@opencode-ai/cli-linux-x64
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@opencode-ai/cli-linux-x64 - npm Package Compare versions
| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
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| "mappings": "", | ||
| "debugId": "72FB3F38C95847E764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/prompt/content.ts"], | ||
| "sourcesContent": [ | ||
| "export function normalizePromptContent(content: string) {\n if (content.endsWith(\"\\r\\n\")) {\n const body = content.slice(0, -2)\n return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n }\n\n if (content.endsWith(\"\\n\")) {\n const body = content.slice(0, -1)\n return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n }\n\n return content\n}\n" | ||
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| "debugId": "A99C34BABC688B3E64756E2164756E21", | ||
| "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" | ||
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| "debugId": "9E54B25BF669C3E664756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/session.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Session from \"./session.js\"\n\nimport { Schema } from \"effect\"\nimport { Agent } from \"./agent.js\"\nimport { Location } from \"./location.js\"\nimport { Model } from \"./model.js\"\nimport { Project } from \"./project.js\"\nimport { DateTimeUtcFromMillis, optional, RelativePath } from \"./schema.js\"\nimport { SessionEvent } from \"./session-event.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { Money } from \"./money.js\"\nimport { TokenUsage } from \"./token-usage.js\"\nimport { Revert } from \"./session-revert.js\"\nimport { SessionFork } from \"./session-fork.js\"\n\nexport const ID = SessionID\nexport type ID = SessionID\n\nexport const Event = SessionEvent\n\nexport { Revert }\nexport const ForkBoundary = SessionFork.Boundary\nexport type ForkBoundary = SessionFork.Boundary\nexport const ForkRequestBoundary = SessionFork.RequestBoundary\nexport type ForkRequestBoundary = SessionFork.RequestBoundary\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n parentID: ID.pipe(optional),\n fork: Schema.Struct({\n sessionID: ID,\n boundary: ForkBoundary,\n }).pipe(optional),\n projectID: Project.ID,\n agent: Agent.ID.pipe(optional),\n model: Model.Ref.pipe(optional),\n cost: Money.USD,\n tokens: TokenUsage.Info,\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n updated: DateTimeUtcFromMillis,\n archived: DateTimeUtcFromMillis.pipe(optional),\n }),\n title: Schema.String.pipe(optional),\n location: Location.Ref,\n subpath: RelativePath.pipe(optional),\n revert: Revert.pipe(optional),\n}).annotate({ identifier: \"Session.Info\" })\n\nexport const ListAnchor = Schema.Struct({\n id: ID,\n time: Schema.Finite,\n direction: Schema.Literals([\"previous\", \"next\"]),\n}).annotate({ identifier: \"Session.ListAnchor\" })\nexport interface ListAnchor extends Schema.Schema.Type<typeof ListAnchor> {}\n" | ||
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| "debugId": "9B4596223544AD8E64756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/persistence.ts", "../tui/src/model-preference.ts"], | ||
| "sourcesContent": [ | ||
| "import path from \"path\"\nimport { appendFile, mkdir, readFile, rename, rm, writeFile } from \"fs/promises\"\n\nexport function readText(filePath: string) {\n return readFile(filePath, \"utf8\")\n}\n\nexport async function readJson<T>(filePath: string) {\n return JSON.parse(await readFile(filePath, \"utf8\")) as T\n}\n\nexport async function writeText(filePath: string, content: string) {\n await mkdir(path.dirname(filePath), { recursive: true })\n await writeFile(filePath, content)\n}\n\nexport async function appendText(filePath: string, content: string) {\n await mkdir(path.dirname(filePath), { recursive: true })\n await appendFile(filePath, content)\n}\n\nexport async function writeJsonAtomic(filePath: string, value: unknown) {\n await mkdir(path.dirname(filePath), { recursive: true })\n const temporary = `${filePath}.${process.pid}.${crypto.randomUUID()}.tmp`\n await writeFile(temporary, JSON.stringify(value)).catch(async (error) => {\n await rm(temporary, { force: true }).catch(() => undefined)\n throw error\n })\n await rename(temporary, filePath).catch(async (error) => {\n await rm(temporary, { force: true }).catch(() => undefined)\n throw error\n })\n}\n", | ||
| "import { readJson, writeJsonAtomic } from \"./util/persistence\"\nimport { isRecord } from \"./util/record\"\n\nexport type ModelPreferenceModel = {\n providerID: string\n modelID: string\n}\n\nexport type ModelPreference = {\n recent: ModelPreferenceModel[]\n favorite: ModelPreferenceModel[]\n variant: Record<string, string | undefined>\n}\n\nexport type ModelPreferenceDocument = Record<string, unknown> & ModelPreference\n\nfunction models(value: unknown) {\n if (!Array.isArray(value)) return []\n return value.flatMap((item): ModelPreferenceModel[] => {\n if (!isRecord(item)) return []\n if (typeof item.providerID !== \"string\" || item.providerID.length === 0) return []\n if (typeof item.modelID !== \"string\" || item.modelID.length === 0) return []\n return [{ providerID: item.providerID, modelID: item.modelID }]\n })\n}\n\nfunction variants(value: unknown) {\n if (!isRecord(value)) return {}\n return Object.fromEntries(\n Object.entries(value).flatMap(([key, item]) => {\n if (key.length === 0 || typeof item !== \"string\" || item.length === 0) return []\n const variant = normalizeModelVariant(item)\n return variant === undefined ? [] : ([[key, variant]] as const)\n }),\n )\n}\n\nexport function normalizeModelVariant(value: string | undefined) {\n return value === \"default\" ? undefined : value\n}\n\nexport function modelPreferenceKey(model: ModelPreferenceModel) {\n return `${model.providerID}/${model.modelID}`\n}\n\nexport function cycleModelVariant(current: string | undefined, variants: string[]) {\n const named = variants.filter((variant) => variant !== \"default\")\n if (named.length === 0) return undefined\n const value = normalizeModelVariant(current)\n if (value === undefined) return named[0]\n const index = named.indexOf(value)\n if (index === -1 || index === named.length - 1) return undefined\n return named[index + 1]\n}\n\nexport function decodeModelPreference(value: unknown): ModelPreferenceDocument {\n const root = isRecord(value) ? value : {}\n return {\n ...root,\n recent: models(root.recent),\n favorite: models(root.favorite),\n variant: variants(root.variant),\n }\n}\n\nfunction preference(value: ModelPreferenceDocument): ModelPreference {\n return {\n recent: value.recent,\n favorite: value.favorite,\n variant: value.variant,\n }\n}\n\nfunction patch(value: Partial<ModelPreference>) {\n return {\n ...(value.recent === undefined ? {} : { recent: models(value.recent) }),\n ...(value.favorite === undefined ? {} : { favorite: models(value.favorite) }),\n ...(value.variant === undefined ? {} : { variant: variants(value.variant) }),\n }\n}\n\nexport function createModelPreferenceRepository(filePath: string) {\n const state = {\n pending: Promise.resolve(),\n }\n const read = () =>\n readJson<unknown>(filePath)\n .then(decodeModelPreference)\n .catch(() => decodeModelPreference(undefined))\n\n function update(change: (current: ModelPreference) => Partial<ModelPreference>) {\n const result = state.pending.then(async () => {\n const current = await read()\n const next = { ...current, ...patch(change(preference(current))) }\n await writeJsonAtomic(filePath, next)\n })\n state.pending = result.catch(() => undefined)\n return result\n }\n\n function load() {\n return state.pending.then(read).then(preference)\n }\n\n return {\n load,\n patch(value: Partial<ModelPreference>) {\n return update(() => value)\n },\n async resolveVariant(model: ModelPreferenceModel) {\n return (await load()).variant[modelPreferenceKey(model)]\n },\n saveVariant(model: ModelPreferenceModel, value: string | undefined) {\n const key = modelPreferenceKey(model)\n const next = normalizeModelVariant(value)\n return update((current) => {\n const variant = { ...current.variant }\n if (next === undefined) delete variant[key]\n if (next !== undefined) variant[key] = next\n return { variant }\n })\n },\n }\n}\n" | ||
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| "debugId": "73BD8639A763B14B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "3B11A68527EC099464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "CECAE9849109A93A64756E2164756E21", | ||
| "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 headers = {\n \"content-type\": FSUtil.mimeType(name),\n \"cache-control\": html ? \"no-cache\" : \"public, max-age=31536000, immutable\",\n \"content-security-policy\": html\n ? cspForHtml(typeof file === \"string\" ? file : Buffer.from(file).toString())\n : csp(),\n \"x-content-type-options\": \"nosniff\",\n }\n return Effect.succeed(\n request.method === \"HEAD\" ? HttpServerResponse.empty({ headers }) : HttpServerResponse.raw(file, { headers }),\n )\n}\n\nfunction isRouteNotFound(error: unknown) {\n return error instanceof HttpServerError.HttpServerError && error.reason._tag === \"RouteNotFound\"\n}\n\nfunction csp(hash = \"\") {\n return `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'${hash ? ` 'sha256-${hash}'` : \"\"}; style-src 'self' 'unsafe-inline'; img-src 'self' data: https: blob:; font-src 'self' data:; media-src 'self' data:; connect-src * data: blob:`\n}\n\nfunction cspForHtml(body: string) {\n const match = body.match(\n /<script\\b(?![^>]*\\bsrc\\s*=)[^>]*\\bid=([\"'])oc-theme-preload-script\\1[^>]*>([\\s\\S]*?)<\\/script>/i,\n )\n return csp(match ? createHash(\"sha256\").update(match[2]).digest(\"base64\") : \"\")\n}\n\nexport * as WebUi from \"./web-ui\"\n", | ||
| "import { Effect, FileSystem, Option } from \"effect\"\nimport path from \"node:path\"\nimport { brotliDecompressSync } from \"node:zlib\"\nimport { OPENCODE_LOCAL } from \"./version\"\n\nexport type AssetMap = Readonly<Record<string, string | Uint8Array>>\ntype EncodedAssetMap = Readonly<Record<string, { readonly content: string; readonly encoding: \"utf8\" | \"base64\" }>>\n\nexport const load = Effect.fn(\"cli.app-assets.load\")(function* () {\n const embedded = yield* Effect.tryPromise(() => import(\"virtual:opencode-app-assets\")).pipe(Effect.option)\n if (Option.isSome(embedded) && embedded.value.default.length > 0) return decodeArchive(embedded.value.default)\n if (!OPENCODE_LOCAL) return yield* Effect.fail(new Error(\"Web UI assets are missing from the CLI build\"))\n return decode(yield* sourceAssets())\n})\n\nfunction decodeArchive(archive: string) {\n const body = brotliDecompressSync(Buffer.from(archive, \"base64\")).toString()\n return decode(JSON.parse(body) as EncodedAssetMap)\n}\n\nconst sourceAssets = Effect.fnUntraced(function* () {\n const fs = yield* FileSystem.FileSystem\n const root = path.resolve(import.meta.dirname, \"../../app/dist\")\n const files = yield* fs.readDirectory(root, { recursive: true })\n return Object.fromEntries(\n (yield* Effect.forEach(\n files.filter((file) => !file.endsWith(\".map\")),\n Effect.fnUntraced(function* (file) {\n const target = path.join(root, file)\n if ((yield* fs.stat(target)).type === \"Directory\") return\n const body = Buffer.from(yield* fs.readFile(target))\n const encoding = isText(file) ? \"utf8\" : \"base64\"\n return [file, { encoding, content: body.toString(encoding) }] as const\n }),\n { concurrency: \"unbounded\" },\n )).filter((asset) => asset !== undefined),\n )\n})\n\nfunction decode(assets: EncodedAssetMap): AssetMap {\n return Object.fromEntries(\n Object.entries(assets).map(([key, asset]) => [\n key,\n asset.encoding === \"utf8\" ? asset.content : Buffer.from(asset.content, \"base64\"),\n ]),\n )\n}\n\nfunction isText(file: string) {\n return file === \"_headers\" || /\\.(?:css|html|js|json|svg|txt|webmanifest|xml)$/.test(file)\n}\n", | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n Commands.commands.serve,\n Effect.fnUntraced(function* (input) {\n if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n return yield* ServerProcess.run({\n mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n hostname: Option.getOrUndefined(input.hostname),\n port: Option.getOrUndefined(input.port),\n })\n }),\n)\n" | ||
| ], | ||
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| ||
| "debugId": "D65A450A875C5A9464756E2164756E21", | ||
| "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.catch(() => Effect.succeed({} as Info)),\n )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n const { fs, configFile } = yield* paths\n const temp = configFile + \".tmp\"\n yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n const existing = yield* read()\n if (value === undefined && existing.password) return existing.password\n const next = value ?? randomBytes(32).toString(\"base64url\")\n\n // Keep one private credential across server restarts so discovered clients\n // can reconnect without exposing a password flag or environment variable.\n yield* write({ ...existing, password: next })\n return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string, name?: string) {\n if (key === undefined) {\n const { password: _password, ...safe } = yield* read()\n return JSON.stringify(safe, null, 2)\n }\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)\n switch (selected) {\n case \"hostname\": {\n return (yield* read()).hostname ?? \"\"\n }\n case \"port\": {\n const port = (yield* read()).port\n return port === undefined ? \"\" : String(port)\n }\n case \"password\": {\n return yield* password()\n }\n case \"env\": {\n const env = (yield* read()).env ?? {}\n return name === undefined ? 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| ||
| "debugId": "659A8767E157716364756E2164756E21", | ||
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| } |
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mcp/add.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport path from \"node:path\"\nimport { readFile, stat, writeFile } from \"node:fs/promises\"\nimport { Effect, Option } from \"effect\"\nimport { applyEdits, modify } from \"jsonc-parser\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\n\nexport default Runtime.handler(\n Commands.commands.mcp.commands.add,\n Effect.fn(\"cli.mcp.add\")(function* (input) {\n const url = Option.getOrUndefined(input.url)\n const headers = Option.getOrUndefined(input.header)\n const environment = Option.getOrUndefined(input.env)\n // The CLI framework strands `--` operands on the root command, so read the local server command\n // straight from argv after `--`. This also lets the command carry its own flags (e.g. `npx -y`).\n const dash = process.argv.indexOf(\"--\")\n const command = dash === -1 ? [...input.command] : process.argv.slice(dash + 1)\n\n const hasCommand = command.length > 0\n if (url && hasCommand)\n return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --, not both\"))\n if (!url && !hasCommand) return yield* Effect.fail(new Error(\"Provide either --url <url> or a command after --\"))\n if (url && !URL.canParse(url)) return yield* Effect.fail(new Error(`Invalid URL: ${url}`))\n if (url && environment) return yield* Effect.fail(new Error(\"--env is only valid for local MCP servers\"))\n if (hasCommand && headers) return yield* Effect.fail(new Error(\"--header is only valid for remote MCP servers\"))\n\n const server = url\n ? { type: \"remote\" as const, url, ...(headers ? { headers } : {}) }\n : { type: \"local\" as const, command, ...(environment ? { environment } : {}) }\n\n const global = yield* Global.Service\n const configPath = yield* Effect.promise(() => resolveConfigPath(input.global ? global.config : process.cwd()))\n yield* Effect.promise(() => write(configPath, input.name, server))\n process.stdout.write(`MCP server \"${input.name}\" added to ${configPath}` + EOL)\n }),\n)\n\nexport async function resolveConfigPath(directory: string) {\n const candidates = [\n path.join(directory, \"opencode.json\"),\n path.join(directory, \"opencode.jsonc\"),\n path.join(directory, \".opencode\", \"opencode.json\"),\n path.join(directory, \".opencode\", \"opencode.jsonc\"),\n ]\n for (const candidate of candidates) {\n if (\n await stat(candidate).then(\n (info) => info.isFile(),\n () => false,\n )\n )\n return candidate\n }\n return candidates[0]\n}\n\nasync function write(configPath: string, name: string, server: unknown) {\n const text = await readFile(configPath, \"utf8\").catch((error) => {\n if (typeof error === \"object\" && error !== null && \"code\" in error && error.code === \"ENOENT\") return \"{}\"\n throw error\n })\n const edits = modify(text, [\"mcp\", \"servers\", name], server, {\n formattingOptions: { tabSize: 2, insertSpaces: true },\n })\n await writeFile(configPath, applyEdits(text, edits))\n}\n" | ||
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| "debugId": "35DD72D5FFCECBFB64756E2164756E21", | ||
| "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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Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/record.ts"], | ||
| "sourcesContent": [ | ||
| "export function isRecord(value: unknown): value is Record<string, unknown> {\n return !!value && typeof value === \"object\" && !Array.isArray(value)\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/image-client.ts", "../ai/src/image.ts"], | ||
| "sourcesContent": [ | ||
| "import { Context, Effect, Layer } from \"effect\"\nimport { RequestExecutor } from \"./route/executor.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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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/run.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(Commands.commands.run, (input) =>\n Effect.gen(function* () {\n const { runNonInteractive } = yield* Effect.promise(() => import(\"../../run/run\"))\n const separator = process.argv.indexOf(\"--\", 2)\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n yield* Effect.promise(() =>\n runNonInteractive({\n server,\n message: [...input.message, ...(separator === -1 ? [] : process.argv.slice(separator + 1))],\n continue: input.continue,\n session: Option.getOrUndefined(input.session),\n fork: input.fork,\n model: Option.getOrUndefined(input.model),\n agent: Option.getOrUndefined(input.agent),\n format: input.format,\n file: [...input.file],\n title: Option.getOrUndefined(input.title),\n thinking: input.thinking,\n auto: input.auto || input.yolo || input.dangerouslySkipPermissions,\n }),\n )\n }),\n)\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/plugin/discovery.ts", "../tui/src/util/config-directories.ts"], | ||
| "sourcesContent": [ | ||
| "import { readdir, stat } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { fileURLToPath, pathToFileURL } from \"node:url\"\nimport { isMissingPath, localProjectDirectory, projectConfigDirectories } from \"../util/config-directories\"\n\nconst extensions = new Set([\".cjs\", \".cts\", \".js\", \".jsx\", \".mjs\", \".mts\", \".ts\", \".tsx\"])\n\nexport async function tuiPluginDirectories(cwd: string, configDirectory: string) {\n const projectDirectory = await localProjectDirectory(cwd)\n const projectConfig = path.join(projectDirectory, \".opencode\")\n const directories = [configDirectory, ...projectConfigDirectories(projectDirectory, cwd)]\n const exists = await Promise.all(\n directories.map((directory) => {\n if (directory === configDirectory || directory === projectConfig) return true\n return stat(directory).then(\n (info) => info.isDirectory(),\n (error) => (isMissingPath(error) ? false : Promise.reject(error)),\n )\n }),\n )\n return directories.filter((_, index) => exists[index]).map((directory) => path.join(directory, \"plugins\", \"tui\"))\n}\n\nexport async function discoverTuiPlugins(directories: string[]) {\n return (\n await Promise.all(\n directories.map(async (directory) => {\n const entries = await readdir(directory, { withFileTypes: true }).catch((error: unknown) => {\n if (isMissingPath(error)) return []\n return Promise.reject(error)\n })\n return entries\n .filter((entry) => (entry.isFile() || entry.isSymbolicLink()) && extensions.has(path.extname(entry.name)))\n .map((entry) => path.join(directory, entry.name))\n .sort()\n }),\n )\n ).flat()\n}\n\nexport function localSource(spec: string, directory: string) {\n if (spec.startsWith(\"file://\")) return new URL(spec)\n if (spec.startsWith(\"./\") || spec.startsWith(\"../\") || path.isAbsolute(spec))\n return pathToFileURL(path.resolve(directory, spec))\n return undefined\n}\n\n// Key local plugin imports by a numeric source version so edited sources\n// re-import fresh instead of hitting the ESM cache. Bun ignores query params\n// when caching file:// URL imports, so bust with a plain path there; Node keys\n// its cache on the full URL. Fractional versions break Bun's runtime JSX/solid\n// plugin hooks, so always truncate them.\nexport function freshSpecifier(entrypoint: string, sourceVersion: number) {\n const version = Math.trunc(sourceVersion)\n if (typeof Bun !== \"undefined\") return `${fileURLToPath(entrypoint).replaceAll(\"\\\\\", \"/\")}?mtime=${version}`\n return `${entrypoint}?mtime=${version}`\n}\n", | ||
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| "debugId": "3E83C5F174865C1464756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/gemini.ts"], | ||
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| "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n LLMEvent,\n Usage,\n type FinishReason,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ProviderMetadata,\n type TextPart,\n type ToolCallPart,\n type ToolDefinition,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\n\nconst ADAPTER = \"gemini\"\n// Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.\nconst SKIP_THOUGHT_SIGNATURE_VALIDATOR = \"skip_thought_signature_validator\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\n// Gemini 3 rejects replayed function calls without a thought signature. Google's SDKs avoid that in normal chats by\n// retaining complete model responses, but OpenCode reconstructs durable history and may encounter an unsigned call\n// from an older or external session. Model IDs are open-ended, so unknown Gemini aliases inherit current behavior.\nconst requiresThoughtSignatureFallback = (modelID: string) => {\n if (!/(^|\\/)gemini-/i.test(modelID)) return false\n if (/(^|\\/)gemini-(?:1|2)(?:[.-]|$)/i.test(modelID)) return false\n if (/(^|\\/)gemini-pro(?:-vision)?$/i.test(modelID)) return false\n return !/(^|\\/)gemini-robotics-er-1\\.5(?:[.-]|$)/i.test(modelID)\n}\n\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\nexport interface OptionsInput {\n readonly [key: string]: unknown\n readonly cachedContent?: string\n readonly safetySettings?: ReadonlyArray<{\n readonly category:\n | \"HARM_CATEGORY_UNSPECIFIED\"\n | \"HARM_CATEGORY_HATE_SPEECH\"\n | \"HARM_CATEGORY_DANGEROUS_CONTENT\"\n | \"HARM_CATEGORY_HARASSMENT\"\n | \"HARM_CATEGORY_SEXUALLY_EXPLICIT\"\n | \"HARM_CATEGORY_CIVIC_INTEGRITY\"\n | (string & {})\n readonly threshold:\n | \"HARM_BLOCK_THRESHOLD_UNSPECIFIED\"\n | \"BLOCK_LOW_AND_ABOVE\"\n | \"BLOCK_MEDIUM_AND_ABOVE\"\n | \"BLOCK_ONLY_HIGH\"\n | \"BLOCK_NONE\"\n | \"OFF\"\n | (string & {})\n }>\n readonly serviceTier?: \"standard\" | \"flex\" | \"priority\" | (string & {})\n readonly thinkingConfig?: {\n readonly thinkingBudget?: number\n readonly includeThoughts?: boolean\n readonly thinkingLevel?: \"minimal\" | \"low\" | \"medium\" | \"high\" | (string & {})\n }\n}\n\nexport type ProviderOptionsInput = OptionsInput\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst GeminiTextPart = Schema.Struct({\n text: Schema.String,\n thought: Schema.optional(Schema.Boolean),\n thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiInlineDataPart = Schema.Struct({\n inlineData: Schema.Struct({\n mimeType: Schema.String,\n data: Schema.String,\n }),\n})\ntype GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>\n\nconst GeminiFunctionCallPart = Schema.Struct({\n functionCall: Schema.Struct({\n id: Schema.optional(Schema.String),\n name: Schema.String,\n args: Schema.optional(Schema.Unknown),\n }),\n thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n functionResponse: Schema.Struct({\n id: Schema.optional(Schema.String),\n name: Schema.String,\n response: Schema.Unknown,\n parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),\n }),\n})\n\nconst GeminiContentPart = Schema.Union([\n GeminiTextPart,\n GeminiInlineDataPart,\n GeminiFunctionCallPart,\n GeminiFunctionResponsePart,\n])\n\nconst GeminiContent = Schema.Struct({\n role: Schema.Literals([\"user\", \"model\"]),\n parts: Schema.Array(GeminiContentPart),\n})\ntype GeminiContent = Schema.Schema.Type<typeof GeminiContent>\n\nconst GeminiSystemInstruction = Schema.Struct({\n parts: Schema.Array(Schema.Struct({ text: Schema.String })),\n})\n\nconst GeminiFunctionDeclaration = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n parameters: Schema.optional(JsonObject),\n})\n\nconst GeminiTool = Schema.Struct({\n functionDeclarations: Schema.Array(GeminiFunctionDeclaration),\n})\n\nconst GeminiToolConfig = Schema.Struct({\n functionCallingConfig: Schema.Struct({\n mode: Schema.Literals([\"AUTO\", \"NONE\", \"ANY\"]),\n allowedFunctionNames: optionalArray(Schema.String),\n }),\n})\n\nconst GeminiThinkingConfig = Schema.Struct({\n thinkingBudget: Schema.optional(Schema.Number),\n includeThoughts: Schema.optional(Schema.Boolean),\n thinkingLevel: Schema.optional(Schema.String),\n})\n\nconst GeminiSafetySetting = Schema.Struct({\n category: Schema.String,\n threshold: Schema.String,\n})\n\nconst GeminiGenerationConfig = Schema.Struct({\n maxOutputTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n topK: Schema.optional(Schema.Number),\n frequencyPenalty: Schema.optional(Schema.Number),\n presencePenalty: Schema.optional(Schema.Number),\n seed: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n cachedContent: Schema.optional(Schema.String),\n contents: Schema.Array(GeminiContent),\n labels: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n safetySettings: optionalArray(GeminiSafetySetting),\n serviceTier: Schema.optional(Schema.String),\n systemInstruction: Schema.optional(GeminiSystemInstruction),\n tools: optionalArray(GeminiTool),\n toolConfig: Schema.optional(GeminiToolConfig),\n generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n cachedContentTokenCount: Schema.optional(Schema.Number),\n thoughtsTokenCount: Schema.optional(Schema.Number),\n promptTokenCount: Schema.optional(Schema.Number),\n candidatesTokenCount: Schema.optional(Schema.Number),\n totalTokenCount: Schema.optional(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n content: Schema.optional(GeminiContent),\n finishReason: Schema.optional(Schema.String),\n})\n\nconst GeminiPromptFeedback = Schema.StructWithRest(\n Schema.Struct({\n blockReason: Schema.optional(Schema.String),\n blockReasonMessage: Schema.optional(Schema.String),\n safetyRatings: Schema.optional(Schema.Unknown),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype GeminiPromptFeedback = Schema.Schema.Type<typeof GeminiPromptFeedback>\n\nconst GeminiEvent = Schema.Struct({\n candidates: optionalArray(GeminiCandidate),\n promptFeedback: Schema.optional(GeminiPromptFeedback),\n usageMetadata: Schema.optional(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n readonly finishReason?: string\n readonly hasToolCalls: boolean\n readonly nextToolCallId: number\n readonly promptFeedback?: GeminiPromptFeedback\n readonly usage?: Usage\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignature?: string\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n// enums (must be strings), `required` entries that don't match a property,\n// untyped arrays (`items` must be present), and `properties`/`required`\n// keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n// drop empty root parameter schemas while preserving nested empty objects,\n// expand type arrays into `anyOf`, derive `nullable: true` from null members,\n// coerce `const` to `[const]` enum, recurse properties/items, and propagate\n// only an allowlisted set of keys (description, required, format, type,\n// nullable, enum, properties, items, allOf, anyOf, oneOf, minLength).\n// Anything outside the allowlist (e.g. `additionalProperties`, `$ref`) is\n// silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n name: tool.name,\n description: tool.description,\n parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n if (part.type === \"text\") return { text: part.text }\n const media = ProviderShared.normalizeMedia(part)\n return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n const google = providerMetadata?.google\n return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n ? google.thoughtSignature\n : undefined\n}\n\nconst functionCallId = (providerMetadata: ProviderMetadata | undefined) => {\n const google = providerMetadata?.google\n return ProviderShared.isRecord(google) && typeof google.functionCallId === \"string\"\n ? google.functionCallId\n : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart) => ({\n functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input },\n thoughtSignature: thoughtSignature(part.providerMetadata),\n})\n\nconst lowerMessages = Effect.fn(\"Gemini.lowerMessages\")(function* (request: LLMRequest) {\n const contents: GeminiContent[] = []\n 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 })\n continue\n }\n if (part.type === \"reasoning\") {\n parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n continue\n }\n if (part.type === \"tool-call\") {\n const lowered = lowerToolCall(part)\n const signature = lowered.thoughtSignature\n parts.push({\n ...lowered,\n thoughtSignature:\n signature ??\n (requiresThoughtSignatureFallback(request.model.id) && !hasSignedToolCall\n ? SKIP_THOUGHT_SIGNATURE_VALIDATOR\n : undefined),\n })\n if (signature !== undefined) hasSignedToolCall = true\n continue\n }\n }\n contents.push({ role: \"model\", parts })\n continue\n }\n\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n if (part.result.type !== \"content\") {\n parts.push({\n functionResponse: {\n id: functionCallId(part.providerMetadata),\n name: part.name,\n response: {\n name: part.name,\n content: ProviderShared.toolResultText(part),\n },\n },\n })\n continue\n }\n const content: ReadonlyArray<Tool.Content> = part.result.value\n const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n const media: GeminiInlineDataPart[] = []\n for (const item of content) {\n if (item.type === \"text\") continue\n const value = ProviderShared.normalizeToolFile(item)\n media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })\n }\n if (legacyToolMedia && media.length > 0) (pendingMedia ??= []).push(...media)\n parts.push({\n functionResponse: {\n id: functionCallId(part.providerMetadata),\n name: part.name,\n response: {\n name: part.name,\n content: text.join(\"\\n\"),\n },\n parts: 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 const cached = usage.cachedContentTokenCount\n const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached)\n // `candidatesTokenCount` is visible-only; sum with thoughts to produce the\n // inclusive `outputTokens` the contract expects. Only compute the total\n // when the visible component is reported — otherwise we'd fabricate an\n // inclusive number from a partial breakdown.\n const outputTokens =\n usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined\n return new Usage({\n inputTokens: usage.promptTokenCount,\n outputTokens,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cached,\n reasoningTokens: usage.thoughtsTokenCount,\n totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n providerMetadata: { google: usage },\n })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n if (finishReason === undefined) return hasToolCalls ? \"tool-calls\" : \"unknown\"\n if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n if (finishReason === \"MAX_TOKENS\") return \"length\"\n if (\n finishReason === \"IMAGE_SAFETY\" ||\n finishReason === \"RECITATION\" ||\n finishReason === \"SAFETY\" ||\n finishReason === \"BLOCKLIST\" ||\n finishReason === \"PROHIBITED_CONTENT\" ||\n finishReason === \"SPII\" ||\n finishReason === \"MODEL_ARMOR\" ||\n finishReason === \"IMAGE_PROHIBITED_CONTENT\" ||\n finishReason === \"IMAGE_RECITATION\" ||\n finishReason === \"LANGUAGE\"\n )\n return \"content-filter\"\n if (\n finishReason === \"MALFORMED_FUNCTION_CALL\" ||\n finishReason === \"UNEXPECTED_TOOL_CALL\" ||\n finishReason === \"NO_IMAGE\" ||\n finishReason === \"TOO_MANY_TOOL_CALLS\" ||\n finishReason === \"MISSING_THOUGHT_SIGNATURE\" ||\n finishReason === \"MALFORMED_RESPONSE\"\n )\n return \"error\"\n return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> => {\n const promptBlockReason = state.finishReason === undefined ? state.promptFeedback?.blockReason : undefined\n const finishReason = state.finishReason ?? promptBlockReason\n if (finishReason === undefined && state.usage === undefined) return []\n\n const events: LLMEvent[] = []\n const lifecycle = state.reasoningSignature\n ? Lifecycle.reasoningEnd(\n state.lifecycle,\n events,\n \"reasoning-0\",\n googleMetadata({ thoughtSignature: state.reasoningSignature }),\n )\n : state.lifecycle\n Lifecycle.finish(lifecycle, events, {\n reason: {\n normalized:\n promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : \"content-filter\",\n raw: finishReason,\n },\n usage: state.usage,\n providerMetadata:\n state.promptFeedback === undefined ? undefined : googleMetadata({ promptFeedback: state.promptFeedback }),\n })\n return events\n}\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n const nextState = {\n ...state,\n promptFeedback: event.promptFeedback ?? state.promptFeedback,\n usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n }\n const candidate = event.candidates?.[0]\n if (!candidate?.content)\n return Effect.succeed([\n { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n [],\n ] as const)\n\n const events: LLMEvent[] = []\n let hasToolCalls = nextState.hasToolCalls\n let lifecycle = nextState.lifecycle\n let nextToolCallId = nextState.nextToolCallId\n let reasoningSignature = nextState.reasoningSignature\n\n for (const part of candidate.content.parts) {\n if (\"thoughtSignature\" in part && part.thoughtSignature && \"thought\" in part && part.thought)\n reasoningSignature = part.thoughtSignature\n if (\"text\" in part && part.text.length > 0) {\n if (part.thought) {\n lifecycle = Lifecycle.reasoningDelta(\n lifecycle,\n events,\n \"reasoning-0\",\n part.text,\n part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n )\n continue\n }\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n )\n lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", part.text)\n continue\n }\n\n if (\"functionCall\" in part) {\n const input = part.functionCall.args === undefined ? {} : part.functionCall.args\n const id = `tool_${nextToolCallId++}`\n const metadata = {\n ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }),\n ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }),\n }\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n )\n lifecycle = Lifecycle.stepStart(lifecycle, events)\n events.push(\n LLMEvent.toolCall({\n id,\n name: part.functionCall.name,\n input,\n providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined,\n }),\n )\n hasToolCalls = true\n }\n }\n\n return Effect.succeed([\n {\n ...nextState,\n hasToolCalls,\n lifecycle,\n nextToolCallId,\n reasoningSignature,\n finishReason: candidate.finishReason ?? nextState.finishReason,\n },\n events,\n ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine shared by Google AI Studio and Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: GeminiBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(GeminiEvent),\n initial: () => ({ hasToolCalls: false, nextToolCallId: 0, lifecycle: Lifecycle.initial() }),\n step,\n onHalt: finish,\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"google\",\n providerMetadataKey: \"google\",\n protocol,\n // Gemini's path embeds the model id and pins SSE framing at the URL level.\n endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n baseURL: DEFAULT_BASE_URL,\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini.js\"\n" | ||
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| ||
| "debugId": "37D90C6BB5C7A24B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/anthropic-messages.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n mergeJsonRecords,\n Usage,\n type CacheHint,\n type FinishReasonDetails,\n type FinishReason,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ProviderMetadata,\n type ToolCallPart,\n type ToolDefinition,\n type ToolResultPart,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport * as Cache from \"./utils/cache.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"anthropic-messages\"\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\nexport const DEFAULT_MAX_TOKENS = 32_000\n\nconst SSE_EVENTS = new Set([\n \"message\",\n \"message_start\",\n \"message_delta\",\n \"message_stop\",\n \"content_block_start\",\n \"content_block_delta\",\n \"content_block_stop\",\n \"error\",\n])\nexport const framing = Framing.sseEvents(SSE_EVENTS)\n\nexport type ThinkingInput =\n | {\n readonly type: \"adaptive\"\n readonly display?: \"summarized\" | \"omitted\"\n }\n | {\n readonly type: \"disabled\"\n }\n | ({ readonly type: \"enabled\" } & (\n | { readonly budgetTokens: number; readonly budget_tokens?: number }\n | { readonly budgetTokens?: number; readonly budget_tokens: number }\n ))\n\nexport interface OptionsInput {\n readonly [key: string]: unknown\n readonly thinking?: ThinkingInput\n readonly effort?: string\n}\n\nexport type ProviderOptionsInput = OptionsInput\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst AnthropicCacheControl = Schema.Struct({\n type: Schema.tag(\"ephemeral\"),\n ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n})\n\nconst AnthropicTextBlock = Schema.Struct({\n type: Schema.tag(\"text\"),\n text: Schema.String,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTextBlock = Schema.Schema.Type<typeof AnthropicTextBlock>\n\nconst AnthropicImageBlock = Schema.Struct({\n type: Schema.tag(\"image\"),\n source: Schema.Struct({\n type: Schema.tag(\"base64\"),\n media_type: Schema.String,\n data: Schema.String,\n }),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>\n\nconst AnthropicDocumentBlock = Schema.Struct({\n type: Schema.tag(\"document\"),\n source: Schema.Struct({\n type: Schema.tag(\"base64\"),\n media_type: Schema.Literal(\"application/pdf\"),\n data: Schema.String,\n }),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicDocumentBlock = Schema.Schema.Type<typeof AnthropicDocumentBlock>\n\nconst AnthropicThinkingBlock = Schema.Struct({\n type: Schema.tag(\"thinking\"),\n thinking: Schema.String,\n signature: Schema.optional(Schema.String),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\n\n// Safety-filtered thinking arrives as an opaque encrypted `data` payload with\n// no visible text. It must round-trip verbatim so multi-turn thinking + tool\n// use conversations keep their reasoning continuity.\nconst AnthropicRedactedThinkingBlock = Schema.Struct({\n type: Schema.tag(\"redacted_thinking\"),\n data: Schema.String,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicToolUseBlock = Schema.Struct({\n type: Schema.tag(\"tool_use\"),\n id: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicToolUseBlock = Schema.Schema.Type<typeof AnthropicToolUseBlock>\n\nconst AnthropicServerToolUseBlock = Schema.Struct({\n type: Schema.tag(\"server_tool_use\"),\n id: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolUseBlock = Schema.Schema.Type<typeof AnthropicServerToolUseBlock>\n\n// Server tool result blocks: web_search_tool_result, code_execution_tool_result,\n// and web_fetch_tool_result. The provider executes the tool and inlines the\n// structured result into the assistant turn — there is no client tool_result\n// round-trip. We round-trip the structured `content` payload as opaque JSON so\n// the next request can echo it back when continuing the conversation.\nconst AnthropicServerToolResultType = Schema.Literals([\n \"web_search_tool_result\",\n \"code_execution_tool_result\",\n \"web_fetch_tool_result\",\n])\ntype AnthropicServerToolResultType = Schema.Schema.Type<typeof AnthropicServerToolResultType>\n\nconst AnthropicServerToolResultBlock = Schema.Struct({\n type: AnthropicServerToolResultType,\n tool_use_id: Schema.String,\n content: Schema.Unknown,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>\n\n// Anthropic accepts either a plain string or an ordered array of text, image, and\n// document blocks inside `tool_result.content`. The array form keeps media as native\n// model input instead of JSON-stringifying base64 into prompt text.\nconst AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicDocumentBlock])\n\nconst AnthropicToolResultBlock = Schema.Struct({\n type: Schema.tag(\"tool_result\"),\n tool_use_id: Schema.String,\n content: Schema.Union([Schema.String, Schema.Array(AnthropicToolResultContent)]),\n is_error: Schema.optional(Schema.Boolean),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicUserBlock = Schema.Union([\n AnthropicTextBlock,\n AnthropicImageBlock,\n AnthropicDocumentBlock,\n AnthropicToolResultBlock,\n])\ntype AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>\nconst AnthropicAssistantBlock = Schema.Union([\n AnthropicTextBlock,\n AnthropicThinkingBlock,\n AnthropicRedactedThinkingBlock,\n AnthropicToolUseBlock,\n AnthropicServerToolUseBlock,\n AnthropicServerToolResultBlock,\n])\ntype AnthropicAssistantBlock = Schema.Schema.Type<typeof AnthropicAssistantBlock>\ntype AnthropicToolResultBlock = Schema.Schema.Type<typeof AnthropicToolResultBlock>\n\nconst AnthropicMessage = Schema.Union([\n Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(AnthropicUserBlock) }),\n Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(AnthropicAssistantBlock) }),\n Schema.Struct({ role: Schema.Literal(\"system\"), content: Schema.Array(AnthropicTextBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype AnthropicMessage = Schema.Schema.Type<typeof AnthropicMessage>\n\nconst AnthropicTool = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n input_schema: JsonObject,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTool = Schema.Schema.Type<typeof AnthropicTool>\n\nconst AnthropicToolChoice = Schema.Union([\n Schema.Struct({ type: Schema.Literals([\"auto\", \"any\", \"none\"]) }),\n Schema.Struct({ type: Schema.tag(\"tool\"), name: Schema.String }),\n])\n\nconst AnthropicThinking = Schema.Union([\n Schema.Struct({\n type: Schema.tag(\"enabled\"),\n budget_tokens: Schema.Number,\n }),\n Schema.Struct({\n type: Schema.tag(\"adaptive\"),\n display: Schema.optional(Schema.Literals([\"summarized\", \"omitted\"])),\n }),\n Schema.Struct({\n type: Schema.tag(\"disabled\"),\n }),\n])\n\nconst AnthropicOutputConfig = Schema.Struct({\n effort: Schema.optional(Schema.String),\n})\n\nconst AnthropicBodyFields = {\n model: Schema.String,\n system: optionalArray(AnthropicTextBlock),\n messages: Schema.Array(AnthropicMessage),\n tools: optionalArray(AnthropicTool),\n tool_choice: Schema.optional(AnthropicToolChoice),\n stream: Schema.Literal(true),\n max_tokens: Schema.Number,\n temperature: Schema.optional(Schema.Number),\n top_p: Schema.optional(Schema.Number),\n top_k: Schema.optional(Schema.Number),\n stop_sequences: optionalArray(Schema.String),\n thinking: Schema.optional(AnthropicThinking),\n output_config: Schema.optional(AnthropicOutputConfig),\n}\nexport const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)\nexport type AnthropicMessagesBody = Schema.Schema.Type<typeof AnthropicMessagesBody>\n\nconst AnthropicUsage = Schema.StructWithRest(\n Schema.Struct({\n input_tokens: optionalNull(Schema.Number),\n output_tokens: Schema.optional(Schema.Number),\n cache_creation_input_tokens: optionalNull(Schema.Number),\n cache_read_input_tokens: optionalNull(Schema.Number),\n server_tool_use: optionalNull(\n Schema.StructWithRest(Schema.Struct({ web_search_requests: Schema.optional(Schema.Number) }), [\n Schema.Record(Schema.String, Schema.Unknown),\n ]),\n ),\n output_tokens_details: optionalNull(\n Schema.StructWithRest(Schema.Struct({ thinking_tokens: Schema.optional(Schema.Number) }), [\n Schema.Record(Schema.String, Schema.Unknown),\n ]),\n ),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype AnthropicUsage = Schema.Schema.Type<typeof AnthropicUsage>\n\nconst AnthropicStreamBlock = Schema.Struct({\n type: Schema.String,\n id: Schema.optional(Schema.String),\n name: Schema.optional(Schema.String),\n text: Schema.optional(Schema.String),\n thinking: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n // redacted_thinking blocks arrive whole in content_block_start with the\n // encrypted payload in `data`; there is no streaming delta sequence.\n data: Schema.optional(Schema.String),\n input: Schema.optional(Schema.Unknown),\n // *_tool_result blocks arrive whole as content_block_start (no streaming\n // delta) with the structured payload in `content` and the originating\n // server_tool_use id in `tool_use_id`.\n tool_use_id: Schema.optional(Schema.String),\n content: Schema.optional(Schema.Unknown),\n})\n\nconst AnthropicStreamDelta = Schema.Struct({\n type: Schema.optional(Schema.String),\n text: Schema.optional(Schema.String),\n thinking: Schema.optional(Schema.String),\n partial_json: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n stop_reason: optionalNull(Schema.String),\n stop_sequence: optionalNull(Schema.String),\n})\n\nconst AnthropicEvent = Schema.Struct({\n type: Schema.String,\n index: Schema.optional(Schema.Number),\n message: Schema.optional(Schema.Struct({ usage: Schema.optional(AnthropicUsage) })),\n content_block: Schema.optional(AnthropicStreamBlock),\n delta: Schema.optional(AnthropicStreamDelta),\n usage: Schema.optional(AnthropicUsage),\n // `type` and `message` are both required per Anthropic's spec, but\n // OpenAI-compatible proxies and gateway translations occasionally drop one\n // or the other; mark them optional so a partial payload still parses and\n // the parser can fall back to whichever field is populated.\n error: Schema.optional(\n Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),\n ),\n})\ntype AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>\n\ninterface ParserState {\n readonly tools: ToolStream.State<number>\n readonly reasoningSignatures: Readonly<Record<number, string>>\n readonly usage?: Usage\n readonly pendingFinish?: {\n readonly reason: FinishReasonDetails\n readonly providerMetadata?: ProviderMetadata\n }\n readonly lifecycle: Lifecycle.State\n}\n\nconst invalid = ProviderShared.invalidRequest\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Anthropic accepts at most 4 explicit cache_control breakpoints per request,\n// across `tools`, `system`, and `messages`. Beyond the cap the API returns a\n// 400 — so the lowering layer counts emitted markers and silently drops any\n// that exceed it.\nconst ANTHROPIC_BREAKPOINT_CAP = 4\n\nconst EPHEMERAL_5M = { type: \"ephemeral\" as const }\nconst EPHEMERAL_1H = { type: \"ephemeral\" as const, ttl: \"1h\" as const }\n\nconst cacheControl = (breakpoints: Cache.Breakpoints, cache: CacheHint | undefined) => {\n if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n if (breakpoints.remaining <= 0) {\n breakpoints.dropped += 1\n return undefined\n }\n breakpoints.remaining -= 1\n return Cache.ttlBucket(cache.ttlSeconds) === \"1h\" ? EPHEMERAL_1H : EPHEMERAL_5M\n}\n\nconst anthropicMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ anthropic: metadata })\n\nconst signatureFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n const anthropic = metadata?.anthropic\n if (!ProviderShared.isRecord(anthropic)) return undefined\n return typeof anthropic.signature === \"string\" ? anthropic.signature : undefined\n}\n\nconst redactedDataFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n const anthropic = metadata?.anthropic\n if (!ProviderShared.isRecord(anthropic)) return undefined\n return typeof anthropic.redactedData === \"string\" ? anthropic.redactedData : undefined\n}\n\nconst lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition, inputSchema: JsonSchema): AnthropicTool => ({\n name: tool.name,\n description: tool.description,\n input_schema: inputSchema,\n cache_control: cacheControl(breakpoints, tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Anthropic Messages\", toolChoice, {\n auto: () => ({ type: \"auto\" as const }),\n none: () => ({ type: \"none\" as const }),\n required: () => ({ type: \"any\" as const }),\n tool: (name) => ({ type: \"tool\" as const, name }),\n })\n\nconst scrubToolCallID = (id: string) => id.replace(/[^a-zA-Z0-9_-]/g, \"_\")\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n type: \"tool_use\",\n id: scrubToolCallID(part.id),\n name: part.name,\n input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n type: \"server_tool_use\",\n id: scrubToolCallID(part.id),\n name: part.name,\n input: part.input,\n})\n\n// Server tool result blocks are typed by name. Anthropic ships three today;\n// extend this list when new server tools land. The block content is the\n// structured payload returned by the provider, which we round-trip as-is.\nconst serverToolResultType = (name: string): AnthropicServerToolResultType | undefined => {\n if (name === \"web_search\") return \"web_search_tool_result\"\n if (name === \"code_execution\") return \"code_execution_tool_result\"\n if (name === \"web_fetch\") return \"web_fetch_tool_result\"\n return undefined\n}\n\nconst lowerServerToolResult = Effect.fn(\"AnthropicMessages.lowerServerToolResult\")(function* (part: ToolResultPart) {\n const wireType = serverToolResultType(part.name)\n if (!wireType)\n return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)\n // Prefer the provider-owned replay payload; fall back to the result value for\n // histories constructed directly from provider events.\n const payload = part.providerMetadata?.anthropic?.[\"result\"] ?? part.result.value\n return { type: wireType, tool_use_id: scrubToolCallID(part.id), content: payload } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerMedia = Effect.fn(\"AnthropicMessages.lowerMedia\")(function* (part: MediaPart) {\n const media = ProviderShared.normalizeMedia(part)\n if (media.mime === \"application/pdf\")\n return {\n type: \"document\" as const,\n source: {\n type: \"base64\" as const,\n media_type: \"application/pdf\" as const,\n data: media.base64,\n },\n } satisfies AnthropicDocumentBlock\n if (!media.mime.startsWith(\"image/\"))\n return yield* invalid(`Anthropic Messages does not support media type ${part.mediaType}`)\n return {\n type: \"image\" as const,\n source: {\n type: \"base64\" as const,\n media_type: media.mime,\n data: media.base64,\n },\n } satisfies AnthropicImageBlock\n})\n\n// Tool results may carry structured text, images, and documents. Keep media as provider-native\n// content instead of JSON-stringifying base64 into a prompt string.\nconst lowerToolResultContentItem = Effect.fnUntraced(function* (item: Tool.Content) {\n if (item.type === \"text\") return { type: \"text\" as const, text: item.text } satisfies AnthropicTextBlock\n return yield* lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name })\n})\n\nconst lowerToolResultContent = Effect.fnUntraced(function* (part: ToolResultPart) {\n // Text / json / error results stay as a string for backward compatibility\n // with existing cassettes and provider expectations.\n if (part.result.type !== \"content\") return ProviderShared.toolResultText(part)\n // Preserve the narrowed array element type when compiled through a consumer package.\n const content: ReadonlyArray<Tool.Content> = part.result.value\n return yield* Effect.forEach(content, lowerToolResultContentItem)\n})\n\n// Mid-conversation system messages became available with Opus 4.8 and version\n// 5 of the other supported Claude families. Treat later family versions as\n// compatible without assuming that every Anthropic Messages model is Claude.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => {\n const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\\d+)(?:[.-](\\d+))?/.exec(\n String(request.model.id).toLowerCase(),\n )\n if (!match) return false\n const major = Number(match[2])\n if (match[1] !== \"opus\") return major >= 5\n if (major !== 4) return major >= 5\n return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8\n}\n\nconst endsInServerToolUse = (message: LLMRequest[\"messages\"][number]) => {\n const last = message.content.at(-1)\n return message.role === \"assistant\" && last?.type === \"tool-call\" && last.providerExecuted === true\n}\n\nconst canUseNativeSystemUpdate = (messages: LLMRequest[\"messages\"], index: number) => {\n const previous = messages[index - 1]\n const next = messages[index + 1]\n return (\n previous !== undefined &&\n previous.role !== \"system\" &&\n (previous.role === \"user\" || previous.role === \"tool\" || endsInServerToolUse(previous)) &&\n next?.role !== \"system\" &&\n (next === undefined || next.role === \"assistant\")\n )\n}\n\nconst splitsLocalToolResults = (messages: LLMRequest[\"messages\"], index: number) => {\n const pending = new Set<string>()\n for (const message of messages.slice(0, index)) {\n for (const part of message.content) {\n if (message.role === \"assistant\" && part.type === \"tool-call\" && part.providerExecuted !== true)\n pending.add(part.id)\n if (message.role === \"tool\" && part.type === \"tool-result\") pending.delete(part.id)\n }\n }\n return pending.size > 0\n}\n\nconst lowerNativeSystemUpdate = Effect.fn(\"AnthropicMessages.lowerNativeSystemUpdate\")(function* (\n message: LLMRequest[\"messages\"][number],\n breakpoints: Cache.Breakpoints,\n) {\n const content = yield* ProviderShared.systemUpdateText(\"Anthropic Messages\", message)\n return {\n role: \"system\" as const,\n content: content.map((part) => ({\n type: \"text\" as const,\n text: part.text,\n cache_control: cacheControl(breakpoints, part.cache),\n })),\n }\n})\n\nconst lowerMessages = Effect.fn(\"AnthropicMessages.lowerMessages\")(function* (\n request: LLMRequest,\n breakpoints: Cache.Breakpoints,\n) {\n const messages: AnthropicMessage[] = []\n\n for (const [index, message] of request.messages.entries()) {\n if (message.role === \"system\") {\n if (splitsLocalToolResults(request.messages, index))\n return yield* invalid(\"Anthropic Messages system updates cannot split a local tool call from its tool result\")\n if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {\n messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))\n continue\n }\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Anthropic Messages\", message)\n const block = { type: \"text\" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, block] }\n else messages.push({ role: \"user\", content: [block] })\n continue\n }\n\n if (message.role === \"user\") {\n const content: AnthropicUserBlock[] = []\n for (const part of message.content) {\n if (part.type === \"text\") {\n content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* lowerMedia(part))\n continue\n }\n return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"user\", [\"text\", \"media\"])\n }\n messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"assistant\") {\n const content: AnthropicAssistantBlock[] = []\n for (const part of message.content) {\n if (part.type === \"text\") {\n content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n continue\n }\n if (part.type === \"reasoning\") {\n // Mirrors Vercel's @ai-sdk/anthropic: a signature marks visible\n // thinking; only signature-less parts carrying redactedData\n // round-trip as opaque redacted_thinking blocks.\n const signature = part.encrypted ?? signatureFromMetadata(part.providerMetadata)\n const redactedData = redactedDataFromMetadata(part.providerMetadata)\n if (signature === undefined && redactedData !== undefined) {\n content.push({ type: \"redacted_thinking\", data: redactedData })\n continue\n }\n content.push({ type: \"thinking\", thinking: part.text, signature })\n continue\n }\n if (part.type === \"tool-call\") {\n content.push(part.providerExecuted ? lowerServerToolCall(part) : lowerToolCall(part))\n continue\n }\n if (part.type === \"tool-result\" && part.providerExecuted) {\n content.push(yield* lowerServerToolResult(part))\n continue\n }\n return yield* invalid(\n `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,\n )\n }\n messages.push({ role: \"assistant\", content })\n continue\n }\n\n const content: AnthropicToolResultBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"tool\", [\"tool-result\"])\n content.push({\n type: \"tool_result\",\n tool_use_id: scrubToolCallID(part.id),\n content: yield* lowerToolResultContent(part),\n is_error: part.result.type === \"error\" ? true : undefined,\n cache_control: cacheControl(breakpoints, part.cache),\n })\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\" && previous.content.every((block) => block.type === \"tool_result\"))\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n }\n\n return messages\n})\n\nconst resolveOptions = Effect.fn(\"AnthropicMessages.resolveOptions\")(function* (request: LLMRequest) {\n const input = request.providerOptions\n return {\n thinking: yield* resolveThinking(input?.thinking),\n effort: typeof input?.effort === \"string\" ? input.effort : undefined,\n }\n})\n\nconst resolveThinking = Effect.fn(\"AnthropicMessages.resolveThinking\")(function* (input: unknown) {\n if (!ProviderShared.isRecord(input)) return undefined\n if (input.type === \"adaptive\") {\n const display =\n input.display === \"summarized\"\n ? (\"summarized\" as const)\n : input.display === \"omitted\"\n ? (\"omitted\" as const)\n : undefined\n return { type: \"adaptive\" as const, ...(display === undefined ? {} : { display }) }\n }\n if (input.type === \"disabled\") return { type: \"disabled\" as const }\n if (input.type !== \"enabled\") return undefined\n const budget =\n typeof input.budgetTokens === \"number\"\n ? input.budgetTokens\n : typeof input.budget_tokens === \"number\"\n ? input.budget_tokens\n : undefined\n if (budget === undefined)\n return yield* ProviderShared.invalidRequest(\"Anthropic thinking provider option requires budgetTokens\")\n return { type: \"enabled\" as const, budget_tokens: budget }\n})\n\nconst fromRequest = Effect.fn(\"AnthropicMessages.fromRequest\")(function* (request: LLMRequest) {\n const generation = request.generation\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n // Allocate the 4-breakpoint budget in invalidation order: tools → system →\n // messages. Tools live highest in the cache hierarchy, so when callers\n // over-mark we keep their tool hints and shed the message-tail ones first.\n const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)\n const tools =\n request.tools.length === 0\n ? undefined\n : request.tools.map((tool) =>\n lowerTool(\n breakpoints,\n tool,\n ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n ),\n )\n // Anthropic rejects tool_choice when tools are absent; \"none\" is only meaningful with tools present.\n const toolChoice = tools === undefined || !request.toolChoice ? undefined : yield* lowerToolChoice(request.toolChoice)\n const system =\n request.system.length === 0\n ? undefined\n : request.system.map((part) => ({\n type: \"text\" as const,\n text: part.text,\n cache_control: cacheControl(breakpoints, part.cache),\n }))\n const messages = yield* lowerMessages(request, breakpoints)\n if (breakpoints.dropped > 0) {\n yield* Effect.logWarning(\n `Anthropic Messages: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${ANTHROPIC_BREAKPOINT_CAP} per request.`,\n )\n }\n const options = yield* resolveOptions(request)\n return {\n model: request.model.id,\n system,\n messages,\n tools,\n tool_choice: toolChoice,\n stream: true as const,\n max_tokens: generation?.maxTokens ?? DEFAULT_MAX_TOKENS,\n temperature: generation?.temperature,\n top_p: generation?.topP,\n top_k: generation?.topK,\n stop_sequences: generation?.stop,\n thinking: options.thinking,\n output_config: options.effort === undefined ? undefined : { effort: options.effort },\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n if (reason === \"end_turn\" || reason === \"stop_sequence\" || reason === \"pause_turn\") return \"stop\"\n if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n if (reason === \"tool_use\") return \"tool-calls\"\n if (reason === \"refusal\") return \"content-filter\"\n return \"unknown\"\n}\n\n// Anthropic reports the non-overlapping breakdown natively — its\n// `input_tokens` is the *non-cached* count per the Messages API docs, with\n// cache reads and writes as separate fields. We sum them to derive the\n// inclusive `inputTokens` the rest of the contract expects. Extended\n// thinking tokens are included in `output_tokens`; newer responses also\n// expose that subset through `output_tokens_details.thinking_tokens`.\nconst mapUsage = (usage: AnthropicUsage | undefined): Usage | undefined => {\n if (!usage) return undefined\n const nonCached = usage.input_tokens ?? undefined\n const cacheRead = usage.cache_read_input_tokens ?? undefined\n const cacheWrite = usage.cache_creation_input_tokens ?? undefined\n const inputTokens = ProviderShared.sumTokens(nonCached, cacheRead, cacheWrite)\n return new Usage({\n inputTokens,\n outputTokens: usage.output_tokens,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cacheRead,\n cacheWriteInputTokens: cacheWrite,\n reasoningTokens: usage.output_tokens_details?.thinking_tokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, usage.output_tokens, undefined),\n providerMetadata: { anthropic: usage },\n })\n}\n\n// Anthropic emits usage on `message_start` and again on `message_delta` — the\n// final delta carries the authoritative totals. Right-biased merge: each\n// field prefers `right` when defined, falls back to `left`. `inputTokens` is\n// recomputed from the merged breakdown so the inclusive total stays\n// consistent with `nonCached + cacheRead + cacheWrite`.\nconst mergeUsage = (left: Usage | undefined, right: Usage | undefined) => {\n if (!left) return right\n if (!right) return left\n const nonCachedInputTokens = right.nonCachedInputTokens ?? left.nonCachedInputTokens\n const cacheReadInputTokens = right.cacheReadInputTokens ?? left.cacheReadInputTokens\n const cacheWriteInputTokens = right.cacheWriteInputTokens ?? left.cacheWriteInputTokens\n const inputTokens = ProviderShared.sumTokens(nonCachedInputTokens, cacheReadInputTokens, cacheWriteInputTokens)\n const outputTokens = right.outputTokens ?? left.outputTokens\n const reasoningTokens = right.reasoningTokens ?? left.reasoningTokens\n return new Usage({\n inputTokens,\n outputTokens,\n nonCachedInputTokens,\n cacheReadInputTokens,\n cacheWriteInputTokens,\n reasoningTokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, outputTokens, undefined),\n providerMetadata: {\n anthropic: mergeJsonRecords(left.providerMetadata?.[\"anthropic\"], right.providerMetadata?.[\"anthropic\"]) ?? {},\n },\n })\n}\n\n// Server tool result blocks come whole in `content_block_start` (no streaming\n// delta sequence). We convert the payload to a `tool-result` event with\n// `providerExecuted: true`. The runtime appends it to the assistant message\n// for round-trip; downstream consumers can inspect `result.value` for the\n// structured payload.\nconst SERVER_TOOL_RESULT_NAMES: Record<AnthropicServerToolResultType, string> = {\n web_search_tool_result: \"web_search\",\n code_execution_tool_result: \"code_execution\",\n web_fetch_tool_result: \"web_fetch\",\n}\n\nconst isServerToolResultType = (type: string): type is AnthropicServerToolResultType => type in SERVER_TOOL_RESULT_NAMES\n\nconst serverToolResultEvent = (block: NonNullable<AnthropicEvent[\"content_block\"]>): LLMEvent | undefined => {\n if (!block.type || !isServerToolResultType(block.type)) return undefined\n const errorPayload =\n typeof block.content === \"object\" && block.content !== null && \"type\" in block.content\n ? String((block.content as Record<string, unknown>).type)\n : \"\"\n const isError = errorPayload.endsWith(\"_tool_result_error\")\n return LLMEvent.toolResult({\n id: block.tool_use_id ?? \"\",\n name: SERVER_TOOL_RESULT_NAMES[block.type],\n result: isError ? { type: \"error\", value: block.content } : { type: \"json\", value: block.content },\n providerExecuted: true,\n // The complete payload is irreducible provider replay state: subsequent\n // stateless requests must round-trip the typed result block verbatim.\n providerMetadata: anthropicMetadata({ blockType: block.type, result: block.content }),\n })\n}\n\ntype StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]\n\nconst NO_EVENTS: StepResult[\"1\"] = []\n\nconst onMessageStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n const usage = mapUsage(event.message?.usage)\n return [usage ? { ...state, usage: mergeUsage(state.usage, usage) } : state, NO_EVENTS]\n}\n\nconst onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n const block = event.content_block\n if (!block) return [state, NO_EVENTS]\n\n if ((block.type === \"tool_use\" || block.type === \"server_tool_use\") && event.index !== undefined) {\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n return [\n {\n ...state,\n lifecycle,\n tools: ToolStream.start(state.tools, event.index, {\n id: block.id ?? String(event.index),\n name: block.name ?? \"\",\n input:\n block.input !== undefined && (!ProviderShared.isRecord(block.input) || Object.keys(block.input).length > 0)\n ? ProviderShared.encodeJson(block.input)\n : undefined,\n providerExecuted: block.type === \"server_tool_use\",\n }),\n },\n [\n ...events,\n LLMEvent.toolInputStart({\n id: block.id ?? String(event.index),\n name: block.name ?? \"\",\n providerExecuted: block.type === \"server_tool_use\" ? true : undefined,\n }),\n ],\n ]\n }\n\n if (block.type === \"text\" && block.text !== undefined) {\n const events: LLMEvent[] = []\n const id = `text-${event.index ?? 0}`\n const lifecycle = Lifecycle.textStart(state.lifecycle, events, id)\n return [\n { ...state, lifecycle: block.text ? Lifecycle.textDelta(lifecycle, events, id, block.text) : lifecycle },\n events,\n ]\n }\n\n if (block.type === \"thinking\" && block.thinking !== undefined) {\n const events: LLMEvent[] = []\n const id = `reasoning-${event.index ?? 0}`\n const providerMetadata =\n block.signature === undefined ? undefined : anthropicMetadata({ signature: block.signature })\n const lifecycle = Lifecycle.reasoningStart(state.lifecycle, events, id, providerMetadata)\n return [\n {\n ...state,\n lifecycle: block.thinking\n ? Lifecycle.reasoningDelta(lifecycle, events, id, block.thinking, providerMetadata)\n : lifecycle,\n reasoningSignatures:\n event.index === undefined || block.signature === undefined\n ? state.reasoningSignatures\n : { ...state.reasoningSignatures, [event.index]: block.signature },\n },\n events,\n ]\n }\n\n // Redacted thinking surfaces as an empty reasoning part carrying the opaque\n // payload as `redactedData` metadata (same model as Vercel's\n // @ai-sdk/anthropic). The existing content_block_stop closes the part.\n if (block.type === \"redacted_thinking\" && block.data !== undefined) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.reasoningStart(\n state.lifecycle,\n events,\n `reasoning-${event.index ?? 0}`,\n anthropicMetadata({ redactedData: block.data }),\n ),\n },\n events,\n ]\n }\n\n const result = serverToolResultEvent(block)\n if (!result) return [state, NO_EVENTS]\n const events: LLMEvent[] = []\n return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]\n}\n\nconst onContentBlockDelta = Effect.fn(\"AnthropicMessages.onContentBlockDelta\")(function* (\n state: ParserState,\n event: AnthropicEvent,\n) {\n const delta = event.delta\n\n if (delta?.type === \"text_delta\" && delta.text) {\n const events: LLMEvent[] = []\n return [\n { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${event.index ?? 0}`, delta.text) },\n events,\n ] satisfies StepResult\n }\n\n if (delta?.type === \"thinking_delta\" && delta.thinking) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${event.index ?? 0}`, delta.thinking),\n },\n events,\n ] satisfies StepResult\n }\n\n if (delta?.type === \"signature_delta\" && delta.signature) {\n const index = event.index ?? 0\n return [\n {\n ...state,\n reasoningSignatures: { ...state.reasoningSignatures, [index]: delta.signature },\n },\n NO_EVENTS,\n ] satisfies StepResult\n }\n\n if (delta?.type === \"input_json_delta\" && event.index !== undefined) {\n if (!delta.partial_json) return [state, NO_EVENTS] satisfies StepResult\n if (!state.tools[event.index]) return [state, NO_EVENTS] satisfies StepResult\n const result = ToolStream.appendExisting(\n ADAPTER,\n state.tools,\n event.index,\n delta.partial_json,\n \"Anthropic Messages tool argument delta is missing its tool call\",\n )\n if (ToolStream.isError(result)) return yield* result\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n }\n\n return [state, NO_EVENTS] satisfies StepResult\n})\n\nconst onContentBlockStop = Effect.fn(\"AnthropicMessages.onContentBlockStop\")(function* (\n state: ParserState,\n event: AnthropicEvent,\n) {\n if (event.index === undefined) return [state, NO_EVENTS] satisfies StepResult\n const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)\n const events: LLMEvent[] = []\n const resultEvents = result.events ?? []\n const signature = state.reasoningSignatures[event.index]\n const lifecycle = resultEvents.length\n ? Lifecycle.stepStart(state.lifecycle, events)\n : Lifecycle.reasoningEnd(\n Lifecycle.textEnd(state.lifecycle, events, `text-${event.index}`),\n events,\n `reasoning-${event.index}`,\n signature === undefined ? undefined : anthropicMetadata({ signature }),\n )\n events.push(...resultEvents)\n const reasoningSignatures = { ...state.reasoningSignatures }\n delete reasoningSignatures[event.index]\n return [{ ...state, lifecycle, tools: result.tools, reasoningSignatures }, events] satisfies StepResult\n})\n\nconst onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult => {\n const usage = mergeUsage(state.usage, mapUsage(event.usage))\n return [\n {\n ...state,\n usage,\n pendingFinish: {\n reason: {\n normalized: mapFinishReason(event.delta?.stop_reason),\n raw: event.delta?.stop_reason ?? undefined,\n },\n providerMetadata:\n event.delta?.stop_sequence === null || event.delta?.stop_sequence === undefined\n ? undefined\n : anthropicMetadata({ stopSequence: event.delta.stop_sequence }),\n },\n },\n NO_EVENTS,\n ]\n}\n\nconst onMessageStop = Effect.fn(\"AnthropicMessages.onMessageStop\")(function* (state: ParserState) {\n const result = yield* ToolStream.finishAll(ADAPTER, state.tools)\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n const finished = Lifecycle.finish(lifecycle, events, {\n reason: state.pendingFinish?.reason ?? {\n normalized: \"unknown\",\n raw: undefined,\n },\n usage: state.usage,\n providerMetadata: state.pendingFinish?.providerMetadata,\n })\n return [{ ...state, lifecycle: finished, tools: result.tools }, events] satisfies StepResult\n})\n\n// Prefix `error.type` so overloads, rate limits, and quota errors are visible\n// even when the provider message is generic or empty.\nconst providerErrorMessage = (event: AnthropicEvent): string => {\n const type = event.error?.type\n const message = event.error?.message\n if (type && message) return `${type}: ${message}`\n return message || type || \"Anthropic Messages stream error\"\n}\n\nconst onError = (event: AnthropicEvent) =>\n new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }),\n })\n\nconst step = (state: ParserState, event: AnthropicEvent) => {\n if (event.type === \"message_start\") return Effect.succeed(onMessageStart(state, event))\n if (event.type === \"content_block_start\") return Effect.succeed(onContentBlockStart(state, event))\n if (event.type === \"content_block_delta\") return onContentBlockDelta(state, event)\n if (event.type === \"content_block_stop\") return onContentBlockStop(state, event)\n if (event.type === \"message_delta\") return Effect.succeed(onMessageDelta(state, event))\n if (event.type === \"message_stop\") return onMessageStop(state)\n if (event.type === \"error\") return onError(event)\n return Effect.succeed<StepResult>([state, NO_EVENTS])\n}\n\n// =============================================================================\n// Protocol And Anthropic Route\n// =============================================================================\n/**\n * The Anthropic Messages protocol — request body construction, body schema,\n * and the streaming-event state machine shared by Anthropic-compatible and\n * Vertex-hosted Messages routes.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: AnthropicMessagesBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(AnthropicEvent),\n initial: () => ({\n tools: ToolStream.empty<number>(),\n reasoningSignatures: {},\n lifecycle: Lifecycle.initial(),\n }),\n step,\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"anthropic\",\n providerMetadataKey: \"anthropic\",\n protocol,\n endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n auth: Auth.none,\n framing,\n headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "E2F7E556908E00E264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/prompt.shared.ts"], | ||
| "sourcesContent": [ | ||
| "// Pure state machine for the prompt input.\n//\n// Handles history ring navigation and prompt text helpers. All functions are\n// pure -- they take state in and return new state out, with no side effects.\n//\n// The history ring (PromptHistoryState) stores past prompts and tracks\n// the current browse position. When the user arrows up at cursor offset 0,\n// the current draft is saved and history begins. Arrowing past the end\n// restores the draft.\nexport { displayCharAt, displaySlice, mentionTriggerIndex, slashTriggerIndex } from \"../prompt/display\"\nimport { stringWidth } from \"../util/string-width\"\nimport type { RunPrompt } from \"./types\"\n\nconst HISTORY_LIMIT = 200\n\nexport type PromptHistoryState = {\n items: RunPrompt[]\n index: number | null\n draft: string\n}\n\nexport type PromptMove = {\n state: PromptHistoryState\n text?: string\n cursor?: number\n apply: boolean\n}\n\nexport function promptCopy(prompt: RunPrompt): RunPrompt {\n return {\n text: prompt.text,\n parts: structuredClone(prompt.parts),\n ...(prompt.mode ? { mode: prompt.mode } : {}),\n ...(prompt.command ? { command: prompt.command } : {}),\n }\n}\n\nexport function promptSame(a: RunPrompt, b: RunPrompt): boolean {\n return (\n a.mode === b.mode &&\n a.text === b.text &&\n JSON.stringify(a.parts) === JSON.stringify(b.parts) &&\n JSON.stringify(a.command) === JSON.stringify(b.command)\n )\n}\n\nexport function isExitCommand(input: string): boolean {\n const text = input.trim().toLowerCase()\n return text === \"/exit\" || text === \"/quit\" || text === \":q\"\n}\n\nexport function isNewCommand(input: string): boolean {\n return input.trim().toLowerCase() === \"/new\"\n}\n\nexport function isCompactCommand(input: string): boolean {\n return input.trim().toLowerCase() === \"/compact\"\n}\n\nexport function createPromptHistory(items?: RunPrompt[]): PromptHistoryState {\n const list = (items ?? []).filter((item) => item.text.trim().length > 0).map(promptCopy)\n const next: RunPrompt[] = []\n for (const item of list) {\n if (next.length > 0 && promptSame(next[next.length - 1], item)) {\n continue\n }\n\n next.push(item)\n }\n\n return {\n items: next.slice(-HISTORY_LIMIT),\n index: null,\n draft: \"\",\n }\n}\n\nexport function pushPromptHistory(state: PromptHistoryState, prompt: RunPrompt): PromptHistoryState {\n if (!prompt.text.trim()) {\n return state\n }\n\n const next = promptCopy(prompt)\n if (state.items[state.items.length - 1] && promptSame(state.items[state.items.length - 1], next)) {\n return {\n ...state,\n index: null,\n draft: \"\",\n }\n }\n\n const items = [...state.items, next].slice(-HISTORY_LIMIT)\n return {\n ...state,\n items,\n index: null,\n draft: \"\",\n }\n}\n\nexport function movePromptHistory(state: PromptHistoryState, dir: -1 | 1, text: string, cursor: number): PromptMove {\n if (state.items.length === 0) {\n return { state, apply: false }\n }\n\n if (dir === -1 && cursor !== 0) {\n return { state, apply: false }\n }\n\n if (dir === 1 && cursor !== stringWidth(text)) {\n return { state, apply: false }\n }\n\n if (state.index === null) {\n if (dir === 1) {\n return { state, apply: false }\n }\n\n const idx = state.items.length - 1\n return {\n state: {\n ...state,\n index: idx,\n draft: text,\n },\n text: state.items[idx].text,\n cursor: 0,\n apply: true,\n }\n }\n\n const idx = state.index + dir\n if (idx < 0) {\n return { state, apply: false }\n }\n\n if (idx >= state.items.length) {\n return {\n state: {\n ...state,\n index: null,\n },\n text: state.draft,\n cursor: stringWidth(state.draft),\n apply: true,\n }\n }\n\n return {\n state: {\n ...state,\n index: idx,\n },\n text: state.items[idx].text,\n cursor: dir === -1 ? 0 : stringWidth(state.items[idx].text),\n apply: true,\n }\n}\n" | ||
| ], | ||
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| "debugId": "E3C0B15A595DEA5064756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "E190E87FA5C1CEAD64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/durable-event-manifest.ts"], | ||
| "sourcesContent": [ | ||
| "export * as DurableEventManifest from \"./durable-event-manifest.js\"\n\nimport { Event } from \"./event.js\"\nimport { Worktree } from \"./worktree.js\"\nimport { SessionEvent } from \"./session-event.js\"\n\nexport const Durable = Event.durableMap([...SessionEvent.DurableDefinitions, Worktree.Event.Resolved])\n" | ||
| ], | ||
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| "debugId": "3D58FD9843F012AF64756E2164756E21", | ||
| "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: ${status.error}`\n default:\n return status.status\n }\n}\n" | ||
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| "debugId": "1DD422768CE75DBE64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/bedrock-auth.ts"], | ||
| "sourcesContent": [ | ||
| "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n readonly region: string\n readonly accessKeyId: string\n readonly secretAccessKey: string\n readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n readonly url: string\n readonly body: string\n readonly headers: Headers.Headers\n readonly credentials: Credentials\n readonly service: string\n readonly name: string\n}) =>\n Effect.tryPromise({\n try: async () => {\n const signed = await new AwsV4Signer({\n url: input.url,\n method: \"POST\",\n headers: Object.entries(input.headers),\n body: input.body,\n region: input.credentials.region,\n accessKeyId: input.credentials.accessKeyId,\n secretAccessKey: input.credentials.secretAccessKey,\n sessionToken: input.credentials.sessionToken,\n service: input.service,\n }).sign()\n return Object.fromEntries(signed.headers.entries())\n },\n catch: (error) =>\n ProviderShared.invalidRequest(\n `${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": "7773E0A9E5FEB01664756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openai-options.ts"], | ||
| "sourcesContent": [ | ||
| "import { mergeProviderOptions, type ProviderOptions } from \"../schema/index.js\"\nimport type { OpenResponsesOptionsInput } from \"./open-responses-options.js\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\n\nexport type OpenAIOptionsInput = OpenResponsesOptionsInput\n\nexport type OpenAIProviderOptionsInput = OpenAIOptionsInput\n\nconst definedEntries = (input: Record<string, unknown>) =>\n Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n const result = Object.fromEntries(\n definedEntries({\n store: options?.store,\n reasoningEffort: options?.reasoningEffort,\n reasoningSummary: options?.reasoningSummary,\n include: options?.include,\n textVerbosity: options?.textVerbosity,\n serviceTier: options?.serviceTier,\n }),\n )\n if (Object.keys(result).length === 0) return undefined\n return result\n}\n\nexport const gpt5DefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n const id = modelID.toLowerCase()\n if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n return openAIProviderOptions({\n reasoningEffort: \"medium\",\n reasoningSummary: \"auto\",\n // GPT-5 reasoning models are configured stateless (`store: false`) by\n // `openAIDefaultOptions` below, so the only way a follow-up turn can\n // carry reasoning state is via the encrypted reasoning include. Without\n // this, callers using the default model facade get reasoning summaries\n // they cannot replay statelessly.\n include: [\"reasoning.encrypted_content\"],\n textVerbosity:\n options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n ? \"low\"\n : undefined,\n })\n}\n\nexport const openAIDefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n modelID: string,\n options: Options,\n defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n return {\n ...options,\n providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options.js\"\n" | ||
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| "debugId": "134FAB1D74B6E21E64756E2164756E21", | ||
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| { | ||
| "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 ${integration.name}`))),\n Effect.tapCause(() => Effect.sync(() => progress.stop(\"Failed to remove credential\", 1))),\n )\n outro(\"Done\")\n})\n\nconst chooseIntegration = Effect.fn(\"cli.auth.logout.integration\")(function* (\n integrations: IntegrationInfo[],\n target?: string,\n) {\n if (target) return yield* resolveIntegration(integrations, target)\n const configured = integrations.filter((integration) =>\n integration.connections.some((connection) => connection.type === \"credential\"),\n )\n if (configured.length === 0) return yield* Effect.fail(new Error(\"No stored credentials found\"))\n const id = yield* prompt<string>(() =>\n autocomplete({\n message: \"Select integration\",\n maxItems: 8,\n options: configured.map((integration) => ({\n value: integration.id,\n label: integration.name,\n hint: integration.connections\n .filter((connection) => connection.type === \"credential\")\n .map((connection) => connection.label)\n .join(\", \"),\n })),\n }),\n )\n return yield* resolveIntegration(configured, id)\n})\n" | ||
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| "debugId": "903108E0BBF5FAA364756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/image-input.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding } from \"effect\"\nimport type { ImageInput } from \"../../image.js\"\nimport { InvalidRequestReason, AIError } from \"../../schema/index.js\"\n\nconst invalid = (module: string, message: string) =>\n new AIError({\n module,\n method: \"generate\",\n reason: new InvalidRequestReason({ message }),\n })\n\nexport const dataUrl = (input: Extract<ImageInput, { readonly type: \"bytes\" }>) =>\n `data:${input.mediaType};base64,${Encoding.encodeBase64(input.data)}`\n\nexport const decodeDataUrl = (\n url: string,\n module: string,\n): Effect.Effect<{ readonly mediaType: string; readonly data: Uint8Array } | undefined, AIError> => {\n if (!url.startsWith(\"data:\")) return Effect.succeed(undefined)\n const match = /^data:([^;,]+);base64,(.*)$/s.exec(url)\n if (!match) return Effect.fail(invalid(module, \"Image data URLs must contain a MIME type and base64 data\"))\n return Effect.fromResult(Encoding.decodeBase64(match[2])).pipe(\n Effect.mapError(() => invalid(module, \"Image data URL contains invalid base64 data\")),\n Effect.map((data) => ({ mediaType: match[1], data })),\n )\n}\n\nexport const invalidImageInput = invalid\n\nexport const ImageInputs = {\n dataUrl,\n decodeDataUrl,\n invalid: invalidImageInput,\n} as const\n" | ||
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| "debugId": "E008D5C3186D3D3264756E2164756E21", | ||
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| { | ||
