@opencode-ai/cli-linux-arm64 - npm Package Compare versions

Comparing version 0.0.0-next-16671 to 0.0.0-next-16676

bin/chunk-08wytajy.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
+  ],
+  "mappings": "",
+  "debugId": "875942786C98B06D64756E2164756E21",
+  "names": []
+}

bin/chunk-0j405m2v.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/ai-gateway-provider@3.1.2+a6631614dda8d488/node_modules/ai-gateway-provider/dist/providers/unified.mjs"],
+  "sourcesContent": [
+    "// src/providers/unified.ts\nimport { createOpenAICompatible } from \"@ai-sdk/openai-compatible\";\nvar createUnified = (arg) => {\n  return createOpenAICompatible({\n    baseURL: \"https://gateway.ai.cloudflare.com/v1/compat\",\n    // intercepted and replaced with actual base URL later\n    name: \"Unified\",\n    ...arg || {}\n  });\n};\nvar unified = createUnified();\nexport {\n  createUnified,\n  unified\n};\n//# sourceMappingURL=unified.mjs.map"
+  ],
+  "mappings": ";kSAEA,SAAI,OAAgB,MAAC,SAAQ,MAC3B,YAAO,OAAuB,CAC5B,QAAS,8CAET,KAAM,aACH,GAAO,CAAC,CACb,CAAC,GAEC,EAAU,EAAc",
+  "debugId": "363B5338273CE39364756E2164756E21",
+  "names": []
+}

bin/chunk-0qr4etwk.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+perplexity@3.0.26+d6123d32214422cb/node_modules/@ai-sdk/perplexity/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/perplexity-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  generateId,\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/perplexity-language-model.ts\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\n\n// src/convert-perplexity-usage.ts\nfunction convertPerplexityUsage(usage) {\n  var _a, _b, _c;\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const promptTokens = (_a = usage.prompt_tokens) != null ? _a : 0;\n  const completionTokens = (_b = usage.completion_tokens) != null ? _b : 0;\n  const reasoningTokens = (_c = usage.reasoning_tokens) != null ? _c : 0;\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens,\n      cacheRead: void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: completionTokens - reasoningTokens,\n      reasoning: reasoningTokens\n    },\n    raw: usage\n  };\n}\n\n// src/convert-to-perplexity-messages.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nimport { convertUint8ArrayToBase64 } from \"@ai-sdk/provider-utils\";\nfunction convertToPerplexityMessages(prompt) {\n  const messages = [];\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\":\n      case \"assistant\": {\n        const hasMultipartContent = content.some(\n          (part) => part.type === \"file\" && part.mediaType.startsWith(\"image/\") || part.type === \"file\" && part.mediaType === \"application/pdf\"\n        );\n        const messageContent = content.map((part, index) => {\n          var _a;\n          switch (part.type) {\n            case \"text\": {\n              return {\n                type: \"text\",\n                text: part.text\n              };\n            }\n            case \"file\": {\n              if (part.mediaType === \"application/pdf\") {\n                return part.data instanceof URL ? {\n                  type: \"file_url\",\n                  file_url: {\n                    url: part.data.toString()\n                  },\n                  file_name: part.filename\n                } : {\n                  type: \"file_url\",\n                  file_url: {\n                    url: typeof part.data === \"string\" ? part.data : convertUint8ArrayToBase64(part.data)\n                  },\n                  file_name: part.filename || `document-${index}.pdf`\n                };\n              } else if (part.mediaType.startsWith(\"image/\")) {\n                return part.data instanceof URL ? {\n                  type: \"image_url\",\n                  image_url: {\n                    url: part.data.toString()\n                  }\n                } : {\n                  type: \"image_url\",\n                  image_url: {\n                    url: `data:${(_a = part.mediaType) != null ? _a : \"image/jpeg\"};base64,${typeof part.data === \"string\" ? part.data : convertUint8ArrayToBase64(part.data)}`\n                  }\n                };\n              }\n            }\n          }\n        }).filter(Boolean);\n        messages.push({\n          role,\n          content: hasMultipartContent ? messageContent : messageContent.filter((part) => part.type === \"text\").map((part) => part.text).join(\"\")\n        });\n        break;\n      }\n      case \"tool\": {\n        throw new UnsupportedFunctionalityError({\n          functionality: \"Tool messages\"\n        });\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return messages;\n}\n\n// src/map-perplexity-finish-reason.ts\nfunction mapPerplexityFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"stop\":\n    case \"length\":\n      return finishReason;\n    default:\n      return \"other\";\n  }\n}\n\n// src/perplexity-language-model.ts\nvar PerplexityLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.provider = \"perplexity\";\n    this.supportedUrls = {\n      // No URLs are supported.\n    };\n    this.modelId = modelId;\n    this.config = config;\n  }\n  getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    providerOptions\n  }) {\n    var _a;\n    const warnings = [];\n    if (topK != null) {\n      warnings.push({ type: \"unsupported\", feature: \"topK\" });\n    }\n    if (stopSequences != null) {\n      warnings.push({ type: \"unsupported\", feature: \"stopSequences\" });\n    }\n    if (seed != null) {\n      warnings.push({ type: \"unsupported\", feature: \"seed\" });\n    }\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n        // standardized settings:\n        frequency_penalty: frequencyPenalty,\n        max_tokens: maxOutputTokens,\n        presence_penalty: presencePenalty,\n        temperature,\n        top_k: topK,\n        top_p: topP,\n        // response format:\n        response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? {\n          type: \"json_schema\",\n          json_schema: { schema: responseFormat.schema }\n        } : void 0,\n        // provider extensions\n        ...(_a = providerOptions == null ? void 0 : providerOptions.perplexity) != null ? _a : {},\n        // messages:\n        messages: convertToPerplexityMessages(prompt)\n      },\n      warnings\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l;\n    const { args: body, warnings } = this.getArgs(options);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: perplexityErrorSchema,\n        errorToMessage\n      }),\n      successfulResponseHandler: createJsonResponseHandler(\n        perplexityResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const choice = response.choices[0];\n    const content = [];\n    const text = choice.message.content;\n    if (text.length > 0) {\n      content.push({ type: \"text\", text });\n    }\n    if (response.citations != null) {\n      for (const url of response.citations) {\n        content.push({\n          type: \"source\",\n          sourceType: \"url\",\n          id: this.config.generateId(),\n          url\n        });\n      }\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapPerplexityFinishReason(choice.finish_reason),\n        raw: (_a = choice.finish_reason) != null ? _a : void 0\n      },\n      usage: convertPerplexityUsage(response.usage),\n      request: { body },\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings,\n      providerMetadata: {\n        perplexity: {\n          images: (_c = (_b = response.images) == null ? void 0 : _b.map((image) => ({\n            imageUrl: image.image_url,\n            originUrl: image.origin_url,\n            height: image.height,\n            width: image.width\n          }))) != null ? _c : null,\n          usage: {\n            citationTokens: (_e = (_d = response.usage) == null ? void 0 : _d.citation_tokens) != null ? _e : null,\n            numSearchQueries: (_g = (_f = response.usage) == null ? void 0 : _f.num_search_queries) != null ? _g : null\n          },\n          cost: ((_h = response.usage) == null ? void 0 : _h.cost) ? {\n            inputTokensCost: (_i = response.usage.cost.input_tokens_cost) != null ? _i : null,\n            outputTokensCost: (_j = response.usage.cost.output_tokens_cost) != null ? _j : null,\n            requestCost: (_k = response.usage.cost.request_cost) != null ? _k : null,\n            totalCost: (_l = response.usage.cost.total_cost) != null ? _l : null\n          } : null\n        }\n      }\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = this.getArgs(options);\n    const body = { ...args, stream: true };\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: perplexityErrorSchema,\n        errorToMessage\n      }),\n      successfulResponseHandler: createEventSourceResponseHandler(\n        perplexityChunkSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    const providerMetadata = {\n      perplexity: {\n        usage: {\n          citationTokens: null,\n          numSearchQueries: null\n        },\n        cost: null,\n        images: null\n      }\n    };\n    let isFirstChunk = true;\n    let isActive = false;\n    const self = this;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            var _a, _b, _c, _d, _e, _f, _g;\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            if (isFirstChunk) {\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value)\n              });\n              (_a = value.citations) == null ? void 0 : _a.forEach((url) => {\n                controller.enqueue({\n                  type: \"source\",\n                  sourceType: \"url\",\n                  id: self.config.generateId(),\n                  url\n                });\n              });\n              isFirstChunk = false;\n            }\n            if (value.usage != null) {\n              usage = value.usage;\n              providerMetadata.perplexity.usage = {\n                citationTokens: (_b = value.usage.citation_tokens) != null ? _b : null,\n                numSearchQueries: (_c = value.usage.num_search_queries) != null ? _c : null\n              };\n              providerMetadata.perplexity.cost = value.usage.cost ? {\n                inputTokensCost: (_d = value.usage.cost.input_tokens_cost) != null ? _d : null,\n                outputTokensCost: (_e = value.usage.cost.output_tokens_cost) != null ? _e : null,\n                requestCost: (_f = value.usage.cost.request_cost) != null ? _f : null,\n                totalCost: (_g = value.usage.cost.total_cost) != null ? _g : null\n              } : null;\n            }\n            if (value.images != null) {\n              providerMetadata.perplexity.images = value.images.map((image) => ({\n                imageUrl: image.image_url,\n                originUrl: image.origin_url,\n                height: image.height,\n                width: image.width\n              }));\n            }\n            const choice = value.choices[0];\n            if ((choice == null ? void 0 : choice.finish_reason) != null) {\n              finishReason = {\n                unified: mapPerplexityFinishReason(choice.finish_reason),\n                raw: choice.finish_reason\n              };\n            }\n            if ((choice == null ? void 0 : choice.delta) == null) {\n              return;\n            }\n            const delta = choice.delta;\n            const textContent = delta.content;\n            if (textContent != null) {\n              if (!isActive) {\n                controller.enqueue({ type: \"text-start\", id: \"0\" });\n                isActive = true;\n              }\n              controller.enqueue({\n                type: \"text-delta\",\n                id: \"0\",\n                delta: textContent\n              });\n            }\n          },\n          flush(controller) {\n            if (isActive) {\n              controller.enqueue({ type: \"text-end\", id: \"0\" });\n            }\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertPerplexityUsage(usage),\n              providerMetadata\n            });\n          }\n        })\n      ),\n      request: { body },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nfunction getResponseMetadata({\n  id,\n  model,\n  created\n}) {\n  return {\n    id,\n    modelId: model,\n    timestamp: new Date(created * 1e3)\n  };\n}\nvar perplexityCostSchema = z.object({\n  input_tokens_cost: z.number().nullish(),\n  output_tokens_cost: z.number().nullish(),\n  request_cost: z.number().nullish(),\n  total_cost: z.number().nullish()\n});\nvar perplexityUsageSchema = z.object({\n  prompt_tokens: z.number(),\n  completion_tokens: z.number(),\n  total_tokens: z.number().nullish(),\n  citation_tokens: z.number().nullish(),\n  num_search_queries: z.number().nullish(),\n  reasoning_tokens: z.number().nullish(),\n  cost: perplexityCostSchema.nullish()\n});\nvar perplexityImageSchema = z.object({\n  image_url: z.string(),\n  origin_url: z.string(),\n  height: z.number(),\n  width: z.number()\n});\nvar perplexityResponseSchema = z.object({\n  id: z.string(),\n  created: z.number(),\n  model: z.string(),\n  choices: z.array(\n    z.object({\n      message: z.object({\n        role: z.literal(\"assistant\"),\n        content: z.string()\n      }),\n      finish_reason: z.string().nullish()\n    })\n  ),\n  citations: z.array(z.string()).nullish(),\n  images: z.array(perplexityImageSchema).nullish(),\n  usage: perplexityUsageSchema.nullish()\n});\nvar perplexityChunkSchema = z.object({\n  id: z.string(),\n  created: z.number(),\n  model: z.string(),\n  choices: z.array(\n    z.object({\n      delta: z.object({\n        role: z.literal(\"assistant\"),\n        content: z.string()\n      }),\n      finish_reason: z.string().nullish()\n    })\n  ),\n  citations: z.array(z.string()).nullish(),\n  images: z.array(perplexityImageSchema).nullish(),\n  usage: perplexityUsageSchema.nullish()\n});\nvar perplexityErrorSchema = z.object({\n  error: z.object({\n    code: z.number(),\n    message: z.string().nullish(),\n    type: z.string().nullish()\n  })\n});\nvar errorToMessage = (data) => {\n  var _a, _b;\n  return (_b = (_a = data.error.message) != null ? _a : data.error.type) != null ? _b : \"unknown error\";\n};\n\n// src/version.ts\nvar VERSION = true ? \"3.0.26\" : \"0.0.0-test\";\n\n// src/perplexity-provider.ts\nfunction createPerplexity(options = {}) {\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"PERPLEXITY_API_KEY\",\n        description: \"Perplexity\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/perplexity/${VERSION}`\n  );\n  const createLanguageModel = (modelId) => {\n    var _a;\n    return new PerplexityLanguageModel(modelId, {\n      baseURL: withoutTrailingSlash(\n        (_a = options.baseURL) != null ? _a : \"https://api.perplexity.ai\"\n      ),\n      headers: getHeaders,\n      generateId,\n      fetch: options.fetch\n    });\n  };\n  const provider = (modelId) => createLanguageModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createLanguageModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar perplexity = createPerplexity();\nexport {\n  VERSION,\n  createPerplexity,\n  perplexity\n};\n//# sourceMappingURL=index.mjs.map"
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+  "debugId": "7D79C1788BD2FCA364756E2164756E21",
+  "names": []
+}

bin/chunk-11gp76sj.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/restart.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.restart,\n  Effect.fn(\"cli.service.restart\")(function* () {\n    const options = yield* ServiceConfig.options()\n    yield* Service.stop(options)\n    const transport = yield* Service.ensure(options)\n    process.stdout.write(transport.url + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";+0BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,aACnC,OAAO,QAAG,0BAAqB,OAAE,cAAU,OAAG,MAC5C,SAAM,OAAU,WAAO,OAAc,aAAQ,EAC7C,MAAO,EAAQ,KAAK,CAAO,EAC3B,IAAM,EAAY,MAAO,EAAQ,OAAO,CAAO,EAC/C,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
+  "debugId": "61E35DEFF7072DF464756E2164756E21",
+  "names": []
+}

bin/chunk-14xj7499.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/mini/demo.ts"],
+  "sourcesContent": [
+    "// Demo mode for testing direct interactive mode without a real SDK.\n//\n// Enabled with `--demo`. Intercepts prompt submissions and drives the same\n// presentation commits and footer actions as the live transport. This\n// lets you test scrollback formatting, permission UI, canonical Form UI, and tool\n// snapshots without making actual model calls. Pass a demo slash command as\n// the initial interactive message to trigger a preview immediately.\n//\n// Slash commands:\n//   /permission [kind] → triggers a permission request variant\n//   /form [kind]       → triggers a canonical Form request variant\n//   /fmt <kind>   → emits a specific tool/text type (text, reasoning, shell,\n//                   write, edit, patch, subagent, question, error, mix)\n//\n// Demo mode handles permission and Form replies locally, completing or failing\n// the synthetic tool parts through the same callbacks used by the live footer.\nimport path from \"path\"\nimport type { JsonValue, SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { parseSlashHead } from \"../prompt/parse\"\nimport { writeSessionOutput } from \"./stream\"\nimport { toolCommit, toolFinalPhase } from \"./stream-v2.subagent\"\nimport type {\n  FooterApi,\n  FooterView,\n  FormCancel,\n  FormReply,\n  MiniFormRequest,\n  MiniPermissionRequest,\n  PermissionReply,\n  RunPrompt,\n  StreamCommit,\n} from \"./types\"\n\nconst KINDS = [\n  \"markdown\",\n  \"table\",\n  \"text\",\n  \"reasoning\",\n  \"shell\",\n  \"write\",\n  \"edit\",\n  \"patch\",\n  \"subagent\",\n  \"question\",\n  \"error\",\n  \"mix\",\n]\nconst PERMISSIONS = [\"edit\", \"shell\", \"read\", \"subagent\", \"external\", \"doom\"] as const\nconst FORMS = [\"question\", \"external\"] as const\n\ntype PermissionKind = (typeof PERMISSIONS)[number]\ntype FormKind = (typeof FORMS)[number]\n\nfunction permissionKind(value: string | undefined): PermissionKind | undefined {\n  const next = (value || \"edit\").toLowerCase()\n  return PERMISSIONS.find((item) => item === next)\n}\n\nfunction formKind(value: string | undefined): FormKind | undefined {\n  const next = (value || \"question\").toLowerCase()\n  return FORMS.find((item) => item === next)\n}\n\nconst SAMPLE_MARKDOWN = [\n  \"# Direct Mode Demo\",\n  \"\",\n  \"This is a realistic assistant response for direct-mode formatting checks.\",\n  \"It mixes **bold**, _italic_, `inline code`, links, code fences, and tables in one streamed reply.\",\n  \"\",\n  \"## Summary\",\n  \"\",\n  \"- Restored the final markdown flush so the last block is committed on idle.\",\n  \"- Switched markdown scrollback commits back to top-level block boundaries.\",\n  \"- Added footer-level regression coverage for split-footer rendering.\",\n  \"\",\n  \"## Status\",\n  \"\",\n  \"| Area | Before | After | Notes |\",\n  \"| --- | --- | --- | --- |\",\n  \"| Direct mode | Missing final rows | Stable | Final markdown block now flushes on idle |\",\n  \"| Tables | Dropped in streaming mode | Visible | Block-based commits match the working OpenTUI demo |\",\n  \"| Tests | Partial coverage | Broader coverage | Includes a footer-level split render capture |\",\n  \"\",\n  \"> This sample intentionally includes a wide table so you can spot wrapping and commit bugs quickly.\",\n  \"\",\n  \"```ts\",\n  \"const result = { markdown: true, tables: 2, stable: true }\",\n  \"```\",\n  \"\",\n  \"## Files\",\n  \"\",\n  \"| File | Change |\",\n  \"| --- | --- |\",\n  \"| `scrollback.surface.ts` | Align markdown commit logic with the split-footer demo |\",\n  \"| `footer.ts` | Keep active surfaces across footer-height-only resizes |\",\n  \"| `footer.test.ts` | Capture real split-footer markdown payloads during idle completion |\",\n  \"\",\n  \"Next step: run `/fmt table` if you want a tighter table-only sample.\",\n].join(\"\\n\")\n\nconst SAMPLE_TABLE = [\n  \"# Table Sample\",\n  \"\",\n  \"| Kind | Example | Notes |\",\n  \"| --- | --- | --- |\",\n  \"| Pipe | `A\\\\|B` | Escaped pipes should stay in one cell |\",\n  \"| Unicode | `漢字` | Wide characters should remain aligned |\",\n  \"| Wrap | `LongTokenWithoutNaturalBreaks_1234567890` | Useful for width stress |\",\n  \"| Status | done | Final row should still appear after idle |\",\n].join(\"\\n\")\n\ntype Ref = {\n  msg: string\n  call: string\n  tool: string\n  input: Record<string, JsonValue>\n  start: number\n}\n\ntype FormRequest = {\n  ref: Ref\n  kind: FormKind\n  request: MiniFormRequest\n}\n\ntype Perm = {\n  ref: Ref\n  done: {\n    output: string\n    metadata?: Record<string, JsonValue>\n  }\n}\n\ntype Permit = {\n  ref: Ref\n  permission: string\n  patterns: string[]\n  metadata?: MiniPermissionRequest[\"metadata\"]\n  always: string[]\n  done: Perm[\"done\"]\n}\n\ntype State = {\n  id: string\n  thinking: boolean\n  footer: FooterApi\n  msg: number\n  part: number\n  call: number\n  perm: number\n  form: number\n  perms: Map<string, Perm>\n  forms: Map<string, FormRequest>\n  started: Set<string>\n}\n\ntype Input = {\n  sessionID: string\n  thinking: boolean\n  footer: FooterApi\n}\n\nfunction note(footer: FooterApi, text: string): void {\n  footer.append({\n    kind: \"system\",\n    text,\n    phase: \"start\",\n    source: \"system\",\n  })\n}\n\nfunction clearSubagent(footer: FooterApi): void {\n  footer.event({\n    type: \"stream.subagent\",\n    state: {\n      tabs: [],\n      details: {},\n      permissions: [],\n      forms: [],\n    },\n  })\n}\n\nfunction showSubagent(\n  state: State,\n  input: {\n    sessionID: string\n    label: string\n    description: string\n    status: \"running\" | \"completed\" | \"cancelled\" | \"error\"\n    title?: string\n    commits: StreamCommit[]\n  },\n) {\n  state.footer.event({\n    type: \"stream.subagent\",\n    state: {\n      tabs: [\n        {\n          sessionID: input.sessionID,\n          label: input.label,\n          description: input.description,\n          status: input.status,\n          title: input.title,\n        },\n      ],\n      details: {\n        [input.sessionID]: {\n          commits: input.commits,\n        },\n      },\n      permissions: [],\n      forms: [],\n    },\n  })\n}\n\nfunction wait(ms: number, signal?: AbortSignal): Promise<void> {\n  return new Promise((resolve) => {\n    if (!signal) {\n      setTimeout(resolve, ms)\n      return\n    }\n\n    if (signal.aborted) {\n      resolve()\n      return\n    }\n\n    const done = () => {\n      clearTimeout(timer)\n      signal.removeEventListener(\"abort\", done)\n      resolve()\n    }\n\n    const timer = setTimeout(() => {\n      signal.removeEventListener(\"abort\", done)\n      resolve()\n    }, ms)\n\n    signal.addEventListener(\"abort\", done, { once: true })\n  })\n}\n\nfunction split(text: string): string[] {\n  if (text.length <= 48) {\n    return [text]\n  }\n\n  const size = Math.ceil(text.length / 3)\n  return [text.slice(0, size), text.slice(size, size * 2), text.slice(size * 2)]\n}\n\nfunction take(state: State, key: \"msg\" | \"part\" | \"call\" | \"perm\", prefix: string): string {\n  state[key] += 1\n  return `demo_${prefix}_${state[key]}`\n}\n\nfunction present(state: State, commits: StreamCommit[], view?: FooterView): void {\n  writeSessionOutput(\n    { footer: state.footer },\n    {\n      commits,\n      updates: view\n        ? [\n            {\n              type: \"stream.patch\" as const,\n              patch: { status: view.type === \"permission\" ? \"awaiting permission\" : \"awaiting form\" },\n            },\n            { type: \"stream.view\" as const, view },\n          ]\n        : undefined,\n    },\n  )\n}\n\nfunction clearBlocker(state: State): void {\n  writeSessionOutput(\n    { footer: state.footer },\n    {\n      commits: [],\n      updates: [\n        { type: \"stream.patch\", patch: { status: \"\" } },\n        { type: \"stream.view\", view: { type: \"prompt\" } },\n      ],\n    },\n  )\n}\n\nfunction open(state: State): string {\n  return take(state, \"msg\", \"msg\")\n}\n\nasync function emitText(state: State, body: string, signal?: AbortSignal): Promise<void> {\n  const msg = open(state)\n  const part = take(state, \"part\", \"part\")\n  for (const item of split(body)) {\n    if (signal?.aborted) {\n      return\n    }\n\n    present(state, [\n      { kind: \"assistant\", source: \"assistant\", text: item, phase: \"progress\", messageID: msg, partID: part },\n    ])\n    await wait(45, signal)\n  }\n}\n\nasync function emitReasoning(state: State, body: string, signal?: AbortSignal): Promise<void> {\n  const msg = open(state)\n  const part = take(state, \"part\", \"part\")\n  let first = true\n  for (const item of split(body)) {\n    if (signal?.aborted) {\n      return\n    }\n\n    if (state.thinking) {\n      present(state, [\n        {\n          kind: \"reasoning\",\n          source: \"reasoning\",\n          text: first ? `Thinking: ${item.replace(/\\[REDACTED\\]/g, \"\")}` : item.replace(/\\[REDACTED\\]/g, \"\"),\n          phase: \"progress\",\n          messageID: msg,\n          partID: part,\n        },\n      ])\n      first = false\n    }\n    await wait(45, signal)\n  }\n}\n\nfunction make(state: State, tool: string, input: Record<string, JsonValue>): Ref {\n  return {\n    msg: open(state),\n    call: take(state, \"call\", \"call\"),\n    tool,\n    input,\n    start: Date.now(),\n  }\n}\n\nfunction startTool(state: State, ref: Ref, metadata: Record<string, JsonValue> = {}): SessionMessageAssistantTool {\n  state.started.add(ref.call)\n  const part = {\n    type: \"tool\" as const,\n    id: ref.call,\n    name: ref.tool,\n    state: { status: \"running\" as const, input: ref.input, metadata },\n    time: { created: ref.start, ran: ref.start },\n  }\n  present(state, [toolCommit(part, ref.msg, \"start\")])\n  return part\n}\n\nfunction askPermission(state: State, item: Permit): void {\n  const tool = startTool(state, item.ref)\n\n  const id = take(state, \"perm\", \"perm\")\n  state.perms.set(id, {\n    ref: item.ref,\n    done: item.done,\n  })\n\n  present(state, [], {\n    type: \"permission\",\n    request: {\n      id,\n      sessionID: state.id,\n      action: item.permission,\n      resources: item.patterns,\n      metadata: item.metadata ?? {},\n      save: item.always,\n      source: { type: \"tool\", messageID: item.ref.msg, callID: item.ref.call },\n      tool,\n    },\n  })\n}\n\nfunction doneTool(\n  state: State,\n  ref: Ref,\n  output: {\n    output: string\n    metadata?: Record<string, JsonValue>\n  },\n): void {\n  if (!state.started.has(ref.call)) startTool(state, ref)\n  const part: SessionMessageAssistantTool = {\n    type: \"tool\",\n    id: ref.call,\n    name: ref.tool,\n    state: {\n      status: \"completed\",\n      input: ref.input,\n      content: [{ type: \"text\", text: output.output }],\n      metadata: output.metadata,\n    },\n    time: { created: ref.start, ran: ref.start, completed: Date.now() },\n  }\n  present(state, [toolCommit(part, ref.msg, toolFinalPhase(part))])\n}\n\nfunction failTool(state: State, ref: Ref, error: string): void {\n  if (!state.started.has(ref.call)) startTool(state, ref)\n  present(state, [\n    toolCommit(\n      {\n        type: \"tool\",\n        id: ref.call,\n        name: ref.tool,\n        state: {\n          status: \"error\",\n          input: ref.input,\n          error: { type: \"unknown\", message: error },\n        },\n        time: { created: ref.start, ran: ref.start, completed: Date.now() },\n      },\n      ref.msg,\n      \"final\",\n    ),\n  ])\n}\n\nfunction emitError(state: State, text: string): void {\n  present(state, [{ kind: \"error\", source: \"system\", text, phase: \"start\" }])\n}\n\nasync function emitBash(state: State, signal?: AbortSignal): Promise<void> {\n  const ref = make(state, \"shell\", {\n    command: \"git status\",\n    workdir: process.cwd(),\n    description: \"Show git status\",\n  })\n  startTool(state, ref)\n  await wait(70, signal)\n  doneTool(state, ref, {\n    output: `${process.cwd()}\\ngit status\\nOn branch demo\\nnothing to commit, working tree clean\\n`,\n    metadata: {\n      exit: 0,\n    },\n  })\n}\n\nfunction emitWrite(state: State): void {\n  const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n  const ref = make(state, \"write\", {\n    path: file,\n    content: \"export const demo = 42\\n\",\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {},\n  })\n}\n\nfunction emitEdit(state: State): void {\n  const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n  const ref = make(state, \"edit\", {\n    path: file,\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      files: [\n        {\n          file,\n          status: \"modified\",\n          patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n        },\n      ],\n    },\n  })\n}\n\nfunction emitPatch(state: State): void {\n  const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n  const ref = make(state, \"patch\", {\n    patchText: \"*** Begin Patch\\n*** End Patch\",\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      files: [\n        {\n          status: \"modified\",\n          file,\n          patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n          deletions: 1,\n        },\n        {\n          status: \"added\",\n          file: path.join(process.cwd(), \"README-demo.md\"),\n          patch: \"@@ -0,0 +1,4 @@\\n+# Demo\\n+This is a generated preview file.\\n\",\n          deletions: 0,\n        },\n      ],\n    },\n  })\n}\n\nfunction emitTask(state: State): void {\n  const ref = make(state, \"subagent\", {\n    description: \"Scan run/* for reducer touchpoints\",\n    agent: \"explore\",\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      sessionID: \"ses_demo_child\",\n      status: \"completed\",\n      output: \"\",\n    },\n  })\n  const part = {\n    type: \"tool\",\n    id: \"sub_demo_call_1\",\n    name: \"read\",\n    state: {\n      status: \"running\",\n      input: {\n        path: \"packages/tui/src/mini/stream.ts\",\n        offset: 1,\n        limit: 200,\n      },\n      metadata: {},\n    },\n    time: { created: Date.now(), ran: Date.now() },\n  } satisfies SessionMessageAssistantTool\n  showSubagent(state, {\n    sessionID: \"ses_demo_child\",\n    label: \"Explore\",\n    description: \"Scan run/* for reducer touchpoints\",\n    status: \"completed\",\n    title: \"Reducer touchpoints found\",\n    commits: [\n      {\n        kind: \"user\",\n        text: \"Scan run/* for reducer touchpoints\",\n        phase: \"start\",\n        source: \"system\",\n      },\n      {\n        kind: \"reasoning\",\n        text: \"Thinking: tracing reducer and footer boundaries\",\n        phase: \"progress\",\n        source: \"reasoning\",\n        messageID: \"sub_demo_msg_reasoning\",\n        partID: \"sub_demo_reasoning_1\",\n      },\n      toolCommit(part, \"sub_demo_msg_tool\", \"start\"),\n      {\n        kind: \"assistant\",\n        text: \"Footer updates flow through stream.ts into RunFooter\",\n        phase: \"progress\",\n        source: \"assistant\",\n        messageID: \"sub_demo_msg_text\",\n        partID: \"sub_demo_text_1\",\n      },\n    ],\n  })\n}\n\nfunction emitQuestionTool(state: State): void {\n  const ref = make(state, \"question\", {\n    questions: [\n      {\n        header: \"Style\",\n        question: \"Which output style do you want to inspect?\",\n        options: [\n          { label: \"Diff\", description: \"Show diff block\" },\n          { label: \"Code\", description: \"Show code block\" },\n        ],\n        multiple: false,\n        custom: false,\n      },\n      {\n        header: \"Extras\",\n        question: \"Pick extra rows\",\n        options: [\n          { label: \"Usage\", description: \"Add usage row\" },\n          { label: \"Duration\", description: \"Add duration row\" },\n        ],\n        multiple: true,\n        custom: true,\n      },\n    ],\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      answers: [[\"Diff\"], [\"Usage\", \"custom-note\"]],\n    },\n  })\n}\n\nfunction emitPermission(state: State, kind: PermissionKind = \"edit\"): void {\n  const root = process.cwd()\n  const file = path.join(root, \"src\", \"demo-format.ts\")\n\n  if (kind === \"shell\") {\n    const command = \"git status --short\"\n    const ref = make(state, \"shell\", {\n      command,\n      workdir: root,\n      description: \"Inspect worktree changes\",\n    })\n    askPermission(state, {\n      ref,\n      permission: \"shell\",\n      patterns: [command],\n      always: [\"*\"],\n      done: {\n        output: `${root}\\ngit status --short\\n M src/demo-format.ts\\n?? src/demo-permission.ts\\n`,\n        metadata: {\n          exit: 0,\n        },\n      },\n    })\n    return\n  }\n\n  if (kind === \"read\") {\n    const target = path.join(root, \"package.json\")\n    const ref = make(state, \"read\", {\n      path: target,\n      offset: 1,\n      limit: 80,\n    })\n    askPermission(state, {\n      ref,\n      permission: \"read\",\n      patterns: [target],\n      always: [target],\n      done: {\n        output: [\"1: {\", '2:   \"name\": \"opencode\",', '3:   \"private\": true', \"4: }\"].join(\"\\n\"),\n        metadata: {},\n      },\n    })\n    return\n  }\n\n  if (kind === \"subagent\") {\n    const ref = make(state, \"subagent\", {\n      description: \"Inspect footer spacing across direct-mode prompts\",\n      agent: \"explore\",\n    })\n    askPermission(state, {\n      ref,\n      permission: \"subagent\",\n      patterns: [\"explore\"],\n      always: [\"*\"],\n      done: {\n        output: \"\",\n        metadata: {\n          sessionID: \"sub_demo_perm_1\",\n          status: \"completed\",\n          output: \"\",\n        },\n      },\n    })\n    return\n  }\n\n  if (kind === \"external\") {\n    const dir = path.join(path.dirname(root), \"demo-shared\")\n    const target = path.join(dir, \"README.md\")\n    const ref = make(state, \"read\", {\n      path: target,\n      offset: 1,\n      limit: 40,\n    })\n    askPermission(state, {\n      ref,\n      permission: \"external_directory\",\n      patterns: [`${dir}/**`],\n      metadata: {\n        parentDir: dir,\n        filepath: target,\n      },\n      always: [`${dir}/**`],\n      done: {\n        output: `1: # External demo\\n2: Shared preview file\\nPath: ${target}`,\n        metadata: {},\n      },\n    })\n    return\n  }\n\n  if (kind === \"doom\") {\n    const ref = make(state, \"subagent\", {\n      description: \"Retry the formatter after repeated failures\",\n      agent: \"general\",\n    })\n    askPermission(state, {\n      ref,\n      permission: \"doom_loop\",\n      patterns: [\"*\"],\n      always: [\"*\"],\n      done: {\n        output: \"Continuing after repeated failures.\\n\",\n        metadata: {},\n      },\n    })\n    return\n  }\n\n  const diff = \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\"\n  const ref = make(state, \"edit\", {\n    path: file,\n  })\n  askPermission(state, {\n    ref,\n    permission: \"edit\",\n    patterns: [file],\n    always: [file],\n    done: {\n      output: \"\",\n      metadata: {\n        files: [{ file, status: \"modified\", patch: diff }],\n      },\n    },\n  })\n}\n\nfunction demoForm(kind: FormKind): { title: string; fields: MiniFormRequest[\"fields\"]; questions?: JsonValue[] } {\n  if (kind === \"question\") {\n    const questions: JsonValue[] = [\n      {\n        header: \"Layout\",\n        question: \"Which footer view should be the reference for spacing checks?\",\n        options: [\n          { label: \"Form\", description: \"Inspect the canonical Form footer\" },\n          { label: \"Prompt\", description: \"Return to the normal composer\" },\n        ],\n        multiple: false,\n        custom: true,\n      },\n      {\n        header: \"Checks\",\n        question: \"Pick formatting previews\",\n        options: [\n          { label: \"Diff\", description: \"Emit an edit diff\" },\n          { label: \"Subagent\", description: \"Emit a subagent card\" },\n        ],\n        multiple: true,\n        custom: true,\n      },\n    ]\n    return {\n      title: \"Questions\",\n      questions,\n      fields: [\n        {\n          key: \"q0\",\n          title: \"Layout\",\n          description: \"Which footer view should be the reference for spacing checks?\",\n          type: \"string\",\n          options: [\n            { value: \"Form\", label: \"Form\", description: \"Inspect the canonical Form footer\" },\n            { value: \"Prompt\", label: \"Prompt\", description: \"Return to the normal composer\" },\n          ],\n          custom: true,\n        },\n        {\n          key: \"q1\",\n          title: \"Checks\",\n          description: \"Pick formatting previews\",\n          type: \"multiselect\",\n          options: [\n            { value: \"Diff\", label: \"Diff\", description: \"Emit an edit diff\" },\n            { value: \"Subagent\", label: \"Subagent\", description: \"Emit a subagent card\" },\n          ],\n          custom: true,\n        },\n      ],\n    }\n  }\n  return {\n    title: \"MCP authorization\",\n    fields: [\n      {\n        key: \"authorization\",\n        type: \"external\",\n        url: \"https://example.com/opencode-demo\",\n        title: \"Authorize demo MCP server\",\n        description: \"Complete authorization in your browser\",\n      },\n    ],\n  }\n}\n\nfunction emitForm(state: State, kind: FormKind = \"question\"): void {\n  const form = demoForm(kind)\n  const ref = make(state, kind === \"question\" ? \"question\" : \"mcp_demo\", {\n    ...(form.questions ? { questions: form.questions } : { form: kind }),\n  })\n  startTool(state, ref)\n  state.form++\n  const request: MiniFormRequest = {\n    id: `frm_demo_${state.form}`,\n    sessionID: state.id,\n    title: form.title,\n    metadata:\n      kind === \"question\"\n        ? { kind: \"question\", tool: { messageID: ref.msg, callID: ref.call } }\n        : { kind: \"mcp\", message: `Synthetic ${kind} MCP elicitation` },\n    fields: form.fields,\n  }\n  state.forms.set(request.id, { ref, kind, request })\n  present(state, [], { type: \"form\", request })\n}\n\nasync function emitFmt(state: State, kind: string, body: string, signal?: AbortSignal): Promise<boolean> {\n  if (kind === \"text\") {\n    await emitText(state, body || SAMPLE_MARKDOWN, signal)\n    return true\n  }\n\n  if (kind === \"markdown\" || kind === \"md\") {\n    await emitText(state, body || SAMPLE_MARKDOWN, signal)\n    return true\n  }\n\n  if (kind === \"table\") {\n    await emitText(state, body || SAMPLE_TABLE, signal)\n    return true\n  }\n\n  if (kind === \"reasoning\") {\n    await emitReasoning(state, body || \"Planning next steps [REDACTED] while preserving reducer ordering.\", signal)\n    return true\n  }\n\n  if (kind === \"shell\") {\n    await emitBash(state, signal)\n    return true\n  }\n\n  if (kind === \"write\") {\n    emitWrite(state)\n    return true\n  }\n\n  if (kind === \"edit\") {\n    emitEdit(state)\n    return true\n  }\n\n  if (kind === \"patch\") {\n    emitPatch(state)\n    return true\n  }\n\n  if (kind === \"subagent\") {\n    emitTask(state)\n    return true\n  }\n\n  if (kind === \"question\") {\n    emitQuestionTool(state)\n    return true\n  }\n\n  if (kind === \"error\") {\n    emitError(state, body || \"demo error event\")\n    return true\n  }\n\n  if (kind === \"mix\") {\n    await emitText(state, SAMPLE_MARKDOWN, signal)\n    await wait(50, signal)\n    await emitReasoning(state, \"Thinking through formatter edge cases [REDACTED].\", signal)\n    await wait(50, signal)\n    await emitBash(state, signal)\n    emitWrite(state)\n    emitEdit(state)\n    emitPatch(state)\n    emitTask(state)\n    emitQuestionTool(state)\n    emitError(state, \"demo mixed scenario error\")\n    return true\n  }\n\n  return false\n}\n\nfunction intro(state: State): void {\n  note(\n    state.footer,\n    [\n      \"Demo slash commands enabled for interactive mode.\",\n      `- /permission [kind] (${PERMISSIONS.join(\", \")})`,\n      `- /form [kind] (${FORMS.join(\", \")})`,\n      `- /fmt <kind> (${KINDS.join(\", \")})`,\n      \"Examples:\",\n      \"- /permission shell\",\n      \"- /form question\",\n      \"- /form external\",\n      \"- /fmt markdown\",\n      \"- /fmt table\",\n      \"- /fmt text your custom text\",\n    ].join(\"\\n\"),\n  )\n}\n\nexport function createRunDemo(input: Input) {\n  const state: State = {\n    id: input.sessionID,\n    thinking: input.thinking,\n    footer: input.footer,\n    msg: 0,\n    part: 0,\n    call: 0,\n    perm: 0,\n    form: 0,\n    perms: new Map(),\n    forms: new Map(),\n    started: new Set(),\n  }\n\n  const start = async (): Promise<void> => {\n    intro(state)\n  }\n\n  const prompt = async (line: RunPrompt, signal?: AbortSignal): Promise<boolean> => {\n    const text = line.text.trim()\n    const head = parseSlashHead(text)\n    const list = head?.arguments.split(/\\s+/).filter(Boolean) ?? []\n    const cmd = head ? `/${head.name}` : \"\"\n\n    clearSubagent(state.footer)\n\n    if (cmd === \"/help\") {\n      intro(state)\n      return true\n    }\n\n    if (cmd === \"/permission\") {\n      const kind = permissionKind(list[0])\n      if (!kind) {\n        note(state.footer, `Pick a permission kind: ${PERMISSIONS.join(\", \")}`)\n        return true\n      }\n\n      emitPermission(state, kind)\n      return true\n    }\n\n    if (cmd === \"/form\") {\n      const kind = formKind(list[0])\n      if (!kind) {\n        note(state.footer, `Pick a form kind: ${FORMS.join(\", \")}`)\n        return true\n      }\n\n      emitForm(state, kind)\n      return true\n    }\n\n    if (cmd === \"/fmt\") {\n      const kind = (list[0] || \"\").toLowerCase()\n      const body = list.slice(1).join(\" \")\n      if (!kind) {\n        note(state.footer, `Pick a kind: ${KINDS.join(\", \")}`)\n        return true\n      }\n\n      const ok = await emitFmt(state, kind, body, signal)\n      if (ok) {\n        return true\n      }\n\n      note(state.footer, `Unknown kind \"${kind}\". Use: ${KINDS.join(\", \")}`)\n      return true\n    }\n\n    return false\n  }\n\n  const permission = (input: PermissionReply): boolean => {\n    const item = state.perms.get(input.requestID)\n    if (!item || !input.reply) {\n      return false\n    }\n\n    state.perms.delete(input.requestID)\n    clearBlocker(state)\n\n    if (input.reply === \"reject\") {\n      failTool(state, item.ref, input.message || \"permission rejected\")\n      return true\n    }\n\n    doneTool(state, item.ref, item.done)\n    return true\n  }\n\n  const formReply = (input: FormReply): boolean => {\n    const form = state.forms.get(input.formID)\n    if (!form || input.sessionID !== form.request.sessionID) return false\n    state.forms.delete(input.formID)\n    clearBlocker(state)\n    if (form.kind === \"question\") {\n      doneTool(state, form.ref, {\n        output: \"\",\n        metadata: {\n          answers: form.request.fields.map((field) => {\n            const value = input.answer[field.key]\n            if (value === undefined) return []\n            return Array.isArray(value) ? [...value] : [String(value)]\n          }),\n        },\n      })\n      return true\n    }\n    doneTool(state, form.ref, {\n      output: `Form submitted: ${Object.entries(input.answer)\n        .map(([key, value]) => `${key}=${Array.isArray(value) ? value.join(\", \") : String(value)}`)\n        .join(\"; \")}\\n`,\n      metadata: { answer: input.answer },\n    })\n    return true\n  }\n\n  const formCancel = (input: FormCancel): boolean => {\n    const form = state.forms.get(input.formID)\n    if (!form || input.sessionID !== form.request.sessionID) return false\n    state.forms.delete(input.formID)\n    clearBlocker(state)\n    failTool(state, form.ref, \"form cancelled\")\n    return true\n  }\n\n  return {\n    start,\n    prompt,\n    permission,\n    formReply,\n    formCancel,\n  }\n}\n"
+  ],
+  "mappings": 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+  "debugId": "9DDA1028ACCC13E764756E2164756E21",
+  "names": []
+}

bin/chunk-1m5wpck1.js.map

+{
+  "version": 3,
+  "sources": ["src/util/io.ts", "src/session-target.ts"],
+  "sourcesContent": [
+    "import { text } from \"node:stream/consumers\"\n\nexport function readStdin() {\n  return text(process.stdin)\n}\n",
+    "import type { LocationGetOutput, ModelRef, OpenCodeClient, SessionInfo } from \"@opencode-ai/client/promise\"\nimport { Model } from \"@opencode-ai/schema/model\"\n\nconst SESSION_PAGE_LIMIT = 50\n\nexport type SessionTarget = {\n  session: SessionInfo\n  location: LocationGetOutput\n  model: ModelRef | undefined\n  agent: string | undefined\n  resume: boolean\n}\n\nexport type SessionTargetPreparation = (input: {\n  client: OpenCodeClient\n  location: LocationGetOutput\n  session: SessionInfo | undefined\n  model: ModelRef | undefined\n  agent: string | undefined\n  signal?: AbortSignal\n}) => Promise<{ model: ModelRef | undefined; agent: string | undefined }>\n\nexport class SessionTargetMutationError extends Error {\n  override readonly name = \"SessionTargetMutationError\"\n\n  constructor(cause: unknown) {\n    super(cause instanceof Error ? cause.message : \"Session target mutation failed\", { cause })\n  }\n}\n\nexport async function resolveSessionTarget(input: {\n  client: OpenCodeClient\n  location?: { directory?: string; workspace?: string }\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: ModelRef\n  agent?: string\n  prepare: SessionTargetPreparation\n  signal?: AbortSignal\n}): Promise<SessionTarget> {\n  const selection = await selectSession(input)\n  const selected = selection.session\n  const location =\n    selection.location ??\n    (await resolveLocation(\n      input.client,\n      selected ? { directory: selected.location.directory, workspace: selected.location.workspaceID } : input.location,\n      input.signal,\n    ))\n  const prepared = await input.prepare({\n    client: input.client,\n    location,\n    session: selected,\n    model: input.model ?? selected?.model,\n    agent: input.agent ?? selected?.agent,\n    signal: input.signal,\n  })\n  const session =\n    selected ??\n    (await input.client.session\n      .create(\n        {\n          agent: prepared.agent,\n          model: prepared.model,\n          location: { directory: location.directory, workspaceID: location.workspaceID },\n        },\n        ...requestOptions(input.signal),\n      )\n      .catch((error) => {\n        throw new SessionTargetMutationError(error)\n      }))\n  return {\n    session,\n    location,\n    model: prepared.model,\n    agent: prepared.agent ?? session.agent,\n    resume: selected !== undefined,\n  }\n}\n\nexport function parseSessionTargetModel(value?: string): ModelRef | undefined {\n  if (!value) return\n  const model = Model.Ref.parse(value)\n  return { providerID: model.providerID, id: model.id, variant: model.variant }\n}\n\nasync function selectSession(input: {\n  client: OpenCodeClient\n  location?: { directory?: string; workspace?: string }\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  signal?: AbortSignal\n}) {\n  const explicit = input.session\n    ? await input.client.session.get({ sessionID: input.session }, ...requestOptions(input.signal)).catch((error) => {\n        if (error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"SessionNotFoundError\")\n          return undefined\n        throw error\n      })\n    : undefined\n  if (input.session && !explicit) throw new Error(\"Session not found\")\n  if (explicit)\n    return {\n      session: input.fork\n        ? await input.client.session\n            .fork({ sessionID: explicit.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n            .catch((error) => {\n              throw new SessionTargetMutationError(error)\n            })\n        : explicit,\n    }\n  if (!input.continue) return { session: undefined }\n\n  const location = await resolveLocation(input.client, input.location, input.signal)\n  const selected = await latestSession(input.client, location, undefined, input.signal)\n  if (!selected) return { session: undefined, location }\n  return {\n    session: input.fork\n      ? await input.client.session\n          .fork({ sessionID: selected.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n          .catch((error) => {\n            throw new SessionTargetMutationError(error)\n          })\n      : selected,\n  }\n}\n\nasync function latestSession(\n  client: OpenCodeClient,\n  location: LocationGetOutput,\n  cursor?: string,\n  signal?: AbortSignal,\n): Promise<SessionInfo | undefined> {\n  const page = await client.session.list(\n    {\n      directory: location.directory,\n      workspace: location.workspaceID,\n      parentID: null,\n      limit: SESSION_PAGE_LIMIT,\n      order: \"desc\",\n      ...(cursor ? { cursor } : {}),\n    },\n    ...requestOptions(signal),\n  )\n  const selected = page.data.find(\n    (session) =>\n      session.location.directory === location.directory && session.location.workspaceID === location.workspaceID,\n  )\n  if (selected) return selected\n  if (!page.cursor.next || page.data.length === 0) return\n  return latestSession(client, location, page.cursor.next, signal)\n}\n\nfunction resolveLocation(\n  client: OpenCodeClient,\n  location?: { directory?: string; workspace?: string },\n  signal?: AbortSignal,\n) {\n  if (!location && !signal) return client.location.get()\n  if (!location) return client.location.get(undefined, { signal })\n  return client.location.get({ location }, ...requestOptions(signal))\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n  return signal ? [{ signal }] : []\n}\n"
+  ],
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bin/chunk-2dqfve88.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+deepinfra@2.0.41+d6123d32214422cb/node_modules/@ai-sdk/deepinfra/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/deepinfra-provider.ts\nimport {\n  OpenAICompatibleCompletionLanguageModel,\n  OpenAICompatibleEmbeddingModel\n} from \"@ai-sdk/openai-compatible\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/deepinfra-image-model.ts\nimport {\n  combineHeaders,\n  convertBase64ToUint8Array,\n  convertToFormData,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  downloadBlob,\n  postFormDataToApi,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\nvar DeepInfraImageModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n    this.maxImagesPerCall = 1;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    aspectRatio,\n    seed,\n    providerOptions,\n    headers,\n    abortSignal,\n    files,\n    mask\n  }) {\n    var _a, _b, _c, _d, _e;\n    const warnings = [];\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    if (files != null && files.length > 0) {\n      const { value: response2, responseHeaders: responseHeaders2 } = await postFormDataToApi({\n        url: this.getEditUrl(),\n        headers: combineHeaders(this.config.headers(), headers),\n        formData: convertToFormData(\n          {\n            model: this.modelId,\n            prompt,\n            image: await Promise.all(files.map((file) => fileToBlob(file))),\n            mask: mask != null ? await fileToBlob(mask) : void 0,\n            n,\n            size,\n            ...(_d = providerOptions.deepinfra) != null ? _d : {}\n          },\n          { useArrayBrackets: false }\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: deepInfraEditErrorSchema,\n          errorToMessage: (error) => {\n            var _a2, _b2;\n            return (_b2 = (_a2 = error.error) == null ? void 0 : _a2.message) != null ? _b2 : \"Unknown error\";\n          }\n        }),\n        successfulResponseHandler: createJsonResponseHandler(\n          deepInfraEditResponseSchema\n        ),\n        abortSignal,\n        fetch: this.config.fetch\n      });\n      return {\n        images: response2.data.map((item) => item.b64_json),\n        warnings,\n        response: {\n          timestamp: currentDate,\n          modelId: this.modelId,\n          headers: responseHeaders2\n        }\n      };\n    }\n    const splitSize = size == null ? void 0 : size.split(\"x\");\n    const { value: response, responseHeaders } = await postJsonToApi({\n      url: `${this.config.baseURL}/${this.modelId}`,\n      headers: combineHeaders(this.config.headers(), headers),\n      body: {\n        prompt,\n        num_images: n,\n        ...aspectRatio && { aspect_ratio: aspectRatio },\n        ...splitSize && { width: splitSize[0], height: splitSize[1] },\n        ...seed != null && { seed },\n        ...(_e = providerOptions.deepinfra) != null ? _e : {}\n      },\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: deepInfraErrorSchema,\n        errorToMessage: (error) => error.detail.error\n      }),\n      successfulResponseHandler: createJsonResponseHandler(\n        deepInfraImageResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      images: response.images.map(\n        (image) => image.replace(/^data:image\\/\\w+;base64,/, \"\")\n      ),\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders\n      }\n    };\n  }\n  getEditUrl() {\n    const baseUrl = this.config.baseURL.replace(\"/inference\", \"/openai\");\n    return `${baseUrl}/images/edits`;\n  }\n};\nvar deepInfraErrorSchema = z.object({\n  detail: z.object({\n    error: z.string()\n  })\n});\nvar deepInfraImageResponseSchema = z.object({\n  images: z.array(z.string())\n});\nvar deepInfraEditErrorSchema = z.object({\n  error: z.object({\n    message: z.string()\n  }).optional()\n});\nvar deepInfraEditResponseSchema = z.object({\n  data: z.array(z.object({ b64_json: z.string() }))\n});\nasync function fileToBlob(file) {\n  if (file.type === \"url\") {\n    return downloadBlob(file.url);\n  }\n  const data = file.data instanceof Uint8Array ? file.data : convertBase64ToUint8Array(file.data);\n  return new Blob([data], { type: file.mediaType });\n}\n\n// src/deepinfra-chat-language-model.ts\nimport { OpenAICompatibleChatLanguageModel } from \"@ai-sdk/openai-compatible\";\nvar DeepInfraChatLanguageModel = class extends OpenAICompatibleChatLanguageModel {\n  constructor(modelId, config) {\n    super(modelId, config);\n  }\n  /**\n   * Fixes incorrect token usage for Gemini/Gemma models from DeepInfra.\n   *\n   * DeepInfra's API returns completion_tokens that don't include reasoning_tokens\n   * for Gemini/Gemma models, which violates the OpenAI-compatible spec.\n   * According to the spec, completion_tokens should include reasoning_tokens.\n   *\n   * Example of incorrect data from DeepInfra:\n   * {\n   *   \"completion_tokens\": 84,    // text-only tokens\n   *   \"completion_tokens_details\": {\n   *     \"reasoning_tokens\": 1081  // reasoning tokens not included above\n   *   }\n   * }\n   *\n   * This would result in negative text tokens: 84 - 1081 = -997\n   *\n   * The fix: If reasoning_tokens > completion_tokens, add reasoning_tokens\n   * to completion_tokens: 84 + 1081 = 1165\n   */\n  fixUsageForGeminiModels(usage) {\n    var _a, _b;\n    if (!usage || !((_a = usage.completion_tokens_details) == null ? void 0 : _a.reasoning_tokens)) {\n      return usage;\n    }\n    const completionTokens = (_b = usage.completion_tokens) != null ? _b : 0;\n    const reasoningTokens = usage.completion_tokens_details.reasoning_tokens;\n    if (reasoningTokens > completionTokens) {\n      const correctedCompletionTokens = completionTokens + reasoningTokens;\n      return {\n        ...usage,\n        // Add reasoning_tokens to completion_tokens to get the correct total\n        completion_tokens: correctedCompletionTokens,\n        // Update total_tokens if present\n        total_tokens: usage.total_tokens != null ? usage.total_tokens + reasoningTokens : void 0\n      };\n    }\n    return usage;\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g;\n    const result = await super.doGenerate(options);\n    if ((_a = result.usage) == null ? void 0 : _a.raw) {\n      const fixedRawUsage = this.fixUsageForGeminiModels(result.usage.raw);\n      if (fixedRawUsage !== result.usage.raw) {\n        const promptTokens = (_b = fixedRawUsage.prompt_tokens) != null ? _b : 0;\n        const completionTokens = (_c = fixedRawUsage.completion_tokens) != null ? _c : 0;\n        const cacheReadTokens = (_e = (_d = fixedRawUsage.prompt_tokens_details) == null ? void 0 : _d.cached_tokens) != null ? _e : 0;\n        const reasoningTokens = (_g = (_f = fixedRawUsage.completion_tokens_details) == null ? void 0 : _f.reasoning_tokens) != null ? _g : 0;\n        return {\n          ...result,\n          usage: {\n            inputTokens: {\n              total: promptTokens,\n              noCache: promptTokens - cacheReadTokens,\n              cacheRead: cacheReadTokens,\n              cacheWrite: void 0\n            },\n            outputTokens: {\n              total: completionTokens,\n              text: completionTokens - reasoningTokens,\n              reasoning: reasoningTokens\n            },\n            raw: fixedRawUsage\n          }\n        };\n      }\n    }\n    return result;\n  }\n  async doStream(options) {\n    const result = await super.doStream(options);\n    const originalStream = result.stream;\n    const fixUsage = this.fixUsageForGeminiModels.bind(this);\n    const transformedStream = new ReadableStream({\n      async start(controller) {\n        var _a, _b, _c, _d, _e, _f, _g;\n        const reader = originalStream.getReader();\n        try {\n          while (true) {\n            const { done, value } = await reader.read();\n            if (done) break;\n            if (value.type === \"finish\" && ((_a = value.usage) == null ? void 0 : _a.raw)) {\n              const fixedRawUsage = fixUsage(value.usage.raw);\n              if (fixedRawUsage !== value.usage.raw) {\n                const promptTokens = (_b = fixedRawUsage.prompt_tokens) != null ? _b : 0;\n                const completionTokens = (_c = fixedRawUsage.completion_tokens) != null ? _c : 0;\n                const cacheReadTokens = (_e = (_d = fixedRawUsage.prompt_tokens_details) == null ? void 0 : _d.cached_tokens) != null ? _e : 0;\n                const reasoningTokens = (_g = (_f = fixedRawUsage.completion_tokens_details) == null ? void 0 : _f.reasoning_tokens) != null ? _g : 0;\n                controller.enqueue({\n                  ...value,\n                  usage: {\n                    inputTokens: {\n                      total: promptTokens,\n                      noCache: promptTokens - cacheReadTokens,\n                      cacheRead: cacheReadTokens,\n                      cacheWrite: void 0\n                    },\n                    outputTokens: {\n                      total: completionTokens,\n                      text: completionTokens - reasoningTokens,\n                      reasoning: reasoningTokens\n                    },\n                    raw: fixedRawUsage\n                  }\n                });\n              } else {\n                controller.enqueue(value);\n              }\n            } else {\n              controller.enqueue(value);\n            }\n          }\n          controller.close();\n        } catch (error) {\n          controller.error(error);\n        }\n      }\n    });\n    return {\n      ...result,\n      stream: transformedStream\n    };\n  }\n};\n\n// src/version.ts\nvar VERSION = true ? \"2.0.41\" : \"0.0.0-test\";\n\n// src/deepinfra-provider.ts\nfunction createDeepInfra(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.deepinfra.com/v1\"\n  );\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"DEEPINFRA_API_KEY\",\n        description: \"DeepInfra's API key\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/deepinfra/${VERSION}`\n  );\n  const getCommonModelConfig = (modelType) => ({\n    provider: `deepinfra.${modelType}`,\n    url: ({ path }) => `${baseURL}/openai${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createChatModel = (modelId) => {\n    return new DeepInfraChatLanguageModel(\n      modelId,\n      getCommonModelConfig(\"chat\")\n    );\n  };\n  const createCompletionModel = (modelId) => new OpenAICompatibleCompletionLanguageModel(\n    modelId,\n    getCommonModelConfig(\"completion\")\n  );\n  const createEmbeddingModel = (modelId) => new OpenAICompatibleEmbeddingModel(\n    modelId,\n    getCommonModelConfig(\"embedding\")\n  );\n  const createImageModel = (modelId) => new DeepInfraImageModel(modelId, {\n    ...getCommonModelConfig(\"image\"),\n    baseURL: baseURL ? `${baseURL}/inference` : \"https://api.deepinfra.com/v1/inference\"\n  });\n  const provider = (modelId) => createChatModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.completionModel = createCompletionModel;\n  provider.chatModel = createChatModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.languageModel = createChatModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  return provider;\n}\nvar deepinfra = createDeepInfra();\nexport {\n  VERSION,\n  createDeepInfra,\n  deepinfra\n};\n//# sourceMappingURL=index.mjs.map"
+  ],
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+  "debugId": "D5D25AC5CA608FBB64756E2164756E21",
+  "names": []
+}

bin/chunk-2tms8863.js.map

+{
+  "version": 3,
+  "sources": ["src/mini.ts", "src/mini-host.ts"],
+  "sourcesContent": [
+    "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { setTimeout } from \"node:timers/promises\"\nimport { readStdin } from \"./util/io\"\nimport { createMiniHost, INTERACTIVE_INPUT_ERROR, usingInteractiveStdin } from \"./mini-host\"\nimport { parseSessionTargetModel, resolveSessionTarget, type SessionTargetPreparation } from \"./session-target\"\n\nexport type MiniCommandInput = {\n  server: {\n    endpoint: Endpoint\n    reconnect?: (signal: AbortSignal) => Promise<Endpoint>\n  }\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: string\n  agent?: string\n  prompt?: string\n  replay?: boolean\n  replayLimit?: number\n  demo?: boolean\n  tuiConfig?: MiniFrontendInput[\"tuiConfig\"]\n  config?: MiniFrontendInput[\"config\"]\n}\n\ntype Model = MiniFrontendInput[\"model\"]\n\nclass MiniInputError extends Error {}\n\nexport async function runMini(input: MiniCommandInput) {\n  try {\n    validate(input)\n    const result = await usingInteractiveStdin(async (terminal) => {\n      const initialInput = mergeInput(process.stdin.isTTY ? undefined : await readStdin(), input.prompt)\n      const frontendTask = import(\"@opencode-ai/tui/mini\")\n      const directory = localDirectory()\n      const connection = createMiniConnection(input.server)\n      const sdk = connection.sdk\n      const requested = parseModel(input.model)\n      const model = requested ? { providerID: requested.providerID, modelID: requested.id } : undefined\n      const prepare = prepareTarget(input.agent)\n      const resolveTarget = async (initial: OpenCodeClient, signal: AbortSignal) => {\n        const resolved = await resolveMiniTarget({\n          sdk: initial,\n          reconnect: connection.reconnect,\n          signal,\n          resolve: (client) =>\n            resolveSessionTarget({\n              client,\n              location: { directory },\n              continue: input.continue,\n              session: input.session,\n              fork: input.fork,\n              model: requested,\n              agent: input.agent,\n              prepare,\n              signal,\n            }).catch((error) => {\n              if (error instanceof Error && error.message === \"Session not found\")\n                throw new MiniInputError(error.message)\n              throw error\n            }),\n        })\n        const target = resolved.value\n        return {\n          sdk: resolved.sdk,\n          sessionID: target.session.id,\n          sessionTitle: target.session.title,\n          location: target.location,\n          model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n          variant: target.model?.variant,\n          agent: target.agent,\n          resume: target.resume,\n        }\n      }\n      const create = (\n        client: OpenCodeClient,\n        next: {\n          location: { directory: string; workspaceID?: string }\n          agent: string | undefined\n          model: Model\n          variant: string | undefined\n        },\n        signal?: AbortSignal,\n      ) =>\n        resolveSessionTarget({\n          client,\n          location: { directory: next.location.directory, workspace: next.location.workspaceID },\n          agent: next.agent,\n          model: next.model\n            ? { providerID: next.model.providerID, id: next.model.modelID, variant: next.variant }\n            : undefined,\n          prepare,\n          signal,\n        }).then((target) => ({\n          sessionID: target.session.id,\n          sessionTitle: target.session.title,\n          location: target.location,\n          model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n          variant: target.model?.variant,\n          agent: target.agent,\n          resume: false,\n        }))\n      const frontend = await frontendTask\n      return frontend.runMiniFrontend({\n        host: createMiniHost({ terminal, directory }),\n        sdk,\n        directory,\n        target: resolveTarget,\n        reconnect: connection.reconnect,\n        createSession: create,\n        agent: input.agent,\n        model,\n        variant: requested?.variant,\n        files: [],\n        initialInput,\n        replay: input.replay ?? true,\n        replayLimit: input.replayLimit,\n        demo: input.demo,\n        tuiConfig: input.tuiConfig,\n        config: input.config,\n      })\n    })\n    if (result.exitCode !== 0) process.exit(result.exitCode)\n  } catch (error) {\n    if (error instanceof MiniInputError || (error instanceof Error && error.message === INTERACTIVE_INPUT_ERROR))\n      fail(error.message)\n    throw error\n  }\n}\n\n/** @internal Exported for CLI boundary tests. */\nexport function createMiniConnection(input: MiniCommandInput[\"server\"]) {\n  const make = (endpoint: Endpoint) =>\n    OpenCode.make({\n      baseUrl: endpoint.url,\n      headers: Service.headers(endpoint),\n    })\n  const reconnect = input.reconnect\n  return {\n    sdk: make(input.endpoint),\n    reconnect: reconnect\n      ? async (signal: AbortSignal) => {\n          const endpoint = await reconnect(signal)\n          return make(endpoint)\n        }\n      : undefined,\n  }\n}\n\n/** @internal Exported for reconnect lifecycle tests. */\nexport async function resolveMiniTarget<A>(input: {\n  sdk: OpenCodeClient\n  reconnect?: (signal: AbortSignal) => Promise<OpenCodeClient>\n  signal: AbortSignal\n  resolve: (sdk: OpenCodeClient) => Promise<A>\n}) {\n  let sdk = input.sdk\n  while (true) {\n    try {\n      return { sdk, value: await input.resolve(sdk) }\n    } catch (error) {\n      if (!input.reconnect || !(error instanceof ClientError) || error.reason !== \"Transport\") throw error\n      while (true) {\n        try {\n          sdk = await input.reconnect(input.signal)\n          break\n        } catch (resolveError) {\n          if (input.signal.aborted) throw resolveError\n          await setTimeout(250, undefined, { signal: input.signal })\n        }\n      }\n    }\n  }\n}\n\nexport function validateMiniTerminal() {\n  if (!process.stdout.isTTY) fail(\"opencode mini requires a TTY stdout\")\n}\n\n/** @internal Exported for testing. */\nexport function mergeInput(piped: string | undefined, prompt: string | undefined) {\n  if (!prompt) return piped || undefined\n  if (!piped) return prompt\n  return piped + \"\\n\" + prompt\n}\n\nfunction validate(input: MiniCommandInput) {\n  validateMiniTerminal()\n  if (input.replayLimit !== undefined && (!Number.isInteger(input.replayLimit) || input.replayLimit <= 0)) {\n    fail(\"--replay-limit must be a positive integer\")\n  }\n  if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n}\n\nfunction localDirectory(): string {\n  const root = process.env.PWD ?? process.cwd()\n  try {\n    process.chdir(root)\n    return process.cwd()\n  } catch {\n    throw new MiniInputError(`Failed to change directory to ${root}`)\n  }\n}\n\nfunction parseModel(value?: string) {\n  try {\n    return parseSessionTargetModel(value)\n  } catch {\n    throw new MiniInputError(\"--model must use the format provider/model[#variant]\")\n  }\n}\n\nfunction prepareTarget(requestedAgent?: string): SessionTargetPreparation {\n  return async (input) => ({ model: input.model, agent: requestedAgent ?? input.agent })\n}\n\nfunction fail(message: string): never {\n  process.stderr.write(`\\x1b[91m\\x1b[1mError: \\x1b[0m${message}\\n`)\n  process.exit(1)\n}\n",
+    "import type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { createModelPreferenceRepository } from \"@opencode-ai/tui/model-preference\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport fs from \"node:fs\"\nimport { readFile } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { ReadStream } from \"node:tty\"\n\nexport const INTERACTIVE_INPUT_ERROR = \"opencode mini requires a controlling terminal for input\"\n\nexport type InteractiveStdin = {\n  stdin: NodeJS.ReadStream\n  cleanup(): void\n}\n\ntype MiniHost = MiniFrontendInput[\"host\"]\n\nfunction preferences(statePath: string): MiniHost[\"preferences\"] {\n  const repository = createModelPreferenceRepository(path.join(statePath, \"model.json\"))\n  return {\n    async resolveVariant(model) {\n      if (!model) return\n      return repository.resolveVariant(model)\n    },\n    async saveVariant(model, variant) {\n      if (!model) return\n      await repository.saveVariant(model, variant).catch(() => undefined)\n    },\n  }\n}\n\nfunction signal(name: \"SIGINT\" | \"SIGUSR2\"): MiniHost[\"signals\"][\"sigint\"] {\n  return {\n    subscribe(listener) {\n      let subscribed = true\n      process.on(name, listener)\n      return () => {\n        if (!subscribed) return\n        subscribed = false\n        process.off(name, listener)\n      }\n    },\n  }\n}\n\nfunction createTrace(\n  logPath: string,\n  diagnostics: { pid: number; cwd: string; argv: string[] },\n): MiniHost[\"diagnostics\"][\"trace\"] {\n  if (!process.env.OPENCODE_DIRECT_TRACE) return\n  const stamp = new Date()\n    .toISOString()\n    .replace(/[-:]/g, \"\")\n    .replace(/\\.\\d+Z$/, \"Z\")\n  const target = path.join(logPath, \"direct\", `${stamp}-${diagnostics.pid}.jsonl`)\n  const text = (data: unknown) =>\n    JSON.stringify(data, (_key, value) => (typeof value === \"bigint\" ? String(value) : value), 0)\n  fs.mkdirSync(path.dirname(target), { recursive: true })\n  fs.writeFileSync(\n    path.join(logPath, \"direct\", \"latest.json\"),\n    text({\n      time: new Date().toISOString(),\n      ...diagnostics,\n      path: target,\n    }) + \"\\n\",\n  )\n  const trace = {\n    write(type: string, data?: unknown) {\n      fs.appendFileSync(\n        target,\n        text({\n          time: new Date().toISOString(),\n          pid: diagnostics.pid,\n          type,\n          data,\n        }) + \"\\n\",\n      )\n    },\n  }\n  trace.write(\"trace.start\", {\n    argv: diagnostics.argv,\n    cwd: diagnostics.cwd,\n    path: target,\n  })\n  return trace\n}\n\nfunction openTerminalStdin(target: string): NodeJS.ReadStream {\n  return new ReadStream(fs.openSync(target, \"r\"))\n}\n\nexport function resolveInteractiveStdin(\n  stdin: NodeJS.ReadStream = process.stdin,\n  open: (target: string) => NodeJS.ReadStream = openTerminalStdin,\n  platform: NodeJS.Platform = process.platform,\n): InteractiveStdin {\n  if (stdin.isTTY) return { stdin, cleanup() {} }\n  const target = platform === \"win32\" ? \"CONIN$\" : \"/dev/tty\"\n  try {\n    const source = open(target)\n    let cleaned = false\n    return {\n      stdin: source,\n      cleanup() {\n        if (cleaned) return\n        cleaned = true\n        source.destroy()\n      },\n    }\n  } catch (error) {\n    throw new Error(INTERACTIVE_INPUT_ERROR, { cause: error })\n  }\n}\n\n/** @internal Exported for owner-local resource cleanup tests. */\nexport async function usingInteractiveStdin<T>(\n  run: (terminal: InteractiveStdin) => Promise<T>,\n  resolve: () => InteractiveStdin = resolveInteractiveStdin,\n) {\n  const terminal = resolve()\n  try {\n    return await run(terminal)\n  } finally {\n    terminal.cleanup()\n  }\n}\n\n/** @internal Exported for owner-local host capability tests. */\nexport function createMiniHost(input: {\n  terminal: InteractiveStdin\n  directory: string\n  paths?: { home: string; state: string; log: string }\n}): MiniHost {\n  const paths = input.paths ?? {\n    home: Global.Path.home,\n    state: Global.Path.state,\n    log: Global.Path.log,\n  }\n  const diagnostics = {\n    pid: process.pid,\n    cwd: input.directory,\n    argv: process.argv.slice(2),\n  }\n  return {\n    terminal: { stdin: input.terminal.stdin },\n    platform: process.platform,\n    stdout: {\n      write(value) {\n        process.stdout.write(value)\n      },\n    },\n    files: {\n      readText: (url) => readFile(new URL(url), \"utf8\"),\n    },\n    editor: {\n      async open(options) {\n        const { openEditor } = await import(\"@opencode-ai/tui/editor\")\n        return openEditor(options)\n      },\n    },\n    paths: { home: paths.home },\n    signals: {\n      sigint: signal(\"SIGINT\"),\n      sigusr2: signal(\"SIGUSR2\"),\n    },\n    startup: {\n      showTiming: [\"1\", \"true\"].includes(process.env.OPENCODE_SHOW_TTFD?.toLowerCase() ?? \"\"),\n      now: () => performance.now(),\n    },\n    diagnostics: {\n      trace: createTrace(paths.log, diagnostics),\n    },\n    preferences: preferences(paths.state),\n  }\n}\n"
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bin/chunk-4cfq101t.js.map

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+    "import { Effect, Encoding } from \"effect\"\nimport type { ImageInput } from \"../../image\"\nimport { InvalidRequestReason, AIError } from \"../../schema\"\n\nconst invalid = (module: string, message: string) =>\n  new AIError({\n    module,\n    method: \"generate\",\n    reason: new InvalidRequestReason({ message }),\n  })\n\nexport const dataUrl = (input: Extract<ImageInput, { readonly type: \"bytes\" }>) =>\n  `data:${input.mediaType};base64,${Encoding.encodeBase64(input.data)}`\n\nexport const decodeDataUrl = (\n  url: string,\n  module: string,\n): Effect.Effect<{ readonly mediaType: string; readonly data: Uint8Array } | undefined, AIError> => {\n  if (!url.startsWith(\"data:\")) return Effect.succeed(undefined)\n  const match = /^data:([^;,]+);base64,(.*)$/s.exec(url)\n  if (!match) return Effect.fail(invalid(module, \"Image data URLs must contain a MIME type and base64 data\"))\n  return Effect.fromResult(Encoding.decodeBase64(match[2])).pipe(\n    Effect.mapError(() => invalid(module, \"Image data URL contains invalid base64 data\")),\n    Effect.map((data) => ({ mediaType: match[1], data })),\n  )\n}\n\nexport const invalidImageInput = invalid\n\nexport const ImageInputs = {\n  dataUrl,\n  decodeDataUrl,\n  invalid: invalidImageInput,\n} as const\n"
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bin/chunk-4fxf0eqh.js.map

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+    "// Pure state machine for the prompt input.\n//\n// Handles history ring navigation and prompt text helpers. All functions are\n// pure -- they take state in and return new state out, with no side effects.\n//\n// The history ring (PromptHistoryState) stores past prompts and tracks\n// the current browse position. When the user arrows up at cursor offset 0,\n// the current draft is saved and history begins. Arrowing past the end\n// restores the draft.\nexport { displayCharAt, displaySlice, mentionTriggerIndex } from \"../prompt/display\"\nimport { stringWidth } from \"../util/string-width\"\nimport type { RunPrompt } from \"./types\"\n\nconst HISTORY_LIMIT = 200\n\nexport type PromptHistoryState = {\n  items: RunPrompt[]\n  index: number | null\n  draft: string\n}\n\nexport type PromptMove = {\n  state: PromptHistoryState\n  text?: string\n  cursor?: number\n  apply: boolean\n}\n\nexport function promptCopy(prompt: RunPrompt): RunPrompt {\n  return {\n    text: prompt.text,\n    parts: structuredClone(prompt.parts),\n    ...(prompt.mode ? { mode: prompt.mode } : {}),\n    ...(prompt.command ? { command: prompt.command } : {}),\n  }\n}\n\nexport function promptSame(a: RunPrompt, b: RunPrompt): boolean {\n  return (\n    a.mode === b.mode &&\n    a.text === b.text &&\n    JSON.stringify(a.parts) === JSON.stringify(b.parts) &&\n    JSON.stringify(a.command) === JSON.stringify(b.command)\n  )\n}\n\nexport function isExitCommand(input: string): boolean {\n  const text = input.trim().toLowerCase()\n  return text === \"/exit\" || text === \"/quit\" || text === \":q\"\n}\n\nexport function isNewCommand(input: string): boolean {\n  return input.trim().toLowerCase() === \"/new\"\n}\n\nexport function isCompactCommand(input: string): boolean {\n  const text = input.trim().toLowerCase()\n  return text === \"/compact\" || text === \"/summarize\"\n}\n\nexport function createPromptHistory(items?: RunPrompt[]): PromptHistoryState {\n  const list = (items ?? []).filter((item) => item.text.trim().length > 0).map(promptCopy)\n  const next: RunPrompt[] = []\n  for (const item of list) {\n    if (next.length > 0 && promptSame(next[next.length - 1], item)) {\n      continue\n    }\n\n    next.push(item)\n  }\n\n  return {\n    items: next.slice(-HISTORY_LIMIT),\n    index: null,\n    draft: \"\",\n  }\n}\n\nexport function pushPromptHistory(state: PromptHistoryState, prompt: RunPrompt): PromptHistoryState {\n  if (!prompt.text.trim()) {\n    return state\n  }\n\n  const next = promptCopy(prompt)\n  if (state.items[state.items.length - 1] && promptSame(state.items[state.items.length - 1], next)) {\n    return {\n      ...state,\n      index: null,\n      draft: \"\",\n    }\n  }\n\n  const items = [...state.items, next].slice(-HISTORY_LIMIT)\n  return {\n    ...state,\n    items,\n    index: null,\n    draft: \"\",\n  }\n}\n\nexport function movePromptHistory(state: PromptHistoryState, dir: -1 | 1, text: string, cursor: number): PromptMove {\n  if (state.items.length === 0) {\n    return { state, apply: false }\n  }\n\n  if (dir === -1 && cursor !== 0) {\n    return { state, apply: false }\n  }\n\n  if (dir === 1 && cursor !== stringWidth(text)) {\n    return { state, apply: false }\n  }\n\n  if (state.index === null) {\n    if (dir === 1) {\n      return { state, apply: false }\n    }\n\n    const idx = state.items.length - 1\n    return {\n      state: {\n        ...state,\n        index: idx,\n        draft: text,\n      },\n      text: state.items[idx].text,\n      cursor: 0,\n      apply: true,\n    }\n  }\n\n  const idx = state.index + dir\n  if (idx < 0) {\n    return { state, apply: false }\n  }\n\n  if (idx >= state.items.length) {\n    return {\n      state: {\n        ...state,\n        index: null,\n      },\n      text: state.draft,\n      cursor: stringWidth(state.draft),\n      apply: true,\n    }\n  }\n\n  return {\n    state: {\n      ...state,\n      index: idx,\n    },\n    text: state.items[idx].text,\n    cursor: dir === -1 ? 0 : stringWidth(state.items[idx].text),\n    apply: true,\n  }\n}\n"
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bin/chunk-4rsx94mj.js.map

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+  "sources": ["src/commands/handlers/mcp/resolve.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport type { OpenCodeClient } from \"@opencode-ai/client\"\n\n// Resolve through the MCP-owned integrationID rather than matching integration names: the shared\n// integration registry also holds provider/plugin integrations, whose names could collide with a server.\n// Fails when the server is unknown; returns undefined when the server has no integration (e.g. a local\n// or anonymous server), leaving that case for the caller to interpret.\nexport const resolveIntegration = (client: OpenCodeClient, name: string, location: { directory: string }) =>\n  Effect.gen(function* () {\n    const servers = yield* Effect.promise(() => client.mcp.list({ location }))\n    const server = servers.data.find((entry) => entry.name === name)\n    if (!server) return yield* Effect.fail(new Error(`MCP server not found: ${name}`))\n    const integrationID = server.integrationID\n    if (!integrationID) return undefined\n    return yield* Effect.promise(() => client.integration.get({ integrationID, location })).pipe(\n      Effect.map((result) => result.data ?? undefined),\n    )\n  })\n"
+  ],
+  "mappings": ";oDAOO,IAAM,EAAqB,CAAC,EAAwB,EAAc,IACvE,EAAO,IAAI,SAAU,EAAG,CAEtB,IAAM,GADU,MAAO,EAAO,QAAQ,IAAM,EAAO,IAAI,KAAK,CAAE,UAAS,CAAC,CAAC,GAClD,KAAK,KAAK,CAAC,IAAU,EAAM,OAAS,CAAI,EAC/D,GAAI,CAAC,EAAQ,OAAO,MAAO,EAAO,KAAS,MAAM,yBAAyB,GAAM,CAAC,EACjF,IAAM,EAAgB,EAAO,cAC7B,GAAI,CAAC,EAAe,OACpB,OAAO,MAAO,EAAO,QAAQ,IAAM,EAAO,YAAY,IAAI,CAAE,gBAAe,UAAS,CAAC,CAAC,EAAE,KACtF,EAAO,IAAI,CAAC,IAAW,EAAO,MAAQ,MAAS,CACjD,EACD",
+  "debugId": "4C861A415406FE5264756E2164756E21",
+  "names": []
+}

bin/chunk-4wa2vjn2.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/set.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.set,\n  Effect.fn(\"cli.service.set\")(function* (input) {\n    yield* ServiceConfig.set(input.key, input.value)\n  }),\n)\n"
+  ],
+  "mappings": ";k0BAKA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,SACnC,OAAO,QAAG,sBAAiB,OAAE,cAAU,MAAC,OAAO,MAC7C,WAAO,OAAc,SAAI,OAAM,SAAK,OAAM,KAAK,EAChD,CACH",
+  "debugId": "EEB42227360BEA1964756E2164756E21",
+  "names": []
+}

bin/chunk-56vqbkvt.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/logo.ts"],
+  "sourcesContent": [
+    "export const logo = {\n  left: [\"                   \", \"█▀▀█ █▀▀█ █▀▀█ █▀▀▄\", \"█__█ █__█ █^^^ █__█\", \"▀▀▀▀ █▀▀▀ ▀▀▀▀ ▀~~▀\"],\n  right: [\"             ▄     \", \"█▀▀▀ █▀▀█ █▀▀█ █▀▀█\", \"█___ █__█ █__█ █^^^\", \"▀▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀▀▀▀\"],\n}\n\nexport const go = {\n  left: [\"    \", \"█▀▀▀\", \"█_^█\", \"▀▀▀▀\"],\n  right: [\"    \", \"█▀▀█\", \"█__█\", \"▀▀▀▀\"],\n}\n"
+  ],
+  "mappings": ";AAAO,IAAM,EAAO,CAClB,KAAM,CAAC,sBAAuB,sGAAsB,yDAAuB,2FAAqB,EAChG,MAAO,CAAC,2BAAsB,sGAAuB,oDAAuB,qGAAqB,CACnG,EAEa,EAAK,CAChB,KAAM,CAAC,OAAQ,2BAAO,iBAAQ,0BAAM,EACpC,MAAO,CAAC,OAAQ,2BAAO,iBAAQ,0BAAM,CACvC",
+  "debugId": "F9FECD62C57EF38664756E2164756E21",
+  "names": []
+}

bin/chunk-6ep5g70s.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/run.ts"],
+  "sourcesContent": [
+    "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(Commands.commands.run, (input) =>\n  Effect.gen(function* () {\n    const { runNonInteractive } = yield* Effect.promise(() => import(\"../../run/run\"))\n    const separator = process.argv.indexOf(\"--\", 2)\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    })\n    yield* Effect.promise(() =>\n      runNonInteractive({\n        server,\n        message: [...input.message, ...(separator === -1 ? [] : process.argv.slice(separator + 1))],\n        continue: input.continue,\n        session: Option.getOrUndefined(input.session),\n        fork: input.fork,\n        model: Option.getOrUndefined(input.model),\n        agent: Option.getOrUndefined(input.agent),\n        format: input.format,\n        file: [...input.file],\n        title: Option.getOrUndefined(input.title),\n        thinking: input.thinking,\n        auto: input.auto || input.yolo || input.dangerouslySkipPermissions,\n      }),\n    )\n  }),\n)\n"
+  ],
+  "mappings": ";+9BAKA,SAAe,SAAQ,aAAQ,OAAS,cAAS,SAAK,MAAC,SACrD,OAAO,SAAI,cAAU,OAAG,MACtB,SAAQ,0BAAsB,WAAO,OAAO,aAAQ,SAAa,wCAAgB,OAC3E,OAAY,aAAQ,UAAK,aAAQ,UAAM,MAAC,EACxC,EAAS,MAAO,EAAiB,QAAQ,CAC7C,OAAQ,EAAO,eAAe,EAAM,MAAM,EAC1C,WAAY,EAAM,UACpB,CAAC,EACD,MAAO,EAAO,QAAQ,IACpB,EAAkB,CAChB,SACA,QAAS,CAAC,GAAG,EAAM,QAAS,GAAI,IAAc,GAAK,CAAC,EAAI,QAAQ,KAAK,MAAM,EAAY,CAAC,CAAE,EAC1F,SAAU,EAAM,SAChB,QAAS,EAAO,eAAe,EAAM,OAAO,EAC5C,KAAM,EAAM,KACZ,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,OAAQ,EAAM,OACd,KAAM,CAAC,GAAG,EAAM,IAAI,EACpB,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,SAAU,EAAM,SAChB,KAAM,EAAM,MAAQ,EAAM,MAAQ,EAAM,0BAC1C,CAAC,CACH,EACD,CACH",
+  "debugId": "E82495525A356EED64756E2164756E21",
+  "names": []
+}

bin/chunk-6mec1np0.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
+  ],
+  "mappings": "",
+  "debugId": "38CE5DDC447A5BD264756E2164756E21",
+  "names": []
+}

bin/chunk-6vx9g0we.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/auth/connect.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type IntegrationCommandStatusOutput, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.connect,\n  Effect.fn(\"cli.auth.connect\")(function* (input) {\n    process.stdout.write(\"Connecting...\" + EOL + EOL)\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    yield* request(() => client.integration.wellknown.add({ url: input.url, location }))\n    const integrationID = input.url.replace(/\\/+$/, \"\")\n    const started = yield* request(() =>\n      client.integration.command.connect({ integrationID, methodID: \"login\", location }),\n    )\n    yield* Effect.addFinalizer(() =>\n      request(() =>\n        client.integration.command.cancel({ integrationID, attemptID: started.data.attemptID, location }),\n      ).pipe(Effect.ignore),\n    )\n\n    const status = yield* wait(client, integrationID, started.data.attemptID)\n    if (status.status === \"failed\") return yield* Effect.fail(new Error(status.message))\n    if (status.status === \"expired\") return yield* Effect.fail(new Error(\"Authentication expired\"))\n    process.stdout.write(\"Connected\" + EOL)\n  }),\n)\n\nconst wait = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n  shown = false,\n): Effect.Effect<Exclude<IntegrationCommandStatusOutput[\"data\"], { status: \"pending\" }>, unknown> =>\n  Effect.gen(function* () {\n    const response = yield* request(() => client.integration.command.status({ integrationID, attemptID, location }))\n    if (response.data.status !== \"pending\") return response.data\n    const output = response.data.message?.trim()\n    if (!shown && output) process.stdout.write(output + EOL + EOL)\n    yield* Effect.sleep(500)\n    return yield* wait(client, integrationID, attemptID, shown || !!output)\n  })\n\nfunction request<A>(task: () => Promise<A>) {\n  return Effect.tryPromise({ try: task, catch: (cause) => cause })\n}\n"
+  ],
+  "mappings": ";83BAAA,mBAAS,gBAQT,SAAM,OAAW,MAAE,eAAW,aAAQ,SAAI,MAAE,OAE7B,SAAQ,aACrB,OAAS,cAAS,UAAK,cAAS,aAChC,OAAO,QAAG,uBAAkB,OAAE,cAAU,MAAC,EAAO,CAC9C,QAAQ,OAAO,MAAM,gBAAkB,EAAM,CAAG,EAChD,IAAM,EAAW,MAAO,EAAQ,OAAO,MAAO,EAAc,QAAQ,CAAC,EAC/D,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAC1F,MAAO,EAAQ,IAAM,EAAO,YAAY,UAAU,IAAI,CAAE,IAAK,EAAM,IAAK,UAAS,CAAC,CAAC,EACnF,IAAM,EAAgB,EAAM,IAAI,QAAQ,OAAQ,EAAE,EAC5C,EAAU,MAAO,EAAQ,IAC7B,EAAO,YAAY,QAAQ,QAAQ,CAAE,gBAAe,SAAU,QAAS,UAAS,CAAC,CACnF,EACA,MAAO,EAAO,aAAa,IACzB,EAAQ,IACN,EAAO,YAAY,QAAQ,OAAO,CAAE,gBAAe,UAAW,EAAQ,KAAK,UAAW,UAAS,CAAC,CAClG,EAAE,KAAK,EAAO,MAAM,CACtB,EAEA,IAAM,EAAS,MAAO,EAAK,EAAQ,EAAe,EAAQ,KAAK,SAAS,EACxE,GAAI,EAAO,SAAW,SAAU,OAAO,MAAO,EAAO,KAAS,MAAM,EAAO,OAAO,CAAC,EACnF,GAAI,EAAO,SAAW,UAAW,OAAO,MAAO,EAAO,KAAS,MAAM,wBAAwB,CAAC,EAC9F,QAAQ,OAAO,MAAM,YAAc,CAAG,EACvC,CACH,EAEM,EAAO,CACX,EACA,EACA,EACA,EAAQ,KAER,EAAO,IAAI,SAAU,EAAG,CACtB,IAAM,EAAW,MAAO,EAAQ,IAAM,EAAO,YAAY,QAAQ,OAAO,CAAE,gBAAe,YAAW,UAAS,CAAC,CAAC,EAC/G,GAAI,EAAS,KAAK,SAAW,UAAW,OAAO,EAAS,KACxD,IAAM,EAAS,EAAS,KAAK,SAAS,KAAK,EAC3C,GAAI,CAAC,GAAS,EAAQ,QAAQ,OAAO,MAAM,EAAS,EAAM,CAAG,EAE7D,OADA,MAAO,EAAO,MAAM,GAAG,EAChB,MAAO,EAAK,EAAQ,EAAe,EAAW,GAAS,CAAC,CAAC,CAAM,EACvE,EAEH,SAAS,CAAU,CAAC,EAAwB,CAC1C,OAAO,EAAO,WAAW,CAAE,IAAK,EAAM,MAAO,CAAC,IAAU,CAAM,CAAC",
+  "debugId": "769047624CB0754164756E2164756E21",
+  "names": []
+}

bin/chunk-717j4zkh.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/openai-compatible-chat.ts"],
+  "sourcesContent": [
+    "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport * as OpenAIChat from \"./openai-chat\"\n\nconst ADAPTER = \"openai-compatible-chat\"\n\nexport type OpenAICompatibleChatLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Route for non-OpenAI providers that expose an OpenAI Chat-compatible\n * `/chat/completions` endpoint. Reuses `OpenAIChat.protocol` end-to-end and\n * overrides only the route id so providers can be resolved per-family without\n * colliding with native OpenAI. Provider helpers configure the route endpoint\n * before model selection.\n */\nexport const route = Route.make({\n  id: ADAPTER,\n  providerMetadataKey: \"openai\",\n  protocol: OpenAIChat.protocol,\n  endpoint: Endpoint.path(\"/chat/completions\"),\n  framing: Framing.sse,\n})\n\nexport * as OpenAICompatibleChat from \"./openai-compatible-chat\"\n"
+  ],
+  "mappings": ";mHAKA,SAAM,EAAU,yBAWH,EAAQ,EAAM,KAAK,CAC9B,GAAI,EACJ,oBAAqB,SACrB,SAAqB,EACrB,SAAU,EAAS,KAAK,mBAAmB,EAC3C,QAAS,EAAQ,GACnB,CAAC",
+  "debugId": "4FE623DA6C173E7D64756E2164756E21",
+  "names": []
+}

bin/chunk-81g4a7kj.js.map

+{
+  "version": 3,
+  "sources": ["src/server-process.ts", "src/commands/handlers/serve.ts"],
+  "sourcesContent": [
+    "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions, type Info } from \"@opencode-ai/client/effect/service\"\nimport { LayerNode } from \"@opencode-ai/util/effect/layer-node\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"./version\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { randomBytes, randomUUID } from \"node:crypto\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Logger, Option, Redacted, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { Updater } from \"./services/updater\"\n\nexport type Mode = \"default\" | \"service\" | \"stdio\"\n\nexport type Options = {\n  readonly mode: Mode\n  readonly hostname?: string\n  readonly port?: number\n}\n\n// The process effect lives until server shutdown; tracing it would parent every request to one process-lifetime trace.\nexport const run = Effect.fnUntraced(function* (options: Options) {\n  return yield* processEffect(options).pipe(\n    Effect.provide(Updater.layer),\n    Effect.provide(\n      LayerNode.compile(LayerNode.group([Global.node, AppProcess.node]), [\n        [\n          Global.node,\n          Global.layerWith(process.env.OPENCODE_CONFIG_DIR ? { config: process.env.OPENCODE_CONFIG_DIR } : {}),\n        ],\n      ]),\n    ),\n    Effect.provide(NodeServices.layer),\n  )\n})\n\nconst processEffect = Effect.fnUntraced(function* (options: Options) {\n  if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(Global.Path.home))\n  return yield* Effect.scoped(\n    Effect.gen(function* () {\n      const serviceOptions = options.mode === \"service\" ? yield* ServiceConfig.options() : undefined\n      const config = options.mode === \"service\" ? yield* ServiceConfig.read() : {}\n      const hostname = options.hostname ?? config.hostname ?? \"127.0.0.1\"\n      const port = options.port ?? config.port ?? (options.mode === \"service\" ? ServiceConfig.defaultPort() : undefined)\n      if (\n        serviceOptions !== undefined &&\n        port !== undefined &&\n        (yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })) !== undefined\n      )\n        return\n      const { start } = yield* Effect.promise(() => import(\"@opencode-ai/server/process\"))\n      const environmentPassword = yield* Env.password\n      // Keep the lease credential out of the environment inherited by tools.\n      if (options.mode === \"stdio\") {\n        delete process.env.OPENCODE_PASSWORD\n        delete process.env.OPENCODE_SERVER_PASSWORD\n      }\n      const password =\n        options.mode === \"service\"\n          ? config.password || randomBytes(32).toString(\"base64url\")\n          : environmentPassword\n            ? Redacted.value(environmentPassword)\n            : randomBytes(32).toString(\"base64url\")\n      if (!password) return yield* Effect.fail(new Error(\"Missing server password\"))\n      const instanceID = randomUUID()\n      const server = yield* start(\n        {\n          app: {\n            name: process.env.OPENCODE_CLIENT ?? \"cli\",\n            version: OPENCODE_VERSION,\n            channel: OPENCODE_CHANNEL,\n          },\n          hostname,\n          port,\n          password,\n          simulation: truthy(process.env.OPENCODE_SIMULATE),\n          database: {\n            path:\n              process.env.OPENCODE_DB ??\n              ([\"latest\", \"beta\", \"prod\"].includes(OPENCODE_CHANNEL) ||\n              process.env.OPENCODE_DISABLE_CHANNEL_DB === \"1\" ||\n              process.env.OPENCODE_DISABLE_CHANNEL_DB === \"true\"\n                ? \"opencode.db\"\n                : `opencode-${OPENCODE_CHANNEL.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.db`),\n          },\n          models: {\n            url: process.env.OPENCODE_MODELS_URL,\n            file: process.env.OPENCODE_MODELS_PATH,\n            fetch: !truthy(process.env.OPENCODE_DISABLE_MODELS_FETCH),\n          },\n          observability: {\n            endpoint: process.env.OTEL_EXPORTER_OTLP_ENDPOINT,\n            headers: process.env.OTEL_EXPORTER_OTLP_HEADERS,\n          },\n          config: {\n            directory: process.env.OPENCODE_CONFIG_DIR,\n            project: !truthy(\n              process.env.OPENCODE_CONFIG_PROJECT_DISABLE ?? process.env.OPENCODE_DISABLE_PROJECT_CONFIG,\n            ),\n            file: process.env.OPENCODE_CONFIG,\n            content: process.env.OPENCODE_CONFIG_CONTENT,\n          },\n          windows: {\n            gitbash: process.env.OPENCODE_GIT_BASH_PATH,\n          },\n          fs: {\n            filewatcher: !truthy(\n              process.env.OPENCODE_FILEWATCHER_DISABLE ?? process.env.OPENCODE_DISABLE_FILEWATCHER,\n            ),\n            fff:\n              process.env.OPENCODE_DISABLE_FFF === undefined\n                ? process.platform !== \"win32\"\n                : !truthy(process.env.OPENCODE_DISABLE_FFF),\n          },\n        },\n        serviceOptions === undefined\n          ? undefined\n          : {\n              instanceID,\n              onListen: (address, shutdown) =>\n                Effect.gen(function* () {\n                  if (!config.password) yield* ServiceConfig.password(password)\n                  return yield* register(address, password, instanceID, serviceOptions.file, shutdown)\n                }),\n            },\n      ).pipe(\n        Effect.provide(Logger.layer([], { mergeWithExisting: false })),\n        Effect.catch((error) => {\n          if (serviceOptions === undefined || port === undefined || !addressInUse(error)) return Effect.fail(error)\n          return recognizeIncumbent(serviceOptions, hostname, port).pipe(\n            Effect.flatMap((found) =>\n              found\n                ? Effect.void\n                : Effect.fail(\n                    new Error(\n                      `Managed service port ${port} on ${hostname} is already in use by another process. ` +\n                        \"Configure another port with `opencode service set port <port>` and start the service again.\",\n                      { cause: error },\n                    ),\n                  ),\n            ),\n          )\n        }),\n      )\n      if (server === undefined) return\n      const url = HttpServer.formatAddress(server.address)\n      console.log(options.mode === \"stdio\" ? JSON.stringify({ url }) : `server listening on ${url}`)\n      if (options.mode === \"default\" && !environmentPassword) console.log(`server password ${password}`)\n      const updater = yield* Updater.Service\n      yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n      return yield* options.mode === \"service\"\n        ? server.shutdown\n        : options.mode === \"stdio\"\n          ? waitForStdinClose()\n          : Effect.never\n    }).pipe(Effect.annotateLogs({ role: \"server\" })),\n  )\n})\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nconst register = Effect.fnUntraced(function* (\n  address: HttpServer.Address,\n  password: string,\n  id: string,\n  file: string,\n  shutdown: Effect.Effect<void>,\n) {\n  const fs = yield* FileSystem.FileSystem\n  const temp = file + \".\" + id + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(file), { recursive: true })\n  const info = {\n    id,\n    version: OPENCODE_VERSION,\n    url: HttpServer.formatAddress(address),\n    pid: process.pid,\n    password,\n  }\n  const encoded = yield* encodeInfo(info)\n  const current = fs.readFileString(file).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.orElseSucceed(() => undefined),\n  )\n  const owns = (found: Info | undefined) =>\n    found?.id === info.id &&\n    found.version === info.version &&\n    found.url === info.url &&\n    found.pid === info.pid &&\n    found.password === info.password\n  yield* fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, file)))\n  yield* current.pipe(\n    Effect.filterOrFail(owns),\n    Effect.repeat(Schedule.spaced(\"5 seconds\")),\n    Effect.ignore,\n    Effect.andThen(shutdown),\n    Effect.forkScoped,\n  )\n  return current.pipe(\n    Effect.flatMap((found) => (owns(found) ? fs.remove(file) : Effect.void)),\n    Effect.ignore,\n  )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n  const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n    Effect.filterOrFail((value) => value !== undefined),\n    Effect.retry(Schedule.spaced(\"100 millis\")),\n    Effect.timeoutOption(\"15 seconds\"),\n  )\n  return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n  return `http://${hostname.includes(\":\") ? `[${hostname}]` : hostname}:${port}`\n}\n\nfunction truthy(value?: string) {\n  return value === \"1\" || value?.toLowerCase() === \"true\"\n}\n\nfunction addressInUse(error: unknown): boolean {\n  if (typeof error !== \"object\" || error === null) return false\n  if (\"code\" in error && error.code === \"EADDRINUSE\") return true\n  return \"cause\" in error && addressInUse(error.cause)\n}\n\nfunction waitForStdinClose() {\n  return Effect.callback<void>((resume) => {\n    const close = () => resume(Effect.void)\n    process.stdin.once(\"end\", close)\n    process.stdin.once(\"close\", close)\n    process.stdin.resume()\n    if (process.stdin.readableEnded || process.stdin.destroyed) close()\n    return Effect.sync(() => {\n      process.stdin.off(\"end\", close)\n      process.stdin.off(\"close\", close)\n      process.stdin.pause()\n    })\n  })\n}\n",
+    "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n  Commands.commands.serve,\n  Effect.fnUntraced(function* (input) {\n    if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n    return yield* ServerProcess.run({\n      mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n      hostname: Option.getOrUndefined(input.hostname),\n      port: Option.getOrUndefined(input.port),\n    })\n  }),\n)\n"
+  ],
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+  "debugId": "7ECE1B7370817BF964756E2164756E21",
+  "names": []
+}

bin/chunk-894be2gx.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/editor.ts", "../tui/src/editor-zed-sqlite.bun.ts", "../tui/src/editor-zed.ts"],
+  "sourcesContent": [
+    "import type { CliRenderer } from \"@opentui/core\"\nimport { existsSync, readdirSync, readFileSync, statSync } from \"node:fs\"\nimport { readFile, rm, writeFile } from \"node:fs/promises\"\nimport os from \"node:os\"\nimport path from \"node:path\"\nimport { spawn } from \"node:child_process\"\nimport type { Stream } from \"node:stream\"\nimport { resolveZedDbPath, resolveZedSelection } from \"./editor-zed\"\n\nexport { normalizePromptContent } from \"./prompt/content\"\n\ntype EditorStdio = \"inherit\" | \"pipe\" | \"ignore\" | number | Stream\n\nexport async function openEditor(input: { value: string; renderer: CliRenderer; cwd?: string; stdin?: EditorStdio }) {\n  const editor = process.env.VISUAL || process.env.EDITOR\n  if (!editor) return\n  const file = path.join(os.tmpdir(), `${Date.now()}.md`)\n  await writeFile(file, input.value)\n  input.renderer.suspend()\n  input.renderer.currentRenderBuffer.clear()\n  try {\n    await new Promise<void>((resolve, reject) => {\n      const parts = editor.split(\" \")\n      const child = spawn(parts[0]!, [...parts.slice(1), file], {\n        cwd: input.cwd && existsSync(input.cwd) ? input.cwd : process.cwd(),\n        stdio: [input.stdin ?? \"inherit\", \"inherit\", \"inherit\"],\n        shell: process.platform === \"win32\",\n      })\n      child.on(\"error\", reject)\n      child.on(\"exit\", (code, signal) => {\n        if (code === 0) return resolve()\n        reject(new Error(`Editor exited with ${signal ? `signal ${signal}` : `code ${code}`}`))\n      })\n    })\n    return (await readFile(file, \"utf8\")) || undefined\n  } finally {\n    await rm(file, { force: true }).catch(() => {})\n    input.renderer.currentRenderBuffer.clear()\n    input.renderer.resume()\n    input.renderer.requestRender()\n  }\n}\n\nexport function discoverEditorConnection(directory: string) {\n  const root = path.join(os.homedir(), \".claude\", \"ide\")\n  const contains = (parent: string) => {\n    const resolved = path.resolve(parent)\n    const relative = path.relative(resolved, path.resolve(directory))\n    return relative === \"\" || (!relative.startsWith(\"..\") && !path.isAbsolute(relative)) ? resolved.length : 0\n  }\n  try {\n    return readdirSync(root)\n      .filter((entry) => entry.endsWith(\".lock\"))\n      .flatMap((entry) => {\n        const file = path.join(root, entry)\n        const port = Number.parseInt(path.basename(file, \".lock\"), 10)\n        if (!Number.isInteger(port) || port <= 0 || port > 65535) return []\n        try {\n          const value = JSON.parse(readFileSync(file, \"utf8\")) as Record<string, unknown>\n          if (value.transport !== undefined && value.transport !== \"ws\") return []\n          const folders = Array.isArray(value.workspaceFolders)\n            ? value.workspaceFolders.filter((item): item is string => typeof item === \"string\")\n            : []\n          const score = Math.max(0, ...folders.map(contains))\n          if (!score) return []\n          return [\n            {\n              url: `ws://127.0.0.1:${port}`,\n              authToken: typeof value.authToken === \"string\" ? value.authToken : undefined,\n              source: `lock:${port}`,\n              score,\n              mtime: statSync(file).mtimeMs,\n            },\n          ]\n        } catch {\n          return []\n        }\n      })\n      .sort((left, right) => right.score - left.score || right.mtime - left.mtime)\n      .map(({ url, authToken, source }) => ({ url, authToken, source }))[0]\n  } catch {\n    return undefined\n  }\n}\n\nexport const editorIntegration = {\n  connection: discoverEditorConnection,\n  selection: (directory: string) => resolveZedSelection(resolveZedDbPath() ?? \"\", directory),\n}\n",
+    "export { Database } from \"bun:sqlite\"\n",
+    "import { Database } from \"#zed-sqlite\"\nimport { statSync } from \"node:fs\"\nimport { readFile as readFileAsync } from \"node:fs/promises\"\nimport os from \"node:os\"\nimport path from \"node:path\"\nimport { Option, Schema } from \"effect\"\nimport type { EditorSelection } from \"./context/editor\"\n\nconst ZedEditorRowSchema = Schema.Struct({\n  item_kind: Schema.String,\n  editor_id: Schema.NullOr(Schema.Number),\n  workspace_id: Schema.Number,\n  workspace_paths: Schema.NullOr(Schema.String),\n  timestamp: Schema.String,\n  buffer_path: Schema.NullOr(Schema.String),\n})\n\nconst ZedSelectionRowSchema = Schema.Struct({\n  selection_start: Schema.NullOr(Schema.Number),\n  selection_end: Schema.NullOr(Schema.Number),\n})\n\nconst ZedEditorContentsSchema = Schema.Struct({\n  contents: Schema.NullOr(Schema.String),\n})\n\nconst decodeZedEditorRow = Schema.decodeUnknownOption(ZedEditorRowSchema)\nconst decodeZedSelectionRow = Schema.decodeUnknownOption(ZedSelectionRowSchema)\nconst decodeZedEditorContents = Schema.decodeUnknownOption(ZedEditorContentsSchema)\n\nconst utf8 = new TextEncoder()\n\ntype ZedEditorRow = Schema.Schema.Type<typeof ZedEditorRowSchema>\ntype ZedActiveEditorRow = ZedEditorRow & { item_kind: \"Editor\"; editor_id: number }\n\nexport type ZedSelectionResult =\n  | { type: \"selection\"; selection: EditorSelection }\n  | { type: \"empty\" }\n  | { type: \"unavailable\" }\n\nexport async function resolveZedSelection(dbPath: string, cwd = process.cwd()): Promise<ZedSelectionResult> {\n  const active = queryZedActiveEditor(dbPath, cwd)\n  if (active.type !== \"row\") return active\n\n  const row = active.row\n  if (!row.buffer_path) return { type: \"empty\" }\n\n  const selections = queryZedEditorSelections(dbPath, row)\n  if (selections.type !== \"selections\") return selections\n  const byteRanges = selections.selections\n    .flatMap((selection) => {\n      if (selection.selection_start == null || selection.selection_end == null) return []\n      return [\n        {\n          start: Math.min(selection.selection_start, selection.selection_end),\n          end: Math.max(selection.selection_start, selection.selection_end),\n        },\n      ]\n    })\n    .sort((left, right) => left.start - right.start || left.end - right.end)\n  if (byteRanges.length === 0) return { type: \"unavailable\" }\n\n  const contents = queryZedEditorContents(dbPath, row)\n  const text =\n    contents.type === \"contents\" && contents.contents != null\n      ? contents.contents\n      : await readFileAsync(row.buffer_path, \"utf8\").catch(() => undefined)\n  if (text == null) return { type: \"unavailable\" }\n\n  const ranges = byteRanges.map((range) => {\n    const startOffset = utf8ByteOffsetToStringIndex(text, range.start)\n    const endOffset = utf8ByteOffsetToStringIndex(text, range.end)\n    return {\n      text: text.slice(startOffset, endOffset),\n      selection: offsetsToSelection(text, startOffset, endOffset),\n    }\n  })\n\n  return {\n    type: \"selection\",\n    selection: {\n      filePath: row.buffer_path,\n      source: \"zed\",\n      ranges,\n    },\n  }\n}\n\nfunction queryZedActiveEditor(dbPath: string, cwd: string) {\n  let db: Database | undefined\n  try {\n    db = new Database(dbPath, { readonly: true })\n    const raw = db\n      .query(\n        `select\n          i.kind as item_kind,\n          e.item_id as editor_id,\n          i.workspace_id as workspace_id,\n          w.paths as workspace_paths,\n          w.timestamp as timestamp,\n          e.buffer_path as buffer_path\n        from items i\n        join panes p on p.pane_id = i.pane_id and p.workspace_id = i.workspace_id\n        join workspaces w on w.workspace_id = i.workspace_id\n        left join editors e on e.item_id = i.item_id and e.workspace_id = i.workspace_id\n        where i.active = 1 and p.active = 1\n        order by w.timestamp desc`,\n      )\n      .all()\n\n    const rows = raw.flatMap((row) => {\n      const parsed = decodeZedEditorRow(row)\n      return Option.isSome(parsed) ? [parsed.value] : []\n    })\n\n    if (raw.length > 0 && rows.length === 0) return { type: \"unavailable\" as const }\n\n    const row = rows\n      .map((row) => ({ row, score: scoreZedWorkspace(row.workspace_paths, cwd) }))\n      .filter((entry) => entry.score > 0)\n      .sort((left, right) => right.score - left.score || right.row.timestamp.localeCompare(left.row.timestamp))[0]?.row\n    if (!row) return { type: \"empty\" as const }\n    if (row.item_kind !== \"Editor\") return { type: \"unavailable\" as const }\n    if (!isZedActiveEditorRow(row)) return { type: \"empty\" as const }\n    return { type: \"row\" as const, row }\n  } catch {\n    return { type: \"unavailable\" as const }\n  } finally {\n    db?.close()\n  }\n}\n\nfunction queryZedEditorSelections(dbPath: string, row: ZedActiveEditorRow) {\n  let db: Database | undefined\n  try {\n    db = new Database(dbPath, { readonly: true })\n    const raw = db\n      .query(\n        `select\n          start as selection_start,\n          end as selection_end\n        from editor_selections\n        where editor_id = $editorID and workspace_id = $workspaceID`,\n      )\n      .all({ $editorID: row.editor_id, $workspaceID: row.workspace_id })\n\n    const selections = raw.flatMap((selection) => {\n      const parsed = decodeZedSelectionRow(selection)\n      return Option.isSome(parsed) ? [parsed.value] : []\n    })\n\n    if (raw.length > 0 && selections.length === 0) return { type: \"unavailable\" as const }\n    return { type: \"selections\" as const, selections }\n  } catch {\n    return { type: \"unavailable\" as const }\n  } finally {\n    db?.close()\n  }\n}\n\nfunction queryZedEditorContents(dbPath: string, row: ZedActiveEditorRow) {\n  let db: Database | undefined\n  try {\n    db = new Database(dbPath, { readonly: true })\n    const parsed = decodeZedEditorContents(\n      db\n        .query(\n          `select contents\n        from editors\n        where item_id = $editorID and workspace_id = $workspaceID`,\n        )\n        .get({ $editorID: row.editor_id, $workspaceID: row.workspace_id }),\n    )\n    if (Option.isNone(parsed)) return { type: \"unavailable\" as const }\n    return { type: \"contents\" as const, contents: parsed.value.contents }\n  } catch {\n    return { type: \"unavailable\" as const }\n  } finally {\n    db?.close()\n  }\n}\n\nfunction isZedActiveEditorRow(row: ZedEditorRow): row is ZedActiveEditorRow {\n  return row.item_kind === \"Editor\" && row.editor_id != null\n}\n\nexport function resolveZedDbPath() {\n  const candidates = [\n    process.env.OPENCODE_ZED_DB,\n    path.join(os.homedir(), \"Library\", \"Application Support\", \"Zed\", \"db\", \"0-stable\", \"db.sqlite\"),\n    path.join(os.homedir(), \".local\", \"share\", \"zed\", \"db\", \"0-stable\", \"db.sqlite\"),\n  ].filter((item): item is string => Boolean(item))\n\n  return candidates.find((item) => isFile(item))\n}\n\nfunction isFile(item: string) {\n  try {\n    return statSync(item).isFile()\n  } catch {\n    return false\n  }\n}\n\nfunction scoreZedWorkspace(workspacePaths: string | null, cwd: string) {\n  return zedWorkspacePaths(workspacePaths).reduce((score, item) => {\n    if (pathContains(item, cwd)) return Math.max(score, path.resolve(item).length)\n    return score\n  }, 0)\n}\n\nfunction zedWorkspacePaths(value: string | null) {\n  if (!value) return []\n  const parsed = parseJson(value)\n  if (Array.isArray(parsed)) return parsed.filter((item): item is string => typeof item === \"string\")\n  return value.split(/\\r?\\n/).filter(Boolean)\n}\n\nfunction utf8ByteOffsetToStringIndex(text: string, byteOffset: number) {\n  if (byteOffset <= 0) return 0\n\n  let bytes = 0\n  for (let index = 0; index < text.length; ) {\n    const codePoint = text.codePointAt(index)\n    if (codePoint === undefined) return text.length\n\n    const nextIndex = index + (codePoint > 0xffff ? 2 : 1)\n    bytes += utf8.encode(text.slice(index, nextIndex)).length\n    if (bytes >= byteOffset) return nextIndex\n    index = nextIndex\n  }\n\n  return text.length\n}\n\nfunction offsetsToSelection(text: string, startOffset: number, endOffset: number) {\n  const start = Math.max(0, Math.min(startOffset, text.length))\n  const end = Math.max(0, Math.min(endOffset, text.length))\n  let line = 1\n  let lineStart = 0\n  let startPosition = position(line, lineStart, start)\n  let endPosition = position(line, lineStart, end)\n\n  for (let index = 0; index <= end; index++) {\n    if (index === start) startPosition = position(line, lineStart, index)\n    if (index === end) {\n      endPosition = position(line, lineStart, index)\n      break\n    }\n    if (text[index] === \"\\n\") {\n      line += 1\n      lineStart = index + 1\n    }\n  }\n\n  return { start: startPosition, end: endPosition }\n}\n\nfunction position(line: number, lineStart: number, offset: number) {\n  return {\n    line,\n    character: offset - lineStart + 1,\n  }\n}\n\nfunction pathContains(parent: string, child: string) {\n  const relative = path.relative(path.resolve(parent), path.resolve(child))\n  return relative === \"\" || (!relative.startsWith(\"..\") && !path.isAbsolute(relative))\n}\n\nfunction parseJson(value: string) {\n  try {\n    return JSON.parse(value) as unknown\n  } catch {\n    return\n  }\n}\n"
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+  "debugId": "06392E3C126BC75464756E2164756E21",
+  "names": []
+}

bin/chunk-8pqc3zfn.js.map

+{
+  "version": 3,
+  "sources": ["src/services/service-config.ts"],
+  "sourcesContent": [
+    "import { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"../version\"\nimport { Hash } from \"@opencode-ai/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n  hostname: Schema.optional(Schema.String),\n  port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n  password: Schema.optional(Schema.String),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"next\") return \"service.json\"\n  return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"next\") return 0xc0de\n  if (channel === \"local\") return 0xc0df\n  return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"local\") return\n  return `service-${Hash.fast(channel)}.json`\n}\n\nexport function versionBelongsToChannel(\n  version: string | undefined,\n  channel = OPENCODE_CHANNEL,\n  installedVersion = OPENCODE_VERSION,\n) {\n  if (version === undefined) return false\n  if (version === installedVersion) return true\n  const prefix = `0.0.0-${channel}-`\n  if (!version.startsWith(prefix)) return false\n  return /^\\d+(?:\\.\\d+)?$/.test(version.slice(prefix.length))\n}\n\nexport const migrateRegistration = Effect.fnUntraced(function* (\n  legacy: string,\n  file: string,\n  channel = OPENCODE_CHANNEL,\n  installedVersion = OPENCODE_VERSION,\n) {\n  const fs = yield* FileSystem.FileSystem\n  const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n  if (Option.isNone(text)) return\n  const registration = yield* decodeRegistration(text.value).pipe(Effect.option)\n  if (Option.isNone(registration)) return\n  if (!versionBelongsToChannel(registration.value.version, channel, installedVersion)) return\n  yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nexport const migrateConfig = Effect.fnUntraced(function* (legacy: string, file: string) {\n  const fs = yield* FileSystem.FileSystem\n  const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n  if (Option.isNone(text)) return\n  if (Option.isNone(yield* decodeInfo(text.value).pipe(Effect.option))) return\n  yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nfunction configKey(key: string): Key {\n  if (key === \"hostname\" || key === \"port\" || key === \"password\") return key\n  throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n  const fs = yield* FileSystem.FileSystem\n  const global = yield* Global.Service\n  const name = filename()\n  const legacy = legacyFilename()\n  const file = path.join(global.state, name)\n  return {\n    fs,\n    file,\n    legacyConfigFile: legacy ? path.join(global.config, legacy) : undefined,\n    legacyRegistrationFiles: [\n      ...(legacy ? [path.join(global.state, legacy)] : []),\n      ...(name !== \"service.json\" && OPENCODE_CHANNEL !== \"local\" ? [path.join(global.state, \"service.json\")] : []),\n    ],\n    configFile: path.join(global.config, name),\n  }\n})\n\nexport const options = Effect.fnUntraced(function* () {\n  const { file, legacyRegistrationFiles } = yield* paths\n  yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n  return {\n    file,\n    version: OPENCODE_VERSION,\n    command: [...selfCommand(), \"serve\", \"--service\"],\n  }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n  const { fs, configFile, legacyConfigFile } = yield* paths\n  if (legacyConfigFile) yield* migrateConfig(legacyConfigFile, configFile)\n  return yield* fs.readFileString(configFile).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.catch(() => Effect.succeed({} as Info)),\n  )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n  const { fs, configFile } = yield* paths\n  const temp = configFile + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n  yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n  yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n  const existing = yield* read()\n  if (value === undefined && existing.password) return existing.password\n  const next = value ?? randomBytes(32).toString(\"base64url\")\n\n  // Keep one private credential across server restarts so discovered clients\n  // can reconnect without exposing a password flag or environment variable.\n  yield* write({ ...existing, password: next })\n  return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string) {\n  if (key === undefined) {\n    const { password: _password, ...safe } = yield* read()\n    return JSON.stringify(safe, null, 2)\n  }\n  switch (configKey(key)) {\n    case \"hostname\": {\n      return (yield* read()).hostname ?? \"\"\n    }\n    case \"port\": {\n      const port = (yield* read()).port\n      return port === undefined ? \"\" : String(port)\n    }\n    case \"password\": {\n      return yield* password()\n    }\n  }\n  throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), hostname: value })\n      return\n    }\n    case \"port\": {\n      const port = Number(value)\n      if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), port })\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      yield* password(value)\n      return\n    }\n  }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      const { hostname: _hostname, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"port\": {\n      yield* Service.stop(yield* options())\n      const { port: _port, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      const { password: _password, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n  }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n"
+  ],
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+  "debugId": "2D13A0CE1C270A6364756E2164756E21",
+  "names": []
+}

bin/chunk-91j4h96w.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/fuzzysort@3.1.0/node_modules/fuzzysort/fuzzysort.js"],
+  "sourcesContent": [
+    "// https://github.com/farzher/fuzzysort v3.0.2\r\n\r\n// UMD (Universal Module Definition) for fuzzysort\r\n;((root, UMD) => {\r\n  if(typeof define === 'function' && define.amd) define([], UMD)\r\n  else if(typeof module === 'object' && module.exports) module.exports = UMD()\r\n  else root['fuzzysort'] = UMD()\r\n})(this, _ => {\r\n  'use strict'\r\n\r\n  var single = (search, target) => {\r\n    if(!search || !target) return NULL\r\n\r\n    var preparedSearch = getPreparedSearch(search)\r\n    if(!isPrepared(target)) target = getPrepared(target)\r\n\r\n    var searchBitflags = preparedSearch.bitflags\r\n    if((searchBitflags & target._bitflags) !== searchBitflags) return NULL\r\n\r\n    return algorithm(preparedSearch, target)\r\n  }\r\n\r\n  var go = (search, targets, options) => {\r\n    if(!search) return options?.all ? all(targets, options) : noResults\r\n\r\n    var preparedSearch = getPreparedSearch(search)\r\n    var searchBitflags = preparedSearch.bitflags\r\n    var containsSpace  = preparedSearch.containsSpace\r\n\r\n    var threshold = denormalizeScore( options?.threshold || 0 )\r\n    var limit     = options?.limit || INFINITY\r\n\r\n    var resultsLen = 0; var limitedCount = 0\r\n    var targetsLen = targets.length\r\n\r\n    function push_result(result) {\r\n      if(resultsLen < limit) { q.add(result); ++resultsLen }\r\n      else {\r\n        ++limitedCount\r\n        if(result._score > q.peek()._score) q.replaceTop(result)\r\n      }\r\n    }\r\n\r\n    // This code is copy/pasted 3 times for performance reasons [options.key, options.keys, no keys]\r\n\r\n    // options.key\r\n    if(options?.key) {\r\n      var key = options.key\r\n      for(var i = 0; i < targetsLen; ++i) { var obj = targets[i]\r\n        var target = getValue(obj, key)\r\n        if(!target) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n\r\n        if((searchBitflags & target._bitflags) !== searchBitflags) continue\r\n        var result = algorithm(preparedSearch, target)\r\n        if(result === NULL) continue\r\n        if(result._score < threshold) continue\r\n\r\n        result.obj = obj\r\n        push_result(result)\r\n      }\r\n\r\n    // options.keys\r\n    } else if(options?.keys) {\r\n      var keys = options.keys\r\n      var keysLen = keys.length\r\n\r\n      outer: for(var i = 0; i < targetsLen; ++i) { var obj = targets[i]\r\n\r\n        { // early out based on bitflags\r\n          var keysBitflags = 0\r\n          for (var keyI = 0; keyI < keysLen; ++keyI) {\r\n            var key = keys[keyI]\r\n            var target = getValue(obj, key)\r\n            if(!target) { tmpTargets[keyI] = noTarget; continue }\r\n            if(!isPrepared(target)) target = getPrepared(target)\r\n            tmpTargets[keyI] = target\r\n\r\n            keysBitflags |= target._bitflags\r\n          }\r\n\r\n          if((searchBitflags & keysBitflags) !== searchBitflags) continue\r\n        }\r\n\r\n        if(containsSpace) for(let i=0; i<preparedSearch.spaceSearches.length; i++) keysSpacesBestScores[i] = NEGATIVE_INFINITY\r\n\r\n        for (var keyI = 0; keyI < keysLen; ++keyI) {\r\n          target = tmpTargets[keyI]\r\n          if(target === noTarget) { tmpResults[keyI] = noTarget; continue }\r\n\r\n          tmpResults[keyI] = algorithm(preparedSearch, target, /*allowSpaces=*/false, /*allowPartialMatch=*/containsSpace)\r\n          if(tmpResults[keyI] === NULL) { tmpResults[keyI] = noTarget; continue }\r\n\r\n          // todo: this seems weird and wrong. like what if our first match wasn't good. this should just replace it instead of averaging with it\r\n          // if our second match isn't good we ignore it instead of averaging with it\r\n          if(containsSpace) for(let i=0; i<preparedSearch.spaceSearches.length; i++) {\r\n            if(allowPartialMatchScores[i] > -1000) {\r\n              if(keysSpacesBestScores[i] > NEGATIVE_INFINITY) {\r\n                var tmp = (keysSpacesBestScores[i] + allowPartialMatchScores[i]) / 4/*bonus score for having multiple matches*/\r\n                if(tmp > keysSpacesBestScores[i]) keysSpacesBestScores[i] = tmp\r\n              }\r\n            }\r\n            if(allowPartialMatchScores[i] > keysSpacesBestScores[i]) keysSpacesBestScores[i] = allowPartialMatchScores[i]\r\n          }\r\n        }\r\n\r\n        if(containsSpace) {\r\n          for(let i=0; i<preparedSearch.spaceSearches.length; i++) { if(keysSpacesBestScores[i] === NEGATIVE_INFINITY) continue outer }\r\n        } else {\r\n          var hasAtLeast1Match = false\r\n          for(let i=0; i < keysLen; i++) { if(tmpResults[i]._score !== NEGATIVE_INFINITY) { hasAtLeast1Match = true; break } }\r\n          if(!hasAtLeast1Match) continue\r\n        }\r\n\r\n        var objResults = new KeysResult(keysLen)\r\n        for(let i=0; i < keysLen; i++) { objResults[i] = tmpResults[i] }\r\n\r\n        if(containsSpace) {\r\n          var score = 0\r\n          for(let i=0; i<preparedSearch.spaceSearches.length; i++) score += keysSpacesBestScores[i]\r\n        } else {\r\n          // todo could rewrite this scoring to be more similar to when there's spaces\r\n          // if we match multiple keys give us bonus points\r\n          var score = NEGATIVE_INFINITY\r\n          for(let i=0; i<keysLen; i++) {\r\n            var result = objResults[i]\r\n            if(result._score > -1000) {\r\n              if(score > NEGATIVE_INFINITY) {\r\n                var tmp = (score + result._score) / 4/*bonus score for having multiple matches*/\r\n                if(tmp > score) score = tmp\r\n              }\r\n            }\r\n            if(result._score > score) score = result._score\r\n          }\r\n        }\r\n\r\n        objResults.obj = obj\r\n        objResults._score = score\r\n        if(options?.scoreFn) {\r\n          score = options.scoreFn(objResults)\r\n          if(!score) continue\r\n          score = denormalizeScore(score)\r\n          objResults._score = score\r\n        }\r\n\r\n        if(score < threshold) continue\r\n        push_result(objResults)\r\n      }\r\n\r\n    // no keys\r\n    } else {\r\n      for(var i = 0; i < targetsLen; ++i) { var target = targets[i]\r\n        if(!target) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n\r\n        if((searchBitflags & target._bitflags) !== searchBitflags) continue\r\n        var result = algorithm(preparedSearch, target)\r\n        if(result === NULL) continue\r\n        if(result._score < threshold) continue\r\n\r\n        push_result(result)\r\n      }\r\n    }\r\n\r\n    if(resultsLen === 0) return noResults\r\n    var results = new Array(resultsLen)\r\n    for(var i = resultsLen - 1; i >= 0; --i) results[i] = q.poll()\r\n    results.total = resultsLen + limitedCount\r\n    return results\r\n  }\r\n\r\n\r\n  // this is written as 1 function instead of 2 for minification. perf seems fine ...\r\n  // except when minified. the perf is very slow\r\n  var highlight = (result, open='<b>', close='</b>') => {\r\n    var callback = typeof open === 'function' ? open : undefined\r\n\r\n    var target      = result.target\r\n    var targetLen   = target.length\r\n    var indexes     = result.indexes\r\n    var highlighted = ''\r\n    var matchI      = 0\r\n    var indexesI    = 0\r\n    var opened      = false\r\n    var parts       = []\r\n\r\n    for(var i = 0; i < targetLen; ++i) { var char = target[i]\r\n      if(indexes[indexesI] === i) {\r\n        ++indexesI\r\n        if(!opened) { opened = true\r\n          if(callback) {\r\n            parts.push(highlighted); highlighted = ''\r\n          } else {\r\n            highlighted += open\r\n          }\r\n        }\r\n\r\n        if(indexesI === indexes.length) {\r\n          if(callback) {\r\n            highlighted += char\r\n            parts.push(callback(highlighted, matchI++)); highlighted = ''\r\n            parts.push(target.substr(i+1))\r\n          } else {\r\n            highlighted += char + close + target.substr(i+1)\r\n          }\r\n          break\r\n        }\r\n      } else {\r\n        if(opened) { opened = false\r\n          if(callback) {\r\n            parts.push(callback(highlighted, matchI++)); highlighted = ''\r\n          } else {\r\n            highlighted += close\r\n          }\r\n        }\r\n      }\r\n      highlighted += char\r\n    }\r\n\r\n    return callback ? parts : highlighted\r\n  }\r\n\r\n\r\n  var prepare = (target) => {\r\n    if(typeof target === 'number') target = ''+target\r\n    else if(typeof target !== 'string') target = ''\r\n    var info = prepareLowerInfo(target)\r\n    return new_result(target, {_targetLower:info._lower, _targetLowerCodes:info.lowerCodes, _bitflags:info.bitflags})\r\n  }\r\n\r\n  var cleanup = () => { preparedCache.clear(); preparedSearchCache.clear() }\r\n\r\n\r\n  // Below this point is only internal code\r\n  // Below this point is only internal code\r\n  // Below this point is only internal code\r\n  // Below this point is only internal code\r\n\r\n\r\n  class Result {\r\n    get ['indexes']() { return this._indexes.slice(0, this._indexes.len).sort((a,b)=>a-b) }\r\n    set ['indexes'](indexes) { return this._indexes = indexes }\r\n    ['highlight'](open, close) { return highlight(this, open, close) }\r\n    get ['score']() { return normalizeScore(this._score) }\r\n    set ['score'](score) { this._score = denormalizeScore(score) }\r\n  }\r\n\r\n  class KeysResult extends Array {\r\n    get ['score']() { return normalizeScore(this._score) }\r\n    set ['score'](score) { this._score = denormalizeScore(score) }\r\n  }\r\n\r\n  var new_result = (target, options) => {\r\n    const result = new Result()\r\n    result['target']             = target\r\n    result['obj']                = options.obj                   ?? NULL\r\n    result._score                = options._score                ?? NEGATIVE_INFINITY\r\n    result._indexes              = options._indexes              ?? []\r\n    result._targetLower          = options._targetLower          ?? ''\r\n    result._targetLowerCodes     = options._targetLowerCodes     ?? NULL\r\n    result._nextBeginningIndexes = options._nextBeginningIndexes ?? NULL\r\n    result._bitflags             = options._bitflags             ?? 0\r\n    return result\r\n  }\r\n\r\n\r\n  var normalizeScore = score => {\r\n    if(score === NEGATIVE_INFINITY) return 0\r\n    if(score > 1) return score\r\n    return Math.E ** ( ((-score + 1)**.04307 - 1) * -2)\r\n  }\r\n  var denormalizeScore = normalizedScore => {\r\n    if(normalizedScore === 0) return NEGATIVE_INFINITY\r\n    if(normalizedScore > 1) return normalizedScore\r\n    return 1 - Math.pow((Math.log(normalizedScore) / -2 + 1), 1 / 0.04307)\r\n  }\r\n\r\n\r\n  var prepareSearch = (search) => {\r\n    if(typeof search === 'number') search = ''+search\r\n    else if(typeof search !== 'string') search = ''\r\n    search = search.trim()\r\n    var info = prepareLowerInfo(search)\r\n\r\n    var spaceSearches = []\r\n    if(info.containsSpace) {\r\n      var searches = search.split(/\\s+/)\r\n      searches = [...new Set(searches)] // distinct\r\n      for(var i=0; i<searches.length; i++) {\r\n        if(searches[i] === '') continue\r\n        var _info = prepareLowerInfo(searches[i])\r\n        spaceSearches.push({lowerCodes:_info.lowerCodes, _lower:searches[i].toLowerCase(), containsSpace:false})\r\n      }\r\n    }\r\n\r\n    return {lowerCodes: info.lowerCodes, _lower: info._lower, containsSpace: info.containsSpace, bitflags: info.bitflags, spaceSearches: spaceSearches}\r\n  }\r\n\r\n\r\n\r\n  var getPrepared = (target) => {\r\n    if(target.length > 999) return prepare(target) // don't cache huge targets\r\n    var targetPrepared = preparedCache.get(target)\r\n    if(targetPrepared !== undefined) return targetPrepared\r\n    targetPrepared = prepare(target)\r\n    preparedCache.set(target, targetPrepared)\r\n    return targetPrepared\r\n  }\r\n  var getPreparedSearch = (search) => {\r\n    if(search.length > 999) return prepareSearch(search) // don't cache huge searches\r\n    var searchPrepared = preparedSearchCache.get(search)\r\n    if(searchPrepared !== undefined) return searchPrepared\r\n    searchPrepared = prepareSearch(search)\r\n    preparedSearchCache.set(search, searchPrepared)\r\n    return searchPrepared\r\n  }\r\n\r\n\r\n  var all = (targets, options) => {\r\n    var results = []; results.total = targets.length // this total can be wrong if some targets are skipped\r\n\r\n    var limit = options?.limit || INFINITY\r\n\r\n    if(options?.key) {\r\n      for(var i=0;i<targets.length;i++) { var obj = targets[i]\r\n        var target = getValue(obj, options.key)\r\n        if(target == NULL) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n        var result = new_result(target.target, {_score: target._score, obj: obj})\r\n        results.push(result); if(results.length >= limit) return results\r\n      }\r\n    } else if(options?.keys) {\r\n      for(var i=0;i<targets.length;i++) { var obj = targets[i]\r\n        var objResults = new KeysResult(options.keys.length)\r\n        for (var keyI = options.keys.length - 1; keyI >= 0; --keyI) {\r\n          var target = getValue(obj, options.keys[keyI])\r\n          if(!target) { objResults[keyI] = noTarget; continue }\r\n          if(!isPrepared(target)) target = getPrepared(target)\r\n          target._score = NEGATIVE_INFINITY\r\n          target._indexes.len = 0\r\n          objResults[keyI] = target\r\n        }\r\n        objResults.obj = obj\r\n        objResults._score = NEGATIVE_INFINITY\r\n        results.push(objResults); if(results.length >= limit) return results\r\n      }\r\n    } else {\r\n      for(var i=0;i<targets.length;i++) { var target = targets[i]\r\n        if(target == NULL) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n        target._score = NEGATIVE_INFINITY\r\n        target._indexes.len = 0\r\n        results.push(target); if(results.length >= limit) return results\r\n      }\r\n    }\r\n\r\n    return results\r\n  }\r\n\r\n\r\n  var algorithm = (preparedSearch, prepared, allowSpaces=false, allowPartialMatch=false) => {\r\n    if(allowSpaces===false && preparedSearch.containsSpace) return algorithmSpaces(preparedSearch, prepared, allowPartialMatch)\r\n\r\n    var searchLower      = preparedSearch._lower\r\n    var searchLowerCodes = preparedSearch.lowerCodes\r\n    var searchLowerCode  = searchLowerCodes[0]\r\n    var targetLowerCodes = prepared._targetLowerCodes\r\n    var searchLen        = searchLowerCodes.length\r\n    var targetLen        = targetLowerCodes.length\r\n    var searchI          = 0 // where we at\r\n    var targetI          = 0 // where you at\r\n    var matchesSimpleLen = 0\r\n\r\n    // very basic fuzzy match; to remove non-matching targets ASAP!\r\n    // walk through target. find sequential matches.\r\n    // if all chars aren't found then exit\r\n    for(;;) {\r\n      var isMatch = searchLowerCode === targetLowerCodes[targetI]\r\n      if(isMatch) {\r\n        matchesSimple[matchesSimpleLen++] = targetI\r\n        ++searchI; if(searchI === searchLen) break\r\n        searchLowerCode = searchLowerCodes[searchI]\r\n      }\r\n      ++targetI; if(targetI >= targetLen) return NULL // Failed to find searchI\r\n    }\r\n\r\n    var searchI = 0\r\n    var successStrict = false\r\n    var matchesStrictLen = 0\r\n\r\n    var nextBeginningIndexes = prepared._nextBeginningIndexes\r\n    if(nextBeginningIndexes === NULL) nextBeginningIndexes = prepared._nextBeginningIndexes = prepareNextBeginningIndexes(prepared.target)\r\n    targetI = matchesSimple[0]===0 ? 0 : nextBeginningIndexes[matchesSimple[0]-1]\r\n\r\n    // Our target string successfully matched all characters in sequence!\r\n    // Let's try a more advanced and strict test to improve the score\r\n    // only count it as a match if it's consecutive or a beginning character!\r\n    var backtrackCount = 0\r\n    if(targetI !== targetLen) for(;;) {\r\n      if(targetI >= targetLen) {\r\n        // We failed to find a good spot for this search char, go back to the previous search char and force it forward\r\n        if(searchI <= 0) break // We failed to push chars forward for a better match\r\n\r\n        ++backtrackCount; if(backtrackCount > 200) break // exponential backtracking is taking too long, just give up and return a bad match\r\n\r\n        --searchI\r\n        var lastMatch = matchesStrict[--matchesStrictLen]\r\n        targetI = nextBeginningIndexes[lastMatch]\r\n\r\n      } else {\r\n        var isMatch = searchLowerCodes[searchI] === targetLowerCodes[targetI]\r\n        if(isMatch) {\r\n          matchesStrict[matchesStrictLen++] = targetI\r\n          ++searchI; if(searchI === searchLen) { successStrict = true; break }\r\n          ++targetI\r\n        } else {\r\n          targetI = nextBeginningIndexes[targetI]\r\n        }\r\n      }\r\n    }\r\n\r\n    // check if it's a substring match\r\n    var substringIndex = searchLen <= 1 ? -1 : prepared._targetLower.indexOf(searchLower, matchesSimple[0]) // perf: this is slow\r\n    var isSubstring = !!~substringIndex\r\n    var isSubstringBeginning = !isSubstring ? false : substringIndex===0 || prepared._nextBeginningIndexes[substringIndex-1] === substringIndex\r\n\r\n    // if it's a substring match but not at a beginning index, let's try to find a substring starting at a beginning index for a better score\r\n    if(isSubstring && !isSubstringBeginning) {\r\n      for(var i=0; i<nextBeginningIndexes.length; i=nextBeginningIndexes[i]) {\r\n        if(i <= substringIndex) continue\r\n\r\n        for(var s=0; s<searchLen; s++) if(searchLowerCodes[s] !== prepared._targetLowerCodes[i+s]) break\r\n        if(s === searchLen) { substringIndex = i; isSubstringBeginning = true; break }\r\n      }\r\n    }\r\n\r\n    // tally up the score & keep track of matches for highlighting later\r\n    // if it's a simple match, we'll switch to a substring match if a substring exists\r\n    // if it's a strict match, we'll switch to a substring match only if that's a better score\r\n\r\n    var calculateScore = matches => {\r\n      var score = 0\r\n\r\n      var extraMatchGroupCount = 0\r\n      for(var i = 1; i < searchLen; ++i) {\r\n        if(matches[i] - matches[i-1] !== 1) {score -= matches[i]; ++extraMatchGroupCount}\r\n      }\r\n      var unmatchedDistance = matches[searchLen-1] - matches[0] - (searchLen-1)\r\n\r\n      score -= (12+unmatchedDistance) * extraMatchGroupCount // penality for more groups\r\n\r\n      if(matches[0] !== 0) score -= matches[0]*matches[0]*.2 // penality for not starting near the beginning\r\n\r\n      if(!successStrict) {\r\n        score *= 1000\r\n      } else {\r\n        // successStrict on a target with too many beginning indexes loses points for being a bad target\r\n        var uniqueBeginningIndexes = 1\r\n        for(var i = nextBeginningIndexes[0]; i < targetLen; i=nextBeginningIndexes[i]) ++uniqueBeginningIndexes\r\n\r\n        if(uniqueBeginningIndexes > 24) score *= (uniqueBeginningIndexes-24)*10 // quite arbitrary numbers here ...\r\n      }\r\n\r\n      score -= (targetLen - searchLen)/2 // penality for longer targets\r\n\r\n      if(isSubstring)          score /= 1+searchLen*searchLen*1 // bonus for being a full substring\r\n      if(isSubstringBeginning) score /= 1+searchLen*searchLen*1 // bonus for substring starting on a beginningIndex\r\n\r\n      score -= (targetLen - searchLen)/2 // penality for longer targets\r\n\r\n      return score\r\n    }\r\n\r\n    if(!successStrict) {\r\n      if(isSubstring) for(var i=0; i<searchLen; ++i) matchesSimple[i] = substringIndex+i // at this point it's safe to overwrite matchehsSimple with substr matches\r\n      var matchesBest = matchesSimple\r\n      var score = calculateScore(matchesBest)\r\n    } else {\r\n      if(isSubstringBeginning) {\r\n        for(var i=0; i<searchLen; ++i) matchesSimple[i] = substringIndex+i // at this point it's safe to overwrite matchehsSimple with substr matches\r\n        var matchesBest = matchesSimple\r\n        var score = calculateScore(matchesSimple)\r\n      } else {\r\n        var matchesBest = matchesStrict\r\n        var score = calculateScore(matchesStrict)\r\n      }\r\n    }\r\n\r\n    prepared._score = score\r\n\r\n    for(var i = 0; i < searchLen; ++i) prepared._indexes[i] = matchesBest[i]\r\n    prepared._indexes.len = searchLen\r\n\r\n    const result    = new Result()\r\n    result.target   = prepared.target\r\n    result._score   = prepared._score\r\n    result._indexes = prepared._indexes\r\n    return result\r\n  }\r\n  var algorithmSpaces = (preparedSearch, target, allowPartialMatch) => {\r\n    var seen_indexes = new Set()\r\n    var score = 0\r\n    var result = NULL\r\n\r\n    var first_seen_index_last_search = 0\r\n    var searches = preparedSearch.spaceSearches\r\n    var searchesLen = searches.length\r\n    var changeslen = 0\r\n\r\n    // Return _nextBeginningIndexes back to its normal state\r\n    var resetNextBeginningIndexes = () => {\r\n      for(let i=changeslen-1; i>=0; i--) target._nextBeginningIndexes[nextBeginningIndexesChanges[i*2 + 0]] = nextBeginningIndexesChanges[i*2 + 1]\r\n    }\r\n\r\n    var hasAtLeast1Match = false\r\n    for(var i=0; i<searchesLen; ++i) {\r\n      allowPartialMatchScores[i] = NEGATIVE_INFINITY\r\n      var search = searches[i]\r\n\r\n      result = algorithm(search, target)\r\n      if(allowPartialMatch) {\r\n        if(result === NULL) continue\r\n        hasAtLeast1Match = true\r\n      } else {\r\n        if(result === NULL) {resetNextBeginningIndexes(); return NULL}\r\n      }\r\n\r\n      // if not the last search, we need to mutate _nextBeginningIndexes for the next search\r\n      var isTheLastSearch = i === searchesLen - 1\r\n      if(!isTheLastSearch) {\r\n        var indexes = result._indexes\r\n\r\n        var indexesIsConsecutiveSubstring = true\r\n        for(let i=0; i<indexes.len-1; i++) {\r\n          if(indexes[i+1] - indexes[i] !== 1) {\r\n            indexesIsConsecutiveSubstring = false; break;\r\n          }\r\n        }\r\n\r\n        if(indexesIsConsecutiveSubstring) {\r\n          var newBeginningIndex = indexes[indexes.len-1] + 1\r\n          var toReplace = target._nextBeginningIndexes[newBeginningIndex-1]\r\n          for(let i=newBeginningIndex-1; i>=0; i--) {\r\n            if(toReplace !== target._nextBeginningIndexes[i]) break\r\n            target._nextBeginningIndexes[i] = newBeginningIndex\r\n            nextBeginningIndexesChanges[changeslen*2 + 0] = i\r\n            nextBeginningIndexesChanges[changeslen*2 + 1] = toReplace\r\n            changeslen++\r\n          }\r\n        }\r\n      }\r\n\r\n      score += result._score / searchesLen\r\n      allowPartialMatchScores[i] = result._score / searchesLen\r\n\r\n      // dock points based on order otherwise \"c man\" returns Manifest.cpp instead of CheatManager.h\r\n      if(result._indexes[0] < first_seen_index_last_search) {\r\n        score -= (first_seen_index_last_search - result._indexes[0]) * 2\r\n      }\r\n      first_seen_index_last_search = result._indexes[0]\r\n\r\n      for(var j=0; j<result._indexes.len; ++j) seen_indexes.add(result._indexes[j])\r\n    }\r\n\r\n    if(allowPartialMatch && !hasAtLeast1Match) return NULL\r\n\r\n    resetNextBeginningIndexes()\r\n\r\n    // allows a search with spaces that's an exact substring to score well\r\n    var allowSpacesResult = algorithm(preparedSearch, target, /*allowSpaces=*/true)\r\n    if(allowSpacesResult !== NULL && allowSpacesResult._score > score) {\r\n      if(allowPartialMatch) {\r\n        for(var i=0; i<searchesLen; ++i) {\r\n          allowPartialMatchScores[i] = allowSpacesResult._score / searchesLen\r\n        }\r\n      }\r\n      return allowSpacesResult\r\n    }\r\n\r\n    if(allowPartialMatch) result = target\r\n    result._score = score\r\n\r\n    var i = 0\r\n    for (let index of seen_indexes) result._indexes[i++] = index\r\n    result._indexes.len = i\r\n\r\n    return result\r\n  }\r\n\r\n  // we use this instead of just .normalize('NFD').replace(/[\\u0300-\\u036f]/g, '') because that screws with japanese characters\r\n  var remove_accents = (str) => str.replace(/\\p{Script=Latin}+/gu, match => match.normalize('NFD')).replace(/[\\u0300-\\u036f]/g, '')\r\n\r\n  var prepareLowerInfo = (str) => {\r\n    str = remove_accents(str)\r\n    var strLen = str.length\r\n    var lower = str.toLowerCase()\r\n    var lowerCodes = [] // new Array(strLen)    sparse array is too slow\r\n    var bitflags = 0\r\n    var containsSpace = false // space isn't stored in bitflags because of how searching with a space works\r\n\r\n    for(var i = 0; i < strLen; ++i) {\r\n      var lowerCode = lowerCodes[i] = lower.charCodeAt(i)\r\n\r\n      if(lowerCode === 32) {\r\n        containsSpace = true\r\n        continue // it's important that we don't set any bitflags for space\r\n      }\r\n\r\n      var bit = lowerCode>=97&&lowerCode<=122 ? lowerCode-97 // alphabet\r\n              : lowerCode>=48&&lowerCode<=57  ? 26           // numbers\r\n                                                             // 3 bits available\r\n              : lowerCode<=127                ? 30           // other ascii\r\n              :                                 31           // other utf8\r\n      bitflags |= 1<<bit\r\n    }\r\n\r\n    return {lowerCodes:lowerCodes, bitflags:bitflags, containsSpace:containsSpace, _lower:lower}\r\n  }\r\n  var prepareBeginningIndexes = (target) => {\r\n    var targetLen = target.length\r\n    var beginningIndexes = []; var beginningIndexesLen = 0\r\n    var wasUpper = false\r\n    var wasAlphanum = false\r\n    for(var i = 0; i < targetLen; ++i) {\r\n      var targetCode = target.charCodeAt(i)\r\n      var isUpper = targetCode>=65&&targetCode<=90\r\n      var isAlphanum = isUpper || targetCode>=97&&targetCode<=122 || targetCode>=48&&targetCode<=57\r\n      var isBeginning = isUpper && !wasUpper || !wasAlphanum || !isAlphanum\r\n      wasUpper = isUpper\r\n      wasAlphanum = isAlphanum\r\n      if(isBeginning) beginningIndexes[beginningIndexesLen++] = i\r\n    }\r\n    return beginningIndexes\r\n  }\r\n  var prepareNextBeginningIndexes = (target) => {\r\n    target = remove_accents(target)\r\n    var targetLen = target.length\r\n    var beginningIndexes = prepareBeginningIndexes(target)\r\n    var nextBeginningIndexes = [] // new Array(targetLen)     sparse array is too slow\r\n    var lastIsBeginning = beginningIndexes[0]\r\n    var lastIsBeginningI = 0\r\n    for(var i = 0; i < targetLen; ++i) {\r\n      if(lastIsBeginning > i) {\r\n        nextBeginningIndexes[i] = lastIsBeginning\r\n      } else {\r\n        lastIsBeginning = beginningIndexes[++lastIsBeginningI]\r\n        nextBeginningIndexes[i] = lastIsBeginning===undefined ? targetLen : lastIsBeginning\r\n      }\r\n    }\r\n    return nextBeginningIndexes\r\n  }\r\n\r\n  var preparedCache       = new Map()\r\n  var preparedSearchCache = new Map()\r\n\r\n  // the theory behind these being globals is to reduce garbage collection by not making new arrays\r\n  var matchesSimple = []; var matchesStrict = []\r\n  var nextBeginningIndexesChanges = [] // allows straw berry to match strawberry well, by modifying the end of a substring to be considered a beginning index for the rest of the search\r\n  var keysSpacesBestScores = []; var allowPartialMatchScores = []\r\n  var tmpTargets = []; var tmpResults = []\r\n\r\n  // prop = 'key'                  2.5ms optimized for this case, seems to be about as fast as direct obj[prop]\r\n  // prop = 'key1.key2'            10ms\r\n  // prop = ['key1', 'key2']       27ms\r\n  // prop = obj => obj.tags.join() ??ms\r\n  var getValue = (obj, prop) => {\r\n    var tmp = obj[prop]; if(tmp !== undefined) return tmp\r\n    if(typeof prop === 'function') return prop(obj) // this should run first. but that makes string props slower\r\n    var segs = prop\r\n    if(!Array.isArray(prop)) segs = prop.split('.')\r\n    var len = segs.length\r\n    var i = -1\r\n    while (obj && (++i < len)) obj = obj[segs[i]]\r\n    return obj\r\n  }\r\n\r\n  var isPrepared = (x) => { return typeof x === 'object' && typeof x._bitflags === 'number' }\r\n  var INFINITY = Infinity; var NEGATIVE_INFINITY = -INFINITY\r\n  var noResults = []; noResults.total = 0\r\n  var NULL = null\r\n\r\n  var noTarget = prepare('')\r\n\r\n  // Hacked version of https://github.com/lemire/FastPriorityQueue.js\r\n  var fastpriorityqueue=r=>{var e=[],o=0,a={},v=r=>{for(var a=0,v=e[a],c=1;c<o;){var s=c+1;a=c,s<o&&e[s]._score<e[c]._score&&(a=s),e[a-1>>1]=e[a],c=1+(a<<1)}for(var f=a-1>>1;a>0&&v._score<e[f]._score;f=(a=f)-1>>1)e[a]=e[f];e[a]=v};return a.add=(r=>{var a=o;e[o++]=r;for(var v=a-1>>1;a>0&&r._score<e[v]._score;v=(a=v)-1>>1)e[a]=e[v];e[a]=r}),a.poll=(r=>{if(0!==o){var a=e[0];return e[0]=e[--o],v(),a}}),a.peek=(r=>{if(0!==o)return e[0]}),a.replaceTop=(r=>{e[0]=r,v()}),a}\r\n  var q = fastpriorityqueue() // reuse this\r\n\r\n  // fuzzysort is written this way for minification. all names are mangeled unless quoted\r\n  return {'single':single, 'go':go, 'prepare':prepare, 'cleanup':cleanup}\r\n}) // UMD\r\n"
+  ],
+  "mappings": 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+  "debugId": "E06FE38AECDAEB7C64756E2164756E21",
+  "names": []
+}

bin/chunk-9fp2h8jn.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/image/photon-wasm.bun.ts", "../core/src/image/photon.ts"],
+  "sourcesContent": [
+    "// @ts-ignore Bun embeds static file imports when compiling the CLI.\nimport photonWasm from \"@silvia-odwyer/photon-node/photon_rs_bg.wasm\" with { type: \"file\" }\n\nexport default photonWasm\n",
+    "import photonWasm from \"#photon-wasm\"\nimport { Effect } from \"effect\"\nimport path from \"node:path\"\nimport { fileURLToPath } from \"node:url\"\nimport { FileSystem } from \"../filesystem\"\nimport { DecodeError, ResizerUnavailableError, SizeError } from \"../image\"\n\nconst JPEG_QUALITIES = [80, 85, 70, 55, 40]\n\nexport const make = Effect.gen(function* () {\n  ;(globalThis as typeof globalThis & { __OPENCODE_PHOTON_WASM_PATH?: string }).__OPENCODE_PHOTON_WASM_PATH =\n    path.isAbsolute(photonWasm) ? photonWasm : fileURLToPath(new URL(photonWasm, import.meta.url))\n  const loadPhoton = yield* Effect.cached(\n    Effect.tryPromise({\n      try: () => import(\"@silvia-odwyer/photon-node\"),\n      catch: () => new ResizerUnavailableError(),\n    }),\n  )\n  return Effect.fn(\"Image.Photon.normalize\")(function* (\n    resource: string,\n    content: FileSystem.Content & { readonly encoding: \"base64\" },\n    limits: {\n      readonly autoResize: boolean\n      readonly maxWidth: number\n      readonly maxHeight: number\n      readonly maxBase64Bytes: number\n    },\n  ) {\n    const photon = yield* loadPhoton\n    const decoded = yield* Effect.try({\n      try: () => photon.PhotonImage.new_from_byteslice(Buffer.from(content.content, \"base64\")),\n      catch: () => new DecodeError({ resource }),\n    })\n    try {\n      const width = decoded.get_width()\n      const height = decoded.get_height()\n      const bytes = Buffer.byteLength(content.content, \"utf-8\")\n      if (width <= limits.maxWidth && height <= limits.maxHeight && bytes <= limits.maxBase64Bytes) return content\n      if (!limits.autoResize)\n        return yield* new SizeError({\n          resource,\n          width,\n          height,\n          bytes,\n          maxWidth: limits.maxWidth,\n          maxHeight: limits.maxHeight,\n          maxBytes: limits.maxBase64Bytes,\n        })\n      const scale = Math.min(1, limits.maxWidth / width, limits.maxHeight / height)\n      const sizes = Array.from({ length: 32 }).reduce<Array<{ width: number; height: number }>>((acc) => {\n        const previous = acc.at(-1) ?? {\n          width: Math.max(1, Math.round(width * scale)),\n          height: Math.max(1, Math.round(height * scale)),\n        }\n        const next =\n          acc.length === 0\n            ? previous\n            : {\n                width: previous.width === 1 ? 1 : Math.max(1, Math.floor(previous.width * 0.75)),\n                height: previous.height === 1 ? 1 : Math.max(1, Math.floor(previous.height * 0.75)),\n              }\n        return acc.some((item) => item.width === next.width && item.height === next.height) ? acc : [...acc, next]\n      }, [])\n      for (const size of sizes) {\n        const resized = photon.resize(decoded, size.width, size.height, photon.SamplingFilter.Lanczos3)\n        try {\n          const encoders: Array<readonly [mime: string, encode: () => Uint8Array]> = [\n            [\"image/png\", () => resized.get_bytes()],\n            ...JPEG_QUALITIES.map((quality) => [\"image/jpeg\", () => resized.get_bytes_jpeg(quality)] as const),\n          ]\n          for (const [mime, encode] of encoders) {\n            const candidate = Buffer.from(encode()).toString(\"base64\")\n            if (Buffer.byteLength(candidate, \"utf-8\") <= limits.maxBase64Bytes)\n              return { ...content, content: candidate, encoding: \"base64\" as const, mime }\n          }\n        } finally {\n          resized.free()\n        }\n      }\n      return yield* new SizeError({\n        resource,\n        width,\n        height,\n        bytes,\n        maxWidth: limits.maxWidth,\n        maxHeight: limits.maxHeight,\n        maxBytes: limits.maxBase64Bytes,\n      })\n    } finally {\n      decoded.free()\n    }\n  })\n})\n"
+  ],
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+  "names": []
+}

bin/chunk-b3f8xar0.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/database/migration/20260722170000_canonical_tool_results.ts"],
+  "sourcesContent": [
+    "import { sql } from \"drizzle-orm\"\nimport { Effect, Schema } from \"effect\"\nimport type { DatabaseMigration } from \"../migration\"\n\nconst decodeJson = Schema.decodeUnknownOption(Schema.UnknownFromJsonString)\nconst isObject = Schema.is(Schema.Record(Schema.String, Schema.Unknown))\nconst isJsonObject = Schema.is(Schema.Record(Schema.String, Schema.Json))\n\nconst object = (value: unknown): Record<string, unknown> => (isObject(value) ? value : {})\n\nconst stringify = (value: unknown) => {\n  try {\n    return JSON.stringify(value, null, 2) ?? String(value)\n  } catch {\n    return String(value)\n  }\n}\n\nconst contentOf = (state: Record<string, unknown>) => (Array.isArray(state.content) ? state.content : [])\nconst resultOf = (state: Record<string, unknown>) =>\n  isObject(state.result) && \"value\" in state.result ? state.result.value : state.result\nconst metadataOf = (state: Record<string, unknown>) => {\n  if (isJsonObject(state.structured) && Object.keys(state.structured).length > 0)\n    return { metadata: state.structured }\n  return isJsonObject(state.metadata) ? { metadata: state.metadata } : {}\n}\nconst completedContent = (state: Record<string, unknown>) => {\n  const preserved = contentOf(state)\n  if (preserved.length > 0) return preserved\n  return [{ type: \"text\", text: stringify(Object.keys(object(state.structured)).length ? state.structured : resultOf(state)) }]\n}\n\n/**\n * One-time rewrite of projected tool rows into the canonical result shape:\n * terminal states store model content plus optional metadata; the generic\n * `structured` and `result` fields disappear. Provider-hosted result payloads\n * move into provider-owned result state so hosted continuation survives.\n * Pre-release durable event versions are intentionally left untouched.\n */\nexport default {\n  id: \"20260722170000_canonical_tool_results\",\n  up(tx) {\n    return Effect.gen(function* () {\n      // Keyset-paginated batches keep memory bounded: production databases hold\n      // gigabytes of assistant rows, and materializing them all at once was\n      // measured at a ~5GB RSS spike.\n      let cursor = \"\"\n      while (true) {\n        const messages = yield* tx.all<{ id: string; data: string }>(\n          sql`SELECT id, data FROM session_message WHERE type = 'assistant' AND id > ${cursor} ORDER BY id LIMIT 1000`,\n        )\n        if (messages.length === 0) break\n        cursor = messages[messages.length - 1].id\n        yield* rewrite(tx, messages)\n      }\n    })\n  },\n} satisfies DatabaseMigration.Migration\n\nfunction rewrite(tx: Parameters<DatabaseMigration.Migration[\"up\"]>[0], messages: { id: string; data: string }[]) {\n  return Effect.gen(function* () {\n    for (const row of messages) {\n      // A row that never decoded is skipped rather than failing the whole\n      // migration on every startup; it was equally unreadable before.\n      const decoded = decodeJson(row.data)\n      if (decoded._tag === \"None\") {\n        yield* Effect.logWarning(\"skipping undecodable session_message row\").pipe(Effect.annotateLogs({ id: row.id }))\n        continue\n      }\n      const data = object(decoded.value)\n      if (!Array.isArray(data.content)) continue\n      let changed = false\n      const content = data.content.map((part) => {\n        const tool = object(part)\n        if (tool.type !== \"tool\" || !isObject(tool.state)) return part\n        const state = tool.state\n        if (state.status !== \"completed\" && state.status !== \"error\" && state.status !== \"running\") return part\n        if (!(\"structured\" in state) && !(\"result\" in state)) return part\n        changed = true\n        if (state.status === \"running\")\n          return {\n            ...tool,\n            state: {\n              status: \"running\",\n              input: object(state.input),\n              metadata: object(state.structured),\n            },\n          }\n        // Hosted payloads are irreducible provider replay state; keep them under\n        // the provider-owned result state instead of a generic result field.\n        const hosted =\n          tool.executed === true && isObject(state.result) && \"value\" in state.result\n            ? { providerResultState: { ...object(tool.providerResultState), result: state.result.value } }\n            : {}\n        const preserved = contentOf(state)\n        if (state.status === \"completed\")\n          return {\n            ...tool,\n            ...hosted,\n            state: {\n              status: \"completed\",\n              input: object(state.input),\n              content: completedContent(state),\n              ...metadataOf(state),\n            },\n          }\n        return {\n          ...tool,\n          ...hosted,\n          state: {\n            status: \"error\",\n            input: object(state.input),\n            error: state.error,\n            ...(preserved.length > 0 ? { content: preserved } : {}),\n            ...metadataOf(state),\n          },\n        }\n      })\n      if (!changed) continue\n      yield* tx.run(sql`UPDATE session_message SET data = ${JSON.stringify({ ...data, content })} WHERE id = ${row.id}`)\n    }\n  })\n}\n"
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+  "debugId": "9E3E67BAE63BD0A764756E2164756E21",
+  "names": []
+}

bin/chunk-b3pma6xy.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/open-responses-options.ts", "../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"],
+  "sourcesContent": [
+    "import { Schema } from \"effect\"\nimport { TextVerbosity, type LLMRequest } from \"../../schema\"\n\nexport const ResponseIncludables = [\n  \"file_search_call.results\",\n  \"web_search_call.results\",\n  \"web_search_call.action.sources\",\n  \"message.input_image.image_url\",\n  \"computer_call_output.output.image_url\",\n  \"code_interpreter_call.outputs\",\n  \"reasoning.encrypted_content\",\n  \"message.output_text.logprobs\",\n] as const\nexport type ResponseIncludable = (typeof ResponseIncludables)[number]\n\nexport const ServiceTiers = [\"auto\", \"default\", \"flex\", \"priority\"] as const\nexport type ServiceTier = (typeof ServiceTiers)[number]\n\nconst TEXT_VERBOSITY = new Set<string>([\"low\", \"medium\", \"high\"])\nconst INCLUDABLES = new Set<string>(ResponseIncludables)\nconst SERVICE_TIERS = new Set<string>(ServiceTiers)\n\nconst isTextVerbosity = (value: unknown): value is Schema.Schema.Type<typeof TextVerbosity> =>\n  typeof value === \"string\" && TEXT_VERBOSITY.has(value)\n\nconst isServiceTier = (value: unknown): value is ServiceTier => typeof value === \"string\" && SERVICE_TIERS.has(value)\n\nexport const ReasoningEffort = Schema.String\nexport const TextVerbositySchema = TextVerbosity\nexport const ResponseIncludableSchema = Schema.Literals(ResponseIncludables)\nexport const ServiceTierSchema = Schema.Literals(ServiceTiers)\n\nexport interface Resolved {\n  readonly instructions?: string\n  readonly store?: boolean\n  readonly promptCacheKey?: string\n  readonly reasoningEffort?: string\n  readonly reasoningSummary?: \"auto\" | \"concise\" | \"detailed\"\n  readonly include?: ReadonlyArray<ResponseIncludable>\n  readonly textVerbosity?: Schema.Schema.Type<typeof TextVerbosity>\n  readonly serviceTier?: ServiceTier\n}\n\nexport const resolve = (request: LLMRequest): Resolved => {\n  const input = request.providerOptions?.[request.model.route.providerMetadataKey ?? \"openresponses\"]\n  const include = Array.isArray(input?.include)\n    ? input.include.filter((entry): entry is ResponseIncludable => INCLUDABLES.has(entry))\n    : []\n  const reasoningSummary = input?.reasoningSummary\n  return {\n    instructions: typeof input?.instructions === \"string\" ? input.instructions : undefined,\n    store: typeof input?.store === \"boolean\" ? input.store : undefined,\n    promptCacheKey: typeof input?.promptCacheKey === \"string\" ? input.promptCacheKey : undefined,\n    reasoningEffort: typeof input?.reasoningEffort === \"string\" ? input.reasoningEffort : undefined,\n    reasoningSummary:\n      reasoningSummary === \"auto\" || reasoningSummary === \"concise\" || reasoningSummary === \"detailed\"\n        ? reasoningSummary\n        : undefined,\n    include: include.length > 0 ? include : undefined,\n    textVerbosity: isTextVerbosity(input?.textVerbosity) ? input.textVerbosity : undefined,\n    serviceTier: isServiceTier(input?.serviceTier) ? input.serviceTier : undefined,\n  }\n}\n\nexport * as OpenResponsesOptions from \"./open-responses-options\"\n",
+    "import { ReasoningEfforts } from \"../../schema\"\nimport { OpenResponsesOptions } from \"./open-responses-options\"\n\nexport const OpenAIReasoningEfforts = ReasoningEfforts\nexport type OpenAIReasoningEffort = string\n\n// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this\n// in lockstep with `openai-node/src/resources/responses/responses.ts`.\nexport const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables\nexport type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable\nexport const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers\nexport type OpenAIServiceTier = OpenResponsesOptions.ServiceTier\n\nexport const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosity = OpenResponsesOptions.TextVerbositySchema\nexport const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema\nexport const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema\n\nexport const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === \"string\"\n\nexport const resolve = OpenResponsesOptions.resolve\n\nexport * as OpenAIOptions from \"./openai-options\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { HttpTransport } from \"../route/transport\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  AIError,\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type FinishReasonDetails,\n  type CacheHint,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ReasoningPart,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n} from \"../schema\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { OpenAIOptions } from \"./utils/openai-options\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"openai-chat\"\nconst IMAGE_MIMES = new Set<string>(ProviderShared.IMAGE_MIMES)\nconst RESERVED_REASONING_FIELDS = new Set([\"role\", \"content\", \"tool_calls\"])\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/chat/completions\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\n// The body schema is the provider-native JSON body. `fromRequest` below builds\n// this shape from the common `LLMRequest`, then `Route.make` validates and\n// JSON-encodes it before transport.\nconst OpenAIChatCacheControl = Schema.Struct({\n  type: Schema.Literal(\"ephemeral\"),\n  ttl: Schema.optional(Schema.String),\n})\n\nconst OpenAIChatFunction = Schema.Struct({\n  name: Schema.String,\n  description: Schema.String,\n  parameters: JsonObject,\n})\n\nconst OpenAIChatTool = Schema.Struct({\n  type: Schema.tag(\"function\"),\n  function: OpenAIChatFunction,\n  cache_control: Schema.optional(OpenAIChatCacheControl),\n})\ntype OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>\n\nconst OpenAIChatAssistantToolCall = Schema.Struct({\n  id: Schema.String,\n  type: Schema.tag(\"function\"),\n  function: Schema.Struct({\n    name: Schema.String,\n    arguments: Schema.String,\n  }),\n})\ntype OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>\n\nconst OpenAIChatUserContent = Schema.Union([\n  Schema.Struct({\n    type: Schema.Literal(\"text\"),\n    text: Schema.String,\n    cache_control: Schema.optional(OpenAIChatCacheControl),\n  }),\n  Schema.Struct({\n    type: Schema.Literal(\"image_url\"),\n    image_url: Schema.Struct({ url: Schema.String }),\n  }),\n])\n\nconst OpenAIChatMessage = Schema.Union([\n  Schema.Struct({\n    role: Schema.Literal(\"system\"),\n    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n  }),\n  Schema.Struct({\n    role: Schema.Literal(\"user\"),\n    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n  }),\n  Schema.StructWithRest(\n    Schema.Struct({\n      role: Schema.Literal(\"assistant\"),\n      content: Schema.NullOr(Schema.String),\n      tool_calls: optionalArray(OpenAIChatAssistantToolCall),\n      reasoning_content: Schema.optional(Schema.String),\n      reasoning: Schema.optional(Schema.String),\n      reasoning_text: Schema.optional(Schema.String),\n      reasoning_details: Schema.optional(Schema.Unknown),\n      cache_control: Schema.optional(OpenAIChatCacheControl),\n    }),\n    [Schema.Record(Schema.String, Schema.Unknown)],\n  ),\n  Schema.Struct({\n    role: Schema.Literal(\"tool\"),\n    tool_call_id: Schema.String,\n    content: Schema.String,\n    cache_control: Schema.optional(OpenAIChatCacheControl),\n  }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>\n\nconst OpenAIChatToolChoice = Schema.Union([\n  Schema.Literals([\"auto\", \"none\", \"required\"]),\n  Schema.Struct({\n    type: Schema.tag(\"function\"),\n    function: Schema.Struct({ name: Schema.String }),\n  }),\n])\n\nexport const bodyFields = {\n  model: Schema.String,\n  messages: Schema.Array(OpenAIChatMessage),\n  tools: optionalArray(OpenAIChatTool),\n  tool_choice: Schema.optional(OpenAIChatToolChoice),\n  stream: Schema.Literal(true),\n  stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),\n  store: Schema.optional(Schema.Boolean),\n  reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),\n  max_completion_tokens: Schema.optional(Schema.Number),\n  max_tokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  top_p: Schema.optional(Schema.Number),\n  frequency_penalty: Schema.optional(Schema.Number),\n  presence_penalty: Schema.optional(Schema.Number),\n  seed: Schema.optional(Schema.Number),\n  stop: optionalArray(Schema.String),\n}\nconst OpenAIChatBody = Schema.Struct(bodyFields)\nexport type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>\n\n// =============================================================================\n// Streaming Event Schema\n// =============================================================================\n// The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the\n// byte stream into strings, then `Protocol.jsonEvent` decodes each string into\n// this provider-native event shape.\nconst OpenAIChatUsage = Schema.Struct({\n  prompt_tokens: Schema.optional(Schema.Number),\n  completion_tokens: Schema.optional(Schema.Number),\n  total_tokens: Schema.optional(Schema.Number),\n  prompt_tokens_details: optionalNull(\n    Schema.Struct({\n      cached_tokens: Schema.optional(Schema.Number),\n      cache_write_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n  completion_tokens_details: optionalNull(\n    Schema.Struct({\n      reasoning_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n})\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n  name: optionalNull(Schema.String),\n  arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n  index: Schema.Number,\n  id: optionalNull(Schema.String),\n  function: optionalNull(OpenAIChatToolCallDeltaFunction),\n})\ntype OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>\n\nconst OpenAIChatDelta = Schema.StructWithRest(\n  Schema.Struct({\n    content: optionalNull(Schema.String),\n    reasoning_content: optionalNull(Schema.String),\n    reasoning: optionalNull(Schema.String),\n    reasoning_text: optionalNull(Schema.String),\n    reasoning_details: optionalNull(Schema.Unknown),\n    tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatChoice = Schema.Struct({\n  delta: optionalNull(OpenAIChatDelta),\n  finish_reason: optionalNull(Schema.String),\n  native_finish_reason: optionalNull(Schema.String),\n})\n\nconst OpenAIChatError = Schema.Struct({\n  code: optionalNull(Schema.Union([Schema.String, Schema.Number])),\n  message: Schema.String,\n})\n\nexport const OpenAIChatEvent = Schema.Struct({\n  choices: optionalNull(Schema.Array(OpenAIChatChoice)),\n  usage: optionalNull(OpenAIChatUsage),\n  error: optionalNull(OpenAIChatError),\n})\nexport type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>\ntype OpenAIChatRequestMessage = LLMRequest[\"messages\"][number]\n\ninterface PendingToolDelta {\n  readonly id?: string\n  readonly name?: string\n  readonly input: string\n}\n\nexport interface ParserState {\n  readonly tools: ToolStream.State<number>\n  readonly pendingTools: Partial<Record<number, PendingToolDelta>>\n  readonly toolCallEvents: ReadonlyArray<LLMEvent>\n  readonly usage?: Usage\n  readonly finishReason?: FinishReasonDetails\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningField?: string\n  readonly reasoningDetails: Array<unknown>\n  readonly reasoningDetailsObserved: boolean\n  readonly reasoningEmitted: boolean\n}\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Lowering is the only place that knows how common LLM messages map onto the\n// OpenAI Chat wire format. Keep provider quirks here instead of leaking native\n// fields into `LLMRequest`.\ninterface LoweringOptions {\n  readonly cacheControl?: (\n    cache: CacheHint | undefined,\n  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined\n}\n\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema, options: LoweringOptions): OpenAIChatTool => ({\n  type: \"function\",\n  function: {\n    name: tool.name,\n    description: tool.description,\n    parameters: ToolSchemaProjection.openAI(inputSchema),\n  },\n  cache_control: options.cacheControl?.(tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"OpenAI Chat\", toolChoice, {\n    auto: () => \"auto\" as const,\n    none: () => \"none\" as const,\n    required: () => \"required\" as const,\n    tool: (name) => ({ type: \"function\" as const, function: { name } }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({\n  id: part.id,\n  type: \"function\",\n  function: {\n    name: part.name,\n    arguments: ProviderShared.encodeJson(part.input),\n  },\n})\n\nconst lowerMedia = Effect.fn(\"OpenAIChat.lowerMedia\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\"OpenAI Chat\", part, IMAGE_MIMES)\n  return { type: \"image_url\" as const, image_url: { url: media.dataUrl } }\n})\n\nconst openAICompatibleReasoningContent = (native: unknown) =>\n  isRecord(native) && typeof native.reasoning_content === \"string\" ? native.reasoning_content : undefined\n\nconst reasoningField = (part: ReasoningPart) => {\n  const field = part.providerMetadata?.openai?.reasoningField\n  return typeof field === \"string\" ? field : undefined\n}\n\nconst reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown) => {\n  const observed = parts.flatMap((part) => {\n    const details = part.providerMetadata?.openai?.reasoningDetails\n    return Array.isArray(details) ? details : []\n  })\n  if (parts.some((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))) return observed\n  if (isRecord(native) && Array.isArray(native.reasoning_details)) return native.reasoning_details\n}\n\nconst lowerUserMessage = Effect.fn(\"OpenAIChat.lowerUserMessage\")(function* (\n  message: OpenAIChatRequestMessage,\n  options: LoweringOptions,\n) {\n  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n  for (const part of message.content) {\n    if (part.type === \"text\") {\n      content.push({ type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) })\n      continue\n    }\n    if (part.type === \"media\") {\n      content.push(yield* lowerMedia(part))\n      continue\n    }\n    return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"user\", [\"text\", \"media\"])\n  }\n  if (content.every((part) => part.type === \"text\" && part.cache_control === undefined))\n    return {\n      role: \"user\" as const,\n      content: content.map((part) => (part.type === \"text\" ? part.text : \"\")).join(\"\"),\n    }\n  return { role: \"user\" as const, content }\n})\n\nconst lowerAssistantMessage = Effect.fn(\"OpenAIChat.lowerAssistantMessage\")(function* (\n  message: OpenAIChatRequestMessage,\n  configuredField?: string,\n  options: LoweringOptions = {},\n) {\n  const content: TextPart[] = []\n  const reasoning: ReasoningPart[] = []\n  const toolCalls: OpenAIChatAssistantToolCall[] = []\n  for (const part of message.content) {\n    if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n      return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n    if (part.type === \"text\") {\n      content.push(part)\n      continue\n    }\n    if (part.type === \"reasoning\") {\n      reasoning.push(part)\n      continue\n    }\n    if (part.type === \"tool-call\") {\n      toolCalls.push(lowerToolCall(part))\n      continue\n    }\n  }\n  const text = reasoning.map((part) => part.text).join(\"\")\n  const details = reasoningDetails(reasoning, message.native?.openaiCompatible)\n  const observedField = reasoning.map(reasoningField).find((value) => value !== undefined)\n  const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)\n  const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))\n  const field = (() => {\n    if (configuredField !== undefined) return configuredField\n    if (reasoning.length === 0) return undefined\n    if (observedField !== undefined) return observedField\n    if (nativeReasoning !== undefined) return \"reasoning_content\"\n    if (!fullyStructured) return \"reasoning_content\"\n  })()\n  const reasoningText = (() => {\n    if (configuredField !== undefined) return reasoning.length === 0 ? (nativeReasoning ?? \"\") : text\n    if (reasoning.length === 0) return nativeReasoning\n    return text\n  })()\n  const cached = message.content.findLast((part) => \"cache\" in part && part.cache !== undefined)\n  const result = {\n    role: \"assistant\" as const,\n    content: content.length === 0 ? null : ProviderShared.joinText(content),\n    tool_calls: toolCalls.length === 0 ? undefined : toolCalls,\n    reasoning_details: details,\n    cache_control: options.cacheControl?.(cached && \"cache\" in cached ? cached.cache : undefined),\n  }\n  if (field === undefined || reasoningText === undefined) return result\n  return { ...result, [field]: reasoningText }\n})\n\nconst lowerToolMessages = Effect.fn(\"OpenAIChat.lowerToolMessages\")(function* (\n  message: OpenAIChatRequestMessage,\n  options: LoweringOptions,\n) {\n  const messages: OpenAIChatMessage[] = []\n  const images: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n  for (const part of message.content) {\n    if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n      return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"tool\", [\"tool-result\"])\n    if (part.result.type !== \"content\") {\n      messages.push({\n        role: \"tool\",\n        tool_call_id: part.id,\n        content: ProviderShared.toolResultText(part),\n        cache_control: options.cacheControl?.(part.cache),\n      })\n      continue\n    }\n    const content: ReadonlyArray<Tool.Content> = part.result.value\n    const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n    messages.push({\n      role: \"tool\",\n      tool_call_id: part.id,\n      content: text.join(\"\\n\"),\n      cache_control: options.cacheControl?.(part.cache),\n    })\n    const files = content.filter((item) => item.type === \"file\")\n    images.push(\n      ...(yield* Effect.forEach(files, (item) =>\n        lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name }),\n      )),\n    )\n  }\n  return { messages, images }\n})\n\nconst lowerMessage = Effect.fn(\"OpenAIChat.lowerMessage\")(function* (\n  message: OpenAIChatRequestMessage,\n  reasoningField?: string,\n  options: LoweringOptions = {},\n) {\n  if (message.role === \"user\") return [yield* lowerUserMessage(message, options)]\n  if (message.role === \"assistant\") return [yield* lowerAssistantMessage(message, reasoningField, options)]\n  return (yield* lowerToolMessages(message, options)).messages\n})\n\nconst lowerMessages = Effect.fn(\"OpenAIChat.lowerMessages\")(function* (request: LLMRequest, options: LoweringOptions) {\n  const system: OpenAIChatMessage[] =\n    request.system.length === 0\n      ? []\n      : request.system.some((part) => part.cache !== undefined) && options.cacheControl !== undefined\n        ? [\n            {\n              role: \"system\",\n              content: request.system.map((part) => ({\n                type: \"text\",\n                text: part.text,\n                cache_control: options.cacheControl?.(part.cache),\n              })),\n            },\n          ]\n        : [{ role: \"system\", content: ProviderShared.joinText(request.system) }]\n  const messages = [...system]\n  const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n  const flushImages = () => {\n    if (pendingImages.length === 0) return\n    messages.push({ role: \"user\", content: pendingImages.splice(0) })\n  }\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"OpenAI Chat\", message)\n      if (pendingImages.length > 0) {\n        messages.push({\n          role: \"user\",\n          content: [\n            ...pendingImages.splice(0),\n            { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n          ],\n        })\n        continue\n      }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\" && typeof previous.content === \"string\")\n        messages[messages.length - 1] = options.cacheControl?.(part.cache)\n          ? {\n              role: \"user\",\n              content: [\n                { type: \"text\", text: previous.content },\n                { type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) },\n              ],\n            }\n          : { role: \"user\", content: `${previous.content}\\n${part.text}` }\n      else if (previous?.role === \"user\" && Array.isArray(previous.content))\n        messages[messages.length - 1] = {\n          role: \"user\",\n          content: [\n            ...previous.content,\n            { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n          ],\n        }\n      else\n        messages.push(\n          options.cacheControl?.(part.cache)\n            ? {\n                role: \"user\",\n                content: [{ type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) }],\n              }\n            : { role: \"user\", content: part.text },\n        )\n      continue\n    }\n    if (message.role === \"tool\") {\n      const lowered = yield* lowerToolMessages(message, options)\n      messages.push(...lowered.messages)\n      pendingImages.push(...lowered.images)\n      continue\n    }\n    flushImages()\n    messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField, options)))\n  }\n  flushImages()\n  return messages\n})\n\nconst lowerOptions = (request: LLMRequest) => {\n  const options = OpenAIOptions.resolve(request)\n  return {\n    ...(options.store !== undefined ? { store: options.store } : {}),\n    ...(options.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),\n  }\n}\n\nexport const fromRequest = Effect.fn(\"OpenAIChat.fromRequest\")(function* (\n  request: LLMRequest,\n  options: LoweringOptions = {},\n) {\n  // `fromRequest` returns the provider body only. Endpoint, auth, framing,\n  // validation, and HTTP execution are composed by `Route.make`.\n  const reasoningField = request.model.compatibility?.reasoningField\n  if (reasoningField && RESERVED_REASONING_FIELDS.has(reasoningField))\n    return yield* ProviderShared.invalidRequest(\n      `OpenAI Chat reasoning field conflicts with reserved field ${reasoningField}`,\n    )\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const maxTokensField = request.model.compatibility?.maxTokensField ?? \"max_tokens\"\n  return {\n    model: request.model.id,\n    messages: yield* lowerMessages(request, options),\n    tools:\n      request.tools.length === 0\n        ? undefined\n        : request.tools.map((tool) =>\n            lowerTool(\n              tool,\n              ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n              options,\n            ),\n          ),\n    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,\n    stream: true as const,\n    stream_options: { include_usage: true },\n    ...(maxTokensField === \"max_completion_tokens\"\n      ? { max_completion_tokens: generation?.maxTokens }\n      : { max_tokens: generation?.maxTokens }),\n    temperature: generation?.temperature,\n    top_p: generation?.topP,\n    frequency_penalty: generation?.frequencyPenalty,\n    presence_penalty: generation?.presencePenalty,\n    seed: generation?.seed,\n    stop: generation?.stop,\n    ...lowerOptions(request),\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Streaming parsers are small state machines: every event returns a new state\n// plus the common `LLMEvent`s produced by that event. Tool calls are accumulated\n// because OpenAI streams JSON arguments across multiple deltas.\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n  if (reason === \"stop\") return \"stop\"\n  if (reason === \"length\") return \"length\"\n  if (reason === \"content_filter\") return \"content-filter\"\n  if (reason === \"function_call\" || reason === \"tool_calls\") return \"tool-calls\"\n  if (reason === \"error\") return \"error\"\n  return \"unknown\"\n}\n\n// OpenAI Chat reports `prompt_tokens` (inclusive total) with a\n// cached-read and cache-write subsets, and `completion_tokens` (inclusive\n// total) with a `reasoning_tokens` subset. We pass the inclusive totals\n// through and derive the non-cached breakdown so the `AI.Usage` contract is\n// satisfied on both sides.\nconst mapUsage = (usage: OpenAIChatEvent[\"usage\"]): Usage | undefined => {\n  if (!usage) return undefined\n  const cached = usage.prompt_tokens_details?.cached_tokens\n  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens\n  const reasoning = usage.completion_tokens_details?.reasoning_tokens\n  const nonCached = ProviderShared.subtractTokens(usage.prompt_tokens, ProviderShared.sumTokens(cached, cacheWrite))\n  return new Usage({\n    inputTokens: usage.prompt_tokens,\n    outputTokens: usage.completion_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    cacheWriteInputTokens: cacheWrite,\n    reasoningTokens: reasoning,\n    totalTokens: ProviderShared.totalTokens(usage.prompt_tokens, usage.completion_tokens, usage.total_tokens),\n    providerMetadata: { openai: usage },\n  })\n}\n\nconst reasoningDelta = (\n  delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined,\n  configuredField?: string,\n) => {\n  if (!delta) return undefined\n  const fields = new Set([configuredField, \"reasoning_content\", \"reasoning\", \"reasoning_text\"])\n  for (const field of fields) {\n    if (field === undefined) continue\n    const text = delta[field]\n    if (typeof text === \"string\" && text.length > 0) return { field, text }\n  }\n  return undefined\n}\n\nconst detailText = (details: ReadonlyArray<unknown>) => {\n  const text = details.flatMap((detail) => {\n    if (!isRecord(detail)) return []\n    if (detail.type === \"reasoning.text\" && typeof detail.text === \"string\" && detail.text) return [detail.text]\n    if (detail.type === \"reasoning.summary\" && typeof detail.summary === \"string\" && detail.summary)\n      return [detail.summary]\n    return []\n  })\n  if (text.length > 0) return text.join(\"\")\n}\n\nconst appendReasoningDetails = (result: Array<unknown>, details: ReadonlyArray<unknown>) => {\n  for (const detail of details) {\n    const previous = result.at(-1)\n    if (\n      !isRecord(previous) ||\n      previous.type !== \"reasoning.text\" ||\n      !isRecord(detail) ||\n      detail.type !== \"reasoning.text\" ||\n      conflictingReasoningTextDetails(previous, detail)\n    ) {\n      result.push(detail)\n      continue\n    }\n    result[result.length - 1] = {\n      ...previous,\n      ...Object.fromEntries(Object.entries(detail).filter((entry) => entry[1] !== undefined)),\n      text: `${typeof previous.text === \"string\" ? previous.text : \"\"}${typeof detail.text === \"string\" ? detail.text : \"\"}`,\n      signature: mergeDetailValue(previous.signature, detail.signature),\n      format: mergeDetailValue(previous.format, detail.format),\n    }\n  }\n}\n\nconst mergeDetailValue = (previous: unknown, current: unknown) =>\n  previous || current || (previous !== undefined ? previous : current)\n\nconst conflictingReasoningTextDetails = (previous: Record<string, unknown>, current: Record<string, unknown>) =>\n  conflictingDetailValue(previous.id, current.id) ||\n  conflictingDetailValue(previous.index, current.index) ||\n  conflictingDetailValue(previous.format, current.format) ||\n  (Boolean(previous.signature) && Boolean(current.signature) && previous.signature !== current.signature)\n\nconst conflictingDetailValue = (previous: unknown, current: unknown) =>\n  previous !== undefined && previous !== null && current !== undefined && current !== null && previous !== current\n\nconst reasoningMetadata = (field: ParserState[\"reasoningField\"], details?: ReadonlyArray<unknown>) => ({\n  openai: {\n    ...(field ? { reasoningField: field } : {}),\n    ...(details ? { reasoningDetails: details } : {}),\n  },\n})\n\nconst step = (state: ParserState, event: OpenAIChatEvent) =>\n  Effect.gen(function* () {\n    if (event.error)\n      return yield* new AIError({\n        module: ADAPTER,\n        method: \"stream\",\n        reason: classifyProviderFailure({\n          message: event.error.message,\n          code: event.error.code === undefined || event.error.code === null ? undefined : String(event.error.code),\n          status: typeof event.error.code === \"number\" ? event.error.code : undefined,\n        }),\n      })\n    const events: LLMEvent[] = []\n    const usage = mapUsage(event.usage) ?? state.usage\n    const choice = event.choices?.[0]\n    const finishReason = choice?.finish_reason\n      ? { normalized: mapFinishReason(choice.finish_reason), raw: choice.native_finish_reason ?? choice.finish_reason }\n      : state.finishReason\n    const delta = choice?.delta\n    const toolDeltas = delta?.tool_calls ?? []\n    let tools = state.tools\n    let pendingTools = state.pendingTools\n\n    let lifecycle = state.lifecycle\n\n    const reasoning = reasoningDelta(delta, state.reasoningField)\n    const reasoningField = state.reasoningField ?? (!state.lifecycle.text.has(\"text-0\") ? reasoning?.field : undefined)\n    const detailDelta = Array.isArray(delta?.reasoning_details) ? delta.reasoning_details : undefined\n    if (detailDelta !== undefined) appendReasoningDetails(state.reasoningDetails, detailDelta)\n    const reasoningDetailsObserved = state.reasoningDetailsObserved || detailDelta !== undefined\n    const deltaMetadata = reasoningMetadata(reasoningField)\n    const text = detailDelta?.length ? (detailText(detailDelta) ?? reasoning?.text) : reasoning?.text\n    if (!state.lifecycle.text.has(\"text-0\") && text !== undefined)\n      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n    else if (\n      reasoningDetailsObserved &&\n      !lifecycle.reasoning.has(\"reasoning-0\") &&\n      (Boolean(delta?.content) || toolDeltas.length > 0)\n    )\n      lifecycle = Lifecycle.reasoningStart(lifecycle, events, \"reasoning-0\", deltaMetadata)\n    const reasoningEmitted = state.reasoningEmitted || lifecycle.reasoning.has(\"reasoning-0\")\n\n    if (delta?.content) {\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.content)\n    }\n\n    for (const tool of toolDeltas) {\n      const current = tools[tool.index]\n      const pending = pendingTools[tool.index]\n      const id = current?.id ?? pending?.id ?? (tool.id || undefined)\n      const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)\n      const text = `${pending?.input ?? \"\"}${tool.function?.arguments ?? \"\"}`\n      if (!current && (!id || !name)) {\n        pendingTools = { ...pendingTools, [tool.index]: { id: id || undefined, name: name || undefined, input: text } }\n        continue\n      }\n      if (pending) {\n        pendingTools = { ...pendingTools }\n        delete pendingTools[tool.index]\n      }\n      const result = ToolStream.appendOrStart(\n        ADAPTER,\n        tools,\n        tool.index,\n        { id: id || undefined, name: name || undefined, text },\n        \"OpenAI Chat tool call delta is missing id or name\",\n      )\n      if (ToolStream.isError(result)) return yield* result\n      tools = result.tools\n      if (result.events.length) lifecycle = Lifecycle.stepStart(lifecycle, events)\n      events.push(...result.events)\n    }\n\n    if (finishReason !== undefined && state.finishReason === undefined && Object.keys(pendingTools).length > 0)\n      return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat tool call delta is missing id or name\")\n\n    // Finalize accumulated tool inputs eagerly when finish_reason arrives so\n    // valid calls and malformed local calls settle independently.\n    const finished =\n      finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0\n        ? yield* ToolStream.finishAll(ADAPTER, tools)\n        : undefined\n\n    return [\n      {\n        tools: finished?.tools ?? tools,\n        pendingTools,\n        toolCallEvents: finished?.events ?? state.toolCallEvents,\n        usage,\n        finishReason,\n        lifecycle,\n        reasoningField,\n        reasoningDetails: state.reasoningDetails,\n        reasoningDetailsObserved,\n        reasoningEmitted,\n      },\n      events,\n    ] as const\n  })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n  const events: LLMEvent[] = []\n  const hasToolCalls = state.toolCallEvents.length > 0\n  const reason = state.finishReason\n    ? {\n        ...state.finishReason,\n        normalized:\n          state.finishReason.normalized === \"stop\" && hasToolCalls ? \"tool-calls\" : state.finishReason.normalized,\n      }\n    : undefined\n  const metadata = reasoningMetadata(\n    state.reasoningField,\n    state.reasoningDetailsObserved ? state.reasoningDetails : undefined,\n  )\n  const started =\n    state.reasoningDetailsObserved && !state.reasoningEmitted\n      ? Lifecycle.reasoningStart(state.lifecycle, events, \"reasoning-0\", reasoningMetadata(state.reasoningField))\n      : state.lifecycle\n  const ended = Lifecycle.reasoningEnd(started, events, \"reasoning-0\", metadata)\n  const lifecycle = state.toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n  events.push(...state.toolCallEvents)\n  if (reason) Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })\n  return events\n}\n\n// =============================================================================\n// Protocol And OpenAI Route\n// =============================================================================\n/**\n * The OpenAI Chat protocol — request body construction, body schema, and the\n * streaming-event state machine. Reused by every route that speaks OpenAI Chat\n * over HTTP+SSE: native OpenAI, DeepSeek, TogetherAI, Cerebras, Baseten,\n * Fireworks, DeepInfra, and (once added) Azure OpenAI Chat.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: OpenAIChatBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(OpenAIChatEvent),\n    initial: (request) => ({\n      tools: ToolStream.empty<number>(),\n      pendingTools: {},\n      toolCallEvents: [],\n      lifecycle: Lifecycle.initial(),\n      reasoningField: request.model.compatibility?.reasoningField,\n      reasoningDetails: [],\n      reasoningDetailsObserved: false,\n      reasoningEmitted: false,\n    }),\n    step,\n    onHalt: finishEvents,\n  },\n})\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIChatBody>()\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"openai\",\n  providerMetadataKey: \"openai\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  transport: httpTransport,\n})\n\nexport * as OpenAIChat from \"./openai-chat\"\n"
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+  "names": []
+}

