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

Comparing version 0.0.0-next-15840 to 0.0.0-next-15848

bin/chunk-08excd9w.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/image/photon-wasm.bun.ts", "../core/src/image/photon.ts"],
+  "sourcesContent": [
+    "// @ts-ignore Bun embeds static file imports when compiling the CLI.\nimport photonWasm from \"@silvia-odwyer/photon-node/photon_rs_bg.wasm\" with { type: \"file\" }\n\nexport default photonWasm\n",
+    "import photonWasm from \"#photon-wasm\"\nimport { Effect } from \"effect\"\nimport path from \"node:path\"\nimport { fileURLToPath } from \"node:url\"\nimport { FileSystem } from \"../filesystem\"\nimport { DecodeError, ResizerUnavailableError, SizeError } from \"../image\"\n\nconst JPEG_QUALITIES = [80, 85, 70, 55, 40]\n\nexport const make = Effect.gen(function* () {\n  ;(globalThis as typeof globalThis & { __OPENCODE_PHOTON_WASM_PATH?: string }).__OPENCODE_PHOTON_WASM_PATH =\n    path.isAbsolute(photonWasm) ? photonWasm : fileURLToPath(new URL(photonWasm, import.meta.url))\n  const loadPhoton = yield* Effect.cached(\n    Effect.tryPromise({\n      try: () => import(\"@silvia-odwyer/photon-node\"),\n      catch: () => new ResizerUnavailableError(),\n    }),\n  )\n  return Effect.fn(\"Image.Photon.normalize\")(function* (\n    resource: string,\n    content: FileSystem.Content & { readonly encoding: \"base64\" },\n    limits: {\n      readonly autoResize: boolean\n      readonly maxWidth: number\n      readonly maxHeight: number\n      readonly maxBase64Bytes: number\n    },\n  ) {\n    const photon = yield* loadPhoton\n    const decoded = yield* Effect.try({\n      try: () => photon.PhotonImage.new_from_byteslice(Buffer.from(content.content, \"base64\")),\n      catch: () => new DecodeError({ resource }),\n    })\n    try {\n      const width = decoded.get_width()\n      const height = decoded.get_height()\n      const bytes = Buffer.byteLength(content.content, \"utf-8\")\n      if (width <= limits.maxWidth && height <= limits.maxHeight && bytes <= limits.maxBase64Bytes) return content\n      if (!limits.autoResize)\n        return yield* new SizeError({\n          resource,\n          width,\n          height,\n          bytes,\n          maxWidth: limits.maxWidth,\n          maxHeight: limits.maxHeight,\n          maxBytes: limits.maxBase64Bytes,\n        })\n      const scale = Math.min(1, limits.maxWidth / width, limits.maxHeight / height)\n      const sizes = Array.from({ length: 32 }).reduce<Array<{ width: number; height: number }>>((acc) => {\n        const previous = acc.at(-1) ?? {\n          width: Math.max(1, Math.round(width * scale)),\n          height: Math.max(1, Math.round(height * scale)),\n        }\n        const next =\n          acc.length === 0\n            ? previous\n            : {\n                width: previous.width === 1 ? 1 : Math.max(1, Math.floor(previous.width * 0.75)),\n                height: previous.height === 1 ? 1 : Math.max(1, Math.floor(previous.height * 0.75)),\n              }\n        return acc.some((item) => item.width === next.width && item.height === next.height) ? acc : [...acc, next]\n      }, [])\n      for (const size of sizes) {\n        const resized = photon.resize(decoded, size.width, size.height, photon.SamplingFilter.Lanczos3)\n        try {\n          const encoders: Array<readonly [mime: string, encode: () => Uint8Array]> = [\n            [\"image/png\", () => resized.get_bytes()],\n            ...JPEG_QUALITIES.map((quality) => [\"image/jpeg\", () => resized.get_bytes_jpeg(quality)] as const),\n          ]\n          for (const [mime, encode] of encoders) {\n            const candidate = Buffer.from(encode()).toString(\"base64\")\n            if (Buffer.byteLength(candidate, \"utf-8\") <= limits.maxBase64Bytes)\n              return { ...content, content: candidate, encoding: \"base64\" as const, mime }\n          }\n        } finally {\n          resized.free()\n        }\n      }\n      return yield* new SizeError({\n        resource,\n        width,\n        height,\n        bytes,\n        maxWidth: limits.maxWidth,\n        maxHeight: limits.maxHeight,\n        maxBytes: limits.maxBase64Bytes,\n      })\n    } finally {\n      decoded.free()\n    }\n  })\n})\n"
+  ],
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+  "debugId": "9607226C45F6BC8764756E2164756E21",
+  "names": []
+}

bin/chunk-1qm0qppr.js.map

+{
+  "version": 3,
+  "sources": ["src/server-process.ts", "src/commands/handlers/serve.ts"],
+  "sourcesContent": [
+    "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions, type Info } from \"@opencode-ai/client/effect/service\"\nimport { LayerNode } from \"@opencode-ai/core/effect/layer-node\"\nimport { Global } from \"@opencode-ai/core/global\"\nimport { InstallationVersion } from \"@opencode-ai/core/installation/version\"\nimport { AppProcess } from \"@opencode-ai/core/process\"\nimport { randomBytes, randomUUID } from \"node:crypto\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Logger, Option, Redacted, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { Updater } from \"./services/updater\"\n\nexport type Mode = \"default\" | \"service\" | \"stdio\"\n\nexport type Options = {\n  readonly mode: Mode\n  readonly hostname?: string\n  readonly port?: number\n}\n\n// The process effect lives until server shutdown; tracing it would parent every request to one process-lifetime trace.\nexport const run = Effect.fnUntraced(function* (options: Options) {\n  return yield* processEffect(options).pipe(\n    Effect.provide(Updater.layer),\n    Effect.provide(LayerNode.compile(LayerNode.group([Global.node, AppProcess.node]))),\n    Effect.provide(NodeServices.layer),\n  )\n})\n\nconst processEffect = Effect.fnUntraced(function* (options: Options) {\n  if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(Global.Path.home))\n  return yield* Effect.scoped(\n    Effect.gen(function* () {\n      const serviceOptions = options.mode === \"service\" ? yield* ServiceConfig.options() : undefined\n      const config = options.mode === \"service\" ? yield* ServiceConfig.read() : {}\n      const hostname = options.hostname ?? config.hostname ?? \"127.0.0.1\"\n      const port = options.port ?? config.port ?? (options.mode === \"service\" ? ServiceConfig.defaultPort() : undefined)\n      if (\n        serviceOptions !== undefined &&\n        port !== undefined &&\n        (yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })) !== undefined\n      )\n        return\n      const { start } = yield* Effect.promise(() => import(\"@opencode-ai/server/process\"))\n      const environmentPassword = yield* Env.password\n      // Keep the lease credential out of the environment inherited by tools.\n      if (options.mode === \"stdio\") {\n        delete process.env.OPENCODE_PASSWORD\n        delete process.env.OPENCODE_SERVER_PASSWORD\n      }\n      const password =\n        options.mode === \"service\"\n          ? config.password || randomBytes(32).toString(\"base64url\")\n          : environmentPassword\n            ? Redacted.value(environmentPassword)\n            : randomBytes(32).toString(\"base64url\")\n      if (!password) return yield* Effect.fail(new Error(\"Missing server password\"))\n      const instanceID = randomUUID()\n      const server = yield* start({\n        hostname,\n        port: Option.fromNullishOr(port),\n        password,\n        instanceID,\n        service:\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* register(address, password, instanceID, serviceOptions.file, shutdown)\n                  }),\n              },\n      }).pipe(\n        Effect.provide(Logger.layer([], { mergeWithExisting: false })),\n        Effect.catch((error) => {\n          if (serviceOptions === undefined || port === undefined || !addressInUse(error)) return Effect.fail(error)\n          return recognizeIncumbent(serviceOptions, hostname, port).pipe(\n            Effect.flatMap((found) =>\n              found\n                ? Effect.void\n                : Effect.fail(\n                    new Error(\n                      `Managed service port ${port} on ${hostname} is already in use by another process. ` +\n                        \"Configure another port with `opencode service set port <port>` and start the service again.\",\n                      { cause: error },\n                    ),\n                  ),\n            ),\n          )\n        }),\n      )\n      if (server === undefined) return\n      const url = HttpServer.formatAddress(server.address)\n      console.log(options.mode === \"stdio\" ? JSON.stringify({ url }) : `server listening on ${url}`)\n      if (options.mode === \"default\" && !environmentPassword) console.log(`server password ${password}`)\n      const updater = yield* Updater.Service\n      yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n      return yield* options.mode === \"service\"\n        ? server.shutdown\n        : options.mode === \"stdio\"\n          ? waitForStdinClose()\n          : Effect.never\n    }).pipe(Effect.annotateLogs({ role: \"server\" })),\n  )\n})\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nconst register = Effect.fnUntraced(function* (\n  address: HttpServer.Address,\n  password: string,\n  id: string,\n  file: string,\n  shutdown: Effect.Effect<void>,\n) {\n  const fs = yield* FileSystem.FileSystem\n  const temp = file + \".\" + id + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(file), { recursive: true })\n  const info = {\n    id,\n    version: InstallationVersion,\n    url: HttpServer.formatAddress(address),\n    pid: process.pid,\n    password,\n  }\n  const encoded = yield* encodeInfo(info)\n  const current = fs.readFileString(file).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.orElseSucceed(() => undefined),\n  )\n  const owns = (found: Info | undefined) =>\n    found?.id === info.id &&\n    found.version === info.version &&\n    found.url === info.url &&\n    found.pid === info.pid &&\n    found.password === info.password\n  yield* fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, file)))\n  yield* current.pipe(\n    Effect.filterOrFail(owns),\n    Effect.repeat(Schedule.spaced(\"5 seconds\")),\n    Effect.ignore,\n    Effect.andThen(shutdown),\n    Effect.forkScoped,\n  )\n  return current.pipe(\n    Effect.flatMap((found) => (owns(found) ? fs.remove(file) : Effect.void)),\n    Effect.ignore,\n  )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n  const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n    Effect.filterOrFail((value) => value !== undefined),\n    Effect.retry(Schedule.spaced(\"100 millis\")),\n    Effect.timeoutOption(\"15 seconds\"),\n  )\n  return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n  return `http://${hostname.includes(\":\") ? `[${hostname}]` : hostname}:${port}`\n}\n\nfunction addressInUse(error: unknown): boolean {\n  if (typeof error !== \"object\" || error === null) return false\n  if (\"code\" in error && error.code === \"EADDRINUSE\") return true\n  return \"cause\" in error && addressInUse(error.cause)\n}\n\nfunction waitForStdinClose() {\n  return Effect.callback<void>((resume) => {\n    const close = () => resume(Effect.void)\n    process.stdin.once(\"end\", close)\n    process.stdin.once(\"close\", close)\n    process.stdin.resume()\n    if (process.stdin.readableEnded || process.stdin.destroyed) close()\n    return Effect.sync(() => {\n      process.stdin.off(\"end\", close)\n      process.stdin.off(\"close\", close)\n      process.stdin.pause()\n    })\n  })\n}\n",
+    "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n  Commands.commands.serve,\n  Effect.fnUntraced(function* (input) {\n    if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n    return yield* ServerProcess.run({\n      mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n      hostname: Option.getOrUndefined(input.hostname),\n      port: Option.getOrUndefined(input.port),\n    })\n  }),\n)\n"
+  ],
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+  "debugId": "95D50206F0344A0F64756E2164756E21",
+  "names": []
+}

bin/chunk-2ez7mkpf.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/pair.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode } from \"@opencode-ai/client/promise\"\nimport { renderUnicodeCompact } from \"uqr\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServiceConfig } from \"../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.pair,\n  Effect.fn(\"cli.pair\")(function* () {\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const password = yield* ServiceConfig.password()\n    const server = yield* Effect.tryPromise(() =>\n      OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) }).server.get(),\n    )\n    const info = { urls: server.urls, username: \"opencode\", password }\n    process.stdout.write(\n      [\n        \"\",\n        `  URLs      ${info.urls[0] ?? \"(none)\"}`,\n        ...info.urls.slice(1).map((url) => `            ${url}`),\n        `  Username  ${info.username}`,\n        `  Password  ${info.password}`,\n        \"\",\n        \"  Scan to pair\",\n        \"\",\n        renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n          .split(EOL)\n          .map((line) => \"  \" + line)\n          .join(EOL),\n        \"\",\n      ].join(EOL) + EOL,\n    )\n\n    const hostname = new URL(endpoint.url).hostname\n    if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n    process.stderr.write(\n      `  Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`,\n    )\n  }),\n)\n"
+  ],
+  "mappings": ";+8BAAA,mBAAS,gBAST,SAAe,SAAQ,aACrB,OAAS,cAAS,UAClB,OAAO,QAAG,eAAU,OAAE,cAAU,OAAG,MACjC,SAAM,OAAW,WAAO,OAAQ,YAAO,WAAO,OAAc,aAAQ,MAAC,OAC/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,MACb,kFAAkF,IAAM,GAC1F,EACD,CACH",
+  "debugId": "9E52F022374A144164756E2164756E21",
+  "names": []
+}

bin/chunk-2pav5aw2.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/installation/version.ts"],
+  "sourcesContent": [
+    "declare global {\n  const OPENCODE_VERSION: string\n  const OPENCODE_CHANNEL: string\n}\n\nexport const InstallationVersion = typeof OPENCODE_VERSION === \"string\" ? OPENCODE_VERSION : \"local\"\nexport const InstallationChannel = typeof OPENCODE_CHANNEL === \"string\" ? OPENCODE_CHANNEL : \"local\"\nexport const InstallationLocal = InstallationChannel === \"local\"\n"
+  ],
+  "mappings": ";AAKO,IAAM,EAA6D,mBAC7D,EAA6D,OAC7D,EAAoB",
+  "debugId": "75B1C823BB3449B664756E2164756E21",
+  "names": []
+}

bin/chunk-3v3vmd7a.js.map

+{
+  "version": 3,
+  "sources": ["../simulation/src/frontend/actions.ts", "../simulation/src/recording.ts", "../simulation/src/frontend/renderer.ts", "../simulation/src/frontend/semantics.ts", "../simulation/src/frontend/server.ts", "../simulation/src/frontend/simulation.ts"],
+  "sourcesContent": [
+    "import { tmpdir } from \"node:os\"\nimport { extname, join, resolve } from \"node:path\"\nimport type { CliRenderer, Renderable } from \"@opentui/core\"\nimport {\n  createMockKeys,\n  createMockMouse,\n  KeyCodes,\n  type KeyInput,\n  type MockInput,\n  type MockMouse,\n} from \"@opentui/core/testing\"\nimport { Config, Effect, FileSystem, Schema } from \"effect\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationSemantics } from \"./semantics\"\n\nexport type Action = SimulationProtocol.Frontend.Action\nexport type Element = SimulationProtocol.Frontend.Element\n\nexport interface Harness {\n  readonly renderer: CliRenderer\n  readonly mockInput: MockInput\n  readonly mockMouse: MockMouse\n  readonly resize: (cols: number, rows: number) => void\n  readonly renderOnce: () => Promise<void>\n  readonly screen: () => string\n}\n\ntype RenderBuffer = {\n  readonly width: number\n  readonly height: number\n  getRealCharBytes(includeAnsi?: boolean): Uint8Array\n}\n\nconst decoder = new TextDecoder()\n\nfunction isKeyCode(key: string): key is keyof typeof KeyCodes {\n  return Object.hasOwn(KeyCodes, key)\n}\n\nfunction keyInput(key: string): KeyInput {\n  const named = key.toUpperCase()\n  return isKeyCode(named) ? named : key\n}\n\nfunction children(renderable: Renderable) {\n  return renderable.getChildren().filter((child): child is Renderable => \"num\" in child)\n}\n\nfunction all(renderable: Renderable): Renderable[] {\n  return [renderable, ...children(renderable).flatMap(all)]\n}\n\nfunction mouseListeners(renderable: Renderable) {\n  const general = Reflect.get(renderable, \"_mouseListener\")\n  const specific = Reflect.get(renderable, \"_mouseListeners\")\n  return Boolean(general) || (specific && typeof specific === \"object\" && Object.keys(specific).length > 0)\n}\n\nfunction hit(renderer: CliRenderer, renderable: Renderable) {\n  if (renderable.width <= 0 || renderable.height <= 0) return false\n  const x = Math.floor(renderable.screenX + renderable.width / 2)\n  const y = Math.floor(renderable.screenY + renderable.height / 2)\n  const target = renderer.hitTest(x, y)\n  return all(renderable).some((item) => item.num === target)\n}\n\n/**\n * Builds the harness the simulation server drives.\n *\n * When the renderer is the headless simulation renderer, its TestRendererSetup\n * provides the supported testing APIs. For the visible terminal renderer the\n * harness falls back to `requestRender` + `idle` and reading the private\n * `currentRenderBuffer`.\n */\nexport function createHarness(renderer: CliRenderer): Harness {\n  const setup = SimulationRenderer.setupFor(renderer)\n  return {\n    renderer,\n    mockInput: setup?.mockInput ?? createMockKeys(renderer),\n    mockMouse: setup?.mockMouse ?? createMockMouse(renderer),\n    resize: setup?.resize ?? ((cols, rows) => renderer.resize(cols, rows)),\n    renderOnce:\n      setup?.renderOnce ??\n      (async () => {\n        renderer.requestRender()\n        await renderer.idle()\n      }),\n    // captureCharFrame follows the test renderer's output sink. Recording\n    // redirects that sink to the timeline, so read the live render buffer\n    // instead; it is also the source used by screenshots.\n    screen: () => decoder.decode((Reflect.get(renderer, \"currentRenderBuffer\") as RenderBuffer).getRealCharBytes()),\n  }\n}\n\nexport function elements(renderer: CliRenderer): Element[] {\n  return all(renderer.root)\n    .filter((renderable) => renderable.visible && !renderable.isDestroyed)\n    .map((renderable) => {\n      const clickable = mouseListeners(renderable) && hit(renderer, renderable)\n      return {\n        id: renderable.id,\n        num: renderable.num,\n        x: renderable.screenX,\n        y: renderable.screenY,\n        width: renderable.width,\n        height: renderable.height,\n        focusable: renderable.focusable,\n        focused: renderable.focused,\n        clickable,\n        editor: renderer.currentFocusedEditor === renderable,\n      } satisfies Element\n    })\n    .filter((element) => element.focusable || element.clickable || element.editor)\n}\n\nexport function state(harness: Harness) {\n  return {\n    focused: {\n      renderable: harness.renderer.currentFocusedRenderable?.num,\n      editor: Boolean(harness.renderer.currentFocusedEditor),\n    },\n    elements: elements(harness.renderer),\n  }\n}\n\nexport function snapshot(harness: Harness): SimulationProtocol.Frontend.SemanticSnapshot {\n  const ids = new Set<string>()\n  const visit = (renderable: Renderable, parent?: string): SimulationProtocol.Frontend.SemanticNode[] => {\n    if (!renderable.visible || renderable.isDestroyed) return []\n    const definition = SimulationSemantics.read(renderable)?.()\n    if (definition && ids.has(renderable.id)) throw new Error(`duplicate semantic UI id: ${renderable.id}`)\n    if (definition) ids.add(renderable.id)\n    const node = definition\n      ? [{ id: renderable.id, ...definition, ...(parent === undefined ? {} : { parent }), element: renderable.num }]\n      : []\n    const ancestor = definition ? renderable.id : parent\n    return [...node, ...children(renderable).flatMap((child) => visit(child, ancestor))]\n  }\n  return Schema.decodeUnknownSync(SimulationProtocol.Frontend.SemanticSnapshot)({\n    format: \"opencode-ui-snapshot-v1\",\n    nodes: visit(harness.renderer.root),\n  })\n}\n\nexport function matches(harness: Pick<Harness, \"screen\">, text: string) {\n  return harness.screen().includes(text)\n}\n\nexport const capture = Effect.fn(\"SimulationActions.capture\")(function* (harness: Harness) {\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const buffer = harness.renderer.currentRenderBuffer\n  return {\n    cols: buffer.width,\n    rows: buffer.height,\n    cursor: [0, 0] as const,\n    lines: buffer.getSpanLines().map((line) => ({\n      spans: line.spans.map((span) => ({\n        text: span.text,\n        fg: span.fg.toInts(),\n        bg: span.bg.toInts(),\n        attributes: span.attributes,\n        width: span.width,\n      })),\n    })),\n  } satisfies SimulationProtocol.Frontend.CapturedFrame\n})\n\nexport const screenshot = Effect.fn(\"SimulationActions.screenshot\")(function* (harness: Harness, name?: string) {\n  const filename = name ?? `screenshot-${crypto.randomUUID()}`\n  if (!filename || filename.includes(\"/\") || filename.includes(\"\\\\\") || extname(filename))\n    return yield* Effect.fail(new Error(\"screenshot name must not contain a path or extension\"))\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const { SimulationPng } = yield* Effect.promise(() => import(\"./png\"))\n  const image = SimulationPng.screenshot(harness.renderer)\n  const directory = resolve(\n    yield* Config.string(\"OPENCODE_DRIVE_MEDIA_DIR\").pipe(\n      Config.withDefault(join(tmpdir(), \"opencode-drive\", \"output\")),\n    ),\n  )\n  const fs = yield* FileSystem.FileSystem\n  yield* fs.makeDirectory(directory, { recursive: true })\n  const path = join(directory, `${filename}.png`)\n  yield* fs.writeFile(path, image.data)\n  return path\n})\n\nexport const execute = Effect.fn(\"SimulationActions.execute\")(function* (harness: Harness, action: Action) {\n  switch (action.type) {\n    case \"ui.type\":\n      yield* Effect.tryPromise(() => harness.mockInput.typeText(action.text))\n      break\n    case \"ui.press\":\n      harness.mockInput.pressKey(keyInput(action.key), action.modifiers)\n      break\n    case \"ui.enter\":\n      harness.mockInput.pressEnter()\n      break\n    case \"ui.arrow\":\n      harness.mockInput.pressArrow(action.direction)\n      break\n    case \"ui.focus\":\n      all(harness.renderer.root)\n        .find((item) => item.num === action.target)\n        ?.focus()\n      break\n    case \"ui.click\": {\n      const target = all(harness.renderer.root).find((item) => item.num === action.target)\n      if (!target || !target.visible || target.isDestroyed)\n        return yield* Effect.fail(new Error(`click target is stale or unavailable: ${action.target}`))\n      if (action.semantic) {\n        const current = snapshot(harness).nodes.find((node) => node.element === action.target)\n        if (\n          current?.id !== action.semantic.id ||\n          current.instance !== action.semantic.instance ||\n          current.element !== action.semantic.element\n        )\n          return yield* Effect.fail(new Error(`semantic click target is stale or unavailable: ${action.semantic.id}`))\n      }\n      if (\n        !Number.isFinite(action.x) ||\n        action.x < 0 ||\n        action.x >= target.width ||\n        !Number.isFinite(action.y) ||\n        action.y < 0 ||\n        action.y >= target.height\n      )\n        return yield* Effect.fail(new Error(\"click position must be within the target element\"))\n      yield* Effect.tryPromise(() => harness.mockMouse.click(target.screenX + action.x, target.screenY + action.y))\n      break\n    }\n    case \"ui.resize\":\n      if (\n        !Number.isSafeInteger(action.cols) ||\n        action.cols <= 0 ||\n        !Number.isSafeInteger(action.rows) ||\n        action.rows <= 0\n      ) {\n        return yield* Effect.fail(new Error(\"resize cols and rows must be positive integers\"))\n      }\n      harness.resize(action.cols, action.rows)\n      SimulationRenderer.recordResize(harness.renderer, action.cols, action.rows)\n      break\n  }\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  return state(harness)\n})\n\nexport * as SimulationActions from \"./actions\"\n",
+    "import { createWriteStream, type WriteStream } from \"node:fs\"\nimport { mkdir } from \"node:fs/promises\"\nimport { dirname } from \"node:path\"\nimport { Writable } from \"node:stream\"\nimport { finished } from \"node:stream/promises\"\nimport { Schema } from \"effect\"\n\nexport const Header = Schema.Struct({\n  type: Schema.Literal(\"header\"),\n  version: Schema.Literal(1),\n  cols: Schema.Number,\n  rows: Schema.Number,\n  encoding: Schema.Literal(\"base64\"),\n})\nexport interface Header extends Schema.Schema.Type<typeof Header> {}\n\nexport const Output = Schema.Struct({\n  type: Schema.Literal(\"output\"),\n  at_ms: Schema.Number,\n  data: Schema.String,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n\nexport const Resize = Schema.Struct({\n  type: Schema.Literal(\"resize\"),\n  at_ms: Schema.Number,\n  cols: Schema.Number,\n  rows: Schema.Number,\n})\nexport interface Resize extends Schema.Schema.Type<typeof Resize> {}\n\nexport const Event = Schema.Union([Header, Output, Resize])\nexport type Event = Schema.Schema.Type<typeof Event>\n\nexport class Timeline extends Writable {\n  readonly isTTY = true\n  readonly path: string\n  readonly columns: number\n  readonly rows: number\n  private readonly output: WriteStream\n  private readonly started = performance.now()\n  private readonly timestamps: number[] = []\n  private done?: Promise<string>\n\n  private constructor(path: string, cols: number, rows: number, output: WriteStream) {\n    super()\n    this.path = path\n    this.columns = cols\n    this.rows = rows\n    this.output = output\n    // finish() reports stream failures; keep Writable from also throwing them process-wide.\n    this.on(\"error\", () => {})\n    output.on(\"error\", (error) => this.destroy(error))\n  }\n\n  static async create(path: string, cols: number, rows: number) {\n    await mkdir(dirname(path), { recursive: true })\n    const output = createWriteStream(path)\n    const timeline = new Timeline(path, cols, rows, output)\n    await new Promise<void>((resolve, reject) => {\n      output.write(\n        `${JSON.stringify({ type: \"header\", version: 1, cols, rows, encoding: \"base64\" } satisfies Header)}\\n`,\n        (error) => (error ? reject(error) : resolve()),\n      )\n    })\n    return timeline\n  }\n\n  getColorDepth() {\n    return 24\n  }\n\n  override write(chunk: unknown, callback?: (error?: Error | null) => void): boolean\n  override write(chunk: unknown, encoding: BufferEncoding, callback?: (error?: Error | null) => void): boolean\n  override write(\n    chunk: unknown,\n    encoding?: BufferEncoding | ((error?: Error | null) => void),\n    callback?: (error?: Error | null) => void,\n  ) {\n    if (!this.writableEnded) {\n      this.timestamps.push(this.elapsed())\n      if (typeof encoding === \"function\") return super.write(chunk, encoding)\n      if (encoding === undefined) return super.write(chunk, callback)\n      return super.write(chunk, encoding, callback)\n    }\n    const done = typeof encoding === \"function\" ? encoding : callback\n    queueMicrotask(() => done?.(null))\n    return true\n  }\n\n  override _write(chunk: Buffer, _encoding: BufferEncoding, callback: (error?: Error | null) => void) {\n    this.writeOutput(chunk, this.timestamps.shift() ?? this.elapsed(), callback)\n  }\n\n  override _final(callback: (error?: Error | null) => void) {\n    this.writeOutput(Buffer.alloc(0), this.elapsed(), (error) => {\n      if (error) return callback(error)\n      this.output.end(callback)\n    })\n  }\n\n  finish() {\n    if (this.done) return this.done\n    this.end()\n    this.done = finished(this).then(() => this.path)\n    return this.done\n  }\n\n  resize(cols: number, rows: number) {\n    if (this.writableEnded) return\n    const event = { type: \"resize\", at_ms: this.elapsed(), cols, rows } satisfies Resize\n    this.output.write(`${JSON.stringify(event)}\\n`)\n  }\n\n  private elapsed() {\n    return Math.max(0, Math.round(performance.now() - this.started))\n  }\n\n  private writeOutput(data: Buffer, at_ms: number, callback: (error?: Error | null) => void) {\n    const event = {\n      type: \"output\",\n      at_ms,\n      data: data.toString(\"base64\"),\n    } satisfies Output\n    this.output.write(`${JSON.stringify(event)}\\n`, callback)\n  }\n}\n\nexport * as SimulationRecording from \"./recording\"\n",
+    "import type { CliRenderer, CliRendererConfig } from \"@opentui/core\"\nimport { createTestRenderer, type TestRendererSetup } from \"@opentui/core/testing\"\nimport { Effect } from \"effect\"\nimport { Timeline } from \"../recording\"\n\nconst setups = new WeakMap<CliRenderer, TestRendererSetup>()\nconst recordings = new WeakMap<CliRenderer, Timeline>()\n\n/**\n * Creates a headless renderer with optional recording: a real CliRenderer\n * backed by an in-memory screen buffer. The TestRendererSetup is kept\n * module-side so the harness can use supported testing APIs without app\n * code carrying it around.\n */\nexport interface Viewport {\n  readonly cols: number\n  readonly rows: number\n}\n\nexport const create = Effect.fn(\"SimulationRenderer.create\")(function* (\n  options: CliRendererConfig,\n  path?: string,\n  viewport?: Viewport,\n) {\n  const cols = viewport?.cols ?? 100\n  const rows = viewport?.rows ?? 40\n  const recording = path\n    ? yield* Effect.acquireRelease(\n        Effect.tryPromise(() => Timeline.create(path, cols, rows)),\n        (recording) =>\n          Effect.tryPromise(() => recording.finish()).pipe(\n            Effect.catch((error) =>\n              Effect.sync(() => process.stderr.write(`Failed to finish UI recording: ${error}\\n`)),\n            ),\n          ),\n      )\n    : undefined\n  const setup = yield* Effect.acquireRelease(\n    Effect.tryPromise(() =>\n      createTestRenderer({\n        ...options,\n        width: cols,\n        height: rows,\n        ...(recording\n          ? {\n              stdout: recording as unknown as NodeJS.WriteStream,\n              bufferedOutput: \"stdout\" as const,\n            }\n          : {}),\n      }),\n    ),\n    (setup) =>\n      Effect.sync(() => {\n        if (!setup.renderer.isDestroyed) setup.renderer.destroy()\n      }),\n  )\n  setups.set(setup.renderer, setup)\n  if (recording) recordings.set(setup.renderer, recording)\n  return setup.renderer\n})\n\nexport function recordResize(renderer: CliRenderer, cols: number, rows: number) {\n  recordings.get(renderer)?.resize(cols, rows)\n}\n\nexport function setupFor(renderer: CliRenderer): TestRendererSetup | undefined {\n  return setups.get(renderer)\n}\n\nexport function finish(renderer: CliRenderer) {\n  const recording = recordings.get(renderer)\n  if (!recording) return Effect.fail(new Error(\"UI recording is not available\"))\n  return Effect.tryPromise(() => recording.finish())\n}\n\nexport * as SimulationRenderer from \"./renderer\"\n",
+    "import type { Renderable } from \"@opentui/core\"\nimport type { SimulationProtocol } from \"../protocol\"\n\n// Semantic renderables set an explicit stable OpenTUI id so ui.state and\n// ui.snapshot expose the same identity. Hierarchy and element handles come\n// from the live render tree.\nexport type Definition = Omit<SimulationProtocol.Frontend.SemanticNode, \"id\" | \"element\" | \"parent\">\n\nconst key = Symbol.for(\"opencode.simulation.semantics\")\n\nconst bind = (definition: () => Definition) => (renderable: Renderable) => {\n  Object.defineProperty(renderable, key, { value: definition, configurable: true })\n}\n\nexport const read = (renderable: Renderable) => {\n  const definition: unknown = Reflect.get(renderable, key)\n  return typeof definition === \"function\" ? (definition as () => Definition) : undefined\n}\n\nexport const SimulationSemantics = { bind, read }\n",
+    "import { InstallationVersion } from \"@opencode-ai/core/installation/version\"\nimport { Effect } from \"effect\"\nimport { SimulationControlServer } from \"../control-server\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationActions, type Harness } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\n\nfunction handle(harness: Harness, request: SimulationProtocol.Frontend.Request) {\n  switch (request.method) {\n    case \"simulation.handshake\":\n      return SimulationProtocol.Handshake.dispatch(\n        {\n          role: \"ui\",\n          server: { name: \"opencode\", version: InstallationVersion },\n          capabilities: SimulationProtocol.Frontend.Capabilities,\n        },\n        request.params,\n      )\n    case \"ui.capture\":\n      return SimulationActions.capture(harness)\n    case \"ui.screenshot\":\n      return SimulationActions.screenshot(harness, request.params?.name)\n    case \"ui.state\":\n      return Effect.sync(() => SimulationActions.state(harness))\n    case \"ui.snapshot\":\n      return Effect.sync(() => SimulationActions.snapshot(harness))\n    case \"ui.matches\":\n      return Effect.sync(() => SimulationActions.matches(harness, request.params.text))\n    case \"ui.recording.finish\":\n      return SimulationRenderer.finish(harness.renderer)\n    case \"ui.type\":\n      return SimulationActions.execute(harness, { type: \"ui.type\", text: request.params.text })\n    case \"ui.enter\":\n      return SimulationActions.execute(harness, { type: \"ui.enter\" })\n    case \"ui.press\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.press\",\n        key: request.params.key,\n        modifiers: request.params.modifiers,\n      })\n    case \"ui.arrow\":\n      return SimulationActions.execute(harness, { type: \"ui.arrow\", direction: request.params.direction })\n    case \"ui.focus\":\n      return SimulationActions.execute(harness, { type: \"ui.focus\", target: request.params.target })\n    case \"ui.click\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.click\",\n        target: request.params.target,\n        x: request.params.x,\n        y: request.params.y,\n        semantic: request.params.semantic,\n      })\n    case \"ui.resize\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.resize\",\n        cols: request.params.cols,\n        rows: request.params.rows,\n      })\n  }\n}\n\nexport const start = Effect.fn(\"SimulationServer.start\")(function* (harness: Harness, endpoint: string) {\n  return yield* SimulationControlServer.start({\n    endpoint,\n    label: \"opencode drive ui websocket\",\n    data: () => ({ drive: true as const }),\n    decode: SimulationProtocol.Frontend.decodeRequestEffect,\n    handle: (_socket, request) => handle(harness, request),\n  })\n})\n\nexport * as SimulationServer from \"./server\"\n",
+    "import { createCliRenderer, type CliRendererConfig } from \"@opentui/core\"\nimport { Config, Effect } from \"effect\"\nimport { DriveManifest } from \"../manifest\"\nimport { SimulationActions } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationServer } from \"./server\"\n\n/** Drive-mode renderer and control-server acquisition. */\nexport const create = Effect.fn(\"Drive.create\")(function* (options: CliRendererConfig) {\n  const headless = (yield* Config.string(\"OPENCODE_DRIVE_RENDERER\").pipe(Config.withDefault(\"visible\"))) === \"headless\"\n  const manifest = yield* DriveManifest.resolve()\n  const renderer = headless\n    ? yield* SimulationRenderer.create(options, manifest.recording?.timeline, manifest.viewport)\n    : yield* Effect.acquireRelease(\n        Effect.tryPromise(() => createCliRenderer(options)),\n        (renderer) =>\n          Effect.sync(() => {\n            if (!renderer.isDestroyed) renderer.destroy()\n          }),\n      )\n  if (!headless && manifest.viewport) renderer.resize(manifest.viewport.cols, manifest.viewport.rows)\n  const server = yield* SimulationServer.start(SimulationActions.createHarness(renderer), manifest.endpoints.ui)\n  yield* Effect.sync(() => process.stderr.write(`opencode drive ui websocket: ${server.url}\\n`))\n  return renderer\n})\n\nexport * as Drive from \"./simulation\"\n"
+  ],
+  "mappings": 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+  "debugId": "28A8AB960E299E4E64756E2164756E21",
+  "names": []
+}

bin/chunk-4e27gt31.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/anthropic-messages.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMError,\n  LLMEvent,\n  Usage,\n  type CacheHint,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderMetadata,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolContent,\n  type ToolResultPart,\n} from \"../schema\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport * as Cache from \"./utils/cache\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"anthropic-messages\"\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\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 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\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\n// blocks inside `tool_result.content`. The array form is required when a tool\n// returns image bytes (screenshot, image search, etc.) so they can be passed\n// to the model as proper image inputs instead of being JSON-stringified into\n// the prompt — which silently inflates context by megabytes and can push the\n// conversation over the model's token limit.\nconst AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock])\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([AnthropicTextBlock, AnthropicImageBlock, AnthropicToolResultBlock])\ntype AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>\nconst AnthropicAssistantBlock = Schema.Union([\n  AnthropicTextBlock,\n  AnthropicThinkingBlock,\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\"]) }),\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.Struct({\n  input_tokens: Schema.optional(Schema.Number),\n  output_tokens: Schema.optional(Schema.Number),\n  cache_creation_input_tokens: optionalNull(Schema.Number),\n  cache_read_input_tokens: optionalNull(Schema.Number),\n})\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  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 usage?: Usage\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 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: () => undefined,\n    required: () => ({ type: \"any\" as const }),\n    tool: (name) => ({ type: \"tool\" as const, name }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n  type: \"tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n  type: \"server_tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\n// Server tool result blocks are typed by name. Anthropic ships three today;\n// extend this list when new server tools land. The block content is the\n// structured payload returned by the provider, which we round-trip as-is.\nconst serverToolResultType = (name: string): AnthropicServerToolResultType | undefined => {\n  if (name === \"web_search\") return \"web_search_tool_result\"\n  if (name === \"code_execution\") return \"code_execution_tool_result\"\n  if (name === \"web_fetch\") return \"web_fetch_tool_result\"\n  return undefined\n}\n\nconst lowerServerToolResult = Effect.fn(\"AnthropicMessages.lowerServerToolResult\")(function* (part: ToolResultPart) {\n  const wireType = serverToolResultType(part.name)\n  if (!wireType)\n    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)\n  return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerImage = Effect.fn(\"AnthropicMessages.lowerImage\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\n    \"Anthropic Messages\",\n    part,\n    new Set<string>(ProviderShared.IMAGE_MIMES),\n  )\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. Keep media as provider-native\n// content instead of JSON-stringifying base64 into a prompt string.\nconst lowerToolResultContentItem = Effect.fn(\"AnthropicMessages.lowerToolResultContentItem\")(function* (\n  item: ToolContent,\n) {\n  if (item.type === \"text\") return { type: \"text\" as const, text: item.text } satisfies AnthropicTextBlock\n  const media = yield* ProviderShared.validateToolFile(\n    \"Anthropic Messages\",\n    item,\n    new Set<string>(ProviderShared.IMAGE_MIMES),\n  )\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\nconst lowerToolResultContent = Effect.fn(\"AnthropicMessages.lowerToolResultContent\")(function* (part: ToolResultPart) {\n  // Text / json / error results stay as a string for backward compatibility\n  // with existing cassettes and provider expectations.\n  if (part.result.type !== \"content\") return ProviderShared.toolResultText(part)\n  // Preserve the narrowed array element type when compiled through a consumer package.\n  const content: ReadonlyArray<ToolContent> = part.result.value\n  return yield* Effect.forEach(content, lowerToolResultContentItem)\n})\n\n// Mid-conversation system messages are a native Claude API feature only for\n// Opus 4.8. Other Anthropic models intentionally use the same visible wrapped-\n// user fallback as non-Anthropic routes rather than sending a role they reject.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => String(request.model.id) === \"claude-opus-4-8\"\n\nconst endsInServerToolUse = (message: LLMRequest[\"messages\"][number]) => {\n  const last = message.content.at(-1)\n  return message.role === \"assistant\" && last?.type === \"tool-call\" && last.providerExecuted === true\n}\n\nconst canUseNativeSystemUpdate = (messages: LLMRequest[\"messages\"], index: number) => {\n  const previous = messages[index - 1]\n  const next = messages[index + 1]\n  return (\n    previous !== undefined &&\n    previous.role !== \"system\" &&\n    (previous.role === \"user\" || previous.role === \"tool\" || endsInServerToolUse(previous)) &&\n    next?.role !== \"system\" &&\n    (next === undefined || next.role === \"assistant\")\n  )\n}\n\nconst splitsLocalToolResults = (messages: LLMRequest[\"messages\"], index: number) => {\n  const pending = new Set<string>()\n  for (const message of messages.slice(0, index)) {\n    for (const part of message.content) {\n      if (message.role === \"assistant\" && part.type === \"tool-call\" && part.providerExecuted !== true)\n        pending.add(part.id)\n      if (message.role === \"tool\" && part.type === \"tool-result\") pending.delete(part.id)\n    }\n  }\n  return pending.size > 0\n}\n\nconst lowerNativeSystemUpdate = Effect.fn(\"AnthropicMessages.lowerNativeSystemUpdate\")(function* (\n  message: LLMRequest[\"messages\"][number],\n  breakpoints: Cache.Breakpoints,\n) {\n  const content = yield* ProviderShared.systemUpdateText(\"Anthropic Messages\", message)\n  return {\n    role: \"system\" as const,\n    content: content.map((part) => ({\n      type: \"text\" as const,\n      text: part.text,\n      cache_control: cacheControl(breakpoints, part.cache),\n    })),\n  }\n})\n\nconst lowerMessages = Effect.fn(\"AnthropicMessages.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: Cache.Breakpoints,\n) {\n  const messages: AnthropicMessage[] = []\n\n  for (const [index, message] of request.messages.entries()) {\n    if (message.role === \"system\") {\n      if (splitsLocalToolResults(request.messages, index))\n        return yield* invalid(\"Anthropic Messages system updates cannot split a local tool call from its tool result\")\n      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {\n        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))\n        continue\n      }\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Anthropic Messages\", message)\n      const block = { type: \"text\" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, block] }\n      else messages.push({ role: \"user\", content: [block] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: AnthropicUserBlock[] = []\n      for (const part of message.content) {\n        if (part.type === \"text\") {\n          content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* lowerImage(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          content.push({\n            type: \"thinking\",\n            thinking: part.text,\n            signature: part.encrypted ?? signatureFromMetadata(part.providerMetadata),\n          })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(part.providerExecuted ? lowerServerToolCall(part) : lowerToolCall(part))\n          continue\n        }\n        if (part.type === \"tool-result\" && part.providerExecuted) {\n          content.push(yield* lowerServerToolResult(part))\n          continue\n        }\n        return yield* invalid(\n          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,\n        )\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: AnthropicToolResultBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"tool\", [\"tool-result\"])\n      content.push({\n        type: \"tool_result\",\n        tool_use_id: part.id,\n        content: yield* lowerToolResultContent(part),\n        is_error: part.result.type === \"error\" ? true : undefined,\n        cache_control: cacheControl(breakpoints, part.cache),\n      })\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\nconst anthropicOptions = (request: LLMRequest) => request.providerOptions?.anthropic\n\nconst lowerThinking = Effect.fn(\"AnthropicMessages.lowerThinking\")(function* (request: LLMRequest) {\n  const thinking = anthropicOptions(request)?.thinking\n  if (!ProviderShared.isRecord(thinking)) return undefined\n  if (thinking.type === \"adaptive\") {\n    const display =\n      thinking.display === \"summarized\"\n        ? (\"summarized\" as const)\n        : thinking.display === \"omitted\"\n          ? (\"omitted\" as const)\n          : undefined\n    return { type: \"adaptive\" as const, ...(display === undefined ? {} : { display }) }\n  }\n  if (thinking.type === \"disabled\") return { type: \"disabled\" as const }\n  if (thinking.type !== \"enabled\") return undefined\n  const budget =\n    typeof thinking.budgetTokens === \"number\"\n      ? thinking.budgetTokens\n      : typeof thinking.budget_tokens === \"number\"\n        ? thinking.budget_tokens\n        : undefined\n  if (budget === undefined) return yield* invalid(\"Anthropic thinking provider option requires budgetTokens\")\n  return { type: \"enabled\" as const, budget_tokens: budget }\n})\n\nconst outputConfig = (request: LLMRequest) => {\n  const effort = anthropicOptions(request)?.effort\n  return typeof effort === \"string\" ? { effort } : undefined\n}\n\nconst fromRequest = Effect.fn(\"AnthropicMessages.fromRequest\")(function* (request: LLMRequest) {\n  const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const outputLimit = request.model.defaults?.limits?.output ?? request.model.route.defaults.limits?.output ?? 4096\n  // Allocate the 4-breakpoint budget in invalidation order: tools → system →\n  // messages. Tools live highest in the cache hierarchy, so when callers\n  // over-mark we keep their tool hints and shed the message-tail ones first.\n  const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)\n  const tools =\n    request.tools.length === 0 || request.toolChoice?.type === \"none\"\n      ? undefined\n      : request.tools.map((tool) =>\n          lowerTool(\n            breakpoints,\n            tool,\n            ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n          ),\n        )\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  return {\n    model: request.model.id,\n    system,\n    messages,\n    tools,\n    tool_choice: toolChoice,\n    stream: true as const,\n    max_tokens: generation?.maxTokens ?? outputLimit,\n    temperature: generation?.temperature,\n    top_p: generation?.topP,\n    top_k: generation?.topK,\n    stop_sequences: generation?.stop,\n    thinking: yield* lowerThinking(request),\n    output_config: outputConfig(request),\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\") 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 *not* broken out by Anthropic — they're billed as\n// part of `output_tokens`, so `reasoningTokens` stays `undefined` and\n// `outputTokens` carries the combined total.\nconst mapUsage = (usage: AnthropicUsage | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const nonCached = usage.input_tokens\n  const cacheRead = usage.cache_read_input_tokens ?? undefined\n  const cacheWrite = usage.cache_creation_input_tokens ?? undefined\n  const inputTokens = ProviderShared.sumTokens(nonCached, cacheRead, cacheWrite)\n  return new Usage({\n    inputTokens,\n    outputTokens: usage.output_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cacheRead,\n    cacheWriteInputTokens: cacheWrite,\n    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  return new Usage({\n    inputTokens,\n    outputTokens,\n    nonCachedInputTokens,\n    cacheReadInputTokens,\n    cacheWriteInputTokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, outputTokens, undefined),\n    providerMetadata: {\n      anthropic: {\n        ...left.providerMetadata?.[\"anthropic\"],\n        ...right.providerMetadata?.[\"anthropic\"],\n      },\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    providerMetadata: anthropicMetadata({ blockType: block.type }),\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          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) {\n    const events: LLMEvent[] = []\n    return [\n      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${event.index ?? 0}`, block.text) },\n      events,\n    ]\n  }\n\n  if (block.type === \"thinking\" && block.thinking) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${event.index ?? 0}`, block.thinking),\n      },\n      events,\n    ]\n  }\n\n  const result = serverToolResultEvent(block)\n  if (!result) return [state, NO_EVENTS]\n  const events: LLMEvent[] = []\n  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]\n}\n\nconst onContentBlockDelta = Effect.fn(\"AnthropicMessages.onContentBlockDelta\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  const delta = event.delta\n\n  if (delta?.type === \"text_delta\" && delta.text) {\n    const events: LLMEvent[] = []\n    return [\n      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${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-${event.index ?? 0}`, delta.thinking),\n      },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"signature_delta\" && delta.signature) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningEnd(\n          state.lifecycle,\n          events,\n          `reasoning-${event.index ?? 0}`,\n          anthropicMetadata({ signature: delta.signature }),\n        ),\n      },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"input_json_delta\" && event.index !== undefined) {\n    if (!delta.partial_json) return [state, NO_EVENTS] satisfies StepResult\n    const result = ToolStream.appendExisting(\n      ADAPTER,\n      state.tools,\n      event.index,\n      delta.partial_json,\n      \"Anthropic Messages tool argument delta is missing its tool call\",\n    )\n    if (ToolStream.isError(result)) return yield* result\n    const events: LLMEvent[] = []\n    const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n    events.push(...result.events)\n    return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n  }\n\n  return [state, NO_EVENTS] satisfies StepResult\n})\n\nconst onContentBlockStop = Effect.fn(\"AnthropicMessages.onContentBlockStop\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  if (event.index === undefined) return [state, NO_EVENTS] satisfies StepResult\n  const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)\n  const events: LLMEvent[] = []\n  const resultEvents = result.events ?? []\n  const 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      )\n  events.push(...resultEvents)\n  return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n})\n\nconst onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const usage = mergeUsage(state.usage, mapUsage(event.usage))\n  const events: LLMEvent[] = []\n  const lifecycle = Lifecycle.finish(state.lifecycle, events, {\n    reason: mapFinishReason(event.delta?.stop_reason),\n    usage,\n    providerMetadata: event.delta?.stop_sequence\n      ? anthropicMetadata({ stopSequence: event.delta.stop_sequence })\n      : undefined,\n  })\n  return [{ ...state, lifecycle, usage }, events]\n}\n\n// Prefix `error.type` so overloads, rate limits, and quota errors are visible\n// even when the provider message is generic or empty.\nconst providerErrorMessage = (event: AnthropicEvent): string => {\n  const type = event.error?.type\n  const message = event.error?.message\n  if (type && message) return `${type}: ${message}`\n  return message || type || \"Anthropic Messages stream error\"\n}\n\nconst onError = (event: AnthropicEvent) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"stream\",\n    reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }),\n  })\n\nconst step = (state: ParserState, event: AnthropicEvent) => {\n  if (event.type === \"message_start\") return Effect.succeed(onMessageStart(state, event))\n  if (event.type === \"content_block_start\") return Effect.succeed(onContentBlockStart(state, event))\n  if (event.type === \"content_block_delta\") return onContentBlockDelta(state, event)\n  if (event.type === \"content_block_stop\") return onContentBlockStop(state, event)\n  if (event.type === \"message_delta\") return Effect.succeed(onMessageDelta(state, event))\n  if (event.type === \"error\") return onError(event)\n  return Effect.succeed<StepResult>([state, NO_EVENTS])\n}\n\n// =============================================================================\n// Protocol And Anthropic Route\n// =============================================================================\n/**\n * The Anthropic Messages protocol — request body construction, body schema,\n * and the streaming-event state machine. Used by native Anthropic Cloud and\n * (once registered) Vertex Anthropic / Bedrock-hosted Anthropic passthrough.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: AnthropicMessagesBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(AnthropicEvent),\n    initial: () => ({ tools: ToolStream.empty<number>(), lifecycle: Lifecycle.initial() }),\n    step,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"anthropic\",\n  providerMetadataKey: \"anthropic\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  framing: Framing.sse,\n  headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages\"\n"
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+}

