@opencode-ai/cli-linux-arm64
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@opencode-ai/cli-linux-arm64 - npm Package Compare versions
| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
| ], | ||
| "mappings": "", | ||
| "debugId": "DE8A9E934F6D7FC864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/add.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { mkdir, readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Npm } from \"@opencode-ai/util/npm\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { resolveConfigPath } from \"../mcp/add\"\nimport { Config } from \"../../../config\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.add,\n Effect.fn(\"cli.plugin.add\")(function* (input) {\n if (!(yield* Effect.promise(() => Npm.isRegistryPackage(input.package))))\n return yield* Effect.fail(\n new Error(\"Plugin target must be an npm registry package name, version, tag, or semver range\"),\n )\n const npm = yield* Npm.Service\n const installed = yield* npm.add(input.package, { subpaths: [\"server\", \"\"] })\n const tui = yield* npm.resolve(input.package, { subpaths: [\"tui\"] })\n const target = configurationTarget(installed.entrypoint, tui.entrypoint)\n if (!target)\n return yield* Effect.fail(new Error(`Plugin package has no server or TUI entrypoint: ${input.package}`))\n\n if (target === \"server\") {\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n const changed = yield* Effect.promise(() => writePluginConfig(configPath, input.package))\n process.stdout.write(\n changed\n ? `Plugin \"${input.package}\" installed and added to ${configPath}${EOL}`\n : `Plugin \"${input.package}\" is already configured in ${configPath}${EOL}`,\n )\n return\n }\n\n const config = yield* Config.Service\n yield* config.update((draft) => {\n if (configured(draft.plugins, input.package)) return\n draft.plugins = [...(draft.plugins ?? []), input.package]\n })\n process.stdout.write(`TUI plugin \"${input.package}\" installed and added to ${config.path}${EOL}`)\n }),\n)\n\nexport function configurationTarget(server?: string, tui?: string) {\n if (server) return \"server\" as const\n if (tui) return \"tui\" as const\n}\n\nexport async function writePluginConfig(configPath: string, spec: string) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return \"{}\"\n throw error\n })\n const errors: ParseError[] = []\n const config: unknown = parse(text, errors, { allowTrailingComma: true })\n if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n throw new Error(`Invalid global configuration: ${configPath}`)\n const plugins = \"plugins\" in config ? config.plugins : undefined\n if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n if (configured(plugins, spec)) return false\n\n const updated = applyEdits(\n text,\n modify(text, [\"plugins\"], [...(plugins ?? []), spec], { formattingOptions: { tabSize: 2, insertSpaces: true } }),\n )\n await mkdir(path.dirname(configPath), { recursive: true })\n const temporary = configPath + \".tmp\"\n await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n await rename(temporary, configPath)\n return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n return plugins?.some(\n (entry) =>\n entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec),\n )\n}\n" | ||
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| "debugId": "D5F9E58D4849651164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mcp/add.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, stat, writeFile } from \"node:fs/promises\"\nimport { Effect, Option } from \"effect\"\nimport { applyEdits, modify } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\n\nexport default Runtime.handler(\n Commands.commands.mcp.commands.add,\n Effect.fn(\"cli.mcp.add\")(function* (input) {\n const url = Option.getOrUndefined(input.url)\n const headers = Option.getOrUndefined(input.header)\n const environment = Option.getOrUndefined(input.env)\n // The CLI framework strands `--` operands on the root command, so read the local server command\n // straight from argv after `--`. This also lets the command carry its own flags (e.g. `npx -y`).\n const dash = process.argv.indexOf(\"--\")\n const command = dash === -1 ? [...input.command] : process.argv.slice(dash + 1)\n\n const hasCommand = command.length > 0\n if (url && hasCommand)\n return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --, not both\"))\n if (!url && !hasCommand) return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --\"))\n if (url && !URL.canParse(url)) return yield* Effect.fail(new Error(`Invalid URL: ${url}`))\n if (url && environment) return yield* Effect.fail(new Error(\"--env is only valid for local MCP servers\"))\n if (hasCommand && headers) return yield* Effect.fail(new Error(\"--header is only valid for remote MCP servers\"))\n\n const server = url\n ? { type: \"remote\" as const, url, ...(headers ? { headers } : {}) }\n : { type: \"local\" as const, command, ...(environment ? { environment } : {}) }\n\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(input.global ? global.config : process.cwd()))\n yield* Effect.promise(() => write(configPath, input.name, server))\n process.stdout.write(`MCP server \"${input.name}\" added to ${configPath}` + EOL)\n }),\n)\n\nexport async function resolveConfigPath(directory: string) {\n const candidates = [\n path.join(directory, \"opencode.json\"),\n path.join(directory, \"opencode.jsonc\"),\n path.join(directory, \".opencode\", \"opencode.json\"),\n path.join(directory, \".opencode\", \"opencode.jsonc\"),\n ]\n for (const candidate of candidates) {\n if (\n await stat(candidate).then(\n (info) => info.isFile(),\n () => false,\n )\n )\n return candidate\n }\n return candidates[0]\n}\n\nasync function write(configPath: string, name: string, server: unknown) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return \"{}\"\n throw error\n })\n const edits = modify(text, [\"mcp\", \"servers\", name], server, {\n formattingOptions: { tabSize: 2, insertSpaces: true },\n })\n await writeFile(configPath, applyEdits(text, edits))\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/amazon-bedrock-mantle.ts"], | ||
| "sourcesContent": [ | ||
| "import { Auth } from \"../route/auth.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAIChat } from \"../protocols/openai-chat.js\"\nimport { OpenAIResponses } from \"../protocols/openai-responses.js\"\nimport { BedrockAuth, type Credentials } from \"../protocols/utils/bedrock-auth.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly credentials?: Credentials\n readonly region?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly auth?: \"bearer\" | \"sigv4\"\n readonly baseURL?: string\n readonly credentials?: Credentials\n readonly region?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst responsesRoute = OpenAIResponses.route.with({\n id: \"bedrock-mantle-responses\",\n provider: id,\n})\n\nconst chatRoute = OpenAIChat.route.with({\n id: \"bedrock-mantle-chat\",\n provider: id,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) => {\n const region = input.region ?? input.credentials?.region ?? \"us-east-1\"\n const credentials = input.credentials === undefined ? undefined : { ...input.credentials, region }\n return route.with({\n endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },\n auth:\n input.apiKey === undefined\n ? BedrockAuth.sigV4(credentials, { service: \"bedrock-mantle\", name: \"Bedrock Mantle\" })\n : Auth.bearer(input.apiKey),\n })\n}\n\nconst defaults = (input: Config) => {\n const { apiKey: _, baseURL: _baseURL, credentials: _credentials, region: _region, ...rest } = input\n return rest\n}\n\nexport const configure = (input: Config = {}) => {\n const configuredResponsesRoute = configuredRoute(responsesRoute, input)\n const configuredChatRoute = configuredRoute(chatRoute, input)\n const modelDefaults = defaults(input)\n const responses = (modelID: string | ModelID) =>\n configuredResponsesRoute\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n const chat = (modelID: string | ModelID) =>\n configuredChatRoute\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n return {\n id,\n model: chat,\n chat,\n responses,\n configure,\n }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n throw new Error(\"Amazon Bedrock Mantle bearer auth requires apiKey\")\n if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n throw new Error(\"Amazon Bedrock Mantle SigV4 auth does not accept apiKey\")\n return {\n apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n baseURL: settings.baseURL,\n credentials: settings.credentials,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n region: settings.region,\n }\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).responses(modelID)\nexport const model = chatModel\n" | ||
| ], | ||
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| "debugId": "66F6C76F1D1ADF0764756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/services/server-connection.ts"], | ||
| "sourcesContent": [ | ||
| "import { Service, type Endpoint, type EnsureOptions } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, isUnauthorizedError, OpenCode } from \"@opencode-ai/client/promise\"\nimport { OPENCODE_VERSION } from \"../version\"\nimport { Effect, Redacted } from \"effect\"\nimport { Env } from \"../env\"\nimport { ServiceConfig } from \"./service-config\"\nimport { Standalone } from \"./standalone\"\n\nexport type Args = {\n readonly server?: string\n readonly standalone?: boolean\n readonly mismatch?: \"replace\" | \"ignore\" | \"error\"\n readonly onStart?: EnsureOptions[\"onStart\"]\n}\n\nexport type Resolved = {\n readonly endpoint: Endpoint\n readonly service?: ReturnType<typeof managedService>\n}\n\nexport const resolve = Effect.fn(\"cli.server-connection.resolve\")(function* (args: Args) {\n if (args.server !== undefined && args.standalone)\n return yield* Effect.fail(new Error(\"--server and --standalone cannot be combined\"))\n if (args.server !== undefined) {\n const password = yield* Env.password\n const endpoint = {\n url: args.server,\n auth: password ? { type: \"basic\" as const, username: \"opencode\", password: Redacted.value(password) } : undefined,\n } satisfies Endpoint\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const health = yield* Effect.tryPromise({\n try: () => client.health.get({ signal: AbortSignal.timeout(5_000) }),\n catch: (cause) => connectError(endpoint, cause),\n })\n if (health.version !== OPENCODE_VERSION)\n process.stderr.write(\n `Warning: Server at ${endpoint.url} has version ${health.version}; this client is ${OPENCODE_VERSION}. Continuing anyway.\\n`,\n )\n return { endpoint } satisfies Resolved\n }\n if (args.standalone) {\n return { endpoint: yield* Standalone.start() } satisfies Resolved\n }\n\n const mismatch = args.mismatch ?? \"ignore\"\n const options = yield* ServiceConfig.options({ checkVersion: mismatch !== \"ignore\" })\n return {\n endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, mismatch),\n service: managedService(options),\n } satisfies Resolved\n})\n\nfunction managedService(options: EnsureOptions) {\n const reconnectOptions = { ...options, version: undefined }\n return {\n reconnect: () => Service.ensure(reconnectOptions),\n restart: () =>\n Effect.gen(function* () {\n yield* Service.stop(options)\n yield* Service.ensure(reconnectOptions)\n }),\n }\n}\n\nconst resolveManaged = Effect.fnUntraced(function* (options: EnsureOptions, mismatch: NonNullable<Args[\"mismatch\"]>) {\n if (mismatch === \"replace\") return yield* Service.ensure(options)\n if (mismatch === \"ignore\") return yield* Service.ensure({ ...options, version: undefined })\n\n const compatible = yield* Service.discover(options)\n if (compatible !== undefined) return compatible\n const existing = yield* Service.discover({ ...options, version: undefined })\n if (existing !== undefined)\n return yield* Effect.fail(new Error(\"Background server version does not match this client\"))\n return yield* Service.ensure(options)\n})\n\nfunction connectError(endpoint: Endpoint, cause: unknown) {\n if (isUnauthorizedError(cause)) {\n return new Error(\n endpoint.auth === undefined\n ? `Server at ${endpoint.url} requires a password; set OPENCODE_PASSWORD`\n : `Server at ${endpoint.url} rejected the password`,\n { cause },\n )\n }\n if (cause instanceof ClientError && cause.reason === \"Transport\")\n return new Error(`Could not reach server at ${endpoint.url}`, { cause })\n return new Error(`Server at ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n" | ||
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| "debugId": "2E97EAC2B7A4414164756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-images.ts", "../ai/src/providers/openai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest, HttpClientResponse } from \"effect/unstable/http\"\nimport {\n ImageModel,\n GeneratedImage,\n ImageResponse,\n type ImageInput,\n type ImageRequestFor,\n type ImageRoute,\n} from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type OpenAIImageString<Known extends string> = Known | (string & {})\n\nexport type OpenAIImageOptions = {\n readonly mask?: ImageInput\n readonly n?: number\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly moderation?: OpenAIImageString<\"auto\" | \"low\">\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly outputCompression?: number\n} & Record<string, unknown>\n\nexport type OpenAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst OpenAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: Schema.optional(Schema.String),\n url: Schema.optional(Schema.String),\n revised_prompt: Schema.optional(Schema.String),\n }),\n ),\n output_format: Schema.optional(Schema.String),\n usage: Schema.optional(\n Schema.Struct({\n input_tokens: Schema.optional(Schema.Number),\n output_tokens: Schema.optional(Schema.Number),\n total_tokens: Schema.optional(Schema.Number),\n input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n }),\n ),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: OpenAIImageOptions | undefined) => {\n if (!options) return undefined\n const { mask: _, outputFormat, outputCompression, ...native } = options\n return {\n output_format: outputFormat,\n output_compression: outputCompression,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<OpenAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequestFor<OpenAIImageOptions>, execute) {\n const mask = request.options?.mask\n if (mask !== undefined && (request.images?.length ?? 0) === 0)\n return yield* ImageInputs.invalid(ADAPTER, \"An OpenAI image mask requires at least one input image\")\n const http = mergeHttpOptions(request.model.http, request.http)\n const sourceImages = request.images ?? []\n const multipartImages = yield* Effect.forEach(sourceImages, (image) => {\n if (image.type === \"bytes\") return Effect.succeed({ data: image.data, mediaType: image.mediaType })\n if (image.type === \"url\") return ImageInputs.decodeDataUrl(image.url, ADAPTER)\n return Effect.undefined\n })\n const multipartMask =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { data: mask.data, mediaType: mask.mediaType }\n : mask.type === \"url\"\n ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)\n : undefined\n const useMultipart =\n sourceImages.length > 0 &&\n multipartImages.every((image) => image !== undefined) &&\n (mask === undefined || multipartMask !== undefined)\n const path = sourceImages.length === 0 ? PATH : EDIT_PATH\n const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${path}`, http?.query)\n\n if (useMultipart) {\n const form = new FormData()\n form.append(\"model\", request.model.id)\n form.append(\"prompt\", request.prompt)\n Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {\n if ([\"model\", \"prompt\", \"image\", \"image[]\", \"images\", \"mask\"].includes(key)) return\n form.append(key, typeof value === \"string\" ? value : ProviderShared.encodeJson(value))\n })\n multipartImages.forEach((image, index) => {\n if (image === undefined) return\n form.append(\"image[]\", imageBlob(image.data, image.mediaType), `image-${index}`)\n })\n if (multipartMask !== undefined)\n form.append(\"mask\", imageBlob(multipartMask.data, multipartMask.mediaType), \"mask\")\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: \"[multipart/form-data]\",\n headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), \"content-type\"),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }\n\n const references = sourceImages.map((image) => {\n if (image.type === \"bytes\") return { image_url: ImageInputs.dataUrl(image) }\n if (image.type === \"url\") return { image_url: image.url }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (references.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const maskReference =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { image_url: ImageInputs.dataUrl(mask) }\n : mask.type === \"url\"\n ? { image_url: mask.url }\n : mask.type === \"file-id\"\n ? { file_id: mask.id }\n : undefined\n if (mask !== undefined && maskReference === undefined)\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n images: references.length === 0 ? undefined : references,\n mask: maskReference,\n },\n nativeOptions(request.options),\n http?.body,\n ) as OpenAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }),\n }\n return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: \"openai\", route, http: input.http })\n}\n\nconst parseResponse = Effect.fn(\"OpenAIImages.parseResponse\")(function* (\n response: HttpClientResponse.HttpClientResponse,\n options: OpenAIImageOptions | undefined,\n overlay: Record<string, unknown> | undefined,\n) {\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the OpenAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"OpenAI Images returned an invalid response\")),\n )\n const requestBody = mergeJsonRecords(nativeOptions(options), overlay)\n const format =\n decoded.output_format ?? (typeof requestBody?.output_format === \"string\" ? requestBody.output_format : \"png\")\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType: `image/${format}`,\n data,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType: `image/${format}`,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"OpenAI Images returned no images\")\n return new ImageResponse({\n images,\n usage:\n decoded.usage === undefined\n ? undefined\n : new Usage({\n inputTokens: decoded.usage.input_tokens,\n outputTokens: decoded.usage.output_tokens,\n totalTokens: decoded.usage.total_tokens,\n providerMetadata: { openai: decoded.usage },\n }),\n providerMetadata: { openai: { outputFormat: format } },\n })\n})\n\nconst imageBlob = (data: Uint8Array, mediaType: string) => {\n const buffer = new ArrayBuffer(data.byteLength)\n new Uint8Array(buffer).set(data)\n return new Blob([buffer], { type: mediaType })\n}\n\nexport const OpenAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images.js\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options.js\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images.js\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly queryParams?: Record<string, string>\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface ImageGenerationOptions {\n readonly action?: OpenAIImageString<\"auto\" | \"generate\" | \"edit\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly inputFidelity?: OpenAIImageString<\"low\" | \"high\">\n readonly outputCompression?: number\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly partialImages?: number\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n ToolDefinition.make({\n name: \"image_generation\",\n description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n native: {\n openai: {\n type: \"image_generation\",\n action: options.action,\n background: options.background,\n input_fidelity: options.inputFidelity,\n output_compression: options.outputCompression,\n output_format: options.outputFormat,\n partial_images: options.partialImages,\n quality: options.quality,\n size: options.size,\n },\n },\n })\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly organization?: string\n readonly project?: string\n readonly queryParams?: Readonly<Record<string, string>>\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input\n return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n route.with({\n auth: auth(input),\n endpoint: { baseURL: input.baseURL, query: input.queryParams },\n })\n\nexport const configure = (input: Config = {}) => {\n const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n const chatRoute = configuredRoute(OpenAIChat.route, input)\n const modelDefaults = defaults(input)\n const responses = (id: string | ModelID) =>\n responsesRoute\n .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n .model<OpenAIProviderOptionsInput>({ id })\n const chat = (id: string | ModelID) =>\n chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })\n const image = (modelID: string | ModelID) =>\n OpenAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL,\n headers: input.headers,\n http: mergeHttpOptions(\n input.http === undefined ? undefined : HttpOptions.make(input.http),\n input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),\n ),\n })\n\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n const headers = {\n ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n ...settings.headers,\n }\n return {\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: Object.keys(headers).length === 0 ? undefined : headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n }\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n return configure(config(settings)).responses(modelID)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
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| ||
| "debugId": "367C7BB6EFDAF5B464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/google-images.ts", "../ai/src/providers/google.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport {\n GeneratedImage,\n ImageModel,\n ImageResponse,\n type ImageInput,\n type ImageRequestFor,\n type ImageRoute,\n} from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n type ProviderMetadata,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\n\nconst ADAPTER = \"google-images\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\nexport type GoogleImageString<Known extends string> = Known | (string & {})\n\nexport type GoogleImageOptions = {\n readonly aspectRatio?: GoogleImageString<\n \"1:1\" | \"2:3\" | \"3:2\" | \"3:4\" | \"4:3\" | \"4:5\" | \"5:4\" | \"9:16\" | \"16:9\" | \"21:9\"\n >\n readonly imageSize?: GoogleImageString<\"1K\" | \"2K\" | \"4K\">\n readonly seed?: number\n readonly thinkingLevel?: GoogleImageString<\"MINIMAL\" | \"LOW\" | \"MEDIUM\" | \"HIGH\">\n readonly includeThoughts?: boolean\n} & Record<string, unknown>\n\nexport type GoogleImageBody = Record<string, unknown> & {\n readonly contents: ReadonlyArray<{\n readonly role: \"user\"\n readonly parts: ReadonlyArray<Record<string, unknown>>\n }>\n readonly generationConfig: Record<string, unknown>\n}\n\nconst GoogleUsage = Schema.StructWithRest(\n Schema.Struct({\n cachedContentTokenCount: Schema.optional(Schema.Number),\n thoughtsTokenCount: Schema.optional(Schema.Number),\n promptTokenCount: Schema.optional(Schema.Number),\n candidatesTokenCount: Schema.optional(Schema.Number),\n totalTokenCount: Schema.optional(Schema.Number),\n promptTokensDetails: Schema.optional(Schema.Unknown),\n candidatesTokensDetails: Schema.optional(Schema.Unknown),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst GoogleImageResponse = Schema.Struct({\n candidates: Schema.optional(\n Schema.Array(\n Schema.Struct({\n index: Schema.optional(Schema.Number),\n content: Schema.optional(\n Schema.Struct({\n parts: Schema.Array(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n thought: Schema.optional(Schema.Boolean),\n thoughtSignature: Schema.optional(Schema.String),\n inlineData: Schema.optional(\n Schema.Struct({\n mimeType: Schema.String,\n data: Schema.String,\n }),\n ),\n }),\n ),\n }),\n ),\n finishReason: Schema.optional(Schema.String),\n finishMessage: Schema.optional(Schema.String),\n safetyRatings: Schema.optional(Schema.Unknown),\n citationMetadata: Schema.optional(Schema.Unknown),\n groundingMetadata: Schema.optional(Schema.Unknown),\n }),\n ),\n ),\n usageMetadata: Schema.optional(GoogleUsage),\n modelVersion: Schema.optional(Schema.String),\n responseId: Schema.optional(Schema.String),\n promptFeedback: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: GoogleImageOptions | undefined) => {\n const { aspectRatio, imageSize, seed, thinkingLevel, includeThoughts, ...native } = options ?? {}\n const image = {\n aspectRatio,\n imageSize,\n }\n const thinkingConfig = {\n thinkingLevel,\n includeThoughts,\n }\n return (\n mergeJsonRecords(\n {\n responseModalities: [\"IMAGE\"],\n imageConfig: Object.values(image).some((value) => value !== undefined) ? image : undefined,\n seed,\n thinkingConfig: Object.values(thinkingConfig).some((value) => value !== undefined) ? thinkingConfig : undefined,\n },\n native,\n ) ?? { responseModalities: [\"IMAGE\"] }\n )\n}\n\nconst invalidOutput = (message: string, providerMetadata?: ProviderMetadata) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER, providerMetadata }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<GoogleImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"GoogleImages.generate\")(function* (request: ImageRequestFor<GoogleImageOptions>, execute) {\n const imageParts = yield* Effect.forEach(request.images ?? [], googleImagePart)\n const http = mergeHttpOptions(request.model.http, request.http)\n const requestBody = mergeJsonRecords(\n {\n contents: [{ role: \"user\", parts: [{ text: request.prompt }, ...imageParts] }],\n generationConfig: nativeOptions(request.options),\n },\n http?.body,\n ) as GoogleImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const url = applyQuery(\n `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}/models/${request.model.id}:generateContent`,\n http?.query,\n )\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the Google Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(GoogleImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"Google Images returned an invalid response\")),\n )\n const candidates = decoded.candidates ?? []\n const candidateMetadata = candidates.map((candidate, candidateIndex) => ({\n index: candidate.index ?? candidateIndex,\n finishReason: candidate.finishReason,\n finishMessage: candidate.finishMessage,\n safetyRatings: candidate.safetyRatings,\n citationMetadata: candidate.citationMetadata,\n groundingMetadata: candidate.groundingMetadata,\n parts: (candidate.content?.parts ?? []).map((part) =>\n part.inlineData === undefined\n ? {\n type: \"text\",\n text: part.text,\n thought: part.thought,\n thoughtSignature: part.thoughtSignature,\n }\n : {\n type: \"inlineData\",\n mediaType: part.inlineData.mimeType,\n thought: part.thought,\n thoughtSignature: part.thoughtSignature,\n },\n ),\n }))\n const encoded = candidates.flatMap((candidate, candidateIndex) =>\n (candidate.content?.parts ?? []).flatMap((part, partIndex) =>\n part.inlineData === undefined || part.thought === true\n ? []\n : [{ candidate, candidateIndex, partIndex, inlineData: part.inlineData }],\n ),\n )\n const images = yield* Effect.forEach(encoded, (item) =>\n Effect.fromResult(Encoding.decodeBase64(item.inlineData.data)).pipe(\n Effect.mapError(() =>\n invalidOutput(\n `Google Images candidate ${item.candidateIndex} part ${item.partIndex} contains invalid base64 data`,\n ),\n ),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType: item.inlineData.mimeType,\n data,\n providerMetadata: {\n google: {\n candidateIndex: item.candidate.index ?? item.candidateIndex,\n partIndex: item.partIndex,\n finishReason: item.candidate.finishReason,\n safetyRatings: item.candidate.safetyRatings,\n citationMetadata: item.candidate.citationMetadata,\n groundingMetadata: item.candidate.groundingMetadata,\n thoughtSignature: item.candidate.content?.parts[item.partIndex]?.thoughtSignature,\n },\n },\n }),\n ),\n ),\n )\n if (images.length === 0) {\n const finishReasons = candidates.flatMap((candidate) =>\n candidate.finishReason === undefined ? [] : [candidate.finishReason],\n )\n return yield* invalidOutput(\n `Google Images returned no final images${\n finishReasons.length === 0 ? \"\" : ` (finish reasons: ${finishReasons.join(\", \")})`\n }; inspect reason.providerMetadata.google for prompt feedback and candidate details`,\n {\n google: {\n promptFeedback: decoded.promptFeedback,\n candidates: candidateMetadata,\n },\n },\n )\n }\n const usage = decoded.usageMetadata\n const outputTokens =\n usage?.candidatesTokenCount === undefined\n ? undefined\n : usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0)\n return new ImageResponse({\n images,\n usage:\n usage === undefined\n ? undefined\n : new Usage({\n inputTokens: usage.promptTokenCount,\n outputTokens,\n nonCachedInputTokens: ProviderShared.subtractTokens(\n usage.promptTokenCount,\n usage.cachedContentTokenCount,\n ),\n cacheReadInputTokens: usage.cachedContentTokenCount,\n reasoningTokens: usage.thoughtsTokenCount,\n totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n providerMetadata: { google: usage },\n }),\n providerMetadata: {\n google: {\n modelVersion: decoded.modelVersion,\n responseId: decoded.responseId,\n promptFeedback: decoded.promptFeedback,\n candidates: candidateMetadata,\n },\n },\n })\n }),\n }\n return ImageModel.make<GoogleImageOptions>({ id: input.id, provider: \"google\", route, http: input.http })\n}\n\nconst googleImagePart = (image: ImageInput): Effect.Effect<Record<string, unknown>, AIError> => {\n if (image.type === \"bytes\")\n return Effect.succeed({ inlineData: { mimeType: image.mediaType, data: Encoding.encodeBase64(image.data) } })\n if (image.type === \"file-uri\") return Effect.succeed({ fileData: { mimeType: image.mediaType, fileUri: image.uri } })\n if (image.type === \"url\")\n return ImageInputs.decodeDataUrl(image.url, ADAPTER).pipe(\n Effect.flatMap((decoded) => {\n if (decoded === undefined)\n return Effect.fail(\n ImageInputs.invalid(\n ADAPTER,\n \"Google generateContent does not fetch public image URLs; use bytes, a data URL, or a Gemini file URI\",\n ),\n )\n return Effect.succeed({\n inlineData: { mimeType: decoded.mediaType, data: Encoding.encodeBase64(decoded.data) },\n })\n }),\n )\n return Effect.fail(\n ImageInputs.invalid(ADAPTER, \"Google generateContent requires Gemini file URIs rather than provider file IDs\"),\n )\n}\n\nexport const GoogleImages = {\n model,\n} as const\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { GoogleImages } from \"../protocols/google-images.js\"\n\nexport type { GoogleImageOptions } from \"../protocols/google-images.js\"\nexport type GeminiOptionsInput = Gemini.OptionsInput\nexport type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput\n\nexport const id = ProviderID.make(\"google\")\n\nexport const routes = [Gemini.route]\n\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: Gemini.ProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: Gemini.ProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n if (\"auth\" in options && options.auth) return options.auth\n return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n .orElse(Auth.config(\"GOOGLE_GENERATIVE_AI_API_KEY\"))\n .pipe(Auth.header(\"x-goog-api-key\"))\n}\n\nconst configuredRoute = (input: Config) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return Gemini.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n const image = (modelID: string | ModelID) =>\n GoogleImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL,\n headers: input.headers,\n http: mergeHttpOptions(input.http === undefined ? undefined : HttpOptions.make(input.http)),\n })\n return {\n id,\n model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),\n image,\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n\nexport const image = provider.image\n" | ||
| ], | ||
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| ||
| "debugId": "EE0A09CBA6F7655B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex-messages.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema, Struct } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nconst VERSION = \"vertex-2023-10-16\" as const\nconst HEADER_VERSION = \"2023-06-01\" as const\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n}\n\nconst route = Route.make({\n id: \"google-vertex-messages\",\n provider: id,\n providerMetadataKey: \"anthropic\",\n protocol: Protocol.make({\n id: AnthropicMessages.protocol.id,\n body: {\n schema: Schema.Struct({\n ...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, [\"model\"]),\n anthropic_version: Schema.Literal(VERSION),\n }),\n from: (request) =>\n AnthropicMessages.protocol.body.from(request).pipe(\n Effect.map((body) => ({\n ...Struct.omit(body, [\"model\"]),\n anthropic_version: VERSION,\n })),\n ),\n },\n stream: AnthropicMessages.protocol.stream,\n }),\n endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),\n auth: Auth.none,\n framing: AnthropicMessages.framing,\n headers: () => ({ \"anthropic-version\": HEADER_VERSION }),\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined)\n throw new Error(\"Google Vertex Messages does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Messages does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
| ], | ||
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| "debugId": "D4FB3049BC09D5AA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/bedrock-event-stream.ts", "../ai/src/protocols/utils/bedrock-cache.ts", "../ai/src/protocols/utils/bedrock-media.ts", "../ai/src/protocols/bedrock-converse.ts", "../ai/src/providers/amazon-bedrock.ts"], | ||
| "sourcesContent": [ | ||
| "import { EventStreamCodec } from \"@smithy/eventstream-codec\"\nimport { fromUtf8, toUtf8 } from \"@smithy/util-utf8\"\nimport { Effect, Stream } from \"effect\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderShared } from \"./shared.js\"\n\n// Bedrock streams responses using the AWS event stream binary protocol — each\n// frame is `[length:4][headers-length:4][prelude-crc:4][headers][payload][crc:4]`.\n// We use `@smithy/eventstream-codec` to validate framing and CRCs, then\n// reconstruct the JSON wrapping by `:event-type` so the chunk schema can match.\nconst eventCodec = new EventStreamCodec(toUtf8, fromUtf8)\nconst utf8 = new TextDecoder()\n\n// Cursor-tracking buffer state. Bytes accumulate in `buffer`; `offset` is the\n// read position. Reading by `subarray` is zero-copy. We only allocate a fresh\n// buffer when a new network chunk arrives and we need to append.\ninterface FrameBufferState {\n readonly buffer: Uint8Array\n readonly offset: number\n}\n\nconst initialFrameBuffer: FrameBufferState = { buffer: new Uint8Array(0), offset: 0 }\n\nconst appendChunk = (state: FrameBufferState, chunk: Uint8Array): FrameBufferState => {\n const remaining = state.buffer.length - state.offset\n // Compact: drop the consumed prefix and append the new chunk in one alloc.\n // This bounds buffer growth to at most one network chunk past the live\n // window, regardless of stream length.\n const next = new Uint8Array(remaining + chunk.length)\n next.set(state.buffer.subarray(state.offset), 0)\n next.set(chunk, remaining)\n return { buffer: next, offset: 0 }\n}\n\nconst consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8Array) =>\n Effect.gen(function* () {\n let cursor = appendChunk(state, chunk)\n const out: object[] = []\n while (cursor.buffer.length - cursor.offset >= 4) {\n const view = cursor.buffer.subarray(cursor.offset)\n const totalLength = new DataView(view.buffer, view.byteOffset, view.byteLength).getUint32(0, false)\n if (view.length < totalLength) break\n\n const decoded = yield* Effect.try({\n try: () => eventCodec.decode(view.subarray(0, totalLength)),\n catch: (error) =>\n ProviderShared.eventError(\n route,\n `Failed to decode Bedrock Converse event-stream frame: ${\n error instanceof Error ? error.message : String(error)\n }`,\n ),\n })\n cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }\n\n const messageType = decoded.headers[\":message-type\"]?.value\n if (messageType === \"error\") {\n const code = decoded.headers[\":error-code\"]?.value\n const message = decoded.headers[\":error-message\"]?.value\n return yield* ProviderShared.eventError(\n route,\n [code, message].filter((value): value is string => typeof value === \"string\").join(\": \") ||\n \"Bedrock Converse event-stream error\",\n )\n }\n const eventType =\n messageType === \"event\"\n ? decoded.headers[\":event-type\"]?.value\n : messageType === \"exception\"\n ? decoded.headers[\":exception-type\"]?.value\n : undefined\n if (typeof eventType !== \"string\") continue\n const payload = utf8.decode(decoded.body)\n if (!payload) continue\n // The AWS event stream pads short payloads with a `p` field. Drop it\n // before handing the object to the chunk schema. JSON decode goes\n // through the shared Schema-driven codec to satisfy the package rule\n // against ad-hoc `JSON.parse` calls.\n const parsed = (yield* ProviderShared.parseJson(\n route,\n payload,\n \"Failed to parse Bedrock Converse event-stream payload\",\n )) as Record<string, unknown>\n delete parsed.p\n out.push({ [eventType]: parsed })\n }\n return [cursor, out] as const\n })\n\n/**\n * AWS event-stream framing for Bedrock Converse. Each frame is decoded by\n * `@smithy/eventstream-codec` (length + header + payload + CRC) and rewrapped\n * under its `:event-type` header so the chunk schema can match the JSON\n * payload directly.\n */\nexport const framing = (route: string): Framing.Definition<object> => ({\n id: \"aws-event-stream\",\n frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),\n})\n\nexport * as BedrockEventStream from \"./bedrock-event-stream.js\"\n", | ||
| "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema/index.js\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache.js\"\n\n// Bedrock cache markers are positional: emit a `cachePoint` block immediately\n// after the content the caller wants treated as a cacheable prefix. Bedrock\n// accepts optional `ttl: \"5m\" | \"1h\"` on cachePoint.\nexport const CachePointBlock = Schema.Struct({\n cachePoint: Schema.Struct({\n type: Schema.tag(\"default\"),\n ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n }),\n})\nexport type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>\n\n// Callers pass a shared counter through every `block()` call site so the\n// four-breakpoint budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache.js\"\nexport const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)\n\nconst DEFAULT_5M: CachePointBlock = { cachePoint: { type: \"default\" } }\nconst DEFAULT_1H: CachePointBlock = { cachePoint: { type: \"default\", ttl: \"1h\" } }\n\nexport const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {\n if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n if (breakpoints.remaining <= 0) {\n breakpoints.dropped += 1\n return undefined\n }\n breakpoints.remaining -= 1\n return ttlBucket(cache.ttlSeconds) === \"1h\" ? DEFAULT_1H : DEFAULT_5M\n}\n\nexport * as BedrockCache from \"./bedrock-cache.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema/index.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n// Bedrock Converse accepts image `format` as the file extension and\n// `source.bytes` as base64 in the JSON wire format.\nexport const ImageFormat = Schema.Literals([\"png\", \"jpeg\", \"gif\", \"webp\"])\nexport type ImageFormat = Schema.Schema.Type<typeof ImageFormat>\n\nexport const ImageBlock = Schema.Struct({\n image: Schema.Struct({\n format: ImageFormat,\n source: Schema.Struct({ bytes: Schema.String }),\n }),\n})\nexport type ImageBlock = Schema.Schema.Type<typeof ImageBlock>\n\n// Bedrock document blocks require a user-facing name so the model can refer to\n// the uploaded document.\nexport const DocumentFormat = Schema.Literals([\"pdf\", \"csv\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"html\", \"txt\", \"md\"])\nexport type DocumentFormat = Schema.Schema.Type<typeof DocumentFormat>\n\nexport const DocumentBlock = Schema.Struct({\n document: Schema.Struct({\n format: DocumentFormat,\n name: Schema.String,\n source: Schema.Struct({ bytes: Schema.String }),\n }),\n})\nexport type DocumentBlock = Schema.Schema.Type<typeof DocumentBlock>\n\nconst IMAGE_FORMATS = {\n \"image/png\": \"png\",\n \"image/jpeg\": \"jpeg\",\n \"image/jpg\": \"jpeg\",\n \"image/gif\": \"gif\",\n \"image/webp\": \"webp\",\n} as const satisfies Record<string, ImageFormat>\n\nconst DOCUMENT_FORMATS = {\n \"application/pdf\": \"pdf\",\n \"text/csv\": \"csv\",\n \"application/msword\": \"doc\",\n \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\": \"docx\",\n \"application/vnd.ms-excel\": \"xls\",\n \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\": \"xlsx\",\n \"text/html\": \"html\",\n \"text/plain\": \"txt\",\n \"text/markdown\": \"md\",\n} as const satisfies Record<string, DocumentFormat>\n\nconst documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({\n document: {\n format,\n name,\n source: { bytes },\n },\n})\n\n// Route by MIME. Known image/document formats lower into a typed block; anything\n// else fails with a clear error instead of silently degrading to a malformed\n// document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)\n// get an image-specific error so the caller knows it's a format-support issue,\n// not a kind-detection issue.\nexport const lower = Effect.fn(\"BedrockMedia.lower\")(function* (part: MediaPart) {\n const mime = part.mediaType.toLowerCase()\n const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]\n if (imageFormat) {\n const media = ProviderShared.normalizeMedia(part)\n return { image: { format: imageFormat, source: { bytes: media.base64 } } } satisfies ImageBlock\n }\n if (mime.startsWith(\"image/\"))\n return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)\n const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]\n if (documentFormat) {\n if (!part.filename)\n return yield* ProviderShared.invalidRequest(\"Bedrock Converse document media requires a filename\")\n const media = ProviderShared.normalizeMedia(part)\n return documentBlock(part.filename, documentFormat, media.base64)\n }\n return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)\n})\n\nexport * as BedrockMedia from \"./bedrock-media.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n Usage,\n type CacheHint,\n type FinishReason,\n type FinishReasonDetails,\n type JsonSchema,\n type LLMRequest,\n type LanguageModelToolSchemaCompatibility,\n type ProviderMetadata,\n type ReasoningPart,\n type ToolCallPart,\n type ToolDefinition,\n type ToolResultPart,\n} from \"../schema/index.js\"\nimport { BedrockEventStream } from \"./bedrock-event-stream.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { BedrockAuth } from \"./utils/bedrock-auth.js\"\nimport { BedrockCache } from \"./utils/bedrock-cache.js\"\nimport { BedrockMedia } from \"./utils/bedrock-media.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth.js\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst BedrockTextBlock = Schema.Struct({\n text: Schema.String,\n})\ntype BedrockTextBlock = Schema.Schema.Type<typeof BedrockTextBlock>\n\nconst BedrockToolUseBlock = Schema.Struct({\n toolUse: Schema.Struct({\n toolUseId: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n }),\n})\ntype BedrockToolUseBlock = Schema.Schema.Type<typeof BedrockToolUseBlock>\n\nconst BedrockToolResultContentItem = Schema.Union([\n Schema.Struct({ text: Schema.String }),\n Schema.Struct({ json: Schema.Unknown }),\n BedrockMedia.ImageBlock,\n BedrockMedia.DocumentBlock,\n])\n\nconst BedrockToolResultBlock = Schema.Struct({\n toolResult: Schema.Struct({\n toolUseId: Schema.String,\n content: Schema.Array(BedrockToolResultContentItem),\n status: Schema.optional(Schema.Literals([\"success\", \"error\"])),\n }),\n})\ntype BedrockToolResultBlock = Schema.Schema.Type<typeof BedrockToolResultBlock>\n\nconst BedrockReasoningBlock = Schema.Struct({\n reasoningContent: Schema.Union([\n Schema.Struct({\n reasoningText: Schema.Struct({\n text: Schema.String,\n signature: Schema.optional(Schema.String),\n }),\n }),\n Schema.Struct({ redactedContent: Schema.String }),\n ]),\n})\n\nconst BedrockUserBlock = Schema.Union([\n BedrockTextBlock,\n BedrockMedia.ImageBlock,\n BedrockMedia.DocumentBlock,\n BedrockToolResultBlock,\n BedrockCache.CachePointBlock,\n])\ntype BedrockUserBlock = Schema.Schema.Type<typeof BedrockUserBlock>\n\nconst BedrockAssistantBlock = Schema.Union([\n BedrockTextBlock,\n BedrockReasoningBlock,\n BedrockToolUseBlock,\n BedrockCache.CachePointBlock,\n])\ntype BedrockAssistantBlock = Schema.Schema.Type<typeof BedrockAssistantBlock>\n\nconst BedrockMessage = Schema.Union([\n Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(BedrockUserBlock) }),\n Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(BedrockAssistantBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype BedrockMessage = Schema.Schema.Type<typeof BedrockMessage>\n\nconst BedrockSystemBlock = Schema.Union([BedrockTextBlock, BedrockCache.CachePointBlock])\ntype BedrockSystemBlock = Schema.Schema.Type<typeof BedrockSystemBlock>\n\nconst BedrockToolSpec = Schema.Struct({\n toolSpec: Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n inputSchema: Schema.Struct({\n json: JsonObject,\n }),\n }),\n})\ntype BedrockToolSpec = Schema.Schema.Type<typeof BedrockToolSpec>\n\nconst BedrockTool = Schema.Union([BedrockToolSpec, BedrockCache.CachePointBlock])\ntype BedrockTool = Schema.Schema.Type<typeof BedrockTool>\n\nconst BedrockToolChoice = Schema.Union([\n Schema.Struct({ auto: Schema.Struct({}) }),\n Schema.Struct({ any: Schema.Struct({}) }),\n Schema.Struct({ tool: Schema.Struct({ name: Schema.String }) }),\n])\n\nconst BedrockBodyFields = {\n modelId: Schema.String,\n messages: Schema.Array(BedrockMessage),\n system: optionalArray(BedrockSystemBlock),\n inferenceConfig: Schema.optional(\n Schema.Struct({\n maxTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n }),\n ),\n toolConfig: Schema.optional(\n Schema.Struct({\n tools: Schema.Array(BedrockTool),\n toolChoice: Schema.optional(BedrockToolChoice),\n }),\n ),\n additionalModelRequestFields: Schema.optional(JsonObject),\n}\nconst BedrockConverseBody = Schema.Struct(BedrockBodyFields)\nexport type BedrockConverseBody = Schema.Schema.Type<typeof BedrockConverseBody>\n\nconst BedrockUsageSchema = Schema.Struct({\n inputTokens: Schema.optional(Schema.Number),\n outputTokens: Schema.optional(Schema.Number),\n totalTokens: Schema.optional(Schema.Number),\n cacheReadInputTokens: Schema.optional(Schema.Number),\n cacheWriteInputTokens: Schema.optional(Schema.Number),\n})\ntype BedrockUsageSchema = Schema.Schema.Type<typeof BedrockUsageSchema>\n\nconst BedrockStreamException = Schema.Struct({\n message: Schema.optional(Schema.String),\n originalMessage: Schema.optional(Schema.String),\n originalStatusCode: Schema.optional(Schema.Number),\n})\n\n// Streaming event shape — the AWS event stream wraps each JSON payload by its\n// `:event-type` header (e.g. `messageStart`, `contentBlockDelta`). We\n// reconstruct that wrapping in `decodeFrames` below so the event schema can\n// stay a plain discriminated record.\nconst BedrockEvent = Schema.Struct({\n messageStart: Schema.optional(Schema.Struct({ role: Schema.String })),\n contentBlockStart: Schema.optional(\n Schema.Struct({\n contentBlockIndex: Schema.Number,\n start: Schema.optional(\n Schema.Struct({\n toolUse: Schema.optional(Schema.Struct({ toolUseId: Schema.String, name: Schema.String })),\n }),\n ),\n }),\n ),\n contentBlockDelta: Schema.optional(\n Schema.Struct({\n contentBlockIndex: Schema.Number,\n delta: Schema.optional(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n toolUse: Schema.optional(Schema.Struct({ input: Schema.String })),\n reasoningContent: Schema.optional(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n // Blob fields in Bedrock's JSON event stream are base64 strings.\n redactedContent: Schema.optional(Schema.String),\n // Vercel's Bedrock provider exposes the same delta under\n // Anthropic's shorter `data` spelling.\n data: Schema.optional(Schema.String),\n }),\n ),\n }),\n ),\n }),\n ),\n contentBlockStop: Schema.optional(Schema.Struct({ contentBlockIndex: Schema.Number })),\n messageStop: Schema.optional(\n Schema.Struct({\n stopReason: Schema.String,\n additionalModelResponseFields: Schema.optional(Schema.Unknown),\n }),\n ),\n metadata: Schema.optional(\n Schema.Struct({\n usage: Schema.optional(BedrockUsageSchema),\n metrics: Schema.optional(Schema.Unknown),\n }),\n ),\n internalServerException: Schema.optional(BedrockStreamException),\n modelStreamErrorException: Schema.optional(BedrockStreamException),\n validationException: Schema.optional(BedrockStreamException),\n throttlingException: Schema.optional(BedrockStreamException),\n serviceUnavailableException: Schema.optional(BedrockStreamException),\n})\ntype BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerToolSpec = (tool: ToolDefinition, inputSchema: JsonSchema): BedrockToolSpec => ({\n toolSpec: {\n name: tool.name,\n description: tool.description,\n inputSchema: { json: inputSchema },\n },\n})\n\nconst lowerTools = (\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n breakpoints: BedrockCache.Breakpoints,\n tools: ReadonlyArray<ToolDefinition>,\n): BedrockTool[] => {\n const result: BedrockTool[] = []\n for (const tool of tools) {\n result.push(lowerToolSpec(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, compatibility)))\n const cachePoint = BedrockCache.block(breakpoints, tool.cache)\n if (cachePoint) result.push(cachePoint)\n }\n return result\n}\n\nconst textWithCache = (\n breakpoints: BedrockCache.Breakpoints,\n text: string,\n cache: CacheHint | undefined,\n): Array<BedrockTextBlock | BedrockCache.CachePointBlock> => {\n const cachePoint = BedrockCache.block(breakpoints, cache)\n return cachePoint ? [{ text }, cachePoint] : [{ text }]\n}\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Bedrock Converse\", toolChoice, {\n auto: () => ({ auto: {} }) as const,\n none: () => undefined,\n required: () => ({ any: {} }) as const,\n tool: (name) => ({ tool: { name } }) as const,\n })\n\nconst bedrockMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ bedrock: metadata })\n\nconst reasoningSignature = (part: ReasoningPart) => {\n const bedrock = part.providerMetadata?.bedrock\n return (\n part.encrypted ??\n (ProviderShared.isRecord(bedrock) && typeof bedrock.signature === \"string\" ? bedrock.signature : undefined)\n )\n}\n\nconst reasoningRedactedData = (part: ReasoningPart) => {\n const bedrock = part.providerMetadata?.bedrock\n return ProviderShared.isRecord(bedrock) && typeof bedrock.redactedData === \"string\" ? bedrock.redactedData : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart): BedrockToolUseBlock => ({\n toolUse: {\n toolUseId: part.id,\n name: part.name,\n input: part.input,\n },\n})\n\nconst lowerToolResultContent = Effect.fn(\"BedrockConverse.lowerToolResultContent\")(function* (part: ToolResultPart) {\n if (part.result.type === \"text\" || part.result.type === \"error\")\n return [{ text: ProviderShared.toolResultText(part) }]\n if (part.result.type === \"json\") return [{ json: part.result.value }]\n\n const content: Array<Schema.Schema.Type<typeof BedrockToolResultContentItem>> = []\n for (const item of part.result.value) {\n if (item.type === \"text\") {\n content.push({ text: item.text })\n continue\n }\n const media = yield* BedrockMedia.lower({\n type: \"media\",\n mediaType: item.mime,\n data: item.uri,\n filename: item.name,\n })\n content.push(media)\n }\n return content\n})\n\nconst lowerToolResult = Effect.fn(\"BedrockConverse.lowerToolResult\")(function* (part: ToolResultPart) {\n return {\n toolResult: {\n toolUseId: part.id,\n content: yield* lowerToolResultContent(part),\n status: part.result.type === \"error\" ? \"error\" : \"success\",\n },\n } satisfies BedrockToolResultBlock\n})\n\nconst lowerMessages = Effect.fn(\"BedrockConverse.lowerMessages\")(function* (\n request: LLMRequest,\n breakpoints: BedrockCache.Breakpoints,\n) {\n const messages: BedrockMessage[] = []\n\n for (const message of request.messages) {\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Bedrock Converse\", message)\n const content = textWithCache(breakpoints, part.text, part.cache)\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"user\") {\n const content: BedrockUserBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"user\", [\"text\", \"media\"])\n if (part.type === \"text\") {\n content.push(...textWithCache(breakpoints, part.text, part.cache))\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* BedrockMedia.lower(part))\n continue\n }\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"assistant\") {\n const content: BedrockAssistantBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"assistant\", [\n \"text\",\n \"reasoning\",\n \"tool-call\",\n ])\n if (part.type === \"text\") {\n content.push(...textWithCache(breakpoints, part.text, part.cache))\n continue\n }\n if (part.type === \"reasoning\") {\n const signature = reasoningSignature(part)\n const redactedData = reasoningRedactedData(part)\n if (signature === undefined && redactedData !== undefined) {\n content.push({ reasoningContent: { redactedContent: redactedData } })\n continue\n }\n content.push({ reasoningContent: { reasoningText: { text: part.text, signature } } })\n continue\n }\n if (part.type === \"tool-call\") {\n content.push(lowerToolCall(part))\n continue\n }\n }\n messages.push({ role: \"assistant\", content })\n continue\n }\n\n const content: BedrockUserBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"tool\", [\"tool-result\"])\n content.push(yield* lowerToolResult(part))\n const cachePoint = BedrockCache.block(breakpoints, part.cache)\n if (cachePoint) content.push(cachePoint)\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n }\n\n return messages\n})\n\n// System prompts share the cache-point convention: emit the text block, then\n// optionally a positional `cachePoint` marker.\nconst lowerSystem = (\n breakpoints: BedrockCache.Breakpoints,\n system: ReadonlyArray<LLMRequest[\"system\"][number]>,\n): BedrockSystemBlock[] => system.flatMap((part) => textWithCache(breakpoints, part.text, part.cache))\n\nconst fromRequest = Effect.fn(\"BedrockConverse.fromRequest\")(function* (request: LLMRequest) {\n const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n const generation = request.generation\n // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in\n // tools → system → messages order to favour the highest-impact prefixes.\n const breakpoints = BedrockCache.breakpoints()\n const toolConfig =\n request.tools.length > 0\n ? {\n tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools),\n // Converse has no native \"none\". Keep definitions stable for prompt\n // caching and omit only the unsupported choice.\n toolChoice,\n }\n : undefined\n const system = request.system.length === 0 ? undefined : lowerSystem(breakpoints, request.system)\n const messages = yield* lowerMessages(request, breakpoints)\n if (breakpoints.dropped > 0) {\n yield* Effect.logWarning(\n `Bedrock Converse: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${BedrockCache.BEDROCK_BREAKPOINT_CAP} per request.`,\n )\n }\n return {\n modelId: request.model.id,\n messages,\n system,\n inferenceConfig:\n generation?.maxTokens === undefined &&\n generation?.temperature === undefined &&\n generation?.topP === undefined &&\n (generation?.stop === undefined || generation.stop.length === 0)\n ? undefined\n : {\n maxTokens: generation?.maxTokens,\n temperature: generation?.temperature,\n topP: generation?.topP,\n stopSequences: generation?.stop,\n },\n toolConfig,\n // Converse's base inferenceConfig has no topK; Anthropic/Nova accept it\n // as a model-specific field, so it goes through additionalModelRequestFields.\n additionalModelRequestFields: generation?.topK === undefined ? undefined : { top_k: generation.topK },\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string): FinishReason => {\n if (reason === \"end_turn\" || reason === \"stop_sequence\") return \"stop\"\n if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n if (reason === \"tool_use\") return \"tool-calls\"\n if (reason === \"content_filtered\" || reason === \"guardrail_intervened\") return \"content-filter\"\n if (reason === \"malformed_model_output\" || reason === \"malformed_tool_use\") return \"error\"\n return \"unknown\"\n}\n\n// AWS reports inputTokens separately from cache reads and writes.\n// Bedrock does not break reasoning out of outputTokens for current models.\nconst mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {\n if (!usage) return undefined\n const inputTokens = ProviderShared.sumTokens(\n usage.inputTokens,\n usage.cacheReadInputTokens,\n usage.cacheWriteInputTokens,\n )\n return new Usage({\n inputTokens,\n outputTokens: usage.outputTokens,\n nonCachedInputTokens: usage.inputTokens,\n cacheReadInputTokens: usage.cacheReadInputTokens,\n cacheWriteInputTokens: usage.cacheWriteInputTokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),\n providerMetadata: { bedrock: usage },\n })\n}\n\ninterface ParserState {\n readonly tools: ToolStream.State<number>\n // Bedrock splits the finish into `messageStop` (carries `stopReason`) and\n // `metadata` (carries usage). Hold the terminal event in state so `onHalt`\n // can emit exactly one finish after both chunks have had a chance to arrive.\n readonly pendingFinish: { readonly reason: FinishReasonDetails; readonly usage?: Usage } | undefined\n readonly hasToolCalls: boolean\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignatures: Readonly<Record<number, string>>\n}\n\nconst step = (state: ParserState, event: BedrockEvent) =>\n Effect.gen(function* () {\n if (event.contentBlockStart?.start?.toolUse) {\n const index = event.contentBlockStart.contentBlockIndex\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n return [\n {\n ...state,\n lifecycle,\n tools: ToolStream.start(state.tools, index, {\n id: event.contentBlockStart.start.toolUse.toolUseId,\n name: event.contentBlockStart.start.toolUse.name,\n }),\n },\n [\n ...events,\n LLMEvent.toolInputStart({\n id: event.contentBlockStart.start.toolUse.toolUseId,\n name: event.contentBlockStart.start.toolUse.name,\n }),\n ],\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.text) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.textDelta(\n state.lifecycle,\n events,\n `text-${event.contentBlockDelta.contentBlockIndex}`,\n event.contentBlockDelta.delta.text,\n ),\n },\n events,\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.reasoningContent) {\n const index = event.contentBlockDelta.contentBlockIndex\n const reasoning = event.contentBlockDelta.delta.reasoningContent\n const events: LLMEvent[] = []\n const redactedData = reasoning.redactedContent ?? reasoning.data\n const providerMetadata = reasoning.signature\n ? bedrockMetadata({ signature: reasoning.signature })\n : redactedData !== undefined\n ? bedrockMetadata({ redactedData })\n : undefined\n const lifecycle =\n reasoning.text !== undefined || providerMetadata !== undefined\n ? Lifecycle.reasoningDelta(\n state.lifecycle,\n events,\n `reasoning-${index}`,\n reasoning.text ?? \"\",\n providerMetadata,\n )\n : state.lifecycle\n return [\n {\n ...state,\n lifecycle,\n reasoningSignatures: reasoning.signature\n ? { ...state.reasoningSignatures, [index]: reasoning.signature }\n : state.reasoningSignatures,\n },\n events,\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.toolUse) {\n const index = event.contentBlockDelta.contentBlockIndex\n const result = ToolStream.appendExisting(\n ADAPTER,\n state.tools,\n index,\n event.contentBlockDelta.delta.toolUse.input,\n \"Bedrock Converse tool delta is missing its tool call\",\n )\n if (ToolStream.isError(result)) return yield* result\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n return [{ ...state, lifecycle, tools: result.tools }, events] as const\n }\n\n if (event.contentBlockStop) {\n const index = event.contentBlockStop.contentBlockIndex\n const result = yield* ToolStream.finish(ADAPTER, state.tools, index)\n const events: LLMEvent[] = []\n const resultEvents = result.events ?? []\n const lifecycle = resultEvents.length\n ? Lifecycle.stepStart(state.lifecycle, events)\n : Lifecycle.reasoningEnd(\n Lifecycle.textEnd(state.lifecycle, events, `text-${index}`),\n events,\n `reasoning-${index}`,\n state.reasoningSignatures[index]\n ? bedrockMetadata({ signature: state.reasoningSignatures[index] })\n : undefined,\n )\n events.push(...resultEvents)\n return [\n {\n ...state,\n hasToolCalls:\n resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||\n state.hasToolCalls,\n lifecycle,\n tools: result.tools,\n reasoningSignatures: Object.fromEntries(\n Object.entries(state.reasoningSignatures).filter(([key]) => key !== String(index)),\n ),\n },\n events,\n ] as const\n }\n\n if (event.messageStop) {\n return [\n {\n ...state,\n pendingFinish: {\n reason: {\n normalized: mapFinishReason(event.messageStop.stopReason),\n raw: event.messageStop.stopReason,\n },\n usage: state.pendingFinish?.usage,\n },\n },\n [],\n ] as const\n }\n\n if (event.metadata) {\n const usage = mapUsage(event.metadata.usage) ?? state.pendingFinish?.usage\n return [\n {\n ...state,\n pendingFinish: {\n reason: state.pendingFinish?.reason ?? { normalized: \"stop\" },\n usage,\n },\n },\n [],\n ] as const\n }\n\n const exception = (\n [\n [\"internalServerException\", event.internalServerException],\n [\"modelStreamErrorException\", event.modelStreamErrorException],\n [\"serviceUnavailableException\", event.serviceUnavailableException],\n [\"throttlingException\", event.throttlingException],\n [\"validationException\", event.validationException],\n ] as const\n ).find((entry) => entry[1] !== undefined)\n if (exception) {\n return yield* new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({\n message: exception[1]?.message ?? exception[1]?.originalMessage ?? \"Bedrock Converse stream error\",\n code: exception[0],\n }),\n })\n }\n\n return [state, []] as const\n })\n\nconst framing = BedrockEventStream.framing(ADAPTER)\n\nconst onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>\n state.pendingFinish\n ? (() => {\n const events: LLMEvent[] = []\n Lifecycle.finish(state.lifecycle, events, {\n reason: {\n ...state.pendingFinish.reason,\n normalized:\n state.pendingFinish.reason.normalized === \"stop\" && state.hasToolCalls\n ? \"tool-calls\"\n : state.pendingFinish.reason.normalized,\n },\n usage: state.pendingFinish.usage,\n })\n return events\n })()\n : []\n\n// =============================================================================\n// Protocol And Bedrock Route\n// =============================================================================\n/**\n * The Bedrock Converse protocol — request body construction, body schema, and\n * the streaming-event state machine.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: BedrockConverseBody,\n from: fromRequest,\n },\n stream: {\n event: BedrockEvent,\n initial: () => ({\n tools: ToolStream.empty<number>(),\n pendingFinish: undefined,\n hasToolCalls: false,\n lifecycle: Lifecycle.initial(),\n reasoningSignatures: {},\n }),\n step,\n onHalt: (state) => Effect.succeed(onHalt(state)),\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"bedrock\",\n providerMetadataKey: \"bedrock\",\n protocol,\n // Bedrock's URL embeds the region in the route endpoint host and the\n // validated modelId in the path. We read the validated body so the URL\n // matches the body that gets signed.\n endpoint: Endpoint.path<BedrockConverseBody>(\n ({ body }) => `/model/${encodeURIComponent(body.modelId)}/converse-stream`,\n ),\n auth: BedrockAuth.auth,\n framing,\n})\n\nexport const sigV4Auth = BedrockAuth.sigV4\n\nexport * as BedrockConverse from \"./bedrock-converse.js\"\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse.js\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n readonly apiKey?: string\n readonly headers?: Record<string, string>\n readonly credentials?: BedrockCredentials\n /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */\n readonly region?: string\n /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */\n readonly baseURL?: string\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly auth?: \"bearer\" | \"sigv4\"\n readonly baseURL?: string\n readonly credentials?: BedrockCredentials\n readonly region?: string\n readonly topP?: number\n}\nexport const routes = [BedrockConverse.route]\n\nconst bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`\n\nconst configuredRoute = (input: Config) => {\n const { apiKey, credentials, region, baseURL, ...rest } = input\n const resolvedRegion = region ?? credentials?.region ?? \"us-east-1\"\n return BedrockConverse.route.with({\n ...rest,\n provider: id,\n endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },\n auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n throw new Error(\"Amazon Bedrock bearer auth requires apiKey\")\n if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n throw new Error(\"Amazon Bedrock SigV4 auth does not accept apiKey\")\n return configure({\n apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n baseURL: settings.baseURL,\n credentials: settings.credentials,\n generation: settings.topP === undefined ? undefined : { topP: settings.topP },\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n region: settings.region,\n }).model(modelID)\n}\n" | ||
| ], | ||
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| ||
| "debugId": "74F81B2A2312BAB764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/models.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n Commands.commands.models,\n Effect.fn(\"cli.models\")(function* (input) {\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const response = yield* Effect.promise(() => client.model.list({ location: { directory: process.cwd() } }))\n const models = response.data\n .map((model) => `${model.providerID}/${model.id}`)\n .toSorted((a, b) => a.localeCompare(b))\n if (models.length > 0) process.stdout.write(models.join(EOL) + EOL)\n }),\n)\n" | ||
| ], | ||
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| "debugId": "052366FA22E593C064756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/remove.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Config } from \"../../../config\"\nimport { resolveConfigPath } from \"../mcp/add\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.remove,\n Effect.fn(\"cli.plugin.remove\")(function* (input) {\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n const server = yield* Effect.promise(() => removePluginConfig(configPath, input.package))\n const config = yield* Config.Service\n const info = yield* config.get()\n const tui = configured(info.plugins, input.package)\n if (tui)\n yield* config.update((draft) => {\n draft.plugins = draft.plugins?.filter((entry) => !matches(entry, input.package))\n })\n\n const removed = [server ? configPath : undefined, tui ? config.path : undefined].filter(\n (file) => file !== undefined,\n )\n process.stdout.write(\n removed.length\n ? `Plugin \"${input.package}\" removed from ${removed.join(\", \")}${EOL}`\n : `Plugin \"${input.package}\" is not configured${EOL}`,\n )\n }),\n)\n\nexport async function removePluginConfig(configPath: string, spec: string) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return undefined\n throw error\n })\n if (text === undefined) return false\n const errors: ParseError[] = []\n const config: unknown = parse(text, errors, { allowTrailingComma: true })\n if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n throw new Error(`Invalid global configuration: ${configPath}`)\n const plugins = \"plugins\" in config ? config.plugins : undefined\n if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n if (!configured(plugins, spec)) return false\n\n const updated = applyEdits(\n text,\n modify(\n text,\n [\"plugins\"],\n plugins?.filter((entry) => !matches(entry, spec)),\n {\n formattingOptions: { tabSize: 2, insertSpaces: true },\n },\n ),\n )\n const temporary = configPath + \".tmp\"\n await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n await rename(temporary, configPath)\n return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n return plugins?.some((entry) => matches(entry, spec)) ?? false\n}\n\nfunction matches(entry: unknown, spec: string) {\n return entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec)\n}\n" | ||
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| "import type { AnyAuthClient } from \"google-auth-library\"\nimport { Effect, Redacted } from \"effect\"\nimport { Auth, MissingCredentialError } from \"../route/auth.js\"\n\nconst SCOPE = \"https://www.googleapis.com/auth/cloud-platform\"\n\nexport type OAuthOptions =\n | { readonly accessToken?: string; readonly auth?: never }\n | { readonly accessToken?: never; readonly auth?: Auth.Definition }\n\nexport type ApiKeyOptions =\n | (OAuthOptions & { readonly apiKey?: never })\n | { readonly accessToken?: never; readonly apiKey?: string; readonly auth?: never }\n\nexport const project = (value?: string) =>\n value ??\n process.env.GOOGLE_VERTEX_PROJECT ??\n process.env.GOOGLE_CLOUD_PROJECT ??\n process.env.GCP_PROJECT ??\n process.env.GCLOUD_PROJECT\n\nexport const location = (value: string | undefined, fallback: string) =>\n value ??\n process.env.GOOGLE_VERTEX_LOCATION ??\n process.env.GOOGLE_CLOUD_LOCATION ??\n process.env.VERTEX_LOCATION ??\n fallback\n\nexport const host = (location: string) => {\n if (location === \"global\") return \"aiplatform.googleapis.com\"\n // Jurisdictional multi-regions use Regional Endpoint Platform domains.\n if (location === \"eu\" || location === \"us\") return `aiplatform.${location}.rep.googleapis.com`\n return `${location}-aiplatform.googleapis.com`\n}\n\nexport const requireProject = (value: string | undefined) => {\n if (value) return value\n throw new Error(\"Google Vertex requires a project when baseURL is not configured\")\n}\n\nexport const apiKey = (input: ApiKeyOptions) => {\n if (input.apiKey !== undefined && (input.accessToken !== undefined || input.auth !== undefined))\n throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n if (input.accessToken !== undefined || input.auth !== undefined) return undefined\n return input.apiKey ?? process.env.GOOGLE_VERTEX_API_KEY\n}\n\nconst adc = (project?: string) => {\n let client: Promise<AnyAuthClient> | undefined\n const loadClient = () => {\n if (client) return client\n client = import(\"google-auth-library\").then(({ GoogleAuth }) =>\n new GoogleAuth({ projectId: project, scopes: [SCOPE] }).getClient(),\n )\n return client\n }\n return Auth.effect(\n Effect.tryPromise({\n try: async () => {\n const token = await (await loadClient()).getAccessToken()\n if (!token.token) throw new Error(\"Google ADC returned an empty access token\")\n return Redacted.make(token.token)\n },\n catch: () => new MissingCredentialError(\"Google Application Default Credentials\"),\n }),\n ).bearer()\n}\n\nexport const oauth = (input: OAuthOptions, project?: string) => {\n if (input.accessToken !== undefined && input.auth !== undefined)\n throw new Error(\"Google Vertex accessToken cannot be combined with auth\")\n if (input.auth) return input.auth\n if (input.accessToken !== undefined) return Auth.bearer(input.accessToken)\n return adc(project)\n}\n\nexport * as GoogleVertexShared from \"./google-vertex-shared.js\"\n" | ||
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| { | ||