bin/chunk-b7y6hvgp.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/status.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.status,\n  Effect.fn(\"cli.service.status\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover({ ...options, version: undefined })\n    process.stdout.write((found?.url ?? \"stopped\") + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";+0BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,YACnC,OAAO,QAAG,yBAAoB,OAAE,cAAU,OAAG,MAC3C,SAAM,OAAU,WAAO,OAAc,aAAQ,EACvC,EAAQ,MAAO,EAAQ,SAAS,IAAK,EAAS,QAAS,MAAU,CAAC,EACxE,QAAQ,OAAO,OAAO,GAAO,KAAO,WAAa,CAAG,EACrD,CACH",
+  "debugId": "B4A84081252F027A64756E2164756E21",
+  "names": []
+}

bin/chunk-bn634v1c.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mcp/logout.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.logout,\n  Effect.fn(\"cli.mcp.logout\")(function* (input) {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n    const integration = yield* resolveIntegration(client, input.name, location)\n    if (!integration) {\n      process.stdout.write(`No stored credentials for ${input.name}` + EOL)\n      return\n    }\n\n    const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n    if (credentials.length === 0) {\n      process.stdout.write(`No stored credentials for ${input.name}` + EOL)\n      return\n    }\n\n    yield* Effect.forEach(\n      credentials,\n      (connection) => Effect.promise(() => client.credential.remove({ credentialID: connection.id, location })),\n      { discard: true },\n    )\n    process.stdout.write(`Removed OAuth credentials for ${input.name}` + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";66BAAA,mBAAS,gBAST,SAAM,OAAW,MAAE,eAAW,aAAQ,SAAI,MAAE,OAE7B,SAAQ,aACrB,OAAS,cAAS,SAAI,cAAS,YAC/B,OAAO,QAAG,qBAAgB,OAAE,cAAU,MAAC,OAAO,CAC5C,IAAM,EAAU,MAAO,EAAc,QAAQ,EAEvC,GADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAEpF,EAAc,MAAO,EAAmB,EAAQ,EAAM,KAAM,CAAQ,EAC1E,GAAI,CAAC,EAAa,CAChB,QAAQ,OAAO,MAAM,6BAA6B,EAAM,OAAS,CAAG,EACpE,OAGF,IAAM,EAAc,EAAY,YAAY,OAAO,CAAC,IAAe,EAAW,OAAS,YAAY,EACnG,GAAI,EAAY,SAAW,EAAG,CAC5B,QAAQ,OAAO,MAAM,6BAA6B,EAAM,OAAS,CAAG,EACpE,OAGF,MAAO,EAAO,QACZ,EACA,CAAC,IAAe,EAAO,QAAQ,IAAM,EAAO,WAAW,OAAO,CAAE,aAAc,EAAW,GAAI,UAAS,CAAC,CAAC,EACxG,CAAE,QAAS,EAAK,CAClB,EACA,QAAQ,OAAO,MAAM,iCAAiC,EAAM,OAAS,CAAG,EACzE,CACH",
+  "debugId": "BC143887953ABB6D64756E2164756E21",
+  "names": []
+}

bin/chunk-c3pdpvk3.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mini.ts"],
+  "sourcesContent": [
+    "import { Context, Effect, FileSystem, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { Config } from \"../../config\"\nimport { resolve } from \"@opencode-ai/tui/config\"\n\nexport default Runtime.handler(Commands.commands.mini, (input) =>\n  Effect.gen(function* () {\n    const { runMini, validateMiniTerminal } = yield* Effect.promise(() => import(\"../../mini\"))\n    yield* Effect.promise(async () => validateMiniTerminal())\n    const serverURL = Option.getOrUndefined(input.server)\n    const server = yield* ServerConnection.resolve({ server: serverURL, standalone: input.standalone })\n    const config = yield* Config.Service\n    const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== \"win32\" })\n    const fileSystem = yield* FileSystem.FileSystem\n    const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))\n    const service = server.service\n    yield* Effect.promise(() =>\n      runMini({\n        server: {\n          endpoint: server.endpoint,\n          reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,\n        },\n        continue: input.continue,\n        session: Option.getOrUndefined(input.session),\n        fork: input.fork,\n        model: Option.getOrUndefined(input.model),\n        agent: Option.getOrUndefined(input.agent),\n        prompt: Option.getOrUndefined(input.prompt),\n        replay: Option.getOrUndefined(input.replay) ?? resolved.mini?.replay ?? true,\n        replayLimit: Option.getOrUndefined(input.replayLimit) ?? resolved.mini?.replay_limit,\n        demo: input.demo,\n        tuiConfig: resolved,\n        config: {\n          update: (update) => runServicePromise(config.update(update)),\n        },\n      }),\n    )\n  }),\n)\n"
+  ],
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+  "debugId": "EDD4B8518F7D63FE64756E2164756E21",
+  "names": []
+}

bin/chunk-ce3p3ar2.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mcp/auth.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport {\n  OpenCode,\n  type IntegrationAttemptStatus,\n  type IntegrationOAuthMethod,\n  type OpenCodeClient,\n} from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.auth,\n  Effect.fn(\"cli.mcp.auth\")(function* (input) {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n    const integration = yield* resolveIntegration(client, input.name, location)\n    if (!integration)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n    const method = integration.methods.find(\n      (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n    )\n    if (!method)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n    const started = yield* Effect.promise(() =>\n      client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, inputs: {}, location }),\n    )\n    const attempt = started.data\n    if (attempt.mode === \"code\")\n      return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n    process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n    const result = yield* poll(client, integration.id, attempt.attemptID)\n    if (result.status === \"complete\") {\n      process.stdout.write(`Authenticated with ${input.name}` + EOL)\n      return\n    }\n    const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n    return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n  }),\n)\n\nconst poll = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n  Effect.gen(function* () {\n    const status = yield* Effect.promise(() =>\n      client.integration.oauth.status({ integrationID, attemptID, location }),\n    ).pipe(Effect.map((result) => result.data))\n    if (status.status === \"pending\") {\n      yield* Effect.sleep(\"1 second\")\n      return yield* poll(client, integrationID, attemptID)\n    }\n    return status\n  })\n"
+  ],
+  "mappings": ";66BAAA,mBAAS,gBAcT,SAAM,OAAW,MAAE,eAAW,aAAQ,SAAI,MAAE,OAE7B,SAAQ,aACrB,OAAS,cAAS,SAAI,cAAS,UAC/B,OAAO,QAAG,mBAAc,OAAE,cAAU,MAAC,OAAO,CAC1C,IAAM,EAAU,MAAO,EAAc,QAAQ,EAEvC,GADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAEpF,EAAc,MAAO,EAAmB,EAAQ,EAAM,KAAM,CAAQ,EAC1E,GAAI,CAAC,EACH,OAAO,MAAO,EAAO,KAAS,MAAM,eAAe,EAAM,6CAA6C,CAAC,EACzG,IAAM,EAAS,EAAY,QAAQ,KACjC,CAAC,IAAmD,EAAU,OAAS,OACzE,EACA,GAAI,CAAC,EACH,OAAO,MAAO,EAAO,KAAS,MAAM,eAAe,EAAM,6CAA6C,CAAC,EAKzG,IAAM,GAHU,MAAO,EAAO,QAAQ,IACpC,EAAO,YAAY,MAAM,QAAQ,CAAE,cAAe,EAAY,GAAI,SAAU,EAAO,GAAI,OAAQ,CAAC,EAAG,UAAS,CAAC,CAC/G,GACwB,KACxB,GAAI,EAAQ,OAAS,OACnB,OAAO,MAAO,EAAO,KAAS,MAAM,wEAAwE,CAAC,EAE/G,QAAQ,OAAO,MAAM,EAAQ,aAAe,EAAM,EAAQ,IAAM,CAAG,EAEnE,IAAM,EAAS,MAAO,EAAK,EAAQ,EAAY,GAAI,EAAQ,SAAS,EACpE,GAAI,EAAO,SAAW,WAAY,CAChC,QAAQ,OAAO,MAAM,sBAAsB,EAAM,OAAS,CAAG,EAC7D,OAEF,IAAM,EAAS,EAAO,SAAW,SAAW,KAAK,EAAO,UAAY,GACpE,OAAO,MAAO,EAAO,KAAS,MAAM,kBAAkB,EAAO,SAAS,GAAQ,CAAC,EAChF,CACH,EAEM,EAAO,CACX,EACA,EACA,IAEA,EAAO,IAAI,SAAU,EAAG,CACtB,IAAM,EAAS,MAAO,EAAO,QAAQ,IACnC,EAAO,YAAY,MAAM,OAAO,CAAE,gBAAe,YAAW,UAAS,CAAC,CACxE,EAAE,KAAK,EAAO,IAAI,CAAC,IAAW,EAAO,IAAI,CAAC,EAC1C,GAAI,EAAO,SAAW,UAEpB,OADA,MAAO,EAAO,MAAM,UAAU,EACvB,MAAO,EAAK,EAAQ,EAAe,CAAS,EAErD,OAAO,EACR",
+  "debugId": "EE05052744A78EDE64756E2164756E21",
+  "names": []
+}

bin/chunk-cps7b3qn.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/anthropic-messages.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  AIError,\n  LLMEvent,\n  mergeJsonRecords,\n  Usage,\n  type CacheHint,\n  type FinishReasonDetails,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderOptions,\n  type ProviderMetadata,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport * as Cache from \"./utils/cache\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"anthropic-messages\"\nconst MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\n\nexport type ThinkingInput =\n  | {\n      readonly type: \"adaptive\"\n      readonly display?: \"summarized\" | \"omitted\"\n    }\n  | {\n      readonly type: \"disabled\"\n    }\n  | ({ readonly type: \"enabled\" } & (\n      | { readonly budgetTokens: number; readonly budget_tokens?: number }\n      | { readonly budgetTokens?: number; readonly budget_tokens: number }\n    ))\n\nexport interface OptionsInput {\n  readonly [key: string]: unknown\n  readonly thinking?: ThinkingInput\n  readonly effort?: string\n}\n\nexport type ProviderOptionsInput = ProviderOptions & {\n  readonly anthropic?: OptionsInput\n}\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst AnthropicCacheControl = Schema.Struct({\n  type: Schema.tag(\"ephemeral\"),\n  ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n})\n\nconst AnthropicTextBlock = Schema.Struct({\n  type: Schema.tag(\"text\"),\n  text: Schema.String,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTextBlock = Schema.Schema.Type<typeof AnthropicTextBlock>\n\nconst AnthropicImageBlock = Schema.Struct({\n  type: Schema.tag(\"image\"),\n  source: Schema.Struct({\n    type: Schema.tag(\"base64\"),\n    media_type: Schema.String,\n    data: Schema.String,\n  }),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>\n\nconst AnthropicDocumentBlock = Schema.Struct({\n  type: Schema.tag(\"document\"),\n  source: Schema.Struct({\n    type: Schema.tag(\"base64\"),\n    media_type: Schema.Literal(\"application/pdf\"),\n    data: Schema.String,\n  }),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicDocumentBlock = Schema.Schema.Type<typeof AnthropicDocumentBlock>\n\nconst AnthropicThinkingBlock = Schema.Struct({\n  type: Schema.tag(\"thinking\"),\n  thinking: Schema.String,\n  signature: Schema.optional(Schema.String),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\n\n// Safety-filtered thinking arrives as an opaque encrypted `data` payload with\n// no visible text. It must round-trip verbatim so multi-turn thinking + tool\n// use conversations keep their reasoning continuity.\nconst AnthropicRedactedThinkingBlock = Schema.Struct({\n  type: Schema.tag(\"redacted_thinking\"),\n  data: Schema.String,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicToolUseBlock = Schema.Struct({\n  type: Schema.tag(\"tool_use\"),\n  id: Schema.String,\n  name: Schema.String,\n  input: Schema.Unknown,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicToolUseBlock = Schema.Schema.Type<typeof AnthropicToolUseBlock>\n\nconst AnthropicServerToolUseBlock = Schema.Struct({\n  type: Schema.tag(\"server_tool_use\"),\n  id: Schema.String,\n  name: Schema.String,\n  input: Schema.Unknown,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolUseBlock = Schema.Schema.Type<typeof AnthropicServerToolUseBlock>\n\n// Server tool result blocks: web_search_tool_result, code_execution_tool_result,\n// and web_fetch_tool_result. The provider executes the tool and inlines the\n// structured result into the assistant turn — there is no client tool_result\n// round-trip. We round-trip the structured `content` payload as opaque JSON so\n// the next request can echo it back when continuing the conversation.\nconst AnthropicServerToolResultType = Schema.Literals([\n  \"web_search_tool_result\",\n  \"code_execution_tool_result\",\n  \"web_fetch_tool_result\",\n])\ntype AnthropicServerToolResultType = Schema.Schema.Type<typeof AnthropicServerToolResultType>\n\nconst AnthropicServerToolResultBlock = Schema.Struct({\n  type: AnthropicServerToolResultType,\n  tool_use_id: Schema.String,\n  content: Schema.Unknown,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>\n\n// Anthropic accepts either a plain string or an ordered array of text, image, and\n// document blocks inside `tool_result.content`. The array form keeps media as native\n// model input instead of JSON-stringifying base64 into prompt text.\nconst AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicDocumentBlock])\n\nconst AnthropicToolResultBlock = Schema.Struct({\n  type: Schema.tag(\"tool_result\"),\n  tool_use_id: Schema.String,\n  content: Schema.Union([Schema.String, Schema.Array(AnthropicToolResultContent)]),\n  is_error: Schema.optional(Schema.Boolean),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicUserBlock = Schema.Union([\n  AnthropicTextBlock,\n  AnthropicImageBlock,\n  AnthropicDocumentBlock,\n  AnthropicToolResultBlock,\n])\ntype AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>\nconst AnthropicAssistantBlock = Schema.Union([\n  AnthropicTextBlock,\n  AnthropicThinkingBlock,\n  AnthropicRedactedThinkingBlock,\n  AnthropicToolUseBlock,\n  AnthropicServerToolUseBlock,\n  AnthropicServerToolResultBlock,\n])\ntype AnthropicAssistantBlock = Schema.Schema.Type<typeof AnthropicAssistantBlock>\ntype AnthropicToolResultBlock = Schema.Schema.Type<typeof AnthropicToolResultBlock>\n\nconst AnthropicMessage = Schema.Union([\n  Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(AnthropicUserBlock) }),\n  Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(AnthropicAssistantBlock) }),\n  Schema.Struct({ role: Schema.Literal(\"system\"), content: Schema.Array(AnthropicTextBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype AnthropicMessage = Schema.Schema.Type<typeof AnthropicMessage>\n\nconst AnthropicTool = Schema.Struct({\n  name: Schema.String,\n  description: Schema.String,\n  input_schema: JsonObject,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTool = Schema.Schema.Type<typeof AnthropicTool>\n\nconst AnthropicToolChoice = Schema.Union([\n  Schema.Struct({ type: Schema.Literals([\"auto\", \"any\", \"none\"]) }),\n  Schema.Struct({ type: Schema.tag(\"tool\"), name: Schema.String }),\n])\n\nconst AnthropicThinking = Schema.Union([\n  Schema.Struct({\n    type: Schema.tag(\"enabled\"),\n    budget_tokens: Schema.Number,\n  }),\n  Schema.Struct({\n    type: Schema.tag(\"adaptive\"),\n    display: Schema.optional(Schema.Literals([\"summarized\", \"omitted\"])),\n  }),\n  Schema.Struct({\n    type: Schema.tag(\"disabled\"),\n  }),\n])\n\nconst AnthropicOutputConfig = Schema.Struct({\n  effort: Schema.optional(Schema.String),\n})\n\nconst AnthropicBodyFields = {\n  model: Schema.String,\n  system: optionalArray(AnthropicTextBlock),\n  messages: Schema.Array(AnthropicMessage),\n  tools: optionalArray(AnthropicTool),\n  tool_choice: Schema.optional(AnthropicToolChoice),\n  stream: Schema.Literal(true),\n  max_tokens: Schema.Number,\n  temperature: Schema.optional(Schema.Number),\n  top_p: Schema.optional(Schema.Number),\n  top_k: Schema.optional(Schema.Number),\n  stop_sequences: optionalArray(Schema.String),\n  thinking: Schema.optional(AnthropicThinking),\n  output_config: Schema.optional(AnthropicOutputConfig),\n}\nexport const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)\nexport type AnthropicMessagesBody = Schema.Schema.Type<typeof AnthropicMessagesBody>\n\nconst AnthropicUsage = Schema.StructWithRest(\n  Schema.Struct({\n    input_tokens: Schema.optional(Schema.Number),\n    output_tokens: Schema.optional(Schema.Number),\n    cache_creation_input_tokens: optionalNull(Schema.Number),\n    cache_read_input_tokens: optionalNull(Schema.Number),\n    server_tool_use: optionalNull(\n      Schema.StructWithRest(Schema.Struct({ web_search_requests: Schema.optional(Schema.Number) }), [\n        Schema.Record(Schema.String, Schema.Unknown),\n      ]),\n    ),\n    output_tokens_details: optionalNull(\n      Schema.StructWithRest(Schema.Struct({ thinking_tokens: Schema.optional(Schema.Number) }), [\n        Schema.Record(Schema.String, Schema.Unknown),\n      ]),\n    ),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype AnthropicUsage = Schema.Schema.Type<typeof AnthropicUsage>\n\nconst AnthropicStreamBlock = Schema.Struct({\n  type: Schema.String,\n  id: Schema.optional(Schema.String),\n  name: Schema.optional(Schema.String),\n  text: Schema.optional(Schema.String),\n  thinking: Schema.optional(Schema.String),\n  signature: Schema.optional(Schema.String),\n  // redacted_thinking blocks arrive whole in content_block_start with the\n  // encrypted payload in `data`; there is no streaming delta sequence.\n  data: Schema.optional(Schema.String),\n  input: Schema.optional(Schema.Unknown),\n  // *_tool_result blocks arrive whole as content_block_start (no streaming\n  // delta) with the structured payload in `content` and the originating\n  // server_tool_use id in `tool_use_id`.\n  tool_use_id: Schema.optional(Schema.String),\n  content: Schema.optional(Schema.Unknown),\n})\n\nconst AnthropicStreamDelta = Schema.Struct({\n  type: Schema.optional(Schema.String),\n  text: Schema.optional(Schema.String),\n  thinking: Schema.optional(Schema.String),\n  partial_json: Schema.optional(Schema.String),\n  signature: Schema.optional(Schema.String),\n  stop_reason: optionalNull(Schema.String),\n  stop_sequence: optionalNull(Schema.String),\n})\n\nconst AnthropicEvent = Schema.Struct({\n  type: Schema.String,\n  index: Schema.optional(Schema.Number),\n  message: Schema.optional(Schema.Struct({ usage: Schema.optional(AnthropicUsage) })),\n  content_block: Schema.optional(AnthropicStreamBlock),\n  delta: Schema.optional(AnthropicStreamDelta),\n  usage: Schema.optional(AnthropicUsage),\n  // `type` and `message` are both required per Anthropic's spec, but\n  // OpenAI-compatible proxies and gateway translations occasionally drop one\n  // or the other; mark them optional so a partial payload still parses and\n  // the parser can fall back to whichever field is populated.\n  error: Schema.optional(\n    Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),\n  ),\n})\ntype AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>\n\ninterface ParserState {\n  readonly tools: ToolStream.State<number>\n  readonly reasoningSignatures: Readonly<Record<number, string>>\n  readonly usage?: Usage\n  readonly pendingFinish?: {\n    readonly reason: FinishReasonDetails\n    readonly providerMetadata?: ProviderMetadata\n  }\n  readonly lifecycle: Lifecycle.State\n}\n\nconst invalid = ProviderShared.invalidRequest\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Anthropic accepts at most 4 explicit cache_control breakpoints per request,\n// across `tools`, `system`, and `messages`. Beyond the cap the API returns a\n// 400 — so the lowering layer counts emitted markers and silently drops any\n// that exceed it.\nconst ANTHROPIC_BREAKPOINT_CAP = 4\n\nconst EPHEMERAL_5M = { type: \"ephemeral\" as const }\nconst EPHEMERAL_1H = { type: \"ephemeral\" as const, ttl: \"1h\" as const }\n\nconst cacheControl = (breakpoints: Cache.Breakpoints, cache: CacheHint | undefined) => {\n  if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n  if (breakpoints.remaining <= 0) {\n    breakpoints.dropped += 1\n    return undefined\n  }\n  breakpoints.remaining -= 1\n  return Cache.ttlBucket(cache.ttlSeconds) === \"1h\" ? EPHEMERAL_1H : EPHEMERAL_5M\n}\n\nconst anthropicMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ anthropic: metadata })\n\nconst signatureFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n  const anthropic = metadata?.anthropic\n  if (!ProviderShared.isRecord(anthropic)) return undefined\n  return typeof anthropic.signature === \"string\" ? anthropic.signature : undefined\n}\n\nconst redactedDataFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n  const anthropic = metadata?.anthropic\n  if (!ProviderShared.isRecord(anthropic)) return undefined\n  return typeof anthropic.redactedData === \"string\" ? anthropic.redactedData : undefined\n}\n\nconst lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition, inputSchema: JsonSchema): AnthropicTool => ({\n  name: tool.name,\n  description: tool.description,\n  input_schema: inputSchema,\n  cache_control: cacheControl(breakpoints, tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Anthropic Messages\", toolChoice, {\n    auto: () => ({ type: \"auto\" as const }),\n    none: () => ({ type: \"none\" as const }),\n    required: () => ({ type: \"any\" as const }),\n    tool: (name) => ({ type: \"tool\" as const, name }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n  type: \"tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n  type: \"server_tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\n// Server tool result blocks are typed by name. Anthropic ships three today;\n// extend this list when new server tools land. The block content is the\n// structured payload returned by the provider, which we round-trip as-is.\nconst serverToolResultType = (name: string): AnthropicServerToolResultType | undefined => {\n  if (name === \"web_search\") return \"web_search_tool_result\"\n  if (name === \"code_execution\") return \"code_execution_tool_result\"\n  if (name === \"web_fetch\") return \"web_fetch_tool_result\"\n  return undefined\n}\n\nconst lowerServerToolResult = Effect.fn(\"AnthropicMessages.lowerServerToolResult\")(function* (part: ToolResultPart) {\n  const wireType = serverToolResultType(part.name)\n  if (!wireType)\n    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)\n  // Prefer the provider-owned replay payload; fall back to the result value for\n  // histories constructed directly from provider events.\n  const payload = part.providerMetadata?.anthropic?.[\"result\"] ?? part.result.value\n  return { type: wireType, tool_use_id: part.id, content: payload } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerMedia = Effect.fn(\"AnthropicMessages.lowerMedia\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\"Anthropic Messages\", part, MEDIA_MIMES)\n  if (media.mime === \"application/pdf\")\n    return {\n      type: \"document\" as const,\n      source: {\n        type: \"base64\" as const,\n        media_type: \"application/pdf\" as const,\n        data: media.base64,\n      },\n    } satisfies AnthropicDocumentBlock\n  return {\n    type: \"image\" as const,\n    source: {\n      type: \"base64\" as const,\n      media_type: media.mime,\n      data: media.base64,\n    },\n  } satisfies AnthropicImageBlock\n})\n\n// Tool results may carry structured text, images, and documents. Keep media as provider-native\n// content instead of JSON-stringifying base64 into a prompt string.\nconst lowerToolResultContentItem = Effect.fn(\"AnthropicMessages.lowerToolResultContentItem\")(function* (\n  item: Tool.Content,\n) {\n  if (item.type === \"text\") return { type: \"text\" as const, text: item.text } satisfies AnthropicTextBlock\n  return yield* lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name })\n})\n\nconst lowerToolResultContent = Effect.fn(\"AnthropicMessages.lowerToolResultContent\")(function* (part: ToolResultPart) {\n  // Text / json / error results stay as a string for backward compatibility\n  // with existing cassettes and provider expectations.\n  if (part.result.type !== \"content\") return ProviderShared.toolResultText(part)\n  // Preserve the narrowed array element type when compiled through a consumer package.\n  const content: ReadonlyArray<Tool.Content> = part.result.value\n  return yield* Effect.forEach(content, lowerToolResultContentItem)\n})\n\n// Mid-conversation system messages are a native Claude API feature only for\n// Opus 4.8. Other Anthropic models intentionally use the same visible wrapped-\n// user fallback as non-Anthropic routes rather than sending a role they reject.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => String(request.model.id) === \"claude-opus-4-8\"\n\nconst endsInServerToolUse = (message: LLMRequest[\"messages\"][number]) => {\n  const last = message.content.at(-1)\n  return message.role === \"assistant\" && last?.type === \"tool-call\" && last.providerExecuted === true\n}\n\nconst canUseNativeSystemUpdate = (messages: LLMRequest[\"messages\"], index: number) => {\n  const previous = messages[index - 1]\n  const next = messages[index + 1]\n  return (\n    previous !== undefined &&\n    previous.role !== \"system\" &&\n    (previous.role === \"user\" || previous.role === \"tool\" || endsInServerToolUse(previous)) &&\n    next?.role !== \"system\" &&\n    (next === undefined || next.role === \"assistant\")\n  )\n}\n\nconst splitsLocalToolResults = (messages: LLMRequest[\"messages\"], index: number) => {\n  const pending = new Set<string>()\n  for (const message of messages.slice(0, index)) {\n    for (const part of message.content) {\n      if (message.role === \"assistant\" && part.type === \"tool-call\" && part.providerExecuted !== true)\n        pending.add(part.id)\n      if (message.role === \"tool\" && part.type === \"tool-result\") pending.delete(part.id)\n    }\n  }\n  return pending.size > 0\n}\n\nconst lowerNativeSystemUpdate = Effect.fn(\"AnthropicMessages.lowerNativeSystemUpdate\")(function* (\n  message: LLMRequest[\"messages\"][number],\n  breakpoints: Cache.Breakpoints,\n) {\n  const content = yield* ProviderShared.systemUpdateText(\"Anthropic Messages\", message)\n  return {\n    role: \"system\" as const,\n    content: content.map((part) => ({\n      type: \"text\" as const,\n      text: part.text,\n      cache_control: cacheControl(breakpoints, part.cache),\n    })),\n  }\n})\n\nconst lowerMessages = Effect.fn(\"AnthropicMessages.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: Cache.Breakpoints,\n) {\n  const messages: AnthropicMessage[] = []\n\n  for (const [index, message] of request.messages.entries()) {\n    if (message.role === \"system\") {\n      if (splitsLocalToolResults(request.messages, index))\n        return yield* invalid(\"Anthropic Messages system updates cannot split a local tool call from its tool result\")\n      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {\n        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))\n        continue\n      }\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Anthropic Messages\", message)\n      const block = { type: \"text\" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, block] }\n      else messages.push({ role: \"user\", content: [block] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: AnthropicUserBlock[] = []\n      for (const part of message.content) {\n        if (part.type === \"text\") {\n          content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* lowerMedia(part))\n          continue\n        }\n        return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"user\", [\"text\", \"media\"])\n      }\n      messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const content: AnthropicAssistantBlock[] = []\n      for (const part of message.content) {\n        if (part.type === \"text\") {\n          content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          // Mirrors Vercel's @ai-sdk/anthropic: a signature marks visible\n          // thinking; only signature-less parts carrying redactedData\n          // round-trip as opaque redacted_thinking blocks.\n          const signature = part.encrypted ?? signatureFromMetadata(part.providerMetadata)\n          const redactedData = redactedDataFromMetadata(part.providerMetadata)\n          if (signature === undefined && redactedData !== undefined) {\n            content.push({ type: \"redacted_thinking\", data: redactedData })\n            continue\n          }\n          content.push({ type: \"thinking\", thinking: part.text, signature })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(part.providerExecuted ? lowerServerToolCall(part) : lowerToolCall(part))\n          continue\n        }\n        if (part.type === \"tool-result\" && part.providerExecuted) {\n          content.push(yield* lowerServerToolResult(part))\n          continue\n        }\n        return yield* invalid(\n          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,\n        )\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: AnthropicToolResultBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"tool\", [\"tool-result\"])\n      content.push({\n        type: \"tool_result\",\n        tool_use_id: part.id,\n        content: yield* lowerToolResultContent(part),\n        is_error: part.result.type === \"error\" ? true : undefined,\n        cache_control: cacheControl(breakpoints, part.cache),\n      })\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\nconst resolveOptions = Effect.fn(\"AnthropicMessages.resolveOptions\")(function* (request: LLMRequest) {\n  const input = request.providerOptions?.anthropic\n  return {\n    thinking: yield* resolveThinking(input?.thinking),\n    effort: typeof input?.effort === \"string\" ? input.effort : undefined,\n  }\n})\n\nconst resolveThinking = Effect.fn(\"AnthropicMessages.resolveThinking\")(function* (input: unknown) {\n  if (!ProviderShared.isRecord(input)) return undefined\n  if (input.type === \"adaptive\") {\n    const display =\n      input.display === \"summarized\"\n        ? (\"summarized\" as const)\n        : input.display === \"omitted\"\n          ? (\"omitted\" as const)\n          : undefined\n    return { type: \"adaptive\" as const, ...(display === undefined ? {} : { display }) }\n  }\n  if (input.type === \"disabled\") return { type: \"disabled\" as const }\n  if (input.type !== \"enabled\") return undefined\n  const budget =\n    typeof input.budgetTokens === \"number\"\n      ? input.budgetTokens\n      : typeof input.budget_tokens === \"number\"\n        ? input.budget_tokens\n        : undefined\n  if (budget === undefined)\n    return yield* ProviderShared.invalidRequest(\"Anthropic thinking provider option requires budgetTokens\")\n  return { type: \"enabled\" as const, budget_tokens: budget }\n})\n\nconst fromRequest = Effect.fn(\"AnthropicMessages.fromRequest\")(function* (request: LLMRequest) {\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const outputLimit = request.model.defaults?.limits?.output ?? request.model.route.defaults.limits?.output ?? 4096\n  // Allocate the 4-breakpoint budget in invalidation order: tools → system →\n  // messages. Tools live highest in the cache hierarchy, so when callers\n  // over-mark we keep their tool hints and shed the message-tail ones first.\n  const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)\n  const tools =\n    request.tools.length === 0\n      ? undefined\n      : request.tools.map((tool) =>\n          lowerTool(\n            breakpoints,\n            tool,\n            ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n          ),\n        )\n  // Anthropic rejects tool_choice when tools are absent; \"none\" is only meaningful with tools present.\n  const toolChoice = tools === undefined || !request.toolChoice ? undefined : yield* lowerToolChoice(request.toolChoice)\n  const system =\n    request.system.length === 0\n      ? undefined\n      : request.system.map((part) => ({\n          type: \"text\" as const,\n          text: part.text,\n          cache_control: cacheControl(breakpoints, part.cache),\n        }))\n  const messages = yield* lowerMessages(request, breakpoints)\n  if (breakpoints.dropped > 0) {\n    yield* Effect.logWarning(\n      `Anthropic Messages: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${ANTHROPIC_BREAKPOINT_CAP} per request.`,\n    )\n  }\n  const options = yield* resolveOptions(request)\n  return {\n    model: request.model.id,\n    system,\n    messages,\n    tools,\n    tool_choice: toolChoice,\n    stream: true as const,\n    max_tokens: generation?.maxTokens ?? outputLimit,\n    temperature: generation?.temperature,\n    top_p: generation?.topP,\n    top_k: generation?.topK,\n    stop_sequences: generation?.stop,\n    thinking: options.thinking,\n    output_config: options.effort === undefined ? undefined : { effort: options.effort },\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n  if (reason === \"end_turn\" || reason === \"stop_sequence\" || reason === \"pause_turn\") return \"stop\"\n  if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n  if (reason === \"tool_use\") return \"tool-calls\"\n  if (reason === \"refusal\") return \"content-filter\"\n  return \"unknown\"\n}\n\n// Anthropic reports the non-overlapping breakdown natively — its\n// `input_tokens` is the *non-cached* count per the Messages API docs, with\n// cache reads and writes as separate fields. We sum them to derive the\n// inclusive `inputTokens` the rest of the contract expects. Extended\n// thinking tokens are included in `output_tokens`; newer responses also\n// expose that subset through `output_tokens_details.thinking_tokens`.\nconst mapUsage = (usage: AnthropicUsage | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const nonCached = usage.input_tokens\n  const cacheRead = usage.cache_read_input_tokens ?? undefined\n  const cacheWrite = usage.cache_creation_input_tokens ?? undefined\n  const inputTokens = ProviderShared.sumTokens(nonCached, cacheRead, cacheWrite)\n  return new Usage({\n    inputTokens,\n    outputTokens: usage.output_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cacheRead,\n    cacheWriteInputTokens: cacheWrite,\n    reasoningTokens: usage.output_tokens_details?.thinking_tokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, usage.output_tokens, undefined),\n    providerMetadata: { anthropic: usage },\n  })\n}\n\n// Anthropic emits usage on `message_start` and again on `message_delta` — the\n// final delta carries the authoritative totals. Right-biased merge: each\n// field prefers `right` when defined, falls back to `left`. `inputTokens` is\n// recomputed from the merged breakdown so the inclusive total stays\n// consistent with `nonCached + cacheRead + cacheWrite`.\nconst mergeUsage = (left: Usage | undefined, right: Usage | undefined) => {\n  if (!left) return right\n  if (!right) return left\n  const nonCachedInputTokens = right.nonCachedInputTokens ?? left.nonCachedInputTokens\n  const cacheReadInputTokens = right.cacheReadInputTokens ?? left.cacheReadInputTokens\n  const cacheWriteInputTokens = right.cacheWriteInputTokens ?? left.cacheWriteInputTokens\n  const inputTokens = ProviderShared.sumTokens(nonCachedInputTokens, cacheReadInputTokens, cacheWriteInputTokens)\n  const outputTokens = right.outputTokens ?? left.outputTokens\n  const reasoningTokens = right.reasoningTokens ?? left.reasoningTokens\n  return new Usage({\n    inputTokens,\n    outputTokens,\n    nonCachedInputTokens,\n    cacheReadInputTokens,\n    cacheWriteInputTokens,\n    reasoningTokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, outputTokens, undefined),\n    providerMetadata: {\n      anthropic: mergeJsonRecords(left.providerMetadata?.[\"anthropic\"], right.providerMetadata?.[\"anthropic\"]) ?? {},\n    },\n  })\n}\n\n// Server tool result blocks come whole in `content_block_start` (no streaming\n// delta sequence). We convert the payload to a `tool-result` event with\n// `providerExecuted: true`. The runtime appends it to the assistant message\n// for round-trip; downstream consumers can inspect `result.value` for the\n// structured payload.\nconst SERVER_TOOL_RESULT_NAMES: Record<AnthropicServerToolResultType, string> = {\n  web_search_tool_result: \"web_search\",\n  code_execution_tool_result: \"code_execution\",\n  web_fetch_tool_result: \"web_fetch\",\n}\n\nconst isServerToolResultType = (type: string): type is AnthropicServerToolResultType => type in SERVER_TOOL_RESULT_NAMES\n\nconst serverToolResultEvent = (block: NonNullable<AnthropicEvent[\"content_block\"]>): LLMEvent | undefined => {\n  if (!block.type || !isServerToolResultType(block.type)) return undefined\n  const errorPayload =\n    typeof block.content === \"object\" && block.content !== null && \"type\" in block.content\n      ? String((block.content as Record<string, unknown>).type)\n      : \"\"\n  const isError = errorPayload.endsWith(\"_tool_result_error\")\n  return LLMEvent.toolResult({\n    id: block.tool_use_id ?? \"\",\n    name: SERVER_TOOL_RESULT_NAMES[block.type],\n    result: isError ? { type: \"error\", value: block.content } : { type: \"json\", value: block.content },\n    providerExecuted: true,\n    // The complete payload is irreducible provider replay state: subsequent\n    // stateless requests must round-trip the typed result block verbatim.\n    providerMetadata: anthropicMetadata({ blockType: block.type, result: block.content }),\n  })\n}\n\ntype StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]\n\nconst NO_EVENTS: StepResult[\"1\"] = []\n\nconst onMessageStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const usage = mapUsage(event.message?.usage)\n  return [usage ? { ...state, usage: mergeUsage(state.usage, usage) } : state, NO_EVENTS]\n}\n\nconst onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const block = event.content_block\n  if (!block) return [state, NO_EVENTS]\n\n  if ((block.type === \"tool_use\" || block.type === \"server_tool_use\") && event.index !== undefined) {\n    const events: LLMEvent[] = []\n    const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n    return [\n      {\n        ...state,\n        lifecycle,\n        tools: ToolStream.start(state.tools, event.index, {\n          id: block.id ?? String(event.index),\n          name: block.name ?? \"\",\n          input:\n            block.input !== undefined && (!ProviderShared.isRecord(block.input) || Object.keys(block.input).length > 0)\n              ? ProviderShared.encodeJson(block.input)\n              : undefined,\n          providerExecuted: block.type === \"server_tool_use\",\n        }),\n      },\n      [\n        ...events,\n        LLMEvent.toolInputStart({\n          id: block.id ?? String(event.index),\n          name: block.name ?? \"\",\n          providerExecuted: block.type === \"server_tool_use\" ? true : undefined,\n        }),\n      ],\n    ]\n  }\n\n  if (block.type === \"text\" && block.text !== undefined) {\n    const events: LLMEvent[] = []\n    const id = `text-${event.index ?? 0}`\n    const lifecycle = Lifecycle.textStart(state.lifecycle, events, id)\n    return [\n      { ...state, lifecycle: block.text ? Lifecycle.textDelta(lifecycle, events, id, block.text) : lifecycle },\n      events,\n    ]\n  }\n\n  if (block.type === \"thinking\" && block.thinking !== undefined) {\n    const events: LLMEvent[] = []\n    const id = `reasoning-${event.index ?? 0}`\n    const providerMetadata =\n      block.signature === undefined ? undefined : anthropicMetadata({ signature: block.signature })\n    const lifecycle = Lifecycle.reasoningStart(state.lifecycle, events, id, providerMetadata)\n    return [\n      {\n        ...state,\n        lifecycle: block.thinking\n          ? Lifecycle.reasoningDelta(lifecycle, events, id, block.thinking, providerMetadata)\n          : lifecycle,\n        reasoningSignatures:\n          event.index === undefined || block.signature === undefined\n            ? state.reasoningSignatures\n            : { ...state.reasoningSignatures, [event.index]: block.signature },\n      },\n      events,\n    ]\n  }\n\n  // Redacted thinking surfaces as an empty reasoning part carrying the opaque\n  // payload as `redactedData` metadata (same model as Vercel's\n  // @ai-sdk/anthropic). The existing content_block_stop closes the part.\n  if (block.type === \"redacted_thinking\" && block.data !== undefined) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningStart(\n          state.lifecycle,\n          events,\n          `reasoning-${event.index ?? 0}`,\n          anthropicMetadata({ redactedData: block.data }),\n        ),\n      },\n      events,\n    ]\n  }\n\n  const result = serverToolResultEvent(block)\n  if (!result) return [state, NO_EVENTS]\n  const events: LLMEvent[] = []\n  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]\n}\n\nconst onContentBlockDelta = Effect.fn(\"AnthropicMessages.onContentBlockDelta\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  const delta = event.delta\n\n  if (delta?.type === \"text_delta\" && delta.text) {\n    const events: LLMEvent[] = []\n    return [\n      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${event.index ?? 0}`, delta.text) },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"thinking_delta\" && delta.thinking) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${event.index ?? 0}`, delta.thinking),\n      },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"signature_delta\" && delta.signature) {\n    const index = event.index ?? 0\n    return [\n      {\n        ...state,\n        reasoningSignatures: { ...state.reasoningSignatures, [index]: delta.signature },\n      },\n      NO_EVENTS,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"input_json_delta\" && event.index !== undefined) {\n    if (!delta.partial_json) return [state, NO_EVENTS] satisfies StepResult\n    const result = ToolStream.appendExisting(\n      ADAPTER,\n      state.tools,\n      event.index,\n      delta.partial_json,\n      \"Anthropic Messages tool argument delta is missing its tool call\",\n    )\n    if (ToolStream.isError(result)) return yield* result\n    const events: LLMEvent[] = []\n    const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n    events.push(...result.events)\n    return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n  }\n\n  return [state, NO_EVENTS] satisfies StepResult\n})\n\nconst onContentBlockStop = Effect.fn(\"AnthropicMessages.onContentBlockStop\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  if (event.index === undefined) return [state, NO_EVENTS] satisfies StepResult\n  const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)\n  const events: LLMEvent[] = []\n  const resultEvents = result.events ?? []\n  const signature = state.reasoningSignatures[event.index]\n  const lifecycle = resultEvents.length\n    ? Lifecycle.stepStart(state.lifecycle, events)\n    : Lifecycle.reasoningEnd(\n        Lifecycle.textEnd(state.lifecycle, events, `text-${event.index}`),\n        events,\n        `reasoning-${event.index}`,\n        signature === undefined ? undefined : anthropicMetadata({ signature }),\n      )\n  events.push(...resultEvents)\n  const reasoningSignatures = { ...state.reasoningSignatures }\n  delete reasoningSignatures[event.index]\n  return [{ ...state, lifecycle, tools: result.tools, reasoningSignatures }, events] satisfies StepResult\n})\n\nconst onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const usage = mergeUsage(state.usage, mapUsage(event.usage))\n  return [\n    {\n      ...state,\n      usage,\n      pendingFinish: {\n        reason: {\n          normalized: mapFinishReason(event.delta?.stop_reason),\n          raw: event.delta?.stop_reason ?? undefined,\n        },\n        providerMetadata:\n          event.delta?.stop_sequence === null || event.delta?.stop_sequence === undefined\n            ? undefined\n            : anthropicMetadata({ stopSequence: event.delta.stop_sequence }),\n      },\n    },\n    NO_EVENTS,\n  ]\n}\n\nconst onMessageStop = (state: ParserState): StepResult => {\n  const events: LLMEvent[] = []\n  const lifecycle = Lifecycle.finish(state.lifecycle, events, {\n    reason: state.pendingFinish?.reason ?? {\n      normalized: \"unknown\",\n      raw: undefined,\n    },\n    usage: state.usage,\n    providerMetadata: state.pendingFinish?.providerMetadata,\n  })\n  return [{ ...state, lifecycle }, events]\n}\n\n// Prefix `error.type` so overloads, rate limits, and quota errors are visible\n// even when the provider message is generic or empty.\nconst providerErrorMessage = (event: AnthropicEvent): string => {\n  const type = event.error?.type\n  const message = event.error?.message\n  if (type && message) return `${type}: ${message}`\n  return message || type || \"Anthropic Messages stream error\"\n}\n\nconst onError = (event: AnthropicEvent) =>\n  new AIError({\n    module: ADAPTER,\n    method: \"stream\",\n    reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }),\n  })\n\nconst step = (state: ParserState, event: AnthropicEvent) => {\n  if (event.type === \"message_start\") return Effect.succeed(onMessageStart(state, event))\n  if (event.type === \"content_block_start\") return Effect.succeed(onContentBlockStart(state, event))\n  if (event.type === \"content_block_delta\") return onContentBlockDelta(state, event)\n  if (event.type === \"content_block_stop\") return onContentBlockStop(state, event)\n  if (event.type === \"message_delta\") return Effect.succeed(onMessageDelta(state, event))\n  if (event.type === \"message_stop\") return Effect.succeed(onMessageStop(state))\n  if (event.type === \"error\") return onError(event)\n  return Effect.succeed<StepResult>([state, NO_EVENTS])\n}\n\n// =============================================================================\n// Protocol And Anthropic Route\n// =============================================================================\n/**\n * The Anthropic Messages protocol — request body construction, body schema,\n * and the streaming-event state machine. Used by native Anthropic Cloud and\n * (once registered) Vertex Anthropic / Bedrock-hosted Anthropic passthrough.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: AnthropicMessagesBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(AnthropicEvent),\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      reasoningSignatures: {},\n      lifecycle: Lifecycle.initial(),\n    }),\n    step,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"anthropic\",\n  providerMetadataKey: \"anthropic\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  framing: Framing.sse,\n  headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages\"\n"
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+  "debugId": "5804F5C11560E15964756E2164756E21",
+  "names": []
+}

bin/chunk-d31c1s8y.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/xai-images.ts", "../ai/src/providers/xai.ts"],
+  "sourcesContent": [
+    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema\"\nimport { ProviderShared, optionalNull } from \"./shared\"\nimport { ImageInputs } from \"./utils/image-input\"\n\nconst ADAPTER = \"xai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.x.ai/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type XAIImageString<Known extends string> = Known | (string & {})\n\nexport type XAIImageOptions = {\n  readonly n?: number\n  readonly aspectRatio?: XAIImageString<\n    | \"1:1\"\n    | \"3:4\"\n    | \"4:3\"\n    | \"9:16\"\n    | \"16:9\"\n    | \"2:3\"\n    | \"3:2\"\n    | \"9:19.5\"\n    | \"19.5:9\"\n    | \"9:20\"\n    | \"20:9\"\n    | \"1:2\"\n    | \"2:1\"\n    | \"auto\"\n  >\n  readonly aspect_ratio?: XAIImageString<\n    | \"1:1\"\n    | \"3:4\"\n    | \"4:3\"\n    | \"9:16\"\n    | \"16:9\"\n    | \"2:3\"\n    | \"3:2\"\n    | \"9:19.5\"\n    | \"19.5:9\"\n    | \"9:20\"\n    | \"20:9\"\n    | \"1:2\"\n    | \"2:1\"\n    | \"auto\"\n  >\n  readonly resolution?: XAIImageString<\"1k\" | \"2k\">\n  readonly responseFormat?: XAIImageString<\"url\" | \"b64_json\">\n  readonly response_format?: XAIImageString<\"url\" | \"b64_json\">\n} & Record<string, unknown>\n\ntype XAIImageBody = Record<string, unknown> & {\n  readonly model: string\n  readonly prompt: string\n}\n\nconst XAIImageResponse = Schema.Struct({\n  data: Schema.Array(\n    Schema.Struct({\n      b64_json: optionalNull(Schema.String),\n      url: optionalNull(Schema.String),\n      revised_prompt: optionalNull(Schema.String),\n      mime_type: optionalNull(Schema.String),\n    }),\n  ),\n  usage: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n  readonly id: string\n  readonly auth: AuthDefinition\n  readonly baseURL?: string\n  readonly headers?: Record<string, string>\n  readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: XAIImageOptions | undefined) => {\n  if (!options) return undefined\n  const { aspectRatio, responseFormat, ...native } = options\n  return {\n    aspect_ratio: aspectRatio,\n    response_format: responseFormat,\n    ...native,\n  }\n}\n\nconst invalidOutput = (message: string) =>\n  new AIError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute<XAIImageOptions> = {\n    id: ADAPTER,\n    generate: Effect.fn(\"XAIImages.generate\")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {\n      const http = mergeHttpOptions(request.model.http, request.http)\n      const imageReferences = (request.images ?? []).map((image) => {\n        if (image.type === \"bytes\") return { url: ImageInputs.dataUrl(image), type: \"image_url\" as const }\n        if (image.type === \"url\") return { url: image.url, type: \"image_url\" as const }\n        if (image.type === \"file-id\") return { file_id: image.id }\n        return undefined\n      })\n      if (imageReferences.some((image) => image === undefined))\n        return yield* ImageInputs.invalid(ADAPTER, \"xAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n      const requestBody = mergeJsonRecords(\n        {\n          model: request.model.id,\n          prompt: request.prompt,\n          image: imageReferences.length === 1 ? imageReferences[0] : undefined,\n          images: imageReferences.length > 1 ? imageReferences : undefined,\n        },\n        nativeOptions(request.options),\n        http?.body,\n      ) as XAIImageBody\n      const text = ProviderShared.encodeJson(requestBody)\n      const url = applyQuery(\n        `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${imageReferences.length === 0 ? PATH : EDIT_PATH}`,\n        http?.query,\n      )\n      const headers = yield* Auth.toEffect(input.auth)({\n        request,\n        method: \"POST\",\n        url,\n        body: text,\n        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n      })\n      const response = yield* execute(\n        HttpClientRequest.post(url).pipe(\n          HttpClientRequest.setHeaders(headers),\n          HttpClientRequest.bodyText(text, \"application/json\"),\n        ),\n      )\n      const payload = yield* response.json.pipe(\n        Effect.mapError(() => invalidOutput(\"Failed to read the xAI Images response\")),\n      )\n      const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(\n        Effect.mapError(() => invalidOutput(\"xAI Images returned an invalid response\")),\n      )\n      const images = yield* Effect.forEach(decoded.data, (item, index) => {\n        const mediaType = item.mime_type ?? \"application/octet-stream\"\n        if (item.b64_json)\n          return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n            Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),\n            Effect.map(\n              (data) =>\n                new GeneratedImage({\n                  mediaType,\n                  data,\n                  providerMetadata:\n                    item.revised_prompt === undefined || item.revised_prompt === null\n                      ? undefined\n                      : { xai: { revisedPrompt: item.revised_prompt } },\n                }),\n            ),\n          )\n        if (item.url)\n          return Effect.succeed(\n            new GeneratedImage({\n              mediaType,\n              data: item.url,\n              providerMetadata:\n                item.revised_prompt === undefined || item.revised_prompt === null\n                  ? undefined\n                  : { xai: { revisedPrompt: item.revised_prompt } },\n            }),\n          )\n        return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))\n      })\n      if (images.length === 0) return yield* invalidOutput(\"xAI Images returned no images\")\n      const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined\n      return new ImageResponse({\n        images,\n        usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),\n        providerMetadata: usage === undefined ? undefined : { xai: { usage } },\n      })\n    }),\n  }\n  return ImageModel.make<XAIImageOptions>({ id: input.id, provider: \"xai\", route, http: input.http })\n}\n\nexport const XAIImages = {\n  model,\n} as const\n",
+    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport { Route, type RouteDefaultsInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { HttpOptions, ProviderID, type ModelID, type ProviderOptions } from \"../schema\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { XAIImages } from \"../protocols/xai-images\"\nimport type { OpenAIOptionsInput } from \"./openai-options\"\nimport type { ProviderPackage } from \"../provider-package\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = ProviderOptions & {\n  readonly xai?: OpenAIOptionsInput\n}\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: XAIProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: XAIProviderOptionsInput\n}\n\nexport type { XAIImageOptions } from \"../protocols/xai-images\"\n\nconst responsesRoute = Route.make({\n  id: \"openai-responses\",\n  provider: id,\n  providerMetadataKey: \"xai\",\n  protocol: OpenAIResponses.protocol,\n  endpoint: Endpoint.path(\"/responses\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n  transport: OpenAIResponses.httpTransport,\n  defaults: { providerOptions: { xai: { store: false } } },\n})\n\nconst chatRoute = Route.make({\n  id: \"openai-compatible-chat\",\n  provider: id,\n  providerMetadataKey: \"xai\",\n  protocol: OpenAIChat.protocol,\n  endpoint: Endpoint.path(\"/chat/completions\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n  transport: OpenAICompatibleChat.route.transport,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: LanguageModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return responsesRoute.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nconst configuredChatRoute = (input: LanguageModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return chatRoute.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n  const responsesRoute = configuredResponsesRoute(input)\n  const chatRoute = configuredChatRoute(input)\n  const responses = (modelID: string | ModelID) => responsesRoute.model<XAIProviderOptionsInput>({ id: modelID })\n  const chat = (modelID: string | ModelID) => chatRoute.model<XAIProviderOptionsInput>({ id: modelID })\n  const image = (modelID: string | ModelID) =>\n    XAIImages.model({\n      id: modelID,\n      auth: auth(input),\n      baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,\n      headers: input.headers,\n      http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n    })\n  return {\n    id,\n    model: responses,\n    responses,\n    chat,\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n"
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+  "debugId": "D1AC945179A4119864756E2164756E21",
+  "names": []
+}

bin/chunk-e7araw0y.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"],
+  "sourcesContent": [
+    "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor\"\nimport type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from \"./image\"\nimport type { AIError } from \"./schema\"\n\nexport type Execute = RequestExecutor.Interface[\"execute\"]\n\nexport interface Interface {\n  readonly generate: <Options extends ImageOptions>(\n    request: ImageRequestFor<Options>,\n  ) => Effect.Effect<ImageResponse, AIError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/ImageClient\") {}\n\nexport const generate = <Options extends ImageOptions>(\n  request: ImageRequestFor<Options>,\n): Effect.Effect<ImageResponse, AIError> =>\n  Effect.gen(function* () {\n    const client = yield* Service\n    return yield* client.generate(request)\n  }) as Effect.Effect<ImageResponse, AIError>\n\nexport const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const executor = yield* RequestExecutor.Service\n    return Service.of({\n      generate: (request) => request.model.route.generate(request, executor.execute),\n    })\n  }),\n)\n\nexport const ImageClient = {\n  Service,\n  layer,\n  generate,\n} as const\n",
+    "import { Effect, Schema } from \"effect\"\nimport { HttpOptions, InvalidRequestReason, AIError, ModelID, ProviderID, ProviderMetadata, Usage } from \"./schema\"\nimport { ImageClient, Service, type Execute as ImageExecute } from \"./image-client\"\n\nexport interface ImageRoute<Options extends ImageOptions = ImageOptions> {\n  readonly id: string\n  readonly generate: (request: ImageRequestFor<Options>, execute: ImageExecute) => Effect.Effect<ImageResponse, AIError>\n}\n\nexport type ImageOptions = Record<string, unknown>\n\nexport class ImageModel<Options extends ImageOptions = ImageOptions> {\n  declare protected readonly _Options: (options: Options) => Options\n  readonly id: ModelID\n  readonly provider: ProviderID\n  readonly route: ImageRoute<Options>\n  readonly http?: HttpOptions\n\n  constructor(input: ImageModel.Input<Options>) {\n    this.id = input.id\n    this.provider = input.provider\n    this.route = input.route\n    this.http = input.http\n  }\n\n  static make<Options extends ImageOptions = ImageOptions>(input: ImageModel.MakeInput<Options>) {\n    return new ImageModel<Options>({\n      id: ModelID.make(input.id),\n      provider: ProviderID.make(input.provider),\n      route: input.route,\n      http: input.http,\n    })\n  }\n}\n\nexport namespace ImageModel {\n  export interface Input<Options extends ImageOptions = ImageOptions> {\n    readonly id: ModelID\n    readonly provider: ProviderID\n    readonly route: ImageRoute<Options>\n    readonly http?: HttpOptions\n  }\n\n  export interface MakeInput<Options extends ImageOptions = ImageOptions>\n    extends Omit<Input<Options>, \"id\" | \"provider\"> {\n    readonly id: string | ModelID\n    readonly provider: string | ProviderID\n  }\n}\n\nexport const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {\n  expected: \"Image.Model\",\n})\n\nconst ImageBytesInput = Schema.Struct({\n  type: Schema.Literal(\"bytes\"),\n  data: Schema.Uint8Array,\n  mediaType: Schema.String,\n})\nconst ImageUrlInput = Schema.Struct({\n  type: Schema.Literal(\"url\"),\n  url: Schema.String,\n})\nconst ImageFileIDInput = Schema.Struct({\n  type: Schema.Literal(\"file-id\"),\n  id: Schema.String,\n})\nconst ImageFileURIInput = Schema.Struct({\n  type: Schema.Literal(\"file-uri\"),\n  uri: Schema.String,\n  mediaType: Schema.String,\n})\n\nexport const ImageInputSchema = Schema.Union([\n  ImageBytesInput,\n  ImageUrlInput,\n  ImageFileIDInput,\n  ImageFileURIInput,\n]).pipe(Schema.toTaggedUnion(\"type\"))\nexport type ImageInput = Schema.Schema.Type<typeof ImageInputSchema>\n\nexport const ImageInput = {\n  bytes: (data: Uint8Array, mediaType: string): ImageInput => ({ type: \"bytes\", data, mediaType }),\n  url: (url: string): ImageInput => ({ type: \"url\", url }),\n  file: (id: string): ImageInput => ({ type: \"file-id\", id }),\n  fileUri: (uri: string, mediaType: string): ImageInput => ({ type: \"file-uri\", uri, mediaType }),\n} as const\n\nexport class ImageRequest extends Schema.Class<ImageRequest>(\"Image.Request\")({\n  model: ImageModelSchema,\n  prompt: Schema.String,\n  images: Schema.optional(Schema.Array(ImageInputSchema)),\n  options: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n  http: Schema.optional(HttpOptions),\n}) {\n  declare protected readonly _ImageRequest: void\n}\n\nexport type ImageRequestFor<Options extends ImageOptions = ImageOptions> = Omit<ImageRequest, \"model\" | \"options\"> & {\n  readonly model: ImageModel<Options>\n  readonly options?: Options\n}\n\nexport type ImageModelOptions<Model> = Model extends ImageModel<infer Options> ? Options : never\n\nexport type ImageRequestInput<Model extends object = ImageModel> = Omit<\n  ConstructorParameters<typeof ImageRequest>[0],\n  \"model\" | \"options\" | \"http\"\n> & {\n  readonly model: Model\n  readonly options?: NoInfer<ImageModelOptions<Model>>\n  readonly http?: HttpOptions.Input\n} & (Model extends ImageModel<ImageModelOptions<Model>> ? unknown : never)\n\nexport class GeneratedImage extends Schema.Class<GeneratedImage>(\"Image.Generated\")({\n  mediaType: Schema.String,\n  data: Schema.Union([Schema.String, Schema.Uint8Array]),\n  providerMetadata: Schema.optional(ProviderMetadata),\n}) {}\n\nexport class ImageResponse extends Schema.Class<ImageResponse>(\"Image.Response\")({\n  images: Schema.Array(GeneratedImage),\n  usage: Schema.optional(Usage),\n  providerMetadata: Schema.optional(ProviderMetadata),\n}) {\n  get image() {\n    return this.images[0]\n  }\n}\n\nexport function request<const Model extends object>(\n  input: ImageRequestInput<Model>,\n): ImageRequestFor<ImageModelOptions<Model>>\nexport function request(input: ImageRequest): ImageRequest\nexport function request(input: ImageRequest | ImageRequestInput) {\n  if (input instanceof ImageRequest) return input\n  return new ImageRequest({\n    ...input,\n    model: input.model as unknown as ImageModel,\n    http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n  })\n}\n\nexport function generate<const Model extends object>(\n  input: ImageRequestInput<Model>,\n): Effect.Effect<ImageResponse, AIError, Service>\nexport function generate(input: ImageRequest): Effect.Effect<ImageResponse, AIError, Service>\nexport function generate(input: ImageRequest | ImageRequestInput) {\n  return Effect.try({\n    try: () => (input instanceof ImageRequest ? input : request(input)),\n    catch: (error) =>\n      new AIError({\n        module: \"Image\",\n        method: \"generate\",\n        reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),\n      }),\n  }).pipe(Effect.flatMap((request) => ImageClient.generate(request as unknown as ImageRequestFor<ImageOptions>)))\n}\n\nexport const Image = {\n  request,\n  generate,\n} as const\n"
+  ],
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+  "debugId": "8D5D677E3CFCF65A64756E2164756E21",
+  "names": []
+}

bin/chunk-ecgmmjg8.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
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+  "mappings": "",
+  "debugId": "CC5DE01D792BB21F64756E2164756E21",
+  "names": []
+}

bin/chunk-epkm43g1.js.map

+{
+  "version": 3,
+  "sources": ["src/ui/timeline.tsx", "src/commands/handlers/console/login.ts"],
+  "sourcesContent": [
+    "import { createComponent as _$createComponent } from \"@opentui/solid\";\nimport { effect as _$effect } from \"@opentui/solid\";\nimport { createTextNode as _$createTextNode } from \"@opentui/solid\";\nimport { insertNode as _$insertNode } from \"@opentui/solid\";\nimport { insert as _$insert } from \"@opentui/solid\";\nimport { setProp as _$setProp } from \"@opentui/solid\";\nimport { createElement as _$createElement } from \"@opentui/solid\";\n/** @jsxImportSource @opentui/solid */\nimport { createCliRenderer, RGBA } from \"@opentui/core\";\nimport { createScrollbackWriter, render, useKeyboard } from \"@opentui/solid\";\nimport { registerOpencodeSpinner } from \"@opencode-ai/tui/component/register-spinner\";\nimport { Show, createSignal } from \"solid-js\";\nregisterOpencodeSpinner();\nconst SPINNER_FRAMES = [\"⠋\", \"⠙\", \"⠹\", \"⠸\", \"⠼\", \"⠴\", \"⠦\", \"⠧\", \"⠇\", \"⠏\"];\nconst IDLE_TIMEOUT = 1_000;\nconst COLORS = {\n  accent: RGBA.fromIndex(6),\n  error: RGBA.fromIndex(1),\n  foreground: RGBA.defaultForeground(),\n  muted: RGBA.fromIndex(8),\n  success: RGBA.fromIndex(2)\n};\nconst ROWS = {\n  intro: {\n    marker: \"┌\",\n    color: COLORS.muted,\n    connector: true\n  },\n  item: {\n    marker: \"●\",\n    color: COLORS.accent,\n    connector: true\n  },\n  success: {\n    marker: \"◇\",\n    color: COLORS.success,\n    connector: true\n  },\n  failure: {\n    marker: \"■\",\n    color: COLORS.error,\n    connector: false\n  },\n  outro: {\n    marker: \"└\",\n    color: COLORS.muted,\n    connector: false\n  }\n};\nfunction row(kind, value) {\n  const style = ROWS[kind];\n  return createScrollbackWriter(() => (() => {\n    var _el$ = _$createElement(\"box\"),\n      _el$2 = _$createElement(\"box\"),\n      _el$3 = _$createElement(\"text\"),\n      _el$4 = _$createElement(\"text\");\n    _$insertNode(_el$, _el$2);\n    _$setProp(_el$, \"width\", \"100%\");\n    _$setProp(_el$, \"minHeight\", 1);\n    _$setProp(_el$, \"flexDirection\", \"column\");\n    _$insertNode(_el$2, _el$3);\n    _$insertNode(_el$2, _el$4);\n    _$setProp(_el$2, \"width\", \"100%\");\n    _$setProp(_el$2, \"minHeight\", 1);\n    _$setProp(_el$2, \"flexDirection\", \"row\");\n    _$setProp(_el$2, \"gap\", 1);\n    _$setProp(_el$3, \"flexShrink\", 0);\n    _$insert(_el$3, () => style.marker);\n    _$setProp(_el$4, \"wrapMode\", \"word\");\n    _$insert(_el$4, value);\n    _$insert(_el$, _$createComponent(Show, {\n      get when() {\n        return style.connector;\n      },\n      get children() {\n        var _el$5 = _$createElement(\"text\");\n        _$insertNode(_el$5, _$createTextNode(`│`));\n        _$effect(_$p => _$setProp(_el$5, \"fg\", COLORS.muted, _$p));\n        return _el$5;\n      }\n    }), null);\n    _$effect(_p$ => {\n      var _v$ = style.color,\n        _v$2 = COLORS.foreground;\n      _v$ !== _p$.e && (_p$.e = _$setProp(_el$3, \"fg\", _v$, _p$.e));\n      _v$2 !== _p$.t && (_p$.t = _$setProp(_el$4, \"fg\", _v$2, _p$.t));\n      return _p$;\n    }, {\n      e: undefined,\n      t: undefined\n    });\n    return _el$;\n  })(), {\n    startOnNewLine: true,\n    trailingNewline: !style.connector\n  });\n}\nfunction TimelineFooter(props) {\n  useKeyboard(event => {\n    if (event.name !== \"escape\" && !(event.ctrl && event.name === \"c\")) return;\n    event.preventDefault();\n    props.cancel();\n  });\n  return (() => {\n    var _el$7 = _$createElement(\"box\");\n    _$setProp(_el$7, \"width\", \"100%\");\n    _$setProp(_el$7, \"height\", 1);\n    _$setProp(_el$7, \"flexDirection\", \"row\");\n    _$setProp(_el$7, \"gap\", 1);\n    _$insert(_el$7, _$createComponent(Show, {\n      get when() {\n        return props.pending();\n      },\n      children: text => [(() => {\n        var _el$8 = _$createElement(\"spinner\");\n        _$setProp(_el$8, \"frames\", SPINNER_FRAMES);\n        _$setProp(_el$8, \"interval\", 80);\n        _$effect(_$p => _$setProp(_el$8, \"color\", COLORS.accent, _$p));\n        return _el$8;\n      })(), (() => {\n        var _el$9 = _$createElement(\"text\");\n        _$setProp(_el$9, \"wrapMode\", \"none\");\n        _$setProp(_el$9, \"truncate\", true);\n        _$insert(_el$9, text);\n        _$effect(_$p => _$setProp(_el$9, \"fg\", COLORS.foreground, _$p));\n        return _el$9;\n      })()]\n    }));\n    return _el$7;\n  })();\n}\nfunction bounded(task) {\n  return new Promise(resolve => {\n    const timer = setTimeout(resolve, IDLE_TIMEOUT);\n    timer.unref();\n    const finish = () => {\n      clearTimeout(timer);\n      resolve();\n    };\n    void task.then(finish, finish);\n  });\n}\nasync function shutdown(renderer) {\n  await bounded(renderer.idle());\n  try {\n    renderer.externalOutputMode = \"passthrough\";\n  } finally {\n    try {\n      renderer.screenMode = \"main-screen\";\n    } finally {\n      if (!renderer.isDestroyed) renderer.destroy();\n    }\n  }\n}\nexport async function createTimelineHost() {\n  const stdout = process.stdout;\n  const controller = new AbortController();\n  const signals = [\"SIGINT\", \"SIGHUP\", \"SIGQUIT\"];\n  const cancel = () => {\n    if (!controller.signal.aborted) controller.abort();\n  };\n  signals.forEach(signal => process.on(signal, cancel));\n  if (!stdout.isTTY || !process.stdin.isTTY) {\n    let closed = false;\n    let writing = false;\n    let active;\n    let closeTask;\n    const write = async (kind, text) => {\n      if (closed) throw new Error(\"timeline closed\");\n      if (writing) throw new Error(\"timeline write already in progress\");\n      writing = true;\n      try {\n        const style = kind === \"pending\" ? undefined : ROWS[kind];\n        const marker = kind === \"pending\" ? \".\" : ROWS[kind].marker;\n        const connector = style?.connector ? \"│\\n\" : \"\";\n        active = new Promise((resolve, reject) => {\n          stdout.write(`${marker} ${text}\\n${connector}`, error => error ? reject(error) : resolve());\n        });\n        await active;\n      } finally {\n        writing = false;\n        active = undefined;\n      }\n    };\n    const close = () => {\n      if (closeTask) return closeTask;\n      closed = true;\n      closeTask = (async () => {\n        await active?.catch(() => {});\n        signals.forEach(signal => process.off(signal, cancel));\n      })();\n      return closeTask;\n    };\n    return {\n      signal: controller.signal,\n      intro: text => write(\"intro\", text),\n      item: text => write(\"item\", text),\n      pending: text => write(\"pending\", text),\n      success: text => write(\"success\", text),\n      failure: text => write(\"failure\", text),\n      outro: text => write(\"outro\", text),\n      close\n    };\n  }\n  let renderer;\n  try {\n    // Start on a fresh row so delayed SSH cursor reports cannot make\n    // split-footer overwrite the shell command.\n    process.stdout.write(\"\\n\");\n    renderer = await createCliRenderer({\n      stdin: process.stdin,\n      useMouse: false,\n      autoFocus: false,\n      openConsoleOnError: false,\n      exitOnCtrlC: false,\n      exitSignals: [],\n      screenMode: \"split-footer\",\n      footerHeight: 1,\n      externalOutputMode: \"capture-stdout\",\n      consoleMode: \"disabled\",\n      clearOnShutdown: false\n    });\n    const activeRenderer = renderer;\n    const [pending, setPending] = createSignal();\n    const renderTask = render(() => _$createComponent(TimelineFooter, {\n      pending: pending,\n      cancel: cancel\n    }), activeRenderer);\n    void renderTask.catch(cancel);\n    await bounded(activeRenderer.idle());\n    let closed = false;\n    let writing = false;\n    let active;\n    let closeTask;\n    const write = (kind, text) => {\n      if (closed) return Promise.reject(new Error(\"timeline closed\"));\n      if (writing) return Promise.reject(new Error(\"timeline write already in progress\"));\n      writing = true;\n      active = (async () => {\n        if (kind === \"pending\") {\n          setPending(text);\n          activeRenderer.requestRender();\n        } else {\n          if (kind === \"success\" || kind === \"failure\" || kind === \"outro\") setPending(undefined);\n          activeRenderer.writeToScrollback(row(kind, text));\n          activeRenderer.requestRender();\n        }\n        await bounded(activeRenderer.idle());\n      })().finally(() => {\n        writing = false;\n        active = undefined;\n      });\n      return active;\n    };\n    const close = () => {\n      if (closeTask) return closeTask;\n      closed = true;\n      closeTask = (async () => {\n        await active?.catch(() => {});\n        try {\n          await shutdown(activeRenderer);\n          await bounded(renderTask);\n        } finally {\n          signals.forEach(signal => process.off(signal, cancel));\n        }\n      })();\n      return closeTask;\n    };\n    return {\n      signal: controller.signal,\n      intro: text => write(\"intro\", text),\n      item: text => write(\"item\", text),\n      pending: text => write(\"pending\", text),\n      success: text => write(\"success\", text),\n      failure: text => write(\"failure\", text),\n      outro: text => write(\"outro\", text),\n      close\n    };\n  } catch (error) {\n    try {\n      if (renderer) await shutdown(renderer);\n    } finally {\n      signals.forEach(signal => process.off(signal, cancel));\n    }\n    throw error;\n  }\n}",
+    "import { Cause, Effect, Exit, Option } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\n\nconst integrationID = \"opencode\"\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.console.commands.login,\n  Effect.fn(\"cli.console.login\")(function* (input) {\n    const timeline = yield* Effect.acquireRelease(\n      Effect.promise(() => createTimelineHost()),\n      (value) => request(() => value.close()).pipe(Effect.ignore),\n    )\n    const exit = yield* login(timeline, Option.getOrUndefined(input.url)).pipe(\n      Effect.raceFirst(AppProcess.waitForAbort(timeline.signal)),\n      Effect.exit,\n    )\n    if (Exit.isSuccess(exit)) return\n\n    const cancelled = timeline.signal.aborted\n    yield* request(() => timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(exit.cause))).pipe(\n      Effect.ignore,\n    )\n    process.exitCode = cancelled ? 130 : 1\n  }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n  yield* request(() => timeline.intro(\"Log in\"))\n  yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n  const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n  const method = yield* required(\n    integration.methods.find((candidate) => candidate.type === \"oauth\"),\n    \"OpenCode Console login is unavailable\",\n  )\n\n  yield* request(() => timeline.pending(\"Starting authorization...\"))\n  const started = yield* request((signal) =>\n    client.integration.oauth.connect(\n      {\n        integrationID,\n        methodID: method.id,\n        inputs: server ? { server } : {},\n        location,\n      },\n      { signal },\n    ),\n  )\n  const attempt = started.data\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.oauth.cancel(\n        { integrationID, attemptID: attempt.attemptID, location },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n  yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n  yield* request(() => timeline.item(attempt.instructions))\n  yield* request(async () => {\n    const { default: open } = await import(\"open\")\n    await open(attempt.url)\n  }).pipe(Effect.ignore)\n  yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n  const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n  yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n  yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n) {\n  while (true) {\n    const response = yield* request((signal) =>\n      client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n    )\n    if (response.data.status !== \"pending\") return response.data\n    yield* Effect.sleep(500)\n  }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n  return Effect.tryPromise({\n    try: task,\n    catch: (cause) => cause,\n  })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n  return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n\nfunction errorMessage(cause: Cause.Cause<unknown>) {\n  const error = Cause.squash(cause)\n  if (error instanceof Error) return error.message\n  if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\") {\n    return error.message\n  }\n  return String(error)\n}\n"
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+  "debugId": "D3FDE3CD20549AA364756E2164756E21",
+  "names": []
+}

bin/chunk-f5ctb0ex.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/debug/agents.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.debug.commands.agents,\n  Effect.fn(\"cli.debug.agents\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.agent.list({ location: { directory: process.cwd() } }))\n    process.stdout.write(\n      JSON.stringify(\n        response.data.toSorted((a, b) => a.id.localeCompare(b.id)),\n        null,\n        2,\n      ) + EOL,\n    )\n  }),\n)\n"
+  ],
+  "mappings": ";83BAAA,mBAAS,gBAQT,SAAe,SAAQ,aACrB,OAAS,cAAS,WAAM,cAAS,YACjC,OAAO,QAAG,uBAAkB,OAAE,cAAU,OAAG,MACzC,SAAM,OAAU,WAAO,OAAc,aAAQ,OAEvC,GADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EACpF,EAAW,MAAO,EAAO,QAAQ,IAAM,EAAO,MAAM,KAAK,CAAE,SAAU,CAAE,UAAW,QAAQ,IAAI,CAAE,CAAE,CAAC,CAAC,EAC1G,QAAQ,OAAO,MACb,KAAK,UACH,EAAS,KAAK,SAAS,CAAC,EAAG,IAAM,EAAE,GAAG,cAAc,EAAE,EAAE,CAAC,EACzD,KACA,CACF,EAAI,CACN,EACD,CACH",
+  "debugId": "DC1E8E4F50442EE464756E2164756E21",
+  "names": []
+}

bin/chunk-fk78ggfn.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+cerebras@2.0.41+d6123d32214422cb/node_modules/@ai-sdk/cerebras/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/cerebras-provider.ts\nimport { OpenAICompatibleChatLanguageModel } from \"@ai-sdk/openai-compatible\";\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\n\n// src/version.ts\nvar VERSION = true ? \"2.0.41\" : \"0.0.0-test\";\n\n// src/cerebras-provider.ts\nvar cerebrasErrorSchema = z.object({\n  message: z.string(),\n  type: z.string(),\n  param: z.string(),\n  code: z.string()\n});\nvar cerebrasErrorStructure = {\n  errorSchema: cerebrasErrorSchema,\n  errorToMessage: (data) => data.message\n};\nfunction createCerebras(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.cerebras.ai/v1\"\n  );\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"CEREBRAS_API_KEY\",\n        description: \"Cerebras API key\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/cerebras/${VERSION}`\n  );\n  const createLanguageModel = (modelId) => {\n    return new OpenAICompatibleChatLanguageModel(modelId, {\n      provider: `cerebras.chat`,\n      url: ({ path }) => `${baseURL}${path}`,\n      headers: getHeaders,\n      fetch: options.fetch,\n      errorStructure: cerebrasErrorStructure,\n      supportsStructuredOutputs: true\n    });\n  };\n  const provider = (modelId) => createLanguageModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createLanguageModel;\n  provider.chat = createLanguageModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar cerebras = createCerebras();\nexport {\n  VERSION,\n  cerebras,\n  createCerebras\n};\n//# sourceMappingURL=index.mjs.map"
+  ],
+  "mappings": ";yVAaA,SAAI,OAAiB,cAGjB,OAAsB,OAAE,YAAO,MACjC,QAAS,EAAE,OAAO,EAClB,KAAM,EAAE,OAAO,EACf,MAAO,EAAE,OAAO,EAChB,KAAM,EAAE,OAAO,CACjB,CAAC,EACG,EAAyB,CAC3B,YAAa,EACb,eAAgB,CAAC,IAAS,EAAK,OACjC,EACA,SAAS,CAAc,CAAC,EAAU,CAAC,EAAG,CACpC,IAAI,EACJ,IAAM,EAAU,GACb,EAAK,EAAQ,UAAY,KAAO,EAAK,4BACxC,EACM,EAAa,IAAM,EACvB,CACE,cAAe,UAAU,EAAW,CAClC,OAAQ,EAAQ,OAChB,wBAAyB,mBACzB,YAAa,kBACf,CAAC,OACE,EAAQ,OACb,EACA,mBAAmB,GACrB,EACM,EAAsB,CAAC,IAAY,CACvC,OAAO,IAAI,EAAkC,EAAS,CACpD,SAAU,gBACV,IAAK,EAAG,UAAW,GAAG,IAAU,IAChC,QAAS,EACT,MAAO,EAAQ,MACf,eAAgB,EAChB,0BAA2B,EAC7B,CAAC,GAEG,EAAW,CAAC,IAAY,EAAoB,CAAO,EAWzD,OAVA,EAAS,qBAAuB,KAChC,EAAS,cAAgB,EACzB,EAAS,KAAO,EAChB,EAAS,eAAiB,CAAC,IAAY,CACrC,MAAM,IAAI,EAAiB,CAAE,UAAS,UAAW,gBAAiB,CAAC,GAErE,EAAS,mBAAqB,EAAS,eACvC,EAAS,WAAa,CAAC,IAAY,CACjC,MAAM,IAAI,EAAiB,CAAE,UAAS,UAAW,YAAa,CAAC,GAE1D,EAET,IAAI,EAAW,EAAe",
+  "debugId": "6BD08D391098529864756E2164756E21",
+  "names": []
+}

bin/chunk-fwdp73vv.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openai-options.ts"],
+  "sourcesContent": [
+    "import type { ProviderOptions } from \"../schema\"\nimport { mergeProviderOptions } from \"../schema\"\nimport type { OpenResponsesOptionsInput } from \"./open-responses-options\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options\"\n\nexport type OpenAIOptionsInput = OpenResponsesOptionsInput\n\nexport type OpenAIProviderOptionsInput = ProviderOptions & {\n  readonly openai?: OpenAIOptionsInput\n}\n\nconst definedEntries = (input: Record<string, unknown>) =>\n  Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n  const openai = Object.fromEntries(\n    definedEntries({\n      store: options?.store,\n      promptCacheKey: options?.promptCacheKey,\n      reasoningEffort: options?.reasoningEffort,\n      reasoningSummary: options?.reasoningSummary,\n      include: options?.include,\n      textVerbosity: options?.textVerbosity,\n      serviceTier: options?.serviceTier,\n    }),\n  )\n  if (Object.keys(openai).length === 0) return undefined\n  return { openai }\n}\n\nexport const gpt5DefaultOptions = (\n  modelID: string,\n  options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n  const id = modelID.toLowerCase()\n  if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n  return openAIProviderOptions({\n    reasoningEffort: \"medium\",\n    reasoningSummary: \"auto\",\n    // GPT-5 reasoning models are configured stateless (`store: false`) by\n    // `openAIDefaultOptions` below, so the only way a follow-up turn can\n    // carry reasoning state is via the encrypted reasoning include. Without\n    // this, callers using the default model facade get reasoning summaries\n    // they cannot replay statelessly.\n    include: [\"reasoning.encrypted_content\"],\n    textVerbosity:\n      options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n        ? \"low\"\n        : undefined,\n  })\n}\n\nexport const openAIDefaultOptions = (\n  modelID: string,\n  options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n  mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n  modelID: string,\n  options: Options,\n  defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n  return {\n    ...options,\n    providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n  }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options\"\n"
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+{
+  "version": 3,
+  "sources": ["src/version.ts"],
+  "sourcesContent": [
+    "declare const OPENCODE_VERSION: string\ndeclare const OPENCODE_CHANNEL: string\n\nconst version = typeof OPENCODE_VERSION === \"string\" ? OPENCODE_VERSION : \"local\"\nconst channel = typeof OPENCODE_CHANNEL === \"string\" ? OPENCODE_CHANNEL : \"local\"\n\nexport { version as OPENCODE_VERSION, channel as OPENCODE_CHANNEL }\nexport const OPENCODE_LOCAL = channel === \"local\"\n"
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+}

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+  "version": 3,
+  "sources": ["../tui/src/prompt/content.ts"],
+  "sourcesContent": [
+    "export function normalizePromptContent(content: string) {\n  if (content.endsWith(\"\\r\\n\")) {\n    const body = content.slice(0, -2)\n    return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n  }\n\n  if (content.endsWith(\"\\n\")) {\n    const body = content.slice(0, -1)\n    return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n  }\n\n  return content\n}\n"
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+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+togetherai@2.0.41+d6123d32214422cb/node_modules/@ai-sdk/togetherai/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/togetherai-provider.ts\nimport {\n  OpenAICompatibleChatLanguageModel,\n  OpenAICompatibleCompletionLanguageModel,\n  OpenAICompatibleEmbeddingModel\n} from \"@ai-sdk/openai-compatible\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/reranking/togetherai-reranking-model.ts\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\n\n// src/reranking/togetherai-reranking-api.ts\nimport { lazySchema, zodSchema } from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\nvar togetheraiErrorSchema = lazySchema(\n  () => zodSchema(\n    z.object({\n      error: z.object({\n        message: z.string()\n      })\n    })\n  )\n);\nvar togetheraiRerankingResponseSchema = lazySchema(\n  () => zodSchema(\n    z.object({\n      id: z.string().nullish(),\n      model: z.string().nullish(),\n      results: z.array(\n        z.object({\n          index: z.number(),\n          relevance_score: z.number()\n        })\n      ),\n      usage: z.object({\n        prompt_tokens: z.number(),\n        completion_tokens: z.number(),\n        total_tokens: z.number()\n      })\n    })\n  )\n);\n\n// src/reranking/togetherai-reranking-options.ts\nimport { lazySchema as lazySchema2, zodSchema as zodSchema2 } from \"@ai-sdk/provider-utils\";\nimport { z as z2 } from \"zod/v4\";\nvar togetheraiRerankingModelOptionsSchema = lazySchema2(\n  () => zodSchema2(\n    z2.object({\n      rankFields: z2.array(z2.string()).optional()\n    })\n  )\n);\n\n// src/reranking/togetherai-reranking-model.ts\nvar TogetherAIRerankingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  // see https://docs.together.ai/reference/rerank-1\n  async doRerank({\n    documents,\n    headers,\n    query,\n    topN,\n    abortSignal,\n    providerOptions\n  }) {\n    var _a, _b;\n    const rerankingOptions = await parseProviderOptions({\n      provider: \"togetherai\",\n      providerOptions,\n      schema: togetheraiRerankingModelOptionsSchema\n    });\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/rerank`,\n      headers: combineHeaders(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        documents: documents.values,\n        query,\n        top_n: topN,\n        rank_fields: rerankingOptions == null ? void 0 : rerankingOptions.rankFields,\n        return_documents: false\n        // reduce response size\n      },\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: togetheraiErrorSchema,\n        errorToMessage: (data) => data.error.message\n      }),\n      successfulResponseHandler: createJsonResponseHandler(\n        togetheraiRerankingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      ranking: response.results.map((result) => ({\n        index: result.index,\n        relevanceScore: result.relevance_score\n      })),\n      response: {\n        id: (_a = response.id) != null ? _a : void 0,\n        modelId: (_b = response.model) != null ? _b : void 0,\n        headers: responseHeaders,\n        body: rawValue\n      }\n    };\n  }\n};\n\n// src/togetherai-image-model.ts\nimport {\n  combineHeaders as combineHeaders2,\n  convertImageModelFileToDataUri,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  createJsonErrorResponseHandler as createJsonErrorResponseHandler2,\n  lazySchema as lazySchema3,\n  parseProviderOptions as parseProviderOptions2,\n  postJsonToApi as postJsonToApi2,\n  zodSchema as zodSchema3\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\nvar TogetherAIImageModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n    this.maxImagesPerCall = 1;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    seed,\n    providerOptions,\n    headers,\n    abortSignal,\n    files,\n    mask\n  }) {\n    var _a, _b, _c;\n    const warnings = [];\n    if (mask != null) {\n      throw new Error(\n        \"Together AI does not support mask-based image editing. Use FLUX Kontext models (e.g., black-forest-labs/FLUX.1-kontext-pro) with a reference image and descriptive prompt instead.\"\n      );\n    }\n    if (size != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"aspectRatio\",\n        details: \"This model does not support the `aspectRatio` option. Use `size` instead.\"\n      });\n    }\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    const togetheraiOptions = await parseProviderOptions2({\n      provider: \"togetherai\",\n      providerOptions,\n      schema: togetheraiImageModelOptionsSchema\n    });\n    let imageUrl;\n    if (files != null && files.length > 0) {\n      imageUrl = convertImageModelFileToDataUri(files[0]);\n      if (files.length > 1) {\n        warnings.push({\n          type: \"other\",\n          message: \"Together AI only supports a single input image. Additional images are ignored.\"\n        });\n      }\n    }\n    const splitSize = size == null ? void 0 : size.split(\"x\");\n    const { value: response, responseHeaders } = await postJsonToApi2({\n      url: `${this.config.baseURL}/images/generations`,\n      headers: combineHeaders2(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        prompt,\n        seed,\n        ...n > 1 ? { n } : {},\n        ...splitSize && {\n          width: parseInt(splitSize[0]),\n          height: parseInt(splitSize[1])\n        },\n        ...imageUrl != null ? { image_url: imageUrl } : {},\n        response_format: \"base64\",\n        ...togetheraiOptions != null ? togetheraiOptions : {}\n      },\n      failedResponseHandler: createJsonErrorResponseHandler2({\n        errorSchema: togetheraiErrorSchema2,\n        errorToMessage: (data) => data.error.message\n      }),\n      successfulResponseHandler: createJsonResponseHandler2(\n        togetheraiImageResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      images: response.data.map((item) => item.b64_json),\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders\n      }\n    };\n  }\n};\nvar togetheraiImageResponseSchema = z3.object({\n  data: z3.array(\n    z3.object({\n      b64_json: z3.string()\n    })\n  )\n});\nvar togetheraiErrorSchema2 = z3.object({\n  error: z3.object({\n    message: z3.string()\n  })\n});\nvar togetheraiImageModelOptionsSchema = lazySchema3(\n  () => zodSchema3(\n    z3.object({\n      /**\n       * Number of generation steps. Higher values can improve quality.\n       */\n      steps: z3.number().nullish(),\n      /**\n       * Guidance scale for image generation.\n       */\n      guidance: z3.number().nullish(),\n      /**\n       * Negative prompt to guide what to avoid.\n       */\n      negative_prompt: z3.string().nullish(),\n      /**\n       * Disable the safety checker for image generation.\n       * When true, the API will not reject images flagged as potentially NSFW.\n       * Not available for Flux Schnell Free and Flux Pro models.\n       */\n      disable_safety_checker: z3.boolean().nullish()\n    }).passthrough()\n  )\n);\n\n// src/version.ts\nvar VERSION = true ? \"2.0.41\" : \"0.0.0-test\";\n\n// src/togetherai-provider.ts\nfunction loadDeprecatedApiKey() {\n  if (typeof process === \"undefined\") {\n    return void 0;\n  }\n  if (typeof process.env.TOGETHER_API_KEY === \"string\") {\n    return void 0;\n  }\n  const key = process.env.TOGETHER_AI_API_KEY;\n  if (typeof key === \"string\") {\n    console.warn(\n      \"TOGETHER_AI_API_KEY is deprecated and will be removed in a future release. Please use TOGETHER_API_KEY instead.\"\n    );\n  }\n  return key;\n}\nfunction createTogetherAI(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.together.xyz/v1/\"\n  );\n  const getHeaders = () => {\n    var _a2;\n    return withUserAgentSuffix(\n      {\n        Authorization: `Bearer ${loadApiKey({\n          apiKey: (_a2 = options.apiKey) != null ? _a2 : loadDeprecatedApiKey(),\n          environmentVariableName: \"TOGETHER_API_KEY\",\n          description: \"TogetherAI\"\n        })}`,\n        ...options.headers\n      },\n      `ai-sdk/togetherai/${VERSION}`\n    );\n  };\n  const getCommonModelConfig = (modelType) => ({\n    provider: `togetherai.${modelType}`,\n    url: ({ path }) => `${baseURL}${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createChatModel = (modelId) => {\n    return new OpenAICompatibleChatLanguageModel(\n      modelId,\n      getCommonModelConfig(\"chat\")\n    );\n  };\n  const createCompletionModel = (modelId) => new OpenAICompatibleCompletionLanguageModel(\n    modelId,\n    getCommonModelConfig(\"completion\")\n  );\n  const createEmbeddingModel = (modelId) => new OpenAICompatibleEmbeddingModel(\n    modelId,\n    getCommonModelConfig(\"embedding\")\n  );\n  const createImageModel = (modelId) => new TogetherAIImageModel(modelId, {\n    ...getCommonModelConfig(\"image\"),\n    baseURL: baseURL != null ? baseURL : \"https://api.together.xyz/v1/\"\n  });\n  const createRerankingModel = (modelId) => new TogetherAIRerankingModel(modelId, {\n    ...getCommonModelConfig(\"reranking\"),\n    baseURL: baseURL != null ? baseURL : \"https://api.together.xyz/v1/\"\n  });\n  const provider = (modelId) => createChatModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.completionModel = createCompletionModel;\n  provider.languageModel = createChatModel;\n  provider.chatModel = createChatModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.reranking = createRerankingModel;\n  provider.rerankingModel = createRerankingModel;\n  return provider;\n}\nvar togetherai = createTogetherAI();\nexport {\n  VERSION,\n  createTogetherAI,\n  togetherai\n};\n//# sourceMappingURL=index.mjs.map"
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bin/chunk-hpjrc8st.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+groq@3.0.31+d6123d32214422cb/node_modules/@ai-sdk/groq/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/groq-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/groq-chat-language-model.ts\nimport {\n  InvalidResponseDataError\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  isParsableJson,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\n\n// src/convert-groq-usage.ts\nfunction convertGroqUsage(usage) {\n  var _a, _b, _c, _d;\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const promptTokens = (_a = usage.prompt_tokens) != null ? _a : 0;\n  const completionTokens = (_b = usage.completion_tokens) != null ? _b : 0;\n  const reasoningTokens = (_d = (_c = usage.completion_tokens_details) == null ? void 0 : _c.reasoning_tokens) != null ? _d : void 0;\n  const textTokens = reasoningTokens != null ? completionTokens - reasoningTokens : completionTokens;\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens,\n      cacheRead: void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: textTokens,\n      reasoning: reasoningTokens\n    },\n    raw: usage\n  };\n}\n\n// src/convert-to-groq-chat-messages.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nimport { convertToBase64 } from \"@ai-sdk/provider-utils\";\nfunction convertToGroqChatMessages(prompt) {\n  var _a;\n  const messages = [];\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\": {\n        if (content.length === 1 && content[0].type === \"text\") {\n          messages.push({ role: \"user\", content: content[0].text });\n          break;\n        }\n        messages.push({\n          role: \"user\",\n          content: content.map((part) => {\n            switch (part.type) {\n              case \"text\": {\n                return { type: \"text\", text: part.text };\n              }\n              case \"file\": {\n                if (!part.mediaType.startsWith(\"image/\")) {\n                  throw new UnsupportedFunctionalityError({\n                    functionality: \"Non-image file content parts\"\n                  });\n                }\n                const mediaType = part.mediaType === \"image/*\" ? \"image/jpeg\" : part.mediaType;\n                return {\n                  type: \"image_url\",\n                  image_url: {\n                    url: part.data instanceof URL ? part.data.toString() : `data:${mediaType};base64,${convertToBase64(part.data)}`\n                  }\n                };\n              }\n            }\n          })\n        });\n        break;\n      }\n      case \"assistant\": {\n        let text = \"\";\n        let reasoning = \"\";\n        const toolCalls = [];\n        for (const part of content) {\n          switch (part.type) {\n            // groq supports reasoning for tool-calls in multi-turn conversations\n            // https://github.com/vercel/ai/issues/7860\n            case \"reasoning\": {\n              reasoning += part.text;\n              break;\n            }\n            case \"text\": {\n              text += part.text;\n              break;\n            }\n            case \"tool-call\": {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: \"function\",\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input)\n                }\n              });\n              break;\n            }\n          }\n        }\n        messages.push({\n          role: \"assistant\",\n          content: text,\n          ...reasoning.length > 0 ? { reasoning } : null,\n          ...toolCalls.length > 0 ? { tool_calls: toolCalls } : null\n        });\n        break;\n      }\n      case \"tool\": {\n        for (const toolResponse of content) {\n          if (toolResponse.type === \"tool-approval-response\") {\n            continue;\n          }\n          const output = toolResponse.output;\n          let contentValue;\n          switch (output.type) {\n            case \"text\":\n            case \"error-text\":\n              contentValue = output.value;\n              break;\n            case \"execution-denied\":\n              contentValue = (_a = output.reason) != null ? _a : \"Tool execution denied.\";\n              break;\n            case \"content\":\n            case \"json\":\n            case \"error-json\":\n              contentValue = JSON.stringify(output.value);\n              break;\n          }\n          messages.push({\n            role: \"tool\",\n            tool_call_id: toolResponse.toolCallId,\n            content: contentValue\n          });\n        }\n        break;\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return messages;\n}\n\n// src/get-response-metadata.ts\nfunction getResponseMetadata({\n  id,\n  model,\n  created\n}) {\n  return {\n    id: id != null ? id : void 0,\n    modelId: model != null ? model : void 0,\n    timestamp: created != null ? new Date(created * 1e3) : void 0\n  };\n}\n\n// src/groq-chat-options.ts\nimport { z } from \"zod/v4\";\nvar groqLanguageModelOptions = z.object({\n  reasoningFormat: z.enum([\"parsed\", \"raw\", \"hidden\"]).optional(),\n  /**\n   * Specifies the reasoning effort level for model inference.\n   * @see https://console.groq.com/docs/reasoning#reasoning-effort\n   */\n  reasoningEffort: z.enum([\"none\", \"default\", \"low\", \"medium\", \"high\"]).optional(),\n  /**\n   * Whether to enable parallel function calling during tool use. Default to true.\n   */\n  parallelToolCalls: z.boolean().optional(),\n  /**\n   * A unique identifier representing your end-user, which can help OpenAI to\n   * monitor and detect abuse. Learn more.\n   */\n  user: z.string().optional(),\n  /**\n   * Whether to use structured outputs.\n   *\n   * @default true\n   */\n  structuredOutputs: z.boolean().optional(),\n  /**\n   * Whether to use strict JSON schema validation.\n   * When true, the model uses constrained decoding to guarantee schema compliance.\n   * Only used when structured outputs are enabled and a schema is provided.\n   *\n   * @default true\n   */\n  strictJsonSchema: z.boolean().optional(),\n  /**\n   * Service tier for the request.\n   * - 'on_demand': Default tier with consistent performance and fairness\n   * - 'flex': Higher throughput tier optimized for workloads that can handle occasional request failures\n   * - 'auto': Uses on_demand rate limits, then falls back to flex tier if exceeded\n   *\n   * @default 'on_demand'\n   */\n  serviceTier: z.enum([\"on_demand\", \"flex\", \"auto\"]).optional()\n});\n\n// src/groq-error.ts\nimport { z as z2 } from \"zod/v4\";\nimport { createJsonErrorResponseHandler } from \"@ai-sdk/provider-utils\";\nvar groqErrorDataSchema = z2.object({\n  error: z2.object({\n    message: z2.string(),\n    type: z2.string()\n  })\n});\nvar groqFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: groqErrorDataSchema,\n  errorToMessage: (data) => data.error.message\n});\n\n// src/groq-prepare-tools.ts\nimport {\n  UnsupportedFunctionalityError as UnsupportedFunctionalityError2\n} from \"@ai-sdk/provider\";\n\n// src/groq-browser-search-models.ts\nvar BROWSER_SEARCH_SUPPORTED_MODELS = [\n  \"openai/gpt-oss-20b\",\n  \"openai/gpt-oss-120b\"\n];\nfunction isBrowserSearchSupportedModel(modelId) {\n  return BROWSER_SEARCH_SUPPORTED_MODELS.includes(modelId);\n}\nfunction getSupportedModelsString() {\n  return BROWSER_SEARCH_SUPPORTED_MODELS.join(\", \");\n}\n\n// src/groq-prepare-tools.ts\nfunction prepareTools({\n  tools,\n  toolChoice,\n  modelId\n}) {\n  tools = (tools == null ? void 0 : tools.length) ? tools : void 0;\n  const toolWarnings = [];\n  if (tools == null) {\n    return { tools: void 0, toolChoice: void 0, toolWarnings };\n  }\n  const groqTools2 = [];\n  for (const tool of tools) {\n    if (tool.type === \"provider\") {\n      if (tool.id === \"groq.browser_search\") {\n        if (!isBrowserSearchSupportedModel(modelId)) {\n          toolWarnings.push({\n            type: \"unsupported\",\n            feature: `provider-defined tool ${tool.id}`,\n            details: `Browser search is only supported on the following models: ${getSupportedModelsString()}. Current model: ${modelId}`\n          });\n        } else {\n          groqTools2.push({\n            type: \"browser_search\"\n          });\n        }\n      } else {\n        toolWarnings.push({\n          type: \"unsupported\",\n          feature: `provider-defined tool ${tool.id}`\n        });\n      }\n    } else {\n      groqTools2.push({\n        type: \"function\",\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema,\n          ...tool.strict != null ? { strict: tool.strict } : {}\n        }\n      });\n    }\n  }\n  if (toolChoice == null) {\n    return { tools: groqTools2, toolChoice: void 0, toolWarnings };\n  }\n  const type = toolChoice.type;\n  switch (type) {\n    case \"auto\":\n    case \"none\":\n    case \"required\":\n      return { tools: groqTools2, toolChoice: type, toolWarnings };\n    case \"tool\":\n      return {\n        tools: groqTools2,\n        toolChoice: {\n          type: \"function\",\n          function: {\n            name: toolChoice.toolName\n          }\n        },\n        toolWarnings\n      };\n    default: {\n      const _exhaustiveCheck = type;\n      throw new UnsupportedFunctionalityError2({\n        functionality: `tool choice type: ${_exhaustiveCheck}`\n      });\n    }\n  }\n}\n\n// src/map-groq-finish-reason.ts\nfunction mapGroqFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"stop\":\n      return \"stop\";\n    case \"length\":\n      return \"length\";\n    case \"content_filter\":\n      return \"content-filter\";\n    case \"function_call\":\n    case \"tool_calls\":\n      return \"tool-calls\";\n    default:\n      return \"other\";\n  }\n}\n\n// src/groq-chat-language-model.ts\nvar GroqChatLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.supportedUrls = {\n      \"image/*\": [/^https?:\\/\\/.*$/]\n    };\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    stream,\n    tools,\n    toolChoice,\n    providerOptions\n  }) {\n    var _a, _b, _c;\n    const warnings = [];\n    const groqOptions = await parseProviderOptions({\n      provider: \"groq\",\n      providerOptions,\n      schema: groqLanguageModelOptions\n    });\n    const structuredOutputs = (_a = groqOptions == null ? void 0 : groqOptions.structuredOutputs) != null ? _a : true;\n    const strictJsonSchema = (_b = groqOptions == null ? void 0 : groqOptions.strictJsonSchema) != null ? _b : true;\n    if (topK != null) {\n      warnings.push({ type: \"unsupported\", feature: \"topK\" });\n    }\n    if ((responseFormat == null ? void 0 : responseFormat.type) === \"json\" && responseFormat.schema != null && !structuredOutputs) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"responseFormat\",\n        details: \"JSON response format schema is only supported with structuredOutputs\"\n      });\n    }\n    const {\n      tools: groqTools2,\n      toolChoice: groqToolChoice,\n      toolWarnings\n    } = prepareTools({ tools, toolChoice, modelId: this.modelId });\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n        // model specific settings:\n        user: groqOptions == null ? void 0 : groqOptions.user,\n        parallel_tool_calls: groqOptions == null ? void 0 : groqOptions.parallelToolCalls,\n        // standardized settings:\n        max_tokens: maxOutputTokens,\n        temperature,\n        top_p: topP,\n        frequency_penalty: frequencyPenalty,\n        presence_penalty: presencePenalty,\n        stop: stopSequences,\n        seed,\n        // response format:\n        response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? structuredOutputs && responseFormat.schema != null ? {\n          type: \"json_schema\",\n          json_schema: {\n            schema: responseFormat.schema,\n            strict: strictJsonSchema,\n            name: (_c = responseFormat.name) != null ? _c : \"response\",\n            description: responseFormat.description\n          }\n        } : { type: \"json_object\" } : void 0,\n        // provider options:\n        reasoning_format: groqOptions == null ? void 0 : groqOptions.reasoningFormat,\n        reasoning_effort: groqOptions == null ? void 0 : groqOptions.reasoningEffort,\n        service_tier: groqOptions == null ? void 0 : groqOptions.serviceTier,\n        // messages:\n        messages: convertToGroqChatMessages(prompt),\n        // tools:\n        tools: groqTools2,\n        tool_choice: groqToolChoice\n      },\n      warnings: [...warnings, ...toolWarnings]\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b;\n    const { args, warnings } = await this.getArgs({\n      ...options,\n      stream: false\n    });\n    const body = JSON.stringify(args);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: this.config.url({\n        path: \"/chat/completions\",\n        modelId: this.modelId\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: args,\n      failedResponseHandler: groqFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        groqChatResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const choice = response.choices[0];\n    const content = [];\n    const text = choice.message.content;\n    if (text != null && text.length > 0) {\n      content.push({ type: \"text\", text });\n    }\n    const reasoning = choice.message.reasoning;\n    if (reasoning != null && reasoning.length > 0) {\n      content.push({\n        type: \"reasoning\",\n        text: reasoning\n      });\n    }\n    if (choice.message.tool_calls != null) {\n      for (const toolCall of choice.message.tool_calls) {\n        content.push({\n          type: \"tool-call\",\n          toolCallId: (_a = toolCall.id) != null ? _a : generateId(),\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments\n        });\n      }\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapGroqFinishReason(choice.finish_reason),\n        raw: (_b = choice.finish_reason) != null ? _b : void 0\n      },\n      usage: convertGroqUsage(response.usage),\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings,\n      request: { body }\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = await this.getArgs({ ...options, stream: true });\n    const body = JSON.stringify({ ...args, stream: true });\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: \"/chat/completions\",\n        modelId: this.modelId\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: {\n        ...args,\n        stream: true\n      },\n      failedResponseHandler: groqFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(groqChatChunkSchema),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const toolCalls = [];\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    let isFirstChunk = true;\n    let isActiveText = false;\n    let isActiveReasoning = false;\n    let providerMetadata;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m;\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              finishReason = {\n                unified: \"error\",\n                raw: void 0\n              };\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            if (\"error\" in value) {\n              finishReason = {\n                unified: \"error\",\n                raw: void 0\n              };\n              controller.enqueue({ type: \"error\", error: value.error });\n              return;\n            }\n            if (isFirstChunk) {\n              isFirstChunk = false;\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value)\n              });\n            }\n            if (((_a = value.x_groq) == null ? void 0 : _a.usage) != null) {\n              usage = value.x_groq.usage;\n            }\n            const choice = value.choices[0];\n            if ((choice == null ? void 0 : choice.finish_reason) != null) {\n              finishReason = {\n                unified: mapGroqFinishReason(choice.finish_reason),\n                raw: choice.finish_reason\n              };\n            }\n            if ((choice == null ? void 0 : choice.delta) == null) {\n              return;\n            }\n            const delta = choice.delta;\n            if (delta.reasoning != null && delta.reasoning.length > 0) {\n              if (!isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-start\",\n                  id: \"reasoning-0\"\n                });\n                isActiveReasoning = true;\n              }\n              controller.enqueue({\n                type: \"reasoning-delta\",\n                id: \"reasoning-0\",\n                delta: delta.reasoning\n              });\n            }\n            if (delta.content != null && delta.content.length > 0) {\n              if (isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-end\",\n                  id: \"reasoning-0\"\n                });\n                isActiveReasoning = false;\n              }\n              if (!isActiveText) {\n                controller.enqueue({ type: \"text-start\", id: \"txt-0\" });\n                isActiveText = true;\n              }\n              controller.enqueue({\n                type: \"text-delta\",\n                id: \"txt-0\",\n                delta: delta.content\n              });\n            }\n            if (delta.tool_calls != null) {\n              if (isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-end\",\n                  id: \"reasoning-0\"\n                });\n                isActiveReasoning = false;\n              }\n              for (const toolCallDelta of delta.tool_calls) {\n                const index = toolCallDelta.index;\n                if (toolCalls[index] == null) {\n                  if (toolCallDelta.type !== \"function\") {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function' type.`\n                    });\n                  }\n                  if (toolCallDelta.id == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'id' to be a string.`\n                    });\n                  }\n                  if (((_b = toolCallDelta.function) == null ? void 0 : _b.name) == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function.name' to be a string.`\n                    });\n                  }\n                  controller.enqueue({\n                    type: \"tool-input-start\",\n                    id: toolCallDelta.id,\n                    toolName: toolCallDelta.function.name\n                  });\n                  toolCalls[index] = {\n                    id: toolCallDelta.id,\n                    type: \"function\",\n                    function: {\n                      name: toolCallDelta.function.name,\n                      arguments: (_c = toolCallDelta.function.arguments) != null ? _c : \"\"\n                    },\n                    hasFinished: false\n                  };\n                  const toolCall2 = toolCalls[index];\n                  if (((_d = toolCall2.function) == null ? void 0 : _d.name) != null && ((_e = toolCall2.function) == null ? void 0 : _e.arguments) != null) {\n                    if (toolCall2.function.arguments.length > 0) {\n                      controller.enqueue({\n                        type: \"tool-input-delta\",\n                        id: toolCall2.id,\n                        delta: toolCall2.function.arguments\n                      });\n                    }\n                    if (isParsableJson(toolCall2.function.arguments)) {\n                      controller.enqueue({\n                        type: \"tool-input-end\",\n                        id: toolCall2.id\n                      });\n                      controller.enqueue({\n                        type: \"tool-call\",\n                        toolCallId: (_f = toolCall2.id) != null ? _f : generateId(),\n                        toolName: toolCall2.function.name,\n                        input: toolCall2.function.arguments\n                      });\n                      toolCall2.hasFinished = true;\n                    }\n                  }\n                  continue;\n                }\n                const toolCall = toolCalls[index];\n                if (toolCall.hasFinished) {\n                  continue;\n                }\n                if (((_g = toolCallDelta.function) == null ? void 0 : _g.arguments) != null) {\n                  toolCall.function.arguments += (_i = (_h = toolCallDelta.function) == null ? void 0 : _h.arguments) != null ? _i : \"\";\n                }\n                controller.enqueue({\n                  type: \"tool-input-delta\",\n                  id: toolCall.id,\n                  delta: (_j = toolCallDelta.function.arguments) != null ? _j : \"\"\n                });\n                if (((_k = toolCall.function) == null ? void 0 : _k.name) != null && ((_l = toolCall.function) == null ? void 0 : _l.arguments) != null && isParsableJson(toolCall.function.arguments)) {\n                  controller.enqueue({\n                    type: \"tool-input-end\",\n                    id: toolCall.id\n                  });\n                  controller.enqueue({\n                    type: \"tool-call\",\n                    toolCallId: (_m = toolCall.id) != null ? _m : generateId(),\n                    toolName: toolCall.function.name,\n                    input: toolCall.function.arguments\n                  });\n                  toolCall.hasFinished = true;\n                }\n              }\n            }\n          },\n          flush(controller) {\n            if (isActiveReasoning) {\n              controller.enqueue({ type: \"reasoning-end\", id: \"reasoning-0\" });\n            }\n            if (isActiveText) {\n              controller.enqueue({ type: \"text-end\", id: \"txt-0\" });\n            }\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertGroqUsage(usage),\n              ...providerMetadata != null ? { providerMetadata } : {}\n            });\n          }\n        })\n      ),\n      request: { body },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nvar groqChatResponseSchema = z3.object({\n  id: z3.string().nullish(),\n  created: z3.number().nullish(),\n  model: z3.string().nullish(),\n  choices: z3.array(\n    z3.object({\n      message: z3.object({\n        content: z3.string().nullish(),\n        reasoning: z3.string().nullish(),\n        tool_calls: z3.array(\n          z3.object({\n            id: z3.string().nullish(),\n            type: z3.literal(\"function\"),\n            function: z3.object({\n              name: z3.string(),\n              arguments: z3.string()\n            })\n          })\n        ).nullish()\n      }),\n      index: z3.number(),\n      finish_reason: z3.string().nullish()\n    })\n  ),\n  usage: z3.object({\n    prompt_tokens: z3.number().nullish(),\n    completion_tokens: z3.number().nullish(),\n    total_tokens: z3.number().nullish(),\n    prompt_tokens_details: z3.object({\n      cached_tokens: z3.number().nullish()\n    }).nullish(),\n    completion_tokens_details: z3.object({\n      reasoning_tokens: z3.number().nullish()\n    }).nullish()\n  }).nullish()\n});\nvar groqChatChunkSchema = z3.union([\n  z3.object({\n    id: z3.string().nullish(),\n    created: z3.number().nullish(),\n    model: z3.string().nullish(),\n    choices: z3.array(\n      z3.object({\n        delta: z3.object({\n          content: z3.string().nullish(),\n          reasoning: z3.string().nullish(),\n          tool_calls: z3.array(\n            z3.object({\n              index: z3.number(),\n              id: z3.string().nullish(),\n              type: z3.literal(\"function\").optional(),\n              function: z3.object({\n                name: z3.string().nullish(),\n                arguments: z3.string().nullish()\n              })\n            })\n          ).nullish()\n        }).nullish(),\n        finish_reason: z3.string().nullable().optional(),\n        index: z3.number()\n      })\n    ),\n    x_groq: z3.object({\n      usage: z3.object({\n        prompt_tokens: z3.number().nullish(),\n        completion_tokens: z3.number().nullish(),\n        total_tokens: z3.number().nullish(),\n        prompt_tokens_details: z3.object({\n          cached_tokens: z3.number().nullish()\n        }).nullish(),\n        completion_tokens_details: z3.object({\n          reasoning_tokens: z3.number().nullish()\n        }).nullish()\n      }).nullish()\n    }).nullish()\n  }),\n  groqErrorDataSchema\n]);\n\n// src/groq-transcription-model.ts\nimport {\n  combineHeaders as combineHeaders2,\n  convertBase64ToUint8Array,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  mediaTypeToExtension,\n  parseProviderOptions as parseProviderOptions2,\n  postFormDataToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z5 } from \"zod/v4\";\n\n// src/groq-transcription-options.ts\nimport { lazySchema, zodSchema } from \"@ai-sdk/provider-utils\";\nimport { z as z4 } from \"zod/v4\";\nvar groqTranscriptionModelOptions = lazySchema(\n  () => zodSchema(\n    z4.object({\n      language: z4.string().nullish(),\n      prompt: z4.string().nullish(),\n      responseFormat: z4.string().nullish(),\n      temperature: z4.number().min(0).max(1).nullish(),\n      timestampGranularities: z4.array(z4.string()).nullish()\n    })\n  )\n);\n\n// src/groq-transcription-model.ts\nvar GroqTranscriptionModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    audio,\n    mediaType,\n    providerOptions\n  }) {\n    var _a, _b, _c, _d, _e;\n    const warnings = [];\n    const groqOptions = await parseProviderOptions2({\n      provider: \"groq\",\n      providerOptions,\n      schema: groqTranscriptionModelOptions\n    });\n    const formData = new FormData();\n    const blob = audio instanceof Uint8Array ? new Blob([audio]) : new Blob([convertBase64ToUint8Array(audio)]);\n    formData.append(\"model\", this.modelId);\n    const fileExtension = mediaTypeToExtension(mediaType);\n    formData.append(\n      \"file\",\n      new File([blob], \"audio\", { type: mediaType }),\n      `audio.${fileExtension}`\n    );\n    if (groqOptions) {\n      const transcriptionModelOptions = {\n        language: (_a = groqOptions.language) != null ? _a : void 0,\n        prompt: (_b = groqOptions.prompt) != null ? _b : void 0,\n        response_format: (_c = groqOptions.responseFormat) != null ? _c : void 0,\n        temperature: (_d = groqOptions.temperature) != null ? _d : void 0,\n        timestamp_granularities: (_e = groqOptions.timestampGranularities) != null ? _e : void 0\n      };\n      for (const key in transcriptionModelOptions) {\n        const value = transcriptionModelOptions[key];\n        if (value !== void 0) {\n          if (Array.isArray(value)) {\n            for (const item of value) {\n              formData.append(`${key}[]`, String(item));\n            }\n          } else {\n            formData.append(key, String(value));\n          }\n        }\n      }\n    }\n    return {\n      formData,\n      warnings\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g;\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    const { formData, warnings } = await this.getArgs(options);\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse\n    } = await postFormDataToApi({\n      url: this.config.url({\n        path: \"/audio/transcriptions\",\n        modelId: this.modelId\n      }),\n      headers: combineHeaders2(this.config.headers(), options.headers),\n      formData,\n      failedResponseHandler: groqFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler2(\n        groqTranscriptionResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      text: response.text,\n      segments: (_e = (_d = response.segments) == null ? void 0 : _d.map((segment) => ({\n        text: segment.text,\n        startSecond: segment.start,\n        endSecond: segment.end\n      }))) != null ? _e : [],\n      language: (_f = response.language) != null ? _f : void 0,\n      durationInSeconds: (_g = response.duration) != null ? _g : void 0,\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n        body: rawResponse\n      }\n    };\n  }\n};\nvar groqTranscriptionResponseSchema = z5.object({\n  text: z5.string(),\n  x_groq: z5.object({\n    id: z5.string()\n  }),\n  // additional properties are returned when `response_format: 'verbose_json'` is\n  task: z5.string().nullish(),\n  language: z5.string().nullish(),\n  duration: z5.number().nullish(),\n  segments: z5.array(\n    z5.object({\n      id: z5.number(),\n      seek: z5.number(),\n      start: z5.number(),\n      end: z5.number(),\n      text: z5.string(),\n      tokens: z5.array(z5.number()),\n      temperature: z5.number(),\n      avg_logprob: z5.number(),\n      compression_ratio: z5.number(),\n      no_speech_prob: z5.number()\n    })\n  ).nullish()\n});\n\n// src/tool/browser-search.ts\nimport { createProviderToolFactory } from \"@ai-sdk/provider-utils\";\nimport { z as z6 } from \"zod/v4\";\nvar browserSearch = createProviderToolFactory({\n  id: \"groq.browser_search\",\n  inputSchema: z6.object({})\n});\n\n// src/groq-tools.ts\nvar groqTools = {\n  browserSearch\n};\n\n// src/version.ts\nvar VERSION = true ? \"3.0.31\" : \"0.0.0-test\";\n\n// src/groq-provider.ts\nfunction createGroq(options = {}) {\n  var _a;\n  const baseURL = (_a = withoutTrailingSlash(options.baseURL)) != null ? _a : \"https://api.groq.com/openai/v1\";\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"GROQ_API_KEY\",\n        description: \"Groq\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/groq/${VERSION}`\n  );\n  const createChatModel = (modelId) => new GroqChatLanguageModel(modelId, {\n    provider: \"groq.chat\",\n    url: ({ path }) => `${baseURL}${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createLanguageModel = (modelId) => {\n    if (new.target) {\n      throw new Error(\n        \"The Groq model function cannot be called with the new keyword.\"\n      );\n    }\n    return createChatModel(modelId);\n  };\n  const createTranscriptionModel = (modelId) => {\n    return new GroqTranscriptionModel(modelId, {\n      provider: \"groq.transcription\",\n      url: ({ path }) => `${baseURL}${path}`,\n      headers: getHeaders,\n      fetch: options.fetch\n    });\n  };\n  const provider = function(modelId) {\n    return createLanguageModel(modelId);\n  };\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createLanguageModel;\n  provider.chat = createChatModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  provider.transcription = createTranscriptionModel;\n  provider.transcriptionModel = createTranscriptionModel;\n  provider.tools = groqTools;\n  return provider;\n}\nvar groq = createGroq();\nexport {\n  VERSION,\n  browserSearch,\n  createGroq,\n  groq\n};\n//# sourceMappingURL=index.mjs.map"
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+  "debugId": "747BC1822F15C3E764756E2164756E21",
+  "names": []
+}

bin/chunk-jaz9z9g7.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/start.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.start,\n  Effect.fn(\"cli.service.start\")(function* () {\n    const transport = yield* Service.ensure(yield* ServiceConfig.options())\n    process.stdout.write(transport.url + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";+0BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,WACnC,OAAO,QAAG,wBAAmB,OAAE,cAAU,OAAG,MAC1C,SAAM,OAAY,WAAO,OAAQ,YAAO,MAAO,EAAc,QAAQ,CAAC,EACtE,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
+  "debugId": "C4DA16569FB9E0C364756E2164756E21",
+  "names": []
+}

bin/chunk-k0bqr5h3.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/util/slug.ts"],
+  "sourcesContent": [
+    "export namespace Slug {\n  const ADJECTIVES = [\n    \"brave\",\n    \"calm\",\n    \"clever\",\n    \"cosmic\",\n    \"crisp\",\n    \"curious\",\n    \"eager\",\n    \"gentle\",\n    \"glowing\",\n    \"happy\",\n    \"hidden\",\n    \"jolly\",\n    \"kind\",\n    \"lucky\",\n    \"mighty\",\n    \"misty\",\n    \"neon\",\n    \"nimble\",\n    \"playful\",\n    \"proud\",\n    \"quick\",\n    \"quiet\",\n    \"shiny\",\n    \"silent\",\n    \"stellar\",\n    \"sunny\",\n    \"swift\",\n    \"tidy\",\n    \"witty\",\n  ] as const\n\n  const NOUNS = [\n    \"cabin\",\n    \"cactus\",\n    \"canyon\",\n    \"circuit\",\n    \"comet\",\n    \"eagle\",\n    \"engine\",\n    \"falcon\",\n    \"forest\",\n    \"garden\",\n    \"harbor\",\n    \"island\",\n    \"knight\",\n    \"lagoon\",\n    \"meadow\",\n    \"moon\",\n    \"mountain\",\n    \"nebula\",\n    \"orchid\",\n    \"otter\",\n    \"panda\",\n    \"pixel\",\n    \"planet\",\n    \"river\",\n    \"rocket\",\n    \"sailor\",\n    \"squid\",\n    \"star\",\n    \"tiger\",\n    \"wizard\",\n    \"wolf\",\n  ] as const\n\n  export function create() {\n    return [\n      ADJECTIVES[Math.floor(Math.random() * ADJECTIVES.length)],\n      NOUNS[Math.floor(Math.random() * NOUNS.length)],\n    ].join(\"-\")\n  }\n}\n"
+  ],
+  "mappings": ";AAAO,IAAU,GAAV,CAAU,IAAV,CACL,IAAM,EAAa,CACjB,QACA,OACA,SACA,SACA,QACA,UACA,QACA,SACA,UACA,QACA,SACA,QACA,OACA,QACA,SACA,QACA,OACA,SACA,UACA,QACA,QACA,QACA,QACA,SACA,UACA,QACA,QACA,OACA,OACF,EAEM,EAAQ,CACZ,QACA,SACA,SACA,UACA,QACA,QACA,SACA,SACA,SACA,SACA,SACA,SACA,SACA,SACA,SACA,OACA,WACA,SACA,SACA,QACA,QACA,QACA,SACA,QACA,SACA,SACA,QACA,OACA,QACA,SACA,MACF,EAEO,SAAS,CAAM,EAAG,CACvB,MAAO,CACL,EAAW,KAAK,MAAM,KAAK,OAAO,EAAI,EAAW,MAAM,GACvD,EAAM,KAAK,MAAM,KAAK,OAAO,EAAI,EAAM,MAAM,EAC/C,EAAE,KAAK,GAAG,EAJL,EAAS,WAnED",
+  "debugId": "FC84A19CCB63C25964756E2164756E21",
+  "names": []
+}

bin/chunk-k5nzbm9v.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/mini/runtime.queue.ts"],
+  "sourcesContent": [
+    "// Serial prompt queue for direct interactive mode.\n//\n// Prompts arrive from the footer (user types and hits enter) and local\n// operations drain one at a time. Ordinary prompts submitted during an active\n// ordinary turn are admitted immediately to the server's durable queue.\n//\n// The queue also handles local session commands, empty-prompt rejection,\n// and tracks per-turn wall-clock duration for the footer status line.\n//\n// Resolves when the footer closes and all in-flight work finishes.\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { Locale } from \"../util/locale\"\nimport { isCompactCommand, isExitCommand, isNewCommand } from \"./prompt.shared\"\nimport type { FooterApi, FooterEvent, RunPrompt } from \"./types\"\n\ntype Trace = {\n  write(type: string, data?: unknown): void\n}\n\nexport type QueueInput = {\n  footer: FooterApi\n  initialInput?: string\n  trace?: Trace\n  onSend?: (prompt: RunPrompt, delivery: \"steer\" | \"queue\") => void\n  onAdmissionError?: (prompt: RunPrompt, error: unknown) => void | Promise<void>\n  onNewSession?: () => void | Promise<void>\n  onCompact?: () => void | Promise<void>\n  admit: (prompt: RunPrompt, signal: AbortSignal) => Promise<void>\n  settle: () => Promise<void>\n  run: (prompt: RunPrompt, signal: AbortSignal, admitted: () => void) => Promise<void>\n}\n\ntype State = {\n  queue: RunPrompt[]\n  active?: RunPrompt\n  admission?: Promise<void>\n  ctrl?: AbortController\n  closed: boolean\n}\n\n// Runs the prompt queue until the footer closes.\n//\n// Subscribes to footer prompt events and drains operations through input.run().\n// Ordinary prompts submitted during an ordinary active turn are admitted as\n// durable queued work instead of remaining editable process-local state.\nexport async function runPromptQueue(input: QueueInput): Promise<void> {\n  const stop = Promise.withResolvers<{ type: \"closed\" }>()\n  const done = Promise.withResolvers<void>()\n  const state: State = {\n    queue: [],\n    closed: input.footer.isClosed,\n  }\n  let draining: Promise<void> | undefined\n  let admissions = Promise.resolve()\n  let admissionVersion = 0\n  const admissionController = new AbortController()\n\n  const emit = (next: FooterEvent, row: Record<string, unknown>) => {\n    input.trace?.write(\"ui.patch\", row)\n    input.footer.event(next)\n  }\n\n  const finish = () => {\n    if (!state.closed || draining) {\n      return\n    }\n\n    done.resolve()\n  }\n\n  const close = () => {\n    if (state.closed) {\n      return\n    }\n\n    state.closed = true\n    state.queue.length = 0\n    // Ordinary turn signals map to session.interrupt; exiting should only detach the TUI.\n    if (state.active?.mode === \"shell\") state.ctrl?.abort()\n    admissionController.abort()\n    stop.resolve({ type: \"closed\" })\n    finish()\n  }\n\n  const drain = () => {\n    if (draining || state.closed || state.queue.length === 0) {\n      return\n    }\n\n    draining = (async () => {\n      try {\n        while (!state.closed && state.queue.length > 0) {\n          const prompt = state.queue.shift()!\n\n          if (prompt.mode !== \"shell\" && isNewCommand(prompt.text)) {\n            if (!input.onNewSession) {\n              emit(\n                {\n                  type: \"stream.patch\",\n                  patch: {\n                    status: \"new sessions unavailable\",\n                  },\n                },\n                {\n                  status: \"new sessions unavailable\",\n                },\n              )\n              continue\n            }\n\n            emit(\n              {\n                type: \"stream.patch\",\n                patch: {\n                  phase: \"running\",\n                  status: \"starting new session\",\n                },\n              },\n              {\n                phase: \"running\",\n                status: \"starting new session\",\n              },\n            )\n            await input.onNewSession()\n            continue\n          }\n\n          if (prompt.mode !== \"shell\" && isCompactCommand(prompt.text)) {\n            emit(\n              {\n                type: \"stream.patch\",\n                patch: {\n                  phase: \"running\",\n                  status: \"compacting session\",\n                },\n              },\n              {\n                phase: \"running\",\n                status: \"compacting session\",\n              },\n            )\n            await input.onCompact?.()\n            continue\n          }\n\n          const sent =\n            prompt.mode === \"shell\"\n              ? prompt\n              : {\n                  ...prompt,\n                  messageID: prompt.messageID ?? SessionMessage.ID.create(),\n                }\n          state.active = sent\n\n          emit(\n            { type: \"turn.send\" },\n            {\n              phase: \"running\",\n              status: \"sending prompt\",\n            },\n          )\n          const start = Date.now()\n          const ctrl = new AbortController()\n          const admission = Promise.withResolvers<void>()\n          const version = admissionVersion\n          state.ctrl = ctrl\n          state.admission = admission.promise\n\n          try {\n            await input.footer.idle()\n            if (state.closed) {\n              break\n            }\n\n            if (sent.mode !== \"shell\") {\n              const commit = {\n                kind: \"user\",\n                text: sent.text,\n                phase: \"start\",\n                source: \"system\",\n                messageID: sent.messageID,\n              } as const\n              input.trace?.write(\"ui.commit\", commit)\n              input.footer.append(commit)\n            }\n            input.onSend?.(sent, \"steer\")\n\n            if (state.closed) {\n              break\n            }\n\n            const task = input.run(sent, ctrl.signal, admission.resolve).then(\n              () => ({ type: \"done\" as const }),\n              (error) => ({ type: \"error\" as const, error }),\n            )\n\n            const next = await Promise.race([task, stop.promise])\n            if (next.type === \"closed\") {\n              break\n            }\n\n            if (next.type === \"error\") {\n              throw next.error\n            }\n            if (sent.mode !== \"shell\" && admissionVersion !== version) {\n              do {\n                const current = admissionVersion\n                await admissions\n                if (state.closed) break\n                await input.settle()\n                if (current === admissionVersion) break\n              } while (!state.closed)\n            }\n          } finally {\n            admission.resolve()\n            if (state.ctrl === ctrl) {\n              state.ctrl = undefined\n            }\n            if (state.admission === admission.promise) state.admission = undefined\n\n            if (sent.mode !== \"shell\") {\n              const duration = Locale.duration(Math.max(0, Date.now() - start))\n              emit(\n                {\n                  type: \"turn.duration\",\n                  duration,\n                },\n                {\n                  duration,\n                },\n              )\n            }\n            state.active = undefined\n          }\n        }\n      } catch (error) {\n        done.reject(error)\n        return\n      } finally {\n        draining = undefined\n        emit(\n          { type: \"turn.idle\" },\n          {\n            phase: \"idle\",\n            status: \"\",\n          },\n        )\n      }\n\n      finish()\n    })()\n  }\n\n  const submit = (prompt: RunPrompt) => {\n    if (!prompt.text.trim() || state.closed) {\n      return\n    }\n\n    if (prompt.mode !== \"shell\" && isExitCommand(prompt.text)) {\n      input.footer.close()\n      return\n    }\n\n    const active = state.active\n    if (\n      active &&\n      active.mode !== \"shell\" &&\n      prompt.mode !== \"shell\" &&\n      prompt.command?.source !== \"skill\" &&\n      !isNewCommand(prompt.text) &&\n      !isCompactCommand(prompt.text) &&\n      !state.queue.some(\n        (item) => item.mode !== \"shell\" && (isNewCommand(item.text) || isCompactCommand(item.text)),\n      )\n    ) {\n      const sent = { ...prompt, messageID: SessionMessage.ID.create() }\n      const admission = state.admission\n      admissionVersion += 1\n      input.onSend?.(sent, \"queue\")\n      admissions = admissions\n        .then(() => admission)\n        .then(() => input.admit(sent, admissionController.signal))\n        .catch((error) => (state.closed ? undefined : input.onAdmissionError?.(sent, error)))\n      return\n    }\n\n    state.queue.push(prompt)\n    if (prompt.mode !== \"shell\" && (isNewCommand(prompt.text) || isCompactCommand(prompt.text))) {\n      drain()\n      return\n    }\n\n    emit(\n      {\n        type: \"first\",\n        first: false,\n      },\n      {\n        first: false,\n      },\n    )\n    drain()\n  }\n\n  const offPrompt = input.footer.onPrompt((prompt) => {\n    submit(prompt)\n  })\n  const offClose = input.footer.onClose(() => {\n    close()\n  })\n  try {\n    if (state.closed) {\n      return\n    }\n\n    submit({\n      text: input.initialInput ?? \"\",\n      parts: [],\n    })\n    finish()\n    await done.promise\n  } finally {\n    offPrompt()\n    offClose()\n    close()\n    await draining?.catch(() => {})\n    await admissions\n  }\n}\n"
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+  "debugId": "4808CC2FA63F4F7664756E2164756E21",
+  "names": []
+}

bin/chunk-kajsb2t2.js.map

+{
+  "version": 3,
+  "sources": ["../schema/src/prompt.ts", "../schema/src/shell.ts", "../schema/src/session-error.ts", "../schema/src/session-id.ts", "../schema/src/permission.ts", "../schema/src/agent.ts", "../schema/src/skill.ts", "../schema/src/snapshot.ts", "../schema/src/token-usage.ts", "../schema/src/session-message.ts"],
+  "sourcesContent": [
+    "import { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { statics } from \"./schema.js\"\n\nexport interface PromptMention extends Schema.Schema.Type<typeof PromptMention> {}\nexport const PromptMention = Schema.Struct({\n  start: Schema.Finite,\n  end: Schema.Finite,\n  text: Schema.String,\n}).annotate({ identifier: \"Prompt.Mention\" })\n\nexport const FileSource = Schema.Union([\n  Schema.Struct({ type: Schema.Literal(\"inline\") }),\n  Schema.Struct({ type: Schema.Literal(\"uri\"), uri: Schema.String }),\n])\n  .pipe(Schema.toTaggedUnion(\"type\"))\n  .annotate({ identifier: \"Prompt.FileSource\" })\nexport type FileSource = typeof FileSource.Type\n\nexport const Base64 = Schema.String.check(\n  Schema.isPattern(/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/),\n).annotate({ identifier: \"Prompt.Base64\" })\nexport type Base64 = typeof Base64.Type\n\nexport interface FileAttachment extends Schema.Schema.Type<typeof FileAttachment> {}\nexport const FileAttachment = Schema.Struct({\n  data: Base64,\n  mime: Schema.String,\n  source: FileSource,\n  name: Schema.String.pipe(optional),\n  description: Schema.String.pipe(optional),\n  mention: PromptMention.pipe(optional),\n})\n  .annotate({ identifier: \"Prompt.FileAttachment\" })\n  .pipe(\n    statics((schema) => ({\n      create: (input: FileAttachment) =>\n        schema.make({\n          data: input.data,\n          mime: input.mime,\n          source: input.source,\n          name: input.name,\n          description: input.description,\n          mention: input.mention,\n        }),\n    })),\n  )\n\nexport interface AgentAttachment extends Schema.Schema.Type<typeof AgentAttachment> {}\nexport const AgentAttachment = Schema.Struct({\n  name: Schema.String,\n  mention: PromptMention.pipe(optional),\n}).annotate({ identifier: \"Prompt.AgentAttachment\" })\n\nexport interface Prompt extends Schema.Schema.Type<typeof Prompt> {}\nexport const Prompt = Schema.Struct({\n  text: Schema.String,\n  files: Schema.Array(FileAttachment).pipe(optional),\n  agents: Schema.Array(AgentAttachment).pipe(optional),\n})\n  .annotate({ identifier: \"Prompt\" })\n  .pipe(\n    statics((schema) => ({\n      equivalence: Schema.toEquivalence(schema),\n      fromUserMessage: (input: Pick<Prompt, \"text\" | \"files\" | \"agents\">) =>\n        schema.make({\n          text: input.text,\n          ...(input.files === undefined ? {} : { files: input.files }),\n          ...(input.agents === undefined ? {} : { agents: input.agents }),\n        }),\n    })),\n  )\n",
+    "export * as Shell from \"./shell.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, statics } from \"./schema.js\"\n\nconst IDSchema = Schema.String.check(Schema.isStartsWith(\"sh_\")).pipe(Schema.brand(\"Shell.ID\"))\n\nexport const ID = IDSchema.pipe(\n  statics((schema: typeof IDSchema) => {\n    const create = () => schema.make(\"sh_\" + ascending())\n    return {\n      create,\n      ascending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n    }\n  }),\n)\nexport type ID = typeof ID.Type\n\nexport const Status = Schema.Literals([\"running\", \"exited\", \"timeout\", \"killed\"])\nexport type Status = typeof Status.Type\n\nexport const Time = Schema.Struct({\n  started: Schema.Finite,\n  completed: optional(Schema.Finite),\n})\nexport interface Time extends Schema.Schema.Type<typeof Time> {}\n\n// Opaque caller-supplied tags echoed back on Info and events. The Shell service never interprets\n// these; callers (e.g. ShellTool stores the originating session ID) use them to filter or correlate.\nexport const Metadata = Schema.Record(Schema.String, Schema.Unknown)\nexport type Metadata = typeof Metadata.Type\n\nexport const Info = Schema.Struct({\n  id: ID,\n  status: Status,\n  command: Schema.String,\n  cwd: Schema.String,\n  shell: Schema.String,\n  // Absolute path of the file capturing combined stdout/stderr. Page through it via `output`.\n  file: Schema.String,\n  pid: optional(NonNegativeInt),\n  exit: optional(Schema.Finite),\n  // Always present; defaults to an empty object when the creator supplies no metadata.\n  metadata: Metadata,\n  time: Time,\n}).annotate({ identifier: \"Shell.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nconst Created = ephemeral({ type: \"shell.created\", schema: { info: Info } })\nconst Exited = ephemeral({ type: \"shell.exited\", schema: { id: ID, exit: optional(Schema.Finite), status: Status } })\nconst Deleted = ephemeral({ type: \"shell.deleted\", schema: { id: ID } })\nexport const Event = { Created, Exited, Deleted, Definitions: inventory(Created, Exited, Deleted) }\n\nexport const CreateInput = Schema.Struct({\n  command: Schema.String,\n  cwd: optional(Schema.String),\n  timeout: NonNegativeInt,\n  metadata: optional(Metadata),\n})\nexport interface CreateInput extends Schema.Schema.Type<typeof CreateInput> {}\n\nexport const OutputInput = Schema.Struct({\n  cursor: optional(NonNegativeInt),\n  limit: optional(NonNegativeInt),\n})\nexport interface OutputInput extends Schema.Schema.Type<typeof OutputInput> {}\n\nexport const Output = Schema.Struct({\n  output: Schema.String,\n  // Absolute cursor after this page. Equals `size` once fully caught up.\n  cursor: NonNegativeInt,\n  // Total bytes captured so far. A consumer has more to page while `cursor < size`.\n  size: NonNegativeInt,\n  truncated: Schema.Boolean,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n",
+    "export * as SessionError from \"./session-error.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\n\nexport interface Error extends Schema.Schema.Type<typeof Error> {}\nexport const Error = Schema.Struct({\n  type: Schema.String,\n  message: Schema.String,\n  status: Schema.Int.check(Schema.isBetween({ minimum: 100, maximum: 599 })).pipe(optional),\n}).annotate({ identifier: \"Session.StructuredError\" })\n",
+    "import { Schema } from \"effect\"\nimport { descending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\n\nexport const SessionID = Schema.String.check(Schema.isStartsWith(\"ses\")).pipe(\n  Schema.brand(\"SessionID\"),\n  statics((schema) => {\n    const create = () => schema.make(\"ses_\" + descending())\n    return {\n      create,\n      descending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n    }\n  }),\n)\nexport type SessionID = typeof SessionID.Type\n",
+    "export * as Permission from \"./permission.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"per\")).pipe(\n  Schema.brand(\"Permission.ID\"),\n  statics((schema) => ({ create: (id?: string) => schema.make(id ?? \"per_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Source = Schema.Union([\n  Schema.Struct({\n    type: Schema.Literal(\"tool\"),\n    messageID: Schema.String,\n    callID: Schema.String,\n  }),\n]).annotate({ identifier: \"Permission.Source\" })\nexport type Source = typeof Source.Type\n\nconst RequestFields = {\n  sessionID: SessionID,\n  action: Schema.String,\n  resources: Schema.Array(Schema.String),\n  save: Schema.Array(Schema.String).pipe(optional),\n  metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n  source: Source.pipe(optional),\n}\n\nexport const Request = Schema.Struct({\n  id: ID,\n  ...RequestFields,\n}).annotate({ identifier: \"Permission.Request\" })\nexport interface Request extends Schema.Schema.Type<typeof Request> {}\n\nexport const Reply = Schema.Literals([\"once\", \"always\", \"reject\"]).annotate({ identifier: \"Permission.Reply\" })\nexport type Reply = typeof Reply.Type\n\nconst Asked = ephemeral({ type: \"permission.asked\", schema: Request.fields })\nconst Replied = ephemeral({\n  type: \"permission.replied\",\n  schema: {\n    sessionID: SessionID,\n    requestID: ID,\n    reply: Reply,\n  },\n})\nexport const Event = { Asked, Replied, Definitions: inventory(Asked, Replied) }\n\nexport const Effect = Schema.Literals([\"allow\", \"deny\", \"ask\"]).annotate({ identifier: \"Permission.Effect\" })\nexport type Effect = typeof Effect.Type\n\nexport interface Rule extends Schema.Schema.Type<typeof Rule> {}\nexport const Rule = Schema.Struct({\n  action: Schema.String,\n  resource: Schema.String,\n  effect: Effect,\n}).annotate({ identifier: \"Permission.Rule\" })\n\nexport const Ruleset = Schema.Array(Rule).annotate({ identifier: \"Permission.Ruleset\" })\nexport type Ruleset = typeof Ruleset.Type\n",
+    "export * as Agent from \"./agent.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Permission } from \"./permission.js\"\nimport { Provider } from \"./provider.js\"\nimport { PositiveInt, statics } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"agent.updated\", schema: {} })\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Agent.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Agent.Name\"))\nexport type Name = typeof Name.Type\n\nexport const Color = Schema.String.annotate({ identifier: \"Agent.Color\" })\nexport type Color = typeof Color.Type\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  id: ID,\n  name: Name,\n  model: Model.Ref.pipe(optional),\n  request: Provider.Request,\n  system: Schema.String.pipe(optional),\n  description: Schema.String.pipe(optional),\n  mode: Schema.Literals([\"subagent\", \"primary\", \"all\"]),\n  hidden: Schema.Boolean,\n  color: Color.pipe(optional),\n  steps: PositiveInt.pipe(optional),\n  permissions: Permission.Ruleset,\n})\n  .annotate({ identifier: \"Agent.Info\" })\n  .pipe(\n    statics(() => ({\n      empty: (id: ID) =>\n        ({\n          id,\n          name: Name.make(id),\n          request: { settings: {}, headers: {}, body: {} },\n          mode: \"all\",\n          hidden: false,\n          permissions: [\n            { action: \"*\", resource: \"*\", effect: \"allow\" },\n            { action: \"external_directory\", resource: \"*\", effect: \"ask\" },\n          ],\n        }) satisfies Info,\n    })),\n  )\n\nexport const Event = {\n  Updated,\n  Definitions: inventory(Updated),\n}\n",
+    "export * as Skill from \"./skill.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { AbsolutePath } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Skill.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Skill.Name\"))\nexport type Name = typeof Name.Type\n\nexport interface DirectorySource extends Schema.Schema.Type<typeof DirectorySource> {}\nexport const DirectorySource = Schema.Struct({\n  type: Schema.tag(\"directory\"),\n  path: AbsolutePath,\n}).annotate({ identifier: \"Skill.DirectorySource\" })\n\nexport interface UrlSource extends Schema.Schema.Type<typeof UrlSource> {}\nexport const UrlSource = Schema.Struct({\n  type: Schema.tag(\"url\"),\n  url: Schema.String,\n}).annotate({ identifier: \"Skill.UrlSource\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  id: ID,\n  name: Name,\n  description: Schema.String.pipe(optional),\n  slash: Schema.Boolean.pipe(optional),\n  autoinvoke: Schema.Boolean.pipe(optional),\n  location: AbsolutePath,\n  content: Schema.String,\n}).annotate({ identifier: \"Skill.Info\" })\n\nconst Updated = ephemeral({ type: \"skill.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface EmbeddedSource extends Schema.Schema.Type<typeof EmbeddedSource> {}\nexport const EmbeddedSource = Schema.Struct({\n  type: Schema.tag(\"embedded\"),\n  skill: Schema.suspend(() => Info),\n}).annotate({ identifier: \"Skill.EmbeddedSource\" })\n\nexport type Source = DirectorySource | UrlSource | EmbeddedSource\nexport const Source = Object.assign(\n  Schema.Union([DirectorySource, UrlSource, EmbeddedSource]).pipe(\n    Schema.toTaggedUnion(\"type\"),\n    Schema.annotate({ identifier: \"Skill.Source\" }),\n  ),\n  {\n    equals: (a: Source, b: Source) => {\n      if (a.type !== b.type) return false\n      if (a.type === \"directory\" && b.type === \"directory\") return a.path === b.path\n      if (a.type === \"url\" && b.type === \"url\") return a.url === b.url\n      if (a.type === \"embedded\" && b.type === \"embedded\") return a.skill.id === b.skill.id\n      return false\n    },\n    key: (source: Source) =>\n      source.type === \"directory\"\n        ? `directory:${source.path}`\n        : source.type === \"url\"\n          ? `url:${source.url}`\n          : `embedded:${source.skill.id}`,\n  },\n)\n",
+    "export * as Snapshot from \"./snapshot.js\"\n\nimport { Schema } from \"effect\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Snapshot.ID\"))\nexport type ID = typeof ID.Type\n",
+    "export * as TokenUsage from \"./token-usage.js\"\n\nimport { Schema } from \"effect\"\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  input: Schema.Finite,\n  output: Schema.Finite,\n  reasoning: Schema.Finite,\n  cache: Schema.Struct({\n    read: Schema.Finite,\n    write: Schema.Finite,\n  }),\n}).annotate({ identifier: \"TokenUsage.Info\" })\n",
+    "export * as SessionMessage from \"./session-message.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { Content } from \"./tool.js\"\nimport { Model } from \"./model.js\"\nimport { Prompt } from \"./prompt.js\"\nimport { DateTimeUtcFromMillis, PositiveInt, RelativePath, statics } from \"./schema.js\"\nimport { ascending } from \"./identifier.js\"\nimport { Event } from \"./event.js\"\nimport { Shell as ShellSchema } from \"./shell.js\"\nimport { FinishReason } from \"./llm.js\"\nimport { SessionError } from \"./session-error.js\"\nimport { Agent } from \"./agent.js\"\nimport { Skill as SkillSchema } from \"./skill.js\"\nimport { Money } from \"./money.js\"\nimport { Snapshot } from \"./snapshot.js\"\nimport { TokenUsage } from \"./token-usage.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"msg_\")).pipe(\n  Schema.brand(\"Session.Message.ID\"),\n  statics((schema) => ({\n    create: () => schema.make(\"msg_\" + ascending()),\n    fromEvent: (eventID: Event.ID) => schema.make(eventID.replace(/^evt_/, \"msg_\")),\n  })),\n)\nexport type ID = typeof ID.Type\n\nconst Base = {\n  id: ID,\n  metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n  time: Schema.Struct({ created: DateTimeUtcFromMillis }),\n}\n\nexport const ProviderState = Schema.Record(Schema.String, Schema.Unknown).annotate({\n  identifier: \"Session.Message.ProviderState\",\n})\nexport type ProviderState = typeof ProviderState.Type\n\nexport interface AgentSelected extends Schema.Schema.Type<typeof AgentSelected> {}\nexport const AgentSelected = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"agent-switched\"),\n  agent: Agent.ID,\n}).annotate({ identifier: \"Session.Message.AgentSelected\" })\n\nexport interface ModelSelected extends Schema.Schema.Type<typeof ModelSelected> {}\nexport const ModelSelected = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"model-switched\"),\n  model: Model.Ref,\n  previous: Model.Ref.pipe(optional),\n}).annotate({ identifier: \"Session.Message.ModelSelected\" })\n\nexport interface User extends Schema.Schema.Type<typeof User> {}\nexport const User = Schema.Struct({\n  ...Base,\n  text: Prompt.fields.text,\n  files: Prompt.fields.files,\n  agents: Prompt.fields.agents,\n  type: Schema.tag(\"user\"),\n}).annotate({ identifier: \"Session.Message.User\" })\n\nexport interface Synthetic extends Schema.Schema.Type<typeof Synthetic> {}\nexport const Synthetic = Schema.Struct({\n  ...Base,\n  text: Schema.String,\n  description: Schema.String.pipe(optional),\n  type: Schema.tag(\"synthetic\"),\n}).annotate({ identifier: \"Session.Message.Synthetic\" })\n\nexport interface System extends Schema.Schema.Type<typeof System> {}\nexport const System = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"system\"),\n  text: Schema.String,\n}).annotate({ identifier: \"Session.Message.System\" })\n\nexport interface Skill extends Schema.Schema.Type<typeof Skill> {}\nexport const Skill = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"skill\"),\n  skill: SkillSchema.ID,\n  name: SkillSchema.Name,\n  text: Schema.String,\n}).annotate({ identifier: \"Session.Message.Skill\" })\n\nexport interface Shell extends Schema.Schema.Type<typeof Shell> {}\nexport const Shell = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"shell\"),\n  shellID: ShellSchema.ID,\n  command: Schema.String,\n  status: ShellSchema.Status,\n  exit: Schema.Number.pipe(optional),\n  output: ShellSchema.Output.pipe(optional),\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }),\n}).annotate({ identifier: \"Session.Message.Shell\" })\n\nexport interface ToolStateStreaming extends Schema.Schema.Type<typeof ToolStateStreaming> {}\nexport const ToolStateStreaming = Schema.Struct({\n  status: Schema.tag(\"streaming\"),\n  input: Schema.String,\n}).annotate({ identifier: \"Session.Message.ToolState.Streaming\" })\n\nexport interface ToolStateRunning extends Schema.Schema.Type<typeof ToolStateRunning> {}\nexport const ToolStateRunning = Schema.Struct({\n  status: Schema.tag(\"running\"),\n  input: Schema.Record(Schema.String, Schema.Unknown),\n  metadata: Schema.Record(Schema.String, Schema.Json),\n}).annotate({ identifier: \"Session.Message.ToolState.Running\" })\n\nexport interface ToolStateCompleted extends Schema.Schema.Type<typeof ToolStateCompleted> {}\nexport const ToolStateCompleted = Schema.Struct({\n  status: Schema.tag(\"completed\"),\n  input: Schema.Record(Schema.String, Schema.Unknown),\n  content: Schema.NonEmptyArray(Content),\n  metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Completed\" })\n\nexport interface ToolStateError extends Schema.Schema.Type<typeof ToolStateError> {}\nexport const ToolStateError = Schema.Struct({\n  status: Schema.tag(\"error\"),\n  input: Schema.Record(Schema.String, Schema.Unknown),\n  error: SessionError.Error,\n  content: Schema.NonEmptyArray(Content).pipe(optional),\n  metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Error\" })\n\nexport const ToolState = Schema.Union([ToolStateStreaming, ToolStateRunning, ToolStateCompleted, ToolStateError]).pipe(\n  Schema.toTaggedUnion(\"status\"),\n)\nexport type ToolState = ToolStateStreaming | ToolStateRunning | ToolStateCompleted | ToolStateError\n\nexport interface AssistantTool extends Schema.Schema.Type<typeof AssistantTool> {}\nexport const AssistantTool = Schema.Struct({\n  type: Schema.tag(\"tool\"),\n  id: Schema.String,\n  name: Schema.String,\n  executed: Schema.Boolean.pipe(optional),\n  providerState: ProviderState.pipe(optional),\n  providerResultState: ProviderState.pipe(optional),\n  state: ToolState,\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    ran: DateTimeUtcFromMillis.pipe(optional),\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }),\n}).annotate({ identifier: \"Session.Message.Assistant.Tool\" })\n\nexport interface AssistantText extends Schema.Schema.Type<typeof AssistantText> {}\nexport const AssistantText = Schema.Struct({\n  type: Schema.tag(\"text\"),\n  text: Schema.String,\n  state: ProviderState.pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Text\" })\n\nexport interface AssistantReasoning extends Schema.Schema.Type<typeof AssistantReasoning> {}\nexport const AssistantReasoning = Schema.Struct({\n  type: Schema.tag(\"reasoning\"),\n  text: Schema.String,\n  state: ProviderState.pipe(optional),\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }).pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Reasoning\" })\n\nexport const AssistantContent = Schema.Union([AssistantText, AssistantReasoning, AssistantTool]).pipe(\n  Schema.toTaggedUnion(\"type\"),\n)\nexport type AssistantContent = AssistantText | AssistantReasoning | AssistantTool\n\nexport interface AssistantRetry extends Schema.Schema.Type<typeof AssistantRetry> {}\nexport const AssistantRetry = Schema.Struct({\n  attempt: PositiveInt,\n  at: DateTimeUtcFromMillis,\n  error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Assistant.Retry\" })\n\nexport interface Assistant extends Schema.Schema.Type<typeof Assistant> {}\nexport const Assistant = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"assistant\"),\n  agent: Agent.ID,\n  model: Model.Ref,\n  content: AssistantContent.pipe(Schema.Array),\n  snapshot: Schema.Struct({\n    start: Snapshot.ID.pipe(optional),\n    end: Snapshot.ID.pipe(optional),\n    files: Schema.Array(RelativePath).pipe(optional),\n  }).pipe(optional),\n  finish: FinishReason.pipe(optional),\n  cost: Money.USD.pipe(optional),\n  tokens: TokenUsage.Info.pipe(optional),\n  error: SessionError.Error.pipe(optional),\n  retry: AssistantRetry.pipe(optional),\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }),\n}).annotate({ identifier: \"Session.Message.Assistant\" })\n\nconst CompactionBase = { type: Schema.tag(\"compaction\"), ...Base }\n\nexport interface CompactionRunning extends Schema.Schema.Type<typeof CompactionRunning> {}\nexport const CompactionRunning = Schema.Struct({\n  ...CompactionBase,\n  status: Schema.tag(\"running\"),\n  reason: Schema.Literals([\"auto\", \"manual\"]),\n  summary: Schema.String,\n  recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Running\" })\n\nexport interface CompactionCompleted extends Schema.Schema.Type<typeof CompactionCompleted> {}\nexport const CompactionCompleted = Schema.Struct({\n  ...CompactionBase,\n  status: Schema.tag(\"completed\"),\n  reason: Schema.Literals([\"auto\", \"manual\"]),\n  summary: Schema.String,\n  recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Completed\" })\n\nexport interface CompactionFailed extends Schema.Schema.Type<typeof CompactionFailed> {}\nexport const CompactionFailed = Schema.Struct({\n  ...CompactionBase,\n  status: Schema.tag(\"failed\"),\n  reason: Schema.Literals([\"auto\", \"manual\"]),\n  error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Compaction.Failed\" })\n\nexport const Compaction = Schema.Union([CompactionRunning, CompactionCompleted, CompactionFailed]).pipe(\n  Schema.toTaggedUnion(\"status\"),\n  Schema.annotate({ identifier: \"Session.Message.Compaction\" }),\n)\nexport type Compaction = CompactionRunning | CompactionCompleted | CompactionFailed\n\nexport const Info = Schema.Union([\n  AgentSelected,\n  ModelSelected,\n  User,\n  Synthetic,\n  System,\n  Skill,\n  Shell,\n  Assistant,\n  Compaction,\n]).annotate({ identifier: \"Session.Message.Info\" })\nexport type Info = AgentSelected | ModelSelected | User | Synthetic | System | Skill | Shell | Assistant | Compaction\nexport type Type = Info[\"type\"]\n"
+  ],
+  "mappings": 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+}

bin/chunk-kv02ejgv.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/theme/system.ts"],
+  "sourcesContent": [
+    "import { RGBA, type TerminalColors } from \"@opentui/core\"\nimport { ansiToRgba, tint } from \"./color\"\n\nexport function terminalMode(colors: TerminalColors): \"dark\" | \"light\" | undefined {\n  const bg = colors.defaultBackground\n  if (!bg) return\n  const { r, g, b } = RGBA.fromHex(bg)\n  return 0.299 * r + 0.587 * g + 0.114 * b > 0.5 ? \"light\" : \"dark\"\n}\n\nexport function generateSystem(colors: TerminalColors, mode: \"dark\" | \"light\") {\n  const bg = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n  const fg = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n  const transparent = RGBA.fromValues(bg.r, bg.g, bg.b, 0)\n  const isDark = mode === \"dark\"\n\n  const col = (index: number) => {\n    const value = colors.palette[index]\n    if (value) return RGBA.fromHex(value)\n    return ansiToRgba(index)\n  }\n\n  const grays = generateGrayScale(bg, isDark)\n  const textMuted = generateMutedTextColor(bg, isDark)\n  const ansiColors = {\n    red: col(1),\n    green: col(2),\n    yellow: col(3),\n    blue: col(4),\n    magenta: col(5),\n    cyan: col(6),\n    redBright: col(9),\n    greenBright: col(10),\n  }\n\n  const diffAlpha = isDark ? 0.22 : 0.14\n  const diffAddedBg = tint(bg, ansiColors.green, diffAlpha)\n  const diffRemovedBg = tint(bg, ansiColors.red, diffAlpha)\n  const diffContextBg = grays[2]\n  const diffAddedLineNumberBg = tint(diffContextBg, ansiColors.green, diffAlpha)\n  const diffRemovedLineNumberBg = tint(diffContextBg, ansiColors.red, diffAlpha)\n\n  return {\n    theme: {\n      primary: ansiColors.cyan,\n      secondary: ansiColors.magenta,\n      accent: ansiColors.cyan,\n      error: ansiColors.red,\n      warning: ansiColors.yellow,\n      success: ansiColors.green,\n      info: ansiColors.cyan,\n      text: fg,\n      textMuted,\n      selectedListItemText: bg,\n      background: transparent,\n      backgroundPanel: grays[2],\n      backgroundElement: grays[3],\n      backgroundMenu: grays[3],\n      borderSubtle: grays[6],\n      border: grays[7],\n      borderActive: grays[8],\n      diffAdded: ansiColors.green,\n      diffRemoved: ansiColors.red,\n      diffContext: grays[7],\n      diffHunkHeader: grays[7],\n      diffHighlightAdded: ansiColors.greenBright,\n      diffHighlightRemoved: ansiColors.redBright,\n      diffAddedBg,\n      diffRemovedBg,\n      diffContextBg,\n      diffLineNumber: textMuted,\n      diffAddedLineNumberBg,\n      diffRemovedLineNumberBg,\n      markdownText: fg,\n      markdownHeading: fg,\n      markdownLink: ansiColors.blue,\n      markdownLinkText: ansiColors.cyan,\n      markdownCode: ansiColors.green,\n      markdownBlockQuote: ansiColors.yellow,\n      markdownEmph: ansiColors.yellow,\n      markdownStrong: fg,\n      markdownHorizontalRule: grays[7],\n      markdownListItem: ansiColors.blue,\n      markdownListEnumeration: ansiColors.cyan,\n      markdownImage: ansiColors.blue,\n      markdownImageText: ansiColors.cyan,\n      markdownCodeBlock: fg,\n      syntaxComment: textMuted,\n      syntaxKeyword: ansiColors.magenta,\n      syntaxFunction: ansiColors.blue,\n      syntaxVariable: fg,\n      syntaxString: ansiColors.green,\n      syntaxNumber: ansiColors.yellow,\n      syntaxType: ansiColors.cyan,\n      syntaxOperator: ansiColors.cyan,\n      syntaxPunctuation: fg,\n    },\n  }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean): Record<number, RGBA> {\n  const grays: Record<number, RGBA> = {}\n  const bgR = bg.r * 255\n  const bgG = bg.g * 255\n  const bgB = bg.b * 255\n  const luminance = 0.299 * bgR + 0.587 * bgG + 0.114 * bgB\n\n  for (let i = 1; i <= 12; i++) {\n    const factor = i / 12\n\n    if (isDark && luminance < 10) {\n      const gray = Math.floor(factor * 0.4 * 255)\n      grays[i] = RGBA.fromInts(gray, gray, gray)\n      continue\n    }\n\n    if (!isDark && luminance > 245) {\n      const gray = Math.floor(255 - factor * 0.4 * 255)\n      grays[i] = RGBA.fromInts(gray, gray, gray)\n      continue\n    }\n\n    const next = isDark ? luminance + (255 - luminance) * factor * 0.4 : luminance * (1 - factor * 0.4)\n    const ratio = next / luminance\n    grays[i] = RGBA.fromInts(\n      Math.floor(Math.min(Math.max(bgR * ratio, 0), 255)),\n      Math.floor(Math.min(Math.max(bgG * ratio, 0), 255)),\n      Math.floor(Math.min(Math.max(bgB * ratio, 0), 255)),\n    )\n  }\n\n  return grays\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean): RGBA {\n  const luminance = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n  if (isDark) {\n    const gray = luminance < 10 ? 180 : Math.min(Math.floor(160 + luminance * 0.3), 200)\n    return RGBA.fromInts(gray, gray, gray)\n  }\n\n  const gray = luminance > 245 ? 75 : Math.max(Math.floor(100 - (255 - luminance) * 0.2), 60)\n  return RGBA.fromInts(gray, gray, gray)\n}\n"
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+}

bin/chunk-kwg7q5t9.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"],
+  "sourcesContent": [
+    "import type { ProviderPackage } from \"../provider-package\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { ProviderID, type ModelID } from \"../schema\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic-compatible\")\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport type Settings = ProviderPackage.Settings &\n  (\n    | { readonly apiKey?: string; readonly authToken?: never }\n    | { readonly apiKey?: never; readonly authToken?: string }\n  ) & {\n    readonly baseURL: string\n    readonly provider?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport const routes = [AnthropicMessages.route]\n\nconst auth = (input: ProviderAuthOption<\"optional\">) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\").pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config) => {\n  if (!input.baseURL) throw new Error(\"Anthropic-compatible providers require a baseURL\")\n  const provider = input.provider ?? \"anthropic-compatible\"\n  const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n  const route = AnthropicMessages.route.with({\n    ...rest,\n    provider,\n    endpoint: { baseURL },\n    auth: auth(input),\n  })\n  return {\n    id: ProviderID.make(provider),\n    model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic-compatible apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible\"\n",
+    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { AnthropicCompatible } from \"./anthropic-compatible\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic\")\n\nexport const routes = [AnthropicMessages.route]\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport type Settings = ProviderPackage.Settings &\n  (\n    | { readonly apiKey?: string; readonly authToken?: never }\n    | { readonly apiKey?: never; readonly authToken?: string }\n  ) & {\n    readonly baseURL?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n    .orElse(Auth.config(\"ANTHROPIC_API_KEY\"))\n    .pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config = {}) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  const compatible = AnthropicCompatible.configure({\n    ...rest,\n    auth: auth(input),\n    baseURL: baseURL ?? AnthropicMessages.DEFAULT_BASE_URL,\n    provider: id,\n  })\n  return {\n    id,\n    model: (modelID: string | ModelID) => compatible.model(modelID),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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+  "debugId": "F87C0917DB651D1264756E2164756E21",
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+}

bin/chunk-m392mbhj.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/pair.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode } from \"@opencode-ai/client/promise\"\nimport { renderUnicodeCompact } from \"uqr\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServiceConfig } from \"../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.pair,\n  Effect.fn(\"cli.pair\")(function* () {\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const password = yield* ServiceConfig.password()\n    const server = yield* Effect.tryPromise(() =>\n      OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) }).server.get(),\n    )\n    const info = { urls: server.urls, username: \"opencode\", password }\n    process.stdout.write(\n      [\n        \"\",\n        `  URLs      ${info.urls[0] ?? \"(none)\"}`,\n        ...info.urls.slice(1).map((url) => `            ${url}`),\n        `  Username  ${info.username}`,\n        `  Password  ${info.password}`,\n        \"\",\n        \"  Scan to pair\",\n        \"\",\n        renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n          .split(EOL)\n          .map((line) => \"  \" + line)\n          .join(EOL),\n        \"\",\n      ].join(EOL) + EOL,\n    )\n\n    const hostname = new URL(endpoint.url).hostname\n    if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n    process.stderr.write(\n      `  Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`,\n    )\n  }),\n)\n"
+  ],
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+}

bin/chunk-mcf2z0dm.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/prompt/parse.ts"],
+  "sourcesContent": [
+    "export function parseFileLineRange(input: string) {\n  const hash = input.lastIndexOf(\"#\")\n  if (hash === -1) return { base: input }\n\n  const base = input.slice(0, hash)\n  const match = input.slice(hash + 1).match(/^(\\d+)(?:-(\\d*))?$/)\n  if (!match) return { base }\n\n  const startLine = Number(match[1])\n  const endLine = match[2] && startLine < Number(match[2]) ? Number(match[2]) : undefined\n  return { base, lineRange: { startLine, endLine } }\n}\n\nexport function stripFileLineRange(input: string) {\n  return parseFileLineRange(input).base\n}\n\nexport function parseSlashHead(text: string, separator = /[ \\t\\n]/) {\n  if (!text.startsWith(\"/\")) return\n\n  const end = text.slice(1).search(separator)\n  if (end === -1) return { name: text.slice(1), arguments: \"\", end: text.length }\n\n  const split = end + 1\n  return { name: text.slice(1, split), arguments: text.slice(split + 1), end: split }\n}\n"
+  ],
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+  "debugId": "3389D8F2E99F8A1364756E2164756E21",
+  "names": []
+}

bin/chunk-mdkcgjjc.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mcp/list.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type McpServer } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.list,\n  Effect.fn(\"cli.mcp.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n    const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n    if (servers.length === 0) {\n      process.stdout.write(\"No MCP servers configured\" + EOL)\n      return\n    }\n    const width = Math.max(...servers.map((server) => server.name.length))\n    const lines = servers.map(\n      (server) => `${icon(server.status)} ${server.name.padEnd(width)}  ${describe(server.status)}`,\n    )\n    process.stdout.write(lines.join(EOL) + EOL)\n  }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"connected\":\n      return \"✓\"\n    case \"needs_auth\":\n      return \"⚠\"\n    case \"failed\":\n    case \"needs_client_registration\":\n      return \"✗\"\n    default:\n      return \"○\"\n  }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"needs_auth\":\n      return \"needs authentication\"\n    case \"needs_client_registration\":\n      return `needs client registration: ${status.error}`\n    case \"failed\":\n      return `failed: ${status.error}`\n    default:\n      return status.status\n  }\n}\n"
+  ],
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+  "debugId": "91AF7D85D72F531B64756E2164756E21",
+  "names": []
+}

bin/chunk-mpktsptx.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/util/persistence.ts", "../tui/src/util/record.ts", "../tui/src/model-preference.ts"],
+  "sourcesContent": [
+    "import path from \"path\"\nimport { appendFile, mkdir, readFile, rename, rm, writeFile } from \"fs/promises\"\n\nexport function readText(filePath: string) {\n  return readFile(filePath, \"utf8\")\n}\n\nexport async function readJson<T>(filePath: string) {\n  return JSON.parse(await readFile(filePath, \"utf8\")) as T\n}\n\nexport async function writeText(filePath: string, content: string) {\n  await mkdir(path.dirname(filePath), { recursive: true })\n  await writeFile(filePath, content)\n}\n\nexport async function appendText(filePath: string, content: string) {\n  await mkdir(path.dirname(filePath), { recursive: true })\n  await appendFile(filePath, content)\n}\n\nexport async function writeJsonAtomic(filePath: string, value: unknown) {\n  await mkdir(path.dirname(filePath), { recursive: true })\n  const temporary = `${filePath}.${process.pid}.${crypto.randomUUID()}.tmp`\n  await writeFile(temporary, JSON.stringify(value)).catch(async (error) => {\n    await rm(temporary, { force: true }).catch(() => undefined)\n    throw error\n  })\n  await rename(temporary, filePath).catch(async (error) => {\n    await rm(temporary, { force: true }).catch(() => undefined)\n    throw error\n  })\n}\n",
+    "export function isRecord(value: unknown): value is Record<string, unknown> {\n  return !!value && typeof value === \"object\" && !Array.isArray(value)\n}\n",
+    "import { readJson, writeJsonAtomic } from \"./util/persistence\"\nimport { isRecord } from \"./util/record\"\n\nexport type ModelPreferenceModel = {\n  providerID: string\n  modelID: string\n}\n\nexport type ModelPreference = {\n  recent: ModelPreferenceModel[]\n  favorite: ModelPreferenceModel[]\n  variant: Record<string, string | undefined>\n}\n\nexport type ModelPreferenceDocument = Record<string, unknown> & ModelPreference\n\nfunction models(value: unknown) {\n  if (!Array.isArray(value)) return []\n  return value.flatMap((item): ModelPreferenceModel[] => {\n    if (!isRecord(item)) return []\n    if (typeof item.providerID !== \"string\" || item.providerID.length === 0) return []\n    if (typeof item.modelID !== \"string\" || item.modelID.length === 0) return []\n    return [{ providerID: item.providerID, modelID: item.modelID }]\n  })\n}\n\nfunction variants(value: unknown) {\n  if (!isRecord(value)) return {}\n  return Object.fromEntries(\n    Object.entries(value).flatMap(([key, item]) => {\n      if (key.length === 0 || typeof item !== \"string\" || item.length === 0) return []\n      const variant = normalizeModelVariant(item)\n      return variant === undefined ? [] : ([[key, variant]] as const)\n    }),\n  )\n}\n\nexport function normalizeModelVariant(value: string | undefined) {\n  return value === \"default\" ? undefined : value\n}\n\nexport function modelPreferenceKey(model: ModelPreferenceModel) {\n  return `${model.providerID}/${model.modelID}`\n}\n\nexport function cycleModelVariant(current: string | undefined, variants: string[]) {\n  const named = variants.filter((variant) => variant !== \"default\")\n  if (named.length === 0) return undefined\n  const value = normalizeModelVariant(current)\n  if (value === undefined) return named[0]\n  const index = named.indexOf(value)\n  if (index === -1 || index === named.length - 1) return undefined\n  return named[index + 1]\n}\n\nexport function decodeModelPreference(value: unknown): ModelPreferenceDocument {\n  const root = isRecord(value) ? value : {}\n  return {\n    ...root,\n    recent: models(root.recent),\n    favorite: models(root.favorite),\n    variant: variants(root.variant),\n  }\n}\n\nfunction preference(value: ModelPreferenceDocument): ModelPreference {\n  return {\n    recent: value.recent,\n    favorite: value.favorite,\n    variant: value.variant,\n  }\n}\n\nfunction patch(value: Partial<ModelPreference>) {\n  return {\n    ...(value.recent === undefined ? {} : { recent: models(value.recent) }),\n    ...(value.favorite === undefined ? {} : { favorite: models(value.favorite) }),\n    ...(value.variant === undefined ? {} : { variant: variants(value.variant) }),\n  }\n}\n\nexport function createModelPreferenceRepository(filePath: string) {\n  const state = {\n    pending: Promise.resolve(),\n  }\n  const read = () =>\n    readJson<unknown>(filePath)\n      .then(decodeModelPreference)\n      .catch(() => decodeModelPreference(undefined))\n\n  function update(change: (current: ModelPreference) => Partial<ModelPreference>) {\n    const result = state.pending.then(async () => {\n      const current = await read()\n      const next = { ...current, ...patch(change(preference(current))) }\n      await writeJsonAtomic(filePath, next)\n    })\n    state.pending = result.catch(() => undefined)\n    return result\n  }\n\n  function load() {\n    return state.pending.then(read).then(preference)\n  }\n\n  return {\n    load,\n    patch(value: Partial<ModelPreference>) {\n      return update(() => value)\n    },\n    async resolveVariant(model: ModelPreferenceModel) {\n      return (await load()).variant[modelPreferenceKey(model)]\n    },\n    saveVariant(model: ModelPreferenceModel, value: string | undefined) {\n      const key = modelPreferenceKey(model)\n      const next = normalizeModelVariant(value)\n      return update((current) => {\n        const variant = { ...current.variant }\n        if (next === undefined) delete variant[key]\n        if (next !== undefined) variant[key] = next\n        return { variant }\n      })\n    },\n  }\n}\n"
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+  "debugId": "125CAC9D130204AA64756E2164756E21",
+  "names": []
+}

bin/chunk-mw78zyr8.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/stop.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.stop,\n  Effect.fn(\"cli.service.stop\")(function* () {\n    yield* Service.stop(yield* ServiceConfig.options())\n  }),\n)\n"
+  ],
+  "mappings": ";+0BAMA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,UACnC,OAAO,QAAG,uBAAkB,OAAE,cAAU,OAAG,MACzC,WAAO,OAAQ,UAAK,WAAO,OAAc,aAAQ,MAAC,EACnD,CACH",
+  "debugId": "DE9701E7A9BDA3EC64756E2164756E21",
+  "names": []
+}

bin/chunk-mweqev16.js.map

+{
+  "version": 3,
+  "sources": ["../simulation/src/frontend/actions.ts", "../simulation/src/recording.ts", "../simulation/src/frontend/renderer.ts", "../simulation/src/frontend/semantics.ts", "../simulation/src/frontend/server.ts", "../simulation/src/frontend/simulation.ts"],
+  "sourcesContent": [
+    "import { tmpdir } from \"node:os\"\nimport { extname, join, resolve } from \"node:path\"\nimport type { CliRenderer, Renderable } from \"@opentui/core\"\nimport {\n  createMockKeys,\n  createMockMouse,\n  KeyCodes,\n  type KeyInput,\n  type MockInput,\n  type MockMouse,\n} from \"@opentui/core/testing\"\nimport { Config, Effect, FileSystem, Schema } from \"effect\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationSemantics } from \"./semantics\"\n\nexport type Action = SimulationProtocol.Frontend.Action\nexport type Element = SimulationProtocol.Frontend.Element\n\nexport interface Harness {\n  readonly renderer: CliRenderer\n  readonly mockInput: MockInput\n  readonly mockMouse: MockMouse\n  readonly resize: (cols: number, rows: number) => void\n  readonly renderOnce: () => Promise<void>\n  readonly screen: () => string\n}\n\ntype RenderBuffer = {\n  readonly width: number\n  readonly height: number\n  getRealCharBytes(includeAnsi?: boolean): Uint8Array\n}\n\nconst decoder = new TextDecoder()\n\nfunction isKeyCode(key: string): key is keyof typeof KeyCodes {\n  return Object.hasOwn(KeyCodes, key)\n}\n\nfunction keyInput(key: string): KeyInput {\n  const named = key.toUpperCase()\n  return isKeyCode(named) ? named : key\n}\n\nfunction children(renderable: Renderable) {\n  return renderable.getChildren().filter((child): child is Renderable => \"num\" in child)\n}\n\nfunction all(renderable: Renderable): Renderable[] {\n  return [renderable, ...children(renderable).flatMap(all)]\n}\n\nfunction mouseListeners(renderable: Renderable) {\n  const general = Reflect.get(renderable, \"_mouseListener\")\n  const specific = Reflect.get(renderable, \"_mouseListeners\")\n  return Boolean(general) || (specific && typeof specific === \"object\" && Object.keys(specific).length > 0)\n}\n\nfunction hit(renderer: CliRenderer, renderable: Renderable) {\n  if (renderable.width <= 0 || renderable.height <= 0) return false\n  const x = Math.floor(renderable.screenX + renderable.width / 2)\n  const y = Math.floor(renderable.screenY + renderable.height / 2)\n  const target = renderer.hitTest(x, y)\n  return all(renderable).some((item) => item.num === target)\n}\n\n/**\n * Builds the harness the simulation server drives.\n *\n * When the renderer is the headless simulation renderer, its TestRendererSetup\n * provides the supported testing APIs. For the visible terminal renderer the\n * harness falls back to `requestRender` + `idle` and reading the private\n * `currentRenderBuffer`.\n */\nexport function createHarness(renderer: CliRenderer): Harness {\n  const setup = SimulationRenderer.setupFor(renderer)\n  return {\n    renderer,\n    mockInput: setup?.mockInput ?? createMockKeys(renderer),\n    mockMouse: setup?.mockMouse ?? createMockMouse(renderer),\n    resize: setup?.resize ?? ((cols, rows) => renderer.resize(cols, rows)),\n    renderOnce:\n      setup?.renderOnce ??\n      (async () => {\n        renderer.requestRender()\n        await renderer.idle()\n      }),\n    // captureCharFrame follows the test renderer's output sink. Recording\n    // redirects that sink to the timeline, so read the live render buffer\n    // instead; it is also the source used by screenshots.\n    screen: () => decoder.decode((Reflect.get(renderer, \"currentRenderBuffer\") as RenderBuffer).getRealCharBytes()),\n  }\n}\n\nexport function elements(renderer: CliRenderer): Element[] {\n  return all(renderer.root)\n    .filter((renderable) => renderable.visible && !renderable.isDestroyed)\n    .map((renderable) => {\n      const clickable = mouseListeners(renderable) && hit(renderer, renderable)\n      return {\n        id: renderable.id,\n        num: renderable.num,\n        x: renderable.screenX,\n        y: renderable.screenY,\n        width: renderable.width,\n        height: renderable.height,\n        focusable: renderable.focusable,\n        focused: renderable.focused,\n        clickable,\n        editor: renderer.currentFocusedEditor === renderable,\n      } satisfies Element\n    })\n    .filter((element) => element.focusable || element.clickable || element.editor)\n}\n\nexport function state(harness: Harness) {\n  return {\n    focused: {\n      renderable: harness.renderer.currentFocusedRenderable?.num,\n      editor: Boolean(harness.renderer.currentFocusedEditor),\n    },\n    elements: elements(harness.renderer),\n  }\n}\n\nexport function snapshot(harness: Harness): SimulationProtocol.Frontend.SemanticSnapshot {\n  const ids = new Set<string>()\n  const visit = (renderable: Renderable, parent?: string): SimulationProtocol.Frontend.SemanticNode[] => {\n    if (!renderable.visible || renderable.isDestroyed) return []\n    const definition = SimulationSemantics.read(renderable)?.()\n    if (definition && ids.has(renderable.id)) throw new Error(`duplicate semantic UI id: ${renderable.id}`)\n    if (definition) ids.add(renderable.id)\n    const node = definition\n      ? [{ id: renderable.id, ...definition, ...(parent === undefined ? {} : { parent }), element: renderable.num }]\n      : []\n    const ancestor = definition ? renderable.id : parent\n    return [...node, ...children(renderable).flatMap((child) => visit(child, ancestor))]\n  }\n  return Schema.decodeUnknownSync(SimulationProtocol.Frontend.SemanticSnapshot)({\n    format: \"opencode-ui-snapshot-v1\",\n    nodes: visit(harness.renderer.root),\n  })\n}\n\nexport function matches(harness: Pick<Harness, \"screen\">, text: string) {\n  return harness.screen().includes(text)\n}\n\nexport const capture = Effect.fn(\"SimulationActions.capture\")(function* (harness: Harness) {\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const buffer = harness.renderer.currentRenderBuffer\n  return {\n    cols: buffer.width,\n    rows: buffer.height,\n    cursor: [0, 0] as const,\n    lines: buffer.getSpanLines().map((line) => ({\n      spans: line.spans.map((span) => ({\n        text: span.text,\n        fg: span.fg.toInts(),\n        bg: span.bg.toInts(),\n        attributes: span.attributes,\n        width: span.width,\n      })),\n    })),\n  } satisfies SimulationProtocol.Frontend.CapturedFrame\n})\n\nexport const screenshot = Effect.fn(\"SimulationActions.screenshot\")(function* (harness: Harness, name?: string) {\n  const filename = name ?? `screenshot-${crypto.randomUUID()}`\n  if (!filename || filename.includes(\"/\") || filename.includes(\"\\\\\") || extname(filename))\n    return yield* Effect.fail(new Error(\"screenshot name must not contain a path or extension\"))\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const { SimulationPng } = yield* Effect.promise(() => import(\"./png\"))\n  const image = SimulationPng.screenshot(harness.renderer)\n  const directory = resolve(\n    yield* Config.string(\"OPENCODE_DRIVE_MEDIA_DIR\").pipe(\n      Config.withDefault(join(tmpdir(), \"opencode-drive\", \"output\")),\n    ),\n  )\n  const fs = yield* FileSystem.FileSystem\n  yield* fs.makeDirectory(directory, { recursive: true })\n  const path = join(directory, `${filename}.png`)\n  yield* fs.writeFile(path, image.data)\n  return path\n})\n\nexport const execute = Effect.fn(\"SimulationActions.execute\")(function* (harness: Harness, action: Action) {\n  switch (action.type) {\n    case \"ui.type\":\n      yield* Effect.tryPromise(() => harness.mockInput.typeText(action.text))\n      break\n    case \"ui.press\":\n      harness.mockInput.pressKey(keyInput(action.key), action.modifiers)\n      break\n    case \"ui.enter\":\n      harness.mockInput.pressEnter()\n      break\n    case \"ui.arrow\":\n      harness.mockInput.pressArrow(action.direction)\n      break\n    case \"ui.focus\":\n      all(harness.renderer.root)\n        .find((item) => item.num === action.target)\n        ?.focus()\n      break\n    case \"ui.click\": {\n      const target = all(harness.renderer.root).find((item) => item.num === action.target)\n      if (!target || !target.visible || target.isDestroyed)\n        return yield* Effect.fail(new Error(`click target is stale or unavailable: ${action.target}`))\n      if (action.semantic) {\n        const current = snapshot(harness).nodes.find((node) => node.element === action.target)\n        if (\n          current?.id !== action.semantic.id ||\n          current.instance !== action.semantic.instance ||\n          current.element !== action.semantic.element\n        )\n          return yield* Effect.fail(new Error(`semantic click target is stale or unavailable: ${action.semantic.id}`))\n      }\n      if (\n        !Number.isFinite(action.x) ||\n        action.x < 0 ||\n        action.x >= target.width ||\n        !Number.isFinite(action.y) ||\n        action.y < 0 ||\n        action.y >= target.height\n      )\n        return yield* Effect.fail(new Error(\"click position must be within the target element\"))\n      yield* Effect.tryPromise(() => harness.mockMouse.click(target.screenX + action.x, target.screenY + action.y))\n      break\n    }\n    case \"ui.resize\":\n      if (\n        !Number.isSafeInteger(action.cols) ||\n        action.cols <= 0 ||\n        !Number.isSafeInteger(action.rows) ||\n        action.rows <= 0\n      ) {\n        return yield* Effect.fail(new Error(\"resize cols and rows must be positive integers\"))\n      }\n      harness.resize(action.cols, action.rows)\n      SimulationRenderer.recordResize(harness.renderer, action.cols, action.rows)\n      break\n  }\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  return state(harness)\n})\n\nexport * as SimulationActions from \"./actions\"\n",
+    "import { createWriteStream, type WriteStream } from \"node:fs\"\nimport { mkdir } from \"node:fs/promises\"\nimport { dirname } from \"node:path\"\nimport { Writable } from \"node:stream\"\nimport { finished } from \"node:stream/promises\"\nimport { Schema } from \"effect\"\n\nexport const Header = Schema.Struct({\n  type: Schema.Literal(\"header\"),\n  version: Schema.Literal(1),\n  cols: Schema.Number,\n  rows: Schema.Number,\n  encoding: Schema.Literal(\"base64\"),\n})\nexport interface Header extends Schema.Schema.Type<typeof Header> {}\n\nexport const Output = Schema.Struct({\n  type: Schema.Literal(\"output\"),\n  at_ms: Schema.Number,\n  data: Schema.String,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n\nexport const Resize = Schema.Struct({\n  type: Schema.Literal(\"resize\"),\n  at_ms: Schema.Number,\n  cols: Schema.Number,\n  rows: Schema.Number,\n})\nexport interface Resize extends Schema.Schema.Type<typeof Resize> {}\n\nexport const Event = Schema.Union([Header, Output, Resize])\nexport type Event = Schema.Schema.Type<typeof Event>\n\nexport class Timeline extends Writable {\n  readonly isTTY = true\n  readonly path: string\n  readonly columns: number\n  readonly rows: number\n  private readonly output: WriteStream\n  private readonly started = performance.now()\n  private readonly timestamps: number[] = []\n  private done?: Promise<string>\n\n  private constructor(path: string, cols: number, rows: number, output: WriteStream) {\n    super()\n    this.path = path\n    this.columns = cols\n    this.rows = rows\n    this.output = output\n    // finish() reports stream failures; keep Writable from also throwing them process-wide.\n    this.on(\"error\", () => {})\n    output.on(\"error\", (error) => this.destroy(error))\n  }\n\n  static async create(path: string, cols: number, rows: number) {\n    await mkdir(dirname(path), { recursive: true })\n    const output = createWriteStream(path)\n    const timeline = new Timeline(path, cols, rows, output)\n    await new Promise<void>((resolve, reject) => {\n      output.write(\n        `${JSON.stringify({ type: \"header\", version: 1, cols, rows, encoding: \"base64\" } satisfies Header)}\\n`,\n        (error) => (error ? reject(error) : resolve()),\n      )\n    })\n    return timeline\n  }\n\n  getColorDepth() {\n    return 24\n  }\n\n  override write(chunk: unknown, callback?: (error?: Error | null) => void): boolean\n  override write(chunk: unknown, encoding: BufferEncoding, callback?: (error?: Error | null) => void): boolean\n  override write(\n    chunk: unknown,\n    encoding?: BufferEncoding | ((error?: Error | null) => void),\n    callback?: (error?: Error | null) => void,\n  ) {\n    if (!this.writableEnded) {\n      this.timestamps.push(this.elapsed())\n      if (typeof encoding === \"function\") return super.write(chunk, encoding)\n      if (encoding === undefined) return super.write(chunk, callback)\n      return super.write(chunk, encoding, callback)\n    }\n    const done = typeof encoding === \"function\" ? encoding : callback\n    queueMicrotask(() => done?.(null))\n    return true\n  }\n\n  override _write(chunk: Buffer, _encoding: BufferEncoding, callback: (error?: Error | null) => void) {\n    this.writeOutput(chunk, this.timestamps.shift() ?? this.elapsed(), callback)\n  }\n\n  override _final(callback: (error?: Error | null) => void) {\n    this.writeOutput(Buffer.alloc(0), this.elapsed(), (error) => {\n      if (error) return callback(error)\n      this.output.end(callback)\n    })\n  }\n\n  finish() {\n    if (this.done) return this.done\n    this.end()\n    this.done = finished(this).then(() => this.path)\n    return this.done\n  }\n\n  resize(cols: number, rows: number) {\n    if (this.writableEnded) return\n    const event = { type: \"resize\", at_ms: this.elapsed(), cols, rows } satisfies Resize\n    this.output.write(`${JSON.stringify(event)}\\n`)\n  }\n\n  private elapsed() {\n    return Math.max(0, Math.round(performance.now() - this.started))\n  }\n\n  private writeOutput(data: Buffer, at_ms: number, callback: (error?: Error | null) => void) {\n    const event = {\n      type: \"output\",\n      at_ms,\n      data: data.toString(\"base64\"),\n    } satisfies Output\n    this.output.write(`${JSON.stringify(event)}\\n`, callback)\n  }\n}\n\nexport * as SimulationRecording from \"./recording\"\n",
+    "import type { CliRenderer, CliRendererConfig } from \"@opentui/core\"\nimport { createTestRenderer, type TestRendererSetup } from \"@opentui/core/testing\"\nimport { Effect } from \"effect\"\nimport { Timeline } from \"../recording\"\n\nconst setups = new WeakMap<CliRenderer, TestRendererSetup>()\nconst recordings = new WeakMap<CliRenderer, Timeline>()\n\n/**\n * Creates a headless renderer with optional recording: a real CliRenderer\n * backed by an in-memory screen buffer. The TestRendererSetup is kept\n * module-side so the harness can use supported testing APIs without app\n * code carrying it around.\n */\nexport interface Viewport {\n  readonly cols: number\n  readonly rows: number\n}\n\nexport const create = Effect.fn(\"SimulationRenderer.create\")(function* (\n  options: CliRendererConfig,\n  path?: string,\n  viewport?: Viewport,\n) {\n  const cols = viewport?.cols ?? 100\n  const rows = viewport?.rows ?? 40\n  const recording = path\n    ? yield* Effect.acquireRelease(\n        Effect.tryPromise(() => Timeline.create(path, cols, rows)),\n        (recording) =>\n          Effect.tryPromise(() => recording.finish()).pipe(\n            Effect.catch((error) =>\n              Effect.sync(() => process.stderr.write(`Failed to finish UI recording: ${error}\\n`)),\n            ),\n          ),\n      )\n    : undefined\n  const setup = yield* Effect.acquireRelease(\n    Effect.tryPromise(() =>\n      createTestRenderer({\n        ...options,\n        width: cols,\n        height: rows,\n        kittyKeyboard: Boolean(options.useKittyKeyboard),\n        ...(recording\n          ? {\n              stdout: recording as unknown as NodeJS.WriteStream,\n              bufferedOutput: \"stdout\" as const,\n            }\n          : {}),\n      }),\n    ),\n    (setup) =>\n      Effect.sync(() => {\n        if (!setup.renderer.isDestroyed) setup.renderer.destroy()\n      }),\n  )\n  setups.set(setup.renderer, setup)\n  if (recording) recordings.set(setup.renderer, recording)\n  return setup.renderer\n})\n\nexport function recordResize(renderer: CliRenderer, cols: number, rows: number) {\n  recordings.get(renderer)?.resize(cols, rows)\n}\n\nexport function setupFor(renderer: CliRenderer): TestRendererSetup | undefined {\n  return setups.get(renderer)\n}\n\nexport function finish(renderer: CliRenderer) {\n  const recording = recordings.get(renderer)\n  if (!recording) return Effect.fail(new Error(\"UI recording is not available\"))\n  return Effect.tryPromise(() => recording.finish())\n}\n\nexport * as SimulationRenderer from \"./renderer\"\n",
+    "import type { Renderable } from \"@opentui/core\"\nimport type { SimulationProtocol } from \"../protocol\"\n\n// Semantic renderables set an explicit stable OpenTUI id so ui.state and\n// ui.snapshot expose the same identity. Hierarchy and element handles come\n// from the live render tree.\nexport type Definition = Omit<SimulationProtocol.Frontend.SemanticNode, \"id\" | \"element\" | \"parent\">\n\nconst key = Symbol.for(\"opencode.simulation.semantics\")\n\nconst bind = (definition: () => Definition) => (renderable: Renderable) => {\n  Object.defineProperty(renderable, key, { value: definition, configurable: true })\n}\n\nexport const read = (renderable: Renderable) => {\n  const definition: unknown = Reflect.get(renderable, key)\n  return typeof definition === \"function\" ? (definition as () => Definition) : undefined\n}\n\nexport const SimulationSemantics = { bind, read }\n",
+    "import { Effect } from \"effect\"\nimport { SimulationControlServer } from \"../control-server\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationActions, type Harness } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\n\nfunction handle(harness: Harness, request: SimulationProtocol.Frontend.Request, version: string) {\n  switch (request.method) {\n    case \"simulation.handshake\":\n      return SimulationProtocol.Handshake.dispatch(\n        {\n          role: \"ui\",\n          server: { name: \"opencode\", version },\n          capabilities: SimulationProtocol.Frontend.Capabilities,\n        },\n        request.params,\n      )\n    case \"ui.capture\":\n      return SimulationActions.capture(harness)\n    case \"ui.screenshot\":\n      return SimulationActions.screenshot(harness, request.params?.name)\n    case \"ui.state\":\n      return Effect.sync(() => SimulationActions.state(harness))\n    case \"ui.snapshot\":\n      return Effect.sync(() => SimulationActions.snapshot(harness))\n    case \"ui.matches\":\n      return Effect.sync(() => SimulationActions.matches(harness, request.params.text))\n    case \"ui.recording.finish\":\n      return SimulationRenderer.finish(harness.renderer)\n    case \"ui.type\":\n      return SimulationActions.execute(harness, { type: \"ui.type\", text: request.params.text })\n    case \"ui.enter\":\n      return SimulationActions.execute(harness, { type: \"ui.enter\" })\n    case \"ui.press\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.press\",\n        key: request.params.key,\n        modifiers: request.params.modifiers,\n      })\n    case \"ui.arrow\":\n      return SimulationActions.execute(harness, { type: \"ui.arrow\", direction: request.params.direction })\n    case \"ui.focus\":\n      return SimulationActions.execute(harness, { type: \"ui.focus\", target: request.params.target })\n    case \"ui.click\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.click\",\n        target: request.params.target,\n        x: request.params.x,\n        y: request.params.y,\n        semantic: request.params.semantic,\n      })\n    case \"ui.resize\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.resize\",\n        cols: request.params.cols,\n        rows: request.params.rows,\n      })\n  }\n}\n\nexport const start = Effect.fn(\"SimulationServer.start\")(function* (\n  harness: Harness,\n  endpoint: string,\n  version = \"unknown\",\n) {\n  return yield* SimulationControlServer.start({\n    endpoint,\n    label: \"opencode drive ui websocket\",\n    data: () => ({ drive: true as const }),\n    decode: SimulationProtocol.Frontend.decodeRequestEffect,\n    handle: (_socket, request) => handle(harness, request, version),\n  })\n})\n\nexport * as SimulationServer from \"./server\"\n",
+    "import { createCliRenderer, type CliRendererConfig } from \"@opentui/core\"\nimport { Config, Effect } from \"effect\"\nimport { DriveManifest } from \"../manifest\"\nimport { SimulationActions } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationServer } from \"./server\"\n\n/** Drive-mode renderer and control-server acquisition. */\nexport const create = Effect.fn(\"Drive.create\")(function* (options: CliRendererConfig, version: string) {\n  const headless = (yield* Config.string(\"OPENCODE_DRIVE_RENDERER\").pipe(Config.withDefault(\"visible\"))) === \"headless\"\n  const manifest = yield* DriveManifest.resolve()\n  const renderer = headless\n    ? yield* SimulationRenderer.create(options, manifest.recording?.timeline, manifest.viewport)\n    : yield* Effect.acquireRelease(\n        Effect.tryPromise(() => createCliRenderer(options)),\n        (renderer) =>\n          Effect.sync(() => {\n            if (!renderer.isDestroyed) renderer.destroy()\n          }),\n      )\n  if (!headless && manifest.viewport) renderer.resize(manifest.viewport.cols, manifest.viewport.rows)\n  const server = yield* SimulationServer.start(SimulationActions.createHarness(renderer), manifest.endpoints.ui, version)\n  yield* Effect.sync(() => process.stderr.write(`opencode drive ui websocket: ${server.url}\\n`))\n  return renderer\n})\n\nexport * as Drive from \"./simulation\"\n"
+  ],
+  "mappings": 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bin/chunk-mzny8p3g.js.map