bin/chunk-4wa5rb7w.js.map

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

bin/chunk-55svrmfe.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/set.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.set,\n  Effect.fn(\"cli.service.set\")(function* (input) {\n    yield* ServiceConfig.set(input.key, input.value)\n  }),\n)\n"
+  ],
+  "mappings": ";o2BAKA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,SACnC,OAAO,QAAG,sBAAiB,OAAE,cAAU,MAAC,OAAO,MAC7C,WAAO,OAAc,SAAI,OAAM,SAAK,OAAM,UAAK,EAChD,CACH",
+  "debugId": "E883190B7E53E4C864756E2164756E21",
+  "names": []
+}

bin/chunk-5nq7qrbr.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
+  ],
+  "mappings": "",
+  "debugId": "680F4F33C0F25EFC64756E2164756E21",
+  "names": []
+}

bin/chunk-6cmnxvpa.js.map

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

bin/chunk-83411saq.js.map

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

bin/chunk-a91rdbr3.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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+  "debugId": "1B246726D8AD070264756E2164756E21",
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+}

bin/chunk-b38ce257.js.map

+{
+  "version": 3,
+  "sources": ["src/services/standalone.ts", "src/services/server-connection.ts"],
+  "sourcesContent": [
+    "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { CrossSpawnSpawner } from \"@opencode-ai/core/cross-spawn-spawner\"\nimport { LayerNode } from \"@opencode-ai/core/effect/layer-node\"\nimport { Deferred, Effect, Schema, Stream } from \"effect\"\nimport { ChildProcess, ChildProcessSpawner } from \"effect/unstable/process\"\nimport { randomBytes } from \"node:crypto\"\nimport { selfCommand } from \"../util/process\"\n\nconst Ready = Schema.Struct({ url: Schema.String })\nconst decodeReady = Schema.decodeUnknownPromise(Schema.fromJsonString(Ready))\n\ntype Options = {\n  readonly command?: ReadonlyArray<string>\n}\n\nfunction command(password: string, options: Options) {\n  const [executable, ...args] = options.command ?? [...selfCommand(), \"serve\"]\n  if (!executable) throw new Error(\"Failed to resolve standalone server command\")\n  return ChildProcess.make(executable, [...args, \"--stdio\", \"--port\", \"0\"], {\n    cwd: process.cwd(),\n    // Explicit entry wins over anything inherited, so a user-exported\n    // OPENCODE_PASSWORD cannot shadow the child's lease credential.\n    env: { OPENCODE_PASSWORD: password },\n    extendEnv: true,\n    // The server treats EOF on this pipe as the end of its ownership lease.\n    // The OS closes it even when the TUI is killed before Effect finalizers run.\n    stdin: \"pipe\",\n    stderr: \"ignore\",\n    killSignal: \"SIGTERM\",\n    forceKillAfter: \"3 seconds\",\n  })\n}\n\nconst makeEndpoint = Effect.fn(\"cli.standalone.endpoint\")(\n  function* (options: Options) {\n    const password = randomBytes(32).toString(\"base64url\")\n    const spawner = yield* ChildProcessSpawner.ChildProcessSpawner\n    const proc = yield* spawner.spawn(command(password, options))\n    const readyLine = yield* Deferred.make<string, Error>()\n    // Keep draining stdout after readiness so later server writes cannot hit EPIPE.\n    yield* proc.stdout.pipe(\n      Stream.decodeText(),\n      Stream.splitLines,\n      Stream.runForEach((line) => Deferred.succeed(readyLine, line)),\n      Effect.ensuring(Deferred.fail(readyLine, new Error(\"Standalone server exited before reporting readiness\"))),\n      Effect.forkScoped,\n    )\n    const output = yield* Deferred.await(readyLine)\n    const ready = yield* Effect.tryPromise(() => decodeReady(output))\n    return {\n      url: ready.url,\n      auth: { type: \"basic\" as const, username: \"opencode\", password },\n      pid: proc.pid,\n    } satisfies Endpoint & { readonly pid: number }\n  },\n  Effect.provide(LayerNode.compile(CrossSpawnSpawner.node)),\n)\n\nexport function start(options: Options = {}) {\n  return makeEndpoint(options)\n}\n\nexport * as Standalone from \"./standalone\"\n",
+    "import { Service, type Endpoint, type EnsureOptions } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, isUnauthorizedError, OpenCode } from \"@opencode-ai/client/promise\"\nimport { InstallationVersion } from \"@opencode-ai/core/installation/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 !== InstallationVersion)\n      process.stderr.write(\n        `Warning: Server at ${endpoint.url} has version ${health.version}; this client is ${InstallationVersion}. Continuing anyway.\\n`,\n      )\n    return { endpoint } satisfies Resolved\n  }\n  if (args.standalone) {\n    return { endpoint: yield* Standalone.start() } satisfies Resolved\n  }\n\n  const options = yield* ServiceConfig.options()\n  return {\n    endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, args.mismatch ?? \"replace\"),\n    service: managedService(options),\n  } satisfies Resolved\n})\n\nfunction managedService(options: EnsureOptions) {\n  const reconnectOptions = { ...options, version: undefined }\n  return {\n    reconnect: () => Service.ensure(reconnectOptions),\n    restart: () =>\n      Effect.gen(function* () {\n        yield* Service.stop(options)\n        yield* Service.ensure(reconnectOptions)\n      }),\n  }\n}\n\nconst resolveManaged = Effect.fnUntraced(function* (\n  options: EnsureOptions,\n  mismatch: NonNullable<Args[\"mismatch\"]>,\n) {\n  if (mismatch === \"replace\") return yield* Service.ensure(options)\n  if (mismatch === \"ignore\") return yield* Service.ensure({ ...options, version: undefined })\n\n  const compatible = yield* Service.discover(options)\n  if (compatible !== undefined) return compatible\n  const existing = yield* Service.discover({ ...options, version: undefined })\n  if (existing !== undefined)\n    return yield* Effect.fail(new Error(\"Background server version does not match this client\"))\n  return yield* Service.ensure(options)\n})\n\nfunction connectError(endpoint: Endpoint, cause: unknown) {\n  if (isUnauthorizedError(cause)) {\n    return new Error(\n      endpoint.auth === undefined\n        ? `Server at ${endpoint.url} requires a password; set OPENCODE_PASSWORD`\n        : `Server at ${endpoint.url} rejected the password`,\n      { cause },\n    )\n  }\n  if (cause instanceof ClientError && cause.reason === \"Transport\")\n    return new Error(`Could not reach server at ${endpoint.url}`, { cause })\n  return new Error(`Server at ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n"
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bin/chunk-b6vx1x4b.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"],
+  "sourcesContent": [
+    "import { Schema } from \"effect\"\nimport type { LLMRequest, TextVerbosity as TextVerbosityValue } from \"../../schema\"\nimport { ReasoningEfforts, TextVerbosity } from \"../../schema\"\n\nexport const OpenAIReasoningEfforts = ReasoningEfforts\nexport type OpenAIReasoningEffort = string\n\n// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this\n// in lockstep with `openai-node/src/resources/responses/responses.ts`.\nexport const OpenAIResponseIncludables = [\n  \"file_search_call.results\",\n  \"web_search_call.results\",\n  \"web_search_call.action.sources\",\n  \"message.input_image.image_url\",\n  \"computer_call_output.output.image_url\",\n  \"code_interpreter_call.outputs\",\n  \"reasoning.encrypted_content\",\n  \"message.output_text.logprobs\",\n] as const\nexport type OpenAIResponseIncludable = (typeof OpenAIResponseIncludables)[number]\nexport const OpenAIServiceTiers = [\"auto\", \"default\", \"flex\", \"priority\"] as const\nexport type OpenAIServiceTier = (typeof OpenAIServiceTiers)[number]\n\nconst TEXT_VERBOSITY = new Set<string>([\"low\", \"medium\", \"high\"])\nconst INCLUDABLES = new Set<string>(OpenAIResponseIncludables)\nconst SERVICE_TIERS = new Set<string>(OpenAIServiceTiers)\n\nexport const OpenAIReasoningEffort = Schema.String\nexport const OpenAITextVerbosity = TextVerbosity\nexport const OpenAIResponseIncludable = Schema.Literals(OpenAIResponseIncludables)\nexport const OpenAIServiceTier = Schema.Literals(OpenAIServiceTiers)\n\nexport const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === \"string\"\n\nconst isTextVerbosity = (value: unknown): value is TextVerbosityValue =>\n  typeof value === \"string\" && TEXT_VERBOSITY.has(value)\n\nconst options = (request: LLMRequest) => request.providerOptions?.openai\n\nexport const store = (request: LLMRequest): boolean | undefined => {\n  const value = options(request)?.store\n  return typeof value === \"boolean\" ? value : undefined\n}\n\nexport const reasoningEffort = (request: LLMRequest): string | undefined => {\n  const value = options(request)?.reasoningEffort\n  return typeof value === \"string\" ? value : undefined\n}\n\nexport const reasoningSummary = (request: LLMRequest): \"auto\" | undefined =>\n  options(request)?.reasoningSummary === \"auto\" ? \"auto\" : undefined\n\n// Resolve the OpenAI Responses `include` field. Filters out unknown\n// includable values defensively so a typo in upstream config drops the\n// invalid entry instead of poisoning the wire body. An empty array (either\n// passed directly or produced by filtering) is treated as \"no include\" and\n// returns undefined so the request body omits the field entirely.\nexport const include = (request: LLMRequest): ReadonlyArray<OpenAIResponseIncludable> | undefined => {\n  const value = options(request)?.include\n  if (!Array.isArray(value)) return undefined\n  const filtered = value.filter((entry): entry is OpenAIResponseIncludable => INCLUDABLES.has(entry))\n  return filtered.length > 0 ? filtered : undefined\n}\n\nexport const promptCacheKey = (request: LLMRequest) => {\n  const value = options(request)?.promptCacheKey\n  return typeof value === \"string\" ? value : undefined\n}\n\nexport const textVerbosity = (request: LLMRequest) => {\n  const value = options(request)?.textVerbosity\n  return isTextVerbosity(value) ? value : undefined\n}\n\nexport const serviceTier = (request: LLMRequest) => {\n  const value = options(request)?.serviceTier\n  return typeof value === \"string\" && SERVICE_TIERS.has(value) ? (value as OpenAIServiceTier) : undefined\n}\n\nexport const instructions = (request: LLMRequest) => {\n  const value = options(request)?.instructions\n  return typeof value === \"string\" ? value : undefined\n}\n\nexport * as OpenAIOptions from \"./openai-options\"\n",
+    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { HttpTransport } from \"../route/transport\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ReasoningPart,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolContent,\n} from \"../schema\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { OpenAIOptions } from \"./utils/openai-options\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"openai-chat\"\nconst IMAGE_MIMES = new Set<string>(ProviderShared.IMAGE_MIMES)\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 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})\ntype OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>\n\nconst OpenAIChatAssistantToolCall = Schema.Struct({\n  id: Schema.String,\n  type: Schema.tag(\"function\"),\n  function: Schema.Struct({\n    name: Schema.String,\n    arguments: Schema.String,\n  }),\n})\ntype OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>\n\nconst OpenAIChatUserContent = Schema.Union([\n  Schema.Struct({ type: Schema.Literal(\"text\"), text: Schema.String }),\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({ role: Schema.Literal(\"system\"), content: Schema.String }),\n  Schema.Struct({\n    role: Schema.Literal(\"user\"),\n    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n  }),\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: optionalArray(Schema.Unknown),\n  }),\n  Schema.Struct({ role: Schema.Literal(\"tool\"), tool_call_id: Schema.String, content: Schema.String }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>\n\nconst OpenAIChatToolChoice = Schema.Union([\n  Schema.Literals([\"auto\", \"none\", \"required\"]),\n  Schema.Struct({\n    type: Schema.tag(\"function\"),\n    function: Schema.Struct({ name: Schema.String }),\n  }),\n])\n\nexport const bodyFields = {\n  model: Schema.String,\n  messages: Schema.Array(OpenAIChatMessage),\n  tools: optionalArray(OpenAIChatTool),\n  tool_choice: Schema.optional(OpenAIChatToolChoice),\n  stream: Schema.Literal(true),\n  stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),\n  store: Schema.optional(Schema.Boolean),\n  reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),\n  max_tokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  top_p: Schema.optional(Schema.Number),\n  frequency_penalty: Schema.optional(Schema.Number),\n  presence_penalty: Schema.optional(Schema.Number),\n  seed: Schema.optional(Schema.Number),\n  stop: optionalArray(Schema.String),\n}\nconst OpenAIChatBody = Schema.Struct(bodyFields)\nexport type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>\n\n// =============================================================================\n// Streaming Event Schema\n// =============================================================================\n// The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the\n// byte stream into strings, then `Protocol.jsonEvent` decodes each string into\n// this provider-native event shape.\nconst OpenAIChatUsage = Schema.Struct({\n  prompt_tokens: Schema.optional(Schema.Number),\n  completion_tokens: Schema.optional(Schema.Number),\n  total_tokens: Schema.optional(Schema.Number),\n  prompt_tokens_details: optionalNull(\n    Schema.Struct({\n      cached_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n  completion_tokens_details: optionalNull(\n    Schema.Struct({\n      reasoning_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n})\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n  name: optionalNull(Schema.String),\n  arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n  index: Schema.Number,\n  id: optionalNull(Schema.String),\n  function: optionalNull(OpenAIChatToolCallDeltaFunction),\n})\ntype OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>\n\nconst OpenAIChatDelta = Schema.Struct({\n  content: optionalNull(Schema.String),\n  reasoning_content: optionalNull(Schema.String),\n  reasoning: optionalNull(Schema.String),\n  reasoning_text: optionalNull(Schema.String),\n  reasoning_details: optionalNull(Schema.Array(Schema.Unknown)),\n  tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),\n})\n\nconst OpenAIChatChoice = Schema.Struct({\n  delta: optionalNull(OpenAIChatDelta),\n  finish_reason: optionalNull(Schema.String),\n})\n\nexport const OpenAIChatEvent = Schema.Struct({\n  choices: Schema.Array(OpenAIChatChoice),\n  usage: optionalNull(OpenAIChatUsage),\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?: FinishReason\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningField?: \"reasoning\" | \"reasoning_content\" | \"reasoning_text\"\n  readonly reasoningDetails: Array<unknown>\n  readonly reasoningDetailsObserved: boolean\n  readonly reasoningEmitted: boolean\n}\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Lowering is the only place that knows how common LLM messages map onto the\n// OpenAI Chat wire format. Keep provider quirks here instead of leaking native\n// fields into `LLMRequest`.\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema): OpenAIChatTool => ({\n  type: \"function\",\n  function: {\n    name: tool.name,\n    description: tool.description,\n    parameters: ToolSchemaProjection.openAI(inputSchema),\n  },\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"OpenAI Chat\", toolChoice, {\n    auto: () => \"auto\" as const,\n    none: () => \"none\" as const,\n    required: () => \"required\" as const,\n    tool: (name) => ({ type: \"function\" as const, function: { name } }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({\n  id: part.id,\n  type: \"function\",\n  function: {\n    name: part.name,\n    arguments: ProviderShared.encodeJson(part.input),\n  },\n})\n\nconst lowerMedia = Effect.fn(\"OpenAIChat.lowerMedia\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\"OpenAI Chat\", part, IMAGE_MIMES)\n  return { type: \"image_url\" as const, image_url: { url: media.dataUrl } }\n})\n\nconst openAICompatibleReasoningContent = (native: unknown) =>\n  isRecord(native) && typeof native.reasoning_content === \"string\" ? native.reasoning_content : undefined\n\nconst reasoningField = (part: ReasoningPart) => {\n  const field = part.providerMetadata?.openai?.reasoningField\n  if (field === \"reasoning\" || field === \"reasoning_content\" || field === \"reasoning_text\") return field\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* (message: OpenAIChatRequestMessage) {\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 })\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\"))\n    return { role: \"user\" as const, content: content.map((part) => part.text).join(\"\") }\n  return { role: \"user\" as const, content }\n})\n\nconst lowerAssistantMessage = Effect.fn(\"OpenAIChat.lowerAssistantMessage\")(function* (\n  message: OpenAIChatRequestMessage,\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 (reasoning.length === 0) return\n    if (observedField !== undefined) return observedField\n    if (nativeReasoning !== undefined) return \"reasoning_content\"\n    if (!fullyStructured) return \"reasoning_content\"\n  })()\n  const reasoningContent = (() => {\n    if (reasoning.length === 0) return nativeReasoning\n    if (field === \"reasoning_content\") return text\n  })()\n  return {\n    role: \"assistant\" as const,\n    content: content.length === 0 ? null : ProviderShared.joinText(content),\n    tool_calls: toolCalls.length === 0 ? undefined : toolCalls,\n    reasoning_content: reasoningContent,\n    reasoning: reasoning.length > 0 && field === \"reasoning\" ? text : undefined,\n    reasoning_text: reasoning.length > 0 && field === \"reasoning_text\" ? text : undefined,\n    reasoning_details: details,\n  }\n})\n\nconst lowerToolMessages = Effect.fn(\"OpenAIChat.lowerToolMessages\")(function* (message: OpenAIChatRequestMessage) {\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({ role: \"tool\", tool_call_id: part.id, content: ProviderShared.toolResultText(part) })\n      continue\n    }\n    const content: ReadonlyArray<ToolContent> = part.result.value\n    const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n    messages.push({ role: \"tool\", tool_call_id: part.id, content: text.join(\"\\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* (message: OpenAIChatRequestMessage) {\n  if (message.role === \"user\") return [yield* lowerUserMessage(message)]\n  if (message.role === \"assistant\") return [yield* lowerAssistantMessage(message)]\n  return (yield* lowerToolMessages(message)).messages\n})\n\nconst lowerMessages = Effect.fn(\"OpenAIChat.lowerMessages\")(function* (request: LLMRequest) {\n  const system: OpenAIChatMessage[] =\n    request.system.length === 0 ? [] : [{ 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({ role: \"user\", content: [...pendingImages.splice(0), { type: \"text\", text: part.text }] })\n        continue\n      }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\" && typeof previous.content === \"string\")\n        messages[messages.length - 1] = { 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: [...previous.content, { type: \"text\", text: part.text }],\n        }\n      else messages.push({ role: \"user\", content: part.text })\n      continue\n    }\n    if (message.role === \"tool\") {\n      const lowered = yield* lowerToolMessages(message)\n      messages.push(...lowered.messages)\n      pendingImages.push(...lowered.images)\n      continue\n    }\n    flushImages()\n    messages.push(...(yield* lowerMessage(message)))\n  }\n  flushImages()\n  return messages\n})\n\nconst lowerOptions = Effect.fn(\"OpenAIChat.lowerOptions\")(function* (request: LLMRequest) {\n  const store = OpenAIOptions.store(request)\n  const reasoningEffort = OpenAIOptions.reasoningEffort(request)\n  return {\n    ...(store !== undefined ? { store } : {}),\n    ...(reasoningEffort ? { reasoning_effort: reasoningEffort } : {}),\n  }\n})\n\nconst fromRequest = Effect.fn(\"OpenAIChat.fromRequest\")(function* (request: LLMRequest) {\n  // `fromRequest` returns the provider body only. Endpoint, auth, framing,\n  // validation, and HTTP execution are composed by `Route.make`.\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  return {\n    model: request.model.id,\n    messages: yield* lowerMessages(request),\n    tools:\n      request.tools.length === 0\n        ? undefined\n        : request.tools.map((tool) =>\n            lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n          ),\n    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,\n    stream: true as const,\n    stream_options: { include_usage: true },\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    ...(yield* 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  return \"unknown\"\n}\n\n// OpenAI Chat reports `prompt_tokens` (inclusive total) with a\n// `cached_tokens` subset, and `completion_tokens` (inclusive total) with\n// a `reasoning_tokens` subset. We pass the inclusive totals through and\n// derive the non-cached breakdown so the `LLM.Usage` contract is\n// satisfied on both sides.\nconst mapUsage = (usage: OpenAIChatEvent[\"usage\"]): Usage | undefined => {\n  if (!usage) return undefined\n  const cached = usage.prompt_tokens_details?.cached_tokens\n  const reasoning = usage.completion_tokens_details?.reasoning_tokens\n  const nonCached = ProviderShared.subtractTokens(usage.prompt_tokens, cached)\n  return new Usage({\n    inputTokens: usage.prompt_tokens,\n    outputTokens: usage.completion_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    reasoningTokens: reasoning,\n    totalTokens: ProviderShared.totalTokens(usage.prompt_tokens, usage.completion_tokens, usage.total_tokens),\n    providerMetadata: { openai: usage },\n  })\n}\n\nconst reasoningDelta = (delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined) => {\n  if (delta?.reasoning_content) return { field: \"reasoning_content\", text: delta.reasoning_content } as const\n  if (delta?.reasoning) return { field: \"reasoning\", text: delta.reasoning } as const\n  if (delta?.reasoning_text) return { field: \"reasoning_text\", text: delta.reasoning_text } as const\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    const events: LLMEvent[] = []\n    const usage = mapUsage(event.usage) ?? state.usage\n    const choice = event.choices[0]\n    const finishReason = choice?.finish_reason ? mapFinishReason(choice.finish_reason) : state.finishReason\n    const delta = choice?.delta\n    const toolDeltas = delta?.tool_calls ?? []\n    let tools = state.tools\n    let pendingTools = state.pendingTools\n\n    let lifecycle = state.lifecycle\n\n    const reasoning = reasoningDelta(delta)\n    const reasoningField = state.reasoningField ?? (!state.lifecycle.text.has(\"text-0\") ? reasoning?.field : undefined)\n    const detailDelta = Array.isArray(delta?.reasoning_details) ? delta.reasoning_details : undefined\n    if (detailDelta !== undefined) appendReasoningDetails(state.reasoningDetails, detailDelta)\n    const reasoningDetailsObserved = state.reasoningDetailsObserved || detailDelta !== undefined\n    const deltaMetadata = reasoningMetadata(reasoningField)\n    const text = detailDelta?.length ? (detailText(detailDelta) ?? reasoning?.text) : reasoning?.text\n    if (!state.lifecycle.text.has(\"text-0\") && text !== undefined)\n      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n    else if (\n      reasoningDetailsObserved &&\n      !lifecycle.reasoning.has(\"reasoning-0\") &&\n      (Boolean(delta?.content) || toolDeltas.length > 0)\n    )\n      lifecycle = Lifecycle.reasoningStart(lifecycle, events, \"reasoning-0\", deltaMetadata)\n    const reasoningEmitted = state.reasoningEmitted || lifecycle.reasoning.has(\"reasoning-0\")\n\n    if (delta?.content) {\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.content)\n    }\n\n    for (const tool of toolDeltas) {\n      const current = tools[tool.index]\n      const pending = pendingTools[tool.index]\n      const id = current?.id ?? pending?.id ?? (tool.id || undefined)\n      const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)\n      const text = `${pending?.input ?? \"\"}${tool.function?.arguments ?? \"\"}`\n      if (!current && (!id || !name)) {\n        pendingTools = { ...pendingTools, [tool.index]: { id: id || undefined, name: name || undefined, input: text } }\n        continue\n      }\n      if (pending) {\n        pendingTools = { ...pendingTools }\n        delete pendingTools[tool.index]\n      }\n      const result = ToolStream.appendOrStart(\n        ADAPTER,\n        tools,\n        tool.index,\n        { id: id || undefined, name: name || undefined, text },\n        \"OpenAI Chat tool call delta is missing id or name\",\n      )\n      if (ToolStream.isError(result)) return yield* result\n      tools = result.tools\n      if (result.events.length) lifecycle = Lifecycle.stepStart(lifecycle, events)\n      events.push(...result.events)\n    }\n\n    if (finishReason !== undefined && state.finishReason === undefined && Object.keys(pendingTools).length > 0)\n      return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat tool call delta is missing id or name\")\n\n    // Finalize accumulated tool inputs eagerly when finish_reason arrives so\n    // valid calls and malformed local calls settle independently.\n    const finished =\n      finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0\n        ? yield* ToolStream.finishAll(ADAPTER, tools)\n        : undefined\n\n    return [\n      {\n        tools: finished?.tools ?? tools,\n        pendingTools,\n        toolCallEvents: finished?.events ?? state.toolCallEvents,\n        usage,\n        finishReason,\n        lifecycle,\n        reasoningField,\n        reasoningDetails: state.reasoningDetails,\n        reasoningDetailsObserved,\n        reasoningEmitted,\n      },\n      events,\n    ] as const\n  })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n  const events: LLMEvent[] = []\n  const hasToolCalls = state.toolCallEvents.length > 0\n  const reason = state.finishReason === \"stop\" && hasToolCalls ? \"tool-calls\" : state.finishReason\n  const metadata = reasoningMetadata(\n    state.reasoningField,\n    state.reasoningDetailsObserved ? state.reasoningDetails : undefined,\n  )\n  const started =\n    state.reasoningDetailsObserved && !state.reasoningEmitted\n      ? Lifecycle.reasoningStart(state.lifecycle, events, \"reasoning-0\", reasoningMetadata(state.reasoningField))\n      : state.lifecycle\n  const ended = Lifecycle.reasoningEnd(started, events, \"reasoning-0\", metadata)\n  const lifecycle = state.toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n  events.push(...state.toolCallEvents)\n  if (reason) Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })\n  return events\n}\n\n// =============================================================================\n// Protocol And OpenAI Route\n// =============================================================================\n/**\n * The OpenAI Chat protocol — request body construction, body schema, and the\n * streaming-event state machine. Reused by every route that speaks OpenAI Chat\n * over HTTP+SSE: native OpenAI, DeepSeek, TogetherAI, Cerebras, Baseten,\n * Fireworks, DeepInfra, and (once added) Azure OpenAI Chat.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: OpenAIChatBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(OpenAIChatEvent),\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      pendingTools: {},\n      toolCallEvents: [],\n      lifecycle: Lifecycle.initial(),\n      reasoningField: undefined,\n      reasoningDetails: [],\n      reasoningDetailsObserved: false,\n      reasoningEmitted: false,\n    }),\n    step,\n    onHalt: finishEvents,\n  },\n})\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIChatBody>()\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"openai\",\n  providerMetadataKey: \"openai\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  transport: httpTransport,\n})\n\nexport * as OpenAIChat from \"./openai-chat\"\n"
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+  "debugId": "9AF903A0C30CC50664756E2164756E21",
+  "names": []
+}

bin/chunk-bcqe5605.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/core/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: ${url}`))\n    if (url && environment) return yield* Effect.fail(new Error(\"--env is only valid for local MCP servers\"))\n    if (hasCommand && headers) return yield* Effect.fail(new Error(\"--header is only valid for remote MCP servers\"))\n\n    const server = url\n      ? { type: \"remote\" as const, url, ...(headers ? { headers } : {}) }\n      : { type: \"local\" as const, command, ...(environment ? { environment } : {}) }\n\n    const configPath = yield* Effect.promise(() => resolveConfigPath(input.global ? Global.Path.config : process.cwd()))\n    yield* Effect.promise(() => write(configPath, input.name, server))\n    process.stdout.write(`MCP server \"${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": "F2559F296EF35C6D64756E2164756E21",
+  "names": []
+}

bin/chunk-cb3d5vtf.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"],
+  "sourcesContent": [
+    "import type { ProviderPackage } from \"../provider-package\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { ProviderID, type ModelID } from \"../schema\"\n\nexport const id = ProviderID.make(\"anthropic-compatible\")\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\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  }\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({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic-compatible apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n  }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible\"\n",
+    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { AnthropicCompatible } from \"./anthropic-compatible\"\n\nexport const id = ProviderID.make(\"anthropic\")\n\nexport const routes = [AnthropicMessages.route]\n\nexport type Config = RouteDefaultsInput & ProviderAuthOption<\"optional\"> & { readonly baseURL?: string }\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  }\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>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n  }).model(modelID)\n}\n"
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+  "debugId": "66EB2590FB2B11C264756E2164756E21",
+  "names": []
+}

bin/chunk-d9xyts3n.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/azure.ts"],
+  "sourcesContent": [
+    "import { Auth } from \"../route/auth\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\n\nexport const id = ProviderID.make(\"azure\")\nconst routeAuth = Auth.remove(\"authorization\")\n\n// Azure needs the customer's resource URL; supply either `resourceName`\n// (helper builds the URL) or `baseURL` directly.\ntype AzureURL = AtLeastOne<{ readonly resourceName: string; readonly baseURL: string }>\n\nexport type ModelOptions = AzureURL &\n  RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly apiVersion?: string\n    readonly queryParams?: Record<string, string>\n    readonly useCompletionUrls?: boolean\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\nexport type Config = ModelOptions\n\nexport type Settings = ProviderPackage.Settings &\n  AzureURL & {\n    readonly apiKey?: string\n    readonly apiVersion?: string\n    readonly queryParams?: Readonly<Record<string, string>>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai/v1`\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"azure-openai-responses\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"azure-openai-chat\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n  const {\n    apiKey: _,\n    apiVersion: _apiVersion,\n    resourceName: _resourceName,\n    useCompletionUrls: _useCompletionUrls,\n    baseURL: _baseURL,\n    queryParams: _queryParams,\n    ...rest\n  } = input\n  if (\"auth\" in rest) {\n    const { auth: _, ...withoutAuth } = rest\n    return withoutAuth\n  }\n  return rest\n}\n\nconst auth = (input: Config) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.remove(\"authorization\").andThen(\n    Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n      .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n      .pipe(Auth.header(\"api-key\")),\n  )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: {\n      // AtLeastOne guarantees at least one is set; baseURL wins if both are.\n      baseURL: input.baseURL ?? resourceBaseURL(input.resourceName!),\n      query: {\n        ...(input.apiVersion ? { \"api-version\": input.apiVersion } : {}),\n        ...input.queryParams,\n      },\n    },\n  })\n\nexport const configure = (input: Config) => {\n  const configuredResponsesRoute = configuredRoute(responsesRoute, input)\n  const configuredChatRoute = configuredRoute(chatRoute, input)\n  const modelDefaults = defaults(input)\n\n  const responses = (modelID: string | ModelID) =>\n    configuredResponsesRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })\n\n  const chat = (modelID: string | ModelID) =>\n    configuredChatRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })\n\n  return {\n    id,\n    model: (modelID: string | ModelID) => (input.useCompletionUrls === true ? chat(modelID) : responses(modelID)),\n    responses,\n    chat,\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nconst config = (settings: Settings): Config => {\n  const common = {\n    apiKey: settings.apiKey,\n    apiVersion: settings.apiVersion,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n  if (settings.baseURL !== undefined) return { ...common, baseURL: settings.baseURL }\n  if (settings.resourceName !== undefined) return { ...common, resourceName: settings.resourceName }\n  throw new Error(\"Azure requires resourceName or baseURL\")\n}\n\nexport const responsesModel: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) =>\n  configure(config(settings)).responses(modelID)\nexport const chatModel: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) =>\n  configure(config(settings)).chat(modelID)\nexport const model = responsesModel\n"
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+  "debugId": "DF05072002107B6A64756E2164756E21",
+  "names": []
+}

bin/chunk-dane5a61.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": ";i3BAMA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,UACnC,OAAO,QAAG,uBAAkB,OAAE,cAAU,OAAG,MACzC,WAAO,OAAQ,UAAK,WAAO,OAAc,aAAQ,MAAC,OACnD,CACH",
+  "debugId": "328D68D3EC323AAF64756E2164756E21",
+  "names": []
+}

bin/chunk-dk1260ts.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/service/get.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.get,\n  Effect.fn(\"cli.service.get\")(function* (input) {\n    process.stdout.write((yield* ServiceConfig.get(Option.getOrUndefined(input.key))) + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";42BAAA,mBAAS,gBAMT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,SACnC,OAAO,QAAG,sBAAiB,OAAE,cAAU,MAAC,OAAO,MAC7C,aAAQ,YAAO,YAAO,WAAO,OAAc,IAAI,EAAO,eAAe,EAAM,GAAG,CAAC,GAAK,CAAG,EACxF,CACH",
+  "debugId": "409126D0A510E2A164756E2164756E21",
+  "names": []
+}

bin/chunk-dq5b392h.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/route/auth-options.ts"],
+  "sourcesContent": [
+    "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth\"\n\nexport type ApiKeyMode = \"optional\" | \"required\"\n\nexport type AuthOverride = {\n  readonly auth: Auth.Definition\n  readonly apiKey?: never\n}\n\nexport type OptionalApiKeyAuth = {\n  readonly apiKey?: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n  readonly auth?: never\n}\n\nexport type RequiredApiKeyAuth = {\n  readonly apiKey: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n  readonly auth?: never\n}\n\nexport type ProviderAuthOption<Mode extends ApiKeyMode> =\n  | AuthOverride\n  | (Mode extends \"optional\" ? OptionalApiKeyAuth : RequiredApiKeyAuth)\n\nexport type ModelOptions<Base, Mode extends ApiKeyMode> = Omit<Base, \"apiKey\" | \"auth\"> & ProviderAuthOption<Mode>\n\nexport type ModelArgs<Base, Mode extends ApiKeyMode> = Mode extends \"optional\"\n  ? readonly [options?: ModelOptions<Base, Mode>]\n  : readonly [options: ModelOptions<Base, Mode>]\n\nexport type ModelFactory<Base, Mode extends ApiKeyMode, Model> = (id: string, ...args: ModelArgs<Base, Mode>) => Model\n\n/**\n * Require at least one of the keys in `T`. Use for option shapes where any\n * subset of fields is acceptable but at least one must be present (e.g. Azure\n * accepts `resourceName` or `baseURL`).\n */\nexport type AtLeastOne<T> = {\n  [K in keyof T]: Required<Pick<T, K>> & Partial<Omit<T, K>>\n}[keyof T]\n\n/**\n * Standard bearer-auth resolution for providers: honor an explicit `auth`\n * override, otherwise resolve `apiKey` (option > config var) and apply it as\n * a bearer token.\n */\nexport const bearer = (\n  options: ProviderAuthOption<\"optional\">,\n  envVar: string | ReadonlyArray<string>,\n): Auth.Definition => {\n  if (\"auth\" in options && options.auth) return options.auth\n  return (Array.isArray(envVar) ? envVar : [envVar])\n    .reduce(\n      (auth, name) => auth.orElse(Auth.config(name)),\n      Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\"),\n    )\n    .bearer()\n}\n\nexport * as AuthOptions from \"./auth-options\"\n"
+  ],
+  "mappings": ";kJA8CO,SAAM,EAAS,CACpB,EACA,IACoB,CACpB,GAAI,SAAU,GAAW,EAAQ,KAAM,OAAO,EAAQ,KACtD,OAAQ,MAAM,QAAQ,CAAM,EAAI,EAAS,CAAC,CAAM,GAC7C,OACC,CAAC,EAAM,IAAS,EAAK,OAAO,EAAK,OAAO,CAAI,CAAC,EAC7C,EAAK,SAAS,WAAY,EAAU,EAAQ,OAAS,OAAW,QAAQ,CAC1E,EACC,OAAO",
+  "debugId": "C49BC9094144EAA764756E2164756E21",
+  "names": []
+}

bin/chunk-eg0ryttw.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 } from \"effect/unstable/http\"\nimport {\n  ImageModel,\n  GeneratedImage,\n  ImageResponse,\n  type ImageRequest,\n  type ImageModelDefaults,\n  type ImageRoute,\n} from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport { InvalidProviderOutputReason, LLMError, Usage, mergeHttpOptions, mergeJsonRecords } from \"../schema\"\nimport { ProviderShared } from \"./shared\"\nimport { OpenAIImage } from \"./utils/openai-image\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\n\nexport interface OpenAIImageOptions {\n  readonly quality?: \"auto\" | \"low\" | \"medium\" | \"high\"\n  readonly background?: \"auto\" | \"opaque\" | \"transparent\"\n  readonly moderation?: \"auto\" | \"low\"\n  readonly outputFormat?: \"png\" | \"jpeg\" | \"webp\"\n  readonly outputCompression?: number\n}\n\nconst OpenAIImageBody = Schema.Struct({\n  model: Schema.String,\n  prompt: Schema.String,\n  n: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),\n  size: Schema.optional(Schema.String),\n  quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n  background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n  moderation: Schema.optional(Schema.Literals([\"auto\", \"low\"])),\n  output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n  output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n})\nexport type OpenAIImageBody = Schema.Schema.Type<typeof OpenAIImageBody>\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 defaults?: ImageModelDefaults\n}\n\nconst providerOptions = (request: ImageRequest): OpenAIImageOptions => ({\n  ...request.model.defaults?.providerOptions?.openai,\n  ...request.providerOptions?.openai,\n})\n\nconst body = (request: ImageRequest): OpenAIImageBody => {\n  const options = providerOptions(request)\n  return {\n    model: request.model.id,\n    prompt: request.prompt,\n    n: request.count,\n    size: request.size === undefined ? undefined : `${request.size.width}x${request.size.height}`,\n    quality: options.quality,\n    background: options.background,\n    moderation: options.moderation,\n    output_format: options.outputFormat,\n    output_compression: options.outputCompression,\n  }\n}\n\nconst invalidOutput = (message: string) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nconst PROTOCOL_BODY_FIELDS = new Set([\n  \"model\",\n  \"prompt\",\n  \"n\",\n  \"size\",\n  \"quality\",\n  \"background\",\n  \"moderation\",\n  \"output_format\",\n  \"output_compression\",\n])\n\nconst bodyWithOverlay = Effect.fn(\"OpenAIImages.bodyWithOverlay\")(function* (\n  imageBody: OpenAIImageBody,\n  overlay: Record<string, unknown> | undefined,\n) {\n  if (!overlay) return imageBody\n  const reserved = Object.keys(overlay).filter((key) => PROTOCOL_BODY_FIELDS.has(key))\n  if (reserved.length > 0)\n    return yield* ProviderShared.invalidRequest(\n      `http.body cannot overlay protocol-owned field(s): ${reserved.join(\", \")}`,\n    )\n  return mergeJsonRecords(imageBody, overlay) ?? imageBody\n})\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute = {\n    id: ADAPTER,\n    generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequest, execute) {\n      if (request.aspectRatio !== undefined)\n        return yield* ProviderShared.invalidRequest(\"OpenAI Images does not support the common aspectRatio option\")\n      if (request.seed !== undefined)\n        return yield* ProviderShared.invalidRequest(\"OpenAI Images does not support the common seed option\")\n\n      const requestBody = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIImageBody))(body(request))\n      const http = mergeHttpOptions(request.model.defaults?.http, request.http)\n      const overlaidBody = yield* bodyWithOverlay(requestBody, http?.body)\n      const text = ProviderShared.encodeJson(overlaidBody)\n      const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${PATH}`, http?.query)\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 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 format = decoded.output_format ?? providerOptions(request).outputFormat ?? \"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  }\n  return ImageModel.make({ id: input.id, provider: \"openai\", route, defaults: input.defaults })\n}\n\nexport const OpenAIImages = {\n  model,\n} as const\n",
+    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\nimport { OpenAIImages, type OpenAIImageOptions } from \"../protocols/openai-images\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIResponses.webSocketRoute, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly queryParams?: Record<string, string>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n    readonly image?: ImageConfig\n  }\n\nexport interface ImageConfig {\n  readonly providerOptions?: OpenAIImageOptions\n}\n\nexport interface ImageGenerationOptions {\n  readonly action?: \"auto\" | \"generate\" | \"edit\"\n  readonly background?: \"auto\" | \"opaque\" | \"transparent\"\n  readonly inputFidelity?: \"low\" | \"high\"\n  readonly outputCompression?: number\n  readonly outputFormat?: \"png\" | \"jpeg\" | \"webp\"\n  readonly partialImages?: number\n  readonly quality?: \"auto\" | \"low\" | \"medium\" | \"high\"\n  readonly size?: string\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n  ToolDefinition.make({\n    name: \"image_generation\",\n    description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n    inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n    native: {\n      openai: {\n        type: \"image_generation\",\n        action: options.action,\n        background: options.background,\n        input_fidelity: options.inputFidelity,\n        output_compression: options.outputCompression,\n        output_format: options.outputFormat,\n        partial_images: options.partialImages,\n        quality: options.quality,\n        size: options.size,\n      },\n    },\n  })\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly organization?: string\n  readonly project?: string\n  readonly queryParams?: Readonly<Record<string, string>>\n  readonly transport?: \"http\" | \"websocket\"\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, image: _image, ...rest } = input\n  return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: { baseURL: input.baseURL, query: input.queryParams },\n  })\n\nexport const configure = (input: Config = {}) => {\n  const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n  const responsesWebSocketRoute = configuredRoute(OpenAIResponses.webSocketRoute, input)\n  const chatRoute = configuredRoute(OpenAIChat.route, input)\n  const modelDefaults = defaults(input)\n  const responses = (id: string | ModelID) =>\n    responsesRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })\n  const responsesWebSocket = (id: string | ModelID) =>\n    responsesWebSocketRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })\n  const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ 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      defaults: {\n        providerOptions:\n          input.image?.providerOptions === undefined ? undefined : { openai: { ...input.image.providerOptions } },\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\n  return {\n    id,\n    model: responses,\n    responses,\n    responsesWebSocket,\n    chat,\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n  const headers = {\n    ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n    ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n    ...settings.headers,\n  }\n  return {\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: Object.keys(headers).length === 0 ? undefined : headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n}\n\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  const configured = configure(config(settings))\n  if (settings.transport === undefined || settings.transport === \"http\") return configured.responses(modelID)\n  if (settings.transport === \"websocket\") return configured.responsesWebSocket(modelID)\n  throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) =>\n  configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const responsesWebSocket = provider.responsesWebSocket\nexport const chat = provider.chat\nexport const image = provider.image\n"
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+  "debugId": "6748DFA75446837D64756E2164756E21",
+  "names": []
+}

