@opencode-ai/cli-linux-x64-baseline - npm Package Compare versions

Comparing version 0.0.0-dev-17782 to 0.0.0-dev-17785

bin/chunk-063kzxxr.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"],
+  "sourcesContent": [
+    "import type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\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    provider: settings.provider,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible.js\"\n",
+    "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { AnthropicCompatible } from \"./anthropic-compatible.js\"\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    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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+  "debugId": "358D05D43B80EA9664756E2164756E21",
+  "names": []
+}

bin/chunk-06wr76dw.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openrouter.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { ProviderID, type CacheHint, type ModelID } from \"../schema/index.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache.js\"\nimport { isRecord } from \"../protocols/shared.js\"\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 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 = OpenRouterOptions\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),\n            ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\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  }\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    providerOptions: settings.providerOptions,\n  }).model(modelID)\n"
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+}

bin/chunk-0btqbmh3.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-0jj5ej8a.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
+  ],
+  "mappings": "",
+  "debugId": "DB6DE72E3F0F791B64756E2164756E21",
+  "names": []
+}

bin/chunk-1885m26c.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/route/auth-options.ts"],
+  "sourcesContent": [
+    "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth.js\"\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.js\"\n"
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bin/chunk-1sa1w9n0.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-2fsn0c2y.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/google-images.ts", "../ai/src/providers/google.ts"],
+  "sourcesContent": [
+    "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.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n  type ProviderMetadata,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\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.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { GoogleImages } from \"../protocols/google-images.js\"\n\nexport type { GoogleImageOptions } from \"../protocols/google-images.js\"\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    providerOptions: settings.providerOptions,\n  }).model(modelID)\n\nexport const image = provider.image\n"
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+  "debugId": "1E36777414EBFFAD64756E2164756E21",
+  "names": []
+}

bin/chunk-3433hcxy.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/openai-image.ts", "../ai/src/protocols/open-responses-channel.ts", "../ai/src/protocols/openai-responses-channel.ts", "../ai/src/protocols/openai-responses.ts"],
+  "sourcesContent": [
+    "import { Schema } from \"effect\"\n\nconst dimensions = (value: string) => {\n  const match = /^(\\d+)x(\\d+)$/.exec(value)\n  if (!match) return undefined\n  return { width: Number(match[1]), height: Number(match[2]) }\n}\n\nexport const Size = Schema.String.check(\n  Schema.makeFilter((value) => {\n    if (value === \"auto\") return undefined\n    const parsed = dimensions(value)\n    if (!parsed) return \"image size must be `auto` or `{width}x{height}`\"\n    return parsed.width > 0 && parsed.height > 0 ? undefined : \"image dimensions must be positive integers\"\n  }),\n)\n\nexport const OpenAIImage = {\n  Size,\n} as const\n",
+    "import { Effect, Schema, Stream } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Framing } from \"../route/framing.js\"\nimport {\n  HttpTransport,\n  WebSocketTransport,\n  type Transport,\n  type WebSocketChannelDriver,\n  type WebSocketChannelExchange,\n} from \"../route/transport/index.js\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst WebSocketResponseCreate = Schema.StructWithRest(Schema.Struct({ type: Schema.tag(\"response.create\") }), [\n  Schema.Record(Schema.String, Schema.Unknown),\n])\nconst decodeMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(WebSocketResponseCreate))\nconst encodeMessage = Schema.encodeSync(Schema.fromJsonString(WebSocketResponseCreate))\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\nexport interface Options {\n  readonly id: string\n  readonly name: string\n  readonly rotateAfterMs?: number\n  readonly headers?: (headers: Headers.Headers) => Headers.Headers\n  readonly driver?: (input: {\n    readonly request: Readonly<Record<string, unknown>>\n    readonly message: string\n    readonly base: WebSocketChannelDriver\n  }) => WebSocketChannelDriver\n}\n\nexport interface Prepared {\n  readonly http: HttpTransport.HttpPrepared<string>\n  readonly channel?: {\n    readonly url: string\n    readonly headers: Headers.Headers\n    readonly rotateAfterMs?: number\n    readonly driver: WebSocketChannelDriver\n  }\n}\n\nconst message = (body: unknown) =>\n  Effect.gen(function* () {\n    if (!ProviderShared.isRecord(body))\n      return yield* ProviderShared.invalidRequest(\"Open Responses WebSocket body must be a JSON object\")\n    const { stream: _stream, stream_options: _streamOptions, background: _background, ...request } = body\n    const decoded = yield* decodeMessage({ ...request, type: \"response.create\" })\n    return { request: decoded, message: encodeMessage(decoded) }\n  })\n\nconst driver = (options: Options, body: string): WebSocketChannelDriver => {\n  let responseID: string | undefined\n  let terminal = false\n  return {\n    create: () =>\n      Effect.sync(() => {\n        responseID = undefined\n        terminal = false\n        return { message: body, mode: \"full\" }\n      }),\n    observe: (_create, frame) =>\n      Effect.gen(function* () {\n        const event = yield* decodeEvent(frame).pipe(\n          Effect.mapError(() =>\n            ProviderShared.eventError(options.id, `Invalid ${options.name} WebSocket event`, frame),\n          ),\n        )\n        if (terminal)\n          return yield* ProviderShared.eventError(\n            options.id,\n            `${options.name} emitted ${event.type} after a terminal event`,\n            frame,\n          )\n        if (event.type === \"error\") {\n          terminal = true\n          yield* OpenResponses.decodeKnownErrorEvent(event).pipe(\n            Effect.mapError(() =>\n              ProviderShared.eventError(options.id, `${options.name} returned a malformed error event`, frame),\n            ),\n          )\n          return {\n            type: \"provider-failure\",\n            error: OpenResponses.providerFailure(options.id, event, `${options.name} stream error`),\n          }\n        }\n        if (event.type === \"response.failed\") {\n          terminal = true\n          if (responseID && event.response?.id && event.response.id !== responseID)\n            return yield* ProviderShared.eventError(\n              options.id,\n              `${options.name} response ID changed during execution`,\n              frame,\n            )\n          return {\n            type: \"provider-failure\",\n            error: OpenResponses.providerFailure(options.id, event, `${options.name} response failed`),\n          }\n        }\n        if (event.type === \"response.created\") {\n          const created = event.response?.id\n          if (responseID)\n            return yield* ProviderShared.eventError(\n              options.id,\n              `${options.name} emitted duplicate response.created`,\n              frame,\n            )\n          if (!created)\n            return yield* ProviderShared.eventError(\n              options.id,\n              `${options.name} response.created is missing response.id`,\n              frame,\n            )\n          responseID = created\n          return { type: \"frame\", frame }\n        }\n        if (!responseID)\n          return yield* ProviderShared.eventError(\n            options.id,\n            `${options.name} emitted ${event.type} before response.created`,\n            frame,\n          )\n        if (event.response?.id && event.response.id !== responseID)\n          return yield* ProviderShared.eventError(\n            options.id,\n            `${options.name} response ID changed during execution`,\n            frame,\n          )\n        if (event.type === \"response.completed\") {\n          terminal = true\n          return { type: \"completed\", frame }\n        }\n        if (event.type === \"response.incomplete\") {\n          terminal = true\n          return { type: \"incomplete\", frame }\n        }\n        return { type: \"frame\", frame }\n      }),\n  }\n}\n\nexport const transport = <Body>(options: Options): Transport<Body, Prepared, string> => {\n  const http = HttpTransport.sseJson.with<Body>()\n  return {\n    id: http.id,\n    prepare: (input) =>\n      Effect.gen(function* () {\n        const parts = yield* HttpTransport.jsonRequestParts(input)\n        const headers = Headers.remove(options.headers?.(parts.headers) ?? parts.headers, \"content-length\")\n        const channel = input.webSocket\n          ? yield* Effect.gen(function* () {\n              const create = yield* message(parts.jsonBody)\n              const base = driver(options, create.message)\n              return {\n                url: yield* WebSocketTransport.toWebSocketUrl(parts.url),\n                headers,\n                rotateAfterMs: options.rotateAfterMs,\n                driver: options.driver?.({ request: create.request, message: create.message, base }) ?? base,\n              }\n            })\n          : undefined\n        return {\n          http: {\n            request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),\n            framing: Framing.sse,\n            middleware: input.middleware,\n          },\n          channel,\n        }\n      }),\n    execute: (prepared, request, runtime, executeOptions) => {\n      if (!executeOptions?.webSocket || !prepared.channel) return http.execute(prepared.http, request, runtime)\n      const exchange: WebSocketChannelExchange = {\n        id: request.id ?? \"request\",\n        connect: {\n          url: prepared.channel.url,\n          headers: prepared.channel.headers,\n          rotateAfterMs: prepared.channel.rotateAfterMs,\n        },\n        fallback: () =>\n          Stream.unwrap(\n            http.execute(prepared.http, request, runtime).pipe(Effect.map((execution) => execution.frames)),\n          ),\n        driver: prepared.channel.driver,\n      }\n      return executeOptions.webSocket.execute(exchange)\n    },\n  }\n}\n\nexport const OpenResponsesChannel = { transport } as const\n",
+    "import { AIError, TransportReason } from \"../schema/index.js\"\nimport type { ChannelCheckpoint, ChannelObservation, WebSocketChannelDriver } from \"../route/transport/index.js\"\nimport { Effect, Option, Schema } from \"effect\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst PROTOCOL = \"openai-responses.websocket.v1\"\nconst VERSION = 1\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\ninterface CheckpointValue {\n  readonly version: typeof VERSION\n  readonly responseID: string\n  readonly request: Readonly<Record<string, unknown>>\n  readonly output: ReadonlyArray<unknown>\n}\n\nexport interface DriverInput {\n  readonly id: string\n  readonly name: string\n  readonly request: Readonly<Record<string, unknown>>\n  readonly message: string\n  readonly base: WebSocketChannelDriver\n}\n\nconst checkpointValue = (checkpoint: ChannelCheckpoint | undefined): CheckpointValue | undefined => {\n  if (checkpoint?.protocol !== PROTOCOL || !ProviderShared.isRecord(checkpoint.value)) return undefined\n  if (checkpoint.value.version !== VERSION) return undefined\n  if (typeof checkpoint.value.responseID !== \"string\" || checkpoint.value.responseID.trim().length === 0)\n    return undefined\n  if (!ProviderShared.isRecord(checkpoint.value.request) || !Array.isArray(checkpoint.value.output)) return undefined\n  return {\n    version: VERSION,\n    responseID: checkpoint.value.responseID,\n    request: checkpoint.value.request,\n    output: checkpoint.value.output,\n  }\n}\n\nconst canonical = (value: unknown): string => {\n  if (value === undefined) return \"undefined\"\n  if (Array.isArray(value)) return `[${value.map(canonical).join(\",\")}]`\n  if (!ProviderShared.isRecord(value)) return ProviderShared.encodeJson(value)\n  return `{${Object.keys(value)\n    .sort()\n    .map((key) => `${ProviderShared.encodeJson(key)}:${canonical(value[key])}`)\n    .join(\",\")}}`\n}\n\nconst json = (value: unknown) => {\n  if (typeof value !== \"string\") return value\n  return Option.getOrElse(Schema.decodeUnknownOption(ProviderShared.Json)(value), () => value)\n}\n\nconst comparable = (value: unknown) => {\n  if (!ProviderShared.isRecord(value)) return value\n  if (value.type === \"message\" && value.role === \"assistant\")\n    return {\n      role: \"assistant\",\n      content: value.content,\n      ...(value.phase === undefined ? {} : { phase: value.phase }),\n    }\n  if (value.type === \"function_call\")\n    return {\n      type: value.type,\n      call_id: value.call_id,\n      name: value.name,\n      arguments: json(value.arguments),\n    }\n  if (value.type === \"reasoning\")\n    return {\n      type: value.type,\n      summary: value.summary,\n      encrypted_content: value.encrypted_content,\n    }\n  return value\n}\n\nconst invariant = (request: Readonly<Record<string, unknown>>) => {\n  const { type: _type, input: _input, previous_response_id: _previousResponseID, ...rest } = request\n  return rest\n}\n\nconst incremental = (\n  request: Readonly<Record<string, unknown>>,\n  checkpoint: CheckpointValue,\n): ReadonlyArray<unknown> | undefined => {\n  const input = request.input\n  const previousInput = checkpoint.request.input\n  if (!Array.isArray(input) || !Array.isArray(previousInput)) return undefined\n  if (canonical(invariant(request)) !== canonical(invariant(checkpoint.request))) return undefined\n  const baseline = [...previousInput, ...checkpoint.output]\n  if (input.length <= baseline.length) return undefined\n  if (!baseline.every((item, index) => canonical(comparable(item)) === canonical(comparable(input[index]))))\n    return undefined\n  return input.slice(baseline.length)\n}\n\nconst code = (event: OpenResponses.Event) => event.code || event.error?.code || event.response?.error?.code || undefined\n\nconst rejected = (\n  input: DriverInput,\n  observation: Extract<ChannelObservation, { readonly type: \"provider-failure\" }>,\n  recovery: \"retry-full\" | \"rotate-and-retry-full\",\n): ChannelObservation => ({\n  type: \"rejected\",\n  recovery,\n  error: new AIError({\n    module: input.id,\n    method: \"stream\",\n    reason: new TransportReason({\n      message: observation.error.message,\n      transport: \"websocket\",\n      operation: \"read\",\n      phase: \"receive\",\n      delivery: \"rejected\",\n      recovery,\n    }),\n  }),\n})\n\nexport const driver = (input: DriverInput): WebSocketChannelDriver => {\n  const { previous_response_id: _previousResponseID, ...request } = input.request\n  let output: unknown[] = []\n  return {\n    create: (checkpoint) =>\n      Effect.sync(() => {\n        output = []\n        const previous = checkpointValue(checkpoint)\n        const delta = previous ? incremental(request, previous) : undefined\n        if (!previous || !delta) return { message: ProviderShared.encodeJson(request), mode: \"full\" as const }\n        return {\n          message: ProviderShared.encodeJson({ ...request, input: delta, previous_response_id: previous.responseID }),\n          mode: \"incremental\" as const,\n        }\n      }),\n    observe: (create, frame) =>\n      Effect.gen(function* () {\n        const event = yield* decodeEvent(frame).pipe(\n          Effect.mapError(() => ProviderShared.eventError(input.id, `Invalid ${input.name} WebSocket event`, frame)),\n        )\n        const observation = yield* input.base.observe(create, frame)\n        if (event.type === \"response.output_item.done\" && event.item) output.push(event.item)\n        if (observation.type === \"provider-failure\") {\n          const rejection = code(event)\n          if (rejection === \"previous_response_not_found\") return rejected(input, observation, \"retry-full\")\n          if (rejection === \"websocket_connection_limit_reached\")\n            return rejected(input, observation, \"rotate-and-retry-full\")\n        }\n        if (observation.type !== \"completed\") return observation\n        const responseID = event.response?.id\n        if (!responseID || responseID.trim().length === 0) return observation\n        return {\n          ...observation,\n          checkpoint: {\n            protocol: PROTOCOL,\n            value: { version: VERSION, responseID, request, output: output.slice() } satisfies CheckpointValue,\n          },\n        }\n      }),\n  }\n}\n\nexport const OpenAIResponsesChannel = { driver } as const\n",
+    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { LLMEvent, LLMRequest, type JsonSchema, type ToolDefinition } from \"../schema/index.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { optionalArray, ProviderShared } from \"./shared.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { OpenResponsesChannel } from \"./open-responses-channel.js\"\nimport { OpenAIResponsesChannel } from \"./openai-responses-channel.js\"\n\nconst ADAPTER = \"openai-responses\"\nconst NAME = \"OpenAI Responses\"\nconst WEBSOCKET_PROTOCOL_HEADER = \"responses_websockets=2026-02-06\"\nconst WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = OpenResponses.PATH\n\nconst OpenAIResponsesImageGenerationTool = Schema.Struct({\n  type: Schema.tag(\"image_generation\"),\n  action: Schema.optional(Schema.Literals([\"auto\", \"generate\", \"edit\"])),\n  background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n  input_fidelity: Schema.optional(Schema.Literals([\"low\", \"high\"])),\n  output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n  output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n  partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),\n  quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n  size: Schema.optional(OpenAIImage.Size),\n})\n\nconst OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool])\n\nconst OpenAIResponsesToolChoice = Schema.Union([\n  OpenResponses.ToolChoice,\n  Schema.Struct({ type: Schema.tag(\"image_generation\") }),\n])\n\nconst OpenAIResponsesInputItem = Schema.Union([\n  Schema.Struct({\n    type: Schema.tag(\"message\"),\n    id: Schema.optionalKey(Schema.String),\n    role: Schema.tag(\"assistant\"),\n    content: Schema.Array(Schema.Struct({ type: Schema.tag(\"output_text\"), text: Schema.String })),\n    phase: Schema.optionalKey(Schema.NullOr(OpenResponses.MessagePhase)),\n  }),\n  OpenResponses.InputItem,\n])\n\nconst OpenAIResponsesCoreFields = {\n  ...OpenResponses.coreFields,\n  input: Schema.Array(OpenAIResponsesInputItem),\n  tools: optionalArray(OpenAIResponsesTools),\n  tool_choice: Schema.optional(OpenAIResponsesToolChoice),\n}\n\nconst OpenAIResponsesBody = Schema.Struct({\n  ...OpenAIResponsesCoreFields,\n  stream: Schema.Literal(true),\n})\nexport type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>\n\nconst extension = {\n  id: ADAPTER,\n  name: NAME,\n  messagePhase: (value: unknown) => (value === null ? null : undefined),\n  lowerMedia: ({ part, media, request }) => {\n    if (request.model.provider !== \"xai\" || media.mime !== \"application/pdf\") return undefined\n    return {\n      type: \"input_file\",\n      filename: part.filename ?? \"document.pdf\",\n      file_data: media.base64,\n      mime_type: media.mime,\n    }\n  },\n} satisfies OpenResponses.Extension\n\nconst nativeImageToolInput = (tool: ToolDefinition) => {\n  const native = tool.native?.openai\n  return ProviderShared.isRecord(native) && native.type === \"image_generation\" ? native : undefined\n}\n\nconst nativeImageTool = (tool: ToolDefinition) => {\n  const native = nativeImageToolInput(tool)\n  return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined\n}\n\nconst lowerTool = Effect.fn(\"OpenAIResponses.lowerTool\")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {\n  const native = nativeImageToolInput(tool)\n  if (native !== undefined) {\n    if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native\n    return yield* ProviderShared.invalidRequest(\"OpenAI Responses image generation tool options are invalid\")\n  }\n  return yield* OpenResponses.lowerTool(NAME, tool, inputSchema)\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>, tools: ReadonlyArray<ToolDefinition>) =>\n  ProviderShared.matchToolChoice(NAME, toolChoice, {\n    auto: () => \"auto\" as const,\n    none: () => \"none\" as const,\n    required: () => \"required\" as const,\n    tool: (name) =>\n      tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)\n        ? ({ type: \"image_generation\" } as const)\n        : { type: \"function\" as const, name },\n  })\n\nconst fromRequest = Effect.fn(\"OpenAIResponses.fromRequest\")(function* (request: LLMRequest) {\n  const body = yield* OpenResponses.fromRequestWithExtension(\n    LLMRequest.update(request, { tools: [], toolChoice: undefined }),\n    extension,\n  )\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  return {\n    ...body,\n    tools:\n      request.tools.length === 0\n        ? undefined\n        : yield* Effect.forEach(request.tools, (tool) =>\n            lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n          ),\n    tool_choice:\n      body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined),\n  } satisfies OpenAIResponsesBody\n})\n\ntype HostedToolData = OpenResponses.StreamItem & {\n  readonly id: string\n  readonly status?: string\n  readonly action?: unknown\n  readonly queries?: unknown\n  readonly results?: unknown\n  readonly code?: string\n  readonly container_id?: string\n  readonly outputs?: unknown\n  readonly server_label?: string\n  readonly output?: unknown\n  readonly result?: string\n  readonly output_format?: \"png\" | \"jpeg\" | \"webp\"\n  readonly error?: unknown\n}\n\nconst HOSTED_TOOLS = {\n  web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n  web_search_preview_call: { name: \"web_search_preview\", input: (item) => item.action ?? {} },\n  file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n  code_interpreter_call: {\n    name: \"code_interpreter\",\n    input: (item) => ({ code: item.code, container_id: item.container_id }),\n  },\n  computer_use_call: { name: \"computer_use\", input: (item) => item.action ?? {} },\n  image_generation_call: { name: \"image_generation\", input: () => ({}) },\n  mcp_call: {\n    name: \"mcp\",\n    input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n  },\n  local_shell_call: { name: \"local_shell\", input: (item) => item.action ?? {} },\n} as const satisfies Record<string, { readonly name: string; readonly input: (item: HostedToolData) => unknown }>\n\ntype HostedToolType = keyof typeof HOSTED_TOOLS\ntype HostedToolItem = HostedToolData & { readonly type: HostedToolType }\n\nconst isHostedToolItem = (item: OpenResponses.StreamItem): item is HostedToolItem =>\n  item.type in HOSTED_TOOLS && typeof item.id === \"string\" && item.id.length > 0\n\nconst hostedToolResult = Effect.fn(\"OpenAIResponses.hostedToolResult\")(function* (item: HostedToolItem) {\n  const isError = item.error !== undefined && item.error !== null\n  if (item.type === \"image_generation_call\" && item.result) {\n    yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(\n      Effect.mapError(() => ProviderShared.eventError(ADAPTER, \"OpenAI Responses returned invalid image base64\")),\n    )\n    const format = item.output_format ?? \"png\"\n    return {\n      type: \"content\" as const,\n      value: [\n        {\n          type: \"file\" as const,\n          uri: `data:image/${format};base64,${item.result}`,\n          mime: `image/${format}`,\n        },\n      ],\n    }\n  }\n  return isError ? { type: \"error\" as const, value: item.error } : { type: \"json\" as const, value: item }\n})\n\nconst onHostedToolDone = Effect.fn(\"OpenAIResponses.onHostedToolDone\")(function* (\n  state: OpenResponses.ParserState,\n  item: HostedToolItem,\n) {\n  const tool = HOSTED_TOOLS[item.type]\n  const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })\n  const events: LLMEvent[] = []\n  const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n  events.push(\n    LLMEvent.toolCall({\n      id: item.id,\n      name: tool.name,\n      input: tool.input(item),\n      providerExecuted: true,\n      providerMetadata,\n    }),\n    LLMEvent.toolResult({\n      id: item.id,\n      name: tool.name,\n      result: yield* hostedToolResult(item),\n      providerExecuted: true,\n      providerMetadata,\n    }),\n  )\n  return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult\n})\n\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n  if (event.type === \"response.reasoning_text.delta\" || event.type === \"response.reasoning_summary.delta\")\n    return event.item_id\n      ? Effect.succeed(OpenResponses.onReasoningDelta(state, event, event.item_id))\n      : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n  if (event.type === \"response.reasoning_text.done\" || event.type === \"response.reasoning_summary.done\")\n    return event.item_id\n      ? Effect.succeed(OpenResponses.onReasoningDone(state, event))\n      : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n  if (event.type === \"response.output_item.done\" && event.item && isHostedToolItem(event.item))\n    return onHostedToolDone(state, event.item)\n  return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: OpenAIResponsesBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: OpenResponses.protocol.stream.event,\n    initial: (request) => OpenResponses.initial(request, extension),\n    step,\n    terminal: OpenResponses.terminal,\n  },\n})\n\nconst endpoint = Endpoint.path<OpenAIResponsesBody>(PATH, { baseURL: DEFAULT_BASE_URL })\nconst auth = Auth.none\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIResponsesBody>()\nexport const transport = OpenResponsesChannel.transport<OpenAIResponsesBody>({\n  id: ADAPTER,\n  name: NAME,\n  rotateAfterMs: WEBSOCKET_ROTATE_AFTER_MS,\n  headers: (headers) => Headers.set(headers, \"openai-beta\", headers[\"openai-beta\"] ?? WEBSOCKET_PROTOCOL_HEADER),\n  driver: (input) => OpenAIResponsesChannel.driver({ id: ADAPTER, name: NAME, ...input }),\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"openai\",\n  providerMetadataKey: \"openai\",\n  protocol,\n  endpoint,\n  auth,\n  transport,\n  defaults: { providerOptions: { store: false } },\n})\n\nexport * as OpenAIResponses from \"./openai-responses.js\"\n"
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+  "debugId": "4408C1D54943919F64756E2164756E21",
+  "names": []
+}

bin/chunk-44y8p8r3.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/auth/form.ts", "src/commands/handlers/auth/login.ts"],
+  "sourcesContent": [
+    "import { confirm, log, multiselect, password, select, text, type Option } from \"@clack/prompts\"\nimport { Effect } from \"effect\"\nimport type { FormAnswer, FormField, FormFields } from \"@opencode-ai/client\"\nimport { openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\n\nconst skip = Symbol(\"skip\")\nconst custom = Symbol(\"custom\")\n\nexport const answerForm = Effect.fn(\"cli.auth.form\")(function* (fields: FormFields | undefined) {\n  if (!fields) return undefined\n  yield* requireInteractive(\"Authentication form input requires an interactive terminal\")\n  const answer: FormAnswer = {}\n  for (const field of fields) {\n    if (!active(field, answer)) continue\n    const value = yield* answerField(field)\n    if (value !== undefined) answer[field.key] = value\n  }\n  return answer\n})\n\nexport const secret = Effect.fn(\"cli.auth.secret\")(function* (message: string) {\n  yield* requireInteractive(\"API key input requires an interactive terminal\")\n  return yield* prompt<string>(() => password({ message, validate: (value) => (!value ? \"Required\" : undefined) }))\n})\n\nconst answerField = Effect.fn(\"cli.auth.form.field\")(function* (field: FormField) {\n  const message = field.title ?? field.key\n  if (field.description) log.info(field.description)\n  if (field.type === \"external\") {\n    log.info(field.url)\n    yield* openUrl(field.url)\n    const acknowledged = yield* prompt<boolean>(() =>\n      confirm({ message: message || \"Continue after completing this step?\", initialValue: true }),\n    )\n    if (!acknowledged) return yield* Effect.fail(new Error(`${message || \"External step\"} is required`))\n    return true\n  }\n  if (field.type === \"boolean\") {\n    if (field.required) return yield* prompt<boolean>(() => confirm({ message, initialValue: field.default ?? true }))\n    const options: Array<Option<boolean | typeof skip>> = [\n      { value: true, label: \"Yes\" },\n      { value: false, label: \"No\" },\n      { value: skip, label: \"Skip\" },\n    ]\n    const value = yield* prompt<boolean | typeof skip>(() =>\n      select<boolean | typeof skip>({\n        message,\n        options,\n        initialValue: field.default ?? skip,\n      }),\n    )\n    if (value === skip) return undefined\n    return value\n  }\n  if (field.type === \"multiselect\") {\n    const options: Array<Option<string | typeof custom>> = field.options.map((option) => ({\n      value: option.value,\n      label: option.label,\n      hint: option.description,\n    }))\n    if (field.custom) options.push({ value: custom, label: \"Type another value\" })\n    const values = yield* prompt<Array<string | typeof custom>>(() =>\n      multiselect<string | typeof custom>({\n        message,\n        options,\n        initialValues: field.default,\n        required: field.required || (field.minItems ?? 0) > 0,\n      }),\n    )\n    const selected = values.filter((value): value is string => value !== custom)\n    if (values.includes(custom)) {\n      selected.push(yield* prompt<string>(() => text({ message: \"Enter value\", validate: required })))\n    }\n    if (field.minItems !== undefined && selected.length < field.minItems) {\n      return yield* Effect.fail(new Error(`Select at least ${field.minItems}`))\n    }\n    if (field.maxItems !== undefined && selected.length > field.maxItems) {\n      return yield* Effect.fail(new Error(`Select at most ${field.maxItems}`))\n    }\n    return selected\n  }\n  if (field.type === \"string\" && field.options) {\n    const options: Array<Option<string | typeof custom | typeof skip>> = field.options.map((option) => ({\n      value: option.value,\n      label: option.label,\n      hint: option.description,\n    }))\n    if (field.custom) options.push({ value: custom, label: \"Type your own answer\" })\n    if (!field.required) options.push({ value: skip, label: \"Skip\" })\n    const value = yield* prompt<string | typeof custom | typeof skip>(() =>\n      select<string | typeof custom | typeof skip>({ message, options, initialValue: field.default }),\n    )\n    if (value === skip) return undefined\n    if (value !== custom) return value\n  }\n  const value = yield* prompt<string>(() =>\n    text({\n      message,\n      placeholder: field.type === \"string\" ? field.placeholder : undefined,\n      initialValue: field.default === undefined ? undefined : String(field.default),\n      validate: (input) => validateText(field, input),\n    }),\n  )\n  if (!value && !field.required) return undefined\n  if (field.type === \"string\") return value\n  return Number(value)\n})\n\nfunction active(field: FormField, answer: FormAnswer) {\n  if (field.type === \"external\" || !field.when) return true\n  return field.when.every((condition) => {\n    const value = answer[condition.key]\n    if (value === undefined) return false\n    const matches = Array.isArray(value) ? value.includes(String(condition.value)) : value === condition.value\n    return condition.op === \"eq\" ? matches : !matches\n  })\n}\n\nfunction required(value: string | undefined) {\n  return value ? undefined : \"Required\"\n}\n\nfunction validateText(field: Exclude<FormField, { type: \"boolean\" | \"external\" | \"multiselect\" }>, value?: string) {\n  if (!value) return field.required ? \"Required\" : undefined\n  if (field.type === \"number\" || field.type === \"integer\") {\n    const number = Number(value)\n    if (!Number.isFinite(number)) return \"Expected a number\"\n    if (field.type === \"integer\" && !Number.isInteger(number)) return \"Expected an integer\"\n    if (typeof field.minimum === \"number\" && number < field.minimum) return `Must be at least ${field.minimum}`\n    if (typeof field.maximum === \"number\" && number > field.maximum) return `Must be at most ${field.maximum}`\n    return undefined\n  }\n  if (field.minLength !== undefined && value.length < field.minLength)\n    return `Must be at least ${field.minLength} characters`\n  if (field.maxLength !== undefined && value.length > field.maxLength)\n    return `Must be at most ${field.maxLength} characters`\n  if (field.pattern) {\n    try {\n      if (!new RegExp(field.pattern).test(value)) return \"Invalid format\"\n    } catch {\n      return \"Invalid format\"\n    }\n  }\n  if (field.format === \"uri\" && !URL.canParse(value)) return \"Expected a URL\"\n  if (field.format === \"email\" && !/^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(value)) return \"Expected an email address\"\n  if (field.format === \"date\") {\n    if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(value)) return \"Expected a date\"\n    const date = new Date(`${value}T00:00:00.000Z`)\n    if (Number.isNaN(date.getTime()) || date.toISOString().slice(0, 10) !== value) return \"Expected a date\"\n  }\n  if (field.format === \"date-time\" && Number.isNaN(Date.parse(value))) return \"Expected a date and time\"\n  return undefined\n}\n",
+    "import { autocomplete, intro, log, outro, select, spinner, text } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { FormAnswer, IntegrationInfo, OpenCodeClient } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { answerForm, secret } from \"./form\"\nimport {\n  createClient,\n  connectMethods,\n  loadIntegrations,\n  location,\n  request,\n  resolveIntegration,\n  resolveMethod,\n  type ConnectMethod,\n} from \"./shared\"\n\nconst integrationPriority = new Map([\n  [\"opencode\", 0],\n  [\"opencode-go\", 1],\n  [\"openai\", 2],\n  [\"github-copilot\", 3],\n  [\"google\", 4],\n  [\"anthropic\", 5],\n  [\"openrouter\", 6],\n  [\"vercel\", 7],\n])\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.login,\n  Effect.fn(\"cli.auth.login\")((input) =>\n    login({\n      target: Option.getOrUndefined(input.target),\n      method: Option.getOrUndefined(input.method),\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    }).pipe(handlePromptErrors),\n  ),\n)\n\nconst login = Effect.fn(\"cli.auth.login.run\")(function* (input: {\n  target?: string\n  method?: string\n  server?: string\n  standalone: boolean\n}) {\n  if (!input.target)\n    yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n  intro(\"Connect an integration\")\n  const client = yield* createClient({ server: input.server, standalone: input.standalone })\n  const integration = yield* findIntegration(client, input.target)\n  const methods = connectMethods(integration)\n  if (methods.length === 0) yield* Effect.fail(new Error(`${integration.name} has no interactive login methods`))\n  const method = yield* chooseMethod(methods, input.method)\n  const answer = method.type === \"command\" ? undefined : yield* answerForm(method.form)\n  yield* authenticate(client, integration, method, answer)\n  outro(\"Done\")\n})\n\nconst findIntegration = Effect.fn(\"cli.auth.login.integration\")(function* (client: OpenCodeClient, target?: string) {\n  if (target && URL.canParse(target)) {\n    const protocol = new URL(target).protocol\n    if (protocol === \"http:\" || protocol === \"https:\") {\n      const progress = spinner()\n      progress.start(\"Discovering authentication provider...\")\n      yield* request((signal) => client.integration.wellknown.add({ url: target, location }, { signal })).pipe(\n        Effect.tap(() => Effect.sync(() => progress.stop(\"Authentication provider discovered\"))),\n        Effect.tapCause(() => Effect.sync(() => progress.stop(\"Discovery failed\", 1))),\n      )\n    }\n  }\n  const integrations = yield* loadIntegrations(client)\n  if (target) return yield* resolveIntegration(integrations, target)\n  const available = integrations\n    .filter((integration) => connectMethods(integration).length > 0)\n    .toSorted(\n      (a, b) =>\n        (integrationPriority.get(a.id) ?? integrationPriority.size) -\n          (integrationPriority.get(b.id) ?? integrationPriority.size) ||\n        a.name.localeCompare(b.name) ||\n        a.id.localeCompare(b.id),\n    )\n  if (available.length === 0) return yield* Effect.fail(new Error(\"No authentication integrations are available\"))\n  const id = yield* prompt<string>(() =>\n    autocomplete({\n      message: \"Select integration\",\n      maxItems: 8,\n      options: available.map((integration) => {\n        const option = { value: integration.id, label: integration.name, hint: integration.id }\n        if (integration.connections.length > 0) return { ...option, hint: \"connected\" }\n        if (integration.id === \"opencode\") return { ...option, hint: \"recommended\" }\n        return option\n      }),\n    }),\n  )\n  return yield* resolveIntegration(available, id)\n})\n\nconst chooseMethod = Effect.fn(\"cli.auth.login.method\")(function* (methods: ConnectMethod[], target?: string) {\n  if (target) return yield* resolveMethod(methods, target)\n  if (methods.length === 1) return methods[0]\n  yield* requireInteractive(\"Pass --method when running without an interactive terminal\")\n  const id = yield* prompt<string>(() =>\n    select({\n      message: \"Select login method\",\n      options: methods.map((method) => {\n        if (method.type === \"key\") return { value: \"key\", label: method.label ?? \"API key\" }\n        return { value: method.id, label: method.label }\n      }),\n    }),\n  )\n  return yield* resolveMethod(methods, id)\n})\n\nconst authenticate = Effect.fn(\"cli.auth.login.authenticate\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: ConnectMethod,\n  answer?: FormAnswer,\n) {\n  if (method.type === \"key\") return yield* keyLogin(client, integration, method, answer)\n  if (method.type === \"command\") return yield* commandLogin(client, integration, method)\n  return yield* oauthLogin(client, integration, method, answer)\n})\n\nconst keyLogin = Effect.fn(\"cli.auth.login.key\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: Extract<ConnectMethod, { type: \"key\" }>,\n  answer?: FormAnswer,\n) {\n  const key = yield* secret(method.label ?? `Enter your ${integration.name} API key`)\n  const progress = spinner()\n  progress.start(\"Saving credential...\")\n  yield* request((signal) =>\n    client.integration.connect.key({ integrationID: integration.id, key, answer, location }, { signal }),\n  ).pipe(\n    Effect.tap(() => Effect.sync(() => progress.stop(`Connected to ${integration.name}`))),\n    Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))),\n  )\n})\n\nconst oauthLogin = Effect.fn(\"cli.auth.login.oauth\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: Extract<ConnectMethod, { type: \"oauth\" }>,\n  answer?: FormAnswer,\n) {\n  const progress = spinner()\n  progress.start(\"Starting authorization...\")\n  const started = yield* request((signal) =>\n    client.integration.oauth.connect(\n      { integrationID: integration.id, methodID: method.id, answer, location },\n      { signal },\n    ),\n  ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n  const attempt = started.data\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.oauth.cancel(\n        { integrationID: integration.id, attemptID: attempt.attemptID, location },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  progress.stop(\"Authorization started\")\n  log.info(attempt.instructions)\n  log.info(attempt.url)\n  if (process.stdin.isTTY && process.stdout.isTTY) yield* openUrl(attempt.url)\n\n  if (attempt.mode === \"code\") {\n    yield* requireInteractive(\"This login requires an interactive terminal to enter the authorization code\")\n    const code = yield* prompt<string>(() =>\n      text({ message: \"Paste the authorization code\", validate: (value) => (!value ? \"Required\" : undefined) }),\n    )\n    const completing = spinner()\n    completing.start(\"Completing authorization...\")\n    yield* request((signal) =>\n      client.integration.oauth.complete(\n        { integrationID: integration.id, attemptID: attempt.attemptID, code, location },\n        { signal },\n      ),\n    ).pipe(\n      Effect.tap(() => Effect.sync(() => completing.stop(`Connected to ${integration.name}`))),\n      Effect.tapCause(() => Effect.sync(() => completing.stop(\"Authentication failed\", 1))),\n    )\n    return\n  }\n\n  const waiting = spinner()\n  waiting.start(\"Waiting for authorization...\")\n  const status = yield* waitForOAuth(client, integration.id, attempt.attemptID).pipe(\n    Effect.tapCause(() => Effect.sync(() => waiting.stop(\"Authentication failed\", 1))),\n  )\n  if (status.status === \"complete\") {\n    waiting.stop(`Connected to ${integration.name}`)\n    return\n  }\n  waiting.stop(\"Authentication failed\", 1)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  yield* Effect.fail(new Error(\"Authorization expired\"))\n})\n\nconst commandLogin = Effect.fn(\"cli.auth.login.command\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: Extract<ConnectMethod, { type: \"command\" }>,\n) {\n  const progress = spinner()\n  progress.start(\"Starting authentication command...\")\n  const started = yield* request((signal) =>\n    client.integration.command.connect({ integrationID: integration.id, methodID: method.id, location }, { signal }),\n  ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.command.cancel(\n        {\n          integrationID: integration.id,\n          attemptID: started.data.attemptID,\n          location,\n        },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  const status = yield* waitForCommand(client, integration.id, started.data.attemptID, (message) =>\n    progress.message(message.trim() || \"Waiting for authentication command...\"),\n  ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n  if (status.status === \"complete\") {\n    progress.stop(`Connected to ${integration.name}`)\n    return\n  }\n  progress.stop(\"Authentication failed\", 1)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  yield* Effect.fail(new Error(\"Authentication expired\"))\n})\n\nconst waitForOAuth = Effect.fn(\"cli.auth.login.oauth.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\nconst waitForCommand = Effect.fn(\"cli.auth.login.command.wait\")(function* (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n  update: (message: string) => void,\n) {\n  while (true) {\n    const response = yield* request((signal) =>\n      client.integration.command.status({ integrationID, attemptID, location }, { signal }),\n    )\n    if (response.data.status !== \"pending\") return response.data\n    if (response.data.message) update(response.data.message)\n    yield* Effect.sleep(500)\n  }\n})\n"
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+  "debugId": "8D328E6E7EC08CCE64756E2164756E21",
+  "names": []
+}