| "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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| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/mini.ts", "src/mini-host.ts"], | ||
| "sourcesContent": [ | ||
| "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { setTimeout } from \"node:timers/promises\"\nimport { readStdin } from \"./util/io\"\nimport { createMiniHost, INTERACTIVE_INPUT_ERROR, usingInteractiveStdin } from \"./mini-host\"\nimport { parseSessionTargetModel, resolveSessionTarget, type SessionTargetPreparation } from \"./session-target\"\nimport { Env } from \"./env\"\n\nexport type MiniCommandInput = {\n server: {\n endpoint: Endpoint\n reconnect?: (signal: AbortSignal) => Promise<Endpoint>\n }\n continue?: boolean\n session?: string\n fork?: boolean\n model?: string\n agent?: string\n prompt?: string\n replay?: boolean\n replayLimit?: number\n demo?: boolean\n tuiConfig?: MiniFrontendInput[\"tuiConfig\"]\n config?: MiniFrontendInput[\"config\"]\n paths: { home: string; state: string; log: string }\n}\n\ntype Model = MiniFrontendInput[\"model\"]\n\nclass MiniInputError extends Error {}\n\nexport async function runMini(input: MiniCommandInput) {\n try {\n validate(input)\n const result = await usingInteractiveStdin(async (terminal) => {\n const initialInput = mergeInput(process.stdin.isTTY ? undefined : await readStdin(), input.prompt)\n const frontendTask = import(\"@opencode-ai/tui/mini\")\n const directory = localDirectory()\n const connection = createMiniConnection(input.server)\n const sdk = connection.sdk\n const environment = input.server.reconnect ? Env.session() : undefined\n const requested = parseModel(input.model)\n const model = requested ? { providerID: requested.providerID, modelID: requested.id } : undefined\n const prepare = prepareTarget(input.agent)\n const resolveTarget = async (initial: OpenCodeClient, signal: AbortSignal) => {\n const resolved = await resolveMiniTarget({\n sdk: initial,\n reconnect: connection.reconnect,\n signal,\n resolve: (client) =>\n resolveSessionTarget({\n client,\n location: { directory },\n continue: input.continue,\n session: input.session,\n fork: input.fork,\n model: requested,\n agent: input.agent,\n environment,\n prepare,\n signal,\n }).catch((error) => {\n if (error instanceof Error && error.message === \"Session not found\")\n throw new MiniInputError(error.message)\n throw error\n }),\n })\n const target = resolved.value\n return {\n sdk: resolved.sdk,\n sessionID: target.session.id,\n sessionTitle: target.session.title,\n location: target.location,\n model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n variant: target.model?.variant,\n agent: target.agent,\n resume: target.resume,\n }\n }\n const create = (\n client: OpenCodeClient,\n next: {\n location: { directory: string; workspaceID?: string }\n agent: string | undefined\n model: Model\n variant: string | undefined\n },\n signal?: AbortSignal,\n ) =>\n resolveSessionTarget({\n client,\n location: { directory: next.location.directory, workspace: next.location.workspaceID },\n agent: next.agent,\n environment,\n model: next.model\n ? { providerID: next.model.providerID, id: next.model.modelID, variant: next.variant }\n : undefined,\n prepare,\n signal,\n }).then((target) => ({\n sessionID: target.session.id,\n sessionTitle: target.session.title,\n location: target.location,\n model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n variant: target.model?.variant,\n agent: target.agent,\n resume: false,\n }))\n const frontend = await frontendTask\n return frontend.runMiniFrontend({\n host: createMiniHost({ terminal, directory, paths: input.paths }),\n sdk,\n directory,\n target: resolveTarget,\n reconnect: connection.reconnect,\n createSession: create,\n agent: input.agent,\n model,\n variant: requested?.variant,\n files: [],\n initialInput,\n replay: input.replay ?? true,\n replayLimit: input.replayLimit,\n demo: input.demo,\n tuiConfig: input.tuiConfig,\n config: input.config,\n })\n })\n if (result.exitCode !== 0) process.exit(result.exitCode)\n } catch (error) {\n if (error instanceof MiniInputError || (error instanceof Error && error.message === INTERACTIVE_INPUT_ERROR))\n fail(error.message)\n throw error\n }\n}\n\n/** @internal Exported for CLI boundary tests. */\nexport function createMiniConnection(input: MiniCommandInput[\"server\"]) {\n const make = (endpoint: Endpoint) =>\n OpenCode.make({\n baseUrl: endpoint.url,\n headers: Service.headers(endpoint),\n })\n const reconnect = input.reconnect\n return {\n sdk: make(input.endpoint),\n reconnect: reconnect\n ? async (signal: AbortSignal) => {\n const endpoint = await reconnect(signal)\n return make(endpoint)\n }\n : undefined,\n }\n}\n\n/** @internal Exported for reconnect lifecycle tests. */\nexport async function resolveMiniTarget<A>(input: {\n sdk: OpenCodeClient\n reconnect?: (signal: AbortSignal) => Promise<OpenCodeClient>\n signal: AbortSignal\n resolve: (sdk: OpenCodeClient) => Promise<A>\n}) {\n let sdk = input.sdk\n while (true) {\n try {\n return { sdk, value: await input.resolve(sdk) }\n } catch (error) {\n if (!input.reconnect || !(error instanceof ClientError) || error.reason !== \"Transport\") throw error\n while (true) {\n try {\n sdk = await input.reconnect(input.signal)\n break\n } catch (resolveError) {\n if (input.signal.aborted) throw resolveError\n await setTimeout(250, undefined, { signal: input.signal })\n }\n }\n }\n }\n}\n\nexport function validateMiniTerminal() {\n if (!process.stdout.isTTY) fail(\"opencode mini requires a TTY stdout\")\n}\n\n/** @internal Exported for testing. */\nexport function mergeInput(piped: string | undefined, prompt: string | undefined) {\n if (!prompt) return piped || undefined\n if (!piped) return prompt\n return piped + \"\\n\" + prompt\n}\n\nfunction validate(input: MiniCommandInput) {\n validateMiniTerminal()\n if (input.replayLimit !== undefined && (!Number.isInteger(input.replayLimit) || input.replayLimit <= 0)) {\n fail(\"--replay-limit must be a positive integer\")\n }\n if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n}\n\nfunction localDirectory(): string {\n const root = process.env.PWD ?? process.cwd()\n try {\n process.chdir(root)\n return process.cwd()\n } catch {\n throw new MiniInputError(`Failed to change directory to ${root}`)\n }\n}\n\nfunction parseModel(value?: string) {\n try {\n return parseSessionTargetModel(value)\n } catch {\n throw new MiniInputError(\"--model must use the format provider/model[#variant]\")\n }\n}\n\nfunction prepareTarget(requestedAgent?: string): SessionTargetPreparation {\n return async (input) => ({ model: input.model, agent: requestedAgent ?? input.agent })\n}\n\nfunction fail(message: string): never {\n process.stderr.write(`\\x1b[91m\\x1b[1mError: \\x1b[0m${message}\\n`)\n process.exit(1)\n}\n", | ||
| "import type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { createModelPreferenceRepository } from \"@opencode-ai/tui/model-preference\"\nimport fs from \"node:fs\"\nimport { readFile } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { ReadStream } from \"node:tty\"\n\nexport const INTERACTIVE_INPUT_ERROR = \"opencode mini requires a controlling terminal for input\"\n\nexport type InteractiveStdin = {\n stdin: NodeJS.ReadStream\n cleanup(): void\n}\n\ntype MiniHost = MiniFrontendInput[\"host\"]\n\nfunction preferences(statePath: string): MiniHost[\"preferences\"] {\n const repository = createModelPreferenceRepository(path.join(statePath, \"model.json\"))\n return {\n async resolveVariant(model) {\n if (!model) return\n return repository.resolveVariant(model)\n },\n async saveVariant(model, variant) {\n if (!model) return\n await repository.saveVariant(model, variant).catch(() => undefined)\n },\n }\n}\n\nfunction signal(name: \"SIGINT\" | \"SIGUSR2\"): MiniHost[\"signals\"][\"sigint\"] {\n return {\n subscribe(listener) {\n let subscribed = true\n process.on(name, listener)\n return () => {\n if (!subscribed) return\n subscribed = false\n process.off(name, listener)\n }\n },\n }\n}\n\nfunction createTrace(\n logPath: string,\n diagnostics: { pid: number; cwd: string; argv: string[] },\n): MiniHost[\"diagnostics\"][\"trace\"] {\n if (!process.env.OPENCODE_DIRECT_TRACE) return\n const stamp = new Date()\n .toISOString()\n .replace(/[-:]/g, \"\")\n .replace(/\\.\\d+Z$/, \"Z\")\n const target = path.join(logPath, \"direct\", `${stamp}-${diagnostics.pid}.jsonl`)\n const text = (data: unknown) =>\n JSON.stringify(data, (_key, value) => (typeof value === \"bigint\" ? String(value) : value), 0)\n fs.mkdirSync(path.dirname(target), { recursive: true })\n fs.writeFileSync(\n path.join(logPath, \"direct\", \"latest.json\"),\n text({\n time: new Date().toISOString(),\n ...diagnostics,\n path: target,\n }) + \"\\n\",\n )\n const trace = {\n write(type: string, data?: unknown) {\n fs.appendFileSync(\n target,\n text({\n time: new Date().toISOString(),\n pid: diagnostics.pid,\n type,\n data,\n }) + \"\\n\",\n )\n },\n }\n trace.write(\"trace.start\", {\n argv: diagnostics.argv,\n cwd: diagnostics.cwd,\n path: target,\n })\n return trace\n}\n\nfunction openTerminalStdin(target: string): NodeJS.ReadStream {\n return new ReadStream(fs.openSync(target, \"r\"))\n}\n\nexport function resolveInteractiveStdin(\n stdin: NodeJS.ReadStream = process.stdin,\n open: (target: string) => NodeJS.ReadStream = openTerminalStdin,\n platform: NodeJS.Platform = process.platform,\n): InteractiveStdin {\n if (stdin.isTTY) return { stdin, cleanup() {} }\n const target = platform === \"win32\" ? \"CONIN$\" : \"/dev/tty\"\n try {\n const source = open(target)\n let cleaned = false\n return {\n stdin: source,\n cleanup() {\n if (cleaned) return\n cleaned = true\n source.destroy()\n },\n }\n } catch (error) {\n throw new Error(INTERACTIVE_INPUT_ERROR, { cause: error })\n }\n}\n\n/** @internal Exported for owner-local resource cleanup tests. */\nexport async function usingInteractiveStdin<T>(\n run: (terminal: InteractiveStdin) => Promise<T>,\n resolve: () => InteractiveStdin = resolveInteractiveStdin,\n) {\n const terminal = resolve()\n try {\n return await run(terminal)\n } finally {\n terminal.cleanup()\n }\n}\n\n/** @internal Exported for owner-local host capability tests. */\nexport function createMiniHost(input: {\n terminal: InteractiveStdin\n directory: string\n paths: { home: string; state: string; log: string }\n}): MiniHost {\n const paths = input.paths\n const diagnostics = {\n pid: process.pid,\n cwd: input.directory,\n argv: process.argv.slice(2),\n }\n return {\n terminal: { stdin: input.terminal.stdin },\n platform: process.platform,\n stdout: {\n write(value) {\n process.stdout.write(value)\n },\n },\n files: {\n readText: (url) => readFile(new URL(url), \"utf8\"),\n },\n editor: {\n async open(options) {\n const { openEditor } = await import(\"@opencode-ai/tui/editor\")\n return openEditor(options)\n },\n },\n paths: { home: paths.home },\n signals: {\n sigint: signal(\"SIGINT\"),\n sigusr2: signal(\"SIGUSR2\"),\n },\n startup: {\n showTiming: [\"1\", \"true\"].includes(process.env.OPENCODE_SHOW_TTFD?.toLowerCase() ?? \"\"),\n now: () => performance.now(),\n },\n diagnostics: {\n trace: createTrace(paths.log, diagnostics),\n },\n preferences: preferences(paths.state),\n }\n}\n" | ||
| ], | ||
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| ||
| "debugId": "0257DD1F9D23EED064756E2164756E21", | ||
| "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})\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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| "names": [] | ||
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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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| "debugId": "0937AFC94221D63364756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/worktree.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Worktree from \"./worktree.js\"\n\nimport { Schema } from \"effect\"\nimport { durable, ephemeral, inventory } from \"./event.js\"\nimport { ProjectID } from \"./project-id.js\"\nimport { AbsolutePath, optional } from \"./schema.js\"\nimport { Project } from \"./project.js\"\n\nexport const StrategyID = Schema.Trim.pipe(Schema.check(Schema.isNonEmpty()), Schema.brand(\"Worktree.StrategyID\"))\nexport type StrategyID = typeof StrategyID.Type\n\nexport const CreateInput = Schema.Struct({\n projectID: ProjectID,\n strategy: StrategyID,\n from: optional(AbsolutePath),\n directory: AbsolutePath,\n name: optional(Schema.String),\n}).annotate({ identifier: \"Worktree.CreateInput\" })\nexport interface CreateInput extends Schema.Schema.Type<typeof CreateInput> {}\n\nexport const RemoveInput = Schema.Struct({\n projectID: ProjectID,\n directory: AbsolutePath,\n force: Schema.Boolean,\n}).annotate({ identifier: \"Worktree.RemoveInput\" })\nexport interface RemoveInput extends Schema.Schema.Type<typeof RemoveInput> {}\n\nexport const Info = Schema.Struct({\n directory: AbsolutePath,\n}).annotate({ identifier: \"Worktree.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nexport const Directory = Schema.Struct({\n directory: AbsolutePath,\n strategy: optional(Schema.String),\n}).annotate({ identifier: \"Worktree.Directory\" })\nexport interface Directory extends Schema.Schema.Type<typeof Directory> {}\n\nexport const ListInput = Schema.Struct({\n projectID: ProjectID,\n}).annotate({ identifier: \"Worktree.ListInput\" })\nexport interface ListInput extends Schema.Schema.Type<typeof ListInput> {}\n\nexport const List = Schema.Array(Directory).annotate({ identifier: \"Worktree.List\" })\nexport type List = typeof List.Type\n\nconst Updated = ephemeral({\n type: \"worktree.updated\",\n schema: { projectID: Project.ID },\n})\n\nconst Resolved = durable({\n type: \"worktree.resolved\",\n durable: { aggregate: \"projectID\", version: 1 },\n schema: {\n projectID: Project.ID,\n directory: AbsolutePath,\n previous: Project.ID,\n },\n})\n\nexport const Event = { Updated, Resolved, Definitions: inventory(Updated, Resolved) }\n\nexport function adopt(\n session: { readonly projectID: string; readonly directory: string },\n event: { readonly projectID: string; readonly directory: string; readonly previous: string },\n) {\n if (session.projectID !== event.previous && session.projectID !== Project.ID.global) return\n if (session.projectID === event.projectID) return\n const inside =\n session.directory === event.directory ||\n session.directory.startsWith(event.directory + \"/\") ||\n session.directory.startsWith(event.directory + \"\\\\\")\n if (!inside) return\n return {\n projectID: event.projectID,\n subpath:\n session.directory === event.directory\n ? undefined\n : session.directory.slice(event.directory.length + 1).replaceAll(\"\\\\\", \"/\"),\n }\n}\n" | ||
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Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-images.ts", "../ai/src/providers/openai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest, HttpClientResponse } from \"effect/unstable/http\"\nimport {\n ImageModel,\n GeneratedImage,\n ImageResponse,\n type ImageInput,\n type ImageRequestFor,\n type ImageRoute,\n} from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\n\nconst ADAPTER = \"openai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type OpenAIImageString<Known extends string> = Known | (string & {})\n\nexport type OpenAIImageOptions = {\n readonly mask?: ImageInput\n readonly n?: number\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly moderation?: OpenAIImageString<\"auto\" | \"low\">\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly outputCompression?: number\n} & Record<string, unknown>\n\nexport type OpenAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst OpenAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: Schema.optional(Schema.String),\n url: Schema.optional(Schema.String),\n revised_prompt: Schema.optional(Schema.String),\n }),\n ),\n output_format: Schema.optional(Schema.String),\n usage: Schema.optional(\n Schema.Struct({\n input_tokens: Schema.optional(Schema.Number),\n output_tokens: Schema.optional(Schema.Number),\n total_tokens: Schema.optional(Schema.Number),\n input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n }),\n ),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: OpenAIImageOptions | undefined) => {\n if (!options) return undefined\n const { mask: _, outputFormat, outputCompression, ...native } = options\n return {\n output_format: outputFormat,\n output_compression: outputCompression,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<OpenAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"OpenAIImages.generate\")(function* (request: ImageRequestFor<OpenAIImageOptions>, execute) {\n const mask = request.options?.mask\n if (mask !== undefined && (request.images?.length ?? 0) === 0)\n return yield* ImageInputs.invalid(ADAPTER, \"An OpenAI image mask requires at least one input image\")\n const http = mergeHttpOptions(request.model.http, request.http)\n const sourceImages = request.images ?? []\n const multipartImages = yield* Effect.forEach(sourceImages, (image) => {\n if (image.type === \"bytes\") return Effect.succeed({ data: image.data, mediaType: image.mediaType })\n if (image.type === \"url\") return ImageInputs.decodeDataUrl(image.url, ADAPTER)\n return Effect.succeed(undefined)\n })\n const multipartMask =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { data: mask.data, mediaType: mask.mediaType }\n : mask.type === \"url\"\n ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)\n : undefined\n const useMultipart =\n sourceImages.length > 0 &&\n multipartImages.every((image) => image !== undefined) &&\n (mask === undefined || multipartMask !== undefined)\n const path = sourceImages.length === 0 ? PATH : EDIT_PATH\n const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${path}`, http?.query)\n\n if (useMultipart) {\n const form = new FormData()\n form.append(\"model\", request.model.id)\n form.append(\"prompt\", request.prompt)\n Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {\n if ([\"model\", \"prompt\", \"image\", \"image[]\", \"images\", \"mask\"].includes(key)) return\n form.append(key, typeof value === \"string\" ? value : ProviderShared.encodeJson(value))\n })\n multipartImages.forEach((image, index) => {\n if (image === undefined) return\n form.append(\"image[]\", imageBlob(image.data, image.mediaType), `image-${index}`)\n })\n if (multipartMask !== undefined)\n form.append(\"mask\", imageBlob(multipartMask.data, multipartMask.mediaType), \"mask\")\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: \"[multipart/form-data]\",\n headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), \"content-type\"),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }\n\n const references = sourceImages.map((image) => {\n if (image.type === \"bytes\") return { image_url: ImageInputs.dataUrl(image) }\n if (image.type === \"url\") return { image_url: image.url }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (references.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const maskReference =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { image_url: ImageInputs.dataUrl(mask) }\n : mask.type === \"url\"\n ? { image_url: mask.url }\n : mask.type === \"file-id\"\n ? { file_id: mask.id }\n : undefined\n if (mask !== undefined && maskReference === undefined)\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n images: references.length === 0 ? undefined : references,\n mask: maskReference,\n },\n nativeOptions(request.options),\n http?.body,\n ) as OpenAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }),\n }\n return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: \"openai\", route, http: input.http })\n}\n\nconst parseResponse = Effect.fn(\"OpenAIImages.parseResponse\")(function* (\n response: HttpClientResponse.HttpClientResponse,\n options: OpenAIImageOptions | undefined,\n overlay: Record<string, unknown> | undefined,\n) {\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the OpenAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"OpenAI Images returned an invalid response\")),\n )\n const requestBody = mergeJsonRecords(nativeOptions(options), overlay)\n const format =\n decoded.output_format ?? (typeof requestBody?.output_format === \"string\" ? requestBody.output_format : \"png\")\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType: `image/${format}`,\n data,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType: `image/${format}`,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"OpenAI Images returned no images\")\n return new ImageResponse({\n images,\n usage:\n decoded.usage === undefined\n ? undefined\n : new Usage({\n inputTokens: decoded.usage.input_tokens,\n outputTokens: decoded.usage.output_tokens,\n totalTokens: decoded.usage.total_tokens,\n providerMetadata: { openai: decoded.usage },\n }),\n providerMetadata: { openai: { outputFormat: format } },\n })\n})\n\nconst imageBlob = (data: Uint8Array, mediaType: string) => {\n const buffer = new ArrayBuffer(data.byteLength)\n new Uint8Array(buffer).set(data)\n return new Blob([buffer], { type: mediaType })\n}\n\nexport const OpenAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images.js\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options.js\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images.js\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly queryParams?: Record<string, string>\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface ImageGenerationOptions {\n readonly action?: OpenAIImageString<\"auto\" | \"generate\" | \"edit\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly inputFidelity?: OpenAIImageString<\"low\" | \"high\">\n readonly outputCompression?: number\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly partialImages?: number\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n ToolDefinition.make({\n name: \"image_generation\",\n description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n native: {\n openai: {\n type: \"image_generation\",\n action: options.action,\n background: options.background,\n input_fidelity: options.inputFidelity,\n output_compression: options.outputCompression,\n output_format: options.outputFormat,\n partial_images: options.partialImages,\n quality: options.quality,\n size: options.size,\n },\n },\n })\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly organization?: string\n readonly project?: string\n readonly queryParams?: Readonly<Record<string, string>>\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input\n return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n route.with({\n auth: auth(input),\n endpoint: { baseURL: input.baseURL, query: input.queryParams },\n })\n\nexport const configure = (input: Config = {}) => {\n const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n const chatRoute = configuredRoute(OpenAIChat.route, input)\n const modelDefaults = defaults(input)\n const responses = (id: string | ModelID) =>\n responsesRoute\n .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n .model<OpenAIProviderOptionsInput>({ id })\n const chat = (id: string | ModelID) =>\n chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })\n const image = (modelID: string | ModelID) =>\n OpenAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL,\n headers: input.headers,\n http: mergeHttpOptions(\n input.http === undefined ? undefined : HttpOptions.make(input.http),\n input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),\n ),\n })\n\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n const headers = {\n ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n ...settings.headers,\n }\n return {\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: Object.keys(headers).length === 0 ? undefined : headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n }\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n return configure(config(settings)).responses(modelID)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
| ], | ||
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| ||
| "debugId": "09FDF879940EE07064756E2164756E21", | ||
| "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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| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/theme/color.ts", "../tui/src/theme/resolve.ts"], | ||
| "sourcesContent": [ | ||
| "import { RGBA } from \"@opentui/core\"\n\nexport function ansiToRgba(code: number): RGBA {\n if (code < 16) {\n const ansiColors = [\n \"#000000\",\n \"#800000\",\n \"#008000\",\n \"#808000\",\n \"#000080\",\n \"#800080\",\n \"#008080\",\n \"#c0c0c0\",\n \"#808080\",\n \"#ff0000\",\n \"#00ff00\",\n \"#ffff00\",\n \"#0000ff\",\n \"#ff00ff\",\n \"#00ffff\",\n \"#ffffff\",\n ]\n return RGBA.fromHex(ansiColors[code] ?? \"#000000\")\n }\n\n if (code < 232) {\n const index = code - 16\n const b = index % 6\n const g = Math.floor(index / 6) % 6\n const r = Math.floor(index / 36)\n const val = (x: number) => (x === 0 ? 0 : x * 40 + 55)\n return RGBA.fromInts(val(r), val(g), val(b))\n }\n\n if (code < 256) {\n const gray = (code - 232) * 10 + 8\n return RGBA.fromInts(gray, gray, gray)\n }\n\n return RGBA.fromInts(0, 0, 0)\n}\n\nexport function tint(base: RGBA, overlay: RGBA, alpha: number): RGBA {\n const r = base.r + (overlay.r - base.r) * alpha\n const g = base.g + (overlay.g - base.g) * alpha\n const b = base.b + (overlay.b - base.b) * alpha\n return RGBA.fromInts(Math.round(r * 255), Math.round(g * 255), Math.round(b * 255))\n}\n", | ||
| "import { RGBA } from \"@opentui/core\"\nimport { ansiToRgba } from \"./color\"\nimport type { ColorValue, Theme, ThemeColor, ThemeV1Json } from \"./v1\"\n\nexport function resolveThemeColors(\n theme: ThemeV1Json,\n mode: \"dark\" | \"light\",\n resolveAnsi: (code: number) => RGBA = ansiToRgba,\n) {\n const defs = theme.defs ?? {}\n function resolveColor(color: ColorValue, chain: string[] = []): RGBA {\n if (color instanceof RGBA) return color\n if (typeof color === \"string\") {\n if (color === \"transparent\" || color === \"none\") return RGBA.fromInts(0, 0, 0, 0)\n\n if (color.startsWith(\"#\")) return RGBA.fromHex(color)\n\n if (chain.includes(color)) {\n throw new Error(`Circular color reference: ${[...chain, color].join(\" -> \")}`)\n }\n\n const next = defs[color] ?? theme.theme[color as ThemeColor]\n if (next === undefined) {\n throw new Error(`Color reference \"${color}\" not found in defs or theme`)\n }\n return resolveColor(next, [...chain, color])\n }\n if (typeof color === \"number\") return resolveAnsi(color)\n return resolveColor(color[mode], chain)\n }\n\n const resolved = Object.fromEntries(\n Object.entries(theme.theme)\n .filter(([key]) => key !== \"selectedListItemText\" && key !== \"backgroundMenu\" && key !== \"thinkingOpacity\")\n .map(([key, value]) => [key, resolveColor(value as ColorValue)]),\n ) as Partial<Record<ThemeColor, RGBA>>\n\n const hasSelectedListItemText = theme.theme.selectedListItemText !== undefined\n return {\n theme: {\n ...(resolved as Record<ThemeColor, RGBA>),\n selectedListItemText: hasSelectedListItemText\n ? resolveColor(theme.theme.selectedListItemText!)\n : resolved.background!,\n backgroundMenu:\n theme.theme.backgroundMenu === undefined\n ? resolved.backgroundElement!\n : resolveColor(theme.theme.backgroundMenu),\n } satisfies Omit<Theme, \"_hasSelectedListItemText\" | \"thinkingOpacity\">,\n hasSelectedListItemText,\n thinkingOpacity: theme.theme.thinkingOpacity ?? 0.6,\n }\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/bedrock-event-stream.ts", "../ai/src/protocols/utils/bedrock-cache.ts", "../ai/src/protocols/utils/bedrock-media.ts", "../ai/src/protocols/bedrock-converse.ts", "../ai/src/providers/amazon-bedrock.ts"], | ||
| "sourcesContent": [ | ||
| "import { EventStreamCodec } from \"@smithy/eventstream-codec\"\nimport { fromUtf8, toUtf8 } from \"@smithy/util-utf8\"\nimport { Effect, Stream } from \"effect\"\nimport { Framing } from \"../route/framing.js\"\nimport { ProviderShared } from \"./shared.js\"\n\n// Bedrock streams responses using the AWS event stream binary protocol — each\n// frame is `[length:4][headers-length:4][prelude-crc:4][headers][payload][crc:4]`.\n// We use `@smithy/eventstream-codec` to validate framing and CRCs, then\n// reconstruct the JSON wrapping by `:event-type` so the chunk schema can match.\nconst eventCodec = new EventStreamCodec(toUtf8, fromUtf8)\nconst utf8 = new TextDecoder()\n\n// Cursor-tracking buffer state. Bytes accumulate in `buffer`; `offset` is the\n// read position. Reading by `subarray` is zero-copy. We only allocate a fresh\n// buffer when a new network chunk arrives and we need to append.\ninterface FrameBufferState {\n readonly buffer: Uint8Array\n readonly offset: number\n}\n\nconst initialFrameBuffer: FrameBufferState = { buffer: new Uint8Array(0), offset: 0 }\n\nconst appendChunk = (state: FrameBufferState, chunk: Uint8Array): FrameBufferState => {\n const remaining = state.buffer.length - state.offset\n // Compact: drop the consumed prefix and append the new chunk in one alloc.\n // This bounds buffer growth to at most one network chunk past the live\n // window, regardless of stream length.\n const next = new Uint8Array(remaining + chunk.length)\n next.set(state.buffer.subarray(state.offset), 0)\n next.set(chunk, remaining)\n return { buffer: next, offset: 0 }\n}\n\nconst consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8Array) =>\n Effect.gen(function* () {\n let cursor = appendChunk(state, chunk)\n const out: object[] = []\n while (cursor.buffer.length - cursor.offset >= 4) {\n const view = cursor.buffer.subarray(cursor.offset)\n const totalLength = new DataView(view.buffer, view.byteOffset, view.byteLength).getUint32(0, false)\n if (view.length < totalLength) break\n\n const decoded = yield* Effect.try({\n try: () => eventCodec.decode(view.subarray(0, totalLength)),\n catch: (error) =>\n ProviderShared.eventError(\n route,\n `Failed to decode Bedrock Converse event-stream frame: ${\n error instanceof Error ? error.message : String(error)\n }`,\n ),\n })\n cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }\n\n const messageType = decoded.headers[\":message-type\"]?.value\n if (messageType === \"error\") {\n const code = decoded.headers[\":error-code\"]?.value\n const message = decoded.headers[\":error-message\"]?.value\n return yield* ProviderShared.eventError(\n route,\n [code, message].filter((value): value is string => typeof value === \"string\").join(\": \") ||\n \"Bedrock Converse event-stream error\",\n )\n }\n const eventType =\n messageType === \"event\"\n ? decoded.headers[\":event-type\"]?.value\n : messageType === \"exception\"\n ? decoded.headers[\":exception-type\"]?.value\n : undefined\n if (typeof eventType !== \"string\") continue\n const payload = utf8.decode(decoded.body)\n if (!payload) continue\n // The AWS event stream pads short payloads with a `p` field. Drop it\n // before handing the object to the chunk schema. JSON decode goes\n // through the shared Schema-driven codec to satisfy the package rule\n // against ad-hoc `JSON.parse` calls.\n const parsed = (yield* ProviderShared.parseJson(\n route,\n payload,\n \"Failed to parse Bedrock Converse event-stream payload\",\n )) as Record<string, unknown>\n delete parsed.p\n out.push({ [eventType]: parsed })\n }\n return [cursor, out] as const\n })\n\n/**\n * AWS event-stream framing for Bedrock Converse. Each frame is decoded by\n * `@smithy/eventstream-codec` (length + header + payload + CRC) and rewrapped\n * under its `:event-type` header so the chunk schema can match the JSON\n * payload directly.\n */\nexport const framing = (route: string): Framing.Definition<object> => ({\n id: \"aws-event-stream\",\n frame: (bytes) => bytes.pipe(Stream.mapAccumEffect(() => initialFrameBuffer, consumeFrames(route))),\n})\n\nexport * as BedrockEventStream from \"./bedrock-event-stream.js\"\n", | ||
| "import { Schema } from \"effect\"\nimport type { CacheHint } from \"../../schema/index.js\"\nimport { newBreakpoints, ttlBucket, type Breakpoints } from \"./cache.js\"\n\n// Bedrock cache markers are positional: emit a `cachePoint` block immediately\n// after the content the caller wants treated as a cacheable prefix. Bedrock\n// accepts optional `ttl: \"5m\" | \"1h\"` on cachePoint.\nexport const CachePointBlock = Schema.Struct({\n cachePoint: Schema.Struct({\n type: Schema.tag(\"default\"),\n ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n }),\n})\nexport type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>\n\n// Callers pass a shared counter through every `block()` call site so the\n// four-breakpoint budget is respected across `system`, `messages`, and `tools`.\nexport const BEDROCK_BREAKPOINT_CAP = 4\n\nexport type { Breakpoints } from \"./cache.js\"\nexport const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)\n\nconst DEFAULT_5M: CachePointBlock = { cachePoint: { type: \"default\" } }\nconst DEFAULT_1H: CachePointBlock = { cachePoint: { type: \"default\", ttl: \"1h\" } }\n\nexport const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {\n if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n if (breakpoints.remaining <= 0) {\n breakpoints.dropped += 1\n return undefined\n }\n breakpoints.remaining -= 1\n return ttlBucket(cache.ttlSeconds) === \"1h\" ? DEFAULT_1H : DEFAULT_5M\n}\n\nexport * as BedrockCache from \"./bedrock-cache.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport type { MediaPart } from \"../../schema/index.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n// Bedrock Converse accepts image `format` as the file extension and\n// `source.bytes` as base64 in the JSON wire format.\nexport const ImageFormat = Schema.Literals([\"png\", \"jpeg\", \"gif\", \"webp\"])\nexport type ImageFormat = Schema.Schema.Type<typeof ImageFormat>\n\nexport const ImageBlock = Schema.Struct({\n image: Schema.Struct({\n format: ImageFormat,\n source: Schema.Struct({ bytes: Schema.String }),\n }),\n})\nexport type ImageBlock = Schema.Schema.Type<typeof ImageBlock>\n\n// Bedrock document blocks require a user-facing name so the model can refer to\n// the uploaded document.\nexport const DocumentFormat = Schema.Literals([\"pdf\", \"csv\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"html\", \"txt\", \"md\"])\nexport type DocumentFormat = Schema.Schema.Type<typeof DocumentFormat>\n\nexport const DocumentBlock = Schema.Struct({\n document: Schema.Struct({\n format: DocumentFormat,\n name: Schema.String,\n source: Schema.Struct({ bytes: Schema.String }),\n }),\n})\nexport type DocumentBlock = Schema.Schema.Type<typeof DocumentBlock>\n\nconst IMAGE_FORMATS = {\n \"image/png\": \"png\",\n \"image/jpeg\": \"jpeg\",\n \"image/jpg\": \"jpeg\",\n \"image/gif\": \"gif\",\n \"image/webp\": \"webp\",\n} as const satisfies Record<string, ImageFormat>\n\nconst DOCUMENT_FORMATS = {\n \"application/pdf\": \"pdf\",\n \"text/csv\": \"csv\",\n \"application/msword\": \"doc\",\n \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\": \"docx\",\n \"application/vnd.ms-excel\": \"xls\",\n \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\": \"xlsx\",\n \"text/html\": \"html\",\n \"text/plain\": \"txt\",\n \"text/markdown\": \"md\",\n} as const satisfies Record<string, DocumentFormat>\n\nconst documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({\n document: {\n format,\n name,\n source: { bytes },\n },\n})\n\n// Route by MIME. Known image/document formats lower into a typed block; anything\n// else fails with a clear error instead of silently degrading to a malformed\n// document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)\n// get an image-specific error so the caller knows it's a format-support issue,\n// not a kind-detection issue.\nexport const lower = Effect.fn(\"BedrockMedia.lower\")(function* (part: MediaPart) {\n const mime = part.mediaType.toLowerCase()\n const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]\n if (imageFormat) {\n const media = ProviderShared.normalizeMedia(part)\n return { image: { format: imageFormat, source: { bytes: media.base64 } } } satisfies ImageBlock\n }\n if (mime.startsWith(\"image/\"))\n return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)\n const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]\n if (documentFormat) {\n if (!part.filename)\n return yield* ProviderShared.invalidRequest(\"Bedrock Converse document media requires a filename\")\n const media = ProviderShared.normalizeMedia(part)\n return documentBlock(part.filename, documentFormat, media.base64)\n }\n return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)\n})\n\nexport * as BedrockMedia from \"./bedrock-media.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n Usage,\n type CacheHint,\n type FinishReason,\n type FinishReasonDetails,\n type JsonSchema,\n type LLMRequest,\n type LanguageModelToolSchemaCompatibility,\n type ProviderMetadata,\n type ReasoningPart,\n type ToolCallPart,\n type ToolDefinition,\n type ToolResultPart,\n} from \"../schema/index.js\"\nimport { BedrockEventStream } from \"./bedrock-event-stream.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { BedrockAuth } from \"./utils/bedrock-auth.js\"\nimport { BedrockCache } from \"./utils/bedrock-cache.js\"\nimport { BedrockMedia } from \"./utils/bedrock-media.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"bedrock-converse\"\n\nexport type { Credentials as BedrockCredentials } from \"./utils/bedrock-auth.js\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst BedrockTextBlock = Schema.Struct({\n text: Schema.String,\n})\ntype BedrockTextBlock = Schema.Schema.Type<typeof BedrockTextBlock>\n\nconst BedrockToolUseBlock = Schema.Struct({\n toolUse: Schema.Struct({\n toolUseId: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n }),\n})\ntype BedrockToolUseBlock = Schema.Schema.Type<typeof BedrockToolUseBlock>\n\nconst BedrockToolResultContentItem = Schema.Union([\n Schema.Struct({ text: Schema.String }),\n Schema.Struct({ json: Schema.Unknown }),\n BedrockMedia.ImageBlock,\n BedrockMedia.DocumentBlock,\n])\n\nconst BedrockToolResultBlock = Schema.Struct({\n toolResult: Schema.Struct({\n toolUseId: Schema.String,\n content: Schema.Array(BedrockToolResultContentItem),\n status: Schema.optional(Schema.Literals([\"success\", \"error\"])),\n }),\n})\ntype BedrockToolResultBlock = Schema.Schema.Type<typeof BedrockToolResultBlock>\n\nconst BedrockReasoningBlock = Schema.Struct({\n reasoningContent: Schema.Union([\n Schema.Struct({\n reasoningText: Schema.Struct({\n text: Schema.String,\n signature: Schema.optional(Schema.String),\n }),\n }),\n Schema.Struct({ redactedContent: Schema.String }),\n ]),\n})\n\nconst BedrockUserBlock = Schema.Union([\n BedrockTextBlock,\n BedrockMedia.ImageBlock,\n BedrockMedia.DocumentBlock,\n BedrockToolResultBlock,\n BedrockCache.CachePointBlock,\n])\ntype BedrockUserBlock = Schema.Schema.Type<typeof BedrockUserBlock>\n\nconst BedrockAssistantBlock = Schema.Union([\n BedrockTextBlock,\n BedrockReasoningBlock,\n BedrockToolUseBlock,\n BedrockCache.CachePointBlock,\n])\ntype BedrockAssistantBlock = Schema.Schema.Type<typeof BedrockAssistantBlock>\n\nconst BedrockMessage = Schema.Union([\n Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(BedrockUserBlock) }),\n Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(BedrockAssistantBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype BedrockMessage = Schema.Schema.Type<typeof BedrockMessage>\n\nconst BedrockSystemBlock = Schema.Union([BedrockTextBlock, BedrockCache.CachePointBlock])\ntype BedrockSystemBlock = Schema.Schema.Type<typeof BedrockSystemBlock>\n\nconst BedrockToolSpec = Schema.Struct({\n toolSpec: Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n inputSchema: Schema.Struct({\n json: JsonObject,\n }),\n }),\n})\ntype BedrockToolSpec = Schema.Schema.Type<typeof BedrockToolSpec>\n\nconst BedrockTool = Schema.Union([BedrockToolSpec, BedrockCache.CachePointBlock])\ntype BedrockTool = Schema.Schema.Type<typeof BedrockTool>\n\nconst BedrockToolChoice = Schema.Union([\n Schema.Struct({ auto: Schema.Struct({}) }),\n Schema.Struct({ any: Schema.Struct({}) }),\n Schema.Struct({ tool: Schema.Struct({ name: Schema.String }) }),\n])\n\nconst BedrockBodyFields = {\n modelId: Schema.String,\n messages: Schema.Array(BedrockMessage),\n system: optionalArray(BedrockSystemBlock),\n inferenceConfig: Schema.optional(\n Schema.Struct({\n maxTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n }),\n ),\n toolConfig: Schema.optional(\n Schema.Struct({\n tools: Schema.Array(BedrockTool),\n toolChoice: Schema.optional(BedrockToolChoice),\n }),\n ),\n additionalModelRequestFields: Schema.optional(JsonObject),\n}\nconst BedrockConverseBody = Schema.Struct(BedrockBodyFields)\nexport type BedrockConverseBody = Schema.Schema.Type<typeof BedrockConverseBody>\n\nconst BedrockUsageSchema = Schema.Struct({\n inputTokens: Schema.optional(Schema.Number),\n outputTokens: Schema.optional(Schema.Number),\n totalTokens: Schema.optional(Schema.Number),\n cacheReadInputTokens: Schema.optional(Schema.Number),\n cacheWriteInputTokens: Schema.optional(Schema.Number),\n})\ntype BedrockUsageSchema = Schema.Schema.Type<typeof BedrockUsageSchema>\n\nconst BedrockStreamException = Schema.Struct({\n message: Schema.optional(Schema.String),\n originalMessage: Schema.optional(Schema.String),\n originalStatusCode: Schema.optional(Schema.Number),\n})\n\n// Streaming event shape — the AWS event stream wraps each JSON payload by its\n// `:event-type` header (e.g. `messageStart`, `contentBlockDelta`). We\n// reconstruct that wrapping in `decodeFrames` below so the event schema can\n// stay a plain discriminated record.\nconst BedrockEvent = Schema.Struct({\n messageStart: Schema.optional(Schema.Struct({ role: Schema.String })),\n contentBlockStart: Schema.optional(\n Schema.Struct({\n contentBlockIndex: Schema.Number,\n start: Schema.optional(\n Schema.Struct({\n toolUse: Schema.optional(Schema.Struct({ toolUseId: Schema.String, name: Schema.String })),\n }),\n ),\n }),\n ),\n contentBlockDelta: Schema.optional(\n Schema.Struct({\n contentBlockIndex: Schema.Number,\n delta: Schema.optional(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n toolUse: Schema.optional(Schema.Struct({ input: Schema.String })),\n reasoningContent: Schema.optional(\n Schema.Struct({\n text: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n // Blob fields in Bedrock's JSON event stream are base64 strings.\n redactedContent: Schema.optional(Schema.String),\n // Vercel's Bedrock provider exposes the same delta under\n // Anthropic's shorter `data` spelling.\n data: Schema.optional(Schema.String),\n }),\n ),\n }),\n ),\n }),\n ),\n contentBlockStop: Schema.optional(Schema.Struct({ contentBlockIndex: Schema.Number })),\n messageStop: Schema.optional(\n Schema.Struct({\n stopReason: Schema.String,\n additionalModelResponseFields: Schema.optional(Schema.Unknown),\n }),\n ),\n metadata: Schema.optional(\n Schema.Struct({\n usage: Schema.optional(BedrockUsageSchema),\n metrics: Schema.optional(Schema.Unknown),\n }),\n ),\n internalServerException: Schema.optional(BedrockStreamException),\n modelStreamErrorException: Schema.optional(BedrockStreamException),\n validationException: Schema.optional(BedrockStreamException),\n throttlingException: Schema.optional(BedrockStreamException),\n serviceUnavailableException: Schema.optional(BedrockStreamException),\n})\ntype BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerToolSpec = (tool: ToolDefinition, inputSchema: JsonSchema): BedrockToolSpec => ({\n toolSpec: {\n name: tool.name,\n description: tool.description,\n inputSchema: { json: inputSchema },\n },\n})\n\nconst lowerTools = (\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n breakpoints: BedrockCache.Breakpoints,\n tools: ReadonlyArray<ToolDefinition>,\n): BedrockTool[] => {\n const result: BedrockTool[] = []\n for (const tool of tools) {\n result.push(lowerToolSpec(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, compatibility)))\n const cachePoint = BedrockCache.block(breakpoints, tool.cache)\n if (cachePoint) result.push(cachePoint)\n }\n return result\n}\n\nconst textWithCache = (\n breakpoints: BedrockCache.Breakpoints,\n text: string,\n cache: CacheHint | undefined,\n): Array<BedrockTextBlock | BedrockCache.CachePointBlock> => {\n const cachePoint = BedrockCache.block(breakpoints, cache)\n return cachePoint ? [{ text }, cachePoint] : [{ text }]\n}\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Bedrock Converse\", toolChoice, {\n auto: () => ({ auto: {} }) as const,\n none: () => undefined,\n required: () => ({ any: {} }) as const,\n tool: (name) => ({ tool: { name } }) as const,\n })\n\nconst bedrockMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ bedrock: metadata })\n\nconst reasoningSignature = (part: ReasoningPart) => {\n const bedrock = part.providerMetadata?.bedrock\n return (\n part.encrypted ??\n (ProviderShared.isRecord(bedrock) && typeof bedrock.signature === \"string\" ? bedrock.signature : undefined)\n )\n}\n\nconst reasoningRedactedData = (part: ReasoningPart) => {\n const bedrock = part.providerMetadata?.bedrock\n return ProviderShared.isRecord(bedrock) && typeof bedrock.redactedData === \"string\" ? bedrock.redactedData : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart): BedrockToolUseBlock => ({\n toolUse: {\n toolUseId: part.id,\n name: part.name,\n input: part.input,\n },\n})\n\nconst lowerToolResultContent = Effect.fn(\"BedrockConverse.lowerToolResultContent\")(function* (part: ToolResultPart) {\n if (part.result.type === \"text\" || part.result.type === \"error\")\n return [{ text: ProviderShared.toolResultText(part) }]\n if (part.result.type === \"json\") return [{ json: part.result.value }]\n\n const content: Array<Schema.Schema.Type<typeof BedrockToolResultContentItem>> = []\n for (const item of part.result.value) {\n if (item.type === \"text\") {\n content.push({ text: item.text })\n continue\n }\n const media = yield* BedrockMedia.lower({\n type: \"media\",\n mediaType: item.mime,\n data: item.uri,\n filename: item.name,\n })\n content.push(media)\n }\n return content\n})\n\nconst lowerToolResult = Effect.fn(\"BedrockConverse.lowerToolResult\")(function* (part: ToolResultPart) {\n return {\n toolResult: {\n toolUseId: part.id,\n content: yield* lowerToolResultContent(part),\n status: part.result.type === \"error\" ? \"error\" : \"success\",\n },\n } satisfies BedrockToolResultBlock\n})\n\nconst lowerMessages = Effect.fn(\"BedrockConverse.lowerMessages\")(function* (\n request: LLMRequest,\n breakpoints: BedrockCache.Breakpoints,\n) {\n const messages: BedrockMessage[] = []\n\n for (const message of request.messages) {\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Bedrock Converse\", message)\n const content = textWithCache(breakpoints, part.text, part.cache)\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"user\") {\n const content: BedrockUserBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"media\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"user\", [\"text\", \"media\"])\n if (part.type === \"text\") {\n content.push(...textWithCache(breakpoints, part.text, part.cache))\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* BedrockMedia.lower(part))\n continue\n }\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"assistant\") {\n const content: BedrockAssistantBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"assistant\", [\n \"text\",\n \"reasoning\",\n \"tool-call\",\n ])\n if (part.type === \"text\") {\n content.push(...textWithCache(breakpoints, part.text, part.cache))\n continue\n }\n if (part.type === \"reasoning\") {\n const signature = reasoningSignature(part)\n const redactedData = reasoningRedactedData(part)\n if (signature === undefined && redactedData !== undefined) {\n content.push({ reasoningContent: { redactedContent: redactedData } })\n continue\n }\n content.push({ reasoningContent: { reasoningText: { text: part.text, signature } } })\n continue\n }\n if (part.type === \"tool-call\") {\n content.push(lowerToolCall(part))\n continue\n }\n }\n messages.push({ role: \"assistant\", content })\n continue\n }\n\n const content: BedrockUserBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Bedrock Converse\", \"tool\", [\"tool-result\"])\n content.push(yield* lowerToolResult(part))\n const cachePoint = BedrockCache.block(breakpoints, part.cache)\n if (cachePoint) content.push(cachePoint)\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n }\n\n return messages\n})\n\n// System prompts share the cache-point convention: emit the text block, then\n// optionally a positional `cachePoint` marker.\nconst lowerSystem = (\n breakpoints: BedrockCache.Breakpoints,\n system: ReadonlyArray<LLMRequest[\"system\"][number]>,\n): BedrockSystemBlock[] => system.flatMap((part) => textWithCache(breakpoints, part.text, part.cache))\n\nconst fromRequest = Effect.fn(\"BedrockConverse.fromRequest\")(function* (request: LLMRequest) {\n const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined\n const generation = request.generation\n // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in\n // tools → system → messages order to favour the highest-impact prefixes.\n const breakpoints = BedrockCache.breakpoints()\n const toolConfig =\n request.tools.length > 0\n ? {\n tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools),\n // Converse has no native \"none\". Keep definitions stable for prompt\n // caching and omit only the unsupported choice.\n toolChoice,\n }\n : undefined\n const system = request.system.length === 0 ? undefined : lowerSystem(breakpoints, request.system)\n const messages = yield* lowerMessages(request, breakpoints)\n if (breakpoints.dropped > 0) {\n yield* Effect.logWarning(\n `Bedrock Converse: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${BedrockCache.BEDROCK_BREAKPOINT_CAP} per request.`,\n )\n }\n return {\n modelId: request.model.id,\n messages,\n system,\n inferenceConfig:\n generation?.maxTokens === undefined &&\n generation?.temperature === undefined &&\n generation?.topP === undefined &&\n (generation?.stop === undefined || generation.stop.length === 0)\n ? undefined\n : {\n maxTokens: generation?.maxTokens,\n temperature: generation?.temperature,\n topP: generation?.topP,\n stopSequences: generation?.stop,\n },\n toolConfig,\n // Converse's base inferenceConfig has no topK; Anthropic/Nova accept it\n // as a model-specific field, so it goes through additionalModelRequestFields.\n additionalModelRequestFields: generation?.topK === undefined ? undefined : { top_k: generation.topK },\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string): FinishReason => {\n if (reason === \"end_turn\" || reason === \"stop_sequence\") return \"stop\"\n if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n if (reason === \"tool_use\") return \"tool-calls\"\n if (reason === \"content_filtered\" || reason === \"guardrail_intervened\") return \"content-filter\"\n if (reason === \"malformed_model_output\" || reason === \"malformed_tool_use\") return \"error\"\n return \"unknown\"\n}\n\n// AWS reports inputTokens separately from cache reads and writes.\n// Bedrock does not break reasoning out of outputTokens for current models.\nconst mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {\n if (!usage) return undefined\n const inputTokens = ProviderShared.sumTokens(\n usage.inputTokens,\n usage.cacheReadInputTokens,\n usage.cacheWriteInputTokens,\n )\n return new Usage({\n inputTokens,\n outputTokens: usage.outputTokens,\n nonCachedInputTokens: usage.inputTokens,\n cacheReadInputTokens: usage.cacheReadInputTokens,\n cacheWriteInputTokens: usage.cacheWriteInputTokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),\n providerMetadata: { bedrock: usage },\n })\n}\n\ninterface ParserState {\n readonly tools: ToolStream.State<number>\n // Bedrock splits the finish into `messageStop` (carries `stopReason`) and\n // `metadata` (carries usage). Hold the terminal event in state so `onHalt`\n // can emit exactly one finish after both chunks have had a chance to arrive.\n readonly pendingFinish: { readonly reason: FinishReasonDetails; readonly usage?: Usage } | undefined\n readonly hasToolCalls: boolean\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignatures: Readonly<Record<number, string>>\n}\n\nconst step = (state: ParserState, event: BedrockEvent) =>\n Effect.gen(function* () {\n if (event.contentBlockStart?.start?.toolUse) {\n const index = event.contentBlockStart.contentBlockIndex\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n return [\n {\n ...state,\n lifecycle,\n tools: ToolStream.start(state.tools, index, {\n id: event.contentBlockStart.start.toolUse.toolUseId,\n name: event.contentBlockStart.start.toolUse.name,\n }),\n },\n [\n ...events,\n LLMEvent.toolInputStart({\n id: event.contentBlockStart.start.toolUse.toolUseId,\n name: event.contentBlockStart.start.toolUse.name,\n }),\n ],\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.text) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.textDelta(\n state.lifecycle,\n events,\n `text-${event.contentBlockDelta.contentBlockIndex}`,\n event.contentBlockDelta.delta.text,\n ),\n },\n events,\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.reasoningContent) {\n const index = event.contentBlockDelta.contentBlockIndex\n const reasoning = event.contentBlockDelta.delta.reasoningContent\n const events: LLMEvent[] = []\n const redactedData = reasoning.redactedContent ?? reasoning.data\n const providerMetadata = reasoning.signature\n ? bedrockMetadata({ signature: reasoning.signature })\n : redactedData !== undefined\n ? bedrockMetadata({ redactedData })\n : undefined\n const lifecycle =\n reasoning.text !== undefined || providerMetadata !== undefined\n ? Lifecycle.reasoningDelta(\n state.lifecycle,\n events,\n `reasoning-${index}`,\n reasoning.text ?? \"\",\n providerMetadata,\n )\n : state.lifecycle\n return [\n {\n ...state,\n lifecycle,\n reasoningSignatures: reasoning.signature\n ? { ...state.reasoningSignatures, [index]: reasoning.signature }\n : state.reasoningSignatures,\n },\n events,\n ] as const\n }\n\n if (event.contentBlockDelta?.delta?.toolUse) {\n const index = event.contentBlockDelta.contentBlockIndex\n const result = ToolStream.appendExisting(\n ADAPTER,\n state.tools,\n index,\n event.contentBlockDelta.delta.toolUse.input,\n \"Bedrock Converse tool delta is missing its tool call\",\n )\n if (ToolStream.isError(result)) return yield* result\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n return [{ ...state, lifecycle, tools: result.tools }, events] as const\n }\n\n if (event.contentBlockStop) {\n const index = event.contentBlockStop.contentBlockIndex\n const result = yield* ToolStream.finish(ADAPTER, state.tools, index)\n const events: LLMEvent[] = []\n const resultEvents = result.events ?? []\n const lifecycle = resultEvents.length\n ? Lifecycle.stepStart(state.lifecycle, events)\n : Lifecycle.reasoningEnd(\n Lifecycle.textEnd(state.lifecycle, events, `text-${index}`),\n events,\n `reasoning-${index}`,\n state.reasoningSignatures[index]\n ? bedrockMetadata({ signature: state.reasoningSignatures[index] })\n : undefined,\n )\n events.push(...resultEvents)\n return [\n {\n ...state,\n hasToolCalls:\n resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||\n state.hasToolCalls,\n lifecycle,\n tools: result.tools,\n reasoningSignatures: Object.fromEntries(\n Object.entries(state.reasoningSignatures).filter(([key]) => key !== String(index)),\n ),\n },\n events,\n ] as const\n }\n\n if (event.messageStop) {\n return [\n {\n ...state,\n pendingFinish: {\n reason: {\n normalized: mapFinishReason(event.messageStop.stopReason),\n raw: event.messageStop.stopReason,\n },\n usage: state.pendingFinish?.usage,\n },\n },\n [],\n ] as const\n }\n\n if (event.metadata) {\n const usage = mapUsage(event.metadata.usage) ?? state.pendingFinish?.usage\n return [\n {\n ...state,\n pendingFinish: {\n reason: state.pendingFinish?.reason ?? { normalized: \"stop\" },\n usage,\n },\n },\n [],\n ] as const\n }\n\n const exception = (\n [\n [\"internalServerException\", event.internalServerException],\n [\"modelStreamErrorException\", event.modelStreamErrorException],\n [\"serviceUnavailableException\", event.serviceUnavailableException],\n [\"throttlingException\", event.throttlingException],\n [\"validationException\", event.validationException],\n ] as const\n ).find((entry) => entry[1] !== undefined)\n if (exception) {\n return yield* new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({\n message: exception[1]?.message ?? exception[1]?.originalMessage ?? \"Bedrock Converse stream error\",\n code: exception[0],\n }),\n })\n }\n\n return [state, []] as const\n })\n\nconst framing = BedrockEventStream.framing(ADAPTER)\n\nconst onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>\n state.pendingFinish\n ? (() => {\n const events: LLMEvent[] = []\n Lifecycle.finish(state.lifecycle, events, {\n reason: {\n ...state.pendingFinish.reason,\n normalized:\n state.pendingFinish.reason.normalized === \"stop\" && state.hasToolCalls\n ? \"tool-calls\"\n : state.pendingFinish.reason.normalized,\n },\n usage: state.pendingFinish.usage,\n })\n return events\n })()\n : []\n\n// =============================================================================\n// Protocol And Bedrock Route\n// =============================================================================\n/**\n * The Bedrock Converse protocol — request body construction, body schema, and\n * the streaming-event state machine.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: BedrockConverseBody,\n from: fromRequest,\n },\n stream: {\n event: BedrockEvent,\n initial: () => ({\n tools: ToolStream.empty<number>(),\n pendingFinish: undefined,\n hasToolCalls: false,\n lifecycle: Lifecycle.initial(),\n reasoningSignatures: {},\n }),\n step,\n onHalt,\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"bedrock\",\n providerMetadataKey: \"bedrock\",\n protocol,\n // Bedrock's URL embeds the region in the route endpoint host and the\n // validated modelId in the path. We read the validated body so the URL\n // matches the body that gets signed.\n endpoint: Endpoint.path<BedrockConverseBody>(\n ({ body }) => `/model/${encodeURIComponent(body.modelId)}/converse-stream`,\n ),\n auth: BedrockAuth.auth,\n framing,\n})\n\nexport const sigV4Auth = BedrockAuth.sigV4\n\nexport * as BedrockConverse from \"./bedrock-converse.js\"\n", | ||
| "import type { RouteDefaultsInput } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as BedrockConverse from \"../protocols/bedrock-converse.js\"\nimport type { BedrockCredentials } from \"../protocols/bedrock-converse.js\"\n\nexport const id = ProviderID.make(\"amazon-bedrock\")\n\nexport type Config = RouteDefaultsInput & {\n readonly apiKey?: string\n readonly headers?: Record<string, string>\n readonly credentials?: BedrockCredentials\n /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */\n readonly region?: string\n /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */\n readonly baseURL?: string\n}\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly auth?: \"bearer\" | \"sigv4\"\n readonly baseURL?: string\n readonly credentials?: BedrockCredentials\n readonly region?: string\n readonly topP?: number\n}\nexport const routes = [BedrockConverse.route]\n\nconst bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`\n\nconst configuredRoute = (input: Config) => {\n const { apiKey, credentials, region, baseURL, ...rest } = input\n const resolvedRegion = region ?? credentials?.region ?? \"us-east-1\"\n return BedrockConverse.route.with({\n ...rest,\n provider: id,\n endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },\n auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings>[\"model\"] = (modelID, settings) => {\n if (settings.auth === \"bearer\" && settings.apiKey === undefined)\n throw new Error(\"Amazon Bedrock bearer auth requires apiKey\")\n if (settings.auth === \"sigv4\" && settings.apiKey !== undefined)\n throw new Error(\"Amazon Bedrock SigV4 auth does not accept apiKey\")\n return configure({\n apiKey: settings.auth === \"sigv4\" ? undefined : settings.apiKey,\n baseURL: settings.baseURL,\n credentials: settings.credentials,\n generation: settings.topP === undefined ? undefined : { topP: settings.topP },\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n region: settings.region,\n }).model(modelID)\n}\n" | ||
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| ||
| "debugId": "738F4DBDF481657464756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/session.shared.ts", "../tui/src/mini/variant.shared.ts", "../tui/src/mini/theme.ts", "../tui/src/mini/mono.ts"], | ||
| "sourcesContent": [ | ||
| "import type { SessionMessageInfo, SessionMessageUser } from \"@opencode-ai/client/promise\"\nimport { promptCopy, promptSame } from \"./prompt.shared\"\nimport type { RunInput, RunPrompt } from \"./types\"\n\nconst LIMIT = 200\n\nexport type SessionMessages = SessionMessageInfo[]\n\ntype Turn = {\n prompt: RunPrompt\n provider: string | undefined\n model: string | undefined\n variant: string | undefined\n}\n\nexport type RunSession = {\n first: boolean\n turns: Turn[]\n model?: NonNullable<RunInput[\"model\"]>\n variant?: string\n}\n\nfunction messagePrompt(message: SessionMessageUser): RunPrompt {\n return {\n text: message.text,\n parts: [\n ...(message.files ?? []).map((file) => ({\n type: \"file\" as const,\n url: file.source.type === \"uri\" ? file.source.uri : `data:${file.mime};base64,${file.data}`,\n mime: file.mime,\n filename: file.name,\n source: file.mention\n ? {\n type: \"file\",\n path: file.name ?? (file.source.type === \"uri\" ? file.source.uri : \"inline attachment\"),\n text: { start: file.mention.start, end: file.mention.end, value: file.mention.text },\n }\n : undefined,\n })),\n ...(message.agents ?? []).map((agent) => ({\n type: \"agent\" as const,\n name: agent.name,\n source: agent.mention\n ? { start: agent.mention.start, end: agent.mention.end, value: agent.mention.text }\n : undefined,\n })),\n ],\n }\n}\n\nexport function createSession(messages: SessionMessages): RunSession {\n return {\n first: messages.length === 0,\n turns: messages.flatMap((message) =>\n message.type === \"user\"\n ? [{ prompt: messagePrompt(message), provider: undefined, model: undefined, variant: undefined }]\n : [],\n ),\n }\n}\n\nexport async function resolveCurrentSession(\n sdk: RunInput[\"sdk\"],\n sessionID: string,\n signal?: AbortSignal,\n limit = LIMIT,\n): Promise<RunSession> {\n const [response, session] = await Promise.all([\n sdk.message.list({ sessionID, limit, order: \"desc\" }, ...requestOptions(signal)),\n sdk.session.get({ sessionID }, ...requestOptions(signal)),\n ])\n const current = createSession(response.data.toReversed())\n return {\n ...current,\n turns: current.turns.map((turn) => ({\n ...turn,\n provider: session.model?.providerID,\n model: session.model?.id,\n variant: session.model?.variant,\n })),\n ...(session.model && {\n model: { providerID: session.model.providerID, modelID: session.model.id },\n variant: session.model.variant,\n }),\n }\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n return signal ? [{ signal }] : []\n}\n\nexport function sessionHistory(session: RunSession, limit = LIMIT): RunPrompt[] {\n return session.turns\n .map((turn) => turn.prompt)\n .filter((prompt) => prompt.text.trim())\n .filter((prompt, index, prompts) => index === 0 || !promptSame(prompts[index - 1], prompt))\n .map(promptCopy)\n .slice(-limit)\n}\n\nexport function sessionVariant(session: RunSession, model: RunInput[\"model\"]): string | undefined {\n if (!model) return\n if (session.model?.providerID === model.providerID && session.model.modelID === model.modelID) return session.variant\n\n return session.turns.findLast((turn) => turn.provider === model.providerID && turn.model === model.modelID)?.variant\n}\n", | ||
| "// Model variant resolution and persistence.\n//\n// Variants are provider-specific reasoning effort levels (e.g., \"high\", \"max\").\n// Resolution priority: CLI --variant flag > valid session history > saved preference.\n//\n// The saved variant persists across sessions in ~/.local/state/opencode/model.json\n// so your last-used variant sticks. Cycling (ctrl+t) updates both the active\n// variant and the persisted file.\nimport { createSession, sessionVariant, type RunSession, type SessionMessages } from \"./session.shared\"\nimport type { RunInput, RunProvider } from \"./types\"\nimport { cycleModelVariant, normalizeModelVariant } from \"../model-preference\"\n\nexport function modelInfo(providers: RunProvider[] | undefined, model: NonNullable<RunInput[\"model\"]>) {\n const provider = providers?.find((item) => item.id === model.providerID)\n return {\n provider: provider?.name ?? model.providerID,\n model: provider?.models[model.modelID]?.name ?? model.modelID,\n }\n}\n\nexport function formatModelLabel(\n model: NonNullable<RunInput[\"model\"]>,\n variant: string | undefined,\n providers?: RunProvider[],\n): string {\n const names = modelInfo(providers, model)\n const label = variant ? ` · ${variant}` : \"\"\n return `${names.model} · ${names.provider}${label}`\n}\n\nexport function cycleVariant(current: string | undefined, variants: string[]): string | undefined {\n return cycleModelVariant(current, variants)\n}\n\nexport function pickVariant(model: RunInput[\"model\"], input: RunSession | SessionMessages): string | undefined {\n return sessionVariant(Array.isArray(input) ? createSession(input) : input, model)\n}\n\nfunction fitVariant(value: string | undefined, variants: string[]): string | undefined {\n const normalized = normalizeModelVariant(value)\n return normalized && (variants.length === 0 || variants.includes(normalized)) ? normalized : undefined\n}\n\n// Picks the active variant. CLI flag wins, then valid session history, then the\n// saved preference. Saved and session values are dropped when the provider no\n// longer offers them.\nexport function resolveVariant(\n input: string | undefined,\n session: string | undefined,\n saved: string | undefined,\n variants: string[],\n): string | undefined {\n if (input !== undefined) {\n return normalizeModelVariant(input)\n }\n\n return fitVariant(session, variants) ?? fitVariant(saved, variants)\n}\n", | ||
| "// Theme resolution for direct interactive mode.\n//\n// Derives scrollback and footer colors from the terminal's actual palette.\n// resolveRunTheme() queries the renderer for the terminal's palette,\n// detects dark/light mode, builds a small system theme locally, and maps it to\n// the run footer + scrollback color model. Falls back to a hardcoded dark-mode\n// palette if detection fails.\nimport { RGBA, SyntaxStyle, type CliRenderer, type ColorInput, type TerminalColors } from \"@opentui/core\"\nimport type { TuiThemeCurrent } from \"@opencode-ai/plugin/v1/tui\"\nimport { ansiToRgba } from \"../theme/color\"\nimport { resolveThemeColors } from \"../theme/resolve\"\nimport { terminalMode } from \"../theme/system\"\nimport type { ThemeV1Json } from \"../theme/v1\"\nimport type { EntryKind, RunTuiConfig } from \"./types\"\n\ntype Tone = {\n body: ColorInput\n start?: ColorInput\n}\n\nexport type RunEntryTheme = Record<EntryKind, Tone>\n\nexport type RunSplashTheme = {\n left: ColorInput\n right: ColorInput\n leftShadow: ColorInput\n}\n\nexport type RunFooterTheme = {\n highlight: ColorInput\n selected: ColorInput\n selectedText: ColorInput\n warning: ColorInput\n error: ColorInput\n muted: ColorInput\n text: ColorInput\n status: ColorInput\n statusAccent: ColorInput\n shade: ColorInput\n surface: ColorInput\n pane: ColorInput\n border: ColorInput\n line: ColorInput\n}\n\nexport type RunBlockTheme = {\n text: ColorInput\n muted: ColorInput\n syntax?: SyntaxStyle\n diffRemoved: ColorInput\n diffAddedBg: ColorInput\n diffRemovedBg: ColorInput\n diffContextBg: ColorInput\n diffHighlightAdded: ColorInput\n diffHighlightRemoved: ColorInput\n diffLineNumber: ColorInput\n diffAddedLineNumberBg: ColorInput\n diffRemovedLineNumberBg: ColorInput\n}\n\nexport type RunTheme = {\n background: ColorInput\n footer: RunFooterTheme\n entry: RunEntryTheme\n splash: RunSplashTheme\n block: RunBlockTheme\n}\n\ntype ThemeColor = Exclude<keyof TuiThemeCurrent, \"thinkingOpacity\">\n\ntype SharedSyntaxTheme = TuiThemeCurrent & {\n _hasSelectedListItemText: boolean\n}\n\nexport const transparent = RGBA.fromValues(0, 0, 0, 0)\n\nfunction alpha(color: RGBA, value: number): RGBA {\n return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, value)))\n}\n\nfunction rgba(hex: string, value?: number): RGBA {\n const color = RGBA.fromHex(hex)\n return value === undefined ? color : alpha(color, value)\n}\n\nfunction colorMode(bg: RGBA): \"dark\" | \"light\" {\n return luminance(bg) > 0.5 ? \"light\" : \"dark\"\n}\n\nfunction luminance(color: RGBA): number {\n return 0.299 * color.r + 0.587 * color.g + 0.114 * color.b\n}\n\nfunction fade(color: RGBA, base: RGBA, fallback: number, scale: number, limit: number): RGBA {\n if (color.a === 0) {\n return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, fallback)))\n }\n\n const target = Math.min(limit, color.a * scale)\n const mix = Math.min(1, target / color.a)\n\n return RGBA.fromValues(\n base.r + (color.r - base.r) * mix,\n base.g + (color.g - base.g) * mix,\n base.b + (color.b - base.b) * mix,\n color.a,\n )\n}\n\nfunction tint(base: RGBA, overlay: RGBA, value: number): RGBA {\n return RGBA.fromInts(\n Math.round((base.r + (overlay.r - base.r) * value) * 255),\n Math.round((base.g + (overlay.g - base.g) * value) * 255),\n Math.round((base.b + (overlay.b - base.b) * value) * 255),\n )\n}\n\nfunction chroma(color: RGBA) {\n return Math.max(color.r, color.g, color.b) - Math.min(color.r, color.g, color.b)\n}\n\nfunction indexedPalette(colors: TerminalColors, size: number = Math.max(colors.palette.length, 16)): RGBA[] {\n return Array.from({ length: size }, (_, index) => {\n const value = colors.palette[index]\n return RGBA.fromIndex(index, value ? RGBA.fromHex(value) : ansiToRgba(index))\n })\n}\n\nfunction srgbToLinear(value: number): number {\n if (value <= 0.04045) {\n return value / 12.92\n }\n\n return ((value + 0.055) / 1.055) ** 2.4\n}\n\nfunction oklab(color: RGBA) {\n const r = srgbToLinear(color.r)\n const g = srgbToLinear(color.g)\n const b = srgbToLinear(color.b)\n\n const l = Math.cbrt(0.4122214708 * r + 0.5363325363 * g + 0.0514459929 * b)\n const m = Math.cbrt(0.2119034982 * r + 0.6806995451 * g + 0.1073969566 * b)\n const s = Math.cbrt(0.0883024619 * r + 0.2817188376 * g + 0.6299787005 * b)\n\n return {\n l: 0.2104542553 * l + 0.793617785 * m - 0.0040720468 * s,\n a: 1.9779984951 * l - 2.428592205 * m + 0.4505937099 * s,\n b: 0.0259040371 * l + 0.7827717662 * m - 0.808675766 * s,\n }\n}\n\nfunction nearestIndexed(indexed: RGBA[], rgba: RGBA): RGBA {\n const target = oklab(rgba)\n const hit = indexed.reduce(\n (best, item) => {\n const sample = oklab(item)\n const dl = sample.l - target.l\n const da = sample.a - target.a\n const db = sample.b - target.b\n const dist = dl * dl * 2 + da * da + db * db\n if (dist >= best.dist) return best\n return {\n dist,\n item,\n }\n },\n {\n dist: Number.POSITIVE_INFINITY,\n item: indexed[0]!,\n },\n )\n\n return RGBA.clone(hit.item)\n}\n\nfunction paletteColor(colors: TerminalColors, index: number): RGBA {\n const value = colors.palette[index]\n return value ? RGBA.fromHex(value) : ansiToRgba(index)\n}\n\nfunction splashShadow(indexed: RGBA[], base: RGBA, overlay: RGBA, value: number): RGBA {\n const mixed = tint(base, overlay, value)\n return nearestIndexed(indexed, mixed)\n}\n\nexport function resolveTheme(theme: ThemeV1Json, pick: \"dark\" | \"light\"): TuiThemeCurrent {\n const resolved = resolveThemeColors(theme, pick, (code) => RGBA.fromIndex(code, ansiToRgba(code)))\n return {\n ...resolved.theme,\n thinkingOpacity: resolved.thinkingOpacity,\n }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): Record<number, RGBA> {\n const r = bg.r * 255\n const g = bg.g * 255\n const b = bg.b * 255\n const lum = 0.299 * r + 0.587 * g + 0.114 * b\n const cast = 0.25 * (1 - chroma(bg)) ** 2\n\n const gray = (level: number) => {\n const factor = level / 12\n\n if (isDark && lum < 10) {\n const value = Math.floor(factor * 0.4 * 255)\n return map(RGBA.fromInts(value, value, value))\n }\n\n if (!isDark && lum > 245) {\n const value = Math.floor(255 - factor * 0.4 * 255)\n return map(RGBA.fromInts(value, value, value))\n }\n\n const value = isDark ? lum + (255 - lum) * factor * 0.4 : lum * (1 - factor * 0.4)\n const tone = RGBA.fromInts(Math.floor(value), Math.floor(value), Math.floor(value))\n if (cast === 0) return map(tone)\n\n const ratio = lum === 0 ? 0 : value / lum\n return map(\n tint(\n tone,\n RGBA.fromInts(\n Math.floor(Math.max(0, Math.min(r * ratio, 255))),\n Math.floor(Math.max(0, Math.min(g * ratio, 255))),\n Math.floor(Math.max(0, Math.min(b * ratio, 255))),\n ),\n cast,\n ),\n )\n }\n\n return Object.fromEntries(Array.from({ length: 12 }, (_, index) => [index + 1, gray(index + 1)]))\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): RGBA {\n const lum = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n const gray = isDark\n ? lum < 10\n ? 180\n : Math.min(Math.floor(160 + lum * 0.3), 200)\n : lum > 245\n ? 75\n : Math.max(Math.floor(100 - (255 - lum) * 0.2), 60)\n\n return map(RGBA.fromInts(gray, gray, gray))\n}\n\nexport function generateSystem(colors: TerminalColors, pick: \"dark\" | \"light\"): ThemeV1Json {\n const bg_snapshot = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n const fg_snapshot = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n const bg = RGBA.defaultBackground(bg_snapshot)\n const fg = RGBA.defaultForeground(fg_snapshot)\n const isDark = pick === \"dark\"\n\n const color = (index: number) => paletteColor(colors, index)\n\n const grays = generateGrayScale(bg_snapshot, isDark, (rgba) => rgba)\n const textMuted = generateMutedTextColor(bg_snapshot, isDark, (rgba) => rgba)\n\n const ansi = {\n red: color(1),\n green: color(2),\n yellow: color(3),\n blue: color(4),\n magenta: color(5),\n cyan: color(6),\n red_bright: color(9),\n green_bright: color(10),\n }\n\n const diff_alpha = isDark ? 0.22 : 0.14\n const diff_context_bg = grays[2]\n const primary = ansi.cyan\n const secondary = ansi.magenta\n\n return {\n theme: {\n primary,\n secondary,\n accent: primary,\n error: ansi.red,\n warning: ansi.yellow,\n success: ansi.green,\n info: ansi.cyan,\n text: fg,\n textMuted,\n selectedListItemText: bg,\n background: alpha(bg, 0),\n backgroundPanel: grays[2],\n backgroundElement: grays[3],\n backgroundMenu: grays[3],\n borderSubtle: grays[6],\n border: grays[7],\n borderActive: grays[8],\n diffAdded: ansi.green,\n diffRemoved: ansi.red,\n diffContext: grays[7],\n diffHunkHeader: grays[7],\n diffHighlightAdded: ansi.green_bright,\n diffHighlightRemoved: ansi.red_bright,\n diffAddedBg: tint(bg_snapshot, ansi.green, diff_alpha),\n diffRemovedBg: tint(bg_snapshot, ansi.red, diff_alpha),\n diffContextBg: diff_context_bg,\n diffLineNumber: textMuted,\n diffAddedLineNumberBg: tint(diff_context_bg, ansi.green, diff_alpha),\n diffRemovedLineNumberBg: tint(diff_context_bg, ansi.red, diff_alpha),\n markdownText: fg,\n markdownHeading: fg,\n markdownLink: ansi.blue,\n markdownLinkText: ansi.cyan,\n markdownCode: ansi.green,\n markdownBlockQuote: ansi.yellow,\n markdownEmph: ansi.yellow,\n markdownStrong: fg,\n markdownHorizontalRule: grays[7],\n markdownListItem: ansi.blue,\n markdownListEnumeration: ansi.cyan,\n markdownImage: ansi.blue,\n markdownImageText: ansi.cyan,\n markdownCodeBlock: fg,\n syntaxComment: textMuted,\n syntaxKeyword: ansi.magenta,\n syntaxFunction: ansi.blue,\n syntaxVariable: fg,\n syntaxString: ansi.green,\n syntaxNumber: ansi.yellow,\n syntaxType: ansi.cyan,\n syntaxOperator: ansi.cyan,\n syntaxPunctuation: fg,\n },\n }\n}\n\nfunction quantizeColor(indexed: RGBA[], rgba: RGBA): RGBA {\n if (rgba.a === 0 || rgba.intent === \"default\" || rgba.intent === \"indexed\") {\n return RGBA.clone(rgba)\n }\n\n return nearestIndexed(indexed, rgba)\n}\n\nfunction quantizeTheme(theme: TuiThemeCurrent, indexed: RGBA[]): TuiThemeCurrent {\n const resolved = Object.fromEntries(\n Object.entries(theme)\n .filter(([key]) => key !== \"thinkingOpacity\")\n .map(([key, value]) => [key, quantizeColor(indexed, value as RGBA)]),\n ) as Partial<Record<ThemeColor, RGBA>>\n\n return {\n ...(resolved as Record<ThemeColor, RGBA>),\n thinkingOpacity: theme.thinkingOpacity,\n }\n}\n\nfunction splashTheme(theme: TuiThemeCurrent, indexed: RGBA[]): RunSplashTheme {\n const left = nearestIndexed(indexed, theme.textMuted)\n const right = nearestIndexed(indexed, theme.text)\n return {\n left,\n right,\n leftShadow: splashShadow(indexed, theme.background, left, 0.14),\n }\n}\n\nfunction map(\n footerTheme: TuiThemeCurrent,\n scrollbackTheme: TuiThemeCurrent,\n splash: RunSplashTheme,\n syntax?: SyntaxStyle,\n): RunTheme {\n const footerBackground = alpha(footerTheme.background, 1)\n const footerMode = colorMode(footerBackground)\n const shade = fade(footerTheme.backgroundMenu, footerTheme.background, 0.12, 0.56, 0.72)\n const surface = fade(footerTheme.backgroundMenu, footerTheme.background, 0.18, 0.76, 0.9)\n const line = fade(footerTheme.backgroundMenu, footerTheme.background, 0.24, 0.9, 0.98)\n const statusBase = tint(footerBackground, rgba(\"#000000\"), footerMode === \"dark\" ? 0.13 : 0.06)\n const statusAccentBase =\n footerMode === \"dark\" ? tint(footerBackground, rgba(\"#ffffff\"), 0.06) : tint(statusBase, rgba(\"#000000\"), 0.04)\n const collapsedStatus = footerMode === \"dark\" && luminance(statusBase) <= 0.04\n // Pure-black backgrounds need a slight lift or the row disappears into the terminal background.\n const status = collapsedStatus ? tint(statusBase, statusAccentBase, 0.7) : statusBase\n const statusAccent = collapsedStatus ? tint(status, rgba(\"#ffffff\"), 0.06) : statusAccentBase\n\n return {\n background: footerTheme.background,\n footer: {\n highlight: footerTheme.primary,\n selected: footerTheme.backgroundElement,\n selectedText: footerTheme.selectedListItemText,\n warning: footerTheme.warning,\n error: footerTheme.error,\n muted: footerTheme.textMuted,\n text: footerTheme.text,\n status,\n statusAccent,\n shade,\n surface,\n pane: footerTheme.backgroundMenu,\n border: footerTheme.border,\n line,\n },\n entry: {\n system: {\n body: scrollbackTheme.textMuted,\n },\n user: {\n body: scrollbackTheme.primary,\n },\n assistant: {\n body: scrollbackTheme.text,\n },\n reasoning: {\n body: scrollbackTheme.textMuted,\n },\n tool: {\n body: scrollbackTheme.text,\n start: scrollbackTheme.textMuted,\n },\n error: {\n body: scrollbackTheme.error,\n },\n },\n splash,\n block: {\n text: scrollbackTheme.text,\n muted: scrollbackTheme.textMuted,\n syntax,\n diffRemoved: scrollbackTheme.diffRemoved,\n diffAddedBg: transparent,\n diffRemovedBg: transparent,\n diffContextBg: transparent,\n diffHighlightAdded: scrollbackTheme.diffHighlightAdded,\n diffHighlightRemoved: scrollbackTheme.diffHighlightRemoved,\n diffLineNumber: scrollbackTheme.diffLineNumber,\n diffAddedLineNumberBg: scrollbackTheme.diffAddedLineNumberBg,\n diffRemovedLineNumberBg: scrollbackTheme.diffRemovedLineNumberBg,\n },\n }\n}\n\nconst seed = {\n highlight: RGBA.fromIndex(6, rgba(\"#38bdf8\")),\n muted: RGBA.fromIndex(8, rgba(\"#64748b\")),\n text: RGBA.defaultForeground(rgba(\"#f8fafc\")),\n panel: rgba(\"#0f172a\"),\n success: RGBA.fromIndex(2, rgba(\"#22c55e\")),\n warning: RGBA.fromIndex(3, rgba(\"#f59e0b\")),\n error: RGBA.fromIndex(1, rgba(\"#ef4444\")),\n}\n\nfunction tone(body: ColorInput, start?: ColorInput): Tone {\n return {\n body,\n start,\n }\n}\n\nconst fallbackSplashIndexed = Array.from({ length: 256 }, (_, index) => RGBA.fromIndex(index))\nconst fallbackSplashLeft = RGBA.fromIndex(67)\nconst fallbackSplashRight = RGBA.fromIndex(110)\n\nexport const RUN_THEME_FALLBACK: RunTheme = {\n background: RGBA.fromValues(0, 0, 0, 0),\n footer: {\n highlight: seed.highlight,\n selected: seed.text,\n selectedText: seed.panel,\n warning: seed.warning,\n error: seed.error,\n muted: seed.muted,\n text: seed.text,\n status: tint(seed.panel, rgba(\"#000000\"), 0.12),\n statusAccent: tint(seed.panel, rgba(\"#ffffff\"), 0.06),\n shade: alpha(seed.panel, 0.68),\n surface: alpha(seed.panel, 0.86),\n pane: seed.panel,\n border: seed.muted,\n line: alpha(seed.panel, 0.96),\n },\n entry: {\n system: tone(seed.muted),\n user: tone(seed.highlight),\n assistant: tone(seed.text),\n reasoning: tone(seed.muted),\n tool: tone(seed.text, seed.muted),\n error: tone(seed.error),\n },\n splash: {\n left: fallbackSplashLeft,\n right: fallbackSplashRight,\n leftShadow: splashShadow(fallbackSplashIndexed, RGBA.fromValues(0, 0, 0, 0), fallbackSplashLeft, 0.14),\n },\n block: {\n text: seed.text,\n muted: seed.muted,\n diffRemoved: seed.error,\n diffAddedBg: alpha(seed.success, 0.18),\n diffRemovedBg: alpha(seed.error, 0.18),\n diffContextBg: alpha(seed.panel, 0.72),\n diffHighlightAdded: seed.success,\n diffHighlightRemoved: seed.error,\n diffLineNumber: seed.muted,\n diffAddedLineNumberBg: alpha(seed.success, 0.12),\n diffRemovedLineNumberBg: alpha(seed.error, 0.12),\n },\n}\n\nfunction monoTheme(mode: \"dark\" | \"light\"): RunTheme {\n const foreground = RGBA.defaultForeground(mode === \"light\" ? \"#000000\" : \"#ffffff\")\n const background = RGBA.defaultBackground(mode === \"light\" ? \"#ffffff\" : \"#000000\")\n return {\n background,\n footer: {\n highlight: foreground,\n selected: background,\n selectedText: foreground,\n warning: foreground,\n error: foreground,\n muted: foreground,\n text: foreground,\n status: background,\n statusAccent: background,\n shade: background,\n surface: background,\n pane: background,\n border: foreground,\n line: background,\n },\n entry: {\n system: tone(foreground),\n user: tone(foreground),\n assistant: tone(foreground),\n reasoning: tone(foreground),\n tool: tone(foreground),\n error: tone(foreground),\n },\n splash: {\n left: foreground,\n right: foreground,\n leftShadow: background,\n },\n block: {\n text: foreground,\n muted: foreground,\n diffRemoved: foreground,\n diffAddedBg: background,\n diffRemovedBg: background,\n diffContextBg: background,\n diffHighlightAdded: foreground,\n diffHighlightRemoved: foreground,\n diffLineNumber: foreground,\n diffAddedLineNumberBg: background,\n diffRemovedLineNumberBg: background,\n },\n }\n}\n\nexport const RUN_THEME_MONO = monoTheme(\"dark\")\nconst RUN_THEME_MONO_LIGHT = monoTheme(\"light\")\n\nexport async function resolveRunTheme(\n renderer: CliRenderer,\n config?: RunTuiConfig[\"theme\"],\n mono = false,\n): Promise<RunTheme> {\n if (mono) {\n const mode =\n config?.mode === \"light\" || config?.mode === \"dark\"\n ? config.mode\n : (renderer.themeMode ?? (await renderer.waitForThemeMode(300)))\n return mode === \"light\" ? RUN_THEME_MONO_LIGHT : RUN_THEME_MONO\n }\n try {\n const colors = await renderer.getPalette({\n size: 256,\n })\n const bg = colors.defaultBackground ?? colors.palette[0]\n if (!bg) {\n return RUN_THEME_FALLBACK\n }\n\n // Palette-only terminal reloads can leave renderer.themeMode stale, but\n // ANSI slot zero is not the terminal background when OSC 11 is absent.\n const pick =\n config?.mode === \"dark\" || config?.mode === \"light\"\n ? config.mode\n : (terminalMode(colors) ?? renderer.themeMode ?? colorMode(RGBA.fromHex(bg)))\n const { generateSyntax } = await import(\"../theme\")\n const indexed = indexedPalette(colors, 256)\n const footerTheme = resolveTheme(generateSystem(colors, pick), pick)\n const scrollbackTheme = quantizeTheme(footerTheme, indexed)\n const syntaxTheme: SharedSyntaxTheme = {\n ...scrollbackTheme,\n _hasSelectedListItemText: true,\n }\n return map(footerTheme, scrollbackTheme, splashTheme(scrollbackTheme, indexed), generateSyntax(syntaxTheme))\n } catch {\n return RUN_THEME_FALLBACK\n }\n}\n", | ||