+{
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+  "sources": ["../ai/src/protocols/bedrock-event-stream.ts", "../ai/src/protocols/utils/bedrock-auth.ts", "../ai/src/protocols/utils/bedrock-cache.ts", "../ai/src/protocols/utils/bedrock-media.ts", "../ai/src/protocols/bedrock-converse.ts", "../ai/src/providers/amazon-bedrock.ts"],
+  "sourcesContent": [
+    "import { EventStreamCodec } from \"@smithy/eventstream-codec\"\nimport { fromUtf8, toUtf8 } from \"@smithy/util-utf8\"\nimport { Effect, Stream } from \"effect\"\nimport { Framing } from \"../route/framing\"\nimport { ProviderShared } from \"./shared\"\n\n// Bedrock streams responses using the AWS event stream binary protocol — each\n// frame is `[length:4][headers-length:4][prelude-crc:4][headers][payload][crc:4]`.\n// We use `@smithy/eventstream-codec` to validate framing and CRCs, then\n// reconstruct the JSON wrapping by `:event-type` so the chunk schema can match.\nconst eventCodec = new EventStreamCodec(toUtf8, fromUtf8)\nconst utf8 = new TextDecoder()\n\n// Cursor-tracking buffer state. Bytes accumulate in `buffer`; `offset` is the\n// read position. Reading by `subarray` is zero-copy. We only allocate a fresh\n// buffer when a new network chunk arrives and we need to append.\ninterface FrameBufferState {\n  readonly buffer: Uint8Array\n  readonly offset: number\n}\n\nconst initialFrameBuffer: FrameBufferState = { buffer: new Uint8Array(0), offset: 0 }\n\nconst appendChunk = (state: FrameBufferState, chunk: Uint8Array): FrameBufferState => {\n  const remaining = state.buffer.length - state.offset\n  // Compact: drop the consumed prefix and append the new chunk in one alloc.\n  // This bounds buffer growth to at most one network chunk past the live\n  // window, regardless of stream length.\n  const next = new Uint8Array(remaining + chunk.length)\n  next.set(state.buffer.subarray(state.offset), 0)\n  next.set(chunk, remaining)\n  return { buffer: next, offset: 0 }\n}\n\nconst consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8Array) =>\n  Effect.gen(function* () {\n    let cursor = appendChunk(state, chunk)\n    const out: object[] = []\n    while (cursor.buffer.length - cursor.offset >= 4) {\n      const view = cursor.buffer.subarray(cursor.offset)\n      const totalLength = new DataView(view.buffer, view.byteOffset, view.byteLength).getUint32(0, false)\n      if (view.length < totalLength) break\n\n      const decoded = yield* Effect.try({\n        try: () => eventCodec.decode(view.subarray(0, totalLength)),\n        catch: (error) =>\n          ProviderShared.eventError(\n            route,\n            `Failed to decode Bedrock Converse event-stream frame: ${\n              error instanceof Error ? error.message : String(error)\n            }`,\n          ),\n      })\n      cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }\n\n      const messageType = decoded.headers[\":message-type\"]?.value\n      if (messageType === \"error\") {\n        const code = decoded.headers[\":error-code\"]?.value\n        const message = decoded.headers[\":error-message\"]?.value\n        return yield* ProviderShared.eventError(\n          route,\n          [code, message].filter((value): value is string => typeof value === \"string\").join(\": \") ||\n            \"Bedrock Converse event-stream error\",\n        )\n      }\n      const eventType =\n        messageType === \"event\"\n          ? decoded.headers[\":event-type\"]?.value\n          : messageType === \"exception\"\n            ? decoded.headers[\":exception-type\"]?.value\n            : undefined\n      if (typeof eventType !== \"string\") continue\n      const payload = utf8.decode(decoded.body)\n      if (!payload) continue\n      // The AWS event stream pads short payloads with a `p` field. Drop it\n      // before handing the object to the chunk schema. JSON decode goes\n      // through the shared Schema-driven codec to satisfy the package rule\n      // against ad-hoc `JSON.parse` calls.\n      const parsed = (yield* ProviderShared.parseJson(\n        route,\n        payload,\n        \"Failed to parse Bedrock Converse event-stream payload\",\n      )) as Record<string, unknown>\n      delete parsed.p\n      out.push({ [eventType]: parsed })\n    }\n    return [cursor, out] as const\n  })\n\n/**\n * AWS event-stream framing for Bedrock Converse. Each frame is decoded by\n * `@smithy/eventstream-codec` (length + header + payload + CRC) and rewrapped\n * under its `:event-type` header so the chunk schema can match the JSON\n * payload directly.\n */\nexport const framing = (route: string): Framing.Definition<object> => ({\n  id: \"aws-event-stream\",\n  frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),\n})\n\nexport * as BedrockEventStream from \"./bedrock-event-stream\"\n",
+    "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth\"\nimport { ProviderShared } from \"../shared\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n  readonly region: string\n  readonly accessKeyId: string\n  readonly secretAccessKey: string\n  readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n  readonly url: string\n  readonly body: string\n  readonly headers: Headers.Headers\n  readonly credentials: Credentials\n}) =>\n  Effect.tryPromise({\n    try: async () => {\n      const signed = await new AwsV4Signer({\n        url: input.url,\n        method: \"POST\",\n        headers: Object.entries(input.headers),\n        body: input.body,\n        region: input.credentials.region,\n        accessKeyId: input.credentials.accessKeyId,\n        secretAccessKey: input.credentials.secretAccessKey,\n        sessionToken: input.credentials.sessionToken,\n        service: \"bedrock\",\n      }).sign()\n      return Object.fromEntries(signed.headers.entries())\n    },\n    catch: (error) =>\n      ProviderShared.invalidRequest(\n        `Bedrock Converse SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n      ),\n  })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (credentials: Credentials | undefined) =>\n  Auth.custom((input: AuthInput) => {\n    return Effect.gen(function* () {\n      if (!credentials) {\n        return yield* ProviderShared.invalidRequest(\n          \"Bedrock Converse requires either route bearer auth or AWS credentials configured on the route\",\n        )\n      }\n      const headersForSigning = Headers.set(input.headers, \"content-type\", \"application/json\")\n      const signed = yield* signRequest({\n        url: input.url,\n        body: input.body,\n        headers: headersForSigning,\n        credentials,\n      })\n      return Headers.setAll(headersForSigning, signed)\n    })\n  })\n\n/** Bedrock route auth defaults to SigV4 and expects credentials from route configuration. */\nexport const auth = sigV4(undefined)\n\nexport * as BedrockAuth from \"./bedrock-auth\"\n",
+    "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache\"\n\n// Bedrock cache markers are positional: emit a `cachePoint` block immediately\n// after the content the caller wants treated as a cacheable prefix. Bedrock\n// accepts optional `ttl: \"5m\" | \"1h\"` on cachePoint, mirroring Anthropic.\nexport const CachePointBlock = Schema.Struct({\n  cachePoint: Schema.Struct({\n    type: Schema.tag(\"default\"),\n    ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n  }),\n})\nexport type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>\n\n// Bedrock-Claude enforces the same 4-breakpoint cap as the Anthropic Messages\n// API. Callers pass a shared counter through every `block()` call site so the\n// budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache\"\nexport const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)\n\nconst DEFAULT_5M: CachePointBlock = { cachePoint: { type: \"default\" } }\nconst DEFAULT_1H: CachePointBlock = { cachePoint: { type: \"default\", ttl: \"1h\" } }\n\nexport const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {\n  if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n  if (breakpoints.remaining <= 0) {\n    breakpoints.dropped += 1\n    return undefined\n  }\n  breakpoints.remaining -= 1\n  return ttlBucket(cache.ttlSeconds) === \"1h\" ? DEFAULT_1H : DEFAULT_5M\n}\n\nexport * as BedrockCache from \"./bedrock-cache\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema\"\nimport { ProviderShared } from \"../shared\"\n\n// Bedrock Converse accepts image `format` as the file extension and\n// `source.bytes` as base64 in the JSON wire format.\nexport const ImageFormat = Schema.Literals([\"png\", \"jpeg\", \"gif\", \"webp\"])\nexport type ImageFormat = Schema.Schema.Type<typeof ImageFormat>\n\nexport const ImageBlock = Schema.Struct({\n  image: Schema.Struct({\n    format: ImageFormat,\n    source: Schema.Struct({ bytes: Schema.String }),\n  }),\n})\nexport type ImageBlock = Schema.Schema.Type<typeof ImageBlock>\n\n// Bedrock document blocks require a user-facing name so the model can refer to\n// the uploaded document.\nexport const DocumentFormat = Schema.Literals([\"pdf\", \"csv\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"html\", \"txt\", \"md\"])\nexport type DocumentFormat = Schema.Schema.Type<typeof DocumentFormat>\n\nexport const DocumentBlock = Schema.Struct({\n  document: Schema.Struct({\n    format: DocumentFormat,\n    name: Schema.String,\n    source: Schema.Struct({ bytes: Schema.String }),\n  }),\n})\nexport type DocumentBlock = Schema.Schema.Type<typeof DocumentBlock>\n\nconst IMAGE_FORMATS = {\n  \"image/png\": \"png\",\n  \"image/jpeg\": \"jpeg\",\n  \"image/jpg\": \"jpeg\",\n  \"image/gif\": \"gif\",\n  \"image/webp\": \"webp\",\n} as const satisfies Record<string, ImageFormat>\n\nconst DOCUMENT_FORMATS = {\n  \"application/pdf\": \"pdf\",\n  \"text/csv\": \"csv\",\n  \"application/msword\": \"doc\",\n  \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\": \"docx\",\n  \"application/vnd.ms-excel\": \"xls\",\n  \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\": \"xlsx\",\n  \"text/html\": \"html\",\n  \"text/plain\": \"txt\",\n  \"text/markdown\": \"md\",\n} as const satisfies Record<string, DocumentFormat>\n\nconst documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({\n  document: {\n    format,\n    name,\n    source: { bytes },\n  },\n})\n\n// Route by MIME. Known image/document formats lower into a typed block; anything\n// else fails with a clear error instead of silently degrading to a malformed\n// document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)\n// get an image-specific error so the caller knows it's a format-support issue,\n// not a kind-detection issue.\nexport const lower = Effect.fn(\"BedrockMedia.lower\")(function* (part: MediaPart) {\n  const mime = part.mediaType.toLowerCase()\n  const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]\n  if (imageFormat) {\n    const media = yield* ProviderShared.validateMedia(\n      \"Bedrock Converse\",\n      part,\n      new Set<string>(Object.keys(IMAGE_FORMATS)),\n    )\n    return { image: { format: imageFormat, source: { bytes: media.base64 } } } satisfies ImageBlock\n  }\n  if (mime.startsWith(\"image/\"))\n    return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)\n  const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]\n  if (documentFormat) {\n    if (!part.filename)\n      return yield* ProviderShared.invalidRequest(\"Bedrock Converse document media requires a filename\")\n    const media = yield* ProviderShared.validateMedia(\n      \"Bedrock Converse\",\n      part,\n      new Set<string>(Object.keys(DOCUMENT_FORMATS)),\n    )\n    return documentBlock(part.filename, documentFormat, media.base64)\n  }\n  return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)\n})\n\nexport * as BedrockMedia from \"./bedrock-media\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  AIError,\n  LLMEvent,\n  Usage,\n  type CacheHint,\n  type FinishReason,\n  type FinishReasonDetails,\n  type JsonSchema,\n  type LLMRequest,\n  type LanguageModelToolSchemaCompatibility,\n  type ProviderMetadata,\n  type ReasoningPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema\"\nimport { BedrockEventStream } from \"./bedrock-event-stream\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { BedrockAuth } from \"./utils/bedrock-auth\"\nimport { BedrockCache } from \"./utils/bedrock-cache\"\nimport { BedrockMedia } from \"./utils/bedrock-media\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst BedrockTextBlock = Schema.Struct({\n  text: Schema.String,\n})\ntype BedrockTextBlock = Schema.Schema.Type<typeof BedrockTextBlock>\n\nconst BedrockToolUseBlock = Schema.Struct({\n  toolUse: Schema.Struct({\n    toolUseId: Schema.String,\n    name: Schema.String,\n    input: Schema.Unknown,\n  }),\n})\ntype BedrockToolUseBlock = Schema.Schema.Type<typeof BedrockToolUseBlock>\n\nconst BedrockToolResultContentItem = Schema.Union([\n  Schema.Struct({ text: Schema.String }),\n  Schema.Struct({ json: Schema.Unknown }),\n  BedrockMedia.ImageBlock,\n  BedrockMedia.DocumentBlock,\n])\n\nconst BedrockToolResultBlock = Schema.Struct({\n  toolResult: Schema.Struct({\n    toolUseId: Schema.String,\n    content: Schema.Array(BedrockToolResultContentItem),\n    status: Schema.optional(Schema.Literals([\"success\", \"error\"])),\n  }),\n})\ntype BedrockToolResultBlock = Schema.Schema.Type<typeof BedrockToolResultBlock>\n\nconst BedrockReasoningBlock = Schema.Struct({\n  reasoningContent: Schema.Union([\n    Schema.Struct({\n      reasoningText: Schema.Struct({\n        text: Schema.String,\n        signature: Schema.optional(Schema.String),\n      }),\n    }),\n    Schema.Struct({ redactedContent: Schema.String }),\n  ]),\n})\n\nconst BedrockUserBlock = Schema.Union([\n  BedrockTextBlock,\n  BedrockMedia.ImageBlock,\n  BedrockMedia.DocumentBlock,\n  BedrockToolResultBlock,\n  BedrockCache.CachePointBlock,\n])\ntype BedrockUserBlock = Schema.Schema.Type<typeof BedrockUserBlock>\n\nconst BedrockAssistantBlock = Schema.Union([\n  BedrockTextBlock,\n  BedrockReasoningBlock,\n  BedrockToolUseBlock,\n  BedrockCache.CachePointBlock,\n])\ntype BedrockAssistantBlock = Schema.Schema.Type<typeof BedrockAssistantBlock>\n\nconst BedrockMessage = Schema.Union([\n  Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(BedrockUserBlock) }),\n  Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(BedrockAssistantBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype BedrockMessage = Schema.Schema.Type<typeof BedrockMessage>\n\nconst BedrockSystemBlock = Schema.Union([BedrockTextBlock, BedrockCache.CachePointBlock])\ntype BedrockSystemBlock = Schema.Schema.Type<typeof BedrockSystemBlock>\n\nconst BedrockToolSpec = Schema.Struct({\n  toolSpec: Schema.Struct({\n    name: Schema.String,\n    description: Schema.String,\n    inputSchema: Schema.Struct({\n      json: JsonObject,\n    }),\n  }),\n})\ntype BedrockToolSpec = Schema.Schema.Type<typeof BedrockToolSpec>\n\nconst BedrockTool = Schema.Union([BedrockToolSpec, BedrockCache.CachePointBlock])\ntype BedrockTool = Schema.Schema.Type<typeof BedrockTool>\n\nconst BedrockToolChoice = Schema.Union([\n  Schema.Struct({ auto: Schema.Struct({}) }),\n  Schema.Struct({ any: Schema.Struct({}) }),\n  Schema.Struct({ tool: Schema.Struct({ name: Schema.String }) }),\n])\n\nconst BedrockBodyFields = {\n  modelId: Schema.String,\n  messages: Schema.Array(BedrockMessage),\n  system: optionalArray(BedrockSystemBlock),\n  inferenceConfig: Schema.optional(\n    Schema.Struct({\n      maxTokens: Schema.optional(Schema.Number),\n      temperature: Schema.optional(Schema.Number),\n      topP: Schema.optional(Schema.Number),\n      stopSequences: optionalArray(Schema.String),\n    }),\n  ),\n  toolConfig: Schema.optional(\n    Schema.Struct({\n      tools: Schema.Array(BedrockTool),\n      toolChoice: Schema.optional(BedrockToolChoice),\n    }),\n  ),\n  additionalModelRequestFields: Schema.optional(JsonObject),\n}\nconst BedrockConverseBody = Schema.Struct(BedrockBodyFields)\nexport type BedrockConverseBody = Schema.Schema.Type<typeof BedrockConverseBody>\n\nconst BedrockUsageSchema = Schema.Struct({\n  inputTokens: Schema.optional(Schema.Number),\n  outputTokens: Schema.optional(Schema.Number),\n  totalTokens: Schema.optional(Schema.Number),\n  cacheReadInputTokens: Schema.optional(Schema.Number),\n  cacheWriteInputTokens: Schema.optional(Schema.Number),\n})\ntype BedrockUsageSchema = Schema.Schema.Type<typeof BedrockUsageSchema>\n\nconst BedrockStreamException = Schema.Struct({\n  message: Schema.optional(Schema.String),\n  originalMessage: Schema.optional(Schema.String),\n  originalStatusCode: Schema.optional(Schema.Number),\n})\n\n// Streaming event shape — the AWS event stream wraps each JSON payload by its\n// `:event-type` header (e.g. `messageStart`, `contentBlockDelta`). We\n// reconstruct that wrapping in `decodeFrames` below so the event schema can\n// stay a plain discriminated record.\nconst BedrockEvent = Schema.Struct({\n  messageStart: Schema.optional(Schema.Struct({ role: Schema.String })),\n  contentBlockStart: Schema.optional(\n    Schema.Struct({\n      contentBlockIndex: Schema.Number,\n      start: Schema.optional(\n        Schema.Struct({\n          toolUse: Schema.optional(Schema.Struct({ toolUseId: Schema.String, name: Schema.String })),\n        }),\n      ),\n    }),\n  ),\n  contentBlockDelta: Schema.optional(\n    Schema.Struct({\n      contentBlockIndex: Schema.Number,\n      delta: Schema.optional(\n        Schema.Struct({\n          text: Schema.optional(Schema.String),\n          toolUse: Schema.optional(Schema.Struct({ input: Schema.String })),\n          reasoningContent: Schema.optional(\n            Schema.Struct({\n              text: Schema.optional(Schema.String),\n              signature: Schema.optional(Schema.String),\n              // Blob fields in Bedrock's JSON event stream are base64 strings.\n              redactedContent: Schema.optional(Schema.String),\n              // Vercel's Bedrock provider exposes the same delta under\n              // Anthropic's shorter `data` spelling.\n              data: Schema.optional(Schema.String),\n            }),\n          ),\n        }),\n      ),\n    }),\n  ),\n  contentBlockStop: Schema.optional(Schema.Struct({ contentBlockIndex: Schema.Number })),\n  messageStop: Schema.optional(\n    Schema.Struct({\n      stopReason: Schema.String,\n      additionalModelResponseFields: Schema.optional(Schema.Unknown),\n    }),\n  ),\n  metadata: Schema.optional(\n    Schema.Struct({\n      usage: Schema.optional(BedrockUsageSchema),\n      metrics: Schema.optional(Schema.Unknown),\n    }),\n  ),\n  internalServerException: Schema.optional(BedrockStreamException),\n  modelStreamErrorException: Schema.optional(BedrockStreamException),\n  validationException: Schema.optional(BedrockStreamException),\n  throttlingException: Schema.optional(BedrockStreamException),\n  serviceUnavailableException: Schema.optional(BedrockStreamException),\n})\ntype BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerToolSpec = (tool: ToolDefinition, inputSchema: JsonSchema): BedrockToolSpec => ({\n  toolSpec: {\n    name: tool.name,\n    description: tool.description,\n    inputSchema: { json: inputSchema },\n  },\n})\n\nconst lowerTools = (\n  compatibility: LanguageModelToolSchemaCompatibility | undefined,\n  breakpoints: BedrockCache.Breakpoints,\n  tools: ReadonlyArray<ToolDefinition>,\n): BedrockTool[] => {\n  const result: BedrockTool[] = []\n  for (const tool of tools) {\n    result.push(lowerToolSpec(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, compatibility)))\n    const cachePoint = BedrockCache.block(breakpoints, tool.cache)\n    if (cachePoint) result.push(cachePoint)\n  }\n  return result\n}\n\nconst textWithCache = (\n  breakpoints: BedrockCache.Breakpoints,\n  text: string,\n  cache: CacheHint | undefined,\n): Array<BedrockTextBlock | BedrockCache.CachePointBlock> => {\n  const cachePoint = BedrockCache.block(breakpoints, cache)\n  return cachePoint ? [{ text }, cachePoint] : [{ text }]\n}\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Bedrock Converse\", toolChoice, {\n    auto: () => ({ auto: {} }) as const,\n    none: () => undefined,\n    required: () => ({ any: {} }) as const,\n    tool: (name) => ({ tool: { name } }) as const,\n  })\n\nconst bedrockMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ bedrock: metadata })\n\nconst reasoningSignature = (part: ReasoningPart) => {\n  const bedrock = part.providerMetadata?.bedrock\n  return (\n    part.encrypted ??\n    (ProviderShared.isRecord(bedrock) && typeof bedrock.signature === \"string\" ? bedrock.signature : undefined)\n  )\n}\n\nconst reasoningRedactedData = (part: ReasoningPart) => {\n  const bedrock = part.providerMetadata?.bedrock\n  return ProviderShared.isRecord(bedrock) && typeof bedrock.redactedData === \"string\" ? bedrock.redactedData : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart): BedrockToolUseBlock => ({\n  toolUse: {\n    toolUseId: part.id,\n    name: part.name,\n    input: part.input,\n  },\n})\n\nconst lowerToolResultContent = Effect.fn(\"BedrockConverse.lowerToolResultContent\")(function* (part: ToolResultPart) {\n  if (part.result.type === \"text\" || part.result.type === \"error\")\n    return [{ text: ProviderShared.toolResultText(part) }]\n  if (part.result.type === \"json\") return [{ json: part.result.value }]\n\n  const content: Array<Schema.Schema.Type<typeof BedrockToolResultContentItem>> = []\n  for (const item of part.result.value) {\n    if (item.type === \"text\") {\n      content.push({ text: item.text })\n      continue\n    }\n    const media = yield* BedrockMedia.lower({\n      type: \"media\",\n      mediaType: item.mime,\n      data: item.uri,\n      filename: item.name,\n    })\n    content.push(media)\n  }\n  return content\n})\n\nconst lowerToolResult = Effect.fn(\"BedrockConverse.lowerToolResult\")(function* (part: ToolResultPart) {\n  return {\n    toolResult: {\n      toolUseId: part.id,\n      content: yield* lowerToolResultContent(part),\n      status: part.result.type === \"error\" ? \"error\" : \"success\",\n    },\n  } satisfies BedrockToolResultBlock\n})\n\nconst lowerMessages = Effect.fn(\"BedrockConverse.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: BedrockCache.Breakpoints,\n) {\n  const messages: BedrockMessage[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Bedrock Converse\", message)\n      const content = textWithCache(breakpoints, part.text, part.cache)\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n      else messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: BedrockUserBlock[] = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"user\", [\"text\", \"media\"])\n        if (part.type === \"text\") {\n          content.push(...textWithCache(breakpoints, part.text, part.cache))\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* BedrockMedia.lower(part))\n          continue\n        }\n      }\n      messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const content: BedrockAssistantBlock[] = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"assistant\", [\n            \"text\",\n            \"reasoning\",\n            \"tool-call\",\n          ])\n        if (part.type === \"text\") {\n          content.push(...textWithCache(breakpoints, part.text, part.cache))\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          const signature = reasoningSignature(part)\n          const redactedData = reasoningRedactedData(part)\n          if (signature === undefined && redactedData !== undefined) {\n            content.push({ reasoningContent: { redactedContent: redactedData } })\n            continue\n          }\n          content.push({ reasoningContent: { reasoningText: { text: part.text, signature } } })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(lowerToolCall(part))\n          continue\n        }\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: BedrockUserBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"tool\", [\"tool-result\"])\n      content.push(yield* lowerToolResult(part))\n      const cachePoint = BedrockCache.block(breakpoints, part.cache)\n      if (cachePoint) content.push(cachePoint)\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\n// System prompts share the cache-point convention: emit the text block, then\n// optionally a positional `cachePoint` marker.\nconst lowerSystem = (\n  breakpoints: BedrockCache.Breakpoints,\n  system: ReadonlyArray<LLMRequest[\"system\"][number]>,\n): BedrockSystemBlock[] => system.flatMap((part) => textWithCache(breakpoints, part.text, part.cache))\n\nconst fromRequest = Effect.fn(\"BedrockConverse.fromRequest\")(function* (request: LLMRequest) {\n  const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n  const generation = request.generation\n  // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in\n  // tools → system → messages order to favour the highest-impact prefixes.\n  const breakpoints = BedrockCache.breakpoints()\n  const toolConfig =\n    request.tools.length > 0\n      ? {\n          tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools),\n          // Converse has no native \"none\". Keep definitions stable for prompt\n          // caching and omit only the unsupported choice.\n          toolChoice,\n        }\n      : undefined\n  const system = request.system.length === 0 ? undefined : lowerSystem(breakpoints, request.system)\n  const messages = yield* lowerMessages(request, breakpoints)\n  if (breakpoints.dropped > 0) {\n    yield* Effect.logWarning(\n      `Bedrock Converse: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${BedrockCache.BEDROCK_BREAKPOINT_CAP} per request.`,\n    )\n  }\n  return {\n    modelId: request.model.id,\n    messages,\n    system,\n    inferenceConfig:\n      generation?.maxTokens === undefined &&\n      generation?.temperature === undefined &&\n      generation?.topP === undefined &&\n      (generation?.stop === undefined || generation.stop.length === 0)\n        ? undefined\n        : {\n            maxTokens: generation?.maxTokens,\n            temperature: generation?.temperature,\n            topP: generation?.topP,\n            stopSequences: generation?.stop,\n          },\n    toolConfig,\n    // Converse's base inferenceConfig has no topK; Anthropic/Nova accept it\n    // as a model-specific field, so it goes through additionalModelRequestFields.\n    additionalModelRequestFields: generation?.topK === undefined ? undefined : { top_k: generation.topK },\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string): FinishReason => {\n  if (reason === \"end_turn\" || reason === \"stop_sequence\") return \"stop\"\n  if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n  if (reason === \"tool_use\") return \"tool-calls\"\n  if (reason === \"content_filtered\" || reason === \"guardrail_intervened\") return \"content-filter\"\n  if (reason === \"malformed_model_output\" || reason === \"malformed_tool_use\") return \"error\"\n  return \"unknown\"\n}\n\n// AWS reports inputTokens separately from cache reads and writes.\n// Bedrock does not break reasoning out of outputTokens for current models.\nconst mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const inputTokens = ProviderShared.sumTokens(\n    usage.inputTokens,\n    usage.cacheReadInputTokens,\n    usage.cacheWriteInputTokens,\n  )\n  return new Usage({\n    inputTokens,\n    outputTokens: usage.outputTokens,\n    nonCachedInputTokens: usage.inputTokens,\n    cacheReadInputTokens: usage.cacheReadInputTokens,\n    cacheWriteInputTokens: usage.cacheWriteInputTokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),\n    providerMetadata: { bedrock: usage },\n  })\n}\n\ninterface ParserState {\n  readonly tools: ToolStream.State<number>\n  // Bedrock splits the finish into `messageStop` (carries `stopReason`) and\n  // `metadata` (carries usage). Hold the terminal event in state so `onHalt`\n  // can emit exactly one finish after both chunks have had a chance to arrive.\n  readonly pendingFinish: { readonly reason: FinishReasonDetails; readonly usage?: Usage } | undefined\n  readonly hasToolCalls: boolean\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningSignatures: Readonly<Record<number, string>>\n}\n\nconst step = (state: ParserState, event: BedrockEvent) =>\n  Effect.gen(function* () {\n    if (event.contentBlockStart?.start?.toolUse) {\n      const index = event.contentBlockStart.contentBlockIndex\n      const events: LLMEvent[] = []\n      const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n      return [\n        {\n          ...state,\n          lifecycle,\n          tools: ToolStream.start(state.tools, index, {\n            id: event.contentBlockStart.start.toolUse.toolUseId,\n            name: event.contentBlockStart.start.toolUse.name,\n          }),\n        },\n        [\n          ...events,\n          LLMEvent.toolInputStart({\n            id: event.contentBlockStart.start.toolUse.toolUseId,\n            name: event.contentBlockStart.start.toolUse.name,\n          }),\n        ],\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.text) {\n      const events: LLMEvent[] = []\n      return [\n        {\n          ...state,\n          lifecycle: Lifecycle.textDelta(\n            state.lifecycle,\n            events,\n            `text-${event.contentBlockDelta.contentBlockIndex}`,\n            event.contentBlockDelta.delta.text,\n          ),\n        },\n        events,\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.reasoningContent) {\n      const index = event.contentBlockDelta.contentBlockIndex\n      const reasoning = event.contentBlockDelta.delta.reasoningContent\n      const events: LLMEvent[] = []\n      const redactedData = reasoning.redactedContent ?? reasoning.data\n      const providerMetadata = reasoning.signature\n        ? bedrockMetadata({ signature: reasoning.signature })\n        : redactedData !== undefined\n          ? bedrockMetadata({ redactedData })\n          : undefined\n      const lifecycle =\n        reasoning.text !== undefined || providerMetadata !== undefined\n          ? Lifecycle.reasoningDelta(\n              state.lifecycle,\n              events,\n              `reasoning-${index}`,\n              reasoning.text ?? \"\",\n              providerMetadata,\n            )\n          : state.lifecycle\n      return [\n        {\n          ...state,\n          lifecycle,\n          reasoningSignatures: reasoning.signature\n            ? { ...state.reasoningSignatures, [index]: reasoning.signature }\n            : state.reasoningSignatures,\n        },\n        events,\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.toolUse) {\n      const index = event.contentBlockDelta.contentBlockIndex\n      const result = ToolStream.appendExisting(\n        ADAPTER,\n        state.tools,\n        index,\n        event.contentBlockDelta.delta.toolUse.input,\n        \"Bedrock Converse tool delta is missing its tool call\",\n      )\n      if (ToolStream.isError(result)) return yield* result\n      const events: LLMEvent[] = []\n      const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n      events.push(...result.events)\n      return [{ ...state, lifecycle, tools: result.tools }, events] as const\n    }\n\n    if (event.contentBlockStop) {\n      const index = event.contentBlockStop.contentBlockIndex\n      const result = yield* ToolStream.finish(ADAPTER, state.tools, index)\n      const events: LLMEvent[] = []\n      const resultEvents = result.events ?? []\n      const lifecycle = resultEvents.length\n        ? Lifecycle.stepStart(state.lifecycle, events)\n        : Lifecycle.reasoningEnd(\n            Lifecycle.textEnd(state.lifecycle, events, `text-${index}`),\n            events,\n            `reasoning-${index}`,\n            state.reasoningSignatures[index]\n              ? bedrockMetadata({ signature: state.reasoningSignatures[index] })\n              : undefined,\n          )\n      events.push(...resultEvents)\n      return [\n        {\n          ...state,\n          hasToolCalls:\n            resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||\n            state.hasToolCalls,\n          lifecycle,\n          tools: result.tools,\n          reasoningSignatures: Object.fromEntries(\n            Object.entries(state.reasoningSignatures).filter(([key]) => key !== String(index)),\n          ),\n        },\n        events,\n      ] as const\n    }\n\n    if (event.messageStop) {\n      return [\n        {\n          ...state,\n          pendingFinish: {\n            reason: {\n              normalized: mapFinishReason(event.messageStop.stopReason),\n              raw: event.messageStop.stopReason,\n            },\n            usage: state.pendingFinish?.usage,\n          },\n        },\n        [],\n      ] as const\n    }\n\n    if (event.metadata) {\n      const usage = mapUsage(event.metadata.usage) ?? state.pendingFinish?.usage\n      return [\n        {\n          ...state,\n          pendingFinish: {\n            reason: state.pendingFinish?.reason ?? { normalized: \"stop\" },\n            usage,\n          },\n        },\n        [],\n      ] as const\n    }\n\n    const exception = (\n      [\n        [\"internalServerException\", event.internalServerException],\n        [\"modelStreamErrorException\", event.modelStreamErrorException],\n        [\"serviceUnavailableException\", event.serviceUnavailableException],\n        [\"throttlingException\", event.throttlingException],\n        [\"validationException\", event.validationException],\n      ] as const\n    ).find((entry) => entry[1] !== undefined)\n    if (exception) {\n      return yield* new AIError({\n        module: ADAPTER,\n        method: \"stream\",\n        reason: classifyProviderFailure({\n          message: exception[1]?.message ?? exception[1]?.originalMessage ?? \"Bedrock Converse stream error\",\n          code: exception[0],\n        }),\n      })\n    }\n\n    return [state, []] as const\n  })\n\nconst framing = BedrockEventStream.framing(ADAPTER)\n\nconst onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>\n  state.pendingFinish\n    ? (() => {\n        const events: LLMEvent[] = []\n        Lifecycle.finish(state.lifecycle, events, {\n          reason: {\n            ...state.pendingFinish.reason,\n            normalized:\n              state.pendingFinish.reason.normalized === \"stop\" && state.hasToolCalls\n                ? \"tool-calls\"\n                : state.pendingFinish.reason.normalized,\n          },\n          usage: state.pendingFinish.usage,\n        })\n        return events\n      })()\n    : []\n\n// =============================================================================\n// Protocol And Bedrock Route\n// =============================================================================\n/**\n * The Bedrock Converse protocol — request body construction, body schema, and\n * the streaming-event state machine.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: BedrockConverseBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: BedrockEvent,\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      pendingFinish: undefined,\n      hasToolCalls: false,\n      lifecycle: Lifecycle.initial(),\n      reasoningSignatures: {},\n    }),\n    step,\n    onHalt,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"bedrock\",\n  providerMetadataKey: \"bedrock\",\n  protocol,\n  // Bedrock's URL embeds the region in the route endpoint host and the\n  // validated modelId in the path. We read the validated body so the URL\n  // matches the body that gets signed.\n  endpoint: Endpoint.path<BedrockConverseBody>(\n    ({ body }) => `/model/${encodeURIComponent(body.modelId)}/converse-stream`,\n  ),\n  auth: BedrockAuth.auth,\n  framing,\n})\n\nexport const sigV4Auth = BedrockAuth.sigV4\n\nexport * as BedrockConverse from \"./bedrock-converse\"\n",
+    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n  readonly apiKey?: string\n  readonly headers?: Record<string, string>\n  readonly credentials?: BedrockCredentials\n  /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */\n  readonly region?: string\n  /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */\n  readonly baseURL?: string\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly auth?: \"bearer\" | \"sigv4\"\n  readonly baseURL?: string\n  readonly credentials?: BedrockCredentials\n  readonly region?: string\n  readonly topP?: number\n}\nexport const routes = [BedrockConverse.route]\n\nconst bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`\n\nconst configuredRoute = (input: Config) => {\n  const { apiKey, credentials, region, baseURL, ...rest } = input\n  const resolvedRegion = region ?? credentials?.region ?? \"us-east-1\"\n  return BedrockConverse.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },\n    auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n    throw new Error(\"Amazon Bedrock bearer auth requires apiKey\")\n  if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n    throw new Error(\"Amazon Bedrock SigV4 auth does not accept apiKey\")\n  return configure({\n    apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n    baseURL: settings.baseURL,\n    credentials: settings.credentials,\n    generation: settings.topP === undefined ? undefined : { topP: settings.topP },\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    region: settings.region,\n  }).model(modelID)\n}\n"
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+  "debugId": "7A5C9791F321409964756E2164756E21",
+  "names": []
+}

bin/chunk-n15b9k65.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mcp/add.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, stat, writeFile } from \"node:fs/promises\"\nimport { Effect, Option } from \"effect\"\nimport { applyEdits, modify } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.add,\n  Effect.fn(\"cli.mcp.add\")(function* (input) {\n    const url = Option.getOrUndefined(input.url)\n    const headers = Option.getOrUndefined(input.header)\n    const environment = Option.getOrUndefined(input.env)\n    // The CLI framework strands `--` operands on the root command, so read the local server command\n    // straight from argv after `--`. This also lets the command carry its own flags (e.g. `npx -y`).\n    const dash = process.argv.indexOf(\"--\")\n    const command = dash === -1 ? [...input.command] : process.argv.slice(dash + 1)\n\n    const hasCommand = command.length > 0\n    if (url && hasCommand)\n      return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --, not both\"))\n    if (!url && !hasCommand) return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --\"))\n    if (url && !URL.canParse(url)) return yield* Effect.fail(new Error(`Invalid URL: ${url}`))\n    if (url && environment) return yield* Effect.fail(new Error(\"--env is only valid for local MCP servers\"))\n    if (hasCommand && headers) return yield* Effect.fail(new Error(\"--header is only valid for remote MCP servers\"))\n\n    const server = url\n      ? { type: \"remote\" as const, url, ...(headers ? { headers } : {}) }\n      : { type: \"local\" as const, command, ...(environment ? { environment } : {}) }\n\n    const global = yield* Global.Service\n    const configPath = yield* Effect.promise(() => resolveConfigPath(input.global ? global.config : process.cwd()))\n    yield* Effect.promise(() => write(configPath, input.name, server))\n    process.stdout.write(`MCP server \"${input.name}\" added to ${configPath}` + EOL)\n  }),\n)\n\nexport async function resolveConfigPath(directory: string) {\n  const candidates = [\n    path.join(directory, \"opencode.json\"),\n    path.join(directory, \"opencode.jsonc\"),\n    path.join(directory, \".opencode\", \"opencode.json\"),\n    path.join(directory, \".opencode\", \"opencode.jsonc\"),\n  ]\n  for (const candidate of candidates) {\n    if (\n      await stat(candidate).then(\n        (info) => info.isFile(),\n        () => false,\n      )\n    )\n      return candidate\n  }\n  return candidates[0]\n}\n\nasync function write(configPath: string, name: string, server: unknown) {\n  const text = await readFile(configPath, \"utf8\").catch((error) => {\n    if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return \"{}\"\n    throw error\n  })\n  const edits = modify(text, [\"mcp\", \"servers\", name], server, {\n    formattingOptions: { tabSize: 2, insertSpaces: true },\n  })\n  await writeFile(configPath, applyEdits(text, edits))\n}\n"
+  ],
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+  "debugId": "79D99B8EA88E111C64756E2164756E21",
+  "names": []
+}

bin/chunk-p1qy09kw.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/openai-images.ts", "../ai/src/providers/openai.ts"],
+  "sourcesContent": [
+    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest, HttpClientResponse } from \"effect/unstable/http\"\nimport {\n  ImageModel,\n  GeneratedImage,\n  ImageResponse,\n  type ImageInput,\n  type ImageRequestFor,\n  type ImageRoute,\n} from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema\"\nimport { ProviderShared } from \"./shared\"\nimport { ImageInputs } from \"./utils/image-input\"\nimport { OpenAIImage } from \"./utils/openai-image\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type OpenAIImageString<Known extends string> = Known | (string & {})\n\nexport type OpenAIImageOptions = {\n  readonly mask?: ImageInput\n  readonly n?: number\n  readonly size?: OpenAIImageString<\n    \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n  >\n  readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n  readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n  readonly moderation?: OpenAIImageString<\"auto\" | \"low\">\n  readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n  readonly outputCompression?: number\n} & Record<string, unknown>\n\nexport type OpenAIImageBody = Record<string, unknown> & {\n  readonly model: string\n  readonly prompt: string\n}\n\nconst OpenAIImageResponse = Schema.Struct({\n  data: Schema.Array(\n    Schema.Struct({\n      b64_json: Schema.optional(Schema.String),\n      url: Schema.optional(Schema.String),\n      revised_prompt: Schema.optional(Schema.String),\n    }),\n  ),\n  output_format: Schema.optional(Schema.String),\n  usage: Schema.optional(\n    Schema.Struct({\n      input_tokens: Schema.optional(Schema.Number),\n      output_tokens: Schema.optional(Schema.Number),\n      total_tokens: Schema.optional(Schema.Number),\n      input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n      output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n    }),\n  ),\n})\n\nexport interface ModelInput {\n  readonly id: string\n  readonly auth: AuthDefinition\n  readonly baseURL?: string\n  readonly headers?: Record<string, string>\n  readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: OpenAIImageOptions | undefined) => {\n  if (!options) return undefined\n  const { mask: _, outputFormat, outputCompression, ...native } = options\n  return {\n    output_format: outputFormat,\n    output_compression: outputCompression,\n    ...native,\n  }\n}\n\nconst invalidOutput = (message: string) =>\n  new AIError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute<OpenAIImageOptions> = {\n    id: ADAPTER,\n    generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequestFor<OpenAIImageOptions>, execute) {\n      const mask = request.options?.mask\n      if (mask !== undefined && (request.images?.length ?? 0) === 0)\n        return yield* ImageInputs.invalid(ADAPTER, \"An OpenAI image mask requires at least one input image\")\n      const http = mergeHttpOptions(request.model.http, request.http)\n      const sourceImages = request.images ?? []\n      const multipartImages = yield* Effect.forEach(sourceImages, (image) => {\n        if (image.type === \"bytes\") return Effect.succeed({ data: image.data, mediaType: image.mediaType })\n        if (image.type === \"url\") return ImageInputs.decodeDataUrl(image.url, ADAPTER)\n        return Effect.succeed(undefined)\n      })\n      const multipartMask =\n        mask === undefined\n          ? undefined\n          : mask.type === \"bytes\"\n            ? { data: mask.data, mediaType: mask.mediaType }\n            : mask.type === \"url\"\n              ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)\n              : undefined\n      const useMultipart =\n        sourceImages.length > 0 &&\n        multipartImages.every((image) => image !== undefined) &&\n        (mask === undefined || multipartMask !== undefined)\n      const path = sourceImages.length === 0 ? PATH : EDIT_PATH\n      const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${path}`, http?.query)\n\n      if (useMultipart) {\n        const form = new FormData()\n        form.append(\"model\", request.model.id)\n        form.append(\"prompt\", request.prompt)\n        Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {\n          if ([\"model\", \"prompt\", \"image\", \"image[]\", \"images\", \"mask\"].includes(key)) return\n          form.append(key, typeof value === \"string\" ? value : ProviderShared.encodeJson(value))\n        })\n        multipartImages.forEach((image, index) => {\n          if (image === undefined) return\n          form.append(\"image[]\", imageBlob(image.data, image.mediaType), `image-${index}`)\n        })\n        if (multipartMask !== undefined)\n          form.append(\"mask\", imageBlob(multipartMask.data, multipartMask.mediaType), \"mask\")\n        const headers = yield* Auth.toEffect(input.auth)({\n          request,\n          method: \"POST\",\n          url,\n          body: \"[multipart/form-data]\",\n          headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), \"content-type\"),\n        })\n        const response = yield* execute(\n          HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),\n        )\n        return yield* parseResponse(response, request.options, http?.body)\n      }\n\n      const references = sourceImages.map((image) => {\n        if (image.type === \"bytes\") return { image_url: ImageInputs.dataUrl(image) }\n        if (image.type === \"url\") return { image_url: image.url }\n        if (image.type === \"file-id\") return { file_id: image.id }\n        return undefined\n      })\n      if (references.some((image) => image === undefined))\n        return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n      const maskReference =\n        mask === undefined\n          ? undefined\n          : mask.type === \"bytes\"\n            ? { image_url: ImageInputs.dataUrl(mask) }\n            : mask.type === \"url\"\n              ? { image_url: mask.url }\n              : mask.type === \"file-id\"\n                ? { file_id: mask.id }\n                : undefined\n      if (mask !== undefined && maskReference === undefined)\n        return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs\")\n      const requestBody = mergeJsonRecords(\n        {\n          model: request.model.id,\n          prompt: request.prompt,\n          images: references.length === 0 ? undefined : references,\n          mask: maskReference,\n        },\n        nativeOptions(request.options),\n        http?.body,\n      ) as OpenAIImageBody\n      const text = ProviderShared.encodeJson(requestBody)\n      const headers = yield* Auth.toEffect(input.auth)({\n        request,\n        method: \"POST\",\n        url,\n        body: text,\n        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n      })\n      const response = yield* execute(\n        HttpClientRequest.post(url).pipe(\n          HttpClientRequest.setHeaders(headers),\n          HttpClientRequest.bodyText(text, \"application/json\"),\n        ),\n      )\n      return yield* parseResponse(response, request.options, http?.body)\n    }),\n  }\n  return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: \"openai\", route, http: input.http })\n}\n\nconst parseResponse = Effect.fn(\"OpenAIImages.parseResponse\")(function* (\n  response: HttpClientResponse.HttpClientResponse,\n  options: OpenAIImageOptions | undefined,\n  overlay: Record<string, unknown> | undefined,\n) {\n  const payload = yield* response.json.pipe(\n    Effect.mapError(() => invalidOutput(\"Failed to read the OpenAI Images response\")),\n  )\n  const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(\n    Effect.mapError(() => invalidOutput(\"OpenAI Images returned an invalid response\")),\n  )\n  const requestBody = mergeJsonRecords(nativeOptions(options), overlay)\n  const format =\n    decoded.output_format ?? (typeof requestBody?.output_format === \"string\" ? requestBody.output_format : \"png\")\n  const images = yield* Effect.forEach(decoded.data, (item, index) => {\n    if (item.b64_json)\n      return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n        Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),\n        Effect.map(\n          (data) =>\n            new GeneratedImage({\n              mediaType: `image/${format}`,\n              data,\n              providerMetadata:\n                item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n            }),\n        ),\n      )\n    if (item.url)\n      return Effect.succeed(\n        new GeneratedImage({\n          mediaType: `image/${format}`,\n          data: item.url,\n          providerMetadata:\n            item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n        }),\n      )\n    return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))\n  })\n  if (images.length === 0) return yield* invalidOutput(\"OpenAI Images returned no images\")\n  return new ImageResponse({\n    images,\n    usage:\n      decoded.usage === undefined\n        ? undefined\n        : new Usage({\n            inputTokens: decoded.usage.input_tokens,\n            outputTokens: decoded.usage.output_tokens,\n            totalTokens: decoded.usage.total_tokens,\n            providerMetadata: { openai: decoded.usage },\n          }),\n    providerMetadata: { openai: { outputFormat: format } },\n  })\n})\n\nconst imageBlob = (data: Uint8Array, mediaType: string) => {\n  const buffer = new ArrayBuffer(data.byteLength)\n  new Uint8Array(buffer).set(data)\n  return new Blob([buffer], { type: mediaType })\n}\n\nexport const OpenAIImages = {\n  model,\n} as const\n",
+    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIResponses.webSocketRoute, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly queryParams?: Record<string, string>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport interface ImageGenerationOptions {\n  readonly action?: OpenAIImageString<\"auto\" | \"generate\" | \"edit\">\n  readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n  readonly inputFidelity?: OpenAIImageString<\"low\" | \"high\">\n  readonly outputCompression?: number\n  readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n  readonly partialImages?: number\n  readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n  readonly size?: OpenAIImageString<\n    \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n  >\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n  ToolDefinition.make({\n    name: \"image_generation\",\n    description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n    inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n    native: {\n      openai: {\n        type: \"image_generation\",\n        action: options.action,\n        background: options.background,\n        input_fidelity: options.inputFidelity,\n        output_compression: options.outputCompression,\n        output_format: options.outputFormat,\n        partial_images: options.partialImages,\n        quality: options.quality,\n        size: options.size,\n      },\n    },\n  })\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly organization?: string\n  readonly project?: string\n  readonly queryParams?: Readonly<Record<string, string>>\n  readonly transport?: \"http\" | \"websocket\"\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input\n  return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: { baseURL: input.baseURL, query: input.queryParams },\n  })\n\nexport const configure = (input: Config = {}) => {\n  const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n  const responsesWebSocketRoute = configuredRoute(OpenAIResponses.webSocketRoute, input)\n  const chatRoute = configuredRoute(OpenAIChat.route, input)\n  const modelDefaults = defaults(input)\n  const responses = (id: string | ModelID) =>\n    responsesRoute\n      .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n      .model<OpenAIProviderOptionsInput>({ id })\n  const responsesWebSocket = (id: string | ModelID) =>\n    responsesWebSocketRoute\n      .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n      .model<OpenAIProviderOptionsInput>({ id })\n  const chat = (id: string | ModelID) =>\n    chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })\n  const image = (modelID: string | ModelID) =>\n    OpenAIImages.model({\n      id: modelID,\n      auth: auth(input),\n      baseURL: input.baseURL,\n      headers: input.headers,\n      http: mergeHttpOptions(\n        input.http === undefined ? undefined : HttpOptions.make(input.http),\n        input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),\n      ),\n    })\n\n  return {\n    id,\n    model: responses,\n    responses,\n    responsesWebSocket,\n    chat,\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n  const headers = {\n    ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n    ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n    ...settings.headers,\n  }\n  return {\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: Object.keys(headers).length === 0 ? undefined : headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n  const configured = configure(config(settings))\n  if (settings.transport === undefined || settings.transport === \"http\") return configured.responses(modelID)\n  if (settings.transport === \"websocket\") return configured.responsesWebSocket(modelID)\n  throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const responsesWebSocket = provider.responsesWebSocket\nexport const chat = provider.chat\nexport const image = provider.image\n"
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+}

bin/chunk-pt19pq44.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/get.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.get,\n  Effect.fn(\"cli.service.get\")(function* (input) {\n    process.stdout.write((yield* ServiceConfig.get(Option.getOrUndefined(input.key))) + EOL)\n  }),\n)\n"
+  ],
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+}

bin/chunk-q6ftq4m2.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+cohere@3.0.27+d6123d32214422cb/node_modules/@ai-sdk/cohere/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/cohere-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  generateId,\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/cohere-chat-language-model.ts\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\n\n// src/cohere-chat-options.ts\nimport { z } from \"zod/v4\";\nvar cohereLanguageModelOptions = z.object({\n  /**\n   * Configuration for reasoning features (optional)\n   *\n   * Can be set to an object with the two properties `type` and `tokenBudget`. `type` can be set to `'enabled'` or `'disabled'` (defaults to `'enabled'`).\n   * `tokenBudget` is the maximum number of tokens the model can use for thinking, which must be set to a positive integer. The model will stop thinking if it reaches the thinking token budget and will proceed with the response\n   *\n   * @see https://docs.cohere.com/reference/chat#request.body.thinking\n   */\n  thinking: z.object({\n    type: z.enum([\"enabled\", \"disabled\"]).optional(),\n    tokenBudget: z.number().optional()\n  }).optional()\n});\n\n// src/cohere-error.ts\nimport { createJsonErrorResponseHandler } from \"@ai-sdk/provider-utils\";\nimport { z as z2 } from \"zod/v4\";\nvar cohereErrorDataSchema = z2.object({\n  message: z2.string()\n});\nvar cohereFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: cohereErrorDataSchema,\n  errorToMessage: (data) => data.message\n});\n\n// src/cohere-prepare-tools.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nfunction prepareTools({\n  tools,\n  toolChoice\n}) {\n  tools = (tools == null ? void 0 : tools.length) ? tools : void 0;\n  const toolWarnings = [];\n  if (tools == null) {\n    return { tools: void 0, toolChoice: void 0, toolWarnings };\n  }\n  const cohereTools = [];\n  for (const tool of tools) {\n    if (tool.type === \"provider\") {\n      toolWarnings.push({\n        type: \"unsupported\",\n        feature: `provider-defined tool ${tool.id}`\n      });\n    } else {\n      cohereTools.push({\n        type: \"function\",\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema\n        }\n      });\n    }\n  }\n  if (toolChoice == null) {\n    return { tools: cohereTools, toolChoice: void 0, toolWarnings };\n  }\n  const type = toolChoice.type;\n  switch (type) {\n    case \"auto\":\n      return { tools: cohereTools, toolChoice: void 0, toolWarnings };\n    case \"none\":\n      return { tools: cohereTools, toolChoice: \"NONE\", toolWarnings };\n    case \"required\":\n      return { tools: cohereTools, toolChoice: \"REQUIRED\", toolWarnings };\n    case \"tool\":\n      return {\n        tools: cohereTools.filter(\n          (tool) => tool.function.name === toolChoice.toolName\n        ),\n        toolChoice: \"REQUIRED\",\n        toolWarnings\n      };\n    default: {\n      const _exhaustiveCheck = type;\n      throw new UnsupportedFunctionalityError({\n        functionality: `tool choice type: ${_exhaustiveCheck}`\n      });\n    }\n  }\n}\n\n// src/convert-cohere-usage.ts\nfunction convertCohereUsage(tokens) {\n  if (tokens == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const inputTokens = tokens.input_tokens;\n  const outputTokens = tokens.output_tokens;\n  return {\n    inputTokens: {\n      total: inputTokens,\n      noCache: inputTokens,\n      cacheRead: void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: outputTokens,\n      text: outputTokens,\n      reasoning: void 0\n    },\n    raw: tokens\n  };\n}\n\n// src/convert-to-cohere-chat-prompt.ts\nimport {\n  UnsupportedFunctionalityError as UnsupportedFunctionalityError2\n} from \"@ai-sdk/provider\";\nfunction convertToCohereChatPrompt(prompt) {\n  const messages = [];\n  const documents = [];\n  const warnings = [];\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\": {\n        messages.push({\n          role: \"user\",\n          content: content.map((part) => {\n            var _a;\n            switch (part.type) {\n              case \"text\": {\n                return part.text;\n              }\n              case \"file\": {\n                let textContent;\n                if (typeof part.data === \"string\") {\n                  textContent = part.data;\n                } else if (part.data instanceof Uint8Array) {\n                  if (!(((_a = part.mediaType) == null ? void 0 : _a.startsWith(\"text/\")) || part.mediaType === \"application/json\")) {\n                    throw new UnsupportedFunctionalityError2({\n                      functionality: `document media type: ${part.mediaType}`,\n                      message: `Media type '${part.mediaType}' is not supported. Supported media types are: text/* and application/json.`\n                    });\n                  }\n                  textContent = new TextDecoder().decode(part.data);\n                } else {\n                  throw new UnsupportedFunctionalityError2({\n                    functionality: \"File URL data\",\n                    message: \"URLs should be downloaded by the AI SDK and not reach this point. This indicates a configuration issue.\"\n                  });\n                }\n                documents.push({\n                  data: {\n                    text: textContent,\n                    title: part.filename\n                  }\n                });\n                return \"\";\n              }\n            }\n          }).join(\"\")\n        });\n        break;\n      }\n      case \"assistant\": {\n        let text = \"\";\n        const toolCalls = [];\n        for (const part of content) {\n          switch (part.type) {\n            case \"text\": {\n              text += part.text;\n              break;\n            }\n            case \"tool-call\": {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: \"function\",\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input)\n                }\n              });\n              break;\n            }\n          }\n        }\n        messages.push({\n          role: \"assistant\",\n          content: toolCalls.length > 0 ? void 0 : text,\n          tool_calls: toolCalls.length > 0 ? toolCalls : void 0,\n          tool_plan: void 0\n        });\n        break;\n      }\n      case \"tool\": {\n        messages.push(\n          ...content.filter((toolResult) => toolResult.type !== \"tool-approval-response\").map((toolResult) => {\n            var _a;\n            const output = toolResult.output;\n            let contentValue;\n            switch (output.type) {\n              case \"text\":\n              case \"error-text\":\n                contentValue = output.value;\n                break;\n              case \"execution-denied\":\n                contentValue = (_a = output.reason) != null ? _a : \"Tool execution denied.\";\n                break;\n              case \"content\":\n              case \"json\":\n              case \"error-json\":\n                contentValue = JSON.stringify(output.value);\n                break;\n            }\n            return {\n              role: \"tool\",\n              content: contentValue,\n              tool_call_id: toolResult.toolCallId\n            };\n          })\n        );\n        break;\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return { messages, documents, warnings };\n}\n\n// src/map-cohere-finish-reason.ts\nfunction mapCohereFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"COMPLETE\":\n    case \"STOP_SEQUENCE\":\n      return \"stop\";\n    case \"MAX_TOKENS\":\n      return \"length\";\n    case \"ERROR\":\n      return \"error\";\n    case \"TOOL_CALL\":\n      return \"tool-calls\";\n    default:\n      return \"other\";\n  }\n}\n\n// src/cohere-chat-language-model.ts\nvar CohereChatLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.supportedUrls = {\n      // No URLs are supported.\n    };\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    tools,\n    toolChoice,\n    providerOptions\n  }) {\n    var _a, _b;\n    const cohereOptions = (_a = await parseProviderOptions({\n      provider: \"cohere\",\n      providerOptions,\n      schema: cohereLanguageModelOptions\n    })) != null ? _a : {};\n    const {\n      messages: chatPrompt,\n      documents: cohereDocuments,\n      warnings: promptWarnings\n    } = convertToCohereChatPrompt(prompt);\n    const {\n      tools: cohereTools,\n      toolChoice: cohereToolChoice,\n      toolWarnings\n    } = prepareTools({ tools, toolChoice });\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n        // standardized settings:\n        frequency_penalty: frequencyPenalty,\n        presence_penalty: presencePenalty,\n        max_tokens: maxOutputTokens,\n        temperature,\n        p: topP,\n        k: topK,\n        seed,\n        stop_sequences: stopSequences,\n        // response format:\n        response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? { type: \"json_object\", json_schema: responseFormat.schema } : void 0,\n        // messages:\n        messages: chatPrompt,\n        // tools:\n        tools: cohereTools,\n        tool_choice: cohereToolChoice,\n        // documents for RAG:\n        ...cohereDocuments.length > 0 && { documents: cohereDocuments },\n        // reasoning\n        ...cohereOptions.thinking && {\n          thinking: {\n            type: (_b = cohereOptions.thinking.type) != null ? _b : \"enabled\",\n            token_budget: cohereOptions.thinking.tokenBudget\n          }\n        }\n      },\n      warnings: [...toolWarnings, ...promptWarnings]\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g;\n    const { args, warnings } = await this.getArgs(options);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: args,\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        cohereChatResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const content = [];\n    for (const item of (_a = response.message.content) != null ? _a : []) {\n      if (item.type === \"text\" && item.text.length > 0) {\n        content.push({ type: \"text\", text: item.text });\n        continue;\n      }\n      if (item.type === \"thinking\" && item.thinking.length > 0) {\n        content.push({ type: \"reasoning\", text: item.thinking });\n        continue;\n      }\n    }\n    for (const citation of (_b = response.message.citations) != null ? _b : []) {\n      content.push({\n        type: \"source\",\n        sourceType: \"document\",\n        id: this.config.generateId(),\n        mediaType: \"text/plain\",\n        title: ((_d = (_c = citation.sources[0]) == null ? void 0 : _c.document) == null ? void 0 : _d.title) || \"Document\",\n        providerMetadata: {\n          cohere: {\n            start: citation.start,\n            end: citation.end,\n            text: citation.text,\n            sources: citation.sources,\n            ...citation.type && { citationType: citation.type }\n          }\n        }\n      });\n    }\n    for (const toolCall of (_e = response.message.tool_calls) != null ? _e : []) {\n      content.push({\n        type: \"tool-call\",\n        toolCallId: toolCall.id,\n        toolName: toolCall.function.name,\n        // Cohere sometimes returns `null` for tool call arguments for tools\n        // defined as having no arguments.\n        input: toolCall.function.arguments.replace(/^null$/, \"{}\")\n      });\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapCohereFinishReason(response.finish_reason),\n        raw: (_f = response.finish_reason) != null ? _f : void 0\n      },\n      usage: convertCohereUsage(response.usage.tokens),\n      request: { body: args },\n      response: {\n        // TODO timestamp, model id\n        id: (_g = response.generation_id) != null ? _g : void 0,\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = await this.getArgs(options);\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: { ...args, stream: true },\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        cohereChatChunkSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    let pendingToolCall = null;\n    let isActiveReasoning = false;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            var _a, _b;\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              finishReason = { unified: \"error\", raw: void 0 };\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            const type = value.type;\n            switch (type) {\n              case \"content-start\": {\n                if (value.delta.message.content.type === \"thinking\") {\n                  controller.enqueue({\n                    type: \"reasoning-start\",\n                    id: String(value.index)\n                  });\n                  isActiveReasoning = true;\n                  return;\n                }\n                controller.enqueue({\n                  type: \"text-start\",\n                  id: String(value.index)\n                });\n                return;\n              }\n              case \"content-delta\": {\n                if (\"thinking\" in value.delta.message.content) {\n                  controller.enqueue({\n                    type: \"reasoning-delta\",\n                    id: String(value.index),\n                    delta: value.delta.message.content.thinking\n                  });\n                  return;\n                }\n                controller.enqueue({\n                  type: \"text-delta\",\n                  id: String(value.index),\n                  delta: value.delta.message.content.text\n                });\n                return;\n              }\n              case \"content-end\": {\n                if (isActiveReasoning) {\n                  controller.enqueue({\n                    type: \"reasoning-end\",\n                    id: String(value.index)\n                  });\n                  isActiveReasoning = false;\n                  return;\n                }\n                controller.enqueue({\n                  type: \"text-end\",\n                  id: String(value.index)\n                });\n                return;\n              }\n              case \"tool-call-start\": {\n                const toolId = value.delta.message.tool_calls.id;\n                const toolName = value.delta.message.tool_calls.function.name;\n                const initialArgs = value.delta.message.tool_calls.function.arguments;\n                pendingToolCall = {\n                  id: toolId,\n                  name: toolName,\n                  arguments: initialArgs,\n                  hasFinished: false\n                };\n                controller.enqueue({\n                  type: \"tool-input-start\",\n                  id: toolId,\n                  toolName\n                });\n                if (initialArgs.length > 0) {\n                  controller.enqueue({\n                    type: \"tool-input-delta\",\n                    id: toolId,\n                    delta: initialArgs\n                  });\n                }\n                return;\n              }\n              case \"tool-call-delta\": {\n                if (pendingToolCall && !pendingToolCall.hasFinished) {\n                  const argsDelta = value.delta.message.tool_calls.function.arguments;\n                  pendingToolCall.arguments += argsDelta;\n                  controller.enqueue({\n                    type: \"tool-input-delta\",\n                    id: pendingToolCall.id,\n                    delta: argsDelta\n                  });\n                }\n                return;\n              }\n              case \"tool-call-end\": {\n                if (pendingToolCall && !pendingToolCall.hasFinished) {\n                  controller.enqueue({\n                    type: \"tool-input-end\",\n                    id: pendingToolCall.id\n                  });\n                  controller.enqueue({\n                    type: \"tool-call\",\n                    toolCallId: pendingToolCall.id,\n                    toolName: pendingToolCall.name,\n                    input: JSON.stringify(\n                      JSON.parse(((_a = pendingToolCall.arguments) == null ? void 0 : _a.trim()) || \"{}\")\n                    )\n                  });\n                  pendingToolCall.hasFinished = true;\n                  pendingToolCall = null;\n                }\n                return;\n              }\n              case \"message-start\": {\n                controller.enqueue({\n                  type: \"response-metadata\",\n                  id: (_b = value.id) != null ? _b : void 0\n                });\n                return;\n              }\n              case \"message-end\": {\n                finishReason = {\n                  unified: mapCohereFinishReason(value.delta.finish_reason),\n                  raw: value.delta.finish_reason\n                };\n                usage = value.delta.usage.tokens;\n                return;\n              }\n              default: {\n                return;\n              }\n            }\n          },\n          flush(controller) {\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertCohereUsage(usage)\n            });\n          }\n        })\n      ),\n      request: { body: { ...args, stream: true } },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nvar cohereChatResponseSchema = z3.object({\n  generation_id: z3.string().nullish(),\n  message: z3.object({\n    role: z3.string(),\n    content: z3.array(\n      z3.union([\n        z3.object({\n          type: z3.literal(\"text\"),\n          text: z3.string()\n        }),\n        z3.object({\n          type: z3.literal(\"thinking\"),\n          thinking: z3.string()\n        })\n      ])\n    ).nullish(),\n    tool_plan: z3.string().nullish(),\n    tool_calls: z3.array(\n      z3.object({\n        id: z3.string(),\n        type: z3.literal(\"function\"),\n        function: z3.object({\n          name: z3.string(),\n          arguments: z3.string()\n        })\n      })\n    ).nullish(),\n    citations: z3.array(\n      z3.object({\n        start: z3.number(),\n        end: z3.number(),\n        text: z3.string(),\n        sources: z3.array(\n          z3.object({\n            type: z3.string().optional(),\n            id: z3.string().optional(),\n            document: z3.object({\n              id: z3.string().optional(),\n              text: z3.string(),\n              title: z3.string()\n            })\n          })\n        ),\n        type: z3.string().optional()\n      })\n    ).nullish()\n  }),\n  finish_reason: z3.string(),\n  usage: z3.object({\n    billed_units: z3.object({\n      input_tokens: z3.number(),\n      output_tokens: z3.number()\n    }),\n    tokens: z3.object({\n      input_tokens: z3.number(),\n      output_tokens: z3.number()\n    })\n  })\n});\nvar cohereChatChunkSchema = z3.discriminatedUnion(\"type\", [\n  z3.object({\n    type: z3.literal(\"citation-start\")\n  }),\n  z3.object({\n    type: z3.literal(\"citation-end\")\n  }),\n  z3.object({\n    type: z3.literal(\"content-start\"),\n    index: z3.number(),\n    delta: z3.object({\n      message: z3.object({\n        content: z3.union([\n          z3.object({\n            type: z3.literal(\"text\"),\n            text: z3.string()\n          }),\n          z3.object({\n            type: z3.literal(\"thinking\"),\n            thinking: z3.string()\n          })\n        ])\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"content-delta\"),\n    index: z3.number(),\n    delta: z3.object({\n      message: z3.object({\n        content: z3.union([\n          z3.object({\n            text: z3.string()\n          }),\n          z3.object({\n            thinking: z3.string()\n          })\n        ])\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"content-end\"),\n    index: z3.number()\n  }),\n  z3.object({\n    type: z3.literal(\"message-start\"),\n    id: z3.string().nullish()\n  }),\n  z3.object({\n    type: z3.literal(\"message-end\"),\n    delta: z3.object({\n      finish_reason: z3.string(),\n      usage: z3.object({\n        tokens: z3.object({\n          input_tokens: z3.number(),\n          output_tokens: z3.number()\n        })\n      })\n    })\n  }),\n  // https://docs.cohere.com/v2/docs/streaming#tool-use-stream-events-for-tool-calling\n  z3.object({\n    type: z3.literal(\"tool-plan-delta\"),\n    delta: z3.object({\n      message: z3.object({\n        tool_plan: z3.string()\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"tool-call-start\"),\n    delta: z3.object({\n      message: z3.object({\n        tool_calls: z3.object({\n          id: z3.string(),\n          type: z3.literal(\"function\"),\n          function: z3.object({\n            name: z3.string(),\n            arguments: z3.string()\n          })\n        })\n      })\n    })\n  }),\n  // A single tool call's `arguments` stream in chunks and must be accumulated\n  // in a string and so the full tool object info can only be parsed once we see\n  // `tool-call-end`.\n  z3.object({\n    type: z3.literal(\"tool-call-delta\"),\n    delta: z3.object({\n      message: z3.object({\n        tool_calls: z3.object({\n          function: z3.object({\n            arguments: z3.string()\n          })\n        })\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"tool-call-end\")\n  })\n]);\n\n// src/cohere-embedding-model.ts\nimport {\n  TooManyEmbeddingValuesForCallError\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders as combineHeaders2,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  parseProviderOptions as parseProviderOptions2,\n  postJsonToApi as postJsonToApi2\n} from \"@ai-sdk/provider-utils\";\nimport { z as z5 } from \"zod/v4\";\n\n// src/cohere-embedding-options.ts\nimport { z as z4 } from \"zod/v4\";\nvar cohereEmbeddingModelOptions = z4.object({\n  /**\n   * Specifies the type of input passed to the model. Default is `search_query`.\n   *\n   * - \"search_document\": Used for embeddings stored in a vector database for search use-cases.\n   * - \"search_query\": Used for embeddings of search queries run against a vector DB to find relevant documents.\n   * - \"classification\": Used for embeddings passed through a text classifier.\n   * - \"clustering\": Used for embeddings run through a clustering algorithm.\n   */\n  inputType: z4.enum([\"search_document\", \"search_query\", \"classification\", \"clustering\"]).optional(),\n  /**\n   * Specifies how the API will handle inputs longer than the maximum token length.\n   * Default is `END`.\n   *\n   * - \"NONE\": If selected, when the input exceeds the maximum input token length will return an error.\n   * - \"START\": Will discard the start of the input until the remaining input is exactly the maximum input token length for the model.\n   * - \"END\": Will discard the end of the input until the remaining input is exactly the maximum input token length for the model.\n   */\n  truncate: z4.enum([\"NONE\", \"START\", \"END\"]).optional(),\n  /**\n   * The number of dimensions of the output embedding.\n   * Only available for `embed-v4.0` and newer models.\n   *\n   * Possible values are `256`, `512`, `1024`, and `1536`.\n   * The default is `1536`.\n   */\n  outputDimension: z4.union([z4.literal(256), z4.literal(512), z4.literal(1024), z4.literal(1536)]).optional()\n});\n\n// src/cohere-embedding-model.ts\nvar CohereEmbeddingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.maxEmbeddingsPerCall = 96;\n    this.supportsParallelCalls = true;\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doEmbed({\n    values,\n    headers,\n    abortSignal,\n    providerOptions\n  }) {\n    var _a;\n    const embeddingOptions = await parseProviderOptions2({\n      provider: \"cohere\",\n      providerOptions,\n      schema: cohereEmbeddingModelOptions\n    });\n    if (values.length > this.maxEmbeddingsPerCall) {\n      throw new TooManyEmbeddingValuesForCallError({\n        provider: this.provider,\n        modelId: this.modelId,\n        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,\n        values\n      });\n    }\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi2({\n      url: `${this.config.baseURL}/embed`,\n      headers: combineHeaders2(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        // The AI SDK only supports 'float' embeddings. Note that the Cohere API\n        // supports other embedding types, but they are not currently supported by the AI SDK.\n        // https://docs.cohere.com/v2/reference/embed#request.body.embedding_types\n        embedding_types: [\"float\"],\n        texts: values,\n        input_type: (_a = embeddingOptions == null ? void 0 : embeddingOptions.inputType) != null ? _a : \"search_query\",\n        truncate: embeddingOptions == null ? void 0 : embeddingOptions.truncate,\n        output_dimension: embeddingOptions == null ? void 0 : embeddingOptions.outputDimension\n      },\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler2(\n        cohereTextEmbeddingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      warnings: [],\n      embeddings: response.embeddings.float,\n      usage: { tokens: response.meta.billed_units.input_tokens },\n      response: { headers: responseHeaders, body: rawValue }\n    };\n  }\n};\nvar cohereTextEmbeddingResponseSchema = z5.object({\n  embeddings: z5.object({\n    float: z5.array(z5.array(z5.number()))\n  }),\n  meta: z5.object({\n    billed_units: z5.object({\n      input_tokens: z5.number()\n    })\n  })\n});\n\n// src/reranking/cohere-reranking-model.ts\nimport {\n  combineHeaders as combineHeaders3,\n  createJsonResponseHandler as createJsonResponseHandler3,\n  parseProviderOptions as parseProviderOptions3,\n  postJsonToApi as postJsonToApi3\n} from \"@ai-sdk/provider-utils\";\n\n// src/reranking/cohere-reranking-api.ts\nimport { lazySchema, zodSchema } from \"@ai-sdk/provider-utils\";\nimport { z as z6 } from \"zod/v4\";\nvar cohereRerankingResponseSchema = lazySchema(\n  () => zodSchema(\n    z6.object({\n      id: z6.string().nullish(),\n      results: z6.array(\n        z6.object({\n          index: z6.number(),\n          relevance_score: z6.number()\n        })\n      ),\n      meta: z6.any()\n    })\n  )\n);\n\n// src/reranking/cohere-reranking-options.ts\nimport { lazySchema as lazySchema2, zodSchema as zodSchema2 } from \"@ai-sdk/provider-utils\";\nimport { z as z7 } from \"zod/v4\";\nvar cohereRerankingModelOptionsSchema = lazySchema2(\n  () => zodSchema2(\n    z7.object({\n      maxTokensPerDoc: z7.number().optional(),\n      priority: z7.number().optional()\n    })\n  )\n);\n\n// src/reranking/cohere-reranking-model.ts\nvar CohereRerankingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  // current implementation is based on v2 of the API: https://docs.cohere.com/v2/reference/rerank\n  async doRerank({\n    documents,\n    headers,\n    query,\n    topN,\n    abortSignal,\n    providerOptions\n  }) {\n    var _a;\n    const rerankingOptions = await parseProviderOptions3({\n      provider: \"cohere\",\n      providerOptions,\n      schema: cohereRerankingModelOptionsSchema\n    });\n    const warnings = [];\n    if (documents.type === \"object\") {\n      warnings.push({\n        type: \"compatibility\",\n        feature: \"object documents\",\n        details: \"Object documents are converted to strings.\"\n      });\n    }\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi3({\n      url: `${this.config.baseURL}/rerank`,\n      headers: combineHeaders3(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        query,\n        documents: documents.type === \"text\" ? documents.values : documents.values.map((value) => JSON.stringify(value)),\n        top_n: topN,\n        max_tokens_per_doc: rerankingOptions == null ? void 0 : rerankingOptions.maxTokensPerDoc,\n        priority: rerankingOptions == null ? void 0 : rerankingOptions.priority\n      },\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler3(\n        cohereRerankingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      ranking: response.results.map((result) => ({\n        index: result.index,\n        relevanceScore: result.relevance_score\n      })),\n      warnings,\n      response: {\n        id: (_a = response.id) != null ? _a : void 0,\n        headers: responseHeaders,\n        body: rawValue\n      }\n    };\n  }\n};\n\n// src/version.ts\nvar VERSION = true ? \"3.0.27\" : \"0.0.0-test\";\n\n// src/cohere-provider.ts\nfunction createCohere(options = {}) {\n  var _a;\n  const baseURL = (_a = withoutTrailingSlash(options.baseURL)) != null ? _a : \"https://api.cohere.com/v2\";\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"COHERE_API_KEY\",\n        description: \"Cohere\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/cohere/${VERSION}`\n  );\n  const createChatModel = (modelId) => {\n    var _a2;\n    return new CohereChatLanguageModel(modelId, {\n      provider: \"cohere.chat\",\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      generateId: (_a2 = options.generateId) != null ? _a2 : generateId\n    });\n  };\n  const createEmbeddingModel = (modelId) => new CohereEmbeddingModel(modelId, {\n    provider: \"cohere.textEmbedding\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createRerankingModel = (modelId) => new CohereRerankingModel(modelId, {\n    provider: \"cohere.reranking\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const provider = function(modelId) {\n    if (new.target) {\n      throw new Error(\n        \"The Cohere model function cannot be called with the new keyword.\"\n      );\n    }\n    return createChatModel(modelId);\n  };\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createChatModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.reranking = createRerankingModel;\n  provider.rerankingModel = createRerankingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar cohere = createCohere();\nexport {\n  VERSION,\n  cohere,\n  createCohere\n};\n//# sourceMappingURL=index.mjs.map"
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+  "debugId": "6F6088EF46DA734F64756E2164756E21",
+  "names": []
+}

bin/chunk-qfhf157g.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/mini/session.shared.ts", "../tui/src/mini/variant.shared.ts", "../tui/src/mini/theme.ts", "../tui/src/mini/mono.ts"],
+  "sourcesContent": [
+    "import type { SessionMessageInfo, SessionMessageUser } from \"@opencode-ai/client/promise\"\nimport { promptCopy, promptSame } from \"./prompt.shared\"\nimport type { RunInput, RunPrompt } from \"./types\"\n\nconst LIMIT = 200\n\nexport type SessionMessages = SessionMessageInfo[]\n\ntype Turn = {\n  prompt: RunPrompt\n  provider: string | undefined\n  model: string | undefined\n  variant: string | undefined\n}\n\nexport type RunSession = {\n  first: boolean\n  turns: Turn[]\n  model?: NonNullable<RunInput[\"model\"]>\n  variant?: string\n}\n\nfunction messagePrompt(message: SessionMessageUser): RunPrompt {\n  return {\n    text: message.text,\n    parts: [\n      ...(message.files ?? []).map((file) => ({\n        type: \"file\" as const,\n        url: file.source.type === \"uri\" ? file.source.uri : `data:${file.mime};base64,${file.data}`,\n        mime: file.mime,\n        filename: file.name,\n        source: file.mention\n          ? {\n              type: \"file\",\n              path: file.name ?? (file.source.type === \"uri\" ? file.source.uri : \"inline attachment\"),\n              text: { start: file.mention.start, end: file.mention.end, value: file.mention.text },\n            }\n          : undefined,\n      })),\n      ...(message.agents ?? []).map((agent) => ({\n        type: \"agent\" as const,\n        name: agent.name,\n        source: agent.mention\n          ? { start: agent.mention.start, end: agent.mention.end, value: agent.mention.text }\n          : undefined,\n      })),\n    ],\n  }\n}\n\nexport function createSession(messages: SessionMessages): RunSession {\n  return {\n    first: messages.length === 0,\n    turns: messages.flatMap((message) =>\n      message.type === \"user\"\n        ? [{ prompt: messagePrompt(message), provider: undefined, model: undefined, variant: undefined }]\n        : [],\n    ),\n  }\n}\n\nexport async function resolveCurrentSession(\n  sdk: RunInput[\"sdk\"],\n  sessionID: string,\n  signal?: AbortSignal,\n  limit = LIMIT,\n): Promise<RunSession> {\n  const [response, session] = await Promise.all([\n    sdk.message.list({ sessionID, limit, order: \"desc\" }, ...requestOptions(signal)),\n    sdk.session.get({ sessionID }, ...requestOptions(signal)),\n  ])\n  const current = createSession(response.data.toReversed())\n  return {\n    ...current,\n    turns: current.turns.map((turn) => ({\n      ...turn,\n      provider: session.model?.providerID,\n      model: session.model?.id,\n      variant: session.model?.variant,\n    })),\n    ...(session.model && {\n      model: { providerID: session.model.providerID, modelID: session.model.id },\n      variant: session.model.variant,\n    }),\n  }\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n  return signal ? [{ signal }] : []\n}\n\nexport function sessionHistory(session: RunSession, limit = LIMIT): RunPrompt[] {\n  return session.turns\n    .map((turn) => turn.prompt)\n    .filter((prompt) => prompt.text.trim())\n    .filter((prompt, index, prompts) => index === 0 || !promptSame(prompts[index - 1], prompt))\n    .map(promptCopy)\n    .slice(-limit)\n}\n\nexport function sessionVariant(session: RunSession, model: RunInput[\"model\"]): string | undefined {\n  if (!model) return\n  if (session.model?.providerID === model.providerID && session.model.modelID === model.modelID) return session.variant\n\n  return session.turns.findLast((turn) => turn.provider === model.providerID && turn.model === model.modelID)?.variant\n}\n",
+    "// Model variant resolution and persistence.\n//\n// Variants are provider-specific reasoning effort levels (e.g., \"high\", \"max\").\n// Resolution priority: CLI --variant flag > valid session history > saved preference.\n//\n// The saved variant persists across sessions in ~/.local/state/opencode/model.json\n// so your last-used variant sticks. Cycling (ctrl+t) updates both the active\n// variant and the persisted file.\nimport { createSession, sessionVariant, type RunSession, type SessionMessages } from \"./session.shared\"\nimport type { RunInput, RunProvider } from \"./types\"\nimport { cycleModelVariant, normalizeModelVariant } from \"../model-preference\"\n\nexport function modelInfo(providers: RunProvider[] | undefined, model: NonNullable<RunInput[\"model\"]>) {\n  const provider = providers?.find((item) => item.id === model.providerID)\n  return {\n    provider: provider?.name ?? model.providerID,\n    model: provider?.models[model.modelID]?.name ?? model.modelID,\n  }\n}\n\nexport function formatModelLabel(\n  model: NonNullable<RunInput[\"model\"]>,\n  variant: string | undefined,\n  providers?: RunProvider[],\n): string {\n  const names = modelInfo(providers, model)\n  const label = variant ? ` · ${variant}` : \"\"\n  return `${names.model} · ${names.provider}${label}`\n}\n\nexport function cycleVariant(current: string | undefined, variants: string[]): string | undefined {\n  return cycleModelVariant(current, variants)\n}\n\nexport function pickVariant(model: RunInput[\"model\"], input: RunSession | SessionMessages): string | undefined {\n  return sessionVariant(Array.isArray(input) ? createSession(input) : input, model)\n}\n\nfunction fitVariant(value: string | undefined, variants: string[]): string | undefined {\n  const normalized = normalizeModelVariant(value)\n  return normalized && (variants.length === 0 || variants.includes(normalized)) ? normalized : undefined\n}\n\n// Picks the active variant. CLI flag wins, then valid session history, then the\n// saved preference. Saved and session values are dropped when the provider no\n// longer offers them.\nexport function resolveVariant(\n  input: string | undefined,\n  session: string | undefined,\n  saved: string | undefined,\n  variants: string[],\n): string | undefined {\n  if (input !== undefined) {\n    return normalizeModelVariant(input)\n  }\n\n  return fitVariant(session, variants) ?? fitVariant(saved, variants)\n}\n",
+    "// Theme resolution for direct interactive mode.\n//\n// Derives scrollback and footer colors from the terminal's actual palette.\n// resolveRunTheme() queries the renderer for the terminal's palette,\n// detects dark/light mode, builds a small system theme locally, and maps it to\n// the run footer + scrollback color model. Falls back to a hardcoded dark-mode\n// palette if detection fails.\nimport { RGBA, SyntaxStyle, type CliRenderer, type ColorInput, type TerminalColors } from \"@opentui/core\"\nimport type { TuiThemeCurrent } from \"@opencode-ai/plugin/v1/tui\"\nimport { ansiToRgba } from \"../theme/color\"\nimport { resolveThemeColors } from \"../theme/resolve\"\nimport { terminalMode } from \"../theme/system\"\nimport type { ThemeV1Json } from \"../theme/v1\"\nimport type { EntryKind, RunTuiConfig } from \"./types\"\n\ntype Tone = {\n  body: ColorInput\n  start?: ColorInput\n}\n\nexport type RunEntryTheme = Record<EntryKind, Tone>\n\nexport type RunSplashTheme = {\n  left: ColorInput\n  right: ColorInput\n  leftShadow: ColorInput\n}\n\nexport type RunFooterTheme = {\n  highlight: ColorInput\n  selected: ColorInput\n  selectedText: ColorInput\n  warning: ColorInput\n  error: ColorInput\n  muted: ColorInput\n  text: ColorInput\n  status: ColorInput\n  statusAccent: ColorInput\n  shade: ColorInput\n  surface: ColorInput\n  pane: ColorInput\n  border: ColorInput\n  line: ColorInput\n}\n\nexport type RunBlockTheme = {\n  text: ColorInput\n  muted: ColorInput\n  syntax?: SyntaxStyle\n  diffRemoved: ColorInput\n  diffAddedBg: ColorInput\n  diffRemovedBg: ColorInput\n  diffContextBg: ColorInput\n  diffHighlightAdded: ColorInput\n  diffHighlightRemoved: ColorInput\n  diffLineNumber: ColorInput\n  diffAddedLineNumberBg: ColorInput\n  diffRemovedLineNumberBg: ColorInput\n}\n\nexport type RunTheme = {\n  background: ColorInput\n  footer: RunFooterTheme\n  entry: RunEntryTheme\n  splash: RunSplashTheme\n  block: RunBlockTheme\n}\n\ntype ThemeColor = Exclude<keyof TuiThemeCurrent, \"thinkingOpacity\">\n\ntype SharedSyntaxTheme = TuiThemeCurrent & {\n  _hasSelectedListItemText: boolean\n}\n\nexport const transparent = RGBA.fromValues(0, 0, 0, 0)\n\nfunction alpha(color: RGBA, value: number): RGBA {\n  return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, value)))\n}\n\nfunction rgba(hex: string, value?: number): RGBA {\n  const color = RGBA.fromHex(hex)\n  return value === undefined ? color : alpha(color, value)\n}\n\nfunction colorMode(bg: RGBA): \"dark\" | \"light\" {\n  return luminance(bg) > 0.5 ? \"light\" : \"dark\"\n}\n\nfunction luminance(color: RGBA): number {\n  return 0.299 * color.r + 0.587 * color.g + 0.114 * color.b\n}\n\nfunction fade(color: RGBA, base: RGBA, fallback: number, scale: number, limit: number): RGBA {\n  if (color.a === 0) {\n    return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, fallback)))\n  }\n\n  const target = Math.min(limit, color.a * scale)\n  const mix = Math.min(1, target / color.a)\n\n  return RGBA.fromValues(\n    base.r + (color.r - base.r) * mix,\n    base.g + (color.g - base.g) * mix,\n    base.b + (color.b - base.b) * mix,\n    color.a,\n  )\n}\n\nfunction tint(base: RGBA, overlay: RGBA, value: number): RGBA {\n  return RGBA.fromInts(\n    Math.round((base.r + (overlay.r - base.r) * value) * 255),\n    Math.round((base.g + (overlay.g - base.g) * value) * 255),\n    Math.round((base.b + (overlay.b - base.b) * value) * 255),\n  )\n}\n\nfunction chroma(color: RGBA) {\n  return Math.max(color.r, color.g, color.b) - Math.min(color.r, color.g, color.b)\n}\n\nfunction indexedPalette(colors: TerminalColors, size: number = Math.max(colors.palette.length, 16)): RGBA[] {\n  return Array.from({ length: size }, (_, index) => {\n    const value = colors.palette[index]\n    return RGBA.fromIndex(index, value ? RGBA.fromHex(value) : ansiToRgba(index))\n  })\n}\n\nfunction srgbToLinear(value: number): number {\n  if (value <= 0.04045) {\n    return value / 12.92\n  }\n\n  return ((value + 0.055) / 1.055) ** 2.4\n}\n\nfunction oklab(color: RGBA) {\n  const r = srgbToLinear(color.r)\n  const g = srgbToLinear(color.g)\n  const b = srgbToLinear(color.b)\n\n  const l = Math.cbrt(0.4122214708 * r + 0.5363325363 * g + 0.0514459929 * b)\n  const m = Math.cbrt(0.2119034982 * r + 0.6806995451 * g + 0.1073969566 * b)\n  const s = Math.cbrt(0.0883024619 * r + 0.2817188376 * g + 0.6299787005 * b)\n\n  return {\n    l: 0.2104542553 * l + 0.793617785 * m - 0.0040720468 * s,\n    a: 1.9779984951 * l - 2.428592205 * m + 0.4505937099 * s,\n    b: 0.0259040371 * l + 0.7827717662 * m - 0.808675766 * s,\n  }\n}\n\nfunction nearestIndexed(indexed: RGBA[], rgba: RGBA): RGBA {\n  const target = oklab(rgba)\n  const hit = indexed.reduce(\n    (best, item) => {\n      const sample = oklab(item)\n      const dl = sample.l - target.l\n      const da = sample.a - target.a\n      const db = sample.b - target.b\n      const dist = dl * dl * 2 + da * da + db * db\n      if (dist >= best.dist) return best\n      return {\n        dist,\n        item,\n      }\n    },\n    {\n      dist: Number.POSITIVE_INFINITY,\n      item: indexed[0]!,\n    },\n  )\n\n  return RGBA.clone(hit.item)\n}\n\nfunction paletteColor(colors: TerminalColors, index: number): RGBA {\n  const value = colors.palette[index]\n  return value ? RGBA.fromHex(value) : ansiToRgba(index)\n}\n\nfunction splashShadow(indexed: RGBA[], base: RGBA, overlay: RGBA, value: number): RGBA {\n  const mixed = tint(base, overlay, value)\n  return nearestIndexed(indexed, mixed)\n}\n\nexport function resolveTheme(theme: ThemeV1Json, pick: \"dark\" | \"light\"): TuiThemeCurrent {\n  const resolved = resolveThemeColors(theme, pick, (code) => RGBA.fromIndex(code, ansiToRgba(code)))\n  return {\n    ...resolved.theme,\n    thinkingOpacity: resolved.thinkingOpacity,\n  }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): Record<number, RGBA> {\n  const r = bg.r * 255\n  const g = bg.g * 255\n  const b = bg.b * 255\n  const lum = 0.299 * r + 0.587 * g + 0.114 * b\n  const cast = 0.25 * (1 - chroma(bg)) ** 2\n\n  const gray = (level: number) => {\n    const factor = level / 12\n\n    if (isDark && lum < 10) {\n      const value = Math.floor(factor * 0.4 * 255)\n      return map(RGBA.fromInts(value, value, value))\n    }\n\n    if (!isDark && lum > 245) {\n      const value = Math.floor(255 - factor * 0.4 * 255)\n      return map(RGBA.fromInts(value, value, value))\n    }\n\n    const value = isDark ? lum + (255 - lum) * factor * 0.4 : lum * (1 - factor * 0.4)\n    const tone = RGBA.fromInts(Math.floor(value), Math.floor(value), Math.floor(value))\n    if (cast === 0) return map(tone)\n\n    const ratio = lum === 0 ? 0 : value / lum\n    return map(\n      tint(\n        tone,\n        RGBA.fromInts(\n          Math.floor(Math.max(0, Math.min(r * ratio, 255))),\n          Math.floor(Math.max(0, Math.min(g * ratio, 255))),\n          Math.floor(Math.max(0, Math.min(b * ratio, 255))),\n        ),\n        cast,\n      ),\n    )\n  }\n\n  return Object.fromEntries(Array.from({ length: 12 }, (_, index) => [index + 1, gray(index + 1)]))\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): RGBA {\n  const lum = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n  const gray = isDark\n    ? lum < 10\n      ? 180\n      : Math.min(Math.floor(160 + lum * 0.3), 200)\n    : lum > 245\n      ? 75\n      : Math.max(Math.floor(100 - (255 - lum) * 0.2), 60)\n\n  return map(RGBA.fromInts(gray, gray, gray))\n}\n\nexport function generateSystem(colors: TerminalColors, pick: \"dark\" | \"light\"): ThemeV1Json {\n  const bg_snapshot = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n  const fg_snapshot = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n  const bg = RGBA.defaultBackground(bg_snapshot)\n  const fg = RGBA.defaultForeground(fg_snapshot)\n  const isDark = pick === \"dark\"\n\n  const color = (index: number) => paletteColor(colors, index)\n\n  const grays = generateGrayScale(bg_snapshot, isDark, (rgba) => rgba)\n  const textMuted = generateMutedTextColor(bg_snapshot, isDark, (rgba) => rgba)\n\n  const ansi = {\n    red: color(1),\n    green: color(2),\n    yellow: color(3),\n    blue: color(4),\n    magenta: color(5),\n    cyan: color(6),\n    red_bright: color(9),\n    green_bright: color(10),\n  }\n\n  const diff_alpha = isDark ? 0.22 : 0.14\n  const diff_context_bg = grays[2]\n  const primary = ansi.cyan\n  const secondary = ansi.magenta\n\n  return {\n    theme: {\n      primary,\n      secondary,\n      accent: primary,\n      error: ansi.red,\n      warning: ansi.yellow,\n      success: ansi.green,\n      info: ansi.cyan,\n      text: fg,\n      textMuted,\n      selectedListItemText: bg,\n      background: alpha(bg, 0),\n      backgroundPanel: grays[2],\n      backgroundElement: grays[3],\n      backgroundMenu: grays[3],\n      borderSubtle: grays[6],\n      border: grays[7],\n      borderActive: grays[8],\n      diffAdded: ansi.green,\n      diffRemoved: ansi.red,\n      diffContext: grays[7],\n      diffHunkHeader: grays[7],\n      diffHighlightAdded: ansi.green_bright,\n      diffHighlightRemoved: ansi.red_bright,\n      diffAddedBg: tint(bg_snapshot, ansi.green, diff_alpha),\n      diffRemovedBg: tint(bg_snapshot, ansi.red, diff_alpha),\n      diffContextBg: diff_context_bg,\n      diffLineNumber: textMuted,\n      diffAddedLineNumberBg: tint(diff_context_bg, ansi.green, diff_alpha),\n      diffRemovedLineNumberBg: tint(diff_context_bg, ansi.red, diff_alpha),\n      markdownText: fg,\n      markdownHeading: fg,\n      markdownLink: ansi.blue,\n      markdownLinkText: ansi.cyan,\n      markdownCode: ansi.green,\n      markdownBlockQuote: ansi.yellow,\n      markdownEmph: ansi.yellow,\n      markdownStrong: fg,\n      markdownHorizontalRule: grays[7],\n      markdownListItem: ansi.blue,\n      markdownListEnumeration: ansi.cyan,\n      markdownImage: ansi.blue,\n      markdownImageText: ansi.cyan,\n      markdownCodeBlock: fg,\n      syntaxComment: textMuted,\n      syntaxKeyword: ansi.magenta,\n      syntaxFunction: ansi.blue,\n      syntaxVariable: fg,\n      syntaxString: ansi.green,\n      syntaxNumber: ansi.yellow,\n      syntaxType: ansi.cyan,\n      syntaxOperator: ansi.cyan,\n      syntaxPunctuation: fg,\n    },\n  }\n}\n\nfunction quantizeColor(indexed: RGBA[], rgba: RGBA): RGBA {\n  if (rgba.a === 0 || rgba.intent === \"default\" || rgba.intent === \"indexed\") {\n    return RGBA.clone(rgba)\n  }\n\n  return nearestIndexed(indexed, rgba)\n}\n\nfunction quantizeTheme(theme: TuiThemeCurrent, indexed: RGBA[]): TuiThemeCurrent {\n  const resolved = Object.fromEntries(\n    Object.entries(theme)\n      .filter(([key]) => key !== \"thinkingOpacity\")\n      .map(([key, value]) => [key, quantizeColor(indexed, value as RGBA)]),\n  ) as Partial<Record<ThemeColor, RGBA>>\n\n  return {\n    ...(resolved as Record<ThemeColor, RGBA>),\n    thinkingOpacity: theme.thinkingOpacity,\n  }\n}\n\nfunction splashTheme(theme: TuiThemeCurrent, indexed: RGBA[]): RunSplashTheme {\n  const left = nearestIndexed(indexed, theme.textMuted)\n  const right = nearestIndexed(indexed, theme.text)\n  return {\n    left,\n    right,\n    leftShadow: splashShadow(indexed, theme.background, left, 0.14),\n  }\n}\n\nfunction map(\n  footerTheme: TuiThemeCurrent,\n  scrollbackTheme: TuiThemeCurrent,\n  splash: RunSplashTheme,\n  syntax?: SyntaxStyle,\n): RunTheme {\n  const footerBackground = alpha(footerTheme.background, 1)\n  const footerMode = colorMode(footerBackground)\n  const shade = fade(footerTheme.backgroundMenu, footerTheme.background, 0.12, 0.56, 0.72)\n  const surface = fade(footerTheme.backgroundMenu, footerTheme.background, 0.18, 0.76, 0.9)\n  const line = fade(footerTheme.backgroundMenu, footerTheme.background, 0.24, 0.9, 0.98)\n  const statusBase = tint(footerBackground, rgba(\"#000000\"), footerMode === \"dark\" ? 0.13 : 0.06)\n  const statusAccentBase =\n    footerMode === \"dark\" ? tint(footerBackground, rgba(\"#ffffff\"), 0.06) : tint(statusBase, rgba(\"#000000\"), 0.04)\n  const collapsedStatus = footerMode === \"dark\" && luminance(statusBase) <= 0.04\n  // Pure-black backgrounds need a slight lift or the row disappears into the terminal background.\n  const status = collapsedStatus ? tint(statusBase, statusAccentBase, 0.7) : statusBase\n  const statusAccent = collapsedStatus ? tint(status, rgba(\"#ffffff\"), 0.06) : statusAccentBase\n\n  return {\n    background: footerTheme.background,\n    footer: {\n      highlight: footerTheme.primary,\n      selected: footerTheme.backgroundElement,\n      selectedText: footerTheme.selectedListItemText,\n      warning: footerTheme.warning,\n      error: footerTheme.error,\n      muted: footerTheme.textMuted,\n      text: footerTheme.text,\n      status,\n      statusAccent,\n      shade,\n      surface,\n      pane: footerTheme.backgroundMenu,\n      border: footerTheme.border,\n      line,\n    },\n    entry: {\n      system: {\n        body: scrollbackTheme.textMuted,\n      },\n      user: {\n        body: scrollbackTheme.primary,\n      },\n      assistant: {\n        body: scrollbackTheme.text,\n      },\n      reasoning: {\n        body: scrollbackTheme.textMuted,\n      },\n      tool: {\n        body: scrollbackTheme.text,\n        start: scrollbackTheme.textMuted,\n      },\n      error: {\n        body: scrollbackTheme.error,\n      },\n    },\n    splash,\n    block: {\n      text: scrollbackTheme.text,\n      muted: scrollbackTheme.textMuted,\n      syntax,\n      diffRemoved: scrollbackTheme.diffRemoved,\n      diffAddedBg: transparent,\n      diffRemovedBg: transparent,\n      diffContextBg: transparent,\n      diffHighlightAdded: scrollbackTheme.diffHighlightAdded,\n      diffHighlightRemoved: scrollbackTheme.diffHighlightRemoved,\n      diffLineNumber: scrollbackTheme.diffLineNumber,\n      diffAddedLineNumberBg: scrollbackTheme.diffAddedLineNumberBg,\n      diffRemovedLineNumberBg: scrollbackTheme.diffRemovedLineNumberBg,\n    },\n  }\n}\n\nconst seed = {\n  highlight: RGBA.fromIndex(6, rgba(\"#38bdf8\")),\n  muted: RGBA.fromIndex(8, rgba(\"#64748b\")),\n  text: RGBA.defaultForeground(rgba(\"#f8fafc\")),\n  panel: rgba(\"#0f172a\"),\n  success: RGBA.fromIndex(2, rgba(\"#22c55e\")),\n  warning: RGBA.fromIndex(3, rgba(\"#f59e0b\")),\n  error: RGBA.fromIndex(1, rgba(\"#ef4444\")),\n}\n\nfunction tone(body: ColorInput, start?: ColorInput): Tone {\n  return {\n    body,\n    start,\n  }\n}\n\nconst fallbackSplashIndexed = Array.from({ length: 256 }, (_, index) => RGBA.fromIndex(index))\nconst fallbackSplashLeft = RGBA.fromIndex(67)\nconst fallbackSplashRight = RGBA.fromIndex(110)\n\nexport const RUN_THEME_FALLBACK: RunTheme = {\n  background: RGBA.fromValues(0, 0, 0, 0),\n  footer: {\n    highlight: seed.highlight,\n    selected: seed.text,\n    selectedText: seed.panel,\n    warning: seed.warning,\n    error: seed.error,\n    muted: seed.muted,\n    text: seed.text,\n    status: tint(seed.panel, rgba(\"#000000\"), 0.12),\n    statusAccent: tint(seed.panel, rgba(\"#ffffff\"), 0.06),\n    shade: alpha(seed.panel, 0.68),\n    surface: alpha(seed.panel, 0.86),\n    pane: seed.panel,\n    border: seed.muted,\n    line: alpha(seed.panel, 0.96),\n  },\n  entry: {\n    system: tone(seed.muted),\n    user: tone(seed.highlight),\n    assistant: tone(seed.text),\n    reasoning: tone(seed.muted),\n    tool: tone(seed.text, seed.muted),\n    error: tone(seed.error),\n  },\n  splash: {\n    left: fallbackSplashLeft,\n    right: fallbackSplashRight,\n    leftShadow: splashShadow(fallbackSplashIndexed, RGBA.fromValues(0, 0, 0, 0), fallbackSplashLeft, 0.14),\n  },\n  block: {\n    text: seed.text,\n    muted: seed.muted,\n    diffRemoved: seed.error,\n    diffAddedBg: alpha(seed.success, 0.18),\n    diffRemovedBg: alpha(seed.error, 0.18),\n    diffContextBg: alpha(seed.panel, 0.72),\n    diffHighlightAdded: seed.success,\n    diffHighlightRemoved: seed.error,\n    diffLineNumber: seed.muted,\n    diffAddedLineNumberBg: alpha(seed.success, 0.12),\n    diffRemovedLineNumberBg: alpha(seed.error, 0.12),\n  },\n}\n\nfunction monoTheme(mode: \"dark\" | \"light\"): RunTheme {\n  const foreground = RGBA.defaultForeground(mode === \"light\" ? \"#000000\" : \"#ffffff\")\n  const background = RGBA.defaultBackground(mode === \"light\" ? \"#ffffff\" : \"#000000\")\n  return {\n    background,\n    footer: {\n      highlight: foreground,\n      selected: background,\n      selectedText: foreground,\n      warning: foreground,\n      error: foreground,\n      muted: foreground,\n      text: foreground,\n      status: background,\n      statusAccent: background,\n      shade: background,\n      surface: background,\n      pane: background,\n      border: foreground,\n      line: background,\n    },\n    entry: {\n      system: tone(foreground),\n      user: tone(foreground),\n      assistant: tone(foreground),\n      reasoning: tone(foreground),\n      tool: tone(foreground),\n      error: tone(foreground),\n    },\n    splash: {\n      left: foreground,\n      right: foreground,\n      leftShadow: background,\n    },\n    block: {\n      text: foreground,\n      muted: foreground,\n      diffRemoved: foreground,\n      diffAddedBg: background,\n      diffRemovedBg: background,\n      diffContextBg: background,\n      diffHighlightAdded: foreground,\n      diffHighlightRemoved: foreground,\n      diffLineNumber: foreground,\n      diffAddedLineNumberBg: background,\n      diffRemovedLineNumberBg: background,\n    },\n  }\n}\n\nexport const RUN_THEME_MONO = monoTheme(\"dark\")\nconst RUN_THEME_MONO_LIGHT = monoTheme(\"light\")\n\nexport async function resolveRunTheme(\n  renderer: CliRenderer,\n  config?: RunTuiConfig[\"theme\"],\n  mono = false,\n): Promise<RunTheme> {\n  if (mono) {\n    const mode =\n      config?.mode === \"light\" || config?.mode === \"dark\"\n        ? config.mode\n        : (renderer.themeMode ?? (await renderer.waitForThemeMode(300)))\n    return mode === \"light\" ? RUN_THEME_MONO_LIGHT : RUN_THEME_MONO\n  }\n  try {\n    const colors = await renderer.getPalette({\n      size: 256,\n    })\n    const bg = colors.defaultBackground ?? colors.palette[0]\n    if (!bg) {\n      return RUN_THEME_FALLBACK\n    }\n\n    // Palette-only terminal reloads can leave renderer.themeMode stale, but\n    // ANSI slot zero is not the terminal background when OSC 11 is absent.\n    const pick =\n      config?.mode === \"dark\" || config?.mode === \"light\"\n        ? config.mode\n        : (terminalMode(colors) ?? renderer.themeMode ?? colorMode(RGBA.fromHex(bg)))\n    const { generateSyntax } = await import(\"../theme\")\n    const indexed = indexedPalette(colors, 256)\n    const footerTheme = resolveTheme(generateSystem(colors, pick), pick)\n    const scrollbackTheme = quantizeTheme(footerTheme, indexed)\n    const syntaxTheme: SharedSyntaxTheme = {\n      ...scrollbackTheme,\n      _hasSelectedListItemText: true,\n    }\n    return map(footerTheme, scrollbackTheme, splashTheme(scrollbackTheme, indexed), generateSyntax(syntaxTheme))\n  } catch {\n    return RUN_THEME_FALLBACK\n  }\n}\n",
+    "import {\n  BoxRenderable,\n  CodeRenderable,\n  MarkdownRenderable,\n  RGBA,\n  Renderable,\n  StyledText,\n  TextRenderable,\n  TextTableRenderable,\n  isStyledText,\n  stringToStyledText,\n  type BorderCharacters,\n  type CliRendererExternalOutputEvent,\n  type TreeSitterClient,\n} from \"@opentui/core\"\n\nconst prefixes: Record<number, string> = {\n  0x2192: \"->\",\n  0x2190: \"<-\",\n  0x2731: \"*\",\n  0x2699: \"*\",\n  0x2716: \"!\",\n  0x2717: \"!\",\n  0x25c8: \"*\",\n  0x25c9: \"*\",\n  0x27f3: \"*\",\n}\n\nconst markdown: Record<number, string> = {\n  ...prefixes,\n  0x00a0: \" \",\n  0x00b7: \"-\",\n  0x2010: \"-\",\n  0x2011: \"-\",\n  0x2012: \"-\",\n  0x2013: \"-\",\n  0x2014: \"--\",\n  0x2018: \"'\",\n  0x2019: \"'\",\n  0x201c: '\"',\n  0x201d: '\"',\n  0x2022: \"*\",\n  0x2026: \"...\",\n  0x2191: \"up\",\n  0x2193: \"down\",\n}\n\nconst asciiBorder: BorderCharacters = {\n  topLeft: \"+\",\n  topRight: \"+\",\n  bottomLeft: \"+\",\n  bottomRight: \"+\",\n  horizontal: \"-\",\n  vertical: \"|\",\n  topT: \"+\",\n  bottomT: \"+\",\n  leftT: \"+\",\n  rightT: \"+\",\n  cross: \"+\",\n}\n\nconst hooked = new WeakSet<Renderable>()\n\nexport const monoMarkdownTableOptions = {\n  style: \"columns\" as const,\n  widthMode: \"content\" as const,\n  borders: false,\n}\n\nexport function monoMarkdownRenderable(renderable: MarkdownRenderable): void {\n  monoRenderable(renderable)\n}\n\nfunction monoRenderable(renderable: Renderable): void {\n  if (hooked.has(renderable)) return\n  hooked.add(renderable)\n  // Markdown reconciles nested lists and tables without calling renderNode.\n  // Hook the actual tree so future descendants are transformed before layout.\n  const add = renderable.add.bind(renderable)\n  renderable.add = (child, index) => {\n    if (child instanceof Renderable) monoRenderable(child)\n    return add(child, index)\n  }\n\n  if (renderable instanceof BoxRenderable) renderable.customBorderChars = asciiBorder\n  if (renderable instanceof CodeRenderable) monoCode(renderable)\n  if (renderable instanceof TextRenderable) renderable.content = monoStyledText(renderable.content)\n  if (renderable instanceof TextTableRenderable) monoTable(renderable)\n  renderable.getChildren().forEach(monoRenderable)\n}\n\nfunction monoCode(renderable: CodeRenderable): void {\n  const onChunks = renderable.onChunks\n  const prose = renderable.filetype === \"markdown\" && onChunks !== undefined\n  renderable.onChunks = async (chunks, context) => monoChunks((await onChunks?.(chunks, context)) ?? chunks)\n  renderable.treeSitterClient = monoTreeSitter(renderable.treeSitterClient)\n\n  const initialDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"initialStyledText\")\n  const contentDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"content\")\n  if (!initialDescriptor?.set || !contentDescriptor?.get || !contentDescriptor.set) return\n  const initialSetter = initialDescriptor.set.bind(renderable)\n  const contentGetter = contentDescriptor.get.bind(renderable)\n  const contentSetter = contentDescriptor.set.bind(renderable)\n  const initial = Reflect.get(renderable, \"_initialStyledText\")\n  Object.defineProperty(renderable, \"initialStyledText\", {\n    configurable: true,\n    set(value: StyledText | undefined) {\n      initialSetter(value ? monoStyledText(value) : value)\n    },\n  })\n  Object.defineProperty(renderable, \"content\", {\n    configurable: true,\n    get: contentGetter,\n    set(value: string) {\n      if (!prose || !isStyledText(Reflect.get(renderable, \"_initialStyledText\"))) {\n        renderable.drawUnstyledText = true\n        renderable.initialStyledText = stringToStyledText(value)\n      }\n      contentSetter(value)\n    },\n  })\n\n  if (isStyledText(initial)) {\n    renderable.initialStyledText = initial\n  } else {\n    renderable.drawUnstyledText = true\n    renderable.initialStyledText = stringToStyledText(renderable.content)\n  }\n  if (!renderable.drawUnstyledText) return\n\n  // Refresh the eager buffer with the transformed initial text. Highlighted\n  // chunks continue through onChunks without changing the Markdown source.\n  const content = renderable.content\n  renderable.content = \"\"\n  renderable.content = content\n}\n\nfunction monoTreeSitter(client: TreeSitterClient): TreeSitterClient {\n  return new Proxy(client, {\n    get(target, property) {\n      if (property !== \"highlightOnce\") return Reflect.get(target, property, target)\n      // Keep parser failures on the chunk path instead of OpenTUI's raw-text fallback.\n      return (...args: Parameters<TreeSitterClient[\"highlightOnce\"]>) =>\n        target.highlightOnce(...args).catch(() => ({ highlights: [] }))\n    },\n  })\n}\n\nfunction monoTable(renderable: TextTableRenderable): void {\n  const descriptor = Object.getOwnPropertyDescriptor(TextTableRenderable.prototype, \"content\")\n  if (!descriptor?.get || !descriptor.set) return\n  const cells = new WeakMap<StyledText[\"chunks\"], StyledText[\"chunks\"]>()\n  const content = renderable.content\n  Object.defineProperty(renderable, \"content\", {\n    configurable: true,\n    get: () => descriptor.get!.call(renderable),\n    set: (value: TextTableRenderable[\"content\"]) => {\n      descriptor.set!.call(\n        renderable,\n        value.map((row) =>\n          row.map((cell) => {\n            if (!cell) return cell\n            const cached = cells.get(cell)\n            if (cached) return cached\n            const next = monoChunks(cell)\n            cells.set(cell, next)\n            return next\n          }),\n        ),\n      )\n    },\n  })\n  renderable.content = content\n}\n\nfunction monoStyledText(value: StyledText): StyledText {\n  return new StyledText(monoChunks(value.chunks))\n}\n\nfunction monoChunks(value: StyledText[\"chunks\"]): StyledText[\"chunks\"] {\n  return value.map((chunk) => ({ ...chunk, text: monoText(chunk.text) }))\n}\n\nfunction monoText(value: string): string {\n  return value.replace(/[^\\t\\n\\x20-\\x7e]/gu, (char) => markdown[char.codePointAt(0)!] ?? \"?\")\n}\n\nexport function monoSnapshot(event: CliRendererExternalOutputEvent): void {\n  const buffers = event.snapshot.buffers\n  const chars = buffers.char\n  for (let index = 0; index < chars.length; index += 1) {\n    const point = chars[index]\n    if (point <= 0x7f) continue\n    const offset = index * 4\n    event.snapshot.setCell(\n      index % event.snapshot.width,\n      Math.floor(index / event.snapshot.width),\n      monoCell(point),\n      RGBA.fromArray(buffers.fg.subarray(offset, offset + 4)),\n      RGBA.fromArray(buffers.bg.subarray(offset, offset + 4)),\n      buffers.attributes[index],\n    )\n  }\n}\n\nfunction monoCell(point: number): string {\n  const kind = point >>> 30\n  if (kind === 2) return \"?\"\n  if (kind === 3) return \" \"\n  if (point === 0x2500) return \"-\"\n  if (point === 0x2502) return \"|\"\n  return markdown[point]?.[0] ?? \"?\"\n}\n\nexport function monoPrefix(value: string, mono: boolean): string {\n  if (!mono) return value\n  const point = value.codePointAt(0)\n  if (point === undefined) return value\n  const prefix = prefixes[point]\n  if (!prefix) return value\n  return prefix + value.slice(point > 0xffff ? 2 : 1)\n}\n\nexport function monoToolText(value: string, mono: boolean): string {\n  const result = monoPrefix(value, mono)\n  if (!mono) return result\n  const separator = ` ${String.fromCodePoint(0xb7)} `\n  const index = result.lastIndexOf(separator)\n  if (index === -1) return result\n  const head = result.slice(0, index)\n  if (!head.includes(\" completed\") && head !== \"patch\" && !/^\\d+ questions$/.test(head)) return result\n  return result.slice(0, index) + \" - \" + result.slice(index + separator.length)\n}\n\nexport function monoShortcut(value: string, mono: boolean): string {\n  if (!mono) return value\n  return value\n    .replaceAll(String.fromCodePoint(0x2192), \"right\")\n    .replaceAll(String.fromCodePoint(0x2190), \"left\")\n    .replaceAll(String.fromCodePoint(0x2191), \"up\")\n    .replaceAll(String.fromCodePoint(0x2193), \"down\")\n}\n\nexport function monoTruncate(value: string, width: number, mono: boolean): string {\n  if (!mono || value.length <= width) return value\n  if (width <= 3) return \".\".repeat(Math.max(0, width))\n  return value.slice(0, width - 3) + \"...\"\n}\n\nexport function monoTruncateMiddle(value: string, width: number, mono: boolean): string {\n  if (!mono || value.length <= width) return value\n  if (width <= 3) return \".\".repeat(Math.max(0, width))\n  const available = width - 3\n  const left = Math.ceil(available / 2)\n  return value.slice(0, left) + \"...\" + value.slice(value.length - (available - left))\n}\n"
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+  "debugId": "9A6BC936A112BE8D64756E2164756E21",
+  "names": []
+}

bin/chunk-r47kx5te.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/prompt/display.ts"],
+  "sourcesContent": [
+    "import { stringWidth } from \"../util/string-width\"\n\nconst graphemes = new Intl.Segmenter(undefined, { granularity: \"grapheme\" })\n\nexport function promptOffsetWidth(value: string) {\n  let width = 0\n  for (const part of graphemes.segment(value)) {\n    // Textarea offsets count newlines as one position; terminal width counts them as zero.\n    width += part.segment === \"\\n\" ? 1 : stringWidth(part.segment)\n  }\n  return width\n}\n\nfunction displayOffsetIndex(value: string, offset: number) {\n  if (offset <= 0) return 0\n\n  let width = 0\n  for (const part of graphemes.segment(value)) {\n    const next = width + promptOffsetWidth(part.segment)\n    if (next > offset) return part.index\n    width = next\n  }\n\n  return value.length\n}\n\nexport function displaySlice(value: string, start = 0, end = promptOffsetWidth(value)) {\n  return value.slice(displayOffsetIndex(value, start), displayOffsetIndex(value, end))\n}\n\nexport function displayCharAt(value: string, offset: number) {\n  let width = 0\n  for (const part of graphemes.segment(value)) {\n    const next = width + promptOffsetWidth(part.segment)\n    if (offset === width || offset < next) return part.segment\n    width = next\n  }\n}\n\nexport function mentionTriggerIndex(value: string, offset = promptOffsetWidth(value)) {\n  const text = displaySlice(value, 0, offset)\n  const index = text.lastIndexOf(\"@\")\n  if (index === -1) return\n\n  const before = index === 0 ? undefined : text[index - 1]\n  const query = text.slice(index)\n  if ((before === undefined || /\\s/.test(before)) && !/\\s/.test(query)) {\n    return promptOffsetWidth(text.slice(0, index))\n  }\n}\n"
+  ],
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+  "debugId": "32603D98295814F964756E2164756E21",
+  "names": []
+}

bin/chunk-r5jwqmc5.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/database/migration/20260707120000_migrate_prelaunch_v2_state.ts"],
+  "sourcesContent": [
+    "import { sql } from \"drizzle-orm\"\nimport { Effect, Schema } from \"effect\"\nimport type { DatabaseMigration } from \"../migration\"\n\nconst decodeJson = Schema.decodeUnknownSync(Schema.UnknownFromJsonString)\nconst isObject = Schema.is(Schema.Record(Schema.String, Schema.Unknown))\n\nexport default {\n  id: \"20260707120000_migrate_prelaunch_v2_state\",\n  up(tx) {\n    return Effect.gen(function* () {\n      yield* tx.run(\n        sql`DELETE FROM session_message WHERE type = 'compaction' AND json_extract(data, '$.status') = 'queued'`,\n      )\n      const messages = yield* tx.all<{ id: string; type: string; data: string }>(\n        sql`SELECT id, type, data FROM session_message WHERE type IN ('skill', 'shell', 'assistant', 'compaction', 'synthetic')`,\n      )\n      for (const row of messages) {\n        const data = object(decodeJson(row.data))\n        yield* tx.run(\n          sql`UPDATE session_message SET data = ${JSON.stringify(messageData(row.type, data))} WHERE id = ${row.id}`,\n        )\n      }\n\n      yield* tx.run(sql`DELETE FROM event WHERE type = 'session.compaction.delta.1'`)\n      const events = yield* tx.all<{ id: string; aggregateID: string; seq: number; type: string; data: string }>(sql`\n        SELECT id, aggregate_id as aggregateID, seq, type, data\n        FROM event\n        WHERE type IN (\n          'session.skill.activated.1',\n          'session.skill.activated.2',\n          'session.compaction.started.1',\n          'session.compaction.started.2',\n          'session.compaction.ended.1',\n          'session.compaction.failed.1',\n          'session.compaction.failed.2',\n          'session.revert.staged.1',\n          'session.revert.staged.2'\n        )\n        ORDER BY aggregate_id, seq\n      `)\n      const compactionReasons = new Map<string, \"auto\" | \"manual\">()\n      for (const row of events) {\n        const data = object(decodeJson(row.data))\n        if (row.type.startsWith(\"session.compaction.ended.\")) {\n          compactionReasons.delete(row.aggregateID)\n          continue\n        }\n        const event = eventData(row.type, data, compactionReasons.get(row.aggregateID))\n        if (row.type.startsWith(\"session.compaction.started.\"))\n          compactionReasons.set(row.aggregateID, event.data.reason === \"auto\" ? \"auto\" : \"manual\")\n        if (row.type.startsWith(\"session.compaction.failed.\")) compactionReasons.delete(row.aggregateID)\n        yield* tx.run(\n          sql`UPDATE event SET type = ${event.type}, data = ${JSON.stringify(event.data)} WHERE id = ${row.id}`,\n        )\n      }\n    })\n  },\n} satisfies DatabaseMigration.Migration\n\nfunction messageData(type: string, data: Record<string, unknown>) {\n  if (type === \"skill\")\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      skill: data.skill ?? data.id ?? data.name,\n      name: data.name,\n      text: data.text,\n    })\n  if (type === \"shell\") {\n    const shell = object(data.shell)\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      shellID: data.shellID ?? shell.id,\n      command: data.command ?? shell.command,\n      status: data.status ?? shell.status,\n      exit: data.exit ?? shell.exit,\n      output: data.output,\n    })\n  }\n  if (type === \"assistant\")\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      agent: data.agent,\n      model: data.model,\n      content: Array.isArray(data.content) ? data.content.map(assistantContent) : data.content,\n      snapshot: data.snapshot,\n      finish: data.finish,\n      cost: data.cost,\n      tokens: data.tokens,\n      error: data.error,\n      retry: data.retry,\n    })\n  if (type === \"compaction\") {\n    if (data.status === \"failed\")\n      return defined({\n        metadata: data.metadata,\n        time: data.time,\n        status: data.status,\n        reason: data.reason,\n        error: data.error ?? genericCompactionError,\n      })\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      status: data.status,\n      reason: data.reason,\n      summary: data.summary,\n      recent: data.recent,\n    })\n  }\n  if (type === \"synthetic\")\n    return defined({ metadata: data.metadata, time: data.time, text: data.text, description: data.description })\n  const { sessionID: _, ...current } = data\n  return current\n}\n\nfunction assistantContent(value: unknown) {\n  const content = object(value)\n  if (content.type === \"text\") return defined({ type: content.type, text: content.text })\n  if (content.type === \"reasoning\")\n    return defined({ type: content.type, text: content.text, state: content.state, time: content.time })\n  if (content.type !== \"tool\") return content\n  return defined({\n    type: content.type,\n    id: content.id,\n    name: content.name,\n    executed: content.executed,\n    providerState: content.providerState,\n    providerResultState: content.providerResultState,\n    state: toolState(content.state),\n    time: content.time,\n  })\n}\n\nfunction toolState(value: unknown) {\n  const state = object(value)\n  if (state.status === \"pending\" || state.status === \"streaming\")\n    return defined({ status: \"streaming\", input: state.input })\n  if (state.status === \"running\")\n    return defined({ status: state.status, input: state.input, structured: state.structured, content: state.content })\n  if (state.status === \"completed\")\n    return defined({\n      status: state.status,\n      input: state.input,\n      structured: state.structured,\n      content: state.content,\n      result: state.result,\n    })\n  if (state.status === \"error\")\n    return defined({\n      status: state.status,\n      input: state.input,\n      structured: state.structured,\n      content: state.content,\n      error: state.error,\n      result: state.result,\n    })\n  return state\n}\n\nfunction eventData(type: string, data: Record<string, unknown>, compactionReason?: \"auto\" | \"manual\") {\n  if (type.startsWith(\"session.skill.activated.\"))\n    return {\n      type: \"session.skill.activated.1\",\n      data: defined({ sessionID: data.sessionID, id: data.id ?? data.name, name: data.name, text: data.text }),\n    }\n  if (type.startsWith(\"session.compaction.started.\"))\n    return {\n      type: \"session.compaction.started.1\",\n      data: defined({\n        sessionID: data.sessionID,\n        reason: data.reason,\n        recent: data.recent ?? \"\",\n        inputID: data.inputID,\n      }),\n    }\n  if (type.startsWith(\"session.compaction.failed.\"))\n    return {\n      type: \"session.compaction.failed.1\",\n      data: defined({\n        sessionID: data.sessionID,\n        reason: data.reason ?? compactionReason ?? \"manual\",\n        error: data.error ?? genericCompactionError,\n        inputID: data.inputID,\n      }),\n    }\n  const revert = object(data.revert)\n  return {\n    type: \"session.revert.staged.1\",\n    data: defined({\n      sessionID: data.sessionID,\n      revert: defined({\n        messageID: revert.messageID,\n        partID: revert.partID,\n        snapshot: revert.snapshot,\n        files: Array.isArray(revert.files)\n          ? revert.files.map((value) => {\n              const file = object(value)\n              return defined({\n                file: file.file ?? file.path,\n                patch: file.patch,\n                additions: file.additions,\n                deletions: file.deletions,\n                status: file.status,\n              })\n            })\n          : undefined,\n      }),\n    }),\n  }\n}\n\nconst genericCompactionError = {\n  type: \"compaction.failed\",\n  message: \"Compaction failed before recording an error\",\n}\n\nfunction object(value: unknown): Record<string, unknown> {\n  return isObject(value) ? value : {}\n}\n\nfunction defined(value: Record<string, unknown>) {\n  return Object.fromEntries(Object.entries(value).filter((entry) => entry[1] !== undefined))\n}\n"
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+  "debugId": "8AE63F2C6C4A3F1C64756E2164756E21",
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+}

bin/chunk-rj62vcc9.js.map

+{
+  "version": 3,
+  "sources": ["../simulation/src/manifest.ts", "../simulation/src/protocol/index.ts", "../simulation/src/control-server.ts"],
+  "sourcesContent": [
+    "import { homedir } from \"node:os\"\nimport { isAbsolute, join } from \"node:path\"\nimport { Config, Effect, FileSystem, Schema } from \"effect\"\nimport { PositiveInt } from \"@opencode-ai/core/schema\"\n\nconst InstanceName = Schema.String.check(\n  Schema.makeFilter((value) =>\n    /^[a-zA-Z0-9][a-zA-Z0-9._-]{0,63}$/.test(value) ? undefined : \"a valid Drive instance name\",\n  ),\n)\n\nconst Endpoint = Schema.String.check(\n  Schema.makeFilter((value) => {\n    if (!URL.canParse(value)) return \"a loopback WebSocket endpoint with an explicit port\"\n    const endpoint = new URL(value)\n    const port = Number(endpoint.port)\n    return endpoint.protocol === \"ws:\" && endpoint.hostname === \"127.0.0.1\" && Number.isInteger(port) && port >= 1\n      ? undefined\n      : \"a loopback WebSocket endpoint with an explicit port\"\n  }),\n)\n\nconst AbsolutePath = Schema.String.check(\n  Schema.makeFilter((value) => (isAbsolute(value) ? undefined : \"an absolute path\")),\n)\n\nexport const Manifest = Schema.Struct({\n  endpoints: Schema.Struct({\n    ui: Endpoint,\n    backend: Endpoint,\n  }),\n  viewport: Schema.optionalKey(\n    Schema.Struct({\n      cols: PositiveInt,\n      rows: PositiveInt,\n    }),\n  ),\n  recording: Schema.optionalKey(\n    Schema.Struct({\n      timeline: AbsolutePath,\n    }),\n  ),\n})\nexport interface Manifest extends Schema.Schema.Type<typeof Manifest> {}\n\nexport class ResolveError extends Schema.TaggedErrorClass<ResolveError>()(\"DriveManifest.ResolveError\", {\n  reason: Schema.Literals([\"config\", \"not-found\", \"read\", \"decode\"]),\n  path: Schema.optionalKey(Schema.String),\n  message: Schema.String,\n  cause: Schema.Defect(),\n}) {}\n\nexport const defaults: Manifest = {\n  endpoints: {\n    ui: \"ws://127.0.0.1:40900\",\n    backend: \"ws://127.0.0.1:40950\",\n  },\n}\n\nconst decode = Schema.decodeUnknownEffect(Schema.fromJsonString(Manifest))\n\nconst configError = (cause: unknown) =>\n  new ResolveError({\n    reason: \"config\",\n    message: `Invalid Drive configuration: ${String(cause)}`,\n    cause,\n  })\n\nexport const resolve = Effect.fn(\"DriveManifest.resolve\")(function* () {\n  const name = yield* Config.schema(InstanceName, \"OPENCODE_DRIVE\").pipe(Effect.mapError(configError))\n  if (name === \"1\") return defaults\n\n  const state = yield* Config.string(\"XDG_STATE_HOME\").pipe(\n    Config.withDefault(join(homedir(), \".local\", \"state\")),\n    Effect.mapError(configError),\n  )\n  const directory = yield* Config.string(\"DRIVE_REGISTRY_DIR\").pipe(\n    Config.withDefault(join(state, \"opencode-drive\", \"instances\")),\n    Effect.mapError(configError),\n  )\n  const file = join(directory, `${name}.json`)\n  const fs = yield* FileSystem.FileSystem\n  const contents = yield* fs.readFileString(file).pipe(\n    Effect.mapError(\n      (cause) =>\n        new ResolveError({\n          reason: cause.reason._tag === \"NotFound\" ? \"not-found\" : \"read\",\n          path: file,\n          message:\n            cause.reason._tag === \"NotFound\"\n              ? `Drive manifest not found: ${file}`\n              : `Failed to read Drive manifest: ${file}: ${cause.message}`,\n          cause,\n        }),\n    ),\n  )\n  return yield* decode(contents).pipe(\n    Effect.mapError(\n      (cause) =>\n        new ResolveError({\n          reason: \"decode\",\n          path: file,\n          message: `Invalid Drive manifest: ${file}: ${cause.message}`,\n          cause,\n        }),\n    ),\n  )\n})\n\nexport * as DriveManifest from \"./manifest\"\n",
+    "import { Effect, Schema } from \"effect\"\n\nconst JsonRpcID = Schema.Union([Schema.String, Schema.Number, Schema.Null])\ntype Json = Schema.Schema.Type<typeof Schema.Json>\n\nexport namespace JsonRpc {\n  export const RequestFields = {\n    jsonrpc: Schema.Literal(\"2.0\"),\n    id: Schema.optional(JsonRpcID),\n  }\n  export const Request = Schema.Struct({\n    ...RequestFields,\n    method: Schema.String,\n    params: Schema.optional(Schema.Json),\n  })\n  export interface Request extends Schema.Schema.Type<typeof Request> {}\n\n  export const ErrorObject = Schema.Struct({\n    code: Schema.Number,\n    message: Schema.String,\n    data: Schema.optional(Schema.Json),\n  })\n\n  export const Response = Schema.Struct({\n    jsonrpc: Schema.Literal(\"2.0\"),\n    id: JsonRpcID,\n    result: Schema.optional(Schema.Json),\n    error: Schema.optional(ErrorObject),\n  })\n  export interface Response extends Schema.Schema.Type<typeof Response> {}\n\n  export const decodeRequest = Schema.decodeUnknownSync(Request)\n\n  export function success(id: Request[\"id\"], result: unknown): Response | undefined {\n    if (id === undefined) return undefined\n    return { jsonrpc: \"2.0\", id, result: result as Json }\n  }\n\n  export function failure(id: Request[\"id\"], error: unknown): Response {\n    return {\n      jsonrpc: \"2.0\",\n      id: id ?? null,\n      error: {\n        code: -32000,\n        message: error instanceof Error ? error.message : String(error),\n      },\n    }\n  }\n}\n\nexport namespace Handshake {\n  export const ProtocolVersion = Schema.Literal(1)\n  export type ProtocolVersion = Schema.Schema.Type<typeof ProtocolVersion>\n\n  export const Capability = Schema.NonEmptyString\n  export type Capability = Schema.Schema.Type<typeof Capability>\n\n  export const EndpointRole = Schema.Literals([\"ui\", \"backend\"])\n  export type EndpointRole = Schema.Schema.Type<typeof EndpointRole>\n\n  export const Identity = Schema.Struct({\n    name: Schema.NonEmptyString,\n    version: Schema.NonEmptyString,\n  })\n  export interface Identity extends Schema.Schema.Type<typeof Identity> {}\n\n  export const Params = Schema.Struct({\n    client: Identity,\n    expectedRole: EndpointRole,\n    offeredVersions: Schema.Array(Schema.Int.check(Schema.isGreaterThan(0))).check(\n      Schema.isMinLength(1),\n      Schema.isUnique(),\n    ),\n    requiredCapabilities: Schema.Array(Capability).check(Schema.isUnique()),\n    optionalCapabilities: Schema.Array(Capability).check(Schema.isUnique()),\n  })\n  export interface Params extends Schema.Schema.Type<typeof Params> {}\n\n  export const Response = Schema.Struct({\n    protocolVersion: ProtocolVersion,\n    role: EndpointRole,\n    server: Identity,\n    capabilities: Schema.Array(Capability),\n  })\n  export interface Response extends Schema.Schema.Type<typeof Response> {}\n\n  export const Request = Schema.Struct({\n    ...JsonRpc.RequestFields,\n    method: Schema.Literal(\"simulation.handshake\"),\n    params: Params,\n  })\n  export interface Request extends Schema.Schema.Type<typeof Request> {}\n\n  export interface DispatchAction {\n    readonly role: EndpointRole\n    readonly server: Identity\n    readonly capabilities: ReadonlyArray<Capability>\n  }\n\n  export class RoleMismatchError extends Schema.TaggedErrorClass<RoleMismatchError>()(\n    \"SimulationHandshake.RoleMismatchError\",\n    {\n      expected: EndpointRole,\n      actual: EndpointRole,\n      message: Schema.String,\n    },\n  ) {}\n\n  export class UnsupportedProtocolError extends Schema.TaggedErrorClass<UnsupportedProtocolError>()(\n    \"SimulationHandshake.UnsupportedProtocolError\",\n    {\n      offered: Schema.Array(Schema.Number),\n      supported: Schema.Array(ProtocolVersion),\n      message: Schema.String,\n    },\n  ) {}\n\n  export class MissingCapabilityError extends Schema.TaggedErrorClass<MissingCapabilityError>()(\n    \"SimulationHandshake.MissingCapabilityError\",\n    {\n      missing: Schema.Array(Capability),\n      message: Schema.String,\n    },\n  ) {}\n\n  export function dispatch(action: DispatchAction, params: Params) {\n    return Effect.gen(function* () {\n      if (params.expectedRole !== action.role) {\n        return yield* Effect.fail(\n          new RoleMismatchError({\n            expected: params.expectedRole,\n            actual: action.role,\n            message: `Expected simulation endpoint role ${params.expectedRole}, received ${action.role}`,\n          }),\n        )\n      }\n      if (!params.offeredVersions.includes(1)) {\n        return yield* Effect.fail(\n          new UnsupportedProtocolError({\n            offered: params.offeredVersions,\n            supported: [1],\n            message: \"No mutually supported simulation protocol version\",\n          }),\n        )\n      }\n      const installed = new Set(action.capabilities)\n      const missing = params.requiredCapabilities.filter((capability) => !installed.has(capability))\n      if (missing.length > 0) {\n        return yield* Effect.fail(\n          new MissingCapabilityError({\n            missing,\n            message: `Simulation endpoint is missing required capabilities: ${missing.join(\", \")}`,\n          }),\n        )\n      }\n      return {\n        protocolVersion: 1,\n        role: action.role,\n        server: action.server,\n        capabilities: Array.from(installed),\n      } satisfies Response\n    })\n  }\n}\n\nexport namespace Frontend {\n  export const Capabilities = [\n    \"ui.type\",\n    \"ui.press\",\n    \"ui.enter\",\n    \"ui.arrow\",\n    \"ui.focus\",\n    \"ui.click\",\n    \"ui.click.semantic\",\n    \"ui.resize\",\n    \"ui.matches\",\n    \"ui.screenshot\",\n    \"ui.state\",\n    \"ui.snapshot\",\n    \"ui.capture\",\n    \"ui.recording.finish\",\n  ] as const satisfies ReadonlyArray<Handshake.Capability>\n\n  export const KeyModifiers = Schema.Struct({\n    ctrl: Schema.optional(Schema.Boolean),\n    shift: Schema.optional(Schema.Boolean),\n    meta: Schema.optional(Schema.Boolean),\n    super: Schema.optional(Schema.Boolean),\n    hyper: Schema.optional(Schema.Boolean),\n  })\n  export interface KeyModifiers extends Schema.Schema.Type<typeof KeyModifiers> {}\n\n  export const SemanticClickTarget = Schema.Struct({\n    id: Schema.NonEmptyString,\n    instance: Schema.optionalKey(Schema.NonEmptyString),\n    element: Schema.Number.check(Schema.isInt(), Schema.isGreaterThan(0)),\n  })\n  export interface SemanticClickTarget extends Schema.Schema.Type<typeof SemanticClickTarget> {}\n\n  export const Action = Schema.Union([\n    Schema.Struct({ type: Schema.Literal(\"ui.type\"), text: Schema.String }),\n    Schema.Struct({ type: Schema.Literal(\"ui.press\"), key: Schema.String, modifiers: Schema.optional(KeyModifiers) }),\n    Schema.Struct({ type: Schema.Literal(\"ui.enter\") }),\n    Schema.Struct({ type: Schema.Literal(\"ui.arrow\"), direction: Schema.Literals([\"up\", \"down\", \"left\", \"right\"]) }),\n    Schema.Struct({ type: Schema.Literal(\"ui.focus\"), target: Schema.Number }),\n    Schema.Struct({\n      type: Schema.Literal(\"ui.click\"),\n      target: Schema.Number,\n      x: Schema.Number,\n      y: Schema.Number,\n      semantic: Schema.optionalKey(SemanticClickTarget),\n    }),\n    Schema.Struct({ type: Schema.Literal(\"ui.resize\"), cols: Schema.Number, rows: Schema.Number }),\n  ])\n  export type Action = Schema.Schema.Type<typeof Action>\n\n  export const Element = Schema.Struct({\n    id: Schema.String,\n    num: Schema.Number,\n    x: Schema.Number,\n    y: Schema.Number,\n    width: Schema.Number,\n    height: Schema.Number,\n    focusable: Schema.Boolean,\n    focused: Schema.Boolean,\n    clickable: Schema.Boolean,\n    editor: Schema.Boolean,\n  })\n  export interface Element extends Schema.Schema.Type<typeof Element> {}\n\n  export const State = Schema.Struct({\n    focused: Schema.Struct({\n      renderable: Schema.optional(Schema.Number),\n      editor: Schema.Boolean,\n    }),\n    elements: Schema.Array(Element),\n  })\n  export interface State extends Schema.Schema.Type<typeof State> {}\n\n  export const SemanticNode = Schema.Struct({\n    id: Schema.NonEmptyString,\n    instance: Schema.optionalKey(Schema.NonEmptyString),\n    parent: Schema.optionalKey(Schema.NonEmptyString),\n    role: Schema.NonEmptyString,\n    label: Schema.optionalKey(Schema.NonEmptyString),\n    element: Schema.Number.check(Schema.isInt(), Schema.isGreaterThan(0)),\n    focused: Schema.optionalKey(Schema.Boolean),\n    selected: Schema.optionalKey(Schema.Boolean),\n    expanded: Schema.optionalKey(Schema.Boolean),\n    disabled: Schema.optionalKey(Schema.Boolean),\n  })\n  export interface SemanticNode extends Schema.Schema.Type<typeof SemanticNode> {}\n\n  export const SemanticSnapshot = Schema.Struct({\n    format: Schema.Literal(\"opencode-ui-snapshot-v1\"),\n    nodes: Schema.Array(SemanticNode).check(\n      Schema.makeFilter((nodes) => {\n        const ids = new Set(nodes.map((node) => node.id))\n        if (ids.size !== nodes.length) return \"semantic node ids must be unique\"\n        if (new Set(nodes.map((node) => node.element)).size !== nodes.length)\n          return \"semantic node elements must be unique\"\n        if (nodes.some((node) => node.parent !== undefined && !ids.has(node.parent)))\n          return \"semantic node parents must reference another node\"\n        const parents = new Map(nodes.map((node) => [node.id, node.parent]))\n        for (const node of nodes) {\n          const visited = new Set<string>()\n          let current: string | undefined = node.id\n          while (current !== undefined) {\n            if (visited.has(current)) return \"semantic node hierarchy must be acyclic\"\n            visited.add(current)\n            current = parents.get(current)\n          }\n        }\n        return undefined\n      }),\n    ),\n  })\n  export interface SemanticSnapshot extends Schema.Schema.Type<typeof SemanticSnapshot> {}\n\n  export const Screenshot = Schema.String\n  export type Screenshot = Schema.Schema.Type<typeof Screenshot>\n\n  export const Color = Schema.Tuple([Schema.Number, Schema.Number, Schema.Number, Schema.Number])\n  export type Color = Schema.Schema.Type<typeof Color>\n\n  export const CapturedFrame = Schema.Struct({\n    cols: Schema.Number,\n    rows: Schema.Number,\n    cursor: Schema.Tuple([Schema.Number, Schema.Number]),\n    lines: Schema.Array(\n      Schema.Struct({\n        spans: Schema.Array(\n          Schema.Struct({\n            text: Schema.String,\n            fg: Color,\n            bg: Color,\n            attributes: Schema.Number,\n            width: Schema.Number,\n          }),\n        ),\n      }),\n    ),\n  })\n  export interface CapturedFrame extends Schema.Schema.Type<typeof CapturedFrame> {}\n\n  export const RecordingFinish = Schema.String\n  export type RecordingFinish = Schema.Schema.Type<typeof RecordingFinish>\n\n  export const Matches = Schema.Boolean\n  export type Matches = Schema.Schema.Type<typeof Matches>\n\n  export const ScreenshotParams = Schema.Struct({ name: Schema.optional(Schema.String) })\n  export interface ScreenshotParams extends Schema.Schema.Type<typeof ScreenshotParams> {}\n\n  export const TypeParams = Schema.Struct({ text: Schema.String })\n  export interface TypeParams extends Schema.Schema.Type<typeof TypeParams> {}\n\n  export const MatchesParams = Schema.Struct({ text: Schema.String })\n  export interface MatchesParams extends Schema.Schema.Type<typeof MatchesParams> {}\n\n  export const PressParams = Schema.Struct({ key: Schema.String, modifiers: Schema.optional(KeyModifiers) })\n  export interface PressParams extends Schema.Schema.Type<typeof PressParams> {}\n\n  export const ArrowParams = Schema.Struct({ direction: Schema.Literals([\"up\", \"down\", \"left\", \"right\"]) })\n  export interface ArrowParams extends Schema.Schema.Type<typeof ArrowParams> {}\n\n  export const FocusParams = Schema.Struct({ target: Schema.Number })\n  export interface FocusParams extends Schema.Schema.Type<typeof FocusParams> {}\n\n  export const ClickParams = Schema.Struct({\n    target: Schema.Number,\n    x: Schema.Number,\n    y: Schema.Number,\n    semantic: Schema.optionalKey(SemanticClickTarget),\n  })\n  export interface ClickParams extends Schema.Schema.Type<typeof ClickParams> {}\n\n  export const ResizeParams = Schema.Struct({ cols: Schema.Number, rows: Schema.Number })\n  export interface ResizeParams extends Schema.Schema.Type<typeof ResizeParams> {}\n\n  export const Request = Schema.Union([\n    Handshake.Request,\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.type\"), params: TypeParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.press\"), params: PressParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.arrow\"), params: ArrowParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.focus\"), params: FocusParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.click\"), params: ClickParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.resize\"), params: ResizeParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.matches\"), params: MatchesParams }),\n    Schema.Struct({\n      ...JsonRpc.RequestFields,\n      method: Schema.Literal(\"ui.screenshot\"),\n      params: Schema.optional(ScreenshotParams),\n    }),\n    Schema.Struct({\n      ...JsonRpc.RequestFields,\n      method: Schema.Literals([\"ui.enter\", \"ui.state\", \"ui.snapshot\", \"ui.recording.finish\"]),\n    }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.capture\") }),\n  ])\n  export type Request = Schema.Schema.Type<typeof Request>\n  export const decodeRequest = Schema.decodeUnknownSync(Request)\n  export const decodeRequestEffect = Schema.decodeUnknownEffect(Schema.fromJsonString(Request))\n}\n\nexport namespace Backend {\n  export const Capabilities = [\n    \"llm.attach\",\n    \"llm.chunk\",\n    \"llm.finish\",\n    \"llm.disconnect\",\n    \"llm.pending\",\n    \"llm.request\",\n    \"llm.tool-input-delta\",\n    \"tool.attach\",\n    \"tool.update\",\n    \"tool.finish\",\n    \"tool.fail\",\n    \"tool.invocation\",\n    \"tool.cancel\",\n  ] as const satisfies ReadonlyArray<Handshake.Capability>\n\n  export const Item = Schema.Union([\n    Schema.Struct({ type: Schema.Literal(\"textDelta\"), text: Schema.String }),\n    Schema.Struct({ type: Schema.Literal(\"reasoningDelta\"), text: Schema.String }),\n    Schema.Struct({\n      type: Schema.Literal(\"toolInputStart\"),\n      index: Schema.Number,\n      id: Schema.String,\n      name: Schema.String,\n    }),\n    Schema.Struct({\n      type: Schema.Literal(\"toolInputDelta\"),\n      index: Schema.Number,\n      text: Schema.String,\n    }),\n    Schema.Struct({\n      type: Schema.Literal(\"toolCall\"),\n      index: Schema.Number,\n      id: Schema.String,\n      name: Schema.String,\n      input: Schema.Json,\n    }),\n    Schema.Struct({ type: Schema.Literal(\"raw\"), chunk: Schema.Json }),\n  ])\n  export type Item = Schema.Schema.Type<typeof Item>\n\n  export const FinishReason = Schema.Literals([\"stop\", \"tool-calls\", \"length\", \"content-filter\"])\n  export type FinishReason = Schema.Schema.Type<typeof FinishReason>\n\n  export const ToolContent = Schema.Union([\n    Schema.Struct({ type: Schema.Literal(\"text\"), text: Schema.String }),\n    Schema.Struct({\n      type: Schema.Literal(\"file\"),\n      data: Schema.String,\n      mime: Schema.NonEmptyString,\n      name: Schema.optionalKey(Schema.String),\n    }),\n  ])\n  export type ToolContent = Schema.Schema.Type<typeof ToolContent>\n\n  const ToolName = Schema.NonEmptyString.check(\n    Schema.makeFilter((name) =>\n      /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(name) ? undefined : \"simulated tool names must be provider-safe\",\n    ),\n  )\n  const ToolNamespace = Schema.NonEmptyString.check(\n    Schema.makeFilter((namespace) =>\n      namespace.split(\".\").every((segment) => /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(segment))\n        ? undefined\n        : \"simulated tool namespaces must contain provider-safe segments\",\n    ),\n  )\n\n  export const ToolRegistration = Schema.Struct({\n    name: ToolName,\n    description: Schema.String,\n    inputSchema: Schema.Record(Schema.String, Schema.Json),\n    outputSchema: Schema.optionalKey(Schema.Record(Schema.String, Schema.Json)),\n    permission: Schema.optionalKey(Schema.NonEmptyString),\n    options: Schema.optionalKey(\n      Schema.Struct({\n        namespace: Schema.optionalKey(ToolNamespace),\n        codemode: Schema.optionalKey(Schema.Boolean),\n      }),\n    ),\n  })\n  export interface ToolRegistration extends Schema.Schema.Type<typeof ToolRegistration> {}\n\n  export const ToolAttachParams = Schema.Struct({\n    tools: Schema.Array(ToolRegistration).check(\n      Schema.makeFilter((tools) => {\n        const names = tools.map(exposedToolName)\n        if (names.some((name) => !/^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(name)))\n          return \"simulated tool names including namespaces must be provider-safe\"\n        if (new Set(names).size !== names.length) return \"simulated tool registrations must have unique exposed names\"\n        if (\n          tools.some(\n            (tool) =>\n              tool.name === \"execute\" && tool.options?.namespace === undefined && tool.options?.codemode === false,\n          )\n        )\n          return 'direct simulated tool name \"execute\" is reserved'\n        return undefined\n      }),\n    ),\n  })\n  export interface ToolAttachParams extends Schema.Schema.Type<typeof ToolAttachParams> {}\n\n  export function exposedToolName(registration: ToolRegistration) {\n    return registration.options?.namespace === undefined\n      ? registration.name\n      : `${registration.options.namespace.replaceAll(\".\", \"_\")}_${registration.name}`\n  }\n\n  export const ToolProgress = Schema.Record(Schema.String, Schema.Json)\n  export interface ToolProgress extends Schema.Schema.Type<typeof ToolProgress> {}\n\n  export const ToolOutput = Schema.Struct({\n    structured: Schema.Json,\n    content: Schema.Array(ToolContent),\n  })\n  export interface ToolOutput extends Schema.Schema.Type<typeof ToolOutput> {}\n\n  export const ToolUpdateParams = Schema.Struct({\n    id: Schema.String,\n    sequence: Schema.Int.check(Schema.isGreaterThanOrEqualTo(0)),\n    update: ToolProgress,\n  })\n  export interface ToolUpdateParams extends Schema.Schema.Type<typeof ToolUpdateParams> {}\n\n  export const ToolFinishParams = Schema.Struct({ id: Schema.String, output: ToolOutput })\n  export interface ToolFinishParams extends Schema.Schema.Type<typeof ToolFinishParams> {}\n\n  export const ToolFailParams = Schema.Struct({ id: Schema.String, message: Schema.String })\n  export interface ToolFailParams extends Schema.Schema.Type<typeof ToolFailParams> {}\n\n  export const ToolInvocation = Schema.Struct({\n    id: Schema.String,\n    name: Schema.String,\n    input: Schema.Json,\n    context: Schema.Struct({\n      sessionID: Schema.String,\n      agent: Schema.String,\n      messageID: Schema.String,\n      callID: Schema.String,\n    }),\n  })\n  export interface ToolInvocation extends Schema.Schema.Type<typeof ToolInvocation> {}\n\n  export const ToolCancellation = Schema.Struct({\n    id: Schema.String,\n    reason: Schema.Literal(\"interrupted\"),\n  })\n  export interface ToolCancellation extends Schema.Schema.Type<typeof ToolCancellation> {}\n\n  export const ChunkParams = Schema.Struct({ id: Schema.String, items: Schema.Array(Item) })\n  export interface ChunkParams extends Schema.Schema.Type<typeof ChunkParams> {}\n\n  export const FinishParams = Schema.Struct({\n    id: Schema.String,\n    reason: FinishReason.pipe(Schema.withDecodingDefault(Effect.succeed(\"stop\" as const))),\n  })\n  export interface FinishParams extends Schema.Schema.Type<typeof FinishParams> {}\n\n  export const DisconnectParams = Schema.Struct({ id: Schema.String })\n  export interface DisconnectParams extends Schema.Schema.Type<typeof DisconnectParams> {}\n\n  export const Request = Schema.Union([\n    Handshake.Request,\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"llm.chunk\"), params: ChunkParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"llm.finish\"), params: FinishParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"llm.disconnect\"), params: DisconnectParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.attach\"), params: ToolAttachParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.update\"), params: ToolUpdateParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.finish\"), params: ToolFinishParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.fail\"), params: ToolFailParams }),\n    Schema.Struct({\n      ...JsonRpc.RequestFields,\n      method: Schema.Literals([\"llm.attach\", \"llm.pending\"]),\n    }),\n  ])\n  export type Request = Schema.Schema.Type<typeof Request>\n  export const decodeRequest = Schema.decodeUnknownSync(Request)\n  export const decodeRequestEffect = Schema.decodeUnknownEffect(Schema.fromJsonString(Request))\n\n  export const ProviderInvocation = Schema.Struct({ id: Schema.String, url: Schema.String, body: Schema.Json })\n  export interface ProviderInvocation extends Schema.Schema.Type<typeof ProviderInvocation> {}\n\n  export const NetworkLogEntry = Schema.Struct({\n    time: Schema.Number,\n    method: Schema.String,\n    url: Schema.String,\n    matched: Schema.Boolean,\n  })\n  export interface NetworkLogEntry extends Schema.Schema.Type<typeof NetworkLogEntry> {}\n}\n\nexport * as SimulationProtocol from \"./index\"\n",
+    "import { Effect, Fiber, Queue, Stream } from \"effect\"\nimport { SimulationProtocol } from \"./protocol\"\n\nexport interface Server {\n  readonly url: string\n}\n\ninterface Request {\n  readonly id?: string | number | null\n}\n\nexport interface SocketData {\n  readonly drive?: true\n  attachment?: Fiber.Fiber<void>\n  closed?: true\n}\n\nexport type Socket = Bun.ServerWebSocket<SocketData>\n\nexport function start<RequestType extends Request, Error, Services>(options: {\n  readonly endpoint: string\n  readonly label: string\n  readonly data: () => SocketData\n  readonly decode: (input: string) => Effect.Effect<RequestType, Error>\n  readonly handle: (socket: Socket, request: RequestType) => Effect.Effect<unknown, unknown, Services>\n  readonly close?: (socket: Socket) => Effect.Effect<void, never, Services>\n}) {\n  return Effect.gen(function* () {\n    const messages = yield* Queue.bounded<{ readonly socket: Socket; readonly input: string }>(256)\n    const closures = yield* Queue.unbounded<Socket>()\n    yield* Stream.fromQueue(messages).pipe(\n      Stream.runForEach((message) =>\n        options.decode(message.input).pipe(\n          Effect.flatMap((request) =>\n            options.handle(message.socket, request).pipe(\n              Effect.matchEffect({\n                onFailure: (error) => send(message.socket, SimulationProtocol.JsonRpc.failure(request.id, error)),\n                onSuccess: (result) => send(message.socket, SimulationProtocol.JsonRpc.success(request.id, result)),\n              }),\n            ),\n          ),\n          Effect.catch((error) => send(message.socket, SimulationProtocol.JsonRpc.failure(undefined, error))),\n        ),\n      ),\n      Effect.forkScoped,\n    )\n    yield* Stream.fromQueue(closures).pipe(\n      Stream.runForEach((socket) => options.close?.(socket) ?? Effect.void),\n      Effect.forkScoped,\n    )\n    const url = yield* Effect.try({ try: () => new URL(options.endpoint), catch: (cause) => cause })\n    yield* Effect.acquireRelease(\n      Effect.sync(() =>\n        Bun.serve<SocketData>({\n          hostname: url.hostname,\n          port: Number(url.port),\n          fetch(request, server) {\n            if (server.upgrade(request, { data: options.data() })) return undefined\n            return new Response(options.label, { status: 426 })\n          },\n          websocket: {\n            close(socket) {\n              socket.data.closed = true\n              Queue.offerUnsafe(closures, socket)\n            },\n            message(socket, message) {\n              const input = typeof message === \"string\" ? message : message.toString()\n              if (Queue.offerUnsafe(messages, { socket, input })) return\n              socket.send(\n                JSON.stringify(\n                  SimulationProtocol.JsonRpc.failure(undefined, new Error(\"Simulation control queue is full\")),\n                ),\n              )\n            },\n          },\n        }),\n      ),\n      (server) => Effect.promise(() => server.stop(true)),\n    )\n    return { url: options.endpoint } satisfies Server\n  })\n}\n\nfunction send(socket: Socket, response: SimulationProtocol.JsonRpc.Response | undefined) {\n  if (!response) return Effect.void\n  return Effect.sync(() => {\n    socket.send(JSON.stringify(response))\n  })\n}\n\nexport * as SimulationControlServer from \"./control-server\"\n"
+  ],
+  "mappings": 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+  "debugId": "49C3966E789E058664756E2164756E21",
+  "names": []
+}

bin/chunk-rt4gfy5x.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/theme/color.ts", "../tui/src/theme/resolve.ts"],
+  "sourcesContent": [
+    "import { RGBA } from \"@opentui/core\"\n\nexport function ansiToRgba(code: number): RGBA {\n  if (code < 16) {\n    const ansiColors = [\n      \"#000000\",\n      \"#800000\",\n      \"#008000\",\n      \"#808000\",\n      \"#000080\",\n      \"#800080\",\n      \"#008080\",\n      \"#c0c0c0\",\n      \"#808080\",\n      \"#ff0000\",\n      \"#00ff00\",\n      \"#ffff00\",\n      \"#0000ff\",\n      \"#ff00ff\",\n      \"#00ffff\",\n      \"#ffffff\",\n    ]\n    return RGBA.fromHex(ansiColors[code] ?? \"#000000\")\n  }\n\n  if (code < 232) {\n    const index = code - 16\n    const b = index % 6\n    const g = Math.floor(index / 6) % 6\n    const r = Math.floor(index / 36)\n    const val = (x: number) => (x === 0 ? 0 : x * 40 + 55)\n    return RGBA.fromInts(val(r), val(g), val(b))\n  }\n\n  if (code < 256) {\n    const gray = (code - 232) * 10 + 8\n    return RGBA.fromInts(gray, gray, gray)\n  }\n\n  return RGBA.fromInts(0, 0, 0)\n}\n\nexport function tint(base: RGBA, overlay: RGBA, alpha: number): RGBA {\n  const r = base.r + (overlay.r - base.r) * alpha\n  const g = base.g + (overlay.g - base.g) * alpha\n  const b = base.b + (overlay.b - base.b) * alpha\n  return RGBA.fromInts(Math.round(r * 255), Math.round(g * 255), Math.round(b * 255))\n}\n",
+    "import { RGBA } from \"@opentui/core\"\nimport { ansiToRgba } from \"./color\"\nimport type { ColorValue, Theme, ThemeColor, ThemeV1Json } from \"./v1\"\n\nexport function resolveThemeColors(\n  theme: ThemeV1Json,\n  mode: \"dark\" | \"light\",\n  resolveAnsi: (code: number) => RGBA = ansiToRgba,\n) {\n  const defs = theme.defs ?? {}\n  function resolveColor(color: ColorValue, chain: string[] = []): RGBA {\n    if (color instanceof RGBA) return color\n    if (typeof color === \"string\") {\n      if (color === \"transparent\" || color === \"none\") return RGBA.fromInts(0, 0, 0, 0)\n\n      if (color.startsWith(\"#\")) return RGBA.fromHex(color)\n\n      if (chain.includes(color)) {\n        throw new Error(`Circular color reference: ${[...chain, color].join(\" -> \")}`)\n      }\n\n      const next = defs[color] ?? theme.theme[color as ThemeColor]\n      if (next === undefined) {\n        throw new Error(`Color reference \"${color}\" not found in defs or theme`)\n      }\n      return resolveColor(next, [...chain, color])\n    }\n    if (typeof color === \"number\") return resolveAnsi(color)\n    return resolveColor(color[mode], chain)\n  }\n\n  const resolved = Object.fromEntries(\n    Object.entries(theme.theme)\n      .filter(([key]) => key !== \"selectedListItemText\" && key !== \"backgroundMenu\" && key !== \"thinkingOpacity\")\n      .map(([key, value]) => [key, resolveColor(value as ColorValue)]),\n  ) as Partial<Record<ThemeColor, RGBA>>\n\n  const hasSelectedListItemText = theme.theme.selectedListItemText !== undefined\n  return {\n    theme: {\n      ...(resolved as Record<ThemeColor, RGBA>),\n      selectedListItemText: hasSelectedListItemText\n        ? resolveColor(theme.theme.selectedListItemText!)\n        : resolved.background!,\n      backgroundMenu:\n        theme.theme.backgroundMenu === undefined\n          ? resolved.backgroundElement!\n          : resolveColor(theme.theme.backgroundMenu),\n    } satisfies Omit<Theme, \"_hasSelectedListItemText\" | \"thinkingOpacity\">,\n    hasSelectedListItemText,\n    thinkingOpacity: theme.theme.thinkingOpacity ?? 0.6,\n  }\n}\n"
+  ],
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bin/chunk-s5mh0n3v.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/plugin/list.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.list,\n  Effect.fn(\"cli.plugin.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n    const plugins = response.data.toSorted((a, b) => a.id.localeCompare(b.id))\n    if (plugins.length === 0) {\n      process.stdout.write(\"No plugins loaded\" + EOL)\n      return\n    }\n    process.stdout.write(plugins.map((plugin) => plugin.id).join(EOL) + EOL)\n  }),\n)\n"
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bin/chunk-sa2zjk33.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+mistral@3.0.51+d6123d32214422cb/node_modules/@ai-sdk/mistral/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/mistral-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/mistral-chat-language-model.ts\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  injectJsonInstructionIntoMessages,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\n\n// src/convert-mistral-usage.ts\nfunction convertMistralUsage(usage) {\n  var _a, _b, _c, _d, _e;\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const promptTokens = usage.prompt_tokens;\n  const completionTokens = usage.completion_tokens;\n  const cacheReadTokens = (_e = (_d = (_b = usage.num_cached_tokens) != null ? _b : (_a = usage.prompt_tokens_details) == null ? void 0 : _a.cached_tokens) != null ? _d : (_c = usage.prompt_token_details) == null ? void 0 : _c.cached_tokens) != null ? _e : 0;\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens - cacheReadTokens,\n      cacheRead: cacheReadTokens || void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: completionTokens,\n      reasoning: void 0\n    },\n    raw: usage\n  };\n}\n\n// src/convert-to-mistral-chat-messages.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nimport { convertToBase64 } from \"@ai-sdk/provider-utils\";\nfunction formatFileUrl({\n  data,\n  mediaType\n}) {\n  return data instanceof URL ? data.toString() : `data:${mediaType};base64,${convertToBase64(data)}`;\n}\nfunction convertToMistralChatMessages(prompt) {\n  var _a;\n  const messages = [];\n  for (let i = 0; i < prompt.length; i++) {\n    const { role, content } = prompt[i];\n    const isLastMessage = i === prompt.length - 1;\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\": {\n        messages.push({\n          role: \"user\",\n          content: content.map((part) => {\n            switch (part.type) {\n              case \"text\": {\n                return { type: \"text\", text: part.text };\n              }\n              case \"file\": {\n                if (part.mediaType.startsWith(\"image/\")) {\n                  const mediaType = part.mediaType === \"image/*\" ? \"image/jpeg\" : part.mediaType;\n                  return {\n                    type: \"image_url\",\n                    image_url: formatFileUrl({ data: part.data, mediaType })\n                  };\n                } else if (part.mediaType === \"application/pdf\") {\n                  return {\n                    type: \"document_url\",\n                    document_url: formatFileUrl({\n                      data: part.data,\n                      mediaType: \"application/pdf\"\n                    })\n                  };\n                } else {\n                  throw new UnsupportedFunctionalityError({\n                    functionality: \"Only images and PDF file parts are supported\"\n                  });\n                }\n              }\n            }\n          })\n        });\n        break;\n      }\n      case \"assistant\": {\n        let text = \"\";\n        const structuredContent = [];\n        let hasNativeReasoning = false;\n        const toolCalls = [];\n        for (const part of content) {\n          switch (part.type) {\n            case \"text\": {\n              text += part.text;\n              structuredContent.push({ type: \"text\", text: part.text });\n              break;\n            }\n            case \"tool-call\": {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: \"function\",\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input)\n                }\n              });\n              break;\n            }\n            case \"reasoning\": {\n              text += part.text;\n              const native = part.providerOptions?.mistral?.thinking;\n              if (native?.type === \"thinking\") {\n                hasNativeReasoning = true;\n                structuredContent.push(native);\n                break;\n              }\n              structuredContent.push({ type: \"text\", text: part.text });\n              break;\n            }\n            default: {\n              throw new Error(\n                `Unsupported content type in assistant message: ${part.type}`\n              );\n            }\n          }\n        }\n        messages.push({\n          role: \"assistant\",\n          content: hasNativeReasoning ? structuredContent : text,\n          prefix: isLastMessage ? true : void 0,\n          tool_calls: toolCalls.length > 0 ? toolCalls : void 0\n        });\n        break;\n      }\n      case \"tool\": {\n        for (const toolResponse of content) {\n          if (toolResponse.type === \"tool-approval-response\") {\n            continue;\n          }\n          const output = toolResponse.output;\n          let contentValue;\n          switch (output.type) {\n            case \"text\":\n            case \"error-text\":\n              contentValue = output.value;\n              break;\n            case \"execution-denied\":\n              contentValue = (_a = output.reason) != null ? _a : \"Tool call execution denied.\";\n              break;\n            case \"content\":\n            case \"json\":\n            case \"error-json\":\n              contentValue = JSON.stringify(output.value);\n              break;\n          }\n          messages.push({\n            role: \"tool\",\n            name: toolResponse.toolName,\n            tool_call_id: toolResponse.toolCallId,\n            content: contentValue\n          });\n        }\n        break;\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return messages;\n}\n\n// src/get-response-metadata.ts\nfunction getResponseMetadata({\n  id,\n  model,\n  created\n}) {\n  return {\n    id: id != null ? id : void 0,\n    modelId: model != null ? model : void 0,\n    timestamp: created != null ? new Date(created * 1e3) : void 0\n  };\n}\n\n// src/map-mistral-finish-reason.ts\nfunction mapMistralFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"stop\":\n      return \"stop\";\n    case \"length\":\n    case \"model_length\":\n      return \"length\";\n    case \"tool_calls\":\n      return \"tool-calls\";\n    default:\n      return \"other\";\n  }\n}\n\n// src/mistral-chat-options.ts\nimport { z } from \"zod/v4\";\nvar mistralLanguageModelOptions = z.object({\n  /**\n   * Whether to inject a safety prompt before all conversations.\n   *\n   * Defaults to `false`.\n   */\n  safePrompt: z.boolean().optional(),\n  documentImageLimit: z.number().optional(),\n  documentPageLimit: z.number().optional(),\n  /**\n   * Whether to use structured outputs.\n   *\n   * @default true\n   */\n  structuredOutputs: z.boolean().optional(),\n  /**\n   * Whether to use strict JSON schema validation.\n   *\n   * @default false\n   */\n  strictJsonSchema: z.boolean().optional(),\n  /**\n   * Whether to enable parallel function calling during tool use.\n   * When set to false, the model will use at most one tool per response.\n   *\n   * @default true\n   */\n  parallelToolCalls: z.boolean().optional(),\n  /**\n   * Controls the reasoning effort for models that support adjustable reasoning.\n   *\n   * - `'high'`: Enable reasoning\n   * - `'none'`: Disable reasoning\n   */\n  reasoningEffort: z.enum([\"high\", \"none\"]).optional(),\n  promptCacheKey: z.string().optional()\n});\n\n// src/mistral-error.ts\nimport { createJsonErrorResponseHandler } from \"@ai-sdk/provider-utils\";\nimport { z as z2 } from \"zod/v4\";\nvar mistralErrorDataSchema = z2.object({\n  object: z2.literal(\"error\"),\n  message: z2.string(),\n  type: z2.string(),\n  param: z2.string().nullable(),\n  code: z2.string().nullable()\n});\nvar mistralFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: mistralErrorDataSchema,\n  errorToMessage: (data) => data.message\n});\n\n// src/mistral-prepare-tools.ts\nimport {\n  UnsupportedFunctionalityError as UnsupportedFunctionalityError2\n} from \"@ai-sdk/provider\";\nfunction prepareTools({\n  tools,\n  toolChoice\n}) {\n  tools = (tools == null ? void 0 : tools.length) ? tools : void 0;\n  const toolWarnings = [];\n  if (tools == null) {\n    return { tools: void 0, toolChoice: void 0, toolWarnings };\n  }\n  const mistralTools = [];\n  for (const tool of tools) {\n    if (tool.type === \"provider\") {\n      toolWarnings.push({\n        type: \"unsupported\",\n        feature: `provider-defined tool ${tool.id}`\n      });\n    } else {\n      mistralTools.push({\n        type: \"function\",\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema,\n          ...tool.strict != null ? { strict: tool.strict } : {}\n        }\n      });\n    }\n  }\n  if (toolChoice == null) {\n    return { tools: mistralTools, toolChoice: void 0, toolWarnings };\n  }\n  const type = toolChoice.type;\n  switch (type) {\n    case \"auto\":\n    case \"none\":\n      return { tools: mistralTools, toolChoice: type, toolWarnings };\n    case \"required\":\n      return { tools: mistralTools, toolChoice: \"any\", toolWarnings };\n    // mistral does not support tool mode directly,\n    // so we filter the tools and force the tool choice through 'any'\n    case \"tool\":\n      return {\n        tools: mistralTools.filter(\n          (tool) => tool.function.name === toolChoice.toolName\n        ),\n        toolChoice: \"any\",\n        toolWarnings\n      };\n    default: {\n      const _exhaustiveCheck = type;\n      throw new UnsupportedFunctionalityError2({\n        functionality: `tool choice type: ${_exhaustiveCheck}`\n      });\n    }\n  }\n}\n\n// src/mistral-chat-language-model.ts\nvar MistralChatLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.supportedUrls = {\n      \"application/pdf\": [/^https:\\/\\/.*$/]\n    };\n    var _a;\n    this.modelId = modelId;\n    this.config = config;\n    this.generateId = (_a = config.generateId) != null ? 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{ frequency_penalty: frequencyPenalty } : {},\n      ...presencePenalty != null ? { presence_penalty: presencePenalty } : {},\n      stop: stopSequences,\n      random_seed: seed,\n      reasoning_effort: options.reasoningEffort,\n      prompt_cache_key: options.promptCacheKey,\n      // response format:\n      response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? structuredOutputs && (responseFormat == null ? void 0 : responseFormat.schema) != null ? {\n        type: \"json_schema\",\n        json_schema: {\n          schema: responseFormat.schema,\n          strict: strictJsonSchema,\n          name: (_d = responseFormat.name) != null ? _d : \"response\",\n          description: responseFormat.description\n        }\n      } : { type: \"json_object\" } : void 0,\n      // mistral-specific provider options:\n      document_image_limit: options.documentImageLimit,\n      document_page_limit: options.documentPageLimit,\n      // messages:\n      messages: convertToMistralChatMessages(prompt)\n    };\n    const {\n      tools: mistralTools,\n      toolChoice: mistralToolChoice,\n      toolWarnings\n    } = prepareTools({\n      tools,\n      toolChoice\n    });\n    return {\n      args: {\n        ...baseArgs,\n        tools: mistralTools,\n        tool_choice: mistralToolChoice,\n        ...mistralTools != null && options.parallelToolCalls !== void 0 ? { parallel_tool_calls: options.parallelToolCalls } : {}\n      },\n      warnings: [...warnings, ...toolWarnings]\n    };\n  }\n  async doGenerate(options) {\n    var _a;\n    const { args: body, warnings } = await this.getArgs(options);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        mistralChatResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const choice = response.choices[0];\n    const content = [];\n    if (choice.message.content != null && Array.isArray(choice.message.content)) {\n      for (const part of choice.message.content) {\n        if (part.type === \"thinking\") {\n          const reasoningText = extractReasoningContent(part.thinking);\n          content.push({\n            type: \"reasoning\",\n            text: reasoningText,\n            providerMetadata: { mistral: { thinking: part } }\n          });\n        } else if (part.type === \"text\") {\n          if (part.text.length > 0) {\n            content.push({ type: \"text\", text: part.text });\n          }\n        }\n      }\n    } else {\n      const text = extractTextContent(choice.message.content);\n      if (text != null && text.length > 0) {\n        content.push({ type: \"text\", text });\n      }\n    }\n    if (choice.message.tool_calls != null) {\n      for (const toolCall of choice.message.tool_calls) {\n        content.push({\n          type: \"tool-call\",\n          toolCallId: toolCall.id,\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments\n        });\n      }\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapMistralFinishReason(choice.finish_reason),\n        raw: (_a = choice.finish_reason) != null ? _a : void 0\n      },\n      usage: convertMistralUsage(response.usage),\n      request: { body },\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = await this.getArgs(options);\n    const body = { ...args, stream: true };\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        mistralChatChunkSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    let isFirstChunk = true;\n    let activeText = false;\n    let activeReasoningId = null;\n    let activeThinking = null;\n    const generateId2 = this.generateId;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            if (isFirstChunk) {\n              isFirstChunk = false;\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value)\n              });\n            }\n            if (value.usage != null) {\n              usage = value.usage;\n            }\n            const choice = value.choices[0];\n            const delta = choice.delta;\n            const textContent = extractTextContent(delta.content);\n            if (delta.content != null && Array.isArray(delta.content)) {\n              for (const part of delta.content) {\n                if (part.type === \"thinking\") {\n                  const reasoningDelta = extractReasoningContent(part.thinking);\n                  activeThinking = mergeThinking(activeThinking, part);\n                  if (activeReasoningId == null) {\n                    if (activeText) {\n                      controller.enqueue({ type: \"text-end\", id: \"0\" });\n                      activeText = false;\n                    }\n                    activeReasoningId = generateId2();\n                    controller.enqueue({\n                      type: \"reasoning-start\",\n                      id: activeReasoningId\n                    });\n                  }\n                  if (reasoningDelta.length > 0) {\n                    controller.enqueue({\n                      type: \"reasoning-delta\",\n                      id: activeReasoningId,\n                      delta: reasoningDelta\n                    });\n                  }\n                }\n              }\n            }\n            if (textContent != null && textContent.length > 0) {\n              if (!activeText) {\n                if (activeReasoningId != null) {\n                  controller.enqueue({\n                    type: \"reasoning-end\",\n                    id: activeReasoningId,\n                    providerMetadata: { mistral: { thinking: activeThinking } }\n                  });\n                  activeReasoningId = null;\n                  activeThinking = null;\n                }\n                controller.enqueue({ type: \"text-start\", id: \"0\" });\n                activeText = true;\n              }\n              controller.enqueue({\n                type: \"text-delta\",\n                id: \"0\",\n                delta: textContent\n              });\n            }\n            if ((delta == null ? void 0 : delta.tool_calls) != null) {\n              for (const toolCall of delta.tool_calls) {\n                const toolCallId = toolCall.id;\n                const toolName = toolCall.function.name;\n                const input = toolCall.function.arguments;\n                controller.enqueue({\n                  type: \"tool-input-start\",\n                  id: toolCallId,\n                  toolName\n                });\n                controller.enqueue({\n                  type: \"tool-input-delta\",\n                  id: toolCallId,\n                  delta: input\n                });\n                controller.enqueue({\n                  type: \"tool-input-end\",\n                  id: toolCallId\n                });\n                controller.enqueue({\n                  type: \"tool-call\",\n                  toolCallId,\n                  toolName,\n                  input\n                });\n              }\n            }\n            if (choice.finish_reason != null) {\n              finishReason = {\n                unified: mapMistralFinishReason(choice.finish_reason),\n                raw: choice.finish_reason\n              };\n            }\n          },\n          flush(controller) {\n            if (activeReasoningId != null) {\n              controller.enqueue({\n                type: \"reasoning-end\",\n                id: activeReasoningId,\n                providerMetadata: { mistral: { thinking: activeThinking } }\n              });\n            }\n            if (activeText) {\n              controller.enqueue({ type: \"text-end\", id: \"0\" });\n            }\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertMistralUsage(usage)\n            });\n          }\n        })\n      ),\n      request: { body },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nfunction extractReasoningContent(thinking) {\n  return thinking.filter((chunk) => chunk.type === \"text\").map((chunk) => chunk.text).join(\"\");\n}\nfunction mergeThinking(current, next) {\n  if (current === null) return { ...next, thinking: [...next.thinking] };\n  current.thinking.push(...next.thinking);\n  if (next.closed !== void 0) current.closed = next.closed;\n  if (next.signature !== void 0) current.signature = next.signature;\n  return current;\n}\nfunction extractTextContent(content) {\n  if (typeof content === \"string\") {\n    return content;\n  }\n  if (content == null) {\n    return void 0;\n  }\n  const textContent = [];\n  for (const chunk of content) {\n    const { type } = chunk;\n    switch (type) {\n      case \"text\":\n        textContent.push(chunk.text);\n        break;\n      case \"thinking\":\n      case \"image_url\":\n      case \"reference\":\n        break;\n      default: {\n        const _exhaustiveCheck = type;\n        throw new Error(`Unsupported type: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return textContent.length ? textContent.join(\"\") : void 0;\n}\nvar mistralThinkingContentSchema = z3.discriminatedUnion(\"type\", [\n  z3.object({\n    type: z3.literal(\"text\"),\n    text: z3.string()\n  }),\n  z3.object({\n    type: z3.literal(\"tool_reference\"),\n    tool: z3.string(),\n    title: z3.string(),\n    url: z3.string().nullish(),\n    favicon: z3.string().nullish(),\n    description: z3.string().nullish()\n  }),\n  z3.object({\n    type: z3.literal(\"reference\"),\n    reference_ids: z3.array(z3.union([z3.string(), z3.number().int()]))\n  })\n]);\nvar mistralThinkChunkSchema = z3.object({\n  type: z3.literal(\"thinking\"),\n  thinking: z3.array(mistralThinkingContentSchema),\n  closed: z3.boolean().optional(),\n  signature: z3.string().nullish()\n});\nvar mistralContentSchema = z3.union([\n  z3.string(),\n  z3.array(\n    z3.discriminatedUnion(\"type\", [\n      z3.object({\n        type: z3.literal(\"text\"),\n        text: z3.string()\n      }),\n      z3.object({\n        type: z3.literal(\"image_url\"),\n        image_url: z3.union([\n          z3.string(),\n          z3.object({\n            url: z3.string(),\n            detail: z3.string().nullable()\n          })\n        ])\n      }),\n      z3.object({\n        type: z3.literal(\"reference\"),\n        reference_ids: z3.array(z3.union([z3.string(), z3.number()]))\n      }),\n      mistralThinkChunkSchema\n    ])\n  )\n]).nullish();\nvar mistralUsageSchema = z3.object({\n  prompt_tokens: z3.number(),\n  completion_tokens: z3.number(),\n  total_tokens: z3.number(),\n  num_cached_tokens: z3.number().nullish(),\n  prompt_tokens_details: z3.object({ cached_tokens: z3.number().nullish() }).nullish(),\n  prompt_token_details: z3.object({ cached_tokens: z3.number().nullish() }).nullish()\n});\nvar mistralChatResponseSchema = z3.object({\n  id: z3.string().nullish(),\n  created: z3.number().nullish(),\n  model: z3.string().nullish(),\n  choices: z3.array(\n    z3.object({\n      message: z3.object({\n        role: z3.literal(\"assistant\"),\n        content: mistralContentSchema,\n        tool_calls: z3.array(\n          z3.object({\n            id: z3.string(),\n            function: z3.object({ name: z3.string(), arguments: z3.string() })\n          })\n        ).nullish()\n      }),\n      index: z3.number(),\n      finish_reason: z3.string().nullish()\n    })\n  ),\n  object: z3.literal(\"chat.completion\"),\n  usage: mistralUsageSchema\n});\nvar mistralChatChunkSchema = z3.object({\n  id: z3.string().nullish(),\n  created: z3.number().nullish(),\n  model: z3.string().nullish(),\n  choices: z3.array(\n    z3.object({\n      delta: z3.object({\n        role: z3.enum([\"assistant\"]).optional(),\n        content: mistralContentSchema,\n        tool_calls: z3.array(\n          z3.object({\n            id: z3.string(),\n            function: z3.object({ name: z3.string(), arguments: z3.string() })\n          })\n        ).nullish()\n      }),\n      finish_reason: z3.string().nullish(),\n      index: z3.number()\n    })\n  ),\n  usage: mistralUsageSchema.nullish()\n});\n\n// src/mistral-embedding-model.ts\nimport {\n  TooManyEmbeddingValuesForCallError\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders as combineHeaders2,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  postJsonToApi as postJsonToApi2\n} from \"@ai-sdk/provider-utils\";\nimport { z as z4 } from \"zod/v4\";\nvar MistralEmbeddingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.maxEmbeddingsPerCall = 32;\n    this.supportsParallelCalls = false;\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doEmbed({\n    values,\n    abortSignal,\n    headers\n  }) {\n    if (values.length > this.maxEmbeddingsPerCall) {\n      throw new TooManyEmbeddingValuesForCallError({\n        provider: this.provider,\n        modelId: this.modelId,\n        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,\n        values\n      });\n    }\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi2({\n      url: `${this.config.baseURL}/embeddings`,\n      headers: combineHeaders2(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        input: values,\n        encoding_format: \"float\"\n      },\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler2(\n        MistralTextEmbeddingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      warnings: [],\n      embeddings: response.data.map((item) => item.embedding),\n      usage: response.usage ? { tokens: response.usage.prompt_tokens } : void 0,\n      response: { headers: responseHeaders, body: rawValue }\n    };\n  }\n};\nvar MistralTextEmbeddingResponseSchema = z4.object({\n  data: z4.array(z4.object({ embedding: z4.array(z4.number()) })),\n  usage: z4.object({ prompt_tokens: z4.number() }).nullish()\n});\n\n// src/mistral-speech-model.ts\nimport {\n  combineHeaders as combineHeaders3,\n  createJsonResponseHandler as createJsonResponseHandler3,\n  parseProviderOptions as parseProviderOptions2,\n  postToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z6 } from \"zod/v4\";\n\n// src/mistral-speech-model-options.ts\nimport { z as z5 } from \"zod/v4\";\nvar mistralSpeechModelOptions = z5.object({\n  /**\n   * Base64-encoded reference audio for one-off voice cloning.\n   *\n   * When provided, this takes precedence over the standard `voice` option.\n   */\n  refAudio: z5.string().min(1).optional()\n});\n\n// src/mistral-speech-model.ts\nvar MistralSpeechModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    text,\n    voice,\n    outputFormat = \"mp3\",\n    instructions,\n    speed,\n    language,\n    providerOptions\n  }) {\n    const warnings = [];\n    const mistralOptions = await parseProviderOptions2({\n      provider: \"mistral\",\n      providerOptions,\n      schema: mistralSpeechModelOptions\n    });\n    let responseFormat = \"mp3\";\n    if ([\"pcm\", \"wav\", \"mp3\", \"flac\", \"opus\"].includes(outputFormat)) {\n      responseFormat = outputFormat;\n    } else {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"outputFormat\",\n        details: `Unsupported output format: ${outputFormat}. Using mp3 instead.`\n      });\n    }\n    if (instructions != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"instructions\",\n        details: \"Mistral speech models do not support the `instructions` option. Use a reference audio clip to guide delivery.\"\n      });\n    }\n    if (speed != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"speed\",\n        details: \"Mistral speech models do not support the `speed` option. It was ignored.\"\n      });\n    }\n    if (language != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"language\",\n        details: \"Mistral speech models do not support the `language` option. Language is inferred from the input text and voice.\"\n      });\n    }\n    const refAudio = mistralOptions == null ? void 0 : mistralOptions.refAudio;\n    const requestBody = {\n      model: this.modelId,\n      input: text,\n      voice_id: refAudio == null ? voice : void 0,\n      ref_audio: refAudio,\n      response_format: responseFormat,\n      stream: false\n    };\n    const requestBodyValues = {\n      ...requestBody,\n      ref_audio: refAudio == null ? void 0 : \"[redacted]\"\n    };\n    return { requestBody, requestBodyValues, warnings };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e;\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    const { requestBody, requestBodyValues, warnings } = await this.getArgs(options);\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse\n    } = await postToApi({\n      url: `${this.config.baseURL}/audio/speech`,\n      headers: combineHeaders3(\n        { \"Content-Type\": \"application/json\" },\n        (_e = (_d = this.config).headers) == null ? void 0 : _e.call(_d),\n        options.headers\n      ),\n      body: {\n        content: JSON.stringify(requestBody),\n        values: requestBodyValues\n      },\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler3(\n        mistralSpeechResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      audio: response.audio_data,\n      warnings,\n      request: {\n        body: JSON.stringify(requestBodyValues)\n      },\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n        body: rawResponse\n      }\n    };\n  }\n};\nvar mistralSpeechResponseSchema = z6.object({\n  audio_data: z6.string()\n});\n\n// src/version.ts\nvar VERSION = true ? \"3.0.51\" : \"0.0.0-test\";\n\n// src/mistral-provider.ts\nfunction createMistral(options = {}) {\n  var _a;\n  const baseURL = (_a = withoutTrailingSlash(options.baseURL)) != null ? _a : \"https://api.mistral.ai/v1\";\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"MISTRAL_API_KEY\",\n        description: \"Mistral\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/mistral/${VERSION}`\n  );\n  const createChatModel = (modelId) => new MistralChatLanguageModel(modelId, {\n    provider: \"mistral.chat\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch,\n    generateId: options.generateId\n  });\n  const createEmbeddingModel = (modelId) => new MistralEmbeddingModel(modelId, {\n    provider: \"mistral.embedding\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createSpeechModel = (modelId) => new MistralSpeechModel(modelId, {\n    provider: \"mistral.speech\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const provider = function(modelId) {\n    if (new.target) {\n      throw new Error(\n        \"The Mistral model function cannot be called with the new keyword.\"\n      );\n    }\n    return createChatModel(modelId);\n  };\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createChatModel;\n  provider.chat = createChatModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.speech = createSpeechModel;\n  provider.speechModel = createSpeechModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar mistral = createMistral();\nexport {\n  VERSION,\n  createMistral,\n  mistral\n};\n//# sourceMappingURL=index.mjs.map"
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+  "debugId": "D0DE54CABB2A489564756E2164756E21",
+  "names": []
+}