bin/chunk-eh8nws4h.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/utils/tool-stream.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { LLMError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from \"../../schema\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared\"\n\ntype StreamKey = string | number\n\n/**\n * One pending streamed tool call. Providers emit the tool identity and JSON\n * argument text across separate chunks; `input` is the raw JSON string collected\n * so far, not the parsed object.\n */\nexport interface PendingTool extends ToolAccumulator {\n  readonly providerExecuted?: boolean\n  readonly providerMetadata?: ProviderMetadata\n}\n\n/**\n * Sparse parser state keyed by the provider's stream-local tool identifier.\n *\n * This key is not the final tool-call id (`call_...`). It is the id/index the\n * provider uses while streaming a partial call: OpenAI Chat / Anthropic /\n * Bedrock use numeric content indexes, while OpenAI Responses uses string\n * `item_id`s. The generic keeps each protocol internally consistent.\n */\nexport type State<K extends StreamKey> = Partial<Record<K, PendingTool>>\n\n/**\n * Result of adding argument text to one pending tool call. It returns both the\n * next `tools` state and the updated `tool` because parsers often need the\n * current id/name immediately. `events` contains lifecycle and delta events\n * produced by the append; metadata-only deltas update identity without output.\n */\nexport interface AppendOutcome<K extends StreamKey> {\n  readonly tools: State<K>\n  readonly tool: PendingTool\n  readonly events: ReadonlyArray<LLMEvent>\n}\n\n/** Create empty accumulator state for one provider stream. */\nexport const empty = <K extends StreamKey>(): State<K> => ({})\n\nconst withTool = <K extends StreamKey>(tools: State<K>, key: K, tool: PendingTool): State<K> => {\n  return { ...tools, [key]: tool }\n}\n\nconst withoutTool = <K extends StreamKey>(tools: State<K>, key: K): State<K> => {\n  const next = { ...tools }\n  delete next[key]\n  return next\n}\n\nconst inputStart = (tool: PendingTool) =>\n  LLMEvent.toolInputStart({\n    id: tool.id,\n    name: tool.name,\n    providerExecuted: tool.providerExecuted ? true : undefined,\n    providerMetadata: tool.providerMetadata,\n  })\n\nconst inputDelta = (tool: PendingTool, text: string) =>\n  LLMEvent.toolInputDelta({\n    id: tool.id,\n    name: tool.name,\n    text,\n  })\n\nconst toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {\n  const raw = inputOverride ?? tool.input\n  return parseToolInput(route, tool.name, raw).pipe(\n    Effect.map((input): ToolCall | ToolInputError =>\n      LLMEvent.toolCall({\n        id: tool.id,\n        name: tool.name,\n        input,\n        providerExecuted: tool.providerExecuted ? true : undefined,\n        providerMetadata: tool.providerMetadata,\n      }),\n    ),\n    Effect.catch((error) =>\n      tool.providerExecuted\n        ? Effect.fail(error)\n        : Effect.succeed(\n            LLMEvent.toolInputError({\n              id: tool.id,\n              name: tool.name,\n              raw,\n            }),\n          ),\n    ),\n  )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>\n  event.type === \"tool-input-error\"\n    ? [event]\n    : [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n  tools: State<K>,\n  key: K,\n  tool: PendingTool,\n  text: string,\n): AppendOutcome<K> => {\n  const events: LLMEvent[] = []\n  if (!tools[key]) events.push(inputStart(tool))\n  if (text.length > 0) events.push(inputDelta(tool, text))\n  return {\n    tools: withTool(tools, key, tool),\n    tool,\n    events,\n  }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | LLMError): result is LLMError =>\n  result instanceof LLMError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n  tools: State<K>,\n  key: K,\n  tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n  route: string,\n  tools: State<K>,\n  key: K,\n  delta: { readonly id?: string; readonly name?: string; readonly text: string },\n  missingToolMessage: string,\n): AppendOutcome<K> | LLMError => {\n  const current = tools[key]\n  const id = current?.id ?? delta.id\n  const name = current?.name ?? delta.name\n  if (!id || !name) return eventError(route, missingToolMessage)\n\n  const tool = {\n    id,\n    name,\n    input: `${current?.input ?? \"\"}${delta.text}`,\n    providerExecuted: current?.providerExecuted,\n    providerMetadata: current?.providerMetadata,\n  }\n  if (current && delta.text.length === 0 && current.id === id && current.name === name)\n    return { tools, tool: current, events: [] }\n  return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n  route: string,\n  tools: State<K>,\n  key: K,\n  text: string,\n  missingToolMessage: string,\n): AppendOutcome<K> | LLMError => {\n  const current = tools[key]\n  if (!current) return eventError(route, missingToolMessage)\n  if (text.length === 0) return { tools, tool: current, events: [] }\n  return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and return either a call or a non-executable local input error.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n  Effect.gen(function* () {\n    const tool = tools[key]\n    if (!tool) return { tools }\n    return {\n      tools: withoutTool(tools, key),\n      events: finishEvents(tool, yield* toolCall(route, tool)),\n    }\n  })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n  Effect.gen(function* () {\n    const tool = tools[key]\n    if (!tool) return { tools }\n    return {\n      tools: withoutTool(tools, key),\n      events: finishEvents(tool, yield* toolCall(route, tool, input)),\n    }\n  })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n  Effect.gen(function* () {\n    const pending = Object.values<PendingTool | undefined>(tools).filter(\n      (tool): tool is PendingTool => tool !== undefined,\n    )\n    return {\n      tools: empty<K>(),\n      events: yield* Effect.forEach(pending, (tool) =>\n        toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n      ).pipe(Effect.map((events) => events.flat())),\n    }\n  })\n\nexport * as ToolStream from \"./tool-stream\"\n"
+  ],
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+  "debugId": "A439E97E363A195164756E2164756E21",
+  "names": []
+}

bin/chunk-f165r9ge.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/core/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\n\nconst integrationID = \"opencode\"\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.console.commands.login,\n  Effect.fn(\"cli.console.login\")(function* (input) {\n    const timeline = yield* Effect.acquireRelease(\n      Effect.promise(() => createTimelineHost()),\n      (value) => request(() => value.close()).pipe(Effect.ignore),\n    )\n    const exit = yield* login(timeline, Option.getOrUndefined(input.url)).pipe(\n      Effect.raceFirst(AppProcess.waitForAbort(timeline.signal)),\n      Effect.exit,\n    )\n    if (Exit.isSuccess(exit)) return\n\n    const cancelled = timeline.signal.aborted\n    yield* request(() => timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(exit.cause))).pipe(\n      Effect.ignore,\n    )\n    process.exitCode = cancelled ? 130 : 1\n  }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n  yield* request(() => timeline.intro(\"Log in\"))\n  yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n  const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n  const method = yield* required(\n    integration.methods.find((candidate) => candidate.type === \"oauth\"),\n    \"OpenCode Console login is unavailable\",\n  )\n\n  yield* request(() => timeline.pending(\"Starting authorization...\"))\n  const started = yield* request((signal) =>\n    client.integration.oauth.connect(\n      {\n        integrationID,\n        methodID: method.id,\n        inputs: server ? { server } : {},\n        location,\n      },\n      { signal },\n    ),\n  )\n  const attempt = started.data\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.oauth.cancel(\n        { integrationID, attemptID: attempt.attemptID, location },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n  yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n  yield* request(() => timeline.item(attempt.instructions))\n  yield* request(async () => {\n    const { default: open } = await import(\"open\")\n    await open(attempt.url)\n  }).pipe(Effect.ignore)\n  yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n  const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n  yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n  yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n) {\n  while (true) {\n    const response = yield* request((signal) =>\n      client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n    )\n    if (response.data.status !== \"pending\") return response.data\n    yield* Effect.sleep(500)\n  }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n  return Effect.tryPromise({\n    try: task,\n    catch: (cause) => cause,\n  })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n  return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n\nfunction errorMessage(cause: Cause.Cause<unknown>) {\n  const error = Cause.squash(cause)\n  if (error instanceof Error) return error.message\n  if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\") {\n    return error.message\n  }\n  return String(error)\n}\n"
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+  "debugId": "98964E59AFE65F9964756E2164756E21",
+  "names": []
+}

bin/chunk-fv1p2dbf.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/core/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 { waitForCatalogReady } from \"../services/catalog\"\nimport { parseSessionTargetModel, resolveSessionTarget } from \"../session-target\"\nimport { toolInlineInfo } from \"@opencode-ai/tui/mini/tool\"\nimport { runNonInteractivePrompt } from \"./noninteractive\"\nimport { UI } from \"./ui\"\n\nexport type RunCommandInput = {\n  server: ServerConnection.Resolved\n  message: string[]\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: string\n  agent?: string\n  format: \"default\" | \"json\"\n  file: string[]\n  title?: string\n  thinking?: boolean\n  auto?: boolean\n}\n\ntype FilePart = {\n  url: string\n  filename: string\n  mime: string\n}\n\ntype Prepared = {\n  directory?: string\n  message: string\n  files: FilePart[]\n}\n\ntype ExecutionOptions = {\n  root?: string\n  directory?: string\n  useServerDirectory?: boolean\n  variant?: string\n  attached?: boolean\n  compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n  constructor(\n    message: string,\n    readonly sessionID?: string,\n  ) {\n    super(message)\n  }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n  return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n  return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n  if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n  const root = options.root ?? process.env.PWD ?? process.cwd()\n  const local = localDirectory(root)\n  const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n  const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n  if (!message?.trim()) fail(\"You must provide a message\")\n  const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n  const prepared = { directory, message, files }\n  return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const explicit = parseRunModel(input.model)\n  const target = await resolveSessionTarget({\n    client,\n    location: prepared.directory ? { directory: prepared.directory } : undefined,\n    continue: input.continue,\n    session: input.session,\n    fork: input.fork,\n    model: explicit\n      ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n      : undefined,\n    agent: input.agent,\n    prepare: async (next) => {\n      const selected =\n        next.model ??\n        (await client.model\n          .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n          .then((result) => result.data))\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      if (model) {\n        await waitForCatalogReady({\n          sdk: client,\n          directory: next.location.directory,\n          workspace: next.location.workspaceID,\n          model: { providerID: model.providerID, modelID: model.id },\n        })\n        const available = await client.model.list({\n          location: { directory: next.location.directory, workspace: next.location.workspaceID },\n        })\n        if (!available.data.some((item) => item.providerID === model.providerID && item.id === model.id))\n          throw new RunTargetError(`Model unavailable: ${model.providerID}/${model.id}`, next.session?.id)\n      }\n      return {\n        model,\n        agent: input.agent\n          ? await validateAgent(client, next.location.directory, next.location.workspaceID, input.agent)\n          : next.agent,\n      }\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 ${root}`)\n  }\n}\n\nexport function parseRunModel(value?: string) {\n  const ref = parseSessionTargetModel(value)\n  if (!ref) return\n  return {\n    model: { providerID: ref.providerID, modelID: ref.id },\n    variant: ref.variant,\n  }\n}\n\nasync function validateAgent(client: OpenCodeClient, directory: string, workspace: string | undefined, name?: string) {\n  if (!name) return\n  const agents = await client.agent\n    .list({ location: { directory, workspace } })\n    .then((result) => result.data)\n    .catch(() => undefined)\n  if (!agents) {\n    warning(\"failed to list agents. Falling back to default agent\")\n    return\n  }\n  const agent = agents.find((item) => item.id === name)\n  if (!agent) {\n    warning(`agent \"${name}\" not found. Falling back to default agent`)\n    return\n  }\n  if (agent.mode === \"subagent\") {\n    warning(`agent \"${name}\" is a subagent, not a primary agent. Falling back to default agent`)\n    return\n  }\n  return name\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 warning(message: string) {\n  UI.println(UI.Style.TEXT_WARNING_BOLD + \"!\", UI.Style.TEXT_NORMAL, message)\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  LLMToolContent,\n  LocationRef,\n  OpenCodeClient,\n  SessionMessageAssistantTool,\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 { 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  structured: Record<string, JsonValue>\n  content: LLMToolContent[]\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  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 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 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.v2.asked\" && submitted && event.data.sessionID === input.sessionID) {\n        await replyPermission(event.data)\n        continue\n      }\n      if (\n        event.type === \"form.created\" &&\n        submitted &&\n        (event.data.form.sessionID === input.sessionID ||\n          (!input.attached &&\n            event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n            sameLocation(event.location, input.location)))\n      ) {\n        await cancelForm(event.data.form)\n        continue\n      }\n      if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n      const time = toMillis(\"created\" in event ? event.created : undefined)\n\n      if (event.type === \"session.input.promoted\") {\n        if (event.data.inputID === messageID) {\n          promoted = true\n          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) 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\", { id: partID(event.id), timestamp: time })\n        continue\n      }\n      if (event.type === \"session.text.ended\") {\n        const started = starts.get(\"text\")\n        starts.delete(\"text\")\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        writeText(part, time)\n        continue\n      }\n\n      if (event.type === \"session.reasoning.started\") {\n        flushStep()\n        starts.set(\"reasoning\", { id: partID(event.id), timestamp: time })\n        continue\n      }\n      if (event.type === \"session.reasoning.ended\" && input.thinking) {\n        const started = starts.get(\"reasoning\")\n        starts.delete(\"reasoning\")\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        if (emit(\"reasoning\", time, { part })) continue\n        const text = part.text.trim()\n        if (!text) continue\n        const line = `Thinking: ${text}`\n        if (!process.stdout.isTTY) {\n          process.stdout.write(line + EOL)\n          continue\n        }\n        UI.empty()\n        UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n        UI.empty()\n        continue\n      }\n\n      if (event.type === \"session.tool.input.started\") {\n        flushStep()\n        tools.set(toolKey(event.data.assistantMessageID, event.data.callID), {\n          id: partID(event.id),\n          timestamp: time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: event.data.name,\n          input: {},\n          structured: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.input.ended\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = event.data.text\n        continue\n      }\n      if (event.type === \"session.tool.input.delta\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n        continue\n      }\n      if (event.type === \"session.tool.called\") {\n        flushStep()\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key)\n        tools.set(key, {\n          id: current?.id ?? partID(event.id),\n          timestamp: current?.timestamp ?? time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: current?.tool ?? \"tool\",\n          input: event.data.input,\n          raw: current?.raw,\n          provider: { executed: event.data.executed, state: event.data.state },\n          providerState: event.data.state,\n          structured: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.progress\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) {\n          current.structured = event.data.structured\n          current.content = event.data.content\n        }\n        continue\n      }\n      if (event.type === \"session.tool.success\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            structured: event.data.structured,\n            content: event.data.content,\n            result: event.data.result,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            output: toolOutputText(current.tool, event.data.content),\n            title: current.tool,\n            metadata: {\n              structured: event.data.structured,\n              content: event.data.content,\n              result: event.data.result,\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        if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n        continue\n      }\n      if (event.type === \"session.tool.failed\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const error = event.data.error.message\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"error\",\n            input: current.input,\n            structured: current.structured,\n            content: current.content,\n            error: event.data.error,\n            result: event.data.result,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"error\",\n            input: current.input,\n            error,\n            metadata: {\n              result: event.data.result,\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        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n        if (!emit(\"tool_use\", time, { part })) {\n          if (toolOutputText(current.tool, current.content).trim())\n            await input.renderTool({\n              ...tool,\n              state: {\n                status: \"completed\",\n                input: current.input,\n                structured: current.structured,\n                content: current.content,\n                result: event.data.result,\n              },\n            })\n          await input.renderToolError(tool)\n          UI.error(error)\n        }\n        continue\n      }\n\n      if (event.type === \"session.step.ended\") {\n        flushStep()\n        const part = {\n          id: partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"step-finish\",\n          reason: event.data.finish,\n          snapshot: event.data.snapshot,\n          cost: event.data.cost,\n          tokens: event.data.tokens,\n        }\n        emit(\"step_finish\", time, { part })\n        continue\n      }\n      if (event.type === \"session.step.failed\") {\n        if (\n          input.compatibility === \"v1\" &&\n          event.data.error.message === \"Provider stream ended without a terminal finish event\"\n        ) {\n          pendingStep = undefined\n          v1InvalidOutput = true\n          continue\n        }\n        if (interrupted || permissionRejected || formCancelled) continue\n        flushStep()\n        emittedError = true\n        process.exitCode = 1\n        if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        continue\n      }\n      if (event.type === \"session.execution.failed\") {\n        if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n        flushStep()\n        if (!emittedError && !formCancelled) {\n          emittedError = true\n          process.exitCode = 1\n          if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.interrupted\") {\n        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n        if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n        if (event.data.reason !== \"user\" && !emittedError) {\n          emittedError = true\n          process.exitCode = 1\n          const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n          if (!emit(\"error\", time, { error })) UI.error(error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.succeeded\") return\n    }\n  }\n\n  const 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    await completed\n  } finally {\n    process.off(\"SIGINT\", interrupt)\n    controller.abort()\n    await stream.return?.(undefined).catch(() => {})\n  }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n  return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n  if (!location) return []\n  return [\n    {\n      headers: {\n        \"x-opencode-directory\": encodeURIComponent(location.directory),\n        ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n      },\n    },\n  ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n  return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n  return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, callID: string) {\n  return `${messageID}\\u0000${callID}`\n}\n\nfunction fallbackTool(event: {\n  id: string\n  created: number\n  data: { assistantMessageID: string; callID: string }\n}): ToolState {\n  return {\n    id: partID(event.id),\n    timestamp: toMillis(event.created),\n    assistantMessageID: event.data.assistantMessageID,\n    tool: \"tool\",\n    input: {},\n    structured: {},\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": "8D1659AC9811E85764756E2164756E21",
+  "names": []
+}

bin/chunk-fxtcqnm1.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/process.ts"],
+  "sourcesContent": [
+    "import { Context, Duration, Effect, Fiber, Layer, Schema, Stream } from \"effect\"\nimport type { PlatformError } from \"effect/PlatformError\"\nimport { ChildProcess } from \"effect/unstable/process\"\nimport { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport { CrossSpawnSpawner } from \"./cross-spawn-spawner\"\nimport { makeGlobalNode } from \"./effect/app-node\"\n\nexport class AppProcessError extends Schema.TaggedErrorClass<AppProcessError>()(\"AppProcessError\", {\n  command: Schema.String,\n  exitCode: Schema.optional(Schema.Number),\n  stderr: Schema.optional(Schema.String),\n  cause: Schema.optional(Schema.Defect()),\n}) {\n  override get message() {\n    const detail =\n      this.stderr?.trim() || (this.cause instanceof Error ? this.cause.message : this.cause && String(this.cause))\n    const status = this.exitCode === undefined ? \"\" : ` (exit ${this.exitCode})`\n    return `Command failed${status}: ${this.command}${detail ? `: ${detail}` : \"\"}`\n  }\n}\n\nexport interface RunOptions {\n  readonly combineOutput?: boolean\n  readonly maxOutputBytes?: number\n  readonly maxErrorBytes?: number\n  readonly signal?: AbortSignal\n  readonly timeout?: Duration.Input\n  readonly stdin?: string | Uint8Array | Stream.Stream<Uint8Array, PlatformError>\n}\n\nexport interface RunStreamOptions {\n  readonly signal?: AbortSignal\n  readonly includeStderr?: boolean\n  readonly okExitCodes?: ReadonlyArray<number>\n  readonly maxErrorBytes?: number\n}\n\nexport interface RunResult {\n  readonly command: string\n  readonly exitCode: number\n  readonly output?: Buffer\n  readonly stdout: Buffer\n  readonly stderr: Buffer\n  readonly outputTruncated?: boolean\n  readonly stdoutTruncated: boolean\n  readonly stderrTruncated: boolean\n}\n\nexport type Interface = ChildProcessSpawner[\"Service\"] & {\n  readonly run: (command: ChildProcess.Command, options?: RunOptions) => Effect.Effect<RunResult, AppProcessError>\n  readonly runStream: (\n    command: ChildProcess.Command,\n    options?: RunStreamOptions,\n  ) => Stream.Stream<string, AppProcessError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/AppProcess\") {}\n\nexport const requireSuccess = (result: RunResult): Effect.Effect<RunResult, AppProcessError> =>\n  result.exitCode === 0\n    ? Effect.succeed(result)\n    : Effect.fail(\n        new AppProcessError({\n          command: result.command,\n          exitCode: result.exitCode,\n          stderr: result.stderr.toString(\"utf8\"),\n        }),\n      )\n\nexport const requireExitIn =\n  (codes: ReadonlyArray<number>) =>\n  (result: RunResult): Effect.Effect<RunResult, AppProcessError> =>\n    codes.includes(result.exitCode)\n      ? Effect.succeed(result)\n      : Effect.fail(\n          new AppProcessError({\n            command: result.command,\n            exitCode: result.exitCode,\n            stderr: result.stderr.toString(\"utf8\"),\n          }),\n        )\n\nconst describeCommand = (command: ChildProcess.Command): string => {\n  if (command._tag === \"StandardCommand\") {\n    return command.args.length ? `${command.command} ${command.args.join(\" \")}` : command.command\n  }\n  return `${describeCommand(command.left)} | ${describeCommand(command.right)}`\n}\n\nconst wrapError = (description: string, cause: unknown): AppProcessError =>\n  cause instanceof AppProcessError ? cause : new AppProcessError({ command: description, cause })\n\nexport const abortError = (signal: AbortSignal): Error => {\n  const reason = signal.reason\n  if (reason instanceof Error) return reason\n  const err = new Error(\"Aborted\")\n  err.name = \"AbortError\"\n  return err\n}\n\nexport const waitForAbort = (signal: AbortSignal) =>\n  Effect.callback<never, Error>((resume) => {\n    if (signal.aborted) {\n      resume(Effect.fail(abortError(signal)))\n      return\n    }\n    const onabort = () => resume(Effect.fail(abortError(signal)))\n    signal.addEventListener(\"abort\", onabort, { once: true })\n    return Effect.sync(() => signal.removeEventListener(\"abort\", onabort))\n  })\n\nconst normalizeStdin = (\n  input: string | Uint8Array | Stream.Stream<Uint8Array, PlatformError>,\n): Stream.Stream<Uint8Array, PlatformError> =>\n  typeof input === \"string\"\n    ? Stream.make(new TextEncoder().encode(input))\n    : input instanceof Uint8Array\n      ? Stream.make(input)\n      : input\n\nexport const collectStream = (stream: Stream.Stream<Uint8Array, PlatformError>, maxOutputBytes: number | undefined) =>\n  Stream.runFold(\n    stream,\n    () => ({ chunks: [] as Uint8Array[], bytes: 0, truncated: false }),\n    (acc, chunk) => {\n      if (maxOutputBytes === undefined) {\n        acc.chunks.push(chunk)\n        acc.bytes += chunk.length\n        return acc\n      }\n      const remaining = maxOutputBytes - acc.bytes\n      if (remaining > 0) acc.chunks.push(remaining >= chunk.length ? chunk : chunk.slice(0, remaining))\n      acc.bytes += chunk.length\n      acc.truncated = acc.truncated || acc.bytes > maxOutputBytes\n      return acc\n    },\n  ).pipe(Effect.map((x) => ({ buffer: Buffer.concat(x.chunks), truncated: x.truncated })))\n\nconst layer = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const spawner = yield* ChildProcessSpawner\n\n    const runCommand = (command: ChildProcess.Command, options?: RunOptions) => {\n      const description = describeCommand(command)\n      const collect = Effect.scoped(\n        Effect.gen(function* () {\n          const handle = yield* spawner.spawn(command)\n          if (options?.combineOutput) {\n            const [output, exitCode] = yield* Effect.all(\n              [collectStream(handle.all, options.maxOutputBytes), handle.exitCode],\n              { concurrency: \"unbounded\" },\n            )\n            return {\n              command: description,\n              exitCode,\n              output: output.buffer,\n              stdout: Buffer.alloc(0),\n              stderr: Buffer.alloc(0),\n              outputTruncated: output.truncated,\n              stdoutTruncated: false,\n              stderrTruncated: false,\n            } satisfies RunResult\n          }\n          const [stdout, stderr, exitCode] = yield* Effect.all(\n            [\n              collectStream(handle.stdout, options?.maxOutputBytes),\n              collectStream(handle.stderr, options?.maxErrorBytes),\n              handle.exitCode,\n            ],\n            { concurrency: \"unbounded\" },\n          )\n          return {\n            command: description,\n            exitCode,\n            stdout: stdout.buffer,\n            stderr: stderr.buffer,\n            stdoutTruncated: stdout.truncated,\n            stderrTruncated: stderr.truncated,\n          } satisfies RunResult\n        }),\n      )\n      const timed = options?.timeout\n        ? Effect.timeoutOrElse(collect, {\n            duration: options.timeout,\n            orElse: () => Effect.fail(new AppProcessError({ command: description, cause: new Error(\"Timed out\") })),\n          })\n        : collect\n      const aborted = options?.signal\n        ? timed.pipe(\n            Effect.raceFirst(\n              waitForAbort(options.signal).pipe(Effect.mapError((cause) => wrapError(description, cause))),\n            ),\n          )\n        : timed\n      return aborted.pipe(Effect.catch((cause) => Effect.fail(wrapError(description, cause))))\n    }\n\n    const run = Effect.fn(\"AppProcess.run\")(function* (command: ChildProcess.Command, options?: RunOptions) {\n      if (options?.stdin === undefined) return yield* runCommand(command, options)\n      if (command._tag !== \"StandardCommand\") {\n        return yield* new AppProcessError({\n          command: describeCommand(command),\n          cause: new Error(\"stdin option only supports StandardCommand; received PipedCommand\"),\n        })\n      }\n      const next = ChildProcess.make(command.command, command.args, {\n        ...command.options,\n        stdin: normalizeStdin(options.stdin),\n      })\n      return yield* runCommand(next, options)\n    })\n\n    const runStream = (\n      command: ChildProcess.Command,\n      options?: RunStreamOptions,\n    ): Stream.Stream<string, AppProcessError> => {\n      const description = describeCommand(command)\n      const okExitCodes = options?.okExitCodes\n      const built: Stream.Stream<string, AppProcessError | PlatformError> = Stream.unwrap(\n        Effect.gen(function* () {\n          const handle = yield* spawner.spawn(command)\n          const stderrFiber = yield* Effect.forkScoped(\n            collectStream(handle.stderr, options?.maxErrorBytes).pipe(Effect.map((x) => x.buffer.toString(\"utf8\"))),\n          )\n          const source = options?.includeStderr === true ? handle.all : handle.stdout\n          const lines = source.pipe(\n            Stream.decodeText,\n            Stream.splitLines,\n            Stream.filter((line) => line.length > 0),\n          )\n          const tail = Stream.unwrap(\n            Effect.gen(function* () {\n              const code = yield* handle.exitCode\n              if (okExitCodes && okExitCodes.length > 0 && !okExitCodes.includes(code)) {\n                const stderr = yield* Fiber.join(stderrFiber)\n                return Stream.fail(new AppProcessError({ command: description, exitCode: code, stderr }))\n              }\n              return Stream.empty\n            }),\n          )\n          return Stream.concat(lines, tail) as Stream.Stream<string, AppProcessError | PlatformError>\n        }),\n      )\n      const mapped = built.pipe(\n        Stream.catch((cause): Stream.Stream<string, AppProcessError> => Stream.fail(wrapError(description, cause))),\n      )\n      if (!options?.signal) return mapped\n      const signal = options.signal\n      return mapped.pipe(\n        Stream.interruptWhen(waitForAbort(signal).pipe(Effect.mapError((cause) => wrapError(description, cause)))),\n      )\n    }\n\n    return Service.of({ ...spawner, run, runStream })\n  }),\n)\n\nexport const node = makeGlobalNode({ service: Service, layer: layer, deps: [CrossSpawnSpawner.node] })\n\nexport * as AppProcess from \"./process\"\n"
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+  "debugId": "8FBFD3CAC045740B64756E2164756E21",
+  "names": []
+}

bin/chunk-g8z8ky2t.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mcp/list.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type McpServer } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.list,\n  Effect.fn(\"cli.mcp.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n    const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n    if (servers.length === 0) {\n      process.stdout.write(\"No MCP servers configured\" + EOL)\n      return\n    }\n    const width = Math.max(...servers.map((server) => server.name.length))\n    const lines = servers.map(\n      (server) => `${icon(server.status)} ${server.name.padEnd(width)}  ${describe(server.status)}`,\n    )\n    process.stdout.write(lines.join(EOL) + EOL)\n  }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"connected\":\n      return \"✓\"\n    case \"needs_auth\":\n      return \"⚠\"\n    case \"failed\":\n    case \"needs_client_registration\":\n      return \"✗\"\n    default:\n      return \"○\"\n  }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"needs_auth\":\n      return \"needs authentication\"\n    case \"needs_client_registration\":\n      return `needs client registration: ${status.error}`\n    case \"failed\":\n      return `failed: ${status.error}`\n    default:\n      return status.status\n  }\n}\n"
+  ],
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+  "debugId": "5E5945346AC7BBE464756E2164756E21",
+  "names": []
+}

bin/chunk-gxp0ep7d.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 FinishReason, type ProviderMetadata, type Usage } from \"../../schema\"\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 textDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {\n  const stepped = stepStart(state, events)\n  if (stepped.text.has(id)) {\n    events.push(LLMEvent.textDelta({ id, text }))\n    return stepped\n  }\n  events.push(LLMEvent.textStart({ id }), LLMEvent.textDelta({ id, text }))\n  return { ...stepped, text: new Set([...stepped.text, id]) }\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: FinishReason\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\"\n",
+    "import { isRecord } from \"../../utils/record\"\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): Record<string, unknown> | undefined => {\n  if (!isRecord(schema)) return undefined\n  if (emptyObjectSchema(schema)) return undefined\n  return Object.fromEntries(\n    [\n      [\"description\", schema.description],\n      [\"required\", schema.required],\n      [\"format\", schema.format],\n      [\"type\", Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\")[0] : schema.type],\n      [\"nullable\", Array.isArray(schema.type) && schema.type.includes(\"null\") ? true : undefined],\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)]))\n          : undefined,\n      ],\n      [\n        \"items\",\n        Array.isArray(schema.items)\n          ? schema.items.map(projectNode)\n          : schema.items === undefined\n            ? undefined\n            : projectNode(schema.items),\n      ],\n      [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map(projectNode) : undefined],\n      [\"anyOf\", Array.isArray(schema.anyOf) ? schema.anyOf.map(projectNode) : undefined],\n      [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map(projectNode) : undefined],\n      [\"minLength\", schema.minLength],\n    ].filter((entry) => entry[1] !== undefined),\n  )\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema\"\n",
+    "import type { JsonSchema, ModelToolSchemaCompatibility } from \"../../schema\"\nimport { isRecord } from \"../../utils/record\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema\"\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 gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n  schema: JsonSchema,\n  compatibility: ModelToolSchemaCompatibility | 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} as const\n"
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+  "debugId": "03A01775089ED6EF64756E2164756E21",
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+}

bin/chunk-h8sk6ggc.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openai-options.ts"],
+  "sourcesContent": [
+    "import type { ProviderOptions, ReasoningEffort, TextVerbosity } from \"../schema\"\nimport { mergeProviderOptions } from \"../schema\"\nimport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options\"\n\nexport interface OpenAIOptionsInput {\n  readonly [key: string]: unknown\n  readonly store?: boolean\n  readonly promptCacheKey?: string\n  readonly reasoningEffort?: ReasoningEffort\n  readonly reasoningSummary?: \"auto\"\n  // OpenAI Responses `include` wire field. Mirrors the official SDK's\n  // `ResponseIncludable[]` union exactly so AI SDK callers and direct\n  // native-SDK callers share one shape and no translation is required.\n  readonly include?: ReadonlyArray<OpenAIResponseIncludable>\n  readonly textVerbosity?: TextVerbosity\n  readonly serviceTier?: OpenAIServiceTier\n}\n\nexport type OpenAIProviderOptionsInput = ProviderOptions & {\n  readonly openai?: OpenAIOptionsInput\n}\n\nconst definedEntries = (input: Record<string, unknown>) =>\n  Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n  const openai = Object.fromEntries(\n    definedEntries({\n      store: options?.store,\n      promptCacheKey: options?.promptCacheKey,\n      reasoningEffort: options?.reasoningEffort,\n      reasoningSummary: options?.reasoningSummary,\n      include: options?.include,\n      textVerbosity: options?.textVerbosity,\n      serviceTier: options?.serviceTier,\n    }),\n  )\n  if (Object.keys(openai).length === 0) return undefined\n  return { openai }\n}\n\nexport const gpt5DefaultOptions = (\n  modelID: string,\n  options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n  const id = modelID.toLowerCase()\n  if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n  return openAIProviderOptions({\n    reasoningEffort: \"medium\",\n    reasoningSummary: \"auto\",\n    // GPT-5 reasoning models are configured stateless (`store: false`) by\n    // `openAIDefaultOptions` below, so the only way a follow-up turn can\n    // carry reasoning state is via the encrypted reasoning include. Without\n    // this, callers using the default model facade get reasoning summaries\n    // they cannot replay statelessly.\n    include: [\"reasoning.encrypted_content\"],\n    textVerbosity:\n      options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n        ? \"low\"\n        : undefined,\n  })\n}\n\nexport const openAIDefaultOptions = (\n  modelID: string,\n  options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n  mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n  modelID: string,\n  options: Options,\n  defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n  return {\n    ...options,\n    providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n  }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options\"\n"
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bin/chunk-hxtv1vn9.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/openai-compatible-chat.ts"],
+  "sourcesContent": [
+    "import { Route, type RouteRoutedModelInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport * as OpenAIChat from \"./openai-chat\"\n\nconst ADAPTER = \"openai-compatible-chat\"\n\nexport type OpenAICompatibleChatModelInput = RouteRoutedModelInput\n\n/**\n * Route for non-OpenAI providers that expose an OpenAI Chat-compatible\n * `/chat/completions` endpoint. Reuses `OpenAIChat.protocol` end-to-end and\n * overrides only the route id so providers can be resolved per-family without\n * colliding with native OpenAI. Provider helpers configure the route endpoint\n * before model selection.\n */\nexport const route = Route.make({\n  id: ADAPTER,\n  providerMetadataKey: \"openai\",\n  protocol: OpenAIChat.protocol,\n  endpoint: Endpoint.path(\"/chat/completions\"),\n  framing: Framing.sse,\n})\n\nexport * as OpenAICompatibleChat from \"./openai-compatible-chat\"\n"
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bin/chunk-k4bbsnkv.js.map

+{
+  "version": 3,
+  "sources": ["src/services/service-config.ts", "src/util/process.ts"],
+  "sourcesContent": [
+    "import { Global } from \"@opencode-ai/core/global\"\nimport { InstallationChannel, InstallationVersion } from \"@opencode-ai/core/installation/version\"\nimport { Hash } from \"@opencode-ai/core/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n  hostname: Schema.optional(Schema.String),\n  port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n  password: Schema.optional(Schema.String),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = InstallationChannel) {\n  if (channel === \"latest\") return \"service.json\"\n  if (channel === \"local\") return \"service-local.json\"\n  return `service-${Hash.fast(channel)}.json`\n}\n\nexport function defaultPort(channel = InstallationChannel) {\n  if (channel === \"latest\") return 0xc0de\n  if (channel === \"local\") return 0xc0df\n  return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function versionBelongsToChannel(\n  version: string | undefined,\n  channel = InstallationChannel,\n  installedVersion = InstallationVersion,\n) {\n  if (version === undefined) return false\n  if (version === installedVersion) return true\n  const prefix = `0.0.0-${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 = InstallationChannel,\n  installedVersion = InstallationVersion,\n) {\n  if (channel === \"latest\" || channel === \"local\") return\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\nfunction configKey(key: string): Key {\n  if (key === \"hostname\" || key === \"port\" || key === \"password\") return key\n  throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n  const fs = yield* FileSystem.FileSystem\n  const global = yield* Global.Service\n  const name = filename()\n  const file = path.join(global.state, name)\n  return {\n    fs,\n    file,\n    legacyFile: path.join(global.state, \"service.json\"),\n    configFile: path.join(global.config, name),\n  }\n})\n\nexport const options = Effect.fnUntraced(function* () {\n  const { file, legacyFile } = yield* paths\n  yield* migrateRegistration(legacyFile, file)\n  return {\n    file,\n    version: InstallationVersion,\n    command: [...selfCommand(), \"serve\", \"--service\"],\n  }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n  const { fs, configFile } = yield* paths\n  return yield* fs.readFileString(configFile).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.catch(() => Effect.succeed({} as Info)),\n  )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n  const { fs, configFile } = yield* paths\n  const temp = configFile + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n  yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n  yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n  const existing = yield* read()\n  if (value === undefined && existing.password) return existing.password\n  const next = value ?? randomBytes(32).toString(\"base64url\")\n\n  // Keep one private credential across server restarts so discovered clients\n  // can reconnect without exposing a password flag or environment variable.\n  yield* write({ ...existing, password: next })\n  return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string) {\n  if (key === undefined) {\n    const { password: _password, ...safe } = yield* read()\n    return JSON.stringify(safe, null, 2)\n  }\n  switch (configKey(key)) {\n    case \"hostname\": {\n      return (yield* read()).hostname ?? \"\"\n    }\n    case \"port\": {\n      const port = (yield* read()).port\n      return port === undefined ? \"\" : String(port)\n    }\n    case \"password\": {\n      return yield* password()\n    }\n  }\n  throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), hostname: value })\n      return\n    }\n    case \"port\": {\n      const port = Number(value)\n      if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), port })\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      yield* password(value)\n      return\n    }\n  }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      const { hostname: _hostname, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"port\": {\n      yield* Service.stop(yield* options())\n      const { port: _port, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      const { password: _password, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n  }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n",
+    "import path from \"node:path\"\n\nexport function selfCommand() {\n  const runtime = path.basename(process.execPath, path.extname(process.execPath)).toLowerCase()\n  if (runtime !== \"bun\" && runtime !== \"node\" && runtime !== \"nodejs\") return [process.execPath]\n  if (!process.argv[1]) throw new Error(\"Failed to resolve CLI entrypoint\")\n  if (runtime === \"node\" || runtime === \"nodejs\") return [process.execPath, ...nodeFlags(), process.argv[1]]\n  return [process.execPath, process.argv[1]]\n}\n\nfunction nodeFlags() {\n  return process.execArgv.flatMap((arg, index, args) => {\n    if (index > 0 && args[index - 1] === \"--conditions\") return []\n    if (arg === \"--conditions\") return args[index + 1] ? [arg, args[index + 1]] : []\n    if (arg.startsWith(\"--conditions=\")) return [arg]\n    if (\n      arg === \"--experimental-ffi\" ||\n      arg === \"--use-system-ca\" ||\n      arg === \"--enable-source-maps\" ||\n      arg === \"--no-addons\"\n    )\n      return [arg]\n    if (arg === \"--no-warnings\" || arg.startsWith(\"--disable-warning=\")) return [arg]\n    return []\n  })\n}\n"
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+}