| "import {\n BoxRenderable,\n CodeRenderable,\n MarkdownRenderable,\n RGBA,\n Renderable,\n StyledText,\n TextRenderable,\n TextTableRenderable,\n isStyledText,\n stringToStyledText,\n type BorderCharacters,\n type CliRendererExternalOutputEvent,\n type TreeSitterClient,\n} from \"@opentui/core\"\n\nconst prefixes: Record<number, string> = {\n 0x2192: \"->\",\n 0x2190: \"<-\",\n 0x2731: \"*\",\n 0x2699: \"*\",\n 0x2716: \"!\",\n 0x2717: \"!\",\n 0x25c8: \"*\",\n 0x25c9: \"*\",\n 0x27f3: \"*\",\n}\n\nconst markdown: Record<number, string> = {\n ...prefixes,\n 0x00a0: \" \",\n 0x00b7: \"-\",\n 0x2010: \"-\",\n 0x2011: \"-\",\n 0x2012: \"-\",\n 0x2013: \"-\",\n 0x2014: \"--\",\n 0x2018: \"'\",\n 0x2019: \"'\",\n 0x201c: '\"',\n 0x201d: '\"',\n 0x2022: \"*\",\n 0x2026: \"...\",\n 0x2191: \"up\",\n 0x2193: \"down\",\n}\n\nconst asciiBorder: BorderCharacters = {\n topLeft: \"+\",\n topRight: \"+\",\n bottomLeft: \"+\",\n bottomRight: \"+\",\n horizontal: \"-\",\n vertical: \"|\",\n topT: \"+\",\n bottomT: \"+\",\n leftT: \"+\",\n rightT: \"+\",\n cross: \"+\",\n}\n\nconst hooked = new WeakSet<Renderable>()\n\nexport const monoMarkdownTableOptions = {\n style: \"columns\" as const,\n widthMode: \"content\" as const,\n borders: false,\n}\n\nexport function monoMarkdownRenderable(renderable: MarkdownRenderable): void {\n monoRenderable(renderable)\n}\n\nfunction monoRenderable(renderable: Renderable): void {\n if (hooked.has(renderable)) return\n hooked.add(renderable)\n // Markdown reconciles nested lists and tables without calling renderNode.\n // Hook the actual tree so future descendants are transformed before layout.\n const add = renderable.add.bind(renderable)\n renderable.add = (child, index) => {\n if (child instanceof Renderable) monoRenderable(child)\n return add(child, index)\n }\n\n if (renderable instanceof BoxRenderable) renderable.customBorderChars = asciiBorder\n if (renderable instanceof CodeRenderable) monoCode(renderable)\n if (renderable instanceof TextRenderable) renderable.content = monoStyledText(renderable.content)\n if (renderable instanceof TextTableRenderable) monoTable(renderable)\n renderable.getChildren().forEach(monoRenderable)\n}\n\nfunction monoCode(renderable: CodeRenderable): void {\n const onChunks = renderable.onChunks\n renderable.onChunks = async (chunks, context) => monoChunks((await onChunks?.(chunks, context)) ?? chunks)\n renderable.treeSitterClient = monoTreeSitter(renderable.treeSitterClient)\n\n const initialDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"initialStyledText\")\n const contentDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"content\")\n if (!initialDescriptor?.set || !contentDescriptor?.get || !contentDescriptor.set) return\n const initialSetter = initialDescriptor.set.bind(renderable)\n const contentGetter = contentDescriptor.get.bind(renderable)\n const contentSetter = contentDescriptor.set.bind(renderable)\n const initial = Reflect.get(renderable, \"_initialStyledText\")\n Object.defineProperty(renderable, \"initialStyledText\", {\n configurable: true,\n set(value: StyledText | undefined) {\n initialSetter(value ? monoStyledText(value) : value)\n },\n })\n Object.defineProperty(renderable, \"content\", {\n configurable: true,\n get: contentGetter,\n set(value: string) {\n if (renderable.filetype !== \"markdown\" || !isStyledText(Reflect.get(renderable, \"_initialStyledText\"))) {\n renderable.drawUnstyledText = true\n renderable.initialStyledText = stringToStyledText(value)\n }\n contentSetter(renderable.filetype === \"markdown\" ? value : monoText(value))\n },\n })\n\n if (isStyledText(initial)) {\n renderable.initialStyledText = initial\n } else {\n renderable.drawUnstyledText = true\n renderable.initialStyledText = stringToStyledText(renderable.content)\n }\n if (!renderable.drawUnstyledText) return\n\n // Refresh the eager buffer with the transformed initial text. Highlighted\n // chunks continue through onChunks without changing the Markdown source.\n const content = renderable.content\n renderable.content = \"\"\n renderable.content = content\n}\n\nfunction monoTreeSitter(client: TreeSitterClient): TreeSitterClient {\n return new Proxy(client, {\n get(target, property) {\n if (property !== \"highlightOnce\") return Reflect.get(target, property, target)\n // Keep parser failures on the chunk path instead of OpenTUI's raw-text fallback.\n return (...args: Parameters<TreeSitterClient[\"highlightOnce\"]>) =>\n target.highlightOnce(...args).catch(() => ({ highlights: [] }))\n },\n })\n}\n\nfunction monoTable(renderable: TextTableRenderable): void {\n const descriptor = Object.getOwnPropertyDescriptor(TextTableRenderable.prototype, \"content\")\n if (!descriptor?.get || !descriptor.set) return\n const cells = new WeakMap<StyledText[\"chunks\"], StyledText[\"chunks\"]>()\n const content = renderable.content\n Object.defineProperty(renderable, \"content\", {\n configurable: true,\n get: () => descriptor.get!.call(renderable),\n set: (value: TextTableRenderable[\"content\"]) => {\n descriptor.set!.call(\n renderable,\n value.map((row) =>\n row.map((cell) => {\n if (!cell) return cell\n const cached = cells.get(cell)\n if (cached) return cached\n const next = monoChunks(cell)\n cells.set(cell, next)\n return next\n }),\n ),\n )\n },\n })\n renderable.content = content\n}\n\nfunction monoStyledText(value: StyledText): StyledText {\n return new StyledText(monoChunks(value.chunks))\n}\n\nfunction monoChunks(value: StyledText[\"chunks\"]): StyledText[\"chunks\"] {\n return value.map((chunk) => ({ ...chunk, text: monoText(chunk.text) }))\n}\n\nfunction monoText(value: string): string {\n return value.replace(/[^\\t\\n\\x20-\\x7e]/gu, (char) => markdown[char.codePointAt(0)!] ?? \"?\")\n}\n\nexport function monoSnapshot(event: CliRendererExternalOutputEvent): void {\n const buffers = event.snapshot.buffers\n const chars = buffers.char\n for (let index = 0; index < chars.length; index += 1) {\n const point = chars[index]\n if (point <= 0x7f) continue\n const offset = index * 4\n event.snapshot.setCell(\n index % event.snapshot.width,\n Math.floor(index / event.snapshot.width),\n monoCell(point),\n RGBA.fromArray(buffers.fg.subarray(offset, offset + 4)),\n RGBA.fromArray(buffers.bg.subarray(offset, offset + 4)),\n buffers.attributes[index],\n )\n }\n}\n\nfunction monoCell(point: number): string {\n const kind = point >>> 30\n if (kind === 2) return \"?\"\n if (kind === 3) return \" \"\n if (point === 0x2500) return \"-\"\n if (point === 0x2502) return \"|\"\n return markdown[point]?.[0] ?? \"?\"\n}\n\nexport function monoPrefix(value: string, mono: boolean): string {\n if (!mono) return value\n const point = value.codePointAt(0)\n if (point === undefined) return value\n const prefix = prefixes[point]\n if (!prefix) return value\n return prefix + value.slice(point > 0xffff ? 2 : 1)\n}\n\nexport function monoToolText(value: string, mono: boolean): string {\n const result = monoPrefix(value, mono)\n if (!mono) return result\n const separator = ` ${String.fromCodePoint(0xb7)} `\n const index = result.lastIndexOf(separator)\n if (index === -1) return result\n const head = result.slice(0, index)\n if (!head.includes(\" completed\") && head !== \"patch\" && !/^\\d+ questions$/.test(head)) return result\n return result.slice(0, index) + \" - \" + result.slice(index + separator.length)\n}\n\nexport function monoShortcut(value: string, mono: boolean): string {\n if (!mono) return value\n return value\n .replaceAll(String.fromCodePoint(0x2192), \"right\")\n .replaceAll(String.fromCodePoint(0x2190), \"left\")\n .replaceAll(String.fromCodePoint(0x2191), \"up\")\n .replaceAll(String.fromCodePoint(0x2193), \"down\")\n}\n\nexport function monoTruncate(value: string, width: number, mono: boolean): string {\n if (!mono || value.length <= width) return value\n if (width <= 3) return \".\".repeat(Math.max(0, width))\n return value.slice(0, width - 3) + \"...\"\n}\n\nexport function monoTruncateMiddle(value: string, width: number, mono: boolean): string {\n if (!mono || value.length <= width) return value\n if (width <= 3) return \".\".repeat(Math.max(0, width))\n const available = width - 3\n const left = Math.ceil(available / 2)\n return value.slice(0, left) + \"...\" + value.slice(value.length - (available - left))\n}\n" | ||
| ], | ||
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| ||
| "debugId": "CCBAD2B6A38D899B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../../node_modules/.bun/cli-spinners@3.4.0/node_modules/cli-spinners/index.js", "../../node_modules/.bun/opentui-spinner@0.0.7+98da62875aafaa11/node_modules/opentui-spinner/dist/src-DjeqLSfu.mjs", "../../node_modules/.bun/opentui-spinner@0.0.7+98da62875aafaa11/node_modules/opentui-spinner/dist/solid.mjs", "../tui/src/component/register-spinner.ts"], | ||
| "sourcesContent": [ | ||
| "import spinners from './spinners.json' with {type: 'json'};\n\nexport default spinners;\n\nconst spinnersList = Object.keys(spinners);\n\nexport function randomSpinner() {\n\tconst randomIndex = Math.floor(Math.random() * spinnersList.length);\n\tconst spinnerName = spinnersList[randomIndex];\n\treturn spinners[spinnerName];\n}\n", | ||
| "import{Renderable as e,parseColor as t,resolveRenderLib as n}from\"@opentui/core\";import r from\"cli-spinners\";const i=1e3/60,a=1e3;function o(e){if(!Number.isFinite(e)||e<i||e>a)throw RangeError(`Spinner interval must be a finite number between ${i}ms and ${a}ms`);return e}const s={now:()=>performance.now(),setInterval:(e,t)=>{let n=setInterval(e,t);return n.unref(),n},clearInterval:e=>clearInterval(e)},c=new class{active=new Map;heap=[];timer=null;timerDueAt=0;generation=0;lastWakeAt=-1/0;clock;constructor(e=s,t=16){this.denseTickThreshold=t,this.clock=e}setClock(e){if(this.active.size>0||this.timer!==null)throw Error(`Cannot replace the spinner scheduler clock while active`);this.clock=e}start(e,t,n){if(this.active.has(e))return;let r={spinner:e,interval:t,nextDueAt:this.clock.now()+t,advance:n};this.active.set(e,r),this.push(r),this.armNext()}reschedule(e,t){let n=this.active.get(e);if(!n)return;let r={spinner:e,interval:t,nextDueAt:this.clock.now()+t,advance:n.advance};this.active.set(e,r),this.push(r),this.compactIfNeeded(),this.armNext()}stop(e){this.active.delete(e)&&(this.compactIfNeeded(),this.armNext())}armNext(){this.discardStaleRoots();let e=this.heap[0];if(!e){this.cancelTimer(),this.lastWakeAt=-1/0;return}let t=this.clock.now(),n=Math.max(e.nextDueAt,this.lastWakeAt+i);if(this.timer!==null&&this.timerDueAt===n)return;this.cancelTimer();let r=this.generation,a=Math.max(n-t,0);this.timerDueAt=n,this.timer=this.clock.setInterval(()=>this.tick(r),a)}cancelTimer(){this.timer!==null&&(this.generation++,this.clock.clearInterval(this.timer),this.timer=null)}tick(e){if(e!==this.generation||this.timer===null)return;let t=this.timer;this.generation++,this.timer=null,this.clock.clearInterval(t);let n=this.clock.now();this.discardStaleRoots();let r=!1,i=0,a=[];for(;this.heap[0]&&this.heap[0].nextDueAt<=n;){let e=this.pop();if(!(!e||!this.isCurrent(e))){try{e.advance()}catch(e){a.push(e)}if(r=!0,this.isCurrent(e)&&(e.nextDueAt=n+e.interval,this.push(e),i++,i===this.denseTickThreshold)){let e=this.heap;this.heap=[];for(let t of e)if(this.isCurrent(t)){if(t.nextDueAt<=n){try{t.advance()}catch(e){a.push(e)}if(r=!0,!this.isCurrent(t))continue;t.nextDueAt=n+t.interval}this.heap.push(t)}this.heapify();break}}}if(r&&(this.lastWakeAt=n),this.compactIfNeeded(),this.armNext(),a.length===1)throw a[0];if(a.length>1)throw AggregateError(a,`Multiple spinner callbacks failed`)}isCurrent(e){return this.active.get(e.spinner)===e}discardStaleRoots(){for(;this.heap[0]&&!this.isCurrent(this.heap[0]);)this.pop()}compactIfNeeded(){this.heap.length<=this.active.size*2+16||(this.heap=Array.from(this.active.values()),this.heapify())}heapify(){for(let e=Math.floor(this.heap.length/2)-1;e>=0;e--)this.siftDown(e)}push(e){this.heap.push(e);let t=this.heap.length-1;for(;t>0;){let n=Math.floor((t-1)/2);if(this.heap[n].nextDueAt<=e.nextDueAt)break;this.heap[t]=this.heap[n],t=n}this.heap[t]=e}pop(){let e=this.heap[0],t=this.heap.pop();return!e||!t||this.heap.length===0?e:(this.heap[0]=t,this.siftDown(0),e)}siftDown(e){let t=this.heap[e],n=e;for(;;){let e=n*2+1;if(e>=this.heap.length)break;let r=e+1,i=r<this.heap.length&&this.heap[r].nextDueAt<this.heap[e].nextDueAt?r:e;if(this.heap[i].nextDueAt>=t.nextDueAt)break;this.heap[n]=this.heap[i],n=i}this.heap[n]=t}};function l(e,t=1){if(e.length===0)throw RangeError(`createPulse requires at least one color`);return n=>e[Math.floor(n*t)%e.length]}function u(e){if(e.length===0)throw RangeError(`createWave requires at least one color`);return(t,n,r,i)=>{let a=(n+t)%i;return e[Math.floor(a/i*e.length)]??e[0]}}function d(e,t){return e.length===t.length&&e.every((e,n)=>e===t[n])}var f=class extends e{_name;_frames;_interval;_autoplay;_backgroundColor;_parsedBackgroundColor;_color;_parsedColor;_currentFrameIndex=0;_encodedFrames={};_lib=n();_isRunning=!1;_advanceFrame=()=>{!this._isRunning||this.isDestroyed||(this._currentFrameIndex=(this._currentFrameIndex+1)%this._frames.length,this.requestRender())};_defaultOptions={name:`dots`,frames:r.dots.frames,interval:r.dots.interval,autoplay:!0,backgroundColor:`transparent`,color:`white`};constructor(e,n){super(e,n),this._name=n.name,this._frames=n.frames?.length?n.frames:this._name?r[this._name].frames:this._defaultOptions.frames,this._interval=o(n.interval??(this._name?r[this._name].interval:this._defaultOptions.interval)),this._autoplay=n.autoplay??this._defaultOptions.autoplay,this._backgroundColor=n.backgroundColor??this._defaultOptions.backgroundColor,this._parsedBackgroundColor=t(this._backgroundColor),this._color=n.color??this._defaultOptions.color,this._parsedColor=typeof this._color==`function`?t(this._defaultOptions.color):t(this._color),this.height=1,this._encodeFrames(),this._autoplay&&this.start()}_encodeFrames(){let e=0;for(let t of this._frames){if(this._encodedFrames[t])continue;let n=this._lib.encodeUnicode(t,this.ctx.widthMethod);n&&(this._encodedFrames[t]=n,e=Math.max(e,n.data.reduce((e,t)=>e+t.width,0)))}this.width=e}_freeFrames(){for(let e in this._encodedFrames)this._encodedFrames[e]&&this._lib.freeUnicode(this._encodedFrames[e]);this._encodedFrames={}}get interval(){return this._interval}set interval(e){this._interval=o(e),this._isRunning&&c.reschedule(this,this._interval)}get name(){return this._name}set name(e){let t=e?r[e].frames:this._defaultOptions.frames,n=o(e?r[e].interval:this._defaultOptions.interval),i=!d(this._frames,t),a=this._interval!==n;this._name=e,this._interval=n,i&&(this._freeFrames(),this._frames=t,this._currentFrameIndex=0,this._encodeFrames(),this.visible&&this.requestRender()),this._isRunning&&a&&c.reschedule(this,n)}get frames(){return this._frames}set frames(e){let t=e.length===0?this._defaultOptions.frames:e;if(d(this._frames,t)){this._frames=t;return}this._freeFrames(),this._frames=t,this._currentFrameIndex=0,this._encodeFrames(),this.visible&&this.requestRender()}get color(){return this._color}set color(e){this._color=e,typeof e!=`function`&&(this._parsedColor=t(e)),this.visible&&this.requestRender()}get backgroundColor(){return this._backgroundColor}set backgroundColor(e){this._backgroundColor=e,this._parsedBackgroundColor=t(e),this.visible&&this.requestRender()}get visible(){return super.visible}set visible(e){e!==super.visible&&(super.visible=e,this._isRunning&&(e?c.start(this,this._interval,this._advanceFrame):c.stop(this)))}get autoplay(){return this._autoplay}set autoplay(e){this._autoplay=e,e?this.start():this.stop()}start(){this._isRunning||this.isDestroyed||(this._isRunning=!0,this.visible&&c.start(this,this._interval,this._advanceFrame))}stop(){this._isRunning&&(this._isRunning=!1,c.stop(this))}renderSelf(e){if(!this.visible)return;let n=this._frames[this._currentFrameIndex];if(!n)return;let r=this._encodedFrames[n];if(!r)return;let i=this.x;for(let n=0;n<r.data.length;n++){let a=typeof this._color==`function`?t(this._color(this._currentFrameIndex,n,this._frames.length,r.data.length)):this._parsedColor;e.drawChar(r.data[n].char,i,this.y,a,this._parsedBackgroundColor),i+=r.data[n].width}}destroySelf(){this.stop(),this._freeFrames(),super.destroySelf()}};export{l as n,u as r,f as t};", | ||
| "import{t as e}from\"./src-DjeqLSfu.mjs\";import{extend as t}from\"@opentui/solid/components\";function n(){t({spinner:e})}n();export{n as registerSpinner};", | ||
| "import { getComponentCatalogue } from \"@opentui/solid/components\"\nimport { registerSpinner } from \"opentui-spinner/solid\"\n\nexport function registerOpencodeSpinner() {\n if (!getComponentCatalogue().spinner) registerSpinner()\n}\n" | ||
| ], | ||
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| ||
| "debugId": "09D56334DAD92E1A64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/mcp.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Mcp from \"./mcp.js\"\n\nimport { Schema } from \"effect\"\nimport { optional, PositiveInt } from \"./schema.js\"\nimport { IntegrationID } from \"./integration-id.js\"\n\nexport class TimeoutConfig extends Schema.Class<TimeoutConfig>(\"Mcp.TimeoutConfig\")({\n startup: PositiveInt.pipe(optional).annotate({\n description: \"Maximum time in milliseconds to establish and initialize the MCP server.\",\n }),\n catalog: PositiveInt.pipe(optional).annotate({\n description: \"Maximum time in milliseconds to wait for MCP discovery requests such as tools/list and prompts/list.\",\n }),\n execution: PositiveInt.pipe(optional).annotate({\n description: \"Maximum time in milliseconds to wait for MCP tool and prompt execution.\",\n }),\n}) {}\n\nexport class LocalConfig extends Schema.Class<LocalConfig>(\"Mcp.LocalConfig\")({\n type: Schema.Literal(\"local\"),\n command: Schema.String.pipe(Schema.Array),\n cwd: Schema.String.pipe(optional).annotate({\n description: \"Working directory for the MCP server process. Relative paths resolve from the workspace directory.\",\n }),\n environment: Schema.Record(Schema.String, Schema.String).pipe(optional),\n disabled: Schema.Boolean.pipe(optional),\n codemode: Schema.Boolean.pipe(optional).annotate({\n description: \"Expose this server's tools through Code Mode. Defaults to true.\",\n }),\n timeout: TimeoutConfig.pipe(optional),\n}) {}\n\nexport class OAuthConfig extends Schema.Class<OAuthConfig>(\"Mcp.OAuthConfig\")({\n client_id: Schema.String.pipe(optional),\n client_secret: Schema.String.pipe(optional),\n scope: Schema.String.pipe(optional),\n callback_port: Schema.Int.check(Schema.isBetween({ minimum: 1, maximum: 65535 })).pipe(optional),\n redirect_uri: Schema.String.pipe(optional),\n}) {}\n\nexport class RemoteConfig extends Schema.Class<RemoteConfig>(\"Mcp.RemoteConfig\")({\n type: Schema.Literal(\"remote\"),\n url: Schema.String,\n headers: Schema.Record(Schema.String, Schema.String).pipe(optional),\n oauth: Schema.Union([OAuthConfig, Schema.Literal(false)]).pipe(optional),\n disabled: Schema.Boolean.pipe(optional),\n codemode: Schema.Boolean.pipe(optional).annotate({\n description: \"Expose this server's tools through Code Mode. Defaults to true.\",\n }),\n timeout: TimeoutConfig.pipe(optional),\n}) {}\n\nexport const ServerConfig = Schema.Union([LocalConfig, RemoteConfig]).pipe(Schema.toTaggedUnion(\"type\"))\nexport type ServerConfig = typeof ServerConfig.Type\n\nconst Connected = Schema.Struct({ status: Schema.Literal(\"connected\") }).annotate({\n identifier: \"Mcp.Status.Connected\",\n})\nconst Pending = Schema.Struct({ status: Schema.Literal(\"pending\") }).annotate({\n identifier: \"Mcp.Status.Pending\",\n})\nconst Disabled = Schema.Struct({ status: Schema.Literal(\"disabled\") }).annotate({\n identifier: \"Mcp.Status.Disabled\",\n})\nconst Failed = Schema.Struct({ status: Schema.Literal(\"failed\"), error: Schema.String }).annotate({\n identifier: \"Mcp.Status.Failed\",\n})\nconst NeedsAuth = Schema.Struct({ status: Schema.Literal(\"needs_auth\") }).annotate({\n identifier: \"Mcp.Status.NeedsAuth\",\n})\n\nexport type Status = typeof Status.Type\nexport const Status = Schema.Union([Connected, Pending, Disabled, Failed, NeedsAuth]).pipe(\n Schema.toTaggedUnion(\"status\"),\n)\n\nexport interface Server extends Schema.Schema.Type<typeof Server> {}\nexport const Server = Schema.Struct({\n name: Schema.String,\n status: Status,\n // Set for remote servers registered as OAuth integrations; lets clients act on the right integration\n // without matching by name, which could collide with provider or plugin integrations.\n integrationID: optional(IntegrationID),\n}).annotate({ identifier: \"Mcp.Server\" })\n\nexport interface Resource extends Schema.Schema.Type<typeof Resource> {}\nexport const Resource = Schema.Struct({\n server: Schema.String,\n name: Schema.String,\n uri: Schema.String,\n description: optional(Schema.String),\n mimeType: optional(Schema.String),\n}).annotate({ identifier: \"Mcp.Resource\" })\n\nexport interface ResourceTemplate extends Schema.Schema.Type<typeof ResourceTemplate> {}\nexport const ResourceTemplate = Schema.Struct({\n server: Schema.String,\n name: Schema.String,\n uriTemplate: Schema.String,\n description: optional(Schema.String),\n mimeType: optional(Schema.String),\n}).annotate({ identifier: \"Mcp.ResourceTemplate\" })\n\nexport interface ResourceCatalog extends Schema.Schema.Type<typeof ResourceCatalog> {}\nexport const ResourceCatalog = Schema.Struct({\n resources: Schema.Array(Resource),\n templates: Schema.Array(ResourceTemplate),\n}).annotate({ identifier: \"Mcp.ResourceCatalog\" })\n\nexport const ResourceContentPart = Schema.Union([\n Schema.Struct({\n type: Schema.Literal(\"text\"),\n uri: Schema.String,\n text: Schema.String,\n mimeType: optional(Schema.String),\n }),\n Schema.Struct({\n type: Schema.Literal(\"blob\"),\n uri: Schema.String,\n blob: Schema.String,\n mimeType: optional(Schema.String),\n }),\n]).pipe(Schema.toTaggedUnion(\"type\"), Schema.annotate({ identifier: \"Mcp.ResourceContentPart\" }))\nexport type ResourceContentPart = typeof ResourceContentPart.Type\n\nexport interface ResourceContent extends Schema.Schema.Type<typeof ResourceContent> {}\nexport const ResourceContent = Schema.Struct({\n server: Schema.String,\n uri: Schema.String,\n contents: Schema.Array(ResourceContentPart),\n}).annotate({ identifier: \"Mcp.ResourceContent\" })\n" | ||
| ], | ||
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| "debugId": "E0657137D560DE4E64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/filesystem.ts"], | ||
| "sourcesContent": [ | ||
| "export * as FileSystem from \"./filesystem.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { NonNegativeInt, PositiveInt, RelativePath } from \"./schema.js\"\n\nconst Changed = ephemeral({\n type: \"filesystem.changed\",\n schema: {\n file: Schema.String,\n event: Schema.Literals([\"add\", \"change\", \"unlink\"]),\n },\n})\nexport const Event = { Changed, Definitions: inventory(Changed) }\n\nexport interface Entry extends Schema.Schema.Type<typeof Entry> {}\nexport const Entry = Schema.Struct({\n path: RelativePath,\n type: Schema.Literals([\"file\", \"directory\"]),\n}).annotate({ identifier: \"FileSystem.Entry\" })\n\nexport interface Submatch extends Schema.Schema.Type<typeof Submatch> {}\nexport const Submatch = Schema.Struct({\n text: Schema.String,\n start: NonNegativeInt,\n end: NonNegativeInt,\n}).annotate({ identifier: \"FileSystem.Submatch\" })\n\nexport interface Match extends Schema.Schema.Type<typeof Match> {}\nexport const Match = Schema.Struct({\n entry: Entry,\n line: PositiveInt,\n offset: NonNegativeInt,\n text: Schema.String,\n submatches: Schema.Array(Submatch),\n}).annotate({ identifier: \"FileSystem.Match\" })\n\nexport class FindInput extends Schema.Class<FindInput>(\"FileSystem.FindInput\")({\n query: Schema.String,\n type: Schema.Literals([\"file\", \"directory\"]).pipe(optional),\n limit: PositiveInt.pipe(optional),\n}) {}\n" | ||
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| "debugId": "F159596FE782599E64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../util/src/session-title-fallback.ts"], | ||
| "sourcesContent": [ | ||
| "export * as SessionTitleFallback from \"./session-title-fallback.js\"\n\nconst pattern = /^(New session|Child session) - \\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}Z$/\n\ninterface Info {\n readonly title?: string\n readonly parentID?: string\n readonly time: {\n readonly created: number\n }\n}\n\n/** Supplies the timestamped title required by compatibility surfaces. */\nexport function withTimestampedFallback(info: Info) {\n return info.title ?? fallback(info)\n}\n\n/** Supplies a compact human label and collapses historical timestamped fallbacks. */\nexport function displayLabel(info: Pick<Info, \"title\" | \"parentID\">) {\n if (!info.title) return info.parentID ? \"Child session\" : \"New session\"\n return info.title.match(pattern)?.[1] ?? info.title\n}\n\n/** Recognizes missing and historical root or child fallback titles. */\nexport function isFallbackTitle(title?: string) {\n return title === undefined || pattern.test(title)\n}\n\n/** Recognizes a missing title or the exact root fallback for this session. */\nexport function isExactRootFallback(info: Pick<Info, \"title\" | \"time\">) {\n return info.title === undefined || info.title === fallback({ time: info.time })\n}\n\nfunction fallback(info: Pick<Info, \"parentID\" | \"time\">) {\n return `${info.parentID ? \"Child\" : \"New\"} session - ${new Date(info.time.created).toISOString()}`\n}\n" | ||
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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": "79A769C3410120FC64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openrouter.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { ProviderID, type CacheHint, type ModelID } from \"../schema/index.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache.js\"\nimport { isRecord } from \"../protocols/shared.js\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\ntype OpenRouterString<Known extends string> = Known | (string & {})\n\nexport interface OpenRouterProviderRouting {\n readonly [key: string]: unknown\n readonly order?: ReadonlyArray<string>\n readonly allow_fallbacks?: boolean\n readonly require_parameters?: boolean\n readonly data_collection?: OpenRouterString<\"allow\" | \"deny\">\n readonly only?: ReadonlyArray<string>\n readonly ignore?: ReadonlyArray<string>\n readonly quantizations?: ReadonlyArray<string>\n readonly sort?: OpenRouterString<\"price\" | \"throughput\" | \"latency\">\n readonly max_price?: Readonly<{\n prompt?: number | string\n completion?: number | string\n image?: number | string\n audio?: number | string\n request?: number | string\n }>\n readonly zdr?: boolean\n}\n\nexport type OpenRouterPlugin =\n | Readonly<{\n id: \"web\"\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n | Readonly<{ id: \"file-parser\"; max_files?: number; pdf?: { engine?: string } }>\n | Readonly<{ id: \"moderation\" }>\n | Readonly<{ id: \"response-healing\" }>\n | Readonly<{ id: \"auto-router\"; allowed_models?: ReadonlyArray<string> }>\n | Readonly<{ id: string & {}; [key: string]: unknown }>\n\nexport interface OpenRouterOptions {\n readonly [key: string]: unknown\n readonly debug?: Readonly<{ echo_upstream_body?: boolean }>\n readonly models?: ReadonlyArray<string>\n readonly plugins?: ReadonlyArray<OpenRouterPlugin>\n readonly provider?: OpenRouterProviderRouting\n readonly reasoning?: Readonly<{\n enabled?: boolean\n exclude?: boolean\n effort?: OpenRouterString<\"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\">\n max_tokens?: number\n }>\n readonly usage?: boolean | Readonly<{ include: boolean }>\n readonly user?: string\n readonly web_search_options?: Readonly<{\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n}\n\nexport type OpenRouterProviderOptionsInput = OpenRouterOptions\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n}\n\nconst OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [\n Schema.Record(Schema.String, Schema.Any),\n])\nexport type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>\n\nexport const protocol = Protocol.make({\n id: \"openrouter-chat\",\n body: {\n schema: OpenRouterBody,\n from: (request) =>\n OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(\n Effect.map((body) => {\n const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n let assistantIndex = 0\n const messages = body.messages.map((message) => {\n if (message.role !== \"assistant\") return message\n const source = sourceAssistants[assistantIndex++]\n const reasoning = source?.content\n .filter((part) => part.type === \"reasoning\")\n .map((part) => part.text)\n .join(\"\")\n const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n return {\n ...message,\n reasoning_content: undefined,\n reasoning_text: undefined,\n reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n reasoning_details: reasoningDetails,\n }\n })\n return {\n ...body,\n messages,\n ...bodyOptions(request.providerOptions),\n ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\n } as OpenRouterBody\n }),\n ),\n },\n stream: OpenAIChat.protocol.stream,\n})\n\nconst cacheControl = () => {\n const breakpoints = newBreakpoints(4)\n return (cache: CacheHint | undefined) => {\n if (cache === undefined || breakpoints.remaining === 0) return undefined\n breakpoints.remaining -= 1\n return {\n type: \"ephemeral\" as const,\n ...(ttlBucket(cache.ttlSeconds) === \"1h\" ? { ttl: \"1h\" } : {}),\n }\n }\n}\n\nconst bodyOptions = (input: unknown) => {\n const openrouter = isRecord(input) ? input : {}\n const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =\n openrouter\n return {\n ...options,\n ...(usage === undefined || usage === true\n ? { usage: { include: true } }\n : usage === false\n ? { usage: { include: false } }\n : isRecord(usage)\n ? { usage }\n : {}),\n ...(Array.isArray(models) ? { models } : {}),\n ...(isRecord(provider) ? { provider } : {}),\n ...(Array.isArray(plugins) ? { plugins } : {}),\n ...(isRecord(web_search_options) ? { web_search_options } : {}),\n ...(isRecord(debug) ? { debug } : {}),\n ...(typeof user === \"string\" ? { user } : {}),\n ...(isRecord(reasoning) ? { reasoning } : {}),\n }\n}\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: profile.provider,\n protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return route.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? profile.baseURL },\n auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n" | ||
| ], | ||
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| "debugId": "3C2E1E2D376C4D5064756E2164756E21", | ||
| "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: ${configPath}`)\n if (configured(plugins, spec)) return false\n\n const updated = applyEdits(\n text,\n modify(text, [\"plugins\"], [...(plugins ?? []), spec], { formattingOptions: { tabSize: 2, insertSpaces: true } }),\n )\n await mkdir(path.dirname(configPath), { recursive: true })\n const temporary = configPath + \".tmp\"\n await writeFile(temporary, updated.endsWith(\"\\n\") ? updated : updated + \"\\n\", { mode: 0o600 })\n await rename(temporary, configPath)\n return true\n}\n\nfunction configured(plugins: readonly unknown[] | undefined, spec: string) {\n return plugins?.some(\n (entry) =>\n entry === spec || (typeof entry === \"object\" && entry !== null && \"package\" in entry && entry.package === spec),\n )\n}\n" | ||
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| "debugId": "CAB82E072995FE1C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/string-width.bun.ts", "../tui/src/util/locale.ts"], | ||
| "sourcesContent": [ | ||
| "export const stringWidth = Bun.stringWidth\n", | ||
| "import { stringWidth } from \"./string-width\"\n\nexport function titlecase(str: string) {\n return str.replace(/\\b\\w/g, (c) => c.toUpperCase())\n}\n\nexport function time(input: number): string {\n const date = new Date(input)\n return date.toLocaleTimeString(undefined, { timeStyle: \"short\" })\n}\n\nexport function datetime(input: number): string {\n const date = new Date(input)\n const localTime = time(input)\n const localDate = date.toLocaleDateString()\n return `${localTime} · ${localDate}`\n}\n\nexport function number(num: number): string {\n if (num >= 1000000) {\n return (num / 1000000).toFixed(1) + \"M\"\n } else if (num >= 1000) {\n return (num / 1000).toFixed(1) + \"K\"\n }\n return num.toString()\n}\n\nexport function duration(input: number) {\n if (input < 1000) {\n return `${input}ms`\n }\n if (input < 60000) {\n return `${(input / 1000).toFixed(1)}s`\n }\n if (input < 3600000) {\n const minutes = Math.floor(input / 60000)\n const seconds = Math.floor((input % 60000) / 1000)\n return `${minutes}m ${seconds}s`\n }\n if (input < 86400000) {\n const hours = Math.floor(input / 3600000)\n const minutes = Math.floor((input % 3600000) / 60000)\n return `${hours}h ${minutes}m`\n }\n const days = Math.floor(input / 86400000)\n const hours = Math.floor((input % 86400000) / 3600000)\n return `${days}d ${hours}h`\n}\n\nexport function truncate(str: string, len: number): string {\n if (str.length <= len) return str\n return str.slice(0, len - 1) + \"…\"\n}\n\nconst graphemeSegmenter = new Intl.Segmenter(undefined, { granularity: \"grapheme\" })\n\nexport function graphemes(str: string) {\n return Array.from(graphemeSegmenter.segment(str), (item) => item.segment)\n}\n\nexport function takeWidth(str: string, width: number) {\n if (width <= 0) return \"\"\n if (stringWidth(str) <= width) return str\n\n const result: string[] = []\n let used = 0\n for (const segment of graphemes(str)) {\n const next = stringWidth(segment)\n if (used + next > width) break\n result.push(segment)\n used += next\n }\n return result.join(\"\")\n}\n\nexport function truncateWidth(str: string, width: number): string {\n if (width <= 0) return \"\"\n if (stringWidth(str) <= width) return str\n if (width === 1) return \"…\"\n return takeWidth(str, width - 1) + \"…\"\n}\n\nexport function truncateLeft(str: string, len: number): string {\n if (str.length <= len) return str\n return \"…\" + str.slice(-(len - 1))\n}\n\nexport function truncateMiddle(str: string, maxLength: number = 35): string {\n if (str.length <= maxLength) return str\n\n const ellipsis = \"…\"\n const keepStart = Math.ceil((maxLength - ellipsis.length) / 2)\n const keepEnd = Math.floor((maxLength - ellipsis.length) / 2)\n\n return str.slice(0, keepStart) + ellipsis + str.slice(-keepEnd)\n}\n\nexport * as Locale from \"./locale\"\n" | ||
| ], | ||
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| "debugId": "B10A9CAB070A7DB864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/tool.ts", "../schema/src/llm.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Tool from \"./tool.js\"\n\nimport { Effect, JsonSchema, Schema } from \"effect\"\nimport type { StandardJSONSchemaV1, StandardSchemaV1 } from \"@standard-schema/spec\"\nimport type { Agent } from \"./agent.js\"\nimport type { Session } from \"./session.js\"\nimport type { SessionMessage } from \"./session-message.js\"\n\nexport type Metadata = Readonly<Record<string, any>>\n\nexport const CallID = Schema.String.pipe(Schema.brand(\"Tool.CallID\"))\nexport type CallID = typeof CallID.Type\n\nexport interface Context {\n readonly sessionID: Session.ID\n readonly agent: Agent.ID\n readonly messageID: SessionMessage.ID\n readonly id: CallID\n readonly progress: (update: Metadata) => Effect.Effect<void>\n}\n\ninterface BaseOptions {\n readonly namespace?: string\n readonly permission?: string\n}\n\nexport type Options = BaseOptions &\n (\n | {\n readonly codemode?: true\n readonly pinned?: boolean\n }\n | {\n readonly codemode: boolean\n readonly pinned?: never\n }\n )\n\nexport type ValueSchema<A = unknown> =\n | Schema.Codec<A, any>\n | (StandardSchemaV1<any, A> & StandardJSONSchemaV1<any, A>)\n | JsonSchema.JsonSchema\n\ntype InputValue<S> = 0 extends 1 & S\n ? any\n : S extends Schema.Codec<infer A, any>\n ? A\n : S extends StandardSchemaV1<any, infer A>\n ? A\n : unknown\ntype OutputValue<S> = S extends undefined\n ? never\n : S extends Schema.Codec<infer A, any>\n ? A\n : S extends StandardSchemaV1<infer A, any>\n ? A\n : any\n\nexport class Error extends Schema.TaggedError<Error>()(\"Tool.Error\", {\n message: Schema.String,\n error: Schema.optional(Schema.Defect()),\n metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport interface TextContent extends Schema.Schema.Type<typeof TextContent> {}\nexport const TextContent = Schema.Struct({\n type: Schema.Literal(\"text\"),\n text: Schema.String,\n}).annotate({ identifier: \"Tool.TextContent\" })\n\nexport interface FileContent extends Schema.Schema.Type<typeof FileContent> {}\nexport const FileContent = Schema.Struct({\n type: Schema.Literal(\"file\"),\n uri: Schema.String,\n mime: Schema.String,\n name: Schema.optional(Schema.String),\n}).annotate({ identifier: \"Tool.FileContent\" })\n\nexport const Content = Schema.Union([TextContent, FileContent])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Tool.Content\" })\nexport type Content = Schema.Schema.Type<typeof Content>\n\nexport interface Result<Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined> {\n readonly output?: OutputValue<Output>\n readonly content?: string | ReadonlyArray<Content>\n readonly metadata?: Metadata\n}\n\nexport type Info<\n Input extends ValueSchema<any> = ValueSchema<any>,\n Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined,\n> = {\n readonly name: string\n readonly input: Input\n readonly description: string\n readonly execute: (input: InputValue<Input>, context: Context) => Effect.Effect<Result<Output>, Error>\n readonly output?: Output\n readonly options?: Options\n}\n", | ||
| "export * as LLM from \"./llm.js\"\n\nimport { Schema } from \"effect\"\n\nexport const FinishReason = Schema.Literals([\"stop\", \"length\", \"tool-calls\", \"content-filter\", \"error\", \"unknown\"])\nexport type FinishReason = typeof FinishReason.Type\n" | ||
| ], | ||
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| "debugId": "ECD73F973C136C4564756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/session-transfer.ts"], | ||
| "sourcesContent": [ | ||
| "export * as SessionTransfer from \"./session-transfer.js\"\n\nimport { Schema } from \"effect\"\nimport { Session } from \"./session.js\"\nimport { SessionMessage } from \"./session-message.js\"\n\nexport interface Data extends Schema.Schema.Type<typeof Data> {}\nexport const Data = Schema.Struct({\n info: Session.Info,\n messages: Schema.Array(SessionMessage.Info),\n}).annotate({ identifier: \"SessionTransfer.Data\" })\n" | ||
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| "debugId": "A13C36E37D6595E964756E2164756E21", | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/util/io.ts", "src/session-target.ts"], | ||
| "sourcesContent": [ | ||
| "import { text } from \"node:stream/consumers\"\n\nexport function readStdin() {\n return text(process.stdin)\n}\n", | ||
| "import type { LocationGetOutput, ModelRef, OpenCodeClient, SessionInfo } from \"@opencode-ai/client/promise\"\nimport { Model } from \"@opencode-ai/schema/model\"\n\nconst SESSION_PAGE_LIMIT = 50\n\nexport type SessionTarget = {\n session: SessionInfo\n location: LocationGetOutput\n model: ModelRef | undefined\n agent: string | undefined\n resume: boolean\n}\n\nexport type SessionTargetPreparation = (input: {\n client: OpenCodeClient\n location: LocationGetOutput\n session: SessionInfo | undefined\n model: ModelRef | undefined\n agent: string | undefined\n signal?: AbortSignal\n}) => Promise<{ model: ModelRef | undefined; agent: string | undefined }>\n\nexport class SessionTargetMutationError extends Error {\n override readonly name = \"SessionTargetMutationError\"\n\n constructor(cause: unknown) {\n super(cause instanceof Error ? cause.message : \"Session target mutation failed\", { cause })\n }\n}\n\nexport async function resolveSessionTarget(input: {\n client: OpenCodeClient\n location?: { directory?: string; workspace?: string }\n continue?: boolean\n session?: string\n fork?: boolean\n model?: ModelRef\n agent?: string\n environment?: Readonly<Record<string, string>>\n prepare: SessionTargetPreparation\n signal?: AbortSignal\n}): Promise<SessionTarget> {\n const selection = await selectSession(input)\n const selected = selection.session\n const location =\n selection.location ??\n (await resolveLocation(\n input.client,\n selected ? { directory: selected.location.directory, workspace: selected.location.workspaceID } : input.location,\n input.signal,\n ))\n const prepared = await input.prepare({\n client: input.client,\n location,\n session: selected,\n model: input.model ?? selected?.model,\n agent: input.agent ?? selected?.agent,\n signal: input.signal,\n })\n const session =\n selected ??\n (await input.client.session\n .create(\n {\n agent: prepared.agent,\n model: prepared.model,\n location: { directory: location.directory, workspaceID: location.workspaceID },\n },\n ...requestOptions(input.signal),\n )\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n }))\n if (input.environment !== undefined && location.workspaceID === undefined)\n await input.client.session\n .environment({ sessionID: session.id, variables: input.environment }, ...requestOptions(input.signal))\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n })\n return {\n session,\n location,\n model: prepared.model,\n agent: prepared.agent ?? session.agent,\n resume: selected !== undefined,\n }\n}\n\nexport function parseSessionTargetModel(value?: string): ModelRef | undefined {\n if (!value) return\n const model = Model.Ref.parse(value)\n return { providerID: model.providerID, id: model.id, variant: model.variant }\n}\n\nasync function selectSession(input: {\n client: OpenCodeClient\n location?: { directory?: string; workspace?: string }\n continue?: boolean\n session?: string\n fork?: boolean\n signal?: AbortSignal\n}) {\n const explicit = input.session\n ? await input.client.session.get({ sessionID: input.session }, ...requestOptions(input.signal)).catch((error) => {\n if (error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"SessionNotFoundError\")\n return undefined\n throw error\n })\n : undefined\n if (input.session && !explicit) throw new Error(\"Session not found\")\n if (explicit)\n return {\n session: input.fork\n ? await input.client.session\n .fork({ sessionID: explicit.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n })\n : explicit,\n }\n if (!input.continue) return { session: undefined }\n\n const location = await resolveLocation(input.client, input.location, input.signal)\n const selected = await latestSession(input.client, location, undefined, input.signal)\n if (!selected) return { session: undefined, location }\n return {\n session: input.fork\n ? await input.client.session\n .fork({ sessionID: selected.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n })\n : selected,\n }\n}\n\nasync function latestSession(\n client: OpenCodeClient,\n location: LocationGetOutput,\n cursor?: string,\n signal?: AbortSignal,\n): Promise<SessionInfo | undefined> {\n const page = await client.session.list(\n {\n directory: location.directory,\n workspace: location.workspaceID,\n parentID: null,\n limit: SESSION_PAGE_LIMIT,\n order: \"desc\",\n ...(cursor ? { cursor } : {}),\n },\n ...requestOptions(signal),\n )\n const selected = page.data.find(\n (session) =>\n session.location.directory === location.directory && session.location.workspaceID === location.workspaceID,\n )\n if (selected) return selected\n if (!page.cursor.next || page.data.length === 0) return\n return latestSession(client, location, page.cursor.next, signal)\n}\n\nfunction resolveLocation(\n client: OpenCodeClient,\n location?: { directory?: string; workspace?: string },\n signal?: AbortSignal,\n) {\n if (!location && !signal) return client.location.get()\n if (!location) return client.location.get(undefined, { signal })\n return client.location.get({ location }, ...requestOptions(signal))\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n return signal ? [{ signal }] : []\n}\n" | ||
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| "debugId": "FEF70382707F3E0264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/prompt/display.ts"], | ||
| "sourcesContent": [ | ||
| "import { stringWidth } from \"../util/string-width\"\n\nconst graphemes = new Intl.Segmenter(undefined, { granularity: \"grapheme\" })\n\nexport function promptOffsetWidth(value: string) {\n let width = 0\n for (const part of graphemes.segment(value)) {\n // Textarea offsets count newlines as one position; terminal width counts them as zero.\n width += part.segment === \"\\n\" ? 1 : stringWidth(part.segment)\n }\n return width\n}\n\nfunction displayOffsetIndex(value: string, offset: number) {\n if (offset <= 0) return 0\n\n let width = 0\n for (const part of graphemes.segment(value)) {\n const next = width + promptOffsetWidth(part.segment)\n if (next > offset) return part.index\n width = next\n }\n\n return value.length\n}\n\nexport function displaySlice(value: string, start = 0, end = promptOffsetWidth(value)) {\n return value.slice(displayOffsetIndex(value, start), displayOffsetIndex(value, end))\n}\n\nexport function displayCharAt(value: string, offset: number) {\n let width = 0\n for (const part of graphemes.segment(value)) {\n const next = width + promptOffsetWidth(part.segment)\n if (offset === width || offset < next) return part.segment\n width = next\n }\n}\n\nexport function mentionTriggerIndex(value: string, offset = promptOffsetWidth(value)) {\n const text = displaySlice(value, 0, offset)\n const index = text.lastIndexOf(\"@\")\n if (index === -1) return\n\n const before = index === 0 ? undefined : text[index - 1]\n const query = text.slice(index)\n if ((before === undefined || /\\s/.test(before)) && !/\\s/.test(query)) {\n return promptOffsetWidth(text.slice(0, index))\n }\n}\n\nexport function slashTriggerIndex(value: string, offset = promptOffsetWidth(value)) {\n const text = displaySlice(value, 0, offset)\n for (let index = text.lastIndexOf(\"/\"); index >= 0; index = text.lastIndexOf(\"/\", index - 1)) {\n const before = index === 0 ? undefined : text[index - 1]\n const query = text.slice(index)\n if (before !== undefined && !/\\s/.test(before)) continue\n if (/\\s/.test(query) || query.slice(1).includes(\"/\")) return\n return promptOffsetWidth(text.slice(0, index))\n }\n}\n" | ||
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| "debugId": "709B8C3D24E2052B64756E2164756E21", | ||
| "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": "01D08756EBCDE32064756E2164756E21", | ||
| "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": "75560BA09CCF8FD764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/workspace-event.ts"], | ||
| "sourcesContent": [ | ||
| "export * as WorkspaceEvent from \"./workspace-event.js\"\n\nimport { Schema } from \"effect\"\nimport { Event } from \"./event.js\"\nimport { WorkspaceID } from \"./workspace-id.js\"\n\nexport const ConnectionStatus = Schema.Struct({\n workspaceID: WorkspaceID,\n status: Schema.Literals([\"connected\", \"connecting\", \"disconnected\", \"error\"]),\n}).annotate({ identifier: \"WorkspaceEvent.ConnectionStatus\" })\nexport interface ConnectionStatus extends Schema.Schema.Type<typeof ConnectionStatus> {}\n\nexport const Ready = Event.ephemeral({\n type: \"workspace.ready\",\n schema: {\n name: Schema.String,\n },\n})\n\nexport const Failed = Event.ephemeral({\n type: \"workspace.failed\",\n schema: {\n message: Schema.String,\n },\n})\n\nexport const Status = Event.ephemeral({\n type: \"workspace.status\",\n schema: ConnectionStatus.fields,\n})\n\nexport const Definitions = Event.inventory(Ready, Failed, Status)\n" | ||
| ], | ||
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| "debugId": "3220540AB2661FDF64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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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| { | ||
| "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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| { | ||
| "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": "1B8EC96010D19BAE64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": ["../schema/src/file-diff.ts", "../schema/src/session-revert.ts", "../schema/src/session-fork.ts", "../schema/src/instruction.ts", "../schema/src/session-inbox.ts", "../schema/src/session-event.ts"], | ||
| "sourcesContent": [ | ||
| "export * as FileDiff from \"./file-diff.js\"\n\nimport { Schema } from \"effect\"\nimport { NonNegativeInt, optional } from \"./schema.js\"\n\nexport const Info = Schema.Struct({\n file: Schema.String,\n patch: Schema.String,\n additions: NonNegativeInt,\n deletions: NonNegativeInt,\n status: Schema.Literals([\"added\", \"deleted\", \"modified\"]),\n}).annotate({ identifier: \"FileDiff.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\n/** V1 snapshot and persisted session diff shape. */\nexport const LegacyInfo = Schema.Struct({\n file: Schema.String.pipe(optional),\n patch: Schema.String.pipe(optional),\n additions: Schema.Finite,\n deletions: Schema.Finite,\n status: Schema.Literals([\"added\", \"deleted\", \"modified\"]).pipe(optional),\n}).annotate({ identifier: \"FileDiff.LegacyInfo\" })\nexport interface LegacyInfo extends Schema.Schema.Type<typeof LegacyInfo> {}\n", | ||
| "import { Schema, SchemaTransformation } from \"effect\"\nimport { FileDiff } from \"./file-diff.js\"\nimport { optional } from \"./schema.js\"\nimport { SessionMessage } from \"./session-message.js\"\nimport { Snapshot } from \"./snapshot.js\"\n\nexport interface Revert extends Schema.Schema.Type<typeof Revert> {}\nexport const Revert = Schema.Struct({\n messageID: SessionMessage.ID,\n /** Legacy V1 compatibility state. */\n partID: Schema.String.pipe(optional),\n snapshot: Snapshot.ID.pipe(optional),\n files: Schema.Array(FileDiff.Info).pipe(optional),\n}).annotate({ identifier: \"Session.Revert\" })\n\nconst FileDiffV1 = Schema.Struct({\n path: Schema.String,\n status: Schema.Literals([\"added\", \"modified\", \"deleted\"]),\n additions: Schema.Finite,\n deletions: Schema.Finite,\n patch: Schema.String,\n})\n\nexport interface RevertV1 extends Schema.Schema.Type<typeof RevertV1> {}\nexport const RevertV1 = Schema.Struct({\n messageID: SessionMessage.ID,\n partID: Schema.String.pipe(optional),\n snapshot: Schema.String.pipe(optional),\n diff: Schema.String.pipe(optional),\n files: Schema.Array(FileDiffV1).pipe(optional),\n}).annotate({ identifier: \"Session.RevertV1\" })\n\nconst PersistedCurrent = Revert.pipe(\n Schema.decodeTo(\n Schema.Struct({ source: Schema.tag(\"current\"), revert: Schema.toType(Revert) }),\n SchemaTransformation.transform({\n decode: (revert): { readonly source: \"current\"; readonly revert: Revert } => ({\n source: \"current\",\n revert,\n }),\n encode: (value) => value.revert,\n }),\n ),\n)\nconst PersistedLegacy = RevertV1.pipe(\n Schema.decodeTo(\n Schema.Struct({ source: Schema.tag(\"legacy\"), revert: Schema.toType(RevertV1) }),\n SchemaTransformation.transform({\n decode: (revert): { readonly source: \"legacy\"; readonly revert: RevertV1 } => ({\n source: \"legacy\",\n revert,\n }),\n encode: (value) => value.revert,\n }),\n ),\n)\n\n/** Storage decoder for revert state written before FileDiff became canonical. */\nexport const PersistedRevert = Schema.Union([PersistedCurrent, PersistedLegacy]).pipe(\n Schema.toTaggedUnion(\"source\"),\n Schema.decodeTo(\n Schema.toType(Revert),\n SchemaTransformation.transform({\n decode: (persisted): Revert => {\n if (persisted.source === \"current\") return persisted.revert\n return Revert.make({\n messageID: persisted.revert.messageID,\n partID: persisted.revert.partID,\n snapshot: persisted.revert.snapshot ? Snapshot.ID.make(persisted.revert.snapshot) : undefined,\n files: persisted.revert.files?.map((file) => ({\n file: file.path,\n status: file.status,\n additions: file.additions,\n deletions: file.deletions,\n patch: file.patch,\n })),\n })\n },\n encode: (revert): { readonly source: \"current\"; readonly revert: Revert } => ({\n source: \"current\",\n revert,\n }),\n }),\n ),\n Schema.annotate({ identifier: \"Session.Revert.Persisted\" }),\n)\n", | ||
| "export * as SessionFork from \"./session-fork.js\"\n\nimport { Schema } from \"effect\"\nimport { SessionMessage } from \"./session-message.js\"\n\nexport const Boundary = Schema.Union([\n Schema.Struct({ type: Schema.Literal(\"before\"), messageID: SessionMessage.ID }),\n Schema.Struct({ type: Schema.Literal(\"through\"), messageID: SessionMessage.ID }),\n]).annotate({ identifier: \"Session.ForkBoundary\" })\nexport type Boundary = typeof Boundary.Type\n\nexport const RequestBoundary = Schema.Union([\n Schema.Struct({ type: Schema.Literal(\"before\"), messageID: SessionMessage.ID }),\n Schema.Struct({ type: Schema.Literal(\"through\") }),\n]).annotate({ identifier: \"Session.ForkRequestBoundary\" })\nexport type RequestBoundary = typeof RequestBoundary.Type\n", | ||
| "export * as Instruction from \"./instruction.js\"\n\nimport { Schema } from \"effect\"\n\nexport const Key = Schema.String.check(Schema.isPattern(/^[a-z0-9][a-z0-9._-]*\\/[a-z0-9][a-z0-9._/-]*$/)).pipe(\n Schema.brand(\"Instruction.Key\"),\n)\nexport type Key = typeof Key.Type\n\nexport const Hash = Schema.String.check(Schema.isPattern(/^[a-f0-9]{64}$/)).pipe(Schema.brand(\"Instruction.Hash\"))\nexport type Hash = typeof Hash.Type\n\nexport const Values = Schema.Record(Key, Hash)\nexport type Values = Readonly<Record<string, Hash>>\n\nexport const Removed = Schema.Literal(\"removed\")\nexport type Removed = typeof Removed.Type\nexport const removed = Removed.make(\"removed\")\n\nexport const Delta = Schema.Record(Schema.String, Schema.Union([Hash, Removed]))\nexport type Delta = typeof Delta.Type\n", | ||
| "export * as SessionInbox from \"./session-inbox.js\"\n\nimport { Schema } from \"effect\"\nimport { Location } from \"./location.js\"\nimport { Project } from \"./project.js\"\nimport { Prompt } from \"./prompt.js\"\nimport { DateTimeUtcFromMillis, optional, RelativePath } from \"./schema.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { SessionMessage } from \"./session-message.js\"\n\nexport const Delivery = Schema.Literals([\"steer\", \"queue\"]).annotate({ identifier: \"Session.Inbox.Delivery\" })\nexport type Delivery = typeof Delivery.Type\n\nexport interface UserPayload extends Schema.Schema.Type<typeof UserPayload> {}\nexport const UserPayload = Schema.Struct({\n ...Prompt.fields,\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n}).annotate({ identifier: \"Session.Inbox.UserPayload\" })\n\nexport interface SyntheticPayload extends Schema.Schema.Type<typeof SyntheticPayload> {}\nexport const SyntheticPayload = Schema.Struct({\n text: Schema.String,\n description: Schema.String.pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n}).annotate({ identifier: \"Session.Inbox.SyntheticPayload\" })\n\nexport interface CompactionPayload extends Schema.Schema.Type<typeof CompactionPayload> {}\nexport const CompactionPayload = Schema.Struct({}).annotate({ identifier: \"Session.Inbox.CompactionPayload\" })\n\nexport interface MovePayload extends Schema.Schema.Type<typeof MovePayload> {}\nexport const MovePayload = Schema.Struct({\n location: Location.Ref,\n projectID: Project.ID,\n subpath: RelativePath.pipe(optional),\n}).annotate({ identifier: \"Session.Inbox.MovePayload\" })\n\nconst UserItem = Schema.Struct({ type: Schema.tag(\"user\"), payload: UserPayload, delivery: Delivery })\nconst SyntheticItem = Schema.Struct({ type: Schema.tag(\"synthetic\"), payload: SyntheticPayload, delivery: Delivery })\nconst CompactionItem = Schema.Struct({\n type: Schema.tag(\"compaction\"),\n payload: CompactionPayload,\n delivery: Delivery,\n})\nconst MoveItem = Schema.Struct({ type: Schema.tag(\"move\"), payload: MovePayload, delivery: Delivery })\n\nexport const Item = Schema.Union([UserItem, SyntheticItem, CompactionItem, MoveItem]).pipe(\n Schema.toTaggedUnion(\"type\"),\n Schema.annotate({ identifier: \"Session.Inbox.Item\" }),\n)\nexport type Item = typeof Item.Type\n\nconst Enqueued = {\n id: SessionMessage.ID,\n sessionID: SessionID,\n timeCreated: DateTimeUtcFromMillis,\n}\n\nexport interface User extends Schema.Schema.Type<typeof User> {}\nexport const User = Schema.Struct({ ...Enqueued, ...UserItem.fields }).annotate({ identifier: \"Session.Inbox.User\" })\n\nexport interface Synthetic extends Schema.Schema.Type<typeof Synthetic> {}\nexport const Synthetic = Schema.Struct({ ...Enqueued, ...SyntheticItem.fields }).annotate({\n identifier: \"Session.Inbox.Synthetic\",\n})\n\nexport interface Compaction extends Schema.Schema.Type<typeof Compaction> {}\nexport const Compaction = Schema.Struct({ ...Enqueued, ...CompactionItem.fields }).annotate({\n identifier: \"Session.Inbox.Compaction\",\n})\n\nexport interface Move extends Schema.Schema.Type<typeof Move> {}\nexport const Move = Schema.Struct({ ...Enqueued, ...MoveItem.fields }).annotate({ identifier: \"Session.Inbox.Move\" })\n\nexport const Info = Schema.Union([User, Synthetic, Compaction, Move]).pipe(\n Schema.toTaggedUnion(\"type\"),\n Schema.annotate({ identifier: \"Session.Inbox.Info\" }),\n)\nexport type Info = typeof Info.Type\n", | ||
| "export * as SessionEvent from \"./session-event.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { Event } from \"./event.js\"\nimport { FinishReason } from \"./llm.js\"\nimport { Content } from \"./tool.js\"\nimport { Model } from \"./model.js\"\nimport { NonNegativeInt, PositiveInt, RelativePath } from \"./schema.js\"\nimport { FileAttachment } from \"./prompt.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { Location } from \"./location.js\"\nimport { SessionMessage } from \"./session-message.js\"\nimport { Revert } from \"./session-revert.js\"\nimport { Shell as ShellSchema } from \"./shell.js\"\nimport { SessionError } from \"./session-error.js\"\nimport { Instruction } from \"./instruction.js\"\nimport { Agent } from \"./agent.js\"\nimport { Skill as SkillSchema } from \"./skill.js\"\nimport { Money } from \"./money.js\"\nimport { Snapshot } from \"./snapshot.js\"\nimport { TokenUsage } from \"./token-usage.js\"\nimport { SessionInbox } from \"./session-inbox.js\"\nimport { Project } from \"./project.js\"\nimport { SessionFork } from \"./session-fork.js\"\n\nexport { FileAttachment }\n\nexport const Source = Schema.Struct({\n start: NonNegativeInt,\n end: NonNegativeInt,\n text: Schema.String,\n}).annotate({\n identifier: \"Session.Event.Source\",\n})\nexport interface Source extends Schema.Schema.Type<typeof Source> {}\n\nconst Base = {\n sessionID: SessionID,\n}\n\nconst options = {\n durable: {\n aggregate: \"sessionID\",\n version: 1,\n },\n} as const\nexport const Created = Event.durable({\n type: \"session.created\",\n ...options,\n schema: {\n ...Base,\n projectID: Project.ID,\n location: Location.Ref,\n subpath: RelativePath.pipe(optional),\n parentID: SessionID.pipe(optional),\n slug: Schema.String,\n title: Schema.String.pipe(optional),\n agent: Agent.ID.pipe(optional),\n model: Model.Ref.pipe(optional),\n version: Schema.String,\n },\n})\nexport type Created = typeof Created.Type\n\nexport const AgentSelected = Event.durable({\n type: \"session.agent.selected\",\n ...options,\n schema: {\n ...Base,\n agent: Agent.ID,\n previous: Agent.ID.pipe(optional),\n },\n})\nexport type AgentSelected = typeof AgentSelected.Type\n\nexport const ModelSelected = Event.durable({\n type: \"session.model.selected\",\n ...options,\n schema: {\n ...Base,\n model: Model.Ref,\n previous: Model.Ref.pipe(optional),\n },\n})\nexport type ModelSelected = typeof ModelSelected.Type\n\nexport const Moved = Event.durable({\n type: \"session.moved\",\n ...options,\n schema: {\n ...Base,\n ...SessionInbox.MovePayload.fields,\n },\n})\nexport type Moved = typeof Moved.Type\n\nexport const Renamed = Event.durable({\n type: \"session.renamed\",\n ...options,\n schema: {\n ...Base,\n title: Schema.String,\n },\n})\nexport type Renamed = typeof Renamed.Type\n\nexport const UsageRecorded = Event.durable({\n type: \"session.usage.recorded\",\n ...options,\n schema: {\n ...Base,\n source: Schema.Literals([\"title\", \"compaction\"]),\n cost: Money.USD,\n tokens: TokenUsage.Info,\n },\n})\nexport type UsageRecorded = typeof UsageRecorded.Type\n\nexport const UsageUpdated = Event.ephemeral({\n type: \"session.usage.updated\",\n schema: {\n ...Base,\n cost: Money.USD,\n tokens: TokenUsage.Info,\n },\n})\nexport type UsageUpdated = typeof UsageUpdated.Type\n\nexport const Deleted = Event.durable({\n type: \"session.deleted\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: Base,\n})\nexport type Deleted = typeof Deleted.Type\n\nexport const Forked = Event.durable({\n type: \"session.forked\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...Base,\n parentID: SessionID,\n boundary: SessionFork.Boundary,\n instructions: Instruction.Values.pipe(optional),\n },\n})\nexport type Forked = typeof Forked.Type\n\nconst InboxRef = {\n ...Base,\n inboxID: SessionMessage.ID,\n}\n\nexport const InboxDelivered = Event.durable({\n type: \"session.inbox.delivered\",\n ...options,\n schema: InboxRef,\n})\nexport type InboxDelivered = typeof InboxDelivered.Type\n\nexport const InboxEnqueued = Event.durable({\n type: \"session.inbox.enqueued\",\n ...options,\n schema: {\n ...InboxRef,\n item: SessionInbox.Item,\n },\n})\nexport type InboxEnqueued = typeof InboxEnqueued.Type\n\nexport const InboxCancelled = Event.durable({\n type: \"session.inbox.cancelled\",\n ...options,\n schema: InboxRef,\n})\nexport type InboxCancelled = typeof InboxCancelled.Type\n\nexport const InboxDeliveryChanged = Event.durable({\n type: \"session.inbox.delivery.changed\",\n ...options,\n schema: { ...InboxRef, delivery: SessionInbox.Delivery },\n})\nexport type InboxDeliveryChanged = typeof InboxDeliveryChanged.Type\n\nexport namespace Execution {\n export const Started = Event.durable({ type: \"session.execution.started\", ...options, schema: Base })\n export type Started = typeof Started.Type\n\n export const Succeeded = Event.durable({ type: \"session.execution.succeeded\", ...options, schema: Base })\n export type Succeeded = typeof Succeeded.Type\n\n export const Failed = Event.durable({\n type: \"session.execution.failed\",\n ...options,\n schema: { ...Base, error: SessionError.Error },\n })\n export type Failed = typeof Failed.Type\n\n export const Interrupted = Event.durable({\n type: \"session.execution.interrupted\",\n ...options,\n schema: { ...Base, reason: Schema.Literals([\"user\", \"shutdown\", \"superseded\"]) },\n })\n export type Interrupted = typeof Interrupted.Type\n}\n\nexport const InstructionsUpdated = Event.durable({\n type: \"session.instructions.updated\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...Base,\n delta: Instruction.Delta,\n /**\n * The rendered chronological update shown to the model, frozen at emit time.\n * Absent for the initial baseline observation and for deltas that render empty.\n */\n text: Schema.String.pipe(optional),\n },\n})\nexport type InstructionsUpdated = typeof InstructionsUpdated.Type\n\nexport const Synthetic = Event.durable({\n type: \"session.synthetic\",\n ...options,\n schema: {\n ...Base,\n text: Schema.String,\n description: Schema.String.pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n },\n})\nexport type Synthetic = typeof Synthetic.Type\n\nexport namespace Skill {\n export const Activated = Event.durable({\n type: \"session.skill.activated\",\n ...options,\n schema: {\n ...Base,\n id: SkillSchema.ID,\n name: SkillSchema.Name,\n text: Schema.String,\n },\n })\n export type Activated = typeof Activated.Type\n}\n\nexport namespace Shell {\n export const Started = Event.durable({\n type: \"session.shell.started\",\n ...options,\n schema: {\n ...Base,\n shell: ShellSchema.Info,\n },\n })\n export type Started = typeof Started.Type\n\n export const Ended = Event.durable({\n type: \"session.shell.ended\",\n ...options,\n schema: {\n ...Base,\n shell: ShellSchema.Info,\n output: ShellSchema.Output,\n },\n })\n export type Ended = typeof Ended.Type\n}\n\nexport namespace Step {\n export const Started = Event.durable({\n type: \"session.step.started\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n agent: Agent.ID,\n model: Model.Ref,\n snapshot: Snapshot.ID.pipe(optional),\n },\n })\n export type Started = typeof Started.Type\n\n export const Ended = Event.durable({\n type: \"session.step.ended\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n finish: FinishReason,\n rawFinish: Schema.String.pipe(optional),\n providerState: SessionMessage.ProviderState.pipe(optional),\n cost: Money.USD,\n tokens: TokenUsage.Info,\n snapshot: Snapshot.ID.pipe(optional),\n files: Schema.Array(RelativePath).pipe(optional),\n },\n })\n export type Ended = typeof Ended.Type\n\n export const Failed = Event.durable({\n type: \"session.step.failed\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n error: SessionError.Error,\n finish: Schema.Literals([\"content-filter\"]).pipe(optional),\n rawFinish: Schema.String.pipe(optional),\n providerState: SessionMessage.ProviderState.pipe(optional),\n cost: Money.USD.pipe(optional),\n tokens: TokenUsage.Info.pipe(optional),\n snapshot: Snapshot.ID.pipe(optional),\n files: Schema.Array(RelativePath).pipe(optional),\n },\n })\n export type Failed = typeof Failed.Type\n}\n\nexport namespace Text {\n export const Started = Event.durable({\n type: \"session.text.started\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n },\n })\n export type Started = typeof Started.Type\n\n // Stream fragments are live-only; Text.Ended is the replayable full-value boundary.\n export const Delta = Event.ephemeral({\n type: \"session.text.delta\",\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n delta: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.text.ended\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n text: Schema.String,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Ended = typeof Ended.Type\n}\n\nexport namespace Reasoning {\n export const Started = Event.durable({\n type: \"session.reasoning.started\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Started = typeof Started.Type\n\n // Stream fragments are live-only; Reasoning.Ended is the replayable full-value boundary.\n export const Delta = Event.ephemeral({\n type: \"session.reasoning.delta\",\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n delta: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.reasoning.ended\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n text: Schema.String,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Ended = typeof Ended.Type\n}\n\nexport namespace Tool {\n const ToolBase = {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n id: Schema.String,\n }\n\n export namespace Input {\n export const Started = Event.durable({\n type: \"session.tool.input.started\",\n ...options,\n schema: {\n ...ToolBase,\n name: Schema.String,\n },\n })\n export type Started = typeof Started.Type\n\n // Stream fragments are live-only; Input.Ended is the replayable raw-input boundary.\n export const Delta = Event.ephemeral({\n type: \"session.tool.input.delta\",\n schema: {\n ...ToolBase,\n delta: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.tool.input.ended\",\n ...options,\n schema: {\n ...ToolBase,\n text: Schema.String,\n },\n })\n export type Ended = typeof Ended.Type\n }\n\n export const Called = Event.durable({\n type: \"session.tool.called\",\n ...options,\n schema: {\n ...ToolBase,\n input: Schema.Record(Schema.String, Schema.Unknown),\n executed: Schema.Boolean,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Called = typeof Called.Type\n\n /** Live replacement metadata for a running tool. */\n export const Progress = Event.ephemeral({\n type: \"session.tool.progress\",\n schema: {\n ...ToolBase,\n metadata: Schema.Record(Schema.String, Schema.Json),\n },\n })\n export type Progress = typeof Progress.Type\n\n /** Canonical terminal success: one non-empty model representation plus optional UI metadata. */\n export const Success = Event.durable({\n type: \"session.tool.success\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...ToolBase,\n content: Schema.NonEmptyArray(Content),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n executed: Schema.Boolean,\n resultState: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Success = typeof Success.Type\n\n /**\n * Canonical terminal failure: one error plus the final bounded snapshot of\n * partial progress. The event is self-contained; projection never reaches\n * into ephemeral progress history.\n */\n export const Failed = Event.durable({\n type: \"session.tool.failed\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...ToolBase,\n error: SessionError.Error,\n content: Schema.NonEmptyArray(Content).pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n executed: Schema.Boolean,\n resultState: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Failed = typeof Failed.Type\n}\n\nexport const RetryScheduled = Event.durable({\n type: \"session.retry.scheduled\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n attempt: PositiveInt,\n at: NonNegativeInt,\n error: SessionError.Error,\n },\n})\nexport type RetryScheduled = typeof RetryScheduled.Type\n\nexport namespace Compaction {\n export const Started = Event.durable({\n type: \"session.compaction.started\",\n ...options,\n schema: {\n ...Base,\n reason: Schema.Literals([\"auto\", \"manual\"]),\n recent: Schema.String,\n inputID: SessionMessage.ID.pipe(optional),\n },\n })\n export type Started = typeof Started.Type\n\n export const Delta = Event.ephemeral({\n type: \"session.compaction.delta\",\n schema: {\n ...Base,\n text: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.compaction.ended\",\n ...options,\n schema: {\n ...Base,\n reason: Started.data.fields.reason,\n text: Schema.String,\n recent: Schema.String,\n },\n })\n export type Ended = typeof Ended.Type\n\n export const Failed = Event.durable({\n type: \"session.compaction.failed\",\n ...options,\n schema: {\n ...Base,\n reason: Started.data.fields.reason,\n error: SessionError.Error,\n inputID: SessionMessage.ID.pipe(optional),\n },\n })\n export type Failed = typeof Failed.Type\n}\n\nexport namespace RevertEvent {\n export const Staged = Event.durable({\n type: \"session.revert.staged\",\n ...options,\n schema: { ...Base, revert: Revert },\n })\n export const Cleared = Event.durable({ type: \"session.revert.cleared\", ...options, schema: Base })\n export const Committed = Event.durable({\n type: \"session.revert.committed\",\n ...options,\n schema: { ...Base, to: SessionMessage.ID },\n })\n}\n\nexport const Definitions = Event.inventory(\n Created,\n AgentSelected,\n ModelSelected,\n Moved,\n Renamed,\n UsageUpdated,\n Deleted,\n Forked,\n InboxDelivered,\n InboxEnqueued,\n InboxCancelled,\n InboxDeliveryChanged,\n Execution.Started,\n Execution.Succeeded,\n Execution.Failed,\n Execution.Interrupted,\n InstructionsUpdated,\n Synthetic,\n Skill.Activated,\n Shell.Started,\n Shell.Ended,\n Step.Started,\n Step.Ended,\n Step.Failed,\n Text.Started,\n Text.Delta,\n Text.Ended,\n Reasoning.Started,\n Reasoning.Delta,\n Reasoning.Ended,\n Tool.Input.Started,\n Tool.Input.Delta,\n Tool.Input.Ended,\n Tool.Called,\n Tool.Progress,\n Tool.Success,\n Tool.Failed,\n RetryScheduled,\n Compaction.Started,\n Compaction.Delta,\n Compaction.Ended,\n Compaction.Failed,\n RevertEvent.Staged,\n RevertEvent.Cleared,\n RevertEvent.Committed,\n)\n\n// UsageRecorded is durable but internal: excluded from Definitions so it never reaches the public manifest.\nexport const DurableDefinitions = Event.inventory(\n ...Definitions.filter((definition) => definition.durability === \"durable\"),\n UsageRecorded,\n)\nexport const EphemeralDefinitions = Event.inventory(\n ...Definitions.filter((definition) => definition.durability === \"ephemeral\"),\n)\n\nexport const Durable = Schema.Union(DurableDefinitions, { mode: \"oneOf\" })\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Session.Event.Durable\" })\nexport type DurableEvent = typeof Durable.Type\n\nexport const All = Schema.Union([Durable, ...EphemeralDefinitions], { mode: \"oneOf\" }).pipe(\n Schema.toTaggedUnion(\"type\"),\n)\nexport type Event = typeof All.Type\nexport type Type = Event[\"type\"]\n" | ||
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| "debugId": "D91B9AA6B26B64B064756E2164756E21", | ||
| "names": [] | ||
| } |
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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": "10B6B206EA0F365164756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is too big to display
| { | ||
| "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": "1145349747E28AB964756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/openai-image.ts", "../ai/src/protocols/open-responses-channel.ts", "../ai/src/protocols/openai-responses-channel.ts", "../ai/src/protocols/openai-responses.ts"], | ||
| "sourcesContent": [ | ||
| "import { Schema } from \"effect\"\n\nconst dimensions = (value: string) => {\n const match = /^(\\d+)x(\\d+)$/.exec(value)\n if (!match) return undefined\n return { width: Number(match[1]), height: Number(match[2]) }\n}\n\nexport const Size = Schema.String.check(\n Schema.makeFilter((value) => {\n if (value === \"auto\") return undefined\n const parsed = dimensions(value)\n if (!parsed) return \"image size must be `auto` or `{width}x{height}`\"\n return parsed.width > 0 && parsed.height > 0 ? undefined : \"image dimensions must be positive integers\"\n }),\n)\n\nexport const OpenAIImage = {\n Size,\n} as const\n", | ||
| "import { Effect, Schema, Stream } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Framing } from \"../route/framing.js\"\nimport {\n HttpTransport,\n WebSocketTransport,\n type Transport,\n type WebSocketChannelDriver,\n type WebSocketChannelExchange,\n} from \"../route/transport/index.js\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst WebSocketResponseCreate = Schema.StructWithRest(Schema.Struct({ type: Schema.tag(\"response.create\") }), [\n Schema.Record(Schema.String, Schema.Unknown),\n])\nconst decodeMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(WebSocketResponseCreate))\nconst encodeMessage = Schema.encodeSync(Schema.fromJsonString(WebSocketResponseCreate))\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\nexport interface Options {\n readonly id: string\n readonly name: string\n readonly rotateAfterMs?: number\n readonly enabled?: (url: string) => boolean\n readonly url?: (url: string) => string\n readonly headers?: (headers: Headers.Headers) => Headers.Headers\n readonly driver?: (input: {\n readonly request: Readonly<Record<string, unknown>>\n readonly message: string\n readonly base: WebSocketChannelDriver\n }) => WebSocketChannelDriver\n}\n\nexport interface Prepared {\n readonly http: HttpTransport.HttpPrepared<string>\n readonly channel?: {\n readonly url: string\n readonly headers: Headers.Headers\n readonly rotateAfterMs?: number\n readonly driver: WebSocketChannelDriver\n }\n}\n\nconst message = (body: unknown) =>\n Effect.gen(function* () {\n if (!ProviderShared.isRecord(body))\n return yield* ProviderShared.invalidRequest(\"Open Responses WebSocket body must be a JSON object\")\n const { stream: _stream, stream_options: _streamOptions, background: _background, ...request } = body\n const decoded = yield* decodeMessage({ ...request, type: \"response.create\" })\n return { request: decoded, message: encodeMessage(decoded) }\n })\n\nconst driver = (options: Options, body: string): WebSocketChannelDriver => {\n let responseID: string | undefined\n let terminal = false\n return {\n create: () =>\n Effect.sync(() => {\n responseID = undefined\n terminal = false\n return { message: body, mode: \"full\" }\n }),\n observe: (_create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `Invalid ${options.name} WebSocket event`, frame),\n ),\n )\n if (terminal)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} after a terminal event`,\n frame,\n )\n if (event.type === \"error\") {\n terminal = true\n yield* OpenResponses.decodeKnownErrorEvent(event).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `${options.name} returned a malformed error event`, frame),\n ),\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} stream error`),\n }\n }\n if (event.type === \"response.failed\") {\n terminal = true\n if (responseID && event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} response failed`),\n }\n }\n if (event.type === \"response.created\") {\n const created = event.response?.id\n if (responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted duplicate response.created`,\n frame,\n )\n if (!created)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response.created is missing response.id`,\n frame,\n )\n responseID = created\n return { type: \"frame\", frame }\n }\n if (!responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} before response.created`,\n frame,\n )\n if (event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n if (event.type === \"response.completed\") {\n terminal = true\n return { type: \"completed\", frame }\n }\n if (event.type === \"response.incomplete\") {\n terminal = true\n return { type: \"incomplete\", frame }\n }\n return { type: \"frame\", frame }\n }),\n }\n}\n\nexport const transport = <Body>(options: Options): Transport<Body, Prepared, string> => {\n const http = HttpTransport.sseJson.with<Body>()\n return {\n id: http.id,\n prepare: (input) =>\n Effect.gen(function* () {\n const parts = yield* HttpTransport.jsonRequestParts(input)\n const headers = Headers.remove(options.headers?.(parts.headers) ?? parts.headers, \"content-length\")\n const channel =\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: options.driver?.({ request: create.request, message: create.message, base }) ?? base,\n }\n })\n : undefined\n return {\n http: {\n request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),\n framing: Framing.sse,\n middleware: input.middleware,\n },\n channel,\n }\n }),\n execute: (prepared, request, runtime, executeOptions) => {\n if (!executeOptions?.webSocket || !prepared.channel) return http.execute(prepared.http, request, runtime)\n const exchange: WebSocketChannelExchange = {\n id: request.id ?? \"request\",\n connect: {\n url: prepared.channel.url,\n headers: prepared.channel.headers,\n rotateAfterMs: prepared.channel.rotateAfterMs,\n },\n fallback: () =>\n Stream.unwrap(\n http.execute(prepared.http, request, runtime).pipe(Effect.map((execution) => execution.frames)),\n ),\n driver: prepared.channel.driver,\n }\n return executeOptions.webSocket.execute(exchange)\n },\n }\n}\n\nexport const OpenResponsesChannel = { transport } as const\n", | ||