bin/chunk-stdv7t1y.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/azure.ts"],
+  "sourcesContent": [
+    "import { Auth } from \"../route/auth\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\n\nexport const id = ProviderID.make(\"azure\")\nconst routeAuth = Auth.remove(\"authorization\")\n\n// Azure needs the customer's resource URL; supply either `resourceName`\n// (helper builds the URL) or `baseURL` directly.\ntype AzureURL = AtLeastOne<{ readonly resourceName: string; readonly baseURL: string }>\n\nexport type LanguageModelOptions = AzureURL &\n  RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly apiVersion?: string\n    readonly queryParams?: Record<string, string>\n    readonly useCompletionUrls?: boolean\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\nexport type Config = LanguageModelOptions\n\nexport type Settings = ProviderPackage.Settings &\n  AzureURL & {\n    readonly apiKey?: string\n    readonly apiVersion?: string\n    readonly queryParams?: Readonly<Record<string, string>>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai/v1`\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"azure-openai-responses\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"azure-openai-chat\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n  const {\n    apiKey: _,\n    apiVersion: _apiVersion,\n    resourceName: _resourceName,\n    useCompletionUrls: _useCompletionUrls,\n    baseURL: _baseURL,\n    queryParams: _queryParams,\n    ...rest\n  } = input\n  if (\"auth\" in rest) {\n    const { auth: _, ...withoutAuth } = rest\n    return withoutAuth\n  }\n  return rest\n}\n\nconst auth = (input: Config) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.remove(\"authorization\").andThen(\n    Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n      .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n      .pipe(Auth.header(\"api-key\")),\n  )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: {\n      // AtLeastOne guarantees at least one is set; baseURL wins if both are.\n      baseURL: input.baseURL ?? resourceBaseURL(input.resourceName!),\n      query: {\n        ...(input.apiVersion ? { \"api-version\": input.apiVersion } : {}),\n        ...input.queryParams,\n      },\n    },\n  })\n\nexport const configure = (input: Config) => {\n  const configuredResponsesRoute = configuredRoute(responsesRoute, input)\n  const configuredChatRoute = configuredRoute(chatRoute, input)\n  const modelDefaults = defaults(input)\n\n  const responses = (modelID: string | ModelID) =>\n    configuredResponsesRoute\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  const chat = (modelID: string | ModelID) =>\n    configuredChatRoute\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  return {\n    id,\n    model: (modelID: string | ModelID) => (input.useCompletionUrls === true ? chat(modelID) : responses(modelID)),\n    responses,\n    chat,\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nconst config = (settings: Settings): Config => {\n  const common = {\n    apiKey: settings.apiKey,\n    apiVersion: settings.apiVersion,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n  if (settings.baseURL !== undefined) return { ...common, baseURL: settings.baseURL }\n  if (settings.resourceName !== undefined) return { ...common, resourceName: settings.resourceName }\n  throw new Error(\"Azure requires resourceName or baseURL\")\n}\n\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).responses(modelID)\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).chat(modelID)\nexport const model = responsesModel\n"
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+}

bin/chunk-stwr0bjw.js.map

+{
+  "version": 3,
+  "sources": ["../tui/src/util/session.ts"],
+  "sourcesContent": [
+    "import type { ModelInfo, SessionMessageAssistant, SessionMessageInfo } from \"@opencode-ai/client\"\nimport { Locale } from \"./locale\"\n\nexport function lastAssistantWithUsage(messages: ReadonlyArray<SessionMessageInfo>, boundary?: string) {\n  const boundaryIndex = boundary ? messages.findIndex((message) => message.id === boundary) : -1\n  if (boundary && boundaryIndex === -1) return undefined\n  const end = boundaryIndex === -1 ? messages.length : boundaryIndex\n  const compactionIndex = messages.findLastIndex(\n    (message, index) => message.type === \"compaction\" && message.status === \"completed\" && index < end,\n  )\n  return messages.findLast(\n    (message, index): message is SessionMessageAssistant & { tokens: NonNullable<SessionMessageAssistant[\"tokens\"]> } =>\n      message.type === \"assistant\" && message.tokens !== undefined && index > compactionIndex && index < end,\n  )\n}\n\nexport function contextUsage(\n  messages: ReadonlyArray<SessionMessageInfo>,\n  models: ReadonlyArray<ModelInfo> | undefined,\n  boundary?: string,\n) {\n  const last = lastAssistantWithUsage(messages, boundary)\n  if (!last) return\n  const tokens =\n    last.tokens.input + last.tokens.output + last.tokens.reasoning + last.tokens.cache.read + last.tokens.cache.write\n  if (tokens <= 0) return\n  const model = models?.find((model) => model.providerID === last.model.providerID && model.id === last.model.id)\n  return {\n    tokens,\n    percent: model?.limit.context ? Math.round((tokens / model.limit.context) * 100) : undefined,\n  }\n}\n\nexport function formatContextUsage(tokens: number, percent?: number) {\n  const value = Locale.number(tokens)\n  return percent === undefined ? value : `${value} (${percent}%)`\n}\n"
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+}

bin/chunk-szpykn0r.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/tool-stream.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { AIError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from \"../../schema\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared\"\n\ntype StreamKey = string | number\n\n/**\n * One pending streamed tool call. Providers emit the tool identity and JSON\n * argument text across separate chunks; `input` is the raw JSON string collected\n * so far, not the parsed object.\n */\nexport interface PendingTool extends ToolAccumulator {\n  readonly providerExecuted?: boolean\n  readonly providerMetadata?: ProviderMetadata\n}\n\n/**\n * Sparse parser state keyed by the provider's stream-local tool identifier.\n *\n * This key is not the final tool-call id (`call_...`). It is the id/index the\n * provider uses while streaming a partial call: OpenAI Chat / Anthropic /\n * Bedrock use numeric content indexes, while OpenAI Responses uses string\n * `item_id`s. The generic keeps each protocol internally consistent.\n */\nexport type State<K extends StreamKey> = Partial<Record<K, PendingTool>>\n\n/**\n * Result of adding argument text to one pending tool call. It returns both the\n * next `tools` state and the updated `tool` because parsers often need the\n * current id/name immediately. `events` contains lifecycle and delta events\n * produced by the append; metadata-only deltas update identity without output.\n */\nexport interface AppendOutcome<K extends StreamKey> {\n  readonly tools: State<K>\n  readonly tool: PendingTool\n  readonly events: ReadonlyArray<LLMEvent>\n}\n\n/** Create empty accumulator state for one provider stream. */\nexport const empty = <K extends StreamKey>(): State<K> => ({})\n\nconst withTool = <K extends StreamKey>(tools: State<K>, key: K, tool: PendingTool): State<K> => {\n  return { ...tools, [key]: tool }\n}\n\nconst withoutTool = <K extends StreamKey>(tools: State<K>, key: K): State<K> => {\n  const next = { ...tools }\n  delete next[key]\n  return next\n}\n\nconst inputStart = (tool: PendingTool) =>\n  LLMEvent.toolInputStart({\n    id: tool.id,\n    name: tool.name,\n    providerExecuted: tool.providerExecuted ? true : undefined,\n    providerMetadata: tool.providerMetadata,\n  })\n\nconst inputDelta = (tool: PendingTool, text: string) =>\n  LLMEvent.toolInputDelta({\n    id: tool.id,\n    name: tool.name,\n    text,\n  })\n\nconst toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {\n  const raw = inputOverride ?? tool.input\n  return parseToolInput(route, tool.name, raw).pipe(\n    Effect.map((input): ToolCall | ToolInputError =>\n      LLMEvent.toolCall({\n        id: tool.id,\n        name: tool.name,\n        input,\n        providerExecuted: tool.providerExecuted ? true : undefined,\n        providerMetadata: tool.providerMetadata,\n      }),\n    ),\n    Effect.catch((error) =>\n      tool.providerExecuted\n        ? Effect.fail(error)\n        : Effect.succeed(\n            LLMEvent.toolInputError({\n              id: tool.id,\n              name: tool.name,\n              raw,\n            }),\n          ),\n    ),\n  )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>\n  event.type === \"tool-input-error\"\n    ? [event]\n    : [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n  tools: State<K>,\n  key: K,\n  tool: PendingTool,\n  text: string,\n): AppendOutcome<K> => {\n  const events: LLMEvent[] = []\n  if (!tools[key]) events.push(inputStart(tool))\n  if (text.length > 0) events.push(inputDelta(tool, text))\n  return {\n    tools: withTool(tools, key, tool),\n    tool,\n    events,\n  }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | AIError): result is AIError =>\n  result instanceof AIError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n  tools: State<K>,\n  key: K,\n  tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n  route: string,\n  tools: State<K>,\n  key: K,\n  delta: { readonly id?: string; readonly name?: string; readonly text: string },\n  missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n  const current = tools[key]\n  const id = current?.id ?? delta.id\n  const name = current?.name ?? delta.name\n  if (!id || !name) return eventError(route, missingToolMessage)\n\n  const tool = {\n    id,\n    name,\n    input: `${current?.input ?? \"\"}${delta.text}`,\n    providerExecuted: current?.providerExecuted,\n    providerMetadata: current?.providerMetadata,\n  }\n  if (current && delta.text.length === 0 && current.id === id && current.name === name)\n    return { tools, tool: current, events: [] }\n  return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n  route: string,\n  tools: State<K>,\n  key: K,\n  text: string,\n  missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n  const current = tools[key]\n  if (!current) return eventError(route, missingToolMessage)\n  if (text.length === 0) return { tools, tool: current, events: [] }\n  return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and return either a call or a non-executable local input error.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n  Effect.gen(function* () {\n    const tool = tools[key]\n    if (!tool) return { tools }\n    return {\n      tools: withoutTool(tools, key),\n      events: finishEvents(tool, yield* toolCall(route, tool)),\n    }\n  })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n  Effect.gen(function* () {\n    const tool = tools[key]\n    if (!tool) return { tools }\n    return {\n      tools: withoutTool(tools, key),\n      events: finishEvents(tool, yield* toolCall(route, tool, input)),\n    }\n  })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n  Effect.gen(function* () {\n    const pending = Object.values<PendingTool | undefined>(tools).filter(\n      (tool): tool is PendingTool => tool !== undefined,\n    )\n    return {\n      tools: empty<K>(),\n      events: yield* Effect.forEach(pending, (tool) =>\n        toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n      ).pipe(Effect.map((events) => events.flat())),\n    }\n  })\n\nexport * as ToolStream from \"./tool-stream\"\n"
+  ],
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+  "debugId": "5861EB251F828D6364756E2164756E21",
+  "names": []
+}

bin/chunk-t1cagjpf.js.map

+{
+  "version": 3,
+  "sources": ["../schema/src/tool.ts", "../schema/src/llm.ts"],
+  "sourcesContent": [
+    "export * as Tool from \"./tool.js\"\n\nimport { Effect, JsonSchema, Schema } from \"effect\"\nimport type { StandardJSONSchemaV1, StandardSchemaV1 } from \"@standard-schema/spec\"\nimport type { Agent } from \"./agent.js\"\nimport type { Session } from \"./session.js\"\nimport type { SessionMessage } from \"./session-message.js\"\n\nexport type Metadata = Readonly<Record<string, any>>\n\nexport const CallID = Schema.String.pipe(Schema.brand(\"Tool.CallID\"))\nexport type CallID = typeof CallID.Type\n\nexport interface Context {\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: CallID\n  readonly progress: (update: Metadata) => Effect.Effect<void>\n}\n\ninterface BaseOptions {\n  readonly namespace?: string\n  readonly permission?: string\n}\n\nexport type Options = BaseOptions &\n  (\n    | {\n        readonly codemode?: true\n        readonly pinned?: boolean\n      }\n    | {\n        readonly codemode: boolean\n        readonly pinned?: never\n      }\n  )\n\nexport type ValueSchema<A = unknown> =\n  | Schema.Codec<A, any>\n  | (StandardSchemaV1<any, A> & StandardJSONSchemaV1<any, A>)\n  | JsonSchema.JsonSchema\n\ntype InputValue<S> = 0 extends 1 & S\n  ? any\n  : S extends Schema.Codec<infer A, any>\n    ? A\n    : S extends StandardSchemaV1<any, infer A>\n      ? A\n      : unknown\ntype OutputValue<S> = S extends undefined\n  ? never\n  : S extends Schema.Codec<infer A, any>\n    ? A\n    : S extends StandardSchemaV1<infer A, any>\n      ? A\n      : any\n\nexport class Error extends Schema.TaggedErrorClass<Error>()(\"Tool.Error\", {\n  message: Schema.String,\n  error: Schema.optional(Schema.Defect()),\n  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport interface TextContent extends Schema.Schema.Type<typeof TextContent> {}\nexport const TextContent = Schema.Struct({\n  type: Schema.Literal(\"text\"),\n  text: Schema.String,\n}).annotate({ identifier: \"Tool.TextContent\" })\n\nexport interface FileContent extends Schema.Schema.Type<typeof FileContent> {}\nexport const FileContent = Schema.Struct({\n  type: Schema.Literal(\"file\"),\n  uri: Schema.String,\n  mime: Schema.String,\n  name: Schema.optional(Schema.String),\n}).annotate({ identifier: \"Tool.FileContent\" })\n\nexport const Content = Schema.Union([TextContent, FileContent])\n  .pipe(Schema.toTaggedUnion(\"type\"))\n  .annotate({ identifier: \"Tool.Content\" })\nexport type Content = Schema.Schema.Type<typeof Content>\n\nexport interface Result<Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined> {\n  readonly output?: OutputValue<Output>\n  readonly content?: string | ReadonlyArray<Content>\n  readonly metadata?: Metadata\n}\n\nexport type Info<\n  Input extends ValueSchema<any> = ValueSchema<any>,\n  Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined,\n> = {\n  readonly name: string\n  readonly input: Input\n  readonly description: string\n  readonly execute: (input: InputValue<Input>, context: Context) => Effect.Effect<Result<Output>, Error>\n  readonly output?: Output\n  readonly options?: Options\n}\n",
+    "export * as LLM from \"./llm.js\"\n\nimport { Schema } from \"effect\"\n\nexport const FinishReason = Schema.Literals([\"stop\", \"length\", \"tool-calls\", \"content-filter\", \"error\", \"unknown\"])\nexport type FinishReason = typeof FinishReason.Type\n"
+  ],
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+  "debugId": "90C917DDE9A15E3064756E2164756E21",
+  "names": []
+}

bin/chunk-tcxk6j74.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/uqr@0.1.3/node_modules/uqr/dist/index.mjs"],
+  "sourcesContent": [
+    "var QrCodeDataType = /* @__PURE__ */ ((QrCodeDataType2) => {\n  QrCodeDataType2[QrCodeDataType2[\"Border\"] = -1] = \"Border\";\n  QrCodeDataType2[QrCodeDataType2[\"Data\"] = 0] = \"Data\";\n  QrCodeDataType2[QrCodeDataType2[\"Function\"] = 1] = \"Function\";\n  QrCodeDataType2[QrCodeDataType2[\"Position\"] = 2] = \"Position\";\n  QrCodeDataType2[QrCodeDataType2[\"Timing\"] = 3] = \"Timing\";\n  QrCodeDataType2[QrCodeDataType2[\"Alignment\"] = 4] = \"Alignment\";\n  return QrCodeDataType2;\n})(QrCodeDataType || {});\n\nconst LOW = [0, 1];\nconst MEDIUM = [1, 0];\nconst QUARTILE = [2, 3];\nconst HIGH = [3, 2];\nconst EccMap = {\n  L: LOW,\n  M: MEDIUM,\n  Q: QUARTILE,\n  H: HIGH\n};\nconst NUMERIC_REGEX = /^\\d*$/;\nconst ALPHANUMERIC_REGEX = /^[A-Z0-9 $%*+./:-]*$/;\nconst ALPHANUMERIC_CHARSET = \"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ $%*+-./:\";\nconst MIN_VERSION = 1;\nconst MAX_VERSION = 40;\nconst PENALTY_N1 = 3;\nconst PENALTY_N2 = 3;\nconst PENALTY_N3 = 40;\nconst PENALTY_N4 = 10;\nconst ECC_CODEWORDS_PER_BLOCK = [\n  // Version: (note that index 0 is for padding, and is set to an illegal value)\n  // 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40    Error correction level\n  [-1, 7, 10, 15, 20, 26, 18, 20, 24, 30, 18, 20, 24, 26, 30, 22, 24, 28, 30, 28, 28, 28, 28, 30, 30, 26, 28, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30],\n  // Low\n  [-1, 10, 16, 26, 18, 24, 16, 18, 22, 22, 26, 30, 22, 22, 24, 24, 28, 28, 26, 26, 26, 26, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28],\n  // Medium\n  [-1, 13, 22, 18, 26, 18, 24, 18, 22, 20, 24, 28, 26, 24, 20, 30, 24, 28, 28, 26, 30, 28, 30, 30, 30, 30, 28, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30],\n  // Quartile\n  [-1, 17, 28, 22, 16, 22, 28, 26, 26, 24, 28, 24, 28, 22, 24, 24, 30, 28, 28, 26, 28, 30, 24, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30]\n  // High\n];\nconst NUM_ERROR_CORRECTION_BLOCKS = [\n  // Version: (note that index 0 is for padding, and is set to an illegal value)\n  // 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40    Error correction level\n  [-1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 7, 8, 8, 9, 9, 10, 12, 12, 12, 13, 14, 15, 16, 17, 18, 19, 19, 20, 21, 22, 24, 25],\n  // Low\n  [-1, 1, 1, 1, 2, 2, 4, 4, 4, 5, 5, 5, 8, 9, 9, 10, 10, 11, 13, 14, 16, 17, 17, 18, 20, 21, 23, 25, 26, 28, 29, 31, 33, 35, 37, 38, 40, 43, 45, 47, 49],\n  // Medium\n  [-1, 1, 1, 2, 2, 4, 4, 6, 6, 8, 8, 8, 10, 12, 16, 12, 17, 16, 18, 21, 20, 23, 23, 25, 27, 29, 34, 34, 35, 38, 40, 43, 45, 48, 51, 53, 56, 59, 62, 65, 68],\n  // Quartile\n  [-1, 1, 1, 2, 4, 4, 4, 5, 6, 8, 8, 11, 11, 16, 16, 18, 16, 19, 21, 25, 25, 25, 34, 30, 32, 35, 37, 40, 42, 45, 48, 51, 54, 57, 60, 63, 66, 70, 74, 77, 81]\n  // High\n];\nclass QrCode {\n  /* -- Constructor (low level) and fields -- */\n  // Creates a new QR Code with the given version number,\n  // error correction level, data codeword bytes, and mask number.\n  // This is a low-level API that most users should not use directly.\n  // A mid-level API is the encodeSegments() function.\n  constructor(version, ecc, dataCodewords, msk) {\n    this.version = version;\n    this.ecc = ecc;\n    if (version < MIN_VERSION || version > MAX_VERSION)\n      throw new RangeError(\"Version value out of range\");\n    if (msk < -1 || msk > 7)\n      throw new RangeError(\"Mask value out of range\");\n    this.size = version * 4 + 17;\n    const row = Array.from({ length: this.size }).fill(false);\n    for (let i = 0; i < this.size; i++) {\n      this.modules.push(row.slice());\n      this.types.push(row.map(() => 0));\n    }\n    this.drawFunctionPatterns();\n    const allCodewords = this.addEccAndInterleave(dataCodewords);\n    this.drawCodewords(allCodewords);\n    if (msk === -1) {\n      let minPenalty = 1e9;\n      for (let i = 0; i < 8; i++) {\n        this.applyMask(i);\n        this.drawFormatBits(i);\n        const penalty = this.getPenaltyScore();\n        if (penalty < minPenalty) {\n          msk = i;\n          minPenalty = penalty;\n        }\n        this.applyMask(i);\n      }\n    }\n    this.mask = msk;\n    this.applyMask(msk);\n    this.drawFormatBits(msk);\n  }\n  /* -- Fields -- */\n  // The width and height of this QR Code, measured in modules, between\n  // 21 and 177 (inclusive). This is equal to version * 4 + 17.\n  size;\n  // The index of the mask pattern used in this QR Code, which is between 0 and 7 (inclusive).\n  // Even if a QR Code is created with automatic masking requested (mask = -1),\n  // the resulting object still has a mask value between 0 and 7.\n  mask;\n  // The modules of this QR Code (false = light, true = dark).\n  // Immutable after constructor finishes. Accessed through getModule().\n  modules = [];\n  types = [];\n  /* -- Accessor methods -- */\n  // Returns the color of the module (pixel) at the given coordinates, which is false\n  // for light or true for dark. The top left corner has the coordinates (x=0, y=0).\n  // If the given coordinates are out of bounds, then false (light) is returned.\n  getModule(x, y) {\n    return x >= 0 && x < this.size && y >= 0 && y < this.size && this.modules[y][x];\n  }\n  /* -- Private helper methods for constructor: Drawing function modules -- */\n  // Reads this object's version field, and draws and marks all function modules.\n  drawFunctionPatterns() {\n    for (let i = 0; i < this.size; i++) {\n      this.setFunctionModule(6, i, i % 2 === 0, QrCodeDataType.Timing);\n      this.setFunctionModule(i, 6, i % 2 === 0, QrCodeDataType.Timing);\n    }\n    this.drawFinderPattern(3, 3);\n    this.drawFinderPattern(this.size - 4, 3);\n    this.drawFinderPattern(3, this.size - 4);\n    const alignPatPos = this.getAlignmentPatternPositions();\n    const numAlign = alignPatPos.length;\n    for (let i = 0; i < numAlign; i++) {\n      for (let j = 0; j < numAlign; j++) {\n        if (!(i === 0 && j === 0 || i === 0 && j === numAlign - 1 || i === numAlign - 1 && j === 0))\n          this.drawAlignmentPattern(alignPatPos[i], alignPatPos[j]);\n      }\n    }\n    this.drawFormatBits(0);\n    this.drawVersion();\n  }\n  // Draws two copies of the format bits (with its own error correction code)\n  // based on the given mask and this object's error correction level field.\n  drawFormatBits(mask) {\n    const data = this.ecc[1] << 3 | mask;\n    let rem = data;\n    for (let i = 0; i < 10; i++)\n      rem = rem << 1 ^ (rem >>> 9) * 1335;\n    const bits = (data << 10 | rem) ^ 21522;\n    for (let i = 0; i <= 5; i++)\n      this.setFunctionModule(8, i, getBit(bits, i));\n    this.setFunctionModule(8, 7, getBit(bits, 6));\n    this.setFunctionModule(8, 8, getBit(bits, 7));\n    this.setFunctionModule(7, 8, getBit(bits, 8));\n    for (let i = 9; i < 15; i++)\n      this.setFunctionModule(14 - i, 8, getBit(bits, i));\n    for (let i = 0; i < 8; i++)\n      this.setFunctionModule(this.size - 1 - i, 8, getBit(bits, i));\n    for (let i = 8; i < 15; i++)\n      this.setFunctionModule(8, this.size - 15 + i, getBit(bits, i));\n    this.setFunctionModule(8, this.size - 8, true);\n  }\n  // Draws two copies of the version bits (with its own error correction code),\n  // based on this object's version field, iff 7 <= version <= 40.\n  drawVersion() {\n    if (this.version < 7)\n      return;\n    let rem = this.version;\n    for (let i = 0; i < 12; i++)\n      rem = rem << 1 ^ (rem >>> 11) * 7973;\n    const bits = this.version << 12 | rem;\n    for (let i = 0; i < 18; i++) {\n      const color = getBit(bits, i);\n      const a = this.size - 11 + i % 3;\n      const b = Math.floor(i / 3);\n      this.setFunctionModule(a, b, color);\n      this.setFunctionModule(b, a, color);\n    }\n  }\n  // Draws a 9*9 finder pattern including the border separator,\n  // with the center module at (x, y). Modules can be out of bounds.\n  drawFinderPattern(x, y) {\n    for (let dy = -4; dy <= 4; dy++) {\n      for (let dx = -4; dx <= 4; dx++) {\n        const dist = Math.max(Math.abs(dx), Math.abs(dy));\n        const xx = x + dx;\n        const yy = y + dy;\n        if (xx >= 0 && xx < this.size && yy >= 0 && yy < this.size)\n          this.setFunctionModule(xx, yy, dist !== 2 && dist !== 4, QrCodeDataType.Position);\n      }\n    }\n  }\n  // Draws a 5*5 alignment pattern, with the center module\n  // at (x, y). All modules must be in bounds.\n  drawAlignmentPattern(x, y) {\n    for (let dy = -2; dy <= 2; dy++) {\n      for (let dx = -2; dx <= 2; dx++) {\n        this.setFunctionModule(\n          x + dx,\n          y + dy,\n          Math.max(Math.abs(dx), Math.abs(dy)) !== 1,\n          QrCodeDataType.Alignment\n        );\n      }\n    }\n  }\n  // Sets the color of a module and marks it as a function module.\n  // Only used by the constructor. Coordinates must be in bounds.\n  setFunctionModule(x, y, isDark, type = QrCodeDataType.Function) {\n    this.modules[y][x] = isDark;\n    this.types[y][x] = type;\n  }\n  /* -- Private helper methods for constructor: Codewords and masking -- */\n  // Returns a new byte string representing the given data with the appropriate error correction\n  // codewords appended to it, based on this object's version and error correction level.\n  addEccAndInterleave(data) {\n    const ver = this.version;\n    const ecl = this.ecc;\n    if (data.length !== getNumDataCodewords(ver, ecl))\n      throw new RangeError(\"Invalid argument\");\n    const numBlocks = NUM_ERROR_CORRECTION_BLOCKS[ecl[0]][ver];\n    const blockEccLen = ECC_CODEWORDS_PER_BLOCK[ecl[0]][ver];\n    const rawCodewords = Math.floor(getNumRawDataModules(ver) / 8);\n    const numShortBlocks = numBlocks - rawCodewords % numBlocks;\n    const shortBlockLen = Math.floor(rawCodewords / numBlocks);\n    const blocks = [];\n    const rsDiv = reedSolomonComputeDivisor(blockEccLen);\n    for (let i = 0, k = 0; i < numBlocks; i++) {\n      const dat = data.slice(k, k + shortBlockLen - blockEccLen + (i < numShortBlocks ? 0 : 1));\n      k += dat.length;\n      const ecc = reedSolomonComputeRemainder(dat, rsDiv);\n      if (i < numShortBlocks)\n        dat.push(0);\n      blocks.push(dat.concat(ecc));\n    }\n    const result = [];\n    for (let i = 0; i < blocks[0].length; i++) {\n      blocks.forEach((block, j) => {\n        if (i !== shortBlockLen - blockEccLen || j >= numShortBlocks)\n          result.push(block[i]);\n      });\n    }\n    return result;\n  }\n  // Draws the given sequence of 8-bit codewords (data and error correction) onto the entire\n  // data area of this QR Code. Function modules need to be marked off before this is called.\n  drawCodewords(data) {\n    if (data.length !== Math.floor(getNumRawDataModules(this.version) / 8))\n      throw new RangeError(\"Invalid argument\");\n    let i = 0;\n    for (let right = this.size - 1; right >= 1; right -= 2) {\n      if (right === 6)\n        right = 5;\n      for (let vert = 0; vert < this.size; vert++) {\n        for (let j = 0; j < 2; j++) {\n          const x = right - j;\n          const upward = (right + 1 & 2) === 0;\n          const y = upward ? this.size - 1 - vert : vert;\n          if (!this.types[y][x] && i < data.length * 8) {\n            this.modules[y][x] = getBit(data[i >>> 3], 7 - (i & 7));\n            i++;\n          }\n        }\n      }\n    }\n  }\n  // XORs the codeword modules in this QR Code with the given mask pattern.\n  // The function modules must be marked and the codeword bits must be drawn\n  // before masking. Due to the arithmetic of XOR, calling applyMask() with\n  // the same mask value a second time will undo the mask. A final well-formed\n  // QR Code needs exactly one (not zero, two, etc.) mask applied.\n  applyMask(mask) {\n    if (mask < 0 || mask > 7)\n      throw new RangeError(\"Mask value out of range\");\n    for (let y = 0; y < this.size; y++) {\n      for (let x = 0; x < this.size; x++) {\n        let invert;\n        switch (mask) {\n          case 0:\n            invert = (x + y) % 2 === 0;\n            break;\n          case 1:\n            invert = y % 2 === 0;\n            break;\n          case 2:\n            invert = x % 3 === 0;\n            break;\n          case 3:\n            invert = (x + y) % 3 === 0;\n            break;\n          case 4:\n            invert = (Math.floor(x / 3) + Math.floor(y / 2)) % 2 === 0;\n            break;\n          case 5:\n            invert = x * y % 2 + x * y % 3 === 0;\n            break;\n          case 6:\n            invert = (x * y % 2 + x * y % 3) % 2 === 0;\n            break;\n          case 7:\n            invert = ((x + y) % 2 + x * y % 3) % 2 === 0;\n            break;\n          default:\n            throw new Error(\"Unreachable\");\n        }\n        if (!this.types[y][x] && invert)\n          this.modules[y][x] = !this.modules[y][x];\n      }\n    }\n  }\n  // Calculates and returns the penalty score based on state of this QR Code's current modules.\n  // This is used by the automatic mask choice algorithm to find the mask pattern that yields the lowest score.\n  getPenaltyScore() {\n    let result = 0;\n    for (let y = 0; y < this.size; y++) {\n      let runColor = false;\n      let runX = 0;\n      const runHistory = [0, 0, 0, 0, 0, 0, 0];\n      for (let x = 0; x < this.size; x++) {\n        if (this.modules[y][x] === runColor) {\n          runX++;\n          if (runX === 5)\n            result += PENALTY_N1;\n          else if (runX > 5)\n            result++;\n        } else {\n          this.finderPenaltyAddHistory(runX, runHistory);\n          if (!runColor)\n            result += this.finderPenaltyCountPatterns(runHistory) * PENALTY_N3;\n          runColor = this.modules[y][x];\n          runX = 1;\n        }\n      }\n      result += this.finderPenaltyTerminateAndCount(runColor, runX, runHistory) * PENALTY_N3;\n    }\n    for (let x = 0; x < this.size; x++) {\n      let runColor = false;\n      let runY = 0;\n      const runHistory = [0, 0, 0, 0, 0, 0, 0];\n      for (let y = 0; y < this.size; y++) {\n        if (this.modules[y][x] === runColor) {\n          runY++;\n          if (runY === 5)\n            result += PENALTY_N1;\n          else if (runY > 5)\n            result++;\n        } else {\n          this.finderPenaltyAddHistory(runY, runHistory);\n          if (!runColor)\n            result += this.finderPenaltyCountPatterns(runHistory) * PENALTY_N3;\n          runColor = this.modules[y][x];\n          runY = 1;\n        }\n      }\n      result += this.finderPenaltyTerminateAndCount(runColor, runY, runHistory) * PENALTY_N3;\n    }\n    for (let y = 0; y < this.size - 1; y++) {\n      for (let x = 0; x < this.size - 1; x++) {\n        const color = this.modules[y][x];\n        if (color === this.modules[y][x + 1] && color === this.modules[y + 1][x] && color === this.modules[y + 1][x + 1]) {\n          result += PENALTY_N2;\n        }\n      }\n    }\n    let dark = 0;\n    for (const row of this.modules)\n      dark = row.reduce((sum, color) => sum + (color ? 1 : 0), dark);\n    const total = this.size * this.size;\n    const k = Math.ceil(Math.abs(dark * 20 - total * 10) / total) - 1;\n    result += k * PENALTY_N4;\n    return result;\n  }\n  /* -- Private helper functions -- */\n  // Returns an ascending list of positions of alignment patterns for this version number.\n  // Each position is in the range [0,177), and are used on both the x and y axes.\n  // This could be implemented as lookup table of 40 variable-length lists of integers.\n  getAlignmentPatternPositions() {\n    if (this.version === 1) {\n      return [];\n    } else {\n      const numAlign = Math.floor(this.version / 7) + 2;\n      const step = this.version === 32 ? 26 : Math.ceil((this.version * 4 + 4) / (numAlign * 2 - 2)) * 2;\n      const result = [6];\n      for (let pos = this.size - 7; result.length < numAlign; pos -= step)\n        result.splice(1, 0, pos);\n      return result;\n    }\n  }\n  // Can only be called immediately after a light run is added, and\n  // returns either 0, 1, or 2. A helper function for getPenaltyScore().\n  finderPenaltyCountPatterns(runHistory) {\n    const n = runHistory[1];\n    const core = n > 0 && runHistory[2] === n && runHistory[3] === n * 3 && runHistory[4] === n && runHistory[5] === n;\n    return (core && runHistory[0] >= n * 4 && runHistory[6] >= n ? 1 : 0) + (core && runHistory[6] >= n * 4 && runHistory[0] >= n ? 1 : 0);\n  }\n  // Must be called at the end of a line (row or column) of modules. A helper function for getPenaltyScore().\n  finderPenaltyTerminateAndCount(currentRunColor, currentRunLength, runHistory) {\n    if (currentRunColor) {\n      this.finderPenaltyAddHistory(currentRunLength, runHistory);\n      currentRunLength = 0;\n    }\n    currentRunLength += this.size;\n    this.finderPenaltyAddHistory(currentRunLength, runHistory);\n    return this.finderPenaltyCountPatterns(runHistory);\n  }\n  // Pushes the given value to the front and drops the last value. A helper function for getPenaltyScore().\n  finderPenaltyAddHistory(currentRunLength, runHistory) {\n    if (runHistory[0] === 0)\n      currentRunLength += this.size;\n    runHistory.pop();\n    runHistory.unshift(currentRunLength);\n  }\n}\nfunction appendBits(val, len, bb) {\n  if (len < 0 || len > 31 || val >>> len !== 0)\n    throw new RangeError(\"Value out of range\");\n  for (let i = len - 1; i >= 0; i--)\n    bb.push(val >>> i & 1);\n}\nfunction getBit(x, i) {\n  return (x >>> i & 1) !== 0;\n}\nclass QrSegment {\n  // Creates a new QR Code segment with the given attributes and data.\n  // The character count (numChars) must agree with the mode and the bit buffer length,\n  // but the constraint isn't checked. The given bit buffer is cloned and stored.\n  constructor(mode, numChars, bitData) {\n    this.mode = mode;\n    this.numChars = numChars;\n    this.bitData = bitData;\n    if (numChars < 0)\n      throw new RangeError(\"Invalid argument\");\n    this.bitData = bitData.slice();\n  }\n  /* -- Methods -- */\n  // Returns a new copy of the data bits of this segment.\n  getData() {\n    return this.bitData.slice();\n  }\n}\nconst MODE_NUMERIC = [1, 10, 12, 14];\nconst MODE_ALPHANUMERIC = [2, 9, 11, 13];\nconst MODE_BYTE = [4, 8, 16, 16];\nfunction numCharCountBits(mode, ver) {\n  return mode[Math.floor((ver + 7) / 17) + 1];\n}\nfunction makeBytes(data) {\n  const bb = [];\n  for (const b of data)\n    appendBits(b, 8, bb);\n  return new QrSegment(MODE_BYTE, data.length, bb);\n}\nfunction makeNumeric(digits) {\n  if (!isNumeric(digits))\n    throw new RangeError(\"String contains non-numeric characters\");\n  const bb = [];\n  for (let i = 0; i < digits.length; ) {\n    const n = Math.min(digits.length - i, 3);\n    appendBits(Number.parseInt(digits.substring(i, i + n), 10), n * 3 + 1, bb);\n    i += n;\n  }\n  return new QrSegment(MODE_NUMERIC, digits.length, bb);\n}\nfunction makeAlphanumeric(text) {\n  if (!isAlphanumeric(text))\n    throw new RangeError(\"String contains unencodable characters in alphanumeric mode\");\n  const bb = [];\n  let i;\n  for (i = 0; i + 2 <= text.length; i += 2) {\n    let temp = ALPHANUMERIC_CHARSET.indexOf(text.charAt(i)) * 45;\n    temp += ALPHANUMERIC_CHARSET.indexOf(text.charAt(i + 1));\n    appendBits(temp, 11, bb);\n  }\n  if (i < text.length)\n    appendBits(ALPHANUMERIC_CHARSET.indexOf(text.charAt(i)), 6, bb);\n  return new QrSegment(MODE_ALPHANUMERIC, text.length, bb);\n}\nfunction makeSegments(text) {\n  if (text === \"\")\n    return [];\n  else if (isNumeric(text))\n    return [makeNumeric(text)];\n  else if (isAlphanumeric(text))\n    return [makeAlphanumeric(text)];\n  else\n    return [makeBytes(toUtf8ByteArray(text))];\n}\nfunction isNumeric(text) {\n  return NUMERIC_REGEX.test(text);\n}\nfunction isAlphanumeric(text) {\n  return ALPHANUMERIC_REGEX.test(text);\n}\nfunction getTotalBits(segs, version) {\n  let result = 0;\n  for (const seg of segs) {\n    const ccbits = numCharCountBits(seg.mode, version);\n    if (seg.numChars >= 1 << ccbits)\n      return Number.POSITIVE_INFINITY;\n    result += 4 + ccbits + seg.bitData.length;\n  }\n  return result;\n}\nfunction toUtf8ByteArray(str) {\n  str = encodeURI(str);\n  const result = [];\n  for (let i = 0; i < str.length; i++) {\n    if (str.charAt(i) !== \"%\") {\n      result.push(str.charCodeAt(i));\n    } else {\n      result.push(Number.parseInt(str.substring(i + 1, i + 3), 16));\n      i += 2;\n    }\n  }\n  return result;\n}\nfunction getNumRawDataModules(ver) {\n  if (ver < MIN_VERSION || ver > MAX_VERSION)\n    throw new RangeError(\"Version number out of range\");\n  let result = (16 * ver + 128) * ver + 64;\n  if (ver >= 2) {\n    const numAlign = Math.floor(ver / 7) + 2;\n    result -= (25 * numAlign - 10) * numAlign - 55;\n    if (ver >= 7)\n      result -= 36;\n  }\n  return result;\n}\nfunction getNumDataCodewords(ver, ecl) {\n  return Math.floor(getNumRawDataModules(ver) / 8) - ECC_CODEWORDS_PER_BLOCK[ecl[0]][ver] * NUM_ERROR_CORRECTION_BLOCKS[ecl[0]][ver];\n}\nfunction reedSolomonComputeDivisor(degree) {\n  if (degree < 1 || degree > 255)\n    throw new RangeError(\"Degree out of range\");\n  const result = [];\n  for (let i = 0; i < degree - 1; i++)\n    result.push(0);\n  result.push(1);\n  let root = 1;\n  for (let i = 0; i < degree; i++) {\n    for (let j = 0; j < result.length; j++) {\n      result[j] = reedSolomonMultiply(result[j], root);\n      if (j + 1 < result.length)\n        result[j] ^= result[j + 1];\n    }\n    root = reedSolomonMultiply(root, 2);\n  }\n  return result;\n}\nfunction reedSolomonComputeRemainder(data, divisor) {\n  const result = divisor.map((_) => 0);\n  for (const b of data) {\n    const factor = b ^ result.shift();\n    result.push(0);\n    divisor.forEach((coef, i) => result[i] ^= reedSolomonMultiply(coef, factor));\n  }\n  return result;\n}\nfunction reedSolomonMultiply(x, y) {\n  if (x >>> 8 !== 0 || y >>> 8 !== 0)\n    throw new RangeError(\"Byte out of range\");\n  let z = 0;\n  for (let i = 7; i >= 0; i--) {\n    z = z << 1 ^ (z >>> 7) * 285;\n    z ^= (y >>> i & 1) * x;\n  }\n  return z;\n}\nfunction encodeSegments(segs, ecl, minVersion = 1, maxVersion = 40, mask = -1, boostEcl = true) {\n  if (!(MIN_VERSION <= minVersion && minVersion <= maxVersion && maxVersion <= MAX_VERSION) || mask < -1 || mask > 7) {\n    throw new RangeError(\"Invalid value\");\n  }\n  let version;\n  let dataUsedBits;\n  for (version = minVersion; ; version++) {\n    const dataCapacityBits2 = getNumDataCodewords(version, ecl) * 8;\n    const usedBits = getTotalBits(segs, version);\n    if (usedBits <= dataCapacityBits2) {\n      dataUsedBits = usedBits;\n      break;\n    }\n    if (version >= maxVersion)\n      throw new RangeError(\"Data too long\");\n  }\n  for (const newEcl of [MEDIUM, QUARTILE, HIGH]) {\n    if (boostEcl && dataUsedBits <= getNumDataCodewords(version, newEcl) * 8)\n      ecl = newEcl;\n  }\n  const bb = [];\n  for (const seg of segs) {\n    appendBits(seg.mode[0], 4, bb);\n    appendBits(seg.numChars, numCharCountBits(seg.mode, version), bb);\n    for (const b of seg.getData())\n      bb.push(b);\n  }\n  const dataCapacityBits = getNumDataCodewords(version, ecl) * 8;\n  appendBits(0, Math.min(4, dataCapacityBits - bb.length), bb);\n  appendBits(0, (8 - bb.length % 8) % 8, bb);\n  for (let padByte = 236; bb.length < dataCapacityBits; padByte ^= 236 ^ 17)\n    appendBits(padByte, 8, bb);\n  const dataCodewords = Array.from({ length: Math.ceil(bb.length / 8) }, () => 0);\n  bb.forEach((b, i) => dataCodewords[i >>> 3] |= b << 7 - (i & 7));\n  return new QrCode(version, ecl, dataCodewords, mask);\n}\n\nfunction encode(data, options) {\n  const {\n    ecc = \"L\",\n    boostEcc = false,\n    minVersion = 1,\n    maxVersion = 40,\n    maskPattern = -1,\n    border = 1\n  } = options || {};\n  const segment = typeof data === \"string\" ? makeSegments(data) : Array.isArray(data) ? [makeBytes(data)] : void 0;\n  if (!segment)\n    throw new Error(`uqr only supports encoding string and binary data, but got: ${typeof data}`);\n  const qr = encodeSegments(\n    segment,\n    EccMap[ecc],\n    minVersion,\n    maxVersion,\n    maskPattern,\n    boostEcc\n  );\n  const result = addBorder({\n    version: qr.version,\n    maskPattern: qr.mask,\n    size: qr.size,\n    data: qr.modules,\n    types: qr.types\n  }, border);\n  if (options?.invert)\n    result.data = result.data.map((row) => row.map((mod) => !mod));\n  options?.onEncoded?.(result);\n  return result;\n}\nfunction addBorder(input, border = 1) {\n  if (!border)\n    return input;\n  const { size } = input;\n  const newSize = size + border * 2;\n  input.size = newSize;\n  input.data.forEach((row) => {\n    for (let i = 0; i < border; i++) {\n      row.unshift(false);\n      row.push(false);\n    }\n  });\n  for (let i = 0; i < border; i++) {\n    input.data.unshift(Array.from({ length: newSize }, (_) => false));\n    input.data.push(Array.from({ length: newSize }, (_) => false));\n  }\n  const b = QrCodeDataType.Border;\n  input.types.forEach((row) => {\n    for (let i = 0; i < border; i++) {\n      row.unshift(b);\n      row.push(b);\n    }\n  });\n  for (let i = 0; i < border; i++) {\n    input.types.unshift(Array.from({ length: newSize }, (_) => b));\n    input.types.push(Array.from({ length: newSize }, (_) => b));\n  }\n  return input;\n}\nfunction getDataAt(data, x, y, defaults = false) {\n  if (x < 0 || y < 0 || x >= data.length || y >= data.length)\n    return defaults;\n  return data[y][x];\n}\n\nfunction renderUnicode(data, options = {}) {\n  const {\n    whiteChar = \"\\u2588\",\n    blackChar = \"\\u2591\"\n  } = options;\n  const result = encode(data, options);\n  return result.data.map((row) => {\n    return row.map((mod) => mod ? blackChar : whiteChar).join(\"\");\n  }).join(\"\\n\");\n}\nfunction renderANSI(data, options = {}) {\n  return renderUnicode(data, {\n    ...options,\n    blackChar: \"\\x1B[40m\\u3000\\x1B[0m\",\n    whiteChar: \"\\x1B[47m\\u3000\\x1B[0m\"\n  });\n}\nfunction renderUnicodeCompact(data, options = {}) {\n  const palette = {\n    WHITE_ALL: \"\\u2588\",\n    WHITE_BLACK: \"\\u2580\",\n    BLACK_WHITE: \"\\u2584\",\n    BLACK_ALL: \" \"\n  };\n  const result = encode(data, options);\n  const WHITE = false;\n  const BLACK = true;\n  const at = (x, y) => getDataAt(result.data, x, y, true);\n  const lines = [];\n  let line = \"\";\n  for (let row = 0; row < result.size; row += 2) {\n    for (let col = 0; col < result.size; col++) {\n      if (at(col, row) === WHITE && at(col, row + 1) === WHITE)\n        line += palette.WHITE_ALL;\n      else if (at(col, row) === WHITE && at(col, row + 1) === BLACK)\n        line += palette.WHITE_BLACK;\n      else if (at(col, row) === BLACK && at(col, row + 1) === WHITE)\n        line += palette.BLACK_WHITE;\n      else\n        line += palette.BLACK_ALL;\n    }\n    lines.push(line);\n    line = \"\";\n  }\n  return lines.join(\"\\n\");\n}\n\nfunction escapeAttr(value) {\n  return value.replace(/&/g, \"&amp;\").replace(/\"/g, \"&quot;\").replace(/</g, \"&lt;\").replace(/>/g, \"&gt;\");\n}\nfunction renderSVG(data, options = {}) {\n  const result = encode(data, options);\n  const {\n    pixelSize = 10,\n    whiteColor = \"white\",\n    blackColor = \"black\"\n  } = options;\n  const height = result.size * pixelSize;\n  const width = result.size * pixelSize;\n  let svg = `<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 ${width} ${height}\">`;\n  const paths = [];\n  for (let row = 0; row < result.size; row++) {\n    for (let col = 0; col < result.size; col++) {\n      const x = col * pixelSize;\n      const y = row * pixelSize;\n      if (result.data[row][col])\n        paths.push(`M${x},${y}h${pixelSize}v${pixelSize}h-${pixelSize}z`);\n    }\n  }\n  svg += `<rect fill=\"${escapeAttr(whiteColor)}\" width=\"${width}\" height=\"${height}\"/>`;\n  svg += `<path fill=\"${escapeAttr(blackColor)}\" d=\"${paths.join(\"\")}\"/>`;\n  svg += \"</svg>\";\n  return svg;\n}\n\nexport { QrCodeDataType, encode, renderANSI, renderSVG, renderUnicode, renderUnicodeCompact };\n"
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bin/chunk-tqrhc1pv.js.map

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bin/chunk-vaagfpxx.js.map

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+  "sources": ["src/services/server-connection.ts"],
+  "sourcesContent": [
+    "import { Service, type Endpoint, type EnsureOptions } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, isUnauthorizedError, OpenCode } from \"@opencode-ai/client/promise\"\nimport { OPENCODE_VERSION } from \"../version\"\nimport { Effect, Redacted } from \"effect\"\nimport { Env } from \"../env\"\nimport { ServiceConfig } from \"./service-config\"\nimport { Standalone } from \"./standalone\"\n\nexport type Args = {\n  readonly server?: string\n  readonly standalone?: boolean\n  readonly mismatch?: \"replace\" | \"ignore\" | \"error\"\n  readonly onStart?: EnsureOptions[\"onStart\"]\n}\n\nexport type Resolved = {\n  readonly endpoint: Endpoint\n  readonly service?: ReturnType<typeof managedService>\n}\n\nexport const resolve = Effect.fn(\"cli.server-connection.resolve\")(function* (args: Args) {\n  if (args.server !== undefined && args.standalone)\n    return yield* Effect.fail(new Error(\"--server and --standalone cannot be combined\"))\n  if (args.server !== undefined) {\n    const password = yield* Env.password\n    const endpoint = {\n      url: args.server,\n      auth: password ? { type: \"basic\" as const, username: \"opencode\", password: Redacted.value(password) } : undefined,\n    } satisfies Endpoint\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const health = yield* Effect.tryPromise({\n      try: () => client.health.get({ signal: AbortSignal.timeout(5_000) }),\n      catch: (cause) => connectError(endpoint, cause),\n    })\n    if (health.version !== OPENCODE_VERSION)\n      process.stderr.write(\n        `Warning: Server at ${endpoint.url} has version ${health.version}; this client is ${OPENCODE_VERSION}. Continuing anyway.\\n`,\n      )\n    return { endpoint } satisfies Resolved\n  }\n  if (args.standalone) {\n    return { endpoint: yield* Standalone.start() } satisfies Resolved\n  }\n\n  const options = yield* ServiceConfig.options()\n  return {\n    endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, args.mismatch ?? \"replace\"),\n    service: managedService(options),\n  } satisfies Resolved\n})\n\nfunction managedService(options: EnsureOptions) {\n  const reconnectOptions = { ...options, version: undefined }\n  return {\n    reconnect: () => Service.ensure(reconnectOptions),\n    restart: () =>\n      Effect.gen(function* () {\n        yield* Service.stop(options)\n        yield* Service.ensure(reconnectOptions)\n      }),\n  }\n}\n\nconst resolveManaged = Effect.fnUntraced(function* (\n  options: EnsureOptions,\n  mismatch: NonNullable<Args[\"mismatch\"]>,\n) {\n  if (mismatch === \"replace\") return yield* Service.ensure(options)\n  if (mismatch === \"ignore\") return yield* Service.ensure({ ...options, version: undefined })\n\n  const compatible = yield* Service.discover(options)\n  if (compatible !== undefined) return compatible\n  const existing = yield* Service.discover({ ...options, version: undefined })\n  if (existing !== undefined)\n    return yield* Effect.fail(new Error(\"Background server version does not match this client\"))\n  return yield* Service.ensure(options)\n})\n\nfunction connectError(endpoint: Endpoint, cause: unknown) {\n  if (isUnauthorizedError(cause)) {\n    return new Error(\n      endpoint.auth === undefined\n        ? `Server at ${endpoint.url} requires a password; set OPENCODE_PASSWORD`\n        : `Server at ${endpoint.url} rejected the password`,\n      { cause },\n    )\n  }\n  if (cause instanceof ClientError && cause.reason === \"Transport\")\n    return new Error(`Could not reach server at ${endpoint.url}`, { cause })\n  return new Error(`Server at ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n"
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bin/chunk-vva44dmf.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openai-compatible.ts"],
+  "sourcesContent": [
+    "import { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options\"\n\nexport const id = ProviderID.make(\"openai-compatible\")\n\ntype GenericModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL: string\n  readonly provider?: string\n}\n\nexport type FamilyModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport const routes = [OpenAICompatibleChat.route]\n\nexport const configure = (input: GenericModelOptions) => {\n  const provider = input.provider ?? \"openai-compatible\"\n  const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n  const route = OpenAICompatibleChat.route.with({\n    ...rest,\n    provider,\n    endpoint: { baseURL },\n    auth: AuthOptions.bearer(input, []),\n  })\n  return {\n    id: ProviderID.make(provider),\n    model: (modelID: string | ModelID) =>\n      route.model<OpenAIProviderOptionsInput>({ id: modelID, provider: ProviderID.make(provider) }),\n    configure,\n  }\n}\n\nconst define = (profile: OpenAICompatibleProfile) => {\n  const configureProfile = (input: FamilyModelOptions = {}) => {\n    const facade = configure({\n      ...input,\n      baseURL: input.baseURL ?? profile.baseURL,\n      provider: profile.provider,\n    })\n    return {\n      id: ProviderID.make(profile.provider),\n      model: facade.model,\n      configure: configureProfile,\n    }\n  }\n  return configureProfile()\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n  }).model(modelID)\n\nexport const baseten = define(profiles.baseten)\nexport const cerebras = define(profiles.cerebras)\nexport const deepinfra = define(profiles.deepinfra)\nexport const deepseek = define(profiles.deepseek)\nexport const fireworks = define(profiles.fireworks)\nexport const groq = define(profiles.groq)\nexport const togetherai = define(profiles.togetherai)\n"
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bin/chunk-vwpnak93.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/gemini.ts", "../ai/src/protocols/google-images.ts", "../ai/src/providers/google.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderOptions,\n  type ProviderMetadata,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n} from \"../schema\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\n\nconst ADAPTER = \"gemini\"\nconst MEDIA_MIMES = new Set<string>(ProviderShared.MEDIA_MIMES)\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\nexport interface OptionsInput {\n  readonly [key: string]: unknown\n  readonly cachedContent?: string\n  readonly safetySettings?: ReadonlyArray<{\n    readonly category:\n      | \"HARM_CATEGORY_UNSPECIFIED\"\n      | \"HARM_CATEGORY_HATE_SPEECH\"\n      | \"HARM_CATEGORY_DANGEROUS_CONTENT\"\n      | \"HARM_CATEGORY_HARASSMENT\"\n      | \"HARM_CATEGORY_SEXUALLY_EXPLICIT\"\n      | \"HARM_CATEGORY_CIVIC_INTEGRITY\"\n      | (string & {})\n    readonly threshold:\n      | \"HARM_BLOCK_THRESHOLD_UNSPECIFIED\"\n      | \"BLOCK_LOW_AND_ABOVE\"\n      | \"BLOCK_MEDIUM_AND_ABOVE\"\n      | \"BLOCK_ONLY_HIGH\"\n      | \"BLOCK_NONE\"\n      | \"OFF\"\n      | (string & {})\n  }>\n  readonly serviceTier?: \"standard\" | \"flex\" | \"priority\" | (string & {})\n  readonly thinkingConfig?: {\n    readonly thinkingBudget?: number\n    readonly includeThoughts?: boolean\n    readonly thinkingLevel?: \"minimal\" | \"low\" | \"medium\" | \"high\" | (string & {})\n  }\n}\n\nexport type ProviderOptionsInput = ProviderOptions & {\n  readonly gemini?: OptionsInput\n}\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst GeminiTextPart = Schema.Struct({\n  text: Schema.String,\n  thought: Schema.optional(Schema.Boolean),\n  thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiInlineDataPart = Schema.Struct({\n  inlineData: Schema.Struct({\n    mimeType: Schema.String,\n    data: Schema.String,\n  }),\n})\ntype GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>\n\nconst GeminiFunctionCallPart = Schema.Struct({\n  functionCall: Schema.Struct({\n    id: Schema.optional(Schema.String),\n    name: Schema.String,\n    args: Schema.Unknown,\n  }),\n  thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n  functionResponse: Schema.Struct({\n    id: Schema.optional(Schema.String),\n    name: Schema.String,\n    response: Schema.Unknown,\n    parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),\n  }),\n})\n\nconst GeminiContentPart = Schema.Union([\n  GeminiTextPart,\n  GeminiInlineDataPart,\n  GeminiFunctionCallPart,\n  GeminiFunctionResponsePart,\n])\n\nconst GeminiContent = Schema.Struct({\n  role: Schema.Literals([\"user\", \"model\"]),\n  parts: Schema.Array(GeminiContentPart),\n})\ntype GeminiContent = Schema.Schema.Type<typeof GeminiContent>\n\nconst GeminiSystemInstruction = Schema.Struct({\n  parts: Schema.Array(Schema.Struct({ text: Schema.String })),\n})\n\nconst GeminiFunctionDeclaration = Schema.Struct({\n  name: Schema.String,\n  description: Schema.String,\n  parameters: Schema.optional(JsonObject),\n})\n\nconst GeminiTool = Schema.Struct({\n  functionDeclarations: Schema.Array(GeminiFunctionDeclaration),\n})\n\nconst GeminiToolConfig = Schema.Struct({\n  functionCallingConfig: Schema.Struct({\n    mode: Schema.Literals([\"AUTO\", \"NONE\", \"ANY\"]),\n    allowedFunctionNames: optionalArray(Schema.String),\n  }),\n})\n\nconst GeminiThinkingConfig = Schema.Struct({\n  thinkingBudget: Schema.optional(Schema.Number),\n  includeThoughts: Schema.optional(Schema.Boolean),\n  thinkingLevel: Schema.optional(Schema.String),\n})\n\nconst GeminiSafetySetting = Schema.Struct({\n  category: Schema.String,\n  threshold: Schema.String,\n})\n\nconst GeminiGenerationConfig = Schema.Struct({\n  maxOutputTokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  topP: Schema.optional(Schema.Number),\n  topK: Schema.optional(Schema.Number),\n  stopSequences: optionalArray(Schema.String),\n  thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n  cachedContent: Schema.optional(Schema.String),\n  contents: Schema.Array(GeminiContent),\n  safetySettings: optionalArray(GeminiSafetySetting),\n  serviceTier: Schema.optional(Schema.String),\n  systemInstruction: Schema.optional(GeminiSystemInstruction),\n  tools: optionalArray(GeminiTool),\n  toolConfig: Schema.optional(GeminiToolConfig),\n  generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n  cachedContentTokenCount: Schema.optional(Schema.Number),\n  thoughtsTokenCount: Schema.optional(Schema.Number),\n  promptTokenCount: Schema.optional(Schema.Number),\n  candidatesTokenCount: Schema.optional(Schema.Number),\n  totalTokenCount: Schema.optional(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n  content: Schema.optional(GeminiContent),\n  finishReason: Schema.optional(Schema.String),\n})\n\nconst GeminiEvent = Schema.Struct({\n  candidates: optionalArray(GeminiCandidate),\n  usageMetadata: Schema.optional(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n  readonly finishReason?: string\n  readonly hasToolCalls: boolean\n  readonly nextToolCallId: number\n  readonly usage?: Usage\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningSignature?: string\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n//    enums (must be strings), `required` entries that don't match a property,\n//    untyped arrays (`items` must be present), and `properties`/`required`\n//    keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n//    drop empty objects, derive `nullable: true` from `type: [..., \"null\"]`,\n//    coerce `const` to `[const]` enum, recurse properties/items, propagate\n//    only an allowlisted set of keys (description, required, format, type,\n//    properties, items, allOf, anyOf, oneOf, minLength). Anything outside the\n//    allowlist (e.g. `additionalProperties`, `$ref`) is silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n  name: tool.name,\n  description: tool.description,\n  parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n    auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n    none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n    required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n    tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n  })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n  if (part.type === \"text\") return { text: part.text }\n  const media = yield* ProviderShared.validateMedia(\"Gemini\", part, MEDIA_MIMES)\n  return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n  const google = providerMetadata?.google\n  return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n    ? google.thoughtSignature\n    : undefined\n}\n\nconst functionCallId = (providerMetadata: ProviderMetadata | undefined) => {\n  const google = providerMetadata?.google\n  return ProviderShared.isRecord(google) && typeof google.functionCallId === \"string\"\n    ? google.functionCallId\n    : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart) => ({\n  functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input },\n  thoughtSignature: thoughtSignature(part.providerMetadata),\n})\n\nconst lowerMessages = Effect.fn(\"Gemini.lowerMessages\")(function* (request: LLMRequest) {\n  const contents: GeminiContent[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Gemini\", message)\n      const previous = contents.at(-1)\n      if (previous?.role === \"user\")\n        contents[contents.length - 1] = { role: \"user\", parts: [...previous.parts, { text: part.text }] }\n      else contents.push({ role: \"user\", parts: [{ text: part.text }] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"user\", [\"text\", \"media\"])\n        parts.push(yield* lowerUserPart(part))\n      }\n      contents.push({ role: \"user\", parts })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n        if (part.type === \"text\") {\n          parts.push({ text: part.text })\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          parts.push(lowerToolCall(part))\n          continue\n        }\n      }\n      contents.push({ role: \"model\", parts })\n      continue\n    }\n\n    const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n      if (part.result.type !== \"content\") {\n        parts.push({\n          functionResponse: {\n            id: functionCallId(part.providerMetadata),\n            name: part.name,\n            response: {\n              name: part.name,\n              content: ProviderShared.toolResultText(part),\n            },\n          },\n        })\n        continue\n      }\n      const content: ReadonlyArray<Tool.Content> = part.result.value\n      const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n      const media: GeminiInlineDataPart[] = []\n      for (const item of content) {\n        if (item.type === \"text\") continue\n        const value = yield* ProviderShared.validateToolFile(\"Gemini\", item, MEDIA_MIMES)\n        media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })\n      }\n      parts.push({\n        functionResponse: {\n          id: functionCallId(part.providerMetadata),\n          name: part.name,\n          response: {\n            name: part.name,\n            content: text.join(\"\\n\"),\n          },\n          parts: media.length > 0 ? media : undefined,\n        },\n      })\n    }\n    contents.push({ role: \"user\", parts })\n  }\n\n  return contents\n})\n\nconst resolveOptions = (request: LLMRequest) => {\n  const input = request.providerOptions?.gemini\n  const value = input?.thinkingConfig\n  const thinkingConfig = {\n    thinkingBudget:\n      ProviderShared.isRecord(value) && typeof value.thinkingBudget === \"number\" ? value.thinkingBudget : undefined,\n    includeThoughts:\n      ProviderShared.isRecord(value) && typeof value.includeThoughts === \"boolean\"\n        ? value.includeThoughts\n        : ProviderShared.isRecord(value)\n          ? true\n          : undefined,\n    thinkingLevel:\n      ProviderShared.isRecord(value) && typeof value.thinkingLevel === \"string\" ? value.thinkingLevel : undefined,\n  }\n  return {\n    cachedContent: typeof input?.cachedContent === \"string\" ? input.cachedContent : undefined,\n    safetySettings: mapSafetySettings(input?.safetySettings),\n    serviceTier: typeof input?.serviceTier === \"string\" ? input.serviceTier : undefined,\n    thinkingConfig: Object.values(thinkingConfig).some((item) => item !== undefined) ? thinkingConfig : undefined,\n  }\n}\n\nfunction mapSafetySettings(value: unknown) {\n  if (!Array.isArray(value)) return undefined\n  const settings = value.flatMap((item) =>\n    ProviderShared.isRecord(item) && typeof item.category === \"string\" && typeof item.threshold === \"string\"\n      ? [{ category: item.category, threshold: item.threshold }]\n      : [],\n  )\n  return settings\n}\n\nconst fromRequest = Effect.fn(\"Gemini.fromRequest\")(function* (request: LLMRequest) {\n  const hasTools = request.tools.length > 0\n  const generation = request.generation\n  const options = resolveOptions(request)\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const generationConfig = {\n    maxOutputTokens: generation?.maxTokens,\n    temperature: generation?.temperature,\n    topP: generation?.topP,\n    topK: generation?.topK,\n    stopSequences: generation?.stop,\n    thinkingConfig: options.thinkingConfig,\n  }\n\n  return {\n    cachedContent: options.cachedContent,\n    contents: yield* lowerMessages(request),\n    safetySettings: options.safetySettings,\n    serviceTier: options.serviceTier,\n    systemInstruction:\n      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },\n    tools: hasTools\n      ? [\n          {\n            functionDeclarations: request.tools.map((tool) =>\n              lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n            ),\n          },\n        ]\n      : undefined,\n    toolConfig: hasTools && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,\n    generationConfig: Object.values(generationConfig).some((value) => value !== undefined)\n      ? generationConfig\n      : undefined,\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Gemini reports `promptTokenCount` (inclusive total) with a\n// `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*\n// of `thoughtsTokenCount` — visible-only, not a total — so we sum the two\n// to produce the inclusive `outputTokens` the rest of the contract expects.\nconst mapUsage = (usage: GeminiUsage | undefined) => {\n  if (!usage) return undefined\n  const cached = usage.cachedContentTokenCount\n  const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached)\n  // `candidatesTokenCount` is visible-only; sum with thoughts to produce the\n  // inclusive `outputTokens` the contract expects. Only compute the total\n  // when the visible component is reported — otherwise we'd fabricate an\n  // inclusive number from a partial breakdown.\n  const outputTokens =\n    usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined\n  return new Usage({\n    inputTokens: usage.promptTokenCount,\n    outputTokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    reasoningTokens: usage.thoughtsTokenCount,\n    totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n    providerMetadata: { google: usage },\n  })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n  if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n  if (finishReason === \"MAX_TOKENS\") return \"length\"\n  if (\n    finishReason === \"IMAGE_SAFETY\" ||\n    finishReason === \"RECITATION\" ||\n    finishReason === \"SAFETY\" ||\n    finishReason === \"BLOCKLIST\" ||\n    finishReason === \"PROHIBITED_CONTENT\" ||\n    finishReason === \"SPII\" ||\n    finishReason === \"MODEL_ARMOR\" ||\n    finishReason === \"IMAGE_PROHIBITED_CONTENT\" ||\n    finishReason === \"IMAGE_RECITATION\" ||\n    finishReason === \"LANGUAGE\"\n  )\n    return \"content-filter\"\n  if (\n    finishReason === \"MALFORMED_FUNCTION_CALL\" ||\n    finishReason === \"UNEXPECTED_TOOL_CALL\" ||\n    finishReason === \"NO_IMAGE\" ||\n    finishReason === \"TOO_MANY_TOOL_CALLS\" ||\n    finishReason === \"MISSING_THOUGHT_SIGNATURE\" ||\n    finishReason === \"MALFORMED_RESPONSE\"\n  )\n    return \"error\"\n  return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> =>\n  state.finishReason || state.usage\n    ? (() => {\n        const events: LLMEvent[] = []\n        const lifecycle = state.reasoningSignature\n          ? Lifecycle.reasoningEnd(\n              state.lifecycle,\n              events,\n              \"reasoning-0\",\n              googleMetadata({ thoughtSignature: state.reasoningSignature }),\n            )\n          : state.lifecycle\n        Lifecycle.finish(lifecycle, events, {\n          reason: {\n            normalized: mapFinishReason(state.finishReason, state.hasToolCalls),\n            raw: state.finishReason,\n          },\n          usage: state.usage,\n        })\n        return events\n      })()\n    : []\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n  const nextState = {\n    ...state,\n    usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n  }\n  const candidate = event.candidates?.[0]\n  if (!candidate?.content)\n    return Effect.succeed([\n      { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n      [],\n    ] as const)\n\n  const events: LLMEvent[] = []\n  let hasToolCalls = nextState.hasToolCalls\n  let lifecycle = nextState.lifecycle\n  let nextToolCallId = nextState.nextToolCallId\n  let reasoningSignature = nextState.reasoningSignature\n\n  for (const part of candidate.content.parts) {\n    if (\"thoughtSignature\" in part && part.thoughtSignature && \"thought\" in part && part.thought)\n      reasoningSignature = part.thoughtSignature\n    if (\"text\" in part && part.text.length > 0) {\n      if (part.thought) {\n        lifecycle = Lifecycle.reasoningDelta(\n          lifecycle,\n          events,\n          \"reasoning-0\",\n          part.text,\n          part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n        )\n        continue\n      }\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", part.text)\n      continue\n    }\n\n    if (\"functionCall\" in part) {\n      const input = part.functionCall.args\n      const id = `tool_${nextToolCallId++}`\n      const metadata = {\n        ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }),\n        ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }),\n      }\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n      )\n      lifecycle = Lifecycle.stepStart(lifecycle, events)\n      events.push(\n        LLMEvent.toolCall({\n          id,\n          name: part.functionCall.name,\n          input,\n          providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined,\n        }),\n      )\n      hasToolCalls = true\n    }\n  }\n\n  return Effect.succeed([\n    {\n      ...nextState,\n      hasToolCalls,\n      lifecycle,\n      nextToolCallId,\n      reasoningSignature,\n      finishReason: candidate.finishReason ?? nextState.finishReason,\n    },\n    events,\n  ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine. Used by Google AI Studio Gemini and (once\n * registered) Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: GeminiBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(GeminiEvent),\n    initial: () => ({ hasToolCalls: false, nextToolCallId: 0, lifecycle: Lifecycle.initial() }),\n    step,\n    onHalt: finish,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"google\",\n  providerMetadataKey: \"google\",\n  protocol,\n  // Gemini's path embeds the model id and pins SSE framing at the URL level.\n  endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n    baseURL: DEFAULT_BASE_URL,\n  }),\n  auth: Auth.none,\n  framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini\"\n",
+    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport {\n  GeneratedImage,\n  ImageModel,\n  ImageResponse,\n  type ImageInput,\n  type ImageRequestFor,\n  type ImageRoute,\n} from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n  type ProviderMetadata,\n} from \"../schema\"\nimport { ProviderShared } from \"./shared\"\nimport { ImageInputs } from \"./utils/image-input\"\n\nconst ADAPTER = \"google-images\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\nexport type GoogleImageString<Known extends string> = Known | (string & {})\n\nexport type GoogleImageOptions = {\n  readonly aspectRatio?: GoogleImageString<\n    \"1:1\" | \"2:3\" | \"3:2\" | \"3:4\" | \"4:3\" | \"4:5\" | \"5:4\" | \"9:16\" | \"16:9\" | \"21:9\"\n  >\n  readonly imageSize?: GoogleImageString<\"1K\" | \"2K\" | \"4K\">\n  readonly seed?: number\n  readonly thinkingLevel?: GoogleImageString<\"MINIMAL\" | \"LOW\" | \"MEDIUM\" | \"HIGH\">\n  readonly includeThoughts?: boolean\n} & Record<string, unknown>\n\nexport type GoogleImageBody = Record<string, unknown> & {\n  readonly contents: ReadonlyArray<{\n    readonly role: \"user\"\n    readonly parts: ReadonlyArray<Record<string, unknown>>\n  }>\n  readonly generationConfig: Record<string, unknown>\n}\n\nconst GoogleUsage = Schema.StructWithRest(\n  Schema.Struct({\n    cachedContentTokenCount: Schema.optional(Schema.Number),\n    thoughtsTokenCount: Schema.optional(Schema.Number),\n    promptTokenCount: Schema.optional(Schema.Number),\n    candidatesTokenCount: Schema.optional(Schema.Number),\n    totalTokenCount: Schema.optional(Schema.Number),\n    promptTokensDetails: Schema.optional(Schema.Unknown),\n    candidatesTokensDetails: Schema.optional(Schema.Unknown),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst GoogleImageResponse = Schema.Struct({\n  candidates: Schema.optional(\n    Schema.Array(\n      Schema.Struct({\n        index: Schema.optional(Schema.Number),\n        content: Schema.optional(\n          Schema.Struct({\n            parts: Schema.Array(\n              Schema.Struct({\n                text: Schema.optional(Schema.String),\n                thought: Schema.optional(Schema.Boolean),\n                thoughtSignature: Schema.optional(Schema.String),\n                inlineData: Schema.optional(\n                  Schema.Struct({\n                    mimeType: Schema.String,\n                    data: Schema.String,\n                  }),\n                ),\n              }),\n            ),\n          }),\n        ),\n        finishReason: Schema.optional(Schema.String),\n        finishMessage: Schema.optional(Schema.String),\n        safetyRatings: Schema.optional(Schema.Unknown),\n        citationMetadata: Schema.optional(Schema.Unknown),\n        groundingMetadata: Schema.optional(Schema.Unknown),\n      }),\n    ),\n  ),\n  usageMetadata: Schema.optional(GoogleUsage),\n  modelVersion: Schema.optional(Schema.String),\n  responseId: Schema.optional(Schema.String),\n  promptFeedback: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n  readonly id: string\n  readonly auth: AuthDefinition\n  readonly baseURL?: string\n  readonly headers?: Record<string, string>\n  readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: GoogleImageOptions | undefined) => {\n  const { aspectRatio, imageSize, seed, thinkingLevel, includeThoughts, ...native } = options ?? {}\n  const image = {\n    aspectRatio,\n    imageSize,\n  }\n  const thinkingConfig = {\n    thinkingLevel,\n    includeThoughts,\n  }\n  return (\n    mergeJsonRecords(\n      {\n        responseModalities: [\"IMAGE\"],\n        imageConfig: Object.values(image).some((value) => value !== undefined) ? image : undefined,\n        seed,\n        thinkingConfig: Object.values(thinkingConfig).some((value) => value !== undefined) ? thinkingConfig : undefined,\n      },\n      native,\n    ) ?? { responseModalities: [\"IMAGE\"] }\n  )\n}\n\nconst invalidOutput = (message: string, providerMetadata?: ProviderMetadata) =>\n  new AIError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER, providerMetadata }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute<GoogleImageOptions> = {\n    id: ADAPTER,\n    generate: Effect.fn(\"GoogleImages.generate\")(function* (request: ImageRequestFor<GoogleImageOptions>, execute) {\n      const imageParts = yield* Effect.forEach(request.images ?? [], googleImagePart)\n      const http = mergeHttpOptions(request.model.http, request.http)\n      const requestBody = mergeJsonRecords(\n        {\n          contents: [{ role: \"user\", parts: [{ text: request.prompt }, ...imageParts] }],\n          generationConfig: nativeOptions(request.options),\n        },\n        http?.body,\n      ) as GoogleImageBody\n      const text = ProviderShared.encodeJson(requestBody)\n      const url = applyQuery(\n        `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}/models/${request.model.id}:generateContent`,\n        http?.query,\n      )\n      const headers = yield* Auth.toEffect(input.auth)({\n        request,\n        method: \"POST\",\n        url,\n        body: text,\n        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n      })\n      const response = yield* execute(\n        HttpClientRequest.post(url).pipe(\n          HttpClientRequest.setHeaders(headers),\n          HttpClientRequest.bodyText(text, \"application/json\"),\n        ),\n      )\n      const payload = yield* response.json.pipe(\n        Effect.mapError(() => invalidOutput(\"Failed to read the Google Images response\")),\n      )\n      const decoded = yield* Schema.decodeUnknownEffect(GoogleImageResponse)(payload).pipe(\n        Effect.mapError(() => invalidOutput(\"Google Images returned an invalid response\")),\n      )\n      const candidates = decoded.candidates ?? []\n      const candidateMetadata = candidates.map((candidate, candidateIndex) => ({\n        index: candidate.index ?? candidateIndex,\n        finishReason: candidate.finishReason,\n        finishMessage: candidate.finishMessage,\n        safetyRatings: candidate.safetyRatings,\n        citationMetadata: candidate.citationMetadata,\n        groundingMetadata: candidate.groundingMetadata,\n        parts: (candidate.content?.parts ?? []).map((part) =>\n          part.inlineData === undefined\n            ? {\n                type: \"text\",\n                text: part.text,\n                thought: part.thought,\n                thoughtSignature: part.thoughtSignature,\n              }\n            : {\n                type: \"inlineData\",\n                mediaType: part.inlineData.mimeType,\n                thought: part.thought,\n                thoughtSignature: part.thoughtSignature,\n              },\n        ),\n      }))\n      const encoded = candidates.flatMap((candidate, candidateIndex) =>\n        (candidate.content?.parts ?? []).flatMap((part, partIndex) =>\n          part.inlineData === undefined || part.thought === true\n            ? []\n            : [{ candidate, candidateIndex, partIndex, inlineData: part.inlineData }],\n        ),\n      )\n      const images = yield* Effect.forEach(encoded, (item) =>\n        Effect.fromResult(Encoding.decodeBase64(item.inlineData.data)).pipe(\n          Effect.mapError(() =>\n            invalidOutput(\n              `Google Images candidate ${item.candidateIndex} part ${item.partIndex} contains invalid base64 data`,\n            ),\n          ),\n          Effect.map(\n            (data) =>\n              new GeneratedImage({\n                mediaType: item.inlineData.mimeType,\n                data,\n                providerMetadata: {\n                  google: {\n                    candidateIndex: item.candidate.index ?? item.candidateIndex,\n                    partIndex: item.partIndex,\n                    finishReason: item.candidate.finishReason,\n                    safetyRatings: item.candidate.safetyRatings,\n                    citationMetadata: item.candidate.citationMetadata,\n                    groundingMetadata: item.candidate.groundingMetadata,\n                    thoughtSignature: item.candidate.content?.parts[item.partIndex]?.thoughtSignature,\n                  },\n                },\n              }),\n          ),\n        ),\n      )\n      if (images.length === 0) {\n        const finishReasons = candidates.flatMap((candidate) =>\n          candidate.finishReason === undefined ? [] : [candidate.finishReason],\n        )\n        return yield* invalidOutput(\n          `Google Images returned no final images${\n            finishReasons.length === 0 ? \"\" : ` (finish reasons: ${finishReasons.join(\", \")})`\n          }; inspect reason.providerMetadata.google for prompt feedback and candidate details`,\n          {\n            google: {\n              promptFeedback: decoded.promptFeedback,\n              candidates: candidateMetadata,\n            },\n          },\n        )\n      }\n      const usage = decoded.usageMetadata\n      const outputTokens =\n        usage?.candidatesTokenCount === undefined\n          ? undefined\n          : usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0)\n      return new ImageResponse({\n        images,\n        usage:\n          usage === undefined\n            ? undefined\n            : new Usage({\n                inputTokens: usage.promptTokenCount,\n                outputTokens,\n                nonCachedInputTokens: ProviderShared.subtractTokens(\n                  usage.promptTokenCount,\n                  usage.cachedContentTokenCount,\n                ),\n                cacheReadInputTokens: usage.cachedContentTokenCount,\n                reasoningTokens: usage.thoughtsTokenCount,\n                totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n                providerMetadata: { google: usage },\n              }),\n        providerMetadata: {\n          google: {\n            modelVersion: decoded.modelVersion,\n            responseId: decoded.responseId,\n            promptFeedback: decoded.promptFeedback,\n            candidates: candidateMetadata,\n          },\n        },\n      })\n    }),\n  }\n  return ImageModel.make<GoogleImageOptions>({ id: input.id, provider: \"google\", route, http: input.http })\n}\n\nconst googleImagePart = (image: ImageInput): Effect.Effect<Record<string, unknown>, AIError> => {\n  if (image.type === \"bytes\")\n    return Effect.succeed({ inlineData: { mimeType: image.mediaType, data: Encoding.encodeBase64(image.data) } })\n  if (image.type === \"file-uri\") return Effect.succeed({ fileData: { mimeType: image.mediaType, fileUri: image.uri } })\n  if (image.type === \"url\")\n    return ImageInputs.decodeDataUrl(image.url, ADAPTER).pipe(\n      Effect.flatMap((decoded) => {\n        if (decoded === undefined)\n          return Effect.fail(\n            ImageInputs.invalid(\n              ADAPTER,\n              \"Google generateContent does not fetch public image URLs; use bytes, a data URL, or a Gemini file URI\",\n            ),\n          )\n        return Effect.succeed({\n          inlineData: { mimeType: decoded.mediaType, data: Encoding.encodeBase64(decoded.data) },\n        })\n      }),\n    )\n  return Effect.fail(\n    ImageInputs.invalid(ADAPTER, \"Google generateContent requires Gemini file URIs rather than provider file IDs\"),\n  )\n}\n\nexport const GoogleImages = {\n  model,\n} as const\n",
+    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from \"../schema\"\nimport { Gemini } from \"../protocols/gemini\"\nimport { GoogleImages } from \"../protocols/google-images\"\n\nexport type { GoogleImageOptions } from \"../protocols/google-images\"\nexport type GeminiOptionsInput = Gemini.OptionsInput\nexport type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput\n\nexport const id = ProviderID.make(\"google\")\n\nexport const routes = [Gemini.route]\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: Gemini.ProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: Gemini.ProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n    .orElse(Auth.config(\"GOOGLE_GENERATIVE_AI_API_KEY\"))\n    .pipe(Auth.header(\"x-goog-api-key\"))\n}\n\nconst configuredRoute = (input: Config) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return Gemini.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  const image = (modelID: string | ModelID) =>\n    GoogleImages.model({\n      id: modelID,\n      auth: auth(input),\n      baseURL: input.baseURL,\n      headers: input.headers,\n      http: mergeHttpOptions(input.http === undefined ? undefined : HttpOptions.make(input.http)),\n    })\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n\nexport const image = provider.image\n"
+  ],
+  "mappings": 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+  "debugId": "174C0A1E39D35EC264756E2164756E21",
+  "names": []
+}

bin/chunk-wrh7ndae.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/@ai-sdk+vercel@2.0.39+d6123d32214422cb/node_modules/@ai-sdk/vercel/dist/index.mjs"],
+  "sourcesContent": [
+    "// src/vercel-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport { OpenAICompatibleChatLanguageModel } from \"@ai-sdk/openai-compatible\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/version.ts\nvar VERSION = true ? \"2.0.39\" : \"0.0.0-test\";\n\n// src/vercel-provider.ts\nfunction createVercel(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.v0.dev/v1\"\n  );\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"VERCEL_API_KEY\",\n        description: \"Vercel\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/vercel/${VERSION}`\n  );\n  const getCommonModelConfig = (modelType) => ({\n    provider: `vercel.${modelType}`,\n    url: ({ path }) => `${baseURL}${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createChatModel = (modelId) => {\n    return new OpenAICompatibleChatLanguageModel(modelId, {\n      ...getCommonModelConfig(\"chat\")\n    });\n  };\n  const provider = (modelId) => createChatModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createChatModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar vercel = createVercel();\nexport {\n  VERSION,\n  createVercel,\n  vercel\n};\n//# sourceMappingURL=index.mjs.map"
+  ],
+  "mappings": ";4UAYA,SAAI,OAAiB,cAGrB,cAAS,MAAY,MAAC,OAAU,CAAC,EAAG,CAClC,IAAI,EACJ,IAAM,EAAU,GACb,EAAK,EAAQ,UAAY,KAAO,EAAK,uBACxC,EACM,EAAa,IAAM,EACvB,CACE,cAAe,UAAU,EAAW,CAClC,OAAQ,EAAQ,OAChB,wBAAyB,iBACzB,YAAa,QACf,CAAC,OACE,EAAQ,OACb,EACA,iBAAiB,GACnB,EACM,EAAuB,CAAC,KAAe,CAC3C,SAAU,UAAU,IACpB,IAAK,EAAG,UAAW,GAAG,IAAU,IAChC,QAAS,EACT,MAAO,EAAQ,KACjB,GACM,EAAkB,CAAC,IAAY,CACnC,OAAO,IAAI,EAAkC,EAAS,IACjD,EAAqB,MAAM,CAChC,CAAC,GAEG,EAAW,CAAC,IAAY,EAAgB,CAAO,EAUrD,OATA,EAAS,qBAAuB,KAChC,EAAS,cAAgB,EACzB,EAAS,eAAiB,CAAC,IAAY,CACrC,MAAM,IAAI,EAAiB,CAAE,UAAS,UAAW,gBAAiB,CAAC,GAErE,EAAS,mBAAqB,EAAS,eACvC,EAAS,WAAa,CAAC,IAAY,CACjC,MAAM,IAAI,EAAiB,CAAE,UAAS,UAAW,YAAa,CAAC,GAE1D,EAET,IAAI,EAAS,EAAa",
+  "debugId": "33EE0A9DE8ED3E1D64756E2164756E21",
+  "names": []
+}

bin/chunk-wsykpdgg.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/route/auth-options.ts"],
+  "sourcesContent": [
+    "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth\"\n\nexport type ApiKeyMode = \"optional\" | \"required\"\n\nexport type AuthOverride = {\n  readonly auth: Auth.Definition\n  readonly apiKey?: never\n}\n\nexport type OptionalApiKeyAuth = {\n  readonly apiKey?: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n  readonly auth?: never\n}\n\nexport type RequiredApiKeyAuth = {\n  readonly apiKey: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n  readonly auth?: never\n}\n\nexport type ProviderAuthOption<Mode extends ApiKeyMode> =\n  | AuthOverride\n  | (Mode extends \"optional\" ? OptionalApiKeyAuth : RequiredApiKeyAuth)\n\nexport type LanguageModelOptions<Base, Mode extends ApiKeyMode> = Omit<Base, \"apiKey\" | \"auth\"> &\n  ProviderAuthOption<Mode>\n\nexport type LanguageModelArgs<Base, Mode extends ApiKeyMode> = Mode extends \"optional\"\n  ? readonly [options?: LanguageModelOptions<Base, Mode>]\n  : readonly [options: LanguageModelOptions<Base, Mode>]\n\nexport type LanguageModelFactory<Base, Mode extends ApiKeyMode, LanguageModel> = (\n  id: string,\n  ...args: LanguageModelArgs<Base, Mode>\n) => LanguageModel\n\n/**\n * Require at least one of the keys in `T`. Use for option shapes where any\n * subset of fields is acceptable but at least one must be present (e.g. Azure\n * accepts `resourceName` or `baseURL`).\n */\nexport type AtLeastOne<T> = {\n  [K in keyof T]: Required<Pick<T, K>> & Partial<Omit<T, K>>\n}[keyof T]\n\n/**\n * Standard bearer-auth resolution for providers: honor an explicit `auth`\n * override, otherwise resolve `apiKey` (option > config var) and apply it as\n * a bearer token.\n */\nexport const bearer = (\n  options: ProviderAuthOption<\"optional\">,\n  envVar: string | ReadonlyArray<string>,\n): Auth.Definition => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return (Array.isArray(envVar) ? envVar : [envVar])\n    .reduce(\n      (auth, name) => auth.orElse(Auth.config(name)),\n      Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\"),\n    )\n    .bearer()\n}\n\nexport * as AuthOptions from \"./auth-options\"\n"
+  ],
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+  "debugId": "F21EF78F8F7D625B64756E2164756E21",
+  "names": []
+}

bin/chunk-x3ndjkav.js.map

+{
+  "version": 3,
+  "sources": ["src/run/run.ts", "src/run/noninteractive.ts", "src/run/ui.ts"],
+  "sourcesContent": [
+    "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient, type SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { open } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { readStdin } from \"../util/io\"\nimport { ServerConnection } from \"../services/server-connection\"\nimport { parseSessionTargetModel, resolveSessionTarget } from \"../session-target\"\nimport { toolInlineInfo } from \"@opencode-ai/tui/mini/tool\"\nimport { runNonInteractivePrompt } from \"./noninteractive\"\nimport { UI } from \"./ui\"\n\nexport type RunCommandInput = {\n  server: ServerConnection.Resolved\n  message: string[]\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: string\n  agent?: string\n  format: \"default\" | \"json\"\n  file: string[]\n  title?: string\n  thinking?: boolean\n  auto?: boolean\n}\n\ntype FilePart = {\n  url: string\n  filename: string\n  mime: string\n}\n\ntype Prepared = {\n  directory?: string\n  message: string\n  files: FilePart[]\n}\n\ntype ExecutionOptions = {\n  root?: string\n  directory?: string\n  useServerDirectory?: boolean\n  variant?: string\n  attached?: boolean\n  compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n  constructor(\n    message: string,\n    readonly sessionID?: string,\n  ) {\n    super(message)\n  }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n  return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n  return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n  if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n  const root = options.root ?? process.env.PWD ?? process.cwd()\n  const local = localDirectory(root)\n  const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n  const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n  if (!message?.trim()) fail(\"You must provide a message\")\n  const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n  const prepared = { directory, message, files }\n  return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const explicit = parseRunModel(input.model)\n  const target = await resolveSessionTarget({\n    client,\n    location: prepared.directory ? { directory: prepared.directory } : undefined,\n    continue: input.continue,\n    session: input.session,\n    fork: input.fork,\n    model: explicit\n      ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n      : undefined,\n    agent: input.agent,\n    prepare: async (next) => {\n      const selected =\n        next.model ??\n        (options.variant\n          ? await client.model\n              .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n              .then((result) => result.data)\n          : undefined)\n      const model = selected\n        ? {\n            providerID: selected.providerID,\n            id: selected.id,\n            variant: options.variant ?? (\"variant\" in selected ? selected.variant : undefined),\n          }\n        : undefined\n      if ((options.variant ?? explicit?.variant) && !model)\n        throw new RunTargetError(\"Cannot select a variant before selecting a model\", next.session?.id)\n      return { model, agent: next.agent }\n    },\n  }).catch((error) => {\n    if (!(error instanceof RunTargetError)) throw error\n    reportRunError(input, error.message, error.sessionID)\n    return undefined\n  })\n  if (!target) return\n  const model = target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined\n  const variant = target.model?.variant\n  if (!target.resume && input.title !== undefined) {\n    await client.session.rename({\n      sessionID: target.session.id,\n      title: input.title || prepared.message.slice(0, 50) + (prepared.message.length > 50 ? \"...\" : \"\"),\n    })\n  }\n\n  await runNonInteractivePrompt({\n    client,\n    sessionID: target.session.id,\n    location: target.location,\n    message: prepared.message,\n    files: prepared.files,\n    agent: target.agent,\n    model,\n    variant,\n    thinking: input.thinking ?? false,\n    format: input.format,\n    auto: input.auto ?? false,\n    attached: options.attached ?? true,\n    compatibility: options.compatibility,\n    renderTool: (part) => renderTool(part, target.location.directory),\n    renderToolError: (part) => renderToolError(part, target.location.directory),\n  }).catch((error) => reportRunError(input, errorMessage(error), target.session.id))\n}\n\nexport function mergeInput(message: string | undefined, piped: string | undefined) {\n  if (!message) return piped || undefined\n  if (!piped) return message\n  return message + \"\\n\" + piped\n}\n\nfunction formatMessage(message: string[]) {\n  const value = message.map((part) => (part.includes(\" \") ? `\"${part.replace(/\"/g, '\\\\\"')}\"` : part)).join(\" \")\n  return value || undefined\n}\n\nfunction localDirectory(root: string) {\n  try {\n    process.chdir(root)\n    return process.cwd()\n  } catch {\n    fail(`Failed to change directory to ${root}`)\n  }\n}\n\nexport function parseRunModel(value?: string) {\n  const ref = parseSessionTargetModel(value)\n  if (!ref) return\n  return {\n    model: { providerID: ref.providerID, modelID: ref.id },\n    variant: ref.variant,\n  }\n}\n\nasync function prepareFile(input: string, directory: string, options: ExecutionOptions): Promise<FilePart> {\n  const file = path.resolve(directory, input)\n  const handle = await open(file, \"r\").catch(() => fail(`File not found: ${input}`))\n  try {\n    const stat = await handle.stat()\n    if (options.compatibility === \"v1\" && options.attached && stat.isDirectory())\n      fail(`Cannot attach local directory without a shared filesystem: ${input}`)\n    if (!stat.isFile() || stat.size > ATTACH_FILE_MAX_BYTES)\n      fail(`Cannot attach a directory, special file, or file larger than 10 MiB: ${input}`)\n    const content = Buffer.alloc(Number(stat.size))\n    let offset = 0\n    while (offset < content.length) {\n      const read = await handle.read(content, offset, content.length - offset, offset)\n      if (read.bytesRead === 0) break\n      offset += read.bytesRead\n    }\n    const bytes = content.subarray(0, offset)\n    const detected = FSUtil.mimeType(file)\n    const text = bytes.toString(\"utf8\")\n    const mime =\n      detected.startsWith(\"image/\") || detected === \"application/pdf\"\n        ? detected\n        : !isBinaryContent(bytes) && Buffer.from(text, \"utf8\").equals(bytes)\n          ? \"text/plain\"\n          : detected\n    return {\n      url: `data:${mime};base64,${bytes.toString(\"base64\")}`,\n      filename: path.basename(file),\n      mime,\n    }\n  } finally {\n    await handle.close()\n  }\n}\n\nfunction isBinaryContent(bytes: Uint8Array) {\n  if (bytes.length === 0) return false\n  if (bytes.includes(0)) return true\n  return bytes.reduce((count, byte) => count + Number(byte < 9 || (byte > 13 && byte < 32)), 0) / bytes.length > 0.3\n}\n\nasync function renderTool(part: SessionMessageAssistantTool, directory: string) {\n  const info = toolInlineInfo(part, directory)\n  if (info.mode === \"block\") {\n    UI.empty()\n    UI.println(UI.Style.TEXT_NORMAL + info.icon, UI.Style.TEXT_NORMAL + info.title)\n    if (info.body?.trim()) UI.println(info.body)\n    UI.empty()\n    return\n  }\n  UI.println(\n    UI.Style.TEXT_NORMAL + info.icon,\n    UI.Style.TEXT_NORMAL + info.title,\n    info.description ? UI.Style.TEXT_DIM + info.description + UI.Style.TEXT_NORMAL : \"\",\n  )\n}\n\nasync function renderToolError(part: SessionMessageAssistantTool, directory: string) {\n  const info = toolInlineInfo(part, directory)\n  UI.println(UI.Style.TEXT_NORMAL + \"✗\", UI.Style.TEXT_NORMAL + `${info.title} failed`)\n}\n\nfunction errorMessage(error: unknown) {\n  if (error instanceof Error) return error.message\n  if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\")\n    return error.message\n  return String(error)\n}\n\n/** @internal Used by the V1 command boundary before a Session exists. */\nexport function reportRunError(input: Pick<RunCommandInput, \"format\">, message: string, sessionID?: string) {\n  process.exitCode = 1\n  if (input.format === \"json\") {\n    process.stdout.write(\n      JSON.stringify({\n        type: \"error\",\n        timestamp: Date.now(),\n        sessionID: sessionID ?? \"\",\n        error: { type: \"unknown\", message },\n      }) + \"\\n\",\n    )\n    return\n  }\n  UI.error(message)\n}\n\nfunction fail(message: string): never {\n  throw new Error(message)\n}\n",
+    "import type {\n  EventSubscribeOutput,\n  JsonValue,\n  LocationRef,\n  OpenCodeClient,\n  SessionMessageAssistantTool,\n  SessionMessageInfo,\n  ToolContent,\n} from \"@opencode-ai/client/promise\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { EOL } from \"node:os\"\nimport { readFile } from \"node:fs/promises\"\nimport { nonEmptyToolContent, toolOutputText, type MiniToolPart } from \"@opencode-ai/tui/mini/tool\"\nimport { UI } from \"./ui\"\n\ntype Model = {\n  providerID: string\n  modelID: string\n}\n\ntype File = {\n  url: string\n  filename: string\n  mime: string\n}\n\ntype Input = {\n  client: OpenCodeClient\n  sessionID: string\n  location: LocationRef\n  message: string\n  files: File[]\n  agent?: string\n  model?: Model\n  variant?: string\n  thinking: boolean\n  format: \"default\" | \"json\"\n  auto: boolean\n  /** True when the client is attached to a shared server rather than an exclusive in-process one. */\n  attached: boolean\n  compatibility?: \"v1\"\n  renderTool: (part: SessionMessageAssistantTool) => Promise<void>\n  renderToolError: (part: SessionMessageAssistantTool) => Promise<void>\n}\n\ntype StartedPart = {\n  id: string\n  timestamp: number\n}\n\ntype ToolState = StartedPart & {\n  assistantMessageID: string\n  tool: string\n  input: Record<string, JsonValue>\n  raw?: string\n  provider?: unknown\n  providerState?: SessionMessageAssistantTool[\"providerState\"]\n  metadata: Record<string, JsonValue>\n  content: ToolContent[]\n}\n\ntype V2Event = EventSubscribeOutput\ntype FormRequest = Extract<V2Event, { type: \"form.created\" }>[\"data\"][\"form\"]\n\n// MCP elicitations are temporarily owned by the \"global\" sentinel instead of a real\n// session. An exclusive local process may treat them as this run's blockers; an\n// attached client must not cancel input that may belong to another session.\nconst GLOBAL_FORM_SESSION_ID = \"global\"\n\nexport async function runNonInteractivePrompt(input: Input) {\n  const controller = new AbortController()\n  const stream = input.client.event.subscribe({ signal: controller.signal })[Symbol.asyncIterator]()\n  const connected = await stream.next()\n  if (connected.done) throw new Error(\"Event stream disconnected before prompt admission\")\n\n  const messageID = SessionMessage.ID.create()\n  const starts = new Map<string, StartedPart>()\n  const tools = new Map<string, ToolState>()\n  const renderedText = new Map<string, string>()\n  const renderedReasoning = new Map<string, string>()\n  const renderedTools = new Set<string>()\n  let submitted = false\n  let promoted = false\n  let emittedError = false\n  let permissionRejected = false\n  let formCancelled = false\n  let interrupted = false\n  let v1InvalidOutput = false\n  let prePromotionError: { message: string; [key: string]: unknown } | undefined\n  let finalizing = false\n  let admission: AbortController | undefined\n  let pendingStep: { timestamp: number; part: Record<string, unknown>; label: string } | undefined\n\n  const emit = (type: string, timestamp: number, data: Record<string, unknown>) => {\n    if (input.format !== \"json\") return false\n    process.stdout.write(JSON.stringify({ type, timestamp, sessionID: input.sessionID, ...data }) + EOL)\n    return true\n  }\n\n  const writeText = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n    if (emit(\"text\", timestamp, { part })) return\n    const text = part.text.trim()\n    if (!text) return\n    if (!process.stdout.isTTY) {\n      process.stdout.write(text + EOL)\n      return\n    }\n    UI.empty()\n    UI.println(text)\n    UI.empty()\n  }\n\n  const writeReasoning = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n    if (emit(\"reasoning\", timestamp, { part })) return\n    const text = part.text.trim()\n    if (!text) return\n    const line = `Thinking: ${text}`\n    if (!process.stdout.isTTY) return void process.stdout.write(line + EOL)\n    UI.empty()\n    UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n    UI.empty()\n  }\n\n  const flushStep = () => {\n    if (!pendingStep) return\n    const value = pendingStep\n    pendingStep = undefined\n    if (!emit(\"step_start\", value.timestamp, { part: value.part }) && input.format !== \"json\") {\n      UI.empty()\n      UI.println(value.label)\n      UI.empty()\n    }\n  }\n\n  const replyPermission = async (request: { id: string; action: string; resources: ReadonlyArray<string> }) => {\n    if (!input.auto) {\n      permissionRejected = true\n      UI.println(\n        UI.Style.TEXT_WARNING_BOLD + \"!\",\n        UI.Style.TEXT_NORMAL +\n          `permission requested: ${request.action} (${request.resources.join(\", \")}); auto-rejecting`,\n      )\n    }\n    await input.client.permission\n      .reply({\n        sessionID: input.sessionID,\n        requestID: request.id,\n        reply: input.auto ? \"once\" : \"reject\",\n      })\n      .catch(() => {})\n    if (!input.auto) {\n      await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n    }\n  }\n\n  const cancelForm = async (request: Pick<FormRequest, \"id\" | \"sessionID\">) => {\n    try {\n      await input.client.form.cancel(\n        { sessionID: request.sessionID, formID: request.id },\n        ...formRequestOptions(request.sessionID === GLOBAL_FORM_SESSION_ID ? input.location : undefined),\n      )\n    } catch (error) {\n      if (!formAlreadySettled(error)) throw error\n    }\n    formCancelled = true\n  }\n\n  const consume = async () => {\n    while (!controller.signal.aborted) {\n      const next = await stream.next().catch((error) => {\n        if (!emittedError) throw error\n        return { done: true as const, value: undefined }\n      })\n      if (next.done) {\n        if (emittedError) return\n        throw new Error(\"Event stream disconnected during prompt execution\")\n      }\n      const event = next.value\n\n      if (event.type === \"permission.asked\" && submitted && event.data.sessionID === input.sessionID) {\n        await replyPermission(event.data)\n        continue\n      }\n      if (\n        event.type === \"form.created\" &&\n        submitted &&\n        (event.data.form.sessionID === input.sessionID ||\n          (!input.attached &&\n            event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n            sameLocation(event.location, input.location)))\n      ) {\n        await cancelForm(event.data.form)\n        continue\n      }\n      if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n      const time = toMillis(\"created\" in event ? event.created : undefined)\n\n      if (event.type === \"session.input.promoted\") {\n        if (event.data.inputID === messageID) {\n          promoted = true\n          prePromotionError = undefined\n          continue\n        }\n      }\n      if (\n        event.type === \"session.execution.interrupted\" &&\n        event.data.reason === \"user\" &&\n        (interrupted || permissionRejected || formCancelled)\n      ) {\n        return\n      }\n      if (!promoted && event.type === \"session.execution.failed\") {\n        prePromotionError = event.data.error\n        if (finalizing) return\n        continue\n      }\n      if (\n        !promoted &&\n        finalizing &&\n        (event.type === \"session.execution.succeeded\" || event.type === \"session.execution.interrupted\")\n      )\n        return\n      if (!promoted) continue\n      if (finalizing && !event.type.startsWith(\"session.execution.\")) continue\n\n      if (event.type === \"session.step.started\") {\n        const part = {\n          id: partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"step-start\",\n          snapshot: event.data.snapshot,\n        }\n        if (input.compatibility === \"v1\") {\n          pendingStep = {\n            timestamp: time,\n            part,\n            label: `> ${event.data.agent} · ${event.data.model.id}`,\n          }\n          continue\n        }\n        if (!emit(\"step_start\", time, { part }) && input.format !== \"json\") {\n          UI.empty()\n          UI.println(`> ${event.data.agent} · ${event.data.model.id}`)\n          UI.empty()\n        }\n        continue\n      }\n\n      if (event.type === \"session.text.started\") {\n        flushStep()\n        starts.set(`text\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n          id: partID(event.id),\n          timestamp: time,\n        })\n        continue\n      }\n      if (event.type === \"session.text.ended\") {\n        const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n        const started = starts.get(`text\\u0000${key}`)\n        starts.delete(`text\\u0000${key}`)\n        const part = {\n          id: started?.id ?? partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"text\",\n          text: event.data.text,\n          time: { start: started?.timestamp ?? time, end: time },\n        }\n        renderedText.set(key, event.data.text)\n        writeText(part, time)\n        continue\n      }\n\n      if (event.type === \"session.reasoning.started\") {\n        flushStep()\n        starts.set(`reasoning\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n          id: partID(event.id),\n          timestamp: time,\n        })\n        continue\n      }\n      if (event.type === \"session.reasoning.ended\" && input.thinking) {\n        const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n        const started = starts.get(`reasoning\\u0000${key}`)\n        starts.delete(`reasoning\\u0000${key}`)\n        const part = {\n          id: started?.id ?? partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"reasoning\",\n          text: event.data.text,\n          metadata: event.data.state,\n          time: { start: started?.timestamp ?? time, end: time },\n        }\n        renderedReasoning.set(key, event.data.text)\n        writeReasoning(part, time)\n        continue\n      }\n\n      if (event.type === \"session.tool.input.started\") {\n        flushStep()\n        tools.set(toolKey(event.data.assistantMessageID, event.data.callID), {\n          id: partID(event.id),\n          timestamp: time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: event.data.name,\n          input: {},\n          metadata: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.input.ended\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = event.data.text\n        continue\n      }\n      if (event.type === \"session.tool.input.delta\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n        continue\n      }\n      if (event.type === \"session.tool.called\") {\n        flushStep()\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key)\n        tools.set(key, {\n          id: current?.id ?? partID(event.id),\n          timestamp: current?.timestamp ?? time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: current?.tool ?? \"tool\",\n          input: event.data.input,\n          raw: current?.raw,\n          provider: { executed: event.data.executed, state: event.data.state },\n          providerState: event.data.state,\n          metadata: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.progress\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) {\n          current.metadata = event.data.metadata\n        }\n        continue\n      }\n      if (event.type === \"session.tool.success\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            metadata: event.data.metadata,\n            content: event.data.content,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            output: toolOutputText(current.tool, event.data.content),\n            title: current.tool,\n            metadata: {\n              metadata: event.data.metadata,\n              content: event.data.content,\n              providerCall: current.provider,\n              providerResult: { executed: event.data.executed, state: event.data.resultState },\n              rawInput: current.raw,\n            },\n            time: { start: current.timestamp, end: time },\n          },\n        }\n        tools.delete(key)\n        renderedTools.add(key)\n        if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n        continue\n      }\n      if (event.type === \"session.tool.failed\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const error = event.data.error.message\n        const metadata = event.data.metadata ?? current.metadata\n        const content = event.data.content ?? nonEmptyToolContent(current.content)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"error\",\n            input: current.input,\n            metadata,\n            content,\n            error: event.data.error,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"error\",\n            input: current.input,\n            error,\n            metadata: {\n              providerCall: current.provider,\n              providerResult: { executed: event.data.executed, state: event.data.resultState },\n              rawInput: current.raw,\n            },\n            time: { start: current.timestamp, end: time },\n          },\n        }\n        tools.delete(key)\n        renderedTools.add(key)\n        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n        if (!emit(\"tool_use\", time, { part })) {\n          if (content && toolOutputText(current.tool, content).trim())\n            await input.renderTool({\n              ...tool,\n              state: {\n                status: \"completed\",\n                input: current.input,\n                metadata,\n                content,\n              },\n            })\n          await input.renderToolError(tool)\n          UI.error(error)\n        }\n        continue\n      }\n\n      if (event.type === \"session.step.ended\") {\n        flushStep()\n        const part = {\n          id: partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"step-finish\",\n          reason: event.data.finish,\n          snapshot: event.data.snapshot,\n          cost: event.data.cost,\n          tokens: event.data.tokens,\n        }\n        emit(\"step_finish\", time, { part })\n        continue\n      }\n      if (event.type === \"session.step.failed\") {\n        if (\n          input.compatibility === \"v1\" &&\n          event.data.error.message === \"Provider stream ended without a terminal finish event\"\n        ) {\n          pendingStep = undefined\n          v1InvalidOutput = true\n          continue\n        }\n        if (interrupted || permissionRejected || formCancelled) continue\n        flushStep()\n        emittedError = true\n        process.exitCode = 1\n        if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        continue\n      }\n      if (event.type === \"session.execution.failed\") {\n        if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n        flushStep()\n        if (!emittedError && !formCancelled) {\n          emittedError = true\n          process.exitCode = 1\n          if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.interrupted\") {\n        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n        if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n        if (event.data.reason !== \"user\" && !emittedError) {\n          emittedError = true\n          process.exitCode = 1\n          const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n          if (!emit(\"error\", time, { error })) UI.error(error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.succeeded\") return\n    }\n  }\n\n  const projectedMessages = async () => {\n    const messages: SessionMessageInfo[] = []\n    let cursor: string | undefined\n    while (true) {\n      const page = await input.client.message.list(\n        cursor\n          ? { sessionID: input.sessionID, limit: 200, cursor }\n          : { sessionID: input.sessionID, limit: 200, order: \"desc\" },\n      )\n      for (const message of page.data) {\n        if (message.id === messageID) return { found: true, messages: messages.toReversed() }\n        messages.push(message)\n      }\n      cursor = page.cursor.next ?? undefined\n      if (!cursor) return { found: false, messages: [] }\n    }\n  }\n\n  const reconcile = async () => {\n    const projected = await projectedMessages()\n    for (const message of projected.messages) {\n      if (message.type !== \"assistant\") continue\n      const timestamp = message.time.completed ?? message.time.created\n      let textOrdinal = 0\n      let reasoningOrdinal = 0\n      for (const item of message.content) {\n        if (item.type === \"text\") {\n          const ordinal = textOrdinal++\n          const key = contentKey(message.id, ordinal)\n          const rendered = renderedText.get(key) ?? \"\"\n          if (rendered === item.text || !item.text.startsWith(rendered)) continue\n          const text = item.text.slice(rendered.length)\n          writeText(\n            {\n              id: projectedPartID(message.id, `text-${ordinal}`),\n              sessionID: input.sessionID,\n              messageID: message.id,\n              type: \"text\",\n              text,\n              time: { start: message.time.created, end: timestamp },\n            },\n            timestamp,\n          )\n          renderedText.set(key, item.text)\n          continue\n        }\n        if (item.type === \"reasoning\") {\n          const ordinal = reasoningOrdinal++\n          if (!input.thinking) continue\n          const key = contentKey(message.id, ordinal)\n          const rendered = renderedReasoning.get(key) ?? \"\"\n          if (rendered === item.text || !item.text.startsWith(rendered)) continue\n          const text = item.text.slice(rendered.length)\n          const part = {\n            id: projectedPartID(message.id, `reasoning-${ordinal}`),\n            sessionID: input.sessionID,\n            messageID: message.id,\n            type: \"reasoning\",\n            text,\n            metadata: item.state,\n            time: { start: message.time.created, end: timestamp },\n          }\n          renderedReasoning.set(key, item.text)\n          writeReasoning(part, timestamp)\n          continue\n        }\n\n        const key = toolKey(message.id, item.id)\n        if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n        const part: MiniToolPart = {\n          id: projectedPartID(message.id, `tool-${item.id}`),\n          sessionID: input.sessionID,\n          messageID: message.id,\n          type: \"tool\",\n          callID: item.id,\n          tool: item.name,\n          state:\n            item.state.status === \"completed\"\n              ? {\n                  status: \"completed\",\n                  input: item.state.input,\n                  output: toolOutputText(item.name, item.state.content),\n                  title: item.name,\n                  metadata: { metadata: item.state.metadata, content: item.state.content },\n                  time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n                }\n              : {\n                  status: \"error\",\n                  input: item.state.input,\n                  error: item.state.error.message,\n                  metadata: { metadata: item.state.metadata, content: item.state.content },\n                  time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n                },\n        }\n        renderedTools.add(key)\n        if (emit(\"tool_use\", timestamp, { part })) continue\n        if (item.state.status === \"completed\") {\n          await input.renderTool(item)\n          continue\n        }\n        if (item.state.content && toolOutputText(item.name, item.state.content).trim()) {\n          await input.renderTool({\n            ...item,\n            state: {\n              status: \"completed\",\n              input: item.state.input,\n              metadata: item.state.metadata,\n              content: item.state.content,\n            },\n          })\n        }\n        await input.renderToolError(item)\n        UI.error(item.state.error.message)\n      }\n\n      if (message.error && !emittedError) {\n        emittedError = true\n        process.exitCode = 1\n        if (!emit(\"error\", timestamp, { error: message.error })) UI.error(message.error.message)\n      }\n    }\n    return {\n      found: projected.found,\n      responded: projected.messages.some((message) => message.type === \"assistant\"),\n    }\n  }\n\n  const interrupt = () => {\n    if (interrupted) process.exit(130)\n    interrupted = true\n    process.exitCode = 130\n    admission?.abort()\n    void input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n  }\n  process.on(\"SIGINT\", interrupt)\n\n  let completed: Promise<void> | undefined\n  try {\n    if (input.agent) {\n      await input.client.session.switchAgent({ sessionID: input.sessionID, agent: input.agent })\n    }\n    const selected = input.model\n      ? { providerID: input.model.providerID, id: input.model.modelID, variant: input.variant }\n      : input.variant\n        ? await input.client.session\n            .get({ sessionID: input.sessionID })\n            .then((result) => result.model)\n            .then(async (model) => {\n              if (model) return { ...model, variant: input.variant }\n              const result = await input.client.model.default()\n              const fallback = result.data\n              return fallback ? { providerID: fallback.providerID, id: fallback.id, variant: input.variant } : undefined\n            })\n        : undefined\n    if (input.variant && !selected) throw new Error(\"Cannot select a variant before selecting a model\")\n    if (selected) {\n      await input.client.session.switchModel({ sessionID: input.sessionID, model: selected })\n    }\n\n    const prepared = await Promise.all(input.files.map(prepareFile))\n    if (interrupted) return\n    submitted = true\n    completed = consume()\n    admission = new AbortController()\n    const response = await input.client.session\n      .prompt(\n        {\n          sessionID: input.sessionID,\n          id: messageID,\n          text: [input.message, ...prepared.flatMap((file) => (file.text ? [file.text] : []))].join(\"\\n\\n\"),\n          files: prepared.flatMap((file) => (file.attachment ? [file.attachment] : [])),\n          delivery: \"steer\",\n        },\n        { signal: admission.signal },\n      )\n      .catch(async (error) => {\n        if (interrupted) {\n          await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n        }\n        controller.abort()\n        await completed?.catch(() => {})\n        if (interrupted || emittedError) return undefined\n        throw error\n      })\n    admission = undefined\n    if (!response) return\n    if (interrupted) await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n\n    const [permissions, forms, globals] = await Promise.all([\n      input.client.permission.list({ sessionID: input.sessionID }).catch(() => undefined),\n      input.client.form.list({ sessionID: input.sessionID }).catch(() => undefined),\n      input.attached\n        ? Promise.resolve(undefined)\n        : input.client.form.request\n            .list({\n              location: { directory: input.location.directory, workspace: input.location.workspaceID },\n            })\n            .catch(() => undefined),\n    ])\n    await Promise.all([\n      ...(permissions ?? []).map(replyPermission),\n      ...(forms ?? []).map(cancelForm),\n      ...(globals && sameLocation(globals.location, input.location)\n        ? globals.data.filter((form) => form.sessionID === GLOBAL_FORM_SESSION_ID).map(cancelForm)\n        : []),\n    ])\n    if (input.compatibility === \"v1\") {\n      await completed\n      return\n    }\n\n    const waiting = input.client.session.wait({ sessionID: input.sessionID })\n    await Promise.race([waiting, completed.then(() => waiting)])\n    finalizing = true\n    const projected = await reconcile()\n    if (\n      !projected.responded &&\n      !interrupted &&\n      !permissionRejected &&\n      !formCancelled &&\n      !emittedError &&\n      !prePromotionError\n    ) {\n      await completed\n    }\n    if (!projected.found && !interrupted && !permissionRejected && !formCancelled && !emittedError) {\n      const error = prePromotionError ?? { type: \"unknown\", message: \"Prompt was not promoted\" }\n      emittedError = true\n      process.exitCode = 1\n      if (!emit(\"error\", Date.now(), { error })) UI.error(error.message)\n    }\n  } finally {\n    process.off(\"SIGINT\", interrupt)\n    controller.abort()\n    if (input.compatibility === \"v1\") await stream.return?.(undefined).catch(() => {})\n    else void stream.return?.(undefined).catch(() => {})\n  }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n  return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n  if (!location) return []\n  return [\n    {\n      headers: {\n        \"x-opencode-directory\": encodeURIComponent(location.directory),\n        ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n      },\n    },\n  ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n  return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n  return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, callID: string) {\n  return `${messageID}\\u0000${callID}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n  return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n  return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n  id: string\n  created: number\n  data: { assistantMessageID: string; callID: string }\n}): ToolState {\n  return {\n    id: partID(event.id),\n    timestamp: toMillis(event.created),\n    assistantMessageID: event.data.assistantMessageID,\n    tool: \"tool\",\n    input: {},\n    metadata: {},\n    content: [],\n  }\n}\n\nfunction toMillis(value: unknown) {\n  if (typeof value === \"number\") return value\n  if (typeof value === \"string\") return new Date(value).getTime()\n  return Date.now()\n}\n\nasync function prepareFile(file: File) {\n  if (file.mime !== \"text/plain\") {\n    const uri = file.url.startsWith(\"data:\")\n      ? file.url\n      : `data:${file.mime};base64,${(await readFile(new URL(file.url))).toString(\"base64\")}`\n    return { attachment: { uri, name: file.filename } }\n  }\n  const content = file.url.startsWith(\"data:\")\n    ? Buffer.from(file.url.slice(file.url.indexOf(\",\") + 1), \"base64\").toString(\"utf8\")\n    : await readFile(new URL(file.url), \"utf8\")\n  return { text: `<file name=\"${file.filename}\">\\n${content}\\n</file>` }\n}\n",
+    "import { EOL } from \"node:os\"\n\nexport const Style = {\n  TEXT_DIM: \"\\x1b[90m\",\n  TEXT_NORMAL: \"\\x1b[0m\",\n  TEXT_WARNING_BOLD: \"\\x1b[93m\\x1b[1m\",\n  TEXT_DANGER_BOLD: \"\\x1b[91m\\x1b[1m\",\n}\n\nexport function println(...message: string[]) {\n  process.stderr.write(message.join(\" \") + EOL)\n}\n\nlet blank = false\n\nexport function empty() {\n  if (blank) return\n  println(Style.TEXT_NORMAL)\n  blank = true\n}\n\nexport function error(message: string) {\n  if (message.startsWith(\"Error: \")) message = message.slice(\"Error: \".length)\n  println(Style.TEXT_DANGER_BOLD + \"Error: \" + Style.TEXT_NORMAL + message)\n}\n\nexport * as UI from \"./ui\"\n"
+  ],
+  "mappings": 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+  "debugId": "3E4CC90527D27EA764756E2164756E21",
+  "names": []
+}

bin/chunk-x509qvpp.js.map

+{
+  "version": 3,
+  "sources": ["../util/src/bom.ts", "../util/src/patch.ts"],
+  "sourcesContent": [
+    "export * as Bom from \"./bom.js\"\n\nimport { Effect } from \"effect\"\nimport { FSUtil } from \"./fs-util.js\"\n\nconst code = 0xfeff\nconst value = String.fromCharCode(code)\n\nexport function split(text: string) {\n  const stripped = text.replace(/^\\uFEFF+/, \"\")\n  return { bom: stripped.length !== text.length, text: stripped }\n}\n\nexport function join(text: string, bom: boolean) {\n  const stripped = split(text).text\n  return bom ? value + stripped : stripped\n}\n\nexport function has(content: Uint8Array) {\n  return content[0] === 0xef && content[1] === 0xbb && content[2] === 0xbf\n}\n\nexport const readFile = Effect.fn(\"Bom.readFile\")(function* (fs: FSUtil.Interface, filepath: string) {\n  return split(decode(yield* fs.readFile(filepath)))\n})\n\nexport const syncFile = Effect.fn(\"Bom.syncFile\")(function* (fs: FSUtil.Interface, filepath: string, bom: boolean) {\n  const decoded = decode(yield* fs.readFile(filepath))\n  const current = split(decoded)\n  const canonical = join(current.text, bom)\n  if (decoded === canonical) return current.text\n  yield* fs.writeWithDirs(filepath, canonical)\n  return current.text\n})\n\nfunction decode(content: Uint8Array) {\n  return new TextDecoder(\"utf-8\", { ignoreBOM: true }).decode(content)\n}\n",
+    "export * as Patch from \"./patch.js\"\n\nimport { Result, Schema } from \"effect\"\nimport { Bom } from \"./bom.js\"\n\nexport class BoundaryError extends Schema.TaggedErrorClass<BoundaryError>()(\"Patch.BoundaryError\", {\n  boundary: Schema.Literals([\"first\", \"last\"]),\n}) {\n  override get message() {\n    return `The ${this.boundary} line of the patch must be '${this.boundary === \"first\" ? \"*** Begin Patch\" : \"*** End Patch\"}'`\n  }\n}\n\nexport class InvalidHunkError extends Schema.TaggedErrorClass<InvalidHunkError>()(\"Patch.InvalidHunkError\", {\n  line: Schema.String,\n  lineNumber: Schema.Number,\n  reason: Schema.optional(Schema.String),\n}) {\n  override get message() {\n    if (this.reason) return `Invalid hunk at line ${this.lineNumber}: ${this.reason}`\n    return `Invalid hunk at line ${this.lineNumber}: '${this.line}' is not a valid hunk header. Valid hunk headers: '*** Add File: {path}', '*** Delete File: {path}', '*** Update File: {path}'`\n  }\n}\n\nexport type ParseError = BoundaryError | InvalidHunkError\n\nexport type Hunk =\n  | { readonly type: \"add\"; readonly path: string; readonly contents: string }\n  | { readonly type: \"delete\"; readonly path: string }\n  | {\n      readonly type: \"update\"\n      readonly path: string\n      readonly movePath?: string\n      readonly chunks: ReadonlyArray<UpdateFileChunk>\n    }\n\nexport interface UpdateFileChunk {\n  readonly oldLines: ReadonlyArray<string>\n  readonly newLines: ReadonlyArray<string>\n  readonly changeContext?: string\n  readonly endOfFile?: boolean\n}\n\nexport interface FileUpdate {\n  readonly content: string\n  readonly bom: boolean\n}\n\nexport function parse(patchText: string): Result.Result<ReadonlyArray<Hunk>, ParseError> {\n  const lines = stripHeredoc(patchText.trim())\n    .split(\"\\n\")\n    .map((line) => (line.endsWith(\"\\r\") ? line.slice(0, -1) : line))\n  const begin = lines[0]?.trim() === \"*** Begin Patch\" ? 0 : -1\n  const end = lines.at(-1)?.trim() === \"*** End Patch\" ? lines.length - 1 : -1\n  if (begin === -1) return Result.fail(new BoundaryError({ boundary: \"first\" }))\n  if (end === -1 || begin >= end) return Result.fail(new BoundaryError({ boundary: \"last\" }))\n\n  const hunks: Hunk[] = []\n  let index = begin + 1\n  while (index < end) {\n    const line = lines[index]!\n    const header = line.trim()\n    if (\n      index === begin + 1 &&\n      header.startsWith(\"*** Environment ID:\") &&\n      header.slice(\"*** Environment ID:\".length).trim()\n    ) {\n      index++\n      continue\n    }\n    if (header.startsWith(\"*** Add File: \")) {\n      const path = header.slice(\"*** Add File: \".length).trim()\n      const parsed = parseAdd(lines, index + 1, end, path)\n      if (\"error\" in parsed) return Result.fail(parsed.error)\n      hunks.push({ type: \"add\", path, contents: parsed.content })\n      index = parsed.next\n      continue\n    }\n    if (header.startsWith(\"*** Delete File: \")) {\n      const path = header.slice(\"*** Delete File: \".length).trim()\n      const next = lines[index + 1]?.trim()\n      if (index + 1 < end && next !== undefined && !isBoundary(next)) {\n        if (next.startsWith(\"*** \")) {\n          return Result.fail(new InvalidHunkError({ line: next, lineNumber: index + 2 }))\n        }\n        return Result.fail(\n          new InvalidHunkError({\n            line: next,\n            lineNumber: index + 2,\n            reason: `Unexpected line after Delete File '${path}': '${next}'. Delete hunks do not contain body lines`,\n          }),\n        )\n      }\n      hunks.push({ type: \"delete\", path })\n      index++\n      continue\n    }\n    if (header.startsWith(\"*** Update File: \")) {\n      const path = header.slice(\"*** Update File: \".length).trim()\n      let next = index + 1\n      let movePath: string | undefined\n      while (lines[next]?.trimEnd() === \"*** End of File\") next++\n      const move = lines[next]?.trimEnd()\n      if (move === \"*** Move to:\" || move?.startsWith(\"*** Move to: \")) {\n        movePath = move.slice(\"*** Move to: \".length).trim()\n        if (!movePath) {\n          return Result.fail(\n            new InvalidHunkError({\n              line: lines[next]!.trim(),\n              lineNumber: next + 1,\n              reason: `Move destination for '${path}' must not be empty`,\n            }),\n          )\n        }\n        next++\n      }\n      const parsed = parseUpdate(lines, next, end, path, index)\n      if (\"error\" in parsed) return Result.fail(parsed.error)\n      hunks.push({ type: \"update\", path, movePath, chunks: parsed.chunks })\n      index = parsed.next\n      continue\n    }\n    return Result.fail(new InvalidHunkError({ line: header, lineNumber: index + 1 }))\n  }\n  return Result.succeed(hunks)\n}\n\nexport function derive(path: string, chunks: ReadonlyArray<UpdateFileChunk>, original: string): FileUpdate {\n  const source = Bom.split(original)\n  const lines = source.text.split(\"\\n\")\n  if (lines.at(-1) === \"\") lines.pop()\n  const replacements = computeReplacements(lines, path, chunks)\n  const updated = [...lines]\n  for (const [start, remove, insert] of replacements.toReversed()) updated.splice(start, remove, ...insert)\n  if (updated.at(-1) !== \"\") updated.push(\"\")\n  const next = Bom.split(updated.join(\"\\n\"))\n  return { content: next.text, bom: source.bom || next.bom }\n}\n\nexport function joinBom(text: string, bom: boolean) {\n  return Bom.join(text, bom)\n}\n\nfunction parseAdd(\n  lines: ReadonlyArray<string>,\n  start: number,\n  end: number,\n  path: string,\n): { content: string; next: number } | { error: InvalidHunkError } {\n  const content: string[] = []\n  let index = start\n  while (index < end && !isBoundary(lines[index]!.trim())) {\n    if (!lines[index]!.startsWith(\"+\")) {\n      const line = lines[index]!.trim()\n      return {\n        error: new InvalidHunkError({\n          line,\n          lineNumber: index + 1,\n          reason: `Invalid Add File line for '${path}': expected a line starting with '+', got '${line}'`,\n        }),\n      }\n    }\n    content.push(lines[index]!.slice(1))\n    index++\n  }\n  return { content: content.join(\"\\n\"), next: index }\n}\n\nfunction parseUpdate(\n  lines: ReadonlyArray<string>,\n  start: number,\n  end: number,\n  path: string,\n  hunk: number,\n): { chunks: ReadonlyArray<UpdateFileChunk>; next: number } | { error: InvalidHunkError } {\n  const chunks: Array<{\n    oldLines: string[]\n    newLines: string[]\n    changeContext?: string\n    endOfFile?: boolean\n  }> = []\n  let index = start\n  let afterEndOfFile = false\n  while (index < end) {\n    const line = lines[index]!\n    const updateLine = line.trimEnd()\n    if (afterEndOfFile) {\n      if (updateLine === \"\") {\n        index++\n        continue\n      }\n      if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) afterEndOfFile = false\n      else if (isBoundary(updateLine)) break\n      else {\n        return {\n          error: new InvalidHunkError({\n            line,\n            lineNumber: index + 1,\n            reason: `Expected update hunk to start with a @@ context marker, got: '${line}'`,\n          }),\n        }\n      }\n    }\n    if (updateLine === \"*** End of File\") {\n      const chunk = chunks.at(-1)\n      if (chunk && chunk.oldLines.length === 0 && chunk.newLines.length === 0) {\n        return {\n          error: new InvalidHunkError({\n            line: updateLine,\n            lineNumber: index + 1,\n            reason: \"Update hunk does not contain any lines\",\n          }),\n        }\n      }\n      if (chunk) {\n        chunk.endOfFile = true\n        afterEndOfFile = true\n      }\n      index++\n      continue\n    }\n    if (isBoundary(updateLine)) break\n    if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) {\n      const previous = chunks.at(-1)\n      if (previous && previous.oldLines.length === 0 && previous.newLines.length === 0) {\n        return {\n          error: new InvalidHunkError({\n            line,\n            lineNumber: index + 1,\n            reason: `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n          }),\n        }\n      }\n      chunks.push({\n        oldLines: [],\n        newLines: [],\n        changeContext: updateLine === \"@@\" ? undefined : updateLine.slice(\"@@ \".length),\n      })\n      index++\n      continue\n    }\n    if (chunks.length === 0) chunks.push({ oldLines: [], newLines: [] })\n    const chunk = chunks.at(-1)!\n    if (line === \"\") {\n      chunk.oldLines.push(\"\")\n      chunk.newLines.push(\"\")\n      index++\n      continue\n    }\n    if (line.startsWith(\" \")) {\n      chunk.oldLines.push(line.slice(1))\n      chunk.newLines.push(line.slice(1))\n      index++\n      continue\n    }\n    if (line.startsWith(\"-\")) {\n      chunk.oldLines.push(line.slice(1))\n      index++\n      continue\n    }\n    if (line.startsWith(\"+\")) {\n      chunk.newLines.push(line.slice(1))\n      index++\n      continue\n    }\n    const populated = chunk.oldLines.length > 0 || chunk.newLines.length > 0\n    return {\n      error: new InvalidHunkError({\n        line,\n        lineNumber: index + 1,\n        reason: populated\n          ? `Expected update hunk to start with a @@ context marker, got: '${line}'`\n          : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n      }),\n    }\n  }\n  if (chunks.length === 0) {\n    return {\n      error: new InvalidHunkError({\n        line: lines[hunk]!.trim(),\n        lineNumber: hunk + 1,\n        reason: `Update file hunk for path '${path}' is empty`,\n      }),\n    }\n  }\n  const last = chunks.at(-1)!\n  if (last.oldLines.length === 0 && last.newLines.length === 0) {\n    const line = lines[index]!.trim()\n    return {\n      error: new InvalidHunkError({\n        line,\n        lineNumber: index + 1,\n        reason:\n          line === \"*** End Patch\"\n            ? \"Update hunk does not contain any lines\"\n            : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n      }),\n    }\n  }\n  return { chunks, next: index }\n}\n\nfunction isBoundary(line: string) {\n  return (\n    line === \"*** End Patch\" ||\n    line.startsWith(\"*** Add File: \") ||\n    line.startsWith(\"*** Delete File: \") ||\n    line.startsWith(\"*** Update File: \")\n  )\n}\n\nfunction computeReplacements(lines: ReadonlyArray<string>, path: string, chunks: ReadonlyArray<UpdateFileChunk>) {\n  const replacements: Array<readonly [start: number, remove: number, insert: ReadonlyArray<string>]> = []\n  let lineIndex = 0\n  for (const chunk of chunks) {\n    if (chunk.changeContext) {\n      const context = seek(lines, [chunk.changeContext], lineIndex)\n      if (context === -1) throw new Error(`Failed to find context '${chunk.changeContext}' in ${path}`)\n      lineIndex = context + 1\n    }\n    if (chunk.oldLines.length === 0) {\n      replacements.push([lines.length, 0, chunk.newLines])\n      continue\n    }\n    let oldLines = chunk.oldLines\n    let newLines = chunk.newLines\n    let found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n    if (found === -1 && oldLines.at(-1) === \"\") {\n      oldLines = oldLines.slice(0, -1)\n      if (newLines.at(-1) === \"\") newLines = newLines.slice(0, -1)\n      found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n    }\n    if (found === -1 && chunk.oldLines.every((line) => line === \"\")) {\n      const expected =\n        chunk.oldLines.length === 1 ? \"an expected blank line\" : `${chunk.oldLines.length} consecutive blank lines`\n      throw new Error(`Failed to find ${expected} in ${path}`)\n    }\n    if (found === -1) throw new Error(`Failed to find expected lines in ${path}:\\n${chunk.oldLines.join(\"\\n\")}`)\n    replacements.push([found, oldLines.length, newLines])\n    lineIndex = found + oldLines.length\n  }\n  return replacements.toSorted((left, right) => left[0] - right[0])\n}\n\nfunction seek(lines: ReadonlyArray<string>, pattern: ReadonlyArray<string>, start: number, eof = false) {\n  if (pattern.length === 0) return -1\n  if (eof) {\n    const offset = lines.length - pattern.length\n    if (offset < start) return -1\n    for (const compare of [exact, rstrip, trim, normalized]) {\n      if (matches(lines, pattern, offset, compare)) return offset\n    }\n    return -1\n  }\n  for (const compare of [exact, rstrip, trim, normalized]) {\n    for (let offset = start; offset <= lines.length - pattern.length; offset++) {\n      if (matches(lines, pattern, offset, compare)) return offset\n    }\n  }\n  return -1\n}\n\nfunction matches(\n  lines: ReadonlyArray<string>,\n  pattern: ReadonlyArray<string>,\n  offset: number,\n  compare: (left: string, right: string) => boolean,\n) {\n  return pattern.every((line, index) => compare(lines[offset + index]!, line))\n}\n\nconst exact = (left: string, right: string) => left === right\nconst rstrip = (left: string, right: string) => left.trimEnd() === right.trimEnd()\nconst trim = (left: string, right: string) => left.trim() === right.trim()\nconst normalized = (left: string, right: string) => normalize(left.trim()) === normalize(right.trim())\nconst normalize = (value: string) =>\n  value\n    .replace(/[‘’‚‛]/g, \"'\")\n    .replace(/[“”„‟]/g, '\"')\n    .replace(/[‐‑‒–—―−]/g, \"-\")\n    .replace(/[\\u00A0\\u2002-\\u200A\\u202F\\u205F\\u3000]/g, \" \")\nconst stripHeredoc = (input: string) => input.match(/^(?:cat\\s+)?<<(['\"]?)(\\w+)\\1\\s*\\n([\\s\\S]*?)\\n\\2\\s*$/)?.[3] ?? input\n"
+  ],
+  "mappings": 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+  "debugId": "71F3FE087FEFB89B64756E2164756E21",
+  "names": []
+}

bin/chunk-xnypj5vx.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/unset.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.unset,\n  Effect.fn(\"cli.service.unset\")(function* (input) {\n    yield* ServiceConfig.unset(input.key)\n  }),\n)\n"
+  ],
+  "mappings": ";k0BAKA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,WACnC,OAAO,QAAG,wBAAmB,OAAE,cAAU,MAAC,OAAO,MAC/C,WAAO,OAAc,WAAM,OAAM,QAAG,OACrC,CACH",
+  "debugId": "009ABB7F32AEB70264756E2164756E21",
+  "names": []
+}

bin/chunk-ye3xykrb.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/api.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nconst methods = new Set([\"delete\", \"get\", \"head\", \"options\", \"patch\", \"post\", \"put\"])\n\ntype Operation = {\n  operationId?: string\n}\n\ntype OpenApi = {\n  paths?: Record<string, Record<string, Operation>>\n}\n\nexport default Runtime.handler(\n  Commands.commands.api,\n  Effect.fn(\"cli.api\")(function* (input) {\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n      mismatch: \"ignore\",\n    })\n    const endpoint = server.endpoint\n    const params = Option.getOrElse(input.param, () => ({}))\n    const request = yield* resolveRequest(endpoint, input.request, params)\n    const headers = new Headers(Service.headers(endpoint))\n    for (const header of input.header) {\n      const index = header.indexOf(\":\")\n      if (index < 1) return yield* Effect.fail(new Error(`Invalid header, expected name:value: ${header}`))\n      headers.set(header.slice(0, index).trim(), header.slice(index + 1).trim())\n    }\n    const body = Option.getOrUndefined(input.data)\n    if (body !== undefined && !headers.has(\"content-type\")) headers.set(\"content-type\", \"application/json\")\n\n    const response = yield* Effect.tryPromise(() =>\n      fetch(new URL(request.path, endpoint.url), {\n        method: request.method,\n        headers,\n        body,\n      }),\n    )\n    const output = yield* Effect.promise(() => response.text())\n    if (output) process.stdout.write(output + (output.endsWith(EOL) ? \"\" : EOL))\n  }),\n)\n\nexport function resolveOperation(spec: OpenApi, operationID: string, params: Record<string, string>) {\n  for (const [path, operations] of Object.entries(spec.paths ?? {})) {\n    for (const [method, operation] of Object.entries(operations)) {\n      if (!methods.has(method) || operation.operationId !== operationID) continue\n      return { method: method.toUpperCase(), path: interpolate(path, params) }\n    }\n  }\n  throw new Error(`Operation not found: ${operationID}`)\n}\n\nexport function rawRequest(input: readonly string[]) {\n  if (input.length !== 2 || !methods.has(input[0].toLowerCase()) || !input[1].startsWith(\"/\")) return\n  return { method: input[0].toUpperCase(), path: input[1] }\n}\n\nfunction resolveRequest(endpoint: Endpoint, input: readonly string[], params: Record<string, string>) {\n  const raw = rawRequest(input)\n  if (raw) return Effect.succeed(raw)\n  if (input.length !== 1) return Effect.fail(new Error(\"Expected an operation name or an HTTP method and path\"))\n  return Effect.tryPromise(async () => {\n    const response = await fetch(new URL(\"/openapi.json\", endpoint.url), { headers: Service.headers(endpoint) })\n    if (!response.ok) throw new Error(`Failed to load OpenAPI document: HTTP ${response.status}`)\n    return resolveOperation((await response.json()) as OpenApi, input[0], params)\n  })\n}\n\nfunction interpolate(path: string, params: Record<string, string>) {\n  const used = new Set<string>()\n  const pathname = path.replaceAll(/\\{([^}]+)\\}/g, (_, name: string) => {\n    const value = params[name]\n    if (value === undefined) throw new Error(`Missing path parameter: ${name}`)\n    used.add(name)\n    return encodeURIComponent(value)\n  })\n  const query = new URLSearchParams(Object.entries(params).filter(([name]) => !used.has(name))).toString()\n  return query ? `${pathname}?${query}` : pathname\n}\n"
+  ],
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+  "debugId": "F2D6BCD4F0E4487164756E2164756E21",
+  "names": []
+}

bin/chunk-yrw44es9.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openrouter.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport { ProviderID, type CacheHint, type ModelID, type ProviderOptions } from \"../schema\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache\"\nimport { isRecord } from \"../protocols/shared\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\ntype OpenRouterString<Known extends string> = Known | (string & {})\n\nexport interface OpenRouterProviderRouting {\n  readonly [key: string]: unknown\n  readonly order?: ReadonlyArray<string>\n  readonly allow_fallbacks?: boolean\n  readonly require_parameters?: boolean\n  readonly data_collection?: OpenRouterString<\"allow\" | \"deny\">\n  readonly only?: ReadonlyArray<string>\n  readonly ignore?: ReadonlyArray<string>\n  readonly quantizations?: ReadonlyArray<string>\n  readonly sort?: OpenRouterString<\"price\" | \"throughput\" | \"latency\">\n  readonly max_price?: Readonly<{\n    prompt?: number | string\n    completion?: number | string\n    image?: number | string\n    audio?: number | string\n    request?: number | string\n  }>\n  readonly zdr?: boolean\n}\n\nexport type OpenRouterPlugin =\n  | Readonly<{\n      id: \"web\"\n      max_results?: number\n      search_prompt?: string\n      engine?: OpenRouterString<\"native\" | \"exa\">\n    }>\n  | Readonly<{ id: \"file-parser\"; max_files?: number; pdf?: { engine?: string } }>\n  | Readonly<{ id: \"moderation\" }>\n  | Readonly<{ id: \"response-healing\" }>\n  | Readonly<{ id: \"auto-router\"; allowed_models?: ReadonlyArray<string> }>\n  | Readonly<{ id: string & {}; [key: string]: unknown }>\n\nexport interface OpenRouterOptions {\n  readonly [key: string]: unknown\n  readonly debug?: Readonly<{ echo_upstream_body?: boolean }>\n  readonly models?: ReadonlyArray<string>\n  readonly plugins?: ReadonlyArray<OpenRouterPlugin>\n  readonly promptCacheKey?: string\n  readonly provider?: OpenRouterProviderRouting\n  readonly reasoning?: Readonly<{\n    enabled?: boolean\n    exclude?: boolean\n    effort?: OpenRouterString<\"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\">\n    max_tokens?: number\n  }>\n  readonly usage?: boolean | Readonly<{ include: boolean }>\n  readonly user?: string\n  readonly web_search_options?: Readonly<{\n    max_results?: number\n    search_prompt?: string\n    engine?: OpenRouterString<\"native\" | \"exa\">\n  }>\n}\n\nexport type OpenRouterProviderOptionsInput = ProviderOptions & {\n  readonly openrouter?: OpenRouterOptions\n}\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: OpenRouterProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: OpenRouterProviderOptionsInput\n}\n\nconst OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [\n  Schema.Record(Schema.String, Schema.Any),\n])\nexport type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>\n\nexport const protocol = Protocol.make({\n  id: \"openrouter-chat\",\n  body: {\n    schema: OpenRouterBody,\n    from: (request) =>\n      OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(\n        Effect.map((body) => {\n          const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n          let assistantIndex = 0\n          const messages = body.messages.map((message) => {\n            if (message.role !== \"assistant\") return message\n            const source = sourceAssistants[assistantIndex++]\n            const reasoning = source?.content\n              .filter((part) => part.type === \"reasoning\")\n              .map((part) => part.text)\n              .join(\"\")\n            const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n            return {\n              ...message,\n              reasoning_content: undefined,\n              reasoning_text: undefined,\n              reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n              reasoning_details: reasoningDetails,\n            }\n          })\n          return {\n            ...body,\n            messages,\n            ...bodyOptions(request.providerOptions?.openrouter),\n          } as OpenRouterBody\n        }),\n      ),\n  },\n  stream: OpenAIChat.protocol.stream,\n})\n\nconst cacheControl = () => {\n  const breakpoints = newBreakpoints(4)\n  return (cache: CacheHint | undefined) => {\n    if (cache === undefined || breakpoints.remaining === 0) return undefined\n    breakpoints.remaining -= 1\n    return {\n      type: \"ephemeral\" as const,\n      ...(ttlBucket(cache.ttlSeconds) === \"1h\" ? { ttl: \"1h\" } : {}),\n    }\n  }\n}\n\nconst bodyOptions = (input: unknown) => {\n  const openrouter = isRecord(input) ? input : {}\n  const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =\n    openrouter\n  return {\n    ...options,\n    ...(usage === undefined || usage === true\n      ? { usage: { include: true } }\n      : usage === false\n        ? { usage: { include: false } }\n        : isRecord(usage)\n          ? { usage }\n          : {}),\n    ...(Array.isArray(models) ? { models } : {}),\n    ...(isRecord(provider) ? { provider } : {}),\n    ...(Array.isArray(plugins) ? { plugins } : {}),\n    ...(isRecord(web_search_options) ? { web_search_options } : {}),\n    ...(isRecord(debug) ? { debug } : {}),\n    ...(typeof user === \"string\" ? { user } : {}),\n    ...(isRecord(reasoning) ? { reasoning } : {}),\n    ...(typeof promptCacheKey === \"string\" ? { prompt_cache_key: promptCacheKey } : {}),\n  }\n}\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: profile.provider,\n  protocol,\n  endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n  framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: LanguageModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return route.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? profile.baseURL },\n    auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n  })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n"
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+  "debugId": "01008026F8351C9464756E2164756E21",
+  "names": []
+}

bin/chunk-z2kbt29a.js.map

+{
+  "version": 3,
+  "sources": ["../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/entity.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/column-common.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/column.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/table.utils.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/table.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/subquery.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/tracing-utils.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/tracing.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/view-common.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/sql/sql.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/sql/expressions/conditions.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/sql/expressions/select.js"],
+  "sourcesContent": [
+    "//#region src/entity.ts\nconst entityKind = Symbol.for(\"drizzle:entityKind\");\nconst hasOwnEntityKind = Symbol.for(\"drizzle:hasOwnEntityKind\");\nfunction is(value, type) {\n\tif (!value || typeof value !== \"object\") return false;\n\tif (value instanceof type) return true;\n\tif (!Object.prototype.hasOwnProperty.call(type, entityKind)) throw new Error(`Class \"${type.name ?? \"<unknown>\"}\" doesn't look like a Drizzle entity. If this is incorrect and the class is provided by Drizzle, please report this as a bug.`);\n\tlet cls = Object.getPrototypeOf(value)?.constructor;\n\tif (cls) while (cls) {\n\t\tif (entityKind in cls && cls[entityKind] === type[entityKind]) return true;\n\t\tcls = Object.getPrototypeOf(cls);\n\t}\n\treturn false;\n}\n\n//#endregion\nexport { entityKind, hasOwnEntityKind, is };\n//# sourceMappingURL=entity.js.map",
+    "//#region src/column-common.ts\nconst OriginalColumn = Symbol.for(\"drizzle:OriginalColumn\");\n\n//#endregion\nexport { OriginalColumn };\n//# sourceMappingURL=column-common.js.map",
+    "import { entityKind } from \"./entity.js\";\nimport { OriginalColumn } from \"./column-common.js\";\n\n//#region src/column.ts\nconst noop = (v) => v;\nnoop.isNoop = true;\nvar Column = class {\n\tstatic [entityKind] = \"Column\";\n\t/** @internal */\n\tcodec;\n\tname;\n\tkeyAsName;\n\tprimary;\n\tnotNull;\n\tdefault;\n\tdefaultFn;\n\tonUpdateFn;\n\thasDefault;\n\tisUnique;\n\tuniqueName;\n\tuniqueType;\n\tdataType;\n\tcolumnType;\n\tenumValues = void 0;\n\tgenerated = void 0;\n\tgeneratedIdentity = void 0;\n\tlength;\n\tisLengthExact;\n\tisAlias;\n\t/** @internal */\n\tconfig;\n\t/** @internal */\n\ttable;\n\t/** @internal */\n\tonInit() {}\n\tconstructor(table, config) {\n\t\tthis.config = config;\n\t\tthis.onInit();\n\t\tthis.table = table;\n\t\tthis.name = config.name;\n\t\tthis.isAlias = false;\n\t\tthis.keyAsName = config.keyAsName;\n\t\tthis.notNull = config.notNull;\n\t\tthis.default = config.default;\n\t\tthis.defaultFn = config.defaultFn;\n\t\tthis.onUpdateFn = config.onUpdateFn;\n\t\tthis.hasDefault = config.hasDefault;\n\t\tthis.primary = config.primaryKey;\n\t\tthis.isUnique = config.isUnique;\n\t\tthis.uniqueName = config.uniqueName;\n\t\tthis.uniqueType = config.uniqueType;\n\t\tthis.dataType = config.dataType;\n\t\tthis.columnType = config.columnType;\n\t\tthis.generated = config.generated;\n\t\tthis.generatedIdentity = config.generatedIdentity;\n\t\tthis.length = config[\"length\"];\n\t\tthis.isLengthExact = config[\"isLengthExact\"];\n\t}\n\tmapFromDriverValue = noop;\n\tmapToDriverValue = noop;\n\t/** @internal */\n\tpostBuild() {\n\t\treturn this;\n\t}\n\t/** @internal */\n\tshouldDisableInsert() {\n\t\treturn this.config.generated !== void 0 && this.config.generated.type !== \"byDefault\";\n\t}\n\t/** @internal */\n\t[OriginalColumn]() {\n\t\treturn this;\n\t}\n};\nfunction getColumnTable(column) {\n\treturn column.table;\n}\n\n//#endregion\nexport { Column, getColumnTable };\n//# sourceMappingURL=column.js.map",
+    "//#region src/table.utils.ts\n/** @internal */\nconst TableName = Symbol.for(\"drizzle:Name\");\n\n//#endregion\nexport { TableName };\n//# sourceMappingURL=table.utils.js.map",
+    "import { entityKind } from \"./entity.js\";\nimport { TableName } from \"./table.utils.js\";\n\n//#region src/table.ts\n/** @internal */\nconst TableSchema = Symbol.for(\"drizzle:Schema\");\n/** @internal */\nconst TableColumns = Symbol.for(\"drizzle:Columns\");\n/** @internal */\nconst ExtraConfigColumns = Symbol.for(\"drizzle:ExtraConfigColumns\");\n/** @internal */\nconst OriginalName = Symbol.for(\"drizzle:OriginalName\");\n/** @internal */\nconst BaseName = Symbol.for(\"drizzle:BaseName\");\n/** @internal */\nconst IsAlias = Symbol.for(\"drizzle:IsAlias\");\n/** @internal */\nconst ExtraConfigBuilder = Symbol.for(\"drizzle:ExtraConfigBuilder\");\nconst IsDrizzleTable = Symbol.for(\"drizzle:IsDrizzleTable\");\nvar Table = class {\n\tstatic [entityKind] = \"Table\";\n\t/** @internal */\n\tstatic Symbol = {\n\t\tName: TableName,\n\t\tSchema: TableSchema,\n\t\tOriginalName,\n\t\tColumns: TableColumns,\n\t\tExtraConfigColumns,\n\t\tBaseName,\n\t\tIsAlias,\n\t\tExtraConfigBuilder\n\t};\n\t/**\n\t* @internal\n\t* Can be changed if the table is aliased.\n\t*/\n\t[TableName];\n\t/**\n\t* @internal\n\t* Used to store the original name of the table, before any aliasing.\n\t*/\n\t[OriginalName];\n\t/** @internal */\n\t[TableSchema];\n\t/** @internal */\n\t[TableColumns];\n\t/** @internal */\n\t[ExtraConfigColumns];\n\t/**\n\t*  @internal\n\t* Used to store the table name before the transformation via the `tableCreator` functions.\n\t*/\n\t[BaseName];\n\t/** @internal */\n\t[IsAlias] = false;\n\t/** @internal */\n\t[IsDrizzleTable] = true;\n\t/** @internal */\n\t[ExtraConfigBuilder] = void 0;\n\tconstructor(name, schema, baseName) {\n\t\tthis[TableName] = this[OriginalName] = name;\n\t\tthis[TableSchema] = schema;\n\t\tthis[BaseName] = baseName;\n\t}\n};\nfunction isTable(table) {\n\treturn typeof table === \"object\" && table !== null && IsDrizzleTable in table;\n}\nfunction getTableName(table) {\n\treturn table[TableName];\n}\nfunction getTableUniqueName(table) {\n\treturn `${table[TableSchema] ?? \"public\"}.${table[TableName]}`;\n}\n\n//#endregion\nexport { BaseName, ExtraConfigBuilder, ExtraConfigColumns, IsAlias, OriginalName, Table, TableColumns, TableSchema, getTableName, getTableUniqueName, isTable };\n//# sourceMappingURL=table.js.map",
+    "import { entityKind } from \"./entity.js\";\n\n//#region src/subquery.ts\nvar Subquery = class {\n\tstatic [entityKind] = \"Subquery\";\n\tconstructor(sql, fields, alias, isWith = false, usedTables = []) {\n\t\tthis._ = {\n\t\t\tbrand: \"Subquery\",\n\t\t\tsql,\n\t\t\tselectedFields: fields,\n\t\t\talias,\n\t\t\tisWith,\n\t\t\tusedTables\n\t\t};\n\t}\n};\nvar WithSubquery = class extends Subquery {\n\tstatic [entityKind] = \"WithSubquery\";\n};\n\n//#endregion\nexport { Subquery, WithSubquery };\n//# sourceMappingURL=subquery.js.map",
+    "//#region src/tracing-utils.ts\nfunction iife(fn, ...args) {\n\treturn fn(...args);\n}\n\n//#endregion\nexport { iife };\n//# sourceMappingURL=tracing-utils.js.map",
+    "import { iife } from \"./tracing-utils.js\";\nimport { npmVersion } from \"./version.js\";\n\n//#region src/tracing.ts\nconst hasTelemetry = false;\n/** @internal */\nconst tracer = { startActiveSpan(name, fn) {\n\treturn fn();\n} };\n\n//#endregion\nexport { hasTelemetry, tracer };\n//# sourceMappingURL=tracing.js.map",
+    "//#region src/view-common.ts\nconst ViewBaseConfig = Symbol.for(\"drizzle:ViewBaseConfig\");\n\n//#endregion\nexport { ViewBaseConfig };\n//# sourceMappingURL=view-common.js.map",
+    "import { Column } from \"../column.js\";\nimport { IsAlias, OriginalName, Table, TableColumns, TableSchema } from \"../table.js\";\nimport { entityKind, is } from \"../entity.js\";\nimport { Subquery } from \"../subquery.js\";\nimport { TableName } from \"../table.utils.js\";\nimport { tracer } from \"../tracing.js\";\nimport { ViewBaseConfig } from \"../view-common.js\";\n\n//#region src/sql/sql.ts\n/**\n* This class is used to indicate a primitive param value that is used in `sql` tag.\n* It is only used on type level and is never instantiated at runtime.\n* If you see a value of this type in the code, its runtime value is actually the primitive param value.\n*/\nvar FakePrimitiveParam = class {\n\tstatic [entityKind] = \"FakePrimitiveParam\";\n};\nfunction isSQLWrapper(value) {\n\treturn value !== null && value !== void 0 && typeof value.getSQL === \"function\";\n}\nfunction mergeQueries(queries) {\n\tconst result = {\n\t\tsql: \"\",\n\t\tparams: []\n\t};\n\tfor (const query of queries) {\n\t\tresult.sql += query.sql;\n\t\tresult.params.push(...query.params);\n\t}\n\treturn result;\n}\nfunction _mergeQueries(queries) {\n\tconst result = {\n\t\tsql: \"\",\n\t\tparams: []\n\t};\n\tconst sqls = [];\n\tfor (const query of queries) {\n\t\tsqls.push(query.sql);\n\t\tresult.params.push(...query.params);\n\t}\n\tresult._sql = Object.assign(sqls, { raw: sqls });\n\treturn result;\n}\nvar StringChunk = class {\n\tstatic [entityKind] = \"StringChunk\";\n\tvalue;\n\tconstructor(value) {\n\t\tthis.value = Array.isArray(value) ? value : [value];\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\nvar SQL = class SQL {\n\tstatic [entityKind] = \"SQL\";\n\t/** @internal */\n\tdecoder = noopDecoder;\n\t/** @internal */\n\tshouldInlineParams = false;\n\t/** @internal */\n\tusedTables = [];\n\tconstructor(queryChunks) {\n\t\tthis.queryChunks = queryChunks;\n\t\tfor (const chunk of queryChunks) if (is(chunk, Table)) {\n\t\t\tconst schemaName = chunk[Table.Symbol.Schema];\n\t\t\tthis.usedTables.push(schemaName === void 0 ? chunk[Table.Symbol.Name] : schemaName + \".\" + chunk[Table.Symbol.Name]);\n\t\t}\n\t}\n\tappend(query) {\n\t\tthis.queryChunks.push(...query.queryChunks);\n\t\treturn this;\n\t}\n\ttoQuery(config) {\n\t\treturn tracer.startActiveSpan(\"drizzle.buildSQL\", (span) => {\n\t\t\tconst query = this.buildQueryFromSourceParams(this.queryChunks, config);\n\t\t\tspan?.setAttributes({\n\t\t\t\t\"drizzle.query.text\": query.sql,\n\t\t\t\t\"drizzle.query.params\": JSON.stringify(query.params)\n\t\t\t});\n\t\t\treturn query;\n\t\t});\n\t}\n\tbuildQueryFromSourceParams(chunks, _config) {\n\t\tconst config = Object.assign({}, _config, {\n\t\t\tinlineParams: _config.inlineParams || this.shouldInlineParams,\n\t\t\tparamStartIndex: _config.paramStartIndex || { value: 0 }\n\t\t});\n\t\tconst { escapeName, escapeParam, codecs, inlineParams, paramStartIndex, invokeSource } = config;\n\t\tconst mappedChunks = chunks.map((chunk) => {\n\t\t\tif (is(chunk, StringChunk)) return {\n\t\t\t\tsql: chunk.value.join(\"\"),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (is(chunk, Name)) return {\n\t\t\t\tsql: escapeName(chunk.value),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (chunk === void 0) return {\n\t\t\t\tsql: \"\",\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (Array.isArray(chunk)) {\n\t\t\t\tconst result = [new StringChunk(\"(\")];\n\t\t\t\tfor (const [i, p] of chunk.entries()) {\n\t\t\t\t\tresult.push(p);\n\t\t\t\t\tif (i < chunk.length - 1) result.push(new StringChunk(\", \"));\n\t\t\t\t}\n\t\t\t\tresult.push(new StringChunk(\")\"));\n\t\t\t\treturn this.buildQueryFromSourceParams(result, config);\n\t\t\t}\n\t\t\tif (is(chunk, SQL)) return this.buildQueryFromSourceParams(chunk.queryChunks, {\n\t\t\t\t...config,\n\t\t\t\tinlineParams: inlineParams || chunk.shouldInlineParams\n\t\t\t});\n\t\t\tif (is(chunk, Table)) {\n\t\t\t\tconst schemaName = chunk[Table.Symbol.Schema];\n\t\t\t\tconst tableName = chunk[Table.Symbol.Name];\n\t\t\t\tif (invokeSource === \"mssql-view-with-schemabinding\") return {\n\t\t\t\t\tsql: (schemaName === void 0 ? escapeName(\"dbo\") : escapeName(schemaName)) + \".\" + escapeName(tableName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\treturn {\n\t\t\t\t\tsql: schemaName === void 0 || chunk[IsAlias] ? escapeName(tableName) : escapeName(schemaName) + \".\" + escapeName(tableName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, Column)) {\n\t\t\t\tconst columnName = chunk.name;\n\t\t\t\tif (_config.invokeSource === \"indexes\") return {\n\t\t\t\t\tsql: escapeName(columnName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\tconst schemaName = invokeSource === \"mssql-check\" ? void 0 : chunk.table[Table.Symbol.Schema];\n\t\t\t\treturn {\n\t\t\t\t\tsql: chunk.isAlias ? escapeName(chunk.name) : chunk.table[IsAlias] || schemaName === void 0 ? escapeName(chunk.table[Table.Symbol.Name]) + \".\" + escapeName(columnName) : escapeName(schemaName) + \".\" + escapeName(chunk.table[Table.Symbol.Name]) + \".\" + escapeName(columnName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, View)) {\n\t\t\t\tconst schemaName = chunk[ViewBaseConfig].schema;\n\t\t\t\tconst viewName = chunk[ViewBaseConfig].name;\n\t\t\t\treturn {\n\t\t\t\t\tsql: schemaName === void 0 || chunk[ViewBaseConfig].isAlias ? escapeName(viewName) : escapeName(schemaName) + \".\" + escapeName(viewName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, Param)) {\n\t\t\t\tif (is(chunk.value, SQL)) return this.buildQueryFromSourceParams([chunk.value], config);\n\t\t\t\tconst useCodecs = codecs && is(chunk.encoder, Column);\n\t\t\t\tif (is(chunk.value, Placeholder)) {\n\t\t\t\t\tconst escaped = escapeParam(paramStartIndex.value++, chunk);\n\t\t\t\t\tchunk.codec = useCodecs ? (value) => codecs.apply(chunk.encoder, \"normalizeParam\", value) : void 0;\n\t\t\t\t\treturn {\n\t\t\t\t\t\tsql: useCodecs ? codecs.apply(chunk.encoder, \"castParam\", escaped) : escaped,\n\t\t\t\t\t\tparams: [chunk]\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t\tlet mappedValue;\n\t\t\t\tif (chunk.value === null) mappedValue = chunk.value;\n\t\t\t\telse {\n\t\t\t\t\tmappedValue = chunk.encoder.mapToDriverValue.isNoop ? chunk.value : chunk.encoder.mapToDriverValue(chunk.value);\n\t\t\t\t\tif (is(mappedValue, SQL)) return this.buildQueryFromSourceParams([mappedValue], config);\n\t\t\t\t\tif (useCodecs) mappedValue = codecs.apply(chunk.encoder, \"normalizeParam\", mappedValue);\n\t\t\t\t}\n\t\t\t\tif (inlineParams) return {\n\t\t\t\t\tsql: this.mapInlineParam(mappedValue, config),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\tconst escaped = escapeParam(paramStartIndex.value++, mappedValue);\n\t\t\t\treturn {\n\t\t\t\t\tsql: useCodecs ? codecs.apply(chunk.encoder, \"castParam\", escaped) : escaped,\n\t\t\t\t\tparams: [mappedValue]\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, Placeholder)) return {\n\t\t\t\tsql: escapeParam(paramStartIndex.value++, chunk),\n\t\t\t\tparams: [chunk]\n\t\t\t};\n\t\t\tif (is(chunk, SQL.Aliased) && chunk.fieldAlias !== void 0) return {\n\t\t\t\tsql: (chunk.origin !== void 0 ? escapeName(chunk.origin) + \".\" : \"\") + escapeName(chunk.fieldAlias),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (is(chunk, Subquery)) {\n\t\t\t\tif (chunk._.isWith) return {\n\t\t\t\t\tsql: escapeName(chunk._.alias),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\treturn this.buildQueryFromSourceParams([\n\t\t\t\t\tnew StringChunk(\"(\"),\n\t\t\t\t\tchunk._.sql,\n\t\t\t\t\tnew StringChunk(\") \"),\n\t\t\t\t\tnew Name(chunk._.alias)\n\t\t\t\t], config);\n\t\t\t}\n\t\t\tif (typeof chunk === \"function\" && \"enumName\" in chunk) {\n\t\t\t\tif (\"schema\" in chunk && chunk.schema) return {\n\t\t\t\t\tsql: escapeName(chunk.schema) + \".\" + escapeName(chunk.enumName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\treturn {\n\t\t\t\t\tsql: escapeName(chunk.enumName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (isSQLWrapper(chunk)) {\n\t\t\t\tif (chunk.shouldOmitSQLParens?.()) return this.buildQueryFromSourceParams([chunk.getSQL()], config);\n\t\t\t\treturn this.buildQueryFromSourceParams([\n\t\t\t\t\tnew StringChunk(\"(\"),\n\t\t\t\t\tchunk.getSQL(),\n\t\t\t\t\tnew StringChunk(\")\")\n\t\t\t\t], config);\n\t\t\t}\n\t\t\tif (inlineParams) return {\n\t\t\t\tsql: this.mapInlineParam(chunk, config),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\treturn {\n\t\t\t\tsql: escapeParam(paramStartIndex.value++, chunk),\n\t\t\t\tparams: [chunk]\n\t\t\t};\n\t\t});\n\t\tif (_config.tagged) return _mergeQueries(mappedChunks);\n\t\treturn mergeQueries(mappedChunks);\n\t}\n\tmapInlineParam(chunk, { escapeString }) {\n\t\tif (chunk === null) return \"null\";\n\t\tif (typeof chunk === \"number\" || typeof chunk === \"boolean\" || typeof chunk === \"bigint\") return chunk.toString();\n\t\tif (typeof chunk === \"string\") return escapeString(chunk);\n\t\tif (typeof chunk === \"object\") {\n\t\t\tconst mappedValueAsString = chunk.toString();\n\t\t\tif (mappedValueAsString === \"[object Object]\") return escapeString(JSON.stringify(chunk));\n\t\t\treturn escapeString(mappedValueAsString);\n\t\t}\n\t\tthrow new Error(\"Unexpected param value: \" + chunk);\n\t}\n\tgetSQL() {\n\t\treturn this;\n\t}\n\tas(alias) {\n\t\tif (alias === void 0) return this;\n\t\treturn new SQL.Aliased(this, alias);\n\t}\n\tmapWith(decoder) {\n\t\tthis.decoder = typeof decoder === \"function\" ? { mapFromDriverValue: decoder } : decoder;\n\t\treturn this;\n\t}\n\tinlineParams() {\n\t\tthis.shouldInlineParams = true;\n\t\treturn this;\n\t}\n\t/**\n\t* This method is used to conditionally include a part of the query.\n\t*\n\t* @param condition - Condition to check\n\t* @returns itself if the condition is `true`, otherwise `undefined`\n\t*/\n\tif(condition) {\n\t\treturn condition ? this : void 0;\n\t}\n};\n/**\n* Any DB name (table, column, index etc.)\n*/\nvar Name = class {\n\tstatic [entityKind] = \"Name\";\n\tbrand;\n\tconstructor(value) {\n\t\tthis.value = value;\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\n/**\n* Any DB name (table, column, index etc.)\n* @deprecated Use `sql.identifier` instead.\n*/\nfunction name(value) {\n\treturn new Name(value);\n}\nfunction isDriverValueEncoder(value) {\n\treturn typeof value === \"object\" && value !== null && \"mapToDriverValue\" in value && typeof value.mapToDriverValue === \"function\";\n}\nconst noopDecoder = { mapFromDriverValue: (value) => value };\nnoopDecoder.mapFromDriverValue.isNoop = true;\nconst noopEncoder = { mapToDriverValue: (value) => value };\nnoopEncoder.mapToDriverValue.isNoop = true;\nfunction isNoop(mapper) {\n\treturn mapper.isNoop;\n}\nconst noopMapper = {\n\t...noopDecoder,\n\t...noopEncoder\n};\n/** Parameter value that is optionally bound to an encoder (for example, a column). */\nvar Param = class {\n\tstatic [entityKind] = \"Param\";\n\tbrand;\n\t/**\n\t* @param value - Parameter value\n\t* @param encoder - Encoder to convert the value to a driver parameter\n\t*/\n\tconstructor(value, encoder = noopEncoder, codec) {\n\t\tthis.value = value;\n\t\tthis.encoder = encoder;\n\t\tthis.codec = codec;\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\n/** @deprecated Use `sql.param` instead. */\nfunction param(value, encoder) {\n\treturn new Param(value, encoder);\n}\nfunction sql(strings, ...params) {\n\tconst queryChunks = [];\n\tif (params.length > 0 || strings.length > 0 && strings[0] !== \"\") queryChunks.push(new StringChunk(strings[0]));\n\tfor (const [paramIndex, param] of params.entries()) queryChunks.push(param, new StringChunk(strings[paramIndex + 1]));\n\treturn new SQL(queryChunks);\n}\n(function(_sql) {\n\tfunction empty() {\n\t\treturn new SQL([]);\n\t}\n\t_sql.empty = empty;\n\tfunction fromList(list) {\n\t\treturn new SQL(list);\n\t}\n\t_sql.fromList = fromList;\n\tfunction raw(str) {\n\t\treturn new SQL([new StringChunk(str)]);\n\t}\n\t_sql.raw = raw;\n\tfunction join(chunks, separator) {\n\t\tconst result = [];\n\t\tfor (const [i, chunk] of chunks.entries()) {\n\t\t\tif (i > 0 && separator !== void 0) result.push(separator);\n\t\t\tresult.push(chunk);\n\t\t}\n\t\treturn new SQL(result);\n\t}\n\t_sql.join = join;\n\tfunction identifier(value) {\n\t\treturn new Name(value);\n\t}\n\t_sql.identifier = identifier;\n\tfunction placeholder(name) {\n\t\treturn new Placeholder(name);\n\t}\n\t_sql.placeholder = placeholder;\n\tfunction param(value, encoder) {\n\t\treturn new Param(value, encoder);\n\t}\n\t_sql.param = param;\n\tfunction comment(input) {\n\t\tconst encoded = sqlCommenter(input);\n\t\tif (!encoded.length) return void 0;\n\t\treturn sql.raw(encoded);\n\t}\n\t_sql.comment = comment;\n})(sql || (sql = {}));\nfunction sqlCommenter(input) {\n\tconst encoded = sqlCommenter.encodeInput(input);\n\tif (!encoded.length) return \"\";\n\treturn `/*${encoded}*/`;\n}\n(function(_sqlCommenter) {\n\tfunction merge(input1, input2) {\n\t\tlet encoded;\n\t\tif (typeof input1 === \"object\" && typeof input2 === \"object\") encoded = encodeInput({\n\t\t\t...input1,\n\t\t\t...input2\n\t\t});\n\t\telse if (input1 && input2) encoded = [encodeInput(input1), encodeInput(input2)].filter((i) => i.length).join(\",\");\n\t\telse if (input2) encoded = encodeInput(input2);\n\t\telse if (input1) encoded = encodeInput(input1);\n\t\telse return \"\";\n\t\tif (!encoded.length) return \"\";\n\t\treturn `/*${encoded}*/`;\n\t}\n\t_sqlCommenter.merge = merge;\n\tfunction encodeInput(input) {\n\t\tif (typeof input === \"string\") {\n\t\t\tif (!input.length) return input;\n\t\t\treturn sanitizeStringInput(input);\n\t\t}\n\t\tconst parts = [];\n\t\tfor (const [key, value] of Object.entries(input)) {\n\t\t\tif (value === null || value === void 0 || value === \"\") continue;\n\t\t\tconst encodedKey = sanitizeObjectElement(key);\n\t\t\tconst encodedValue = sanitizeObjectElement(String(value));\n\t\t\tparts.push(`${encodedKey}='${encodedValue}'`);\n\t\t}\n\t\tif (!parts.length) return \"\";\n\t\treturn parts.sort().join(\",\");\n\t}\n\t_sqlCommenter.encodeInput = encodeInput;\n\tfunction sanitizeObjectElement(key) {\n\t\treturn encodeURIComponent(key).replace(/'/g, `\\\\'`);\n\t}\n\t_sqlCommenter.sanitizeObjectElement = sanitizeObjectElement;\n\tfunction sanitizeStringInput(input) {\n\t\treturn input.replace(/\\/\\*/g, \"/ *\").replace(/\\*\\//g, \"* /\");\n\t}\n\t_sqlCommenter.sanitizeStringInput = sanitizeStringInput;\n})(sqlCommenter || (sqlCommenter = {}));\n(function(_SQL) {\n\tclass Aliased {\n\t\tstatic [entityKind] = \"SQL.Aliased\";\n\t\t/** @internal */\n\t\tisSelectionField = false;\n\t\t/** @internal */\n\t\torigin;\n\t\tconstructor(sql, fieldAlias) {\n\t\t\tthis.sql = sql;\n\t\t\tthis.fieldAlias = fieldAlias;\n\t\t}\n\t\tgetSQL() {\n\t\t\treturn this.sql;\n\t\t}\n\t\t/** @internal */\n\t\tclone() {\n\t\t\treturn new Aliased(this.sql, this.fieldAlias);\n\t\t}\n\t}\n\t_SQL.Aliased = Aliased;\n})(SQL || (SQL = {}));\nvar Placeholder = class {\n\tstatic [entityKind] = \"Placeholder\";\n\tconstructor(name) {\n\t\tthis.name = name;\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\n/** @deprecated Use `sql.placeholder` instead. */\nfunction placeholder(name) {\n\treturn new Placeholder(name);\n}\nfunction fillPlaceholders(params, values) {\n\treturn params.map((p) => {\n\t\tif (is(p, Placeholder)) {\n\t\t\tif (!(p.name in values)) throw new Error(`No value for placeholder \"${p.name}\" was provided`);\n\t\t\treturn values[p.name];\n\t\t}\n\t\tif (is(p, Param) && is(p.value, Placeholder)) {\n\t\t\tif (!(p.value.name in values)) throw new Error(`No value for placeholder \"${p.value.name}\" was provided`);\n\t\t\tif (values[p.value.name] === null) return values[p.value.name];\n\t\t\tconst mapped = p.encoder.mapToDriverValue.isNoop ? values[p.value.name] : p.encoder.mapToDriverValue(values[p.value.name]);\n\t\t\treturn p.codec ? p.codec(mapped) : mapped;\n\t\t}\n\t\treturn p;\n\t});\n}\nconst IsDrizzleView = Symbol.for(\"drizzle:IsDrizzleView\");\nvar View = class {\n\tstatic [entityKind] = \"View\";\n\t/** @internal */\n\t[ViewBaseConfig];\n\t/** @internal */\n\t[IsDrizzleView] = true;\n\t/** @internal */\n\tget [TableName]() {\n\t\treturn this[ViewBaseConfig].name;\n\t}\n\t/** @internal */\n\tget [TableSchema]() {\n\t\treturn this[ViewBaseConfig].schema;\n\t}\n\t/** @internal */\n\tget [IsAlias]() {\n\t\treturn this[ViewBaseConfig].isAlias;\n\t}\n\t/** @internal */\n\tget [OriginalName]() {\n\t\treturn this[ViewBaseConfig].originalName;\n\t}\n\t/** @internal */\n\tget [TableColumns]() {\n\t\treturn this[ViewBaseConfig].selectedFields;\n\t}\n\tconstructor({ name, schema, selectedFields, query }) {\n\t\tthis[ViewBaseConfig] = {\n\t\t\tname,\n\t\t\toriginalName: name,\n\t\t\tschema,\n\t\t\tselectedFields,\n\t\t\tquery,\n\t\t\tisExisting: !query,\n\t\t\tisAlias: false\n\t\t};\n\t}\n};\nfunction isView(view) {\n\treturn typeof view === \"object\" && view !== null && IsDrizzleView in view;\n}\nfunction getViewName(view) {\n\treturn view[ViewBaseConfig].name;\n}\nColumn.prototype.getSQL = function() {\n\treturn new SQL([this]);\n};\nSubquery.prototype.getSQL = function() {\n\treturn new SQL([this]);\n};\n\n//#endregion\nexport { FakePrimitiveParam, Name, Param, Placeholder, SQL, StringChunk, View, fillPlaceholders, getViewName, isDriverValueEncoder, isNoop, isSQLWrapper, isView, name, noopDecoder, noopEncoder, noopMapper, param, placeholder, sql, sqlCommenter };\n//# sourceMappingURL=sql.js.map",
+    "import { Param, Placeholder, SQL, StringChunk, View, isDriverValueEncoder, isSQLWrapper, sql } from \"../sql.js\";\nimport { is } from \"../../entity.js\";\nimport { Table } from \"../../table.js\";\nimport { Column } from \"../../column.js\";\n\n//#region src/sql/expressions/conditions.ts\nfunction bindIfParam(value, column) {\n\tif (isDriverValueEncoder(column) && !isSQLWrapper(value) && !is(value, Param) && !is(value, Placeholder) && !is(value, Column) && !is(value, Table) && !is(value, View)) return new Param(value, column);\n\treturn value;\n}\n/**\n* Test that two values are equal.\n*\n* Remember that the SQL standard dictates that\n* two NULL values are not equal, so if you want to test\n* whether a value is null, you may want to use\n* `isNull` instead.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made by Ford\n* db.select().from(cars)\n*   .where(eq(cars.make, 'Ford'))\n* ```\n*\n* @see isNull for a way to test equality to NULL.\n*/\nconst eq = (left, right) => {\n\treturn sql`${left} = ${bindIfParam(right, left)}`;\n};\n/**\n* Test that two values are not equal.\n*\n* Remember that the SQL standard dictates that\n* two NULL values are not equal, so if you want to test\n* whether a value is not null, you may want to use\n* `isNotNull` instead.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars not made by Ford\n* db.select().from(cars)\n*   .where(ne(cars.make, 'Ford'))\n* ```\n*\n* @see isNotNull for a way to test whether a value is not null.\n*/\nconst ne = (left, right) => {\n\treturn sql`${left} <> ${bindIfParam(right, left)}`;\n};\nfunction and(...unfilteredConditions) {\n\tconst conditions = unfilteredConditions.filter((c) => c !== void 0);\n\tif (conditions.length === 0) return;\n\tif (conditions.length === 1) return new SQL(conditions);\n\treturn new SQL([\n\t\tnew StringChunk(\"(\"),\n\t\tsql.join(conditions.map((c) => sql`(${c})`), new StringChunk(\" and \")),\n\t\tnew StringChunk(\")\")\n\t]);\n}\nfunction or(...unfilteredConditions) {\n\tconst conditions = unfilteredConditions.filter((c) => c !== void 0);\n\tif (conditions.length === 0) return;\n\tif (conditions.length === 1) return new SQL(conditions);\n\treturn new SQL([\n\t\tnew StringChunk(\"(\"),\n\t\tsql.join(conditions.map((c) => sql`(${c})`), new StringChunk(\" or \")),\n\t\tnew StringChunk(\")\")\n\t]);\n}\n/**\n* Negate the meaning of an expression using the `not` keyword.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars _not_ made by GM or Ford.\n* db.select().from(cars)\n*   .where(not(inArray(cars.make, ['GM', 'Ford'])))\n* ```\n*/\nfunction not(condition) {\n\treturn is(condition, SQL) ? sql`not (${condition})` : sql`not ${condition}`;\n}\n/**\n* Test that the first expression passed is greater than\n* the second expression.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made after 2000.\n* db.select().from(cars)\n*   .where(gt(cars.year, 2000))\n* ```\n*\n* @see gte for greater-than-or-equal\n*/\nconst gt = (left, right) => {\n\treturn sql`${left} > ${bindIfParam(right, left)}`;\n};\n/**\n* Test that the first expression passed is greater than\n* or equal to the second expression. Use `gt` to\n* test whether an expression is strictly greater\n* than another.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made on or after 2000.\n* db.select().from(cars)\n*   .where(gte(cars.year, 2000))\n* ```\n*\n* @see gt for a strictly greater-than condition\n*/\nconst gte = (left, right) => {\n\treturn sql`${left} >= ${bindIfParam(right, left)}`;\n};\n/**\n* Test that the first expression passed is less than\n* the second expression.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made before 2000.\n* db.select().from(cars)\n*   .where(lt(cars.year, 2000))\n* ```\n*\n* @see lte for less-than-or-equal\n*/\nconst lt = (left, right) => {\n\treturn sql`${left} < ${bindIfParam(right, left)}`;\n};\n/**\n* Test that the first expression passed is less than\n* or equal to the second expression.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made before 2000.\n* db.select().from(cars)\n*   .where(lte(cars.year, 2000))\n* ```\n*\n* @see lt for a strictly less-than condition\n*/\nconst lte = (left, right) => {\n\treturn sql`${left} <= ${bindIfParam(right, left)}`;\n};\nfunction inArray(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) return sql`false`;\n\t\treturn sql`${column} in ${values.map((v) => bindIfParam(v, column))}`;\n\t}\n\treturn sql`${column} in ${bindIfParam(values, column)}`;\n}\nfunction notInArray(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) return sql`true`;\n\t\treturn sql`${column} not in ${values.map((v) => bindIfParam(v, column))}`;\n\t}\n\treturn sql`${column} not in ${bindIfParam(values, column)}`;\n}\n/**\n* Test whether an expression is NULL. By the SQL standard,\n* NULL is neither equal nor not equal to itself, so\n* it's recommended to use `isNull` and `notIsNull` for\n* comparisons to NULL.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars that have no discontinuedAt date.\n* db.select().from(cars)\n*   .where(isNull(cars.discontinuedAt))\n* ```\n*\n* @see isNotNull for the inverse of this test\n*/\nfunction isNull(value) {\n\treturn sql`(${value} is null)`;\n}\n/**\n* Test whether an expression is not NULL. By the SQL standard,\n* NULL is neither equal nor not equal to itself, so\n* it's recommended to use `isNull` and `notIsNull` for\n* comparisons to NULL.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars that have been discontinued.\n* db.select().from(cars)\n*   .where(isNotNull(cars.discontinuedAt))\n* ```\n*\n* @see isNull for the inverse of this test\n*/\nfunction isNotNull(value) {\n\treturn sql`(${value} is not null)`;\n}\n/**\n* Test whether a subquery evaluates to have any rows.\n*\n* ## Examples\n*\n* ```ts\n* // Users whose `homeCity` column has a match in a cities\n* // table.\n* db\n*   .select()\n*   .from(users)\n*   .where(\n*     exists(db.select()\n*       .from(cities)\n*       .where(eq(users.homeCity, cities.id))),\n*   );\n* ```\n*\n* @see notExists for the inverse of this test\n*/\nfunction exists(subquery) {\n\treturn sql`exists ${subquery}`;\n}\n/**\n* Test whether a subquery doesn't include any result\n* rows.\n*\n* ## Examples\n*\n* ```ts\n* // Users whose `homeCity` column doesn't match\n* // a row in the cities table.\n* db\n*   .select()\n*   .from(users)\n*   .where(\n*     notExists(db.select()\n*       .from(cities)\n*       .where(eq(users.homeCity, cities.id))),\n*   );\n* ```\n*\n* @see exists for the inverse of this test\n*/\nfunction notExists(subquery) {\n\treturn sql`not exists ${subquery}`;\n}\nfunction between(column, min, max) {\n\treturn sql`${column} between ${bindIfParam(min, column)} and ${bindIfParam(max, column)}`;\n}\nfunction notBetween(column, min, max) {\n\treturn sql`${column} not between ${bindIfParam(min, column)} and ${bindIfParam(max, column)}`;\n}\n/**\n* Compare a column to a pattern, which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars with 'Turbo' in their names.\n* db.select().from(cars)\n*   .where(like(cars.name, '%Turbo%'))\n* ```\n*\n* @see ilike for a case-insensitive version of this condition\n*/\nfunction like(column, value) {\n\treturn sql`${column} like ${value}`;\n}\n/**\n* The inverse of like - this tests that a given column\n* does not match a pattern, which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars that don't have \"ROver\" in their name.\n* db.select().from(cars)\n*   .where(notLike(cars.name, '%Rover%'))\n* ```\n*\n* @see like for the inverse condition\n* @see notIlike for a case-insensitive version of this condition\n*/\nfunction notLike(column, value) {\n\treturn sql`${column} not like ${value}`;\n}\n/**\n* Case-insensitively compare a column to a pattern,\n* which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* Unlike like, this performs a case-insensitive comparison.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars with 'Turbo' in their names.\n* db.select().from(cars)\n*   .where(ilike(cars.name, '%Turbo%'))\n* ```\n*\n* @see like for a case-sensitive version of this condition\n*/\nfunction ilike(column, value) {\n\treturn sql`${column} ilike ${value}`;\n}\n/**\n* The inverse of ilike - this case-insensitively tests that a given column\n* does not match a pattern, which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars that don't have \"Rover\" in their name.\n* db.select().from(cars)\n*   .where(notLike(cars.name, '%Rover%'))\n* ```\n*\n* @see ilike for the inverse condition\n* @see notLike for a case-sensitive version of this condition\n*/\nfunction notIlike(column, value) {\n\treturn sql`${column} not ilike ${value}`;\n}\nfunction arrayContains(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) throw new Error(\"arrayContains requires at least one value\");\n\t\tconst par = bindIfParam(values, column);\n\t\treturn sql`${column} @> ${sql`${Array.isArray(par) ? new Param(par) : par}`}`;\n\t}\n\treturn sql`${column} @> ${bindIfParam(values, column)}`;\n}\nfunction arrayContained(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) throw new Error(\"arrayContained requires at least one value\");\n\t\tconst par = bindIfParam(values, column);\n\t\treturn sql`${column} <@ ${sql`${Array.isArray(par) ? new Param(par) : par}`}`;\n\t}\n\treturn sql`${column} <@ ${bindIfParam(values, column)}`;\n}\nfunction arrayOverlaps(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) throw new Error(\"arrayOverlaps requires at least one value\");\n\t\tconst par = bindIfParam(values, column);\n\t\treturn sql`${column} && ${sql`${Array.isArray(par) ? new Param(par) : par}`}`;\n\t}\n\treturn sql`${column} && ${bindIfParam(values, column)}`;\n}\n\n//#endregion\nexport { and, arrayContained, arrayContains, arrayOverlaps, between, bindIfParam, eq, exists, gt, gte, ilike, inArray, isNotNull, isNull, like, lt, lte, ne, not, notBetween, notExists, notIlike, notInArray, notLike, or };\n//# sourceMappingURL=conditions.js.map",
+    "import { sql } from \"../sql.js\";\n\n//#region src/sql/expressions/select.ts\n/**\n* Used in sorting, this specifies that the given\n* column or expression should be sorted in ascending\n* order. By the SQL standard, ascending order is the\n* default, so it is not usually necessary to specify\n* ascending sort order.\n*\n* ## Examples\n*\n* ```ts\n* // Return cars, starting with the oldest models\n* // and going in ascending order to the newest.\n* db.select().from(cars)\n*   .orderBy(asc(cars.year));\n* ```\n*\n* @see desc to sort in descending order\n*/\nfunction asc(column) {\n\treturn sql`${column} asc`;\n}\n/**\n* Used in sorting, this specifies that the given\n* column or expression should be sorted in descending\n* order.\n*\n* ## Examples\n*\n* ```ts\n* // Select users, with the most recently created\n* // records coming first.\n* db.select().from(users)\n*   .orderBy(desc(users.createdAt));\n* ```\n*\n* @see asc to sort in ascending order\n*/\nfunction desc(column) {\n\treturn sql`${column} desc`;\n}\n\n//#endregion\nexport { asc, desc };\n//# sourceMappingURL=select.js.map"
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+  "debugId": "125EBE230F3E99F464756E2164756E21",
+  "names": []
+}