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| "sources": ["../ai/src/protocols/xai-responses.ts", "../ai/src/protocols/xai-images.ts", "../ai/src/providers/xai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Protocol } from \"../route/protocol.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { ResponsesHostedTools } from \"./utils/responses-hosted-tools.js\"\n\nconst ADAPTER = \"xai-responses\"\nconst NAME = \"xAI Responses\"\n\nconst extension = {\n id: ADAPTER,\n name: NAME,\n} satisfies OpenResponses.Extension\n\nconst HOSTED_TOOLS = {\n web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n x_search_call: { name: \"x_search\", input: (item) => item.action ?? {} },\n file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n code_interpreter_call: {\n name: \"code_interpreter\",\n input: (item) => ({ code: item.code, container_id: item.container_id }),\n },\n image_generation_call: { name: \"image_generation\", input: () => ({}) },\n mcp_call: {\n name: \"mcp\",\n input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n },\n} as const satisfies ResponsesHostedTools.Definitions\n\n// Grok speaks the standard Responses reasoning dialect (`reasoning_summary_text.*`,\n// handled by the baseline); only its hosted tool vocabulary differs.\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n if (event.type === \"response.output_item.done\" && event.item && ResponsesHostedTools.isItem(event.item, HOSTED_TOOLS))\n return ResponsesHostedTools.onDone(state, event.item, HOSTED_TOOLS)\n return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: OpenResponses.protocol.body,\n stream: {\n event: OpenResponses.protocol.stream.event,\n initial: (request) => OpenResponses.initial(request, extension),\n step,\n terminal: OpenResponses.terminal,\n },\n})\n\nexport * as XAIResponses from \"./xai-responses.js\"\n", | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared, optionalNull } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\n\nconst ADAPTER = \"xai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.x.ai/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type XAIImageString<Known extends string> = Known | (string & {})\n\nexport type XAIImageOptions = {\n readonly n?: number\n readonly aspectRatio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly aspect_ratio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly resolution?: XAIImageString<\"1k\" | \"2k\">\n readonly responseFormat?: XAIImageString<\"url\" | \"b64_json\">\n readonly response_format?: XAIImageString<\"url\" | \"b64_json\">\n} & Record<string, unknown>\n\ntype XAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst XAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: optionalNull(Schema.String),\n url: optionalNull(Schema.String),\n revised_prompt: optionalNull(Schema.String),\n mime_type: optionalNull(Schema.String),\n }),\n ),\n usage: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: XAIImageOptions | undefined) => {\n if (!options) return undefined\n const { aspectRatio, responseFormat, ...native } = options\n return {\n aspect_ratio: aspectRatio,\n response_format: responseFormat,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<XAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"XAIImages.generate\")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {\n const http = mergeHttpOptions(request.model.http, request.http)\n const imageReferences = (request.images ?? []).map((image) => {\n if (image.type === \"bytes\") return { url: ImageInputs.dataUrl(image), type: \"image_url\" as const }\n if (image.type === \"url\") return { url: image.url, type: \"image_url\" as const }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (imageReferences.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"xAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n image: imageReferences.length === 1 ? imageReferences[0] : undefined,\n images: imageReferences.length > 1 ? imageReferences : undefined,\n },\n nativeOptions(request.options),\n http?.body,\n ) as XAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const url = applyQuery(\n `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${imageReferences.length === 0 ? PATH : EDIT_PATH}`,\n http?.query,\n )\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the xAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"xAI Images returned an invalid response\")),\n )\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n const mediaType = item.mime_type ?? \"application/octet-stream\"\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType,\n data,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"xAI Images returned no images\")\n const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined\n return new ImageResponse({\n images,\n usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),\n providerMetadata: usage === undefined ? undefined : { xai: { usage } },\n })\n }),\n }\n return ImageModel.make<XAIImageOptions>({ id: input.id, provider: \"xai\", route, http: input.http })\n}\n\nexport const XAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpOptions, ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { OpenResponsesChannel } from \"../protocols/open-responses-channel.js\"\nimport { XAIResponses } from \"../protocols/xai-responses.js\"\nimport { XAIImages } from \"../protocols/xai-images.js\"\nimport type { OpenAIOptionsInput } from \"./openai-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = OpenAIOptionsInput\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n}\n\nexport type { XAIImageOptions } from \"../protocols/xai-images.js\"\n\nconst RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 24 * 60 * 1000\n\nconst responsesRoute = Route.make({\n id: \"openai-responses\",\n provider: id,\n providerMetadataKey: \"xai\",\n protocol: XAIResponses.protocol,\n endpoint: Endpoint.path(\"/responses\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenResponsesChannel.transport({\n id: \"openai-responses\",\n name: \"xAI Responses\",\n rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,\n }),\n defaults: { providerOptions: { store: false, include: [\"reasoning.encrypted_content\"] } },\n})\n\nconst chatRoute = Route.make({\n id: \"openai-compatible-chat\",\n provider: id,\n providerMetadataKey: \"xai\",\n protocol: OpenAIChat.protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenAICompatibleChat.route.transport,\n headers: ({ request }): Record<string, string> =>\n request.promptCacheKey ? { \"x-grok-conv-id\": request.promptCacheKey } : {},\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return responsesRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nconst configuredChatRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return chatRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const responsesRoute = configuredResponsesRoute(input)\n const chatRoute = configuredChatRoute(input)\n const responses = (modelID: string | ModelID) => responsesRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const chat = (modelID: string | ModelID) => chatRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const image = (modelID: string | ModelID) =>\n XAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,\n headers: input.headers,\n http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n })\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
| ], | ||
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| ||
| "debugId": "4E1DA2370ECC66CA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n if (servers.length === 0) {\n process.stdout.write(\"No MCP servers configured\" + EOL)\n return\n }\n const width = Math.max(...servers.map((server) => server.name.length))\n const lines = servers.map(\n (server) => `${icon(server.status)} ${server.name.padEnd(width)} ${describe(server.status)}`,\n )\n process.stdout.write(lines.join(EOL) + EOL)\n }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n switch (status.status) {\n case \"connected\":\n return \"✓\"\n case \"needs_auth\":\n return \"⚠\"\n case \"failed\":\n return \"✗\"\n default:\n return \"○\"\n }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n switch (status.status) {\n case \"needs_auth\":\n return \"needs authentication\"\n case \"failed\":\n return `failed: ${status.error}`\n default:\n return status.status\n }\n}\n" | ||
| ], | ||
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| "debugId": "A0A02FB96F03BE4C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/pair.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode } from \"@opencode-ai/client/promise\"\nimport { renderUnicodeCompact } from \"uqr\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServiceConfig } from \"../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.pair,\n Effect.fn(\"cli.pair\")(function* () {\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const password = yield* ServiceConfig.password()\n const server = yield* Effect.tryPromise(() =>\n OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) }).server.get(),\n )\n const info = { urls: server.urls, username: \"opencode\", password }\n process.stdout.write(\n [\n \"\",\n ` URLs ${info.urls[0] ?? \"(none)\"}`,\n ...info.urls.slice(1).map((url) => ` ${url}`),\n ` Username ${info.username}`,\n ` Password ${info.password}`,\n \"\",\n \" Scan to pair\",\n \"\",\n renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n .split(EOL)\n .map((line) => \" \" + line)\n .join(EOL),\n \"\",\n ].join(EOL) + EOL,\n )\n\n const hostname = new URL(endpoint.url).hostname\n if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n process.stderr.write(` Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`)\n }),\n)\n" | ||
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| "debugId": "2821456EB57DF70964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openrouter.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { ProviderID, type CacheHint, type ModelID } from \"../schema/index.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache.js\"\nimport { isRecord } from \"../protocols/shared.js\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\ntype OpenRouterString<Known extends string> = Known | (string & {})\n\nexport interface OpenRouterProviderRouting {\n readonly [key: string]: unknown\n readonly order?: ReadonlyArray<string>\n readonly allow_fallbacks?: boolean\n readonly require_parameters?: boolean\n readonly data_collection?: OpenRouterString<\"allow\" | \"deny\">\n readonly only?: ReadonlyArray<string>\n readonly ignore?: ReadonlyArray<string>\n readonly quantizations?: ReadonlyArray<string>\n readonly sort?: OpenRouterString<\"price\" | \"throughput\" | \"latency\">\n readonly max_price?: Readonly<{\n prompt?: number | string\n completion?: number | string\n image?: number | string\n audio?: number | string\n request?: number | string\n }>\n readonly zdr?: boolean\n}\n\nexport type OpenRouterPlugin =\n | Readonly<{\n id: \"web\"\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n | Readonly<{ id: \"file-parser\"; max_files?: number; pdf?: { engine?: string } }>\n | Readonly<{ id: \"moderation\" }>\n | Readonly<{ id: \"response-healing\" }>\n | Readonly<{ id: \"auto-router\"; allowed_models?: ReadonlyArray<string> }>\n | Readonly<{ id: string & {}; [key: string]: unknown }>\n\nexport interface OpenRouterOptions {\n readonly [key: string]: unknown\n readonly debug?: Readonly<{ echo_upstream_body?: boolean }>\n readonly models?: ReadonlyArray<string>\n readonly plugins?: ReadonlyArray<OpenRouterPlugin>\n readonly provider?: OpenRouterProviderRouting\n readonly reasoning?: Readonly<{\n enabled?: boolean\n exclude?: boolean\n effort?: OpenRouterString<\"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\">\n max_tokens?: number\n }>\n readonly usage?: boolean | Readonly<{ include: boolean }>\n readonly user?: string\n readonly web_search_options?: Readonly<{\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n}\n\nexport type OpenRouterProviderOptionsInput = OpenRouterOptions\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n}\n\nconst OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [\n Schema.Record(Schema.String, Schema.Any),\n])\nexport type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>\n\nexport const protocol = Protocol.make({\n id: \"openrouter-chat\",\n body: {\n schema: OpenRouterBody,\n from: (request) =>\n OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(\n Effect.map((body) => {\n const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n let assistantIndex = 0\n const messages = body.messages.map((message) => {\n if (message.role !== \"assistant\") return message\n const source = sourceAssistants[assistantIndex++]\n const reasoning = source?.content\n .filter((part) => part.type === \"reasoning\")\n .map((part) => part.text)\n .join(\"\")\n const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n return {\n ...message,\n reasoning_content: undefined,\n reasoning_text: undefined,\n reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n reasoning_details: reasoningDetails,\n }\n })\n return {\n ...body,\n messages,\n ...bodyOptions(request.providerOptions),\n } as OpenRouterBody\n }),\n ),\n },\n stream: OpenAIChat.protocol.stream,\n})\n\nconst cacheControl = () => {\n const breakpoints = newBreakpoints(4)\n return (cache: CacheHint | undefined) => {\n if (cache === undefined || breakpoints.remaining === 0) return undefined\n breakpoints.remaining -= 1\n return {\n type: \"ephemeral\" as const,\n ...(ttlBucket(cache.ttlSeconds) === \"1h\" ? { ttl: \"1h\" } : {}),\n }\n }\n}\n\nconst bodyOptions = (input: unknown) => {\n const openrouter = isRecord(input) ? input : {}\n const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =\n openrouter\n return {\n ...options,\n ...(usage === undefined || usage === true\n ? { usage: { include: true } }\n : usage === false\n ? { usage: { include: false } }\n : isRecord(usage)\n ? { usage }\n : {}),\n ...(Array.isArray(models) ? { models } : {}),\n ...(isRecord(provider) ? { provider } : {}),\n ...(Array.isArray(plugins) ? { plugins } : {}),\n ...(isRecord(web_search_options) ? { web_search_options } : {}),\n ...(isRecord(debug) ? { debug } : {}),\n ...(typeof user === \"string\" ? { user } : {}),\n ...(isRecord(reasoning) ? { reasoning } : {}),\n }\n}\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: profile.provider,\n protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return route.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? profile.baseURL },\n auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n" | ||
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| "debugId": "8B066EF581D3132164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/route/auth-options.ts"], | ||
| "sourcesContent": [ | ||
| "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth.js\"\n\nexport type ApiKeyMode = \"optional\" | \"required\"\n\nexport type AuthOverride = {\n readonly auth: Auth.Definition\n readonly apiKey?: never\n}\n\nexport type OptionalApiKeyAuth = {\n readonly apiKey?: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n readonly auth?: never\n}\n\nexport type RequiredApiKeyAuth = {\n readonly apiKey: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n readonly auth?: never\n}\n\nexport type ProviderAuthOption<Mode extends ApiKeyMode> =\n | AuthOverride\n | (Mode extends \"optional\" ? OptionalApiKeyAuth : RequiredApiKeyAuth)\n\nexport type LanguageModelOptions<Base, Mode extends ApiKeyMode> = Omit<Base, \"apiKey\" | \"auth\"> &\n ProviderAuthOption<Mode>\n\nexport type LanguageModelArgs<Base, Mode extends ApiKeyMode> = Mode extends \"optional\"\n ? readonly [options?: LanguageModelOptions<Base, Mode>]\n : readonly [options: LanguageModelOptions<Base, Mode>]\n\nexport type LanguageModelFactory<Base, Mode extends ApiKeyMode, LanguageModel> = (\n id: string,\n ...args: LanguageModelArgs<Base, Mode>\n) => LanguageModel\n\n/**\n * Require at least one of the keys in `T`. Use for option shapes where any\n * subset of fields is acceptable but at least one must be present (e.g. Azure\n * accepts `resourceName` or `baseURL`).\n */\nexport type AtLeastOne<T> = {\n [K in keyof T]: Required<Pick<T, K>> & Partial<Omit<T, K>>\n}[keyof T]\n\n/**\n * Standard bearer-auth resolution for providers: honor an explicit `auth`\n * override, otherwise resolve `apiKey` (option > config var) and apply it as\n * a bearer token.\n */\nexport const bearer = (\n options: ProviderAuthOption<\"optional\">,\n envVar: string | ReadonlyArray<string>,\n): Auth.Definition => {\n if (\"auth\" in options && options.auth) return options.auth\n return (Array.isArray(envVar) ? envVar : [envVar])\n .reduce(\n (auth, name) => auth.orElse(Auth.config(name)),\n Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\"),\n )\n .bearer()\n}\n\nexport * as AuthOptions from \"./auth-options.js\"\n" | ||
| ], | ||
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| "debugId": "118A6DD0D5A9A40464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/get.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.get,\n Effect.fn(\"cli.service.get\")(function* (input) {\n process.stdout.write(\n (yield* ServiceConfig.get(Option.getOrUndefined(input.key), Option.getOrUndefined(input.name))) + EOL,\n )\n }),\n)\n" | ||
| ], | ||
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| "debugId": "6A9FEDE9F3B2CA5764756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mini.ts"], | ||
| "sourcesContent": [ | ||
| "import { Context, Effect, FileSystem, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { Config } from \"../../config\"\nimport { resolve } from \"@opencode-ai/tui/config\"\nimport { Global } from \"@opencode-ai/util/global\"\n\nexport default Runtime.handler(Commands.commands.mini, (input) =>\n Effect.gen(function* () {\n const { runMini, validateMiniTerminal } = yield* Effect.promise(() => import(\"../../mini\"))\n yield* Effect.promise(async () => validateMiniTerminal())\n const serverURL = Option.getOrUndefined(input.server)\n const server = yield* ServerConnection.resolve({\n server: serverURL,\n standalone: input.standalone,\n mismatch: \"replace\",\n })\n const config = yield* Config.Service\n const global = yield* Global.Service\n const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== \"win32\" })\n const fileSystem = yield* FileSystem.FileSystem\n const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))\n const service = server.service\n yield* Effect.promise(() =>\n runMini({\n server: {\n endpoint: server.endpoint,\n reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,\n },\n continue: input.continue,\n session: Option.getOrUndefined(input.session),\n fork: input.fork,\n model: Option.getOrUndefined(input.model),\n agent: Option.getOrUndefined(input.agent),\n prompt: Option.getOrUndefined(input.prompt),\n replay: Option.getOrUndefined(input.replay) ?? resolved.mini?.replay ?? true,\n replayLimit: Option.getOrUndefined(input.replayLimit) ?? resolved.mini?.replay_limit,\n demo: input.demo,\n tuiConfig: resolved,\n config: {\n update: (update) => runServicePromise(config.update(update)),\n },\n paths: { home: global.home, state: global.state, log: global.log },\n }),\n )\n }),\n)\n" | ||
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| "debugId": "4D65467261C0CEA164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-compatible-chat.ts"], | ||
| "sourcesContent": [ | ||
| "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport * as OpenAIChat from \"./openai-chat.js\"\n\nconst ADAPTER = \"openai-compatible-chat\"\n\nexport type OpenAICompatibleChatLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Route for non-OpenAI providers that expose an OpenAI Chat-compatible\n * `/chat/completions` endpoint. Reuses `OpenAIChat.protocol` end-to-end and\n * overrides only the route id so providers can be resolved per-family without\n * colliding with native OpenAI. Provider helpers configure the route endpoint\n * before model selection.\n */\nexport const route = Route.make({\n id: ADAPTER,\n providerMetadataKey: \"openai\",\n protocol: OpenAIChat.protocol,\n endpoint: Endpoint.path(\"/chat/completions\"),\n framing: Framing.sse,\n})\n\nexport * as OpenAICompatibleChat from \"./openai-compatible-chat.js\"\n" | ||
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| "debugId": "5213A5389A10282864756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mcp/logout.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n Commands.commands.mcp.commands.logout,\n Effect.fn(\"cli.mcp.logout\")(function* (input) {\n const endpoint = yield* Service.ensure(yield* ServiceConfig.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": "D97593A08179B45864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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}?${query}` : pathname\n}\n" | ||
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| "debugId": "DC98880B634B0D9964756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/form.ts", "src/commands/handlers/auth/login.ts"], | ||
| "sourcesContent": [ | ||
| "import { confirm, log, multiselect, password, select, text, type Option } from \"@clack/prompts\"\nimport { Effect } from \"effect\"\nimport type { FormAnswer, FormField, FormFields } from \"@opencode-ai/client\"\nimport { openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\n\nconst skip = Symbol(\"skip\")\nconst custom = Symbol(\"custom\")\n\nexport const answerForm = Effect.fn(\"cli.auth.form\")(function* (fields: FormFields | undefined) {\n if (!fields) return undefined\n yield* requireInteractive(\"Authentication form input requires an interactive terminal\")\n const answer: FormAnswer = {}\n for (const field of fields) {\n if (!active(field, answer)) continue\n const value = yield* answerField(field)\n if (value !== undefined) answer[field.key] = value\n }\n return answer\n})\n\nexport const secret = Effect.fn(\"cli.auth.secret\")(function* (message: string) {\n yield* requireInteractive(\"API key input requires an interactive terminal\")\n return yield* prompt<string>(() => password({ message, validate: (value) => (!value ? \"Required\" : undefined) }))\n})\n\nconst answerField = Effect.fn(\"cli.auth.form.field\")(function* (field: FormField) {\n const message = field.title ?? field.key\n if (field.description) log.info(field.description)\n if (field.type === \"external\") {\n log.info(field.url)\n yield* openUrl(field.url)\n const acknowledged = yield* prompt<boolean>(() =>\n confirm({ message: message || \"Continue after completing this step?\", initialValue: true }),\n )\n if (!acknowledged) return yield* Effect.fail(new Error(`${message || \"External step\"} is required`))\n return true\n }\n if (field.type === \"boolean\") {\n if (field.required) return yield* prompt<boolean>(() => confirm({ message, initialValue: field.default ?? true }))\n const options: Array<Option<boolean | typeof skip>> = [\n { value: true, label: \"Yes\" },\n { value: false, label: \"No\" },\n { value: skip, label: \"Skip\" },\n ]\n const value = yield* prompt<boolean | typeof skip>(() =>\n select<boolean | typeof skip>({\n message,\n options,\n initialValue: field.default ?? skip,\n }),\n )\n if (value === skip) return undefined\n return value\n }\n if (field.type === \"multiselect\") {\n const options: Array<Option<string | typeof custom>> = field.options.map((option) => ({\n value: option.value,\n label: option.label,\n hint: option.description,\n }))\n if (field.custom) options.push({ value: custom, label: \"Type another value\" })\n const values = yield* prompt<Array<string | typeof custom>>(() =>\n multiselect<string | typeof custom>({\n message,\n options,\n initialValues: field.default,\n required: field.required || (field.minItems ?? 0) > 0,\n }),\n )\n const selected = values.filter((value): value is string => value !== custom)\n if (values.includes(custom)) {\n selected.push(yield* prompt<string>(() => text({ message: \"Enter value\", validate: required })))\n }\n if (field.minItems !== undefined && selected.length < field.minItems) {\n return yield* Effect.fail(new Error(`Select at least ${field.minItems}`))\n }\n if (field.maxItems !== undefined && selected.length > field.maxItems) {\n return yield* Effect.fail(new Error(`Select at most ${field.maxItems}`))\n }\n return selected\n }\n if (field.type === \"string\" && field.options) {\n const options: Array<Option<string | typeof custom | typeof skip>> = field.options.map((option) => ({\n value: option.value,\n label: option.label,\n hint: option.description,\n }))\n if (field.custom) options.push({ value: custom, label: \"Type your own answer\" })\n if (!field.required) options.push({ value: skip, label: \"Skip\" })\n const value = yield* prompt<string | typeof custom | typeof skip>(() =>\n select<string | typeof custom | typeof skip>({ message, options, initialValue: field.default }),\n )\n if (value === skip) return undefined\n if (value !== custom) return value\n }\n const value = yield* prompt<string>(() =>\n text({\n message,\n placeholder: field.type === \"string\" ? field.placeholder : undefined,\n initialValue: field.default === undefined ? undefined : String(field.default),\n validate: (input) => validateText(field, input),\n }),\n )\n if (!value && !field.required) return undefined\n if (field.type === \"string\") return value\n return Number(value)\n})\n\nfunction active(field: FormField, answer: FormAnswer) {\n if (field.type === \"external\" || !field.when) return true\n return field.when.every((condition) => {\n const value = answer[condition.key]\n if (value === undefined) return false\n const matches = Array.isArray(value) ? value.includes(String(condition.value)) : value === condition.value\n return condition.op === \"eq\" ? matches : !matches\n })\n}\n\nfunction required(value: string | undefined) {\n return value ? undefined : \"Required\"\n}\n\nfunction validateText(field: Exclude<FormField, { type: \"boolean\" | \"external\" | \"multiselect\" }>, value?: string) {\n if (!value) return field.required ? \"Required\" : undefined\n if (field.type === \"number\" || field.type === \"integer\") {\n const number = Number(value)\n if (!Number.isFinite(number)) return \"Expected a number\"\n if (field.type === \"integer\" && !Number.isInteger(number)) return \"Expected an integer\"\n if (typeof field.minimum === \"number\" && number < field.minimum) return `Must be at least ${field.minimum}`\n if (typeof field.maximum === \"number\" && number > field.maximum) return `Must be at most ${field.maximum}`\n return undefined\n }\n if (field.minLength !== undefined && value.length < field.minLength)\n return `Must be at least ${field.minLength} characters`\n if (field.maxLength !== undefined && value.length > field.maxLength)\n return `Must be at most ${field.maxLength} characters`\n if (field.pattern) {\n try {\n if (!new RegExp(field.pattern).test(value)) return \"Invalid format\"\n } catch {\n return \"Invalid format\"\n }\n }\n if (field.format === \"uri\" && !URL.canParse(value)) return \"Expected a URL\"\n if (field.format === \"email\" && !/^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(value)) return \"Expected an email address\"\n if (field.format === \"date\") {\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(value)) return \"Expected a date\"\n const date = new Date(`${value}T00:00:00.000Z`)\n if (Number.isNaN(date.getTime()) || date.toISOString().slice(0, 10) !== value) return \"Expected a date\"\n }\n if (field.format === \"date-time\" && Number.isNaN(Date.parse(value))) return \"Expected a date and time\"\n return undefined\n}\n", | ||
| "import { autocomplete, intro, log, outro, select, spinner, text } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { FormAnswer, IntegrationInfo, OpenCodeClient } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { answerForm, secret } from \"./form\"\nimport {\n createClient,\n connectMethods,\n loadIntegrations,\n location,\n request,\n resolveIntegration,\n resolveMethod,\n type ConnectMethod,\n} from \"./shared\"\n\nconst integrationPriority = new Map([\n [\"opencode\", 0],\n [\"opencode-go\", 1],\n [\"openai\", 2],\n [\"github-copilot\", 3],\n [\"google\", 4],\n [\"anthropic\", 5],\n [\"openrouter\", 6],\n [\"vercel\", 7],\n])\n\nexport default Runtime.handler(\n Commands.commands.auth.commands.login,\n Effect.fn(\"cli.auth.login\")((input) =>\n login({\n target: Option.getOrUndefined(input.target),\n method: Option.getOrUndefined(input.method),\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n }).pipe(handlePromptErrors),\n ),\n)\n\nconst login = Effect.fn(\"cli.auth.login.run\")(function* (input: {\n target?: string\n method?: string\n server?: string\n standalone: boolean\n}) {\n if (!input.target)\n yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n intro(\"Connect an integration\")\n const client = yield* createClient({ server: input.server, standalone: input.standalone })\n const integration = yield* findIntegration(client, input.target)\n const methods = connectMethods(integration)\n if (methods.length === 0) yield* Effect.fail(new Error(`${integration.name} has no interactive login methods`))\n const method = yield* chooseMethod(methods, input.method)\n const answer = method.type === \"command\" ? undefined : yield* answerForm(method.form)\n yield* authenticate(client, integration, method, answer)\n outro(\"Done\")\n})\n\nconst findIntegration = Effect.fn(\"cli.auth.login.integration\")(function* (client: OpenCodeClient, target?: string) {\n if (target && URL.canParse(target)) {\n const protocol = new URL(target).protocol\n if (protocol === \"http:\" || protocol === \"https:\") {\n const progress = spinner()\n progress.start(\"Discovering authentication provider...\")\n yield* request((signal) => client.integration.wellknown.add({ url: target, location }, { signal })).pipe(\n Effect.tap(() => Effect.sync(() => progress.stop(\"Authentication provider discovered\"))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Discovery failed\", 1))),\n )\n }\n }\n const integrations = yield* loadIntegrations(client)\n if (target) return yield* resolveIntegration(integrations, target)\n const available = integrations\n .filter((integration) => connectMethods(integration).length > 0)\n .toSorted(\n (a, b) =>\n (integrationPriority.get(a.id) ?? integrationPriority.size) -\n (integrationPriority.get(b.id) ?? integrationPriority.size) ||\n a.name.localeCompare(b.name) ||\n a.id.localeCompare(b.id),\n )\n if (available.length === 0) return yield* Effect.fail(new Error(\"No authentication integrations are available\"))\n const id = yield* prompt<string>(() =>\n autocomplete({\n message: \"Select integration\",\n maxItems: 8,\n options: available.map((integration) => {\n const option = { value: integration.id, label: integration.name, hint: integration.id }\n if (integration.connections.length > 0) return { ...option, hint: \"connected\" }\n if (integration.id === \"opencode\") return { ...option, hint: \"recommended\" }\n return option\n }),\n }),\n )\n return yield* resolveIntegration(available, id)\n})\n\nconst chooseMethod = Effect.fn(\"cli.auth.login.method\")(function* (methods: ConnectMethod[], target?: string) {\n if (target) return yield* resolveMethod(methods, target)\n if (methods.length === 1) return methods[0]\n yield* requireInteractive(\"Pass --method when running without an interactive terminal\")\n const id = yield* prompt<string>(() =>\n select({\n message: \"Select login method\",\n options: methods.map((method) => {\n if (method.type === \"key\") return { value: \"key\", label: method.label ?? \"API key\" }\n return { value: method.id, label: method.label }\n }),\n }),\n )\n return yield* resolveMethod(methods, id)\n})\n\nconst authenticate = Effect.fn(\"cli.auth.login.authenticate\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: ConnectMethod,\n answer?: FormAnswer,\n) {\n if (method.type === \"key\") return yield* keyLogin(client, integration, method, answer)\n if (method.type === \"command\") return yield* commandLogin(client, integration, method)\n return yield* oauthLogin(client, integration, method, answer)\n})\n\nconst keyLogin = Effect.fn(\"cli.auth.login.key\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: Extract<ConnectMethod, { type: \"key\" }>,\n answer?: FormAnswer,\n) {\n const key = yield* secret(method.label ?? `Enter your ${integration.name} API key`)\n const progress = spinner()\n progress.start(\"Saving credential...\")\n yield* request((signal) =>\n client.integration.connect.key({ integrationID: integration.id, key, answer, location }, { signal }),\n ).pipe(\n Effect.tap(() => Effect.sync(() => progress.stop(`Connected to ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))),\n )\n})\n\nconst oauthLogin = Effect.fn(\"cli.auth.login.oauth\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: Extract<ConnectMethod, { type: \"oauth\" }>,\n answer?: FormAnswer,\n) {\n const progress = spinner()\n progress.start(\"Starting authorization...\")\n const started = yield* request((signal) =>\n client.integration.oauth.connect(\n { integrationID: integration.id, methodID: method.id, answer, location },\n { signal },\n ),\n ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n const attempt = started.data\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.oauth.cancel(\n { integrationID: integration.id, attemptID: attempt.attemptID, location },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n progress.stop(\"Authorization started\")\n log.info(attempt.instructions)\n log.info(attempt.url)\n if (process.stdin.isTTY && process.stdout.isTTY) yield* openUrl(attempt.url)\n\n if (attempt.mode === \"code\") {\n yield* requireInteractive(\"This login requires an interactive terminal to enter the authorization code\")\n const code = yield* prompt<string>(() =>\n text({ message: \"Paste the authorization code\", validate: (value) => (!value ? \"Required\" : undefined) }),\n )\n const completing = spinner()\n completing.start(\"Completing authorization...\")\n yield* request((signal) =>\n client.integration.oauth.complete(\n { integrationID: integration.id, attemptID: attempt.attemptID, code, location },\n { signal },\n ),\n ).pipe(\n Effect.tap(() => Effect.sync(() => completing.stop(`Connected to ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => completing.stop(\"Authentication failed\", 1))),\n )\n return\n }\n\n const waiting = spinner()\n waiting.start(\"Waiting for authorization...\")\n const status = yield* waitForOAuth(client, integration.id, attempt.attemptID).pipe(\n Effect.tapCause(() => Effect.sync(() => waiting.stop(\"Authentication failed\", 1))),\n )\n if (status.status === \"complete\") {\n waiting.stop(`Connected to ${integration.name}`)\n return\n }\n waiting.stop(\"Authentication failed\", 1)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n yield* Effect.fail(new Error(\"Authorization expired\"))\n})\n\nconst commandLogin = Effect.fn(\"cli.auth.login.command\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: Extract<ConnectMethod, { type: \"command\" }>,\n) {\n const progress = spinner()\n progress.start(\"Starting authentication command...\")\n const started = yield* request((signal) =>\n client.integration.command.connect({ integrationID: integration.id, methodID: method.id, location }, { signal }),\n ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.command.cancel(\n {\n integrationID: integration.id,\n attemptID: started.data.attemptID,\n location,\n },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n const status = yield* waitForCommand(client, integration.id, started.data.attemptID, (message) =>\n progress.message(message.trim() || \"Waiting for authentication command...\"),\n ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n if (status.status === \"complete\") {\n progress.stop(`Connected to ${integration.name}`)\n return\n }\n progress.stop(\"Authentication failed\", 1)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n yield* Effect.fail(new Error(\"Authentication expired\"))\n})\n\nconst waitForOAuth = Effect.fn(\"cli.auth.login.oauth.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n yield* Effect.sleep(500)\n }\n})\n\nconst waitForCommand = Effect.fn(\"cli.auth.login.command.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n update: (message: string) => void,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.command.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n if (response.data.message) update(response.data.message)\n yield* Effect.sleep(500)\n }\n})\n" | ||
| ], | ||
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| ||
| "debugId": "A7A6FCDA5A05252764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/status.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.status,\n Effect.fn(\"cli.service.status\")(function* () {\n const options = yield* ServiceConfig.options()\n const found = yield* Service.discover({ ...options, version: undefined })\n process.stdout.write((found?.url ?? \"stopped\") + EOL)\n }),\n)\n" | ||
| ], | ||
| "mappings": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,OACnC,EAAO,GAAG,oBAAoB,EAAE,SAAU,EAAG,CAC3C,IAAM,EAAU,MAAO,EAAc,QAAQ,EACvC,EAAQ,MAAO,EAAQ,SAAS,IAAK,EAAS,QAAS,MAAU,CAAC,EACxE,QAAQ,OAAO,OAAO,GAAO,KAAO,WAAa,CAAG,EACrD,CACH", | ||
| "debugId": "A4D962A6BE9CB17264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n const integration = yield* resolveIntegration(client, input.name, location)\n if (!integration)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n const method = integration.methods.find(\n (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n )\n if (!method)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n const started = yield* Effect.promise(() =>\n client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, location }),\n )\n const attempt = started.data\n if (attempt.mode === \"code\")\n return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n const result = yield* poll(client, integration.id, attempt.attemptID)\n if (result.status === \"complete\") {\n process.stdout.write(`Authenticated with ${input.name}` + EOL)\n return\n }\n const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n }),\n)\n\nconst poll = (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n Effect.gen(function* () {\n const status = yield* Effect.promise(() =>\n client.integration.oauth.status({ integrationID, attemptID, location }),\n ).pipe(Effect.map((result) => result.data))\n if (status.status === \"pending\") {\n yield* Effect.sleep(\"1 second\")\n return yield* poll(client, integrationID, attemptID)\n }\n return status\n })\n" | ||
| ], | ||
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| "debugId": "AD339DDBA3A024CC64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.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": "36711CBEA240C51264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/logout.ts"], | ||
| "sourcesContent": [ | ||
| "import { autocomplete, intro, outro, spinner } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { IntegrationInfo } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { createClient, loadIntegrations, location, request, resolveIntegration } from \"./shared\"\n\nexport default Runtime.handler(\n Commands.commands.auth.commands.logout,\n Effect.fn(\"cli.auth.logout\")((input) =>\n logout({\n target: Option.getOrUndefined(input.target),\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n }).pipe(handlePromptErrors),\n ),\n)\n\nconst logout = Effect.fn(\"cli.auth.logout.run\")(function* (input: {\n target?: string\n server?: string\n standalone: boolean\n}) {\n if (!input.target)\n yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n intro(\"Remove credential\")\n const client = yield* createClient({ server: input.server, standalone: input.standalone })\n const integrations = yield* loadIntegrations(client)\n const integration = yield* chooseIntegration(integrations, input.target)\n const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n if (credentials.length === 0) {\n const environment = integration.connections\n .filter((connection) => connection.type === \"env\")\n .map((connection) => connection.name)\n if (environment.length) {\n yield* Effect.fail(\n new Error(\n `${integration.name} is authenticated through ${environment.join(\", \")}; unset the environment variable to disconnect`,\n ),\n )\n }\n yield* Effect.fail(new Error(`No stored credentials for ${integration.name}`))\n }\n const progress = spinner()\n progress.start(\"Removing credential...\")\n yield* Effect.forEach(\n credentials,\n (connection) =>\n request((signal) => client.credential.remove({ credentialID: connection.id, location }, { signal })),\n { concurrency: \"unbounded\", discard: true },\n ).pipe(\n Effect.tap(() => Effect.sync(() => progress.stop(`Disconnected from ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Failed to remove credential\", 1))),\n )\n outro(\"Done\")\n})\n\nconst chooseIntegration = Effect.fn(\"cli.auth.logout.integration\")(function* (\n integrations: IntegrationInfo[],\n target?: string,\n) {\n if (target) return yield* resolveIntegration(integrations, target)\n const configured = integrations.filter((integration) =>\n integration.connections.some((connection) => connection.type === \"credential\"),\n )\n if (configured.length === 0) return yield* Effect.fail(new Error(\"No stored credentials found\"))\n const id = yield* prompt<string>(() =>\n autocomplete({\n message: \"Select integration\",\n maxItems: 8,\n options: configured.map((integration) => ({\n value: integration.id,\n label: integration.name,\n hint: integration.connections\n .filter((connection) => connection.type === \"credential\")\n .map((connection) => connection.label)\n .join(\", \"),\n })),\n }),\n )\n return yield* resolveIntegration(configured, id)\n})\n" | ||
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| "debugId": "BF6FE2A1C934D91B64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["src/services/service-config.ts"], | ||
| "sourcesContent": [ | ||
| "import { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"../version\"\nimport { Hash } from \"@opencode-ai/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n hostname: Schema.optional(Schema.String),\n port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n password: Schema.optional(Schema.String),\n env: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\", \"env\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return \"service.json\"\n return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return 0xc0de\n if (channel === \"local\") return 0xc0df\n return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"local\") return\n return `service-${Hash.fast(channel)}.json`\n}\n\nexport function versionBelongsToChannel(\n version: string | undefined,\n channel = OPENCODE_CHANNEL,\n installedVersion = OPENCODE_VERSION,\n) {\n if (version === undefined) return false\n if (version === installedVersion) return true\n const prefix = `0.0.0-${channel}-`\n if (!version.startsWith(prefix)) return false\n return /^\\d+(?:\\.\\d+)?$/.test(version.slice(prefix.length))\n}\n\nexport const migrateRegistration = Effect.fnUntraced(function* (\n legacy: string,\n file: string,\n channel = OPENCODE_CHANNEL,\n installedVersion = OPENCODE_VERSION,\n) {\n const fs = yield* FileSystem.FileSystem\n const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n if (Option.isNone(text)) return\n const registration = yield* decodeRegistration(text.value).pipe(Effect.option)\n if (Option.isNone(registration)) return\n if (!versionBelongsToChannel(registration.value.version, channel, installedVersion)) return\n yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nexport const migrateConfig = Effect.fnUntraced(function* (legacy: string, file: string) {\n const fs = yield* FileSystem.FileSystem\n const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n if (Option.isNone(text)) return\n if (Option.isNone(yield* decodeInfo(text.value).pipe(Effect.option))) return\n yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nfunction configKey(key: string): Key {\n if (key === \"hostname\" || key === \"port\" || key === \"password\" || key === \"env\") return key\n throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n const fs = yield* FileSystem.FileSystem\n const global = yield* Global.Service\n const name = filename()\n const legacy = legacyFilename()\n const file = path.join(global.state, name)\n return {\n fs,\n file,\n legacyConfigFile: legacy ? path.join(global.config, legacy) : undefined,\n legacyRegistrationFiles: [\n ...(legacy ? [path.join(global.state, legacy)] : []),\n ...(name !== \"service.json\" && OPENCODE_CHANNEL !== \"local\" ? [path.join(global.state, \"service.json\")] : []),\n ],\n configFile: path.join(global.config, name),\n }\n})\n\nexport const options = Effect.fnUntraced(function* (input: { readonly checkVersion?: boolean } = {}) {\n const { file, legacyRegistrationFiles } = yield* paths\n yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n return {\n file,\n version: input.checkVersion ? OPENCODE_VERSION : undefined,\n env: (yield* read()).env,\n command: [\n ...selfCommand(),\n \"serve\",\n \"--service\",\n ],\n }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n const { fs, configFile, legacyConfigFile } = yield* paths\n if (legacyConfigFile) yield* migrateConfig(legacyConfigFile, configFile)\n return yield* fs.readFileString(configFile).pipe(\n Effect.flatMap(decodeInfo),\n Effect.orElseSucceed(() => ({}) as Info),\n )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n const { fs, configFile } = yield* paths\n const temp = configFile + \".tmp\"\n yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n const existing = yield* read()\n if (value === undefined && existing.password) return existing.password\n const next = value ?? randomBytes(32).toString(\"base64url\")\n\n // Keep one private credential across server restarts so discovered clients\n // can reconnect without exposing a password flag or environment variable.\n yield* write({ ...existing, password: next })\n return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string, name?: string) {\n if (key === undefined) {\n const { password: _password, ...safe } = yield* read()\n return JSON.stringify(safe, null, 2)\n }\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)\n switch (selected) {\n case \"hostname\": {\n return (yield* read()).hostname ?? \"\"\n }\n case \"port\": {\n const port = (yield* read()).port\n return port === undefined ? \"\" : String(port)\n }\n case \"password\": {\n return yield* password()\n }\n case \"env\": {\n const env = (yield* read()).env ?? {}\n return name === undefined ? JSON.stringify(env, null, 2) : (env[name] ?? \"\")\n }\n }\n throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string, nestedValue?: string) {\n const selected = configKey(key)\n if (selected !== \"env\" && nestedValue !== undefined)\n throw new Error(`Usage: opencode service set ${selected} <value>`)\n switch (selected) {\n case \"hostname\": {\n yield* Service.stop(yield* options())\n yield* write({ ...(yield* read()), hostname: value })\n return\n }\n case \"port\": {\n const port = Number(value)\n if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n yield* Service.stop(yield* options())\n yield* write({ ...(yield* read()), port })\n return\n }\n case \"password\": {\n yield* Service.stop(yield* options())\n yield* password(value)\n return\n }\n case \"env\": {\n if (nestedValue === undefined) throw new Error(\"Usage: opencode service set env <key> <value>\")\n yield* Service.stop(yield* options())\n const existing = yield* read()\n yield* write({ ...existing, env: { ...existing.env, [value]: nestedValue } })\n return\n }\n }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string, name?: string) {\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service unset ${selected}`)\n switch (selected) {\n case \"hostname\": {\n yield* Service.stop(yield* options())\n const { hostname: _hostname, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"port\": {\n yield* Service.stop(yield* options())\n const { port: _port, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"password\": {\n yield* Service.stop(yield* options())\n const { password: _password, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"env\": {\n if (name === undefined) throw new Error(\"Usage: opencode service unset env <key>\")\n yield* Service.stop(yield* options())\n const existing = yield* read()\n const { [name]: _removed, ...env } = existing.env ?? {}\n const { env: _existingEnv, ...rest } = existing\n yield* write(Object.keys(env).length === 0 ? rest : { ...rest, env })\n return\n }\n }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n" | ||
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| ||
| "debugId": "EA0BEB4A014A4A7964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/list.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { createClient, loadIntegrations } from \"./shared\"\nimport { errorMessage } from \"../../../util/error\"\n\nexport default Runtime.handler(Commands.commands.auth.commands.list, (input) =>\n list(input).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n)\n\nconst list = Effect.fn(\"cli.auth.list\")(function* (input) {\n const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })\n const integrations = (yield* loadIntegrations(client)).filter((integration) => integration.connections.length > 0)\n if (input.format === \"json\") {\n process.stdout.write(\n JSON.stringify(\n integrations.map((integration) => ({\n id: integration.id,\n name: integration.name,\n connections: integration.connections,\n })),\n null,\n 2,\n ) + EOL,\n )\n return\n }\n const rows = integrations.flatMap((integration) =>\n integration.connections.map((connection) => ({\n integration: integration.name,\n source: connection.type === \"credential\" ? connection.label : connection.name,\n type: connection.type === \"credential\" ? \"stored\" : \"environment\",\n })),\n )\n if (rows.length === 0) {\n process.stdout.write(\"No authenticated integrations\" + EOL)\n return\n }\n const width = Math.max(...rows.map((row) => row.integration.length)) + 2\n process.stdout.write(\n rows.map((row) => row.integration.padEnd(width) + row.source.padEnd(28) + row.type).join(EOL) + EOL,\n )\n})\n" | ||
| ], | ||
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| "debugId": "98B5D963794C1F2064756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"], | ||
| "sourcesContent": [ | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic-compatible\")\n\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly provider?: string\n readonly baseURL: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport type Settings = ProviderPackage.Settings &\n (\n | { readonly apiKey?: string; readonly authToken?: never }\n | { readonly apiKey?: never; readonly authToken?: string }\n ) & {\n readonly baseURL: string\n readonly provider?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport const routes = [AnthropicMessages.route]\n\nconst auth = (input: ProviderAuthOption<\"optional\">) => {\n if (\"auth\" in input && input.auth) return input.auth\n return Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\").pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config) => {\n if (!input.baseURL) throw new Error(\"Anthropic-compatible providers require a baseURL\")\n const provider = input.provider ?? \"anthropic-compatible\"\n const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n const route = AnthropicMessages.route.with({\n ...rest,\n provider,\n endpoint: { baseURL },\n auth: auth(input),\n })\n return {\n id: ProviderID.make(provider),\n model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined && settings.authToken !== undefined)\n throw new Error(\"Anthropic-compatible apiKey cannot be combined with authToken\")\n return configure({\n ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n provider: settings.provider,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible.js\"\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { AnthropicCompatible } from \"./anthropic-compatible.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic\")\n\nexport const routes = [AnthropicMessages.route]\n\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport type Settings = ProviderPackage.Settings &\n (\n | { readonly apiKey?: string; readonly authToken?: never }\n | { readonly apiKey?: never; readonly authToken?: string }\n ) & {\n readonly baseURL?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n if (\"auth\" in options && options.auth) return options.auth\n return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n .orElse(Auth.config(\"ANTHROPIC_API_KEY\"))\n .pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config = {}) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n const compatible = AnthropicCompatible.configure({\n ...rest,\n auth: auth(input),\n baseURL: baseURL ?? AnthropicMessages.DEFAULT_BASE_URL,\n provider: id,\n })\n return {\n id,\n model: (modelID: string | ModelID) => compatible.model(modelID),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined && settings.authToken !== undefined)\n throw new Error(\"Anthropic apiKey cannot be combined with authToken\")\n return configure({\n ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/ui/timeline.tsx", "src/commands/handlers/console/login.ts"], | ||
| "sourcesContent": [ | ||
| "import { createComponent as _$createComponent } from \"@opentui/solid\";\nimport { effect as _$effect } from \"@opentui/solid\";\nimport { createTextNode as _$createTextNode } from \"@opentui/solid\";\nimport { insertNode as _$insertNode } from \"@opentui/solid\";\nimport { insert as _$insert } from \"@opentui/solid\";\nimport { setProp as _$setProp } from \"@opentui/solid\";\nimport { createElement as _$createElement } from \"@opentui/solid\";\n/** @jsxImportSource @opentui/solid */\nimport { createCliRenderer, RGBA } from \"@opentui/core\";\nimport { createScrollbackWriter, render, useKeyboard } from \"@opentui/solid\";\nimport { registerOpencodeSpinner } from \"@opencode-ai/tui/component/register-spinner\";\nimport { Show, createSignal } from \"solid-js\";\nregisterOpencodeSpinner();\nconst SPINNER_FRAMES = [\"⠋\", \"⠙\", \"⠹\", \"⠸\", \"⠼\", \"⠴\", \"⠦\", \"⠧\", \"⠇\", \"⠏\"];\nconst IDLE_TIMEOUT = 1_000;\nconst COLORS = {\n accent: RGBA.fromIndex(6),\n error: RGBA.fromIndex(1),\n foreground: RGBA.defaultForeground(),\n muted: RGBA.fromIndex(8),\n success: RGBA.fromIndex(2)\n};\nconst ROWS = {\n intro: {\n marker: \"┌\",\n color: COLORS.muted,\n connector: true\n },\n item: {\n marker: \"●\",\n color: COLORS.accent,\n connector: true\n },\n success: {\n marker: \"◇\",\n color: COLORS.success,\n connector: true\n },\n failure: {\n marker: \"■\",\n color: COLORS.error,\n connector: false\n },\n outro: {\n marker: \"└\",\n color: COLORS.muted,\n connector: false\n }\n};\nfunction row(kind, value) {\n const style = ROWS[kind];\n return createScrollbackWriter(() => (() => {\n var _el$ = _$createElement(\"box\"),\n _el$2 = _$createElement(\"box\"),\n _el$3 = _$createElement(\"text\"),\n _el$4 = _$createElement(\"text\");\n _$insertNode(_el$, _el$2);\n _$setProp(_el$, \"width\", \"100%\");\n _$setProp(_el$, \"minHeight\", 1);\n _$setProp(_el$, \"flexDirection\", \"column\");\n _$insertNode(_el$2, _el$3);\n _$insertNode(_el$2, _el$4);\n _$setProp(_el$2, \"width\", \"100%\");\n _$setProp(_el$2, \"minHeight\", 1);\n _$setProp(_el$2, \"flexDirection\", \"row\");\n _$setProp(_el$2, \"gap\", 1);\n _$setProp(_el$3, \"flexShrink\", 0);\n _$insert(_el$3, () => style.marker);\n _$setProp(_el$4, \"wrapMode\", \"word\");\n _$insert(_el$4, value);\n _$insert(_el$, _$createComponent(Show, {\n get when() {\n return style.connector;\n },\n get children() {\n var _el$5 = _$createElement(\"text\");\n _$insertNode(_el$5, _$createTextNode(`│`));\n _$effect(_$p => _$setProp(_el$5, \"fg\", COLORS.muted, _$p));\n return _el$5;\n }\n }), null);\n _$effect(_p$ => {\n var _v$ = style.color,\n _v$2 = COLORS.foreground;\n _v$ !== _p$.e && (_p$.e = _$setProp(_el$3, \"fg\", _v$, _p$.e));\n _v$2 !== _p$.t && (_p$.t = _$setProp(_el$4, \"fg\", _v$2, _p$.t));\n return _p$;\n }, {\n e: undefined,\n t: undefined\n });\n return _el$;\n })(), {\n startOnNewLine: true,\n trailingNewline: !style.connector\n });\n}\nfunction TimelineFooter(props) {\n useKeyboard(event => {\n if (event.name !== \"escape\" && !(event.ctrl && event.name === \"c\")) return;\n event.preventDefault();\n props.cancel();\n });\n return (() => {\n var _el$7 = _$createElement(\"box\");\n _$setProp(_el$7, \"width\", \"100%\");\n _$setProp(_el$7, \"height\", 1);\n _$setProp(_el$7, \"flexDirection\", \"row\");\n _$setProp(_el$7, \"gap\", 1);\n _$insert(_el$7, _$createComponent(Show, {\n get when() {\n return props.pending();\n },\n children: text => [(() => {\n var _el$8 = _$createElement(\"spinner\");\n _$setProp(_el$8, \"frames\", SPINNER_FRAMES);\n _$setProp(_el$8, \"interval\", 80);\n _$effect(_$p => _$setProp(_el$8, \"color\", COLORS.accent, _$p));\n return _el$8;\n })(), (() => {\n var _el$9 = _$createElement(\"text\");\n _$setProp(_el$9, \"wrapMode\", \"none\");\n _$setProp(_el$9, \"truncate\", true);\n _$insert(_el$9, text);\n _$effect(_$p => _$setProp(_el$9, \"fg\", COLORS.foreground, _$p));\n return _el$9;\n })()]\n }));\n return _el$7;\n })();\n}\nfunction bounded(task) {\n return new Promise(resolve => {\n const timer = setTimeout(resolve, IDLE_TIMEOUT);\n timer.unref();\n const finish = () => {\n clearTimeout(timer);\n resolve();\n };\n void task.then(finish, finish);\n });\n}\nasync function shutdown(renderer) {\n await bounded(renderer.idle());\n try {\n renderer.externalOutputMode = \"passthrough\";\n } finally {\n try {\n renderer.screenMode = \"main-screen\";\n } finally {\n if (!renderer.isDestroyed) renderer.destroy();\n }\n }\n}\nexport async function createTimelineHost() {\n const stdout = process.stdout;\n const controller = new AbortController();\n const signals = [\"SIGINT\", \"SIGHUP\", \"SIGQUIT\"];\n const cancel = () => {\n if (!controller.signal.aborted) controller.abort();\n };\n signals.forEach(signal => process.on(signal, cancel));\n if (!stdout.isTTY || !process.stdin.isTTY) {\n let closed = false;\n let writing = false;\n let active;\n let closeTask;\n const write = async (kind, text) => {\n if (closed) throw new Error(\"timeline closed\");\n if (writing) throw new Error(\"timeline write already in progress\");\n writing = true;\n try {\n const style = kind === \"pending\" ? undefined : ROWS[kind];\n const marker = kind === \"pending\" ? \".\" : ROWS[kind].marker;\n const connector = style?.connector ? \"│\\n\" : \"\";\n active = new Promise((resolve, reject) => {\n stdout.write(`${marker} ${text}\\n${connector}`, error => error ? reject(error) : resolve());\n });\n await active;\n } finally {\n writing = false;\n active = undefined;\n }\n };\n const close = () => {\n if (closeTask) return closeTask;\n closed = true;\n closeTask = (async () => {\n await active?.catch(() => {});\n signals.forEach(signal => process.off(signal, cancel));\n })();\n return closeTask;\n };\n return {\n signal: controller.signal,\n intro: text => write(\"intro\", text),\n item: text => write(\"item\", text),\n pending: text => write(\"pending\", text),\n success: text => write(\"success\", text),\n failure: text => write(\"failure\", text),\n outro: text => write(\"outro\", text),\n close\n };\n }\n let renderer;\n try {\n // Start on a fresh row so delayed SSH cursor reports cannot make\n // split-footer overwrite the shell command.\n process.stdout.write(\"\\n\");\n renderer = await createCliRenderer({\n stdin: process.stdin,\n useMouse: false,\n autoFocus: false,\n openConsoleOnError: false,\n exitOnCtrlC: false,\n exitSignals: [],\n screenMode: \"split-footer\",\n footerHeight: 1,\n externalOutputMode: \"capture-stdout\",\n consoleMode: \"disabled\",\n clearOnShutdown: false\n });\n const activeRenderer = renderer;\n const [pending, setPending] = createSignal();\n const renderTask = render(() => _$createComponent(TimelineFooter, {\n pending: pending,\n cancel: cancel\n }), activeRenderer);\n void renderTask.catch(cancel);\n await bounded(activeRenderer.idle());\n let closed = false;\n let writing = false;\n let active;\n let closeTask;\n const write = (kind, text) => {\n if (closed) return Promise.reject(new Error(\"timeline closed\"));\n if (writing) return Promise.reject(new Error(\"timeline write already in progress\"));\n writing = true;\n active = (async () => {\n if (kind === \"pending\") {\n setPending(text);\n activeRenderer.requestRender();\n } else {\n if (kind === \"success\" || kind === \"failure\" || kind === \"outro\") setPending(undefined);\n activeRenderer.writeToScrollback(row(kind, text));\n activeRenderer.requestRender();\n }\n await bounded(activeRenderer.idle());\n })().finally(() => {\n writing = false;\n active = undefined;\n });\n return active;\n };\n const close = () => {\n if (closeTask) return closeTask;\n closed = true;\n closeTask = (async () => {\n await active?.catch(() => {});\n try {\n await shutdown(activeRenderer);\n await bounded(renderTask);\n } finally {\n signals.forEach(signal => process.off(signal, cancel));\n }\n })();\n return closeTask;\n };\n return {\n signal: controller.signal,\n intro: text => write(\"intro\", text),\n item: text => write(\"item\", text),\n pending: text => write(\"pending\", text),\n success: text => write(\"success\", text),\n failure: text => write(\"failure\", text),\n outro: text => write(\"outro\", text),\n close\n };\n } catch (error) {\n try {\n if (renderer) await shutdown(renderer);\n } finally {\n signals.forEach(signal => process.off(signal, cancel));\n }\n throw error;\n }\n}", | ||
| "import { Cause, Effect, Exit, Option } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\nimport { errorMessage } from \"../../../util/error\"\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(() =>\n timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(Cause.squash(exit.cause))),\n ).pipe(Effect.ignore)\n process.exitCode = cancelled ? 130 : 1\n }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n yield* request(() => timeline.intro(\"Log in\"))\n yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n const method = yield* required(\n integration.methods.find((candidate) => candidate.type === \"oauth\"),\n \"OpenCode Console login is unavailable\",\n )\n\n yield* request(() => timeline.pending(\"Starting authorization...\"))\n const started = yield* request((signal) =>\n client.integration.oauth.connect(\n {\n integrationID,\n methodID: method.id,\n ...(server ? { answer: { server } } : {}),\n location,\n },\n { signal },\n ),\n )\n const attempt = started.data\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.oauth.cancel(\n { integrationID, attemptID: attempt.attemptID, location },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n yield* request(() => timeline.item(attempt.instructions))\n yield* request(async () => {\n const { default: open } = await import(\"open\")\n await open(attempt.url)\n }).pipe(Effect.ignore)\n yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n yield* Effect.sleep(500)\n }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({\n try: task,\n catch: (cause) => cause,\n })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n" | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/version.ts"], | ||
| "sourcesContent": [ | ||
| "declare const OPENCODE_VERSION: string\ndeclare const OPENCODE_CHANNEL: string\n\nconst version = typeof OPENCODE_VERSION === \"string\" ? OPENCODE_VERSION : \"local\"\nconst channel = typeof OPENCODE_CHANNEL === \"string\" ? OPENCODE_CHANNEL : \"local\"\n\nexport { version as OPENCODE_VERSION, channel as OPENCODE_CHANNEL }\nexport const OPENCODE_LOCAL = channel === \"local\"\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/lifecycle.ts", "../ai/src/protocols/utils/gemini-tool-schema.ts", "../ai/src/protocols/utils/tool-schema.ts"], | ||
| "sourcesContent": [ | ||
| "import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from \"../../schema/index.js\"\n\nexport interface State {\n readonly stepStarted: boolean\n readonly text: ReadonlySet<string>\n readonly reasoning: ReadonlySet<string>\n}\n\nexport const initial = (): State => ({ stepStarted: false, text: new Set(), reasoning: new Set() })\n\nexport const stepStart = (state: State, events: LLMEvent[]): State => {\n if (state.stepStarted) return state\n events.push(LLMEvent.stepStart({ index: 0 }))\n return { ...state, stepStarted: true }\n}\n\nexport const textStart = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textStart({ id, providerMetadata }))\n return { ...stepped, text: new Set([...stepped.text, id]) }\n}\n\nexport const textDelta = (\n state: State,\n events: LLMEvent[],\n id: string,\n text: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n const started = textStart(state, events, id)\n events.push(LLMEvent.textDelta({ id, text, providerMetadata }))\n return started\n}\n\nexport const reasoningStart = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningStart({ id, providerMetadata }))\n return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }\n}\n\nexport const reasoningDelta = (\n state: State,\n events: LLMEvent[],\n id: string,\n text: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n const started = reasoningStart(state, events, id, providerMetadata)\n events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))\n return started\n}\n\nexport const reasoningEnd = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (!state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningEnd({ id, providerMetadata }))\n const reasoning = new Set(stepped.reasoning)\n reasoning.delete(id)\n return { ...stepped, reasoning }\n}\n\nexport const textEnd = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (!state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textEnd({ id, providerMetadata }))\n const text = new Set(stepped.text)\n text.delete(id)\n return { ...stepped, text }\n}\n\nconst closeOpenBlocks = (state: State, events: LLMEvent[]): State => {\n for (const id of state.reasoning) events.push(LLMEvent.reasoningEnd({ id }))\n for (const id of state.text) events.push(LLMEvent.textEnd({ id }))\n return { ...state, text: new Set(), reasoning: new Set() }\n}\n\nexport const finish = (\n state: State,\n events: LLMEvent[],\n input: {\n readonly reason: FinishReasonDetails\n readonly usage?: Usage\n readonly providerMetadata?: ProviderMetadata\n },\n): State => {\n const stepped = closeOpenBlocks(stepStart(state, events), events)\n events.push(\n LLMEvent.stepFinish({\n index: 0,\n reason: input.reason,\n usage: input.usage,\n providerMetadata: input.providerMetadata,\n }),\n LLMEvent.finish(input),\n )\n return { ...stepped, stepStarted: false }\n}\n\nexport * as Lifecycle from \"./lifecycle.js\"\n", | ||
| "import { isRecord } from \"../../utils/record.js\"\n\n// Gemini accepts a JSON Schema-like dialect for tool parameters, but rejects a\n// handful of common JSON Schema shapes. Keep this projection isolated so the\n// Gemini protocol file still reads like the other protocol modules.\nconst SCHEMA_INTENT_KEYS = [\n \"type\",\n \"properties\",\n \"items\",\n \"prefixItems\",\n \"enum\",\n \"const\",\n \"$ref\",\n \"additionalProperties\",\n \"patternProperties\",\n \"required\",\n \"not\",\n \"if\",\n \"then\",\n \"else\",\n]\n\nconst hasCombiner = (schema: unknown) =>\n isRecord(schema) && (Array.isArray(schema.anyOf) || Array.isArray(schema.oneOf) || Array.isArray(schema.allOf))\n\nconst hasSchemaIntent = (schema: unknown) =>\n isRecord(schema) && (hasCombiner(schema) || SCHEMA_INTENT_KEYS.some((key) => key in schema))\n\nconst sanitizeNode = (schema: unknown): unknown => {\n if (!isRecord(schema)) return Array.isArray(schema) ? schema.map(sanitizeNode) : schema\n\n const result: Record<string, unknown> = Object.fromEntries(\n Object.entries(schema).map(([key, value]) => [\n key,\n key === \"enum\" && Array.isArray(value) ? value.map(String) : sanitizeNode(value),\n ]),\n )\n\n if (Array.isArray(result.enum) && (result.type === \"integer\" || result.type === \"number\")) result.type = \"string\"\n\n const properties = result.properties\n if (result.type === \"object\" && isRecord(properties) && Array.isArray(result.required)) {\n result.required = result.required.filter((field) => typeof field === \"string\" && field in properties)\n }\n\n if (result.type === \"array\" && !hasCombiner(result)) {\n result.items = result.items ?? {}\n if (isRecord(result.items) && !hasSchemaIntent(result.items)) result.items = { ...result.items, type: \"string\" }\n }\n\n if (typeof result.type === \"string\" && result.type !== \"object\" && !hasCombiner(result)) {\n delete result.properties\n delete result.required\n }\n\n return result\n}\n\nconst emptyObjectSchema = (schema: Record<string, unknown>) =>\n schema.type === \"object\" &&\n (!isRecord(schema.properties) || Object.keys(schema.properties).length === 0) &&\n !schema.additionalProperties\n\nconst projectNode = (schema: unknown, nested = false): Record<string, unknown> | undefined => {\n if (!isRecord(schema)) return undefined\n if (!nested && emptyObjectSchema(schema)) return undefined\n const types = Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\") : undefined\n const anyOf = Array.isArray(schema.anyOf) ? schema.anyOf : undefined\n const hasNullAnyOf = anyOf?.some((item) => isRecord(item) && item.type === \"null\") ?? false\n const anyOfTypes = hasNullAnyOf ? anyOf?.filter((item) => !isRecord(item) || item.type !== \"null\") : anyOf\n const flattenedAnyOf = hasNullAnyOf && anyOfTypes?.length === 1 ? projectNode(anyOfTypes[0], true) : undefined\n const result = Object.fromEntries(\n [\n [\"description\", schema.description],\n [\"required\", schema.required],\n [\"format\", schema.format],\n [\"type\", types ? (types.length === 0 ? \"null\" : undefined) : schema.type],\n [\n \"nullable\",\n (Array.isArray(schema.type) && schema.type.includes(\"null\") && types && types.length > 0) || hasNullAnyOf\n ? true\n : undefined,\n ],\n [\"enum\", schema.const !== undefined ? [schema.const] : schema.enum],\n [\n \"properties\",\n isRecord(schema.properties)\n ? Object.fromEntries(Object.entries(schema.properties).map(([key, value]) => [key, projectNode(value, true)]))\n : undefined,\n ],\n [\n \"items\",\n Array.isArray(schema.items)\n ? schema.items.map((item) => projectNode(item, true))\n : schema.items === undefined\n ? undefined\n : projectNode(schema.items, true),\n ],\n [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map((item) => projectNode(item, true)) : undefined],\n [\n \"anyOf\",\n anyOfTypes\n ? hasNullAnyOf && anyOfTypes.length === 1\n ? undefined\n : anyOfTypes.map((item) => projectNode(item, true))\n : types && types.length > 0\n ? types.map((type) => ({ type }))\n : undefined,\n ],\n [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map((item) => projectNode(item, true)) : undefined],\n [\"minLength\", schema.minLength],\n ].filter((entry) => entry[1] !== undefined),\n )\n return flattenedAnyOf ? { ...result, ...flattenedAnyOf } : result\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema.js\"\n", | ||
| "import type { JsonSchema, LanguageModelToolSchemaCompatibility } from \"../../schema/index.js\"\nimport { isRecord } from \"../../utils/record.js\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema.js\"\n\nconst 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 => schema\nconst responses = openAI\n\nconst gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n schema: JsonSchema,\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n): JsonSchema => {\n if (compatibility === undefined) return schema\n switch (compatibility) {\n case \"gemini\":\n return gemini(schema)\n case \"moonshot\":\n return moonshot(schema)\n }\n}\n\nexport const ToolSchemaProjection = {\n gemini,\n modelCompatibility,\n moonshot,\n openAI,\n responses,\n} as const\n" | ||
| ], | ||
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| "debugId": "C1BF5C0DC0441C4864756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/stop.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.stop,\n Effect.fn(\"cli.service.stop\")(function* () {\n yield* Service.stop(yield* ServiceConfig.options())\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/list.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type PluginInfo } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { Config } from \"../../../config\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { discoverTuiPlugins, tuiPluginDirectories } from \"@opencode-ai/tui/plugin/discovery\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.list,\n Effect.fn(\"cli.plugin.list\")(function* (input) {\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n const config = yield* Config.Service\n const global = yield* Global.Service\n const info = yield* config.get()\n const discovered = yield* Effect.promise(() =>\n tuiPluginDirectories(process.cwd(), global.config).then(discoverTuiPlugins),\n )\n const output = format(\n response.data,\n [\n ...(info.plugins ?? []).flatMap((entry) => {\n const target = typeof entry === \"string\" ? entry : entry.package\n return target.startsWith(\"-\") ? [] : [{ target, source: \"configured\" as const }]\n }),\n ...discovered.map((target) => ({ target, source: \"discovered\" as const })),\n ],\n input.builtin,\n )\n if (!output) {\n process.stdout.write(\"No plugins found\" + EOL)\n return\n }\n process.stdout.write(output + EOL)\n }),\n)\n\nexport function format(\n plugins: readonly PluginInfo[],\n tui: ReadonlyArray<{ readonly target: string; readonly source: \"configured\" | \"discovered\" }>,\n builtin = false,\n) {\n const server = plugins\n .filter((plugin) => builtin || plugin.source.type !== \"builtin\")\n .toSorted((a, b) => name(a).localeCompare(name(b)))\n .map((plugin) => `${name(plugin)} (${plugin.status})`)\n const advertised = plugins.flatMap((plugin) =>\n plugin.status === \"active\" && plugin.tui && plugin.source.type === \"package\"\n ? [{ target: plugin.source.package, source: \"advertised\" as const }]\n : [],\n )\n const targets = [...tui, ...advertised]\n .filter((plugin, index, all) => all.findIndex((candidate) => candidate.target === plugin.target) === index)\n .toSorted((a, b) => a.target.localeCompare(b.target))\n .map((plugin) => `${plugin.target} (${plugin.source})`)\n return [\n targets.length ? [\"TUI\", ...targets].join(EOL) : undefined,\n server.length ? [\"Server\", ...server].join(EOL) : undefined,\n ]\n .filter((section) => section !== undefined)\n .join(EOL + EOL)\n}\n\nfunction name(plugin: PluginInfo) {\n if (plugin.id) return plugin.id\n if (plugin.source.type === \"package\") return plugin.source.package\n if (plugin.source.type === \"local\") return plugin.source.path\n return plugin.source.type\n}\n" | ||
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| "debugId": "4CB42881B218BC4264756E2164756E21", | ||
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| } |
| { | ||
| "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" | ||
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| "debugId": "DD64EA2EF30766F464756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex-chat.ts"], | ||
| "sourcesContent": [ | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleChat } from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst route = OpenAICompatibleChat.route.with({\n id: \"google-vertex-chat\",\n provider: id,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "1E038D708FA91CFA64756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/import.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Session } from \"@opencode-ai/schema/session\"\nimport { SessionTransfer } from \"@opencode-ai/schema/session-transfer\"\nimport { Effect, Option, Schema } from \"effect\"\nimport { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n Commands.commands.import,\n Effect.fn(\"cli.import\")(function* (input) {\n const text = yield* Effect.tryPromise({\n try: () =>\n input.file.startsWith(\"http://\") || input.file.startsWith(\"https://\")\n ? fetch(input.file).then((response) => {\n if (!response.ok) throw new Error(`Failed to fetch session data: ${response.statusText}`)\n return response.text()\n })\n : Bun.file(input.file).text(),\n catch: (cause) =>\n new Error(`Failed to read session data: ${cause instanceof Error ? cause.message : String(cause)}`),\n })\n const data = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(SessionTransfer.Data))(text)\n const encoded = Schema.encodeSync(SessionTransfer.Data)(data)\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const location = yield* Effect.promise(() =>\n client.location.get({\n location: { directory: path.resolve(Option.getOrElse(input.directory, () => process.cwd())) },\n }),\n )\n const response = yield* Effect.promise(() =>\n fetch(new URL(\"/api/session/import\", server.endpoint.url), {\n method: \"POST\",\n headers: { ...Service.headers(server.endpoint), \"content-type\": \"application/json\" },\n body: JSON.stringify({\n ...encoded,\n location: { directory: location.directory, workspaceID: location.workspaceID },\n }),\n }),\n )\n if (response.status === 409) {\n process.stderr.write(`Session already exists${EOL}`)\n return\n }\n if (!response.ok) yield* Effect.fail(new Error(`Failed to import session: ${response.statusText}`))\n const imported = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Schema.Struct({ data: Session.Info })))(\n yield* Effect.promise(() => response.text()),\n )\n process.stdout.write(`Imported session: ${imported.data.id}${EOL}`)\n }),\n)\n" | ||
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| "debugId": "3918367AFC6A948064756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/partial-json-options.ts", "../ai/src/protocols/utils/partial-json.ts", "../ai/src/protocols/utils/tool-stream.ts"], | ||
| "sourcesContent": [ | ||
| "/*\n * Adapted from partial-json by the Promplate Dev Team:\n * https://github.com/promplate/partial-json-parser-js/blob/main/src/options.ts\n * Licensed under the MIT License; see partial-json.ts for the complete notice.\n */\n\n/**\n * allow partial strings like `\"hello \\u12` to be parsed as `\"hello `\n */\nexport const STR = 0b000000001\n\n/**\n * allow partial numbers like `123.` to be parsed as `123`\n */\nexport const NUM = 0b000000010\n\n/**\n * allow partial arrays like `[1, 2,` to be parsed as `[1, 2]`\n */\nexport const ARR = 0b000000100\n\n/**\n * allow partial objects like `{\"a\": 1, \"b\":` to be parsed as `{\"a\": 1}`\n */\nexport const OBJ = 0b000001000\n\n/**\n * allow `nu` to be parsed as `null`\n */\nexport const NULL = 0b000010000\n\n/**\n * allow `tr` to be parsed as `true`, and `fa` to be parsed as `false`\n */\nexport const BOOL = 0b000100000\n\n/**\n * allow `Na` to be parsed as `NaN`\n */\nexport const NAN = 0b001000000\n\n/**\n * allow `Inf` to be parsed as `Infinity`\n */\nexport const INFINITY = 0b010000000\n\n/**\n * allow `-Inf` to be parsed as `-Infinity`\n */\nexport const _INFINITY = 0b100000000\n\nexport const INF = INFINITY | _INFINITY\nexport const SPECIAL = NULL | BOOL | INF | NAN\nexport const ATOM = STR | NUM | SPECIAL\nexport const COLLECTION = ARR | OBJ\nexport const ALL = ATOM | COLLECTION\n\n/**\n * Control what types you allow to be partially parsed.\n * The default is to allow all types to be partially parsed, which in most cases is the best option.\n */\nexport const Allow = { STR, NUM, ARR, OBJ, NULL, BOOL, NAN, INFINITY, _INFINITY, INF, SPECIAL, ATOM, COLLECTION, ALL }\n\nexport default Allow\n", | ||