| "import { AIError, TransportReason } from \"../schema/index.js\"\nimport type { ChannelCheckpoint, ChannelObservation, WebSocketChannelDriver } from \"../route/transport/index.js\"\nimport { Effect, Option, Schema } from \"effect\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst PROTOCOL = \"openai-responses.websocket.v1\"\nconst VERSION = 1\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\ninterface CheckpointValue {\n readonly version: typeof VERSION\n readonly responseID: string\n readonly request: Readonly<Record<string, unknown>>\n readonly output: ReadonlyArray<unknown>\n}\n\nexport interface DriverInput {\n readonly id: string\n readonly name: string\n readonly request: Readonly<Record<string, unknown>>\n readonly message: string\n readonly base: WebSocketChannelDriver\n}\n\nconst checkpointValue = (checkpoint: ChannelCheckpoint | undefined): CheckpointValue | undefined => {\n if (checkpoint?.protocol !== PROTOCOL || !ProviderShared.isRecord(checkpoint.value)) return undefined\n if (checkpoint.value.version !== VERSION) return undefined\n if (typeof checkpoint.value.responseID !== \"string\" || checkpoint.value.responseID.trim().length === 0)\n return undefined\n if (!ProviderShared.isRecord(checkpoint.value.request) || !Array.isArray(checkpoint.value.output)) return undefined\n return {\n version: VERSION,\n responseID: checkpoint.value.responseID,\n request: checkpoint.value.request,\n output: checkpoint.value.output,\n }\n}\n\nconst canonical = (value: unknown): string => {\n if (value === undefined) return \"undefined\"\n if (Array.isArray(value)) return `[${value.map(canonical).join(\",\")}]`\n if (!ProviderShared.isRecord(value)) return ProviderShared.encodeJson(value)\n return `{${Object.keys(value)\n .sort()\n .map((key) => `${ProviderShared.encodeJson(key)}:${canonical(value[key])}`)\n .join(\",\")}}`\n}\n\nconst json = (value: unknown) => {\n if (typeof value !== \"string\") return value\n return Option.getOrElse(Schema.decodeUnknownOption(ProviderShared.Json)(value), () => value)\n}\n\nconst comparable = (value: unknown) => {\n if (!ProviderShared.isRecord(value)) return value\n if (value.type === \"message\" && value.role === \"assistant\")\n return {\n role: \"assistant\",\n content: value.content,\n ...(value.phase === undefined ? {} : { phase: value.phase }),\n }\n if (value.type === \"function_call\")\n return {\n type: value.type,\n call_id: value.call_id,\n name: value.name,\n arguments: json(value.arguments),\n }\n if (value.type === \"reasoning\")\n return {\n type: value.type,\n summary: value.summary,\n encrypted_content: value.encrypted_content,\n }\n return value\n}\n\nconst invariant = (request: Readonly<Record<string, unknown>>) => {\n const { type: _type, input: _input, previous_response_id: _previousResponseID, ...rest } = request\n return rest\n}\n\nconst incremental = (\n request: Readonly<Record<string, unknown>>,\n checkpoint: CheckpointValue,\n): ReadonlyArray<unknown> | undefined => {\n const input = request.input\n const previousInput = checkpoint.request.input\n if (!Array.isArray(input) || !Array.isArray(previousInput)) return undefined\n if (canonical(invariant(request)) !== canonical(invariant(checkpoint.request))) return undefined\n const baseline = [...previousInput, ...checkpoint.output]\n if (input.length <= baseline.length) return undefined\n if (!baseline.every((item, index) => canonical(comparable(item)) === canonical(comparable(input[index]))))\n return undefined\n return input.slice(baseline.length)\n}\n\nconst code = (event: OpenResponses.Event) => event.code || event.error?.code || event.response?.error?.code || undefined\n\nconst rejected = (\n input: DriverInput,\n observation: Extract<ChannelObservation, { readonly type: \"provider-failure\" }>,\n recovery: \"retry-full\" | \"rotate-and-retry-full\",\n): ChannelObservation => ({\n type: \"rejected\",\n recovery,\n error: new AIError({\n module: input.id,\n method: \"stream\",\n reason: new TransportReason({\n message: observation.error.message,\n transport: \"websocket\",\n operation: \"read\",\n phase: \"receive\",\n delivery: \"rejected\",\n recovery,\n }),\n }),\n})\n\nexport const driver = (input: DriverInput): WebSocketChannelDriver => {\n const { previous_response_id: _previousResponseID, ...request } = input.request\n let output: unknown[] = []\n return {\n create: (checkpoint) =>\n Effect.sync(() => {\n output = []\n const previous = checkpointValue(checkpoint)\n const delta = previous ? incremental(request, previous) : undefined\n if (!previous || !delta) return { message: ProviderShared.encodeJson(request), mode: \"full\" as const }\n return {\n message: ProviderShared.encodeJson({ ...request, input: delta, previous_response_id: previous.responseID }),\n mode: \"incremental\" as const,\n }\n }),\n observe: (create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() => ProviderShared.eventError(input.id, `Invalid ${input.name} WebSocket event`, frame)),\n )\n const observation = yield* input.base.observe(create, frame)\n if (event.type === \"response.output_item.done\" && event.item) output.push(event.item)\n if (observation.type === \"provider-failure\") {\n const rejection = code(event)\n if (rejection === \"previous_response_not_found\") return rejected(input, observation, \"retry-full\")\n if (rejection === \"websocket_connection_limit_reached\")\n return rejected(input, observation, \"rotate-and-retry-full\")\n }\n if (observation.type !== \"completed\") return observation\n const responseID = event.response?.id\n if (!responseID || responseID.trim().length === 0) return observation\n return {\n ...observation,\n checkpoint: {\n protocol: PROTOCOL,\n value: { version: VERSION, responseID, request, output: output.slice() } satisfies CheckpointValue,\n },\n }\n }),\n }\n}\n\nexport const OpenAIResponsesChannel = { driver } as const\n", | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { LLMEvent, LLMRequest, type JsonSchema, type ToolDefinition } from \"../schema/index.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { optionalArray, ProviderShared } from \"./shared.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { OpenResponsesChannel, type Options } from \"./open-responses-channel.js\"\nimport { OpenAIResponsesChannel } from \"./openai-responses-channel.js\"\n\nconst ADAPTER = \"openai-responses\"\nconst NAME = \"OpenAI Responses\"\nconst WEBSOCKET_PROTOCOL_HEADER = \"responses_websockets=2026-02-06\"\nconst WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = OpenResponses.PATH\n\nconst OpenAIResponsesImageGenerationTool = Schema.Struct({\n type: Schema.tag(\"image_generation\"),\n action: Schema.optional(Schema.Literals([\"auto\", \"generate\", \"edit\"])),\n background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n input_fidelity: Schema.optional(Schema.Literals([\"low\", \"high\"])),\n output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),\n quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n size: Schema.optional(OpenAIImage.Size),\n})\n\nconst OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool])\n\nconst OpenAIResponsesToolChoice = Schema.Union([\n OpenResponses.ToolChoice,\n Schema.Struct({ type: Schema.tag(\"image_generation\") }),\n])\n\nconst OpenAIResponsesInputItem = Schema.Union([\n Schema.Struct({\n type: Schema.tag(\"message\"),\n id: Schema.optionalKey(Schema.String),\n role: Schema.tag(\"assistant\"),\n content: Schema.Array(Schema.Struct({ type: Schema.tag(\"output_text\"), text: Schema.String })),\n phase: Schema.optionalKey(Schema.NullOr(OpenResponses.MessagePhase)),\n }),\n OpenResponses.InputItem,\n])\n\nconst OpenAIResponsesCoreFields = {\n ...OpenResponses.coreFields,\n input: Schema.Array(OpenAIResponsesInputItem),\n tools: optionalArray(OpenAIResponsesTools),\n tool_choice: Schema.optional(OpenAIResponsesToolChoice),\n}\n\nconst OpenAIResponsesBody = Schema.Struct({\n ...OpenAIResponsesCoreFields,\n stream: Schema.Literal(true),\n})\nexport type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>\n\nconst extension = {\n id: ADAPTER,\n name: NAME,\n messagePhase: (value: unknown) => (value === null ? null : undefined),\n lowerMedia: ({ part, media, request }) => {\n if (request.model.provider !== \"xai\" || media.mime !== \"application/pdf\") return undefined\n return {\n type: \"input_file\",\n filename: part.filename ?? \"document.pdf\",\n file_data: media.base64,\n mime_type: media.mime,\n }\n },\n} satisfies OpenResponses.Extension\n\nconst nativeImageToolInput = (tool: ToolDefinition) => {\n const native = tool.native?.openai\n return ProviderShared.isRecord(native) && native.type === \"image_generation\" ? native : undefined\n}\n\nconst nativeImageTool = (tool: ToolDefinition) => {\n const native = nativeImageToolInput(tool)\n return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined\n}\n\nconst lowerTool = Effect.fn(\"OpenAIResponses.lowerTool\")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {\n const native = nativeImageToolInput(tool)\n if (native !== undefined) {\n if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native\n return yield* ProviderShared.invalidRequest(\"OpenAI Responses image generation tool options are invalid\")\n }\n return yield* OpenResponses.lowerTool(NAME, tool, inputSchema)\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>, tools: ReadonlyArray<ToolDefinition>) =>\n ProviderShared.matchToolChoice(NAME, toolChoice, {\n auto: () => \"auto\" as const,\n none: () => \"none\" as const,\n required: () => \"required\" as const,\n tool: (name) =>\n tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)\n ? ({ type: \"image_generation\" } as const)\n : { type: \"function\" as const, name },\n })\n\nconst fromRequest = Effect.fn(\"OpenAIResponses.fromRequest\")(function* (request: LLMRequest) {\n const body = yield* OpenResponses.fromRequestWithExtension(\n LLMRequest.update(request, { tools: [], toolChoice: undefined }),\n extension,\n )\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n return {\n ...body,\n tools:\n request.tools.length === 0\n ? undefined\n : yield* Effect.forEach(request.tools, (tool) =>\n lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n ),\n tool_choice:\n body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined),\n } satisfies OpenAIResponsesBody\n})\n\ntype HostedToolData = OpenResponses.StreamItem & {\n readonly id: string\n readonly status?: string\n readonly action?: unknown\n readonly queries?: unknown\n readonly results?: unknown\n readonly code?: string\n readonly container_id?: string\n readonly outputs?: unknown\n readonly server_label?: string\n readonly output?: unknown\n readonly result?: string\n readonly output_format?: \"png\" | \"jpeg\" | \"webp\"\n readonly error?: unknown\n}\n\nconst HOSTED_TOOLS = {\n web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n web_search_preview_call: { name: \"web_search_preview\", input: (item) => item.action ?? {} },\n file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n code_interpreter_call: {\n name: \"code_interpreter\",\n input: (item) => ({ code: item.code, container_id: item.container_id }),\n },\n computer_use_call: { name: \"computer_use\", input: (item) => item.action ?? {} },\n image_generation_call: { name: \"image_generation\", input: () => ({}) },\n mcp_call: {\n name: \"mcp\",\n input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n },\n local_shell_call: { name: \"local_shell\", input: (item) => item.action ?? {} },\n} as const satisfies Record<string, { readonly name: string; readonly input: (item: HostedToolData) => unknown }>\n\ntype HostedToolType = keyof typeof HOSTED_TOOLS\ntype HostedToolItem = HostedToolData & { readonly type: HostedToolType }\n\nconst isHostedToolItem = (item: OpenResponses.StreamItem): item is HostedToolItem =>\n item.type in HOSTED_TOOLS && typeof item.id === \"string\" && item.id.length > 0\n\nconst hostedToolResult = Effect.fn(\"OpenAIResponses.hostedToolResult\")(function* (item: HostedToolItem) {\n const isError = item.error !== undefined && item.error !== null\n if (item.type === \"image_generation_call\" && item.result) {\n yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(\n Effect.mapError(() => ProviderShared.eventError(ADAPTER, \"OpenAI Responses returned invalid image base64\")),\n )\n const format = item.output_format ?? \"png\"\n return {\n type: \"content\" as const,\n value: [\n {\n type: \"file\" as const,\n uri: `data:image/${format};base64,${item.result}`,\n mime: `image/${format}`,\n },\n ],\n }\n }\n return isError ? { type: \"error\" as const, value: item.error } : { type: \"json\" as const, value: item }\n})\n\nconst onHostedToolDone = Effect.fn(\"OpenAIResponses.onHostedToolDone\")(function* (\n state: OpenResponses.ParserState,\n item: HostedToolItem,\n) {\n const tool = HOSTED_TOOLS[item.type]\n const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n events.push(\n LLMEvent.toolCall({\n id: item.id,\n name: tool.name,\n input: tool.input(item),\n providerExecuted: true,\n providerMetadata,\n }),\n LLMEvent.toolResult({\n id: item.id,\n name: tool.name,\n result: yield* hostedToolResult(item),\n providerExecuted: true,\n providerMetadata,\n }),\n )\n return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult\n})\n\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n if (event.type === \"response.reasoning_text.delta\" || event.type === \"response.reasoning_summary.delta\")\n return event.item_id\n ? Effect.succeed(OpenResponses.onReasoningDelta(state, event, event.item_id))\n : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n if (event.type === \"response.reasoning_text.done\" || event.type === \"response.reasoning_summary.done\")\n return event.item_id\n ? Effect.succeed(OpenResponses.onReasoningDone(state, event))\n : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n if (event.type === \"response.output_item.done\" && event.item && isHostedToolItem(event.item))\n return onHostedToolDone(state, event.item)\n return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: OpenAIResponsesBody,\n from: fromRequest,\n },\n stream: {\n event: OpenResponses.protocol.stream.event,\n initial: (request) => OpenResponses.initial(request, extension),\n step,\n terminal: OpenResponses.terminal,\n },\n})\n\nconst endpoint = Endpoint.path<OpenAIResponsesBody>(PATH, { baseURL: DEFAULT_BASE_URL })\nconst auth = Auth.none\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIResponsesBody>()\nexport const channelTransport = (options: Omit<Options, \"driver\">) =>\n OpenResponsesChannel.transport<OpenAIResponsesBody>({\n ...options,\n driver: (input) => OpenAIResponsesChannel.driver({ id: options.id, name: options.name, ...input }),\n })\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 } },\n})\n\nexport * as OpenAIResponses from \"./openai-responses.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "F2A9415FB88BF60464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenResponsesOptions } from \"./open-responses-options.js\"\n\nexport const OpenAIReasoningEfforts = OpenResponsesOptions.ReasoningEfforts\nexport type OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosities = OpenResponsesOptions.TextVerbosities\nexport type OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity\n\n// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this\n// in lockstep with `openai-node/src/resources/responses/responses.ts`.\nexport const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables\nexport type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable\nexport const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers\nexport type OpenAIServiceTier = OpenResponsesOptions.ServiceTier\n\nexport const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity\nexport const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema\nexport const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema\n\nexport const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === \"string\"\n\nexport const resolve = OpenResponsesOptions.resolve\n\nexport * as OpenAIOptions from \"./openai-options.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n Usage,\n type FinishReason,\n type FinishReasonDetails,\n type CacheHint,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ReasoningPart,\n type TextPart,\n type ToolCallPart,\n type ToolDefinition,\n} from \"../schema/index.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { OpenAIOptions } from \"./utils/openai-options.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"openai-chat\"\nconst RESERVED_REASONING_FIELDS = new Set([\"role\", \"content\", \"refusal\", \"tool_calls\"])\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/chat/completions\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\n// The body schema is the provider-native JSON body. `fromRequest` below builds\n// this shape from the common `LLMRequest`, then `Route.make` validates and\n// JSON-encodes it before transport.\nconst OpenAIChatCacheControl = Schema.Struct({\n type: Schema.Literal(\"ephemeral\"),\n ttl: Schema.optional(Schema.String),\n})\n\nconst OpenAIChatFunction = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n parameters: JsonObject,\n})\n\nconst OpenAIChatTool = Schema.Struct({\n type: Schema.tag(\"function\"),\n function: OpenAIChatFunction,\n cache_control: Schema.optional(OpenAIChatCacheControl),\n})\ntype OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>\n\nconst OpenAIChatAssistantToolCall = Schema.Struct({\n id: Schema.String,\n type: Schema.tag(\"function\"),\n function: Schema.Struct({\n name: Schema.String,\n arguments: Schema.String,\n }),\n})\ntype OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>\n\n// Intentionally omit Gemini's provider-specific `extra_content.google.thought_signature`\n// extension until direct Google OpenAI-compatible routing is supported here:\n// https://github.com/vercel/ai/issues/11590\n// https://github.com/vercel/ai/pull/11745\n// https://ai.google.dev/gemini-api/docs/thought-signatures#openai\n\nconst OpenAIChatUserContent = Schema.Union([\n Schema.Struct({\n type: Schema.Literal(\"text\"),\n text: Schema.String,\n cache_control: Schema.optional(OpenAIChatCacheControl),\n }),\n Schema.Struct({\n type: Schema.Literal(\"image_url\"),\n image_url: Schema.Struct({ url: Schema.String }),\n }),\n])\n\nconst OpenAIChatMessage = Schema.Union([\n Schema.Struct({\n role: Schema.Literal(\"system\"),\n content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n }),\n Schema.Struct({\n role: Schema.Literal(\"user\"),\n content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n }),\n Schema.StructWithRest(\n Schema.Struct({\n role: Schema.Literal(\"assistant\"),\n content: Schema.NullOr(Schema.String),\n tool_calls: optionalArray(OpenAIChatAssistantToolCall),\n reasoning_content: Schema.optional(Schema.String),\n reasoning: Schema.optional(Schema.String),\n reasoning_text: Schema.optional(Schema.String),\n reasoning_details: Schema.optional(Schema.Unknown),\n cache_control: Schema.optional(OpenAIChatCacheControl),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n ),\n Schema.Struct({\n role: Schema.Literal(\"tool\"),\n tool_call_id: Schema.String,\n content: Schema.String,\n cache_control: Schema.optional(OpenAIChatCacheControl),\n }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>\n\nconst OpenAIChatToolChoice = Schema.Union([\n Schema.Literals([\"auto\", \"none\", \"required\"]),\n Schema.Struct({\n type: Schema.tag(\"function\"),\n function: Schema.Struct({ name: Schema.String }),\n }),\n])\n\nexport const bodyFields = {\n model: Schema.String,\n messages: Schema.Array(OpenAIChatMessage),\n tools: optionalArray(OpenAIChatTool),\n tool_choice: Schema.optional(OpenAIChatToolChoice),\n stream: Schema.Literal(true),\n stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),\n store: Schema.optional(Schema.Boolean),\n prompt_cache_key: Schema.optional(Schema.String),\n reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),\n max_completion_tokens: Schema.optional(Schema.Number),\n max_tokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n top_p: Schema.optional(Schema.Number),\n frequency_penalty: Schema.optional(Schema.Number),\n presence_penalty: Schema.optional(Schema.Number),\n seed: Schema.optional(Schema.Number),\n stop: optionalArray(Schema.String),\n}\nconst OpenAIChatBody = Schema.Struct(bodyFields)\nexport type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>\n\n// =============================================================================\n// Streaming Event Schema\n// =============================================================================\n// The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the\n// byte stream into strings, then `Protocol.jsonEvent` decodes each string into\n// this provider-native event shape.\nconst OpenAIChatUsage = Schema.StructWithRest(\n Schema.Struct({\n prompt_tokens: optionalNull(Schema.Number),\n completion_tokens: optionalNull(Schema.Number),\n total_tokens: optionalNull(Schema.Number),\n prompt_tokens_details: optionalNull(\n Schema.StructWithRest(\n Schema.Struct({\n cached_tokens: optionalNull(Schema.Number),\n cache_write_tokens: optionalNull(Schema.Number),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n ),\n ),\n completion_tokens_details: optionalNull(\n Schema.StructWithRest(\n Schema.Struct({\n reasoning_tokens: optionalNull(Schema.Number),\n accepted_prediction_tokens: optionalNull(Schema.Number),\n rejected_prediction_tokens: optionalNull(Schema.Number),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n ),\n ),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n name: optionalNull(Schema.String),\n arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n index: optionalNull(Schema.Number),\n id: optionalNull(Schema.String),\n function: optionalNull(OpenAIChatToolCallDeltaFunction),\n})\ntype OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>\n\nconst OpenAIChatDelta = Schema.StructWithRest(\n Schema.Struct({\n content: optionalNull(Schema.String),\n refusal: optionalNull(Schema.String),\n reasoning_content: optionalNull(Schema.String),\n reasoning: optionalNull(Schema.String),\n reasoning_text: optionalNull(Schema.String),\n reasoning_details: optionalNull(Schema.Unknown),\n tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatChoice = Schema.Struct({\n delta: optionalNull(OpenAIChatDelta),\n finish_reason: optionalNull(Schema.String),\n native_finish_reason: optionalNull(Schema.String),\n})\n\nconst OpenAIChatError = Schema.Struct({\n code: optionalNull(Schema.Union([Schema.String, Schema.Number])),\n message: Schema.String,\n})\n\nexport const OpenAIChatEvent = Schema.Struct({\n choices: optionalNull(Schema.Array(OpenAIChatChoice)),\n usage: optionalNull(OpenAIChatUsage),\n error: optionalNull(OpenAIChatError),\n})\nexport type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>\ntype OpenAIChatRequestMessage = LLMRequest[\"messages\"][number]\n\ninterface PendingToolDelta {\n readonly id?: string\n readonly name?: string\n readonly input: string\n}\n\nexport interface ParserState {\n readonly tools: ToolStream.State<number>\n readonly pendingTools: Partial<Record<number, PendingToolDelta>>\n readonly toolCallEvents: ReadonlyArray<LLMEvent>\n readonly usage?: Usage\n readonly finishReason?: FinishReasonDetails\n readonly lifecycle: Lifecycle.State\n readonly reasoningField?: string\n readonly reasoningDetails: Array<unknown>\n readonly reasoningDetailsObserved: boolean\n readonly reasoningEmitted: boolean\n readonly latestToolIndex?: number\n readonly nextToolIndex: number\n}\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Lowering is the only place that knows how common LLM messages map onto the\n// OpenAI Chat wire format. Keep provider quirks here instead of leaking native\n// fields into `LLMRequest`.\ninterface LoweringOptions {\n readonly cacheControl?: (\n cache: CacheHint | undefined,\n ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined\n}\n\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema, options: LoweringOptions): OpenAIChatTool => ({\n type: \"function\",\n function: {\n name: tool.name,\n description: tool.description,\n parameters: ToolSchemaProjection.openAI(inputSchema),\n },\n cache_control: options.cacheControl?.(tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"OpenAI Chat\", toolChoice, {\n auto: () => \"auto\" as const,\n none: () => \"none\" as const,\n required: () => \"required\" as const,\n tool: (name) => ({ type: \"function\" as const, function: { name } }),\n })\n\nconst lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({\n id: part.id,\n type: \"function\",\n function: {\n name: part.name,\n arguments: ProviderShared.encodeJson(part.input),\n },\n})\n\nconst lowerMedia = Effect.fn(\"OpenAIChat.lowerMedia\")(function* (part: MediaPart) {\n const media = ProviderShared.normalizeMedia(part)\n if (!media.mime.startsWith(\"image/\"))\n return yield* ProviderShared.invalidRequest(`OpenAI Chat does not support media type ${part.mediaType}`)\n return { type: \"image_url\" as const, image_url: { url: media.dataUrl } }\n})\n\nconst openAICompatibleReasoningContent = (native: unknown) =>\n isRecord(native) && typeof native.reasoning_content === \"string\" ? native.reasoning_content : undefined\n\nconst reasoningField = (part: ReasoningPart) => {\n const field = part.providerMetadata?.openai?.reasoningField\n return typeof field === \"string\" ? field : undefined\n}\n\nconst reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown) => {\n const observed = parts.flatMap((part) => {\n const details = part.providerMetadata?.openai?.reasoningDetails\n return Array.isArray(details) ? details : []\n })\n if (parts.some((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))) return observed\n if (isRecord(native) && Array.isArray(native.reasoning_details)) return native.reasoning_details\n}\n\nconst lowerUserMessage = Effect.fn(\"OpenAIChat.lowerUserMessage\")(function* (\n message: OpenAIChatRequestMessage,\n options: LoweringOptions,\n) {\n const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n for (const part of message.content) {\n if (part.type === \"text\") {\n content.push({ type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) })\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* lowerMedia(part))\n continue\n }\n return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"user\", [\"text\", \"media\"])\n }\n if (content.every((part) => part.type === \"text\" && part.cache_control === undefined))\n return {\n role: \"user\" as const,\n content: content.map((part) => (part.type === \"text\" ? part.text : \"\")).join(\"\"),\n }\n return { role: \"user\" as const, content }\n})\n\nconst lowerAssistantMessage = Effect.fn(\"OpenAIChat.lowerAssistantMessage\")(function* (\n message: OpenAIChatRequestMessage,\n configuredField?: string,\n options: LoweringOptions = {},\n) {\n const content: TextPart[] = []\n const reasoning: ReasoningPart[] = []\n const toolCalls: OpenAIChatAssistantToolCall[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n if (part.type === \"text\") {\n content.push(part)\n continue\n }\n if (part.type === \"reasoning\") {\n reasoning.push(part)\n continue\n }\n if (part.type === \"tool-call\") {\n toolCalls.push(lowerToolCall(part))\n continue\n }\n }\n const text = reasoning.map((part) => part.text).join(\"\")\n const details = reasoningDetails(reasoning, message.native?.openaiCompatible)\n const observedField = reasoning.map(reasoningField).find((value) => value !== undefined)\n const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)\n const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))\n const field = (() => {\n if (configuredField !== undefined) return configuredField\n if (reasoning.length === 0) return undefined\n if (observedField !== undefined) return observedField\n if (nativeReasoning !== undefined) return \"reasoning_content\"\n if (!fullyStructured) return \"reasoning_content\"\n })()\n const reasoningText = (() => {\n if (configuredField !== undefined) return reasoning.length === 0 ? (nativeReasoning ?? \"\") : text\n if (reasoning.length === 0) return nativeReasoning\n return text\n })()\n const cached = message.content.findLast((part) => \"cache\" in part && part.cache !== undefined)\n const cacheControl = options.cacheControl?.(cached && \"cache\" in cached ? cached.cache : undefined)\n const result = {\n role: \"assistant\" as const,\n content: content.length > 0 ? content.map((part) => part.text).join(\"\") : toolCalls.length > 0 ? null : \"\",\n ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),\n ...(details !== undefined ? { reasoning_details: details } : {}),\n ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),\n }\n if (field === undefined || reasoningText === undefined) return result\n return { ...result, [field]: reasoningText }\n})\n\nconst lowerToolMessages = Effect.fn(\"OpenAIChat.lowerToolMessages\")(function* (\n message: OpenAIChatRequestMessage,\n options: LoweringOptions,\n) {\n const messages: OpenAIChatMessage[] = []\n const images: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"tool\", [\"tool-result\"])\n if (part.result.type !== \"content\") {\n messages.push({\n role: \"tool\",\n tool_call_id: part.id,\n content: ProviderShared.toolResultText(part),\n cache_control: options.cacheControl?.(part.cache),\n })\n continue\n }\n const content: ReadonlyArray<Tool.Content> = part.result.value\n const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n messages.push({\n role: \"tool\",\n tool_call_id: part.id,\n content: text.join(\"\\n\"),\n cache_control: options.cacheControl?.(part.cache),\n })\n const files = content.filter((item) => item.type === \"file\")\n images.push(\n ...(yield* Effect.forEach(files, (item) =>\n lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name }),\n )),\n )\n }\n return { messages, images }\n})\n\nconst lowerMessage = Effect.fn(\"OpenAIChat.lowerMessage\")(function* (\n message: OpenAIChatRequestMessage,\n reasoningField?: string,\n options: LoweringOptions = {},\n) {\n if (message.role === \"user\") return [yield* lowerUserMessage(message, options)]\n if (message.role === \"assistant\") return [yield* lowerAssistantMessage(message, reasoningField, options)]\n return (yield* lowerToolMessages(message, options)).messages\n})\n\nconst lowerMessages = Effect.fn(\"OpenAIChat.lowerMessages\")(function* (request: LLMRequest, options: LoweringOptions) {\n const system: OpenAIChatMessage[] =\n request.system.length === 0\n ? []\n : request.system.some((part) => part.cache !== undefined) && options.cacheControl !== undefined\n ? [\n {\n role: \"system\",\n content: request.system.map((part) => ({\n type: \"text\",\n text: part.text,\n cache_control: options.cacheControl?.(part.cache),\n })),\n },\n ]\n : [{ role: \"system\", content: ProviderShared.joinText(request.system) }]\n const messages = [...system]\n const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n const flushImages = () => {\n if (pendingImages.length === 0) return\n messages.push({ role: \"user\", content: pendingImages.splice(0) })\n }\n for (const message of request.messages) {\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"OpenAI Chat\", message)\n if (pendingImages.length > 0) {\n messages.push({\n role: \"user\",\n content: [\n ...pendingImages.splice(0),\n { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n ],\n })\n continue\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\" && typeof previous.content === \"string\")\n messages[messages.length - 1] = options.cacheControl?.(part.cache)\n ? {\n role: \"user\",\n content: [\n { type: \"text\", text: previous.content },\n { type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) },\n ],\n }\n : { role: \"user\", content: `${previous.content}\\n${part.text}` }\n else if (previous?.role === \"user\" && Array.isArray(previous.content))\n messages[messages.length - 1] = {\n role: \"user\",\n content: [\n ...previous.content,\n { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n ],\n }\n else\n messages.push(\n options.cacheControl?.(part.cache)\n ? {\n role: \"user\",\n content: [{ type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) }],\n }\n : { role: \"user\", content: part.text },\n )\n continue\n }\n if (message.role === \"tool\") {\n const lowered = yield* lowerToolMessages(message, options)\n messages.push(...lowered.messages)\n pendingImages.push(...lowered.images)\n continue\n }\n flushImages()\n messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField, options)))\n }\n flushImages()\n return messages\n})\n\nconst lowerOptions = (request: LLMRequest) => {\n const options = OpenAIOptions.resolve(request)\n return {\n ...(options.store !== undefined ? { store: options.store } : {}),\n ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\n ...(options.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),\n }\n}\n\nexport const fromRequest = Effect.fn(\"OpenAIChat.fromRequest\")(function* (\n request: LLMRequest,\n options: LoweringOptions = {},\n) {\n // `fromRequest` returns the provider body only. Endpoint, auth, framing,\n // validation, and HTTP execution are composed by `Route.make`.\n const reasoningField = request.model.compatibility?.reasoningField\n if (reasoningField && RESERVED_REASONING_FIELDS.has(reasoningField))\n return yield* ProviderShared.invalidRequest(\n `OpenAI Chat reasoning field conflicts with reserved field ${reasoningField}`,\n )\n const generation = request.generation\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n const maxTokensField = request.model.compatibility?.maxTokensField ?? \"max_tokens\"\n return {\n model: request.model.id,\n messages: yield* lowerMessages(request, options),\n tools:\n request.tools.length === 0\n ? undefined\n : request.tools.map((tool) =>\n lowerTool(\n tool,\n ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n options,\n ),\n ),\n tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,\n stream: true as const,\n stream_options: { include_usage: true },\n ...(maxTokensField === \"max_completion_tokens\"\n ? { max_completion_tokens: generation?.maxTokens }\n : { max_tokens: generation?.maxTokens }),\n temperature: generation?.temperature,\n top_p: generation?.topP,\n frequency_penalty: generation?.frequencyPenalty,\n presence_penalty: generation?.presencePenalty,\n seed: generation?.seed,\n stop: generation?.stop,\n ...lowerOptions(request),\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Streaming parsers are small state machines: every event returns a new state\n// plus the common `LLMEvent`s produced by that event. Tool calls are accumulated\n// because OpenAI streams JSON arguments across multiple deltas.\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n if (reason === \"stop\") return \"stop\"\n if (reason === \"length\") return \"length\"\n if (reason === \"content_filter\") return \"content-filter\"\n if (reason === \"function_call\" || reason === \"tool_calls\") return \"tool-calls\"\n if (reason === \"error\") return \"error\"\n return \"unknown\"\n}\n\n// OpenAI Chat reports `prompt_tokens` (inclusive total) with a\n// cached-read and cache-write subsets, and `completion_tokens` (inclusive\n// total) with a `reasoning_tokens` subset. We pass the inclusive totals\n// through and derive the non-cached breakdown so the `AI.Usage` contract is\n// satisfied on both sides.\nconst mapUsage = (usage: OpenAIChatEvent[\"usage\"]): Usage | undefined => {\n if (!usage) return undefined\n const input = usage.prompt_tokens ?? undefined\n const output = usage.completion_tokens ?? undefined\n const cached = usage.prompt_tokens_details?.cached_tokens ?? undefined\n const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined\n const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined\n const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))\n return new Usage({\n inputTokens: input,\n outputTokens: output,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cached,\n cacheWriteInputTokens: cacheWrite,\n reasoningTokens: reasoning,\n totalTokens: ProviderShared.totalTokens(input, output, usage.total_tokens ?? undefined),\n providerMetadata: { openai: usage },\n })\n}\n\nconst toolIndexByID = (\n tools: ParserState[\"tools\"],\n pendingTools: ParserState[\"pendingTools\"],\n id: string | undefined,\n) => {\n if (!id) return undefined\n const entry = Object.entries({ ...pendingTools, ...tools }).find(([, tool]) => tool?.id === id)\n return entry ? Number(entry[0]) : undefined\n}\n\nconst reasoningDelta = (\n delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined,\n configuredField?: string,\n) => {\n if (!delta) return undefined\n const fields = new Set([configuredField, \"reasoning_content\", \"reasoning\", \"reasoning_text\"])\n for (const field of fields) {\n if (field === undefined) continue\n const text = delta[field]\n if (typeof text === \"string\" && text.length > 0) return { field, text }\n }\n return undefined\n}\n\nconst detailText = (details: ReadonlyArray<unknown>) => {\n const text = details.flatMap((detail) => {\n if (!isRecord(detail)) return []\n if (detail.type === \"reasoning.text\" && typeof detail.text === \"string\" && detail.text) return [detail.text]\n if (detail.type === \"reasoning.summary\" && typeof detail.summary === \"string\" && detail.summary)\n return [detail.summary]\n return []\n })\n if (text.length > 0) return text.join(\"\")\n}\n\nconst appendReasoningDetails = (result: Array<unknown>, details: ReadonlyArray<unknown>) => {\n for (const detail of details) {\n const previous = result.at(-1)\n if (\n !isRecord(previous) ||\n previous.type !== \"reasoning.text\" ||\n !isRecord(detail) ||\n detail.type !== \"reasoning.text\" ||\n conflictingReasoningTextDetails(previous, detail)\n ) {\n result.push(detail)\n continue\n }\n result[result.length - 1] = {\n ...previous,\n ...Object.fromEntries(Object.entries(detail).filter((entry) => entry[1] !== undefined)),\n text: `${typeof previous.text === \"string\" ? previous.text : \"\"}${typeof detail.text === \"string\" ? detail.text : \"\"}`,\n signature: mergeDetailValue(previous.signature, detail.signature),\n format: mergeDetailValue(previous.format, detail.format),\n }\n }\n}\n\nconst mergeDetailValue = (previous: unknown, current: unknown) =>\n previous || current || (previous !== undefined ? previous : current)\n\nconst conflictingReasoningTextDetails = (previous: Record<string, unknown>, current: Record<string, unknown>) =>\n conflictingDetailValue(previous.id, current.id) ||\n conflictingDetailValue(previous.index, current.index) ||\n conflictingDetailValue(previous.format, current.format) ||\n (Boolean(previous.signature) && Boolean(current.signature) && previous.signature !== current.signature)\n\nconst conflictingDetailValue = (previous: unknown, current: unknown) =>\n previous !== undefined && previous !== null && current !== undefined && current !== null && previous !== current\n\nconst reasoningMetadata = (field: ParserState[\"reasoningField\"], details?: ReadonlyArray<unknown>) => ({\n openai: {\n ...(field ? { reasoningField: field } : {}),\n ...(details ? { reasoningDetails: details } : {}),\n },\n})\n\nconst step = (state: ParserState, event: OpenAIChatEvent) =>\n Effect.gen(function* () {\n if (event.error)\n return yield* new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({\n message: event.error.message,\n code: event.error.code === undefined || event.error.code === null ? undefined : String(event.error.code),\n status: typeof event.error.code === \"number\" ? event.error.code : undefined,\n }),\n })\n const events: LLMEvent[] = []\n const usage = mapUsage(event.usage) ?? state.usage\n const choice = event.choices?.[0]\n const rawFinishReason = choice?.finish_reason\n const finishReason =\n rawFinishReason !== undefined && rawFinishReason !== null\n ? { normalized: mapFinishReason(rawFinishReason), raw: choice?.native_finish_reason ?? rawFinishReason }\n : state.finishReason\n const delta = choice?.delta\n const toolDeltas = delta?.tool_calls ?? []\n let tools = state.tools\n let pendingTools = state.pendingTools\n let latestToolIndex = state.latestToolIndex\n let nextToolIndex = state.nextToolIndex\n\n let lifecycle = state.lifecycle\n\n const reasoning = reasoningDelta(delta, state.reasoningField)\n const hasLateContent =\n Boolean(delta?.content) ||\n Boolean(delta?.refusal) ||\n reasoning !== undefined ||\n (Array.isArray(delta?.reasoning_details) && delta.reasoning_details.length > 0) ||\n toolDeltas.some((tool) => Boolean(tool.id) || Boolean(tool.function?.name) || Boolean(tool.function?.arguments))\n if (state.finishReason !== undefined) {\n if (hasLateContent)\n return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat received content after the finish reason\")\n return [{ ...state, usage }, events] as const\n }\n\n const reasoningField = state.reasoningField ?? reasoning?.field\n const detailDelta = Array.isArray(delta?.reasoning_details) ? delta.reasoning_details : undefined\n if (detailDelta !== undefined) appendReasoningDetails(state.reasoningDetails, detailDelta)\n const reasoningDetailsObserved = state.reasoningDetailsObserved || detailDelta !== undefined\n const deltaMetadata = reasoningMetadata(reasoningField)\n const text = detailDelta?.length ? (detailText(detailDelta) ?? reasoning?.text) : reasoning?.text\n if (text !== undefined) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n else if (\n reasoningDetailsObserved &&\n !lifecycle.reasoning.has(\"reasoning-0\") &&\n (Boolean(delta?.content) || Boolean(delta?.refusal) || toolDeltas.length > 0)\n )\n lifecycle = Lifecycle.reasoningStart(lifecycle, events, \"reasoning-0\", deltaMetadata)\n const reasoningEmitted = state.reasoningEmitted || lifecycle.reasoning.has(\"reasoning-0\")\n\n if (delta?.content) {\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n )\n lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.content)\n }\n\n if (delta?.refusal) {\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n )\n lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.refusal)\n }\n\n // Compatible providers may omit indexes. Prefer durable identity, then use\n // batch position for parallel deltas or the latest call for sparse chunks.\n for (const [position, tool] of toolDeltas.entries()) {\n const matched = toolIndexByID(tools, pendingTools, tool.id || undefined)\n const fallback = toolDeltas.length > 1 ? position : (latestToolIndex ?? position)\n const fallbackTool = tools[fallback] ?? pendingTools[fallback]\n const index =\n tool.index ?? matched ?? (tool.id && fallbackTool?.id && fallbackTool.id !== tool.id ? nextToolIndex : fallback)\n const current = tools[index]\n const pending = pendingTools[index]\n const id = current?.id ?? pending?.id ?? (tool.id || undefined)\n const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)\n const text = `${pending?.input ?? \"\"}${tool.function?.arguments ?? \"\"}`\n latestToolIndex = index\n nextToolIndex = Math.max(nextToolIndex, index + 1)\n if (!current && (!id || !name)) {\n pendingTools = {\n ...pendingTools,\n [index]: { id: id || undefined, name: name || undefined, input: text },\n }\n continue\n }\n if (pending) {\n pendingTools = { ...pendingTools }\n delete pendingTools[index]\n }\n const result = ToolStream.appendOrStart(\n ADAPTER,\n tools,\n index,\n { id: id || undefined, name: name || undefined, text },\n \"OpenAI Chat tool call delta is missing id or name\",\n )\n if (ToolStream.isError(result)) return yield* result\n tools = result.tools\n if (result.events.length) lifecycle = Lifecycle.stepStart(lifecycle, events)\n events.push(...result.events)\n }\n\n if (finishReason !== undefined && state.finishReason === undefined && Object.keys(pendingTools).length > 0)\n return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat tool call delta is missing id or name\")\n\n // Finalize accumulated tool inputs eagerly when finish_reason arrives so\n // valid calls and malformed local calls settle independently.\n const finished =\n finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0\n ? yield* ToolStream.finishAll(ADAPTER, tools)\n : undefined\n\n return [\n {\n tools: finished?.tools ?? tools,\n pendingTools,\n toolCallEvents: finished?.events ?? state.toolCallEvents,\n usage,\n finishReason,\n lifecycle,\n reasoningField,\n reasoningDetails: state.reasoningDetails,\n reasoningDetailsObserved,\n reasoningEmitted,\n latestToolIndex,\n nextToolIndex,\n },\n events,\n ] as const\n })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n const events: LLMEvent[] = []\n const toolCallEvents =\n state.finishReason === undefined && Object.keys(state.tools).length > 0\n ? Effect.runSync(ToolStream.finishAll(ADAPTER, state.tools)).events\n : state.toolCallEvents\n const hasToolCalls = toolCallEvents.length > 0\n const reason = state.finishReason\n ? {\n ...state.finishReason,\n normalized:\n state.finishReason.normalized === \"stop\" && hasToolCalls ? \"tool-calls\" : state.finishReason.normalized,\n }\n : { normalized: hasToolCalls ? (\"tool-calls\" as const) : (\"unknown\" as const) }\n const metadata = reasoningMetadata(\n state.reasoningField,\n state.reasoningDetailsObserved ? state.reasoningDetails : undefined,\n )\n const started =\n state.reasoningDetailsObserved && !state.reasoningEmitted\n ? Lifecycle.reasoningStart(state.lifecycle, events, \"reasoning-0\", reasoningMetadata(state.reasoningField))\n : state.lifecycle\n const ended = Lifecycle.reasoningEnd(started, events, \"reasoning-0\", metadata)\n const lifecycle = toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n events.push(...toolCallEvents)\n Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })\n return events\n}\n\n// =============================================================================\n// Protocol And OpenAI Route\n// =============================================================================\n/**\n * The OpenAI Chat protocol — request body construction, body schema, and the\n * streaming-event state machine. Reused by every route that speaks OpenAI Chat\n * over HTTP+SSE: native OpenAI, DeepSeek, TogetherAI, Cerebras, Baseten,\n * Fireworks, DeepInfra, and (once added) Azure OpenAI Chat.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: OpenAIChatBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(OpenAIChatEvent),\n initial: (request) => ({\n tools: ToolStream.empty<number>(),\n pendingTools: {},\n toolCallEvents: [],\n lifecycle: Lifecycle.initial(),\n reasoningField: request.model.compatibility?.reasoningField,\n reasoningDetails: [],\n reasoningDetailsObserved: false,\n reasoningEmitted: false,\n nextToolIndex: 0,\n }),\n step,\n onHalt: finishEvents,\n },\n})\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIChatBody>()\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"openai\",\n providerMetadataKey: \"openai\",\n protocol,\n endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n auth: Auth.none,\n transport: httpTransport,\n})\n\nexport * as OpenAIChat from \"./openai-chat.js\"\n" | ||
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| ||
| "debugId": "C4A28CFF9DEFDD7664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "543E391B291461DC64756E2164756E21", | ||
| "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" | ||
| ], | ||
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| "debugId": "71F0C45AEE33513C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
| ], | ||
| "mappings": "", | ||
| "debugId": "235810AC52924FC664756E2164756E21", | ||
| "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": "1415266F27E0F4B464756E2164756E21", | ||
| "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": "95AC09E649ECC60564756E2164756E21", | ||
| "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 const value = request.providerOptions?.labels\n const labels = ProviderShared.isRecord(value)\n ? Object.fromEntries(\n Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === \"string\"),\n )\n : undefined\n return { ...body, labels }\n})\n\nconst protocol = {\n ...Gemini.protocol,\n body: {\n ...Gemini.protocol.body,\n from: fromRequest,\n },\n}\n\nconst route = Route.make({\n id: \"google-vertex-gemini\",\n provider: id,\n providerMetadataKey: \"google\",\n protocol,\n endpoint: Endpoint.path(({ request }) => {\n const model = String(request.model.id)\n return `/${model.startsWith(\"endpoints/\") ? model : `models/${model}`}:streamGenerateContent?alt=sse`\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config, modelID: string | ModelID) => {\n const {\n accessToken: _accessToken,\n apiKey: _apiKey,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const apiKey = GoogleVertexShared.apiKey(input)\n const endpointModel = String(modelID).startsWith(\"endpoints/\")\n if (apiKey !== undefined && endpointModel)\n throw new Error(\"Google Vertex tuned models do not support Express Mode API keys\")\n const location = GoogleVertexShared.location(inputLocation, \"us-central1\")\n const project = GoogleVertexShared.project(inputProject)\n const endpoint =\n baseURL ??\n (apiKey\n ? \"https://aiplatform.googleapis.com/v1/publishers/google\"\n : `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? \"\" : \"/publishers/google\"}`)\n return route.with({\n ...rest,\n endpoint: { baseURL: endpoint },\n auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header(\"x-goog-api-key\", apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n return {\n id,\n model: (modelID: string | ModelID) =>\n configuredRoute(input, modelID).model<GeminiProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\nexport const model: ProviderPackage.Definition<Settings, GeminiProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n if (settings.apiKey !== undefined && settings.accessToken !== undefined)\n throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n return configure({\n ...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { apiKey: settings.apiKey }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "F625C9D39147203864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "686DA092DEA17A1264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/theme/system.ts"], | ||
| "sourcesContent": [ | ||
| "import { RGBA, type TerminalColors } from \"@opentui/core\"\nimport { ansiToRgba, tint } from \"./color\"\n\nexport function terminalMode(colors: TerminalColors): \"dark\" | \"light\" | undefined {\n const bg = colors.defaultBackground\n if (!bg) return\n const { r, g, b } = RGBA.fromHex(bg)\n return 0.299 * r + 0.587 * g + 0.114 * b > 0.5 ? \"light\" : \"dark\"\n}\n\nexport function generateSystem(colors: TerminalColors, mode: \"dark\" | \"light\") {\n const bg = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n const fg = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n const transparent = RGBA.fromValues(bg.r, bg.g, bg.b, 0)\n const isDark = mode === \"dark\"\n\n const col = (index: number) => {\n const value = colors.palette[index]\n if (value) return RGBA.fromHex(value)\n return ansiToRgba(index)\n }\n\n const grays = generateGrayScale(bg, isDark)\n const textMuted = generateMutedTextColor(bg, isDark)\n const ansiColors = {\n red: col(1),\n green: col(2),\n yellow: col(3),\n blue: col(4),\n magenta: col(5),\n cyan: col(6),\n redBright: col(9),\n greenBright: col(10),\n }\n\n const diffAlpha = isDark ? 0.22 : 0.14\n const diffAddedBg = tint(bg, ansiColors.green, diffAlpha)\n const diffRemovedBg = tint(bg, ansiColors.red, diffAlpha)\n const diffContextBg = grays[2]\n const diffAddedLineNumberBg = tint(diffContextBg, ansiColors.green, diffAlpha)\n const diffRemovedLineNumberBg = tint(diffContextBg, ansiColors.red, diffAlpha)\n\n return {\n theme: {\n primary: ansiColors.cyan,\n secondary: ansiColors.magenta,\n accent: ansiColors.cyan,\n error: ansiColors.red,\n warning: ansiColors.yellow,\n success: ansiColors.green,\n info: ansiColors.cyan,\n text: fg,\n textMuted,\n selectedListItemText: bg,\n background: transparent,\n backgroundPanel: grays[2],\n backgroundElement: grays[3],\n backgroundMenu: grays[3],\n borderSubtle: grays[6],\n border: grays[7],\n borderActive: grays[8],\n diffAdded: ansiColors.green,\n diffRemoved: ansiColors.red,\n diffContext: grays[7],\n diffHunkHeader: grays[7],\n diffHighlightAdded: ansiColors.greenBright,\n diffHighlightRemoved: ansiColors.redBright,\n diffAddedBg,\n diffRemovedBg,\n diffContextBg,\n diffLineNumber: textMuted,\n diffAddedLineNumberBg,\n diffRemovedLineNumberBg,\n markdownText: fg,\n markdownHeading: fg,\n markdownLink: ansiColors.blue,\n markdownLinkText: ansiColors.cyan,\n markdownCode: ansiColors.green,\n markdownBlockQuote: ansiColors.yellow,\n markdownEmph: ansiColors.yellow,\n markdownStrong: fg,\n markdownHorizontalRule: grays[7],\n markdownListItem: ansiColors.blue,\n markdownListEnumeration: ansiColors.cyan,\n markdownImage: ansiColors.blue,\n markdownImageText: ansiColors.cyan,\n markdownCodeBlock: fg,\n syntaxComment: textMuted,\n syntaxKeyword: ansiColors.magenta,\n syntaxFunction: ansiColors.blue,\n syntaxVariable: fg,\n syntaxString: ansiColors.green,\n syntaxNumber: ansiColors.yellow,\n syntaxType: ansiColors.cyan,\n syntaxOperator: ansiColors.cyan,\n syntaxPunctuation: fg,\n },\n }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean): Record<number, RGBA> {\n const grays: Record<number, RGBA> = {}\n const bgR = bg.r * 255\n const bgG = bg.g * 255\n const bgB = bg.b * 255\n const luminance = 0.299 * bgR + 0.587 * bgG + 0.114 * bgB\n\n for (let i = 1; i <= 12; i++) {\n const factor = i / 12\n\n if (isDark && luminance < 10) {\n const gray = Math.floor(factor * 0.4 * 255)\n grays[i] = RGBA.fromInts(gray, gray, gray)\n continue\n }\n\n if (!isDark && luminance > 245) {\n const gray = Math.floor(255 - factor * 0.4 * 255)\n grays[i] = RGBA.fromInts(gray, gray, gray)\n continue\n }\n\n const next = isDark ? luminance + (255 - luminance) * factor * 0.4 : luminance * (1 - factor * 0.4)\n const ratio = next / luminance\n grays[i] = RGBA.fromInts(\n Math.floor(Math.min(Math.max(bgR * ratio, 0), 255)),\n Math.floor(Math.min(Math.max(bgG * ratio, 0), 255)),\n Math.floor(Math.min(Math.max(bgB * ratio, 0), 255)),\n )\n }\n\n return grays\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean): RGBA {\n const luminance = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n if (isDark) {\n const gray = luminance < 10 ? 180 : Math.min(Math.floor(160 + luminance * 0.3), 200)\n return RGBA.fromInts(gray, gray, gray)\n }\n\n const gray = luminance > 245 ? 75 : Math.max(Math.floor(100 - (255 - luminance) * 0.2), 60)\n return RGBA.fromInts(gray, gray, gray)\n}\n" | ||
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| "debugId": "22F496C5ED92A0D864756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/command.ts", "../schema/src/websearch.ts", "../schema/src/reference.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Command from \"./command.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Agent } from \"./agent.js\"\n\nconst Updated = ephemeral({ type: \"command.updated\", schema: {} })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n name: Schema.String,\n template: Schema.String,\n description: Schema.String.pipe(optional),\n agent: Agent.ID.pipe(optional),\n model: Model.Ref.pipe(optional),\n subtask: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Command.Info\" })\n\nexport const Event = {\n Updated,\n Definitions: inventory(Updated),\n}\n", | ||
| "export * as WebSearch from \"./websearch.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"WebSearch.ID\"))\nexport type ID = typeof ID.Type\n\nexport interface Provider extends Schema.Schema.Type<typeof Provider> {}\nexport const Provider = Schema.Struct({\n id: ID,\n name: Schema.String,\n}).annotate({ identifier: \"WebSearch.Provider\" })\n\nexport interface Input extends Schema.Schema.Type<typeof Input> {}\nexport const Input = Schema.Struct({\n query: Schema.String,\n providerID: ID.pipe(optional),\n}).annotate({ identifier: \"WebSearch.Input\" })\nexport type ProviderInput = Pick<Input, \"query\">\n\nexport interface Result extends Schema.Schema.Type<typeof Result> {}\nexport const Result = Schema.Struct({\n url: Schema.String,\n title: Schema.String.pipe(optional),\n content: Schema.String.pipe(optional),\n time: Schema.Struct({\n published: Schema.Finite.pipe(optional),\n }),\n}).annotate({ identifier: \"WebSearch.Result\" })\n\nexport class Response extends Schema.Class<Response>(\"WebSearch.Response\")({\n providerID: ID,\n results: Schema.Array(Result),\n}) {}\n\nconst Updated = ephemeral({\n type: \"websearch.updated\",\n schema: {},\n})\nexport const Event = { Updated, Definitions: inventory(Updated) }\n", | ||
| "export * as Reference from \"./reference.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { AbsolutePath } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"reference.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface LocalSource extends Schema.Schema.Type<typeof LocalSource> {}\nexport const LocalSource = Schema.Struct({\n type: Schema.Literal(\"local\"),\n path: AbsolutePath,\n description: Schema.String.pipe(optional),\n hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.LocalSource\" })\n\nexport interface GitSource extends Schema.Schema.Type<typeof GitSource> {}\nexport const GitSource = Schema.Struct({\n type: Schema.Literal(\"git\"),\n repository: Schema.String,\n branch: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.GitSource\" })\n\nexport const Source = Schema.Union([LocalSource, GitSource])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Reference.Source\" })\nexport type Source = typeof Source.Type\n\nexport const Info = Schema.Struct({\n name: Schema.String,\n path: AbsolutePath,\n description: Schema.String.pipe(optional),\n hidden: Schema.Boolean.pipe(optional),\n source: Source,\n}).annotate({ identifier: \"Reference.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n" | ||
| ], | ||
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| "debugId": "0E5319DA04BB503564756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../core/src/image/photon-wasm.bun.ts", "../core/src/image/photon.ts"], | ||
| "sourcesContent": [ | ||
| "// @ts-ignore Bun embeds static file imports when compiling the CLI.\nimport photonWasm from \"@silvia-odwyer/photon-node/photon_rs_bg.wasm\" with { type: \"file\" }\n\nexport default photonWasm\n", | ||
| "import photonWasm from \"#photon-wasm\"\nimport { Effect } from \"effect\"\nimport path from \"node:path\"\nimport { fileURLToPath } from \"node:url\"\nimport { FileSystem } from \"../filesystem.js\"\nimport { DecodeError, ResizerUnavailableError, SizeError } from \"../image.js\"\n\nconst JPEG_QUALITIES = [80, 85, 70, 55, 40]\n\nexport const make = Effect.gen(function* () {\n ;(globalThis as typeof globalThis & { __OPENCODE_PHOTON_WASM_PATH?: string }).__OPENCODE_PHOTON_WASM_PATH =\n path.isAbsolute(photonWasm) ? photonWasm : fileURLToPath(new URL(photonWasm, import.meta.url))\n const loadPhoton = yield* Effect.cached(\n Effect.tryPromise({\n try: () => import(\"@silvia-odwyer/photon-node\"),\n catch: () => new ResizerUnavailableError(),\n }),\n )\n return Effect.fn(\"Image.Photon.normalize\")(function* (\n resource: string,\n content: FileSystem.Content & { readonly encoding: \"base64\" },\n limits: {\n readonly autoResize: boolean\n readonly maxWidth: number\n readonly maxHeight: number\n readonly maxBase64Bytes: number\n },\n ) {\n const photon = yield* loadPhoton\n const decoded = yield* Effect.try({\n try: () => photon.PhotonImage.new_from_byteslice(Buffer.from(content.content, \"base64\")),\n catch: () => new DecodeError({ resource }),\n })\n try {\n const width = decoded.get_width()\n const height = decoded.get_height()\n const bytes = Buffer.byteLength(content.content, \"utf-8\")\n if (width <= limits.maxWidth && height <= limits.maxHeight && bytes <= limits.maxBase64Bytes) return content\n if (!limits.autoResize)\n return yield* new SizeError({\n resource,\n width,\n height,\n bytes,\n maxWidth: limits.maxWidth,\n maxHeight: limits.maxHeight,\n maxBytes: limits.maxBase64Bytes,\n })\n const scale = Math.min(1, limits.maxWidth / width, limits.maxHeight / height)\n const sizes = Array.from({ length: 32 }).reduce<Array<{ width: number; height: number }>>((acc) => {\n const previous = acc.at(-1) ?? {\n width: Math.max(1, Math.round(width * scale)),\n height: Math.max(1, Math.round(height * scale)),\n }\n const next =\n acc.length === 0\n ? previous\n : {\n width: previous.width === 1 ? 1 : Math.max(1, Math.floor(previous.width * 0.75)),\n height: previous.height === 1 ? 1 : Math.max(1, Math.floor(previous.height * 0.75)),\n }\n return acc.some((item) => item.width === next.width && item.height === next.height) ? acc : [...acc, next]\n }, [])\n for (const size of sizes) {\n const resized = photon.resize(decoded, size.width, size.height, photon.SamplingFilter.Lanczos3)\n try {\n const encoders: Array<readonly [mime: string, encode: () => Uint8Array]> = [\n [\"image/png\", () => resized.get_bytes()],\n ...JPEG_QUALITIES.map((quality) => [\"image/jpeg\", () => resized.get_bytes_jpeg(quality)] as const),\n ]\n for (const [mime, encode] of encoders) {\n const candidate = Buffer.from(encode()).toString(\"base64\")\n if (Buffer.byteLength(candidate, \"utf-8\") <= limits.maxBase64Bytes)\n return { ...content, content: candidate, encoding: \"base64\" as const, mime }\n }\n } finally {\n resized.free()\n }\n }\n return yield* new SizeError({\n resource,\n width,\n height,\n bytes,\n maxWidth: limits.maxWidth,\n maxHeight: limits.maxHeight,\n maxBytes: limits.maxBase64Bytes,\n })\n } finally {\n decoded.free()\n }\n })\n})\n" | ||
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| "debugId": "343DFC03223B477C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/demo.ts"], | ||
| "sourcesContent": [ | ||
| "// Demo mode for testing direct interactive mode without a real SDK.\n//\n// Enabled with `--demo`. Intercepts prompt submissions and drives the same\n// presentation commits and footer actions as the live transport. This\n// lets you test scrollback formatting, permission UI, canonical Form UI, and tool\n// snapshots without making actual model calls. Pass a demo slash command as\n// the initial interactive message to trigger a preview immediately.\n//\n// Slash commands:\n// /permission [kind] → triggers a permission request variant\n// /form [kind] → triggers a canonical Form request variant\n// /fmt <kind> → emits a specific tool/text type (text, reasoning, shell,\n// write, edit, patch, subagent, question, error, mix)\n//\n// Demo mode handles permission and Form replies locally, completing or failing\n// the synthetic tool parts through the same callbacks used by the live footer.\nimport path from \"path\"\nimport type { JsonValue, SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { parseSlashHead } from \"../prompt/parse\"\nimport { writeSessionOutput } from \"./stream\"\nimport { toolCommit, toolFinalPhase } from \"./stream-v2.subagent\"\nimport type {\n FooterApi,\n FooterView,\n FormCancel,\n FormReply,\n MiniFormRequest,\n MiniPermissionRequest,\n PermissionReply,\n RunPrompt,\n StreamCommit,\n} from \"./types\"\n\nconst KINDS = [\n \"markdown\",\n \"table\",\n \"text\",\n \"reasoning\",\n \"shell\",\n \"write\",\n \"edit\",\n \"patch\",\n \"subagent\",\n \"question\",\n \"error\",\n \"mix\",\n]\nconst PERMISSIONS = [\"edit\", \"shell\", \"read\", \"subagent\", \"external\", \"doom\"] as const\nconst FORMS = [\"question\", \"external\"] as const\n\ntype PermissionKind = (typeof PERMISSIONS)[number]\ntype FormKind = (typeof FORMS)[number]\n\nfunction permissionKind(value: string | undefined): PermissionKind | undefined {\n const next = (value || \"edit\").toLowerCase()\n return PERMISSIONS.find((item) => item === next)\n}\n\nfunction formKind(value: string | undefined): FormKind | undefined {\n const next = (value || \"question\").toLowerCase()\n return FORMS.find((item) => item === next)\n}\n\nconst SAMPLE_MARKDOWN = [\n \"# Direct Mode Demo\",\n \"\",\n \"This is a realistic assistant response for direct-mode formatting checks.\",\n \"It mixes **bold**, _italic_, `inline code`, links, code fences, and tables in one streamed reply.\",\n \"\",\n \"## Summary\",\n \"\",\n \"- Restored the final markdown flush so the last block is committed on idle.\",\n \"- Switched markdown scrollback commits back to top-level block boundaries.\",\n \"- Added footer-level regression coverage for split-footer rendering.\",\n \"\",\n \"## Status\",\n \"\",\n \"| Area | Before | After | Notes |\",\n \"| --- | --- | --- | --- |\",\n \"| Direct mode | Missing final rows | Stable | Final markdown block now flushes on idle |\",\n \"| Tables | Dropped in streaming mode | Visible | Block-based commits match the working OpenTUI demo |\",\n \"| Tests | Partial coverage | Broader coverage | Includes a footer-level split render capture |\",\n \"\",\n \"> This sample intentionally includes a wide table so you can spot wrapping and commit bugs quickly.\",\n \"\",\n \"```ts\",\n \"const result = { markdown: true, tables: 2, stable: true }\",\n \"```\",\n \"\",\n \"## Files\",\n \"\",\n \"| File | Change |\",\n \"| --- | --- |\",\n \"| `scrollback.surface.ts` | Align markdown commit logic with the split-footer demo |\",\n \"| `footer.ts` | Keep active surfaces across footer-height-only resizes |\",\n \"| `footer.test.ts` | Capture real split-footer markdown payloads during idle completion |\",\n \"\",\n \"Next step: run `/fmt table` if you want a tighter table-only sample.\",\n].join(\"\\n\")\n\nconst SAMPLE_TABLE = [\n \"# Table Sample\",\n \"\",\n \"| Kind | Example | Notes |\",\n \"| --- | --- | --- |\",\n \"| Pipe | `A\\\\|B` | Escaped pipes should stay in one cell |\",\n \"| Unicode | `漢字` | Wide characters should remain aligned |\",\n \"| Wrap | `LongTokenWithoutNaturalBreaks_1234567890` | Useful for width stress |\",\n \"| Status | done | Final row should still appear after idle |\",\n].join(\"\\n\")\n\ntype Ref = {\n msg: string\n call: string\n tool: string\n input: Record<string, JsonValue>\n start: number\n}\n\ntype FormRequest = {\n ref: Ref\n kind: FormKind\n request: MiniFormRequest\n}\n\ntype Perm = {\n ref: Ref\n done: {\n output: string\n metadata?: Record<string, JsonValue>\n }\n}\n\ntype Permit = {\n ref: Ref\n permission: string\n patterns: string[]\n metadata?: MiniPermissionRequest[\"metadata\"]\n always: string[]\n done: Perm[\"done\"]\n}\n\ntype State = {\n id: string\n thinking: boolean\n footer: FooterApi\n msg: number\n part: number\n call: number\n perm: number\n form: number\n perms: Map<string, Perm>\n forms: Map<string, FormRequest>\n started: Set<string>\n}\n\ntype Input = {\n sessionID: string\n thinking: boolean\n footer: FooterApi\n}\n\nfunction note(footer: FooterApi, text: string): void {\n footer.append({\n kind: \"system\",\n text,\n phase: \"start\",\n source: \"system\",\n })\n}\n\nfunction clearSubagent(footer: FooterApi): void {\n footer.event({\n type: \"stream.subagent\",\n state: {\n tabs: [],\n details: {},\n permissions: [],\n forms: [],\n },\n })\n}\n\nfunction showSubagent(\n state: State,\n input: {\n sessionID: string\n label: string\n description: string\n status: \"running\" | \"completed\" | \"cancelled\" | \"error\"\n title?: string\n commits: StreamCommit[]\n },\n) {\n state.footer.event({\n type: \"stream.subagent\",\n state: {\n tabs: [\n {\n sessionID: input.sessionID,\n label: input.label,\n description: input.description,\n status: input.status,\n title: input.title,\n },\n ],\n details: {\n [input.sessionID]: {\n commits: input.commits,\n },\n },\n permissions: [],\n forms: [],\n },\n })\n}\n\nfunction wait(ms: number, signal?: AbortSignal): Promise<void> {\n return new Promise((resolve) => {\n if (!signal) {\n setTimeout(resolve, ms)\n return\n }\n\n if (signal.aborted) {\n resolve()\n return\n }\n\n const done = () => {\n clearTimeout(timer)\n signal.removeEventListener(\"abort\", done)\n resolve()\n }\n\n const timer = setTimeout(() => {\n signal.removeEventListener(\"abort\", done)\n resolve()\n }, ms)\n\n signal.addEventListener(\"abort\", done, { once: true })\n })\n}\n\nfunction split(text: string): string[] {\n if (text.length <= 48) {\n return [text]\n }\n\n const size = Math.ceil(text.length / 3)\n return [text.slice(0, size), text.slice(size, size * 2), text.slice(size * 2)]\n}\n\nfunction take(state: State, key: \"msg\" | \"part\" | \"call\" | \"perm\", prefix: string): string {\n state[key] += 1\n return `demo_${prefix}_${state[key]}`\n}\n\nfunction present(state: State, commits: StreamCommit[], view?: FooterView): void {\n writeSessionOutput(\n { footer: state.footer },\n {\n commits,\n updates: view\n ? [\n {\n type: \"stream.patch\" as const,\n patch: { status: view.type === \"permission\" ? \"awaiting permission\" : \"awaiting form\" },\n },\n { type: \"stream.view\" as const, view },\n ]\n : undefined,\n },\n )\n}\n\nfunction clearBlocker(state: State): void {\n writeSessionOutput(\n { footer: state.footer },\n {\n commits: [],\n updates: [\n { type: \"stream.patch\", patch: { status: \"\" } },\n { type: \"stream.view\", view: { type: \"prompt\" } },\n ],\n },\n )\n}\n\nfunction open(state: State): string {\n return take(state, \"msg\", \"msg\")\n}\n\nasync function emitText(state: State, body: string, signal?: AbortSignal): Promise<void> {\n const msg = open(state)\n const part = take(state, \"part\", \"part\")\n for (const item of split(body)) {\n if (signal?.aborted) {\n return\n }\n\n present(state, [\n { kind: \"assistant\", source: \"assistant\", text: item, phase: \"progress\", messageID: msg, partID: part },\n ])\n await wait(45, signal)\n }\n}\n\nasync function emitReasoning(state: State, body: string, signal?: AbortSignal): Promise<void> {\n const msg = open(state)\n const part = take(state, \"part\", \"part\")\n let first = true\n for (const item of split(body)) {\n if (signal?.aborted) {\n return\n }\n\n if (state.thinking) {\n present(state, [\n {\n kind: \"reasoning\",\n source: \"reasoning\",\n text: first ? `Thinking: ${item.replace(/\\[REDACTED\\]/g, \"\")}` : item.replace(/\\[REDACTED\\]/g, \"\"),\n phase: \"progress\",\n messageID: msg,\n partID: part,\n },\n ])\n first = false\n }\n await wait(45, signal)\n }\n}\n\nfunction make(state: State, tool: string, input: Record<string, JsonValue>): Ref {\n return {\n msg: open(state),\n call: take(state, \"call\", \"call\"),\n tool,\n input,\n start: Date.now(),\n }\n}\n\nfunction startTool(state: State, ref: Ref, metadata: Record<string, JsonValue> = {}): SessionMessageAssistantTool {\n state.started.add(ref.call)\n const part = {\n type: \"tool\" as const,\n id: ref.call,\n name: ref.tool,\n state: { status: \"running\" as const, input: ref.input, metadata },\n time: { created: ref.start, ran: ref.start },\n }\n present(state, [toolCommit(part, ref.msg, \"start\")])\n return part\n}\n\nfunction askPermission(state: State, item: Permit): void {\n const tool = startTool(state, item.ref)\n\n const id = take(state, \"perm\", \"perm\")\n state.perms.set(id, {\n ref: item.ref,\n done: item.done,\n })\n\n present(state, [], {\n type: \"permission\",\n request: {\n id,\n sessionID: state.id,\n action: item.permission,\n resources: item.patterns,\n metadata: item.metadata ?? {},\n save: item.always,\n source: { type: \"tool\", messageID: item.ref.msg, id: item.ref.call },\n tool,\n },\n })\n}\n\nfunction doneTool(\n state: State,\n ref: Ref,\n output: {\n output: string\n metadata?: Record<string, JsonValue>\n },\n): void {\n if (!state.started.has(ref.call)) startTool(state, ref)\n const part: SessionMessageAssistantTool = {\n type: \"tool\",\n id: ref.call,\n name: ref.tool,\n state: {\n status: \"completed\",\n input: ref.input,\n content: [{ type: \"text\", text: output.output }],\n metadata: output.metadata,\n },\n time: { created: ref.start, ran: ref.start, completed: Date.now() },\n }\n present(state, [toolCommit(part, ref.msg, toolFinalPhase(part))])\n}\n\nfunction failTool(state: State, ref: Ref, error: string): void {\n if (!state.started.has(ref.call)) startTool(state, ref)\n present(state, [\n toolCommit(\n {\n type: \"tool\",\n id: ref.call,\n name: ref.tool,\n state: {\n status: \"error\",\n input: ref.input,\n error: { type: \"unknown\", message: error },\n },\n time: { created: ref.start, ran: ref.start, completed: Date.now() },\n },\n ref.msg,\n \"final\",\n ),\n ])\n}\n\nfunction emitError(state: State, text: string): void {\n present(state, [{ kind: \"error\", source: \"system\", text, phase: \"start\" }])\n}\n\nasync function emitBash(state: State, signal?: AbortSignal): Promise<void> {\n const ref = make(state, \"shell\", {\n command: \"git status\",\n workdir: process.cwd(),\n description: \"Show git status\",\n })\n startTool(state, ref)\n await wait(70, signal)\n doneTool(state, ref, {\n output: `${process.cwd()}\\ngit status\\nOn branch demo\\nnothing to commit, working tree clean\\n`,\n metadata: {\n exit: 0,\n },\n })\n}\n\nfunction emitWrite(state: State): void {\n const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n const ref = make(state, \"write\", {\n path: file,\n content: \"export const demo = 42\\n\",\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {},\n })\n}\n\nfunction emitEdit(state: State): void {\n const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n const ref = make(state, \"edit\", {\n path: file,\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n files: [\n {\n file,\n status: \"modified\",\n patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n },\n ],\n },\n })\n}\n\nfunction emitPatch(state: State): void {\n const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n const ref = make(state, \"patch\", {\n patchText: \"*** Begin Patch\\n*** End Patch\",\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n files: [\n {\n status: \"modified\",\n file,\n patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n deletions: 1,\n },\n {\n status: \"added\",\n file: path.join(process.cwd(), \"README-demo.md\"),\n patch: \"@@ -0,0 +1,4 @@\\n+# Demo\\n+This is a generated preview file.\\n\",\n deletions: 0,\n },\n ],\n },\n })\n}\n\nfunction emitTask(state: State): void {\n const ref = make(state, \"subagent\", {\n description: \"Scan run/* for reducer touchpoints\",\n agent: \"explore\",\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n sessionID: \"ses_demo_child\",\n status: \"completed\",\n output: \"\",\n },\n })\n const part = {\n type: \"tool\",\n id: \"sub_demo_call_1\",\n name: \"read\",\n state: {\n status: \"running\",\n input: {\n path: \"packages/tui/src/mini/stream.ts\",\n offset: 1,\n limit: 200,\n },\n metadata: {},\n },\n time: { created: Date.now(), ran: Date.now() },\n } satisfies SessionMessageAssistantTool\n showSubagent(state, {\n sessionID: \"ses_demo_child\",\n label: \"Explore\",\n description: \"Scan run/* for reducer touchpoints\",\n status: \"completed\",\n title: \"Reducer touchpoints found\",\n commits: [\n {\n kind: \"user\",\n text: \"Scan run/* for reducer touchpoints\",\n phase: \"start\",\n source: \"system\",\n },\n {\n kind: \"reasoning\",\n text: \"Thinking: tracing reducer and footer boundaries\",\n phase: \"progress\",\n source: \"reasoning\",\n messageID: \"sub_demo_msg_reasoning\",\n partID: \"sub_demo_reasoning_1\",\n },\n toolCommit(part, \"sub_demo_msg_tool\", \"start\"),\n {\n kind: \"assistant\",\n text: \"Footer updates flow through stream.ts into RunFooter\",\n phase: \"progress\",\n source: \"assistant\",\n messageID: \"sub_demo_msg_text\",\n partID: \"sub_demo_text_1\",\n },\n ],\n })\n}\n\nfunction emitQuestionTool(state: State): void {\n const ref = make(state, \"question\", {\n questions: [\n {\n header: \"Style\",\n question: \"Which output style do you want to inspect?\",\n options: [\n { label: \"Diff\", description: \"Show diff block\" },\n { label: \"Code\", description: \"Show code block\" },\n ],\n multiple: false,\n custom: false,\n },\n {\n header: \"Extras\",\n question: \"Pick extra rows\",\n options: [\n { label: \"Usage\", description: \"Add usage row\" },\n { label: \"Duration\", description: \"Add duration row\" },\n ],\n multiple: true,\n custom: true,\n },\n ],\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n answers: [[\"Diff\"], [\"Usage\", \"custom-note\"]],\n },\n })\n}\n\nfunction emitPermission(state: State, kind: PermissionKind = \"edit\"): void {\n const root = process.cwd()\n const file = path.join(root, \"src\", \"demo-format.ts\")\n\n if (kind === \"shell\") {\n const command = \"git status --short\"\n const ref = make(state, \"shell\", {\n command,\n workdir: root,\n description: \"Inspect worktree changes\",\n })\n askPermission(state, {\n ref,\n permission: \"shell\",\n patterns: [command],\n always: [\"*\"],\n done: {\n output: `${root}\\ngit status --short\\n M src/demo-format.ts\\n?? src/demo-permission.ts\\n`,\n metadata: {\n exit: 0,\n },\n },\n })\n return\n }\n\n if (kind === \"read\") {\n const target = path.join(root, \"package.json\")\n const ref = make(state, \"read\", {\n path: target,\n offset: 1,\n limit: 80,\n })\n askPermission(state, {\n ref,\n permission: \"read\",\n patterns: [target],\n always: [target],\n done: {\n output: [\"1: {\", '2: \"name\": \"opencode\",', '3: \"private\": true', \"4: }\"].join(\"\\n\"),\n metadata: {},\n },\n })\n return\n }\n\n if (kind === \"subagent\") {\n const ref = make(state, \"subagent\", {\n description: \"Inspect footer spacing across direct-mode prompts\",\n agent: \"explore\",\n })\n askPermission(state, {\n ref,\n permission: \"subagent\",\n patterns: [\"explore\"],\n always: [\"*\"],\n done: {\n output: \"\",\n metadata: {\n sessionID: \"sub_demo_perm_1\",\n status: \"completed\",\n output: \"\",\n },\n },\n })\n return\n }\n\n if (kind === \"external\") {\n const dir = path.join(path.dirname(root), \"demo-shared\")\n const target = path.join(dir, \"README.md\")\n const ref = make(state, \"read\", {\n path: target,\n offset: 1,\n limit: 40,\n })\n askPermission(state, {\n ref,\n permission: \"external_directory\",\n patterns: [`${dir}/**`],\n metadata: {\n parentDir: dir,\n filepath: target,\n },\n always: [`${dir}/**`],\n done: {\n output: `1: # External demo\\n2: Shared preview file\\nPath: ${target}`,\n metadata: {},\n },\n })\n return\n }\n\n if (kind === \"doom\") {\n const ref = make(state, \"subagent\", {\n description: \"Retry the formatter after repeated failures\",\n agent: \"general\",\n })\n askPermission(state, {\n ref,\n permission: \"doom_loop\",\n patterns: [\"*\"],\n always: [\"*\"],\n done: {\n output: \"Continuing after repeated failures.\\n\",\n metadata: {},\n },\n })\n return\n }\n\n const diff = \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\"\n const ref = make(state, \"edit\", {\n path: file,\n })\n askPermission(state, {\n ref,\n permission: \"edit\",\n patterns: [file],\n always: [file],\n done: {\n output: \"\",\n metadata: {\n files: [{ file, status: \"modified\", patch: diff }],\n },\n },\n })\n}\n\nfunction demoForm(kind: FormKind): { title: string; fields: MiniFormRequest[\"fields\"]; questions?: JsonValue[] } {\n if (kind === \"question\") {\n const questions: JsonValue[] = [\n {\n header: \"Layout\",\n question: \"Which footer view should be the reference for spacing checks?\",\n options: [\n { label: \"Form\", description: \"Inspect the canonical Form footer\" },\n { label: \"Prompt\", description: \"Return to the normal composer\" },\n ],\n multiple: false,\n custom: true,\n },\n {\n header: \"Checks\",\n question: \"Pick formatting previews\",\n options: [\n { label: \"Diff\", description: \"Emit an edit diff\" },\n { label: \"Subagent\", description: \"Emit a subagent card\" },\n ],\n multiple: true,\n custom: true,\n },\n ]\n return {\n title: \"Questions\",\n questions,\n fields: [\n {\n key: \"q0\",\n title: \"Layout\",\n description: \"Which footer view should be the reference for spacing checks?\",\n type: \"string\",\n options: [\n { value: \"Form\", label: \"Form\", description: \"Inspect the canonical Form footer\" },\n { value: \"Prompt\", label: \"Prompt\", description: \"Return to the normal composer\" },\n ],\n custom: true,\n },\n {\n key: \"q1\",\n title: \"Checks\",\n description: \"Pick formatting previews\",\n type: \"multiselect\",\n options: [\n { value: \"Diff\", label: \"Diff\", description: \"Emit an edit diff\" },\n { value: \"Subagent\", label: \"Subagent\", description: \"Emit a subagent card\" },\n ],\n custom: true,\n },\n ],\n }\n }\n return {\n title: \"MCP authorization\",\n fields: [\n {\n key: \"authorization\",\n type: \"external\",\n url: \"https://example.com/opencode-demo\",\n title: \"Authorize demo MCP server\",\n description: \"Complete authorization in your browser\",\n },\n ],\n }\n}\n\nfunction emitForm(state: State, kind: FormKind = \"question\"): void {\n const form = demoForm(kind)\n const ref = make(state, kind === \"question\" ? \"question\" : \"mcp_demo\", {\n ...(form.questions ? { questions: form.questions } : { form: kind }),\n })\n startTool(state, ref)\n state.form++\n const request: MiniFormRequest = {\n id: `frm_demo_${state.form}`,\n sessionID: state.id,\n title: form.title,\n metadata:\n kind === \"question\"\n ? { kind: \"question\", tool: { messageID: ref.msg, id: ref.call } }\n : { kind: \"mcp\", message: `Synthetic ${kind} MCP elicitation` },\n fields: form.fields,\n }\n state.forms.set(request.id, { ref, kind, request })\n present(state, [], { type: \"form\", request })\n}\n\nasync function emitFmt(state: State, kind: string, body: string, signal?: AbortSignal): Promise<boolean> {\n if (kind === \"text\") {\n await emitText(state, body || SAMPLE_MARKDOWN, signal)\n return true\n }\n\n if (kind === \"markdown\" || kind === \"md\") {\n await emitText(state, body || SAMPLE_MARKDOWN, signal)\n return true\n }\n\n if (kind === \"table\") {\n await emitText(state, body || SAMPLE_TABLE, signal)\n return true\n }\n\n if (kind === \"reasoning\") {\n await emitReasoning(state, body || \"Planning next steps [REDACTED] while preserving reducer ordering.\", signal)\n return true\n }\n\n if (kind === \"shell\") {\n await emitBash(state, signal)\n return true\n }\n\n if (kind === \"write\") {\n emitWrite(state)\n return true\n }\n\n if (kind === \"edit\") {\n emitEdit(state)\n return true\n }\n\n if (kind === \"patch\") {\n emitPatch(state)\n return true\n }\n\n if (kind === \"subagent\") {\n emitTask(state)\n return true\n }\n\n if (kind === \"question\") {\n emitQuestionTool(state)\n return true\n }\n\n if (kind === \"error\") {\n emitError(state, body || \"demo error event\")\n return true\n }\n\n if (kind === \"mix\") {\n await emitText(state, SAMPLE_MARKDOWN, signal)\n await wait(50, signal)\n await emitReasoning(state, \"Thinking through formatter edge cases [REDACTED].\", signal)\n await wait(50, signal)\n await emitBash(state, signal)\n emitWrite(state)\n emitEdit(state)\n emitPatch(state)\n emitTask(state)\n emitQuestionTool(state)\n emitError(state, \"demo mixed scenario error\")\n return true\n }\n\n return false\n}\n\nfunction intro(state: State): void {\n note(\n state.footer,\n [\n \"Demo slash commands enabled for interactive mode.\",\n `- /permission [kind] (${PERMISSIONS.join(\", \")})`,\n `- /form [kind] (${FORMS.join(\", \")})`,\n `- /fmt <kind> (${KINDS.join(\", \")})`,\n \"Examples:\",\n \"- /permission shell\",\n \"- /form question\",\n \"- /form external\",\n \"- /fmt markdown\",\n \"- /fmt table\",\n \"- /fmt text your custom text\",\n ].join(\"\\n\"),\n )\n}\n\nexport function createRunDemo(input: Input) {\n const state: State = {\n id: input.sessionID,\n thinking: input.thinking,\n footer: input.footer,\n msg: 0,\n part: 0,\n call: 0,\n perm: 0,\n form: 0,\n perms: new Map(),\n forms: new Map(),\n started: new Set(),\n }\n\n const start = async (): Promise<void> => {\n intro(state)\n }\n\n const prompt = async (line: RunPrompt, signal?: AbortSignal): Promise<boolean> => {\n const text = line.text.trim()\n const head = parseSlashHead(text)\n const list = head?.arguments.split(/\\s+/).filter(Boolean) ?? []\n const cmd = head ? `/${head.name}` : \"\"\n\n clearSubagent(state.footer)\n\n if (cmd === \"/help\") {\n intro(state)\n return true\n }\n\n if (cmd === \"/permission\") {\n const kind = permissionKind(list[0])\n if (!kind) {\n note(state.footer, `Pick a permission kind: ${PERMISSIONS.join(\", \")}`)\n return true\n }\n\n emitPermission(state, kind)\n return true\n }\n\n if (cmd === \"/form\") {\n const kind = formKind(list[0])\n if (!kind) {\n note(state.footer, `Pick a form kind: ${FORMS.join(\", \")}`)\n return true\n }\n\n emitForm(state, kind)\n return true\n }\n\n if (cmd === \"/fmt\") {\n const kind = (list[0] || \"\").toLowerCase()\n const body = list.slice(1).join(\" \")\n if (!kind) {\n note(state.footer, `Pick a kind: ${KINDS.join(\", \")}`)\n return true\n }\n\n const ok = await emitFmt(state, kind, body, signal)\n if (ok) {\n return true\n }\n\n note(state.footer, `Unknown kind \"${kind}\". Use: ${KINDS.join(\", \")}`)\n return true\n }\n\n return false\n }\n\n const permission = (input: PermissionReply): boolean => {\n const item = state.perms.get(input.requestID)\n if (!item || !input.reply) {\n return false\n }\n\n state.perms.delete(input.requestID)\n clearBlocker(state)\n\n if (input.reply === \"reject\") {\n failTool(state, item.ref, input.message || \"permission rejected\")\n return true\n }\n\n doneTool(state, item.ref, item.done)\n return true\n }\n\n const formReply = (input: FormReply): boolean => {\n const form = state.forms.get(input.formID)\n if (!form || input.sessionID !== form.request.sessionID) return false\n state.forms.delete(input.formID)\n clearBlocker(state)\n if (form.kind === \"question\") {\n doneTool(state, form.ref, {\n output: \"\",\n metadata: {\n answers: form.request.fields.map((field) => {\n const value = input.answer[field.key]\n if (value === undefined) return []\n return Array.isArray(value) ? [...value] : [String(value)]\n }),\n },\n })\n return true\n }\n doneTool(state, form.ref, {\n output: `Form submitted: ${Object.entries(input.answer)\n .map(([key, value]) => `${key}=${Array.isArray(value) ? value.join(\", \") : String(value)}`)\n .join(\"; \")}\\n`,\n metadata: { answer: input.answer },\n })\n return true\n }\n\n const formCancel = (input: FormCancel): boolean => {\n const form = state.forms.get(input.formID)\n if (!form || input.sessionID !== form.request.sessionID) return false\n state.forms.delete(input.formID)\n clearBlocker(state)\n failTool(state, form.ref, \"form cancelled\")\n return true\n }\n\n return {\n start,\n prompt,\n permission,\n formReply,\n formCancel,\n }\n}\n" | ||
| ], | ||
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| ||
| "debugId": "CC9558C95677DC1264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../core/src/workspace/driver.ts", "../core/src/workspace/sql.ts", "../core/src/workspace.ts", "../core/src/environment/files.ts", "../core/src/environment/exec-defaults.ts", "../core/src/environment/local.ts", "../core/src/environment/memory.ts", "../core/src/environment/environment.ts", "../core/src/environment/index.ts"], | ||
| "sourcesContent": [ | ||
| "export * as WorkspaceDriver from \"./driver.js\"\n\nimport { Workspace } from \"@opencode-ai/schema/workspace\"\nimport { makeGlobalNode } from \"@opencode-ai/util/effect/app-node\"\nimport { Context, Effect, Layer, Schema } from \"effect\"\nimport type { Scope } from \"effect\"\nimport type { Driver as EnvironmentDriver } from \"../environment/driver.js\"\n\n/**\n * Smallest provider-owned JSON value required to reconnect to the same\n * provider resource. Core stores it opaquely and hands it back; only the\n * owning driver reads inside.\n */\nexport const Binding = Schema.Record(Schema.String, Schema.Json)\nexport type Binding = typeof Binding.Type\n\nexport class Error extends Schema.TaggedError<Error>()(\"WorkspaceDriver.Error\", {\n message: Schema.optional(Schema.String),\n cause: Schema.optional(Schema.Defect()),\n}) {}\n\nexport class ProviderNotFound extends Schema.TaggedError<ProviderNotFound>()(\"WorkspaceDriver.ProviderNotFound\", {\n provider: Schema.String,\n}) {}\n\nexport interface Interface {\n readonly create: (input: {\n readonly workspaceID: Workspace.ID\n }) => Effect.Effect<{ readonly binding: Binding }, Error>\n readonly connect: (input: {\n readonly workspaceID: Workspace.ID\n readonly binding: Binding\n readonly saveBinding: (binding: Binding) => Effect.Effect<void>\n }) => Effect.Effect<EnvironmentDriver, Error, Scope.Scope>\n readonly suspendForIdle: (input: {\n readonly workspaceID: Workspace.ID\n readonly binding: Binding\n readonly saveBinding: (binding: Binding) => Effect.Effect<void>\n }) => Effect.Effect<void, Error>\n readonly destroy: (input: {\n readonly workspaceID: Workspace.ID\n readonly binding: Binding\n }) => Effect.Effect<void, Error>\n}\n\nexport const make = (driver: Interface) => driver\n\nexport interface Registry {\n readonly get: (provider: string) => Effect.Effect<Interface, ProviderNotFound>\n}\n\nexport class RegistryService extends Context.Service<RegistryService, Registry>()(\n \"@opencode/WorkspaceDriverRegistry\",\n) {}\n\nexport const registry = (drivers: Readonly<Record<string, Interface>>): Registry => ({\n get: (provider) => {\n const driver = Object.hasOwn(drivers, provider) ? drivers[provider] : undefined\n return driver ? Effect.succeed(driver) : Effect.fail(new ProviderNotFound({ provider }))\n },\n})\n\nexport const registryNode = (drivers: Readonly<Record<string, Interface>>) =>\n makeGlobalNode({\n service: RegistryService,\n layer: Layer.succeed(RegistryService, RegistryService.of(registry(drivers))),\n deps: [],\n })\n\nexport const node = registryNode({})\n", | ||