bin/chunk-z7jchwrv.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
+  ],
+  "mappings": "",
+  "debugId": "29163BF5156E1EE464756E2164756E21",
+  "names": []
+}

package.json

 {
   "name": "@opencode-ai/cli-linux-arm64",
-  "version": "0.0.0-next-16671",
+  "version": "0.0.0-next-16676",
   "license": "MIT",
@@ -5,0 +5,0 @@ "repository": {

bin/chunk-02m8422e.js.map

-{
-  "version": 3,
-  "sources": ["src/run/run.ts", "src/run/noninteractive.ts", "src/run/ui.ts"],
-  "sourcesContent": [
-    "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient, type SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { open } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { readStdin } from \"../util/io\"\nimport { ServerConnection } from \"../services/server-connection\"\nimport { parseSessionTargetModel, resolveSessionTarget } from \"../session-target\"\nimport { toolInlineInfo } from \"@opencode-ai/tui/mini/tool\"\nimport { runNonInteractivePrompt } from \"./noninteractive\"\nimport { UI } from \"./ui\"\n\nexport type RunCommandInput = {\n  server: ServerConnection.Resolved\n  message: string[]\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: string\n  agent?: string\n  format: \"default\" | \"json\"\n  file: string[]\n  title?: string\n  thinking?: boolean\n  auto?: boolean\n}\n\ntype FilePart = {\n  url: string\n  filename: string\n  mime: string\n}\n\ntype Prepared = {\n  directory?: string\n  message: string\n  files: FilePart[]\n}\n\ntype ExecutionOptions = {\n  root?: string\n  directory?: string\n  useServerDirectory?: boolean\n  variant?: string\n  attached?: boolean\n  compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n  constructor(\n    message: string,\n    readonly sessionID?: string,\n  ) {\n    super(message)\n  }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n  return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n  return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n  if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n  const root = options.root ?? process.env.PWD ?? process.cwd()\n  const local = localDirectory(root)\n  const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n  const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n  if (!message?.trim()) fail(\"You must provide a message\")\n  const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n  const prepared = { directory, message, files }\n  return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const explicit = parseRunModel(input.model)\n  const target = await resolveSessionTarget({\n    client,\n    location: prepared.directory ? { directory: prepared.directory } : undefined,\n    continue: input.continue,\n    session: input.session,\n    fork: input.fork,\n    model: explicit\n      ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n      : undefined,\n    agent: input.agent,\n    prepare: async (next) => {\n      const selected =\n        next.model ??\n        (options.variant\n          ? await client.model\n              .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n              .then((result) => result.data)\n          : undefined)\n      const model = selected\n        ? {\n            providerID: selected.providerID,\n            id: selected.id,\n            variant: options.variant ?? (\"variant\" in selected ? selected.variant : undefined),\n          }\n        : undefined\n      if ((options.variant ?? explicit?.variant) && !model)\n        throw new RunTargetError(\"Cannot select a variant before selecting a model\", next.session?.id)\n      return { model, agent: next.agent }\n    },\n  }).catch((error) => {\n    if (!(error instanceof RunTargetError)) throw error\n    reportRunError(input, error.message, error.sessionID)\n    return undefined\n  })\n  if (!target) return\n  const model = target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined\n  const variant = target.model?.variant\n  if (!target.resume && input.title !== undefined) {\n    await client.session.rename({\n      sessionID: target.session.id,\n      title: input.title || prepared.message.slice(0, 50) + (prepared.message.length > 50 ? \"...\" : \"\"),\n    })\n  }\n\n  await runNonInteractivePrompt({\n    client,\n    sessionID: target.session.id,\n    location: target.location,\n    message: prepared.message,\n    files: prepared.files,\n    agent: target.agent,\n    model,\n    variant,\n    thinking: input.thinking ?? false,\n    format: input.format,\n    auto: input.auto ?? false,\n    attached: options.attached ?? true,\n    compatibility: options.compatibility,\n    renderTool: (part) => renderTool(part, target.location.directory),\n    renderToolError: (part) => renderToolError(part, target.location.directory),\n  }).catch((error) => reportRunError(input, errorMessage(error), target.session.id))\n}\n\nexport function mergeInput(message: string | undefined, piped: string | undefined) {\n  if (!message) return piped || undefined\n  if (!piped) return message\n  return message + \"\\n\" + piped\n}\n\nfunction formatMessage(message: string[]) {\n  const value = message.map((part) => (part.includes(\" \") ? `\"${part.replace(/\"/g, '\\\\\"')}\"` : part)).join(\" \")\n  return value || undefined\n}\n\nfunction localDirectory(root: string) {\n  try {\n    process.chdir(root)\n    return process.cwd()\n  } catch {\n    fail(`Failed to change directory to ${root}`)\n  }\n}\n\nexport function parseRunModel(value?: string) {\n  const ref = parseSessionTargetModel(value)\n  if (!ref) return\n  return {\n    model: { providerID: ref.providerID, modelID: ref.id },\n    variant: ref.variant,\n  }\n}\n\nasync function prepareFile(input: string, directory: string, options: ExecutionOptions): Promise<FilePart> {\n  const file = path.resolve(directory, input)\n  const handle = await open(file, \"r\").catch(() => fail(`File not found: ${input}`))\n  try {\n    const stat = await handle.stat()\n    if (options.compatibility === \"v1\" && options.attached && stat.isDirectory())\n      fail(`Cannot attach local directory without a shared filesystem: ${input}`)\n    if (!stat.isFile() || stat.size > ATTACH_FILE_MAX_BYTES)\n      fail(`Cannot attach a directory, special file, or file larger than 10 MiB: ${input}`)\n    const content = Buffer.alloc(Number(stat.size))\n    let offset = 0\n    while (offset < content.length) {\n      const read = await handle.read(content, offset, content.length - offset, offset)\n      if (read.bytesRead === 0) break\n      offset += read.bytesRead\n    }\n    const bytes = content.subarray(0, offset)\n    const detected = FSUtil.mimeType(file)\n    const text = bytes.toString(\"utf8\")\n    const mime =\n      detected.startsWith(\"image/\") || detected === \"application/pdf\"\n        ? detected\n        : !isBinaryContent(bytes) && Buffer.from(text, \"utf8\").equals(bytes)\n          ? \"text/plain\"\n          : detected\n    return {\n      url: `data:${mime};base64,${bytes.toString(\"base64\")}`,\n      filename: path.basename(file),\n      mime,\n    }\n  } finally {\n    await handle.close()\n  }\n}\n\nfunction isBinaryContent(bytes: Uint8Array) {\n  if (bytes.length === 0) return false\n  if (bytes.includes(0)) return true\n  return bytes.reduce((count, byte) => count + Number(byte < 9 || (byte > 13 && byte < 32)), 0) / bytes.length > 0.3\n}\n\nasync function renderTool(part: SessionMessageAssistantTool, directory: string) {\n  const info = toolInlineInfo(part, directory)\n  if (info.mode === \"block\") {\n    UI.empty()\n    UI.println(UI.Style.TEXT_NORMAL + info.icon, UI.Style.TEXT_NORMAL + info.title)\n    if (info.body?.trim()) UI.println(info.body)\n    UI.empty()\n    return\n  }\n  UI.println(\n    UI.Style.TEXT_NORMAL + info.icon,\n    UI.Style.TEXT_NORMAL + info.title,\n    info.description ? UI.Style.TEXT_DIM + info.description + UI.Style.TEXT_NORMAL : \"\",\n  )\n}\n\nasync function renderToolError(part: SessionMessageAssistantTool, directory: string) {\n  const info = toolInlineInfo(part, directory)\n  UI.println(UI.Style.TEXT_NORMAL + \"✗\", UI.Style.TEXT_NORMAL + `${info.title} failed`)\n}\n\nfunction errorMessage(error: unknown) {\n  if (error instanceof Error) return error.message\n  if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\")\n    return error.message\n  return String(error)\n}\n\n/** @internal Used by the V1 command boundary before a Session exists. */\nexport function reportRunError(input: Pick<RunCommandInput, \"format\">, message: string, sessionID?: string) {\n  process.exitCode = 1\n  if (input.format === \"json\") {\n    process.stdout.write(\n      JSON.stringify({\n        type: \"error\",\n        timestamp: Date.now(),\n        sessionID: sessionID ?? \"\",\n        error: { type: \"unknown\", message },\n      }) + \"\\n\",\n    )\n    return\n  }\n  UI.error(message)\n}\n\nfunction fail(message: string): never {\n  throw new Error(message)\n}\n",
-    "import type {\n  EventSubscribeOutput,\n  JsonValue,\n  LocationRef,\n  OpenCodeClient,\n  SessionMessageAssistantTool,\n  SessionMessageInfo,\n  ToolContent,\n} from \"@opencode-ai/client/promise\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { EOL } from \"node:os\"\nimport { readFile } from \"node:fs/promises\"\nimport { nonEmptyToolContent, toolOutputText, type MiniToolPart } from \"@opencode-ai/tui/mini/tool\"\nimport { UI } from \"./ui\"\n\ntype Model = {\n  providerID: string\n  modelID: string\n}\n\ntype File = {\n  url: string\n  filename: string\n  mime: string\n}\n\ntype Input = {\n  client: OpenCodeClient\n  sessionID: string\n  location: LocationRef\n  message: string\n  files: File[]\n  agent?: string\n  model?: Model\n  variant?: string\n  thinking: boolean\n  format: \"default\" | \"json\"\n  auto: boolean\n  /** True when the client is attached to a shared server rather than an exclusive in-process one. */\n  attached: boolean\n  compatibility?: \"v1\"\n  renderTool: (part: SessionMessageAssistantTool) => Promise<void>\n  renderToolError: (part: SessionMessageAssistantTool) => Promise<void>\n}\n\ntype StartedPart = {\n  id: string\n  timestamp: number\n}\n\ntype ToolState = StartedPart & {\n  assistantMessageID: string\n  tool: string\n  input: Record<string, JsonValue>\n  raw?: string\n  provider?: unknown\n  providerState?: SessionMessageAssistantTool[\"providerState\"]\n  metadata: Record<string, JsonValue>\n  content: ToolContent[]\n}\n\ntype V2Event = EventSubscribeOutput\ntype FormRequest = Extract<V2Event, { type: \"form.created\" }>[\"data\"][\"form\"]\n\n// MCP elicitations are temporarily owned by the \"global\" sentinel instead of a real\n// session. An exclusive local process may treat them as this run's blockers; an\n// attached client must not cancel input that may belong to another session.\nconst GLOBAL_FORM_SESSION_ID = \"global\"\n\nexport async function runNonInteractivePrompt(input: Input) {\n  const controller = new AbortController()\n  const stream = input.client.event.subscribe({ signal: controller.signal })[Symbol.asyncIterator]()\n  const connected = await stream.next()\n  if (connected.done) throw new Error(\"Event stream disconnected before prompt admission\")\n\n  const messageID = SessionMessage.ID.create()\n  const starts = new Map<string, StartedPart>()\n  const tools = new Map<string, ToolState>()\n  const renderedText = new Map<string, string>()\n  const renderedReasoning = new Map<string, string>()\n  const renderedTools = new Set<string>()\n  let submitted = false\n  let promoted = false\n  let emittedError = false\n  let permissionRejected = false\n  let formCancelled = false\n  let interrupted = false\n  let v1InvalidOutput = false\n  let prePromotionError: { message: string; [key: string]: unknown } | undefined\n  let finalizing = false\n  let admission: AbortController | undefined\n  let pendingStep: { timestamp: number; part: Record<string, unknown>; label: string } | undefined\n\n  const emit = (type: string, timestamp: number, data: Record<string, unknown>) => {\n    if (input.format !== \"json\") return false\n    process.stdout.write(JSON.stringify({ type, timestamp, sessionID: input.sessionID, ...data }) + EOL)\n    return true\n  }\n\n  const writeText = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n    if (emit(\"text\", timestamp, { part })) return\n    const text = part.text.trim()\n    if (!text) return\n    if (!process.stdout.isTTY) {\n      process.stdout.write(text + EOL)\n      return\n    }\n    UI.empty()\n    UI.println(text)\n    UI.empty()\n  }\n\n  const writeReasoning = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n    if (emit(\"reasoning\", timestamp, { part })) return\n    const text = part.text.trim()\n    if (!text) return\n    const line = `Thinking: ${text}`\n    if (!process.stdout.isTTY) return void process.stdout.write(line + EOL)\n    UI.empty()\n    UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n    UI.empty()\n  }\n\n  const flushStep = () => {\n    if (!pendingStep) return\n    const value = pendingStep\n    pendingStep = undefined\n    if (!emit(\"step_start\", value.timestamp, { part: value.part }) && input.format !== \"json\") {\n      UI.empty()\n      UI.println(value.label)\n      UI.empty()\n    }\n  }\n\n  const replyPermission = async (request: { id: string; action: string; resources: ReadonlyArray<string> }) => {\n    if (!input.auto) {\n      permissionRejected = true\n      UI.println(\n        UI.Style.TEXT_WARNING_BOLD + \"!\",\n        UI.Style.TEXT_NORMAL +\n          `permission requested: ${request.action} (${request.resources.join(\", \")}); auto-rejecting`,\n      )\n    }\n    await input.client.permission\n      .reply({\n        sessionID: input.sessionID,\n        requestID: request.id,\n        reply: input.auto ? \"once\" : \"reject\",\n      })\n      .catch(() => {})\n    if (!input.auto) {\n      await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n    }\n  }\n\n  const cancelForm = async (request: Pick<FormRequest, \"id\" | \"sessionID\">) => {\n    try {\n      await input.client.form.cancel(\n        { sessionID: request.sessionID, formID: request.id },\n        ...formRequestOptions(request.sessionID === GLOBAL_FORM_SESSION_ID ? input.location : undefined),\n      )\n    } catch (error) {\n      if (!formAlreadySettled(error)) throw error\n    }\n    formCancelled = true\n  }\n\n  const consume = async () => {\n    while (!controller.signal.aborted) {\n      const next = await stream.next().catch((error) => {\n        if (!emittedError) throw error\n        return { done: true as const, value: undefined }\n      })\n      if (next.done) {\n        if (emittedError) return\n        throw new Error(\"Event stream disconnected during prompt execution\")\n      }\n      const event = next.value\n\n      if (event.type === \"permission.asked\" && submitted && event.data.sessionID === input.sessionID) {\n        await replyPermission(event.data)\n        continue\n      }\n      if (\n        event.type === \"form.created\" &&\n        submitted &&\n        (event.data.form.sessionID === input.sessionID ||\n          (!input.attached &&\n            event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n            sameLocation(event.location, input.location)))\n      ) {\n        await cancelForm(event.data.form)\n        continue\n      }\n      if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n      const time = toMillis(\"created\" in event ? event.created : undefined)\n\n      if (event.type === \"session.input.promoted\") {\n        if (event.data.inputID === messageID) {\n          promoted = true\n          prePromotionError = undefined\n          continue\n        }\n      }\n      if (\n        event.type === \"session.execution.interrupted\" &&\n        event.data.reason === \"user\" &&\n        (interrupted || permissionRejected || formCancelled)\n      ) {\n        return\n      }\n      if (!promoted && event.type === \"session.execution.failed\") {\n        prePromotionError = event.data.error\n        if (finalizing) return\n        continue\n      }\n      if (\n        !promoted &&\n        finalizing &&\n        (event.type === \"session.execution.succeeded\" || event.type === \"session.execution.interrupted\")\n      )\n        return\n      if (!promoted) continue\n      if (finalizing && !event.type.startsWith(\"session.execution.\")) continue\n\n      if (event.type === \"session.step.started\") {\n        const part = {\n          id: partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"step-start\",\n          snapshot: event.data.snapshot,\n        }\n        if (input.compatibility === \"v1\") {\n          pendingStep = {\n            timestamp: time,\n            part,\n            label: `> ${event.data.agent} · ${event.data.model.id}`,\n          }\n          continue\n        }\n        if (!emit(\"step_start\", time, { part }) && input.format !== \"json\") {\n          UI.empty()\n          UI.println(`> ${event.data.agent} · ${event.data.model.id}`)\n          UI.empty()\n        }\n        continue\n      }\n\n      if (event.type === \"session.text.started\") {\n        flushStep()\n        starts.set(`text\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n          id: partID(event.id),\n          timestamp: time,\n        })\n        continue\n      }\n      if (event.type === \"session.text.ended\") {\n        const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n        const started = starts.get(`text\\u0000${key}`)\n        starts.delete(`text\\u0000${key}`)\n        const part = {\n          id: started?.id ?? partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"text\",\n          text: event.data.text,\n          time: { start: started?.timestamp ?? time, end: time },\n        }\n        renderedText.set(key, event.data.text)\n        writeText(part, time)\n        continue\n      }\n\n      if (event.type === \"session.reasoning.started\") {\n        flushStep()\n        starts.set(`reasoning\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n          id: partID(event.id),\n          timestamp: time,\n        })\n        continue\n      }\n      if (event.type === \"session.reasoning.ended\" && input.thinking) {\n        const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n        const started = starts.get(`reasoning\\u0000${key}`)\n        starts.delete(`reasoning\\u0000${key}`)\n        const part = {\n          id: started?.id ?? partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"reasoning\",\n          text: event.data.text,\n          metadata: event.data.state,\n          time: { start: started?.timestamp ?? time, end: time },\n        }\n        renderedReasoning.set(key, event.data.text)\n        writeReasoning(part, time)\n        continue\n      }\n\n      if (event.type === \"session.tool.input.started\") {\n        flushStep()\n        tools.set(toolKey(event.data.assistantMessageID, event.data.callID), {\n          id: partID(event.id),\n          timestamp: time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: event.data.name,\n          input: {},\n          metadata: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.input.ended\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = event.data.text\n        continue\n      }\n      if (event.type === \"session.tool.input.delta\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n        continue\n      }\n      if (event.type === \"session.tool.called\") {\n        flushStep()\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key)\n        tools.set(key, {\n          id: current?.id ?? partID(event.id),\n          timestamp: current?.timestamp ?? time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: current?.tool ?? \"tool\",\n          input: event.data.input,\n          raw: current?.raw,\n          provider: { executed: event.data.executed, state: event.data.state },\n          providerState: event.data.state,\n          metadata: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.progress\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) {\n          current.metadata = event.data.metadata\n        }\n        continue\n      }\n      if (event.type === \"session.tool.success\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            metadata: event.data.metadata,\n            content: event.data.content,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            output: toolOutputText(current.tool, event.data.content),\n            title: current.tool,\n            metadata: {\n              metadata: event.data.metadata,\n              content: event.data.content,\n              providerCall: current.provider,\n              providerResult: { executed: event.data.executed, state: event.data.resultState },\n              rawInput: current.raw,\n            },\n            time: { start: current.timestamp, end: time },\n          },\n        }\n        tools.delete(key)\n        renderedTools.add(key)\n        if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n        continue\n      }\n      if (event.type === \"session.tool.failed\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const error = event.data.error.message\n        const metadata = event.data.metadata ?? current.metadata\n        const content = event.data.content ?? nonEmptyToolContent(current.content)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"error\",\n            input: current.input,\n            metadata,\n            content,\n            error: event.data.error,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"error\",\n            input: current.input,\n            error,\n            metadata: {\n              providerCall: current.provider,\n              providerResult: { executed: event.data.executed, state: event.data.resultState },\n              rawInput: current.raw,\n            },\n            time: { start: current.timestamp, end: time },\n          },\n        }\n        tools.delete(key)\n        renderedTools.add(key)\n        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n        if (!emit(\"tool_use\", time, { part })) {\n          if (content && toolOutputText(current.tool, content).trim())\n            await input.renderTool({\n              ...tool,\n              state: {\n                status: \"completed\",\n                input: current.input,\n                metadata,\n                content,\n              },\n            })\n          await input.renderToolError(tool)\n          UI.error(error)\n        }\n        continue\n      }\n\n      if (event.type === \"session.step.ended\") {\n        flushStep()\n        const part = {\n          id: partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"step-finish\",\n          reason: event.data.finish,\n          snapshot: event.data.snapshot,\n          cost: event.data.cost,\n          tokens: event.data.tokens,\n        }\n        emit(\"step_finish\", time, { part })\n        continue\n      }\n      if (event.type === \"session.step.failed\") {\n        if (\n          input.compatibility === \"v1\" &&\n          event.data.error.message === \"Provider stream ended without a terminal finish event\"\n        ) {\n          pendingStep = undefined\n          v1InvalidOutput = true\n          continue\n        }\n        if (interrupted || permissionRejected || formCancelled) continue\n        flushStep()\n        emittedError = true\n        process.exitCode = 1\n        if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        continue\n      }\n      if (event.type === \"session.execution.failed\") {\n        if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n        flushStep()\n        if (!emittedError && !formCancelled) {\n          emittedError = true\n          process.exitCode = 1\n          if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.interrupted\") {\n        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n        if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n        if (event.data.reason !== \"user\" && !emittedError) {\n          emittedError = true\n          process.exitCode = 1\n          const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n          if (!emit(\"error\", time, { error })) UI.error(error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.succeeded\") return\n    }\n  }\n\n  const projectedMessages = async () => {\n    const messages: SessionMessageInfo[] = []\n    let cursor: string | undefined\n    while (true) {\n      const page = await input.client.message.list(\n        cursor\n          ? { sessionID: input.sessionID, limit: 200, cursor }\n          : { sessionID: input.sessionID, limit: 200, order: \"desc\" },\n      )\n      for (const message of page.data) {\n        if (message.id === messageID) return { found: true, messages: messages.toReversed() }\n        messages.push(message)\n      }\n      cursor = page.cursor.next ?? undefined\n      if (!cursor) return { found: false, messages: [] }\n    }\n  }\n\n  const reconcile = async () => {\n    const projected = await projectedMessages()\n    for (const message of projected.messages) {\n      if (message.type !== \"assistant\") continue\n      const timestamp = message.time.completed ?? message.time.created\n      let textOrdinal = 0\n      let reasoningOrdinal = 0\n      for (const item of message.content) {\n        if (item.type === \"text\") {\n          const ordinal = textOrdinal++\n          const key = contentKey(message.id, ordinal)\n          const rendered = renderedText.get(key) ?? \"\"\n          if (rendered === item.text || !item.text.startsWith(rendered)) continue\n          const text = item.text.slice(rendered.length)\n          writeText(\n            {\n              id: projectedPartID(message.id, `text-${ordinal}`),\n              sessionID: input.sessionID,\n              messageID: message.id,\n              type: \"text\",\n              text,\n              time: { start: message.time.created, end: timestamp },\n            },\n            timestamp,\n          )\n          renderedText.set(key, item.text)\n          continue\n        }\n        if (item.type === \"reasoning\") {\n          const ordinal = reasoningOrdinal++\n          if (!input.thinking) continue\n          const key = contentKey(message.id, ordinal)\n          const rendered = renderedReasoning.get(key) ?? \"\"\n          if (rendered === item.text || !item.text.startsWith(rendered)) continue\n          const text = item.text.slice(rendered.length)\n          const part = {\n            id: projectedPartID(message.id, `reasoning-${ordinal}`),\n            sessionID: input.sessionID,\n            messageID: message.id,\n            type: \"reasoning\",\n            text,\n            metadata: item.state,\n            time: { start: message.time.created, end: timestamp },\n          }\n          renderedReasoning.set(key, item.text)\n          writeReasoning(part, timestamp)\n          continue\n        }\n\n        const key = toolKey(message.id, item.id)\n        if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n        const part: MiniToolPart = {\n          id: projectedPartID(message.id, `tool-${item.id}`),\n          sessionID: input.sessionID,\n          messageID: message.id,\n          type: \"tool\",\n          callID: item.id,\n          tool: item.name,\n          state:\n            item.state.status === \"completed\"\n              ? {\n                  status: \"completed\",\n                  input: item.state.input,\n                  output: toolOutputText(item.name, item.state.content),\n                  title: item.name,\n                  metadata: { metadata: item.state.metadata, content: item.state.content },\n                  time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n                }\n              : {\n                  status: \"error\",\n                  input: item.state.input,\n                  error: item.state.error.message,\n                  metadata: { metadata: item.state.metadata, content: item.state.content },\n                  time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n                },\n        }\n        renderedTools.add(key)\n        if (emit(\"tool_use\", timestamp, { part })) continue\n        if (item.state.status === \"completed\") {\n          await input.renderTool(item)\n          continue\n        }\n        if (item.state.content && toolOutputText(item.name, item.state.content).trim()) {\n          await input.renderTool({\n            ...item,\n            state: {\n              status: \"completed\",\n              input: item.state.input,\n              metadata: item.state.metadata,\n              content: item.state.content,\n            },\n          })\n        }\n        await input.renderToolError(item)\n        UI.error(item.state.error.message)\n      }\n\n      if (message.error && !emittedError) {\n        emittedError = true\n        process.exitCode = 1\n        if (!emit(\"error\", timestamp, { error: message.error })) UI.error(message.error.message)\n      }\n    }\n    return {\n      found: projected.found,\n      responded: projected.messages.some((message) => message.type === \"assistant\"),\n    }\n  }\n\n  const interrupt = () => {\n    if (interrupted) process.exit(130)\n    interrupted = true\n    process.exitCode = 130\n    admission?.abort()\n    void input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n  }\n  process.on(\"SIGINT\", interrupt)\n\n  let completed: Promise<void> | undefined\n  try {\n    if (input.agent) {\n      await input.client.session.switchAgent({ sessionID: input.sessionID, agent: input.agent })\n    }\n    const selected = input.model\n      ? { providerID: input.model.providerID, id: input.model.modelID, variant: input.variant }\n      : input.variant\n        ? await input.client.session\n            .get({ sessionID: input.sessionID })\n            .then((result) => result.model)\n            .then(async (model) => {\n              if (model) return { ...model, variant: input.variant }\n              const result = await input.client.model.default()\n              const fallback = result.data\n              return fallback ? { providerID: fallback.providerID, id: fallback.id, variant: input.variant } : undefined\n            })\n        : undefined\n    if (input.variant && !selected) throw new Error(\"Cannot select a variant before selecting a model\")\n    if (selected) {\n      await input.client.session.switchModel({ sessionID: input.sessionID, model: selected })\n    }\n\n    const prepared = await Promise.all(input.files.map(prepareFile))\n    if (interrupted) return\n    submitted = true\n    completed = consume()\n    admission = new AbortController()\n    const response = await input.client.session\n      .prompt(\n        {\n          sessionID: input.sessionID,\n          id: messageID,\n          text: [input.message, ...prepared.flatMap((file) => (file.text ? [file.text] : []))].join(\"\\n\\n\"),\n          files: prepared.flatMap((file) => (file.attachment ? [file.attachment] : [])),\n          delivery: \"steer\",\n        },\n        { signal: admission.signal },\n      )\n      .catch(async (error) => {\n        if (interrupted) {\n          await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n        }\n        controller.abort()\n        await completed?.catch(() => {})\n        if (interrupted || emittedError) return undefined\n        throw error\n      })\n    admission = undefined\n    if (!response) return\n    if (interrupted) await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n\n    const [permissions, forms, globals] = await Promise.all([\n      input.client.permission.list({ sessionID: input.sessionID }).catch(() => undefined),\n      input.client.form.list({ sessionID: input.sessionID }).catch(() => undefined),\n      input.attached\n        ? Promise.resolve(undefined)\n        : input.client.form.request\n            .list({\n              location: { directory: input.location.directory, workspace: input.location.workspaceID },\n            })\n            .catch(() => undefined),\n    ])\n    await Promise.all([\n      ...(permissions ?? []).map(replyPermission),\n      ...(forms ?? []).map(cancelForm),\n      ...(globals && sameLocation(globals.location, input.location)\n        ? globals.data.filter((form) => form.sessionID === GLOBAL_FORM_SESSION_ID).map(cancelForm)\n        : []),\n    ])\n    if (input.compatibility === \"v1\") {\n      await completed\n      return\n    }\n\n    const waiting = input.client.session.wait({ sessionID: input.sessionID })\n    await Promise.race([waiting, completed.then(() => waiting)])\n    finalizing = true\n    const projected = await reconcile()\n    if (\n      !projected.responded &&\n      !interrupted &&\n      !permissionRejected &&\n      !formCancelled &&\n      !emittedError &&\n      !prePromotionError\n    ) {\n      await completed\n    }\n    if (!projected.found && !interrupted && !permissionRejected && !formCancelled && !emittedError) {\n      const error = prePromotionError ?? { type: \"unknown\", message: \"Prompt was not promoted\" }\n      emittedError = true\n      process.exitCode = 1\n      if (!emit(\"error\", Date.now(), { error })) UI.error(error.message)\n    }\n  } finally {\n    process.off(\"SIGINT\", interrupt)\n    controller.abort()\n    if (input.compatibility === \"v1\") await stream.return?.(undefined).catch(() => {})\n    else void stream.return?.(undefined).catch(() => {})\n  }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n  return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n  if (!location) return []\n  return [\n    {\n      headers: {\n        \"x-opencode-directory\": encodeURIComponent(location.directory),\n        ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n      },\n    },\n  ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n  return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n  return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, callID: string) {\n  return `${messageID}\\u0000${callID}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n  return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n  return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n  id: string\n  created: number\n  data: { assistantMessageID: string; callID: string }\n}): ToolState {\n  return {\n    id: partID(event.id),\n    timestamp: toMillis(event.created),\n    assistantMessageID: event.data.assistantMessageID,\n    tool: \"tool\",\n    input: {},\n    metadata: {},\n    content: [],\n  }\n}\n\nfunction toMillis(value: unknown) {\n  if (typeof value === \"number\") return value\n  if (typeof value === \"string\") return new Date(value).getTime()\n  return Date.now()\n}\n\nasync function prepareFile(file: File) {\n  if (file.mime !== \"text/plain\") {\n    const uri = file.url.startsWith(\"data:\")\n      ? file.url\n      : `data:${file.mime};base64,${(await readFile(new URL(file.url))).toString(\"base64\")}`\n    return { attachment: { uri, name: file.filename } }\n  }\n  const content = file.url.startsWith(\"data:\")\n    ? Buffer.from(file.url.slice(file.url.indexOf(\",\") + 1), \"base64\").toString(\"utf8\")\n    : await readFile(new URL(file.url), \"utf8\")\n  return { text: `<file name=\"${file.filename}\">\\n${content}\\n</file>` }\n}\n",
-    "import { EOL } from \"node:os\"\n\nexport const Style = {\n  TEXT_DIM: \"\\x1b[90m\",\n  TEXT_NORMAL: \"\\x1b[0m\",\n  TEXT_WARNING_BOLD: \"\\x1b[93m\\x1b[1m\",\n  TEXT_DANGER_BOLD: \"\\x1b[91m\\x1b[1m\",\n}\n\nexport function println(...message: string[]) {\n  process.stderr.write(message.join(\" \") + EOL)\n}\n\nlet blank = false\n\nexport function empty() {\n  if (blank) return\n  println(Style.TEXT_NORMAL)\n  blank = true\n}\n\nexport function error(message: string) {\n  if (message.startsWith(\"Error: \")) message = message.slice(\"Error: \".length)\n  println(Style.TEXT_DANGER_BOLD + \"Error: \" + Style.TEXT_NORMAL + message)\n}\n\nexport * as UI from \"./ui\"\n"
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bin/chunk-0bwx2029.js.map

-{
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bin/chunk-0nv0k3xt.js.map

-{
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-  "sources": ["../ai/src/providers/azure.ts"],
-  "sourcesContent": [
-    "import { Auth } from \"../route/auth\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\n\nexport const id = ProviderID.make(\"azure\")\nconst routeAuth = Auth.remove(\"authorization\")\n\n// Azure needs the customer's resource URL; supply either `resourceName`\n// (helper builds the URL) or `baseURL` directly.\ntype AzureURL = AtLeastOne<{ readonly resourceName: string; readonly baseURL: string }>\n\nexport type ModelOptions = AzureURL &\n  RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly apiVersion?: string\n    readonly queryParams?: Record<string, string>\n    readonly useCompletionUrls?: boolean\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\nexport type Config = ModelOptions\n\nexport type Settings = ProviderPackage.Settings &\n  AzureURL & {\n    readonly apiKey?: string\n    readonly apiVersion?: string\n    readonly queryParams?: Readonly<Record<string, string>>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai/v1`\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"azure-openai-responses\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"azure-openai-chat\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n  const {\n    apiKey: _,\n    apiVersion: _apiVersion,\n    resourceName: _resourceName,\n    useCompletionUrls: _useCompletionUrls,\n    baseURL: _baseURL,\n    queryParams: _queryParams,\n    ...rest\n  } = input\n  if (\"auth\" in rest) {\n    const { auth: _, ...withoutAuth } = rest\n    return withoutAuth\n  }\n  return rest\n}\n\nconst auth = (input: Config) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.remove(\"authorization\").andThen(\n    Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n      .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n      .pipe(Auth.header(\"api-key\")),\n  )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: {\n      // AtLeastOne guarantees at least one is set; baseURL wins if both are.\n      baseURL: input.baseURL ?? resourceBaseURL(input.resourceName!),\n      query: {\n        ...(input.apiVersion ? { \"api-version\": input.apiVersion } : {}),\n        ...input.queryParams,\n      },\n    },\n  })\n\nexport const configure = (input: Config) => {\n  const configuredResponsesRoute = configuredRoute(responsesRoute, input)\n  const configuredChatRoute = configuredRoute(chatRoute, input)\n  const modelDefaults = defaults(input)\n\n  const responses = (modelID: string | ModelID) =>\n    configuredResponsesRoute\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  const chat = (modelID: string | ModelID) =>\n    configuredChatRoute\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  return {\n    id,\n    model: (modelID: string | ModelID) => (input.useCompletionUrls === true ? chat(modelID) : responses(modelID)),\n    responses,\n    chat,\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nconst config = (settings: Settings): Config => {\n  const common = {\n    apiKey: settings.apiKey,\n    apiVersion: settings.apiVersion,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n  if (settings.baseURL !== undefined) return { ...common, baseURL: settings.baseURL }\n  if (settings.resourceName !== undefined) return { ...common, resourceName: settings.resourceName }\n  throw new Error(\"Azure requires resourceName or baseURL\")\n}\n\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).responses(modelID)\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).chat(modelID)\nexport const model = responsesModel\n"
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bin/chunk-0qn574mf.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/@ai-sdk+groq@3.0.31+d6123d32214422cb/node_modules/@ai-sdk/groq/dist/index.mjs"],
-  "sourcesContent": [
-    "// src/groq-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/groq-chat-language-model.ts\nimport {\n  InvalidResponseDataError\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  isParsableJson,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\n\n// src/convert-groq-usage.ts\nfunction convertGroqUsage(usage) {\n  var _a, _b, _c, _d;\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const promptTokens = (_a = usage.prompt_tokens) != null ? _a : 0;\n  const completionTokens = (_b = usage.completion_tokens) != null ? _b : 0;\n  const reasoningTokens = (_d = (_c = usage.completion_tokens_details) == null ? void 0 : _c.reasoning_tokens) != null ? _d : void 0;\n  const textTokens = reasoningTokens != null ? completionTokens - reasoningTokens : completionTokens;\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens,\n      cacheRead: void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: textTokens,\n      reasoning: reasoningTokens\n    },\n    raw: usage\n  };\n}\n\n// src/convert-to-groq-chat-messages.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nimport { convertToBase64 } from \"@ai-sdk/provider-utils\";\nfunction convertToGroqChatMessages(prompt) {\n  var _a;\n  const messages = [];\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\": {\n        if (content.length === 1 && content[0].type === \"text\") {\n          messages.push({ role: \"user\", content: content[0].text });\n          break;\n        }\n        messages.push({\n          role: \"user\",\n          content: content.map((part) => {\n            switch (part.type) {\n              case \"text\": {\n                return { type: \"text\", text: part.text };\n              }\n              case \"file\": {\n                if (!part.mediaType.startsWith(\"image/\")) {\n                  throw new UnsupportedFunctionalityError({\n                    functionality: \"Non-image file content parts\"\n                  });\n                }\n                const mediaType = part.mediaType === \"image/*\" ? \"image/jpeg\" : part.mediaType;\n                return {\n                  type: \"image_url\",\n                  image_url: {\n                    url: part.data instanceof URL ? part.data.toString() : `data:${mediaType};base64,${convertToBase64(part.data)}`\n                  }\n                };\n              }\n            }\n          })\n        });\n        break;\n      }\n      case \"assistant\": {\n        let text = \"\";\n        let reasoning = \"\";\n        const toolCalls = [];\n        for (const part of content) {\n          switch (part.type) {\n            // groq supports reasoning for tool-calls in multi-turn conversations\n            // https://github.com/vercel/ai/issues/7860\n            case \"reasoning\": {\n              reasoning += part.text;\n              break;\n            }\n            case \"text\": {\n              text += part.text;\n              break;\n            }\n            case \"tool-call\": {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: \"function\",\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input)\n                }\n              });\n              break;\n            }\n          }\n        }\n        messages.push({\n          role: \"assistant\",\n          content: text,\n          ...reasoning.length > 0 ? { reasoning } : null,\n          ...toolCalls.length > 0 ? { tool_calls: toolCalls } : null\n        });\n        break;\n      }\n      case \"tool\": {\n        for (const toolResponse of content) {\n          if (toolResponse.type === \"tool-approval-response\") {\n            continue;\n          }\n          const output = toolResponse.output;\n          let contentValue;\n          switch (output.type) {\n            case \"text\":\n            case \"error-text\":\n              contentValue = output.value;\n              break;\n            case \"execution-denied\":\n              contentValue = (_a = output.reason) != null ? _a : \"Tool execution denied.\";\n              break;\n            case \"content\":\n            case \"json\":\n            case \"error-json\":\n              contentValue = JSON.stringify(output.value);\n              break;\n          }\n          messages.push({\n            role: \"tool\",\n            tool_call_id: toolResponse.toolCallId,\n            content: contentValue\n          });\n        }\n        break;\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return messages;\n}\n\n// src/get-response-metadata.ts\nfunction getResponseMetadata({\n  id,\n  model,\n  created\n}) {\n  return {\n    id: id != null ? id : void 0,\n    modelId: model != null ? model : void 0,\n    timestamp: created != null ? new Date(created * 1e3) : void 0\n  };\n}\n\n// src/groq-chat-options.ts\nimport { z } from \"zod/v4\";\nvar groqLanguageModelOptions = z.object({\n  reasoningFormat: z.enum([\"parsed\", \"raw\", \"hidden\"]).optional(),\n  /**\n   * Specifies the reasoning effort level for model inference.\n   * @see https://console.groq.com/docs/reasoning#reasoning-effort\n   */\n  reasoningEffort: z.enum([\"none\", \"default\", \"low\", \"medium\", \"high\"]).optional(),\n  /**\n   * Whether to enable parallel function calling during tool use. Default to true.\n   */\n  parallelToolCalls: z.boolean().optional(),\n  /**\n   * A unique identifier representing your end-user, which can help OpenAI to\n   * monitor and detect abuse. Learn more.\n   */\n  user: z.string().optional(),\n  /**\n   * Whether to use structured outputs.\n   *\n   * @default true\n   */\n  structuredOutputs: z.boolean().optional(),\n  /**\n   * Whether to use strict JSON schema validation.\n   * When true, the model uses constrained decoding to guarantee schema compliance.\n   * Only used when structured outputs are enabled and a schema is provided.\n   *\n   * @default true\n   */\n  strictJsonSchema: z.boolean().optional(),\n  /**\n   * Service tier for the request.\n   * - 'on_demand': Default tier with consistent performance and fairness\n   * - 'flex': Higher throughput tier optimized for workloads that can handle occasional request failures\n   * - 'auto': Uses on_demand rate limits, then falls back to flex tier if exceeded\n   *\n   * @default 'on_demand'\n   */\n  serviceTier: z.enum([\"on_demand\", \"flex\", \"auto\"]).optional()\n});\n\n// src/groq-error.ts\nimport { z as z2 } from \"zod/v4\";\nimport { createJsonErrorResponseHandler } from \"@ai-sdk/provider-utils\";\nvar groqErrorDataSchema = z2.object({\n  error: z2.object({\n    message: z2.string(),\n    type: z2.string()\n  })\n});\nvar groqFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: groqErrorDataSchema,\n  errorToMessage: (data) => data.error.message\n});\n\n// src/groq-prepare-tools.ts\nimport {\n  UnsupportedFunctionalityError as UnsupportedFunctionalityError2\n} from \"@ai-sdk/provider\";\n\n// src/groq-browser-search-models.ts\nvar BROWSER_SEARCH_SUPPORTED_MODELS = [\n  \"openai/gpt-oss-20b\",\n  \"openai/gpt-oss-120b\"\n];\nfunction isBrowserSearchSupportedModel(modelId) {\n  return BROWSER_SEARCH_SUPPORTED_MODELS.includes(modelId);\n}\nfunction getSupportedModelsString() {\n  return BROWSER_SEARCH_SUPPORTED_MODELS.join(\", \");\n}\n\n// src/groq-prepare-tools.ts\nfunction prepareTools({\n  tools,\n  toolChoice,\n  modelId\n}) {\n  tools = (tools == null ? void 0 : tools.length) ? tools : void 0;\n  const toolWarnings = [];\n  if (tools == null) {\n    return { tools: void 0, toolChoice: void 0, toolWarnings };\n  }\n  const groqTools2 = [];\n  for (const tool of tools) {\n    if (tool.type === \"provider\") {\n      if (tool.id === \"groq.browser_search\") {\n        if (!isBrowserSearchSupportedModel(modelId)) {\n          toolWarnings.push({\n            type: \"unsupported\",\n            feature: `provider-defined tool ${tool.id}`,\n            details: `Browser search is only supported on the following models: ${getSupportedModelsString()}. Current model: ${modelId}`\n          });\n        } else {\n          groqTools2.push({\n            type: \"browser_search\"\n          });\n        }\n      } else {\n        toolWarnings.push({\n          type: \"unsupported\",\n          feature: `provider-defined tool ${tool.id}`\n        });\n      }\n    } else {\n      groqTools2.push({\n        type: \"function\",\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema,\n          ...tool.strict != null ? { strict: tool.strict } : {}\n        }\n      });\n    }\n  }\n  if (toolChoice == null) {\n    return { tools: groqTools2, toolChoice: void 0, toolWarnings };\n  }\n  const type = toolChoice.type;\n  switch (type) {\n    case \"auto\":\n    case \"none\":\n    case \"required\":\n      return { tools: groqTools2, toolChoice: type, toolWarnings };\n    case \"tool\":\n      return {\n        tools: groqTools2,\n        toolChoice: {\n          type: \"function\",\n          function: {\n            name: toolChoice.toolName\n          }\n        },\n        toolWarnings\n      };\n    default: {\n      const _exhaustiveCheck = type;\n      throw new UnsupportedFunctionalityError2({\n        functionality: `tool choice type: ${_exhaustiveCheck}`\n      });\n    }\n  }\n}\n\n// src/map-groq-finish-reason.ts\nfunction mapGroqFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"stop\":\n      return \"stop\";\n    case \"length\":\n      return \"length\";\n    case \"content_filter\":\n      return \"content-filter\";\n    case \"function_call\":\n    case \"tool_calls\":\n      return \"tool-calls\";\n    default:\n      return \"other\";\n  }\n}\n\n// src/groq-chat-language-model.ts\nvar GroqChatLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.supportedUrls = {\n      \"image/*\": [/^https?:\\/\\/.*$/]\n    };\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    stream,\n    tools,\n    toolChoice,\n    providerOptions\n  }) {\n    var _a, _b, _c;\n    const warnings = [];\n    const groqOptions = await parseProviderOptions({\n      provider: \"groq\",\n      providerOptions,\n      schema: groqLanguageModelOptions\n    });\n    const structuredOutputs = (_a = groqOptions == null ? void 0 : groqOptions.structuredOutputs) != null ? _a : true;\n    const strictJsonSchema = (_b = groqOptions == null ? void 0 : groqOptions.strictJsonSchema) != null ? _b : true;\n    if (topK != null) {\n      warnings.push({ type: \"unsupported\", feature: \"topK\" });\n    }\n    if ((responseFormat == null ? void 0 : responseFormat.type) === \"json\" && responseFormat.schema != null && !structuredOutputs) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"responseFormat\",\n        details: \"JSON response format schema is only supported with structuredOutputs\"\n      });\n    }\n    const {\n      tools: groqTools2,\n      toolChoice: groqToolChoice,\n      toolWarnings\n    } = prepareTools({ tools, toolChoice, modelId: this.modelId });\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n        // model specific settings:\n        user: groqOptions == null ? void 0 : groqOptions.user,\n        parallel_tool_calls: groqOptions == null ? void 0 : groqOptions.parallelToolCalls,\n        // standardized settings:\n        max_tokens: maxOutputTokens,\n        temperature,\n        top_p: topP,\n        frequency_penalty: frequencyPenalty,\n        presence_penalty: presencePenalty,\n        stop: stopSequences,\n        seed,\n        // response format:\n        response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? structuredOutputs && responseFormat.schema != null ? {\n          type: \"json_schema\",\n          json_schema: {\n            schema: responseFormat.schema,\n            strict: strictJsonSchema,\n            name: (_c = responseFormat.name) != null ? _c : \"response\",\n            description: responseFormat.description\n          }\n        } : { type: \"json_object\" } : void 0,\n        // provider options:\n        reasoning_format: groqOptions == null ? void 0 : groqOptions.reasoningFormat,\n        reasoning_effort: groqOptions == null ? void 0 : groqOptions.reasoningEffort,\n        service_tier: groqOptions == null ? void 0 : groqOptions.serviceTier,\n        // messages:\n        messages: convertToGroqChatMessages(prompt),\n        // tools:\n        tools: groqTools2,\n        tool_choice: groqToolChoice\n      },\n      warnings: [...warnings, ...toolWarnings]\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b;\n    const { args, warnings } = await this.getArgs({\n      ...options,\n      stream: false\n    });\n    const body = JSON.stringify(args);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: this.config.url({\n        path: \"/chat/completions\",\n        modelId: this.modelId\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: args,\n      failedResponseHandler: groqFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        groqChatResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const choice = response.choices[0];\n    const content = [];\n    const text = choice.message.content;\n    if (text != null && text.length > 0) {\n      content.push({ type: \"text\", text });\n    }\n    const reasoning = choice.message.reasoning;\n    if (reasoning != null && reasoning.length > 0) {\n      content.push({\n        type: \"reasoning\",\n        text: reasoning\n      });\n    }\n    if (choice.message.tool_calls != null) {\n      for (const toolCall of choice.message.tool_calls) {\n        content.push({\n          type: \"tool-call\",\n          toolCallId: (_a = toolCall.id) != null ? _a : generateId(),\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments\n        });\n      }\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapGroqFinishReason(choice.finish_reason),\n        raw: (_b = choice.finish_reason) != null ? _b : void 0\n      },\n      usage: convertGroqUsage(response.usage),\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings,\n      request: { body }\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = await this.getArgs({ ...options, stream: true });\n    const body = JSON.stringify({ ...args, stream: true });\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: \"/chat/completions\",\n        modelId: this.modelId\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: {\n        ...args,\n        stream: true\n      },\n      failedResponseHandler: groqFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(groqChatChunkSchema),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const toolCalls = [];\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    let isFirstChunk = true;\n    let isActiveText = false;\n    let isActiveReasoning = false;\n    let providerMetadata;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m;\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              finishReason = {\n                unified: \"error\",\n                raw: void 0\n              };\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            if (\"error\" in value) {\n              finishReason = {\n                unified: \"error\",\n                raw: void 0\n              };\n              controller.enqueue({ type: \"error\", error: value.error });\n              return;\n            }\n            if (isFirstChunk) {\n              isFirstChunk = false;\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value)\n              });\n            }\n            if (((_a = value.x_groq) == null ? void 0 : _a.usage) != null) {\n              usage = value.x_groq.usage;\n            }\n            const choice = value.choices[0];\n            if ((choice == null ? void 0 : choice.finish_reason) != null) {\n              finishReason = {\n                unified: mapGroqFinishReason(choice.finish_reason),\n                raw: choice.finish_reason\n              };\n            }\n            if ((choice == null ? void 0 : choice.delta) == null) {\n              return;\n            }\n            const delta = choice.delta;\n            if (delta.reasoning != null && delta.reasoning.length > 0) {\n              if (!isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-start\",\n                  id: \"reasoning-0\"\n                });\n                isActiveReasoning = true;\n              }\n              controller.enqueue({\n                type: \"reasoning-delta\",\n                id: \"reasoning-0\",\n                delta: delta.reasoning\n              });\n            }\n            if (delta.content != null && delta.content.length > 0) {\n              if (isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-end\",\n                  id: \"reasoning-0\"\n                });\n                isActiveReasoning = false;\n              }\n              if (!isActiveText) {\n                controller.enqueue({ type: \"text-start\", id: \"txt-0\" });\n                isActiveText = true;\n              }\n              controller.enqueue({\n                type: \"text-delta\",\n                id: \"txt-0\",\n                delta: delta.content\n              });\n            }\n            if (delta.tool_calls != null) {\n              if (isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-end\",\n                  id: \"reasoning-0\"\n                });\n                isActiveReasoning = false;\n              }\n              for (const toolCallDelta of delta.tool_calls) {\n                const index = toolCallDelta.index;\n                if (toolCalls[index] == null) {\n                  if (toolCallDelta.type !== \"function\") {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function' type.`\n                    });\n                  }\n                  if (toolCallDelta.id == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'id' to be a string.`\n                    });\n                  }\n                  if (((_b = toolCallDelta.function) == null ? void 0 : _b.name) == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function.name' to be a string.`\n                    });\n                  }\n                  controller.enqueue({\n                    type: \"tool-input-start\",\n                    id: toolCallDelta.id,\n                    toolName: toolCallDelta.function.name\n                  });\n                  toolCalls[index] = {\n                    id: toolCallDelta.id,\n                    type: \"function\",\n                    function: {\n                      name: toolCallDelta.function.name,\n                      arguments: (_c = toolCallDelta.function.arguments) != null ? _c : \"\"\n                    },\n                    hasFinished: false\n                  };\n                  const toolCall2 = toolCalls[index];\n                  if (((_d = toolCall2.function) == null ? void 0 : _d.name) != null && ((_e = toolCall2.function) == null ? void 0 : _e.arguments) != null) {\n                    if (toolCall2.function.arguments.length > 0) {\n                      controller.enqueue({\n                        type: \"tool-input-delta\",\n                        id: toolCall2.id,\n                        delta: toolCall2.function.arguments\n                      });\n                    }\n                    if (isParsableJson(toolCall2.function.arguments)) {\n                      controller.enqueue({\n                        type: \"tool-input-end\",\n                        id: toolCall2.id\n                      });\n                      controller.enqueue({\n                        type: \"tool-call\",\n                        toolCallId: (_f = toolCall2.id) != null ? _f : generateId(),\n                        toolName: toolCall2.function.name,\n                        input: toolCall2.function.arguments\n                      });\n                      toolCall2.hasFinished = true;\n                    }\n                  }\n                  continue;\n                }\n                const toolCall = toolCalls[index];\n                if (toolCall.hasFinished) {\n                  continue;\n                }\n                if (((_g = toolCallDelta.function) == null ? void 0 : _g.arguments) != null) {\n                  toolCall.function.arguments += (_i = (_h = toolCallDelta.function) == null ? void 0 : _h.arguments) != null ? _i : \"\";\n                }\n                controller.enqueue({\n                  type: \"tool-input-delta\",\n                  id: toolCall.id,\n                  delta: (_j = toolCallDelta.function.arguments) != null ? _j : \"\"\n                });\n                if (((_k = toolCall.function) == null ? void 0 : _k.name) != null && ((_l = toolCall.function) == null ? void 0 : _l.arguments) != null && isParsableJson(toolCall.function.arguments)) {\n                  controller.enqueue({\n                    type: \"tool-input-end\",\n                    id: toolCall.id\n                  });\n                  controller.enqueue({\n                    type: \"tool-call\",\n                    toolCallId: (_m = toolCall.id) != null ? _m : generateId(),\n                    toolName: toolCall.function.name,\n                    input: toolCall.function.arguments\n                  });\n                  toolCall.hasFinished = true;\n                }\n              }\n            }\n          },\n          flush(controller) {\n            if (isActiveReasoning) {\n              controller.enqueue({ type: \"reasoning-end\", id: \"reasoning-0\" });\n            }\n            if (isActiveText) {\n              controller.enqueue({ type: \"text-end\", id: \"txt-0\" });\n            }\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertGroqUsage(usage),\n              ...providerMetadata != null ? { providerMetadata } : {}\n            });\n          }\n        })\n      ),\n      request: { body },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nvar groqChatResponseSchema = z3.object({\n  id: z3.string().nullish(),\n  created: z3.number().nullish(),\n  model: z3.string().nullish(),\n  choices: z3.array(\n    z3.object({\n      message: z3.object({\n        content: z3.string().nullish(),\n        reasoning: z3.string().nullish(),\n        tool_calls: z3.array(\n          z3.object({\n            id: z3.string().nullish(),\n            type: z3.literal(\"function\"),\n            function: z3.object({\n              name: z3.string(),\n              arguments: z3.string()\n            })\n          })\n        ).nullish()\n      }),\n      index: z3.number(),\n      finish_reason: z3.string().nullish()\n    })\n  ),\n  usage: z3.object({\n    prompt_tokens: z3.number().nullish(),\n    completion_tokens: z3.number().nullish(),\n    total_tokens: z3.number().nullish(),\n    prompt_tokens_details: z3.object({\n      cached_tokens: z3.number().nullish()\n    }).nullish(),\n    completion_tokens_details: z3.object({\n      reasoning_tokens: z3.number().nullish()\n    }).nullish()\n  }).nullish()\n});\nvar groqChatChunkSchema = z3.union([\n  z3.object({\n    id: z3.string().nullish(),\n    created: z3.number().nullish(),\n    model: z3.string().nullish(),\n    choices: z3.array(\n      z3.object({\n        delta: z3.object({\n          content: z3.string().nullish(),\n          reasoning: z3.string().nullish(),\n          tool_calls: z3.array(\n            z3.object({\n              index: z3.number(),\n              id: z3.string().nullish(),\n              type: z3.literal(\"function\").optional(),\n              function: z3.object({\n                name: z3.string().nullish(),\n                arguments: z3.string().nullish()\n              })\n            })\n          ).nullish()\n        }).nullish(),\n        finish_reason: z3.string().nullable().optional(),\n        index: z3.number()\n      })\n    ),\n    x_groq: z3.object({\n      usage: z3.object({\n        prompt_tokens: z3.number().nullish(),\n        completion_tokens: z3.number().nullish(),\n        total_tokens: z3.number().nullish(),\n        prompt_tokens_details: z3.object({\n          cached_tokens: z3.number().nullish()\n        }).nullish(),\n        completion_tokens_details: z3.object({\n          reasoning_tokens: z3.number().nullish()\n        }).nullish()\n      }).nullish()\n    }).nullish()\n  }),\n  groqErrorDataSchema\n]);\n\n// src/groq-transcription-model.ts\nimport {\n  combineHeaders as combineHeaders2,\n  convertBase64ToUint8Array,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  mediaTypeToExtension,\n  parseProviderOptions as parseProviderOptions2,\n  postFormDataToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z5 } from \"zod/v4\";\n\n// src/groq-transcription-options.ts\nimport { lazySchema, zodSchema } from \"@ai-sdk/provider-utils\";\nimport { z as z4 } from \"zod/v4\";\nvar groqTranscriptionModelOptions = lazySchema(\n  () => zodSchema(\n    z4.object({\n      language: z4.string().nullish(),\n      prompt: z4.string().nullish(),\n      responseFormat: z4.string().nullish(),\n      temperature: z4.number().min(0).max(1).nullish(),\n      timestampGranularities: z4.array(z4.string()).nullish()\n    })\n  )\n);\n\n// src/groq-transcription-model.ts\nvar GroqTranscriptionModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    audio,\n    mediaType,\n    providerOptions\n  }) {\n    var _a, _b, _c, _d, _e;\n    const warnings = [];\n    const groqOptions = await parseProviderOptions2({\n      provider: \"groq\",\n      providerOptions,\n      schema: groqTranscriptionModelOptions\n    });\n    const formData = new FormData();\n    const blob = audio instanceof Uint8Array ? new Blob([audio]) : new Blob([convertBase64ToUint8Array(audio)]);\n    formData.append(\"model\", this.modelId);\n    const fileExtension = mediaTypeToExtension(mediaType);\n    formData.append(\n      \"file\",\n      new File([blob], \"audio\", { type: mediaType }),\n      `audio.${fileExtension}`\n    );\n    if (groqOptions) {\n      const transcriptionModelOptions = {\n        language: (_a = groqOptions.language) != null ? _a : void 0,\n        prompt: (_b = groqOptions.prompt) != null ? _b : void 0,\n        response_format: (_c = groqOptions.responseFormat) != null ? _c : void 0,\n        temperature: (_d = groqOptions.temperature) != null ? _d : void 0,\n        timestamp_granularities: (_e = groqOptions.timestampGranularities) != null ? _e : void 0\n      };\n      for (const key in transcriptionModelOptions) {\n        const value = transcriptionModelOptions[key];\n        if (value !== void 0) {\n          if (Array.isArray(value)) {\n            for (const item of value) {\n              formData.append(`${key}[]`, String(item));\n            }\n          } else {\n            formData.append(key, String(value));\n          }\n        }\n      }\n    }\n    return {\n      formData,\n      warnings\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g;\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    const { formData, warnings } = await this.getArgs(options);\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse\n    } = await postFormDataToApi({\n      url: this.config.url({\n        path: \"/audio/transcriptions\",\n        modelId: this.modelId\n      }),\n      headers: combineHeaders2(this.config.headers(), options.headers),\n      formData,\n      failedResponseHandler: groqFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler2(\n        groqTranscriptionResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      text: response.text,\n      segments: (_e = (_d = response.segments) == null ? void 0 : _d.map((segment) => ({\n        text: segment.text,\n        startSecond: segment.start,\n        endSecond: segment.end\n      }))) != null ? _e : [],\n      language: (_f = response.language) != null ? _f : void 0,\n      durationInSeconds: (_g = response.duration) != null ? _g : void 0,\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n        body: rawResponse\n      }\n    };\n  }\n};\nvar groqTranscriptionResponseSchema = z5.object({\n  text: z5.string(),\n  x_groq: z5.object({\n    id: z5.string()\n  }),\n  // additional properties are returned when `response_format: 'verbose_json'` is\n  task: z5.string().nullish(),\n  language: z5.string().nullish(),\n  duration: z5.number().nullish(),\n  segments: z5.array(\n    z5.object({\n      id: z5.number(),\n      seek: z5.number(),\n      start: z5.number(),\n      end: z5.number(),\n      text: z5.string(),\n      tokens: z5.array(z5.number()),\n      temperature: z5.number(),\n      avg_logprob: z5.number(),\n      compression_ratio: z5.number(),\n      no_speech_prob: z5.number()\n    })\n  ).nullish()\n});\n\n// src/tool/browser-search.ts\nimport { createProviderToolFactory } from \"@ai-sdk/provider-utils\";\nimport { z as z6 } from \"zod/v4\";\nvar browserSearch = createProviderToolFactory({\n  id: \"groq.browser_search\",\n  inputSchema: z6.object({})\n});\n\n// src/groq-tools.ts\nvar groqTools = {\n  browserSearch\n};\n\n// src/version.ts\nvar VERSION = true ? \"3.0.31\" : \"0.0.0-test\";\n\n// src/groq-provider.ts\nfunction createGroq(options = {}) {\n  var _a;\n  const baseURL = (_a = withoutTrailingSlash(options.baseURL)) != null ? _a : \"https://api.groq.com/openai/v1\";\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"GROQ_API_KEY\",\n        description: \"Groq\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/groq/${VERSION}`\n  );\n  const createChatModel = (modelId) => new GroqChatLanguageModel(modelId, {\n    provider: \"groq.chat\",\n    url: ({ path }) => `${baseURL}${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createLanguageModel = (modelId) => {\n    if (new.target) {\n      throw new Error(\n        \"The Groq model function cannot be called with the new keyword.\"\n      );\n    }\n    return createChatModel(modelId);\n  };\n  const createTranscriptionModel = (modelId) => {\n    return new GroqTranscriptionModel(modelId, {\n      provider: \"groq.transcription\",\n      url: ({ path }) => `${baseURL}${path}`,\n      headers: getHeaders,\n      fetch: options.fetch\n    });\n  };\n  const provider = function(modelId) {\n    return createLanguageModel(modelId);\n  };\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createLanguageModel;\n  provider.chat = createChatModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  provider.transcription = createTranscriptionModel;\n  provider.transcriptionModel = createTranscriptionModel;\n  provider.tools = groqTools;\n  return provider;\n}\nvar groq = createGroq();\nexport {\n  VERSION,\n  browserSearch,\n  createGroq,\n  groq\n};\n//# sourceMappingURL=index.mjs.map"
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-  "debugId": "BCC83C49F74BC2B964756E2164756E21",
-  "names": []
-}

bin/chunk-1a5a15s1.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/stop.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.stop,\n  Effect.fn(\"cli.service.stop\")(function* () {\n    yield* Service.stop(yield* ServiceConfig.options())\n  }),\n)\n"
-  ],
-  "mappings": ";+0BAMA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,UACnC,OAAO,QAAG,uBAAkB,OAAE,cAAU,OAAG,MACzC,WAAO,OAAQ,UAAK,WAAO,OAAc,aAAQ,MAAC,EACnD,CACH",
-  "debugId": "DE9701E7A9BDA3EC64756E2164756E21",
-  "names": []
-}

bin/chunk-1w1737xj.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/route/auth-options.ts"],
-  "sourcesContent": [
-    "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth\"\n\nexport type ApiKeyMode = \"optional\" | \"required\"\n\nexport type AuthOverride = {\n  readonly auth: Auth.Definition\n  readonly apiKey?: never\n}\n\nexport type OptionalApiKeyAuth = {\n  readonly apiKey?: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n  readonly auth?: never\n}\n\nexport type RequiredApiKeyAuth = {\n  readonly apiKey: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n  readonly auth?: never\n}\n\nexport type ProviderAuthOption<Mode extends ApiKeyMode> =\n  | AuthOverride\n  | (Mode extends \"optional\" ? OptionalApiKeyAuth : RequiredApiKeyAuth)\n\nexport type ModelOptions<Base, Mode extends ApiKeyMode> = Omit<Base, \"apiKey\" | \"auth\"> & ProviderAuthOption<Mode>\n\nexport type ModelArgs<Base, Mode extends ApiKeyMode> = Mode extends \"optional\"\n  ? readonly [options?: ModelOptions<Base, Mode>]\n  : readonly [options: ModelOptions<Base, Mode>]\n\nexport type ModelFactory<Base, Mode extends ApiKeyMode, Model> = (id: string, ...args: ModelArgs<Base, Mode>) => Model\n\n/**\n * Require at least one of the keys in `T`. Use for option shapes where any\n * subset of fields is acceptable but at least one must be present (e.g. Azure\n * accepts `resourceName` or `baseURL`).\n */\nexport type AtLeastOne<T> = {\n  [K in keyof T]: Required<Pick<T, K>> & Partial<Omit<T, K>>\n}[keyof T]\n\n/**\n * Standard bearer-auth resolution for providers: honor an explicit `auth`\n * override, otherwise resolve `apiKey` (option > config var) and apply it as\n * a bearer token.\n */\nexport const bearer = (\n  options: ProviderAuthOption<\"optional\">,\n  envVar: string | ReadonlyArray<string>,\n): Auth.Definition => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return (Array.isArray(envVar) ? envVar : [envVar])\n    .reduce(\n      (auth, name) => auth.orElse(Auth.config(name)),\n      Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\"),\n    )\n    .bearer()\n}\n\nexport * as AuthOptions from \"./auth-options\"\n"
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bin/chunk-23yc29b2.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/mini/session.shared.ts", "../tui/src/mini/variant.shared.ts", "../tui/src/mini/theme.ts", "../tui/src/mini/mono.ts"],
-  "sourcesContent": [
-    "import type { SessionMessageInfo, SessionMessageUser } from \"@opencode-ai/client/promise\"\nimport { promptCopy, promptSame } from \"./prompt.shared\"\nimport type { RunInput, RunPrompt } from \"./types\"\n\nconst LIMIT = 200\n\nexport type SessionMessages = SessionMessageInfo[]\n\ntype Turn = {\n  prompt: RunPrompt\n  provider: string | undefined\n  model: string | undefined\n  variant: string | undefined\n}\n\nexport type RunSession = {\n  first: boolean\n  turns: Turn[]\n  model?: NonNullable<RunInput[\"model\"]>\n  variant?: string\n}\n\nfunction messagePrompt(message: SessionMessageUser): RunPrompt {\n  return {\n    text: message.text,\n    parts: [\n      ...(message.files ?? []).map((file) => ({\n        type: \"file\" as const,\n        url: file.source.type === \"uri\" ? file.source.uri : `data:${file.mime};base64,${file.data}`,\n        mime: file.mime,\n        filename: file.name,\n        source: file.mention\n          ? {\n              type: \"file\",\n              path: file.name ?? (file.source.type === \"uri\" ? file.source.uri : \"inline attachment\"),\n              text: { start: file.mention.start, end: file.mention.end, value: file.mention.text },\n            }\n          : undefined,\n      })),\n      ...(message.agents ?? []).map((agent) => ({\n        type: \"agent\" as const,\n        name: agent.name,\n        source: agent.mention\n          ? { start: agent.mention.start, end: agent.mention.end, value: agent.mention.text }\n          : undefined,\n      })),\n    ],\n  }\n}\n\nexport function createSession(messages: SessionMessages): RunSession {\n  return {\n    first: messages.length === 0,\n    turns: messages.flatMap((message) =>\n      message.type === \"user\"\n        ? [{ prompt: messagePrompt(message), provider: undefined, model: undefined, variant: undefined }]\n        : [],\n    ),\n  }\n}\n\nexport async function resolveCurrentSession(\n  sdk: RunInput[\"sdk\"],\n  sessionID: string,\n  signal?: AbortSignal,\n  limit = LIMIT,\n): Promise<RunSession> {\n  const [response, session] = await Promise.all([\n    sdk.message.list({ sessionID, limit, order: \"desc\" }, ...requestOptions(signal)),\n    sdk.session.get({ sessionID }, ...requestOptions(signal)),\n  ])\n  const current = createSession(response.data.toReversed())\n  return {\n    ...current,\n    turns: current.turns.map((turn) => ({\n      ...turn,\n      provider: session.model?.providerID,\n      model: session.model?.id,\n      variant: session.model?.variant,\n    })),\n    ...(session.model && {\n      model: { providerID: session.model.providerID, modelID: session.model.id },\n      variant: session.model.variant,\n    }),\n  }\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n  return signal ? [{ signal }] : []\n}\n\nexport function sessionHistory(session: RunSession, limit = LIMIT): RunPrompt[] {\n  return session.turns\n    .map((turn) => turn.prompt)\n    .filter((prompt) => prompt.text.trim())\n    .filter((prompt, index, prompts) => index === 0 || !promptSame(prompts[index - 1], prompt))\n    .map(promptCopy)\n    .slice(-limit)\n}\n\nexport function sessionVariant(session: RunSession, model: RunInput[\"model\"]): string | undefined {\n  if (!model) return\n  if (session.model?.providerID === model.providerID && session.model.modelID === model.modelID) return session.variant\n\n  return session.turns.findLast((turn) => turn.provider === model.providerID && turn.model === model.modelID)?.variant\n}\n",
-    "// Model variant resolution and persistence.\n//\n// Variants are provider-specific reasoning effort levels (e.g., \"high\", \"max\").\n// Resolution priority: CLI --variant flag > valid session history > saved preference.\n//\n// The saved variant persists across sessions in ~/.local/state/opencode/model.json\n// so your last-used variant sticks. Cycling (ctrl+t) updates both the active\n// variant and the persisted file.\nimport { createSession, sessionVariant, type RunSession, type SessionMessages } from \"./session.shared\"\nimport type { RunInput, RunProvider } from \"./types\"\nimport { cycleModelVariant, normalizeModelVariant } from \"../model-preference\"\n\nexport function modelInfo(providers: RunProvider[] | undefined, model: NonNullable<RunInput[\"model\"]>) {\n  const provider = providers?.find((item) => item.id === model.providerID)\n  return {\n    provider: provider?.name ?? model.providerID,\n    model: provider?.models[model.modelID]?.name ?? model.modelID,\n  }\n}\n\nexport function formatModelLabel(\n  model: NonNullable<RunInput[\"model\"]>,\n  variant: string | undefined,\n  providers?: RunProvider[],\n): string {\n  const names = modelInfo(providers, model)\n  const label = variant ? ` · ${variant}` : \"\"\n  return `${names.model} · ${names.provider}${label}`\n}\n\nexport function cycleVariant(current: string | undefined, variants: string[]): string | undefined {\n  return cycleModelVariant(current, variants)\n}\n\nexport function pickVariant(model: RunInput[\"model\"], input: RunSession | SessionMessages): string | undefined {\n  return sessionVariant(Array.isArray(input) ? createSession(input) : input, model)\n}\n\nfunction fitVariant(value: string | undefined, variants: string[]): string | undefined {\n  const normalized = normalizeModelVariant(value)\n  return normalized && (variants.length === 0 || variants.includes(normalized)) ? normalized : undefined\n}\n\n// Picks the active variant. CLI flag wins, then valid session history, then the\n// saved preference. Saved and session values are dropped when the provider no\n// longer offers them.\nexport function resolveVariant(\n  input: string | undefined,\n  session: string | undefined,\n  saved: string | undefined,\n  variants: string[],\n): string | undefined {\n  if (input !== undefined) {\n    return normalizeModelVariant(input)\n  }\n\n  return fitVariant(session, variants) ?? fitVariant(saved, variants)\n}\n",
-    "// Theme resolution for direct interactive mode.\n//\n// Derives scrollback and footer colors from the terminal's actual palette.\n// resolveRunTheme() queries the renderer for the terminal's palette,\n// detects dark/light mode, builds a small system theme locally, and maps it to\n// the run footer + scrollback color model. Falls back to a hardcoded dark-mode\n// palette if detection fails.\nimport { RGBA, SyntaxStyle, type CliRenderer, type ColorInput, type TerminalColors } from \"@opentui/core\"\nimport type { TuiThemeCurrent } from \"@opencode-ai/plugin/v1/tui\"\nimport { ansiToRgba } from \"../theme/color\"\nimport { resolveThemeColors } from \"../theme/resolve\"\nimport { terminalMode } from \"../theme/system\"\nimport type { ThemeV1Json } from \"../theme/v1\"\nimport type { EntryKind, RunTuiConfig } from \"./types\"\n\ntype Tone = {\n  body: ColorInput\n  start?: ColorInput\n}\n\nexport type RunEntryTheme = Record<EntryKind, Tone>\n\nexport type RunSplashTheme = {\n  left: ColorInput\n  right: ColorInput\n  leftShadow: ColorInput\n}\n\nexport type RunFooterTheme = {\n  highlight: ColorInput\n  selected: ColorInput\n  selectedText: ColorInput\n  warning: ColorInput\n  error: ColorInput\n  muted: ColorInput\n  text: ColorInput\n  status: ColorInput\n  statusAccent: ColorInput\n  shade: ColorInput\n  surface: ColorInput\n  pane: ColorInput\n  border: ColorInput\n  line: ColorInput\n}\n\nexport type RunBlockTheme = {\n  text: ColorInput\n  muted: ColorInput\n  syntax?: SyntaxStyle\n  diffRemoved: ColorInput\n  diffAddedBg: ColorInput\n  diffRemovedBg: ColorInput\n  diffContextBg: ColorInput\n  diffHighlightAdded: ColorInput\n  diffHighlightRemoved: ColorInput\n  diffLineNumber: ColorInput\n  diffAddedLineNumberBg: ColorInput\n  diffRemovedLineNumberBg: ColorInput\n}\n\nexport type RunTheme = {\n  background: ColorInput\n  footer: RunFooterTheme\n  entry: RunEntryTheme\n  splash: RunSplashTheme\n  block: RunBlockTheme\n}\n\ntype ThemeColor = Exclude<keyof TuiThemeCurrent, \"thinkingOpacity\">\n\ntype SharedSyntaxTheme = TuiThemeCurrent & {\n  _hasSelectedListItemText: boolean\n}\n\nexport const transparent = RGBA.fromValues(0, 0, 0, 0)\n\nfunction alpha(color: RGBA, value: number): RGBA {\n  return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, value)))\n}\n\nfunction rgba(hex: string, value?: number): RGBA {\n  const color = RGBA.fromHex(hex)\n  return value === undefined ? color : alpha(color, value)\n}\n\nfunction colorMode(bg: RGBA): \"dark\" | \"light\" {\n  return luminance(bg) > 0.5 ? \"light\" : \"dark\"\n}\n\nfunction luminance(color: RGBA): number {\n  return 0.299 * color.r + 0.587 * color.g + 0.114 * color.b\n}\n\nfunction fade(color: RGBA, base: RGBA, fallback: number, scale: number, limit: number): RGBA {\n  if (color.a === 0) {\n    return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, fallback)))\n  }\n\n  const target = Math.min(limit, color.a * scale)\n  const mix = Math.min(1, target / color.a)\n\n  return RGBA.fromValues(\n    base.r + (color.r - base.r) * mix,\n    base.g + (color.g - base.g) * mix,\n    base.b + (color.b - base.b) * mix,\n    color.a,\n  )\n}\n\nfunction tint(base: RGBA, overlay: RGBA, value: number): RGBA {\n  return RGBA.fromInts(\n    Math.round((base.r + (overlay.r - base.r) * value) * 255),\n    Math.round((base.g + (overlay.g - base.g) * value) * 255),\n    Math.round((base.b + (overlay.b - base.b) * value) * 255),\n  )\n}\n\nfunction chroma(color: RGBA) {\n  return Math.max(color.r, color.g, color.b) - Math.min(color.r, color.g, color.b)\n}\n\nfunction indexedPalette(colors: TerminalColors, size: number = Math.max(colors.palette.length, 16)): RGBA[] {\n  return Array.from({ length: size }, (_, index) => {\n    const value = colors.palette[index]\n    return RGBA.fromIndex(index, value ? RGBA.fromHex(value) : ansiToRgba(index))\n  })\n}\n\nfunction srgbToLinear(value: number): number {\n  if (value <= 0.04045) {\n    return value / 12.92\n  }\n\n  return ((value + 0.055) / 1.055) ** 2.4\n}\n\nfunction oklab(color: RGBA) {\n  const r = srgbToLinear(color.r)\n  const g = srgbToLinear(color.g)\n  const b = srgbToLinear(color.b)\n\n  const l = Math.cbrt(0.4122214708 * r + 0.5363325363 * g + 0.0514459929 * b)\n  const m = Math.cbrt(0.2119034982 * r + 0.6806995451 * g + 0.1073969566 * b)\n  const s = Math.cbrt(0.0883024619 * r + 0.2817188376 * g + 0.6299787005 * b)\n\n  return {\n    l: 0.2104542553 * l + 0.793617785 * m - 0.0040720468 * s,\n    a: 1.9779984951 * l - 2.428592205 * m + 0.4505937099 * s,\n    b: 0.0259040371 * l + 0.7827717662 * m - 0.808675766 * s,\n  }\n}\n\nfunction nearestIndexed(indexed: RGBA[], rgba: RGBA): RGBA {\n  const target = oklab(rgba)\n  const hit = indexed.reduce(\n    (best, item) => {\n      const sample = oklab(item)\n      const dl = sample.l - target.l\n      const da = sample.a - target.a\n      const db = sample.b - target.b\n      const dist = dl * dl * 2 + da * da + db * db\n      if (dist >= best.dist) return best\n      return {\n        dist,\n        item,\n      }\n    },\n    {\n      dist: Number.POSITIVE_INFINITY,\n      item: indexed[0]!,\n    },\n  )\n\n  return RGBA.clone(hit.item)\n}\n\nfunction paletteColor(colors: TerminalColors, index: number): RGBA {\n  const value = colors.palette[index]\n  return value ? RGBA.fromHex(value) : ansiToRgba(index)\n}\n\nfunction splashShadow(indexed: RGBA[], base: RGBA, overlay: RGBA, value: number): RGBA {\n  const mixed = tint(base, overlay, value)\n  return nearestIndexed(indexed, mixed)\n}\n\nexport function resolveTheme(theme: ThemeV1Json, pick: \"dark\" | \"light\"): TuiThemeCurrent {\n  const resolved = resolveThemeColors(theme, pick, (code) => RGBA.fromIndex(code, ansiToRgba(code)))\n  return {\n    ...resolved.theme,\n    thinkingOpacity: resolved.thinkingOpacity,\n  }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): Record<number, RGBA> {\n  const r = bg.r * 255\n  const g = bg.g * 255\n  const b = bg.b * 255\n  const lum = 0.299 * r + 0.587 * g + 0.114 * b\n  const cast = 0.25 * (1 - chroma(bg)) ** 2\n\n  const gray = (level: number) => {\n    const factor = level / 12\n\n    if (isDark && lum < 10) {\n      const value = Math.floor(factor * 0.4 * 255)\n      return map(RGBA.fromInts(value, value, value))\n    }\n\n    if (!isDark && lum > 245) {\n      const value = Math.floor(255 - factor * 0.4 * 255)\n      return map(RGBA.fromInts(value, value, value))\n    }\n\n    const value = isDark ? lum + (255 - lum) * factor * 0.4 : lum * (1 - factor * 0.4)\n    const tone = RGBA.fromInts(Math.floor(value), Math.floor(value), Math.floor(value))\n    if (cast === 0) return map(tone)\n\n    const ratio = lum === 0 ? 0 : value / lum\n    return map(\n      tint(\n        tone,\n        RGBA.fromInts(\n          Math.floor(Math.max(0, Math.min(r * ratio, 255))),\n          Math.floor(Math.max(0, Math.min(g * ratio, 255))),\n          Math.floor(Math.max(0, Math.min(b * ratio, 255))),\n        ),\n        cast,\n      ),\n    )\n  }\n\n  return Object.fromEntries(Array.from({ length: 12 }, (_, index) => [index + 1, gray(index + 1)]))\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): RGBA {\n  const lum = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n  const gray = isDark\n    ? lum < 10\n      ? 180\n      : Math.min(Math.floor(160 + lum * 0.3), 200)\n    : lum > 245\n      ? 75\n      : Math.max(Math.floor(100 - (255 - lum) * 0.2), 60)\n\n  return map(RGBA.fromInts(gray, gray, gray))\n}\n\nexport function generateSystem(colors: TerminalColors, pick: \"dark\" | \"light\"): ThemeV1Json {\n  const bg_snapshot = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n  const fg_snapshot = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n  const bg = RGBA.defaultBackground(bg_snapshot)\n  const fg = RGBA.defaultForeground(fg_snapshot)\n  const isDark = pick === \"dark\"\n\n  const color = (index: number) => paletteColor(colors, index)\n\n  const grays = generateGrayScale(bg_snapshot, isDark, (rgba) => rgba)\n  const textMuted = generateMutedTextColor(bg_snapshot, isDark, (rgba) => rgba)\n\n  const ansi = {\n    red: color(1),\n    green: color(2),\n    yellow: color(3),\n    blue: color(4),\n    magenta: color(5),\n    cyan: color(6),\n    red_bright: color(9),\n    green_bright: color(10),\n  }\n\n  const diff_alpha = isDark ? 0.22 : 0.14\n  const diff_context_bg = grays[2]\n  const primary = ansi.cyan\n  const secondary = ansi.magenta\n\n  return {\n    theme: {\n      primary,\n      secondary,\n      accent: primary,\n      error: ansi.red,\n      warning: ansi.yellow,\n      success: ansi.green,\n      info: ansi.cyan,\n      text: fg,\n      textMuted,\n      selectedListItemText: bg,\n      background: alpha(bg, 0),\n      backgroundPanel: grays[2],\n      backgroundElement: grays[3],\n      backgroundMenu: grays[3],\n      borderSubtle: grays[6],\n      border: grays[7],\n      borderActive: grays[8],\n      diffAdded: ansi.green,\n      diffRemoved: ansi.red,\n      diffContext: grays[7],\n      diffHunkHeader: grays[7],\n      diffHighlightAdded: ansi.green_bright,\n      diffHighlightRemoved: ansi.red_bright,\n      diffAddedBg: tint(bg_snapshot, ansi.green, diff_alpha),\n      diffRemovedBg: tint(bg_snapshot, ansi.red, diff_alpha),\n      diffContextBg: diff_context_bg,\n      diffLineNumber: textMuted,\n      diffAddedLineNumberBg: tint(diff_context_bg, ansi.green, diff_alpha),\n      diffRemovedLineNumberBg: tint(diff_context_bg, ansi.red, diff_alpha),\n      markdownText: fg,\n      markdownHeading: fg,\n      markdownLink: ansi.blue,\n      markdownLinkText: ansi.cyan,\n      markdownCode: ansi.green,\n      markdownBlockQuote: ansi.yellow,\n      markdownEmph: ansi.yellow,\n      markdownStrong: fg,\n      markdownHorizontalRule: grays[7],\n      markdownListItem: ansi.blue,\n      markdownListEnumeration: ansi.cyan,\n      markdownImage: ansi.blue,\n      markdownImageText: ansi.cyan,\n      markdownCodeBlock: fg,\n      syntaxComment: textMuted,\n      syntaxKeyword: ansi.magenta,\n      syntaxFunction: ansi.blue,\n      syntaxVariable: fg,\n      syntaxString: ansi.green,\n      syntaxNumber: ansi.yellow,\n      syntaxType: ansi.cyan,\n      syntaxOperator: ansi.cyan,\n      syntaxPunctuation: fg,\n    },\n  }\n}\n\nfunction quantizeColor(indexed: RGBA[], rgba: RGBA): RGBA {\n  if (rgba.a === 0 || rgba.intent === \"default\" || rgba.intent === \"indexed\") {\n    return RGBA.clone(rgba)\n  }\n\n  return nearestIndexed(indexed, rgba)\n}\n\nfunction quantizeTheme(theme: TuiThemeCurrent, indexed: RGBA[]): TuiThemeCurrent {\n  const resolved = Object.fromEntries(\n    Object.entries(theme)\n      .filter(([key]) => key !== \"thinkingOpacity\")\n      .map(([key, value]) => [key, quantizeColor(indexed, value as RGBA)]),\n  ) as Partial<Record<ThemeColor, RGBA>>\n\n  return {\n    ...(resolved as Record<ThemeColor, RGBA>),\n    thinkingOpacity: theme.thinkingOpacity,\n  }\n}\n\nfunction splashTheme(theme: TuiThemeCurrent, indexed: RGBA[]): RunSplashTheme {\n  const left = nearestIndexed(indexed, theme.textMuted)\n  const right = nearestIndexed(indexed, theme.text)\n  return {\n    left,\n    right,\n    leftShadow: splashShadow(indexed, theme.background, left, 0.14),\n  }\n}\n\nfunction map(\n  footerTheme: TuiThemeCurrent,\n  scrollbackTheme: TuiThemeCurrent,\n  splash: RunSplashTheme,\n  syntax?: SyntaxStyle,\n): RunTheme {\n  const footerBackground = alpha(footerTheme.background, 1)\n  const footerMode = colorMode(footerBackground)\n  const shade = fade(footerTheme.backgroundMenu, footerTheme.background, 0.12, 0.56, 0.72)\n  const surface = fade(footerTheme.backgroundMenu, footerTheme.background, 0.18, 0.76, 0.9)\n  const line = fade(footerTheme.backgroundMenu, footerTheme.background, 0.24, 0.9, 0.98)\n  const statusBase = tint(footerBackground, rgba(\"#000000\"), footerMode === \"dark\" ? 0.13 : 0.06)\n  const statusAccentBase =\n    footerMode === \"dark\" ? tint(footerBackground, rgba(\"#ffffff\"), 0.06) : tint(statusBase, rgba(\"#000000\"), 0.04)\n  const collapsedStatus = footerMode === \"dark\" && luminance(statusBase) <= 0.04\n  // Pure-black backgrounds need a slight lift or the row disappears into the terminal background.\n  const status = collapsedStatus ? tint(statusBase, statusAccentBase, 0.7) : statusBase\n  const statusAccent = collapsedStatus ? tint(status, rgba(\"#ffffff\"), 0.06) : statusAccentBase\n\n  return {\n    background: footerTheme.background,\n    footer: {\n      highlight: footerTheme.primary,\n      selected: footerTheme.backgroundElement,\n      selectedText: footerTheme.selectedListItemText,\n      warning: footerTheme.warning,\n      error: footerTheme.error,\n      muted: footerTheme.textMuted,\n      text: footerTheme.text,\n      status,\n      statusAccent,\n      shade,\n      surface,\n      pane: footerTheme.backgroundMenu,\n      border: footerTheme.border,\n      line,\n    },\n    entry: {\n      system: {\n        body: scrollbackTheme.textMuted,\n      },\n      user: {\n        body: scrollbackTheme.primary,\n      },\n      assistant: {\n        body: scrollbackTheme.text,\n      },\n      reasoning: {\n        body: scrollbackTheme.textMuted,\n      },\n      tool: {\n        body: scrollbackTheme.text,\n        start: scrollbackTheme.textMuted,\n      },\n      error: {\n        body: scrollbackTheme.error,\n      },\n    },\n    splash,\n    block: {\n      text: scrollbackTheme.text,\n      muted: scrollbackTheme.textMuted,\n      syntax,\n      diffRemoved: scrollbackTheme.diffRemoved,\n      diffAddedBg: transparent,\n      diffRemovedBg: transparent,\n      diffContextBg: transparent,\n      diffHighlightAdded: scrollbackTheme.diffHighlightAdded,\n      diffHighlightRemoved: scrollbackTheme.diffHighlightRemoved,\n      diffLineNumber: scrollbackTheme.diffLineNumber,\n      diffAddedLineNumberBg: scrollbackTheme.diffAddedLineNumberBg,\n      diffRemovedLineNumberBg: scrollbackTheme.diffRemovedLineNumberBg,\n    },\n  }\n}\n\nconst seed = {\n  highlight: RGBA.fromIndex(6, rgba(\"#38bdf8\")),\n  muted: RGBA.fromIndex(8, rgba(\"#64748b\")),\n  text: RGBA.defaultForeground(rgba(\"#f8fafc\")),\n  panel: rgba(\"#0f172a\"),\n  success: RGBA.fromIndex(2, rgba(\"#22c55e\")),\n  warning: RGBA.fromIndex(3, rgba(\"#f59e0b\")),\n  error: RGBA.fromIndex(1, rgba(\"#ef4444\")),\n}\n\nfunction tone(body: ColorInput, start?: ColorInput): Tone {\n  return {\n    body,\n    start,\n  }\n}\n\nconst fallbackSplashIndexed = Array.from({ length: 256 }, (_, index) => RGBA.fromIndex(index))\nconst fallbackSplashLeft = RGBA.fromIndex(67)\nconst fallbackSplashRight = RGBA.fromIndex(110)\n\nexport const RUN_THEME_FALLBACK: RunTheme = {\n  background: RGBA.fromValues(0, 0, 0, 0),\n  footer: {\n    highlight: seed.highlight,\n    selected: seed.text,\n    selectedText: seed.panel,\n    warning: seed.warning,\n    error: seed.error,\n    muted: seed.muted,\n    text: seed.text,\n    status: tint(seed.panel, rgba(\"#000000\"), 0.12),\n    statusAccent: tint(seed.panel, rgba(\"#ffffff\"), 0.06),\n    shade: alpha(seed.panel, 0.68),\n    surface: alpha(seed.panel, 0.86),\n    pane: seed.panel,\n    border: seed.muted,\n    line: alpha(seed.panel, 0.96),\n  },\n  entry: {\n    system: tone(seed.muted),\n    user: tone(seed.highlight),\n    assistant: tone(seed.text),\n    reasoning: tone(seed.muted),\n    tool: tone(seed.text, seed.muted),\n    error: tone(seed.error),\n  },\n  splash: {\n    left: fallbackSplashLeft,\n    right: fallbackSplashRight,\n    leftShadow: splashShadow(fallbackSplashIndexed, RGBA.fromValues(0, 0, 0, 0), fallbackSplashLeft, 0.14),\n  },\n  block: {\n    text: seed.text,\n    muted: seed.muted,\n    diffRemoved: seed.error,\n    diffAddedBg: alpha(seed.success, 0.18),\n    diffRemovedBg: alpha(seed.error, 0.18),\n    diffContextBg: alpha(seed.panel, 0.72),\n    diffHighlightAdded: seed.success,\n    diffHighlightRemoved: seed.error,\n    diffLineNumber: seed.muted,\n    diffAddedLineNumberBg: alpha(seed.success, 0.12),\n    diffRemovedLineNumberBg: alpha(seed.error, 0.12),\n  },\n}\n\nfunction monoTheme(mode: \"dark\" | \"light\"): RunTheme {\n  const foreground = RGBA.defaultForeground(mode === \"light\" ? \"#000000\" : \"#ffffff\")\n  const background = RGBA.defaultBackground(mode === \"light\" ? \"#ffffff\" : \"#000000\")\n  return {\n    background,\n    footer: {\n      highlight: foreground,\n      selected: background,\n      selectedText: foreground,\n      warning: foreground,\n      error: foreground,\n      muted: foreground,\n      text: foreground,\n      status: background,\n      statusAccent: background,\n      shade: background,\n      surface: background,\n      pane: background,\n      border: foreground,\n      line: background,\n    },\n    entry: {\n      system: tone(foreground),\n      user: tone(foreground),\n      assistant: tone(foreground),\n      reasoning: tone(foreground),\n      tool: tone(foreground),\n      error: tone(foreground),\n    },\n    splash: {\n      left: foreground,\n      right: foreground,\n      leftShadow: background,\n    },\n    block: {\n      text: foreground,\n      muted: foreground,\n      diffRemoved: foreground,\n      diffAddedBg: background,\n      diffRemovedBg: background,\n      diffContextBg: background,\n      diffHighlightAdded: foreground,\n      diffHighlightRemoved: foreground,\n      diffLineNumber: foreground,\n      diffAddedLineNumberBg: background,\n      diffRemovedLineNumberBg: background,\n    },\n  }\n}\n\nexport const RUN_THEME_MONO = monoTheme(\"dark\")\nconst RUN_THEME_MONO_LIGHT = monoTheme(\"light\")\n\nexport async function resolveRunTheme(\n  renderer: CliRenderer,\n  config?: RunTuiConfig[\"theme\"],\n  mono = false,\n): Promise<RunTheme> {\n  if (mono) {\n    const mode =\n      config?.mode === \"light\" || config?.mode === \"dark\"\n        ? config.mode\n        : (renderer.themeMode ?? (await renderer.waitForThemeMode(300)))\n    return mode === \"light\" ? RUN_THEME_MONO_LIGHT : RUN_THEME_MONO\n  }\n  try {\n    const colors = await renderer.getPalette({\n      size: 256,\n    })\n    const bg = colors.defaultBackground ?? colors.palette[0]\n    if (!bg) {\n      return RUN_THEME_FALLBACK\n    }\n\n    // Palette-only terminal reloads can leave renderer.themeMode stale, but\n    // ANSI slot zero is not the terminal background when OSC 11 is absent.\n    const pick =\n      config?.mode === \"dark\" || config?.mode === \"light\"\n        ? config.mode\n        : (terminalMode(colors) ?? renderer.themeMode ?? colorMode(RGBA.fromHex(bg)))\n    const { generateSyntax } = await import(\"../theme\")\n    const indexed = indexedPalette(colors, 256)\n    const footerTheme = resolveTheme(generateSystem(colors, pick), pick)\n    const scrollbackTheme = quantizeTheme(footerTheme, indexed)\n    const syntaxTheme: SharedSyntaxTheme = {\n      ...scrollbackTheme,\n      _hasSelectedListItemText: true,\n    }\n    return map(footerTheme, scrollbackTheme, splashTheme(scrollbackTheme, indexed), generateSyntax(syntaxTheme))\n  } catch {\n    return RUN_THEME_FALLBACK\n  }\n}\n",
-    "import {\n  BoxRenderable,\n  CodeRenderable,\n  MarkdownRenderable,\n  RGBA,\n  Renderable,\n  StyledText,\n  TextRenderable,\n  TextTableRenderable,\n  isStyledText,\n  stringToStyledText,\n  type BorderCharacters,\n  type CliRendererExternalOutputEvent,\n  type TreeSitterClient,\n} from \"@opentui/core\"\n\nconst prefixes: Record<number, string> = {\n  0x2192: \"->\",\n  0x2190: \"<-\",\n  0x2731: \"*\",\n  0x2699: \"*\",\n  0x2716: \"!\",\n  0x2717: \"!\",\n  0x25c8: \"*\",\n  0x25c9: \"*\",\n  0x27f3: \"*\",\n}\n\nconst markdown: Record<number, string> = {\n  ...prefixes,\n  0x00a0: \" \",\n  0x00b7: \"-\",\n  0x2010: \"-\",\n  0x2011: \"-\",\n  0x2012: \"-\",\n  0x2013: \"-\",\n  0x2014: \"--\",\n  0x2018: \"'\",\n  0x2019: \"'\",\n  0x201c: '\"',\n  0x201d: '\"',\n  0x2022: \"*\",\n  0x2026: \"...\",\n  0x2191: \"up\",\n  0x2193: \"down\",\n}\n\nconst asciiBorder: BorderCharacters = {\n  topLeft: \"+\",\n  topRight: \"+\",\n  bottomLeft: \"+\",\n  bottomRight: \"+\",\n  horizontal: \"-\",\n  vertical: \"|\",\n  topT: \"+\",\n  bottomT: \"+\",\n  leftT: \"+\",\n  rightT: \"+\",\n  cross: \"+\",\n}\n\nconst hooked = new WeakSet<Renderable>()\n\nexport const monoMarkdownTableOptions = {\n  style: \"columns\" as const,\n  widthMode: \"content\" as const,\n  borders: false,\n}\n\nexport function monoMarkdownRenderable(renderable: MarkdownRenderable): void {\n  monoRenderable(renderable)\n}\n\nfunction monoRenderable(renderable: Renderable): void {\n  if (hooked.has(renderable)) return\n  hooked.add(renderable)\n  // Markdown reconciles nested lists and tables without calling renderNode.\n  // Hook the actual tree so future descendants are transformed before layout.\n  const add = renderable.add.bind(renderable)\n  renderable.add = (child, index) => {\n    if (child instanceof Renderable) monoRenderable(child)\n    return add(child, index)\n  }\n\n  if (renderable instanceof BoxRenderable) renderable.customBorderChars = asciiBorder\n  if (renderable instanceof CodeRenderable) monoCode(renderable)\n  if (renderable instanceof TextRenderable) renderable.content = monoStyledText(renderable.content)\n  if (renderable instanceof TextTableRenderable) monoTable(renderable)\n  renderable.getChildren().forEach(monoRenderable)\n}\n\nfunction monoCode(renderable: CodeRenderable): void {\n  const onChunks = renderable.onChunks\n  const prose = renderable.filetype === \"markdown\" && onChunks !== undefined\n  renderable.onChunks = async (chunks, context) => monoChunks((await onChunks?.(chunks, context)) ?? chunks)\n  renderable.treeSitterClient = monoTreeSitter(renderable.treeSitterClient)\n\n  const initialDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"initialStyledText\")\n  const contentDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"content\")\n  if (!initialDescriptor?.set || !contentDescriptor?.get || !contentDescriptor.set) return\n  const initialSetter = initialDescriptor.set.bind(renderable)\n  const contentGetter = contentDescriptor.get.bind(renderable)\n  const contentSetter = contentDescriptor.set.bind(renderable)\n  const initial = Reflect.get(renderable, \"_initialStyledText\")\n  Object.defineProperty(renderable, \"initialStyledText\", {\n    configurable: true,\n    set(value: StyledText | undefined) {\n      initialSetter(value ? monoStyledText(value) : value)\n    },\n  })\n  Object.defineProperty(renderable, \"content\", {\n    configurable: true,\n    get: contentGetter,\n    set(value: string) {\n      if (!prose || !isStyledText(Reflect.get(renderable, \"_initialStyledText\"))) {\n        renderable.drawUnstyledText = true\n        renderable.initialStyledText = stringToStyledText(value)\n      }\n      contentSetter(value)\n    },\n  })\n\n  if (isStyledText(initial)) {\n    renderable.initialStyledText = initial\n  } else {\n    renderable.drawUnstyledText = true\n    renderable.initialStyledText = stringToStyledText(renderable.content)\n  }\n  if (!renderable.drawUnstyledText) return\n\n  // Refresh the eager buffer with the transformed initial text. Highlighted\n  // chunks continue through onChunks without changing the Markdown source.\n  const content = renderable.content\n  renderable.content = \"\"\n  renderable.content = content\n}\n\nfunction monoTreeSitter(client: TreeSitterClient): TreeSitterClient {\n  return new Proxy(client, {\n    get(target, property) {\n      if (property !== \"highlightOnce\") return Reflect.get(target, property, target)\n      // Keep parser failures on the chunk path instead of OpenTUI's raw-text fallback.\n      return (...args: Parameters<TreeSitterClient[\"highlightOnce\"]>) =>\n        target.highlightOnce(...args).catch(() => ({ highlights: [] }))\n    },\n  })\n}\n\nfunction monoTable(renderable: TextTableRenderable): void {\n  const descriptor = Object.getOwnPropertyDescriptor(TextTableRenderable.prototype, \"content\")\n  if (!descriptor?.get || !descriptor.set) return\n  const cells = new WeakMap<StyledText[\"chunks\"], StyledText[\"chunks\"]>()\n  const content = renderable.content\n  Object.defineProperty(renderable, \"content\", {\n    configurable: true,\n    get: () => descriptor.get!.call(renderable),\n    set: (value: TextTableRenderable[\"content\"]) => {\n      descriptor.set!.call(\n        renderable,\n        value.map((row) =>\n          row.map((cell) => {\n            if (!cell) return cell\n            const cached = cells.get(cell)\n            if (cached) return cached\n            const next = monoChunks(cell)\n            cells.set(cell, next)\n            return next\n          }),\n        ),\n      )\n    },\n  })\n  renderable.content = content\n}\n\nfunction monoStyledText(value: StyledText): StyledText {\n  return new StyledText(monoChunks(value.chunks))\n}\n\nfunction monoChunks(value: StyledText[\"chunks\"]): StyledText[\"chunks\"] {\n  return value.map((chunk) => ({ ...chunk, text: monoText(chunk.text) }))\n}\n\nfunction monoText(value: string): string {\n  return value.replace(/[^\\t\\n\\x20-\\x7e]/gu, (char) => markdown[char.codePointAt(0)!] ?? \"?\")\n}\n\nexport function monoSnapshot(event: CliRendererExternalOutputEvent): void {\n  const buffers = event.snapshot.buffers\n  const chars = buffers.char\n  for (let index = 0; index < chars.length; index += 1) {\n    const point = chars[index]\n    if (point <= 0x7f) continue\n    const offset = index * 4\n    event.snapshot.setCell(\n      index % event.snapshot.width,\n      Math.floor(index / event.snapshot.width),\n      monoCell(point),\n      RGBA.fromArray(buffers.fg.subarray(offset, offset + 4)),\n      RGBA.fromArray(buffers.bg.subarray(offset, offset + 4)),\n      buffers.attributes[index],\n    )\n  }\n}\n\nfunction monoCell(point: number): string {\n  const kind = point >>> 30\n  if (kind === 2) return \"?\"\n  if (kind === 3) return \" \"\n  if (point === 0x2500) return \"-\"\n  if (point === 0x2502) return \"|\"\n  return markdown[point]?.[0] ?? \"?\"\n}\n\nexport function monoPrefix(value: string, mono: boolean): string {\n  if (!mono) return value\n  const point = value.codePointAt(0)\n  if (point === undefined) return value\n  const prefix = prefixes[point]\n  if (!prefix) return value\n  return prefix + value.slice(point > 0xffff ? 2 : 1)\n}\n\nexport function monoToolText(value: string, mono: boolean): string {\n  const result = monoPrefix(value, mono)\n  if (!mono) return result\n  const separator = ` ${String.fromCodePoint(0xb7)} `\n  const index = result.lastIndexOf(separator)\n  if (index === -1) return result\n  const head = result.slice(0, index)\n  if (!head.includes(\" completed\") && head !== \"patch\" && !/^\\d+ questions$/.test(head)) return result\n  return result.slice(0, index) + \" - \" + result.slice(index + separator.length)\n}\n\nexport function monoShortcut(value: string, mono: boolean): string {\n  if (!mono) return value\n  return value\n    .replaceAll(String.fromCodePoint(0x2192), \"right\")\n    .replaceAll(String.fromCodePoint(0x2190), \"left\")\n    .replaceAll(String.fromCodePoint(0x2191), \"up\")\n    .replaceAll(String.fromCodePoint(0x2193), \"down\")\n}\n\nexport function monoTruncate(value: string, width: number, mono: boolean): string {\n  if (!mono || value.length <= width) return value\n  if (width <= 3) return \".\".repeat(Math.max(0, width))\n  return value.slice(0, width - 3) + \"...\"\n}\n\nexport function monoTruncateMiddle(value: string, width: number, mono: boolean): string {\n  if (!mono || value.length <= width) return value\n  if (width <= 3) return \".\".repeat(Math.max(0, width))\n  const available = width - 3\n  const left = Math.ceil(available / 2)\n  return value.slice(0, left) + \"...\" + value.slice(value.length - (available - left))\n}\n"
-  ],
-  "mappings": 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-  "debugId": "ADD0FD8794751D5064756E2164756E21",
-  "names": []
-}

bin/chunk-2an88601.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/anthropic-messages.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMError,\n  LLMEvent,\n  mergeJsonRecords,\n  Usage,\n  type CacheHint,\n  type FinishReasonDetails,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderOptions,\n  type ProviderMetadata,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport * as Cache from \"./utils/cache\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"anthropic-messages\"\nconst MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\n\nexport type ThinkingInput =\n  | {\n      readonly type: \"adaptive\"\n      readonly display?: \"summarized\" | \"omitted\"\n    }\n  | {\n      readonly type: \"disabled\"\n    }\n  | ({ readonly type: \"enabled\" } & (\n      | { readonly budgetTokens: number; readonly budget_tokens?: number }\n      | { readonly budgetTokens?: number; readonly budget_tokens: number }\n    ))\n\nexport interface OptionsInput {\n  readonly [key: string]: unknown\n  readonly thinking?: ThinkingInput\n  readonly effort?: string\n}\n\nexport type ProviderOptionsInput = ProviderOptions & {\n  readonly anthropic?: OptionsInput\n}\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst AnthropicCacheControl = Schema.Struct({\n  type: Schema.tag(\"ephemeral\"),\n  ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n})\n\nconst AnthropicTextBlock = Schema.Struct({\n  type: Schema.tag(\"text\"),\n  text: Schema.String,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTextBlock = Schema.Schema.Type<typeof AnthropicTextBlock>\n\nconst AnthropicImageBlock = Schema.Struct({\n  type: Schema.tag(\"image\"),\n  source: Schema.Struct({\n    type: Schema.tag(\"base64\"),\n    media_type: Schema.String,\n    data: Schema.String,\n  }),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>\n\nconst AnthropicDocumentBlock = Schema.Struct({\n  type: Schema.tag(\"document\"),\n  source: Schema.Struct({\n    type: Schema.tag(\"base64\"),\n    media_type: Schema.Literal(\"application/pdf\"),\n    data: Schema.String,\n  }),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicDocumentBlock = Schema.Schema.Type<typeof AnthropicDocumentBlock>\n\nconst AnthropicThinkingBlock = Schema.Struct({\n  type: Schema.tag(\"thinking\"),\n  thinking: Schema.String,\n  signature: Schema.optional(Schema.String),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\n\n// Safety-filtered thinking arrives as an opaque encrypted `data` payload with\n// no visible text. It must round-trip verbatim so multi-turn thinking + tool\n// use conversations keep their reasoning continuity.\nconst AnthropicRedactedThinkingBlock = Schema.Struct({\n  type: Schema.tag(\"redacted_thinking\"),\n  data: Schema.String,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicToolUseBlock = Schema.Struct({\n  type: Schema.tag(\"tool_use\"),\n  id: Schema.String,\n  name: Schema.String,\n  input: Schema.Unknown,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicToolUseBlock = Schema.Schema.Type<typeof AnthropicToolUseBlock>\n\nconst AnthropicServerToolUseBlock = Schema.Struct({\n  type: Schema.tag(\"server_tool_use\"),\n  id: Schema.String,\n  name: Schema.String,\n  input: Schema.Unknown,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolUseBlock = Schema.Schema.Type<typeof AnthropicServerToolUseBlock>\n\n// Server tool result blocks: web_search_tool_result, code_execution_tool_result,\n// and web_fetch_tool_result. The provider executes the tool and inlines the\n// structured result into the assistant turn — there is no client tool_result\n// round-trip. We round-trip the structured `content` payload as opaque JSON so\n// the next request can echo it back when continuing the conversation.\nconst AnthropicServerToolResultType = Schema.Literals([\n  \"web_search_tool_result\",\n  \"code_execution_tool_result\",\n  \"web_fetch_tool_result\",\n])\ntype AnthropicServerToolResultType = Schema.Schema.Type<typeof AnthropicServerToolResultType>\n\nconst AnthropicServerToolResultBlock = Schema.Struct({\n  type: AnthropicServerToolResultType,\n  tool_use_id: Schema.String,\n  content: Schema.Unknown,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>\n\n// Anthropic accepts either a plain string or an ordered array of text, image, and\n// document blocks inside `tool_result.content`. The array form keeps media as native\n// model input instead of JSON-stringifying base64 into prompt text.\nconst AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicDocumentBlock])\n\nconst AnthropicToolResultBlock = Schema.Struct({\n  type: Schema.tag(\"tool_result\"),\n  tool_use_id: Schema.String,\n  content: Schema.Union([Schema.String, Schema.Array(AnthropicToolResultContent)]),\n  is_error: Schema.optional(Schema.Boolean),\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicUserBlock = Schema.Union([\n  AnthropicTextBlock,\n  AnthropicImageBlock,\n  AnthropicDocumentBlock,\n  AnthropicToolResultBlock,\n])\ntype AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>\nconst AnthropicAssistantBlock = Schema.Union([\n  AnthropicTextBlock,\n  AnthropicThinkingBlock,\n  AnthropicRedactedThinkingBlock,\n  AnthropicToolUseBlock,\n  AnthropicServerToolUseBlock,\n  AnthropicServerToolResultBlock,\n])\ntype AnthropicAssistantBlock = Schema.Schema.Type<typeof AnthropicAssistantBlock>\ntype AnthropicToolResultBlock = Schema.Schema.Type<typeof AnthropicToolResultBlock>\n\nconst AnthropicMessage = Schema.Union([\n  Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(AnthropicUserBlock) }),\n  Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(AnthropicAssistantBlock) }),\n  Schema.Struct({ role: Schema.Literal(\"system\"), content: Schema.Array(AnthropicTextBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype AnthropicMessage = Schema.Schema.Type<typeof AnthropicMessage>\n\nconst AnthropicTool = Schema.Struct({\n  name: Schema.String,\n  description: Schema.String,\n  input_schema: JsonObject,\n  cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTool = Schema.Schema.Type<typeof AnthropicTool>\n\nconst AnthropicToolChoice = Schema.Union([\n  Schema.Struct({ type: Schema.Literals([\"auto\", \"any\", \"none\"]) }),\n  Schema.Struct({ type: Schema.tag(\"tool\"), name: Schema.String }),\n])\n\nconst AnthropicThinking = Schema.Union([\n  Schema.Struct({\n    type: Schema.tag(\"enabled\"),\n    budget_tokens: Schema.Number,\n  }),\n  Schema.Struct({\n    type: Schema.tag(\"adaptive\"),\n    display: Schema.optional(Schema.Literals([\"summarized\", \"omitted\"])),\n  }),\n  Schema.Struct({\n    type: Schema.tag(\"disabled\"),\n  }),\n])\n\nconst AnthropicOutputConfig = Schema.Struct({\n  effort: Schema.optional(Schema.String),\n})\n\nconst AnthropicBodyFields = {\n  model: Schema.String,\n  system: optionalArray(AnthropicTextBlock),\n  messages: Schema.Array(AnthropicMessage),\n  tools: optionalArray(AnthropicTool),\n  tool_choice: Schema.optional(AnthropicToolChoice),\n  stream: Schema.Literal(true),\n  max_tokens: Schema.Number,\n  temperature: Schema.optional(Schema.Number),\n  top_p: Schema.optional(Schema.Number),\n  top_k: Schema.optional(Schema.Number),\n  stop_sequences: optionalArray(Schema.String),\n  thinking: Schema.optional(AnthropicThinking),\n  output_config: Schema.optional(AnthropicOutputConfig),\n}\nexport const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)\nexport type AnthropicMessagesBody = Schema.Schema.Type<typeof AnthropicMessagesBody>\n\nconst AnthropicUsage = Schema.StructWithRest(\n  Schema.Struct({\n    input_tokens: Schema.optional(Schema.Number),\n    output_tokens: Schema.optional(Schema.Number),\n    cache_creation_input_tokens: optionalNull(Schema.Number),\n    cache_read_input_tokens: optionalNull(Schema.Number),\n    server_tool_use: optionalNull(\n      Schema.StructWithRest(\n        Schema.Struct({ web_search_requests: Schema.optional(Schema.Number) }),\n        [Schema.Record(Schema.String, Schema.Unknown)],\n      ),\n    ),\n    output_tokens_details: optionalNull(\n      Schema.StructWithRest(\n        Schema.Struct({ thinking_tokens: Schema.optional(Schema.Number) }),\n        [Schema.Record(Schema.String, Schema.Unknown)],\n      ),\n    ),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype AnthropicUsage = Schema.Schema.Type<typeof AnthropicUsage>\n\nconst AnthropicStreamBlock = Schema.Struct({\n  type: Schema.String,\n  id: Schema.optional(Schema.String),\n  name: Schema.optional(Schema.String),\n  text: Schema.optional(Schema.String),\n  thinking: Schema.optional(Schema.String),\n  signature: Schema.optional(Schema.String),\n  // redacted_thinking blocks arrive whole in content_block_start with the\n  // encrypted payload in `data`; there is no streaming delta sequence.\n  data: Schema.optional(Schema.String),\n  input: Schema.optional(Schema.Unknown),\n  // *_tool_result blocks arrive whole as content_block_start (no streaming\n  // delta) with the structured payload in `content` and the originating\n  // server_tool_use id in `tool_use_id`.\n  tool_use_id: Schema.optional(Schema.String),\n  content: Schema.optional(Schema.Unknown),\n})\n\nconst AnthropicStreamDelta = Schema.Struct({\n  type: Schema.optional(Schema.String),\n  text: Schema.optional(Schema.String),\n  thinking: Schema.optional(Schema.String),\n  partial_json: Schema.optional(Schema.String),\n  signature: Schema.optional(Schema.String),\n  stop_reason: optionalNull(Schema.String),\n  stop_sequence: optionalNull(Schema.String),\n})\n\nconst AnthropicEvent = Schema.Struct({\n  type: Schema.String,\n  index: Schema.optional(Schema.Number),\n  message: Schema.optional(Schema.Struct({ usage: Schema.optional(AnthropicUsage) })),\n  content_block: Schema.optional(AnthropicStreamBlock),\n  delta: Schema.optional(AnthropicStreamDelta),\n  usage: Schema.optional(AnthropicUsage),\n  // `type` and `message` are both required per Anthropic's spec, but\n  // OpenAI-compatible proxies and gateway translations occasionally drop one\n  // or the other; mark them optional so a partial payload still parses and\n  // the parser can fall back to whichever field is populated.\n  error: Schema.optional(\n    Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),\n  ),\n})\ntype AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>\n\ninterface ParserState {\n  readonly tools: ToolStream.State<number>\n  readonly reasoningSignatures: Readonly<Record<number, string>>\n  readonly usage?: Usage\n  readonly pendingFinish?: {\n    readonly reason: FinishReasonDetails\n    readonly providerMetadata?: ProviderMetadata\n  }\n  readonly lifecycle: Lifecycle.State\n}\n\nconst invalid = ProviderShared.invalidRequest\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Anthropic accepts at most 4 explicit cache_control breakpoints per request,\n// across `tools`, `system`, and `messages`. Beyond the cap the API returns a\n// 400 — so the lowering layer counts emitted markers and silently drops any\n// that exceed it.\nconst ANTHROPIC_BREAKPOINT_CAP = 4\n\nconst EPHEMERAL_5M = { type: \"ephemeral\" as const }\nconst EPHEMERAL_1H = { type: \"ephemeral\" as const, ttl: \"1h\" as const }\n\nconst cacheControl = (breakpoints: Cache.Breakpoints, cache: CacheHint | undefined) => {\n  if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n  if (breakpoints.remaining <= 0) {\n    breakpoints.dropped += 1\n    return undefined\n  }\n  breakpoints.remaining -= 1\n  return Cache.ttlBucket(cache.ttlSeconds) === \"1h\" ? EPHEMERAL_1H : EPHEMERAL_5M\n}\n\nconst anthropicMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ anthropic: metadata })\n\nconst signatureFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n  const anthropic = metadata?.anthropic\n  if (!ProviderShared.isRecord(anthropic)) return undefined\n  return typeof anthropic.signature === \"string\" ? anthropic.signature : undefined\n}\n\nconst redactedDataFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n  const anthropic = metadata?.anthropic\n  if (!ProviderShared.isRecord(anthropic)) return undefined\n  return typeof anthropic.redactedData === \"string\" ? anthropic.redactedData : undefined\n}\n\nconst lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition, inputSchema: JsonSchema): AnthropicTool => ({\n  name: tool.name,\n  description: tool.description,\n  input_schema: inputSchema,\n  cache_control: cacheControl(breakpoints, tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Anthropic Messages\", toolChoice, {\n    auto: () => ({ type: \"auto\" as const }),\n    none: () => ({ type: \"none\" as const }),\n    required: () => ({ type: \"any\" as const }),\n    tool: (name) => ({ type: \"tool\" as const, name }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n  type: \"tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n  type: \"server_tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\n// Server tool result blocks are typed by name. Anthropic ships three today;\n// extend this list when new server tools land. The block content is the\n// structured payload returned by the provider, which we round-trip as-is.\nconst serverToolResultType = (name: string): AnthropicServerToolResultType | undefined => {\n  if (name === \"web_search\") return \"web_search_tool_result\"\n  if (name === \"code_execution\") return \"code_execution_tool_result\"\n  if (name === \"web_fetch\") return \"web_fetch_tool_result\"\n  return undefined\n}\n\nconst lowerServerToolResult = Effect.fn(\"AnthropicMessages.lowerServerToolResult\")(function* (part: ToolResultPart) {\n  const wireType = serverToolResultType(part.name)\n  if (!wireType)\n    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)\n  // Prefer the provider-owned replay payload; fall back to the result value for\n  // histories constructed directly from provider events.\n  const payload = part.providerMetadata?.anthropic?.[\"result\"] ?? part.result.value\n  return { type: wireType, tool_use_id: part.id, content: payload } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerMedia = Effect.fn(\"AnthropicMessages.lowerMedia\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\"Anthropic Messages\", part, MEDIA_MIMES)\n  if (media.mime === \"application/pdf\")\n    return {\n      type: \"document\" as const,\n      source: {\n        type: \"base64\" as const,\n        media_type: \"application/pdf\" as const,\n        data: media.base64,\n      },\n    } satisfies AnthropicDocumentBlock\n  return {\n    type: \"image\" as const,\n    source: {\n      type: \"base64\" as const,\n      media_type: media.mime,\n      data: media.base64,\n    },\n  } satisfies AnthropicImageBlock\n})\n\n// Tool results may carry structured text, images, and documents. Keep media as provider-native\n// content instead of JSON-stringifying base64 into a prompt string.\nconst lowerToolResultContentItem = Effect.fn(\"AnthropicMessages.lowerToolResultContentItem\")(function* (\n  item: Tool.Content,\n) {\n  if (item.type === \"text\") return { type: \"text\" as const, text: item.text } satisfies AnthropicTextBlock\n  return yield* lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name })\n})\n\nconst lowerToolResultContent = Effect.fn(\"AnthropicMessages.lowerToolResultContent\")(function* (part: ToolResultPart) {\n  // Text / json / error results stay as a string for backward compatibility\n  // with existing cassettes and provider expectations.\n  if (part.result.type !== \"content\") return ProviderShared.toolResultText(part)\n  // Preserve the narrowed array element type when compiled through a consumer package.\n  const content: ReadonlyArray<Tool.Content> = part.result.value\n  return yield* Effect.forEach(content, lowerToolResultContentItem)\n})\n\n// Mid-conversation system messages are a native Claude API feature only for\n// Opus 4.8. Other Anthropic models intentionally use the same visible wrapped-\n// user fallback as non-Anthropic routes rather than sending a role they reject.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => String(request.model.id) === \"claude-opus-4-8\"\n\nconst endsInServerToolUse = (message: LLMRequest[\"messages\"][number]) => {\n  const last = message.content.at(-1)\n  return message.role === \"assistant\" && last?.type === \"tool-call\" && last.providerExecuted === true\n}\n\nconst canUseNativeSystemUpdate = (messages: LLMRequest[\"messages\"], index: number) => {\n  const previous = messages[index - 1]\n  const next = messages[index + 1]\n  return (\n    previous !== undefined &&\n    previous.role !== \"system\" &&\n    (previous.role === \"user\" || previous.role === \"tool\" || endsInServerToolUse(previous)) &&\n    next?.role !== \"system\" &&\n    (next === undefined || next.role === \"assistant\")\n  )\n}\n\nconst splitsLocalToolResults = (messages: LLMRequest[\"messages\"], index: number) => {\n  const pending = new Set<string>()\n  for (const message of messages.slice(0, index)) {\n    for (const part of message.content) {\n      if (message.role === \"assistant\" && part.type === \"tool-call\" && part.providerExecuted !== true)\n        pending.add(part.id)\n      if (message.role === \"tool\" && part.type === \"tool-result\") pending.delete(part.id)\n    }\n  }\n  return pending.size > 0\n}\n\nconst lowerNativeSystemUpdate = Effect.fn(\"AnthropicMessages.lowerNativeSystemUpdate\")(function* (\n  message: LLMRequest[\"messages\"][number],\n  breakpoints: Cache.Breakpoints,\n) {\n  const content = yield* ProviderShared.systemUpdateText(\"Anthropic Messages\", message)\n  return {\n    role: \"system\" as const,\n    content: content.map((part) => ({\n      type: \"text\" as const,\n      text: part.text,\n      cache_control: cacheControl(breakpoints, part.cache),\n    })),\n  }\n})\n\nconst lowerMessages = Effect.fn(\"AnthropicMessages.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: Cache.Breakpoints,\n) {\n  const messages: AnthropicMessage[] = []\n\n  for (const [index, message] of request.messages.entries()) {\n    if (message.role === \"system\") {\n      if (splitsLocalToolResults(request.messages, index))\n        return yield* invalid(\"Anthropic Messages system updates cannot split a local tool call from its tool result\")\n      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {\n        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))\n        continue\n      }\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Anthropic Messages\", message)\n      const block = { type: \"text\" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, block] }\n      else messages.push({ role: \"user\", content: [block] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: AnthropicUserBlock[] = []\n      for (const part of message.content) {\n        if (part.type === \"text\") {\n          content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* lowerMedia(part))\n          continue\n        }\n        return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"user\", [\"text\", \"media\"])\n      }\n      messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const content: AnthropicAssistantBlock[] = []\n      for (const part of message.content) {\n        if (part.type === \"text\") {\n          content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          // Mirrors Vercel's @ai-sdk/anthropic: a signature marks visible\n          // thinking; only signature-less parts carrying redactedData\n          // round-trip as opaque redacted_thinking blocks.\n          const signature = part.encrypted ?? signatureFromMetadata(part.providerMetadata)\n          const redactedData = redactedDataFromMetadata(part.providerMetadata)\n          if (signature === undefined && redactedData !== undefined) {\n            content.push({ type: \"redacted_thinking\", data: redactedData })\n            continue\n          }\n          content.push({ type: \"thinking\", thinking: part.text, signature })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(part.providerExecuted ? lowerServerToolCall(part) : lowerToolCall(part))\n          continue\n        }\n        if (part.type === \"tool-result\" && part.providerExecuted) {\n          content.push(yield* lowerServerToolResult(part))\n          continue\n        }\n        return yield* invalid(\n          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,\n        )\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: AnthropicToolResultBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"tool\", [\"tool-result\"])\n      content.push({\n        type: \"tool_result\",\n        tool_use_id: part.id,\n        content: yield* lowerToolResultContent(part),\n        is_error: part.result.type === \"error\" ? true : undefined,\n        cache_control: cacheControl(breakpoints, part.cache),\n      })\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\nconst resolveOptions = Effect.fn(\"AnthropicMessages.resolveOptions\")(function* (request: LLMRequest) {\n  const input = request.providerOptions?.anthropic\n  return {\n    thinking: yield* resolveThinking(input?.thinking),\n    effort: typeof input?.effort === \"string\" ? input.effort : undefined,\n  }\n})\n\nconst resolveThinking = Effect.fn(\"AnthropicMessages.resolveThinking\")(function* (input: unknown) {\n  if (!ProviderShared.isRecord(input)) return undefined\n  if (input.type === \"adaptive\") {\n    const display =\n      input.display === \"summarized\"\n        ? (\"summarized\" as const)\n        : input.display === \"omitted\"\n          ? (\"omitted\" as const)\n          : undefined\n    return { type: \"adaptive\" as const, ...(display === undefined ? {} : { display }) }\n  }\n  if (input.type === \"disabled\") return { type: \"disabled\" as const }\n  if (input.type !== \"enabled\") return undefined\n  const budget =\n    typeof input.budgetTokens === \"number\"\n      ? input.budgetTokens\n      : typeof input.budget_tokens === \"number\"\n        ? input.budget_tokens\n        : undefined\n  if (budget === undefined)\n    return yield* ProviderShared.invalidRequest(\"Anthropic thinking provider option requires budgetTokens\")\n  return { type: \"enabled\" as const, budget_tokens: budget }\n})\n\nconst fromRequest = Effect.fn(\"AnthropicMessages.fromRequest\")(function* (request: LLMRequest) {\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const outputLimit = request.model.defaults?.limits?.output ?? request.model.route.defaults.limits?.output ?? 4096\n  // Allocate the 4-breakpoint budget in invalidation order: tools → system →\n  // messages. Tools live highest in the cache hierarchy, so when callers\n  // over-mark we keep their tool hints and shed the message-tail ones first.\n  const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)\n  const tools =\n    request.tools.length === 0\n      ? undefined\n      : request.tools.map((tool) =>\n          lowerTool(\n            breakpoints,\n            tool,\n            ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n          ),\n        )\n  // Anthropic rejects tool_choice when tools are absent; \"none\" is only meaningful with tools present.\n  const toolChoice = tools === undefined || !request.toolChoice ? undefined : yield* lowerToolChoice(request.toolChoice)\n  const system =\n    request.system.length === 0\n      ? undefined\n      : request.system.map((part) => ({\n          type: \"text\" as const,\n          text: part.text,\n          cache_control: cacheControl(breakpoints, part.cache),\n        }))\n  const messages = yield* lowerMessages(request, breakpoints)\n  if (breakpoints.dropped > 0) {\n    yield* Effect.logWarning(\n      `Anthropic Messages: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${ANTHROPIC_BREAKPOINT_CAP} per request.`,\n    )\n  }\n  const options = yield* resolveOptions(request)\n  return {\n    model: request.model.id,\n    system,\n    messages,\n    tools,\n    tool_choice: toolChoice,\n    stream: true as const,\n    max_tokens: generation?.maxTokens ?? outputLimit,\n    temperature: generation?.temperature,\n    top_p: generation?.topP,\n    top_k: generation?.topK,\n    stop_sequences: generation?.stop,\n    thinking: options.thinking,\n    output_config: options.effort === undefined ? undefined : { effort: options.effort },\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n  if (reason === \"end_turn\" || reason === \"stop_sequence\" || reason === \"pause_turn\") return \"stop\"\n  if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n  if (reason === \"tool_use\") return \"tool-calls\"\n  if (reason === \"refusal\") return \"content-filter\"\n  return \"unknown\"\n}\n\n// Anthropic reports the non-overlapping breakdown natively — its\n// `input_tokens` is the *non-cached* count per the Messages API docs, with\n// cache reads and writes as separate fields. We sum them to derive the\n// inclusive `inputTokens` the rest of the contract expects. Extended\n// thinking tokens are included in `output_tokens`; newer responses also\n// expose that subset through `output_tokens_details.thinking_tokens`.\nconst mapUsage = (usage: AnthropicUsage | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const nonCached = usage.input_tokens\n  const cacheRead = usage.cache_read_input_tokens ?? undefined\n  const cacheWrite = usage.cache_creation_input_tokens ?? undefined\n  const inputTokens = ProviderShared.sumTokens(nonCached, cacheRead, cacheWrite)\n  return new Usage({\n    inputTokens,\n    outputTokens: usage.output_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cacheRead,\n    cacheWriteInputTokens: cacheWrite,\n    reasoningTokens: usage.output_tokens_details?.thinking_tokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, usage.output_tokens, undefined),\n    providerMetadata: { anthropic: usage },\n  })\n}\n\n// Anthropic emits usage on `message_start` and again on `message_delta` — the\n// final delta carries the authoritative totals. Right-biased merge: each\n// field prefers `right` when defined, falls back to `left`. `inputTokens` is\n// recomputed from the merged breakdown so the inclusive total stays\n// consistent with `nonCached + cacheRead + cacheWrite`.\nconst mergeUsage = (left: Usage | undefined, right: Usage | undefined) => {\n  if (!left) return right\n  if (!right) return left\n  const nonCachedInputTokens = right.nonCachedInputTokens ?? left.nonCachedInputTokens\n  const cacheReadInputTokens = right.cacheReadInputTokens ?? left.cacheReadInputTokens\n  const cacheWriteInputTokens = right.cacheWriteInputTokens ?? left.cacheWriteInputTokens\n  const inputTokens = ProviderShared.sumTokens(nonCachedInputTokens, cacheReadInputTokens, cacheWriteInputTokens)\n  const outputTokens = right.outputTokens ?? left.outputTokens\n  const reasoningTokens = right.reasoningTokens ?? left.reasoningTokens\n  return new Usage({\n    inputTokens,\n    outputTokens,\n    nonCachedInputTokens,\n    cacheReadInputTokens,\n    cacheWriteInputTokens,\n    reasoningTokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, outputTokens, undefined),\n    providerMetadata: {\n      anthropic:\n        mergeJsonRecords(left.providerMetadata?.[\"anthropic\"], right.providerMetadata?.[\"anthropic\"]) ?? {},\n    },\n  })\n}\n\n// Server tool result blocks come whole in `content_block_start` (no streaming\n// delta sequence). We convert the payload to a `tool-result` event with\n// `providerExecuted: true`. The runtime appends it to the assistant message\n// for round-trip; downstream consumers can inspect `result.value` for the\n// structured payload.\nconst SERVER_TOOL_RESULT_NAMES: Record<AnthropicServerToolResultType, string> = {\n  web_search_tool_result: \"web_search\",\n  code_execution_tool_result: \"code_execution\",\n  web_fetch_tool_result: \"web_fetch\",\n}\n\nconst isServerToolResultType = (type: string): type is AnthropicServerToolResultType => type in SERVER_TOOL_RESULT_NAMES\n\nconst serverToolResultEvent = (block: NonNullable<AnthropicEvent[\"content_block\"]>): LLMEvent | undefined => {\n  if (!block.type || !isServerToolResultType(block.type)) return undefined\n  const errorPayload =\n    typeof block.content === \"object\" && block.content !== null && \"type\" in block.content\n      ? String((block.content as Record<string, unknown>).type)\n      : \"\"\n  const isError = errorPayload.endsWith(\"_tool_result_error\")\n  return LLMEvent.toolResult({\n    id: block.tool_use_id ?? \"\",\n    name: SERVER_TOOL_RESULT_NAMES[block.type],\n    result: isError ? { type: \"error\", value: block.content } : { type: \"json\", value: block.content },\n    providerExecuted: true,\n    // The complete payload is irreducible provider replay state: subsequent\n    // stateless requests must round-trip the typed result block verbatim.\n    providerMetadata: anthropicMetadata({ blockType: block.type, result: block.content }),\n  })\n}\n\ntype StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]\n\nconst NO_EVENTS: StepResult[\"1\"] = []\n\nconst onMessageStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const usage = mapUsage(event.message?.usage)\n  return [usage ? { ...state, usage: mergeUsage(state.usage, usage) } : state, NO_EVENTS]\n}\n\nconst onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const block = event.content_block\n  if (!block) return [state, NO_EVENTS]\n\n  if ((block.type === \"tool_use\" || block.type === \"server_tool_use\") && event.index !== undefined) {\n    const events: LLMEvent[] = []\n    const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n    return [\n      {\n        ...state,\n        lifecycle,\n        tools: ToolStream.start(state.tools, event.index, {\n          id: block.id ?? String(event.index),\n          name: block.name ?? \"\",\n          input:\n            block.input !== undefined && (!ProviderShared.isRecord(block.input) || Object.keys(block.input).length > 0)\n              ? ProviderShared.encodeJson(block.input)\n              : undefined,\n          providerExecuted: block.type === \"server_tool_use\",\n        }),\n      },\n      [\n        ...events,\n        LLMEvent.toolInputStart({\n          id: block.id ?? String(event.index),\n          name: block.name ?? \"\",\n          providerExecuted: block.type === \"server_tool_use\" ? true : undefined,\n        }),\n      ],\n    ]\n  }\n\n  if (block.type === \"text\" && block.text !== undefined) {\n    const events: LLMEvent[] = []\n    const id = `text-${event.index ?? 0}`\n    const lifecycle = Lifecycle.textStart(state.lifecycle, events, id)\n    return [\n      { ...state, lifecycle: block.text ? Lifecycle.textDelta(lifecycle, events, id, block.text) : lifecycle },\n      events,\n    ]\n  }\n\n  if (block.type === \"thinking\" && block.thinking !== undefined) {\n    const events: LLMEvent[] = []\n    const id = `reasoning-${event.index ?? 0}`\n    const providerMetadata = block.signature === undefined ? undefined : anthropicMetadata({ signature: block.signature })\n    const lifecycle = Lifecycle.reasoningStart(state.lifecycle, events, id, providerMetadata)\n    return [\n      {\n        ...state,\n        lifecycle: block.thinking\n          ? Lifecycle.reasoningDelta(lifecycle, events, id, block.thinking, providerMetadata)\n          : lifecycle,\n        reasoningSignatures:\n          event.index === undefined || block.signature === undefined\n            ? state.reasoningSignatures\n            : { ...state.reasoningSignatures, [event.index]: block.signature },\n      },\n      events,\n    ]\n  }\n\n  // Redacted thinking surfaces as an empty reasoning part carrying the opaque\n  // payload as `redactedData` metadata (same model as Vercel's\n  // @ai-sdk/anthropic). The existing content_block_stop closes the part.\n  if (block.type === \"redacted_thinking\" && block.data !== undefined) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningStart(\n          state.lifecycle,\n          events,\n          `reasoning-${event.index ?? 0}`,\n          anthropicMetadata({ redactedData: block.data }),\n        ),\n      },\n      events,\n    ]\n  }\n\n  const result = serverToolResultEvent(block)\n  if (!result) return [state, NO_EVENTS]\n  const events: LLMEvent[] = []\n  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]\n}\n\nconst onContentBlockDelta = Effect.fn(\"AnthropicMessages.onContentBlockDelta\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  const delta = event.delta\n\n  if (delta?.type === \"text_delta\" && delta.text) {\n    const events: LLMEvent[] = []\n    return [\n      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${event.index ?? 0}`, delta.text) },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"thinking_delta\" && delta.thinking) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${event.index ?? 0}`, delta.thinking),\n      },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"signature_delta\" && delta.signature) {\n    const index = event.index ?? 0\n    return [\n      {\n        ...state,\n        reasoningSignatures: { ...state.reasoningSignatures, [index]: delta.signature },\n      },\n      NO_EVENTS,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"input_json_delta\" && event.index !== undefined) {\n    if (!delta.partial_json) return [state, NO_EVENTS] satisfies StepResult\n    const result = ToolStream.appendExisting(\n      ADAPTER,\n      state.tools,\n      event.index,\n      delta.partial_json,\n      \"Anthropic Messages tool argument delta is missing its tool call\",\n    )\n    if (ToolStream.isError(result)) return yield* result\n    const events: LLMEvent[] = []\n    const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n    events.push(...result.events)\n    return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n  }\n\n  return [state, NO_EVENTS] satisfies StepResult\n})\n\nconst onContentBlockStop = Effect.fn(\"AnthropicMessages.onContentBlockStop\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  if (event.index === undefined) return [state, NO_EVENTS] satisfies StepResult\n  const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)\n  const events: LLMEvent[] = []\n  const resultEvents = result.events ?? []\n  const signature = state.reasoningSignatures[event.index]\n  const lifecycle = resultEvents.length\n    ? Lifecycle.stepStart(state.lifecycle, events)\n    : Lifecycle.reasoningEnd(\n        Lifecycle.textEnd(state.lifecycle, events, `text-${event.index}`),\n        events,\n        `reasoning-${event.index}`,\n        signature === undefined ? undefined : anthropicMetadata({ signature }),\n      )\n  events.push(...resultEvents)\n  const reasoningSignatures = { ...state.reasoningSignatures }\n  delete reasoningSignatures[event.index]\n  return [{ ...state, lifecycle, tools: result.tools, reasoningSignatures }, events] satisfies StepResult\n})\n\nconst onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const usage = mergeUsage(state.usage, mapUsage(event.usage))\n  return [\n    {\n      ...state,\n      usage,\n      pendingFinish: {\n        reason: {\n          normalized: mapFinishReason(event.delta?.stop_reason),\n          raw: event.delta?.stop_reason ?? undefined,\n        },\n        providerMetadata:\n          event.delta?.stop_sequence === null || event.delta?.stop_sequence === undefined\n            ? undefined\n            : anthropicMetadata({ stopSequence: event.delta.stop_sequence }),\n      },\n    },\n    NO_EVENTS,\n  ]\n}\n\nconst onMessageStop = (state: ParserState): StepResult => {\n  const events: LLMEvent[] = []\n  const lifecycle = Lifecycle.finish(state.lifecycle, events, {\n    reason: state.pendingFinish?.reason ?? {\n      normalized: \"unknown\",\n      raw: undefined,\n    },\n    usage: state.usage,\n    providerMetadata: state.pendingFinish?.providerMetadata,\n  })\n  return [{ ...state, lifecycle }, events]\n}\n\n// Prefix `error.type` so overloads, rate limits, and quota errors are visible\n// even when the provider message is generic or empty.\nconst providerErrorMessage = (event: AnthropicEvent): string => {\n  const type = event.error?.type\n  const message = event.error?.message\n  if (type && message) return `${type}: ${message}`\n  return message || type || \"Anthropic Messages stream error\"\n}\n\nconst onError = (event: AnthropicEvent) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"stream\",\n    reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }),\n  })\n\nconst step = (state: ParserState, event: AnthropicEvent) => {\n  if (event.type === \"message_start\") return Effect.succeed(onMessageStart(state, event))\n  if (event.type === \"content_block_start\") return Effect.succeed(onContentBlockStart(state, event))\n  if (event.type === \"content_block_delta\") return onContentBlockDelta(state, event)\n  if (event.type === \"content_block_stop\") return onContentBlockStop(state, event)\n  if (event.type === \"message_delta\") return Effect.succeed(onMessageDelta(state, event))\n  if (event.type === \"message_stop\") return Effect.succeed(onMessageStop(state))\n  if (event.type === \"error\") return onError(event)\n  return Effect.succeed<StepResult>([state, NO_EVENTS])\n}\n\n// =============================================================================\n// Protocol And Anthropic Route\n// =============================================================================\n/**\n * The Anthropic Messages protocol — request body construction, body schema,\n * and the streaming-event state machine. Used by native Anthropic Cloud and\n * (once registered) Vertex Anthropic / Bedrock-hosted Anthropic passthrough.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: AnthropicMessagesBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(AnthropicEvent),\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      reasoningSignatures: {},\n      lifecycle: Lifecycle.initial(),\n    }),\n    step,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"anthropic\",\n  providerMetadataKey: \"anthropic\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  framing: Framing.sse,\n  headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages\"\n"
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bin/chunk-2fmfeknw.js.map

-{
-  "version": 3,
-  "sources": ["../core/src/util/slug.ts"],
-  "sourcesContent": [
-    "export namespace Slug {\n  const ADJECTIVES = [\n    \"brave\",\n    \"calm\",\n    \"clever\",\n    \"cosmic\",\n    \"crisp\",\n    \"curious\",\n    \"eager\",\n    \"gentle\",\n    \"glowing\",\n    \"happy\",\n    \"hidden\",\n    \"jolly\",\n    \"kind\",\n    \"lucky\",\n    \"mighty\",\n    \"misty\",\n    \"neon\",\n    \"nimble\",\n    \"playful\",\n    \"proud\",\n    \"quick\",\n    \"quiet\",\n    \"shiny\",\n    \"silent\",\n    \"stellar\",\n    \"sunny\",\n    \"swift\",\n    \"tidy\",\n    \"witty\",\n  ] as const\n\n  const NOUNS = [\n    \"cabin\",\n    \"cactus\",\n    \"canyon\",\n    \"circuit\",\n    \"comet\",\n    \"eagle\",\n    \"engine\",\n    \"falcon\",\n    \"forest\",\n    \"garden\",\n    \"harbor\",\n    \"island\",\n    \"knight\",\n    \"lagoon\",\n    \"meadow\",\n    \"moon\",\n    \"mountain\",\n    \"nebula\",\n    \"orchid\",\n    \"otter\",\n    \"panda\",\n    \"pixel\",\n    \"planet\",\n    \"river\",\n    \"rocket\",\n    \"sailor\",\n    \"squid\",\n    \"star\",\n    \"tiger\",\n    \"wizard\",\n    \"wolf\",\n  ] as const\n\n  export function create() {\n    return [\n      ADJECTIVES[Math.floor(Math.random() * ADJECTIVES.length)],\n      NOUNS[Math.floor(Math.random() * NOUNS.length)],\n    ].join(\"-\")\n  }\n}\n"
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bin/chunk-300vg8x3.js.map

-{
-  "version": 3,
-  "sources": ["src/services/service-config.ts"],
-  "sourcesContent": [
-    "import { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"../version\"\nimport { Hash } from \"@opencode-ai/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n  hostname: Schema.optional(Schema.String),\n  port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n  password: Schema.optional(Schema.String),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"next\") return \"service.json\"\n  return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"next\") return 0xc0de\n  if (channel === \"local\") return 0xc0df\n  return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"local\") return\n  return `service-${Hash.fast(channel)}.json`\n}\n\nexport function versionBelongsToChannel(\n  version: string | undefined,\n  channel = OPENCODE_CHANNEL,\n  installedVersion = OPENCODE_VERSION,\n) {\n  if (version === undefined) return false\n  if (version === installedVersion) return true\n  const prefix = `0.0.0-${channel}-`\n  if (!version.startsWith(prefix)) return false\n  return /^\\d+(?:\\.\\d+)?$/.test(version.slice(prefix.length))\n}\n\nexport const migrateRegistration = Effect.fnUntraced(function* (\n  legacy: string,\n  file: string,\n  channel = OPENCODE_CHANNEL,\n  installedVersion = OPENCODE_VERSION,\n) {\n  const fs = yield* FileSystem.FileSystem\n  const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n  if (Option.isNone(text)) return\n  const registration = yield* decodeRegistration(text.value).pipe(Effect.option)\n  if (Option.isNone(registration)) return\n  if (!versionBelongsToChannel(registration.value.version, channel, installedVersion)) return\n  yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nexport const migrateConfig = Effect.fnUntraced(function* (legacy: string, file: string) {\n  const fs = yield* FileSystem.FileSystem\n  const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n  if (Option.isNone(text)) return\n  if (Option.isNone(yield* decodeInfo(text.value).pipe(Effect.option))) return\n  yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nfunction configKey(key: string): Key {\n  if (key === \"hostname\" || key === \"port\" || key === \"password\") return key\n  throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n  const fs = yield* FileSystem.FileSystem\n  const global = yield* Global.Service\n  const name = filename()\n  const legacy = legacyFilename()\n  const file = path.join(global.state, name)\n  return {\n    fs,\n    file,\n    legacyConfigFile: legacy ? path.join(global.config, legacy) : undefined,\n    legacyRegistrationFiles: [\n      ...(legacy ? [path.join(global.state, legacy)] : []),\n      ...(name !== \"service.json\" && OPENCODE_CHANNEL !== \"local\" ? [path.join(global.state, \"service.json\")] : []),\n    ],\n    configFile: path.join(global.config, name),\n  }\n})\n\nexport const options = Effect.fnUntraced(function* () {\n  const { file, legacyRegistrationFiles } = yield* paths\n  yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n  return {\n    file,\n    version: OPENCODE_VERSION,\n    command: [...selfCommand(), \"serve\", \"--service\"],\n  }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n  const { fs, configFile, legacyConfigFile } = yield* paths\n  if (legacyConfigFile) yield* migrateConfig(legacyConfigFile, configFile)\n  return yield* fs.readFileString(configFile).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.catch(() => Effect.succeed({} as Info)),\n  )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n  const { fs, configFile } = yield* paths\n  const temp = configFile + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n  yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n  yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n  const existing = yield* read()\n  if (value === undefined && existing.password) return existing.password\n  const next = value ?? randomBytes(32).toString(\"base64url\")\n\n  // Keep one private credential across server restarts so discovered clients\n  // can reconnect without exposing a password flag or environment variable.\n  yield* write({ ...existing, password: next })\n  return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string) {\n  if (key === undefined) {\n    const { password: _password, ...safe } = yield* read()\n    return JSON.stringify(safe, null, 2)\n  }\n  switch (configKey(key)) {\n    case \"hostname\": {\n      return (yield* read()).hostname ?? \"\"\n    }\n    case \"port\": {\n      const port = (yield* read()).port\n      return port === undefined ? \"\" : String(port)\n    }\n    case \"password\": {\n      return yield* password()\n    }\n  }\n  throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), hostname: value })\n      return\n    }\n    case \"port\": {\n      const port = Number(value)\n      if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), port })\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      yield* password(value)\n      return\n    }\n  }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      const { hostname: _hostname, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"port\": {\n      yield* Service.stop(yield* options())\n      const { port: _port, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      const { password: _password, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n  }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n"
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-  "debugId": "2D13A0CE1C270A6364756E2164756E21",
-  "names": []
-}

bin/chunk-3crvf8fj.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/api.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nconst methods = new Set([\"delete\", \"get\", \"head\", \"options\", \"patch\", \"post\", \"put\"])\n\ntype Operation = {\n  operationId?: string\n}\n\ntype OpenApi = {\n  paths?: Record<string, Record<string, Operation>>\n}\n\nexport default Runtime.handler(\n  Commands.commands.api,\n  Effect.fn(\"cli.api\")(function* (input) {\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n      mismatch: \"ignore\",\n    })\n    const endpoint = server.endpoint\n    const params = Option.getOrElse(input.param, () => ({}))\n    const request = yield* resolveRequest(endpoint, input.request, params)\n    const headers = new Headers(Service.headers(endpoint))\n    for (const header of input.header) {\n      const index = header.indexOf(\":\")\n      if (index < 1) return yield* Effect.fail(new Error(`Invalid header, expected name:value: ${header}`))\n      headers.set(header.slice(0, index).trim(), header.slice(index + 1).trim())\n    }\n    const body = Option.getOrUndefined(input.data)\n    if (body !== undefined && !headers.has(\"content-type\")) headers.set(\"content-type\", \"application/json\")\n\n    const response = yield* Effect.tryPromise(() =>\n      fetch(new URL(request.path, endpoint.url), {\n        method: request.method,\n        headers,\n        body,\n      }),\n    )\n    const output = yield* Effect.promise(() => response.text())\n    if (output) process.stdout.write(output + (output.endsWith(EOL) ? \"\" : EOL))\n  }),\n)\n\nexport function resolveOperation(spec: OpenApi, operationID: string, params: Record<string, string>) {\n  for (const [path, operations] of Object.entries(spec.paths ?? {})) {\n    for (const [method, operation] of Object.entries(operations)) {\n      if (!methods.has(method) || operation.operationId !== operationID) continue\n      return { method: method.toUpperCase(), path: interpolate(path, params) }\n    }\n  }\n  throw new Error(`Operation not found: ${operationID}`)\n}\n\nexport function rawRequest(input: readonly string[]) {\n  if (input.length !== 2 || !methods.has(input[0].toLowerCase()) || !input[1].startsWith(\"/\")) return\n  return { method: input[0].toUpperCase(), path: input[1] }\n}\n\nfunction resolveRequest(endpoint: Endpoint, input: readonly string[], params: Record<string, string>) {\n  const raw = rawRequest(input)\n  if (raw) return Effect.succeed(raw)\n  if (input.length !== 1) return Effect.fail(new Error(\"Expected an operation name or an HTTP method and path\"))\n  return Effect.tryPromise(async () => {\n    const response = await fetch(new URL(\"/openapi.json\", endpoint.url), { headers: Service.headers(endpoint) })\n    if (!response.ok) throw new Error(`Failed to load OpenAPI document: HTTP ${response.status}`)\n    return resolveOperation((await response.json()) as OpenApi, input[0], params)\n  })\n}\n\nfunction interpolate(path: string, params: Record<string, string>) {\n  const used = new Set<string>()\n  const pathname = path.replaceAll(/\\{([^}]+)\\}/g, (_, name: string) => {\n    const value = params[name]\n    if (value === undefined) throw new Error(`Missing path parameter: ${name}`)\n    used.add(name)\n    return encodeURIComponent(value)\n  })\n  const query = new URLSearchParams(Object.entries(params).filter(([name]) => !used.has(name))).toString()\n  return query ? `${pathname}?${query}` : pathname\n}\n"
-  ],
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-  "debugId": "F2D6BCD4F0E4487164756E2164756E21",
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-}

bin/chunk-3dz46zxs.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/pair.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode } from \"@opencode-ai/client/promise\"\nimport { renderUnicodeCompact } from \"uqr\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServiceConfig } from \"../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.pair,\n  Effect.fn(\"cli.pair\")(function* () {\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const password = yield* ServiceConfig.password()\n    const server = yield* Effect.tryPromise(() =>\n      OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) }).server.get(),\n    )\n    const info = { urls: server.urls, username: \"opencode\", password }\n    process.stdout.write(\n      [\n        \"\",\n        `  URLs      ${info.urls[0] ?? \"(none)\"}`,\n        ...info.urls.slice(1).map((url) => `            ${url}`),\n        `  Username  ${info.username}`,\n        `  Password  ${info.password}`,\n        \"\",\n        \"  Scan to pair\",\n        \"\",\n        renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n          .split(EOL)\n          .map((line) => \"  \" + line)\n          .join(EOL),\n        \"\",\n      ].join(EOL) + EOL,\n    )\n\n    const hostname = new URL(endpoint.url).hostname\n    if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n    process.stderr.write(\n      `  Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`,\n    )\n  }),\n)\n"
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-}

bin/chunk-3pgf34zz.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/editor.ts", "../tui/src/editor-zed-sqlite.bun.ts", "../tui/src/editor-zed.ts"],
-  "sourcesContent": [
-    "import type { CliRenderer } from \"@opentui/core\"\nimport { existsSync, readdirSync, readFileSync, statSync } from \"node:fs\"\nimport { readFile, rm, writeFile } from \"node:fs/promises\"\nimport os from \"node:os\"\nimport path from \"node:path\"\nimport { spawn } from \"node:child_process\"\nimport type { Stream } from \"node:stream\"\nimport { resolveZedDbPath, resolveZedSelection } from \"./editor-zed\"\n\nexport { normalizePromptContent } from \"./prompt/content\"\n\ntype EditorStdio = \"inherit\" | \"pipe\" | \"ignore\" | number | Stream\n\nexport async function openEditor(input: { value: string; renderer: CliRenderer; cwd?: string; stdin?: EditorStdio }) {\n  const editor = process.env.VISUAL || process.env.EDITOR\n  if (!editor) return\n  const file = path.join(os.tmpdir(), `${Date.now()}.md`)\n  await writeFile(file, input.value)\n  input.renderer.suspend()\n  input.renderer.currentRenderBuffer.clear()\n  try {\n    await new Promise<void>((resolve, reject) => {\n      const parts = editor.split(\" \")\n      const child = spawn(parts[0]!, [...parts.slice(1), file], {\n        cwd: input.cwd && existsSync(input.cwd) ? input.cwd : process.cwd(),\n        stdio: [input.stdin ?? \"inherit\", \"inherit\", \"inherit\"],\n        shell: process.platform === \"win32\",\n      })\n      child.on(\"error\", reject)\n      child.on(\"exit\", (code, signal) => {\n        if (code === 0) return resolve()\n        reject(new Error(`Editor exited with ${signal ? `signal ${signal}` : `code ${code}`}`))\n      })\n    })\n    return (await readFile(file, \"utf8\")) || undefined\n  } finally {\n    await rm(file, { force: true }).catch(() => {})\n    input.renderer.currentRenderBuffer.clear()\n    input.renderer.resume()\n    input.renderer.requestRender()\n  }\n}\n\nexport function discoverEditorConnection(directory: string) {\n  const root = path.join(os.homedir(), \".claude\", \"ide\")\n  const contains = (parent: string) => {\n    const resolved = path.resolve(parent)\n    const relative = path.relative(resolved, path.resolve(directory))\n    return relative === \"\" || (!relative.startsWith(\"..\") && !path.isAbsolute(relative)) ? resolved.length : 0\n  }\n  try {\n    return readdirSync(root)\n      .filter((entry) => entry.endsWith(\".lock\"))\n      .flatMap((entry) => {\n        const file = path.join(root, entry)\n        const port = Number.parseInt(path.basename(file, \".lock\"), 10)\n        if (!Number.isInteger(port) || port <= 0 || port > 65535) return []\n        try {\n          const value = JSON.parse(readFileSync(file, \"utf8\")) as Record<string, unknown>\n          if (value.transport !== undefined && value.transport !== \"ws\") return []\n          const folders = Array.isArray(value.workspaceFolders)\n            ? value.workspaceFolders.filter((item): item is string => typeof item === \"string\")\n            : []\n          const score = Math.max(0, ...folders.map(contains))\n          if (!score) return []\n          return [\n            {\n              url: `ws://127.0.0.1:${port}`,\n              authToken: typeof value.authToken === \"string\" ? value.authToken : undefined,\n              source: `lock:${port}`,\n              score,\n              mtime: statSync(file).mtimeMs,\n            },\n          ]\n        } catch {\n          return []\n        }\n      })\n      .sort((left, right) => right.score - left.score || right.mtime - left.mtime)\n      .map(({ url, authToken, source }) => ({ url, authToken, source }))[0]\n  } catch {\n    return undefined\n  }\n}\n\nexport const editorIntegration = {\n  connection: discoverEditorConnection,\n  selection: (directory: string) => resolveZedSelection(resolveZedDbPath() ?? \"\", directory),\n}\n",
-    "export { Database } from \"bun:sqlite\"\n",
-    "import { Database } from \"#zed-sqlite\"\nimport { statSync } from \"node:fs\"\nimport { readFile as readFileAsync } from \"node:fs/promises\"\nimport os from \"node:os\"\nimport path from \"node:path\"\nimport { Option, Schema } from \"effect\"\nimport type { EditorSelection } from \"./context/editor\"\n\nconst ZedEditorRowSchema = Schema.Struct({\n  item_kind: Schema.String,\n  editor_id: Schema.NullOr(Schema.Number),\n  workspace_id: Schema.Number,\n  workspace_paths: Schema.NullOr(Schema.String),\n  timestamp: Schema.String,\n  buffer_path: Schema.NullOr(Schema.String),\n})\n\nconst ZedSelectionRowSchema = Schema.Struct({\n  selection_start: Schema.NullOr(Schema.Number),\n  selection_end: Schema.NullOr(Schema.Number),\n})\n\nconst ZedEditorContentsSchema = Schema.Struct({\n  contents: Schema.NullOr(Schema.String),\n})\n\nconst decodeZedEditorRow = Schema.decodeUnknownOption(ZedEditorRowSchema)\nconst decodeZedSelectionRow = Schema.decodeUnknownOption(ZedSelectionRowSchema)\nconst decodeZedEditorContents = Schema.decodeUnknownOption(ZedEditorContentsSchema)\n\nconst utf8 = new TextEncoder()\n\ntype ZedEditorRow = Schema.Schema.Type<typeof ZedEditorRowSchema>\ntype ZedActiveEditorRow = ZedEditorRow & { item_kind: \"Editor\"; editor_id: number }\n\nexport type ZedSelectionResult =\n  | { type: \"selection\"; selection: EditorSelection }\n  | { type: \"empty\" }\n  | { type: \"unavailable\" }\n\nexport async function resolveZedSelection(dbPath: string, cwd = process.cwd()): Promise<ZedSelectionResult> {\n  const active = queryZedActiveEditor(dbPath, cwd)\n  if (active.type !== \"row\") return active\n\n  const row = active.row\n  if (!row.buffer_path) return { type: \"empty\" }\n\n  const selections = queryZedEditorSelections(dbPath, row)\n  if (selections.type !== \"selections\") return selections\n  const byteRanges = selections.selections\n    .flatMap((selection) => {\n      if (selection.selection_start == null || selection.selection_end == null) return []\n      return [\n        {\n          start: Math.min(selection.selection_start, selection.selection_end),\n          end: Math.max(selection.selection_start, selection.selection_end),\n        },\n      ]\n    })\n    .sort((left, right) => left.start - right.start || left.end - right.end)\n  if (byteRanges.length === 0) return { type: \"unavailable\" }\n\n  const contents = queryZedEditorContents(dbPath, row)\n  const text =\n    contents.type === \"contents\" && contents.contents != null\n      ? contents.contents\n      : await readFileAsync(row.buffer_path, \"utf8\").catch(() => undefined)\n  if (text == null) return { type: \"unavailable\" }\n\n  const ranges = byteRanges.map((range) => {\n    const startOffset = utf8ByteOffsetToStringIndex(text, range.start)\n    const endOffset = utf8ByteOffsetToStringIndex(text, range.end)\n    return {\n      text: text.slice(startOffset, endOffset),\n      selection: offsetsToSelection(text, startOffset, endOffset),\n    }\n  })\n\n  return {\n    type: \"selection\",\n    selection: {\n      filePath: row.buffer_path,\n      source: \"zed\",\n      ranges,\n    },\n  }\n}\n\nfunction queryZedActiveEditor(dbPath: string, cwd: string) {\n  let db: Database | undefined\n  try {\n    db = new Database(dbPath, { readonly: true })\n    const raw = db\n      .query(\n        `select\n          i.kind as item_kind,\n          e.item_id as editor_id,\n          i.workspace_id as workspace_id,\n          w.paths as workspace_paths,\n          w.timestamp as timestamp,\n          e.buffer_path as buffer_path\n        from items i\n        join panes p on p.pane_id = i.pane_id and p.workspace_id = i.workspace_id\n        join workspaces w on w.workspace_id = i.workspace_id\n        left join editors e on e.item_id = i.item_id and e.workspace_id = i.workspace_id\n        where i.active = 1 and p.active = 1\n        order by w.timestamp desc`,\n      )\n      .all()\n\n    const rows = raw.flatMap((row) => {\n      const parsed = decodeZedEditorRow(row)\n      return Option.isSome(parsed) ? [parsed.value] : []\n    })\n\n    if (raw.length > 0 && rows.length === 0) return { type: \"unavailable\" as const }\n\n    const row = rows\n      .map((row) => ({ row, score: scoreZedWorkspace(row.workspace_paths, cwd) }))\n      .filter((entry) => entry.score > 0)\n      .sort((left, right) => right.score - left.score || right.row.timestamp.localeCompare(left.row.timestamp))[0]?.row\n    if (!row) return { type: \"empty\" as const }\n    if (row.item_kind !== \"Editor\") return { type: \"unavailable\" as const }\n    if (!isZedActiveEditorRow(row)) return { type: \"empty\" as const }\n    return { type: \"row\" as const, row }\n  } catch {\n    return { type: \"unavailable\" as const }\n  } finally {\n    db?.close()\n  }\n}\n\nfunction queryZedEditorSelections(dbPath: string, row: ZedActiveEditorRow) {\n  let db: Database | undefined\n  try {\n    db = new Database(dbPath, { readonly: true })\n    const raw = db\n      .query(\n        `select\n          start as selection_start,\n          end as selection_end\n        from editor_selections\n        where editor_id = $editorID and workspace_id = $workspaceID`,\n      )\n      .all({ $editorID: row.editor_id, $workspaceID: row.workspace_id })\n\n    const selections = raw.flatMap((selection) => {\n      const parsed = decodeZedSelectionRow(selection)\n      return Option.isSome(parsed) ? [parsed.value] : []\n    })\n\n    if (raw.length > 0 && selections.length === 0) return { type: \"unavailable\" as const }\n    return { type: \"selections\" as const, selections }\n  } catch {\n    return { type: \"unavailable\" as const }\n  } finally {\n    db?.close()\n  }\n}\n\nfunction queryZedEditorContents(dbPath: string, row: ZedActiveEditorRow) {\n  let db: Database | undefined\n  try {\n    db = new Database(dbPath, { readonly: true })\n    const parsed = decodeZedEditorContents(\n      db\n        .query(\n          `select contents\n        from editors\n        where item_id = $editorID and workspace_id = $workspaceID`,\n        )\n        .get({ $editorID: row.editor_id, $workspaceID: row.workspace_id }),\n    )\n    if (Option.isNone(parsed)) return { type: \"unavailable\" as const }\n    return { type: \"contents\" as const, contents: parsed.value.contents }\n  } catch {\n    return { type: \"unavailable\" as const }\n  } finally {\n    db?.close()\n  }\n}\n\nfunction isZedActiveEditorRow(row: ZedEditorRow): row is ZedActiveEditorRow {\n  return row.item_kind === \"Editor\" && row.editor_id != null\n}\n\nexport function resolveZedDbPath() {\n  const candidates = [\n    process.env.OPENCODE_ZED_DB,\n    path.join(os.homedir(), \"Library\", \"Application Support\", \"Zed\", \"db\", \"0-stable\", \"db.sqlite\"),\n    path.join(os.homedir(), \".local\", \"share\", \"zed\", \"db\", \"0-stable\", \"db.sqlite\"),\n  ].filter((item): item is string => Boolean(item))\n\n  return candidates.find((item) => isFile(item))\n}\n\nfunction isFile(item: string) {\n  try {\n    return statSync(item).isFile()\n  } catch {\n    return false\n  }\n}\n\nfunction scoreZedWorkspace(workspacePaths: string | null, cwd: string) {\n  return zedWorkspacePaths(workspacePaths).reduce((score, item) => {\n    if (pathContains(item, cwd)) return Math.max(score, path.resolve(item).length)\n    return score\n  }, 0)\n}\n\nfunction zedWorkspacePaths(value: string | null) {\n  if (!value) return []\n  const parsed = parseJson(value)\n  if (Array.isArray(parsed)) return parsed.filter((item): item is string => typeof item === \"string\")\n  return value.split(/\\r?\\n/).filter(Boolean)\n}\n\nfunction utf8ByteOffsetToStringIndex(text: string, byteOffset: number) {\n  if (byteOffset <= 0) return 0\n\n  let bytes = 0\n  for (let index = 0; index < text.length; ) {\n    const codePoint = text.codePointAt(index)\n    if (codePoint === undefined) return text.length\n\n    const nextIndex = index + (codePoint > 0xffff ? 2 : 1)\n    bytes += utf8.encode(text.slice(index, nextIndex)).length\n    if (bytes >= byteOffset) return nextIndex\n    index = nextIndex\n  }\n\n  return text.length\n}\n\nfunction offsetsToSelection(text: string, startOffset: number, endOffset: number) {\n  const start = Math.max(0, Math.min(startOffset, text.length))\n  const end = Math.max(0, Math.min(endOffset, text.length))\n  let line = 1\n  let lineStart = 0\n  let startPosition = position(line, lineStart, start)\n  let endPosition = position(line, lineStart, end)\n\n  for (let index = 0; index <= end; index++) {\n    if (index === start) startPosition = position(line, lineStart, index)\n    if (index === end) {\n      endPosition = position(line, lineStart, index)\n      break\n    }\n    if (text[index] === \"\\n\") {\n      line += 1\n      lineStart = index + 1\n    }\n  }\n\n  return { start: startPosition, end: endPosition }\n}\n\nfunction position(line: number, lineStart: number, offset: number) {\n  return {\n    line,\n    character: offset - lineStart + 1,\n  }\n}\n\nfunction pathContains(parent: string, child: string) {\n  const relative = path.relative(path.resolve(parent), path.resolve(child))\n  return relative === \"\" || (!relative.startsWith(\"..\") && !path.isAbsolute(relative))\n}\n\nfunction parseJson(value: string) {\n  try {\n    return JSON.parse(value) as unknown\n  } catch {\n    return\n  }\n}\n"
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-}

bin/chunk-49yvmdzq.js.map

-{
-  "version": 3,
-  "sources": ["../simulation/src/frontend/actions.ts", "../simulation/src/recording.ts", "../simulation/src/frontend/renderer.ts", "../simulation/src/frontend/semantics.ts", "../simulation/src/frontend/server.ts", "../simulation/src/frontend/simulation.ts"],
-  "sourcesContent": [
-    "import { tmpdir } from \"node:os\"\nimport { extname, join, resolve } from \"node:path\"\nimport type { CliRenderer, Renderable } from \"@opentui/core\"\nimport {\n  createMockKeys,\n  createMockMouse,\n  KeyCodes,\n  type KeyInput,\n  type MockInput,\n  type MockMouse,\n} from \"@opentui/core/testing\"\nimport { Config, Effect, FileSystem, Schema } from \"effect\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationSemantics } from \"./semantics\"\n\nexport type Action = SimulationProtocol.Frontend.Action\nexport type Element = SimulationProtocol.Frontend.Element\n\nexport interface Harness {\n  readonly renderer: CliRenderer\n  readonly mockInput: MockInput\n  readonly mockMouse: MockMouse\n  readonly resize: (cols: number, rows: number) => void\n  readonly renderOnce: () => Promise<void>\n  readonly screen: () => string\n}\n\ntype RenderBuffer = {\n  readonly width: number\n  readonly height: number\n  getRealCharBytes(includeAnsi?: boolean): Uint8Array\n}\n\nconst decoder = new TextDecoder()\n\nfunction isKeyCode(key: string): key is keyof typeof KeyCodes {\n  return Object.hasOwn(KeyCodes, key)\n}\n\nfunction keyInput(key: string): KeyInput {\n  const named = key.toUpperCase()\n  return isKeyCode(named) ? named : key\n}\n\nfunction children(renderable: Renderable) {\n  return renderable.getChildren().filter((child): child is Renderable => \"num\" in child)\n}\n\nfunction all(renderable: Renderable): Renderable[] {\n  return [renderable, ...children(renderable).flatMap(all)]\n}\n\nfunction mouseListeners(renderable: Renderable) {\n  const general = Reflect.get(renderable, \"_mouseListener\")\n  const specific = Reflect.get(renderable, \"_mouseListeners\")\n  return Boolean(general) || (specific && typeof specific === \"object\" && Object.keys(specific).length > 0)\n}\n\nfunction hit(renderer: CliRenderer, renderable: Renderable) {\n  if (renderable.width <= 0 || renderable.height <= 0) return false\n  const x = Math.floor(renderable.screenX + renderable.width / 2)\n  const y = Math.floor(renderable.screenY + renderable.height / 2)\n  const target = renderer.hitTest(x, y)\n  return all(renderable).some((item) => item.num === target)\n}\n\n/**\n * Builds the harness the simulation server drives.\n *\n * When the renderer is the headless simulation renderer, its TestRendererSetup\n * provides the supported testing APIs. For the visible terminal renderer the\n * harness falls back to `requestRender` + `idle` and reading the private\n * `currentRenderBuffer`.\n */\nexport function createHarness(renderer: CliRenderer): Harness {\n  const setup = SimulationRenderer.setupFor(renderer)\n  return {\n    renderer,\n    mockInput: setup?.mockInput ?? createMockKeys(renderer),\n    mockMouse: setup?.mockMouse ?? createMockMouse(renderer),\n    resize: setup?.resize ?? ((cols, rows) => renderer.resize(cols, rows)),\n    renderOnce:\n      setup?.renderOnce ??\n      (async () => {\n        renderer.requestRender()\n        await renderer.idle()\n      }),\n    // captureCharFrame follows the test renderer's output sink. Recording\n    // redirects that sink to the timeline, so read the live render buffer\n    // instead; it is also the source used by screenshots.\n    screen: () => decoder.decode((Reflect.get(renderer, \"currentRenderBuffer\") as RenderBuffer).getRealCharBytes()),\n  }\n}\n\nexport function elements(renderer: CliRenderer): Element[] {\n  return all(renderer.root)\n    .filter((renderable) => renderable.visible && !renderable.isDestroyed)\n    .map((renderable) => {\n      const clickable = mouseListeners(renderable) && hit(renderer, renderable)\n      return {\n        id: renderable.id,\n        num: renderable.num,\n        x: renderable.screenX,\n        y: renderable.screenY,\n        width: renderable.width,\n        height: renderable.height,\n        focusable: renderable.focusable,\n        focused: renderable.focused,\n        clickable,\n        editor: renderer.currentFocusedEditor === renderable,\n      } satisfies Element\n    })\n    .filter((element) => element.focusable || element.clickable || element.editor)\n}\n\nexport function state(harness: Harness) {\n  return {\n    focused: {\n      renderable: harness.renderer.currentFocusedRenderable?.num,\n      editor: Boolean(harness.renderer.currentFocusedEditor),\n    },\n    elements: elements(harness.renderer),\n  }\n}\n\nexport function snapshot(harness: Harness): SimulationProtocol.Frontend.SemanticSnapshot {\n  const ids = new Set<string>()\n  const visit = (renderable: Renderable, parent?: string): SimulationProtocol.Frontend.SemanticNode[] => {\n    if (!renderable.visible || renderable.isDestroyed) return []\n    const definition = SimulationSemantics.read(renderable)?.()\n    if (definition && ids.has(renderable.id)) throw new Error(`duplicate semantic UI id: ${renderable.id}`)\n    if (definition) ids.add(renderable.id)\n    const node = definition\n      ? [{ id: renderable.id, ...definition, ...(parent === undefined ? {} : { parent }), element: renderable.num }]\n      : []\n    const ancestor = definition ? renderable.id : parent\n    return [...node, ...children(renderable).flatMap((child) => visit(child, ancestor))]\n  }\n  return Schema.decodeUnknownSync(SimulationProtocol.Frontend.SemanticSnapshot)({\n    format: \"opencode-ui-snapshot-v1\",\n    nodes: visit(harness.renderer.root),\n  })\n}\n\nexport function matches(harness: Pick<Harness, \"screen\">, text: string) {\n  return harness.screen().includes(text)\n}\n\nexport const capture = Effect.fn(\"SimulationActions.capture\")(function* (harness: Harness) {\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const buffer = harness.renderer.currentRenderBuffer\n  return {\n    cols: buffer.width,\n    rows: buffer.height,\n    cursor: [0, 0] as const,\n    lines: buffer.getSpanLines().map((line) => ({\n      spans: line.spans.map((span) => ({\n        text: span.text,\n        fg: span.fg.toInts(),\n        bg: span.bg.toInts(),\n        attributes: span.attributes,\n        width: span.width,\n      })),\n    })),\n  } satisfies SimulationProtocol.Frontend.CapturedFrame\n})\n\nexport const screenshot = Effect.fn(\"SimulationActions.screenshot\")(function* (harness: Harness, name?: string) {\n  const filename = name ?? `screenshot-${crypto.randomUUID()}`\n  if (!filename || filename.includes(\"/\") || filename.includes(\"\\\\\") || extname(filename))\n    return yield* Effect.fail(new Error(\"screenshot name must not contain a path or extension\"))\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const { SimulationPng } = yield* Effect.promise(() => import(\"./png\"))\n  const image = SimulationPng.screenshot(harness.renderer)\n  const directory = resolve(\n    yield* Config.string(\"OPENCODE_DRIVE_MEDIA_DIR\").pipe(\n      Config.withDefault(join(tmpdir(), \"opencode-drive\", \"output\")),\n    ),\n  )\n  const fs = yield* FileSystem.FileSystem\n  yield* fs.makeDirectory(directory, { recursive: true })\n  const path = join(directory, `${filename}.png`)\n  yield* fs.writeFile(path, image.data)\n  return path\n})\n\nexport const execute = Effect.fn(\"SimulationActions.execute\")(function* (harness: Harness, action: Action) {\n  switch (action.type) {\n    case \"ui.type\":\n      yield* Effect.tryPromise(() => harness.mockInput.typeText(action.text))\n      break\n    case \"ui.press\":\n      harness.mockInput.pressKey(keyInput(action.key), action.modifiers)\n      break\n    case \"ui.enter\":\n      harness.mockInput.pressEnter()\n      break\n    case \"ui.arrow\":\n      harness.mockInput.pressArrow(action.direction)\n      break\n    case \"ui.focus\":\n      all(harness.renderer.root)\n        .find((item) => item.num === action.target)\n        ?.focus()\n      break\n    case \"ui.click\": {\n      const target = all(harness.renderer.root).find((item) => item.num === action.target)\n      if (!target || !target.visible || target.isDestroyed)\n        return yield* Effect.fail(new Error(`click target is stale or unavailable: ${action.target}`))\n      if (action.semantic) {\n        const current = snapshot(harness).nodes.find((node) => node.element === action.target)\n        if (\n          current?.id !== action.semantic.id ||\n          current.instance !== action.semantic.instance ||\n          current.element !== action.semantic.element\n        )\n          return yield* Effect.fail(new Error(`semantic click target is stale or unavailable: ${action.semantic.id}`))\n      }\n      if (\n        !Number.isFinite(action.x) ||\n        action.x < 0 ||\n        action.x >= target.width ||\n        !Number.isFinite(action.y) ||\n        action.y < 0 ||\n        action.y >= target.height\n      )\n        return yield* Effect.fail(new Error(\"click position must be within the target element\"))\n      yield* Effect.tryPromise(() => harness.mockMouse.click(target.screenX + action.x, target.screenY + action.y))\n      break\n    }\n    case \"ui.resize\":\n      if (\n        !Number.isSafeInteger(action.cols) ||\n        action.cols <= 0 ||\n        !Number.isSafeInteger(action.rows) ||\n        action.rows <= 0\n      ) {\n        return yield* Effect.fail(new Error(\"resize cols and rows must be positive integers\"))\n      }\n      harness.resize(action.cols, action.rows)\n      SimulationRenderer.recordResize(harness.renderer, action.cols, action.rows)\n      break\n  }\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  return state(harness)\n})\n\nexport * as SimulationActions from \"./actions\"\n",
-    "import { createWriteStream, type WriteStream } from \"node:fs\"\nimport { mkdir } from \"node:fs/promises\"\nimport { dirname } from \"node:path\"\nimport { Writable } from \"node:stream\"\nimport { finished } from \"node:stream/promises\"\nimport { Schema } from \"effect\"\n\nexport const Header = Schema.Struct({\n  type: Schema.Literal(\"header\"),\n  version: Schema.Literal(1),\n  cols: Schema.Number,\n  rows: Schema.Number,\n  encoding: Schema.Literal(\"base64\"),\n})\nexport interface Header extends Schema.Schema.Type<typeof Header> {}\n\nexport const Output = Schema.Struct({\n  type: Schema.Literal(\"output\"),\n  at_ms: Schema.Number,\n  data: Schema.String,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n\nexport const Resize = Schema.Struct({\n  type: Schema.Literal(\"resize\"),\n  at_ms: Schema.Number,\n  cols: Schema.Number,\n  rows: Schema.Number,\n})\nexport interface Resize extends Schema.Schema.Type<typeof Resize> {}\n\nexport const Event = Schema.Union([Header, Output, Resize])\nexport type Event = Schema.Schema.Type<typeof Event>\n\nexport class Timeline extends Writable {\n  readonly isTTY = true\n  readonly path: string\n  readonly columns: number\n  readonly rows: number\n  private readonly output: WriteStream\n  private readonly started = performance.now()\n  private readonly timestamps: number[] = []\n  private done?: Promise<string>\n\n  private constructor(path: string, cols: number, rows: number, output: WriteStream) {\n    super()\n    this.path = path\n    this.columns = cols\n    this.rows = rows\n    this.output = output\n    // finish() reports stream failures; keep Writable from also throwing them process-wide.\n    this.on(\"error\", () => {})\n    output.on(\"error\", (error) => this.destroy(error))\n  }\n\n  static async create(path: string, cols: number, rows: number) {\n    await mkdir(dirname(path), { recursive: true })\n    const output = createWriteStream(path)\n    const timeline = new Timeline(path, cols, rows, output)\n    await new Promise<void>((resolve, reject) => {\n      output.write(\n        `${JSON.stringify({ type: \"header\", version: 1, cols, rows, encoding: \"base64\" } satisfies Header)}\\n`,\n        (error) => (error ? reject(error) : resolve()),\n      )\n    })\n    return timeline\n  }\n\n  getColorDepth() {\n    return 24\n  }\n\n  override write(chunk: unknown, callback?: (error?: Error | null) => void): boolean\n  override write(chunk: unknown, encoding: BufferEncoding, callback?: (error?: Error | null) => void): boolean\n  override write(\n    chunk: unknown,\n    encoding?: BufferEncoding | ((error?: Error | null) => void),\n    callback?: (error?: Error | null) => void,\n  ) {\n    if (!this.writableEnded) {\n      this.timestamps.push(this.elapsed())\n      if (typeof encoding === \"function\") return super.write(chunk, encoding)\n      if (encoding === undefined) return super.write(chunk, callback)\n      return super.write(chunk, encoding, callback)\n    }\n    const done = typeof encoding === \"function\" ? encoding : callback\n    queueMicrotask(() => done?.(null))\n    return true\n  }\n\n  override _write(chunk: Buffer, _encoding: BufferEncoding, callback: (error?: Error | null) => void) {\n    this.writeOutput(chunk, this.timestamps.shift() ?? this.elapsed(), callback)\n  }\n\n  override _final(callback: (error?: Error | null) => void) {\n    this.writeOutput(Buffer.alloc(0), this.elapsed(), (error) => {\n      if (error) return callback(error)\n      this.output.end(callback)\n    })\n  }\n\n  finish() {\n    if (this.done) return this.done\n    this.end()\n    this.done = finished(this).then(() => this.path)\n    return this.done\n  }\n\n  resize(cols: number, rows: number) {\n    if (this.writableEnded) return\n    const event = { type: \"resize\", at_ms: this.elapsed(), cols, rows } satisfies Resize\n    this.output.write(`${JSON.stringify(event)}\\n`)\n  }\n\n  private elapsed() {\n    return Math.max(0, Math.round(performance.now() - this.started))\n  }\n\n  private writeOutput(data: Buffer, at_ms: number, callback: (error?: Error | null) => void) {\n    const event = {\n      type: \"output\",\n      at_ms,\n      data: data.toString(\"base64\"),\n    } satisfies Output\n    this.output.write(`${JSON.stringify(event)}\\n`, callback)\n  }\n}\n\nexport * as SimulationRecording from \"./recording\"\n",
-    "import type { CliRenderer, CliRendererConfig } from \"@opentui/core\"\nimport { createTestRenderer, type TestRendererSetup } from \"@opentui/core/testing\"\nimport { Effect } from \"effect\"\nimport { Timeline } from \"../recording\"\n\nconst setups = new WeakMap<CliRenderer, TestRendererSetup>()\nconst recordings = new WeakMap<CliRenderer, Timeline>()\n\n/**\n * Creates a headless renderer with optional recording: a real CliRenderer\n * backed by an in-memory screen buffer. The TestRendererSetup is kept\n * module-side so the harness can use supported testing APIs without app\n * code carrying it around.\n */\nexport interface Viewport {\n  readonly cols: number\n  readonly rows: number\n}\n\nexport const create = Effect.fn(\"SimulationRenderer.create\")(function* (\n  options: CliRendererConfig,\n  path?: string,\n  viewport?: Viewport,\n) {\n  const cols = viewport?.cols ?? 100\n  const rows = viewport?.rows ?? 40\n  const recording = path\n    ? yield* Effect.acquireRelease(\n        Effect.tryPromise(() => Timeline.create(path, cols, rows)),\n        (recording) =>\n          Effect.tryPromise(() => recording.finish()).pipe(\n            Effect.catch((error) =>\n              Effect.sync(() => process.stderr.write(`Failed to finish UI recording: ${error}\\n`)),\n            ),\n          ),\n      )\n    : undefined\n  const setup = yield* Effect.acquireRelease(\n    Effect.tryPromise(() =>\n      createTestRenderer({\n        ...options,\n        width: cols,\n        height: rows,\n        kittyKeyboard: Boolean(options.useKittyKeyboard),\n        ...(recording\n          ? {\n              stdout: recording as unknown as NodeJS.WriteStream,\n              bufferedOutput: \"stdout\" as const,\n            }\n          : {}),\n      }),\n    ),\n    (setup) =>\n      Effect.sync(() => {\n        if (!setup.renderer.isDestroyed) setup.renderer.destroy()\n      }),\n  )\n  setups.set(setup.renderer, setup)\n  if (recording) recordings.set(setup.renderer, recording)\n  return setup.renderer\n})\n\nexport function recordResize(renderer: CliRenderer, cols: number, rows: number) {\n  recordings.get(renderer)?.resize(cols, rows)\n}\n\nexport function setupFor(renderer: CliRenderer): TestRendererSetup | undefined {\n  return setups.get(renderer)\n}\n\nexport function finish(renderer: CliRenderer) {\n  const recording = recordings.get(renderer)\n  if (!recording) return Effect.fail(new Error(\"UI recording is not available\"))\n  return Effect.tryPromise(() => recording.finish())\n}\n\nexport * as SimulationRenderer from \"./renderer\"\n",
-    "import type { Renderable } from \"@opentui/core\"\nimport type { SimulationProtocol } from \"../protocol\"\n\n// Semantic renderables set an explicit stable OpenTUI id so ui.state and\n// ui.snapshot expose the same identity. Hierarchy and element handles come\n// from the live render tree.\nexport type Definition = Omit<SimulationProtocol.Frontend.SemanticNode, \"id\" | \"element\" | \"parent\">\n\nconst key = Symbol.for(\"opencode.simulation.semantics\")\n\nconst bind = (definition: () => Definition) => (renderable: Renderable) => {\n  Object.defineProperty(renderable, key, { value: definition, configurable: true })\n}\n\nexport const read = (renderable: Renderable) => {\n  const definition: unknown = Reflect.get(renderable, key)\n  return typeof definition === \"function\" ? (definition as () => Definition) : undefined\n}\n\nexport const SimulationSemantics = { bind, read }\n",
-    "import { Effect } from \"effect\"\nimport { SimulationControlServer } from \"../control-server\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationActions, type Harness } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\n\nfunction handle(harness: Harness, request: SimulationProtocol.Frontend.Request, version: string) {\n  switch (request.method) {\n    case \"simulation.handshake\":\n      return SimulationProtocol.Handshake.dispatch(\n        {\n          role: \"ui\",\n          server: { name: \"opencode\", version },\n          capabilities: SimulationProtocol.Frontend.Capabilities,\n        },\n        request.params,\n      )\n    case \"ui.capture\":\n      return SimulationActions.capture(harness)\n    case \"ui.screenshot\":\n      return SimulationActions.screenshot(harness, request.params?.name)\n    case \"ui.state\":\n      return Effect.sync(() => SimulationActions.state(harness))\n    case \"ui.snapshot\":\n      return Effect.sync(() => SimulationActions.snapshot(harness))\n    case \"ui.matches\":\n      return Effect.sync(() => SimulationActions.matches(harness, request.params.text))\n    case \"ui.recording.finish\":\n      return SimulationRenderer.finish(harness.renderer)\n    case \"ui.type\":\n      return SimulationActions.execute(harness, { type: \"ui.type\", text: request.params.text })\n    case \"ui.enter\":\n      return SimulationActions.execute(harness, { type: \"ui.enter\" })\n    case \"ui.press\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.press\",\n        key: request.params.key,\n        modifiers: request.params.modifiers,\n      })\n    case \"ui.arrow\":\n      return SimulationActions.execute(harness, { type: \"ui.arrow\", direction: request.params.direction })\n    case \"ui.focus\":\n      return SimulationActions.execute(harness, { type: \"ui.focus\", target: request.params.target })\n    case \"ui.click\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.click\",\n        target: request.params.target,\n        x: request.params.x,\n        y: request.params.y,\n        semantic: request.params.semantic,\n      })\n    case \"ui.resize\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.resize\",\n        cols: request.params.cols,\n        rows: request.params.rows,\n      })\n  }\n}\n\nexport const start = Effect.fn(\"SimulationServer.start\")(function* (\n  harness: Harness,\n  endpoint: string,\n  version = \"unknown\",\n) {\n  return yield* SimulationControlServer.start({\n    endpoint,\n    label: \"opencode drive ui websocket\",\n    data: () => ({ drive: true as const }),\n    decode: SimulationProtocol.Frontend.decodeRequestEffect,\n    handle: (_socket, request) => handle(harness, request, version),\n  })\n})\n\nexport * as SimulationServer from \"./server\"\n",
-    "import { createCliRenderer, type CliRendererConfig } from \"@opentui/core\"\nimport { Config, Effect } from \"effect\"\nimport { DriveManifest } from \"../manifest\"\nimport { SimulationActions } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationServer } from \"./server\"\n\n/** Drive-mode renderer and control-server acquisition. */\nexport const create = Effect.fn(\"Drive.create\")(function* (options: CliRendererConfig, version: string) {\n  const headless = (yield* Config.string(\"OPENCODE_DRIVE_RENDERER\").pipe(Config.withDefault(\"visible\"))) === \"headless\"\n  const manifest = yield* DriveManifest.resolve()\n  const renderer = headless\n    ? yield* SimulationRenderer.create(options, manifest.recording?.timeline, manifest.viewport)\n    : yield* Effect.acquireRelease(\n        Effect.tryPromise(() => createCliRenderer(options)),\n        (renderer) =>\n          Effect.sync(() => {\n            if (!renderer.isDestroyed) renderer.destroy()\n          }),\n      )\n  if (!headless && manifest.viewport) renderer.resize(manifest.viewport.cols, manifest.viewport.rows)\n  const server = yield* SimulationServer.start(SimulationActions.createHarness(renderer), manifest.endpoints.ui, version)\n  yield* Effect.sync(() => process.stderr.write(`opencode drive ui websocket: ${server.url}\\n`))\n  return renderer\n})\n\nexport * as Drive from \"./simulation\"\n"
-  ],
-  "mappings": 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-}