bin/chunk-597pttnt.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/azure.ts"],
+  "sourcesContent": [
+    "import { Auth } from \"../route/auth.js\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\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 useDeploymentBasedUrls?: 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 useDeploymentBasedUrls?: boolean\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai`\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"azure-openai-responses\",\n  provider: id,\n  auth: routeAuth,\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"azure-openai-chat\",\n  provider: id,\n  auth: routeAuth,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n  const {\n    apiKey: _,\n    apiVersion: _apiVersion,\n    resourceName: _resourceName,\n    useDeploymentBasedUrls: _useDeploymentBasedUrls,\n    baseURL: _baseURL,\n    queryParams: _queryParams,\n    ...rest\n  } = input\n  if (\"auth\" in rest) {\n    const { auth: _, ...withoutAuth } = rest\n    return withoutAuth\n  }\n  return rest\n}\n\nconst auth = (input: Config) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.remove(\"authorization\").andThen(\n    Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n      .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n      .pipe(Auth.header(\"api-key\")),\n  )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config, modelID: string | ModelID) =>\n  route.with({\n    auth: auth(input),\n    endpoint: endpoint(input, modelID),\n  })\n\nfunction endpoint(input: Config, modelID: string | ModelID) {\n  const baseURL = ProviderShared.trimBaseUrl(input.baseURL ?? resourceBaseURL(input.resourceName!))\n  const query = { \"api-version\": input.apiVersion ?? \"v1\", ...input.queryParams }\n\n  if (input.useDeploymentBasedUrls) return { baseURL: `${baseURL}/deployments/${modelID}`, query }\n  if (input.baseURL !== undefined && !new URL(input.baseURL).hostname.endsWith(\".openai.azure.com\")) {\n    return { baseURL, query: input.queryParams }\n  }\n  return { baseURL: `${baseURL}/v1`, query }\n}\n\nexport const configure = (input: Config) => {\n  const modelDefaults = defaults(input)\n\n  const responses = (modelID: string | ModelID) =>\n    configuredRoute(responsesRoute, input, modelID)\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  const chat = (modelID: string | ModelID) =>\n    configuredRoute(chatRoute, input, modelID)\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  return {\n    id,\n    model: responses,\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    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n    useDeploymentBasedUrls: settings.useDeploymentBasedUrls,\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-708v5g63.js.map

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+  "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"
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bin/chunk-74ywzpjz.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  ${info.password}`,\n        \"\",\n        \"  Scan to pair\",\n        \"\",\n        renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n          .split(EOL)\n          .map((line) => \"  \" + line)\n          .join(EOL),\n        \"\",\n      ].join(EOL) + EOL,\n    )\n\n    const hostname = new URL(endpoint.url).hostname\n    if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n    process.stderr.write(`  Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`)\n  }),\n)\n"
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bin/chunk-7586tw3a.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\"\nimport { Global } from \"@opencode-ai/util/global\"\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({\n      server: serverURL,\n      standalone: input.standalone,\n      mismatch: \"replace\",\n    })\n    const config = yield* Config.Service\n    const global = yield* Global.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        paths: { home: global.home, state: global.state, log: global.log },\n      }),\n    )\n  }),\n)\n"
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bin/chunk-7h10ebnq.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/google-vertex-shared.ts"],
+  "sourcesContent": [
+    "import type { AnyAuthClient } from \"google-auth-library\"\nimport { Effect, Redacted } from \"effect\"\nimport { Auth, MissingCredentialError } from \"../route/auth.js\"\n\nconst SCOPE = \"https://www.googleapis.com/auth/cloud-platform\"\n\nexport type OAuthOptions =\n  | { readonly accessToken?: string; readonly auth?: never }\n  | { readonly accessToken?: never; readonly auth?: Auth.Definition }\n\nexport type ApiKeyOptions =\n  | (OAuthOptions & { readonly apiKey?: never })\n  | { readonly accessToken?: never; readonly apiKey?: string; readonly auth?: never }\n\nexport const project = (value?: string) =>\n  value ??\n  process.env.GOOGLE_VERTEX_PROJECT ??\n  process.env.GOOGLE_CLOUD_PROJECT ??\n  process.env.GCP_PROJECT ??\n  process.env.GCLOUD_PROJECT\n\nexport const location = (value: string | undefined, fallback: string) =>\n  value ??\n  process.env.GOOGLE_VERTEX_LOCATION ??\n  process.env.GOOGLE_CLOUD_LOCATION ??\n  process.env.VERTEX_LOCATION ??\n  fallback\n\nexport const host = (location: string) => {\n  if (location === \"global\") return \"aiplatform.googleapis.com\"\n  // Jurisdictional multi-regions use Regional Endpoint Platform domains.\n  if (location === \"eu\" || location === \"us\") return `aiplatform.${location}.rep.googleapis.com`\n  return `${location}-aiplatform.googleapis.com`\n}\n\nexport const requireProject = (value: string | undefined) => {\n  if (value) return value\n  throw new Error(\"Google Vertex requires a project when baseURL is not configured\")\n}\n\nexport const apiKey = (input: ApiKeyOptions) => {\n  if (input.apiKey !== undefined && (input.accessToken !== undefined || input.auth !== undefined))\n    throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n  if (input.accessToken !== undefined || input.auth !== undefined) return undefined\n  return input.apiKey ?? process.env.GOOGLE_VERTEX_API_KEY\n}\n\nconst adc = (project?: string) => {\n  let client: Promise<AnyAuthClient> | undefined\n  const loadClient = () => {\n    if (client) return client\n    client = import(\"google-auth-library\").then(({ GoogleAuth }) =>\n      new GoogleAuth({ projectId: project, scopes: [SCOPE] }).getClient(),\n    )\n    return client\n  }\n  return Auth.effect(\n    Effect.tryPromise({\n      try: async () => {\n        const token = await (await loadClient()).getAccessToken()\n        if (!token.token) throw new Error(\"Google ADC returned an empty access token\")\n        return Redacted.make(token.token)\n      },\n      catch: () => new MissingCredentialError(\"Google Application Default Credentials\"),\n    }),\n  ).bearer()\n}\n\nexport const oauth = (input: OAuthOptions, project?: string) => {\n  if (input.accessToken !== undefined && input.auth !== undefined)\n    throw new Error(\"Google Vertex accessToken cannot be combined with auth\")\n  if (input.auth) return input.auth\n  if (input.accessToken !== undefined) return Auth.bearer(input.accessToken)\n  return adc(project)\n}\n\nexport * as GoogleVertexShared from \"./google-vertex-shared.js\"\n"
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bin/chunk-7pty4dmz.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 mismatch = args.mismatch ?? \"ignore\"\n  const options = yield* ServiceConfig.options({ checkVersion: mismatch !== \"ignore\" })\n  return {\n    endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, mismatch),\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* (options: EnsureOptions, mismatch: NonNullable<Args[\"mismatch\"]>) {\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-7rcfbtn9.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/unset.ts"],
+  "sourcesContent": [
+    "import { 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.unset,\n  Effect.fn(\"cli.service.unset\")(function* (input) {\n    yield* ServiceConfig.unset(input.key, Option.getOrUndefined(input.name))\n  }),\n)\n"
+  ],
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+}

bin/chunk-7treyrdq.js.map

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+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
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+  "mappings": "",
+  "debugId": "C1F885E1DC99CD2064756E2164756E21",
+  "names": []
+}

bin/chunk-89j3ry6t.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openai-compatible.ts"],
+  "sourcesContent": [
+    "import { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\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  readonly providerOptions?: OpenAIProviderOptionsInput\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    provider: settings.provider,\n    providerOptions: settings.providerOptions,\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-971dns1s.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.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\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.js\"\nimport type { Route, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images.js\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options.js\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images.js\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, 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 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 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 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    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    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  return configure(config(settings)).responses(modelID)\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 chat = provider.chat\nexport const image = provider.image\n"
+  ],
+  "mappings": 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+}

bin/chunk-9qn5mphz.js.map

+{
+  "version": 3,
+  "sources": [],
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+  ],
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+  "names": []
+}

bin/chunk-a5w0nhfr.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.js\"\nimport type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from \"./image.js\"\nimport type { AIError } from \"./schema/index.js\"\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, Service> =>\n  Effect.gen(function* () {\n    const client = yield* Service\n    return yield* client.generate(request)\n  })\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 {\n  HttpOptions,\n  InvalidRequestReason,\n  AIError,\n  ModelID,\n  ProviderID,\n  ProviderMetadata,\n  Usage,\n} from \"./schema/index.js\"\nimport { ImageClient, Service, type Execute as ImageExecute } from \"./image-client.js\"\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": "CE75C8355105B6C764756E2164756E21",
+  "names": []
+}

bin/chunk-b49b7aj6.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/openai-compatible-responses.ts", "../ai/src/providers/google-vertex-responses.ts"],
+  "sourcesContent": [
+    "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst ADAPTER = \"openai-compatible-responses\"\n\nexport type OpenAICompatibleResponsesLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Deployment adapter for providers that expose an Open Responses-compatible\n * `/responses` endpoint. Provider helpers configure identity, endpoint, and\n * auth while the semantic protocol remains provider-neutral.\n */\nexport const route = Route.make({\n  id: ADAPTER,\n  providerMetadataKey: \"openresponses\",\n  protocol: OpenResponses.protocol,\n  endpoint: Endpoint.path(OpenResponses.PATH),\n  transport: OpenResponses.httpTransport,\n})\n\nexport * as OpenAICompatibleResponses from \"./openai-compatible-responses.js\"\n",
+    "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleResponses } from \"../protocols/openai-compatible-responses.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenResponsesProviderOptionsInput } from \"./open-responses-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.OAuthOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: OpenResponsesProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly accessToken?: string\n  readonly apiKey?: never\n  readonly baseURL?: string\n  readonly location?: string\n  readonly project?: string\n  readonly providerOptions?: OpenResponsesProviderOptionsInput\n}\n\nconst route = OpenAICompatibleResponses.route.with({\n  id: \"google-vertex-responses\",\n  provider: id,\n  providerOptions: { store: false },\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n  if (\"apiKey\" in input && input.apiKey !== undefined)\n    throw new Error(\"Google Vertex Responses does not support API keys\")\n  const {\n    accessToken: _accessToken,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const location = GoogleVertexShared.location(inputLocation, \"global\")\n  const project = GoogleVertexShared.project(inputProject)\n  return route.with({\n    ...rest,\n    endpoint: {\n      baseURL:\n        baseURL ??\n        `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n    },\n    auth: GoogleVertexShared.oauth(input, project),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => {\n  if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Responses does not support API keys\")\n  return configure({\n    accessToken: settings.accessToken,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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+}

bin/chunk-ba1sfgjc.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"
+  ],
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+}

bin/chunk-bmt9yar8.js.map

+{
+  "version": 3,
+  "sources": ["src/server-process.ts", "src/services/service-registration.ts", "src/services/web-ui.ts", "src/app-assets.ts", "src/commands/handlers/serve.ts"],
+  "sourcesContent": [
+    "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions } 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 { Effect, Option, Redacted, Schedule } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { ServiceRegistration } from \"./services/service-registration\"\nimport { Updater } from \"./services/updater\"\nimport { WebUi } from \"./services/web-ui\"\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  const global = yield* Global.Service\n  if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(global.home))\n  return yield* Effect.scoped(\n    Effect.gen(function* () {\n      const foreground = options.mode === \"default\"\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      const incumbent =\n        serviceOptions !== undefined && port !== undefined\n          ? yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })\n          : undefined\n      if (incumbent !== undefined) 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 transform = yield* WebUi.handler()\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\", \"dev\", \"beta\", \"next\", \"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          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(process.env.OPENCODE_FILEWATCHER_DISABLE ?? process.env.OPENCODE_DISABLE_FILEWATCHER),\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              onListen: (address, shutdown) =>\n                Effect.gen(function* () {\n                  if (!config.password) yield* ServiceConfig.password(password)\n                  return yield* ServiceRegistration.register({\n                    address,\n                    password,\n                    id: instanceID,\n                    file: serviceOptions.file,\n                    shutdown,\n                  })\n                }),\n            },\n        transform,\n      ).pipe(\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 (foreground && !environmentPassword) console.log(`server password ${password}`)\n      const updater = yield* Updater.Service\n      yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n      return yield* options.mode === \"service\"\n        ? server.shutdown\n        : options.mode === \"stdio\"\n          ? waitForStdinClose()\n          : Effect.never\n    }).pipe(Effect.annotateLogs({ role: \"server\" })),\n  )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n  const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n    Effect.filterOrFail((value) => value !== undefined),\n    Effect.retry(Schedule.spaced(\"100 millis\")),\n    Effect.timeoutOption(\"15 seconds\"),\n  )\n  return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n  return `http://${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",
+    "export * as ServiceRegistration from \"./service-registration\"\n\nimport { Service, type Info } from \"@opencode-ai/client/effect/service\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { OPENCODE_VERSION } from \"../version\"\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nexport const register = Effect.fnUntraced(function* (options: {\n  readonly address: HttpServer.Address\n  readonly password: string\n  readonly id: string\n  readonly file: string\n  readonly shutdown: Effect.Effect<void>\n}) {\n  const fs = yield* FileSystem.FileSystem\n  const temp = options.file + \".\" + options.id + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(options.file), { recursive: true })\n  const info = {\n    id: options.id,\n    version: OPENCODE_VERSION,\n    url: HttpServer.formatAddress(options.address),\n    pid: process.pid,\n    password: options.password,\n  }\n  const encoded = yield* encodeInfo(info)\n  const current = fs.readFileString(options.file).pipe(Effect.flatMap(decodeInfo))\n  const owns = (found: Info) =>\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, options.file)))\n  yield* current.pipe(\n    Effect.catchCause((cause) =>\n      Effect.logWarning(\"managed service registration check failed; shutting down\", {\n        cause,\n        serviceID: options.id,\n        servicePID: process.pid,\n        registration: options.file,\n      }).pipe(Effect.andThen(Effect.failCause(cause))),\n    ),\n    Effect.tap((found) =>\n      owns(found)\n        ? Effect.void\n        : Effect.logWarning(\"managed service registration replaced; shutting down\", {\n            serviceID: options.id,\n            servicePID: process.pid,\n            registration: options.file,\n            observedServiceID: found.id,\n            observedServicePID: found.pid,\n            observedVersion: found.version,\n            observedURL: found.url,\n          }),\n    ),\n    Effect.filterOrFail(owns),\n    Effect.repeat(Schedule.spaced(\"5 seconds\")),\n    Effect.ignore,\n    Effect.andThen(options.shutdown),\n    Effect.forkScoped,\n  )\n  return current.pipe(\n    Effect.flatMap((found) => (owns(found) ? fs.remove(options.file) : Effect.void)),\n    Effect.ignore,\n  )\n})\n",
+    "import { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { Effect, FileSystem } from \"effect\"\nimport { HttpServerError, HttpServerRequest, HttpServerResponse } from \"effect/unstable/http\"\nimport { createHash } from \"node:crypto\"\nimport { load, type AssetMap } from \"../app-assets\"\n\nexport const handler = Effect.fn(\"cli.web-ui.handler\")(function* (options?: { readonly assets?: AssetMap }) {\n  const fileSystem = yield* FileSystem.FileSystem\n  const assets = options?.assets\n    ? Effect.succeed(options.assets)\n    : yield* Effect.cached(load().pipe(Effect.provideService(FileSystem.FileSystem, fileSystem)))\n  return <E, R>(api: Effect.Effect<HttpServerResponse.HttpServerResponse, E, R>) =>\n    api.pipe(\n      Effect.catchIf(isRouteNotFound, () =>\n        HttpServerRequest.HttpServerRequest.pipe(\n          Effect.flatMap((request) => {\n            const url = new URL(request.url, \"http://localhost\")\n            if (url.pathname === \"/api\" || url.pathname.startsWith(\"/api/\"))\n              return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n            return assets.pipe(Effect.flatMap((files) => serveUI(request, url, files)))\n          }),\n        ),\n      ),\n    )\n})\n\nfunction serveUI(request: HttpServerRequest.HttpServerRequest, url: URL, assets: AssetMap) {\n  const key = url.pathname.replace(/^\\//, \"\")\n  const name = assets[key] !== undefined ? key : \"index.html\"\n  const file = assets[name]\n  if (!file) return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n  if (request.method !== \"GET\" && request.method !== \"HEAD\")\n    return Effect.succeed(HttpServerResponse.empty({ status: 405 }))\n  const html = name === \"index.html\"\n  const headers = {\n    \"content-type\": FSUtil.mimeType(name),\n    \"cache-control\": html ? \"no-cache\" : \"public, max-age=31536000, immutable\",\n    \"content-security-policy\": html\n      ? cspForHtml(typeof file === \"string\" ? file : Buffer.from(file).toString())\n      : csp(),\n    \"x-content-type-options\": \"nosniff\",\n  }\n  return Effect.succeed(\n    request.method === \"HEAD\" ? HttpServerResponse.empty({ headers }) : HttpServerResponse.raw(file, { headers }),\n  )\n}\n\nfunction isRouteNotFound(error: unknown) {\n  return error instanceof HttpServerError.HttpServerError && error.reason._tag === \"RouteNotFound\"\n}\n\nfunction csp(hash = \"\") {\n  return `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'${hash ? ` 'sha256-${hash}'` : \"\"}; style-src 'self' 'unsafe-inline'; img-src 'self' data: https: blob:; font-src 'self' data:; media-src 'self' data:; connect-src * data: blob:`\n}\n\nfunction cspForHtml(body: string) {\n  const match = body.match(\n    /<script\\b(?![^>]*\\bsrc\\s*=)[^>]*\\bid=([\"'])oc-theme-preload-script\\1[^>]*>([\\s\\S]*?)<\\/script>/i,\n  )\n  return csp(match ? createHash(\"sha256\").update(match[2]).digest(\"base64\") : \"\")\n}\n\nexport * as WebUi from \"./web-ui\"\n",
+    "import { Effect, FileSystem, Option } from \"effect\"\nimport path from \"node:path\"\nimport { brotliDecompressSync } from \"node:zlib\"\nimport { OPENCODE_LOCAL } from \"./version\"\n\nexport type AssetMap = Readonly<Record<string, string | Uint8Array>>\ntype EncodedAssetMap = Readonly<Record<string, { readonly content: string; readonly encoding: \"utf8\" | \"base64\" }>>\n\nexport const load = Effect.fn(\"cli.app-assets.load\")(function* () {\n  const embedded = yield* Effect.tryPromise(() => import(\"virtual:opencode-app-assets\")).pipe(Effect.option)\n  if (Option.isSome(embedded) && embedded.value.default.length > 0) return decodeArchive(embedded.value.default)\n  if (!OPENCODE_LOCAL) return yield* Effect.fail(new Error(\"Web UI assets are missing from the CLI build\"))\n  return decode(yield* sourceAssets())\n})\n\nfunction decodeArchive(archive: string) {\n  const body = brotliDecompressSync(Buffer.from(archive, \"base64\")).toString()\n  return decode(JSON.parse(body) as EncodedAssetMap)\n}\n\nconst sourceAssets = Effect.fnUntraced(function* () {\n  const fs = yield* FileSystem.FileSystem\n  const root = path.resolve(import.meta.dirname, \"../../app/dist\")\n  const files = yield* fs.readDirectory(root, { recursive: true })\n  return Object.fromEntries(\n    (yield* Effect.forEach(\n      files.filter((file) => !file.endsWith(\".map\")),\n      Effect.fnUntraced(function* (file) {\n        const target = path.join(root, file)\n        if ((yield* fs.stat(target)).type === \"Directory\") return\n        const body = Buffer.from(yield* fs.readFile(target))\n        const encoding = isText(file) ? \"utf8\" : \"base64\"\n        return [file, { encoding, content: body.toString(encoding) }] as const\n      }),\n      { concurrency: \"unbounded\" },\n    )).filter((asset) => asset !== undefined),\n  )\n})\n\nfunction decode(assets: EncodedAssetMap): AssetMap {\n  return Object.fromEntries(\n    Object.entries(assets).map(([key, asset]) => [\n      key,\n      asset.encoding === \"utf8\" ? asset.content : Buffer.from(asset.content, \"base64\"),\n    ]),\n  )\n}\n\nfunction isText(file: string) {\n  return file === \"_headers\" || /\\.(?:css|html|js|json|svg|txt|webmanifest|xml)$/.test(file)\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": "517025EEE175AD9D64756E2164756E21",
+  "names": []
+}

bin/chunk-csrr3ts7.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": ";m6BAAA,cAAS,WAQT,IAAe,IAAQ,QACrB,EAAS,SAAS,MAAM,SAAS,OACjC,EAAO,GAAG,kBAAkB,EAAE,SAAU,EAAG,CACzC,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,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": "8B11EF34D882177364756E2164756E21",
+  "names": []
+}

bin/chunk-cvq3srj4.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/plugin/remove.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Config } from \"../../../config\"\nimport { resolveConfigPath } from \"../mcp/add\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.remove,\n  Effect.fn(\"cli.plugin.remove\")(function* (input) {\n    const global = yield* Global.Service\n    const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n    const server = yield* Effect.promise(() => removePluginConfig(configPath, input.package))\n    const config = yield* Config.Service\n    const info = yield* config.get()\n    const tui = configured(info.plugins, input.package)\n    if (tui)\n      yield* config.update((draft) => {\n        draft.plugins = draft.plugins?.filter((entry) => !matches(entry, input.package))\n      })\n\n    const removed = [server ? configPath : undefined, tui ? config.path : undefined].filter(\n      (file) => file !== undefined,\n    )\n    process.stdout.write(\n      removed.length\n        ? `Plugin \"${input.package}\" removed from ${removed.join(\", \")}${EOL}`\n        : `Plugin \"${input.package}\" is not configured${EOL}`,\n    )\n  }),\n)\n\nexport async function removePluginConfig(configPath: string, spec: string) {\n  const text = await readFile(configPath, \"utf8\").catch((error) => {\n    if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return undefined\n    throw error\n  })\n  if (text === undefined) return false\n  const errors: ParseError[] = []\n  const config: unknown = parse(text, errors, { allowTrailingComma: true })\n  if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n    throw new Error(`Invalid global configuration: ${configPath}`)\n  const plugins = \"plugins\" in config ? config.plugins : undefined\n  if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n  if (!configured(plugins, spec)) return false\n\n  const updated = applyEdits(\n    text,\n    modify(\n      text,\n      [\"plugins\"],\n      plugins?.filter((entry) => !matches(entry, spec)),\n      {\n        formattingOptions: { tabSize: 2, insertSpaces: true },\n      },\n    ),\n  )\n  const temporary = configPath + \".tmp\"\n  await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n  await rename(temporary, configPath)\n  return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n  return plugins?.some((entry) => matches(entry, spec)) ?? false\n}\n\nfunction matches(entry: unknown, spec: string) {\n  return entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec)\n}\n"
+  ],
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+}

bin/chunk-cw68mvv1.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/models.ts"],
+  "sourcesContent": [
+    "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n  Commands.commands.models,\n  Effect.fn(\"cli.models\")(function* (input) {\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    })\n    const client = OpenCode.make({\n      baseUrl: server.endpoint.url,\n      headers: Service.headers(server.endpoint),\n    })\n    const response = yield* Effect.promise(() => client.model.list({ location: { directory: process.cwd() } }))\n    const models = response.data\n      .map((model) => `${model.providerID}/${model.id}`)\n      .toSorted((a, b) => a.localeCompare(b))\n    if (models.length > 0) process.stdout.write(models.join(EOL) + EOL)\n  }),\n)\n"
+  ],
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+}