| "import { Workspace } from \"@opencode-ai/schema/workspace\"\nimport { integer, sqliteTable, text } from \"drizzle-orm/sqlite-core\"\nimport type { WorkspaceDriver } from \"./driver.js\"\n\nexport const WorkspaceTable = sqliteTable(\"workspace\", {\n id: text().$type<Workspace.ID>().primaryKey(),\n provider: text().notNull(),\n binding: text({ mode: \"json\" }).$type<WorkspaceDriver.Binding>().notNull(),\n created_at: integer().notNull(),\n last_used_at: integer().notNull(),\n})\n", | ||
| "export * as Workspace from \"./workspace.js\"\n\nimport { Workspace } from \"@opencode-ai/schema/workspace\"\nimport { makeGlobalNode } from \"@opencode-ai/util/effect/app-node\"\nimport { eq } from \"drizzle-orm\"\nimport { Clock, Context, Duration, Effect, Exit, Layer, Ref, Schedule, Schema, Scope } from \"effect\"\nimport { systemError } from \"effect/PlatformError\"\nimport { make } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Driver as EnvironmentDriver } from \"./environment/driver.js\"\nimport { Database } from \"./database/database.js\"\nimport { KeyedMutex } from \"./effect/keyed-mutex.js\"\nimport { WorkspaceDriver } from \"./workspace/driver.js\"\nimport { WorkspaceTable } from \"./workspace/sql.js\"\n\nexport const ID = Workspace.ID\nexport type ID = Workspace.ID\n\nexport class Info extends Schema.Class<Info>(\"Workspace.Info\")({\n id: ID,\n provider: Schema.String,\n binding: WorkspaceDriver.Binding,\n createdAt: Schema.Number,\n lastUsedAt: Schema.Number,\n}) {}\n\nexport class NotFound extends Schema.TaggedError<NotFound>()(\"Workspace.NotFound\", { workspaceID: ID }) {}\n\nexport interface Interface {\n readonly create: (provider: string) => Effect.Effect<Info, WorkspaceDriver.Error | WorkspaceDriver.ProviderNotFound>\n readonly connect: (\n workspaceID: ID,\n ) => Effect.Effect<EnvironmentDriver, NotFound | WorkspaceDriver.Error | WorkspaceDriver.ProviderNotFound>\n readonly destroy: (\n workspaceID: ID,\n ) => Effect.Effect<void, NotFound | WorkspaceDriver.Error | WorkspaceDriver.ProviderNotFound>\n}\n\nexport interface Options {\n readonly idleThreshold?: Duration.Input\n readonly pollInterval?: Duration.Input\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/Workspace\") {}\n\ninterface Connection {\n readonly driver: WorkspaceDriver.Interface\n readonly environment: EnvironmentDriver\n readonly saveBinding: (binding: WorkspaceDriver.Binding) => Effect.Effect<void>\n readonly lastActivity: Ref.Ref<number>\n readonly active: Ref.Ref<number>\n readonly scope: Scope.Closeable\n}\n\nexport const configured = (options: Options = {}) =>\n makeGlobalNode({\n service: Service,\n layer: layer(options),\n deps: [Database.node, WorkspaceDriver.node],\n })\n\nconst layer = (options: Options) =>\n Layer.effect(\n Service,\n Effect.gen(function* () {\n const db = (yield* Database.Service).db\n const registry = yield* WorkspaceDriver.RegistryService\n const lifetime = yield* Scope.Scope\n const connections = new Map<ID, Connection>()\n const locks = KeyedMutex.makeUnsafe<ID>()\n const idleThreshold = Duration.toMillis(options.idleThreshold ?? Duration.minutes(20))\n\n const load = Effect.fn(\"Workspace.load\")(function* (workspaceID: ID) {\n const row = yield* db\n .select()\n .from(WorkspaceTable)\n .where(eq(WorkspaceTable.id, workspaceID))\n .get()\n .pipe(Effect.orDie)\n if (!row) return yield* new NotFound({ workspaceID })\n return row\n })\n\n const open = Effect.fn(\"Workspace.open\")(function* (workspaceID: ID) {\n const existing = connections.get(workspaceID)\n if (existing) return existing\n\n const row = yield* load(workspaceID)\n const driver = yield* registry.get(row.provider)\n const saveBinding = (value: WorkspaceDriver.Binding) =>\n db\n .update(WorkspaceTable)\n .set({ binding: value })\n .where(eq(WorkspaceTable.id, workspaceID))\n .run()\n .pipe(Effect.orDie)\n const scope = yield* Scope.fork(lifetime)\n const environment = yield* driver.connect({ workspaceID, binding: row.binding, saveBinding }).pipe(\n Effect.provideService(Scope.Scope, scope),\n Effect.onError((cause) => Scope.close(scope, Exit.failCause(cause))),\n )\n const now = yield* Clock.currentTimeMillis\n const connection: Connection = {\n driver,\n environment,\n saveBinding,\n lastActivity: yield* Ref.make(now),\n active: yield* Ref.make(0),\n scope,\n }\n connections.set(workspaceID, connection)\n yield* db\n .update(WorkspaceTable)\n .set({ last_used_at: now })\n .where(eq(WorkspaceTable.id, workspaceID))\n .run()\n .pipe(Effect.orDie)\n return connection\n })\n\n yield* Effect.gen(function* () {\n const now = yield* Clock.currentTimeMillis\n yield* Effect.forEach(\n [...connections.entries()],\n ([workspaceID, expected]) =>\n locks.withLock(workspaceID)(\n Effect.gen(function* () {\n const connection = connections.get(workspaceID)\n if (connection !== expected || (yield* Ref.get(connection.active)) > 0) return\n const lastActivity = yield* Ref.get(connection.lastActivity)\n if (now - lastActivity < idleThreshold) return\n const row = yield* load(workspaceID)\n // Deliberate: a racing spawn blocks, then wakes cleanly. Unlocking mid-suspend could reattach a sandbox being terminated.\n yield* connection.driver.suspendForIdle({\n workspaceID,\n binding: row.binding,\n saveBinding: connection.saveBinding,\n })\n yield* db\n .update(WorkspaceTable)\n .set({ last_used_at: lastActivity })\n .where(eq(WorkspaceTable.id, workspaceID))\n .run()\n .pipe(Effect.orDie)\n connections.delete(workspaceID)\n yield* Scope.close(connection.scope, Exit.void)\n }).pipe(Effect.catchCause((cause) => Effect.logError(\"workspace idle suspension failed\", cause))),\n ),\n { concurrency: \"unbounded\", discard: true },\n )\n }).pipe(Effect.repeat(Schedule.spaced(options.pollInterval ?? Duration.minutes(1))), Effect.forkScoped)\n\n return Service.of({\n create: Effect.fn(\"Workspace.create\")(function* (provider) {\n const driver = yield* registry.get(provider)\n const workspaceID = ID.create()\n const result = yield* driver.create({ workspaceID })\n const now = yield* Clock.currentTimeMillis\n yield* db\n .insert(WorkspaceTable)\n .values({ id: workspaceID, provider, binding: result.binding, created_at: now, last_used_at: now })\n .run()\n .pipe(Effect.orDie)\n return new Info({ id: workspaceID, provider, binding: result.binding, createdAt: now, lastUsedAt: now })\n }),\n connect: Effect.fn(\"Workspace.connect\")(function* (workspaceID) {\n const spawner = make((command) =>\n Effect.acquireRelease(\n locks.withLock(workspaceID)(\n Effect.gen(function* () {\n const connection = yield* open(workspaceID).pipe(\n Effect.mapError((cause) =>\n systemError({\n _tag: \"Unknown\",\n module: \"Workspace\",\n method: \"spawn\",\n description: `Failed to wake workspace ${workspaceID}`,\n cause,\n }),\n ),\n )\n yield* Ref.set(connection.lastActivity, yield* Clock.currentTimeMillis)\n yield* Ref.update(connection.active, (active) => active + 1)\n return connection\n }),\n ),\n (connection) =>\n locks.withLock(workspaceID)(\n Effect.gen(function* () {\n yield* Ref.update(connection.active, (active) => active - 1)\n yield* Ref.set(connection.lastActivity, yield* Clock.currentTimeMillis)\n }),\n ),\n ).pipe(Effect.flatMap((connection) => connection.environment.spawner.spawn(command))),\n )\n // Overrides are connection-bound; per-spawn routing is required before any driver ships them, so they are deliberately omitted.\n return { spawner }\n }),\n destroy: Effect.fn(\"Workspace.destroy\")(function* (workspaceID) {\n yield* locks.withLock(workspaceID)(\n Effect.gen(function* () {\n const row = yield* load(workspaceID)\n const connection = connections.get(workspaceID)\n connections.delete(workspaceID)\n if (connection) yield* Scope.close(connection.scope, Exit.void)\n const driver = yield* registry.get(row.provider)\n yield* driver.destroy({ workspaceID, binding: row.binding })\n yield* db.delete(WorkspaceTable).where(eq(WorkspaceTable.id, workspaceID)).run().pipe(Effect.orDie)\n }),\n )\n }),\n })\n }),\n )\n\nexport const node = configured()\n\n// TODO(workspace-plan): add the boot janitor and ~23h safety snapshot rotation in a later PR.\n// TODO(workspace-plan): make cold wake interruptible with a re-pin loop against janitor races.\n// TODO(workspace-plan): consider RcMap at end-of-series consolidation; idle suspend and destroy need distinct finalizers.\n", | ||
| "import { Effect, Schema } from \"effect\"\n\nexport const FileType = Schema.Literals([\"file\", \"directory\", \"symlink\", \"other\"])\nexport type FileType = typeof FileType.Type\n\nexport interface FileInfo {\n readonly type: FileType\n readonly size: number\n readonly mtimeMs: number\n}\n\nexport interface DirEntry {\n readonly name: string\n readonly type: FileType\n}\n\nexport class NotFound extends Schema.TaggedError<NotFound>()(\"Environment.NotFound\", {\n path: Schema.String,\n}) {}\n\nexport class WrongKind extends Schema.TaggedError<WrongKind>()(\"Environment.WrongKind\", {\n path: Schema.String,\n actual: FileType,\n}) {}\n\nexport class Failed extends Schema.TaggedError<Failed>()(\"Environment.Failed\", {\n path: Schema.String,\n cause: Schema.Defect(),\n}) {}\n\nexport interface FilesImpl {\n /**\n * Content operations (`read`, `list`) follow final symlinks; metadata operations (`stat` and entry\n * tags returned by `list`) do not. `info` describes the target file whose bytes are returned.\n * The process-backed default caps collected output at 64 MiB; larger whole-file reads fail with\n * `Failed`, so callers must use ranges for larger files.\n */\n readonly read: (\n path: string,\n range?: { readonly offset: number; readonly length: number },\n ) => Effect.Effect<{ readonly info: FileInfo; readonly bytes: Uint8Array }, NotFound | WrongKind | Failed>\n readonly write: (path: string, bytes: Uint8Array) => Effect.Effect<void, Failed>\n /** Describes the path entry itself, so a final symlink is reported as `symlink` rather than followed. */\n readonly stat: (path: string) => Effect.Effect<FileInfo, NotFound | Failed>\n /** Follows a final symlink to the listed directory while preserving each returned entry's own type. */\n readonly list: (path: string) => Effect.Effect<ReadonlyArray<DirEntry>, NotFound | WrongKind | Failed>\n readonly remove: (path: string) => Effect.Effect<void, Failed>\n readonly move: (from: string, to: string) => Effect.Effect<void, NotFound | Failed>\n readonly mkdir: (path: string) => Effect.Effect<void, Failed>\n}\n\nexport interface Files extends FilesImpl {}\n\n/**\n * Derives a follow-stat kind from the lstat-like Files contract. A dangling\n * symlink fails with `NotFound`.\n */\nexport const typeFollowing = (files: Files, path: string) =>\n files.stat(path).pipe(\n Effect.flatMap((info) =>\n info.type === \"symlink\"\n ? files.read(path, { offset: 0, length: 0 }).pipe(\n Effect.map((result) => result.info.type),\n Effect.catchTag(\"Environment.WrongKind\", (error) => Effect.succeed(error.actual)),\n )\n : Effect.succeed(info.type),\n ),\n )\n\nexport * as EnvironmentFiles from \"./files.js\"\n", | ||
| "import { Effect, Stream } from \"effect\"\nimport { ChildProcess } from \"effect/unstable/process\"\nimport type { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport { collectStream } from \"@opencode-ai/util/process\"\nimport { Failed, NotFound, WrongKind, type FileInfo, type FileType, type FilesImpl } from \"./files.js\"\n\n/**\n * Files derived from spawning processes: one process per intent, \"$1\" is\n * always the target path. Scripts report classification through an exit-code\n * protocol (44/45/46) so failures never require parsing localized error text;\n * LC_ALL=C pins the one stderr match that remains. Requires GNU coreutils and\n * findutils in the target image — BSD and busybox userlands will not work.\n * Malformed output from these scripts is our own bug and dies as a defect.\n */\n\nconst MAX_DATA_BYTES = 64 * 1024 * 1024\nconst MAX_ERROR_BYTES = 64 * 1024\nconst NOT_FOUND = 44\nconst WRONG_KIND = 45\nconst FAILED = 46\nconst TAB = \"\\t\"\n\nconst loadMetadata = (flags = \"\") => `\nmetadata=$(stat ${flags} -c '%F${TAB}%s${TAB}%Y' -- \"$1\" 2>&1) || {\n case \"$metadata\" in\n *'No such file or directory'*|*'Not a directory'*) exit ${NOT_FOUND} ;;\n *) printf '%s' \"$metadata\" >&2; exit ${FAILED} ;;\n esac\n}\n`\n\nconst statScript = `\n${loadMetadata()}\nprintf '%s\\n' \"$metadata\"\n`\n\nconst readScript = `\n${loadMetadata(\"-L\")}\nkind=\\${metadata%%${TAB}*}\nif [ \"$kind\" != 'regular file' ] && [ \"$kind\" != 'regular empty file' ]; then\n printf '%s' \"$kind\" >&2\n exit ${WRONG_KIND}\nfi\nprintf '%s\\n' \"$metadata\"\nif [ \"$2\" = range ]; then\n dd if=\"$1\" iflag=skip_bytes,count_bytes skip=\"$3\" count=\"$4\" status=none\nelse\n cat -- \"$1\"\nfi\n`\n\nconst listScript = `\n${loadMetadata(\"-L\")}\nkind=\\${metadata%%${TAB}*}\nif [ \"$kind\" != directory ]; then\n printf '%s' \"$kind\" >&2\n exit ${WRONG_KIND}\nfi\nfind -H \"$1\" -mindepth 1 -maxdepth 1 -printf '%y\\\\0%f\\\\0'\n`\n\nconst moveScript = `\n${loadMetadata()}\nmv -- \"$1\" \"$2\"\n`\n\ninterface Result {\n readonly exitCode: number\n readonly stdout: Uint8Array\n readonly stderr: Uint8Array\n}\n\nexport const execDefaults = (spawner: ChildProcessSpawner[\"Service\"]): FilesImpl => {\n const run = (\n path: string,\n script: string,\n args: ReadonlyArray<string> = [],\n stdin?: Uint8Array,\n ): Effect.Effect<Result, Failed> =>\n Effect.scoped(\n Effect.gen(function* () {\n const command = ChildProcess.make(\"sh\", [\"-c\", script, \"sh\", path, ...args], {\n env: { LC_ALL: \"C\" },\n extendEnv: true,\n stdin: stdin === undefined ? undefined : Stream.make(stdin),\n })\n const handle = yield* spawner.spawn(command).pipe(Effect.mapError((cause) => new Failed({ path, cause })))\n const [stdout, stderr, exitCode] = yield* Effect.all(\n [\n collectStream(handle.stdout, MAX_DATA_BYTES),\n collectStream(handle.stderr, MAX_ERROR_BYTES),\n handle.exitCode,\n ],\n { concurrency: \"unbounded\" },\n ).pipe(Effect.mapError((cause) => new Failed({ path, cause })))\n if (stdout.truncated || stderr.truncated) {\n return yield* new Failed({ path, cause: new Error(\"Process output exceeded its collection limit\") })\n }\n return { exitCode, stdout: stdout.buffer, stderr: stderr.buffer }\n }),\n )\n\n const classify = <A>(\n path: string,\n result: Result,\n success: (stdout: Uint8Array) => A,\n ): Effect.Effect<A, NotFound | WrongKind | Failed> => {\n if (result.exitCode === 0) return Effect.sync(() => success(result.stdout))\n if (result.exitCode === NOT_FOUND) return Effect.fail(new NotFound({ path }))\n if (result.exitCode === WRONG_KIND) {\n return Effect.fail(new WrongKind({ path, actual: parseType(new TextDecoder().decode(result.stderr)) }))\n }\n return Effect.fail(processFailure(path, result))\n }\n\n const complete = (path: string, result: Result) =>\n result.exitCode === 0 ? Effect.void : Effect.fail(processFailure(path, result))\n\n return {\n stat: (path) => run(path, statScript).pipe(Effect.flatMap((result) => classifyPlain(path, result, parseInfo))),\n read: (path, range) =>\n run(\n path,\n readScript,\n range === undefined ? [\"whole\"] : [\"range\", String(range.offset), String(range.length)],\n ).pipe(\n Effect.flatMap((result) =>\n classify(path, result, (stdout) => {\n const newline = stdout.indexOf(10)\n if (newline < 0) throw new Error(\"Missing read metadata header\")\n return {\n info: parseInfo(stdout.slice(0, newline)),\n bytes: stdout.slice(newline + 1),\n }\n }),\n ),\n ),\n write: (path, bytes) =>\n run(path, `mkdir -p \"$(dirname \"$1\")\" && cat > \"$1\"`, [], bytes).pipe(\n Effect.flatMap((result) => complete(path, result)),\n ),\n list: (path) => run(path, listScript).pipe(Effect.flatMap((result) => classify(path, result, parseList))),\n remove: (path) => run(path, `rm -rf -- \"$1\"`).pipe(Effect.flatMap((result) => complete(path, result))),\n move: (from, to) =>\n run(from, moveScript, [to]).pipe(Effect.flatMap((result) => classifyPlain(from, result, () => undefined))),\n mkdir: (path) => run(path, `mkdir -p -- \"$1\"`).pipe(Effect.flatMap((result) => complete(path, result))),\n }\n}\n\n/** `classify` for scripts whose protocol never reports WrongKind. */\nconst classifyPlain = <A>(\n path: string,\n result: Result,\n success: (stdout: Uint8Array) => A,\n): Effect.Effect<A, NotFound | Failed> => {\n if (result.exitCode === 0) return Effect.sync(() => success(result.stdout))\n if (result.exitCode === NOT_FOUND) return Effect.fail(new NotFound({ path }))\n return Effect.fail(processFailure(path, result))\n}\n\nconst processFailure = (path: string, result: Result) =>\n new Failed({\n path,\n cause: new Error(new TextDecoder().decode(result.stderr).trim() || `Process exited with code ${result.exitCode}`),\n })\n\nconst parseInfo = (bytes: Uint8Array): FileInfo => {\n const [rawType, rawSize, rawMtime] = new TextDecoder().decode(bytes).trim().split(TAB)\n const size = Number(rawSize)\n const mtimeMs = Number(rawMtime) * 1_000\n if (!rawType || !Number.isFinite(size) || !Number.isFinite(mtimeMs)) throw new Error(\"Invalid stat output\")\n return { type: parseType(rawType), size, mtimeMs }\n}\n\nconst parseType = (value: string): FileType => {\n if (value === \"regular file\" || value === \"regular empty file\" || value === \"f\") return \"file\"\n if (value === \"directory\" || value === \"d\") return \"directory\"\n if (value === \"symbolic link\" || value === \"l\") return \"symlink\"\n return \"other\"\n}\n\nconst parseList = (bytes: Uint8Array) => {\n const fields = new TextDecoder().decode(bytes).split(\"\\0\")\n fields.pop()\n if (fields.length % 2 !== 0) throw new Error(\"Invalid find output\")\n return Array.from({ length: fields.length / 2 }, (_, index) => ({\n name: fields[index * 2 + 1],\n type: parseType(fields[index * 2]),\n }))\n}\n\nexport * as EnvironmentExecDefaults from \"./exec-defaults.js\"\n", | ||
| "import fs from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { Effect } from \"effect\"\nimport type { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Driver } from \"./driver.js\"\nimport { Failed, NotFound, WrongKind, type FileInfo, type FilesImpl, type FileType } from \"./files.js\"\n\n/**\n * The host filesystem binding. Deliberately raw node:fs rather than effect's\n * FileSystem service or FSUtil: the contract needs lstat semantics (stat\n * reports \"symlink\") and typed directory entries, and effect's node\n * FileSystem provides neither — its stat always follows symlinks and\n * readDirectory returns names only. FSUtil hits the same gap and its\n * readDirectoryEntries already bypasses to raw node readdir internally.\n * Nothing above the environment seam touches node:fs.\n */\nexport const makeLocalDriver = (spawner: ChildProcessSpawner[\"Service\"]): Driver => {\n const overrides: FilesImpl = {\n read: (value, range) =>\n Effect.gen(function* () {\n const info = yield* stat(value, true)\n if (info.type !== \"file\") return yield* new WrongKind({ path: value, actual: info.type })\n if (range === undefined) {\n const bytes = yield* attempt(value, () => fs.readFile(value), true)\n return { info, bytes }\n }\n const bytes = yield* attempt(\n value,\n async () => {\n const handle = await fs.open(value, \"r\")\n try {\n const buffer = new Uint8Array(range.length)\n const result = await handle.read(buffer, 0, range.length, range.offset)\n return buffer.subarray(0, result.bytesRead)\n } finally {\n await handle.close()\n }\n },\n true,\n )\n return { info, bytes }\n }),\n stat: (value) => stat(value, false),\n list: (value) =>\n Effect.gen(function* () {\n const info = yield* stat(value, true)\n if (info.type !== \"directory\") return yield* new WrongKind({ path: value, actual: info.type })\n const entries = yield* attempt(value, () => fs.readdir(value, { withFileTypes: true }), true)\n return entries.map((entry) => ({ name: entry.name, type: fileType(entry) }))\n }),\n write: (value, bytes) =>\n attempt(value, async () => {\n await fs.mkdir(path.dirname(value), { recursive: true })\n await fs.writeFile(value, bytes)\n }),\n remove: (value) => attempt(value, () => fs.rm(value, { recursive: true, force: true })),\n move: (from, to) =>\n Effect.gen(function* () {\n yield* stat(from, false)\n const destination = yield* stat(to, false).pipe(\n Effect.map((info) => (info.type === \"directory\" ? path.join(to, path.basename(from)) : to)),\n Effect.catchIf(\n (error) => error instanceof NotFound,\n () => Effect.succeed(to),\n ),\n )\n yield* attempt(from, () => fs.rename(from, destination))\n }),\n mkdir: (value) => attempt(value, () => fs.mkdir(value, { recursive: true }).then(() => undefined)),\n }\n\n return { spawner, overrides }\n}\n\nconst stat = (value: string, follow: boolean) =>\n attempt(value, () => (follow ? fs.stat(value) : fs.lstat(value)), true).pipe(\n Effect.map((stats): FileInfo => ({ type: fileType(stats), size: stats.size, mtimeMs: stats.mtimeMs })),\n )\n\nconst fileType = (entry: { isFile(): boolean; isDirectory(): boolean; isSymbolicLink(): boolean }): FileType => {\n if (entry.isFile()) return \"file\"\n if (entry.isDirectory()) return \"directory\"\n if (entry.isSymbolicLink()) return \"symlink\"\n return \"other\"\n}\n\nfunction attempt<A>(value: string, run: () => Promise<A>): Effect.Effect<A, Failed>\nfunction attempt<A>(value: string, run: () => Promise<A>, missing: true): Effect.Effect<A, NotFound | Failed>\nfunction attempt<A>(value: string, run: () => Promise<A>, missing = false) {\n return Effect.tryPromise({\n try: run,\n catch: (cause) =>\n missing && isMissing(cause) ? new NotFound({ path: value }) : new Failed({ path: value, cause }),\n })\n}\n\nconst isMissing = (cause: unknown) =>\n cause !== null &&\n typeof cause === \"object\" &&\n \"code\" in cause &&\n (cause.code === \"ENOENT\" || cause.code === \"ENOTDIR\")\n\nexport * as EnvironmentLocal from \"./local.js\"\n", | ||
| "import path from \"node:path\"\nimport { Effect, PlatformError } from \"effect\"\nimport { make } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Driver } from \"./driver.js\"\nimport { Failed, NotFound, WrongKind, type FileInfo, type FilesImpl, type FileType } from \"./files.js\"\n\ntype Node =\n | { readonly type: \"file\"; readonly bytes: Uint8Array; readonly mtimeMs: number }\n | { readonly type: \"directory\"; readonly mtimeMs: number }\n | { readonly type: \"symlink\"; readonly target: string; readonly mtimeMs: number }\n\nexport interface MemoryDriver extends Driver {\n readonly symlink: (target: string, path: string) => Effect.Effect<void, Failed>\n}\n\nexport const makeMemoryDriver = (): MemoryDriver => {\n const nodes = new Map<string, Node>([[\"/\", { type: \"directory\", mtimeMs: Date.now() }]])\n const key = (value: string) => path.posix.resolve(\"/\", value)\n const info = (node: Node): FileInfo => ({\n type: node.type,\n size:\n node.type === \"file\"\n ? node.bytes.length\n : node.type === \"symlink\"\n ? new TextEncoder().encode(node.target).length\n : 0,\n mtimeMs: node.mtimeMs,\n })\n const resolveKey = (value: string, followFinal: boolean, seen = new Set<string>()): string | undefined => {\n const normalized = key(value)\n const parts = normalized.split(\"/\").filter(Boolean)\n const base = \"/\"\n const walk = (current: string, index: number): string | undefined => {\n if (index === parts.length) return current\n const part = parts[index]\n const candidate = path.posix.join(current, part)\n const node = nodes.get(candidate)\n if (node?.type !== \"symlink\" || (!followFinal && index === parts.length - 1)) return walk(candidate, index + 1)\n if (seen.has(candidate)) return undefined\n seen.add(candidate)\n const target = path.posix.resolve(path.posix.dirname(candidate), node.target)\n return resolveKey(path.posix.join(target, ...parts.slice(index + 1)), followFinal, seen)\n }\n return walk(base, 0)\n }\n const lookup = (value: string) => nodes.get(resolveKey(value, false) ?? key(value))\n const requireParent = (value: string) => {\n const parentPath = path.posix.dirname(key(value))\n const parent = nodes.get(resolveKey(parentPath, true) ?? parentPath)\n if (!parent) throw new Error(`Parent directory does not exist: ${path.posix.dirname(value)}`)\n if (parent.type !== \"directory\") throw new Error(`Parent is not a directory: ${path.posix.dirname(value)}`)\n }\n const mkdirSync = (value: string) => {\n const target = resolveKey(value, false) ?? key(value)\n const existing = nodes.get(target)\n if (existing?.type === \"directory\") return\n if (existing) throw new Error(`Path is not a directory: ${value}`)\n const parent = path.posix.dirname(target)\n if (parent !== target) mkdirSync(parent)\n nodes.set(target, { type: \"directory\", mtimeMs: Date.now() })\n }\n const failed = (value: string, cause: unknown) => new Failed({ path: value, cause })\n const overrides: FilesImpl = {\n stat: (value) => {\n const node = lookup(value)\n return node ? Effect.succeed(info(node)) : Effect.fail(new NotFound({ path: value }))\n },\n read: (value, range) => {\n const original = lookup(value)\n if (!original) return Effect.fail(new NotFound({ path: value }))\n if (original.type === \"directory\") return Effect.fail(new WrongKind({ path: value, actual: \"directory\" }))\n const resolved = resolveKey(value, true)\n const node = resolved === undefined ? undefined : nodes.get(resolved)\n if (!node) return Effect.fail(new NotFound({ path: value }))\n if (node.type !== \"file\") return Effect.fail(new WrongKind({ path: value, actual: node.type }))\n const bytes = range === undefined ? node.bytes : node.bytes.subarray(range.offset, range.offset + range.length)\n return Effect.succeed({ info: info(node), bytes: bytes.slice() })\n },\n write: (value, bytes) =>\n Effect.try({\n try: () => {\n mkdirSync(path.posix.dirname(key(value)))\n const existing = lookup(value)\n if (existing?.type === \"directory\") throw new Error(`Path is a directory: ${value}`)\n const target = existing?.type === \"symlink\" ? resolveKey(value, true) : resolveKey(value, false)\n if (!target) throw new Error(`Cannot resolve symlink: ${value}`)\n requireParent(target)\n nodes.set(target, { type: \"file\", bytes: bytes.slice(), mtimeMs: Date.now() })\n },\n catch: (cause) => failed(value, cause),\n }),\n list: (value) => {\n const target = resolveKey(value, true) ?? key(value)\n const node = nodes.get(target)\n if (!node) return Effect.fail(new NotFound({ path: value }))\n if (node.type !== \"directory\") return Effect.fail(new WrongKind({ path: value, actual: node.type }))\n const entries = [...nodes.entries()]\n .filter(([entry]) => entry !== target && path.posix.dirname(entry) === target)\n .map(([entry, child]) => ({ name: path.posix.basename(entry), type: child.type satisfies FileType }))\n .sort((a, b) => a.name.localeCompare(b.name))\n return Effect.succeed(entries)\n },\n remove: (value) =>\n Effect.sync(() => {\n const target = resolveKey(value, false) ?? key(value)\n for (const entry of nodes.keys()) {\n if (entry === target || entry.startsWith(`${target}/`)) nodes.delete(entry)\n }\n }),\n move: (from, to) => {\n const source = resolveKey(from, false) ?? key(from)\n const node = nodes.get(source)\n if (!node) return Effect.fail(new NotFound({ path: from }))\n return Effect.try({\n try: () => {\n const requested = resolveKey(to, false) ?? key(to)\n const destination =\n nodes.get(requested)?.type === \"directory\"\n ? path.posix.join(requested, path.posix.basename(source))\n : requested\n if (node.type === \"directory\" && destination.startsWith(`${source}/`)) {\n throw new Error(`Cannot move a directory into itself: ${from}`)\n }\n const existing = nodes.get(destination)\n if (node.type === \"directory\" && existing && existing.type !== \"directory\") {\n throw new Error(`Cannot overwrite a non-directory with a directory: ${to}`)\n }\n requireParent(destination)\n const moved = [...nodes.entries()].filter(([entry]) => entry === source || entry.startsWith(`${source}/`))\n for (const [entry] of moved) nodes.delete(entry)\n for (const [entry, child] of moved) nodes.set(`${destination}${entry.slice(source.length)}`, child)\n },\n catch: (cause) => failed(from, cause),\n })\n },\n mkdir: (value) => Effect.try({ try: () => mkdirSync(value), catch: (cause) => failed(value, cause) }),\n }\n\n const spawner = make((command) =>\n Effect.suspend(() => {\n const description = command._tag === \"StandardCommand\" ? command.command : \"pipeline\"\n return Effect.fail(\n PlatformError.systemError({\n _tag: \"Unknown\",\n module: \"EnvironmentMemory\",\n method: \"spawn\",\n pathOrDescriptor: description,\n cause: failed(description, new Error(\"The memory driver cannot spawn processes\")),\n }),\n )\n }),\n )\n\n return {\n spawner,\n overrides,\n symlink: (target, value) =>\n Effect.try({\n try: () => {\n requireParent(value)\n nodes.set(resolveKey(value, false) ?? key(value), { type: \"symlink\", target, mtimeMs: Date.now() })\n },\n catch: (cause) => failed(value, cause),\n }),\n }\n}\n\nexport * as EnvironmentMemory from \"./memory.js\"\n", | ||
| "import { CrossSpawnSpawner } from \"@opencode-ai/util/cross-spawn-spawner\"\nimport { makeLocationNode } from \"@opencode-ai/util/effect/app-node\"\nimport { Context, Effect, Layer } from \"effect\"\nimport { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Files } from \"./files.js\"\nimport { makeFiles } from \"./index.js\"\nimport { makeLocalDriver } from \"./local.js\"\nimport { Location } from \"../location.js\"\nimport { Workspace } from \"../workspace.js\"\n\nexport interface Interface {\n readonly files: Files\n readonly spawner: ChildProcessSpawner[\"Service\"]\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/Environment\") {}\n\nconst layer = Layer.effect(\n Service,\n Effect.gen(function* () {\n const spawner = yield* ChildProcessSpawner\n const location = yield* Location.Service\n const workspace = yield* Workspace.Service\n const driver = location.workspaceID\n ? yield* workspace.connect(location.workspaceID).pipe(\n // Environment has no error channel; an unknown or destroyed placement is a configuration defect by design.\n Effect.mapError(\n (cause) => new Error(`Failed to bind Environment to workspace ${location.workspaceID}`, { cause }),\n ),\n Effect.orDie,\n )\n : makeLocalDriver(spawner)\n return Service.of({ files: makeFiles(driver), spawner: driver.spawner })\n }),\n)\n\nexport const node = makeLocationNode({\n service: Service,\n layer,\n deps: [CrossSpawnSpawner.node, Location.node, Workspace.node],\n})\n\nexport * as EnvironmentService from \"./environment.js\"\n", | ||
| "export * as Environment from \"./index.js\"\n\nexport { type Driver } from \"./driver.js\"\nexport {\n type DirEntry,\n Failed,\n type FileInfo,\n type Files,\n type FilesImpl,\n type FileType,\n NotFound,\n typeFollowing,\n WrongKind,\n} from \"./files.js\"\nexport { execDefaults } from \"./exec-defaults.js\"\nexport { makeLocalDriver } from \"./local.js\"\nexport { makeMemoryDriver, type MemoryDriver } from \"./memory.js\"\nexport { type Interface, node, Service } from \"./environment.js\"\n\nimport type { Driver } from \"./driver.js\"\nimport { execDefaults } from \"./exec-defaults.js\"\nimport type { Files } from \"./files.js\"\n\nexport const makeFiles = (driver: Driver): Files => ({\n ...execDefaults(driver.spawner),\n ...driver.overrides,\n})\n" | ||
| ], | ||
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| ||
| "debugId": "B8652C3F022CBC7064756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/connection.ts", "../schema/src/integration.ts", "../schema/src/money.ts", "../schema/src/provider.ts", "../schema/src/model.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Connection from \"./connection.js\"\n\nimport { Schema } from \"effect\"\nimport { Credential } from \"./credential.js\"\n\nexport interface CredentialInfo extends Schema.Schema.Type<typeof CredentialInfo> {}\nexport const CredentialInfo = Schema.Struct({\n type: Schema.Literal(\"credential\"),\n id: Credential.ID,\n label: Schema.String,\n}).annotate({ identifier: \"Connection.CredentialInfo\" })\n\nexport interface EnvInfo extends Schema.Schema.Type<typeof EnvInfo> {}\nexport const EnvInfo = Schema.Struct({\n type: Schema.Literal(\"env\"),\n name: Schema.String,\n}).annotate({ identifier: \"Connection.EnvInfo\" })\n\nexport const Info = Schema.Union([CredentialInfo, EnvInfo])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Connection.Info\" })\nexport type Info = typeof Info.Type\n", | ||
| "export * as Integration from \"./integration.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { Connection } from \"./connection.js\"\nimport { ascending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\nimport { IntegrationID, IntegrationMethodID } from \"./integration-id.js\"\nimport { Form } from \"./form.js\"\n\nexport const ID = IntegrationID\nexport type ID = typeof ID.Type\n\nexport const MethodID = IntegrationMethodID\nexport type MethodID = typeof MethodID.Type\n\nexport interface OAuthMethod extends Schema.Schema.Type<typeof OAuthMethod> {}\nexport const OAuthMethod = Schema.Struct({\n id: MethodID,\n type: Schema.Literal(\"oauth\"),\n label: Schema.String,\n form: optional(Form.Fields),\n}).annotate({ identifier: \"Integration.OAuthMethod\" })\n\nexport interface CommandMethod extends Schema.Schema.Type<typeof CommandMethod> {}\nexport const CommandMethod = Schema.Struct({\n id: MethodID,\n type: Schema.Literal(\"command\"),\n label: Schema.String,\n command: Schema.Array(Schema.String),\n}).annotate({ identifier: \"Integration.CommandMethod\" })\n\nexport interface KeyMethod extends Schema.Schema.Type<typeof KeyMethod> {}\nexport const KeyMethod = Schema.Struct({\n type: Schema.Literal(\"key\"),\n label: optional(Schema.String),\n form: optional(Form.Fields),\n}).annotate({ identifier: \"Integration.KeyMethod\" })\n\nexport interface EnvMethod extends Schema.Schema.Type<typeof EnvMethod> {}\nexport const EnvMethod = Schema.Struct({\n type: Schema.Literal(\"env\"),\n names: Schema.Array(Schema.String),\n}).annotate({ identifier: \"Integration.EnvMethod\" })\n\nexport const Method = Schema.Union([OAuthMethod, CommandMethod, KeyMethod, EnvMethod])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Integration.Method\" })\nexport type Method = typeof Method.Type\n\nconst Updated = ephemeral({\n type: \"integration.updated\",\n schema: {},\n})\nconst ConnectionUpdated = ephemeral({\n type: \"integration.connection.updated\",\n schema: { integrationID: ID },\n})\nexport const Event = { Updated, ConnectionUpdated, Definitions: inventory(Updated, ConnectionUpdated) }\n\nexport interface Ref extends Schema.Schema.Type<typeof Ref> {}\nexport const Ref = Schema.Struct({\n id: ID,\n name: Schema.String,\n}).annotate({ identifier: \"Integration.Ref\" })\n\nexport const Info = Schema.Struct({\n id: ID,\n name: Schema.String,\n methods: Schema.Array(Method),\n connections: Schema.Array(Connection.Info),\n}).annotate({ identifier: \"Integration.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nexport const AttemptID = Schema.String.pipe(\n Schema.brand(\"Integration.AttemptID\"),\n statics((schema) => ({ create: () => schema.make(\"con_\" + ascending()) })),\n)\nexport type AttemptID = typeof AttemptID.Type\n\nconst AttemptTime = Schema.Struct({\n created: Schema.Number,\n expires: Schema.Number,\n})\n\nexport class Attempt extends Schema.Class<Attempt>(\"Integration.Attempt\")({\n attemptID: AttemptID,\n url: Schema.String,\n instructions: Schema.String,\n mode: Schema.Literals([\"auto\", \"code\"]),\n time: AttemptTime,\n}) {}\n\nexport const AttemptStatus = Schema.Union([\n Schema.Struct({ status: Schema.Literal(\"pending\"), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"complete\"), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"failed\"), message: Schema.String, time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"expired\"), time: AttemptTime }),\n])\n .pipe(Schema.toTaggedUnion(\"status\"))\n .annotate({ identifier: \"Integration.AttemptStatus\" })\nexport type AttemptStatus = typeof AttemptStatus.Type\n\nexport interface CommandAttempt extends Schema.Schema.Type<typeof CommandAttempt> {}\nexport const CommandAttempt = Schema.Struct({\n attemptID: AttemptID,\n time: AttemptTime,\n}).annotate({ identifier: \"Integration.CommandAttempt\" })\n\nexport const CommandAttemptStatus = Schema.Union([\n Schema.Struct({ status: Schema.Literal(\"pending\"), message: optional(Schema.String), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"complete\"), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"failed\"), message: Schema.String, time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"expired\"), time: AttemptTime }),\n])\n .pipe(Schema.toTaggedUnion(\"status\"))\n .annotate({ identifier: \"Integration.CommandAttemptStatus\" })\nexport type CommandAttemptStatus = typeof CommandAttemptStatus.Type\n", | ||
| "export * as Money from \"./money.js\"\n\nimport { Schema } from \"effect\"\nimport { statics } from \"./schema.js\"\n\nexport const USD = Schema.Finite.pipe(\n Schema.brand(\"Money.USD\"),\n Schema.annotate({ identifier: \"Money.USD\" }),\n statics((schema) => ({ zero: schema.make(0) })),\n)\nexport type USD = typeof USD.Type\n\nexport const USDPerMillionTokens = Schema.Finite.pipe(\n Schema.brand(\"Money.USDPerMillionTokens\"),\n Schema.annotate({ identifier: \"Money.USDPerMillionTokens\" }),\n statics((schema) => ({ zero: schema.make(0) })),\n)\nexport type USDPerMillionTokens = typeof USDPerMillionTokens.Type\n", | ||
| "export * as Provider from \"./provider.js\"\n\nimport { Effect, Schema } from \"effect\"\nimport { Integration } from \"./integration.js\"\nimport { optional, statics } from \"./schema.js\"\n\nexport const ID = Schema.String.pipe(\n Schema.brand(\"Provider.ID\"),\n statics((schema) => ({\n opencode: schema.make(\"opencode\"),\n anthropic: schema.make(\"anthropic\"),\n openai: schema.make(\"openai\"),\n google: schema.make(\"google\"),\n googleVertex: schema.make(\"google-vertex\"),\n githubCopilot: schema.make(\"github-copilot\"),\n amazonBedrock: schema.make(\"amazon-bedrock\"),\n azure: schema.make(\"azure\"),\n openrouter: schema.make(\"openrouter\"),\n mistral: schema.make(\"mistral\"),\n gitlab: schema.make(\"gitlab\"),\n })),\n)\nexport type ID = typeof ID.Type\n\nexport const Package = Schema.String\nexport type Package = typeof Package.Type\n\nexport const Activation = Schema.Literals([\"auto\", \"enabled\", \"disabled\"])\nexport type Activation = typeof Activation.Type\n\nexport const Overlays = {\n settings: Schema.Record(Schema.String, Schema.Any).pipe(optional),\n headers: Schema.Record(Schema.String, Schema.String).pipe(optional),\n body: Schema.Record(Schema.String, Schema.Any).pipe(optional),\n}\n\nexport const Settings = Schema.Record(Schema.String, Schema.Any).annotate({ identifier: \"Provider.Settings\" })\nexport type Settings = typeof Settings.Type\n\nexport interface Request extends Schema.Schema.Type<typeof Request> {}\nexport const Request = Schema.Struct({\n settings: Settings.pipe(Schema.withConstructorDefault(Effect.succeed({}))),\n headers: Schema.Record(Schema.String, Schema.String),\n body: Schema.Record(Schema.String, Schema.Any),\n}).annotate({ identifier: \"Provider.Request\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n integrationID: Integration.ID.pipe(optional),\n name: Schema.String,\n activation: Activation,\n package: Package,\n ...Overlays,\n})\n .annotate({ identifier: \"Provider.Info\" })\n .pipe(\n statics(() => ({\n empty: (id: ID): Info => ({ id, name: id, activation: \"auto\", package: \"\" }),\n })),\n )\n", | ||
| "export * as Model from \"./model.js\"\n\nimport { Schema } from \"effect\"\nimport { optional, statics } from \"./schema.js\"\nimport { Provider } from \"./provider.js\"\nimport { Money } from \"./money.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Model.ID\"))\nexport type ID = typeof ID.Type\n\nexport const VariantID = Schema.String.pipe(Schema.brand(\"Model.VariantID\"))\nexport type VariantID = typeof VariantID.Type\n\nexport const Ref = Schema.Struct({\n id: ID,\n providerID: Provider.ID,\n variant: VariantID.pipe(optional),\n})\n .annotate({ identifier: \"Model.Ref\" })\n .pipe(\n statics((schema) => ({\n parse: (input: string) => {\n const providerEnd = input.indexOf(\"/\")\n if (providerEnd <= 0) throw new Error(`Invalid model reference: ${input}`)\n const providerID = input.slice(0, providerEnd)\n const variantStart = input.indexOf(\"#\", providerEnd + 1)\n const id = input.slice(providerEnd + 1, variantStart === -1 ? undefined : variantStart)\n const variant = variantStart === -1 ? undefined : input.slice(variantStart + 1)\n if (!id || providerID.includes(\"#\") || (variant !== undefined && (!variant || variant.includes(\"#\"))))\n throw new Error(`Invalid model reference: ${input}`)\n return schema.make({\n providerID: Provider.ID.make(providerID),\n id: ID.make(id),\n ...(variant ? { variant: VariantID.make(variant) } : {}),\n })\n },\n })),\n )\nexport interface Ref extends Schema.Schema.Type<typeof Ref> {}\n\nexport const Family = Schema.String.pipe(Schema.brand(\"Model.Family\"))\nexport type Family = typeof Family.Type\n\nexport type ReasoningField = \"reasoning\" | \"reasoning_content\" | \"reasoning_text\" | (string & {})\nexport const ReasoningField: Schema.Codec<ReasoningField> = Schema.Union([\n Schema.Literals([\"reasoning\", \"reasoning_content\", \"reasoning_text\"]),\n Schema.String,\n]).annotate({ identifier: \"Model.ReasoningField\" })\n\nexport const MaxTokensField = Schema.Literals([\"max_completion_tokens\", \"max_tokens\"]).annotate({\n identifier: \"Model.MaxTokensField\",\n})\nexport type MaxTokensField = typeof MaxTokensField.Type\n\nexport interface Compatibility extends Schema.Schema.Type<typeof Compatibility> {}\nexport const Compatibility = Schema.Struct({\n reasoningField: ReasoningField.pipe(optional),\n maxTokensField: MaxTokensField.pipe(optional),\n requireFinishReason: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Model.Compatibility\" })\n\nexport interface Capabilities extends Schema.Schema.Type<typeof Capabilities> {}\nexport const Capabilities = Schema.Struct({\n tools: Schema.Boolean,\n input: Schema.Array(Schema.String),\n output: Schema.Array(Schema.String),\n responsesWebsockets: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Model.Capabilities\" })\n\nexport interface Cost extends Schema.Schema.Type<typeof Cost> {}\nexport const Cost = Schema.Struct({\n tier: Schema.Struct({\n type: Schema.tag(\"context\"),\n size: Schema.Int,\n }).pipe(optional),\n input: Money.USDPerMillionTokens,\n output: Money.USDPerMillionTokens,\n cache: Schema.Struct({\n read: Money.USDPerMillionTokens,\n write: Money.USDPerMillionTokens,\n }),\n}).annotate({ identifier: \"Model.Cost\" })\n\nexport interface Variant extends Schema.Schema.Type<typeof Variant> {}\nexport const Variant = Schema.Struct({\n id: VariantID,\n ...Provider.Overlays,\n}).annotate({ identifier: \"Model.Variant\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n modelID: ID,\n providerID: Provider.ID,\n family: Family.pipe(optional),\n name: Schema.String,\n compatibility: Compatibility.pipe(optional),\n package: Provider.Package.pipe(optional),\n ...Provider.Overlays,\n capabilities: Capabilities,\n variants: Schema.Array(Variant),\n time: Schema.Struct({\n released: Schema.Finite,\n }),\n cost: Schema.Array(Cost),\n status: Schema.Literals([\"alpha\", \"beta\", \"deprecated\", \"active\"]),\n enabled: Schema.Boolean,\n limit: Schema.Struct({\n context: Schema.Int,\n input: Schema.Int.pipe(optional),\n output: Schema.Int,\n }),\n})\n .annotate({ identifier: \"Model.Info\" })\n .pipe(\n statics(() => ({\n default: (providerID: Provider.ID, id: ID) =>\n ({\n id,\n modelID: id,\n providerID,\n name: id,\n capabilities: { tools: true, input: [\"text\", \"image\"], output: [\"text\"] },\n variants: [],\n time: { released: 0 },\n cost: [],\n status: \"active\",\n enabled: true,\n limit: { context: 200_000, output: 32_000 },\n }) satisfies Info,\n })),\n )\n" | ||
| ], | ||
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| ||
| "debugId": "6DE765BDBCDDC45164756E2164756E21", | ||
| "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" | ||
| ], | ||
| "mappings": ";+2BAMA,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,KACnC,EAAO,GAAG,kBAAkB,EAAE,SAAU,EAAG,CACzC,MAAO,EAAQ,KAAK,MAAO,EAAc,QAAQ,CAAC,EACnD,CACH", | ||
| "debugId": "8E4FC81E4020BC5364756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/ui/prompt.ts"], | ||
| "sourcesContent": [ | ||
| "import { cancel, isCancel, log, outro } from \"@clack/prompts\"\nimport { Effect } from \"effect\"\nimport { errorMessage } from \"../util/error\"\n\nconst cancelled = Symbol(\"cancelled\")\n\nexport function prompt<A>(run: () => Promise<A | symbol>) {\n return Effect.tryPromise({ try: run, catch: (cause) => cause }).pipe(\n Effect.flatMap((value) => (isCancel(value) ? Effect.fail(cancelled) : Effect.succeed(value))),\n )\n}\n\nexport function requireInteractive(message: string) {\n if (process.stdin.isTTY && process.stdout.isTTY) return Effect.void\n return Effect.fail(new Error(message))\n}\n\nexport const openUrl = Effect.fn(\"cli.prompt.open-url\")(function* (url: string) {\n const { default: open } = yield* Effect.promise(() => import(\"open\"))\n yield* Effect.promise(() => open(url)).pipe(Effect.ignore)\n})\n\nexport function handlePromptErrors<A, E, R>(effect: Effect.Effect<A, E, R>) {\n return effect.pipe(\n Effect.catchIf(\n (error) => error === cancelled,\n () =>\n Effect.sync(() => {\n cancel(\"Cancelled\")\n process.exitCode = 130\n }),\n ),\n Effect.catch((error) =>\n Effect.sync(() => {\n log.error(errorMessage(error))\n outro(\"Failed\")\n process.exitCode = 1\n }),\n ),\n )\n}\n" | ||
| ], | ||
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| "debugId": "91CAE9A1EE80F28E64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../protocol/src/client.ts"], | ||
| "sourcesContent": [ | ||
| "import { InvalidRequestError, SessionNotFoundError } from \"./errors.js\"\nimport { makeDefaultApi } from \"./api.js\"\nimport type { Api } from \"./api.js\"\nimport type { Context } from \"effect\"\nimport { HttpApiMiddleware } from \"effect/unstable/httpapi\"\nimport type { EventGroup } from \"./groups/event.js\"\n\nclass LocationMiddleware extends HttpApiMiddleware.Service<LocationMiddleware>()(\n \"@opencode-ai/client/LocationMiddleware\",\n) {}\n\nclass SessionLocationMiddleware extends HttpApiMiddleware.Service<SessionLocationMiddleware>()(\n \"@opencode-ai/client/SessionLocationMiddleware\",\n { error: [InvalidRequestError, SessionNotFoundError] },\n) {}\n\ntype ClientApiShape = Api<\n Context.Service.Identifier<typeof LocationMiddleware>,\n Context.Service.Shape<typeof LocationMiddleware>,\n Context.Service.Identifier<typeof SessionLocationMiddleware>,\n Context.Service.Shape<typeof SessionLocationMiddleware>,\n Context.Service.Identifier<typeof SessionLocationMiddleware>,\n Context.Service.Shape<typeof SessionLocationMiddleware>,\n typeof EventGroup\n>\n\nexport const ClientApi: ClientApiShape = makeDefaultApi({\n locationMiddleware: LocationMiddleware,\n // The real server uses a form-specific middleware with an undocumented `global` sentinel branch.\n // The generated client only needs a middleware identity for API typing.\n formLocationMiddleware: SessionLocationMiddleware,\n sessionLocationMiddleware: SessionLocationMiddleware,\n})\n\nexport const groupNames = {\n \"server.health\": \"health\",\n \"server.server\": \"server\",\n \"server.debug\": \"debug\",\n \"server.migration\": \"migration\",\n \"server.location\": \"location\",\n \"server.agent\": \"agent\",\n \"server.plugin\": \"plugin\",\n \"server.session\": \"session\",\n \"server.message\": \"message\",\n \"server.model\": \"model\",\n \"server.generate\": \"generate\",\n \"server.provider\": \"provider\",\n \"server.integration\": \"integration\",\n \"server.websearch\": \"websearch\",\n \"server.credential\": \"credential\",\n \"server.form\": \"form\",\n \"server.permission\": \"permission\",\n \"server.fs\": \"file\",\n \"server.command\": \"command\",\n \"server.skill\": \"skill\",\n \"server.event\": \"event\",\n \"server.pty\": \"pty\",\n \"server.shell\": \"shell\",\n \"server.mcp\": \"mcp\",\n \"server.reference\": \"reference\",\n \"server.project\": \"project\",\n \"server.worktree\": \"worktree\",\n \"server.vcs\": \"vcs\",\n \"server.config\": \"config\",\n} as const\n\nexport const promiseOmitEndpoints = new Set([\"pty.connect\"])\nexport const effectOmitEndpoints = new Set([\"fs.read\", \"pty.connect\"])\n" | ||
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| "debugId": "967C9B19F4CEF24664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/session.ts"], | ||
| "sourcesContent": [ | ||
| "import type { ModelInfo, SessionMessageAssistant, SessionMessageInfo } from \"@opencode-ai/client\"\nimport { Locale } from \"./locale\"\n\ntype SessionNode = {\n id: string\n parentID?: string | null\n}\n\nexport function sessionFamily<T extends SessionNode>(sessions: readonly T[], sessionID: string) {\n const byID = new Map(sessions.map((session) => [session.id, session]))\n const current = byID.get(sessionID)\n if (!current) return []\n\n const children = new Map<string, T[]>()\n sessions.forEach((session) => {\n if (!session.parentID) return\n const group = children.get(session.parentID)\n if (group) group.push(session)\n else children.set(session.parentID, [session])\n })\n\n function root(session: T): T {\n const parent = session.parentID ? byID.get(session.parentID) : undefined\n return parent ? root(parent) : session\n }\n\n function walk(parentID: string, ancestors: boolean[]): Array<{ session: T; prefix: string }> {\n const group = children.get(parentID) ?? []\n return group.flatMap((session, index) => {\n const last = index === group.length - 1\n const prefix =\n ancestors.length === 0\n ? \"\"\n : ancestors\n .slice(1)\n .map((ancestor) => (ancestor ? \" \" : \"│ \"))\n .join(\"\") + (last ? \"└─ \" : \"├─ \")\n return [{ session, prefix }, ...walk(session.id, [...ancestors, last])]\n })\n }\n\n return walk(root(current).id, [])\n}\n\nexport function lastAssistantWithUsage(messages: ReadonlyArray<SessionMessageInfo>, boundary?: string) {\n const boundaryIndex = boundary ? messages.findIndex((message) => message.id === boundary) : -1\n if (boundary && boundaryIndex === -1) return undefined\n const end = boundaryIndex === -1 ? messages.length : boundaryIndex\n const compactionIndex = messages.findLastIndex(\n (message, index) => message.type === \"compaction\" && message.status === \"completed\" && index < end,\n )\n return messages.findLast(\n (message, index): message is SessionMessageAssistant & { tokens: NonNullable<SessionMessageAssistant[\"tokens\"]> } =>\n message.type === \"assistant\" && message.tokens !== undefined && index > compactionIndex && index < end,\n )\n}\n\nexport function contextUsage(\n messages: ReadonlyArray<SessionMessageInfo>,\n models: ReadonlyArray<ModelInfo> | undefined,\n boundary?: string,\n) {\n const last = lastAssistantWithUsage(messages, boundary)\n if (!last) return\n const tokens =\n last.tokens.input + last.tokens.output + last.tokens.reasoning + last.tokens.cache.read + last.tokens.cache.write\n if (tokens <= 0) return\n const model = models?.find((model) => model.providerID === last.model.providerID && model.id === last.model.id)\n return {\n tokens,\n percent: model?.limit.context ? Math.round((tokens / model.limit.context) * 100) : undefined,\n }\n}\n\nexport function formatContextUsage(tokens: number, percent?: number) {\n const value = Locale.number(tokens)\n return percent === undefined ? value : `${value} (${percent}%)`\n}\n" | ||
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| "debugId": "9AB3FDE146BC97EA64756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/google-vertex-shared.ts"], | ||
| "sourcesContent": [ | ||
| "import type { AnyAuthClient } from \"google-auth-library\"\nimport { Effect, Redacted } from \"effect\"\nimport { Auth, MissingCredentialError } from \"../route/auth.js\"\n\nconst SCOPE = \"https://www.googleapis.com/auth/cloud-platform\"\n\nexport type OAuthOptions =\n | { readonly accessToken?: string; readonly auth?: never }\n | { readonly accessToken?: never; readonly auth?: Auth.Definition }\n\nexport type ApiKeyOptions =\n | (OAuthOptions & { readonly apiKey?: never })\n | { readonly accessToken?: never; readonly apiKey?: string; readonly auth?: never }\n\nexport const project = (value?: string) =>\n value ??\n process.env.GOOGLE_VERTEX_PROJECT ??\n process.env.GOOGLE_CLOUD_PROJECT ??\n process.env.GCP_PROJECT ??\n process.env.GCLOUD_PROJECT\n\nexport const location = (value: string | undefined, fallback: string) =>\n value ??\n process.env.GOOGLE_VERTEX_LOCATION ??\n process.env.GOOGLE_CLOUD_LOCATION ??\n process.env.VERTEX_LOCATION ??\n fallback\n\nexport const host = (location: string) => {\n if (location === \"global\") return \"aiplatform.googleapis.com\"\n // Jurisdictional multi-regions use Regional Endpoint Platform domains.\n if (location === \"eu\" || location === \"us\") return `aiplatform.${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": "B8D10528E7ED2FF664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "87253A0497F5495164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/config/mcp.ts"], | ||
| "sourcesContent": [ | ||
| "export * as ConfigMCP from \"./mcp.js\"\n\nimport { Schema } from \"effect\"\nimport { Mcp } from \"../mcp.js\"\nimport { optional } from \"../schema.js\"\n\nexport const Timeout = Mcp.TimeoutConfig\nexport type Timeout = Mcp.TimeoutConfig\nexport const Local = Mcp.LocalConfig\nexport type Local = Mcp.LocalConfig\nexport const OAuth = Mcp.OAuthConfig\nexport type OAuth = Mcp.OAuthConfig\nexport const Remote = Mcp.RemoteConfig\nexport type Remote = Mcp.RemoteConfig\nexport const Server = Mcp.ServerConfig\n\nexport class Info extends Schema.Class<Info>(\"Config.MCP\")({\n timeout: Timeout.pipe(optional),\n servers: Schema.Record(Schema.String, Server).pipe(optional),\n}) {}\n" | ||
| ], | ||
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| "debugId": "D4B9650F19E0FE5C64756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/tool.ts"], | ||
| "sourcesContent": [ | ||
| "// Per-tool display rules shared across `opencode run` output paths.\n//\n// Each known tool (shell, edit, write, subagent, etc.) has a ToolRule that controls\n// four display hooks:\n//\n// view → visibility policy for progress/final scrollback entries and\n// whether completed finals can render as structured snapshots\n// run → inline summary for the non-interactive `run` command output\n// scroll → text formatting for start/progress/final scrollback entries\n// snap → structured snapshot (code block, diff, task card) for rich\n// scrollback entries\n//\n// Tools not in TOOL_RULES get fallback formatting.\nimport os from \"os\"\nimport path from \"path\"\nimport stripAnsi from \"strip-ansi\"\nimport type { SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { LANGUAGE_EXTENSIONS } from \"../util/filetype\"\nimport { Locale } from \"../util/locale\"\nimport {\n canonicalToolName,\n finiteNumber,\n primitiveInputSummary,\n toolDisplayContent,\n toolDisplayMetadata,\n webSearchProviderLabel,\n} from \"../util/tool-display\"\nimport { formatPath } from \"../util/path-format\"\nimport { isRecord } from \"../util/record\"\nimport type { RunEntryBody, StreamCommit, ToolSnapshot } from \"./types\"\n\nexport { canonicalToolName } from \"../util/tool-display\"\n\ntype ToolView = {\n output: boolean\n final: boolean\n snap?: \"code\" | \"diff\" | \"structured\"\n}\n\ntype ToolPhase = \"start\" | \"progress\" | \"final\"\n\ntype ToolDict = Record<string, unknown>\n\ntype PatchFile = {\n status?: string\n file?: string\n from?: string\n patch?: string\n deletions?: number\n}\n\ntype ToolInput = ToolDict & {\n id?: string\n path?: string\n pattern?: string\n url?: string\n query?: string\n agent?: string\n description?: string\n name?: string\n operation?: string\n line?: number\n character?: number\n content?: string\n command?: string\n workdir?: string\n questions?: Array<{ question?: string }>\n diff?: string\n}\n\ntype ToolMetadata = ToolDict & {\n name?: string\n count?: number\n matches?: number\n diff?: string\n provider?: unknown\n files?: PatchFile[]\n answers?: string[][]\n exit?: number\n}\n\ntype ToolFrame = {\n directory?: string\n raw: string\n name: string\n input: ToolDict\n meta: ToolDict\n state: ToolDict\n status: string\n error: string\n output: string\n time: {\n start?: number\n end?: number\n }\n}\n\ntype ToolInline = {\n icon: string\n title: string\n description?: string\n mode?: \"inline\" | \"block\"\n body?: string\n}\n\ntype ToolProps = {\n input: ToolInput\n metadata: ToolMetadata\n frame: ToolFrame\n}\n\ntype ToolName =\n | \"invalid\"\n | \"shell\"\n | \"write\"\n | \"edit\"\n | \"patch\"\n | \"batch\"\n | \"subagent\"\n | \"question\"\n | \"read\"\n | \"glob\"\n | \"grep\"\n | \"list\"\n | \"lsp\"\n | \"webfetch\"\n | \"websearch\"\n | \"skill\"\n\ntype ToolRule = {\n view: ToolView\n run: (props: ToolProps) => ToolInline\n scroll?: Partial<Record<ToolPhase, (props: ToolProps) => string>>\n snap?: (props: ToolProps) => ToolSnapshot | undefined\n}\n\ntype ToolRegistry = Record<ToolName, ToolRule>\n\ntype AnyToolRule = ToolRule\n\nfunction dict(v: unknown): ToolDict {\n return isRecord(v) ? { ...v } : {}\n}\n\nfunction props(frame: ToolFrame): ToolProps {\n return {\n input: frame.input,\n metadata: frame.meta,\n frame,\n }\n}\n\nfunction text(v: unknown): string {\n return typeof v === \"string\" ? v : \"\"\n}\n\nexport function toolOutputText(name: string, content: ReadonlyArray<{ type: string; text?: string }> | undefined) {\n if (!content) return \"\"\n // V2 shell content appends model-only status after the user-visible command output.\n if (canonicalToolName(name) === \"shell\") return content.find((item) => item.type === \"text\")?.text ?? \"\"\n const joined = content.flatMap((item) => (item.type === \"text\" && item.text ? [item.text] : [])).join(\"\\n\")\n if (canonicalToolName(name) === \"read\") return readDisplayText(joined) ?? joined\n return joined\n}\n\n/** Read's model content is a JSON page envelope; unwrap the human-facing text. */\nexport function readDisplayText(text: string): string | undefined {\n if (!text.startsWith(\"{\")) return undefined\n const parsed = (() => {\n try {\n return JSON.parse(text) as unknown\n } catch {\n return undefined\n }\n })()\n const envelope = dict(parsed)\n if (typeof envelope.content === \"string\" && (envelope.type === \"text-page\" || envelope.encoding === \"utf8\"))\n return envelope.content\n if (!Array.isArray(envelope.entries)) return undefined\n return envelope.entries\n .flatMap((entry): string[] => {\n if (typeof entry === \"string\") return [entry]\n const path = dict(entry).path\n return typeof path === \"string\" ? [path] : []\n })\n .join(\"\\n\")\n}\n\nfunction normalizeInput(name: string, value: unknown) {\n const input = dict(value)\n const path = typeof input.path === \"string\" ? input.path : text(input.filePath)\n const agent = typeof input.agent === \"string\" ? input.agent : text(input.subagent_type)\n return {\n ...input,\n ...([\"read\", \"write\", \"edit\", \"lsp\"].includes(name) && path ? { path } : {}),\n ...(name === \"subagent\" && agent ? { agent } : {}),\n }\n}\n\nfunction normalizeFile(value: unknown): PatchFile | undefined {\n const file = dict(value)\n const name = text(file.file) || text(file.relativePath) || text(file.filePath)\n if (!name) return\n const legacy = text(file.type)\n const status =\n text(file.status) ||\n (legacy === \"add\"\n ? \"added\"\n : legacy === \"delete\"\n ? \"deleted\"\n : legacy === \"update\"\n ? \"modified\"\n : legacy === \"move\"\n ? \"moved\"\n : legacy)\n const patch = typeof file.patch === \"string\" ? file.patch : undefined\n const deletions = finiteNumber(file.deletions)\n return {\n ...file,\n file: name,\n ...(status === \"moved\" && text(file.filePath) ? { from: text(file.filePath) } : {}),\n ...(status ? { status } : {}),\n ...(patch === undefined ? {} : { patch }),\n ...(deletions === undefined ? {} : { deletions }),\n }\n}\n\nfunction normalizeMetadata(name: string, value: unknown) {\n const metadata = dict(value)\n const files = list(metadata.files).flatMap((item) => {\n const file = normalizeFile(item)\n return file ? [file] : []\n })\n const sessionID = text(metadata.sessionID) || text(metadata.sessionId)\n return {\n ...metadata,\n ...([\"edit\", \"patch\"].includes(name) && Array.isArray(metadata.files) ? { files } : {}),\n ...(name === \"subagent\" && sessionID ? { sessionID } : {}),\n }\n}\n\nexport function normalizeTool(tool: SessionMessageAssistantTool): SessionMessageAssistantTool {\n const name = canonicalToolName(tool.name)\n if (tool.state.status === \"streaming\") return { ...tool, name }\n return {\n ...tool,\n name,\n state: {\n ...tool.state,\n input: normalizeInput(name, tool.state.input),\n metadata: normalizeMetadata(name, toolDisplayMetadata(tool.state)),\n },\n } as SessionMessageAssistantTool\n}\n\nfunction list<T>(v: unknown): T[] {\n if (!Array.isArray(v)) {\n return []\n }\n\n return v\n}\n\nfunction span(frame: ToolFrame): string {\n const start = frame.time.start\n const end = frame.time.end\n if (start === undefined || end === undefined || end <= start) {\n return \"\"\n }\n\n return Locale.duration(end - start)\n}\n\nfunction fail(ctx: ToolFrame): string {\n const error = toolError(ctx)\n if (error) {\n return `✖ ${ctx.name} failed: ${error}`\n }\n\n return `✖ ${ctx.name} failed`\n}\n\nfunction toolError(ctx: ToolFrame): string {\n if (ctx.error) {\n return ctx.error\n }\n\n const state = text(ctx.state.error).trim()\n if (state) {\n return state\n }\n\n return ctx.raw.trim()\n}\n\nfunction fallbackStart(ctx: ToolFrame): string {\n const extra = primitiveInputSummary(ctx.input)\n if (!extra) {\n return `⚙ ${ctx.name}`\n }\n\n return `⚙ ${ctx.name} ${extra}`\n}\n\nfunction fallbackFinal(ctx: ToolFrame): string {\n if (ctx.status === \"error\") {\n return fail(ctx)\n }\n\n if (ctx.status && ctx.status !== \"completed\") {\n return ctx.raw.trim()\n }\n\n const time = span(ctx)\n if (!time) {\n return `${ctx.name} completed`\n }\n\n return `${ctx.name} completed · ${time}`\n}\n\nexport function toolPath(input?: string, opts: { home?: boolean; directory?: string } = {}): string {\n return formatPath(input, {\n base: opts.directory ?? process.cwd(),\n home: opts.home ? os.homedir() : undefined,\n forwardSlashes: true,\n })\n}\n\nfunction displayPath(p: ToolProps, input?: string, opts: { home?: boolean } = {}) {\n return toolPath(input, { ...opts, directory: p.frame.directory })\n}\n\nfunction fallbackInline(ctx: ToolFrame): ToolInline {\n const title = Object.keys(ctx.input).length > 0 ? JSON.stringify(ctx.input) : \"Unknown\"\n\n return {\n icon: \"⚙\",\n title: `${ctx.name} ${title}`,\n }\n}\n\nfunction count(n: number, label: string): string {\n return `${n} ${label}${n === 1 ? \"\" : \"es\"}`\n}\n\nfunction runGlob(p: ToolProps): ToolInline {\n const root = p.input.path ?? \"\"\n const title = `Glob \"${p.input.pattern ?? \"\"}\"`\n const suffix = root ? `in ${displayPath(p, root)}` : \"\"\n const matches = p.metadata.count\n const description = matches === undefined ? suffix : `${suffix}${suffix ? \" · \" : \"\"}${count(matches, \"match\")}`\n return {\n icon: \"✱\",\n title,\n ...(description && { description }),\n }\n}\n\nfunction runGrep(p: ToolProps): ToolInline {\n const root = p.input.path ?? \"\"\n const title = `Grep \"${p.input.pattern ?? \"\"}\"`\n const suffix = root ? `in ${displayPath(p, root)}` : \"\"\n const matches = p.metadata.matches\n const description = matches === undefined ? suffix : `${suffix}${suffix ? \" · \" : \"\"}${count(matches, \"match\")}`\n return {\n icon: \"✱\",\n title,\n ...(description && { description }),\n }\n}\n\nfunction runList(p: ToolProps): ToolInline {\n const dir = text(dict(p.input).path)\n return {\n icon: \"→\",\n title: dir ? `List ${displayPath(p, dir)}` : \"List\",\n }\n}\n\nfunction runRead(p: ToolProps): ToolInline {\n const file = displayPath(p, p.input.path)\n const description = primitiveInputSummary(p.frame.input, [\"path\"]) || undefined\n return {\n icon: \"→\",\n title: `Read ${file}`,\n ...(description && { description }),\n }\n}\n\nfunction runWrite(p: ToolProps): ToolInline {\n return {\n icon: \"←\",\n title: `Write ${displayPath(p, p.input.path)}`,\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output : undefined,\n }\n}\n\nfunction runWebfetch(p: ToolProps): ToolInline {\n const url = p.input.url ?? \"\"\n return {\n icon: \"%\",\n title: url ? `WebFetch ${url}` : \"WebFetch\",\n }\n}\n\nfunction runEdit(p: ToolProps): ToolInline {\n const file = list<PatchFile>(p.metadata.files)[0]\n return {\n icon: \"←\",\n title: `Edit ${displayPath(p, p.input.path)}`,\n mode: \"block\",\n body: file?.patch ?? p.metadata.diff,\n }\n}\n\nfunction runWebSearch(p: ToolProps): ToolInline {\n const title = webSearchProviderLabel(p.metadata.provider)\n return {\n icon: \"◈\",\n title: p.input.query ? `${title} \"${p.input.query}\"` : title,\n }\n}\n\nfunction runTask(p: ToolProps): ToolInline {\n const kind = Locale.titlecase(p.input.agent || \"unknown\")\n const desc = p.input.description\n const icon = p.frame.status === \"error\" ? \"✗\" : p.frame.status === \"running\" ? \"•\" : \"✓\"\n return {\n icon,\n title: desc || `${kind} Subagent`,\n description: desc ? `${kind} Agent` : undefined,\n }\n}\n\nfunction runSkill(p: ToolProps): ToolInline {\n const name = p.metadata.name ?? p.input.id ?? \"\"\n return {\n icon: \"→\",\n title: `Skill \"${name}\"`,\n }\n}\n\nfunction runPatch(p: ToolProps): ToolInline {\n const files = p.metadata.files?.length ?? 0\n if (files === 0) {\n return {\n icon: \"%\",\n title: \"Patch\",\n }\n }\n\n return {\n icon: \"%\",\n title: `Patch ${files} file${files === 1 ? \"\" : \"s\"}`,\n }\n}\n\nfunction runQuestion(p: ToolProps): ToolInline {\n const total = list(p.frame.input.questions).length\n return {\n icon: \"→\",\n title: `Asked ${total} question${total === 1 ? \"\" : \"s\"}`,\n }\n}\n\nfunction runInvalid(p: ToolProps): ToolInline {\n return {\n icon: \"✗\",\n title: \"Invalid Tool\",\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output : undefined,\n }\n}\n\nfunction runBatch(p: ToolProps): ToolInline {\n const calls = list(dict(p.input).tool_calls).length\n return {\n icon: \"#\",\n title: calls > 0 ? `Batch ${calls} tool${calls === 1 ? \"\" : \"s\"}` : \"Batch\",\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output : undefined,\n }\n}\n\nfunction lspTitle(\n input: {\n operation?: string\n path?: string\n line?: number\n character?: number\n },\n opts: { home?: boolean; directory?: string } = {},\n): string {\n const op = input.operation || \"request\"\n const file = input.path ? toolPath(input.path, opts) : \"\"\n const line = typeof input.line === \"number\" ? input.line : undefined\n const char = typeof input.character === \"number\" ? input.character : undefined\n const pos = line !== undefined && char !== undefined ? `:${line}:${char}` : \"\"\n if (!file) {\n return `LSP ${op}`\n }\n\n return `LSP ${op} ${file}${pos}`\n}\n\nfunction runLsp(p: ToolProps): ToolInline {\n return {\n icon: \"→\",\n title: lspTitle(p.input, { directory: p.frame.directory }),\n }\n}\n\nfunction patchTitle(file: PatchFile, directory?: string): string {\n if (file.status === \"added\") {\n return `# Created ${toolPath(file.file, { directory })}`\n }\n if (file.status === \"deleted\") {\n return `# Deleted ${toolPath(file.file, { directory })}`\n }\n if (file.status === \"moved\") {\n return `# Moved ${toolPath(file.from, { directory })} -> ${toolPath(file.file, { directory })}`\n }\n\n return `# Patched ${toolPath(file.file, { directory })}`\n}\n\nfunction snapWrite(p: ToolProps): ToolSnapshot | undefined {\n const file = p.input.path || \"\"\n const content = p.input.content || \"\"\n if (!file && !content) {\n return undefined\n }\n\n return {\n kind: \"code\",\n title: `# Wrote ${displayPath(p, file)}`,\n content,\n file,\n }\n}\n\nfunction snapEdit(p: ToolProps): ToolSnapshot | undefined {\n const item = list<PatchFile>(p.metadata.files)[0]\n const file = item?.file || p.input.path || \"\"\n const diff = item?.patch || p.metadata.diff || \"\"\n if (!file || !diff.trim()) {\n return undefined\n }\n\n return {\n kind: \"diff\",\n items: [\n {\n title: `# Edited ${displayPath(p, file)}`,\n diff,\n file,\n },\n ],\n }\n}\n\nfunction snapPatch(p: ToolProps): ToolSnapshot | undefined {\n const files = list<PatchFile>(p.frame.meta.files)\n if (files.length === 0) {\n return undefined\n }\n\n const items = files.flatMap((file) => {\n if (!file || typeof file !== \"object\") {\n return []\n }\n\n const diff = typeof file.patch === \"string\" ? file.patch : \"\"\n if (!diff.trim()) {\n return []\n }\n\n const name = file.file\n return [\n {\n title: patchTitle(file, p.frame.directory),\n diff,\n file: name,\n deletions: typeof file.deletions === \"number\" ? file.deletions : 0,\n },\n ]\n })\n\n if (items.length !== files.length) {\n return undefined\n }\n\n return {\n kind: \"diff\",\n items,\n }\n}\n\nfunction snapTask(p: ToolProps): ToolSnapshot {\n const kind = Locale.titlecase(p.input.agent || \"general\")\n const desc = p.input.description\n const rows = [desc].filter((item): item is string => Boolean(item))\n\n return {\n kind: \"task\",\n title: `# ${kind} Subagent`,\n rows,\n tail: \"\",\n }\n}\n\nfunction snapQuestion(p: ToolProps): ToolSnapshot {\n const answers = list<unknown[]>(p.frame.meta.answers)\n const items = list<{ question?: string }>(p.frame.input.questions).map((item, i) => {\n const answer = list<string>(answers[i]).filter((entry) => typeof entry === \"string\")\n return {\n question: item.question || `Question ${i + 1}`,\n answer: answer.length > 0 ? answer.join(\", \") : \"(no answer)\",\n }\n })\n\n return {\n kind: \"question\",\n items,\n tail: \"\",\n }\n}\n\nfunction scrollBashStart(p: ToolProps): string {\n const cmd = p.input.command ?? \"\"\n const wd = p.input.workdir ?? \"\"\n const formatted = wd && wd !== \".\" ? displayPath(p, wd, { home: true }) : \"\"\n const dir = formatted === \".\" ? \"\" : formatted\n if (cmd && !dir) {\n return `$ ${cmd}`\n }\n\n if (!cmd) {\n return dir ? `${dir}$` : \"\"\n }\n\n return `${dir}$ ${cmd}`\n}\n\nfunction scrollBashProgress(p: ToolProps): string {\n const out = stripAnsi(p.frame.raw)\n const cmd = (p.input.command ?? \"\").trim()\n const fmt = (text: string) => {\n const body = text.replace(/^\\n+/, \"\").replace(/\\n+$/, \"\")\n return body ? `\\n${body}` : \"\"\n }\n\n if (!cmd) {\n return out.replace(/\\n+$/, \"\")\n }\n\n const wdRaw = (p.input.workdir ?? \"\").trim()\n const wd = wdRaw ? displayPath(p, wdRaw, { home: true }) : \"\"\n const lines = out.split(\"\\n\")\n const first = (lines[0] || \"\").trim()\n const second = (lines[1] || \"\").trim()\n\n if (wd && (first === wd || first === wdRaw) && second === cmd) {\n return fmt(lines.slice(2).join(\"\\n\"))\n }\n\n if (first === cmd || first === `$ ${cmd}`) {\n return fmt(lines.slice(1).join(\"\\n\"))\n }\n\n if (wd && (first === `${wd} ${cmd}` || first === `${wdRaw} ${cmd}`)) {\n return fmt(lines.slice(1).join(\"\\n\"))\n }\n\n return fmt(out)\n}\n\nfunction scrollShellFinal(p: ToolProps): string {\n if (p.frame.status === \"error\") {\n return fail(p.frame)\n }\n\n const code = p.metadata.exit\n const time = span(p.frame)\n if (code === undefined) {\n if (!time) {\n return \"shell completed\"\n }\n\n return `shell completed · ${time}`\n }\n\n return `shell completed (exit ${code})${time ? ` · ${time}` : \"\"}`\n}\n\nfunction scrollReadStart(p: ToolProps): string {\n const file = displayPath(p, p.input.path)\n const extra = primitiveInputSummary(p.frame.input, [\"path\"])\n const tail = extra ? ` ${extra}` : \"\"\n return `→ Read ${file}${tail}`.trim()\n}\n\nfunction scrollWriteStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction scrollEditStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction scrollPatchStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction patchLine(file: PatchFile, directory?: string): string {\n if (file.status === \"added\") {\n return `+ Created ${toolPath(file.file, { directory })}`\n }\n\n if (file.status === \"deleted\") {\n return `- Deleted ${toolPath(file.file, { directory })}`\n }\n if (file.status === \"moved\") {\n return `→ Moved ${toolPath(file.from, { directory })} → ${toolPath(file.file, { directory })}`\n }\n\n return `~ Patched ${toolPath(file.file, { directory })}`\n}\n\nfunction scrollPatchFinal(p: ToolProps): string {\n if (p.frame.status === \"error\") {\n return fail(p.frame)\n }\n\n const files = list<PatchFile>(p.frame.meta.files)\n if (files.length === 0) {\n const time = span(p.frame)\n if (!time) {\n return \"patch\"\n }\n\n return `patch · ${time}`\n }\n\n const showModified = !files.some((file) => file?.status && file.status !== \"modified\")\n const shown = files.filter((file) => showModified || file.status !== \"modified\")\n const rows = shown.slice(0, 6).map((file) => patchLine(file, p.frame.directory))\n if (shown.length > 6) {\n rows.push(`... and ${shown.length - 6} more`)\n }\n\n if (rows.length > 0) {\n return rows.join(\"\\n\")\n }\n\n return patchLine(files[0]!, p.frame.directory)\n}\n\nfunction scrollTaskStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction taskResult(output: string): string | undefined {\n if (!output.trim()) {\n return undefined\n }\n\n const match = output.match(/<task_result>\\s*([\\s\\S]*?)\\s*<\\/task_result>/)\n if (match) {\n return match[1].trim() || undefined\n }\n\n const next = output\n .split(\"\\n\")\n .filter((line) => !line.startsWith(\"task_id:\"))\n .join(\"\\n\")\n .trim()\n return next || undefined\n}\n\nfunction scrollTaskFinal(p: ToolProps): string {\n if (p.frame.status === \"error\") {\n return fail(p.frame)\n }\n\n const kind = Locale.titlecase(p.input.agent || \"general\")\n const row = p.input.description\n if (!row) {\n return `# ${kind} Subagent`\n }\n\n return `# ${kind} Subagent\\n${row}`\n}\n\nfunction scrollQuestionStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction scrollQuestionFinal(p: ToolProps): string {\n const q = p.input.questions ?? []\n const a = p.metadata.answers ?? []\n const time = span(p.frame)\n if (q.length === 0) {\n if (!time) {\n return \"0 questions\"\n }\n\n return `0 questions · ${time}`\n }\n\n const rows: string[] = []\n for (const [i, item] of q.slice(0, 4).entries()) {\n const prompt = item.question\n const reply = a[i] ?? []\n rows.push(`? ${prompt || `Question ${i + 1}`}`)\n rows.push(` ${reply.length > 0 ? reply.join(\", \") : \"(no answer)\"}`)\n }\n\n if (q.length > 4) {\n rows.push(`... and ${q.length - 4} more`)\n }\n\n return rows.join(\"\\n\")\n}\n\nfunction scrollLspStart(p: ToolProps): string {\n return `→ ${lspTitle(p.input, { directory: p.frame.directory })}`\n}\n\nfunction scrollSkillStart(p: ToolProps): string {\n return `→ Skill \"${p.metadata.name ?? p.input.id ?? \"\"}\"`\n}\n\nfunction scrollGlobStart(p: ToolProps): string {\n const pattern = p.input.pattern ?? \"\"\n const head = pattern ? `✱ Glob \"${pattern}\"` : \"✱ Glob\"\n const dir = p.input.path ?? \"\"\n if (!dir) {\n return head\n }\n\n return `${head} in ${displayPath(p, dir)}`\n}\n\nfunction scrollGlobFinal(p: ToolProps): string {\n return toolError(p.frame) || fail(p.frame)\n}\n\nfunction scrollGrepStart(p: ToolProps): string {\n const pattern = p.input.pattern ?? \"\"\n const head = pattern ? `✱ Grep \"${pattern}\"` : \"✱ Grep\"\n const dir = p.input.path ?? \"\"\n if (!dir) {\n return head\n }\n\n return `${head} in ${displayPath(p, dir)}`\n}\n\nfunction scrollListStart(p: ToolProps): string {\n const dir = text(dict(p.input).path)\n if (!dir) {\n return \"→ List\"\n }\n\n return `→ List ${displayPath(p, dir)}`\n}\n\nfunction scrollWebfetchStart(p: ToolProps): string {\n const url = p.input.url ?? \"\"\n if (!url) {\n return \"% WebFetch\"\n }\n\n return `% WebFetch ${url}`\n}\n\nfunction scrollWebSearchStart(p: ToolProps): string {\n const title = webSearchProviderLabel(p.metadata.provider)\n const query = p.input.query ?? \"\"\n if (!query) {\n return `◈ ${title}`\n }\n\n return `◈ ${title} \"${query}\"`\n}\n\nconst TOOL_RULES = {\n invalid: {\n view: {\n output: true,\n final: false,\n },\n run: runInvalid,\n scroll: {\n start: () => \"\",\n },\n },\n shell: {\n view: {\n output: true,\n final: false,\n },\n run: runShell,\n scroll: {\n start: scrollBashStart,\n progress: scrollBashProgress,\n final: scrollShellFinal,\n },\n },\n write: {\n view: {\n output: false,\n final: true,\n snap: \"code\",\n },\n run: runWrite,\n snap: snapWrite,\n scroll: {\n start: scrollWriteStart,\n },\n },\n edit: {\n view: {\n output: false,\n final: true,\n snap: \"diff\",\n },\n run: runEdit,\n snap: snapEdit,\n scroll: {\n start: scrollEditStart,\n },\n },\n patch: {\n view: {\n output: false,\n final: true,\n snap: \"diff\",\n },\n run: runPatch,\n snap: snapPatch,\n scroll: {\n start: scrollPatchStart,\n final: scrollPatchFinal,\n },\n },\n batch: {\n view: {\n output: true,\n final: false,\n },\n run: runBatch,\n scroll: {\n start: () => \"\",\n },\n },\n subagent: {\n view: {\n output: false,\n final: true,\n snap: \"structured\",\n },\n run: runTask,\n snap: snapTask,\n scroll: {\n start: scrollTaskStart,\n final: scrollTaskFinal,\n },\n },\n question: {\n view: {\n output: false,\n final: true,\n snap: \"structured\",\n },\n run: runQuestion,\n snap: snapQuestion,\n scroll: {\n start: scrollQuestionStart,\n final: scrollQuestionFinal,\n },\n },\n read: {\n view: {\n output: false,\n final: false,\n },\n run: runRead,\n scroll: {\n start: scrollReadStart,\n },\n },\n glob: {\n view: {\n output: false,\n final: false,\n },\n run: runGlob,\n scroll: {\n start: scrollGlobStart,\n final: scrollGlobFinal,\n },\n },\n grep: {\n view: {\n output: false,\n final: false,\n },\n run: runGrep,\n scroll: {\n start: scrollGrepStart,\n },\n },\n list: {\n view: {\n output: false,\n final: false,\n },\n run: runList,\n scroll: {\n start: scrollListStart,\n },\n },\n lsp: {\n view: {\n output: false,\n final: false,\n },\n run: runLsp,\n scroll: {\n start: scrollLspStart,\n },\n },\n webfetch: {\n view: {\n output: false,\n final: false,\n },\n run: runWebfetch,\n scroll: {\n start: scrollWebfetchStart,\n },\n },\n websearch: {\n view: {\n output: false,\n final: false,\n },\n run: runWebSearch,\n scroll: {\n start: scrollWebSearchStart,\n },\n },\n skill: {\n view: {\n output: false,\n final: false,\n },\n run: runSkill,\n scroll: {\n start: scrollSkillStart,\n },\n },\n} as const satisfies ToolRegistry\n\nfunction key(name: string): name is ToolName {\n return Object.prototype.hasOwnProperty.call(TOOL_RULES, name)\n}\n\nfunction rule(name?: string): AnyToolRule | undefined {\n if (!name || !key(name)) {\n return undefined\n }\n\n return TOOL_RULES[name]\n}\n\nfunction frame(part: SessionMessageAssistantTool, directory?: string): ToolFrame {\n const tool = normalizeTool(part)\n if (tool.state.status === \"streaming\")\n return {\n directory,\n raw: tool.state.input,\n name: tool.name,\n input: {},\n meta: {},\n state: dict(tool.state),\n status: tool.state.status,\n error: \"\",\n output: \"\",\n time: { start: tool.time.created },\n }\n const output = toolOutputText(tool.name, toolDisplayContent(tool.state))\n return {\n directory,\n raw: output,\n name: tool.name,\n input: normalizeInput(tool.name, tool.state.input),\n meta: normalizeMetadata(tool.name, tool.state.metadata),\n state: dict(tool.state),\n status: tool.state.status,\n error: tool.state.status === \"error\" ? tool.state.error.message : \"\",\n output,\n time: {\n start: tool.time.ran ?? tool.time.created,\n end: tool.time.completed,\n },\n }\n}\n\nfunction toolFrame(commit: StreamCommit, raw: string): ToolFrame {\n const current = commit.part ? frame(commit.part, commit.directory) : undefined\n return {\n directory: commit.directory,\n raw,\n name: canonicalToolName(commit.tool || current?.name || \"tool\"),\n input: current?.input ?? {},\n meta: current?.meta ?? {},\n state: current?.state ?? {},\n status: commit.toolState ?? current?.status ?? \"\",\n error: (commit.toolError ?? current?.error ?? \"\").trim(),\n output: current?.output ?? raw,\n time: current?.time ?? {},\n }\n}\n\nfunction runShell(p: ToolProps): ToolInline {\n return {\n icon: \"$\",\n title: p.input.command || \"\",\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output.trim() : undefined,\n }\n}\n\nexport function toolView(name?: string): ToolView {\n return (\n rule(name ? canonicalToolName(name) : undefined)?.view ?? {\n output: true,\n final: true,\n }\n )\n}\n\nexport function toolStructuredFinal(commit: StreamCommit): boolean {\n const state = commit.toolState ?? commit.part?.state.status\n return (\n commit.kind === \"tool\" &&\n commit.phase === \"final\" &&\n state === \"completed\" &&\n Boolean(toolView(commit.tool ?? commit.part?.name).snap)\n )\n}\n\nexport function toolInlineInfo(part: SessionMessageAssistantTool, directory?: string): ToolInline {\n const ctx = frame(part, directory)\n const draw = rule(ctx.name)?.run\n try {\n if (draw) {\n return draw(props(ctx))\n }\n } catch {\n return fallbackInline(ctx)\n }\n\n return fallbackInline(ctx)\n}\n\nexport function toolScroll(phase: ToolPhase, ctx: ToolFrame): string {\n const draw = rule(ctx.name)?.scroll?.[phase]\n try {\n if (draw) {\n return draw(props(ctx))\n }\n } catch {\n if (phase === \"start\") {\n return fallbackStart(ctx)\n }\n if (phase === \"progress\") {\n return ctx.raw\n }\n return fallbackFinal(ctx)\n }\n\n if (phase === \"start\") {\n return fallbackStart(ctx)\n }\n\n if (phase === \"progress\") {\n return ctx.raw\n }\n\n return fallbackFinal(ctx)\n}\n\nfunction toolSnapshot(commit: StreamCommit, raw: string): ToolSnapshot | undefined {\n const ctx = toolFrame(commit, raw)\n const draw = rule(ctx.name)?.snap\n if (!draw) {\n return undefined\n }\n\n try {\n return draw(props(ctx))\n } catch {\n return undefined\n }\n}\n\nfunction textBody(content: string): RunEntryBody | undefined {\n if (!content) {\n return undefined\n }\n\n return {\n type: \"text\",\n content,\n }\n}\n\nfunction markdownBody(content: string): RunEntryBody | undefined {\n if (!content) {\n return undefined\n }\n\n return {\n type: \"markdown\",\n content,\n }\n}\n\nfunction structuredBody(commit: StreamCommit, raw: string): RunEntryBody | undefined {\n const snap = toolSnapshot(commit, raw)\n if (!snap) {\n return undefined\n }\n\n return {\n type: \"structured\",\n snapshot: snap,\n }\n}\n\nconst STRUCTURED_FALLBACK_LENGTH = 4_096\n\nfunction structuredFallback(value: ToolDict): RunEntryBody | undefined {\n if (Object.keys(value).length === 0) return\n const content = JSON.stringify(value, null, 2)\n if (!content) return\n const suffix = \"\\n... [truncated]\"\n return {\n type: \"code\",\n content:\n content.length <= STRUCTURED_FALLBACK_LENGTH\n ? content\n : content.slice(0, STRUCTURED_FALLBACK_LENGTH - suffix.length) + suffix,\n filetype: \"json\",\n }\n}\n\nfunction shellOutput(command: string, raw: string): string | undefined {\n const body = stripAnsi(raw).replace(/^\\n+/, \"\").replace(/\\n+$/, \"\")\n if (!body) {\n return undefined\n }\n\n if (!command) {\n return body\n }\n\n return `\\n${body}`\n}\n\nexport function toolEntryBody(\n commit: StreamCommit,\n raw: string,\n options?: { shellOutput?: boolean },\n): RunEntryBody | undefined {\n if (commit.shell) {\n if (commit.phase === \"start\") {\n return textBody(`$ ${commit.shell.command}`)\n }\n\n if (commit.phase === \"progress\") {\n return textBody(shellOutput(commit.shell.command, raw) ?? \"\")\n }\n\n if (commit.toolState === \"error\") {\n const ctx = toolFrame(commit, raw)\n return textBody(toolScroll(\"final\", ctx))\n }\n\n return undefined\n }\n\n const ctx = toolFrame(commit, raw)\n const view = toolView(ctx.name)\n\n if (ctx.name === \"shell\" && commit.phase === \"progress\" && options?.shellOutput === false) return undefined\n\n if (ctx.name === \"subagent\") {\n if (commit.phase === \"start\") {\n return undefined\n }\n\n if (commit.phase === \"final\" && ctx.status === \"completed\") {\n const result = taskResult(ctx.output)\n if (result) {\n return markdownBody(result)\n }\n }\n }\n\n if (commit.phase === \"progress\" && !view.output) {\n return undefined\n }\n\n if (commit.phase === \"final\") {\n if (ctx.status === \"error\") {\n return textBody(toolScroll(\"final\", ctx))\n }\n\n if (!view.final) {\n return undefined\n }\n\n if (ctx.status && ctx.status !== \"completed\") {\n return textBody(ctx.raw.trim())\n }\n\n if (toolStructuredFinal(commit)) {\n return structuredBody(commit, raw) ?? textBody(toolScroll(\"final\", ctx))\n }\n\n if (!rule(ctx.name) && !ctx.output.trim()) {\n return structuredFallback(ctx.meta) ?? textBody(toolScroll(\"final\", ctx))\n }\n }\n\n return textBody(toolScroll(commit.phase, ctx))\n}\n\nexport function toolFiletype(input?: string): string | undefined {\n if (!input) {\n return undefined\n }\n\n const ext = path.extname(input)\n const lang = LANGUAGE_EXTENSIONS[ext]\n if ([\"typescriptreact\", \"javascriptreact\", \"javascript\"].includes(lang)) {\n return \"typescript\"\n }\n\n return lang\n}\n" | ||