bin/chunk-k72swy6q.js.map

+{
+  "version": 3,
+  "sources": ["../core/src/plugin/sdk.ts", "../plugin/src/v2/effect/tool.ts", "../plugin/src/v2/effect/plugin.ts", "../schema/src/session.ts", "../schema/src/command.ts", "../schema/src/reference.ts"],
+  "sourcesContent": [
+    "export * as SdkPlugins from \"./sdk\"\n\nimport type { Plugin } from \"@opencode-ai/plugin/v2/effect/plugin\"\nimport { Context, Effect, Layer } from \"effect\"\nimport { makeGlobalNode } from \"../effect/app-node\"\nimport { EventV2 } from \"../event\"\nimport type { PluginV2 } from \"../plugin\"\n\nexport const Updated = EventV2.ephemeral({ type: \"sdk.plugin.updated\", schema: {} })\n\n/**\n * Holds the plugins an embedder (the `@opencode-ai/sdk-next` host) contributes,\n * so `PluginSupervisor` can add them on every Location boot through the ordinary\n * generation path that `PluginSupervisor` uses for plugins discovered from\n * config. Registration publishes an unlocated update so every booted Location\n * reloads its plugin generation from the shared store.\n *\n * Each host-global layer owns one private store. Location graphs reuse that\n * layer through Effect's memoization, so separate hosts remain isolated while\n * every Location in one host sees the same registrations.\n */\nexport interface Interface {\n  readonly register: (plugin: Plugin) => Effect.Effect<void>\n  readonly all: () => readonly PluginV2.Versioned[]\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/SdkPlugins\") {}\n\nexport const layer = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const events = yield* EventV2.Service\n    const plugins = new Map<string, PluginV2.Versioned>()\n    let revision = 0\n    return Service.of({\n      register: (plugin) =>\n        Effect.sync(() => {\n          plugins.set(plugin.id, { ...plugin, version: String(++revision) })\n        }).pipe(Effect.andThen(events.publish(Updated, {})), Effect.asVoid),\n      all: () => [...plugins.values()],\n    })\n  }),\n)\n\nexport const node = makeGlobalNode({ service: Service, layer, deps: [EventV2.node] })\n",
+    "export * as Tool from \"./tool.js\"\n\nimport { Agent } from \"@opencode-ai/schema/agent\"\nimport type { LLM } from \"@opencode-ai/schema/llm\"\nimport { Session } from \"@opencode-ai/schema/session\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport type { StandardJSONSchemaV1, StandardSchemaV1 } from \"@standard-schema/spec\"\nimport { Effect, JsonSchema, Schema } from \"effect\"\nimport type { Hooks, Transform } from \"./registration.js\"\n\nexport interface Context {\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: string\n  readonly progress: (update: Progress) => Effect.Effect<void>\n}\n\nexport interface Progress {\n  readonly structured: Readonly<Record<string, unknown>>\n  readonly content?: ReadonlyArray<Content>\n}\n\nexport type StandardSchemaType<Input = unknown, Output = Input> = StandardSchemaV1<Input, Output> &\n  StandardJSONSchemaV1<Input, Output>\nexport type SchemaType<A> = Schema.Codec<A, any> | StandardSchemaType<any, A>\ntype IsAny<A> = 0 extends 1 & A ? true : false\nexport type InputValue<S> =\n  IsAny<S> extends true\n    ? any\n    : S extends Schema.Codec<infer A, any>\n      ? A\n      : S extends StandardSchemaV1<any, infer A>\n        ? A\n        : never\nexport type OutputValue<S> =\n  IsAny<S> extends true\n    ? any\n    : S extends Schema.Codec<infer A, any>\n      ? A\n      : S extends StandardSchemaV1<infer A, any>\n        ? A\n        : never\nexport type EncodedValue<S> =\n  IsAny<S> extends true\n    ? any\n    : S extends Schema.Codec<any, infer A>\n      ? A\n      : S extends StandardSchemaV1<any, infer A>\n        ? A\n        : never\n\ntype ToolDefinition = {\n  readonly name: string\n  readonly description: string\n  readonly inputSchema: JsonSchema.JsonSchema\n  readonly outputSchema?: JsonSchema.JsonSchema\n}\n\ntype ToolCall = {\n  readonly input: unknown\n  readonly [key: string]: unknown\n}\n\ntype ToolResultValue =\n  | { readonly type: \"json\"; readonly value: unknown }\n  | { readonly type: \"text\"; readonly value: unknown }\n  | { readonly type: \"error\"; readonly value: unknown }\n  | { readonly type: \"content\"; readonly value: ReadonlyArray<LLM.ToolContent> }\n\ntype ToolOutput = {\n  readonly structured: unknown\n  readonly content: ReadonlyArray<LLM.ToolContent>\n}\n\nexport class Failure extends Schema.TaggedErrorClass<Failure>()(\"LLM.ToolFailure\", {\n  message: Schema.String,\n  error: Schema.optional(Schema.Defect()),\n  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport class RegistrationError extends Schema.TaggedErrorClass<RegistrationError>()(\"Tool.RegistrationError\", {\n  name: Schema.String,\n  message: Schema.String,\n}) {}\n\nexport type Content =\n  | { readonly type: \"text\"; readonly text: string }\n  | { readonly type: \"file\"; readonly data: string; readonly mime: string; readonly name?: string }\n\nexport type Definition<\n  Input extends SchemaType<any>,\n  Structured extends SchemaType<any>,\n  Output extends SchemaType<any> = any,\n> = {\n  readonly description: string\n  readonly input: Input\n  readonly output: Output\n  readonly structured?: Structured\n  readonly permission?: string\n  readonly toStructuredOutput?: (input: {\n    readonly input: InputValue<Input>\n    readonly output: EncodedValue<Output>\n  }) => OutputValue<Structured>\n  readonly execute: (input: InputValue<Input>, context: Context) => Effect.Effect<OutputValue<Output>, Failure>\n  readonly toModelOutput?: (input: {\n    readonly input: InputValue<Input>\n    readonly output: EncodedValue<Output>\n  }) => ReadonlyArray<Content>\n}\n\nexport type DynamicOutput = {\n  readonly structured: unknown\n  readonly content: ReadonlyArray<Content>\n}\n\n/**\n * Config for a tool whose input shape is a raw JSON Schema not known at compile\n * time (MCP servers, plugin manifests). Input is passed through as `unknown`;\n * `execute` returns the already-projected structured value and model content.\n */\nexport type DynamicDefinition = {\n  readonly description: string\n  readonly jsonSchema: JsonSchema.JsonSchema\n  readonly outputSchema?: JsonSchema.JsonSchema\n  readonly permission?: string\n  readonly execute: (input: unknown, context: Context) => Effect.Effect<DynamicOutput, Failure>\n}\n\nexport type AnyTool = Definition<any, any> | DynamicDefinition\n\nexport function make<\n  Input extends SchemaType<any>,\n  Output extends SchemaType<any>,\n  Structured extends SchemaType<any> = Output,\n>(config: Definition<Input, Structured, Output>): Definition<Input, Structured, Output>\nexport function make(config: DynamicDefinition): DynamicDefinition\nexport function make(config: AnyTool): AnyTool\nexport function make(config: AnyTool): AnyTool {\n  return config\n}\n\nfunction toModelContent(part: Content) {\n  if (part.type === \"text\") return { type: \"text\" as const, text: part.text }\n  return { type: \"file\" as const, uri: `data:${part.mime};base64,${part.data}`, mime: part.mime, name: part.name }\n}\n\nexport const validateName = (name: string) =>\n  /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(name)\n    ? Effect.void\n    : Effect.fail(new RegistrationError({ name, message: `Invalid tool name: ${name}` }))\n\nexport const registrationEntries = (tools: Readonly<Record<string, AnyTool>>, namespace?: string) =>\n  Object.entries(tools).map(([name, tool]) => {\n    const normalized = name.replace(/[^a-zA-Z0-9_-]/g, \"_\")\n    return {\n      key: namespace === undefined ? normalized : `${namespace.replaceAll(\".\", \"_\")}_${normalized}`,\n      name: normalized,\n      namespace,\n      tool,\n    }\n  })\n\nexport const validateNamespace = (namespace: string) =>\n  namespace.split(\".\").every((segment) => /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(segment))\n    ? Effect.void\n    : Effect.fail(\n        new RegistrationError({ name: namespace, message: `Invalid tool namespace: ${JSON.stringify(namespace)}` }),\n      )\n\nexport const withPermission = <T extends AnyTool>(\n  tool: T,\n  permission: string,\n): Omit<T, \"permission\"> & {\n  readonly permission: string\n} => ({ ...tool, permission })\n\nexport const permission = (tool: AnyTool, name: string) => tool.permission ?? name\n\nexport const definition = (name: string, tool: AnyTool): ToolDefinition =>\n  \"jsonSchema\" in tool\n    ? {\n        name,\n        description: tool.description,\n        inputSchema: tool.jsonSchema,\n        outputSchema: tool.outputSchema,\n      }\n    : {\n        name,\n        description: tool.description,\n        inputSchema: inputJsonSchema(tool.input),\n        outputSchema: outputJsonSchema(tool.structured ?? tool.output),\n      }\n\nexport const settle = (tool: AnyTool, call: ToolCall, context: Context): Effect.Effect<ToolOutput, Failure> =>\n  Effect.gen(function* () {\n    if (\"jsonSchema\" in tool) {\n      const output = yield* tool.execute(call.input, context)\n      return { structured: output.structured, content: output.content.map(toModelContent) }\n    }\n\n    const input = yield* decodeInput(tool.input, call.input)\n    const value = yield* tool.execute(input, context)\n    const output = yield* encodeOutput(tool.output, value)\n    const structured =\n      tool.structured && tool.toStructuredOutput\n        ? yield* encodeOutput(tool.structured, tool.toStructuredOutput({ input, output }))\n        : output\n    return {\n      structured,\n      content:\n        tool.toModelOutput?.({ input, output }).map(toModelContent) ??\n        (typeof output === \"string\" ? [{ type: \"text\" as const, text: output }] : []),\n    }\n  })\n\nfunction decodeInput(schema: SchemaType<any>, value: unknown): Effect.Effect<any, Failure> {\n  if (Schema.isSchema(schema))\n    return Schema.decodeUnknownEffect(schema)(value).pipe(\n      Effect.mapError((error) => new Failure({ message: `Invalid tool input: ${error.message}` })),\n    )\n  return validateStandard(schema, value, \"Invalid tool input\")\n}\n\nfunction encodeOutput(schema: SchemaType<any>, value: unknown): Effect.Effect<any, Failure> {\n  if (Schema.isSchema(schema))\n    return Schema.encodeEffect(schema)(value).pipe(\n      Effect.mapError(\n        (error) => new Failure({ message: `Tool returned an invalid value for its output schema: ${error.message}` }),\n      ),\n    )\n  return validateStandard(schema, value, \"Tool returned an invalid value for its output schema\")\n}\n\nfunction validateStandard(schema: StandardSchemaType, value: unknown, prefix: string): Effect.Effect<unknown, Failure> {\n  return Effect.gen(function* () {\n    const pending = yield* Effect.try({\n      try: () => schema[\"~standard\"].validate(value),\n      catch: (error) => standardFailure(prefix, error),\n    })\n    const result =\n      pending instanceof Promise\n        ? yield* Effect.tryPromise({ try: () => pending, catch: (error) => standardFailure(prefix, error) })\n        : pending\n    if (result.issues)\n      return yield* Effect.fail(\n        new Failure({ message: `${prefix}: ${result.issues.map((issue) => issue.message).join(\", \")}` }),\n      )\n    return result.value\n  })\n}\n\nfunction standardFailure(prefix: string, error: unknown) {\n  return new Failure({ message: `${prefix}: ${error instanceof Error ? error.message : String(error)}` })\n}\n\nfunction inputJsonSchema(schema: SchemaType<any>): JsonSchema.JsonSchema {\n  if (!Schema.isSchema(schema))\n    return schema[\"~standard\"].jsonSchema.input({ target: \"draft-2020-12\" }) as JsonSchema.JsonSchema\n  return toJsonSchema(schema)\n}\n\nfunction outputJsonSchema(schema: SchemaType<any>): JsonSchema.JsonSchema {\n  if (!Schema.isSchema(schema))\n    return schema[\"~standard\"].jsonSchema.output({ target: \"draft-2020-12\" }) as JsonSchema.JsonSchema\n  return toJsonSchema(schema)\n}\n\nfunction toJsonSchema(schema: Schema.Top): JsonSchema.JsonSchema {\n  const document = Schema.toJsonSchemaDocument(schema)\n  if (Object.keys(document.definitions).length === 0) return document.schema\n  return { ...document.schema, $defs: document.definitions }\n}\n\nexport interface ToolExecuteBeforeEvent {\n  readonly tool: string\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: string\n  input: unknown\n}\n\nexport interface ToolExecuteAfterEvent {\n  readonly tool: string\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: string\n  readonly input: unknown\n  result: ToolResultValue\n  output?: ToolOutput\n  outputPaths?: ReadonlyArray<string>\n}\n\nexport interface RegisterOptions {\n  readonly namespace?: string\n  /** Defaults to true. False exposes the tool directly to the provider. */\n  readonly codemode?: boolean\n}\n\nexport interface ToolDraft {\n  add(name: string, tool: AnyTool, options?: RegisterOptions): void\n}\n\nexport interface ToolHooks {\n  readonly \"execute.before\": ToolExecuteBeforeEvent\n  readonly \"execute.after\": ToolExecuteAfterEvent\n}\n\nexport interface ToolDomain {\n  readonly transform: Transform<ToolDraft>\n  readonly hook: Hooks<ToolHooks>\n}\n",
+    "import type { PluginApi } from \"@opencode-ai/client/effect/api\"\nimport type { Effect, Scope } from \"effect\"\nimport type { PluginOptions } from \"../options.js\"\nimport type { AgentDomain } from \"./agent.js\"\nimport type { AISDKDomain } from \"./aisdk.js\"\nimport type { CatalogDomain } from \"./catalog.js\"\nimport type { CommandDomain } from \"./command.js\"\nimport type { EventDomain } from \"./event.js\"\nimport type { IntegrationDomain } from \"./integration.js\"\nimport type { ReferenceDomain } from \"./reference.js\"\nimport type { SessionDomain } from \"./session.js\"\nimport type { SkillDomain } from \"./skill.js\"\nimport type { ToolDomain } from \"./tool.js\"\n\nexport interface Context {\n  readonly options: PluginOptions\n  readonly agent: AgentDomain\n  readonly aisdk: AISDKDomain\n  readonly catalog: CatalogDomain\n  readonly command: CommandDomain\n  readonly event: EventDomain\n  readonly integration: IntegrationDomain\n  readonly plugin: PluginApi<unknown>\n  readonly reference: ReferenceDomain\n  readonly session: SessionDomain\n  readonly skill: SkillDomain\n  readonly tool: ToolDomain\n}\n\nexport interface Plugin<R = Scope.Scope> {\n  readonly id: string\n  readonly effect: (context: Context) => Effect.Effect<void, never, R>\n}\n\nexport function define<R = Scope.Scope>(plugin: Plugin<R>) {\n  return plugin\n}\n",
+    "export * as Session from \"./session.js\"\n\nimport { Schema } from \"effect\"\nimport { Agent } from \"./agent.js\"\nimport { Location } from \"./location.js\"\nimport { Model } from \"./model.js\"\nimport { Project } from \"./project.js\"\nimport { DateTimeUtcFromMillis, optional, RelativePath } from \"./schema.js\"\nimport { SessionEvent } from \"./session-event.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { SessionMessage } from \"./session-message.js\"\nimport { Money } from \"./money.js\"\nimport { TokenUsage } from \"./token-usage.js\"\nimport { Revert } from \"./session-revert.js\"\n\nexport const ID = SessionID\nexport type ID = SessionID\n\nexport const Event = SessionEvent\n\nexport { Revert }\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  id: ID,\n  parentID: ID.pipe(optional),\n  fork: Schema.Struct({\n    sessionID: ID,\n    /** Messages before this exclusive boundary are copied into the fork. */\n    messageID: SessionMessage.ID.pipe(optional),\n  }).pipe(optional),\n  projectID: Project.ID,\n  agent: Agent.ID.pipe(optional),\n  model: Model.Ref.pipe(optional),\n  cost: Money.USD,\n  tokens: TokenUsage.Info,\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    updated: DateTimeUtcFromMillis,\n    archived: DateTimeUtcFromMillis.pipe(optional),\n  }),\n  title: Schema.String,\n  location: Location.Ref,\n  subpath: RelativePath.pipe(optional),\n  revert: Revert.pipe(optional),\n}).annotate({ identifier: \"Session.Info\" })\n\nexport const ListAnchor = Schema.Struct({\n  id: ID,\n  time: Schema.Finite,\n  direction: Schema.Literals([\"previous\", \"next\"]),\n}).annotate({ identifier: \"Session.ListAnchor\" })\nexport interface ListAnchor extends Schema.Schema.Type<typeof ListAnchor> {}\n",
+    "export * as Command from \"./command.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Agent } from \"./agent.js\"\n\nconst Updated = ephemeral({ type: \"command.updated\", schema: {} })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  name: Schema.String,\n  template: Schema.String,\n  description: Schema.String.pipe(optional),\n  agent: Agent.ID.pipe(optional),\n  model: Model.Ref.pipe(optional),\n  subtask: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Command.Info\" })\n\nexport const Event = {\n  Updated,\n  Definitions: inventory(Updated),\n}\n",
+    "export * as Reference from \"./reference.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { AbsolutePath } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"reference.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface LocalSource extends Schema.Schema.Type<typeof LocalSource> {}\nexport const LocalSource = Schema.Struct({\n  type: Schema.Literal(\"local\"),\n  path: AbsolutePath,\n  description: Schema.String.pipe(optional),\n  hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.LocalSource\" })\n\nexport interface GitSource extends Schema.Schema.Type<typeof GitSource> {}\nexport const GitSource = Schema.Struct({\n  type: Schema.Literal(\"git\"),\n  repository: Schema.String,\n  branch: Schema.String.pipe(optional),\n  description: Schema.String.pipe(optional),\n  hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.GitSource\" })\n\nexport const Source = Schema.Union([LocalSource, GitSource])\n  .pipe(Schema.toTaggedUnion(\"type\"))\n  .annotate({ identifier: \"Reference.Source\" })\nexport type Source = typeof Source.Type\n\nexport const Info = Schema.Struct({\n  name: Schema.String,\n  path: AbsolutePath,\n  description: Schema.String.pipe(optional),\n  hidden: Schema.Boolean.pipe(optional),\n  source: Source,\n}).annotate({ identifier: \"Reference.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n"
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bin/chunk-m1a3aw1d.js.map

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+  "sourcesContent": [
+    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type ModelOptions = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n  }\n\nexport const routes = [OpenAIResponses.route, OpenAICompatibleChat.route]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return OpenAIResponses.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nconst configuredChatRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return OpenAICompatibleChat.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nexport const configure = (input: ModelOptions = {}) => {\n  const responsesRoute = configuredResponsesRoute(input)\n  const chatRoute = configuredChatRoute(input)\n  const responses = (modelID: string | ModelID) => responsesRoute.model({ id: modelID })\n  const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID })\n  return {\n    id,\n    model: responses,\n    responses,\n    chat,\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model = provider.model\nexport const responses = provider.responses\nexport const chat = provider.chat\n"
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bin/chunk-mhn2pjqa.js.map

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+    "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"
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bin/chunk-mtz2msr1.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openai-compatible.ts"],
+  "sourcesContent": [
+    "import { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile\"\n\nexport const id = ProviderID.make(\"openai-compatible\")\n\ntype GenericModelOptions = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\n  }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL: string\n  readonly provider?: string\n}\n\nexport type FamilyModelOptions = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\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) => route.model({ 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>[\"model\"] = (modelID, settings) =>\n  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n  }).model(modelID)\n\nexport const baseten = define(profiles.baseten)\nexport const cerebras = define(profiles.cerebras)\nexport const deepinfra = define(profiles.deepinfra)\nexport const deepseek = define(profiles.deepseek)\nexport const fireworks = define(profiles.fireworks)\nexport const groq = define(profiles.groq)\nexport const togetherai = define(profiles.togetherai)\n"
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bin/chunk-n0deh267.js.map

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

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+}

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+  "version": 3,
+  "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"],
+  "sourcesContent": [
+    "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor\"\nimport type { ImageRequest, ImageResponse } from \"./image\"\nimport type { LLMError } from \"./schema\"\n\nexport type Execute = RequestExecutor.Interface[\"execute\"]\n\nexport interface Interface {\n  readonly generate: (request: ImageRequest) => Effect.Effect<ImageResponse, LLMError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/ImageClient\") {}\n\nexport const generate = (request: ImageRequest): Effect.Effect<ImageResponse, LLMError> =>\n  Effect.gen(function* () {\n    const client = yield* Service\n    return yield* client.generate(request)\n  }) as Effect.Effect<ImageResponse, LLMError>\n\nexport const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const executor = yield* RequestExecutor.Service\n    return Service.of({\n      generate: (request) => request.model.route.generate(request, executor.execute),\n    })\n  }),\n)\n\nexport const ImageClient = {\n  Service,\n  layer,\n  generate,\n} as const\n",
+    "import { Effect, Schema } from \"effect\"\nimport { HttpOptions, InvalidRequestReason, LLMError, ModelID, ProviderID, ProviderMetadata, Usage } from \"./schema\"\nimport { ImageClient, type Execute as ImageExecute } from \"./image-client\"\n\nexport interface ImageRoute {\n  readonly id: string\n  readonly generate: (request: ImageRequest, execute: ImageExecute) => Effect.Effect<ImageResponse, LLMError>\n}\n\nexport class ImageModel {\n  readonly id: ModelID\n  readonly provider: ProviderID\n  readonly route: ImageRoute\n  readonly defaults?: ImageModelDefaults\n\n  constructor(input: ImageModel.Input) {\n    this.id = input.id\n    this.provider = input.provider\n    this.route = input.route\n    this.defaults = input.defaults\n  }\n\n  static make(input: ImageModel.MakeInput) {\n    return new ImageModel({\n      id: ModelID.make(input.id),\n      provider: ProviderID.make(input.provider),\n      route: input.route,\n      defaults: input.defaults,\n    })\n  }\n}\n\nexport namespace ImageModel {\n  export interface Input {\n    readonly id: ModelID\n    readonly provider: ProviderID\n    readonly route: ImageRoute\n    readonly defaults?: ImageModelDefaults\n  }\n\n  export interface MakeInput extends Omit<Input, \"id\" | \"provider\"> {\n    readonly id: string | ModelID\n    readonly provider: string | ProviderID\n  }\n}\n\nexport interface ImageModelDefaults {\n  readonly providerOptions?: Record<string, Record<string, unknown>>\n  readonly http?: HttpOptions\n}\n\nexport const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {\n  expected: \"Image.Model\",\n})\n\nexport const ImageSize = Schema.Struct({\n  width: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),\n  height: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),\n}).annotate({ identifier: \"Image.Size\" })\nexport type ImageSize = Schema.Schema.Type<typeof ImageSize>\n\nexport class ImageRequest extends Schema.Class<ImageRequest>(\"Image.Request\")({\n  model: ImageModelSchema,\n  prompt: Schema.String,\n  count: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),\n  size: Schema.optional(ImageSize),\n  aspectRatio: Schema.optional(Schema.String),\n  seed: Schema.optional(Schema.Number),\n  providerOptions: Schema.optional(Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown))),\n  http: Schema.optional(HttpOptions),\n  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport type ImageRequestInput = Omit<ConstructorParameters<typeof ImageRequest>[0], \"http\"> & {\n  readonly http?: HttpOptions.Input\n}\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 const request = (input: ImageRequest | ImageRequestInput) => {\n  if (input instanceof ImageRequest) return input\n  return new ImageRequest({\n    ...input,\n    http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n  })\n}\n\nexport const generate = (input: ImageRequest | ImageRequestInput) =>\n  Effect.try({\n    try: () => request(input),\n    catch: (error) =>\n      new LLMError({\n        module: \"Image\",\n        method: \"generate\",\n        reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),\n      }),\n  }).pipe(Effect.flatMap(ImageClient.generate))\n\nexport const Image = {\n  request,\n  generate,\n} as const\n"
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+  "debugId": "082A465C73E07E7464756E2164756E21",
+  "names": []
+}

bin/chunk-nhq1ypjq.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": "C224C0FB626CB65864756E2164756E21",
+  "names": []
+}

bin/chunk-nv33ayfr.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/plugin/list.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.list,\n  Effect.fn(\"cli.plugin.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n    const plugins = response.data.toSorted((a, b) => a.id.localeCompare(b.id))\n    if (plugins.length === 0) {\n      process.stdout.write(\"No plugins loaded\" + EOL)\n      return\n    }\n    process.stdout.write(plugins.map((plugin) => plugin.id).join(EOL) + EOL)\n  }),\n)\n"
+  ],
+  "mappings": ";g6BAAA,mBAAS,gBAQT,SAAe,SAAQ,aACrB,OAAS,cAAS,YAAO,cAAS,UAClC,OAAO,QAAG,sBAAiB,OAAE,cAAU,OAAG,MACxC,SAAM,OAAU,WAAO,OAAc,aAAQ,OAEvC,QADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAEpF,GADW,MAAO,EAAO,QAAQ,IAAM,EAAO,OAAO,KAAK,CAAE,SAAU,CAAE,UAAW,QAAQ,IAAI,CAAE,CAAE,CAAC,CAAC,GAClF,KAAK,SAAS,CAAC,EAAG,IAAM,EAAE,GAAG,cAAc,EAAE,EAAE,CAAC,EACzE,GAAI,EAAQ,SAAW,EAAG,CACxB,QAAQ,OAAO,MAAM,oBAAsB,CAAG,EAC9C,OAEF,QAAQ,OAAO,MAAM,EAAQ,IAAI,CAAC,IAAW,EAAO,EAAE,EAAE,KAAK,CAAG,EAAI,CAAG,EACxE,CACH",
+  "debugId": "25818149364C898964756E2164756E21",
+  "names": []
+}

bin/chunk-pjhkk47b.js.map

+{
+  "version": 3,
+  "sources": [],
+  "sourcesContent": [
+  ],
+  "mappings": "",
+  "debugId": "1866982064D9934464756E2164756E21",
+  "names": []
+}

bin/chunk-qr640cs5.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mini.ts"],
+  "sourcesContent": [
+    "import { Context, Effect, FileSystem, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { Config } from \"../../config\"\nimport { resolve } from \"@opencode-ai/tui/config\"\n\nexport default Runtime.handler(Commands.commands.mini, (input) =>\n  Effect.gen(function* () {\n    const { runMini, validateMiniTerminal } = yield* Effect.promise(() => import(\"../../mini\"))\n    yield* Effect.promise(async () => validateMiniTerminal())\n    const serverURL = Option.getOrUndefined(input.server)\n    const server = yield* ServerConnection.resolve({ server: serverURL, standalone: input.standalone })\n    const config = yield* Config.Service\n    const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== \"win32\" })\n    const fileSystem = yield* FileSystem.FileSystem\n    const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))\n    const service = server.service\n    yield* Effect.promise(() =>\n      runMini({\n        server: {\n          endpoint: server.endpoint,\n          reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,\n        },\n        continue: input.continue,\n        session: Option.getOrUndefined(input.session),\n        fork: input.fork,\n        model: Option.getOrUndefined(input.model),\n        agent: Option.getOrUndefined(input.agent),\n        prompt: Option.getOrUndefined(input.prompt),\n        replay: input.replay,\n        replayLimit: Option.getOrUndefined(input.replayLimit),\n        demo: input.demo,\n        tuiConfig: resolved,\n      }),\n    )\n  }),\n)\n"
+  ],
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+  "debugId": "20EC794DA44DA6E064756E2164756E21",
+  "names": []
+}

bin/chunk-qvvmsmy7.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": "FC4FC4A1AB275C9364756E2164756E21",
+  "names": []
+}

bin/chunk-rmnfs4fw.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": ";i3BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,YACnC,OAAO,QAAG,yBAAoB,OAAE,cAAU,OAAG,MAC3C,SAAM,OAAU,WAAO,OAAc,aAAQ,OACvC,EAAQ,MAAO,EAAQ,SAAS,IAAK,EAAS,QAAS,MAAU,CAAC,EACxE,QAAQ,OAAO,OAAO,GAAO,KAAO,WAAa,CAAG,EACrD,CACH",
+  "debugId": "E6973FC71D85021D64756E2164756E21",
+  "names": []
+}

bin/chunk-rnj679c6.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/providers/openrouter.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport { ProviderID, type ModelID, type ProviderOptions } from \"../schema\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport { isRecord } from \"../protocols/shared\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\nexport interface OpenRouterOptions {\n  readonly [key: string]: unknown\n  readonly usage?: boolean | Record<string, unknown>\n  readonly reasoning?: Record<string, unknown>\n  readonly promptCacheKey?: string\n}\n\nexport type OpenRouterProviderOptionsInput = ProviderOptions & {\n  readonly openrouter?: OpenRouterOptions\n}\n\nexport type ModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: OpenRouterProviderOptionsInput\n  }\n\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.protocol.body.from(request).pipe(\n        Effect.map((body) => {\n          const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n          let assistantIndex = 0\n          const messages = body.messages.map((message) => {\n            if (message.role !== \"assistant\") return message\n            const source = sourceAssistants[assistantIndex++]\n            const reasoning = source?.content\n              .filter((part) => part.type === \"reasoning\")\n              .map((part) => part.text)\n              .join(\"\")\n            const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n            return {\n              ...message,\n              reasoning_content: undefined,\n              reasoning_text: undefined,\n              reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n              reasoning_details: reasoningDetails,\n            }\n          })\n          return {\n            ...body,\n            messages,\n            ...bodyOptions(request.providerOptions?.openrouter),\n          } as OpenRouterBody\n        }),\n      ),\n  },\n  stream: OpenAIChat.protocol.stream,\n})\n\nconst bodyOptions = (input: unknown) => {\n  const openrouter = isRecord(input) ? input : {}\n  return {\n    ...(openrouter.usage === true\n      ? { usage: { include: true } }\n      : isRecord(openrouter.usage)\n        ? { usage: openrouter.usage }\n        : {}),\n    ...(isRecord(openrouter.reasoning) ? { reasoning: openrouter.reasoning } : {}),\n    ...(typeof openrouter.promptCacheKey === \"string\" ? { prompt_cache_key: openrouter.promptCacheKey } : {}),\n  }\n}\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: profile.provider,\n  protocol,\n  endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n  framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return route.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? profile.baseURL },\n    auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n  })\n}\n\nexport const configure = (input: ModelOptions = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model = provider.model\n"
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+  "debugId": "A82D93ED81F70C4064756E2164756E21",
+  "names": []
+}

bin/chunk-smc565z0.js.map

+{
+  "version": 3,
+  "sources": ["../ai/src/protocols/gemini.ts", "../ai/src/providers/google.ts"],
+  "sourcesContent": [
+    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderMetadata,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolContent,\n} from \"../schema\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\n\nconst ADAPTER = \"gemini\"\nconst MEDIA_MIMES = new Set<string>(ProviderShared.MEDIA_MIMES)\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\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})\n\nconst GeminiFunctionCallPart = Schema.Struct({\n  functionCall: Schema.Struct({\n    name: Schema.String,\n    args: Schema.Unknown,\n  }),\n  thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n  functionResponse: Schema.Struct({\n    name: Schema.String,\n    response: Schema.Unknown,\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})\n\nconst GeminiGenerationConfig = Schema.Struct({\n  maxOutputTokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  topP: Schema.optional(Schema.Number),\n  topK: Schema.optional(Schema.Number),\n  stopSequences: optionalArray(Schema.String),\n  thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n  contents: Schema.Array(GeminiContent),\n  systemInstruction: Schema.optional(GeminiSystemInstruction),\n  tools: optionalArray(GeminiTool),\n  toolConfig: Schema.optional(GeminiToolConfig),\n  generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n  cachedContentTokenCount: Schema.optional(Schema.Number),\n  thoughtsTokenCount: Schema.optional(Schema.Number),\n  promptTokenCount: Schema.optional(Schema.Number),\n  candidatesTokenCount: Schema.optional(Schema.Number),\n  totalTokenCount: Schema.optional(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n  content: Schema.optional(GeminiContent),\n  finishReason: Schema.optional(Schema.String),\n})\n\nconst GeminiEvent = Schema.Struct({\n  candidates: optionalArray(GeminiCandidate),\n  usageMetadata: Schema.optional(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n  readonly finishReason?: string\n  readonly hasToolCalls: boolean\n  readonly nextToolCallId: number\n  readonly usage?: Usage\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningSignature?: string\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n//    enums (must be strings), `required` entries that don't match a property,\n//    untyped arrays (`items` must be present), and `properties`/`required`\n//    keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n//    drop empty objects, derive `nullable: true` from `type: [..., \"null\"]`,\n//    coerce `const` to `[const]` enum, recurse properties/items, propagate\n//    only an allowlisted set of keys (description, required, format, type,\n//    properties, items, allOf, anyOf, oneOf, minLength). Anything outside the\n//    allowlist (e.g. `additionalProperties`, `$ref`) is silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n  name: tool.name,\n  description: tool.description,\n  parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n    auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n    none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n    required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n    tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n  })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n  if (part.type === \"text\") return { text: part.text }\n  const media = yield* ProviderShared.validateMedia(\"Gemini\", part, MEDIA_MIMES)\n  return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n  const google = providerMetadata?.google\n  return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n    ? google.thoughtSignature\n    : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart) => ({\n  functionCall: { name: part.name, args: part.input },\n  thoughtSignature: thoughtSignature(part.providerMetadata),\n})\n\nconst lowerMessages = Effect.fn(\"Gemini.lowerMessages\")(function* (request: LLMRequest) {\n  const contents: GeminiContent[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Gemini\", message)\n      const previous = contents.at(-1)\n      if (previous?.role === \"user\")\n        contents[contents.length - 1] = { role: \"user\", parts: [...previous.parts, { text: part.text }] }\n      else contents.push({ role: \"user\", parts: [{ text: part.text }] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"user\", [\"text\", \"media\"])\n        parts.push(yield* lowerUserPart(part))\n      }\n      contents.push({ role: \"user\", parts })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n        if (part.type === \"text\") {\n          parts.push({ text: part.text })\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          parts.push(lowerToolCall(part))\n          continue\n        }\n      }\n      contents.push({ role: \"model\", parts })\n      continue\n    }\n\n    const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n      if (part.result.type !== \"content\") {\n        parts.push({\n          functionResponse: {\n            name: part.name,\n            response: {\n              name: part.name,\n              content: ProviderShared.toolResultText(part),\n            },\n          },\n        })\n        continue\n      }\n      const content: ReadonlyArray<ToolContent> = part.result.value\n      const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n      parts.push({\n        functionResponse: {\n          name: part.name,\n          response: {\n            name: part.name,\n            content: text.join(\"\\n\"),\n          },\n        },\n      })\n      for (const item of content) {\n        if (item.type === \"text\") continue\n        const media = yield* ProviderShared.validateToolFile(\"Gemini\", item, MEDIA_MIMES)\n        parts.push({ inlineData: { mimeType: media.mime, data: media.base64 } })\n      }\n    }\n    contents.push({ role: \"user\", parts })\n  }\n\n  return contents\n})\n\nconst geminiOptions = (request: LLMRequest) => request.providerOptions?.gemini\n\nconst thinkingConfig = (request: LLMRequest) => {\n  const value = geminiOptions(request)?.thinkingConfig\n  if (!ProviderShared.isRecord(value)) return undefined\n  const result = {\n    thinkingBudget: typeof value.thinkingBudget === \"number\" ? value.thinkingBudget : undefined,\n    includeThoughts: typeof value.includeThoughts === \"boolean\" ? value.includeThoughts : undefined,\n  }\n  return Object.values(result).some((item) => item !== undefined) ? result : undefined\n}\n\nconst fromRequest = Effect.fn(\"Gemini.fromRequest\")(function* (request: LLMRequest) {\n  const toolsEnabled = request.tools.length > 0 && request.toolChoice?.type !== \"none\"\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const generationConfig = {\n    maxOutputTokens: generation?.maxTokens,\n    temperature: generation?.temperature,\n    topP: generation?.topP,\n    topK: generation?.topK,\n    stopSequences: generation?.stop,\n    thinkingConfig: thinkingConfig(request),\n  }\n\n  return {\n    contents: yield* lowerMessages(request),\n    systemInstruction:\n      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },\n    tools: toolsEnabled\n      ? [\n          {\n            functionDeclarations: request.tools.map((tool) =>\n              lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n            ),\n          },\n        ]\n      : undefined,\n    toolConfig: toolsEnabled && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,\n    generationConfig: Object.values(generationConfig).some((value) => value !== undefined)\n      ? generationConfig\n      : undefined,\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Gemini reports `promptTokenCount` (inclusive total) with a\n// `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*\n// of `thoughtsTokenCount` — visible-only, not a total — so we sum the two\n// to produce the inclusive `outputTokens` the rest of the contract expects.\nconst mapUsage = (usage: GeminiUsage | undefined) => {\n  if (!usage) return undefined\n  const cached = usage.cachedContentTokenCount\n  const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached)\n  // `candidatesTokenCount` is visible-only; sum with thoughts to produce the\n  // inclusive `outputTokens` the contract expects. Only compute the total\n  // when the visible component is reported — otherwise we'd fabricate an\n  // inclusive number from a partial breakdown.\n  const outputTokens =\n    usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined\n  return new Usage({\n    inputTokens: usage.promptTokenCount,\n    outputTokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    reasoningTokens: usage.thoughtsTokenCount,\n    totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n    providerMetadata: { google: usage },\n  })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n  if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n  if (finishReason === \"MAX_TOKENS\") return \"length\"\n  if (\n    finishReason === \"IMAGE_SAFETY\" ||\n    finishReason === \"RECITATION\" ||\n    finishReason === \"SAFETY\" ||\n    finishReason === \"BLOCKLIST\" ||\n    finishReason === \"PROHIBITED_CONTENT\" ||\n    finishReason === \"SPII\"\n  )\n    return \"content-filter\"\n  if (finishReason === \"MALFORMED_FUNCTION_CALL\") return \"error\"\n  return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> =>\n  state.finishReason || state.usage\n    ? (() => {\n        const events: LLMEvent[] = []\n        const lifecycle = state.reasoningSignature\n          ? Lifecycle.reasoningEnd(\n              state.lifecycle,\n              events,\n              \"reasoning-0\",\n              googleMetadata({ thoughtSignature: state.reasoningSignature }),\n            )\n          : state.lifecycle\n        Lifecycle.finish(lifecycle, events, {\n          reason: mapFinishReason(state.finishReason, state.hasToolCalls),\n          usage: state.usage,\n        })\n        return events\n      })()\n    : []\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n  const nextState = {\n    ...state,\n    usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n  }\n  const candidate = event.candidates?.[0]\n  if (!candidate?.content)\n    return Effect.succeed([\n      { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n      [],\n    ] as const)\n\n  const events: LLMEvent[] = []\n  let hasToolCalls = nextState.hasToolCalls\n  let lifecycle = nextState.lifecycle\n  let nextToolCallId = nextState.nextToolCallId\n  let reasoningSignature = nextState.reasoningSignature\n\n  for (const part of candidate.content.parts) {\n    if (\"thoughtSignature\" in part && part.thoughtSignature && \"thought\" in part && part.thought)\n      reasoningSignature = part.thoughtSignature\n    if (\"text\" in part && part.text.length > 0) {\n      if (part.thought) {\n        lifecycle = Lifecycle.reasoningDelta(\n          lifecycle,\n          events,\n          \"reasoning-0\",\n          part.text,\n          part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n        )\n        continue\n      }\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", part.text)\n      continue\n    }\n\n    if (\"functionCall\" in part) {\n      const input = part.functionCall.args\n      const id = `tool_${nextToolCallId++}`\n      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: part.thoughtSignature\n            ? googleMetadata({ thoughtSignature: part.thoughtSignature })\n            : undefined,\n        }),\n      )\n      hasToolCalls = true\n    }\n  }\n\n  return Effect.succeed([\n    {\n      ...nextState,\n      hasToolCalls,\n      lifecycle,\n      nextToolCallId,\n      reasoningSignature,\n      finishReason: candidate.finishReason ?? nextState.finishReason,\n    },\n    events,\n  ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine. Used by Google AI Studio Gemini and (once\n * registered) Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: GeminiBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(GeminiEvent),\n    initial: () => ({ hasToolCalls: false, nextToolCallId: 0, lifecycle: Lifecycle.initial() }),\n    step,\n    onHalt: finish,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"google\",\n  providerMetadataKey: \"google\",\n  protocol,\n  // Gemini's path embeds the model id and pins SSE framing at the URL level.\n  endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n    baseURL: DEFAULT_BASE_URL,\n  }),\n  auth: Auth.none,\n  framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini\"\n",
+    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID, type ProviderOptions } from \"../schema\"\nimport * as Gemini from \"../protocols/gemini\"\n\nexport const id = ProviderID.make(\"google\")\n\nexport const routes = [Gemini.route]\n\nexport type Config = RouteDefaultsInput & ProviderAuthOption<\"optional\"> & { readonly baseURL?: string }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: ProviderOptions\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  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  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n"
+  ],
+  "mappings": 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+  "debugId": "6F9AD0DFC807220B64756E2164756E21",
+  "names": []
+}

bin/chunk-tbv1a2xx.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/migrate.ts"],
+  "sourcesContent": [
+    "import { Effect } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\n\nexport default Runtime.handler(Commands.commands.migrate, (_input) => Effect.log(\"No migrations to run.\"))\n"
+  ],
+  "mappings": ";ivBAIA,SAAe,SAAQ,aAAQ,OAAS,cAAS,aAAS,MAAC,SAAW,OAAO,SAAI,4BAAuB,MAAC",
+  "debugId": "06E3BC9A36E0253864756E2164756E21",
+  "names": []
+}

bin/chunk-v5w2h8x1.js.map

+{
+  "version": 3,
+  "sources": ["src/commands/handlers/mcp/auth.ts"],
+  "sourcesContent": [
+    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport {\n  OpenCode,\n  type IntegrationAttemptStatus,\n  type IntegrationOAuthMethod,\n  type OpenCodeClient,\n} from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.auth,\n  Effect.fn(\"cli.mcp.auth\")(function* (input) {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n    const integration = yield* resolveIntegration(client, input.name, location)\n    if (!integration)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n    const method = integration.methods.find(\n      (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n    )\n    if (!method)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n    const started = yield* Effect.promise(() =>\n      client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, inputs: {}, location }),\n    )\n    const attempt = started.data\n    if (attempt.mode === \"code\")\n      return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n    process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n    const result = yield* poll(client, integration.id, attempt.attemptID)\n    if (result.status === \"complete\") {\n      process.stdout.write(`Authenticated with ${input.name}` + EOL)\n      return\n    }\n    const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n    return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n  }),\n)\n\nconst poll = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n  Effect.gen(function* () {\n    const status = yield* Effect.promise(() =>\n      client.integration.oauth.status({ integrationID, attemptID, location }),\n    ).pipe(Effect.map((result) => result.data))\n    if (status.status === \"pending\") {\n      yield* Effect.sleep(\"1 second\")\n      return yield* poll(client, integrationID, attemptID)\n    }\n    return status\n  })\n"
+  ],
+  "mappings": ";+8BAAA,mBAAS,gBAcT,SAAM,OAAW,MAAE,eAAW,aAAQ,SAAI,MAAE,OAE7B,SAAQ,aACrB,OAAS,cAAS,SAAI,cAAS,UAC/B,OAAO,QAAG,mBAAc,OAAE,cAAU,MAAC,OAAO,MAC1C,IAAM,EAAU,MAAO,EAAc,QAAQ,EAEvC,GADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAEpF,EAAc,MAAO,EAAmB,EAAQ,EAAM,KAAM,CAAQ,EAC1E,GAAI,CAAC,EACH,OAAO,MAAO,EAAO,KAAS,MAAM,eAAe,EAAM,6CAA6C,CAAC,EACzG,IAAM,EAAS,EAAY,QAAQ,KACjC,CAAC,IAAmD,EAAU,OAAS,OACzE,EACA,GAAI,CAAC,EACH,OAAO,MAAO,EAAO,KAAS,MAAM,eAAe,EAAM,6CAA6C,CAAC,EAKzG,IAAM,GAHU,MAAO,EAAO,QAAQ,IACpC,EAAO,YAAY,MAAM,QAAQ,CAAE,cAAe,EAAY,GAAI,SAAU,EAAO,GAAI,OAAQ,CAAC,EAAG,UAAS,CAAC,CAC/G,GACwB,KACxB,GAAI,EAAQ,OAAS,OACnB,OAAO,MAAO,EAAO,KAAS,MAAM,wEAAwE,CAAC,EAE/G,QAAQ,OAAO,MAAM,EAAQ,aAAe,EAAM,EAAQ,IAAM,CAAG,EAEnE,IAAM,EAAS,MAAO,EAAK,EAAQ,EAAY,GAAI,EAAQ,SAAS,EACpE,GAAI,EAAO,SAAW,WAAY,CAChC,QAAQ,OAAO,MAAM,sBAAsB,EAAM,OAAS,CAAG,EAC7D,OAEF,IAAM,EAAS,EAAO,SAAW,SAAW,KAAK,EAAO,UAAY,GACpE,OAAO,MAAO,EAAO,KAAS,MAAM,kBAAkB,EAAO,SAAS,GAAQ,CAAC,EAChF,CACH,EAEM,EAAO,CACX,EACA,EACA,IAEA,EAAO,IAAI,SAAU,EAAG,CACtB,IAAM,EAAS,MAAO,EAAO,QAAQ,IACnC,EAAO,YAAY,MAAM,OAAO,CAAE,gBAAe,YAAW,UAAS,CAAC,CACxE,EAAE,KAAK,EAAO,IAAI,CAAC,IAAW,EAAO,IAAI,CAAC,EAC1C,GAAI,EAAO,SAAW,UAEpB,OADA,MAAO,EAAO,MAAM,UAAU,EACvB,MAAO,EAAK,EAAQ,EAAe,CAAS,EAErD,OAAO,EACR",
+  "debugId": "5079527E055CB5F464756E2164756E21",
+  "names": []
+}

bin/chunk-vz8ayswr.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,\n      }),\n    )\n  }),\n)\n"
+  ],
+  "mappings": ";+9BAKA,SAAe,SAAQ,aAAQ,OAAS,cAAS,SAAK,MAAC,SACrD,OAAO,SAAI,cAAU,OAAG,MACtB,SAAQ,0BAAsB,WAAO,OAAO,aAAQ,SAAa,wCAAgB,OAC3E,OAAY,aAAQ,UAAK,aAAQ,UAAM,MAAC,EACxC,EAAS,MAAO,EAAiB,QAAQ,CAC7C,OAAQ,EAAO,eAAe,EAAM,MAAM,EAC1C,WAAY,EAAM,UACpB,CAAC,EACD,MAAO,EAAO,QAAQ,IACpB,EAAkB,CAChB,SACA,QAAS,CAAC,GAAG,EAAM,QAAS,GAAI,IAAc,GAAK,CAAC,EAAI,QAAQ,KAAK,MAAM,EAAY,CAAC,CAAE,EAC1F,SAAU,EAAM,SAChB,QAAS,EAAO,eAAe,EAAM,OAAO,EAC5C,KAAM,EAAM,KACZ,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,OAAQ,EAAM,OACd,KAAM,CAAC,GAAG,EAAM,IAAI,EACpB,MAAO,EAAO,eAAe,EAAM,KAAK,EACxC,SAAU,EAAM,SAChB,KAAM,EAAM,MAAQ,EAAM,IAC5B,CAAC,CACH,EACD,CACH",
+  "debugId": "427FE24C2D82DF8164756E2164756E21",
+  "names": []
+}

bin/chunk-xegbbe9d.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": ";i3BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,aACnC,OAAO,QAAG,0BAAqB,OAAE,cAAU,OAAG,MAC5C,SAAM,OAAU,WAAO,OAAc,aAAQ,OAC7C,MAAO,EAAQ,KAAK,CAAO,EAC3B,IAAM,EAAY,MAAO,EAAQ,OAAO,CAAO,EAC/C,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
+  "debugId": "FFE95A9D4E1C0FBE64756E2164756E21",
+  "names": []
+}

package.json

 {
   "name": "@opencode-ai/cli-windows-arm64",
-  "version": "0.0.0-next-15840",
+  "version": "0.0.0-next-15848",
   "license": "MIT",
@@ -5,0 +5,0 @@ "repository": {

bin/chunk-0v5cp6f9.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "691A980A6A45C33A64756E2164756E21",
-  "names": []
-}

bin/chunk-0vmmaz2y.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": ";i3BAMA,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,UACnC,OAAO,QAAG,uBAAkB,OAAE,cAAU,OAAG,MACzC,WAAO,OAAQ,UAAK,WAAO,OAAc,aAAQ,MAAC,OACnD,CACH",
-  "debugId": "328D68D3EC323AAF64756E2164756E21",
-  "names": []
-}

bin/chunk-1ex80g7j.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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-  "debugId": "1B246726D8AD070264756E2164756E21",
-  "names": []
-}

bin/chunk-2f7vev7k.js.map

-{
-  "version": 3,
-  "sources": ["../core/src/image/photon-wasm.bun.ts", "../core/src/image/photon.ts"],
-  "sourcesContent": [
-    "// @ts-ignore Bun embeds static file imports when compiling the CLI.\nimport photonWasm from \"@silvia-odwyer/photon-node/photon_rs_bg.wasm\" with { type: \"file\" }\n\nexport default photonWasm\n",
-    "import photonWasm from \"#photon-wasm\"\nimport { Effect } from \"effect\"\nimport path from \"node:path\"\nimport { fileURLToPath } from \"node:url\"\nimport { FileSystem } from \"../filesystem\"\nimport { DecodeError, ResizerUnavailableError, SizeError } from \"../image\"\n\nconst JPEG_QUALITIES = [80, 85, 70, 55, 40]\n\nexport const make = Effect.gen(function* () {\n  ;(globalThis as typeof globalThis & { __OPENCODE_PHOTON_WASM_PATH?: string }).__OPENCODE_PHOTON_WASM_PATH =\n    path.isAbsolute(photonWasm) ? photonWasm : fileURLToPath(new URL(photonWasm, import.meta.url))\n  const loadPhoton = yield* Effect.cached(\n    Effect.tryPromise({\n      try: () => import(\"@silvia-odwyer/photon-node\"),\n      catch: () => new ResizerUnavailableError(),\n    }),\n  )\n  return Effect.fn(\"Image.Photon.normalize\")(function* (\n    resource: string,\n    content: FileSystem.Content & { readonly encoding: \"base64\" },\n    limits: {\n      readonly autoResize: boolean\n      readonly maxWidth: number\n      readonly maxHeight: number\n      readonly maxBase64Bytes: number\n    },\n  ) {\n    const photon = yield* loadPhoton\n    const decoded = yield* Effect.try({\n      try: () => photon.PhotonImage.new_from_byteslice(Buffer.from(content.content, \"base64\")),\n      catch: () => new DecodeError({ resource }),\n    })\n    try {\n      const width = decoded.get_width()\n      const height = decoded.get_height()\n      const bytes = Buffer.byteLength(content.content, \"utf-8\")\n      if (width <= limits.maxWidth && height <= limits.maxHeight && bytes <= limits.maxBase64Bytes) return content\n      if (!limits.autoResize)\n        return yield* new SizeError({\n          resource,\n          width,\n          height,\n          bytes,\n          maxWidth: limits.maxWidth,\n          maxHeight: limits.maxHeight,\n          maxBytes: limits.maxBase64Bytes,\n        })\n      const scale = Math.min(1, limits.maxWidth / width, limits.maxHeight / height)\n      const sizes = Array.from({ length: 32 }).reduce<Array<{ width: number; height: number }>>((acc) => {\n        const previous = acc.at(-1) ?? {\n          width: Math.max(1, Math.round(width * scale)),\n          height: Math.max(1, Math.round(height * scale)),\n        }\n        const next =\n          acc.length === 0\n            ? previous\n            : {\n                width: previous.width === 1 ? 1 : Math.max(1, Math.floor(previous.width * 0.75)),\n                height: previous.height === 1 ? 1 : Math.max(1, Math.floor(previous.height * 0.75)),\n              }\n        return acc.some((item) => item.width === next.width && item.height === next.height) ? acc : [...acc, next]\n      }, [])\n      for (const size of sizes) {\n        const resized = photon.resize(decoded, size.width, size.height, photon.SamplingFilter.Lanczos3)\n        try {\n          const encoders: Array<readonly [mime: string, encode: () => Uint8Array]> = [\n            [\"image/png\", () => resized.get_bytes()],\n            ...JPEG_QUALITIES.map((quality) => [\"image/jpeg\", () => resized.get_bytes_jpeg(quality)] as const),\n          ]\n          for (const [mime, encode] of encoders) {\n            const candidate = Buffer.from(encode()).toString(\"base64\")\n            if (Buffer.byteLength(candidate, \"utf-8\") <= limits.maxBase64Bytes)\n              return { ...content, content: candidate, encoding: \"base64\" as const, mime }\n          }\n        } finally {\n          resized.free()\n        }\n      }\n      return yield* new SizeError({\n        resource,\n        width,\n        height,\n        bytes,\n        maxWidth: limits.maxWidth,\n        maxHeight: limits.maxHeight,\n        maxBytes: limits.maxBase64Bytes,\n      })\n    } finally {\n      decoded.free()\n    }\n  })\n})\n"
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-  "debugId": "9607226C45F6BC8764756E2164756E21",
-  "names": []
-}