bin/chunk-dv7gwczz.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/google-vertex.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderID, type LLMRequest, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport interface GeminiOptionsInput extends Gemini.OptionsInput {\n  readonly labels?: Readonly<Record<string, string>>\n}\n\nexport type GeminiProviderOptionsInput = GeminiOptionsInput\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.ApiKeyOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: GeminiProviderOptionsInput\n  }\n\nexport type Settings = ProviderPackage.Settings &\n  (\n    | { readonly accessToken?: string; readonly apiKey?: never }\n    | { readonly accessToken?: never; readonly apiKey?: string }\n  ) & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: GeminiProviderOptionsInput\n  }\n\nconst fromRequest = Effect.fn(\"GoogleVertex.fromRequest\")(function* (request: LLMRequest) {\n  const body = yield* Gemini.protocol.body.from(request)\n  const value = request.providerOptions?.labels\n  const labels = ProviderShared.isRecord(value)\n    ? Object.fromEntries(\n        Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === \"string\"),\n      )\n    : undefined\n  return { ...body, labels }\n})\n\nconst protocol = {\n  ...Gemini.protocol,\n  body: {\n    ...Gemini.protocol.body,\n    from: fromRequest,\n  },\n}\n\nconst route = Route.make({\n  id: \"google-vertex-gemini\",\n  provider: id,\n  providerMetadataKey: \"google\",\n  protocol,\n  endpoint: Endpoint.path(({ request }) => {\n    const model = String(request.model.id)\n    return `/${model.startsWith(\"endpoints/\") ? model : `models/${model}`}:streamGenerateContent?alt=sse`\n  }),\n  auth: Auth.none,\n  framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config, modelID: string | ModelID) => {\n  const {\n    accessToken: _accessToken,\n    apiKey: _apiKey,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const apiKey = GoogleVertexShared.apiKey(input)\n  const endpointModel = String(modelID).startsWith(\"endpoints/\")\n  if (apiKey !== undefined && endpointModel)\n    throw new Error(\"Google Vertex tuned models do not support Express Mode API keys\")\n  const location = GoogleVertexShared.location(inputLocation, \"us-central1\")\n  const project = GoogleVertexShared.project(inputProject)\n  const endpoint =\n    baseURL ??\n    (apiKey\n      ? \"https://aiplatform.googleapis.com/v1/publishers/google\"\n      : `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? \"\" : \"/publishers/google\"}`)\n  return route.with({\n    ...rest,\n    endpoint: { baseURL: endpoint },\n    auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header(\"x-goog-api-key\", apiKey),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  return {\n    id,\n    model: (modelID: string | ModelID) =>\n      configuredRoute(input, modelID).model<GeminiProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\nexport const model: ProviderPackage.Definition<Settings, GeminiProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined && settings.accessToken !== undefined)\n    throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n  return configure({\n    ...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { 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    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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+  "debugId": "2163F2275A8B85E164756E2164756E21",
+  "names": []
+}

bin/chunk-eyf798d0.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/plugin/list.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type PluginInfo } 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\"\nimport { Config } from \"../../../config\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { discoverTuiPlugins, tuiPluginDirectories } from \"@opencode-ai/tui/plugin/discovery\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.list,\n  Effect.fn(\"cli.plugin.list\")(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    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n    const config = yield* Config.Service\n    const global = yield* Global.Service\n    const info = yield* config.get()\n    const discovered = yield* Effect.promise(() =>\n      tuiPluginDirectories(process.cwd(), global.config).then(discoverTuiPlugins),\n    )\n    const output = format(\n      response.data,\n      [\n        ...(info.plugins ?? []).flatMap((entry) => {\n          const target = typeof entry === \"string\" ? entry : entry.package\n          return target.startsWith(\"-\") ? [] : [{ target, source: \"configured\" as const }]\n        }),\n        ...discovered.map((target) => ({ target, source: \"discovered\" as const })),\n      ],\n      input.builtin,\n    )\n    if (!output) {\n      process.stdout.write(\"No plugins found\" + EOL)\n      return\n    }\n    process.stdout.write(output + EOL)\n  }),\n)\n\nexport function format(\n  plugins: readonly PluginInfo[],\n  tui: ReadonlyArray<{ readonly target: string; readonly source: \"configured\" | \"discovered\" }>,\n  builtin = false,\n) {\n  const server = plugins\n    .filter((plugin) => builtin || plugin.source.type !== \"builtin\")\n    .toSorted((a, b) => name(a).localeCompare(name(b)))\n    .map((plugin) => `${name(plugin)} (${plugin.status})`)\n  const advertised = plugins.flatMap((plugin) =>\n    plugin.status === \"active\" && plugin.tui && plugin.source.type === \"package\"\n      ? [{ target: plugin.source.package, source: \"advertised\" as const }]\n      : [],\n  )\n  const targets = [...tui, ...advertised]\n    .filter((plugin, index, all) => all.findIndex((candidate) => candidate.target === plugin.target) === index)\n    .toSorted((a, b) => a.target.localeCompare(b.target))\n    .map((plugin) => `${plugin.target} (${plugin.source})`)\n  return [\n    targets.length ? [\"TUI\", ...targets].join(EOL) : undefined,\n    server.length ? [\"Server\", ...server].join(EOL) : undefined,\n  ]\n    .filter((section) => section !== undefined)\n    .join(EOL + EOL)\n}\n\nfunction name(plugin: PluginInfo) {\n  if (plugin.id) return plugin.id\n  if (plugin.source.type === \"package\") return plugin.source.package\n  if (plugin.source.type === \"local\") return plugin.source.path\n  return plugin.source.type\n}\n"
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+  "debugId": "CFF612A765DD3E9E64756E2164756E21",
+  "names": []
+}

bin/chunk-f00gce54.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/google-vertex-chat.ts"],
+  "sourcesContent": [
+    "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleChat } from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.OAuthOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly accessToken?: string\n  readonly apiKey?: never\n  readonly baseURL?: string\n  readonly location?: string\n  readonly project?: string\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst route = OpenAICompatibleChat.route.with({\n  id: \"google-vertex-chat\",\n  provider: id,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n  if (\"apiKey\" in input && input.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n  const {\n    accessToken: _accessToken,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const location = GoogleVertexShared.location(inputLocation, \"global\")\n  const project = GoogleVertexShared.project(inputProject)\n  return route.with({\n    ...rest,\n    endpoint: {\n      baseURL:\n        baseURL ??\n        `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n    },\n    auth: GoogleVertexShared.oauth(input, project),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n  return configure({\n    accessToken: settings.accessToken,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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+}

bin/chunk-f3rp5s8r.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/openai-compatible-chat.ts"],
+  "sourcesContent": [
+    "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport * as OpenAIChat from \"./openai-chat.js\"\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.js\"\n"
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+  "debugId": "D97AED9A309809E464756E2164756E21",
+  "names": []
+}

bin/chunk-f993qw2w.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"],
+  "sourcesContent": [
+    "import { OpenResponsesOptions } from \"./open-responses-options.js\"\n\nexport const OpenAIReasoningEfforts = OpenResponsesOptions.ReasoningEfforts\nexport type OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosities = OpenResponsesOptions.TextVerbosities\nexport type OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity\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.TextVerbosity\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.js\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { Protocol } from \"../route/protocol.js\"\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/index.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { OpenAIOptions } from \"./utils/openai-options.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"openai-chat\"\nconst RESERVED_REASONING_FIELDS = new Set([\"role\", \"content\", \"refusal\", \"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\n// Intentionally omit Gemini's provider-specific `extra_content.google.thought_signature`\n// extension until direct Google OpenAI-compatible routing is supported here:\n// https://github.com/vercel/ai/issues/11590\n// https://github.com/vercel/ai/pull/11745\n// https://ai.google.dev/gemini-api/docs/thought-signatures#openai\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  prompt_cache_key: Schema.optional(Schema.String),\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.StructWithRest(\n  Schema.Struct({\n    prompt_tokens: optionalNull(Schema.Number),\n    completion_tokens: optionalNull(Schema.Number),\n    total_tokens: optionalNull(Schema.Number),\n    prompt_tokens_details: optionalNull(\n      Schema.StructWithRest(\n        Schema.Struct({\n          cached_tokens: optionalNull(Schema.Number),\n          cache_write_tokens: optionalNull(Schema.Number),\n        }),\n        [Schema.Record(Schema.String, Schema.Unknown)],\n      ),\n    ),\n    completion_tokens_details: optionalNull(\n      Schema.StructWithRest(\n        Schema.Struct({\n          reasoning_tokens: optionalNull(Schema.Number),\n          accepted_prediction_tokens: optionalNull(Schema.Number),\n          rejected_prediction_tokens: optionalNull(Schema.Number),\n        }),\n        [Schema.Record(Schema.String, Schema.Unknown)],\n      ),\n    ),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n  name: optionalNull(Schema.String),\n  arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n  index: optionalNull(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    refusal: 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  readonly latestToolIndex?: number\n  readonly nextToolIndex: number\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 = ProviderShared.normalizeMedia(part)\n  if (!media.mime.startsWith(\"image/\"))\n    return yield* ProviderShared.invalidRequest(`OpenAI Chat does not support media type ${part.mediaType}`)\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 cacheControl = options.cacheControl?.(cached && \"cache\" in cached ? cached.cache : undefined)\n  const result = {\n    role: \"assistant\" as const,\n    content: content.length > 0 ? content.map((part) => part.text).join(\"\") : toolCalls.length > 0 ? null : \"\",\n    ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),\n    ...(details !== undefined ? { reasoning_details: details } : {}),\n    ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),\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    ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\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 input = usage.prompt_tokens ?? undefined\n  const output = usage.completion_tokens ?? undefined\n  const cached = usage.prompt_tokens_details?.cached_tokens ?? undefined\n  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined\n  const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined\n  const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))\n  return new Usage({\n    inputTokens: input,\n    outputTokens: output,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    cacheWriteInputTokens: cacheWrite,\n    reasoningTokens: reasoning,\n    totalTokens: ProviderShared.totalTokens(input, output, usage.total_tokens ?? undefined),\n    providerMetadata: { openai: usage },\n  })\n}\n\nconst toolIndexByID = (\n  tools: ParserState[\"tools\"],\n  pendingTools: ParserState[\"pendingTools\"],\n  id: string | undefined,\n) => {\n  if (!id) return undefined\n  const entry = Object.entries({ ...pendingTools, ...tools }).find(([, tool]) => tool?.id === id)\n  return entry ? Number(entry[0]) : undefined\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 rawFinishReason = choice?.finish_reason\n    const finishReason =\n      rawFinishReason !== undefined && rawFinishReason !== null\n        ? { normalized: mapFinishReason(rawFinishReason), raw: choice?.native_finish_reason ?? rawFinishReason }\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    let latestToolIndex = state.latestToolIndex\n    let nextToolIndex = state.nextToolIndex\n\n    let lifecycle = state.lifecycle\n\n    const reasoning = reasoningDelta(delta, state.reasoningField)\n    const hasLateContent =\n      Boolean(delta?.content) ||\n      Boolean(delta?.refusal) ||\n      reasoning !== undefined ||\n      (Array.isArray(delta?.reasoning_details) && delta.reasoning_details.length > 0) ||\n      toolDeltas.some((tool) => Boolean(tool.id) || Boolean(tool.function?.name) || Boolean(tool.function?.arguments))\n    if (state.finishReason !== undefined) {\n      if (hasLateContent)\n        return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat received content after the finish reason\")\n      return [{ ...state, usage }, events] as const\n    }\n\n    const reasoningField = state.reasoningField ?? reasoning?.field\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 (text !== undefined) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n    else if (\n      reasoningDetailsObserved &&\n      !lifecycle.reasoning.has(\"reasoning-0\") &&\n      (Boolean(delta?.content) || Boolean(delta?.refusal) || 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    if (delta?.refusal) {\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.refusal)\n    }\n\n    // Compatible providers may omit indexes. Prefer durable identity, then use\n    // batch position for parallel deltas or the latest call for sparse chunks.\n    for (const [position, tool] of toolDeltas.entries()) {\n      const matched = toolIndexByID(tools, pendingTools, tool.id || undefined)\n      const fallback = toolDeltas.length > 1 ? position : (latestToolIndex ?? position)\n      const fallbackTool = tools[fallback] ?? pendingTools[fallback]\n      const index =\n        tool.index ?? matched ?? (tool.id && fallbackTool?.id && fallbackTool.id !== tool.id ? nextToolIndex : fallback)\n      const current = tools[index]\n      const pending = pendingTools[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      latestToolIndex = index\n      nextToolIndex = Math.max(nextToolIndex, index + 1)\n      if (!current && (!id || !name)) {\n        pendingTools = {\n          ...pendingTools,\n          [index]: { id: id || undefined, name: name || undefined, input: text },\n        }\n        continue\n      }\n      if (pending) {\n        pendingTools = { ...pendingTools }\n        delete pendingTools[index]\n      }\n      const result = ToolStream.appendOrStart(\n        ADAPTER,\n        tools,\n        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        latestToolIndex,\n        nextToolIndex,\n      },\n      events,\n    ] as const\n  })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n  const events: LLMEvent[] = []\n  const toolCallEvents =\n    state.finishReason === undefined && Object.keys(state.tools).length > 0\n      ? Effect.runSync(ToolStream.finishAll(ADAPTER, state.tools)).events\n      : state.toolCallEvents\n  const hasToolCalls = 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    : { normalized: hasToolCalls ? (\"tool-calls\" as const) : (\"unknown\" as const) }\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 = toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n  events.push(...toolCallEvents)\n  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      nextToolIndex: 0,\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.js\"\n"
+  ],
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+  "debugId": "A57BBE55EBFCD9F264756E2164756E21",
+  "names": []
+}

bin/chunk-g1n4vjrs.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(\n      (yield* ServiceConfig.get(Option.getOrUndefined(input.key), Option.getOrUndefined(input.name))) + EOL,\n    )\n  }),\n)\n"
+  ],
+  "mappings": ";02BAAA,cAAS,WAMT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,IACnC,EAAO,GAAG,iBAAiB,EAAE,SAAU,CAAC,EAAO,CAC7C,QAAQ,OAAO,OACZ,MAAO,EAAc,IAAI,EAAO,eAAe,EAAM,GAAG,EAAG,EAAO,eAAe,EAAM,IAAI,CAAC,GAAK,CACpG,EACD,CACH",
+  "debugId": "EC50ADA0955B59A364756E2164756E21",
+  "names": []
+}

bin/chunk-gb4pz95k.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/auth/list.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { createClient, loadIntegrations } from \"./shared\"\nimport { errorMessage } from \"../../../ui/prompt\"\n\nexport default Runtime.handler(Commands.commands.auth.commands.list, (input) =>\n  list(input).pipe(\n    Effect.catch((error) =>\n      Effect.sync(() => {\n        process.stderr.write(errorMessage(error) + EOL)\n        process.exitCode = 1\n      }),\n    ),\n  ),\n)\n\nconst list = Effect.fn(\"cli.auth.list\")(function* (input) {\n  const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })\n  const integrations = (yield* loadIntegrations(client)).filter((integration) => integration.connections.length > 0)\n  if (input.format === \"json\") {\n    process.stdout.write(\n      JSON.stringify(\n        integrations.map((integration) => ({\n          id: integration.id,\n          name: integration.name,\n          connections: integration.connections,\n        })),\n        null,\n        2,\n      ) + EOL,\n    )\n    return\n  }\n  const rows = integrations.flatMap((integration) =>\n    integration.connections.map((connection) => ({\n      integration: integration.name,\n      source: connection.type === \"credential\" ? connection.label : connection.name,\n      type: connection.type === \"credential\" ? \"stored\" : \"environment\",\n    })),\n  )\n  if (rows.length === 0) {\n    process.stdout.write(\"No authenticated integrations\" + EOL)\n    return\n  }\n  const width = Math.max(...rows.map((row) => row.integration.length)) + 2\n  process.stdout.write(\n    rows.map((row) => row.integration.padEnd(width) + row.source.padEnd(28) + row.type).join(EOL) + EOL,\n  )\n})\n"
+  ],
+  "mappings": ";gpCAAA,cAAS,WAOT,IAAe,IAAQ,QAAQ,EAAS,SAAS,KAAK,SAAS,KAAM,CAAC,IACpE,EAAK,CAAK,EAAE,KACV,EAAO,MAAM,CAAC,IACZ,EAAO,KAAK,IAAM,CAChB,QAAQ,OAAO,MAAM,EAAa,CAAK,EAAI,CAAG,EAC9C,QAAQ,SAAW,EACpB,CACH,CACF,CACF,EAEM,EAAO,EAAO,GAAG,eAAe,EAAE,SAAU,CAAC,EAAO,CACxD,IAAM,EAAS,MAAO,EAAa,CAAE,OAAQ,EAAO,eAAe,EAAM,MAAM,EAAG,WAAY,EAAM,UAAW,CAAC,EAC1G,GAAgB,MAAO,EAAiB,CAAM,GAAG,OAAO,CAAC,IAAgB,EAAY,YAAY,OAAS,CAAC,EACjH,GAAI,EAAM,SAAW,OAAQ,CAC3B,QAAQ,OAAO,MACb,KAAK,UACH,EAAa,IAAI,CAAC,KAAiB,CACjC,GAAI,EAAY,GAChB,KAAM,EAAY,KAClB,YAAa,EAAY,WAC3B,EAAE,EACF,KACA,CACF,EAAI,CACN,EACA,OAEF,IAAM,EAAO,EAAa,QAAQ,CAAC,IACjC,EAAY,YAAY,IAAI,CAAC,KAAgB,CAC3C,YAAa,EAAY,KACzB,OAAQ,EAAW,OAAS,aAAe,EAAW,MAAQ,EAAW,KACzE,KAAM,EAAW,OAAS,aAAe,SAAW,aACtD,EAAE,CACJ,EACA,GAAI,EAAK,SAAW,EAAG,CACrB,QAAQ,OAAO,MAAM,gCAAkC,CAAG,EAC1D,OAEF,IAAM,EAAQ,KAAK,IAAI,GAAG,EAAK,IAAI,CAAC,IAAQ,EAAI,YAAY,MAAM,CAAC,EAAI,EACvE,QAAQ,OAAO,MACb,EAAK,IAAI,CAAC,IAAQ,EAAI,YAAY,OAAO,CAAK,EAAI,EAAI,OAAO,OAAO,EAAE,EAAI,EAAI,IAAI,EAAE,KAAK,CAAG,EAAI,CAClG,EACD",
+  "debugId": "F825ABF475B2B8E064756E2164756E21",
+  "names": []
+}

bin/chunk-gds1phyr.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/set.ts"],
+  "sourcesContent": [
+    "import { 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.set,\n  Effect.fn(\"cli.service.set\")(function* (input) {\n    yield* ServiceConfig.set(input.key, input.value, Option.getOrUndefined(input.nestedValue))\n  }),\n)\n"
+  ],
+  "mappings": ";02BAKA,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,IACnC,EAAO,GAAG,iBAAiB,EAAE,SAAU,CAAC,EAAO,CAC7C,MAAO,EAAc,IAAI,EAAM,IAAK,EAAM,MAAO,EAAO,eAAe,EAAM,WAAW,CAAC,EAC1F,CACH",
+  "debugId": "0417BEFB190D3DD164756E2164756E21",
+  "names": []
+}

bin/chunk-gk45nw0x.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        ...(server ? { answer: { 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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bin/chunk-h4mt8wea.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/amazon-bedrock-mantle.ts"],
+  "sourcesContent": [
+    "import { Auth } from \"../route/auth.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAIChat } from \"../protocols/openai-chat.js\"\nimport { OpenAIResponses } from \"../protocols/openai-responses.js\"\nimport { BedrockAuth, type Credentials } from \"../protocols/utils/bedrock-auth.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly credentials?: Credentials\n  readonly region?: string\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly auth?: \"bearer\" | \"sigv4\"\n  readonly baseURL?: string\n  readonly credentials?: Credentials\n  readonly region?: string\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"bedrock-mantle-responses\",\n  provider: id,\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"bedrock-mantle-chat\",\n  provider: id,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) => {\n  const region = input.region ?? input.credentials?.region ?? \"us-east-1\"\n  const credentials = input.credentials === undefined ? undefined : { ...input.credentials, region }\n  return route.with({\n    endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },\n    auth:\n      input.apiKey === undefined\n        ? BedrockAuth.sigV4(credentials, { service: \"bedrock-mantle\", name: \"Bedrock Mantle\" })\n        : Auth.bearer(input.apiKey),\n  })\n}\n\nconst defaults = (input: Config) => {\n  const { apiKey: _, baseURL: _baseURL, credentials: _credentials, region: _region, ...rest } = input\n  return rest\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  const responses = (modelID: string | ModelID) =>\n    configuredResponsesRoute\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\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: chat,\n    chat,\n    responses,\n    configure,\n  }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n  if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n    throw new Error(\"Amazon Bedrock Mantle bearer auth requires apiKey\")\n  if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n    throw new Error(\"Amazon Bedrock Mantle SigV4 auth does not accept apiKey\")\n  return {\n    apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n    baseURL: settings.baseURL,\n    credentials: settings.credentials,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    providerOptions: settings.providerOptions,\n    region: settings.region,\n  }\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).chat(modelID)\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).responses(modelID)\nexport const model = chatModel\n"
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bin/chunk-h849r81a.js.map

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+  "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.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared, optionalNull } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\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.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpOptions, ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { XAIImages } from \"../protocols/xai-images.js\"\nimport type { OpenAIOptionsInput } from \"./openai-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = OpenAIOptionsInput\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.js\"\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: { 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  headers: ({ request }): Record<string, string> =>\n    request.promptCacheKey ? { \"x-grok-conv-id\": request.promptCacheKey } : {},\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    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-jz3zv8wj.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\"\nimport { Env } from \"../env\"\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({\n    baseUrl: endpoint.url,\n    headers: Service.headers(endpoint),\n    // Bun's default five-minute deadline terminates the event stream used by long-running sessions.\n    fetch: ((request: RequestInfo | URL, init?: RequestInit) =>\n      fetch(request, { ...init, timeout: false } as BunFetchRequestInit)) as typeof fetch,\n  })\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    environment: input.server.service ? Env.session() : undefined,\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.inbox.delivered\") {\n        if (event.data.inboxID === 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.id), {\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.id))\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.id))\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.id)\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.id))\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.id)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.id,\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          partID: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          id: event.data.id,\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.id)\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.id,\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          partID: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          id: event.data.id,\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 (input.compatibility === \"v1\" && event.data.error.message === \"The provider response ended unexpectedly.\") {\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-${ordinal}`),\n            sessionID: input.sessionID,\n            messageID: message.id,\n            type: \"reasoning\",\n            text,\n            metadata: item.state,\n            time: { start: message.time.created, end: timestamp },\n          }\n          renderedReasoning.set(key, item.text)\n          writeReasoning(part, timestamp)\n          continue\n        }\n\n        const key = toolKey(message.id, item.id)\n        if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n        const part: MiniToolPart = {\n          partID: projectedPartID(message.id, `tool-${item.id}`),\n          sessionID: input.sessionID,\n          messageID: message.id,\n          type: \"tool\",\n          id: 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_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, id: string) {\n  return `${messageID}\\u0000${id}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n  return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n  return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n  id: string\n  created: number\n  data: { assistantMessageID: string; id: string }\n}): ToolState {\n  return {\n    id: partID(event.id),\n    timestamp: toMillis(event.created),\n    assistantMessageID: event.data.assistantMessageID,\n    tool: \"tool\",\n    input: {},\n    metadata: {},\n    content: [],\n  }\n}\n\nfunction toMillis(value: unknown) {\n  if (typeof value === \"number\") return value\n  if (typeof value === \"string\") return new Date(value).getTime()\n  return Date.now()\n}\n\nasync function prepareFile(file: File) {\n  if (file.mime !== \"text/plain\") {\n    const uri = file.url.startsWith(\"data:\")\n      ? file.url\n      : `data:${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": "EF40D88F9AB7CFE564756E2164756E21",
+  "names": []
+}

bin/chunk-kqazmagb.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/auth/logout.ts"],
+  "sourcesContent": [
+    "import { autocomplete, intro, outro, spinner } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { IntegrationInfo } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { createClient, loadIntegrations, location, request, resolveIntegration } from \"./shared\"\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.logout,\n  Effect.fn(\"cli.auth.logout\")((input) =>\n    logout({\n      target: Option.getOrUndefined(input.target),\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    }).pipe(handlePromptErrors),\n  ),\n)\n\nconst logout = Effect.fn(\"cli.auth.logout.run\")(function* (input: {\n  target?: string\n  server?: string\n  standalone: boolean\n}) {\n  if (!input.target)\n    yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n  intro(\"Remove credential\")\n  const client = yield* createClient({ server: input.server, standalone: input.standalone })\n  const integrations = yield* loadIntegrations(client)\n  const integration = yield* chooseIntegration(integrations, input.target)\n  const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n  if (credentials.length === 0) {\n    const environment = integration.connections\n      .filter((connection) => connection.type === \"env\")\n      .map((connection) => connection.name)\n    if (environment.length) {\n      yield* Effect.fail(\n        new Error(\n          `${integration.name} is authenticated through ${environment.join(\", \")}; unset the environment variable to disconnect`,\n        ),\n      )\n    }\n    yield* Effect.fail(new Error(`No stored credentials for ${integration.name}`))\n  }\n  const progress = spinner()\n  progress.start(\"Removing credential...\")\n  yield* Effect.forEach(\n    credentials,\n    (connection) =>\n      request((signal) => client.credential.remove({ credentialID: connection.id, location }, { signal })),\n    { concurrency: \"unbounded\", discard: true },\n  ).pipe(\n    Effect.tap(() => Effect.sync(() => progress.stop(`Disconnected from ${integration.name}`))),\n    Effect.tapCause(() => Effect.sync(() => progress.stop(\"Failed to remove credential\", 1))),\n  )\n  outro(\"Done\")\n})\n\nconst chooseIntegration = Effect.fn(\"cli.auth.logout.integration\")(function* (\n  integrations: IntegrationInfo[],\n  target?: string,\n) {\n  if (target) return yield* resolveIntegration(integrations, target)\n  const configured = integrations.filter((integration) =>\n    integration.connections.some((connection) => connection.type === \"credential\"),\n  )\n  if (configured.length === 0) return yield* Effect.fail(new Error(\"No stored credentials found\"))\n  const id = yield* prompt<string>(() =>\n    autocomplete({\n      message: \"Select integration\",\n      maxItems: 8,\n      options: configured.map((integration) => ({\n        value: integration.id,\n        label: integration.name,\n        hint: integration.connections\n          .filter((connection) => connection.type === \"credential\")\n          .map((connection) => connection.label)\n          .join(\", \"),\n      })),\n    }),\n  )\n  return yield* resolveIntegration(configured, id)\n})\n"
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+}

bin/chunk-m9gbkqwd.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
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+}

bin/chunk-n1wy9p1y.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/plugin/add.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { mkdir, readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Npm } from \"@opencode-ai/util/npm\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { resolveConfigPath } from \"../mcp/add\"\nimport { Config } from \"../../../config\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.add,\n  Effect.fn(\"cli.plugin.add\")(function* (input) {\n    if (!(yield* Effect.promise(() => Npm.isRegistryPackage(input.package))))\n      return yield* Effect.fail(\n        new Error(\"Plugin target must be an npm registry package name, version, tag, or semver range\"),\n      )\n    const npm = yield* Npm.Service\n    const installed = yield* npm.add(input.package, { subpaths: [\"server\", \"\"] })\n    const tui = yield* npm.resolve(input.package, { subpaths: [\"tui\"] })\n    const target = configurationTarget(installed.entrypoint, tui.entrypoint)\n    if (!target)\n      return yield* Effect.fail(new Error(`Plugin package has no server or TUI entrypoint: ${input.package}`))\n\n    if (target === \"server\") {\n      const global = yield* Global.Service\n      const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n      const changed = yield* Effect.promise(() => writePluginConfig(configPath, input.package))\n      process.stdout.write(\n        changed\n          ? `Plugin \"${input.package}\" installed and added to ${configPath}${EOL}`\n          : `Plugin \"${input.package}\" is already configured in ${configPath}${EOL}`,\n      )\n      return\n    }\n\n    const config = yield* Config.Service\n    yield* config.update((draft) => {\n      if (configured(draft.plugins, input.package)) return\n      draft.plugins = [...(draft.plugins ?? []), input.package]\n    })\n    process.stdout.write(`TUI plugin \"${input.package}\" installed and added to ${config.path}${EOL}`)\n  }),\n)\n\nexport function configurationTarget(server?: string, tui?: string) {\n  if (server) return \"server\" as const\n  if (tui) return \"tui\" as const\n}\n\nexport async function writePluginConfig(configPath: string, spec: string) {\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 errors: ParseError[] = []\n  const config: unknown = parse(text, errors, { allowTrailingComma: true })\n  if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n    throw new Error(`Invalid global configuration: ${configPath}`)\n  const plugins = \"plugins\" in config ? config.plugins : undefined\n  if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n  if (configured(plugins, spec)) return false\n\n  const updated = applyEdits(\n    text,\n    modify(text, [\"plugins\"], [...(plugins ?? []), spec], { formattingOptions: { tabSize: 2, insertSpaces: true } }),\n  )\n  await mkdir(path.dirname(configPath), { recursive: true })\n  const temporary = configPath + \".tmp\"\n  await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n  await rename(temporary, configPath)\n  return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n  return plugins?.some(\n    (entry) =>\n      entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec),\n  )\n}\n"
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+  "names": []
+}

bin/chunk-n3qe8gmh.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/import.ts"],
+  "sourcesContent": [
+    "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Session } from \"@opencode-ai/schema/session\"\nimport { SessionTransfer } from \"@opencode-ai/schema/session-transfer\"\nimport { Effect, Option, Schema } from \"effect\"\nimport { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n  Commands.commands.import,\n  Effect.fn(\"cli.import\")(function* (input) {\n    const text = yield* Effect.tryPromise({\n      try: () =>\n        input.file.startsWith(\"http://\") || input.file.startsWith(\"https://\")\n          ? fetch(input.file).then((response) => {\n              if (!response.ok) throw new Error(`Failed to fetch session data: ${response.statusText}`)\n              return response.text()\n            })\n          : Bun.file(input.file).text(),\n      catch: (cause) =>\n        new Error(`Failed to read session data: ${cause instanceof Error ? cause.message : String(cause)}`),\n    })\n    const data = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(SessionTransfer.Data))(text)\n    const encoded = Schema.encodeSync(SessionTransfer.Data)(data)\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    })\n    const client = OpenCode.make({\n      baseUrl: server.endpoint.url,\n      headers: Service.headers(server.endpoint),\n    })\n    const location = yield* Effect.promise(() =>\n      client.location.get({\n        location: { directory: path.resolve(Option.getOrElse(input.directory, () => process.cwd())) },\n      }),\n    )\n    const response = yield* Effect.promise(() =>\n      fetch(new URL(\"/api/session/import\", server.endpoint.url), {\n        method: \"POST\",\n        headers: { ...Service.headers(server.endpoint), \"content-type\": \"application/json\" },\n        body: JSON.stringify({\n          ...encoded,\n          location: { directory: location.directory, workspaceID: location.workspaceID },\n        }),\n      }),\n    )\n    if (response.status === 409) {\n      process.stderr.write(`Session already exists${EOL}`)\n      return\n    }\n    if (!response.ok) yield* Effect.fail(new Error(`Failed to import session: ${response.statusText}`))\n    const imported = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Schema.Struct({ data: Session.Info })))(\n      yield* Effect.promise(() => response.text()),\n    )\n    process.stdout.write(`Imported session: ${imported.data.id}${EOL}`)\n  }),\n)\n"
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+  "debugId": "86107E04F287B1DE64756E2164756E21",
+  "names": []
+}

bin/chunk-net6e41q.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openai-options.ts"],
+  "sourcesContent": [
+    "import { mergeProviderOptions, type ProviderOptions } from \"../schema/index.js\"\nimport type { OpenResponsesOptionsInput } from \"./open-responses-options.js\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\n\nexport type OpenAIOptionsInput = OpenResponsesOptionsInput\n\nexport type OpenAIProviderOptionsInput = OpenAIOptionsInput\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 result = Object.fromEntries(\n    definedEntries({\n      store: options?.store,\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(result).length === 0) return undefined\n  return result\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.js\"\n"
+  ],
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+}