| ], | ||
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| ||
| "debugId": "E6E7FF1FDD89815064756E2164756E21", | ||
| "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": "8DDB90D1F596ED3964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/util/error.ts"], | ||
| "sourcesContent": [ | ||
| "export function errorMessage(error: unknown) {\n if (error instanceof Error) return error.message\n if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\") {\n return error.message\n }\n return String(error)\n}\n" | ||
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| "debugId": "9A484D3B26A08F4E64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/tool-stream.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { AIError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from \"../../schema/index.js\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared.js\"\n\ntype StreamKey = string | number\n\n/**\n * One pending streamed tool call. Providers emit the tool identity and JSON\n * argument text across separate chunks; `input` is the raw JSON string collected\n * so far, not the parsed object.\n */\nexport interface PendingTool extends ToolAccumulator {\n readonly providerExecuted?: boolean\n readonly providerMetadata?: ProviderMetadata\n}\n\n/**\n * Sparse parser state keyed by the provider's stream-local tool identifier.\n *\n * This key is not the final tool-call id (`call_...`). It is the id/index the\n * provider uses while streaming a partial call: OpenAI Chat / Anthropic /\n * Bedrock use numeric content indexes, while OpenAI Responses uses string\n * `item_id`s. The generic keeps each protocol internally consistent.\n */\nexport type State<K extends StreamKey> = Partial<Record<K, PendingTool>>\n\n/**\n * Result of adding argument text to one pending tool call. It returns both the\n * next `tools` state and the updated `tool` because parsers often need the\n * current id/name immediately. `events` contains lifecycle and delta events\n * produced by the append; metadata-only deltas update identity without output.\n */\nexport interface AppendOutcome<K extends StreamKey> {\n readonly tools: State<K>\n readonly tool: PendingTool\n readonly events: ReadonlyArray<LLMEvent>\n}\n\n/** Create empty accumulator state for one provider stream. */\nexport const empty = <K extends StreamKey>(): State<K> => ({})\n\nconst withTool = <K extends StreamKey>(tools: State<K>, key: K, tool: PendingTool): State<K> => {\n return { ...tools, [key]: tool }\n}\n\nconst withoutTool = <K extends StreamKey>(tools: State<K>, key: K): State<K> => {\n const next = { ...tools }\n delete next[key]\n return next\n}\n\nconst inputStart = (tool: PendingTool) =>\n LLMEvent.toolInputStart({\n id: tool.id,\n name: tool.name,\n providerExecuted: tool.providerExecuted ? true : undefined,\n providerMetadata: tool.providerMetadata,\n })\n\nconst inputDelta = (tool: PendingTool, text: string) =>\n LLMEvent.toolInputDelta({\n id: tool.id,\n name: tool.name,\n text,\n })\n\nconst toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {\n const raw = inputOverride ?? tool.input\n return parseToolInput(route, tool.name, raw).pipe(\n Effect.map((input): ToolCall | ToolInputError =>\n LLMEvent.toolCall({\n id: tool.id,\n name: tool.name,\n input,\n providerExecuted: tool.providerExecuted ? true : undefined,\n providerMetadata: tool.providerMetadata,\n }),\n ),\n Effect.catch((error) =>\n tool.providerExecuted\n ? Effect.fail(error)\n : Effect.succeed(\n LLMEvent.toolInputError({\n id: tool.id,\n name: tool.name,\n raw,\n }),\n ),\n ),\n )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>\n event.type === \"tool-input-error\"\n ? [event]\n : [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: PendingTool,\n text: string,\n): AppendOutcome<K> => {\n const events: LLMEvent[] = []\n if (!tools[key]) events.push(inputStart(tool))\n if (text.length > 0) events.push(inputDelta(tool, text))\n return {\n tools: withTool(tools, key, tool),\n tool,\n events,\n }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | AIError): result is AIError =>\n result instanceof AIError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n delta: { readonly id?: string; readonly name?: string; readonly text: string },\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n const id = current?.id ?? delta.id\n const name = current?.name ?? delta.name\n if (!id || !name) return eventError(route, missingToolMessage)\n\n const tool = {\n id,\n name,\n input: `${current?.input ?? \"\"}${delta.text}`,\n providerExecuted: current?.providerExecuted,\n providerMetadata: current?.providerMetadata,\n }\n if (current && delta.text.length === 0 && current.id === id && current.name === name)\n return { tools, tool: current, events: [] }\n return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n text: string,\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n if (!current) return eventError(route, missingToolMessage)\n if (text.length === 0) return { tools, tool: current, events: [] }\n return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and return either a call or a non-executable local input error.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool)),\n }\n })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool, input)),\n }\n })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n Effect.gen(function* () {\n const pending = Object.values<PendingTool | undefined>(tools).filter(\n (tool): tool is PendingTool => tool !== undefined,\n )\n return {\n tools: empty<K>(),\n events: yield* Effect.forEach(pending, (tool) =>\n toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n ).pipe(Effect.map((events) => events.flat())),\n }\n })\n\nexport * as ToolStream from \"./tool-stream.js\"\n" | ||
| ], | ||
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| "debugId": "38C2AF1EC46C865B64756E2164756E21", | ||
| "names": [] | ||
| } |
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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": "F344E2CFCEBF146564756E2164756E21", | ||
| "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": "19FBFFC170FDBEFD64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/tool-display.ts", "../tui/src/util/path-format.ts", "../tui/src/util/filetype.ts", "../../node_modules/.bun/ansi-regex@6.2.2/node_modules/ansi-regex/index.js", "../../node_modules/.bun/strip-ansi@7.1.2/node_modules/strip-ansi/index.js"], | ||
| "sourcesContent": [ | ||
| "export function canonicalToolName(name: string) {\n if (name === \"bash\") return \"shell\"\n if (name === \"task\") return \"subagent\"\n if (name === \"apply_patch\") return \"patch\"\n return name\n}\n\nexport function finiteNumber(value: unknown): number | undefined {\n if (typeof value !== \"number\" || !Number.isFinite(value)) return\n return value\n}\n\nexport function primitiveInputSummary(input: Record<string, unknown>, omit: readonly string[] = []) {\n const entries = Object.entries(input).filter(([key, value]) => {\n if (omit.includes(key)) return false\n return typeof value === \"string\" || typeof value === \"number\" || typeof value === \"boolean\"\n })\n if (entries.length === 0) return \"\"\n return `[${entries.map(([key, value]) => `${key}=${String(value)}`).join(\", \")}]`\n}\n\nexport function webSearchProviderLabel(provider: unknown) {\n if (typeof provider !== \"string\" || !provider) return \"Web Search\"\n return `Web Search via ${provider[0].toUpperCase()}${provider.slice(1)}`\n}\n\nexport function toolDisplayMetadata(state: unknown): Record<string, unknown> {\n if (!state || typeof state !== \"object\" || Array.isArray(state)) return {}\n if (!(\"status\" in state) || state.status === \"streaming\") return {}\n if (!(\"metadata\" in state) || !state.metadata || typeof state.metadata !== \"object\") return {}\n if (Array.isArray(state.metadata)) return {}\n return state.metadata as Record<string, unknown>\n}\n\nexport function toolDisplayContent(state: SessionMessageAssistantTool[\"state\"]) {\n if (state.status === \"streaming\" || state.status === \"running\") return []\n return state.content ?? []\n}\n\nexport function nonEmptyToolContent<T>(content: ReadonlyArray<T> | undefined): [T, ...T[]] | undefined {\n if (!content) return undefined\n const [first, ...rest] = content\n return first === undefined ? undefined : [first, ...rest]\n}\nimport type { SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\n", | ||
| "import path from \"path\"\n\nexport function abbreviateHome(input: string, home: string) {\n if (!home) return input\n const paths = windowsPath(home) ? path.win32 : path.posix\n const relative = paths.relative(home, input)\n if (!relative) return \"~\"\n if (relative === \"..\" || relative.startsWith(\"..\" + paths.sep) || paths.isAbsolute(relative)) return input\n return \"~/\" + relative.split(paths.sep).join(\"/\")\n}\n\nexport function formatPath(\n input: string | undefined,\n options: { base: string; home?: string; forwardSlashes?: boolean },\n) {\n if (!input) return \"\"\n const windows = windowsPath(options.base)\n if (!windows && windowsPath(input)) {\n return options.forwardSlashes ? input.replaceAll(\"\\\\\", \"/\") : input\n }\n\n const paths = windows ? path.win32 : path.posix\n const absolute = paths.isAbsolute(input) ? input : paths.resolve(options.base, input)\n const relative = paths.relative(options.base, absolute)\n const formatted = !relative\n ? \".\"\n : relative !== \"..\" && !relative.startsWith(\"..\" + paths.sep) && !paths.isAbsolute(relative)\n ? relative\n : options.home\n ? abbreviateHome(absolute, options.home)\n : absolute\n return options.forwardSlashes ? formatted.replaceAll(\"\\\\\", \"/\") : formatted\n}\n\nfunction windowsPath(input: string) {\n return /^[A-Za-z]:[\\\\/]/.test(input) || input.startsWith(\"\\\\\\\\\")\n}\n", | ||
| "import path from \"node:path\"\n\nexport const LANGUAGE_EXTENSIONS: Record<string, string> = {\n \".abap\": \"abap\",\n \".bat\": \"bat\",\n \".bib\": \"bibtex\",\n \".bibtex\": \"bibtex\",\n \".clj\": \"clojure\",\n \".cljs\": \"clojure\",\n \".cljc\": \"clojure\",\n \".edn\": \"clojure\",\n \".coffee\": \"coffeescript\",\n \".c\": \"c\",\n \".cpp\": \"cpp\",\n \".cxx\": \"cpp\",\n \".cc\": \"cpp\",\n \".c++\": \"cpp\",\n \".cs\": \"csharp\",\n \".csx\": \"csharp\",\n \".css\": \"css\",\n \".d\": \"d\",\n \".pas\": \"pascal\",\n \".pascal\": \"pascal\",\n \".diff\": \"diff\",\n \".patch\": \"diff\",\n \".dart\": \"dart\",\n \".dockerfile\": \"dockerfile\",\n \".ex\": \"elixir\",\n \".exs\": \"elixir\",\n \".erl\": \"erlang\",\n \".ets\": \"typescript\",\n \".hrl\": \"erlang\",\n \".fs\": \"fsharp\",\n \".fsi\": \"fsharp\",\n \".fsx\": \"fsharp\",\n \".fsscript\": \"fsharp\",\n \".gitcommit\": \"git-commit\",\n \".gitrebase\": \"git-rebase\",\n \".go\": \"go\",\n \".groovy\": \"groovy\",\n \".gleam\": \"gleam\",\n \".hbs\": \"handlebars\",\n \".handlebars\": \"handlebars\",\n \".hs\": \"haskell\",\n \".lhs\": \"haskell\",\n \".html\": \"html\",\n \".htm\": \"html\",\n \".ini\": \"ini\",\n \".java\": \"java\",\n \".jl\": \"julia\",\n \".js\": \"javascript\",\n \".kt\": \"kotlin\",\n \".kts\": \"kotlin\",\n \".jsx\": \"javascriptreact\",\n \".json\": \"json\",\n \".tex\": \"latex\",\n \".latex\": \"latex\",\n \".less\": \"less\",\n \".lua\": \"lua\",\n \".makefile\": \"makefile\",\n makefile: \"makefile\",\n \".md\": \"markdown\",\n \".markdown\": \"markdown\",\n \".m\": \"objective-c\",\n \".mm\": \"objective-cpp\",\n \".pl\": \"perl\",\n \".pm\": \"perl\",\n \".pm6\": \"perl6\",\n \".php\": \"php\",\n \".ps1\": \"powershell\",\n \".psm1\": \"powershell\",\n \".pug\": \"jade\",\n \".jade\": \"jade\",\n \".py\": \"python\",\n \".r\": \"r\",\n \".cshtml\": \"razor\",\n \".razor\": \"razor\",\n \".rb\": \"ruby\",\n \".rake\": \"ruby\",\n \".gemspec\": \"ruby\",\n \".ru\": \"ruby\",\n \".erb\": \"erb\",\n \".html.erb\": \"erb\",\n \".js.erb\": \"erb\",\n \".css.erb\": \"erb\",\n \".json.erb\": \"erb\",\n \".rs\": \"rust\",\n \".scss\": \"scss\",\n \".sass\": \"sass\",\n \".scala\": \"scala\",\n \".shader\": \"shaderlab\",\n \".sh\": \"shellscript\",\n \".bash\": \"shellscript\",\n \".zsh\": \"shellscript\",\n \".ksh\": \"shellscript\",\n \".sql\": \"sql\",\n \".svelte\": \"svelte\",\n \".swift\": \"swift\",\n \".ts\": \"typescript\",\n \".tsx\": \"typescriptreact\",\n \".mts\": \"typescript\",\n \".cts\": \"typescript\",\n \".mtsx\": \"typescriptreact\",\n \".ctsx\": \"typescriptreact\",\n \".xml\": \"xml\",\n \".xsl\": \"xsl\",\n \".yaml\": \"yaml\",\n \".yml\": \"yaml\",\n \".mjs\": \"javascript\",\n \".cjs\": \"javascript\",\n \".vue\": \"vue\",\n \".zig\": \"zig\",\n \".zon\": \"zig\",\n \".astro\": \"astro\",\n \".ml\": \"ocaml\",\n \".mli\": \"ocaml\",\n \".tf\": \"terraform\",\n \".tfvars\": \"terraform-vars\",\n \".hcl\": \"hcl\",\n \".nix\": \"nix\",\n \".typ\": \"typst\",\n \".typc\": \"typst\",\n}\n\nexport function filetype(input?: string) {\n if (!input) return \"none\"\n const language = LANGUAGE_EXTENSIONS[path.extname(input)]\n if ([\"typescriptreact\", \"javascriptreact\", \"javascript\"].includes(language)) return \"typescript\"\n return language\n}\n", | ||
| "export default function ansiRegex({onlyFirst = false} = {}) {\n\t// Valid string terminator sequences are BEL, ESC\\, and 0x9c\n\tconst ST = '(?:\\\\u0007|\\\\u001B\\\\u005C|\\\\u009C)';\n\n\t// OSC sequences only: ESC ] ... ST (non-greedy until the first ST)\n\tconst osc = `(?:\\\\u001B\\\\][\\\\s\\\\S]*?${ST})`;\n\n\t// CSI and related: ESC/C1, optional intermediates, optional params (supports ; and :) then final byte\n\tconst csi = '[\\\\u001B\\\\u009B][[\\\\]()#;?]*(?:\\\\d{1,4}(?:[;:]\\\\d{0,4})*)?[\\\\dA-PR-TZcf-nq-uy=><~]';\n\n\tconst pattern = `${osc}|${csi}`;\n\n\treturn new RegExp(pattern, onlyFirst ? undefined : 'g');\n}\n", | ||
| "import ansiRegex from 'ansi-regex';\n\nconst regex = ansiRegex();\n\nexport default function stripAnsi(string) {\n\tif (typeof string !== 'string') {\n\t\tthrow new TypeError(`Expected a \\`string\\`, got \\`${typeof string}\\``);\n\t}\n\n\t// Even though the regex is global, we don't need to reset the `.lastIndex`\n\t// because unlike `.exec()` and `.test()`, `.replace()` does it automatically\n\t// and doing it manually has a performance penalty.\n\treturn string.replace(regex, '');\n}\n" | ||
| ], | ||
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| "debugId": "749D8DD789ED3DFA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../util/src/bom.ts", "../util/src/patch.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Bom from \"./bom.js\"\n\nimport { Effect } from \"effect\"\nimport { FSUtil } from \"./fs-util.js\"\n\nconst code = 0xfeff\nconst value = String.fromCharCode(code)\n\nexport function split(text: string) {\n const stripped = text.replace(/^\\uFEFF+/, \"\")\n return { bom: stripped.length !== text.length, text: stripped }\n}\n\nexport function join(text: string, bom: boolean) {\n const stripped = split(text).text\n return bom ? value + stripped : stripped\n}\n\nexport function has(content: Uint8Array) {\n return content[0] === 0xef && content[1] === 0xbb && content[2] === 0xbf\n}\n\nexport function decodeBytes(content: Uint8Array) {\n return split(decode(content))\n}\n\nexport function syncBytes(content: Uint8Array, bom: boolean) {\n const decoded = decode(content)\n const current = split(decoded)\n const canonical = join(current.text, bom)\n return { text: current.text, bytes: decoded === canonical ? undefined : new TextEncoder().encode(canonical) }\n}\n\nexport const readFile = Effect.fn(\"Bom.readFile\")(function* (fs: FSUtil.Interface, filepath: string) {\n return decodeBytes(yield* fs.readFile(filepath))\n})\n\nexport const syncFile = Effect.fn(\"Bom.syncFile\")(function* (fs: FSUtil.Interface, filepath: string, bom: boolean) {\n const synced = syncBytes(yield* fs.readFile(filepath), bom)\n if (synced.bytes) yield* fs.writeWithDirs(filepath, synced.bytes)\n return synced.text\n})\n\nfunction decode(content: Uint8Array) {\n return new TextDecoder(\"utf-8\", { ignoreBOM: true }).decode(content)\n}\n", | ||
| "export * as Patch from \"./patch.js\"\n\nimport { Result, Schema } from \"effect\"\nimport { Bom } from \"./bom.js\"\n\nexport class BoundaryError extends Schema.TaggedError<BoundaryError>()(\"Patch.BoundaryError\", {\n boundary: Schema.Literals([\"first\", \"last\"]),\n}) {\n override get message() {\n return `The ${this.boundary} line of the patch must be '${this.boundary === \"first\" ? \"*** Begin Patch\" : \"*** End Patch\"}'`\n }\n}\n\nexport class InvalidHunkError extends Schema.TaggedError<InvalidHunkError>()(\"Patch.InvalidHunkError\", {\n line: Schema.String,\n lineNumber: Schema.Number,\n reason: Schema.optional(Schema.String),\n}) {\n override get message() {\n if (this.reason) return `Invalid hunk at line ${this.lineNumber}: ${this.reason}`\n return `Invalid hunk at line ${this.lineNumber}: '${this.line}' is not a valid hunk header. Valid hunk headers: '*** Add File: {path}', '*** Delete File: {path}', '*** Update File: {path}'`\n }\n}\n\nexport type ParseError = BoundaryError | InvalidHunkError\n\nexport type Hunk =\n | { readonly type: \"add\"; readonly path: string; readonly contents: string }\n | { readonly type: \"delete\"; readonly path: string }\n | {\n readonly type: \"update\"\n readonly path: string\n readonly movePath?: string\n readonly chunks: ReadonlyArray<UpdateFileChunk>\n }\n\nexport interface UpdateFileChunk {\n readonly oldLines: ReadonlyArray<string>\n readonly newLines: ReadonlyArray<string>\n readonly changeContext?: string\n readonly endOfFile?: boolean\n}\n\nexport interface FileUpdate {\n readonly content: string\n readonly bom: boolean\n}\n\nexport function parse(patchText: string): Result.Result<ReadonlyArray<Hunk>, ParseError> {\n const lines = stripHeredoc(patchText.trim())\n .split(\"\\n\")\n .map((line) => (line.endsWith(\"\\r\") ? line.slice(0, -1) : line))\n const begin = lines[0]?.trim() === \"*** Begin Patch\" ? 0 : -1\n const end = lines.at(-1)?.trim() === \"*** End Patch\" ? lines.length - 1 : -1\n if (begin === -1) return Result.fail(new BoundaryError({ boundary: \"first\" }))\n if (end === -1 || begin >= end) return Result.fail(new BoundaryError({ boundary: \"last\" }))\n\n const hunks: Hunk[] = []\n let index = begin + 1\n while (index < end) {\n const line = lines[index]!\n const header = line.trim()\n if (\n index === begin + 1 &&\n header.startsWith(\"*** Environment ID:\") &&\n header.slice(\"*** Environment ID:\".length).trim()\n ) {\n index++\n continue\n }\n if (header.startsWith(\"*** Add File: \")) {\n const path = header.slice(\"*** Add File: \".length).trim()\n const parsed = parseAdd(lines, index + 1, end, path)\n if (\"error\" in parsed) return Result.fail(parsed.error)\n hunks.push({ type: \"add\", path, contents: parsed.content })\n index = parsed.next\n continue\n }\n if (header.startsWith(\"*** Delete File: \")) {\n const path = header.slice(\"*** Delete File: \".length).trim()\n const next = lines[index + 1]?.trim()\n if (index + 1 < end && next !== undefined && !isBoundary(next)) {\n if (next.startsWith(\"*** \")) {\n return Result.fail(new InvalidHunkError({ line: next, lineNumber: index + 2 }))\n }\n return Result.fail(\n new InvalidHunkError({\n line: next,\n lineNumber: index + 2,\n reason: `Unexpected line after Delete File '${path}': '${next}'. Delete hunks do not contain body lines`,\n }),\n )\n }\n hunks.push({ type: \"delete\", path })\n index++\n continue\n }\n if (header.startsWith(\"*** Update File: \")) {\n const path = header.slice(\"*** Update File: \".length).trim()\n let next = index + 1\n let movePath: string | undefined\n while (lines[next]?.trimEnd() === \"*** End of File\") next++\n const move = lines[next]?.trimEnd()\n if (move === \"*** Move to:\" || move?.startsWith(\"*** Move to: \")) {\n movePath = move.slice(\"*** Move to: \".length).trim()\n if (!movePath) {\n return Result.fail(\n new InvalidHunkError({\n line: lines[next]!.trim(),\n lineNumber: next + 1,\n reason: `Move destination for '${path}' must not be empty`,\n }),\n )\n }\n next++\n }\n const parsed = parseUpdate(lines, next, end, path, index)\n if (\"error\" in parsed) return Result.fail(parsed.error)\n hunks.push({ type: \"update\", path, movePath, chunks: parsed.chunks })\n index = parsed.next\n continue\n }\n return Result.fail(new InvalidHunkError({ line: header, lineNumber: index + 1 }))\n }\n return Result.succeed(hunks)\n}\n\nexport function derive(path: string, chunks: ReadonlyArray<UpdateFileChunk>, original: string): FileUpdate {\n const source = Bom.split(original)\n const lines = source.text.split(\"\\n\")\n if (lines.at(-1) === \"\") lines.pop()\n const replacements = computeReplacements(lines, path, chunks)\n const updated = [...lines]\n for (const [start, remove, insert] of replacements.toReversed()) updated.splice(start, remove, ...insert)\n if (updated.at(-1) !== \"\") updated.push(\"\")\n const next = Bom.split(updated.join(\"\\n\"))\n return { content: next.text, bom: source.bom || next.bom }\n}\n\nexport function joinBom(text: string, bom: boolean) {\n return Bom.join(text, bom)\n}\n\nfunction parseAdd(\n lines: ReadonlyArray<string>,\n start: number,\n end: number,\n path: string,\n): { content: string; next: number } | { error: InvalidHunkError } {\n const content: string[] = []\n let index = start\n while (index < end && !isBoundary(lines[index]!.trim())) {\n if (!lines[index]!.startsWith(\"+\")) {\n const line = lines[index]!.trim()\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: `Invalid Add File line for '${path}': expected a line starting with '+', got '${line}'`,\n }),\n }\n }\n content.push(lines[index]!.slice(1))\n index++\n }\n return { content: content.join(\"\\n\"), next: index }\n}\n\nfunction parseUpdate(\n lines: ReadonlyArray<string>,\n start: number,\n end: number,\n path: string,\n hunk: number,\n): { chunks: ReadonlyArray<UpdateFileChunk>; next: number } | { error: InvalidHunkError } {\n const chunks: Array<{\n oldLines: string[]\n newLines: string[]\n changeContext?: string\n endOfFile?: boolean\n }> = []\n let index = start\n let afterEndOfFile = false\n while (index < end) {\n const line = lines[index]!\n const updateLine = line.trimEnd()\n if (afterEndOfFile) {\n if (updateLine === \"\") {\n index++\n continue\n }\n if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) afterEndOfFile = false\n else if (isBoundary(updateLine)) break\n else {\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: `Expected update hunk to start with a @@ context marker, got: '${line}'`,\n }),\n }\n }\n }\n if (updateLine === \"*** End of File\") {\n const chunk = chunks.at(-1)\n if (chunk && chunk.oldLines.length === 0 && chunk.newLines.length === 0) {\n return {\n error: new InvalidHunkError({\n line: updateLine,\n lineNumber: index + 1,\n reason: \"Update hunk does not contain any lines\",\n }),\n }\n }\n if (chunk) {\n chunk.endOfFile = true\n afterEndOfFile = true\n }\n index++\n continue\n }\n if (isBoundary(updateLine)) break\n if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) {\n const previous = chunks.at(-1)\n if (previous && previous.oldLines.length === 0 && previous.newLines.length === 0) {\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n }),\n }\n }\n chunks.push({\n oldLines: [],\n newLines: [],\n changeContext: updateLine === \"@@\" ? undefined : updateLine.slice(\"@@ \".length),\n })\n index++\n continue\n }\n if (chunks.length === 0) chunks.push({ oldLines: [], newLines: [] })\n const chunk = chunks.at(-1)!\n if (line === \"\") {\n chunk.oldLines.push(\"\")\n chunk.newLines.push(\"\")\n index++\n continue\n }\n if (line.startsWith(\" \")) {\n chunk.oldLines.push(line.slice(1))\n chunk.newLines.push(line.slice(1))\n index++\n continue\n }\n if (line.startsWith(\"-\")) {\n chunk.oldLines.push(line.slice(1))\n index++\n continue\n }\n if (line.startsWith(\"+\")) {\n chunk.newLines.push(line.slice(1))\n index++\n continue\n }\n const populated = chunk.oldLines.length > 0 || chunk.newLines.length > 0\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: populated\n ? `Expected update hunk to start with a @@ context marker, got: '${line}'`\n : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n }),\n }\n }\n if (chunks.length === 0) {\n return {\n error: new InvalidHunkError({\n line: lines[hunk]!.trim(),\n lineNumber: hunk + 1,\n reason: `Update file hunk for path '${path}' is empty`,\n }),\n }\n }\n const last = chunks.at(-1)!\n if (last.oldLines.length === 0 && last.newLines.length === 0) {\n const line = lines[index]!.trim()\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason:\n line === \"*** End Patch\"\n ? \"Update hunk does not contain any lines\"\n : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n }),\n }\n }\n return { chunks, next: index }\n}\n\nfunction isBoundary(line: string) {\n return (\n line === \"*** End Patch\" ||\n line.startsWith(\"*** Add File: \") ||\n line.startsWith(\"*** Delete File: \") ||\n line.startsWith(\"*** Update File: \")\n )\n}\n\nfunction computeReplacements(lines: ReadonlyArray<string>, path: string, chunks: ReadonlyArray<UpdateFileChunk>) {\n const replacements: Array<readonly [start: number, remove: number, insert: ReadonlyArray<string>]> = []\n let lineIndex = 0\n for (const chunk of chunks) {\n if (chunk.changeContext) {\n const context = seek(lines, [chunk.changeContext], lineIndex)\n if (context === -1) throw new Error(`Failed to find context '${chunk.changeContext}' in ${path}`)\n lineIndex = context + 1\n }\n if (chunk.oldLines.length === 0) {\n replacements.push([lines.length, 0, chunk.newLines])\n continue\n }\n let oldLines = chunk.oldLines\n let newLines = chunk.newLines\n let found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n if (found === -1 && oldLines.at(-1) === \"\") {\n oldLines = oldLines.slice(0, -1)\n if (newLines.at(-1) === \"\") newLines = newLines.slice(0, -1)\n found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n }\n if (found === -1 && chunk.oldLines.every((line) => line === \"\")) {\n const expected =\n chunk.oldLines.length === 1 ? \"an expected blank line\" : `${chunk.oldLines.length} consecutive blank lines`\n throw new Error(`Failed to find ${expected} in ${path}`)\n }\n if (found === -1) throw new Error(`Failed to find expected lines in ${path}:\\n${chunk.oldLines.join(\"\\n\")}`)\n replacements.push([found, oldLines.length, newLines])\n lineIndex = found + oldLines.length\n }\n return replacements.toSorted((left, right) => left[0] - right[0])\n}\n\nfunction seek(lines: ReadonlyArray<string>, pattern: ReadonlyArray<string>, start: number, eof = false) {\n if (pattern.length === 0) return -1\n if (eof) {\n const offset = lines.length - pattern.length\n if (offset < start) return -1\n for (const compare of [exact, rstrip, trim, normalized]) {\n if (matches(lines, pattern, offset, compare)) return offset\n }\n return -1\n }\n for (const compare of [exact, rstrip, trim, normalized]) {\n for (let offset = start; offset <= lines.length - pattern.length; offset++) {\n if (matches(lines, pattern, offset, compare)) return offset\n }\n }\n return -1\n}\n\nfunction matches(\n lines: ReadonlyArray<string>,\n pattern: ReadonlyArray<string>,\n offset: number,\n compare: (left: string, right: string) => boolean,\n) {\n return pattern.every((line, index) => compare(lines[offset + index]!, line))\n}\n\nconst exact = (left: string, right: string) => left === right\nconst rstrip = (left: string, right: string) => left.trimEnd() === right.trimEnd()\nconst trim = (left: string, right: string) => left.trim() === right.trim()\nconst normalized = (left: string, right: string) => normalize(left.trim()) === normalize(right.trim())\nconst normalize = (value: string) =>\n value\n .replace(/[‘’‚‛]/g, \"'\")\n .replace(/[“”„‟]/g, '\"')\n .replace(/[‐‑‒–—―−]/g, \"-\")\n .replace(/[\\u00A0\\u2002-\\u200A\\u202F\\u205F\\u3000]/g, \" \")\nconst stripHeredoc = (input: string) => input.match(/^(?:cat\\s+)?<<(['\"]?)(\\w+)\\1\\s*\\n([\\s\\S]*?)\\n\\2\\s*$/)?.[3] ?? input\n" | ||
| ], | ||
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| ||
| "debugId": "48E6260C4A1AFA0D64756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/xai-images.ts", "../ai/src/providers/xai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared, optionalNull } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\n\nconst ADAPTER = \"xai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.x.ai/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type XAIImageString<Known extends string> = Known | (string & {})\n\nexport type XAIImageOptions = {\n readonly n?: number\n readonly aspectRatio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly aspect_ratio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly resolution?: XAIImageString<\"1k\" | \"2k\">\n readonly responseFormat?: XAIImageString<\"url\" | \"b64_json\">\n readonly response_format?: XAIImageString<\"url\" | \"b64_json\">\n} & Record<string, unknown>\n\ntype XAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst XAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: optionalNull(Schema.String),\n url: optionalNull(Schema.String),\n revised_prompt: optionalNull(Schema.String),\n mime_type: optionalNull(Schema.String),\n }),\n ),\n usage: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: XAIImageOptions | undefined) => {\n if (!options) return undefined\n const { aspectRatio, responseFormat, ...native } = options\n return {\n aspect_ratio: aspectRatio,\n response_format: responseFormat,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<XAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"XAIImages.generate\")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {\n const http = mergeHttpOptions(request.model.http, request.http)\n const imageReferences = (request.images ?? []).map((image) => {\n if (image.type === \"bytes\") return { url: ImageInputs.dataUrl(image), type: \"image_url\" as const }\n if (image.type === \"url\") return { url: image.url, type: \"image_url\" as const }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (imageReferences.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"xAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n image: imageReferences.length === 1 ? imageReferences[0] : undefined,\n images: imageReferences.length > 1 ? imageReferences : undefined,\n },\n nativeOptions(request.options),\n http?.body,\n ) as XAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const url = applyQuery(\n `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${imageReferences.length === 0 ? PATH : EDIT_PATH}`,\n http?.query,\n )\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the xAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"xAI Images returned an invalid response\")),\n )\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n const mediaType = item.mime_type ?? \"application/octet-stream\"\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType,\n data,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"xAI Images returned no images\")\n const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined\n return new ImageResponse({\n images,\n usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),\n providerMetadata: usage === undefined ? undefined : { xai: { usage } },\n })\n }),\n }\n return ImageModel.make<XAIImageOptions>({ id: input.id, provider: \"xai\", route, http: input.http })\n}\n\nexport const XAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpOptions, ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { XAIImages } from \"../protocols/xai-images.js\"\nimport type { OpenAIOptionsInput } from \"./openai-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = OpenAIOptionsInput\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n}\n\nexport type { XAIImageOptions } from \"../protocols/xai-images.js\"\n\nconst 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: OpenAIResponses.protocol,\n endpoint: Endpoint.path(\"/responses\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenAIResponses.channelTransport({\n id: \"openai-responses\",\n name: \"xAI Responses\",\n rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,\n }),\n defaults: { providerOptions: { store: false } },\n})\n\nconst chatRoute = Route.make({\n id: \"openai-compatible-chat\",\n provider: id,\n providerMetadataKey: \"xai\",\n protocol: OpenAIChat.protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenAICompatibleChat.route.transport,\n headers: ({ request }): Record<string, string> =>\n request.promptCacheKey ? { \"x-grok-conv-id\": request.promptCacheKey } : {},\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return responsesRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nconst configuredChatRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return chatRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const responsesRoute = configuredResponsesRoute(input)\n const chatRoute = configuredChatRoute(input)\n const responses = (modelID: string | ModelID) => responsesRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const chat = (modelID: string | ModelID) => chatRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const image = (modelID: string | ModelID) =>\n XAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,\n headers: input.headers,\n http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n })\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
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| "debugId": "97360C433BD324BD64756E2164756E21", | ||
| "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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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/project-id.ts", "../schema/src/identifier.ts", "../schema/src/workspace-id.ts", "../schema/src/location.ts", "../schema/src/event.ts", "../schema/src/integration-id.ts", "../schema/src/form.ts", "../schema/src/credential.ts"], | ||
| "sourcesContent": [ | ||
| "import { Schema } from \"effect\"\nimport { statics } from \"./schema.js\"\n\nexport const ProjectID = Schema.String.pipe(\n Schema.brand(\"Project.ID\"),\n statics((schema) => ({ global: schema.make(\"global\") })),\n)\nexport type ProjectID = typeof ProjectID.Type\n", | ||
| "const length = 26\nconst chars = \"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\"\nlet lastTimestamp = 0\nlet counter = 0\n\nexport function ascending() {\n return create(false)\n}\n\nexport function descending() {\n return create(true)\n}\n\nexport function create(descending: boolean, timestamp = Date.now()) {\n if (timestamp !== lastTimestamp) {\n lastTimestamp = timestamp\n counter = 0\n }\n counter++\n\n const current = BigInt(timestamp) * 0x1000n + BigInt(counter)\n const value = descending ? ~current : current\n const time = Array.from({ length: 6 }, (_, index) =>\n Number((value >> BigInt(40 - 8 * index)) & 0xffn)\n .toString(16)\n .padStart(2, \"0\"),\n ).join(\"\")\n const bytes = crypto.getRandomValues(new Uint8Array(length - 12))\n return time + Array.from(bytes, (byte) => chars[byte % 62]).join(\"\")\n}\n", | ||
| "import { Schema } from \"effect\"\nimport { ascending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\n\nexport const WorkspaceID = Schema.String.check(Schema.isStartsWith(\"wrk\")).pipe(\n Schema.brand(\"Workspace.ID\"),\n statics((schema) => {\n const create = () => schema.make(\"wrk_\" + ascending())\n return {\n ascending: (id?: string) => {\n if (!id) return create()\n if (!id.startsWith(\"wrk\")) throw new Error(`ID ${id} does not start with wrk`)\n return schema.make(id)\n },\n create,\n }\n }),\n)\nexport type WorkspaceID = typeof WorkspaceID.Type\n", | ||
| "export * as Location from \"./location.js\"\n\nimport { Schema } from \"effect\"\nimport { AbsolutePath, optional } from \"./schema.js\"\nimport { ProjectID } from \"./project-id.js\"\nimport { WorkspaceID } from \"./workspace-id.js\"\n\nexport interface Ref extends Schema.Schema.Type<typeof Ref> {}\nexport const Ref = Schema.Struct({\n directory: AbsolutePath,\n workspaceID: optional(WorkspaceID),\n}).annotate({ identifier: \"Location.Ref\" })\n\nexport class Info extends Schema.Class<Info>(\"Location.Info\")({\n directory: AbsolutePath,\n workspaceID: optional(WorkspaceID),\n project: Schema.Struct({\n id: ProjectID,\n directory: AbsolutePath,\n canonical: AbsolutePath,\n }),\n}) {}\n\nexport function response<S extends Schema.Top>(data: S) {\n return Schema.Struct({ location: Info, data })\n}\n", | ||
| "export * as Event from \"./event.js\"\n\nimport { Schema, SchemaTransformation } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ascending } from \"./identifier.js\"\nimport { Location } from \"./location.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"evt_\")).pipe(\n Schema.brand(\"Event.ID\"),\n statics((schema) => ({ create: () => schema.make(\"evt_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\n/**\n * Position in one aggregate's durable log. Values originate from the durable\n * event envelope and synced markers;\n * `after` cursors accept only values that came from those sources.\n */\nexport const Seq = Schema.Int.check(Schema.isGreaterThanOrEqualTo(0)).pipe(Schema.brand(\"Event.Seq\"))\nexport type Seq = typeof Seq.Type\n\n/** Durable schema version of one event type, from the event definition that committed it. */\nexport const Version = Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)).pipe(Schema.brand(\"Event.Version\"))\nexport type Version = typeof Version.Type\n\nconst DurableEnvelope = Schema.Struct({ aggregateID: Schema.String, seq: Seq, version: Version })\nexport type DurableEnvelope = typeof DurableEnvelope.Type\n\nexport type DurableDefinition<\n Type extends string = string,\n DataSchema extends Schema.Codec<unknown, unknown> = Schema.Codec<unknown, unknown>,\n> = Schema.Top & {\n readonly type: Type\n readonly durability: \"durable\"\n readonly durable: {\n readonly version: number\n readonly aggregate: string\n }\n readonly data: DataSchema\n}\n\nexport type EphemeralDefinition<\n Type extends string = string,\n DataSchema extends Schema.Codec<unknown, unknown> = Schema.Codec<unknown, unknown>,\n> = Schema.Top & {\n readonly type: Type\n readonly durability: \"ephemeral\"\n readonly durable?: never\n readonly data: DataSchema\n}\n\nexport type Definition<\n Type extends string = string,\n DataSchema extends Schema.Codec<unknown, unknown> = Schema.Codec<unknown, unknown>,\n> = DurableDefinition<Type, DataSchema> | EphemeralDefinition<Type, DataSchema>\n\nexport type Data<D extends Definition> = Schema.Schema.Type<D[\"data\"]>\n\ntype PayloadBase<D extends Definition> = {\n readonly id: ID\n readonly type: D[\"type\"]\n readonly created: number\n readonly data: Data<D>\n readonly location?: Location.Ref\n readonly metadata?: Record<string, unknown>\n}\n\nexport type Payload<D extends Definition = Definition> = D extends DurableDefinition\n ? PayloadBase<D> & { readonly durable: DurableEnvelope }\n : PayloadBase<D> & { readonly durable?: never }\n\ntype Input<Type extends string, Fields extends Readonly<Record<PropertyKey, Schema.Codec<unknown, unknown>>>> = {\n readonly type: Type\n readonly identifier?: string\n readonly durable?: {\n readonly version: number\n readonly aggregate: string\n }\n readonly schema: Fields\n}\n\nexport function durable<\n const Type extends string,\n const Fields extends Readonly<Record<PropertyKey, Schema.Codec<unknown, unknown>>>,\n>(input: Input<Type, Fields> & { readonly durable: NonNullable<Input<Type, Fields>[\"durable\"]> }) {\n const data = Schema.Struct(input.schema)\n const durable = Schema.Struct({\n aggregateID: DurableEnvelope.fields.aggregateID,\n seq: DurableEnvelope.fields.seq,\n version: Schema.Literal(input.durable.version).pipe(\n Schema.decodeTo(\n Schema.toType(Version),\n SchemaTransformation.transform({\n decode: () => Version.make(input.durable.version),\n encode: () => input.durable.version,\n }),\n ),\n ),\n })\n return Schema.Struct({\n id: ID,\n created: Schema.Finite,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n type: Schema.Literal(input.type),\n durable,\n location: optional(Location.Ref),\n data,\n })\n .annotate({ identifier: input.identifier ?? input.type })\n .pipe(\n statics(() => ({\n type: input.type,\n durability: \"durable\" as const,\n durable: input.durable,\n data,\n })),\n ) satisfies DurableDefinition<Type, typeof data>\n}\n\nexport function ephemeral<\n const Type extends string,\n const Fields extends Readonly<Record<PropertyKey, Schema.Codec<unknown, unknown>>>,\n>(input: Omit<Input<Type, Fields>, \"durable\">) {\n const data = Schema.Struct(input.schema)\n return Schema.Struct({\n id: ID,\n created: Schema.Finite,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n type: Schema.Literal(input.type),\n location: optional(Location.Ref),\n data,\n })\n .annotate({ identifier: input.identifier ?? input.type })\n .pipe(\n statics(() => ({\n type: input.type,\n durability: \"ephemeral\" as const,\n durable: undefined,\n data,\n })),\n ) satisfies EphemeralDefinition<Type, typeof data>\n}\n\nexport function inventory<const Definitions extends ReadonlyArray<Definition>>(...definitions: Definitions) {\n return Object.freeze(definitions)\n}\n\nexport function latest(definitions: ReadonlyArray<Definition>) {\n return readonlyMap(\n definitions.reduce((result, definition) => {\n const existing = result.get(definition.type)\n if (!existing) {\n result.set(definition.type, definition)\n return result\n }\n if (definition.durable && existing.durable && definition.durable.version !== existing.durable.version) {\n if (definition.durable.version > existing.durable.version) result.set(definition.type, definition)\n return result\n }\n if (definition !== existing) throw new Error(`Duplicate latest event definition for ${definition.type}`)\n return result\n }, new Map<string, Definition>()),\n )\n}\n\nexport function versionedType(type: string, version: number) {\n return `${type}.${version}`\n}\n\nexport function durableMap<const Definitions extends ReadonlyArray<Definition>>(definitions: Definitions) {\n return readonlyMap(\n definitions.reduce((result, definition) => {\n if (definition.durability !== \"durable\") return result\n const key = versionedType(definition.type, definition.durable.version)\n if (result.has(key)) throw new Error(`Duplicate durable event definition for ${key}`)\n result.set(key, definition)\n return result\n }, new Map<string, DurableDefinition>()),\n )\n}\n\nfunction readonlyMap<Key, Value>(map: Map<Key, Value>): ReadonlyMap<Key, Value> {\n const result: ReadonlyMap<Key, Value> = Object.freeze({\n get size() {\n return map.size\n },\n entries: () => map.entries(),\n forEach: (callback: (value: Value, key: Key, map: ReadonlyMap<Key, Value>) => void, thisArg?: unknown) =>\n map.forEach((value, key) => callback.call(thisArg, value, key, result)),\n get: (key: Key) => map.get(key),\n has: (key: Key) => map.has(key),\n keys: () => map.keys(),\n values: () => map.values(),\n [Symbol.iterator]: () => map[Symbol.iterator](),\n })\n return result\n}\n", | ||
| "import { Schema } from \"effect\"\n\nexport const IntegrationID = Schema.String.pipe(Schema.brand(\"Integration.ID\"))\nexport type IntegrationID = typeof IntegrationID.Type\n\nexport const IntegrationMethodID = Schema.String.pipe(Schema.brand(\"Integration.MethodID\"))\nexport type IntegrationMethodID = typeof IntegrationMethodID.Type\n", | ||
| "export * as Form from \"./form.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, optional, statics } from \"./schema.js\"\n\nconst IDSchema = Schema.String.check(Schema.isStartsWith(\"frm_\")).pipe(Schema.brand(\"Form.ID\"))\n\nexport const ID = IDSchema.pipe(\n statics((schema: typeof IDSchema) => ({ create: (id?: string) => schema.make(id ?? \"frm_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Metadata = Schema.Record(Schema.String, Schema.Unknown).annotate({ identifier: \"Form.Metadata\" })\nexport type Metadata = typeof Metadata.Type\n\nexport const Option = Schema.Struct({\n value: Schema.String,\n label: Schema.String,\n description: Schema.String.pipe(optional),\n}).annotate({ identifier: \"Form.Option\" })\nexport interface Option extends Schema.Schema.Type<typeof Option> {}\n\n// One visibility condition on a field. A field's `when` is a list of conditions that must all\n// hold (AND) against the current answers for the field to be active. Semantics:\n// - `value` must match the referenced field's type; against a multiselect answer, `eq` means\n// \"selection includes value\" and `neq` means \"selection does not include value\".\n// - An unanswered referenced field makes the condition false for both ops.\n// - `key` must reference a field defined earlier in the form's field list.\n// Inactive fields are neither required nor answerable.\nexport const When = Schema.Struct({\n key: Schema.String,\n op: Schema.Literals([\"eq\", \"neq\"]),\n value: Schema.Union([Schema.String, Schema.Number, Schema.Boolean]),\n}).annotate({ identifier: \"Form.When\" })\nexport interface When extends Schema.Schema.Type<typeof When> {}\n\nconst FieldBase = {\n key: Schema.String,\n title: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n required: Schema.Boolean.pipe(optional),\n when: Schema.Array(When).pipe(optional),\n}\n\nexport const StringField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"string\"),\n format: Schema.Literals([\"email\", \"uri\", \"date\", \"date-time\"]).pipe(optional),\n minLength: NonNegativeInt.pipe(optional),\n maxLength: NonNegativeInt.pipe(optional),\n pattern: Schema.String.pipe(optional),\n placeholder: Schema.String.pipe(optional),\n default: Schema.String.pipe(optional),\n options: Schema.Array(Option).pipe(optional),\n custom: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Form.StringField\" })\nexport interface StringField extends Schema.Schema.Type<typeof StringField> {}\n\nexport const NumberField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"number\"),\n minimum: Schema.Number.pipe(optional),\n maximum: Schema.Number.pipe(optional),\n default: Schema.Number.pipe(optional),\n}).annotate({ identifier: \"Form.NumberField\" })\nexport interface NumberField extends Schema.Schema.Type<typeof NumberField> {}\n\nexport const IntegerField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"integer\"),\n minimum: Schema.Number.pipe(optional),\n maximum: Schema.Number.pipe(optional),\n default: Schema.Number.pipe(optional),\n}).annotate({ identifier: \"Form.IntegerField\" })\nexport interface IntegerField extends Schema.Schema.Type<typeof IntegerField> {}\n\nexport const BooleanField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"boolean\"),\n default: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Form.BooleanField\" })\nexport interface BooleanField extends Schema.Schema.Type<typeof BooleanField> {}\n\nexport const MultiselectField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"multiselect\"),\n options: Schema.Array(Option),\n minItems: NonNegativeInt.pipe(optional),\n maxItems: NonNegativeInt.pipe(optional),\n custom: Schema.Boolean.pipe(optional),\n default: Schema.Array(Schema.String).pipe(optional),\n}).annotate({ identifier: \"Form.MultiselectField\" })\nexport interface MultiselectField extends Schema.Schema.Type<typeof MultiselectField> {}\n\nexport const ExternalField = Schema.Struct({\n key: Schema.String,\n type: Schema.Literal(\"external\"),\n url: Schema.String,\n title: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n}).annotate({ identifier: \"Form.ExternalField\" })\nexport interface ExternalField extends Schema.Schema.Type<typeof ExternalField> {}\n\nexport const Field = Schema.Union([\n StringField,\n NumberField,\n IntegerField,\n BooleanField,\n MultiselectField,\n ExternalField,\n]).pipe(Schema.toTaggedUnion(\"type\"), Schema.annotate({ identifier: \"Form.Field\" }))\nexport type Field = StringField | NumberField | IntegerField | BooleanField | MultiselectField | ExternalField\n\nexport const Fields = Schema.NonEmptyArray(Field).annotate({ identifier: \"Form.Fields\" })\nexport type Fields = typeof Fields.Type\n\nconst InfoBase = {\n id: ID,\n // This should be typed as SessionID. It is a plain string only because MCP elicitation\n // temporarily needs the `\"global\"` sentinel owner, which is not a real session. Once\n // elicitations can be attributed to real sessions, revert this to SessionID. Do not rely\n // on non-session owners anywhere else.\n sessionID: Schema.String,\n title: Schema.String,\n metadata: Metadata.pipe(optional),\n}\n\nexport const Info = Schema.Struct({\n ...InfoBase,\n fields: Fields,\n}).annotate({ identifier: \"Form.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nexport const Value = Schema.Union([Schema.String, Schema.Number, Schema.Boolean, Schema.Array(Schema.String)]).annotate(\n {\n identifier: \"Form.Value\",\n },\n)\nexport type Value = typeof Value.Type\n\nexport const Answer = Schema.Record(Schema.String, Value).annotate({ identifier: \"Form.Answer\" })\nexport type Answer = typeof Answer.Type\n\nexport const State = Schema.Union([\n Schema.Struct({ status: Schema.Literal(\"pending\") }),\n Schema.Struct({ status: Schema.Literal(\"answered\"), answer: Answer }),\n Schema.Struct({ status: Schema.Literal(\"cancelled\") }),\n])\n .pipe(Schema.toTaggedUnion(\"status\"))\n .annotate({ identifier: \"Form.State\" })\nexport type State = typeof State.Type\n\nexport const Reply = Schema.Struct({\n answer: Answer,\n}).annotate({ identifier: \"Form.Reply\" })\nexport interface Reply extends Schema.Schema.Type<typeof Reply> {}\n\nconst Created = ephemeral({ type: \"form.created\", schema: { form: Info } })\nconst Replied = ephemeral({ type: \"form.replied\", schema: { id: ID, sessionID: Schema.String, answer: Answer } })\nconst Cancelled = ephemeral({ type: \"form.cancelled\", schema: { id: ID, sessionID: Schema.String } })\n\nexport const Event = { Created, Replied, Cancelled, Definitions: inventory(Created, Replied, Cancelled) }\n", | ||
| "export * as Credential from \"./credential.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { IntegrationMethodID } from \"./integration-id.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, statics } from \"./schema.js\"\nimport { Form } from \"./form.js\"\n\nexport const ID = Schema.String.pipe(\n Schema.brand(\"Credential.ID\"),\n statics((schema) => ({ create: () => schema.make(\"cred_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport interface OAuth extends Schema.Schema.Type<typeof OAuth> {}\nexport const OAuth = Schema.Struct({\n type: Schema.Literal(\"oauth\"),\n methodID: IntegrationMethodID,\n refresh: Schema.String,\n access: Schema.String,\n expires: NonNegativeInt,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n}).annotate({ identifier: \"Credential.OAuth\" })\n\nexport interface Key extends Schema.Schema.Type<typeof Key> {}\nexport const Key = Schema.Struct({\n type: Schema.Literal(\"key\"),\n key: Schema.String,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n configuration: optional(Form.Answer),\n}).annotate({ identifier: \"Credential.Key\" })\n\nexport const Value = Schema.Union([OAuth, Key])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Credential.Value\" })\nexport type Value = Schema.Schema.Type<typeof Value>\n" | ||
| ], | ||
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| ||
| "debugId": "47D30E5591A99AD064756E2164756E21", | ||
| "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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| "debugId": "AB5B21F1B9A0CE0F64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": ["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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| { | ||
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| "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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Sorry, the diff of this file is too big to display
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/permission-saved.ts"], | ||
| "sourcesContent": [ | ||
| "export * as PermissionSaved from \"./permission-saved.js\"\n\nimport { Schema } from \"effect\"\nimport { ascending } from \"./identifier.js\"\nimport { ProjectID } from \"./project-id.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.pipe(\n Schema.brand(\"PermissionSaved.ID\"),\n statics((schema) => ({ create: () => schema.make(\"psv_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Info = Schema.Struct({\n id: ID,\n projectID: ProjectID,\n action: Schema.String,\n resource: Schema.String,\n}).annotate({ identifier: \"PermissionSaved.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n" | ||
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| { | ||
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| "sources": ["../core/src/mcp/oauth.ts"], | ||
| "sourcesContent": [ | ||
| "export * as MCPOAuth from \"./oauth.js\"\n\nimport { auth, type OAuthClientProvider } from \"@modelcontextprotocol/sdk/client/auth.js\"\nimport type { OAuthClientInformationMixed, OAuthTokens } from \"@modelcontextprotocol/sdk/shared/auth.js\"\nimport { Deferred, Effect } from \"effect\"\nimport { Credential } from \"@opencode-ai/schema/credential\"\nimport { ConfigMCP } from \"@opencode-ai/schema/config/mcp\"\nimport { OauthCallbackPage } from \"../oauth/page.js\"\nimport type { Integration } from \"../integration.js\"\n\n/** Persists the OAuth artifacts for one MCP server session: DCR client info, PKCE verifier, and tokens. */\nexport interface Store {\n readonly tokens: () => Promise<OAuthTokens | undefined>\n readonly saveTokens: (tokens: OAuthTokens) => Promise<void>\n readonly clientInformation: () => Promise<OAuthClientInformationMixed | undefined>\n readonly saveClientInformation: (info: OAuthClientInformationMixed) => Promise<void>\n readonly codeVerifier: () => Promise<string | undefined>\n readonly saveCodeVerifier: (verifier: string) => Promise<void>\n}\n\nexport interface Options {\n /** Loopback URL the authorization server redirects back to after the user approves. */\n readonly redirectUrl: string\n /** Space-delimited OAuth scopes to request when the server requires specific ones. */\n readonly scope?: string\n /** CSRF state embedded in the authorization request; required by the spec and enforced by some servers.\n * The caller is responsible for validating the value echoed back to the redirect. */\n readonly state?: string\n /** Statically pre-registered client credentials from config; when set, the SDK skips dynamic registration. */\n readonly client?: { readonly id: string; readonly secret?: string }\n /** Invoked by the SDK to drop credentials it has determined are invalid (e.g. a rejected refresh token). */\n readonly invalidate?: (scope: \"all\" | \"client\" | \"tokens\" | \"verifier\" | \"discovery\") => void | Promise<void>\n /** Receives the authorization URL so the caller can open a browser and capture the eventual code. */\n readonly onRedirect: (url: URL) => void | Promise<void>\n readonly store: Store\n}\n\n/**\n * Builds the MCP SDK's OAuthClientProvider. The SDK drives dynamic client registration, PKCE, and\n * token refresh through these callbacks; we only persist whatever it hands back via `store`.\n */\nexport const provider = (options: Options): OAuthClientProvider => {\n const state = options.state\n const client = options.client\n return {\n redirectUrl: options.redirectUrl,\n clientMetadata: {\n redirect_uris: [options.redirectUrl],\n client_name: \"opencode\",\n client_uri: \"https://opencode.ai\",\n grant_types: [\"authorization_code\", \"refresh_token\"],\n response_types: [\"code\"],\n token_endpoint_auth_method: client?.secret ? \"client_secret_post\" : \"none\",\n ...(options.scope ? { scope: options.scope } : {}),\n },\n // Only advertise state when the caller supplied one (the interactive flow); the connect-time\n // provider has no redirect to validate, so it omits it.\n ...(state !== undefined ? { state: () => state } : {}),\n // Static client config short-circuits dynamic registration; otherwise the SDK registers and we persist.\n clientInformation: () =>\n client ? { client_id: client.id, client_secret: client.secret } : options.store.clientInformation(),\n saveClientInformation: (info) => options.store.saveClientInformation(info),\n tokens: () => options.store.tokens(),\n saveTokens: (tokens) => options.store.saveTokens(tokens),\n redirectToAuthorization: (url) => options.onRedirect(url),\n ...(options.invalidate ? { invalidateCredentials: options.invalidate } : {}),\n saveCodeVerifier: (verifier) => options.store.saveCodeVerifier(verifier),\n // The SDK only reads the verifier back after saving one earlier in the same flow; a miss means\n // the flow was resumed without its session state, which the SDK surfaces as an auth failure.\n codeVerifier: async () => {\n const verifier = await options.store.codeVerifier()\n if (!verifier) throw new Error(\"Missing PKCE code verifier for MCP OAuth flow\")\n return verifier\n },\n }\n}\n\n/** A Store that keeps OAuth artifacts in memory for the duration of one interactive login attempt. */\nexport const memoryStore = (): Store => {\n let tokens: OAuthTokens | undefined\n let client: OAuthClientInformationMixed | undefined\n let verifier: string | undefined\n return {\n tokens: async () => tokens,\n saveTokens: async (value) => {\n tokens = value\n },\n clientInformation: async () => client,\n saveClientInformation: async (value) => {\n client = value\n },\n codeVerifier: async () => verifier,\n saveCodeVerifier: async (value) => {\n verifier = value\n },\n }\n}\n\n/** Reads the dynamically-registered client info we stash in a credential's metadata, for token refresh. */\nexport const clientFromCredential = (credential: Credential.OAuth) =>\n credential.metadata?.client as OAuthClientInformationMixed | undefined\n\n/** Folds SDK tokens (plus DCR client info and the server URL) into a storable credential. */\nexport const toCredential = (input: {\n readonly methodID: Integration.MethodID\n readonly serverUrl: string\n readonly tokens: OAuthTokens\n readonly client: OAuthClientInformationMixed | undefined\n}) =>\n Credential.OAuth.make({\n type: \"oauth\",\n methodID: input.methodID,\n access: input.tokens.access_token,\n refresh: input.tokens.refresh_token ?? \"\",\n // 0 marks an unknown/non-expiring token; toTokens then omits expires_in so the SDK won't force a refresh.\n expires: input.tokens.expires_in ? Date.now() + input.tokens.expires_in * 1000 : 0,\n metadata: {\n serverUrl: input.serverUrl,\n tokenType: input.tokens.token_type,\n ...(input.tokens.scope ? { scope: input.tokens.scope } : {}),\n ...(input.client ? { client: input.client } : {}),\n },\n })\n\n/** Reconstructs SDK tokens from a stored credential so the connect-time provider can present them. */\nexport const toTokens = (credential: Credential.OAuth): OAuthTokens => {\n const metadata = credential.metadata ?? {}\n return {\n access_token: credential.access,\n token_type: typeof metadata.tokenType === \"string\" ? metadata.tokenType : \"Bearer\",\n ...(credential.refresh ? { refresh_token: credential.refresh } : {}),\n ...(credential.expires ? { expires_in: Math.max(0, Math.floor((credential.expires - Date.now()) / 1000)) } : {}),\n ...(typeof metadata.scope === \"string\" ? { scope: metadata.scope } : {}),\n }\n}\n\n/**\n * Runs the interactive OAuth login for one remote MCP server. Stands up a loopback callback server,\n * lets the SDK drive DCR + PKCE to produce an authorization URL, and returns an attempt whose callback\n * exchanges the redirect code for a storable credential. Scoped: the callback server closes with the scope.\n */\nexport const authorize = (input: {\n readonly name: string\n readonly config: typeof ConfigMCP.Remote.Type\n readonly methodID: Integration.MethodID\n}) =>\n Effect.gen(function* () {\n const oauth = input.config.oauth || undefined\n const store = memoryStore()\n const code = yield* Deferred.make<string, Error>()\n const redirect = oauth?.redirect_uri ? new URL(oauth.redirect_uri) : undefined\n const redirectPath = redirect?.pathname ?? \"/callback\"\n const state = Buffer.from(crypto.getRandomValues(new Uint8Array(32))).toString(\"base64url\")\n\n // Lazy so runtimes without a loopback listener (workerd) never evaluate node:http.\n const { createServer } = yield* Effect.promise(() => import(\"node:http\"))\n const server = createServer((request, response) => {\n const url = new URL(request.url ?? \"/\", \"http://127.0.0.1\")\n if (url.pathname !== redirectPath) {\n response.writeHead(404).end(\"Not found\")\n return\n }\n const fail = (reason: string) => {\n Effect.runFork(Deferred.fail(code, new Error(reason)))\n response\n .writeHead(400, { \"Content-Type\": \"text/html\" })\n .end(OauthCallbackPage.error(reason, { provider: input.name }))\n }\n const error = url.searchParams.get(\"error_description\") ?? url.searchParams.get(\"error\")\n if (error) return fail(error)\n // Reject a redirect whose state does not match what we issued: this is the CSRF defense the\n // state parameter exists for, so an attacker can't inject their own authorization code.\n if (url.searchParams.get(\"state\") !== state) return fail(\"OAuth state mismatch\")\n const value = url.searchParams.get(\"code\")\n if (!value) return fail(\"Missing authorization code\")\n Effect.runFork(Deferred.succeed(code, value))\n response.writeHead(200, { \"Content-Type\": \"text/html\" }).end(OauthCallbackPage.success({ provider: input.name }))\n })\n\n // Bind the port the redirect will actually arrive on: an explicit callback_port wins, else the port\n // pinned by redirect_uri, else an ephemeral port. Binding ephemerally while redirect_uri names a fixed\n // port would send the browser somewhere nothing is listening, hanging the attempt until it expires.\n const redirectPort = Number(redirect?.port) || undefined\n const port = yield* Effect.callback<number, Error>((resume) => {\n server.once(\"error\", (error) => resume(Effect.fail(error)))\n server.listen(oauth?.callback_port ?? redirectPort ?? 0, \"127.0.0.1\", () => {\n const address = server.address()\n resume(\n address && typeof address === \"object\"\n ? Effect.succeed(address.port)\n : Effect.fail(new Error(\"Could not determine MCP OAuth callback port\")),\n )\n })\n })\n yield* Effect.addFinalizer(() => Effect.sync(() => server.close()))\n\n let authorizationUrl: URL | undefined\n const oauthProvider = provider({\n redirectUrl: oauth?.redirect_uri ?? `http://127.0.0.1:${port}${redirectPath}`,\n scope: oauth?.scope,\n state,\n client: oauth?.client_id ? { id: oauth.client_id, secret: oauth.client_secret } : undefined,\n onRedirect: (url) => {\n authorizationUrl = url\n },\n store,\n })\n\n const finalize = Effect.gen(function* () {\n const tokens = yield* Effect.promise(() => store.tokens())\n if (!tokens) return yield* Effect.fail(new Error(`MCP server \"${input.name}\" did not return OAuth tokens`))\n const client = yield* Effect.promise(() => store.clientInformation())\n return toCredential({ methodID: input.methodID, serverUrl: input.config.url, tokens, client })\n })\n\n const result = yield* Effect.tryPromise({\n try: () => auth(oauthProvider, { serverUrl: input.config.url, scope: oauth?.scope }),\n catch: (error) => (error instanceof Error ? error : new Error(String(error))),\n })\n\n // The provider may already hold valid tokens (e.g. a re-auth), in which case there is no browser step.\n if (result === \"AUTHORIZED\") {\n return {\n url: input.config.url,\n instructions: `Connected to ${input.name}.`,\n mode: \"auto\" as const,\n callback: finalize,\n }\n }\n if (!authorizationUrl)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" did not provide an authorization URL`))\n\n return {\n url: authorizationUrl.toString(),\n instructions: `Authorize ${input.name} in your browser. This window will close automatically.`,\n mode: \"auto\" as const,\n callback: Deferred.await(code).pipe(\n Effect.flatMap((value) =>\n Effect.tryPromise({\n try: () =>\n auth(oauthProvider, { serverUrl: input.config.url, authorizationCode: value, scope: oauth?.scope }),\n catch: (error) => (error instanceof Error ? error : new Error(String(error))),\n }),\n ),\n Effect.flatMap(() => finalize),\n ),\n }\n })\n" | ||
| ], | ||
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| "debugId": "6A7DD787BF88BD7C64756E2164756E21", | ||
| "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": "5FF7CB31E58F590D64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/runtime.queue.ts"], | ||
| "sourcesContent": [ | ||
| "// Serial prompt queue for direct interactive mode.\n//\n// Prompts arrive from the footer (user types and hits enter) and local\n// operations drain one at a time. Ordinary prompts submitted during an active\n// ordinary turn are admitted immediately to the server's durable queue.\n//\n// The queue also handles local session commands, empty-prompt rejection,\n// and tracks per-turn wall-clock duration for the footer status line.\n//\n// Resolves when the footer closes and all in-flight work finishes.\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { Locale } from \"../util/locale\"\nimport { isCompactCommand, isExitCommand, isNewCommand } from \"./prompt.shared\"\nimport type { FooterApi, FooterEvent, RunDelivery, RunPrompt } from \"./types\"\n\ntype Trace = {\n write(type: string, data?: unknown): void\n}\n\nexport type QueueInput = {\n footer: FooterApi\n initialInput?: string\n trace?: Trace\n onSend?: (prompt: RunPrompt, delivery: RunDelivery) => void\n onAdmissionError?: (prompt: RunPrompt, error: unknown) => void | Promise<void>\n onNewSession?: () => void | Promise<void>\n onCompact?: () => void | Promise<void>\n admit: (prompt: RunPrompt, delivery: RunDelivery, signal: AbortSignal) => Promise<void>\n settle: () => Promise<void>\n run: (prompt: RunPrompt, signal: AbortSignal, admitted: () => void) => Promise<void>\n}\n\ntype State = {\n queue: RunPrompt[]\n active?: RunPrompt\n admission?: Promise<void>\n ctrl?: AbortController\n closed: boolean\n}\n\n// Runs the prompt queue until the footer closes.\n//\n// Subscribes to footer prompt events and drains operations through input.run().\n// Ordinary prompts submitted during an ordinary active turn are admitted as\n// durable queued work instead of remaining editable process-local state.\nexport async function runPromptQueue(input: QueueInput): Promise<void> {\n const stop = Promise.withResolvers<{ type: \"closed\" }>()\n const done = Promise.withResolvers<void>()\n const state: State = {\n queue: [],\n closed: input.footer.isClosed,\n }\n let draining: Promise<void> | undefined\n let admissions = Promise.resolve()\n let admissionVersion = 0\n const admissionController = new AbortController()\n\n const emit = (next: FooterEvent, row: Record<string, unknown>) => {\n input.trace?.write(\"ui.patch\", row)\n input.footer.event(next)\n }\n\n const finish = () => {\n if (!state.closed || draining) {\n return\n }\n\n done.resolve()\n }\n\n const close = () => {\n if (state.closed) {\n return\n }\n\n state.closed = true\n state.queue.length = 0\n // Ordinary turn signals map to session.interrupt; exiting should only detach the TUI.\n if (state.active?.mode === \"shell\") state.ctrl?.abort()\n admissionController.abort()\n stop.resolve({ type: \"closed\" })\n finish()\n }\n\n const drain = () => {\n if (draining || state.closed || state.queue.length === 0) {\n return\n }\n\n draining = (async () => {\n try {\n while (!state.closed && state.queue.length > 0) {\n const prompt = state.queue.shift()!\n\n if (prompt.mode !== \"shell\" && isNewCommand(prompt.text)) {\n if (!input.onNewSession) {\n emit(\n {\n type: \"stream.patch\",\n patch: {\n status: \"new sessions unavailable\",\n },\n },\n {\n status: \"new sessions unavailable\",\n },\n )\n continue\n }\n\n emit(\n {\n type: \"stream.patch\",\n patch: {\n phase: \"running\",\n status: \"starting new session\",\n },\n },\n {\n phase: \"running\",\n status: \"starting new session\",\n },\n )\n await input.onNewSession()\n continue\n }\n\n if (prompt.mode !== \"shell\" && isCompactCommand(prompt.text)) {\n emit(\n {\n type: \"stream.patch\",\n patch: {\n phase: \"running\",\n status: \"compacting session\",\n },\n },\n {\n phase: \"running\",\n status: \"compacting session\",\n },\n )\n await input.onCompact?.()\n continue\n }\n\n const sent =\n prompt.mode === \"shell\"\n ? prompt\n : {\n ...prompt,\n messageID: prompt.messageID ?? SessionMessage.ID.create(),\n }\n state.active = sent\n\n emit(\n { type: \"turn.send\" },\n {\n phase: \"running\",\n status: \"sending prompt\",\n },\n )\n const start = Date.now()\n const ctrl = new AbortController()\n const admission = Promise.withResolvers<void>()\n const version = admissionVersion\n state.ctrl = ctrl\n state.admission = admission.promise\n\n try {\n await input.footer.idle()\n if (state.closed) {\n break\n }\n\n if (sent.mode !== \"shell\") {\n const commit = {\n kind: \"user\",\n text: sent.text,\n phase: \"start\",\n source: \"system\",\n messageID: sent.messageID,\n } as const\n input.trace?.write(\"ui.commit\", commit)\n input.footer.append(commit)\n }\n input.onSend?.(sent, sent.delivery ?? \"steer\")\n\n if (state.closed) {\n break\n }\n\n const task = input.run(sent, ctrl.signal, admission.resolve).then(\n () => ({ type: \"done\" as const }),\n (error) => ({ type: \"error\" as const, error }),\n )\n\n const next = await Promise.race([task, stop.promise])\n if (next.type === \"closed\") {\n break\n }\n\n if (next.type === \"error\") {\n throw next.error\n }\n if (sent.mode !== \"shell\" && admissionVersion !== version) {\n do {\n const current = admissionVersion\n await admissions\n if (state.closed) break\n await input.settle()\n if (current === admissionVersion) break\n } while (!state.closed)\n }\n } finally {\n admission.resolve()\n if (state.ctrl === ctrl) {\n state.ctrl = undefined\n }\n if (state.admission === admission.promise) state.admission = undefined\n\n if (sent.mode !== \"shell\") {\n const duration = Locale.duration(Math.max(0, Date.now() - start))\n emit(\n {\n type: \"turn.duration\",\n duration,\n },\n {\n duration,\n },\n )\n }\n state.active = undefined\n }\n }\n } catch (error) {\n done.reject(error)\n return\n } finally {\n draining = undefined\n emit(\n { type: \"turn.idle\" },\n {\n phase: \"idle\",\n status: \"\",\n },\n )\n }\n\n finish()\n })()\n }\n\n const submit = (prompt: RunPrompt) => {\n if (!prompt.text.trim() || state.closed) {\n return\n }\n\n if (prompt.mode !== \"shell\" && isExitCommand(prompt.text)) {\n input.footer.close()\n return\n }\n\n const active = state.active\n if (\n active &&\n active.mode !== \"shell\" &&\n prompt.mode !== \"shell\" &&\n prompt.command?.source !== \"skill\" &&\n !isNewCommand(prompt.text) &&\n !isCompactCommand(prompt.text) &&\n !state.queue.some((item) => item.mode !== \"shell\" && (isNewCommand(item.text) || isCompactCommand(item.text)))\n ) {\n const sent = { ...prompt, messageID: SessionMessage.ID.create() }\n const admission = state.admission\n admissionVersion += 1\n const delivery = prompt.delivery ?? \"queue\"\n input.onSend?.(sent, delivery)\n admissions = admissions\n .then(() => admission)\n .then(() => input.admit(sent, delivery, admissionController.signal))\n .catch((error) => (state.closed ? undefined : input.onAdmissionError?.(sent, error)))\n return\n }\n\n state.queue.push(prompt)\n if (prompt.mode !== \"shell\" && (isNewCommand(prompt.text) || isCompactCommand(prompt.text))) {\n drain()\n return\n }\n\n emit(\n {\n type: \"first\",\n first: false,\n },\n {\n first: false,\n },\n )\n drain()\n }\n\n const offPrompt = input.footer.onPrompt((prompt) => {\n submit(prompt)\n })\n const offClose = input.footer.onClose(() => {\n close()\n })\n try {\n if (state.closed) {\n return\n }\n\n submit({\n text: input.initialInput ?? \"\",\n parts: [],\n })\n finish()\n await done.promise\n } finally {\n offPrompt()\n offClose()\n close()\n await draining?.catch(() => {})\n await admissions\n }\n}\n" | ||
| ], | ||
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| "debugId": "E6BA4DADE617CE8664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/lifecycle.ts", "../ai/src/protocols/utils/gemini-tool-schema.ts", "../ai/src/protocols/utils/tool-schema.ts"], | ||
| "sourcesContent": [ | ||
| "import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from \"../../schema/index.js\"\n\nexport interface State {\n readonly stepStarted: boolean\n readonly text: ReadonlySet<string>\n readonly reasoning: ReadonlySet<string>\n}\n\nexport const initial = (): State => ({ stepStarted: false, text: new Set(), reasoning: new Set() })\n\nexport const stepStart = (state: State, events: LLMEvent[]): State => {\n if (state.stepStarted) return state\n events.push(LLMEvent.stepStart({ index: 0 }))\n return { ...state, stepStarted: true }\n}\n\nexport const textStart = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textStart({ id, providerMetadata }))\n return { ...stepped, text: new Set([...stepped.text, id]) }\n}\n\nexport const textDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {\n const started = textStart(state, events, id)\n events.push(LLMEvent.textDelta({ id, text }))\n return started\n}\n\nexport const reasoningStart = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningStart({ id, providerMetadata }))\n return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }\n}\n\nexport const reasoningDelta = (\n state: State,\n events: LLMEvent[],\n id: string,\n text: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n const started = reasoningStart(state, events, id, providerMetadata)\n events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))\n return started\n}\n\nexport const reasoningEnd = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (!state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningEnd({ id, providerMetadata }))\n const reasoning = new Set(stepped.reasoning)\n reasoning.delete(id)\n return { ...stepped, reasoning }\n}\n\nexport const textEnd = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (!state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textEnd({ id, providerMetadata }))\n const text = new Set(stepped.text)\n text.delete(id)\n return { ...stepped, text }\n}\n\nconst closeOpenBlocks = (state: State, events: LLMEvent[]): State => {\n for (const id of state.reasoning) events.push(LLMEvent.reasoningEnd({ id }))\n for (const id of state.text) events.push(LLMEvent.textEnd({ id }))\n return { ...state, text: new Set(), reasoning: new Set() }\n}\n\nexport const finish = (\n state: State,\n events: LLMEvent[],\n input: {\n readonly reason: FinishReasonDetails\n readonly usage?: Usage\n readonly providerMetadata?: ProviderMetadata\n },\n): State => {\n const stepped = closeOpenBlocks(stepStart(state, events), events)\n events.push(\n LLMEvent.stepFinish({\n index: 0,\n reason: input.reason,\n usage: input.usage,\n providerMetadata: input.providerMetadata,\n }),\n LLMEvent.finish(input),\n )\n return { ...stepped, stepStarted: false }\n}\n\nexport * as Lifecycle from \"./lifecycle.js\"\n", | ||
| "import { isRecord } from \"../../utils/record.js\"\n\n// Gemini accepts a JSON Schema-like dialect for tool parameters, but rejects a\n// handful of common JSON Schema shapes. Keep this projection isolated so the\n// Gemini protocol file still reads like the other protocol modules.\nconst SCHEMA_INTENT_KEYS = [\n \"type\",\n \"properties\",\n \"items\",\n \"prefixItems\",\n \"enum\",\n \"const\",\n \"$ref\",\n \"additionalProperties\",\n \"patternProperties\",\n \"required\",\n \"not\",\n \"if\",\n \"then\",\n \"else\",\n]\n\nconst hasCombiner = (schema: unknown) =>\n isRecord(schema) && (Array.isArray(schema.anyOf) || Array.isArray(schema.oneOf) || Array.isArray(schema.allOf))\n\nconst hasSchemaIntent = (schema: unknown) =>\n isRecord(schema) && (hasCombiner(schema) || SCHEMA_INTENT_KEYS.some((key) => key in schema))\n\nconst sanitizeNode = (schema: unknown): unknown => {\n if (!isRecord(schema)) return Array.isArray(schema) ? schema.map(sanitizeNode) : schema\n\n const result: Record<string, unknown> = Object.fromEntries(\n Object.entries(schema).map(([key, value]) => [\n key,\n key === \"enum\" && Array.isArray(value) ? value.map(String) : sanitizeNode(value),\n ]),\n )\n\n if (Array.isArray(result.enum) && (result.type === \"integer\" || result.type === \"number\")) result.type = \"string\"\n\n const properties = result.properties\n if (result.type === \"object\" && isRecord(properties) && Array.isArray(result.required)) {\n result.required = result.required.filter((field) => typeof field === \"string\" && field in properties)\n }\n\n if (result.type === \"array\" && !hasCombiner(result)) {\n result.items = result.items ?? {}\n if (isRecord(result.items) && !hasSchemaIntent(result.items)) result.items = { ...result.items, type: \"string\" }\n }\n\n if (typeof result.type === \"string\" && result.type !== \"object\" && !hasCombiner(result)) {\n delete result.properties\n delete result.required\n }\n\n return result\n}\n\nconst emptyObjectSchema = (schema: Record<string, unknown>) =>\n schema.type === \"object\" &&\n (!isRecord(schema.properties) || Object.keys(schema.properties).length === 0) &&\n !schema.additionalProperties\n\nconst projectNode = (schema: unknown, nested = false): Record<string, unknown> | undefined => {\n if (!isRecord(schema)) return undefined\n if (!nested && emptyObjectSchema(schema)) return undefined\n const types = Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\") : undefined\n const anyOf = Array.isArray(schema.anyOf) ? schema.anyOf : undefined\n const hasNullAnyOf = anyOf?.some((item) => isRecord(item) && item.type === \"null\") ?? false\n const anyOfTypes = hasNullAnyOf ? anyOf?.filter((item) => !isRecord(item) || item.type !== \"null\") : anyOf\n const flattenedAnyOf = hasNullAnyOf && anyOfTypes?.length === 1 ? projectNode(anyOfTypes[0], true) : undefined\n const result = Object.fromEntries(\n [\n [\"description\", schema.description],\n [\"required\", schema.required],\n [\"format\", schema.format],\n [\"type\", types ? (types.length === 0 ? \"null\" : undefined) : schema.type],\n [\n \"nullable\",\n (Array.isArray(schema.type) && schema.type.includes(\"null\") && types && types.length > 0) || hasNullAnyOf\n ? true\n : undefined,\n ],\n [\"enum\", schema.const !== undefined ? [schema.const] : schema.enum],\n [\n \"properties\",\n isRecord(schema.properties)\n ? Object.fromEntries(Object.entries(schema.properties).map(([key, value]) => [key, projectNode(value, true)]))\n : undefined,\n ],\n [\n \"items\",\n Array.isArray(schema.items)\n ? schema.items.map((item) => projectNode(item, true))\n : schema.items === undefined\n ? undefined\n : projectNode(schema.items, true),\n ],\n [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map((item) => projectNode(item, true)) : undefined],\n [\n \"anyOf\",\n anyOfTypes\n ? hasNullAnyOf && anyOfTypes.length === 1\n ? undefined\n : anyOfTypes.map((item) => projectNode(item, true))\n : types && types.length > 0\n ? types.map((type) => ({ type }))\n : undefined,\n ],\n [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map((item) => projectNode(item, true)) : undefined],\n [\"minLength\", schema.minLength],\n ].filter((entry) => entry[1] !== undefined),\n )\n return flattenedAnyOf ? { ...result, ...flattenedAnyOf } : result\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema.js\"\n", | ||
| "import type { JsonSchema, LanguageModelToolSchemaCompatibility } from \"../../schema/index.js\"\nimport { isRecord } from \"../../utils/record.js\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema.js\"\n\nconst removeNullSchemas = (value: unknown): unknown => {\n if (Array.isArray(value)) return value.map(removeNullSchemas)\n if (!isRecord(value)) return value\n const fields = Object.fromEntries(\n Object.entries(value)\n .filter(([key]) => key !== \"anyOf\")\n .map(([key, field]) => [key, removeNullSchemas(field)]),\n )\n if (!Array.isArray(value.anyOf)) return fields\n const variants = value.anyOf.filter((variant) => !isRecord(variant) || variant.type !== \"null\").map(removeNullSchemas)\n if (variants.length === 1 && isRecord(variants[0])) return { ...fields, ...variants[0] }\n return { ...fields, anyOf: variants }\n}\n\nconst tupleItemsSchema = (items: ReadonlyArray<unknown>) => {\n const projected = items.map(moonshotNode)\n if (projected.length === 0) return {}\n if (projected.length === 1) return projected[0]\n return { anyOf: projected }\n}\n\nconst moonshotNode = (schema: unknown): unknown => {\n if (Array.isArray(schema)) return schema.map(moonshotNode)\n if (!isRecord(schema)) return schema\n if (typeof schema.$ref === \"string\") return { $ref: schema.$ref }\n return Object.fromEntries(\n Object.entries(schema).flatMap(([key, value]) => {\n if (key === \"items\" && Array.isArray(value)) return [[key, tupleItemsSchema(value)]]\n if (key === \"prefixItems\") {\n if (\"items\" in schema) return []\n return [[\"items\", tupleItemsSchema(Array.isArray(value) ? value : [])]]\n }\n if (key === \"unevaluatedItems\") return []\n return [[key, moonshotNode(value)]]\n }),\n )\n}\n\nconst moonshot = (schema: JsonSchema): JsonSchema => {\n const projected = moonshotNode(schema)\n return isRecord(projected) ? projected : {}\n}\n\nconst openAI = (schema: JsonSchema): JsonSchema => {\n const variants = Array.isArray(schema.anyOf) ? schema.anyOf.filter(isRecord) : []\n const flattened =\n variants.length === 0\n ? { ...schema, type: \"object\" }\n : {\n ...Object.fromEntries(Object.entries(schema).filter(([key]) => key !== \"anyOf\")),\n type: \"object\",\n properties: variants.reduce(\n (properties, variant) => ({ ...(isRecord(variant.properties) ? variant.properties : {}), ...properties }),\n {},\n ),\n additionalProperties: false,\n }\n const normalized = removeNullSchemas(flattened)\n return isRecord(normalized) ? normalized : { type: \"object\" }\n}\n\nconst responses = openAI\n\nconst gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n schema: JsonSchema,\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n): JsonSchema => {\n if (compatibility === undefined) return schema\n switch (compatibility) {\n case \"gemini\":\n return gemini(schema)\n case \"moonshot\":\n return moonshot(schema)\n }\n}\n\nexport const ToolSchemaProjection = {\n gemini,\n modelCompatibility,\n moonshot,\n openAI,\n responses,\n} as const\n" | ||
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| "debugId": "423A2D528F6CFF1D64756E2164756E21", | ||
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| { | ||
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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": ["src/commands/handlers/api.ts"], | ||
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| "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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| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/workspace.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Workspace from \"./workspace.js\"\n\nimport { WorkspaceEvent } from \"./workspace-event.js\"\nimport { WorkspaceID } from \"./workspace-id.js\"\n\nexport const ID = WorkspaceID\nexport type ID = WorkspaceID\n\nexport const Event = WorkspaceEvent\n" | ||