| "/*\n * Adapted from partial-json by the Promplate Dev Team:\n * https://github.com/promplate/partial-json-parser-js\n *\n * MIT License\n *\n * Copyright (c) 2023 Promplate Dev Team\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in all\n * copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n * SOFTWARE.\n */\n\nimport { Schema } from \"effect\"\nimport { Allow } from \"./partial-json-options.js\"\nexport * from \"./partial-json-options.js\"\n\nexport class PartialJSON extends Error {}\nexport class MalformedJSON extends Error {}\n\nconst decodeJson = Schema.decodeUnknownSync(Schema.fromJsonString(Schema.Unknown))\n\n/** Parse complete or incomplete JSON, restricted by the supplied partial-value flags. */\nexport function parseJSON(jsonString: string, allowPartial = Allow.ALL): unknown {\n if (typeof jsonString !== \"string\") throw new TypeError(`expecting str, got ${typeof jsonString}`)\n const input = jsonString.trim()\n if (!input) throw new Error(`${jsonString} is empty`)\n try {\n return decodeJson(input)\n } catch {}\n\n const repaired = repairJSON(input)\n if (repaired !== input) {\n try {\n return decodeJson(repaired)\n } catch {}\n }\n\n try {\n return _parseJSON(input, allowPartial)\n } catch (error) {\n if (repaired !== input) return _parseJSON(repaired, allowPartial)\n throw error\n }\n}\n\nconst repairJSON = (input: string) => {\n let repaired = \"\"\n let quoted = false\n\n for (let index = 0; index < input.length; index++) {\n const character = input[index]\n if (!quoted) {\n repaired += character\n if (character === '\"') quoted = true\n continue\n }\n\n if (character === '\"') {\n repaired += character\n quoted = false\n continue\n }\n\n if (character === \"\\\\\") {\n const next = input[index + 1]\n if (next === \"u\" && /^[0-9a-fA-F]{4}$/.test(input.slice(index + 2, index + 6))) {\n repaired += input.slice(index, index + 6)\n index += 5\n continue\n }\n if (next !== undefined && '\"\\\\/bfnrtu'.includes(next)) {\n repaired += `\\\\${next}`\n index++\n continue\n }\n repaired += \"\\\\\\\\\"\n continue\n }\n\n const code = character.charCodeAt(0)\n repaired += code <= 0x1f ? `\\\\u${code.toString(16).padStart(4, \"0\")}` : character\n }\n\n return repaired\n}\n\nconst _parseJSON = (jsonString: string, allow: number) => {\n const length = jsonString.length\n let index = 0\n\n const markPartialJSON = (message: string): never => {\n throw new PartialJSON(`${message} at position ${index}`)\n }\n\n const throwMalformedError = (message: string): never => {\n throw new MalformedJSON(`${message} at position ${index}`)\n }\n\n const parseAny = (): unknown => {\n skipBlank()\n if (index >= length) markPartialJSON(\"Unexpected end of input\")\n if (jsonString[index] === '\"') return parseStr()\n if (jsonString[index] === \"{\") return parseObj()\n if (jsonString[index] === \"[\") return parseArr()\n if (\n jsonString.substring(index, index + 4) === \"null\" ||\n (Allow.NULL & allow && length - index < 4 && \"null\".startsWith(jsonString.substring(index)))\n ) {\n index += 4\n return null\n }\n if (\n jsonString.substring(index, index + 4) === \"true\" ||\n (Allow.BOOL & allow && length - index < 4 && \"true\".startsWith(jsonString.substring(index)))\n ) {\n index += 4\n return true\n }\n if (\n jsonString.substring(index, index + 5) === \"false\" ||\n (Allow.BOOL & allow && length - index < 5 && \"false\".startsWith(jsonString.substring(index)))\n ) {\n index += 5\n return false\n }\n if (\n jsonString.substring(index, index + 8) === \"Infinity\" ||\n (Allow.INFINITY & allow && length - index < 8 && \"Infinity\".startsWith(jsonString.substring(index)))\n ) {\n index += 8\n return Infinity\n }\n if (\n jsonString.substring(index, index + 9) === \"-Infinity\" ||\n (Allow._INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n \"-Infinity\".startsWith(jsonString.substring(index)))\n ) {\n index += 9\n return -Infinity\n }\n if (\n jsonString.substring(index, index + 3) === \"NaN\" ||\n (Allow.NAN & allow && length - index < 3 && \"NaN\".startsWith(jsonString.substring(index)))\n ) {\n index += 3\n return NaN\n }\n return parseNum()\n }\n\n const parseStr = (): string => {\n const start = index\n let escape = false\n index++\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === \"\\\\\"))) {\n escape = jsonString[index] === \"\\\\\" ? !escape : false\n index++\n }\n if (jsonString.charAt(index) === '\"') {\n try {\n return decodeJson(jsonString.substring(start, ++index - Number(escape))) as string\n } catch (error) {\n throwMalformedError(String(error))\n }\n }\n if (Allow.STR & allow) {\n try {\n return decodeJson(`${jsonString.substring(start, index - Number(escape))}\"`) as string\n } catch {\n return decodeJson(`${jsonString.substring(start, jsonString.lastIndexOf(\"\\\\\"))}\"`) as string\n }\n }\n return markPartialJSON(\"Unterminated string literal\")\n }\n\n const parseObj = (): Record<string, unknown> => {\n index++\n skipBlank()\n const object: Record<string, unknown> = {}\n try {\n while (jsonString[index] !== \"}\") {\n skipBlank()\n if (index >= length && Allow.OBJ & allow) return object\n const key = parseStr()\n skipBlank()\n index++\n try {\n Object.defineProperty(object, key, {\n value: parseAny(),\n enumerable: true,\n configurable: true,\n writable: true,\n })\n } catch (error) {\n if (Allow.OBJ & allow) return object\n throw error\n }\n skipBlank()\n if (jsonString[index] === \",\") index++\n }\n } catch {\n if (Allow.OBJ & allow) return object\n return markPartialJSON(\"Expected '}' at end of object\")\n }\n index++\n return object\n }\n\n const parseArr = (): unknown[] => {\n index++\n const array: unknown[] = []\n try {\n while (jsonString[index] !== \"]\") {\n array.push(parseAny())\n skipBlank()\n if (jsonString[index] === \",\") index++\n }\n } catch {\n if (Allow.ARR & allow) return array\n return markPartialJSON(\"Expected ']' at end of array\")\n }\n index++\n return array\n }\n\n const parseNum = (): unknown => {\n if (index === 0) {\n if (jsonString === \"-\") throwMalformedError(\"Not sure what '-' is\")\n try {\n return decodeJson(jsonString)\n } catch (error) {\n if (Allow.NUM & allow) {\n try {\n return decodeJson(jsonString.substring(0, jsonString.lastIndexOf(\"e\")))\n } catch {}\n }\n throwMalformedError(String(error))\n }\n }\n\n const start = index\n if (jsonString[index] === \"-\") index++\n while (jsonString[index] && !\",]}\".includes(jsonString[index])) index++\n if (index === length && !(Allow.NUM & allow)) markPartialJSON(\"Unterminated number literal\")\n\n try {\n return decodeJson(jsonString.substring(start, index))\n } catch (error) {\n if (jsonString.substring(start, index) === \"-\") markPartialJSON(\"Not sure what '-' is\")\n try {\n return decodeJson(jsonString.substring(start, jsonString.lastIndexOf(\"e\")))\n } catch {\n throwMalformedError(String(error))\n }\n }\n }\n\n const skipBlank = () => {\n while (index < length && \" \\n\\r\\t\".includes(jsonString[index])) index++\n }\n\n return parseAny()\n}\n\nexport const parse = parseJSON\n", | ||
| "import { Effect, Option } from \"effect\"\nimport { AIError, LLMEvent, type ProviderMetadata, type ToolCall } from \"../../schema/index.js\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared.js\"\nimport { parse } from \"./partial-json.js\"\n\ntype StreamKey = string | number\nconst parsePartialInput = Option.liftThrowable(parse)\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 input: Option.getOrElse(parsePartialInput(tool.input), () => ({})),\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.catch((error) =>\n tool.providerExecuted\n ? Effect.fail(error)\n : Effect.succeed(\n Option.getOrElse(\n Option.map(parsePartialInput(raw), (input) => input ?? {}),\n () => ({}),\n ),\n ),\n ),\n Effect.map(\n (input): ToolCall =>\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 )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall): ReadonlyArray<LLMEvent> => [\n LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),\n event,\n]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: PendingTool,\n text: string,\n): AppendOutcome<K> => {\n const events: LLMEvent[] = []\n if (!tools[key]) events.push(inputStart(tool))\n if (text.length > 0) events.push(inputDelta(tool, text))\n return {\n tools: withTool(tools, key, tool),\n tool,\n events,\n }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | AIError): result is AIError =>\n result instanceof AIError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n delta: { readonly id?: string; readonly name?: string; readonly text: string },\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n const id = current?.id ?? delta.id\n const name = current?.name ?? delta.name\n if (!id || !name) return eventError(route, missingToolMessage)\n\n const tool = {\n id,\n name,\n input: `${current?.input ?? \"\"}${delta.text}`,\n providerExecuted: current?.providerExecuted,\n providerMetadata: current?.providerMetadata,\n }\n if (current && delta.text.length === 0 && current.id === id && current.name === name)\n return { tools, tool: current, events: [] }\n return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n text: string,\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n if (!current) return eventError(route, missingToolMessage)\n if (text.length === 0) return { tools, tool: current, events: [] }\n return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and recover incomplete local arguments when needed.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool)),\n }\n })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool, input)),\n }\n })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n Effect.gen(function* () {\n const pending = Object.values<PendingTool | undefined>(tools).filter(\n (tool): tool is PendingTool => tool !== undefined,\n )\n return {\n tools: empty<K>(),\n events: yield* Effect.forEach(pending, (tool) =>\n toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n ).pipe(Effect.map((events) => events.flat())),\n }\n })\n\nexport * as ToolStream from \"./tool-stream.js\"\n" | ||
| ], | ||
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| "debugId": "2DAAB90CBA7C145764756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
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| "debugId": "DB86DF9BF8CB154064756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/shared.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { OpenCode, type IntegrationInfo, type IntegrationMethod, type OpenCodeClient } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../../services/server-connection\"\n\nexport const location = { directory: process.cwd() }\n\nexport const createClient = Effect.fn(\"cli.auth.client\")(function* (input: ServerConnection.Args) {\n const server = yield* ServerConnection.resolve(input)\n return OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n})\n\nexport function request<A>(run: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({ try: run, catch: (cause) => cause })\n}\n\nexport const loadIntegrations = Effect.fn(\"cli.auth.integrations\")(function* (client: OpenCodeClient) {\n // The model endpoint is the existing public readiness boundary for the initial plugin generation.\n yield* request((signal) => client.model.default({ location }, { signal }))\n return yield* request((signal) => client.integration.list({ location }, { signal })).pipe(\n Effect.map((response) => response.data),\n )\n})\n\nexport const resolveIntegration = Effect.fn(\"cli.auth.resolve-integration\")(function* (\n integrations: IntegrationInfo[],\n target: string,\n) {\n const normalized = target.replace(/\\/+$/, \"\")\n const byID = integrations.find((integration) => integration.id === normalized)\n if (byID) return byID\n const matches = integrations.filter((integration) => integration.name.toLowerCase() === normalized.toLowerCase())\n if (matches.length === 1) return matches[0]\n if (matches.length > 1) {\n return yield* Effect.fail(\n new Error(\n `Integration name \"${target}\" is ambiguous: ${matches.map((integration) => integration.id).join(\", \")}`,\n ),\n )\n }\n return yield* Effect.fail(new Error(`Integration not found: ${target}`))\n})\n\nexport type ConnectMethod = Exclude<IntegrationMethod, { type: \"env\" }>\n\nexport function connectMethods(integration: IntegrationInfo) {\n return integration.methods\n .filter((method): method is ConnectMethod => method.type !== \"env\")\n .toSorted((a, b) => Number(a.type === \"key\") - Number(b.type === \"key\"))\n}\n\nexport const resolveMethod = Effect.fn(\"cli.auth.resolve-method\")(function* (methods: ConnectMethod[], target: string) {\n const normalized = target.toLowerCase()\n const matches = methods.filter((method) => {\n if (method.type === \"key\") return normalized === \"key\" || method.label?.toLowerCase() === normalized\n return method.id === target || method.label.toLowerCase() === normalized\n })\n if (matches.length === 1) return matches[0]\n if (matches.length > 1) return yield* Effect.fail(new Error(`Authentication method \"${target}\" is ambiguous`))\n const available = methods.map((method) => (method.type === \"key\" ? \"key\" : method.id)).join(\", \")\n return yield* Effect.fail(\n new Error(`Authentication method not found: ${target}${available ? `. Available: ${available}` : \"\"}`),\n )\n})\n" | ||
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| "debugId": "1C3C9B042840F78C64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/openai-image.ts", "../ai/src/protocols/openai-responses.ts", "../ai/src/providers/openai-options.ts"], | ||
| "sourcesContent": [ | ||
| "import { Schema } from \"effect\"\n\nconst dimensions = (value: string) => {\n const match = /^(\\d+)x(\\d+)$/.exec(value)\n if (!match) return undefined\n return { width: Number(match[1]), height: Number(match[2]) }\n}\n\nexport const Size = Schema.String.check(\n Schema.makeFilter((value) => {\n if (value === \"auto\") return undefined\n const parsed = dimensions(value)\n if (!parsed) return \"image size must be `auto` or `{width}x{height}`\"\n return parsed.width > 0 && parsed.height > 0 ? undefined : \"image dimensions must be positive integers\"\n }),\n)\n\nexport const OpenAIImage = {\n Size,\n} as const\n", | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { LLMRequest, type JsonSchema, type ToolDefinition } from \"../schema/index.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { optionalArray, ProviderShared } from \"./shared.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\nimport { ResponsesHostedTools } from \"./utils/responses-hosted-tools.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { OpenResponsesChannel } from \"./open-responses-channel.js\"\n\nconst ADAPTER = \"openai-responses\"\nconst NAME = \"OpenAI Responses\"\nconst WEBSOCKET_PROTOCOL_HEADER = \"responses_websockets=2026-02-06\"\nconst WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = OpenResponses.PATH\n\nconst OpenAIResponsesImageGenerationTool = Schema.Struct({\n type: Schema.tag(\"image_generation\"),\n action: Schema.optional(Schema.Literals([\"auto\", \"generate\", \"edit\"])),\n background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n input_fidelity: Schema.optional(Schema.Literals([\"low\", \"high\"])),\n output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),\n quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n size: Schema.optional(OpenAIImage.Size),\n})\n\nconst OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool])\n\nconst OpenAIResponsesToolChoice = Schema.Union([\n OpenResponses.ToolChoice,\n Schema.Struct({ type: Schema.tag(\"image_generation\") }),\n])\n\nconst OpenAIResponsesCoreFields = {\n ...OpenResponses.coreFields,\n tools: optionalArray(OpenAIResponsesTools),\n tool_choice: Schema.optional(OpenAIResponsesToolChoice),\n}\n\nconst OpenAIResponsesBody = Schema.Struct({\n ...OpenAIResponsesCoreFields,\n stream: Schema.Literal(true),\n})\nexport type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>\n\n// Replayed items are paired with stored server state by id, so a foreign or\n// synthetic token can fail request validation even when `call_id` pairing is\n// intact. Only resend ids in each item kind's own grammar; hosted tool\n// references keep generic validation because every hosted tool mints its own\n// prefix. The same allowlist approach codex uses before resending history\n// (codex-rs core/src/client.rs, `prepare_response_items_for_request`).\nconst ITEM_ID_PREFIXES: Record<OpenResponses.ItemKind, ReadonlyArray<string>> = {\n message: [\"msg_\"],\n reasoning: [\"rs_\"],\n \"function-call\": [\"fc_\"],\n // Every hosted tool mints its own id prefix, so references keep generic\n // validation only.\n reference: [],\n}\n\nconst extension = {\n id: ADAPTER,\n name: NAME,\n acceptsItemID: (kind: OpenResponses.ItemKind, id: string) => {\n const prefixes = ITEM_ID_PREFIXES[kind]\n return prefixes.length === 0 || prefixes.some((prefix) => id.startsWith(prefix))\n },\n} satisfies OpenResponses.Extension\n\nconst nativeImageToolInput = (tool: ToolDefinition) => {\n const native = tool.native?.openai\n return ProviderShared.isRecord(native) && native.type === \"image_generation\" ? native : undefined\n}\n\nconst nativeImageTool = (tool: ToolDefinition) => {\n const native = nativeImageToolInput(tool)\n return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined\n}\n\nconst lowerTool = Effect.fn(\"OpenAIResponses.lowerTool\")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {\n const native = nativeImageToolInput(tool)\n if (native !== undefined) {\n if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native\n return yield* ProviderShared.invalidRequest(\"OpenAI Responses image generation tool options are invalid\")\n }\n return yield* OpenResponses.lowerTool(NAME, tool, inputSchema)\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>, tools: ReadonlyArray<ToolDefinition>) =>\n ProviderShared.matchToolChoice(NAME, toolChoice, {\n auto: () => \"auto\" as const,\n none: () => \"none\" as const,\n required: () => \"required\" as const,\n tool: (name) =>\n tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)\n ? ({ type: \"image_generation\" } as const)\n : { type: \"function\" as const, name },\n })\n\nconst fromRequest = Effect.fn(\"OpenAIResponses.fromRequest\")(function* (request: LLMRequest) {\n const body = yield* OpenResponses.fromRequestWithExtension(\n LLMRequest.update(request, { tools: [], toolChoice: undefined }),\n extension,\n )\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n const parallelToolCalls = OpenResponses.resolveParallelToolCalls(request)\n return {\n ...body,\n ...(parallelToolCalls === undefined ? {} : { parallel_tool_calls: parallelToolCalls }),\n tools:\n request.tools.length === 0\n ? undefined\n : yield* Effect.forEach(request.tools, (tool) =>\n lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n ),\n tool_choice:\n body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined),\n } satisfies OpenAIResponsesBody\n})\n\nconst hostedToolResult = Effect.fn(\"OpenAIResponses.hostedToolResult\")(function* (item: ResponsesHostedTools.Item) {\n const isError = item.error !== undefined && item.error !== null\n if (item.type === \"image_generation_call\" && item.result) {\n yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(\n Effect.mapError(() => ProviderShared.eventError(ADAPTER, \"OpenAI Responses returned invalid image base64\")),\n )\n const format = item.output_format ?? \"png\"\n return {\n type: \"content\" as const,\n value: [\n {\n type: \"file\" as const,\n uri: `data:image/${format};base64,${item.result}`,\n mime: `image/${format}`,\n },\n ],\n }\n }\n return isError ? { type: \"error\" as const, value: item.error } : { type: \"json\" as const, value: item }\n})\n\nconst HOSTED_TOOLS = {\n web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n web_search_preview_call: { name: \"web_search_preview\", input: (item) => item.action ?? {} },\n file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n code_interpreter_call: {\n name: \"code_interpreter\",\n input: (item) => ({ code: item.code, container_id: item.container_id }),\n },\n computer_call: { name: \"computer_use\", input: (item) => item.action ?? {} },\n image_generation_call: { name: \"image_generation\", input: () => ({}), result: hostedToolResult },\n mcp_call: {\n name: \"mcp\",\n input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n },\n} as const satisfies ResponsesHostedTools.Definitions\n\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n if (event.type === \"response.reasoning_text.delta\")\n return event.item_id\n ? Effect.succeed(OpenResponses.onReasoningDelta(state, event, event.item_id))\n : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n if (event.type === \"response.output_item.done\" && event.item && ResponsesHostedTools.isItem(event.item, HOSTED_TOOLS))\n return ResponsesHostedTools.onDone(state, event.item, HOSTED_TOOLS)\n return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: OpenAIResponsesBody,\n from: fromRequest,\n },\n stream: {\n event: OpenResponses.protocol.stream.event,\n initial: (request) => OpenResponses.initial(request, extension),\n step,\n terminal: OpenResponses.terminal,\n },\n})\n\nconst endpoint = Endpoint.path<OpenAIResponsesBody>(PATH, { baseURL: DEFAULT_BASE_URL })\nconst auth = Auth.none\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIResponsesBody>()\nexport const channelTransport = OpenResponsesChannel.transport<OpenAIResponsesBody>\nexport const transport = channelTransport({\n id: ADAPTER,\n name: NAME,\n rotateAfterMs: WEBSOCKET_ROTATE_AFTER_MS,\n headers: (headers) => Headers.set(headers, \"openai-beta\", headers[\"openai-beta\"] ?? WEBSOCKET_PROTOCOL_HEADER),\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"openai\",\n providerMetadataKey: \"openai\",\n protocol,\n endpoint,\n auth,\n transport,\n defaults: { providerOptions: { store: false, include: [\"reasoning.encrypted_content\"] } },\n})\n\nexport * as OpenAIResponses from \"./openai-responses.js\"\n", | ||
| "import { mergeProviderOptions, type ProviderOptions } from \"../schema/index.js\"\nimport type { OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\nimport type { Options } from \"../protocols/utils/open-responses-options.js\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\n\nexport type OpenAIOptionsInput = Omit<Options, \"serviceTier\"> & {\n readonly serviceTier?: OpenAIServiceTier\n readonly [key: string]: unknown\n}\n\nexport type OpenAIProviderOptionsInput = OpenAIOptionsInput\n\nconst definedEntries = (input: Record<string, unknown>) =>\n Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n const result = Object.fromEntries(\n definedEntries({\n store: options?.store,\n reasoningEffort: options?.reasoningEffort,\n reasoningSummary: options?.reasoningSummary,\n include: options?.include,\n textVerbosity: options?.textVerbosity,\n serviceTier: options?.serviceTier,\n }),\n )\n if (Object.keys(result).length === 0) return undefined\n return result\n}\n\nexport const gpt5DefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n const id = modelID.toLowerCase()\n if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n return openAIProviderOptions({\n reasoningEffort: \"medium\",\n reasoningSummary: \"auto\",\n // GPT-5 reasoning models are configured stateless (`store: false`) by\n // `openAIDefaultOptions` below, so the only way a follow-up turn can\n // carry reasoning state is via the encrypted reasoning include. Without\n // this, callers using the default model facade get reasoning summaries\n // they cannot replay statelessly.\n include: [\"reasoning.encrypted_content\"],\n textVerbosity:\n options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n ? \"low\"\n : undefined,\n })\n}\n\nexport const openAIDefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n modelID: string,\n options: Options,\n defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n return {\n ...options,\n providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "A238ACF7D95A234964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/set.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.set,\n Effect.fn(\"cli.service.set\")(function* (input) {\n yield* ServiceConfig.set(input.key, input.value, Option.getOrUndefined(input.nestedValue))\n }),\n)\n" | ||
| ], | ||
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| "debugId": "3A23B20AF7D66E7B64756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/azure.ts"], | ||
| "sourcesContent": [ | ||
| "import { Headers } from \"effect/unstable/http\"\nimport { Auth } from \"../route/auth.js\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"azure\")\nconst routeAuth = Auth.remove(\"authorization\")\nconst RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\n\n// Azure needs the customer's resource URL; supply either `resourceName`\n// (helper builds the URL) or `baseURL` directly.\ntype AzureURL = AtLeastOne<{ readonly resourceName: string; readonly baseURL: string }>\n\nexport type LanguageModelOptions = AzureURL &\n RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly apiVersion?: string\n readonly queryParams?: Record<string, string>\n readonly useDeploymentBasedUrls?: boolean\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\nexport type Config = LanguageModelOptions\n\nexport type Settings = ProviderPackage.Settings &\n AzureURL & {\n readonly apiKey?: string\n readonly apiVersion?: string\n readonly queryParams?: Readonly<Record<string, string>>\n readonly useDeploymentBasedUrls?: boolean\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai`\n\nconst responsesRoute = OpenAIResponses.route.with({\n id: \"azure-openai-responses\",\n provider: id,\n auth: routeAuth,\n transport: OpenAIResponses.channelTransport({\n id: \"azure-openai-responses\",\n name: \"Azure OpenAI Responses\",\n rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,\n enabled: (value) => {\n const url = new URL(value)\n return (\n url.protocol === \"https:\" &&\n url.hostname.endsWith(\".openai.azure.com\") &&\n url.pathname.endsWith(\"/openai/v1/responses\") &&\n url.searchParams.get(\"api-version\") === \"v1\"\n )\n },\n url: (value) => {\n const url = new URL(value)\n url.searchParams.delete(\"api-version\")\n return url.toString()\n },\n headers: (headers) => {\n const apiKey = headers[\"api-key\"]\n if (!apiKey) return headers\n return Headers.remove(Headers.set(headers, \"authorization\", `Bearer ${apiKey}`), \"api-key\")\n },\n }),\n})\n\nconst chatRoute = OpenAIChat.route.with({\n id: \"azure-openai-chat\",\n provider: id,\n auth: routeAuth,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n const {\n apiKey: _,\n apiVersion: _apiVersion,\n resourceName: _resourceName,\n useDeploymentBasedUrls: _useDeploymentBasedUrls,\n baseURL: _baseURL,\n queryParams: _queryParams,\n ...rest\n } = input\n if (\"auth\" in rest) {\n const { auth: _, ...withoutAuth } = rest\n return withoutAuth\n }\n return rest\n}\n\nconst auth = (input: Config) => {\n if (\"auth\" in input && input.auth) return input.auth\n return Auth.remove(\"authorization\").andThen(\n Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n .pipe(Auth.header(\"api-key\")),\n )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config, modelID: string | ModelID) =>\n route.with({\n auth: auth(input),\n endpoint: endpoint(input, modelID),\n })\n\nfunction endpoint(input: Config, modelID: string | ModelID) {\n const baseURL = ProviderShared.trimBaseUrl(input.baseURL ?? resourceBaseURL(input.resourceName!))\n const query = { \"api-version\": input.apiVersion ?? \"v1\", ...input.queryParams }\n\n if (input.useDeploymentBasedUrls) return { baseURL: `${baseURL}/deployments/${modelID}`, query }\n if (input.baseURL !== undefined && !new URL(input.baseURL).hostname.endsWith(\".openai.azure.com\")) {\n return { baseURL, query: input.queryParams }\n }\n return { baseURL: `${baseURL}/v1`, query }\n}\n\nexport const configure = (input: Config) => {\n const modelDefaults = defaults(input)\n\n const responses = (modelID: string | ModelID) =>\n configuredRoute(responsesRoute, input, modelID)\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n const chat = (modelID: string | ModelID) =>\n configuredRoute(chatRoute, input, modelID)\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n return {\n id,\n model: responses,\n responses,\n chat,\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nconst config = (settings: Settings): Config => {\n const common = {\n apiKey: settings.apiKey,\n apiVersion: settings.apiVersion,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n useDeploymentBasedUrls: settings.useDeploymentBasedUrls,\n }\n if (settings.baseURL !== undefined) return { ...common, baseURL: settings.baseURL }\n if (settings.resourceName !== undefined) return { ...common, resourceName: settings.resourceName }\n throw new Error(\"Azure requires resourceName or baseURL\")\n}\n\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).responses(modelID)\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const model = responsesModel\n" | ||
| ], | ||
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| "debugId": "C355FDB90678243C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/bedrock-auth.ts"], | ||
| "sourcesContent": [ | ||
| "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n readonly region: string\n readonly accessKeyId: string\n readonly secretAccessKey: string\n readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n readonly url: string\n readonly body: string\n readonly headers: Headers.Headers\n readonly credentials: Credentials\n readonly service: string\n readonly name: string\n}) =>\n Effect.tryPromise({\n try: async () => {\n const signed = await new AwsV4Signer({\n url: input.url,\n method: \"POST\",\n headers: Object.entries(input.headers),\n body: input.body,\n region: input.credentials.region,\n accessKeyId: input.credentials.accessKeyId,\n secretAccessKey: input.credentials.secretAccessKey,\n sessionToken: input.credentials.sessionToken,\n service: input.service,\n }).sign()\n return Object.fromEntries(signed.headers.entries())\n },\n catch: (error) =>\n ProviderShared.invalidRequest(\n `${input.name} SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n ),\n })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (\n credentials: Credentials | undefined,\n options: { readonly service?: string; readonly name?: string } = {},\n) =>\n Auth.custom((input: AuthInput) => {\n return Effect.gen(function* () {\n if (!credentials) {\n return yield* ProviderShared.invalidRequest(\n `${options.name ?? \"Bedrock Converse\"} requires either route bearer auth or AWS credentials configured on the route`,\n )\n }\n const headersForSigning = Headers.set(input.headers, \"content-type\", \"application/json\")\n const signed = yield* signRequest({\n url: input.url,\n body: input.body,\n headers: headersForSigning,\n credentials,\n service: options.service ?? \"bedrock\",\n name: options.name ?? \"Bedrock Converse\",\n })\n return Headers.setAll(headersForSigning, signed)\n })\n })\n\n/** Bedrock route auth defaults to SigV4 and expects credentials from route configuration. */\nexport const auth = sigV4(undefined)\n\nexport * as BedrockAuth from \"./bedrock-auth.js\"\n" | ||
| ], | ||
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| "debugId": "5D2246CE92F27BD264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/server-process.ts", "src/services/service-registration.ts", "src/services/web-ui.ts", "src/app-assets.ts", "src/commands/handlers/serve.ts"], | ||
| "sourcesContent": [ | ||
| "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions } from \"@opencode-ai/client/effect/service\"\nimport { LayerNode } from \"@opencode-ai/util/effect/layer-node\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"./version\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { randomBytes, randomUUID } from \"node:crypto\"\nimport { Effect, Option, Redacted, Schedule } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { ServiceRegistration } from \"./services/service-registration\"\nimport { Updater } from \"./services/updater\"\nimport { WebUi } from \"./services/web-ui\"\n\nexport type Mode = \"default\" | \"service\" | \"stdio\"\n\nexport type Options = {\n readonly mode: Mode\n readonly hostname?: string\n readonly port?: number\n}\n\n// The process effect lives until server shutdown; tracing it would parent every request to one process-lifetime trace.\nexport const run = Effect.fnUntraced(function* (options: Options) {\n return yield* processEffect(options).pipe(\n Effect.provide(Updater.layer),\n Effect.provide(\n LayerNode.compile(LayerNode.group([Global.node, AppProcess.node]), [\n [\n Global.node,\n Global.layerWith(process.env.OPENCODE_CONFIG_DIR ? { config: process.env.OPENCODE_CONFIG_DIR } : {}),\n ],\n ]),\n ),\n Effect.provide(NodeServices.layer),\n )\n})\n\nconst processEffect = Effect.fnUntraced(function* (options: Options) {\n const global = yield* Global.Service\n if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(global.home))\n return yield* Effect.scoped(\n Effect.gen(function* () {\n const foreground = options.mode === \"default\"\n const serviceOptions = options.mode === \"service\" ? yield* ServiceConfig.options() : undefined\n const config = options.mode === \"service\" ? yield* ServiceConfig.read() : {}\n const hostname = options.hostname ?? config.hostname ?? \"127.0.0.1\"\n const port = options.port ?? config.port ?? (options.mode === \"service\" ? ServiceConfig.defaultPort() : undefined)\n const incumbent =\n serviceOptions !== undefined && port !== undefined\n ? yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })\n : undefined\n if (incumbent !== undefined) return\n const { start } = yield* Effect.promise(() => import(\"@opencode-ai/server/process\"))\n const environmentPassword = yield* Env.password\n // Keep the lease credential out of the environment inherited by tools.\n if (options.mode === \"stdio\") {\n delete process.env.OPENCODE_PASSWORD\n delete process.env.OPENCODE_SERVER_PASSWORD\n }\n const password =\n options.mode === \"service\"\n ? config.password || randomBytes(32).toString(\"base64url\")\n : environmentPassword\n ? Redacted.value(environmentPassword)\n : randomBytes(32).toString(\"base64url\")\n if (!password) return yield* Effect.fail(new Error(\"Missing server password\"))\n const instanceID = randomUUID()\n const transform = yield* WebUi.handler()\n const server = yield* start(\n {\n app: {\n name: process.env.OPENCODE_CLIENT ?? \"cli\",\n version: OPENCODE_VERSION,\n channel: OPENCODE_CHANNEL,\n },\n hostname,\n port,\n password,\n simulation: truthy(process.env.OPENCODE_SIMULATE),\n database: {\n path:\n process.env.OPENCODE_DB ??\n ([\"latest\", \"dev\", \"beta\", \"next\", \"prod\"].includes(OPENCODE_CHANNEL) ||\n process.env.OPENCODE_DISABLE_CHANNEL_DB === \"1\" ||\n process.env.OPENCODE_DISABLE_CHANNEL_DB === \"true\"\n ? \"opencode.db\"\n : `opencode-${OPENCODE_CHANNEL.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.db`),\n },\n models: {\n url: process.env.OPENCODE_MODELS_URL,\n file: process.env.OPENCODE_MODELS_PATH,\n fetch: !truthy(process.env.OPENCODE_DISABLE_MODELS_FETCH),\n },\n config: {\n directory: process.env.OPENCODE_CONFIG_DIR,\n project: !truthy(\n process.env.OPENCODE_CONFIG_PROJECT_DISABLE ?? process.env.OPENCODE_DISABLE_PROJECT_CONFIG,\n ),\n file: process.env.OPENCODE_CONFIG,\n content: process.env.OPENCODE_CONFIG_CONTENT,\n },\n windows: {\n gitbash: process.env.OPENCODE_GIT_BASH_PATH,\n },\n fs: {\n filewatcher: !truthy(process.env.OPENCODE_FILEWATCHER_DISABLE ?? process.env.OPENCODE_DISABLE_FILEWATCHER),\n fff:\n process.env.OPENCODE_DISABLE_FFF === undefined\n ? process.platform !== \"win32\"\n : !truthy(process.env.OPENCODE_DISABLE_FFF),\n },\n },\n serviceOptions === undefined\n ? undefined\n : {\n onListen: (address, shutdown) =>\n Effect.gen(function* () {\n if (!config.password) yield* ServiceConfig.password(password)\n return yield* ServiceRegistration.register({\n address,\n password,\n id: instanceID,\n file: serviceOptions.file,\n shutdown,\n })\n }),\n },\n transform,\n ).pipe(\n Effect.catch((error) => {\n if (serviceOptions === undefined || port === undefined || !addressInUse(error)) return Effect.fail(error)\n return recognizeIncumbent(serviceOptions, hostname, port).pipe(\n Effect.flatMap((found) =>\n found\n ? Effect.void\n : Effect.fail(\n new Error(\n `Managed service port ${port} on ${hostname} is already in use by another process. ` +\n \"Configure another port with `opencode service set port <port>` and start the service again.\",\n { cause: error },\n ),\n ),\n ),\n )\n }),\n )\n if (server === undefined) return\n const url = HttpServer.formatAddress(server.address)\n console.log(options.mode === \"stdio\" ? JSON.stringify({ url }) : `server listening on ${url}`)\n if (foreground && !environmentPassword) console.log(`server password ${password}`)\n const updater = yield* Updater.Service\n yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n return yield* options.mode === \"service\"\n ? server.shutdown\n : options.mode === \"stdio\"\n ? waitForStdinClose()\n : Effect.never\n }).pipe(Effect.annotateLogs({ role: \"server\" })),\n )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n Effect.filterOrFail((value) => value !== undefined),\n Effect.retry(Schedule.spaced(\"100 millis\")),\n Effect.timeoutOption(\"15 seconds\"),\n )\n return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n return `http://${hostname.includes(\":\") ? `[${hostname}]` : hostname}:${port}`\n}\n\nfunction truthy(value?: string) {\n return value === \"1\" || value?.toLowerCase() === \"true\"\n}\n\nfunction addressInUse(error: unknown): boolean {\n if (typeof error !== \"object\" || error === null) return false\n if (\"code\" in error && error.code === \"EADDRINUSE\") return true\n return \"cause\" in error && addressInUse(error.cause)\n}\n\nfunction waitForStdinClose() {\n return Effect.callback<void>((resume) => {\n const close = () => resume(Effect.void)\n process.stdin.once(\"end\", close)\n process.stdin.once(\"close\", close)\n process.stdin.resume()\n if (process.stdin.readableEnded || process.stdin.destroyed) close()\n return Effect.sync(() => {\n process.stdin.off(\"end\", close)\n process.stdin.off(\"close\", close)\n process.stdin.pause()\n })\n })\n}\n", | ||
| "export * as ServiceRegistration from \"./service-registration\"\n\nimport { Service, type Info } from \"@opencode-ai/client/effect/service\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { OPENCODE_VERSION } from \"../version\"\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nexport const register = Effect.fnUntraced(function* (options: {\n readonly address: HttpServer.Address\n readonly password: string\n readonly id: string\n readonly file: string\n readonly shutdown: Effect.Effect<void>\n}) {\n const fs = yield* FileSystem.FileSystem\n const temp = options.file + \".\" + options.id + \".tmp\"\n yield* fs.makeDirectory(path.dirname(options.file), { recursive: true })\n const info = {\n id: options.id,\n version: OPENCODE_VERSION,\n url: HttpServer.formatAddress(options.address),\n pid: process.pid,\n password: options.password,\n }\n const encoded = yield* encodeInfo(info)\n const current = fs.readFileString(options.file).pipe(Effect.flatMap(decodeInfo))\n const owns = (found: Info) =>\n found.id === info.id &&\n found.version === info.version &&\n found.url === info.url &&\n found.pid === info.pid &&\n found.password === info.password\n yield* fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, options.file)))\n yield* current.pipe(\n Effect.catchCause((cause) =>\n Effect.logWarning(\"managed service registration check failed; shutting down\", {\n cause,\n serviceID: options.id,\n servicePID: process.pid,\n registration: options.file,\n }).pipe(Effect.andThen(Effect.failCause(cause))),\n ),\n Effect.tap((found) =>\n owns(found)\n ? Effect.void\n : Effect.logWarning(\"managed service registration replaced; shutting down\", {\n serviceID: options.id,\n servicePID: process.pid,\n registration: options.file,\n observedServiceID: found.id,\n observedServicePID: found.pid,\n observedVersion: found.version,\n observedURL: found.url,\n }),\n ),\n Effect.filterOrFail(owns),\n Effect.repeat(Schedule.spaced(\"5 seconds\")),\n Effect.ignore,\n Effect.andThen(options.shutdown),\n Effect.forkScoped,\n )\n return current.pipe(\n Effect.flatMap((found) => (owns(found) ? fs.remove(options.file) : Effect.void)),\n Effect.ignore,\n )\n})\n", | ||
| "import { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { Effect, FileSystem } from \"effect\"\nimport { HttpServerError, HttpServerRequest, HttpServerResponse } from \"effect/unstable/http\"\nimport { createHash } from \"node:crypto\"\nimport { load, type AssetMap } from \"../app-assets\"\n\nexport const handler = Effect.fn(\"cli.web-ui.handler\")(function* (options?: { readonly assets?: AssetMap }) {\n const fileSystem = yield* FileSystem.FileSystem\n const assets = options?.assets\n ? Effect.succeed(options.assets)\n : yield* Effect.cached(load().pipe(Effect.provideService(FileSystem.FileSystem, fileSystem)))\n return <E, R>(api: Effect.Effect<HttpServerResponse.HttpServerResponse, E, R>) =>\n api.pipe(\n Effect.catchIf(isRouteNotFound, () =>\n HttpServerRequest.HttpServerRequest.pipe(\n Effect.flatMap((request) => {\n const url = new URL(request.url, \"http://localhost\")\n if (url.pathname === \"/api\" || url.pathname.startsWith(\"/api/\"))\n return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n return assets.pipe(Effect.flatMap((files) => serveUI(request, url, files)))\n }),\n ),\n ),\n )\n})\n\nfunction serveUI(request: HttpServerRequest.HttpServerRequest, url: URL, assets: AssetMap) {\n const key = url.pathname.replace(/^\\//, \"\")\n const name = assets[key] !== undefined ? key : \"index.html\"\n const file = assets[name]\n if (!file) return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n if (request.method !== \"GET\" && request.method !== \"HEAD\")\n return Effect.succeed(HttpServerResponse.empty({ status: 405 }))\n const html = name === \"index.html\"\n const revalidate = html || name === \"sw.js\" || name === \"registerSW.js\"\n const headers = {\n \"content-type\": FSUtil.mimeType(name),\n \"cache-control\": revalidate ? \"no-cache\" : \"public, max-age=31536000, immutable\",\n \"content-security-policy\": html\n ? cspForHtml(typeof file === \"string\" ? file : Buffer.from(file).toString())\n : csp(),\n \"x-content-type-options\": \"nosniff\",\n }\n return Effect.succeed(\n request.method === \"HEAD\"\n ? HttpServerResponse.empty({ headers })\n : HttpServerResponse.raw(file, { headers, contentType: headers[\"content-type\"] }),\n )\n}\n\nfunction isRouteNotFound(error: unknown) {\n return error instanceof HttpServerError.HttpServerError && error.reason._tag === \"RouteNotFound\"\n}\n\nfunction csp(hash = \"\") {\n return `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'${hash ? ` 'sha256-${hash}'` : \"\"}; style-src 'self' 'unsafe-inline'; img-src 'self' data: https: blob:; font-src 'self' data:; media-src 'self' data:; connect-src * data: blob:`\n}\n\nfunction cspForHtml(body: string) {\n const match = body.match(\n /<script\\b(?![^>]*\\bsrc\\s*=)[^>]*\\bid=([\"'])oc-theme-preload-script\\1[^>]*>([\\s\\S]*?)<\\/script>/i,\n )\n return csp(match ? createHash(\"sha256\").update(match[2]).digest(\"base64\") : \"\")\n}\n\nexport * as WebUi from \"./web-ui\"\n", | ||
| "import { Effect, FileSystem, Option } from \"effect\"\nimport path from \"node:path\"\nimport { brotliDecompressSync } from \"node:zlib\"\nimport { OPENCODE_LOCAL } from \"./version\"\n\nexport type AssetMap = Readonly<Record<string, string | Uint8Array>>\ntype EncodedAssetMap = Readonly<Record<string, { readonly content: string; readonly encoding: \"utf8\" | \"base64\" }>>\n\nexport const load = Effect.fn(\"cli.app-assets.load\")(function* () {\n const embedded = yield* Effect.tryPromise(() => import(\"virtual:opencode-app-assets\")).pipe(Effect.option)\n if (Option.isSome(embedded) && embedded.value.default.length > 0) return decodeArchive(embedded.value.default)\n if (!OPENCODE_LOCAL) return yield* Effect.fail(new Error(\"Web UI assets are missing from the CLI build\"))\n return decode(yield* sourceAssets())\n})\n\nfunction decodeArchive(archive: string) {\n const body = brotliDecompressSync(Buffer.from(archive, \"base64\")).toString()\n return decode(JSON.parse(body) as EncodedAssetMap)\n}\n\nconst sourceAssets = Effect.fnUntraced(function* () {\n const fs = yield* FileSystem.FileSystem\n const root = path.resolve(import.meta.dirname, \"../../app/dist\")\n const files = yield* fs.readDirectory(root, { recursive: true })\n return Object.fromEntries(\n (yield* Effect.forEach(\n files.filter((file) => !file.endsWith(\".map\")),\n Effect.fnUntraced(function* (file) {\n const target = path.join(root, file)\n if ((yield* fs.stat(target)).type === \"Directory\") return\n const body = Buffer.from(yield* fs.readFile(target))\n const encoding = isText(file) ? \"utf8\" : \"base64\"\n return [file, { encoding, content: body.toString(encoding) }] as const\n }),\n { concurrency: \"unbounded\" },\n )).filter((asset) => asset !== undefined),\n )\n})\n\nfunction decode(assets: EncodedAssetMap): AssetMap {\n return Object.fromEntries(\n Object.entries(assets).map(([key, asset]) => [\n key,\n asset.encoding === \"utf8\" ? asset.content : Buffer.from(asset.content, \"base64\"),\n ]),\n )\n}\n\nfunction isText(file: string) {\n return file === \"_headers\" || /\\.(?:css|html|js|json|svg|txt|webmanifest|xml)$/.test(file)\n}\n", | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n Commands.commands.serve,\n Effect.fnUntraced(function* (input) {\n if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n return yield* ServerProcess.run({\n mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n hostname: Option.getOrUndefined(input.hostname),\n port: Option.getOrUndefined(input.port),\n })\n }),\n)\n" | ||
| ], | ||
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| ||
| "debugId": "F412F225E4B0013B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/run/run.ts", "src/run/noninteractive.ts", "src/run/ui.ts"], | ||
| "sourcesContent": [ | ||
| "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient, type SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { open } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { readStdin } from \"../util/io\"\nimport { ServerConnection } from \"../services/server-connection\"\nimport { parseSessionTargetModel, resolveSessionTarget } from \"../session-target\"\nimport { toolInlineInfo } from \"@opencode-ai/tui/mini/tool\"\nimport { runNonInteractivePrompt } from \"./noninteractive\"\nimport { UI } from \"./ui\"\nimport { Env } from \"../env\"\nimport { errorMessage } from \"../util/error\"\n\nexport type RunCommandInput = {\n server: ServerConnection.Resolved\n message: string[]\n continue?: boolean\n session?: string\n fork?: boolean\n model?: string\n agent?: string\n format: \"default\" | \"json\"\n file: string[]\n title?: string\n thinking?: boolean\n auto?: boolean\n}\n\ntype FilePart = {\n url: string\n filename: string\n mime: string\n}\n\ntype Prepared = {\n directory?: string\n message: string\n files: FilePart[]\n}\n\ntype ExecutionOptions = {\n root?: string\n directory?: string\n useServerDirectory?: boolean\n variant?: string\n attached?: boolean\n compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n constructor(\n message: string,\n readonly sessionID?: string,\n ) {\n super(message)\n }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n const root = options.root ?? process.env.PWD ?? process.cwd()\n const local = localDirectory(root)\n const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n if (!message?.trim()) fail(\"You must provide a message\")\n const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n const prepared = { directory, message, files }\n return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n const client = OpenCode.make({\n baseUrl: endpoint.url,\n headers: Service.headers(endpoint),\n // Bun's default five-minute deadline terminates the event stream used by long-running sessions.\n fetch: ((request: RequestInfo | URL, init?: RequestInit) =>\n fetch(request, { ...init, timeout: false } as BunFetchRequestInit)) as typeof fetch,\n })\n const explicit = parseRunModel(input.model)\n const target = await resolveSessionTarget({\n client,\n location: prepared.directory ? { directory: prepared.directory } : undefined,\n continue: input.continue,\n session: input.session,\n fork: input.fork,\n model: explicit\n ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n : undefined,\n agent: input.agent,\n environment: input.server.service ? Env.session() : undefined,\n prepare: async (next) => {\n const selected =\n next.model ??\n (options.variant\n ? await client.model\n .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n .then((result) => result.data)\n : undefined)\n const model = selected\n ? {\n providerID: selected.providerID,\n id: selected.id,\n variant: options.variant ?? (\"variant\" in selected ? selected.variant : undefined),\n }\n : undefined\n if ((options.variant ?? explicit?.variant) && !model)\n throw new RunTargetError(\"Cannot select a variant before selecting a model\", next.session?.id)\n return { model, agent: next.agent }\n },\n }).catch((error) => {\n if (!(error instanceof RunTargetError)) throw error\n reportRunError(input, error.message, error.sessionID)\n return undefined\n })\n if (!target) return\n const model = target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined\n const variant = target.model?.variant\n if (!target.resume && input.title !== undefined) {\n await client.session.rename({\n sessionID: target.session.id,\n title: input.title || prepared.message.slice(0, 50) + (prepared.message.length > 50 ? \"...\" : \"\"),\n })\n }\n\n await runNonInteractivePrompt({\n client,\n sessionID: target.session.id,\n location: target.location,\n message: prepared.message,\n files: prepared.files,\n agent: target.agent,\n model,\n variant,\n thinking: input.thinking ?? false,\n format: input.format,\n auto: input.auto ?? false,\n attached: options.attached ?? true,\n compatibility: options.compatibility,\n renderTool: (part) => renderTool(part, target.location.directory),\n renderToolError: (part) => renderToolError(part, target.location.directory),\n }).catch((error) => reportRunError(input, errorMessage(error), target.session.id))\n}\n\nexport function mergeInput(message: string | undefined, piped: string | undefined) {\n if (!message) return piped || undefined\n if (!piped) return message\n return message + \"\\n\" + piped\n}\n\nfunction formatMessage(message: string[]) {\n const value = message.map((part) => (part.includes(\" \") ? `\"${part.replace(/\"/g, '\\\\\"')}\"` : part)).join(\" \")\n return value || undefined\n}\n\nfunction localDirectory(root: string) {\n try {\n process.chdir(root)\n return process.cwd()\n } catch {\n fail(`Failed to change directory to ${root}`)\n }\n}\n\nexport function parseRunModel(value?: string) {\n const ref = parseSessionTargetModel(value)\n if (!ref) return\n return {\n model: { providerID: ref.providerID, modelID: ref.id },\n variant: ref.variant,\n }\n}\n\nasync function prepareFile(input: string, directory: string, options: ExecutionOptions): Promise<FilePart> {\n const file = path.resolve(directory, input)\n const handle = await open(file, \"r\").catch(() => fail(`File not found: ${input}`))\n try {\n const stat = await handle.stat()\n if (options.compatibility === \"v1\" && options.attached && stat.isDirectory())\n fail(`Cannot attach local directory without a shared filesystem: ${input}`)\n if (!stat.isFile() || stat.size > ATTACH_FILE_MAX_BYTES)\n fail(`Cannot attach a directory, special file, or file larger than 10 MiB: ${input}`)\n const content = Buffer.alloc(Number(stat.size))\n let offset = 0\n while (offset < content.length) {\n const read = await handle.read(content, offset, content.length - offset, offset)\n if (read.bytesRead === 0) break\n offset += read.bytesRead\n }\n const bytes = content.subarray(0, offset)\n const detected = FSUtil.mimeType(file)\n const text = bytes.toString(\"utf8\")\n const mime =\n detected.startsWith(\"image/\") || detected === \"application/pdf\"\n ? detected\n : !isBinaryContent(bytes) && Buffer.from(text, \"utf8\").equals(bytes)\n ? \"text/plain\"\n : detected\n return {\n url: `data:${mime};base64,${bytes.toString(\"base64\")}`,\n filename: path.basename(file),\n mime,\n }\n } finally {\n await handle.close()\n }\n}\n\nfunction isBinaryContent(bytes: Uint8Array) {\n if (bytes.length === 0) return false\n if (bytes.includes(0)) return true\n return bytes.reduce((count, byte) => count + Number(byte < 9 || (byte > 13 && byte < 32)), 0) / bytes.length > 0.3\n}\n\nasync function renderTool(part: SessionMessageAssistantTool, directory: string) {\n const info = toolInlineInfo(part, directory)\n if (info.mode === \"block\") {\n UI.empty()\n UI.println(UI.Style.TEXT_NORMAL + info.icon, UI.Style.TEXT_NORMAL + info.title)\n if (info.body?.trim()) UI.println(info.body)\n UI.empty()\n return\n }\n UI.println(\n UI.Style.TEXT_NORMAL + info.icon,\n UI.Style.TEXT_NORMAL + info.title,\n info.description ? UI.Style.TEXT_DIM + info.description + UI.Style.TEXT_NORMAL : \"\",\n )\n}\n\nasync function renderToolError(part: SessionMessageAssistantTool, directory: string) {\n const info = toolInlineInfo(part, directory)\n UI.println(UI.Style.TEXT_NORMAL + \"✗\", UI.Style.TEXT_NORMAL + `${info.title} failed`)\n}\n\n/** @internal Used by the V1 command boundary before a Session exists. */\nexport function reportRunError(input: Pick<RunCommandInput, \"format\">, message: string, sessionID?: string) {\n process.exitCode = 1\n if (input.format === \"json\") {\n process.stdout.write(\n JSON.stringify({\n type: \"error\",\n timestamp: Date.now(),\n sessionID: sessionID ?? \"\",\n error: { type: \"unknown\", message },\n }) + \"\\n\",\n )\n return\n }\n UI.error(message)\n}\n\nfunction fail(message: string): never {\n throw new Error(message)\n}\n", | ||
| "import type {\n EventSubscribeOutput,\n JsonValue,\n LocationRef,\n OpenCodeClient,\n SessionMessageAssistantTool,\n SessionMessageInfo,\n ToolContent,\n} from \"@opencode-ai/client/promise\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { EOL } from \"node:os\"\nimport { readFile } from \"node:fs/promises\"\nimport { nonEmptyToolContent, toolOutputText, type MiniToolPart } from \"@opencode-ai/tui/mini/tool\"\nimport { UI } from \"./ui\"\n\ntype Model = {\n providerID: string\n modelID: string\n}\n\ntype File = {\n url: string\n filename: string\n mime: string\n}\n\ntype Input = {\n client: OpenCodeClient\n sessionID: string\n location: LocationRef\n message: string\n files: File[]\n agent?: string\n model?: Model\n variant?: string\n thinking: boolean\n format: \"default\" | \"json\"\n auto: boolean\n /** True when the client is attached to a shared server rather than an exclusive in-process one. */\n attached: boolean\n compatibility?: \"v1\"\n renderTool: (part: SessionMessageAssistantTool) => Promise<void>\n renderToolError: (part: SessionMessageAssistantTool) => Promise<void>\n}\n\ntype StartedPart = {\n id: string\n timestamp: number\n}\n\ntype ToolState = StartedPart & {\n assistantMessageID: string\n tool: string\n input: Record<string, JsonValue>\n raw?: string\n provider?: unknown\n providerState?: SessionMessageAssistantTool[\"providerState\"]\n metadata: Record<string, JsonValue>\n content: ToolContent[]\n}\n\ntype V2Event = EventSubscribeOutput\ntype FormRequest = Extract<V2Event, { type: \"form.created\" }>[\"data\"][\"form\"]\n\n// MCP elicitations are temporarily owned by the \"global\" sentinel instead of a real\n// session. An exclusive local process may treat them as this run's blockers; an\n// attached client must not cancel input that may belong to another session.\nconst GLOBAL_FORM_SESSION_ID = \"global\"\n\nexport async function runNonInteractivePrompt(input: Input) {\n const controller = new AbortController()\n const stream = input.client.event.subscribe({ signal: controller.signal })[Symbol.asyncIterator]()\n const connected = await stream.next()\n if (connected.done) throw new Error(\"Event stream disconnected before prompt admission\")\n\n const messageID = SessionMessage.ID.create()\n const starts = new Map<string, StartedPart>()\n const tools = new Map<string, ToolState>()\n const renderedText = new Map<string, string>()\n const renderedReasoning = new Map<string, string>()\n const renderedTools = new Set<string>()\n let submitted = false\n let promoted = false\n let emittedError = false\n let permissionRejected = false\n let formCancelled = false\n let interrupted = false\n let v1InvalidOutput = false\n let prePromotionError: { message: string; [key: string]: unknown } | undefined\n let finalizing = false\n let admission: AbortController | undefined\n let pendingStep: { timestamp: number; part: Record<string, unknown>; label: string } | undefined\n\n const emit = (type: string, timestamp: number, data: Record<string, unknown>) => {\n if (input.format !== \"json\") return false\n process.stdout.write(JSON.stringify({ type, timestamp, sessionID: input.sessionID, ...data }) + EOL)\n return true\n }\n\n const writeText = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n if (emit(\"text\", timestamp, { part })) return\n const text = part.text.trim()\n if (!text) return\n if (!process.stdout.isTTY) {\n process.stdout.write(text + EOL)\n return\n }\n UI.empty()\n UI.println(text)\n UI.empty()\n }\n\n const writeReasoning = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n if (emit(\"reasoning\", timestamp, { part })) return\n const text = part.text.trim()\n if (!text) return\n const line = `Thinking: ${text}`\n if (!process.stdout.isTTY) return void process.stdout.write(line + EOL)\n UI.empty()\n UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n UI.empty()\n }\n\n const flushStep = () => {\n if (!pendingStep) return\n const value = pendingStep\n pendingStep = undefined\n if (!emit(\"step_start\", value.timestamp, { part: value.part }) && input.format !== \"json\") {\n UI.empty()\n UI.println(value.label)\n UI.empty()\n }\n }\n\n const replyPermission = async (request: { id: string; action: string; resources: ReadonlyArray<string> }) => {\n if (!input.auto) {\n permissionRejected = true\n UI.println(\n UI.Style.TEXT_WARNING_BOLD + \"!\",\n UI.Style.TEXT_NORMAL +\n `permission requested: ${request.action} (${request.resources.join(\", \")}); auto-rejecting`,\n )\n }\n await input.client.permission\n .reply({\n sessionID: input.sessionID,\n requestID: request.id,\n reply: input.auto ? \"once\" : \"reject\",\n })\n .catch(() => {})\n if (!input.auto) {\n await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n }\n\n const cancelForm = async (request: Pick<FormRequest, \"id\" | \"sessionID\">) => {\n try {\n await input.client.form.cancel(\n { sessionID: request.sessionID, formID: request.id },\n ...formRequestOptions(request.sessionID === GLOBAL_FORM_SESSION_ID ? input.location : undefined),\n )\n } catch (error) {\n if (!formAlreadySettled(error)) throw error\n }\n formCancelled = true\n }\n\n const consume = async () => {\n while (!controller.signal.aborted) {\n const next = await stream.next().catch((error) => {\n if (!emittedError) throw error\n return { done: true as const, value: undefined }\n })\n if (next.done) {\n if (emittedError) return\n throw new Error(\"Event stream disconnected during prompt execution\")\n }\n const event = next.value\n\n if (event.type === \"permission.asked\" && submitted && event.data.sessionID === input.sessionID) {\n await replyPermission(event.data)\n continue\n }\n if (\n event.type === \"form.created\" &&\n submitted &&\n (event.data.form.sessionID === input.sessionID ||\n (!input.attached &&\n event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n sameLocation(event.location, input.location)))\n ) {\n await cancelForm(event.data.form)\n continue\n }\n if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n const time = toMillis(\"created\" in event ? event.created : undefined)\n\n if (event.type === \"session.inbox.delivered\") {\n if (event.data.inboxID === messageID) {\n promoted = true\n prePromotionError = undefined\n continue\n }\n }\n if (\n event.type === \"session.execution.interrupted\" &&\n event.data.reason === \"user\" &&\n (interrupted || permissionRejected || formCancelled)\n ) {\n return\n }\n if (!promoted && event.type === \"session.execution.failed\") {\n prePromotionError = event.data.error\n if (finalizing) return\n continue\n }\n if (\n !promoted &&\n finalizing &&\n (event.type === \"session.execution.succeeded\" || event.type === \"session.execution.interrupted\")\n )\n return\n if (!promoted) continue\n if (finalizing && !event.type.startsWith(\"session.execution.\")) continue\n\n if (event.type === \"session.step.started\") {\n const part = {\n id: partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"step-start\",\n snapshot: event.data.snapshot,\n }\n if (input.compatibility === \"v1\") {\n pendingStep = {\n timestamp: time,\n part,\n label: `> ${event.data.agent} · ${event.data.model.id}`,\n }\n continue\n }\n if (!emit(\"step_start\", time, { part }) && input.format !== \"json\") {\n UI.empty()\n UI.println(`> ${event.data.agent} · ${event.data.model.id}`)\n UI.empty()\n }\n continue\n }\n\n if (event.type === \"session.text.started\") {\n flushStep()\n starts.set(`text\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n id: partID(event.id),\n timestamp: time,\n })\n continue\n }\n if (event.type === \"session.text.ended\") {\n const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n const started = starts.get(`text\\u0000${key}`)\n starts.delete(`text\\u0000${key}`)\n const part = {\n id: started?.id ?? partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"text\",\n text: event.data.text,\n time: { start: started?.timestamp ?? time, end: time },\n }\n renderedText.set(key, event.data.text)\n writeText(part, time)\n continue\n }\n\n if (event.type === \"session.reasoning.started\") {\n flushStep()\n starts.set(`reasoning\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n id: partID(event.id),\n timestamp: time,\n })\n continue\n }\n if (event.type === \"session.reasoning.ended\" && input.thinking) {\n const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n const started = starts.get(`reasoning\\u0000${key}`)\n starts.delete(`reasoning\\u0000${key}`)\n const part = {\n id: started?.id ?? partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"reasoning\",\n text: event.data.text,\n metadata: event.data.state,\n time: { start: started?.timestamp ?? time, end: time },\n }\n renderedReasoning.set(key, event.data.text)\n writeReasoning(part, time)\n continue\n }\n\n if (event.type === \"session.tool.input.started\") {\n flushStep()\n tools.set(toolKey(event.data.assistantMessageID, event.data.id), {\n id: partID(event.id),\n timestamp: time,\n assistantMessageID: event.data.assistantMessageID,\n tool: event.data.name,\n input: {},\n metadata: {},\n content: [],\n })\n continue\n }\n if (event.type === \"session.tool.input.ended\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) current.raw = event.data.text\n continue\n }\n if (event.type === \"session.tool.input.delta\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n continue\n }\n if (event.type === \"session.tool.called\") {\n flushStep()\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key)\n tools.set(key, {\n id: current?.id ?? partID(event.id),\n timestamp: current?.timestamp ?? time,\n assistantMessageID: event.data.assistantMessageID,\n tool: current?.tool ?? \"tool\",\n input: event.data.input,\n raw: current?.raw,\n provider: { executed: event.data.executed, state: event.data.state },\n providerState: event.data.state,\n metadata: {},\n content: [],\n })\n continue\n }\n if (event.type === \"session.tool.progress\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) {\n current.metadata = event.data.metadata\n }\n continue\n }\n if (event.type === \"session.tool.success\") {\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key) ?? fallbackTool(event)\n const tool: SessionMessageAssistantTool = {\n type: \"tool\",\n id: event.data.id,\n name: current.tool,\n executed: event.data.executed,\n providerState: current.providerState,\n providerResultState: event.data.resultState,\n state: {\n status: \"completed\",\n input: current.input,\n metadata: event.data.metadata,\n content: event.data.content,\n },\n time: { created: current.timestamp, ran: current.timestamp, completed: time },\n }\n const part: MiniToolPart = {\n partID: current.id,\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"tool\",\n id: event.data.id,\n tool: current.tool,\n state: {\n status: \"completed\",\n input: current.input,\n output: toolOutputText(current.tool, event.data.content),\n title: current.tool,\n metadata: {\n metadata: event.data.metadata,\n content: event.data.content,\n providerCall: current.provider,\n providerResult: { executed: event.data.executed, state: event.data.resultState },\n rawInput: current.raw,\n },\n time: { start: current.timestamp, end: time },\n },\n }\n tools.delete(key)\n renderedTools.add(key)\n if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n continue\n }\n if (event.type === \"session.tool.failed\") {\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key) ?? fallbackTool(event)\n const error = event.data.error.message\n const metadata = event.data.metadata ?? current.metadata\n const content = event.data.content ?? nonEmptyToolContent(current.content)\n const tool: SessionMessageAssistantTool = {\n type: \"tool\",\n id: event.data.id,\n name: current.tool,\n executed: event.data.executed,\n providerState: current.providerState,\n providerResultState: event.data.resultState,\n state: {\n status: \"error\",\n input: current.input,\n metadata,\n content,\n error: event.data.error,\n },\n time: { created: current.timestamp, ran: current.timestamp, completed: time },\n }\n const part: MiniToolPart = {\n partID: current.id,\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"tool\",\n id: event.data.id,\n tool: current.tool,\n state: {\n status: \"error\",\n input: current.input,\n error,\n metadata: {\n providerCall: current.provider,\n providerResult: { executed: event.data.executed, state: event.data.resultState },\n rawInput: current.raw,\n },\n time: { start: current.timestamp, end: time },\n },\n }\n tools.delete(key)\n renderedTools.add(key)\n if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n if (!emit(\"tool_use\", time, { part })) {\n if (content && toolOutputText(current.tool, content).trim())\n await input.renderTool({\n ...tool,\n state: {\n status: \"completed\",\n input: current.input,\n metadata,\n content,\n },\n })\n await input.renderToolError(tool)\n UI.error(error)\n }\n continue\n }\n\n if (event.type === \"session.step.ended\") {\n flushStep()\n const part = {\n id: partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"step-finish\",\n reason: event.data.finish,\n snapshot: event.data.snapshot,\n cost: event.data.cost,\n tokens: event.data.tokens,\n }\n emit(\"step_finish\", time, { part })\n continue\n }\n if (event.type === \"session.step.failed\") {\n if (input.compatibility === \"v1\" && event.data.error.message === \"The provider response ended unexpectedly.\") {\n pendingStep = undefined\n v1InvalidOutput = true\n continue\n }\n if (interrupted || permissionRejected || formCancelled) continue\n flushStep()\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n continue\n }\n if (event.type === \"session.execution.failed\") {\n if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n flushStep()\n if (!emittedError && !formCancelled) {\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n }\n return\n }\n if (event.type === \"session.execution.interrupted\") {\n if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n if (event.data.reason !== \"user\" && !emittedError) {\n emittedError = true\n process.exitCode = 1\n const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n if (!emit(\"error\", time, { error })) UI.error(error.message)\n }\n return\n }\n if (event.type === \"session.execution.succeeded\") return\n }\n }\n\n const projectedMessages = async () => {\n const messages: SessionMessageInfo[] = []\n let cursor: string | undefined\n while (true) {\n const page = await input.client.message.list(\n cursor\n ? { sessionID: input.sessionID, limit: 200, cursor }\n : { sessionID: input.sessionID, limit: 200, order: \"desc\" },\n )\n for (const message of page.data) {\n if (message.id === messageID) return { found: true, messages: messages.toReversed() }\n messages.push(message)\n }\n cursor = page.cursor.next ?? undefined\n if (!cursor) return { found: false, messages: [] }\n }\n }\n\n const reconcile = async () => {\n const projected = await projectedMessages()\n for (const message of projected.messages) {\n if (message.type !== \"assistant\") continue\n const timestamp = message.time.completed ?? message.time.created\n let textOrdinal = 0\n let reasoningOrdinal = 0\n for (const item of message.content) {\n if (item.type === \"text\") {\n const ordinal = textOrdinal++\n const key = contentKey(message.id, ordinal)\n const rendered = renderedText.get(key) ?? \"\"\n if (rendered === item.text || !item.text.startsWith(rendered)) continue\n const text = item.text.slice(rendered.length)\n writeText(\n {\n id: projectedPartID(message.id, `text-${ordinal}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"text\",\n text,\n time: { start: message.time.created, end: timestamp },\n },\n timestamp,\n )\n renderedText.set(key, item.text)\n continue\n }\n if (item.type === \"reasoning\") {\n const ordinal = reasoningOrdinal++\n if (!input.thinking) continue\n const key = contentKey(message.id, ordinal)\n const rendered = renderedReasoning.get(key) ?? \"\"\n if (rendered === item.text || !item.text.startsWith(rendered)) continue\n const text = item.text.slice(rendered.length)\n const part = {\n id: projectedPartID(message.id, `reasoning-${ordinal}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"reasoning\",\n text,\n metadata: item.state,\n time: { start: message.time.created, end: timestamp },\n }\n renderedReasoning.set(key, item.text)\n writeReasoning(part, timestamp)\n continue\n }\n\n const key = toolKey(message.id, item.id)\n if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n const part: MiniToolPart = {\n partID: projectedPartID(message.id, `tool-${item.id}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"tool\",\n id: item.id,\n tool: item.name,\n state:\n item.state.status === \"completed\"\n ? {\n status: \"completed\",\n input: item.state.input,\n output: toolOutputText(item.name, item.state.content),\n title: item.name,\n metadata: { metadata: item.state.metadata, content: item.state.content },\n time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n }\n : {\n status: \"error\",\n input: item.state.input,\n error: item.state.error.message,\n metadata: { metadata: item.state.metadata, content: item.state.content },\n time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n },\n }\n renderedTools.add(key)\n if (emit(\"tool_use\", timestamp, { part })) continue\n if (item.state.status === \"completed\") {\n await input.renderTool(item)\n continue\n }\n if (item.state.content && toolOutputText(item.name, item.state.content).trim()) {\n await input.renderTool({\n ...item,\n state: {\n status: \"completed\",\n input: item.state.input,\n metadata: item.state.metadata,\n content: item.state.content,\n },\n })\n }\n await input.renderToolError(item)\n UI.error(item.state.error.message)\n }\n\n if (message.error && !emittedError) {\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", timestamp, { error: message.error })) UI.error(message.error.message)\n }\n }\n return {\n found: projected.found,\n responded: projected.messages.some((message) => message.type === \"assistant\"),\n }\n }\n\n const interrupt = () => {\n if (interrupted) process.exit(130)\n interrupted = true\n process.exitCode = 130\n admission?.abort()\n void input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n process.on(\"SIGINT\", interrupt)\n\n let completed: Promise<void> | undefined\n try {\n if (input.agent) {\n await input.client.session.switchAgent({ sessionID: input.sessionID, agent: input.agent })\n }\n const selected = input.model\n ? { providerID: input.model.providerID, id: input.model.modelID, variant: input.variant }\n : input.variant\n ? await input.client.session\n .get({ sessionID: input.sessionID })\n .then((result) => result.model)\n .then(async (model) => {\n if (model) return { ...model, variant: input.variant }\n const result = await input.client.model.default()\n const fallback = result.data\n return fallback ? { providerID: fallback.providerID, id: fallback.id, variant: input.variant } : undefined\n })\n : undefined\n if (input.variant && !selected) throw new Error(\"Cannot select a variant before selecting a model\")\n if (selected) {\n await input.client.session.switchModel({ sessionID: input.sessionID, model: selected })\n }\n\n const prepared = await Promise.all(input.files.map(prepareFile))\n if (interrupted) return\n submitted = true\n completed = consume()\n admission = new AbortController()\n const response = await input.client.session\n .prompt(\n {\n sessionID: input.sessionID,\n id: messageID,\n text: [input.message, ...prepared.flatMap((file) => (file.text ? [file.text] : []))].join(\"\\n\\n\"),\n files: prepared.flatMap((file) => (file.attachment ? [file.attachment] : [])),\n delivery: \"steer\",\n },\n { signal: admission.signal },\n )\n .catch(async (error) => {\n if (interrupted) {\n await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n controller.abort()\n await completed?.catch(() => {})\n if (interrupted || emittedError) return undefined\n throw error\n })\n admission = undefined\n if (!response) return\n if (interrupted) await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n\n const [permissions, forms, globals] = await Promise.all([\n input.client.permission.list({ sessionID: input.sessionID }).catch(() => undefined),\n input.client.form.list({ sessionID: input.sessionID }).catch(() => undefined),\n input.attached\n ? Promise.resolve(undefined)\n : input.client.form.request\n .list({\n location: { directory: input.location.directory, workspace: input.location.workspaceID },\n })\n .catch(() => undefined),\n ])\n await Promise.all([\n ...(permissions ?? []).map(replyPermission),\n ...(forms ?? []).map(cancelForm),\n ...(globals && sameLocation(globals.location, input.location)\n ? globals.data.filter((form) => form.sessionID === GLOBAL_FORM_SESSION_ID).map(cancelForm)\n : []),\n ])\n if (input.compatibility === \"v1\") {\n await completed\n return\n }\n\n const waiting = input.client.session.wait({ sessionID: input.sessionID })\n await Promise.race([waiting, completed.then(() => waiting)])\n finalizing = true\n const projected = await reconcile()\n if (\n !projected.responded &&\n !interrupted &&\n !permissionRejected &&\n !formCancelled &&\n !emittedError &&\n !prePromotionError\n ) {\n await completed\n }\n if (!projected.found && !interrupted && !permissionRejected && !formCancelled && !emittedError) {\n const error = prePromotionError ?? { type: \"unknown\", message: \"Prompt was not promoted\" }\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", Date.now(), { error })) UI.error(error.message)\n }\n } finally {\n process.off(\"SIGINT\", interrupt)\n controller.abort()\n if (input.compatibility === \"v1\") await stream.return?.(undefined).catch(() => {})\n else void stream.return?.(undefined).catch(() => {})\n }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n if (!location) return []\n return [\n {\n headers: {\n \"x-opencode-directory\": encodeURIComponent(location.directory),\n ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n },\n },\n ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, id: string) {\n return `${messageID}\\u0000${id}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n id: string\n created: number\n data: { assistantMessageID: string; id: string }\n}): ToolState {\n return {\n id: partID(event.id),\n timestamp: toMillis(event.created),\n assistantMessageID: event.data.assistantMessageID,\n tool: \"tool\",\n input: {},\n metadata: {},\n content: [],\n }\n}\n\nfunction toMillis(value: unknown) {\n if (typeof value === \"number\") return value\n if (typeof value === \"string\") return new Date(value).getTime()\n return Date.now()\n}\n\nasync function prepareFile(file: File) {\n if (file.mime !== \"text/plain\") {\n const uri = file.url.startsWith(\"data:\")\n ? file.url\n : `data:${file.mime};base64,${(await readFile(new URL(file.url))).toString(\"base64\")}`\n return { attachment: { uri, name: file.filename } }\n }\n const content = file.url.startsWith(\"data:\")\n ? Buffer.from(file.url.slice(file.url.indexOf(\",\") + 1), \"base64\").toString(\"utf8\")\n : await readFile(new URL(file.url), \"utf8\")\n return { text: `<file name=\"${file.filename}\">\\n${content}\\n</file>` }\n}\n", | ||