bin/chunk-pa0d4jjs.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/gemini.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderMetadata,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\n\nconst ADAPTER = \"gemini\"\n// Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.\nconst SKIP_THOUGHT_SIGNATURE_VALIDATOR = \"skip_thought_signature_validator\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\n// Gemini 3 rejects replayed function calls without a thought signature. Google's SDKs avoid that in normal chats by\n// retaining complete model responses, but OpenCode reconstructs durable history and may encounter an unsigned call\n// from an older or external session. Model IDs are open-ended, so unknown Gemini aliases inherit current behavior.\nconst requiresThoughtSignatureFallback = (modelID: string) => {\n  if (!/(^|\\/)gemini-/i.test(modelID)) return false\n  if (/(^|\\/)gemini-(?:1|2)(?:[.-]|$)/i.test(modelID)) return false\n  if (/(^|\\/)gemini-pro(?:-vision)?$/i.test(modelID)) return false\n  return !/(^|\\/)gemini-robotics-er-1\\.5(?:[.-]|$)/i.test(modelID)\n}\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 = OptionsInput\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.optional(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  frequencyPenalty: Schema.optional(Schema.Number),\n  presencePenalty: Schema.optional(Schema.Number),\n  seed: 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  labels: Schema.optional(Schema.Record(Schema.String, Schema.String)),\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 GeminiPromptFeedback = Schema.StructWithRest(\n  Schema.Struct({\n    blockReason: Schema.optional(Schema.String),\n    blockReasonMessage: Schema.optional(Schema.String),\n    safetyRatings: Schema.optional(Schema.Unknown),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype GeminiPromptFeedback = Schema.Schema.Type<typeof GeminiPromptFeedback>\n\nconst GeminiEvent = Schema.Struct({\n  candidates: optionalArray(GeminiCandidate),\n  promptFeedback: Schema.optional(GeminiPromptFeedback),\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 promptFeedback?: GeminiPromptFeedback\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 root parameter schemas while preserving nested empty objects,\n//    expand type arrays into `anyOf`, derive `nullable: true` from null members,\n//    coerce `const` to `[const]` enum, recurse properties/items, and propagate\n//    only an allowlisted set of keys (description, required, format, type,\n//    nullable, enum, properties, items, allOf, anyOf, oneOf, minLength).\n//    Anything outside the allowlist (e.g. `additionalProperties`, `$ref`) is\n//    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 = ProviderShared.normalizeMedia(part)\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      // Gemini rejects a continuation whose function-response turn carries extra\n      // parts, so an update after a tool result starts its own user turn.\n      if (previous?.role === \"user\" && !previous.parts.some((item) => \"functionResponse\" in item))\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      // Parallel Gemini 3 calls may carry one signature on the first call; unsigned sibling calls are valid.\n      let hasSignedToolCall = false\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          const lowered = lowerToolCall(part)\n          const signature = lowered.thoughtSignature\n          parts.push({\n            ...lowered,\n            thoughtSignature:\n              signature ??\n              (requiresThoughtSignatureFallback(request.model.id) && !hasSignedToolCall\n                ? SKIP_THOUGHT_SIGNATURE_VALIDATOR\n                : undefined),\n          })\n          if (signature !== undefined) hasSignedToolCall = true\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 = ProviderShared.normalizeToolFile(item)\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\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    frequencyPenalty: generation?.frequencyPenalty,\n    presencePenalty: generation?.presencePenalty,\n    seed: generation?.seed,\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 === undefined) return hasToolCalls ? \"tool-calls\" : \"unknown\"\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  const promptBlockReason = state.finishReason === undefined ? state.promptFeedback?.blockReason : undefined\n  const finishReason = state.finishReason ?? promptBlockReason\n  if (finishReason === undefined && state.usage === undefined) return []\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:\n        promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : \"content-filter\",\n      raw: finishReason,\n    },\n    usage: state.usage,\n    providerMetadata:\n      state.promptFeedback === undefined ? undefined : googleMetadata({ promptFeedback: state.promptFeedback }),\n  })\n  return events\n}\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n  const nextState = {\n    ...state,\n    promptFeedback: event.promptFeedback ?? state.promptFeedback,\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 === undefined ? {} : 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 shared by Google AI Studio and 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.js\"\n"
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+}

bin/chunk-pbhcvs2k.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  env: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\", \"env\"] 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 === \"dev\" || channel === \"beta\" || channel === \"next\") return \"service.json\"\n  return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return 0xc0de\n  if (channel === \"local\") return 0xc0df\n  return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"local\") return\n  return `service-${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\" || key === \"env\") 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* (input: { readonly checkVersion?: boolean } = {}) {\n  const { file, legacyRegistrationFiles } = yield* paths\n  yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n  return {\n    file,\n    version: input.checkVersion ? OPENCODE_VERSION : undefined,\n    env: (yield* read()).env,\n    command: [\n      ...selfCommand(),\n      \"serve\",\n      \"--service\",\n    ],\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, name?: string) {\n  if (key === undefined) {\n    const { password: _password, ...safe } = yield* read()\n    return JSON.stringify(safe, null, 2)\n  }\n  const selected = configKey(key)\n  if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)\n  switch (selected) {\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    case \"env\": {\n      const env = (yield* read()).env ?? {}\n      return name === undefined ? JSON.stringify(env, null, 2) : (env[name] ?? \"\")\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, nestedValue?: string) {\n  const selected = configKey(key)\n  if (selected !== \"env\" && nestedValue !== undefined)\n    throw new Error(`Usage: opencode service set ${selected} <value>`)\n  switch (selected) {\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    case \"env\": {\n      if (nestedValue === undefined) throw new Error(\"Usage: opencode service set env <key> <value>\")\n      yield* Service.stop(yield* options())\n      const existing = yield* read()\n      yield* write({ ...existing, env: { ...existing.env, [value]: nestedValue } })\n      return\n    }\n  }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string, name?: string) {\n  const selected = configKey(key)\n  if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service unset ${selected}`)\n  switch (selected) {\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    case \"env\": {\n      if (name === undefined) throw new Error(\"Usage: opencode service unset env <key>\")\n      yield* Service.stop(yield* options())\n      const existing = yield* read()\n      const { [name]: _removed, ...env } = existing.env ?? {}\n      const { env: _existingEnv, ...rest } = existing\n      yield* write(Object.keys(env).length === 0 ? rest : { ...rest, env })\n      return\n    }\n  }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n"
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+  "debugId": "C93F6BB35749EC2A64756E2164756E21",
+  "names": []
+}

bin/chunk-ph2h1xvw.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/lifecycle.ts", "../ai/src/protocols/utils/gemini-tool-schema.ts", "../ai/src/protocols/utils/tool-schema.ts"],
+  "sourcesContent": [
+    "import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from \"../../schema/index.js\"\n\nexport interface State {\n  readonly stepStarted: boolean\n  readonly text: ReadonlySet<string>\n  readonly reasoning: ReadonlySet<string>\n}\n\nexport const initial = (): State => ({ stepStarted: false, text: new Set(), reasoning: new Set() })\n\nexport const stepStart = (state: State, events: LLMEvent[]): State => {\n  if (state.stepStarted) return state\n  events.push(LLMEvent.stepStart({ index: 0 }))\n  return { ...state, stepStarted: true }\n}\n\nexport const textStart = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n  if (state.text.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.textStart({ id, providerMetadata }))\n  return { ...stepped, text: new Set([...stepped.text, id]) }\n}\n\nexport const textDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {\n  const started = textStart(state, events, id)\n  events.push(LLMEvent.textDelta({ id, text }))\n  return started\n}\n\nexport const reasoningStart = (\n  state: State,\n  events: LLMEvent[],\n  id: string,\n  providerMetadata?: ProviderMetadata,\n): State => {\n  if (state.reasoning.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.reasoningStart({ id, providerMetadata }))\n  return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }\n}\n\nexport const reasoningDelta = (\n  state: State,\n  events: LLMEvent[],\n  id: string,\n  text: string,\n  providerMetadata?: ProviderMetadata,\n): State => {\n  const started = reasoningStart(state, events, id, providerMetadata)\n  events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))\n  return started\n}\n\nexport const reasoningEnd = (\n  state: State,\n  events: LLMEvent[],\n  id: string,\n  providerMetadata?: ProviderMetadata,\n): State => {\n  if (!state.reasoning.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.reasoningEnd({ id, providerMetadata }))\n  const reasoning = new Set(stepped.reasoning)\n  reasoning.delete(id)\n  return { ...stepped, reasoning }\n}\n\nexport const textEnd = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n  if (!state.text.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.textEnd({ id, providerMetadata }))\n  const text = new Set(stepped.text)\n  text.delete(id)\n  return { ...stepped, text }\n}\n\nconst closeOpenBlocks = (state: State, events: LLMEvent[]): State => {\n  for (const id of state.reasoning) events.push(LLMEvent.reasoningEnd({ id }))\n  for (const id of state.text) events.push(LLMEvent.textEnd({ id }))\n  return { ...state, text: new Set(), reasoning: new Set() }\n}\n\nexport const finish = (\n  state: State,\n  events: LLMEvent[],\n  input: {\n    readonly reason: FinishReasonDetails\n    readonly usage?: Usage\n    readonly providerMetadata?: ProviderMetadata\n  },\n): State => {\n  const stepped = closeOpenBlocks(stepStart(state, events), events)\n  events.push(\n    LLMEvent.stepFinish({\n      index: 0,\n      reason: input.reason,\n      usage: input.usage,\n      providerMetadata: input.providerMetadata,\n    }),\n    LLMEvent.finish(input),\n  )\n  return { ...stepped, stepStarted: false }\n}\n\nexport * as Lifecycle from \"./lifecycle.js\"\n",
+    "import { isRecord } from \"../../utils/record.js\"\n\n// Gemini accepts a JSON Schema-like dialect for tool parameters, but rejects a\n// handful of common JSON Schema shapes. Keep this projection isolated so the\n// Gemini protocol file still reads like the other protocol modules.\nconst SCHEMA_INTENT_KEYS = [\n  \"type\",\n  \"properties\",\n  \"items\",\n  \"prefixItems\",\n  \"enum\",\n  \"const\",\n  \"$ref\",\n  \"additionalProperties\",\n  \"patternProperties\",\n  \"required\",\n  \"not\",\n  \"if\",\n  \"then\",\n  \"else\",\n]\n\nconst hasCombiner = (schema: unknown) =>\n  isRecord(schema) && (Array.isArray(schema.anyOf) || Array.isArray(schema.oneOf) || Array.isArray(schema.allOf))\n\nconst hasSchemaIntent = (schema: unknown) =>\n  isRecord(schema) && (hasCombiner(schema) || SCHEMA_INTENT_KEYS.some((key) => key in schema))\n\nconst sanitizeNode = (schema: unknown): unknown => {\n  if (!isRecord(schema)) return Array.isArray(schema) ? schema.map(sanitizeNode) : schema\n\n  const result: Record<string, unknown> = Object.fromEntries(\n    Object.entries(schema).map(([key, value]) => [\n      key,\n      key === \"enum\" && Array.isArray(value) ? value.map(String) : sanitizeNode(value),\n    ]),\n  )\n\n  if (Array.isArray(result.enum) && (result.type === \"integer\" || result.type === \"number\")) result.type = \"string\"\n\n  const properties = result.properties\n  if (result.type === \"object\" && isRecord(properties) && Array.isArray(result.required)) {\n    result.required = result.required.filter((field) => typeof field === \"string\" && field in properties)\n  }\n\n  if (result.type === \"array\" && !hasCombiner(result)) {\n    result.items = result.items ?? {}\n    if (isRecord(result.items) && !hasSchemaIntent(result.items)) result.items = { ...result.items, type: \"string\" }\n  }\n\n  if (typeof result.type === \"string\" && result.type !== \"object\" && !hasCombiner(result)) {\n    delete result.properties\n    delete result.required\n  }\n\n  return result\n}\n\nconst emptyObjectSchema = (schema: Record<string, unknown>) =>\n  schema.type === \"object\" &&\n  (!isRecord(schema.properties) || Object.keys(schema.properties).length === 0) &&\n  !schema.additionalProperties\n\nconst projectNode = (schema: unknown, nested = false): Record<string, unknown> | undefined => {\n  if (!isRecord(schema)) return undefined\n  if (!nested && emptyObjectSchema(schema)) return undefined\n  const types = Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\") : undefined\n  const anyOf = Array.isArray(schema.anyOf) ? schema.anyOf : undefined\n  const hasNullAnyOf = anyOf?.some((item) => isRecord(item) && item.type === \"null\") ?? false\n  const anyOfTypes = hasNullAnyOf ? anyOf?.filter((item) => !isRecord(item) || item.type !== \"null\") : anyOf\n  const flattenedAnyOf = hasNullAnyOf && anyOfTypes?.length === 1 ? projectNode(anyOfTypes[0], true) : undefined\n  const result = Object.fromEntries(\n    [\n      [\"description\", schema.description],\n      [\"required\", schema.required],\n      [\"format\", schema.format],\n      [\"type\", types ? (types.length === 0 ? \"null\" : undefined) : schema.type],\n      [\n        \"nullable\",\n        (Array.isArray(schema.type) && schema.type.includes(\"null\") && types && types.length > 0) || hasNullAnyOf\n          ? true\n          : undefined,\n      ],\n      [\"enum\", schema.const !== undefined ? [schema.const] : schema.enum],\n      [\n        \"properties\",\n        isRecord(schema.properties)\n          ? Object.fromEntries(Object.entries(schema.properties).map(([key, value]) => [key, projectNode(value, true)]))\n          : undefined,\n      ],\n      [\n        \"items\",\n        Array.isArray(schema.items)\n          ? schema.items.map((item) => projectNode(item, true))\n          : schema.items === undefined\n            ? undefined\n            : projectNode(schema.items, true),\n      ],\n      [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map((item) => projectNode(item, true)) : undefined],\n      [\n        \"anyOf\",\n        anyOfTypes\n          ? hasNullAnyOf && anyOfTypes.length === 1\n            ? undefined\n            : anyOfTypes.map((item) => projectNode(item, true))\n          : types && types.length > 0\n            ? types.map((type) => ({ type }))\n            : undefined,\n      ],\n      [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map((item) => projectNode(item, true)) : undefined],\n      [\"minLength\", schema.minLength],\n    ].filter((entry) => entry[1] !== undefined),\n  )\n  return flattenedAnyOf ? { ...result, ...flattenedAnyOf } : result\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema.js\"\n",
+    "import type { JsonSchema, LanguageModelToolSchemaCompatibility } from \"../../schema/index.js\"\nimport { isRecord } from \"../../utils/record.js\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema.js\"\n\nconst removeNullSchemas = (value: unknown): unknown => {\n  if (Array.isArray(value)) return value.map(removeNullSchemas)\n  if (!isRecord(value)) return value\n  const fields = Object.fromEntries(\n    Object.entries(value)\n      .filter(([key]) => key !== \"anyOf\")\n      .map(([key, field]) => [key, removeNullSchemas(field)]),\n  )\n  if (!Array.isArray(value.anyOf)) return fields\n  const variants = value.anyOf.filter((variant) => !isRecord(variant) || variant.type !== \"null\").map(removeNullSchemas)\n  if (variants.length === 1 && isRecord(variants[0])) return { ...fields, ...variants[0] }\n  return { ...fields, anyOf: variants }\n}\n\nconst tupleItemsSchema = (items: ReadonlyArray<unknown>) => {\n  const projected = items.map(moonshotNode)\n  if (projected.length === 0) return {}\n  if (projected.length === 1) return projected[0]\n  return { anyOf: projected }\n}\n\nconst moonshotNode = (schema: unknown): unknown => {\n  if (Array.isArray(schema)) return schema.map(moonshotNode)\n  if (!isRecord(schema)) return schema\n  if (typeof schema.$ref === \"string\") return { $ref: schema.$ref }\n  return Object.fromEntries(\n    Object.entries(schema).flatMap(([key, value]) => {\n      if (key === \"items\" && Array.isArray(value)) return [[key, tupleItemsSchema(value)]]\n      if (key === \"prefixItems\") {\n        if (\"items\" in schema) return []\n        return [[\"items\", tupleItemsSchema(Array.isArray(value) ? value : [])]]\n      }\n      if (key === \"unevaluatedItems\") return []\n      return [[key, moonshotNode(value)]]\n    }),\n  )\n}\n\nconst moonshot = (schema: JsonSchema): JsonSchema => {\n  const projected = moonshotNode(schema)\n  return isRecord(projected) ? projected : {}\n}\n\nconst openAI = (schema: JsonSchema): JsonSchema => {\n  const variants = Array.isArray(schema.anyOf) ? schema.anyOf.filter(isRecord) : []\n  const flattened =\n    variants.length === 0\n      ? { ...schema, type: \"object\" }\n      : {\n          ...Object.fromEntries(Object.entries(schema).filter(([key]) => key !== \"anyOf\")),\n          type: \"object\",\n          properties: variants.reduce(\n            (properties, variant) => ({ ...(isRecord(variant.properties) ? variant.properties : {}), ...properties }),\n            {},\n          ),\n          additionalProperties: false,\n        }\n  const normalized = removeNullSchemas(flattened)\n  return isRecord(normalized) ? normalized : { type: \"object\" }\n}\n\nconst responses = openAI\n\nconst gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n  schema: JsonSchema,\n  compatibility: LanguageModelToolSchemaCompatibility | undefined,\n): JsonSchema => {\n  if (compatibility === undefined) return schema\n  switch (compatibility) {\n    case \"gemini\":\n      return gemini(schema)\n    case \"moonshot\":\n      return moonshot(schema)\n  }\n}\n\nexport const ToolSchemaProjection = {\n  gemini,\n  modelCompatibility,\n  moonshot,\n  openAI,\n  responses,\n} as const\n"
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bin/chunk-rvvjqef9.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/image-input.ts"],
+  "sourcesContent": [
+    "import { Effect, Encoding } from \"effect\"\nimport type { ImageInput } from \"../../image.js\"\nimport { InvalidRequestReason, AIError } from \"../../schema/index.js\"\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-ryjeyaka.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/auth/shared.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { OpenCode, type IntegrationInfo, type IntegrationMethod, type OpenCodeClient } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../../services/server-connection\"\n\nexport const location = { directory: process.cwd() }\n\nexport const createClient = Effect.fn(\"cli.auth.client\")(function* (input: ServerConnection.Args) {\n  const server = yield* ServerConnection.resolve(input)\n  return OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n})\n\nexport function request<A>(run: (signal: AbortSignal) => Promise<A>) {\n  return Effect.tryPromise({ try: run, catch: (cause) => cause })\n}\n\nexport const loadIntegrations = Effect.fn(\"cli.auth.integrations\")(function* (client: OpenCodeClient) {\n  // The model endpoint is the existing public readiness boundary for the initial plugin generation.\n  yield* request((signal) => client.model.default({ location }, { signal }))\n  return yield* request((signal) => client.integration.list({ location }, { signal })).pipe(\n    Effect.map((response) => response.data),\n  )\n})\n\nexport const resolveIntegration = Effect.fn(\"cli.auth.resolve-integration\")(function* (\n  integrations: IntegrationInfo[],\n  target: string,\n) {\n  const normalized = target.replace(/\\/+$/, \"\")\n  const byID = integrations.find((integration) => integration.id === normalized)\n  if (byID) return byID\n  const matches = integrations.filter((integration) => integration.name.toLowerCase() === normalized.toLowerCase())\n  if (matches.length === 1) return matches[0]\n  if (matches.length > 1) {\n    return yield* Effect.fail(\n      new Error(\n        `Integration name \"${target}\" is ambiguous: ${matches.map((integration) => integration.id).join(\", \")}`,\n      ),\n    )\n  }\n  return yield* Effect.fail(new Error(`Integration not found: ${target}`))\n})\n\nexport type ConnectMethod = Exclude<IntegrationMethod, { type: \"env\" }>\n\nexport function connectMethods(integration: IntegrationInfo) {\n  return integration.methods\n    .filter((method): method is ConnectMethod => method.type !== \"env\")\n    .toSorted((a, b) => Number(a.type === \"key\") - Number(b.type === \"key\"))\n}\n\nexport const resolveMethod = Effect.fn(\"cli.auth.resolve-method\")(function* (methods: ConnectMethod[], target: string) {\n  const normalized = target.toLowerCase()\n  const matches = methods.filter((method) => {\n    if (method.type === \"key\") return normalized === \"key\" || method.label?.toLowerCase() === normalized\n    return method.id === target || method.label.toLowerCase() === normalized\n  })\n  if (matches.length === 1) return matches[0]\n  if (matches.length > 1) return yield* Effect.fail(new Error(`Authentication method \"${target}\" is ambiguous`))\n  const available = methods.map((method) => (method.type === \"key\" ? \"key\" : method.id)).join(\", \")\n  return yield* Effect.fail(\n    new Error(`Authentication method not found: ${target}${available ? `. Available: ${available}` : \"\"}`),\n  )\n})\n"
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bin/chunk-sktbam0z.js.map

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+  "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": "39BBAE9AAA8FD6A264756E2164756E21",
+  "names": []
+}

bin/chunk-t8hrdvjb.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": "EC0C90DF21EC517764756E2164756E21",
+  "names": []
+}

bin/chunk-v6qvd7bn.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": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,MACnC,EAAO,GAAG,mBAAmB,EAAE,SAAU,EAAG,CAC1C,IAAM,EAAY,MAAO,EAAQ,OAAO,MAAO,EAAc,QAAQ,CAAC,EACtE,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
+  "debugId": "8B75BC5F9789FA7764756E2164756E21",
+  "names": []
+}

bin/chunk-vbhxqvcn.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      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 \"failed\":\n      return `failed: ${status.error}`\n    default:\n      return status.status\n  }\n}\n"
+  ],
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+  "debugId": "1375F38F2881569264756E2164756E21",
+  "names": []
+}

bin/chunk-wknb24k3.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/index.js\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared.js\"\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.js\"\n"
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+  "debugId": "0D9EA938EB8B8DE164756E2164756E21",
+  "names": []
+}

bin/chunk-wvesztnj.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/google-vertex-messages.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema, Struct } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nconst VERSION = \"vertex-2023-10-16\" as const\nconst HEADER_VERSION = \"2023-06-01\" as const\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.OAuthOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly accessToken?: string\n  readonly apiKey?: never\n  readonly baseURL?: string\n  readonly location?: string\n  readonly project?: string\n  readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n}\n\nconst route = Route.make({\n  id: \"google-vertex-messages\",\n  provider: id,\n  providerMetadataKey: \"anthropic\",\n  protocol: Protocol.make({\n    id: AnthropicMessages.protocol.id,\n    body: {\n      schema: Schema.Struct({\n        ...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, [\"model\"]),\n        anthropic_version: Schema.Literal(VERSION),\n      }),\n      from: (request) =>\n        AnthropicMessages.protocol.body.from(request).pipe(\n          Effect.map((body) => ({\n            ...Struct.omit(body, [\"model\"]),\n            anthropic_version: VERSION,\n          })),\n        ),\n    },\n    stream: AnthropicMessages.protocol.stream,\n  }),\n  endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),\n  auth: Auth.none,\n  framing: AnthropicMessages.framing,\n  headers: () => ({ \"anthropic-version\": HEADER_VERSION }),\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n  if (\"apiKey\" in input && input.apiKey !== undefined)\n    throw new Error(\"Google Vertex Messages does not support API keys\")\n  const {\n    accessToken: _accessToken,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const location = GoogleVertexShared.location(inputLocation, \"global\")\n  const project = GoogleVertexShared.project(inputProject)\n  return route.with({\n    ...rest,\n    endpoint: {\n      baseURL:\n        baseURL ??\n        `https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,\n    },\n    auth: GoogleVertexShared.oauth(input, project),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\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) throw new Error(\"Google Vertex Messages does not support API keys\")\n  return configure({\n    accessToken: settings.accessToken,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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bin/chunk-x4heg08s.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/bedrock-event-stream.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.js\"\nimport { ProviderShared } from \"./shared.js\"\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.js\"\n",
+    "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema/index.js\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache.js\"\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.\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// Callers pass a shared counter through every `block()` call site so the\n// four-breakpoint budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache.js\"\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.js\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema/index.js\"\nimport { ProviderShared } from \"../shared.js\"\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 = ProviderShared.normalizeMedia(part)\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 = ProviderShared.normalizeMedia(part)\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.js\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\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/index.js\"\nimport { BedrockEventStream } from \"./bedrock-event-stream.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { BedrockAuth } from \"./utils/bedrock-auth.js\"\nimport { BedrockCache } from \"./utils/bedrock-cache.js\"\nimport { BedrockMedia } from \"./utils/bedrock-media.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth.js\"\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      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 === \"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    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  }\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.js\"\n",
+    "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse.js\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse.js\"\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    region: settings.region,\n  }).model(modelID)\n}\n"
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+  "debugId": "5A8CAEEE6913770C64756E2164756E21",
+  "names": []
+}

bin/chunk-xzvcmy4s.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": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,OACnC,EAAO,GAAG,oBAAoB,EAAE,SAAU,EAAG,CAC3C,IAAM,EAAU,MAAO,EAAc,QAAQ,EACvC,EAAQ,MAAO,EAAQ,SAAS,IAAK,EAAS,QAAS,MAAU,CAAC,EACxE,QAAQ,OAAO,OAAO,GAAO,KAAO,WAAa,CAAG,EACrD,CACH",
+  "debugId": "CDAFBE7661FCD75864756E2164756E21",
+  "names": []
+}

bin/chunk-y3csdejh.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, 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": ";u9BAAA,cAAS,WAcT,IAAM,EAAW,CAAE,UAAW,QAAQ,IAAI,CAAE,EAE7B,IAAQ,QACrB,EAAS,SAAS,IAAI,SAAS,KAC/B,EAAO,GAAG,cAAc,EAAE,SAAU,CAAC,EAAO,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,UAAS,CAAC,CACnG,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": "DD028559ED63FE4264756E2164756E21",
+  "names": []
+}

bin/chunk-ydtx9ktb.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.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\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 ProviderMetadata,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport * as Cache from \"./utils/cache.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"anthropic-messages\"\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\nexport const DEFAULT_MAX_TOKENS = 32_000\n\nconst SSE_EVENTS = new Set([\n  \"message\",\n  \"message_start\",\n  \"message_delta\",\n  \"message_stop\",\n  \"content_block_start\",\n  \"content_block_delta\",\n  \"content_block_stop\",\n  \"error\",\n])\nexport const framing = Framing.sseEvents(SSE_EVENTS)\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 = OptionsInput\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: optionalNull(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 scrubToolCallID = (id: string) => id.replace(/[^a-zA-Z0-9_-]/g, \"_\")\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n  type: \"tool_use\",\n  id: scrubToolCallID(part.id),\n  name: part.name,\n  input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n  type: \"server_tool_use\",\n  id: scrubToolCallID(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: scrubToolCallID(part.id), content: payload } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerMedia = Effect.fn(\"AnthropicMessages.lowerMedia\")(function* (part: MediaPart) {\n  const media = ProviderShared.normalizeMedia(part)\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  if (!media.mime.startsWith(\"image/\"))\n    return yield* invalid(`Anthropic Messages does not support media type ${part.mediaType}`)\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.fnUntraced(function* (item: Tool.Content) {\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.fnUntraced(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 became available with Opus 4.8 and version\n// 5 of the other supported Claude families. Treat later family versions as\n// compatible without assuming that every Anthropic Messages model is Claude.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => {\n  const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\\d+)(?:[.-](\\d+))?/.exec(\n    String(request.model.id).toLowerCase(),\n  )\n  if (!match) return false\n  const major = Number(match[2])\n  if (match[1] !== \"opus\") return major >= 5\n  if (major !== 4) return major >= 5\n  return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8\n}\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: scrubToolCallID(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    const previous = messages.at(-1)\n    if (previous?.role === \"user\" && previous.content.every((block) => block.type === \"tool_result\"))\n      messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n    else 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\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  // 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 ?? DEFAULT_MAX_TOKENS,\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 ?? undefined\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    if (!state.tools[event.index]) 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 = Effect.fn(\"AnthropicMessages.onMessageStop\")(function* (state: ParserState) {\n  const result = yield* ToolStream.finishAll(ADAPTER, state.tools)\n  const events: LLMEvent[] = []\n  const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n  events.push(...result.events)\n  const finished = Lifecycle.finish(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: finished, tools: result.tools }, events] satisfies StepResult\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 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 shared by Anthropic-compatible and\n * Vertex-hosted Messages routes.\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,\n  headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages.js\"\n"
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+  "debugId": "01800F52E9A8E8F064756E2164756E21",
+  "names": []
+}

bin/chunk-z3v1dvf0.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/export.ts"],
+  "sourcesContent": [
+    "import { autocomplete, cancel, intro, isCancel, log, outro } from \"@clack/prompts\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../ui/prompt\"\n\nexport default Runtime.handler(\n  Commands.commands.export,\n  Effect.fn(\"cli.export\")((input) =>\n    Effect.gen(function* () {\n      const requested = Option.getOrUndefined(input.session)\n      if (!requested && !process.stdin.isTTY) {\n        yield* Effect.fail(new Error(\"Pass a session ID when running without an interactive terminal\"))\n      }\n      const server = yield* ServerConnection.resolve({\n        server: Option.getOrUndefined(input.server),\n        standalone: input.standalone,\n      })\n      const client = OpenCode.make({\n        baseUrl: server.endpoint.url,\n        headers: Service.headers(server.endpoint),\n      })\n      const sessionID = requested\n        ? requested\n        : yield* Effect.gen(function* () {\n            intro(\"Export session\", { output: process.stderr })\n            const location = yield* Effect.tryPromise({\n              try: () => client.location.get({ location: { directory: process.cwd() } }),\n              catch: (cause) => cause,\n            })\n            const page = yield* Effect.tryPromise({\n              try: () =>\n                client.session.list({\n                  directory: location.directory,\n                  workspace: location.workspaceID,\n                  parentID: null,\n                  order: \"desc\",\n                  limit: 50,\n                }),\n              catch: (cause) => cause,\n            })\n            if (page.data.length === 0) {\n              log.error(\"No sessions found\", { output: process.stderr })\n              outro(\"Done\", { output: process.stderr })\n              return undefined\n            }\n            const selected = yield* Effect.tryPromise({\n              try: () =>\n                autocomplete({\n                  message: \"Select session to export\",\n                  maxItems: 10,\n                  options: page.data.map((session) => ({\n                    label: session.title,\n                    value: session.id,\n                    hint: `${new Date(session.time.updated).toLocaleString()} - ${session.id.slice(-8)}`,\n                  })),\n                  output: process.stderr,\n                }),\n              catch: (cause) => cause,\n            })\n            if (isCancel(selected)) {\n              cancel(\"Cancelled\", { output: process.stderr })\n              process.exitCode = 130\n              return undefined\n            }\n            outro(\"Exporting session...\", { output: process.stderr })\n            return selected\n          })\n      if (!sessionID) return\n      const data = yield* Effect.tryPromise({\n        try: () => client.session.export({ sessionID, sanitize: input.sanitize }),\n        catch: (cause) => cause,\n      })\n      process.stdout.write(JSON.stringify(data, null, 2) + EOL)\n    }).pipe(\n      Effect.catch((error) =>\n        Effect.sync(() => {\n          process.stderr.write(errorMessage(error) + EOL)\n          process.exitCode = 1\n        }),\n      ),\n    ),\n  ),\n)\n"
+  ],
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+  "debugId": "0594932C512C104C64756E2164756E21",
+  "names": []
+}

bin/chunk-z5ycgp7e.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/debug/config.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"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.debug.commands.config,\n  Effect.fn(\"cli.debug.config\")(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 entries = yield* Effect.promise(() => client.config.get({ location: { directory: process.cwd() } }))\n    process.stdout.write(JSON.stringify(entries, null, 2) + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";m6BAAA,cAAS,WAQT,IAAe,IAAQ,QACrB,EAAS,SAAS,MAAM,SAAS,OACjC,EAAO,GAAG,kBAAkB,EAAE,SAAU,EAAG,CACzC,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,EACpF,EAAU,MAAO,EAAO,QAAQ,IAAM,EAAO,OAAO,IAAI,CAAE,SAAU,CAAE,UAAW,QAAQ,IAAI,CAAE,CAAE,CAAC,CAAC,EACzG,QAAQ,OAAO,MAAM,KAAK,UAAU,EAAS,KAAM,CAAC,EAAI,CAAG,EAC5D,CACH",
+  "debugId": "55D3CA4CB8F134AC64756E2164756E21",
+  "names": []
+}

bin/chunk-zcbyk6e5.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": ";+2BAMA,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,KACnC,EAAO,GAAG,kBAAkB,EAAE,SAAU,EAAG,CACzC,MAAO,EAAQ,KAAK,MAAO,EAAc,QAAQ,CAAC,EACnD,CACH",
+  "debugId": "D29D90A96BD741BB64756E2164756E21",
+  "names": []
+}