bin/chunk-2h02sty9.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": ";i3BAAA,mBAAS,gBAOT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,WACnC,OAAO,QAAG,wBAAmB,OAAE,cAAU,OAAG,MAC1C,SAAM,OAAY,WAAO,OAAQ,YAAO,WAAO,EAAc,QAAQ,CAAC,EACtE,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH",
-  "debugId": "87679C6716AD867864756E2164756E21",
-  "names": []
-}

bin/chunk-3j9j4tsg.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/bedrock-event-stream.ts", "../ai/src/protocols/utils/bedrock-auth.ts", "../ai/src/protocols/utils/bedrock-cache.ts", "../ai/src/protocols/utils/bedrock-media.ts", "../ai/src/protocols/bedrock-converse.ts", "../ai/src/providers/amazon-bedrock.ts"],
-  "sourcesContent": [
-    "import { EventStreamCodec } from \"@smithy/eventstream-codec\"\nimport { fromUtf8, toUtf8 } from \"@smithy/util-utf8\"\nimport { Effect, Stream } from \"effect\"\nimport { Framing } from \"../route/framing\"\nimport { ProviderShared } from \"./shared\"\n\n// Bedrock streams responses using the AWS event stream binary protocol — each\n// frame is `[length:4][headers-length:4][prelude-crc:4][headers][payload][crc:4]`.\n// We use `@smithy/eventstream-codec` to validate framing and CRCs, then\n// reconstruct the JSON wrapping by `:event-type` so the chunk schema can match.\nconst eventCodec = new EventStreamCodec(toUtf8, fromUtf8)\nconst utf8 = new TextDecoder()\n\n// Cursor-tracking buffer state. Bytes accumulate in `buffer`; `offset` is the\n// read position. Reading by `subarray` is zero-copy. We only allocate a fresh\n// buffer when a new network chunk arrives and we need to append.\ninterface FrameBufferState {\n  readonly buffer: Uint8Array\n  readonly offset: number\n}\n\nconst initialFrameBuffer: FrameBufferState = { buffer: new Uint8Array(0), offset: 0 }\n\nconst appendChunk = (state: FrameBufferState, chunk: Uint8Array): FrameBufferState => {\n  const remaining = state.buffer.length - state.offset\n  // Compact: drop the consumed prefix and append the new chunk in one alloc.\n  // This bounds buffer growth to at most one network chunk past the live\n  // window, regardless of stream length.\n  const next = new Uint8Array(remaining + chunk.length)\n  next.set(state.buffer.subarray(state.offset), 0)\n  next.set(chunk, remaining)\n  return { buffer: next, offset: 0 }\n}\n\nconst consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8Array) =>\n  Effect.gen(function* () {\n    let cursor = appendChunk(state, chunk)\n    const out: object[] = []\n    while (cursor.buffer.length - cursor.offset >= 4) {\n      const view = cursor.buffer.subarray(cursor.offset)\n      const totalLength = new DataView(view.buffer, view.byteOffset, view.byteLength).getUint32(0, false)\n      if (view.length < totalLength) break\n\n      const decoded = yield* Effect.try({\n        try: () => eventCodec.decode(view.subarray(0, totalLength)),\n        catch: (error) =>\n          ProviderShared.eventError(\n            route,\n            `Failed to decode Bedrock Converse event-stream frame: ${\n              error instanceof Error ? error.message : String(error)\n            }`,\n          ),\n      })\n      cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }\n\n      if (decoded.headers[\":message-type\"]?.value !== \"event\") continue\n      const eventType = decoded.headers[\":event-type\"]?.value\n      if (typeof eventType !== \"string\") continue\n      const payload = utf8.decode(decoded.body)\n      if (!payload) continue\n      // The AWS event stream pads short payloads with a `p` field. Drop it\n      // before handing the object to the chunk schema. JSON decode goes\n      // through the shared Schema-driven codec to satisfy the package rule\n      // against ad-hoc `JSON.parse` calls.\n      const parsed = (yield* ProviderShared.parseJson(\n        route,\n        payload,\n        \"Failed to parse Bedrock Converse event-stream payload\",\n      )) as Record<string, unknown>\n      delete parsed.p\n      out.push({ [eventType]: parsed })\n    }\n    return [cursor, out] as const\n  })\n\n/**\n * AWS event-stream framing for Bedrock Converse. Each frame is decoded by\n * `@smithy/eventstream-codec` (length + header + payload + CRC) and rewrapped\n * under its `:event-type` header so the chunk schema can match the JSON\n * payload directly.\n */\nexport const framing = (route: string): Framing.Definition<object> => ({\n  id: \"aws-event-stream\",\n  frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),\n})\n\nexport * as BedrockEventStream from \"./bedrock-event-stream\"\n",
-    "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth\"\nimport { ProviderShared } from \"../shared\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n  readonly region: string\n  readonly accessKeyId: string\n  readonly secretAccessKey: string\n  readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n  readonly url: string\n  readonly body: string\n  readonly headers: Headers.Headers\n  readonly credentials: Credentials\n}) =>\n  Effect.tryPromise({\n    try: async () => {\n      const signed = await new AwsV4Signer({\n        url: input.url,\n        method: \"POST\",\n        headers: Object.entries(input.headers),\n        body: input.body,\n        region: input.credentials.region,\n        accessKeyId: input.credentials.accessKeyId,\n        secretAccessKey: input.credentials.secretAccessKey,\n        sessionToken: input.credentials.sessionToken,\n        service: \"bedrock\",\n      }).sign()\n      return Object.fromEntries(signed.headers.entries())\n    },\n    catch: (error) =>\n      ProviderShared.invalidRequest(\n        `Bedrock Converse SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n      ),\n  })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (credentials: Credentials | undefined) =>\n  Auth.custom((input: AuthInput) => {\n    return Effect.gen(function* () {\n      if (!credentials) {\n        return yield* ProviderShared.invalidRequest(\n          \"Bedrock Converse requires either route bearer auth or AWS credentials configured on the route\",\n        )\n      }\n      const headersForSigning = Headers.set(input.headers, \"content-type\", \"application/json\")\n      const signed = yield* signRequest({\n        url: input.url,\n        body: input.body,\n        headers: headersForSigning,\n        credentials,\n      })\n      return Headers.setAll(headersForSigning, signed)\n    })\n  })\n\n/** Bedrock route auth defaults to SigV4 and expects credentials from route configuration. */\nexport const auth = sigV4(undefined)\n\nexport * as BedrockAuth from \"./bedrock-auth\"\n",
-    "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache\"\n\n// Bedrock cache markers are positional: emit a `cachePoint` block immediately\n// after the content the caller wants treated as a cacheable prefix. Bedrock\n// accepts optional `ttl: \"5m\" | \"1h\"` on cachePoint, mirroring Anthropic.\nexport const CachePointBlock = Schema.Struct({\n  cachePoint: Schema.Struct({\n    type: Schema.tag(\"default\"),\n    ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n  }),\n})\nexport type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>\n\n// Bedrock-Claude enforces the same 4-breakpoint cap as the Anthropic Messages\n// API. Callers pass a shared counter through every `block()` call site so the\n// budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache\"\nexport const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)\n\nconst DEFAULT_5M: CachePointBlock = { cachePoint: { type: \"default\" } }\nconst DEFAULT_1H: CachePointBlock = { cachePoint: { type: \"default\", ttl: \"1h\" } }\n\nexport const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {\n  if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n  if (breakpoints.remaining <= 0) {\n    breakpoints.dropped += 1\n    return undefined\n  }\n  breakpoints.remaining -= 1\n  return ttlBucket(cache.ttlSeconds) === \"1h\" ? DEFAULT_1H : DEFAULT_5M\n}\n\nexport * as BedrockCache from \"./bedrock-cache\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema\"\nimport { ProviderShared } from \"../shared\"\n\n// Bedrock Converse accepts image `format` as the file extension and\n// `source.bytes` as base64 in the JSON wire format.\nexport const ImageFormat = Schema.Literals([\"png\", \"jpeg\", \"gif\", \"webp\"])\nexport type ImageFormat = Schema.Schema.Type<typeof ImageFormat>\n\nexport const ImageBlock = Schema.Struct({\n  image: Schema.Struct({\n    format: ImageFormat,\n    source: Schema.Struct({ bytes: Schema.String }),\n  }),\n})\nexport type ImageBlock = Schema.Schema.Type<typeof ImageBlock>\n\n// Bedrock document blocks require a user-facing name so the model can refer to\n// the uploaded document.\nexport const DocumentFormat = Schema.Literals([\"pdf\", \"csv\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"html\", \"txt\", \"md\"])\nexport type DocumentFormat = Schema.Schema.Type<typeof DocumentFormat>\n\nexport const DocumentBlock = Schema.Struct({\n  document: Schema.Struct({\n    format: DocumentFormat,\n    name: Schema.String,\n    source: Schema.Struct({ bytes: Schema.String }),\n  }),\n})\nexport type DocumentBlock = Schema.Schema.Type<typeof DocumentBlock>\n\nconst IMAGE_FORMATS = {\n  \"image/png\": \"png\",\n  \"image/jpeg\": \"jpeg\",\n  \"image/jpg\": \"jpeg\",\n  \"image/gif\": \"gif\",\n  \"image/webp\": \"webp\",\n} as const satisfies Record<string, ImageFormat>\n\nconst DOCUMENT_FORMATS = {\n  \"application/pdf\": \"pdf\",\n  \"text/csv\": \"csv\",\n  \"application/msword\": \"doc\",\n  \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\": \"docx\",\n  \"application/vnd.ms-excel\": \"xls\",\n  \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\": \"xlsx\",\n  \"text/html\": \"html\",\n  \"text/plain\": \"txt\",\n  \"text/markdown\": \"md\",\n} as const satisfies Record<string, DocumentFormat>\n\nconst documentBlock = (part: MediaPart, format: DocumentFormat, bytes: string): DocumentBlock => ({\n  document: {\n    format,\n    name: part.filename ?? `document.${format}`,\n    source: { bytes },\n  },\n})\n\n// Route by MIME. Known image/document formats lower into a typed block; anything\n// else fails with a clear error instead of silently degrading to a malformed\n// document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)\n// get an image-specific error so the caller knows it's a format-support issue,\n// not a kind-detection issue.\nexport const lower = Effect.fn(\"BedrockMedia.lower\")(function* (part: MediaPart) {\n  const mime = part.mediaType.toLowerCase()\n  const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]\n  if (imageFormat) {\n    const media = yield* ProviderShared.validateMedia(\n      \"Bedrock Converse\",\n      part,\n      new Set<string>(Object.keys(IMAGE_FORMATS)),\n    )\n    return { image: { format: imageFormat, source: { bytes: media.base64 } } } satisfies ImageBlock\n  }\n  if (mime.startsWith(\"image/\"))\n    return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)\n  const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]\n  if (documentFormat) {\n    const media = yield* ProviderShared.validateMedia(\n      \"Bedrock Converse\",\n      part,\n      new Set<string>(Object.keys(DOCUMENT_FORMATS)),\n    )\n    return documentBlock(part, documentFormat, media.base64)\n  }\n  return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)\n})\n\nexport * as BedrockMedia from \"./bedrock-media\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMError,\n  LLMEvent,\n  Usage,\n  type CacheHint,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type ModelToolSchemaCompatibility,\n  type ProviderMetadata,\n  type ReasoningPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolResultPart,\n} from \"../schema\"\nimport { BedrockEventStream } from \"./bedrock-event-stream\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { BedrockAuth } from \"./utils/bedrock-auth\"\nimport { BedrockCache } from \"./utils/bedrock-cache\"\nimport { BedrockMedia } from \"./utils/bedrock-media\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst BedrockTextBlock = Schema.Struct({\n  text: Schema.String,\n})\ntype BedrockTextBlock = Schema.Schema.Type<typeof BedrockTextBlock>\n\nconst BedrockToolUseBlock = Schema.Struct({\n  toolUse: Schema.Struct({\n    toolUseId: Schema.String,\n    name: Schema.String,\n    input: Schema.Unknown,\n  }),\n})\ntype BedrockToolUseBlock = Schema.Schema.Type<typeof BedrockToolUseBlock>\n\nconst BedrockToolResultContentItem = Schema.Union([\n  Schema.Struct({ text: Schema.String }),\n  Schema.Struct({ json: Schema.Unknown }),\n  BedrockMedia.ImageBlock,\n])\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.Struct({\n    reasoningText: Schema.optional(\n      Schema.Struct({\n        text: Schema.String,\n        signature: Schema.optional(Schema.String),\n      }),\n    ),\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\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            }),\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(Schema.Struct({ message: Schema.String })),\n  modelStreamErrorException: Schema.optional(Schema.Struct({ message: Schema.String })),\n  validationException: Schema.optional(Schema.Struct({ message: Schema.String })),\n  throttlingException: Schema.optional(Schema.Struct({ message: Schema.String })),\n  serviceUnavailableException: Schema.optional(Schema.Struct({ message: Schema.String })),\n})\ntype BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerToolSpec = (tool: ToolDefinition, inputSchema: JsonSchema): BedrockToolSpec => ({\n  toolSpec: {\n    name: tool.name,\n    description: tool.description,\n    inputSchema: { json: inputSchema },\n  },\n})\n\nconst lowerTools = (\n  compatibility: ModelToolSchemaCompatibility | undefined,\n  breakpoints: BedrockCache.Breakpoints,\n  tools: ReadonlyArray<ToolDefinition>,\n): BedrockTool[] => {\n  const result: BedrockTool[] = []\n  for (const tool of tools) {\n    result.push(lowerToolSpec(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, compatibility)))\n    const cachePoint = BedrockCache.block(breakpoints, tool.cache)\n    if (cachePoint) result.push(cachePoint)\n  }\n  return result\n}\n\nconst textWithCache = (\n  breakpoints: BedrockCache.Breakpoints,\n  text: string,\n  cache: CacheHint | undefined,\n): Array<BedrockTextBlock | BedrockCache.CachePointBlock> => {\n  const cachePoint = BedrockCache.block(breakpoints, cache)\n  return cachePoint ? [{ text }, cachePoint] : [{ text }]\n}\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Bedrock Converse\", toolChoice, {\n    auto: () => ({ auto: {} }) as const,\n    none: () => undefined,\n    required: () => ({ any: {} }) as const,\n    tool: (name) => ({ tool: { name } }) as const,\n  })\n\nconst bedrockMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ bedrock: metadata })\n\nconst reasoningSignature = (part: ReasoningPart) => {\n  const bedrock = part.providerMetadata?.bedrock\n  return (\n    part.encrypted ??\n    (ProviderShared.isRecord(bedrock) && typeof bedrock.signature === \"string\" ? bedrock.signature : undefined)\n  )\n}\n\nconst 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    if (!(\"image\" in media))\n      return yield* ProviderShared.invalidRequest(\"Bedrock Converse only supports image media in tool results\")\n    content.push(media)\n  }\n  return content\n})\n\nconst lowerToolResult = Effect.fn(\"BedrockConverse.lowerToolResult\")(function* (part: ToolResultPart) {\n  return {\n    toolResult: {\n      toolUseId: part.id,\n      content: yield* lowerToolResultContent(part),\n      status: part.result.type === \"error\" ? \"error\" : \"success\",\n    },\n  } satisfies BedrockToolResultBlock\n})\n\nconst lowerMessages = Effect.fn(\"BedrockConverse.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: BedrockCache.Breakpoints,\n) {\n  const messages: BedrockMessage[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Bedrock Converse\", message)\n      const content = textWithCache(breakpoints, part.text, part.cache)\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n      else messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: BedrockUserBlock[] = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"user\", [\"text\", \"media\"])\n        if (part.type === \"text\") {\n          content.push(...textWithCache(breakpoints, part.text, part.cache))\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* BedrockMedia.lower(part))\n          continue\n        }\n      }\n      messages.push({ role: \"user\", content })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const content: BedrockAssistantBlock[] = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"assistant\", [\n            \"text\",\n            \"reasoning\",\n            \"tool-call\",\n          ])\n        if (part.type === \"text\") {\n          content.push(...textWithCache(breakpoints, part.text, part.cache))\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          content.push({\n            reasoningContent: {\n              reasoningText: { text: part.text, signature: reasoningSignature(part) },\n            },\n          })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(lowerToolCall(part))\n          continue\n        }\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: BedrockUserBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"tool\", [\"tool-result\"])\n      content.push(yield* lowerToolResult(part))\n      const cachePoint = BedrockCache.block(breakpoints, part.cache)\n      if (cachePoint) content.push(cachePoint)\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\n// System prompts share the cache-point convention: emit the text block, then\n// optionally a positional `cachePoint` marker.\nconst lowerSystem = (\n  breakpoints: BedrockCache.Breakpoints,\n  system: ReadonlyArray<LLMRequest[\"system\"][number]>,\n): BedrockSystemBlock[] => system.flatMap((part) => textWithCache(breakpoints, part.text, part.cache))\n\nconst fromRequest = Effect.fn(\"BedrockConverse.fromRequest\")(function* (request: LLMRequest) {\n  const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n  const generation = request.generation\n  // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in\n  // tools → system → messages order to favour the highest-impact prefixes.\n  const breakpoints = BedrockCache.breakpoints()\n  const toolConfig =\n    request.tools.length > 0 && request.toolChoice?.type !== \"none\"\n      ? { tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools), toolChoice }\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\") return \"length\"\n  if (reason === \"tool_use\") return \"tool-calls\"\n  if (reason === \"content_filtered\" || reason === \"guardrail_intervened\") return \"content-filter\"\n  return \"unknown\"\n}\n\n// AWS Bedrock Converse reports `inputTokens` (inclusive total) with\n// `cacheReadInputTokens` and `cacheWriteInputTokens` as subsets. Pass\n// the total through and derive the non-cached breakdown. Bedrock does\n// not break reasoning out of `outputTokens` for any current model.\nconst mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const cacheTotal = (usage.cacheReadInputTokens ?? 0) + (usage.cacheWriteInputTokens ?? 0)\n  const nonCached = ProviderShared.subtractTokens(usage.inputTokens, cacheTotal)\n  return new Usage({\n    inputTokens: usage.inputTokens,\n    outputTokens: usage.outputTokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: usage.cacheReadInputTokens,\n    cacheWriteInputTokens: usage.cacheWriteInputTokens,\n    totalTokens: ProviderShared.totalTokens(usage.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: FinishReason; 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      return [\n        {\n          ...state,\n          lifecycle: reasoning.text\n            ? Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text)\n            : state.lifecycle,\n          reasoningSignatures: reasoning.signature\n            ? { ...state.reasoningSignatures, [index]: reasoning.signature }\n            : state.reasoningSignatures,\n        },\n        events,\n      ] as const\n    }\n\n    if (event.contentBlockDelta?.delta?.toolUse) {\n      const index = event.contentBlockDelta.contentBlockIndex\n      const result = ToolStream.appendExisting(\n        ADAPTER,\n        state.tools,\n        index,\n        event.contentBlockDelta.delta.toolUse.input,\n        \"Bedrock Converse tool delta is missing its tool call\",\n      )\n      if (ToolStream.isError(result)) return yield* result\n      const events: LLMEvent[] = []\n      const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n      events.push(...result.events)\n      return [{ ...state, lifecycle, tools: result.tools }, events] as const\n    }\n\n    if (event.contentBlockStop) {\n      const index = event.contentBlockStop.contentBlockIndex\n      const result = yield* ToolStream.finish(ADAPTER, state.tools, index)\n      const events: LLMEvent[] = []\n      const resultEvents = result.events ?? []\n      const lifecycle = resultEvents.length\n        ? Lifecycle.stepStart(state.lifecycle, events)\n        : Lifecycle.reasoningEnd(\n            Lifecycle.textEnd(state.lifecycle, events, `text-${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: { reason: mapFinishReason(event.messageStop.stopReason), usage: state.pendingFinish?.usage },\n        },\n        [],\n      ] as const\n    }\n\n    if (event.metadata) {\n      const usage = mapUsage(event.metadata.usage)\n      return [{ ...state, pendingFinish: { reason: state.pendingFinish?.reason ?? \"stop\", usage } }, []] as const\n    }\n\n    const exception = (\n      [\n        [\"internalServerException\", event.internalServerException],\n        [\"modelStreamErrorException\", event.modelStreamErrorException],\n        [\"serviceUnavailableException\", event.serviceUnavailableException],\n        [\"throttlingException\", event.throttlingException],\n        [\"validationException\", event.validationException],\n      ] as const\n    ).find((entry) => entry[1] !== undefined)\n    if (exception) {\n      return yield* new LLMError({\n        module: ADAPTER,\n        method: \"stream\",\n        reason: classifyProviderFailure({\n          message: exception[1]?.message ?? \"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 === \"stop\" && state.hasToolCalls ? \"tool-calls\" : state.pendingFinish.reason,\n          usage: state.pendingFinish.usage,\n        })\n        return events\n      })()\n    : []\n\n// =============================================================================\n// Protocol And Bedrock Route\n// =============================================================================\n/**\n * The Bedrock Converse protocol — request body construction, body schema, and\n * the streaming-event state machine.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: BedrockConverseBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: BedrockEvent,\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      pendingFinish: undefined,\n      hasToolCalls: false,\n      lifecycle: Lifecycle.initial(),\n      reasoningSignatures: {},\n    }),\n    step,\n    onHalt,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"bedrock\",\n  providerMetadataKey: \"bedrock\",\n  protocol,\n  // Bedrock's URL embeds the region in the route endpoint host and the\n  // validated modelId in the path. We read the validated body so the URL\n  // matches the body that gets signed.\n  endpoint: Endpoint.path<BedrockConverseBody>(\n    ({ body }) => `/model/${encodeURIComponent(body.modelId)}/converse-stream`,\n  ),\n  auth: BedrockAuth.auth,\n  framing,\n})\n\nexport const sigV4Auth = BedrockAuth.sigV4\n\nexport * as BedrockConverse from \"./bedrock-converse\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n  readonly apiKey?: string\n  readonly headers?: Record<string, string>\n  readonly credentials?: BedrockCredentials\n  /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */\n  readonly region?: string\n  /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */\n  readonly baseURL?: string\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly auth?: \"bearer\" | \"sigv4\"\n  readonly baseURL?: string\n  readonly credentials?: BedrockCredentials\n  readonly region?: string\n  readonly topP?: number\n}\nexport const routes = [BedrockConverse.route]\n\nconst bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`\n\nconst configuredRoute = (input: Config) => {\n  const { apiKey, credentials, region, baseURL, ...rest } = input\n  const resolvedRegion = region ?? credentials?.region ?? \"us-east-1\"\n  return BedrockConverse.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },\n    auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),\n  })\n}\n\nexport const configure = (input: Config = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n    throw new Error(\"Amazon Bedrock bearer auth requires apiKey\")\n  if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n    throw new Error(\"Amazon Bedrock SigV4 auth does not accept apiKey\")\n  return configure({\n    apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n    baseURL: settings.baseURL,\n    credentials: settings.credentials,\n    generation: settings.topP === undefined ? undefined : { topP: settings.topP },\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    region: settings.region,\n  }).model(modelID)\n}\n"
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-  "debugId": "FA52DCEB557ED06D64756E2164756E21",
-  "names": []
-}

bin/chunk-4ms3w3ps.js.map

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

bin/chunk-56758d3c.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/xai.ts"],
-  "sourcesContent": [
-    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type ModelOptions = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n  }\n\nexport const routes = [OpenAIResponses.route, OpenAICompatibleChat.route]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return OpenAIResponses.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nconst configuredChatRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return OpenAICompatibleChat.route.with({\n    ...rest,\n    provider: id,\n    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n    auth: auth(input),\n  })\n}\n\nexport const configure = (input: ModelOptions = {}) => {\n  const responsesRoute = configuredResponsesRoute(input)\n  const chatRoute = configuredChatRoute(input)\n  const responses = (modelID: string | ModelID) => responsesRoute.model({ id: modelID })\n  const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID })\n  return {\n    id,\n    model: responses,\n    responses,\n    chat,\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model = provider.model\nexport const responses = provider.responses\nexport const chat = provider.chat\n"
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-  "debugId": "A2B56A89F887C71064756E2164756E21",
-  "names": []
-}

bin/chunk-61pe519v.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/auth/connect.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type IntegrationCommandStatusOutput, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.auth.commands.connect,\n  Effect.fn(\"cli.auth.connect\")(function* (input) {\n    process.stdout.write(\"Connecting...\" + EOL + EOL)\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    yield* request(() => client.integration.wellknown.add({ url: input.url, location }))\n    const integrationID = input.url.replace(/\\/+$/, \"\")\n    const started = yield* request(() =>\n      client.integration.command.connect({ integrationID, methodID: \"login\", location }),\n    )\n    yield* Effect.addFinalizer(() =>\n      request(() =>\n        client.integration.command.cancel({ integrationID, attemptID: started.data.attemptID, location }),\n      ).pipe(Effect.ignore),\n    )\n\n    const status = yield* wait(client, integrationID, started.data.attemptID)\n    if (status.status === \"failed\") return yield* Effect.fail(new Error(status.message))\n    if (status.status === \"expired\") return yield* Effect.fail(new Error(\"Authentication expired\"))\n    process.stdout.write(\"Connected\" + EOL)\n  }),\n)\n\nconst wait = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n  shown = false,\n): Effect.Effect<Exclude<IntegrationCommandStatusOutput[\"data\"], { status: \"pending\" }>, unknown> =>\n  Effect.gen(function* () {\n    const response = yield* request(() => client.integration.command.status({ integrationID, attemptID, location }))\n    if (response.data.status !== \"pending\") return response.data\n    const output = response.data.message?.trim()\n    if (!shown && output) process.stdout.write(output + EOL + EOL)\n    yield* Effect.sleep(500)\n    return yield* wait(client, integrationID, attemptID, shown || !!output)\n  })\n\nfunction request<A>(task: () => Promise<A>) {\n  return Effect.tryPromise({ try: task, catch: (cause) => cause })\n}\n"
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-  "debugId": "4E0ECD0CDC5F632664756E2164756E21",
-  "names": []
-}

bin/chunk-6j24kxng.js.map

-{
-  "version": 3,
-  "sources": ["src/services/standalone.ts", "src/services/server-connection.ts"],
-  "sourcesContent": [
-    "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { CrossSpawnSpawner } from \"@opencode-ai/core/cross-spawn-spawner\"\nimport { LayerNode } from \"@opencode-ai/core/effect/layer-node\"\nimport { Deferred, Effect, Schema, Stream } from \"effect\"\nimport { ChildProcess, ChildProcessSpawner } from \"effect/unstable/process\"\nimport { randomBytes } from \"node:crypto\"\nimport { selfCommand } from \"../util/process\"\n\nconst Ready = Schema.Struct({ url: Schema.String })\nconst decodeReady = Schema.decodeUnknownPromise(Schema.fromJsonString(Ready))\n\ntype Options = {\n  readonly command?: ReadonlyArray<string>\n}\n\nfunction command(password: string, options: Options) {\n  const [executable, ...args] = options.command ?? [...selfCommand(), \"serve\"]\n  if (!executable) throw new Error(\"Failed to resolve standalone server command\")\n  return ChildProcess.make(executable, [...args, \"--stdio\", \"--port\", \"0\"], {\n    cwd: process.cwd(),\n    // Explicit entry wins over anything inherited, so a user-exported\n    // OPENCODE_PASSWORD cannot shadow the child's lease credential.\n    env: { OPENCODE_PASSWORD: password },\n    extendEnv: true,\n    // The server treats EOF on this pipe as the end of its ownership lease.\n    // The OS closes it even when the TUI is killed before Effect finalizers run.\n    stdin: \"pipe\",\n    stderr: \"ignore\",\n    killSignal: \"SIGTERM\",\n    forceKillAfter: \"3 seconds\",\n  })\n}\n\nconst makeEndpoint = Effect.fn(\"cli.standalone.endpoint\")(\n  function* (options: Options) {\n    const password = randomBytes(32).toString(\"base64url\")\n    const spawner = yield* ChildProcessSpawner.ChildProcessSpawner\n    const proc = yield* spawner.spawn(command(password, options))\n    const readyLine = yield* Deferred.make<string, Error>()\n    // Keep draining stdout after readiness so later server writes cannot hit EPIPE.\n    yield* proc.stdout.pipe(\n      Stream.decodeText(),\n      Stream.splitLines,\n      Stream.runForEach((line) => Deferred.succeed(readyLine, line)),\n      Effect.ensuring(Deferred.fail(readyLine, new Error(\"Standalone server exited before reporting readiness\"))),\n      Effect.forkScoped,\n    )\n    const output = yield* Deferred.await(readyLine)\n    const ready = yield* Effect.tryPromise(() => decodeReady(output))\n    return {\n      url: ready.url,\n      auth: { type: \"basic\" as const, username: \"opencode\", password },\n      pid: proc.pid,\n    } satisfies Endpoint & { readonly pid: number }\n  },\n  Effect.provide(LayerNode.compile(CrossSpawnSpawner.node)),\n)\n\nexport function start(options: Options = {}) {\n  return makeEndpoint(options)\n}\n\nexport * as Standalone from \"./standalone\"\n",
-    "import { Service, type Endpoint, type EnsureOptions } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, isUnauthorizedError, OpenCode } from \"@opencode-ai/client/promise\"\nimport { InstallationVersion } from \"@opencode-ai/core/installation/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 !== InstallationVersion)\n      process.stderr.write(\n        `Warning: Server at ${endpoint.url} has version ${health.version}; this client is ${InstallationVersion}. Continuing anyway.\\n`,\n      )\n    return { endpoint } satisfies Resolved\n  }\n  if (args.standalone) {\n    return { endpoint: yield* Standalone.start() } satisfies Resolved\n  }\n\n  const options = yield* ServiceConfig.options()\n  return {\n    endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, args.mismatch ?? \"replace\"),\n    service: managedService(options),\n  } satisfies Resolved\n})\n\nfunction managedService(options: EnsureOptions) {\n  const reconnectOptions = { ...options, version: undefined }\n  return {\n    reconnect: () => Service.ensure(reconnectOptions),\n    restart: () =>\n      Effect.gen(function* () {\n        yield* Service.stop(options)\n        yield* Service.ensure(reconnectOptions)\n      }),\n  }\n}\n\nconst resolveManaged = Effect.fnUntraced(function* (\n  options: EnsureOptions,\n  mismatch: NonNullable<Args[\"mismatch\"]>,\n) {\n  if (mismatch === \"replace\") return yield* Service.ensure(options)\n  if (mismatch === \"ignore\") return yield* Service.ensure({ ...options, version: undefined })\n\n  const compatible = yield* Service.discover(options)\n  if (compatible !== undefined) return compatible\n  const existing = yield* Service.discover({ ...options, version: undefined })\n  if (existing !== undefined)\n    return yield* Effect.fail(new Error(\"Background server version does not match this client\"))\n  return yield* Service.ensure(options)\n})\n\nfunction connectError(endpoint: Endpoint, cause: unknown) {\n  if (isUnauthorizedError(cause)) {\n    return new Error(\n      endpoint.auth === undefined\n        ? `Server at ${endpoint.url} requires a password; set OPENCODE_PASSWORD`\n        : `Server at ${endpoint.url} rejected the password`,\n      { cause },\n    )\n  }\n  if (cause instanceof ClientError && cause.reason === \"Transport\")\n    return new Error(`Could not reach server at ${endpoint.url}`, { cause })\n  return new Error(`Server at ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n"
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-  "debugId": "B838B96ED9949B3B64756E2164756E21",
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-}

bin/chunk-8rf8b8yd.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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-  "debugId": "FFE95A9D4E1C0FBE64756E2164756E21",
-  "names": []
-}

bin/chunk-8w9afe26.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openrouter.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport { ProviderID, type ModelID, type ProviderOptions } from \"../schema\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport { isRecord } from \"../protocols/shared\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\nexport interface OpenRouterOptions {\n  readonly [key: string]: unknown\n  readonly usage?: boolean | Record<string, unknown>\n  readonly reasoning?: Record<string, unknown>\n  readonly promptCacheKey?: string\n}\n\nexport type OpenRouterProviderOptionsInput = ProviderOptions & {\n  readonly openrouter?: OpenRouterOptions\n}\n\nexport type ModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly providerOptions?: OpenRouterProviderOptionsInput\n  }\n\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.protocol.body.from(request).pipe(\n        Effect.map(\n          (body) =>\n            ({\n              ...body,\n              ...bodyOptions(request.providerOptions?.openrouter),\n            }) as OpenRouterBody,\n        ),\n      ),\n  },\n  stream: OpenAIChat.protocol.stream,\n})\n\nconst bodyOptions = (input: unknown) => {\n  const openrouter = isRecord(input) ? input : {}\n  return {\n    ...(openrouter.usage === true\n      ? { usage: { include: true } }\n      : isRecord(openrouter.usage)\n        ? { usage: openrouter.usage }\n        : {}),\n    ...(isRecord(openrouter.reasoning) ? { reasoning: openrouter.reasoning } : {}),\n    ...(typeof openrouter.promptCacheKey === \"string\" ? { prompt_cache_key: openrouter.promptCacheKey } : {}),\n  }\n}\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: profile.provider,\n  protocol,\n  endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n  framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: ModelOptions) => {\n  const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n  return route.with({\n    ...rest,\n    endpoint: { baseURL: baseURL ?? profile.baseURL },\n    auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n  })\n}\n\nexport const configure = (input: ModelOptions = {}) => {\n  const route = configuredRoute(input)\n  return {\n    id,\n    model: (modelID: string | ModelID) => route.model({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = configure()\nexport const model = provider.model\n"
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-  "debugId": "762E1AA382F93CEA64756E2164756E21",
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bin/chunk-b1m1xekh.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/gemini.ts", "../ai/src/providers/google.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderMetadata,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolContent,\n} from \"../schema\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\n\nconst ADAPTER = \"gemini\"\nconst MEDIA_MIMES = new Set<string>(ProviderShared.MEDIA_MIMES)\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\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})\n\nconst GeminiFunctionCallPart = Schema.Struct({\n  functionCall: Schema.Struct({\n    name: Schema.String,\n    args: Schema.Unknown,\n  }),\n  thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n  functionResponse: Schema.Struct({\n    name: Schema.String,\n    response: Schema.Unknown,\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})\n\nconst GeminiGenerationConfig = Schema.Struct({\n  maxOutputTokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  topP: Schema.optional(Schema.Number),\n  topK: Schema.optional(Schema.Number),\n  stopSequences: optionalArray(Schema.String),\n  thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n  contents: Schema.Array(GeminiContent),\n  systemInstruction: Schema.optional(GeminiSystemInstruction),\n  tools: optionalArray(GeminiTool),\n  toolConfig: Schema.optional(GeminiToolConfig),\n  generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n  cachedContentTokenCount: Schema.optional(Schema.Number),\n  thoughtsTokenCount: Schema.optional(Schema.Number),\n  promptTokenCount: Schema.optional(Schema.Number),\n  candidatesTokenCount: Schema.optional(Schema.Number),\n  totalTokenCount: Schema.optional(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n  content: Schema.optional(GeminiContent),\n  finishReason: Schema.optional(Schema.String),\n})\n\nconst GeminiEvent = Schema.Struct({\n  candidates: optionalArray(GeminiCandidate),\n  usageMetadata: Schema.optional(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n  readonly finishReason?: string\n  readonly hasToolCalls: boolean\n  readonly nextToolCallId: number\n  readonly usage?: Usage\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningSignature?: string\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n//    enums (must be strings), `required` entries that don't match a property,\n//    untyped arrays (`items` must be present), and `properties`/`required`\n//    keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n//    drop empty objects, derive `nullable: true` from `type: [..., \"null\"]`,\n//    coerce `const` to `[const]` enum, recurse properties/items, propagate\n//    only an allowlisted set of keys (description, required, format, type,\n//    properties, items, allOf, anyOf, oneOf, minLength). Anything outside the\n//    allowlist (e.g. `additionalProperties`, `$ref`) is silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n  name: tool.name,\n  description: tool.description,\n  parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n    auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n    none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n    required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n    tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n  })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n  if (part.type === \"text\") return { text: part.text }\n  const media = yield* ProviderShared.validateMedia(\"Gemini\", part, MEDIA_MIMES)\n  return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n  const google = providerMetadata?.google\n  return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n    ? google.thoughtSignature\n    : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart) => ({\n  functionCall: { name: part.name, args: part.input },\n  thoughtSignature: thoughtSignature(part.providerMetadata),\n})\n\nconst lowerMessages = Effect.fn(\"Gemini.lowerMessages\")(function* (request: LLMRequest) {\n  const contents: GeminiContent[] = []\n\n  for (const message of request.messages) {\n    if (message.role === \"system\") {\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Gemini\", message)\n      const previous = contents.at(-1)\n      if (previous?.role === \"user\")\n        contents[contents.length - 1] = { role: \"user\", parts: [...previous.parts, { text: part.text }] }\n      else contents.push({ role: \"user\", parts: [{ text: part.text }] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"user\", [\"text\", \"media\"])\n        parts.push(yield* lowerUserPart(part))\n      }\n      contents.push({ role: \"user\", parts })\n      continue\n    }\n\n    if (message.role === \"assistant\") {\n      const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n      for (const part of message.content) {\n        if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n          return yield* ProviderShared.unsupportedContent(\"Gemini\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n        if (part.type === \"text\") {\n          parts.push({ text: part.text })\n          continue\n        }\n        if (part.type === \"reasoning\") {\n          parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          parts.push(lowerToolCall(part))\n          continue\n        }\n      }\n      contents.push({ role: \"model\", parts })\n      continue\n    }\n\n    const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n      if (part.result.type !== \"content\") {\n        parts.push({\n          functionResponse: {\n            name: part.name,\n            response: {\n              name: part.name,\n              content: ProviderShared.toolResultText(part),\n            },\n          },\n        })\n        continue\n      }\n      const content: ReadonlyArray<ToolContent> = part.result.value\n      const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n      parts.push({\n        functionResponse: {\n          name: part.name,\n          response: {\n            name: part.name,\n            content: text.join(\"\\n\"),\n          },\n        },\n      })\n      for (const item of content) {\n        if (item.type === \"text\") continue\n        const media = yield* ProviderShared.validateToolFile(\"Gemini\", item, MEDIA_MIMES)\n        parts.push({ inlineData: { mimeType: media.mime, data: media.base64 } })\n      }\n    }\n    contents.push({ role: \"user\", parts })\n  }\n\n  return contents\n})\n\nconst geminiOptions = (request: LLMRequest) => request.providerOptions?.gemini\n\nconst thinkingConfig = (request: LLMRequest) => {\n  const value = geminiOptions(request)?.thinkingConfig\n  if (!ProviderShared.isRecord(value)) return undefined\n  const result = {\n    thinkingBudget: typeof value.thinkingBudget === \"number\" ? value.thinkingBudget : undefined,\n    includeThoughts: typeof value.includeThoughts === \"boolean\" ? value.includeThoughts : undefined,\n  }\n  return Object.values(result).some((item) => item !== undefined) ? result : undefined\n}\n\nconst fromRequest = Effect.fn(\"Gemini.fromRequest\")(function* (request: LLMRequest) {\n  const toolsEnabled = request.tools.length > 0 && request.toolChoice?.type !== \"none\"\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const generationConfig = {\n    maxOutputTokens: generation?.maxTokens,\n    temperature: generation?.temperature,\n    topP: generation?.topP,\n    topK: generation?.topK,\n    stopSequences: generation?.stop,\n    thinkingConfig: thinkingConfig(request),\n  }\n\n  return {\n    contents: yield* lowerMessages(request),\n    systemInstruction:\n      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },\n    tools: toolsEnabled\n      ? [\n          {\n            functionDeclarations: request.tools.map((tool) =>\n              lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n            ),\n          },\n        ]\n      : undefined,\n    toolConfig: toolsEnabled && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,\n    generationConfig: Object.values(generationConfig).some((value) => value !== undefined)\n      ? generationConfig\n      : undefined,\n  }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Gemini reports `promptTokenCount` (inclusive total) with a\n// `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*\n// of `thoughtsTokenCount` — visible-only, not a total — so we sum the two\n// to produce the inclusive `outputTokens` the rest of the contract expects.\nconst mapUsage = (usage: GeminiUsage | undefined) => {\n  if (!usage) return undefined\n  const cached = usage.cachedContentTokenCount\n  const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached)\n  // `candidatesTokenCount` is visible-only; sum with thoughts to produce the\n  // inclusive `outputTokens` the contract expects. Only compute the total\n  // when the visible component is reported — otherwise we'd fabricate an\n  // inclusive number from a partial breakdown.\n  const outputTokens =\n    usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined\n  return new Usage({\n    inputTokens: usage.promptTokenCount,\n    outputTokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    reasoningTokens: usage.thoughtsTokenCount,\n    totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n    providerMetadata: { google: usage },\n  })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n  if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n  if (finishReason === \"MAX_TOKENS\") return \"length\"\n  if (\n    finishReason === \"IMAGE_SAFETY\" ||\n    finishReason === \"RECITATION\" ||\n    finishReason === \"SAFETY\" ||\n    finishReason === \"BLOCKLIST\" ||\n    finishReason === \"PROHIBITED_CONTENT\" ||\n    finishReason === \"SPII\"\n  )\n    return \"content-filter\"\n  if (finishReason === \"MALFORMED_FUNCTION_CALL\") return \"error\"\n  return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> =>\n  state.finishReason || state.usage\n    ? (() => {\n        const events: LLMEvent[] = []\n        const lifecycle = state.reasoningSignature\n          ? Lifecycle.reasoningEnd(\n              state.lifecycle,\n              events,\n              \"reasoning-0\",\n              googleMetadata({ thoughtSignature: state.reasoningSignature }),\n            )\n          : state.lifecycle\n        Lifecycle.finish(lifecycle, events, {\n          reason: mapFinishReason(state.finishReason, state.hasToolCalls),\n          usage: state.usage,\n        })\n        return events\n      })()\n    : []\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n  const nextState = {\n    ...state,\n    usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n  }\n  const candidate = event.candidates?.[0]\n  if (!candidate?.content)\n    return Effect.succeed([\n      { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n      [],\n    ] as const)\n\n  const events: LLMEvent[] = []\n  let hasToolCalls = nextState.hasToolCalls\n  let lifecycle = nextState.lifecycle\n  let nextToolCallId = nextState.nextToolCallId\n  let reasoningSignature = nextState.reasoningSignature\n\n  for (const part of candidate.content.parts) {\n    if (\"thoughtSignature\" in part && part.thoughtSignature && \"thought\" in part && part.thought)\n      reasoningSignature = part.thoughtSignature\n    if (\"text\" in part && part.text.length > 0) {\n      if (part.thought) {\n        lifecycle = Lifecycle.reasoningDelta(\n          lifecycle,\n          events,\n          \"reasoning-0\",\n          part.text,\n          part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n        )\n        continue\n      }\n      lifecycle = Lifecycle.reasoningEnd(\n        lifecycle,\n        events,\n        \"reasoning-0\",\n        reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n      )\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", part.text)\n      continue\n    }\n\n    if (\"functionCall\" in part) {\n      const input = part.functionCall.args\n      const id = `tool_${nextToolCallId++}`\n      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: part.thoughtSignature\n            ? googleMetadata({ thoughtSignature: part.thoughtSignature })\n            : undefined,\n        }),\n      )\n      hasToolCalls = true\n    }\n  }\n\n  return Effect.succeed([\n    {\n      ...nextState,\n      hasToolCalls,\n      lifecycle,\n      nextToolCallId,\n      reasoningSignature,\n      finishReason: candidate.finishReason ?? nextState.finishReason,\n    },\n    events,\n  ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine. Used by Google AI Studio Gemini and (once\n * registered) Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: GeminiBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(GeminiEvent),\n    initial: () => ({ hasToolCalls: false, nextToolCallId: 0, lifecycle: Lifecycle.initial() }),\n    step,\n    onHalt: finish,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"google\",\n  providerMetadataKey: \"google\",\n  protocol,\n  // Gemini's path embeds the model id and pins SSE framing at the URL level.\n  endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n    baseURL: DEFAULT_BASE_URL,\n  }),\n  auth: Auth.none,\n  framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID, type ProviderOptions } from \"../schema\"\nimport * as Gemini from \"../protocols/gemini\"\n\nexport const id = ProviderID.make(\"google\")\n\nexport const routes = [Gemini.route]\n\nexport type Config = RouteDefaultsInput & ProviderAuthOption<\"optional\"> & { readonly baseURL?: string }\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly providerOptions?: ProviderOptions\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  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  configure({\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n  }).model(modelID)\n"
-  ],
-  "mappings": 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-}

bin/chunk-b65v7zb9.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 } from \"effect/unstable/http\"\nimport {\n  ImageModel,\n  GeneratedImage,\n  ImageResponse,\n  type ImageRequest,\n  type ImageModelDefaults,\n  type ImageRoute,\n} from \"../image\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth\"\nimport { InvalidProviderOutputReason, LLMError, Usage, mergeHttpOptions, mergeJsonRecords } from \"../schema\"\nimport { ProviderShared } from \"./shared\"\nimport { OpenAIImage } from \"./utils/openai-image\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\n\nexport interface OpenAIImageOptions {\n  readonly quality?: \"auto\" | \"low\" | \"medium\" | \"high\"\n  readonly background?: \"auto\" | \"opaque\" | \"transparent\"\n  readonly moderation?: \"auto\" | \"low\"\n  readonly outputFormat?: \"png\" | \"jpeg\" | \"webp\"\n  readonly outputCompression?: number\n}\n\nconst OpenAIImageBody = Schema.Struct({\n  model: Schema.String,\n  prompt: Schema.String,\n  n: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),\n  size: Schema.optional(Schema.String),\n  quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n  background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n  moderation: Schema.optional(Schema.Literals([\"auto\", \"low\"])),\n  output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n  output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n})\nexport type OpenAIImageBody = Schema.Schema.Type<typeof OpenAIImageBody>\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 defaults?: ImageModelDefaults\n}\n\nconst providerOptions = (request: ImageRequest): OpenAIImageOptions => ({\n  ...request.model.defaults?.providerOptions?.openai,\n  ...request.providerOptions?.openai,\n})\n\nconst body = (request: ImageRequest): OpenAIImageBody => {\n  const options = providerOptions(request)\n  return {\n    model: request.model.id,\n    prompt: request.prompt,\n    n: request.count,\n    size: request.size === undefined ? undefined : `${request.size.width}x${request.size.height}`,\n    quality: options.quality,\n    background: options.background,\n    moderation: options.moderation,\n    output_format: options.outputFormat,\n    output_compression: options.outputCompression,\n  }\n}\n\nconst invalidOutput = (message: string) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"generate\",\n    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n  })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n  if (!query) return url\n  const next = new URL(url)\n  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n  return next.toString()\n}\n\nconst PROTOCOL_BODY_FIELDS = new Set([\n  \"model\",\n  \"prompt\",\n  \"n\",\n  \"size\",\n  \"quality\",\n  \"background\",\n  \"moderation\",\n  \"output_format\",\n  \"output_compression\",\n])\n\nconst bodyWithOverlay = Effect.fn(\"OpenAIImages.bodyWithOverlay\")(function* (\n  imageBody: OpenAIImageBody,\n  overlay: Record<string, unknown> | undefined,\n) {\n  if (!overlay) return imageBody\n  const reserved = Object.keys(overlay).filter((key) => PROTOCOL_BODY_FIELDS.has(key))\n  if (reserved.length > 0)\n    return yield* ProviderShared.invalidRequest(\n      `http.body cannot overlay protocol-owned field(s): ${reserved.join(\", \")}`,\n    )\n  return mergeJsonRecords(imageBody, overlay) ?? imageBody\n})\n\nexport const model = (input: ModelInput) => {\n  const route: ImageRoute = {\n    id: ADAPTER,\n    generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequest, execute) {\n      if (request.aspectRatio !== undefined)\n        return yield* ProviderShared.invalidRequest(\"OpenAI Images does not support the common aspectRatio option\")\n      if (request.seed !== undefined)\n        return yield* ProviderShared.invalidRequest(\"OpenAI Images does not support the common seed option\")\n\n      const requestBody = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIImageBody))(body(request))\n      const http = mergeHttpOptions(request.model.defaults?.http, request.http)\n      const overlaidBody = yield* bodyWithOverlay(requestBody, http?.body)\n      const text = ProviderShared.encodeJson(overlaidBody)\n      const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${PATH}`, http?.query)\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 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 format = decoded.output_format ?? providerOptions(request).outputFormat ?? \"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  }\n  return ImageModel.make({ id: input.id, provider: \"openai\", route, defaults: input.defaults })\n}\n\nexport const OpenAIImages = {\n  model,\n} as const\n",
-    "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\nimport { OpenAIImages, type OpenAIImageOptions } from \"../protocols/openai-images\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIResponses.webSocketRoute, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly baseURL?: string\n    readonly queryParams?: Record<string, string>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n    readonly image?: ImageConfig\n  }\n\nexport interface ImageConfig {\n  readonly providerOptions?: OpenAIImageOptions\n}\n\nexport interface ImageGenerationOptions {\n  readonly action?: \"auto\" | \"generate\" | \"edit\"\n  readonly background?: \"auto\" | \"opaque\" | \"transparent\"\n  readonly inputFidelity?: \"low\" | \"high\"\n  readonly outputCompression?: number\n  readonly outputFormat?: \"png\" | \"jpeg\" | \"webp\"\n  readonly partialImages?: number\n  readonly quality?: \"auto\" | \"low\" | \"medium\" | \"high\"\n  readonly size?: string\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n  ToolDefinition.make({\n    name: \"image_generation\",\n    description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n    inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n    native: {\n      openai: {\n        type: \"image_generation\",\n        action: options.action,\n        background: options.background,\n        input_fidelity: options.inputFidelity,\n        output_compression: options.outputCompression,\n        output_format: options.outputFormat,\n        partial_images: options.partialImages,\n        quality: options.quality,\n        size: options.size,\n      },\n    },\n  })\n\nexport interface Settings extends ProviderPackage.Settings {\n  readonly apiKey?: string\n  readonly baseURL?: string\n  readonly organization?: string\n  readonly project?: string\n  readonly queryParams?: Readonly<Record<string, string>>\n  readonly transport?: \"http\" | \"websocket\"\n  readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, image: _image, ...rest } = input\n  return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: { baseURL: input.baseURL, query: input.queryParams },\n  })\n\nexport const configure = (input: Config = {}) => {\n  const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n  const responsesWebSocketRoute = configuredRoute(OpenAIResponses.webSocketRoute, input)\n  const chatRoute = configuredRoute(OpenAIChat.route, input)\n  const modelDefaults = defaults(input)\n  const responses = (id: string | ModelID) =>\n    responsesRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })\n  const responsesWebSocket = (id: string | ModelID) =>\n    responsesWebSocketRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })\n  const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ 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      defaults: {\n        providerOptions:\n          input.image?.providerOptions === undefined ? undefined : { openai: { ...input.image.providerOptions } },\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\n  return {\n    id,\n    model: responses,\n    responses,\n    responsesWebSocket,\n    chat,\n    image,\n    configure,\n  }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n  const headers = {\n    ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n    ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n    ...settings.headers,\n  }\n  return {\n    apiKey: settings.apiKey,\n    baseURL: settings.baseURL,\n    headers: Object.keys(headers).length === 0 ? undefined : headers,\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n}\n\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  const configured = configure(config(settings))\n  if (settings.transport === undefined || settings.transport === \"http\") return configured.responses(modelID)\n  if (settings.transport === \"websocket\") return configured.responsesWebSocket(modelID)\n  throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) =>\n  configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const responsesWebSocket = provider.responsesWebSocket\nexport const chat = provider.chat\nexport const image = provider.image\n"
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bin/chunk-bfdvaqc3.js.map