| "import { EOL } from \"node:os\"\n\nexport const Style = {\n TEXT_DIM: \"\\x1b[90m\",\n TEXT_NORMAL: \"\\x1b[0m\",\n TEXT_WARNING_BOLD: \"\\x1b[93m\\x1b[1m\",\n TEXT_DANGER_BOLD: \"\\x1b[91m\\x1b[1m\",\n}\n\nexport function println(...message: string[]) {\n process.stderr.write(message.join(\" \") + EOL)\n}\n\nlet blank = false\n\nexport function empty() {\n if (blank) return\n println(Style.TEXT_NORMAL)\n blank = true\n}\n\nexport function error(message: string) {\n if (message.startsWith(\"Error: \")) message = message.slice(\"Error: \".length)\n println(Style.TEXT_DANGER_BOLD + \"Error: \" + Style.TEXT_NORMAL + message)\n}\n\nexport * as UI from \"./ui\"\n" | ||
| ], | ||
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| "debugId": "B1BDBADAC80EDE5464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
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| "mappings": "", | ||
| "debugId": "873EF8E56B384AEE64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderID, type LLMRequest, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport interface GeminiOptionsInput extends Gemini.OptionsInput {\n readonly labels?: Readonly<Record<string, string>>\n}\n\nexport type GeminiProviderOptionsInput = GeminiOptionsInput\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.ApiKeyOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: GeminiProviderOptionsInput\n }\n\nexport type Settings = ProviderPackage.Settings &\n (\n | { readonly accessToken?: string; readonly apiKey?: never }\n | { readonly accessToken?: never; readonly apiKey?: string }\n ) & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: GeminiProviderOptionsInput\n }\n\nconst fromRequest = Effect.fn(\"GoogleVertex.fromRequest\")(function* (request: LLMRequest) {\n const body = yield* Gemini.protocol.body.from(request)\n // Vertex's native REST schema rejects `id` on FunctionCall/FunctionResponse parts with HTTP 400,\n // unlike AI Studio, so history minted there cannot be lowered verbatim.\n const contents = body.contents.map((content) => ({\n ...content,\n parts: (content.parts ?? []).map((part) => {\n if (\"functionCall\" in part) return { ...part, functionCall: { ...part.functionCall, id: undefined } }\n if (\"functionResponse\" in part) return { ...part, functionResponse: { ...part.functionResponse, id: undefined } }\n return part\n }),\n }))\n const value = request.providerOptions?.labels\n const labels = ProviderShared.isRecord(value)\n ? Object.fromEntries(\n Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === \"string\"),\n )\n : undefined\n return { ...body, contents, labels }\n})\n\nconst protocol = {\n ...Gemini.protocol,\n body: {\n ...Gemini.protocol.body,\n from: fromRequest,\n },\n}\n\nconst route = Route.make({\n id: \"google-vertex-gemini\",\n provider: id,\n providerMetadataKey: \"google\",\n protocol,\n endpoint: Endpoint.path(({ request }) => {\n const model = String(request.model.id)\n return `/${model.startsWith(\"endpoints/\") ? model : `models/${model}`}:streamGenerateContent?alt=sse`\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config, modelID: string | ModelID) => {\n const {\n accessToken: _accessToken,\n apiKey: _apiKey,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const apiKey = GoogleVertexShared.apiKey(input)\n const endpointModel = String(modelID).startsWith(\"endpoints/\")\n if (apiKey !== undefined && endpointModel)\n throw new Error(\"Google Vertex tuned models do not support Express Mode API keys\")\n const location = GoogleVertexShared.location(inputLocation, \"us-central1\")\n const project = GoogleVertexShared.project(inputProject)\n const endpoint =\n baseURL ??\n (apiKey\n ? \"https://aiplatform.googleapis.com/v1/publishers/google\"\n : `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? \"\" : \"/publishers/google\"}`)\n return route.with({\n ...rest,\n endpoint: { baseURL: endpoint },\n auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header(\"x-goog-api-key\", apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n return {\n id,\n model: (modelID: string | ModelID) =>\n configuredRoute(input, modelID).model<GeminiProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\nexport const model: ProviderPackage.Definition<Settings, GeminiProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n if (settings.apiKey !== undefined && settings.accessToken !== undefined)\n throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n return configure({\n ...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { apiKey: settings.apiKey }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "7A6ADAD14530D02864756E2164756E21", | ||
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| { | ||
| "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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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openai-compatible.ts"], | ||
| "sourcesContent": [ | ||
| "import { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"openai-compatible\")\n\ntype GenericModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly provider?: string\n readonly baseURL: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL: string\n readonly provider?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nexport type FamilyModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport const routes = [OpenAICompatibleChat.route]\n\nexport const configure = (input: GenericModelOptions) => {\n const provider = input.provider ?? \"openai-compatible\"\n const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n const route = OpenAICompatibleChat.route.with({\n ...rest,\n provider,\n endpoint: { baseURL },\n auth: AuthOptions.bearer(input, []),\n })\n return {\n id: ProviderID.make(provider),\n model: (modelID: string | ModelID) =>\n route.model<OpenAIProviderOptionsInput>({ id: modelID, provider: ProviderID.make(provider) }),\n configure,\n }\n}\n\nconst define = (profile: OpenAICompatibleProfile) => {\n const configureProfile = (input: FamilyModelOptions = {}) => {\n const facade = configure({\n ...input,\n baseURL: input.baseURL ?? profile.baseURL,\n provider: profile.provider,\n })\n return {\n id: ProviderID.make(profile.provider),\n model: facade.model,\n configure: configureProfile,\n }\n }\n return configureProfile()\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n provider: settings.provider,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n\nexport const baseten = define(profiles.baseten)\nexport const cerebras = define(profiles.cerebras)\nexport const deepinfra = define(profiles.deepinfra)\nexport const deepseek = define(profiles.deepseek)\nexport const fireworks = define(profiles.fireworks)\nexport const groq = define(profiles.groq)\nexport const togetherai = define(profiles.togetherai)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/open-responses-continuation.ts", "../ai/src/protocols/open-responses-channel.ts", "../ai/src/protocols/utils/responses-hosted-tools.ts"], | ||
| "sourcesContent": [ | ||
| "import { AIError, TransportReason } from \"../schema/index.js\"\nimport type { ChannelCheckpoint, ChannelObservation, WebSocketChannelDriver } from \"../route/transport/index.js\"\nimport { Effect, Option, Schema } from \"effect\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst PROTOCOL = \"open-responses.websocket.v1\"\nconst VERSION = 1\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\ninterface CheckpointValue {\n readonly version: typeof VERSION\n readonly responseID: string\n readonly request: Readonly<Record<string, unknown>>\n readonly output: ReadonlyArray<unknown>\n}\n\nexport interface DriverInput {\n readonly id: string\n readonly name: string\n readonly request: Readonly<Record<string, unknown>>\n readonly message: string\n readonly base: WebSocketChannelDriver\n}\n\nconst checkpointValue = (checkpoint: ChannelCheckpoint | undefined): CheckpointValue | undefined => {\n if (checkpoint?.protocol !== PROTOCOL || !ProviderShared.isRecord(checkpoint.value)) return undefined\n if (checkpoint.value.version !== VERSION) return undefined\n if (typeof checkpoint.value.responseID !== \"string\" || checkpoint.value.responseID.trim().length === 0)\n return undefined\n if (!ProviderShared.isRecord(checkpoint.value.request) || !Array.isArray(checkpoint.value.output)) return undefined\n return {\n version: VERSION,\n responseID: checkpoint.value.responseID,\n request: checkpoint.value.request,\n output: checkpoint.value.output,\n }\n}\n\nconst canonical = (value: unknown): string => {\n if (value === undefined) return \"undefined\"\n if (Array.isArray(value)) return `[${value.map(canonical).join(\",\")}]`\n if (!ProviderShared.isRecord(value)) return ProviderShared.encodeJson(value)\n return `{${Object.keys(value)\n .sort()\n .map((key) => `${ProviderShared.encodeJson(key)}:${canonical(value[key])}`)\n .join(\",\")}}`\n}\n\nconst json = (value: unknown) => {\n if (typeof value !== \"string\") return value\n return Option.getOrElse(Schema.decodeUnknownOption(ProviderShared.Json)(value), () => value)\n}\n\nconst comparable = (value: unknown) => {\n if (!ProviderShared.isRecord(value)) return value\n if (value.type === \"message\" && value.role === \"assistant\")\n return {\n role: \"assistant\",\n content: value.content,\n ...(value.phase === undefined ? {} : { phase: value.phase }),\n }\n if (value.type === \"function_call\")\n return {\n type: value.type,\n call_id: value.call_id,\n name: value.name,\n arguments: json(value.arguments),\n }\n if (value.type === \"reasoning\")\n return {\n type: value.type,\n summary: value.summary,\n encrypted_content: value.encrypted_content,\n }\n return value\n}\n\nconst invariant = (request: Readonly<Record<string, unknown>>) => {\n const { type: _type, input: _input, previous_response_id: _previousResponseID, ...rest } = request\n return rest\n}\n\nconst incremental = (\n request: Readonly<Record<string, unknown>>,\n checkpoint: CheckpointValue,\n): ReadonlyArray<unknown> | undefined => {\n const input = request.input\n const previousInput = checkpoint.request.input\n if (!Array.isArray(input) || !Array.isArray(previousInput)) return undefined\n if (canonical(invariant(request)) !== canonical(invariant(checkpoint.request))) return undefined\n const baseline = [...previousInput, ...checkpoint.output]\n if (input.length <= baseline.length) return undefined\n if (!baseline.every((item, index) => canonical(comparable(item)) === canonical(comparable(input[index]))))\n return undefined\n return input.slice(baseline.length)\n}\n\nconst code = (event: OpenResponses.Event) => event.code || event.error?.code || event.response?.error?.code || undefined\n\nconst rejected = (\n input: DriverInput,\n observation: Extract<ChannelObservation, { readonly type: \"provider-failure\" }>,\n recovery: \"retry-full\" | \"rotate-and-retry-full\",\n): ChannelObservation => ({\n type: \"rejected\",\n recovery,\n error: new AIError({\n module: input.id,\n method: \"stream\",\n reason: new TransportReason({\n message: observation.error.message,\n transport: \"websocket\",\n operation: \"read\",\n phase: \"receive\",\n delivery: \"rejected\",\n recovery,\n }),\n }),\n})\n\nexport const driver = (input: DriverInput): WebSocketChannelDriver => {\n const { previous_response_id: _previousResponseID, ...request } = input.request\n let output: unknown[] = []\n return {\n create: (checkpoint) =>\n Effect.sync(() => {\n output = []\n const previous = checkpointValue(checkpoint)\n const delta = previous ? incremental(request, previous) : undefined\n if (!previous || !delta) return { message: ProviderShared.encodeJson(request), mode: \"full\" as const }\n return {\n message: ProviderShared.encodeJson({ ...request, input: delta, previous_response_id: previous.responseID }),\n mode: \"incremental\" as const,\n }\n }),\n observe: (create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() => ProviderShared.eventError(input.id, `Invalid ${input.name} WebSocket event`, frame)),\n )\n const observation = yield* input.base.observe(create, frame)\n if (event.type === \"response.output_item.done\" && event.item) output.push(event.item)\n if (observation.type === \"provider-failure\") {\n const rejection = code(event)\n if (rejection === \"previous_response_not_found\") return rejected(input, observation, \"retry-full\")\n if (rejection === \"websocket_connection_limit_reached\")\n return rejected(input, observation, \"rotate-and-retry-full\")\n }\n if (observation.type !== \"completed\") return observation\n const responseID = event.response?.id\n if (!responseID || responseID.trim().length === 0) return observation\n return {\n ...observation,\n checkpoint: {\n protocol: PROTOCOL,\n value: { version: VERSION, responseID, request, output: output.slice() } satisfies CheckpointValue,\n },\n }\n }),\n }\n}\n\nexport const OpenResponsesContinuation = { driver } as const\n", | ||
| "import { Effect, Schema, Stream } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Framing } from \"../route/framing.js\"\nimport {\n HttpTransport,\n WebSocketTransport,\n type Transport,\n type WebSocketChannelDriver,\n type WebSocketChannelExchange,\n} from \"../route/transport/index.js\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { OpenResponsesContinuation } from \"./open-responses-continuation.js\"\n\nconst WebSocketResponseCreate = Schema.StructWithRest(Schema.Struct({ type: Schema.tag(\"response.create\") }), [\n Schema.Record(Schema.String, Schema.Unknown),\n])\nconst decodeMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(WebSocketResponseCreate))\nconst encodeMessage = Schema.encodeSync(Schema.fromJsonString(WebSocketResponseCreate))\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\nexport interface Options {\n readonly id: string\n readonly name: string\n readonly rotateAfterMs?: number\n readonly enabled?: (url: string) => boolean\n readonly url?: (url: string) => string\n readonly headers?: (headers: Headers.Headers) => Headers.Headers\n}\n\nexport interface Prepared {\n readonly http: HttpTransport.HttpPrepared<string>\n readonly channel?: {\n readonly url: string\n readonly headers: Headers.Headers\n readonly rotateAfterMs?: number\n readonly driver: WebSocketChannelDriver\n }\n}\n\nconst message = (body: unknown) =>\n Effect.gen(function* () {\n if (!ProviderShared.isRecord(body))\n return yield* ProviderShared.invalidRequest(\"Open Responses WebSocket body must be a JSON object\")\n const { stream: _stream, stream_options: _streamOptions, background: _background, ...request } = body\n const decoded = yield* decodeMessage({ ...request, type: \"response.create\" })\n return { request: decoded, message: encodeMessage(decoded) }\n })\n\nconst driver = (options: Options, body: string): WebSocketChannelDriver => {\n let responseID: string | undefined\n let terminal = false\n return {\n create: () =>\n Effect.sync(() => {\n responseID = undefined\n terminal = false\n return { message: body, mode: \"full\" }\n }),\n observe: (_create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `Invalid ${options.name} WebSocket event`, frame),\n ),\n )\n if (terminal)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} after a terminal event`,\n frame,\n )\n if (event.type === \"error\") {\n terminal = true\n yield* OpenResponses.decodeKnownErrorEvent(event).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `${options.name} returned a malformed error event`, frame),\n ),\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} stream error`),\n }\n }\n if (event.type === \"response.failed\") {\n terminal = true\n if (responseID && event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} response failed`),\n }\n }\n if (event.type === \"response.created\") {\n const created = event.response?.id\n if (responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted duplicate response.created`,\n frame,\n )\n if (!created)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response.created is missing response.id`,\n frame,\n )\n responseID = created\n return { type: \"frame\", frame }\n }\n // Keepalives carry no response state and may arrive before response.created.\n if (event.type === \"keepalive\") return { type: \"frame\", frame }\n if (!responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} before response.created`,\n frame,\n )\n if (event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n if (event.type === \"response.completed\") {\n terminal = true\n return { type: \"completed\", frame }\n }\n if (event.type === \"response.incomplete\") {\n terminal = true\n return { type: \"incomplete\", frame }\n }\n return { type: \"frame\", frame }\n }),\n }\n}\n\nexport const transport = <Body>(options: Options): Transport<Body, Prepared, string> => {\n const http = HttpTransport.sseJson.with<Body>()\n return {\n id: http.id,\n prepare: (input) =>\n Effect.gen(function* () {\n const parts = yield* HttpTransport.jsonRequestParts(input)\n const headers = Headers.remove(options.headers?.(parts.headers) ?? parts.headers, \"content-length\")\n const channel =\n input.webSocket && (options.enabled?.(parts.url) ?? true)\n ? yield* Effect.gen(function* () {\n const create = yield* message(parts.jsonBody)\n const base = driver(options, create.message)\n return {\n url: yield* WebSocketTransport.toWebSocketUrl(options.url?.(parts.url) ?? parts.url),\n headers,\n rotateAfterMs: options.rotateAfterMs,\n driver: OpenResponsesContinuation.driver({\n id: options.id,\n name: options.name,\n request: create.request,\n message: create.message,\n base,\n }),\n }\n })\n : undefined\n return {\n http: {\n request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),\n framing: Framing.sse,\n middleware: input.middleware,\n },\n channel,\n }\n }),\n execute: (prepared, request, runtime, executeOptions) => {\n if (!executeOptions?.webSocket || !prepared.channel) return http.execute(prepared.http, request, runtime)\n const exchange: WebSocketChannelExchange = {\n id: request.id ?? \"request\",\n connect: {\n url: prepared.channel.url,\n headers: prepared.channel.headers,\n rotateAfterMs: prepared.channel.rotateAfterMs,\n },\n fallback: () =>\n Stream.unwrap(\n http.execute(prepared.http, request, runtime).pipe(Effect.map((execution) => execution.frames)),\n ),\n driver: prepared.channel.driver,\n }\n return executeOptions.webSocket.execute(exchange)\n },\n }\n}\n\nexport const OpenResponsesChannel = { transport } as const\n", | ||
| "import { Effect } from \"effect\"\nimport { LLMEvent, type AIError, type ToolResultPart } from \"../../schema/index.js\"\nimport { OpenResponses } from \"../open-responses.js\"\nimport { Lifecycle } from \"./lifecycle.js\"\n\nexport type Item = OpenResponses.StreamItem & {\n readonly id: string\n readonly status?: string\n readonly action?: unknown\n readonly queries?: unknown\n readonly results?: unknown\n readonly code?: string\n readonly container_id?: string\n readonly outputs?: unknown\n readonly server_label?: string\n readonly output?: unknown\n readonly result?: string\n readonly output_format?: \"png\" | \"jpeg\" | \"webp\"\n readonly error?: unknown\n}\n\nexport interface Definition {\n readonly name: string\n readonly input: (item: Item) => unknown\n readonly result?: (item: Item) => Effect.Effect<ToolResultPart[\"result\"], AIError>\n}\n\nexport type Definitions = Readonly<Record<string, Definition>>\n\nexport const isItem = <Tools extends Definitions>(item: OpenResponses.StreamItem, tools: Tools): item is Item =>\n item.type in tools && typeof item.id === \"string\" && item.id.length > 0\n\nexport const onDone: (\n state: OpenResponses.ParserState,\n item: Item,\n tools: Definitions,\n) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn(\"ResponsesHostedTools.onDone\")(function* (\n state,\n item,\n tools,\n) {\n const tool = tools[item.type]\n if (!tool) return [state, []] satisfies OpenResponses.StepResult\n const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n events.push(\n LLMEvent.toolCall({\n id: item.id,\n name: tool.name,\n input: tool.input(item),\n providerExecuted: true,\n providerMetadata,\n }),\n LLMEvent.toolResult({\n id: item.id,\n name: tool.name,\n result: tool.result\n ? yield* tool.result(item)\n : item.error !== undefined && item.error !== null\n ? { type: \"error\", value: item.error }\n : { type: \"json\", value: item },\n providerExecuted: true,\n providerMetadata,\n }),\n )\n return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult\n})\n\nexport * as ResponsesHostedTools from \"./responses-hosted-tools.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "6F030A82FCFDE2AC64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/stats.ts"], | ||
| "sourcesContent": [ | ||
| "import { ClientError, OpenCode, type SessionStatsInfo } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../util/error\"\n\nconst handler = Effect.fn(\"cli.stats\")(function* (input: Runtime.Input<typeof Commands.commands.stats>) {\n const days = Option.getOrUndefined(input.days)\n const year = Option.getOrUndefined(input.year)\n const project = Option.getOrUndefined(input.project)\n if ([days !== undefined, year !== undefined, input.all].filter(Boolean).length > 1)\n yield* Effect.fail(new Error(\"--days, --year, and --all cannot be combined\"))\n\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n const range = statsRange({ days, year, all: input.all })\n const projectID =\n project === \".\"\n ? yield* request(server.endpoint.url, (signal) =>\n client.location\n .get({ location: { directory: process.cwd() } }, { signal })\n .then((location) => location.project.id),\n )\n : project\n const details = input.models || input.tools || input.cost || input.full\n const stats = yield* request(server.endpoint.url, (signal) =>\n client.session.stats(\n {\n from: range.from,\n to: range.to,\n project: projectID,\n timezone: Intl.DateTimeFormat().resolvedOptions().timeZone || \"UTC\",\n tools: input.json || input.tools || input.full ? \"detail\" : details ? \"none\" : \"summary\",\n },\n { signal },\n ),\n )\n const output = input.json\n ? JSON.stringify(stats, null, 2)\n : renderStats(stats, {\n label: range.label,\n scope: project === undefined ? \"all projects\" : project === \".\" ? \"current project\" : \"selected project\",\n models: input.models || input.full,\n tools: input.tools || input.full,\n cost: input.cost || input.full,\n limit: input.limit,\n color: process.stdout.isTTY && process.env.NO_COLOR === undefined,\n width: process.stdout.columns ?? 80,\n })\n process.stdout.write(output + EOL)\n})\n\nexport default Runtime.handler(Commands.commands.stats, (input) =>\n handler(input).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n)\n\nexport function request<A>(url: string, run: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({\n try: () => run(AbortSignal.timeout(30_000)),\n catch: (cause) =>\n cause instanceof ClientError && cause.reason === \"Transport\"\n ? new Error(`Could not reach server at ${url}`, { cause })\n : cause,\n })\n}\n\ntype RenderOptions = {\n label: string\n scope: string\n models: boolean\n tools: boolean\n cost: boolean\n limit: number\n color: boolean\n width: number\n}\n\nconst colors = terminalPalette()\n\nexport function renderStats(stats: SessionStatsInfo, options: RenderOptions) {\n const totalTokens = tokenTotal(stats.tokens)\n const toolTotals = stats.tools.mode === \"none\" ? undefined : stats.tools.totals\n const terminalTools = toolTotals ? toolTotals.succeeded + toolTotals.failed : 0\n const toolRate = !toolTotals || terminalTools === 0 ? undefined : (toolTotals.succeeded / terminalTools) * 100\n const primary = `1;${colors.primary}`\n const sessionLine = [\n metricCount(stats.sessions, \"session\", options.color),\n stats.subagents > 0 ? metricCount(stats.subagents, \"subagent\", options.color) : undefined,\n ]\n .filter((value) => value !== undefined)\n .join(\" · \")\n const toolSummary = !toolTotals\n ? \"tool stats unavailable\"\n : toolRate === undefined\n ? \"no tool calls\"\n : `${style(formatPercent(toolRate), primary, options.color)} tool success`\n const details = options.models || options.tools || options.cost\n const empty = stats.sessions === 0 && stats.prompts === 0 && stats.steps === 0\n const heading = `${style(\"opencode stats\", primary, options.color)} ${style(`· ${options.label} · ${options.scope}`, \"2\", options.color)}`\n const lines = details\n ? [style(`${options.label} · ${options.scope}`, \"2\", options.color)]\n : empty\n ? [\n heading,\n \"\",\n style(\"no activity in this range\", \"2\", options.color),\n \"\",\n style(\"opencode.ai\", \"2\", options.color),\n ]\n : [\n heading,\n \"\",\n ...renderActivity(stats.activity, stats.range.from, stats.range.to, options.color, options.width),\n \"\",\n sessionLine,\n `${metricCount(stats.prompts, \"prompt\", options.color)} · ${metricCount(stats.steps, \"step\", options.color)} · ${metricCount(totalTokens, \"token\", options.color)}`,\n `${toolSummary} · ${metricCount(stats.activeDays, \"active day\", options.color)} · best streak ${style(stats.streak.toString(), primary, options.color)} day${stats.streak === 1 ? \"\" : \"s\"}`,\n \"\",\n style(\"opencode.ai\", \"2\", options.color),\n ]\n\n if (options.cost) lines.push(...(lines.length > 0 ? [\"\"] : []), ...renderCost(stats))\n if (options.models)\n lines.push(...(lines.length > 0 ? [\"\"] : []), ...renderModels(stats, options.limit, options.width))\n if (options.tools) lines.push(...(lines.length > 0 ? [\"\"] : []), ...renderTools(stats, options.limit, options.width))\n return lines.join(EOL)\n}\n\nfunction statsRange(input: { days?: number; year?: number; all: boolean }) {\n const now = new Date()\n const to = now.getTime() + 1\n if (input.all) return { from: undefined, to, label: \"all time\" }\n if (input.days !== undefined) {\n const from = new Date(now.getFullYear(), now.getMonth(), now.getDate())\n from.setDate(from.getDate() - Math.max(0, input.days - 1))\n return {\n from: from.getTime(),\n to,\n label: input.days === 0 || input.days === 1 ? \"today\" : `last ${input.days} days`,\n }\n }\n const year = input.year ?? now.getFullYear()\n return {\n from: new Date(year, 0, 1).getTime(),\n to: year === now.getFullYear() ? to : new Date(year + 1, 0, 1).getTime(),\n label: year === now.getFullYear() ? `${year} so far` : year.toString(),\n }\n}\n\nfunction renderActivity(\n activity: SessionStatsInfo[\"activity\"],\n from: number,\n to: number,\n color: boolean,\n width: number,\n) {\n const values = new Map(activity.map((day) => [day.date, day.steps]))\n const rangeStart = dateOrdinal(new Date(from))\n const rangeEnd = dateOrdinal(new Date(to - 1))\n const end = new Date(to - 1)\n end.setHours(12, 0, 0, 0)\n end.setDate(end.getDate() + (7 - mondayIndex(end) - 1))\n const start = new Date(from)\n start.setHours(12, 0, 0, 0)\n start.setDate(start.getDate() - mondayIndex(start))\n const maxWeeks = Math.max(1, Math.min(53, width - 4))\n const totalWeeks = Math.floor((dateOrdinal(end) - dateOrdinal(start)) / 7) + 1\n const latest = new Date(end)\n latest.setDate(latest.getDate() - (maxWeeks - 1) * 7)\n if (start < latest) start.setTime(latest.getTime())\n\n const active = [...values.values()].filter((value) => value > 0)\n const levels = [...new Set(active)].sort((a, b) => a - b)\n const weekStarts = Array.from({ length: Math.floor((dateOrdinal(end) - dateOrdinal(start)) / 7) + 1 }, (_, week) => {\n const date = new Date(start)\n date.setDate(date.getDate() + week * 7)\n return date\n })\n const weeks = weekStarts.map((week) =>\n Array.from({ length: 7 }, (_, day) => {\n const date = new Date(week)\n date.setDate(date.getDate() + day)\n const ordinal = dateOrdinal(date)\n if (ordinal < rangeStart || ordinal > rangeEnd) return \" \"\n return activityGlyph(values.get(dateKey(date)) ?? 0, levels, color)\n }),\n )\n const weekdays = [\"Mo\", \"Tu\", \"We\", \"Th\", \"Fr\", \"Sa\", \"Su\"]\n return [\n style(totalWeeks > maxWeeks ? `activity · last ${maxWeeks} weeks` : \"activity\", `1;${colors.primary}`, color),\n ` ${style(monthLabels(weekStarts), \"2\", color)}`,\n ...weekdays.flatMap((label, day) => [\n `${style(label, \"2\", color)} ${weeks.map((week) => week[day]).join(\"\")}`,\n ...(day === weekdays.length - 1 ? [] : [\"\"]),\n ]),\n \"\",\n ` ${style(\"less\", \"2\", color)} ${[0, 1, 2, 3, 4].map((level) => paintActivity(level, color)).join(\"\")} ${style(\"more\", \"2\", color)}`,\n ]\n}\n\nfunction renderCost(stats: SessionStatsInfo) {\n const input = stats.tokens.input + stats.tokens.cache.read + stats.tokens.cache.write\n const cached = input === 0 ? 0 : (stats.tokens.cache.read / input) * 100\n return [\n \"COST & TOKENS\",\n row(\"cost\", `$${stats.cost.toFixed(2)}`),\n row(\"input\", formatNumber(stats.tokens.input)),\n row(\"output\", formatNumber(stats.tokens.output)),\n row(\"reasoning\", formatNumber(stats.tokens.reasoning)),\n row(\"cache read\", formatNumber(stats.tokens.cache.read)),\n row(\"cache write\", formatNumber(stats.tokens.cache.write)),\n row(\"cached input\", formatPercent(cached)),\n ]\n}\n\nfunction renderModels(stats: SessionStatsInfo, limit: number, width: number) {\n if (stats.models.length === 0) return [\"MODELS\", \" no model usage\"]\n const models = stats.models.slice(0, limit)\n const more = stats.models.length - models.length\n if (width < 68)\n return [\n \"MODELS\",\n ...models.flatMap((item) => [\n truncate(\n `${item.model.providerID}/${item.model.id}${item.model.variant ? `#${item.model.variant}` : \"\"}`,\n width,\n ),\n ` ${formatNumber(tokenTotal(item.tokens))} tokens · ${formatNumber(item.steps)} steps · $${item.cost.toFixed(2)}`,\n ]),\n ...(more > 0 ? [\"\", `+${more.toLocaleString(\"en-US\")} more model${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n return [\n \"MODELS\",\n tableHeader(\"model\", \"tokens\", \"steps\", \"cost\"),\n ...models.map((item) =>\n tableRow(\n `${item.model.providerID}/${item.model.id}${item.model.variant ? `#${item.model.variant}` : \"\"}`,\n formatNumber(tokenTotal(item.tokens)),\n formatNumber(item.steps),\n `$${item.cost.toFixed(2)}`,\n ),\n ),\n ...(more > 0 ? [\"\", `+${more.toLocaleString(\"en-US\")} more model${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n}\n\nfunction renderTools(stats: SessionStatsInfo, limit: number, width: number) {\n if (stats.tools.mode !== \"detail\") return [\"TOOL RELIABILITY\", \" tool details unavailable\"]\n if (stats.tools.usage.length === 0) return [\"TOOL RELIABILITY\", \" no tool calls\"]\n const tools = stats.tools.usage.slice(0, limit)\n const more = stats.tools.usage.length - tools.length\n if (width < 68)\n return [\n \"TOOL RELIABILITY\",\n ...tools.flatMap((tool) => {\n const terminal = tool.succeeded + tool.failed\n return [\n truncate(tool.name, width),\n ` ${formatNumber(tool.calls)} calls · ${terminal === 0 ? \"-\" : formatPercent((tool.failed / terminal) * 100)} error · ${tool.durationP50 === undefined ? \"-\" : formatDuration(tool.durationP50)} p50`,\n ]\n }),\n \"\",\n `${formatNumber(stats.tools.totals.succeeded + stats.tools.totals.failed)} finished calls · ${formatNumber(stats.tools.totals.unfinished)} unfinished`,\n ...(more > 0 ? [`+${more.toLocaleString(\"en-US\")} more tool${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n return [\n \"TOOL RELIABILITY\",\n tableHeader(\"tool\", \"calls\", \"error\", \"p50\"),\n ...tools.map((tool) => {\n const terminal = tool.succeeded + tool.failed\n return tableRow(\n tool.name,\n formatNumber(tool.calls),\n terminal === 0 ? \"-\" : formatPercent((tool.failed / terminal) * 100),\n tool.durationP50 === undefined ? \"-\" : formatDuration(tool.durationP50),\n )\n }),\n \"\",\n `${formatNumber(stats.tools.totals.succeeded + stats.tools.totals.failed)} finished calls · ${formatNumber(stats.tools.totals.unfinished)} unfinished`,\n ...(more > 0 ? [`+${more.toLocaleString(\"en-US\")} more tool${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n}\n\nfunction row(label: string, value: string) {\n return ` ${label.padEnd(20)}${value}`\n}\n\nfunction tableHeader(label: string, second: string, third: string, fourth: string) {\n return tableRow(label, second, third, fourth)\n}\n\nfunction tableRow(label: string, second: string, third: string, fourth: string) {\n return `${truncate(label, 34).padEnd(34)}${second.padStart(10)}${third.padStart(12)}${fourth.padStart(12)}`\n}\n\nfunction truncate(value: string, width: number) {\n return value.length <= width ? value : value.slice(0, width - 1) + \"…\"\n}\n\nfunction tokenTotal(tokens: SessionStatsInfo[\"tokens\"]) {\n return tokens.input + tokens.output + tokens.reasoning + tokens.cache.read + tokens.cache.write\n}\n\nfunction formatNumber(value: number) {\n if (value >= 1_000_000_000) return `${trimDecimal(value / 1_000_000_000)}b`\n if (value >= 1_000_000) return `${trimDecimal(value / 1_000_000)}m`\n if (value >= 1_000) return `${trimDecimal(value / 1_000)}k`\n return Math.round(value).toLocaleString(\"en-US\")\n}\n\nfunction trimDecimal(value: number) {\n return value.toFixed(1).replace(/\\.0$/, \"\")\n}\n\nfunction formatPercent(value: number) {\n return `${value.toFixed(value >= 10 ? 1 : 2)}%`\n}\n\nfunction formatDuration(value: number) {\n if (value < 1_000) return `${Math.round(value)}ms`\n return `${trimDecimal(value / 1_000)}s`\n}\n\nfunction metricCount(value: number, noun: string, color: boolean) {\n return `${style(formatNumber(value), `1;${colors.primary}`, color)} ${noun}${value === 1 ? \"\" : \"s\"}`\n}\n\nfunction style(value: string, code: string, color: boolean) {\n return color ? `\\x1b[${code}m${value}\\x1b[0m` : value\n}\n\nfunction activityGlyph(value: number, levels: number[], color: boolean) {\n if (value === 0) return paintActivity(0, color)\n const index = levels.indexOf(value)\n const level = Math.max(1, Math.ceil(((index + 1) / levels.length) * 4))\n return paintActivity(level, color)\n}\n\nfunction paintActivity(level: number, color: boolean) {\n const glyph = [\"·\", \"░\", \"▒\", \"▓\", \"█\"][level]\n if (!color) return glyph\n if (level === 0) return `\\x1b[2m${glyph}\\x1b[22m`\n return `\\x1b[${colors.activity[level - 1]}m${glyph}\\x1b[39m`\n}\n\nfunction terminalPalette() {\n const background = Number(process.env.COLORFGBG?.split(\";\").at(-1))\n if (Number.isFinite(background) && background >= 7)\n return {\n primary: \"38;2;59;125;216\",\n activity: [\"38;2;153;169;192\", \"38;2;122;155;200\", \"38;2;90;140;208\", \"38;2;59;125;216\"],\n }\n if (Number.isFinite(background))\n return {\n primary: \"38;2;250;178;131\",\n activity: [\"38;2;117;99;87\", \"38;2;161;125;102\", \"38;2;206;152;116\", \"38;2;250;178;131\"],\n }\n return { primary: \"36\", activity: [\"2;36\", \"36\", \"1;36\", \"1;96\"] }\n}\n\nfunction monthLabels(weeks: Date[]) {\n const line: string[] = []\n weeks.reduce((previous, week, index) => {\n const middle = new Date(week)\n middle.setDate(middle.getDate() + 3)\n const month = middle.getMonth()\n if (month === previous) return previous\n Intl.DateTimeFormat(\"en-US\", { month: \"short\" })\n .format(middle)\n .split(\"\")\n .forEach((character, offset) => {\n line[index + offset] = character\n })\n return month\n }, -1)\n return Array.from({ length: Math.max(weeks.length, line.length) }, (_, index) => line[index] ?? \" \")\n .join(\"\")\n .trimEnd()\n}\n\nfunction mondayIndex(date: Date) {\n return (date.getDay() + 6) % 7\n}\n\nfunction dateKey(date: Date) {\n return [\n date.getFullYear(),\n String(date.getMonth() + 1).padStart(2, \"0\"),\n String(date.getDate()).padStart(2, \"0\"),\n ].join(\"-\")\n}\n\nfunction dateOrdinal(date: Date) {\n return Math.floor(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate()) / 86_400_000)\n}\n" | ||
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| ||
| "debugId": "6E8B0FE512FD80AB64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-compatible-responses.ts", "../ai/src/providers/google-vertex-responses.ts"], | ||
| "sourcesContent": [ | ||
| "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst ADAPTER = \"openai-compatible-responses\"\n\nexport type OpenAICompatibleResponsesLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Deployment adapter for providers that expose an Open Responses-compatible\n * `/responses` endpoint. Provider helpers configure identity, endpoint, and\n * auth while the semantic protocol remains provider-neutral.\n */\nexport const route = Route.make({\n id: ADAPTER,\n providerMetadataKey: \"openresponses\",\n protocol: OpenResponses.protocol,\n endpoint: Endpoint.path(OpenResponses.PATH),\n transport: OpenResponses.httpTransport,\n defaults: { providerOptions: { store: false, include: [\"reasoning.encrypted_content\"] } },\n})\n\nexport * as OpenAICompatibleResponses from \"./openai-compatible-responses.js\"\n", | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleResponses } from \"../protocols/openai-compatible-responses.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenResponsesProviderOptionsInput } from \"./open-responses-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenResponsesProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenResponsesProviderOptionsInput\n}\n\nconst route = OpenAICompatibleResponses.route.with({\n id: \"google-vertex-responses\",\n provider: id,\n providerOptions: { store: false },\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined)\n throw new Error(\"Google Vertex Responses does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Responses does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "sources": ["src/commands/handlers/export.ts"], | ||
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| "import { autocomplete, cancel, intro, isCancel, log, outro } from \"@clack/prompts\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../util/error\"\n\nexport default Runtime.handler(\n Commands.commands.export,\n Effect.fn(\"cli.export\")((input) =>\n Effect.gen(function* () {\n const requested = Option.getOrUndefined(input.session)\n if (!requested && !process.stdin.isTTY) {\n yield* Effect.fail(new Error(\"Pass a session ID when running without an interactive terminal\"))\n }\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const sessionID = requested\n ? requested\n : yield* Effect.gen(function* () {\n intro(\"Export session\", { output: process.stderr })\n const location = yield* Effect.tryPromise({\n try: () => client.location.get({ location: { directory: process.cwd() } }),\n catch: (cause) => cause,\n })\n const page = yield* Effect.tryPromise({\n try: () =>\n client.session.list({\n directory: location.directory,\n workspace: location.workspaceID,\n parentID: null,\n order: \"desc\",\n limit: 50,\n }),\n catch: (cause) => cause,\n })\n if (page.data.length === 0) {\n log.error(\"No sessions found\", { output: process.stderr })\n outro(\"Done\", { output: process.stderr })\n return undefined\n }\n const selected = yield* Effect.tryPromise({\n try: () =>\n autocomplete({\n message: \"Select session to export\",\n maxItems: 10,\n options: page.data.map((session) => ({\n label: session.title,\n value: session.id,\n hint: `${new Date(session.time.updated).toLocaleString()} - ${session.id.slice(-8)}`,\n })),\n output: process.stderr,\n }),\n catch: (cause) => cause,\n })\n if (isCancel(selected)) {\n cancel(\"Cancelled\", { output: process.stderr })\n process.exitCode = 130\n return undefined\n }\n outro(\"Exporting session...\", { output: process.stderr })\n return selected\n })\n if (!sessionID) return\n const data = yield* Effect.tryPromise({\n try: () => client.session.export({ sessionID, sanitize: input.sanitize }),\n catch: (cause) => cause,\n })\n process.stdout.write(JSON.stringify(data, null, 2) + EOL)\n }).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n ),\n)\n" | ||
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| "version": 3, | ||
| "sources": ["../ai/src/protocols/gemini.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n LLMEvent,\n Usage,\n type FinishReason,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ProviderMetadata,\n type TextPart,\n type ToolCallPart,\n type ToolDefinition,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\n\nconst ADAPTER = \"gemini\"\n// Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.\nconst SKIP_THOUGHT_SIGNATURE_VALIDATOR = \"skip_thought_signature_validator\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\n// Gemini 3 rejects replayed function calls without a thought signature. Google's SDKs avoid that in normal chats by\n// retaining complete model responses, but OpenCode reconstructs durable history and may encounter an unsigned call\n// from an older or external session. Model IDs are open-ended, so unknown Gemini aliases inherit current behavior.\nconst requiresThoughtSignatureFallback = (modelID: string) => {\n if (!/(^|\\/)gemini-/i.test(modelID)) return false\n if (/(^|\\/)gemini-(?:1|2)(?:[.-]|$)/i.test(modelID)) return false\n if (/(^|\\/)gemini-pro(?:-vision)?$/i.test(modelID)) return false\n return !/(^|\\/)gemini-robotics-er-1\\.5(?:[.-]|$)/i.test(modelID)\n}\n\n// Gemini 3 accepts media nested inside function responses; matched Gemini 2.5 variants reject it,\n// so their tool-result attachments lower as a separate user turn instead.\nconst routesLegacyToolMedia = (modelID: string) => /gemini-2[.-]5(?:[.-]|$)/i.test(modelID)\n\n// Blacklist: Gemini 1.x/2.x ignore or reject explicit function call ids.\n// Every other model id (Gemini 3+, gemma, anything unrecognized) gets them.\nconst omitsFunctionCallIds = (modelID: string) => {\n const match = /^gemini(?:-live)?-(\\d+)/i.exec(modelID)\n return match !== null && Number(match[1]) < 3\n}\n\nexport interface OptionsInput {\n readonly [key: string]: unknown\n readonly cachedContent?: string\n readonly safetySettings?: ReadonlyArray<{\n readonly category:\n | \"HARM_CATEGORY_UNSPECIFIED\"\n | \"HARM_CATEGORY_HATE_SPEECH\"\n | \"HARM_CATEGORY_DANGEROUS_CONTENT\"\n | \"HARM_CATEGORY_HARASSMENT\"\n | \"HARM_CATEGORY_SEXUALLY_EXPLICIT\"\n | \"HARM_CATEGORY_CIVIC_INTEGRITY\"\n | (string & {})\n readonly threshold:\n | \"HARM_BLOCK_THRESHOLD_UNSPECIFIED\"\n | \"BLOCK_LOW_AND_ABOVE\"\n | \"BLOCK_MEDIUM_AND_ABOVE\"\n | \"BLOCK_ONLY_HIGH\"\n | \"BLOCK_NONE\"\n | \"OFF\"\n | (string & {})\n }>\n readonly serviceTier?: \"standard\" | \"flex\" | \"priority\" | (string & {})\n readonly thinkingConfig?: {\n readonly thinkingBudget?: number\n readonly includeThoughts?: boolean\n readonly thinkingLevel?: \"minimal\" | \"low\" | \"medium\" | \"high\" | (string & {})\n }\n}\n\nexport type ProviderOptionsInput = OptionsInput\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\n// Gemini is known to send explicit `null` for optional streaming fields\n// (usage counts, flags, whole subtrees), so every response-side optional uses\n// `optionalNull` instead of bare `Schema.optional`. The same part/content\n// schemas lower the outbound request body; encoding drops `undefined` keys,\n// so the shared schemas stay safe there.\nconst GeminiTextPart = Schema.Struct({\n text: Schema.String,\n thought: optionalNull(Schema.Boolean),\n thoughtSignature: optionalNull(Schema.String),\n})\n\nconst GeminiInlineDataPart = Schema.Struct({\n inlineData: Schema.Struct({\n mimeType: Schema.String,\n data: Schema.String,\n }),\n})\ntype GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>\n\nconst GeminiFunctionCallPart = Schema.Struct({\n functionCall: Schema.Struct({\n id: optionalNull(Schema.String),\n name: Schema.String,\n args: Schema.optional(Schema.Unknown),\n }),\n thoughtSignature: optionalNull(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n functionResponse: Schema.Struct({\n id: Schema.optional(Schema.String),\n name: Schema.String,\n response: Schema.Unknown,\n parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),\n }),\n})\n\nconst GeminiContentPart = Schema.Union([\n GeminiTextPart,\n GeminiInlineDataPart,\n GeminiFunctionCallPart,\n GeminiFunctionResponsePart,\n])\nconst decodeGeminiContentPart = Schema.decodeUnknownOption(GeminiContentPart)\n\nconst GeminiContent = Schema.Struct({\n role: optionalNull(Schema.Literals([\"user\", \"model\"])),\n parts: optionalNull(Schema.Array(GeminiContentPart)),\n})\ntype GeminiContent = Schema.Schema.Type<typeof GeminiContent>\n\nconst GeminiResponseContent = Schema.Struct({\n role: optionalNull(Schema.Literals([\"user\", \"model\"])),\n parts: optionalNull(Schema.Array(Schema.Unknown)),\n})\n\nconst GeminiSystemInstruction = Schema.Struct({\n parts: Schema.Array(Schema.Struct({ text: Schema.String })),\n})\n\nconst GeminiFunctionDeclaration = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n parameters: Schema.optional(JsonObject),\n})\n\nconst GeminiTool = Schema.Struct({\n functionDeclarations: Schema.Array(GeminiFunctionDeclaration),\n})\n\nconst GeminiToolConfig = Schema.Struct({\n functionCallingConfig: Schema.Struct({\n mode: Schema.Literals([\"AUTO\", \"NONE\", \"ANY\"]),\n allowedFunctionNames: optionalArray(Schema.String),\n }),\n})\n\nconst GeminiThinkingConfig = Schema.Struct({\n thinkingBudget: Schema.optional(Schema.Number),\n includeThoughts: Schema.optional(Schema.Boolean),\n thinkingLevel: Schema.optional(Schema.String),\n})\n\nconst GeminiSafetySetting = Schema.Struct({\n category: Schema.String,\n threshold: Schema.String,\n})\n\nconst GeminiGenerationConfig = Schema.Struct({\n maxOutputTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n topK: Schema.optional(Schema.Number),\n frequencyPenalty: Schema.optional(Schema.Number),\n presencePenalty: Schema.optional(Schema.Number),\n seed: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n cachedContent: Schema.optional(Schema.String),\n contents: Schema.Array(GeminiContent),\n labels: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n safetySettings: optionalArray(GeminiSafetySetting),\n serviceTier: Schema.optional(Schema.String),\n systemInstruction: Schema.optional(GeminiSystemInstruction),\n tools: optionalArray(GeminiTool),\n toolConfig: Schema.optional(GeminiToolConfig),\n generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n cachedContentTokenCount: optionalNull(Schema.Number),\n thoughtsTokenCount: optionalNull(Schema.Number),\n promptTokenCount: optionalNull(Schema.Number),\n candidatesTokenCount: optionalNull(Schema.Number),\n totalTokenCount: optionalNull(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n content: optionalNull(GeminiResponseContent),\n finishReason: optionalNull(Schema.String),\n})\n\nconst GeminiPromptFeedback = Schema.StructWithRest(\n Schema.Struct({\n blockReason: optionalNull(Schema.String),\n blockReasonMessage: optionalNull(Schema.String),\n safetyRatings: optionalNull(Schema.Unknown),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype GeminiPromptFeedback = Schema.Schema.Type<typeof GeminiPromptFeedback>\n\nconst GeminiEvent = Schema.Struct({\n candidates: optionalNull(Schema.Array(GeminiCandidate)),\n promptFeedback: optionalNull(GeminiPromptFeedback),\n usageMetadata: optionalNull(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n readonly route: string\n readonly finishReason?: string\n readonly hasToolCalls: boolean\n readonly promptFeedback?: GeminiPromptFeedback\n readonly usage?: Usage\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignature?: string\n readonly textSignature?: string\n readonly seenCallIds?: ReadonlySet<string>\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n// enums (must be strings), `required` entries that don't match a property,\n// untyped arrays (`items` must be present), and `properties`/`required`\n// keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n// drop empty root parameter schemas while preserving nested empty objects,\n// expand type arrays into `anyOf`, derive `nullable: true` from null members,\n// coerce `const` to `[const]` enum, recurse properties/items, and propagate\n// only an allowlisted set of keys (description, required, format, type,\n// nullable, enum, properties, items, allOf, anyOf, oneOf, minLength).\n// Anything outside the allowlist (e.g. `additionalProperties`, `$ref`) is\n// silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n name: tool.name,\n description: tool.description,\n parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n if (part.type === \"text\") return { text: part.text }\n const media = ProviderShared.normalizeMedia(part)\n return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n const google = providerMetadata?.google\n return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n ? google.thoughtSignature\n : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart, omitIds: boolean) => ({\n functionCall: { ...(omitIds ? {} : { id: part.id }), 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 const omitCallIds = omitsFunctionCallIds(request.model.id)\n const legacyToolMedia = routesLegacyToolMedia(request.model.id)\n let pendingMedia: GeminiInlineDataPart[] | undefined\n const flushMedia = () => {\n if (!pendingMedia) return\n contents.push({ role: \"user\", parts: [{ text: \"Attached media from tool result:\" }, ...pendingMedia] })\n pendingMedia = undefined\n }\n\n for (const message of request.messages) {\n if (message.role !== \"tool\") flushMedia()\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Gemini\", message)\n const previous = contents.at(-1)\n // Gemini rejects a continuation whose function-response turn carries extra\n // parts, so an update after a tool result starts its own user turn.\n if (previous?.role === \"user\" && !(previous.parts ?? []).some((item) => \"functionResponse\" in item))\n contents[contents.length - 1] = { role: \"user\", parts: [...(previous.parts ?? []), { text: part.text }] }\n else contents.push({ role: \"user\", parts: [{ text: part.text }] })\n continue\n }\n\n if (message.role === \"user\") {\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"user\", [\"text\", \"media\"])\n parts.push(yield* lowerUserPart(part))\n }\n contents.push({ role: \"user\", parts })\n continue\n }\n\n if (message.role === \"assistant\") {\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n // Parallel Gemini 3 calls may carry one signature on the first call; unsigned sibling calls are valid.\n let hasSignedToolCall = false\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n if (part.type === \"text\") {\n parts.push({ text: part.text, thoughtSignature: thoughtSignature(part.providerMetadata) })\n continue\n }\n if (part.type === \"reasoning\") {\n parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n continue\n }\n if (part.type === \"tool-call\") {\n const lowered = lowerToolCall(part, omitCallIds)\n const signature = lowered.thoughtSignature\n parts.push({\n ...lowered,\n thoughtSignature:\n signature ??\n (requiresThoughtSignatureFallback(request.model.id) && !hasSignedToolCall\n ? SKIP_THOUGHT_SIGNATURE_VALIDATOR\n : undefined),\n })\n if (signature !== undefined) hasSignedToolCall = true\n continue\n }\n }\n contents.push({ role: \"model\", parts })\n continue\n }\n\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n if (part.result.type !== \"content\") {\n parts.push({\n functionResponse: {\n ...(omitCallIds ? {} : { id: part.id }),\n name: part.name,\n response: {\n name: part.name,\n content: ProviderShared.toolResultText(part),\n },\n },\n })\n continue\n }\n const content: ReadonlyArray<Tool.Content> = part.result.value\n const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n const media: GeminiInlineDataPart[] = []\n for (const item of content) {\n if (item.type === \"text\") continue\n const value = ProviderShared.normalizeToolFile(item)\n media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })\n }\n if (legacyToolMedia && media.length > 0) (pendingMedia ??= []).push(...media)\n parts.push({\n functionResponse: {\n ...(omitCallIds ? {} : { id: part.id }),\n name: part.name,\n response: {\n name: part.name,\n content: text.join(\"\\n\"),\n },\n parts: legacyToolMedia || media.length === 0 ? undefined : media,\n },\n })\n }\n // Gemini requires every response to a parallel call batch in one user turn,\n // so consecutive tool results join the open function-response turn.\n const previous = contents.at(-1)\n if (previous?.role === \"user\" && (previous.parts ?? []).some((item) => \"functionResponse\" in item))\n contents[contents.length - 1] = { role: \"user\", parts: [...(previous.parts ?? []), ...parts] }\n else contents.push({ role: \"user\", parts })\n }\n\n flushMedia()\n return contents\n})\n\nconst resolveOptions = (request: LLMRequest) => {\n const input = request.providerOptions\n const value = input?.thinkingConfig\n const thinkingConfig = {\n thinkingBudget:\n ProviderShared.isRecord(value) && typeof value.thinkingBudget === \"number\" ? value.thinkingBudget : undefined,\n includeThoughts:\n ProviderShared.isRecord(value) && typeof value.includeThoughts === \"boolean\"\n ? value.includeThoughts\n : ProviderShared.isRecord(value)\n ? true\n : undefined,\n thinkingLevel:\n ProviderShared.isRecord(value) && typeof value.thinkingLevel === \"string\" ? value.thinkingLevel : undefined,\n }\n return {\n cachedContent: typeof input?.cachedContent === \"string\" ? input.cachedContent : undefined,\n safetySettings: mapSafetySettings(input?.safetySettings),\n serviceTier: typeof input?.serviceTier === \"string\" ? input.serviceTier : undefined,\n thinkingConfig: Object.values(thinkingConfig).some((item) => item !== undefined) ? thinkingConfig : undefined,\n }\n}\n\nfunction mapSafetySettings(value: unknown) {\n if (!Array.isArray(value)) return undefined\n const settings = value.flatMap((item) =>\n ProviderShared.isRecord(item) && typeof item.category === \"string\" && typeof item.threshold === \"string\"\n ? [{ category: item.category, threshold: item.threshold }]\n : [],\n )\n return settings\n}\n\nconst fromRequest = Effect.fn(\"Gemini.fromRequest\")(function* (request: LLMRequest) {\n const hasTools = request.tools.length > 0\n const generation = request.generation\n const options = resolveOptions(request)\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n const generationConfig = {\n maxOutputTokens: generation?.maxTokens,\n temperature: generation?.temperature,\n topP: generation?.topP,\n topK: generation?.topK,\n frequencyPenalty: generation?.frequencyPenalty,\n presencePenalty: generation?.presencePenalty,\n seed: generation?.seed,\n stopSequences: generation?.stop,\n thinkingConfig: options.thinkingConfig,\n }\n\n return {\n cachedContent: options.cachedContent,\n contents: yield* lowerMessages(request),\n safetySettings: options.safetySettings,\n serviceTier: options.serviceTier,\n systemInstruction:\n request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },\n tools: hasTools\n ? [\n {\n functionDeclarations: request.tools.map((tool) =>\n lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n ),\n },\n ]\n : undefined,\n toolConfig: hasTools && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,\n generationConfig: Object.values(generationConfig).some((value) => value !== undefined)\n ? generationConfig\n : undefined,\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Gemini reports `promptTokenCount` (inclusive total) with a\n// `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*\n// of `thoughtsTokenCount` — visible-only, not a total — so we sum the two\n// to produce the inclusive `outputTokens` the rest of the contract expects.\nconst mapUsage = (usage: GeminiUsage | undefined) => {\n if (!usage) return undefined\n // Explicit provider nulls decode as `null`; normalize to `undefined` so the\n // token arithmetic below treats them like absent counts.\n const promptTokens = usage.promptTokenCount ?? undefined\n const cached = usage.cachedContentTokenCount ?? undefined\n const thoughts = usage.thoughtsTokenCount ?? undefined\n const visible = usage.candidatesTokenCount ?? undefined\n const nonCached = ProviderShared.subtractTokens(promptTokens, 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 = visible !== undefined ? visible + (thoughts ?? 0) : undefined\n return new Usage({\n inputTokens: promptTokens,\n outputTokens,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cached,\n reasoningTokens: thoughts,\n totalTokens: ProviderShared.totalTokens(promptTokens, outputTokens, usage.totalTokenCount ?? undefined),\n providerMetadata: { google: usage },\n })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n if (finishReason === undefined) return hasToolCalls ? \"tool-calls\" : \"unknown\"\n if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n if (finishReason === \"MAX_TOKENS\") return \"length\"\n if (\n finishReason === \"IMAGE_SAFETY\" ||\n finishReason === \"RECITATION\" ||\n finishReason === \"SAFETY\" ||\n finishReason === \"BLOCKLIST\" ||\n finishReason === \"PROHIBITED_CONTENT\" ||\n finishReason === \"SPII\" ||\n finishReason === \"MODEL_ARMOR\" ||\n finishReason === \"IMAGE_PROHIBITED_CONTENT\" ||\n finishReason === \"IMAGE_RECITATION\" ||\n finishReason === \"LANGUAGE\"\n )\n return \"content-filter\"\n if (\n finishReason === \"MALFORMED_FUNCTION_CALL\" ||\n finishReason === \"UNEXPECTED_TOOL_CALL\" ||\n finishReason === \"NO_IMAGE\" ||\n finishReason === \"TOO_MANY_TOOL_CALLS\" ||\n finishReason === \"MISSING_THOUGHT_SIGNATURE\" ||\n finishReason === \"MALFORMED_RESPONSE\"\n )\n return \"error\"\n return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> => {\n // `?? undefined` normalizes an explicit `null` blockReason back to absent so\n // the \"nothing to finish\" check below keeps its meaning.\n const promptBlockReason =\n state.finishReason === undefined ? (state.promptFeedback?.blockReason ?? undefined) : undefined\n const finishReason = state.finishReason ?? promptBlockReason\n if (finishReason === undefined && state.usage === undefined) return []\n\n const events: LLMEvent[] = []\n let lifecycle = state.lifecycle\n if (state.reasoningSignature !== undefined)\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n googleMetadata({ thoughtSignature: state.reasoningSignature }),\n )\n if (state.textSignature !== undefined)\n lifecycle = Lifecycle.textEnd(lifecycle, events, \"text-0\", googleMetadata({ thoughtSignature: state.textSignature }))\n Lifecycle.finish(lifecycle, events, {\n reason: {\n normalized:\n promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : \"content-filter\",\n raw: finishReason,\n },\n usage: state.usage,\n providerMetadata:\n state.promptFeedback === undefined ? undefined : googleMetadata({ promptFeedback: state.promptFeedback }),\n })\n return events\n}\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n const nextState = {\n ...state,\n promptFeedback: event.promptFeedback ?? state.promptFeedback,\n usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n }\n const candidate = event.candidates?.[0]\n if (!candidate?.content)\n return Effect.succeed([\n { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n [],\n ] as const)\n\n const events: LLMEvent[] = []\n let hasToolCalls = nextState.hasToolCalls\n let lifecycle = nextState.lifecycle\n let reasoningSignature = nextState.reasoningSignature\n let textSignature = nextState.textSignature\n // Supplier ids must be tracked across chunks of the same response, not just within one event's parts.\n const seenCallIds = new Set(nextState.seenCallIds)\n\n for (const input of candidate.content.parts ?? []) {\n if (\n ProviderShared.isRecord(input) &&\n !(\"text\" in input) &&\n !(\"inlineData\" in input) &&\n !(\"functionCall\" in input) &&\n !(\"functionResponse\" in input)\n )\n continue\n const decoded = decodeGeminiContentPart(input)\n if (Option.isNone(decoded))\n return Effect.fail(\n ProviderShared.eventError(ADAPTER, `Invalid ${state.route} stream event`, ProviderShared.encodeJson(event)),\n )\n const part = decoded.value\n const signature = \"thoughtSignature\" in part && part.thoughtSignature ? part.thoughtSignature : undefined\n // Gemini attaches replay signatures to thought parts, visible text, or function calls;\n // each block kind must retain the signature attached to its own parts.\n if (signature !== undefined && \"thought\" in part && part.thought) reasoningSignature = signature\n else if (signature !== undefined && \"text\" in part) textSignature = signature\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 signature ? googleMetadata({ thoughtSignature: signature }) : 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(\n lifecycle,\n events,\n \"text-0\",\n part.text,\n textSignature ? googleMetadata({ thoughtSignature: textSignature }) : undefined,\n )\n textSignature = undefined\n continue\n }\n\n if (\"functionCall\" in part) {\n const input = part.functionCall.args === undefined ? {} : part.functionCall.args\n // Gemini 2.0+ supplies a unique function call ID on the part; when omitted (e.g. Gemini 1.5),\n // generate a globally unique ID rather than a per-request counter to prevent cross-request collisions in downstream registries.\n // A repeated supplier id would replay as two identical calls, so only the first occurrence keeps it.\n // A `null` supplier id normalizes to absent so the generated-id fallback applies.\n const supplied = part.functionCall.id ?? undefined\n const duplicate = supplied !== undefined && seenCallIds.has(supplied)\n if (supplied !== undefined) seenCallIds.add(supplied)\n const id = supplied !== undefined && !duplicate ? supplied : `tool_${crypto.randomUUID().replaceAll(\"-\", \"\")}`\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:\n part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n }),\n )\n hasToolCalls = true\n }\n }\n\n return Effect.succeed([\n {\n ...nextState,\n hasToolCalls,\n lifecycle,\n reasoningSignature,\n textSignature,\n seenCallIds,\n finishReason: candidate.finishReason ?? nextState.finishReason,\n },\n events,\n ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine shared by Google AI Studio and Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: GeminiBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(GeminiEvent),\n initial: (request) => ({\n route: `${request.model.provider}/${request.model.route.id}`,\n hasToolCalls: false,\n lifecycle: Lifecycle.initial(),\n }),\n step,\n onHalt: (state) => Effect.succeed(finish(state)),\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"google\",\n providerMetadataKey: \"google\",\n protocol,\n // Gemini's path embeds the model id and pins SSE framing at the URL level.\n endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n baseURL: DEFAULT_BASE_URL,\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini.js\"\n" | ||
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| ||
| "debugId": "A00BA5E7870BFA7F64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"], | ||
| "sourcesContent": [ | ||
| "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor.js\"\nimport type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from \"./image.js\"\nimport type { AIError } from \"./schema/index.js\"\n\nexport type Execute = RequestExecutor.Interface[\"execute\"]\n\nexport interface Interface {\n readonly generate: <Options extends ImageOptions>(\n request: ImageRequestFor<Options>,\n ) => Effect.Effect<ImageResponse, AIError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/ImageClient\") {}\n\nexport const generate = <Options extends ImageOptions>(\n request: ImageRequestFor<Options>,\n): Effect.Effect<ImageResponse, AIError, Service> =>\n Effect.gen(function* () {\n const client = yield* Service\n return yield* client.generate(request)\n })\n\nexport const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(\n Service,\n Effect.gen(function* () {\n const executor = yield* RequestExecutor.Service\n return Service.of({\n generate: (request) => request.model.route.generate(request, executor.execute),\n })\n }),\n)\n\nexport const ImageClient = {\n Service,\n layer,\n generate,\n} as const\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport {\n HttpOptions,\n InvalidRequestReason,\n AIError,\n ModelID,\n ProviderID,\n ProviderMetadata,\n Usage,\n} from \"./schema/index.js\"\nimport { ImageClient, Service, type Execute as ImageExecute } from \"./image-client.js\"\n\nexport interface ImageRoute<Options extends ImageOptions = ImageOptions> {\n readonly id: string\n readonly generate: (request: ImageRequestFor<Options>, execute: ImageExecute) => Effect.Effect<ImageResponse, AIError>\n}\n\nexport type ImageOptions = Record<string, unknown>\n\nexport class ImageModel<Options extends ImageOptions = ImageOptions> {\n declare protected readonly _Options: (options: Options) => Options\n readonly id: ModelID\n readonly provider: ProviderID\n readonly route: ImageRoute<Options>\n readonly http?: HttpOptions\n\n constructor(input: ImageModel.Input<Options>) {\n this.id = input.id\n this.provider = input.provider\n this.route = input.route\n this.http = input.http\n }\n\n static make<Options extends ImageOptions = ImageOptions>(input: ImageModel.MakeInput<Options>) {\n return new ImageModel<Options>({\n id: ModelID.make(input.id),\n provider: ProviderID.make(input.provider),\n route: input.route,\n http: input.http,\n })\n }\n}\n\nexport namespace ImageModel {\n export interface Input<Options extends ImageOptions = ImageOptions> {\n readonly id: ModelID\n readonly provider: ProviderID\n readonly route: ImageRoute<Options>\n readonly http?: HttpOptions\n }\n\n export interface MakeInput<Options extends ImageOptions = ImageOptions>\n extends Omit<Input<Options>, \"id\" | \"provider\"> {\n readonly id: string | ModelID\n readonly provider: string | ProviderID\n }\n}\n\nexport const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {\n expected: \"Image.Model\",\n})\n\nconst ImageBytesInput = Schema.Struct({\n type: Schema.Literal(\"bytes\"),\n data: Schema.Uint8Array,\n mediaType: Schema.String,\n})\nconst ImageUrlInput = Schema.Struct({\n type: Schema.Literal(\"url\"),\n url: Schema.String,\n})\nconst ImageFileIDInput = Schema.Struct({\n type: Schema.Literal(\"file-id\"),\n id: Schema.String,\n})\nconst ImageFileURIInput = Schema.Struct({\n type: Schema.Literal(\"file-uri\"),\n uri: Schema.String,\n mediaType: Schema.String,\n})\n\nexport const ImageInputSchema = Schema.Union([\n ImageBytesInput,\n ImageUrlInput,\n ImageFileIDInput,\n ImageFileURIInput,\n]).pipe(Schema.toTaggedUnion(\"type\"))\nexport type ImageInput = Schema.Schema.Type<typeof ImageInputSchema>\n\nexport const ImageInput = {\n bytes: (data: Uint8Array, mediaType: string): ImageInput => ({ type: \"bytes\", data, mediaType }),\n url: (url: string): ImageInput => ({ type: \"url\", url }),\n file: (id: string): ImageInput => ({ type: \"file-id\", id }),\n fileUri: (uri: string, mediaType: string): ImageInput => ({ type: \"file-uri\", uri, mediaType }),\n} as const\n\nexport class ImageRequest extends Schema.Class<ImageRequest>(\"Image.Request\")({\n model: ImageModelSchema,\n prompt: Schema.String,\n images: Schema.optional(Schema.Array(ImageInputSchema)),\n options: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n http: Schema.optional(HttpOptions),\n}) {\n declare protected readonly _ImageRequest: void\n}\n\nexport type ImageRequestFor<Options extends ImageOptions = ImageOptions> = Omit<ImageRequest, \"model\" | \"options\"> & {\n readonly model: ImageModel<Options>\n readonly options?: Options\n}\n\nexport type ImageModelOptions<Model> = Model extends ImageModel<infer Options> ? Options : never\n\nexport type ImageRequestInput<Model extends object = ImageModel> = Omit<\n ConstructorParameters<typeof ImageRequest>[0],\n \"model\" | \"options\" | \"http\"\n> & {\n readonly model: Model\n readonly options?: NoInfer<ImageModelOptions<Model>>\n readonly http?: HttpOptions.Input\n} & (Model extends ImageModel<ImageModelOptions<Model>> ? unknown : never)\n\nexport class GeneratedImage extends Schema.Class<GeneratedImage>(\"Image.Generated\")({\n mediaType: Schema.String,\n data: Schema.Union([Schema.String, Schema.Uint8Array]),\n providerMetadata: Schema.optional(ProviderMetadata),\n}) {}\n\nexport class ImageResponse extends Schema.Class<ImageResponse>(\"Image.Response\")({\n images: Schema.Array(GeneratedImage),\n usage: Schema.optional(Usage),\n providerMetadata: Schema.optional(ProviderMetadata),\n}) {\n get image() {\n return this.images[0]\n }\n}\n\nexport function request<const Model extends object>(\n input: ImageRequestInput<Model>,\n): ImageRequestFor<ImageModelOptions<Model>>\nexport function request(input: ImageRequest): ImageRequest\nexport function request(input: ImageRequest | ImageRequestInput) {\n if (input instanceof ImageRequest) return input\n return new ImageRequest({\n ...input,\n model: input.model as unknown as ImageModel,\n http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n })\n}\n\nexport function generate<const Model extends object>(\n input: ImageRequestInput<Model>,\n): Effect.Effect<ImageResponse, AIError, Service>\nexport function generate(input: ImageRequest): Effect.Effect<ImageResponse, AIError, Service>\nexport function generate(input: ImageRequest | ImageRequestInput) {\n return Effect.try({\n try: () => (input instanceof ImageRequest ? input : request(input)),\n catch: (error) =>\n new AIError({\n module: \"Image\",\n method: \"generate\",\n reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),\n }),\n }).pipe(Effect.flatMap((request) => ImageClient.generate(request as unknown as ImageRequestFor<ImageOptions>)))\n}\n\nexport const Image = {\n request,\n generate,\n} as const\n" | ||
| ], | ||
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| "debugId": "439DEB35ACF48B3564756E2164756E21", | ||
| "names": [] | ||
| } |
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-1
| { | ||
| "name": "@opencode-ai/cli-linux-arm64", | ||
| "version": "0.0.0-dev-18167", | ||
| "version": "0.0.0-dev-18171", | ||
| "license": "MIT", | ||
@@ -5,0 +5,0 @@ "repository": { |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex-chat.ts"], | ||
| "sourcesContent": [ | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleChat } from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst route = OpenAICompatibleChat.route.with({\n id: \"google-vertex-chat\",\n provider: id,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Chat does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/form.ts", "src/commands/handlers/auth/login.ts"], | ||
| "sourcesContent": [ | ||