bin/chunk-zw4b6edm.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/bedrock-auth.ts"],
+  "sourcesContent": [
+    "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth.js\"\nimport { ProviderShared } from \"../shared.js\"\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  readonly service: string\n  readonly name: string\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: input.service,\n      }).sign()\n      return Object.fromEntries(signed.headers.entries())\n    },\n    catch: (error) =>\n      ProviderShared.invalidRequest(\n        `${input.name} SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n      ),\n  })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (\n  credentials: Credentials | undefined,\n  options: { readonly service?: string; readonly name?: string } = {},\n) =>\n  Auth.custom((input: AuthInput) => {\n    return Effect.gen(function* () {\n      if (!credentials) {\n        return yield* ProviderShared.invalidRequest(\n          `${options.name ?? \"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        service: options.service ?? \"bedrock\",\n        name: options.name ?? \"Bedrock Converse\",\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.js\"\n"
+  ],
+  "mappings": ";qUAmBA,IAAM,EAAc,CAAC,IAQnB,EAAO,WAAW,CAChB,IAAK,SAAY,CACf,IAAM,EAAS,MAAM,IAAI,EAAY,CACnC,IAAK,EAAM,IACX,OAAQ,OACR,QAAS,OAAO,QAAQ,EAAM,OAAO,EACrC,KAAM,EAAM,KACZ,OAAQ,EAAM,YAAY,OAC1B,YAAa,EAAM,YAAY,YAC/B,gBAAiB,EAAM,YAAY,gBACnC,aAAc,EAAM,YAAY,aAChC,QAAS,EAAM,OACjB,CAAC,EAAE,KAAK,EACR,OAAO,OAAO,YAAY,EAAO,QAAQ,QAAQ,CAAC,GAEpD,MAAO,CAAC,IACN,EAAe,eACb,GAAG,EAAM,8BAA8B,aAAiB,MAAQ,EAAM,QAAU,OAAO,CAAK,GAC9F,CACJ,CAAC,EAGU,EAAQ,CACnB,EACA,EAAiE,CAAC,IAElE,EAAK,OAAO,CAAC,IACJ,EAAO,IAAI,SAAU,EAAG,CAC7B,GAAI,CAAC,EACH,OAAO,MAAO,EAAe,eAC3B,GAAG,EAAQ,MAAQ,iGACrB,EAEF,IAAM,EAAoB,EAAQ,IAAI,EAAM,QAAS,eAAgB,kBAAkB,EACjF,EAAS,MAAO,EAAY,CAChC,IAAK,EAAM,IACX,KAAM,EAAM,KACZ,QAAS,EACT,cACA,QAAS,EAAQ,SAAW,UAC5B,KAAM,EAAQ,MAAQ,kBACxB,CAAC,EACD,OAAO,EAAQ,OAAO,EAAmB,CAAM,EAChD,CACF,EAGU,EAAO,EAAM,MAAS",
+  "debugId": "738B939FAF0ADA8A64756E2164756E21",
+  "names": []
+}

package.json

 {
   "name": "@opencode-ai/cli-linux-x64-baseline",
-  "version": "0.0.0-dev-17782",
+  "version": "0.0.0-dev-17785",
   "license": "MIT",
@@ -5,0 +5,0 @@ "repository": {

bin/chunk-10pyw6kd.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/openai-compatible-chat.ts"],
-  "sourcesContent": [
-    "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport * as OpenAIChat from \"./openai-chat.js\"\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.js\"\n"
-  ],
-  "mappings": ";mOAKA,IAAM,EAAU,yBAWH,EAAQ,EAAM,KAAK,CAC9B,GAAI,EACJ,oBAAqB,SACrB,SAAqB,EACrB,SAAU,EAAS,KAAK,mBAAmB,EAC3C,QAAS,EAAQ,GACnB,CAAC",
-  "debugId": "D97AED9A309809E464756E2164756E21",
-  "names": []
-}

bin/chunk-15xaja2j.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "A3931305A97396FD64756E2164756E21",
-  "names": []
-}

bin/chunk-161h0mqp.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "530167B1DF4586B064756E2164756E21",
-  "names": []
-}

bin/chunk-241943km.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.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared, optionalNull } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\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.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpOptions, ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { XAIImages } from \"../protocols/xai-images.js\"\nimport type { OpenAIOptionsInput } from \"./openai-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = OpenAIOptionsInput\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.js\"\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: { 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  headers: ({ request }): Record<string, string> =>\n    request.promptCacheKey ? { \"x-grok-conv-id\": request.promptCacheKey } : {},\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    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-38mbd12k.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/google-vertex.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderID, type LLMRequest, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport interface GeminiOptionsInput extends Gemini.OptionsInput {\n  readonly labels?: Readonly<Record<string, string>>\n}\n\nexport type GeminiProviderOptionsInput = GeminiOptionsInput\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.ApiKeyOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: GeminiProviderOptionsInput\n  }\n\nexport type Settings = ProviderPackage.Settings &\n  (\n    | { readonly accessToken?: string; readonly apiKey?: never }\n    | { readonly accessToken?: never; readonly apiKey?: string }\n  ) & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: GeminiProviderOptionsInput\n  }\n\nconst fromRequest = Effect.fn(\"GoogleVertex.fromRequest\")(function* (request: LLMRequest) {\n  const body = yield* Gemini.protocol.body.from(request)\n  const value = request.providerOptions?.labels\n  const labels = ProviderShared.isRecord(value)\n    ? Object.fromEntries(\n        Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === \"string\"),\n      )\n    : undefined\n  return { ...body, labels }\n})\n\nconst protocol = {\n  ...Gemini.protocol,\n  body: {\n    ...Gemini.protocol.body,\n    from: fromRequest,\n  },\n}\n\nconst route = Route.make({\n  id: \"google-vertex-gemini\",\n  provider: id,\n  providerMetadataKey: \"google\",\n  protocol,\n  endpoint: Endpoint.path(({ request }) => {\n    const model = String(request.model.id)\n    return `/${model.startsWith(\"endpoints/\") ? model : `models/${model}`}:streamGenerateContent?alt=sse`\n  }),\n  auth: Auth.none,\n  framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config, modelID: string | ModelID) => {\n  const {\n    accessToken: _accessToken,\n    apiKey: _apiKey,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const apiKey = GoogleVertexShared.apiKey(input)\n  const endpointModel = String(modelID).startsWith(\"endpoints/\")\n  if (apiKey !== undefined && endpointModel)\n    throw new Error(\"Google Vertex tuned models do not support Express Mode API keys\")\n  const location = GoogleVertexShared.location(inputLocation, \"us-central1\")\n  const project = GoogleVertexShared.project(inputProject)\n  const endpoint =\n    baseURL ??\n    (apiKey\n      ? \"https://aiplatform.googleapis.com/v1/publishers/google\"\n      : `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? \"\" : \"/publishers/google\"}`)\n  return route.with({\n    ...rest,\n    endpoint: { baseURL: endpoint },\n    auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header(\"x-goog-api-key\", apiKey),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  return {\n    id,\n    model: (modelID: string | ModelID) =>\n      configuredRoute(input, modelID).model<GeminiProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\nexport const model: ProviderPackage.Definition<Settings, GeminiProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined && settings.accessToken !== undefined)\n    throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n  return configure({\n    ...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { 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    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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-{
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bin/chunk-5ke3jggq.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/import.ts"],
-  "sourcesContent": [
-    "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Session } from \"@opencode-ai/schema/session\"\nimport { SessionTransfer } from \"@opencode-ai/schema/session-transfer\"\nimport { Effect, Option, Schema } from \"effect\"\nimport { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n  Commands.commands.import,\n  Effect.fn(\"cli.import\")(function* (input) {\n    const text = yield* Effect.tryPromise({\n      try: () =>\n        input.file.startsWith(\"http://\") || input.file.startsWith(\"https://\")\n          ? fetch(input.file).then((response) => {\n              if (!response.ok) throw new Error(`Failed to fetch session data: ${response.statusText}`)\n              return response.text()\n            })\n          : Bun.file(input.file).text(),\n      catch: (cause) =>\n        new Error(`Failed to read session data: ${cause instanceof Error ? cause.message : String(cause)}`),\n    })\n    const data = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(SessionTransfer.Data))(text)\n    const encoded = Schema.encodeSync(SessionTransfer.Data)(data)\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    })\n    const client = OpenCode.make({\n      baseUrl: server.endpoint.url,\n      headers: Service.headers(server.endpoint),\n    })\n    const location = yield* Effect.promise(() =>\n      client.location.get({\n        location: { directory: path.resolve(Option.getOrElse(input.directory, () => process.cwd())) },\n      }),\n    )\n    const response = yield* Effect.promise(() =>\n      fetch(new URL(\"/api/session/import\", server.endpoint.url), {\n        method: \"POST\",\n        headers: { ...Service.headers(server.endpoint), \"content-type\": \"application/json\" },\n        body: JSON.stringify({\n          ...encoded,\n          location: { directory: location.directory, workspaceID: location.workspaceID },\n        }),\n      }),\n    )\n    if (response.status === 409) {\n      process.stderr.write(`Session already exists${EOL}`)\n      return\n    }\n    if (!response.ok) yield* Effect.fail(new Error(`Failed to import session: ${response.statusText}`))\n    const imported = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Schema.Struct({ data: Session.Info })))(\n      yield* Effect.promise(() => response.text()),\n    )\n    process.stdout.write(`Imported session: ${imported.data.id}${EOL}`)\n  }),\n)\n"
-  ],
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-  "debugId": "86107E04F287B1DE64756E2164756E21",
-  "names": []
-}

bin/chunk-5mrp8fpv.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\"\nimport { Global } from \"@opencode-ai/util/global\"\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({\n      server: serverURL,\n      standalone: input.standalone,\n      mismatch: \"replace\",\n    })\n    const config = yield* Config.Service\n    const global = yield* Global.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        paths: { home: global.home, state: global.state, log: global.log },\n      }),\n    )\n  }),\n)\n"
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-  "debugId": "E8FAB7796DCE11A964756E2164756E21",
-  "names": []
-}

bin/chunk-5zwtntvs.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"
-  ],
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-  "debugId": "D29D90A96BD741BB64756E2164756E21",
-  "names": []
-}

bin/chunk-6b9pnkc3.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/index.js\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared.js\"\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.js\"\n"
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-  "debugId": "0D9EA938EB8B8DE164756E2164756E21",
-  "names": []
-}

bin/chunk-71t5njze.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/plugin/list.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type PluginInfo } 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\"\nimport { Config } from \"../../../config\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { discoverTuiPlugins, tuiPluginDirectories } from \"@opencode-ai/tui/plugin/discovery\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.list,\n  Effect.fn(\"cli.plugin.list\")(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    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n    const config = yield* Config.Service\n    const global = yield* Global.Service\n    const info = yield* config.get()\n    const discovered = yield* Effect.promise(() =>\n      tuiPluginDirectories(process.cwd(), global.config).then(discoverTuiPlugins),\n    )\n    const output = format(\n      response.data,\n      [\n        ...(info.plugins ?? []).flatMap((entry) => {\n          const target = typeof entry === \"string\" ? entry : entry.package\n          return target.startsWith(\"-\") ? [] : [{ target, source: \"configured\" as const }]\n        }),\n        ...discovered.map((target) => ({ target, source: \"discovered\" as const })),\n      ],\n      input.builtin,\n    )\n    if (!output) {\n      process.stdout.write(\"No plugins found\" + EOL)\n      return\n    }\n    process.stdout.write(output + EOL)\n  }),\n)\n\nexport function format(\n  plugins: readonly PluginInfo[],\n  tui: ReadonlyArray<{ readonly target: string; readonly source: \"configured\" | \"discovered\" }>,\n  builtin = false,\n) {\n  const server = plugins\n    .filter((plugin) => builtin || plugin.source.type !== \"builtin\")\n    .toSorted((a, b) => name(a).localeCompare(name(b)))\n    .map((plugin) => `${name(plugin)} (${plugin.status})`)\n  const advertised = plugins.flatMap((plugin) =>\n    plugin.status === \"active\" && plugin.tui && plugin.source.type === \"package\"\n      ? [{ target: plugin.source.package, source: \"advertised\" as const }]\n      : [],\n  )\n  const targets = [...tui, ...advertised]\n    .filter((plugin, index, all) => all.findIndex((candidate) => candidate.target === plugin.target) === index)\n    .toSorted((a, b) => a.target.localeCompare(b.target))\n    .map((plugin) => `${plugin.target} (${plugin.source})`)\n  return [\n    targets.length ? [\"TUI\", ...targets].join(EOL) : undefined,\n    server.length ? [\"Server\", ...server].join(EOL) : undefined,\n  ]\n    .filter((section) => section !== undefined)\n    .join(EOL + EOL)\n}\n\nfunction name(plugin: PluginInfo) {\n  if (plugin.id) return plugin.id\n  if (plugin.source.type === \"package\") return plugin.source.package\n  if (plugin.source.type === \"local\") return plugin.source.path\n  return plugin.source.type\n}\n"
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-}

bin/chunk-789nymzk.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": "EC0C90DF21EC517764756E2164756E21",
-  "names": []
-}

bin/chunk-7xrqgcp8.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/debug/config.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"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.debug.commands.config,\n  Effect.fn(\"cli.debug.config\")(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 entries = yield* Effect.promise(() => client.config.get({ location: { directory: process.cwd() } }))\n    process.stdout.write(JSON.stringify(entries, null, 2) + EOL)\n  }),\n)\n"
-  ],
-  "mappings": ";m6BAAA,cAAS,WAQT,IAAe,IAAQ,QACrB,EAAS,SAAS,MAAM,SAAS,OACjC,EAAO,GAAG,kBAAkB,EAAE,SAAU,EAAG,CACzC,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,EACpF,EAAU,MAAO,EAAO,QAAQ,IAAM,EAAO,OAAO,IAAI,CAAE,SAAU,CAAE,UAAW,QAAQ,IAAI,CAAE,CAAE,CAAC,CAAC,EACzG,QAAQ,OAAO,MAAM,KAAK,UAAU,EAAS,KAAM,CAAC,EAAI,CAAG,EAC5D,CACH",
-  "debugId": "55D3CA4CB8F134AC64756E2164756E21",
-  "names": []
-}

bin/chunk-8bewer36.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/auth/logout.ts"],
-  "sourcesContent": [
-    "import { autocomplete, intro, outro, spinner } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { IntegrationInfo } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { createClient, loadIntegrations, location, request, resolveIntegration } from \"./shared\"\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.logout,\n  Effect.fn(\"cli.auth.logout\")((input) =>\n    logout({\n      target: Option.getOrUndefined(input.target),\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    }).pipe(handlePromptErrors),\n  ),\n)\n\nconst logout = Effect.fn(\"cli.auth.logout.run\")(function* (input: {\n  target?: string\n  server?: string\n  standalone: boolean\n}) {\n  if (!input.target)\n    yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n  intro(\"Remove credential\")\n  const client = yield* createClient({ server: input.server, standalone: input.standalone })\n  const integrations = yield* loadIntegrations(client)\n  const integration = yield* chooseIntegration(integrations, input.target)\n  const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n  if (credentials.length === 0) {\n    const environment = integration.connections\n      .filter((connection) => connection.type === \"env\")\n      .map((connection) => connection.name)\n    if (environment.length) {\n      yield* Effect.fail(\n        new Error(\n          `${integration.name} is authenticated through ${environment.join(\", \")}; unset the environment variable to disconnect`,\n        ),\n      )\n    }\n    yield* Effect.fail(new Error(`No stored credentials for ${integration.name}`))\n  }\n  const progress = spinner()\n  progress.start(\"Removing credential...\")\n  yield* Effect.forEach(\n    credentials,\n    (connection) =>\n      request((signal) => client.credential.remove({ credentialID: connection.id, location }, { signal })),\n    { concurrency: \"unbounded\", discard: true },\n  ).pipe(\n    Effect.tap(() => Effect.sync(() => progress.stop(`Disconnected from ${integration.name}`))),\n    Effect.tapCause(() => Effect.sync(() => progress.stop(\"Failed to remove credential\", 1))),\n  )\n  outro(\"Done\")\n})\n\nconst chooseIntegration = Effect.fn(\"cli.auth.logout.integration\")(function* (\n  integrations: IntegrationInfo[],\n  target?: string,\n) {\n  if (target) return yield* resolveIntegration(integrations, target)\n  const configured = integrations.filter((integration) =>\n    integration.connections.some((connection) => connection.type === \"credential\"),\n  )\n  if (configured.length === 0) return yield* Effect.fail(new Error(\"No stored credentials found\"))\n  const id = yield* prompt<string>(() =>\n    autocomplete({\n      message: \"Select integration\",\n      maxItems: 8,\n      options: configured.map((integration) => ({\n        value: integration.id,\n        label: integration.name,\n        hint: integration.connections\n          .filter((connection) => connection.type === \"credential\")\n          .map((connection) => connection.label)\n          .join(\", \"),\n      })),\n    }),\n  )\n  return yield* resolveIntegration(configured, id)\n})\n"
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-  "debugId": "90AAAFFA840EF49064756E2164756E21",
-  "names": []
-}

bin/chunk-929wevwz.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "DB6DE72E3F0F791B64756E2164756E21",
-  "names": []
-}

bin/chunk-9737c15c.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "D4B9650F19E0FE5C64756E2164756E21",
-  "names": []
-}

bin/chunk-99xknbcp.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"],
-  "sourcesContent": [
-    "import { OpenResponsesOptions } from \"./open-responses-options.js\"\n\nexport const OpenAIReasoningEfforts = OpenResponsesOptions.ReasoningEfforts\nexport type OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosities = OpenResponsesOptions.TextVerbosities\nexport type OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity\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.TextVerbosity\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.js\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { Protocol } from \"../route/protocol.js\"\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/index.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { OpenAIOptions } from \"./utils/openai-options.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"openai-chat\"\nconst RESERVED_REASONING_FIELDS = new Set([\"role\", \"content\", \"refusal\", \"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\n// Intentionally omit Gemini's provider-specific `extra_content.google.thought_signature`\n// extension until direct Google OpenAI-compatible routing is supported here:\n// https://github.com/vercel/ai/issues/11590\n// https://github.com/vercel/ai/pull/11745\n// https://ai.google.dev/gemini-api/docs/thought-signatures#openai\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  prompt_cache_key: Schema.optional(Schema.String),\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.StructWithRest(\n  Schema.Struct({\n    prompt_tokens: optionalNull(Schema.Number),\n    completion_tokens: optionalNull(Schema.Number),\n    total_tokens: optionalNull(Schema.Number),\n    prompt_tokens_details: optionalNull(\n      Schema.StructWithRest(\n        Schema.Struct({\n          cached_tokens: optionalNull(Schema.Number),\n          cache_write_tokens: optionalNull(Schema.Number),\n        }),\n        [Schema.Record(Schema.String, Schema.Unknown)],\n      ),\n    ),\n    completion_tokens_details: optionalNull(\n      Schema.StructWithRest(\n        Schema.Struct({\n          reasoning_tokens: optionalNull(Schema.Number),\n          accepted_prediction_tokens: optionalNull(Schema.Number),\n          rejected_prediction_tokens: optionalNull(Schema.Number),\n        }),\n        [Schema.Record(Schema.String, Schema.Unknown)],\n      ),\n    ),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n  name: optionalNull(Schema.String),\n  arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n  index: optionalNull(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    refusal: 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  readonly latestToolIndex?: number\n  readonly nextToolIndex: number\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 = ProviderShared.normalizeMedia(part)\n  if (!media.mime.startsWith(\"image/\"))\n    return yield* ProviderShared.invalidRequest(`OpenAI Chat does not support media type ${part.mediaType}`)\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 cacheControl = options.cacheControl?.(cached && \"cache\" in cached ? cached.cache : undefined)\n  const result = {\n    role: \"assistant\" as const,\n    content: content.length > 0 ? content.map((part) => part.text).join(\"\") : toolCalls.length > 0 ? null : \"\",\n    ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),\n    ...(details !== undefined ? { reasoning_details: details } : {}),\n    ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),\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    ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\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 input = usage.prompt_tokens ?? undefined\n  const output = usage.completion_tokens ?? undefined\n  const cached = usage.prompt_tokens_details?.cached_tokens ?? undefined\n  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined\n  const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined\n  const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))\n  return new Usage({\n    inputTokens: input,\n    outputTokens: output,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    cacheWriteInputTokens: cacheWrite,\n    reasoningTokens: reasoning,\n    totalTokens: ProviderShared.totalTokens(input, output, usage.total_tokens ?? undefined),\n    providerMetadata: { openai: usage },\n  })\n}\n\nconst toolIndexByID = (\n  tools: ParserState[\"tools\"],\n  pendingTools: ParserState[\"pendingTools\"],\n  id: string | undefined,\n) => {\n  if (!id) return undefined\n  const entry = Object.entries({ ...pendingTools, ...tools }).find(([, tool]) => tool?.id === id)\n  return entry ? Number(entry[0]) : undefined\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 rawFinishReason = choice?.finish_reason\n    const finishReason =\n      rawFinishReason !== undefined && rawFinishReason !== null\n        ? { normalized: mapFinishReason(rawFinishReason), raw: choice?.native_finish_reason ?? rawFinishReason }\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    let latestToolIndex = state.latestToolIndex\n    let nextToolIndex = state.nextToolIndex\n\n    let lifecycle = state.lifecycle\n\n    const reasoning = reasoningDelta(delta, state.reasoningField)\n    const hasLateContent =\n      Boolean(delta?.content) ||\n      Boolean(delta?.refusal) ||\n      reasoning !== undefined ||\n      (Array.isArray(delta?.reasoning_details) && delta.reasoning_details.length > 0) ||\n      toolDeltas.some((tool) => Boolean(tool.id) || Boolean(tool.function?.name) || Boolean(tool.function?.arguments))\n    if (state.finishReason !== undefined) {\n      if (hasLateContent)\n        return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat received content after the finish reason\")\n      return [{ ...state, usage }, events] as const\n    }\n\n    const reasoningField = state.reasoningField ?? reasoning?.field\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 (text !== undefined) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n    else if (\n      reasoningDetailsObserved &&\n      !lifecycle.reasoning.has(\"reasoning-0\") &&\n      (Boolean(delta?.content) || Boolean(delta?.refusal) || 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    if (delta?.refusal) {\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.refusal)\n    }\n\n    // Compatible providers may omit indexes. Prefer durable identity, then use\n    // batch position for parallel deltas or the latest call for sparse chunks.\n    for (const [position, tool] of toolDeltas.entries()) {\n      const matched = toolIndexByID(tools, pendingTools, tool.id || undefined)\n      const fallback = toolDeltas.length > 1 ? position : (latestToolIndex ?? position)\n      const fallbackTool = tools[fallback] ?? pendingTools[fallback]\n      const index =\n        tool.index ?? matched ?? (tool.id && fallbackTool?.id && fallbackTool.id !== tool.id ? nextToolIndex : fallback)\n      const current = tools[index]\n      const pending = pendingTools[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      latestToolIndex = index\n      nextToolIndex = Math.max(nextToolIndex, index + 1)\n      if (!current && (!id || !name)) {\n        pendingTools = {\n          ...pendingTools,\n          [index]: { id: id || undefined, name: name || undefined, input: text },\n        }\n        continue\n      }\n      if (pending) {\n        pendingTools = { ...pendingTools }\n        delete pendingTools[index]\n      }\n      const result = ToolStream.appendOrStart(\n        ADAPTER,\n        tools,\n        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        latestToolIndex,\n        nextToolIndex,\n      },\n      events,\n    ] as const\n  })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n  const events: LLMEvent[] = []\n  const toolCallEvents =\n    state.finishReason === undefined && Object.keys(state.tools).length > 0\n      ? Effect.runSync(ToolStream.finishAll(ADAPTER, state.tools)).events\n      : state.toolCallEvents\n  const hasToolCalls = 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    : { normalized: hasToolCalls ? (\"tool-calls\" as const) : (\"unknown\" as const) }\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 = toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n  events.push(...toolCallEvents)\n  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      nextToolIndex: 0,\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.js\"\n"
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bin/chunk-9etxjcba.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/bedrock-auth.ts"],
-  "sourcesContent": [
-    "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth.js\"\nimport { ProviderShared } from \"../shared.js\"\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  readonly service: string\n  readonly name: string\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: input.service,\n      }).sign()\n      return Object.fromEntries(signed.headers.entries())\n    },\n    catch: (error) =>\n      ProviderShared.invalidRequest(\n        `${input.name} SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n      ),\n  })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (\n  credentials: Credentials | undefined,\n  options: { readonly service?: string; readonly name?: string } = {},\n) =>\n  Auth.custom((input: AuthInput) => {\n    return Effect.gen(function* () {\n      if (!credentials) {\n        return yield* ProviderShared.invalidRequest(\n          `${options.name ?? \"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        service: options.service ?? \"bedrock\",\n        name: options.name ?? \"Bedrock Converse\",\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.js\"\n"
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bin/chunk-ad4756cf.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/bedrock-event-stream.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.js\"\nimport { ProviderShared } from \"./shared.js\"\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.js\"\n",
-    "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema/index.js\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache.js\"\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.\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// Callers pass a shared counter through every `block()` call site so the\n// four-breakpoint budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache.js\"\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.js\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema/index.js\"\nimport { ProviderShared } from \"../shared.js\"\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 = ProviderShared.normalizeMedia(part)\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 = ProviderShared.normalizeMedia(part)\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.js\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\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/index.js\"\nimport { BedrockEventStream } from \"./bedrock-event-stream.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { BedrockAuth } from \"./utils/bedrock-auth.js\"\nimport { BedrockCache } from \"./utils/bedrock-cache.js\"\nimport { BedrockMedia } from \"./utils/bedrock-media.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth.js\"\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      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 === \"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    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  }\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.js\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse.js\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse.js\"\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    region: settings.region,\n  }).model(modelID)\n}\n"
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-  "debugId": "5A8CAEEE6913770C64756E2164756E21",
-  "names": []
-}

bin/chunk-b3e4g9px.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.js\"\nimport type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from \"./image.js\"\nimport type { AIError } from \"./schema/index.js\"\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, Service> =>\n  Effect.gen(function* () {\n    const client = yield* Service\n    return yield* client.generate(request)\n  })\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 {\n  HttpOptions,\n  InvalidRequestReason,\n  AIError,\n  ModelID,\n  ProviderID,\n  ProviderMetadata,\n  Usage,\n} from \"./schema/index.js\"\nimport { ImageClient, Service, type Execute as ImageExecute } from \"./image-client.js\"\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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-}

bin/chunk-badgkehj.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/plugin/add.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { mkdir, readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Npm } from \"@opencode-ai/util/npm\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { resolveConfigPath } from \"../mcp/add\"\nimport { Config } from \"../../../config\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.add,\n  Effect.fn(\"cli.plugin.add\")(function* (input) {\n    if (!(yield* Effect.promise(() => Npm.isRegistryPackage(input.package))))\n      return yield* Effect.fail(\n        new Error(\"Plugin target must be an npm registry package name, version, tag, or semver range\"),\n      )\n    const npm = yield* Npm.Service\n    const installed = yield* npm.add(input.package, { subpaths: [\"server\", \"\"] })\n    const tui = yield* npm.resolve(input.package, { subpaths: [\"tui\"] })\n    const target = configurationTarget(installed.entrypoint, tui.entrypoint)\n    if (!target)\n      return yield* Effect.fail(new Error(`Plugin package has no server or TUI entrypoint: ${input.package}`))\n\n    if (target === \"server\") {\n      const global = yield* Global.Service\n      const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n      const changed = yield* Effect.promise(() => writePluginConfig(configPath, input.package))\n      process.stdout.write(\n        changed\n          ? `Plugin \"${input.package}\" installed and added to ${configPath}${EOL}`\n          : `Plugin \"${input.package}\" is already configured in ${configPath}${EOL}`,\n      )\n      return\n    }\n\n    const config = yield* Config.Service\n    yield* config.update((draft) => {\n      if (configured(draft.plugins, input.package)) return\n      draft.plugins = [...(draft.plugins ?? []), input.package]\n    })\n    process.stdout.write(`TUI plugin \"${input.package}\" installed and added to ${config.path}${EOL}`)\n  }),\n)\n\nexport function configurationTarget(server?: string, tui?: string) {\n  if (server) return \"server\" as const\n  if (tui) return \"tui\" as const\n}\n\nexport async function writePluginConfig(configPath: string, spec: string) {\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 errors: ParseError[] = []\n  const config: unknown = parse(text, errors, { allowTrailingComma: true })\n  if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n    throw new Error(`Invalid global configuration: ${configPath}`)\n  const plugins = \"plugins\" in config ? config.plugins : undefined\n  if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n  if (configured(plugins, spec)) return false\n\n  const updated = applyEdits(\n    text,\n    modify(text, [\"plugins\"], [...(plugins ?? []), spec], { formattingOptions: { tabSize: 2, insertSpaces: true } }),\n  )\n  await mkdir(path.dirname(configPath), { recursive: true })\n  const temporary = configPath + \".tmp\"\n  await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n  await rename(temporary, configPath)\n  return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n  return plugins?.some(\n    (entry) =>\n      entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec),\n  )\n}\n"
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-  "debugId": "123646331763616264756E2164756E21",
-  "names": []
-}

bin/chunk-bpjrmm2w.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/set.ts"],
-  "sourcesContent": [
-    "import { 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.set,\n  Effect.fn(\"cli.service.set\")(function* (input) {\n    yield* ServiceConfig.set(input.key, input.value, Option.getOrUndefined(input.nestedValue))\n  }),\n)\n"
-  ],
-  "mappings": ";02BAKA,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,IACnC,EAAO,GAAG,iBAAiB,EAAE,SAAU,CAAC,EAAO,CAC7C,MAAO,EAAc,IAAI,EAAM,IAAK,EAAM,MAAO,EAAO,eAAe,EAAM,WAAW,CAAC,EAC1F,CACH",
-  "debugId": "0417BEFB190D3DD164756E2164756E21",
-  "names": []
-}

bin/chunk-caj8s3ed.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"
-  ],
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-  "debugId": "8B11EF34D882177364756E2164756E21",
-  "names": []
-}

bin/chunk-cc72x5sr.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "0E9E662C4BB8059064756E2164756E21",
-  "names": []
-}