-{
-  "version": 3,
-  "sources": ["../core/src/process.ts"],
-  "sourcesContent": [
-    "import { Context, Duration, Effect, Fiber, Layer, Schema, Stream } from \"effect\"\nimport type { PlatformError } from \"effect/PlatformError\"\nimport { ChildProcess } from \"effect/unstable/process\"\nimport { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport { CrossSpawnSpawner } from \"./cross-spawn-spawner\"\nimport { makeGlobalNode } from \"./effect/app-node\"\n\nexport class AppProcessError extends Schema.TaggedErrorClass<AppProcessError>()(\"AppProcessError\", {\n  command: Schema.String,\n  exitCode: Schema.optional(Schema.Number),\n  stderr: Schema.optional(Schema.String),\n  cause: Schema.optional(Schema.Defect()),\n}) {\n  override get message() {\n    const detail =\n      this.stderr?.trim() || (this.cause instanceof Error ? this.cause.message : this.cause && String(this.cause))\n    const status = this.exitCode === undefined ? \"\" : ` (exit ${this.exitCode})`\n    return `Command failed${status}: ${this.command}${detail ? `: ${detail}` : \"\"}`\n  }\n}\n\nexport interface RunOptions {\n  readonly combineOutput?: boolean\n  readonly maxOutputBytes?: number\n  readonly maxErrorBytes?: number\n  readonly signal?: AbortSignal\n  readonly timeout?: Duration.Input\n  readonly stdin?: string | Uint8Array | Stream.Stream<Uint8Array, PlatformError>\n}\n\nexport interface RunStreamOptions {\n  readonly signal?: AbortSignal\n  readonly includeStderr?: boolean\n  readonly okExitCodes?: ReadonlyArray<number>\n  readonly maxErrorBytes?: number\n}\n\nexport interface RunResult {\n  readonly command: string\n  readonly exitCode: number\n  readonly output?: Buffer\n  readonly stdout: Buffer\n  readonly stderr: Buffer\n  readonly outputTruncated?: boolean\n  readonly stdoutTruncated: boolean\n  readonly stderrTruncated: boolean\n}\n\nexport type Interface = ChildProcessSpawner[\"Service\"] & {\n  readonly run: (command: ChildProcess.Command, options?: RunOptions) => Effect.Effect<RunResult, AppProcessError>\n  readonly runStream: (\n    command: ChildProcess.Command,\n    options?: RunStreamOptions,\n  ) => Stream.Stream<string, AppProcessError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/AppProcess\") {}\n\nexport const requireSuccess = (result: RunResult): Effect.Effect<RunResult, AppProcessError> =>\n  result.exitCode === 0\n    ? Effect.succeed(result)\n    : Effect.fail(\n        new AppProcessError({\n          command: result.command,\n          exitCode: result.exitCode,\n          stderr: result.stderr.toString(\"utf8\"),\n        }),\n      )\n\nexport const requireExitIn =\n  (codes: ReadonlyArray<number>) =>\n  (result: RunResult): Effect.Effect<RunResult, AppProcessError> =>\n    codes.includes(result.exitCode)\n      ? Effect.succeed(result)\n      : Effect.fail(\n          new AppProcessError({\n            command: result.command,\n            exitCode: result.exitCode,\n            stderr: result.stderr.toString(\"utf8\"),\n          }),\n        )\n\nconst describeCommand = (command: ChildProcess.Command): string => {\n  if (command._tag === \"StandardCommand\") {\n    return command.args.length ? `${command.command} ${command.args.join(\" \")}` : command.command\n  }\n  return `${describeCommand(command.left)} | ${describeCommand(command.right)}`\n}\n\nconst wrapError = (description: string, cause: unknown): AppProcessError =>\n  cause instanceof AppProcessError ? cause : new AppProcessError({ command: description, cause })\n\nexport const abortError = (signal: AbortSignal): Error => {\n  const reason = signal.reason\n  if (reason instanceof Error) return reason\n  const err = new Error(\"Aborted\")\n  err.name = \"AbortError\"\n  return err\n}\n\nexport const waitForAbort = (signal: AbortSignal) =>\n  Effect.callback<never, Error>((resume) => {\n    if (signal.aborted) {\n      resume(Effect.fail(abortError(signal)))\n      return\n    }\n    const onabort = () => resume(Effect.fail(abortError(signal)))\n    signal.addEventListener(\"abort\", onabort, { once: true })\n    return Effect.sync(() => signal.removeEventListener(\"abort\", onabort))\n  })\n\nconst normalizeStdin = (\n  input: string | Uint8Array | Stream.Stream<Uint8Array, PlatformError>,\n): Stream.Stream<Uint8Array, PlatformError> =>\n  typeof input === \"string\"\n    ? Stream.make(new TextEncoder().encode(input))\n    : input instanceof Uint8Array\n      ? Stream.make(input)\n      : input\n\nexport const collectStream = (stream: Stream.Stream<Uint8Array, PlatformError>, maxOutputBytes: number | undefined) =>\n  Stream.runFold(\n    stream,\n    () => ({ chunks: [] as Uint8Array[], bytes: 0, truncated: false }),\n    (acc, chunk) => {\n      if (maxOutputBytes === undefined) {\n        acc.chunks.push(chunk)\n        acc.bytes += chunk.length\n        return acc\n      }\n      const remaining = maxOutputBytes - acc.bytes\n      if (remaining > 0) acc.chunks.push(remaining >= chunk.length ? chunk : chunk.slice(0, remaining))\n      acc.bytes += chunk.length\n      acc.truncated = acc.truncated || acc.bytes > maxOutputBytes\n      return acc\n    },\n  ).pipe(Effect.map((x) => ({ buffer: Buffer.concat(x.chunks), truncated: x.truncated })))\n\nconst layer = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const spawner = yield* ChildProcessSpawner\n\n    const runCommand = (command: ChildProcess.Command, options?: RunOptions) => {\n      const description = describeCommand(command)\n      const collect = Effect.scoped(\n        Effect.gen(function* () {\n          const handle = yield* spawner.spawn(command)\n          if (options?.combineOutput) {\n            const [output, exitCode] = yield* Effect.all(\n              [collectStream(handle.all, options.maxOutputBytes), handle.exitCode],\n              { concurrency: \"unbounded\" },\n            )\n            return {\n              command: description,\n              exitCode,\n              output: output.buffer,\n              stdout: Buffer.alloc(0),\n              stderr: Buffer.alloc(0),\n              outputTruncated: output.truncated,\n              stdoutTruncated: false,\n              stderrTruncated: false,\n            } satisfies RunResult\n          }\n          const [stdout, stderr, exitCode] = yield* Effect.all(\n            [\n              collectStream(handle.stdout, options?.maxOutputBytes),\n              collectStream(handle.stderr, options?.maxErrorBytes),\n              handle.exitCode,\n            ],\n            { concurrency: \"unbounded\" },\n          )\n          return {\n            command: description,\n            exitCode,\n            stdout: stdout.buffer,\n            stderr: stderr.buffer,\n            stdoutTruncated: stdout.truncated,\n            stderrTruncated: stderr.truncated,\n          } satisfies RunResult\n        }),\n      )\n      const timed = options?.timeout\n        ? Effect.timeoutOrElse(collect, {\n            duration: options.timeout,\n            orElse: () => Effect.fail(new AppProcessError({ command: description, cause: new Error(\"Timed out\") })),\n          })\n        : collect\n      const aborted = options?.signal\n        ? timed.pipe(\n            Effect.raceFirst(\n              waitForAbort(options.signal).pipe(Effect.mapError((cause) => wrapError(description, cause))),\n            ),\n          )\n        : timed\n      return aborted.pipe(Effect.catch((cause) => Effect.fail(wrapError(description, cause))))\n    }\n\n    const run = Effect.fn(\"AppProcess.run\")(function* (command: ChildProcess.Command, options?: RunOptions) {\n      if (options?.stdin === undefined) return yield* runCommand(command, options)\n      if (command._tag !== \"StandardCommand\") {\n        return yield* new AppProcessError({\n          command: describeCommand(command),\n          cause: new Error(\"stdin option only supports StandardCommand; received PipedCommand\"),\n        })\n      }\n      const next = ChildProcess.make(command.command, command.args, {\n        ...command.options,\n        stdin: normalizeStdin(options.stdin),\n      })\n      return yield* runCommand(next, options)\n    })\n\n    const runStream = (\n      command: ChildProcess.Command,\n      options?: RunStreamOptions,\n    ): Stream.Stream<string, AppProcessError> => {\n      const description = describeCommand(command)\n      const okExitCodes = options?.okExitCodes\n      const built: Stream.Stream<string, AppProcessError | PlatformError> = Stream.unwrap(\n        Effect.gen(function* () {\n          const handle = yield* spawner.spawn(command)\n          const stderrFiber = yield* Effect.forkScoped(\n            collectStream(handle.stderr, options?.maxErrorBytes).pipe(Effect.map((x) => x.buffer.toString(\"utf8\"))),\n          )\n          const source = options?.includeStderr === true ? handle.all : handle.stdout\n          const lines = source.pipe(\n            Stream.decodeText,\n            Stream.splitLines,\n            Stream.filter((line) => line.length > 0),\n          )\n          const tail = Stream.unwrap(\n            Effect.gen(function* () {\n              const code = yield* handle.exitCode\n              if (okExitCodes && okExitCodes.length > 0 && !okExitCodes.includes(code)) {\n                const stderr = yield* Fiber.join(stderrFiber)\n                return Stream.fail(new AppProcessError({ command: description, exitCode: code, stderr }))\n              }\n              return Stream.empty\n            }),\n          )\n          return Stream.concat(lines, tail) as Stream.Stream<string, AppProcessError | PlatformError>\n        }),\n      )\n      const mapped = built.pipe(\n        Stream.catch((cause): Stream.Stream<string, AppProcessError> => Stream.fail(wrapError(description, cause))),\n      )\n      if (!options?.signal) return mapped\n      const signal = options.signal\n      return mapped.pipe(\n        Stream.interruptWhen(waitForAbort(signal).pipe(Effect.mapError((cause) => wrapError(description, cause)))),\n      )\n    }\n\n    return Service.of({ ...spawner, run, runStream })\n  }),\n)\n\nexport const node = makeGlobalNode({ service: Service, layer: layer, deps: [CrossSpawnSpawner.node] })\n\nexport * as AppProcess from \"./process\"\n"
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-  "debugId": "8FBFD3CAC045740B64756E2164756E21",
-  "names": []
-}

bin/chunk-cf6xan7h.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/set.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.set,\n  Effect.fn(\"cli.service.set\")(function* (input) {\n    yield* ServiceConfig.set(input.key, input.value)\n  }),\n)\n"
-  ],
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-  "debugId": "E883190B7E53E4C864756E2164756E21",
-  "names": []
-}

bin/chunk-d0hgaagn.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/auth.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport {\n  OpenCode,\n  type IntegrationAttemptStatus,\n  type IntegrationOAuthMethod,\n  type OpenCodeClient,\n} from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.auth,\n  Effect.fn(\"cli.mcp.auth\")(function* (input) {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n    const integration = yield* resolveIntegration(client, input.name, location)\n    if (!integration)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n    const method = integration.methods.find(\n      (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n    )\n    if (!method)\n      return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n    const started = yield* Effect.promise(() =>\n      client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, inputs: {}, location }),\n    )\n    const attempt = started.data\n    if (attempt.mode === \"code\")\n      return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n    process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n    const result = yield* poll(client, integration.id, attempt.attemptID)\n    if (result.status === \"complete\") {\n      process.stdout.write(`Authenticated with ${input.name}` + EOL)\n      return\n    }\n    const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n    return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n  }),\n)\n\nconst poll = (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n  Effect.gen(function* () {\n    const status = yield* Effect.promise(() =>\n      client.integration.oauth.status({ integrationID, attemptID, location }),\n    ).pipe(Effect.map((result) => result.data))\n    if (status.status === \"pending\") {\n      yield* Effect.sleep(\"1 second\")\n      return yield* poll(client, integrationID, attemptID)\n    }\n    return status\n  })\n"
-  ],
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bin/chunk-dh15kz89.js.map

-{
-  "version": 3,
-  "sources": ["src/services/service-config.ts", "src/util/process.ts"],
-  "sourcesContent": [
-    "import { Global } from \"@opencode-ai/core/global\"\nimport { InstallationChannel, InstallationVersion } from \"@opencode-ai/core/installation/version\"\nimport { Hash } from \"@opencode-ai/core/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n  hostname: Schema.optional(Schema.String),\n  port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n  password: Schema.optional(Schema.String),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = InstallationChannel) {\n  if (channel === \"latest\") return \"service.json\"\n  if (channel === \"local\") return \"service-local.json\"\n  return `service-${Hash.fast(channel)}.json`\n}\n\nexport function defaultPort(channel = InstallationChannel) {\n  if (channel === \"latest\") return 0xc0de\n  if (channel === \"local\") return 0xc0df\n  return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function versionBelongsToChannel(\n  version: string | undefined,\n  channel = InstallationChannel,\n  installedVersion = InstallationVersion,\n) {\n  if (version === undefined) return false\n  if (version === installedVersion) return true\n  const prefix = `0.0.0-${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 = InstallationChannel,\n  installedVersion = InstallationVersion,\n) {\n  if (channel === \"latest\" || channel === \"local\") return\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\nfunction configKey(key: string): Key {\n  if (key === \"hostname\" || key === \"port\" || key === \"password\") return key\n  throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n  const fs = yield* FileSystem.FileSystem\n  const global = yield* Global.Service\n  const name = filename()\n  const file = path.join(global.state, name)\n  return {\n    fs,\n    file,\n    legacyFile: path.join(global.state, \"service.json\"),\n    configFile: path.join(global.config, name),\n  }\n})\n\nexport const options = Effect.fnUntraced(function* () {\n  const { file, legacyFile } = yield* paths\n  yield* migrateRegistration(legacyFile, file)\n  return {\n    file,\n    version: InstallationVersion,\n    command: [...selfCommand(), \"serve\", \"--service\"],\n  }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n  const { fs, configFile } = yield* paths\n  return yield* fs.readFileString(configFile).pipe(\n    Effect.flatMap(decodeInfo),\n    Effect.catch(() => Effect.succeed({} as Info)),\n  )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n  const { fs, configFile } = yield* paths\n  const temp = configFile + \".tmp\"\n  yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n  yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n  yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n  const existing = yield* read()\n  if (value === undefined && existing.password) return existing.password\n  const next = value ?? randomBytes(32).toString(\"base64url\")\n\n  // Keep one private credential across server restarts so discovered clients\n  // can reconnect without exposing a password flag or environment variable.\n  yield* write({ ...existing, password: next })\n  return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string) {\n  if (key === undefined) {\n    const { password: _password, ...safe } = yield* read()\n    return JSON.stringify(safe, null, 2)\n  }\n  switch (configKey(key)) {\n    case \"hostname\": {\n      return (yield* read()).hostname ?? \"\"\n    }\n    case \"port\": {\n      const port = (yield* read()).port\n      return port === undefined ? \"\" : String(port)\n    }\n    case \"password\": {\n      return yield* password()\n    }\n  }\n  throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), hostname: value })\n      return\n    }\n    case \"port\": {\n      const port = Number(value)\n      if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n      yield* Service.stop(yield* options())\n      yield* write({ ...(yield* read()), port })\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      yield* password(value)\n      return\n    }\n  }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string) {\n  switch (configKey(key)) {\n    case \"hostname\": {\n      yield* Service.stop(yield* options())\n      const { hostname: _hostname, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"port\": {\n      yield* Service.stop(yield* options())\n      const { port: _port, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n    case \"password\": {\n      yield* Service.stop(yield* options())\n      const { password: _password, ...next } = yield* read()\n      yield* write(next)\n      return\n    }\n  }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n",
-    "import path from \"node:path\"\n\nexport function selfCommand() {\n  const runtime = path.basename(process.execPath, path.extname(process.execPath)).toLowerCase()\n  if (runtime !== \"bun\" && runtime !== \"node\" && runtime !== \"nodejs\") return [process.execPath]\n  if (!process.argv[1]) throw new Error(\"Failed to resolve CLI entrypoint\")\n  if (runtime === \"node\" || runtime === \"nodejs\") return [process.execPath, ...nodeFlags(), process.argv[1]]\n  return [process.execPath, process.argv[1]]\n}\n\nfunction nodeFlags() {\n  return process.execArgv.flatMap((arg, index, args) => {\n    if (index > 0 && args[index - 1] === \"--conditions\") return []\n    if (arg === \"--conditions\") return args[index + 1] ? [arg, args[index + 1]] : []\n    if (arg.startsWith(\"--conditions=\")) return [arg]\n    if (\n      arg === \"--experimental-ffi\" ||\n      arg === \"--use-system-ca\" ||\n      arg === \"--enable-source-maps\" ||\n      arg === \"--no-addons\"\n    )\n      return [arg]\n    if (arg === \"--no-warnings\" || arg.startsWith(\"--disable-warning=\")) return [arg]\n    return []\n  })\n}\n"
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-  "debugId": "5E270CFBE915E69C64756E2164756E21",
-  "names": []
-}

bin/chunk-eb79ghen.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "680F4F33C0F25EFC64756E2164756E21",
-  "names": []
-}

bin/chunk-ej9w1yrp.js.map

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

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

bin/chunk-f22k2sdf.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/openai-options.ts"],
-  "sourcesContent": [
-    "import type { ProviderOptions, ReasoningEffort, TextVerbosity } from \"../schema\"\nimport { mergeProviderOptions } from \"../schema\"\nimport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options\"\n\nexport interface OpenAIOptionsInput {\n  readonly [key: string]: unknown\n  readonly store?: boolean\n  readonly promptCacheKey?: string\n  readonly reasoningEffort?: ReasoningEffort\n  readonly reasoningSummary?: \"auto\"\n  // OpenAI Responses `include` wire field. Mirrors the official SDK's\n  // `ResponseIncludable[]` union exactly so AI SDK callers and direct\n  // native-SDK callers share one shape and no translation is required.\n  readonly include?: ReadonlyArray<OpenAIResponseIncludable>\n  readonly textVerbosity?: TextVerbosity\n  readonly serviceTier?: OpenAIServiceTier\n}\n\nexport type OpenAIProviderOptionsInput = ProviderOptions & {\n  readonly openai?: OpenAIOptionsInput\n}\n\nconst definedEntries = (input: Record<string, unknown>) =>\n  Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n  const openai = Object.fromEntries(\n    definedEntries({\n      store: options?.store,\n      promptCacheKey: options?.promptCacheKey,\n      reasoningEffort: options?.reasoningEffort,\n      reasoningSummary: options?.reasoningSummary,\n      include: options?.include,\n      textVerbosity: options?.textVerbosity,\n      serviceTier: options?.serviceTier,\n    }),\n  )\n  if (Object.keys(openai).length === 0) return undefined\n  return { openai }\n}\n\nexport const gpt5DefaultOptions = (\n  modelID: string,\n  options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n  const id = modelID.toLowerCase()\n  if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n  return openAIProviderOptions({\n    reasoningEffort: \"medium\",\n    reasoningSummary: \"auto\",\n    // GPT-5 reasoning models are configured stateless (`store: false`) by\n    // `openAIDefaultOptions` below, so the only way a follow-up turn can\n    // carry reasoning state is via the encrypted reasoning include. Without\n    // this, callers using the default model facade get reasoning summaries\n    // they cannot replay statelessly.\n    include: [\"reasoning.encrypted_content\"],\n    textVerbosity:\n      options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n        ? \"low\"\n        : undefined,\n  })\n}\n\nexport const openAIDefaultOptions = (\n  modelID: string,\n  options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n  mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n  modelID: string,\n  options: Options,\n  defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n  return {\n    ...options,\n    providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n  }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options\"\n"
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-  "sources": ["../core/src/plugin/sdk.ts", "../plugin/src/v2/effect/tool.ts", "../plugin/src/v2/effect/plugin.ts", "../schema/src/session.ts", "../schema/src/command.ts", "../schema/src/reference.ts"],
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-    "export * as SdkPlugins from \"./sdk\"\n\nimport type { Plugin } from \"@opencode-ai/plugin/v2/effect/plugin\"\nimport { Context, Effect, Layer } from \"effect\"\nimport { makeGlobalNode } from \"../effect/app-node\"\nimport { EventV2 } from \"../event\"\nimport type { PluginV2 } from \"../plugin\"\n\nexport const Updated = EventV2.ephemeral({ type: \"sdk.plugin.updated\", schema: {} })\n\n/**\n * Holds the plugins an embedder (the `@opencode-ai/sdk-next` host) contributes,\n * so `PluginSupervisor` can add them on every Location boot through the ordinary\n * generation path that `PluginSupervisor` uses for plugins discovered from\n * config. Registration publishes an unlocated update so every booted Location\n * reloads its plugin generation from the shared store.\n *\n * Each host-global layer owns one private store. Location graphs reuse that\n * layer through Effect's memoization, so separate hosts remain isolated while\n * every Location in one host sees the same registrations.\n */\nexport interface Interface {\n  readonly register: (plugin: Plugin) => Effect.Effect<void>\n  readonly all: () => readonly PluginV2.Versioned[]\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/SdkPlugins\") {}\n\nexport const layer = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const events = yield* EventV2.Service\n    const plugins = new Map<string, PluginV2.Versioned>()\n    let revision = 0\n    return Service.of({\n      register: (plugin) =>\n        Effect.sync(() => {\n          plugins.set(plugin.id, { ...plugin, version: String(++revision) })\n        }).pipe(Effect.andThen(events.publish(Updated, {})), Effect.asVoid),\n      all: () => [...plugins.values()],\n    })\n  }),\n)\n\nexport const node = makeGlobalNode({ service: Service, layer, deps: [EventV2.node] })\n",
-    "export * as Tool from \"./tool.js\"\n\nimport { Agent } from \"@opencode-ai/schema/agent\"\nimport type { LLM } from \"@opencode-ai/schema/llm\"\nimport { Session } from \"@opencode-ai/schema/session\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport type { StandardJSONSchemaV1, StandardSchemaV1 } from \"@standard-schema/spec\"\nimport { Effect, JsonSchema, Schema } from \"effect\"\nimport type { Hooks, Transform } from \"./registration.js\"\n\nexport interface Context {\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: string\n  readonly progress: (update: Progress) => Effect.Effect<void>\n}\n\nexport interface Progress {\n  readonly structured: Readonly<Record<string, unknown>>\n  readonly content?: ReadonlyArray<Content>\n}\n\nexport type StandardSchemaType<Input = unknown, Output = Input> = StandardSchemaV1<Input, Output> &\n  StandardJSONSchemaV1<Input, Output>\nexport type SchemaType<A> = Schema.Codec<A, any> | StandardSchemaType<any, A>\ntype IsAny<A> = 0 extends 1 & A ? true : false\nexport type InputValue<S> =\n  IsAny<S> extends true\n    ? any\n    : S extends Schema.Codec<infer A, any>\n      ? A\n      : S extends StandardSchemaV1<any, infer A>\n        ? A\n        : never\nexport type OutputValue<S> =\n  IsAny<S> extends true\n    ? any\n    : S extends Schema.Codec<infer A, any>\n      ? A\n      : S extends StandardSchemaV1<infer A, any>\n        ? A\n        : never\nexport type EncodedValue<S> =\n  IsAny<S> extends true\n    ? any\n    : S extends Schema.Codec<any, infer A>\n      ? A\n      : S extends StandardSchemaV1<any, infer A>\n        ? A\n        : never\n\ntype ToolDefinition = {\n  readonly name: string\n  readonly description: string\n  readonly inputSchema: JsonSchema.JsonSchema\n  readonly outputSchema?: JsonSchema.JsonSchema\n}\n\ntype ToolCall = {\n  readonly input: unknown\n  readonly [key: string]: unknown\n}\n\ntype ToolResultValue =\n  | { readonly type: \"json\"; readonly value: unknown }\n  | { readonly type: \"text\"; readonly value: unknown }\n  | { readonly type: \"error\"; readonly value: unknown }\n  | { readonly type: \"content\"; readonly value: ReadonlyArray<LLM.ToolContent> }\n\ntype ToolOutput = {\n  readonly structured: unknown\n  readonly content: ReadonlyArray<LLM.ToolContent>\n}\n\nexport class Failure extends Schema.TaggedErrorClass<Failure>()(\"LLM.ToolFailure\", {\n  message: Schema.String,\n  error: Schema.optional(Schema.Defect()),\n  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport class RegistrationError extends Schema.TaggedErrorClass<RegistrationError>()(\"Tool.RegistrationError\", {\n  name: Schema.String,\n  message: Schema.String,\n}) {}\n\nexport type Content =\n  | { readonly type: \"text\"; readonly text: string }\n  | { readonly type: \"file\"; readonly data: string; readonly mime: string; readonly name?: string }\n\nexport type Definition<\n  Input extends SchemaType<any>,\n  Structured extends SchemaType<any>,\n  Output extends SchemaType<any> = any,\n> = {\n  readonly description: string\n  readonly input: Input\n  readonly output: Output\n  readonly structured?: Structured\n  readonly permission?: string\n  readonly toStructuredOutput?: (input: {\n    readonly input: InputValue<Input>\n    readonly output: EncodedValue<Output>\n  }) => OutputValue<Structured>\n  readonly execute: (input: InputValue<Input>, context: Context) => Effect.Effect<OutputValue<Output>, Failure>\n  readonly toModelOutput?: (input: {\n    readonly input: InputValue<Input>\n    readonly output: EncodedValue<Output>\n  }) => ReadonlyArray<Content>\n}\n\nexport type DynamicOutput = {\n  readonly structured: unknown\n  readonly content: ReadonlyArray<Content>\n}\n\n/**\n * Config for a tool whose input shape is a raw JSON Schema not known at compile\n * time (MCP servers, plugin manifests). Input is passed through as `unknown`;\n * `execute` returns the already-projected structured value and model content.\n */\nexport type DynamicDefinition = {\n  readonly description: string\n  readonly jsonSchema: JsonSchema.JsonSchema\n  readonly outputSchema?: JsonSchema.JsonSchema\n  readonly permission?: string\n  readonly execute: (input: unknown, context: Context) => Effect.Effect<DynamicOutput, Failure>\n}\n\nexport type AnyTool = Definition<any, any> | DynamicDefinition\n\nexport function make<\n  Input extends SchemaType<any>,\n  Output extends SchemaType<any>,\n  Structured extends SchemaType<any> = Output,\n>(config: Definition<Input, Structured, Output>): Definition<Input, Structured, Output>\nexport function make(config: DynamicDefinition): DynamicDefinition\nexport function make(config: AnyTool): AnyTool\nexport function make(config: AnyTool): AnyTool {\n  return config\n}\n\nfunction toModelContent(part: Content) {\n  if (part.type === \"text\") return { type: \"text\" as const, text: part.text }\n  return { type: \"file\" as const, uri: `data:${part.mime};base64,${part.data}`, mime: part.mime, name: part.name }\n}\n\nexport const validateName = (name: string) =>\n  /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(name)\n    ? Effect.void\n    : Effect.fail(new RegistrationError({ name, message: `Invalid tool name: ${name}` }))\n\nexport const registrationEntries = (tools: Readonly<Record<string, AnyTool>>, namespace?: string) =>\n  Object.entries(tools).map(([name, tool]) => {\n    const normalized = name.replace(/[^a-zA-Z0-9_-]/g, \"_\")\n    return {\n      key: namespace === undefined ? normalized : `${namespace.replaceAll(\".\", \"_\")}_${normalized}`,\n      name: normalized,\n      namespace,\n      tool,\n    }\n  })\n\nexport const validateNamespace = (namespace: string) =>\n  namespace.split(\".\").every((segment) => /^[A-Za-z][A-Za-z0-9_-]{0,63}$/.test(segment))\n    ? Effect.void\n    : Effect.fail(\n        new RegistrationError({ name: namespace, message: `Invalid tool namespace: ${JSON.stringify(namespace)}` }),\n      )\n\nexport const withPermission = <T extends AnyTool>(\n  tool: T,\n  permission: string,\n): Omit<T, \"permission\"> & {\n  readonly permission: string\n} => ({ ...tool, permission })\n\nexport const permission = (tool: AnyTool, name: string) => tool.permission ?? name\n\nexport const definition = (name: string, tool: AnyTool): ToolDefinition =>\n  \"jsonSchema\" in tool\n    ? {\n        name,\n        description: tool.description,\n        inputSchema: tool.jsonSchema,\n        outputSchema: tool.outputSchema,\n      }\n    : {\n        name,\n        description: tool.description,\n        inputSchema: inputJsonSchema(tool.input),\n        outputSchema: outputJsonSchema(tool.structured ?? tool.output),\n      }\n\nexport const settle = (tool: AnyTool, call: ToolCall, context: Context): Effect.Effect<ToolOutput, Failure> =>\n  Effect.gen(function* () {\n    if (\"jsonSchema\" in tool) {\n      const output = yield* tool.execute(call.input, context)\n      return { structured: output.structured, content: output.content.map(toModelContent) }\n    }\n\n    const input = yield* decodeInput(tool.input, call.input)\n    const value = yield* tool.execute(input, context)\n    const output = yield* encodeOutput(tool.output, value)\n    const structured =\n      tool.structured && tool.toStructuredOutput\n        ? yield* encodeOutput(tool.structured, tool.toStructuredOutput({ input, output }))\n        : output\n    return {\n      structured,\n      content:\n        tool.toModelOutput?.({ input, output }).map(toModelContent) ??\n        (typeof output === \"string\" ? [{ type: \"text\" as const, text: output }] : []),\n    }\n  })\n\nfunction decodeInput(schema: SchemaType<any>, value: unknown): Effect.Effect<any, Failure> {\n  if (Schema.isSchema(schema))\n    return Schema.decodeUnknownEffect(schema)(value).pipe(\n      Effect.mapError((error) => new Failure({ message: `Invalid tool input: ${error.message}` })),\n    )\n  return validateStandard(schema, value, \"Invalid tool input\")\n}\n\nfunction encodeOutput(schema: SchemaType<any>, value: unknown): Effect.Effect<any, Failure> {\n  if (Schema.isSchema(schema))\n    return Schema.encodeEffect(schema)(value).pipe(\n      Effect.mapError(\n        (error) => new Failure({ message: `Tool returned an invalid value for its output schema: ${error.message}` }),\n      ),\n    )\n  return validateStandard(schema, value, \"Tool returned an invalid value for its output schema\")\n}\n\nfunction validateStandard(schema: StandardSchemaType, value: unknown, prefix: string): Effect.Effect<unknown, Failure> {\n  return Effect.gen(function* () {\n    const pending = yield* Effect.try({\n      try: () => schema[\"~standard\"].validate(value),\n      catch: (error) => standardFailure(prefix, error),\n    })\n    const result =\n      pending instanceof Promise\n        ? yield* Effect.tryPromise({ try: () => pending, catch: (error) => standardFailure(prefix, error) })\n        : pending\n    if (result.issues)\n      return yield* Effect.fail(\n        new Failure({ message: `${prefix}: ${result.issues.map((issue) => issue.message).join(\", \")}` }),\n      )\n    return result.value\n  })\n}\n\nfunction standardFailure(prefix: string, error: unknown) {\n  return new Failure({ message: `${prefix}: ${error instanceof Error ? error.message : String(error)}` })\n}\n\nfunction inputJsonSchema(schema: SchemaType<any>): JsonSchema.JsonSchema {\n  if (!Schema.isSchema(schema))\n    return schema[\"~standard\"].jsonSchema.input({ target: \"draft-2020-12\" }) as JsonSchema.JsonSchema\n  return toJsonSchema(schema)\n}\n\nfunction outputJsonSchema(schema: SchemaType<any>): JsonSchema.JsonSchema {\n  if (!Schema.isSchema(schema))\n    return schema[\"~standard\"].jsonSchema.output({ target: \"draft-2020-12\" }) as JsonSchema.JsonSchema\n  return toJsonSchema(schema)\n}\n\nfunction toJsonSchema(schema: Schema.Top): JsonSchema.JsonSchema {\n  const document = Schema.toJsonSchemaDocument(schema)\n  if (Object.keys(document.definitions).length === 0) return document.schema\n  return { ...document.schema, $defs: document.definitions }\n}\n\nexport interface ToolExecuteBeforeEvent {\n  readonly tool: string\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: string\n  input: unknown\n}\n\nexport interface ToolExecuteAfterEvent {\n  readonly tool: string\n  readonly sessionID: Session.ID\n  readonly agent: Agent.ID\n  readonly messageID: SessionMessage.ID\n  readonly callID: string\n  readonly input: unknown\n  result: ToolResultValue\n  output?: ToolOutput\n  outputPaths?: ReadonlyArray<string>\n}\n\nexport interface RegisterOptions {\n  readonly namespace?: string\n  /** Defaults to true. False exposes the tool directly to the provider. */\n  readonly codemode?: boolean\n}\n\nexport interface ToolDraft {\n  add(name: string, tool: AnyTool, options?: RegisterOptions): void\n}\n\nexport interface ToolHooks {\n  readonly \"execute.before\": ToolExecuteBeforeEvent\n  readonly \"execute.after\": ToolExecuteAfterEvent\n}\n\nexport interface ToolDomain {\n  readonly transform: Transform<ToolDraft>\n  readonly hook: Hooks<ToolHooks>\n}\n",
-    "import type { PluginApi } from \"@opencode-ai/client/effect/api\"\nimport type { Effect, Scope } from \"effect\"\nimport type { PluginOptions } from \"../options.js\"\nimport type { AgentDomain } from \"./agent.js\"\nimport type { AISDKDomain } from \"./aisdk.js\"\nimport type { CatalogDomain } from \"./catalog.js\"\nimport type { CommandDomain } from \"./command.js\"\nimport type { EventDomain } from \"./event.js\"\nimport type { IntegrationDomain } from \"./integration.js\"\nimport type { ReferenceDomain } from \"./reference.js\"\nimport type { SessionDomain } from \"./session.js\"\nimport type { SkillDomain } from \"./skill.js\"\nimport type { ToolDomain } from \"./tool.js\"\n\nexport interface Context {\n  readonly options: PluginOptions\n  readonly agent: AgentDomain\n  readonly aisdk: AISDKDomain\n  readonly catalog: CatalogDomain\n  readonly command: CommandDomain\n  readonly event: EventDomain\n  readonly integration: IntegrationDomain\n  readonly plugin: PluginApi<unknown>\n  readonly reference: ReferenceDomain\n  readonly session: SessionDomain\n  readonly skill: SkillDomain\n  readonly tool: ToolDomain\n}\n\nexport interface Plugin<R = Scope.Scope> {\n  readonly id: string\n  readonly effect: (context: Context) => Effect.Effect<void, never, R>\n}\n\nexport function define<R = Scope.Scope>(plugin: Plugin<R>) {\n  return plugin\n}\n",
-    "export * as Session from \"./session.js\"\n\nimport { Schema } from \"effect\"\nimport { Agent } from \"./agent.js\"\nimport { Location } from \"./location.js\"\nimport { Model } from \"./model.js\"\nimport { Project } from \"./project.js\"\nimport { DateTimeUtcFromMillis, optional, RelativePath } from \"./schema.js\"\nimport { SessionEvent } from \"./session-event.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { SessionMessage } from \"./session-message.js\"\nimport { Money } from \"./money.js\"\nimport { TokenUsage } from \"./token-usage.js\"\nimport { Revert } from \"./session-revert.js\"\n\nexport const ID = SessionID\nexport type ID = SessionID\n\nexport const Event = SessionEvent\n\nexport { Revert }\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  id: ID,\n  parentID: ID.pipe(optional),\n  fork: Schema.Struct({\n    sessionID: ID,\n    /** Messages before this exclusive boundary are copied into the fork. */\n    messageID: SessionMessage.ID.pipe(optional),\n  }).pipe(optional),\n  projectID: Project.ID,\n  agent: Agent.ID.pipe(optional),\n  model: Model.Ref.pipe(optional),\n  cost: Money.USD,\n  tokens: TokenUsage.Info,\n  time: Schema.Struct({\n    created: DateTimeUtcFromMillis,\n    updated: DateTimeUtcFromMillis,\n    archived: DateTimeUtcFromMillis.pipe(optional),\n  }),\n  title: Schema.String,\n  location: Location.Ref,\n  subpath: RelativePath.pipe(optional),\n  revert: Revert.pipe(optional),\n}).annotate({ identifier: \"Session.Info\" })\n\nexport const ListAnchor = Schema.Struct({\n  id: ID,\n  time: Schema.Finite,\n  direction: Schema.Literals([\"previous\", \"next\"]),\n}).annotate({ identifier: \"Session.ListAnchor\" })\nexport interface ListAnchor extends Schema.Schema.Type<typeof ListAnchor> {}\n",
-    "export * as Command from \"./command.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Agent } from \"./agent.js\"\n\nconst Updated = ephemeral({ type: \"command.updated\", schema: {} })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n  name: Schema.String,\n  template: Schema.String,\n  description: Schema.String.pipe(optional),\n  agent: Agent.ID.pipe(optional),\n  model: Model.Ref.pipe(optional),\n  subtask: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Command.Info\" })\n\nexport const Event = {\n  Updated,\n  Definitions: inventory(Updated),\n}\n",
-    "export * as Reference from \"./reference.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { AbsolutePath } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"reference.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface LocalSource extends Schema.Schema.Type<typeof LocalSource> {}\nexport const LocalSource = Schema.Struct({\n  type: Schema.Literal(\"local\"),\n  path: AbsolutePath,\n  description: Schema.String.pipe(optional),\n  hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.LocalSource\" })\n\nexport interface GitSource extends Schema.Schema.Type<typeof GitSource> {}\nexport const GitSource = Schema.Struct({\n  type: Schema.Literal(\"git\"),\n  repository: Schema.String,\n  branch: Schema.String.pipe(optional),\n  description: Schema.String.pipe(optional),\n  hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.GitSource\" })\n\nexport const Source = Schema.Union([LocalSource, GitSource])\n  .pipe(Schema.toTaggedUnion(\"type\"))\n  .annotate({ identifier: \"Reference.Source\" })\nexport type Source = typeof Source.Type\n\nexport const Info = Schema.Struct({\n  name: Schema.String,\n  path: AbsolutePath,\n  description: Schema.String.pipe(optional),\n  hidden: Schema.Boolean.pipe(optional),\n  source: Source,\n}).annotate({ identifier: \"Reference.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n"
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bin/chunk-j6rptfat.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"
-  ],
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-  "debugId": "E6973FC71D85021D64756E2164756E21",
-  "names": []
-}

bin/chunk-jnsftcqm.js.map

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

-{
-  "version": 3,
-  "sources": ["../core/src/installation/version.ts"],
-  "sourcesContent": [
-    "declare global {\n  const OPENCODE_VERSION: string\n  const OPENCODE_CHANNEL: string\n}\n\nexport const InstallationVersion = typeof OPENCODE_VERSION === \"string\" ? OPENCODE_VERSION : \"local\"\nexport const InstallationChannel = typeof OPENCODE_CHANNEL === \"string\" ? OPENCODE_CHANNEL : \"local\"\nexport const InstallationLocal = InstallationChannel === \"local\"\n"
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-}

bin/chunk-kh1bcgn0.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/unset.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.unset,\n  Effect.fn(\"cli.service.unset\")(function* (input) {\n    yield* ServiceConfig.unset(input.key)\n  }),\n)\n"
-  ],
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-  "debugId": "75D8C7A513080D5664756E2164756E21",
-  "names": []
-}