| "import { confirm, log, multiselect, password, select, text, type Option } from \"@clack/prompts\"\nimport { Effect } from \"effect\"\nimport type { FormAnswer, FormField, FormFields } from \"@opencode-ai/client\"\nimport { openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\n\nconst skip = Symbol(\"skip\")\nconst custom = Symbol(\"custom\")\n\nexport const answerForm = Effect.fn(\"cli.auth.form\")(function* (fields: FormFields | undefined) {\n if (!fields) return undefined\n yield* requireInteractive(\"Authentication form input requires an interactive terminal\")\n const answer: FormAnswer = {}\n for (const field of fields) {\n if (!active(field, answer)) continue\n const value = yield* answerField(field)\n if (value !== undefined) answer[field.key] = value\n }\n return answer\n})\n\nexport const secret = Effect.fn(\"cli.auth.secret\")(function* (message: string) {\n yield* requireInteractive(\"API key input requires an interactive terminal\")\n return yield* prompt<string>(() => password({ message, validate: (value) => (!value ? \"Required\" : undefined) }))\n})\n\nconst answerField = Effect.fn(\"cli.auth.form.field\")(function* (field: FormField) {\n const message = field.title ?? field.key\n if (field.description) log.info(field.description)\n if (field.type === \"external\") {\n log.info(field.url)\n yield* openUrl(field.url)\n const acknowledged = yield* prompt<boolean>(() =>\n confirm({ message: message || \"Continue after completing this step?\", initialValue: true }),\n )\n if (!acknowledged) return yield* Effect.fail(new Error(`${message || \"External step\"} is required`))\n return true\n }\n if (field.type === \"boolean\") {\n if (field.required) return yield* prompt<boolean>(() => confirm({ message, initialValue: field.default ?? true }))\n const options: Array<Option<boolean | typeof skip>> = [\n { value: true, label: \"Yes\" },\n { value: false, label: \"No\" },\n { value: skip, label: \"Skip\" },\n ]\n const value = yield* prompt<boolean | typeof skip>(() =>\n select<boolean | typeof skip>({\n message,\n options,\n initialValue: field.default ?? skip,\n }),\n )\n if (value === skip) return undefined\n return value\n }\n if (field.type === \"multiselect\") {\n const options: Array<Option<string | typeof custom>> = field.options.map((option) => ({\n value: option.value,\n label: option.label,\n hint: option.description,\n }))\n if (field.custom) options.push({ value: custom, label: \"Type another value\" })\n const values = yield* prompt<Array<string | typeof custom>>(() =>\n multiselect<string | typeof custom>({\n message,\n options,\n initialValues: field.default,\n required: field.required || (field.minItems ?? 0) > 0,\n }),\n )\n const selected = values.filter((value): value is string => value !== custom)\n if (values.includes(custom)) {\n selected.push(yield* prompt<string>(() => text({ message: \"Enter value\", validate: required })))\n }\n if (field.minItems !== undefined && selected.length < field.minItems) {\n return yield* Effect.fail(new Error(`Select at least ${field.minItems}`))\n }\n if (field.maxItems !== undefined && selected.length > field.maxItems) {\n return yield* Effect.fail(new Error(`Select at most ${field.maxItems}`))\n }\n return selected\n }\n if (field.type === \"string\" && field.options) {\n const options: Array<Option<string | typeof custom | typeof skip>> = field.options.map((option) => ({\n value: option.value,\n label: option.label,\n hint: option.description,\n }))\n if (field.custom) options.push({ value: custom, label: \"Type your own answer\" })\n if (!field.required) options.push({ value: skip, label: \"Skip\" })\n const value = yield* prompt<string | typeof custom | typeof skip>(() =>\n select<string | typeof custom | typeof skip>({ message, options, initialValue: field.default }),\n )\n if (value === skip) return undefined\n if (value !== custom) return value\n }\n const value = yield* prompt<string>(() =>\n text({\n message,\n placeholder: field.type === \"string\" ? field.placeholder : undefined,\n initialValue: field.default === undefined ? undefined : String(field.default),\n validate: (input) => validateText(field, input),\n }),\n )\n if (!value && !field.required) return undefined\n if (field.type === \"string\") return value\n return Number(value)\n})\n\nfunction active(field: FormField, answer: FormAnswer) {\n if (field.type === \"external\" || !field.when) return true\n return field.when.every((condition) => {\n const value = answer[condition.key]\n if (value === undefined) return false\n const matches = Array.isArray(value) ? value.includes(String(condition.value)) : value === condition.value\n return condition.op === \"eq\" ? matches : !matches\n })\n}\n\nfunction required(value: string | undefined) {\n return value ? undefined : \"Required\"\n}\n\nfunction validateText(field: Exclude<FormField, { type: \"boolean\" | \"external\" | \"multiselect\" }>, value?: string) {\n if (!value) return field.required ? \"Required\" : undefined\n if (field.type === \"number\" || field.type === \"integer\") {\n const number = Number(value)\n if (!Number.isFinite(number)) return \"Expected a number\"\n if (field.type === \"integer\" && !Number.isInteger(number)) return \"Expected an integer\"\n if (typeof field.minimum === \"number\" && number < field.minimum) return `Must be at least ${field.minimum}`\n if (typeof field.maximum === \"number\" && number > field.maximum) return `Must be at most ${field.maximum}`\n return undefined\n }\n if (field.minLength !== undefined && value.length < field.minLength)\n return `Must be at least ${field.minLength} characters`\n if (field.maxLength !== undefined && value.length > field.maxLength)\n return `Must be at most ${field.maxLength} characters`\n if (field.pattern) {\n try {\n if (!new RegExp(field.pattern).test(value)) return \"Invalid format\"\n } catch {\n return \"Invalid format\"\n }\n }\n if (field.format === \"uri\" && !URL.canParse(value)) return \"Expected a URL\"\n if (field.format === \"email\" && !/^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(value)) return \"Expected an email address\"\n if (field.format === \"date\") {\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(value)) return \"Expected a date\"\n const date = new Date(`${value}T00:00:00.000Z`)\n if (Number.isNaN(date.getTime()) || date.toISOString().slice(0, 10) !== value) return \"Expected a date\"\n }\n if (field.format === \"date-time\" && Number.isNaN(Date.parse(value))) return \"Expected a date and time\"\n return undefined\n}\n", | ||
| "import { autocomplete, intro, log, outro, select, spinner, text } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { FormAnswer, IntegrationInfo, OpenCodeClient } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, openUrl, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { answerForm, secret } from \"./form\"\nimport {\n createClient,\n connectMethods,\n loadIntegrations,\n location,\n request,\n resolveIntegration,\n resolveMethod,\n type ConnectMethod,\n} from \"./shared\"\n\nconst integrationPriority = new Map([\n [\"opencode\", 0],\n [\"opencode-go\", 1],\n [\"openai\", 2],\n [\"github-copilot\", 3],\n [\"google\", 4],\n [\"anthropic\", 5],\n [\"openrouter\", 6],\n [\"vercel\", 7],\n])\n\nexport default Runtime.handler(\n Commands.commands.auth.commands.login,\n Effect.fn(\"cli.auth.login\")((input) =>\n login({\n target: Option.getOrUndefined(input.target),\n method: Option.getOrUndefined(input.method),\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n }).pipe(handlePromptErrors),\n ),\n)\n\nconst login = Effect.fn(\"cli.auth.login.run\")(function* (input: {\n target?: string\n method?: string\n server?: string\n standalone: boolean\n}) {\n if (!input.target)\n yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n intro(\"Connect an integration\")\n const client = yield* createClient({ server: input.server, standalone: input.standalone })\n const integration = yield* findIntegration(client, input.target)\n const methods = connectMethods(integration)\n if (methods.length === 0) yield* Effect.fail(new Error(`${integration.name} has no interactive login methods`))\n const method = yield* chooseMethod(methods, input.method)\n const answer = method.type === \"command\" ? undefined : yield* answerForm(method.form)\n yield* authenticate(client, integration, method, answer)\n outro(\"Done\")\n})\n\nconst findIntegration = Effect.fn(\"cli.auth.login.integration\")(function* (client: OpenCodeClient, target?: string) {\n if (target && URL.canParse(target)) {\n const protocol = new URL(target).protocol\n if (protocol === \"http:\" || protocol === \"https:\") {\n const progress = spinner()\n progress.start(\"Discovering authentication provider...\")\n yield* request((signal) => client.integration.wellknown.add({ url: target, location }, { signal })).pipe(\n Effect.tap(() => Effect.sync(() => progress.stop(\"Authentication provider discovered\"))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Discovery failed\", 1))),\n )\n }\n }\n const integrations = yield* loadIntegrations(client)\n if (target) return yield* resolveIntegration(integrations, target)\n const available = integrations\n .filter((integration) => connectMethods(integration).length > 0)\n .toSorted(\n (a, b) =>\n (integrationPriority.get(a.id) ?? integrationPriority.size) -\n (integrationPriority.get(b.id) ?? integrationPriority.size) ||\n a.name.localeCompare(b.name) ||\n a.id.localeCompare(b.id),\n )\n if (available.length === 0) return yield* Effect.fail(new Error(\"No authentication integrations are available\"))\n const id = yield* prompt<string>(() =>\n autocomplete({\n message: \"Select integration\",\n maxItems: 8,\n options: available.map((integration) => {\n const option = { value: integration.id, label: integration.name, hint: integration.id }\n if (integration.connections.length > 0) return { ...option, hint: \"connected\" }\n if (integration.id === \"opencode\") return { ...option, hint: \"recommended\" }\n return option\n }),\n }),\n )\n return yield* resolveIntegration(available, id)\n})\n\nconst chooseMethod = Effect.fn(\"cli.auth.login.method\")(function* (methods: ConnectMethod[], target?: string) {\n if (target) return yield* resolveMethod(methods, target)\n if (methods.length === 1) return methods[0]\n yield* requireInteractive(\"Pass --method when running without an interactive terminal\")\n const id = yield* prompt<string>(() =>\n select({\n message: \"Select login method\",\n options: methods.map((method) => {\n if (method.type === \"key\") return { value: \"key\", label: method.label ?? \"API key\" }\n return { value: method.id, label: method.label }\n }),\n }),\n )\n return yield* resolveMethod(methods, id)\n})\n\nconst authenticate = Effect.fn(\"cli.auth.login.authenticate\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: ConnectMethod,\n answer?: FormAnswer,\n) {\n if (method.type === \"key\") return yield* keyLogin(client, integration, method, answer)\n if (method.type === \"command\") return yield* commandLogin(client, integration, method)\n return yield* oauthLogin(client, integration, method, answer)\n})\n\nconst keyLogin = Effect.fn(\"cli.auth.login.key\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: Extract<ConnectMethod, { type: \"key\" }>,\n answer?: FormAnswer,\n) {\n const key = yield* secret(method.label ?? `Enter your ${integration.name} API key`)\n const progress = spinner()\n progress.start(\"Saving credential...\")\n yield* request((signal) =>\n client.integration.connect.key({ integrationID: integration.id, key, answer, location }, { signal }),\n ).pipe(\n Effect.tap(() => Effect.sync(() => progress.stop(`Connected to ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))),\n )\n})\n\nconst oauthLogin = Effect.fn(\"cli.auth.login.oauth\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: Extract<ConnectMethod, { type: \"oauth\" }>,\n answer?: FormAnswer,\n) {\n const progress = spinner()\n progress.start(\"Starting authorization...\")\n const started = yield* request((signal) =>\n client.integration.oauth.connect(\n { integrationID: integration.id, methodID: method.id, answer, location },\n { signal },\n ),\n ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n const attempt = started.data\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.oauth.cancel(\n { integrationID: integration.id, attemptID: attempt.attemptID, location },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n progress.stop(\"Authorization started\")\n log.info(attempt.instructions)\n log.info(attempt.url)\n if (process.stdin.isTTY && process.stdout.isTTY) yield* openUrl(attempt.url)\n\n if (attempt.mode === \"code\") {\n yield* requireInteractive(\"This login requires an interactive terminal to enter the authorization code\")\n const code = yield* prompt<string>(() =>\n text({ message: \"Paste the authorization code\", validate: (value) => (!value ? \"Required\" : undefined) }),\n )\n const completing = spinner()\n completing.start(\"Completing authorization...\")\n yield* request((signal) =>\n client.integration.oauth.complete(\n { integrationID: integration.id, attemptID: attempt.attemptID, code, location },\n { signal },\n ),\n ).pipe(\n Effect.tap(() => Effect.sync(() => completing.stop(`Connected to ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => completing.stop(\"Authentication failed\", 1))),\n )\n return\n }\n\n const waiting = spinner()\n waiting.start(\"Waiting for authorization...\")\n const status = yield* waitForOAuth(client, integration.id, attempt.attemptID).pipe(\n Effect.tapCause(() => Effect.sync(() => waiting.stop(\"Authentication failed\", 1))),\n )\n if (status.status === \"complete\") {\n waiting.stop(`Connected to ${integration.name}`)\n return\n }\n waiting.stop(\"Authentication failed\", 1)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n yield* Effect.fail(new Error(\"Authorization expired\"))\n})\n\nconst commandLogin = Effect.fn(\"cli.auth.login.command\")(function* (\n client: OpenCodeClient,\n integration: IntegrationInfo,\n method: Extract<ConnectMethod, { type: \"command\" }>,\n) {\n const progress = spinner()\n progress.start(\"Starting authentication command...\")\n const started = yield* request((signal) =>\n client.integration.command.connect({ integrationID: integration.id, methodID: method.id, location }, { signal }),\n ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.command.cancel(\n {\n integrationID: integration.id,\n attemptID: started.data.attemptID,\n location,\n },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n const status = yield* waitForCommand(client, integration.id, started.data.attemptID, (message) =>\n progress.message(message.trim() || \"Waiting for authentication command...\"),\n ).pipe(Effect.tapCause(() => Effect.sync(() => progress.stop(\"Authentication failed\", 1))))\n if (status.status === \"complete\") {\n progress.stop(`Connected to ${integration.name}`)\n return\n }\n progress.stop(\"Authentication failed\", 1)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n yield* Effect.fail(new Error(\"Authentication expired\"))\n})\n\nconst waitForOAuth = Effect.fn(\"cli.auth.login.oauth.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n yield* Effect.sleep(500)\n }\n})\n\nconst waitForCommand = Effect.fn(\"cli.auth.login.command.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n update: (message: string) => void,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.command.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n if (response.data.message) update(response.data.message)\n yield* Effect.sleep(500)\n }\n})\n" | ||
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| ||
| "debugId": "A7A6FCDA5A05252764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/remove.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Config } from \"../../../config\"\nimport { resolveConfigPath } from \"../mcp/add\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.remove,\n Effect.fn(\"cli.plugin.remove\")(function* (input) {\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n const server = yield* Effect.promise(() => removePluginConfig(configPath, input.package))\n const config = yield* Config.Service\n const info = yield* config.get()\n const tui = configured(info.plugins, input.package)\n if (tui)\n yield* config.update((draft) => {\n draft.plugins = draft.plugins?.filter((entry) => !matches(entry, input.package))\n })\n\n const removed = [server ? configPath : undefined, tui ? config.path : undefined].filter(\n (file) => file !== undefined,\n )\n process.stdout.write(\n removed.length\n ? `Plugin \"${input.package}\" removed from ${removed.join(\", \")}${EOL}`\n : `Plugin \"${input.package}\" is not configured${EOL}`,\n )\n }),\n)\n\nexport async function removePluginConfig(configPath: string, spec: string) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return undefined\n throw error\n })\n if (text === undefined) return false\n const errors: ParseError[] = []\n const config: unknown = parse(text, errors, { allowTrailingComma: true })\n if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n throw new Error(`Invalid global configuration: ${configPath}`)\n const plugins = \"plugins\" in config ? config.plugins : undefined\n if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n if (!configured(plugins, spec)) return false\n\n const updated = applyEdits(\n text,\n modify(\n text,\n [\"plugins\"],\n plugins?.filter((entry) => !matches(entry, spec)),\n {\n formattingOptions: { tabSize: 2, insertSpaces: true },\n },\n ),\n )\n const temporary = configPath + \".tmp\"\n await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n await rename(temporary, configPath)\n return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n return plugins?.some((entry) => matches(entry, spec)) ?? false\n}\n\nfunction matches(entry: unknown, spec: string) {\n return entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec)\n}\n" | ||
| ], | ||
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| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/partial-json-options.ts", "../ai/src/protocols/utils/partial-json.ts", "../ai/src/protocols/utils/tool-stream.ts"], | ||
| "sourcesContent": [ | ||
| "/*\n * Adapted from partial-json by the Promplate Dev Team:\n * https://github.com/promplate/partial-json-parser-js/blob/main/src/options.ts\n * Licensed under the MIT License; see partial-json.ts for the complete notice.\n */\n\n/**\n * allow partial strings like `\"hello \\u12` to be parsed as `\"hello `\n */\nexport const STR = 0b000000001\n\n/**\n * allow partial numbers like `123.` to be parsed as `123`\n */\nexport const NUM = 0b000000010\n\n/**\n * allow partial arrays like `[1, 2,` to be parsed as `[1, 2]`\n */\nexport const ARR = 0b000000100\n\n/**\n * allow partial objects like `{\"a\": 1, \"b\":` to be parsed as `{\"a\": 1}`\n */\nexport const OBJ = 0b000001000\n\n/**\n * allow `nu` to be parsed as `null`\n */\nexport const NULL = 0b000010000\n\n/**\n * allow `tr` to be parsed as `true`, and `fa` to be parsed as `false`\n */\nexport const BOOL = 0b000100000\n\n/**\n * allow `Na` to be parsed as `NaN`\n */\nexport const NAN = 0b001000000\n\n/**\n * allow `Inf` to be parsed as `Infinity`\n */\nexport const INFINITY = 0b010000000\n\n/**\n * allow `-Inf` to be parsed as `-Infinity`\n */\nexport const _INFINITY = 0b100000000\n\nexport const INF = INFINITY | _INFINITY\nexport const SPECIAL = NULL | BOOL | INF | NAN\nexport const ATOM = STR | NUM | SPECIAL\nexport const COLLECTION = ARR | OBJ\nexport const ALL = ATOM | COLLECTION\n\n/**\n * Control what types you allow to be partially parsed.\n * The default is to allow all types to be partially parsed, which in most cases is the best option.\n */\nexport const Allow = { STR, NUM, ARR, OBJ, NULL, BOOL, NAN, INFINITY, _INFINITY, INF, SPECIAL, ATOM, COLLECTION, ALL }\n\nexport default Allow\n", | ||
| "/*\n * Adapted from partial-json by the Promplate Dev Team:\n * https://github.com/promplate/partial-json-parser-js\n *\n * MIT License\n *\n * Copyright (c) 2023 Promplate Dev Team\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in all\n * copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n * SOFTWARE.\n */\n\nimport { Schema } from \"effect\"\nimport { Allow } from \"./partial-json-options.js\"\nexport * from \"./partial-json-options.js\"\n\nexport class PartialJSON extends Error {}\nexport class MalformedJSON extends Error {}\n\nconst decodeJson = Schema.decodeUnknownSync(Schema.fromJsonString(Schema.Unknown))\n\n/** Parse complete or incomplete JSON, restricted by the supplied partial-value flags. */\nexport function parseJSON(jsonString: string, allowPartial = Allow.ALL): unknown {\n if (typeof jsonString !== \"string\") throw new TypeError(`expecting str, got ${typeof jsonString}`)\n const input = jsonString.trim()\n if (!input) throw new Error(`${jsonString} is empty`)\n try {\n return decodeJson(input)\n } catch {}\n\n const repaired = repairJSON(input)\n if (repaired !== input) {\n try {\n return decodeJson(repaired)\n } catch {}\n }\n\n try {\n return _parseJSON(input, allowPartial)\n } catch (error) {\n if (repaired !== input) return _parseJSON(repaired, allowPartial)\n throw error\n }\n}\n\nconst repairJSON = (input: string) => {\n let repaired = \"\"\n let quoted = false\n\n for (let index = 0; index < input.length; index++) {\n const character = input[index]\n if (!quoted) {\n repaired += character\n if (character === '\"') quoted = true\n continue\n }\n\n if (character === '\"') {\n repaired += character\n quoted = false\n continue\n }\n\n if (character === \"\\\\\") {\n const next = input[index + 1]\n if (next === \"u\" && /^[0-9a-fA-F]{4}$/.test(input.slice(index + 2, index + 6))) {\n repaired += input.slice(index, index + 6)\n index += 5\n continue\n }\n if (next !== undefined && '\"\\\\/bfnrtu'.includes(next)) {\n repaired += `\\\\${next}`\n index++\n continue\n }\n repaired += \"\\\\\\\\\"\n continue\n }\n\n const code = character.charCodeAt(0)\n repaired += code <= 0x1f ? `\\\\u${code.toString(16).padStart(4, \"0\")}` : character\n }\n\n return repaired\n}\n\nconst _parseJSON = (jsonString: string, allow: number) => {\n const length = jsonString.length\n let index = 0\n\n const markPartialJSON = (message: string): never => {\n throw new PartialJSON(`${message} at position ${index}`)\n }\n\n const throwMalformedError = (message: string): never => {\n throw new MalformedJSON(`${message} at position ${index}`)\n }\n\n const parseAny = (): unknown => {\n skipBlank()\n if (index >= length) markPartialJSON(\"Unexpected end of input\")\n if (jsonString[index] === '\"') return parseStr()\n if (jsonString[index] === \"{\") return parseObj()\n if (jsonString[index] === \"[\") return parseArr()\n if (\n jsonString.substring(index, index + 4) === \"null\" ||\n (Allow.NULL & allow && length - index < 4 && \"null\".startsWith(jsonString.substring(index)))\n ) {\n index += 4\n return null\n }\n if (\n jsonString.substring(index, index + 4) === \"true\" ||\n (Allow.BOOL & allow && length - index < 4 && \"true\".startsWith(jsonString.substring(index)))\n ) {\n index += 4\n return true\n }\n if (\n jsonString.substring(index, index + 5) === \"false\" ||\n (Allow.BOOL & allow && length - index < 5 && \"false\".startsWith(jsonString.substring(index)))\n ) {\n index += 5\n return false\n }\n if (\n jsonString.substring(index, index + 8) === \"Infinity\" ||\n (Allow.INFINITY & allow && length - index < 8 && \"Infinity\".startsWith(jsonString.substring(index)))\n ) {\n index += 8\n return Infinity\n }\n if (\n jsonString.substring(index, index + 9) === \"-Infinity\" ||\n (Allow._INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n \"-Infinity\".startsWith(jsonString.substring(index)))\n ) {\n index += 9\n return -Infinity\n }\n if (\n jsonString.substring(index, index + 3) === \"NaN\" ||\n (Allow.NAN & allow && length - index < 3 && \"NaN\".startsWith(jsonString.substring(index)))\n ) {\n index += 3\n return NaN\n }\n return parseNum()\n }\n\n const parseStr = (): string => {\n const start = index\n let escape = false\n index++\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === \"\\\\\"))) {\n escape = jsonString[index] === \"\\\\\" ? !escape : false\n index++\n }\n if (jsonString.charAt(index) === '\"') {\n try {\n return decodeJson(jsonString.substring(start, ++index - Number(escape))) as string\n } catch (error) {\n throwMalformedError(String(error))\n }\n }\n if (Allow.STR & allow) {\n try {\n return decodeJson(`${jsonString.substring(start, index - Number(escape))}\"`) as string\n } catch {\n return decodeJson(`${jsonString.substring(start, jsonString.lastIndexOf(\"\\\\\"))}\"`) as string\n }\n }\n return markPartialJSON(\"Unterminated string literal\")\n }\n\n const parseObj = (): Record<string, unknown> => {\n index++\n skipBlank()\n const object: Record<string, unknown> = {}\n try {\n while (jsonString[index] !== \"}\") {\n skipBlank()\n if (index >= length && Allow.OBJ & allow) return object\n const key = parseStr()\n skipBlank()\n index++\n try {\n Object.defineProperty(object, key, {\n value: parseAny(),\n enumerable: true,\n configurable: true,\n writable: true,\n })\n } catch (error) {\n if (Allow.OBJ & allow) return object\n throw error\n }\n skipBlank()\n if (jsonString[index] === \",\") index++\n }\n } catch {\n if (Allow.OBJ & allow) return object\n return markPartialJSON(\"Expected '}' at end of object\")\n }\n index++\n return object\n }\n\n const parseArr = (): unknown[] => {\n index++\n const array: unknown[] = []\n try {\n while (jsonString[index] !== \"]\") {\n array.push(parseAny())\n skipBlank()\n if (jsonString[index] === \",\") index++\n }\n } catch {\n if (Allow.ARR & allow) return array\n return markPartialJSON(\"Expected ']' at end of array\")\n }\n index++\n return array\n }\n\n const parseNum = (): unknown => {\n if (index === 0) {\n if (jsonString === \"-\") throwMalformedError(\"Not sure what '-' is\")\n try {\n return decodeJson(jsonString)\n } catch (error) {\n if (Allow.NUM & allow) {\n try {\n return decodeJson(jsonString.substring(0, jsonString.lastIndexOf(\"e\")))\n } catch {}\n }\n throwMalformedError(String(error))\n }\n }\n\n const start = index\n if (jsonString[index] === \"-\") index++\n while (jsonString[index] && !\",]}\".includes(jsonString[index])) index++\n if (index === length && !(Allow.NUM & allow)) markPartialJSON(\"Unterminated number literal\")\n\n try {\n return decodeJson(jsonString.substring(start, index))\n } catch (error) {\n if (jsonString.substring(start, index) === \"-\") markPartialJSON(\"Not sure what '-' is\")\n try {\n return decodeJson(jsonString.substring(start, jsonString.lastIndexOf(\"e\")))\n } catch {\n throwMalformedError(String(error))\n }\n }\n }\n\n const skipBlank = () => {\n while (index < length && \" \\n\\r\\t\".includes(jsonString[index])) index++\n }\n\n return parseAny()\n}\n\nexport const parse = parseJSON\n", | ||
| "import { Effect, Option } from \"effect\"\nimport { AIError, LLMEvent, type ProviderMetadata, type ToolCall } from \"../../schema/index.js\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared.js\"\nimport { parse } from \"./partial-json.js\"\n\ntype StreamKey = string | number\nconst parsePartialInput = Option.liftThrowable(parse)\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 input: Option.getOrElse(parsePartialInput(tool.input), () => ({})),\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.catch((error) =>\n tool.providerExecuted\n ? Effect.fail(error)\n : Effect.succeed(\n Option.getOrElse(\n Option.map(parsePartialInput(raw), (input) => input ?? {}),\n () => ({}),\n ),\n ),\n ),\n Effect.map(\n (input): ToolCall =>\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 )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall): ReadonlyArray<LLMEvent> => [\n LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),\n event,\n]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: PendingTool,\n text: string,\n): AppendOutcome<K> => {\n const events: LLMEvent[] = []\n if (!tools[key]) events.push(inputStart(tool))\n if (text.length > 0) events.push(inputDelta(tool, text))\n return {\n tools: withTool(tools, key, tool),\n tool,\n events,\n }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | AIError): result is AIError =>\n result instanceof AIError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n delta: { readonly id?: string; readonly name?: string; readonly text: string },\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n const id = current?.id ?? delta.id\n const name = current?.name ?? delta.name\n if (!id || !name) return eventError(route, missingToolMessage)\n\n const tool = {\n id,\n name,\n input: `${current?.input ?? \"\"}${delta.text}`,\n providerExecuted: current?.providerExecuted,\n providerMetadata: current?.providerMetadata,\n }\n if (current && delta.text.length === 0 && current.id === id && current.name === name)\n return { tools, tool: current, events: [] }\n return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n text: string,\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n if (!current) return eventError(route, missingToolMessage)\n if (text.length === 0) return { tools, tool: current, events: [] }\n return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and recover incomplete local arguments when needed.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool)),\n }\n })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool, input)),\n }\n })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n Effect.gen(function* () {\n const pending = Object.values<PendingTool | undefined>(tools).filter(\n (tool): tool is PendingTool => tool !== undefined,\n )\n return {\n tools: empty<K>(),\n events: yield* Effect.forEach(pending, (tool) =>\n toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n ).pipe(Effect.map((events) => events.flat())),\n }\n })\n\nexport * as ToolStream from \"./tool-stream.js\"\n" | ||
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| "debugId": "2DAAB90CBA7C145764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "DC98880B634B0D9964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/import.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Session } from \"@opencode-ai/schema/session\"\nimport { SessionTransfer } from \"@opencode-ai/schema/session-transfer\"\nimport { Effect, Option, Schema } from \"effect\"\nimport { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n Commands.commands.import,\n Effect.fn(\"cli.import\")(function* (input) {\n const text = yield* Effect.tryPromise({\n try: () =>\n input.file.startsWith(\"http://\") || input.file.startsWith(\"https://\")\n ? fetch(input.file).then((response) => {\n if (!response.ok) throw new Error(`Failed to fetch session data: ${response.statusText}`)\n return response.text()\n })\n : Bun.file(input.file).text(),\n catch: (cause) =>\n new Error(`Failed to read session data: ${cause instanceof Error ? cause.message : String(cause)}`),\n })\n const data = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(SessionTransfer.Data))(text)\n const encoded = Schema.encodeSync(SessionTransfer.Data)(data)\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const location = yield* Effect.promise(() =>\n client.location.get({\n location: { directory: path.resolve(Option.getOrElse(input.directory, () => process.cwd())) },\n }),\n )\n const response = yield* Effect.promise(() =>\n fetch(new URL(\"/api/session/import\", server.endpoint.url), {\n method: \"POST\",\n headers: { ...Service.headers(server.endpoint), \"content-type\": \"application/json\" },\n body: JSON.stringify({\n ...encoded,\n location: { directory: location.directory, workspaceID: location.workspaceID },\n }),\n }),\n )\n if (response.status === 409) {\n process.stderr.write(`Session already exists${EOL}`)\n return\n }\n if (!response.ok) yield* Effect.fail(new Error(`Failed to import session: ${response.statusText}`))\n const imported = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Schema.Struct({ data: Session.Info })))(\n yield* Effect.promise(() => response.text()),\n )\n process.stdout.write(`Imported session: ${imported.data.id}${EOL}`)\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/unset.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.unset,\n Effect.fn(\"cli.service.unset\")(function* (input) {\n yield* ServiceConfig.unset(input.key, Option.getOrUndefined(input.name))\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderID, type LLMRequest, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport interface GeminiOptionsInput extends Gemini.OptionsInput {\n readonly labels?: Readonly<Record<string, string>>\n}\n\nexport type GeminiProviderOptionsInput = GeminiOptionsInput\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.ApiKeyOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: GeminiProviderOptionsInput\n }\n\nexport type Settings = ProviderPackage.Settings &\n (\n | { readonly accessToken?: string; readonly apiKey?: never }\n | { readonly accessToken?: never; readonly apiKey?: string }\n ) & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: GeminiProviderOptionsInput\n }\n\nconst fromRequest = Effect.fn(\"GoogleVertex.fromRequest\")(function* (request: LLMRequest) {\n const body = yield* Gemini.protocol.body.from(request)\n // Vertex's native REST schema rejects `id` on FunctionCall/FunctionResponse parts with HTTP 400,\n // unlike AI Studio, so history minted there cannot be lowered verbatim.\n const contents = body.contents.map((content) => ({\n ...content,\n parts: (content.parts ?? []).map((part) => {\n if (\"functionCall\" in part) return { ...part, functionCall: { ...part.functionCall, id: undefined } }\n if (\"functionResponse\" in part) return { ...part, functionResponse: { ...part.functionResponse, id: undefined } }\n return part\n }),\n }))\n const value = request.providerOptions?.labels\n const labels = ProviderShared.isRecord(value)\n ? Object.fromEntries(\n Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === \"string\"),\n )\n : undefined\n return { ...body, contents, labels }\n})\n\nconst protocol = {\n ...Gemini.protocol,\n body: {\n ...Gemini.protocol.body,\n from: fromRequest,\n },\n}\n\nconst route = Route.make({\n id: \"google-vertex-gemini\",\n provider: id,\n providerMetadataKey: \"google\",\n protocol,\n endpoint: Endpoint.path(({ request }) => {\n const model = String(request.model.id)\n return `/${model.startsWith(\"endpoints/\") ? model : `models/${model}`}:streamGenerateContent?alt=sse`\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config, modelID: string | ModelID) => {\n const {\n accessToken: _accessToken,\n apiKey: _apiKey,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const apiKey = GoogleVertexShared.apiKey(input)\n const endpointModel = String(modelID).startsWith(\"endpoints/\")\n if (apiKey !== undefined && endpointModel)\n throw new Error(\"Google Vertex tuned models do not support Express Mode API keys\")\n const location = GoogleVertexShared.location(inputLocation, \"us-central1\")\n const project = GoogleVertexShared.project(inputProject)\n const endpoint =\n baseURL ??\n (apiKey\n ? \"https://aiplatform.googleapis.com/v1/publishers/google\"\n : `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? \"\" : \"/publishers/google\"}`)\n return route.with({\n ...rest,\n endpoint: { baseURL: endpoint },\n auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header(\"x-goog-api-key\", apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n return {\n id,\n model: (modelID: string | ModelID) =>\n configuredRoute(input, modelID).model<GeminiProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\nexport const model: ProviderPackage.Definition<Settings, GeminiProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n if (settings.apiKey !== undefined && settings.accessToken !== undefined)\n throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n return configure({\n ...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { apiKey: settings.apiKey }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/gemini.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n LLMEvent,\n Usage,\n type FinishReason,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ProviderMetadata,\n type TextPart,\n type ToolCallPart,\n type ToolDefinition,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\n\nconst ADAPTER = \"gemini\"\n// Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.\nconst SKIP_THOUGHT_SIGNATURE_VALIDATOR = \"skip_thought_signature_validator\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\n// Gemini 3 rejects replayed function calls without a thought signature. Google's SDKs avoid that in normal chats by\n// retaining complete model responses, but OpenCode reconstructs durable history and may encounter an unsigned call\n// from an older or external session. Model IDs are open-ended, so unknown Gemini aliases inherit current behavior.\nconst requiresThoughtSignatureFallback = (modelID: string) => {\n if (!/(^|\\/)gemini-/i.test(modelID)) return false\n if (/(^|\\/)gemini-(?:1|2)(?:[.-]|$)/i.test(modelID)) return false\n if (/(^|\\/)gemini-pro(?:-vision)?$/i.test(modelID)) return false\n return !/(^|\\/)gemini-robotics-er-1\\.5(?:[.-]|$)/i.test(modelID)\n}\n\n// Gemini 3 accepts media nested inside function responses; matched Gemini 2.5 variants reject it,\n// so their tool-result attachments lower as a separate user turn instead.\nconst routesLegacyToolMedia = (modelID: string) => /gemini-2[.-]5(?:[.-]|$)/i.test(modelID)\n\n// Blacklist: Gemini 1.x/2.x ignore or reject explicit function call ids.\n// Every other model id (Gemini 3+, gemma, anything unrecognized) gets them.\nconst omitsFunctionCallIds = (modelID: string) => {\n const match = /^gemini(?:-live)?-(\\d+)/i.exec(modelID)\n return match !== null && Number(match[1]) < 3\n}\n\nexport interface OptionsInput {\n readonly [key: string]: unknown\n readonly cachedContent?: string\n readonly safetySettings?: ReadonlyArray<{\n readonly category:\n | \"HARM_CATEGORY_UNSPECIFIED\"\n | \"HARM_CATEGORY_HATE_SPEECH\"\n | \"HARM_CATEGORY_DANGEROUS_CONTENT\"\n | \"HARM_CATEGORY_HARASSMENT\"\n | \"HARM_CATEGORY_SEXUALLY_EXPLICIT\"\n | \"HARM_CATEGORY_CIVIC_INTEGRITY\"\n | (string & {})\n readonly threshold:\n | \"HARM_BLOCK_THRESHOLD_UNSPECIFIED\"\n | \"BLOCK_LOW_AND_ABOVE\"\n | \"BLOCK_MEDIUM_AND_ABOVE\"\n | \"BLOCK_ONLY_HIGH\"\n | \"BLOCK_NONE\"\n | \"OFF\"\n | (string & {})\n }>\n readonly serviceTier?: \"standard\" | \"flex\" | \"priority\" | (string & {})\n readonly thinkingConfig?: {\n readonly thinkingBudget?: number\n readonly includeThoughts?: boolean\n readonly thinkingLevel?: \"minimal\" | \"low\" | \"medium\" | \"high\" | (string & {})\n }\n}\n\nexport type ProviderOptionsInput = OptionsInput\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\n// Gemini is known to send explicit `null` for optional streaming fields\n// (usage counts, flags, whole subtrees), so every response-side optional uses\n// `optionalNull` instead of bare `Schema.optional`. The same part/content\n// schemas lower the outbound request body; encoding drops `undefined` keys,\n// so the shared schemas stay safe there.\nconst GeminiTextPart = Schema.Struct({\n text: Schema.String,\n thought: optionalNull(Schema.Boolean),\n thoughtSignature: optionalNull(Schema.String),\n})\n\nconst GeminiInlineDataPart = Schema.Struct({\n inlineData: Schema.Struct({\n mimeType: Schema.String,\n data: Schema.String,\n }),\n})\ntype GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>\n\nconst GeminiFunctionCallPart = Schema.Struct({\n functionCall: Schema.Struct({\n id: optionalNull(Schema.String),\n name: Schema.String,\n args: Schema.optional(Schema.Unknown),\n }),\n thoughtSignature: optionalNull(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n functionResponse: Schema.Struct({\n id: Schema.optional(Schema.String),\n name: Schema.String,\n response: Schema.Unknown,\n parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),\n }),\n})\n\nconst GeminiContentPart = Schema.Union([\n GeminiTextPart,\n GeminiInlineDataPart,\n GeminiFunctionCallPart,\n GeminiFunctionResponsePart,\n])\nconst decodeGeminiContentPart = Schema.decodeUnknownOption(GeminiContentPart)\n\nconst GeminiContent = Schema.Struct({\n role: optionalNull(Schema.Literals([\"user\", \"model\"])),\n parts: optionalNull(Schema.Array(GeminiContentPart)),\n})\ntype GeminiContent = Schema.Schema.Type<typeof GeminiContent>\n\nconst GeminiResponseContent = Schema.Struct({\n role: optionalNull(Schema.Literals([\"user\", \"model\"])),\n parts: optionalNull(Schema.Array(Schema.Unknown)),\n})\n\nconst GeminiSystemInstruction = Schema.Struct({\n parts: Schema.Array(Schema.Struct({ text: Schema.String })),\n})\n\nconst GeminiFunctionDeclaration = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n parameters: Schema.optional(JsonObject),\n})\n\nconst GeminiTool = Schema.Struct({\n functionDeclarations: Schema.Array(GeminiFunctionDeclaration),\n})\n\nconst GeminiToolConfig = Schema.Struct({\n functionCallingConfig: Schema.Struct({\n mode: Schema.Literals([\"AUTO\", \"NONE\", \"ANY\"]),\n allowedFunctionNames: optionalArray(Schema.String),\n }),\n})\n\nconst GeminiThinkingConfig = Schema.Struct({\n thinkingBudget: Schema.optional(Schema.Number),\n includeThoughts: Schema.optional(Schema.Boolean),\n thinkingLevel: Schema.optional(Schema.String),\n})\n\nconst GeminiSafetySetting = Schema.Struct({\n category: Schema.String,\n threshold: Schema.String,\n})\n\nconst GeminiGenerationConfig = Schema.Struct({\n maxOutputTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n topK: Schema.optional(Schema.Number),\n frequencyPenalty: Schema.optional(Schema.Number),\n presencePenalty: Schema.optional(Schema.Number),\n seed: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n cachedContent: Schema.optional(Schema.String),\n contents: Schema.Array(GeminiContent),\n labels: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n safetySettings: optionalArray(GeminiSafetySetting),\n serviceTier: Schema.optional(Schema.String),\n systemInstruction: Schema.optional(GeminiSystemInstruction),\n tools: optionalArray(GeminiTool),\n toolConfig: Schema.optional(GeminiToolConfig),\n generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n cachedContentTokenCount: optionalNull(Schema.Number),\n thoughtsTokenCount: optionalNull(Schema.Number),\n promptTokenCount: optionalNull(Schema.Number),\n candidatesTokenCount: optionalNull(Schema.Number),\n totalTokenCount: optionalNull(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n content: optionalNull(GeminiResponseContent),\n finishReason: optionalNull(Schema.String),\n})\n\nconst GeminiPromptFeedback = Schema.StructWithRest(\n Schema.Struct({\n blockReason: optionalNull(Schema.String),\n blockReasonMessage: optionalNull(Schema.String),\n safetyRatings: optionalNull(Schema.Unknown),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype GeminiPromptFeedback = Schema.Schema.Type<typeof GeminiPromptFeedback>\n\nconst GeminiEvent = Schema.Struct({\n candidates: optionalNull(Schema.Array(GeminiCandidate)),\n promptFeedback: optionalNull(GeminiPromptFeedback),\n usageMetadata: optionalNull(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n readonly route: string\n readonly finishReason?: string\n readonly hasToolCalls: boolean\n readonly promptFeedback?: GeminiPromptFeedback\n readonly usage?: Usage\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignature?: string\n readonly textSignature?: string\n readonly seenCallIds?: ReadonlySet<string>\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n// enums (must be strings), `required` entries that don't match a property,\n// untyped arrays (`items` must be present), and `properties`/`required`\n// keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n// drop empty root parameter schemas while preserving nested empty objects,\n// expand type arrays into `anyOf`, derive `nullable: true` from null members,\n// coerce `const` to `[const]` enum, recurse properties/items, and propagate\n// only an allowlisted set of keys (description, required, format, type,\n// nullable, enum, properties, items, allOf, anyOf, oneOf, minLength).\n// Anything outside the allowlist (e.g. `additionalProperties`, `$ref`) is\n// silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n name: tool.name,\n description: tool.description,\n parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n if (part.type === \"text\") return { text: part.text }\n const media = ProviderShared.normalizeMedia(part)\n return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n const google = providerMetadata?.google\n return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n ? google.thoughtSignature\n : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart, omitIds: boolean) => ({\n functionCall: { ...(omitIds ? {} : { id: part.id }), 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 const omitCallIds = omitsFunctionCallIds(request.model.id)\n const legacyToolMedia = routesLegacyToolMedia(request.model.id)\n let pendingMedia: GeminiInlineDataPart[] | undefined\n const flushMedia = () => {\n if (!pendingMedia) return\n contents.push({ role: \"user\", parts: [{ text: \"Attached media from tool result:\" }, ...pendingMedia] })\n pendingMedia = undefined\n }\n\n for (const message of request.messages) {\n if (message.role !== \"tool\") flushMedia()\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Gemini\", message)\n const previous = contents.at(-1)\n // Gemini rejects a continuation whose function-response turn carries extra\n // parts, so an update after a tool result starts its own user turn.\n if (previous?.role === \"user\" && !(previous.parts ?? []).some((item) => \"functionResponse\" in item))\n contents[contents.length - 1] = { role: \"user\", parts: [...(previous.parts ?? []), { text: part.text }] }\n else contents.push({ role: \"user\", parts: [{ text: part.text }] })\n continue\n }\n\n if (message.role === \"user\") {\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"user\", [\"text\", \"media\"])\n parts.push(yield* lowerUserPart(part))\n }\n contents.push({ role: \"user\", parts })\n continue\n }\n\n if (message.role === \"assistant\") {\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n // Parallel Gemini 3 calls may carry one signature on the first call; unsigned sibling calls are valid.\n let hasSignedToolCall = false\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n if (part.type === \"text\") {\n parts.push({ text: part.text, thoughtSignature: thoughtSignature(part.providerMetadata) })\n continue\n }\n if (part.type === \"reasoning\") {\n parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n continue\n }\n if (part.type === \"tool-call\") {\n const lowered = lowerToolCall(part, omitCallIds)\n const signature = lowered.thoughtSignature\n parts.push({\n ...lowered,\n thoughtSignature:\n signature ??\n (requiresThoughtSignatureFallback(request.model.id) && !hasSignedToolCall\n ? SKIP_THOUGHT_SIGNATURE_VALIDATOR\n : undefined),\n })\n if (signature !== undefined) hasSignedToolCall = true\n continue\n }\n }\n contents.push({ role: \"model\", parts })\n continue\n }\n\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n if (part.result.type !== \"content\") {\n parts.push({\n functionResponse: {\n ...(omitCallIds ? {} : { id: part.id }),\n name: part.name,\n response: {\n name: part.name,\n content: ProviderShared.toolResultText(part),\n },\n },\n })\n continue\n }\n const content: ReadonlyArray<Tool.Content> = part.result.value\n const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n const media: GeminiInlineDataPart[] = []\n for (const item of content) {\n if (item.type === \"text\") continue\n const value = ProviderShared.normalizeToolFile(item)\n media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })\n }\n if (legacyToolMedia && media.length > 0) (pendingMedia ??= []).push(...media)\n parts.push({\n functionResponse: {\n ...(omitCallIds ? {} : { id: part.id }),\n name: part.name,\n response: {\n name: part.name,\n content: text.join(\"\\n\"),\n },\n parts: legacyToolMedia || media.length === 0 ? undefined : media,\n },\n })\n }\n // Gemini requires every response to a parallel call batch in one user turn,\n // so consecutive tool results join the open function-response turn.\n const previous = contents.at(-1)\n if (previous?.role === \"user\" && (previous.parts ?? []).some((item) => \"functionResponse\" in item))\n contents[contents.length - 1] = { role: \"user\", parts: [...(previous.parts ?? []), ...parts] }\n else contents.push({ role: \"user\", parts })\n }\n\n flushMedia()\n return contents\n})\n\nconst resolveOptions = (request: LLMRequest) => {\n const input = request.providerOptions\n const value = input?.thinkingConfig\n const thinkingConfig = {\n thinkingBudget:\n ProviderShared.isRecord(value) && typeof value.thinkingBudget === \"number\" ? value.thinkingBudget : undefined,\n includeThoughts:\n ProviderShared.isRecord(value) && typeof value.includeThoughts === \"boolean\"\n ? value.includeThoughts\n : ProviderShared.isRecord(value)\n ? true\n : undefined,\n thinkingLevel:\n ProviderShared.isRecord(value) && typeof value.thinkingLevel === \"string\" ? value.thinkingLevel : undefined,\n }\n return {\n cachedContent: typeof input?.cachedContent === \"string\" ? input.cachedContent : undefined,\n safetySettings: mapSafetySettings(input?.safetySettings),\n serviceTier: typeof input?.serviceTier === \"string\" ? input.serviceTier : undefined,\n thinkingConfig: Object.values(thinkingConfig).some((item) => item !== undefined) ? thinkingConfig : undefined,\n }\n}\n\nfunction mapSafetySettings(value: unknown) {\n if (!Array.isArray(value)) return undefined\n const settings = value.flatMap((item) =>\n ProviderShared.isRecord(item) && typeof item.category === \"string\" && typeof item.threshold === \"string\"\n ? [{ category: item.category, threshold: item.threshold }]\n : [],\n )\n return settings\n}\n\nconst fromRequest = Effect.fn(\"Gemini.fromRequest\")(function* (request: LLMRequest) {\n const hasTools = request.tools.length > 0\n const generation = request.generation\n const options = resolveOptions(request)\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n const generationConfig = {\n maxOutputTokens: generation?.maxTokens,\n temperature: generation?.temperature,\n topP: generation?.topP,\n topK: generation?.topK,\n frequencyPenalty: generation?.frequencyPenalty,\n presencePenalty: generation?.presencePenalty,\n seed: generation?.seed,\n stopSequences: generation?.stop,\n thinkingConfig: options.thinkingConfig,\n }\n\n return {\n cachedContent: options.cachedContent,\n contents: yield* lowerMessages(request),\n safetySettings: options.safetySettings,\n serviceTier: options.serviceTier,\n systemInstruction:\n request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },\n tools: hasTools\n ? [\n {\n functionDeclarations: request.tools.map((tool) =>\n lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n ),\n },\n ]\n : undefined,\n toolConfig: hasTools && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,\n generationConfig: Object.values(generationConfig).some((value) => value !== undefined)\n ? generationConfig\n : undefined,\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Gemini reports `promptTokenCount` (inclusive total) with a\n// `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*\n// of `thoughtsTokenCount` — visible-only, not a total — so we sum the two\n// to produce the inclusive `outputTokens` the rest of the contract expects.\nconst mapUsage = (usage: GeminiUsage | undefined) => {\n if (!usage) return undefined\n // Explicit provider nulls decode as `null`; normalize to `undefined` so the\n // token arithmetic below treats them like absent counts.\n const promptTokens = usage.promptTokenCount ?? undefined\n const cached = usage.cachedContentTokenCount ?? undefined\n const thoughts = usage.thoughtsTokenCount ?? undefined\n const visible = usage.candidatesTokenCount ?? undefined\n const nonCached = ProviderShared.subtractTokens(promptTokens, 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 = visible !== undefined ? visible + (thoughts ?? 0) : undefined\n return new Usage({\n inputTokens: promptTokens,\n outputTokens,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cached,\n reasoningTokens: thoughts,\n totalTokens: ProviderShared.totalTokens(promptTokens, outputTokens, usage.totalTokenCount ?? undefined),\n providerMetadata: { google: usage },\n })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n if (finishReason === undefined) return hasToolCalls ? \"tool-calls\" : \"unknown\"\n if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n if (finishReason === \"MAX_TOKENS\") return \"length\"\n if (\n finishReason === \"IMAGE_SAFETY\" ||\n finishReason === \"RECITATION\" ||\n finishReason === \"SAFETY\" ||\n finishReason === \"BLOCKLIST\" ||\n finishReason === \"PROHIBITED_CONTENT\" ||\n finishReason === \"SPII\" ||\n finishReason === \"MODEL_ARMOR\" ||\n finishReason === \"IMAGE_PROHIBITED_CONTENT\" ||\n finishReason === \"IMAGE_RECITATION\" ||\n finishReason === \"LANGUAGE\"\n )\n return \"content-filter\"\n if (\n finishReason === \"MALFORMED_FUNCTION_CALL\" ||\n finishReason === \"UNEXPECTED_TOOL_CALL\" ||\n finishReason === \"NO_IMAGE\" ||\n finishReason === \"TOO_MANY_TOOL_CALLS\" ||\n finishReason === \"MISSING_THOUGHT_SIGNATURE\" ||\n finishReason === \"MALFORMED_RESPONSE\"\n )\n return \"error\"\n return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> => {\n // `?? undefined` normalizes an explicit `null` blockReason back to absent so\n // the \"nothing to finish\" check below keeps its meaning.\n const promptBlockReason =\n state.finishReason === undefined ? (state.promptFeedback?.blockReason ?? undefined) : undefined\n const finishReason = state.finishReason ?? promptBlockReason\n if (finishReason === undefined && state.usage === undefined) return []\n\n const events: LLMEvent[] = []\n let lifecycle = state.lifecycle\n if (state.reasoningSignature !== undefined)\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n googleMetadata({ thoughtSignature: state.reasoningSignature }),\n )\n if (state.textSignature !== undefined)\n lifecycle = Lifecycle.textEnd(lifecycle, events, \"text-0\", googleMetadata({ thoughtSignature: state.textSignature }))\n Lifecycle.finish(lifecycle, events, {\n reason: {\n normalized:\n promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : \"content-filter\",\n raw: finishReason,\n },\n usage: state.usage,\n providerMetadata:\n state.promptFeedback === undefined ? undefined : googleMetadata({ promptFeedback: state.promptFeedback }),\n })\n return events\n}\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n const nextState = {\n ...state,\n promptFeedback: event.promptFeedback ?? state.promptFeedback,\n usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n }\n const candidate = event.candidates?.[0]\n if (!candidate?.content)\n return Effect.succeed([\n { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n [],\n ] as const)\n\n const events: LLMEvent[] = []\n let hasToolCalls = nextState.hasToolCalls\n let lifecycle = nextState.lifecycle\n let reasoningSignature = nextState.reasoningSignature\n let textSignature = nextState.textSignature\n // Supplier ids must be tracked across chunks of the same response, not just within one event's parts.\n const seenCallIds = new Set(nextState.seenCallIds)\n\n for (const input of candidate.content.parts ?? []) {\n if (\n ProviderShared.isRecord(input) &&\n !(\"text\" in input) &&\n !(\"inlineData\" in input) &&\n !(\"functionCall\" in input) &&\n !(\"functionResponse\" in input)\n )\n continue\n const decoded = decodeGeminiContentPart(input)\n if (Option.isNone(decoded))\n return Effect.fail(\n ProviderShared.eventError(ADAPTER, `Invalid ${state.route} stream event`, ProviderShared.encodeJson(event)),\n )\n const part = decoded.value\n const signature = \"thoughtSignature\" in part && part.thoughtSignature ? part.thoughtSignature : undefined\n // Gemini attaches replay signatures to thought parts, visible text, or function calls;\n // each block kind must retain the signature attached to its own parts.\n if (signature !== undefined && \"thought\" in part && part.thought) reasoningSignature = signature\n else if (signature !== undefined && \"text\" in part) textSignature = signature\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 signature ? googleMetadata({ thoughtSignature: signature }) : 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(\n lifecycle,\n events,\n \"text-0\",\n part.text,\n textSignature ? googleMetadata({ thoughtSignature: textSignature }) : undefined,\n )\n textSignature = undefined\n continue\n }\n\n if (\"functionCall\" in part) {\n const input = part.functionCall.args === undefined ? {} : part.functionCall.args\n // Gemini 2.0+ supplies a unique function call ID on the part; when omitted (e.g. Gemini 1.5),\n // generate a globally unique ID rather than a per-request counter to prevent cross-request collisions in downstream registries.\n // A repeated supplier id would replay as two identical calls, so only the first occurrence keeps it.\n // A `null` supplier id normalizes to absent so the generated-id fallback applies.\n const supplied = part.functionCall.id ?? undefined\n const duplicate = supplied !== undefined && seenCallIds.has(supplied)\n if (supplied !== undefined) seenCallIds.add(supplied)\n const id = supplied !== undefined && !duplicate ? supplied : `tool_${crypto.randomUUID().replaceAll(\"-\", \"\")}`\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:\n part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n }),\n )\n hasToolCalls = true\n }\n }\n\n return Effect.succeed([\n {\n ...nextState,\n hasToolCalls,\n lifecycle,\n reasoningSignature,\n textSignature,\n seenCallIds,\n finishReason: candidate.finishReason ?? nextState.finishReason,\n },\n events,\n ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine shared by Google AI Studio and Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: GeminiBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(GeminiEvent),\n initial: (request) => ({\n route: `${request.model.provider}/${request.model.route.id}`,\n hasToolCalls: false,\n lifecycle: Lifecycle.initial(),\n }),\n step,\n onHalt: (state) => Effect.succeed(finish(state)),\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"google\",\n providerMetadataKey: \"google\",\n protocol,\n // Gemini's path embeds the model id and pins SSE framing at the URL level.\n endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n baseURL: DEFAULT_BASE_URL,\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini.js\"\n" | ||
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| "debugId": "A00BA5E7870BFA7F64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex-messages.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema, Struct } from \"effect\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nconst VERSION = \"vertex-2023-10-16\" as const\nconst HEADER_VERSION = \"2023-06-01\" as const\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n}\n\nconst route = Route.make({\n id: \"google-vertex-messages\",\n provider: id,\n providerMetadataKey: \"anthropic\",\n protocol: Protocol.make({\n id: AnthropicMessages.protocol.id,\n body: {\n schema: Schema.Struct({\n ...Struct.omit(AnthropicMessages.AnthropicMessagesBody.fields, [\"model\"]),\n anthropic_version: Schema.Literal(VERSION),\n }),\n from: (request) =>\n AnthropicMessages.protocol.body.from(request).pipe(\n Effect.map((body) => ({\n ...Struct.omit(body, [\"model\"]),\n anthropic_version: VERSION,\n })),\n ),\n },\n stream: AnthropicMessages.protocol.stream,\n }),\n endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),\n auth: Auth.none,\n framing: AnthropicMessages.framing,\n headers: () => ({ \"anthropic-version\": HEADER_VERSION }),\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined)\n throw new Error(\"Google Vertex Messages does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://${GoogleVertexShared.host(location)}/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/publishers/anthropic/models`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Messages does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "D4FB3049BC09D5AA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.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": "36711CBEA240C51264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/export.ts"], | ||
| "sourcesContent": [ | ||
| "import { autocomplete, cancel, intro, isCancel, log, outro } from \"@clack/prompts\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../util/error\"\n\nexport default Runtime.handler(\n Commands.commands.export,\n Effect.fn(\"cli.export\")((input) =>\n Effect.gen(function* () {\n const requested = Option.getOrUndefined(input.session)\n if (!requested && !process.stdin.isTTY) {\n yield* Effect.fail(new Error(\"Pass a session ID when running without an interactive terminal\"))\n }\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const sessionID = requested\n ? requested\n : yield* Effect.gen(function* () {\n intro(\"Export session\", { output: process.stderr })\n const location = yield* Effect.tryPromise({\n try: () => client.location.get({ location: { directory: process.cwd() } }),\n catch: (cause) => cause,\n })\n const page = yield* Effect.tryPromise({\n try: () =>\n client.session.list({\n directory: location.directory,\n workspace: location.workspaceID,\n parentID: null,\n order: \"desc\",\n limit: 50,\n }),\n catch: (cause) => cause,\n })\n if (page.data.length === 0) {\n log.error(\"No sessions found\", { output: process.stderr })\n outro(\"Done\", { output: process.stderr })\n return undefined\n }\n const selected = yield* Effect.tryPromise({\n try: () =>\n autocomplete({\n message: \"Select session to export\",\n maxItems: 10,\n options: page.data.map((session) => ({\n label: session.title,\n value: session.id,\n hint: `${new Date(session.time.updated).toLocaleString()} - ${session.id.slice(-8)}`,\n })),\n output: process.stderr,\n }),\n catch: (cause) => cause,\n })\n if (isCancel(selected)) {\n cancel(\"Cancelled\", { output: process.stderr })\n process.exitCode = 130\n return undefined\n }\n outro(\"Exporting session...\", { output: process.stderr })\n return selected\n })\n if (!sessionID) return\n const data = yield* Effect.tryPromise({\n try: () => client.session.export({ sessionID, sanitize: input.sanitize }),\n catch: (cause) => cause,\n })\n process.stdout.write(JSON.stringify(data, null, 2) + EOL)\n }).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n ),\n)\n" | ||
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| "debugId": "627E99F2AC563E4764756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/list.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { createClient, loadIntegrations } from \"./shared\"\nimport { errorMessage } from \"../../../util/error\"\n\nexport default Runtime.handler(Commands.commands.auth.commands.list, (input) =>\n list(input).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n)\n\nconst list = Effect.fn(\"cli.auth.list\")(function* (input) {\n const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })\n const integrations = (yield* loadIntegrations(client)).filter((integration) => integration.connections.length > 0)\n if (input.format === \"json\") {\n process.stdout.write(\n JSON.stringify(\n integrations.map((integration) => ({\n id: integration.id,\n name: integration.name,\n connections: integration.connections,\n })),\n null,\n 2,\n ) + EOL,\n )\n return\n }\n const rows = integrations.flatMap((integration) =>\n integration.connections.map((connection) => ({\n integration: integration.name,\n source: connection.type === \"credential\" ? connection.label : connection.name,\n type: connection.type === \"credential\" ? \"stored\" : \"environment\",\n })),\n )\n if (rows.length === 0) {\n process.stdout.write(\"No authenticated integrations\" + EOL)\n return\n }\n const width = Math.max(...rows.map((row) => row.integration.length)) + 2\n process.stdout.write(\n rows.map((row) => row.integration.padEnd(width) + row.source.padEnd(28) + row.type).join(EOL) + EOL,\n )\n})\n" | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/image-input.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding } from \"effect\"\nimport type { ImageInput } from \"../../image.js\"\nimport { InvalidRequestReason, AIError } from \"../../schema/index.js\"\n\nconst invalid = (module: string, message: string) =>\n new AIError({\n module,\n method: \"generate\",\n reason: new InvalidRequestReason({ message }),\n })\n\nexport const dataUrl = (input: Extract<ImageInput, { readonly type: \"bytes\" }>) =>\n `data:${input.mediaType};base64,${Encoding.encodeBase64(input.data)}`\n\nexport const decodeDataUrl = (\n url: string,\n module: string,\n): Effect.Effect<{ readonly mediaType: string; readonly data: Uint8Array } | undefined, AIError> => {\n if (!url.startsWith(\"data:\")) return Effect.undefined\n const match = /^data:([^;,]+);base64,(.*)$/s.exec(url)\n if (!match) return Effect.fail(invalid(module, \"Image data URLs must contain a MIME type and base64 data\"))\n return Effect.fromResult(Encoding.decodeBase64(match[2])).pipe(\n Effect.mapError(() => invalid(module, \"Image data URL contains invalid base64 data\")),\n Effect.map((data) => ({ mediaType: match[1], data })),\n )\n}\n\nexport const invalidImageInput = invalid\n\nexport const ImageInputs = {\n dataUrl,\n decodeDataUrl,\n invalid: invalidImageInput,\n} as const\n" | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/server-process.ts", "src/services/service-registration.ts", "src/services/web-ui.ts", "src/app-assets.ts", "src/commands/handlers/serve.ts"], | ||
| "sourcesContent": [ | ||
| "export * as ServerProcess from \"./server-process\"\n\nimport { NodeServices } from \"@effect/platform-node\"\nimport { Service, type DiscoverOptions } from \"@opencode-ai/client/effect/service\"\nimport { LayerNode } from \"@opencode-ai/util/effect/layer-node\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"./version\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { randomBytes, randomUUID } from \"node:crypto\"\nimport { Effect, Option, Redacted, Schedule } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { Env } from \"./env\"\nimport { ServiceConfig } from \"./services/service-config\"\nimport { ServiceRegistration } from \"./services/service-registration\"\nimport { Updater } from \"./services/updater\"\nimport { WebUi } from \"./services/web-ui\"\n\nexport type Mode = \"default\" | \"service\" | \"stdio\"\n\nexport type Options = {\n readonly mode: Mode\n readonly hostname?: string\n readonly port?: number\n}\n\n// The process effect lives until server shutdown; tracing it would parent every request to one process-lifetime trace.\nexport const run = Effect.fnUntraced(function* (options: Options) {\n return yield* processEffect(options).pipe(\n Effect.provide(Updater.layer),\n Effect.provide(\n LayerNode.compile(LayerNode.group([Global.node, AppProcess.node]), [\n [\n Global.node,\n Global.layerWith(process.env.OPENCODE_CONFIG_DIR ? { config: process.env.OPENCODE_CONFIG_DIR } : {}),\n ],\n ]),\n ),\n Effect.provide(NodeServices.layer),\n )\n})\n\nconst processEffect = Effect.fnUntraced(function* (options: Options) {\n const global = yield* Global.Service\n if (options.mode === \"service\") yield* Effect.sync(() => process.chdir(global.home))\n return yield* Effect.scoped(\n Effect.gen(function* () {\n const foreground = options.mode === \"default\"\n const serviceOptions = options.mode === \"service\" ? yield* ServiceConfig.options() : undefined\n const config = options.mode === \"service\" ? yield* ServiceConfig.read() : {}\n const hostname = options.hostname ?? config.hostname ?? \"127.0.0.1\"\n const port = options.port ?? config.port ?? (options.mode === \"service\" ? ServiceConfig.defaultPort() : undefined)\n const incumbent =\n serviceOptions !== undefined && port !== undefined\n ? yield* Service.incumbent({ ...serviceOptions, url: serviceURL(hostname, port) })\n : undefined\n if (incumbent !== undefined) return\n const { start } = yield* Effect.promise(() => import(\"@opencode-ai/server/process\"))\n const environmentPassword = yield* Env.password\n // Keep the lease credential out of the environment inherited by tools.\n if (options.mode === \"stdio\") {\n delete process.env.OPENCODE_PASSWORD\n delete process.env.OPENCODE_SERVER_PASSWORD\n }\n const password =\n options.mode === \"service\"\n ? config.password || randomBytes(32).toString(\"base64url\")\n : environmentPassword\n ? Redacted.value(environmentPassword)\n : randomBytes(32).toString(\"base64url\")\n if (!password) return yield* Effect.fail(new Error(\"Missing server password\"))\n const instanceID = randomUUID()\n const transform = yield* WebUi.handler()\n const server = yield* start(\n {\n app: {\n name: process.env.OPENCODE_CLIENT ?? \"cli\",\n version: OPENCODE_VERSION,\n channel: OPENCODE_CHANNEL,\n },\n hostname,\n port,\n password,\n simulation: truthy(process.env.OPENCODE_SIMULATE),\n database: {\n path:\n process.env.OPENCODE_DB ??\n ([\"latest\", \"dev\", \"beta\", \"next\", \"prod\"].includes(OPENCODE_CHANNEL) ||\n process.env.OPENCODE_DISABLE_CHANNEL_DB === \"1\" ||\n process.env.OPENCODE_DISABLE_CHANNEL_DB === \"true\"\n ? \"opencode.db\"\n : `opencode-${OPENCODE_CHANNEL.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.db`),\n },\n models: {\n url: process.env.OPENCODE_MODELS_URL,\n file: process.env.OPENCODE_MODELS_PATH,\n fetch: !truthy(process.env.OPENCODE_DISABLE_MODELS_FETCH),\n },\n config: {\n directory: process.env.OPENCODE_CONFIG_DIR,\n project: !truthy(\n process.env.OPENCODE_CONFIG_PROJECT_DISABLE ?? process.env.OPENCODE_DISABLE_PROJECT_CONFIG,\n ),\n file: process.env.OPENCODE_CONFIG,\n content: process.env.OPENCODE_CONFIG_CONTENT,\n },\n windows: {\n gitbash: process.env.OPENCODE_GIT_BASH_PATH,\n },\n fs: {\n filewatcher: !truthy(process.env.OPENCODE_FILEWATCHER_DISABLE ?? process.env.OPENCODE_DISABLE_FILEWATCHER),\n fff:\n process.env.OPENCODE_DISABLE_FFF === undefined\n ? process.platform !== \"win32\"\n : !truthy(process.env.OPENCODE_DISABLE_FFF),\n },\n },\n serviceOptions === undefined\n ? undefined\n : {\n onListen: (address, shutdown) =>\n Effect.gen(function* () {\n if (!config.password) yield* ServiceConfig.password(password)\n return yield* ServiceRegistration.register({\n address,\n password,\n id: instanceID,\n file: serviceOptions.file,\n shutdown,\n })\n }),\n },\n transform,\n ).pipe(\n Effect.catch((error) => {\n if (serviceOptions === undefined || port === undefined || !addressInUse(error)) return Effect.fail(error)\n return recognizeIncumbent(serviceOptions, hostname, port).pipe(\n Effect.flatMap((found) =>\n found\n ? Effect.void\n : Effect.fail(\n new Error(\n `Managed service port ${port} on ${hostname} is already in use by another process. ` +\n \"Configure another port with `opencode service set port <port>` and start the service again.\",\n { cause: error },\n ),\n ),\n ),\n )\n }),\n )\n if (server === undefined) return\n const url = HttpServer.formatAddress(server.address)\n console.log(options.mode === \"stdio\" ? JSON.stringify({ url }) : `server listening on ${url}`)\n if (foreground && !environmentPassword) console.log(`server password ${password}`)\n const updater = yield* Updater.Service\n yield* updater.check().pipe(Effect.schedule(Schedule.spaced(\"10 minutes\")), Effect.forkScoped)\n return yield* options.mode === \"service\"\n ? server.shutdown\n : options.mode === \"stdio\"\n ? waitForStdinClose()\n : Effect.never\n }).pipe(Effect.annotateLogs({ role: \"server\" })),\n )\n})\n\nconst recognizeIncumbent = Effect.fnUntraced(function* (options: DiscoverOptions, hostname: string, port: number) {\n const found = yield* Service.incumbent({ ...options, url: serviceURL(hostname, port) }).pipe(\n Effect.filterOrFail((value) => value !== undefined),\n Effect.retry(Schedule.spaced(\"100 millis\")),\n Effect.timeoutOption(\"15 seconds\"),\n )\n return Option.isSome(found)\n})\n\nfunction serviceURL(hostname: string, port: number) {\n return `http://${hostname.includes(\":\") ? `[${hostname}]` : hostname}:${port}`\n}\n\nfunction truthy(value?: string) {\n return value === \"1\" || value?.toLowerCase() === \"true\"\n}\n\nfunction addressInUse(error: unknown): boolean {\n if (typeof error !== \"object\" || error === null) return false\n if (\"code\" in error && error.code === \"EADDRINUSE\") return true\n return \"cause\" in error && addressInUse(error.cause)\n}\n\nfunction waitForStdinClose() {\n return Effect.callback<void>((resume) => {\n const close = () => resume(Effect.void)\n process.stdin.once(\"end\", close)\n process.stdin.once(\"close\", close)\n process.stdin.resume()\n if (process.stdin.readableEnded || process.stdin.destroyed) close()\n return Effect.sync(() => {\n process.stdin.off(\"end\", close)\n process.stdin.off(\"close\", close)\n process.stdin.pause()\n })\n })\n}\n", | ||
| "export * as ServiceRegistration from \"./service-registration\"\n\nimport { Service, type Info } from \"@opencode-ai/client/effect/service\"\nimport path from \"node:path\"\nimport { Effect, FileSystem, Schedule, Schema } from \"effect\"\nimport { HttpServer } from \"effect/unstable/http\"\nimport { OPENCODE_VERSION } from \"../version\"\n\nconst infoJson = Schema.fromJsonString(Service.Info)\nconst encodeInfo = Schema.encodeEffect(infoJson)\nconst decodeInfo = Schema.decodeUnknownEffect(infoJson)\n\nexport const register = Effect.fnUntraced(function* (options: {\n readonly address: HttpServer.Address\n readonly password: string\n readonly id: string\n readonly file: string\n readonly shutdown: Effect.Effect<void>\n}) {\n const fs = yield* FileSystem.FileSystem\n const temp = options.file + \".\" + options.id + \".tmp\"\n yield* fs.makeDirectory(path.dirname(options.file), { recursive: true })\n const info = {\n id: options.id,\n version: OPENCODE_VERSION,\n url: HttpServer.formatAddress(options.address),\n pid: process.pid,\n password: options.password,\n }\n const encoded = yield* encodeInfo(info)\n const current = fs.readFileString(options.file).pipe(Effect.flatMap(decodeInfo))\n const owns = (found: Info) =>\n found.id === info.id &&\n found.version === info.version &&\n found.url === info.url &&\n found.pid === info.pid &&\n found.password === info.password\n yield* fs.writeFileString(temp, encoded, { mode: 0o600 }).pipe(Effect.andThen(fs.rename(temp, options.file)))\n yield* current.pipe(\n Effect.catchCause((cause) =>\n Effect.logWarning(\"managed service registration check failed; shutting down\", {\n cause,\n serviceID: options.id,\n servicePID: process.pid,\n registration: options.file,\n }).pipe(Effect.andThen(Effect.failCause(cause))),\n ),\n Effect.tap((found) =>\n owns(found)\n ? Effect.void\n : Effect.logWarning(\"managed service registration replaced; shutting down\", {\n serviceID: options.id,\n servicePID: process.pid,\n registration: options.file,\n observedServiceID: found.id,\n observedServicePID: found.pid,\n observedVersion: found.version,\n observedURL: found.url,\n }),\n ),\n Effect.filterOrFail(owns),\n Effect.repeat(Schedule.spaced(\"5 seconds\")),\n Effect.ignore,\n Effect.andThen(options.shutdown),\n Effect.forkScoped,\n )\n return current.pipe(\n Effect.flatMap((found) => (owns(found) ? fs.remove(options.file) : Effect.void)),\n Effect.ignore,\n )\n})\n", | ||
| "import { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { Effect, FileSystem } from \"effect\"\nimport { HttpServerError, HttpServerRequest, HttpServerResponse } from \"effect/unstable/http\"\nimport { createHash } from \"node:crypto\"\nimport { load, type AssetMap } from \"../app-assets\"\n\nexport const handler = Effect.fn(\"cli.web-ui.handler\")(function* (options?: { readonly assets?: AssetMap }) {\n const fileSystem = yield* FileSystem.FileSystem\n const assets = options?.assets\n ? Effect.succeed(options.assets)\n : yield* Effect.cached(load().pipe(Effect.provideService(FileSystem.FileSystem, fileSystem)))\n return <E, R>(api: Effect.Effect<HttpServerResponse.HttpServerResponse, E, R>) =>\n api.pipe(\n Effect.catchIf(isRouteNotFound, () =>\n HttpServerRequest.HttpServerRequest.pipe(\n Effect.flatMap((request) => {\n const url = new URL(request.url, \"http://localhost\")\n if (url.pathname === \"/api\" || url.pathname.startsWith(\"/api/\"))\n return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n return assets.pipe(Effect.flatMap((files) => serveUI(request, url, files)))\n }),\n ),\n ),\n )\n})\n\nfunction serveUI(request: HttpServerRequest.HttpServerRequest, url: URL, assets: AssetMap) {\n const key = url.pathname.replace(/^\\//, \"\")\n const name = assets[key] !== undefined ? key : \"index.html\"\n const file = assets[name]\n if (!file) return Effect.succeed(HttpServerResponse.empty({ status: 404 }))\n if (request.method !== \"GET\" && request.method !== \"HEAD\")\n return Effect.succeed(HttpServerResponse.empty({ status: 405 }))\n const html = name === \"index.html\"\n const revalidate = html || name === \"sw.js\" || name === \"registerSW.js\"\n const headers = {\n \"content-type\": FSUtil.mimeType(name),\n \"cache-control\": revalidate ? \"no-cache\" : \"public, max-age=31536000, immutable\",\n \"content-security-policy\": html\n ? cspForHtml(typeof file === \"string\" ? file : Buffer.from(file).toString())\n : csp(),\n \"x-content-type-options\": \"nosniff\",\n }\n return Effect.succeed(\n request.method === \"HEAD\"\n ? HttpServerResponse.empty({ headers })\n : HttpServerResponse.raw(file, { headers, contentType: headers[\"content-type\"] }),\n )\n}\n\nfunction isRouteNotFound(error: unknown) {\n return error instanceof HttpServerError.HttpServerError && error.reason._tag === \"RouteNotFound\"\n}\n\nfunction csp(hash = \"\") {\n return `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'${hash ? ` 'sha256-${hash}'` : \"\"}; style-src 'self' 'unsafe-inline'; img-src 'self' data: https: blob:; font-src 'self' data:; media-src 'self' data:; connect-src * data: blob:`\n}\n\nfunction cspForHtml(body: string) {\n const match = body.match(\n /<script\\b(?![^>]*\\bsrc\\s*=)[^>]*\\bid=([\"'])oc-theme-preload-script\\1[^>]*>([\\s\\S]*?)<\\/script>/i,\n )\n return csp(match ? createHash(\"sha256\").update(match[2]).digest(\"base64\") : \"\")\n}\n\nexport * as WebUi from \"./web-ui\"\n", | ||