bin/chunk-4bgf23ve.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/gemini.ts", "../ai/src/protocols/google-images.ts", "../ai/src/providers/google.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderOptions,\n  type ProviderMetadata,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n} from \"../schema\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\n\nconst ADAPTER = \"gemini\"\nconst MEDIA_MIMES = new Set<string>(ProviderShared.MEDIA_MIMES)\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\nexport interface OptionsInput {\n  readonly [key: string]: unknown\n  readonly cachedContent?: string\n  readonly safetySettings?: ReadonlyArray<{\n    readonly category:\n      | \"HARM_CATEGORY_UNSPECIFIED\"\n      | \"HARM_CATEGORY_HATE_SPEECH\"\n      | \"HARM_CATEGORY_DANGEROUS_CONTENT\"\n      | \"HARM_CATEGORY_HARASSMENT\"\n      | \"HARM_CATEGORY_SEXUALLY_EXPLICIT\"\n      | \"HARM_CATEGORY_CIVIC_INTEGRITY\"\n      | (string & {})\n    readonly threshold:\n      | \"HARM_BLOCK_THRESHOLD_UNSPECIFIED\"\n      | \"BLOCK_LOW_AND_ABOVE\"\n      | \"BLOCK_MEDIUM_AND_ABOVE\"\n      | \"BLOCK_ONLY_HIGH\"\n      | \"BLOCK_NONE\"\n      | \"OFF\"\n      | (string & {})\n  }>\n  readonly serviceTier?: \"standard\" | \"flex\" | \"priority\" | (string & {})\n  readonly thinkingConfig?: {\n    readonly thinkingBudget?: number\n    readonly includeThoughts?: boolean\n    readonly thinkingLevel?: \"minimal\" | \"low\" | \"medium\" | \"high\" | (string & {})\n  }\n}\n\nexport type ProviderOptionsInput = ProviderOptions & {\n  readonly gemini?: OptionsInput\n}\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst GeminiTextPart = Schema.Struct({\n  text: Schema.String,\n  thought: Schema.optional(Schema.Boolean),\n  thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiInlineDataPart = Schema.Struct({\n  inlineData: Schema.Struct({\n    mimeType: Schema.String,\n    data: Schema.String,\n  }),\n})\ntype GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>\n\nconst GeminiFunctionCallPart = Schema.Struct({\n  functionCall: Schema.Struct({\n    id: Schema.optional(Schema.String),\n    name: Schema.String,\n    args: Schema.Unknown,\n  }),\n  thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n  functionResponse: Schema.Struct({\n    id: Schema.optional(Schema.String),\n    name: Schema.String,\n    response: Schema.Unknown,\n    parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),\n  }),\n})\n\nconst GeminiContentPart = Schema.Union([\n  GeminiTextPart,\n  GeminiInlineDataPart,\n  GeminiFunctionCallPart,\n  GeminiFunctionResponsePart,\n])\n\nconst GeminiContent = Schema.Struct({\n  role: Schema.Literals([\"user\", \"model\"]),\n  parts: Schema.Array(GeminiContentPart),\n})\ntype GeminiContent = Schema.Schema.Type<typeof GeminiContent>\n\nconst GeminiSystemInstruction = Schema.Struct({\n  parts: Schema.Array(Schema.Struct({ text: Schema.String })),\n})\n\nconst GeminiFunctionDeclaration = Schema.Struct({\n  name: Schema.String,\n  description: Schema.String,\n  parameters: Schema.optional(JsonObject),\n})\n\nconst GeminiTool = Schema.Struct({\n  functionDeclarations: Schema.Array(GeminiFunctionDeclaration),\n})\n\nconst GeminiToolConfig = Schema.Struct({\n  functionCallingConfig: Schema.Struct({\n    mode: Schema.Literals([\"AUTO\", \"NONE\", \"ANY\"]),\n    allowedFunctionNames: optionalArray(Schema.String),\n  }),\n})\n\nconst GeminiThinkingConfig = Schema.Struct({\n  thinkingBudget: Schema.optional(Schema.Number),\n  includeThoughts: Schema.optional(Schema.Boolean),\n  thinkingLevel: Schema.optional(Schema.String),\n})\n\nconst GeminiSafetySetting = Schema.Struct({\n  category: Schema.String,\n  threshold: Schema.String,\n})\n\nconst GeminiGenerationConfig = Schema.Struct({\n  maxOutputTokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  topP: Schema.optional(Schema.Number),\n  topK: Schema.optional(Schema.Number),\n  stopSequences: optionalArray(Schema.String),\n  thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n  cachedContent: Schema.optional(Schema.String),\n  contents: Schema.Array(GeminiContent),\n  safetySettings: optionalArray(GeminiSafetySetting),\n  serviceTier: Schema.optional(Schema.String),\n  systemInstruction: Schema.optional(GeminiSystemInstruction),\n  tools: optionalArray(GeminiTool),\n  toolConfig: Schema.optional(GeminiToolConfig),\n  generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n  cachedContentTokenCount: Schema.optional(Schema.Number),\n  thoughtsTokenCount: Schema.optional(Schema.Number),\n  promptTokenCount: Schema.optional(Schema.Number),\n  candidatesTokenCount: Schema.optional(Schema.Number),\n  totalTokenCount: Schema.optional(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n  content: Schema.optional(GeminiContent),\n  finishReason: Schema.optional(Schema.String),\n})\n\nconst GeminiEvent = Schema.Struct({\n  candidates: optionalArray(GeminiCandidate),\n  usageMetadata: Schema.optional(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n  readonly finishReason?: string\n  readonly hasToolCalls: boolean\n  readonly nextToolCallId: number\n  readonly usage?: Usage\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningSignature?: string\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n//    enums (must be strings), `required` entries that don't match a property,\n//    untyped arrays (`items` must be present), and `properties`/`required`\n//    keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n//    drop empty objects, derive `nullable: true` from `type: [..., \"null\"]`,\n//    coerce `const` to `[const]` enum, recurse properties/items, propagate\n//    only an allowlisted set of keys (description, required, format, type,\n//    properties, items, allOf, anyOf, oneOf, minLength). Anything outside the\n//    allowlist (e.g. `additionalProperties`, `$ref`) is silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n  name: tool.name,\n  description: tool.description,\n  parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n    auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n    none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n    required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n    tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n  })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n  if (part.type === \"text\") return { text: part.text }\n  const media = yield* ProviderShared.validateMedia(\"Gemini\", part, MEDIA_MIMES)\n  return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n  const google = providerMetadata?.google\n  return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n    ? google.thoughtSignature\n    : undefined\n}\n\nconst functionCallId = (providerMetadata: ProviderMetadata | undefined) => {\n  const google = providerMetadata?.google\n  return ProviderShared.isRecord(google) && typeof google.functionCallId === \"string\"\n    ? google.functionCallId\n    : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart) => ({\n  functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input },\n  thoughtSignature: thoughtSignature(part.providerMetadata),\n})\n\nconst lowerMessages = Effect.fn(\"Gemini.lowerMessages\")(function* (request: LLMRequest) {\n  const contents: GeminiContent[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Gemini\", message)\n      const previous = contents.at(-1)\n      if (previous?.role === \"user\")\n        contents[contents.length - 1] = { role: \"user\", parts: [...previous.parts, { text: part.text }] }\n      else contents.push({ role: \"user\", parts: [{ text: part.text }] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"user\", [\"text\", \"media\"])\n        parts.push(yield* lowerUserPart(part))\n      }\n      contents.push({ role: \"user\", parts })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n        if (part.type === \"text\") {\n          parts.push({ text: part.text })\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          parts.push(lowerToolCall(part))\n          continue\n        }\n      }\n      contents.push({ role: \"model\", parts })\n      continue\n    }\n\n    const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n      if (part.result.type !== \"content\") {\n        parts.push({\n          functionResponse: {\n            id: functionCallId(part.providerMetadata),\n            name: part.name,\n            response: {\n              name: part.name,\n              content: ProviderShared.toolResultText(part),\n            },\n          },\n        })\n        continue\n      }\n      const content: ReadonlyArray<Tool.Content> = part.result.value\n      const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n      const media: GeminiInlineDataPart[] = []\n      for (const item of content) {\n        if (item.type === \"text\") continue\n        const value = yield* ProviderShared.validateToolFile(\"Gemini\", item, MEDIA_MIMES)\n        media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })\n      }\n      parts.push({\n        functionResponse: {\n          id: functionCallId(part.providerMetadata),\n          name: part.name,\n          response: {\n            name: part.name,\n            content: text.join(\"\\n\"),\n          },\n          parts: media.length > 0 ? media : undefined,\n        },\n      })\n    }\n    contents.push({ role: \"user\", parts })\n  }\n\n  return contents\n})\n\nconst resolveOptions = (request: LLMRequest) => {\n  const input = request.providerOptions?.gemini\n  const value = input?.thinkingConfig\n  const thinkingConfig = {\n    thinkingBudget:\n      ProviderShared.isRecord(value) && typeof value.thinkingBudget === \"number\" ? value.thinkingBudget : undefined,\n    includeThoughts:\n      ProviderShared.isRecord(value) && typeof value.includeThoughts === \"boolean\"\n        ? value.includeThoughts\n        : ProviderShared.isRecord(value)\n          ? true\n          : undefined,\n    thinkingLevel:\n      ProviderShared.isRecord(value) && typeof value.thinkingLevel === \"string\" ? value.thinkingLevel : undefined,\n  }\n  return {\n    cachedContent: typeof input?.cachedContent === \"string\" ? input.cachedContent : undefined,\n    safetySettings: mapSafetySettings(input?.safetySettings),\n    serviceTier: typeof input?.serviceTier === \"string\" ? input.serviceTier : undefined,\n    thinkingConfig: Object.values(thinkingConfig).some((item) => item !== undefined) ? thinkingConfig : undefined,\n  }\n}\n\nfunction mapSafetySettings(value: unknown) {\n  if (!Array.isArray(value)) return undefined\n  const settings = value.flatMap((item) =>\n    ProviderShared.isRecord(item) && typeof item.category === \"string\" && typeof item.threshold === \"string\"\n      ? [{ category: item.category, threshold: item.threshold }]\n      : [],\n  )\n  return settings\n}\n\nconst fromRequest = Effect.fn(\"Gemini.fromRequest\")(function* (request: LLMRequest) {\n  const hasTools = request.tools.length > 0\n  const generation = request.generation\n  const options = resolveOptions(request)\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const generationConfig = {\n    maxOutputTokens: generation?.maxTokens,\n    temperature: generation?.temperature,\n    topP: generation?.topP,\n    topK: generation?.topK,\n    stopSequences: generation?.stop,\n    thinkingConfig: options.thinkingConfig,\n  }\n\n  return {\n    cachedContent: options.cachedContent,\n    contents: yield* lowerMessages(request),\n    safetySettings: options.safetySettings,\n    serviceTier: options.serviceTier,\n    systemInstruction:\n      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },\n    tools: hasTools\n      ? [\n          {\n            functionDeclarations: request.tools.map((tool) =>\n              lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n            ),\n          },\n        ]\n      : undefined,\n    toolConfig: hasTools && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,\n    generationConfig: Object.values(generationConfig).some((value) => value !== undefined)\n      ? generationConfig\n      : undefined,\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Gemini reports `promptTokenCount` (inclusive total) with a\n// `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*\n// of `thoughtsTokenCount` — visible-only, not a total — so we sum the two\n// to produce the inclusive `outputTokens` the rest of the contract expects.\nconst mapUsage = (usage: GeminiUsage | undefined) => {\n  if (!usage) return undefined\n  const cached = usage.cachedContentTokenCount\n  const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached)\n  // `candidatesTokenCount` is visible-only; sum with thoughts to produce the\n  // inclusive `outputTokens` the contract expects. Only compute the total\n  // when the visible component is reported — otherwise we'd fabricate an\n  // inclusive number from a partial breakdown.\n  const outputTokens =\n    usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined\n  return new Usage({\n    inputTokens: usage.promptTokenCount,\n    outputTokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    reasoningTokens: usage.thoughtsTokenCount,\n    totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n    providerMetadata: { google: usage },\n  })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n  if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n  if (finishReason === \"MAX_TOKENS\") return \"length\"\n  if (\n    finishReason === \"IMAGE_SAFETY\" ||\n    finishReason === \"RECITATION\" ||\n    finishReason === \"SAFETY\" ||\n    finishReason === \"BLOCKLIST\" ||\n    finishReason === \"PROHIBITED_CONTENT\" ||\n    finishReason === \"SPII\" ||\n    finishReason === \"MODEL_ARMOR\" ||\n    finishReason === \"IMAGE_PROHIBITED_CONTENT\" ||\n    finishReason === \"IMAGE_RECITATION\" ||\n    finishReason === \"LANGUAGE\"\n  )\n    return \"content-filter\"\n  if (\n    finishReason === \"MALFORMED_FUNCTION_CALL\" ||\n    finishReason === \"UNEXPECTED_TOOL_CALL\" ||\n    finishReason === \"NO_IMAGE\" ||\n    finishReason === \"TOO_MANY_TOOL_CALLS\" ||\n    finishReason === \"MISSING_THOUGHT_SIGNATURE\" ||\n    finishReason === \"MALFORMED_RESPONSE\"\n  )\n    return \"error\"\n  return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> =>\n  state.finishReason || state.usage\n    ? (() => {\n        const events: LLMEvent[] = []\n        const lifecycle = state.reasoningSignature\n          ? Lifecycle.reasoningEnd(\n              state.lifecycle,\n              events,\n              \"reasoning-0\",\n              googleMetadata({ thoughtSignature: state.reasoningSignature }),\n            )\n          : state.lifecycle\n        Lifecycle.finish(lifecycle, events, {\n          reason: {\n            normalized: mapFinishReason(state.finishReason, state.hasToolCalls),\n            raw: state.finishReason,\n          },\n          usage: state.usage,\n        })\n        return events\n      })()\n    : []\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n  const nextState = {\n    ...state,\n    usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n  }\n  const candidate = event.candidates?.[0]\n  if (!candidate?.content)\n    return Effect.succeed([\n      { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n      [],\n    ] as const)\n\n  const events: LLMEvent[] = []\n  let hasToolCalls = nextState.hasToolCalls\n  let lifecycle = nextState.lifecycle\n  let nextToolCallId = nextState.nextToolCallId\n  let reasoningSignature = nextState.reasoningSignature\n\n  for (const part of candidate.content.parts) {\n    if (\"thoughtSignature\" in part && part.thoughtSignature && \"thought\" in part && part.thought)\n      reasoningSignature = part.thoughtSignature\n    if (\"text\" in part && part.text.length > 0) {\n      if (part.thought) {\n        lifecycle = Lifecycle.reasoningDelta(\n          lifecycle,\n          events,\n          \"reasoning-0\",\n          part.text,\n          part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n        )\n        continue\n      }\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", part.text)\n      continue\n    }\n\n    if (\"functionCall\" in part) {\n      const input = part.functionCall.args\n      const id = `tool_${nextToolCallId++}`\n      const metadata = {\n        ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }),\n        ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }),\n      }\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n      )\n      lifecycle = Lifecycle.stepStart(lifecycle, events)\n      events.push(\n        LLMEvent.toolCall({\n          id,\n          name: part.functionCall.name,\n          input,\n          providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined,\n        }),\n      )\n      hasToolCalls = true\n    }\n  }\n\n  return Effect.succeed([\n    {\n      ...nextState,\n      hasToolCalls,\n      lifecycle,\n      nextToolCallId,\n      reasoningSignature,\n      finishReason: candidate.finishReason ?? nextState.finishReason,\n    },\n    events,\n  ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine. Used by Google AI Studio Gemini and (once\n * registered) Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: GeminiBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(GeminiEvent),\n    initial: () => ({ hasToolCalls: false, nextToolCallId: 0, lifecycle: Lifecycle.initial() }),\n    step,\n    onHalt: finish,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"google\",\n  providerMetadataKey: \"google\",\n  protocol,\n  // Gemini's path embeds the model id and pins SSE framing at the URL level.\n  endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n    baseURL: DEFAULT_BASE_URL,\n  }),\n  auth: Auth.none,\n  framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini\"\n",
-    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport {\n  GeneratedImage,\n  ImageModel,\n  ImageResponse,\n  type ImageInput,\n  type ImageRequestFor,\n  type ImageRoute,\n} from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport {\n  InvalidProviderOutputReason,\n  LLMError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n  type ProviderMetadata,\n} from \"../schema\"\nimport { ProviderShared } from \"./shared\"\nimport { ImageInputs } from \"./utils/image-input\"\n\nconst ADAPTER = \"google-images\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\nexport type GoogleImageString<Known extends string> = Known | (string & {})\n\nexport type GoogleImageOptions = {\n  readonly aspectRatio?: GoogleImageString<\n    \"1:1\" | \"2:3\" | \"3:2\" | \"3:4\" | \"4:3\" | \"4:5\" | \"5:4\" | \"9:16\" | \"16:9\" | \"21:9\"\n  >\n  readonly imageSize?: GoogleImageString<\"1K\" | \"2K\" | \"4K\">\n  readonly seed?: number\n  readonly thinkingLevel?: GoogleImageString<\"MINIMAL\" | \"LOW\" | \"MEDIUM\" | \"HIGH\">\n  readonly includeThoughts?: boolean\n} & Record<string, unknown>\n\nexport type GoogleImageBody = Record<string, unknown> & {\n  readonly contents: ReadonlyArray<{\n    readonly role: \"user\"\n    readonly parts: ReadonlyArray<Record<string, unknown>>\n  }>\n  readonly generationConfig: Record<string, unknown>\n}\n\nconst GoogleUsage = Schema.StructWithRest(\n  Schema.Struct({\n    cachedContentTokenCount: Schema.optional(Schema.Number),\n    thoughtsTokenCount: Schema.optional(Schema.Number),\n    promptTokenCount: Schema.optional(Schema.Number),\n    candidatesTokenCount: Schema.optional(Schema.Number),\n    totalTokenCount: Schema.optional(Schema.Number),\n    promptTokensDetails: Schema.optional(Schema.Unknown),\n    candidatesTokensDetails: Schema.optional(Schema.Unknown),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst GoogleImageResponse = Schema.Struct({\n  candidates: Schema.optional(\n    Schema.Array(\n      Schema.Struct({\n        index: Schema.optional(Schema.Number),\n        content: Schema.optional(\n          Schema.Struct({\n            parts: Schema.Array(\n              Schema.Struct({\n                text: Schema.optional(Schema.String),\n                thought: Schema.optional(Schema.Boolean),\n                thoughtSignature: Schema.optional(Schema.String),\n                inlineData: Schema.optional(\n                  Schema.Struct({\n                    mimeType: Schema.String,\n                    data: Schema.String,\n                  }),\n                ),\n              }),\n            ),\n          }),\n        ),\n        finishReason: Schema.optional(Schema.String),\n        finishMessage: Schema.optional(Schema.String),\n        safetyRatings: Schema.optional(Schema.Unknown),\n        citationMetadata: Schema.optional(Schema.Unknown),\n        groundingMetadata: Schema.optional(Schema.Unknown),\n      }),\n    ),\n  ),\n  usageMetadata: Schema.optional(GoogleUsage),\n  modelVersion: Schema.optional(Schema.String),\n  responseId: Schema.optional(Schema.String),\n  promptFeedback: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n  readonly id: string\n  readonly auth: AuthDefinition\n  readonly baseURL?: string\n  readonly headers?: Record<string, string>\n  readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: GoogleImageOptions | undefined) => {\n  const { aspectRatio, imageSize, seed, thinkingLevel, includeThoughts, ...native } = options ?? {}\n  const image = {\n    aspectRatio,\n    imageSize,\n  }\n  const thinkingConfig = {\n    thinkingLevel,\n    includeThoughts,\n  }\n  return (\n    mergeJsonRecords(\n      {\n        responseModalities: [\"IMAGE\"],\n        imageConfig: Object.values(image).some((value) => value !== undefined) ? image : undefined,\n        seed,\n        thinkingConfig: Object.values(thinkingConfig).some((value) => value !== undefined) ? thinkingConfig : undefined,\n      },\n      native,\n    ) ?? { responseModalities: [\"IMAGE\"] }\n  )\n}\n\nconst invalidOutput = (message: string, providerMetadata?: ProviderMetadata) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER, providerMetadata }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute<GoogleImageOptions> = {\n    id: ADAPTER,\n    generate: Effect.fn(\"GoogleImages.generate\")(function* (request: ImageRequestFor<GoogleImageOptions>, execute) {\n      const imageParts = yield* Effect.forEach(request.images ?? [], googleImagePart)\n      const http = mergeHttpOptions(request.model.http, request.http)\n      const requestBody = mergeJsonRecords(\n        {\n          contents: [{ role: \"user\", parts: [{ text: request.prompt }, ...imageParts] }],\n          generationConfig: nativeOptions(request.options),\n        },\n        http?.body,\n      ) as GoogleImageBody\n      const text = ProviderShared.encodeJson(requestBody)\n      const url = applyQuery(\n        `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}/models/${request.model.id}:generateContent`,\n        http?.query,\n      )\n      const headers = yield* Auth.toEffect(input.auth)({\n        request,\n        method: \"POST\",\n        url,\n        body: text,\n        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n      })\n      const response = yield* execute(\n        HttpClientRequest.post(url).pipe(\n          HttpClientRequest.setHeaders(headers),\n          HttpClientRequest.bodyText(text, \"application/json\"),\n        ),\n      )\n      const payload = yield* response.json.pipe(\n        Effect.mapError(() => invalidOutput(\"Failed to read the Google Images response\")),\n      )\n      const decoded = yield* Schema.decodeUnknownEffect(GoogleImageResponse)(payload).pipe(\n        Effect.mapError(() => invalidOutput(\"Google Images returned an invalid response\")),\n      )\n      const candidates = decoded.candidates ?? []\n      const candidateMetadata = candidates.map((candidate, candidateIndex) => ({\n        index: candidate.index ?? candidateIndex,\n        finishReason: candidate.finishReason,\n        finishMessage: candidate.finishMessage,\n        safetyRatings: candidate.safetyRatings,\n        citationMetadata: candidate.citationMetadata,\n        groundingMetadata: candidate.groundingMetadata,\n        parts: (candidate.content?.parts ?? []).map((part) =>\n          part.inlineData === undefined\n            ? {\n                type: \"text\",\n                text: part.text,\n                thought: part.thought,\n                thoughtSignature: part.thoughtSignature,\n              }\n            : {\n                type: \"inlineData\",\n                mediaType: part.inlineData.mimeType,\n                thought: part.thought,\n                thoughtSignature: part.thoughtSignature,\n              },\n        ),\n      }))\n      const encoded = candidates.flatMap((candidate, candidateIndex) =>\n        (candidate.content?.parts ?? []).flatMap((part, partIndex) =>\n          part.inlineData === undefined || part.thought === true\n            ? []\n            : [{ candidate, candidateIndex, partIndex, inlineData: part.inlineData }],\n        ),\n      )\n      const images = yield* Effect.forEach(encoded, (item) =>\n        Effect.fromResult(Encoding.decodeBase64(item.inlineData.data)).pipe(\n          Effect.mapError(() =>\n            invalidOutput(\n              `Google Images candidate ${item.candidateIndex} part ${item.partIndex} contains invalid base64 data`,\n            ),\n          ),\n          Effect.map(\n            (data) =>\n              new GeneratedImage({\n                mediaType: item.inlineData.mimeType,\n                data,\n                providerMetadata: {\n                  google: {\n                    candidateIndex: item.candidate.index ?? item.candidateIndex,\n                    partIndex: item.partIndex,\n                    finishReason: item.candidate.finishReason,\n                    safetyRatings: item.candidate.safetyRatings,\n                    citationMetadata: item.candidate.citationMetadata,\n                    groundingMetadata: item.candidate.groundingMetadata,\n                    thoughtSignature: item.candidate.content?.parts[item.partIndex]?.thoughtSignature,\n                  },\n                },\n              }),\n          ),\n        ),\n      )\n      if (images.length === 0) {\n        const finishReasons = candidates.flatMap((candidate) =>\n          candidate.finishReason === undefined ? [] : [candidate.finishReason],\n        )\n        return yield* invalidOutput(\n          `Google Images returned no final images${\n            finishReasons.length === 0 ? \"\" : ` (finish reasons: ${finishReasons.join(\", \")})`\n          }; inspect reason.providerMetadata.google for prompt feedback and candidate details`,\n          {\n            google: {\n              promptFeedback: decoded.promptFeedback,\n              candidates: candidateMetadata,\n            },\n          },\n        )\n      }\n      const usage = decoded.usageMetadata\n      const outputTokens =\n        usage?.candidatesTokenCount === undefined\n          ? undefined\n          : usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0)\n      return new ImageResponse({\n        images,\n        usage:\n          usage === undefined\n            ? undefined\n            : new Usage({\n                inputTokens: usage.promptTokenCount,\n                outputTokens,\n                nonCachedInputTokens: ProviderShared.subtractTokens(\n                  usage.promptTokenCount,\n                  usage.cachedContentTokenCount,\n                ),\n                cacheReadInputTokens: usage.cachedContentTokenCount,\n                reasoningTokens: usage.thoughtsTokenCount,\n                totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n                providerMetadata: { google: usage },\n              }),\n        providerMetadata: {\n          google: {\n            modelVersion: decoded.modelVersion,\n            responseId: decoded.responseId,\n            promptFeedback: decoded.promptFeedback,\n            candidates: candidateMetadata,\n          },\n        },\n      })\n    }),\n  }\n  return ImageModel.make<GoogleImageOptions>({ id: input.id, provider: \"google\", route, http: input.http })\n}\n\nconst googleImagePart = (image: ImageInput): Effect.Effect<Record<string, unknown>, LLMError> => {\n  if (image.type === \"bytes\")\n    return Effect.succeed({ inlineData: { mimeType: image.mediaType, data: Encoding.encodeBase64(image.data) } })\n  if (image.type === \"file-uri\") return Effect.succeed({ fileData: { mimeType: image.mediaType, fileUri: image.uri } })\n  if (image.type === \"url\")\n    return ImageInputs.decodeDataUrl(image.url, ADAPTER).pipe(\n      Effect.flatMap((decoded) => {\n        if (decoded === undefined)\n          return Effect.fail(\n            ImageInputs.invalid(\n              ADAPTER,\n              \"Google generateContent does not fetch public image URLs; use bytes, a data URL, or a Gemini file URI\",\n            ),\n          )\n        return Effect.succeed({\n          inlineData: { mimeType: decoded.mediaType, data: Encoding.encodeBase64(decoded.data) },\n        })\n      }),\n    )\n  return Effect.fail(\n    ImageInputs.invalid(ADAPTER, \"Google generateContent requires Gemini file URIs rather than provider file IDs\"),\n  )\n}\n\nexport const GoogleImages = {\n  model,\n} as const\n",
-    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from \"../schema\"\nimport { Gemini } from \"../protocols/gemini\"\nimport { GoogleImages } from \"../protocols/google-images\"\n\nexport type { GoogleImageOptions } from \"../protocols/google-images\"\nexport type GeminiOptionsInput = Gemini.OptionsInput\nexport type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput\n\nexport const id = ProviderID.make(\"google\")\n\nexport const routes = [Gemini.route]\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: Gemini.ProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: Gemini.ProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n    .orElse(Auth.config(\"GOOGLE_GENERATIVE_AI_API_KEY\"))\n    .pipe(Auth.header(\"x-goog-api-key\"))\n}\n\nconst configuredRoute = (input: Config) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return Gemini.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  const image = (modelID: string | ModelID) =>\n    GoogleImages.model({\n      id: modelID,\n      auth: auth(input),\n      baseURL: input.baseURL,\n      headers: input.headers,\n      http: mergeHttpOptions(input.http === undefined ? undefined : HttpOptions.make(input.http)),\n    })\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n\nexport const image = provider.image\n"
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-  "debugId": "ED7A4D483AE414B564756E2164756E21",
-  "names": []
-}

bin/chunk-4vkvzdn5.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/logout.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.logout,\n  Effect.fn(\"cli.mcp.logout\")(function* (input) {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n    const integration = yield* resolveIntegration(client, input.name, location)\n    if (!integration) {\n      process.stdout.write(`No stored credentials for ${input.name}` + EOL)\n      return\n    }\n\n    const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n    if (credentials.length === 0) {\n      process.stdout.write(`No stored credentials for ${input.name}` + EOL)\n      return\n    }\n\n    yield* Effect.forEach(\n      credentials,\n      (connection) => Effect.promise(() => client.credential.remove({ credentialID: connection.id, location })),\n      { discard: true },\n    )\n    process.stdout.write(`Removed OAuth credentials for ${input.name}` + EOL)\n  }),\n)\n"
-  ],
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bin/chunk-51mpera2.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/theme/system.ts"],
-  "sourcesContent": [
-    "import { RGBA, type TerminalColors } from \"@opentui/core\"\nimport { ansiToRgba, tint } from \"./color\"\n\nexport function terminalMode(colors: TerminalColors): \"dark\" | \"light\" | undefined {\n  const bg = colors.defaultBackground\n  if (!bg) return\n  const { r, g, b } = RGBA.fromHex(bg)\n  return 0.299 * r + 0.587 * g + 0.114 * b > 0.5 ? \"light\" : \"dark\"\n}\n\nexport function generateSystem(colors: TerminalColors, mode: \"dark\" | \"light\") {\n  const bg = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n  const fg = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n  const transparent = RGBA.fromValues(bg.r, bg.g, bg.b, 0)\n  const isDark = mode === \"dark\"\n\n  const col = (index: number) => {\n    const value = colors.palette[index]\n    if (value) return RGBA.fromHex(value)\n    return ansiToRgba(index)\n  }\n\n  const grays = generateGrayScale(bg, isDark)\n  const textMuted = generateMutedTextColor(bg, isDark)\n  const ansiColors = {\n    red: col(1),\n    green: col(2),\n    yellow: col(3),\n    blue: col(4),\n    magenta: col(5),\n    cyan: col(6),\n    redBright: col(9),\n    greenBright: col(10),\n  }\n\n  const diffAlpha = isDark ? 0.22 : 0.14\n  const diffAddedBg = tint(bg, ansiColors.green, diffAlpha)\n  const diffRemovedBg = tint(bg, ansiColors.red, diffAlpha)\n  const diffContextBg = grays[2]\n  const diffAddedLineNumberBg = tint(diffContextBg, ansiColors.green, diffAlpha)\n  const diffRemovedLineNumberBg = tint(diffContextBg, ansiColors.red, diffAlpha)\n\n  return {\n    theme: {\n      primary: ansiColors.cyan,\n      secondary: ansiColors.magenta,\n      accent: ansiColors.cyan,\n      error: ansiColors.red,\n      warning: ansiColors.yellow,\n      success: ansiColors.green,\n      info: ansiColors.cyan,\n      text: fg,\n      textMuted,\n      selectedListItemText: bg,\n      background: transparent,\n      backgroundPanel: grays[2],\n      backgroundElement: grays[3],\n      backgroundMenu: grays[3],\n      borderSubtle: grays[6],\n      border: grays[7],\n      borderActive: grays[8],\n      diffAdded: ansiColors.green,\n      diffRemoved: ansiColors.red,\n      diffContext: grays[7],\n      diffHunkHeader: grays[7],\n      diffHighlightAdded: ansiColors.greenBright,\n      diffHighlightRemoved: ansiColors.redBright,\n      diffAddedBg,\n      diffRemovedBg,\n      diffContextBg,\n      diffLineNumber: textMuted,\n      diffAddedLineNumberBg,\n      diffRemovedLineNumberBg,\n      markdownText: fg,\n      markdownHeading: fg,\n      markdownLink: ansiColors.blue,\n      markdownLinkText: ansiColors.cyan,\n      markdownCode: ansiColors.green,\n      markdownBlockQuote: ansiColors.yellow,\n      markdownEmph: ansiColors.yellow,\n      markdownStrong: fg,\n      markdownHorizontalRule: grays[7],\n      markdownListItem: ansiColors.blue,\n      markdownListEnumeration: ansiColors.cyan,\n      markdownImage: ansiColors.blue,\n      markdownImageText: ansiColors.cyan,\n      markdownCodeBlock: fg,\n      syntaxComment: textMuted,\n      syntaxKeyword: ansiColors.magenta,\n      syntaxFunction: ansiColors.blue,\n      syntaxVariable: fg,\n      syntaxString: ansiColors.green,\n      syntaxNumber: ansiColors.yellow,\n      syntaxType: ansiColors.cyan,\n      syntaxOperator: ansiColors.cyan,\n      syntaxPunctuation: fg,\n    },\n  }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean): Record<number, RGBA> {\n  const grays: Record<number, RGBA> = {}\n  const bgR = bg.r * 255\n  const bgG = bg.g * 255\n  const bgB = bg.b * 255\n  const luminance = 0.299 * bgR + 0.587 * bgG + 0.114 * bgB\n\n  for (let i = 1; i <= 12; i++) {\n    const factor = i / 12\n\n    if (isDark && luminance < 10) {\n      const gray = Math.floor(factor * 0.4 * 255)\n      grays[i] = RGBA.fromInts(gray, gray, gray)\n      continue\n    }\n\n    if (!isDark && luminance > 245) {\n      const gray = Math.floor(255 - factor * 0.4 * 255)\n      grays[i] = RGBA.fromInts(gray, gray, gray)\n      continue\n    }\n\n    const next = isDark ? luminance + (255 - luminance) * factor * 0.4 : luminance * (1 - factor * 0.4)\n    const ratio = next / luminance\n    grays[i] = RGBA.fromInts(\n      Math.floor(Math.min(Math.max(bgR * ratio, 0), 255)),\n      Math.floor(Math.min(Math.max(bgG * ratio, 0), 255)),\n      Math.floor(Math.min(Math.max(bgB * ratio, 0), 255)),\n    )\n  }\n\n  return grays\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean): RGBA {\n  const luminance = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n  if (isDark) {\n    const gray = luminance < 10 ? 180 : Math.min(Math.floor(160 + luminance * 0.3), 200)\n    return RGBA.fromInts(gray, gray, gray)\n  }\n\n  const gray = luminance > 245 ? 75 : Math.max(Math.floor(100 - (255 - luminance) * 0.2), 60)\n  return RGBA.fromInts(gray, gray, gray)\n}\n"
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-  "debugId": "E590005611908AE064756E2164756E21",
-  "names": []
-}

bin/chunk-5g3wq3n8.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "E03CF4AEE78CF15064756E2164756E21",
-  "names": []
-}

bin/chunk-5g4gf38y.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/xai-images.ts", "../ai/src/providers/xai.ts"],
-  "sourcesContent": [
-    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport {\n  InvalidProviderOutputReason,\n  LLMError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema\"\nimport { ProviderShared, optionalNull } from \"./shared\"\nimport { ImageInputs } from \"./utils/image-input\"\n\nconst ADAPTER = \"xai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.x.ai/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type XAIImageString<Known extends string> = Known | (string & {})\n\nexport type XAIImageOptions = {\n  readonly n?: number\n  readonly aspectRatio?: XAIImageString<\n    | \"1:1\"\n    | \"3:4\"\n    | \"4:3\"\n    | \"9:16\"\n    | \"16:9\"\n    | \"2:3\"\n    | \"3:2\"\n    | \"9:19.5\"\n    | \"19.5:9\"\n    | \"9:20\"\n    | \"20:9\"\n    | \"1:2\"\n    | \"2:1\"\n    | \"auto\"\n  >\n  readonly aspect_ratio?: XAIImageString<\n    | \"1:1\"\n    | \"3:4\"\n    | \"4:3\"\n    | \"9:16\"\n    | \"16:9\"\n    | \"2:3\"\n    | \"3:2\"\n    | \"9:19.5\"\n    | \"19.5:9\"\n    | \"9:20\"\n    | \"20:9\"\n    | \"1:2\"\n    | \"2:1\"\n    | \"auto\"\n  >\n  readonly resolution?: XAIImageString<\"1k\" | \"2k\">\n  readonly responseFormat?: XAIImageString<\"url\" | \"b64_json\">\n  readonly response_format?: XAIImageString<\"url\" | \"b64_json\">\n} & Record<string, unknown>\n\ntype XAIImageBody = Record<string, unknown> & {\n  readonly model: string\n  readonly prompt: string\n}\n\nconst XAIImageResponse = Schema.Struct({\n  data: Schema.Array(\n    Schema.Struct({\n      b64_json: optionalNull(Schema.String),\n      url: optionalNull(Schema.String),\n      revised_prompt: optionalNull(Schema.String),\n      mime_type: optionalNull(Schema.String),\n    }),\n  ),\n  usage: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n  readonly id: string\n  readonly auth: AuthDefinition\n  readonly baseURL?: string\n  readonly headers?: Record<string, string>\n  readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: XAIImageOptions | undefined) => {\n  if (!options) return undefined\n  const { aspectRatio, responseFormat, ...native } = options\n  return {\n    aspect_ratio: aspectRatio,\n    response_format: responseFormat,\n    ...native,\n  }\n}\n\nconst invalidOutput = (message: string) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute<XAIImageOptions> = {\n    id: ADAPTER,\n    generate: Effect.fn(\"XAIImages.generate\")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {\n      const http = mergeHttpOptions(request.model.http, request.http)\n      const imageReferences = (request.images ?? []).map((image) => {\n        if (image.type === \"bytes\") return { url: ImageInputs.dataUrl(image), type: \"image_url\" as const }\n        if (image.type === \"url\") return { url: image.url, type: \"image_url\" as const }\n        if (image.type === \"file-id\") return { file_id: image.id }\n        return undefined\n      })\n      if (imageReferences.some((image) => image === undefined))\n        return yield* ImageInputs.invalid(ADAPTER, \"xAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n      const requestBody = mergeJsonRecords(\n        {\n          model: request.model.id,\n          prompt: request.prompt,\n          image: imageReferences.length === 1 ? imageReferences[0] : undefined,\n          images: imageReferences.length > 1 ? imageReferences : undefined,\n        },\n        nativeOptions(request.options),\n        http?.body,\n      ) as XAIImageBody\n      const text = ProviderShared.encodeJson(requestBody)\n      const url = applyQuery(\n        `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${imageReferences.length === 0 ? PATH : EDIT_PATH}`,\n        http?.query,\n      )\n      const headers = yield* Auth.toEffect(input.auth)({\n        request,\n        method: \"POST\",\n        url,\n        body: text,\n        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n      })\n      const response = yield* execute(\n        HttpClientRequest.post(url).pipe(\n          HttpClientRequest.setHeaders(headers),\n          HttpClientRequest.bodyText(text, \"application/json\"),\n        ),\n      )\n      const payload = yield* response.json.pipe(\n        Effect.mapError(() => invalidOutput(\"Failed to read the xAI Images response\")),\n      )\n      const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(\n        Effect.mapError(() => invalidOutput(\"xAI Images returned an invalid response\")),\n      )\n      const images = yield* Effect.forEach(decoded.data, (item, index) => {\n        const mediaType = item.mime_type ?? \"application/octet-stream\"\n        if (item.b64_json)\n          return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n            Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),\n            Effect.map(\n              (data) =>\n                new GeneratedImage({\n                  mediaType,\n                  data,\n                  providerMetadata:\n                    item.revised_prompt === undefined || item.revised_prompt === null\n                      ? undefined\n                      : { xai: { revisedPrompt: item.revised_prompt } },\n                }),\n            ),\n          )\n        if (item.url)\n          return Effect.succeed(\n            new GeneratedImage({\n              mediaType,\n              data: item.url,\n              providerMetadata:\n                item.revised_prompt === undefined || item.revised_prompt === null\n                  ? undefined\n                  : { xai: { revisedPrompt: item.revised_prompt } },\n            }),\n          )\n        return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))\n      })\n      if (images.length === 0) return yield* invalidOutput(\"xAI Images returned no images\")\n      const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined\n      return new ImageResponse({\n        images,\n        usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),\n        providerMetadata: usage === undefined ? undefined : { xai: { usage } },\n      })\n    }),\n  }\n  return ImageModel.make<XAIImageOptions>({ id: input.id, provider: \"xai\", route, http: input.http })\n}\n\nexport const XAIImages = {\n  model,\n} as const\n",
-    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport { Route, type RouteDefaultsInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { HttpOptions, ProviderID, type ModelID, type ProviderOptions } from \"../schema\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { XAIImages } from \"../protocols/xai-images\"\nimport type { OpenAIOptionsInput } from \"./openai-options\"\nimport type { ProviderPackage } from \"../provider-package\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = ProviderOptions & {\n  readonly xai?: OpenAIOptionsInput\n}\n\nexport type ModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: XAIProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: XAIProviderOptionsInput\n}\n\nexport type { XAIImageOptions } from \"../protocols/xai-images\"\n\nconst responsesRoute = Route.make({\n  id: \"openai-responses\",\n  provider: id,\n  providerMetadataKey: \"xai\",\n  protocol: OpenAIResponses.protocol,\n  endpoint: Endpoint.path(\"/responses\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n  transport: OpenAIResponses.httpTransport,\n  defaults: { providerOptions: { xai: { store: false } } },\n})\n\nconst chatRoute = Route.make({\n  id: \"openai-compatible-chat\",\n  provider: id,\n  providerMetadataKey: \"xai\",\n  protocol: OpenAIChat.protocol,\n  endpoint: Endpoint.path(\"/chat/completions\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n  transport: OpenAICompatibleChat.route.transport,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return responsesRoute.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nconst configuredChatRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return chatRoute.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nexport const configure = (input: ModelOptions = {}) => {\n  const responsesRoute = configuredResponsesRoute(input)\n  const chatRoute = configuredChatRoute(input)\n  const responses = (modelID: string | ModelID) => responsesRoute.model<XAIProviderOptionsInput>({ id: modelID })\n  const chat = (modelID: string | ModelID) => chatRoute.model<XAIProviderOptionsInput>({ id: modelID })\n  const image = (modelID: string | ModelID) =>\n    XAIImages.model({\n      id: modelID,\n      auth: auth(input),\n      baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,\n      headers: input.headers,\n      http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n    })\n  return {\n    id,\n    model: responses,\n    responses,\n    chat,\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n"
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-}

bin/chunk-5wxf9rj8.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "67343726A627BF8564756E2164756E21",
-  "names": []
-}

bin/chunk-6ad96341.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/resolve.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport type { OpenCodeClient } from \"@opencode-ai/client\"\n\n// Resolve through the MCP-owned integrationID rather than matching integration names: the shared\n// integration registry also holds provider/plugin integrations, whose names could collide with a server.\n// Fails when the server is unknown; returns undefined when the server has no integration (e.g. a local\n// or anonymous server), leaving that case for the caller to interpret.\nexport const resolveIntegration = (client: OpenCodeClient, name: string, location: { directory: string }) =>\n  Effect.gen(function* () {\n    const servers = yield* Effect.promise(() => client.mcp.list({ location }))\n    const server = servers.data.find((entry) => entry.name === name)\n    if (!server) return yield* Effect.fail(new Error(`MCP server not found: ${name}`))\n    const integrationID = server.integrationID\n    if (!integrationID) return undefined\n    return yield* Effect.promise(() => client.integration.get({ integrationID, location })).pipe(\n      Effect.map((result) => result.data ?? undefined),\n    )\n  })\n"
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bin/chunk-6zyk7e27.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/theme/color.ts", "../tui/src/theme/resolve.ts"],
-  "sourcesContent": [
-    "import { RGBA } from \"@opentui/core\"\n\nexport function ansiToRgba(code: number): RGBA {\n  if (code < 16) {\n    const ansiColors = [\n      \"#000000\",\n      \"#800000\",\n      \"#008000\",\n      \"#808000\",\n      \"#000080\",\n      \"#800080\",\n      \"#008080\",\n      \"#c0c0c0\",\n      \"#808080\",\n      \"#ff0000\",\n      \"#00ff00\",\n      \"#ffff00\",\n      \"#0000ff\",\n      \"#ff00ff\",\n      \"#00ffff\",\n      \"#ffffff\",\n    ]\n    return RGBA.fromHex(ansiColors[code] ?? \"#000000\")\n  }\n\n  if (code < 232) {\n    const index = code - 16\n    const b = index % 6\n    const g = Math.floor(index / 6) % 6\n    const r = Math.floor(index / 36)\n    const val = (x: number) => (x === 0 ? 0 : x * 40 + 55)\n    return RGBA.fromInts(val(r), val(g), val(b))\n  }\n\n  if (code < 256) {\n    const gray = (code - 232) * 10 + 8\n    return RGBA.fromInts(gray, gray, gray)\n  }\n\n  return RGBA.fromInts(0, 0, 0)\n}\n\nexport function tint(base: RGBA, overlay: RGBA, alpha: number): RGBA {\n  const r = base.r + (overlay.r - base.r) * alpha\n  const g = base.g + (overlay.g - base.g) * alpha\n  const b = base.b + (overlay.b - base.b) * alpha\n  return RGBA.fromInts(Math.round(r * 255), Math.round(g * 255), Math.round(b * 255))\n}\n",
-    "import { RGBA } from \"@opentui/core\"\nimport { ansiToRgba } from \"./color\"\nimport type { ColorValue, Theme, ThemeColor, ThemeV1Json } from \"./v1\"\n\nexport function resolveThemeColors(\n  theme: ThemeV1Json,\n  mode: \"dark\" | \"light\",\n  resolveAnsi: (code: number) => RGBA = ansiToRgba,\n) {\n  const defs = theme.defs ?? {}\n  function resolveColor(color: ColorValue, chain: string[] = []): RGBA {\n    if (color instanceof RGBA) return color\n    if (typeof color === \"string\") {\n      if (color === \"transparent\" || color === \"none\") return RGBA.fromInts(0, 0, 0, 0)\n\n      if (color.startsWith(\"#\")) return RGBA.fromHex(color)\n\n      if (chain.includes(color)) {\n        throw new Error(`Circular color reference: ${[...chain, color].join(\" -> \")}`)\n      }\n\n      const next = defs[color] ?? theme.theme[color as ThemeColor]\n      if (next === undefined) {\n        throw new Error(`Color reference \"${color}\" not found in defs or theme`)\n      }\n      return resolveColor(next, [...chain, color])\n    }\n    if (typeof color === \"number\") return resolveAnsi(color)\n    return resolveColor(color[mode], chain)\n  }\n\n  const resolved = Object.fromEntries(\n    Object.entries(theme.theme)\n      .filter(([key]) => key !== \"selectedListItemText\" && key !== \"backgroundMenu\" && key !== \"thinkingOpacity\")\n      .map(([key, value]) => [key, resolveColor(value as ColorValue)]),\n  ) as Partial<Record<ThemeColor, RGBA>>\n\n  const hasSelectedListItemText = theme.theme.selectedListItemText !== undefined\n  return {\n    theme: {\n      ...(resolved as Record<ThemeColor, RGBA>),\n      selectedListItemText: hasSelectedListItemText\n        ? resolveColor(theme.theme.selectedListItemText!)\n        : resolved.background!,\n      backgroundMenu:\n        theme.theme.backgroundMenu === undefined\n          ? resolved.backgroundElement!\n          : resolveColor(theme.theme.backgroundMenu),\n    } satisfies Omit<Theme, \"_hasSelectedListItemText\" | \"thinkingOpacity\">,\n    hasSelectedListItemText,\n    thinkingOpacity: theme.theme.thinkingOpacity ?? 0.6,\n  }\n}\n"
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bin/chunk-79wq3ssy.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/run.ts"],
-  "sourcesContent": [
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bin/chunk-7n91jf9t.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/@ai-sdk+deepinfra@2.0.41+d6123d32214422cb/node_modules/@ai-sdk/deepinfra/dist/index.mjs"],
-  "sourcesContent": [
-    "// src/deepinfra-provider.ts\nimport {\n  OpenAICompatibleCompletionLanguageModel,\n  OpenAICompatibleEmbeddingModel\n} from \"@ai-sdk/openai-compatible\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/deepinfra-image-model.ts\nimport {\n  combineHeaders,\n  convertBase64ToUint8Array,\n  convertToFormData,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  downloadBlob,\n  postFormDataToApi,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\nvar DeepInfraImageModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n    this.maxImagesPerCall = 1;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    aspectRatio,\n    seed,\n    providerOptions,\n    headers,\n    abortSignal,\n    files,\n    mask\n  }) {\n    var _a, _b, _c, _d, _e;\n    const warnings = [];\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    if (files != null && files.length > 0) {\n      const { value: response2, responseHeaders: responseHeaders2 } = await postFormDataToApi({\n        url: this.getEditUrl(),\n        headers: combineHeaders(this.config.headers(), headers),\n        formData: convertToFormData(\n          {\n            model: this.modelId,\n            prompt,\n            image: await Promise.all(files.map((file) => fileToBlob(file))),\n            mask: mask != null ? await fileToBlob(mask) : void 0,\n            n,\n            size,\n            ...(_d = providerOptions.deepinfra) != null ? _d : {}\n          },\n          { useArrayBrackets: false }\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: deepInfraEditErrorSchema,\n          errorToMessage: (error) => {\n            var _a2, _b2;\n            return (_b2 = (_a2 = error.error) == null ? void 0 : _a2.message) != null ? _b2 : \"Unknown error\";\n          }\n        }),\n        successfulResponseHandler: createJsonResponseHandler(\n          deepInfraEditResponseSchema\n        ),\n        abortSignal,\n        fetch: this.config.fetch\n      });\n      return {\n        images: response2.data.map((item) => item.b64_json),\n        warnings,\n        response: {\n          timestamp: currentDate,\n          modelId: this.modelId,\n          headers: responseHeaders2\n        }\n      };\n    }\n    const splitSize = size == null ? void 0 : size.split(\"x\");\n    const { value: response, responseHeaders } = await postJsonToApi({\n      url: `${this.config.baseURL}/${this.modelId}`,\n      headers: combineHeaders(this.config.headers(), headers),\n      body: {\n        prompt,\n        num_images: n,\n        ...aspectRatio && { aspect_ratio: aspectRatio },\n        ...splitSize && { width: splitSize[0], height: splitSize[1] },\n        ...seed != null && { seed },\n        ...(_e = providerOptions.deepinfra) != null ? _e : {}\n      },\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: deepInfraErrorSchema,\n        errorToMessage: (error) => error.detail.error\n      }),\n      successfulResponseHandler: createJsonResponseHandler(\n        deepInfraImageResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      images: response.images.map(\n        (image) => image.replace(/^data:image\\/\\w+;base64,/, \"\")\n      ),\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders\n      }\n    };\n  }\n  getEditUrl() {\n    const baseUrl = this.config.baseURL.replace(\"/inference\", \"/openai\");\n    return `${baseUrl}/images/edits`;\n  }\n};\nvar deepInfraErrorSchema = z.object({\n  detail: z.object({\n    error: z.string()\n  })\n});\nvar deepInfraImageResponseSchema = z.object({\n  images: z.array(z.string())\n});\nvar deepInfraEditErrorSchema = z.object({\n  error: z.object({\n    message: z.string()\n  }).optional()\n});\nvar deepInfraEditResponseSchema = z.object({\n  data: z.array(z.object({ b64_json: z.string() }))\n});\nasync function fileToBlob(file) {\n  if (file.type === \"url\") {\n    return downloadBlob(file.url);\n  }\n  const data = file.data instanceof Uint8Array ? file.data : convertBase64ToUint8Array(file.data);\n  return new Blob([data], { type: file.mediaType });\n}\n\n// src/deepinfra-chat-language-model.ts\nimport { OpenAICompatibleChatLanguageModel } from \"@ai-sdk/openai-compatible\";\nvar DeepInfraChatLanguageModel = class extends OpenAICompatibleChatLanguageModel {\n  constructor(modelId, config) {\n    super(modelId, config);\n  }\n  /**\n   * Fixes incorrect token usage for Gemini/Gemma models from DeepInfra.\n   *\n   * DeepInfra's API returns completion_tokens that don't include reasoning_tokens\n   * for Gemini/Gemma models, which violates the OpenAI-compatible spec.\n   * According to the spec, completion_tokens should include reasoning_tokens.\n   *\n   * Example of incorrect data from DeepInfra:\n   * {\n   *   \"completion_tokens\": 84,    // text-only tokens\n   *   \"completion_tokens_details\": {\n   *     \"reasoning_tokens\": 1081  // reasoning tokens not included above\n   *   }\n   * }\n   *\n   * This would result in negative text tokens: 84 - 1081 = -997\n   *\n   * The fix: If reasoning_tokens > completion_tokens, add reasoning_tokens\n   * to completion_tokens: 84 + 1081 = 1165\n   */\n  fixUsageForGeminiModels(usage) {\n    var _a, _b;\n    if (!usage || !((_a = usage.completion_tokens_details) == null ? void 0 : _a.reasoning_tokens)) {\n      return usage;\n    }\n    const completionTokens = (_b = usage.completion_tokens) != null ? _b : 0;\n    const reasoningTokens = usage.completion_tokens_details.reasoning_tokens;\n    if (reasoningTokens > completionTokens) {\n      const correctedCompletionTokens = completionTokens + reasoningTokens;\n      return {\n        ...usage,\n        // Add reasoning_tokens to completion_tokens to get the correct total\n        completion_tokens: correctedCompletionTokens,\n        // Update total_tokens if present\n        total_tokens: usage.total_tokens != null ? usage.total_tokens + reasoningTokens : void 0\n      };\n    }\n    return usage;\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g;\n    const result = await super.doGenerate(options);\n    if ((_a = result.usage) == null ? void 0 : _a.raw) {\n      const fixedRawUsage = this.fixUsageForGeminiModels(result.usage.raw);\n      if (fixedRawUsage !== result.usage.raw) {\n        const promptTokens = (_b = fixedRawUsage.prompt_tokens) != null ? _b : 0;\n        const completionTokens = (_c = fixedRawUsage.completion_tokens) != null ? _c : 0;\n        const cacheReadTokens = (_e = (_d = fixedRawUsage.prompt_tokens_details) == null ? void 0 : _d.cached_tokens) != null ? _e : 0;\n        const reasoningTokens = (_g = (_f = fixedRawUsage.completion_tokens_details) == null ? void 0 : _f.reasoning_tokens) != null ? _g : 0;\n        return {\n          ...result,\n          usage: {\n            inputTokens: {\n              total: promptTokens,\n              noCache: promptTokens - cacheReadTokens,\n              cacheRead: cacheReadTokens,\n              cacheWrite: void 0\n            },\n            outputTokens: {\n              total: completionTokens,\n              text: completionTokens - reasoningTokens,\n              reasoning: reasoningTokens\n            },\n            raw: fixedRawUsage\n          }\n        };\n      }\n    }\n    return result;\n  }\n  async doStream(options) {\n    const result = await super.doStream(options);\n    const originalStream = result.stream;\n    const fixUsage = this.fixUsageForGeminiModels.bind(this);\n    const transformedStream = new ReadableStream({\n      async start(controller) {\n        var _a, _b, _c, _d, _e, _f, _g;\n        const reader = originalStream.getReader();\n        try {\n          while (true) {\n            const { done, value } = await reader.read();\n            if (done) break;\n            if (value.type === \"finish\" && ((_a = value.usage) == null ? void 0 : _a.raw)) {\n              const fixedRawUsage = fixUsage(value.usage.raw);\n              if (fixedRawUsage !== value.usage.raw) {\n                const promptTokens = (_b = fixedRawUsage.prompt_tokens) != null ? _b : 0;\n                const completionTokens = (_c = fixedRawUsage.completion_tokens) != null ? _c : 0;\n                const cacheReadTokens = (_e = (_d = fixedRawUsage.prompt_tokens_details) == null ? void 0 : _d.cached_tokens) != null ? _e : 0;\n                const reasoningTokens = (_g = (_f = fixedRawUsage.completion_tokens_details) == null ? void 0 : _f.reasoning_tokens) != null ? _g : 0;\n                controller.enqueue({\n                  ...value,\n                  usage: {\n                    inputTokens: {\n                      total: promptTokens,\n                      noCache: promptTokens - cacheReadTokens,\n                      cacheRead: cacheReadTokens,\n                      cacheWrite: void 0\n                    },\n                    outputTokens: {\n                      total: completionTokens,\n                      text: completionTokens - reasoningTokens,\n                      reasoning: reasoningTokens\n                    },\n                    raw: fixedRawUsage\n                  }\n                });\n              } else {\n                controller.enqueue(value);\n              }\n            } else {\n              controller.enqueue(value);\n            }\n          }\n          controller.close();\n        } catch (error) {\n          controller.error(error);\n        }\n      }\n    });\n    return {\n      ...result,\n      stream: transformedStream\n    };\n  }\n};\n\n// src/version.ts\nvar VERSION = true ? \"2.0.41\" : \"0.0.0-test\";\n\n// src/deepinfra-provider.ts\nfunction createDeepInfra(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.deepinfra.com/v1\"\n  );\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"DEEPINFRA_API_KEY\",\n        description: \"DeepInfra's API key\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/deepinfra/${VERSION}`\n  );\n  const getCommonModelConfig = (modelType) => ({\n    provider: `deepinfra.${modelType}`,\n    url: ({ path }) => `${baseURL}/openai${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createChatModel = (modelId) => {\n    return new DeepInfraChatLanguageModel(\n      modelId,\n      getCommonModelConfig(\"chat\")\n    );\n  };\n  const createCompletionModel = (modelId) => new OpenAICompatibleCompletionLanguageModel(\n    modelId,\n    getCommonModelConfig(\"completion\")\n  );\n  const createEmbeddingModel = (modelId) => new OpenAICompatibleEmbeddingModel(\n    modelId,\n    getCommonModelConfig(\"embedding\")\n  );\n  const createImageModel = (modelId) => new DeepInfraImageModel(modelId, {\n    ...getCommonModelConfig(\"image\"),\n    baseURL: baseURL ? `${baseURL}/inference` : \"https://api.deepinfra.com/v1/inference\"\n  });\n  const provider = (modelId) => createChatModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.completionModel = createCompletionModel;\n  provider.chatModel = createChatModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.languageModel = createChatModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  return provider;\n}\nvar deepinfra = createDeepInfra();\nexport {\n  VERSION,\n  createDeepInfra,\n  deepinfra\n};\n//# sourceMappingURL=index.mjs.map"
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-}

bin/chunk-7nj9pchr.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"],
-  "sourcesContent": [
-    "import type { ProviderPackage } from \"../provider-package\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { ProviderID, type ModelID } from \"../schema\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic-compatible\")\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport type Settings = ProviderPackage.Settings &\n  (\n    | { readonly apiKey?: string; readonly authToken?: never }\n    | { readonly apiKey?: never; readonly authToken?: string }\n  ) & {\n    readonly baseURL: string\n    readonly provider?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport const routes = [AnthropicMessages.route]\n\nconst auth = (input: ProviderAuthOption<\"optional\">) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\").pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config) => {\n  if (!input.baseURL) throw new Error(\"Anthropic-compatible providers require a baseURL\")\n  const provider = input.provider ?? \"anthropic-compatible\"\n  const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n  const route = AnthropicMessages.route.with({\n    ...rest,\n    provider,\n    endpoint: { baseURL },\n    auth: auth(input),\n  })\n  return {\n    id: ProviderID.make(provider),\n    model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic-compatible apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { AnthropicCompatible } from \"./anthropic-compatible\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic\")\n\nexport const routes = [AnthropicMessages.route]\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport type Settings = ProviderPackage.Settings &\n  (\n    | { readonly apiKey?: string; readonly authToken?: never }\n    | { readonly apiKey?: never; readonly authToken?: string }\n  ) & {\n    readonly baseURL?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n    .orElse(Auth.config(\"ANTHROPIC_API_KEY\"))\n    .pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config = {}) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  const compatible = AnthropicCompatible.configure({\n    ...rest,\n    auth: auth(input),\n    baseURL: baseURL ?? AnthropicMessages.DEFAULT_BASE_URL,\n    provider: id,\n  })\n  return {\n    id,\n    model: (modelID: string | ModelID) => compatible.model(modelID),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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-  "debugId": "8D31B91E5BB62D5564756E2164756E21",
-  "names": []
-}

bin/chunk-84avntpc.js.map

-{
-  "version": 3,
-  "sources": ["src/services/server-connection.ts"],
-  "sourcesContent": [
-    "import { Service, type Endpoint, type EnsureOptions } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, isUnauthorizedError, OpenCode } from \"@opencode-ai/client/promise\"\nimport { OPENCODE_VERSION } from \"../version\"\nimport { Effect, Redacted } from \"effect\"\nimport { Env } from \"../env\"\nimport { ServiceConfig } from \"./service-config\"\nimport { Standalone } from \"./standalone\"\n\nexport type Args = {\n  readonly server?: string\n  readonly standalone?: boolean\n  readonly mismatch?: \"replace\" | \"ignore\" | \"error\"\n  readonly onStart?: EnsureOptions[\"onStart\"]\n}\n\nexport type Resolved = {\n  readonly endpoint: Endpoint\n  readonly service?: ReturnType<typeof managedService>\n}\n\nexport const resolve = Effect.fn(\"cli.server-connection.resolve\")(function* (args: Args) {\n  if (args.server !== undefined && args.standalone)\n    return yield* Effect.fail(new Error(\"--server and --standalone cannot be combined\"))\n  if (args.server !== undefined) {\n    const password = yield* Env.password\n    const endpoint = {\n      url: args.server,\n      auth: password ? { type: \"basic\" as const, username: \"opencode\", password: Redacted.value(password) } : undefined,\n    } satisfies Endpoint\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const health = yield* Effect.tryPromise({\n      try: () => client.health.get({ signal: AbortSignal.timeout(5_000) }),\n      catch: (cause) => connectError(endpoint, cause),\n    })\n    if (health.version !== OPENCODE_VERSION)\n      process.stderr.write(\n        `Warning: Server at ${endpoint.url} has version ${health.version}; this client is ${OPENCODE_VERSION}. Continuing anyway.\\n`,\n      )\n    return { endpoint } satisfies Resolved\n  }\n  if (args.standalone) {\n    return { endpoint: yield* Standalone.start() } satisfies Resolved\n  }\n\n  const options = yield* ServiceConfig.options()\n  return {\n    endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, args.mismatch ?? \"replace\"),\n    service: managedService(options),\n  } satisfies Resolved\n})\n\nfunction managedService(options: EnsureOptions) {\n  const reconnectOptions = { ...options, version: undefined }\n  return {\n    reconnect: () => Service.ensure(reconnectOptions),\n    restart: () =>\n      Effect.gen(function* () {\n        yield* Service.stop(options)\n        yield* Service.ensure(reconnectOptions)\n      }),\n  }\n}\n\nconst resolveManaged = Effect.fnUntraced(function* (\n  options: EnsureOptions,\n  mismatch: NonNullable<Args[\"mismatch\"]>,\n) {\n  if (mismatch === \"replace\") return yield* Service.ensure(options)\n  if (mismatch === \"ignore\") return yield* Service.ensure({ ...options, version: undefined })\n\n  const compatible = yield* Service.discover(options)\n  if (compatible !== undefined) return compatible\n  const existing = yield* Service.discover({ ...options, version: undefined })\n  if (existing !== undefined)\n    return yield* Effect.fail(new Error(\"Background server version does not match this client\"))\n  return yield* Service.ensure(options)\n})\n\nfunction connectError(endpoint: Endpoint, cause: unknown) {\n  if (isUnauthorizedError(cause)) {\n    return new Error(\n      endpoint.auth === undefined\n        ? `Server at ${endpoint.url} requires a password; set OPENCODE_PASSWORD`\n        : `Server at ${endpoint.url} rejected the password`,\n      { cause },\n    )\n  }\n  if (cause instanceof ClientError && cause.reason === \"Transport\")\n    return new Error(`Could not reach server at ${endpoint.url}`, { cause })\n  return new Error(`Server at ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n"
-  ],
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-}

bin/chunk-9cbrcjzt.js.map

-{
-  "version": 3,
-  "sources": ["../core/src/database/migration/20260722170000_canonical_tool_results.ts"],
-  "sourcesContent": [
-    "import { sql } from \"drizzle-orm\"\nimport { Effect, Schema } from \"effect\"\nimport type { DatabaseMigration } from \"../migration\"\n\nconst decodeJson = Schema.decodeUnknownOption(Schema.UnknownFromJsonString)\nconst isObject = Schema.is(Schema.Record(Schema.String, Schema.Unknown))\nconst isJsonObject = Schema.is(Schema.Record(Schema.String, Schema.Json))\n\nconst object = (value: unknown): Record<string, unknown> => (isObject(value) ? value : {})\n\nconst stringify = (value: unknown) => {\n  try {\n    return JSON.stringify(value, null, 2) ?? String(value)\n  } catch {\n    return String(value)\n  }\n}\n\nconst contentOf = (state: Record<string, unknown>) => (Array.isArray(state.content) ? state.content : [])\nconst resultOf = (state: Record<string, unknown>) =>\n  isObject(state.result) && \"value\" in state.result ? state.result.value : state.result\nconst metadataOf = (state: Record<string, unknown>) => {\n  if (isJsonObject(state.structured) && Object.keys(state.structured).length > 0)\n    return { metadata: state.structured }\n  return isJsonObject(state.metadata) ? { metadata: state.metadata } : {}\n}\nconst completedContent = (state: Record<string, unknown>) => {\n  const preserved = contentOf(state)\n  if (preserved.length > 0) return preserved\n  return [{ type: \"text\", text: stringify(Object.keys(object(state.structured)).length ? state.structured : resultOf(state)) }]\n}\n\n/**\n * One-time rewrite of projected tool rows into the canonical result shape:\n * terminal states store model content plus optional metadata; the generic\n * `structured` and `result` fields disappear. Provider-hosted result payloads\n * move into provider-owned result state so hosted continuation survives.\n * Pre-release durable event versions are intentionally left untouched.\n */\nexport default {\n  id: \"20260722170000_canonical_tool_results\",\n  up(tx) {\n    return Effect.gen(function* () {\n      // Keyset-paginated batches keep memory bounded: production databases hold\n      // gigabytes of assistant rows, and materializing them all at once was\n      // measured at a ~5GB RSS spike.\n      let cursor = \"\"\n      while (true) {\n        const messages = yield* tx.all<{ id: string; data: string }>(\n          sql`SELECT id, data FROM session_message WHERE type = 'assistant' AND id > ${cursor} ORDER BY id LIMIT 1000`,\n        )\n        if (messages.length === 0) break\n        cursor = messages[messages.length - 1].id\n        yield* rewrite(tx, messages)\n      }\n    })\n  },\n} satisfies DatabaseMigration.Migration\n\nfunction rewrite(tx: Parameters<DatabaseMigration.Migration[\"up\"]>[0], messages: { id: string; data: string }[]) {\n  return Effect.gen(function* () {\n    for (const row of messages) {\n      // A row that never decoded is skipped rather than failing the whole\n      // migration on every startup; it was equally unreadable before.\n      const decoded = decodeJson(row.data)\n      if (decoded._tag === \"None\") {\n        yield* Effect.logWarning(\"skipping undecodable session_message row\").pipe(Effect.annotateLogs({ id: row.id }))\n        continue\n      }\n      const data = object(decoded.value)\n      if (!Array.isArray(data.content)) continue\n      let changed = false\n      const content = data.content.map((part) => {\n        const tool = object(part)\n        if (tool.type !== \"tool\" || !isObject(tool.state)) return part\n        const state = tool.state\n        if (state.status !== \"completed\" && state.status !== \"error\" && state.status !== \"running\") return part\n        if (!(\"structured\" in state) && !(\"result\" in state)) return part\n        changed = true\n        if (state.status === \"running\")\n          return {\n            ...tool,\n            state: {\n              status: \"running\",\n              input: object(state.input),\n              metadata: object(state.structured),\n            },\n          }\n        // Hosted payloads are irreducible provider replay state; keep them under\n        // the provider-owned result state instead of a generic result field.\n        const hosted =\n          tool.executed === true && isObject(state.result) && \"value\" in state.result\n            ? { providerResultState: { ...object(tool.providerResultState), result: state.result.value } }\n            : {}\n        const preserved = contentOf(state)\n        if (state.status === \"completed\")\n          return {\n            ...tool,\n            ...hosted,\n            state: {\n              status: \"completed\",\n              input: object(state.input),\n              content: completedContent(state),\n              ...metadataOf(state),\n            },\n          }\n        return {\n          ...tool,\n          ...hosted,\n          state: {\n            status: \"error\",\n            input: object(state.input),\n            error: state.error,\n            ...(preserved.length > 0 ? { content: preserved } : {}),\n            ...metadataOf(state),\n          },\n        }\n      })\n      if (!changed) continue\n      yield* tx.run(sql`UPDATE session_message SET data = ${JSON.stringify({ ...data, content })} WHERE id = ${row.id}`)\n    }\n  })\n}\n"
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-  "debugId": "8B59B25559D8241464756E2164756E21",
-  "names": []
-}

bin/chunk-9q0rttt5.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/list.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type McpServer } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.list,\n  Effect.fn(\"cli.mcp.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n    const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n    if (servers.length === 0) {\n      process.stdout.write(\"No MCP servers configured\" + EOL)\n      return\n    }\n    const width = Math.max(...servers.map((server) => server.name.length))\n    const lines = servers.map(\n      (server) => `${icon(server.status)} ${server.name.padEnd(width)}  ${describe(server.status)}`,\n    )\n    process.stdout.write(lines.join(EOL) + EOL)\n  }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"connected\":\n      return \"✓\"\n    case \"needs_auth\":\n      return \"⚠\"\n    case \"failed\":\n    case \"needs_client_registration\":\n      return \"✗\"\n    default:\n      return \"○\"\n  }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"needs_auth\":\n      return \"needs authentication\"\n    case \"needs_client_registration\":\n      return `needs client registration: ${status.error}`\n    case \"failed\":\n      return `failed: ${status.error}`\n    default:\n      return status.status\n  }\n}\n"
-  ],
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-  "debugId": "91AF7D85D72F531B64756E2164756E21",
-  "names": []
-}

bin/chunk-9vp6xfp4.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openrouter.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport { ProviderID, type CacheHint, type ModelID, type ProviderOptions } from \"../schema\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache\"\nimport { isRecord } from \"../protocols/shared\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\ntype OpenRouterString<Known extends string> = Known | (string & {})\n\nexport interface OpenRouterProviderRouting {\n  readonly [key: string]: unknown\n  readonly order?: ReadonlyArray<string>\n  readonly allow_fallbacks?: boolean\n  readonly require_parameters?: boolean\n  readonly data_collection?: OpenRouterString<\"allow\" | \"deny\">\n  readonly only?: ReadonlyArray<string>\n  readonly ignore?: ReadonlyArray<string>\n  readonly quantizations?: ReadonlyArray<string>\n  readonly sort?: OpenRouterString<\"price\" | \"throughput\" | \"latency\">\n  readonly max_price?: Readonly<{\n    prompt?: number | string\n    completion?: number | string\n    image?: number | string\n    audio?: number | string\n    request?: number | string\n  }>\n  readonly zdr?: boolean\n}\n\nexport type OpenRouterPlugin =\n  | Readonly<{\n      id: \"web\"\n      max_results?: number\n      search_prompt?: string\n      engine?: OpenRouterString<\"native\" | \"exa\">\n    }>\n  | Readonly<{ id: \"file-parser\"; max_files?: number; pdf?: { engine?: string } }>\n  | Readonly<{ id: \"moderation\" }>\n  | Readonly<{ id: \"response-healing\" }>\n  | Readonly<{ id: \"auto-router\"; allowed_models?: ReadonlyArray<string> }>\n  | Readonly<{ id: string & {}; [key: string]: unknown }>\n\nexport interface OpenRouterOptions {\n  readonly [key: string]: unknown\n  readonly debug?: Readonly<{ echo_upstream_body?: boolean }>\n  readonly models?: ReadonlyArray<string>\n  readonly plugins?: ReadonlyArray<OpenRouterPlugin>\n  readonly promptCacheKey?: string\n  readonly provider?: OpenRouterProviderRouting\n  readonly reasoning?: Readonly<{\n    enabled?: boolean\n    exclude?: boolean\n    effort?: OpenRouterString<\"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\">\n    max_tokens?: number\n  }>\n  readonly usage?: boolean | Readonly<{ include: boolean }>\n  readonly user?: string\n  readonly web_search_options?: Readonly<{\n    max_results?: number\n    search_prompt?: string\n    engine?: OpenRouterString<\"native\" | \"exa\">\n  }>\n}\n\nexport type OpenRouterProviderOptionsInput = ProviderOptions & {\n  readonly openrouter?: OpenRouterOptions\n}\n\nexport type ModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: OpenRouterProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: OpenRouterProviderOptionsInput\n}\n\nconst OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [\n  Schema.Record(Schema.String, Schema.Any),\n])\nexport type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>\n\nexport const protocol = Protocol.make({\n  id: \"openrouter-chat\",\n  body: {\n    schema: OpenRouterBody,\n    from: (request) =>\n      OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(\n        Effect.map((body) => {\n          const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n          let assistantIndex = 0\n          const messages = body.messages.map((message) => {\n            if (message.role !== \"assistant\") return message\n            const source = sourceAssistants[assistantIndex++]\n            const reasoning = source?.content\n              .filter((part) => part.type === \"reasoning\")\n              .map((part) => part.text)\n              .join(\"\")\n            const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n            return {\n              ...message,\n              reasoning_content: undefined,\n              reasoning_text: undefined,\n              reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n              reasoning_details: reasoningDetails,\n            }\n          })\n          return {\n            ...body,\n            messages,\n            ...bodyOptions(request.providerOptions?.openrouter),\n          } as OpenRouterBody\n        }),\n      ),\n  },\n  stream: OpenAIChat.protocol.stream,\n})\n\nconst cacheControl = () => {\n  const breakpoints = newBreakpoints(4)\n  return (cache: CacheHint | undefined) => {\n    if (cache === undefined || breakpoints.remaining === 0) return undefined\n    breakpoints.remaining -= 1\n    return {\n      type: \"ephemeral\" as const,\n      ...(ttlBucket(cache.ttlSeconds) === \"1h\" ? { ttl: \"1h\" } : {}),\n    }\n  }\n}\n\nconst bodyOptions = (input: unknown) => {\n  const openrouter = isRecord(input) ? input : {}\n  const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =\n    openrouter\n  return {\n    ...options,\n    ...(usage === undefined || usage === true\n      ? { usage: { include: true } }\n      : usage === false\n        ? { usage: { include: false } }\n        : isRecord(usage)\n          ? { usage }\n          : {}),\n    ...(Array.isArray(models) ? { models } : {}),\n    ...(isRecord(provider) ? { provider } : {}),\n    ...(Array.isArray(plugins) ? { plugins } : {}),\n    ...(isRecord(web_search_options) ? { web_search_options } : {}),\n    ...(isRecord(debug) ? { debug } : {}),\n    ...(typeof user === \"string\" ? { user } : {}),\n    ...(isRecord(reasoning) ? { reasoning } : {}),\n    ...(typeof promptCacheKey === \"string\" ? { prompt_cache_key: promptCacheKey } : {}),\n  }\n}\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: profile.provider,\n  protocol,\n  endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n  framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return route.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? profile.baseURL },\n    auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n  })\n}\n\nexport const configure = (input: ModelOptions = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n"
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bin/chunk-9zeqq9bw.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/mini/demo.ts"],
-  "sourcesContent": [
-    "// Demo mode for testing direct interactive mode without a real SDK.\n//\n// Enabled with `--demo`. Intercepts prompt submissions and drives the same\n// presentation commits and footer actions as the live transport. This\n// lets you test scrollback formatting, permission UI, canonical Form UI, and tool\n// snapshots without making actual model calls. Pass a demo slash command as\n// the initial interactive message to trigger a preview immediately.\n//\n// Slash commands:\n//   /permission [kind] → triggers a permission request variant\n//   /form [kind]       → triggers a canonical Form request variant\n//   /fmt <kind>   → emits a specific tool/text type (text, reasoning, shell,\n//                   write, edit, patch, subagent, question, error, mix)\n//\n// Demo mode handles permission and Form replies locally, completing or failing\n// the synthetic tool parts through the same callbacks used by the live footer.\nimport path from \"path\"\nimport type { JsonValue, SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { parseSlashHead } from \"../prompt/parse\"\nimport { writeSessionOutput } from \"./stream\"\nimport { toolCommit, toolFinalPhase } from \"./stream-v2.subagent\"\nimport type {\n  FooterApi,\n  FooterView,\n  FormCancel,\n  FormReply,\n  MiniFormRequest,\n  MiniPermissionRequest,\n  PermissionReply,\n  RunPrompt,\n  StreamCommit,\n} from \"./types\"\n\nconst KINDS = [\n  \"markdown\",\n  \"table\",\n  \"text\",\n  \"reasoning\",\n  \"shell\",\n  \"write\",\n  \"edit\",\n  \"patch\",\n  \"subagent\",\n  \"question\",\n  \"error\",\n  \"mix\",\n]\nconst PERMISSIONS = [\"edit\", \"shell\", \"read\", \"subagent\", \"external\", \"doom\"] as const\nconst FORMS = [\"question\", \"external\"] as const\n\ntype PermissionKind = (typeof PERMISSIONS)[number]\ntype FormKind = (typeof FORMS)[number]\n\nfunction permissionKind(value: string | undefined): PermissionKind | undefined {\n  const next = (value || \"edit\").toLowerCase()\n  return PERMISSIONS.find((item) => item === next)\n}\n\nfunction formKind(value: string | undefined): FormKind | undefined {\n  const next = (value || \"question\").toLowerCase()\n  return FORMS.find((item) => item === next)\n}\n\nconst SAMPLE_MARKDOWN = [\n  \"# Direct Mode Demo\",\n  \"\",\n  \"This is a realistic assistant response for direct-mode formatting checks.\",\n  \"It mixes **bold**, _italic_, `inline code`, links, code fences, and tables in one streamed reply.\",\n  \"\",\n  \"## Summary\",\n  \"\",\n  \"- Restored the final markdown flush so the last block is committed on idle.\",\n  \"- Switched markdown scrollback commits back to top-level block boundaries.\",\n  \"- Added footer-level regression coverage for split-footer rendering.\",\n  \"\",\n  \"## Status\",\n  \"\",\n  \"| Area | Before | After | Notes |\",\n  \"| --- | --- | --- | --- |\",\n  \"| Direct mode | Missing final rows | Stable | Final markdown block now flushes on idle |\",\n  \"| Tables | Dropped in streaming mode | Visible | Block-based commits match the working OpenTUI demo |\",\n  \"| Tests | Partial coverage | Broader coverage | Includes a footer-level split render capture |\",\n  \"\",\n  \"> This sample intentionally includes a wide table so you can spot wrapping and commit bugs quickly.\",\n  \"\",\n  \"```ts\",\n  \"const result = { markdown: true, tables: 2, stable: true }\",\n  \"```\",\n  \"\",\n  \"## Files\",\n  \"\",\n  \"| File | Change |\",\n  \"| --- | --- |\",\n  \"| `scrollback.surface.ts` | Align markdown commit logic with the split-footer demo |\",\n  \"| `footer.ts` | Keep active surfaces across footer-height-only resizes |\",\n  \"| `footer.test.ts` | Capture real split-footer markdown payloads during idle completion |\",\n  \"\",\n  \"Next step: run `/fmt table` if you want a tighter table-only sample.\",\n].join(\"\\n\")\n\nconst SAMPLE_TABLE = [\n  \"# Table Sample\",\n  \"\",\n  \"| Kind | Example | Notes |\",\n  \"| --- | --- | --- |\",\n  \"| Pipe | `A\\\\|B` | Escaped pipes should stay in one cell |\",\n  \"| Unicode | `漢字` | Wide characters should remain aligned |\",\n  \"| Wrap | `LongTokenWithoutNaturalBreaks_1234567890` | Useful for width stress |\",\n  \"| Status | done | Final row should still appear after idle |\",\n].join(\"\\n\")\n\ntype Ref = {\n  msg: string\n  call: string\n  tool: string\n  input: Record<string, JsonValue>\n  start: number\n}\n\ntype FormRequest = {\n  ref: Ref\n  kind: FormKind\n  request: MiniFormRequest\n}\n\ntype Perm = {\n  ref: Ref\n  done: {\n    output: string\n    metadata?: Record<string, JsonValue>\n  }\n}\n\ntype Permit = {\n  ref: Ref\n  permission: string\n  patterns: string[]\n  metadata?: MiniPermissionRequest[\"metadata\"]\n  always: string[]\n  done: Perm[\"done\"]\n}\n\ntype State = {\n  id: string\n  thinking: boolean\n  footer: FooterApi\n  msg: number\n  part: number\n  call: number\n  perm: number\n  form: number\n  perms: Map<string, Perm>\n  forms: Map<string, FormRequest>\n  started: Set<string>\n}\n\ntype Input = {\n  sessionID: string\n  thinking: boolean\n  footer: FooterApi\n}\n\nfunction note(footer: FooterApi, text: string): void {\n  footer.append({\n    kind: \"system\",\n    text,\n    phase: \"start\",\n    source: \"system\",\n  })\n}\n\nfunction clearSubagent(footer: FooterApi): void {\n  footer.event({\n    type: \"stream.subagent\",\n    state: {\n      tabs: [],\n      details: {},\n      permissions: [],\n      forms: [],\n    },\n  })\n}\n\nfunction showSubagent(\n  state: State,\n  input: {\n    sessionID: string\n    label: string\n    description: string\n    status: \"running\" | \"completed\" | \"cancelled\" | \"error\"\n    title?: string\n    commits: StreamCommit[]\n  },\n) {\n  state.footer.event({\n    type: \"stream.subagent\",\n    state: {\n      tabs: [\n        {\n          sessionID: input.sessionID,\n          label: input.label,\n          description: input.description,\n          status: input.status,\n          title: input.title,\n        },\n      ],\n      details: {\n        [input.sessionID]: {\n          commits: input.commits,\n        },\n      },\n      permissions: [],\n      forms: [],\n    },\n  })\n}\n\nfunction wait(ms: number, signal?: AbortSignal): Promise<void> {\n  return new Promise((resolve) => {\n    if (!signal) {\n      setTimeout(resolve, ms)\n      return\n    }\n\n    if (signal.aborted) {\n      resolve()\n      return\n    }\n\n    const done = () => {\n      clearTimeout(timer)\n      signal.removeEventListener(\"abort\", done)\n      resolve()\n    }\n\n    const timer = setTimeout(() => {\n      signal.removeEventListener(\"abort\", done)\n      resolve()\n    }, ms)\n\n    signal.addEventListener(\"abort\", done, { once: true })\n  })\n}\n\nfunction split(text: string): string[] {\n  if (text.length <= 48) {\n    return [text]\n  }\n\n  const size = Math.ceil(text.length / 3)\n  return [text.slice(0, size), text.slice(size, size * 2), text.slice(size * 2)]\n}\n\nfunction take(state: State, key: \"msg\" | \"part\" | \"call\" | \"perm\", prefix: string): string {\n  state[key] += 1\n  return `demo_${prefix}_${state[key]}`\n}\n\nfunction present(state: State, commits: StreamCommit[], view?: FooterView): void {\n  writeSessionOutput(\n    { footer: state.footer },\n    {\n      commits,\n      updates: view\n        ? [\n            {\n              type: \"stream.patch\" as const,\n              patch: { status: view.type === \"permission\" ? \"awaiting permission\" : \"awaiting form\" },\n            },\n            { type: \"stream.view\" as const, view },\n          ]\n        : undefined,\n    },\n  )\n}\n\nfunction clearBlocker(state: State): void {\n  writeSessionOutput(\n    { footer: state.footer },\n    {\n      commits: [],\n      updates: [\n        { type: \"stream.patch\", patch: { status: \"\" } },\n        { type: \"stream.view\", view: { type: \"prompt\" } },\n      ],\n    },\n  )\n}\n\nfunction open(state: State): string {\n  return take(state, \"msg\", \"msg\")\n}\n\nasync function emitText(state: State, body: string, signal?: AbortSignal): Promise<void> {\n  const msg = open(state)\n  const part = take(state, \"part\", \"part\")\n  for (const item of split(body)) {\n    if (signal?.aborted) {\n      return\n    }\n\n    present(state, [\n      { kind: \"assistant\", source: \"assistant\", text: item, phase: \"progress\", messageID: msg, partID: part },\n    ])\n    await wait(45, signal)\n  }\n}\n\nasync function emitReasoning(state: State, body: string, signal?: AbortSignal): Promise<void> {\n  const msg = open(state)\n  const part = take(state, \"part\", \"part\")\n  let first = true\n  for (const item of split(body)) {\n    if (signal?.aborted) {\n      return\n    }\n\n    if (state.thinking) {\n      present(state, [\n        {\n          kind: \"reasoning\",\n          source: \"reasoning\",\n          text: first ? `Thinking: ${item.replace(/\\[REDACTED\\]/g, \"\")}` : item.replace(/\\[REDACTED\\]/g, \"\"),\n          phase: \"progress\",\n          messageID: msg,\n          partID: part,\n        },\n      ])\n      first = false\n    }\n    await wait(45, signal)\n  }\n}\n\nfunction make(state: State, tool: string, input: Record<string, JsonValue>): Ref {\n  return {\n    msg: open(state),\n    call: take(state, \"call\", \"call\"),\n    tool,\n    input,\n    start: Date.now(),\n  }\n}\n\nfunction startTool(state: State, ref: Ref, metadata: Record<string, JsonValue> = {}): SessionMessageAssistantTool {\n  state.started.add(ref.call)\n  const part = {\n    type: \"tool\" as const,\n    id: ref.call,\n    name: ref.tool,\n    state: { status: \"running\" as const, input: ref.input, metadata },\n    time: { created: ref.start, ran: ref.start },\n  }\n  present(state, [toolCommit(part, ref.msg, \"start\")])\n  return part\n}\n\nfunction askPermission(state: State, item: Permit): void {\n  const tool = startTool(state, item.ref)\n\n  const id = take(state, \"perm\", \"perm\")\n  state.perms.set(id, {\n    ref: item.ref,\n    done: item.done,\n  })\n\n  present(state, [], {\n    type: \"permission\",\n    request: {\n      id,\n      sessionID: state.id,\n      action: item.permission,\n      resources: item.patterns,\n      metadata: item.metadata ?? {},\n      save: item.always,\n      source: { type: \"tool\", messageID: item.ref.msg, callID: item.ref.call },\n      tool,\n    },\n  })\n}\n\nfunction doneTool(\n  state: State,\n  ref: Ref,\n  output: {\n    output: string\n    metadata?: Record<string, JsonValue>\n  },\n): void {\n  if (!state.started.has(ref.call)) startTool(state, ref)\n  const part: SessionMessageAssistantTool = {\n    type: \"tool\",\n    id: ref.call,\n    name: ref.tool,\n    state: {\n      status: \"completed\",\n      input: ref.input,\n      content: [{ type: \"text\", text: output.output }],\n      metadata: output.metadata,\n    },\n    time: { created: ref.start, ran: ref.start, completed: Date.now() },\n  }\n  present(state, [toolCommit(part, ref.msg, toolFinalPhase(part))])\n}\n\nfunction failTool(state: State, ref: Ref, error: string): void {\n  if (!state.started.has(ref.call)) startTool(state, ref)\n  present(state, [\n    toolCommit(\n      {\n        type: \"tool\",\n        id: ref.call,\n        name: ref.tool,\n        state: {\n          status: \"error\",\n          input: ref.input,\n          error: { type: \"unknown\", message: error },\n        },\n        time: { created: ref.start, ran: ref.start, completed: Date.now() },\n      },\n      ref.msg,\n      \"final\",\n    ),\n  ])\n}\n\nfunction emitError(state: State, text: string): void {\n  present(state, [{ kind: \"error\", source: \"system\", text, phase: \"start\" }])\n}\n\nasync function emitBash(state: State, signal?: AbortSignal): Promise<void> {\n  const ref = make(state, \"shell\", {\n    command: \"git status\",\n    workdir: process.cwd(),\n    description: \"Show git status\",\n  })\n  startTool(state, ref)\n  await wait(70, signal)\n  doneTool(state, ref, {\n    output: `${process.cwd()}\\ngit status\\nOn branch demo\\nnothing to commit, working tree clean\\n`,\n    metadata: {\n      exit: 0,\n    },\n  })\n}\n\nfunction emitWrite(state: State): void {\n  const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n  const ref = make(state, \"write\", {\n    path: file,\n    content: \"export const demo = 42\\n\",\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {},\n  })\n}\n\nfunction emitEdit(state: State): void {\n  const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n  const ref = make(state, \"edit\", {\n    path: file,\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      files: [\n        {\n          file,\n          status: \"modified\",\n          patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n        },\n      ],\n    },\n  })\n}\n\nfunction emitPatch(state: State): void {\n  const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n  const ref = make(state, \"patch\", {\n    patchText: \"*** Begin Patch\\n*** End Patch\",\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      files: [\n        {\n          status: \"modified\",\n          file,\n          patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n          deletions: 1,\n        },\n        {\n          status: \"added\",\n          file: path.join(process.cwd(), \"README-demo.md\"),\n          patch: \"@@ -0,0 +1,4 @@\\n+# Demo\\n+This is a generated preview file.\\n\",\n          deletions: 0,\n        },\n      ],\n    },\n  })\n}\n\nfunction emitTask(state: State): void {\n  const ref = make(state, \"subagent\", {\n    description: \"Scan run/* for reducer touchpoints\",\n    agent: \"explore\",\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      sessionID: \"ses_demo_child\",\n      status: \"completed\",\n      output: \"\",\n    },\n  })\n  const part = {\n    type: \"tool\",\n    id: \"sub_demo_call_1\",\n    name: \"read\",\n    state: {\n      status: \"running\",\n      input: {\n        path: \"packages/tui/src/mini/stream.ts\",\n        offset: 1,\n        limit: 200,\n      },\n      metadata: {},\n    },\n    time: { created: Date.now(), ran: Date.now() },\n  } satisfies SessionMessageAssistantTool\n  showSubagent(state, {\n    sessionID: \"ses_demo_child\",\n    label: \"Explore\",\n    description: \"Scan run/* for reducer touchpoints\",\n    status: \"completed\",\n    title: \"Reducer touchpoints found\",\n    commits: [\n      {\n        kind: \"user\",\n        text: \"Scan run/* for reducer touchpoints\",\n        phase: \"start\",\n        source: \"system\",\n      },\n      {\n        kind: \"reasoning\",\n        text: \"Thinking: tracing reducer and footer boundaries\",\n        phase: \"progress\",\n        source: \"reasoning\",\n        messageID: \"sub_demo_msg_reasoning\",\n        partID: \"sub_demo_reasoning_1\",\n      },\n      toolCommit(part, \"sub_demo_msg_tool\", \"start\"),\n      {\n        kind: \"assistant\",\n        text: \"Footer updates flow through stream.ts into RunFooter\",\n        phase: \"progress\",\n        source: \"assistant\",\n        messageID: \"sub_demo_msg_text\",\n        partID: \"sub_demo_text_1\",\n      },\n    ],\n  })\n}\n\nfunction emitQuestionTool(state: State): void {\n  const ref = make(state, \"question\", {\n    questions: [\n      {\n        header: \"Style\",\n        question: \"Which output style do you want to inspect?\",\n        options: [\n          { label: \"Diff\", description: \"Show diff block\" },\n          { label: \"Code\", description: \"Show code block\" },\n        ],\n        multiple: false,\n        custom: false,\n      },\n      {\n        header: \"Extras\",\n        question: \"Pick extra rows\",\n        options: [\n          { label: \"Usage\", description: \"Add usage row\" },\n          { label: \"Duration\", description: \"Add duration row\" },\n        ],\n        multiple: true,\n        custom: true,\n      },\n    ],\n  })\n  doneTool(state, ref, {\n    output: \"\",\n    metadata: {\n      answers: [[\"Diff\"], [\"Usage\", \"custom-note\"]],\n    },\n  })\n}\n\nfunction emitPermission(state: State, kind: PermissionKind = \"edit\"): void {\n  const root = process.cwd()\n  const file = path.join(root, \"src\", \"demo-format.ts\")\n\n  if (kind === \"shell\") {\n    const command = \"git status --short\"\n    const ref = make(state, \"shell\", {\n      command,\n      workdir: root,\n      description: \"Inspect worktree changes\",\n    })\n    askPermission(state, {\n      ref,\n      permission: \"shell\",\n      patterns: [command],\n      always: [\"*\"],\n      done: {\n        output: `${root}\\ngit status --short\\n M src/demo-format.ts\\n?? src/demo-permission.ts\\n`,\n        metadata: {\n          exit: 0,\n        },\n      },\n    })\n    return\n  }\n\n  if (kind === \"read\") {\n    const target = path.join(root, \"package.json\")\n    const ref = make(state, \"read\", {\n      path: target,\n      offset: 1,\n      limit: 80,\n    })\n    askPermission(state, {\n      ref,\n      permission: \"read\",\n      patterns: [target],\n      always: [target],\n      done: {\n        output: [\"1: {\", '2:   \"name\": \"opencode\",', '3:   \"private\": true', \"4: }\"].join(\"\\n\"),\n        metadata: {},\n      },\n    })\n    return\n  }\n\n  if (kind === \"subagent\") {\n    const ref = make(state, \"subagent\", {\n      description: \"Inspect footer spacing across direct-mode prompts\",\n      agent: \"explore\",\n    })\n    askPermission(state, {\n      ref,\n      permission: \"subagent\",\n      patterns: [\"explore\"],\n      always: [\"*\"],\n      done: {\n        output: \"\",\n        metadata: {\n          sessionID: \"sub_demo_perm_1\",\n          status: \"completed\",\n          output: \"\",\n        },\n      },\n    })\n    return\n  }\n\n  if (kind === \"external\") {\n    const dir = path.join(path.dirname(root), \"demo-shared\")\n    const target = path.join(dir, \"README.md\")\n    const ref = make(state, \"read\", {\n      path: target,\n      offset: 1,\n      limit: 40,\n    })\n    askPermission(state, {\n      ref,\n      permission: \"external_directory\",\n      patterns: [`${dir}/**`],\n      metadata: {\n        parentDir: dir,\n        filepath: target,\n      },\n      always: [`${dir}/**`],\n      done: {\n        output: `1: # External demo\\n2: Shared preview file\\nPath: ${target}`,\n        metadata: {},\n      },\n    })\n    return\n  }\n\n  if (kind === \"doom\") {\n    const ref = make(state, \"subagent\", {\n      description: \"Retry the formatter after repeated failures\",\n      agent: \"general\",\n    })\n    askPermission(state, {\n      ref,\n      permission: \"doom_loop\",\n      patterns: [\"*\"],\n      always: [\"*\"],\n      done: {\n        output: \"Continuing after repeated failures.\\n\",\n        metadata: {},\n      },\n    })\n    return\n  }\n\n  const diff = \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\"\n  const ref = make(state, \"edit\", {\n    path: file,\n  })\n  askPermission(state, {\n    ref,\n    permission: \"edit\",\n    patterns: [file],\n    always: [file],\n    done: {\n      output: \"\",\n      metadata: {\n        files: [{ file, status: \"modified\", patch: diff }],\n      },\n    },\n  })\n}\n\nfunction demoForm(kind: FormKind): { title: string; fields: MiniFormRequest[\"fields\"]; questions?: JsonValue[] } {\n  if (kind === \"question\") {\n    const questions: JsonValue[] = [\n      {\n        header: \"Layout\",\n        question: \"Which footer view should be the reference for spacing checks?\",\n        options: [\n          { label: \"Form\", description: \"Inspect the canonical Form footer\" },\n          { label: \"Prompt\", description: \"Return to the normal composer\" },\n        ],\n        multiple: false,\n        custom: true,\n      },\n      {\n        header: \"Checks\",\n        question: \"Pick formatting previews\",\n        options: [\n          { label: \"Diff\", description: \"Emit an edit diff\" },\n          { label: \"Subagent\", description: \"Emit a subagent card\" },\n        ],\n        multiple: true,\n        custom: true,\n      },\n    ]\n    return {\n      title: \"Questions\",\n      questions,\n      fields: [\n        {\n          key: \"q0\",\n          title: \"Layout\",\n          description: \"Which footer view should be the reference for spacing checks?\",\n          type: \"string\",\n          options: [\n            { value: \"Form\", label: \"Form\", description: \"Inspect the canonical Form footer\" },\n            { value: \"Prompt\", label: \"Prompt\", description: \"Return to the normal composer\" },\n          ],\n          custom: true,\n        },\n        {\n          key: \"q1\",\n          title: \"Checks\",\n          description: \"Pick formatting previews\",\n          type: \"multiselect\",\n          options: [\n            { value: \"Diff\", label: \"Diff\", description: \"Emit an edit diff\" },\n            { value: \"Subagent\", label: \"Subagent\", description: \"Emit a subagent card\" },\n          ],\n          custom: true,\n        },\n      ],\n    }\n  }\n  return {\n    title: \"MCP authorization\",\n    fields: [\n      {\n        key: \"authorization\",\n        type: \"external\",\n        url: \"https://example.com/opencode-demo\",\n        title: \"Authorize demo MCP server\",\n        description: \"Complete authorization in your browser\",\n      },\n    ],\n  }\n}\n\nfunction emitForm(state: State, kind: FormKind = \"question\"): void {\n  const form = demoForm(kind)\n  const ref = make(state, kind === \"question\" ? \"question\" : \"mcp_demo\", {\n    ...(form.questions ? { questions: form.questions } : { form: kind }),\n  })\n  startTool(state, ref)\n  state.form++\n  const request: MiniFormRequest = {\n    id: `frm_demo_${state.form}`,\n    sessionID: state.id,\n    title: form.title,\n    metadata:\n      kind === \"question\"\n        ? { kind: \"question\", tool: { messageID: ref.msg, callID: ref.call } }\n        : { kind: \"mcp\", message: `Synthetic ${kind} MCP elicitation` },\n    fields: form.fields,\n  }\n  state.forms.set(request.id, { ref, kind, request })\n  present(state, [], { type: \"form\", request })\n}\n\nasync function emitFmt(state: State, kind: string, body: string, signal?: AbortSignal): Promise<boolean> {\n  if (kind === \"text\") {\n    await emitText(state, body || SAMPLE_MARKDOWN, signal)\n    return true\n  }\n\n  if (kind === \"markdown\" || kind === \"md\") {\n    await emitText(state, body || SAMPLE_MARKDOWN, signal)\n    return true\n  }\n\n  if (kind === \"table\") {\n    await emitText(state, body || SAMPLE_TABLE, signal)\n    return true\n  }\n\n  if (kind === \"reasoning\") {\n    await emitReasoning(state, body || \"Planning next steps [REDACTED] while preserving reducer ordering.\", signal)\n    return true\n  }\n\n  if (kind === \"shell\") {\n    await emitBash(state, signal)\n    return true\n  }\n\n  if (kind === \"write\") {\n    emitWrite(state)\n    return true\n  }\n\n  if (kind === \"edit\") {\n    emitEdit(state)\n    return true\n  }\n\n  if (kind === \"patch\") {\n    emitPatch(state)\n    return true\n  }\n\n  if (kind === \"subagent\") {\n    emitTask(state)\n    return true\n  }\n\n  if (kind === \"question\") {\n    emitQuestionTool(state)\n    return true\n  }\n\n  if (kind === \"error\") {\n    emitError(state, body || \"demo error event\")\n    return true\n  }\n\n  if (kind === \"mix\") {\n    await emitText(state, SAMPLE_MARKDOWN, signal)\n    await wait(50, signal)\n    await emitReasoning(state, \"Thinking through formatter edge cases [REDACTED].\", signal)\n    await wait(50, signal)\n    await emitBash(state, signal)\n    emitWrite(state)\n    emitEdit(state)\n    emitPatch(state)\n    emitTask(state)\n    emitQuestionTool(state)\n    emitError(state, \"demo mixed scenario error\")\n    return true\n  }\n\n  return false\n}\n\nfunction intro(state: State): void {\n  note(\n    state.footer,\n    [\n      \"Demo slash commands enabled for interactive mode.\",\n      `- /permission [kind] (${PERMISSIONS.join(\", \")})`,\n      `- /form [kind] (${FORMS.join(\", \")})`,\n      `- /fmt <kind> (${KINDS.join(\", \")})`,\n      \"Examples:\",\n      \"- /permission shell\",\n      \"- /form question\",\n      \"- /form external\",\n      \"- /fmt markdown\",\n      \"- /fmt table\",\n      \"- /fmt text your custom text\",\n    ].join(\"\\n\"),\n  )\n}\n\nexport function createRunDemo(input: Input) {\n  const state: State = {\n    id: input.sessionID,\n    thinking: input.thinking,\n    footer: input.footer,\n    msg: 0,\n    part: 0,\n    call: 0,\n    perm: 0,\n    form: 0,\n    perms: new Map(),\n    forms: new Map(),\n    started: new Set(),\n  }\n\n  const start = async (): Promise<void> => {\n    intro(state)\n  }\n\n  const prompt = async (line: RunPrompt, signal?: AbortSignal): Promise<boolean> => {\n    const text = line.text.trim()\n    const head = parseSlashHead(text)\n    const list = head?.arguments.split(/\\s+/).filter(Boolean) ?? []\n    const cmd = head ? `/${head.name}` : \"\"\n\n    clearSubagent(state.footer)\n\n    if (cmd === \"/help\") {\n      intro(state)\n      return true\n    }\n\n    if (cmd === \"/permission\") {\n      const kind = permissionKind(list[0])\n      if (!kind) {\n        note(state.footer, `Pick a permission kind: ${PERMISSIONS.join(\", \")}`)\n        return true\n      }\n\n      emitPermission(state, kind)\n      return true\n    }\n\n    if (cmd === \"/form\") {\n      const kind = formKind(list[0])\n      if (!kind) {\n        note(state.footer, `Pick a form kind: ${FORMS.join(\", \")}`)\n        return true\n      }\n\n      emitForm(state, kind)\n      return true\n    }\n\n    if (cmd === \"/fmt\") {\n      const kind = (list[0] || \"\").toLowerCase()\n      const body = list.slice(1).join(\" \")\n      if (!kind) {\n        note(state.footer, `Pick a kind: ${KINDS.join(\", \")}`)\n        return true\n      }\n\n      const ok = await emitFmt(state, kind, body, signal)\n      if (ok) {\n        return true\n      }\n\n      note(state.footer, `Unknown kind \"${kind}\". Use: ${KINDS.join(\", \")}`)\n      return true\n    }\n\n    return false\n  }\n\n  const permission = (input: PermissionReply): boolean => {\n    const item = state.perms.get(input.requestID)\n    if (!item || !input.reply) {\n      return false\n    }\n\n    state.perms.delete(input.requestID)\n    clearBlocker(state)\n\n    if (input.reply === \"reject\") {\n      failTool(state, item.ref, input.message || \"permission rejected\")\n      return true\n    }\n\n    doneTool(state, item.ref, item.done)\n    return true\n  }\n\n  const formReply = (input: FormReply): boolean => {\n    const form = state.forms.get(input.formID)\n    if (!form || input.sessionID !== form.request.sessionID) return false\n    state.forms.delete(input.formID)\n    clearBlocker(state)\n    if (form.kind === \"question\") {\n      doneTool(state, form.ref, {\n        output: \"\",\n        metadata: {\n          answers: form.request.fields.map((field) => {\n            const value = input.answer[field.key]\n            if (value === undefined) return []\n            return Array.isArray(value) ? [...value] : [String(value)]\n          }),\n        },\n      })\n      return true\n    }\n    doneTool(state, form.ref, {\n      output: `Form submitted: ${Object.entries(input.answer)\n        .map(([key, value]) => `${key}=${Array.isArray(value) ? value.join(\", \") : String(value)}`)\n        .join(\"; \")}\\n`,\n      metadata: { answer: input.answer },\n    })\n    return true\n  }\n\n  const formCancel = (input: FormCancel): boolean => {\n    const form = state.forms.get(input.formID)\n    if (!form || input.sessionID !== form.request.sessionID) return false\n    state.forms.delete(input.formID)\n    clearBlocker(state)\n    failTool(state, form.ref, \"form cancelled\")\n    return true\n  }\n\n  return {\n    start,\n    prompt,\n    permission,\n    formReply,\n    formCancel,\n  }\n}\n"
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-  "debugId": "BFE66730EEA0CE9364756E2164756E21",
-  "names": []
-}

bin/chunk-a29n0k1m.js.map

-{
-  "version": 3,
-  "sources": ["../util/src/bom.ts", "../util/src/patch.ts"],
-  "sourcesContent": [
-    "export * as Bom from \"./bom.js\"\n\nimport { Effect } from \"effect\"\nimport { FSUtil } from \"./fs-util.js\"\n\nconst code = 0xfeff\nconst value = String.fromCharCode(code)\n\nexport function split(text: string) {\n  const stripped = text.replace(/^\\uFEFF+/, \"\")\n  return { bom: stripped.length !== text.length, text: stripped }\n}\n\nexport function join(text: string, bom: boolean) {\n  const stripped = split(text).text\n  return bom ? value + stripped : stripped\n}\n\nexport function has(content: Uint8Array) {\n  return content[0] === 0xef && content[1] === 0xbb && content[2] === 0xbf\n}\n\nexport const readFile = Effect.fn(\"Bom.readFile\")(function* (fs: FSUtil.Interface, filepath: string) {\n  return split(decode(yield* fs.readFile(filepath)))\n})\n\nexport const syncFile = Effect.fn(\"Bom.syncFile\")(function* (fs: FSUtil.Interface, filepath: string, bom: boolean) {\n  const decoded = decode(yield* fs.readFile(filepath))\n  const current = split(decoded)\n  const canonical = join(current.text, bom)\n  if (decoded === canonical) return current.text\n  yield* fs.writeWithDirs(filepath, canonical)\n  return current.text\n})\n\nfunction decode(content: Uint8Array) {\n  return new TextDecoder(\"utf-8\", { ignoreBOM: true }).decode(content)\n}\n",
-    "export * as Patch from \"./patch.js\"\n\nimport { Result, Schema } from \"effect\"\nimport { Bom } from \"./bom.js\"\n\nexport class BoundaryError extends Schema.TaggedErrorClass<BoundaryError>()(\"Patch.BoundaryError\", {\n  boundary: Schema.Literals([\"first\", \"last\"]),\n}) {\n  override get message() {\n    return `The ${this.boundary} line of the patch must be '${this.boundary === \"first\" ? \"*** Begin Patch\" : \"*** End Patch\"}'`\n  }\n}\n\nexport class InvalidHunkError extends Schema.TaggedErrorClass<InvalidHunkError>()(\"Patch.InvalidHunkError\", {\n  line: Schema.String,\n  lineNumber: Schema.Number,\n  reason: Schema.optional(Schema.String),\n}) {\n  override get message() {\n    if (this.reason) return `Invalid hunk at line ${this.lineNumber}: ${this.reason}`\n    return `Invalid hunk at line ${this.lineNumber}: '${this.line}' is not a valid hunk header. Valid hunk headers: '*** Add File: {path}', '*** Delete File: {path}', '*** Update File: {path}'`\n  }\n}\n\nexport type ParseError = BoundaryError | InvalidHunkError\n\nexport type Hunk =\n  | { readonly type: \"add\"; readonly path: string; readonly contents: string }\n  | { readonly type: \"delete\"; readonly path: string }\n  | {\n      readonly type: \"update\"\n      readonly path: string\n      readonly movePath?: string\n      readonly chunks: ReadonlyArray<UpdateFileChunk>\n    }\n\nexport interface UpdateFileChunk {\n  readonly oldLines: ReadonlyArray<string>\n  readonly newLines: ReadonlyArray<string>\n  readonly changeContext?: string\n  readonly endOfFile?: boolean\n}\n\nexport interface FileUpdate {\n  readonly content: string\n  readonly bom: boolean\n}\n\nexport function parse(patchText: string): Result.Result<ReadonlyArray<Hunk>, ParseError> {\n  const lines = stripHeredoc(patchText.trim())\n    .split(\"\\n\")\n    .map((line) => (line.endsWith(\"\\r\") ? line.slice(0, -1) : line))\n  const begin = lines[0]?.trim() === \"*** Begin Patch\" ? 0 : -1\n  const end = lines.at(-1)?.trim() === \"*** End Patch\" ? lines.length - 1 : -1\n  if (begin === -1) return Result.fail(new BoundaryError({ boundary: \"first\" }))\n  if (end === -1 || begin >= end) return Result.fail(new BoundaryError({ boundary: \"last\" }))\n\n  const hunks: Hunk[] = []\n  let index = begin + 1\n  while (index < end) {\n    const line = lines[index]!\n    const header = line.trim()\n    if (\n      index === begin + 1 &&\n      header.startsWith(\"*** Environment ID:\") &&\n      header.slice(\"*** Environment ID:\".length).trim()\n    ) {\n      index++\n      continue\n    }\n    if (header.startsWith(\"*** Add File: \")) {\n      const path = header.slice(\"*** Add File: \".length).trim()\n      const parsed = parseAdd(lines, index + 1, end, path)\n      if (\"error\" in parsed) return Result.fail(parsed.error)\n      hunks.push({ type: \"add\", path, contents: parsed.content })\n      index = parsed.next\n      continue\n    }\n    if (header.startsWith(\"*** Delete File: \")) {\n      const path = header.slice(\"*** Delete File: \".length).trim()\n      const next = lines[index + 1]?.trim()\n      if (index + 1 < end && next !== undefined && !isBoundary(next)) {\n        if (next.startsWith(\"*** \")) {\n          return Result.fail(new InvalidHunkError({ line: next, lineNumber: index + 2 }))\n        }\n        return Result.fail(\n          new InvalidHunkError({\n            line: next,\n            lineNumber: index + 2,\n            reason: `Unexpected line after Delete File '${path}': '${next}'. Delete hunks do not contain body lines`,\n          }),\n        )\n      }\n      hunks.push({ type: \"delete\", path })\n      index++\n      continue\n    }\n    if (header.startsWith(\"*** Update File: \")) {\n      const path = header.slice(\"*** Update File: \".length).trim()\n      let next = index + 1\n      let movePath: string | undefined\n      while (lines[next]?.trimEnd() === \"*** End of File\") next++\n      const move = lines[next]?.trimEnd()\n      if (move === \"*** Move to:\" || move?.startsWith(\"*** Move to: \")) {\n        movePath = move.slice(\"*** Move to: \".length).trim()\n        if (!movePath) {\n          return Result.fail(\n            new InvalidHunkError({\n              line: lines[next]!.trim(),\n              lineNumber: next + 1,\n              reason: `Move destination for '${path}' must not be empty`,\n            }),\n          )\n        }\n        next++\n      }\n      const parsed = parseUpdate(lines, next, end, path, index)\n      if (\"error\" in parsed) return Result.fail(parsed.error)\n      hunks.push({ type: \"update\", path, movePath, chunks: parsed.chunks })\n      index = parsed.next\n      continue\n    }\n    return Result.fail(new InvalidHunkError({ line: header, lineNumber: index + 1 }))\n  }\n  return Result.succeed(hunks)\n}\n\nexport function derive(path: string, chunks: ReadonlyArray<UpdateFileChunk>, original: string): FileUpdate {\n  const source = Bom.split(original)\n  const lines = source.text.split(\"\\n\")\n  if (lines.at(-1) === \"\") lines.pop()\n  const replacements = computeReplacements(lines, path, chunks)\n  const updated = [...lines]\n  for (const [start, remove, insert] of replacements.toReversed()) updated.splice(start, remove, ...insert)\n  if (updated.at(-1) !== \"\") updated.push(\"\")\n  const next = Bom.split(updated.join(\"\\n\"))\n  return { content: next.text, bom: source.bom || next.bom }\n}\n\nexport function joinBom(text: string, bom: boolean) {\n  return Bom.join(text, bom)\n}\n\nfunction parseAdd(\n  lines: ReadonlyArray<string>,\n  start: number,\n  end: number,\n  path: string,\n): { content: string; next: number } | { error: InvalidHunkError } {\n  const content: string[] = []\n  let index = start\n  while (index < end && !isBoundary(lines[index]!.trim())) {\n    if (!lines[index]!.startsWith(\"+\")) {\n      const line = lines[index]!.trim()\n      return {\n        error: new InvalidHunkError({\n          line,\n          lineNumber: index + 1,\n          reason: `Invalid Add File line for '${path}': expected a line starting with '+', got '${line}'`,\n        }),\n      }\n    }\n    content.push(lines[index]!.slice(1))\n    index++\n  }\n  return { content: content.join(\"\\n\"), next: index }\n}\n\nfunction parseUpdate(\n  lines: ReadonlyArray<string>,\n  start: number,\n  end: number,\n  path: string,\n  hunk: number,\n): { chunks: ReadonlyArray<UpdateFileChunk>; next: number } | { error: InvalidHunkError } {\n  const chunks: Array<{\n    oldLines: string[]\n    newLines: string[]\n    changeContext?: string\n    endOfFile?: boolean\n  }> = []\n  let index = start\n  let afterEndOfFile = false\n  while (index < end) {\n    const line = lines[index]!\n    const updateLine = line.trimEnd()\n    if (afterEndOfFile) {\n      if (updateLine === \"\") {\n        index++\n        continue\n      }\n      if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) afterEndOfFile = false\n      else if (isBoundary(updateLine)) break\n      else {\n        return {\n          error: new InvalidHunkError({\n            line,\n            lineNumber: index + 1,\n            reason: `Expected update hunk to start with a @@ context marker, got: '${line}'`,\n          }),\n        }\n      }\n    }\n    if (updateLine === \"*** End of File\") {\n      const chunk = chunks.at(-1)\n      if (chunk && chunk.oldLines.length === 0 && chunk.newLines.length === 0) {\n        return {\n          error: new InvalidHunkError({\n            line: updateLine,\n            lineNumber: index + 1,\n            reason: \"Update hunk does not contain any lines\",\n          }),\n        }\n      }\n      if (chunk) {\n        chunk.endOfFile = true\n        afterEndOfFile = true\n      }\n      index++\n      continue\n    }\n    if (isBoundary(updateLine)) break\n    if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) {\n      const previous = chunks.at(-1)\n      if (previous && previous.oldLines.length === 0 && previous.newLines.length === 0) {\n        return {\n          error: new InvalidHunkError({\n            line,\n            lineNumber: index + 1,\n            reason: `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n          }),\n        }\n      }\n      chunks.push({\n        oldLines: [],\n        newLines: [],\n        changeContext: updateLine === \"@@\" ? undefined : updateLine.slice(\"@@ \".length),\n      })\n      index++\n      continue\n    }\n    if (chunks.length === 0) chunks.push({ oldLines: [], newLines: [] })\n    const chunk = chunks.at(-1)!\n    if (line === \"\") {\n      chunk.oldLines.push(\"\")\n      chunk.newLines.push(\"\")\n      index++\n      continue\n    }\n    if (line.startsWith(\" \")) {\n      chunk.oldLines.push(line.slice(1))\n      chunk.newLines.push(line.slice(1))\n      index++\n      continue\n    }\n    if (line.startsWith(\"-\")) {\n      chunk.oldLines.push(line.slice(1))\n      index++\n      continue\n    }\n    if (line.startsWith(\"+\")) {\n      chunk.newLines.push(line.slice(1))\n      index++\n      continue\n    }\n    const populated = chunk.oldLines.length > 0 || chunk.newLines.length > 0\n    return {\n      error: new InvalidHunkError({\n        line,\n        lineNumber: index + 1,\n        reason: populated\n          ? `Expected update hunk to start with a @@ context marker, got: '${line}'`\n          : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n      }),\n    }\n  }\n  if (chunks.length === 0) {\n    return {\n      error: new InvalidHunkError({\n        line: lines[hunk]!.trim(),\n        lineNumber: hunk + 1,\n        reason: `Update file hunk for path '${path}' is empty`,\n      }),\n    }\n  }\n  const last = chunks.at(-1)!\n  if (last.oldLines.length === 0 && last.newLines.length === 0) {\n    const line = lines[index]!.trim()\n    return {\n      error: new InvalidHunkError({\n        line,\n        lineNumber: index + 1,\n        reason:\n          line === \"*** End Patch\"\n            ? \"Update hunk does not contain any lines\"\n            : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n      }),\n    }\n  }\n  return { chunks, next: index }\n}\n\nfunction isBoundary(line: string) {\n  return (\n    line === \"*** End Patch\" ||\n    line.startsWith(\"*** Add File: \") ||\n    line.startsWith(\"*** Delete File: \") ||\n    line.startsWith(\"*** Update File: \")\n  )\n}\n\nfunction computeReplacements(lines: ReadonlyArray<string>, path: string, chunks: ReadonlyArray<UpdateFileChunk>) {\n  const replacements: Array<readonly [start: number, remove: number, insert: ReadonlyArray<string>]> = []\n  let lineIndex = 0\n  for (const chunk of chunks) {\n    if (chunk.changeContext) {\n      const context = seek(lines, [chunk.changeContext], lineIndex)\n      if (context === -1) throw new Error(`Failed to find context '${chunk.changeContext}' in ${path}`)\n      lineIndex = context + 1\n    }\n    if (chunk.oldLines.length === 0) {\n      replacements.push([lines.length, 0, chunk.newLines])\n      continue\n    }\n    let oldLines = chunk.oldLines\n    let newLines = chunk.newLines\n    let found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n    if (found === -1 && oldLines.at(-1) === \"\") {\n      oldLines = oldLines.slice(0, -1)\n      if (newLines.at(-1) === \"\") newLines = newLines.slice(0, -1)\n      found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n    }\n    if (found === -1 && chunk.oldLines.every((line) => line === \"\")) {\n      const expected =\n        chunk.oldLines.length === 1 ? \"an expected blank line\" : `${chunk.oldLines.length} consecutive blank lines`\n      throw new Error(`Failed to find ${expected} in ${path}`)\n    }\n    if (found === -1) throw new Error(`Failed to find expected lines in ${path}:\\n${chunk.oldLines.join(\"\\n\")}`)\n    replacements.push([found, oldLines.length, newLines])\n    lineIndex = found + oldLines.length\n  }\n  return replacements.toSorted((left, right) => left[0] - right[0])\n}\n\nfunction seek(lines: ReadonlyArray<string>, pattern: ReadonlyArray<string>, start: number, eof = false) {\n  if (pattern.length === 0) return -1\n  if (eof) {\n    const offset = lines.length - pattern.length\n    if (offset < start) return -1\n    for (const compare of [exact, rstrip, trim, normalized]) {\n      if (matches(lines, pattern, offset, compare)) return offset\n    }\n    return -1\n  }\n  for (const compare of [exact, rstrip, trim, normalized]) {\n    for (let offset = start; offset <= lines.length - pattern.length; offset++) {\n      if (matches(lines, pattern, offset, compare)) return offset\n    }\n  }\n  return -1\n}\n\nfunction matches(\n  lines: ReadonlyArray<string>,\n  pattern: ReadonlyArray<string>,\n  offset: number,\n  compare: (left: string, right: string) => boolean,\n) {\n  return pattern.every((line, index) => compare(lines[offset + index]!, line))\n}\n\nconst exact = (left: string, right: string) => left === right\nconst rstrip = (left: string, right: string) => left.trimEnd() === right.trimEnd()\nconst trim = (left: string, right: string) => left.trim() === right.trim()\nconst normalized = (left: string, right: string) => normalize(left.trim()) === normalize(right.trim())\nconst normalize = (value: string) =>\n  value\n    .replace(/[‘’‚‛]/g, \"'\")\n    .replace(/[“”„‟]/g, '\"')\n    .replace(/[‐‑‒–—―−]/g, \"-\")\n    .replace(/[\\u00A0\\u2002-\\u200A\\u202F\\u205F\\u3000]/g, \" \")\nconst stripHeredoc = (input: string) => input.match(/^(?:cat\\s+)?<<(['\"]?)(\\w+)\\1\\s*\\n([\\s\\S]*?)\\n\\2\\s*$/)?.[3] ?? input\n"
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-  "debugId": "0491C0ECAE14F94064756E2164756E21",
-  "names": []
-}

bin/chunk-avtf2bg1.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/start.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.start,\n  Effect.fn(\"cli.service.start\")(function* () {\n    const transport = yield* Service.ensure(yield* ServiceConfig.options())\n    process.stdout.write(transport.url + EOL)\n  }),\n)\n"
-  ],
-  "mappings": ";+0BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,WACnC,OAAO,QAAG,wBAAmB,OAAE,cAAU,OAAG,MAC1C,SAAM,OAAY,WAAO,OAAQ,YAAO,MAAO,EAAc,QAAQ,CAAC,EACtE,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
-  "debugId": "C4DA16569FB9E0C364756E2164756E21",
-  "names": []
-}

bin/chunk-bzspgxnz.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/entity.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/column-common.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/column.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/table.utils.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/table.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/subquery.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/tracing-utils.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/tracing.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/view-common.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/sql/sql.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/sql/expressions/conditions.js", "../../node_modules/.bun/drizzle-orm@1.0.0-rc.2+fa6decbc53b38090/node_modules/drizzle-orm/sql/expressions/select.js"],
-  "sourcesContent": [
-    "//#region src/entity.ts\nconst entityKind = Symbol.for(\"drizzle:entityKind\");\nconst hasOwnEntityKind = Symbol.for(\"drizzle:hasOwnEntityKind\");\nfunction is(value, type) {\n\tif (!value || typeof value !== \"object\") return false;\n\tif (value instanceof type) return true;\n\tif (!Object.prototype.hasOwnProperty.call(type, entityKind)) throw new Error(`Class \"${type.name ?? \"<unknown>\"}\" doesn't look like a Drizzle entity. If this is incorrect and the class is provided by Drizzle, please report this as a bug.`);\n\tlet cls = Object.getPrototypeOf(value)?.constructor;\n\tif (cls) while (cls) {\n\t\tif (entityKind in cls && cls[entityKind] === type[entityKind]) return true;\n\t\tcls = Object.getPrototypeOf(cls);\n\t}\n\treturn false;\n}\n\n//#endregion\nexport { entityKind, hasOwnEntityKind, is };\n//# sourceMappingURL=entity.js.map",
-    "//#region src/column-common.ts\nconst OriginalColumn = Symbol.for(\"drizzle:OriginalColumn\");\n\n//#endregion\nexport { OriginalColumn };\n//# sourceMappingURL=column-common.js.map",
-    "import { entityKind } from \"./entity.js\";\nimport { OriginalColumn } from \"./column-common.js\";\n\n//#region src/column.ts\nconst noop = (v) => v;\nnoop.isNoop = true;\nvar Column = class {\n\tstatic [entityKind] = \"Column\";\n\t/** @internal */\n\tcodec;\n\tname;\n\tkeyAsName;\n\tprimary;\n\tnotNull;\n\tdefault;\n\tdefaultFn;\n\tonUpdateFn;\n\thasDefault;\n\tisUnique;\n\tuniqueName;\n\tuniqueType;\n\tdataType;\n\tcolumnType;\n\tenumValues = void 0;\n\tgenerated = void 0;\n\tgeneratedIdentity = void 0;\n\tlength;\n\tisLengthExact;\n\tisAlias;\n\t/** @internal */\n\tconfig;\n\t/** @internal */\n\ttable;\n\t/** @internal */\n\tonInit() {}\n\tconstructor(table, config) {\n\t\tthis.config = config;\n\t\tthis.onInit();\n\t\tthis.table = table;\n\t\tthis.name = config.name;\n\t\tthis.isAlias = false;\n\t\tthis.keyAsName = config.keyAsName;\n\t\tthis.notNull = config.notNull;\n\t\tthis.default = config.default;\n\t\tthis.defaultFn = config.defaultFn;\n\t\tthis.onUpdateFn = config.onUpdateFn;\n\t\tthis.hasDefault = config.hasDefault;\n\t\tthis.primary = config.primaryKey;\n\t\tthis.isUnique = config.isUnique;\n\t\tthis.uniqueName = config.uniqueName;\n\t\tthis.uniqueType = config.uniqueType;\n\t\tthis.dataType = config.dataType;\n\t\tthis.columnType = config.columnType;\n\t\tthis.generated = config.generated;\n\t\tthis.generatedIdentity = config.generatedIdentity;\n\t\tthis.length = config[\"length\"];\n\t\tthis.isLengthExact = config[\"isLengthExact\"];\n\t}\n\tmapFromDriverValue = noop;\n\tmapToDriverValue = noop;\n\t/** @internal */\n\tpostBuild() {\n\t\treturn this;\n\t}\n\t/** @internal */\n\tshouldDisableInsert() {\n\t\treturn this.config.generated !== void 0 && this.config.generated.type !== \"byDefault\";\n\t}\n\t/** @internal */\n\t[OriginalColumn]() {\n\t\treturn this;\n\t}\n};\nfunction getColumnTable(column) {\n\treturn column.table;\n}\n\n//#endregion\nexport { Column, getColumnTable };\n//# sourceMappingURL=column.js.map",
-    "//#region src/table.utils.ts\n/** @internal */\nconst TableName = Symbol.for(\"drizzle:Name\");\n\n//#endregion\nexport { TableName };\n//# sourceMappingURL=table.utils.js.map",
-    "import { entityKind } from \"./entity.js\";\nimport { TableName } from \"./table.utils.js\";\n\n//#region src/table.ts\n/** @internal */\nconst TableSchema = Symbol.for(\"drizzle:Schema\");\n/** @internal */\nconst TableColumns = Symbol.for(\"drizzle:Columns\");\n/** @internal */\nconst ExtraConfigColumns = Symbol.for(\"drizzle:ExtraConfigColumns\");\n/** @internal */\nconst OriginalName = Symbol.for(\"drizzle:OriginalName\");\n/** @internal */\nconst BaseName = Symbol.for(\"drizzle:BaseName\");\n/** @internal */\nconst IsAlias = Symbol.for(\"drizzle:IsAlias\");\n/** @internal */\nconst ExtraConfigBuilder = Symbol.for(\"drizzle:ExtraConfigBuilder\");\nconst IsDrizzleTable = Symbol.for(\"drizzle:IsDrizzleTable\");\nvar Table = class {\n\tstatic [entityKind] = \"Table\";\n\t/** @internal */\n\tstatic Symbol = {\n\t\tName: TableName,\n\t\tSchema: TableSchema,\n\t\tOriginalName,\n\t\tColumns: TableColumns,\n\t\tExtraConfigColumns,\n\t\tBaseName,\n\t\tIsAlias,\n\t\tExtraConfigBuilder\n\t};\n\t/**\n\t* @internal\n\t* Can be changed if the table is aliased.\n\t*/\n\t[TableName];\n\t/**\n\t* @internal\n\t* Used to store the original name of the table, before any aliasing.\n\t*/\n\t[OriginalName];\n\t/** @internal */\n\t[TableSchema];\n\t/** @internal */\n\t[TableColumns];\n\t/** @internal */\n\t[ExtraConfigColumns];\n\t/**\n\t*  @internal\n\t* Used to store the table name before the transformation via the `tableCreator` functions.\n\t*/\n\t[BaseName];\n\t/** @internal */\n\t[IsAlias] = false;\n\t/** @internal */\n\t[IsDrizzleTable] = true;\n\t/** @internal */\n\t[ExtraConfigBuilder] = void 0;\n\tconstructor(name, schema, baseName) {\n\t\tthis[TableName] = this[OriginalName] = name;\n\t\tthis[TableSchema] = schema;\n\t\tthis[BaseName] = baseName;\n\t}\n};\nfunction isTable(table) {\n\treturn typeof table === \"object\" && table !== null && IsDrizzleTable in table;\n}\nfunction getTableName(table) {\n\treturn table[TableName];\n}\nfunction getTableUniqueName(table) {\n\treturn `${table[TableSchema] ?? \"public\"}.${table[TableName]}`;\n}\n\n//#endregion\nexport { BaseName, ExtraConfigBuilder, ExtraConfigColumns, IsAlias, OriginalName, Table, TableColumns, TableSchema, getTableName, getTableUniqueName, isTable };\n//# sourceMappingURL=table.js.map",
-    "import { entityKind } from \"./entity.js\";\n\n//#region src/subquery.ts\nvar Subquery = class {\n\tstatic [entityKind] = \"Subquery\";\n\tconstructor(sql, fields, alias, isWith = false, usedTables = []) {\n\t\tthis._ = {\n\t\t\tbrand: \"Subquery\",\n\t\t\tsql,\n\t\t\tselectedFields: fields,\n\t\t\talias,\n\t\t\tisWith,\n\t\t\tusedTables\n\t\t};\n\t}\n};\nvar WithSubquery = class extends Subquery {\n\tstatic [entityKind] = \"WithSubquery\";\n};\n\n//#endregion\nexport { Subquery, WithSubquery };\n//# sourceMappingURL=subquery.js.map",
-    "//#region src/tracing-utils.ts\nfunction iife(fn, ...args) {\n\treturn fn(...args);\n}\n\n//#endregion\nexport { iife };\n//# sourceMappingURL=tracing-utils.js.map",
-    "import { iife } from \"./tracing-utils.js\";\nimport { npmVersion } from \"./version.js\";\n\n//#region src/tracing.ts\nconst hasTelemetry = false;\n/** @internal */\nconst tracer = { startActiveSpan(name, fn) {\n\treturn fn();\n} };\n\n//#endregion\nexport { hasTelemetry, tracer };\n//# sourceMappingURL=tracing.js.map",
-    "//#region src/view-common.ts\nconst ViewBaseConfig = Symbol.for(\"drizzle:ViewBaseConfig\");\n\n//#endregion\nexport { ViewBaseConfig };\n//# sourceMappingURL=view-common.js.map",
-    "import { Column } from \"../column.js\";\nimport { IsAlias, OriginalName, Table, TableColumns, TableSchema } from \"../table.js\";\nimport { entityKind, is } from \"../entity.js\";\nimport { Subquery } from \"../subquery.js\";\nimport { TableName } from \"../table.utils.js\";\nimport { tracer } from \"../tracing.js\";\nimport { ViewBaseConfig } from \"../view-common.js\";\n\n//#region src/sql/sql.ts\n/**\n* This class is used to indicate a primitive param value that is used in `sql` tag.\n* It is only used on type level and is never instantiated at runtime.\n* If you see a value of this type in the code, its runtime value is actually the primitive param value.\n*/\nvar FakePrimitiveParam = class {\n\tstatic [entityKind] = \"FakePrimitiveParam\";\n};\nfunction isSQLWrapper(value) {\n\treturn value !== null && value !== void 0 && typeof value.getSQL === \"function\";\n}\nfunction mergeQueries(queries) {\n\tconst result = {\n\t\tsql: \"\",\n\t\tparams: []\n\t};\n\tfor (const query of queries) {\n\t\tresult.sql += query.sql;\n\t\tresult.params.push(...query.params);\n\t}\n\treturn result;\n}\nfunction _mergeQueries(queries) {\n\tconst result = {\n\t\tsql: \"\",\n\t\tparams: []\n\t};\n\tconst sqls = [];\n\tfor (const query of queries) {\n\t\tsqls.push(query.sql);\n\t\tresult.params.push(...query.params);\n\t}\n\tresult._sql = Object.assign(sqls, { raw: sqls });\n\treturn result;\n}\nvar StringChunk = class {\n\tstatic [entityKind] = \"StringChunk\";\n\tvalue;\n\tconstructor(value) {\n\t\tthis.value = Array.isArray(value) ? value : [value];\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\nvar SQL = class SQL {\n\tstatic [entityKind] = \"SQL\";\n\t/** @internal */\n\tdecoder = noopDecoder;\n\t/** @internal */\n\tshouldInlineParams = false;\n\t/** @internal */\n\tusedTables = [];\n\tconstructor(queryChunks) {\n\t\tthis.queryChunks = queryChunks;\n\t\tfor (const chunk of queryChunks) if (is(chunk, Table)) {\n\t\t\tconst schemaName = chunk[Table.Symbol.Schema];\n\t\t\tthis.usedTables.push(schemaName === void 0 ? chunk[Table.Symbol.Name] : schemaName + \".\" + chunk[Table.Symbol.Name]);\n\t\t}\n\t}\n\tappend(query) {\n\t\tthis.queryChunks.push(...query.queryChunks);\n\t\treturn this;\n\t}\n\ttoQuery(config) {\n\t\treturn tracer.startActiveSpan(\"drizzle.buildSQL\", (span) => {\n\t\t\tconst query = this.buildQueryFromSourceParams(this.queryChunks, config);\n\t\t\tspan?.setAttributes({\n\t\t\t\t\"drizzle.query.text\": query.sql,\n\t\t\t\t\"drizzle.query.params\": JSON.stringify(query.params)\n\t\t\t});\n\t\t\treturn query;\n\t\t});\n\t}\n\tbuildQueryFromSourceParams(chunks, _config) {\n\t\tconst config = Object.assign({}, _config, {\n\t\t\tinlineParams: _config.inlineParams || this.shouldInlineParams,\n\t\t\tparamStartIndex: _config.paramStartIndex || { value: 0 }\n\t\t});\n\t\tconst { escapeName, escapeParam, codecs, inlineParams, paramStartIndex, invokeSource } = config;\n\t\tconst mappedChunks = chunks.map((chunk) => {\n\t\t\tif (is(chunk, StringChunk)) return {\n\t\t\t\tsql: chunk.value.join(\"\"),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (is(chunk, Name)) return {\n\t\t\t\tsql: escapeName(chunk.value),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (chunk === void 0) return {\n\t\t\t\tsql: \"\",\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (Array.isArray(chunk)) {\n\t\t\t\tconst result = [new StringChunk(\"(\")];\n\t\t\t\tfor (const [i, p] of chunk.entries()) {\n\t\t\t\t\tresult.push(p);\n\t\t\t\t\tif (i < chunk.length - 1) result.push(new StringChunk(\", \"));\n\t\t\t\t}\n\t\t\t\tresult.push(new StringChunk(\")\"));\n\t\t\t\treturn this.buildQueryFromSourceParams(result, config);\n\t\t\t}\n\t\t\tif (is(chunk, SQL)) return this.buildQueryFromSourceParams(chunk.queryChunks, {\n\t\t\t\t...config,\n\t\t\t\tinlineParams: inlineParams || chunk.shouldInlineParams\n\t\t\t});\n\t\t\tif (is(chunk, Table)) {\n\t\t\t\tconst schemaName = chunk[Table.Symbol.Schema];\n\t\t\t\tconst tableName = chunk[Table.Symbol.Name];\n\t\t\t\tif (invokeSource === \"mssql-view-with-schemabinding\") return {\n\t\t\t\t\tsql: (schemaName === void 0 ? escapeName(\"dbo\") : escapeName(schemaName)) + \".\" + escapeName(tableName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\treturn {\n\t\t\t\t\tsql: schemaName === void 0 || chunk[IsAlias] ? escapeName(tableName) : escapeName(schemaName) + \".\" + escapeName(tableName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, Column)) {\n\t\t\t\tconst columnName = chunk.name;\n\t\t\t\tif (_config.invokeSource === \"indexes\") return {\n\t\t\t\t\tsql: escapeName(columnName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\tconst schemaName = invokeSource === \"mssql-check\" ? void 0 : chunk.table[Table.Symbol.Schema];\n\t\t\t\treturn {\n\t\t\t\t\tsql: chunk.isAlias ? escapeName(chunk.name) : chunk.table[IsAlias] || schemaName === void 0 ? escapeName(chunk.table[Table.Symbol.Name]) + \".\" + escapeName(columnName) : escapeName(schemaName) + \".\" + escapeName(chunk.table[Table.Symbol.Name]) + \".\" + escapeName(columnName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, View)) {\n\t\t\t\tconst schemaName = chunk[ViewBaseConfig].schema;\n\t\t\t\tconst viewName = chunk[ViewBaseConfig].name;\n\t\t\t\treturn {\n\t\t\t\t\tsql: schemaName === void 0 || chunk[ViewBaseConfig].isAlias ? escapeName(viewName) : escapeName(schemaName) + \".\" + escapeName(viewName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, Param)) {\n\t\t\t\tif (is(chunk.value, SQL)) return this.buildQueryFromSourceParams([chunk.value], config);\n\t\t\t\tconst useCodecs = codecs && is(chunk.encoder, Column);\n\t\t\t\tif (is(chunk.value, Placeholder)) {\n\t\t\t\t\tconst escaped = escapeParam(paramStartIndex.value++, chunk);\n\t\t\t\t\tchunk.codec = useCodecs ? (value) => codecs.apply(chunk.encoder, \"normalizeParam\", value) : void 0;\n\t\t\t\t\treturn {\n\t\t\t\t\t\tsql: useCodecs ? codecs.apply(chunk.encoder, \"castParam\", escaped) : escaped,\n\t\t\t\t\t\tparams: [chunk]\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t\tlet mappedValue;\n\t\t\t\tif (chunk.value === null) mappedValue = chunk.value;\n\t\t\t\telse {\n\t\t\t\t\tmappedValue = chunk.encoder.mapToDriverValue.isNoop ? chunk.value : chunk.encoder.mapToDriverValue(chunk.value);\n\t\t\t\t\tif (is(mappedValue, SQL)) return this.buildQueryFromSourceParams([mappedValue], config);\n\t\t\t\t\tif (useCodecs) mappedValue = codecs.apply(chunk.encoder, \"normalizeParam\", mappedValue);\n\t\t\t\t}\n\t\t\t\tif (inlineParams) return {\n\t\t\t\t\tsql: this.mapInlineParam(mappedValue, config),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\tconst escaped = escapeParam(paramStartIndex.value++, mappedValue);\n\t\t\t\treturn {\n\t\t\t\t\tsql: useCodecs ? codecs.apply(chunk.encoder, \"castParam\", escaped) : escaped,\n\t\t\t\t\tparams: [mappedValue]\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (is(chunk, Placeholder)) return {\n\t\t\t\tsql: escapeParam(paramStartIndex.value++, chunk),\n\t\t\t\tparams: [chunk]\n\t\t\t};\n\t\t\tif (is(chunk, SQL.Aliased) && chunk.fieldAlias !== void 0) return {\n\t\t\t\tsql: (chunk.origin !== void 0 ? escapeName(chunk.origin) + \".\" : \"\") + escapeName(chunk.fieldAlias),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\tif (is(chunk, Subquery)) {\n\t\t\t\tif (chunk._.isWith) return {\n\t\t\t\t\tsql: escapeName(chunk._.alias),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\treturn this.buildQueryFromSourceParams([\n\t\t\t\t\tnew StringChunk(\"(\"),\n\t\t\t\t\tchunk._.sql,\n\t\t\t\t\tnew StringChunk(\") \"),\n\t\t\t\t\tnew Name(chunk._.alias)\n\t\t\t\t], config);\n\t\t\t}\n\t\t\tif (typeof chunk === \"function\" && \"enumName\" in chunk) {\n\t\t\t\tif (\"schema\" in chunk && chunk.schema) return {\n\t\t\t\t\tsql: escapeName(chunk.schema) + \".\" + escapeName(chunk.enumName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t\treturn {\n\t\t\t\t\tsql: escapeName(chunk.enumName),\n\t\t\t\t\tparams: []\n\t\t\t\t};\n\t\t\t}\n\t\t\tif (isSQLWrapper(chunk)) {\n\t\t\t\tif (chunk.shouldOmitSQLParens?.()) return this.buildQueryFromSourceParams([chunk.getSQL()], config);\n\t\t\t\treturn this.buildQueryFromSourceParams([\n\t\t\t\t\tnew StringChunk(\"(\"),\n\t\t\t\t\tchunk.getSQL(),\n\t\t\t\t\tnew StringChunk(\")\")\n\t\t\t\t], config);\n\t\t\t}\n\t\t\tif (inlineParams) return {\n\t\t\t\tsql: this.mapInlineParam(chunk, config),\n\t\t\t\tparams: []\n\t\t\t};\n\t\t\treturn {\n\t\t\t\tsql: escapeParam(paramStartIndex.value++, chunk),\n\t\t\t\tparams: [chunk]\n\t\t\t};\n\t\t});\n\t\tif (_config.tagged) return _mergeQueries(mappedChunks);\n\t\treturn mergeQueries(mappedChunks);\n\t}\n\tmapInlineParam(chunk, { escapeString }) {\n\t\tif (chunk === null) return \"null\";\n\t\tif (typeof chunk === \"number\" || typeof chunk === \"boolean\" || typeof chunk === \"bigint\") return chunk.toString();\n\t\tif (typeof chunk === \"string\") return escapeString(chunk);\n\t\tif (typeof chunk === \"object\") {\n\t\t\tconst mappedValueAsString = chunk.toString();\n\t\t\tif (mappedValueAsString === \"[object Object]\") return escapeString(JSON.stringify(chunk));\n\t\t\treturn escapeString(mappedValueAsString);\n\t\t}\n\t\tthrow new Error(\"Unexpected param value: \" + chunk);\n\t}\n\tgetSQL() {\n\t\treturn this;\n\t}\n\tas(alias) {\n\t\tif (alias === void 0) return this;\n\t\treturn new SQL.Aliased(this, alias);\n\t}\n\tmapWith(decoder) {\n\t\tthis.decoder = typeof decoder === \"function\" ? { mapFromDriverValue: decoder } : decoder;\n\t\treturn this;\n\t}\n\tinlineParams() {\n\t\tthis.shouldInlineParams = true;\n\t\treturn this;\n\t}\n\t/**\n\t* This method is used to conditionally include a part of the query.\n\t*\n\t* @param condition - Condition to check\n\t* @returns itself if the condition is `true`, otherwise `undefined`\n\t*/\n\tif(condition) {\n\t\treturn condition ? this : void 0;\n\t}\n};\n/**\n* Any DB name (table, column, index etc.)\n*/\nvar Name = class {\n\tstatic [entityKind] = \"Name\";\n\tbrand;\n\tconstructor(value) {\n\t\tthis.value = value;\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\n/**\n* Any DB name (table, column, index etc.)\n* @deprecated Use `sql.identifier` instead.\n*/\nfunction name(value) {\n\treturn new Name(value);\n}\nfunction isDriverValueEncoder(value) {\n\treturn typeof value === \"object\" && value !== null && \"mapToDriverValue\" in value && typeof value.mapToDriverValue === \"function\";\n}\nconst noopDecoder = { mapFromDriverValue: (value) => value };\nnoopDecoder.mapFromDriverValue.isNoop = true;\nconst noopEncoder = { mapToDriverValue: (value) => value };\nnoopEncoder.mapToDriverValue.isNoop = true;\nfunction isNoop(mapper) {\n\treturn mapper.isNoop;\n}\nconst noopMapper = {\n\t...noopDecoder,\n\t...noopEncoder\n};\n/** Parameter value that is optionally bound to an encoder (for example, a column). */\nvar Param = class {\n\tstatic [entityKind] = \"Param\";\n\tbrand;\n\t/**\n\t* @param value - Parameter value\n\t* @param encoder - Encoder to convert the value to a driver parameter\n\t*/\n\tconstructor(value, encoder = noopEncoder, codec) {\n\t\tthis.value = value;\n\t\tthis.encoder = encoder;\n\t\tthis.codec = codec;\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\n/** @deprecated Use `sql.param` instead. */\nfunction param(value, encoder) {\n\treturn new Param(value, encoder);\n}\nfunction sql(strings, ...params) {\n\tconst queryChunks = [];\n\tif (params.length > 0 || strings.length > 0 && strings[0] !== \"\") queryChunks.push(new StringChunk(strings[0]));\n\tfor (const [paramIndex, param] of params.entries()) queryChunks.push(param, new StringChunk(strings[paramIndex + 1]));\n\treturn new SQL(queryChunks);\n}\n(function(_sql) {\n\tfunction empty() {\n\t\treturn new SQL([]);\n\t}\n\t_sql.empty = empty;\n\tfunction fromList(list) {\n\t\treturn new SQL(list);\n\t}\n\t_sql.fromList = fromList;\n\tfunction raw(str) {\n\t\treturn new SQL([new StringChunk(str)]);\n\t}\n\t_sql.raw = raw;\n\tfunction join(chunks, separator) {\n\t\tconst result = [];\n\t\tfor (const [i, chunk] of chunks.entries()) {\n\t\t\tif (i > 0 && separator !== void 0) result.push(separator);\n\t\t\tresult.push(chunk);\n\t\t}\n\t\treturn new SQL(result);\n\t}\n\t_sql.join = join;\n\tfunction identifier(value) {\n\t\treturn new Name(value);\n\t}\n\t_sql.identifier = identifier;\n\tfunction placeholder(name) {\n\t\treturn new Placeholder(name);\n\t}\n\t_sql.placeholder = placeholder;\n\tfunction param(value, encoder) {\n\t\treturn new Param(value, encoder);\n\t}\n\t_sql.param = param;\n\tfunction comment(input) {\n\t\tconst encoded = sqlCommenter(input);\n\t\tif (!encoded.length) return void 0;\n\t\treturn sql.raw(encoded);\n\t}\n\t_sql.comment = comment;\n})(sql || (sql = {}));\nfunction sqlCommenter(input) {\n\tconst encoded = sqlCommenter.encodeInput(input);\n\tif (!encoded.length) return \"\";\n\treturn `/*${encoded}*/`;\n}\n(function(_sqlCommenter) {\n\tfunction merge(input1, input2) {\n\t\tlet encoded;\n\t\tif (typeof input1 === \"object\" && typeof input2 === \"object\") encoded = encodeInput({\n\t\t\t...input1,\n\t\t\t...input2\n\t\t});\n\t\telse if (input1 && input2) encoded = [encodeInput(input1), encodeInput(input2)].filter((i) => i.length).join(\",\");\n\t\telse if (input2) encoded = encodeInput(input2);\n\t\telse if (input1) encoded = encodeInput(input1);\n\t\telse return \"\";\n\t\tif (!encoded.length) return \"\";\n\t\treturn `/*${encoded}*/`;\n\t}\n\t_sqlCommenter.merge = merge;\n\tfunction encodeInput(input) {\n\t\tif (typeof input === \"string\") {\n\t\t\tif (!input.length) return input;\n\t\t\treturn sanitizeStringInput(input);\n\t\t}\n\t\tconst parts = [];\n\t\tfor (const [key, value] of Object.entries(input)) {\n\t\t\tif (value === null || value === void 0 || value === \"\") continue;\n\t\t\tconst encodedKey = sanitizeObjectElement(key);\n\t\t\tconst encodedValue = sanitizeObjectElement(String(value));\n\t\t\tparts.push(`${encodedKey}='${encodedValue}'`);\n\t\t}\n\t\tif (!parts.length) return \"\";\n\t\treturn parts.sort().join(\",\");\n\t}\n\t_sqlCommenter.encodeInput = encodeInput;\n\tfunction sanitizeObjectElement(key) {\n\t\treturn encodeURIComponent(key).replace(/'/g, `\\\\'`);\n\t}\n\t_sqlCommenter.sanitizeObjectElement = sanitizeObjectElement;\n\tfunction sanitizeStringInput(input) {\n\t\treturn input.replace(/\\/\\*/g, \"/ *\").replace(/\\*\\//g, \"* /\");\n\t}\n\t_sqlCommenter.sanitizeStringInput = sanitizeStringInput;\n})(sqlCommenter || (sqlCommenter = {}));\n(function(_SQL) {\n\tclass Aliased {\n\t\tstatic [entityKind] = \"SQL.Aliased\";\n\t\t/** @internal */\n\t\tisSelectionField = false;\n\t\t/** @internal */\n\t\torigin;\n\t\tconstructor(sql, fieldAlias) {\n\t\t\tthis.sql = sql;\n\t\t\tthis.fieldAlias = fieldAlias;\n\t\t}\n\t\tgetSQL() {\n\t\t\treturn this.sql;\n\t\t}\n\t\t/** @internal */\n\t\tclone() {\n\t\t\treturn new Aliased(this.sql, this.fieldAlias);\n\t\t}\n\t}\n\t_SQL.Aliased = Aliased;\n})(SQL || (SQL = {}));\nvar Placeholder = class {\n\tstatic [entityKind] = \"Placeholder\";\n\tconstructor(name) {\n\t\tthis.name = name;\n\t}\n\tgetSQL() {\n\t\treturn new SQL([this]);\n\t}\n};\n/** @deprecated Use `sql.placeholder` instead. */\nfunction placeholder(name) {\n\treturn new Placeholder(name);\n}\nfunction fillPlaceholders(params, values) {\n\treturn params.map((p) => {\n\t\tif (is(p, Placeholder)) {\n\t\t\tif (!(p.name in values)) throw new Error(`No value for placeholder \"${p.name}\" was provided`);\n\t\t\treturn values[p.name];\n\t\t}\n\t\tif (is(p, Param) && is(p.value, Placeholder)) {\n\t\t\tif (!(p.value.name in values)) throw new Error(`No value for placeholder \"${p.value.name}\" was provided`);\n\t\t\tif (values[p.value.name] === null) return values[p.value.name];\n\t\t\tconst mapped = p.encoder.mapToDriverValue.isNoop ? values[p.value.name] : p.encoder.mapToDriverValue(values[p.value.name]);\n\t\t\treturn p.codec ? p.codec(mapped) : mapped;\n\t\t}\n\t\treturn p;\n\t});\n}\nconst IsDrizzleView = Symbol.for(\"drizzle:IsDrizzleView\");\nvar View = class {\n\tstatic [entityKind] = \"View\";\n\t/** @internal */\n\t[ViewBaseConfig];\n\t/** @internal */\n\t[IsDrizzleView] = true;\n\t/** @internal */\n\tget [TableName]() {\n\t\treturn this[ViewBaseConfig].name;\n\t}\n\t/** @internal */\n\tget [TableSchema]() {\n\t\treturn this[ViewBaseConfig].schema;\n\t}\n\t/** @internal */\n\tget [IsAlias]() {\n\t\treturn this[ViewBaseConfig].isAlias;\n\t}\n\t/** @internal */\n\tget [OriginalName]() {\n\t\treturn this[ViewBaseConfig].originalName;\n\t}\n\t/** @internal */\n\tget [TableColumns]() {\n\t\treturn this[ViewBaseConfig].selectedFields;\n\t}\n\tconstructor({ name, schema, selectedFields, query }) {\n\t\tthis[ViewBaseConfig] = {\n\t\t\tname,\n\t\t\toriginalName: name,\n\t\t\tschema,\n\t\t\tselectedFields,\n\t\t\tquery,\n\t\t\tisExisting: !query,\n\t\t\tisAlias: false\n\t\t};\n\t}\n};\nfunction isView(view) {\n\treturn typeof view === \"object\" && view !== null && IsDrizzleView in view;\n}\nfunction getViewName(view) {\n\treturn view[ViewBaseConfig].name;\n}\nColumn.prototype.getSQL = function() {\n\treturn new SQL([this]);\n};\nSubquery.prototype.getSQL = function() {\n\treturn new SQL([this]);\n};\n\n//#endregion\nexport { FakePrimitiveParam, Name, Param, Placeholder, SQL, StringChunk, View, fillPlaceholders, getViewName, isDriverValueEncoder, isNoop, isSQLWrapper, isView, name, noopDecoder, noopEncoder, noopMapper, param, placeholder, sql, sqlCommenter };\n//# sourceMappingURL=sql.js.map",
-    "import { Param, Placeholder, SQL, StringChunk, View, isDriverValueEncoder, isSQLWrapper, sql } from \"../sql.js\";\nimport { is } from \"../../entity.js\";\nimport { Table } from \"../../table.js\";\nimport { Column } from \"../../column.js\";\n\n//#region src/sql/expressions/conditions.ts\nfunction bindIfParam(value, column) {\n\tif (isDriverValueEncoder(column) && !isSQLWrapper(value) && !is(value, Param) && !is(value, Placeholder) && !is(value, Column) && !is(value, Table) && !is(value, View)) return new Param(value, column);\n\treturn value;\n}\n/**\n* Test that two values are equal.\n*\n* Remember that the SQL standard dictates that\n* two NULL values are not equal, so if you want to test\n* whether a value is null, you may want to use\n* `isNull` instead.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made by Ford\n* db.select().from(cars)\n*   .where(eq(cars.make, 'Ford'))\n* ```\n*\n* @see isNull for a way to test equality to NULL.\n*/\nconst eq = (left, right) => {\n\treturn sql`${left} = ${bindIfParam(right, left)}`;\n};\n/**\n* Test that two values are not equal.\n*\n* Remember that the SQL standard dictates that\n* two NULL values are not equal, so if you want to test\n* whether a value is not null, you may want to use\n* `isNotNull` instead.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars not made by Ford\n* db.select().from(cars)\n*   .where(ne(cars.make, 'Ford'))\n* ```\n*\n* @see isNotNull for a way to test whether a value is not null.\n*/\nconst ne = (left, right) => {\n\treturn sql`${left} <> ${bindIfParam(right, left)}`;\n};\nfunction and(...unfilteredConditions) {\n\tconst conditions = unfilteredConditions.filter((c) => c !== void 0);\n\tif (conditions.length === 0) return;\n\tif (conditions.length === 1) return new SQL(conditions);\n\treturn new SQL([\n\t\tnew StringChunk(\"(\"),\n\t\tsql.join(conditions.map((c) => sql`(${c})`), new StringChunk(\" and \")),\n\t\tnew StringChunk(\")\")\n\t]);\n}\nfunction or(...unfilteredConditions) {\n\tconst conditions = unfilteredConditions.filter((c) => c !== void 0);\n\tif (conditions.length === 0) return;\n\tif (conditions.length === 1) return new SQL(conditions);\n\treturn new SQL([\n\t\tnew StringChunk(\"(\"),\n\t\tsql.join(conditions.map((c) => sql`(${c})`), new StringChunk(\" or \")),\n\t\tnew StringChunk(\")\")\n\t]);\n}\n/**\n* Negate the meaning of an expression using the `not` keyword.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars _not_ made by GM or Ford.\n* db.select().from(cars)\n*   .where(not(inArray(cars.make, ['GM', 'Ford'])))\n* ```\n*/\nfunction not(condition) {\n\treturn is(condition, SQL) ? sql`not (${condition})` : sql`not ${condition}`;\n}\n/**\n* Test that the first expression passed is greater than\n* the second expression.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made after 2000.\n* db.select().from(cars)\n*   .where(gt(cars.year, 2000))\n* ```\n*\n* @see gte for greater-than-or-equal\n*/\nconst gt = (left, right) => {\n\treturn sql`${left} > ${bindIfParam(right, left)}`;\n};\n/**\n* Test that the first expression passed is greater than\n* or equal to the second expression. Use `gt` to\n* test whether an expression is strictly greater\n* than another.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made on or after 2000.\n* db.select().from(cars)\n*   .where(gte(cars.year, 2000))\n* ```\n*\n* @see gt for a strictly greater-than condition\n*/\nconst gte = (left, right) => {\n\treturn sql`${left} >= ${bindIfParam(right, left)}`;\n};\n/**\n* Test that the first expression passed is less than\n* the second expression.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made before 2000.\n* db.select().from(cars)\n*   .where(lt(cars.year, 2000))\n* ```\n*\n* @see lte for less-than-or-equal\n*/\nconst lt = (left, right) => {\n\treturn sql`${left} < ${bindIfParam(right, left)}`;\n};\n/**\n* Test that the first expression passed is less than\n* or equal to the second expression.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars made before 2000.\n* db.select().from(cars)\n*   .where(lte(cars.year, 2000))\n* ```\n*\n* @see lt for a strictly less-than condition\n*/\nconst lte = (left, right) => {\n\treturn sql`${left} <= ${bindIfParam(right, left)}`;\n};\nfunction inArray(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) return sql`false`;\n\t\treturn sql`${column} in ${values.map((v) => bindIfParam(v, column))}`;\n\t}\n\treturn sql`${column} in ${bindIfParam(values, column)}`;\n}\nfunction notInArray(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) return sql`true`;\n\t\treturn sql`${column} not in ${values.map((v) => bindIfParam(v, column))}`;\n\t}\n\treturn sql`${column} not in ${bindIfParam(values, column)}`;\n}\n/**\n* Test whether an expression is NULL. By the SQL standard,\n* NULL is neither equal nor not equal to itself, so\n* it's recommended to use `isNull` and `notIsNull` for\n* comparisons to NULL.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars that have no discontinuedAt date.\n* db.select().from(cars)\n*   .where(isNull(cars.discontinuedAt))\n* ```\n*\n* @see isNotNull for the inverse of this test\n*/\nfunction isNull(value) {\n\treturn sql`(${value} is null)`;\n}\n/**\n* Test whether an expression is not NULL. By the SQL standard,\n* NULL is neither equal nor not equal to itself, so\n* it's recommended to use `isNull` and `notIsNull` for\n* comparisons to NULL.\n*\n* ## Examples\n*\n* ```ts\n* // Select cars that have been discontinued.\n* db.select().from(cars)\n*   .where(isNotNull(cars.discontinuedAt))\n* ```\n*\n* @see isNull for the inverse of this test\n*/\nfunction isNotNull(value) {\n\treturn sql`(${value} is not null)`;\n}\n/**\n* Test whether a subquery evaluates to have any rows.\n*\n* ## Examples\n*\n* ```ts\n* // Users whose `homeCity` column has a match in a cities\n* // table.\n* db\n*   .select()\n*   .from(users)\n*   .where(\n*     exists(db.select()\n*       .from(cities)\n*       .where(eq(users.homeCity, cities.id))),\n*   );\n* ```\n*\n* @see notExists for the inverse of this test\n*/\nfunction exists(subquery) {\n\treturn sql`exists ${subquery}`;\n}\n/**\n* Test whether a subquery doesn't include any result\n* rows.\n*\n* ## Examples\n*\n* ```ts\n* // Users whose `homeCity` column doesn't match\n* // a row in the cities table.\n* db\n*   .select()\n*   .from(users)\n*   .where(\n*     notExists(db.select()\n*       .from(cities)\n*       .where(eq(users.homeCity, cities.id))),\n*   );\n* ```\n*\n* @see exists for the inverse of this test\n*/\nfunction notExists(subquery) {\n\treturn sql`not exists ${subquery}`;\n}\nfunction between(column, min, max) {\n\treturn sql`${column} between ${bindIfParam(min, column)} and ${bindIfParam(max, column)}`;\n}\nfunction notBetween(column, min, max) {\n\treturn sql`${column} not between ${bindIfParam(min, column)} and ${bindIfParam(max, column)}`;\n}\n/**\n* Compare a column to a pattern, which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars with 'Turbo' in their names.\n* db.select().from(cars)\n*   .where(like(cars.name, '%Turbo%'))\n* ```\n*\n* @see ilike for a case-insensitive version of this condition\n*/\nfunction like(column, value) {\n\treturn sql`${column} like ${value}`;\n}\n/**\n* The inverse of like - this tests that a given column\n* does not match a pattern, which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars that don't have \"ROver\" in their name.\n* db.select().from(cars)\n*   .where(notLike(cars.name, '%Rover%'))\n* ```\n*\n* @see like for the inverse condition\n* @see notIlike for a case-insensitive version of this condition\n*/\nfunction notLike(column, value) {\n\treturn sql`${column} not like ${value}`;\n}\n/**\n* Case-insensitively compare a column to a pattern,\n* which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* Unlike like, this performs a case-insensitive comparison.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars with 'Turbo' in their names.\n* db.select().from(cars)\n*   .where(ilike(cars.name, '%Turbo%'))\n* ```\n*\n* @see like for a case-sensitive version of this condition\n*/\nfunction ilike(column, value) {\n\treturn sql`${column} ilike ${value}`;\n}\n/**\n* The inverse of ilike - this case-insensitively tests that a given column\n* does not match a pattern, which can include `%` and `_`\n* characters to match multiple variations. Including `%`\n* in the pattern matches zero or more characters, and including\n* `_` will match a single character.\n*\n* ## Examples\n*\n* ```ts\n* // Select all cars that don't have \"Rover\" in their name.\n* db.select().from(cars)\n*   .where(notLike(cars.name, '%Rover%'))\n* ```\n*\n* @see ilike for the inverse condition\n* @see notLike for a case-sensitive version of this condition\n*/\nfunction notIlike(column, value) {\n\treturn sql`${column} not ilike ${value}`;\n}\nfunction arrayContains(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) throw new Error(\"arrayContains requires at least one value\");\n\t\tconst par = bindIfParam(values, column);\n\t\treturn sql`${column} @> ${sql`${Array.isArray(par) ? new Param(par) : par}`}`;\n\t}\n\treturn sql`${column} @> ${bindIfParam(values, column)}`;\n}\nfunction arrayContained(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) throw new Error(\"arrayContained requires at least one value\");\n\t\tconst par = bindIfParam(values, column);\n\t\treturn sql`${column} <@ ${sql`${Array.isArray(par) ? new Param(par) : par}`}`;\n\t}\n\treturn sql`${column} <@ ${bindIfParam(values, column)}`;\n}\nfunction arrayOverlaps(column, values) {\n\tif (Array.isArray(values)) {\n\t\tif (values.length === 0) throw new Error(\"arrayOverlaps requires at least one value\");\n\t\tconst par = bindIfParam(values, column);\n\t\treturn sql`${column} && ${sql`${Array.isArray(par) ? new Param(par) : par}`}`;\n\t}\n\treturn sql`${column} && ${bindIfParam(values, column)}`;\n}\n\n//#endregion\nexport { and, arrayContained, arrayContains, arrayOverlaps, between, bindIfParam, eq, exists, gt, gte, ilike, inArray, isNotNull, isNull, like, lt, lte, ne, not, notBetween, notExists, notIlike, notInArray, notLike, or };\n//# sourceMappingURL=conditions.js.map",
-    "import { sql } from \"../sql.js\";\n\n//#region src/sql/expressions/select.ts\n/**\n* Used in sorting, this specifies that the given\n* column or expression should be sorted in ascending\n* order. By the SQL standard, ascending order is the\n* default, so it is not usually necessary to specify\n* ascending sort order.\n*\n* ## Examples\n*\n* ```ts\n* // Return cars, starting with the oldest models\n* // and going in ascending order to the newest.\n* db.select().from(cars)\n*   .orderBy(asc(cars.year));\n* ```\n*\n* @see desc to sort in descending order\n*/\nfunction asc(column) {\n\treturn sql`${column} asc`;\n}\n/**\n* Used in sorting, this specifies that the given\n* column or expression should be sorted in descending\n* order.\n*\n* ## Examples\n*\n* ```ts\n* // Select users, with the most recently created\n* // records coming first.\n* db.select().from(users)\n*   .orderBy(desc(users.createdAt));\n* ```\n*\n* @see asc to sort in ascending order\n*/\nfunction desc(column) {\n\treturn sql`${column} desc`;\n}\n\n//#endregion\nexport { asc, desc };\n//# sourceMappingURL=select.js.map"
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-  "debugId": "59545B8F74390DC964756E2164756E21",
-  "names": []
-}

bin/chunk-ckhhv561.js.map

-{
-  "version": 3,
-  "sources": ["../core/src/image/photon-wasm.bun.ts", "../core/src/image/photon.ts"],
-  "sourcesContent": [
-    "// @ts-ignore Bun embeds static file imports when compiling the CLI.\nimport photonWasm from \"@silvia-odwyer/photon-node/photon_rs_bg.wasm\" with { type: \"file\" }\n\nexport default photonWasm\n",
-    "import photonWasm from \"#photon-wasm\"\nimport { Effect } from \"effect\"\nimport path from \"node:path\"\nimport { fileURLToPath } from \"node:url\"\nimport { FileSystem } from \"../filesystem\"\nimport { DecodeError, ResizerUnavailableError, SizeError } from \"../image\"\n\nconst JPEG_QUALITIES = [80, 85, 70, 55, 40]\n\nexport const make = Effect.gen(function* () {\n  ;(globalThis as typeof globalThis & { __OPENCODE_PHOTON_WASM_PATH?: string }).__OPENCODE_PHOTON_WASM_PATH =\n    path.isAbsolute(photonWasm) ? photonWasm : fileURLToPath(new URL(photonWasm, import.meta.url))\n  const loadPhoton = yield* Effect.cached(\n    Effect.tryPromise({\n      try: () => import(\"@silvia-odwyer/photon-node\"),\n      catch: () => new ResizerUnavailableError(),\n    }),\n  )\n  return Effect.fn(\"Image.Photon.normalize\")(function* (\n    resource: string,\n    content: FileSystem.Content & { readonly encoding: \"base64\" },\n    limits: {\n      readonly autoResize: boolean\n      readonly maxWidth: number\n      readonly maxHeight: number\n      readonly maxBase64Bytes: number\n    },\n  ) {\n    const photon = yield* loadPhoton\n    const decoded = yield* Effect.try({\n      try: () => photon.PhotonImage.new_from_byteslice(Buffer.from(content.content, \"base64\")),\n      catch: () => new DecodeError({ resource }),\n    })\n    try {\n      const width = decoded.get_width()\n      const height = decoded.get_height()\n      const bytes = Buffer.byteLength(content.content, \"utf-8\")\n      if (width <= limits.maxWidth && height <= limits.maxHeight && bytes <= limits.maxBase64Bytes) return content\n      if (!limits.autoResize)\n        return yield* new SizeError({\n          resource,\n          width,\n          height,\n          bytes,\n          maxWidth: limits.maxWidth,\n          maxHeight: limits.maxHeight,\n          maxBytes: limits.maxBase64Bytes,\n        })\n      const scale = Math.min(1, limits.maxWidth / width, limits.maxHeight / height)\n      const sizes = Array.from({ length: 32 }).reduce<Array<{ width: number; height: number }>>((acc) => {\n        const previous = acc.at(-1) ?? {\n          width: Math.max(1, Math.round(width * scale)),\n          height: Math.max(1, Math.round(height * scale)),\n        }\n        const next =\n          acc.length === 0\n            ? previous\n            : {\n                width: previous.width === 1 ? 1 : Math.max(1, Math.floor(previous.width * 0.75)),\n                height: previous.height === 1 ? 1 : Math.max(1, Math.floor(previous.height * 0.75)),\n              }\n        return acc.some((item) => item.width === next.width && item.height === next.height) ? acc : [...acc, next]\n      }, [])\n      for (const size of sizes) {\n        const resized = photon.resize(decoded, size.width, size.height, photon.SamplingFilter.Lanczos3)\n        try {\n          const encoders: Array<readonly [mime: string, encode: () => Uint8Array]> = [\n            [\"image/png\", () => resized.get_bytes()],\n            ...JPEG_QUALITIES.map((quality) => [\"image/jpeg\", () => resized.get_bytes_jpeg(quality)] as const),\n          ]\n          for (const [mime, encode] of encoders) {\n            const candidate = Buffer.from(encode()).toString(\"base64\")\n            if (Buffer.byteLength(candidate, \"utf-8\") <= limits.maxBase64Bytes)\n              return { ...content, content: candidate, encoding: \"base64\" as const, mime }\n          }\n        } finally {\n          resized.free()\n        }\n      }\n      return yield* new SizeError({\n        resource,\n        width,\n        height,\n        bytes,\n        maxWidth: limits.maxWidth,\n        maxHeight: limits.maxHeight,\n        maxBytes: limits.maxBase64Bytes,\n      })\n    } finally {\n      decoded.free()\n    }\n  })\n})\n"
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-}