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| "names": [] | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/project.ts", "../schema/src/skill.ts", "../schema/src/prompt.ts", "../schema/src/shell.ts", "../schema/src/session-error.ts", "../schema/src/session-id.ts", "../schema/src/permission.ts", "../schema/src/agent.ts", "../schema/src/snapshot.ts", "../schema/src/token-usage.ts", "../schema/src/session-message.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Project from \"./project.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { AbsolutePath, NonNegativeInt, optional } from \"./schema.js\"\nimport { ProjectID } from \"./project-id.js\"\n\nexport const ID = ProjectID\nexport type ID = typeof ID.Type\n\nexport const Vcs = Schema.Literals([\"git\", \"hg\"]).annotate({ identifier: \"Project.Vcs\" })\nexport const Current = Schema.Struct({\n id: ID,\n directory: AbsolutePath,\n canonical: AbsolutePath,\n}).annotate({ identifier: \"Project.Current\" })\nexport interface Current extends Schema.Schema.Type<typeof Current> {}\nexport const Icon = Schema.Struct({\n url: optional(Schema.String),\n override: optional(Schema.String),\n color: optional(Schema.String),\n}).annotate({ identifier: \"Project.Icon\" })\nexport interface Icon extends Schema.Schema.Type<typeof Icon> {}\nexport const Commands = Schema.Struct({\n start: optional(\n Schema.String.annotate({ description: \"Startup script to run when creating a new workspace (worktree)\" }),\n ),\n}).annotate({ identifier: \"Project.Commands\" })\nexport interface Commands extends Schema.Schema.Type<typeof Commands> {}\nexport const Time = Schema.Struct({\n created: NonNegativeInt,\n updated: NonNegativeInt,\n initialized: optional(NonNegativeInt),\n}).annotate({ identifier: \"Project.Time\" })\nexport interface Time extends Schema.Schema.Type<typeof Time> {}\n\nexport const Info = Schema.Struct({\n id: ID,\n canonical: AbsolutePath,\n vcs: optional(Vcs),\n name: optional(Schema.String),\n icon: optional(Icon),\n commands: optional(Commands),\n time: Time,\n sandboxes: Schema.Array(Schema.String),\n}).annotate({ identifier: \"Project\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nconst Updated = ephemeral({ type: \"project.updated\", schema: Info.fields })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n", | ||
| "export * as Skill from \"./skill.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { AbsolutePath } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Skill.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Skill.Name\"))\nexport type Name = typeof Name.Type\n\nexport interface DirectorySource extends Schema.Schema.Type<typeof DirectorySource> {}\nexport const DirectorySource = Schema.Struct({\n type: Schema.tag(\"directory\"),\n path: AbsolutePath,\n}).annotate({ identifier: \"Skill.DirectorySource\" })\n\nexport interface UrlSource extends Schema.Schema.Type<typeof UrlSource> {}\nexport const UrlSource = Schema.Struct({\n type: Schema.tag(\"url\"),\n url: Schema.String,\n}).annotate({ identifier: \"Skill.UrlSource\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n name: Name,\n description: Schema.String.pipe(optional),\n slash: Schema.Boolean.pipe(optional),\n autoinvoke: Schema.Boolean.pipe(optional),\n location: AbsolutePath,\n content: Schema.String,\n}).annotate({ identifier: \"Skill.Info\" })\n\nconst Updated = ephemeral({ type: \"skill.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface EmbeddedSource extends Schema.Schema.Type<typeof EmbeddedSource> {}\nexport const EmbeddedSource = Schema.Struct({\n type: Schema.tag(\"embedded\"),\n skill: Schema.suspend(() => Info),\n}).annotate({ identifier: \"Skill.EmbeddedSource\" })\n\nexport type Source = DirectorySource | UrlSource | EmbeddedSource\nexport const Source = Object.assign(\n Schema.Union([DirectorySource, UrlSource, EmbeddedSource]).pipe(\n Schema.toTaggedUnion(\"type\"),\n Schema.annotate({ identifier: \"Skill.Source\" }),\n ),\n {\n equals: (a: Source, b: Source) => {\n if (a.type !== b.type) return false\n if (a.type === \"directory\" && b.type === \"directory\") return a.path === b.path\n if (a.type === \"url\" && b.type === \"url\") return a.url === b.url\n if (a.type === \"embedded\" && b.type === \"embedded\") return a.skill.id === b.skill.id\n return false\n },\n key: (source: Source) =>\n source.type === \"directory\"\n ? `directory:${source.path}`\n : source.type === \"url\"\n ? `url:${source.url}`\n : `embedded:${source.skill.id}`,\n },\n)\n", | ||
| "import { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { statics } from \"./schema.js\"\nimport { Skill } from \"./skill.js\"\n\nexport interface PromptMention extends Schema.Schema.Type<typeof PromptMention> {}\nexport const PromptMention = Schema.Struct({\n start: Schema.Finite,\n end: Schema.Finite,\n text: Schema.String,\n}).annotate({ identifier: \"Prompt.Mention\" })\n\nexport const FileSource = Schema.Union([\n Schema.Struct({ type: Schema.Literal(\"inline\") }),\n Schema.Struct({ type: Schema.Literal(\"uri\"), uri: Schema.String }),\n])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Prompt.FileSource\" })\nexport type FileSource = typeof FileSource.Type\n\nexport const Base64 = Schema.String.check(\n Schema.isPattern(/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/),\n).annotate({ identifier: \"Prompt.Base64\" })\nexport type Base64 = typeof Base64.Type\n\nexport interface FileAttachment extends Schema.Schema.Type<typeof FileAttachment> {}\nexport const FileAttachment = Schema.Struct({\n data: Base64,\n mime: Schema.String,\n source: FileSource,\n name: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n mention: PromptMention.pipe(optional),\n})\n .annotate({ identifier: \"Prompt.FileAttachment\" })\n .pipe(\n statics((schema) => ({\n create: (input: FileAttachment) =>\n schema.make({\n data: input.data,\n mime: input.mime,\n source: input.source,\n name: input.name,\n description: input.description,\n mention: input.mention,\n }),\n })),\n )\n\nexport interface AgentAttachment extends Schema.Schema.Type<typeof AgentAttachment> {}\nexport const AgentAttachment = Schema.Struct({\n name: Schema.String,\n mention: PromptMention.pipe(optional),\n}).annotate({ identifier: \"Prompt.AgentAttachment\" })\n\nexport interface SkillAttachment extends Schema.Schema.Type<typeof SkillAttachment> {}\nexport const SkillAttachment = Schema.Struct({\n id: Skill.ID,\n name: Skill.Name,\n mention: PromptMention.pipe(optional),\n}).annotate({ identifier: \"Prompt.SkillAttachment\" })\n\nexport interface Prompt extends Schema.Schema.Type<typeof Prompt> {}\nexport const Prompt = Schema.Struct({\n text: Schema.String,\n files: Schema.Array(FileAttachment).pipe(optional),\n agents: Schema.Array(AgentAttachment).pipe(optional),\n skills: Schema.Array(SkillAttachment).pipe(optional),\n})\n .annotate({ identifier: \"Prompt\" })\n .pipe(\n statics((schema) => ({\n equivalence: Schema.toEquivalence(schema),\n fromUserMessage: (input: Pick<Prompt, \"text\" | \"files\" | \"agents\" | \"skills\">) =>\n schema.make({\n text: input.text,\n ...(input.files === undefined ? {} : { files: input.files }),\n ...(input.agents === undefined ? {} : { agents: input.agents }),\n ...(input.skills === undefined ? {} : { skills: input.skills }),\n }),\n })),\n )\n", | ||
| "export * as Shell from \"./shell.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, statics } from \"./schema.js\"\n\nconst IDSchema = Schema.String.check(Schema.isStartsWith(\"sh_\")).pipe(Schema.brand(\"Shell.ID\"))\n\nexport const ID = IDSchema.pipe(\n statics((schema: typeof IDSchema) => {\n const create = () => schema.make(\"sh_\" + ascending())\n return {\n create,\n ascending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n }\n }),\n)\nexport type ID = typeof ID.Type\n\nexport const Status = Schema.Literals([\"running\", \"exited\", \"timeout\", \"killed\"])\nexport type Status = typeof Status.Type\n\nexport const Time = Schema.Struct({\n started: Schema.Finite,\n completed: optional(Schema.Finite),\n})\nexport interface Time extends Schema.Schema.Type<typeof Time> {}\n\n// Opaque caller-supplied tags echoed back on Info and events. The Shell service never interprets\n// these; callers (e.g. ShellTool stores the originating session ID) use them to filter or correlate.\nexport const Metadata = Schema.Record(Schema.String, Schema.Unknown)\nexport type Metadata = typeof Metadata.Type\n\nexport const Info = Schema.Struct({\n id: ID,\n status: Status,\n command: Schema.String,\n cwd: Schema.String,\n shell: Schema.String,\n // Absolute path of the file capturing combined stdout/stderr. Page through it via `output`.\n file: Schema.String,\n pid: optional(NonNegativeInt),\n exit: optional(Schema.Finite),\n // Always present; defaults to an empty object when the creator supplies no metadata.\n metadata: Metadata,\n time: Time,\n}).annotate({ identifier: \"Shell.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nconst Created = ephemeral({ type: \"shell.created\", schema: { info: Info } })\nconst Exited = ephemeral({ type: \"shell.exited\", schema: { id: ID, exit: optional(Schema.Finite), status: Status } })\nconst Deleted = ephemeral({ type: \"shell.deleted\", schema: { id: ID } })\nexport const Event = { Created, Exited, Deleted, Definitions: inventory(Created, Exited, Deleted) }\n\nexport const CreateInput = Schema.Struct({\n command: Schema.String,\n cwd: optional(Schema.String),\n timeout: NonNegativeInt,\n metadata: optional(Metadata),\n})\nexport interface CreateInput extends Schema.Schema.Type<typeof CreateInput> {}\n\nexport const OutputInput = Schema.Struct({\n cursor: optional(NonNegativeInt),\n limit: optional(NonNegativeInt),\n})\nexport interface OutputInput extends Schema.Schema.Type<typeof OutputInput> {}\n\nexport const Output = Schema.Struct({\n output: Schema.String,\n // Absolute cursor after this page. Equals `size` once fully caught up.\n cursor: NonNegativeInt,\n // Total bytes captured so far. A consumer has more to page while `cursor < size`.\n size: NonNegativeInt,\n truncated: Schema.Boolean,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n", | ||
| "export * as SessionError from \"./session-error.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\n\nexport interface Error extends Schema.Schema.Type<typeof Error> {}\nexport const Error = Schema.Struct({\n type: Schema.String,\n message: Schema.String,\n status: Schema.Int.check(Schema.isBetween({ minimum: 100, maximum: 599 })).pipe(optional),\n}).annotate({ identifier: \"Session.StructuredError\" })\n", | ||
| "import { Schema } from \"effect\"\nimport { descending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\n\nexport const SessionID = Schema.String.check(Schema.isStartsWith(\"ses\")).pipe(\n Schema.brand(\"SessionID\"),\n statics((schema) => {\n const create = () => schema.make(\"ses_\" + descending())\n return {\n create,\n descending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n }\n }),\n)\nexport type SessionID = typeof SessionID.Type\n", | ||
| "export * as Permission from \"./permission.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"per\")).pipe(\n Schema.brand(\"Permission.ID\"),\n statics((schema) => ({ create: (id?: string) => schema.make(id ?? \"per_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Source = Schema.Union([\n Schema.Struct({\n type: Schema.Literal(\"tool\"),\n messageID: Schema.String,\n id: Schema.String,\n }),\n]).annotate({ identifier: \"Permission.Source\" })\nexport type Source = typeof Source.Type\n\nconst RequestFields = {\n sessionID: SessionID,\n action: Schema.String,\n resources: Schema.Array(Schema.String),\n save: Schema.Array(Schema.String).pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n source: Source.pipe(optional),\n}\n\nexport const Request = Schema.Struct({\n id: ID,\n ...RequestFields,\n}).annotate({ identifier: \"Permission.Request\" })\nexport interface Request extends Schema.Schema.Type<typeof Request> {}\n\nexport const Reply = Schema.Literals([\"once\", \"always\", \"reject\"]).annotate({ identifier: \"Permission.Reply\" })\nexport type Reply = typeof Reply.Type\n\nconst Asked = ephemeral({ type: \"permission.asked\", schema: Request.fields })\nconst Replied = ephemeral({\n type: \"permission.replied\",\n schema: {\n sessionID: SessionID,\n requestID: ID,\n reply: Reply,\n },\n})\nexport const Event = { Asked, Replied, Definitions: inventory(Asked, Replied) }\n\nexport const Effect = Schema.Literals([\"allow\", \"deny\", \"ask\"]).annotate({ identifier: \"Permission.Effect\" })\nexport type Effect = typeof Effect.Type\n\nexport interface Rule extends Schema.Schema.Type<typeof Rule> {}\nexport const Rule = Schema.Struct({\n action: Schema.String,\n resource: Schema.String,\n effect: Effect,\n}).annotate({ identifier: \"Permission.Rule\" })\n\nexport const Ruleset = Schema.Array(Rule).annotate({ identifier: \"Permission.Ruleset\" })\nexport type Ruleset = typeof Ruleset.Type\n", | ||
| "export * as Agent from \"./agent.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Permission } from \"./permission.js\"\nimport { Provider } from \"./provider.js\"\nimport { PositiveInt, statics } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"agent.updated\", schema: {} })\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Agent.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Agent.Name\"))\nexport type Name = typeof Name.Type\n\nexport const Color = Schema.String.annotate({ identifier: \"Agent.Color\" })\nexport type Color = typeof Color.Type\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n name: Name,\n model: Model.Ref.pipe(optional),\n request: Provider.Request,\n system: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n mode: Schema.Literals([\"subagent\", \"primary\", \"all\"]),\n hidden: Schema.Boolean,\n color: Color.pipe(optional),\n steps: PositiveInt.pipe(optional),\n permissions: Permission.Ruleset,\n})\n .annotate({ identifier: \"Agent.Info\" })\n .pipe(\n statics(() => ({\n default: (id: ID) =>\n ({\n id,\n name: Name.make(id),\n request: { settings: {}, headers: {}, body: {} },\n mode: \"primary\",\n hidden: false,\n permissions: [\n { action: \"*\", resource: \"*\", effect: \"allow\" },\n { action: \"external_directory\", resource: \"*\", effect: \"ask\" },\n { action: \"read\", resource: \"*.env\", effect: \"ask\" },\n { action: \"read\", resource: \"*.env.*\", effect: \"ask\" },\n { action: \"read\", resource: \"*.env.example\", effect: \"allow\" },\n ],\n }) satisfies Info,\n })),\n )\n\nexport const Event = {\n Updated,\n Definitions: inventory(Updated),\n}\n", | ||
| "export * as Snapshot from \"./snapshot.js\"\n\nimport { Schema } from \"effect\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Snapshot.ID\"))\nexport type ID = typeof ID.Type\n", | ||
| "export * as TokenUsage from \"./token-usage.js\"\n\nimport { Schema } from \"effect\"\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n input: Schema.Finite,\n output: Schema.Finite,\n reasoning: Schema.Finite,\n cache: Schema.Struct({\n read: Schema.Finite,\n write: Schema.Finite,\n }),\n}).annotate({ identifier: \"TokenUsage.Info\" })\n", | ||
| "export * as SessionMessage from \"./session-message.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { Content } from \"./tool.js\"\nimport { Location } from \"./location.js\"\nimport { Model } from \"./model.js\"\nimport { Project } from \"./project.js\"\nimport { Prompt } from \"./prompt.js\"\nimport { DateTimeUtcFromMillis, PositiveInt, RelativePath, statics } from \"./schema.js\"\nimport { ascending } from \"./identifier.js\"\nimport { Event } from \"./event.js\"\nimport { Shell as ShellSchema } from \"./shell.js\"\nimport { FinishReason } from \"./llm.js\"\nimport { SessionError } from \"./session-error.js\"\nimport { Agent } from \"./agent.js\"\nimport { Skill as SkillSchema } from \"./skill.js\"\nimport { Money } from \"./money.js\"\nimport { Snapshot } from \"./snapshot.js\"\nimport { TokenUsage } from \"./token-usage.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"msg_\")).pipe(\n Schema.brand(\"Session.Message.ID\"),\n statics((schema) => ({\n create: () => schema.make(\"msg_\" + ascending()),\n fromEvent: (eventID: Event.ID) => schema.make(eventID.replace(/^evt_/, \"msg_\")),\n })),\n)\nexport type ID = typeof ID.Type\n\nconst Base = {\n id: ID,\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n time: Schema.Struct({ created: DateTimeUtcFromMillis }),\n}\n\nexport const ProviderState = Schema.Record(Schema.String, Schema.Unknown).annotate({\n identifier: \"Session.Message.ProviderState\",\n})\nexport type ProviderState = typeof ProviderState.Type\n\nexport interface AgentSelected extends Schema.Schema.Type<typeof AgentSelected> {}\nexport const AgentSelected = Schema.Struct({\n ...Base,\n type: Schema.tag(\"agent-switched\"),\n agent: Agent.ID,\n previous: Agent.ID.pipe(optional),\n}).annotate({ identifier: \"Session.Message.AgentSelected\" })\n\nexport interface ModelSelected extends Schema.Schema.Type<typeof ModelSelected> {}\nexport const ModelSelected = Schema.Struct({\n ...Base,\n type: Schema.tag(\"model-switched\"),\n model: Model.Ref,\n previous: Model.Ref.pipe(optional),\n}).annotate({ identifier: \"Session.Message.ModelSelected\" })\n\nexport interface LocationSwitched extends Schema.Schema.Type<typeof LocationSwitched> {}\nexport const LocationSwitched = Schema.Struct({\n ...Base,\n type: Schema.tag(\"location-switched\"),\n location: Location.Ref,\n projectID: Project.ID.pipe(optional),\n subpath: RelativePath.pipe(optional),\n previous: Schema.Struct({\n location: Location.Ref,\n projectID: Project.ID.pipe(optional),\n subpath: RelativePath.pipe(optional),\n }).pipe(optional),\n}).annotate({ identifier: \"Session.Message.LocationSwitched\" })\n\nexport interface User extends Schema.Schema.Type<typeof User> {}\nexport const User = Schema.Struct({\n ...Base,\n text: Prompt.fields.text,\n files: Prompt.fields.files,\n agents: Prompt.fields.agents,\n skills: Prompt.fields.skills,\n type: Schema.tag(\"user\"),\n}).annotate({ identifier: \"Session.Message.User\" })\n\nexport interface Synthetic extends Schema.Schema.Type<typeof Synthetic> {}\nexport const Synthetic = Schema.Struct({\n ...Base,\n text: Schema.String,\n description: Schema.String.pipe(optional),\n type: Schema.tag(\"synthetic\"),\n}).annotate({ identifier: \"Session.Message.Synthetic\" })\n\nexport interface System extends Schema.Schema.Type<typeof System> {}\nexport const System = Schema.Struct({\n ...Base,\n type: Schema.tag(\"system\"),\n /** The model-facing update text, frozen at emit time. */\n text: Schema.String,\n /** A short human-readable summary for transcript display. */\n description: Schema.String.pipe(optional),\n}).annotate({ identifier: \"Session.Message.System\" })\n\nexport interface Skill extends Schema.Schema.Type<typeof Skill> {}\nexport const Skill = Schema.Struct({\n ...Base,\n type: Schema.tag(\"skill\"),\n skill: SkillSchema.ID,\n name: SkillSchema.Name,\n text: Schema.String,\n}).annotate({ identifier: \"Session.Message.Skill\" })\n\nexport interface Shell extends Schema.Schema.Type<typeof Shell> {}\nexport const Shell = Schema.Struct({\n ...Base,\n type: Schema.tag(\"shell\"),\n shellID: ShellSchema.ID,\n command: Schema.String,\n status: ShellSchema.Status,\n exit: Schema.Number.pipe(optional),\n output: ShellSchema.Output.pipe(optional),\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n completed: DateTimeUtcFromMillis.pipe(optional),\n }),\n}).annotate({ identifier: \"Session.Message.Shell\" })\n\nexport interface ToolStateStreaming extends Schema.Schema.Type<typeof ToolStateStreaming> {}\nexport const ToolStateStreaming = Schema.Struct({\n status: Schema.tag(\"streaming\"),\n input: Schema.String,\n}).annotate({ identifier: \"Session.Message.ToolState.Streaming\" })\n\nexport interface ToolStateRunning extends Schema.Schema.Type<typeof ToolStateRunning> {}\nexport const ToolStateRunning = Schema.Struct({\n status: Schema.tag(\"running\"),\n input: Schema.Record(Schema.String, Schema.Unknown),\n metadata: Schema.Record(Schema.String, Schema.Json),\n}).annotate({ identifier: \"Session.Message.ToolState.Running\" })\n\nexport interface ToolStateCompleted extends Schema.Schema.Type<typeof ToolStateCompleted> {}\nexport const ToolStateCompleted = Schema.Struct({\n status: Schema.tag(\"completed\"),\n input: Schema.Record(Schema.String, Schema.Unknown),\n content: Schema.NonEmptyArray(Content),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Completed\" })\n\nexport interface ToolStateError extends Schema.Schema.Type<typeof ToolStateError> {}\nexport const ToolStateError = Schema.Struct({\n status: Schema.tag(\"error\"),\n input: Schema.Record(Schema.String, Schema.Unknown),\n error: SessionError.Error,\n content: Schema.NonEmptyArray(Content).pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Error\" })\n\nexport const ToolState = Schema.Union([ToolStateStreaming, ToolStateRunning, ToolStateCompleted, ToolStateError]).pipe(\n Schema.toTaggedUnion(\"status\"),\n)\nexport type ToolState = ToolStateStreaming | ToolStateRunning | ToolStateCompleted | ToolStateError\n\nexport interface AssistantTool extends Schema.Schema.Type<typeof AssistantTool> {}\nexport const AssistantTool = Schema.Struct({\n type: Schema.tag(\"tool\"),\n id: Schema.String,\n name: Schema.String,\n executed: Schema.Boolean.pipe(optional),\n providerState: ProviderState.pipe(optional),\n providerResultState: ProviderState.pipe(optional),\n state: ToolState,\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n ran: DateTimeUtcFromMillis.pipe(optional),\n completed: DateTimeUtcFromMillis.pipe(optional),\n }),\n}).annotate({ identifier: \"Session.Message.Assistant.Tool\" })\n\nexport interface AssistantText extends Schema.Schema.Type<typeof AssistantText> {}\nexport const AssistantText = Schema.Struct({\n type: Schema.tag(\"text\"),\n text: Schema.String,\n state: ProviderState.pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Text\" })\n\nexport interface AssistantReasoning extends Schema.Schema.Type<typeof AssistantReasoning> {}\nexport const AssistantReasoning = Schema.Struct({\n type: Schema.tag(\"reasoning\"),\n text: Schema.String,\n state: ProviderState.pipe(optional),\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n completed: DateTimeUtcFromMillis.pipe(optional),\n }).pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Reasoning\" })\n\nexport const AssistantContent = Schema.Union([AssistantText, AssistantReasoning, AssistantTool]).pipe(\n Schema.toTaggedUnion(\"type\"),\n)\nexport type AssistantContent = AssistantText | AssistantReasoning | AssistantTool\n\nexport interface AssistantRetry extends Schema.Schema.Type<typeof AssistantRetry> {}\nexport const AssistantRetry = Schema.Struct({\n attempt: PositiveInt,\n at: DateTimeUtcFromMillis,\n error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Assistant.Retry\" })\n\nexport interface Assistant extends Schema.Schema.Type<typeof Assistant> {}\nexport const Assistant = Schema.Struct({\n ...Base,\n type: Schema.tag(\"assistant\"),\n agent: Agent.ID,\n model: Model.Ref,\n content: AssistantContent.pipe(Schema.Array),\n snapshot: Schema.Struct({\n start: Snapshot.ID.pipe(optional),\n end: Snapshot.ID.pipe(optional),\n files: Schema.Array(RelativePath).pipe(optional),\n }).pipe(optional),\n finish: FinishReason.pipe(optional),\n rawFinish: Schema.String.pipe(optional),\n providerState: ProviderState.pipe(optional),\n cost: Money.USD.pipe(optional),\n tokens: TokenUsage.Info.pipe(optional),\n error: SessionError.Error.pipe(optional),\n retry: AssistantRetry.pipe(optional),\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n completed: DateTimeUtcFromMillis.pipe(optional),\n }),\n}).annotate({ identifier: \"Session.Message.Assistant\" })\n\nconst CompactionBase = { type: Schema.tag(\"compaction\"), ...Base }\n\nexport interface CompactionRunning extends Schema.Schema.Type<typeof CompactionRunning> {}\nexport const CompactionRunning = Schema.Struct({\n ...CompactionBase,\n status: Schema.tag(\"running\"),\n reason: Schema.Literals([\"auto\", \"manual\"]),\n summary: Schema.String,\n recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Running\" })\n\nexport interface CompactionCompleted extends Schema.Schema.Type<typeof CompactionCompleted> {}\nexport const CompactionCompleted = Schema.Struct({\n ...CompactionBase,\n status: Schema.tag(\"completed\"),\n reason: Schema.Literals([\"auto\", \"manual\"]),\n summary: Schema.String,\n recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Completed\" })\n\nexport interface CompactionFailed extends Schema.Schema.Type<typeof CompactionFailed> {}\nexport const CompactionFailed = Schema.Struct({\n ...CompactionBase,\n status: Schema.tag(\"failed\"),\n reason: Schema.Literals([\"auto\", \"manual\"]),\n error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Compaction.Failed\" })\n\nexport const Compaction = Schema.Union([CompactionRunning, CompactionCompleted, CompactionFailed]).pipe(\n Schema.toTaggedUnion(\"status\"),\n Schema.annotate({ identifier: \"Session.Message.Compaction\" }),\n)\nexport type Compaction = CompactionRunning | CompactionCompleted | CompactionFailed\n\nexport const Info = Schema.Union([\n AgentSelected,\n ModelSelected,\n LocationSwitched,\n User,\n Synthetic,\n System,\n Skill,\n Shell,\n Assistant,\n Compaction,\n]).annotate({ identifier: \"Session.Message.Info\" })\nexport type Info =\n | AgentSelected\n | ModelSelected\n | LocationSwitched\n | User\n | Synthetic\n | System\n | Skill\n | Shell\n | Assistant\n | Compaction\nexport type Type = Info[\"type\"]\n" | ||
| ], | ||
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| ||
| "debugId": "ECFC75BC560840D364756E2164756E21", | ||
| "names": [] | ||
| } |
+1
-1
| { | ||
| "name": "@opencode-ai/cli-linux-x64", | ||
| "version": "0.0.0-dev-17844", | ||
| "version": "0.0.0-dev-17852", | ||
| "license": "MIT", | ||
@@ -5,0 +5,0 @@ "repository": { |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/xai-images.ts", "../ai/src/providers/xai.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers, HttpClientRequest } from \"effect/unstable/http\"\nimport { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from \"../image.js\"\nimport { Auth, type Definition as AuthDefinition } from \"../route/auth.js\"\nimport {\n InvalidProviderOutputReason,\n AIError,\n Usage,\n mergeHttpOptions,\n mergeJsonRecords,\n type HttpOptions,\n} from \"../schema/index.js\"\nimport { ProviderShared, optionalNull } from \"./shared.js\"\nimport { ImageInputs } from \"./utils/image-input.js\"\n\nconst ADAPTER = \"xai-images\"\nexport const DEFAULT_BASE_URL = \"https://api.x.ai/v1\"\nexport const PATH = \"/images/generations\"\nexport const EDIT_PATH = \"/images/edits\"\n\nexport type XAIImageString<Known extends string> = Known | (string & {})\n\nexport type XAIImageOptions = {\n readonly n?: number\n readonly aspectRatio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly aspect_ratio?: XAIImageString<\n | \"1:1\"\n | \"3:4\"\n | \"4:3\"\n | \"9:16\"\n | \"16:9\"\n | \"2:3\"\n | \"3:2\"\n | \"9:19.5\"\n | \"19.5:9\"\n | \"9:20\"\n | \"20:9\"\n | \"1:2\"\n | \"2:1\"\n | \"auto\"\n >\n readonly resolution?: XAIImageString<\"1k\" | \"2k\">\n readonly responseFormat?: XAIImageString<\"url\" | \"b64_json\">\n readonly response_format?: XAIImageString<\"url\" | \"b64_json\">\n} & Record<string, unknown>\n\ntype XAIImageBody = Record<string, unknown> & {\n readonly model: string\n readonly prompt: string\n}\n\nconst XAIImageResponse = Schema.Struct({\n data: Schema.Array(\n Schema.Struct({\n b64_json: optionalNull(Schema.String),\n url: optionalNull(Schema.String),\n revised_prompt: optionalNull(Schema.String),\n mime_type: optionalNull(Schema.String),\n }),\n ),\n usage: Schema.optional(Schema.Unknown),\n})\n\nexport interface ModelInput {\n readonly id: string\n readonly auth: AuthDefinition\n readonly baseURL?: string\n readonly headers?: Record<string, string>\n readonly http?: HttpOptions\n}\n\nconst nativeOptions = (options: XAIImageOptions | undefined) => {\n if (!options) return undefined\n const { aspectRatio, responseFormat, ...native } = options\n return {\n aspect_ratio: aspectRatio,\n response_format: responseFormat,\n ...native,\n }\n}\n\nconst invalidOutput = (message: string) =>\n new AIError({\n module: ADAPTER,\n method: \"generate\",\n reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),\n })\n\nconst applyQuery = (url: string, query: Record<string, string> | undefined) => {\n if (!query) return url\n const next = new URL(url)\n Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))\n return next.toString()\n}\n\nexport const model = (input: ModelInput) => {\n const route: ImageRoute<XAIImageOptions> = {\n id: ADAPTER,\n generate: Effect.fn(\"XAIImages.generate\")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {\n const http = mergeHttpOptions(request.model.http, request.http)\n const imageReferences = (request.images ?? []).map((image) => {\n if (image.type === \"bytes\") return { url: ImageInputs.dataUrl(image), type: \"image_url\" as const }\n if (image.type === \"url\") return { url: image.url, type: \"image_url\" as const }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (imageReferences.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"xAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n image: imageReferences.length === 1 ? imageReferences[0] : undefined,\n images: imageReferences.length > 1 ? imageReferences : undefined,\n },\n nativeOptions(request.options),\n http?.body,\n ) as XAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const url = applyQuery(\n `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${imageReferences.length === 0 ? PATH : EDIT_PATH}`,\n http?.query,\n )\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the xAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"xAI Images returned an invalid response\")),\n )\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n const mediaType = item.mime_type ?? \"application/octet-stream\"\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType,\n data,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined || item.revised_prompt === null\n ? undefined\n : { xai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"xAI Images returned no images\")\n const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined\n return new ImageResponse({\n images,\n usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),\n providerMetadata: usage === undefined ? undefined : { xai: { usage } },\n })\n }),\n }\n return ImageModel.make<XAIImageOptions>({ id: input.id, provider: \"xai\", route, http: input.http })\n}\n\nexport const XAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpOptions, ProviderID, type ModelID } from \"../schema/index.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAICompatibleChat from \"../protocols/openai-compatible-chat.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { XAIImages } from \"../protocols/xai-images.js\"\nimport type { OpenAIOptionsInput } from \"./openai-options.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\n\nexport const id = ProviderID.make(\"xai\")\n\nexport type XAIProviderOptionsInput = OpenAIOptionsInput\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: XAIProviderOptionsInput\n}\n\nexport type { XAIImageOptions } from \"../protocols/xai-images.js\"\n\nconst 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: OpenAIResponses.protocol,\n endpoint: Endpoint.path(\"/responses\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenAIResponses.channelTransport({\n id: \"openai-responses\",\n name: \"xAI Responses\",\n rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,\n }),\n defaults: { providerOptions: { store: false } },\n})\n\nconst chatRoute = Route.make({\n id: \"openai-compatible-chat\",\n provider: id,\n providerMetadataKey: \"xai\",\n protocol: OpenAIChat.protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),\n transport: OpenAICompatibleChat.route.transport,\n headers: ({ request }): Record<string, string> =>\n request.promptCacheKey ? { \"x-grok-conv-id\": request.promptCacheKey } : {},\n})\n\nexport const routes = [responsesRoute, chatRoute]\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"XAI_API_KEY\")\n\nconst configuredResponsesRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return responsesRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nconst configuredChatRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return chatRoute.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },\n auth: auth(input),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const responsesRoute = configuredResponsesRoute(input)\n const chatRoute = configuredChatRoute(input)\n const responses = (modelID: string | ModelID) => responsesRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const chat = (modelID: string | ModelID) => chatRoute.model<XAIProviderOptionsInput>({ id: modelID })\n const image = (modelID: string | ModelID) =>\n XAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,\n headers: input.headers,\n http: input.http === undefined ? undefined : HttpOptions.make(input.http),\n })\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>[\"model\"] = (modelID, settings) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
| ], | ||
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| "debugId": "97360C433BD324BD64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/tool-display.ts", "../tui/src/util/path-format.ts", "../tui/src/util/filetype.ts", "../../node_modules/.bun/ansi-regex@6.2.2/node_modules/ansi-regex/index.js", "../../node_modules/.bun/strip-ansi@7.1.2/node_modules/strip-ansi/index.js"], | ||
| "sourcesContent": [ | ||
| "export function canonicalToolName(name: string) {\n if (name === \"bash\") return \"shell\"\n if (name === \"task\") return \"subagent\"\n if (name === \"apply_patch\") return \"patch\"\n return name\n}\n\nexport function finiteNumber(value: unknown): number | undefined {\n if (typeof value !== \"number\" || !Number.isFinite(value)) return\n return value\n}\n\nexport function primitiveInputSummary(input: Record<string, unknown>, omit: readonly string[] = []) {\n const entries = Object.entries(input).filter(([key, value]) => {\n if (omit.includes(key)) return false\n return typeof value === \"string\" || typeof value === \"number\" || typeof value === \"boolean\"\n })\n if (entries.length === 0) return \"\"\n return `[${entries.map(([key, value]) => `${key}=${String(value)}`).join(\", \")}]`\n}\n\nexport function webSearchProviderLabel(provider: unknown) {\n if (typeof provider !== \"string\" || !provider) return \"Web Search\"\n return `Web Search via ${provider[0].toUpperCase()}${provider.slice(1)}`\n}\n\nexport function toolDisplayMetadata(state: unknown): Record<string, unknown> {\n if (!state || typeof state !== \"object\" || Array.isArray(state)) return {}\n if (!(\"status\" in state) || state.status === \"streaming\") return {}\n if (!(\"metadata\" in state) || !state.metadata || typeof state.metadata !== \"object\") return {}\n if (Array.isArray(state.metadata)) return {}\n return state.metadata as Record<string, unknown>\n}\n\nexport function toolDisplayContent(state: SessionMessageAssistantTool[\"state\"]) {\n if (state.status === \"streaming\" || state.status === \"running\") return []\n return state.content ?? []\n}\n\nexport function nonEmptyToolContent<T>(content: ReadonlyArray<T> | undefined): [T, ...T[]] | undefined {\n if (!content) return undefined\n const [first, ...rest] = content\n return first === undefined ? undefined : [first, ...rest]\n}\nimport type { SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\n", | ||
| "import path from \"path\"\n\nexport function abbreviateHome(input: string, home: string) {\n if (!home) return input\n const paths = windowsPath(home) ? path.win32 : path.posix\n const relative = paths.relative(home, input)\n if (!relative) return \"~\"\n if (relative === \"..\" || relative.startsWith(\"..\" + paths.sep) || paths.isAbsolute(relative)) return input\n return \"~/\" + relative.split(paths.sep).join(\"/\")\n}\n\nexport function formatPath(\n input: string | undefined,\n options: { base: string; home?: string; forwardSlashes?: boolean },\n) {\n if (!input) return \"\"\n const windows = windowsPath(options.base)\n if (!windows && windowsPath(input)) {\n return options.forwardSlashes ? input.replaceAll(\"\\\\\", \"/\") : input\n }\n\n const paths = windows ? path.win32 : path.posix\n const absolute = paths.isAbsolute(input) ? input : paths.resolve(options.base, input)\n const relative = paths.relative(options.base, absolute)\n const formatted = !relative\n ? \".\"\n : relative !== \"..\" && !relative.startsWith(\"..\" + paths.sep) && !paths.isAbsolute(relative)\n ? relative\n : options.home\n ? abbreviateHome(absolute, options.home)\n : absolute\n return options.forwardSlashes ? formatted.replaceAll(\"\\\\\", \"/\") : formatted\n}\n\nfunction windowsPath(input: string) {\n return /^[A-Za-z]:[\\\\/]/.test(input) || input.startsWith(\"\\\\\\\\\")\n}\n", | ||
| "import path from \"node:path\"\n\nexport const LANGUAGE_EXTENSIONS: Record<string, string> = {\n \".abap\": \"abap\",\n \".bat\": \"bat\",\n \".bib\": \"bibtex\",\n \".bibtex\": \"bibtex\",\n \".clj\": \"clojure\",\n \".cljs\": \"clojure\",\n \".cljc\": \"clojure\",\n \".edn\": \"clojure\",\n \".coffee\": \"coffeescript\",\n \".c\": \"c\",\n \".cpp\": \"cpp\",\n \".cxx\": \"cpp\",\n \".cc\": \"cpp\",\n \".c++\": \"cpp\",\n \".cs\": \"csharp\",\n \".csx\": \"csharp\",\n \".css\": \"css\",\n \".d\": \"d\",\n \".pas\": \"pascal\",\n \".pascal\": \"pascal\",\n \".diff\": \"diff\",\n \".patch\": \"diff\",\n \".dart\": \"dart\",\n \".dockerfile\": \"dockerfile\",\n \".ex\": \"elixir\",\n \".exs\": \"elixir\",\n \".erl\": \"erlang\",\n \".ets\": \"typescript\",\n \".hrl\": \"erlang\",\n \".fs\": \"fsharp\",\n \".fsi\": \"fsharp\",\n \".fsx\": \"fsharp\",\n \".fsscript\": \"fsharp\",\n \".gitcommit\": \"git-commit\",\n \".gitrebase\": \"git-rebase\",\n \".go\": \"go\",\n \".groovy\": \"groovy\",\n \".gleam\": \"gleam\",\n \".hbs\": \"handlebars\",\n \".handlebars\": \"handlebars\",\n \".hs\": \"haskell\",\n \".lhs\": \"haskell\",\n \".html\": \"html\",\n \".htm\": \"html\",\n \".ini\": \"ini\",\n \".java\": \"java\",\n \".jl\": \"julia\",\n \".js\": \"javascript\",\n \".kt\": \"kotlin\",\n \".kts\": \"kotlin\",\n \".jsx\": \"javascriptreact\",\n \".json\": \"json\",\n \".tex\": \"latex\",\n \".latex\": \"latex\",\n \".less\": \"less\",\n \".lua\": \"lua\",\n \".makefile\": \"makefile\",\n makefile: \"makefile\",\n \".md\": \"markdown\",\n \".markdown\": \"markdown\",\n \".m\": \"objective-c\",\n \".mm\": \"objective-cpp\",\n \".pl\": \"perl\",\n \".pm\": \"perl\",\n \".pm6\": \"perl6\",\n \".php\": \"php\",\n \".ps1\": \"powershell\",\n \".psm1\": \"powershell\",\n \".pug\": \"jade\",\n \".jade\": \"jade\",\n \".py\": \"python\",\n \".r\": \"r\",\n \".cshtml\": \"razor\",\n \".razor\": \"razor\",\n \".rb\": \"ruby\",\n \".rake\": \"ruby\",\n \".gemspec\": \"ruby\",\n \".ru\": \"ruby\",\n \".erb\": \"erb\",\n \".html.erb\": \"erb\",\n \".js.erb\": \"erb\",\n \".css.erb\": \"erb\",\n \".json.erb\": \"erb\",\n \".rs\": \"rust\",\n \".scss\": \"scss\",\n \".sass\": \"sass\",\n \".scala\": \"scala\",\n \".shader\": \"shaderlab\",\n \".sh\": \"shellscript\",\n \".bash\": \"shellscript\",\n \".zsh\": \"shellscript\",\n \".ksh\": \"shellscript\",\n \".sql\": \"sql\",\n \".svelte\": \"svelte\",\n \".swift\": \"swift\",\n \".ts\": \"typescript\",\n \".tsx\": \"typescriptreact\",\n \".mts\": \"typescript\",\n \".cts\": \"typescript\",\n \".mtsx\": \"typescriptreact\",\n \".ctsx\": \"typescriptreact\",\n \".xml\": \"xml\",\n \".xsl\": \"xsl\",\n \".yaml\": \"yaml\",\n \".yml\": \"yaml\",\n \".mjs\": \"javascript\",\n \".cjs\": \"javascript\",\n \".vue\": \"vue\",\n \".zig\": \"zig\",\n \".zon\": \"zig\",\n \".astro\": \"astro\",\n \".ml\": \"ocaml\",\n \".mli\": \"ocaml\",\n \".tf\": \"terraform\",\n \".tfvars\": \"terraform-vars\",\n \".hcl\": \"hcl\",\n \".nix\": \"nix\",\n \".typ\": \"typst\",\n \".typc\": \"typst\",\n}\n\nexport function filetype(input?: string) {\n if (!input) return \"none\"\n const language = LANGUAGE_EXTENSIONS[path.extname(input)]\n if ([\"typescriptreact\", \"javascriptreact\", \"javascript\"].includes(language)) return \"typescript\"\n return language\n}\n", | ||
| "export default function ansiRegex({onlyFirst = false} = {}) {\n\t// Valid string terminator sequences are BEL, ESC\\, and 0x9c\n\tconst ST = '(?:\\\\u0007|\\\\u001B\\\\u005C|\\\\u009C)';\n\n\t// OSC sequences only: ESC ] ... ST (non-greedy until the first ST)\n\tconst osc = `(?:\\\\u001B\\\\][\\\\s\\\\S]*?${ST})`;\n\n\t// CSI and related: ESC/C1, optional intermediates, optional params (supports ; and :) then final byte\n\tconst csi = '[\\\\u001B\\\\u009B][[\\\\]()#;?]*(?:\\\\d{1,4}(?:[;:]\\\\d{0,4})*)?[\\\\dA-PR-TZcf-nq-uy=><~]';\n\n\tconst pattern = `${osc}|${csi}`;\n\n\treturn new RegExp(pattern, onlyFirst ? undefined : 'g');\n}\n", | ||
| "import ansiRegex from 'ansi-regex';\n\nconst regex = ansiRegex();\n\nexport default function stripAnsi(string) {\n\tif (typeof string !== 'string') {\n\t\tthrow new TypeError(`Expected a \\`string\\`, got \\`${typeof string}\\``);\n\t}\n\n\t// Even though the regex is global, we don't need to reset the `.lastIndex`\n\t// because unlike `.exec()` and `.test()`, `.replace()` does it automatically\n\t// and doing it manually has a performance penalty.\n\treturn string.replace(regex, '');\n}\n" | ||
| ], | ||
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| "debugId": "8DE7D9D6B9A48A6B64756E2164756E21", | ||
| "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 options = yield* ServiceConfig.options()\n const found = yield* Service.discover(options)\n const endpoint = found ?? (yield* Service.ensure(options))\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.agent.list({ location: { directory: process.cwd() } }))\n process.stdout.write(\n JSON.stringify(\n response.data.toSorted((a, b) => a.id.localeCompare(b.id)),\n null,\n 2,\n ) + EOL,\n )\n }),\n)\n" | ||
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| "debugId": "AF4F3087C51A9C9E64756E2164756E21", | ||
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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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| "debugId": "9E54B25BF669C3E664756E2164756E21", | ||
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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": "10B6B206EA0F365164756E2164756E21", | ||
| "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": "BC009BA6A707DB1264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../../node_modules/.bun/cli-spinners@3.4.0/node_modules/cli-spinners/index.js", "../../node_modules/.bun/opentui-spinner@0.0.7+98da62875aafaa11/node_modules/opentui-spinner/dist/src-DjeqLSfu.mjs", "../../node_modules/.bun/opentui-spinner@0.0.7+98da62875aafaa11/node_modules/opentui-spinner/dist/solid.mjs", "../tui/src/component/register-spinner.ts"], | ||
| "sourcesContent": [ | ||
| "import spinners from './spinners.json' with {type: 'json'};\n\nexport default spinners;\n\nconst spinnersList = Object.keys(spinners);\n\nexport function randomSpinner() {\n\tconst randomIndex = Math.floor(Math.random() * spinnersList.length);\n\tconst spinnerName = spinnersList[randomIndex];\n\treturn spinners[spinnerName];\n}\n", | ||
| "import{Renderable as e,parseColor as t,resolveRenderLib as n}from\"@opentui/core\";import r from\"cli-spinners\";const i=1e3/60,a=1e3;function o(e){if(!Number.isFinite(e)||e<i||e>a)throw RangeError(`Spinner interval must be a finite number between ${i}ms and ${a}ms`);return e}const s={now:()=>performance.now(),setInterval:(e,t)=>{let n=setInterval(e,t);return n.unref(),n},clearInterval:e=>clearInterval(e)},c=new class{active=new Map;heap=[];timer=null;timerDueAt=0;generation=0;lastWakeAt=-1/0;clock;constructor(e=s,t=16){this.denseTickThreshold=t,this.clock=e}setClock(e){if(this.active.size>0||this.timer!==null)throw Error(`Cannot replace the spinner scheduler clock while active`);this.clock=e}start(e,t,n){if(this.active.has(e))return;let r={spinner:e,interval:t,nextDueAt:this.clock.now()+t,advance:n};this.active.set(e,r),this.push(r),this.armNext()}reschedule(e,t){let n=this.active.get(e);if(!n)return;let r={spinner:e,interval:t,nextDueAt:this.clock.now()+t,advance:n.advance};this.active.set(e,r),this.push(r),this.compactIfNeeded(),this.armNext()}stop(e){this.active.delete(e)&&(this.compactIfNeeded(),this.armNext())}armNext(){this.discardStaleRoots();let e=this.heap[0];if(!e){this.cancelTimer(),this.lastWakeAt=-1/0;return}let t=this.clock.now(),n=Math.max(e.nextDueAt,this.lastWakeAt+i);if(this.timer!==null&&this.timerDueAt===n)return;this.cancelTimer();let r=this.generation,a=Math.max(n-t,0);this.timerDueAt=n,this.timer=this.clock.setInterval(()=>this.tick(r),a)}cancelTimer(){this.timer!==null&&(this.generation++,this.clock.clearInterval(this.timer),this.timer=null)}tick(e){if(e!==this.generation||this.timer===null)return;let t=this.timer;this.generation++,this.timer=null,this.clock.clearInterval(t);let n=this.clock.now();this.discardStaleRoots();let r=!1,i=0,a=[];for(;this.heap[0]&&this.heap[0].nextDueAt<=n;){let e=this.pop();if(!(!e||!this.isCurrent(e))){try{e.advance()}catch(e){a.push(e)}if(r=!0,this.isCurrent(e)&&(e.nextDueAt=n+e.interval,this.push(e),i++,i===this.denseTickThreshold)){let e=this.heap;this.heap=[];for(let t of e)if(this.isCurrent(t)){if(t.nextDueAt<=n){try{t.advance()}catch(e){a.push(e)}if(r=!0,!this.isCurrent(t))continue;t.nextDueAt=n+t.interval}this.heap.push(t)}this.heapify();break}}}if(r&&(this.lastWakeAt=n),this.compactIfNeeded(),this.armNext(),a.length===1)throw a[0];if(a.length>1)throw AggregateError(a,`Multiple spinner callbacks failed`)}isCurrent(e){return this.active.get(e.spinner)===e}discardStaleRoots(){for(;this.heap[0]&&!this.isCurrent(this.heap[0]);)this.pop()}compactIfNeeded(){this.heap.length<=this.active.size*2+16||(this.heap=Array.from(this.active.values()),this.heapify())}heapify(){for(let e=Math.floor(this.heap.length/2)-1;e>=0;e--)this.siftDown(e)}push(e){this.heap.push(e);let t=this.heap.length-1;for(;t>0;){let n=Math.floor((t-1)/2);if(this.heap[n].nextDueAt<=e.nextDueAt)break;this.heap[t]=this.heap[n],t=n}this.heap[t]=e}pop(){let e=this.heap[0],t=this.heap.pop();return!e||!t||this.heap.length===0?e:(this.heap[0]=t,this.siftDown(0),e)}siftDown(e){let t=this.heap[e],n=e;for(;;){let e=n*2+1;if(e>=this.heap.length)break;let r=e+1,i=r<this.heap.length&&this.heap[r].nextDueAt<this.heap[e].nextDueAt?r:e;if(this.heap[i].nextDueAt>=t.nextDueAt)break;this.heap[n]=this.heap[i],n=i}this.heap[n]=t}};function l(e,t=1){if(e.length===0)throw RangeError(`createPulse requires at least one color`);return n=>e[Math.floor(n*t)%e.length]}function u(e){if(e.length===0)throw RangeError(`createWave requires at least one color`);return(t,n,r,i)=>{let a=(n+t)%i;return e[Math.floor(a/i*e.length)]??e[0]}}function d(e,t){return e.length===t.length&&e.every((e,n)=>e===t[n])}var f=class extends e{_name;_frames;_interval;_autoplay;_backgroundColor;_parsedBackgroundColor;_color;_parsedColor;_currentFrameIndex=0;_encodedFrames={};_lib=n();_isRunning=!1;_advanceFrame=()=>{!this._isRunning||this.isDestroyed||(this._currentFrameIndex=(this._currentFrameIndex+1)%this._frames.length,this.requestRender())};_defaultOptions={name:`dots`,frames:r.dots.frames,interval:r.dots.interval,autoplay:!0,backgroundColor:`transparent`,color:`white`};constructor(e,n){super(e,n),this._name=n.name,this._frames=n.frames?.length?n.frames:this._name?r[this._name].frames:this._defaultOptions.frames,this._interval=o(n.interval??(this._name?r[this._name].interval:this._defaultOptions.interval)),this._autoplay=n.autoplay??this._defaultOptions.autoplay,this._backgroundColor=n.backgroundColor??this._defaultOptions.backgroundColor,this._parsedBackgroundColor=t(this._backgroundColor),this._color=n.color??this._defaultOptions.color,this._parsedColor=typeof this._color==`function`?t(this._defaultOptions.color):t(this._color),this.height=1,this._encodeFrames(),this._autoplay&&this.start()}_encodeFrames(){let e=0;for(let t of this._frames){if(this._encodedFrames[t])continue;let n=this._lib.encodeUnicode(t,this.ctx.widthMethod);n&&(this._encodedFrames[t]=n,e=Math.max(e,n.data.reduce((e,t)=>e+t.width,0)))}this.width=e}_freeFrames(){for(let e in this._encodedFrames)this._encodedFrames[e]&&this._lib.freeUnicode(this._encodedFrames[e]);this._encodedFrames={}}get interval(){return this._interval}set interval(e){this._interval=o(e),this._isRunning&&c.reschedule(this,this._interval)}get name(){return this._name}set name(e){let t=e?r[e].frames:this._defaultOptions.frames,n=o(e?r[e].interval:this._defaultOptions.interval),i=!d(this._frames,t),a=this._interval!==n;this._name=e,this._interval=n,i&&(this._freeFrames(),this._frames=t,this._currentFrameIndex=0,this._encodeFrames(),this.visible&&this.requestRender()),this._isRunning&&a&&c.reschedule(this,n)}get frames(){return this._frames}set frames(e){let t=e.length===0?this._defaultOptions.frames:e;if(d(this._frames,t)){this._frames=t;return}this._freeFrames(),this._frames=t,this._currentFrameIndex=0,this._encodeFrames(),this.visible&&this.requestRender()}get color(){return this._color}set color(e){this._color=e,typeof e!=`function`&&(this._parsedColor=t(e)),this.visible&&this.requestRender()}get backgroundColor(){return this._backgroundColor}set backgroundColor(e){this._backgroundColor=e,this._parsedBackgroundColor=t(e),this.visible&&this.requestRender()}get visible(){return super.visible}set visible(e){e!==super.visible&&(super.visible=e,this._isRunning&&(e?c.start(this,this._interval,this._advanceFrame):c.stop(this)))}get autoplay(){return this._autoplay}set autoplay(e){this._autoplay=e,e?this.start():this.stop()}start(){this._isRunning||this.isDestroyed||(this._isRunning=!0,this.visible&&c.start(this,this._interval,this._advanceFrame))}stop(){this._isRunning&&(this._isRunning=!1,c.stop(this))}renderSelf(e){if(!this.visible)return;let n=this._frames[this._currentFrameIndex];if(!n)return;let r=this._encodedFrames[n];if(!r)return;let i=this.x;for(let n=0;n<r.data.length;n++){let a=typeof this._color==`function`?t(this._color(this._currentFrameIndex,n,this._frames.length,r.data.length)):this._parsedColor;e.drawChar(r.data[n].char,i,this.y,a,this._parsedBackgroundColor),i+=r.data[n].width}}destroySelf(){this.stop(),this._freeFrames(),super.destroySelf()}};export{l as n,u as r,f as t};", | ||
| "import{t as e}from\"./src-DjeqLSfu.mjs\";import{extend as t}from\"@opentui/solid/components\";function n(){t({spinner:e})}n();export{n as registerSpinner};", | ||
| "import { getComponentCatalogue } from \"@opentui/solid/components\"\nimport { registerSpinner } from \"opentui-spinner/solid\"\n\nexport function registerOpencodeSpinner() {\n if (!getComponentCatalogue().spinner) registerSpinner()\n}\n" | ||
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| ||
| "debugId": "F5D15EF6B19F474764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "75560BA09CCF8FD764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/lifecycle.ts", "../ai/src/protocols/utils/gemini-tool-schema.ts", "../ai/src/protocols/utils/tool-schema.ts"], | ||
| "sourcesContent": [ | ||
| "import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from \"../../schema/index.js\"\n\nexport interface State {\n readonly stepStarted: boolean\n readonly text: ReadonlySet<string>\n readonly reasoning: ReadonlySet<string>\n}\n\nexport const initial = (): State => ({ stepStarted: false, text: new Set(), reasoning: new Set() })\n\nexport const stepStart = (state: State, events: LLMEvent[]): State => {\n if (state.stepStarted) return state\n events.push(LLMEvent.stepStart({ index: 0 }))\n return { ...state, stepStarted: true }\n}\n\nexport const textStart = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textStart({ id, providerMetadata }))\n return { ...stepped, text: new Set([...stepped.text, id]) }\n}\n\nexport const textDelta = (state: State, events: LLMEvent[], id: string, text: string): State => {\n const started = textStart(state, events, id)\n events.push(LLMEvent.textDelta({ id, text }))\n return started\n}\n\nexport const reasoningStart = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningStart({ id, providerMetadata }))\n return { ...stepped, reasoning: new Set([...stepped.reasoning, id]) }\n}\n\nexport const reasoningDelta = (\n state: State,\n events: LLMEvent[],\n id: string,\n text: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n const started = reasoningStart(state, events, id, providerMetadata)\n events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))\n return started\n}\n\nexport const reasoningEnd = (\n state: State,\n events: LLMEvent[],\n id: string,\n providerMetadata?: ProviderMetadata,\n): State => {\n if (!state.reasoning.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.reasoningEnd({ id, providerMetadata }))\n const reasoning = new Set(stepped.reasoning)\n reasoning.delete(id)\n return { ...stepped, reasoning }\n}\n\nexport const textEnd = (state: State, events: LLMEvent[], id: string, providerMetadata?: ProviderMetadata): State => {\n if (!state.text.has(id)) return state\n const stepped = stepStart(state, events)\n events.push(LLMEvent.textEnd({ id, providerMetadata }))\n const text = new Set(stepped.text)\n text.delete(id)\n return { ...stepped, text }\n}\n\nconst closeOpenBlocks = (state: State, events: LLMEvent[]): State => {\n for (const id of state.reasoning) events.push(LLMEvent.reasoningEnd({ id }))\n for (const id of state.text) events.push(LLMEvent.textEnd({ id }))\n return { ...state, text: new Set(), reasoning: new Set() }\n}\n\nexport const finish = (\n state: State,\n events: LLMEvent[],\n input: {\n readonly reason: FinishReasonDetails\n readonly usage?: Usage\n readonly providerMetadata?: ProviderMetadata\n },\n): State => {\n const stepped = closeOpenBlocks(stepStart(state, events), events)\n events.push(\n LLMEvent.stepFinish({\n index: 0,\n reason: input.reason,\n usage: input.usage,\n providerMetadata: input.providerMetadata,\n }),\n LLMEvent.finish(input),\n )\n return { ...stepped, stepStarted: false }\n}\n\nexport * as Lifecycle from \"./lifecycle.js\"\n", | ||
| "import { isRecord } from \"../../utils/record.js\"\n\n// Gemini accepts a JSON Schema-like dialect for tool parameters, but rejects a\n// handful of common JSON Schema shapes. Keep this projection isolated so the\n// Gemini protocol file still reads like the other protocol modules.\nconst SCHEMA_INTENT_KEYS = [\n \"type\",\n \"properties\",\n \"items\",\n \"prefixItems\",\n \"enum\",\n \"const\",\n \"$ref\",\n \"additionalProperties\",\n \"patternProperties\",\n \"required\",\n \"not\",\n \"if\",\n \"then\",\n \"else\",\n]\n\nconst hasCombiner = (schema: unknown) =>\n isRecord(schema) && (Array.isArray(schema.anyOf) || Array.isArray(schema.oneOf) || Array.isArray(schema.allOf))\n\nconst hasSchemaIntent = (schema: unknown) =>\n isRecord(schema) && (hasCombiner(schema) || SCHEMA_INTENT_KEYS.some((key) => key in schema))\n\nconst sanitizeNode = (schema: unknown): unknown => {\n if (!isRecord(schema)) return Array.isArray(schema) ? schema.map(sanitizeNode) : schema\n\n const result: Record<string, unknown> = Object.fromEntries(\n Object.entries(schema).map(([key, value]) => [\n key,\n key === \"enum\" && Array.isArray(value) ? value.map(String) : sanitizeNode(value),\n ]),\n )\n\n if (Array.isArray(result.enum) && (result.type === \"integer\" || result.type === \"number\")) result.type = \"string\"\n\n const properties = result.properties\n if (result.type === \"object\" && isRecord(properties) && Array.isArray(result.required)) {\n result.required = result.required.filter((field) => typeof field === \"string\" && field in properties)\n }\n\n if (result.type === \"array\" && !hasCombiner(result)) {\n result.items = result.items ?? {}\n if (isRecord(result.items) && !hasSchemaIntent(result.items)) result.items = { ...result.items, type: \"string\" }\n }\n\n if (typeof result.type === \"string\" && result.type !== \"object\" && !hasCombiner(result)) {\n delete result.properties\n delete result.required\n }\n\n return result\n}\n\nconst emptyObjectSchema = (schema: Record<string, unknown>) =>\n schema.type === \"object\" &&\n (!isRecord(schema.properties) || Object.keys(schema.properties).length === 0) &&\n !schema.additionalProperties\n\nconst projectNode = (schema: unknown, nested = false): Record<string, unknown> | undefined => {\n if (!isRecord(schema)) return undefined\n if (!nested && emptyObjectSchema(schema)) return undefined\n const types = Array.isArray(schema.type) ? schema.type.filter((type) => type !== \"null\") : undefined\n const anyOf = Array.isArray(schema.anyOf) ? schema.anyOf : undefined\n const hasNullAnyOf = anyOf?.some((item) => isRecord(item) && item.type === \"null\") ?? false\n const anyOfTypes = hasNullAnyOf ? anyOf?.filter((item) => !isRecord(item) || item.type !== \"null\") : anyOf\n const flattenedAnyOf = hasNullAnyOf && anyOfTypes?.length === 1 ? projectNode(anyOfTypes[0], true) : undefined\n const result = Object.fromEntries(\n [\n [\"description\", schema.description],\n [\"required\", schema.required],\n [\"format\", schema.format],\n [\"type\", types ? (types.length === 0 ? \"null\" : undefined) : schema.type],\n [\n \"nullable\",\n (Array.isArray(schema.type) && schema.type.includes(\"null\") && types && types.length > 0) || hasNullAnyOf\n ? true\n : undefined,\n ],\n [\"enum\", schema.const !== undefined ? [schema.const] : schema.enum],\n [\n \"properties\",\n isRecord(schema.properties)\n ? Object.fromEntries(Object.entries(schema.properties).map(([key, value]) => [key, projectNode(value, true)]))\n : undefined,\n ],\n [\n \"items\",\n Array.isArray(schema.items)\n ? schema.items.map((item) => projectNode(item, true))\n : schema.items === undefined\n ? undefined\n : projectNode(schema.items, true),\n ],\n [\"allOf\", Array.isArray(schema.allOf) ? schema.allOf.map((item) => projectNode(item, true)) : undefined],\n [\n \"anyOf\",\n anyOfTypes\n ? hasNullAnyOf && anyOfTypes.length === 1\n ? undefined\n : anyOfTypes.map((item) => projectNode(item, true))\n : types && types.length > 0\n ? types.map((type) => ({ type }))\n : undefined,\n ],\n [\"oneOf\", Array.isArray(schema.oneOf) ? schema.oneOf.map((item) => projectNode(item, true)) : undefined],\n [\"minLength\", schema.minLength],\n ].filter((entry) => entry[1] !== undefined),\n )\n return flattenedAnyOf ? { ...result, ...flattenedAnyOf } : result\n}\n\nexport const convert = (schema: unknown) => projectNode(sanitizeNode(schema))\n\nexport * as GeminiToolSchema from \"./gemini-tool-schema.js\"\n", | ||
| "import type { JsonSchema, LanguageModelToolSchemaCompatibility } from \"../../schema/index.js\"\nimport { isRecord } from \"../../utils/record.js\"\nimport { GeminiToolSchema } from \"./gemini-tool-schema.js\"\n\nconst removeNullSchemas = (value: unknown): unknown => {\n if (Array.isArray(value)) return value.map(removeNullSchemas)\n if (!isRecord(value)) return value\n const fields = Object.fromEntries(\n Object.entries(value)\n .filter(([key]) => key !== \"anyOf\")\n .map(([key, field]) => [key, removeNullSchemas(field)]),\n )\n if (!Array.isArray(value.anyOf)) return fields\n const variants = value.anyOf.filter((variant) => !isRecord(variant) || variant.type !== \"null\").map(removeNullSchemas)\n if (variants.length === 1 && isRecord(variants[0])) return { ...fields, ...variants[0] }\n return { ...fields, anyOf: variants }\n}\n\nconst tupleItemsSchema = (items: ReadonlyArray<unknown>) => {\n const projected = items.map(moonshotNode)\n if (projected.length === 0) return {}\n if (projected.length === 1) return projected[0]\n return { anyOf: projected }\n}\n\nconst moonshotNode = (schema: unknown): unknown => {\n if (Array.isArray(schema)) return schema.map(moonshotNode)\n if (!isRecord(schema)) return schema\n if (typeof schema.$ref === \"string\") return { $ref: schema.$ref }\n return Object.fromEntries(\n Object.entries(schema).flatMap(([key, value]) => {\n if (key === \"items\" && Array.isArray(value)) return [[key, tupleItemsSchema(value)]]\n if (key === \"prefixItems\") {\n if (\"items\" in schema) return []\n return [[\"items\", tupleItemsSchema(Array.isArray(value) ? value : [])]]\n }\n if (key === \"unevaluatedItems\") return []\n return [[key, moonshotNode(value)]]\n }),\n )\n}\n\nconst moonshot = (schema: JsonSchema): JsonSchema => {\n const projected = moonshotNode(schema)\n return isRecord(projected) ? projected : {}\n}\n\nconst openAI = (schema: JsonSchema): JsonSchema => {\n const variants = Array.isArray(schema.anyOf) ? schema.anyOf.filter(isRecord) : []\n const flattened =\n variants.length === 0\n ? { ...schema, type: \"object\" }\n : {\n ...Object.fromEntries(Object.entries(schema).filter(([key]) => key !== \"anyOf\")),\n type: \"object\",\n properties: variants.reduce(\n (properties, variant) => ({ ...(isRecord(variant.properties) ? variant.properties : {}), ...properties }),\n {},\n ),\n additionalProperties: false,\n }\n const normalized = removeNullSchemas(flattened)\n return isRecord(normalized) ? normalized : { type: \"object\" }\n}\n\nconst responses = openAI\n\nconst gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}\n\nconst modelCompatibility = (\n schema: JsonSchema,\n compatibility: LanguageModelToolSchemaCompatibility | undefined,\n): JsonSchema => {\n if (compatibility === undefined) return schema\n switch (compatibility) {\n case \"gemini\":\n return gemini(schema)\n case \"moonshot\":\n return moonshot(schema)\n }\n}\n\nexport const ToolSchemaProjection = {\n gemini,\n modelCompatibility,\n moonshot,\n openAI,\n responses,\n} as const\n" | ||
| ], | ||
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| ||
| "debugId": "423A2D528F6CFF1D64756E2164756E21", | ||
| "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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| "debugId": "AB5B21F1B9A0CE0F64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "686DA092DEA17A1264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/theme/system.ts"], | ||
| "sourcesContent": [ | ||
| "import { RGBA, type TerminalColors } from \"@opentui/core\"\nimport { ansiToRgba, tint } from \"./color\"\n\nexport function terminalMode(colors: TerminalColors): \"dark\" | \"light\" | undefined {\n const bg = colors.defaultBackground\n if (!bg) return\n const { r, g, b } = RGBA.fromHex(bg)\n return 0.299 * r + 0.587 * g + 0.114 * b > 0.5 ? \"light\" : \"dark\"\n}\n\nexport function generateSystem(colors: TerminalColors, mode: \"dark\" | \"light\") {\n const bg = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n const fg = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n const transparent = RGBA.fromValues(bg.r, bg.g, bg.b, 0)\n const isDark = mode === \"dark\"\n\n const col = (index: number) => {\n const value = colors.palette[index]\n if (value) return RGBA.fromHex(value)\n return ansiToRgba(index)\n }\n\n const grays = generateGrayScale(bg, isDark)\n const textMuted = generateMutedTextColor(bg, isDark)\n const ansiColors = {\n red: col(1),\n green: col(2),\n yellow: col(3),\n blue: col(4),\n magenta: col(5),\n cyan: col(6),\n redBright: col(9),\n greenBright: col(10),\n }\n\n const diffAlpha = isDark ? 0.22 : 0.14\n const diffAddedBg = tint(bg, ansiColors.green, diffAlpha)\n const diffRemovedBg = tint(bg, ansiColors.red, diffAlpha)\n const diffContextBg = grays[2]\n const diffAddedLineNumberBg = tint(diffContextBg, ansiColors.green, diffAlpha)\n const diffRemovedLineNumberBg = tint(diffContextBg, ansiColors.red, diffAlpha)\n\n return {\n theme: {\n primary: ansiColors.cyan,\n secondary: ansiColors.magenta,\n accent: ansiColors.cyan,\n error: ansiColors.red,\n warning: ansiColors.yellow,\n success: ansiColors.green,\n info: ansiColors.cyan,\n text: fg,\n textMuted,\n selectedListItemText: bg,\n background: transparent,\n backgroundPanel: grays[2],\n backgroundElement: grays[3],\n backgroundMenu: grays[3],\n borderSubtle: grays[6],\n border: grays[7],\n borderActive: grays[8],\n diffAdded: ansiColors.green,\n diffRemoved: ansiColors.red,\n diffContext: grays[7],\n diffHunkHeader: grays[7],\n diffHighlightAdded: ansiColors.greenBright,\n diffHighlightRemoved: ansiColors.redBright,\n diffAddedBg,\n diffRemovedBg,\n diffContextBg,\n diffLineNumber: textMuted,\n diffAddedLineNumberBg,\n diffRemovedLineNumberBg,\n markdownText: fg,\n markdownHeading: fg,\n markdownLink: ansiColors.blue,\n markdownLinkText: ansiColors.cyan,\n markdownCode: ansiColors.green,\n markdownBlockQuote: ansiColors.yellow,\n markdownEmph: ansiColors.yellow,\n markdownStrong: fg,\n markdownHorizontalRule: grays[7],\n markdownListItem: ansiColors.blue,\n markdownListEnumeration: ansiColors.cyan,\n markdownImage: ansiColors.blue,\n markdownImageText: ansiColors.cyan,\n markdownCodeBlock: fg,\n syntaxComment: textMuted,\n syntaxKeyword: ansiColors.magenta,\n syntaxFunction: ansiColors.blue,\n syntaxVariable: fg,\n syntaxString: ansiColors.green,\n syntaxNumber: ansiColors.yellow,\n syntaxType: ansiColors.cyan,\n syntaxOperator: ansiColors.cyan,\n syntaxPunctuation: fg,\n },\n }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean): Record<number, RGBA> {\n const grays: Record<number, RGBA> = {}\n const bgR = bg.r * 255\n const bgG = bg.g * 255\n const bgB = bg.b * 255\n const luminance = 0.299 * bgR + 0.587 * bgG + 0.114 * bgB\n\n for (let i = 1; i <= 12; i++) {\n const factor = i / 12\n\n if (isDark && luminance < 10) {\n const gray = Math.floor(factor * 0.4 * 255)\n grays[i] = RGBA.fromInts(gray, gray, gray)\n continue\n }\n\n if (!isDark && luminance > 245) {\n const gray = Math.floor(255 - factor * 0.4 * 255)\n grays[i] = RGBA.fromInts(gray, gray, gray)\n continue\n }\n\n const next = isDark ? luminance + (255 - luminance) * factor * 0.4 : luminance * (1 - factor * 0.4)\n const ratio = next / luminance\n grays[i] = RGBA.fromInts(\n Math.floor(Math.min(Math.max(bgR * ratio, 0), 255)),\n Math.floor(Math.min(Math.max(bgG * ratio, 0), 255)),\n Math.floor(Math.min(Math.max(bgB * ratio, 0), 255)),\n )\n }\n\n return grays\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean): RGBA {\n const luminance = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n if (isDark) {\n const gray = luminance < 10 ? 180 : Math.min(Math.floor(160 + luminance * 0.3), 200)\n return RGBA.fromInts(gray, gray, gray)\n }\n\n const gray = luminance > 245 ? 75 : Math.max(Math.floor(100 - (255 - luminance) * 0.2), 60)\n return RGBA.fromInts(gray, gray, gray)\n}\n" | ||
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| "debugId": "07121B9465A755E264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/session.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Session from \"./session.js\"\n\nimport { Schema } from \"effect\"\nimport { Agent } from \"./agent.js\"\nimport { Location } from \"./location.js\"\nimport { Model } from \"./model.js\"\nimport { Project } from \"./project.js\"\nimport { DateTimeUtcFromMillis, optional, RelativePath } from \"./schema.js\"\nimport { SessionEvent } from \"./session-event.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { Money } from \"./money.js\"\nimport { TokenUsage } from \"./token-usage.js\"\nimport { Revert } from \"./session-revert.js\"\nimport { SessionFork } from \"./session-fork.js\"\n\nexport const ID = SessionID\nexport type ID = SessionID\n\nexport const Event = SessionEvent\n\nexport { Revert }\nexport const ForkBoundary = SessionFork.Boundary\nexport type ForkBoundary = SessionFork.Boundary\nexport const ForkRequestBoundary = SessionFork.RequestBoundary\nexport type ForkRequestBoundary = SessionFork.RequestBoundary\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n parentID: ID.pipe(optional),\n fork: Schema.Struct({\n sessionID: ID,\n boundary: ForkBoundary,\n }).pipe(optional),\n projectID: Project.ID,\n agent: Agent.ID.pipe(optional),\n model: Model.Ref.pipe(optional),\n cost: Money.USD,\n tokens: TokenUsage.Info,\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n updated: DateTimeUtcFromMillis,\n archived: DateTimeUtcFromMillis.pipe(optional),\n }),\n title: Schema.String.pipe(optional),\n location: Location.Ref,\n subpath: RelativePath.pipe(optional),\n revert: Revert.pipe(optional),\n}).annotate({ identifier: \"Session.Info\" })\n\nexport const ListAnchor = Schema.Struct({\n id: ID,\n time: Schema.Finite,\n direction: Schema.Literals([\"previous\", \"next\"]),\n}).annotate({ identifier: \"Session.ListAnchor\" })\nexport interface ListAnchor extends Schema.Schema.Type<typeof ListAnchor> {}\n" | ||
| ], | ||
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| "debugId": "B9345FF1DB15836564756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/prompt.shared.ts"], | ||
| "sourcesContent": [ | ||
| "// Pure state machine for the prompt input.\n//\n// Handles history ring navigation and prompt text helpers. All functions are\n// pure -- they take state in and return new state out, with no side effects.\n//\n// The history ring (PromptHistoryState) stores past prompts and tracks\n// the current browse position. When the user arrows up at cursor offset 0,\n// the current draft is saved and history begins. Arrowing past the end\n// restores the draft.\nexport { displayCharAt, displaySlice, mentionTriggerIndex, slashTriggerIndex } from \"../prompt/display\"\nimport { stringWidth } from \"../util/string-width\"\nimport type { RunPrompt } from \"./types\"\n\nconst HISTORY_LIMIT = 200\n\nexport type PromptHistoryState = {\n items: RunPrompt[]\n index: number | null\n draft: string\n}\n\nexport type PromptMove = {\n state: PromptHistoryState\n text?: string\n cursor?: number\n apply: boolean\n}\n\nexport function promptCopy(prompt: RunPrompt): RunPrompt {\n return {\n text: prompt.text,\n parts: structuredClone(prompt.parts),\n ...(prompt.mode ? { mode: prompt.mode } : {}),\n ...(prompt.command ? { command: prompt.command } : {}),\n }\n}\n\nexport function promptSame(a: RunPrompt, b: RunPrompt): boolean {\n return (\n a.mode === b.mode &&\n a.text === b.text &&\n JSON.stringify(a.parts) === JSON.stringify(b.parts) &&\n JSON.stringify(a.command) === JSON.stringify(b.command)\n )\n}\n\nexport function isExitCommand(input: string): boolean {\n const text = input.trim().toLowerCase()\n return text === \"/exit\" || text === \"/quit\" || text === \":q\"\n}\n\nexport function isNewCommand(input: string): boolean {\n return input.trim().toLowerCase() === \"/new\"\n}\n\nexport function isCompactCommand(input: string): boolean {\n return input.trim().toLowerCase() === \"/compact\"\n}\n\nexport function createPromptHistory(items?: RunPrompt[]): PromptHistoryState {\n const list = (items ?? []).filter((item) => item.text.trim().length > 0).map(promptCopy)\n const next: RunPrompt[] = []\n for (const item of list) {\n if (next.length > 0 && promptSame(next[next.length - 1], item)) {\n continue\n }\n\n next.push(item)\n }\n\n return {\n items: next.slice(-HISTORY_LIMIT),\n index: null,\n draft: \"\",\n }\n}\n\nexport function pushPromptHistory(state: PromptHistoryState, prompt: RunPrompt): PromptHistoryState {\n if (!prompt.text.trim()) {\n return state\n }\n\n const next = promptCopy(prompt)\n if (state.items[state.items.length - 1] && promptSame(state.items[state.items.length - 1], next)) {\n return {\n ...state,\n index: null,\n draft: \"\",\n }\n }\n\n const items = [...state.items, next].slice(-HISTORY_LIMIT)\n return {\n ...state,\n items,\n index: null,\n draft: \"\",\n }\n}\n\nexport function movePromptHistory(state: PromptHistoryState, dir: -1 | 1, text: string, cursor: number): PromptMove {\n if (state.items.length === 0) {\n return { state, apply: false }\n }\n\n if (dir === -1 && cursor !== 0) {\n return { state, apply: false }\n }\n\n if (dir === 1 && cursor !== stringWidth(text)) {\n return { state, apply: false }\n }\n\n if (state.index === null) {\n if (dir === 1) {\n return { state, apply: false }\n }\n\n const idx = state.items.length - 1\n return {\n state: {\n ...state,\n index: idx,\n draft: text,\n },\n text: state.items[idx].text,\n cursor: 0,\n apply: true,\n }\n }\n\n const idx = state.index + dir\n if (idx < 0) {\n return { state, apply: false }\n }\n\n if (idx >= state.items.length) {\n return {\n state: {\n ...state,\n index: null,\n },\n text: state.draft,\n cursor: stringWidth(state.draft),\n apply: true,\n }\n }\n\n return {\n state: {\n ...state,\n index: idx,\n },\n text: state.items[idx].text,\n cursor: dir === -1 ? 0 : stringWidth(state.items[idx].text),\n apply: true,\n }\n}\n" | ||
| ], | ||
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| "debugId": "A27A9A5C2ECB7D1764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/connection.ts", "../schema/src/integration.ts", "../schema/src/money.ts", "../schema/src/provider.ts", "../schema/src/model.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Connection from \"./connection.js\"\n\nimport { Schema } from \"effect\"\nimport { Credential } from \"./credential.js\"\n\nexport interface CredentialInfo extends Schema.Schema.Type<typeof CredentialInfo> {}\nexport const CredentialInfo = Schema.Struct({\n type: Schema.Literal(\"credential\"),\n id: Credential.ID,\n label: Schema.String,\n}).annotate({ identifier: \"Connection.CredentialInfo\" })\n\nexport interface EnvInfo extends Schema.Schema.Type<typeof EnvInfo> {}\nexport const EnvInfo = Schema.Struct({\n type: Schema.Literal(\"env\"),\n name: Schema.String,\n}).annotate({ identifier: \"Connection.EnvInfo\" })\n\nexport const Info = Schema.Union([CredentialInfo, EnvInfo])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Connection.Info\" })\nexport type Info = typeof Info.Type\n", | ||
| "export * as Integration from \"./integration.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { Connection } from \"./connection.js\"\nimport { ascending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\nimport { IntegrationID, IntegrationMethodID } from \"./integration-id.js\"\nimport { Form } from \"./form.js\"\n\nexport const ID = IntegrationID\nexport type ID = typeof ID.Type\n\nexport const MethodID = IntegrationMethodID\nexport type MethodID = typeof MethodID.Type\n\nexport interface OAuthMethod extends Schema.Schema.Type<typeof OAuthMethod> {}\nexport const OAuthMethod = Schema.Struct({\n id: MethodID,\n type: Schema.Literal(\"oauth\"),\n label: Schema.String,\n form: optional(Form.Fields),\n}).annotate({ identifier: \"Integration.OAuthMethod\" })\n\nexport interface CommandMethod extends Schema.Schema.Type<typeof CommandMethod> {}\nexport const CommandMethod = Schema.Struct({\n id: MethodID,\n type: Schema.Literal(\"command\"),\n label: Schema.String,\n command: Schema.Array(Schema.String),\n}).annotate({ identifier: \"Integration.CommandMethod\" })\n\nexport interface KeyMethod extends Schema.Schema.Type<typeof KeyMethod> {}\nexport const KeyMethod = Schema.Struct({\n type: Schema.Literal(\"key\"),\n label: optional(Schema.String),\n form: optional(Form.Fields),\n}).annotate({ identifier: \"Integration.KeyMethod\" })\n\nexport interface EnvMethod extends Schema.Schema.Type<typeof EnvMethod> {}\nexport const EnvMethod = Schema.Struct({\n type: Schema.Literal(\"env\"),\n names: Schema.Array(Schema.String),\n}).annotate({ identifier: \"Integration.EnvMethod\" })\n\nexport const Method = Schema.Union([OAuthMethod, CommandMethod, KeyMethod, EnvMethod])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Integration.Method\" })\nexport type Method = typeof Method.Type\n\nconst Updated = ephemeral({\n type: \"integration.updated\",\n schema: {},\n})\nconst ConnectionUpdated = ephemeral({\n type: \"integration.connection.updated\",\n schema: { integrationID: ID },\n})\nexport const Event = { Updated, ConnectionUpdated, Definitions: inventory(Updated, ConnectionUpdated) }\n\nexport interface Ref extends Schema.Schema.Type<typeof Ref> {}\nexport const Ref = Schema.Struct({\n id: ID,\n name: Schema.String,\n}).annotate({ identifier: \"Integration.Ref\" })\n\nexport const Info = Schema.Struct({\n id: ID,\n name: Schema.String,\n methods: Schema.Array(Method),\n connections: Schema.Array(Connection.Info),\n}).annotate({ identifier: \"Integration.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nexport const AttemptID = Schema.String.pipe(\n Schema.brand(\"Integration.AttemptID\"),\n statics((schema) => ({ create: () => schema.make(\"con_\" + ascending()) })),\n)\nexport type AttemptID = typeof AttemptID.Type\n\nconst AttemptTime = Schema.Struct({\n created: Schema.Number,\n expires: Schema.Number,\n})\n\nexport class Attempt extends Schema.Class<Attempt>(\"Integration.Attempt\")({\n attemptID: AttemptID,\n url: Schema.String,\n instructions: Schema.String,\n mode: Schema.Literals([\"auto\", \"code\"]),\n time: AttemptTime,\n}) {}\n\nexport const AttemptStatus = Schema.Union([\n Schema.Struct({ status: Schema.Literal(\"pending\"), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"complete\"), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"failed\"), message: Schema.String, time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"expired\"), time: AttemptTime }),\n])\n .pipe(Schema.toTaggedUnion(\"status\"))\n .annotate({ identifier: \"Integration.AttemptStatus\" })\nexport type AttemptStatus = typeof AttemptStatus.Type\n\nexport interface CommandAttempt extends Schema.Schema.Type<typeof CommandAttempt> {}\nexport const CommandAttempt = Schema.Struct({\n attemptID: AttemptID,\n time: AttemptTime,\n}).annotate({ identifier: \"Integration.CommandAttempt\" })\n\nexport const CommandAttemptStatus = Schema.Union([\n Schema.Struct({ status: Schema.Literal(\"pending\"), message: optional(Schema.String), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"complete\"), time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"failed\"), message: Schema.String, time: AttemptTime }),\n Schema.Struct({ status: Schema.Literal(\"expired\"), time: AttemptTime }),\n])\n .pipe(Schema.toTaggedUnion(\"status\"))\n .annotate({ identifier: \"Integration.CommandAttemptStatus\" })\nexport type CommandAttemptStatus = typeof CommandAttemptStatus.Type\n", | ||
| "export * as Money from \"./money.js\"\n\nimport { Schema } from \"effect\"\nimport { statics } from \"./schema.js\"\n\nexport const USD = Schema.Finite.pipe(\n Schema.brand(\"Money.USD\"),\n Schema.annotate({ identifier: \"Money.USD\" }),\n statics((schema) => ({ zero: schema.make(0) })),\n)\nexport type USD = typeof USD.Type\n\nexport const USDPerMillionTokens = Schema.Finite.pipe(\n Schema.brand(\"Money.USDPerMillionTokens\"),\n Schema.annotate({ identifier: \"Money.USDPerMillionTokens\" }),\n statics((schema) => ({ zero: schema.make(0) })),\n)\nexport type USDPerMillionTokens = typeof USDPerMillionTokens.Type\n", | ||
| "export * as Provider from \"./provider.js\"\n\nimport { Effect, Schema } from \"effect\"\nimport { Integration } from \"./integration.js\"\nimport { optional, statics } from \"./schema.js\"\n\nexport const ID = Schema.String.pipe(\n Schema.brand(\"Provider.ID\"),\n statics((schema) => ({\n opencode: schema.make(\"opencode\"),\n anthropic: schema.make(\"anthropic\"),\n openai: schema.make(\"openai\"),\n google: schema.make(\"google\"),\n googleVertex: schema.make(\"google-vertex\"),\n githubCopilot: schema.make(\"github-copilot\"),\n amazonBedrock: schema.make(\"amazon-bedrock\"),\n azure: schema.make(\"azure\"),\n openrouter: schema.make(\"openrouter\"),\n mistral: schema.make(\"mistral\"),\n gitlab: schema.make(\"gitlab\"),\n })),\n)\nexport type ID = typeof ID.Type\n\nexport const Package = Schema.String\nexport type Package = typeof Package.Type\n\nexport const Activation = Schema.Literals([\"auto\", \"enabled\", \"disabled\"])\nexport type Activation = typeof Activation.Type\n\nexport const Overlays = {\n settings: Schema.Record(Schema.String, Schema.Any).pipe(optional),\n headers: Schema.Record(Schema.String, Schema.String).pipe(optional),\n body: Schema.Record(Schema.String, Schema.Any).pipe(optional),\n}\n\nexport const Settings = Schema.Record(Schema.String, Schema.Any).annotate({ identifier: \"Provider.Settings\" })\nexport type Settings = typeof Settings.Type\n\nexport interface Request extends Schema.Schema.Type<typeof Request> {}\nexport const Request = Schema.Struct({\n settings: Settings.pipe(Schema.withConstructorDefault(Effect.succeed({}))),\n headers: Schema.Record(Schema.String, Schema.String),\n body: Schema.Record(Schema.String, Schema.Any),\n}).annotate({ identifier: \"Provider.Request\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n integrationID: Integration.ID.pipe(optional),\n name: Schema.String,\n activation: Activation,\n package: Package,\n ...Overlays,\n})\n .annotate({ identifier: \"Provider.Info\" })\n .pipe(\n statics(() => ({\n empty: (id: ID): Info => ({ id, name: id, activation: \"auto\", package: \"\" }),\n })),\n )\n", | ||
| "export * as Model from \"./model.js\"\n\nimport { Schema } from \"effect\"\nimport { optional, statics } from \"./schema.js\"\nimport { Provider } from \"./provider.js\"\nimport { Money } from \"./money.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Model.ID\"))\nexport type ID = typeof ID.Type\n\nexport const VariantID = Schema.String.pipe(Schema.brand(\"Model.VariantID\"))\nexport type VariantID = typeof VariantID.Type\n\nexport const Ref = Schema.Struct({\n id: ID,\n providerID: Provider.ID,\n variant: VariantID.pipe(optional),\n})\n .annotate({ identifier: \"Model.Ref\" })\n .pipe(\n statics((schema) => ({\n parse: (input: string) => {\n const providerEnd = input.indexOf(\"/\")\n if (providerEnd <= 0) throw new Error(`Invalid model reference: ${input}`)\n const providerID = input.slice(0, providerEnd)\n const variantStart = input.indexOf(\"#\", providerEnd + 1)\n const id = input.slice(providerEnd + 1, variantStart === -1 ? undefined : variantStart)\n const variant = variantStart === -1 ? undefined : input.slice(variantStart + 1)\n if (!id || providerID.includes(\"#\") || (variant !== undefined && (!variant || variant.includes(\"#\"))))\n throw new Error(`Invalid model reference: ${input}`)\n return schema.make({\n providerID: Provider.ID.make(providerID),\n id: ID.make(id),\n ...(variant ? { variant: VariantID.make(variant) } : {}),\n })\n },\n })),\n )\nexport interface Ref extends Schema.Schema.Type<typeof Ref> {}\n\nexport const Family = Schema.String.pipe(Schema.brand(\"Model.Family\"))\nexport type Family = typeof Family.Type\n\nexport type ReasoningField = \"reasoning\" | \"reasoning_content\" | \"reasoning_text\" | (string & {})\nexport const ReasoningField: Schema.Codec<ReasoningField> = Schema.Union([\n Schema.Literals([\"reasoning\", \"reasoning_content\", \"reasoning_text\"]),\n Schema.String,\n]).annotate({ identifier: \"Model.ReasoningField\" })\n\nexport const MaxTokensField = Schema.Literals([\"max_completion_tokens\", \"max_tokens\"]).annotate({\n identifier: \"Model.MaxTokensField\",\n})\nexport type MaxTokensField = typeof MaxTokensField.Type\n\nexport interface Compatibility extends Schema.Schema.Type<typeof Compatibility> {}\nexport const Compatibility = Schema.Struct({\n reasoningField: ReasoningField.pipe(optional),\n maxTokensField: MaxTokensField.pipe(optional),\n requireFinishReason: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Model.Compatibility\" })\n\nexport interface Capabilities extends Schema.Schema.Type<typeof Capabilities> {}\nexport const Capabilities = Schema.Struct({\n tools: Schema.Boolean,\n input: Schema.Array(Schema.String),\n output: Schema.Array(Schema.String),\n responsesWebsockets: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Model.Capabilities\" })\n\nexport interface Cost extends Schema.Schema.Type<typeof Cost> {}\nexport const Cost = Schema.Struct({\n tier: Schema.Struct({\n type: Schema.tag(\"context\"),\n size: Schema.Int,\n }).pipe(optional),\n input: Money.USDPerMillionTokens,\n output: Money.USDPerMillionTokens,\n cache: Schema.Struct({\n read: Money.USDPerMillionTokens,\n write: Money.USDPerMillionTokens,\n }),\n}).annotate({ identifier: \"Model.Cost\" })\n\nexport interface Variant extends Schema.Schema.Type<typeof Variant> {}\nexport const Variant = Schema.Struct({\n id: VariantID,\n ...Provider.Overlays,\n}).annotate({ identifier: \"Model.Variant\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n modelID: ID,\n providerID: Provider.ID,\n family: Family.pipe(optional),\n name: Schema.String,\n compatibility: Compatibility.pipe(optional),\n package: Provider.Package.pipe(optional),\n ...Provider.Overlays,\n capabilities: Capabilities,\n variants: Schema.Array(Variant),\n time: Schema.Struct({\n released: Schema.Finite,\n }),\n cost: Schema.Array(Cost),\n status: Schema.Literals([\"alpha\", \"beta\", \"deprecated\", \"active\"]),\n enabled: Schema.Boolean,\n limit: Schema.Struct({\n context: Schema.Int,\n input: Schema.Int.pipe(optional),\n output: Schema.Int,\n }),\n})\n .annotate({ identifier: \"Model.Info\" })\n .pipe(\n statics(() => ({\n default: (providerID: Provider.ID, id: ID) =>\n ({\n id,\n modelID: id,\n providerID,\n name: id,\n capabilities: { tools: true, input: [\"text\", \"image\"], output: [\"text\"] },\n variants: [],\n time: { released: 0 },\n cost: [],\n status: \"active\",\n enabled: true,\n limit: { context: 200_000, output: 32_000 },\n }) satisfies Info,\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,${Encoding.encodeBase64(input.data)}`\n\nexport const decodeDataUrl = (\n url: string,\n module: string,\n): Effect.Effect<{ readonly mediaType: string; readonly data: Uint8Array } | undefined, AIError> => {\n if (!url.startsWith(\"data:\")) return Effect.succeed(undefined)\n const match = /^data:([^;,]+);base64,(.*)$/s.exec(url)\n if (!match) return Effect.fail(invalid(module, \"Image data URLs must contain a MIME type and base64 data\"))\n return Effect.fromResult(Encoding.decodeBase64(match[2])).pipe(\n Effect.mapError(() => invalid(module, \"Image data URL contains invalid base64 data\")),\n Effect.map((data) => ({ mediaType: match[1], data })),\n )\n}\n\nexport const invalidImageInput = invalid\n\nexport const ImageInputs = {\n dataUrl,\n decodeDataUrl,\n invalid: invalidImageInput,\n} as const\n" | ||