bin/chunk-km75yq3e.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/core/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 { waitForCatalogReady } from \"../services/catalog\"\nimport { parseSessionTargetModel, resolveSessionTarget } from \"../session-target\"\nimport { toolInlineInfo } from \"@opencode-ai/tui/mini/tool\"\nimport { runNonInteractivePrompt } from \"./noninteractive\"\nimport { UI } from \"./ui\"\n\nexport type RunCommandInput = {\n  server: ServerConnection.Resolved\n  message: string[]\n  continue?: boolean\n  session?: string\n  fork?: boolean\n  model?: string\n  agent?: string\n  format: \"default\" | \"json\"\n  file: string[]\n  title?: string\n  thinking?: boolean\n  auto?: boolean\n}\n\ntype FilePart = {\n  url: string\n  filename: string\n  mime: string\n}\n\ntype Prepared = {\n  directory?: string\n  message: string\n  files: FilePart[]\n}\n\ntype ExecutionOptions = {\n  root?: string\n  directory?: string\n  useServerDirectory?: boolean\n  variant?: string\n  attached?: boolean\n  compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n  constructor(\n    message: string,\n    readonly sessionID?: string,\n  ) {\n    super(message)\n  }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n  return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n  return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n  if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n  const root = options.root ?? process.env.PWD ?? process.cwd()\n  const local = localDirectory(root)\n  const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n  const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n  if (!message?.trim()) fail(\"You must provide a message\")\n  const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n  const prepared = { directory, message, files }\n  return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const explicit = parseRunModel(input.model)\n  const target = await resolveSessionTarget({\n    client,\n    location: prepared.directory ? { directory: prepared.directory } : undefined,\n    continue: input.continue,\n    session: input.session,\n    fork: input.fork,\n    model: explicit\n      ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n      : undefined,\n    agent: input.agent,\n    prepare: async (next) => {\n      const selected =\n        next.model ??\n        (await client.model\n          .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n          .then((result) => result.data))\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      if (model) {\n        await waitForCatalogReady({\n          sdk: client,\n          directory: next.location.directory,\n          workspace: next.location.workspaceID,\n          model: { providerID: model.providerID, modelID: model.id },\n        })\n        const available = await client.model.list({\n          location: { directory: next.location.directory, workspace: next.location.workspaceID },\n        })\n        if (!available.data.some((item) => item.providerID === model.providerID && item.id === model.id))\n          throw new RunTargetError(`Model unavailable: ${model.providerID}/${model.id}`, next.session?.id)\n      }\n      return {\n        model,\n        agent: input.agent\n          ? await validateAgent(client, next.location.directory, next.location.workspaceID, input.agent)\n          : next.agent,\n      }\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 ${root}`)\n  }\n}\n\nexport function parseRunModel(value?: string) {\n  const ref = parseSessionTargetModel(value)\n  if (!ref) return\n  return {\n    model: { providerID: ref.providerID, modelID: ref.id },\n    variant: ref.variant,\n  }\n}\n\nasync function validateAgent(client: OpenCodeClient, directory: string, workspace: string | undefined, name?: string) {\n  if (!name) return\n  const agents = await client.agent\n    .list({ location: { directory, workspace } })\n    .then((result) => result.data)\n    .catch(() => undefined)\n  if (!agents) {\n    warning(\"failed to list agents. Falling back to default agent\")\n    return\n  }\n  const agent = agents.find((item) => item.id === name)\n  if (!agent) {\n    warning(`agent \"${name}\" not found. Falling back to default agent`)\n    return\n  }\n  if (agent.mode === \"subagent\") {\n    warning(`agent \"${name}\" is a subagent, not a primary agent. Falling back to default agent`)\n    return\n  }\n  return name\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 warning(message: string) {\n  UI.println(UI.Style.TEXT_WARNING_BOLD + \"!\", UI.Style.TEXT_NORMAL, message)\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  LLMToolContent,\n  LocationRef,\n  OpenCodeClient,\n  SessionMessageAssistantTool,\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 { 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  structured: Record<string, JsonValue>\n  content: LLMToolContent[]\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  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 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 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.v2.asked\" && submitted && event.data.sessionID === input.sessionID) {\n        await replyPermission(event.data)\n        continue\n      }\n      if (\n        event.type === \"form.created\" &&\n        submitted &&\n        (event.data.form.sessionID === input.sessionID ||\n          (!input.attached &&\n            event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n            sameLocation(event.location, input.location)))\n      ) {\n        await cancelForm(event.data.form)\n        continue\n      }\n      if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n      const time = toMillis(\"created\" in event ? event.created : undefined)\n\n      if (event.type === \"session.input.promoted\") {\n        if (event.data.inputID === messageID) {\n          promoted = true\n          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) 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\", { id: partID(event.id), timestamp: time })\n        continue\n      }\n      if (event.type === \"session.text.ended\") {\n        const started = starts.get(\"text\")\n        starts.delete(\"text\")\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        writeText(part, time)\n        continue\n      }\n\n      if (event.type === \"session.reasoning.started\") {\n        flushStep()\n        starts.set(\"reasoning\", { id: partID(event.id), timestamp: time })\n        continue\n      }\n      if (event.type === \"session.reasoning.ended\" && input.thinking) {\n        const started = starts.get(\"reasoning\")\n        starts.delete(\"reasoning\")\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        if (emit(\"reasoning\", time, { part })) continue\n        const text = part.text.trim()\n        if (!text) continue\n        const line = `Thinking: ${text}`\n        if (!process.stdout.isTTY) {\n          process.stdout.write(line + EOL)\n          continue\n        }\n        UI.empty()\n        UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n        UI.empty()\n        continue\n      }\n\n      if (event.type === \"session.tool.input.started\") {\n        flushStep()\n        tools.set(toolKey(event.data.assistantMessageID, event.data.callID), {\n          id: partID(event.id),\n          timestamp: time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: event.data.name,\n          input: {},\n          structured: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.input.ended\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = event.data.text\n        continue\n      }\n      if (event.type === \"session.tool.input.delta\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n        continue\n      }\n      if (event.type === \"session.tool.called\") {\n        flushStep()\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key)\n        tools.set(key, {\n          id: current?.id ?? partID(event.id),\n          timestamp: current?.timestamp ?? time,\n          assistantMessageID: event.data.assistantMessageID,\n          tool: current?.tool ?? \"tool\",\n          input: event.data.input,\n          raw: current?.raw,\n          provider: { executed: event.data.executed, state: event.data.state },\n          providerState: event.data.state,\n          structured: {},\n          content: [],\n        })\n        continue\n      }\n      if (event.type === \"session.tool.progress\") {\n        const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))\n        if (current) {\n          current.structured = event.data.structured\n          current.content = event.data.content\n        }\n        continue\n      }\n      if (event.type === \"session.tool.success\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            structured: event.data.structured,\n            content: event.data.content,\n            result: event.data.result,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"completed\",\n            input: current.input,\n            output: toolOutputText(current.tool, event.data.content),\n            title: current.tool,\n            metadata: {\n              structured: event.data.structured,\n              content: event.data.content,\n              result: event.data.result,\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        if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n        continue\n      }\n      if (event.type === \"session.tool.failed\") {\n        const key = toolKey(event.data.assistantMessageID, event.data.callID)\n        const current = tools.get(key) ?? fallbackTool(event)\n        const error = event.data.error.message\n        const tool: SessionMessageAssistantTool = {\n          type: \"tool\",\n          id: event.data.callID,\n          name: current.tool,\n          executed: event.data.executed,\n          providerState: current.providerState,\n          providerResultState: event.data.resultState,\n          state: {\n            status: \"error\",\n            input: current.input,\n            structured: current.structured,\n            content: current.content,\n            error: event.data.error,\n            result: event.data.result,\n          },\n          time: { created: current.timestamp, ran: current.timestamp, completed: time },\n        }\n        const part: MiniToolPart = {\n          id: current.id,\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"tool\",\n          callID: event.data.callID,\n          tool: current.tool,\n          state: {\n            status: \"error\",\n            input: current.input,\n            error,\n            metadata: {\n              result: event.data.result,\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        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n        if (!emit(\"tool_use\", time, { part })) {\n          if (toolOutputText(current.tool, current.content).trim())\n            await input.renderTool({\n              ...tool,\n              state: {\n                status: \"completed\",\n                input: current.input,\n                structured: current.structured,\n                content: current.content,\n                result: event.data.result,\n              },\n            })\n          await input.renderToolError(tool)\n          UI.error(error)\n        }\n        continue\n      }\n\n      if (event.type === \"session.step.ended\") {\n        flushStep()\n        const part = {\n          id: partID(event.id),\n          sessionID: input.sessionID,\n          messageID: event.data.assistantMessageID,\n          type: \"step-finish\",\n          reason: event.data.finish,\n          snapshot: event.data.snapshot,\n          cost: event.data.cost,\n          tokens: event.data.tokens,\n        }\n        emit(\"step_finish\", time, { part })\n        continue\n      }\n      if (event.type === \"session.step.failed\") {\n        if (\n          input.compatibility === \"v1\" &&\n          event.data.error.message === \"Provider stream ended without a terminal finish event\"\n        ) {\n          pendingStep = undefined\n          v1InvalidOutput = true\n          continue\n        }\n        if (interrupted || permissionRejected || formCancelled) continue\n        flushStep()\n        emittedError = true\n        process.exitCode = 1\n        if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        continue\n      }\n      if (event.type === \"session.execution.failed\") {\n        if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n        flushStep()\n        if (!emittedError && !formCancelled) {\n          emittedError = true\n          process.exitCode = 1\n          if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.interrupted\") {\n        if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n        if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n        if (event.data.reason !== \"user\" && !emittedError) {\n          emittedError = true\n          process.exitCode = 1\n          const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n          if (!emit(\"error\", time, { error })) UI.error(error.message)\n        }\n        return\n      }\n      if (event.type === \"session.execution.succeeded\") return\n    }\n  }\n\n  const 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    await completed\n  } finally {\n    process.off(\"SIGINT\", interrupt)\n    controller.abort()\n    await stream.return?.(undefined).catch(() => {})\n  }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n  return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n  if (!location) return []\n  return [\n    {\n      headers: {\n        \"x-opencode-directory\": encodeURIComponent(location.directory),\n        ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n      },\n    },\n  ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n  return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n  return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, callID: string) {\n  return `${messageID}\\u0000${callID}`\n}\n\nfunction fallbackTool(event: {\n  id: string\n  created: number\n  data: { assistantMessageID: string; callID: string }\n}): ToolState {\n  return {\n    id: partID(event.id),\n    timestamp: toMillis(event.created),\n    assistantMessageID: event.data.assistantMessageID,\n    tool: \"tool\",\n    input: {},\n    structured: {},\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": "8D1659AC9811E85764756E2164756E21",
-  "names": []
-}

bin/chunk-m7b2jj9t.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": "C224C0FB626CB65864756E2164756E21",
-  "names": []
-}

bin/chunk-mc7stbvj.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/plugin/list.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.plugin.commands.list,\n  Effect.fn(\"cli.plugin.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n    const plugins = response.data.toSorted((a, b) => a.id.localeCompare(b.id))\n    if (plugins.length === 0) {\n      process.stdout.write(\"No plugins loaded\" + EOL)\n      return\n    }\n    process.stdout.write(plugins.map((plugin) => plugin.id).join(EOL) + EOL)\n  }),\n)\n"
-  ],
-  "mappings": ";g6BAAA,mBAAS,gBAQT,SAAe,SAAQ,aACrB,OAAS,cAAS,YAAO,cAAS,UAClC,OAAO,QAAG,sBAAiB,OAAE,cAAU,OAAG,MACxC,SAAM,OAAU,WAAO,OAAc,aAAQ,OAEvC,QADQ,MAAO,EAAQ,SAAS,CAAO,KAClB,MAAO,EAAQ,OAAO,CAAO,GAClD,EAAS,EAAS,KAAK,CAAE,QAAS,EAAS,IAAK,QAAS,EAAQ,QAAQ,CAAQ,CAAE,CAAC,EAEpF,GADW,MAAO,EAAO,QAAQ,IAAM,EAAO,OAAO,KAAK,CAAE,SAAU,CAAE,UAAW,QAAQ,IAAI,CAAE,CAAE,CAAC,CAAC,GAClF,KAAK,SAAS,CAAC,EAAG,IAAM,EAAE,GAAG,cAAc,EAAE,EAAE,CAAC,EACzE,GAAI,EAAQ,SAAW,EAAG,CACxB,QAAQ,OAAO,MAAM,oBAAsB,CAAG,EAC9C,OAEF,QAAQ,OAAO,MAAM,EAAQ,IAAI,CAAC,IAAW,EAAO,EAAE,EAAE,KAAK,CAAG,EAAI,CAAG,EACxE,CACH",
-  "debugId": "25818149364C898964756E2164756E21",
-  "names": []
-}

bin/chunk-neva5vnr.js.map

-{
-  "version": 3,
-  "sources": ["../simulation/src/frontend/actions.ts", "../simulation/src/recording.ts", "../simulation/src/frontend/renderer.ts", "../simulation/src/frontend/semantics.ts", "../simulation/src/frontend/server.ts", "../simulation/src/frontend/simulation.ts"],
-  "sourcesContent": [
-    "import { tmpdir } from \"node:os\"\nimport { extname, join, resolve } from \"node:path\"\nimport type { CliRenderer, Renderable } from \"@opentui/core\"\nimport {\n  createMockKeys,\n  createMockMouse,\n  KeyCodes,\n  type KeyInput,\n  type MockInput,\n  type MockMouse,\n} from \"@opentui/core/testing\"\nimport { Config, Effect, FileSystem, Schema } from \"effect\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationSemantics } from \"./semantics\"\n\nexport type Action = SimulationProtocol.Frontend.Action\nexport type Element = SimulationProtocol.Frontend.Element\n\nexport interface Harness {\n  readonly renderer: CliRenderer\n  readonly mockInput: MockInput\n  readonly mockMouse: MockMouse\n  readonly resize: (cols: number, rows: number) => void\n  readonly renderOnce: () => Promise<void>\n  readonly screen: () => string\n}\n\ntype RenderBuffer = {\n  readonly width: number\n  readonly height: number\n  getRealCharBytes(includeAnsi?: boolean): Uint8Array\n}\n\nconst decoder = new TextDecoder()\n\nfunction isKeyCode(key: string): key is keyof typeof KeyCodes {\n  return Object.hasOwn(KeyCodes, key)\n}\n\nfunction keyInput(key: string): KeyInput {\n  const named = key.toUpperCase()\n  return isKeyCode(named) ? named : key\n}\n\nfunction children(renderable: Renderable) {\n  return renderable.getChildren().filter((child): child is Renderable => \"num\" in child)\n}\n\nfunction all(renderable: Renderable): Renderable[] {\n  return [renderable, ...children(renderable).flatMap(all)]\n}\n\nfunction mouseListeners(renderable: Renderable) {\n  const general = Reflect.get(renderable, \"_mouseListener\")\n  const specific = Reflect.get(renderable, \"_mouseListeners\")\n  return Boolean(general) || (specific && typeof specific === \"object\" && Object.keys(specific).length > 0)\n}\n\nfunction hit(renderer: CliRenderer, renderable: Renderable) {\n  if (renderable.width <= 0 || renderable.height <= 0) return false\n  const x = Math.floor(renderable.screenX + renderable.width / 2)\n  const y = Math.floor(renderable.screenY + renderable.height / 2)\n  const target = renderer.hitTest(x, y)\n  return all(renderable).some((item) => item.num === target)\n}\n\n/**\n * Builds the harness the simulation server drives.\n *\n * When the renderer is the headless simulation renderer, its TestRendererSetup\n * provides the supported testing APIs. For the visible terminal renderer the\n * harness falls back to `requestRender` + `idle` and reading the private\n * `currentRenderBuffer`.\n */\nexport function createHarness(renderer: CliRenderer): Harness {\n  const setup = SimulationRenderer.setupFor(renderer)\n  return {\n    renderer,\n    mockInput: setup?.mockInput ?? createMockKeys(renderer),\n    mockMouse: setup?.mockMouse ?? createMockMouse(renderer),\n    resize: setup?.resize ?? ((cols, rows) => renderer.resize(cols, rows)),\n    renderOnce:\n      setup?.renderOnce ??\n      (async () => {\n        renderer.requestRender()\n        await renderer.idle()\n      }),\n    // captureCharFrame follows the test renderer's output sink. Recording\n    // redirects that sink to the timeline, so read the live render buffer\n    // instead; it is also the source used by screenshots.\n    screen: () => decoder.decode((Reflect.get(renderer, \"currentRenderBuffer\") as RenderBuffer).getRealCharBytes()),\n  }\n}\n\nexport function elements(renderer: CliRenderer): Element[] {\n  return all(renderer.root)\n    .filter((renderable) => renderable.visible && !renderable.isDestroyed)\n    .map((renderable) => {\n      const clickable = mouseListeners(renderable) && hit(renderer, renderable)\n      return {\n        id: renderable.id,\n        num: renderable.num,\n        x: renderable.screenX,\n        y: renderable.screenY,\n        width: renderable.width,\n        height: renderable.height,\n        focusable: renderable.focusable,\n        focused: renderable.focused,\n        clickable,\n        editor: renderer.currentFocusedEditor === renderable,\n      } satisfies Element\n    })\n    .filter((element) => element.focusable || element.clickable || element.editor)\n}\n\nexport function state(harness: Harness) {\n  return {\n    focused: {\n      renderable: harness.renderer.currentFocusedRenderable?.num,\n      editor: Boolean(harness.renderer.currentFocusedEditor),\n    },\n    elements: elements(harness.renderer),\n  }\n}\n\nexport function snapshot(harness: Harness): SimulationProtocol.Frontend.SemanticSnapshot {\n  const ids = new Set<string>()\n  const visit = (renderable: Renderable, parent?: string): SimulationProtocol.Frontend.SemanticNode[] => {\n    if (!renderable.visible || renderable.isDestroyed) return []\n    const definition = SimulationSemantics.read(renderable)?.()\n    if (definition && ids.has(renderable.id)) throw new Error(`duplicate semantic UI id: ${renderable.id}`)\n    if (definition) ids.add(renderable.id)\n    const node = definition\n      ? [{ id: renderable.id, ...definition, ...(parent === undefined ? {} : { parent }), element: renderable.num }]\n      : []\n    const ancestor = definition ? renderable.id : parent\n    return [...node, ...children(renderable).flatMap((child) => visit(child, ancestor))]\n  }\n  return Schema.decodeUnknownSync(SimulationProtocol.Frontend.SemanticSnapshot)({\n    format: \"opencode-ui-snapshot-v1\",\n    nodes: visit(harness.renderer.root),\n  })\n}\n\nexport function matches(harness: Pick<Harness, \"screen\">, text: string) {\n  return harness.screen().includes(text)\n}\n\nexport const capture = Effect.fn(\"SimulationActions.capture\")(function* (harness: Harness) {\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const buffer = harness.renderer.currentRenderBuffer\n  return {\n    cols: buffer.width,\n    rows: buffer.height,\n    cursor: [0, 0] as const,\n    lines: buffer.getSpanLines().map((line) => ({\n      spans: line.spans.map((span) => ({\n        text: span.text,\n        fg: span.fg.toInts(),\n        bg: span.bg.toInts(),\n        attributes: span.attributes,\n        width: span.width,\n      })),\n    })),\n  } satisfies SimulationProtocol.Frontend.CapturedFrame\n})\n\nexport const screenshot = Effect.fn(\"SimulationActions.screenshot\")(function* (harness: Harness, name?: string) {\n  const filename = name ?? `screenshot-${crypto.randomUUID()}`\n  if (!filename || filename.includes(\"/\") || filename.includes(\"\\\\\") || extname(filename))\n    return yield* Effect.fail(new Error(\"screenshot name must not contain a path or extension\"))\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  const { SimulationPng } = yield* Effect.promise(() => import(\"./png\"))\n  const image = SimulationPng.screenshot(harness.renderer)\n  const directory = resolve(\n    yield* Config.string(\"OPENCODE_DRIVE_MEDIA_DIR\").pipe(\n      Config.withDefault(join(tmpdir(), \"opencode-drive\", \"output\")),\n    ),\n  )\n  const fs = yield* FileSystem.FileSystem\n  yield* fs.makeDirectory(directory, { recursive: true })\n  const path = join(directory, `${filename}.png`)\n  yield* fs.writeFile(path, image.data)\n  return path\n})\n\nexport const execute = Effect.fn(\"SimulationActions.execute\")(function* (harness: Harness, action: Action) {\n  switch (action.type) {\n    case \"ui.type\":\n      yield* Effect.tryPromise(() => harness.mockInput.typeText(action.text))\n      break\n    case \"ui.press\":\n      harness.mockInput.pressKey(keyInput(action.key), action.modifiers)\n      break\n    case \"ui.enter\":\n      harness.mockInput.pressEnter()\n      break\n    case \"ui.arrow\":\n      harness.mockInput.pressArrow(action.direction)\n      break\n    case \"ui.focus\":\n      all(harness.renderer.root)\n        .find((item) => item.num === action.target)\n        ?.focus()\n      break\n    case \"ui.click\": {\n      const target = all(harness.renderer.root).find((item) => item.num === action.target)\n      if (!target || !target.visible || target.isDestroyed)\n        return yield* Effect.fail(new Error(`click target is stale or unavailable: ${action.target}`))\n      if (action.semantic) {\n        const current = snapshot(harness).nodes.find((node) => node.element === action.target)\n        if (\n          current?.id !== action.semantic.id ||\n          current.instance !== action.semantic.instance ||\n          current.element !== action.semantic.element\n        )\n          return yield* Effect.fail(new Error(`semantic click target is stale or unavailable: ${action.semantic.id}`))\n      }\n      if (\n        !Number.isFinite(action.x) ||\n        action.x < 0 ||\n        action.x >= target.width ||\n        !Number.isFinite(action.y) ||\n        action.y < 0 ||\n        action.y >= target.height\n      )\n        return yield* Effect.fail(new Error(\"click position must be within the target element\"))\n      yield* Effect.tryPromise(() => harness.mockMouse.click(target.screenX + action.x, target.screenY + action.y))\n      break\n    }\n    case \"ui.resize\":\n      if (\n        !Number.isSafeInteger(action.cols) ||\n        action.cols <= 0 ||\n        !Number.isSafeInteger(action.rows) ||\n        action.rows <= 0\n      ) {\n        return yield* Effect.fail(new Error(\"resize cols and rows must be positive integers\"))\n      }\n      harness.resize(action.cols, action.rows)\n      SimulationRenderer.recordResize(harness.renderer, action.cols, action.rows)\n      break\n  }\n  yield* Effect.tryPromise(() => harness.renderOnce())\n  return state(harness)\n})\n\nexport * as SimulationActions from \"./actions\"\n",
-    "import { createWriteStream, type WriteStream } from \"node:fs\"\nimport { mkdir } from \"node:fs/promises\"\nimport { dirname } from \"node:path\"\nimport { Writable } from \"node:stream\"\nimport { finished } from \"node:stream/promises\"\nimport { Schema } from \"effect\"\n\nexport const Header = Schema.Struct({\n  type: Schema.Literal(\"header\"),\n  version: Schema.Literal(1),\n  cols: Schema.Number,\n  rows: Schema.Number,\n  encoding: Schema.Literal(\"base64\"),\n})\nexport interface Header extends Schema.Schema.Type<typeof Header> {}\n\nexport const Output = Schema.Struct({\n  type: Schema.Literal(\"output\"),\n  at_ms: Schema.Number,\n  data: Schema.String,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n\nexport const Resize = Schema.Struct({\n  type: Schema.Literal(\"resize\"),\n  at_ms: Schema.Number,\n  cols: Schema.Number,\n  rows: Schema.Number,\n})\nexport interface Resize extends Schema.Schema.Type<typeof Resize> {}\n\nexport const Event = Schema.Union([Header, Output, Resize])\nexport type Event = Schema.Schema.Type<typeof Event>\n\nexport class Timeline extends Writable {\n  readonly isTTY = true\n  readonly path: string\n  readonly columns: number\n  readonly rows: number\n  private readonly output: WriteStream\n  private readonly started = performance.now()\n  private readonly timestamps: number[] = []\n  private done?: Promise<string>\n\n  private constructor(path: string, cols: number, rows: number, output: WriteStream) {\n    super()\n    this.path = path\n    this.columns = cols\n    this.rows = rows\n    this.output = output\n    // finish() reports stream failures; keep Writable from also throwing them process-wide.\n    this.on(\"error\", () => {})\n    output.on(\"error\", (error) => this.destroy(error))\n  }\n\n  static async create(path: string, cols: number, rows: number) {\n    await mkdir(dirname(path), { recursive: true })\n    const output = createWriteStream(path)\n    const timeline = new Timeline(path, cols, rows, output)\n    await new Promise<void>((resolve, reject) => {\n      output.write(\n        `${JSON.stringify({ type: \"header\", version: 1, cols, rows, encoding: \"base64\" } satisfies Header)}\\n`,\n        (error) => (error ? reject(error) : resolve()),\n      )\n    })\n    return timeline\n  }\n\n  getColorDepth() {\n    return 24\n  }\n\n  override write(chunk: unknown, callback?: (error?: Error | null) => void): boolean\n  override write(chunk: unknown, encoding: BufferEncoding, callback?: (error?: Error | null) => void): boolean\n  override write(\n    chunk: unknown,\n    encoding?: BufferEncoding | ((error?: Error | null) => void),\n    callback?: (error?: Error | null) => void,\n  ) {\n    if (!this.writableEnded) {\n      this.timestamps.push(this.elapsed())\n      if (typeof encoding === \"function\") return super.write(chunk, encoding)\n      if (encoding === undefined) return super.write(chunk, callback)\n      return super.write(chunk, encoding, callback)\n    }\n    const done = typeof encoding === \"function\" ? encoding : callback\n    queueMicrotask(() => done?.(null))\n    return true\n  }\n\n  override _write(chunk: Buffer, _encoding: BufferEncoding, callback: (error?: Error | null) => void) {\n    this.writeOutput(chunk, this.timestamps.shift() ?? this.elapsed(), callback)\n  }\n\n  override _final(callback: (error?: Error | null) => void) {\n    this.writeOutput(Buffer.alloc(0), this.elapsed(), (error) => {\n      if (error) return callback(error)\n      this.output.end(callback)\n    })\n  }\n\n  finish() {\n    if (this.done) return this.done\n    this.end()\n    this.done = finished(this).then(() => this.path)\n    return this.done\n  }\n\n  resize(cols: number, rows: number) {\n    if (this.writableEnded) return\n    const event = { type: \"resize\", at_ms: this.elapsed(), cols, rows } satisfies Resize\n    this.output.write(`${JSON.stringify(event)}\\n`)\n  }\n\n  private elapsed() {\n    return Math.max(0, Math.round(performance.now() - this.started))\n  }\n\n  private writeOutput(data: Buffer, at_ms: number, callback: (error?: Error | null) => void) {\n    const event = {\n      type: \"output\",\n      at_ms,\n      data: data.toString(\"base64\"),\n    } satisfies Output\n    this.output.write(`${JSON.stringify(event)}\\n`, callback)\n  }\n}\n\nexport * as SimulationRecording from \"./recording\"\n",
-    "import type { CliRenderer, CliRendererConfig } from \"@opentui/core\"\nimport { createTestRenderer, type TestRendererSetup } from \"@opentui/core/testing\"\nimport { Effect } from \"effect\"\nimport { Timeline } from \"../recording\"\n\nconst setups = new WeakMap<CliRenderer, TestRendererSetup>()\nconst recordings = new WeakMap<CliRenderer, Timeline>()\n\n/**\n * Creates a headless renderer with optional recording: a real CliRenderer\n * backed by an in-memory screen buffer. The TestRendererSetup is kept\n * module-side so the harness can use supported testing APIs without app\n * code carrying it around.\n */\nexport interface Viewport {\n  readonly cols: number\n  readonly rows: number\n}\n\nexport const create = Effect.fn(\"SimulationRenderer.create\")(function* (\n  options: CliRendererConfig,\n  path?: string,\n  viewport?: Viewport,\n) {\n  const cols = viewport?.cols ?? 100\n  const rows = viewport?.rows ?? 40\n  const recording = path\n    ? yield* Effect.acquireRelease(\n        Effect.tryPromise(() => Timeline.create(path, cols, rows)),\n        (recording) =>\n          Effect.tryPromise(() => recording.finish()).pipe(\n            Effect.catch((error) =>\n              Effect.sync(() => process.stderr.write(`Failed to finish UI recording: ${error}\\n`)),\n            ),\n          ),\n      )\n    : undefined\n  const setup = yield* Effect.acquireRelease(\n    Effect.tryPromise(() =>\n      createTestRenderer({\n        ...options,\n        width: cols,\n        height: rows,\n        ...(recording\n          ? {\n              stdout: recording as unknown as NodeJS.WriteStream,\n              bufferedOutput: \"stdout\" as const,\n            }\n          : {}),\n      }),\n    ),\n    (setup) =>\n      Effect.sync(() => {\n        if (!setup.renderer.isDestroyed) setup.renderer.destroy()\n      }),\n  )\n  setups.set(setup.renderer, setup)\n  if (recording) recordings.set(setup.renderer, recording)\n  return setup.renderer\n})\n\nexport function recordResize(renderer: CliRenderer, cols: number, rows: number) {\n  recordings.get(renderer)?.resize(cols, rows)\n}\n\nexport function setupFor(renderer: CliRenderer): TestRendererSetup | undefined {\n  return setups.get(renderer)\n}\n\nexport function finish(renderer: CliRenderer) {\n  const recording = recordings.get(renderer)\n  if (!recording) return Effect.fail(new Error(\"UI recording is not available\"))\n  return Effect.tryPromise(() => recording.finish())\n}\n\nexport * as SimulationRenderer from \"./renderer\"\n",
-    "import type { Renderable } from \"@opentui/core\"\nimport type { SimulationProtocol } from \"../protocol\"\n\n// Semantic renderables set an explicit stable OpenTUI id so ui.state and\n// ui.snapshot expose the same identity. Hierarchy and element handles come\n// from the live render tree.\nexport type Definition = Omit<SimulationProtocol.Frontend.SemanticNode, \"id\" | \"element\" | \"parent\">\n\nconst key = Symbol.for(\"opencode.simulation.semantics\")\n\nconst bind = (definition: () => Definition) => (renderable: Renderable) => {\n  Object.defineProperty(renderable, key, { value: definition, configurable: true })\n}\n\nexport const read = (renderable: Renderable) => {\n  const definition: unknown = Reflect.get(renderable, key)\n  return typeof definition === \"function\" ? (definition as () => Definition) : undefined\n}\n\nexport const SimulationSemantics = { bind, read }\n",
-    "import { InstallationVersion } from \"@opencode-ai/core/installation/version\"\nimport { Effect } from \"effect\"\nimport { SimulationControlServer } from \"../control-server\"\nimport { SimulationProtocol } from \"../protocol\"\nimport { SimulationActions, type Harness } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\n\nfunction handle(harness: Harness, request: SimulationProtocol.Frontend.Request) {\n  switch (request.method) {\n    case \"simulation.handshake\":\n      return SimulationProtocol.Handshake.dispatch(\n        {\n          role: \"ui\",\n          server: { name: \"opencode\", version: InstallationVersion },\n          capabilities: SimulationProtocol.Frontend.Capabilities,\n        },\n        request.params,\n      )\n    case \"ui.capture\":\n      return SimulationActions.capture(harness)\n    case \"ui.screenshot\":\n      return SimulationActions.screenshot(harness, request.params?.name)\n    case \"ui.state\":\n      return Effect.sync(() => SimulationActions.state(harness))\n    case \"ui.snapshot\":\n      return Effect.sync(() => SimulationActions.snapshot(harness))\n    case \"ui.matches\":\n      return Effect.sync(() => SimulationActions.matches(harness, request.params.text))\n    case \"ui.recording.finish\":\n      return SimulationRenderer.finish(harness.renderer)\n    case \"ui.type\":\n      return SimulationActions.execute(harness, { type: \"ui.type\", text: request.params.text })\n    case \"ui.enter\":\n      return SimulationActions.execute(harness, { type: \"ui.enter\" })\n    case \"ui.press\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.press\",\n        key: request.params.key,\n        modifiers: request.params.modifiers,\n      })\n    case \"ui.arrow\":\n      return SimulationActions.execute(harness, { type: \"ui.arrow\", direction: request.params.direction })\n    case \"ui.focus\":\n      return SimulationActions.execute(harness, { type: \"ui.focus\", target: request.params.target })\n    case \"ui.click\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.click\",\n        target: request.params.target,\n        x: request.params.x,\n        y: request.params.y,\n        semantic: request.params.semantic,\n      })\n    case \"ui.resize\":\n      return SimulationActions.execute(harness, {\n        type: \"ui.resize\",\n        cols: request.params.cols,\n        rows: request.params.rows,\n      })\n  }\n}\n\nexport const start = Effect.fn(\"SimulationServer.start\")(function* (harness: Harness, endpoint: string) {\n  return yield* SimulationControlServer.start({\n    endpoint,\n    label: \"opencode drive ui websocket\",\n    data: () => ({ drive: true as const }),\n    decode: SimulationProtocol.Frontend.decodeRequestEffect,\n    handle: (_socket, request) => handle(harness, request),\n  })\n})\n\nexport * as SimulationServer from \"./server\"\n",
-    "import { createCliRenderer, type CliRendererConfig } from \"@opentui/core\"\nimport { Config, Effect } from \"effect\"\nimport { DriveManifest } from \"../manifest\"\nimport { SimulationActions } from \"./actions\"\nimport { SimulationRenderer } from \"./renderer\"\nimport { SimulationServer } from \"./server\"\n\n/** Drive-mode renderer and control-server acquisition. */\nexport const create = Effect.fn(\"Drive.create\")(function* (options: CliRendererConfig) {\n  const headless = (yield* Config.string(\"OPENCODE_DRIVE_RENDERER\").pipe(Config.withDefault(\"visible\"))) === \"headless\"\n  const manifest = yield* DriveManifest.resolve()\n  const renderer = headless\n    ? yield* SimulationRenderer.create(options, manifest.recording?.timeline, manifest.viewport)\n    : yield* Effect.acquireRelease(\n        Effect.tryPromise(() => createCliRenderer(options)),\n        (renderer) =>\n          Effect.sync(() => {\n            if (!renderer.isDestroyed) renderer.destroy()\n          }),\n      )\n  if (!headless && manifest.viewport) renderer.resize(manifest.viewport.cols, manifest.viewport.rows)\n  const server = yield* SimulationServer.start(SimulationActions.createHarness(renderer), manifest.endpoints.ui)\n  yield* Effect.sync(() => process.stderr.write(`opencode drive ui websocket: ${server.url}\\n`))\n  return renderer\n})\n\nexport * as Drive from \"./simulation\"\n"
-  ],
-  "mappings": 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-  "debugId": "28A8AB960E299E4E64756E2164756E21",
-  "names": []
-}

bin/chunk-p38w8pgb.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"],
-  "sourcesContent": [
-    "import type { ProviderPackage } from \"../provider-package\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { RouteDefaultsInput } from \"../route/client\"\nimport { ProviderID, type ModelID } from \"../schema\"\n\nexport const id = ProviderID.make(\"anthropic-compatible\")\n\nexport type Config = RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly provider?: string\n    readonly baseURL: string\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  }\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({ id: modelID }),\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic-compatible apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    provider: settings.provider,\n  }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible\"\n",
-    "import type { RouteDefaultsInput } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport type { ProviderAuthOption } from \"../route/auth-options\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages\"\nimport { AnthropicCompatible } from \"./anthropic-compatible\"\n\nexport const id = ProviderID.make(\"anthropic\")\n\nexport const routes = [AnthropicMessages.route]\n\nexport type Config = RouteDefaultsInput & ProviderAuthOption<\"optional\"> & { readonly baseURL?: string }\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  }\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>[\"model\"] = (modelID, settings) => {\n  if (settings.apiKey !== undefined && settings.authToken !== undefined)\n    throw new Error(\"Anthropic apiKey cannot be combined with authToken\")\n  return configure({\n    ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n    baseURL: settings.baseURL,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n  }).model(modelID)\n}\n"
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bin/chunk-p87yjt72.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,\n      }),\n    )\n  }),\n)\n"
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-}

bin/chunk-q1v4727q.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "1866982064D9934464756E2164756E21",
-  "names": []
-}

bin/chunk-qdv8w69v.js.map

-{
-  "version": 3,
-  "sources": [],
-  "sourcesContent": [
-  ],
-  "mappings": "",
-  "debugId": "D51B07819BF5469D64756E2164756E21",
-  "names": []
-}

bin/chunk-ranwrx9b.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/openai-compatible-chat.ts"],
-  "sourcesContent": [
-    "import { Route, type RouteRoutedModelInput } from \"../route/client\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport * as OpenAIChat from \"./openai-chat\"\n\nconst ADAPTER = \"openai-compatible-chat\"\n\nexport type OpenAICompatibleChatModelInput = RouteRoutedModelInput\n\n/**\n * Route for non-OpenAI providers that expose an OpenAI Chat-compatible\n * `/chat/completions` endpoint. Reuses `OpenAIChat.protocol` end-to-end and\n * overrides only the route id so providers can be resolved per-family without\n * colliding with native OpenAI. Provider helpers configure the route endpoint\n * before model selection.\n */\nexport const route = Route.make({\n  id: ADAPTER,\n  providerMetadataKey: \"openai\",\n  protocol: OpenAIChat.protocol,\n  endpoint: Endpoint.path(\"/chat/completions\"),\n  framing: Framing.sse,\n})\n\nexport * as OpenAICompatibleChat from \"./openai-compatible-chat\"\n"
-  ],
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-  "debugId": "3CA07C190277284B64756E2164756E21",
-  "names": []
-}

bin/chunk-rng1agw9.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/pair.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode } from \"@opencode-ai/client/promise\"\nimport { renderUnicodeCompact } from \"uqr\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServiceConfig } from \"../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.pair,\n  Effect.fn(\"cli.pair\")(function* () {\n    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n    const password = yield* ServiceConfig.password()\n    const server = yield* Effect.tryPromise(() =>\n      OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) }).server.get(),\n    )\n    const info = { urls: server.urls, username: \"opencode\", password }\n    process.stdout.write(\n      [\n        \"\",\n        `  URLs      ${info.urls[0] ?? \"(none)\"}`,\n        ...info.urls.slice(1).map((url) => `            ${url}`),\n        `  Username  ${info.username}`,\n        `  Password  ${info.password}`,\n        \"\",\n        \"  Scan to pair\",\n        \"\",\n        renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n          .split(EOL)\n          .map((line) => \"  \" + line)\n          .join(EOL),\n        \"\",\n      ].join(EOL) + EOL,\n    )\n\n    const hostname = new URL(endpoint.url).hostname\n    if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n    process.stderr.write(\n      `  Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`,\n    )\n  }),\n)\n"
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-  "debugId": "9E52F022374A144164756E2164756E21",
-  "names": []
-}

bin/chunk-rqv6e19w.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mini.ts"],
-  "sourcesContent": [
-    "import { Context, Effect, FileSystem, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { Config } from \"../../config\"\nimport { resolve } from \"@opencode-ai/tui/config\"\n\nexport default Runtime.handler(Commands.commands.mini, (input) =>\n  Effect.gen(function* () {\n    const { runMini, validateMiniTerminal } = yield* Effect.promise(() => import(\"../../mini\"))\n    yield* Effect.promise(async () => validateMiniTerminal())\n    const serverURL = Option.getOrUndefined(input.server)\n    const server = yield* ServerConnection.resolve({ server: serverURL, standalone: input.standalone })\n    const config = yield* Config.Service\n    const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== \"win32\" })\n    const fileSystem = yield* FileSystem.FileSystem\n    const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))\n    const service = server.service\n    yield* Effect.promise(() =>\n      runMini({\n        server: {\n          endpoint: server.endpoint,\n          reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,\n        },\n        continue: input.continue,\n        session: Option.getOrUndefined(input.session),\n        fork: input.fork,\n        model: Option.getOrUndefined(input.model),\n        agent: Option.getOrUndefined(input.agent),\n        prompt: Option.getOrUndefined(input.prompt),\n        replay: input.replay,\n        replayLimit: Option.getOrUndefined(input.replayLimit),\n        demo: input.demo,\n        tuiConfig: resolved,\n      }),\n    )\n  }),\n)\n"
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bin/chunk-rwpms086.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"],
-  "sourcesContent": [
-    "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor\"\nimport type { ImageRequest, ImageResponse } from \"./image\"\nimport type { LLMError } from \"./schema\"\n\nexport type Execute = RequestExecutor.Interface[\"execute\"]\n\nexport interface Interface {\n  readonly generate: (request: ImageRequest) => Effect.Effect<ImageResponse, LLMError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/ImageClient\") {}\n\nexport const generate = (request: ImageRequest): Effect.Effect<ImageResponse, LLMError> =>\n  Effect.gen(function* () {\n    const client = yield* Service\n    return yield* client.generate(request)\n  }) as Effect.Effect<ImageResponse, LLMError>\n\nexport const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(\n  Service,\n  Effect.gen(function* () {\n    const executor = yield* RequestExecutor.Service\n    return Service.of({\n      generate: (request) => request.model.route.generate(request, executor.execute),\n    })\n  }),\n)\n\nexport const ImageClient = {\n  Service,\n  layer,\n  generate,\n} as const\n",
-    "import { Effect, Schema } from \"effect\"\nimport { HttpOptions, InvalidRequestReason, LLMError, ModelID, ProviderID, ProviderMetadata, Usage } from \"./schema\"\nimport { ImageClient, type Execute as ImageExecute } from \"./image-client\"\n\nexport interface ImageRoute {\n  readonly id: string\n  readonly generate: (request: ImageRequest, execute: ImageExecute) => Effect.Effect<ImageResponse, LLMError>\n}\n\nexport class ImageModel {\n  readonly id: ModelID\n  readonly provider: ProviderID\n  readonly route: ImageRoute\n  readonly defaults?: ImageModelDefaults\n\n  constructor(input: ImageModel.Input) {\n    this.id = input.id\n    this.provider = input.provider\n    this.route = input.route\n    this.defaults = input.defaults\n  }\n\n  static make(input: ImageModel.MakeInput) {\n    return new ImageModel({\n      id: ModelID.make(input.id),\n      provider: ProviderID.make(input.provider),\n      route: input.route,\n      defaults: input.defaults,\n    })\n  }\n}\n\nexport namespace ImageModel {\n  export interface Input {\n    readonly id: ModelID\n    readonly provider: ProviderID\n    readonly route: ImageRoute\n    readonly defaults?: ImageModelDefaults\n  }\n\n  export interface MakeInput extends Omit<Input, \"id\" | \"provider\"> {\n    readonly id: string | ModelID\n    readonly provider: string | ProviderID\n  }\n}\n\nexport interface ImageModelDefaults {\n  readonly providerOptions?: Record<string, Record<string, unknown>>\n  readonly http?: HttpOptions\n}\n\nexport const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {\n  expected: \"Image.Model\",\n})\n\nexport const ImageSize = Schema.Struct({\n  width: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),\n  height: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),\n}).annotate({ identifier: \"Image.Size\" })\nexport type ImageSize = Schema.Schema.Type<typeof ImageSize>\n\nexport class ImageRequest extends Schema.Class<ImageRequest>(\"Image.Request\")({\n  model: ImageModelSchema,\n  prompt: Schema.String,\n  count: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),\n  size: Schema.optional(ImageSize),\n  aspectRatio: Schema.optional(Schema.String),\n  seed: Schema.optional(Schema.Number),\n  providerOptions: Schema.optional(Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown))),\n  http: Schema.optional(HttpOptions),\n  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport type ImageRequestInput = Omit<ConstructorParameters<typeof ImageRequest>[0], \"http\"> & {\n  readonly http?: HttpOptions.Input\n}\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 const request = (input: ImageRequest | ImageRequestInput) => {\n  if (input instanceof ImageRequest) return input\n  return new ImageRequest({\n    ...input,\n    http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n  })\n}\n\nexport const generate = (input: ImageRequest | ImageRequestInput) =>\n  Effect.try({\n    try: () => request(input),\n    catch: (error) =>\n      new LLMError({\n        module: \"Image\",\n        method: \"generate\",\n        reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),\n      }),\n  }).pipe(Effect.flatMap(ImageClient.generate))\n\nexport const Image = {\n  request,\n  generate,\n} as const\n"
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-  "debugId": "082A465C73E07E7464756E2164756E21",
-  "names": []
-}

bin/chunk-s6hxs964.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/mcp/list.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type McpServer } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.mcp.commands.list,\n  Effect.fn(\"cli.mcp.list\")(function* () {\n    const options = yield* ServiceConfig.options()\n    const found = yield* Service.discover(options)\n    const endpoint = found ?? (yield* Service.ensure(options))\n    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n    const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n    const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n    if (servers.length === 0) {\n      process.stdout.write(\"No MCP servers configured\" + EOL)\n      return\n    }\n    const width = Math.max(...servers.map((server) => server.name.length))\n    const lines = servers.map(\n      (server) => `${icon(server.status)} ${server.name.padEnd(width)}  ${describe(server.status)}`,\n    )\n    process.stdout.write(lines.join(EOL) + EOL)\n  }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"connected\":\n      return \"✓\"\n    case \"needs_auth\":\n      return \"⚠\"\n    case \"failed\":\n    case \"needs_client_registration\":\n      return \"✗\"\n    default:\n      return \"○\"\n  }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n  switch (status.status) {\n    case \"needs_auth\":\n      return \"needs authentication\"\n    case \"needs_client_registration\":\n      return `needs client registration: ${status.error}`\n    case \"failed\":\n      return `failed: ${status.error}`\n    default:\n      return status.status\n  }\n}\n"
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-  "debugId": "5E5945346AC7BBE464756E2164756E21",
-  "names": []
-}

bin/chunk-srx8x8j3.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": "FC4FC4A1AB275C9364756E2164756E21",
-  "names": []
-}