bin/chunk-cpxhkhfz.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/bedrock-event-stream.ts", "../ai/src/protocols/utils/bedrock-auth.ts", "../ai/src/protocols/utils/bedrock-cache.ts", "../ai/src/protocols/utils/bedrock-media.ts", "../ai/src/protocols/bedrock-converse.ts", "../ai/src/providers/amazon-bedrock.ts"],
-  "sourcesContent": [
-    "import { EventStreamCodec } from \"@smithy/eventstream-codec\"\nimport { fromUtf8, toUtf8 } from \"@smithy/util-utf8\"\nimport { Effect, Stream } from \"effect\"\nimport { Framing } from \"../route/framing\"\nimport { ProviderShared } from \"./shared\"\n\n// Bedrock streams responses using the AWS event stream binary protocol — each\n// frame is `[length:4][headers-length:4][prelude-crc:4][headers][payload][crc:4]`.\n// We use `@smithy/eventstream-codec` to validate framing and CRCs, then\n// reconstruct the JSON wrapping by `:event-type` so the chunk schema can match.\nconst eventCodec = new EventStreamCodec(toUtf8, fromUtf8)\nconst utf8 = new TextDecoder()\n\n// Cursor-tracking buffer state. Bytes accumulate in `buffer`; `offset` is the\n// read position. Reading by `subarray` is zero-copy. We only allocate a fresh\n// buffer when a new network chunk arrives and we need to append.\ninterface FrameBufferState {\n  readonly buffer: Uint8Array\n  readonly offset: number\n}\n\nconst initialFrameBuffer: FrameBufferState = { buffer: new Uint8Array(0), offset: 0 }\n\nconst appendChunk = (state: FrameBufferState, chunk: Uint8Array): FrameBufferState => {\n  const remaining = state.buffer.length - state.offset\n  // Compact: drop the consumed prefix and append the new chunk in one alloc.\n  // This bounds buffer growth to at most one network chunk past the live\n  // window, regardless of stream length.\n  const next = new Uint8Array(remaining + chunk.length)\n  next.set(state.buffer.subarray(state.offset), 0)\n  next.set(chunk, remaining)\n  return { buffer: next, offset: 0 }\n}\n\nconst consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8Array) =>\n  Effect.gen(function* () {\n    let cursor = appendChunk(state, chunk)\n    const out: object[] = []\n    while (cursor.buffer.length - cursor.offset >= 4) {\n      const view = cursor.buffer.subarray(cursor.offset)\n      const totalLength = new DataView(view.buffer, view.byteOffset, view.byteLength).getUint32(0, false)\n      if (view.length < totalLength) break\n\n      const decoded = yield* Effect.try({\n        try: () => eventCodec.decode(view.subarray(0, totalLength)),\n        catch: (error) =>\n          ProviderShared.eventError(\n            route,\n            `Failed to decode Bedrock Converse event-stream frame: ${\n              error instanceof Error ? error.message : String(error)\n            }`,\n          ),\n      })\n      cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }\n\n      const messageType = decoded.headers[\":message-type\"]?.value\n      if (messageType === \"error\") {\n        const code = decoded.headers[\":error-code\"]?.value\n        const message = decoded.headers[\":error-message\"]?.value\n        return yield* ProviderShared.eventError(\n          route,\n          [code, message].filter((value): value is string => typeof value === \"string\").join(\": \") ||\n            \"Bedrock Converse event-stream error\",\n        )\n      }\n      const eventType =\n        messageType === \"event\"\n          ? decoded.headers[\":event-type\"]?.value\n          : messageType === \"exception\"\n            ? decoded.headers[\":exception-type\"]?.value\n            : undefined\n      if (typeof eventType !== \"string\") continue\n      const payload = utf8.decode(decoded.body)\n      if (!payload) continue\n      // The AWS event stream pads short payloads with a `p` field. Drop it\n      // before handing the object to the chunk schema. JSON decode goes\n      // through the shared Schema-driven codec to satisfy the package rule\n      // against ad-hoc `JSON.parse` calls.\n      const parsed = (yield* ProviderShared.parseJson(\n        route,\n        payload,\n        \"Failed to parse Bedrock Converse event-stream payload\",\n      )) as Record<string, unknown>\n      delete parsed.p\n      out.push({ [eventType]: parsed })\n    }\n    return [cursor, out] as const\n  })\n\n/**\n * AWS event-stream framing for Bedrock Converse. Each frame is decoded by\n * `@smithy/eventstream-codec` (length + header + payload + CRC) and rewrapped\n * under its `:event-type` header so the chunk schema can match the JSON\n * payload directly.\n */\nexport const framing = (route: string): Framing.Definition<object> => ({\n  id: \"aws-event-stream\",\n  frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),\n})\n\nexport * as BedrockEventStream from \"./bedrock-event-stream\"\n",
-    "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth\"\nimport { ProviderShared } from \"../shared\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n  readonly region: string\n  readonly accessKeyId: string\n  readonly secretAccessKey: string\n  readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n  readonly url: string\n  readonly body: string\n  readonly headers: Headers.Headers\n  readonly credentials: Credentials\n}) =>\n  Effect.tryPromise({\n    try: async () => {\n      const signed = await new AwsV4Signer({\n        url: input.url,\n        method: \"POST\",\n        headers: Object.entries(input.headers),\n        body: input.body,\n        region: input.credentials.region,\n        accessKeyId: input.credentials.accessKeyId,\n        secretAccessKey: input.credentials.secretAccessKey,\n        sessionToken: input.credentials.sessionToken,\n        service: \"bedrock\",\n      }).sign()\n      return Object.fromEntries(signed.headers.entries())\n    },\n    catch: (error) =>\n      ProviderShared.invalidRequest(\n        `Bedrock Converse SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n      ),\n  })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (credentials: Credentials | undefined) =>\n  Auth.custom((input: AuthInput) => {\n    return Effect.gen(function* () {\n      if (!credentials) {\n        return yield* ProviderShared.invalidRequest(\n          \"Bedrock Converse requires either route bearer auth or AWS credentials configured on the route\",\n        )\n      }\n      const headersForSigning = Headers.set(input.headers, \"content-type\", \"application/json\")\n      const signed = yield* signRequest({\n        url: input.url,\n        body: input.body,\n        headers: headersForSigning,\n        credentials,\n      })\n      return Headers.setAll(headersForSigning, signed)\n    })\n  })\n\n/** Bedrock route auth defaults to SigV4 and expects credentials from route configuration. */\nexport const auth = sigV4(undefined)\n\nexport * as BedrockAuth from \"./bedrock-auth\"\n",
-    "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache\"\n\n// Bedrock cache markers are positional: emit a `cachePoint` block immediately\n// after the content the caller wants treated as a cacheable prefix. Bedrock\n// accepts optional `ttl: \"5m\" | \"1h\"` on cachePoint, mirroring Anthropic.\nexport const CachePointBlock = Schema.Struct({\n  cachePoint: Schema.Struct({\n    type: Schema.tag(\"default\"),\n    ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n  }),\n})\nexport type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>\n\n// Bedrock-Claude enforces the same 4-breakpoint cap as the Anthropic Messages\n// API. Callers pass a shared counter through every `block()` call site so the\n// budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache\"\nexport const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)\n\nconst DEFAULT_5M: CachePointBlock = { cachePoint: { type: \"default\" } }\nconst DEFAULT_1H: CachePointBlock = { cachePoint: { type: \"default\", ttl: \"1h\" } }\n\nexport const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {\n  if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n  if (breakpoints.remaining <= 0) {\n    breakpoints.dropped += 1\n    return undefined\n  }\n  breakpoints.remaining -= 1\n  return ttlBucket(cache.ttlSeconds) === \"1h\" ? DEFAULT_1H : DEFAULT_5M\n}\n\nexport * as BedrockCache from \"./bedrock-cache\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema\"\nimport { ProviderShared } from \"../shared\"\n\n// Bedrock Converse accepts image `format` as the file extension and\n// `source.bytes` as base64 in the JSON wire format.\nexport const ImageFormat = Schema.Literals([\"png\", \"jpeg\", \"gif\", \"webp\"])\nexport type ImageFormat = Schema.Schema.Type<typeof ImageFormat>\n\nexport const ImageBlock = Schema.Struct({\n  image: Schema.Struct({\n    format: ImageFormat,\n    source: Schema.Struct({ bytes: Schema.String }),\n  }),\n})\nexport type ImageBlock = Schema.Schema.Type<typeof ImageBlock>\n\n// Bedrock document blocks require a user-facing name so the model can refer to\n// the uploaded document.\nexport const DocumentFormat = Schema.Literals([\"pdf\", \"csv\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"html\", \"txt\", \"md\"])\nexport type DocumentFormat = Schema.Schema.Type<typeof DocumentFormat>\n\nexport const DocumentBlock = Schema.Struct({\n  document: Schema.Struct({\n    format: DocumentFormat,\n    name: Schema.String,\n    source: Schema.Struct({ bytes: Schema.String }),\n  }),\n})\nexport type DocumentBlock = Schema.Schema.Type<typeof DocumentBlock>\n\nconst IMAGE_FORMATS = {\n  \"image/png\": \"png\",\n  \"image/jpeg\": \"jpeg\",\n  \"image/jpg\": \"jpeg\",\n  \"image/gif\": \"gif\",\n  \"image/webp\": \"webp\",\n} as const satisfies Record<string, ImageFormat>\n\nconst DOCUMENT_FORMATS = {\n  \"application/pdf\": \"pdf\",\n  \"text/csv\": \"csv\",\n  \"application/msword\": \"doc\",\n  \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\": \"docx\",\n  \"application/vnd.ms-excel\": \"xls\",\n  \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\": \"xlsx\",\n  \"text/html\": \"html\",\n  \"text/plain\": \"txt\",\n  \"text/markdown\": \"md\",\n} as const satisfies Record<string, DocumentFormat>\n\nconst documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({\n  document: {\n    format,\n    name,\n    source: { bytes },\n  },\n})\n\n// Route by MIME. Known image/document formats lower into a typed block; anything\n// else fails with a clear error instead of silently degrading to a malformed\n// document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)\n// get an image-specific error so the caller knows it's a format-support issue,\n// not a kind-detection issue.\nexport const lower = Effect.fn(\"BedrockMedia.lower\")(function* (part: MediaPart) {\n  const mime = part.mediaType.toLowerCase()\n  const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]\n  if (imageFormat) {\n    const media = yield* ProviderShared.validateMedia(\n      \"Bedrock Converse\",\n      part,\n      new Set<string>(Object.keys(IMAGE_FORMATS)),\n    )\n    return { image: { format: imageFormat, source: { bytes: media.base64 } } } satisfies ImageBlock\n  }\n  if (mime.startsWith(\"image/\"))\n    return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)\n  const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]\n  if (documentFormat) {\n    if (!part.filename)\n      return yield* ProviderShared.invalidRequest(\"Bedrock Converse document media requires a filename\")\n    const media = yield* ProviderShared.validateMedia(\n      \"Bedrock Converse\",\n      part,\n      new Set<string>(Object.keys(DOCUMENT_FORMATS)),\n    )\n    return documentBlock(part.filename, documentFormat, media.base64)\n  }\n  return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)\n})\n\nexport * as BedrockMedia from \"./bedrock-media\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMError,\n  LLMEvent,\n  Usage,\n  type CacheHint,\n  type FinishReason,\n  type FinishReasonDetails,\n  type JsonSchema,\n  type LLMRequest,\n  type ModelToolSchemaCompatibility,\n  type ProviderMetadata,\n  type ReasoningPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema\"\nimport { BedrockEventStream } from \"./bedrock-event-stream\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { BedrockAuth } from \"./utils/bedrock-auth\"\nimport { BedrockCache } from \"./utils/bedrock-cache\"\nimport { BedrockMedia } from \"./utils/bedrock-media\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst BedrockTextBlock = Schema.Struct({\n  text: Schema.String,\n})\ntype BedrockTextBlock = Schema.Schema.Type<typeof BedrockTextBlock>\n\nconst BedrockToolUseBlock = Schema.Struct({\n  toolUse: Schema.Struct({\n    toolUseId: Schema.String,\n    name: Schema.String,\n    input: Schema.Unknown,\n  }),\n})\ntype BedrockToolUseBlock = Schema.Schema.Type<typeof BedrockToolUseBlock>\n\nconst BedrockToolResultContentItem = Schema.Union([\n  Schema.Struct({ text: Schema.String }),\n  Schema.Struct({ json: Schema.Unknown }),\n  BedrockMedia.ImageBlock,\n  BedrockMedia.DocumentBlock,\n])\n\nconst BedrockToolResultBlock = Schema.Struct({\n  toolResult: Schema.Struct({\n    toolUseId: Schema.String,\n    content: Schema.Array(BedrockToolResultContentItem),\n    status: Schema.optional(Schema.Literals([\"success\", \"error\"])),\n  }),\n})\ntype BedrockToolResultBlock = Schema.Schema.Type<typeof BedrockToolResultBlock>\n\nconst BedrockReasoningBlock = Schema.Struct({\n  reasoningContent: Schema.Union([\n    Schema.Struct({\n      reasoningText: Schema.Struct({\n        text: Schema.String,\n        signature: Schema.optional(Schema.String),\n      }),\n    }),\n    Schema.Struct({ redactedContent: Schema.String }),\n  ]),\n})\n\nconst BedrockUserBlock = Schema.Union([\n  BedrockTextBlock,\n  BedrockMedia.ImageBlock,\n  BedrockMedia.DocumentBlock,\n  BedrockToolResultBlock,\n  BedrockCache.CachePointBlock,\n])\ntype BedrockUserBlock = Schema.Schema.Type<typeof BedrockUserBlock>\n\nconst BedrockAssistantBlock = Schema.Union([\n  BedrockTextBlock,\n  BedrockReasoningBlock,\n  BedrockToolUseBlock,\n  BedrockCache.CachePointBlock,\n])\ntype BedrockAssistantBlock = Schema.Schema.Type<typeof BedrockAssistantBlock>\n\nconst BedrockMessage = Schema.Union([\n  Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(BedrockUserBlock) }),\n  Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(BedrockAssistantBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype BedrockMessage = Schema.Schema.Type<typeof BedrockMessage>\n\nconst BedrockSystemBlock = Schema.Union([BedrockTextBlock, BedrockCache.CachePointBlock])\ntype BedrockSystemBlock = Schema.Schema.Type<typeof BedrockSystemBlock>\n\nconst BedrockToolSpec = Schema.Struct({\n  toolSpec: Schema.Struct({\n    name: Schema.String,\n    description: Schema.String,\n    inputSchema: Schema.Struct({\n      json: JsonObject,\n    }),\n  }),\n})\ntype BedrockToolSpec = Schema.Schema.Type<typeof BedrockToolSpec>\n\nconst BedrockTool = Schema.Union([BedrockToolSpec, BedrockCache.CachePointBlock])\ntype BedrockTool = Schema.Schema.Type<typeof BedrockTool>\n\nconst BedrockToolChoice = Schema.Union([\n  Schema.Struct({ auto: Schema.Struct({}) }),\n  Schema.Struct({ any: Schema.Struct({}) }),\n  Schema.Struct({ tool: Schema.Struct({ name: Schema.String }) }),\n])\n\nconst BedrockBodyFields = {\n  modelId: Schema.String,\n  messages: Schema.Array(BedrockMessage),\n  system: optionalArray(BedrockSystemBlock),\n  inferenceConfig: Schema.optional(\n    Schema.Struct({\n      maxTokens: Schema.optional(Schema.Number),\n      temperature: Schema.optional(Schema.Number),\n      topP: Schema.optional(Schema.Number),\n      stopSequences: optionalArray(Schema.String),\n    }),\n  ),\n  toolConfig: Schema.optional(\n    Schema.Struct({\n      tools: Schema.Array(BedrockTool),\n      toolChoice: Schema.optional(BedrockToolChoice),\n    }),\n  ),\n  additionalModelRequestFields: Schema.optional(JsonObject),\n}\nconst BedrockConverseBody = Schema.Struct(BedrockBodyFields)\nexport type BedrockConverseBody = Schema.Schema.Type<typeof BedrockConverseBody>\n\nconst BedrockUsageSchema = Schema.Struct({\n  inputTokens: Schema.optional(Schema.Number),\n  outputTokens: Schema.optional(Schema.Number),\n  totalTokens: Schema.optional(Schema.Number),\n  cacheReadInputTokens: Schema.optional(Schema.Number),\n  cacheWriteInputTokens: Schema.optional(Schema.Number),\n})\ntype BedrockUsageSchema = Schema.Schema.Type<typeof BedrockUsageSchema>\n\nconst BedrockStreamException = Schema.Struct({\n  message: Schema.optional(Schema.String),\n  originalMessage: Schema.optional(Schema.String),\n  originalStatusCode: Schema.optional(Schema.Number),\n})\n\n// Streaming event shape — the AWS event stream wraps each JSON payload by its\n// `:event-type` header (e.g. `messageStart`, `contentBlockDelta`). We\n// reconstruct that wrapping in `decodeFrames` below so the event schema can\n// stay a plain discriminated record.\nconst BedrockEvent = Schema.Struct({\n  messageStart: Schema.optional(Schema.Struct({ role: Schema.String })),\n  contentBlockStart: Schema.optional(\n    Schema.Struct({\n      contentBlockIndex: Schema.Number,\n      start: Schema.optional(\n        Schema.Struct({\n          toolUse: Schema.optional(Schema.Struct({ toolUseId: Schema.String, name: Schema.String })),\n        }),\n      ),\n    }),\n  ),\n  contentBlockDelta: Schema.optional(\n    Schema.Struct({\n      contentBlockIndex: Schema.Number,\n      delta: Schema.optional(\n        Schema.Struct({\n          text: Schema.optional(Schema.String),\n          toolUse: Schema.optional(Schema.Struct({ input: Schema.String })),\n          reasoningContent: Schema.optional(\n            Schema.Struct({\n              text: Schema.optional(Schema.String),\n              signature: Schema.optional(Schema.String),\n              // Blob fields in Bedrock's JSON event stream are base64 strings.\n              redactedContent: Schema.optional(Schema.String),\n              // Vercel's Bedrock provider exposes the same delta under\n              // Anthropic's shorter `data` spelling.\n              data: Schema.optional(Schema.String),\n            }),\n          ),\n        }),\n      ),\n    }),\n  ),\n  contentBlockStop: Schema.optional(Schema.Struct({ contentBlockIndex: Schema.Number })),\n  messageStop: Schema.optional(\n    Schema.Struct({\n      stopReason: Schema.String,\n      additionalModelResponseFields: Schema.optional(Schema.Unknown),\n    }),\n  ),\n  metadata: Schema.optional(\n    Schema.Struct({\n      usage: Schema.optional(BedrockUsageSchema),\n      metrics: Schema.optional(Schema.Unknown),\n    }),\n  ),\n  internalServerException: Schema.optional(BedrockStreamException),\n  modelStreamErrorException: Schema.optional(BedrockStreamException),\n  validationException: Schema.optional(BedrockStreamException),\n  throttlingException: Schema.optional(BedrockStreamException),\n  serviceUnavailableException: Schema.optional(BedrockStreamException),\n})\ntype BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerToolSpec = (tool: ToolDefinition, inputSchema: JsonSchema): BedrockToolSpec => ({\n  toolSpec: {\n    name: tool.name,\n    description: tool.description,\n    inputSchema: { json: inputSchema },\n  },\n})\n\nconst lowerTools = (\n  compatibility: ModelToolSchemaCompatibility | undefined,\n  breakpoints: BedrockCache.Breakpoints,\n  tools: ReadonlyArray<ToolDefinition>,\n): BedrockTool[] => {\n  const result: BedrockTool[] = []\n  for (const tool of tools) {\n    result.push(lowerToolSpec(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, compatibility)))\n    const cachePoint = BedrockCache.block(breakpoints, tool.cache)\n    if (cachePoint) result.push(cachePoint)\n  }\n  return result\n}\n\nconst textWithCache = (\n  breakpoints: BedrockCache.Breakpoints,\n  text: string,\n  cache: CacheHint | undefined,\n): Array<BedrockTextBlock | BedrockCache.CachePointBlock> => {\n  const cachePoint = BedrockCache.block(breakpoints, cache)\n  return cachePoint ? [{ text }, cachePoint] : [{ text }]\n}\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Bedrock Converse\", toolChoice, {\n    auto: () => ({ auto: {} }) as const,\n    none: () => undefined,\n    required: () => ({ any: {} }) as const,\n    tool: (name) => ({ tool: { name } }) as const,\n  })\n\nconst bedrockMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ bedrock: metadata })\n\nconst reasoningSignature = (part: ReasoningPart) => {\n  const bedrock = part.providerMetadata?.bedrock\n  return (\n    part.encrypted ??\n    (ProviderShared.isRecord(bedrock) && typeof bedrock.signature === \"string\" ? bedrock.signature : undefined)\n  )\n}\n\nconst reasoningRedactedData = (part: ReasoningPart) => {\n  const bedrock = part.providerMetadata?.bedrock\n  return ProviderShared.isRecord(bedrock) && typeof bedrock.redactedData === \"string\"\n    ? bedrock.redactedData\n    : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart): BedrockToolUseBlock => ({\n  toolUse: {\n    toolUseId: part.id,\n    name: part.name,\n    input: part.input,\n  },\n})\n\nconst lowerToolResultContent = Effect.fn(\"BedrockConverse.lowerToolResultContent\")(function* (part: ToolResultPart) {\n  if (part.result.type === \"text\" || part.result.type === \"error\")\n    return [{ text: ProviderShared.toolResultText(part) }]\n  if (part.result.type === \"json\") return [{ json: part.result.value }]\n\n  const content: Array<Schema.Schema.Type<typeof BedrockToolResultContentItem>> = []\n  for (const item of part.result.value) {\n    if (item.type === \"text\") {\n      content.push({ text: item.text })\n      continue\n    }\n    const media = yield* BedrockMedia.lower({\n      type: \"media\",\n      mediaType: item.mime,\n      data: item.uri,\n      filename: item.name,\n    })\n    content.push(media)\n  }\n  return content\n})\n\nconst lowerToolResult = Effect.fn(\"BedrockConverse.lowerToolResult\")(function* (part: ToolResultPart) {\n  return {\n    toolResult: {\n      toolUseId: part.id,\n      content: yield* lowerToolResultContent(part),\n      status: part.result.type === \"error\" ? \"error\" : \"success\",\n    },\n  } satisfies BedrockToolResultBlock\n})\n\nconst lowerMessages = Effect.fn(\"BedrockConverse.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: BedrockCache.Breakpoints,\n) {\n  const messages: BedrockMessage[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Bedrock Converse\", message)\n      const content = textWithCache(breakpoints, part.text, part.cache)\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n      else messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: BedrockUserBlock[] = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"user\", [\"text\", \"media\"])\n        if (part.type === \"text\") {\n          content.push(...textWithCache(breakpoints, part.text, part.cache))\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* BedrockMedia.lower(part))\n          continue\n        }\n      }\n      messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const content: BedrockAssistantBlock[] = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"assistant\", [\n            \"text\",\n            \"reasoning\",\n            \"tool-call\",\n          ])\n        if (part.type === \"text\") {\n          content.push(...textWithCache(breakpoints, part.text, part.cache))\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          const signature = reasoningSignature(part)\n          const redactedData = reasoningRedactedData(part)\n          if (signature === undefined && redactedData !== undefined) {\n            content.push({ reasoningContent: { redactedContent: redactedData } })\n            continue\n          }\n          content.push({ reasoningContent: { reasoningText: { text: part.text, signature } } })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(lowerToolCall(part))\n          continue\n        }\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: BedrockUserBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"tool\", [\"tool-result\"])\n      content.push(yield* lowerToolResult(part))\n      const cachePoint = BedrockCache.block(breakpoints, part.cache)\n      if (cachePoint) content.push(cachePoint)\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\n// System prompts share the cache-point convention: emit the text block, then\n// optionally a positional `cachePoint` marker.\nconst lowerSystem = (\n  breakpoints: BedrockCache.Breakpoints,\n  system: ReadonlyArray<LLMRequest[\"system\"][number]>,\n): BedrockSystemBlock[] => system.flatMap((part) => textWithCache(breakpoints, part.text, part.cache))\n\nconst fromRequest = Effect.fn(\"BedrockConverse.fromRequest\")(function* (request: LLMRequest) {\n  const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n  const generation = request.generation\n  // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in\n  // tools → system → messages order to favour the highest-impact prefixes.\n  const breakpoints = BedrockCache.breakpoints()\n  const toolConfig =\n    request.tools.length > 0\n      ? {\n          tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools),\n          // Converse has no native \"none\". Keep definitions stable for prompt\n          // caching and omit only the unsupported choice.\n          toolChoice,\n        }\n      : undefined\n  const system = request.system.length === 0 ? undefined : lowerSystem(breakpoints, request.system)\n  const messages = yield* lowerMessages(request, breakpoints)\n  if (breakpoints.dropped > 0) {\n    yield* Effect.logWarning(\n      `Bedrock Converse: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${BedrockCache.BEDROCK_BREAKPOINT_CAP} per request.`,\n    )\n  }\n  return {\n    modelId: request.model.id,\n    messages,\n    system,\n    inferenceConfig:\n      generation?.maxTokens === undefined &&\n      generation?.temperature === undefined &&\n      generation?.topP === undefined &&\n      (generation?.stop === undefined || generation.stop.length === 0)\n        ? undefined\n        : {\n            maxTokens: generation?.maxTokens,\n            temperature: generation?.temperature,\n            topP: generation?.topP,\n            stopSequences: generation?.stop,\n          },\n    toolConfig,\n    // Converse's base inferenceConfig has no topK; Anthropic/Nova accept it\n    // as a model-specific field, so it goes through additionalModelRequestFields.\n    additionalModelRequestFields: generation?.topK === undefined ? undefined : { top_k: generation.topK },\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string): FinishReason => {\n  if (reason === \"end_turn\" || reason === \"stop_sequence\") return \"stop\"\n  if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n  if (reason === \"tool_use\") return \"tool-calls\"\n  if (reason === \"content_filtered\" || reason === \"guardrail_intervened\") return \"content-filter\"\n  if (reason === \"malformed_model_output\" || reason === \"malformed_tool_use\") return \"error\"\n  return \"unknown\"\n}\n\n// AWS reports inputTokens separately from cache reads and writes.\n// Bedrock does not break reasoning out of outputTokens for current models.\nconst mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const inputTokens = ProviderShared.sumTokens(\n    usage.inputTokens,\n    usage.cacheReadInputTokens,\n    usage.cacheWriteInputTokens,\n  )\n  return new Usage({\n    inputTokens,\n    outputTokens: usage.outputTokens,\n    nonCachedInputTokens: usage.inputTokens,\n    cacheReadInputTokens: usage.cacheReadInputTokens,\n    cacheWriteInputTokens: usage.cacheWriteInputTokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),\n    providerMetadata: { bedrock: usage },\n  })\n}\n\ninterface ParserState {\n  readonly tools: ToolStream.State<number>\n  // Bedrock splits the finish into `messageStop` (carries `stopReason`) and\n  // `metadata` (carries usage). Hold the terminal event in state so `onHalt`\n  // can emit exactly one finish after both chunks have had a chance to arrive.\n  readonly pendingFinish: { readonly reason: FinishReasonDetails; readonly usage?: Usage } | undefined\n  readonly hasToolCalls: boolean\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningSignatures: Readonly<Record<number, string>>\n}\n\nconst step = (state: ParserState, event: BedrockEvent) =>\n  Effect.gen(function* () {\n    if (event.contentBlockStart?.start?.toolUse) {\n      const index = event.contentBlockStart.contentBlockIndex\n      const events: LLMEvent[] = []\n      const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n      return [\n        {\n          ...state,\n          lifecycle,\n          tools: ToolStream.start(state.tools, index, {\n            id: event.contentBlockStart.start.toolUse.toolUseId,\n            name: event.contentBlockStart.start.toolUse.name,\n          }),\n        },\n        [\n          ...events,\n          LLMEvent.toolInputStart({\n            id: event.contentBlockStart.start.toolUse.toolUseId,\n            name: event.contentBlockStart.start.toolUse.name,\n          }),\n        ],\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.text) {\n      const events: LLMEvent[] = []\n      return [\n        {\n          ...state,\n          lifecycle: Lifecycle.textDelta(\n            state.lifecycle,\n            events,\n            `text-${event.contentBlockDelta.contentBlockIndex}`,\n            event.contentBlockDelta.delta.text,\n          ),\n        },\n        events,\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.reasoningContent) {\n      const index = event.contentBlockDelta.contentBlockIndex\n      const reasoning = event.contentBlockDelta.delta.reasoningContent\n      const events: LLMEvent[] = []\n      const redactedData = reasoning.redactedContent ?? reasoning.data\n      const providerMetadata = reasoning.signature\n        ? bedrockMetadata({ signature: reasoning.signature })\n        : redactedData !== undefined\n          ? bedrockMetadata({ redactedData })\n          : undefined\n      const lifecycle =\n        reasoning.text !== undefined || providerMetadata !== undefined\n          ? Lifecycle.reasoningDelta(\n              state.lifecycle,\n              events,\n              `reasoning-${index}`,\n              reasoning.text ?? \"\",\n              providerMetadata,\n            )\n          : state.lifecycle\n      return [\n        {\n          ...state,\n          lifecycle,\n          reasoningSignatures: reasoning.signature\n            ? { ...state.reasoningSignatures, [index]: reasoning.signature }\n            : state.reasoningSignatures,\n        },\n        events,\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.toolUse) {\n      const index = event.contentBlockDelta.contentBlockIndex\n      const result = ToolStream.appendExisting(\n        ADAPTER,\n        state.tools,\n        index,\n        event.contentBlockDelta.delta.toolUse.input,\n        \"Bedrock Converse tool delta is missing its tool call\",\n      )\n      if (ToolStream.isError(result)) return yield* result\n      const events: LLMEvent[] = []\n      const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n      events.push(...result.events)\n      return [{ ...state, lifecycle, tools: result.tools }, events] as const\n    }\n\n    if (event.contentBlockStop) {\n      const index = event.contentBlockStop.contentBlockIndex\n      const result = yield* ToolStream.finish(ADAPTER, state.tools, index)\n      const events: LLMEvent[] = []\n      const resultEvents = result.events ?? []\n      const lifecycle = resultEvents.length\n        ? Lifecycle.stepStart(state.lifecycle, events)\n        : Lifecycle.reasoningEnd(\n            Lifecycle.textEnd(state.lifecycle, events, `text-${index}`),\n            events,\n            `reasoning-${index}`,\n            state.reasoningSignatures[index]\n              ? bedrockMetadata({ signature: state.reasoningSignatures[index] })\n              : undefined,\n          )\n      events.push(...resultEvents)\n      return [\n        {\n          ...state,\n          hasToolCalls:\n            resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||\n            state.hasToolCalls,\n          lifecycle,\n          tools: result.tools,\n          reasoningSignatures: Object.fromEntries(\n            Object.entries(state.reasoningSignatures).filter(([key]) => key !== String(index)),\n          ),\n        },\n        events,\n      ] as const\n    }\n\n    if (event.messageStop) {\n      return [\n        {\n          ...state,\n          pendingFinish: {\n            reason: {\n              normalized: mapFinishReason(event.messageStop.stopReason),\n              raw: event.messageStop.stopReason,\n            },\n            usage: state.pendingFinish?.usage,\n          },\n        },\n        [],\n      ] as const\n    }\n\n    if (event.metadata) {\n      const usage = mapUsage(event.metadata.usage) ?? state.pendingFinish?.usage\n      return [\n        {\n          ...state,\n          pendingFinish: {\n            reason: state.pendingFinish?.reason ?? { normalized: \"stop\" },\n            usage,\n          },\n        },\n        [],\n      ] as const\n    }\n\n    const exception = (\n      [\n        [\"internalServerException\", event.internalServerException],\n        [\"modelStreamErrorException\", event.modelStreamErrorException],\n        [\"serviceUnavailableException\", event.serviceUnavailableException],\n        [\"throttlingException\", event.throttlingException],\n        [\"validationException\", event.validationException],\n      ] as const\n    ).find((entry) => entry[1] !== undefined)\n    if (exception) {\n      return yield* new LLMError({\n        module: ADAPTER,\n        method: \"stream\",\n        reason: classifyProviderFailure({\n          message: exception[1]?.message ?? exception[1]?.originalMessage ?? \"Bedrock Converse stream error\",\n          code: exception[0],\n        }),\n      })\n    }\n\n    return [state, []] as const\n  })\n\nconst framing = BedrockEventStream.framing(ADAPTER)\n\nconst onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>\n  state.pendingFinish\n    ? (() => {\n        const events: LLMEvent[] = []\n        Lifecycle.finish(state.lifecycle, events, {\n          reason: {\n            ...state.pendingFinish.reason,\n            normalized:\n              state.pendingFinish.reason.normalized === \"stop\" && state.hasToolCalls\n                ? \"tool-calls\"\n                : state.pendingFinish.reason.normalized,\n          },\n          usage: state.pendingFinish.usage,\n        })\n        return events\n      })()\n    : []\n\n// =============================================================================\n// Protocol And Bedrock Route\n// =============================================================================\n/**\n * The Bedrock Converse protocol — request body construction, body schema, and\n * the streaming-event state machine.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: BedrockConverseBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: BedrockEvent,\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      pendingFinish: undefined,\n      hasToolCalls: false,\n      lifecycle: Lifecycle.initial(),\n      reasoningSignatures: {},\n    }),\n    step,\n    onHalt,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"bedrock\",\n  providerMetadataKey: \"bedrock\",\n  protocol,\n  // Bedrock's URL embeds the region in the route endpoint host and the\n  // validated modelId in the path. We read the validated body so the URL\n  // matches the body that gets signed.\n  endpoint: Endpoint.path<BedrockConverseBody>(\n    ({ body }) => `/model/${encodeURIComponent(body.modelId)}/converse-stream`,\n  ),\n  auth: BedrockAuth.auth,\n  framing,\n})\n\nexport const sigV4Auth = BedrockAuth.sigV4\n\nexport * as BedrockConverse from \"./bedrock-converse\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n  readonly apiKey?: string\n  readonly headers?: Record<string, string>\n  readonly credentials?: BedrockCredentials\n  /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */\n  readonly region?: string\n  /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */\n  readonly baseURL?: string\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly auth?: \"bearer\" | \"sigv4\"\n  readonly baseURL?: string\n  readonly credentials?: BedrockCredentials\n  readonly region?: string\n  readonly topP?: number\n}\nexport const routes = [BedrockConverse.route]\n\nconst bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`\n\nconst configuredRoute = (input: Config) => {\n  const { apiKey, credentials, region, baseURL, ...rest } = input\n  const resolvedRegion = region ?? credentials?.region ?? \"us-east-1\"\n  return BedrockConverse.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },\n    auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n    throw new Error(\"Amazon Bedrock bearer auth requires apiKey\")\n  if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n    throw new Error(\"Amazon Bedrock SigV4 auth does not accept apiKey\")\n  return configure({\n    apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n    baseURL: settings.baseURL,\n    credentials: settings.credentials,\n    generation: settings.topP === undefined ? undefined : { topP: settings.topP },\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    region: settings.region,\n  }).model(modelID)\n}\n"
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bin/chunk-d6cnj15r.js.map

-{
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-  "sources": ["../../node_modules/.bun/@ai-sdk+cohere@3.0.27+d6123d32214422cb/node_modules/@ai-sdk/cohere/dist/index.mjs"],
-  "sourcesContent": [
-    "// src/cohere-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  generateId,\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/cohere-chat-language-model.ts\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\n\n// src/cohere-chat-options.ts\nimport { z } from \"zod/v4\";\nvar cohereLanguageModelOptions = z.object({\n  /**\n   * Configuration for reasoning features (optional)\n   *\n   * Can be set to an object with the two properties `type` and `tokenBudget`. `type` can be set to `'enabled'` or `'disabled'` (defaults to `'enabled'`).\n   * `tokenBudget` is the maximum number of tokens the model can use for thinking, which must be set to a positive integer. The model will stop thinking if it reaches the thinking token budget and will proceed with the response\n   *\n   * @see https://docs.cohere.com/reference/chat#request.body.thinking\n   */\n  thinking: z.object({\n    type: z.enum([\"enabled\", \"disabled\"]).optional(),\n    tokenBudget: z.number().optional()\n  }).optional()\n});\n\n// src/cohere-error.ts\nimport { createJsonErrorResponseHandler } from \"@ai-sdk/provider-utils\";\nimport { z as z2 } from \"zod/v4\";\nvar cohereErrorDataSchema = z2.object({\n  message: z2.string()\n});\nvar cohereFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: cohereErrorDataSchema,\n  errorToMessage: (data) => data.message\n});\n\n// src/cohere-prepare-tools.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nfunction prepareTools({\n  tools,\n  toolChoice\n}) {\n  tools = (tools == null ? void 0 : tools.length) ? tools : void 0;\n  const toolWarnings = [];\n  if (tools == null) {\n    return { tools: void 0, toolChoice: void 0, toolWarnings };\n  }\n  const cohereTools = [];\n  for (const tool of tools) {\n    if (tool.type === \"provider\") {\n      toolWarnings.push({\n        type: \"unsupported\",\n        feature: `provider-defined tool ${tool.id}`\n      });\n    } else {\n      cohereTools.push({\n        type: \"function\",\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema\n        }\n      });\n    }\n  }\n  if (toolChoice == null) {\n    return { tools: cohereTools, toolChoice: void 0, toolWarnings };\n  }\n  const type = toolChoice.type;\n  switch (type) {\n    case \"auto\":\n      return { tools: cohereTools, toolChoice: void 0, toolWarnings };\n    case \"none\":\n      return { tools: cohereTools, toolChoice: \"NONE\", toolWarnings };\n    case \"required\":\n      return { tools: cohereTools, toolChoice: \"REQUIRED\", toolWarnings };\n    case \"tool\":\n      return {\n        tools: cohereTools.filter(\n          (tool) => tool.function.name === toolChoice.toolName\n        ),\n        toolChoice: \"REQUIRED\",\n        toolWarnings\n      };\n    default: {\n      const _exhaustiveCheck = type;\n      throw new UnsupportedFunctionalityError({\n        functionality: `tool choice type: ${_exhaustiveCheck}`\n      });\n    }\n  }\n}\n\n// src/convert-cohere-usage.ts\nfunction convertCohereUsage(tokens) {\n  if (tokens == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const inputTokens = tokens.input_tokens;\n  const outputTokens = tokens.output_tokens;\n  return {\n    inputTokens: {\n      total: inputTokens,\n      noCache: inputTokens,\n      cacheRead: void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: outputTokens,\n      text: outputTokens,\n      reasoning: void 0\n    },\n    raw: tokens\n  };\n}\n\n// src/convert-to-cohere-chat-prompt.ts\nimport {\n  UnsupportedFunctionalityError as UnsupportedFunctionalityError2\n} from \"@ai-sdk/provider\";\nfunction convertToCohereChatPrompt(prompt) {\n  const messages = [];\n  const documents = [];\n  const warnings = [];\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\": {\n        messages.push({\n          role: \"user\",\n          content: content.map((part) => {\n            var _a;\n            switch (part.type) {\n              case \"text\": {\n                return part.text;\n              }\n              case \"file\": {\n                let textContent;\n                if (typeof part.data === \"string\") {\n                  textContent = part.data;\n                } else if (part.data instanceof Uint8Array) {\n                  if (!(((_a = part.mediaType) == null ? void 0 : _a.startsWith(\"text/\")) || part.mediaType === \"application/json\")) {\n                    throw new UnsupportedFunctionalityError2({\n                      functionality: `document media type: ${part.mediaType}`,\n                      message: `Media type '${part.mediaType}' is not supported. Supported media types are: text/* and application/json.`\n                    });\n                  }\n                  textContent = new TextDecoder().decode(part.data);\n                } else {\n                  throw new UnsupportedFunctionalityError2({\n                    functionality: \"File URL data\",\n                    message: \"URLs should be downloaded by the AI SDK and not reach this point. This indicates a configuration issue.\"\n                  });\n                }\n                documents.push({\n                  data: {\n                    text: textContent,\n                    title: part.filename\n                  }\n                });\n                return \"\";\n              }\n            }\n          }).join(\"\")\n        });\n        break;\n      }\n      case \"assistant\": {\n        let text = \"\";\n        const toolCalls = [];\n        for (const part of content) {\n          switch (part.type) {\n            case \"text\": {\n              text += part.text;\n              break;\n            }\n            case \"tool-call\": {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: \"function\",\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input)\n                }\n              });\n              break;\n            }\n          }\n        }\n        messages.push({\n          role: \"assistant\",\n          content: toolCalls.length > 0 ? void 0 : text,\n          tool_calls: toolCalls.length > 0 ? toolCalls : void 0,\n          tool_plan: void 0\n        });\n        break;\n      }\n      case \"tool\": {\n        messages.push(\n          ...content.filter((toolResult) => toolResult.type !== \"tool-approval-response\").map((toolResult) => {\n            var _a;\n            const output = toolResult.output;\n            let contentValue;\n            switch (output.type) {\n              case \"text\":\n              case \"error-text\":\n                contentValue = output.value;\n                break;\n              case \"execution-denied\":\n                contentValue = (_a = output.reason) != null ? _a : \"Tool execution denied.\";\n                break;\n              case \"content\":\n              case \"json\":\n              case \"error-json\":\n                contentValue = JSON.stringify(output.value);\n                break;\n            }\n            return {\n              role: \"tool\",\n              content: contentValue,\n              tool_call_id: toolResult.toolCallId\n            };\n          })\n        );\n        break;\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return { messages, documents, warnings };\n}\n\n// src/map-cohere-finish-reason.ts\nfunction mapCohereFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"COMPLETE\":\n    case \"STOP_SEQUENCE\":\n      return \"stop\";\n    case \"MAX_TOKENS\":\n      return \"length\";\n    case \"ERROR\":\n      return \"error\";\n    case \"TOOL_CALL\":\n      return \"tool-calls\";\n    default:\n      return \"other\";\n  }\n}\n\n// src/cohere-chat-language-model.ts\nvar CohereChatLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.supportedUrls = {\n      // No URLs are supported.\n    };\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    tools,\n    toolChoice,\n    providerOptions\n  }) {\n    var _a, _b;\n    const cohereOptions = (_a = await parseProviderOptions({\n      provider: \"cohere\",\n      providerOptions,\n      schema: cohereLanguageModelOptions\n    })) != null ? _a : {};\n    const {\n      messages: chatPrompt,\n      documents: cohereDocuments,\n      warnings: promptWarnings\n    } = convertToCohereChatPrompt(prompt);\n    const {\n      tools: cohereTools,\n      toolChoice: cohereToolChoice,\n      toolWarnings\n    } = prepareTools({ tools, toolChoice });\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n        // standardized settings:\n        frequency_penalty: frequencyPenalty,\n        presence_penalty: presencePenalty,\n        max_tokens: maxOutputTokens,\n        temperature,\n        p: topP,\n        k: topK,\n        seed,\n        stop_sequences: stopSequences,\n        // response format:\n        response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? { type: \"json_object\", json_schema: responseFormat.schema } : void 0,\n        // messages:\n        messages: chatPrompt,\n        // tools:\n        tools: cohereTools,\n        tool_choice: cohereToolChoice,\n        // documents for RAG:\n        ...cohereDocuments.length > 0 && { documents: cohereDocuments },\n        // reasoning\n        ...cohereOptions.thinking && {\n          thinking: {\n            type: (_b = cohereOptions.thinking.type) != null ? _b : \"enabled\",\n            token_budget: cohereOptions.thinking.tokenBudget\n          }\n        }\n      },\n      warnings: [...toolWarnings, ...promptWarnings]\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g;\n    const { args, warnings } = await this.getArgs(options);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: args,\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        cohereChatResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const content = [];\n    for (const item of (_a = response.message.content) != null ? _a : []) {\n      if (item.type === \"text\" && item.text.length > 0) {\n        content.push({ type: \"text\", text: item.text });\n        continue;\n      }\n      if (item.type === \"thinking\" && item.thinking.length > 0) {\n        content.push({ type: \"reasoning\", text: item.thinking });\n        continue;\n      }\n    }\n    for (const citation of (_b = response.message.citations) != null ? _b : []) {\n      content.push({\n        type: \"source\",\n        sourceType: \"document\",\n        id: this.config.generateId(),\n        mediaType: \"text/plain\",\n        title: ((_d = (_c = citation.sources[0]) == null ? void 0 : _c.document) == null ? void 0 : _d.title) || \"Document\",\n        providerMetadata: {\n          cohere: {\n            start: citation.start,\n            end: citation.end,\n            text: citation.text,\n            sources: citation.sources,\n            ...citation.type && { citationType: citation.type }\n          }\n        }\n      });\n    }\n    for (const toolCall of (_e = response.message.tool_calls) != null ? _e : []) {\n      content.push({\n        type: \"tool-call\",\n        toolCallId: toolCall.id,\n        toolName: toolCall.function.name,\n        // Cohere sometimes returns `null` for tool call arguments for tools\n        // defined as having no arguments.\n        input: toolCall.function.arguments.replace(/^null$/, \"{}\")\n      });\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapCohereFinishReason(response.finish_reason),\n        raw: (_f = response.finish_reason) != null ? _f : void 0\n      },\n      usage: convertCohereUsage(response.usage.tokens),\n      request: { body: args },\n      response: {\n        // TODO timestamp, model id\n        id: (_g = response.generation_id) != null ? _g : void 0,\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = await this.getArgs(options);\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: { ...args, stream: true },\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        cohereChatChunkSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    let pendingToolCall = null;\n    let isActiveReasoning = false;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            var _a, _b;\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              finishReason = { unified: \"error\", raw: void 0 };\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            const type = value.type;\n            switch (type) {\n              case \"content-start\": {\n                if (value.delta.message.content.type === \"thinking\") {\n                  controller.enqueue({\n                    type: \"reasoning-start\",\n                    id: String(value.index)\n                  });\n                  isActiveReasoning = true;\n                  return;\n                }\n                controller.enqueue({\n                  type: \"text-start\",\n                  id: String(value.index)\n                });\n                return;\n              }\n              case \"content-delta\": {\n                if (\"thinking\" in value.delta.message.content) {\n                  controller.enqueue({\n                    type: \"reasoning-delta\",\n                    id: String(value.index),\n                    delta: value.delta.message.content.thinking\n                  });\n                  return;\n                }\n                controller.enqueue({\n                  type: \"text-delta\",\n                  id: String(value.index),\n                  delta: value.delta.message.content.text\n                });\n                return;\n              }\n              case \"content-end\": {\n                if (isActiveReasoning) {\n                  controller.enqueue({\n                    type: \"reasoning-end\",\n                    id: String(value.index)\n                  });\n                  isActiveReasoning = false;\n                  return;\n                }\n                controller.enqueue({\n                  type: \"text-end\",\n                  id: String(value.index)\n                });\n                return;\n              }\n              case \"tool-call-start\": {\n                const toolId = value.delta.message.tool_calls.id;\n                const toolName = value.delta.message.tool_calls.function.name;\n                const initialArgs = value.delta.message.tool_calls.function.arguments;\n                pendingToolCall = {\n                  id: toolId,\n                  name: toolName,\n                  arguments: initialArgs,\n                  hasFinished: false\n                };\n                controller.enqueue({\n                  type: \"tool-input-start\",\n                  id: toolId,\n                  toolName\n                });\n                if (initialArgs.length > 0) {\n                  controller.enqueue({\n                    type: \"tool-input-delta\",\n                    id: toolId,\n                    delta: initialArgs\n                  });\n                }\n                return;\n              }\n              case \"tool-call-delta\": {\n                if (pendingToolCall && !pendingToolCall.hasFinished) {\n                  const argsDelta = value.delta.message.tool_calls.function.arguments;\n                  pendingToolCall.arguments += argsDelta;\n                  controller.enqueue({\n                    type: \"tool-input-delta\",\n                    id: pendingToolCall.id,\n                    delta: argsDelta\n                  });\n                }\n                return;\n              }\n              case \"tool-call-end\": {\n                if (pendingToolCall && !pendingToolCall.hasFinished) {\n                  controller.enqueue({\n                    type: \"tool-input-end\",\n                    id: pendingToolCall.id\n                  });\n                  controller.enqueue({\n                    type: \"tool-call\",\n                    toolCallId: pendingToolCall.id,\n                    toolName: pendingToolCall.name,\n                    input: JSON.stringify(\n                      JSON.parse(((_a = pendingToolCall.arguments) == null ? void 0 : _a.trim()) || \"{}\")\n                    )\n                  });\n                  pendingToolCall.hasFinished = true;\n                  pendingToolCall = null;\n                }\n                return;\n              }\n              case \"message-start\": {\n                controller.enqueue({\n                  type: \"response-metadata\",\n                  id: (_b = value.id) != null ? _b : void 0\n                });\n                return;\n              }\n              case \"message-end\": {\n                finishReason = {\n                  unified: mapCohereFinishReason(value.delta.finish_reason),\n                  raw: value.delta.finish_reason\n                };\n                usage = value.delta.usage.tokens;\n                return;\n              }\n              default: {\n                return;\n              }\n            }\n          },\n          flush(controller) {\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertCohereUsage(usage)\n            });\n          }\n        })\n      ),\n      request: { body: { ...args, stream: true } },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nvar cohereChatResponseSchema = z3.object({\n  generation_id: z3.string().nullish(),\n  message: z3.object({\n    role: z3.string(),\n    content: z3.array(\n      z3.union([\n        z3.object({\n          type: z3.literal(\"text\"),\n          text: z3.string()\n        }),\n        z3.object({\n          type: z3.literal(\"thinking\"),\n          thinking: z3.string()\n        })\n      ])\n    ).nullish(),\n    tool_plan: z3.string().nullish(),\n    tool_calls: z3.array(\n      z3.object({\n        id: z3.string(),\n        type: z3.literal(\"function\"),\n        function: z3.object({\n          name: z3.string(),\n          arguments: z3.string()\n        })\n      })\n    ).nullish(),\n    citations: z3.array(\n      z3.object({\n        start: z3.number(),\n        end: z3.number(),\n        text: z3.string(),\n        sources: z3.array(\n          z3.object({\n            type: z3.string().optional(),\n            id: z3.string().optional(),\n            document: z3.object({\n              id: z3.string().optional(),\n              text: z3.string(),\n              title: z3.string()\n            })\n          })\n        ),\n        type: z3.string().optional()\n      })\n    ).nullish()\n  }),\n  finish_reason: z3.string(),\n  usage: z3.object({\n    billed_units: z3.object({\n      input_tokens: z3.number(),\n      output_tokens: z3.number()\n    }),\n    tokens: z3.object({\n      input_tokens: z3.number(),\n      output_tokens: z3.number()\n    })\n  })\n});\nvar cohereChatChunkSchema = z3.discriminatedUnion(\"type\", [\n  z3.object({\n    type: z3.literal(\"citation-start\")\n  }),\n  z3.object({\n    type: z3.literal(\"citation-end\")\n  }),\n  z3.object({\n    type: z3.literal(\"content-start\"),\n    index: z3.number(),\n    delta: z3.object({\n      message: z3.object({\n        content: z3.union([\n          z3.object({\n            type: z3.literal(\"text\"),\n            text: z3.string()\n          }),\n          z3.object({\n            type: z3.literal(\"thinking\"),\n            thinking: z3.string()\n          })\n        ])\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"content-delta\"),\n    index: z3.number(),\n    delta: z3.object({\n      message: z3.object({\n        content: z3.union([\n          z3.object({\n            text: z3.string()\n          }),\n          z3.object({\n            thinking: z3.string()\n          })\n        ])\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"content-end\"),\n    index: z3.number()\n  }),\n  z3.object({\n    type: z3.literal(\"message-start\"),\n    id: z3.string().nullish()\n  }),\n  z3.object({\n    type: z3.literal(\"message-end\"),\n    delta: z3.object({\n      finish_reason: z3.string(),\n      usage: z3.object({\n        tokens: z3.object({\n          input_tokens: z3.number(),\n          output_tokens: z3.number()\n        })\n      })\n    })\n  }),\n  // https://docs.cohere.com/v2/docs/streaming#tool-use-stream-events-for-tool-calling\n  z3.object({\n    type: z3.literal(\"tool-plan-delta\"),\n    delta: z3.object({\n      message: z3.object({\n        tool_plan: z3.string()\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"tool-call-start\"),\n    delta: z3.object({\n      message: z3.object({\n        tool_calls: z3.object({\n          id: z3.string(),\n          type: z3.literal(\"function\"),\n          function: z3.object({\n            name: z3.string(),\n            arguments: z3.string()\n          })\n        })\n      })\n    })\n  }),\n  // A single tool call's `arguments` stream in chunks and must be accumulated\n  // in a string and so the full tool object info can only be parsed once we see\n  // `tool-call-end`.\n  z3.object({\n    type: z3.literal(\"tool-call-delta\"),\n    delta: z3.object({\n      message: z3.object({\n        tool_calls: z3.object({\n          function: z3.object({\n            arguments: z3.string()\n          })\n        })\n      })\n    })\n  }),\n  z3.object({\n    type: z3.literal(\"tool-call-end\")\n  })\n]);\n\n// src/cohere-embedding-model.ts\nimport {\n  TooManyEmbeddingValuesForCallError\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders as combineHeaders2,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  parseProviderOptions as parseProviderOptions2,\n  postJsonToApi as postJsonToApi2\n} from \"@ai-sdk/provider-utils\";\nimport { z as z5 } from \"zod/v4\";\n\n// src/cohere-embedding-options.ts\nimport { z as z4 } from \"zod/v4\";\nvar cohereEmbeddingModelOptions = z4.object({\n  /**\n   * Specifies the type of input passed to the model. Default is `search_query`.\n   *\n   * - \"search_document\": Used for embeddings stored in a vector database for search use-cases.\n   * - \"search_query\": Used for embeddings of search queries run against a vector DB to find relevant documents.\n   * - \"classification\": Used for embeddings passed through a text classifier.\n   * - \"clustering\": Used for embeddings run through a clustering algorithm.\n   */\n  inputType: z4.enum([\"search_document\", \"search_query\", \"classification\", \"clustering\"]).optional(),\n  /**\n   * Specifies how the API will handle inputs longer than the maximum token length.\n   * Default is `END`.\n   *\n   * - \"NONE\": If selected, when the input exceeds the maximum input token length will return an error.\n   * - \"START\": Will discard the start of the input until the remaining input is exactly the maximum input token length for the model.\n   * - \"END\": Will discard the end of the input until the remaining input is exactly the maximum input token length for the model.\n   */\n  truncate: z4.enum([\"NONE\", \"START\", \"END\"]).optional(),\n  /**\n   * The number of dimensions of the output embedding.\n   * Only available for `embed-v4.0` and newer models.\n   *\n   * Possible values are `256`, `512`, `1024`, and `1536`.\n   * The default is `1536`.\n   */\n  outputDimension: z4.union([z4.literal(256), z4.literal(512), z4.literal(1024), z4.literal(1536)]).optional()\n});\n\n// src/cohere-embedding-model.ts\nvar CohereEmbeddingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.maxEmbeddingsPerCall = 96;\n    this.supportsParallelCalls = true;\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doEmbed({\n    values,\n    headers,\n    abortSignal,\n    providerOptions\n  }) {\n    var _a;\n    const embeddingOptions = await parseProviderOptions2({\n      provider: \"cohere\",\n      providerOptions,\n      schema: cohereEmbeddingModelOptions\n    });\n    if (values.length > this.maxEmbeddingsPerCall) {\n      throw new TooManyEmbeddingValuesForCallError({\n        provider: this.provider,\n        modelId: this.modelId,\n        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,\n        values\n      });\n    }\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi2({\n      url: `${this.config.baseURL}/embed`,\n      headers: combineHeaders2(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        // The AI SDK only supports 'float' embeddings. Note that the Cohere API\n        // supports other embedding types, but they are not currently supported by the AI SDK.\n        // https://docs.cohere.com/v2/reference/embed#request.body.embedding_types\n        embedding_types: [\"float\"],\n        texts: values,\n        input_type: (_a = embeddingOptions == null ? void 0 : embeddingOptions.inputType) != null ? _a : \"search_query\",\n        truncate: embeddingOptions == null ? void 0 : embeddingOptions.truncate,\n        output_dimension: embeddingOptions == null ? void 0 : embeddingOptions.outputDimension\n      },\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler2(\n        cohereTextEmbeddingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      warnings: [],\n      embeddings: response.embeddings.float,\n      usage: { tokens: response.meta.billed_units.input_tokens },\n      response: { headers: responseHeaders, body: rawValue }\n    };\n  }\n};\nvar cohereTextEmbeddingResponseSchema = z5.object({\n  embeddings: z5.object({\n    float: z5.array(z5.array(z5.number()))\n  }),\n  meta: z5.object({\n    billed_units: z5.object({\n      input_tokens: z5.number()\n    })\n  })\n});\n\n// src/reranking/cohere-reranking-model.ts\nimport {\n  combineHeaders as combineHeaders3,\n  createJsonResponseHandler as createJsonResponseHandler3,\n  parseProviderOptions as parseProviderOptions3,\n  postJsonToApi as postJsonToApi3\n} from \"@ai-sdk/provider-utils\";\n\n// src/reranking/cohere-reranking-api.ts\nimport { lazySchema, zodSchema } from \"@ai-sdk/provider-utils\";\nimport { z as z6 } from \"zod/v4\";\nvar cohereRerankingResponseSchema = lazySchema(\n  () => zodSchema(\n    z6.object({\n      id: z6.string().nullish(),\n      results: z6.array(\n        z6.object({\n          index: z6.number(),\n          relevance_score: z6.number()\n        })\n      ),\n      meta: z6.any()\n    })\n  )\n);\n\n// src/reranking/cohere-reranking-options.ts\nimport { lazySchema as lazySchema2, zodSchema as zodSchema2 } from \"@ai-sdk/provider-utils\";\nimport { z as z7 } from \"zod/v4\";\nvar cohereRerankingModelOptionsSchema = lazySchema2(\n  () => zodSchema2(\n    z7.object({\n      maxTokensPerDoc: z7.number().optional(),\n      priority: z7.number().optional()\n    })\n  )\n);\n\n// src/reranking/cohere-reranking-model.ts\nvar CohereRerankingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  // current implementation is based on v2 of the API: https://docs.cohere.com/v2/reference/rerank\n  async doRerank({\n    documents,\n    headers,\n    query,\n    topN,\n    abortSignal,\n    providerOptions\n  }) {\n    var _a;\n    const rerankingOptions = await parseProviderOptions3({\n      provider: \"cohere\",\n      providerOptions,\n      schema: cohereRerankingModelOptionsSchema\n    });\n    const warnings = [];\n    if (documents.type === \"object\") {\n      warnings.push({\n        type: \"compatibility\",\n        feature: \"object documents\",\n        details: \"Object documents are converted to strings.\"\n      });\n    }\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi3({\n      url: `${this.config.baseURL}/rerank`,\n      headers: combineHeaders3(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        query,\n        documents: documents.type === \"text\" ? documents.values : documents.values.map((value) => JSON.stringify(value)),\n        top_n: topN,\n        max_tokens_per_doc: rerankingOptions == null ? void 0 : rerankingOptions.maxTokensPerDoc,\n        priority: rerankingOptions == null ? void 0 : rerankingOptions.priority\n      },\n      failedResponseHandler: cohereFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler3(\n        cohereRerankingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      ranking: response.results.map((result) => ({\n        index: result.index,\n        relevanceScore: result.relevance_score\n      })),\n      warnings,\n      response: {\n        id: (_a = response.id) != null ? _a : void 0,\n        headers: responseHeaders,\n        body: rawValue\n      }\n    };\n  }\n};\n\n// src/version.ts\nvar VERSION = true ? \"3.0.27\" : \"0.0.0-test\";\n\n// src/cohere-provider.ts\nfunction createCohere(options = {}) {\n  var _a;\n  const baseURL = (_a = withoutTrailingSlash(options.baseURL)) != null ? _a : \"https://api.cohere.com/v2\";\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"COHERE_API_KEY\",\n        description: \"Cohere\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/cohere/${VERSION}`\n  );\n  const createChatModel = (modelId) => {\n    var _a2;\n    return new CohereChatLanguageModel(modelId, {\n      provider: \"cohere.chat\",\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      generateId: (_a2 = options.generateId) != null ? _a2 : generateId\n    });\n  };\n  const createEmbeddingModel = (modelId) => new CohereEmbeddingModel(modelId, {\n    provider: \"cohere.textEmbedding\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createRerankingModel = (modelId) => new CohereRerankingModel(modelId, {\n    provider: \"cohere.reranking\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const provider = function(modelId) {\n    if (new.target) {\n      throw new Error(\n        \"The Cohere model function cannot be called with the new keyword.\"\n      );\n    }\n    return createChatModel(modelId);\n  };\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createChatModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.reranking = createRerankingModel;\n  provider.rerankingModel = createRerankingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar cohere = createCohere();\nexport {\n  VERSION,\n  cohere,\n  createCohere\n};\n//# sourceMappingURL=index.mjs.map"
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-  "debugId": "2B9A5E524B26D01C64756E2164756E21",
-  "names": []
-}

bin/chunk-dk0jf8q9.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/openai-images.ts", "../ai/src/providers/openai.ts"],
-  "sourcesContent": [
-    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest, HttpClientResponse } from \"effect/unstable/http\"\nimport {\n  ImageModel,\n  GeneratedImage,\n  ImageResponse,\n  type ImageInput,\n  type ImageRequestFor,\n  type ImageRoute,\n} from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport {\n  InvalidProviderOutputReason,\n  LLMError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema\"\nimport { ProviderShared } from \"./shared\"\nimport { ImageInputs } from \"./utils/image-input\"\nimport { OpenAIImage } from \"./utils/openai-image\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type OpenAIImageString<Known extends string> = Known | (string & {})\n\nexport type OpenAIImageOptions = {\n  readonly mask?: ImageInput\n  readonly n?: number\n  readonly size?: OpenAIImageString<\n    \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n  >\n  readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n  readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n  readonly moderation?: OpenAIImageString<\"auto\" | \"low\">\n  readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n  readonly outputCompression?: number\n} & Record<string, unknown>\n\nexport type OpenAIImageBody = Record<string, unknown> & {\n  readonly model: string\n  readonly prompt: string\n}\n\nconst OpenAIImageResponse = Schema.Struct({\n  data: Schema.Array(\n    Schema.Struct({\n      b64_json: Schema.optional(Schema.String),\n      url: Schema.optional(Schema.String),\n      revised_prompt: Schema.optional(Schema.String),\n    }),\n  ),\n  output_format: Schema.optional(Schema.String),\n  usage: Schema.optional(\n    Schema.Struct({\n      input_tokens: Schema.optional(Schema.Number),\n      output_tokens: Schema.optional(Schema.Number),\n      total_tokens: Schema.optional(Schema.Number),\n      input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n      output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n    }),\n  ),\n})\n\nexport interface ModelInput {\n  readonly id: string\n  readonly auth: AuthDefinition\n  readonly baseURL?: string\n  readonly headers?: Record<string, string>\n  readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: OpenAIImageOptions | undefined) => {\n  if (!options) return undefined\n  const { mask: _, outputFormat, outputCompression, ...native } = options\n  return {\n    output_format: outputFormat,\n    output_compression: outputCompression,\n    ...native,\n  }\n}\n\nconst invalidOutput = (message: string) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute<OpenAIImageOptions> = {\n    id: ADAPTER,\n    generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequestFor<OpenAIImageOptions>, execute) {\n      const mask = request.options?.mask\n      if (mask !== undefined && (request.images?.length ?? 0) === 0)\n        return yield* ImageInputs.invalid(ADAPTER, \"An OpenAI image mask requires at least one input image\")\n      const http = mergeHttpOptions(request.model.http, request.http)\n      const sourceImages = request.images ?? []\n      const multipartImages = yield* Effect.forEach(sourceImages, (image) => {\n        if (image.type === \"bytes\") return Effect.succeed({ data: image.data, mediaType: image.mediaType })\n        if (image.type === \"url\") return ImageInputs.decodeDataUrl(image.url, ADAPTER)\n        return Effect.succeed(undefined)\n      })\n      const multipartMask =\n        mask === undefined\n          ? undefined\n          : mask.type === \"bytes\"\n            ? { data: mask.data, mediaType: mask.mediaType }\n            : mask.type === \"url\"\n              ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)\n              : undefined\n      const useMultipart =\n        sourceImages.length > 0 &&\n        multipartImages.every((image) => image !== undefined) &&\n        (mask === undefined || multipartMask !== undefined)\n      const path = sourceImages.length === 0 ? PATH : EDIT_PATH\n      const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${path}`, http?.query)\n\n      if (useMultipart) {\n        const form = new FormData()\n        form.append(\"model\", request.model.id)\n        form.append(\"prompt\", request.prompt)\n        Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {\n          if ([\"model\", \"prompt\", \"image\", \"image[]\", \"images\", \"mask\"].includes(key)) return\n          form.append(key, typeof value === \"string\" ? value : ProviderShared.encodeJson(value))\n        })\n        multipartImages.forEach((image, index) => {\n          if (image === undefined) return\n          form.append(\"image[]\", imageBlob(image.data, image.mediaType), `image-${index}`)\n        })\n        if (multipartMask !== undefined)\n          form.append(\"mask\", imageBlob(multipartMask.data, multipartMask.mediaType), \"mask\")\n        const headers = yield* Auth.toEffect(input.auth)({\n          request,\n          method: \"POST\",\n          url,\n          body: \"[multipart/form-data]\",\n          headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), \"content-type\"),\n        })\n        const response = yield* execute(\n          HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),\n        )\n        return yield* parseResponse(response, request.options, http?.body)\n      }\n\n      const references = sourceImages.map((image) => {\n        if (image.type === \"bytes\") return { image_url: ImageInputs.dataUrl(image) }\n        if (image.type === \"url\") return { image_url: image.url }\n        if (image.type === \"file-id\") return { file_id: image.id }\n        return undefined\n      })\n      if (references.some((image) => image === undefined))\n        return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n      const maskReference =\n        mask === undefined\n          ? undefined\n          : mask.type === \"bytes\"\n            ? { image_url: ImageInputs.dataUrl(mask) }\n            : mask.type === \"url\"\n              ? { image_url: mask.url }\n              : mask.type === \"file-id\"\n                ? { file_id: mask.id }\n                : undefined\n      if (mask !== undefined && maskReference === undefined)\n        return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs\")\n      const requestBody = mergeJsonRecords(\n        {\n          model: request.model.id,\n          prompt: request.prompt,\n          images: references.length === 0 ? undefined : references,\n          mask: maskReference,\n        },\n        nativeOptions(request.options),\n        http?.body,\n      ) as OpenAIImageBody\n      const text = ProviderShared.encodeJson(requestBody)\n      const headers = yield* Auth.toEffect(input.auth)({\n        request,\n        method: \"POST\",\n        url,\n        body: text,\n        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n      })\n      const response = yield* execute(\n        HttpClientRequest.post(url).pipe(\n          HttpClientRequest.setHeaders(headers),\n          HttpClientRequest.bodyText(text, \"application/json\"),\n        ),\n      )\n      return yield* parseResponse(response, request.options, http?.body)\n    }),\n  }\n  return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: \"openai\", route, http: input.http })\n}\n\nconst parseResponse = Effect.fn(\"OpenAIImages.parseResponse\")(function* (\n  response: HttpClientResponse.HttpClientResponse,\n  options: OpenAIImageOptions | undefined,\n  overlay: Record<string, unknown> | undefined,\n) {\n  const payload = yield* response.json.pipe(\n    Effect.mapError(() => invalidOutput(\"Failed to read the OpenAI Images response\")),\n  )\n  const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(\n    Effect.mapError(() => invalidOutput(\"OpenAI Images returned an invalid response\")),\n  )\n  const requestBody = mergeJsonRecords(nativeOptions(options), overlay)\n  const format =\n    decoded.output_format ?? (typeof requestBody?.output_format === \"string\" ? requestBody.output_format : \"png\")\n  const images = yield* Effect.forEach(decoded.data, (item, index) => {\n    if (item.b64_json)\n      return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n        Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),\n        Effect.map(\n          (data) =>\n            new GeneratedImage({\n              mediaType: `image/${format}`,\n              data,\n              providerMetadata:\n                item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n            }),\n        ),\n      )\n    if (item.url)\n      return Effect.succeed(\n        new GeneratedImage({\n          mediaType: `image/${format}`,\n          data: item.url,\n          providerMetadata:\n            item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n        }),\n      )\n    return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))\n  })\n  if (images.length === 0) return yield* invalidOutput(\"OpenAI Images returned no images\")\n  return new ImageResponse({\n    images,\n    usage:\n      decoded.usage === undefined\n        ? undefined\n        : new Usage({\n            inputTokens: decoded.usage.input_tokens,\n            outputTokens: decoded.usage.output_tokens,\n            totalTokens: decoded.usage.total_tokens,\n            providerMetadata: { openai: decoded.usage },\n          }),\n    providerMetadata: { openai: { outputFormat: format } },\n  })\n})\n\nconst imageBlob = (data: Uint8Array, mediaType: string) => {\n  const buffer = new ArrayBuffer(data.byteLength)\n  new Uint8Array(buffer).set(data)\n  return new Blob([buffer], { type: mediaType })\n}\n\nexport const OpenAIImages = {\n  model,\n} as const\n",
-    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIResponses.webSocketRoute, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly queryParams?: Record<string, string>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport interface ImageGenerationOptions {\n  readonly action?: OpenAIImageString<\"auto\" | \"generate\" | \"edit\">\n  readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n  readonly inputFidelity?: OpenAIImageString<\"low\" | \"high\">\n  readonly outputCompression?: number\n  readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n  readonly partialImages?: number\n  readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n  readonly size?: OpenAIImageString<\n    \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n  >\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n  ToolDefinition.make({\n    name: \"image_generation\",\n    description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n    inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n    native: {\n      openai: {\n        type: \"image_generation\",\n        action: options.action,\n        background: options.background,\n        input_fidelity: options.inputFidelity,\n        output_compression: options.outputCompression,\n        output_format: options.outputFormat,\n        partial_images: options.partialImages,\n        quality: options.quality,\n        size: options.size,\n      },\n    },\n  })\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly organization?: string\n  readonly project?: string\n  readonly queryParams?: Readonly<Record<string, string>>\n  readonly transport?: \"http\" | \"websocket\"\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input\n  return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: { baseURL: input.baseURL, query: input.queryParams },\n  })\n\nexport const configure = (input: Config = {}) => {\n  const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n  const responsesWebSocketRoute = configuredRoute(OpenAIResponses.webSocketRoute, input)\n  const chatRoute = configuredRoute(OpenAIChat.route, input)\n  const modelDefaults = defaults(input)\n  const responses = (id: string | ModelID) =>\n    responsesRoute\n      .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n      .model<OpenAIProviderOptionsInput>({ id })\n  const responsesWebSocket = (id: string | ModelID) =>\n    responsesWebSocketRoute\n      .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n      .model<OpenAIProviderOptionsInput>({ id })\n  const chat = (id: string | ModelID) =>\n    chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })\n  const image = (modelID: string | ModelID) =>\n    OpenAIImages.model({\n      id: modelID,\n      auth: auth(input),\n      baseURL: input.baseURL,\n      headers: input.headers,\n      http: mergeHttpOptions(\n        input.http === undefined ? undefined : HttpOptions.make(input.http),\n        input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),\n      ),\n    })\n\n  return {\n    id,\n    model: responses,\n    responses,\n    responsesWebSocket,\n    chat,\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n  const headers = {\n    ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n    ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n    ...settings.headers,\n  }\n  return {\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: Object.keys(headers).length === 0 ? undefined : headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n  const configured = configure(config(settings))\n  if (settings.transport === undefined || settings.transport === \"http\") return configured.responses(modelID)\n  if (settings.transport === \"websocket\") return configured.responsesWebSocket(modelID)\n  throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const responsesWebSocket = provider.responsesWebSocket\nexport const chat = provider.chat\nexport const image = provider.image\n"
-  ],
-  "mappings": 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-  "debugId": "D45855893E34270164756E2164756E21",
-  "names": []
-}

bin/chunk-dntxm54b.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/ai-gateway-provider@3.1.2+a6631614dda8d488/node_modules/ai-gateway-provider/dist/providers/unified.mjs"],
-  "sourcesContent": [
-    "// src/providers/unified.ts\nimport { createOpenAICompatible } from \"@ai-sdk/openai-compatible\";\nvar createUnified = (arg) => {\n  return createOpenAICompatible({\n    baseURL: \"https://gateway.ai.cloudflare.com/v1/compat\",\n    // intercepted and replaced with actual base URL later\n    name: \"Unified\",\n    ...arg || {}\n  });\n};\nvar unified = createUnified();\nexport {\n  createUnified,\n  unified\n};\n//# sourceMappingURL=unified.mjs.map"
-  ],
-  "mappings": ";kSAEA,SAAI,OAAgB,MAAC,SAAQ,MAC3B,YAAO,OAAuB,CAC5B,QAAS,8CAET,KAAM,aACH,GAAO,CAAC,CACb,CAAC,GAEC,EAAU,EAAc",
-  "debugId": "363B5338273CE39364756E2164756E21",
-  "names": []
-}

bin/chunk-dpsr3ct7.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/prompt/parse.ts"],
-  "sourcesContent": [
-    "export function parseFileLineRange(input: string) {\n  const hash = input.lastIndexOf(\"#\")\n  if (hash === -1) return { base: input }\n\n  const base = input.slice(0, hash)\n  const match = input.slice(hash + 1).match(/^(\\d+)(?:-(\\d*))?$/)\n  if (!match) return { base }\n\n  const startLine = Number(match[1])\n  const endLine = match[2] && startLine < Number(match[2]) ? Number(match[2]) : undefined\n  return { base, lineRange: { startLine, endLine } }\n}\n\nexport function stripFileLineRange(input: string) {\n  return parseFileLineRange(input).base\n}\n\nexport function parseSlashHead(text: string, separator = /[ \\t\\n]/) {\n  if (!text.startsWith(\"/\")) return\n\n  const end = text.slice(1).search(separator)\n  if (end === -1) return { name: text.slice(1), arguments: \"\", end: text.length }\n\n  const split = end + 1\n  return { name: text.slice(1, split), arguments: text.slice(split + 1), end: split }\n}\n"
-  ],
-  "mappings": ";AAAO,SAAS,CAAkB,CAAC,EAAe,CAChD,IAAM,EAAO,EAAM,YAAY,GAAG,EAClC,GAAI,IAAS,GAAI,MAAO,CAAE,KAAM,CAAM,EAEtC,IAAM,EAAO,EAAM,MAAM,EAAG,CAAI,EAC1B,EAAQ,EAAM,MAAM,EAAO,CAAC,EAAE,MAAM,oBAAoB,EAC9D,GAAI,CAAC,EAAO,MAAO,CAAE,MAAK,EAE1B,IAAM,EAAY,OAAO,EAAM,EAAE,EAC3B,EAAU,EAAM,IAAM,EAAY,OAAO,EAAM,EAAE,EAAI,OAAO,EAAM,EAAE,EAAI,OAC9E,MAAO,CAAE,OAAM,UAAW,CAAE,YAAW,SAAQ,CAAE,EAG5C,SAAS,CAAkB,CAAC,EAAe,CAChD,OAAO,EAAmB,CAAK,EAAE,KAG5B,SAAS,CAAc,CAAC,EAAc,EAAY,UAAW,CAClE,GAAI,CAAC,EAAK,WAAW,GAAG,EAAG,OAE3B,IAAM,EAAM,EAAK,MAAM,CAAC,EAAE,OAAO,CAAS,EAC1C,GAAI,IAAQ,GAAI,MAAO,CAAE,KAAM,EAAK,MAAM,CAAC,EAAG,UAAW,GAAI,IAAK,EAAK,MAAO,EAE9E,IAAM,EAAQ,EAAM,EACpB,MAAO,CAAE,KAAM,EAAK,MAAM,EAAG,CAAK,EAAG,UAAW,EAAK,MAAM,EAAQ,CAAC,EAAG,IAAK,CAAM",
-  "debugId": "F3AD533C38056B6A64756E2164756E21",
-  "names": []
-}

bin/chunk-edtjytac.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mini.ts"],
-  "sourcesContent": [
-    "import { Context, Effect, FileSystem, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { Config } from \"../../config\"\nimport { resolve } from \"@opencode-ai/tui/config\"\n\nexport default Runtime.handler(Commands.commands.mini, (input) =>\n  Effect.gen(function* () {\n    const { runMini, validateMiniTerminal } = yield* Effect.promise(() => import(\"../../mini\"))\n    yield* Effect.promise(async () => validateMiniTerminal())\n    const serverURL = Option.getOrUndefined(input.server)\n    const server = yield* ServerConnection.resolve({ server: serverURL, standalone: input.standalone })\n    const config = yield* Config.Service\n    const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== \"win32\" })\n    const fileSystem = yield* FileSystem.FileSystem\n    const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))\n    const service = server.service\n    yield* Effect.promise(() =>\n      runMini({\n        server: {\n          endpoint: server.endpoint,\n          reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,\n        },\n        continue: input.continue,\n        session: Option.getOrUndefined(input.session),\n        fork: input.fork,\n        model: Option.getOrUndefined(input.model),\n        agent: Option.getOrUndefined(input.agent),\n        prompt: Option.getOrUndefined(input.prompt),\n        replay: Option.getOrUndefined(input.replay) ?? resolved.mini?.replay ?? true,\n        replayLimit: Option.getOrUndefined(input.replayLimit) ?? resolved.mini?.replay_limit,\n        demo: input.demo,\n        tuiConfig: resolved,\n        config: {\n          update: (update) => runServicePromise(config.update(update)),\n        },\n      }),\n    )\n  }),\n)\n"
-  ],
-  "mappings": ";ogCAOA,SAAe,SAAQ,aAAQ,OAAS,cAAS,UAAM,MAAC,SACtD,OAAO,SAAI,cAAU,OAAG,MACtB,SAAQ,eAAS,6BAAyB,WAAO,OAAO,aAAQ,SAAa,wCAAa,OAC1F,WAAO,OAAO,aAAQ,cAAY,OAAqB,CAAC,EACxD,IAAM,EAAY,EAAO,eAAe,EAAM,MAAM,EAC9C,EAAS,MAAO,EAAiB,QAAQ,CAAE,OAAQ,EAAW,WAAY,EAAM,UAAW,CAAC,EAC5F,EAAS,MAAO,EAAO,QACvB,EAAW,EAAQ,MAAO,EAAO,IAAI,EAAG,CAAE,gBAAiB,EAA6B,CAAC,EACzF,EAAa,MAAO,EAAW,WAC/B,EAAoB,EAAO,eAAe,EAAQ,KAAK,EAAW,WAAY,CAAU,CAAC,EACzF,EAAU,EAAO,QACvB,MAAO,EAAO,QAAQ,IACpB,EAAQ,CACN,OAAQ,CACN,SAAU,EAAO,SACjB,UAAW,EAAU,CAAC,IAAW,EAAkB,EAAQ,UAAU,EAAG,CAAE,QAAO,CAAC,EAAI,MACxF,EACA,SAAU,EAAM,SAChB,QAAS,EAAO,eAAe,EAAM,OAAO,EAC5C,KAAM,EAAM,KACZ,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,OAAQ,EAAO,eAAe,EAAM,MAAM,EAC1C,OAAQ,EAAO,eAAe,EAAM,MAAM,GAAK,EAAS,MAAM,QAAU,GACxE,YAAa,EAAO,eAAe,EAAM,WAAW,GAAK,EAAS,MAAM,aACxE,KAAM,EAAM,KACZ,UAAW,EACX,OAAQ,CACN,OAAQ,CAAC,IAAW,EAAkB,EAAO,OAAO,CAAM,CAAC,CAC7D,CACF,CAAC,CACH,EACD,CACH",
-  "debugId": "EDD4B8518F7D63FE64756E2164756E21",
-  "names": []
-}

bin/chunk-ghm1xrw0.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/openai-compatible-chat.ts"],
-  "sourcesContent": [
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bin/chunk-gseebe1t.js.map

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bin/chunk-jb55dfvp.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/tool-stream.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { LLMError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from \"../../schema\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared\"\n\ntype StreamKey = string | number\n\n/**\n * One pending streamed tool call. Providers emit the tool identity and JSON\n * argument text across separate chunks; `input` is the raw JSON string collected\n * so far, not the parsed object.\n */\nexport interface PendingTool extends ToolAccumulator {\n  readonly providerExecuted?: boolean\n  readonly providerMetadata?: ProviderMetadata\n}\n\n/**\n * Sparse parser state keyed by the provider's stream-local tool identifier.\n *\n * This key is not the final tool-call id (`call_...`). It is the id/index the\n * provider uses while streaming a partial call: OpenAI Chat / Anthropic /\n * Bedrock use numeric content indexes, while OpenAI Responses uses string\n * `item_id`s. The generic keeps each protocol internally consistent.\n */\nexport type State<K extends StreamKey> = Partial<Record<K, PendingTool>>\n\n/**\n * Result of adding argument text to one pending tool call. It returns both the\n * next `tools` state and the updated `tool` because parsers often need the\n * current id/name immediately. `events` contains lifecycle and delta events\n * produced by the append; metadata-only deltas update identity without output.\n */\nexport interface AppendOutcome<K extends StreamKey> {\n  readonly tools: State<K>\n  readonly tool: PendingTool\n  readonly events: ReadonlyArray<LLMEvent>\n}\n\n/** Create empty accumulator state for one provider stream. */\nexport const empty = <K extends StreamKey>(): State<K> => ({})\n\nconst withTool = <K extends StreamKey>(tools: State<K>, key: K, tool: PendingTool): State<K> => {\n  return { ...tools, [key]: tool }\n}\n\nconst withoutTool = <K extends StreamKey>(tools: State<K>, key: K): State<K> => {\n  const next = { ...tools }\n  delete next[key]\n  return next\n}\n\nconst inputStart = (tool: PendingTool) =>\n  LLMEvent.toolInputStart({\n    id: tool.id,\n    name: tool.name,\n    providerExecuted: tool.providerExecuted ? true : undefined,\n    providerMetadata: tool.providerMetadata,\n  })\n\nconst inputDelta = (tool: PendingTool, text: string) =>\n  LLMEvent.toolInputDelta({\n    id: tool.id,\n    name: tool.name,\n    text,\n  })\n\nconst toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {\n  const raw = inputOverride ?? tool.input\n  return parseToolInput(route, tool.name, raw).pipe(\n    Effect.map((input): ToolCall | ToolInputError =>\n      LLMEvent.toolCall({\n        id: tool.id,\n        name: tool.name,\n        input,\n        providerExecuted: tool.providerExecuted ? true : undefined,\n        providerMetadata: tool.providerMetadata,\n      }),\n    ),\n    Effect.catch((error) =>\n      tool.providerExecuted\n        ? Effect.fail(error)\n        : Effect.succeed(\n            LLMEvent.toolInputError({\n              id: tool.id,\n              name: tool.name,\n              raw,\n            }),\n          ),\n    ),\n  )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>\n  event.type === \"tool-input-error\"\n    ? [event]\n    : [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n  tools: State<K>,\n  key: K,\n  tool: PendingTool,\n  text: string,\n): AppendOutcome<K> => {\n  const events: LLMEvent[] = []\n  if (!tools[key]) events.push(inputStart(tool))\n  if (text.length > 0) events.push(inputDelta(tool, text))\n  return {\n    tools: withTool(tools, key, tool),\n    tool,\n    events,\n  }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | LLMError): result is LLMError =>\n  result instanceof LLMError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n  tools: State<K>,\n  key: K,\n  tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n  route: string,\n  tools: State<K>,\n  key: K,\n  delta: { readonly id?: string; readonly name?: string; readonly text: string },\n  missingToolMessage: string,\n): AppendOutcome<K> | LLMError => {\n  const current = tools[key]\n  const id = current?.id ?? delta.id\n  const name = current?.name ?? delta.name\n  if (!id || !name) return eventError(route, missingToolMessage)\n\n  const tool = {\n    id,\n    name,\n    input: `${current?.input ?? \"\"}${delta.text}`,\n    providerExecuted: current?.providerExecuted,\n    providerMetadata: current?.providerMetadata,\n  }\n  if (current && delta.text.length === 0 && current.id === id && current.name === name)\n    return { tools, tool: current, events: [] }\n  return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n  route: string,\n  tools: State<K>,\n  key: K,\n  text: string,\n  missingToolMessage: string,\n): AppendOutcome<K> | LLMError => {\n  const current = tools[key]\n  if (!current) return eventError(route, missingToolMessage)\n  if (text.length === 0) return { tools, tool: current, events: [] }\n  return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and return either a call or a non-executable local input error.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n  Effect.gen(function* () {\n    const tool = tools[key]\n    if (!tool) return { tools }\n    return {\n      tools: withoutTool(tools, key),\n      events: finishEvents(tool, yield* toolCall(route, tool)),\n    }\n  })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n  Effect.gen(function* () {\n    const tool = tools[key]\n    if (!tool) return { tools }\n    return {\n      tools: withoutTool(tools, key),\n      events: finishEvents(tool, yield* toolCall(route, tool, input)),\n    }\n  })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n  Effect.gen(function* () {\n    const pending = Object.values<PendingTool | undefined>(tools).filter(\n      (tool): tool is PendingTool => tool !== undefined,\n    )\n    return {\n      tools: empty<K>(),\n      events: yield* Effect.forEach(pending, (tool) =>\n        toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n      ).pipe(Effect.map((events) => events.flat())),\n    }\n  })\n\nexport * as ToolStream from \"./tool-stream\"\n"
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bin/chunk-jj9h84gx.js.map

-{
-  "version": 3,
-  "sources": ["../schema/src/tool.ts", "../schema/src/llm.ts"],
-  "sourcesContent": [
-    "export * as Tool from \"./tool.js\"\n\nimport { Effect, JsonSchema, Schema } from \"effect\"\nimport type { StandardJSONSchemaV1, StandardSchemaV1 } from \"@standard-schema/spec\"\nimport type { Agent } from \"./agent.js\"\nimport type { Session } from \"./session.js\"\nimport type { SessionMessage } from \"./session-message.js\"\n\nexport type Metadata = Readonly<Record<string, any>>\n\nexport const CallID = Schema.String.pipe(Schema.brand(\"Tool.CallID\"))\nexport type CallID = typeof CallID.Type\n\nexport interface Context {\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: CallID\n  readonly progress: (update: Metadata) => Effect.Effect<void>\n}\n\ninterface BaseOptions {\n  readonly namespace?: string\n  readonly permission?: string\n}\n\nexport type Options = BaseOptions &\n  (\n    | {\n        readonly codemode?: true\n        readonly pinned?: boolean\n      }\n    | {\n        readonly codemode: boolean\n        readonly pinned?: never\n      }\n  )\n\nexport type ValueSchema<A = unknown> =\n  | Schema.Codec<A, any>\n  | (StandardSchemaV1<any, A> & StandardJSONSchemaV1<any, A>)\n  | JsonSchema.JsonSchema\n\ntype InputValue<S> = 0 extends 1 & S\n  ? any\n  : S extends Schema.Codec<infer A, any>\n    ? A\n    : S extends StandardSchemaV1<any, infer A>\n      ? A\n      : unknown\ntype OutputValue<S> = S extends undefined\n  ? never\n  : S extends Schema.Codec<infer A, any>\n    ? A\n    : S extends StandardSchemaV1<infer A, any>\n      ? A\n      : any\n\nexport class Error extends Schema.TaggedErrorClass<Error>()(\"Tool.Error\", {\n  message: Schema.String,\n  error: Schema.optional(Schema.Defect()),\n  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport interface TextContent extends Schema.Schema.Type<typeof TextContent> {}\nexport const TextContent = Schema.Struct({\n  type: Schema.Literal(\"text\"),\n  text: Schema.String,\n}).annotate({ identifier: \"Tool.TextContent\" })\n\nexport interface FileContent extends Schema.Schema.Type<typeof FileContent> {}\nexport const FileContent = Schema.Struct({\n  type: Schema.Literal(\"file\"),\n  uri: Schema.String,\n  mime: Schema.String,\n  name: Schema.optional(Schema.String),\n}).annotate({ identifier: \"Tool.FileContent\" })\n\nexport const Content = Schema.Union([TextContent, FileContent])\n  .pipe(Schema.toTaggedUnion(\"type\"))\n  .annotate({ identifier: \"Tool.Content\" })\nexport type Content = Schema.Schema.Type<typeof Content>\n\nexport interface Result<Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined> {\n  readonly output?: OutputValue<Output>\n  readonly content?: string | ReadonlyArray<Content>\n  readonly metadata?: Metadata\n}\n\nexport type Info<\n  Input extends ValueSchema<any> = ValueSchema<any>,\n  Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined,\n> = {\n  readonly name: string\n  readonly input: Input\n  readonly description: string\n  readonly execute: (input: InputValue<Input>, context: Context) => Effect.Effect<Result<Output>, Error>\n  readonly output?: Output\n  readonly options?: Options\n}\n",
-    "export * as LLM from \"./llm.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\n\nexport const ProviderMetadata = Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown)).annotate({\n  identifier: \"LLM.ProviderMetadata\",\n})\nexport type ProviderMetadata = Schema.Schema.Type<typeof ProviderMetadata>\n\nexport const FinishReason = Schema.Literals([\"stop\", \"length\", \"tool-calls\", \"content-filter\", \"error\", \"unknown\"])\nexport type FinishReason = typeof FinishReason.Type\n"
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-}

bin/chunk-jv1haavh.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"],
-  "sourcesContent": [
-    "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor\"\nimport type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from \"./image\"\nimport type { LLMError } from \"./schema\"\n\nexport type Execute = RequestExecutor.Interface[\"execute\"]\n\nexport interface Interface {\n  readonly generate: <Options extends ImageOptions>(\n    request: ImageRequestFor<Options>,\n  ) => Effect.Effect<ImageResponse, LLMError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/ImageClient\") {}\n\nexport const generate = <Options extends ImageOptions>(\n  request: ImageRequestFor<Options>,\n): Effect.Effect<ImageResponse, LLMError> =>\n  Effect.gen(function* () {\n    const client = yield* Service\n    return yield* client.generate(request)\n  }) as Effect.Effect<ImageResponse, LLMError>\n\nexport const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const executor = yield* RequestExecutor.Service\n    return Service.of({\n      generate: (request) => request.model.route.generate(request, executor.execute),\n    })\n  }),\n)\n\nexport const ImageClient = {\n  Service,\n  layer,\n  generate,\n} as const\n",
-    "import { Effect, Schema } from \"effect\"\nimport { HttpOptions, InvalidRequestReason, LLMError, ModelID, ProviderID, ProviderMetadata, Usage } from \"./schema\"\nimport { ImageClient, Service, type Execute as ImageExecute } from \"./image-client\"\n\nexport interface ImageRoute<Options extends ImageOptions = ImageOptions> {\n  readonly id: string\n  readonly generate: (\n    request: ImageRequestFor<Options>,\n    execute: ImageExecute,\n  ) => Effect.Effect<ImageResponse, LLMError>\n}\n\nexport type ImageOptions = Record<string, unknown>\n\nexport class ImageModel<Options extends ImageOptions = ImageOptions> {\n  declare protected readonly _Options: (options: Options) => Options\n  readonly id: ModelID\n  readonly provider: ProviderID\n  readonly route: ImageRoute<Options>\n  readonly http?: HttpOptions\n\n  constructor(input: ImageModel.Input<Options>) {\n    this.id = input.id\n    this.provider = input.provider\n    this.route = input.route\n    this.http = input.http\n  }\n\n  static make<Options extends ImageOptions = ImageOptions>(input: ImageModel.MakeInput<Options>) {\n    return new ImageModel<Options>({\n      id: ModelID.make(input.id),\n      provider: ProviderID.make(input.provider),\n      route: input.route,\n      http: input.http,\n    })\n  }\n}\n\nexport namespace ImageModel {\n  export interface Input<Options extends ImageOptions = ImageOptions> {\n    readonly id: ModelID\n    readonly provider: ProviderID\n    readonly route: ImageRoute<Options>\n    readonly http?: HttpOptions\n  }\n\n  export interface MakeInput<Options extends ImageOptions = ImageOptions>\n    extends Omit<Input<Options>, \"id\" | \"provider\"> {\n    readonly id: string | ModelID\n    readonly provider: string | ProviderID\n  }\n}\n\nexport const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {\n  expected: \"Image.Model\",\n})\n\nconst ImageBytesInput = Schema.Struct({\n  type: Schema.Literal(\"bytes\"),\n  data: Schema.Uint8Array,\n  mediaType: Schema.String,\n})\nconst ImageUrlInput = Schema.Struct({\n  type: Schema.Literal(\"url\"),\n  url: Schema.String,\n})\nconst ImageFileIDInput = Schema.Struct({\n  type: Schema.Literal(\"file-id\"),\n  id: Schema.String,\n})\nconst ImageFileURIInput = Schema.Struct({\n  type: Schema.Literal(\"file-uri\"),\n  uri: Schema.String,\n  mediaType: Schema.String,\n})\n\nexport const ImageInputSchema = Schema.Union([\n  ImageBytesInput,\n  ImageUrlInput,\n  ImageFileIDInput,\n  ImageFileURIInput,\n]).pipe(Schema.toTaggedUnion(\"type\"))\nexport type ImageInput = Schema.Schema.Type<typeof ImageInputSchema>\n\nexport const ImageInput = {\n  bytes: (data: Uint8Array, mediaType: string): ImageInput => ({ type: \"bytes\", data, mediaType }),\n  url: (url: string): ImageInput => ({ type: \"url\", url }),\n  file: (id: string): ImageInput => ({ type: \"file-id\", id }),\n  fileUri: (uri: string, mediaType: string): ImageInput => ({ type: \"file-uri\", uri, mediaType }),\n} as const\n\nexport class ImageRequest extends Schema.Class<ImageRequest>(\"Image.Request\")({\n  model: ImageModelSchema,\n  prompt: Schema.String,\n  images: Schema.optional(Schema.Array(ImageInputSchema)),\n  options: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n  http: Schema.optional(HttpOptions),\n}) {\n  declare protected readonly _ImageRequest: void\n}\n\nexport type ImageRequestFor<Options extends ImageOptions = ImageOptions> = Omit<ImageRequest, \"model\" | \"options\"> & {\n  readonly model: ImageModel<Options>\n  readonly options?: Options\n}\n\nexport type ImageModelOptions<Model> = Model extends ImageModel<infer Options> ? Options : never\n\nexport type ImageRequestInput<Model extends object = ImageModel> = Omit<\n  ConstructorParameters<typeof ImageRequest>[0],\n  \"model\" | \"options\" | \"http\"\n> & {\n  readonly model: Model\n  readonly options?: NoInfer<ImageModelOptions<Model>>\n  readonly http?: HttpOptions.Input\n} & (Model extends ImageModel<ImageModelOptions<Model>> ? unknown : never)\n\nexport class GeneratedImage extends Schema.Class<GeneratedImage>(\"Image.Generated\")({\n  mediaType: Schema.String,\n  data: Schema.Union([Schema.String, Schema.Uint8Array]),\n  providerMetadata: Schema.optional(ProviderMetadata),\n}) {}\n\nexport class ImageResponse extends Schema.Class<ImageResponse>(\"Image.Response\")({\n  images: Schema.Array(GeneratedImage),\n  usage: Schema.optional(Usage),\n  providerMetadata: Schema.optional(ProviderMetadata),\n}) {\n  get image() {\n    return this.images[0]\n  }\n}\n\nexport function request<const Model extends object>(\n  input: ImageRequestInput<Model>,\n): ImageRequestFor<ImageModelOptions<Model>>\nexport function request(input: ImageRequest): ImageRequest\nexport function request(input: ImageRequest | ImageRequestInput) {\n  if (input instanceof ImageRequest) return input\n  return new ImageRequest({\n    ...input,\n    model: input.model as unknown as ImageModel,\n    http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n  })\n}\n\nexport function generate<const Model extends object>(\n  input: ImageRequestInput<Model>,\n): Effect.Effect<ImageResponse, LLMError, Service>\nexport function generate(input: ImageRequest): Effect.Effect<ImageResponse, LLMError, Service>\nexport function generate(input: ImageRequest | ImageRequestInput) {\n  return Effect.try({\n    try: () => (input instanceof ImageRequest ? input : request(input)),\n    catch: (error) =>\n      new LLMError({\n        module: \"Image\",\n        method: \"generate\",\n        reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),\n      }),\n  }).pipe(Effect.flatMap((request) => ImageClient.generate(request as unknown as ImageRequestFor<ImageOptions>)))\n}\n\nexport const Image = {\n  request,\n  generate,\n} as const\n"
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-  "debugId": "3EF33A861AB705ED64756E2164756E21",
-  "names": []
-}

bin/chunk-m83s6xrf.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/prompt/content.ts"],
-  "sourcesContent": [
-    "export function normalizePromptContent(content: string) {\n  if (content.endsWith(\"\\r\\n\")) {\n    const body = content.slice(0, -2)\n    return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n  }\n\n  if (content.endsWith(\"\\n\")) {\n    const body = content.slice(0, -1)\n    return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n  }\n\n  return content\n}\n"
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-  "debugId": "72D946C215899C3464756E2164756E21",
-  "names": []
-}

bin/chunk-mg62ekjj.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/@ai-sdk+mistral@3.0.51+d6123d32214422cb/node_modules/@ai-sdk/mistral/dist/index.mjs"],
-  "sourcesContent": [
-    "// src/mistral-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/mistral-chat-language-model.ts\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  injectJsonInstructionIntoMessages,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\n\n// src/convert-mistral-usage.ts\nfunction convertMistralUsage(usage) {\n  var _a, _b, _c, _d, _e;\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const promptTokens = usage.prompt_tokens;\n  const completionTokens = usage.completion_tokens;\n  const cacheReadTokens = (_e = (_d = (_b = usage.num_cached_tokens) != null ? _b : (_a = usage.prompt_tokens_details) == null ? void 0 : _a.cached_tokens) != null ? _d : (_c = usage.prompt_token_details) == null ? void 0 : _c.cached_tokens) != null ? _e : 0;\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens - cacheReadTokens,\n      cacheRead: cacheReadTokens || void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: completionTokens,\n      reasoning: void 0\n    },\n    raw: usage\n  };\n}\n\n// src/convert-to-mistral-chat-messages.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nimport { convertToBase64 } from \"@ai-sdk/provider-utils\";\nfunction formatFileUrl({\n  data,\n  mediaType\n}) {\n  return data instanceof URL ? data.toString() : `data:${mediaType};base64,${convertToBase64(data)}`;\n}\nfunction convertToMistralChatMessages(prompt) {\n  var _a;\n  const messages = [];\n  for (let i = 0; i < prompt.length; i++) {\n    const { role, content } = prompt[i];\n    const isLastMessage = i === prompt.length - 1;\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\": {\n        messages.push({\n          role: \"user\",\n          content: content.map((part) => {\n            switch (part.type) {\n              case \"text\": {\n                return { type: \"text\", text: part.text };\n              }\n              case \"file\": {\n                if (part.mediaType.startsWith(\"image/\")) {\n                  const mediaType = part.mediaType === \"image/*\" ? \"image/jpeg\" : part.mediaType;\n                  return {\n                    type: \"image_url\",\n                    image_url: formatFileUrl({ data: part.data, mediaType })\n                  };\n                } else if (part.mediaType === \"application/pdf\") {\n                  return {\n                    type: \"document_url\",\n                    document_url: formatFileUrl({\n                      data: part.data,\n                      mediaType: \"application/pdf\"\n                    })\n                  };\n                } else {\n                  throw new UnsupportedFunctionalityError({\n                    functionality: \"Only images and PDF file parts are supported\"\n                  });\n                }\n              }\n            }\n          })\n        });\n        break;\n      }\n      case \"assistant\": {\n        let text = \"\";\n        const structuredContent = [];\n        let hasNativeReasoning = false;\n        const toolCalls = [];\n        for (const part of content) {\n          switch (part.type) {\n            case \"text\": {\n              text += part.text;\n              structuredContent.push({ type: \"text\", text: part.text });\n              break;\n            }\n            case \"tool-call\": {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: \"function\",\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input)\n                }\n              });\n              break;\n            }\n            case \"reasoning\": {\n              text += part.text;\n              const native = part.providerOptions?.mistral?.thinking;\n              if (native?.type === \"thinking\") {\n                hasNativeReasoning = true;\n                structuredContent.push(native);\n                break;\n              }\n              structuredContent.push({ type: \"text\", text: part.text });\n              break;\n            }\n            default: {\n              throw new Error(\n                `Unsupported content type in assistant message: ${part.type}`\n              );\n            }\n          }\n        }\n        messages.push({\n          role: \"assistant\",\n          content: hasNativeReasoning ? structuredContent : text,\n          prefix: isLastMessage ? true : void 0,\n          tool_calls: toolCalls.length > 0 ? toolCalls : void 0\n        });\n        break;\n      }\n      case \"tool\": {\n        for (const toolResponse of content) {\n          if (toolResponse.type === \"tool-approval-response\") {\n            continue;\n          }\n          const output = toolResponse.output;\n          let contentValue;\n          switch (output.type) {\n            case \"text\":\n            case \"error-text\":\n              contentValue = output.value;\n              break;\n            case \"execution-denied\":\n              contentValue = (_a = output.reason) != null ? _a : \"Tool call execution denied.\";\n              break;\n            case \"content\":\n            case \"json\":\n            case \"error-json\":\n              contentValue = JSON.stringify(output.value);\n              break;\n          }\n          messages.push({\n            role: \"tool\",\n            name: toolResponse.toolName,\n            tool_call_id: toolResponse.toolCallId,\n            content: contentValue\n          });\n        }\n        break;\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return messages;\n}\n\n// src/get-response-metadata.ts\nfunction getResponseMetadata({\n  id,\n  model,\n  created\n}) {\n  return {\n    id: id != null ? id : void 0,\n    modelId: model != null ? model : void 0,\n    timestamp: created != null ? new Date(created * 1e3) : void 0\n  };\n}\n\n// src/map-mistral-finish-reason.ts\nfunction mapMistralFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"stop\":\n      return \"stop\";\n    case \"length\":\n    case \"model_length\":\n      return \"length\";\n    case \"tool_calls\":\n      return \"tool-calls\";\n    default:\n      return \"other\";\n  }\n}\n\n// src/mistral-chat-options.ts\nimport { z } from \"zod/v4\";\nvar mistralLanguageModelOptions = z.object({\n  /**\n   * Whether to inject a safety prompt before all conversations.\n   *\n   * Defaults to `false`.\n   */\n  safePrompt: z.boolean().optional(),\n  documentImageLimit: z.number().optional(),\n  documentPageLimit: z.number().optional(),\n  /**\n   * Whether to use structured outputs.\n   *\n   * @default true\n   */\n  structuredOutputs: z.boolean().optional(),\n  /**\n   * Whether to use strict JSON schema validation.\n   *\n   * @default false\n   */\n  strictJsonSchema: z.boolean().optional(),\n  /**\n   * Whether to enable parallel function calling during tool use.\n   * When set to false, the model will use at most one tool per response.\n   *\n   * @default true\n   */\n  parallelToolCalls: z.boolean().optional(),\n  /**\n   * Controls the reasoning effort for models that support adjustable reasoning.\n   *\n   * - `'high'`: Enable reasoning\n   * - `'none'`: Disable reasoning\n   */\n  reasoningEffort: z.enum([\"high\", \"none\"]).optional(),\n  promptCacheKey: z.string().optional()\n});\n\n// src/mistral-error.ts\nimport { createJsonErrorResponseHandler } from \"@ai-sdk/provider-utils\";\nimport { z as z2 } from \"zod/v4\";\nvar mistralErrorDataSchema = z2.object({\n  object: z2.literal(\"error\"),\n  message: z2.string(),\n  type: z2.string(),\n  param: z2.string().nullable(),\n  code: z2.string().nullable()\n});\nvar mistralFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: mistralErrorDataSchema,\n  errorToMessage: (data) => data.message\n});\n\n// src/mistral-prepare-tools.ts\nimport {\n  UnsupportedFunctionalityError as UnsupportedFunctionalityError2\n} from \"@ai-sdk/provider\";\nfunction prepareTools({\n  tools,\n  toolChoice\n}) {\n  tools = (tools == null ? void 0 : tools.length) ? tools : void 0;\n  const toolWarnings = [];\n  if (tools == null) {\n    return { tools: void 0, toolChoice: void 0, toolWarnings };\n  }\n  const mistralTools = [];\n  for (const tool of tools) {\n    if (tool.type === \"provider\") {\n      toolWarnings.push({\n        type: \"unsupported\",\n        feature: `provider-defined tool ${tool.id}`\n      });\n    } else {\n      mistralTools.push({\n        type: \"function\",\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema,\n          ...tool.strict != null ? { strict: tool.strict } : {}\n        }\n      });\n    }\n  }\n  if (toolChoice == null) {\n    return { tools: mistralTools, toolChoice: void 0, toolWarnings };\n  }\n  const type = toolChoice.type;\n  switch (type) {\n    case \"auto\":\n    case \"none\":\n      return { tools: mistralTools, toolChoice: type, toolWarnings };\n    case \"required\":\n      return { tools: mistralTools, toolChoice: \"any\", toolWarnings };\n    // mistral does not support tool mode directly,\n    // so we filter the tools and force the tool choice through 'any'\n    case \"tool\":\n      return {\n        tools: mistralTools.filter(\n          (tool) => tool.function.name === toolChoice.toolName\n        ),\n        toolChoice: \"any\",\n        toolWarnings\n      };\n    default: {\n      const _exhaustiveCheck = type;\n      throw new UnsupportedFunctionalityError2({\n        functionality: `tool choice type: ${_exhaustiveCheck}`\n      });\n    }\n  }\n}\n\n// src/mistral-chat-language-model.ts\nvar MistralChatLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.supportedUrls = {\n      \"application/pdf\": [/^https:\\/\\/.*$/]\n    };\n    var _a;\n    this.modelId = modelId;\n    this.config = config;\n    this.generateId = (_a = config.generateId) != null ? _a : generateId;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    providerOptions,\n    tools,\n    toolChoice\n  }) {\n    var _a, _b, _c, _d;\n    const warnings = [];\n    const options = (_a = await parseProviderOptions({\n      provider: \"mistral\",\n      providerOptions,\n      schema: mistralLanguageModelOptions\n    })) != null ? _a : {};\n    if (topK != null) {\n      warnings.push({ type: \"unsupported\", feature: \"topK\" });\n    }\n    const structuredOutputs = (_b = options.structuredOutputs) != null ? _b : true;\n    const strictJsonSchema = (_c = options.strictJsonSchema) != null ? _c : false;\n    if ((responseFormat == null ? void 0 : responseFormat.type) === \"json\" && !(responseFormat == null ? void 0 : responseFormat.schema)) {\n      prompt = injectJsonInstructionIntoMessages({\n        messages: prompt,\n        schema: responseFormat.schema\n      });\n    }\n    const baseArgs = {\n      // model id:\n      model: this.modelId,\n      // model specific settings:\n      safe_prompt: options.safePrompt,\n      // standardized settings:\n      max_tokens: maxOutputTokens,\n      temperature,\n      top_p: topP,\n      ...frequencyPenalty != null ? { frequency_penalty: frequencyPenalty } : {},\n      ...presencePenalty != null ? { presence_penalty: presencePenalty } : {},\n      stop: stopSequences,\n      random_seed: seed,\n      reasoning_effort: options.reasoningEffort,\n      prompt_cache_key: options.promptCacheKey,\n      // response format:\n      response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? structuredOutputs && (responseFormat == null ? void 0 : responseFormat.schema) != null ? {\n        type: \"json_schema\",\n        json_schema: {\n          schema: responseFormat.schema,\n          strict: strictJsonSchema,\n          name: (_d = responseFormat.name) != null ? _d : \"response\",\n          description: responseFormat.description\n        }\n      } : { type: \"json_object\" } : void 0,\n      // mistral-specific provider options:\n      document_image_limit: options.documentImageLimit,\n      document_page_limit: options.documentPageLimit,\n      // messages:\n      messages: convertToMistralChatMessages(prompt)\n    };\n    const {\n      tools: mistralTools,\n      toolChoice: mistralToolChoice,\n      toolWarnings\n    } = prepareTools({\n      tools,\n      toolChoice\n    });\n    return {\n      args: {\n        ...baseArgs,\n        tools: mistralTools,\n        tool_choice: mistralToolChoice,\n        ...mistralTools != null && options.parallelToolCalls !== void 0 ? { parallel_tool_calls: options.parallelToolCalls } : {}\n      },\n      warnings: [...warnings, ...toolWarnings]\n    };\n  }\n  async doGenerate(options) {\n    var _a;\n    const { args: body, warnings } = await this.getArgs(options);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        mistralChatResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const choice = response.choices[0];\n    const content = [];\n    if (choice.message.content != null && Array.isArray(choice.message.content)) {\n      for (const part of choice.message.content) {\n        if (part.type === \"thinking\") {\n          const reasoningText = extractReasoningContent(part.thinking);\n          content.push({\n            type: \"reasoning\",\n            text: reasoningText,\n            providerMetadata: { mistral: { thinking: part } }\n          });\n        } else if (part.type === \"text\") {\n          if (part.text.length > 0) {\n            content.push({ type: \"text\", text: part.text });\n          }\n        }\n      }\n    } else {\n      const text = extractTextContent(choice.message.content);\n      if (text != null && text.length > 0) {\n        content.push({ type: \"text\", text });\n      }\n    }\n    if (choice.message.tool_calls != null) {\n      for (const toolCall of choice.message.tool_calls) {\n        content.push({\n          type: \"tool-call\",\n          toolCallId: toolCall.id,\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments\n        });\n      }\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapMistralFinishReason(choice.finish_reason),\n        raw: (_a = choice.finish_reason) != null ? _a : void 0\n      },\n      usage: convertMistralUsage(response.usage),\n      request: { body },\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = await this.getArgs(options);\n    const body = { ...args, stream: true };\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        mistralChatChunkSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    let isFirstChunk = true;\n    let activeText = false;\n    let activeReasoningId = null;\n    let activeThinking = null;\n    const generateId2 = this.generateId;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            if (isFirstChunk) {\n              isFirstChunk = false;\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value)\n              });\n            }\n            if (value.usage != null) {\n              usage = value.usage;\n            }\n            const choice = value.choices[0];\n            const delta = choice.delta;\n            const textContent = extractTextContent(delta.content);\n            if (delta.content != null && Array.isArray(delta.content)) {\n              for (const part of delta.content) {\n                if (part.type === \"thinking\") {\n                  const reasoningDelta = extractReasoningContent(part.thinking);\n                  activeThinking = mergeThinking(activeThinking, part);\n                  if (activeReasoningId == null) {\n                    if (activeText) {\n                      controller.enqueue({ type: \"text-end\", id: \"0\" });\n                      activeText = false;\n                    }\n                    activeReasoningId = generateId2();\n                    controller.enqueue({\n                      type: \"reasoning-start\",\n                      id: activeReasoningId\n                    });\n                  }\n                  if (reasoningDelta.length > 0) {\n                    controller.enqueue({\n                      type: \"reasoning-delta\",\n                      id: activeReasoningId,\n                      delta: reasoningDelta\n                    });\n                  }\n                }\n              }\n            }\n            if (textContent != null && textContent.length > 0) {\n              if (!activeText) {\n                if (activeReasoningId != null) {\n                  controller.enqueue({\n                    type: \"reasoning-end\",\n                    id: activeReasoningId,\n                    providerMetadata: { mistral: { thinking: activeThinking } }\n                  });\n                  activeReasoningId = null;\n                  activeThinking = null;\n                }\n                controller.enqueue({ type: \"text-start\", id: \"0\" });\n                activeText = true;\n              }\n              controller.enqueue({\n                type: \"text-delta\",\n                id: \"0\",\n                delta: textContent\n              });\n            }\n            if ((delta == null ? void 0 : delta.tool_calls) != null) {\n              for (const toolCall of delta.tool_calls) {\n                const toolCallId = toolCall.id;\n                const toolName = toolCall.function.name;\n                const input = toolCall.function.arguments;\n                controller.enqueue({\n                  type: \"tool-input-start\",\n                  id: toolCallId,\n                  toolName\n                });\n                controller.enqueue({\n                  type: \"tool-input-delta\",\n                  id: toolCallId,\n                  delta: input\n                });\n                controller.enqueue({\n                  type: \"tool-input-end\",\n                  id: toolCallId\n                });\n                controller.enqueue({\n                  type: \"tool-call\",\n                  toolCallId,\n                  toolName,\n                  input\n                });\n              }\n            }\n            if (choice.finish_reason != null) {\n              finishReason = {\n                unified: mapMistralFinishReason(choice.finish_reason),\n                raw: choice.finish_reason\n              };\n            }\n          },\n          flush(controller) {\n            if (activeReasoningId != null) {\n              controller.enqueue({\n                type: \"reasoning-end\",\n                id: activeReasoningId,\n                providerMetadata: { mistral: { thinking: activeThinking } }\n              });\n            }\n            if (activeText) {\n              controller.enqueue({ type: \"text-end\", id: \"0\" });\n            }\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertMistralUsage(usage)\n            });\n          }\n        })\n      ),\n      request: { body },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nfunction extractReasoningContent(thinking) {\n  return thinking.filter((chunk) => chunk.type === \"text\").map((chunk) => chunk.text).join(\"\");\n}\nfunction mergeThinking(current, next) {\n  if (current === null) return { ...next, thinking: [...next.thinking] };\n  current.thinking.push(...next.thinking);\n  if (next.closed !== void 0) current.closed = next.closed;\n  if (next.signature !== void 0) current.signature = next.signature;\n  return current;\n}\nfunction extractTextContent(content) {\n  if (typeof content === \"string\") {\n    return content;\n  }\n  if (content == null) {\n    return void 0;\n  }\n  const textContent = [];\n  for (const chunk of content) {\n    const { type } = chunk;\n    switch (type) {\n      case \"text\":\n        textContent.push(chunk.text);\n        break;\n      case \"thinking\":\n      case \"image_url\":\n      case \"reference\":\n        break;\n      default: {\n        const _exhaustiveCheck = type;\n        throw new Error(`Unsupported type: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return textContent.length ? textContent.join(\"\") : void 0;\n}\nvar mistralThinkingContentSchema = z3.discriminatedUnion(\"type\", [\n  z3.object({\n    type: z3.literal(\"text\"),\n    text: z3.string()\n  }),\n  z3.object({\n    type: z3.literal(\"tool_reference\"),\n    tool: z3.string(),\n    title: z3.string(),\n    url: z3.string().nullish(),\n    favicon: z3.string().nullish(),\n    description: z3.string().nullish()\n  }),\n  z3.object({\n    type: z3.literal(\"reference\"),\n    reference_ids: z3.array(z3.union([z3.string(), z3.number().int()]))\n  })\n]);\nvar mistralThinkChunkSchema = z3.object({\n  type: z3.literal(\"thinking\"),\n  thinking: z3.array(mistralThinkingContentSchema),\n  closed: z3.boolean().optional(),\n  signature: z3.string().nullish()\n});\nvar mistralContentSchema = z3.union([\n  z3.string(),\n  z3.array(\n    z3.discriminatedUnion(\"type\", [\n      z3.object({\n        type: z3.literal(\"text\"),\n        text: z3.string()\n      }),\n      z3.object({\n        type: z3.literal(\"image_url\"),\n        image_url: z3.union([\n          z3.string(),\n          z3.object({\n            url: z3.string(),\n            detail: z3.string().nullable()\n          })\n        ])\n      }),\n      z3.object({\n        type: z3.literal(\"reference\"),\n        reference_ids: z3.array(z3.union([z3.string(), z3.number()]))\n      }),\n      mistralThinkChunkSchema\n    ])\n  )\n]).nullish();\nvar mistralUsageSchema = z3.object({\n  prompt_tokens: z3.number(),\n  completion_tokens: z3.number(),\n  total_tokens: z3.number(),\n  num_cached_tokens: z3.number().nullish(),\n  prompt_tokens_details: z3.object({ cached_tokens: z3.number().nullish() }).nullish(),\n  prompt_token_details: z3.object({ cached_tokens: z3.number().nullish() }).nullish()\n});\nvar mistralChatResponseSchema = z3.object({\n  id: z3.string().nullish(),\n  created: z3.number().nullish(),\n  model: z3.string().nullish(),\n  choices: z3.array(\n    z3.object({\n      message: z3.object({\n        role: z3.literal(\"assistant\"),\n        content: mistralContentSchema,\n        tool_calls: z3.array(\n          z3.object({\n            id: z3.string(),\n            function: z3.object({ name: z3.string(), arguments: z3.string() })\n          })\n        ).nullish()\n      }),\n      index: z3.number(),\n      finish_reason: z3.string().nullish()\n    })\n  ),\n  object: z3.literal(\"chat.completion\"),\n  usage: mistralUsageSchema\n});\nvar mistralChatChunkSchema = z3.object({\n  id: z3.string().nullish(),\n  created: z3.number().nullish(),\n  model: z3.string().nullish(),\n  choices: z3.array(\n    z3.object({\n      delta: z3.object({\n        role: z3.enum([\"assistant\"]).optional(),\n        content: mistralContentSchema,\n        tool_calls: z3.array(\n          z3.object({\n            id: z3.string(),\n            function: z3.object({ name: z3.string(), arguments: z3.string() })\n          })\n        ).nullish()\n      }),\n      finish_reason: z3.string().nullish(),\n      index: z3.number()\n    })\n  ),\n  usage: mistralUsageSchema.nullish()\n});\n\n// src/mistral-embedding-model.ts\nimport {\n  TooManyEmbeddingValuesForCallError\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders as combineHeaders2,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  postJsonToApi as postJsonToApi2\n} from \"@ai-sdk/provider-utils\";\nimport { z as z4 } from \"zod/v4\";\nvar MistralEmbeddingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.maxEmbeddingsPerCall = 32;\n    this.supportsParallelCalls = false;\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doEmbed({\n    values,\n    abortSignal,\n    headers\n  }) {\n    if (values.length > this.maxEmbeddingsPerCall) {\n      throw new TooManyEmbeddingValuesForCallError({\n        provider: this.provider,\n        modelId: this.modelId,\n        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,\n        values\n      });\n    }\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi2({\n      url: `${this.config.baseURL}/embeddings`,\n      headers: combineHeaders2(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        input: values,\n        encoding_format: \"float\"\n      },\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler2(\n        MistralTextEmbeddingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      warnings: [],\n      embeddings: response.data.map((item) => item.embedding),\n      usage: response.usage ? { tokens: response.usage.prompt_tokens } : void 0,\n      response: { headers: responseHeaders, body: rawValue }\n    };\n  }\n};\nvar MistralTextEmbeddingResponseSchema = z4.object({\n  data: z4.array(z4.object({ embedding: z4.array(z4.number()) })),\n  usage: z4.object({ prompt_tokens: z4.number() }).nullish()\n});\n\n// src/mistral-speech-model.ts\nimport {\n  combineHeaders as combineHeaders3,\n  createJsonResponseHandler as createJsonResponseHandler3,\n  parseProviderOptions as parseProviderOptions2,\n  postToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z as z6 } from \"zod/v4\";\n\n// src/mistral-speech-model-options.ts\nimport { z as z5 } from \"zod/v4\";\nvar mistralSpeechModelOptions = z5.object({\n  /**\n   * Base64-encoded reference audio for one-off voice cloning.\n   *\n   * When provided, this takes precedence over the standard `voice` option.\n   */\n  refAudio: z5.string().min(1).optional()\n});\n\n// src/mistral-speech-model.ts\nvar MistralSpeechModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async getArgs({\n    text,\n    voice,\n    outputFormat = \"mp3\",\n    instructions,\n    speed,\n    language,\n    providerOptions\n  }) {\n    const warnings = [];\n    const mistralOptions = await parseProviderOptions2({\n      provider: \"mistral\",\n      providerOptions,\n      schema: mistralSpeechModelOptions\n    });\n    let responseFormat = \"mp3\";\n    if ([\"pcm\", \"wav\", \"mp3\", \"flac\", \"opus\"].includes(outputFormat)) {\n      responseFormat = outputFormat;\n    } else {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"outputFormat\",\n        details: `Unsupported output format: ${outputFormat}. Using mp3 instead.`\n      });\n    }\n    if (instructions != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"instructions\",\n        details: \"Mistral speech models do not support the `instructions` option. Use a reference audio clip to guide delivery.\"\n      });\n    }\n    if (speed != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"speed\",\n        details: \"Mistral speech models do not support the `speed` option. It was ignored.\"\n      });\n    }\n    if (language != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"language\",\n        details: \"Mistral speech models do not support the `language` option. Language is inferred from the input text and voice.\"\n      });\n    }\n    const refAudio = mistralOptions == null ? void 0 : mistralOptions.refAudio;\n    const requestBody = {\n      model: this.modelId,\n      input: text,\n      voice_id: refAudio == null ? voice : void 0,\n      ref_audio: refAudio,\n      response_format: responseFormat,\n      stream: false\n    };\n    const requestBodyValues = {\n      ...requestBody,\n      ref_audio: refAudio == null ? void 0 : \"[redacted]\"\n    };\n    return { requestBody, requestBodyValues, warnings };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e;\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    const { requestBody, requestBodyValues, warnings } = await this.getArgs(options);\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse\n    } = await postToApi({\n      url: `${this.config.baseURL}/audio/speech`,\n      headers: combineHeaders3(\n        { \"Content-Type\": \"application/json\" },\n        (_e = (_d = this.config).headers) == null ? void 0 : _e.call(_d),\n        options.headers\n      ),\n      body: {\n        content: JSON.stringify(requestBody),\n        values: requestBodyValues\n      },\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler3(\n        mistralSpeechResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      audio: response.audio_data,\n      warnings,\n      request: {\n        body: JSON.stringify(requestBodyValues)\n      },\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n        body: rawResponse\n      }\n    };\n  }\n};\nvar mistralSpeechResponseSchema = z6.object({\n  audio_data: z6.string()\n});\n\n// src/version.ts\nvar VERSION = true ? \"3.0.51\" : \"0.0.0-test\";\n\n// src/mistral-provider.ts\nfunction createMistral(options = {}) {\n  var _a;\n  const baseURL = (_a = withoutTrailingSlash(options.baseURL)) != null ? _a : \"https://api.mistral.ai/v1\";\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"MISTRAL_API_KEY\",\n        description: \"Mistral\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/mistral/${VERSION}`\n  );\n  const createChatModel = (modelId) => new MistralChatLanguageModel(modelId, {\n    provider: \"mistral.chat\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch,\n    generateId: options.generateId\n  });\n  const createEmbeddingModel = (modelId) => new MistralEmbeddingModel(modelId, {\n    provider: \"mistral.embedding\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createSpeechModel = (modelId) => new MistralSpeechModel(modelId, {\n    provider: \"mistral.speech\",\n    baseURL,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const provider = function(modelId) {\n    if (new.target) {\n      throw new Error(\n        \"The Mistral model function cannot be called with the new keyword.\"\n      );\n    }\n    return createChatModel(modelId);\n  };\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createChatModel;\n  provider.chat = createChatModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.speech = createSpeechModel;\n  provider.speechModel = createSpeechModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar mistral = createMistral();\nexport {\n  VERSION,\n  createMistral,\n  mistral\n};\n//# sourceMappingURL=index.mjs.map"
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-  "debugId": "59AF47D33D3113B264756E2164756E21",
-  "names": []
-}

bin/chunk-mjy18c9g.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/debug/agents.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.debug.commands.agents,\n  Effect.fn(\"cli.debug.agents\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.agent.list({ location: { directory: process.cwd() } }))\n    process.stdout.write(\n      JSON.stringify(\n        response.data.toSorted((a, b) => a.id.localeCompare(b.id)),\n        null,\n        2,\n      ) + EOL,\n    )\n  }),\n)\n"
-  ],
-  "mappings": ";83BAAA,mBAAS,gBAQT,SAAe,SAAQ,aACrB,OAAS,cAAS,WAAM,cAAS,YACjC,OAAO,QAAG,uBAAkB,OAAE,cAAU,OAAG,MACzC,SAAM,OAAU,WAAO,OAAc,aAAQ,OAEvC,GADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EACpF,EAAW,MAAO,EAAO,QAAQ,IAAM,EAAO,MAAM,KAAK,CAAE,SAAU,CAAE,UAAW,QAAQ,IAAI,CAAE,CAAE,CAAC,CAAC,EAC1G,QAAQ,OAAO,MACb,KAAK,UACH,EAAS,KAAK,SAAS,CAAC,EAAG,IAAM,EAAE,GAAG,cAAc,EAAE,EAAE,CAAC,EACzD,KACA,CACF,EAAI,CACN,EACD,CACH",
-  "debugId": "DC1E8E4F50442EE464756E2164756E21",
-  "names": []
-}

bin/chunk-mne8pd93.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/mini/runtime.queue.ts"],
-  "sourcesContent": [
-    "// Serial prompt queue for direct interactive mode.\n//\n// Prompts arrive from the footer (user types and hits enter) and local\n// operations drain one at a time. Ordinary prompts submitted during an active\n// ordinary turn are admitted immediately to the server's durable queue.\n//\n// The queue also handles local session commands, empty-prompt rejection,\n// and tracks per-turn wall-clock duration for the footer status line.\n//\n// Resolves when the footer closes and all in-flight work finishes.\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { Locale } from \"../util/locale\"\nimport { isCompactCommand, isExitCommand, isNewCommand } from \"./prompt.shared\"\nimport type { FooterApi, FooterEvent, RunPrompt } from \"./types\"\n\ntype Trace = {\n  write(type: string, data?: unknown): void\n}\n\nexport type QueueInput = {\n  footer: FooterApi\n  initialInput?: string\n  trace?: Trace\n  onSend?: (prompt: RunPrompt, delivery: \"steer\" | \"queue\") => void\n  onAdmissionError?: (prompt: RunPrompt, error: unknown) => void | Promise<void>\n  onNewSession?: () => void | Promise<void>\n  onCompact?: () => void | Promise<void>\n  admit: (prompt: RunPrompt, signal: AbortSignal) => Promise<void>\n  settle: () => Promise<void>\n  run: (prompt: RunPrompt, signal: AbortSignal, admitted: () => void) => Promise<void>\n}\n\ntype State = {\n  queue: RunPrompt[]\n  active?: RunPrompt\n  admission?: Promise<void>\n  ctrl?: AbortController\n  closed: boolean\n}\n\n// Runs the prompt queue until the footer closes.\n//\n// Subscribes to footer prompt events and drains operations through input.run().\n// Ordinary prompts submitted during an ordinary active turn are admitted as\n// durable queued work instead of remaining editable process-local state.\nexport async function runPromptQueue(input: QueueInput): Promise<void> {\n  const stop = Promise.withResolvers<{ type: \"closed\" }>()\n  const done = Promise.withResolvers<void>()\n  const state: State = {\n    queue: [],\n    closed: input.footer.isClosed,\n  }\n  let draining: Promise<void> | undefined\n  let admissions = Promise.resolve()\n  let admissionVersion = 0\n  const admissionController = new AbortController()\n\n  const emit = (next: FooterEvent, row: Record<string, unknown>) => {\n    input.trace?.write(\"ui.patch\", row)\n    input.footer.event(next)\n  }\n\n  const finish = () => {\n    if (!state.closed || draining) {\n      return\n    }\n\n    done.resolve()\n  }\n\n  const close = () => {\n    if (state.closed) {\n      return\n    }\n\n    state.closed = true\n    state.queue.length = 0\n    // Ordinary turn signals map to session.interrupt; exiting should only detach the TUI.\n    if (state.active?.mode === \"shell\") state.ctrl?.abort()\n    admissionController.abort()\n    stop.resolve({ type: \"closed\" })\n    finish()\n  }\n\n  const drain = () => {\n    if (draining || state.closed || state.queue.length === 0) {\n      return\n    }\n\n    draining = (async () => {\n      try {\n        while (!state.closed && state.queue.length > 0) {\n          const prompt = state.queue.shift()!\n\n          if (prompt.mode !== \"shell\" && isNewCommand(prompt.text)) {\n            if (!input.onNewSession) {\n              emit(\n                {\n                  type: \"stream.patch\",\n                  patch: {\n                    status: \"new sessions unavailable\",\n                  },\n                },\n                {\n                  status: \"new sessions unavailable\",\n                },\n              )\n              continue\n            }\n\n            emit(\n              {\n                type: \"stream.patch\",\n                patch: {\n                  phase: \"running\",\n                  status: \"starting new session\",\n                },\n              },\n              {\n                phase: \"running\",\n                status: \"starting new session\",\n              },\n            )\n            await input.onNewSession()\n            continue\n          }\n\n          if (prompt.mode !== \"shell\" && isCompactCommand(prompt.text)) {\n            emit(\n              {\n                type: \"stream.patch\",\n                patch: {\n                  phase: \"running\",\n                  status: \"compacting session\",\n                },\n              },\n              {\n                phase: \"running\",\n                status: \"compacting session\",\n              },\n            )\n            await input.onCompact?.()\n            continue\n          }\n\n          const sent =\n            prompt.mode === \"shell\"\n              ? prompt\n              : {\n                  ...prompt,\n                  messageID: prompt.messageID ?? SessionMessage.ID.create(),\n                }\n          state.active = sent\n\n          emit(\n            { type: \"turn.send\" },\n            {\n              phase: \"running\",\n              status: \"sending prompt\",\n            },\n          )\n          const start = Date.now()\n          const ctrl = new AbortController()\n          const admission = Promise.withResolvers<void>()\n          const version = admissionVersion\n          state.ctrl = ctrl\n          state.admission = admission.promise\n\n          try {\n            await input.footer.idle()\n            if (state.closed) {\n              break\n            }\n\n            if (sent.mode !== \"shell\") {\n              const commit = {\n                kind: \"user\",\n                text: sent.text,\n                phase: \"start\",\n                source: \"system\",\n                messageID: sent.messageID,\n              } as const\n              input.trace?.write(\"ui.commit\", commit)\n              input.footer.append(commit)\n            }\n            input.onSend?.(sent, \"steer\")\n\n            if (state.closed) {\n              break\n            }\n\n            const task = input.run(sent, ctrl.signal, admission.resolve).then(\n              () => ({ type: \"done\" as const }),\n              (error) => ({ type: \"error\" as const, error }),\n            )\n\n            const next = await Promise.race([task, stop.promise])\n            if (next.type === \"closed\") {\n              break\n            }\n\n            if (next.type === \"error\") {\n              throw next.error\n            }\n            if (sent.mode !== \"shell\" && admissionVersion !== version) {\n              do {\n                const current = admissionVersion\n                await admissions\n                if (state.closed) break\n                await input.settle()\n                if (current === admissionVersion) break\n              } while (!state.closed)\n            }\n          } finally {\n            admission.resolve()\n            if (state.ctrl === ctrl) {\n              state.ctrl = undefined\n            }\n            if (state.admission === admission.promise) state.admission = undefined\n\n            if (sent.mode !== \"shell\") {\n              const duration = Locale.duration(Math.max(0, Date.now() - start))\n              emit(\n                {\n                  type: \"turn.duration\",\n                  duration,\n                },\n                {\n                  duration,\n                },\n              )\n            }\n            state.active = undefined\n          }\n        }\n      } catch (error) {\n        done.reject(error)\n        return\n      } finally {\n        draining = undefined\n        emit(\n          { type: \"turn.idle\" },\n          {\n            phase: \"idle\",\n            status: \"\",\n          },\n        )\n      }\n\n      finish()\n    })()\n  }\n\n  const submit = (prompt: RunPrompt) => {\n    if (!prompt.text.trim() || state.closed) {\n      return\n    }\n\n    if (prompt.mode !== \"shell\" && isExitCommand(prompt.text)) {\n      input.footer.close()\n      return\n    }\n\n    const active = state.active\n    if (\n      active &&\n      active.mode !== \"shell\" &&\n      prompt.mode !== \"shell\" &&\n      prompt.command?.source !== \"skill\" &&\n      !isNewCommand(prompt.text) &&\n      !isCompactCommand(prompt.text) &&\n      !state.queue.some(\n        (item) => item.mode !== \"shell\" && (isNewCommand(item.text) || isCompactCommand(item.text)),\n      )\n    ) {\n      const sent = { ...prompt, messageID: SessionMessage.ID.create() }\n      const admission = state.admission\n      admissionVersion += 1\n      input.onSend?.(sent, \"queue\")\n      admissions = admissions\n        .then(() => admission)\n        .then(() => input.admit(sent, admissionController.signal))\n        .catch((error) => (state.closed ? undefined : input.onAdmissionError?.(sent, error)))\n      return\n    }\n\n    state.queue.push(prompt)\n    if (prompt.mode !== \"shell\" && (isNewCommand(prompt.text) || isCompactCommand(prompt.text))) {\n      drain()\n      return\n    }\n\n    emit(\n      {\n        type: \"first\",\n        first: false,\n      },\n      {\n        first: false,\n      },\n    )\n    drain()\n  }\n\n  const offPrompt = input.footer.onPrompt((prompt) => {\n    submit(prompt)\n  })\n  const offClose = input.footer.onClose(() => {\n    close()\n  })\n  try {\n    if (state.closed) {\n      return\n    }\n\n    submit({\n      text: input.initialInput ?? \"\",\n      parts: [],\n    })\n    finish()\n    await done.promise\n  } finally {\n    offPrompt()\n    offClose()\n    close()\n    await draining?.catch(() => {})\n    await admissions\n  }\n}\n"
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-}

bin/chunk-msnyydrv.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/@ai-sdk+cerebras@2.0.41+d6123d32214422cb/node_modules/@ai-sdk/cerebras/dist/index.mjs"],
-  "sourcesContent": [
-    "// src/cerebras-provider.ts\nimport { OpenAICompatibleChatLanguageModel } from \"@ai-sdk/openai-compatible\";\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\n\n// src/version.ts\nvar VERSION = true ? \"2.0.41\" : \"0.0.0-test\";\n\n// src/cerebras-provider.ts\nvar cerebrasErrorSchema = z.object({\n  message: z.string(),\n  type: z.string(),\n  param: z.string(),\n  code: z.string()\n});\nvar cerebrasErrorStructure = {\n  errorSchema: cerebrasErrorSchema,\n  errorToMessage: (data) => data.message\n};\nfunction createCerebras(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.cerebras.ai/v1\"\n  );\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"CEREBRAS_API_KEY\",\n        description: \"Cerebras API key\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/cerebras/${VERSION}`\n  );\n  const createLanguageModel = (modelId) => {\n    return new OpenAICompatibleChatLanguageModel(modelId, {\n      provider: `cerebras.chat`,\n      url: ({ path }) => `${baseURL}${path}`,\n      headers: getHeaders,\n      fetch: options.fetch,\n      errorStructure: cerebrasErrorStructure,\n      supportsStructuredOutputs: true\n    });\n  };\n  const provider = (modelId) => createLanguageModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createLanguageModel;\n  provider.chat = createLanguageModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar cerebras = createCerebras();\nexport {\n  VERSION,\n  cerebras,\n  createCerebras\n};\n//# sourceMappingURL=index.mjs.map"
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bin/chunk-mtzrxqk9.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/status.ts"],
-  "sourcesContent": [
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-  "names": []
-}

bin/chunk-mxr4qtwj.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/mini/prompt.shared.ts"],
-  "sourcesContent": [
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bin/chunk-n0s3npmt.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/open-responses-options.ts", "../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"],
-  "sourcesContent": [
-    "import { Schema } from \"effect\"\nimport { TextVerbosity, type LLMRequest } from \"../../schema\"\n\nexport const ResponseIncludables = [\n  \"file_search_call.results\",\n  \"web_search_call.results\",\n  \"web_search_call.action.sources\",\n  \"message.input_image.image_url\",\n  \"computer_call_output.output.image_url\",\n  \"code_interpreter_call.outputs\",\n  \"reasoning.encrypted_content\",\n  \"message.output_text.logprobs\",\n] as const\nexport type ResponseIncludable = (typeof ResponseIncludables)[number]\n\nexport const ServiceTiers = [\"auto\", \"default\", \"flex\", \"priority\"] as const\nexport type ServiceTier = (typeof ServiceTiers)[number]\n\nconst TEXT_VERBOSITY = new Set<string>([\"low\", \"medium\", \"high\"])\nconst INCLUDABLES = new Set<string>(ResponseIncludables)\nconst SERVICE_TIERS = new Set<string>(ServiceTiers)\n\nconst isTextVerbosity = (value: unknown): value is Schema.Schema.Type<typeof TextVerbosity> =>\n  typeof value === \"string\" && TEXT_VERBOSITY.has(value)\n\nconst isServiceTier = (value: unknown): value is ServiceTier => typeof value === \"string\" && SERVICE_TIERS.has(value)\n\nexport const ReasoningEffort = Schema.String\nexport const TextVerbositySchema = TextVerbosity\nexport const ResponseIncludableSchema = Schema.Literals(ResponseIncludables)\nexport const ServiceTierSchema = Schema.Literals(ServiceTiers)\n\nexport interface Resolved {\n  readonly instructions?: string\n  readonly store?: boolean\n  readonly promptCacheKey?: string\n  readonly reasoningEffort?: string\n  readonly reasoningSummary?: \"auto\" | \"concise\" | \"detailed\"\n  readonly include?: ReadonlyArray<ResponseIncludable>\n  readonly textVerbosity?: Schema.Schema.Type<typeof TextVerbosity>\n  readonly serviceTier?: ServiceTier\n}\n\nexport const resolve = (request: LLMRequest): Resolved => {\n  const input = request.providerOptions?.[request.model.route.providerMetadataKey ?? \"openresponses\"]\n  const include = Array.isArray(input?.include)\n    ? input.include.filter((entry): entry is ResponseIncludable => INCLUDABLES.has(entry))\n    : []\n  const reasoningSummary = input?.reasoningSummary\n  return {\n    instructions: typeof input?.instructions === \"string\" ? input.instructions : undefined,\n    store: typeof input?.store === \"boolean\" ? input.store : undefined,\n    promptCacheKey: typeof input?.promptCacheKey === \"string\" ? input.promptCacheKey : undefined,\n    reasoningEffort: typeof input?.reasoningEffort === \"string\" ? input.reasoningEffort : undefined,\n    reasoningSummary:\n      reasoningSummary === \"auto\" || reasoningSummary === \"concise\" || reasoningSummary === \"detailed\"\n        ? reasoningSummary\n        : undefined,\n    include: include.length > 0 ? include : undefined,\n    textVerbosity: isTextVerbosity(input?.textVerbosity) ? input.textVerbosity : undefined,\n    serviceTier: isServiceTier(input?.serviceTier) ? input.serviceTier : undefined,\n  }\n}\n\nexport * as OpenResponsesOptions from \"./open-responses-options\"\n",
-    "import { ReasoningEfforts } from \"../../schema\"\nimport { OpenResponsesOptions } from \"./open-responses-options\"\n\nexport const OpenAIReasoningEfforts = ReasoningEfforts\nexport type OpenAIReasoningEffort = string\n\n// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this\n// in lockstep with `openai-node/src/resources/responses/responses.ts`.\nexport const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables\nexport type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable\nexport const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers\nexport type OpenAIServiceTier = OpenResponsesOptions.ServiceTier\n\nexport const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosity = OpenResponsesOptions.TextVerbositySchema\nexport const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema\nexport const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema\n\nexport const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === \"string\"\n\nexport const resolve = OpenResponsesOptions.resolve\n\nexport * as OpenAIOptions from \"./openai-options\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { HttpTransport } from \"../route/transport\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMError,\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type FinishReasonDetails,\n  type CacheHint,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ReasoningPart,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n} from \"../schema\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { OpenAIOptions } from \"./utils/openai-options\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"openai-chat\"\nconst IMAGE_MIMES = new Set<string>(ProviderShared.IMAGE_MIMES)\nconst RESERVED_REASONING_FIELDS = new Set([\"role\", \"content\", \"tool_calls\"])\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/chat/completions\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\n// The body schema is the provider-native JSON body. `fromRequest` below builds\n// this shape from the common `LLMRequest`, then `Route.make` validates and\n// JSON-encodes it before transport.\nconst OpenAIChatCacheControl = Schema.Struct({\n  type: Schema.Literal(\"ephemeral\"),\n  ttl: Schema.optional(Schema.String),\n})\n\nconst OpenAIChatFunction = Schema.Struct({\n  name: Schema.String,\n  description: Schema.String,\n  parameters: JsonObject,\n})\n\nconst OpenAIChatTool = Schema.Struct({\n  type: Schema.tag(\"function\"),\n  function: OpenAIChatFunction,\n  cache_control: Schema.optional(OpenAIChatCacheControl),\n})\ntype OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>\n\nconst OpenAIChatAssistantToolCall = Schema.Struct({\n  id: Schema.String,\n  type: Schema.tag(\"function\"),\n  function: Schema.Struct({\n    name: Schema.String,\n    arguments: Schema.String,\n  }),\n})\ntype OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>\n\nconst OpenAIChatUserContent = Schema.Union([\n  Schema.Struct({\n    type: Schema.Literal(\"text\"),\n    text: Schema.String,\n    cache_control: Schema.optional(OpenAIChatCacheControl),\n  }),\n  Schema.Struct({\n    type: Schema.Literal(\"image_url\"),\n    image_url: Schema.Struct({ url: Schema.String }),\n  }),\n])\n\nconst OpenAIChatMessage = Schema.Union([\n  Schema.Struct({\n    role: Schema.Literal(\"system\"),\n    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n  }),\n  Schema.Struct({\n    role: Schema.Literal(\"user\"),\n    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n  }),\n  Schema.StructWithRest(\n    Schema.Struct({\n      role: Schema.Literal(\"assistant\"),\n      content: Schema.NullOr(Schema.String),\n      tool_calls: optionalArray(OpenAIChatAssistantToolCall),\n      reasoning_content: Schema.optional(Schema.String),\n      reasoning: Schema.optional(Schema.String),\n      reasoning_text: Schema.optional(Schema.String),\n      reasoning_details: Schema.optional(Schema.Unknown),\n      cache_control: Schema.optional(OpenAIChatCacheControl),\n    }),\n    [Schema.Record(Schema.String, Schema.Unknown)],\n  ),\n  Schema.Struct({\n    role: Schema.Literal(\"tool\"),\n    tool_call_id: Schema.String,\n    content: Schema.String,\n    cache_control: Schema.optional(OpenAIChatCacheControl),\n  }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>\n\nconst OpenAIChatToolChoice = Schema.Union([\n  Schema.Literals([\"auto\", \"none\", \"required\"]),\n  Schema.Struct({\n    type: Schema.tag(\"function\"),\n    function: Schema.Struct({ name: Schema.String }),\n  }),\n])\n\nexport const bodyFields = {\n  model: Schema.String,\n  messages: Schema.Array(OpenAIChatMessage),\n  tools: optionalArray(OpenAIChatTool),\n  tool_choice: Schema.optional(OpenAIChatToolChoice),\n  stream: Schema.Literal(true),\n  stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),\n  store: Schema.optional(Schema.Boolean),\n  reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),\n  max_completion_tokens: Schema.optional(Schema.Number),\n  max_tokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  top_p: Schema.optional(Schema.Number),\n  frequency_penalty: Schema.optional(Schema.Number),\n  presence_penalty: Schema.optional(Schema.Number),\n  seed: Schema.optional(Schema.Number),\n  stop: optionalArray(Schema.String),\n}\nconst OpenAIChatBody = Schema.Struct(bodyFields)\nexport type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>\n\n// =============================================================================\n// Streaming Event Schema\n// =============================================================================\n// The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the\n// byte stream into strings, then `Protocol.jsonEvent` decodes each string into\n// this provider-native event shape.\nconst OpenAIChatUsage = Schema.Struct({\n  prompt_tokens: Schema.optional(Schema.Number),\n  completion_tokens: Schema.optional(Schema.Number),\n  total_tokens: Schema.optional(Schema.Number),\n  prompt_tokens_details: optionalNull(\n    Schema.Struct({\n      cached_tokens: Schema.optional(Schema.Number),\n      cache_write_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n  completion_tokens_details: optionalNull(\n    Schema.Struct({\n      reasoning_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n})\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n  name: optionalNull(Schema.String),\n  arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n  index: Schema.Number,\n  id: optionalNull(Schema.String),\n  function: optionalNull(OpenAIChatToolCallDeltaFunction),\n})\ntype OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>\n\nconst OpenAIChatDelta = Schema.StructWithRest(\n  Schema.Struct({\n    content: optionalNull(Schema.String),\n    reasoning_content: optionalNull(Schema.String),\n    reasoning: optionalNull(Schema.String),\n    reasoning_text: optionalNull(Schema.String),\n    reasoning_details: optionalNull(Schema.Unknown),\n    tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatChoice = Schema.Struct({\n  delta: optionalNull(OpenAIChatDelta),\n  finish_reason: optionalNull(Schema.String),\n  native_finish_reason: optionalNull(Schema.String),\n})\n\nconst OpenAIChatError = Schema.Struct({\n  code: optionalNull(Schema.Union([Schema.String, Schema.Number])),\n  message: Schema.String,\n})\n\nexport const OpenAIChatEvent = Schema.Struct({\n  choices: optionalNull(Schema.Array(OpenAIChatChoice)),\n  usage: optionalNull(OpenAIChatUsage),\n  error: optionalNull(OpenAIChatError),\n})\nexport type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>\ntype OpenAIChatRequestMessage = LLMRequest[\"messages\"][number]\n\ninterface PendingToolDelta {\n  readonly id?: string\n  readonly name?: string\n  readonly input: string\n}\n\nexport interface ParserState {\n  readonly tools: ToolStream.State<number>\n  readonly pendingTools: Partial<Record<number, PendingToolDelta>>\n  readonly toolCallEvents: ReadonlyArray<LLMEvent>\n  readonly usage?: Usage\n  readonly finishReason?: FinishReasonDetails\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningField?: string\n  readonly reasoningDetails: Array<unknown>\n  readonly reasoningDetailsObserved: boolean\n  readonly reasoningEmitted: boolean\n}\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Lowering is the only place that knows how common LLM messages map onto the\n// OpenAI Chat wire format. Keep provider quirks here instead of leaking native\n// fields into `LLMRequest`.\ninterface LoweringOptions {\n  readonly cacheControl?: (\n    cache: CacheHint | undefined,\n  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined\n}\n\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema, options: LoweringOptions): OpenAIChatTool => ({\n  type: \"function\",\n  function: {\n    name: tool.name,\n    description: tool.description,\n    parameters: ToolSchemaProjection.openAI(inputSchema),\n  },\n  cache_control: options.cacheControl?.(tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"OpenAI Chat\", toolChoice, {\n    auto: () => \"auto\" as const,\n    none: () => \"none\" as const,\n    required: () => \"required\" as const,\n    tool: (name) => ({ type: \"function\" as const, function: { name } }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({\n  id: part.id,\n  type: \"function\",\n  function: {\n    name: part.name,\n    arguments: ProviderShared.encodeJson(part.input),\n  },\n})\n\nconst lowerMedia = Effect.fn(\"OpenAIChat.lowerMedia\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\"OpenAI Chat\", part, IMAGE_MIMES)\n  return { type: \"image_url\" as const, image_url: { url: media.dataUrl } }\n})\n\nconst openAICompatibleReasoningContent = (native: unknown) =>\n  isRecord(native) && typeof native.reasoning_content === \"string\" ? native.reasoning_content : undefined\n\nconst reasoningField = (part: ReasoningPart) => {\n  const field = part.providerMetadata?.openai?.reasoningField\n  return typeof field === \"string\" ? field : undefined\n}\n\nconst reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown) => {\n  const observed = parts.flatMap((part) => {\n    const details = part.providerMetadata?.openai?.reasoningDetails\n    return Array.isArray(details) ? details : []\n  })\n  if (parts.some((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))) return observed\n  if (isRecord(native) && Array.isArray(native.reasoning_details)) return native.reasoning_details\n}\n\nconst lowerUserMessage = Effect.fn(\"OpenAIChat.lowerUserMessage\")(function* (\n  message: OpenAIChatRequestMessage,\n  options: LoweringOptions,\n) {\n  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n  for (const part of message.content) {\n    if (part.type === \"text\") {\n      content.push({ type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) })\n      continue\n    }\n    if (part.type === \"media\") {\n      content.push(yield* lowerMedia(part))\n      continue\n    }\n    return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"user\", [\"text\", \"media\"])\n  }\n  if (content.every((part) => part.type === \"text\" && part.cache_control === undefined))\n    return {\n      role: \"user\" as const,\n      content: content.map((part) => (part.type === \"text\" ? part.text : \"\")).join(\"\"),\n    }\n  return { role: \"user\" as const, content }\n})\n\nconst lowerAssistantMessage = Effect.fn(\"OpenAIChat.lowerAssistantMessage\")(function* (\n  message: OpenAIChatRequestMessage,\n  configuredField?: string,\n  options: LoweringOptions = {},\n) {\n  const content: TextPart[] = []\n  const reasoning: ReasoningPart[] = []\n  const toolCalls: OpenAIChatAssistantToolCall[] = []\n  for (const part of message.content) {\n    if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n      return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n    if (part.type === \"text\") {\n      content.push(part)\n      continue\n    }\n    if (part.type === \"reasoning\") {\n      reasoning.push(part)\n      continue\n    }\n    if (part.type === \"tool-call\") {\n      toolCalls.push(lowerToolCall(part))\n      continue\n    }\n  }\n  const text = reasoning.map((part) => part.text).join(\"\")\n  const details = reasoningDetails(reasoning, message.native?.openaiCompatible)\n  const observedField = reasoning.map(reasoningField).find((value) => value !== undefined)\n  const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)\n  const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))\n  const field = (() => {\n    if (configuredField !== undefined) return configuredField\n    if (reasoning.length === 0) return undefined\n    if (observedField !== undefined) return observedField\n    if (nativeReasoning !== undefined) return \"reasoning_content\"\n    if (!fullyStructured) return \"reasoning_content\"\n  })()\n  const reasoningText = (() => {\n    if (configuredField !== undefined) return reasoning.length === 0 ? (nativeReasoning ?? \"\") : text\n    if (reasoning.length === 0) return nativeReasoning\n    return text\n  })()\n  const cached = message.content.findLast((part) => \"cache\" in part && part.cache !== undefined)\n  const result = {\n    role: \"assistant\" as const,\n    content: content.length === 0 ? null : ProviderShared.joinText(content),\n    tool_calls: toolCalls.length === 0 ? undefined : toolCalls,\n    reasoning_details: details,\n    cache_control: options.cacheControl?.(cached && \"cache\" in cached ? cached.cache : undefined),\n  }\n  if (field === undefined || reasoningText === undefined) return result\n  return { ...result, [field]: reasoningText }\n})\n\nconst lowerToolMessages = Effect.fn(\"OpenAIChat.lowerToolMessages\")(function* (\n  message: OpenAIChatRequestMessage,\n  options: LoweringOptions,\n) {\n  const messages: OpenAIChatMessage[] = []\n  const images: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n  for (const part of message.content) {\n    if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n      return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"tool\", [\"tool-result\"])\n    if (part.result.type !== \"content\") {\n      messages.push({\n        role: \"tool\",\n        tool_call_id: part.id,\n        content: ProviderShared.toolResultText(part),\n        cache_control: options.cacheControl?.(part.cache),\n      })\n      continue\n    }\n    const content: ReadonlyArray<Tool.Content> = part.result.value\n    const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n    messages.push({\n      role: \"tool\",\n      tool_call_id: part.id,\n      content: text.join(\"\\n\"),\n      cache_control: options.cacheControl?.(part.cache),\n    })\n    const files = content.filter((item) => item.type === \"file\")\n    images.push(\n      ...(yield* Effect.forEach(files, (item) =>\n        lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name }),\n      )),\n    )\n  }\n  return { messages, images }\n})\n\nconst lowerMessage = Effect.fn(\"OpenAIChat.lowerMessage\")(function* (\n  message: OpenAIChatRequestMessage,\n  reasoningField?: string,\n  options: LoweringOptions = {},\n) {\n  if (message.role === \"user\") return [yield* lowerUserMessage(message, options)]\n  if (message.role === \"assistant\") return [yield* lowerAssistantMessage(message, reasoningField, options)]\n  return (yield* lowerToolMessages(message, options)).messages\n})\n\nconst lowerMessages = Effect.fn(\"OpenAIChat.lowerMessages\")(function* (request: LLMRequest, options: LoweringOptions) {\n  const system: OpenAIChatMessage[] =\n    request.system.length === 0\n      ? []\n      : request.system.some((part) => part.cache !== undefined) && options.cacheControl !== undefined\n        ? [\n            {\n              role: \"system\",\n              content: request.system.map((part) => ({\n                type: \"text\",\n                text: part.text,\n                cache_control: options.cacheControl?.(part.cache),\n              })),\n            },\n          ]\n        : [{ role: \"system\", content: ProviderShared.joinText(request.system) }]\n  const messages = [...system]\n  const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n  const flushImages = () => {\n    if (pendingImages.length === 0) return\n    messages.push({ role: \"user\", content: pendingImages.splice(0) })\n  }\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"OpenAI Chat\", message)\n      if (pendingImages.length > 0) {\n        messages.push({\n          role: \"user\",\n          content: [\n            ...pendingImages.splice(0),\n            { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n          ],\n        })\n        continue\n      }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\" && typeof previous.content === \"string\")\n        messages[messages.length - 1] = options.cacheControl?.(part.cache)\n          ? {\n              role: \"user\",\n              content: [\n                { type: \"text\", text: previous.content },\n                { type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) },\n              ],\n            }\n          : { role: \"user\", content: `${previous.content}\\n${part.text}` }\n      else if (previous?.role === \"user\" && Array.isArray(previous.content))\n        messages[messages.length - 1] = {\n          role: \"user\",\n          content: [\n            ...previous.content,\n            { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n          ],\n        }\n      else\n        messages.push(\n          options.cacheControl?.(part.cache)\n            ? {\n                role: \"user\",\n                content: [{ type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) }],\n              }\n            : { role: \"user\", content: part.text },\n        )\n      continue\n    }\n    if (message.role === \"tool\") {\n      const lowered = yield* lowerToolMessages(message, options)\n      messages.push(...lowered.messages)\n      pendingImages.push(...lowered.images)\n      continue\n    }\n    flushImages()\n    messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField, options)))\n  }\n  flushImages()\n  return messages\n})\n\nconst lowerOptions = (request: LLMRequest) => {\n  const options = OpenAIOptions.resolve(request)\n  return {\n    ...(options.store !== undefined ? { store: options.store } : {}),\n    ...(options.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),\n  }\n}\n\nexport const fromRequest = Effect.fn(\"OpenAIChat.fromRequest\")(function* (\n  request: LLMRequest,\n  options: LoweringOptions = {},\n) {\n  // `fromRequest` returns the provider body only. Endpoint, auth, framing,\n  // validation, and HTTP execution are composed by `Route.make`.\n  const reasoningField = request.model.compatibility?.reasoningField\n  if (reasoningField && RESERVED_REASONING_FIELDS.has(reasoningField))\n    return yield* ProviderShared.invalidRequest(\n      `OpenAI Chat reasoning field conflicts with reserved field ${reasoningField}`,\n    )\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const maxTokensField = request.model.compatibility?.maxTokensField ?? \"max_tokens\"\n  return {\n    model: request.model.id,\n    messages: yield* lowerMessages(request, options),\n    tools:\n      request.tools.length === 0\n        ? undefined\n        : request.tools.map((tool) =>\n            lowerTool(\n              tool,\n              ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n              options,\n            ),\n          ),\n    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,\n    stream: true as const,\n    stream_options: { include_usage: true },\n    ...(maxTokensField === \"max_completion_tokens\"\n      ? { max_completion_tokens: generation?.maxTokens }\n      : { max_tokens: generation?.maxTokens }),\n    temperature: generation?.temperature,\n    top_p: generation?.topP,\n    frequency_penalty: generation?.frequencyPenalty,\n    presence_penalty: generation?.presencePenalty,\n    seed: generation?.seed,\n    stop: generation?.stop,\n    ...lowerOptions(request),\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Streaming parsers are small state machines: every event returns a new state\n// plus the common `LLMEvent`s produced by that event. Tool calls are accumulated\n// because OpenAI streams JSON arguments across multiple deltas.\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n  if (reason === \"stop\") return \"stop\"\n  if (reason === \"length\") return \"length\"\n  if (reason === \"content_filter\") return \"content-filter\"\n  if (reason === \"function_call\" || reason === \"tool_calls\") return \"tool-calls\"\n  if (reason === \"error\") return \"error\"\n  return \"unknown\"\n}\n\n// OpenAI Chat reports `prompt_tokens` (inclusive total) with a\n// cached-read and cache-write subsets, and `completion_tokens` (inclusive\n// total) with a `reasoning_tokens` subset. We pass the inclusive totals\n// through and derive the non-cached breakdown so the `LLM.Usage` contract is\n// satisfied on both sides.\nconst mapUsage = (usage: OpenAIChatEvent[\"usage\"]): Usage | undefined => {\n  if (!usage) return undefined\n  const cached = usage.prompt_tokens_details?.cached_tokens\n  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens\n  const reasoning = usage.completion_tokens_details?.reasoning_tokens\n  const nonCached = ProviderShared.subtractTokens(usage.prompt_tokens, ProviderShared.sumTokens(cached, cacheWrite))\n  return new Usage({\n    inputTokens: usage.prompt_tokens,\n    outputTokens: usage.completion_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    cacheWriteInputTokens: cacheWrite,\n    reasoningTokens: reasoning,\n    totalTokens: ProviderShared.totalTokens(usage.prompt_tokens, usage.completion_tokens, usage.total_tokens),\n    providerMetadata: { openai: usage },\n  })\n}\n\nconst reasoningDelta = (\n  delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined,\n  configuredField?: string,\n) => {\n  if (!delta) return undefined\n  const fields = new Set([configuredField, \"reasoning_content\", \"reasoning\", \"reasoning_text\"])\n  for (const field of fields) {\n    if (field === undefined) continue\n    const text = delta[field]\n    if (typeof text === \"string\" && text.length > 0) return { field, text }\n  }\n  return undefined\n}\n\nconst detailText = (details: ReadonlyArray<unknown>) => {\n  const text = details.flatMap((detail) => {\n    if (!isRecord(detail)) return []\n    if (detail.type === \"reasoning.text\" && typeof detail.text === \"string\" && detail.text) return [detail.text]\n    if (detail.type === \"reasoning.summary\" && typeof detail.summary === \"string\" && detail.summary)\n      return [detail.summary]\n    return []\n  })\n  if (text.length > 0) return text.join(\"\")\n}\n\nconst appendReasoningDetails = (result: Array<unknown>, details: ReadonlyArray<unknown>) => {\n  for (const detail of details) {\n    const previous = result.at(-1)\n    if (\n      !isRecord(previous) ||\n      previous.type !== \"reasoning.text\" ||\n      !isRecord(detail) ||\n      detail.type !== \"reasoning.text\" ||\n      conflictingReasoningTextDetails(previous, detail)\n    ) {\n      result.push(detail)\n      continue\n    }\n    result[result.length - 1] = {\n      ...previous,\n      ...Object.fromEntries(Object.entries(detail).filter((entry) => entry[1] !== undefined)),\n      text: `${typeof previous.text === \"string\" ? previous.text : \"\"}${typeof detail.text === \"string\" ? detail.text : \"\"}`,\n      signature: mergeDetailValue(previous.signature, detail.signature),\n      format: mergeDetailValue(previous.format, detail.format),\n    }\n  }\n}\n\nconst mergeDetailValue = (previous: unknown, current: unknown) =>\n  previous || current || (previous !== undefined ? previous : current)\n\nconst conflictingReasoningTextDetails = (previous: Record<string, unknown>, current: Record<string, unknown>) =>\n  conflictingDetailValue(previous.id, current.id) ||\n  conflictingDetailValue(previous.index, current.index) ||\n  conflictingDetailValue(previous.format, current.format) ||\n  (Boolean(previous.signature) && Boolean(current.signature) && previous.signature !== current.signature)\n\nconst conflictingDetailValue = (previous: unknown, current: unknown) =>\n  previous !== undefined && previous !== null && current !== undefined && current !== null && previous !== current\n\nconst reasoningMetadata = (field: ParserState[\"reasoningField\"], details?: ReadonlyArray<unknown>) => ({\n  openai: {\n    ...(field ? { reasoningField: field } : {}),\n    ...(details ? { reasoningDetails: details } : {}),\n  },\n})\n\nconst step = (state: ParserState, event: OpenAIChatEvent) =>\n  Effect.gen(function* () {\n    if (event.error)\n      return yield* new LLMError({\n        module: ADAPTER,\n        method: \"stream\",\n        reason: classifyProviderFailure({\n          message: event.error.message,\n          code: event.error.code === undefined || event.error.code === null ? undefined : String(event.error.code),\n          status: typeof event.error.code === \"number\" ? event.error.code : undefined,\n        }),\n      })\n    const events: LLMEvent[] = []\n    const usage = mapUsage(event.usage) ?? state.usage\n    const choice = event.choices?.[0]\n    const finishReason = choice?.finish_reason\n      ? { normalized: mapFinishReason(choice.finish_reason), raw: choice.native_finish_reason ?? choice.finish_reason }\n      : state.finishReason\n    const delta = choice?.delta\n    const toolDeltas = delta?.tool_calls ?? []\n    let tools = state.tools\n    let pendingTools = state.pendingTools\n\n    let lifecycle = state.lifecycle\n\n    const reasoning = reasoningDelta(delta, state.reasoningField)\n    const reasoningField = state.reasoningField ?? (!state.lifecycle.text.has(\"text-0\") ? reasoning?.field : undefined)\n    const detailDelta = Array.isArray(delta?.reasoning_details) ? delta.reasoning_details : undefined\n    if (detailDelta !== undefined) appendReasoningDetails(state.reasoningDetails, detailDelta)\n    const reasoningDetailsObserved = state.reasoningDetailsObserved || detailDelta !== undefined\n    const deltaMetadata = reasoningMetadata(reasoningField)\n    const text = detailDelta?.length ? (detailText(detailDelta) ?? reasoning?.text) : reasoning?.text\n    if (!state.lifecycle.text.has(\"text-0\") && text !== undefined)\n      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n    else if (\n      reasoningDetailsObserved &&\n      !lifecycle.reasoning.has(\"reasoning-0\") &&\n      (Boolean(delta?.content) || toolDeltas.length > 0)\n    )\n      lifecycle = Lifecycle.reasoningStart(lifecycle, events, \"reasoning-0\", deltaMetadata)\n    const reasoningEmitted = state.reasoningEmitted || lifecycle.reasoning.has(\"reasoning-0\")\n\n    if (delta?.content) {\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.content)\n    }\n\n    for (const tool of toolDeltas) {\n      const current = tools[tool.index]\n      const pending = pendingTools[tool.index]\n      const id = current?.id ?? pending?.id ?? (tool.id || undefined)\n      const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)\n      const text = `${pending?.input ?? \"\"}${tool.function?.arguments ?? \"\"}`\n      if (!current && (!id || !name)) {\n        pendingTools = { ...pendingTools, [tool.index]: { id: id || undefined, name: name || undefined, input: text } }\n        continue\n      }\n      if (pending) {\n        pendingTools = { ...pendingTools }\n        delete pendingTools[tool.index]\n      }\n      const result = ToolStream.appendOrStart(\n        ADAPTER,\n        tools,\n        tool.index,\n        { id: id || undefined, name: name || undefined, text },\n        \"OpenAI Chat tool call delta is missing id or name\",\n      )\n      if (ToolStream.isError(result)) return yield* result\n      tools = result.tools\n      if (result.events.length) lifecycle = Lifecycle.stepStart(lifecycle, events)\n      events.push(...result.events)\n    }\n\n    if (finishReason !== undefined && state.finishReason === undefined && Object.keys(pendingTools).length > 0)\n      return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat tool call delta is missing id or name\")\n\n    // Finalize accumulated tool inputs eagerly when finish_reason arrives so\n    // valid calls and malformed local calls settle independently.\n    const finished =\n      finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0\n        ? yield* ToolStream.finishAll(ADAPTER, tools)\n        : undefined\n\n    return [\n      {\n        tools: finished?.tools ?? tools,\n        pendingTools,\n        toolCallEvents: finished?.events ?? state.toolCallEvents,\n        usage,\n        finishReason,\n        lifecycle,\n        reasoningField,\n        reasoningDetails: state.reasoningDetails,\n        reasoningDetailsObserved,\n        reasoningEmitted,\n      },\n      events,\n    ] as const\n  })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n  const events: LLMEvent[] = []\n  const hasToolCalls = state.toolCallEvents.length > 0\n  const reason = state.finishReason\n    ? {\n        ...state.finishReason,\n        normalized:\n          state.finishReason.normalized === \"stop\" && hasToolCalls ? \"tool-calls\" : state.finishReason.normalized,\n      }\n    : undefined\n  const metadata = reasoningMetadata(\n    state.reasoningField,\n    state.reasoningDetailsObserved ? state.reasoningDetails : undefined,\n  )\n  const started =\n    state.reasoningDetailsObserved && !state.reasoningEmitted\n      ? Lifecycle.reasoningStart(state.lifecycle, events, \"reasoning-0\", reasoningMetadata(state.reasoningField))\n      : state.lifecycle\n  const ended = Lifecycle.reasoningEnd(started, events, \"reasoning-0\", metadata)\n  const lifecycle = state.toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n  events.push(...state.toolCallEvents)\n  if (reason) Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })\n  return events\n}\n\n// =============================================================================\n// Protocol And OpenAI Route\n// =============================================================================\n/**\n * The OpenAI Chat protocol — request body construction, body schema, and the\n * streaming-event state machine. Reused by every route that speaks OpenAI Chat\n * over HTTP+SSE: native OpenAI, DeepSeek, TogetherAI, Cerebras, Baseten,\n * Fireworks, DeepInfra, and (once added) Azure OpenAI Chat.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: OpenAIChatBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(OpenAIChatEvent),\n    initial: (request) => ({\n      tools: ToolStream.empty<number>(),\n      pendingTools: {},\n      toolCallEvents: [],\n      lifecycle: Lifecycle.initial(),\n      reasoningField: request.model.compatibility?.reasoningField,\n      reasoningDetails: [],\n      reasoningDetailsObserved: false,\n      reasoningEmitted: false,\n    }),\n    step,\n    onHalt: finishEvents,\n  },\n})\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIChatBody>()\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"openai\",\n  providerMetadataKey: \"openai\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  transport: httpTransport,\n})\n\nexport * as OpenAIChat from \"./openai-chat\"\n"
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-  "names": []
-}

bin/chunk-n7587qhc.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openai-compatible.ts"],
-  "sourcesContent": [
-    "import { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options\"\n\nexport const id = ProviderID.make(\"openai-compatible\")\n\ntype GenericModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL: string\n  readonly provider?: string\n}\n\nexport type FamilyModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport const routes = [OpenAICompatibleChat.route]\n\nexport const configure = (input: GenericModelOptions) => {\n  const provider = input.provider ?? \"openai-compatible\"\n  const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n  const route = OpenAICompatibleChat.route.with({\n    ...rest,\n    provider,\n    endpoint: { baseURL },\n    auth: AuthOptions.bearer(input, []),\n  })\n  return {\n    id: ProviderID.make(provider),\n    model: (modelID: string | ModelID) =>\n      route.model<OpenAIProviderOptionsInput>({ id: modelID, provider: ProviderID.make(provider) }),\n    configure,\n  }\n}\n\nconst define = (profile: OpenAICompatibleProfile) => {\n  const configureProfile = (input: FamilyModelOptions = {}) => {\n    const facade = configure({\n      ...input,\n      baseURL: input.baseURL ?? profile.baseURL,\n      provider: profile.provider,\n    })\n    return {\n      id: ProviderID.make(profile.provider),\n      model: facade.model,\n      configure: configureProfile,\n    }\n  }\n  return configureProfile()\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n  }).model(modelID)\n\nexport const baseten = define(profiles.baseten)\nexport const cerebras = define(profiles.cerebras)\nexport const deepinfra = define(profiles.deepinfra)\nexport const deepseek = define(profiles.deepseek)\nexport const fireworks = define(profiles.fireworks)\nexport const groq = define(profiles.groq)\nexport const togetherai = define(profiles.togetherai)\n"
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-  "debugId": "7F85CA50A1BEBE4A64756E2164756E21",
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-}

bin/chunk-nj24n3hh.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/unset.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.unset,\n  Effect.fn(\"cli.service.unset\")(function* (input) {\n    yield* ServiceConfig.unset(input.key)\n  }),\n)\n"
-  ],
-  "mappings": ";k0BAKA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,WACnC,OAAO,QAAG,wBAAmB,OAAE,cAAU,MAAC,OAAO,MAC/C,WAAO,OAAc,WAAM,OAAM,QAAG,OACrC,CACH",
-  "debugId": "009ABB7F32AEB70264756E2164756E21",
-  "names": []
-}

bin/chunk-npm577f7.js.map

-{
-  "version": 3,
-  "sources": ["src/server-process.ts", "src/commands/handlers/serve.ts"],
-  "sourcesContent": [
-    "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions, type Info } from \"@opencode-ai/client/effect/service\"\nimport { LayerNode } from \"@opencode-ai/util/effect/layer-node\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"./version\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { randomBytes, randomUUID } from \"node:crypto\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Logger, Option, Redacted, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { Updater } from \"./services/updater\"\n\nexport type Mode = \"default\" | \"service\" | \"stdio\"\n\nexport type Options = {\n  readonly mode: Mode\n  readonly hostname?: string\n  readonly port?: number\n}\n\n// The process effect lives until server shutdown; tracing it would parent every request to one process-lifetime trace.\nexport const run = Effect.fnUntraced(function* (options: Options) {\n  return yield* processEffect(options).pipe(\n    Effect.provide(Updater.layer),\n    Effect.provide(\n      LayerNode.compile(LayerNode.group([Global.node, AppProcess.node]), [\n        [\n          Global.node,\n          Global.layerWith(process.env.OPENCODE_CONFIG_DIR ? { config: process.env.OPENCODE_CONFIG_DIR } : {}),\n        ],\n      ]),\n    ),\n    Effect.provide(NodeServices.layer),\n  )\n})\n\nconst processEffect = Effect.fnUntraced(function* (options: Options) {\n  if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(Global.Path.home))\n  return yield* Effect.scoped(\n    Effect.gen(function* () {\n      const serviceOptions = options.mode === \"service\" ? yield* ServiceConfig.options() : undefined\n      const config = options.mode === \"service\" ? yield* ServiceConfig.read() : {}\n      const hostname = options.hostname ?? config.hostname ?? \"127.0.0.1\"\n      const port = options.port ?? config.port ?? (options.mode === \"service\" ? ServiceConfig.defaultPort() : undefined)\n      if (\n        serviceOptions !== undefined &&\n        port !== undefined &&\n        (yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })) !== undefined\n      )\n        return\n      const { start } = yield* Effect.promise(() => import(\"@opencode-ai/server/process\"))\n      const environmentPassword = yield* Env.password\n      // Keep the lease credential out of the environment inherited by tools.\n      if (options.mode === \"stdio\") {\n        delete process.env.OPENCODE_PASSWORD\n        delete process.env.OPENCODE_SERVER_PASSWORD\n      }\n      const password =\n        options.mode === \"service\"\n          ? config.password || randomBytes(32).toString(\"base64url\")\n          : environmentPassword\n            ? Redacted.value(environmentPassword)\n            : randomBytes(32).toString(\"base64url\")\n      if (!password) return yield* Effect.fail(new Error(\"Missing server password\"))\n      const instanceID = randomUUID()\n      const server = yield* start(\n        {\n          app: {\n            name: process.env.OPENCODE_CLIENT ?? \"cli\",\n            version: OPENCODE_VERSION,\n            channel: OPENCODE_CHANNEL,\n          },\n          hostname,\n          port,\n          password,\n          simulation: truthy(process.env.OPENCODE_SIMULATE),\n          database: {\n            path:\n              process.env.OPENCODE_DB ??\n              ([\"latest\", \"beta\", \"prod\"].includes(OPENCODE_CHANNEL) ||\n              process.env.OPENCODE_DISABLE_CHANNEL_DB === \"1\" ||\n              process.env.OPENCODE_DISABLE_CHANNEL_DB === \"true\"\n                ? \"opencode.db\"\n                : `opencode-${OPENCODE_CHANNEL.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.db`),\n          },\n          models: {\n            url: process.env.OPENCODE_MODELS_URL,\n            file: process.env.OPENCODE_MODELS_PATH,\n            fetch: !truthy(process.env.OPENCODE_DISABLE_MODELS_FETCH),\n          },\n          observability: {\n            endpoint: process.env.OTEL_EXPORTER_OTLP_ENDPOINT,\n            headers: process.env.OTEL_EXPORTER_OTLP_HEADERS,\n          },\n          config: {\n            directory: process.env.OPENCODE_CONFIG_DIR,\n            project: !truthy(\n              process.env.OPENCODE_CONFIG_PROJECT_DISABLE ?? process.env.OPENCODE_DISABLE_PROJECT_CONFIG,\n            ),\n            file: process.env.OPENCODE_CONFIG,\n            content: process.env.OPENCODE_CONFIG_CONTENT,\n          },\n          windows: {\n            gitbash: process.env.OPENCODE_GIT_BASH_PATH,\n          },\n          fs: {\n            filewatcher: !truthy(\n              process.env.OPENCODE_FILEWATCHER_DISABLE ?? process.env.OPENCODE_DISABLE_FILEWATCHER,\n            ),\n            fff:\n              process.env.OPENCODE_DISABLE_FFF === undefined\n                ? process.platform !== \"win32\"\n                : !truthy(process.env.OPENCODE_DISABLE_FFF),\n          },\n        },\n        serviceOptions === undefined\n          ? undefined\n          : {\n              instanceID,\n              onListen: (address, shutdown) =>\n                Effect.gen(function* () {\n                  if (!config.password) yield* ServiceConfig.password(password)\n                  return yield* register(address, password, instanceID, serviceOptions.file, shutdown)\n                }),\n            },\n      ).pipe(\n        Effect.provide(Logger.layer([], { mergeWithExisting: false })),\n        Effect.catch((error) => {\n          if (serviceOptions === undefined || port === undefined || !addressInUse(error)) return Effect.fail(error)\n          return recognizeIncumbent(serviceOptions, hostname, port).pipe(\n            Effect.flatMap((found) =>\n              found\n                ? Effect.void\n                : Effect.fail(\n                    new Error(\n                      `Managed service port ${port} on ${hostname} is already in use by another process. ` +\n                        \"Configure another port with `opencode service set port <port>` and start the service again.\",\n                      { cause: error },\n                    ),\n                  ),\n            ),\n          )\n        }),\n      )\n      if (server === undefined) return\n      const url = HttpServer.formatAddress(server.address)\n      console.log(options.mode === \"stdio\" ? JSON.stringify({ url }) : `server listening on ${url}`)\n      if (options.mode === \"default\" && !environmentPassword) console.log(`server password ${password}`)\n      const updater = yield* Updater.Service\n      yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n      return yield* options.mode === \"service\"\n        ? server.shutdown\n        : options.mode === \"stdio\"\n          ? waitForStdinClose()\n          : Effect.never\n    }).pipe(Effect.annotateLogs({ role: \"server\" })),\n  )\n})\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nconst register = Effect.fnUntraced(function* (\n  address: HttpServer.Address,\n  password: string,\n  id: string,\n  file: string,\n  shutdown: Effect.Effect<void>,\n) {\n  const fs = yield* FileSystem.FileSystem\n  const temp = file + \".\" + id + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(file), { recursive: true })\n  const info = {\n    id,\n    version: OPENCODE_VERSION,\n    url: HttpServer.formatAddress(address),\n    pid: process.pid,\n    password,\n  }\n  const encoded = yield* encodeInfo(info)\n  const current = fs.readFileString(file).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.orElseSucceed(() => undefined),\n  )\n  const owns = (found: Info | undefined) =>\n    found?.id === info.id &&\n    found.version === info.version &&\n    found.url === info.url &&\n    found.pid === info.pid &&\n    found.password === info.password\n  yield* fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, file)))\n  yield* current.pipe(\n    Effect.filterOrFail(owns),\n    Effect.repeat(Schedule.spaced(\"5 seconds\")),\n    Effect.ignore,\n    Effect.andThen(shutdown),\n    Effect.forkScoped,\n  )\n  return current.pipe(\n    Effect.flatMap((found) => (owns(found) ? fs.remove(file) : Effect.void)),\n    Effect.ignore,\n  )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n  const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n    Effect.filterOrFail((value) => value !== undefined),\n    Effect.retry(Schedule.spaced(\"100 millis\")),\n    Effect.timeoutOption(\"15 seconds\"),\n  )\n  return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n  return `http://${hostname.includes(\":\") ? `[${hostname}]` : hostname}:${port}`\n}\n\nfunction truthy(value?: string) {\n  return value === \"1\" || value?.toLowerCase() === \"true\"\n}\n\nfunction addressInUse(error: unknown): boolean {\n  if (typeof error !== \"object\" || error === null) return false\n  if (\"code\" in error && error.code === \"EADDRINUSE\") return true\n  return \"cause\" in error && addressInUse(error.cause)\n}\n\nfunction waitForStdinClose() {\n  return Effect.callback<void>((resume) => {\n    const close = () => resume(Effect.void)\n    process.stdin.once(\"end\", close)\n    process.stdin.once(\"close\", close)\n    process.stdin.resume()\n    if (process.stdin.readableEnded || process.stdin.destroyed) close()\n    return Effect.sync(() => {\n      process.stdin.off(\"end\", close)\n      process.stdin.off(\"close\", close)\n      process.stdin.pause()\n    })\n  })\n}\n",
-    "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n  Commands.commands.serve,\n  Effect.fnUntraced(function* (input) {\n    if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n    return yield* ServerProcess.run({\n      mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n      hostname: Option.getOrUndefined(input.hostname),\n      port: Option.getOrUndefined(input.port),\n    })\n  }),\n)\n"
-  ],
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-  "debugId": "7ECE1B7370817BF964756E2164756E21",
-  "names": []
-}

bin/chunk-p71eexnt.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/logo.ts"],
-  "sourcesContent": [
-    "export const logo = {\n  left: [\"                   \", \"█▀▀█ █▀▀█ █▀▀█ █▀▀▄\", \"█__█ █__█ █^^^ █__█\", \"▀▀▀▀ █▀▀▀ ▀▀▀▀ ▀~~▀\"],\n  right: [\"             ▄     \", \"█▀▀▀ █▀▀█ █▀▀█ █▀▀█\", \"█___ █__█ █__█ █^^^\", \"▀▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀▀▀▀\"],\n}\n\nexport const go = {\n  left: [\"    \", \"█▀▀▀\", \"█_^█\", \"▀▀▀▀\"],\n  right: [\"    \", \"█▀▀█\", \"█__█\", \"▀▀▀▀\"],\n}\n"
-  ],
-  "mappings": ";AAAO,IAAM,EAAO,CAClB,KAAM,CAAC,sBAAuB,sGAAsB,yDAAuB,2FAAqB,EAChG,MAAO,CAAC,2BAAsB,sGAAuB,oDAAuB,qGAAqB,CACnG,EAEa,EAAK,CAChB,KAAM,CAAC,OAAQ,2BAAO,iBAAQ,0BAAM,EACpC,MAAO,CAAC,OAAQ,2BAAO,iBAAQ,0BAAM,CACvC",
-  "debugId": "2D97B4EFAC178E7864756E2164756E21",
-  "names": []
-}

bin/chunk-pygm0rr8.js.map

-{
-  "version": 3,
-  "sources": ["src/mini.ts", "src/mini-host.ts"],
-  "sourcesContent": [
-    "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { setTimeout } from \"node:timers/promises\"\nimport { readStdin } from \"./util/io\"\nimport { createMiniHost, INTERACTIVE_INPUT_ERROR, usingInteractiveStdin } from \"./mini-host\"\nimport { parseSessionTargetModel, resolveSessionTarget, type SessionTargetPreparation } from \"./session-target\"\n\nexport type MiniCommandInput = {\n  server: {\n    endpoint: Endpoint\n    reconnect?: (signal: AbortSignal) => Promise<Endpoint>\n  }\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: string\n  agent?: string\n  prompt?: string\n  replay?: boolean\n  replayLimit?: number\n  demo?: boolean\n  tuiConfig?: MiniFrontendInput[\"tuiConfig\"]\n  config?: MiniFrontendInput[\"config\"]\n}\n\ntype Model = MiniFrontendInput[\"model\"]\n\nclass MiniInputError extends Error {}\n\nexport async function runMini(input: MiniCommandInput) {\n  try {\n    validate(input)\n    const result = await usingInteractiveStdin(async (terminal) => {\n      const initialInput = mergeInput(process.stdin.isTTY ? undefined : await readStdin(), input.prompt)\n      const frontendTask = import(\"@opencode-ai/tui/mini\")\n      const directory = localDirectory()\n      const connection = createMiniConnection(input.server)\n      const sdk = connection.sdk\n      const requested = parseModel(input.model)\n      const model = requested ? { providerID: requested.providerID, modelID: requested.id } : undefined\n      const prepare = prepareTarget(input.agent)\n      const resolveTarget = async (initial: OpenCodeClient, signal: AbortSignal) => {\n        const resolved = await resolveMiniTarget({\n          sdk: initial,\n          reconnect: connection.reconnect,\n          signal,\n          resolve: (client) =>\n            resolveSessionTarget({\n              client,\n              location: { directory },\n              continue: input.continue,\n              session: input.session,\n              fork: input.fork,\n              model: requested,\n              agent: input.agent,\n              prepare,\n              signal,\n            }).catch((error) => {\n              if (error instanceof Error && error.message === \"Session not found\")\n                throw new MiniInputError(error.message)\n              throw error\n            }),\n        })\n        const target = resolved.value\n        return {\n          sdk: resolved.sdk,\n          sessionID: target.session.id,\n          sessionTitle: target.session.title,\n          location: target.location,\n          model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n          variant: target.model?.variant,\n          agent: target.agent,\n          resume: target.resume,\n        }\n      }\n      const create = (\n        client: OpenCodeClient,\n        next: {\n          location: { directory: string; workspaceID?: string }\n          agent: string | undefined\n          model: Model\n          variant: string | undefined\n        },\n        signal?: AbortSignal,\n      ) =>\n        resolveSessionTarget({\n          client,\n          location: { directory: next.location.directory, workspace: next.location.workspaceID },\n          agent: next.agent,\n          model: next.model\n            ? { providerID: next.model.providerID, id: next.model.modelID, variant: next.variant }\n            : undefined,\n          prepare,\n          signal,\n        }).then((target) => ({\n          sessionID: target.session.id,\n          sessionTitle: target.session.title,\n          location: target.location,\n          model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n          variant: target.model?.variant,\n          agent: target.agent,\n          resume: false,\n        }))\n      const frontend = await frontendTask\n      return frontend.runMiniFrontend({\n        host: createMiniHost({ terminal, directory }),\n        sdk,\n        directory,\n        target: resolveTarget,\n        reconnect: connection.reconnect,\n        createSession: create,\n        agent: input.agent,\n        model,\n        variant: requested?.variant,\n        files: [],\n        initialInput,\n        replay: input.replay ?? true,\n        replayLimit: input.replayLimit,\n        demo: input.demo,\n        tuiConfig: input.tuiConfig,\n        config: input.config,\n      })\n    })\n    if (result.exitCode !== 0) process.exit(result.exitCode)\n  } catch (error) {\n    if (error instanceof MiniInputError || (error instanceof Error && error.message === INTERACTIVE_INPUT_ERROR))\n      fail(error.message)\n    throw error\n  }\n}\n\n/** @internal Exported for CLI boundary tests. */\nexport function createMiniConnection(input: MiniCommandInput[\"server\"]) {\n  const make = (endpoint: Endpoint) =>\n    OpenCode.make({\n      baseUrl: endpoint.url,\n      headers: Service.headers(endpoint),\n    })\n  const reconnect = input.reconnect\n  return {\n    sdk: make(input.endpoint),\n    reconnect: reconnect\n      ? async (signal: AbortSignal) => {\n          const endpoint = await reconnect(signal)\n          return make(endpoint)\n        }\n      : undefined,\n  }\n}\n\n/** @internal Exported for reconnect lifecycle tests. */\nexport async function resolveMiniTarget<A>(input: {\n  sdk: OpenCodeClient\n  reconnect?: (signal: AbortSignal) => Promise<OpenCodeClient>\n  signal: AbortSignal\n  resolve: (sdk: OpenCodeClient) => Promise<A>\n}) {\n  let sdk = input.sdk\n  while (true) {\n    try {\n      return { sdk, value: await input.resolve(sdk) }\n    } catch (error) {\n      if (!input.reconnect || !(error instanceof ClientError) || error.reason !== \"Transport\") throw error\n      while (true) {\n        try {\n          sdk = await input.reconnect(input.signal)\n          break\n        } catch (resolveError) {\n          if (input.signal.aborted) throw resolveError\n          await setTimeout(250, undefined, { signal: input.signal })\n        }\n      }\n    }\n  }\n}\n\nexport function validateMiniTerminal() {\n  if (!process.stdout.isTTY) fail(\"opencode mini requires a TTY stdout\")\n}\n\n/** @internal Exported for testing. */\nexport function mergeInput(piped: string | undefined, prompt: string | undefined) {\n  if (!prompt) return piped || undefined\n  if (!piped) return prompt\n  return piped + \"\\n\" + prompt\n}\n\nfunction validate(input: MiniCommandInput) {\n  validateMiniTerminal()\n  if (input.replayLimit !== undefined && (!Number.isInteger(input.replayLimit) || input.replayLimit <= 0)) {\n    fail(\"--replay-limit must be a positive integer\")\n  }\n  if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n}\n\nfunction localDirectory(): string {\n  const root = process.env.PWD ?? process.cwd()\n  try {\n    process.chdir(root)\n    return process.cwd()\n  } catch {\n    throw new MiniInputError(`Failed to change directory to ${root}`)\n  }\n}\n\nfunction parseModel(value?: string) {\n  try {\n    return parseSessionTargetModel(value)\n  } catch {\n    throw new MiniInputError(\"--model must use the format provider/model[#variant]\")\n  }\n}\n\nfunction prepareTarget(requestedAgent?: string): SessionTargetPreparation {\n  return async (input) => ({ model: input.model, agent: requestedAgent ?? input.agent })\n}\n\nfunction fail(message: string): never {\n  process.stderr.write(`\\x1b[91m\\x1b[1mError: \\x1b[0m${message}\\n`)\n  process.exit(1)\n}\n",
-    "import type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { createModelPreferenceRepository } from \"@opencode-ai/tui/model-preference\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport fs from \"node:fs\"\nimport { readFile } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { ReadStream } from \"node:tty\"\n\nexport const INTERACTIVE_INPUT_ERROR = \"opencode mini requires a controlling terminal for input\"\n\nexport type InteractiveStdin = {\n  stdin: NodeJS.ReadStream\n  cleanup(): void\n}\n\ntype MiniHost = MiniFrontendInput[\"host\"]\n\nfunction preferences(statePath: string): MiniHost[\"preferences\"] {\n  const repository = createModelPreferenceRepository(path.join(statePath, \"model.json\"))\n  return {\n    async resolveVariant(model) {\n      if (!model) return\n      return repository.resolveVariant(model)\n    },\n    async saveVariant(model, variant) {\n      if (!model) return\n      await repository.saveVariant(model, variant).catch(() => undefined)\n    },\n  }\n}\n\nfunction signal(name: \"SIGINT\" | \"SIGUSR2\"): MiniHost[\"signals\"][\"sigint\"] {\n  return {\n    subscribe(listener) {\n      let subscribed = true\n      process.on(name, listener)\n      return () => {\n        if (!subscribed) return\n        subscribed = false\n        process.off(name, listener)\n      }\n    },\n  }\n}\n\nfunction createTrace(\n  logPath: string,\n  diagnostics: { pid: number; cwd: string; argv: string[] },\n): MiniHost[\"diagnostics\"][\"trace\"] {\n  if (!process.env.OPENCODE_DIRECT_TRACE) return\n  const stamp = new Date()\n    .toISOString()\n    .replace(/[-:]/g, \"\")\n    .replace(/\\.\\d+Z$/, \"Z\")\n  const target = path.join(logPath, \"direct\", `${stamp}-${diagnostics.pid}.jsonl`)\n  const text = (data: unknown) =>\n    JSON.stringify(data, (_key, value) => (typeof value === \"bigint\" ? 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bin/chunk-q25pxrhb.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/restart.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.restart,\n  Effect.fn(\"cli.service.restart\")(function* () {\n    const options = yield* ServiceConfig.options()\n    yield* Service.stop(options)\n    const transport = yield* Service.ensure(options)\n    process.stdout.write(transport.url + EOL)\n  }),\n)\n"
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-}