bin/chunk-ct1pxgvn.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/auth/form.ts", "src/commands/handlers/auth/login.ts"],
-  "sourcesContent": [
-    "import { confirm, log, multiselect, password, select, text, type Option } from \"@clack/prompts\"\nimport { Effect } from \"effect\"\nimport type { FormAnswer, FormField, FormFields } from \"@opencode-ai/client\"\nimport { openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\n\nconst skip = Symbol(\"skip\")\nconst custom = Symbol(\"custom\")\n\nexport const answerForm = Effect.fn(\"cli.auth.form\")(function* (fields: FormFields | undefined) {\n  if (!fields) return undefined\n  yield* requireInteractive(\"Authentication form input requires an interactive terminal\")\n  const answer: FormAnswer = {}\n  for (const field of fields) {\n    if (!active(field, answer)) continue\n    const value = yield* answerField(field)\n    if (value !== undefined) answer[field.key] = value\n  }\n  return answer\n})\n\nexport const secret = Effect.fn(\"cli.auth.secret\")(function* (message: string) {\n  yield* requireInteractive(\"API key input requires an interactive terminal\")\n  return yield* prompt<string>(() => password({ message, validate: (value) => (!value ? \"Required\" : undefined) }))\n})\n\nconst answerField = Effect.fn(\"cli.auth.form.field\")(function* (field: FormField) {\n  const message = field.title ?? field.key\n  if (field.description) log.info(field.description)\n  if (field.type === \"external\") {\n    log.info(field.url)\n    yield* openUrl(field.url)\n    const acknowledged = yield* prompt<boolean>(() =>\n      confirm({ message: message || \"Continue after completing this step?\", initialValue: true }),\n    )\n    if (!acknowledged) return yield* Effect.fail(new Error(`${message || \"External step\"} is required`))\n    return true\n  }\n  if (field.type === \"boolean\") {\n    if (field.required) return yield* prompt<boolean>(() => confirm({ message, initialValue: field.default ?? true }))\n    const options: Array<Option<boolean | typeof skip>> = [\n      { value: true, label: \"Yes\" },\n      { value: false, label: \"No\" },\n      { value: skip, label: \"Skip\" },\n    ]\n    const value = yield* prompt<boolean | typeof skip>(() =>\n      select<boolean | typeof skip>({\n        message,\n        options,\n        initialValue: field.default ?? skip,\n      }),\n    )\n    if (value === skip) return undefined\n    return value\n  }\n  if (field.type === \"multiselect\") {\n    const options: Array<Option<string | typeof custom>> = field.options.map((option) => ({\n      value: option.value,\n      label: option.label,\n      hint: option.description,\n    }))\n    if (field.custom) options.push({ value: custom, label: \"Type another value\" })\n    const values = yield* prompt<Array<string | typeof custom>>(() =>\n      multiselect<string | typeof custom>({\n        message,\n        options,\n        initialValues: field.default,\n        required: field.required || (field.minItems ?? 0) > 0,\n      }),\n    )\n    const selected = values.filter((value): value is string => value !== custom)\n    if (values.includes(custom)) {\n      selected.push(yield* prompt<string>(() => text({ message: \"Enter value\", validate: required })))\n    }\n    if (field.minItems !== undefined && selected.length < field.minItems) {\n      return yield* Effect.fail(new Error(`Select at least ${field.minItems}`))\n    }\n    if (field.maxItems !== undefined && selected.length > field.maxItems) {\n      return yield* Effect.fail(new Error(`Select at most ${field.maxItems}`))\n    }\n    return selected\n  }\n  if (field.type === \"string\" && field.options) {\n    const options: Array<Option<string | typeof custom | typeof skip>> = field.options.map((option) => ({\n      value: option.value,\n      label: option.label,\n      hint: option.description,\n    }))\n    if (field.custom) options.push({ value: custom, label: \"Type your own answer\" })\n    if (!field.required) options.push({ value: skip, label: \"Skip\" })\n    const value = yield* prompt<string | typeof custom | typeof skip>(() =>\n      select<string | typeof custom | typeof skip>({ message, options, initialValue: field.default }),\n    )\n    if (value === skip) return undefined\n    if (value !== custom) return value\n  }\n  const value = yield* prompt<string>(() =>\n    text({\n      message,\n      placeholder: field.type === \"string\" ? field.placeholder : undefined,\n      initialValue: field.default === undefined ? undefined : String(field.default),\n      validate: (input) => validateText(field, input),\n    }),\n  )\n  if (!value && !field.required) return undefined\n  if (field.type === \"string\") return value\n  return Number(value)\n})\n\nfunction active(field: FormField, answer: FormAnswer) {\n  if (field.type === \"external\" || !field.when) return true\n  return field.when.every((condition) => {\n    const value = answer[condition.key]\n    if (value === undefined) return false\n    const matches = Array.isArray(value) ? value.includes(String(condition.value)) : value === condition.value\n    return condition.op === \"eq\" ? matches : !matches\n  })\n}\n\nfunction required(value: string | undefined) {\n  return value ? undefined : \"Required\"\n}\n\nfunction validateText(field: Exclude<FormField, { type: \"boolean\" | \"external\" | \"multiselect\" }>, value?: string) {\n  if (!value) return field.required ? \"Required\" : undefined\n  if (field.type === \"number\" || field.type === \"integer\") {\n    const number = Number(value)\n    if (!Number.isFinite(number)) return \"Expected a number\"\n    if (field.type === \"integer\" && !Number.isInteger(number)) return \"Expected an integer\"\n    if (typeof field.minimum === \"number\" && number < field.minimum) return `Must be at least ${field.minimum}`\n    if (typeof field.maximum === \"number\" && number > field.maximum) return `Must be at most ${field.maximum}`\n    return undefined\n  }\n  if (field.minLength !== undefined && value.length < field.minLength)\n    return `Must be at least ${field.minLength} characters`\n  if (field.maxLength !== undefined && value.length > field.maxLength)\n    return `Must be at most ${field.maxLength} characters`\n  if (field.pattern) {\n    try {\n      if (!new RegExp(field.pattern).test(value)) return \"Invalid format\"\n    } catch {\n      return \"Invalid format\"\n    }\n  }\n  if (field.format === \"uri\" && !URL.canParse(value)) return \"Expected a URL\"\n  if (field.format === \"email\" && !/^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(value)) return \"Expected an email address\"\n  if (field.format === \"date\") {\n    if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(value)) return \"Expected a date\"\n    const date = new Date(`${value}T00:00:00.000Z`)\n    if (Number.isNaN(date.getTime()) || date.toISOString().slice(0, 10) !== value) return \"Expected a date\"\n  }\n  if (field.format === \"date-time\" && Number.isNaN(Date.parse(value))) return \"Expected a date and time\"\n  return undefined\n}\n",
-    "import { autocomplete, intro, log, outro, select, spinner, text } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { FormAnswer, IntegrationInfo, OpenCodeClient } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { answerForm, secret } from \"./form\"\nimport {\n  createClient,\n  connectMethods,\n  loadIntegrations,\n  location,\n  request,\n  resolveIntegration,\n  resolveMethod,\n  type ConnectMethod,\n} from \"./shared\"\n\nconst integrationPriority = new Map([\n  [\"opencode\", 0],\n  [\"opencode-go\", 1],\n  [\"openai\", 2],\n  [\"github-copilot\", 3],\n  [\"google\", 4],\n  [\"anthropic\", 5],\n  [\"openrouter\", 6],\n  [\"vercel\", 7],\n])\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.login,\n  Effect.fn(\"cli.auth.login\")((input) =>\n    login({\n      target: Option.getOrUndefined(input.target),\n      method: Option.getOrUndefined(input.method),\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    }).pipe(handlePromptErrors),\n  ),\n)\n\nconst login = Effect.fn(\"cli.auth.login.run\")(function* (input: {\n  target?: string\n  method?: string\n  server?: string\n  standalone: boolean\n}) {\n  if (!input.target)\n    yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n  intro(\"Connect an integration\")\n  const client = yield* createClient({ server: input.server, standalone: input.standalone })\n  const integration = yield* findIntegration(client, input.target)\n  const methods = connectMethods(integration)\n  if (methods.length === 0) yield* Effect.fail(new Error(`${integration.name} has no interactive login methods`))\n  const method = yield* chooseMethod(methods, input.method)\n  const answer = method.type === \"command\" ? undefined : yield* answerForm(method.form)\n  yield* authenticate(client, integration, method, answer)\n  outro(\"Done\")\n})\n\nconst findIntegration = Effect.fn(\"cli.auth.login.integration\")(function* (client: OpenCodeClient, target?: string) {\n  if (target && URL.canParse(target)) {\n    const protocol = new URL(target).protocol\n    if (protocol === \"http:\" || protocol === \"https:\") {\n      const progress = spinner()\n      progress.start(\"Discovering authentication provider...\")\n      yield* request((signal) => client.integration.wellknown.add({ url: target, location }, { signal })).pipe(\n        Effect.tap(() => Effect.sync(() => progress.stop(\"Authentication provider discovered\"))),\n        Effect.tapCause(() => Effect.sync(() => progress.stop(\"Discovery failed\", 1))),\n      )\n    }\n  }\n  const integrations = yield* loadIntegrations(client)\n  if (target) return yield* resolveIntegration(integrations, target)\n  const available = integrations\n    .filter((integration) => connectMethods(integration).length > 0)\n    .toSorted(\n      (a, b) =>\n        (integrationPriority.get(a.id) ?? integrationPriority.size) -\n          (integrationPriority.get(b.id) ?? integrationPriority.size) ||\n        a.name.localeCompare(b.name) ||\n        a.id.localeCompare(b.id),\n    )\n  if (available.length === 0) return yield* Effect.fail(new Error(\"No authentication integrations are available\"))\n  const id = yield* prompt<string>(() =>\n    autocomplete({\n      message: \"Select integration\",\n      maxItems: 8,\n      options: available.map((integration) => {\n        const option = { value: integration.id, label: integration.name, hint: integration.id }\n        if (integration.connections.length > 0) return { ...option, hint: \"connected\" }\n        if (integration.id === \"opencode\") return { ...option, hint: \"recommended\" }\n        return option\n      }),\n    }),\n  )\n  return yield* resolveIntegration(available, id)\n})\n\nconst chooseMethod = Effect.fn(\"cli.auth.login.method\")(function* (methods: ConnectMethod[], target?: string) {\n  if (target) return yield* resolveMethod(methods, target)\n  if (methods.length === 1) return methods[0]\n  yield* requireInteractive(\"Pass --method when running without an interactive terminal\")\n  const id = yield* prompt<string>(() =>\n    select({\n      message: \"Select login method\",\n      options: methods.map((method) => {\n        if (method.type === \"key\") return { value: \"key\", label: method.label ?? \"API key\" }\n        return { value: method.id, label: method.label }\n      }),\n    }),\n  )\n  return yield* resolveMethod(methods, id)\n})\n\nconst authenticate = Effect.fn(\"cli.auth.login.authenticate\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: ConnectMethod,\n  answer?: FormAnswer,\n) {\n  if (method.type === \"key\") return yield* keyLogin(client, integration, method, answer)\n  if (method.type === \"command\") return yield* commandLogin(client, integration, method)\n  return yield* oauthLogin(client, integration, method, answer)\n})\n\nconst keyLogin = Effect.fn(\"cli.auth.login.key\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: Extract<ConnectMethod, { type: \"key\" }>,\n  answer?: FormAnswer,\n) {\n  const key = yield* secret(method.label ?? `Enter your ${integration.name} API key`)\n  const progress = spinner()\n  progress.start(\"Saving credential...\")\n  yield* request((signal) =>\n    client.integration.connect.key({ integrationID: integration.id, key, answer, location }, { signal }),\n  ).pipe(\n    Effect.tap(() => Effect.sync(() => progress.stop(`Connected to ${integration.name}`))),\n    Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))),\n  )\n})\n\nconst oauthLogin = Effect.fn(\"cli.auth.login.oauth\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: Extract<ConnectMethod, { type: \"oauth\" }>,\n  answer?: FormAnswer,\n) {\n  const progress = spinner()\n  progress.start(\"Starting authorization...\")\n  const started = yield* request((signal) =>\n    client.integration.oauth.connect(\n      { integrationID: integration.id, methodID: method.id, answer, location },\n      { signal },\n    ),\n  ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n  const attempt = started.data\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.oauth.cancel(\n        { integrationID: integration.id, attemptID: attempt.attemptID, location },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  progress.stop(\"Authorization started\")\n  log.info(attempt.instructions)\n  log.info(attempt.url)\n  if (process.stdin.isTTY && process.stdout.isTTY) yield* openUrl(attempt.url)\n\n  if (attempt.mode === \"code\") {\n    yield* requireInteractive(\"This login requires an interactive terminal to enter the authorization code\")\n    const code = yield* prompt<string>(() =>\n      text({ message: \"Paste the authorization code\", validate: (value) => (!value ? \"Required\" : undefined) }),\n    )\n    const completing = spinner()\n    completing.start(\"Completing authorization...\")\n    yield* request((signal) =>\n      client.integration.oauth.complete(\n        { integrationID: integration.id, attemptID: attempt.attemptID, code, location },\n        { signal },\n      ),\n    ).pipe(\n      Effect.tap(() => Effect.sync(() => completing.stop(`Connected to ${integration.name}`))),\n      Effect.tapCause(() => Effect.sync(() => completing.stop(\"Authentication failed\", 1))),\n    )\n    return\n  }\n\n  const waiting = spinner()\n  waiting.start(\"Waiting for authorization...\")\n  const status = yield* waitForOAuth(client, integration.id, attempt.attemptID).pipe(\n    Effect.tapCause(() => Effect.sync(() => waiting.stop(\"Authentication failed\", 1))),\n  )\n  if (status.status === \"complete\") {\n    waiting.stop(`Connected to ${integration.name}`)\n    return\n  }\n  waiting.stop(\"Authentication failed\", 1)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  yield* Effect.fail(new Error(\"Authorization expired\"))\n})\n\nconst commandLogin = Effect.fn(\"cli.auth.login.command\")(function* (\n  client: OpenCodeClient,\n  integration: IntegrationInfo,\n  method: Extract<ConnectMethod, { type: \"command\" }>,\n) {\n  const progress = spinner()\n  progress.start(\"Starting authentication command...\")\n  const started = yield* request((signal) =>\n    client.integration.command.connect({ integrationID: integration.id, methodID: method.id, location }, { signal }),\n  ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.command.cancel(\n        {\n          integrationID: integration.id,\n          attemptID: started.data.attemptID,\n          location,\n        },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  const status = yield* waitForCommand(client, integration.id, started.data.attemptID, (message) =>\n    progress.message(message.trim() || \"Waiting for authentication command...\"),\n  ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n  if (status.status === \"complete\") {\n    progress.stop(`Connected to ${integration.name}`)\n    return\n  }\n  progress.stop(\"Authentication failed\", 1)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  yield* Effect.fail(new Error(\"Authentication expired\"))\n})\n\nconst waitForOAuth = Effect.fn(\"cli.auth.login.oauth.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\nconst waitForCommand = Effect.fn(\"cli.auth.login.command.wait\")(function* (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n  update: (message: string) => void,\n) {\n  while (true) {\n    const response = yield* request((signal) =>\n      client.integration.command.status({ integrationID, attemptID, location }, { signal }),\n    )\n    if (response.data.status !== \"pending\") return response.data\n    if (response.data.message) update(response.data.message)\n    yield* Effect.sleep(500)\n  }\n})\n"
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bin/chunk-dvve1q0p.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/route/auth-options.ts"],
-  "sourcesContent": [
-    "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth.js\"\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.js\"\n"
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-}

bin/chunk-eazw1px7.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"],
-  "sourcesContent": [
-    "import type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\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    provider: settings.provider,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible.js\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { AnthropicCompatible } from \"./anthropic-compatible.js\"\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    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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-  "debugId": "358D05D43B80EA9664756E2164756E21",
-  "names": []
-}

bin/chunk-ep5g5qz1.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      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 \"failed\":\n      return `failed: ${status.error}`\n    default:\n      return status.status\n  }\n}\n"
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-  "debugId": "1375F38F2881569264756E2164756E21",
-  "names": []
-}

bin/chunk-fjjxsk17.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": "39BBAE9AAA8FD6A264756E2164756E21",
-  "names": []
-}

bin/chunk-fp40eped.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, 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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-  "debugId": "DD028559ED63FE4264756E2164756E21",
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-}

bin/chunk-gw6mtb47.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/models.ts"],
-  "sourcesContent": [
-    "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n  Commands.commands.models,\n  Effect.fn(\"cli.models\")(function* (input) {\n    const server = yield* ServerConnection.resolve({\n      server: Option.getOrUndefined(input.server),\n      standalone: input.standalone,\n    })\n    const client = OpenCode.make({\n      baseUrl: server.endpoint.url,\n      headers: Service.headers(server.endpoint),\n    })\n    const response = yield* Effect.promise(() => client.model.list({ location: { directory: process.cwd() } }))\n    const models = response.data\n      .map((model) => `${model.providerID}/${model.id}`)\n      .toSorted((a, b) => a.localeCompare(b))\n    if (models.length > 0) process.stdout.write(models.join(EOL) + EOL)\n  }),\n)\n"
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-}

bin/chunk-h26rzkw5.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  env: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\", \"env\"] 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 === \"dev\" || channel === \"beta\" || channel === \"next\") return \"service.json\"\n  return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return 0xc0de\n  if (channel === \"local\") return 0xc0df\n  return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n  if (channel === \"latest\" || channel === \"local\") return\n  return `service-${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\" || key === \"env\") 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* (input: { readonly checkVersion?: boolean } = {}) {\n  const { file, legacyRegistrationFiles } = yield* paths\n  yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n  return {\n    file,\n    version: input.checkVersion ? OPENCODE_VERSION : undefined,\n    env: (yield* read()).env,\n    command: [\n      ...selfCommand(),\n      \"serve\",\n      \"--service\",\n    ],\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, name?: string) {\n  if (key === undefined) {\n    const { password: _password, ...safe } = yield* read()\n    return JSON.stringify(safe, null, 2)\n  }\n  const selected = configKey(key)\n  if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)\n  switch (selected) {\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    case \"env\": {\n      const env = (yield* read()).env ?? {}\n      return name === undefined ? JSON.stringify(env, null, 2) : (env[name] ?? \"\")\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, nestedValue?: string) {\n  const selected = configKey(key)\n  if (selected !== \"env\" && nestedValue !== undefined)\n    throw new Error(`Usage: opencode service set ${selected} <value>`)\n  switch (selected) {\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    case \"env\": {\n      if (nestedValue === undefined) throw new Error(\"Usage: opencode service set env <key> <value>\")\n      yield* Service.stop(yield* options())\n      const existing = yield* read()\n      yield* write({ ...existing, env: { ...existing.env, [value]: nestedValue } })\n      return\n    }\n  }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string, name?: string) {\n  const selected = configKey(key)\n  if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service unset ${selected}`)\n  switch (selected) {\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    case \"env\": {\n      if (name === undefined) throw new Error(\"Usage: opencode service unset env <key>\")\n      yield* Service.stop(yield* options())\n      const existing = yield* read()\n      const { [name]: _removed, ...env } = existing.env ?? {}\n      const { env: _existingEnv, ...rest } = existing\n      yield* write(Object.keys(env).length === 0 ? rest : { ...rest, env })\n      return\n    }\n  }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n"
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bin/chunk-h5z79knj.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(\n      (yield* ServiceConfig.get(Option.getOrUndefined(input.key), Option.getOrUndefined(input.name))) + EOL,\n    )\n  }),\n)\n"
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-}

bin/chunk-hd4j1s7b.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openai-compatible.ts"],
-  "sourcesContent": [
-    "import { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\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  readonly providerOptions?: OpenAIProviderOptionsInput\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    provider: settings.provider,\n    providerOptions: settings.providerOptions,\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-hhr553cw.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/gemini.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderMetadata,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\n\nconst ADAPTER = \"gemini\"\n// Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.\nconst SKIP_THOUGHT_SIGNATURE_VALIDATOR = \"skip_thought_signature_validator\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\n// Gemini 3 rejects replayed function calls without a thought signature. Google's SDKs avoid that in normal chats by\n// retaining complete model responses, but OpenCode reconstructs durable history and may encounter an unsigned call\n// from an older or external session. Model IDs are open-ended, so unknown Gemini aliases inherit current behavior.\nconst requiresThoughtSignatureFallback = (modelID: string) => {\n  if (!/(^|\\/)gemini-/i.test(modelID)) return false\n  if (/(^|\\/)gemini-(?:1|2)(?:[.-]|$)/i.test(modelID)) return false\n  if (/(^|\\/)gemini-pro(?:-vision)?$/i.test(modelID)) return false\n  return !/(^|\\/)gemini-robotics-er-1\\.5(?:[.-]|$)/i.test(modelID)\n}\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 = OptionsInput\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.optional(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  frequencyPenalty: Schema.optional(Schema.Number),\n  presencePenalty: Schema.optional(Schema.Number),\n  seed: 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  labels: Schema.optional(Schema.Record(Schema.String, Schema.String)),\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 GeminiPromptFeedback = Schema.StructWithRest(\n  Schema.Struct({\n    blockReason: Schema.optional(Schema.String),\n    blockReasonMessage: Schema.optional(Schema.String),\n    safetyRatings: Schema.optional(Schema.Unknown),\n  }),\n  [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype GeminiPromptFeedback = Schema.Schema.Type<typeof GeminiPromptFeedback>\n\nconst GeminiEvent = Schema.Struct({\n  candidates: optionalArray(GeminiCandidate),\n  promptFeedback: Schema.optional(GeminiPromptFeedback),\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 promptFeedback?: GeminiPromptFeedback\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 root parameter schemas while preserving nested empty objects,\n//    expand type arrays into `anyOf`, derive `nullable: true` from null members,\n//    coerce `const` to `[const]` enum, recurse properties/items, and propagate\n//    only an allowlisted set of keys (description, required, format, type,\n//    nullable, enum, properties, items, allOf, anyOf, oneOf, minLength).\n//    Anything outside the allowlist (e.g. `additionalProperties`, `$ref`) is\n//    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 = ProviderShared.normalizeMedia(part)\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      // Gemini rejects a continuation whose function-response turn carries extra\n      // parts, so an update after a tool result starts its own user turn.\n      if (previous?.role === \"user\" && !previous.parts.some((item) => \"functionResponse\" in item))\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      // Parallel Gemini 3 calls may carry one signature on the first call; unsigned sibling calls are valid.\n      let hasSignedToolCall = false\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          const lowered = lowerToolCall(part)\n          const signature = lowered.thoughtSignature\n          parts.push({\n            ...lowered,\n            thoughtSignature:\n              signature ??\n              (requiresThoughtSignatureFallback(request.model.id) && !hasSignedToolCall\n                ? SKIP_THOUGHT_SIGNATURE_VALIDATOR\n                : undefined),\n          })\n          if (signature !== undefined) hasSignedToolCall = true\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 = ProviderShared.normalizeToolFile(item)\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\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    frequencyPenalty: generation?.frequencyPenalty,\n    presencePenalty: generation?.presencePenalty,\n    seed: generation?.seed,\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 === undefined) return hasToolCalls ? \"tool-calls\" : \"unknown\"\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  const promptBlockReason = state.finishReason === undefined ? state.promptFeedback?.blockReason : undefined\n  const finishReason = state.finishReason ?? promptBlockReason\n  if (finishReason === undefined && state.usage === undefined) return []\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:\n        promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : \"content-filter\",\n      raw: finishReason,\n    },\n    usage: state.usage,\n    providerMetadata:\n      state.promptFeedback === undefined ? undefined : googleMetadata({ promptFeedback: state.promptFeedback }),\n  })\n  return events\n}\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n  const nextState = {\n    ...state,\n    promptFeedback: event.promptFeedback ?? state.promptFeedback,\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 === undefined ? {} : 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 shared by Google AI Studio and 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.js\"\n"
-  ],
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-  "debugId": "B68B2A3FC5FA74E664756E2164756E21",
-  "names": []
-}

bin/chunk-hkt238a8.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/auth/list.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { createClient, loadIntegrations } from \"./shared\"\nimport { errorMessage } from \"../../../ui/prompt\"\n\nexport default Runtime.handler(Commands.commands.auth.commands.list, (input) =>\n  list(input).pipe(\n    Effect.catch((error) =>\n      Effect.sync(() => {\n        process.stderr.write(errorMessage(error) + EOL)\n        process.exitCode = 1\n      }),\n    ),\n  ),\n)\n\nconst list = Effect.fn(\"cli.auth.list\")(function* (input) {\n  const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })\n  const integrations = (yield* loadIntegrations(client)).filter((integration) => integration.connections.length > 0)\n  if (input.format === \"json\") {\n    process.stdout.write(\n      JSON.stringify(\n        integrations.map((integration) => ({\n          id: integration.id,\n          name: integration.name,\n          connections: integration.connections,\n        })),\n        null,\n        2,\n      ) + EOL,\n    )\n    return\n  }\n  const rows = integrations.flatMap((integration) =>\n    integration.connections.map((connection) => ({\n      integration: integration.name,\n      source: connection.type === \"credential\" ? connection.label : connection.name,\n      type: connection.type === \"credential\" ? \"stored\" : \"environment\",\n    })),\n  )\n  if (rows.length === 0) {\n    process.stdout.write(\"No authenticated integrations\" + EOL)\n    return\n  }\n  const width = Math.max(...rows.map((row) => row.integration.length)) + 2\n  process.stdout.write(\n    rows.map((row) => row.integration.padEnd(width) + row.source.padEnd(28) + row.type).join(EOL) + EOL,\n  )\n})\n"
-  ],
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-  "names": []
-}

bin/chunk-hnwr1rqz.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/google-vertex-messages.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema, Struct } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nconst VERSION = \"vertex-2023-10-16\" as const\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.OAuthOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly accessToken?: string\n  readonly apiKey?: never\n  readonly baseURL?: string\n  readonly location?: string\n  readonly project?: string\n  readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n}\n\nconst route = Route.make({\n  id: \"google-vertex-messages\",\n  provider: id,\n  providerMetadataKey: \"anthropic\",\n  protocol: Protocol.make({\n    id: AnthropicMessages.protocol.id,\n    body: {\n      schema: Schema.Struct({\n        ...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, [\"model\"]),\n        anthropic_version: Schema.Literal(VERSION),\n      }),\n      from: (request) =>\n        AnthropicMessages.protocol.body.from(request).pipe(\n          Effect.map((body) => ({\n            ...Struct.omit(body, [\"model\"]),\n            anthropic_version: VERSION,\n          })),\n        ),\n    },\n    stream: AnthropicMessages.protocol.stream,\n  }),\n  endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),\n  auth: Auth.none,\n  framing: AnthropicMessages.framing,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n  if (\"apiKey\" in input && input.apiKey !== undefined)\n    throw new Error(\"Google Vertex Messages does not support API keys\")\n  const {\n    accessToken: _accessToken,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const location = GoogleVertexShared.location(inputLocation, \"global\")\n  const project = GoogleVertexShared.project(inputProject)\n  return route.with({\n    ...rest,\n    endpoint: {\n      baseURL:\n        baseURL ??\n        `https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,\n    },\n    auth: GoogleVertexShared.oauth(input, project),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\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) throw new Error(\"Google Vertex Messages does not support API keys\")\n  return configure({\n    accessToken: settings.accessToken,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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-}

bin/chunk-jq98zm1a.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openai-options.ts"],
-  "sourcesContent": [
-    "import { mergeProviderOptions, type ProviderOptions } from \"../schema/index.js\"\nimport type { OpenResponsesOptionsInput } from \"./open-responses-options.js\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\n\nexport type OpenAIOptionsInput = OpenResponsesOptionsInput\n\nexport type OpenAIProviderOptionsInput = OpenAIOptionsInput\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 result = Object.fromEntries(\n    definedEntries({\n      store: options?.store,\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(result).length === 0) return undefined\n  return result\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.js\"\n"
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bin/chunk-jxr7dway.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": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,MACnC,EAAO,GAAG,mBAAmB,EAAE,SAAU,EAAG,CAC1C,IAAM,EAAY,MAAO,EAAQ,OAAO,MAAO,EAAc,QAAQ,CAAC,EACtE,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
-  "debugId": "8B75BC5F9789FA7764756E2164756E21",
-  "names": []
-}

bin/chunk-kkwpp56p.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/plugin/remove.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Config } from \"../../../config\"\nimport { resolveConfigPath } from \"../mcp/add\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.remove,\n  Effect.fn(\"cli.plugin.remove\")(function* (input) {\n    const global = yield* Global.Service\n    const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n    const server = yield* Effect.promise(() => removePluginConfig(configPath, input.package))\n    const config = yield* Config.Service\n    const info = yield* config.get()\n    const tui = configured(info.plugins, input.package)\n    if (tui)\n      yield* config.update((draft) => {\n        draft.plugins = draft.plugins?.filter((entry) => !matches(entry, input.package))\n      })\n\n    const removed = [server ? configPath : undefined, tui ? config.path : undefined].filter(\n      (file) => file !== undefined,\n    )\n    process.stdout.write(\n      removed.length\n        ? `Plugin \"${input.package}\" removed from ${removed.join(\", \")}${EOL}`\n        : `Plugin \"${input.package}\" is not configured${EOL}`,\n    )\n  }),\n)\n\nexport async function removePluginConfig(configPath: string, spec: string) {\n  const text = await readFile(configPath, \"utf8\").catch((error) => {\n    if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return undefined\n    throw error\n  })\n  if (text === undefined) return false\n  const errors: ParseError[] = []\n  const config: unknown = parse(text, errors, { allowTrailingComma: true })\n  if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n    throw new Error(`Invalid global configuration: ${configPath}`)\n  const plugins = \"plugins\" in config ? config.plugins : undefined\n  if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n  if (!configured(plugins, spec)) return false\n\n  const updated = applyEdits(\n    text,\n    modify(\n      text,\n      [\"plugins\"],\n      plugins?.filter((entry) => !matches(entry, spec)),\n      {\n        formattingOptions: { tabSize: 2, insertSpaces: true },\n      },\n    ),\n  )\n  const temporary = configPath + \".tmp\"\n  await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n  await rename(temporary, configPath)\n  return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n  return plugins?.some((entry) => matches(entry, spec)) ?? false\n}\n\nfunction matches(entry: unknown, spec: string) {\n  return entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec)\n}\n"
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-  "debugId": "447A0D1EB0ED8EF464756E2164756E21",
-  "names": []
-}

bin/chunk-kr4rsz1r.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/google-vertex-shared.ts"],
-  "sourcesContent": [
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-{
-  "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 ${input.name}` + EOL)\n  }),\n)\n"
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-{
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-  "sources": ["../ai/src/providers/azure.ts"],
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input.apiKey : undefined, \"apiKey\")\n      .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n      .pipe(Auth.header(\"api-key\")),\n  )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config, modelID: string | ModelID) =>\n  route.with({\n    auth: auth(input),\n    endpoint: endpoint(input, modelID),\n  })\n\nfunction endpoint(input: Config, modelID: string | ModelID) {\n  const baseURL = ProviderShared.trimBaseUrl(input.baseURL ?? resourceBaseURL(input.resourceName!))\n  const query = { \"api-version\": input.apiVersion ?? \"v1\", ...input.queryParams }\n\n  if (input.useDeploymentBasedUrls) return { baseURL: `${baseURL}/deployments/${modelID}`, query }\n  if (input.baseURL !== undefined && !new URL(input.baseURL).hostname.endsWith(\".openai.azure.com\")) {\n    return { baseURL, query: input.queryParams }\n  }\n  return { baseURL: `${baseURL}/v1`, query }\n}\n\nexport const configure = (input: Config) => {\n  const modelDefaults = defaults(input)\n\n  const responses = (modelID: string | ModelID) =>\n    configuredRoute(responsesRoute, input, modelID)\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  const chat = (modelID: string | ModelID) =>\n    configuredRoute(chatRoute, input, modelID)\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n  return {\n    id,\n    model: responses,\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    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n    useDeploymentBasedUrls: settings.useDeploymentBasedUrls,\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-p6c8edq3.js.map