| "import { Effect, FileSystem, Option } from \"effect\"\nimport path from \"node:path\"\nimport { brotliDecompressSync } from \"node:zlib\"\nimport { OPENCODE_LOCAL } from \"./version\"\n\nexport type AssetMap = Readonly<Record<string, string | Uint8Array>>\ntype EncodedAssetMap = Readonly<Record<string, { readonly content: string; readonly encoding: \"utf8\" | \"base64\" }>>\n\nexport const load = Effect.fn(\"cli.app-assets.load\")(function* () {\n const embedded = yield* Effect.tryPromise(() => import(\"virtual:opencode-app-assets\")).pipe(Effect.option)\n if (Option.isSome(embedded) && embedded.value.default.length > 0) return decodeArchive(embedded.value.default)\n if (!OPENCODE_LOCAL) return yield* Effect.fail(new Error(\"Web UI assets are missing from the CLI build\"))\n return decode(yield* sourceAssets())\n})\n\nfunction decodeArchive(archive: string) {\n const body = brotliDecompressSync(Buffer.from(archive, \"base64\")).toString()\n return decode(JSON.parse(body) as EncodedAssetMap)\n}\n\nconst sourceAssets = Effect.fnUntraced(function* () {\n const fs = yield* FileSystem.FileSystem\n const root = path.resolve(import.meta.dirname, \"../../app/dist\")\n const files = yield* fs.readDirectory(root, { recursive: true })\n return Object.fromEntries(\n (yield* Effect.forEach(\n files.filter((file) => !file.endsWith(\".map\")),\n Effect.fnUntraced(function* (file) {\n const target = path.join(root, file)\n if ((yield* fs.stat(target)).type === \"Directory\") return\n const body = Buffer.from(yield* fs.readFile(target))\n const encoding = isText(file) ? \"utf8\" : \"base64\"\n return [file, { encoding, content: body.toString(encoding) }] as const\n }),\n { concurrency: \"unbounded\" },\n )).filter((asset) => asset !== undefined),\n )\n})\n\nfunction decode(assets: EncodedAssetMap): AssetMap {\n return Object.fromEntries(\n Object.entries(assets).map(([key, asset]) => [\n key,\n asset.encoding === \"utf8\" ? asset.content : Buffer.from(asset.content, \"base64\"),\n ]),\n )\n}\n\nfunction isText(file: string) {\n return file === \"_headers\" || /\\.(?:css|html|js|json|svg|txt|webmanifest|xml)$/.test(file)\n}\n", | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n Commands.commands.serve,\n Effect.fnUntraced(function* (input) {\n if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n return yield* ServerProcess.run({\n mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n hostname: Option.getOrUndefined(input.hostname),\n port: Option.getOrUndefined(input.port),\n })\n }),\n)\n" | ||
| ], | ||
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| ||
| "debugId": "F412F225E4B0013B64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/anthropic-compatible.ts", "../ai/src/providers/anthropic.ts"], | ||
| "sourcesContent": [ | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic-compatible\")\n\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly provider?: string\n readonly baseURL: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport type Settings = ProviderPackage.Settings &\n (\n | { readonly apiKey?: string; readonly authToken?: never }\n | { readonly apiKey?: never; readonly authToken?: string }\n ) & {\n readonly baseURL: string\n readonly provider?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport const routes = [AnthropicMessages.route]\n\nconst auth = (input: ProviderAuthOption<\"optional\">) => {\n if (\"auth\" in input && input.auth) return input.auth\n return Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\").pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config) => {\n if (!input.baseURL) throw new Error(\"Anthropic-compatible providers require a baseURL\")\n const provider = input.provider ?? \"anthropic-compatible\"\n const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n const route = AnthropicMessages.route.with({\n ...rest,\n provider,\n endpoint: { baseURL },\n auth: auth(input),\n })\n return {\n id: ProviderID.make(provider),\n model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined && settings.authToken !== undefined)\n throw new Error(\"Anthropic-compatible apiKey cannot be combined with authToken\")\n return configure({\n ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n provider: settings.provider,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n\nexport * as AnthropicCompatible from \"./anthropic-compatible.js\"\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { AnthropicMessages } from \"../protocols/anthropic-messages.js\"\nimport { AnthropicCompatible } from \"./anthropic-compatible.js\"\n\nexport type AnthropicOptionsInput = AnthropicMessages.OptionsInput\nexport type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput\nexport type AnthropicThinkingInput = AnthropicMessages.ThinkingInput\n\nexport const id = ProviderID.make(\"anthropic\")\n\nexport const routes = [AnthropicMessages.route]\n\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nexport type Settings = ProviderPackage.Settings &\n (\n | { readonly apiKey?: string; readonly authToken?: never }\n | { readonly apiKey?: never; readonly authToken?: string }\n ) & {\n readonly baseURL?: string\n readonly providerOptions?: AnthropicMessages.ProviderOptionsInput\n }\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n if (\"auth\" in options && options.auth) return options.auth\n return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n .orElse(Auth.config(\"ANTHROPIC_API_KEY\"))\n .pipe(Auth.header(\"x-api-key\"))\n}\n\nexport const configure = (input: Config = {}) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n const compatible = AnthropicCompatible.configure({\n ...rest,\n auth: auth(input),\n baseURL: baseURL ?? AnthropicMessages.DEFAULT_BASE_URL,\n provider: id,\n })\n return {\n id,\n model: (modelID: string | ModelID) => compatible.model(modelID),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined && settings.authToken !== undefined)\n throw new Error(\"Anthropic apiKey cannot be combined with authToken\")\n return configure({\n ...(settings.authToken === undefined ? { apiKey: settings.apiKey } : { auth: Auth.bearer(settings.authToken) }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
| ], | ||
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| "debugId": "66B23A21B6C1708064756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/services/service-config.ts"], | ||
| "sourcesContent": [ | ||
| "import { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"../version\"\nimport { Hash } from \"@opencode-ai/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n hostname: Schema.optional(Schema.String),\n port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n password: Schema.optional(Schema.String),\n env: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\", \"env\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return \"service.json\"\n return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return 0xc0de\n if (channel === \"local\") return 0xc0df\n return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"local\") return\n return `service-${Hash.fast(channel)}.json`\n}\n\nexport function versionBelongsToChannel(\n version: string | undefined,\n channel = OPENCODE_CHANNEL,\n installedVersion = OPENCODE_VERSION,\n) {\n if (version === undefined) return false\n if (version === installedVersion) return true\n const prefix = `0.0.0-${channel}-`\n if (!version.startsWith(prefix)) return false\n return /^\\d+(?:\\.\\d+)?$/.test(version.slice(prefix.length))\n}\n\nexport const migrateRegistration = Effect.fnUntraced(function* (\n legacy: string,\n file: string,\n channel = OPENCODE_CHANNEL,\n installedVersion = OPENCODE_VERSION,\n) {\n const fs = yield* FileSystem.FileSystem\n const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n if (Option.isNone(text)) return\n const registration = yield* decodeRegistration(text.value).pipe(Effect.option)\n if (Option.isNone(registration)) return\n if (!versionBelongsToChannel(registration.value.version, channel, installedVersion)) return\n yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nexport const migrateConfig = Effect.fnUntraced(function* (legacy: string, file: string) {\n const fs = yield* FileSystem.FileSystem\n const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n if (Option.isNone(text)) return\n if (Option.isNone(yield* decodeInfo(text.value).pipe(Effect.option))) return\n yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nfunction configKey(key: string): Key {\n if (key === \"hostname\" || key === \"port\" || key === \"password\" || key === \"env\") return key\n throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n const fs = yield* FileSystem.FileSystem\n const global = yield* Global.Service\n const name = filename()\n const legacy = legacyFilename()\n const file = path.join(global.state, name)\n return {\n fs,\n file,\n legacyConfigFile: legacy ? path.join(global.config, legacy) : undefined,\n legacyRegistrationFiles: [\n ...(legacy ? [path.join(global.state, legacy)] : []),\n ...(name !== \"service.json\" && OPENCODE_CHANNEL !== \"local\" ? [path.join(global.state, \"service.json\")] : []),\n ],\n configFile: path.join(global.config, name),\n }\n})\n\nexport const options = Effect.fnUntraced(function* (input: { readonly checkVersion?: boolean } = {}) {\n const { file, legacyRegistrationFiles } = yield* paths\n yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n return {\n file,\n version: input.checkVersion ? OPENCODE_VERSION : undefined,\n env: (yield* read()).env,\n command: [\n ...selfCommand(),\n \"serve\",\n \"--service\",\n ],\n }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n const { fs, configFile, legacyConfigFile } = yield* paths\n if (legacyConfigFile) yield* migrateConfig(legacyConfigFile, configFile)\n return yield* fs.readFileString(configFile).pipe(\n Effect.flatMap(decodeInfo),\n Effect.orElseSucceed(() => ({}) as Info),\n )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n const { fs, configFile } = yield* paths\n const temp = configFile + \".tmp\"\n yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n const existing = yield* read()\n if (value === undefined && existing.password) return existing.password\n const next = value ?? randomBytes(32).toString(\"base64url\")\n\n // Keep one private credential across server restarts so discovered clients\n // can reconnect without exposing a password flag or environment variable.\n yield* write({ ...existing, password: next })\n return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string, name?: string) {\n if (key === undefined) {\n const { password: _password, ...safe } = yield* read()\n return JSON.stringify(safe, null, 2)\n }\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)\n switch (selected) {\n case \"hostname\": {\n return (yield* read()).hostname ?? \"\"\n }\n case \"port\": {\n const port = (yield* read()).port\n return port === undefined ? \"\" : String(port)\n }\n case \"password\": {\n return yield* password()\n }\n case \"env\": {\n const env = (yield* read()).env ?? {}\n return name === undefined ? JSON.stringify(env, null, 2) : (env[name] ?? \"\")\n }\n }\n throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string, nestedValue?: string) {\n const selected = configKey(key)\n if (selected !== \"env\" && nestedValue !== undefined)\n throw new Error(`Usage: opencode service set ${selected} <value>`)\n switch (selected) {\n case \"hostname\": {\n yield* Service.stop(yield* options())\n yield* write({ ...(yield* read()), hostname: value })\n return\n }\n case \"port\": {\n const port = Number(value)\n if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n yield* Service.stop(yield* options())\n yield* write({ ...(yield* read()), port })\n return\n }\n case \"password\": {\n yield* Service.stop(yield* options())\n yield* password(value)\n return\n }\n case \"env\": {\n if (nestedValue === undefined) throw new Error(\"Usage: opencode service set env <key> <value>\")\n yield* Service.stop(yield* options())\n const existing = yield* read()\n yield* write({ ...existing, env: { ...existing.env, [value]: nestedValue } })\n return\n }\n }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string, name?: string) {\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service unset ${selected}`)\n switch (selected) {\n case \"hostname\": {\n yield* Service.stop(yield* options())\n const { hostname: _hostname, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"port\": {\n yield* Service.stop(yield* options())\n const { port: _port, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"password\": {\n yield* Service.stop(yield* options())\n const { password: _password, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"env\": {\n if (name === undefined) throw new Error(\"Usage: opencode service unset env <key>\")\n yield* Service.stop(yield* options())\n const existing = yield* read()\n const { [name]: _removed, ...env } = existing.env ?? {}\n const { env: _existingEnv, ...rest } = existing\n yield* write(Object.keys(env).length === 0 ? rest : { ...rest, env })\n return\n }\n }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n" | ||
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| { | ||
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| "sources": ["src/commands/handlers/mcp/list.ts"], | ||
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| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n if (servers.length === 0) {\n process.stdout.write(\"No MCP servers configured\" + EOL)\n return\n }\n const width = Math.max(...servers.map((server) => server.name.length))\n const lines = servers.map(\n (server) => `${icon(server.status)} ${server.name.padEnd(width)} ${describe(server.status)}`,\n )\n process.stdout.write(lines.join(EOL) + EOL)\n }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n switch (status.status) {\n case \"connected\":\n return \"✓\"\n case \"needs_auth\":\n return \"⚠\"\n case \"failed\":\n return \"✗\"\n default:\n return \"○\"\n }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n switch (status.status) {\n case \"needs_auth\":\n return \"needs authentication\"\n case \"failed\":\n return `failed: ${status.error}`\n default:\n return status.status\n }\n}\n" | ||
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Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mcp/add.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, stat, writeFile } from \"node:fs/promises\"\nimport { Effect, Option } from \"effect\"\nimport { applyEdits, modify } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\n\nexport default Runtime.handler(\n Commands.commands.mcp.commands.add,\n Effect.fn(\"cli.mcp.add\")(function* (input) {\n const url = Option.getOrUndefined(input.url)\n const headers = Option.getOrUndefined(input.header)\n const environment = Option.getOrUndefined(input.env)\n // The CLI framework strands `--` operands on the root command, so read the local server command\n // straight from argv after `--`. This also lets the command carry its own flags (e.g. `npx -y`).\n const dash = process.argv.indexOf(\"--\")\n const command = dash === -1 ? [...input.command] : process.argv.slice(dash + 1)\n\n const hasCommand = command.length > 0\n if (url && hasCommand)\n return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --, not both\"))\n if (!url && !hasCommand) return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --\"))\n if (url && !URL.canParse(url)) return yield* Effect.fail(new Error(`Invalid URL: ${url}`))\n if (url && environment) return yield* Effect.fail(new Error(\"--env is only valid for local MCP servers\"))\n if (hasCommand && headers) return yield* Effect.fail(new Error(\"--header is only valid for remote MCP servers\"))\n\n const server = url\n ? { type: \"remote\" as const, url, ...(headers ? { headers } : {}) }\n : { type: \"local\" as const, command, ...(environment ? { environment } : {}) }\n\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(input.global ? global.config : process.cwd()))\n yield* Effect.promise(() => write(configPath, input.name, server))\n process.stdout.write(`MCP server \"${input.name}\" added to ${configPath}` + EOL)\n }),\n)\n\nexport async function resolveConfigPath(directory: string) {\n const candidates = [\n path.join(directory, \"opencode.json\"),\n path.join(directory, \"opencode.jsonc\"),\n path.join(directory, \".opencode\", \"opencode.json\"),\n path.join(directory, \".opencode\", \"opencode.jsonc\"),\n ]\n for (const candidate of candidates) {\n if (\n await stat(candidate).then(\n (info) => info.isFile(),\n () => false,\n )\n )\n return candidate\n }\n return candidates[0]\n}\n\nasync function write(configPath: string, name: string, server: unknown) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return \"{}\"\n throw error\n })\n const edits = modify(text, [\"mcp\", \"servers\", name], server, {\n formattingOptions: { tabSize: 2, insertSpaces: true },\n })\n await writeFile(configPath, applyEdits(text, edits))\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/list.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type PluginInfo } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { Config } from \"../../../config\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { discoverTuiPlugins, tuiPluginDirectories } from \"@opencode-ai/tui/plugin/discovery\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.list,\n Effect.fn(\"cli.plugin.list\")(function* (input) {\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n const config = yield* Config.Service\n const global = yield* Global.Service\n const info = yield* config.get()\n const discovered = yield* Effect.promise(() =>\n tuiPluginDirectories(process.cwd(), global.config).then(discoverTuiPlugins),\n )\n const output = format(\n response.data,\n [\n ...(info.plugins ?? []).flatMap((entry) => {\n const target = typeof entry === \"string\" ? entry : entry.package\n return target.startsWith(\"-\") ? [] : [{ target, source: \"configured\" as const }]\n }),\n ...discovered.map((target) => ({ target, source: \"discovered\" as const })),\n ],\n input.builtin,\n )\n if (!output) {\n process.stdout.write(\"No plugins found\" + EOL)\n return\n }\n process.stdout.write(output + EOL)\n }),\n)\n\nexport function format(\n plugins: readonly PluginInfo[],\n tui: ReadonlyArray<{ readonly target: string; readonly source: \"configured\" | \"discovered\" }>,\n builtin = false,\n) {\n const server = plugins\n .filter((plugin) => builtin || plugin.source.type !== \"builtin\")\n .toSorted((a, b) => name(a).localeCompare(name(b)))\n .map((plugin) => `${name(plugin)} (${plugin.status})`)\n const advertised = plugins.flatMap((plugin) =>\n plugin.status === \"active\" && plugin.tui && plugin.source.type === \"package\"\n ? [{ target: plugin.source.package, source: \"advertised\" as const }]\n : [],\n )\n const targets = [...tui, ...advertised]\n .filter((plugin, index, all) => all.findIndex((candidate) => candidate.target === plugin.target) === index)\n .toSorted((a, b) => a.target.localeCompare(b.target))\n .map((plugin) => `${plugin.target} (${plugin.source})`)\n return [\n targets.length ? [\"TUI\", ...targets].join(EOL) : undefined,\n server.length ? [\"Server\", ...server].join(EOL) : undefined,\n ]\n .filter((section) => section !== undefined)\n .join(EOL + EOL)\n}\n\nfunction name(plugin: PluginInfo) {\n if (plugin.id) return plugin.id\n if (plugin.source.type === \"package\") return plugin.source.package\n if (plugin.source.type === \"local\") return plugin.source.path\n return plugin.source.type\n}\n" | ||
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| "debugId": "4CB42881B218BC4264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/get.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.get,\n Effect.fn(\"cli.service.get\")(function* (input) {\n process.stdout.write(\n (yield* ServiceConfig.get(Option.getOrUndefined(input.key), Option.getOrUndefined(input.name))) + EOL,\n )\n }),\n)\n" | ||
| ], | ||
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| "debugId": "6A9FEDE9F3B2CA5764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/set.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.set,\n Effect.fn(\"cli.service.set\")(function* (input) {\n yield* ServiceConfig.set(input.key, input.value, Option.getOrUndefined(input.nestedValue))\n }),\n)\n" | ||
| ], | ||
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| "debugId": "3A23B20AF7D66E7B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openai-compatible.ts"], | ||
| "sourcesContent": [ | ||
| "import { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { profiles, type OpenAICompatibleProfile } from \"./openai-compatible-profile.js\"\nimport type { OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"openai-compatible\")\n\ntype GenericModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly provider?: string\n readonly baseURL: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL: string\n readonly provider?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nexport type FamilyModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport const routes = [OpenAICompatibleChat.route]\n\nexport const configure = (input: GenericModelOptions) => {\n const provider = input.provider ?? \"openai-compatible\"\n const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input\n const route = OpenAICompatibleChat.route.with({\n ...rest,\n provider,\n endpoint: { baseURL },\n auth: AuthOptions.bearer(input, []),\n })\n return {\n id: ProviderID.make(provider),\n model: (modelID: string | ModelID) =>\n route.model<OpenAIProviderOptionsInput>({ id: modelID, provider: ProviderID.make(provider) }),\n configure,\n }\n}\n\nconst define = (profile: OpenAICompatibleProfile) => {\n const configureProfile = (input: FamilyModelOptions = {}) => {\n const facade = configure({\n ...input,\n baseURL: input.baseURL ?? profile.baseURL,\n provider: profile.provider,\n })\n return {\n id: ProviderID.make(profile.provider),\n model: facade.model,\n configure: configureProfile,\n }\n }\n return configureProfile()\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n provider: settings.provider,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n\nexport const baseten = define(profiles.baseten)\nexport const cerebras = define(profiles.cerebras)\nexport const deepinfra = define(profiles.deepinfra)\nexport const deepseek = define(profiles.deepseek)\nexport const fireworks = define(profiles.fireworks)\nexport const groq = define(profiles.groq)\nexport const togetherai = define(profiles.togetherai)\n" | ||
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| "debugId": "7BF6FA0F7A71FADE64756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/shared.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { OpenCode, type IntegrationInfo, type IntegrationMethod, type OpenCodeClient } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../../services/server-connection\"\n\nexport const location = { directory: process.cwd() }\n\nexport const createClient = Effect.fn(\"cli.auth.client\")(function* (input: ServerConnection.Args) {\n const server = yield* ServerConnection.resolve(input)\n return OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n})\n\nexport function request<A>(run: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({ try: run, catch: (cause) => cause })\n}\n\nexport const loadIntegrations = Effect.fn(\"cli.auth.integrations\")(function* (client: OpenCodeClient) {\n // The model endpoint is the existing public readiness boundary for the initial plugin generation.\n yield* request((signal) => client.model.default({ location }, { signal }))\n return yield* request((signal) => client.integration.list({ location }, { signal })).pipe(\n Effect.map((response) => response.data),\n )\n})\n\nexport const resolveIntegration = Effect.fn(\"cli.auth.resolve-integration\")(function* (\n integrations: IntegrationInfo[],\n target: string,\n) {\n const normalized = target.replace(/\\/+$/, \"\")\n const byID = integrations.find((integration) => integration.id === normalized)\n if (byID) return byID\n const matches = integrations.filter((integration) => integration.name.toLowerCase() === normalized.toLowerCase())\n if (matches.length === 1) return matches[0]\n if (matches.length > 1) {\n return yield* Effect.fail(\n new Error(\n `Integration name \"${target}\" is ambiguous: ${matches.map((integration) => integration.id).join(\", \")}`,\n ),\n )\n }\n return yield* Effect.fail(new Error(`Integration not found: ${target}`))\n})\n\nexport type ConnectMethod = Exclude<IntegrationMethod, { type: \"env\" }>\n\nexport function connectMethods(integration: IntegrationInfo) {\n return integration.methods\n .filter((method): method is ConnectMethod => method.type !== \"env\")\n .toSorted((a, b) => Number(a.type === \"key\") - Number(b.type === \"key\"))\n}\n\nexport const resolveMethod = Effect.fn(\"cli.auth.resolve-method\")(function* (methods: ConnectMethod[], target: string) {\n const normalized = target.toLowerCase()\n const matches = methods.filter((method) => {\n if (method.type === \"key\") return normalized === \"key\" || method.label?.toLowerCase() === normalized\n return method.id === target || method.label.toLowerCase() === normalized\n })\n if (matches.length === 1) return matches[0]\n if (matches.length > 1) return yield* Effect.fail(new Error(`Authentication method \"${target}\" is ambiguous`))\n const available = methods.map((method) => (method.type === \"key\" ? \"key\" : method.id)).join(\", \")\n return yield* Effect.fail(\n new Error(`Authentication method not found: ${target}${available ? `. Available: ${available}` : \"\"}`),\n )\n})\n" | ||
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| "debugId": "1C3C9B042840F78C64756E2164756E21", | ||
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| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/pair.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode } from \"@opencode-ai/client/promise\"\nimport { renderUnicodeCompact } from \"uqr\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServiceConfig } from \"../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.pair,\n Effect.fn(\"cli.pair\")(function* () {\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const password = yield* ServiceConfig.password()\n const server = yield* Effect.tryPromise(() =>\n OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) }).server.get(),\n )\n const info = { urls: server.urls, username: \"opencode\", password }\n process.stdout.write(\n [\n \"\",\n ` URLs ${info.urls[0] ?? \"(none)\"}`,\n ...info.urls.slice(1).map((url) => ` ${url}`),\n ` Username ${info.username}`,\n ` Password ${info.password}`,\n \"\",\n \" Scan to pair\",\n \"\",\n renderUnicodeCompact(JSON.stringify(info), { border: 2 })\n .split(EOL)\n .map((line) => \" \" + line)\n .join(EOL),\n \"\",\n ].join(EOL) + EOL,\n )\n\n const hostname = new URL(endpoint.url).hostname\n if (![\"localhost\", \"127.0.0.1\", \"[::1]\"].includes(hostname)) return\n process.stderr.write(` Run \\`opencode service set hostname 0.0.0.0\\` to access the service remotely.${EOL}${EOL}`)\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/run/run.ts", "src/run/noninteractive.ts", "src/run/ui.ts"], | ||
| "sourcesContent": [ | ||
| "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient, type SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { FSUtil } from \"@opencode-ai/util/fs-util\"\nimport { open } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { readStdin } from \"../util/io\"\nimport { ServerConnection } from \"../services/server-connection\"\nimport { parseSessionTargetModel, resolveSessionTarget } from \"../session-target\"\nimport { toolInlineInfo } from \"@opencode-ai/tui/mini/tool\"\nimport { runNonInteractivePrompt } from \"./noninteractive\"\nimport { UI } from \"./ui\"\nimport { Env } from \"../env\"\nimport { errorMessage } from \"../util/error\"\n\nexport type RunCommandInput = {\n server: ServerConnection.Resolved\n message: string[]\n continue?: boolean\n session?: string\n fork?: boolean\n model?: string\n agent?: string\n format: \"default\" | \"json\"\n file: string[]\n title?: string\n thinking?: boolean\n auto?: boolean\n}\n\ntype FilePart = {\n url: string\n filename: string\n mime: string\n}\n\ntype Prepared = {\n directory?: string\n message: string\n files: FilePart[]\n}\n\ntype ExecutionOptions = {\n root?: string\n directory?: string\n useServerDirectory?: boolean\n variant?: string\n attached?: boolean\n compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n constructor(\n message: string,\n readonly sessionID?: string,\n ) {\n super(message)\n }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n const root = options.root ?? process.env.PWD ?? process.cwd()\n const local = localDirectory(root)\n const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n if (!message?.trim()) fail(\"You must provide a message\")\n const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n const prepared = { directory, message, files }\n return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n const client = OpenCode.make({\n baseUrl: endpoint.url,\n headers: Service.headers(endpoint),\n // Bun's default five-minute deadline terminates the event stream used by long-running sessions.\n fetch: ((request: RequestInfo | URL, init?: RequestInit) =>\n fetch(request, { ...init, timeout: false } as BunFetchRequestInit)) as typeof fetch,\n })\n const explicit = parseRunModel(input.model)\n const target = await resolveSessionTarget({\n client,\n location: prepared.directory ? { directory: prepared.directory } : undefined,\n continue: input.continue,\n session: input.session,\n fork: input.fork,\n model: explicit\n ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n : undefined,\n agent: input.agent,\n environment: input.server.service ? Env.session() : undefined,\n prepare: async (next) => {\n const selected =\n next.model ??\n (options.variant\n ? await client.model\n .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n .then((result) => result.data)\n : undefined)\n const model = selected\n ? {\n providerID: selected.providerID,\n id: selected.id,\n variant: options.variant ?? (\"variant\" in selected ? selected.variant : undefined),\n }\n : undefined\n if ((options.variant ?? explicit?.variant) && !model)\n throw new RunTargetError(\"Cannot select a variant before selecting a model\", next.session?.id)\n return { model, agent: next.agent }\n },\n }).catch((error) => {\n if (!(error instanceof RunTargetError)) throw error\n reportRunError(input, error.message, error.sessionID)\n return undefined\n })\n if (!target) return\n const model = target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined\n const variant = target.model?.variant\n if (!target.resume && input.title !== undefined) {\n await client.session.rename({\n sessionID: target.session.id,\n title: input.title || prepared.message.slice(0, 50) + (prepared.message.length > 50 ? \"...\" : \"\"),\n })\n }\n\n await runNonInteractivePrompt({\n client,\n sessionID: target.session.id,\n location: target.location,\n message: prepared.message,\n files: prepared.files,\n agent: target.agent,\n model,\n variant,\n thinking: input.thinking ?? false,\n format: input.format,\n auto: input.auto ?? false,\n attached: options.attached ?? true,\n compatibility: options.compatibility,\n renderTool: (part) => renderTool(part, target.location.directory),\n renderToolError: (part) => renderToolError(part, target.location.directory),\n }).catch((error) => reportRunError(input, errorMessage(error), target.session.id))\n}\n\nexport function mergeInput(message: string | undefined, piped: string | undefined) {\n if (!message) return piped || undefined\n if (!piped) return message\n return message + \"\\n\" + piped\n}\n\nfunction formatMessage(message: string[]) {\n const value = message.map((part) => (part.includes(\" \") ? `\"${part.replace(/\"/g, '\\\\\"')}\"` : part)).join(\" \")\n return value || undefined\n}\n\nfunction localDirectory(root: string) {\n try {\n process.chdir(root)\n return process.cwd()\n } catch {\n fail(`Failed to change directory to ${root}`)\n }\n}\n\nexport function parseRunModel(value?: string) {\n const ref = parseSessionTargetModel(value)\n if (!ref) return\n return {\n model: { providerID: ref.providerID, modelID: ref.id },\n variant: ref.variant,\n }\n}\n\nasync function prepareFile(input: string, directory: string, options: ExecutionOptions): Promise<FilePart> {\n const file = path.resolve(directory, input)\n const handle = await open(file, \"r\").catch(() => fail(`File not found: ${input}`))\n try {\n const stat = await handle.stat()\n if (options.compatibility === \"v1\" && options.attached && stat.isDirectory())\n fail(`Cannot attach local directory without a shared filesystem: ${input}`)\n if (!stat.isFile() || stat.size > ATTACH_FILE_MAX_BYTES)\n fail(`Cannot attach a directory, special file, or file larger than 10 MiB: ${input}`)\n const content = Buffer.alloc(Number(stat.size))\n let offset = 0\n while (offset < content.length) {\n const read = await handle.read(content, offset, content.length - offset, offset)\n if (read.bytesRead === 0) break\n offset += read.bytesRead\n }\n const bytes = content.subarray(0, offset)\n const detected = FSUtil.mimeType(file)\n const text = bytes.toString(\"utf8\")\n const mime =\n detected.startsWith(\"image/\") || detected === \"application/pdf\"\n ? detected\n : !isBinaryContent(bytes) && Buffer.from(text, \"utf8\").equals(bytes)\n ? \"text/plain\"\n : detected\n return {\n url: `data:${mime};base64,${bytes.toString(\"base64\")}`,\n filename: path.basename(file),\n mime,\n }\n } finally {\n await handle.close()\n }\n}\n\nfunction isBinaryContent(bytes: Uint8Array) {\n if (bytes.length === 0) return false\n if (bytes.includes(0)) return true\n return bytes.reduce((count, byte) => count + Number(byte < 9 || (byte > 13 && byte < 32)), 0) / bytes.length > 0.3\n}\n\nasync function renderTool(part: SessionMessageAssistantTool, directory: string) {\n const info = toolInlineInfo(part, directory)\n if (info.mode === \"block\") {\n UI.empty()\n UI.println(UI.Style.TEXT_NORMAL + info.icon, UI.Style.TEXT_NORMAL + info.title)\n if (info.body?.trim()) UI.println(info.body)\n UI.empty()\n return\n }\n UI.println(\n UI.Style.TEXT_NORMAL + info.icon,\n UI.Style.TEXT_NORMAL + info.title,\n info.description ? UI.Style.TEXT_DIM + info.description + UI.Style.TEXT_NORMAL : \"\",\n )\n}\n\nasync function renderToolError(part: SessionMessageAssistantTool, directory: string) {\n const info = toolInlineInfo(part, directory)\n UI.println(UI.Style.TEXT_NORMAL + \"✗\", UI.Style.TEXT_NORMAL + `${info.title} failed`)\n}\n\n/** @internal Used by the V1 command boundary before a Session exists. */\nexport function reportRunError(input: Pick<RunCommandInput, \"format\">, message: string, sessionID?: string) {\n process.exitCode = 1\n if (input.format === \"json\") {\n process.stdout.write(\n JSON.stringify({\n type: \"error\",\n timestamp: Date.now(),\n sessionID: sessionID ?? \"\",\n error: { type: \"unknown\", message },\n }) + \"\\n\",\n )\n return\n }\n UI.error(message)\n}\n\nfunction fail(message: string): never {\n throw new Error(message)\n}\n", | ||
| "import type {\n EventSubscribeOutput,\n JsonValue,\n LocationRef,\n OpenCodeClient,\n SessionMessageAssistantTool,\n SessionMessageInfo,\n ToolContent,\n} from \"@opencode-ai/client/promise\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { EOL } from \"node:os\"\nimport { readFile } from \"node:fs/promises\"\nimport { nonEmptyToolContent, toolOutputText, type MiniToolPart } from \"@opencode-ai/tui/mini/tool\"\nimport { UI } from \"./ui\"\n\ntype Model = {\n providerID: string\n modelID: string\n}\n\ntype File = {\n url: string\n filename: string\n mime: string\n}\n\ntype Input = {\n client: OpenCodeClient\n sessionID: string\n location: LocationRef\n message: string\n files: File[]\n agent?: string\n model?: Model\n variant?: string\n thinking: boolean\n format: \"default\" | \"json\"\n auto: boolean\n /** True when the client is attached to a shared server rather than an exclusive in-process one. */\n attached: boolean\n compatibility?: \"v1\"\n renderTool: (part: SessionMessageAssistantTool) => Promise<void>\n renderToolError: (part: SessionMessageAssistantTool) => Promise<void>\n}\n\ntype StartedPart = {\n id: string\n timestamp: number\n}\n\ntype ToolState = StartedPart & {\n assistantMessageID: string\n tool: string\n input: Record<string, JsonValue>\n raw?: string\n provider?: unknown\n providerState?: SessionMessageAssistantTool[\"providerState\"]\n metadata: Record<string, JsonValue>\n content: ToolContent[]\n}\n\ntype V2Event = EventSubscribeOutput\ntype FormRequest = Extract<V2Event, { type: \"form.created\" }>[\"data\"][\"form\"]\n\n// MCP elicitations are temporarily owned by the \"global\" sentinel instead of a real\n// session. An exclusive local process may treat them as this run's blockers; an\n// attached client must not cancel input that may belong to another session.\nconst GLOBAL_FORM_SESSION_ID = \"global\"\n\nexport async function runNonInteractivePrompt(input: Input) {\n const controller = new AbortController()\n const stream = input.client.event.subscribe({ signal: controller.signal })[Symbol.asyncIterator]()\n const connected = await stream.next()\n if (connected.done) throw new Error(\"Event stream disconnected before prompt admission\")\n\n const messageID = SessionMessage.ID.create()\n const starts = new Map<string, StartedPart>()\n const tools = new Map<string, ToolState>()\n const renderedText = new Map<string, string>()\n const renderedReasoning = new Map<string, string>()\n const renderedTools = new Set<string>()\n let submitted = false\n let promoted = false\n let emittedError = false\n let permissionRejected = false\n let formCancelled = false\n let interrupted = false\n let v1InvalidOutput = false\n let prePromotionError: { message: string; [key: string]: unknown } | undefined\n let finalizing = false\n let admission: AbortController | undefined\n let pendingStep: { timestamp: number; part: Record<string, unknown>; label: string } | undefined\n\n const emit = (type: string, timestamp: number, data: Record<string, unknown>) => {\n if (input.format !== \"json\") return false\n process.stdout.write(JSON.stringify({ type, timestamp, sessionID: input.sessionID, ...data }) + EOL)\n return true\n }\n\n const writeText = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n if (emit(\"text\", timestamp, { part })) return\n const text = part.text.trim()\n if (!text) return\n if (!process.stdout.isTTY) {\n process.stdout.write(text + EOL)\n return\n }\n UI.empty()\n UI.println(text)\n UI.empty()\n }\n\n const writeReasoning = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n if (emit(\"reasoning\", timestamp, { part })) return\n const text = part.text.trim()\n if (!text) return\n const line = `Thinking: ${text}`\n if (!process.stdout.isTTY) return void process.stdout.write(line + EOL)\n UI.empty()\n UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n UI.empty()\n }\n\n const flushStep = () => {\n if (!pendingStep) return\n const value = pendingStep\n pendingStep = undefined\n if (!emit(\"step_start\", value.timestamp, { part: value.part }) && input.format !== \"json\") {\n UI.empty()\n UI.println(value.label)\n UI.empty()\n }\n }\n\n const replyPermission = async (request: { id: string; action: string; resources: ReadonlyArray<string> }) => {\n if (!input.auto) {\n permissionRejected = true\n UI.println(\n UI.Style.TEXT_WARNING_BOLD + \"!\",\n UI.Style.TEXT_NORMAL +\n `permission requested: ${request.action} (${request.resources.join(\", \")}); auto-rejecting`,\n )\n }\n await input.client.permission\n .reply({\n sessionID: input.sessionID,\n requestID: request.id,\n reply: input.auto ? \"once\" : \"reject\",\n })\n .catch(() => {})\n if (!input.auto) {\n await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n }\n\n const cancelForm = async (request: Pick<FormRequest, \"id\" | \"sessionID\">) => {\n try {\n await input.client.form.cancel(\n { sessionID: request.sessionID, formID: request.id },\n ...formRequestOptions(request.sessionID === GLOBAL_FORM_SESSION_ID ? input.location : undefined),\n )\n } catch (error) {\n if (!formAlreadySettled(error)) throw error\n }\n formCancelled = true\n }\n\n const consume = async () => {\n while (!controller.signal.aborted) {\n const next = await stream.next().catch((error) => {\n if (!emittedError) throw error\n return { done: true as const, value: undefined }\n })\n if (next.done) {\n if (emittedError) return\n throw new Error(\"Event stream disconnected during prompt execution\")\n }\n const event = next.value\n\n if (event.type === \"permission.asked\" && submitted && event.data.sessionID === input.sessionID) {\n await replyPermission(event.data)\n continue\n }\n if (\n event.type === \"form.created\" &&\n submitted &&\n (event.data.form.sessionID === input.sessionID ||\n (!input.attached &&\n event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n sameLocation(event.location, input.location)))\n ) {\n await cancelForm(event.data.form)\n continue\n }\n if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n const time = toMillis(\"created\" in event ? event.created : undefined)\n\n if (event.type === \"session.inbox.delivered\") {\n if (event.data.inboxID === messageID) {\n promoted = true\n prePromotionError = undefined\n continue\n }\n }\n if (\n event.type === \"session.execution.interrupted\" &&\n event.data.reason === \"user\" &&\n (interrupted || permissionRejected || formCancelled)\n ) {\n return\n }\n if (!promoted && event.type === \"session.execution.failed\") {\n prePromotionError = event.data.error\n if (finalizing) return\n continue\n }\n if (\n !promoted &&\n finalizing &&\n (event.type === \"session.execution.succeeded\" || event.type === \"session.execution.interrupted\")\n )\n return\n if (!promoted) continue\n if (finalizing && !event.type.startsWith(\"session.execution.\")) continue\n\n if (event.type === \"session.step.started\") {\n const part = {\n id: partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"step-start\",\n snapshot: event.data.snapshot,\n }\n if (input.compatibility === \"v1\") {\n pendingStep = {\n timestamp: time,\n part,\n label: `> ${event.data.agent} · ${event.data.model.id}`,\n }\n continue\n }\n if (!emit(\"step_start\", time, { part }) && input.format !== \"json\") {\n UI.empty()\n UI.println(`> ${event.data.agent} · ${event.data.model.id}`)\n UI.empty()\n }\n continue\n }\n\n if (event.type === \"session.text.started\") {\n flushStep()\n starts.set(`text\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n id: partID(event.id),\n timestamp: time,\n })\n continue\n }\n if (event.type === \"session.text.ended\") {\n const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n const started = starts.get(`text\\u0000${key}`)\n starts.delete(`text\\u0000${key}`)\n const part = {\n id: started?.id ?? partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"text\",\n text: event.data.text,\n time: { start: started?.timestamp ?? time, end: time },\n }\n renderedText.set(key, event.data.text)\n writeText(part, time)\n continue\n }\n\n if (event.type === \"session.reasoning.started\") {\n flushStep()\n starts.set(`reasoning\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n id: partID(event.id),\n timestamp: time,\n })\n continue\n }\n if (event.type === \"session.reasoning.ended\" && input.thinking) {\n const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n const started = starts.get(`reasoning\\u0000${key}`)\n starts.delete(`reasoning\\u0000${key}`)\n const part = {\n id: started?.id ?? partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"reasoning\",\n text: event.data.text,\n metadata: event.data.state,\n time: { start: started?.timestamp ?? time, end: time },\n }\n renderedReasoning.set(key, event.data.text)\n writeReasoning(part, time)\n continue\n }\n\n if (event.type === \"session.tool.input.started\") {\n flushStep()\n tools.set(toolKey(event.data.assistantMessageID, event.data.id), {\n id: partID(event.id),\n timestamp: time,\n assistantMessageID: event.data.assistantMessageID,\n tool: event.data.name,\n input: {},\n metadata: {},\n content: [],\n })\n continue\n }\n if (event.type === \"session.tool.input.ended\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) current.raw = event.data.text\n continue\n }\n if (event.type === \"session.tool.input.delta\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n continue\n }\n if (event.type === \"session.tool.called\") {\n flushStep()\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key)\n tools.set(key, {\n id: current?.id ?? partID(event.id),\n timestamp: current?.timestamp ?? time,\n assistantMessageID: event.data.assistantMessageID,\n tool: current?.tool ?? \"tool\",\n input: event.data.input,\n raw: current?.raw,\n provider: { executed: event.data.executed, state: event.data.state },\n providerState: event.data.state,\n metadata: {},\n content: [],\n })\n continue\n }\n if (event.type === \"session.tool.progress\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) {\n current.metadata = event.data.metadata\n }\n continue\n }\n if (event.type === \"session.tool.success\") {\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key) ?? fallbackTool(event)\n const tool: SessionMessageAssistantTool = {\n type: \"tool\",\n id: event.data.id,\n name: current.tool,\n executed: event.data.executed,\n providerState: current.providerState,\n providerResultState: event.data.resultState,\n state: {\n status: \"completed\",\n input: current.input,\n metadata: event.data.metadata,\n content: event.data.content,\n },\n time: { created: current.timestamp, ran: current.timestamp, completed: time },\n }\n const part: MiniToolPart = {\n partID: current.id,\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"tool\",\n id: event.data.id,\n tool: current.tool,\n state: {\n status: \"completed\",\n input: current.input,\n output: toolOutputText(current.tool, event.data.content),\n title: current.tool,\n metadata: {\n metadata: event.data.metadata,\n content: event.data.content,\n providerCall: current.provider,\n providerResult: { executed: event.data.executed, state: event.data.resultState },\n rawInput: current.raw,\n },\n time: { start: current.timestamp, end: time },\n },\n }\n tools.delete(key)\n renderedTools.add(key)\n if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n continue\n }\n if (event.type === \"session.tool.failed\") {\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key) ?? fallbackTool(event)\n const error = event.data.error.message\n const metadata = event.data.metadata ?? current.metadata\n const content = event.data.content ?? nonEmptyToolContent(current.content)\n const tool: SessionMessageAssistantTool = {\n type: \"tool\",\n id: event.data.id,\n name: current.tool,\n executed: event.data.executed,\n providerState: current.providerState,\n providerResultState: event.data.resultState,\n state: {\n status: \"error\",\n input: current.input,\n metadata,\n content,\n error: event.data.error,\n },\n time: { created: current.timestamp, ran: current.timestamp, completed: time },\n }\n const part: MiniToolPart = {\n partID: current.id,\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"tool\",\n id: event.data.id,\n tool: current.tool,\n state: {\n status: \"error\",\n input: current.input,\n error,\n metadata: {\n providerCall: current.provider,\n providerResult: { executed: event.data.executed, state: event.data.resultState },\n rawInput: current.raw,\n },\n time: { start: current.timestamp, end: time },\n },\n }\n tools.delete(key)\n renderedTools.add(key)\n if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n if (!emit(\"tool_use\", time, { part })) {\n if (content && toolOutputText(current.tool, content).trim())\n await input.renderTool({\n ...tool,\n state: {\n status: \"completed\",\n input: current.input,\n metadata,\n content,\n },\n })\n await input.renderToolError(tool)\n UI.error(error)\n }\n continue\n }\n\n if (event.type === \"session.step.ended\") {\n flushStep()\n const part = {\n id: partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"step-finish\",\n reason: event.data.finish,\n snapshot: event.data.snapshot,\n cost: event.data.cost,\n tokens: event.data.tokens,\n }\n emit(\"step_finish\", time, { part })\n continue\n }\n if (event.type === \"session.step.failed\") {\n if (input.compatibility === \"v1\" && event.data.error.message === \"The provider response ended unexpectedly.\") {\n pendingStep = undefined\n v1InvalidOutput = true\n continue\n }\n if (interrupted || permissionRejected || formCancelled) continue\n flushStep()\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n continue\n }\n if (event.type === \"session.execution.failed\") {\n if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n flushStep()\n if (!emittedError && !formCancelled) {\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n }\n return\n }\n if (event.type === \"session.execution.interrupted\") {\n if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n if (event.data.reason !== \"user\" && !emittedError) {\n emittedError = true\n process.exitCode = 1\n const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n if (!emit(\"error\", time, { error })) UI.error(error.message)\n }\n return\n }\n if (event.type === \"session.execution.succeeded\") return\n }\n }\n\n const projectedMessages = async () => {\n const messages: SessionMessageInfo[] = []\n let cursor: string | undefined\n while (true) {\n const page = await input.client.message.list(\n cursor\n ? { sessionID: input.sessionID, limit: 200, cursor }\n : { sessionID: input.sessionID, limit: 200, order: \"desc\" },\n )\n for (const message of page.data) {\n if (message.id === messageID) return { found: true, messages: messages.toReversed() }\n messages.push(message)\n }\n cursor = page.cursor.next ?? undefined\n if (!cursor) return { found: false, messages: [] }\n }\n }\n\n const reconcile = async () => {\n const projected = await projectedMessages()\n for (const message of projected.messages) {\n if (message.type !== \"assistant\") continue\n const timestamp = message.time.completed ?? message.time.created\n let textOrdinal = 0\n let reasoningOrdinal = 0\n for (const item of message.content) {\n if (item.type === \"text\") {\n const ordinal = textOrdinal++\n const key = contentKey(message.id, ordinal)\n const rendered = renderedText.get(key) ?? \"\"\n if (rendered === item.text || !item.text.startsWith(rendered)) continue\n const text = item.text.slice(rendered.length)\n writeText(\n {\n id: projectedPartID(message.id, `text-${ordinal}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"text\",\n text,\n time: { start: message.time.created, end: timestamp },\n },\n timestamp,\n )\n renderedText.set(key, item.text)\n continue\n }\n if (item.type === \"reasoning\") {\n const ordinal = reasoningOrdinal++\n if (!input.thinking) continue\n const key = contentKey(message.id, ordinal)\n const rendered = renderedReasoning.get(key) ?? \"\"\n if (rendered === item.text || !item.text.startsWith(rendered)) continue\n const text = item.text.slice(rendered.length)\n const part = {\n id: projectedPartID(message.id, `reasoning-${ordinal}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"reasoning\",\n text,\n metadata: item.state,\n time: { start: message.time.created, end: timestamp },\n }\n renderedReasoning.set(key, item.text)\n writeReasoning(part, timestamp)\n continue\n }\n\n const key = toolKey(message.id, item.id)\n if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n const part: MiniToolPart = {\n partID: projectedPartID(message.id, `tool-${item.id}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"tool\",\n id: item.id,\n tool: item.name,\n state:\n item.state.status === \"completed\"\n ? {\n status: \"completed\",\n input: item.state.input,\n output: toolOutputText(item.name, item.state.content),\n title: item.name,\n metadata: { metadata: item.state.metadata, content: item.state.content },\n time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n }\n : {\n status: \"error\",\n input: item.state.input,\n error: item.state.error.message,\n metadata: { metadata: item.state.metadata, content: item.state.content },\n time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n },\n }\n renderedTools.add(key)\n if (emit(\"tool_use\", timestamp, { part })) continue\n if (item.state.status === \"completed\") {\n await input.renderTool(item)\n continue\n }\n if (item.state.content && toolOutputText(item.name, item.state.content).trim()) {\n await input.renderTool({\n ...item,\n state: {\n status: \"completed\",\n input: item.state.input,\n metadata: item.state.metadata,\n content: item.state.content,\n },\n })\n }\n await input.renderToolError(item)\n UI.error(item.state.error.message)\n }\n\n if (message.error && !emittedError) {\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", timestamp, { error: message.error })) UI.error(message.error.message)\n }\n }\n return {\n found: projected.found,\n responded: projected.messages.some((message) => message.type === \"assistant\"),\n }\n }\n\n const interrupt = () => {\n if (interrupted) process.exit(130)\n interrupted = true\n process.exitCode = 130\n admission?.abort()\n void input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n process.on(\"SIGINT\", interrupt)\n\n let completed: Promise<void> | undefined\n try {\n if (input.agent) {\n await input.client.session.switchAgent({ sessionID: input.sessionID, agent: input.agent })\n }\n const selected = input.model\n ? { providerID: input.model.providerID, id: input.model.modelID, variant: input.variant }\n : input.variant\n ? await input.client.session\n .get({ sessionID: input.sessionID })\n .then((result) => result.model)\n .then(async (model) => {\n if (model) return { ...model, variant: input.variant }\n const result = await input.client.model.default()\n const fallback = result.data\n return fallback ? { providerID: fallback.providerID, id: fallback.id, variant: input.variant } : undefined\n })\n : undefined\n if (input.variant && !selected) throw new Error(\"Cannot select a variant before selecting a model\")\n if (selected) {\n await input.client.session.switchModel({ sessionID: input.sessionID, model: selected })\n }\n\n const prepared = await Promise.all(input.files.map(prepareFile))\n if (interrupted) return\n submitted = true\n completed = consume()\n admission = new AbortController()\n const response = await input.client.session\n .prompt(\n {\n sessionID: input.sessionID,\n id: messageID,\n text: [input.message, ...prepared.flatMap((file) => (file.text ? [file.text] : []))].join(\"\\n\\n\"),\n files: prepared.flatMap((file) => (file.attachment ? [file.attachment] : [])),\n delivery: \"steer\",\n },\n { signal: admission.signal },\n )\n .catch(async (error) => {\n if (interrupted) {\n await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n controller.abort()\n await completed?.catch(() => {})\n if (interrupted || emittedError) return undefined\n throw error\n })\n admission = undefined\n if (!response) return\n if (interrupted) await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n\n const [permissions, forms, globals] = await Promise.all([\n input.client.permission.list({ sessionID: input.sessionID }).catch(() => undefined),\n input.client.form.list({ sessionID: input.sessionID }).catch(() => undefined),\n input.attached\n ? Promise.resolve(undefined)\n : input.client.form.request\n .list({\n location: { directory: input.location.directory, workspace: input.location.workspaceID },\n })\n .catch(() => undefined),\n ])\n await Promise.all([\n ...(permissions ?? []).map(replyPermission),\n ...(forms ?? []).map(cancelForm),\n ...(globals && sameLocation(globals.location, input.location)\n ? globals.data.filter((form) => form.sessionID === GLOBAL_FORM_SESSION_ID).map(cancelForm)\n : []),\n ])\n if (input.compatibility === \"v1\") {\n await completed\n return\n }\n\n const waiting = input.client.session.wait({ sessionID: input.sessionID })\n await Promise.race([waiting, completed.then(() => waiting)])\n finalizing = true\n const projected = await reconcile()\n if (\n !projected.responded &&\n !interrupted &&\n !permissionRejected &&\n !formCancelled &&\n !emittedError &&\n !prePromotionError\n ) {\n await completed\n }\n if (!projected.found && !interrupted && !permissionRejected && !formCancelled && !emittedError) {\n const error = prePromotionError ?? { type: \"unknown\", message: \"Prompt was not promoted\" }\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", Date.now(), { error })) UI.error(error.message)\n }\n } finally {\n process.off(\"SIGINT\", interrupt)\n controller.abort()\n if (input.compatibility === \"v1\") await stream.return?.(undefined).catch(() => {})\n else void stream.return?.(undefined).catch(() => {})\n }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n if (!location) return []\n return [\n {\n headers: {\n \"x-opencode-directory\": encodeURIComponent(location.directory),\n ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n },\n },\n ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, id: string) {\n return `${messageID}\\u0000${id}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n id: string\n created: number\n data: { assistantMessageID: string; id: string }\n}): ToolState {\n return {\n id: partID(event.id),\n timestamp: toMillis(event.created),\n assistantMessageID: event.data.assistantMessageID,\n tool: \"tool\",\n input: {},\n metadata: {},\n content: [],\n }\n}\n\nfunction toMillis(value: unknown) {\n if (typeof value === \"number\") return value\n if (typeof value === \"string\") return new Date(value).getTime()\n return Date.now()\n}\n\nasync function prepareFile(file: File) {\n if (file.mime !== \"text/plain\") {\n const uri = file.url.startsWith(\"data:\")\n ? file.url\n : `data:${file.mime};base64,${(await readFile(new URL(file.url))).toString(\"base64\")}`\n return { attachment: { uri, name: file.filename } }\n }\n const content = file.url.startsWith(\"data:\")\n ? Buffer.from(file.url.slice(file.url.indexOf(\",\") + 1), \"base64\").toString(\"utf8\")\n : await readFile(new URL(file.url), \"utf8\")\n return { text: `<file name=\"${file.filename}\">\\n${content}\\n</file>` }\n}\n", | ||
| "import { EOL } from \"node:os\"\n\nexport const Style = {\n TEXT_DIM: \"\\x1b[90m\",\n TEXT_NORMAL: \"\\x1b[0m\",\n TEXT_WARNING_BOLD: \"\\x1b[93m\\x1b[1m\",\n TEXT_DANGER_BOLD: \"\\x1b[91m\\x1b[1m\",\n}\n\nexport function println(...message: string[]) {\n process.stderr.write(message.join(\" \") + EOL)\n}\n\nlet blank = false\n\nexport function empty() {\n if (blank) return\n println(Style.TEXT_NORMAL)\n blank = true\n}\n\nexport function error(message: string) {\n if (message.startsWith(\"Error: \")) message = message.slice(\"Error: \".length)\n println(Style.TEXT_DANGER_BOLD + \"Error: \" + Style.TEXT_NORMAL + message)\n}\n\nexport * as UI from \"./ui\"\n" | ||
| ], | ||
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| ||
| "debugId": "B1BDBADAC80EDE5464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/restart.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.restart,\n Effect.fn(\"cli.service.restart\")(function* () {\n const options = yield* ServiceConfig.options()\n yield* Service.stop(options)\n const transport = yield* Service.ensure(options)\n process.stdout.write(transport.url + EOL)\n }),\n)\n" | ||
| ], | ||
| "mappings": ";+2BAAA,cAAS,WAOT,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,QACnC,EAAO,GAAG,qBAAqB,EAAE,SAAU,EAAG,CAC5C,IAAM,EAAU,MAAO,EAAc,QAAQ,EAC7C,MAAO,EAAQ,KAAK,CAAO,EAC3B,IAAM,EAAY,MAAO,EAAQ,OAAO,CAAO,EAC/C,QAAQ,OAAO,MAAM,EAAU,IAAM,CAAG,EACzC,CACH", | ||
| "debugId": "594AD327E802435764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-compatible-responses.ts", "../ai/src/providers/google-vertex-responses.ts"], | ||
| "sourcesContent": [ | ||
| "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst ADAPTER = \"openai-compatible-responses\"\n\nexport type OpenAICompatibleResponsesLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Deployment adapter for providers that expose an Open Responses-compatible\n * `/responses` endpoint. Provider helpers configure identity, endpoint, and\n * auth while the semantic protocol remains provider-neutral.\n */\nexport const route = Route.make({\n id: ADAPTER,\n providerMetadataKey: \"openresponses\",\n protocol: OpenResponses.protocol,\n endpoint: Endpoint.path(OpenResponses.PATH),\n transport: OpenResponses.httpTransport,\n defaults: { providerOptions: { store: false, include: [\"reasoning.encrypted_content\"] } },\n})\n\nexport * as OpenAICompatibleResponses from \"./openai-compatible-responses.js\"\n", | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleResponses } from \"../protocols/openai-compatible-responses.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenResponsesProviderOptionsInput } from \"./open-responses-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenResponsesProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenResponsesProviderOptionsInput\n}\n\nconst route = OpenAICompatibleResponses.route.with({\n id: \"google-vertex-responses\",\n provider: id,\n providerOptions: { store: false },\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined)\n throw new Error(\"Google Vertex Responses does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Responses does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "F81FB259DE91E7D464756E2164756E21", | ||
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| } |
| { | ||
| "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": "A4D962A6BE9CB17264756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/lifecycle.ts", "../ai/src/protocols/utils/gemini-tool-schema.ts", "../ai/src/protocols/utils/tool-schema.ts"], | ||
| "sourcesContent": [ | ||
| "import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from \"../../schema/index.js\"\n\nexport interface State {\n readonly stepStarted: boolean\n readonly text: ReadonlySet<string>\n readonly reasoning: ReadonlySet<string>\n}\n\nexport const initial = (): State => ({ stepStarted: false, text: new Set(), reasoning: new Set() })\n\nexport const stepStart = (state: State, events: LLMEvent[]): State => {\n if (state.stepStarted) return state\n events.push(LLMEvent.stepStart({ index: 0 }))\n return { ...state, stepStarted: true }\n}\n\nexport const textStart = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textStart({ id, providerMetadata }))\n return { ...stepped, text: new Set([...stepped.text, id]) }\n}\n\nexport const textDelta = (\n state: State,\n events: LLMEvent[],\n id: string,\n text: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n const started = textStart(state, events, id)\n events.push(LLMEvent.textDelta({ id, text, providerMetadata }))\n return started\n}\n\nexport const reasoningStart = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningStart({ id, providerMetadata }))\n return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }\n}\n\nexport const reasoningDelta = (\n state: State,\n events: LLMEvent[],\n id: string,\n text: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n const started = reasoningStart(state, events, id, providerMetadata)\n events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))\n return started\n}\n\nexport const reasoningEnd = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (!state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningEnd({ id, providerMetadata }))\n const reasoning = new Set(stepped.reasoning)\n reasoning.delete(id)\n return { ...stepped, reasoning }\n}\n\nexport const textEnd = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (!state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textEnd({ id, providerMetadata }))\n const text = new Set(stepped.text)\n text.delete(id)\n return { ...stepped, text }\n}\n\nconst closeOpenBlocks = (state: State, events: LLMEvent[]): State => {\n for (const id of state.reasoning) events.push(LLMEvent.reasoningEnd({ id }))\n for (const id of state.text) events.push(LLMEvent.textEnd({ id }))\n return { ...state, text: new Set(), reasoning: new Set() }\n}\n\nexport const finish = (\n state: State,\n events: LLMEvent[],\n input: {\n readonly reason: FinishReasonDetails\n readonly usage?: Usage\n readonly providerMetadata?: ProviderMetadata\n },\n): State => {\n const stepped = closeOpenBlocks(stepStart(state, events), events)\n events.push(\n LLMEvent.stepFinish({\n index: 0,\n reason: input.reason,\n usage: input.usage,\n providerMetadata: input.providerMetadata,\n }),\n LLMEvent.finish(input),\n )\n return { ...stepped, stepStarted: false }\n}\n\nexport * as Lifecycle from \"./lifecycle.js\"\n", | ||
| "import { isRecord } from \"../../utils/record.js\"\n\n// Gemini accepts a JSON Schema-like dialect for tool parameters, but rejects a\n// handful of common JSON Schema shapes. Keep this projection isolated so the\n// Gemini protocol file still reads like the other protocol modules.\nconst SCHEMA_INTENT_KEYS = [\n \"type\",\n \"properties\",\n \"items\",\n \"prefixItems\",\n \"enum\",\n \"const\",\n \"$ref\",\n \"additionalProperties\",\n \"patternProperties\",\n \"required\",\n \"not\",\n \"if\",\n \"then\",\n \"else\",\n]\n\nconst hasCombiner = (schema: unknown) =>\n isRecord(schema) && (Array.isArray(schema.anyOf) || Array.isArray(schema.oneOf) || Array.isArray(schema.allOf))\n\nconst hasSchemaIntent = (schema: unknown) =>\n isRecord(schema) && (hasCombiner(schema) || SCHEMA_INTENT_KEYS.some((key) => key in schema))\n\nconst sanitizeNode = (schema: unknown): unknown => {\n if (!isRecord(schema)) return Array.isArray(schema) ? schema.map(sanitizeNode) : schema\n\n const result: Record<string, unknown> = Object.fromEntries(\n Object.entries(schema).map(([key, value]) => [\n key,\n key === \"enum\" && Array.isArray(value) ? value.map(String) : sanitizeNode(value),\n ]),\n )\n\n if (Array.isArray(result.enum) && (result.type === \"integer\" || result.type === \"number\")) result.type = \"string\"\n\n const properties = result.properties\n if (result.type === \"object\" && isRecord(properties) && Array.isArray(result.required)) {\n result.required = result.required.filter((field) => typeof field === \"string\" && field in properties)\n }\n\n if (result.type === \"array\" && !hasCombiner(result)) {\n result.items = result.items ?? {}\n if (isRecord(result.items) && !hasSchemaIntent(result.items)) result.items = { ...result.items, type: \"string\" }\n }\n\n if (typeof result.type === \"string\" && result.type !== \"object\" && !hasCombiner(result)) {\n delete result.properties\n delete result.required\n }\n\n return result\n}\n\nconst emptyObjectSchema = (schema: Record<string, unknown>) =>\n schema.type === \"object\" &&\n (!isRecord(schema.properties) || Object.keys(schema.properties).length === 0) &&\n !schema.additionalProperties\n\nconst projectNode = (schema: unknown, nested = false): Record<string, unknown> | undefined => {\n if (!isRecord(schema)) return undefined\n if (!nested && emptyObjectSchema(schema)) return undefined\n const types = Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\") : undefined\n const anyOf = Array.isArray(schema.anyOf) ? schema.anyOf : undefined\n const hasNullAnyOf = anyOf?.some((item) => isRecord(item) && item.type === \"null\") ?? false\n const anyOfTypes = hasNullAnyOf ? anyOf?.filter((item) => !isRecord(item) || item.type !== \"null\") : anyOf\n const flattenedAnyOf = hasNullAnyOf && anyOfTypes?.length === 1 ? projectNode(anyOfTypes[0], true) : undefined\n const result = Object.fromEntries(\n [\n [\"description\", schema.description],\n [\"required\", schema.required],\n [\"format\", schema.format],\n [\"type\", types ? (types.length === 0 ? \"null\" : undefined) : schema.type],\n [\n \"nullable\",\n (Array.isArray(schema.type) && schema.type.includes(\"null\") && types && types.length > 0) || hasNullAnyOf\n ? true\n : undefined,\n ],\n [\"enum\", schema.const !== undefined ? [schema.const] : schema.enum],\n [\n \"properties\",\n isRecord(schema.properties)\n ? Object.fromEntries(Object.entries(schema.properties).map(([key, value]) => [key, projectNode(value, true)]))\n : undefined,\n ],\n [\n \"items\",\n Array.isArray(schema.items)\n ? schema.items.map((item) => projectNode(item, true))\n : schema.items === undefined\n ? undefined\n : projectNode(schema.items, true),\n ],\n [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map((item) => projectNode(item, true)) : undefined],\n [\n \"anyOf\",\n anyOfTypes\n ? hasNullAnyOf && anyOfTypes.length === 1\n ? undefined\n : anyOfTypes.map((item) => projectNode(item, true))\n : types && types.length > 0\n ? types.map((type) => ({ type }))\n : undefined,\n ],\n [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map((item) => projectNode(item, true)) : undefined],\n [\"minLength\", schema.minLength],\n ].filter((entry) => entry[1] !== undefined),\n )\n return flattenedAnyOf ? { ...result, ...flattenedAnyOf } : result\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema.js\"\n", | ||
| "import type { JsonSchema, LanguageModelToolSchemaCompatibility } from \"../../schema/index.js\"\nimport { isRecord } from \"../../utils/record.js\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema.js\"\n\nconst 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 => schema\nconst responses = openAI\n\nconst gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n schema: JsonSchema,\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n): JsonSchema => {\n if (compatibility === undefined) return schema\n switch (compatibility) {\n case \"gemini\":\n return gemini(schema)\n case \"moonshot\":\n return moonshot(schema)\n }\n}\n\nexport const ToolSchemaProjection = {\n gemini,\n modelCompatibility,\n moonshot,\n openAI,\n responses,\n} as const\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/debug/config.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.debug.commands.config,\n Effect.fn(\"cli.debug.config\")(function* () {\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const entries = yield* Effect.promise(() => client.config.get({ location: { directory: process.cwd() } }))\n process.stdout.write(JSON.stringify(entries, null, 2) + EOL)\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/version.ts"], | ||
| "sourcesContent": [ | ||
| "declare const OPENCODE_VERSION: string\ndeclare const OPENCODE_CHANNEL: string\n\nconst version = typeof OPENCODE_VERSION === \"string\" ? OPENCODE_VERSION : \"local\"\nconst channel = typeof OPENCODE_CHANNEL === \"string\" ? OPENCODE_CHANNEL : \"local\"\n\nexport { version as OPENCODE_VERSION, channel as OPENCODE_CHANNEL }\nexport const OPENCODE_LOCAL = channel === \"local\"\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mini.ts"], | ||
| "sourcesContent": [ | ||
| "import { Context, Effect, FileSystem, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { Config } from \"../../config\"\nimport { resolve } from \"@opencode-ai/tui/config\"\nimport { Global } from \"@opencode-ai/util/global\"\n\nexport default Runtime.handler(Commands.commands.mini, (input) =>\n Effect.gen(function* () {\n const { runMini, validateMiniTerminal } = yield* Effect.promise(() => import(\"../../mini\"))\n yield* Effect.promise(async () => validateMiniTerminal())\n const serverURL = Option.getOrUndefined(input.server)\n const server = yield* ServerConnection.resolve({\n server: serverURL,\n standalone: input.standalone,\n mismatch: \"replace\",\n })\n const config = yield* Config.Service\n const global = yield* Global.Service\n const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== \"win32\" })\n const fileSystem = yield* FileSystem.FileSystem\n const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))\n const service = server.service\n yield* Effect.promise(() =>\n runMini({\n server: {\n endpoint: server.endpoint,\n reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,\n },\n continue: input.continue,\n session: Option.getOrUndefined(input.session),\n fork: input.fork,\n model: Option.getOrUndefined(input.model),\n agent: Option.getOrUndefined(input.agent),\n prompt: Option.getOrUndefined(input.prompt),\n replay: Option.getOrUndefined(input.replay) ?? resolved.mini?.replay ?? true,\n replayLimit: Option.getOrUndefined(input.replayLimit) ?? resolved.mini?.replay_limit,\n demo: input.demo,\n tuiConfig: resolved,\n config: {\n update: (update) => runServicePromise(config.update(update)),\n },\n paths: { home: global.home, state: global.state, log: global.log },\n }),\n )\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/openai-image.ts", "../ai/src/protocols/openai-responses.ts", "../ai/src/providers/openai-options.ts"], | ||
| "sourcesContent": [ | ||