bin/chunk-tyy3jt4j.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/migrate.ts"],
-  "sourcesContent": [
-    "import { Effect } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\n\nexport default Runtime.handler(Commands.commands.migrate, (_input) => Effect.log(\"No migrations to run.\"))\n"
-  ],
-  "mappings": ";ivBAIA,SAAe,SAAQ,aAAQ,OAAS,cAAS,aAAS,MAAC,SAAW,OAAO,SAAI,4BAAuB,MAAC",
-  "debugId": "06E3BC9A36E0253864756E2164756E21",
-  "names": []
-}

bin/chunk-vv59x0es.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/anthropic-messages.ts"],
-  "sourcesContent": [
-    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { Framing } from \"../route/framing\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMError,\n  LLMEvent,\n  Usage,\n  type CacheHint,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ProviderMetadata,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolContent,\n  type ToolResultPart,\n} from \"../schema\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { classifyProviderFailure } from \"../provider-error\"\nimport * as Cache from \"./utils/cache\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"anthropic-messages\"\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\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 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\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\n// blocks inside `tool_result.content`. The array form is required when a tool\n// returns image bytes (screenshot, image search, etc.) so they can be passed\n// to the model as proper image inputs instead of being JSON-stringified into\n// the prompt — which silently inflates context by megabytes and can push the\n// conversation over the model's token limit.\nconst AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock])\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([AnthropicTextBlock, AnthropicImageBlock, AnthropicToolResultBlock])\ntype AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>\nconst AnthropicAssistantBlock = Schema.Union([\n  AnthropicTextBlock,\n  AnthropicThinkingBlock,\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\"]) }),\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.Struct({\n  input_tokens: Schema.optional(Schema.Number),\n  output_tokens: Schema.optional(Schema.Number),\n  cache_creation_input_tokens: optionalNull(Schema.Number),\n  cache_read_input_tokens: optionalNull(Schema.Number),\n})\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  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 usage?: Usage\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 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: () => undefined,\n    required: () => ({ type: \"any\" as const }),\n    tool: (name) => ({ type: \"tool\" as const, name }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n  type: \"tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n  type: \"server_tool_use\",\n  id: part.id,\n  name: part.name,\n  input: part.input,\n})\n\n// Server tool result blocks are typed by name. Anthropic ships three today;\n// extend this list when new server tools land. The block content is the\n// structured payload returned by the provider, which we round-trip as-is.\nconst serverToolResultType = (name: string): AnthropicServerToolResultType | undefined => {\n  if (name === \"web_search\") return \"web_search_tool_result\"\n  if (name === \"code_execution\") return \"code_execution_tool_result\"\n  if (name === \"web_fetch\") return \"web_fetch_tool_result\"\n  return undefined\n}\n\nconst lowerServerToolResult = Effect.fn(\"AnthropicMessages.lowerServerToolResult\")(function* (part: ToolResultPart) {\n  const wireType = serverToolResultType(part.name)\n  if (!wireType)\n    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)\n  return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerImage = Effect.fn(\"AnthropicMessages.lowerImage\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\n    \"Anthropic Messages\",\n    part,\n    new Set<string>(ProviderShared.IMAGE_MIMES),\n  )\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. Keep media as provider-native\n// content instead of JSON-stringifying base64 into a prompt string.\nconst lowerToolResultContentItem = Effect.fn(\"AnthropicMessages.lowerToolResultContentItem\")(function* (\n  item: ToolContent,\n) {\n  if (item.type === \"text\") return { type: \"text\" as const, text: item.text } satisfies AnthropicTextBlock\n  const media = yield* ProviderShared.validateToolFile(\n    \"Anthropic Messages\",\n    item,\n    new Set<string>(ProviderShared.IMAGE_MIMES),\n  )\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\nconst lowerToolResultContent = Effect.fn(\"AnthropicMessages.lowerToolResultContent\")(function* (part: ToolResultPart) {\n  // Text / json / error results stay as a string for backward compatibility\n  // with existing cassettes and provider expectations.\n  if (part.result.type !== \"content\") return ProviderShared.toolResultText(part)\n  // Preserve the narrowed array element type when compiled through a consumer package.\n  const content: ReadonlyArray<ToolContent> = part.result.value\n  return yield* Effect.forEach(content, lowerToolResultContentItem)\n})\n\n// Mid-conversation system messages are a native Claude API feature only for\n// Opus 4.8. Other Anthropic models intentionally use the same visible wrapped-\n// user fallback as non-Anthropic routes rather than sending a role they reject.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => String(request.model.id) === \"claude-opus-4-8\"\n\nconst endsInServerToolUse = (message: LLMRequest[\"messages\"][number]) => {\n  const last = message.content.at(-1)\n  return message.role === \"assistant\" && last?.type === \"tool-call\" && last.providerExecuted === true\n}\n\nconst canUseNativeSystemUpdate = (messages: LLMRequest[\"messages\"], index: number) => {\n  const previous = messages[index - 1]\n  const next = messages[index + 1]\n  return (\n    previous !== undefined &&\n    previous.role !== \"system\" &&\n    (previous.role === \"user\" || previous.role === \"tool\" || endsInServerToolUse(previous)) &&\n    next?.role !== \"system\" &&\n    (next === undefined || next.role === \"assistant\")\n  )\n}\n\nconst splitsLocalToolResults = (messages: LLMRequest[\"messages\"], index: number) => {\n  const pending = new Set<string>()\n  for (const message of messages.slice(0, index)) {\n    for (const part of message.content) {\n      if (message.role === \"assistant\" && part.type === \"tool-call\" && part.providerExecuted !== true)\n        pending.add(part.id)\n      if (message.role === \"tool\" && part.type === \"tool-result\") pending.delete(part.id)\n    }\n  }\n  return pending.size > 0\n}\n\nconst lowerNativeSystemUpdate = Effect.fn(\"AnthropicMessages.lowerNativeSystemUpdate\")(function* (\n  message: LLMRequest[\"messages\"][number],\n  breakpoints: Cache.Breakpoints,\n) {\n  const content = yield* ProviderShared.systemUpdateText(\"Anthropic Messages\", message)\n  return {\n    role: \"system\" as const,\n    content: content.map((part) => ({\n      type: \"text\" as const,\n      text: part.text,\n      cache_control: cacheControl(breakpoints, part.cache),\n    })),\n  }\n})\n\nconst lowerMessages = Effect.fn(\"AnthropicMessages.lowerMessages\")(function* (\n  request: LLMRequest,\n  breakpoints: Cache.Breakpoints,\n) {\n  const messages: AnthropicMessage[] = []\n\n  for (const [index, message] of request.messages.entries()) {\n    if (message.role === \"system\") {\n      if (splitsLocalToolResults(request.messages, index))\n        return yield* invalid(\"Anthropic Messages system updates cannot split a local tool call from its tool result\")\n      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {\n        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))\n        continue\n      }\n      const part = yield* ProviderShared.wrappedSystemUpdate(\"Anthropic Messages\", message)\n      const block = { type: \"text\" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\")\n        messages[messages.length - 1] = { role: \"user\", content: [...previous.content, block] }\n      else messages.push({ role: \"user\", content: [block] })\n      continue\n    }\n\n    if (message.role === \"user\") {\n      const content: AnthropicUserBlock[] = []\n      for (const part of message.content) {\n        if (part.type === \"text\") {\n          content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n          continue\n        }\n        if (part.type === \"media\") {\n          content.push(yield* lowerImage(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          content.push({\n            type: \"thinking\",\n            thinking: part.text,\n            signature: part.encrypted ?? signatureFromMetadata(part.providerMetadata),\n          })\n          continue\n        }\n        if (part.type === \"tool-call\") {\n          content.push(part.providerExecuted ? lowerServerToolCall(part) : lowerToolCall(part))\n          continue\n        }\n        if (part.type === \"tool-result\" && part.providerExecuted) {\n          content.push(yield* lowerServerToolResult(part))\n          continue\n        }\n        return yield* invalid(\n          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,\n        )\n      }\n      messages.push({ role: \"assistant\", content })\n      continue\n    }\n\n    const content: AnthropicToolResultBlock[] = []\n    for (const part of message.content) {\n      if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n        return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"tool\", [\"tool-result\"])\n      content.push({\n        type: \"tool_result\",\n        tool_use_id: part.id,\n        content: yield* lowerToolResultContent(part),\n        is_error: part.result.type === \"error\" ? true : undefined,\n        cache_control: cacheControl(breakpoints, part.cache),\n      })\n    }\n    messages.push({ role: \"user\", content })\n  }\n\n  return messages\n})\n\nconst anthropicOptions = (request: LLMRequest) => request.providerOptions?.anthropic\n\nconst lowerThinking = Effect.fn(\"AnthropicMessages.lowerThinking\")(function* (request: LLMRequest) {\n  const thinking = anthropicOptions(request)?.thinking\n  if (!ProviderShared.isRecord(thinking)) return undefined\n  if (thinking.type === \"adaptive\") {\n    const display =\n      thinking.display === \"summarized\"\n        ? (\"summarized\" as const)\n        : thinking.display === \"omitted\"\n          ? (\"omitted\" as const)\n          : undefined\n    return { type: \"adaptive\" as const, ...(display === undefined ? {} : { display }) }\n  }\n  if (thinking.type === \"disabled\") return { type: \"disabled\" as const }\n  if (thinking.type !== \"enabled\") return undefined\n  const budget =\n    typeof thinking.budgetTokens === \"number\"\n      ? thinking.budgetTokens\n      : typeof thinking.budget_tokens === \"number\"\n        ? thinking.budget_tokens\n        : undefined\n  if (budget === undefined) return yield* invalid(\"Anthropic thinking provider option requires budgetTokens\")\n  return { type: \"enabled\" as const, budget_tokens: budget }\n})\n\nconst outputConfig = (request: LLMRequest) => {\n  const effort = anthropicOptions(request)?.effort\n  return typeof effort === \"string\" ? { effort } : undefined\n}\n\nconst fromRequest = Effect.fn(\"AnthropicMessages.fromRequest\")(function* (request: LLMRequest) {\n  const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  const outputLimit = request.model.defaults?.limits?.output ?? request.model.route.defaults.limits?.output ?? 4096\n  // Allocate the 4-breakpoint budget in invalidation order: tools → system →\n  // messages. Tools live highest in the cache hierarchy, so when callers\n  // over-mark we keep their tool hints and shed the message-tail ones first.\n  const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)\n  const tools =\n    request.tools.length === 0 || request.toolChoice?.type === \"none\"\n      ? undefined\n      : request.tools.map((tool) =>\n          lowerTool(\n            breakpoints,\n            tool,\n            ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n          ),\n        )\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  return {\n    model: request.model.id,\n    system,\n    messages,\n    tools,\n    tool_choice: toolChoice,\n    stream: true as const,\n    max_tokens: generation?.maxTokens ?? outputLimit,\n    temperature: generation?.temperature,\n    top_p: generation?.topP,\n    top_k: generation?.topK,\n    stop_sequences: generation?.stop,\n    thinking: yield* lowerThinking(request),\n    output_config: outputConfig(request),\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\") 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 *not* broken out by Anthropic — they're billed as\n// part of `output_tokens`, so `reasoningTokens` stays `undefined` and\n// `outputTokens` carries the combined total.\nconst mapUsage = (usage: AnthropicUsage | undefined): Usage | undefined => {\n  if (!usage) return undefined\n  const nonCached = usage.input_tokens\n  const cacheRead = usage.cache_read_input_tokens ?? undefined\n  const cacheWrite = usage.cache_creation_input_tokens ?? undefined\n  const inputTokens = ProviderShared.sumTokens(nonCached, cacheRead, cacheWrite)\n  return new Usage({\n    inputTokens,\n    outputTokens: usage.output_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cacheRead,\n    cacheWriteInputTokens: cacheWrite,\n    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  return new Usage({\n    inputTokens,\n    outputTokens,\n    nonCachedInputTokens,\n    cacheReadInputTokens,\n    cacheWriteInputTokens,\n    totalTokens: ProviderShared.totalTokens(inputTokens, outputTokens, undefined),\n    providerMetadata: {\n      anthropic: {\n        ...left.providerMetadata?.[\"anthropic\"],\n        ...right.providerMetadata?.[\"anthropic\"],\n      },\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    providerMetadata: anthropicMetadata({ blockType: block.type }),\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          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) {\n    const events: LLMEvent[] = []\n    return [\n      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${event.index ?? 0}`, block.text) },\n      events,\n    ]\n  }\n\n  if (block.type === \"thinking\" && block.thinking) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${event.index ?? 0}`, block.thinking),\n      },\n      events,\n    ]\n  }\n\n  const result = serverToolResultEvent(block)\n  if (!result) return [state, NO_EVENTS]\n  const events: LLMEvent[] = []\n  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]\n}\n\nconst onContentBlockDelta = Effect.fn(\"AnthropicMessages.onContentBlockDelta\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  const delta = event.delta\n\n  if (delta?.type === \"text_delta\" && delta.text) {\n    const events: LLMEvent[] = []\n    return [\n      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${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-${event.index ?? 0}`, delta.thinking),\n      },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"signature_delta\" && delta.signature) {\n    const events: LLMEvent[] = []\n    return [\n      {\n        ...state,\n        lifecycle: Lifecycle.reasoningEnd(\n          state.lifecycle,\n          events,\n          `reasoning-${event.index ?? 0}`,\n          anthropicMetadata({ signature: delta.signature }),\n        ),\n      },\n      events,\n    ] satisfies StepResult\n  }\n\n  if (delta?.type === \"input_json_delta\" && event.index !== undefined) {\n    if (!delta.partial_json) return [state, NO_EVENTS] satisfies StepResult\n    const result = ToolStream.appendExisting(\n      ADAPTER,\n      state.tools,\n      event.index,\n      delta.partial_json,\n      \"Anthropic Messages tool argument delta is missing its tool call\",\n    )\n    if (ToolStream.isError(result)) return yield* result\n    const events: LLMEvent[] = []\n    const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n    events.push(...result.events)\n    return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n  }\n\n  return [state, NO_EVENTS] satisfies StepResult\n})\n\nconst onContentBlockStop = Effect.fn(\"AnthropicMessages.onContentBlockStop\")(function* (\n  state: ParserState,\n  event: AnthropicEvent,\n) {\n  if (event.index === undefined) return [state, NO_EVENTS] satisfies StepResult\n  const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)\n  const events: LLMEvent[] = []\n  const resultEvents = result.events ?? []\n  const 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      )\n  events.push(...resultEvents)\n  return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n})\n\nconst onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult => {\n  const usage = mergeUsage(state.usage, mapUsage(event.usage))\n  const events: LLMEvent[] = []\n  const lifecycle = Lifecycle.finish(state.lifecycle, events, {\n    reason: mapFinishReason(event.delta?.stop_reason),\n    usage,\n    providerMetadata: event.delta?.stop_sequence\n      ? anthropicMetadata({ stopSequence: event.delta.stop_sequence })\n      : undefined,\n  })\n  return [{ ...state, lifecycle, usage }, events]\n}\n\n// Prefix `error.type` so overloads, rate limits, and quota errors are visible\n// even when the provider message is generic or empty.\nconst providerErrorMessage = (event: AnthropicEvent): string => {\n  const type = event.error?.type\n  const message = event.error?.message\n  if (type && message) return `${type}: ${message}`\n  return message || type || \"Anthropic Messages stream error\"\n}\n\nconst onError = (event: AnthropicEvent) =>\n  new LLMError({\n    module: ADAPTER,\n    method: \"stream\",\n    reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }),\n  })\n\nconst step = (state: ParserState, event: AnthropicEvent) => {\n  if (event.type === \"message_start\") return Effect.succeed(onMessageStart(state, event))\n  if (event.type === \"content_block_start\") return Effect.succeed(onContentBlockStart(state, event))\n  if (event.type === \"content_block_delta\") return onContentBlockDelta(state, event)\n  if (event.type === \"content_block_stop\") return onContentBlockStop(state, event)\n  if (event.type === \"message_delta\") return Effect.succeed(onMessageDelta(state, event))\n  if (event.type === \"error\") return onError(event)\n  return Effect.succeed<StepResult>([state, NO_EVENTS])\n}\n\n// =============================================================================\n// Protocol And Anthropic Route\n// =============================================================================\n/**\n * The Anthropic Messages protocol — request body construction, body schema,\n * and the streaming-event state machine. Used by native Anthropic Cloud and\n * (once registered) Vertex Anthropic / Bedrock-hosted Anthropic passthrough.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: AnthropicMessagesBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(AnthropicEvent),\n    initial: () => ({ tools: ToolStream.empty<number>(), lifecycle: Lifecycle.initial() }),\n    step,\n  },\n})\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"anthropic\",\n  providerMetadataKey: \"anthropic\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  framing: Framing.sse,\n  headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages\"\n"
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-  "debugId": "1FCD917D01CB4F1564756E2164756E21",
-  "names": []
-}

bin/chunk-xdzy8647.js.map

-{
-  "version": 3,
-  "sources": ["src/commands/handlers/service/get.ts"],
-  "sourcesContent": [
-    "import { EOL } from \"os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n  Commands.commands.service.commands.get,\n  Effect.fn(\"cli.service.get\")(function* (input) {\n    process.stdout.write((yield* ServiceConfig.get(Option.getOrUndefined(input.key))) + EOL)\n  }),\n)\n"
-  ],
-  "mappings": ";42BAAA,mBAAS,gBAMT,SAAe,SAAQ,aACrB,OAAS,cAAS,aAAQ,cAAS,SACnC,OAAO,QAAG,sBAAiB,OAAE,cAAU,MAAC,OAAO,MAC7C,aAAQ,YAAO,YAAO,WAAO,OAAc,IAAI,EAAO,eAAe,EAAM,GAAG,CAAC,GAAK,CAAG,EACxF,CACH",
-  "debugId": "409126D0A510E2A164756E2164756E21",
-  "names": []
-}

bin/chunk-xhwkdtyg.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"],
-  "sourcesContent": [
-    "import { Schema } from \"effect\"\nimport type { LLMRequest, TextVerbosity as TextVerbosityValue } from \"../../schema\"\nimport { ReasoningEfforts, TextVerbosity } from \"../../schema\"\n\nexport const OpenAIReasoningEfforts = ReasoningEfforts\nexport type OpenAIReasoningEffort = string\n\n// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this\n// in lockstep with `openai-node/src/resources/responses/responses.ts`.\nexport const OpenAIResponseIncludables = [\n  \"file_search_call.results\",\n  \"web_search_call.results\",\n  \"web_search_call.action.sources\",\n  \"message.input_image.image_url\",\n  \"computer_call_output.output.image_url\",\n  \"code_interpreter_call.outputs\",\n  \"reasoning.encrypted_content\",\n  \"message.output_text.logprobs\",\n] as const\nexport type OpenAIResponseIncludable = (typeof OpenAIResponseIncludables)[number]\nexport const OpenAIServiceTiers = [\"auto\", \"default\", \"flex\", \"priority\"] as const\nexport type OpenAIServiceTier = (typeof OpenAIServiceTiers)[number]\n\nconst TEXT_VERBOSITY = new Set<string>([\"low\", \"medium\", \"high\"])\nconst INCLUDABLES = new Set<string>(OpenAIResponseIncludables)\nconst SERVICE_TIERS = new Set<string>(OpenAIServiceTiers)\n\nexport const OpenAIReasoningEffort = Schema.String\nexport const OpenAITextVerbosity = TextVerbosity\nexport const OpenAIResponseIncludable = Schema.Literals(OpenAIResponseIncludables)\nexport const OpenAIServiceTier = Schema.Literals(OpenAIServiceTiers)\n\nexport const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === \"string\"\n\nconst isTextVerbosity = (value: unknown): value is TextVerbosityValue =>\n  typeof value === \"string\" && TEXT_VERBOSITY.has(value)\n\nconst options = (request: LLMRequest) => request.providerOptions?.openai\n\nexport const store = (request: LLMRequest): boolean | undefined => {\n  const value = options(request)?.store\n  return typeof value === \"boolean\" ? value : undefined\n}\n\nexport const reasoningEffort = (request: LLMRequest): string | undefined => {\n  const value = options(request)?.reasoningEffort\n  return typeof value === \"string\" ? value : undefined\n}\n\nexport const reasoningSummary = (request: LLMRequest): \"auto\" | undefined =>\n  options(request)?.reasoningSummary === \"auto\" ? \"auto\" : undefined\n\n// Resolve the OpenAI Responses `include` field. Filters out unknown\n// includable values defensively so a typo in upstream config drops the\n// invalid entry instead of poisoning the wire body. An empty array (either\n// passed directly or produced by filtering) is treated as \"no include\" and\n// returns undefined so the request body omits the field entirely.\nexport const include = (request: LLMRequest): ReadonlyArray<OpenAIResponseIncludable> | undefined => {\n  const value = options(request)?.include\n  if (!Array.isArray(value)) return undefined\n  const filtered = value.filter((entry): entry is OpenAIResponseIncludable => INCLUDABLES.has(entry))\n  return filtered.length > 0 ? filtered : undefined\n}\n\nexport const promptCacheKey = (request: LLMRequest) => {\n  const value = options(request)?.promptCacheKey\n  return typeof value === \"string\" ? value : undefined\n}\n\nexport const textVerbosity = (request: LLMRequest) => {\n  const value = options(request)?.textVerbosity\n  return isTextVerbosity(value) ? value : undefined\n}\n\nexport const serviceTier = (request: LLMRequest) => {\n  const value = options(request)?.serviceTier\n  return typeof value === \"string\" && SERVICE_TIERS.has(value) ? (value as OpenAIServiceTier) : undefined\n}\n\nexport const instructions = (request: LLMRequest) => {\n  const value = options(request)?.instructions\n  return typeof value === \"string\" ? value : undefined\n}\n\nexport * as OpenAIOptions from \"./openai-options\"\n",
-    "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client\"\nimport { Auth } from \"../route/auth\"\nimport { Endpoint } from \"../route/endpoint\"\nimport { HttpTransport } from \"../route/transport\"\nimport { Protocol } from \"../route/protocol\"\nimport {\n  LLMEvent,\n  Usage,\n  type FinishReason,\n  type JsonSchema,\n  type LLMRequest,\n  type MediaPart,\n  type ReasoningPart,\n  type TextPart,\n  type ToolCallPart,\n  type ToolDefinition,\n  type ToolContent,\n} from \"../schema\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared\"\nimport { OpenAIOptions } from \"./utils/openai-options\"\nimport { Lifecycle } from \"./utils/lifecycle\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema\"\nimport { ToolStream } from \"./utils/tool-stream\"\n\nconst ADAPTER = \"openai-chat\"\nconst IMAGE_MIMES = new Set<string>(ProviderShared.IMAGE_MIMES)\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 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})\ntype OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>\n\nconst OpenAIChatAssistantToolCall = Schema.Struct({\n  id: Schema.String,\n  type: Schema.tag(\"function\"),\n  function: Schema.Struct({\n    name: Schema.String,\n    arguments: Schema.String,\n  }),\n})\ntype OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>\n\nconst OpenAIChatUserContent = Schema.Union([\n  Schema.Struct({ type: Schema.Literal(\"text\"), text: Schema.String }),\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({ role: Schema.Literal(\"system\"), content: Schema.String }),\n  Schema.Struct({\n    role: Schema.Literal(\"user\"),\n    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n  }),\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  }),\n  Schema.Struct({ role: Schema.Literal(\"tool\"), tool_call_id: Schema.String, content: Schema.String }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>\n\nconst OpenAIChatToolChoice = Schema.Union([\n  Schema.Literals([\"auto\", \"none\", \"required\"]),\n  Schema.Struct({\n    type: Schema.tag(\"function\"),\n    function: Schema.Struct({ name: Schema.String }),\n  }),\n])\n\nexport const bodyFields = {\n  model: Schema.String,\n  messages: Schema.Array(OpenAIChatMessage),\n  tools: optionalArray(OpenAIChatTool),\n  tool_choice: Schema.optional(OpenAIChatToolChoice),\n  stream: Schema.Literal(true),\n  stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),\n  store: Schema.optional(Schema.Boolean),\n  reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),\n  max_tokens: Schema.optional(Schema.Number),\n  temperature: Schema.optional(Schema.Number),\n  top_p: Schema.optional(Schema.Number),\n  frequency_penalty: Schema.optional(Schema.Number),\n  presence_penalty: Schema.optional(Schema.Number),\n  seed: Schema.optional(Schema.Number),\n  stop: optionalArray(Schema.String),\n}\nconst OpenAIChatBody = Schema.Struct(bodyFields)\nexport type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>\n\n// =============================================================================\n// Streaming Event Schema\n// =============================================================================\n// The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the\n// byte stream into strings, then `Protocol.jsonEvent` decodes each string into\n// this provider-native event shape.\nconst OpenAIChatUsage = Schema.Struct({\n  prompt_tokens: Schema.optional(Schema.Number),\n  completion_tokens: Schema.optional(Schema.Number),\n  total_tokens: Schema.optional(Schema.Number),\n  prompt_tokens_details: optionalNull(\n    Schema.Struct({\n      cached_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n  completion_tokens_details: optionalNull(\n    Schema.Struct({\n      reasoning_tokens: Schema.optional(Schema.Number),\n    }),\n  ),\n})\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n  name: optionalNull(Schema.String),\n  arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n  index: Schema.Number,\n  id: optionalNull(Schema.String),\n  function: optionalNull(OpenAIChatToolCallDeltaFunction),\n})\ntype OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>\n\nconst OpenAIChatDelta = Schema.Struct({\n  content: optionalNull(Schema.String),\n  reasoning_content: optionalNull(Schema.String),\n  reasoning: optionalNull(Schema.String),\n  reasoning_text: optionalNull(Schema.String),\n  tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),\n})\n\nconst OpenAIChatChoice = Schema.Struct({\n  delta: optionalNull(OpenAIChatDelta),\n  finish_reason: optionalNull(Schema.String),\n})\n\nexport const OpenAIChatEvent = Schema.Struct({\n  choices: Schema.Array(OpenAIChatChoice),\n  usage: optionalNull(OpenAIChatUsage),\n})\nexport type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>\ntype OpenAIChatRequestMessage = LLMRequest[\"messages\"][number]\n\nexport interface ParserState {\n  readonly tools: ToolStream.State<number>\n  readonly toolCallEvents: ReadonlyArray<LLMEvent>\n  readonly usage?: Usage\n  readonly finishReason?: FinishReason\n  readonly lifecycle: Lifecycle.State\n  readonly reasoningField?: \"reasoning\" | \"reasoning_content\" | \"reasoning_text\"\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`.\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema): OpenAIChatTool => ({\n  type: \"function\",\n  function: {\n    name: tool.name,\n    description: tool.description,\n    parameters: ToolSchemaProjection.openAI(inputSchema),\n  },\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n  ProviderShared.matchToolChoice(\"OpenAI Chat\", toolChoice, {\n    auto: () => \"auto\" as const,\n    none: () => \"none\" as const,\n    required: () => \"required\" as const,\n    tool: (name) => ({ type: \"function\" as const, function: { name } }),\n  })\n\nconst lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({\n  id: part.id,\n  type: \"function\",\n  function: {\n    name: part.name,\n    arguments: ProviderShared.encodeJson(part.input),\n  },\n})\n\nconst lowerMedia = Effect.fn(\"OpenAIChat.lowerMedia\")(function* (part: MediaPart) {\n  const media = yield* ProviderShared.validateMedia(\"OpenAI Chat\", part, IMAGE_MIMES)\n  return { type: \"image_url\" as const, image_url: { url: media.dataUrl } }\n})\n\nconst openAICompatibleReasoningContent = (native: unknown) =>\n  isRecord(native) && typeof native.reasoning_content === \"string\" ? native.reasoning_content : undefined\n\nconst reasoningField = (part: ReasoningPart) => {\n  const field = part.providerMetadata?.openai?.reasoningField\n  if (field === \"reasoning\" || field === \"reasoning_content\" || field === \"reasoning_text\") return field\n  return \"reasoning_content\"\n}\n\nconst lowerUserMessage = Effect.fn(\"OpenAIChat.lowerUserMessage\")(function* (message: OpenAIChatRequestMessage) {\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 })\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\"))\n    return { role: \"user\" as const, content: content.map((part) => part.text).join(\"\") }\n  return { role: \"user\" as const, content }\n})\n\nconst lowerAssistantMessage = Effect.fn(\"OpenAIChat.lowerAssistantMessage\")(function* (\n  message: OpenAIChatRequestMessage,\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 field = reasoning[0] ? reasoningField(reasoning[0]) : \"reasoning_content\"\n  return {\n    role: \"assistant\" as const,\n    content: content.length === 0 ? null : ProviderShared.joinText(content),\n    tool_calls: toolCalls.length === 0 ? undefined : toolCalls,\n    reasoning_content:\n      reasoning.length === 0\n        ? openAICompatibleReasoningContent(message.native?.openaiCompatible)\n        : field === \"reasoning_content\"\n          ? text\n          : undefined,\n    reasoning: reasoning.length > 0 && field === \"reasoning\" ? text : undefined,\n    reasoning_text: reasoning.length > 0 && field === \"reasoning_text\" ? text : undefined,\n  }\n})\n\nconst lowerToolMessages = Effect.fn(\"OpenAIChat.lowerToolMessages\")(function* (message: OpenAIChatRequestMessage) {\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({ role: \"tool\", tool_call_id: part.id, content: ProviderShared.toolResultText(part) })\n      continue\n    }\n    const content: ReadonlyArray<ToolContent> = part.result.value\n    const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n    messages.push({ role: \"tool\", tool_call_id: part.id, content: text.join(\"\\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* (message: OpenAIChatRequestMessage) {\n  if (message.role === \"user\") return [yield* lowerUserMessage(message)]\n  if (message.role === \"assistant\") return [yield* lowerAssistantMessage(message)]\n  return (yield* lowerToolMessages(message)).messages\n})\n\nconst lowerMessages = Effect.fn(\"OpenAIChat.lowerMessages\")(function* (request: LLMRequest) {\n  const system: OpenAIChatMessage[] =\n    request.system.length === 0 ? [] : [{ 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({ role: \"user\", content: [...pendingImages.splice(0), { type: \"text\", text: part.text }] })\n        continue\n      }\n      const previous = messages.at(-1)\n      if (previous?.role === \"user\" && typeof previous.content === \"string\")\n        messages[messages.length - 1] = { 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: [...previous.content, { type: \"text\", text: part.text }],\n        }\n      else messages.push({ role: \"user\", content: part.text })\n      continue\n    }\n    if (message.role === \"tool\") {\n      const lowered = yield* lowerToolMessages(message)\n      messages.push(...lowered.messages)\n      pendingImages.push(...lowered.images)\n      continue\n    }\n    flushImages()\n    messages.push(...(yield* lowerMessage(message)))\n  }\n  flushImages()\n  return messages\n})\n\nconst lowerOptions = Effect.fn(\"OpenAIChat.lowerOptions\")(function* (request: LLMRequest) {\n  const store = OpenAIOptions.store(request)\n  const reasoningEffort = OpenAIOptions.reasoningEffort(request)\n  return {\n    ...(store !== undefined ? { store } : {}),\n    ...(reasoningEffort ? { reasoning_effort: reasoningEffort } : {}),\n  }\n})\n\nconst fromRequest = Effect.fn(\"OpenAIChat.fromRequest\")(function* (request: LLMRequest) {\n  // `fromRequest` returns the provider body only. Endpoint, auth, framing,\n  // validation, and HTTP execution are composed by `Route.make`.\n  const generation = request.generation\n  const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n  return {\n    model: request.model.id,\n    messages: yield* lowerMessages(request),\n    tools:\n      request.tools.length === 0\n        ? undefined\n        : request.tools.map((tool) =>\n            lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n          ),\n    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,\n    stream: true as const,\n    stream_options: { include_usage: true },\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    ...(yield* 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  return \"unknown\"\n}\n\n// OpenAI Chat reports `prompt_tokens` (inclusive total) with a\n// `cached_tokens` subset, and `completion_tokens` (inclusive total) with\n// a `reasoning_tokens` subset. We pass the inclusive totals through and\n// derive the non-cached breakdown so the `LLM.Usage` contract is\n// satisfied on both sides.\nconst mapUsage = (usage: OpenAIChatEvent[\"usage\"]): Usage | undefined => {\n  if (!usage) return undefined\n  const cached = usage.prompt_tokens_details?.cached_tokens\n  const reasoning = usage.completion_tokens_details?.reasoning_tokens\n  const nonCached = ProviderShared.subtractTokens(usage.prompt_tokens, cached)\n  return new Usage({\n    inputTokens: usage.prompt_tokens,\n    outputTokens: usage.completion_tokens,\n    nonCachedInputTokens: nonCached,\n    cacheReadInputTokens: cached,\n    reasoningTokens: reasoning,\n    totalTokens: ProviderShared.totalTokens(usage.prompt_tokens, usage.completion_tokens, usage.total_tokens),\n    providerMetadata: { openai: usage },\n  })\n}\n\nconst reasoningDelta = (delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined) => {\n  if (delta?.reasoning_content) return { field: \"reasoning_content\", text: delta.reasoning_content } as const\n  if (delta?.reasoning) return { field: \"reasoning\", text: delta.reasoning } as const\n  if (delta?.reasoning_text) return { field: \"reasoning_text\", text: delta.reasoning_text } as const\n}\n\nconst step = (state: ParserState, event: OpenAIChatEvent) =>\n  Effect.gen(function* () {\n    const events: LLMEvent[] = []\n    const usage = mapUsage(event.usage) ?? state.usage\n    const choice = event.choices[0]\n    const finishReason = choice?.finish_reason ? mapFinishReason(choice.finish_reason) : state.finishReason\n    const delta = choice?.delta\n    const toolDeltas = delta?.tool_calls ?? []\n    let tools = state.tools\n\n    let lifecycle = state.lifecycle\n\n    const reasoning = reasoningDelta(delta)\n    const reasoningField = state.reasoningField ?? reasoning?.field\n    if (reasoning)\n      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", reasoning.text, {\n        openai: { reasoningField: reasoningField ?? reasoning.field },\n      })\n\n    if (delta?.content) {\n      lifecycle = Lifecycle.reasoningEnd(lifecycle, events, \"reasoning-0\")\n      lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.content)\n    }\n\n    if (toolDeltas.length) lifecycle = Lifecycle.reasoningEnd(lifecycle, events, \"reasoning-0\")\n\n    for (const tool of toolDeltas) {\n      const result = ToolStream.appendOrStart(\n        ADAPTER,\n        tools,\n        tool.index,\n        { id: tool.id ?? undefined, name: tool.function?.name ?? undefined, text: tool.function?.arguments ?? \"\" },\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    // 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        toolCallEvents: finished?.events ?? state.toolCallEvents,\n        usage,\n        finishReason,\n        lifecycle,\n        reasoningField,\n      },\n      events,\n    ] as const\n  })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n  const events: LLMEvent[] = []\n  const hasToolCalls = state.toolCallEvents.length > 0\n  const reason = state.finishReason === \"stop\" && hasToolCalls ? \"tool-calls\" : state.finishReason\n  const lifecycle = state.toolCallEvents.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n  events.push(...state.toolCallEvents)\n  if (reason) Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })\n  return events\n}\n\n// =============================================================================\n// Protocol And OpenAI Route\n// =============================================================================\n/**\n * The OpenAI Chat protocol — request body construction, body schema, and the\n * streaming-event state machine. Reused by every route that speaks OpenAI Chat\n * over HTTP+SSE: native OpenAI, DeepSeek, TogetherAI, Cerebras, Baseten,\n * Fireworks, DeepInfra, and (once added) Azure OpenAI Chat.\n */\nexport const protocol = Protocol.make({\n  id: ADAPTER,\n  body: {\n    schema: OpenAIChatBody,\n    from: fromRequest,\n  },\n  stream: {\n    event: Protocol.jsonEvent(OpenAIChatEvent),\n    initial: () => ({\n      tools: ToolStream.empty<number>(),\n      toolCallEvents: [],\n      lifecycle: Lifecycle.initial(),\n      reasoningField: undefined,\n    }),\n    step,\n    onHalt: finishEvents,\n  },\n})\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIChatBody>()\n\nexport const route = Route.make({\n  id: ADAPTER,\n  provider: \"openai\",\n  providerMetadataKey: \"openai\",\n  protocol,\n  endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n  auth: Auth.none,\n  transport: httpTransport,\n})\n\nexport * as OpenAIChat from \"./openai-chat\"\n"
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bin/chunk-xjdsk726.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/core/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: ${url}`))\n    if (url && environment) return yield* Effect.fail(new Error(\"--env is only valid for local MCP servers\"))\n    if (hasCommand && headers) return yield* Effect.fail(new Error(\"--header is only valid for remote MCP servers\"))\n\n    const server = url\n      ? { type: \"remote\" as const, url, ...(headers ? { headers } : {}) }\n      : { type: \"local\" as const, command, ...(environment ? { environment } : {}) }\n\n    const configPath = yield* Effect.promise(() => resolveConfigPath(input.global ? Global.Path.config : process.cwd()))\n    yield* Effect.promise(() => write(configPath, input.name, server))\n    process.stdout.write(`MCP server \"${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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bin/chunk-xtpdkyhx.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 FinishReason, type ProviderMetadata, type Usage } from \"../../schema\"\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 textDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {\n  const stepped = stepStart(state, events)\n  if (stepped.text.has(id)) {\n    events.push(LLMEvent.textDelta({ id, text }))\n    return stepped\n  }\n  events.push(LLMEvent.textStart({ id }), LLMEvent.textDelta({ id, text }))\n  return { ...stepped, text: new Set([...stepped.text, id]) }\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 }))\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: FinishReason\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\"\n",
-    "import { isRecord } from \"../../utils/record\"\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): Record<string, unknown> | undefined => {\n  if (!isRecord(schema)) return undefined\n  if (emptyObjectSchema(schema)) return undefined\n  return Object.fromEntries(\n    [\n      [\"description\", schema.description],\n      [\"required\", schema.required],\n      [\"format\", schema.format],\n      [\"type\", Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\")[0] : schema.type],\n      [\"nullable\", Array.isArray(schema.type) && schema.type.includes(\"null\") ? true : undefined],\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)]))\n          : undefined,\n      ],\n      [\n        \"items\",\n        Array.isArray(schema.items)\n          ? schema.items.map(projectNode)\n          : schema.items === undefined\n            ? undefined\n            : projectNode(schema.items),\n      ],\n      [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map(projectNode) : undefined],\n      [\"anyOf\", Array.isArray(schema.anyOf) ? schema.anyOf.map(projectNode) : undefined],\n      [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map(projectNode) : undefined],\n      [\"minLength\", schema.minLength],\n    ].filter((entry) => entry[1] !== undefined),\n  )\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema\"\n",
-    "import type { JsonSchema, ModelToolSchemaCompatibility } from \"../../schema\"\nimport { isRecord } from \"../../utils/record\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema\"\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 gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n  schema: JsonSchema,\n  compatibility: ModelToolSchemaCompatibility | 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} as const\n"
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bin/chunk-xvhcd1cp.js.map

-{
-  "version": 3,
-  "sources": ["../ai/src/providers/azure.ts"],
-  "sourcesContent": [
-    "import { Auth } from \"../route/auth\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client\"\nimport type { ProviderPackage } from \"../provider-package\"\nimport { ProviderID, type ModelID } from \"../schema\"\nimport * as OpenAIChat from \"../protocols/openai-chat\"\nimport * as OpenAIResponses from \"../protocols/openai-responses\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options\"\n\nexport const id = ProviderID.make(\"azure\")\nconst routeAuth = Auth.remove(\"authorization\")\n\n// Azure needs the customer's resource URL; supply either `resourceName`\n// (helper builds the URL) or `baseURL` directly.\ntype AzureURL = AtLeastOne<{ readonly resourceName: string; readonly baseURL: string }>\n\nexport type ModelOptions = AzureURL &\n  RouteDefaultsInput &\n  ProviderAuthOption<\"optional\"> & {\n    readonly apiVersion?: string\n    readonly queryParams?: Record<string, string>\n    readonly useCompletionUrls?: boolean\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\nexport type Config = ModelOptions\n\nexport type Settings = ProviderPackage.Settings &\n  AzureURL & {\n    readonly apiKey?: string\n    readonly apiVersion?: string\n    readonly queryParams?: Readonly<Record<string, string>>\n    readonly providerOptions?: OpenAIProviderOptionsInput\n  }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai/v1`\n\nconst responsesRoute = OpenAIResponses.route.with({\n  id: \"azure-openai-responses\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nconst chatRoute = OpenAIChat.route.with({\n  id: \"azure-openai-chat\",\n  provider: id,\n  auth: routeAuth,\n  endpoint: {\n    query: { \"api-version\": \"v1\" },\n  },\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n  const {\n    apiKey: _,\n    apiVersion: _apiVersion,\n    resourceName: _resourceName,\n    useCompletionUrls: _useCompletionUrls,\n    baseURL: _baseURL,\n    queryParams: _queryParams,\n    ...rest\n  } = input\n  if (\"auth\" in rest) {\n    const { auth: _, ...withoutAuth } = rest\n    return withoutAuth\n  }\n  return rest\n}\n\nconst auth = (input: Config) => {\n  if (\"auth\" in input && input.auth) return input.auth\n  return Auth.remove(\"authorization\").andThen(\n    Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n      .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n      .pipe(Auth.header(\"api-key\")),\n  )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) =>\n  route.with({\n    auth: auth(input),\n    endpoint: {\n      // AtLeastOne guarantees at least one is set; baseURL wins if both are.\n      baseURL: input.baseURL ?? resourceBaseURL(input.resourceName!),\n      query: {\n        ...(input.apiVersion ? { \"api-version\": input.apiVersion } : {}),\n        ...input.queryParams,\n      },\n    },\n  })\n\nexport const configure = (input: Config) => {\n  const configuredResponsesRoute = configuredRoute(responsesRoute, input)\n  const configuredChatRoute = configuredRoute(chatRoute, input)\n  const modelDefaults = defaults(input)\n\n  const responses = (modelID: string | ModelID) =>\n    configuredResponsesRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })\n\n  const chat = (modelID: string | ModelID) =>\n    configuredChatRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })\n\n  return {\n    id,\n    model: (modelID: string | ModelID) => (input.useCompletionUrls === true ? chat(modelID) : responses(modelID)),\n    responses,\n    chat,\n    configure,\n  }\n}\n\nexport const provider = {\n  id,\n  configure,\n}\n\nconst config = (settings: Settings): Config => {\n  const common = {\n    apiKey: settings.apiKey,\n    apiVersion: settings.apiVersion,\n    headers: settings.headers === undefined ? undefined : { ...settings.headers },\n    http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n    limits: settings.limits,\n    providerOptions: settings.providerOptions,\n    queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n  }\n  if (settings.baseURL !== undefined) return { ...common, baseURL: settings.baseURL }\n  if (settings.resourceName !== undefined) return { ...common, resourceName: settings.resourceName }\n  throw new Error(\"Azure requires resourceName or baseURL\")\n}\n\nexport const responsesModel: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) =>\n  configure(config(settings)).responses(modelID)\nexport const chatModel: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) =>\n  configure(config(settings)).chat(modelID)\nexport const model = responsesModel\n"
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bin/chunk-yxztsbsh.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/core/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\n\nconst integrationID = \"opencode\"\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n  Commands.commands.console.commands.login,\n  Effect.fn(\"cli.console.login\")(function* (input) {\n    const timeline = yield* Effect.acquireRelease(\n      Effect.promise(() => createTimelineHost()),\n      (value) => request(() => value.close()).pipe(Effect.ignore),\n    )\n    const exit = yield* login(timeline, Option.getOrUndefined(input.url)).pipe(\n      Effect.raceFirst(AppProcess.waitForAbort(timeline.signal)),\n      Effect.exit,\n    )\n    if (Exit.isSuccess(exit)) return\n\n    const cancelled = timeline.signal.aborted\n    yield* request(() => timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(exit.cause))).pipe(\n      Effect.ignore,\n    )\n    process.exitCode = cancelled ? 130 : 1\n  }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n  yield* request(() => timeline.intro(\"Log in\"))\n  yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n  const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n  const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n  const method = yield* required(\n    integration.methods.find((candidate) => candidate.type === \"oauth\"),\n    \"OpenCode Console login is unavailable\",\n  )\n\n  yield* request(() => timeline.pending(\"Starting authorization...\"))\n  const started = yield* request((signal) =>\n    client.integration.oauth.connect(\n      {\n        integrationID,\n        methodID: method.id,\n        inputs: server ? { server } : {},\n        location,\n      },\n      { signal },\n    ),\n  )\n  const attempt = started.data\n  yield* Effect.addFinalizer(() =>\n    request(() =>\n      client.integration.oauth.cancel(\n        { integrationID, attemptID: attempt.attemptID, location },\n        { signal: AbortSignal.timeout(5_000) },\n      ),\n    ).pipe(Effect.ignore),\n  )\n  if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n  yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n  yield* request(() => timeline.item(attempt.instructions))\n  yield* request(async () => {\n    const { default: open } = await import(\"open\")\n    await open(attempt.url)\n  }).pipe(Effect.ignore)\n  yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n  const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n  if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n  if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n  yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n  yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n  client: OpenCodeClient,\n  integrationID: string,\n  attemptID: string,\n) {\n  while (true) {\n    const response = yield* request((signal) =>\n      client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n    )\n    if (response.data.status !== \"pending\") return response.data\n    yield* Effect.sleep(500)\n  }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n  return Effect.tryPromise({\n    try: task,\n    catch: (cause) => cause,\n  })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n  return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n\nfunction errorMessage(cause: Cause.Cause<unknown>) {\n  const error = Cause.squash(cause)\n  if (error instanceof Error) return error.message\n  if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\") {\n    return error.message\n  }\n  return String(error)\n}\n"
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-  "debugId": "98964E59AFE65F9964756E2164756E21",
-  "names": []
-}

No alert changes

Improved metrics

Total package byte prevSize

216551051

0.01%

No dependency changes