bin/chunk-qfs1w2w0.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/util/persistence.ts", "../tui/src/util/record.ts", "../tui/src/model-preference.ts"],
-  "sourcesContent": [
-    "import path from \"path\"\nimport { appendFile, mkdir, readFile, rename, rm, writeFile } from \"fs/promises\"\n\nexport function readText(filePath: string) {\n  return readFile(filePath, \"utf8\")\n}\n\nexport async function readJson<T>(filePath: string) {\n  return JSON.parse(await readFile(filePath, \"utf8\")) as T\n}\n\nexport async function writeText(filePath: string, content: string) {\n  await mkdir(path.dirname(filePath), { recursive: true })\n  await writeFile(filePath, content)\n}\n\nexport async function appendText(filePath: string, content: string) {\n  await mkdir(path.dirname(filePath), { recursive: true })\n  await appendFile(filePath, content)\n}\n\nexport async function writeJsonAtomic(filePath: string, value: unknown) {\n  await mkdir(path.dirname(filePath), { recursive: true })\n  const temporary = `${filePath}.${process.pid}.${crypto.randomUUID()}.tmp`\n  await writeFile(temporary, JSON.stringify(value)).catch(async (error) => {\n    await rm(temporary, { force: true }).catch(() => undefined)\n    throw error\n  })\n  await rename(temporary, filePath).catch(async (error) => {\n    await rm(temporary, { force: true }).catch(() => undefined)\n    throw error\n  })\n}\n",
-    "export function isRecord(value: unknown): value is Record<string, unknown> {\n  return !!value && typeof value === \"object\" && !Array.isArray(value)\n}\n",
-    "import { readJson, writeJsonAtomic } from \"./util/persistence\"\nimport { isRecord } from \"./util/record\"\n\nexport type ModelPreferenceModel = {\n  providerID: string\n  modelID: string\n}\n\nexport type ModelPreference = {\n  recent: ModelPreferenceModel[]\n  favorite: ModelPreferenceModel[]\n  variant: Record<string, string | undefined>\n}\n\nexport type ModelPreferenceDocument = Record<string, unknown> & ModelPreference\n\nfunction models(value: unknown) {\n  if (!Array.isArray(value)) return []\n  return value.flatMap((item): ModelPreferenceModel[] => {\n    if (!isRecord(item)) return []\n    if (typeof item.providerID !== \"string\" || item.providerID.length === 0) return []\n    if (typeof item.modelID !== \"string\" || item.modelID.length === 0) return []\n    return [{ providerID: item.providerID, modelID: item.modelID }]\n  })\n}\n\nfunction variants(value: unknown) {\n  if (!isRecord(value)) return {}\n  return Object.fromEntries(\n    Object.entries(value).flatMap(([key, item]) => {\n      if (key.length === 0 || typeof item !== \"string\" || item.length === 0) return []\n      const variant = normalizeModelVariant(item)\n      return variant === undefined ? [] : ([[key, variant]] as const)\n    }),\n  )\n}\n\nexport function normalizeModelVariant(value: string | undefined) {\n  return value === \"default\" ? undefined : value\n}\n\nexport function modelPreferenceKey(model: ModelPreferenceModel) {\n  return `${model.providerID}/${model.modelID}`\n}\n\nexport function cycleModelVariant(current: string | undefined, variants: string[]) {\n  const named = variants.filter((variant) => variant !== \"default\")\n  if (named.length === 0) return undefined\n  const value = normalizeModelVariant(current)\n  if (value === undefined) return named[0]\n  const index = named.indexOf(value)\n  if (index === -1 || index === named.length - 1) return undefined\n  return named[index + 1]\n}\n\nexport function decodeModelPreference(value: unknown): ModelPreferenceDocument {\n  const root = isRecord(value) ? value : {}\n  return {\n    ...root,\n    recent: models(root.recent),\n    favorite: models(root.favorite),\n    variant: variants(root.variant),\n  }\n}\n\nfunction preference(value: ModelPreferenceDocument): ModelPreference {\n  return {\n    recent: value.recent,\n    favorite: value.favorite,\n    variant: value.variant,\n  }\n}\n\nfunction patch(value: Partial<ModelPreference>) {\n  return {\n    ...(value.recent === undefined ? {} : { recent: models(value.recent) }),\n    ...(value.favorite === undefined ? {} : { favorite: models(value.favorite) }),\n    ...(value.variant === undefined ? {} : { variant: variants(value.variant) }),\n  }\n}\n\nexport function createModelPreferenceRepository(filePath: string) {\n  const state = {\n    pending: Promise.resolve(),\n  }\n  const read = () =>\n    readJson<unknown>(filePath)\n      .then(decodeModelPreference)\n      .catch(() => decodeModelPreference(undefined))\n\n  function update(change: (current: ModelPreference) => Partial<ModelPreference>) {\n    const result = state.pending.then(async () => {\n      const current = await read()\n      const next = { ...current, ...patch(change(preference(current))) }\n      await writeJsonAtomic(filePath, next)\n    })\n    state.pending = result.catch(() => undefined)\n    return result\n  }\n\n  function load() {\n    return state.pending.then(read).then(preference)\n  }\n\n  return {\n    load,\n    patch(value: Partial<ModelPreference>) {\n      return update(() => value)\n    },\n    async resolveVariant(model: ModelPreferenceModel) {\n      return (await load()).variant[modelPreferenceKey(model)]\n    },\n    saveVariant(model: ModelPreferenceModel, value: string | undefined) {\n      const key = modelPreferenceKey(model)\n      const next = normalizeModelVariant(value)\n      return update((current) => {\n        const variant = { ...current.variant }\n        if (next === undefined) delete variant[key]\n        if (next !== undefined) variant[key] = next\n        return { variant }\n      })\n    },\n  }\n}\n"
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-}

bin/chunk-r25exjcn.js.map

-{
-  "version": 3,
-  "sources": ["src/ui/timeline.tsx", "src/commands/handlers/console/login.ts"],
-  "sourcesContent": [
-    "import { createComponent as _$createComponent } from \"@opentui/solid\";\nimport { effect as _$effect } from \"@opentui/solid\";\nimport { createTextNode as _$createTextNode } from \"@opentui/solid\";\nimport { insertNode as _$insertNode } from \"@opentui/solid\";\nimport { insert as _$insert } from \"@opentui/solid\";\nimport { setProp as _$setProp } from \"@opentui/solid\";\nimport { createElement as _$createElement } from \"@opentui/solid\";\n/** @jsxImportSource @opentui/solid */\nimport { createCliRenderer, RGBA } from \"@opentui/core\";\nimport { createScrollbackWriter, render, useKeyboard } from \"@opentui/solid\";\nimport { registerOpencodeSpinner } from \"@opencode-ai/tui/component/register-spinner\";\nimport { Show, createSignal } from \"solid-js\";\nregisterOpencodeSpinner();\nconst SPINNER_FRAMES = [\"⠋\", \"⠙\", \"⠹\", \"⠸\", \"⠼\", \"⠴\", \"⠦\", \"⠧\", \"⠇\", \"⠏\"];\nconst IDLE_TIMEOUT = 1_000;\nconst COLORS = {\n  accent: RGBA.fromIndex(6),\n  error: RGBA.fromIndex(1),\n  foreground: RGBA.defaultForeground(),\n  muted: RGBA.fromIndex(8),\n  success: RGBA.fromIndex(2)\n};\nconst ROWS = {\n  intro: {\n    marker: \"┌\",\n    color: COLORS.muted,\n    connector: true\n  },\n  item: {\n    marker: \"●\",\n    color: COLORS.accent,\n    connector: true\n  },\n  success: {\n    marker: \"◇\",\n    color: COLORS.success,\n    connector: true\n  },\n  failure: {\n    marker: \"■\",\n    color: COLORS.error,\n    connector: false\n  },\n  outro: {\n    marker: \"└\",\n    color: COLORS.muted,\n    connector: false\n  }\n};\nfunction row(kind, value) {\n  const style = ROWS[kind];\n  return createScrollbackWriter(() => (() => {\n    var _el$ = _$createElement(\"box\"),\n      _el$2 = _$createElement(\"box\"),\n      _el$3 = _$createElement(\"text\"),\n      _el$4 = _$createElement(\"text\");\n    _$insertNode(_el$, _el$2);\n    _$setProp(_el$, \"width\", \"100%\");\n    _$setProp(_el$, \"minHeight\", 1);\n    _$setProp(_el$, \"flexDirection\", \"column\");\n    _$insertNode(_el$2, _el$3);\n    _$insertNode(_el$2, _el$4);\n    _$setProp(_el$2, \"width\", \"100%\");\n    _$setProp(_el$2, \"minHeight\", 1);\n    _$setProp(_el$2, \"flexDirection\", \"row\");\n    _$setProp(_el$2, \"gap\", 1);\n    _$setProp(_el$3, \"flexShrink\", 0);\n    _$insert(_el$3, () => style.marker);\n    _$setProp(_el$4, \"wrapMode\", \"word\");\n    _$insert(_el$4, value);\n    _$insert(_el$, _$createComponent(Show, {\n      get when() {\n        return style.connector;\n      },\n      get children() {\n        var _el$5 = _$createElement(\"text\");\n        _$insertNode(_el$5, _$createTextNode(`│`));\n        _$effect(_$p => _$setProp(_el$5, \"fg\", COLORS.muted, _$p));\n        return _el$5;\n      }\n    }), null);\n    _$effect(_p$ => {\n      var _v$ = style.color,\n        _v$2 = COLORS.foreground;\n      _v$ !== _p$.e && (_p$.e = _$setProp(_el$3, \"fg\", _v$, _p$.e));\n      _v$2 !== _p$.t && (_p$.t = _$setProp(_el$4, \"fg\", _v$2, _p$.t));\n      return _p$;\n    }, {\n      e: undefined,\n      t: undefined\n    });\n    return _el$;\n  })(), {\n    startOnNewLine: true,\n    trailingNewline: !style.connector\n  });\n}\nfunction TimelineFooter(props) {\n  useKeyboard(event => {\n    if (event.name !== \"escape\" && !(event.ctrl && event.name === \"c\")) return;\n    event.preventDefault();\n    props.cancel();\n  });\n  return (() => {\n    var _el$7 = _$createElement(\"box\");\n    _$setProp(_el$7, \"width\", \"100%\");\n    _$setProp(_el$7, \"height\", 1);\n    _$setProp(_el$7, \"flexDirection\", \"row\");\n    _$setProp(_el$7, \"gap\", 1);\n    _$insert(_el$7, _$createComponent(Show, {\n      get when() {\n        return props.pending();\n      },\n      children: text => [(() => {\n        var _el$8 = _$createElement(\"spinner\");\n        _$setProp(_el$8, \"frames\", SPINNER_FRAMES);\n        _$setProp(_el$8, \"interval\", 80);\n        _$effect(_$p => _$setProp(_el$8, \"color\", COLORS.accent, _$p));\n        return _el$8;\n      })(), (() => {\n        var _el$9 = _$createElement(\"text\");\n        _$setProp(_el$9, \"wrapMode\", \"none\");\n        _$setProp(_el$9, \"truncate\", true);\n        _$insert(_el$9, text);\n        _$effect(_$p => _$setProp(_el$9, \"fg\", COLORS.foreground, _$p));\n        return _el$9;\n      })()]\n    }));\n    return _el$7;\n  })();\n}\nfunction bounded(task) {\n  return new Promise(resolve => {\n    const timer = setTimeout(resolve, IDLE_TIMEOUT);\n    timer.unref();\n    const finish = () => {\n      clearTimeout(timer);\n      resolve();\n    };\n    void task.then(finish, finish);\n  });\n}\nasync function shutdown(renderer) {\n  await bounded(renderer.idle());\n  try {\n    renderer.externalOutputMode = \"passthrough\";\n  } finally {\n    try {\n      renderer.screenMode = \"main-screen\";\n    } finally {\n      if (!renderer.isDestroyed) renderer.destroy();\n    }\n  }\n}\nexport async function createTimelineHost() {\n  const stdout = process.stdout;\n  const controller = new AbortController();\n  const signals = [\"SIGINT\", \"SIGHUP\", \"SIGQUIT\"];\n  const cancel = () => {\n    if (!controller.signal.aborted) controller.abort();\n  };\n  signals.forEach(signal => process.on(signal, cancel));\n  if (!stdout.isTTY || !process.stdin.isTTY) {\n    let closed = false;\n    let writing = false;\n    let active;\n    let closeTask;\n    const write = async (kind, text) => {\n      if (closed) throw new Error(\"timeline closed\");\n      if (writing) throw new Error(\"timeline write already in progress\");\n      writing = true;\n      try {\n        const style = kind === \"pending\" ? undefined : ROWS[kind];\n        const marker = kind === \"pending\" ? \".\" : ROWS[kind].marker;\n        const connector = style?.connector ? \"│\\n\" : \"\";\n        active = new Promise((resolve, reject) => {\n          stdout.write(`${marker} ${text}\\n${connector}`, error => error ? reject(error) : resolve());\n        });\n        await active;\n      } finally {\n        writing = false;\n        active = undefined;\n      }\n    };\n    const close = () => {\n      if (closeTask) return closeTask;\n      closed = true;\n      closeTask = (async () => {\n        await active?.catch(() => {});\n        signals.forEach(signal => process.off(signal, cancel));\n      })();\n      return closeTask;\n    };\n    return {\n      signal: controller.signal,\n      intro: text => write(\"intro\", text),\n      item: text => write(\"item\", text),\n      pending: text => write(\"pending\", text),\n      success: text => write(\"success\", text),\n      failure: text => write(\"failure\", text),\n      outro: text => write(\"outro\", text),\n      close\n    };\n  }\n  let renderer;\n  try {\n    // Start on a fresh row so delayed SSH cursor reports cannot make\n    // split-footer overwrite the shell command.\n    process.stdout.write(\"\\n\");\n    renderer = await createCliRenderer({\n      stdin: process.stdin,\n      useMouse: false,\n      autoFocus: false,\n      openConsoleOnError: false,\n      exitOnCtrlC: false,\n      exitSignals: [],\n      screenMode: \"split-footer\",\n      footerHeight: 1,\n      externalOutputMode: \"capture-stdout\",\n      consoleMode: \"disabled\",\n      clearOnShutdown: false\n    });\n    const activeRenderer = renderer;\n    const [pending, setPending] = createSignal();\n    const renderTask = render(() => _$createComponent(TimelineFooter, {\n      pending: pending,\n      cancel: cancel\n    }), activeRenderer);\n    void renderTask.catch(cancel);\n    await bounded(activeRenderer.idle());\n    let closed = false;\n    let writing = false;\n    let active;\n    let closeTask;\n    const write = (kind, text) => {\n      if (closed) return Promise.reject(new Error(\"timeline closed\"));\n      if (writing) return Promise.reject(new Error(\"timeline write already in progress\"));\n      writing = true;\n      active = (async () => {\n        if (kind === \"pending\") {\n          setPending(text);\n          activeRenderer.requestRender();\n        } else {\n          if (kind === \"success\" || kind === \"failure\" || kind === \"outro\") setPending(undefined);\n          activeRenderer.writeToScrollback(row(kind, text));\n          activeRenderer.requestRender();\n        }\n        await bounded(activeRenderer.idle());\n      })().finally(() => {\n        writing = false;\n        active = undefined;\n      });\n      return active;\n    };\n    const close = () => {\n      if (closeTask) return closeTask;\n      closed = true;\n      closeTask = (async () => {\n        await active?.catch(() => {});\n        try {\n          await shutdown(activeRenderer);\n          await bounded(renderTask);\n        } finally {\n          signals.forEach(signal => process.off(signal, cancel));\n        }\n      })();\n      return closeTask;\n    };\n    return {\n      signal: controller.signal,\n      intro: text => write(\"intro\", text),\n      item: text => write(\"item\", text),\n      pending: text => write(\"pending\", text),\n      success: text => write(\"success\", text),\n      failure: text => write(\"failure\", text),\n      outro: text => write(\"outro\", text),\n      close\n    };\n  } catch (error) {\n    try {\n      if (renderer) await shutdown(renderer);\n    } finally {\n      signals.forEach(signal => process.off(signal, cancel));\n    }\n    throw error;\n  }\n}",
-    "import { Cause, Effect, Exit, Option } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\n\nconst integrationID = \"opencode\"\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.console.commands.login,\n  Effect.fn(\"cli.console.login\")(function* (input) {\n    const timeline = yield* Effect.acquireRelease(\n      Effect.promise(() => createTimelineHost()),\n      (value) => request(() => value.close()).pipe(Effect.ignore),\n    )\n    const exit = yield* login(timeline, Option.getOrUndefined(input.url)).pipe(\n      Effect.raceFirst(AppProcess.waitForAbort(timeline.signal)),\n      Effect.exit,\n    )\n    if (Exit.isSuccess(exit)) return\n\n    const cancelled = timeline.signal.aborted\n    yield* request(() => timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(exit.cause))).pipe(\n      Effect.ignore,\n    )\n    process.exitCode = cancelled ? 130 : 1\n  }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n  yield* request(() => timeline.intro(\"Log in\"))\n  yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n  const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n  const method = yield* required(\n    integration.methods.find((candidate) => candidate.type === \"oauth\"),\n    \"OpenCode Console login is unavailable\",\n  )\n\n  yield* request(() => timeline.pending(\"Starting authorization...\"))\n  const started = yield* request((signal) =>\n    client.integration.oauth.connect(\n      {\n        integrationID,\n        methodID: method.id,\n        inputs: server ? { server } : {},\n        location,\n      },\n      { signal },\n    ),\n  )\n  const attempt = started.data\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.oauth.cancel(\n        { integrationID, attemptID: attempt.attemptID, location },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n  yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n  yield* request(() => timeline.item(attempt.instructions))\n  yield* request(async () => {\n    const { default: open } = await import(\"open\")\n    await open(attempt.url)\n  }).pipe(Effect.ignore)\n  yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n  const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n  yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n  yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n) {\n  while (true) {\n    const response = yield* request((signal) =>\n      client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n    )\n    if (response.data.status !== \"pending\") return response.data\n    yield* Effect.sleep(500)\n  }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n  return Effect.tryPromise({\n    try: task,\n    catch: (cause) => cause,\n  })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n  return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n\nfunction errorMessage(cause: Cause.Cause<unknown>) {\n  const error = Cause.squash(cause)\n  if (error instanceof Error) return error.message\n  if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\") {\n    return error.message\n  }\n  return String(error)\n}\n"
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-  "debugId": "D3FDE3CD20549AA364756E2164756E21",
-  "names": []
-}

bin/chunk-rwz27whs.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/auth/connect.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type IntegrationCommandStatusOutput, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.connect,\n  Effect.fn(\"cli.auth.connect\")(function* (input) {\n    process.stdout.write(\"Connecting...\" + EOL + EOL)\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    yield* request(() => client.integration.wellknown.add({ url: input.url, location }))\n    const integrationID = input.url.replace(/\\/+$/, \"\")\n    const started = yield* request(() =>\n      client.integration.command.connect({ integrationID, methodID: \"login\", location }),\n    )\n    yield* Effect.addFinalizer(() =>\n      request(() =>\n        client.integration.command.cancel({ integrationID, attemptID: started.data.attemptID, location }),\n      ).pipe(Effect.ignore),\n    )\n\n    const status = yield* wait(client, integrationID, started.data.attemptID)\n    if (status.status === \"failed\") return yield* Effect.fail(new Error(status.message))\n    if (status.status === \"expired\") return yield* Effect.fail(new Error(\"Authentication expired\"))\n    process.stdout.write(\"Connected\" + EOL)\n  }),\n)\n\nconst wait = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n  shown = false,\n): Effect.Effect<Exclude<IntegrationCommandStatusOutput[\"data\"], { status: \"pending\" }>, unknown> =>\n  Effect.gen(function* () {\n    const response = yield* request(() => client.integration.command.status({ integrationID, attemptID, location }))\n    if (response.data.status !== \"pending\") return response.data\n    const output = response.data.message?.trim()\n    if (!shown && output) process.stdout.write(output + EOL + EOL)\n    yield* Effect.sleep(500)\n    return yield* wait(client, integrationID, attemptID, shown || !!output)\n  })\n\nfunction request<A>(task: () => Promise<A>) {\n  return Effect.tryPromise({ try: task, catch: (cause) => cause })\n}\n"
-  ],
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-  "debugId": "769047624CB0754164756E2164756E21",
-  "names": []
-}

bin/chunk-s2n9w4ty.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/set.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.set,\n  Effect.fn(\"cli.service.set\")(function* (input) {\n    yield* ServiceConfig.set(input.key, input.value)\n  }),\n)\n"
-  ],
-  "mappings": ";k0BAKA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,SACnC,OAAO,QAAG,sBAAiB,OAAE,cAAU,MAAC,OAAO,MAC7C,WAAO,OAAc,SAAI,OAAM,SAAK,OAAM,KAAK,EAChD,CACH",
-  "debugId": "EEB42227360BEA1964756E2164756E21",
-  "names": []
-}

bin/chunk-sc17vqxn.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "25DC116D1AE56AAF64756E2164756E21",
-  "names": []
-}

bin/chunk-szvrny7f.js.map

-{
-  "version": 3,
-  "sources": ["../schema/src/prompt.ts", "../schema/src/shell.ts", "../schema/src/session-error.ts", "../schema/src/session-id.ts", "../schema/src/permission.ts", "../schema/src/agent.ts", "../schema/src/skill.ts", "../schema/src/snapshot.ts", "../schema/src/token-usage.ts", "../schema/src/session-message.ts"],
-  "sourcesContent": [
-    "import { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { statics } from \"./schema.js\"\n\nexport interface PromptMention extends Schema.Schema.Type<typeof PromptMention> {}\nexport const PromptMention = Schema.Struct({\n  start: Schema.Finite,\n  end: Schema.Finite,\n  text: Schema.String,\n}).annotate({ identifier: \"Prompt.Mention\" })\n\nexport const FileSource = Schema.Union([\n  Schema.Struct({ type: Schema.Literal(\"inline\") }),\n  Schema.Struct({ type: Schema.Literal(\"uri\"), uri: Schema.String }),\n])\n  .pipe(Schema.toTaggedUnion(\"type\"))\n  .annotate({ identifier: \"Prompt.FileSource\" })\nexport type FileSource = typeof FileSource.Type\n\nexport const Base64 = Schema.String.check(\n  Schema.isPattern(/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/),\n).annotate({ identifier: \"Prompt.Base64\" })\nexport type Base64 = typeof Base64.Type\n\nexport interface FileAttachment extends Schema.Schema.Type<typeof FileAttachment> {}\nexport const FileAttachment = Schema.Struct({\n  data: Base64,\n  mime: Schema.String,\n  source: FileSource,\n  name: Schema.String.pipe(optional),\n  description: Schema.String.pipe(optional),\n  mention: PromptMention.pipe(optional),\n})\n  .annotate({ identifier: \"Prompt.FileAttachment\" })\n  .pipe(\n    statics((schema) => ({\n      create: (input: FileAttachment) =>\n        schema.make({\n          data: input.data,\n          mime: input.mime,\n          source: input.source,\n          name: input.name,\n          description: input.description,\n          mention: input.mention,\n        }),\n    })),\n  )\n\nexport interface AgentAttachment extends Schema.Schema.Type<typeof AgentAttachment> {}\nexport const AgentAttachment = Schema.Struct({\n  name: Schema.String,\n  mention: PromptMention.pipe(optional),\n}).annotate({ identifier: \"Prompt.AgentAttachment\" })\n\nexport interface Prompt extends Schema.Schema.Type<typeof Prompt> {}\nexport const Prompt = Schema.Struct({\n  text: Schema.String,\n  files: Schema.Array(FileAttachment).pipe(optional),\n  agents: Schema.Array(AgentAttachment).pipe(optional),\n})\n  .annotate({ identifier: \"Prompt\" })\n  .pipe(\n    statics((schema) => ({\n      equivalence: Schema.toEquivalence(schema),\n      fromUserMessage: (input: Pick<Prompt, \"text\" | \"files\" | \"agents\">) =>\n        schema.make({\n          text: input.text,\n          ...(input.files === undefined ? {} : { files: input.files }),\n          ...(input.agents === undefined ? {} : { agents: input.agents }),\n        }),\n    })),\n  )\n",
-    "export * as Shell from \"./shell.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, statics } from \"./schema.js\"\n\nconst IDSchema = Schema.String.check(Schema.isStartsWith(\"sh_\")).pipe(Schema.brand(\"Shell.ID\"))\n\nexport const ID = IDSchema.pipe(\n  statics((schema: typeof IDSchema) => {\n    const create = () => schema.make(\"sh_\" + ascending())\n    return {\n      create,\n      ascending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n    }\n  }),\n)\nexport type ID = typeof ID.Type\n\nexport const Status = Schema.Literals([\"running\", \"exited\", \"timeout\", \"killed\"])\nexport type Status = typeof Status.Type\n\nexport const Time = Schema.Struct({\n  started: Schema.Finite,\n  completed: optional(Schema.Finite),\n})\nexport interface Time extends Schema.Schema.Type<typeof Time> {}\n\n// Opaque caller-supplied tags echoed back on Info and events. The Shell service never interprets\n// these; callers (e.g. ShellTool stores the originating session ID) use them to filter or correlate.\nexport const Metadata = Schema.Record(Schema.String, Schema.Unknown)\nexport type Metadata = typeof Metadata.Type\n\nexport const Info = Schema.Struct({\n  id: ID,\n  status: Status,\n  command: Schema.String,\n  cwd: Schema.String,\n  shell: Schema.String,\n  // Absolute path of the file capturing combined stdout/stderr. Page through it via `output`.\n  file: Schema.String,\n  pid: optional(NonNegativeInt),\n  exit: optional(Schema.Finite),\n  // Always present; defaults to an empty object when the creator supplies no metadata.\n  metadata: Metadata,\n  time: Time,\n}).annotate({ identifier: \"Shell.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nconst Created = ephemeral({ type: \"shell.created\", schema: { info: Info } })\nconst Exited = ephemeral({ type: \"shell.exited\", schema: { id: ID, exit: optional(Schema.Finite), status: Status } })\nconst Deleted = ephemeral({ type: \"shell.deleted\", schema: { id: ID } })\nexport const Event = { Created, Exited, Deleted, Definitions: inventory(Created, Exited, Deleted) }\n\nexport const CreateInput = Schema.Struct({\n  command: Schema.String,\n  cwd: optional(Schema.String),\n  timeout: NonNegativeInt,\n  metadata: optional(Metadata),\n})\nexport interface CreateInput extends Schema.Schema.Type<typeof CreateInput> {}\n\nexport const OutputInput = Schema.Struct({\n  cursor: optional(NonNegativeInt),\n  limit: optional(NonNegativeInt),\n})\nexport interface OutputInput extends Schema.Schema.Type<typeof OutputInput> {}\n\nexport const Output = Schema.Struct({\n  output: Schema.String,\n  // Absolute cursor after this page. Equals `size` once fully caught up.\n  cursor: NonNegativeInt,\n  // Total bytes captured so far. A consumer has more to page while `cursor < size`.\n  size: NonNegativeInt,\n  truncated: Schema.Boolean,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n",
-    "export * as SessionError from \"./session-error.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\n\nexport interface Error extends Schema.Schema.Type<typeof Error> {}\nexport const Error = Schema.Struct({\n  type: Schema.String,\n  message: Schema.String,\n  status: Schema.Int.check(Schema.isBetween({ minimum: 100, maximum: 599 })).pipe(optional),\n}).annotate({ identifier: \"Session.StructuredError\" })\n",
-    "import { Schema } from \"effect\"\nimport { descending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\n\nexport const SessionID = Schema.String.check(Schema.isStartsWith(\"ses\")).pipe(\n  Schema.brand(\"SessionID\"),\n  statics((schema) => {\n    const create = () => schema.make(\"ses_\" + descending())\n    return {\n      create,\n      descending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n    }\n  }),\n)\nexport type SessionID = typeof SessionID.Type\n",
-    "export * as Permission from \"./permission.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"per\")).pipe(\n  Schema.brand(\"Permission.ID\"),\n  statics((schema) => ({ create: (id?: string) => schema.make(id ?? \"per_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Source = Schema.Union([\n  Schema.Struct({\n    type: Schema.Literal(\"tool\"),\n    messageID: Schema.String,\n    callID: Schema.String,\n  }),\n]).annotate({ identifier: \"Permission.Source\" })\nexport type Source = typeof Source.Type\n\nconst RequestFields = {\n  sessionID: SessionID,\n  action: Schema.String,\n  resources: Schema.Array(Schema.String),\n  save: Schema.Array(Schema.String).pipe(optional),\n  metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n  source: Source.pipe(optional),\n}\n\nexport const Request = Schema.Struct({\n  id: ID,\n  ...RequestFields,\n}).annotate({ identifier: \"Permission.Request\" })\nexport interface Request extends Schema.Schema.Type<typeof Request> {}\n\nexport const Reply = Schema.Literals([\"once\", \"always\", \"reject\"]).annotate({ identifier: \"Permission.Reply\" })\nexport type Reply = typeof Reply.Type\n\nconst Asked = ephemeral({ type: \"permission.asked\", schema: Request.fields })\nconst Replied = ephemeral({\n  type: \"permission.replied\",\n  schema: {\n    sessionID: SessionID,\n    requestID: ID,\n    reply: Reply,\n  },\n})\nexport const Event = { Asked, Replied, Definitions: inventory(Asked, Replied) }\n\nexport const Effect = Schema.Literals([\"allow\", \"deny\", \"ask\"]).annotate({ identifier: \"Permission.Effect\" })\nexport type Effect = typeof Effect.Type\n\nexport interface Rule extends Schema.Schema.Type<typeof Rule> {}\nexport const Rule = Schema.Struct({\n  action: Schema.String,\n  resource: Schema.String,\n  effect: Effect,\n}).annotate({ identifier: \"Permission.Rule\" })\n\nexport const Ruleset = Schema.Array(Rule).annotate({ identifier: \"Permission.Ruleset\" })\nexport type Ruleset = typeof Ruleset.Type\n",
-    "export * as Agent from \"./agent.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Permission } from \"./permission.js\"\nimport { Provider } from \"./provider.js\"\nimport { PositiveInt, statics } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"agent.updated\", schema: {} })\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Agent.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Agent.Name\"))\nexport type Name = typeof Name.Type\n\nexport const Color = Schema.String.annotate({ identifier: \"Agent.Color\" })\nexport type Color = typeof Color.Type\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  id: ID,\n  name: Name,\n  model: Model.Ref.pipe(optional),\n  request: Provider.Request,\n  system: Schema.String.pipe(optional),\n  description: Schema.String.pipe(optional),\n  mode: Schema.Literals([\"subagent\", \"primary\", \"all\"]),\n  hidden: Schema.Boolean,\n  color: Color.pipe(optional),\n  steps: PositiveInt.pipe(optional),\n  permissions: Permission.Ruleset,\n})\n  .annotate({ identifier: \"Agent.Info\" })\n  .pipe(\n    statics(() => ({\n      empty: (id: ID) =>\n        ({\n          id,\n          name: Name.make(id),\n          request: { settings: {}, headers: {}, body: {} },\n          mode: \"all\",\n          hidden: false,\n          permissions: [\n            { action: \"*\", resource: \"*\", effect: \"allow\" },\n            { action: \"external_directory\", resource: \"*\", effect: \"ask\" },\n          ],\n        }) satisfies Info,\n    })),\n  )\n\nexport const Event = {\n  Updated,\n  Definitions: inventory(Updated),\n}\n",
-    "export * as Skill from \"./skill.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { AbsolutePath } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Skill.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Skill.Name\"))\nexport type Name = typeof Name.Type\n\nexport interface DirectorySource extends Schema.Schema.Type<typeof DirectorySource> {}\nexport const DirectorySource = Schema.Struct({\n  type: Schema.tag(\"directory\"),\n  path: AbsolutePath,\n}).annotate({ identifier: \"Skill.DirectorySource\" })\n\nexport interface UrlSource extends Schema.Schema.Type<typeof UrlSource> {}\nexport const UrlSource = Schema.Struct({\n  type: Schema.tag(\"url\"),\n  url: Schema.String,\n}).annotate({ identifier: \"Skill.UrlSource\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  id: ID,\n  name: Name,\n  description: Schema.String.pipe(optional),\n  slash: Schema.Boolean.pipe(optional),\n  autoinvoke: Schema.Boolean.pipe(optional),\n  location: AbsolutePath,\n  content: Schema.String,\n}).annotate({ identifier: \"Skill.Info\" })\n\nconst Updated = ephemeral({ type: \"skill.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface EmbeddedSource extends Schema.Schema.Type<typeof EmbeddedSource> {}\nexport const EmbeddedSource = Schema.Struct({\n  type: Schema.tag(\"embedded\"),\n  skill: Schema.suspend(() => Info),\n}).annotate({ identifier: \"Skill.EmbeddedSource\" })\n\nexport type Source = DirectorySource | UrlSource | EmbeddedSource\nexport const Source = Object.assign(\n  Schema.Union([DirectorySource, UrlSource, EmbeddedSource]).pipe(\n    Schema.toTaggedUnion(\"type\"),\n    Schema.annotate({ identifier: \"Skill.Source\" }),\n  ),\n  {\n    equals: (a: Source, b: Source) => {\n      if (a.type !== b.type) return false\n      if (a.type === \"directory\" && b.type === \"directory\") return a.path === b.path\n      if (a.type === \"url\" && b.type === \"url\") return a.url === b.url\n      if (a.type === \"embedded\" && b.type === \"embedded\") return a.skill.id === b.skill.id\n      return false\n    },\n    key: (source: Source) =>\n      source.type === \"directory\"\n        ? `directory:${source.path}`\n        : source.type === \"url\"\n          ? `url:${source.url}`\n          : `embedded:${source.skill.id}`,\n  },\n)\n",
-    "export * as Snapshot from \"./snapshot.js\"\n\nimport { Schema } from \"effect\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Snapshot.ID\"))\nexport type ID = typeof ID.Type\n",
-    "export * as TokenUsage from \"./token-usage.js\"\n\nimport { Schema } from \"effect\"\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  input: Schema.Finite,\n  output: Schema.Finite,\n  reasoning: Schema.Finite,\n  cache: Schema.Struct({\n    read: Schema.Finite,\n    write: Schema.Finite,\n  }),\n}).annotate({ identifier: \"TokenUsage.Info\" })\n",
-    "export * as SessionMessage from \"./session-message.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { Content } from \"./tool.js\"\nimport { Model } from \"./model.js\"\nimport { Prompt } from \"./prompt.js\"\nimport { DateTimeUtcFromMillis, PositiveInt, RelativePath, statics } from \"./schema.js\"\nimport { ascending } from \"./identifier.js\"\nimport { Event } from \"./event.js\"\nimport { Shell as ShellSchema } from \"./shell.js\"\nimport { FinishReason } from \"./llm.js\"\nimport { SessionError } from \"./session-error.js\"\nimport { Agent } from \"./agent.js\"\nimport { Skill as SkillSchema } from \"./skill.js\"\nimport { Money } from \"./money.js\"\nimport { Snapshot } from \"./snapshot.js\"\nimport { TokenUsage } from \"./token-usage.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"msg_\")).pipe(\n  Schema.brand(\"Session.Message.ID\"),\n  statics((schema) => ({\n    create: () => schema.make(\"msg_\" + ascending()),\n    fromEvent: (eventID: Event.ID) => schema.make(eventID.replace(/^evt_/, \"msg_\")),\n  })),\n)\nexport type ID = typeof ID.Type\n\nconst Base = {\n  id: ID,\n  metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n  time: Schema.Struct({ created: DateTimeUtcFromMillis }),\n}\n\nexport const ProviderState = Schema.Record(Schema.String, Schema.Unknown).annotate({\n  identifier: \"Session.Message.ProviderState\",\n})\nexport type ProviderState = typeof ProviderState.Type\n\nexport interface AgentSelected extends Schema.Schema.Type<typeof AgentSelected> {}\nexport const AgentSelected = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"agent-switched\"),\n  agent: Agent.ID,\n}).annotate({ identifier: \"Session.Message.AgentSelected\" })\n\nexport interface ModelSelected extends Schema.Schema.Type<typeof ModelSelected> {}\nexport const ModelSelected = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"model-switched\"),\n  model: Model.Ref,\n  previous: Model.Ref.pipe(optional),\n}).annotate({ identifier: \"Session.Message.ModelSelected\" })\n\nexport interface User extends Schema.Schema.Type<typeof User> {}\nexport const User = Schema.Struct({\n  ...Base,\n  text: Prompt.fields.text,\n  files: Prompt.fields.files,\n  agents: Prompt.fields.agents,\n  type: Schema.tag(\"user\"),\n}).annotate({ identifier: \"Session.Message.User\" })\n\nexport interface Synthetic extends Schema.Schema.Type<typeof Synthetic> {}\nexport const Synthetic = Schema.Struct({\n  ...Base,\n  text: Schema.String,\n  description: Schema.String.pipe(optional),\n  type: Schema.tag(\"synthetic\"),\n}).annotate({ identifier: \"Session.Message.Synthetic\" })\n\nexport interface System extends Schema.Schema.Type<typeof System> {}\nexport const System = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"system\"),\n  text: Schema.String,\n}).annotate({ identifier: \"Session.Message.System\" })\n\nexport interface Skill extends Schema.Schema.Type<typeof Skill> {}\nexport const Skill = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"skill\"),\n  skill: SkillSchema.ID,\n  name: SkillSchema.Name,\n  text: Schema.String,\n}).annotate({ identifier: \"Session.Message.Skill\" })\n\nexport interface Shell extends Schema.Schema.Type<typeof Shell> {}\nexport const Shell = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"shell\"),\n  shellID: ShellSchema.ID,\n  command: Schema.String,\n  status: ShellSchema.Status,\n  exit: Schema.Number.pipe(optional),\n  output: ShellSchema.Output.pipe(optional),\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }),\n}).annotate({ identifier: \"Session.Message.Shell\" })\n\nexport interface ToolStateStreaming extends Schema.Schema.Type<typeof ToolStateStreaming> {}\nexport const ToolStateStreaming = Schema.Struct({\n  status: Schema.tag(\"streaming\"),\n  input: Schema.String,\n}).annotate({ identifier: \"Session.Message.ToolState.Streaming\" })\n\nexport interface ToolStateRunning extends Schema.Schema.Type<typeof ToolStateRunning> {}\nexport const ToolStateRunning = Schema.Struct({\n  status: Schema.tag(\"running\"),\n  input: Schema.Record(Schema.String, Schema.Unknown),\n  metadata: Schema.Record(Schema.String, Schema.Json),\n}).annotate({ identifier: \"Session.Message.ToolState.Running\" })\n\nexport interface ToolStateCompleted extends Schema.Schema.Type<typeof ToolStateCompleted> {}\nexport const ToolStateCompleted = Schema.Struct({\n  status: Schema.tag(\"completed\"),\n  input: Schema.Record(Schema.String, Schema.Unknown),\n  content: Schema.NonEmptyArray(Content),\n  metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Completed\" })\n\nexport interface ToolStateError extends Schema.Schema.Type<typeof ToolStateError> {}\nexport const ToolStateError = Schema.Struct({\n  status: Schema.tag(\"error\"),\n  input: Schema.Record(Schema.String, Schema.Unknown),\n  error: SessionError.Error,\n  content: Schema.NonEmptyArray(Content).pipe(optional),\n  metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Error\" })\n\nexport const ToolState = Schema.Union([ToolStateStreaming, ToolStateRunning, ToolStateCompleted, ToolStateError]).pipe(\n  Schema.toTaggedUnion(\"status\"),\n)\nexport type ToolState = ToolStateStreaming | ToolStateRunning | ToolStateCompleted | ToolStateError\n\nexport interface AssistantTool extends Schema.Schema.Type<typeof AssistantTool> {}\nexport const AssistantTool = Schema.Struct({\n  type: Schema.tag(\"tool\"),\n  id: Schema.String,\n  name: Schema.String,\n  executed: Schema.Boolean.pipe(optional),\n  providerState: ProviderState.pipe(optional),\n  providerResultState: ProviderState.pipe(optional),\n  state: ToolState,\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    ran: DateTimeUtcFromMillis.pipe(optional),\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }),\n}).annotate({ identifier: \"Session.Message.Assistant.Tool\" })\n\nexport interface AssistantText extends Schema.Schema.Type<typeof AssistantText> {}\nexport const AssistantText = Schema.Struct({\n  type: Schema.tag(\"text\"),\n  text: Schema.String,\n  state: ProviderState.pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Text\" })\n\nexport interface AssistantReasoning extends Schema.Schema.Type<typeof AssistantReasoning> {}\nexport const AssistantReasoning = Schema.Struct({\n  type: Schema.tag(\"reasoning\"),\n  text: Schema.String,\n  state: ProviderState.pipe(optional),\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }).pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Reasoning\" })\n\nexport const AssistantContent = Schema.Union([AssistantText, AssistantReasoning, AssistantTool]).pipe(\n  Schema.toTaggedUnion(\"type\"),\n)\nexport type AssistantContent = AssistantText | AssistantReasoning | AssistantTool\n\nexport interface AssistantRetry extends Schema.Schema.Type<typeof AssistantRetry> {}\nexport const AssistantRetry = Schema.Struct({\n  attempt: PositiveInt,\n  at: DateTimeUtcFromMillis,\n  error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Assistant.Retry\" })\n\nexport interface Assistant extends Schema.Schema.Type<typeof Assistant> {}\nexport const Assistant = Schema.Struct({\n  ...Base,\n  type: Schema.tag(\"assistant\"),\n  agent: Agent.ID,\n  model: Model.Ref,\n  content: AssistantContent.pipe(Schema.Array),\n  snapshot: Schema.Struct({\n    start: Snapshot.ID.pipe(optional),\n    end: Snapshot.ID.pipe(optional),\n    files: Schema.Array(RelativePath).pipe(optional),\n  }).pipe(optional),\n  finish: FinishReason.pipe(optional),\n  cost: Money.USD.pipe(optional),\n  tokens: TokenUsage.Info.pipe(optional),\n  error: SessionError.Error.pipe(optional),\n  retry: AssistantRetry.pipe(optional),\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    completed: DateTimeUtcFromMillis.pipe(optional),\n  }),\n}).annotate({ identifier: \"Session.Message.Assistant\" })\n\nconst CompactionBase = { type: Schema.tag(\"compaction\"), ...Base }\n\nexport interface CompactionRunning extends Schema.Schema.Type<typeof CompactionRunning> {}\nexport const CompactionRunning = Schema.Struct({\n  ...CompactionBase,\n  status: Schema.tag(\"running\"),\n  reason: Schema.Literals([\"auto\", \"manual\"]),\n  summary: Schema.String,\n  recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Running\" })\n\nexport interface CompactionCompleted extends Schema.Schema.Type<typeof CompactionCompleted> {}\nexport const CompactionCompleted = Schema.Struct({\n  ...CompactionBase,\n  status: Schema.tag(\"completed\"),\n  reason: Schema.Literals([\"auto\", \"manual\"]),\n  summary: Schema.String,\n  recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Completed\" })\n\nexport interface CompactionFailed extends Schema.Schema.Type<typeof CompactionFailed> {}\nexport const CompactionFailed = Schema.Struct({\n  ...CompactionBase,\n  status: Schema.tag(\"failed\"),\n  reason: Schema.Literals([\"auto\", \"manual\"]),\n  error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Compaction.Failed\" })\n\nexport const Compaction = Schema.Union([CompactionRunning, CompactionCompleted, CompactionFailed]).pipe(\n  Schema.toTaggedUnion(\"status\"),\n  Schema.annotate({ identifier: \"Session.Message.Compaction\" }),\n)\nexport type Compaction = CompactionRunning | CompactionCompleted | CompactionFailed\n\nexport const Info = Schema.Union([\n  AgentSelected,\n  ModelSelected,\n  User,\n  Synthetic,\n  System,\n  Skill,\n  Shell,\n  Assistant,\n  Compaction,\n]).annotate({ identifier: \"Session.Message.Info\" })\nexport type Info = AgentSelected | ModelSelected | User | Synthetic | System | Skill | Shell | Assistant | Compaction\nexport type Type = Info[\"type\"]\n"
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-    "import { text } from \"node:stream/consumers\"\n\nexport function readStdin() {\n  return text(process.stdin)\n}\n",
-    "import type { LocationGetOutput, ModelRef, OpenCodeClient, SessionInfo } from \"@opencode-ai/client/promise\"\nimport { Model } from \"@opencode-ai/schema/model\"\n\nconst SESSION_PAGE_LIMIT = 50\n\nexport type SessionTarget = {\n  session: SessionInfo\n  location: LocationGetOutput\n  model: ModelRef | undefined\n  agent: string | undefined\n  resume: boolean\n}\n\nexport type SessionTargetPreparation = (input: {\n  client: OpenCodeClient\n  location: LocationGetOutput\n  session: SessionInfo | undefined\n  model: ModelRef | undefined\n  agent: string | undefined\n  signal?: AbortSignal\n}) => Promise<{ model: ModelRef | undefined; agent: string | undefined }>\n\nexport class SessionTargetMutationError extends Error {\n  override readonly name = \"SessionTargetMutationError\"\n\n  constructor(cause: unknown) {\n    super(cause instanceof Error ? cause.message : \"Session target mutation failed\", { cause })\n  }\n}\n\nexport async function resolveSessionTarget(input: {\n  client: OpenCodeClient\n  location?: { directory?: string; workspace?: string }\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: ModelRef\n  agent?: string\n  prepare: SessionTargetPreparation\n  signal?: AbortSignal\n}): Promise<SessionTarget> {\n  const selection = await selectSession(input)\n  const selected = selection.session\n  const location =\n    selection.location ??\n    (await resolveLocation(\n      input.client,\n      selected ? { directory: selected.location.directory, workspace: selected.location.workspaceID } : input.location,\n      input.signal,\n    ))\n  const prepared = await input.prepare({\n    client: input.client,\n    location,\n    session: selected,\n    model: input.model ?? selected?.model,\n    agent: input.agent ?? selected?.agent,\n    signal: input.signal,\n  })\n  const session =\n    selected ??\n    (await input.client.session\n      .create(\n        {\n          agent: prepared.agent,\n          model: prepared.model,\n          location: { directory: location.directory, workspaceID: location.workspaceID },\n        },\n        ...requestOptions(input.signal),\n      )\n      .catch((error) => {\n        throw new SessionTargetMutationError(error)\n      }))\n  return {\n    session,\n    location,\n    model: prepared.model,\n    agent: prepared.agent ?? session.agent,\n    resume: selected !== undefined,\n  }\n}\n\nexport function parseSessionTargetModel(value?: string): ModelRef | undefined {\n  if (!value) return\n  const model = Model.Ref.parse(value)\n  return { providerID: model.providerID, id: model.id, variant: model.variant }\n}\n\nasync function selectSession(input: {\n  client: OpenCodeClient\n  location?: { directory?: string; workspace?: string }\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  signal?: AbortSignal\n}) {\n  const explicit = input.session\n    ? await input.client.session.get({ sessionID: input.session }, ...requestOptions(input.signal)).catch((error) => {\n        if (error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"SessionNotFoundError\")\n          return undefined\n        throw error\n      })\n    : undefined\n  if (input.session && !explicit) throw new Error(\"Session not found\")\n  if (explicit)\n    return {\n      session: input.fork\n        ? await input.client.session\n            .fork({ sessionID: explicit.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n            .catch((error) => {\n              throw new SessionTargetMutationError(error)\n            })\n        : explicit,\n    }\n  if (!input.continue) return { session: undefined }\n\n  const location = await resolveLocation(input.client, input.location, input.signal)\n  const selected = await latestSession(input.client, location, undefined, input.signal)\n  if (!selected) return { session: undefined, location }\n  return {\n    session: input.fork\n      ? await input.client.session\n          .fork({ sessionID: selected.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n          .catch((error) => {\n            throw new SessionTargetMutationError(error)\n          })\n      : selected,\n  }\n}\n\nasync function latestSession(\n  client: OpenCodeClient,\n  location: LocationGetOutput,\n  cursor?: string,\n  signal?: AbortSignal,\n): Promise<SessionInfo | undefined> {\n  const page = await client.session.list(\n    {\n      directory: location.directory,\n      workspace: location.workspaceID,\n      parentID: null,\n      limit: SESSION_PAGE_LIMIT,\n      order: \"desc\",\n      ...(cursor ? { cursor } : {}),\n    },\n    ...requestOptions(signal),\n  )\n  const selected = page.data.find(\n    (session) =>\n      session.location.directory === location.directory && session.location.workspaceID === location.workspaceID,\n  )\n  if (selected) return selected\n  if (!page.cursor.next || page.data.length === 0) return\n  return latestSession(client, location, page.cursor.next, signal)\n}\n\nfunction resolveLocation(\n  client: OpenCodeClient,\n  location?: { directory?: string; workspace?: string },\n  signal?: AbortSignal,\n) {\n  if (!location && !signal) return client.location.get()\n  if (!location) return client.location.get(undefined, { signal })\n  return client.location.get({ location }, ...requestOptions(signal))\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n  return signal ? [{ signal }] : []\n}\n"
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bin/chunk-v27f3d01.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/uqr@0.1.3/node_modules/uqr/dist/index.mjs"],
-  "sourcesContent": [
-    "var QrCodeDataType = /* @__PURE__ */ ((QrCodeDataType2) => {\n  QrCodeDataType2[QrCodeDataType2[\"Border\"] = -1] = \"Border\";\n  QrCodeDataType2[QrCodeDataType2[\"Data\"] = 0] = \"Data\";\n  QrCodeDataType2[QrCodeDataType2[\"Function\"] = 1] = \"Function\";\n  QrCodeDataType2[QrCodeDataType2[\"Position\"] = 2] = \"Position\";\n  QrCodeDataType2[QrCodeDataType2[\"Timing\"] = 3] = \"Timing\";\n  QrCodeDataType2[QrCodeDataType2[\"Alignment\"] = 4] = \"Alignment\";\n  return QrCodeDataType2;\n})(QrCodeDataType || {});\n\nconst LOW = [0, 1];\nconst MEDIUM = [1, 0];\nconst QUARTILE = [2, 3];\nconst HIGH = [3, 2];\nconst EccMap = {\n  L: LOW,\n  M: MEDIUM,\n  Q: QUARTILE,\n  H: HIGH\n};\nconst NUMERIC_REGEX = /^\\d*$/;\nconst ALPHANUMERIC_REGEX = /^[A-Z0-9 $%*+./:-]*$/;\nconst ALPHANUMERIC_CHARSET = \"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ $%*+-./:\";\nconst MIN_VERSION = 1;\nconst MAX_VERSION = 40;\nconst PENALTY_N1 = 3;\nconst PENALTY_N2 = 3;\nconst PENALTY_N3 = 40;\nconst PENALTY_N4 = 10;\nconst ECC_CODEWORDS_PER_BLOCK = [\n  // Version: (note that index 0 is for padding, and is set to an illegal value)\n  // 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40    Error correction level\n  [-1, 7, 10, 15, 20, 26, 18, 20, 24, 30, 18, 20, 24, 26, 30, 22, 24, 28, 30, 28, 28, 28, 28, 30, 30, 26, 28, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30],\n  // Low\n  [-1, 10, 16, 26, 18, 24, 16, 18, 22, 22, 26, 30, 22, 22, 24, 24, 28, 28, 26, 26, 26, 26, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28],\n  // Medium\n  [-1, 13, 22, 18, 26, 18, 24, 18, 22, 20, 24, 28, 26, 24, 20, 30, 24, 28, 28, 26, 30, 28, 30, 30, 30, 30, 28, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30],\n  // Quartile\n  [-1, 17, 28, 22, 16, 22, 28, 26, 26, 24, 28, 24, 28, 22, 24, 24, 30, 28, 28, 26, 28, 30, 24, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30]\n  // High\n];\nconst NUM_ERROR_CORRECTION_BLOCKS = [\n  // Version: (note that index 0 is for padding, and is set to an illegal value)\n  // 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40    Error correction level\n  [-1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 7, 8, 8, 9, 9, 10, 12, 12, 12, 13, 14, 15, 16, 17, 18, 19, 19, 20, 21, 22, 24, 25],\n  // Low\n  [-1, 1, 1, 1, 2, 2, 4, 4, 4, 5, 5, 5, 8, 9, 9, 10, 10, 11, 13, 14, 16, 17, 17, 18, 20, 21, 23, 25, 26, 28, 29, 31, 33, 35, 37, 38, 40, 43, 45, 47, 49],\n  // Medium\n  [-1, 1, 1, 2, 2, 4, 4, 6, 6, 8, 8, 8, 10, 12, 16, 12, 17, 16, 18, 21, 20, 23, 23, 25, 27, 29, 34, 34, 35, 38, 40, 43, 45, 48, 51, 53, 56, 59, 62, 65, 68],\n  // Quartile\n  [-1, 1, 1, 2, 4, 4, 4, 5, 6, 8, 8, 11, 11, 16, 16, 18, 16, 19, 21, 25, 25, 25, 34, 30, 32, 35, 37, 40, 42, 45, 48, 51, 54, 57, 60, 63, 66, 70, 74, 77, 81]\n  // High\n];\nclass QrCode {\n  /* -- Constructor (low level) and fields -- */\n  // Creates a new QR Code with the given version number,\n  // error correction level, data codeword bytes, and mask number.\n  // This is a low-level API that most users should not use directly.\n  // A mid-level API is the encodeSegments() function.\n  constructor(version, ecc, dataCodewords, msk) {\n    this.version = version;\n    this.ecc = ecc;\n    if (version < MIN_VERSION || version > MAX_VERSION)\n      throw new RangeError(\"Version value out of range\");\n    if (msk < -1 || msk > 7)\n      throw new RangeError(\"Mask value out of range\");\n    this.size = version * 4 + 17;\n    const row = Array.from({ length: this.size }).fill(false);\n    for (let i = 0; i < this.size; i++) {\n      this.modules.push(row.slice());\n      this.types.push(row.map(() => 0));\n    }\n    this.drawFunctionPatterns();\n    const allCodewords = this.addEccAndInterleave(dataCodewords);\n    this.drawCodewords(allCodewords);\n    if (msk === -1) {\n      let minPenalty = 1e9;\n      for (let i = 0; i < 8; i++) {\n        this.applyMask(i);\n        this.drawFormatBits(i);\n        const penalty = this.getPenaltyScore();\n        if (penalty < minPenalty) {\n          msk = i;\n          minPenalty = penalty;\n        }\n        this.applyMask(i);\n      }\n    }\n    this.mask = msk;\n    this.applyMask(msk);\n    this.drawFormatBits(msk);\n  }\n  /* -- Fields -- */\n  // The width and height of this QR Code, measured in modules, between\n  // 21 and 177 (inclusive). This is equal to version * 4 + 17.\n  size;\n  // The index of the mask pattern used in this QR Code, which is between 0 and 7 (inclusive).\n  // Even if a QR Code is created with automatic masking requested (mask = -1),\n  // the resulting object still has a mask value between 0 and 7.\n  mask;\n  // The modules of this QR Code (false = light, true = dark).\n  // Immutable after constructor finishes. Accessed through getModule().\n  modules = [];\n  types = [];\n  /* -- Accessor methods -- */\n  // Returns the color of the module (pixel) at the given coordinates, which is false\n  // for light or true for dark. The top left corner has the coordinates (x=0, y=0).\n  // If the given coordinates are out of bounds, then false (light) is returned.\n  getModule(x, y) {\n    return x >= 0 && x < this.size && y >= 0 && y < this.size && this.modules[y][x];\n  }\n  /* -- Private helper methods for constructor: Drawing function modules -- */\n  // Reads this object's version field, and draws and marks all function modules.\n  drawFunctionPatterns() {\n    for (let i = 0; i < this.size; i++) {\n      this.setFunctionModule(6, i, i % 2 === 0, QrCodeDataType.Timing);\n      this.setFunctionModule(i, 6, i % 2 === 0, QrCodeDataType.Timing);\n    }\n    this.drawFinderPattern(3, 3);\n    this.drawFinderPattern(this.size - 4, 3);\n    this.drawFinderPattern(3, this.size - 4);\n    const alignPatPos = this.getAlignmentPatternPositions();\n    const numAlign = alignPatPos.length;\n    for (let i = 0; i < numAlign; i++) {\n      for (let j = 0; j < numAlign; j++) {\n        if (!(i === 0 && j === 0 || i === 0 && j === numAlign - 1 || i === numAlign - 1 && j === 0))\n          this.drawAlignmentPattern(alignPatPos[i], alignPatPos[j]);\n      }\n    }\n    this.drawFormatBits(0);\n    this.drawVersion();\n  }\n  // Draws two copies of the format bits (with its own error correction code)\n  // based on the given mask and this object's error correction level field.\n  drawFormatBits(mask) {\n    const data = this.ecc[1] << 3 | mask;\n    let rem = data;\n    for (let i = 0; i < 10; i++)\n      rem = rem << 1 ^ (rem >>> 9) * 1335;\n    const bits = (data << 10 | rem) ^ 21522;\n    for (let i = 0; i <= 5; i++)\n      this.setFunctionModule(8, i, getBit(bits, i));\n    this.setFunctionModule(8, 7, getBit(bits, 6));\n    this.setFunctionModule(8, 8, getBit(bits, 7));\n    this.setFunctionModule(7, 8, getBit(bits, 8));\n    for (let i = 9; i < 15; i++)\n      this.setFunctionModule(14 - i, 8, getBit(bits, i));\n    for (let i = 0; i < 8; i++)\n      this.setFunctionModule(this.size - 1 - i, 8, getBit(bits, i));\n    for (let i = 8; i < 15; i++)\n      this.setFunctionModule(8, this.size - 15 + i, getBit(bits, i));\n    this.setFunctionModule(8, this.size - 8, true);\n  }\n  // Draws two copies of the version bits (with its own error correction code),\n  // based on this object's version field, iff 7 <= version <= 40.\n  drawVersion() {\n    if (this.version < 7)\n      return;\n    let rem = this.version;\n    for (let i = 0; i < 12; i++)\n      rem = rem << 1 ^ (rem >>> 11) * 7973;\n    const bits = this.version << 12 | rem;\n    for (let i = 0; i < 18; i++) {\n      const color = getBit(bits, i);\n      const a = this.size - 11 + i % 3;\n      const b = Math.floor(i / 3);\n      this.setFunctionModule(a, b, color);\n      this.setFunctionModule(b, a, color);\n    }\n  }\n  // Draws a 9*9 finder pattern including the border separator,\n  // with the center module at (x, y). Modules can be out of bounds.\n  drawFinderPattern(x, y) {\n    for (let dy = -4; dy <= 4; dy++) {\n      for (let dx = -4; dx <= 4; dx++) {\n        const dist = Math.max(Math.abs(dx), Math.abs(dy));\n        const xx = x + dx;\n        const yy = y + dy;\n        if (xx >= 0 && xx < this.size && yy >= 0 && yy < this.size)\n          this.setFunctionModule(xx, yy, dist !== 2 && dist !== 4, QrCodeDataType.Position);\n      }\n    }\n  }\n  // Draws a 5*5 alignment pattern, with the center module\n  // at (x, y). All modules must be in bounds.\n  drawAlignmentPattern(x, y) {\n    for (let dy = -2; dy <= 2; dy++) {\n      for (let dx = -2; dx <= 2; dx++) {\n        this.setFunctionModule(\n          x + dx,\n          y + dy,\n          Math.max(Math.abs(dx), Math.abs(dy)) !== 1,\n          QrCodeDataType.Alignment\n        );\n      }\n    }\n  }\n  // Sets the color of a module and marks it as a function module.\n  // Only used by the constructor. Coordinates must be in bounds.\n  setFunctionModule(x, y, isDark, type = QrCodeDataType.Function) {\n    this.modules[y][x] = isDark;\n    this.types[y][x] = type;\n  }\n  /* -- Private helper methods for constructor: Codewords and masking -- */\n  // Returns a new byte string representing the given data with the appropriate error correction\n  // codewords appended to it, based on this object's version and error correction level.\n  addEccAndInterleave(data) {\n    const ver = this.version;\n    const ecl = this.ecc;\n    if (data.length !== getNumDataCodewords(ver, ecl))\n      throw new RangeError(\"Invalid argument\");\n    const numBlocks = NUM_ERROR_CORRECTION_BLOCKS[ecl[0]][ver];\n    const blockEccLen = ECC_CODEWORDS_PER_BLOCK[ecl[0]][ver];\n    const rawCodewords = Math.floor(getNumRawDataModules(ver) / 8);\n    const numShortBlocks = numBlocks - rawCodewords % numBlocks;\n    const shortBlockLen = Math.floor(rawCodewords / numBlocks);\n    const blocks = [];\n    const rsDiv = reedSolomonComputeDivisor(blockEccLen);\n    for (let i = 0, k = 0; i < numBlocks; i++) {\n      const dat = data.slice(k, k + shortBlockLen - blockEccLen + (i < numShortBlocks ? 0 : 1));\n      k += dat.length;\n      const ecc = reedSolomonComputeRemainder(dat, rsDiv);\n      if (i < numShortBlocks)\n        dat.push(0);\n      blocks.push(dat.concat(ecc));\n    }\n    const result = [];\n    for (let i = 0; i < blocks[0].length; i++) {\n      blocks.forEach((block, j) => {\n        if (i !== shortBlockLen - blockEccLen || j >= numShortBlocks)\n          result.push(block[i]);\n      });\n    }\n    return result;\n  }\n  // Draws the given sequence of 8-bit codewords (data and error correction) onto the entire\n  // data area of this QR Code. Function modules need to be marked off before this is called.\n  drawCodewords(data) {\n    if (data.length !== Math.floor(getNumRawDataModules(this.version) / 8))\n      throw new RangeError(\"Invalid argument\");\n    let i = 0;\n    for (let right = this.size - 1; right >= 1; right -= 2) {\n      if (right === 6)\n        right = 5;\n      for (let vert = 0; vert < this.size; vert++) {\n        for (let j = 0; j < 2; j++) {\n          const x = right - j;\n          const upward = (right + 1 & 2) === 0;\n          const y = upward ? this.size - 1 - vert : vert;\n          if (!this.types[y][x] && i < data.length * 8) {\n            this.modules[y][x] = getBit(data[i >>> 3], 7 - (i & 7));\n            i++;\n          }\n        }\n      }\n    }\n  }\n  // XORs the codeword modules in this QR Code with the given mask pattern.\n  // The function modules must be marked and the codeword bits must be drawn\n  // before masking. Due to the arithmetic of XOR, calling applyMask() with\n  // the same mask value a second time will undo the mask. A final well-formed\n  // QR Code needs exactly one (not zero, two, etc.) mask applied.\n  applyMask(mask) {\n    if (mask < 0 || mask > 7)\n      throw new RangeError(\"Mask value out of range\");\n    for (let y = 0; y < this.size; y++) {\n      for (let x = 0; x < this.size; x++) {\n        let invert;\n        switch (mask) {\n          case 0:\n            invert = (x + y) % 2 === 0;\n            break;\n          case 1:\n            invert = y % 2 === 0;\n            break;\n          case 2:\n            invert = x % 3 === 0;\n            break;\n          case 3:\n            invert = (x + y) % 3 === 0;\n            break;\n          case 4:\n            invert = (Math.floor(x / 3) + Math.floor(y / 2)) % 2 === 0;\n            break;\n          case 5:\n            invert = x * y % 2 + x * y % 3 === 0;\n            break;\n          case 6:\n            invert = (x * y % 2 + x * y % 3) % 2 === 0;\n            break;\n          case 7:\n            invert = ((x + y) % 2 + x * y % 3) % 2 === 0;\n            break;\n          default:\n            throw new Error(\"Unreachable\");\n        }\n        if (!this.types[y][x] && invert)\n          this.modules[y][x] = !this.modules[y][x];\n      }\n    }\n  }\n  // Calculates and returns the penalty score based on state of this QR Code's current modules.\n  // This is used by the automatic mask choice algorithm to find the mask pattern that yields the lowest score.\n  getPenaltyScore() {\n    let result = 0;\n    for (let y = 0; y < this.size; y++) {\n      let runColor = false;\n      let runX = 0;\n      const runHistory = [0, 0, 0, 0, 0, 0, 0];\n      for (let x = 0; x < this.size; x++) {\n        if (this.modules[y][x] === runColor) {\n          runX++;\n          if (runX === 5)\n            result += PENALTY_N1;\n          else if (runX > 5)\n            result++;\n        } else {\n          this.finderPenaltyAddHistory(runX, runHistory);\n          if (!runColor)\n            result += this.finderPenaltyCountPatterns(runHistory) * PENALTY_N3;\n          runColor = this.modules[y][x];\n          runX = 1;\n        }\n      }\n      result += this.finderPenaltyTerminateAndCount(runColor, runX, runHistory) * PENALTY_N3;\n    }\n    for (let x = 0; x < this.size; x++) {\n      let runColor = false;\n      let runY = 0;\n      const runHistory = [0, 0, 0, 0, 0, 0, 0];\n      for (let y = 0; y < this.size; y++) {\n        if (this.modules[y][x] === runColor) {\n          runY++;\n          if (runY === 5)\n            result += PENALTY_N1;\n          else if (runY > 5)\n            result++;\n        } else {\n          this.finderPenaltyAddHistory(runY, runHistory);\n          if (!runColor)\n            result += this.finderPenaltyCountPatterns(runHistory) * PENALTY_N3;\n          runColor = this.modules[y][x];\n          runY = 1;\n        }\n      }\n      result += this.finderPenaltyTerminateAndCount(runColor, runY, runHistory) * PENALTY_N3;\n    }\n    for (let y = 0; y < this.size - 1; y++) {\n      for (let x = 0; x < this.size - 1; x++) {\n        const color = this.modules[y][x];\n        if (color === this.modules[y][x + 1] && color === this.modules[y + 1][x] && color === this.modules[y + 1][x + 1]) {\n          result += PENALTY_N2;\n        }\n      }\n    }\n    let dark = 0;\n    for (const row of this.modules)\n      dark = row.reduce((sum, color) => sum + (color ? 1 : 0), dark);\n    const total = this.size * this.size;\n    const k = Math.ceil(Math.abs(dark * 20 - total * 10) / total) - 1;\n    result += k * PENALTY_N4;\n    return result;\n  }\n  /* -- Private helper functions -- */\n  // Returns an ascending list of positions of alignment patterns for this version number.\n  // Each position is in the range [0,177), and are used on both the x and y axes.\n  // This could be implemented as lookup table of 40 variable-length lists of integers.\n  getAlignmentPatternPositions() {\n    if (this.version === 1) {\n      return [];\n    } else {\n      const numAlign = Math.floor(this.version / 7) + 2;\n      const step = this.version === 32 ? 26 : Math.ceil((this.version * 4 + 4) / (numAlign * 2 - 2)) * 2;\n      const result = [6];\n      for (let pos = this.size - 7; result.length < numAlign; pos -= step)\n        result.splice(1, 0, pos);\n      return result;\n    }\n  }\n  // Can only be called immediately after a light run is added, and\n  // returns either 0, 1, or 2. A helper function for getPenaltyScore().\n  finderPenaltyCountPatterns(runHistory) {\n    const n = runHistory[1];\n    const core = n > 0 && runHistory[2] === n && runHistory[3] === n * 3 && runHistory[4] === n && runHistory[5] === n;\n    return (core && runHistory[0] >= n * 4 && runHistory[6] >= n ? 1 : 0) + (core && runHistory[6] >= n * 4 && runHistory[0] >= n ? 1 : 0);\n  }\n  // Must be called at the end of a line (row or column) of modules. A helper function for getPenaltyScore().\n  finderPenaltyTerminateAndCount(currentRunColor, currentRunLength, runHistory) {\n    if (currentRunColor) {\n      this.finderPenaltyAddHistory(currentRunLength, runHistory);\n      currentRunLength = 0;\n    }\n    currentRunLength += this.size;\n    this.finderPenaltyAddHistory(currentRunLength, runHistory);\n    return this.finderPenaltyCountPatterns(runHistory);\n  }\n  // Pushes the given value to the front and drops the last value. A helper function for getPenaltyScore().\n  finderPenaltyAddHistory(currentRunLength, runHistory) {\n    if (runHistory[0] === 0)\n      currentRunLength += this.size;\n    runHistory.pop();\n    runHistory.unshift(currentRunLength);\n  }\n}\nfunction appendBits(val, len, bb) {\n  if (len < 0 || len > 31 || val >>> len !== 0)\n    throw new RangeError(\"Value out of range\");\n  for (let i = len - 1; i >= 0; i--)\n    bb.push(val >>> i & 1);\n}\nfunction getBit(x, i) {\n  return (x >>> i & 1) !== 0;\n}\nclass QrSegment {\n  // Creates a new QR Code segment with the given attributes and data.\n  // The character count (numChars) must agree with the mode and the bit buffer length,\n  // but the constraint isn't checked. The given bit buffer is cloned and stored.\n  constructor(mode, numChars, bitData) {\n    this.mode = mode;\n    this.numChars = numChars;\n    this.bitData = bitData;\n    if (numChars < 0)\n      throw new RangeError(\"Invalid argument\");\n    this.bitData = bitData.slice();\n  }\n  /* -- Methods -- */\n  // Returns a new copy of the data bits of this segment.\n  getData() {\n    return this.bitData.slice();\n  }\n}\nconst MODE_NUMERIC = [1, 10, 12, 14];\nconst MODE_ALPHANUMERIC = [2, 9, 11, 13];\nconst MODE_BYTE = [4, 8, 16, 16];\nfunction numCharCountBits(mode, ver) {\n  return mode[Math.floor((ver + 7) / 17) + 1];\n}\nfunction makeBytes(data) {\n  const bb = [];\n  for (const b of data)\n    appendBits(b, 8, bb);\n  return new QrSegment(MODE_BYTE, data.length, bb);\n}\nfunction makeNumeric(digits) {\n  if (!isNumeric(digits))\n    throw new RangeError(\"String contains non-numeric characters\");\n  const bb = [];\n  for (let i = 0; i < digits.length; ) {\n    const n = Math.min(digits.length - i, 3);\n    appendBits(Number.parseInt(digits.substring(i, i + n), 10), n * 3 + 1, bb);\n    i += n;\n  }\n  return new QrSegment(MODE_NUMERIC, digits.length, bb);\n}\nfunction makeAlphanumeric(text) {\n  if (!isAlphanumeric(text))\n    throw new RangeError(\"String contains unencodable characters in alphanumeric mode\");\n  const bb = [];\n  let i;\n  for (i = 0; i + 2 <= text.length; i += 2) {\n    let temp = ALPHANUMERIC_CHARSET.indexOf(text.charAt(i)) * 45;\n    temp += ALPHANUMERIC_CHARSET.indexOf(text.charAt(i + 1));\n    appendBits(temp, 11, bb);\n  }\n  if (i < text.length)\n    appendBits(ALPHANUMERIC_CHARSET.indexOf(text.charAt(i)), 6, bb);\n  return new QrSegment(MODE_ALPHANUMERIC, text.length, bb);\n}\nfunction makeSegments(text) {\n  if (text === \"\")\n    return [];\n  else if (isNumeric(text))\n    return [makeNumeric(text)];\n  else if (isAlphanumeric(text))\n    return [makeAlphanumeric(text)];\n  else\n    return [makeBytes(toUtf8ByteArray(text))];\n}\nfunction isNumeric(text) {\n  return NUMERIC_REGEX.test(text);\n}\nfunction isAlphanumeric(text) {\n  return ALPHANUMERIC_REGEX.test(text);\n}\nfunction getTotalBits(segs, version) {\n  let result = 0;\n  for (const seg of segs) {\n    const ccbits = numCharCountBits(seg.mode, version);\n    if (seg.numChars >= 1 << ccbits)\n      return Number.POSITIVE_INFINITY;\n    result += 4 + ccbits + seg.bitData.length;\n  }\n  return result;\n}\nfunction toUtf8ByteArray(str) {\n  str = encodeURI(str);\n  const result = [];\n  for (let i = 0; i < str.length; i++) {\n    if (str.charAt(i) !== \"%\") {\n      result.push(str.charCodeAt(i));\n    } else {\n      result.push(Number.parseInt(str.substring(i + 1, i + 3), 16));\n      i += 2;\n    }\n  }\n  return result;\n}\nfunction getNumRawDataModules(ver) {\n  if (ver < MIN_VERSION || ver > MAX_VERSION)\n    throw new RangeError(\"Version number out of range\");\n  let result = (16 * ver + 128) * ver + 64;\n  if (ver >= 2) {\n    const numAlign = Math.floor(ver / 7) + 2;\n    result -= (25 * numAlign - 10) * numAlign - 55;\n    if (ver >= 7)\n      result -= 36;\n  }\n  return result;\n}\nfunction getNumDataCodewords(ver, ecl) {\n  return Math.floor(getNumRawDataModules(ver) / 8) - ECC_CODEWORDS_PER_BLOCK[ecl[0]][ver] * NUM_ERROR_CORRECTION_BLOCKS[ecl[0]][ver];\n}\nfunction reedSolomonComputeDivisor(degree) {\n  if (degree < 1 || degree > 255)\n    throw new RangeError(\"Degree out of range\");\n  const result = [];\n  for (let i = 0; i < degree - 1; i++)\n    result.push(0);\n  result.push(1);\n  let root = 1;\n  for (let i = 0; i < degree; i++) {\n    for (let j = 0; j < result.length; j++) {\n      result[j] = reedSolomonMultiply(result[j], root);\n      if (j + 1 < result.length)\n        result[j] ^= result[j + 1];\n    }\n    root = reedSolomonMultiply(root, 2);\n  }\n  return result;\n}\nfunction reedSolomonComputeRemainder(data, divisor) {\n  const result = divisor.map((_) => 0);\n  for (const b of data) {\n    const factor = b ^ result.shift();\n    result.push(0);\n    divisor.forEach((coef, i) => result[i] ^= reedSolomonMultiply(coef, factor));\n  }\n  return result;\n}\nfunction reedSolomonMultiply(x, y) {\n  if (x >>> 8 !== 0 || y >>> 8 !== 0)\n    throw new RangeError(\"Byte out of range\");\n  let z = 0;\n  for (let i = 7; i >= 0; i--) {\n    z = z << 1 ^ (z >>> 7) * 285;\n    z ^= (y >>> i & 1) * x;\n  }\n  return z;\n}\nfunction encodeSegments(segs, ecl, minVersion = 1, maxVersion = 40, mask = -1, boostEcl = true) {\n  if (!(MIN_VERSION <= minVersion && minVersion <= maxVersion && maxVersion <= MAX_VERSION) || mask < -1 || mask > 7) {\n    throw new RangeError(\"Invalid value\");\n  }\n  let version;\n  let dataUsedBits;\n  for (version = minVersion; ; version++) {\n    const dataCapacityBits2 = getNumDataCodewords(version, ecl) * 8;\n    const usedBits = getTotalBits(segs, version);\n    if (usedBits <= dataCapacityBits2) {\n      dataUsedBits = usedBits;\n      break;\n    }\n    if (version >= maxVersion)\n      throw new RangeError(\"Data too long\");\n  }\n  for (const newEcl of [MEDIUM, QUARTILE, HIGH]) {\n    if (boostEcl && dataUsedBits <= getNumDataCodewords(version, newEcl) * 8)\n      ecl = newEcl;\n  }\n  const bb = [];\n  for (const seg of segs) {\n    appendBits(seg.mode[0], 4, bb);\n    appendBits(seg.numChars, numCharCountBits(seg.mode, version), bb);\n    for (const b of seg.getData())\n      bb.push(b);\n  }\n  const dataCapacityBits = getNumDataCodewords(version, ecl) * 8;\n  appendBits(0, Math.min(4, dataCapacityBits - bb.length), bb);\n  appendBits(0, (8 - bb.length % 8) % 8, bb);\n  for (let padByte = 236; bb.length < dataCapacityBits; padByte ^= 236 ^ 17)\n    appendBits(padByte, 8, bb);\n  const dataCodewords = Array.from({ length: Math.ceil(bb.length / 8) }, () => 0);\n  bb.forEach((b, i) => dataCodewords[i >>> 3] |= b << 7 - (i & 7));\n  return new QrCode(version, ecl, dataCodewords, mask);\n}\n\nfunction encode(data, options) {\n  const {\n    ecc = \"L\",\n    boostEcc = false,\n    minVersion = 1,\n    maxVersion = 40,\n    maskPattern = -1,\n    border = 1\n  } = options || {};\n  const segment = typeof data === \"string\" ? makeSegments(data) : Array.isArray(data) ? [makeBytes(data)] : void 0;\n  if (!segment)\n    throw new Error(`uqr only supports encoding string and binary data, but got: ${typeof data}`);\n  const qr = encodeSegments(\n    segment,\n    EccMap[ecc],\n    minVersion,\n    maxVersion,\n    maskPattern,\n    boostEcc\n  );\n  const result = addBorder({\n    version: qr.version,\n    maskPattern: qr.mask,\n    size: qr.size,\n    data: qr.modules,\n    types: qr.types\n  }, border);\n  if (options?.invert)\n    result.data = result.data.map((row) => row.map((mod) => !mod));\n  options?.onEncoded?.(result);\n  return result;\n}\nfunction addBorder(input, border = 1) {\n  if (!border)\n    return input;\n  const { size } = input;\n  const newSize = size + border * 2;\n  input.size = newSize;\n  input.data.forEach((row) => {\n    for (let i = 0; i < border; i++) {\n      row.unshift(false);\n      row.push(false);\n    }\n  });\n  for (let i = 0; i < border; i++) {\n    input.data.unshift(Array.from({ length: newSize }, (_) => false));\n    input.data.push(Array.from({ length: newSize }, (_) => false));\n  }\n  const b = QrCodeDataType.Border;\n  input.types.forEach((row) => {\n    for (let i = 0; i < border; i++) {\n      row.unshift(b);\n      row.push(b);\n    }\n  });\n  for (let i = 0; i < border; i++) {\n    input.types.unshift(Array.from({ length: newSize }, (_) => b));\n    input.types.push(Array.from({ length: newSize }, (_) => b));\n  }\n  return input;\n}\nfunction getDataAt(data, x, y, defaults = false) {\n  if (x < 0 || y < 0 || x >= data.length || y >= data.length)\n    return defaults;\n  return data[y][x];\n}\n\nfunction renderUnicode(data, options = {}) {\n  const {\n    whiteChar = \"\\u2588\",\n    blackChar = \"\\u2591\"\n  } = options;\n  const result = encode(data, options);\n  return result.data.map((row) => {\n    return row.map((mod) => mod ? blackChar : whiteChar).join(\"\");\n  }).join(\"\\n\");\n}\nfunction renderANSI(data, options = {}) {\n  return renderUnicode(data, {\n    ...options,\n    blackChar: \"\\x1B[40m\\u3000\\x1B[0m\",\n    whiteChar: \"\\x1B[47m\\u3000\\x1B[0m\"\n  });\n}\nfunction renderUnicodeCompact(data, options = {}) {\n  const palette = {\n    WHITE_ALL: \"\\u2588\",\n    WHITE_BLACK: \"\\u2580\",\n    BLACK_WHITE: \"\\u2584\",\n    BLACK_ALL: \" \"\n  };\n  const result = encode(data, options);\n  const WHITE = false;\n  const BLACK = true;\n  const at = (x, y) => getDataAt(result.data, x, y, true);\n  const lines = [];\n  let line = \"\";\n  for (let row = 0; row < result.size; row += 2) {\n    for (let col = 0; col < result.size; col++) {\n      if (at(col, row) === WHITE && at(col, row + 1) === WHITE)\n        line += palette.WHITE_ALL;\n      else if (at(col, row) === WHITE && at(col, row + 1) === BLACK)\n        line += palette.WHITE_BLACK;\n      else if (at(col, row) === BLACK && at(col, row + 1) === WHITE)\n        line += palette.BLACK_WHITE;\n      else\n        line += palette.BLACK_ALL;\n    }\n    lines.push(line);\n    line = \"\";\n  }\n  return lines.join(\"\\n\");\n}\n\nfunction escapeAttr(value) {\n  return value.replace(/&/g, \"&amp;\").replace(/\"/g, \"&quot;\").replace(/</g, \"&lt;\").replace(/>/g, \"&gt;\");\n}\nfunction renderSVG(data, options = {}) {\n  const result = encode(data, options);\n  const {\n    pixelSize = 10,\n    whiteColor = \"white\",\n    blackColor = \"black\"\n  } = options;\n  const height = result.size * pixelSize;\n  const width = result.size * pixelSize;\n  let svg = `<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 ${width} ${height}\">`;\n  const paths = [];\n  for (let row = 0; row < result.size; row++) {\n    for (let col = 0; col < result.size; col++) {\n      const x = col * pixelSize;\n      const y = row * pixelSize;\n      if (result.data[row][col])\n        paths.push(`M${x},${y}h${pixelSize}v${pixelSize}h-${pixelSize}z`);\n    }\n  }\n  svg += `<rect fill=\"${escapeAttr(whiteColor)}\" width=\"${width}\" height=\"${height}\"/>`;\n  svg += `<path fill=\"${escapeAttr(blackColor)}\" d=\"${paths.join(\"\")}\"/>`;\n  svg += \"</svg>\";\n  return svg;\n}\n\nexport { QrCodeDataType, encode, renderANSI, renderSVG, renderUnicode, renderUnicodeCompact };\n"
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-  "debugId": "E279E1BEF0FE8A6564756E2164756E21",
-  "names": []
-}

bin/chunk-v2wc23fp.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/plugin/list.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.list,\n  Effect.fn(\"cli.plugin.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n    const plugins = response.data.toSorted((a, b) => a.id.localeCompare(b.id))\n    if (plugins.length === 0) {\n      process.stdout.write(\"No plugins loaded\" + EOL)\n      return\n    }\n    process.stdout.write(plugins.map((plugin) => plugin.id).join(EOL) + EOL)\n  }),\n)\n"
-  ],
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-  "debugId": "5977C78B899EE8DD64756E2164756E21",
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-}

bin/chunk-vdfmrv6s.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/util/session.ts"],
-  "sourcesContent": [
-    "import type { ModelInfo, SessionMessageAssistant, SessionMessageInfo } from \"@opencode-ai/client\"\nimport { Locale } from \"./locale\"\n\nexport function lastAssistantWithUsage(messages: ReadonlyArray<SessionMessageInfo>, boundary?: string) {\n  const boundaryIndex = boundary ? messages.findIndex((message) => message.id === boundary) : -1\n  if (boundary && boundaryIndex === -1) return undefined\n  const end = boundaryIndex === -1 ? messages.length : boundaryIndex\n  const compactionIndex = messages.findLastIndex(\n    (message, index) => message.type === \"compaction\" && message.status === \"completed\" && index < end,\n  )\n  return messages.findLast(\n    (message, index): message is SessionMessageAssistant & { tokens: NonNullable<SessionMessageAssistant[\"tokens\"]> } =>\n      message.type === \"assistant\" && message.tokens !== undefined && index > compactionIndex && index < end,\n  )\n}\n\nexport function contextUsage(\n  messages: ReadonlyArray<SessionMessageInfo>,\n  models: ReadonlyArray<ModelInfo> | undefined,\n  boundary?: string,\n) {\n  const last = lastAssistantWithUsage(messages, boundary)\n  if (!last) return\n  const tokens =\n    last.tokens.input + last.tokens.output + last.tokens.reasoning + last.tokens.cache.read + last.tokens.cache.write\n  if (tokens <= 0) return\n  const model = models?.find((model) => model.providerID === last.model.providerID && model.id === last.model.id)\n  return {\n    tokens,\n    percent: model?.limit.context ? Math.round((tokens / model.limit.context) * 100) : undefined,\n  }\n}\n\nexport function formatContextUsage(tokens: number, percent?: number) {\n  const value = Locale.number(tokens)\n  return percent === undefined ? value : `${value} (${percent}%)`\n}\n"
-  ],
-  "mappings": ";oDAGO,SAAS,CAAsB,CAAC,EAA6C,EAAmB,CACrG,IAAM,EAAgB,EAAW,EAAS,UAAU,CAAC,IAAY,EAAQ,KAAO,CAAQ,EAAI,GAC5F,GAAI,GAAY,IAAkB,GAAI,OACtC,IAAM,EAAM,IAAkB,GAAK,EAAS,OAAS,EAC/C,EAAkB,EAAS,cAC/B,CAAC,EAAS,IAAU,EAAQ,OAAS,cAAgB,EAAQ,SAAW,aAAe,EAAQ,CACjG,EACA,OAAO,EAAS,SACd,CAAC,EAAS,IACR,EAAQ,OAAS,aAAe,EAAQ,SAAW,QAAa,EAAQ,GAAmB,EAAQ,CACvG,EAGK,SAAS,CAAY,CAC1B,EACA,EACA,EACA,CACA,IAAM,EAAO,EAAuB,EAAU,CAAQ,EACtD,GAAI,CAAC,EAAM,OACX,IAAM,EACJ,EAAK,OAAO,MAAQ,EAAK,OAAO,OAAS,EAAK,OAAO,UAAY,EAAK,OAAO,MAAM,KAAO,EAAK,OAAO,MAAM,MAC9G,GAAI,GAAU,EAAG,OACjB,IAAM,EAAQ,GAAQ,KAAK,CAAC,IAAU,EAAM,aAAe,EAAK,MAAM,YAAc,EAAM,KAAO,EAAK,MAAM,EAAE,EAC9G,MAAO,CACL,SACA,QAAS,GAAO,MAAM,QAAU,KAAK,MAAO,EAAS,EAAM,MAAM,QAAW,GAAG,EAAI,MACrF,EAGK,SAAS,CAAkB,CAAC,EAAgB,EAAkB,CACnE,IAAM,EAAQ,EAAO,OAAO,CAAM,EAClC,OAAO,IAAY,OAAY,EAAQ,GAAG,MAAU",
-  "debugId": "26C1BBDCE5FDDD5F64756E2164756E21",
-  "names": []
-}

bin/chunk-vmb1ydw4.js.map

-{
-  "version": 3,
-  "sources": ["../simulation/src/manifest.ts", "../simulation/src/protocol/index.ts", "../simulation/src/control-server.ts"],
-  "sourcesContent": [
-    "import { homedir } from \"node:os\"\nimport { isAbsolute, join } from \"node:path\"\nimport { Config, Effect, FileSystem, Schema } from \"effect\"\nimport { PositiveInt } from \"@opencode-ai/core/schema\"\n\nconst InstanceName = Schema.String.check(\n  Schema.makeFilter((value) =>\n    /^[a-zA-Z0-9][a-zA-Z0-9._-]{0,63}$/.test(value) ? undefined : \"a valid Drive instance name\",\n  ),\n)\n\nconst Endpoint = Schema.String.check(\n  Schema.makeFilter((value) => {\n    if (!URL.canParse(value)) return \"a loopback WebSocket endpoint with an explicit port\"\n    const endpoint = new URL(value)\n    const port = Number(endpoint.port)\n    return endpoint.protocol === \"ws:\" && endpoint.hostname === \"127.0.0.1\" && Number.isInteger(port) && port >= 1\n      ? undefined\n      : \"a loopback WebSocket endpoint with an explicit port\"\n  }),\n)\n\nconst AbsolutePath = Schema.String.check(\n  Schema.makeFilter((value) => (isAbsolute(value) ? undefined : \"an absolute path\")),\n)\n\nexport const Manifest = Schema.Struct({\n  endpoints: Schema.Struct({\n    ui: Endpoint,\n    backend: Endpoint,\n  }),\n  viewport: Schema.optionalKey(\n    Schema.Struct({\n      cols: PositiveInt,\n      rows: PositiveInt,\n    }),\n  ),\n  recording: Schema.optionalKey(\n    Schema.Struct({\n      timeline: AbsolutePath,\n    }),\n  ),\n})\nexport interface Manifest extends Schema.Schema.Type<typeof Manifest> {}\n\nexport class ResolveError extends Schema.TaggedErrorClass<ResolveError>()(\"DriveManifest.ResolveError\", {\n  reason: Schema.Literals([\"config\", \"not-found\", \"read\", \"decode\"]),\n  path: Schema.optionalKey(Schema.String),\n  message: Schema.String,\n  cause: Schema.Defect(),\n}) {}\n\nexport const defaults: Manifest = {\n  endpoints: {\n    ui: \"ws://127.0.0.1:40900\",\n    backend: \"ws://127.0.0.1:40950\",\n  },\n}\n\nconst decode = Schema.decodeUnknownEffect(Schema.fromJsonString(Manifest))\n\nconst configError = (cause: unknown) =>\n  new ResolveError({\n    reason: \"config\",\n    message: `Invalid Drive configuration: ${String(cause)}`,\n    cause,\n  })\n\nexport const resolve = Effect.fn(\"DriveManifest.resolve\")(function* () {\n  const name = yield* Config.schema(InstanceName, \"OPENCODE_DRIVE\").pipe(Effect.mapError(configError))\n  if (name === \"1\") return defaults\n\n  const state = yield* Config.string(\"XDG_STATE_HOME\").pipe(\n    Config.withDefault(join(homedir(), \".local\", \"state\")),\n    Effect.mapError(configError),\n  )\n  const directory = yield* Config.string(\"DRIVE_REGISTRY_DIR\").pipe(\n    Config.withDefault(join(state, \"opencode-drive\", \"instances\")),\n    Effect.mapError(configError),\n  )\n  const file = join(directory, `${name}.json`)\n  const fs = yield* FileSystem.FileSystem\n  const contents = yield* fs.readFileString(file).pipe(\n    Effect.mapError(\n      (cause) =>\n        new ResolveError({\n          reason: cause.reason._tag === \"NotFound\" ? \"not-found\" : \"read\",\n          path: file,\n          message:\n            cause.reason._tag === \"NotFound\"\n              ? `Drive manifest not found: ${file}`\n              : `Failed to read Drive manifest: ${file}: ${cause.message}`,\n          cause,\n        }),\n    ),\n  )\n  return yield* decode(contents).pipe(\n    Effect.mapError(\n      (cause) =>\n        new ResolveError({\n          reason: \"decode\",\n          path: file,\n          message: `Invalid Drive manifest: ${file}: ${cause.message}`,\n          cause,\n        }),\n    ),\n  )\n})\n\nexport * as DriveManifest from \"./manifest\"\n",
-    "import { Effect, Schema } from \"effect\"\n\nconst JsonRpcID = Schema.Union([Schema.String, Schema.Number, Schema.Null])\ntype Json = Schema.Schema.Type<typeof Schema.Json>\n\nexport namespace JsonRpc {\n  export const RequestFields = {\n    jsonrpc: Schema.Literal(\"2.0\"),\n    id: Schema.optional(JsonRpcID),\n  }\n  export const Request = Schema.Struct({\n    ...RequestFields,\n    method: Schema.String,\n    params: Schema.optional(Schema.Json),\n  })\n  export interface Request extends Schema.Schema.Type<typeof Request> {}\n\n  export const ErrorObject = Schema.Struct({\n    code: Schema.Number,\n    message: Schema.String,\n    data: Schema.optional(Schema.Json),\n  })\n\n  export const Response = Schema.Struct({\n    jsonrpc: Schema.Literal(\"2.0\"),\n    id: JsonRpcID,\n    result: Schema.optional(Schema.Json),\n    error: Schema.optional(ErrorObject),\n  })\n  export interface Response extends Schema.Schema.Type<typeof Response> {}\n\n  export const decodeRequest = Schema.decodeUnknownSync(Request)\n\n  export function success(id: Request[\"id\"], result: unknown): Response | undefined {\n    if (id === undefined) return undefined\n    return { jsonrpc: \"2.0\", id, result: result as Json }\n  }\n\n  export function failure(id: Request[\"id\"], error: unknown): Response {\n    return {\n      jsonrpc: \"2.0\",\n      id: id ?? null,\n      error: {\n        code: -32000,\n        message: error instanceof Error ? error.message : String(error),\n      },\n    }\n  }\n}\n\nexport namespace Handshake {\n  export const ProtocolVersion = Schema.Literal(1)\n  export type ProtocolVersion = Schema.Schema.Type<typeof ProtocolVersion>\n\n  export const Capability = Schema.NonEmptyString\n  export type Capability = Schema.Schema.Type<typeof Capability>\n\n  export const EndpointRole = Schema.Literals([\"ui\", \"backend\"])\n  export type EndpointRole = Schema.Schema.Type<typeof EndpointRole>\n\n  export const Identity = Schema.Struct({\n    name: Schema.NonEmptyString,\n    version: Schema.NonEmptyString,\n  })\n  export interface Identity extends Schema.Schema.Type<typeof Identity> {}\n\n  export const Params = Schema.Struct({\n    client: Identity,\n    expectedRole: EndpointRole,\n    offeredVersions: Schema.Array(Schema.Int.check(Schema.isGreaterThan(0))).check(\n      Schema.isMinLength(1),\n      Schema.isUnique(),\n    ),\n    requiredCapabilities: Schema.Array(Capability).check(Schema.isUnique()),\n    optionalCapabilities: Schema.Array(Capability).check(Schema.isUnique()),\n  })\n  export interface Params extends Schema.Schema.Type<typeof Params> {}\n\n  export const Response = Schema.Struct({\n    protocolVersion: ProtocolVersion,\n    role: EndpointRole,\n    server: Identity,\n    capabilities: Schema.Array(Capability),\n  })\n  export interface Response extends Schema.Schema.Type<typeof Response> {}\n\n  export const Request = Schema.Struct({\n    ...JsonRpc.RequestFields,\n    method: Schema.Literal(\"simulation.handshake\"),\n    params: Params,\n  })\n  export interface Request extends Schema.Schema.Type<typeof Request> {}\n\n  export interface DispatchAction {\n    readonly role: EndpointRole\n    readonly server: Identity\n    readonly capabilities: ReadonlyArray<Capability>\n  }\n\n  export class RoleMismatchError extends Schema.TaggedErrorClass<RoleMismatchError>()(\n    \"SimulationHandshake.RoleMismatchError\",\n    {\n      expected: EndpointRole,\n      actual: EndpointRole,\n      message: Schema.String,\n    },\n  ) {}\n\n  export class UnsupportedProtocolError extends Schema.TaggedErrorClass<UnsupportedProtocolError>()(\n    \"SimulationHandshake.UnsupportedProtocolError\",\n    {\n      offered: Schema.Array(Schema.Number),\n      supported: Schema.Array(ProtocolVersion),\n      message: Schema.String,\n    },\n  ) {}\n\n  export class MissingCapabilityError extends Schema.TaggedErrorClass<MissingCapabilityError>()(\n    \"SimulationHandshake.MissingCapabilityError\",\n    {\n      missing: Schema.Array(Capability),\n      message: Schema.String,\n    },\n  ) {}\n\n  export function dispatch(action: DispatchAction, params: Params) {\n    return Effect.gen(function* () {\n      if (params.expectedRole !== action.role) {\n        return yield* Effect.fail(\n          new RoleMismatchError({\n            expected: params.expectedRole,\n            actual: action.role,\n            message: `Expected simulation endpoint role ${params.expectedRole}, received ${action.role}`,\n          }),\n        )\n      }\n      if (!params.offeredVersions.includes(1)) {\n        return yield* Effect.fail(\n          new UnsupportedProtocolError({\n            offered: params.offeredVersions,\n            supported: [1],\n            message: \"No mutually supported simulation protocol version\",\n          }),\n        )\n      }\n      const installed = new Set(action.capabilities)\n      const missing = params.requiredCapabilities.filter((capability) => !installed.has(capability))\n      if (missing.length > 0) {\n        return yield* Effect.fail(\n          new MissingCapabilityError({\n            missing,\n            message: `Simulation endpoint is missing required capabilities: ${missing.join(\", \")}`,\n          }),\n        )\n      }\n      return {\n        protocolVersion: 1,\n        role: action.role,\n        server: action.server,\n        capabilities: Array.from(installed),\n      } satisfies Response\n    })\n  }\n}\n\nexport namespace Frontend {\n  export const Capabilities = [\n    \"ui.type\",\n    \"ui.press\",\n    \"ui.enter\",\n    \"ui.arrow\",\n    \"ui.focus\",\n    \"ui.click\",\n    \"ui.click.semantic\",\n    \"ui.resize\",\n    \"ui.matches\",\n    \"ui.screenshot\",\n    \"ui.state\",\n    \"ui.snapshot\",\n    \"ui.capture\",\n    \"ui.recording.finish\",\n  ] as const satisfies ReadonlyArray<Handshake.Capability>\n\n  export const KeyModifiers = Schema.Struct({\n    ctrl: Schema.optional(Schema.Boolean),\n    shift: Schema.optional(Schema.Boolean),\n    meta: Schema.optional(Schema.Boolean),\n    super: Schema.optional(Schema.Boolean),\n    hyper: Schema.optional(Schema.Boolean),\n  })\n  export interface KeyModifiers extends Schema.Schema.Type<typeof KeyModifiers> {}\n\n  export const SemanticClickTarget = Schema.Struct({\n    id: Schema.NonEmptyString,\n    instance: Schema.optionalKey(Schema.NonEmptyString),\n    element: Schema.Number.check(Schema.isInt(), Schema.isGreaterThan(0)),\n  })\n  export interface SemanticClickTarget extends Schema.Schema.Type<typeof SemanticClickTarget> {}\n\n  export const Action = Schema.Union([\n    Schema.Struct({ type: Schema.Literal(\"ui.type\"), text: Schema.String }),\n    Schema.Struct({ type: Schema.Literal(\"ui.press\"), key: Schema.String, modifiers: Schema.optional(KeyModifiers) }),\n    Schema.Struct({ type: Schema.Literal(\"ui.enter\") }),\n    Schema.Struct({ type: Schema.Literal(\"ui.arrow\"), direction: Schema.Literals([\"up\", \"down\", \"left\", \"right\"]) }),\n    Schema.Struct({ type: Schema.Literal(\"ui.focus\"), target: Schema.Number }),\n    Schema.Struct({\n      type: Schema.Literal(\"ui.click\"),\n      target: Schema.Number,\n      x: Schema.Number,\n      y: Schema.Number,\n      semantic: Schema.optionalKey(SemanticClickTarget),\n    }),\n    Schema.Struct({ type: Schema.Literal(\"ui.resize\"), cols: Schema.Number, rows: Schema.Number }),\n  ])\n  export type Action = Schema.Schema.Type<typeof Action>\n\n  export const Element = Schema.Struct({\n    id: Schema.String,\n    num: Schema.Number,\n    x: Schema.Number,\n    y: Schema.Number,\n    width: Schema.Number,\n    height: Schema.Number,\n    focusable: Schema.Boolean,\n    focused: Schema.Boolean,\n    clickable: Schema.Boolean,\n    editor: Schema.Boolean,\n  })\n  export interface Element extends Schema.Schema.Type<typeof Element> {}\n\n  export const State = Schema.Struct({\n    focused: Schema.Struct({\n      renderable: Schema.optional(Schema.Number),\n      editor: Schema.Boolean,\n    }),\n    elements: Schema.Array(Element),\n  })\n  export interface State extends Schema.Schema.Type<typeof State> {}\n\n  export const SemanticNode = Schema.Struct({\n    id: Schema.NonEmptyString,\n    instance: Schema.optionalKey(Schema.NonEmptyString),\n    parent: Schema.optionalKey(Schema.NonEmptyString),\n    role: Schema.NonEmptyString,\n    label: Schema.optionalKey(Schema.NonEmptyString),\n    element: Schema.Number.check(Schema.isInt(), Schema.isGreaterThan(0)),\n    focused: Schema.optionalKey(Schema.Boolean),\n    selected: Schema.optionalKey(Schema.Boolean),\n    expanded: Schema.optionalKey(Schema.Boolean),\n    disabled: Schema.optionalKey(Schema.Boolean),\n  })\n  export interface SemanticNode extends Schema.Schema.Type<typeof SemanticNode> {}\n\n  export const SemanticSnapshot = Schema.Struct({\n    format: Schema.Literal(\"opencode-ui-snapshot-v1\"),\n    nodes: Schema.Array(SemanticNode).check(\n      Schema.makeFilter((nodes) => {\n        const ids = new Set(nodes.map((node) => node.id))\n        if (ids.size !== nodes.length) return \"semantic node ids must be unique\"\n        if (new Set(nodes.map((node) => node.element)).size !== nodes.length)\n          return \"semantic node elements must be unique\"\n        if (nodes.some((node) => node.parent !== undefined && !ids.has(node.parent)))\n          return \"semantic node parents must reference another node\"\n        const parents = new Map(nodes.map((node) => [node.id, node.parent]))\n        for (const node of nodes) {\n          const visited = new Set<string>()\n          let current: string | undefined = node.id\n          while (current !== undefined) {\n            if (visited.has(current)) return \"semantic node hierarchy must be acyclic\"\n            visited.add(current)\n            current = parents.get(current)\n          }\n        }\n        return undefined\n      }),\n    ),\n  })\n  export interface SemanticSnapshot extends Schema.Schema.Type<typeof SemanticSnapshot> {}\n\n  export const Screenshot = Schema.String\n  export type Screenshot = Schema.Schema.Type<typeof Screenshot>\n\n  export const Color = Schema.Tuple([Schema.Number, Schema.Number, Schema.Number, Schema.Number])\n  export type Color = Schema.Schema.Type<typeof Color>\n\n  export const CapturedFrame = Schema.Struct({\n    cols: Schema.Number,\n    rows: Schema.Number,\n    cursor: Schema.Tuple([Schema.Number, Schema.Number]),\n    lines: Schema.Array(\n      Schema.Struct({\n        spans: Schema.Array(\n          Schema.Struct({\n            text: Schema.String,\n            fg: Color,\n            bg: Color,\n            attributes: Schema.Number,\n            width: Schema.Number,\n          }),\n        ),\n      }),\n    ),\n  })\n  export interface CapturedFrame extends Schema.Schema.Type<typeof CapturedFrame> {}\n\n  export const RecordingFinish = Schema.String\n  export type RecordingFinish = Schema.Schema.Type<typeof RecordingFinish>\n\n  export const Matches = Schema.Boolean\n  export type Matches = Schema.Schema.Type<typeof Matches>\n\n  export const ScreenshotParams = Schema.Struct({ name: Schema.optional(Schema.String) })\n  export interface ScreenshotParams extends Schema.Schema.Type<typeof ScreenshotParams> {}\n\n  export const TypeParams = Schema.Struct({ text: Schema.String })\n  export interface TypeParams extends Schema.Schema.Type<typeof TypeParams> {}\n\n  export const MatchesParams = Schema.Struct({ text: Schema.String })\n  export interface MatchesParams extends Schema.Schema.Type<typeof MatchesParams> {}\n\n  export const PressParams = Schema.Struct({ key: Schema.String, modifiers: Schema.optional(KeyModifiers) })\n  export interface PressParams extends Schema.Schema.Type<typeof PressParams> {}\n\n  export const ArrowParams = Schema.Struct({ direction: Schema.Literals([\"up\", \"down\", \"left\", \"right\"]) })\n  export interface ArrowParams extends Schema.Schema.Type<typeof ArrowParams> {}\n\n  export const FocusParams = Schema.Struct({ target: Schema.Number })\n  export interface FocusParams extends Schema.Schema.Type<typeof FocusParams> {}\n\n  export const ClickParams = Schema.Struct({\n    target: Schema.Number,\n    x: Schema.Number,\n    y: Schema.Number,\n    semantic: Schema.optionalKey(SemanticClickTarget),\n  })\n  export interface ClickParams extends Schema.Schema.Type<typeof ClickParams> {}\n\n  export const ResizeParams = Schema.Struct({ cols: Schema.Number, rows: Schema.Number })\n  export interface ResizeParams extends Schema.Schema.Type<typeof ResizeParams> {}\n\n  export const Request = Schema.Union([\n    Handshake.Request,\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.type\"), params: TypeParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.press\"), params: PressParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.arrow\"), params: ArrowParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.focus\"), params: FocusParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.click\"), params: ClickParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.resize\"), params: ResizeParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.matches\"), params: MatchesParams }),\n    Schema.Struct({\n      ...JsonRpc.RequestFields,\n      method: Schema.Literal(\"ui.screenshot\"),\n      params: Schema.optional(ScreenshotParams),\n    }),\n    Schema.Struct({\n      ...JsonRpc.RequestFields,\n      method: Schema.Literals([\"ui.enter\", \"ui.state\", \"ui.snapshot\", \"ui.recording.finish\"]),\n    }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"ui.capture\") }),\n  ])\n  export type Request = Schema.Schema.Type<typeof Request>\n  export const decodeRequest = Schema.decodeUnknownSync(Request)\n  export const decodeRequestEffect = Schema.decodeUnknownEffect(Schema.fromJsonString(Request))\n}\n\nexport namespace Backend {\n  export const Capabilities = [\n    \"llm.attach\",\n    \"llm.chunk\",\n    \"llm.finish\",\n    \"llm.disconnect\",\n    \"llm.pending\",\n    \"llm.request\",\n    \"llm.tool-input-delta\",\n    \"tool.attach\",\n    \"tool.update\",\n    \"tool.finish\",\n    \"tool.fail\",\n    \"tool.invocation\",\n    \"tool.cancel\",\n  ] as const satisfies ReadonlyArray<Handshake.Capability>\n\n  export const Item = Schema.Union([\n    Schema.Struct({ type: Schema.Literal(\"textDelta\"), text: Schema.String }),\n    Schema.Struct({ type: Schema.Literal(\"reasoningDelta\"), text: Schema.String }),\n    Schema.Struct({\n      type: Schema.Literal(\"toolInputStart\"),\n      index: Schema.Number,\n      id: Schema.String,\n      name: Schema.String,\n    }),\n    Schema.Struct({\n      type: Schema.Literal(\"toolInputDelta\"),\n      index: Schema.Number,\n      text: Schema.String,\n    }),\n    Schema.Struct({\n      type: Schema.Literal(\"toolCall\"),\n      index: Schema.Number,\n      id: Schema.String,\n      name: Schema.String,\n      input: Schema.Json,\n    }),\n    Schema.Struct({ type: Schema.Literal(\"raw\"), chunk: Schema.Json }),\n  ])\n  export type Item = Schema.Schema.Type<typeof Item>\n\n  export const FinishReason = Schema.Literals([\"stop\", \"tool-calls\", \"length\", \"content-filter\"])\n  export type FinishReason = Schema.Schema.Type<typeof FinishReason>\n\n  export const ToolContent = Schema.Union([\n    Schema.Struct({ type: Schema.Literal(\"text\"), text: Schema.String }),\n    Schema.Struct({\n      type: Schema.Literal(\"file\"),\n      data: Schema.String,\n      mime: Schema.NonEmptyString,\n      name: Schema.optionalKey(Schema.String),\n    }),\n  ])\n  export type ToolContent = Schema.Schema.Type<typeof ToolContent>\n\n  const ToolName = Schema.NonEmptyString.check(\n    Schema.makeFilter((name) =>\n      /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(name) ? undefined : \"simulated tool names must be provider-safe\",\n    ),\n  )\n  const ToolNamespace = Schema.NonEmptyString.check(\n    Schema.makeFilter((namespace) =>\n      namespace.split(\".\").every((segment) => /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(segment))\n        ? undefined\n        : \"simulated tool namespaces must contain provider-safe segments\",\n    ),\n  )\n\n  export const ToolRegistration = Schema.Struct({\n    name: ToolName,\n    description: Schema.String,\n    inputSchema: Schema.Record(Schema.String, Schema.Json),\n    outputSchema: Schema.optionalKey(Schema.Record(Schema.String, Schema.Json)),\n    permission: Schema.optionalKey(Schema.NonEmptyString),\n    options: Schema.optionalKey(\n      Schema.Struct({\n        namespace: Schema.optionalKey(ToolNamespace),\n        codemode: Schema.optionalKey(Schema.Boolean),\n      }),\n    ),\n  })\n  export interface ToolRegistration extends Schema.Schema.Type<typeof ToolRegistration> {}\n\n  export const ToolAttachParams = Schema.Struct({\n    tools: Schema.Array(ToolRegistration).check(\n      Schema.makeFilter((tools) => {\n        const names = tools.map(exposedToolName)\n        if (names.some((name) => !/^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(name)))\n          return \"simulated tool names including namespaces must be provider-safe\"\n        if (new Set(names).size !== names.length) return \"simulated tool registrations must have unique exposed names\"\n        if (\n          tools.some(\n            (tool) =>\n              tool.name === \"execute\" && tool.options?.namespace === undefined && tool.options?.codemode === false,\n          )\n        )\n          return 'direct simulated tool name \"execute\" is reserved'\n        return undefined\n      }),\n    ),\n  })\n  export interface ToolAttachParams extends Schema.Schema.Type<typeof ToolAttachParams> {}\n\n  export function exposedToolName(registration: ToolRegistration) {\n    return registration.options?.namespace === undefined\n      ? registration.name\n      : `${registration.options.namespace.replaceAll(\".\", \"_\")}_${registration.name}`\n  }\n\n  export const ToolProgress = Schema.Record(Schema.String, Schema.Json)\n  export interface ToolProgress extends Schema.Schema.Type<typeof ToolProgress> {}\n\n  export const ToolOutput = Schema.Struct({\n    structured: Schema.Json,\n    content: Schema.Array(ToolContent),\n  })\n  export interface ToolOutput extends Schema.Schema.Type<typeof ToolOutput> {}\n\n  export const ToolUpdateParams = Schema.Struct({\n    id: Schema.String,\n    sequence: Schema.Int.check(Schema.isGreaterThanOrEqualTo(0)),\n    update: ToolProgress,\n  })\n  export interface ToolUpdateParams extends Schema.Schema.Type<typeof ToolUpdateParams> {}\n\n  export const ToolFinishParams = Schema.Struct({ id: Schema.String, output: ToolOutput })\n  export interface ToolFinishParams extends Schema.Schema.Type<typeof ToolFinishParams> {}\n\n  export const ToolFailParams = Schema.Struct({ id: Schema.String, message: Schema.String })\n  export interface ToolFailParams extends Schema.Schema.Type<typeof ToolFailParams> {}\n\n  export const ToolInvocation = Schema.Struct({\n    id: Schema.String,\n    name: Schema.String,\n    input: Schema.Json,\n    context: Schema.Struct({\n      sessionID: Schema.String,\n      agent: Schema.String,\n      messageID: Schema.String,\n      callID: Schema.String,\n    }),\n  })\n  export interface ToolInvocation extends Schema.Schema.Type<typeof ToolInvocation> {}\n\n  export const ToolCancellation = Schema.Struct({\n    id: Schema.String,\n    reason: Schema.Literal(\"interrupted\"),\n  })\n  export interface ToolCancellation extends Schema.Schema.Type<typeof ToolCancellation> {}\n\n  export const ChunkParams = Schema.Struct({ id: Schema.String, items: Schema.Array(Item) })\n  export interface ChunkParams extends Schema.Schema.Type<typeof ChunkParams> {}\n\n  export const FinishParams = Schema.Struct({\n    id: Schema.String,\n    reason: FinishReason.pipe(Schema.withDecodingDefault(Effect.succeed(\"stop\" as const))),\n  })\n  export interface FinishParams extends Schema.Schema.Type<typeof FinishParams> {}\n\n  export const DisconnectParams = Schema.Struct({ id: Schema.String })\n  export interface DisconnectParams extends Schema.Schema.Type<typeof DisconnectParams> {}\n\n  export const Request = Schema.Union([\n    Handshake.Request,\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"llm.chunk\"), params: ChunkParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"llm.finish\"), params: FinishParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"llm.disconnect\"), params: DisconnectParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.attach\"), params: ToolAttachParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.update\"), params: ToolUpdateParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.finish\"), params: ToolFinishParams }),\n    Schema.Struct({ ...JsonRpc.RequestFields, method: Schema.Literal(\"tool.fail\"), params: ToolFailParams }),\n    Schema.Struct({\n      ...JsonRpc.RequestFields,\n      method: Schema.Literals([\"llm.attach\", \"llm.pending\"]),\n    }),\n  ])\n  export type Request = Schema.Schema.Type<typeof Request>\n  export const decodeRequest = Schema.decodeUnknownSync(Request)\n  export const decodeRequestEffect = Schema.decodeUnknownEffect(Schema.fromJsonString(Request))\n\n  export const ProviderInvocation = Schema.Struct({ id: Schema.String, url: Schema.String, body: Schema.Json })\n  export interface ProviderInvocation extends Schema.Schema.Type<typeof ProviderInvocation> {}\n\n  export const NetworkLogEntry = Schema.Struct({\n    time: Schema.Number,\n    method: Schema.String,\n    url: Schema.String,\n    matched: Schema.Boolean,\n  })\n  export interface NetworkLogEntry extends Schema.Schema.Type<typeof NetworkLogEntry> {}\n}\n\nexport * as SimulationProtocol from \"./index\"\n",
-    "import { Effect, Fiber, Queue, Stream } from \"effect\"\nimport { SimulationProtocol } from \"./protocol\"\n\nexport interface Server {\n  readonly url: string\n}\n\ninterface Request {\n  readonly id?: string | number | null\n}\n\nexport interface SocketData {\n  readonly drive?: true\n  attachment?: Fiber.Fiber<void>\n  closed?: true\n}\n\nexport type Socket = Bun.ServerWebSocket<SocketData>\n\nexport function start<RequestType extends Request, Error, Services>(options: {\n  readonly endpoint: string\n  readonly label: string\n  readonly data: () => SocketData\n  readonly decode: (input: string) => Effect.Effect<RequestType, Error>\n  readonly handle: (socket: Socket, request: RequestType) => Effect.Effect<unknown, unknown, Services>\n  readonly close?: (socket: Socket) => Effect.Effect<void, never, Services>\n}) {\n  return Effect.gen(function* () {\n    const messages = yield* Queue.bounded<{ readonly socket: Socket; readonly input: string }>(256)\n    const closures = yield* Queue.unbounded<Socket>()\n    yield* Stream.fromQueue(messages).pipe(\n      Stream.runForEach((message) =>\n        options.decode(message.input).pipe(\n          Effect.flatMap((request) =>\n            options.handle(message.socket, request).pipe(\n              Effect.matchEffect({\n                onFailure: (error) => send(message.socket, SimulationProtocol.JsonRpc.failure(request.id, error)),\n                onSuccess: (result) => send(message.socket, SimulationProtocol.JsonRpc.success(request.id, result)),\n              }),\n            ),\n          ),\n          Effect.catch((error) => send(message.socket, SimulationProtocol.JsonRpc.failure(undefined, error))),\n        ),\n      ),\n      Effect.forkScoped,\n    )\n    yield* Stream.fromQueue(closures).pipe(\n      Stream.runForEach((socket) => options.close?.(socket) ?? Effect.void),\n      Effect.forkScoped,\n    )\n    const url = yield* Effect.try({ try: () => new URL(options.endpoint), catch: (cause) => cause })\n    yield* Effect.acquireRelease(\n      Effect.sync(() =>\n        Bun.serve<SocketData>({\n          hostname: url.hostname,\n          port: Number(url.port),\n          fetch(request, server) {\n            if (server.upgrade(request, { data: options.data() })) return undefined\n            return new Response(options.label, { status: 426 })\n          },\n          websocket: {\n            close(socket) {\n              socket.data.closed = true\n              Queue.offerUnsafe(closures, socket)\n            },\n            message(socket, message) {\n              const input = typeof message === \"string\" ? message : message.toString()\n              if (Queue.offerUnsafe(messages, { socket, input })) return\n              socket.send(\n                JSON.stringify(\n                  SimulationProtocol.JsonRpc.failure(undefined, new Error(\"Simulation control queue is full\")),\n                ),\n              )\n            },\n          },\n        }),\n      ),\n      (server) => Effect.promise(() => server.stop(true)),\n    )\n    return { url: options.endpoint } satisfies Server\n  })\n}\n\nfunction send(socket: Socket, response: SimulationProtocol.JsonRpc.Response | undefined) {\n  if (!response) return Effect.void\n  return Effect.sync(() => {\n    socket.send(JSON.stringify(response))\n  })\n}\n\nexport * as SimulationControlServer from \"./control-server\"\n"
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-  "names": []
-}

bin/chunk-vv5n7vfc.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/@ai-sdk+togetherai@2.0.41+d6123d32214422cb/node_modules/@ai-sdk/togetherai/dist/index.mjs"],
-  "sourcesContent": [
-    "// src/togetherai-provider.ts\nimport {\n  OpenAICompatibleChatLanguageModel,\n  OpenAICompatibleCompletionLanguageModel,\n  OpenAICompatibleEmbeddingModel\n} from \"@ai-sdk/openai-compatible\";\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/reranking/togetherai-reranking-model.ts\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\n\n// src/reranking/togetherai-reranking-api.ts\nimport { lazySchema, zodSchema } from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\nvar togetheraiErrorSchema = lazySchema(\n  () => zodSchema(\n    z.object({\n      error: z.object({\n        message: z.string()\n      })\n    })\n  )\n);\nvar togetheraiRerankingResponseSchema = lazySchema(\n  () => zodSchema(\n    z.object({\n      id: z.string().nullish(),\n      model: z.string().nullish(),\n      results: z.array(\n        z.object({\n          index: z.number(),\n          relevance_score: z.number()\n        })\n      ),\n      usage: z.object({\n        prompt_tokens: z.number(),\n        completion_tokens: z.number(),\n        total_tokens: z.number()\n      })\n    })\n  )\n);\n\n// src/reranking/togetherai-reranking-options.ts\nimport { lazySchema as lazySchema2, zodSchema as zodSchema2 } from \"@ai-sdk/provider-utils\";\nimport { z as z2 } from \"zod/v4\";\nvar togetheraiRerankingModelOptionsSchema = lazySchema2(\n  () => zodSchema2(\n    z2.object({\n      rankFields: z2.array(z2.string()).optional()\n    })\n  )\n);\n\n// src/reranking/togetherai-reranking-model.ts\nvar TogetherAIRerankingModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.modelId = modelId;\n    this.config = config;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  // see https://docs.together.ai/reference/rerank-1\n  async doRerank({\n    documents,\n    headers,\n    query,\n    topN,\n    abortSignal,\n    providerOptions\n  }) {\n    var _a, _b;\n    const rerankingOptions = await parseProviderOptions({\n      provider: \"togetherai\",\n      providerOptions,\n      schema: togetheraiRerankingModelOptionsSchema\n    });\n    const {\n      responseHeaders,\n      value: response,\n      rawValue\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/rerank`,\n      headers: combineHeaders(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        documents: documents.values,\n        query,\n        top_n: topN,\n        rank_fields: rerankingOptions == null ? void 0 : rerankingOptions.rankFields,\n        return_documents: false\n        // reduce response size\n      },\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: togetheraiErrorSchema,\n        errorToMessage: (data) => data.error.message\n      }),\n      successfulResponseHandler: createJsonResponseHandler(\n        togetheraiRerankingResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      ranking: response.results.map((result) => ({\n        index: result.index,\n        relevanceScore: result.relevance_score\n      })),\n      response: {\n        id: (_a = response.id) != null ? _a : void 0,\n        modelId: (_b = response.model) != null ? _b : void 0,\n        headers: responseHeaders,\n        body: rawValue\n      }\n    };\n  }\n};\n\n// src/togetherai-image-model.ts\nimport {\n  combineHeaders as combineHeaders2,\n  convertImageModelFileToDataUri,\n  createJsonResponseHandler as createJsonResponseHandler2,\n  createJsonErrorResponseHandler as createJsonErrorResponseHandler2,\n  lazySchema as lazySchema3,\n  parseProviderOptions as parseProviderOptions2,\n  postJsonToApi as postJsonToApi2,\n  zodSchema as zodSchema3\n} from \"@ai-sdk/provider-utils\";\nimport { z as z3 } from \"zod/v4\";\nvar TogetherAIImageModel = class {\n  constructor(modelId, config) {\n    this.modelId = modelId;\n    this.config = config;\n    this.specificationVersion = \"v3\";\n    this.maxImagesPerCall = 1;\n  }\n  get provider() {\n    return this.config.provider;\n  }\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    seed,\n    providerOptions,\n    headers,\n    abortSignal,\n    files,\n    mask\n  }) {\n    var _a, _b, _c;\n    const warnings = [];\n    if (mask != null) {\n      throw new Error(\n        \"Together AI does not support mask-based image editing. Use FLUX Kontext models (e.g., black-forest-labs/FLUX.1-kontext-pro) with a reference image and descriptive prompt instead.\"\n      );\n    }\n    if (size != null) {\n      warnings.push({\n        type: \"unsupported\",\n        feature: \"aspectRatio\",\n        details: \"This model does not support the `aspectRatio` option. Use `size` instead.\"\n      });\n    }\n    const currentDate = (_c = (_b = (_a = this.config._internal) == null ? void 0 : _a.currentDate) == null ? void 0 : _b.call(_a)) != null ? _c : /* @__PURE__ */ new Date();\n    const togetheraiOptions = await parseProviderOptions2({\n      provider: \"togetherai\",\n      providerOptions,\n      schema: togetheraiImageModelOptionsSchema\n    });\n    let imageUrl;\n    if (files != null && files.length > 0) {\n      imageUrl = convertImageModelFileToDataUri(files[0]);\n      if (files.length > 1) {\n        warnings.push({\n          type: \"other\",\n          message: \"Together AI only supports a single input image. Additional images are ignored.\"\n        });\n      }\n    }\n    const splitSize = size == null ? void 0 : size.split(\"x\");\n    const { value: response, responseHeaders } = await postJsonToApi2({\n      url: `${this.config.baseURL}/images/generations`,\n      headers: combineHeaders2(this.config.headers(), headers),\n      body: {\n        model: this.modelId,\n        prompt,\n        seed,\n        ...n > 1 ? { n } : {},\n        ...splitSize && {\n          width: parseInt(splitSize[0]),\n          height: parseInt(splitSize[1])\n        },\n        ...imageUrl != null ? { image_url: imageUrl } : {},\n        response_format: \"base64\",\n        ...togetheraiOptions != null ? togetheraiOptions : {}\n      },\n      failedResponseHandler: createJsonErrorResponseHandler2({\n        errorSchema: togetheraiErrorSchema2,\n        errorToMessage: (data) => data.error.message\n      }),\n      successfulResponseHandler: createJsonResponseHandler2(\n        togetheraiImageResponseSchema\n      ),\n      abortSignal,\n      fetch: this.config.fetch\n    });\n    return {\n      images: response.data.map((item) => item.b64_json),\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders\n      }\n    };\n  }\n};\nvar togetheraiImageResponseSchema = z3.object({\n  data: z3.array(\n    z3.object({\n      b64_json: z3.string()\n    })\n  )\n});\nvar togetheraiErrorSchema2 = z3.object({\n  error: z3.object({\n    message: z3.string()\n  })\n});\nvar togetheraiImageModelOptionsSchema = lazySchema3(\n  () => zodSchema3(\n    z3.object({\n      /**\n       * Number of generation steps. Higher values can improve quality.\n       */\n      steps: z3.number().nullish(),\n      /**\n       * Guidance scale for image generation.\n       */\n      guidance: z3.number().nullish(),\n      /**\n       * Negative prompt to guide what to avoid.\n       */\n      negative_prompt: z3.string().nullish(),\n      /**\n       * Disable the safety checker for image generation.\n       * When true, the API will not reject images flagged as potentially NSFW.\n       * Not available for Flux Schnell Free and Flux Pro models.\n       */\n      disable_safety_checker: z3.boolean().nullish()\n    }).passthrough()\n  )\n);\n\n// src/version.ts\nvar VERSION = true ? \"2.0.41\" : \"0.0.0-test\";\n\n// src/togetherai-provider.ts\nfunction loadDeprecatedApiKey() {\n  if (typeof process === \"undefined\") {\n    return void 0;\n  }\n  if (typeof process.env.TOGETHER_API_KEY === \"string\") {\n    return void 0;\n  }\n  const key = process.env.TOGETHER_AI_API_KEY;\n  if (typeof key === \"string\") {\n    console.warn(\n      \"TOGETHER_AI_API_KEY is deprecated and will be removed in a future release. Please use TOGETHER_API_KEY instead.\"\n    );\n  }\n  return key;\n}\nfunction createTogetherAI(options = {}) {\n  var _a;\n  const baseURL = withoutTrailingSlash(\n    (_a = options.baseURL) != null ? _a : \"https://api.together.xyz/v1/\"\n  );\n  const getHeaders = () => {\n    var _a2;\n    return withUserAgentSuffix(\n      {\n        Authorization: `Bearer ${loadApiKey({\n          apiKey: (_a2 = options.apiKey) != null ? _a2 : loadDeprecatedApiKey(),\n          environmentVariableName: \"TOGETHER_API_KEY\",\n          description: \"TogetherAI\"\n        })}`,\n        ...options.headers\n      },\n      `ai-sdk/togetherai/${VERSION}`\n    );\n  };\n  const getCommonModelConfig = (modelType) => ({\n    provider: `togetherai.${modelType}`,\n    url: ({ path }) => `${baseURL}${path}`,\n    headers: getHeaders,\n    fetch: options.fetch\n  });\n  const createChatModel = (modelId) => {\n    return new OpenAICompatibleChatLanguageModel(\n      modelId,\n      getCommonModelConfig(\"chat\")\n    );\n  };\n  const createCompletionModel = (modelId) => new OpenAICompatibleCompletionLanguageModel(\n    modelId,\n    getCommonModelConfig(\"completion\")\n  );\n  const createEmbeddingModel = (modelId) => new OpenAICompatibleEmbeddingModel(\n    modelId,\n    getCommonModelConfig(\"embedding\")\n  );\n  const createImageModel = (modelId) => new TogetherAIImageModel(modelId, {\n    ...getCommonModelConfig(\"image\"),\n    baseURL: baseURL != null ? baseURL : \"https://api.together.xyz/v1/\"\n  });\n  const createRerankingModel = (modelId) => new TogetherAIRerankingModel(modelId, {\n    ...getCommonModelConfig(\"reranking\"),\n    baseURL: baseURL != null ? baseURL : \"https://api.together.xyz/v1/\"\n  });\n  const provider = (modelId) => createChatModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.completionModel = createCompletionModel;\n  provider.languageModel = createChatModel;\n  provider.chatModel = createChatModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.reranking = createRerankingModel;\n  provider.rerankingModel = createRerankingModel;\n  return provider;\n}\nvar togetherai = createTogetherAI();\nexport {\n  VERSION,\n  createTogetherAI,\n  togetherai\n};\n//# sourceMappingURL=index.mjs.map"
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-  "sources": ["../../node_modules/.bun/@ai-sdk+perplexity@3.0.26+d6123d32214422cb/node_modules/@ai-sdk/perplexity/dist/index.mjs"],
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-    "// src/perplexity-provider.ts\nimport {\n  NoSuchModelError\n} from \"@ai-sdk/provider\";\nimport {\n  generateId,\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix\n} from \"@ai-sdk/provider-utils\";\n\n// src/perplexity-language-model.ts\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  postJsonToApi\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod/v4\";\n\n// src/convert-perplexity-usage.ts\nfunction convertPerplexityUsage(usage) {\n  var _a, _b, _c;\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: void 0,\n        noCache: void 0,\n        cacheRead: void 0,\n        cacheWrite: void 0\n      },\n      outputTokens: {\n        total: void 0,\n        text: void 0,\n        reasoning: void 0\n      },\n      raw: void 0\n    };\n  }\n  const promptTokens = (_a = usage.prompt_tokens) != null ? _a : 0;\n  const completionTokens = (_b = usage.completion_tokens) != null ? _b : 0;\n  const reasoningTokens = (_c = usage.reasoning_tokens) != null ? _c : 0;\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens,\n      cacheRead: void 0,\n      cacheWrite: void 0\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: completionTokens - reasoningTokens,\n      reasoning: reasoningTokens\n    },\n    raw: usage\n  };\n}\n\n// src/convert-to-perplexity-messages.ts\nimport {\n  UnsupportedFunctionalityError\n} from \"@ai-sdk/provider\";\nimport { convertUint8ArrayToBase64 } from \"@ai-sdk/provider-utils\";\nfunction convertToPerplexityMessages(prompt) {\n  const messages = [];\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case \"system\": {\n        messages.push({ role: \"system\", content });\n        break;\n      }\n      case \"user\":\n      case \"assistant\": {\n        const hasMultipartContent = content.some(\n          (part) => part.type === \"file\" && part.mediaType.startsWith(\"image/\") || part.type === \"file\" && part.mediaType === \"application/pdf\"\n        );\n        const messageContent = content.map((part, index) => {\n          var _a;\n          switch (part.type) {\n            case \"text\": {\n              return {\n                type: \"text\",\n                text: part.text\n              };\n            }\n            case \"file\": {\n              if (part.mediaType === \"application/pdf\") {\n                return part.data instanceof URL ? {\n                  type: \"file_url\",\n                  file_url: {\n                    url: part.data.toString()\n                  },\n                  file_name: part.filename\n                } : {\n                  type: \"file_url\",\n                  file_url: {\n                    url: typeof part.data === \"string\" ? part.data : convertUint8ArrayToBase64(part.data)\n                  },\n                  file_name: part.filename || `document-${index}.pdf`\n                };\n              } else if (part.mediaType.startsWith(\"image/\")) {\n                return part.data instanceof URL ? {\n                  type: \"image_url\",\n                  image_url: {\n                    url: part.data.toString()\n                  }\n                } : {\n                  type: \"image_url\",\n                  image_url: {\n                    url: `data:${(_a = part.mediaType) != null ? _a : \"image/jpeg\"};base64,${typeof part.data === \"string\" ? part.data : convertUint8ArrayToBase64(part.data)}`\n                  }\n                };\n              }\n            }\n          }\n        }).filter(Boolean);\n        messages.push({\n          role,\n          content: hasMultipartContent ? messageContent : messageContent.filter((part) => part.type === \"text\").map((part) => part.text).join(\"\")\n        });\n        break;\n      }\n      case \"tool\": {\n        throw new UnsupportedFunctionalityError({\n          functionality: \"Tool messages\"\n        });\n      }\n      default: {\n        const _exhaustiveCheck = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n  return messages;\n}\n\n// src/map-perplexity-finish-reason.ts\nfunction mapPerplexityFinishReason(finishReason) {\n  switch (finishReason) {\n    case \"stop\":\n    case \"length\":\n      return finishReason;\n    default:\n      return \"other\";\n  }\n}\n\n// src/perplexity-language-model.ts\nvar PerplexityLanguageModel = class {\n  constructor(modelId, config) {\n    this.specificationVersion = \"v3\";\n    this.provider = \"perplexity\";\n    this.supportedUrls = {\n      // No URLs are supported.\n    };\n    this.modelId = modelId;\n    this.config = config;\n  }\n  getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    providerOptions\n  }) {\n    var _a;\n    const warnings = [];\n    if (topK != null) {\n      warnings.push({ type: \"unsupported\", feature: \"topK\" });\n    }\n    if (stopSequences != null) {\n      warnings.push({ type: \"unsupported\", feature: \"stopSequences\" });\n    }\n    if (seed != null) {\n      warnings.push({ type: \"unsupported\", feature: \"seed\" });\n    }\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n        // standardized settings:\n        frequency_penalty: frequencyPenalty,\n        max_tokens: maxOutputTokens,\n        presence_penalty: presencePenalty,\n        temperature,\n        top_k: topK,\n        top_p: topP,\n        // response format:\n        response_format: (responseFormat == null ? void 0 : responseFormat.type) === \"json\" ? {\n          type: \"json_schema\",\n          json_schema: { schema: responseFormat.schema }\n        } : void 0,\n        // provider extensions\n        ...(_a = providerOptions == null ? void 0 : providerOptions.perplexity) != null ? _a : {},\n        // messages:\n        messages: convertToPerplexityMessages(prompt)\n      },\n      warnings\n    };\n  }\n  async doGenerate(options) {\n    var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l;\n    const { args: body, warnings } = this.getArgs(options);\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: perplexityErrorSchema,\n        errorToMessage\n      }),\n      successfulResponseHandler: createJsonResponseHandler(\n        perplexityResponseSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    const choice = response.choices[0];\n    const content = [];\n    const text = choice.message.content;\n    if (text.length > 0) {\n      content.push({ type: \"text\", text });\n    }\n    if (response.citations != null) {\n      for (const url of response.citations) {\n        content.push({\n          type: \"source\",\n          sourceType: \"url\",\n          id: this.config.generateId(),\n          url\n        });\n      }\n    }\n    return {\n      content,\n      finishReason: {\n        unified: mapPerplexityFinishReason(choice.finish_reason),\n        raw: (_a = choice.finish_reason) != null ? _a : void 0\n      },\n      usage: convertPerplexityUsage(response.usage),\n      request: { body },\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse\n      },\n      warnings,\n      providerMetadata: {\n        perplexity: {\n          images: (_c = (_b = response.images) == null ? void 0 : _b.map((image) => ({\n            imageUrl: image.image_url,\n            originUrl: image.origin_url,\n            height: image.height,\n            width: image.width\n          }))) != null ? _c : null,\n          usage: {\n            citationTokens: (_e = (_d = response.usage) == null ? void 0 : _d.citation_tokens) != null ? _e : null,\n            numSearchQueries: (_g = (_f = response.usage) == null ? void 0 : _f.num_search_queries) != null ? _g : null\n          },\n          cost: ((_h = response.usage) == null ? void 0 : _h.cost) ? {\n            inputTokensCost: (_i = response.usage.cost.input_tokens_cost) != null ? _i : null,\n            outputTokensCost: (_j = response.usage.cost.output_tokens_cost) != null ? _j : null,\n            requestCost: (_k = response.usage.cost.request_cost) != null ? _k : null,\n            totalCost: (_l = response.usage.cost.total_cost) != null ? _l : null\n          } : null\n        }\n      }\n    };\n  }\n  async doStream(options) {\n    const { args, warnings } = this.getArgs(options);\n    const body = { ...args, stream: true };\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: createJsonErrorResponseHandler({\n        errorSchema: perplexityErrorSchema,\n        errorToMessage\n      }),\n      successfulResponseHandler: createEventSourceResponseHandler(\n        perplexityChunkSchema\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch\n    });\n    let finishReason = {\n      unified: \"other\",\n      raw: void 0\n    };\n    let usage = void 0;\n    const providerMetadata = {\n      perplexity: {\n        usage: {\n          citationTokens: null,\n          numSearchQueries: null\n        },\n        cost: null,\n        images: null\n      }\n    };\n    let isFirstChunk = true;\n    let isActive = false;\n    const self = this;\n    return {\n      stream: response.pipeThrough(\n        new TransformStream({\n          start(controller) {\n            controller.enqueue({ type: \"stream-start\", warnings });\n          },\n          transform(chunk, controller) {\n            var _a, _b, _c, _d, _e, _f, _g;\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n            if (!chunk.success) {\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n            const value = chunk.value;\n            if (isFirstChunk) {\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value)\n              });\n              (_a = value.citations) == null ? void 0 : _a.forEach((url) => {\n                controller.enqueue({\n                  type: \"source\",\n                  sourceType: \"url\",\n                  id: self.config.generateId(),\n                  url\n                });\n              });\n              isFirstChunk = false;\n            }\n            if (value.usage != null) {\n              usage = value.usage;\n              providerMetadata.perplexity.usage = {\n                citationTokens: (_b = value.usage.citation_tokens) != null ? _b : null,\n                numSearchQueries: (_c = value.usage.num_search_queries) != null ? _c : null\n              };\n              providerMetadata.perplexity.cost = value.usage.cost ? {\n                inputTokensCost: (_d = value.usage.cost.input_tokens_cost) != null ? _d : null,\n                outputTokensCost: (_e = value.usage.cost.output_tokens_cost) != null ? _e : null,\n                requestCost: (_f = value.usage.cost.request_cost) != null ? _f : null,\n                totalCost: (_g = value.usage.cost.total_cost) != null ? _g : null\n              } : null;\n            }\n            if (value.images != null) {\n              providerMetadata.perplexity.images = value.images.map((image) => ({\n                imageUrl: image.image_url,\n                originUrl: image.origin_url,\n                height: image.height,\n                width: image.width\n              }));\n            }\n            const choice = value.choices[0];\n            if ((choice == null ? void 0 : choice.finish_reason) != null) {\n              finishReason = {\n                unified: mapPerplexityFinishReason(choice.finish_reason),\n                raw: choice.finish_reason\n              };\n            }\n            if ((choice == null ? void 0 : choice.delta) == null) {\n              return;\n            }\n            const delta = choice.delta;\n            const textContent = delta.content;\n            if (textContent != null) {\n              if (!isActive) {\n                controller.enqueue({ type: \"text-start\", id: \"0\" });\n                isActive = true;\n              }\n              controller.enqueue({\n                type: \"text-delta\",\n                id: \"0\",\n                delta: textContent\n              });\n            }\n          },\n          flush(controller) {\n            if (isActive) {\n              controller.enqueue({ type: \"text-end\", id: \"0\" });\n            }\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage: convertPerplexityUsage(usage),\n              providerMetadata\n            });\n          }\n        })\n      ),\n      request: { body },\n      response: { headers: responseHeaders }\n    };\n  }\n};\nfunction getResponseMetadata({\n  id,\n  model,\n  created\n}) {\n  return {\n    id,\n    modelId: model,\n    timestamp: new Date(created * 1e3)\n  };\n}\nvar perplexityCostSchema = z.object({\n  input_tokens_cost: z.number().nullish(),\n  output_tokens_cost: z.number().nullish(),\n  request_cost: z.number().nullish(),\n  total_cost: z.number().nullish()\n});\nvar perplexityUsageSchema = z.object({\n  prompt_tokens: z.number(),\n  completion_tokens: z.number(),\n  total_tokens: z.number().nullish(),\n  citation_tokens: z.number().nullish(),\n  num_search_queries: z.number().nullish(),\n  reasoning_tokens: z.number().nullish(),\n  cost: perplexityCostSchema.nullish()\n});\nvar perplexityImageSchema = z.object({\n  image_url: z.string(),\n  origin_url: z.string(),\n  height: z.number(),\n  width: z.number()\n});\nvar perplexityResponseSchema = z.object({\n  id: z.string(),\n  created: z.number(),\n  model: z.string(),\n  choices: z.array(\n    z.object({\n      message: z.object({\n        role: z.literal(\"assistant\"),\n        content: z.string()\n      }),\n      finish_reason: z.string().nullish()\n    })\n  ),\n  citations: z.array(z.string()).nullish(),\n  images: z.array(perplexityImageSchema).nullish(),\n  usage: perplexityUsageSchema.nullish()\n});\nvar perplexityChunkSchema = z.object({\n  id: z.string(),\n  created: z.number(),\n  model: z.string(),\n  choices: z.array(\n    z.object({\n      delta: z.object({\n        role: z.literal(\"assistant\"),\n        content: z.string()\n      }),\n      finish_reason: z.string().nullish()\n    })\n  ),\n  citations: z.array(z.string()).nullish(),\n  images: z.array(perplexityImageSchema).nullish(),\n  usage: perplexityUsageSchema.nullish()\n});\nvar perplexityErrorSchema = z.object({\n  error: z.object({\n    code: z.number(),\n    message: z.string().nullish(),\n    type: z.string().nullish()\n  })\n});\nvar errorToMessage = (data) => {\n  var _a, _b;\n  return (_b = (_a = data.error.message) != null ? _a : data.error.type) != null ? _b : \"unknown error\";\n};\n\n// src/version.ts\nvar VERSION = true ? \"3.0.26\" : \"0.0.0-test\";\n\n// src/perplexity-provider.ts\nfunction createPerplexity(options = {}) {\n  const getHeaders = () => withUserAgentSuffix(\n    {\n      Authorization: `Bearer ${loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: \"PERPLEXITY_API_KEY\",\n        description: \"Perplexity\"\n      })}`,\n      ...options.headers\n    },\n    `ai-sdk/perplexity/${VERSION}`\n  );\n  const createLanguageModel = (modelId) => {\n    var _a;\n    return new PerplexityLanguageModel(modelId, {\n      baseURL: withoutTrailingSlash(\n        (_a = options.baseURL) != null ? _a : \"https://api.perplexity.ai\"\n      ),\n      headers: getHeaders,\n      generateId,\n      fetch: options.fetch\n    });\n  };\n  const provider = (modelId) => createLanguageModel(modelId);\n  provider.specificationVersion = \"v3\";\n  provider.languageModel = createLanguageModel;\n  provider.embeddingModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"embeddingModel\" });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId) => {\n    throw new NoSuchModelError({ modelId, modelType: \"imageModel\" });\n  };\n  return provider;\n}\nvar perplexity = createPerplexity();\nexport {\n  VERSION,\n  createPerplexity,\n  perplexity\n};\n//# sourceMappingURL=index.mjs.map"
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-}

bin/chunk-wj7een5w.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/image-input.ts"],
-  "sourcesContent": [
-    "import { Effect, Encoding } from \"effect\"\nimport type { ImageInput } from \"../../image\"\nimport { InvalidRequestReason, LLMError } from \"../../schema\"\n\nconst invalid = (module: string, message: string) =>\n  new LLMError({\n    module,\n    method: \"generate\",\n    reason: new InvalidRequestReason({ message }),\n  })\n\nexport const dataUrl = (input: Extract<ImageInput, { readonly type: \"bytes\" }>) =>\n  `data:${input.mediaType};base64,${Encoding.encodeBase64(input.data)}`\n\nexport const decodeDataUrl = (\n  url: string,\n  module: string,\n): Effect.Effect<{ readonly mediaType: string; readonly data: Uint8Array } | undefined, LLMError> => {\n  if (!url.startsWith(\"data:\")) return Effect.succeed(undefined)\n  const match = /^data:([^;,]+);base64,(.*)$/s.exec(url)\n  if (!match) return Effect.fail(invalid(module, \"Image data URLs must contain a MIME type and base64 data\"))\n  return Effect.fromResult(Encoding.decodeBase64(match[2])).pipe(\n    Effect.mapError(() => invalid(module, \"Image data URL contains invalid base64 data\")),\n    Effect.map((data) => ({ mediaType: match[1], data })),\n  )\n}\n\nexport const invalidImageInput = invalid\n\nexport const ImageInputs = {\n  dataUrl,\n  decodeDataUrl,\n  invalid: invalidImageInput,\n} as const\n"
-  ],
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-  "names": []
-}

bin/chunk-x0y2bd46.js.map

-{
-  "version": 3,
-  "sources": ["../core/src/database/migration/20260707120000_migrate_prelaunch_v2_state.ts"],
-  "sourcesContent": [
-    "import { sql } from \"drizzle-orm\"\nimport { Effect, Schema } from \"effect\"\nimport type { DatabaseMigration } from \"../migration\"\n\nconst decodeJson = Schema.decodeUnknownSync(Schema.UnknownFromJsonString)\nconst isObject = Schema.is(Schema.Record(Schema.String, Schema.Unknown))\n\nexport default {\n  id: \"20260707120000_migrate_prelaunch_v2_state\",\n  up(tx) {\n    return Effect.gen(function* () {\n      yield* tx.run(\n        sql`DELETE FROM session_message WHERE type = 'compaction' AND json_extract(data, '$.status') = 'queued'`,\n      )\n      const messages = yield* tx.all<{ id: string; type: string; data: string }>(\n        sql`SELECT id, type, data FROM session_message WHERE type IN ('skill', 'shell', 'assistant', 'compaction', 'synthetic')`,\n      )\n      for (const row of messages) {\n        const data = object(decodeJson(row.data))\n        yield* tx.run(\n          sql`UPDATE session_message SET data = ${JSON.stringify(messageData(row.type, data))} WHERE id = ${row.id}`,\n        )\n      }\n\n      yield* tx.run(sql`DELETE FROM event WHERE type = 'session.compaction.delta.1'`)\n      const events = yield* tx.all<{ id: string; aggregateID: string; seq: number; type: string; data: string }>(sql`\n        SELECT id, aggregate_id as aggregateID, seq, type, data\n        FROM event\n        WHERE type IN (\n          'session.skill.activated.1',\n          'session.skill.activated.2',\n          'session.compaction.started.1',\n          'session.compaction.started.2',\n          'session.compaction.ended.1',\n          'session.compaction.failed.1',\n          'session.compaction.failed.2',\n          'session.revert.staged.1',\n          'session.revert.staged.2'\n        )\n        ORDER BY aggregate_id, seq\n      `)\n      const compactionReasons = new Map<string, \"auto\" | \"manual\">()\n      for (const row of events) {\n        const data = object(decodeJson(row.data))\n        if (row.type.startsWith(\"session.compaction.ended.\")) {\n          compactionReasons.delete(row.aggregateID)\n          continue\n        }\n        const event = eventData(row.type, data, compactionReasons.get(row.aggregateID))\n        if (row.type.startsWith(\"session.compaction.started.\"))\n          compactionReasons.set(row.aggregateID, event.data.reason === \"auto\" ? \"auto\" : \"manual\")\n        if (row.type.startsWith(\"session.compaction.failed.\")) compactionReasons.delete(row.aggregateID)\n        yield* tx.run(\n          sql`UPDATE event SET type = ${event.type}, data = ${JSON.stringify(event.data)} WHERE id = ${row.id}`,\n        )\n      }\n    })\n  },\n} satisfies DatabaseMigration.Migration\n\nfunction messageData(type: string, data: Record<string, unknown>) {\n  if (type === \"skill\")\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      skill: data.skill ?? data.id ?? data.name,\n      name: data.name,\n      text: data.text,\n    })\n  if (type === \"shell\") {\n    const shell = object(data.shell)\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      shellID: data.shellID ?? shell.id,\n      command: data.command ?? shell.command,\n      status: data.status ?? shell.status,\n      exit: data.exit ?? shell.exit,\n      output: data.output,\n    })\n  }\n  if (type === \"assistant\")\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      agent: data.agent,\n      model: data.model,\n      content: Array.isArray(data.content) ? data.content.map(assistantContent) : data.content,\n      snapshot: data.snapshot,\n      finish: data.finish,\n      cost: data.cost,\n      tokens: data.tokens,\n      error: data.error,\n      retry: data.retry,\n    })\n  if (type === \"compaction\") {\n    if (data.status === \"failed\")\n      return defined({\n        metadata: data.metadata,\n        time: data.time,\n        status: data.status,\n        reason: data.reason,\n        error: data.error ?? genericCompactionError,\n      })\n    return defined({\n      metadata: data.metadata,\n      time: data.time,\n      status: data.status,\n      reason: data.reason,\n      summary: data.summary,\n      recent: data.recent,\n    })\n  }\n  if (type === \"synthetic\")\n    return defined({ metadata: data.metadata, time: data.time, text: data.text, description: data.description })\n  const { sessionID: _, ...current } = data\n  return current\n}\n\nfunction assistantContent(value: unknown) {\n  const content = object(value)\n  if (content.type === \"text\") return defined({ type: content.type, text: content.text })\n  if (content.type === \"reasoning\")\n    return defined({ type: content.type, text: content.text, state: content.state, time: content.time })\n  if (content.type !== \"tool\") return content\n  return defined({\n    type: content.type,\n    id: content.id,\n    name: content.name,\n    executed: content.executed,\n    providerState: content.providerState,\n    providerResultState: content.providerResultState,\n    state: toolState(content.state),\n    time: content.time,\n  })\n}\n\nfunction toolState(value: unknown) {\n  const state = object(value)\n  if (state.status === \"pending\" || state.status === \"streaming\")\n    return defined({ status: \"streaming\", input: state.input })\n  if (state.status === \"running\")\n    return defined({ status: state.status, input: state.input, structured: state.structured, content: state.content })\n  if (state.status === \"completed\")\n    return defined({\n      status: state.status,\n      input: state.input,\n      structured: state.structured,\n      content: state.content,\n      result: state.result,\n    })\n  if (state.status === \"error\")\n    return defined({\n      status: state.status,\n      input: state.input,\n      structured: state.structured,\n      content: state.content,\n      error: state.error,\n      result: state.result,\n    })\n  return state\n}\n\nfunction eventData(type: string, data: Record<string, unknown>, compactionReason?: \"auto\" | \"manual\") {\n  if (type.startsWith(\"session.skill.activated.\"))\n    return {\n      type: \"session.skill.activated.1\",\n      data: defined({ sessionID: data.sessionID, id: data.id ?? data.name, name: data.name, text: data.text }),\n    }\n  if (type.startsWith(\"session.compaction.started.\"))\n    return {\n      type: \"session.compaction.started.1\",\n      data: defined({\n        sessionID: data.sessionID,\n        reason: data.reason,\n        recent: data.recent ?? \"\",\n        inputID: data.inputID,\n      }),\n    }\n  if (type.startsWith(\"session.compaction.failed.\"))\n    return {\n      type: \"session.compaction.failed.1\",\n      data: defined({\n        sessionID: data.sessionID,\n        reason: data.reason ?? compactionReason ?? \"manual\",\n        error: data.error ?? genericCompactionError,\n        inputID: data.inputID,\n      }),\n    }\n  const revert = object(data.revert)\n  return {\n    type: \"session.revert.staged.1\",\n    data: defined({\n      sessionID: data.sessionID,\n      revert: defined({\n        messageID: revert.messageID,\n        partID: revert.partID,\n        snapshot: revert.snapshot,\n        files: Array.isArray(revert.files)\n          ? revert.files.map((value) => {\n              const file = object(value)\n              return defined({\n                file: file.file ?? file.path,\n                patch: file.patch,\n                additions: file.additions,\n                deletions: file.deletions,\n                status: file.status,\n              })\n            })\n          : undefined,\n      }),\n    }),\n  }\n}\n\nconst genericCompactionError = {\n  type: \"compaction.failed\",\n  message: \"Compaction failed before recording an error\",\n}\n\nfunction object(value: unknown): Record<string, unknown> {\n  return isObject(value) ? value : {}\n}\n\nfunction defined(value: Record<string, unknown>) {\n  return Object.fromEntries(Object.entries(value).filter((entry) => entry[1] !== undefined))\n}\n"
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bin/chunk-x3b641pn.js.map

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-  "sources": [],
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-  "names": []
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bin/chunk-x94p0mgv.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/auth.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport {\n  OpenCode,\n  type IntegrationAttemptStatus,\n  type IntegrationOAuthMethod,\n  type OpenCodeClient,\n} from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.auth,\n  Effect.fn(\"cli.mcp.auth\")(function* (input) {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n    const integration = yield* resolveIntegration(client, input.name, location)\n    if (!integration)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n    const method = integration.methods.find(\n      (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n    )\n    if (!method)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n    const started = yield* Effect.promise(() =>\n      client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, inputs: {}, location }),\n    )\n    const attempt = started.data\n    if (attempt.mode === \"code\")\n      return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n    process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n    const result = yield* poll(client, integration.id, attempt.attemptID)\n    if (result.status === \"complete\") {\n      process.stdout.write(`Authenticated with ${input.name}` + EOL)\n      return\n    }\n    const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n    return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n  }),\n)\n\nconst poll = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n  Effect.gen(function* () {\n    const status = yield* Effect.promise(() =>\n      client.integration.oauth.status({ integrationID, attemptID, location }),\n    ).pipe(Effect.map((result) => result.data))\n    if (status.status === \"pending\") {\n      yield* Effect.sleep(\"1 second\")\n      return yield* poll(client, integrationID, attemptID)\n    }\n    return status\n  })\n"
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bin/chunk-ybbzb256.js.map

-{
-  "version": 3,
-  "sources": ["../tui/src/prompt/display.ts"],
-  "sourcesContent": [
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bin/chunk-yvxez52r.js.map

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bin/chunk-yz2k9nex.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/get.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.get,\n  Effect.fn(\"cli.service.get\")(function* (input) {\n    process.stdout.write((yield* ServiceConfig.get(Option.getOrUndefined(input.key))) + EOL)\n  }),\n)\n"
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bin/chunk-zcr1vgha.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/add.ts"],
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bin/chunk-zefdsrvw.js.map

-{
-  "version": 3,
-  "sources": ["../../node_modules/.bun/fuzzysort@3.1.0/node_modules/fuzzysort/fuzzysort.js"],
-  "sourcesContent": [
-    "// https://github.com/farzher/fuzzysort v3.0.2\r\n\r\n// UMD (Universal Module Definition) for fuzzysort\r\n;((root, UMD) => {\r\n  if(typeof define === 'function' && define.amd) define([], UMD)\r\n  else if(typeof module === 'object' && module.exports) module.exports = UMD()\r\n  else root['fuzzysort'] = UMD()\r\n})(this, _ => {\r\n  'use strict'\r\n\r\n  var single = (search, target) => {\r\n    if(!search || !target) return NULL\r\n\r\n    var preparedSearch = getPreparedSearch(search)\r\n    if(!isPrepared(target)) target = getPrepared(target)\r\n\r\n    var searchBitflags = preparedSearch.bitflags\r\n    if((searchBitflags & target._bitflags) !== searchBitflags) return NULL\r\n\r\n    return algorithm(preparedSearch, target)\r\n  }\r\n\r\n  var go = (search, targets, options) => {\r\n    if(!search) return options?.all ? all(targets, options) : noResults\r\n\r\n    var preparedSearch = getPreparedSearch(search)\r\n    var searchBitflags = preparedSearch.bitflags\r\n    var containsSpace  = preparedSearch.containsSpace\r\n\r\n    var threshold = denormalizeScore( options?.threshold || 0 )\r\n    var limit     = options?.limit || INFINITY\r\n\r\n    var resultsLen = 0; var limitedCount = 0\r\n    var targetsLen = targets.length\r\n\r\n    function push_result(result) {\r\n      if(resultsLen < limit) { q.add(result); ++resultsLen }\r\n      else {\r\n        ++limitedCount\r\n        if(result._score > q.peek()._score) q.replaceTop(result)\r\n      }\r\n    }\r\n\r\n    // This code is copy/pasted 3 times for performance reasons [options.key, options.keys, no keys]\r\n\r\n    // options.key\r\n    if(options?.key) {\r\n      var key = options.key\r\n      for(var i = 0; i < targetsLen; ++i) { var obj = targets[i]\r\n        var target = getValue(obj, key)\r\n        if(!target) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n\r\n        if((searchBitflags & target._bitflags) !== searchBitflags) continue\r\n        var result = algorithm(preparedSearch, target)\r\n        if(result === NULL) continue\r\n        if(result._score < threshold) continue\r\n\r\n        result.obj = obj\r\n        push_result(result)\r\n      }\r\n\r\n    // options.keys\r\n    } else if(options?.keys) {\r\n      var keys = options.keys\r\n      var keysLen = keys.length\r\n\r\n      outer: for(var i = 0; i < targetsLen; ++i) { var obj = targets[i]\r\n\r\n        { // early out based on bitflags\r\n          var keysBitflags = 0\r\n          for (var keyI = 0; keyI < keysLen; ++keyI) {\r\n            var key = keys[keyI]\r\n            var target = getValue(obj, key)\r\n            if(!target) { tmpTargets[keyI] = noTarget; continue }\r\n            if(!isPrepared(target)) target = getPrepared(target)\r\n            tmpTargets[keyI] = target\r\n\r\n            keysBitflags |= target._bitflags\r\n          }\r\n\r\n          if((searchBitflags & keysBitflags) !== searchBitflags) continue\r\n        }\r\n\r\n        if(containsSpace) for(let i=0; i<preparedSearch.spaceSearches.length; i++) keysSpacesBestScores[i] = NEGATIVE_INFINITY\r\n\r\n        for (var keyI = 0; keyI < keysLen; ++keyI) {\r\n          target = tmpTargets[keyI]\r\n          if(target === noTarget) { tmpResults[keyI] = noTarget; continue }\r\n\r\n          tmpResults[keyI] = algorithm(preparedSearch, target, /*allowSpaces=*/false, /*allowPartialMatch=*/containsSpace)\r\n          if(tmpResults[keyI] === NULL) { tmpResults[keyI] = noTarget; continue }\r\n\r\n          // todo: this seems weird and wrong. like what if our first match wasn't good. this should just replace it instead of averaging with it\r\n          // if our second match isn't good we ignore it instead of averaging with it\r\n          if(containsSpace) for(let i=0; i<preparedSearch.spaceSearches.length; i++) {\r\n            if(allowPartialMatchScores[i] > -1000) {\r\n              if(keysSpacesBestScores[i] > NEGATIVE_INFINITY) {\r\n                var tmp = (keysSpacesBestScores[i] + allowPartialMatchScores[i]) / 4/*bonus score for having multiple matches*/\r\n                if(tmp > keysSpacesBestScores[i]) keysSpacesBestScores[i] = tmp\r\n              }\r\n            }\r\n            if(allowPartialMatchScores[i] > keysSpacesBestScores[i]) keysSpacesBestScores[i] = allowPartialMatchScores[i]\r\n          }\r\n        }\r\n\r\n        if(containsSpace) {\r\n          for(let i=0; i<preparedSearch.spaceSearches.length; i++) { if(keysSpacesBestScores[i] === NEGATIVE_INFINITY) continue outer }\r\n        } else {\r\n          var hasAtLeast1Match = false\r\n          for(let i=0; i < keysLen; i++) { if(tmpResults[i]._score !== NEGATIVE_INFINITY) { hasAtLeast1Match = true; break } }\r\n          if(!hasAtLeast1Match) continue\r\n        }\r\n\r\n        var objResults = new KeysResult(keysLen)\r\n        for(let i=0; i < keysLen; i++) { objResults[i] = tmpResults[i] }\r\n\r\n        if(containsSpace) {\r\n          var score = 0\r\n          for(let i=0; i<preparedSearch.spaceSearches.length; i++) score += keysSpacesBestScores[i]\r\n        } else {\r\n          // todo could rewrite this scoring to be more similar to when there's spaces\r\n          // if we match multiple keys give us bonus points\r\n          var score = NEGATIVE_INFINITY\r\n          for(let i=0; i<keysLen; i++) {\r\n            var result = objResults[i]\r\n            if(result._score > -1000) {\r\n              if(score > NEGATIVE_INFINITY) {\r\n                var tmp = (score + result._score) / 4/*bonus score for having multiple matches*/\r\n                if(tmp > score) score = tmp\r\n              }\r\n            }\r\n            if(result._score > score) score = result._score\r\n          }\r\n        }\r\n\r\n        objResults.obj = obj\r\n        objResults._score = score\r\n        if(options?.scoreFn) {\r\n          score = options.scoreFn(objResults)\r\n          if(!score) continue\r\n          score = denormalizeScore(score)\r\n          objResults._score = score\r\n        }\r\n\r\n        if(score < threshold) continue\r\n        push_result(objResults)\r\n      }\r\n\r\n    // no keys\r\n    } else {\r\n      for(var i = 0; i < targetsLen; ++i) { var target = targets[i]\r\n        if(!target) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n\r\n        if((searchBitflags & target._bitflags) !== searchBitflags) continue\r\n        var result = algorithm(preparedSearch, target)\r\n        if(result === NULL) continue\r\n        if(result._score < threshold) continue\r\n\r\n        push_result(result)\r\n      }\r\n    }\r\n\r\n    if(resultsLen === 0) return noResults\r\n    var results = new Array(resultsLen)\r\n    for(var i = resultsLen - 1; i >= 0; --i) results[i] = q.poll()\r\n    results.total = resultsLen + limitedCount\r\n    return results\r\n  }\r\n\r\n\r\n  // this is written as 1 function instead of 2 for minification. perf seems fine ...\r\n  // except when minified. the perf is very slow\r\n  var highlight = (result, open='<b>', close='</b>') => {\r\n    var callback = typeof open === 'function' ? open : undefined\r\n\r\n    var target      = result.target\r\n    var targetLen   = target.length\r\n    var indexes     = result.indexes\r\n    var highlighted = ''\r\n    var matchI      = 0\r\n    var indexesI    = 0\r\n    var opened      = false\r\n    var parts       = []\r\n\r\n    for(var i = 0; i < targetLen; ++i) { var char = target[i]\r\n      if(indexes[indexesI] === i) {\r\n        ++indexesI\r\n        if(!opened) { opened = true\r\n          if(callback) {\r\n            parts.push(highlighted); highlighted = ''\r\n          } else {\r\n            highlighted += open\r\n          }\r\n        }\r\n\r\n        if(indexesI === indexes.length) {\r\n          if(callback) {\r\n            highlighted += char\r\n            parts.push(callback(highlighted, matchI++)); highlighted = ''\r\n            parts.push(target.substr(i+1))\r\n          } else {\r\n            highlighted += char + close + target.substr(i+1)\r\n          }\r\n          break\r\n        }\r\n      } else {\r\n        if(opened) { opened = false\r\n          if(callback) {\r\n            parts.push(callback(highlighted, matchI++)); highlighted = ''\r\n          } else {\r\n            highlighted += close\r\n          }\r\n        }\r\n      }\r\n      highlighted += char\r\n    }\r\n\r\n    return callback ? parts : highlighted\r\n  }\r\n\r\n\r\n  var prepare = (target) => {\r\n    if(typeof target === 'number') target = ''+target\r\n    else if(typeof target !== 'string') target = ''\r\n    var info = prepareLowerInfo(target)\r\n    return new_result(target, {_targetLower:info._lower, _targetLowerCodes:info.lowerCodes, _bitflags:info.bitflags})\r\n  }\r\n\r\n  var cleanup = () => { preparedCache.clear(); preparedSearchCache.clear() }\r\n\r\n\r\n  // Below this point is only internal code\r\n  // Below this point is only internal code\r\n  // Below this point is only internal code\r\n  // Below this point is only internal code\r\n\r\n\r\n  class Result {\r\n    get ['indexes']() { return this._indexes.slice(0, this._indexes.len).sort((a,b)=>a-b) }\r\n    set ['indexes'](indexes) { return this._indexes = indexes }\r\n    ['highlight'](open, close) { return highlight(this, open, close) }\r\n    get ['score']() { return normalizeScore(this._score) }\r\n    set ['score'](score) { this._score = denormalizeScore(score) }\r\n  }\r\n\r\n  class KeysResult extends Array {\r\n    get ['score']() { return normalizeScore(this._score) }\r\n    set ['score'](score) { this._score = denormalizeScore(score) }\r\n  }\r\n\r\n  var new_result = (target, options) => {\r\n    const result = new Result()\r\n    result['target']             = target\r\n    result['obj']                = options.obj                   ?? NULL\r\n    result._score                = options._score                ?? NEGATIVE_INFINITY\r\n    result._indexes              = options._indexes              ?? []\r\n    result._targetLower          = options._targetLower          ?? ''\r\n    result._targetLowerCodes     = options._targetLowerCodes     ?? NULL\r\n    result._nextBeginningIndexes = options._nextBeginningIndexes ?? NULL\r\n    result._bitflags             = options._bitflags             ?? 0\r\n    return result\r\n  }\r\n\r\n\r\n  var normalizeScore = score => {\r\n    if(score === NEGATIVE_INFINITY) return 0\r\n    if(score > 1) return score\r\n    return Math.E ** ( ((-score + 1)**.04307 - 1) * -2)\r\n  }\r\n  var denormalizeScore = normalizedScore => {\r\n    if(normalizedScore === 0) return NEGATIVE_INFINITY\r\n    if(normalizedScore > 1) return normalizedScore\r\n    return 1 - Math.pow((Math.log(normalizedScore) / -2 + 1), 1 / 0.04307)\r\n  }\r\n\r\n\r\n  var prepareSearch = (search) => {\r\n    if(typeof search === 'number') search = ''+search\r\n    else if(typeof search !== 'string') search = ''\r\n    search = search.trim()\r\n    var info = prepareLowerInfo(search)\r\n\r\n    var spaceSearches = []\r\n    if(info.containsSpace) {\r\n      var searches = search.split(/\\s+/)\r\n      searches = [...new Set(searches)] // distinct\r\n      for(var i=0; i<searches.length; i++) {\r\n        if(searches[i] === '') continue\r\n        var _info = prepareLowerInfo(searches[i])\r\n        spaceSearches.push({lowerCodes:_info.lowerCodes, _lower:searches[i].toLowerCase(), containsSpace:false})\r\n      }\r\n    }\r\n\r\n    return {lowerCodes: info.lowerCodes, _lower: info._lower, containsSpace: info.containsSpace, bitflags: info.bitflags, spaceSearches: spaceSearches}\r\n  }\r\n\r\n\r\n\r\n  var getPrepared = (target) => {\r\n    if(target.length > 999) return prepare(target) // don't cache huge targets\r\n    var targetPrepared = preparedCache.get(target)\r\n    if(targetPrepared !== undefined) return targetPrepared\r\n    targetPrepared = prepare(target)\r\n    preparedCache.set(target, targetPrepared)\r\n    return targetPrepared\r\n  }\r\n  var getPreparedSearch = (search) => {\r\n    if(search.length > 999) return prepareSearch(search) // don't cache huge searches\r\n    var searchPrepared = preparedSearchCache.get(search)\r\n    if(searchPrepared !== undefined) return searchPrepared\r\n    searchPrepared = prepareSearch(search)\r\n    preparedSearchCache.set(search, searchPrepared)\r\n    return searchPrepared\r\n  }\r\n\r\n\r\n  var all = (targets, options) => {\r\n    var results = []; results.total = targets.length // this total can be wrong if some targets are skipped\r\n\r\n    var limit = options?.limit || INFINITY\r\n\r\n    if(options?.key) {\r\n      for(var i=0;i<targets.length;i++) { var obj = targets[i]\r\n        var target = getValue(obj, options.key)\r\n        if(target == NULL) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n        var result = new_result(target.target, {_score: target._score, obj: obj})\r\n        results.push(result); if(results.length >= limit) return results\r\n      }\r\n    } else if(options?.keys) {\r\n      for(var i=0;i<targets.length;i++) { var obj = targets[i]\r\n        var objResults = new KeysResult(options.keys.length)\r\n        for (var keyI = options.keys.length - 1; keyI >= 0; --keyI) {\r\n          var target = getValue(obj, options.keys[keyI])\r\n          if(!target) { objResults[keyI] = noTarget; continue }\r\n          if(!isPrepared(target)) target = getPrepared(target)\r\n          target._score = NEGATIVE_INFINITY\r\n          target._indexes.len = 0\r\n          objResults[keyI] = target\r\n        }\r\n        objResults.obj = obj\r\n        objResults._score = NEGATIVE_INFINITY\r\n        results.push(objResults); if(results.length >= limit) return results\r\n      }\r\n    } else {\r\n      for(var i=0;i<targets.length;i++) { var target = targets[i]\r\n        if(target == NULL) continue\r\n        if(!isPrepared(target)) target = getPrepared(target)\r\n        target._score = NEGATIVE_INFINITY\r\n        target._indexes.len = 0\r\n        results.push(target); if(results.length >= limit) return results\r\n      }\r\n    }\r\n\r\n    return results\r\n  }\r\n\r\n\r\n  var algorithm = (preparedSearch, prepared, allowSpaces=false, allowPartialMatch=false) => {\r\n    if(allowSpaces===false && preparedSearch.containsSpace) return algorithmSpaces(preparedSearch, prepared, allowPartialMatch)\r\n\r\n    var searchLower      = preparedSearch._lower\r\n    var searchLowerCodes = preparedSearch.lowerCodes\r\n    var searchLowerCode  = searchLowerCodes[0]\r\n    var targetLowerCodes = prepared._targetLowerCodes\r\n    var searchLen        = searchLowerCodes.length\r\n    var targetLen        = targetLowerCodes.length\r\n    var searchI          = 0 // where we at\r\n    var targetI          = 0 // where you at\r\n    var matchesSimpleLen = 0\r\n\r\n    // very basic fuzzy match; to remove non-matching targets ASAP!\r\n    // walk through target. find sequential matches.\r\n    // if all chars aren't found then exit\r\n    for(;;) {\r\n      var isMatch = searchLowerCode === targetLowerCodes[targetI]\r\n      if(isMatch) {\r\n        matchesSimple[matchesSimpleLen++] = targetI\r\n        ++searchI; if(searchI === searchLen) break\r\n        searchLowerCode = searchLowerCodes[searchI]\r\n      }\r\n      ++targetI; if(targetI >= targetLen) return NULL // Failed to find searchI\r\n    }\r\n\r\n    var searchI = 0\r\n    var successStrict = false\r\n    var matchesStrictLen = 0\r\n\r\n    var nextBeginningIndexes = prepared._nextBeginningIndexes\r\n    if(nextBeginningIndexes === NULL) nextBeginningIndexes = prepared._nextBeginningIndexes = prepareNextBeginningIndexes(prepared.target)\r\n    targetI = matchesSimple[0]===0 ? 0 : nextBeginningIndexes[matchesSimple[0]-1]\r\n\r\n    // Our target string successfully matched all characters in sequence!\r\n    // Let's try a more advanced and strict test to improve the score\r\n    // only count it as a match if it's consecutive or a beginning character!\r\n    var backtrackCount = 0\r\n    if(targetI !== targetLen) for(;;) {\r\n      if(targetI >= targetLen) {\r\n        // We failed to find a good spot for this search char, go back to the previous search char and force it forward\r\n        if(searchI <= 0) break // We failed to push chars forward for a better match\r\n\r\n        ++backtrackCount; if(backtrackCount > 200) break // exponential backtracking is taking too long, just give up and return a bad match\r\n\r\n        --searchI\r\n        var lastMatch = matchesStrict[--matchesStrictLen]\r\n        targetI = nextBeginningIndexes[lastMatch]\r\n\r\n      } else {\r\n        var isMatch = searchLowerCodes[searchI] === targetLowerCodes[targetI]\r\n        if(isMatch) {\r\n          matchesStrict[matchesStrictLen++] = targetI\r\n          ++searchI; if(searchI === searchLen) { successStrict = true; break }\r\n          ++targetI\r\n        } else {\r\n          targetI = nextBeginningIndexes[targetI]\r\n        }\r\n      }\r\n    }\r\n\r\n    // check if it's a substring match\r\n    var substringIndex = searchLen <= 1 ? -1 : prepared._targetLower.indexOf(searchLower, matchesSimple[0]) // perf: this is slow\r\n    var isSubstring = !!~substringIndex\r\n    var isSubstringBeginning = !isSubstring ? false : substringIndex===0 || prepared._nextBeginningIndexes[substringIndex-1] === substringIndex\r\n\r\n    // if it's a substring match but not at a beginning index, let's try to find a substring starting at a beginning index for a better score\r\n    if(isSubstring && !isSubstringBeginning) {\r\n      for(var i=0; i<nextBeginningIndexes.length; i=nextBeginningIndexes[i]) {\r\n        if(i <= substringIndex) continue\r\n\r\n        for(var s=0; s<searchLen; s++) if(searchLowerCodes[s] !== prepared._targetLowerCodes[i+s]) break\r\n        if(s === searchLen) { substringIndex = i; isSubstringBeginning = true; break }\r\n      }\r\n    }\r\n\r\n    // tally up the score & keep track of matches for highlighting later\r\n    // if it's a simple match, we'll switch to a substring match if a substring exists\r\n    // if it's a strict match, we'll switch to a substring match only if that's a better score\r\n\r\n    var calculateScore = matches => {\r\n      var score = 0\r\n\r\n      var extraMatchGroupCount = 0\r\n      for(var i = 1; i < searchLen; ++i) {\r\n        if(matches[i] - matches[i-1] !== 1) {score -= matches[i]; ++extraMatchGroupCount}\r\n      }\r\n      var unmatchedDistance = matches[searchLen-1] - matches[0] - (searchLen-1)\r\n\r\n      score -= (12+unmatchedDistance) * extraMatchGroupCount // penality for more groups\r\n\r\n      if(matches[0] !== 0) score -= matches[0]*matches[0]*.2 // penality for not starting near the beginning\r\n\r\n      if(!successStrict) {\r\n        score *= 1000\r\n      } else {\r\n        // successStrict on a target with too many beginning indexes loses points for being a bad target\r\n        var uniqueBeginningIndexes = 1\r\n        for(var i = nextBeginningIndexes[0]; i < targetLen; i=nextBeginningIndexes[i]) ++uniqueBeginningIndexes\r\n\r\n        if(uniqueBeginningIndexes > 24) score *= (uniqueBeginningIndexes-24)*10 // quite arbitrary numbers here ...\r\n      }\r\n\r\n      score -= (targetLen - searchLen)/2 // penality for longer targets\r\n\r\n      if(isSubstring)          score /= 1+searchLen*searchLen*1 // bonus for being a full substring\r\n      if(isSubstringBeginning) score /= 1+searchLen*searchLen*1 // bonus for substring starting on a beginningIndex\r\n\r\n      score -= (targetLen - searchLen)/2 // penality for longer targets\r\n\r\n      return score\r\n    }\r\n\r\n    if(!successStrict) {\r\n      if(isSubstring) for(var i=0; i<searchLen; ++i) matchesSimple[i] = substringIndex+i // at this point it's safe to overwrite matchehsSimple with substr matches\r\n      var matchesBest = matchesSimple\r\n      var score = calculateScore(matchesBest)\r\n    } else {\r\n      if(isSubstringBeginning) {\r\n        for(var i=0; i<searchLen; ++i) matchesSimple[i] = substringIndex+i // at this point it's safe to overwrite matchehsSimple with substr matches\r\n        var matchesBest = matchesSimple\r\n        var score = calculateScore(matchesSimple)\r\n      } else {\r\n        var matchesBest = matchesStrict\r\n        var score = calculateScore(matchesStrict)\r\n      }\r\n    }\r\n\r\n    prepared._score = score\r\n\r\n    for(var i = 0; i < searchLen; ++i) prepared._indexes[i] = matchesBest[i]\r\n    prepared._indexes.len = searchLen\r\n\r\n    const result    = new Result()\r\n    result.target   = prepared.target\r\n    result._score   = prepared._score\r\n    result._indexes = prepared._indexes\r\n    return result\r\n  }\r\n  var algorithmSpaces = (preparedSearch, target, allowPartialMatch) => {\r\n    var seen_indexes = new Set()\r\n    var score = 0\r\n    var result = NULL\r\n\r\n    var first_seen_index_last_search = 0\r\n    var searches = preparedSearch.spaceSearches\r\n    var searchesLen = searches.length\r\n    var changeslen = 0\r\n\r\n    // Return _nextBeginningIndexes back to its normal state\r\n    var resetNextBeginningIndexes = () => {\r\n      for(let i=changeslen-1; i>=0; i--) target._nextBeginningIndexes[nextBeginningIndexesChanges[i*2 + 0]] = nextBeginningIndexesChanges[i*2 + 1]\r\n    }\r\n\r\n    var hasAtLeast1Match = false\r\n    for(var i=0; i<searchesLen; ++i) {\r\n      allowPartialMatchScores[i] = NEGATIVE_INFINITY\r\n      var search = searches[i]\r\n\r\n      result = algorithm(search, target)\r\n      if(allowPartialMatch) {\r\n        if(result === NULL) continue\r\n        hasAtLeast1Match = true\r\n      } else {\r\n        if(result === NULL) {resetNextBeginningIndexes(); return NULL}\r\n      }\r\n\r\n      // if not the last search, we need to mutate _nextBeginningIndexes for the next search\r\n      var isTheLastSearch = i === searchesLen - 1\r\n      if(!isTheLastSearch) {\r\n        var indexes = result._indexes\r\n\r\n        var indexesIsConsecutiveSubstring = true\r\n        for(let i=0; i<indexes.len-1; i++) {\r\n          if(indexes[i+1] - indexes[i] !== 1) {\r\n            indexesIsConsecutiveSubstring = false; break;\r\n          }\r\n        }\r\n\r\n        if(indexesIsConsecutiveSubstring) {\r\n          var newBeginningIndex = indexes[indexes.len-1] + 1\r\n          var toReplace = target._nextBeginningIndexes[newBeginningIndex-1]\r\n          for(let i=newBeginningIndex-1; i>=0; i--) {\r\n            if(toReplace !== target._nextBeginningIndexes[i]) break\r\n            target._nextBeginningIndexes[i] = newBeginningIndex\r\n            nextBeginningIndexesChanges[changeslen*2 + 0] = i\r\n            nextBeginningIndexesChanges[changeslen*2 + 1] = toReplace\r\n            changeslen++\r\n          }\r\n        }\r\n      }\r\n\r\n      score += result._score / searchesLen\r\n      allowPartialMatchScores[i] = result._score / searchesLen\r\n\r\n      // dock points based on order otherwise \"c man\" returns Manifest.cpp instead of CheatManager.h\r\n      if(result._indexes[0] < first_seen_index_last_search) {\r\n        score -= (first_seen_index_last_search - result._indexes[0]) * 2\r\n      }\r\n      first_seen_index_last_search = result._indexes[0]\r\n\r\n      for(var j=0; j<result._indexes.len; ++j) seen_indexes.add(result._indexes[j])\r\n    }\r\n\r\n    if(allowPartialMatch && !hasAtLeast1Match) return NULL\r\n\r\n    resetNextBeginningIndexes()\r\n\r\n    // allows a search with spaces that's an exact substring to score well\r\n    var allowSpacesResult = algorithm(preparedSearch, target, /*allowSpaces=*/true)\r\n    if(allowSpacesResult !== NULL && allowSpacesResult._score > score) {\r\n      if(allowPartialMatch) {\r\n        for(var i=0; i<searchesLen; ++i) {\r\n          allowPartialMatchScores[i] = allowSpacesResult._score / searchesLen\r\n        }\r\n      }\r\n      return allowSpacesResult\r\n    }\r\n\r\n    if(allowPartialMatch) result = target\r\n    result._score = score\r\n\r\n    var i = 0\r\n    for (let index of seen_indexes) result._indexes[i++] = index\r\n    result._indexes.len = i\r\n\r\n    return result\r\n  }\r\n\r\n  // we use this instead of just .normalize('NFD').replace(/[\\u0300-\\u036f]/g, '') because that screws with japanese characters\r\n  var remove_accents = (str) => str.replace(/\\p{Script=Latin}+/gu, match => match.normalize('NFD')).replace(/[\\u0300-\\u036f]/g, '')\r\n\r\n  var prepareLowerInfo = (str) => {\r\n    str = remove_accents(str)\r\n    var strLen = str.length\r\n    var lower = str.toLowerCase()\r\n    var lowerCodes = [] // new Array(strLen)    sparse array is too slow\r\n    var bitflags = 0\r\n    var containsSpace = false // space isn't stored in bitflags because of how searching with a space works\r\n\r\n    for(var i = 0; i < strLen; ++i) {\r\n      var lowerCode = lowerCodes[i] = lower.charCodeAt(i)\r\n\r\n      if(lowerCode === 32) {\r\n        containsSpace = true\r\n        continue // it's important that we don't set any bitflags for space\r\n      }\r\n\r\n      var bit = lowerCode>=97&&lowerCode<=122 ? lowerCode-97 // alphabet\r\n              : lowerCode>=48&&lowerCode<=57  ? 26           // numbers\r\n                                                             // 3 bits available\r\n              : lowerCode<=127                ? 30           // other ascii\r\n              :                                 31           // other utf8\r\n      bitflags |= 1<<bit\r\n    }\r\n\r\n    return {lowerCodes:lowerCodes, bitflags:bitflags, containsSpace:containsSpace, _lower:lower}\r\n  }\r\n  var prepareBeginningIndexes = (target) => {\r\n    var targetLen = target.length\r\n    var beginningIndexes = []; var beginningIndexesLen = 0\r\n    var wasUpper = false\r\n    var wasAlphanum = false\r\n    for(var i = 0; i < targetLen; ++i) {\r\n      var targetCode = target.charCodeAt(i)\r\n      var isUpper = targetCode>=65&&targetCode<=90\r\n      var isAlphanum = isUpper || targetCode>=97&&targetCode<=122 || targetCode>=48&&targetCode<=57\r\n      var isBeginning = isUpper && !wasUpper || !wasAlphanum || !isAlphanum\r\n      wasUpper = isUpper\r\n      wasAlphanum = isAlphanum\r\n      if(isBeginning) beginningIndexes[beginningIndexesLen++] = i\r\n    }\r\n    return beginningIndexes\r\n  }\r\n  var prepareNextBeginningIndexes = (target) => {\r\n    target = remove_accents(target)\r\n    var targetLen = target.length\r\n    var beginningIndexes = prepareBeginningIndexes(target)\r\n    var nextBeginningIndexes = [] // new Array(targetLen)     sparse array is too slow\r\n    var lastIsBeginning = beginningIndexes[0]\r\n    var lastIsBeginningI = 0\r\n    for(var i = 0; i < targetLen; ++i) {\r\n      if(lastIsBeginning > i) {\r\n        nextBeginningIndexes[i] = lastIsBeginning\r\n      } else {\r\n        lastIsBeginning = beginningIndexes[++lastIsBeginningI]\r\n        nextBeginningIndexes[i] = lastIsBeginning===undefined ? targetLen : lastIsBeginning\r\n      }\r\n    }\r\n    return nextBeginningIndexes\r\n  }\r\n\r\n  var preparedCache       = new Map()\r\n  var preparedSearchCache = new Map()\r\n\r\n  // the theory behind these being globals is to reduce garbage collection by not making new arrays\r\n  var matchesSimple = []; var matchesStrict = []\r\n  var nextBeginningIndexesChanges = [] // allows straw berry to match strawberry well, by modifying the end of a substring to be considered a beginning index for the rest of the search\r\n  var keysSpacesBestScores = []; var allowPartialMatchScores = []\r\n  var tmpTargets = []; var tmpResults = []\r\n\r\n  // prop = 'key'                  2.5ms optimized for this case, seems to be about as fast as direct obj[prop]\r\n  // prop = 'key1.key2'            10ms\r\n  // prop = ['key1', 'key2']       27ms\r\n  // prop = obj => obj.tags.join() ??ms\r\n  var getValue = (obj, prop) => {\r\n    var tmp = obj[prop]; if(tmp !== undefined) return tmp\r\n    if(typeof prop === 'function') return prop(obj) // this should run first. but that makes string props slower\r\n    var segs = prop\r\n    if(!Array.isArray(prop)) segs = prop.split('.')\r\n    var len = segs.length\r\n    var i = -1\r\n    while (obj && (++i < len)) obj = obj[segs[i]]\r\n    return obj\r\n  }\r\n\r\n  var isPrepared = (x) => { return typeof x === 'object' && typeof x._bitflags === 'number' }\r\n  var INFINITY = Infinity; var NEGATIVE_INFINITY = -INFINITY\r\n  var noResults = []; noResults.total = 0\r\n  var NULL = null\r\n\r\n  var noTarget = prepare('')\r\n\r\n  // Hacked version of https://github.com/lemire/FastPriorityQueue.js\r\n  var fastpriorityqueue=r=>{var e=[],o=0,a={},v=r=>{for(var a=0,v=e[a],c=1;c<o;){var s=c+1;a=c,s<o&&e[s]._score<e[c]._score&&(a=s),e[a-1>>1]=e[a],c=1+(a<<1)}for(var f=a-1>>1;a>0&&v._score<e[f]._score;f=(a=f)-1>>1)e[a]=e[f];e[a]=v};return a.add=(r=>{var a=o;e[o++]=r;for(var v=a-1>>1;a>0&&r._score<e[v]._score;v=(a=v)-1>>1)e[a]=e[v];e[a]=r}),a.poll=(r=>{if(0!==o){var a=e[0];return e[0]=e[--o],v(),a}}),a.peek=(r=>{if(0!==o)return e[0]}),a.replaceTop=(r=>{e[0]=r,v()}),a}\r\n  var q = fastpriorityqueue() // reuse this\r\n\r\n  // fuzzysort is written this way for minification. all names are mangeled unless quoted\r\n  return {'single':single, 'go':go, 'prepare':prepare, 'cleanup':cleanup}\r\n}) // UMD\r\n"
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bin/chunk-zg8qd530.js.map

-{
-  "version": 3,
-  "sources": ["src/version.ts"],
-  "sourcesContent": [
-    "declare const OPENCODE_VERSION: string\ndeclare const OPENCODE_CHANNEL: string\n\nconst version = typeof OPENCODE_VERSION === \"string\" ? OPENCODE_VERSION : \"local\"\nconst channel = typeof OPENCODE_CHANNEL === \"string\" ? OPENCODE_CHANNEL : \"local\"\n\nexport { version as OPENCODE_VERSION, channel as OPENCODE_CHANNEL }\nexport const OPENCODE_LOCAL = channel === \"local\"\n"
-  ],
-  "mappings": ";AAGA,IAAM,EAAiD,mBACjD,EAAiD,OAGhD,IAAM,EAAiB",
-  "debugId": "8CC12C8C7908776A64756E2164756E21",
-  "names": []
-}

bin/chunk-zhr81v6p.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "E7D7F2D3D51A69CC64756E2164756E21",
-  "names": []
-}

No alert changes

Improved metrics

Total package byte prevSize

276043324

0

No dependency changes