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bin/chunk-pc6wq1q8.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.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\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 ProviderMetadata,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport * as Cache from \"./utils/cache.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"anthropic-messages\"\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\nexport const DEFAULT_MAX_TOKENS = 32_000\n\nconst SSE_EVENTS = new Set([\n  \"message\",\n  \"message_start\",\n  \"message_delta\",\n  \"message_stop\",\n  \"content_block_start\",\n  \"content_block_delta\",\n  \"content_block_stop\",\n  \"error\",\n])\nexport const framing = Framing.sseEvents(SSE_EVENTS)\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 = OptionsInput\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: optionalNull(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 scrubToolCallID = (id: string) => id.replace(/[^a-zA-Z0-9_-]/g, \"_\")\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n  type: \"tool_use\",\n  id: scrubToolCallID(part.id),\n  name: part.name,\n  input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n  type: \"server_tool_use\",\n  id: scrubToolCallID(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: scrubToolCallID(part.id), content: payload } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerMedia = Effect.fn(\"AnthropicMessages.lowerMedia\")(function* (part: MediaPart) {\n  const media = ProviderShared.normalizeMedia(part)\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  if (!media.mime.startsWith(\"image/\"))\n    return yield* invalid(`Anthropic Messages does not support media type ${part.mediaType}`)\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.fnUntraced(function* (item: Tool.Content) {\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.fnUntraced(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 became available with Opus 4.8 and version\n// 5 of the other supported Claude families. Treat later family versions as\n// compatible without assuming that every Anthropic Messages model is Claude.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => {\n  const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\\d+)(?:[.-](\\d+))?/.exec(\n    String(request.model.id).toLowerCase(),\n  )\n  if (!match) return false\n  const major = Number(match[2])\n  if (match[1] !== \"opus\") return major >= 5\n  if (major !== 4) return major >= 5\n  return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8\n}\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: scrubToolCallID(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    const previous = messages.at(-1)\n    if (previous?.role === \"user\" && previous.content.every((block) => block.type === \"tool_result\"))\n      messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n    else 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\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  // 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 ?? DEFAULT_MAX_TOKENS,\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 ?? undefined\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    if (!state.tools[event.index]) 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 = Effect.fn(\"AnthropicMessages.onMessageStop\")(function* (state: ParserState) {\n  const result = yield* ToolStream.finishAll(ADAPTER, state.tools)\n  const events: LLMEvent[] = []\n  const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n  events.push(...result.events)\n  const finished = Lifecycle.finish(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: finished, tools: result.tools }, events] satisfies StepResult\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 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 shared by Anthropic-compatible and\n * Vertex-hosted Messages routes.\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,\n  headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages.js\"\n"
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-}

bin/chunk-qwdfjeew.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "235810AC52924FC664756E2164756E21",
-  "names": []
-}

bin/chunk-r6fv6c32.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$, 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_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        ...(server ? { answer: { 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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-}

bin/chunk-r7rj41v5.js.map

-{
-  "version": 3,
-  "sources": ["src/server-process.ts", "src/services/service-registration.ts", "src/services/web-ui.ts", "src/app-assets.ts", "src/commands/handlers/serve.ts"],
-  "sourcesContent": [
-    "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions } 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 { Effect, Option, Redacted, Schedule } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { ServiceRegistration } from \"./services/service-registration\"\nimport { Updater } from \"./services/updater\"\nimport { WebUi } from \"./services/web-ui\"\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  const global = yield* Global.Service\n  if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(global.home))\n  return yield* Effect.scoped(\n    Effect.gen(function* () {\n      const foreground = options.mode === \"default\"\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      const incumbent =\n        serviceOptions !== undefined && port !== undefined\n          ? yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })\n          : undefined\n      if (incumbent !== undefined) 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 transform = yield* WebUi.handler()\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\", \"dev\", \"beta\", \"next\", \"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          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(process.env.OPENCODE_FILEWATCHER_DISABLE ?? process.env.OPENCODE_DISABLE_FILEWATCHER),\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              onListen: (address, shutdown) =>\n                Effect.gen(function* () {\n                  if (!config.password) yield* ServiceConfig.password(password)\n                  return yield* ServiceRegistration.register({\n                    address,\n                    password,\n                    id: instanceID,\n                    file: serviceOptions.file,\n                    shutdown,\n                  })\n                }),\n            },\n        transform,\n      ).pipe(\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 (foreground && !environmentPassword) console.log(`server password ${password}`)\n      const updater = yield* Updater.Service\n      yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n      return yield* options.mode === \"service\"\n        ? server.shutdown\n        : options.mode === \"stdio\"\n          ? waitForStdinClose()\n          : Effect.never\n    }).pipe(Effect.annotateLogs({ role: \"server\" })),\n  )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n  const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n    Effect.filterOrFail((value) => value !== undefined),\n    Effect.retry(Schedule.spaced(\"100 millis\")),\n    Effect.timeoutOption(\"15 seconds\"),\n  )\n  return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n  return `http://${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",
-    "export * as ServiceRegistration from \"./service-registration\"\n\nimport { Service, type Info } from \"@opencode-ai/client/effect/service\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { OPENCODE_VERSION } from \"../version\"\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nexport const register = Effect.fnUntraced(function* (options: {\n  readonly address: HttpServer.Address\n  readonly password: string\n  readonly id: string\n  readonly file: string\n  readonly shutdown: Effect.Effect<void>\n}) {\n  const fs = yield* FileSystem.FileSystem\n  const temp = options.file + \".\" + options.id + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(options.file), { recursive: true })\n  const info = {\n    id: options.id,\n    version: OPENCODE_VERSION,\n    url: HttpServer.formatAddress(options.address),\n    pid: process.pid,\n    password: options.password,\n  }\n  const encoded = yield* encodeInfo(info)\n  const current = fs.readFileString(options.file).pipe(Effect.flatMap(decodeInfo))\n  const owns = (found: Info) =>\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, options.file)))\n  yield* current.pipe(\n    Effect.catchCause((cause) =>\n      Effect.logWarning(\"managed service registration check failed; shutting down\", {\n        cause,\n        serviceID: options.id,\n        servicePID: process.pid,\n        registration: options.file,\n      }).pipe(Effect.andThen(Effect.failCause(cause))),\n    ),\n    Effect.tap((found) =>\n      owns(found)\n        ? Effect.void\n        : Effect.logWarning(\"managed service registration replaced; shutting down\", {\n            serviceID: options.id,\n            servicePID: process.pid,\n            registration: options.file,\n            observedServiceID: found.id,\n            observedServicePID: found.pid,\n            observedVersion: found.version,\n            observedURL: found.url,\n          }),\n    ),\n    Effect.filterOrFail(owns),\n    Effect.repeat(Schedule.spaced(\"5 seconds\")),\n    Effect.ignore,\n    Effect.andThen(options.shutdown),\n    Effect.forkScoped,\n  )\n  return current.pipe(\n    Effect.flatMap((found) => (owns(found) ? fs.remove(options.file) : Effect.void)),\n    Effect.ignore,\n  )\n})\n",
-    "import { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { Effect, FileSystem } from \"effect\"\nimport { HttpServerError, HttpServerRequest, HttpServerResponse } from \"effect/unstable/http\"\nimport { createHash } from \"node:crypto\"\nimport { load, type AssetMap } from \"../app-assets\"\n\nexport const handler = Effect.fn(\"cli.web-ui.handler\")(function* (options?: { readonly assets?: AssetMap }) {\n  const fileSystem = yield* FileSystem.FileSystem\n  const assets = options?.assets\n    ? Effect.succeed(options.assets)\n    : yield* Effect.cached(load().pipe(Effect.provideService(FileSystem.FileSystem, fileSystem)))\n  return <E, R>(api: Effect.Effect<HttpServerResponse.HttpServerResponse, E, R>) =>\n    api.pipe(\n      Effect.catchIf(isRouteNotFound, () =>\n        HttpServerRequest.HttpServerRequest.pipe(\n          Effect.flatMap((request) => {\n            const url = new URL(request.url, \"http://localhost\")\n            if (url.pathname === \"/api\" || url.pathname.startsWith(\"/api/\"))\n              return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n            return assets.pipe(Effect.flatMap((files) => serveUI(request, url, files)))\n          }),\n        ),\n      ),\n    )\n})\n\nfunction serveUI(request: HttpServerRequest.HttpServerRequest, url: URL, assets: AssetMap) {\n  const key = url.pathname.replace(/^\\//, \"\")\n  const name = assets[key] !== undefined ? key : \"index.html\"\n  const file = assets[name]\n  if (!file) return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n  if (request.method !== \"GET\" && request.method !== \"HEAD\")\n    return Effect.succeed(HttpServerResponse.empty({ status: 405 }))\n  const html = name === \"index.html\"\n  const headers = {\n    \"content-type\": FSUtil.mimeType(name),\n    \"cache-control\": html ? \"no-cache\" : \"public, max-age=31536000, immutable\",\n    \"content-security-policy\": html\n      ? cspForHtml(typeof file === \"string\" ? file : Buffer.from(file).toString())\n      : csp(),\n    \"x-content-type-options\": \"nosniff\",\n  }\n  return Effect.succeed(\n    request.method === \"HEAD\" ? HttpServerResponse.empty({ headers }) : HttpServerResponse.raw(file, { headers }),\n  )\n}\n\nfunction isRouteNotFound(error: unknown) {\n  return error instanceof HttpServerError.HttpServerError && error.reason._tag === \"RouteNotFound\"\n}\n\nfunction csp(hash = \"\") {\n  return `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'${hash ? ` 'sha256-${hash}'` : \"\"}; style-src 'self' 'unsafe-inline'; img-src 'self' data: https: blob:; font-src 'self' data:; media-src 'self' data:; connect-src * data: blob:`\n}\n\nfunction cspForHtml(body: string) {\n  const match = body.match(\n    /<script\\b(?![^>]*\\bsrc\\s*=)[^>]*\\bid=([\"'])oc-theme-preload-script\\1[^>]*>([\\s\\S]*?)<\\/script>/i,\n  )\n  return csp(match ? createHash(\"sha256\").update(match[2]).digest(\"base64\") : \"\")\n}\n\nexport * as WebUi from \"./web-ui\"\n",
-    "import { Effect, FileSystem, Option } from \"effect\"\nimport path from \"node:path\"\nimport { brotliDecompressSync } from \"node:zlib\"\nimport { OPENCODE_LOCAL } from \"./version\"\n\nexport type AssetMap = Readonly<Record<string, string | Uint8Array>>\ntype EncodedAssetMap = Readonly<Record<string, { readonly content: string; readonly encoding: \"utf8\" | \"base64\" }>>\n\nexport const load = Effect.fn(\"cli.app-assets.load\")(function* () {\n  const embedded = yield* Effect.tryPromise(() => import(\"virtual:opencode-app-assets\")).pipe(Effect.option)\n  if (Option.isSome(embedded) && embedded.value.default.length > 0) return decodeArchive(embedded.value.default)\n  if (!OPENCODE_LOCAL) return yield* Effect.fail(new Error(\"Web UI assets are missing from the CLI build\"))\n  return decode(yield* sourceAssets())\n})\n\nfunction decodeArchive(archive: string) {\n  const body = brotliDecompressSync(Buffer.from(archive, \"base64\")).toString()\n  return decode(JSON.parse(body) as EncodedAssetMap)\n}\n\nconst sourceAssets = Effect.fnUntraced(function* () {\n  const fs = yield* FileSystem.FileSystem\n  const root = path.resolve(import.meta.dirname, \"../../app/dist\")\n  const files = yield* fs.readDirectory(root, { recursive: true })\n  return Object.fromEntries(\n    (yield* Effect.forEach(\n      files.filter((file) => !file.endsWith(\".map\")),\n      Effect.fnUntraced(function* (file) {\n        const target = path.join(root, file)\n        if ((yield* fs.stat(target)).type === \"Directory\") return\n        const body = Buffer.from(yield* fs.readFile(target))\n        const encoding = isText(file) ? \"utf8\" : \"base64\"\n        return [file, { encoding, content: body.toString(encoding) }] as const\n      }),\n      { concurrency: \"unbounded\" },\n    )).filter((asset) => asset !== undefined),\n  )\n})\n\nfunction decode(assets: EncodedAssetMap): AssetMap {\n  return Object.fromEntries(\n    Object.entries(assets).map(([key, asset]) => [\n      key,\n      asset.encoding === \"utf8\" ? asset.content : Buffer.from(asset.content, \"base64\"),\n    ]),\n  )\n}\n\nfunction isText(file: string) {\n  return file === \"_headers\" || /\\.(?:css|html|js|json|svg|txt|webmanifest|xml)$/.test(file)\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": "517025EEE175AD9D64756E2164756E21",
-  "names": []
-}

bin/chunk-rcg01exc.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/unset.ts"],
-  "sourcesContent": [
-    "import { 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.unset,\n  Effect.fn(\"cli.service.unset\")(function* (input) {\n    yield* ServiceConfig.unset(input.key, Option.getOrUndefined(input.name))\n  }),\n)\n"
-  ],
-  "mappings": ";02BAKA,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,MACnC,EAAO,GAAG,mBAAmB,EAAE,SAAU,CAAC,EAAO,CAC/C,MAAO,EAAc,MAAM,EAAM,IAAK,EAAO,eAAe,EAAM,IAAI,CAAC,EACxE,CACH",
-  "debugId": "A1CEECC7CFEEDC6A64756E2164756E21",
-  "names": []
-}

bin/chunk-t30qh26r.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": ";mhCAKA,IAAe,IAAQ,QAAQ,EAAS,SAAS,IAAK,CAAC,IACrD,EAAO,IAAI,SAAU,EAAG,CACtB,IAAQ,qBAAsB,MAAO,EAAO,QAAQ,IAAa,wCAAgB,EAC3E,EAAY,QAAQ,KAAK,QAAQ,KAAM,CAAC,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": "10082978DDDDFD3C64756E2164756E21",
-  "names": []
-}

bin/chunk-tgfy046w.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/amazon-bedrock-mantle.ts"],
-  "sourcesContent": [
-    "import { Auth } from \"../route/auth.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAIChat } from \"../protocols/openai-chat.js\"\nimport { OpenAIResponses } from \"../protocols/openai-responses.js\"\nimport { BedrockAuth, type Credentials } from \"../protocols/utils/bedrock-auth.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly credentials?: Credentials\n  readonly region?: string\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly auth?: \"bearer\" | \"sigv4\"\n  readonly baseURL?: string\n  readonly credentials?: Credentials\n  readonly region?: string\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"bedrock-mantle-responses\",\n  provider: id,\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"bedrock-mantle-chat\",\n  provider: id,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) => {\n  const region = input.region ?? input.credentials?.region ?? \"us-east-1\"\n  const credentials = input.credentials === undefined ? undefined : { ...input.credentials, region }\n  return route.with({\n    endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },\n    auth:\n      input.apiKey === undefined\n        ? BedrockAuth.sigV4(credentials, { service: \"bedrock-mantle\", name: \"Bedrock Mantle\" })\n        : Auth.bearer(input.apiKey),\n  })\n}\n\nconst defaults = (input: Config) => {\n  const { apiKey: _, baseURL: _baseURL, credentials: _credentials, region: _region, ...rest } = input\n  return rest\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  const responses = (modelID: string | ModelID) =>\n    configuredResponsesRoute\n      .with(withOpenAIOptions(modelID, modelDefaults))\n      .model<OpenAIProviderOptionsInput>({ id: modelID })\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: chat,\n    chat,\n    responses,\n    configure,\n  }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n  if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n    throw new Error(\"Amazon Bedrock Mantle bearer auth requires apiKey\")\n  if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n    throw new Error(\"Amazon Bedrock Mantle SigV4 auth does not accept apiKey\")\n  return {\n    apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n    baseURL: settings.baseURL,\n    credentials: settings.credentials,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    providerOptions: settings.providerOptions,\n    region: settings.region,\n  }\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).chat(modelID)\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => configure(config(settings)).responses(modelID)\nexport const model = chatModel\n"
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bin/chunk-thbj4dkt.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openrouter.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { ProviderID, type CacheHint, type ModelID } from \"../schema/index.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache.js\"\nimport { isRecord } from \"../protocols/shared.js\"\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 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 = OpenRouterOptions\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),\n            ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\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  }\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    providerOptions: settings.providerOptions,\n  }).model(modelID)\n"
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bin/chunk-v68djk7t.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/lifecycle.ts", "../ai/src/protocols/utils/gemini-tool-schema.ts", "../ai/src/protocols/utils/tool-schema.ts"],
-  "sourcesContent": [
-    "import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from \"../../schema/index.js\"\n\nexport interface State {\n  readonly stepStarted: boolean\n  readonly text: ReadonlySet<string>\n  readonly reasoning: ReadonlySet<string>\n}\n\nexport const initial = (): State => ({ stepStarted: false, text: new Set(), reasoning: new Set() })\n\nexport const stepStart = (state: State, events: LLMEvent[]): State => {\n  if (state.stepStarted) return state\n  events.push(LLMEvent.stepStart({ index: 0 }))\n  return { ...state, stepStarted: true }\n}\n\nexport const textStart = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n  if (state.text.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.textStart({ id, providerMetadata }))\n  return { ...stepped, text: new Set([...stepped.text, id]) }\n}\n\nexport const textDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {\n  const started = textStart(state, events, id)\n  events.push(LLMEvent.textDelta({ id, text }))\n  return started\n}\n\nexport const reasoningStart = (\n  state: State,\n  events: LLMEvent[],\n  id: string,\n  providerMetadata?: ProviderMetadata,\n): State => {\n  if (state.reasoning.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.reasoningStart({ id, providerMetadata }))\n  return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }\n}\n\nexport const reasoningDelta = (\n  state: State,\n  events: LLMEvent[],\n  id: string,\n  text: string,\n  providerMetadata?: ProviderMetadata,\n): State => {\n  const started = reasoningStart(state, events, id, providerMetadata)\n  events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))\n  return started\n}\n\nexport const reasoningEnd = (\n  state: State,\n  events: LLMEvent[],\n  id: string,\n  providerMetadata?: ProviderMetadata,\n): State => {\n  if (!state.reasoning.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.reasoningEnd({ id, providerMetadata }))\n  const reasoning = new Set(stepped.reasoning)\n  reasoning.delete(id)\n  return { ...stepped, reasoning }\n}\n\nexport const textEnd = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n  if (!state.text.has(id)) return state\n  const stepped = stepStart(state, events)\n  events.push(LLMEvent.textEnd({ id, providerMetadata }))\n  const text = new Set(stepped.text)\n  text.delete(id)\n  return { ...stepped, text }\n}\n\nconst closeOpenBlocks = (state: State, events: LLMEvent[]): State => {\n  for (const id of state.reasoning) events.push(LLMEvent.reasoningEnd({ id }))\n  for (const id of state.text) events.push(LLMEvent.textEnd({ id }))\n  return { ...state, text: new Set(), reasoning: new Set() }\n}\n\nexport const finish = (\n  state: State,\n  events: LLMEvent[],\n  input: {\n    readonly reason: FinishReasonDetails\n    readonly usage?: Usage\n    readonly providerMetadata?: ProviderMetadata\n  },\n): State => {\n  const stepped = closeOpenBlocks(stepStart(state, events), events)\n  events.push(\n    LLMEvent.stepFinish({\n      index: 0,\n      reason: input.reason,\n      usage: input.usage,\n      providerMetadata: input.providerMetadata,\n    }),\n    LLMEvent.finish(input),\n  )\n  return { ...stepped, stepStarted: false }\n}\n\nexport * as Lifecycle from \"./lifecycle.js\"\n",
-    "import { isRecord } from \"../../utils/record.js\"\n\n// Gemini accepts a JSON Schema-like dialect for tool parameters, but rejects a\n// handful of common JSON Schema shapes. Keep this projection isolated so the\n// Gemini protocol file still reads like the other protocol modules.\nconst SCHEMA_INTENT_KEYS = [\n  \"type\",\n  \"properties\",\n  \"items\",\n  \"prefixItems\",\n  \"enum\",\n  \"const\",\n  \"$ref\",\n  \"additionalProperties\",\n  \"patternProperties\",\n  \"required\",\n  \"not\",\n  \"if\",\n  \"then\",\n  \"else\",\n]\n\nconst hasCombiner = (schema: unknown) =>\n  isRecord(schema) && (Array.isArray(schema.anyOf) || Array.isArray(schema.oneOf) || Array.isArray(schema.allOf))\n\nconst hasSchemaIntent = (schema: unknown) =>\n  isRecord(schema) && (hasCombiner(schema) || SCHEMA_INTENT_KEYS.some((key) => key in schema))\n\nconst sanitizeNode = (schema: unknown): unknown => {\n  if (!isRecord(schema)) return Array.isArray(schema) ? schema.map(sanitizeNode) : schema\n\n  const result: Record<string, unknown> = Object.fromEntries(\n    Object.entries(schema).map(([key, value]) => [\n      key,\n      key === \"enum\" && Array.isArray(value) ? value.map(String) : sanitizeNode(value),\n    ]),\n  )\n\n  if (Array.isArray(result.enum) && (result.type === \"integer\" || result.type === \"number\")) result.type = \"string\"\n\n  const properties = result.properties\n  if (result.type === \"object\" && isRecord(properties) && Array.isArray(result.required)) {\n    result.required = result.required.filter((field) => typeof field === \"string\" && field in properties)\n  }\n\n  if (result.type === \"array\" && !hasCombiner(result)) {\n    result.items = result.items ?? {}\n    if (isRecord(result.items) && !hasSchemaIntent(result.items)) result.items = { ...result.items, type: \"string\" }\n  }\n\n  if (typeof result.type === \"string\" && result.type !== \"object\" && !hasCombiner(result)) {\n    delete result.properties\n    delete result.required\n  }\n\n  return result\n}\n\nconst emptyObjectSchema = (schema: Record<string, unknown>) =>\n  schema.type === \"object\" &&\n  (!isRecord(schema.properties) || Object.keys(schema.properties).length === 0) &&\n  !schema.additionalProperties\n\nconst projectNode = (schema: unknown, nested = false): Record<string, unknown> | undefined => {\n  if (!isRecord(schema)) return undefined\n  if (!nested && emptyObjectSchema(schema)) return undefined\n  const types = Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\") : undefined\n  const anyOf = Array.isArray(schema.anyOf) ? schema.anyOf : undefined\n  const hasNullAnyOf = anyOf?.some((item) => isRecord(item) && item.type === \"null\") ?? false\n  const anyOfTypes = hasNullAnyOf ? anyOf?.filter((item) => !isRecord(item) || item.type !== \"null\") : anyOf\n  const flattenedAnyOf = hasNullAnyOf && anyOfTypes?.length === 1 ? projectNode(anyOfTypes[0], true) : undefined\n  const result = Object.fromEntries(\n    [\n      [\"description\", schema.description],\n      [\"required\", schema.required],\n      [\"format\", schema.format],\n      [\"type\", types ? (types.length === 0 ? \"null\" : undefined) : schema.type],\n      [\n        \"nullable\",\n        (Array.isArray(schema.type) && schema.type.includes(\"null\") && types && types.length > 0) || hasNullAnyOf\n          ? true\n          : undefined,\n      ],\n      [\"enum\", schema.const !== undefined ? [schema.const] : schema.enum],\n      [\n        \"properties\",\n        isRecord(schema.properties)\n          ? Object.fromEntries(Object.entries(schema.properties).map(([key, value]) => [key, projectNode(value, true)]))\n          : undefined,\n      ],\n      [\n        \"items\",\n        Array.isArray(schema.items)\n          ? schema.items.map((item) => projectNode(item, true))\n          : schema.items === undefined\n            ? undefined\n            : projectNode(schema.items, true),\n      ],\n      [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map((item) => projectNode(item, true)) : undefined],\n      [\n        \"anyOf\",\n        anyOfTypes\n          ? hasNullAnyOf && anyOfTypes.length === 1\n            ? undefined\n            : anyOfTypes.map((item) => projectNode(item, true))\n          : types && types.length > 0\n            ? types.map((type) => ({ type }))\n            : undefined,\n      ],\n      [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map((item) => projectNode(item, true)) : undefined],\n      [\"minLength\", schema.minLength],\n    ].filter((entry) => entry[1] !== undefined),\n  )\n  return flattenedAnyOf ? { ...result, ...flattenedAnyOf } : result\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema.js\"\n",
-    "import type { JsonSchema, LanguageModelToolSchemaCompatibility } from \"../../schema/index.js\"\nimport { isRecord } from \"../../utils/record.js\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema.js\"\n\nconst removeNullSchemas = (value: unknown): unknown => {\n  if (Array.isArray(value)) return value.map(removeNullSchemas)\n  if (!isRecord(value)) return value\n  const fields = Object.fromEntries(\n    Object.entries(value)\n      .filter(([key]) => key !== \"anyOf\")\n      .map(([key, field]) => [key, removeNullSchemas(field)]),\n  )\n  if (!Array.isArray(value.anyOf)) return fields\n  const variants = value.anyOf.filter((variant) => !isRecord(variant) || variant.type !== \"null\").map(removeNullSchemas)\n  if (variants.length === 1 && isRecord(variants[0])) return { ...fields, ...variants[0] }\n  return { ...fields, anyOf: variants }\n}\n\nconst tupleItemsSchema = (items: ReadonlyArray<unknown>) => {\n  const projected = items.map(moonshotNode)\n  if (projected.length === 0) return {}\n  if (projected.length === 1) return projected[0]\n  return { anyOf: projected }\n}\n\nconst moonshotNode = (schema: unknown): unknown => {\n  if (Array.isArray(schema)) return schema.map(moonshotNode)\n  if (!isRecord(schema)) return schema\n  if (typeof schema.$ref === \"string\") return { $ref: schema.$ref }\n  return Object.fromEntries(\n    Object.entries(schema).flatMap(([key, value]) => {\n      if (key === \"items\" && Array.isArray(value)) return [[key, tupleItemsSchema(value)]]\n      if (key === \"prefixItems\") {\n        if (\"items\" in schema) return []\n        return [[\"items\", tupleItemsSchema(Array.isArray(value) ? value : [])]]\n      }\n      if (key === \"unevaluatedItems\") return []\n      return [[key, moonshotNode(value)]]\n    }),\n  )\n}\n\nconst moonshot = (schema: JsonSchema): JsonSchema => {\n  const projected = moonshotNode(schema)\n  return isRecord(projected) ? projected : {}\n}\n\nconst openAI = (schema: JsonSchema): JsonSchema => {\n  const variants = Array.isArray(schema.anyOf) ? schema.anyOf.filter(isRecord) : []\n  const flattened =\n    variants.length === 0\n      ? { ...schema, type: \"object\" }\n      : {\n          ...Object.fromEntries(Object.entries(schema).filter(([key]) => key !== \"anyOf\")),\n          type: \"object\",\n          properties: variants.reduce(\n            (properties, variant) => ({ ...(isRecord(variant.properties) ? variant.properties : {}), ...properties }),\n            {},\n          ),\n          additionalProperties: false,\n        }\n  const normalized = removeNullSchemas(flattened)\n  return isRecord(normalized) ? normalized : { type: \"object\" }\n}\n\nconst responses = openAI\n\nconst gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n  schema: JsonSchema,\n  compatibility: LanguageModelToolSchemaCompatibility | undefined,\n): JsonSchema => {\n  if (compatibility === undefined) return schema\n  switch (compatibility) {\n    case \"gemini\":\n      return gemini(schema)\n    case \"moonshot\":\n      return moonshot(schema)\n  }\n}\n\nexport const ToolSchemaProjection = {\n  gemini,\n  modelCompatibility,\n  moonshot,\n  openAI,\n  responses,\n} as const\n"
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-}

bin/chunk-v8csw3x7.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/google-vertex-chat.ts"],
-  "sourcesContent": [
-    "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleChat } from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.OAuthOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly accessToken?: string\n  readonly apiKey?: never\n  readonly baseURL?: string\n  readonly location?: string\n  readonly project?: string\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst route = OpenAICompatibleChat.route.with({\n  id: \"google-vertex-chat\",\n  provider: id,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n  if (\"apiKey\" in input && input.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n  const {\n    accessToken: _accessToken,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const location = GoogleVertexShared.location(inputLocation, \"global\")\n  const project = GoogleVertexShared.project(inputProject)\n  return route.with({\n    ...rest,\n    endpoint: {\n      baseURL:\n        baseURL ??\n        `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n    },\n    auth: GoogleVertexShared.oauth(input, project),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n  return configure({\n    accessToken: settings.accessToken,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
-  ],
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bin/chunk-vtqz9kpx.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/export.ts"],
-  "sourcesContent": [
-    "import { autocomplete, cancel, intro, isCancel, log, outro } from \"@clack/prompts\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../ui/prompt\"\n\nexport default Runtime.handler(\n  Commands.commands.export,\n  Effect.fn(\"cli.export\")((input) =>\n    Effect.gen(function* () {\n      const requested = Option.getOrUndefined(input.session)\n      if (!requested && !process.stdin.isTTY) {\n        yield* Effect.fail(new Error(\"Pass a session ID when running without an interactive terminal\"))\n      }\n      const server = yield* ServerConnection.resolve({\n        server: Option.getOrUndefined(input.server),\n        standalone: input.standalone,\n      })\n      const client = OpenCode.make({\n        baseUrl: server.endpoint.url,\n        headers: Service.headers(server.endpoint),\n      })\n      const sessionID = requested\n        ? requested\n        : yield* Effect.gen(function* () {\n            intro(\"Export session\", { output: process.stderr })\n            const location = yield* Effect.tryPromise({\n              try: () => client.location.get({ location: { directory: process.cwd() } }),\n              catch: (cause) => cause,\n            })\n            const page = yield* Effect.tryPromise({\n              try: () =>\n                client.session.list({\n                  directory: location.directory,\n                  workspace: location.workspaceID,\n                  parentID: null,\n                  order: \"desc\",\n                  limit: 50,\n                }),\n              catch: (cause) => cause,\n            })\n            if (page.data.length === 0) {\n              log.error(\"No sessions found\", { output: process.stderr })\n              outro(\"Done\", { output: process.stderr })\n              return undefined\n            }\n            const selected = yield* Effect.tryPromise({\n              try: () =>\n                autocomplete({\n                  message: \"Select session to export\",\n                  maxItems: 10,\n                  options: page.data.map((session) => ({\n                    label: session.title,\n                    value: session.id,\n                    hint: `${new Date(session.time.updated).toLocaleString()} - ${session.id.slice(-8)}`,\n                  })),\n                  output: process.stderr,\n                }),\n              catch: (cause) => cause,\n            })\n            if (isCancel(selected)) {\n              cancel(\"Cancelled\", { output: process.stderr })\n              process.exitCode = 130\n              return undefined\n            }\n            outro(\"Exporting session...\", { output: process.stderr })\n            return selected\n          })\n      if (!sessionID) return\n      const data = yield* Effect.tryPromise({\n        try: () => client.session.export({ sessionID, sanitize: input.sanitize }),\n        catch: (cause) => cause,\n      })\n      process.stdout.write(JSON.stringify(data, null, 2) + EOL)\n    }).pipe(\n      Effect.catch((error) =>\n        Effect.sync(() => {\n          process.stderr.write(errorMessage(error) + EOL)\n          process.exitCode = 1\n        }),\n      ),\n    ),\n  ),\n)\n"
-  ],
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-  "names": []
-}

bin/chunk-w5jbkh6b.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/auth/shared.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { OpenCode, type IntegrationInfo, type IntegrationMethod, type OpenCodeClient } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../../services/server-connection\"\n\nexport const location = { directory: process.cwd() }\n\nexport const createClient = Effect.fn(\"cli.auth.client\")(function* (input: ServerConnection.Args) {\n  const server = yield* ServerConnection.resolve(input)\n  return OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n})\n\nexport function request<A>(run: (signal: AbortSignal) => Promise<A>) {\n  return Effect.tryPromise({ try: run, catch: (cause) => cause })\n}\n\nexport const loadIntegrations = Effect.fn(\"cli.auth.integrations\")(function* (client: OpenCodeClient) {\n  // The model endpoint is the existing public readiness boundary for the initial plugin generation.\n  yield* request((signal) => client.model.default({ location }, { signal }))\n  return yield* request((signal) => client.integration.list({ location }, { signal })).pipe(\n    Effect.map((response) => response.data),\n  )\n})\n\nexport const resolveIntegration = Effect.fn(\"cli.auth.resolve-integration\")(function* (\n  integrations: IntegrationInfo[],\n  target: string,\n) {\n  const normalized = target.replace(/\\/+$/, \"\")\n  const byID = integrations.find((integration) => integration.id === normalized)\n  if (byID) return byID\n  const matches = integrations.filter((integration) => integration.name.toLowerCase() === normalized.toLowerCase())\n  if (matches.length === 1) return matches[0]\n  if (matches.length > 1) {\n    return yield* Effect.fail(\n      new Error(\n        `Integration name \"${target}\" is ambiguous: ${matches.map((integration) => integration.id).join(\", \")}`,\n      ),\n    )\n  }\n  return yield* Effect.fail(new Error(`Integration not found: ${target}`))\n})\n\nexport type ConnectMethod = Exclude<IntegrationMethod, { type: \"env\" }>\n\nexport function connectMethods(integration: IntegrationInfo) {\n  return integration.methods\n    .filter((method): method is ConnectMethod => method.type !== \"env\")\n    .toSorted((a, b) => Number(a.type === \"key\") - Number(b.type === \"key\"))\n}\n\nexport const resolveMethod = Effect.fn(\"cli.auth.resolve-method\")(function* (methods: ConnectMethod[], target: string) {\n  const normalized = target.toLowerCase()\n  const matches = methods.filter((method) => {\n    if (method.type === \"key\") return normalized === \"key\" || method.label?.toLowerCase() === normalized\n    return method.id === target || method.label.toLowerCase() === normalized\n  })\n  if (matches.length === 1) return matches[0]\n  if (matches.length > 1) return yield* Effect.fail(new Error(`Authentication method \"${target}\" is ambiguous`))\n  const available = methods.map((method) => (method.type === \"key\" ? \"key\" : method.id)).join(\", \")\n  return yield* Effect.fail(\n    new Error(`Authentication method not found: ${target}${available ? `. Available: ${available}` : \"\"}`),\n  )\n})\n"
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-  "debugId": "069B500AAF7BA0BC64756E2164756E21",
-  "names": []
-}