| "import { Schema } from \"effect\"\n\nconst dimensions = (value: string) => {\n const match = /^(\\d+)x(\\d+)$/.exec(value)\n if (!match) return undefined\n return { width: Number(match[1]), height: Number(match[2]) }\n}\n\nexport const Size = Schema.String.check(\n Schema.makeFilter((value) => {\n if (value === \"auto\") return undefined\n const parsed = dimensions(value)\n if (!parsed) return \"image size must be `auto` or `{width}x{height}`\"\n return parsed.width > 0 && parsed.height > 0 ? undefined : \"image dimensions must be positive integers\"\n }),\n)\n\nexport const OpenAIImage = {\n Size,\n} as const\n", | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { LLMRequest, type JsonSchema, type ToolDefinition } from \"../schema/index.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { optionalArray, ProviderShared } from \"./shared.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\nimport { ResponsesHostedTools } from \"./utils/responses-hosted-tools.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { OpenResponsesChannel } from \"./open-responses-channel.js\"\n\nconst ADAPTER = \"openai-responses\"\nconst NAME = \"OpenAI Responses\"\nconst WEBSOCKET_PROTOCOL_HEADER = \"responses_websockets=2026-02-06\"\nconst WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = OpenResponses.PATH\n\nconst OpenAIResponsesImageGenerationTool = Schema.Struct({\n type: Schema.tag(\"image_generation\"),\n action: Schema.optional(Schema.Literals([\"auto\", \"generate\", \"edit\"])),\n background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n input_fidelity: Schema.optional(Schema.Literals([\"low\", \"high\"])),\n output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),\n quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n size: Schema.optional(OpenAIImage.Size),\n})\n\nconst OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool])\n\nconst OpenAIResponsesToolChoice = Schema.Union([\n OpenResponses.ToolChoice,\n Schema.Struct({ type: Schema.tag(\"image_generation\") }),\n])\n\nconst OpenAIResponsesCoreFields = {\n ...OpenResponses.coreFields,\n tools: optionalArray(OpenAIResponsesTools),\n tool_choice: Schema.optional(OpenAIResponsesToolChoice),\n}\n\nconst OpenAIResponsesBody = Schema.Struct({\n ...OpenAIResponsesCoreFields,\n stream: Schema.Literal(true),\n})\nexport type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>\n\n// Replayed items are paired with stored server state by id, so a foreign or\n// synthetic token can fail request validation even when `call_id` pairing is\n// intact. Only resend ids in each item kind's own grammar; hosted tool\n// references keep generic validation because every hosted tool mints its own\n// prefix. The same allowlist approach codex uses before resending history\n// (codex-rs core/src/client.rs, `prepare_response_items_for_request`).\nconst ITEM_ID_PREFIXES: Record<OpenResponses.ItemKind, ReadonlyArray<string>> = {\n message: [\"msg_\"],\n reasoning: [\"rs_\"],\n \"function-call\": [\"fc_\"],\n // Every hosted tool mints its own id prefix, so references keep generic\n // validation only.\n reference: [],\n}\n\nconst extension = {\n id: ADAPTER,\n name: NAME,\n acceptsItemID: (kind: OpenResponses.ItemKind, id: string) => {\n const prefixes = ITEM_ID_PREFIXES[kind]\n return prefixes.length === 0 || prefixes.some((prefix) => id.startsWith(prefix))\n },\n} satisfies OpenResponses.Extension\n\nconst nativeImageToolInput = (tool: ToolDefinition) => {\n const native = tool.native?.openai\n return ProviderShared.isRecord(native) && native.type === \"image_generation\" ? native : undefined\n}\n\nconst nativeImageTool = (tool: ToolDefinition) => {\n const native = nativeImageToolInput(tool)\n return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined\n}\n\nconst lowerTool = Effect.fn(\"OpenAIResponses.lowerTool\")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {\n const native = nativeImageToolInput(tool)\n if (native !== undefined) {\n if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native\n return yield* ProviderShared.invalidRequest(\"OpenAI Responses image generation tool options are invalid\")\n }\n return yield* OpenResponses.lowerTool(NAME, tool, inputSchema)\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>, tools: ReadonlyArray<ToolDefinition>) =>\n ProviderShared.matchToolChoice(NAME, toolChoice, {\n auto: () => \"auto\" as const,\n none: () => \"none\" as const,\n required: () => \"required\" as const,\n tool: (name) =>\n tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)\n ? ({ type: \"image_generation\" } as const)\n : { type: \"function\" as const, name },\n })\n\nconst fromRequest = Effect.fn(\"OpenAIResponses.fromRequest\")(function* (request: LLMRequest) {\n const body = yield* OpenResponses.fromRequestWithExtension(\n LLMRequest.update(request, { tools: [], toolChoice: undefined }),\n extension,\n )\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n const parallelToolCalls = OpenResponses.resolveParallelToolCalls(request)\n return {\n ...body,\n ...(parallelToolCalls === undefined ? {} : { parallel_tool_calls: parallelToolCalls }),\n tools:\n request.tools.length === 0\n ? undefined\n : yield* Effect.forEach(request.tools, (tool) =>\n lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n ),\n tool_choice:\n body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined),\n } satisfies OpenAIResponsesBody\n})\n\nconst hostedToolResult = Effect.fn(\"OpenAIResponses.hostedToolResult\")(function* (item: ResponsesHostedTools.Item) {\n const isError = item.error !== undefined && item.error !== null\n if (item.type === \"image_generation_call\" && item.result) {\n yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(\n Effect.mapError(() => ProviderShared.eventError(ADAPTER, \"OpenAI Responses returned invalid image base64\")),\n )\n const format = item.output_format ?? \"png\"\n return {\n type: \"content\" as const,\n value: [\n {\n type: \"file\" as const,\n uri: `data:image/${format};base64,${item.result}`,\n mime: `image/${format}`,\n },\n ],\n }\n }\n return isError ? { type: \"error\" as const, value: item.error } : { type: \"json\" as const, value: item }\n})\n\nconst HOSTED_TOOLS = {\n web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n web_search_preview_call: { name: \"web_search_preview\", input: (item) => item.action ?? {} },\n file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n code_interpreter_call: {\n name: \"code_interpreter\",\n input: (item) => ({ code: item.code, container_id: item.container_id }),\n },\n computer_call: { name: \"computer_use\", input: (item) => item.action ?? {} },\n image_generation_call: { name: \"image_generation\", input: () => ({}), result: hostedToolResult },\n mcp_call: {\n name: \"mcp\",\n input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n },\n} as const satisfies ResponsesHostedTools.Definitions\n\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n if (event.type === \"response.reasoning_text.delta\")\n return event.item_id\n ? Effect.succeed(OpenResponses.onReasoningDelta(state, event, event.item_id))\n : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n if (event.type === \"response.output_item.done\" && event.item && ResponsesHostedTools.isItem(event.item, HOSTED_TOOLS))\n return ResponsesHostedTools.onDone(state, event.item, HOSTED_TOOLS)\n return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: OpenAIResponsesBody,\n from: fromRequest,\n },\n stream: {\n event: OpenResponses.protocol.stream.event,\n initial: (request) => OpenResponses.initial(request, extension),\n step,\n terminal: OpenResponses.terminal,\n },\n})\n\nconst endpoint = Endpoint.path<OpenAIResponsesBody>(PATH, { baseURL: DEFAULT_BASE_URL })\nconst auth = Auth.none\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIResponsesBody>()\nexport const channelTransport = OpenResponsesChannel.transport<OpenAIResponsesBody>\nexport const transport = channelTransport({\n id: ADAPTER,\n name: NAME,\n rotateAfterMs: WEBSOCKET_ROTATE_AFTER_MS,\n headers: (headers) => Headers.set(headers, \"openai-beta\", headers[\"openai-beta\"] ?? WEBSOCKET_PROTOCOL_HEADER),\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"openai\",\n providerMetadataKey: \"openai\",\n protocol,\n endpoint,\n auth,\n transport,\n defaults: { providerOptions: { store: false, include: [\"reasoning.encrypted_content\"] } },\n})\n\nexport * as OpenAIResponses from \"./openai-responses.js\"\n", | ||
| "import { mergeProviderOptions, type ProviderOptions } from \"../schema/index.js\"\nimport type { OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\nimport type { Options } from \"../protocols/utils/open-responses-options.js\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\n\nexport type OpenAIOptionsInput = Omit<Options, \"serviceTier\"> & {\n readonly serviceTier?: OpenAIServiceTier\n readonly [key: string]: unknown\n}\n\nexport type OpenAIProviderOptionsInput = OpenAIOptionsInput\n\nconst definedEntries = (input: Record<string, unknown>) =>\n Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n const result = Object.fromEntries(\n definedEntries({\n store: options?.store,\n reasoningEffort: options?.reasoningEffort,\n reasoningSummary: options?.reasoningSummary,\n include: options?.include,\n textVerbosity: options?.textVerbosity,\n serviceTier: options?.serviceTier,\n }),\n )\n if (Object.keys(result).length === 0) return undefined\n return result\n}\n\nexport const gpt5DefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n const id = modelID.toLowerCase()\n if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n return openAIProviderOptions({\n reasoningEffort: \"medium\",\n reasoningSummary: \"auto\",\n // GPT-5 reasoning models are configured stateless (`store: false`) by\n // `openAIDefaultOptions` below, so the only way a follow-up turn can\n // carry reasoning state is via the encrypted reasoning include. Without\n // this, callers using the default model facade get reasoning summaries\n // they cannot replay statelessly.\n include: [\"reasoning.encrypted_content\"],\n textVerbosity:\n options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n ? \"low\"\n : undefined,\n })\n}\n\nexport const openAIDefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n modelID: string,\n options: Options,\n defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n return {\n ...options,\n providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "A238ACF7D95A234964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-images.ts", "../ai/src/providers/openai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest, HttpClientResponse } from \"effect/unstable/http\"\nimport {\n ImageModel,\n GeneratedImage,\n ImageResponse,\n type ImageInput,\n type ImageRequestFor,\n type ImageRoute,\n} from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type OpenAIImageString<Known extends string> = Known | (string & {})\n\nexport type OpenAIImageOptions = {\n readonly mask?: ImageInput\n readonly n?: number\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly moderation?: OpenAIImageString<\"auto\" | \"low\">\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly outputCompression?: number\n} & Record<string, unknown>\n\nexport type OpenAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst OpenAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: Schema.optional(Schema.String),\n url: Schema.optional(Schema.String),\n revised_prompt: Schema.optional(Schema.String),\n }),\n ),\n output_format: Schema.optional(Schema.String),\n usage: Schema.optional(\n Schema.Struct({\n input_tokens: Schema.optional(Schema.Number),\n output_tokens: Schema.optional(Schema.Number),\n total_tokens: Schema.optional(Schema.Number),\n input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n }),\n ),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: OpenAIImageOptions | undefined) => {\n if (!options) return undefined\n const { mask: _, outputFormat, outputCompression, ...native } = options\n return {\n output_format: outputFormat,\n output_compression: outputCompression,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<OpenAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequestFor<OpenAIImageOptions>, execute) {\n const mask = request.options?.mask\n if (mask !== undefined && (request.images?.length ?? 0) === 0)\n return yield* ImageInputs.invalid(ADAPTER, \"An OpenAI image mask requires at least one input image\")\n const http = mergeHttpOptions(request.model.http, request.http)\n const sourceImages = request.images ?? []\n const multipartImages = yield* Effect.forEach(sourceImages, (image) => {\n if (image.type === \"bytes\") return Effect.succeed({ data: image.data, mediaType: image.mediaType })\n if (image.type === \"url\") return ImageInputs.decodeDataUrl(image.url, ADAPTER)\n return Effect.undefined\n })\n const multipartMask =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { data: mask.data, mediaType: mask.mediaType }\n : mask.type === \"url\"\n ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)\n : undefined\n const useMultipart =\n sourceImages.length > 0 &&\n multipartImages.every((image) => image !== undefined) &&\n (mask === undefined || multipartMask !== undefined)\n const path = sourceImages.length === 0 ? PATH : EDIT_PATH\n const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${path}`, http?.query)\n\n if (useMultipart) {\n const form = new FormData()\n form.append(\"model\", request.model.id)\n form.append(\"prompt\", request.prompt)\n Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {\n if ([\"model\", \"prompt\", \"image\", \"image[]\", \"images\", \"mask\"].includes(key)) return\n form.append(key, typeof value === \"string\" ? value : ProviderShared.encodeJson(value))\n })\n multipartImages.forEach((image, index) => {\n if (image === undefined) return\n form.append(\"image[]\", imageBlob(image.data, image.mediaType), `image-${index}`)\n })\n if (multipartMask !== undefined)\n form.append(\"mask\", imageBlob(multipartMask.data, multipartMask.mediaType), \"mask\")\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: \"[multipart/form-data]\",\n headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), \"content-type\"),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }\n\n const references = sourceImages.map((image) => {\n if (image.type === \"bytes\") return { image_url: ImageInputs.dataUrl(image) }\n if (image.type === \"url\") return { image_url: image.url }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (references.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const maskReference =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { image_url: ImageInputs.dataUrl(mask) }\n : mask.type === \"url\"\n ? { image_url: mask.url }\n : mask.type === \"file-id\"\n ? { file_id: mask.id }\n : undefined\n if (mask !== undefined && maskReference === undefined)\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n images: references.length === 0 ? undefined : references,\n mask: maskReference,\n },\n nativeOptions(request.options),\n http?.body,\n ) as OpenAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }),\n }\n return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: \"openai\", route, http: input.http })\n}\n\nconst parseResponse = Effect.fn(\"OpenAIImages.parseResponse\")(function* (\n response: HttpClientResponse.HttpClientResponse,\n options: OpenAIImageOptions | undefined,\n overlay: Record<string, unknown> | undefined,\n) {\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the OpenAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"OpenAI Images returned an invalid response\")),\n )\n const requestBody = mergeJsonRecords(nativeOptions(options), overlay)\n const format =\n decoded.output_format ?? (typeof requestBody?.output_format === \"string\" ? requestBody.output_format : \"png\")\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType: `image/${format}`,\n data,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType: `image/${format}`,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"OpenAI Images returned no images\")\n return new ImageResponse({\n images,\n usage:\n decoded.usage === undefined\n ? undefined\n : new Usage({\n inputTokens: decoded.usage.input_tokens,\n outputTokens: decoded.usage.output_tokens,\n totalTokens: decoded.usage.total_tokens,\n providerMetadata: { openai: decoded.usage },\n }),\n providerMetadata: { openai: { outputFormat: format } },\n })\n})\n\nconst imageBlob = (data: Uint8Array, mediaType: string) => {\n const buffer = new ArrayBuffer(data.byteLength)\n new Uint8Array(buffer).set(data)\n return new Blob([buffer], { type: mediaType })\n}\n\nexport const OpenAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images.js\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options.js\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images.js\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly queryParams?: Record<string, string>\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface ImageGenerationOptions {\n readonly action?: OpenAIImageString<\"auto\" | \"generate\" | \"edit\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly inputFidelity?: OpenAIImageString<\"low\" | \"high\">\n readonly outputCompression?: number\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly partialImages?: number\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n ToolDefinition.make({\n name: \"image_generation\",\n description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n native: {\n openai: {\n type: \"image_generation\",\n action: options.action,\n background: options.background,\n input_fidelity: options.inputFidelity,\n output_compression: options.outputCompression,\n output_format: options.outputFormat,\n partial_images: options.partialImages,\n quality: options.quality,\n size: options.size,\n },\n },\n })\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly organization?: string\n readonly project?: string\n readonly queryParams?: Readonly<Record<string, string>>\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input\n return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n route.with({\n auth: auth(input),\n endpoint: { baseURL: input.baseURL, query: input.queryParams },\n })\n\nexport const configure = (input: Config = {}) => {\n const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n const chatRoute = configuredRoute(OpenAIChat.route, input)\n const modelDefaults = defaults(input)\n const responses = (id: string | ModelID) =>\n responsesRoute\n .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n .model<OpenAIProviderOptionsInput>({ id })\n const chat = (id: string | ModelID) =>\n chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })\n const image = (modelID: string | ModelID) =>\n OpenAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL,\n headers: input.headers,\n http: mergeHttpOptions(\n input.http === undefined ? undefined : HttpOptions.make(input.http),\n input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),\n ),\n })\n\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n const headers = {\n ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n ...settings.headers,\n }\n return {\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: Object.keys(headers).length === 0 ? undefined : headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n }\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n return configure(config(settings)).responses(modelID)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
| ], | ||
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| "debugId": "367C7BB6EFDAF5B464756E2164756E21", | ||
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| } |
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| { | ||
| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n const integration = yield* resolveIntegration(client, input.name, location)\n if (!integration)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n const method = integration.methods.find(\n (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n )\n if (!method)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n const started = yield* Effect.promise(() =>\n client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, location }),\n )\n const attempt = started.data\n if (attempt.mode === \"code\")\n return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n const result = yield* poll(client, integration.id, attempt.attemptID)\n if (result.status === \"complete\") {\n process.stdout.write(`Authenticated with ${input.name}` + EOL)\n return\n }\n const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n }),\n)\n\nconst poll = (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n Effect.gen(function* () {\n const status = yield* Effect.promise(() =>\n client.integration.oauth.status({ integrationID, attemptID, location }),\n ).pipe(Effect.map((result) => result.data))\n if (status.status === \"pending\") {\n yield* Effect.sleep(\"1 second\")\n return yield* poll(client, integrationID, attemptID)\n }\n return status\n })\n" | ||
| ], | ||
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| "debugId": "AD339DDBA3A024CC64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/azure.ts"], | ||
| "sourcesContent": [ | ||
| "import { Headers } from \"effect/unstable/http\"\nimport { Auth } from \"../route/auth.js\"\nimport { type AtLeastOne, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { ProviderShared } from \"../protocols/shared.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"azure\")\nconst routeAuth = Auth.remove(\"authorization\")\nconst RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\n\n// Azure needs the customer's resource URL; supply either `resourceName`\n// (helper builds the URL) or `baseURL` directly.\ntype AzureURL = AtLeastOne<{ readonly resourceName: string; readonly baseURL: string }>\n\nexport type LanguageModelOptions = AzureURL &\n RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly apiVersion?: string\n readonly queryParams?: Record<string, string>\n readonly useDeploymentBasedUrls?: boolean\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\nexport type Config = LanguageModelOptions\n\nexport type Settings = ProviderPackage.Settings &\n AzureURL & {\n readonly apiKey?: string\n readonly apiVersion?: string\n readonly queryParams?: Readonly<Record<string, string>>\n readonly useDeploymentBasedUrls?: boolean\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nconst resourceBaseURL = (resourceName: string) => `https://${resourceName.trim()}.openai.azure.com/openai`\n\nconst responsesRoute = OpenAIResponses.route.with({\n id: \"azure-openai-responses\",\n provider: id,\n auth: routeAuth,\n transport: OpenAIResponses.channelTransport({\n id: \"azure-openai-responses\",\n name: \"Azure OpenAI Responses\",\n rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,\n enabled: (value) => {\n const url = new URL(value)\n return (\n url.protocol === \"https:\" &&\n url.hostname.endsWith(\".openai.azure.com\") &&\n url.pathname.endsWith(\"/openai/v1/responses\") &&\n url.searchParams.get(\"api-version\") === \"v1\"\n )\n },\n url: (value) => {\n const url = new URL(value)\n url.searchParams.delete(\"api-version\")\n return url.toString()\n },\n headers: (headers) => {\n const apiKey = headers[\"api-key\"]\n if (!apiKey) return headers\n return Headers.remove(Headers.set(headers, \"authorization\", `Bearer ${apiKey}`), \"api-key\")\n },\n }),\n})\n\nconst chatRoute = OpenAIChat.route.with({\n id: \"azure-openai-chat\",\n provider: id,\n auth: routeAuth,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst defaults = (input: Config) => {\n const {\n apiKey: _,\n apiVersion: _apiVersion,\n resourceName: _resourceName,\n useDeploymentBasedUrls: _useDeploymentBasedUrls,\n baseURL: _baseURL,\n queryParams: _queryParams,\n ...rest\n } = input\n if (\"auth\" in rest) {\n const { auth: _, ...withoutAuth } = rest\n return withoutAuth\n }\n return rest\n}\n\nconst auth = (input: Config) => {\n if (\"auth\" in input && input.auth) return input.auth\n return Auth.remove(\"authorization\").andThen(\n Auth.optional(\"apiKey\" in input ? input.apiKey : undefined, \"apiKey\")\n .orElse(Auth.config(\"AZURE_OPENAI_API_KEY\"))\n .pipe(Auth.header(\"api-key\")),\n )\n}\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config, modelID: string | ModelID) =>\n route.with({\n auth: auth(input),\n endpoint: endpoint(input, modelID),\n })\n\nfunction endpoint(input: Config, modelID: string | ModelID) {\n const baseURL = ProviderShared.trimBaseUrl(input.baseURL ?? resourceBaseURL(input.resourceName!))\n const query = { \"api-version\": input.apiVersion ?? \"v1\", ...input.queryParams }\n\n if (input.useDeploymentBasedUrls) return { baseURL: `${baseURL}/deployments/${modelID}`, query }\n if (input.baseURL !== undefined && !new URL(input.baseURL).hostname.endsWith(\".openai.azure.com\")) {\n return { baseURL, query: input.queryParams }\n }\n return { baseURL: `${baseURL}/v1`, query }\n}\n\nexport const configure = (input: Config) => {\n const modelDefaults = defaults(input)\n\n const responses = (modelID: string | ModelID) =>\n configuredRoute(responsesRoute, input, modelID)\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n const chat = (modelID: string | ModelID) =>\n configuredRoute(chatRoute, input, modelID)\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n return {\n id,\n model: responses,\n responses,\n chat,\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nconst config = (settings: Settings): Config => {\n const common = {\n apiKey: settings.apiKey,\n apiVersion: settings.apiVersion,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n useDeploymentBasedUrls: settings.useDeploymentBasedUrls,\n }\n if (settings.baseURL !== undefined) return { ...common, baseURL: settings.baseURL }\n if (settings.resourceName !== undefined) return { ...common, resourceName: settings.resourceName }\n throw new Error(\"Azure requires resourceName or baseURL\")\n}\n\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).responses(modelID)\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const model = responsesModel\n" | ||
| ], | ||
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| "debugId": "C355FDB90678243C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/bedrock-auth.ts"], | ||
| "sourcesContent": [ | ||
| "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n readonly region: string\n readonly accessKeyId: string\n readonly secretAccessKey: string\n readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n readonly url: string\n readonly body: string\n readonly headers: Headers.Headers\n readonly credentials: Credentials\n readonly service: string\n readonly name: string\n}) =>\n Effect.tryPromise({\n try: async () => {\n const signed = await new AwsV4Signer({\n url: input.url,\n method: \"POST\",\n headers: Object.entries(input.headers),\n body: input.body,\n region: input.credentials.region,\n accessKeyId: input.credentials.accessKeyId,\n secretAccessKey: input.credentials.secretAccessKey,\n sessionToken: input.credentials.sessionToken,\n service: input.service,\n }).sign()\n return Object.fromEntries(signed.headers.entries())\n },\n catch: (error) =>\n ProviderShared.invalidRequest(\n `${input.name} SigV4 signing failed: ${error instanceof Error ? error.message : String(error)}`,\n ),\n })\n\n/** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */\nexport const sigV4 = (\n credentials: Credentials | undefined,\n options: { readonly service?: string; readonly name?: string } = {},\n) =>\n Auth.custom((input: AuthInput) => {\n return Effect.gen(function* () {\n if (!credentials) {\n return yield* ProviderShared.invalidRequest(\n `${options.name ?? \"Bedrock Converse\"} requires either route bearer auth or AWS credentials configured on the route`,\n )\n }\n const headersForSigning = Headers.set(input.headers, \"content-type\", \"application/json\")\n const signed = yield* signRequest({\n url: input.url,\n body: input.body,\n headers: headersForSigning,\n credentials,\n service: options.service ?? \"bedrock\",\n name: options.name ?? \"Bedrock Converse\",\n })\n return Headers.setAll(headersForSigning, signed)\n })\n })\n\n/** Bedrock route auth defaults to SigV4 and expects credentials from route configuration. */\nexport const auth = sigV4(undefined)\n\nexport * as BedrockAuth from \"./bedrock-auth.js\"\n" | ||
| ], | ||
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| "debugId": "5D2246CE92F27BD264756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/google-images.ts", "../ai/src/providers/google.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport {\n GeneratedImage,\n ImageModel,\n ImageResponse,\n type ImageInput,\n type ImageRequestFor,\n type ImageRoute,\n} from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n type ProviderMetadata,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\n\nconst ADAPTER = \"google-images\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\nexport type GoogleImageString<Known extends string> = Known | (string & {})\n\nexport type GoogleImageOptions = {\n readonly aspectRatio?: GoogleImageString<\n \"1:1\" | \"2:3\" | \"3:2\" | \"3:4\" | \"4:3\" | \"4:5\" | \"5:4\" | \"9:16\" | \"16:9\" | \"21:9\"\n >\n readonly imageSize?: GoogleImageString<\"1K\" | \"2K\" | \"4K\">\n readonly seed?: number\n readonly thinkingLevel?: GoogleImageString<\"MINIMAL\" | \"LOW\" | \"MEDIUM\" | \"HIGH\">\n readonly includeThoughts?: boolean\n} & Record<string, unknown>\n\nexport type GoogleImageBody = Record<string, unknown> & {\n readonly contents: ReadonlyArray<{\n readonly role: \"user\"\n readonly parts: ReadonlyArray<Record<string, unknown>>\n }>\n readonly generationConfig: Record<string, unknown>\n}\n\nconst GoogleUsage = Schema.StructWithRest(\n Schema.Struct({\n cachedContentTokenCount: Schema.optional(Schema.Number),\n thoughtsTokenCount: Schema.optional(Schema.Number),\n promptTokenCount: Schema.optional(Schema.Number),\n candidatesTokenCount: Schema.optional(Schema.Number),\n totalTokenCount: Schema.optional(Schema.Number),\n promptTokensDetails: Schema.optional(Schema.Unknown),\n candidatesTokensDetails: Schema.optional(Schema.Unknown),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst GoogleImageResponse = Schema.Struct({\n candidates: Schema.optional(\n Schema.Array(\n Schema.Struct({\n index: Schema.optional(Schema.Number),\n content: Schema.optional(\n Schema.Struct({\n parts: Schema.Array(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n thought: Schema.optional(Schema.Boolean),\n thoughtSignature: Schema.optional(Schema.String),\n inlineData: Schema.optional(\n Schema.Struct({\n mimeType: Schema.String,\n data: Schema.String,\n }),\n ),\n }),\n ),\n }),\n ),\n finishReason: Schema.optional(Schema.String),\n finishMessage: Schema.optional(Schema.String),\n safetyRatings: Schema.optional(Schema.Unknown),\n citationMetadata: Schema.optional(Schema.Unknown),\n groundingMetadata: Schema.optional(Schema.Unknown),\n }),\n ),\n ),\n usageMetadata: Schema.optional(GoogleUsage),\n modelVersion: Schema.optional(Schema.String),\n responseId: Schema.optional(Schema.String),\n promptFeedback: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: GoogleImageOptions | undefined) => {\n const { aspectRatio, imageSize, seed, thinkingLevel, includeThoughts, ...native } = options ?? {}\n const image = {\n aspectRatio,\n imageSize,\n }\n const thinkingConfig = {\n thinkingLevel,\n includeThoughts,\n }\n return (\n mergeJsonRecords(\n {\n responseModalities: [\"IMAGE\"],\n imageConfig: Object.values(image).some((value) => value !== undefined) ? image : undefined,\n seed,\n thinkingConfig: Object.values(thinkingConfig).some((value) => value !== undefined) ? thinkingConfig : undefined,\n },\n native,\n ) ?? { responseModalities: [\"IMAGE\"] }\n )\n}\n\nconst invalidOutput = (message: string, providerMetadata?: ProviderMetadata) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER, providerMetadata }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<GoogleImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"GoogleImages.generate\")(function* (request: ImageRequestFor<GoogleImageOptions>, execute) {\n const imageParts = yield* Effect.forEach(request.images ?? [], googleImagePart)\n const http = mergeHttpOptions(request.model.http, request.http)\n const requestBody = mergeJsonRecords(\n {\n contents: [{ role: \"user\", parts: [{ text: request.prompt }, ...imageParts] }],\n generationConfig: nativeOptions(request.options),\n },\n http?.body,\n ) as GoogleImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const url = applyQuery(\n `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}/models/${request.model.id}:generateContent`,\n http?.query,\n )\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the Google Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(GoogleImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"Google Images returned an invalid response\")),\n )\n const candidates = decoded.candidates ?? []\n const candidateMetadata = candidates.map((candidate, candidateIndex) => ({\n index: candidate.index ?? candidateIndex,\n finishReason: candidate.finishReason,\n finishMessage: candidate.finishMessage,\n safetyRatings: candidate.safetyRatings,\n citationMetadata: candidate.citationMetadata,\n groundingMetadata: candidate.groundingMetadata,\n parts: (candidate.content?.parts ?? []).map((part) =>\n part.inlineData === undefined\n ? {\n type: \"text\",\n text: part.text,\n thought: part.thought,\n thoughtSignature: part.thoughtSignature,\n }\n : {\n type: \"inlineData\",\n mediaType: part.inlineData.mimeType,\n thought: part.thought,\n thoughtSignature: part.thoughtSignature,\n },\n ),\n }))\n const encoded = candidates.flatMap((candidate, candidateIndex) =>\n (candidate.content?.parts ?? []).flatMap((part, partIndex) =>\n part.inlineData === undefined || part.thought === true\n ? []\n : [{ candidate, candidateIndex, partIndex, inlineData: part.inlineData }],\n ),\n )\n const images = yield* Effect.forEach(encoded, (item) =>\n Effect.fromResult(Encoding.decodeBase64(item.inlineData.data)).pipe(\n Effect.mapError(() =>\n invalidOutput(\n `Google Images candidate ${item.candidateIndex} part ${item.partIndex} contains invalid base64 data`,\n ),\n ),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType: item.inlineData.mimeType,\n data,\n providerMetadata: {\n google: {\n candidateIndex: item.candidate.index ?? item.candidateIndex,\n partIndex: item.partIndex,\n finishReason: item.candidate.finishReason,\n safetyRatings: item.candidate.safetyRatings,\n citationMetadata: item.candidate.citationMetadata,\n groundingMetadata: item.candidate.groundingMetadata,\n thoughtSignature: item.candidate.content?.parts[item.partIndex]?.thoughtSignature,\n },\n },\n }),\n ),\n ),\n )\n if (images.length === 0) {\n const finishReasons = candidates.flatMap((candidate) =>\n candidate.finishReason === undefined ? [] : [candidate.finishReason],\n )\n return yield* invalidOutput(\n `Google Images returned no final images${\n finishReasons.length === 0 ? \"\" : ` (finish reasons: ${finishReasons.join(\", \")})`\n }; inspect reason.providerMetadata.google for prompt feedback and candidate details`,\n {\n google: {\n promptFeedback: decoded.promptFeedback,\n candidates: candidateMetadata,\n },\n },\n )\n }\n const usage = decoded.usageMetadata\n const outputTokens =\n usage?.candidatesTokenCount === undefined\n ? undefined\n : usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0)\n return new ImageResponse({\n images,\n usage:\n usage === undefined\n ? undefined\n : new Usage({\n inputTokens: usage.promptTokenCount,\n outputTokens,\n nonCachedInputTokens: ProviderShared.subtractTokens(\n usage.promptTokenCount,\n usage.cachedContentTokenCount,\n ),\n cacheReadInputTokens: usage.cachedContentTokenCount,\n reasoningTokens: usage.thoughtsTokenCount,\n totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n providerMetadata: { google: usage },\n }),\n providerMetadata: {\n google: {\n modelVersion: decoded.modelVersion,\n responseId: decoded.responseId,\n promptFeedback: decoded.promptFeedback,\n candidates: candidateMetadata,\n },\n },\n })\n }),\n }\n return ImageModel.make<GoogleImageOptions>({ id: input.id, provider: \"google\", route, http: input.http })\n}\n\nconst googleImagePart = (image: ImageInput): Effect.Effect<Record<string, unknown>, AIError> => {\n if (image.type === \"bytes\")\n return Effect.succeed({ inlineData: { mimeType: image.mediaType, data: Encoding.encodeBase64(image.data) } })\n if (image.type === \"file-uri\") return Effect.succeed({ fileData: { mimeType: image.mediaType, fileUri: image.uri } })\n if (image.type === \"url\")\n return ImageInputs.decodeDataUrl(image.url, ADAPTER).pipe(\n Effect.flatMap((decoded) => {\n if (decoded === undefined)\n return Effect.fail(\n ImageInputs.invalid(\n ADAPTER,\n \"Google generateContent does not fetch public image URLs; use bytes, a data URL, or a Gemini file URI\",\n ),\n )\n return Effect.succeed({\n inlineData: { mimeType: decoded.mediaType, data: Encoding.encodeBase64(decoded.data) },\n })\n }),\n )\n return Effect.fail(\n ImageInputs.invalid(ADAPTER, \"Google generateContent requires Gemini file URIs rather than provider file IDs\"),\n )\n}\n\nexport const GoogleImages = {\n model,\n} as const\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport { Gemini } from \"../protocols/gemini.js\"\nimport { GoogleImages } from \"../protocols/google-images.js\"\n\nexport type { GoogleImageOptions } from \"../protocols/google-images.js\"\nexport type GeminiOptionsInput = Gemini.OptionsInput\nexport type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput\n\nexport const id = ProviderID.make(\"google\")\n\nexport const routes = [Gemini.route]\n\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: Gemini.ProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: Gemini.ProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => {\n if (\"auth\" in options && options.auth) return options.auth\n return Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\")\n .orElse(Auth.config(\"GOOGLE_GENERATIVE_AI_API_KEY\"))\n .pipe(Auth.header(\"x-goog-api-key\"))\n}\n\nconst configuredRoute = (input: Config) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return Gemini.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n const image = (modelID: string | ModelID) =>\n GoogleImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL,\n headers: input.headers,\n http: mergeHttpOptions(input.http === undefined ? undefined : HttpOptions.make(input.http)),\n })\n return {\n id,\n model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),\n image,\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n\nexport const image = provider.image\n" | ||
| ], | ||
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| ||
| "debugId": "EE0A09CBA6F7655B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openrouter.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { ProviderID, type CacheHint, type ModelID } from \"../schema/index.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache.js\"\nimport { isRecord, ProviderShared } from \"../protocols/shared.js\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\ntype OpenRouterString<Known extends string> = Known | (string & {})\n\nexport interface OpenRouterProviderRouting {\n readonly [key: string]: unknown\n readonly order?: ReadonlyArray<string>\n readonly allow_fallbacks?: boolean\n readonly require_parameters?: boolean\n readonly data_collection?: OpenRouterString<\"allow\" | \"deny\">\n readonly only?: ReadonlyArray<string>\n readonly ignore?: ReadonlyArray<string>\n readonly quantizations?: ReadonlyArray<string>\n readonly sort?: OpenRouterString<\"price\" | \"throughput\" | \"latency\">\n readonly max_price?: Readonly<{\n prompt?: number | string\n completion?: number | string\n image?: number | string\n audio?: number | string\n request?: number | string\n }>\n readonly zdr?: boolean\n}\n\nexport type OpenRouterPlugin =\n | Readonly<{\n id: \"web\"\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n | Readonly<{ id: \"file-parser\"; max_files?: number; pdf?: { engine?: string } }>\n | Readonly<{ id: \"moderation\" }>\n | Readonly<{ id: \"response-healing\" }>\n | Readonly<{ id: \"auto-router\"; allowed_models?: ReadonlyArray<string> }>\n | Readonly<{ id: string & {}; [key: string]: unknown }>\n\nexport interface OpenRouterOptions {\n readonly [key: string]: unknown\n readonly debug?: Readonly<{ echo_upstream_body?: boolean }>\n readonly models?: ReadonlyArray<string>\n readonly plugins?: ReadonlyArray<OpenRouterPlugin>\n readonly provider?: OpenRouterProviderRouting\n readonly reasoning?: Readonly<{\n enabled?: boolean\n exclude?: boolean\n effort?: OpenRouterString<\"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\">\n max_tokens?: number\n }>\n readonly usage?: boolean | Readonly<{ include: boolean }>\n readonly user?: string\n readonly web_search_options?: Readonly<{\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n}\n\nexport type OpenRouterProviderOptionsInput = OpenRouterOptions\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n}\n\nconst OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [\n Schema.Record(Schema.String, Schema.Any),\n])\nexport type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>\n\nexport const protocol = Protocol.make({\n id: \"openrouter-chat\",\n body: {\n schema: OpenRouterBody,\n from: (request) =>\n OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(\n Effect.map((body) => {\n const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n let assistantIndex = 0\n const messages = body.messages.map((message) => {\n if (message.role !== \"assistant\") return message\n const source = sourceAssistants[assistantIndex++]\n const reasoning = source?.content\n .filter((part) => part.type === \"reasoning\")\n .map((part) => part.text)\n .join(\"\")\n const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n return {\n ...message,\n reasoning_content: undefined,\n reasoning_text: undefined,\n reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n reasoning_details: reasoningDetails,\n }\n })\n const cacheKey = ProviderShared.clampPromptCacheKey(request.promptCacheKey)\n return {\n ...body,\n messages,\n ...bodyOptions(request.providerOptions),\n ...(cacheKey ? { prompt_cache_key: cacheKey } : {}),\n } as OpenRouterBody\n }),\n ),\n },\n stream: OpenAIChat.protocol.stream,\n})\n\nconst cacheControl = () => {\n const breakpoints = newBreakpoints(4)\n return (cache: CacheHint | undefined) => {\n if (cache === undefined || breakpoints.remaining === 0) return undefined\n breakpoints.remaining -= 1\n return {\n type: \"ephemeral\" as const,\n ...(ttlBucket(cache.ttlSeconds) === \"1h\" ? { ttl: \"1h\" } : {}),\n }\n }\n}\n\nconst bodyOptions = (input: unknown) => {\n const openrouter = isRecord(input) ? input : {}\n const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =\n openrouter\n return {\n ...options,\n ...(usage === undefined || usage === true\n ? { usage: { include: true } }\n : usage === false\n ? { usage: { include: false } }\n : isRecord(usage)\n ? { usage }\n : {}),\n ...(Array.isArray(models) ? { models } : {}),\n ...(isRecord(provider) ? { provider } : {}),\n ...(Array.isArray(plugins) ? { plugins } : {}),\n ...(isRecord(web_search_options) ? { web_search_options } : {}),\n ...(isRecord(debug) ? { debug } : {}),\n ...(typeof user === \"string\" ? { user } : {}),\n ...(isRecord(reasoning) ? { reasoning } : {}),\n }\n}\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: profile.provider,\n protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return route.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? profile.baseURL },\n auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n" | ||
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| "debugId": "C53AB9CC2DD3C58564756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
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| { | ||
| "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" | ||
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| "debugId": "DD64EA2EF30766F464756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/ui/timeline.tsx", "src/commands/handlers/console/login.ts"], | ||
| "sourcesContent": [ | ||
| "import { createComponent as _$createComponent } from \"@opentui/solid\";\nimport { effect as _$effect } from \"@opentui/solid\";\nimport { createTextNode as _$createTextNode } from \"@opentui/solid\";\nimport { insertNode as _$insertNode } from \"@opentui/solid\";\nimport { insert as _$insert } from \"@opentui/solid\";\nimport { setProp as _$setProp } from \"@opentui/solid\";\nimport { createElement as _$createElement } from \"@opentui/solid\";\n/** @jsxImportSource @opentui/solid */\nimport { createCliRenderer, RGBA } from \"@opentui/core\";\nimport { createScrollbackWriter, render, useKeyboard } from \"@opentui/solid\";\nimport { registerOpencodeSpinner } from \"@opencode-ai/tui/component/register-spinner\";\nimport { Show, createSignal } from \"solid-js\";\nregisterOpencodeSpinner();\nconst SPINNER_FRAMES = [\"⠋\", \"⠙\", \"⠹\", \"⠸\", \"⠼\", \"⠴\", \"⠦\", \"⠧\", \"⠇\", \"⠏\"];\nconst IDLE_TIMEOUT = 1_000;\nconst COLORS = {\n accent: RGBA.fromIndex(6),\n error: RGBA.fromIndex(1),\n foreground: RGBA.defaultForeground(),\n muted: RGBA.fromIndex(8),\n success: RGBA.fromIndex(2)\n};\nconst ROWS = {\n intro: {\n marker: \"┌\",\n color: COLORS.muted,\n connector: true\n },\n item: {\n marker: \"●\",\n color: COLORS.accent,\n connector: true\n },\n success: {\n marker: \"◇\",\n color: COLORS.success,\n connector: true\n },\n failure: {\n marker: \"■\",\n color: COLORS.error,\n connector: false\n },\n outro: {\n marker: \"└\",\n color: COLORS.muted,\n connector: false\n }\n};\nfunction row(kind, value) {\n const style = ROWS[kind];\n return createScrollbackWriter(() => (() => {\n var _el$ = _$createElement(\"box\"),\n _el$2 = _$createElement(\"box\"),\n _el$3 = _$createElement(\"text\"),\n _el$4 = _$createElement(\"text\");\n _$insertNode(_el$, _el$2);\n _$setProp(_el$, \"width\", \"100%\");\n _$setProp(_el$, \"minHeight\", 1);\n _$setProp(_el$, \"flexDirection\", \"column\");\n _$insertNode(_el$2, _el$3);\n _$insertNode(_el$2, _el$4);\n _$setProp(_el$2, \"width\", \"100%\");\n _$setProp(_el$2, \"minHeight\", 1);\n _$setProp(_el$2, \"flexDirection\", \"row\");\n _$setProp(_el$2, \"gap\", 1);\n _$setProp(_el$3, \"flexShrink\", 0);\n _$insert(_el$3, () => style.marker);\n _$setProp(_el$4, \"wrapMode\", \"word\");\n _$insert(_el$4, value);\n _$insert(_el$, _$createComponent(Show, {\n get when() {\n return style.connector;\n },\n get children() {\n var _el$5 = _$createElement(\"text\");\n _$insertNode(_el$5, _$createTextNode(`│`));\n _$effect(_$p => _$setProp(_el$5, \"fg\", COLORS.muted, _$p));\n return _el$5;\n }\n }), null);\n _$effect(_p$ => {\n var _v$ = style.color,\n _v$2 = COLORS.foreground;\n _v$ !== _p$.e && (_p$.e = _$setProp(_el$3, \"fg\", _v$, _p$.e));\n _v$2 !== _p$.t && (_p$.t = _$setProp(_el$4, \"fg\", _v$2, _p$.t));\n return _p$;\n }, {\n e: undefined,\n t: undefined\n });\n return _el$;\n })(), {\n startOnNewLine: true,\n trailingNewline: !style.connector\n });\n}\nfunction TimelineFooter(props) {\n useKeyboard(event => {\n if (event.name !== \"escape\" && !(event.ctrl && event.name === \"c\")) return;\n event.preventDefault();\n props.cancel();\n });\n return (() => {\n var _el$7 = _$createElement(\"box\");\n _$setProp(_el$7, \"width\", \"100%\");\n _$setProp(_el$7, \"height\", 1);\n _$setProp(_el$7, \"flexDirection\", \"row\");\n _$setProp(_el$7, \"gap\", 1);\n _$insert(_el$7, _$createComponent(Show, {\n get when() {\n return props.pending();\n },\n children: text => [(() => {\n var _el$8 = _$createElement(\"spinner\");\n _$setProp(_el$8, \"frames\", SPINNER_FRAMES);\n _$setProp(_el$8, \"interval\", 80);\n _$effect(_$p => _$setProp(_el$8, \"color\", COLORS.accent, _$p));\n return _el$8;\n })(), (() => {\n var _el$9 = _$createElement(\"text\");\n _$setProp(_el$9, \"wrapMode\", \"none\");\n _$setProp(_el$9, \"truncate\", true);\n _$insert(_el$9, text);\n _$effect(_$p => _$setProp(_el$9, \"fg\", COLORS.foreground, _$p));\n return _el$9;\n })()]\n }));\n return _el$7;\n })();\n}\nfunction bounded(task) {\n return new Promise(resolve => {\n const timer = setTimeout(resolve, IDLE_TIMEOUT);\n timer.unref();\n const finish = () => {\n clearTimeout(timer);\n resolve();\n };\n void task.then(finish, finish);\n });\n}\nasync function shutdown(renderer) {\n await bounded(renderer.idle());\n try {\n renderer.externalOutputMode = \"passthrough\";\n } finally {\n try {\n renderer.screenMode = \"main-screen\";\n } finally {\n if (!renderer.isDestroyed) renderer.destroy();\n }\n }\n}\nexport async function createTimelineHost() {\n const stdout = process.stdout;\n const controller = new AbortController();\n const signals = [\"SIGINT\", \"SIGHUP\", \"SIGQUIT\"];\n const cancel = () => {\n if (!controller.signal.aborted) controller.abort();\n };\n signals.forEach(signal => process.on(signal, cancel));\n if (!stdout.isTTY || !process.stdin.isTTY) {\n let closed = false;\n let writing = false;\n let active;\n let closeTask;\n const write = async (kind, text) => {\n if (closed) throw new Error(\"timeline closed\");\n if (writing) throw new Error(\"timeline write already in progress\");\n writing = true;\n try {\n const style = kind === \"pending\" ? undefined : ROWS[kind];\n const marker = kind === \"pending\" ? \".\" : ROWS[kind].marker;\n const connector = style?.connector ? \"│\\n\" : \"\";\n active = new Promise((resolve, reject) => {\n stdout.write(`${marker} ${text}\\n${connector}`, error => error ? reject(error) : resolve());\n });\n await active;\n } finally {\n writing = false;\n active = undefined;\n }\n };\n const close = () => {\n if (closeTask) return closeTask;\n closed = true;\n closeTask = (async () => {\n await active?.catch(() => {});\n signals.forEach(signal => process.off(signal, cancel));\n })();\n return closeTask;\n };\n return {\n signal: controller.signal,\n intro: text => write(\"intro\", text),\n item: text => write(\"item\", text),\n pending: text => write(\"pending\", text),\n success: text => write(\"success\", text),\n failure: text => write(\"failure\", text),\n outro: text => write(\"outro\", text),\n close\n };\n }\n let renderer;\n try {\n // Start on a fresh row so delayed SSH cursor reports cannot make\n // split-footer overwrite the shell command.\n process.stdout.write(\"\\n\");\n renderer = await createCliRenderer({\n stdin: process.stdin,\n useMouse: false,\n autoFocus: false,\n openConsoleOnError: false,\n exitOnCtrlC: false,\n exitSignals: [],\n screenMode: \"split-footer\",\n footerHeight: 1,\n externalOutputMode: \"capture-stdout\",\n consoleMode: \"disabled\",\n clearOnShutdown: false\n });\n const activeRenderer = renderer;\n const [pending, setPending] = createSignal();\n const renderTask = render(() => _$createComponent(TimelineFooter, {\n pending: pending,\n cancel: cancel\n }), activeRenderer);\n void renderTask.catch(cancel);\n await bounded(activeRenderer.idle());\n let closed = false;\n let writing = false;\n let active;\n let closeTask;\n const write = (kind, text) => {\n if (closed) return Promise.reject(new Error(\"timeline closed\"));\n if (writing) return Promise.reject(new Error(\"timeline write already in progress\"));\n writing = true;\n active = (async () => {\n if (kind === \"pending\") {\n setPending(text);\n activeRenderer.requestRender();\n } else {\n if (kind === \"success\" || kind === \"failure\" || kind === \"outro\") setPending(undefined);\n activeRenderer.writeToScrollback(row(kind, text));\n activeRenderer.requestRender();\n }\n await bounded(activeRenderer.idle());\n })().finally(() => {\n writing = false;\n active = undefined;\n });\n return active;\n };\n const close = () => {\n if (closeTask) return closeTask;\n closed = true;\n closeTask = (async () => {\n await active?.catch(() => {});\n try {\n await shutdown(activeRenderer);\n await bounded(renderTask);\n } finally {\n signals.forEach(signal => process.off(signal, cancel));\n }\n })();\n return closeTask;\n };\n return {\n signal: controller.signal,\n intro: text => write(\"intro\", text),\n item: text => write(\"item\", text),\n pending: text => write(\"pending\", text),\n success: text => write(\"success\", text),\n failure: text => write(\"failure\", text),\n outro: text => write(\"outro\", text),\n close\n };\n } catch (error) {\n try {\n if (renderer) await shutdown(renderer);\n } finally {\n signals.forEach(signal => process.off(signal, cancel));\n }\n throw error;\n }\n}", | ||
| "import { Cause, Effect, Exit, Option } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\nimport { errorMessage } from \"../../../util/error\"\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(() =>\n timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(Cause.squash(exit.cause))),\n ).pipe(Effect.ignore)\n process.exitCode = cancelled ? 130 : 1\n }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n yield* request(() => timeline.intro(\"Log in\"))\n yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n const method = yield* required(\n integration.methods.find((candidate) => candidate.type === \"oauth\"),\n \"OpenCode Console login is unavailable\",\n )\n\n yield* request(() => timeline.pending(\"Starting authorization...\"))\n const started = yield* request((signal) =>\n client.integration.oauth.connect(\n {\n integrationID,\n methodID: method.id,\n ...(server ? { answer: { server } } : {}),\n location,\n },\n { signal },\n ),\n )\n const attempt = started.data\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.oauth.cancel(\n { integrationID, attemptID: attempt.attemptID, location },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n yield* request(() => timeline.item(attempt.instructions))\n yield* request(async () => {\n const { default: open } = await import(\"open\")\n await open(attempt.url)\n }).pipe(Effect.ignore)\n yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n yield* Effect.sleep(500)\n }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({\n try: task,\n catch: (cause) => cause,\n })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n" | ||
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| ||
| "debugId": "59DE3FB79548A1FB64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/xai-responses.ts", "../ai/src/protocols/xai-images.ts", "../ai/src/providers/xai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Protocol } from \"../route/protocol.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { ResponsesHostedTools } from \"./utils/responses-hosted-tools.js\"\n\nconst ADAPTER = \"xai-responses\"\nconst NAME = \"xAI Responses\"\n\nconst extension = {\n id: ADAPTER,\n name: NAME,\n} satisfies OpenResponses.Extension\n\nconst HOSTED_TOOLS = {\n web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n x_search_call: { name: \"x_search\", input: (item) => item.action ?? {} },\n file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n code_interpreter_call: {\n name: \"code_interpreter\",\n input: (item) => ({ code: item.code, container_id: item.container_id }),\n },\n image_generation_call: { name: \"image_generation\", input: () => ({}) },\n mcp_call: {\n name: \"mcp\",\n input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n },\n} as const satisfies ResponsesHostedTools.Definitions\n\n// Grok speaks the standard Responses reasoning dialect (`reasoning_summary_text.*`,\n// handled by the baseline); only its hosted tool vocabulary differs.\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n if (event.type === \"response.output_item.done\" && event.item && ResponsesHostedTools.isItem(event.item, HOSTED_TOOLS))\n return ResponsesHostedTools.onDone(state, event.item, HOSTED_TOOLS)\n return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: OpenResponses.protocol.body,\n stream: {\n event: OpenResponses.protocol.stream.event,\n initial: (request) => OpenResponses.initial(request, extension),\n step,\n terminal: OpenResponses.terminal,\n },\n})\n\nexport * as XAIResponses from \"./xai-responses.js\"\n", | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared, optionalNull } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\n\nconst ADAPTER = \"xai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.x.ai/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type XAIImageString<Known extends string> = Known | (string & {})\n\nexport type XAIImageOptions = {\n readonly n?: number\n readonly aspectRatio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly aspect_ratio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly resolution?: XAIImageString<\"1k\" | \"2k\">\n readonly responseFormat?: XAIImageString<\"url\" | \"b64_json\">\n readonly response_format?: XAIImageString<\"url\" | \"b64_json\">\n} & Record<string, unknown>\n\ntype XAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst XAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: optionalNull(Schema.String),\n url: optionalNull(Schema.String),\n revised_prompt: optionalNull(Schema.String),\n mime_type: optionalNull(Schema.String),\n }),\n ),\n usage: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: XAIImageOptions | undefined) => {\n if (!options) return undefined\n const { aspectRatio, responseFormat, ...native } = options\n return {\n aspect_ratio: aspectRatio,\n response_format: responseFormat,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<XAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"XAIImages.generate\")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {\n const http = mergeHttpOptions(request.model.http, request.http)\n const imageReferences = (request.images ?? []).map((image) => {\n if (image.type === \"bytes\") return { url: ImageInputs.dataUrl(image), type: \"image_url\" as const }\n if (image.type === \"url\") return { url: image.url, type: \"image_url\" as const }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (imageReferences.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"xAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n image: imageReferences.length === 1 ? imageReferences[0] : undefined,\n images: imageReferences.length > 1 ? imageReferences : undefined,\n },\n nativeOptions(request.options),\n http?.body,\n ) as XAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const url = applyQuery(\n `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${imageReferences.length === 0 ? PATH : EDIT_PATH}`,\n http?.query,\n )\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the xAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"xAI Images returned an invalid response\")),\n )\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n const mediaType = item.mime_type ?? \"application/octet-stream\"\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType,\n data,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"xAI Images returned no images\")\n const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined\n return new ImageResponse({\n images,\n usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),\n providerMetadata: usage === undefined ? undefined : { xai: { usage } },\n })\n }),\n }\n return ImageModel.make<XAIImageOptions>({ id: input.id, provider: \"xai\", route, http: input.http })\n}\n\nexport const XAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpOptions, ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { OpenResponsesChannel } from \"../protocols/open-responses-channel.js\"\nimport { XAIResponses } from \"../protocols/xai-responses.js\"\nimport { XAIImages } from \"../protocols/xai-images.js\"\nimport type { OpenAIOptionsInput } from \"./openai-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = OpenAIOptionsInput\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n}\n\nexport type { XAIImageOptions } from \"../protocols/xai-images.js\"\n\nconst RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 24 * 60 * 1000\n\nconst responsesRoute = Route.make({\n id: \"openai-responses\",\n provider: id,\n providerMetadataKey: \"xai\",\n protocol: XAIResponses.protocol,\n endpoint: Endpoint.path(\"/responses\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenResponsesChannel.transport({\n id: \"openai-responses\",\n name: \"xAI Responses\",\n rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,\n }),\n defaults: { providerOptions: { store: false, include: [\"reasoning.encrypted_content\"] } },\n})\n\nconst chatRoute = Route.make({\n id: \"openai-compatible-chat\",\n provider: id,\n providerMetadataKey: \"xai\",\n protocol: OpenAIChat.protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenAICompatibleChat.route.transport,\n headers: ({ request }): Record<string, string> =>\n request.promptCacheKey ? { \"x-grok-conv-id\": request.promptCacheKey } : {},\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return responsesRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nconst configuredChatRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return chatRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const responsesRoute = configuredResponsesRoute(input)\n const chatRoute = configuredChatRoute(input)\n const responses = (modelID: string | ModelID) => responsesRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const chat = (modelID: string | ModelID) => chatRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const image = (modelID: string | ModelID) =>\n XAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,\n headers: input.headers,\n http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n })\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
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| ||
| "debugId": "4E1DA2370ECC66CA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/stop.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.stop,\n Effect.fn(\"cli.service.stop\")(function* () {\n yield* Service.stop(yield* ServiceConfig.options())\n }),\n)\n" | ||
| ], | ||
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| "debugId": "A158E117F3C1BFA964756E2164756E21", | ||
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| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/services/server-connection.ts"], | ||
| "sourcesContent": [ | ||
| "import { Service, type Endpoint, type EnsureOptions } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, isUnauthorizedError, OpenCode } from \"@opencode-ai/client/promise\"\nimport { OPENCODE_VERSION } from \"../version\"\nimport { Effect, Redacted } from \"effect\"\nimport { Env } from \"../env\"\nimport { ServiceConfig } from \"./service-config\"\nimport { Standalone } from \"./standalone\"\n\nexport type Args = {\n readonly server?: string\n readonly standalone?: boolean\n readonly mismatch?: \"replace\" | \"ignore\" | \"error\"\n readonly onStart?: EnsureOptions[\"onStart\"]\n}\n\nexport type Resolved = {\n readonly endpoint: Endpoint\n readonly service?: ReturnType<typeof managedService>\n}\n\nexport const resolve = Effect.fn(\"cli.server-connection.resolve\")(function* (args: Args) {\n if (args.server !== undefined && args.standalone)\n return yield* Effect.fail(new Error(\"--server and --standalone cannot be combined\"))\n if (args.server !== undefined) {\n const password = yield* Env.password\n const endpoint = {\n url: args.server,\n auth: password ? { type: \"basic\" as const, username: \"opencode\", password: Redacted.value(password) } : undefined,\n } satisfies Endpoint\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const health = yield* Effect.tryPromise({\n try: () => client.health.get({ signal: AbortSignal.timeout(5_000) }),\n catch: (cause) => connectError(endpoint, cause),\n })\n if (health.version !== OPENCODE_VERSION)\n process.stderr.write(\n `Warning: Server at ${endpoint.url} has version ${health.version}; this client is ${OPENCODE_VERSION}. Continuing anyway.\\n`,\n )\n return { endpoint } satisfies Resolved\n }\n if (args.standalone) {\n return { endpoint: yield* Standalone.start() } satisfies Resolved\n }\n\n const mismatch = args.mismatch ?? \"ignore\"\n const options = yield* ServiceConfig.options({ checkVersion: mismatch !== \"ignore\" })\n return {\n endpoint: yield* resolveManaged({ ...options, onStart: args.onStart }, mismatch),\n service: managedService(options),\n } satisfies Resolved\n})\n\nfunction managedService(options: EnsureOptions) {\n const reconnectOptions = { ...options, version: undefined }\n return {\n reconnect: () => Service.ensure(reconnectOptions),\n restart: () =>\n Effect.gen(function* () {\n yield* Service.stop(options)\n yield* Service.ensure(reconnectOptions)\n }),\n }\n}\n\nconst resolveManaged = Effect.fnUntraced(function* (options: EnsureOptions, mismatch: NonNullable<Args[\"mismatch\"]>) {\n if (mismatch === \"replace\") return yield* Service.ensure(options)\n if (mismatch === \"ignore\") return yield* Service.ensure({ ...options, version: undefined })\n\n const compatible = yield* Service.discover(options)\n if (compatible !== undefined) return compatible\n const existing = yield* Service.discover({ ...options, version: undefined })\n if (existing !== undefined)\n return yield* Effect.fail(new Error(\"Background server version does not match this client\"))\n return yield* Service.ensure(options)\n})\n\nfunction connectError(endpoint: Endpoint, cause: unknown) {\n if (isUnauthorizedError(cause)) {\n return new Error(\n endpoint.auth === undefined\n ? `Server at ${endpoint.url} requires a password; set OPENCODE_PASSWORD`\n : `Server at ${endpoint.url} rejected the password`,\n { cause },\n )\n }\n if (cause instanceof ClientError && cause.reason === \"Transport\")\n return new Error(`Could not reach server at ${endpoint.url}`, { cause })\n return new Error(`Server at ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n" | ||
| ], | ||
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| "debugId": "2E97EAC2B7A4414164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/route/auth-options.ts"], | ||
| "sourcesContent": [ | ||
| "import type { Config, Redacted } from \"effect\"\nimport { Auth } from \"./auth.js\"\n\nexport type ApiKeyMode = \"optional\" | \"required\"\n\nexport type AuthOverride = {\n readonly auth: Auth.Definition\n readonly apiKey?: never\n}\n\nexport type OptionalApiKeyAuth = {\n readonly apiKey?: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n readonly auth?: never\n}\n\nexport type RequiredApiKeyAuth = {\n readonly apiKey: string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>\n readonly auth?: never\n}\n\nexport type ProviderAuthOption<Mode extends ApiKeyMode> =\n | AuthOverride\n | (Mode extends \"optional\" ? OptionalApiKeyAuth : RequiredApiKeyAuth)\n\nexport type LanguageModelOptions<Base, Mode extends ApiKeyMode> = Omit<Base, \"apiKey\" | \"auth\"> &\n ProviderAuthOption<Mode>\n\nexport type LanguageModelArgs<Base, Mode extends ApiKeyMode> = Mode extends \"optional\"\n ? readonly [options?: LanguageModelOptions<Base, Mode>]\n : readonly [options: LanguageModelOptions<Base, Mode>]\n\nexport type LanguageModelFactory<Base, Mode extends ApiKeyMode, LanguageModel> = (\n id: string,\n ...args: LanguageModelArgs<Base, Mode>\n) => LanguageModel\n\n/**\n * Require at least one of the keys in `T`. Use for option shapes where any\n * subset of fields is acceptable but at least one must be present (e.g. Azure\n * accepts `resourceName` or `baseURL`).\n */\nexport type AtLeastOne<T> = {\n [K in keyof T]: Required<Pick<T, K>> & Partial<Omit<T, K>>\n}[keyof T]\n\n/**\n * Standard bearer-auth resolution for providers: honor an explicit `auth`\n * override, otherwise resolve `apiKey` (option > config var) and apply it as\n * a bearer token.\n */\nexport const bearer = (\n options: ProviderAuthOption<\"optional\">,\n envVar: string | ReadonlyArray<string>,\n): Auth.Definition => {\n if (\"auth\" in options && options.auth) return options.auth\n return (Array.isArray(envVar) ? envVar : [envVar])\n .reduce(\n (auth, name) => auth.orElse(Auth.config(name)),\n Auth.optional(\"apiKey\" in options ? options.apiKey : undefined, \"apiKey\"),\n )\n .bearer()\n}\n\nexport * as AuthOptions from \"./auth-options.js\"\n" | ||
| ], | ||
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| "debugId": "118A6DD0D5A9A40464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/models.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n Commands.commands.models,\n Effect.fn(\"cli.models\")(function* (input) {\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const response = yield* Effect.promise(() => client.model.list({ location: { directory: process.cwd() } }))\n const models = response.data\n .map((model) => `${model.providerID}/${model.id}`)\n .toSorted((a, b) => a.localeCompare(b))\n if (models.length > 0) process.stdout.write(models.join(EOL) + EOL)\n }),\n)\n" | ||
| ], | ||
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| "debugId": "19DE715EE0EFF21464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/open-responses-continuation.ts", "../ai/src/protocols/open-responses-channel.ts", "../ai/src/protocols/utils/responses-hosted-tools.ts"], | ||
| "sourcesContent": [ | ||
| "import { AIError, TransportReason } from \"../schema/index.js\"\nimport type { ChannelCheckpoint, ChannelObservation, WebSocketChannelDriver } from \"../route/transport/index.js\"\nimport { Effect, Option, Schema } from \"effect\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst PROTOCOL = \"open-responses.websocket.v1\"\nconst VERSION = 1\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\ninterface CheckpointValue {\n readonly version: typeof VERSION\n readonly responseID: string\n readonly request: Readonly<Record<string, unknown>>\n readonly output: ReadonlyArray<unknown>\n}\n\nexport interface DriverInput {\n readonly id: string\n readonly name: string\n readonly request: Readonly<Record<string, unknown>>\n readonly message: string\n readonly base: WebSocketChannelDriver\n}\n\nconst checkpointValue = (checkpoint: ChannelCheckpoint | undefined): CheckpointValue | undefined => {\n if (checkpoint?.protocol !== PROTOCOL || !ProviderShared.isRecord(checkpoint.value)) return undefined\n if (checkpoint.value.version !== VERSION) return undefined\n if (typeof checkpoint.value.responseID !== \"string\" || checkpoint.value.responseID.trim().length === 0)\n return undefined\n if (!ProviderShared.isRecord(checkpoint.value.request) || !Array.isArray(checkpoint.value.output)) return undefined\n return {\n version: VERSION,\n responseID: checkpoint.value.responseID,\n request: checkpoint.value.request,\n output: checkpoint.value.output,\n }\n}\n\nconst canonical = (value: unknown): string => {\n if (value === undefined) return \"undefined\"\n if (Array.isArray(value)) return `[${value.map(canonical).join(\",\")}]`\n if (!ProviderShared.isRecord(value)) return ProviderShared.encodeJson(value)\n return `{${Object.keys(value)\n .sort()\n .map((key) => `${ProviderShared.encodeJson(key)}:${canonical(value[key])}`)\n .join(\",\")}}`\n}\n\nconst json = (value: unknown) => {\n if (typeof value !== \"string\") return value\n return Option.getOrElse(Schema.decodeUnknownOption(ProviderShared.Json)(value), () => value)\n}\n\nconst comparable = (value: unknown) => {\n if (!ProviderShared.isRecord(value)) return value\n if (value.type === \"message\" && value.role === \"assistant\")\n return {\n role: \"assistant\",\n content: value.content,\n ...(value.phase === undefined ? {} : { phase: value.phase }),\n }\n if (value.type === \"function_call\")\n return {\n type: value.type,\n call_id: value.call_id,\n name: value.name,\n arguments: json(value.arguments),\n }\n if (value.type === \"reasoning\")\n return {\n type: value.type,\n summary: value.summary,\n encrypted_content: value.encrypted_content,\n }\n return value\n}\n\nconst invariant = (request: Readonly<Record<string, unknown>>) => {\n const { type: _type, input: _input, previous_response_id: _previousResponseID, ...rest } = request\n return rest\n}\n\nconst incremental = (\n request: Readonly<Record<string, unknown>>,\n checkpoint: CheckpointValue,\n): ReadonlyArray<unknown> | undefined => {\n const input = request.input\n const previousInput = checkpoint.request.input\n if (!Array.isArray(input) || !Array.isArray(previousInput)) return undefined\n if (canonical(invariant(request)) !== canonical(invariant(checkpoint.request))) return undefined\n const baseline = [...previousInput, ...checkpoint.output]\n if (input.length <= baseline.length) return undefined\n if (!baseline.every((item, index) => canonical(comparable(item)) === canonical(comparable(input[index]))))\n return undefined\n return input.slice(baseline.length)\n}\n\nconst code = (event: OpenResponses.Event) => event.code || event.error?.code || event.response?.error?.code || undefined\n\nconst rejected = (\n input: DriverInput,\n observation: Extract<ChannelObservation, { readonly type: \"provider-failure\" }>,\n recovery: \"retry-full\" | \"rotate-and-retry-full\",\n): ChannelObservation => ({\n type: \"rejected\",\n recovery,\n error: new AIError({\n module: input.id,\n method: \"stream\",\n reason: new TransportReason({\n message: observation.error.message,\n transport: \"websocket\",\n operation: \"read\",\n phase: \"receive\",\n delivery: \"rejected\",\n recovery,\n }),\n }),\n})\n\nexport const driver = (input: DriverInput): WebSocketChannelDriver => {\n const { previous_response_id: _previousResponseID, ...request } = input.request\n let output: unknown[] = []\n return {\n create: (checkpoint) =>\n Effect.sync(() => {\n output = []\n const previous = checkpointValue(checkpoint)\n const delta = previous ? incremental(request, previous) : undefined\n if (!previous || !delta) return { message: ProviderShared.encodeJson(request), mode: \"full\" as const }\n return {\n message: ProviderShared.encodeJson({ ...request, input: delta, previous_response_id: previous.responseID }),\n mode: \"incremental\" as const,\n }\n }),\n observe: (create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() => ProviderShared.eventError(input.id, `Invalid ${input.name} WebSocket event`, frame)),\n )\n const observation = yield* input.base.observe(create, frame)\n if (event.type === \"response.output_item.done\" && event.item) output.push(event.item)\n if (observation.type === \"provider-failure\") {\n const rejection = code(event)\n if (rejection === \"previous_response_not_found\") return rejected(input, observation, \"retry-full\")\n if (rejection === \"websocket_connection_limit_reached\")\n return rejected(input, observation, \"rotate-and-retry-full\")\n }\n if (observation.type !== \"completed\") return observation\n const responseID = event.response?.id\n if (!responseID || responseID.trim().length === 0) return observation\n return {\n ...observation,\n checkpoint: {\n protocol: PROTOCOL,\n value: { version: VERSION, responseID, request, output: output.slice() } satisfies CheckpointValue,\n },\n }\n }),\n }\n}\n\nexport const OpenResponsesContinuation = { driver } as const\n", | ||