bin/chunk-w7xrg397.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": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,QACnC,EAAO,GAAG,qBAAqB,EAAE,SAAU,EAAG,CAC5C,IAAM,EAAU,MAAO,EAAc,QAAQ,EAC7C,MAAO,EAAQ,KAAK,CAAO,EAC3B,IAAM,EAAY,MAAO,EAAQ,OAAO,CAAO,EAC/C,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
-  "debugId": "492E64B4907FCEDD64756E2164756E21",
-  "names": []
-}

bin/chunk-wayg5257.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/openai-compatible-responses.ts", "../ai/src/providers/google-vertex-responses.ts"],
-  "sourcesContent": [
-    "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst ADAPTER = \"openai-compatible-responses\"\n\nexport type OpenAICompatibleResponsesLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Deployment adapter for providers that expose an Open Responses-compatible\n * `/responses` endpoint. Provider helpers configure identity, endpoint, and\n * auth while the semantic protocol remains provider-neutral.\n */\nexport const route = Route.make({\n  id: ADAPTER,\n  providerMetadataKey: \"openresponses\",\n  protocol: OpenResponses.protocol,\n  endpoint: Endpoint.path(OpenResponses.PATH),\n  transport: OpenResponses.httpTransport,\n})\n\nexport * as OpenAICompatibleResponses from \"./openai-compatible-responses.js\"\n",
-    "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleResponses } from \"../protocols/openai-compatible-responses.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenResponsesProviderOptionsInput } from \"./open-responses-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n  GoogleVertexShared.OAuthOptions & {\n    readonly baseURL?: string\n    readonly location?: string\n    readonly project?: string\n    readonly providerOptions?: OpenResponsesProviderOptionsInput\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly accessToken?: string\n  readonly apiKey?: never\n  readonly baseURL?: string\n  readonly location?: string\n  readonly project?: string\n  readonly providerOptions?: OpenResponsesProviderOptionsInput\n}\n\nconst route = OpenAICompatibleResponses.route.with({\n  id: \"google-vertex-responses\",\n  provider: id,\n  providerOptions: { store: false },\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n  if (\"apiKey\" in input && input.apiKey !== undefined)\n    throw new Error(\"Google Vertex Responses does not support API keys\")\n  const {\n    accessToken: _accessToken,\n    auth: _auth,\n    baseURL,\n    location: inputLocation,\n    project: inputProject,\n    ...rest\n  } = input\n  const location = GoogleVertexShared.location(inputLocation, \"global\")\n  const project = GoogleVertexShared.project(inputProject)\n  return route.with({\n    ...rest,\n    endpoint: {\n      baseURL:\n        baseURL ??\n        `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n    },\n    auth: GoogleVertexShared.oauth(input, project),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>[\"model\"] = (\n  modelID,\n  settings,\n) => {\n  if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Responses does not support API keys\")\n  return configure({\n    accessToken: settings.accessToken,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    location: settings.location,\n    project: settings.project,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n}\n"
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-  "debugId": "7AFC6CB37DB3FEC864756E2164756E21",
-  "names": []
-}

bin/chunk-xbmtsn54.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/google-images.ts", "../ai/src/providers/google.ts"],
-  "sourcesContent": [
-    "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.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n  type ProviderMetadata,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\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.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { GoogleImages } from \"../protocols/google-images.js\"\n\nexport type { GoogleImageOptions } from \"../protocols/google-images.js\"\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    providerOptions: settings.providerOptions,\n  }).model(modelID)\n\nexport const image = provider.image\n"
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-}

bin/chunk-yhp47d8z.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/image-input.ts"],
-  "sourcesContent": [
-    "import { Effect, Encoding } from \"effect\"\nimport type { ImageInput } from \"../../image.js\"\nimport { InvalidRequestReason, AIError } from \"../../schema/index.js\"\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-ymzv2x3b.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\"\nimport { Env } from \"../env\"\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({\n    baseUrl: endpoint.url,\n    headers: Service.headers(endpoint),\n    // Bun's default five-minute deadline terminates the event stream used by long-running sessions.\n    fetch: ((request: RequestInfo | URL, init?: RequestInit) =>\n      fetch(request, { ...init, timeout: false } as BunFetchRequestInit)) as typeof fetch,\n  })\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    environment: input.server.service ? Env.session() : undefined,\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.inbox.delivered\") {\n        if (event.data.inboxID === 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.id), {\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.id))\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.id))\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.id)\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.id))\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.id)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.id,\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          partID: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          id: event.data.id,\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.id)\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.id,\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          partID: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          id: event.data.id,\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 (input.compatibility === \"v1\" && event.data.error.message === \"The provider response ended unexpectedly.\") {\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-${ordinal}`),\n            sessionID: input.sessionID,\n            messageID: message.id,\n            type: \"reasoning\",\n            text,\n            metadata: item.state,\n            time: { start: message.time.created, end: timestamp },\n          }\n          renderedReasoning.set(key, item.text)\n          writeReasoning(part, timestamp)\n          continue\n        }\n\n        const key = toolKey(message.id, item.id)\n        if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n        const part: MiniToolPart = {\n          partID: projectedPartID(message.id, `tool-${item.id}`),\n          sessionID: input.sessionID,\n          messageID: message.id,\n          type: \"tool\",\n          id: 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_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, id: string) {\n  return `${messageID}\\u0000${id}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n  return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n  return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n  id: string\n  created: number\n  data: { assistantMessageID: string; id: string }\n}): ToolState {\n  return {\n    id: partID(event.id),\n    timestamp: toMillis(event.created),\n    assistantMessageID: event.data.assistantMessageID,\n    tool: \"tool\",\n    input: {},\n    metadata: {},\n    content: [],\n  }\n}\n\nfunction toMillis(value: unknown) {\n  if (typeof value === \"number\") return value\n  if (typeof value === \"string\") return new Date(value).getTime()\n  return Date.now()\n}\n\nasync function prepareFile(file: File) {\n  if (file.mime !== \"text/plain\") {\n    const uri = file.url.startsWith(\"data:\")\n      ? file.url\n      : `data:${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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-  "debugId": "EF40D88F9AB7CFE564756E2164756E21",
-  "names": []
-}

bin/chunk-ynyaf5zp.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,kBACjD,EAAiD,MAGhD,IAAM,EAAiB",
-  "debugId": "AA979E61E726431064756E2164756E21",
-  "names": []
-}

bin/chunk-ypmkfaz3.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.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n  InvalidProviderOutputReason,\n  AIError,\n  Usage,\n  mergeHttpOptions,\n  mergeJsonRecords,\n  type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\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.js\"\nimport type { Route, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images.js\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options.js\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images.js\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, 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 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 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 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    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    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  return configure(config(settings)).responses(modelID)\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 chat = provider.chat\nexport const image = provider.image\n"
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-}

bin/chunk-yrnwfgb1.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/openai-image.ts", "../ai/src/protocols/open-responses-channel.ts", "../ai/src/protocols/openai-responses-channel.ts", "../ai/src/protocols/openai-responses.ts"],
-  "sourcesContent": [
-    "import { Schema } from \"effect\"\n\nconst dimensions = (value: string) => {\n  const match = /^(\\d+)x(\\d+)$/.exec(value)\n  if (!match) return undefined\n  return { width: Number(match[1]), height: Number(match[2]) }\n}\n\nexport const Size = Schema.String.check(\n  Schema.makeFilter((value) => {\n    if (value === \"auto\") return undefined\n    const parsed = dimensions(value)\n    if (!parsed) return \"image size must be `auto` or `{width}x{height}`\"\n    return parsed.width > 0 && parsed.height > 0 ? undefined : \"image dimensions must be positive integers\"\n  }),\n)\n\nexport const OpenAIImage = {\n  Size,\n} as const\n",
-    "import { Effect, Schema, Stream } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Framing } from \"../route/framing.js\"\nimport {\n  HttpTransport,\n  WebSocketTransport,\n  type Transport,\n  type WebSocketChannelDriver,\n  type WebSocketChannelExchange,\n} from \"../route/transport/index.js\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst WebSocketResponseCreate = Schema.StructWithRest(Schema.Struct({ type: Schema.tag(\"response.create\") }), [\n  Schema.Record(Schema.String, Schema.Unknown),\n])\nconst decodeMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(WebSocketResponseCreate))\nconst encodeMessage = Schema.encodeSync(Schema.fromJsonString(WebSocketResponseCreate))\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\nexport interface Options {\n  readonly id: string\n  readonly name: string\n  readonly rotateAfterMs?: number\n  readonly headers?: (headers: Headers.Headers) => Headers.Headers\n  readonly driver?: (input: {\n    readonly request: Readonly<Record<string, unknown>>\n    readonly message: string\n    readonly base: WebSocketChannelDriver\n  }) => WebSocketChannelDriver\n}\n\nexport interface Prepared {\n  readonly http: HttpTransport.HttpPrepared<string>\n  readonly channel?: {\n    readonly url: string\n    readonly headers: Headers.Headers\n    readonly rotateAfterMs?: number\n    readonly driver: WebSocketChannelDriver\n  }\n}\n\nconst message = (body: unknown) =>\n  Effect.gen(function* () {\n    if (!ProviderShared.isRecord(body))\n      return yield* ProviderShared.invalidRequest(\"Open Responses WebSocket body must be a JSON object\")\n    const { stream: _stream, stream_options: _streamOptions, background: _background, ...request } = body\n    const decoded = yield* decodeMessage({ ...request, type: \"response.create\" })\n    return { request: decoded, message: encodeMessage(decoded) }\n  })\n\nconst driver = (options: Options, body: string): WebSocketChannelDriver => {\n  let responseID: string | undefined\n  let terminal = false\n  return {\n    create: () =>\n      Effect.sync(() => {\n        responseID = undefined\n        terminal = false\n        return { message: body, mode: \"full\" }\n      }),\n    observe: (_create, frame) =>\n      Effect.gen(function* () {\n        const event = yield* decodeEvent(frame).pipe(\n          Effect.mapError(() =>\n            ProviderShared.eventError(options.id, `Invalid ${options.name} WebSocket event`, frame),\n          ),\n        )\n        if (terminal)\n          return yield* ProviderShared.eventError(\n            options.id,\n            `${options.name} emitted ${event.type} after a terminal event`,\n            frame,\n          )\n        if (event.type === \"error\") {\n          terminal = true\n          yield* OpenResponses.decodeKnownErrorEvent(event).pipe(\n            Effect.mapError(() =>\n              ProviderShared.eventError(options.id, `${options.name} returned a malformed error event`, frame),\n            ),\n          )\n          return {\n            type: \"provider-failure\",\n            error: OpenResponses.providerFailure(options.id, event, `${options.name} stream error`),\n          }\n        }\n        if (event.type === \"response.failed\") {\n          terminal = true\n          if (responseID && event.response?.id && event.response.id !== responseID)\n            return yield* ProviderShared.eventError(\n              options.id,\n              `${options.name} response ID changed during execution`,\n              frame,\n            )\n          return {\n            type: \"provider-failure\",\n            error: OpenResponses.providerFailure(options.id, event, `${options.name} response failed`),\n          }\n        }\n        if (event.type === \"response.created\") {\n          const created = event.response?.id\n          if (responseID)\n            return yield* ProviderShared.eventError(\n              options.id,\n              `${options.name} emitted duplicate response.created`,\n              frame,\n            )\n          if (!created)\n            return yield* ProviderShared.eventError(\n              options.id,\n              `${options.name} response.created is missing response.id`,\n              frame,\n            )\n          responseID = created\n          return { type: \"frame\", frame }\n        }\n        if (!responseID)\n          return yield* ProviderShared.eventError(\n            options.id,\n            `${options.name} emitted ${event.type} before response.created`,\n            frame,\n          )\n        if (event.response?.id && event.response.id !== responseID)\n          return yield* ProviderShared.eventError(\n            options.id,\n            `${options.name} response ID changed during execution`,\n            frame,\n          )\n        if (event.type === \"response.completed\") {\n          terminal = true\n          return { type: \"completed\", frame }\n        }\n        if (event.type === \"response.incomplete\") {\n          terminal = true\n          return { type: \"incomplete\", frame }\n        }\n        return { type: \"frame\", frame }\n      }),\n  }\n}\n\nexport const transport = <Body>(options: Options): Transport<Body, Prepared, string> => {\n  const http = HttpTransport.sseJson.with<Body>()\n  return {\n    id: http.id,\n    prepare: (input) =>\n      Effect.gen(function* () {\n        const parts = yield* HttpTransport.jsonRequestParts(input)\n        const headers = Headers.remove(options.headers?.(parts.headers) ?? parts.headers, \"content-length\")\n        const channel = input.webSocket\n          ? yield* Effect.gen(function* () {\n              const create = yield* message(parts.jsonBody)\n              const base = driver(options, create.message)\n              return {\n                url: yield* WebSocketTransport.toWebSocketUrl(parts.url),\n                headers,\n                rotateAfterMs: options.rotateAfterMs,\n                driver: options.driver?.({ request: create.request, message: create.message, base }) ?? base,\n              }\n            })\n          : undefined\n        return {\n          http: {\n            request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),\n            framing: Framing.sse,\n            middleware: input.middleware,\n          },\n          channel,\n        }\n      }),\n    execute: (prepared, request, runtime, executeOptions) => {\n      if (!executeOptions?.webSocket || !prepared.channel) return http.execute(prepared.http, request, runtime)\n      const exchange: WebSocketChannelExchange = {\n        id: request.id ?? \"request\",\n        connect: {\n          url: prepared.channel.url,\n          headers: prepared.channel.headers,\n          rotateAfterMs: prepared.channel.rotateAfterMs,\n        },\n        fallback: () =>\n          Stream.unwrap(\n            http.execute(prepared.http, request, runtime).pipe(Effect.map((execution) => execution.frames)),\n          ),\n        driver: prepared.channel.driver,\n      }\n      return executeOptions.webSocket.execute(exchange)\n    },\n  }\n}\n\nexport const OpenResponsesChannel = { transport } as const\n",
-    "import { AIError, TransportReason } from \"../schema/index.js\"\nimport type { ChannelCheckpoint, ChannelObservation, WebSocketChannelDriver } from \"../route/transport/index.js\"\nimport { Effect, Option, Schema } from \"effect\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst PROTOCOL = \"openai-responses.websocket.v1\"\nconst VERSION = 1\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\ninterface CheckpointValue {\n  readonly version: typeof VERSION\n  readonly responseID: string\n  readonly request: Readonly<Record<string, unknown>>\n  readonly output: ReadonlyArray<unknown>\n}\n\nexport interface DriverInput {\n  readonly id: string\n  readonly name: string\n  readonly request: Readonly<Record<string, unknown>>\n  readonly message: string\n  readonly base: WebSocketChannelDriver\n}\n\nconst checkpointValue = (checkpoint: ChannelCheckpoint | undefined): CheckpointValue | undefined => {\n  if (checkpoint?.protocol !== PROTOCOL || !ProviderShared.isRecord(checkpoint.value)) return undefined\n  if (checkpoint.value.version !== VERSION) return undefined\n  if (typeof checkpoint.value.responseID !== \"string\" || checkpoint.value.responseID.trim().length === 0)\n    return undefined\n  if (!ProviderShared.isRecord(checkpoint.value.request) || !Array.isArray(checkpoint.value.output)) return undefined\n  return {\n    version: VERSION,\n    responseID: checkpoint.value.responseID,\n    request: checkpoint.value.request,\n    output: checkpoint.value.output,\n  }\n}\n\nconst canonical = (value: unknown): string => {\n  if (value === undefined) return \"undefined\"\n  if (Array.isArray(value)) return `[${value.map(canonical).join(\",\")}]`\n  if (!ProviderShared.isRecord(value)) return ProviderShared.encodeJson(value)\n  return `{${Object.keys(value)\n    .sort()\n    .map((key) => `${ProviderShared.encodeJson(key)}:${canonical(value[key])}`)\n    .join(\",\")}}`\n}\n\nconst json = (value: unknown) => {\n  if (typeof value !== \"string\") return value\n  return Option.getOrElse(Schema.decodeUnknownOption(ProviderShared.Json)(value), () => value)\n}\n\nconst comparable = (value: unknown) => {\n  if (!ProviderShared.isRecord(value)) return value\n  if (value.type === \"message\" && value.role === \"assistant\")\n    return {\n      role: \"assistant\",\n      content: value.content,\n      ...(value.phase === undefined ? {} : { phase: value.phase }),\n    }\n  if (value.type === \"function_call\")\n    return {\n      type: value.type,\n      call_id: value.call_id,\n      name: value.name,\n      arguments: json(value.arguments),\n    }\n  if (value.type === \"reasoning\")\n    return {\n      type: value.type,\n      summary: value.summary,\n      encrypted_content: value.encrypted_content,\n    }\n  return value\n}\n\nconst invariant = (request: Readonly<Record<string, unknown>>) => {\n  const { type: _type, input: _input, previous_response_id: _previousResponseID, ...rest } = request\n  return rest\n}\n\nconst incremental = (\n  request: Readonly<Record<string, unknown>>,\n  checkpoint: CheckpointValue,\n): ReadonlyArray<unknown> | undefined => {\n  const input = request.input\n  const previousInput = checkpoint.request.input\n  if (!Array.isArray(input) || !Array.isArray(previousInput)) return undefined\n  if (canonical(invariant(request)) !== canonical(invariant(checkpoint.request))) return undefined\n  const baseline = [...previousInput, ...checkpoint.output]\n  if (input.length <= baseline.length) return undefined\n  if (!baseline.every((item, index) => canonical(comparable(item)) === canonical(comparable(input[index]))))\n    return undefined\n  return input.slice(baseline.length)\n}\n\nconst code = (event: OpenResponses.Event) => event.code || event.error?.code || event.response?.error?.code || undefined\n\nconst rejected = (\n  input: DriverInput,\n  observation: Extract<ChannelObservation, { readonly type: \"provider-failure\" }>,\n  recovery: \"retry-full\" | \"rotate-and-retry-full\",\n): ChannelObservation => ({\n  type: \"rejected\",\n  recovery,\n  error: new AIError({\n    module: input.id,\n    method: \"stream\",\n    reason: new TransportReason({\n      message: observation.error.message,\n      transport: \"websocket\",\n      operation: \"read\",\n      phase: \"receive\",\n      delivery: \"rejected\",\n      recovery,\n    }),\n  }),\n})\n\nexport const driver = (input: DriverInput): WebSocketChannelDriver => {\n  const { previous_response_id: _previousResponseID, ...request } = input.request\n  let output: unknown[] = []\n  return {\n    create: (checkpoint) =>\n      Effect.sync(() => {\n        output = []\n        const previous = checkpointValue(checkpoint)\n        const delta = previous ? incremental(request, previous) : undefined\n        if (!previous || !delta) return { message: ProviderShared.encodeJson(request), mode: \"full\" as const }\n        return {\n          message: ProviderShared.encodeJson({ ...request, input: delta, previous_response_id: previous.responseID }),\n          mode: \"incremental\" as const,\n        }\n      }),\n    observe: (create, frame) =>\n      Effect.gen(function* () {\n        const event = yield* decodeEvent(frame).pipe(\n          Effect.mapError(() => ProviderShared.eventError(input.id, `Invalid ${input.name} WebSocket event`, frame)),\n        )\n        const observation = yield* input.base.observe(create, frame)\n        if (event.type === \"response.output_item.done\" && event.item) output.push(event.item)\n        if (observation.type === \"provider-failure\") {\n          const rejection = code(event)\n          if (rejection === \"previous_response_not_found\") return rejected(input, observation, \"retry-full\")\n          if (rejection === \"websocket_connection_limit_reached\")\n            return rejected(input, observation, \"rotate-and-retry-full\")\n        }\n        if (observation.type !== \"completed\") return observation\n        const responseID = event.response?.id\n        if (!responseID || responseID.trim().length === 0) return observation\n        return {\n          ...observation,\n          checkpoint: {\n            protocol: PROTOCOL,\n            value: { version: VERSION, responseID, request, output: output.slice() } satisfies CheckpointValue,\n          },\n        }\n      }),\n  }\n}\n\nexport const OpenAIResponsesChannel = { driver } as const\n",
-    "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { LLMEvent, LLMRequest, type JsonSchema, type ToolDefinition } from \"../schema/index.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { optionalArray, ProviderShared } from \"./shared.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { OpenResponsesChannel } from \"./open-responses-channel.js\"\nimport { OpenAIResponsesChannel } from \"./openai-responses-channel.js\"\n\nconst ADAPTER = \"openai-responses\"\nconst NAME = \"OpenAI Responses\"\nconst WEBSOCKET_PROTOCOL_HEADER = \"responses_websockets=2026-02-06\"\nconst WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = OpenResponses.PATH\n\nconst OpenAIResponsesImageGenerationTool = Schema.Struct({\n  type: Schema.tag(\"image_generation\"),\n  action: Schema.optional(Schema.Literals([\"auto\", \"generate\", \"edit\"])),\n  background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n  input_fidelity: Schema.optional(Schema.Literals([\"low\", \"high\"])),\n  output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n  output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n  partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),\n  quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n  size: Schema.optional(OpenAIImage.Size),\n})\n\nconst OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool])\n\nconst OpenAIResponsesToolChoice = Schema.Union([\n  OpenResponses.ToolChoice,\n  Schema.Struct({ type: Schema.tag(\"image_generation\") }),\n])\n\nconst OpenAIResponsesInputItem = Schema.Union([\n  Schema.Struct({\n    type: Schema.tag(\"message\"),\n    id: Schema.optionalKey(Schema.String),\n    role: Schema.tag(\"assistant\"),\n    content: Schema.Array(Schema.Struct({ type: Schema.tag(\"output_text\"), text: Schema.String })),\n    phase: Schema.optionalKey(Schema.NullOr(OpenResponses.MessagePhase)),\n  }),\n  OpenResponses.InputItem,\n])\n\nconst OpenAIResponsesCoreFields = {\n  ...OpenResponses.coreFields,\n  input: Schema.Array(OpenAIResponsesInputItem),\n  tools: optionalArray(OpenAIResponsesTools),\n  tool_choice: Schema.optional(OpenAIResponsesToolChoice),\n}\n\nconst OpenAIResponsesBody = Schema.Struct({\n  ...OpenAIResponsesCoreFields,\n  stream: Schema.Literal(true),\n})\nexport type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>\n\nconst extension = {\n  id: ADAPTER,\n  name: NAME,\n  messagePhase: (value: unknown) => (value === null ? null : undefined),\n  lowerMedia: ({ part, media, request }) => {\n    if (request.model.provider !== \"xai\" || media.mime !== \"application/pdf\") return undefined\n    return {\n      type: \"input_file\",\n      filename: part.filename ?? \"document.pdf\",\n      file_data: media.base64,\n      mime_type: media.mime,\n    }\n  },\n} satisfies OpenResponses.Extension\n\nconst nativeImageToolInput = (tool: ToolDefinition) => {\n  const native = tool.native?.openai\n  return ProviderShared.isRecord(native) && native.type === \"image_generation\" ? native : undefined\n}\n\nconst nativeImageTool = (tool: ToolDefinition) => {\n  const native = nativeImageToolInput(tool)\n  return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined\n}\n\nconst lowerTool = Effect.fn(\"OpenAIResponses.lowerTool\")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {\n  const native = nativeImageToolInput(tool)\n  if (native !== undefined) {\n    if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native\n    return yield* ProviderShared.invalidRequest(\"OpenAI Responses image generation tool options are invalid\")\n  }\n  return yield* OpenResponses.lowerTool(NAME, tool, inputSchema)\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>, tools: ReadonlyArray<ToolDefinition>) =>\n  ProviderShared.matchToolChoice(NAME, toolChoice, {\n    auto: () => \"auto\" as const,\n    none: () => \"none\" as const,\n    required: () => \"required\" as const,\n    tool: (name) =>\n      tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)\n        ? ({ type: \"image_generation\" } as const)\n        : { type: \"function\" as const, name },\n  })\n\nconst fromRequest = Effect.fn(\"OpenAIResponses.fromRequest\")(function* (request: LLMRequest) {\n  const body = yield* OpenResponses.fromRequestWithExtension(\n    LLMRequest.update(request, { tools: [], toolChoice: undefined }),\n    extension,\n  )\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  return {\n    ...body,\n    tools:\n      request.tools.length === 0\n        ? undefined\n        : yield* Effect.forEach(request.tools, (tool) =>\n            lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n          ),\n    tool_choice:\n      body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined),\n  } satisfies OpenAIResponsesBody\n})\n\ntype HostedToolData = OpenResponses.StreamItem & {\n  readonly id: string\n  readonly status?: string\n  readonly action?: unknown\n  readonly queries?: unknown\n  readonly results?: unknown\n  readonly code?: string\n  readonly container_id?: string\n  readonly outputs?: unknown\n  readonly server_label?: string\n  readonly output?: unknown\n  readonly result?: string\n  readonly output_format?: \"png\" | \"jpeg\" | \"webp\"\n  readonly error?: unknown\n}\n\nconst HOSTED_TOOLS = {\n  web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n  web_search_preview_call: { name: \"web_search_preview\", input: (item) => item.action ?? {} },\n  file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n  code_interpreter_call: {\n    name: \"code_interpreter\",\n    input: (item) => ({ code: item.code, container_id: item.container_id }),\n  },\n  computer_use_call: { name: \"computer_use\", input: (item) => item.action ?? {} },\n  image_generation_call: { name: \"image_generation\", input: () => ({}) },\n  mcp_call: {\n    name: \"mcp\",\n    input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n  },\n  local_shell_call: { name: \"local_shell\", input: (item) => item.action ?? {} },\n} as const satisfies Record<string, { readonly name: string; readonly input: (item: HostedToolData) => unknown }>\n\ntype HostedToolType = keyof typeof HOSTED_TOOLS\ntype HostedToolItem = HostedToolData & { readonly type: HostedToolType }\n\nconst isHostedToolItem = (item: OpenResponses.StreamItem): item is HostedToolItem =>\n  item.type in HOSTED_TOOLS && typeof item.id === \"string\" && item.id.length > 0\n\nconst hostedToolResult = Effect.fn(\"OpenAIResponses.hostedToolResult\")(function* (item: HostedToolItem) {\n  const isError = item.error !== undefined && item.error !== null\n  if (item.type === \"image_generation_call\" && item.result) {\n    yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(\n      Effect.mapError(() => ProviderShared.eventError(ADAPTER, \"OpenAI Responses returned invalid image base64\")),\n    )\n    const format = item.output_format ?? \"png\"\n    return {\n      type: \"content\" as const,\n      value: [\n        {\n          type: \"file\" as const,\n          uri: `data:image/${format};base64,${item.result}`,\n          mime: `image/${format}`,\n        },\n      ],\n    }\n  }\n  return isError ? { type: \"error\" as const, value: item.error } : { type: \"json\" as const, value: item }\n})\n\nconst onHostedToolDone = Effect.fn(\"OpenAIResponses.onHostedToolDone\")(function* (\n  state: OpenResponses.ParserState,\n  item: HostedToolItem,\n) {\n  const tool = HOSTED_TOOLS[item.type]\n  const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })\n  const events: LLMEvent[] = []\n  const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n  events.push(\n    LLMEvent.toolCall({\n      id: item.id,\n      name: tool.name,\n      input: tool.input(item),\n      providerExecuted: true,\n      providerMetadata,\n    }),\n    LLMEvent.toolResult({\n      id: item.id,\n      name: tool.name,\n      result: yield* hostedToolResult(item),\n      providerExecuted: true,\n      providerMetadata,\n    }),\n  )\n  return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult\n})\n\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n  if (event.type === \"response.reasoning_text.delta\" || event.type === \"response.reasoning_summary.delta\")\n    return event.item_id\n      ? Effect.succeed(OpenResponses.onReasoningDelta(state, event, event.item_id))\n      : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n  if (event.type === \"response.reasoning_text.done\" || event.type === \"response.reasoning_summary.done\")\n    return event.item_id\n      ? Effect.succeed(OpenResponses.onReasoningDone(state, event))\n      : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n  if (event.type === \"response.output_item.done\" && event.item && isHostedToolItem(event.item))\n    return onHostedToolDone(state, event.item)\n  return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: OpenAIResponsesBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: OpenResponses.protocol.stream.event,\n    initial: (request) => OpenResponses.initial(request, extension),\n    step,\n    terminal: OpenResponses.terminal,\n  },\n})\n\nconst endpoint = Endpoint.path<OpenAIResponsesBody>(PATH, { baseURL: DEFAULT_BASE_URL })\nconst auth = Auth.none\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIResponsesBody>()\nexport const transport = OpenResponsesChannel.transport<OpenAIResponsesBody>({\n  id: ADAPTER,\n  name: NAME,\n  rotateAfterMs: WEBSOCKET_ROTATE_AFTER_MS,\n  headers: (headers) => Headers.set(headers, \"openai-beta\", headers[\"openai-beta\"] ?? WEBSOCKET_PROTOCOL_HEADER),\n  driver: (input) => OpenAIResponsesChannel.driver({ id: ADAPTER, name: NAME, ...input }),\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"openai\",\n  providerMetadataKey: \"openai\",\n  protocol,\n  endpoint,\n  auth,\n  transport,\n  defaults: { providerOptions: { store: false } },\n})\n\nexport * as OpenAIResponses from \"./openai-responses.js\"\n"
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-  "debugId": "4408C1D54943919F64756E2164756E21",
-  "names": []
-}

bin/chunk-ytx8mqr4.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  ${info.password}`,\n        \"\",\n        \"  Scan to pair\",\n        \"\",\n        renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n          .split(EOL)\n          .map((line) => \"  \" + line)\n          .join(EOL),\n        \"\",\n      ].join(EOL) + EOL,\n    )\n\n    const hostname = new URL(endpoint.url).hostname\n    if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n    process.stderr.write(`  Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`)\n  }),\n)\n"
-  ],
-  "mappings": ";u9BAAA,cAAS,WAST,IAAe,IAAQ,QACrB,EAAS,SAAS,KAClB,EAAO,GAAG,UAAU,EAAE,SAAU,EAAG,CACjC,IAAM,EAAW,MAAO,EAAQ,OAAO,MAAO,EAAc,QAAQ,CAAC,EAC/D,EAAW,MAAO,EAAc,SAAS,EAIzC,EAAO,CAAE,MAHA,MAAO,EAAO,WAAW,IACtC,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAAE,OAAO,IAAI,CAC1F,GAC4B,KAAM,SAAU,WAAY,UAAS,EACjE,QAAQ,OAAO,MACb,CACE,GACA,eAAe,EAAK,KAAK,IAAM,WAC/B,GAAG,EAAK,KAAK,MAAM,CAAC,EAAE,IAAI,CAAC,IAAQ,eAAe,GAAK,EACvD,eAAe,EAAK,WACpB,eAAe,EAAK,WACpB,GACA,iBACA,GACA,EAAqB,KAAK,UAAU,CAAI,EAAG,CAAE,OAAQ,CAAE,CAAC,EACrD,MAAM,CAAG,EACT,IAAI,CAAC,IAAS,KAAO,CAAI,EACzB,KAAK,CAAG,EACX,EACF,EAAE,KAAK,CAAG,EAAI,CAChB,EAEA,IAAM,EAAW,IAAI,IAAI,EAAS,GAAG,EAAE,SACvC,GAAI,CAAC,CAAC,YAAa,YAAa,OAAO,EAAE,SAAS,CAAQ,EAAG,OAC7D,QAAQ,OAAO,MAAM,kFAAkF,IAAM,GAAK,EACnH,CACH",
-  "debugId": "EAA7E8C328B41F3064756E2164756E21",
-  "names": []
-}

bin/chunk-zdypdm1f.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": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,OACnC,EAAO,GAAG,oBAAoB,EAAE,SAAU,EAAG,CAC3C,IAAM,EAAU,MAAO,EAAc,QAAQ,EACvC,EAAQ,MAAO,EAAQ,SAAS,IAAK,EAAS,QAAS,MAAU,CAAC,EACxE,QAAQ,OAAO,OAAO,GAAO,KAAO,WAAa,CAAG,EACrD,CACH",
-  "debugId": "CDAFBE7661FCD75864756E2164756E21",
-  "names": []
-}

No alert changes

Improved metrics

Total package byte prevSize

247209585

0

No dependency changes