| "import { Effect, Schema, Stream } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Framing } from \"../route/framing.js\"\nimport {\n HttpTransport,\n WebSocketTransport,\n type Transport,\n type WebSocketChannelDriver,\n type WebSocketChannelExchange,\n} from \"../route/transport/index.js\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { OpenResponsesContinuation } from \"./open-responses-continuation.js\"\n\nconst WebSocketResponseCreate = Schema.StructWithRest(Schema.Struct({ type: Schema.tag(\"response.create\") }), [\n Schema.Record(Schema.String, Schema.Unknown),\n])\nconst decodeMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(WebSocketResponseCreate))\nconst encodeMessage = Schema.encodeSync(Schema.fromJsonString(WebSocketResponseCreate))\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\nexport interface Options {\n readonly id: string\n readonly name: string\n readonly rotateAfterMs?: number\n readonly enabled?: (url: string) => boolean\n readonly url?: (url: string) => string\n readonly headers?: (headers: Headers.Headers) => Headers.Headers\n}\n\nexport interface Prepared {\n readonly http: HttpTransport.HttpPrepared<string>\n readonly channel?: {\n readonly url: string\n readonly headers: Headers.Headers\n readonly rotateAfterMs?: number\n readonly driver: WebSocketChannelDriver\n }\n}\n\nconst message = (body: unknown) =>\n Effect.gen(function* () {\n if (!ProviderShared.isRecord(body))\n return yield* ProviderShared.invalidRequest(\"Open Responses WebSocket body must be a JSON object\")\n const { stream: _stream, stream_options: _streamOptions, background: _background, ...request } = body\n const decoded = yield* decodeMessage({ ...request, type: \"response.create\" })\n return { request: decoded, message: encodeMessage(decoded) }\n })\n\nconst driver = (options: Options, body: string): WebSocketChannelDriver => {\n let responseID: string | undefined\n let terminal = false\n return {\n create: () =>\n Effect.sync(() => {\n responseID = undefined\n terminal = false\n return { message: body, mode: \"full\" }\n }),\n observe: (_create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `Invalid ${options.name} WebSocket event`, frame),\n ),\n )\n if (terminal)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} after a terminal event`,\n frame,\n )\n if (event.type === \"error\") {\n terminal = true\n yield* OpenResponses.decodeKnownErrorEvent(event).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `${options.name} returned a malformed error event`, frame),\n ),\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} stream error`),\n }\n }\n if (event.type === \"response.failed\") {\n terminal = true\n if (responseID && event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} response failed`),\n }\n }\n if (event.type === \"response.created\") {\n const created = event.response?.id\n if (responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted duplicate response.created`,\n frame,\n )\n if (!created)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response.created is missing response.id`,\n frame,\n )\n responseID = created\n return { type: \"frame\", frame }\n }\n // Keepalives carry no response state and may arrive before response.created.\n if (event.type === \"keepalive\") return { type: \"frame\", frame }\n if (!responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} before response.created`,\n frame,\n )\n if (event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n if (event.type === \"response.completed\") {\n terminal = true\n return { type: \"completed\", frame }\n }\n if (event.type === \"response.incomplete\") {\n terminal = true\n return { type: \"incomplete\", frame }\n }\n return { type: \"frame\", frame }\n }),\n }\n}\n\nexport const transport = <Body>(options: Options): Transport<Body, Prepared, string> => {\n const http = HttpTransport.sseJson.with<Body>()\n return {\n id: http.id,\n prepare: (input) =>\n Effect.gen(function* () {\n const parts = yield* HttpTransport.jsonRequestParts(input)\n const headers = Headers.remove(options.headers?.(parts.headers) ?? parts.headers, \"content-length\")\n const channel =\n input.webSocket && (options.enabled?.(parts.url) ?? true)\n ? yield* Effect.gen(function* () {\n const create = yield* message(parts.jsonBody)\n const base = driver(options, create.message)\n return {\n url: yield* WebSocketTransport.toWebSocketUrl(options.url?.(parts.url) ?? parts.url),\n headers,\n rotateAfterMs: options.rotateAfterMs,\n driver: OpenResponsesContinuation.driver({\n id: options.id,\n name: options.name,\n request: create.request,\n message: create.message,\n base,\n }),\n }\n })\n : undefined\n return {\n http: {\n request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),\n framing: Framing.sse,\n middleware: input.middleware,\n },\n channel,\n }\n }),\n execute: (prepared, request, runtime, executeOptions) => {\n if (!executeOptions?.webSocket || !prepared.channel) return http.execute(prepared.http, request, runtime)\n const exchange: WebSocketChannelExchange = {\n id: request.id ?? \"request\",\n connect: {\n url: prepared.channel.url,\n headers: prepared.channel.headers,\n rotateAfterMs: prepared.channel.rotateAfterMs,\n },\n fallback: () =>\n Stream.unwrap(\n http.execute(prepared.http, request, runtime).pipe(Effect.map((execution) => execution.frames)),\n ),\n driver: prepared.channel.driver,\n }\n return executeOptions.webSocket.execute(exchange)\n },\n }\n}\n\nexport const OpenResponsesChannel = { transport } as const\n", | ||
| "import { Effect } from \"effect\"\nimport { LLMEvent, type AIError, type ToolResultPart } from \"../../schema/index.js\"\nimport { OpenResponses } from \"../open-responses.js\"\nimport { Lifecycle } from \"./lifecycle.js\"\n\nexport type Item = OpenResponses.StreamItem & {\n readonly id: string\n readonly status?: string\n readonly action?: unknown\n readonly queries?: unknown\n readonly results?: unknown\n readonly code?: string\n readonly container_id?: string\n readonly outputs?: unknown\n readonly server_label?: string\n readonly output?: unknown\n readonly result?: string\n readonly output_format?: \"png\" | \"jpeg\" | \"webp\"\n readonly error?: unknown\n}\n\nexport interface Definition {\n readonly name: string\n readonly input: (item: Item) => unknown\n readonly result?: (item: Item) => Effect.Effect<ToolResultPart[\"result\"], AIError>\n}\n\nexport type Definitions = Readonly<Record<string, Definition>>\n\nexport const isItem = <Tools extends Definitions>(item: OpenResponses.StreamItem, tools: Tools): item is Item =>\n item.type in tools && typeof item.id === \"string\" && item.id.length > 0\n\nexport const onDone: (\n state: OpenResponses.ParserState,\n item: Item,\n tools: Definitions,\n) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn(\"ResponsesHostedTools.onDone\")(function* (\n state,\n item,\n tools,\n) {\n const tool = tools[item.type]\n if (!tool) return [state, []] satisfies OpenResponses.StepResult\n const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n events.push(\n LLMEvent.toolCall({\n id: item.id,\n name: tool.name,\n input: tool.input(item),\n providerExecuted: true,\n providerMetadata,\n }),\n LLMEvent.toolResult({\n id: item.id,\n name: tool.name,\n result: tool.result\n ? yield* tool.result(item)\n : item.error !== undefined && item.error !== null\n ? { type: \"error\", value: item.error }\n : { type: \"json\", value: item },\n providerExecuted: true,\n providerMetadata,\n }),\n )\n return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult\n})\n\nexport * as ResponsesHostedTools from \"./responses-hosted-tools.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "6F030A82FCFDE2AC64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-compatible-chat.ts"], | ||
| "sourcesContent": [ | ||
| "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport * as OpenAIChat from \"./openai-chat.js\"\n\nconst ADAPTER = \"openai-compatible-chat\"\n\nexport type OpenAICompatibleChatLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Route for non-OpenAI providers that expose an OpenAI Chat-compatible\n * `/chat/completions` endpoint. Reuses `OpenAIChat.protocol` end-to-end and\n * overrides only the route id so providers can be resolved per-family without\n * colliding with native OpenAI. Provider helpers configure the route endpoint\n * before model selection.\n */\nexport const route = Route.make({\n id: ADAPTER,\n providerMetadataKey: \"openai\",\n protocol: OpenAIChat.protocol,\n endpoint: Endpoint.path(\"/chat/completions\"),\n framing: Framing.sse,\n})\n\nexport * as OpenAICompatibleChat from \"./openai-compatible-chat.js\"\n" | ||
| ], | ||
| "mappings": ";mOAKA,IAAM,EAAU,yBAWH,EAAQ,EAAM,KAAK,CAC9B,GAAI,EACJ,oBAAqB,SACrB,SAAqB,EACrB,SAAU,EAAS,KAAK,mBAAmB,EAC3C,QAAS,EAAQ,GACnB,CAAC", | ||
| "debugId": "5213A5389A10282864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/add.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { mkdir, readFile, rename, writeFile } from \"node:fs/promises\"\nimport { Effect } from \"effect\"\nimport { applyEdits, modify, parse, type ParseError } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Npm } from \"@opencode-ai/util/npm\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { resolveConfigPath } from \"../mcp/add\"\nimport { Config } from \"../../../config\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.add,\n Effect.fn(\"cli.plugin.add\")(function* (input) {\n if (!(yield* Effect.promise(() => Npm.isRegistryPackage(input.package))))\n return yield* Effect.fail(\n new Error(\"Plugin target must be an npm registry package name, version, tag, or semver range\"),\n )\n const npm = yield* Npm.Service\n const installed = yield* npm.add(input.package, { subpaths: [\"server\", \"\"] })\n const tui = yield* npm.resolve(input.package, { subpaths: [\"tui\"] })\n const target = configurationTarget(installed.entrypoint, tui.entrypoint)\n if (!target)\n return yield* Effect.fail(new Error(`Plugin package has no server or TUI entrypoint: ${input.package}`))\n\n if (target === \"server\") {\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(global.config))\n const changed = yield* Effect.promise(() => writePluginConfig(configPath, input.package))\n process.stdout.write(\n changed\n ? `Plugin \"${input.package}\" installed and added to ${configPath}${EOL}`\n : `Plugin \"${input.package}\" is already configured in ${configPath}${EOL}`,\n )\n return\n }\n\n const config = yield* Config.Service\n yield* config.update((draft) => {\n if (configured(draft.plugins, input.package)) return\n draft.plugins = [...(draft.plugins ?? []), input.package]\n })\n process.stdout.write(`TUI plugin \"${input.package}\" installed and added to ${config.path}${EOL}`)\n }),\n)\n\nexport function configurationTarget(server?: string, tui?: string) {\n if (server) return \"server\" as const\n if (tui) return \"tui\" as const\n}\n\nexport async function writePluginConfig(configPath: string, spec: string) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return \"{}\"\n throw error\n })\n const errors: ParseError[] = []\n const config: unknown = parse(text, errors, { allowTrailingComma: true })\n if (errors.length || typeof config !== \"object\" || config === null || Array.isArray(config))\n throw new Error(`Invalid global configuration: ${configPath}`)\n const plugins = \"plugins\" in config ? config.plugins : undefined\n if (plugins !== undefined && !Array.isArray(plugins)) throw new Error(`Invalid plugins configuration: ${configPath}`)\n if (configured(plugins, spec)) return false\n\n const updated = applyEdits(\n text,\n modify(text, [\"plugins\"], [...(plugins ?? []), spec], { formattingOptions: { tabSize: 2, insertSpaces: true } }),\n )\n await mkdir(path.dirname(configPath), { recursive: true })\n const temporary = configPath + \".tmp\"\n await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n await rename(temporary, configPath)\n return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n return plugins?.some(\n (entry) =>\n entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec),\n )\n}\n" | ||
| ], | ||
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| "debugId": "D5F9E58D4849651164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex-shared.ts"], | ||
| "sourcesContent": [ | ||
| "import type { AnyAuthClient } from \"google-auth-library\"\nimport { Effect, Redacted } from \"effect\"\nimport { Auth, MissingCredentialError } from \"../route/auth.js\"\n\nconst SCOPE = \"https://www.googleapis.com/auth/cloud-platform\"\n\nexport type OAuthOptions =\n | { readonly accessToken?: string; readonly auth?: never }\n | { readonly accessToken?: never; readonly auth?: Auth.Definition }\n\nexport type ApiKeyOptions =\n | (OAuthOptions & { readonly apiKey?: never })\n | { readonly accessToken?: never; readonly apiKey?: string; readonly auth?: never }\n\nexport const project = (value?: string) =>\n value ??\n process.env.GOOGLE_VERTEX_PROJECT ??\n process.env.GOOGLE_CLOUD_PROJECT ??\n process.env.GCP_PROJECT ??\n process.env.GCLOUD_PROJECT\n\nexport const location = (value: string | undefined, fallback: string) =>\n value ??\n process.env.GOOGLE_VERTEX_LOCATION ??\n process.env.GOOGLE_CLOUD_LOCATION ??\n process.env.VERTEX_LOCATION ??\n fallback\n\nexport const host = (location: string) => {\n if (location === \"global\") return \"aiplatform.googleapis.com\"\n // Jurisdictional multi-regions use Regional Endpoint Platform domains.\n if (location === \"eu\" || location === \"us\") return `aiplatform.${location}.rep.googleapis.com`\n return `${location}-aiplatform.googleapis.com`\n}\n\nexport const requireProject = (value: string | undefined) => {\n if (value) return value\n throw new Error(\"Google Vertex requires a project when baseURL is not configured\")\n}\n\nexport const apiKey = (input: ApiKeyOptions) => {\n if (input.apiKey !== undefined && (input.accessToken !== undefined || input.auth !== undefined))\n throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n if (input.accessToken !== undefined || input.auth !== undefined) return undefined\n return input.apiKey ?? process.env.GOOGLE_VERTEX_API_KEY\n}\n\nconst adc = (project?: string) => {\n let client: Promise<AnyAuthClient> | undefined\n const loadClient = () => {\n if (client) return client\n client = import(\"google-auth-library\").then(({ GoogleAuth }) =>\n new GoogleAuth({ projectId: project, scopes: [SCOPE] }).getClient(),\n )\n return client\n }\n return Auth.effect(\n Effect.tryPromise({\n try: async () => {\n const token = await (await loadClient()).getAccessToken()\n if (!token.token) throw new Error(\"Google ADC returned an empty access token\")\n return Redacted.make(token.token)\n },\n catch: () => new MissingCredentialError(\"Google Application Default Credentials\"),\n }),\n ).bearer()\n}\n\nexport const oauth = (input: OAuthOptions, project?: string) => {\n if (input.accessToken !== undefined && input.auth !== undefined)\n throw new Error(\"Google Vertex accessToken cannot be combined with auth\")\n if (input.auth) return input.auth\n if (input.accessToken !== undefined) return Auth.bearer(input.accessToken)\n return adc(project)\n}\n\nexport * as GoogleVertexShared from \"./google-vertex-shared.js\"\n" | ||
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| "debugId": "1DD8FAEF306ACBE364756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/amazon-bedrock-mantle.ts"], | ||
| "sourcesContent": [ | ||
| "import { Auth } from \"../route/auth.js\"\nimport type { Route as RouteDef, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAIChat } from \"../protocols/openai-chat.js\"\nimport { OpenAIResponses } from \"../protocols/openai-responses.js\"\nimport { BedrockAuth, type Credentials } from \"../protocols/utils/bedrock-auth.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly credentials?: Credentials\n readonly region?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly auth?: \"bearer\" | \"sigv4\"\n readonly baseURL?: string\n readonly credentials?: Credentials\n readonly region?: string\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst responsesRoute = OpenAIResponses.route.with({\n id: \"bedrock-mantle-responses\",\n provider: id,\n})\n\nconst chatRoute = OpenAIChat.route.with({\n id: \"bedrock-mantle-chat\",\n provider: id,\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst configuredRoute = <Body, Prepared>(route: RouteDef<Body, Prepared>, input: Config) => {\n const region = input.region ?? input.credentials?.region ?? \"us-east-1\"\n const credentials = input.credentials === undefined ? undefined : { ...input.credentials, region }\n return route.with({\n endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },\n auth:\n input.apiKey === undefined\n ? BedrockAuth.sigV4(credentials, { service: \"bedrock-mantle\", name: \"Bedrock Mantle\" })\n : Auth.bearer(input.apiKey),\n })\n}\n\nconst defaults = (input: Config) => {\n const { apiKey: _, baseURL: _baseURL, credentials: _credentials, region: _region, ...rest } = input\n return rest\n}\n\nexport const configure = (input: Config = {}) => {\n const configuredResponsesRoute = configuredRoute(responsesRoute, input)\n const configuredChatRoute = configuredRoute(chatRoute, input)\n const modelDefaults = defaults(input)\n const responses = (modelID: string | ModelID) =>\n configuredResponsesRoute\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n const chat = (modelID: string | ModelID) =>\n configuredChatRoute\n .with(withOpenAIOptions(modelID, modelDefaults))\n .model<OpenAIProviderOptionsInput>({ id: modelID })\n\n return {\n id,\n model: chat,\n chat,\n responses,\n configure,\n }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n throw new Error(\"Amazon Bedrock Mantle bearer auth requires apiKey\")\n if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n throw new Error(\"Amazon Bedrock Mantle SigV4 auth does not accept apiKey\")\n return {\n apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n baseURL: settings.baseURL,\n credentials: settings.credentials,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n region: settings.region,\n }\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).responses(modelID)\nexport const model = chatModel\n" | ||
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| "debugId": "66F6C76F1D1ADF0764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/bedrock-event-stream.ts", "../ai/src/protocols/utils/bedrock-cache.ts", "../ai/src/protocols/utils/bedrock-media.ts", "../ai/src/protocols/bedrock-converse.ts", "../ai/src/providers/amazon-bedrock.ts"], | ||
| "sourcesContent": [ | ||
| "import { EventStreamCodec } from \"@smithy/eventstream-codec\"\nimport { fromUtf8, toUtf8 } from \"@smithy/util-utf8\"\nimport { Effect, Stream } from \"effect\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderShared } from \"./shared.js\"\n\n// Bedrock streams responses using the AWS event stream binary protocol — each\n// frame is `[length:4][headers-length:4][prelude-crc:4][headers][payload][crc:4]`.\n// We use `@smithy/eventstream-codec` to validate framing and CRCs, then\n// reconstruct the JSON wrapping by `:event-type` so the chunk schema can match.\nconst eventCodec = new EventStreamCodec(toUtf8, fromUtf8)\nconst utf8 = new TextDecoder()\n\n// Cursor-tracking buffer state. Bytes accumulate in `buffer`; `offset` is the\n// read position. Reading by `subarray` is zero-copy. We only allocate a fresh\n// buffer when a new network chunk arrives and we need to append.\ninterface FrameBufferState {\n readonly buffer: Uint8Array\n readonly offset: number\n}\n\nconst initialFrameBuffer: FrameBufferState = { buffer: new Uint8Array(0), offset: 0 }\n\nconst appendChunk = (state: FrameBufferState, chunk: Uint8Array): FrameBufferState => {\n const remaining = state.buffer.length - state.offset\n // Compact: drop the consumed prefix and append the new chunk in one alloc.\n // This bounds buffer growth to at most one network chunk past the live\n // window, regardless of stream length.\n const next = new Uint8Array(remaining + chunk.length)\n next.set(state.buffer.subarray(state.offset), 0)\n next.set(chunk, remaining)\n return { buffer: next, offset: 0 }\n}\n\nconst consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8Array) =>\n Effect.gen(function* () {\n let cursor = appendChunk(state, chunk)\n const out: object[] = []\n while (cursor.buffer.length - cursor.offset >= 4) {\n const view = cursor.buffer.subarray(cursor.offset)\n const totalLength = new DataView(view.buffer, view.byteOffset, view.byteLength).getUint32(0, false)\n if (view.length < totalLength) break\n\n const decoded = yield* Effect.try({\n try: () => eventCodec.decode(view.subarray(0, totalLength)),\n catch: (error) =>\n ProviderShared.eventError(\n route,\n `Failed to decode Bedrock Converse event-stream frame: ${\n error instanceof Error ? error.message : String(error)\n }`,\n ),\n })\n cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }\n\n const messageType = decoded.headers[\":message-type\"]?.value\n if (messageType === \"error\") {\n const code = decoded.headers[\":error-code\"]?.value\n const message = decoded.headers[\":error-message\"]?.value\n return yield* ProviderShared.eventError(\n route,\n [code, message].filter((value): value is string => typeof value === \"string\").join(\": \") ||\n \"Bedrock Converse event-stream error\",\n )\n }\n const eventType =\n messageType === \"event\"\n ? decoded.headers[\":event-type\"]?.value\n : messageType === \"exception\"\n ? decoded.headers[\":exception-type\"]?.value\n : undefined\n if (typeof eventType !== \"string\") continue\n const payload = utf8.decode(decoded.body)\n if (!payload) continue\n // The AWS event stream pads short payloads with a `p` field. Drop it\n // before handing the object to the chunk schema. JSON decode goes\n // through the shared Schema-driven codec to satisfy the package rule\n // against ad-hoc `JSON.parse` calls.\n const parsed = (yield* ProviderShared.parseJson(\n route,\n payload,\n \"Failed to parse Bedrock Converse event-stream payload\",\n )) as Record<string, unknown>\n delete parsed.p\n out.push({ [eventType]: parsed })\n }\n return [cursor, out] as const\n })\n\n/**\n * AWS event-stream framing for Bedrock Converse. Each frame is decoded by\n * `@smithy/eventstream-codec` (length + header + payload + CRC) and rewrapped\n * under its `:event-type` header so the chunk schema can match the JSON\n * payload directly.\n */\nexport const framing = (route: string): Framing.Definition<object> => ({\n id: \"aws-event-stream\",\n frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),\n})\n\nexport * as BedrockEventStream from \"./bedrock-event-stream.js\"\n", | ||
| "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema/index.js\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache.js\"\n\n// Bedrock cache markers are positional: emit a `cachePoint` block immediately\n// after the content the caller wants treated as a cacheable prefix. Bedrock\n// accepts optional `ttl: \"5m\" | \"1h\"` on cachePoint.\nexport const CachePointBlock = Schema.Struct({\n cachePoint: Schema.Struct({\n type: Schema.tag(\"default\"),\n ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n }),\n})\nexport type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>\n\n// Callers pass a shared counter through every `block()` call site so the\n// four-breakpoint budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache.js\"\nexport const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)\n\nconst DEFAULT_5M: CachePointBlock = { cachePoint: { type: \"default\" } }\nconst DEFAULT_1H: CachePointBlock = { cachePoint: { type: \"default\", ttl: \"1h\" } }\n\nexport const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {\n if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n if (breakpoints.remaining <= 0) {\n breakpoints.dropped += 1\n return undefined\n }\n breakpoints.remaining -= 1\n return ttlBucket(cache.ttlSeconds) === \"1h\" ? DEFAULT_1H : DEFAULT_5M\n}\n\nexport * as BedrockCache from \"./bedrock-cache.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema/index.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n// Bedrock Converse accepts image `format` as the file extension and\n// `source.bytes` as base64 in the JSON wire format.\nexport const ImageFormat = Schema.Literals([\"png\", \"jpeg\", \"gif\", \"webp\"])\nexport type ImageFormat = Schema.Schema.Type<typeof ImageFormat>\n\nexport const ImageBlock = Schema.Struct({\n image: Schema.Struct({\n format: ImageFormat,\n source: Schema.Struct({ bytes: Schema.String }),\n }),\n})\nexport type ImageBlock = Schema.Schema.Type<typeof ImageBlock>\n\n// Bedrock document blocks require a user-facing name so the model can refer to\n// the uploaded document.\nexport const DocumentFormat = Schema.Literals([\"pdf\", \"csv\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"html\", \"txt\", \"md\"])\nexport type DocumentFormat = Schema.Schema.Type<typeof DocumentFormat>\n\nexport const DocumentBlock = Schema.Struct({\n document: Schema.Struct({\n format: DocumentFormat,\n name: Schema.String,\n source: Schema.Struct({ bytes: Schema.String }),\n }),\n})\nexport type DocumentBlock = Schema.Schema.Type<typeof DocumentBlock>\n\nconst IMAGE_FORMATS = {\n \"image/png\": \"png\",\n \"image/jpeg\": \"jpeg\",\n \"image/jpg\": \"jpeg\",\n \"image/gif\": \"gif\",\n \"image/webp\": \"webp\",\n} as const satisfies Record<string, ImageFormat>\n\nconst DOCUMENT_FORMATS = {\n \"application/pdf\": \"pdf\",\n \"text/csv\": \"csv\",\n \"application/msword\": \"doc\",\n \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\": \"docx\",\n \"application/vnd.ms-excel\": \"xls\",\n \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\": \"xlsx\",\n \"text/html\": \"html\",\n \"text/plain\": \"txt\",\n \"text/markdown\": \"md\",\n} as const satisfies Record<string, DocumentFormat>\n\nconst documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({\n document: {\n format,\n name,\n source: { bytes },\n },\n})\n\n// Route by MIME. Known image/document formats lower into a typed block; anything\n// else fails with a clear error instead of silently degrading to a malformed\n// document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)\n// get an image-specific error so the caller knows it's a format-support issue,\n// not a kind-detection issue.\nexport const lower = Effect.fn(\"BedrockMedia.lower\")(function* (part: MediaPart) {\n const mime = part.mediaType.toLowerCase()\n const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]\n if (imageFormat) {\n const media = ProviderShared.normalizeMedia(part)\n return { image: { format: imageFormat, source: { bytes: media.base64 } } } satisfies ImageBlock\n }\n if (mime.startsWith(\"image/\"))\n return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)\n const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]\n if (documentFormat) {\n if (!part.filename)\n return yield* ProviderShared.invalidRequest(\"Bedrock Converse document media requires a filename\")\n const media = ProviderShared.normalizeMedia(part)\n return documentBlock(part.filename, documentFormat, media.base64)\n }\n return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)\n})\n\nexport * as BedrockMedia from \"./bedrock-media.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n Usage,\n type CacheHint,\n type FinishReason,\n type FinishReasonDetails,\n type JsonSchema,\n type LLMRequest,\n type LanguageModelToolSchemaCompatibility,\n type ProviderMetadata,\n type ReasoningPart,\n type ToolCallPart,\n type ToolDefinition,\n type ToolResultPart,\n} from \"../schema/index.js\"\nimport { BedrockEventStream } from \"./bedrock-event-stream.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { BedrockAuth } from \"./utils/bedrock-auth.js\"\nimport { BedrockCache } from \"./utils/bedrock-cache.js\"\nimport { BedrockMedia } from \"./utils/bedrock-media.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth.js\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst BedrockTextBlock = Schema.Struct({\n text: Schema.String,\n})\ntype BedrockTextBlock = Schema.Schema.Type<typeof BedrockTextBlock>\n\nconst BedrockToolUseBlock = Schema.Struct({\n toolUse: Schema.Struct({\n toolUseId: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n }),\n})\ntype BedrockToolUseBlock = Schema.Schema.Type<typeof BedrockToolUseBlock>\n\nconst BedrockToolResultContentItem = Schema.Union([\n Schema.Struct({ text: Schema.String }),\n Schema.Struct({ json: Schema.Unknown }),\n BedrockMedia.ImageBlock,\n BedrockMedia.DocumentBlock,\n])\n\nconst BedrockToolResultBlock = Schema.Struct({\n toolResult: Schema.Struct({\n toolUseId: Schema.String,\n content: Schema.Array(BedrockToolResultContentItem),\n status: Schema.optional(Schema.Literals([\"success\", \"error\"])),\n }),\n})\ntype BedrockToolResultBlock = Schema.Schema.Type<typeof BedrockToolResultBlock>\n\nconst BedrockReasoningBlock = Schema.Struct({\n reasoningContent: Schema.Union([\n Schema.Struct({\n reasoningText: Schema.Struct({\n text: Schema.String,\n signature: Schema.optional(Schema.String),\n }),\n }),\n Schema.Struct({ redactedContent: Schema.String }),\n ]),\n})\n\nconst BedrockUserBlock = Schema.Union([\n BedrockTextBlock,\n BedrockMedia.ImageBlock,\n BedrockMedia.DocumentBlock,\n BedrockToolResultBlock,\n BedrockCache.CachePointBlock,\n])\ntype BedrockUserBlock = Schema.Schema.Type<typeof BedrockUserBlock>\n\nconst BedrockAssistantBlock = Schema.Union([\n BedrockTextBlock,\n BedrockReasoningBlock,\n BedrockToolUseBlock,\n BedrockCache.CachePointBlock,\n])\ntype BedrockAssistantBlock = Schema.Schema.Type<typeof BedrockAssistantBlock>\n\nconst BedrockMessage = Schema.Union([\n Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(BedrockUserBlock) }),\n Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(BedrockAssistantBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype BedrockMessage = Schema.Schema.Type<typeof BedrockMessage>\n\nconst BedrockSystemBlock = Schema.Union([BedrockTextBlock, BedrockCache.CachePointBlock])\ntype BedrockSystemBlock = Schema.Schema.Type<typeof BedrockSystemBlock>\n\nconst BedrockToolSpec = Schema.Struct({\n toolSpec: Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n inputSchema: Schema.Struct({\n json: JsonObject,\n }),\n }),\n})\ntype BedrockToolSpec = Schema.Schema.Type<typeof BedrockToolSpec>\n\nconst BedrockTool = Schema.Union([BedrockToolSpec, BedrockCache.CachePointBlock])\ntype BedrockTool = Schema.Schema.Type<typeof BedrockTool>\n\nconst BedrockToolChoice = Schema.Union([\n Schema.Struct({ auto: Schema.Struct({}) }),\n Schema.Struct({ any: Schema.Struct({}) }),\n Schema.Struct({ tool: Schema.Struct({ name: Schema.String }) }),\n])\n\nconst BedrockBodyFields = {\n modelId: Schema.String,\n messages: Schema.Array(BedrockMessage),\n system: optionalArray(BedrockSystemBlock),\n inferenceConfig: Schema.optional(\n Schema.Struct({\n maxTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n }),\n ),\n toolConfig: Schema.optional(\n Schema.Struct({\n tools: Schema.Array(BedrockTool),\n toolChoice: Schema.optional(BedrockToolChoice),\n }),\n ),\n additionalModelRequestFields: Schema.optional(JsonObject),\n}\nconst BedrockConverseBody = Schema.Struct(BedrockBodyFields)\nexport type BedrockConverseBody = Schema.Schema.Type<typeof BedrockConverseBody>\n\nconst BedrockUsageSchema = Schema.Struct({\n inputTokens: Schema.optional(Schema.Number),\n outputTokens: Schema.optional(Schema.Number),\n totalTokens: Schema.optional(Schema.Number),\n cacheReadInputTokens: Schema.optional(Schema.Number),\n cacheWriteInputTokens: Schema.optional(Schema.Number),\n})\ntype BedrockUsageSchema = Schema.Schema.Type<typeof BedrockUsageSchema>\n\nconst BedrockStreamException = Schema.Struct({\n message: Schema.optional(Schema.String),\n originalMessage: Schema.optional(Schema.String),\n originalStatusCode: Schema.optional(Schema.Number),\n})\n\n// Streaming event shape — the AWS event stream wraps each JSON payload by its\n// `:event-type` header (e.g. `messageStart`, `contentBlockDelta`). We\n// reconstruct that wrapping in `decodeFrames` below so the event schema can\n// stay a plain discriminated record.\nconst BedrockEvent = Schema.Struct({\n messageStart: Schema.optional(Schema.Struct({ role: Schema.String })),\n contentBlockStart: Schema.optional(\n Schema.Struct({\n contentBlockIndex: Schema.Number,\n start: Schema.optional(\n Schema.Struct({\n toolUse: Schema.optional(Schema.Struct({ toolUseId: Schema.String, name: Schema.String })),\n }),\n ),\n }),\n ),\n contentBlockDelta: Schema.optional(\n Schema.Struct({\n contentBlockIndex: Schema.Number,\n delta: Schema.optional(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n toolUse: Schema.optional(Schema.Struct({ input: Schema.String })),\n reasoningContent: Schema.optional(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n // Blob fields in Bedrock's JSON event stream are base64 strings.\n redactedContent: Schema.optional(Schema.String),\n // Vercel's Bedrock provider exposes the same delta under\n // Anthropic's shorter `data` spelling.\n data: Schema.optional(Schema.String),\n }),\n ),\n }),\n ),\n }),\n ),\n contentBlockStop: Schema.optional(Schema.Struct({ contentBlockIndex: Schema.Number })),\n messageStop: Schema.optional(\n Schema.Struct({\n stopReason: Schema.String,\n additionalModelResponseFields: Schema.optional(Schema.Unknown),\n }),\n ),\n metadata: Schema.optional(\n Schema.Struct({\n usage: Schema.optional(BedrockUsageSchema),\n metrics: Schema.optional(Schema.Unknown),\n }),\n ),\n internalServerException: Schema.optional(BedrockStreamException),\n modelStreamErrorException: Schema.optional(BedrockStreamException),\n validationException: Schema.optional(BedrockStreamException),\n throttlingException: Schema.optional(BedrockStreamException),\n serviceUnavailableException: Schema.optional(BedrockStreamException),\n})\ntype BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerToolSpec = (tool: ToolDefinition, inputSchema: JsonSchema): BedrockToolSpec => ({\n toolSpec: {\n name: tool.name,\n description: tool.description,\n inputSchema: { json: inputSchema },\n },\n})\n\nconst lowerTools = (\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n breakpoints: BedrockCache.Breakpoints,\n tools: ReadonlyArray<ToolDefinition>,\n): BedrockTool[] => {\n const result: BedrockTool[] = []\n for (const tool of tools) {\n result.push(lowerToolSpec(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, compatibility)))\n const cachePoint = BedrockCache.block(breakpoints, tool.cache)\n if (cachePoint) result.push(cachePoint)\n }\n return result\n}\n\nconst textWithCache = (\n breakpoints: BedrockCache.Breakpoints,\n text: string,\n cache: CacheHint | undefined,\n): Array<BedrockTextBlock | BedrockCache.CachePointBlock> => {\n const cachePoint = BedrockCache.block(breakpoints, cache)\n return cachePoint ? [{ text }, cachePoint] : [{ text }]\n}\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Bedrock Converse\", toolChoice, {\n auto: () => ({ auto: {} }) as const,\n none: () => undefined,\n required: () => ({ any: {} }) as const,\n tool: (name) => ({ tool: { name } }) as const,\n })\n\nconst bedrockMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ bedrock: metadata })\n\nconst reasoningSignature = (part: ReasoningPart) => {\n const bedrock = part.providerMetadata?.bedrock\n return (\n part.encrypted ??\n (ProviderShared.isRecord(bedrock) && typeof bedrock.signature === \"string\" ? bedrock.signature : undefined)\n )\n}\n\nconst reasoningRedactedData = (part: ReasoningPart) => {\n const bedrock = part.providerMetadata?.bedrock\n return ProviderShared.isRecord(bedrock) && typeof bedrock.redactedData === \"string\" ? bedrock.redactedData : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart): BedrockToolUseBlock => ({\n toolUse: {\n toolUseId: part.id,\n name: part.name,\n input: part.input,\n },\n})\n\nconst lowerToolResultContent = Effect.fn(\"BedrockConverse.lowerToolResultContent\")(function* (part: ToolResultPart) {\n if (part.result.type === \"text\" || part.result.type === \"error\")\n return [{ text: ProviderShared.toolResultText(part) }]\n if (part.result.type === \"json\") return [{ json: part.result.value }]\n\n const content: Array<Schema.Schema.Type<typeof BedrockToolResultContentItem>> = []\n for (const item of part.result.value) {\n if (item.type === \"text\") {\n content.push({ text: item.text })\n continue\n }\n const media = yield* BedrockMedia.lower({\n type: \"media\",\n mediaType: item.mime,\n data: item.uri,\n filename: item.name,\n })\n content.push(media)\n }\n return content\n})\n\nconst lowerToolResult = Effect.fn(\"BedrockConverse.lowerToolResult\")(function* (part: ToolResultPart) {\n return {\n toolResult: {\n toolUseId: part.id,\n content: yield* lowerToolResultContent(part),\n status: part.result.type === \"error\" ? \"error\" : \"success\",\n },\n } satisfies BedrockToolResultBlock\n})\n\nconst lowerMessages = Effect.fn(\"BedrockConverse.lowerMessages\")(function* (\n request: LLMRequest,\n breakpoints: BedrockCache.Breakpoints,\n) {\n const messages: BedrockMessage[] = []\n\n for (const message of request.messages) {\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Bedrock Converse\", message)\n const content = textWithCache(breakpoints, part.text, part.cache)\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"user\") {\n const content: BedrockUserBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"user\", [\"text\", \"media\"])\n if (part.type === \"text\") {\n content.push(...textWithCache(breakpoints, part.text, part.cache))\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* BedrockMedia.lower(part))\n continue\n }\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"assistant\") {\n const content: BedrockAssistantBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"assistant\", [\n \"text\",\n \"reasoning\",\n \"tool-call\",\n ])\n if (part.type === \"text\") {\n content.push(...textWithCache(breakpoints, part.text, part.cache))\n continue\n }\n if (part.type === \"reasoning\") {\n const signature = reasoningSignature(part)\n const redactedData = reasoningRedactedData(part)\n if (signature === undefined && redactedData !== undefined) {\n content.push({ reasoningContent: { redactedContent: redactedData } })\n continue\n }\n content.push({ reasoningContent: { reasoningText: { text: part.text, signature } } })\n continue\n }\n if (part.type === \"tool-call\") {\n content.push(lowerToolCall(part))\n continue\n }\n }\n messages.push({ role: \"assistant\", content })\n continue\n }\n\n const content: BedrockUserBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"tool\", [\"tool-result\"])\n content.push(yield* lowerToolResult(part))\n const cachePoint = BedrockCache.block(breakpoints, part.cache)\n if (cachePoint) content.push(cachePoint)\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n }\n\n return messages\n})\n\n// System prompts share the cache-point convention: emit the text block, then\n// optionally a positional `cachePoint` marker.\nconst lowerSystem = (\n breakpoints: BedrockCache.Breakpoints,\n system: ReadonlyArray<LLMRequest[\"system\"][number]>,\n): BedrockSystemBlock[] => system.flatMap((part) => textWithCache(breakpoints, part.text, part.cache))\n\nconst fromRequest = Effect.fn(\"BedrockConverse.fromRequest\")(function* (request: LLMRequest) {\n const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n const generation = request.generation\n // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in\n // tools → system → messages order to favour the highest-impact prefixes.\n const breakpoints = BedrockCache.breakpoints()\n const toolConfig =\n request.tools.length > 0\n ? {\n tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools),\n // Converse has no native \"none\". Keep definitions stable for prompt\n // caching and omit only the unsupported choice.\n toolChoice,\n }\n : undefined\n const system = request.system.length === 0 ? undefined : lowerSystem(breakpoints, request.system)\n const messages = yield* lowerMessages(request, breakpoints)\n if (breakpoints.dropped > 0) {\n yield* Effect.logWarning(\n `Bedrock Converse: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${BedrockCache.BEDROCK_BREAKPOINT_CAP} per request.`,\n )\n }\n return {\n modelId: request.model.id,\n messages,\n system,\n inferenceConfig:\n generation?.maxTokens === undefined &&\n generation?.temperature === undefined &&\n generation?.topP === undefined &&\n (generation?.stop === undefined || generation.stop.length === 0)\n ? undefined\n : {\n maxTokens: generation?.maxTokens,\n temperature: generation?.temperature,\n topP: generation?.topP,\n stopSequences: generation?.stop,\n },\n toolConfig,\n // Converse's base inferenceConfig has no topK; Anthropic/Nova accept it\n // as a model-specific field, so it goes through additionalModelRequestFields.\n additionalModelRequestFields: generation?.topK === undefined ? undefined : { top_k: generation.topK },\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string): FinishReason => {\n if (reason === \"end_turn\" || reason === \"stop_sequence\") return \"stop\"\n if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n if (reason === \"tool_use\") return \"tool-calls\"\n if (reason === \"content_filtered\" || reason === \"guardrail_intervened\") return \"content-filter\"\n if (reason === \"malformed_model_output\" || reason === \"malformed_tool_use\") return \"error\"\n return \"unknown\"\n}\n\n// AWS reports inputTokens separately from cache reads and writes.\n// Bedrock does not break reasoning out of outputTokens for current models.\nconst mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {\n if (!usage) return undefined\n const inputTokens = ProviderShared.sumTokens(\n usage.inputTokens,\n usage.cacheReadInputTokens,\n usage.cacheWriteInputTokens,\n )\n return new Usage({\n inputTokens,\n outputTokens: usage.outputTokens,\n nonCachedInputTokens: usage.inputTokens,\n cacheReadInputTokens: usage.cacheReadInputTokens,\n cacheWriteInputTokens: usage.cacheWriteInputTokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),\n providerMetadata: { bedrock: usage },\n })\n}\n\ninterface ParserState {\n readonly tools: ToolStream.State<number>\n // Bedrock splits the finish into `messageStop` (carries `stopReason`) and\n // `metadata` (carries usage). Hold the terminal event in state so `onHalt`\n // can emit exactly one finish after both chunks have had a chance to arrive.\n readonly pendingFinish: { readonly reason: FinishReasonDetails; readonly usage?: Usage } | undefined\n readonly hasToolCalls: boolean\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignatures: Readonly<Record<number, string>>\n}\n\nconst step = (state: ParserState, event: BedrockEvent) =>\n Effect.gen(function* () {\n if (event.contentBlockStart?.start?.toolUse) {\n const index = event.contentBlockStart.contentBlockIndex\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n return [\n {\n ...state,\n lifecycle,\n tools: ToolStream.start(state.tools, index, {\n id: event.contentBlockStart.start.toolUse.toolUseId,\n name: event.contentBlockStart.start.toolUse.name,\n }),\n },\n [\n ...events,\n LLMEvent.toolInputStart({\n id: event.contentBlockStart.start.toolUse.toolUseId,\n name: event.contentBlockStart.start.toolUse.name,\n }),\n ],\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.text) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.textDelta(\n state.lifecycle,\n events,\n `text-${event.contentBlockDelta.contentBlockIndex}`,\n event.contentBlockDelta.delta.text,\n ),\n },\n events,\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.reasoningContent) {\n const index = event.contentBlockDelta.contentBlockIndex\n const reasoning = event.contentBlockDelta.delta.reasoningContent\n const events: LLMEvent[] = []\n const redactedData = reasoning.redactedContent ?? reasoning.data\n const providerMetadata = reasoning.signature\n ? bedrockMetadata({ signature: reasoning.signature })\n : redactedData !== undefined\n ? bedrockMetadata({ redactedData })\n : undefined\n const lifecycle =\n reasoning.text !== undefined || providerMetadata !== undefined\n ? Lifecycle.reasoningDelta(\n state.lifecycle,\n events,\n `reasoning-${index}`,\n reasoning.text ?? \"\",\n providerMetadata,\n )\n : state.lifecycle\n return [\n {\n ...state,\n lifecycle,\n reasoningSignatures: reasoning.signature\n ? { ...state.reasoningSignatures, [index]: reasoning.signature }\n : state.reasoningSignatures,\n },\n events,\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.toolUse) {\n const index = event.contentBlockDelta.contentBlockIndex\n const result = ToolStream.appendExisting(\n ADAPTER,\n state.tools,\n index,\n event.contentBlockDelta.delta.toolUse.input,\n \"Bedrock Converse tool delta is missing its tool call\",\n )\n if (ToolStream.isError(result)) return yield* result\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n return [{ ...state, lifecycle, tools: result.tools }, events] as const\n }\n\n if (event.contentBlockStop) {\n const index = event.contentBlockStop.contentBlockIndex\n const result = yield* ToolStream.finish(ADAPTER, state.tools, index)\n const events: LLMEvent[] = []\n const resultEvents = result.events ?? []\n const lifecycle = resultEvents.length\n ? Lifecycle.stepStart(state.lifecycle, events)\n : Lifecycle.reasoningEnd(\n Lifecycle.textEnd(state.lifecycle, events, `text-${index}`),\n events,\n `reasoning-${index}`,\n state.reasoningSignatures[index]\n ? bedrockMetadata({ signature: state.reasoningSignatures[index] })\n : undefined,\n )\n events.push(...resultEvents)\n return [\n {\n ...state,\n hasToolCalls:\n resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||\n state.hasToolCalls,\n lifecycle,\n tools: result.tools,\n reasoningSignatures: Object.fromEntries(\n Object.entries(state.reasoningSignatures).filter(([key]) => key !== String(index)),\n ),\n },\n events,\n ] as const\n }\n\n if (event.messageStop) {\n return [\n {\n ...state,\n pendingFinish: {\n reason: {\n normalized: mapFinishReason(event.messageStop.stopReason),\n raw: event.messageStop.stopReason,\n },\n usage: state.pendingFinish?.usage,\n },\n },\n [],\n ] as const\n }\n\n if (event.metadata) {\n const usage = mapUsage(event.metadata.usage) ?? state.pendingFinish?.usage\n return [\n {\n ...state,\n pendingFinish: {\n reason: state.pendingFinish?.reason ?? { normalized: \"stop\" },\n usage,\n },\n },\n [],\n ] as const\n }\n\n const exception = (\n [\n [\"internalServerException\", event.internalServerException],\n [\"modelStreamErrorException\", event.modelStreamErrorException],\n [\"serviceUnavailableException\", event.serviceUnavailableException],\n [\"throttlingException\", event.throttlingException],\n [\"validationException\", event.validationException],\n ] as const\n ).find((entry) => entry[1] !== undefined)\n if (exception) {\n return yield* new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({\n message: exception[1]?.message ?? exception[1]?.originalMessage ?? \"Bedrock Converse stream error\",\n code: exception[0],\n }),\n })\n }\n\n return [state, []] as const\n })\n\nconst framing = BedrockEventStream.framing(ADAPTER)\n\nconst onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>\n state.pendingFinish\n ? (() => {\n const events: LLMEvent[] = []\n Lifecycle.finish(state.lifecycle, events, {\n reason: {\n ...state.pendingFinish.reason,\n normalized:\n state.pendingFinish.reason.normalized === \"stop\" && state.hasToolCalls\n ? \"tool-calls\"\n : state.pendingFinish.reason.normalized,\n },\n usage: state.pendingFinish.usage,\n })\n return events\n })()\n : []\n\n// =============================================================================\n// Protocol And Bedrock Route\n// =============================================================================\n/**\n * The Bedrock Converse protocol — request body construction, body schema, and\n * the streaming-event state machine.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: BedrockConverseBody,\n from: fromRequest,\n },\n stream: {\n event: BedrockEvent,\n initial: () => ({\n tools: ToolStream.empty<number>(),\n pendingFinish: undefined,\n hasToolCalls: false,\n lifecycle: Lifecycle.initial(),\n reasoningSignatures: {},\n }),\n step,\n onHalt: (state) => Effect.succeed(onHalt(state)),\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"bedrock\",\n providerMetadataKey: \"bedrock\",\n protocol,\n // Bedrock's URL embeds the region in the route endpoint host and the\n // validated modelId in the path. We read the validated body so the URL\n // matches the body that gets signed.\n endpoint: Endpoint.path<BedrockConverseBody>(\n ({ body }) => `/model/${encodeURIComponent(body.modelId)}/converse-stream`,\n ),\n auth: BedrockAuth.auth,\n framing,\n})\n\nexport const sigV4Auth = BedrockAuth.sigV4\n\nexport * as BedrockConverse from \"./bedrock-converse.js\"\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse.js\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n readonly apiKey?: string\n readonly headers?: Record<string, string>\n readonly credentials?: BedrockCredentials\n /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */\n readonly region?: string\n /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */\n readonly baseURL?: string\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly auth?: \"bearer\" | \"sigv4\"\n readonly baseURL?: string\n readonly credentials?: BedrockCredentials\n readonly region?: string\n readonly topP?: number\n}\nexport const routes = [BedrockConverse.route]\n\nconst bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`\n\nconst configuredRoute = (input: Config) => {\n const { apiKey, credentials, region, baseURL, ...rest } = input\n const resolvedRegion = region ?? credentials?.region ?? \"us-east-1\"\n return BedrockConverse.route.with({\n ...rest,\n provider: id,\n endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },\n auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n throw new Error(\"Amazon Bedrock bearer auth requires apiKey\")\n if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n throw new Error(\"Amazon Bedrock SigV4 auth does not accept apiKey\")\n return configure({\n apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n baseURL: settings.baseURL,\n credentials: settings.credentials,\n generation: settings.topP === undefined ? undefined : { topP: settings.topP },\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n region: settings.region,\n }).model(modelID)\n}\n" | ||
| ], | ||
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| "sources": ["src/commands/handlers/run.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(Commands.commands.run, (input) =>\n Effect.gen(function* () {\n const { runNonInteractive } = yield* Effect.promise(() => import(\"../../run/run\"))\n const separator = process.argv.indexOf(\"--\", 2)\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n yield* Effect.promise(() =>\n runNonInteractive({\n server,\n message: [...input.message, ...(separator === -1 ? [] : process.argv.slice(separator + 1))],\n continue: input.continue,\n session: Option.getOrUndefined(input.session),\n fork: input.fork,\n model: Option.getOrUndefined(input.model),\n agent: Option.getOrUndefined(input.agent),\n format: input.format,\n file: [...input.file],\n title: Option.getOrUndefined(input.title),\n thinking: input.thinking,\n auto: input.auto || input.yolo || input.dangerouslySkipPermissions,\n }),\n )\n }),\n)\n" | ||
| ], | ||
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| "debugId": "40A136A6F05A5F5D64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"], | ||
| "sourcesContent": [ | ||
| "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor.js\"\nimport type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from \"./image.js\"\nimport type { AIError } from \"./schema/index.js\"\n\nexport type Execute = RequestExecutor.Interface[\"execute\"]\n\nexport interface Interface {\n readonly generate: <Options extends ImageOptions>(\n request: ImageRequestFor<Options>,\n ) => Effect.Effect<ImageResponse, AIError>\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/ImageClient\") {}\n\nexport const generate = <Options extends ImageOptions>(\n request: ImageRequestFor<Options>,\n): Effect.Effect<ImageResponse, AIError, Service> =>\n Effect.gen(function* () {\n const client = yield* Service\n return yield* client.generate(request)\n })\n\nexport const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(\n Service,\n Effect.gen(function* () {\n const executor = yield* RequestExecutor.Service\n return Service.of({\n generate: (request) => request.model.route.generate(request, executor.execute),\n })\n }),\n)\n\nexport const ImageClient = {\n Service,\n layer,\n generate,\n} as const\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport {\n HttpOptions,\n InvalidRequestReason,\n AIError,\n ModelID,\n ProviderID,\n ProviderMetadata,\n Usage,\n} from \"./schema/index.js\"\nimport { ImageClient, Service, type Execute as ImageExecute } from \"./image-client.js\"\n\nexport interface ImageRoute<Options extends ImageOptions = ImageOptions> {\n readonly id: string\n readonly generate: (request: ImageRequestFor<Options>, execute: ImageExecute) => Effect.Effect<ImageResponse, AIError>\n}\n\nexport type ImageOptions = Record<string, unknown>\n\nexport class ImageModel<Options extends ImageOptions = ImageOptions> {\n declare protected readonly _Options: (options: Options) => Options\n readonly id: ModelID\n readonly provider: ProviderID\n readonly route: ImageRoute<Options>\n readonly http?: HttpOptions\n\n constructor(input: ImageModel.Input<Options>) {\n this.id = input.id\n this.provider = input.provider\n this.route = input.route\n this.http = input.http\n }\n\n static make<Options extends ImageOptions = ImageOptions>(input: ImageModel.MakeInput<Options>) {\n return new ImageModel<Options>({\n id: ModelID.make(input.id),\n provider: ProviderID.make(input.provider),\n route: input.route,\n http: input.http,\n })\n }\n}\n\nexport namespace ImageModel {\n export interface Input<Options extends ImageOptions = ImageOptions> {\n readonly id: ModelID\n readonly provider: ProviderID\n readonly route: ImageRoute<Options>\n readonly http?: HttpOptions\n }\n\n export interface MakeInput<Options extends ImageOptions = ImageOptions>\n extends Omit<Input<Options>, \"id\" | \"provider\"> {\n readonly id: string | ModelID\n readonly provider: string | ProviderID\n }\n}\n\nexport const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {\n expected: \"Image.Model\",\n})\n\nconst ImageBytesInput = Schema.Struct({\n type: Schema.Literal(\"bytes\"),\n data: Schema.Uint8Array,\n mediaType: Schema.String,\n})\nconst ImageUrlInput = Schema.Struct({\n type: Schema.Literal(\"url\"),\n url: Schema.String,\n})\nconst ImageFileIDInput = Schema.Struct({\n type: Schema.Literal(\"file-id\"),\n id: Schema.String,\n})\nconst ImageFileURIInput = Schema.Struct({\n type: Schema.Literal(\"file-uri\"),\n uri: Schema.String,\n mediaType: Schema.String,\n})\n\nexport const ImageInputSchema = Schema.Union([\n ImageBytesInput,\n ImageUrlInput,\n ImageFileIDInput,\n ImageFileURIInput,\n]).pipe(Schema.toTaggedUnion(\"type\"))\nexport type ImageInput = Schema.Schema.Type<typeof ImageInputSchema>\n\nexport const ImageInput = {\n bytes: (data: Uint8Array, mediaType: string): ImageInput => ({ type: \"bytes\", data, mediaType }),\n url: (url: string): ImageInput => ({ type: \"url\", url }),\n file: (id: string): ImageInput => ({ type: \"file-id\", id }),\n fileUri: (uri: string, mediaType: string): ImageInput => ({ type: \"file-uri\", uri, mediaType }),\n} as const\n\nexport class ImageRequest extends Schema.Class<ImageRequest>(\"Image.Request\")({\n model: ImageModelSchema,\n prompt: Schema.String,\n images: Schema.optional(Schema.Array(ImageInputSchema)),\n options: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n http: Schema.optional(HttpOptions),\n}) {\n declare protected readonly _ImageRequest: void\n}\n\nexport type ImageRequestFor<Options extends ImageOptions = ImageOptions> = Omit<ImageRequest, \"model\" | \"options\"> & {\n readonly model: ImageModel<Options>\n readonly options?: Options\n}\n\nexport type ImageModelOptions<Model> = Model extends ImageModel<infer Options> ? Options : never\n\nexport type ImageRequestInput<Model extends object = ImageModel> = Omit<\n ConstructorParameters<typeof ImageRequest>[0],\n \"model\" | \"options\" | \"http\"\n> & {\n readonly model: Model\n readonly options?: NoInfer<ImageModelOptions<Model>>\n readonly http?: HttpOptions.Input\n} & (Model extends ImageModel<ImageModelOptions<Model>> ? unknown : never)\n\nexport class GeneratedImage extends Schema.Class<GeneratedImage>(\"Image.Generated\")({\n mediaType: Schema.String,\n data: Schema.Union([Schema.String, Schema.Uint8Array]),\n providerMetadata: Schema.optional(ProviderMetadata),\n}) {}\n\nexport class ImageResponse extends Schema.Class<ImageResponse>(\"Image.Response\")({\n images: Schema.Array(GeneratedImage),\n usage: Schema.optional(Usage),\n providerMetadata: Schema.optional(ProviderMetadata),\n}) {\n get image() {\n return this.images[0]\n }\n}\n\nexport function request<const Model extends object>(\n input: ImageRequestInput<Model>,\n): ImageRequestFor<ImageModelOptions<Model>>\nexport function request(input: ImageRequest): ImageRequest\nexport function request(input: ImageRequest | ImageRequestInput) {\n if (input instanceof ImageRequest) return input\n return new ImageRequest({\n ...input,\n model: input.model as unknown as ImageModel,\n http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n })\n}\n\nexport function generate<const Model extends object>(\n input: ImageRequestInput<Model>,\n): Effect.Effect<ImageResponse, AIError, Service>\nexport function generate(input: ImageRequest): Effect.Effect<ImageResponse, AIError, Service>\nexport function generate(input: ImageRequest | ImageRequestInput) {\n return Effect.try({\n try: () => (input instanceof ImageRequest ? input : request(input)),\n catch: (error) =>\n new AIError({\n module: \"Image\",\n method: \"generate\",\n reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),\n }),\n }).pipe(Effect.flatMap((request) => ImageClient.generate(request as unknown as ImageRequestFor<ImageOptions>)))\n}\n\nexport const Image = {\n request,\n generate,\n} as const\n" | ||
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| "debugId": "439DEB35ACF48B3564756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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 endpoint = yield* Service.ensure(yield* ServiceConfig.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": "D97593A08179B45864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/logout.ts"], | ||
| "sourcesContent": [ | ||
| "import { autocomplete, intro, outro, spinner } from \"@clack/prompts\"\nimport { Effect, Option } from \"effect\"\nimport type { IntegrationInfo } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { handlePromptErrors, prompt, requireInteractive } from \"../../../ui/prompt\"\nimport { createClient, loadIntegrations, location, request, resolveIntegration } from \"./shared\"\n\nexport default Runtime.handler(\n Commands.commands.auth.commands.logout,\n Effect.fn(\"cli.auth.logout\")((input) =>\n logout({\n target: Option.getOrUndefined(input.target),\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n }).pipe(handlePromptErrors),\n ),\n)\n\nconst logout = Effect.fn(\"cli.auth.logout.run\")(function* (input: {\n target?: string\n server?: string\n standalone: boolean\n}) {\n if (!input.target)\n yield* requireInteractive(\"Pass an integration ID or name when running without an interactive terminal\")\n intro(\"Remove credential\")\n const client = yield* createClient({ server: input.server, standalone: input.standalone })\n const integrations = yield* loadIntegrations(client)\n const integration = yield* chooseIntegration(integrations, input.target)\n const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n if (credentials.length === 0) {\n const environment = integration.connections\n .filter((connection) => connection.type === \"env\")\n .map((connection) => connection.name)\n if (environment.length) {\n yield* Effect.fail(\n new Error(\n `${integration.name} is authenticated through ${environment.join(\", \")}; unset the environment variable to disconnect`,\n ),\n )\n }\n yield* Effect.fail(new Error(`No stored credentials for ${integration.name}`))\n }\n const progress = spinner()\n progress.start(\"Removing credential...\")\n yield* Effect.forEach(\n credentials,\n (connection) =>\n request((signal) => client.credential.remove({ credentialID: connection.id, location }, { signal })),\n { concurrency: \"unbounded\", discard: true },\n ).pipe(\n Effect.tap(() => Effect.sync(() => progress.stop(`Disconnected from ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Failed to remove credential\", 1))),\n )\n outro(\"Done\")\n})\n\nconst chooseIntegration = Effect.fn(\"cli.auth.logout.integration\")(function* (\n integrations: IntegrationInfo[],\n target?: string,\n) {\n if (target) return yield* resolveIntegration(integrations, target)\n const configured = integrations.filter((integration) =>\n integration.connections.some((connection) => connection.type === \"credential\"),\n )\n if (configured.length === 0) return yield* Effect.fail(new Error(\"No stored credentials found\"))\n const id = yield* prompt<string>(() =>\n autocomplete({\n message: \"Select integration\",\n maxItems: 8,\n options: configured.map((integration) => ({\n value: integration.id,\n label: integration.name,\n hint: integration.connections\n .filter((connection) => connection.type === \"credential\")\n .map((connection) => connection.label)\n .join(\", \"),\n })),\n }),\n )\n return yield* resolveIntegration(configured, id)\n})\n" | ||
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| "debugId": "BF6FE2A1C934D91B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/stats.ts"], | ||
| "sourcesContent": [ | ||
| "import { ClientError, OpenCode, type SessionStatsInfo } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../util/error\"\n\nconst handler = Effect.fn(\"cli.stats\")(function* (input: Runtime.Input<typeof Commands.commands.stats>) {\n const days = Option.getOrUndefined(input.days)\n const year = Option.getOrUndefined(input.year)\n const project = Option.getOrUndefined(input.project)\n if ([days !== undefined, year !== undefined, input.all].filter(Boolean).length > 1)\n yield* Effect.fail(new Error(\"--days, --year, and --all cannot be combined\"))\n\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n const range = statsRange({ days, year, all: input.all })\n const projectID =\n project === \".\"\n ? yield* request(server.endpoint.url, (signal) =>\n client.location\n .get({ location: { directory: process.cwd() } }, { signal })\n .then((location) => location.project.id),\n )\n : project\n const details = input.models || input.tools || input.cost || input.full\n const stats = yield* request(server.endpoint.url, (signal) =>\n client.session.stats(\n {\n from: range.from,\n to: range.to,\n project: projectID,\n timezone: Intl.DateTimeFormat().resolvedOptions().timeZone || \"UTC\",\n tools: input.json || input.tools || input.full ? \"detail\" : details ? \"none\" : \"summary\",\n },\n { signal },\n ),\n )\n const output = input.json\n ? JSON.stringify(stats, null, 2)\n : renderStats(stats, {\n label: range.label,\n scope: project === undefined ? \"all projects\" : project === \".\" ? \"current project\" : \"selected project\",\n models: input.models || input.full,\n tools: input.tools || input.full,\n cost: input.cost || input.full,\n limit: input.limit,\n color: process.stdout.isTTY && process.env.NO_COLOR === undefined,\n width: process.stdout.columns ?? 80,\n })\n process.stdout.write(output + EOL)\n})\n\nexport default Runtime.handler(Commands.commands.stats, (input) =>\n handler(input).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n)\n\nexport function request<A>(url: string, run: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({\n try: () => run(AbortSignal.timeout(30_000)),\n catch: (cause) =>\n cause instanceof ClientError && cause.reason === \"Transport\"\n ? new Error(`Could not reach server at ${url}`, { cause })\n : cause,\n })\n}\n\ntype RenderOptions = {\n label: string\n scope: string\n models: boolean\n tools: boolean\n cost: boolean\n limit: number\n color: boolean\n width: number\n}\n\nconst colors = terminalPalette()\n\nexport function renderStats(stats: SessionStatsInfo, options: RenderOptions) {\n const totalTokens = tokenTotal(stats.tokens)\n const toolTotals = stats.tools.mode === \"none\" ? undefined : stats.tools.totals\n const terminalTools = toolTotals ? toolTotals.succeeded + toolTotals.failed : 0\n const toolRate = !toolTotals || terminalTools === 0 ? undefined : (toolTotals.succeeded / terminalTools) * 100\n const primary = `1;${colors.primary}`\n const sessionLine = [\n metricCount(stats.sessions, \"session\", options.color),\n stats.subagents > 0 ? metricCount(stats.subagents, \"subagent\", options.color) : undefined,\n ]\n .filter((value) => value !== undefined)\n .join(\" · \")\n const toolSummary = !toolTotals\n ? \"tool stats unavailable\"\n : toolRate === undefined\n ? \"no tool calls\"\n : `${style(formatPercent(toolRate), primary, options.color)} tool success`\n const details = options.models || options.tools || options.cost\n const empty = stats.sessions === 0 && stats.prompts === 0 && stats.steps === 0\n const heading = `${style(\"opencode stats\", primary, options.color)} ${style(`· ${options.label} · ${options.scope}`, \"2\", options.color)}`\n const lines = details\n ? [style(`${options.label} · ${options.scope}`, \"2\", options.color)]\n : empty\n ? [\n heading,\n \"\",\n style(\"no activity in this range\", \"2\", options.color),\n \"\",\n style(\"opencode.ai\", \"2\", options.color),\n ]\n : [\n heading,\n \"\",\n ...renderActivity(stats.activity, stats.range.from, stats.range.to, options.color, options.width),\n \"\",\n sessionLine,\n `${metricCount(stats.prompts, \"prompt\", options.color)} · ${metricCount(stats.steps, \"step\", options.color)} · ${metricCount(totalTokens, \"token\", options.color)}`,\n `${toolSummary} · ${metricCount(stats.activeDays, \"active day\", options.color)} · best streak ${style(stats.streak.toString(), primary, options.color)} day${stats.streak === 1 ? \"\" : \"s\"}`,\n \"\",\n style(\"opencode.ai\", \"2\", options.color),\n ]\n\n if (options.cost) lines.push(...(lines.length > 0 ? [\"\"] : []), ...renderCost(stats))\n if (options.models)\n lines.push(...(lines.length > 0 ? [\"\"] : []), ...renderModels(stats, options.limit, options.width))\n if (options.tools) lines.push(...(lines.length > 0 ? [\"\"] : []), ...renderTools(stats, options.limit, options.width))\n return lines.join(EOL)\n}\n\nfunction statsRange(input: { days?: number; year?: number; all: boolean }) {\n const now = new Date()\n const to = now.getTime() + 1\n if (input.all) return { from: undefined, to, label: \"all time\" }\n if (input.days !== undefined) {\n const from = new Date(now.getFullYear(), now.getMonth(), now.getDate())\n from.setDate(from.getDate() - Math.max(0, input.days - 1))\n return {\n from: from.getTime(),\n to,\n label: input.days === 0 || input.days === 1 ? \"today\" : `last ${input.days} days`,\n }\n }\n const year = input.year ?? now.getFullYear()\n return {\n from: new Date(year, 0, 1).getTime(),\n to: year === now.getFullYear() ? to : new Date(year + 1, 0, 1).getTime(),\n label: year === now.getFullYear() ? `${year} so far` : year.toString(),\n }\n}\n\nfunction renderActivity(\n activity: SessionStatsInfo[\"activity\"],\n from: number,\n to: number,\n color: boolean,\n width: number,\n) {\n const values = new Map(activity.map((day) => [day.date, day.steps]))\n const rangeStart = dateOrdinal(new Date(from))\n const rangeEnd = dateOrdinal(new Date(to - 1))\n const end = new Date(to - 1)\n end.setHours(12, 0, 0, 0)\n end.setDate(end.getDate() + (7 - mondayIndex(end) - 1))\n const start = new Date(from)\n start.setHours(12, 0, 0, 0)\n start.setDate(start.getDate() - mondayIndex(start))\n const maxWeeks = Math.max(1, Math.min(53, width - 4))\n const totalWeeks = Math.floor((dateOrdinal(end) - dateOrdinal(start)) / 7) + 1\n const latest = new Date(end)\n latest.setDate(latest.getDate() - (maxWeeks - 1) * 7)\n if (start < latest) start.setTime(latest.getTime())\n\n const active = [...values.values()].filter((value) => value > 0)\n const levels = [...new Set(active)].sort((a, b) => a - b)\n const weekStarts = Array.from({ length: Math.floor((dateOrdinal(end) - dateOrdinal(start)) / 7) + 1 }, (_, week) => {\n const date = new Date(start)\n date.setDate(date.getDate() + week * 7)\n return date\n })\n const weeks = weekStarts.map((week) =>\n Array.from({ length: 7 }, (_, day) => {\n const date = new Date(week)\n date.setDate(date.getDate() + day)\n const ordinal = dateOrdinal(date)\n if (ordinal < rangeStart || ordinal > rangeEnd) return \" \"\n return activityGlyph(values.get(dateKey(date)) ?? 0, levels, color)\n }),\n )\n const weekdays = [\"Mo\", \"Tu\", \"We\", \"Th\", \"Fr\", \"Sa\", \"Su\"]\n return [\n style(totalWeeks > maxWeeks ? `activity · last ${maxWeeks} weeks` : \"activity\", `1;${colors.primary}`, color),\n ` ${style(monthLabels(weekStarts), \"2\", color)}`,\n ...weekdays.flatMap((label, day) => [\n `${style(label, \"2\", color)} ${weeks.map((week) => week[day]).join(\"\")}`,\n ...(day === weekdays.length - 1 ? [] : [\"\"]),\n ]),\n \"\",\n ` ${style(\"less\", \"2\", color)} ${[0, 1, 2, 3, 4].map((level) => paintActivity(level, color)).join(\"\")} ${style(\"more\", \"2\", color)}`,\n ]\n}\n\nfunction renderCost(stats: SessionStatsInfo) {\n const input = stats.tokens.input + stats.tokens.cache.read + stats.tokens.cache.write\n const cached = input === 0 ? 0 : (stats.tokens.cache.read / input) * 100\n return [\n \"COST & TOKENS\",\n row(\"cost\", `$${stats.cost.toFixed(2)}`),\n row(\"input\", formatNumber(stats.tokens.input)),\n row(\"output\", formatNumber(stats.tokens.output)),\n row(\"reasoning\", formatNumber(stats.tokens.reasoning)),\n row(\"cache read\", formatNumber(stats.tokens.cache.read)),\n row(\"cache write\", formatNumber(stats.tokens.cache.write)),\n row(\"cached input\", formatPercent(cached)),\n ]\n}\n\nfunction renderModels(stats: SessionStatsInfo, limit: number, width: number) {\n if (stats.models.length === 0) return [\"MODELS\", \" no model usage\"]\n const models = stats.models.slice(0, limit)\n const more = stats.models.length - models.length\n if (width < 68)\n return [\n \"MODELS\",\n ...models.flatMap((item) => [\n truncate(\n `${item.model.providerID}/${item.model.id}${item.model.variant ? `#${item.model.variant}` : \"\"}`,\n width,\n ),\n ` ${formatNumber(tokenTotal(item.tokens))} tokens · ${formatNumber(item.steps)} steps · $${item.cost.toFixed(2)}`,\n ]),\n ...(more > 0 ? [\"\", `+${more.toLocaleString(\"en-US\")} more model${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n return [\n \"MODELS\",\n tableHeader(\"model\", \"tokens\", \"steps\", \"cost\"),\n ...models.map((item) =>\n tableRow(\n `${item.model.providerID}/${item.model.id}${item.model.variant ? `#${item.model.variant}` : \"\"}`,\n formatNumber(tokenTotal(item.tokens)),\n formatNumber(item.steps),\n `$${item.cost.toFixed(2)}`,\n ),\n ),\n ...(more > 0 ? [\"\", `+${more.toLocaleString(\"en-US\")} more model${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n}\n\nfunction renderTools(stats: SessionStatsInfo, limit: number, width: number) {\n if (stats.tools.mode !== \"detail\") return [\"TOOL RELIABILITY\", \" tool details unavailable\"]\n if (stats.tools.usage.length === 0) return [\"TOOL RELIABILITY\", \" no tool calls\"]\n const tools = stats.tools.usage.slice(0, limit)\n const more = stats.tools.usage.length - tools.length\n if (width < 68)\n return [\n \"TOOL RELIABILITY\",\n ...tools.flatMap((tool) => {\n const terminal = tool.succeeded + tool.failed\n return [\n truncate(tool.name, width),\n ` ${formatNumber(tool.calls)} calls · ${terminal === 0 ? \"-\" : formatPercent((tool.failed / terminal) * 100)} error · ${tool.durationP50 === undefined ? \"-\" : formatDuration(tool.durationP50)} p50`,\n ]\n }),\n \"\",\n `${formatNumber(stats.tools.totals.succeeded + stats.tools.totals.failed)} finished calls · ${formatNumber(stats.tools.totals.unfinished)} unfinished`,\n ...(more > 0 ? [`+${more.toLocaleString(\"en-US\")} more tool${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n return [\n \"TOOL RELIABILITY\",\n tableHeader(\"tool\", \"calls\", \"error\", \"p50\"),\n ...tools.map((tool) => {\n const terminal = tool.succeeded + tool.failed\n return tableRow(\n tool.name,\n formatNumber(tool.calls),\n terminal === 0 ? \"-\" : formatPercent((tool.failed / terminal) * 100),\n tool.durationP50 === undefined ? \"-\" : formatDuration(tool.durationP50),\n )\n }),\n \"\",\n `${formatNumber(stats.tools.totals.succeeded + stats.tools.totals.failed)} finished calls · ${formatNumber(stats.tools.totals.unfinished)} unfinished`,\n ...(more > 0 ? [`+${more.toLocaleString(\"en-US\")} more tool${more === 1 ? \"\" : \"s\"}`] : []),\n ]\n}\n\nfunction row(label: string, value: string) {\n return ` ${label.padEnd(20)}${value}`\n}\n\nfunction tableHeader(label: string, second: string, third: string, fourth: string) {\n return tableRow(label, second, third, fourth)\n}\n\nfunction tableRow(label: string, second: string, third: string, fourth: string) {\n return `${truncate(label, 34).padEnd(34)}${second.padStart(10)}${third.padStart(12)}${fourth.padStart(12)}`\n}\n\nfunction truncate(value: string, width: number) {\n return value.length <= width ? value : value.slice(0, width - 1) + \"…\"\n}\n\nfunction tokenTotal(tokens: SessionStatsInfo[\"tokens\"]) {\n return tokens.input + tokens.output + tokens.reasoning + tokens.cache.read + tokens.cache.write\n}\n\nfunction formatNumber(value: number) {\n if (value >= 1_000_000_000) return `${trimDecimal(value / 1_000_000_000)}b`\n if (value >= 1_000_000) return `${trimDecimal(value / 1_000_000)}m`\n if (value >= 1_000) return `${trimDecimal(value / 1_000)}k`\n return Math.round(value).toLocaleString(\"en-US\")\n}\n\nfunction trimDecimal(value: number) {\n return value.toFixed(1).replace(/\\.0$/, \"\")\n}\n\nfunction formatPercent(value: number) {\n return `${value.toFixed(value >= 10 ? 1 : 2)}%`\n}\n\nfunction formatDuration(value: number) {\n if (value < 1_000) return `${Math.round(value)}ms`\n return `${trimDecimal(value / 1_000)}s`\n}\n\nfunction metricCount(value: number, noun: string, color: boolean) {\n return `${style(formatNumber(value), `1;${colors.primary}`, color)} ${noun}${value === 1 ? \"\" : \"s\"}`\n}\n\nfunction style(value: string, code: string, color: boolean) {\n return color ? `\\x1b[${code}m${value}\\x1b[0m` : value\n}\n\nfunction activityGlyph(value: number, levels: number[], color: boolean) {\n if (value === 0) return paintActivity(0, color)\n const index = levels.indexOf(value)\n const level = Math.max(1, Math.ceil(((index + 1) / levels.length) * 4))\n return paintActivity(level, color)\n}\n\nfunction paintActivity(level: number, color: boolean) {\n const glyph = [\"·\", \"░\", \"▒\", \"▓\", \"█\"][level]\n if (!color) return glyph\n if (level === 0) return `\\x1b[2m${glyph}\\x1b[22m`\n return `\\x1b[${colors.activity[level - 1]}m${glyph}\\x1b[39m`\n}\n\nfunction terminalPalette() {\n const background = Number(process.env.COLORFGBG?.split(\";\").at(-1))\n if (Number.isFinite(background) && background >= 7)\n return {\n primary: \"38;2;59;125;216\",\n activity: [\"38;2;153;169;192\", \"38;2;122;155;200\", \"38;2;90;140;208\", \"38;2;59;125;216\"],\n }\n if (Number.isFinite(background))\n return {\n primary: \"38;2;250;178;131\",\n activity: [\"38;2;117;99;87\", \"38;2;161;125;102\", \"38;2;206;152;116\", \"38;2;250;178;131\"],\n }\n return { primary: \"36\", activity: [\"2;36\", \"36\", \"1;36\", \"1;96\"] }\n}\n\nfunction monthLabels(weeks: Date[]) {\n const line: string[] = []\n weeks.reduce((previous, week, index) => {\n const middle = new Date(week)\n middle.setDate(middle.getDate() + 3)\n const month = middle.getMonth()\n if (month === previous) return previous\n Intl.DateTimeFormat(\"en-US\", { month: \"short\" })\n .format(middle)\n .split(\"\")\n .forEach((character, offset) => {\n line[index + offset] = character\n })\n return month\n }, -1)\n return Array.from({ length: Math.max(weeks.length, line.length) }, (_, index) => line[index] ?? \" \")\n .join(\"\")\n .trimEnd()\n}\n\nfunction mondayIndex(date: Date) {\n return (date.getDay() + 6) % 7\n}\n\nfunction dateKey(date: Date) {\n return [\n date.getFullYear(),\n String(date.getMonth() + 1).padStart(2, \"0\"),\n String(date.getDate()).padStart(2, \"0\"),\n ].join(\"-\")\n}\n\nfunction dateOrdinal(date: Date) {\n return Math.floor(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate()) / 86_400_000)\n}\n" | ||
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| ||
| "debugId": "6E8B0FE512FD80AB64756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is not supported yet
No alert changes
Improved metrics
- Total package byte prevSize
248096165
0No dependency changes