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| { | ||
| "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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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-compatible-responses.ts", "../ai/src/providers/google-vertex-responses.ts"], | ||
| "sourcesContent": [ | ||
| "import { Route, type RouteRoutedLanguageModelInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst ADAPTER = \"openai-compatible-responses\"\n\nexport type OpenAICompatibleResponsesLanguageModelInput = RouteRoutedLanguageModelInput\n\n/**\n * Deployment adapter for providers that expose an Open Responses-compatible\n * `/responses` endpoint. Provider helpers configure identity, endpoint, and\n * auth while the semantic protocol remains provider-neutral.\n */\nexport const route = Route.make({\n id: ADAPTER,\n providerMetadataKey: \"openresponses\",\n protocol: OpenResponses.protocol,\n endpoint: Endpoint.path(OpenResponses.PATH),\n transport: OpenResponses.httpTransport,\n})\n\nexport * as OpenAICompatibleResponses from \"./openai-compatible-responses.js\"\n", | ||
| "import type { ProviderPackage } from \"../provider-package.js\"\nimport { OpenAICompatibleResponses } from \"../protocols/openai-compatible-responses.js\"\nimport type { RouteDefaultsInput } from \"../route/client.js\"\nimport { ProviderID, type ModelID } from \"../schema/index.js\"\nimport { GoogleVertexShared } from \"./google-vertex-shared.js\"\nimport type { OpenResponsesProviderOptionsInput } from \"./open-responses-options.js\"\n\nexport const id = ProviderID.make(\"google-vertex\")\n\nexport type Config = RouteDefaultsInput &\n GoogleVertexShared.OAuthOptions & {\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenResponsesProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly accessToken?: string\n readonly apiKey?: never\n readonly baseURL?: string\n readonly location?: string\n readonly project?: string\n readonly providerOptions?: OpenResponsesProviderOptionsInput\n}\n\nconst route = OpenAICompatibleResponses.route.with({\n id: \"google-vertex-responses\",\n provider: id,\n providerOptions: { store: false },\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config) => {\n if (\"apiKey\" in input && input.apiKey !== undefined)\n throw new Error(\"Google Vertex Responses does not support API keys\")\n const {\n accessToken: _accessToken,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const location = GoogleVertexShared.location(inputLocation, \"global\")\n const project = GoogleVertexShared.project(inputProject)\n return route.with({\n ...rest,\n endpoint: {\n baseURL:\n baseURL ??\n `https://aiplatform.googleapis.com/v1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}/endpoints/openapi`,\n },\n auth: GoogleVertexShared.oauth(input, project),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => {\n if (settings.apiKey !== undefined) throw new Error(\"Google Vertex Responses does not support API keys\")\n return configure({\n accessToken: settings.accessToken,\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "D4A35BD4140D6C6C64756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/plugin/list.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode, type PluginInfo } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { Config } from \"../../../config\"\nimport { Global } from \"@opencode-ai/util/global\"\nimport { discoverTuiPlugins, tuiPluginDirectories } from \"@opencode-ai/tui/plugin/discovery\"\n\nexport default Runtime.handler(\n Commands.commands.plugin.commands.list,\n Effect.fn(\"cli.plugin.list\")(function* (input) {\n const options = yield* ServiceConfig.options()\n const found = yield* Service.discover(options)\n const endpoint = found ?? (yield* Service.ensure(options))\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))\n const config = yield* Config.Service\n const global = yield* Global.Service\n const info = yield* config.get()\n const discovered = yield* Effect.promise(() =>\n tuiPluginDirectories(process.cwd(), global.config).then(discoverTuiPlugins),\n )\n const output = format(\n response.data,\n [\n ...(info.plugins ?? []).flatMap((entry) => {\n const target = typeof entry === \"string\" ? entry : entry.package\n return target.startsWith(\"-\") ? [] : [{ target, source: \"configured\" as const }]\n }),\n ...discovered.map((target) => ({ target, source: \"discovered\" as const })),\n ],\n input.builtin,\n )\n if (!output) {\n process.stdout.write(\"No plugins found\" + EOL)\n return\n }\n process.stdout.write(output + EOL)\n }),\n)\n\nexport function format(\n plugins: readonly PluginInfo[],\n tui: ReadonlyArray<{ readonly target: string; readonly source: \"configured\" | \"discovered\" }>,\n builtin = false,\n) {\n const server = plugins\n .filter((plugin) => builtin || plugin.source.type !== \"builtin\")\n .toSorted((a, b) => name(a).localeCompare(name(b)))\n .map((plugin) => `${name(plugin)} (${plugin.status})`)\n const advertised = plugins.flatMap((plugin) =>\n plugin.status === \"active\" && plugin.tui && plugin.source.type === \"package\"\n ? [{ target: plugin.source.package, source: \"advertised\" as const }]\n : [],\n )\n const targets = [...tui, ...advertised]\n .filter((plugin, index, all) => all.findIndex((candidate) => candidate.target === plugin.target) === index)\n .toSorted((a, b) => a.target.localeCompare(b.target))\n .map((plugin) => `${plugin.target} (${plugin.source})`)\n return [\n targets.length ? [\"TUI\", ...targets].join(EOL) : undefined,\n server.length ? [\"Server\", ...server].join(EOL) : undefined,\n ]\n .filter((section) => section !== undefined)\n .join(EOL + EOL)\n}\n\nfunction name(plugin: PluginInfo) {\n if (plugin.id) return plugin.id\n if (plugin.source.type === \"package\") return plugin.source.package\n if (plugin.source.type === \"local\") return plugin.source.path\n return plugin.source.type\n}\n" | ||
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| "debugId": "1F07D74B127FF05C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/tool.ts", "../schema/src/llm.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Tool from \"./tool.js\"\n\nimport { Effect, JsonSchema, Schema } from \"effect\"\nimport type { StandardJSONSchemaV1, StandardSchemaV1 } from \"@standard-schema/spec\"\nimport type { Agent } from \"./agent.js\"\nimport type { Session } from \"./session.js\"\nimport type { SessionMessage } from \"./session-message.js\"\n\nexport type Metadata = Readonly<Record<string, any>>\n\nexport const CallID = Schema.String.pipe(Schema.brand(\"Tool.CallID\"))\nexport type CallID = typeof CallID.Type\n\nexport interface Context {\n readonly sessionID: Session.ID\n readonly agent: Agent.ID\n readonly messageID: SessionMessage.ID\n readonly id: CallID\n readonly progress: (update: Metadata) => Effect.Effect<void>\n}\n\ninterface BaseOptions {\n readonly namespace?: string\n readonly permission?: string\n}\n\nexport type Options = BaseOptions &\n (\n | {\n readonly codemode?: true\n readonly pinned?: boolean\n }\n | {\n readonly codemode: boolean\n readonly pinned?: never\n }\n )\n\nexport type ValueSchema<A = unknown> =\n | Schema.Codec<A, any>\n | (StandardSchemaV1<any, A> & StandardJSONSchemaV1<any, A>)\n | JsonSchema.JsonSchema\n\ntype InputValue<S> = 0 extends 1 & S\n ? any\n : S extends Schema.Codec<infer A, any>\n ? A\n : S extends StandardSchemaV1<any, infer A>\n ? A\n : unknown\ntype OutputValue<S> = S extends undefined\n ? never\n : S extends Schema.Codec<infer A, any>\n ? A\n : S extends StandardSchemaV1<infer A, any>\n ? A\n : any\n\nexport class Error extends Schema.TaggedError<Error>()(\"Tool.Error\", {\n message: Schema.String,\n error: Schema.optional(Schema.Defect()),\n metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),\n}) {}\n\nexport interface TextContent extends Schema.Schema.Type<typeof TextContent> {}\nexport const TextContent = Schema.Struct({\n type: Schema.Literal(\"text\"),\n text: Schema.String,\n}).annotate({ identifier: \"Tool.TextContent\" })\n\nexport interface FileContent extends Schema.Schema.Type<typeof FileContent> {}\nexport const FileContent = Schema.Struct({\n type: Schema.Literal(\"file\"),\n uri: Schema.String,\n mime: Schema.String,\n name: Schema.optional(Schema.String),\n}).annotate({ identifier: \"Tool.FileContent\" })\n\nexport const Content = Schema.Union([TextContent, FileContent])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Tool.Content\" })\nexport type Content = Schema.Schema.Type<typeof Content>\n\nexport interface Result<Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined> {\n readonly output?: OutputValue<Output>\n readonly content?: string | ReadonlyArray<Content>\n readonly metadata?: Metadata\n}\n\nexport type Info<\n Input extends ValueSchema<any> = ValueSchema<any>,\n Output extends ValueSchema<any> | undefined = ValueSchema<any> | undefined,\n> = {\n readonly name: string\n readonly input: Input\n readonly description: string\n readonly execute: (input: InputValue<Input>, context: Context) => Effect.Effect<Result<Output>, Error>\n readonly output?: Output\n readonly options?: Options\n}\n", | ||
| "export * as LLM from \"./llm.js\"\n\nimport { Schema } from \"effect\"\n\nexport const FinishReason = Schema.Literals([\"stop\", \"length\", \"tool-calls\", \"content-filter\", \"error\", \"unknown\"])\nexport type FinishReason = typeof FinishReason.Type\n" | ||
| ], | ||
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| "debugId": "AAEC3F540913DB7D64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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 ${endpoint.url} did not provide a compatible V2 health response`, { cause })\n}\n\nexport * as ServerConnection from \"./server-connection\"\n" | ||
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| "debugId": "947F8B4D6B6F937464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/models.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(\n Commands.commands.models,\n Effect.fn(\"cli.models\")(function* (input) {\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const response = yield* Effect.promise(() => client.model.list({ location: { directory: process.cwd() } }))\n const models = response.data\n .map((model) => `${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": "19FBFFC170FDBEFD64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/project-id.ts", "../schema/src/identifier.ts", "../schema/src/workspace-id.ts", "../schema/src/location.ts", "../schema/src/event.ts", "../schema/src/integration-id.ts", "../schema/src/form.ts", "../schema/src/credential.ts"], | ||
| "sourcesContent": [ | ||
| "import { Schema } from \"effect\"\nimport { statics } from \"./schema.js\"\n\nexport const ProjectID = Schema.String.pipe(\n Schema.brand(\"Project.ID\"),\n statics((schema) => ({ global: schema.make(\"global\") })),\n)\nexport type ProjectID = typeof ProjectID.Type\n", | ||
| "const length = 26\nconst chars = \"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\"\nlet lastTimestamp = 0\nlet counter = 0\n\nexport function ascending() {\n return create(false)\n}\n\nexport function descending() {\n return create(true)\n}\n\nexport function create(descending: boolean, timestamp = Date.now()) {\n if (timestamp !== lastTimestamp) {\n lastTimestamp = timestamp\n counter = 0\n }\n counter++\n\n const current = BigInt(timestamp) * 0x1000n + BigInt(counter)\n const value = descending ? ~current : current\n const time = Array.from({ length: 6 }, (_, index) =>\n Number((value >> BigInt(40 - 8 * index)) & 0xffn)\n .toString(16)\n .padStart(2, \"0\"),\n ).join(\"\")\n const bytes = crypto.getRandomValues(new Uint8Array(length - 12))\n return time + Array.from(bytes, (byte) => chars[byte % 62]).join(\"\")\n}\n", | ||
| "import { Schema } from \"effect\"\nimport { ascending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\n\nexport const WorkspaceID = Schema.String.check(Schema.isStartsWith(\"wrk\")).pipe(\n Schema.brand(\"Workspace.ID\"),\n statics((schema) => {\n const create = () => schema.make(\"wrk_\" + ascending())\n return {\n ascending: (id?: string) => {\n if (!id) return create()\n if (!id.startsWith(\"wrk\")) throw new Error(`ID ${id} does not start with wrk`)\n return schema.make(id)\n },\n create,\n }\n }),\n)\nexport type WorkspaceID = typeof WorkspaceID.Type\n", | ||
| "export * as Location from \"./location.js\"\n\nimport { Schema } from \"effect\"\nimport { AbsolutePath, optional } from \"./schema.js\"\nimport { ProjectID } from \"./project-id.js\"\nimport { WorkspaceID } from \"./workspace-id.js\"\n\nexport interface Ref extends Schema.Schema.Type<typeof Ref> {}\nexport const Ref = Schema.Struct({\n directory: AbsolutePath,\n workspaceID: optional(WorkspaceID),\n}).annotate({ identifier: \"Location.Ref\" })\n\nexport class Info extends Schema.Class<Info>(\"Location.Info\")({\n directory: AbsolutePath,\n workspaceID: optional(WorkspaceID),\n project: Schema.Struct({\n id: ProjectID,\n directory: AbsolutePath,\n canonical: AbsolutePath,\n }),\n}) {}\n\nexport function response<S extends Schema.Top>(data: S) {\n return Schema.Struct({ location: Info, data })\n}\n", | ||
| "export * as Event from \"./event.js\"\n\nimport { Schema, SchemaTransformation } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ascending } from \"./identifier.js\"\nimport { Location } from \"./location.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"evt_\")).pipe(\n Schema.brand(\"Event.ID\"),\n statics((schema) => ({ create: () => schema.make(\"evt_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\n/**\n * Position in one aggregate's durable log. Values originate from the durable\n * event envelope and synced markers;\n * `after` cursors accept only values that came from those sources.\n */\nexport const Seq = Schema.Int.check(Schema.isGreaterThanOrEqualTo(0)).pipe(Schema.brand(\"Event.Seq\"))\nexport type Seq = typeof Seq.Type\n\n/** Durable schema version of one event type, from the event definition that committed it. */\nexport const Version = Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)).pipe(Schema.brand(\"Event.Version\"))\nexport type Version = typeof Version.Type\n\nconst DurableEnvelope = Schema.Struct({ aggregateID: Schema.String, seq: Seq, version: Version })\nexport type DurableEnvelope = typeof DurableEnvelope.Type\n\nexport type DurableDefinition<\n Type extends string = string,\n DataSchema extends Schema.Codec<unknown, unknown> = Schema.Codec<unknown, unknown>,\n> = Schema.Top & {\n readonly type: Type\n readonly durability: \"durable\"\n readonly durable: {\n readonly version: number\n readonly aggregate: string\n }\n readonly data: DataSchema\n}\n\nexport type EphemeralDefinition<\n Type extends string = string,\n DataSchema extends Schema.Codec<unknown, unknown> = Schema.Codec<unknown, unknown>,\n> = Schema.Top & {\n readonly type: Type\n readonly durability: \"ephemeral\"\n readonly durable?: never\n readonly data: DataSchema\n}\n\nexport type Definition<\n Type extends string = string,\n DataSchema extends Schema.Codec<unknown, unknown> = Schema.Codec<unknown, unknown>,\n> = DurableDefinition<Type, DataSchema> | EphemeralDefinition<Type, DataSchema>\n\nexport type Data<D extends Definition> = Schema.Schema.Type<D[\"data\"]>\n\ntype PayloadBase<D extends Definition> = {\n readonly id: ID\n readonly type: D[\"type\"]\n readonly created: number\n readonly data: Data<D>\n readonly location?: Location.Ref\n readonly metadata?: Record<string, unknown>\n}\n\nexport type Payload<D extends Definition = Definition> = D extends DurableDefinition\n ? PayloadBase<D> & { readonly durable: DurableEnvelope }\n : PayloadBase<D> & { readonly durable?: never }\n\ntype Input<Type extends string, Fields extends Readonly<Record<PropertyKey, Schema.Codec<unknown, unknown>>>> = {\n readonly type: Type\n readonly identifier?: string\n readonly durable?: {\n readonly version: number\n readonly aggregate: string\n }\n readonly schema: Fields\n}\n\nexport function durable<\n const Type extends string,\n const Fields extends Readonly<Record<PropertyKey, Schema.Codec<unknown, unknown>>>,\n>(input: Input<Type, Fields> & { readonly durable: NonNullable<Input<Type, Fields>[\"durable\"]> }) {\n const data = Schema.Struct(input.schema)\n const durable = Schema.Struct({\n aggregateID: DurableEnvelope.fields.aggregateID,\n seq: DurableEnvelope.fields.seq,\n version: Schema.Literal(input.durable.version).pipe(\n Schema.decodeTo(\n Schema.toType(Version),\n SchemaTransformation.transform({\n decode: () => Version.make(input.durable.version),\n encode: () => input.durable.version,\n }),\n ),\n ),\n })\n return Schema.Struct({\n id: ID,\n created: Schema.Finite,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n type: Schema.Literal(input.type),\n durable,\n location: optional(Location.Ref),\n data,\n })\n .annotate({ identifier: input.identifier ?? input.type })\n .pipe(\n statics(() => ({\n type: input.type,\n durability: \"durable\" as const,\n durable: input.durable,\n data,\n })),\n ) satisfies DurableDefinition<Type, typeof data>\n}\n\nexport function ephemeral<\n const Type extends string,\n const Fields extends Readonly<Record<PropertyKey, Schema.Codec<unknown, unknown>>>,\n>(input: Omit<Input<Type, Fields>, \"durable\">) {\n const data = Schema.Struct(input.schema)\n return Schema.Struct({\n id: ID,\n created: Schema.Finite,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n type: Schema.Literal(input.type),\n location: optional(Location.Ref),\n data,\n })\n .annotate({ identifier: input.identifier ?? input.type })\n .pipe(\n statics(() => ({\n type: input.type,\n durability: \"ephemeral\" as const,\n durable: undefined,\n data,\n })),\n ) satisfies EphemeralDefinition<Type, typeof data>\n}\n\nexport function inventory<const Definitions extends ReadonlyArray<Definition>>(...definitions: Definitions) {\n return Object.freeze(definitions)\n}\n\nexport function latest(definitions: ReadonlyArray<Definition>) {\n return readonlyMap(\n definitions.reduce((result, definition) => {\n const existing = result.get(definition.type)\n if (!existing) {\n result.set(definition.type, definition)\n return result\n }\n if (definition.durable && existing.durable && definition.durable.version !== existing.durable.version) {\n if (definition.durable.version > existing.durable.version) result.set(definition.type, definition)\n return result\n }\n if (definition !== existing) throw new Error(`Duplicate latest event definition for ${definition.type}`)\n return result\n }, new Map<string, Definition>()),\n )\n}\n\nexport function versionedType(type: string, version: number) {\n return `${type}.${version}`\n}\n\nexport function durableMap<const Definitions extends ReadonlyArray<Definition>>(definitions: Definitions) {\n return readonlyMap(\n definitions.reduce((result, definition) => {\n if (definition.durability !== \"durable\") return result\n const key = versionedType(definition.type, definition.durable.version)\n if (result.has(key)) throw new Error(`Duplicate durable event definition for ${key}`)\n result.set(key, definition)\n return result\n }, new Map<string, DurableDefinition>()),\n )\n}\n\nfunction readonlyMap<Key, Value>(map: Map<Key, Value>): ReadonlyMap<Key, Value> {\n const result: ReadonlyMap<Key, Value> = Object.freeze({\n get size() {\n return map.size\n },\n entries: () => map.entries(),\n forEach: (callback: (value: Value, key: Key, map: ReadonlyMap<Key, Value>) => void, thisArg?: unknown) =>\n map.forEach((value, key) => callback.call(thisArg, value, key, result)),\n get: (key: Key) => map.get(key),\n has: (key: Key) => map.has(key),\n keys: () => map.keys(),\n values: () => map.values(),\n [Symbol.iterator]: () => map[Symbol.iterator](),\n })\n return result\n}\n", | ||
| "import { Schema } from \"effect\"\n\nexport const IntegrationID = Schema.String.pipe(Schema.brand(\"Integration.ID\"))\nexport type IntegrationID = typeof IntegrationID.Type\n\nexport const IntegrationMethodID = Schema.String.pipe(Schema.brand(\"Integration.MethodID\"))\nexport type IntegrationMethodID = typeof IntegrationMethodID.Type\n", | ||
| "export * as Form from \"./form.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, optional, statics } from \"./schema.js\"\n\nconst IDSchema = Schema.String.check(Schema.isStartsWith(\"frm_\")).pipe(Schema.brand(\"Form.ID\"))\n\nexport const ID = IDSchema.pipe(\n statics((schema: typeof IDSchema) => ({ create: (id?: string) => schema.make(id ?? \"frm_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Metadata = Schema.Record(Schema.String, Schema.Unknown).annotate({ identifier: \"Form.Metadata\" })\nexport type Metadata = typeof Metadata.Type\n\nexport const Option = Schema.Struct({\n value: Schema.String,\n label: Schema.String,\n description: Schema.String.pipe(optional),\n}).annotate({ identifier: \"Form.Option\" })\nexport interface Option extends Schema.Schema.Type<typeof Option> {}\n\n// One visibility condition on a field. A field's `when` is a list of conditions that must all\n// hold (AND) against the current answers for the field to be active. Semantics:\n// - `value` must match the referenced field's type; against a multiselect answer, `eq` means\n// \"selection includes value\" and `neq` means \"selection does not include value\".\n// - An unanswered referenced field makes the condition false for both ops.\n// - `key` must reference a field defined earlier in the form's field list.\n// Inactive fields are neither required nor answerable.\nexport const When = Schema.Struct({\n key: Schema.String,\n op: Schema.Literals([\"eq\", \"neq\"]),\n value: Schema.Union([Schema.String, Schema.Number, Schema.Boolean]),\n}).annotate({ identifier: \"Form.When\" })\nexport interface When extends Schema.Schema.Type<typeof When> {}\n\nconst FieldBase = {\n key: Schema.String,\n title: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n required: Schema.Boolean.pipe(optional),\n when: Schema.Array(When).pipe(optional),\n}\n\nexport const StringField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"string\"),\n format: Schema.Literals([\"email\", \"uri\", \"date\", \"date-time\"]).pipe(optional),\n minLength: NonNegativeInt.pipe(optional),\n maxLength: NonNegativeInt.pipe(optional),\n pattern: Schema.String.pipe(optional),\n placeholder: Schema.String.pipe(optional),\n default: Schema.String.pipe(optional),\n options: Schema.Array(Option).pipe(optional),\n custom: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Form.StringField\" })\nexport interface StringField extends Schema.Schema.Type<typeof StringField> {}\n\nexport const NumberField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"number\"),\n minimum: Schema.Number.pipe(optional),\n maximum: Schema.Number.pipe(optional),\n default: Schema.Number.pipe(optional),\n}).annotate({ identifier: \"Form.NumberField\" })\nexport interface NumberField extends Schema.Schema.Type<typeof NumberField> {}\n\nexport const IntegerField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"integer\"),\n minimum: Schema.Number.pipe(optional),\n maximum: Schema.Number.pipe(optional),\n default: Schema.Number.pipe(optional),\n}).annotate({ identifier: \"Form.IntegerField\" })\nexport interface IntegerField extends Schema.Schema.Type<typeof IntegerField> {}\n\nexport const BooleanField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"boolean\"),\n default: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Form.BooleanField\" })\nexport interface BooleanField extends Schema.Schema.Type<typeof BooleanField> {}\n\nexport const MultiselectField = Schema.Struct({\n ...FieldBase,\n type: Schema.Literal(\"multiselect\"),\n options: Schema.Array(Option),\n minItems: NonNegativeInt.pipe(optional),\n maxItems: NonNegativeInt.pipe(optional),\n custom: Schema.Boolean.pipe(optional),\n default: Schema.Array(Schema.String).pipe(optional),\n}).annotate({ identifier: \"Form.MultiselectField\" })\nexport interface MultiselectField extends Schema.Schema.Type<typeof MultiselectField> {}\n\nexport const ExternalField = Schema.Struct({\n key: Schema.String,\n type: Schema.Literal(\"external\"),\n url: Schema.String,\n title: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n}).annotate({ identifier: \"Form.ExternalField\" })\nexport interface ExternalField extends Schema.Schema.Type<typeof ExternalField> {}\n\nexport const Field = Schema.Union([\n StringField,\n NumberField,\n IntegerField,\n BooleanField,\n MultiselectField,\n ExternalField,\n]).pipe(Schema.toTaggedUnion(\"type\"), Schema.annotate({ identifier: \"Form.Field\" }))\nexport type Field = StringField | NumberField | IntegerField | BooleanField | MultiselectField | ExternalField\n\nexport const Fields = Schema.NonEmptyArray(Field).annotate({ identifier: \"Form.Fields\" })\nexport type Fields = typeof Fields.Type\n\nconst InfoBase = {\n id: ID,\n // This should be typed as SessionID. It is a plain string only because MCP elicitation\n // temporarily needs the `\"global\"` sentinel owner, which is not a real session. Once\n // elicitations can be attributed to real sessions, revert this to SessionID. Do not rely\n // on non-session owners anywhere else.\n sessionID: Schema.String,\n title: Schema.String,\n metadata: Metadata.pipe(optional),\n}\n\nexport const Info = Schema.Struct({\n ...InfoBase,\n fields: Fields,\n}).annotate({ identifier: \"Form.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nexport const Value = Schema.Union([Schema.String, Schema.Number, Schema.Boolean, Schema.Array(Schema.String)]).annotate(\n {\n identifier: \"Form.Value\",\n },\n)\nexport type Value = typeof Value.Type\n\nexport const Answer = Schema.Record(Schema.String, Value).annotate({ identifier: \"Form.Answer\" })\nexport type Answer = typeof Answer.Type\n\nexport const State = Schema.Union([\n Schema.Struct({ status: Schema.Literal(\"pending\") }),\n Schema.Struct({ status: Schema.Literal(\"answered\"), answer: Answer }),\n Schema.Struct({ status: Schema.Literal(\"cancelled\") }),\n])\n .pipe(Schema.toTaggedUnion(\"status\"))\n .annotate({ identifier: \"Form.State\" })\nexport type State = typeof State.Type\n\nexport const Reply = Schema.Struct({\n answer: Answer,\n}).annotate({ identifier: \"Form.Reply\" })\nexport interface Reply extends Schema.Schema.Type<typeof Reply> {}\n\nconst Created = ephemeral({ type: \"form.created\", schema: { form: Info } })\nconst Replied = ephemeral({ type: \"form.replied\", schema: { id: ID, sessionID: Schema.String, answer: Answer } })\nconst Cancelled = ephemeral({ type: \"form.cancelled\", schema: { id: ID, sessionID: Schema.String } })\n\nexport const Event = { Created, Replied, Cancelled, Definitions: inventory(Created, Replied, Cancelled) }\n", | ||
| "export * as Credential from \"./credential.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { IntegrationMethodID } from \"./integration-id.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, statics } from \"./schema.js\"\nimport { Form } from \"./form.js\"\n\nexport const ID = Schema.String.pipe(\n Schema.brand(\"Credential.ID\"),\n statics((schema) => ({ create: () => schema.make(\"cred_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport interface OAuth extends Schema.Schema.Type<typeof OAuth> {}\nexport const OAuth = Schema.Struct({\n type: Schema.Literal(\"oauth\"),\n methodID: IntegrationMethodID,\n refresh: Schema.String,\n access: Schema.String,\n expires: NonNegativeInt,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n}).annotate({ identifier: \"Credential.OAuth\" })\n\nexport interface Key extends Schema.Schema.Type<typeof Key> {}\nexport const Key = Schema.Struct({\n type: Schema.Literal(\"key\"),\n key: Schema.String,\n metadata: optional(Schema.Record(Schema.String, Schema.Unknown)),\n configuration: optional(Form.Answer),\n}).annotate({ identifier: \"Credential.Key\" })\n\nexport const Value = Schema.Union([OAuth, Key])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Credential.Value\" })\nexport type Value = Schema.Schema.Type<typeof Value>\n" | ||
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| "debugId": "D2A825E6FF3EDD6264756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openai-options.ts"], | ||
| "sourcesContent": [ | ||
| "import { mergeProviderOptions, type ProviderOptions } from \"../schema/index.js\"\nimport type { OpenResponsesOptionsInput } from \"./open-responses-options.js\"\n\nexport type { OpenAIResponseIncludable, OpenAIServiceTier } from \"../protocols/utils/openai-options.js\"\n\nexport type OpenAIOptionsInput = OpenResponsesOptionsInput\n\nexport type OpenAIProviderOptionsInput = OpenAIOptionsInput\n\nconst definedEntries = (input: Record<string, unknown>) =>\n Object.entries(input).filter((entry) => entry[1] !== undefined)\n\nconst openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {\n const result = Object.fromEntries(\n definedEntries({\n store: options?.store,\n reasoningEffort: options?.reasoningEffort,\n reasoningSummary: options?.reasoningSummary,\n include: options?.include,\n textVerbosity: options?.textVerbosity,\n serviceTier: options?.serviceTier,\n }),\n )\n if (Object.keys(result).length === 0) return undefined\n return result\n}\n\nexport const gpt5DefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined => {\n const id = modelID.toLowerCase()\n if (!id.includes(\"gpt-5\") || id.includes(\"gpt-5-chat\") || id.includes(\"gpt-5-pro\")) return undefined\n return openAIProviderOptions({\n reasoningEffort: \"medium\",\n reasoningSummary: \"auto\",\n // GPT-5 reasoning models are configured stateless (`store: false`) by\n // `openAIDefaultOptions` below, so the only way a follow-up turn can\n // carry reasoning state is via the encrypted reasoning include. Without\n // this, callers using the default model facade get reasoning summaries\n // they cannot replay statelessly.\n include: [\"reasoning.encrypted_content\"],\n textVerbosity:\n options.textVerbosity === true && id.includes(\"gpt-5.\") && !id.includes(\"codex\") && !id.includes(\"-chat\")\n ? \"low\"\n : undefined,\n })\n}\n\nexport const openAIDefaultOptions = (\n modelID: string,\n options: { readonly textVerbosity?: boolean } = {},\n): ProviderOptions | undefined =>\n mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID, options))\n\nexport const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(\n modelID: string,\n options: Options,\n defaults: { readonly textVerbosity?: boolean } = {},\n): Omit<Options, \"providerOptions\"> & { readonly providerOptions?: ProviderOptions } => {\n return {\n ...options,\n providerOptions: mergeProviderOptions(openAIDefaultOptions(modelID, defaults), options.providerOptions),\n }\n}\n\nexport * as OpenAIProviderOptions from \"./openai-options.js\"\n" | ||
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| "debugId": "134FAB1D74B6E21E64756E2164756E21", | ||
| "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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| "sourcesContent": [ | ||
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| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../core/src/image/photon-wasm.bun.ts", "../core/src/image/photon.ts"], | ||
| "sourcesContent": [ | ||
| "// @ts-ignore Bun embeds static file imports when compiling the CLI.\nimport photonWasm from \"@silvia-odwyer/photon-node/photon_rs_bg.wasm\" with { type: \"file\" }\n\nexport default photonWasm\n", | ||
| "import photonWasm from \"#photon-wasm\"\nimport { Effect } from \"effect\"\nimport path from \"node:path\"\nimport { fileURLToPath } from \"node:url\"\nimport { FileSystem } from \"../filesystem.js\"\nimport { DecodeError, ResizerUnavailableError, SizeError } from \"../image.js\"\n\nconst JPEG_QUALITIES = [80, 85, 70, 55, 40]\n\nexport const make = Effect.gen(function* () {\n ;(globalThis as typeof globalThis & { __OPENCODE_PHOTON_WASM_PATH?: string }).__OPENCODE_PHOTON_WASM_PATH =\n path.isAbsolute(photonWasm) ? photonWasm : fileURLToPath(new URL(photonWasm, import.meta.url))\n const loadPhoton = yield* Effect.cached(\n Effect.tryPromise({\n try: () => import(\"@silvia-odwyer/photon-node\"),\n catch: () => new ResizerUnavailableError(),\n }),\n )\n return Effect.fn(\"Image.Photon.normalize\")(function* (\n resource: string,\n content: FileSystem.Content & { readonly encoding: \"base64\" },\n limits: {\n readonly autoResize: boolean\n readonly maxWidth: number\n readonly maxHeight: number\n readonly maxBase64Bytes: number\n },\n ) {\n const photon = yield* loadPhoton\n const decoded = yield* Effect.try({\n try: () => photon.PhotonImage.new_from_byteslice(Buffer.from(content.content, \"base64\")),\n catch: () => new DecodeError({ resource }),\n })\n try {\n const width = decoded.get_width()\n const height = decoded.get_height()\n const bytes = Buffer.byteLength(content.content, \"utf-8\")\n if (width <= limits.maxWidth && height <= limits.maxHeight && bytes <= limits.maxBase64Bytes) return content\n if (!limits.autoResize)\n return yield* new SizeError({\n resource,\n width,\n height,\n bytes,\n maxWidth: limits.maxWidth,\n maxHeight: limits.maxHeight,\n maxBytes: limits.maxBase64Bytes,\n })\n const scale = Math.min(1, limits.maxWidth / width, limits.maxHeight / height)\n const sizes = Array.from({ length: 32 }).reduce<Array<{ width: number; height: number }>>((acc) => {\n const previous = acc.at(-1) ?? {\n width: Math.max(1, Math.round(width * scale)),\n height: Math.max(1, Math.round(height * scale)),\n }\n const next =\n acc.length === 0\n ? previous\n : {\n width: previous.width === 1 ? 1 : Math.max(1, Math.floor(previous.width * 0.75)),\n height: previous.height === 1 ? 1 : Math.max(1, Math.floor(previous.height * 0.75)),\n }\n return acc.some((item) => item.width === next.width && item.height === next.height) ? acc : [...acc, next]\n }, [])\n for (const size of sizes) {\n const resized = photon.resize(decoded, size.width, size.height, photon.SamplingFilter.Lanczos3)\n try {\n const encoders: Array<readonly [mime: string, encode: () => Uint8Array]> = [\n [\"image/png\", () => resized.get_bytes()],\n ...JPEG_QUALITIES.map((quality) => [\"image/jpeg\", () => resized.get_bytes_jpeg(quality)] as const),\n ]\n for (const [mime, encode] of encoders) {\n const candidate = Buffer.from(encode()).toString(\"base64\")\n if (Buffer.byteLength(candidate, \"utf-8\") <= limits.maxBase64Bytes)\n return { ...content, content: candidate, encoding: \"base64\" as const, mime }\n }\n } finally {\n resized.free()\n }\n }\n return yield* new SizeError({\n resource,\n width,\n height,\n bytes,\n maxWidth: limits.maxWidth,\n maxHeight: limits.maxHeight,\n maxBytes: limits.maxBase64Bytes,\n })\n } finally {\n decoded.free()\n }\n })\n})\n" | ||
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| "debugId": "343DFC03223B477C64756E2164756E21", | ||
| "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": "328545AAC903F72464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/worktree.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Worktree from \"./worktree.js\"\n\nimport { Schema } from \"effect\"\nimport { durable, ephemeral, inventory } from \"./event.js\"\nimport { ProjectID } from \"./project-id.js\"\nimport { AbsolutePath, optional } from \"./schema.js\"\nimport { Project } from \"./project.js\"\n\nexport const StrategyID = Schema.Trim.pipe(Schema.check(Schema.isNonEmpty()), Schema.brand(\"Worktree.StrategyID\"))\nexport type StrategyID = typeof StrategyID.Type\n\nexport const CreateInput = Schema.Struct({\n projectID: ProjectID,\n strategy: StrategyID,\n from: optional(AbsolutePath),\n directory: AbsolutePath,\n name: optional(Schema.String),\n}).annotate({ identifier: \"Worktree.CreateInput\" })\nexport interface CreateInput extends Schema.Schema.Type<typeof CreateInput> {}\n\nexport const RemoveInput = Schema.Struct({\n projectID: ProjectID,\n directory: AbsolutePath,\n force: Schema.Boolean,\n}).annotate({ identifier: \"Worktree.RemoveInput\" })\nexport interface RemoveInput extends Schema.Schema.Type<typeof RemoveInput> {}\n\nexport const Info = Schema.Struct({\n directory: AbsolutePath,\n}).annotate({ identifier: \"Worktree.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nexport const Directory = Schema.Struct({\n directory: AbsolutePath,\n strategy: optional(Schema.String),\n}).annotate({ identifier: \"Worktree.Directory\" })\nexport interface Directory extends Schema.Schema.Type<typeof Directory> {}\n\nexport const ListInput = Schema.Struct({\n projectID: ProjectID,\n}).annotate({ identifier: \"Worktree.ListInput\" })\nexport interface ListInput extends Schema.Schema.Type<typeof ListInput> {}\n\nexport const List = Schema.Array(Directory).annotate({ identifier: \"Worktree.List\" })\nexport type List = typeof List.Type\n\nconst Updated = ephemeral({\n type: \"worktree.updated\",\n schema: { projectID: Project.ID },\n})\n\nconst Resolved = durable({\n type: \"worktree.resolved\",\n durable: { aggregate: \"projectID\", version: 1 },\n schema: {\n projectID: Project.ID,\n directory: AbsolutePath,\n previous: Project.ID,\n },\n})\n\nexport const Event = { Updated, Resolved, Definitions: inventory(Updated, Resolved) }\n\nexport function adopt(\n session: { readonly projectID: string; readonly directory: string },\n event: { readonly projectID: string; readonly directory: string; readonly previous: string },\n) {\n if (session.projectID !== event.previous && session.projectID !== Project.ID.global) return\n if (session.projectID === event.projectID) return\n const inside =\n session.directory === event.directory ||\n session.directory.startsWith(event.directory + \"/\") ||\n session.directory.startsWith(event.directory + \"\\\\\")\n if (!inside) return\n return {\n projectID: event.projectID,\n subpath:\n session.directory === event.directory\n ? undefined\n : session.directory.slice(event.directory.length + 1).replaceAll(\"\\\\\", \"/\"),\n }\n}\n" | ||
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| "debugId": "688ECE517CB5DDCE64756E2164756E21", | ||
| "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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| { | ||
| "version": 3, | ||
| "sources": ["../../node_modules/.bun/picocolors@1.1.1/node_modules/picocolors/picocolors.js"], | ||
| "sourcesContent": [ | ||
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| "debugId": "A60AC87BBC281F2364756E2164756E21", | ||
| "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 options = yield* ServiceConfig.options()\n const found = yield* Service.discover(options)\n const endpoint = found ?? (yield* Service.ensure(options))\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n const integration = yield* resolveIntegration(client, input.name, location)\n if (!integration)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n const method = integration.methods.find(\n (candidate): candidate is IntegrationOAuthMethod => candidate.type === \"oauth\",\n )\n if (!method)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" is not an OAuth-capable remote server`))\n\n const started = yield* Effect.promise(() =>\n client.integration.oauth.connect({ integrationID: integration.id, methodID: method.id, location }),\n )\n const attempt = started.data\n if (attempt.mode === \"code\")\n return yield* Effect.fail(new Error(\"This server requires manual code entry, which the CLI does not support\"))\n\n process.stdout.write(attempt.instructions + EOL + attempt.url + EOL)\n\n const result = yield* poll(client, integration.id, attempt.attemptID)\n if (result.status === \"complete\") {\n process.stdout.write(`Authenticated with ${input.name}` + EOL)\n return\n }\n const reason = result.status === \"failed\" ? `: ${result.message}` : \"\"\n return yield* Effect.fail(new Error(`Authentication ${result.status}${reason}`))\n }),\n)\n\nconst poll = (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n): Effect.Effect<Exclude<IntegrationAttemptStatus, { status: \"pending\" }>> =>\n Effect.gen(function* () {\n const status = yield* Effect.promise(() =>\n client.integration.oauth.status({ integrationID, attemptID, location }),\n ).pipe(Effect.map((result) => result.data))\n if (status.status === \"pending\") {\n yield* Effect.sleep(\"1 second\")\n return yield* poll(client, integrationID, attemptID)\n }\n return status\n })\n" | ||
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| "debugId": "546502887140E6B664756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/workspace.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Workspace from \"./workspace.js\"\n\nimport { WorkspaceEvent } from \"./workspace-event.js\"\nimport { WorkspaceID } from \"./workspace-id.js\"\n\nexport const ID = WorkspaceID\nexport type ID = WorkspaceID\n\nexport const Event = WorkspaceEvent\n" | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/filesystem.ts"], | ||
| "sourcesContent": [ | ||
| "export * as FileSystem from \"./filesystem.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { NonNegativeInt, PositiveInt, RelativePath } from \"./schema.js\"\n\nconst Changed = ephemeral({\n type: \"filesystem.changed\",\n schema: {\n file: Schema.String,\n event: Schema.Literals([\"add\", \"change\", \"unlink\"]),\n },\n})\nexport const Event = { Changed, Definitions: inventory(Changed) }\n\nexport interface Entry extends Schema.Schema.Type<typeof Entry> {}\nexport const Entry = Schema.Struct({\n path: RelativePath,\n type: Schema.Literals([\"file\", \"directory\"]),\n}).annotate({ identifier: \"FileSystem.Entry\" })\n\nexport interface Submatch extends Schema.Schema.Type<typeof Submatch> {}\nexport const Submatch = Schema.Struct({\n text: Schema.String,\n start: NonNegativeInt,\n end: NonNegativeInt,\n}).annotate({ identifier: \"FileSystem.Submatch\" })\n\nexport interface Match extends Schema.Schema.Type<typeof Match> {}\nexport const Match = Schema.Struct({\n entry: Entry,\n line: PositiveInt,\n offset: NonNegativeInt,\n text: Schema.String,\n submatches: Schema.Array(Submatch),\n}).annotate({ identifier: \"FileSystem.Match\" })\n\nexport class FindInput extends Schema.Class<FindInput>(\"FileSystem.FindInput\")({\n query: Schema.String,\n type: Schema.Literals([\"file\", \"directory\"]).pipe(optional),\n limit: PositiveInt.pipe(optional),\n}) {}\n" | ||
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| } |
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/session-transfer.ts"], | ||
| "sourcesContent": [ | ||
| "export * as SessionTransfer from \"./session-transfer.js\"\n\nimport { Schema } from \"effect\"\nimport { Session } from \"./session.js\"\nimport { SessionMessage } from \"./session-message.js\"\n\nexport interface Data extends Schema.Schema.Type<typeof Data> {}\nexport const Data = Schema.Struct({\n info: Session.Info,\n messages: Schema.Array(SessionMessage.Info),\n}).annotate({ identifier: \"SessionTransfer.Data\" })\n" | ||
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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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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/gemini.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n LLMEvent,\n Usage,\n type FinishReason,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ProviderMetadata,\n type TextPart,\n type ToolCallPart,\n type ToolDefinition,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, ProviderShared } from \"./shared.js\"\nimport { GeminiToolSchema } from \"./utils/gemini-tool-schema.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\n\nconst ADAPTER = \"gemini\"\n// Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.\nconst SKIP_THOUGHT_SIGNATURE_VALIDATOR = \"skip_thought_signature_validator\"\nexport const DEFAULT_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta\"\n\n// Gemini 3 rejects replayed function calls without a thought signature. Google's SDKs avoid that in normal chats by\n// retaining complete model responses, but OpenCode reconstructs durable history and may encounter an unsigned call\n// from an older or external session. Model IDs are open-ended, so unknown Gemini aliases inherit current behavior.\nconst requiresThoughtSignatureFallback = (modelID: string) => {\n if (!/(^|\\/)gemini-/i.test(modelID)) return false\n if (/(^|\\/)gemini-(?:1|2)(?:[.-]|$)/i.test(modelID)) return false\n if (/(^|\\/)gemini-pro(?:-vision)?$/i.test(modelID)) return false\n return !/(^|\\/)gemini-robotics-er-1\\.5(?:[.-]|$)/i.test(modelID)\n}\n\n// Gemini 3 accepts media nested inside function responses; matched Gemini 2.5 variants reject it,\n// so their tool-result attachments lower as a separate user turn instead.\nconst routesLegacyToolMedia = (modelID: string) => /gemini-2[.-]5(?:[.-]|$)/i.test(modelID)\n\nexport interface OptionsInput {\n readonly [key: string]: unknown\n readonly cachedContent?: string\n readonly safetySettings?: ReadonlyArray<{\n readonly category:\n | \"HARM_CATEGORY_UNSPECIFIED\"\n | \"HARM_CATEGORY_HATE_SPEECH\"\n | \"HARM_CATEGORY_DANGEROUS_CONTENT\"\n | \"HARM_CATEGORY_HARASSMENT\"\n | \"HARM_CATEGORY_SEXUALLY_EXPLICIT\"\n | \"HARM_CATEGORY_CIVIC_INTEGRITY\"\n | (string & {})\n readonly threshold:\n | \"HARM_BLOCK_THRESHOLD_UNSPECIFIED\"\n | \"BLOCK_LOW_AND_ABOVE\"\n | \"BLOCK_MEDIUM_AND_ABOVE\"\n | \"BLOCK_ONLY_HIGH\"\n | \"BLOCK_NONE\"\n | \"OFF\"\n | (string & {})\n }>\n readonly serviceTier?: \"standard\" | \"flex\" | \"priority\" | (string & {})\n readonly thinkingConfig?: {\n readonly thinkingBudget?: number\n readonly includeThoughts?: boolean\n readonly thinkingLevel?: \"minimal\" | \"low\" | \"medium\" | \"high\" | (string & {})\n }\n}\n\nexport type ProviderOptionsInput = OptionsInput\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst GeminiTextPart = Schema.Struct({\n text: Schema.String,\n thought: Schema.optional(Schema.Boolean),\n thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiInlineDataPart = Schema.Struct({\n inlineData: Schema.Struct({\n mimeType: Schema.String,\n data: Schema.String,\n }),\n})\ntype GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>\n\nconst GeminiFunctionCallPart = Schema.Struct({\n functionCall: Schema.Struct({\n id: Schema.optional(Schema.String),\n name: Schema.String,\n args: Schema.optional(Schema.Unknown),\n }),\n thoughtSignature: Schema.optional(Schema.String),\n})\n\nconst GeminiFunctionResponsePart = Schema.Struct({\n functionResponse: Schema.Struct({\n id: Schema.optional(Schema.String),\n name: Schema.String,\n response: Schema.Unknown,\n parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),\n }),\n})\n\nconst GeminiContentPart = Schema.Union([\n GeminiTextPart,\n GeminiInlineDataPart,\n GeminiFunctionCallPart,\n GeminiFunctionResponsePart,\n])\n\nconst GeminiContent = Schema.Struct({\n role: Schema.Literals([\"user\", \"model\"]),\n parts: Schema.Array(GeminiContentPart),\n})\ntype GeminiContent = Schema.Schema.Type<typeof GeminiContent>\n\nconst GeminiSystemInstruction = Schema.Struct({\n parts: Schema.Array(Schema.Struct({ text: Schema.String })),\n})\n\nconst GeminiFunctionDeclaration = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n parameters: Schema.optional(JsonObject),\n})\n\nconst GeminiTool = Schema.Struct({\n functionDeclarations: Schema.Array(GeminiFunctionDeclaration),\n})\n\nconst GeminiToolConfig = Schema.Struct({\n functionCallingConfig: Schema.Struct({\n mode: Schema.Literals([\"AUTO\", \"NONE\", \"ANY\"]),\n allowedFunctionNames: optionalArray(Schema.String),\n }),\n})\n\nconst GeminiThinkingConfig = Schema.Struct({\n thinkingBudget: Schema.optional(Schema.Number),\n includeThoughts: Schema.optional(Schema.Boolean),\n thinkingLevel: Schema.optional(Schema.String),\n})\n\nconst GeminiSafetySetting = Schema.Struct({\n category: Schema.String,\n threshold: Schema.String,\n})\n\nconst GeminiGenerationConfig = Schema.Struct({\n maxOutputTokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n topP: Schema.optional(Schema.Number),\n topK: Schema.optional(Schema.Number),\n frequencyPenalty: Schema.optional(Schema.Number),\n presencePenalty: Schema.optional(Schema.Number),\n seed: Schema.optional(Schema.Number),\n stopSequences: optionalArray(Schema.String),\n thinkingConfig: Schema.optional(GeminiThinkingConfig),\n})\n\nconst GeminiBodyFields = {\n cachedContent: Schema.optional(Schema.String),\n contents: Schema.Array(GeminiContent),\n labels: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n safetySettings: optionalArray(GeminiSafetySetting),\n serviceTier: Schema.optional(Schema.String),\n systemInstruction: Schema.optional(GeminiSystemInstruction),\n tools: optionalArray(GeminiTool),\n toolConfig: Schema.optional(GeminiToolConfig),\n generationConfig: Schema.optional(GeminiGenerationConfig),\n}\nconst GeminiBody = Schema.Struct(GeminiBodyFields)\nexport type GeminiBody = Schema.Schema.Type<typeof GeminiBody>\n\nconst GeminiUsage = Schema.Struct({\n cachedContentTokenCount: Schema.optional(Schema.Number),\n thoughtsTokenCount: Schema.optional(Schema.Number),\n promptTokenCount: Schema.optional(Schema.Number),\n candidatesTokenCount: Schema.optional(Schema.Number),\n totalTokenCount: Schema.optional(Schema.Number),\n})\ntype GeminiUsage = Schema.Schema.Type<typeof GeminiUsage>\n\nconst GeminiCandidate = Schema.Struct({\n content: Schema.optional(GeminiContent),\n finishReason: Schema.optional(Schema.String),\n})\n\nconst GeminiPromptFeedback = Schema.StructWithRest(\n Schema.Struct({\n blockReason: Schema.optional(Schema.String),\n blockReasonMessage: Schema.optional(Schema.String),\n safetyRatings: Schema.optional(Schema.Unknown),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype GeminiPromptFeedback = Schema.Schema.Type<typeof GeminiPromptFeedback>\n\nconst GeminiEvent = Schema.Struct({\n candidates: optionalArray(GeminiCandidate),\n promptFeedback: Schema.optional(GeminiPromptFeedback),\n usageMetadata: Schema.optional(GeminiUsage),\n})\ntype GeminiEvent = Schema.Schema.Type<typeof GeminiEvent>\n\ninterface ParserState {\n readonly finishReason?: string\n readonly hasToolCalls: boolean\n readonly nextToolCallId: number\n readonly promptFeedback?: GeminiPromptFeedback\n readonly usage?: Usage\n readonly lifecycle: Lifecycle.State\n readonly reasoningSignature?: string\n}\n\n// =============================================================================\n// Tool Schema Conversion\n// =============================================================================\n// Tool-schema conversion has two distinct concerns:\n//\n// 1. Sanitize — fix common authoring mistakes Gemini rejects: integer/number\n// enums (must be strings), `required` entries that don't match a property,\n// untyped arrays (`items` must be present), and `properties`/`required`\n// keys on non-object scalars. Mirrors OpenCode's historical Gemini rules.\n//\n// 2. Project — lossy mapping from JSON Schema to Gemini's schema dialect:\n// drop empty root parameter schemas while preserving nested empty objects,\n// expand type arrays into `anyOf`, derive `nullable: true` from null members,\n// coerce `const` to `[const]` enum, recurse properties/items, and propagate\n// only an allowlisted set of keys (description, required, format, type,\n// nullable, enum, properties, items, allOf, anyOf, oneOf, minLength).\n// Anything outside the allowlist (e.g. `additionalProperties`, `$ref`) is\n// silently dropped.\n//\n// Sanitize runs first, then project. The implementation lives in\n// `utils/gemini-tool-schema` so this protocol keeps the same shape as the other\n// provider protocols.\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema) => ({\n name: tool.name,\n description: tool.description,\n parameters: GeminiToolSchema.convert(inputSchema),\n})\n\nconst lowerToolConfig = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Gemini\", toolChoice, {\n auto: () => ({ functionCallingConfig: { mode: \"AUTO\" as const } }),\n none: () => ({ functionCallingConfig: { mode: \"NONE\" as const } }),\n required: () => ({ functionCallingConfig: { mode: \"ANY\" as const } }),\n tool: (name) => ({ functionCallingConfig: { mode: \"ANY\" as const, allowedFunctionNames: [name] } }),\n })\n\nconst lowerUserPart = Effect.fn(\"Gemini.lowerUserPart\")(function* (part: TextPart | MediaPart) {\n if (part.type === \"text\") return { text: part.text }\n const media = ProviderShared.normalizeMedia(part)\n return { inlineData: { mimeType: media.mime, data: media.base64 } }\n})\n\nconst googleMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ google: metadata })\n\nconst thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {\n const google = providerMetadata?.google\n return ProviderShared.isRecord(google) && typeof google.thoughtSignature === \"string\"\n ? google.thoughtSignature\n : undefined\n}\n\nconst functionCallId = (providerMetadata: ProviderMetadata | undefined) => {\n const google = providerMetadata?.google\n return ProviderShared.isRecord(google) && typeof google.functionCallId === \"string\"\n ? google.functionCallId\n : undefined\n}\n\nconst lowerToolCall = (part: ToolCallPart) => ({\n functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input },\n thoughtSignature: thoughtSignature(part.providerMetadata),\n})\n\nconst lowerMessages = Effect.fn(\"Gemini.lowerMessages\")(function* (request: LLMRequest) {\n const contents: GeminiContent[] = []\n 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 })\n continue\n }\n if (part.type === \"reasoning\") {\n parts.push({ text: part.text, thought: true, thoughtSignature: thoughtSignature(part.providerMetadata) })\n continue\n }\n if (part.type === \"tool-call\") {\n const lowered = lowerToolCall(part)\n const signature = lowered.thoughtSignature\n parts.push({\n ...lowered,\n thoughtSignature:\n signature ??\n (requiresThoughtSignatureFallback(request.model.id) && !hasSignedToolCall\n ? SKIP_THOUGHT_SIGNATURE_VALIDATOR\n : undefined),\n })\n if (signature !== undefined) hasSignedToolCall = true\n continue\n }\n }\n contents.push({ role: \"model\", parts })\n continue\n }\n\n const parts: Array<Schema.Schema.Type<typeof GeminiContentPart>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Gemini\", \"tool\", [\"tool-result\"])\n if (part.result.type !== \"content\") {\n parts.push({\n functionResponse: {\n id: functionCallId(part.providerMetadata),\n name: part.name,\n response: {\n name: part.name,\n content: ProviderShared.toolResultText(part),\n },\n },\n })\n continue\n }\n const content: ReadonlyArray<Tool.Content> = part.result.value\n const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n const media: GeminiInlineDataPart[] = []\n for (const item of content) {\n if (item.type === \"text\") continue\n const value = ProviderShared.normalizeToolFile(item)\n media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })\n }\n if (legacyToolMedia && media.length > 0) (pendingMedia ??= []).push(...media)\n parts.push({\n functionResponse: {\n id: functionCallId(part.providerMetadata),\n name: part.name,\n response: {\n name: part.name,\n content: text.join(\"\\n\"),\n },\n parts: 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 const cached = usage.cachedContentTokenCount\n const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached)\n // `candidatesTokenCount` is visible-only; sum with thoughts to produce the\n // inclusive `outputTokens` the contract expects. Only compute the total\n // when the visible component is reported — otherwise we'd fabricate an\n // inclusive number from a partial breakdown.\n const outputTokens =\n usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined\n return new Usage({\n inputTokens: usage.promptTokenCount,\n outputTokens,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cached,\n reasoningTokens: usage.thoughtsTokenCount,\n totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),\n providerMetadata: { google: usage },\n })\n}\n\nconst mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {\n if (finishReason === undefined) return hasToolCalls ? \"tool-calls\" : \"unknown\"\n if (finishReason === \"STOP\") return hasToolCalls ? \"tool-calls\" : \"stop\"\n if (finishReason === \"MAX_TOKENS\") return \"length\"\n if (\n finishReason === \"IMAGE_SAFETY\" ||\n finishReason === \"RECITATION\" ||\n finishReason === \"SAFETY\" ||\n finishReason === \"BLOCKLIST\" ||\n finishReason === \"PROHIBITED_CONTENT\" ||\n finishReason === \"SPII\" ||\n finishReason === \"MODEL_ARMOR\" ||\n finishReason === \"IMAGE_PROHIBITED_CONTENT\" ||\n finishReason === \"IMAGE_RECITATION\" ||\n finishReason === \"LANGUAGE\"\n )\n return \"content-filter\"\n if (\n finishReason === \"MALFORMED_FUNCTION_CALL\" ||\n finishReason === \"UNEXPECTED_TOOL_CALL\" ||\n finishReason === \"NO_IMAGE\" ||\n finishReason === \"TOO_MANY_TOOL_CALLS\" ||\n finishReason === \"MISSING_THOUGHT_SIGNATURE\" ||\n finishReason === \"MALFORMED_RESPONSE\"\n )\n return \"error\"\n return \"unknown\"\n}\n\nconst finish = (state: ParserState): ReadonlyArray<LLMEvent> => {\n const promptBlockReason = state.finishReason === undefined ? state.promptFeedback?.blockReason : undefined\n const finishReason = state.finishReason ?? promptBlockReason\n if (finishReason === undefined && state.usage === undefined) return []\n\n const events: LLMEvent[] = []\n const lifecycle = state.reasoningSignature\n ? Lifecycle.reasoningEnd(\n state.lifecycle,\n events,\n \"reasoning-0\",\n googleMetadata({ thoughtSignature: state.reasoningSignature }),\n )\n : state.lifecycle\n Lifecycle.finish(lifecycle, events, {\n reason: {\n normalized:\n promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : \"content-filter\",\n raw: finishReason,\n },\n usage: state.usage,\n providerMetadata:\n state.promptFeedback === undefined ? undefined : googleMetadata({ promptFeedback: state.promptFeedback }),\n })\n return events\n}\n\nconst step = (state: ParserState, event: GeminiEvent) => {\n const nextState = {\n ...state,\n promptFeedback: event.promptFeedback ?? state.promptFeedback,\n usage: event.usageMetadata ? (mapUsage(event.usageMetadata) ?? state.usage) : state.usage,\n }\n const candidate = event.candidates?.[0]\n if (!candidate?.content)\n return Effect.succeed([\n { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },\n [],\n ] as const)\n\n const events: LLMEvent[] = []\n let hasToolCalls = nextState.hasToolCalls\n let lifecycle = nextState.lifecycle\n let nextToolCallId = nextState.nextToolCallId\n let reasoningSignature = nextState.reasoningSignature\n\n for (const part of candidate.content.parts) {\n if (\"thoughtSignature\" in part && part.thoughtSignature && \"thought\" in part && part.thought)\n reasoningSignature = part.thoughtSignature\n if (\"text\" in part && part.text.length > 0) {\n if (part.thought) {\n lifecycle = Lifecycle.reasoningDelta(\n lifecycle,\n events,\n \"reasoning-0\",\n part.text,\n part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined,\n )\n continue\n }\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n )\n lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", part.text)\n continue\n }\n\n if (\"functionCall\" in part) {\n const input = part.functionCall.args === undefined ? {} : part.functionCall.args\n const id = `tool_${nextToolCallId++}`\n const metadata = {\n ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }),\n ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }),\n }\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined,\n )\n lifecycle = Lifecycle.stepStart(lifecycle, events)\n events.push(\n LLMEvent.toolCall({\n id,\n name: part.functionCall.name,\n input,\n providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined,\n }),\n )\n hasToolCalls = true\n }\n }\n\n return Effect.succeed([\n {\n ...nextState,\n hasToolCalls,\n lifecycle,\n nextToolCallId,\n reasoningSignature,\n finishReason: candidate.finishReason ?? nextState.finishReason,\n },\n events,\n ] as const)\n}\n\n// =============================================================================\n// Protocol And Gemini Route\n// =============================================================================\n/**\n * The Gemini protocol — request body construction, body schema, and the\n * streaming-event state machine shared by Google AI Studio and Vertex Gemini.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: GeminiBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(GeminiEvent),\n initial: () => ({ hasToolCalls: false, nextToolCallId: 0, lifecycle: Lifecycle.initial() }),\n step,\n onHalt: finish,\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"google\",\n providerMetadataKey: \"google\",\n protocol,\n // Gemini's path embeds the model id and pins SSE framing at the URL level.\n endpoint: Endpoint.path(({ request }) => `/models/${request.model.id}:streamGenerateContent?alt=sse`, {\n baseURL: DEFAULT_BASE_URL,\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport * as Gemini from \"./gemini.js\"\n" | ||
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| ||
| "debugId": "37D90C6BB5C7A24B64756E2164756E21", | ||
| "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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| { | ||
| "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": "F29A04682ED1BC3E64756E2164756E21", | ||
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| } |
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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.succeed(undefined)\n })\n const multipartMask =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { data: mask.data, mediaType: mask.mediaType }\n : mask.type === \"url\"\n ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)\n : undefined\n const useMultipart =\n sourceImages.length > 0 &&\n multipartImages.every((image) => image !== undefined) &&\n (mask === undefined || multipartMask !== undefined)\n const path = sourceImages.length === 0 ? PATH : EDIT_PATH\n const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\\/$/, \"\")}${path}`, http?.query)\n\n if (useMultipart) {\n const form = new FormData()\n form.append(\"model\", request.model.id)\n form.append(\"prompt\", request.prompt)\n Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {\n if ([\"model\", \"prompt\", \"image\", \"image[]\", \"images\", \"mask\"].includes(key)) return\n form.append(key, typeof value === \"string\" ? value : ProviderShared.encodeJson(value))\n })\n multipartImages.forEach((image, index) => {\n if (image === undefined) return\n form.append(\"image[]\", imageBlob(image.data, image.mediaType), `image-${index}`)\n })\n if (multipartMask !== undefined)\n form.append(\"mask\", imageBlob(multipartMask.data, multipartMask.mediaType), \"mask\")\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: \"[multipart/form-data]\",\n headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), \"content-type\"),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }\n\n const references = sourceImages.map((image) => {\n if (image.type === \"bytes\") return { image_url: ImageInputs.dataUrl(image) }\n if (image.type === \"url\") return { image_url: image.url }\n if (image.type === \"file-id\") return { file_id: image.id }\n return undefined\n })\n if (references.some((image) => image === undefined))\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts image URLs, data URLs, bytes, and file IDs\")\n const maskReference =\n mask === undefined\n ? undefined\n : mask.type === \"bytes\"\n ? { image_url: ImageInputs.dataUrl(mask) }\n : mask.type === \"url\"\n ? { image_url: mask.url }\n : mask.type === \"file-id\"\n ? { file_id: mask.id }\n : undefined\n if (mask !== undefined && maskReference === undefined)\n return yield* ImageInputs.invalid(ADAPTER, \"OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs\")\n const requestBody = mergeJsonRecords(\n {\n model: request.model.id,\n prompt: request.prompt,\n images: references.length === 0 ? undefined : references,\n mask: maskReference,\n },\n nativeOptions(request.options),\n http?.body,\n ) as OpenAIImageBody\n const text = ProviderShared.encodeJson(requestBody)\n const headers = yield* Auth.toEffect(input.auth)({\n request,\n method: \"POST\",\n url,\n body: text,\n headers: Headers.fromInput({ ...input.headers, ...http?.headers }),\n })\n const response = yield* execute(\n HttpClientRequest.post(url).pipe(\n HttpClientRequest.setHeaders(headers),\n HttpClientRequest.bodyText(text, \"application/json\"),\n ),\n )\n return yield* parseResponse(response, request.options, http?.body)\n }),\n }\n return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: \"openai\", route, http: input.http })\n}\n\nconst parseResponse = Effect.fn(\"OpenAIImages.parseResponse\")(function* (\n response: HttpClientResponse.HttpClientResponse,\n options: OpenAIImageOptions | undefined,\n overlay: Record<string, unknown> | undefined,\n) {\n const payload = yield* response.json.pipe(\n Effect.mapError(() => invalidOutput(\"Failed to read the OpenAI Images response\")),\n )\n const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(\n Effect.mapError(() => invalidOutput(\"OpenAI Images returned an invalid response\")),\n )\n const requestBody = mergeJsonRecords(nativeOptions(options), overlay)\n const format =\n decoded.output_format ?? (typeof requestBody?.output_format === \"string\" ? requestBody.output_format : \"png\")\n const images = yield* Effect.forEach(decoded.data, (item, index) => {\n if (item.b64_json)\n return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(\n Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),\n Effect.map(\n (data) =>\n new GeneratedImage({\n mediaType: `image/${format}`,\n data,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n ),\n )\n if (item.url)\n return Effect.succeed(\n new GeneratedImage({\n mediaType: `image/${format}`,\n data: item.url,\n providerMetadata:\n item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },\n }),\n )\n return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))\n })\n if (images.length === 0) return yield* invalidOutput(\"OpenAI Images returned no images\")\n return new ImageResponse({\n images,\n usage:\n decoded.usage === undefined\n ? undefined\n : new Usage({\n inputTokens: decoded.usage.input_tokens,\n outputTokens: decoded.usage.output_tokens,\n totalTokens: decoded.usage.total_tokens,\n providerMetadata: { openai: decoded.usage },\n }),\n providerMetadata: { openai: { outputFormat: format } },\n })\n})\n\nconst imageBlob = (data: Uint8Array, mediaType: string) => {\n const buffer = new ArrayBuffer(data.byteLength)\n new Uint8Array(buffer).set(data)\n return new Blob([buffer], { type: mediaType })\n}\n\nexport const OpenAIImages = {\n model,\n} as const\n", | ||
| "import { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport type { Route, RouteDefaultsInput } from \"../route/client.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from \"../schema/index.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport * as OpenAIResponses from \"../protocols/openai-responses.js\"\nimport { withOpenAIOptions, type OpenAIProviderOptionsInput } from \"./openai-options.js\"\nimport { OpenAIImages, type OpenAIImageString } from \"../protocols/openai-images.js\"\n\nexport type { OpenAIOptionsInput, OpenAIResponseIncludable } from \"./openai-options.js\"\nexport type { OpenAIImageOptions } from \"../protocols/openai-images.js\"\n\nexport const id = ProviderID.make(\"openai\")\n\nexport const routes = [OpenAIResponses.route, OpenAIChat.route]\n\n// This provider facade wraps the lower-level Responses and Chat model factories\n// with OpenAI-specific conveniences: typed options, API-key sugar, env fallback,\n// and default option normalization.\nexport type Config = RouteDefaultsInput &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly queryParams?: Record<string, string>\n readonly providerOptions?: OpenAIProviderOptionsInput\n }\n\nexport interface ImageGenerationOptions {\n readonly action?: OpenAIImageString<\"auto\" | \"generate\" | \"edit\">\n readonly background?: OpenAIImageString<\"auto\" | \"opaque\" | \"transparent\">\n readonly inputFidelity?: OpenAIImageString<\"low\" | \"high\">\n readonly outputCompression?: number\n readonly outputFormat?: OpenAIImageString<\"png\" | \"jpeg\" | \"webp\">\n readonly partialImages?: number\n readonly quality?: OpenAIImageString<\"auto\" | \"low\" | \"medium\" | \"high\" | \"standard\" | \"hd\">\n readonly size?: OpenAIImageString<\n \"auto\" | \"256x256\" | \"512x512\" | \"1024x1024\" | \"1536x1024\" | \"1024x1536\" | \"1792x1024\" | \"1024x1792\"\n >\n}\n\nexport const imageGeneration = (options: ImageGenerationOptions = {}) =>\n ToolDefinition.make({\n name: \"image_generation\",\n description: \"Generate or edit an image using OpenAI's hosted image generation tool.\",\n inputSchema: { type: \"object\", properties: {}, additionalProperties: false },\n native: {\n openai: {\n type: \"image_generation\",\n action: options.action,\n background: options.background,\n input_fidelity: options.inputFidelity,\n output_compression: options.outputCompression,\n output_format: options.outputFormat,\n partial_images: options.partialImages,\n quality: options.quality,\n size: options.size,\n },\n },\n })\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly organization?: string\n readonly project?: string\n readonly queryParams?: Readonly<Record<string, string>>\n readonly providerOptions?: OpenAIProviderOptionsInput\n}\n\nconst auth = (options: ProviderAuthOption<\"optional\">) => AuthOptions.bearer(options, \"OPENAI_API_KEY\")\n\nconst defaults = (input: Config) => {\n const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input\n return rest\n}\n\nconst configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) =>\n route.with({\n auth: auth(input),\n endpoint: { baseURL: input.baseURL, query: input.queryParams },\n })\n\nexport const configure = (input: Config = {}) => {\n const responsesRoute = configuredRoute(OpenAIResponses.route, input)\n const chatRoute = configuredRoute(OpenAIChat.route, input)\n const modelDefaults = defaults(input)\n const responses = (id: string | ModelID) =>\n responsesRoute\n .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))\n .model<OpenAIProviderOptionsInput>({ id })\n const chat = (id: string | ModelID) =>\n chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })\n const image = (modelID: string | ModelID) =>\n OpenAIImages.model({\n id: modelID,\n auth: auth(input),\n baseURL: input.baseURL,\n headers: input.headers,\n http: mergeHttpOptions(\n input.http === undefined ? undefined : HttpOptions.make(input.http),\n input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),\n ),\n })\n\n return {\n id,\n model: responses,\n responses,\n chat,\n image,\n configure,\n }\n}\n\nexport const provider = configure()\n\nconst config = (settings: Settings): Config => {\n const headers = {\n ...(settings.organization === undefined ? {} : { \"OpenAI-Organization\": settings.organization }),\n ...(settings.project === undefined ? {} : { \"OpenAI-Project\": settings.project }),\n ...settings.headers,\n }\n return {\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: Object.keys(headers).length === 0 ? undefined : headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n queryParams: settings.queryParams === undefined ? undefined : { ...settings.queryParams },\n }\n}\n\nexport const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n return configure(config(settings)).responses(modelID)\n}\n\nexport const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) => configure(config(settings)).chat(modelID)\nexport const responses = provider.responses\nexport const chat = provider.chat\nexport const image = provider.image\n" | ||
| ], | ||
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| { | ||
| "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: 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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 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(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 => 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| "import { Cause, Effect, Exit, Option } from \"effect\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport { AppProcess } from \"@opencode-ai/util/process\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { createTimelineHost, type TimelineHost } from \"../../../ui/timeline\"\n\nconst integrationID = \"opencode\"\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n Commands.commands.console.commands.login,\n Effect.fn(\"cli.console.login\")(function* (input) {\n const timeline = yield* Effect.acquireRelease(\n Effect.promise(() => createTimelineHost()),\n (value) => request(() => value.close()).pipe(Effect.ignore),\n )\n const exit = yield* login(timeline, Option.getOrUndefined(input.url)).pipe(\n Effect.raceFirst(AppProcess.waitForAbort(timeline.signal)),\n Effect.exit,\n )\n if (Exit.isSuccess(exit)) return\n\n const cancelled = timeline.signal.aborted\n yield* request(() => timeline.failure(cancelled ? \"Authorization cancelled\" : errorMessage(exit.cause))).pipe(\n Effect.ignore,\n )\n process.exitCode = cancelled ? 130 : 1\n }),\n)\n\nconst login = Effect.fn(\"cli.console.login.run\")(function* (timeline: TimelineHost, server?: string) {\n yield* request(() => timeline.intro(\"Log in\"))\n yield* request(() => timeline.pending(\"Connecting to OpenCode...\"))\n\n const endpoint = yield* Service.ensure(yield* ServiceConfig.options())\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const found = yield* request((signal) => client.integration.get({ integrationID, location }, { signal }))\n const integration = yield* required(found.data, \"OpenCode Console integration is unavailable\")\n const method = yield* required(\n integration.methods.find((candidate) => candidate.type === \"oauth\"),\n \"OpenCode Console login is unavailable\",\n )\n\n yield* request(() => timeline.pending(\"Starting authorization...\"))\n const started = yield* request((signal) =>\n client.integration.oauth.connect(\n {\n integrationID,\n methodID: method.id,\n ...(server ? { answer: { server } } : {}),\n location,\n },\n { signal },\n ),\n )\n const attempt = started.data\n yield* Effect.addFinalizer(() =>\n request(() =>\n client.integration.oauth.cancel(\n { integrationID, attemptID: attempt.attemptID, location },\n { signal: AbortSignal.timeout(5_000) },\n ),\n ).pipe(Effect.ignore),\n )\n if (attempt.mode !== \"auto\") yield* Effect.fail(new Error(\"OpenCode Console requires a device login\"))\n\n yield* request(() => timeline.item(`Go to: ${attempt.url}`))\n yield* request(() => timeline.item(attempt.instructions))\n yield* request(async () => {\n const { default: open } = await import(\"open\")\n await open(attempt.url)\n }).pipe(Effect.ignore)\n yield* request(() => timeline.pending(\"Waiting for authorization...\"))\n\n const status = yield* waitForConsoleLogin(client, integrationID, attempt.attemptID)\n if (status.status === \"failed\") yield* Effect.fail(new Error(status.message))\n if (status.status === \"expired\") yield* Effect.fail(new Error(\"Device code expired\"))\n\n yield* request(() => timeline.success(\"Connected to OpenCode Console\"))\n yield* request(() => timeline.outro(\"Done\"))\n})\n\nconst waitForConsoleLogin = Effect.fn(\"cli.console.login.wait\")(function* (\n client: OpenCodeClient,\n integrationID: string,\n attemptID: string,\n) {\n while (true) {\n const response = yield* request((signal) =>\n client.integration.oauth.status({ integrationID, attemptID, location }, { signal }),\n )\n if (response.data.status !== \"pending\") return response.data\n yield* Effect.sleep(500)\n }\n})\n\nfunction request<A>(task: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({\n try: task,\n catch: (cause) => cause,\n })\n}\n\nfunction required<A>(value: A | null | undefined, message: string) {\n return value === null || value === undefined ? Effect.fail(new Error(message)) : Effect.succeed(value)\n}\n\nfunction errorMessage(cause: Cause.Cause<unknown>) {\n const error = Cause.squash(cause)\n if (error instanceof Error) return error.message\n if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\") {\n return error.message\n }\n return String(error)\n}\n" | ||
| ], | ||
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| ||
| "debugId": "77DCBA00A2BE659F64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/file-diff.ts", "../schema/src/session-revert.ts", "../schema/src/session-fork.ts", "../schema/src/instruction.ts", "../schema/src/session-inbox.ts", "../schema/src/session-event.ts"], | ||
| "sourcesContent": [ | ||
| "export * as FileDiff from \"./file-diff.js\"\n\nimport { Schema } from \"effect\"\nimport { NonNegativeInt, optional } from \"./schema.js\"\n\nexport const Info = Schema.Struct({\n file: Schema.String,\n patch: Schema.String,\n additions: NonNegativeInt,\n deletions: NonNegativeInt,\n status: Schema.Literals([\"added\", \"deleted\", \"modified\"]),\n}).annotate({ identifier: \"FileDiff.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\n/** V1 snapshot and persisted session diff shape. */\nexport const LegacyInfo = Schema.Struct({\n file: Schema.String.pipe(optional),\n patch: Schema.String.pipe(optional),\n additions: Schema.Finite,\n deletions: Schema.Finite,\n status: Schema.Literals([\"added\", \"deleted\", \"modified\"]).pipe(optional),\n}).annotate({ identifier: \"FileDiff.LegacyInfo\" })\nexport interface LegacyInfo extends Schema.Schema.Type<typeof LegacyInfo> {}\n", | ||
| "import { Schema, SchemaTransformation } from \"effect\"\nimport { FileDiff } from \"./file-diff.js\"\nimport { optional } from \"./schema.js\"\nimport { SessionMessage } from \"./session-message.js\"\nimport { Snapshot } from \"./snapshot.js\"\n\nexport interface Revert extends Schema.Schema.Type<typeof Revert> {}\nexport const Revert = Schema.Struct({\n messageID: SessionMessage.ID,\n /** Legacy V1 compatibility state. */\n partID: Schema.String.pipe(optional),\n snapshot: Snapshot.ID.pipe(optional),\n files: Schema.Array(FileDiff.Info).pipe(optional),\n}).annotate({ identifier: \"Session.Revert\" })\n\nconst FileDiffV1 = Schema.Struct({\n path: Schema.String,\n status: Schema.Literals([\"added\", \"modified\", \"deleted\"]),\n additions: Schema.Finite,\n deletions: Schema.Finite,\n patch: Schema.String,\n})\n\nexport interface RevertV1 extends Schema.Schema.Type<typeof RevertV1> {}\nexport const RevertV1 = Schema.Struct({\n messageID: SessionMessage.ID,\n partID: Schema.String.pipe(optional),\n snapshot: Schema.String.pipe(optional),\n diff: Schema.String.pipe(optional),\n files: Schema.Array(FileDiffV1).pipe(optional),\n}).annotate({ identifier: \"Session.RevertV1\" })\n\nconst PersistedCurrent = Revert.pipe(\n Schema.decodeTo(\n Schema.Struct({ source: Schema.tag(\"current\"), revert: Schema.toType(Revert) }),\n SchemaTransformation.transform({\n decode: (revert): { readonly source: \"current\"; readonly revert: Revert } => ({\n source: \"current\",\n revert,\n }),\n encode: (value) => value.revert,\n }),\n ),\n)\nconst PersistedLegacy = RevertV1.pipe(\n Schema.decodeTo(\n Schema.Struct({ source: Schema.tag(\"legacy\"), revert: Schema.toType(RevertV1) }),\n SchemaTransformation.transform({\n decode: (revert): { readonly source: \"legacy\"; readonly revert: RevertV1 } => ({\n source: \"legacy\",\n revert,\n }),\n encode: (value) => value.revert,\n }),\n ),\n)\n\n/** Storage decoder for revert state written before FileDiff became canonical. */\nexport const PersistedRevert = Schema.Union([PersistedCurrent, PersistedLegacy]).pipe(\n Schema.toTaggedUnion(\"source\"),\n Schema.decodeTo(\n Schema.toType(Revert),\n SchemaTransformation.transform({\n decode: (persisted): Revert => {\n if (persisted.source === \"current\") return persisted.revert\n return Revert.make({\n messageID: persisted.revert.messageID,\n partID: persisted.revert.partID,\n snapshot: persisted.revert.snapshot ? Snapshot.ID.make(persisted.revert.snapshot) : undefined,\n files: persisted.revert.files?.map((file) => ({\n file: file.path,\n status: file.status,\n additions: file.additions,\n deletions: file.deletions,\n patch: file.patch,\n })),\n })\n },\n encode: (revert): { readonly source: \"current\"; readonly revert: Revert } => ({\n source: \"current\",\n revert,\n }),\n }),\n ),\n Schema.annotate({ identifier: \"Session.Revert.Persisted\" }),\n)\n", | ||
| "export * as SessionFork from \"./session-fork.js\"\n\nimport { Schema } from \"effect\"\nimport { SessionMessage } from \"./session-message.js\"\n\nexport const Boundary = Schema.Union([\n Schema.Struct({ type: Schema.Literal(\"before\"), messageID: SessionMessage.ID }),\n Schema.Struct({ type: Schema.Literal(\"through\"), messageID: SessionMessage.ID }),\n]).annotate({ identifier: \"Session.ForkBoundary\" })\nexport type Boundary = typeof Boundary.Type\n\nexport const RequestBoundary = Schema.Union([\n Schema.Struct({ type: Schema.Literal(\"before\"), messageID: SessionMessage.ID }),\n Schema.Struct({ type: Schema.Literal(\"through\") }),\n]).annotate({ identifier: \"Session.ForkRequestBoundary\" })\nexport type RequestBoundary = typeof RequestBoundary.Type\n", | ||
| "export * as Instruction from \"./instruction.js\"\n\nimport { Schema } from \"effect\"\n\nexport const Key = Schema.String.check(Schema.isPattern(/^[a-z0-9][a-z0-9._-]*\\/[a-z0-9][a-z0-9._/-]*$/)).pipe(\n Schema.brand(\"Instruction.Key\"),\n)\nexport type Key = typeof Key.Type\n\nexport const Hash = Schema.String.check(Schema.isPattern(/^[a-f0-9]{64}$/)).pipe(Schema.brand(\"Instruction.Hash\"))\nexport type Hash = typeof Hash.Type\n\nexport const Values = Schema.Record(Key, Hash)\nexport type Values = Readonly<Record<string, Hash>>\n\nexport const Removed = Schema.Literal(\"removed\")\nexport type Removed = typeof Removed.Type\nexport const removed = Removed.make(\"removed\")\n\nexport const Delta = Schema.Record(Schema.String, Schema.Union([Hash, Removed]))\nexport type Delta = typeof Delta.Type\n", | ||
| "export * as SessionInbox from \"./session-inbox.js\"\n\nimport { Schema } from \"effect\"\nimport { Location } from \"./location.js\"\nimport { Project } from \"./project.js\"\nimport { Prompt } from \"./prompt.js\"\nimport { DateTimeUtcFromMillis, optional, RelativePath } from \"./schema.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { SessionMessage } from \"./session-message.js\"\n\nexport const Delivery = Schema.Literals([\"steer\", \"queue\"]).annotate({ identifier: \"Session.Inbox.Delivery\" })\nexport type Delivery = typeof Delivery.Type\n\nexport interface UserPayload extends Schema.Schema.Type<typeof UserPayload> {}\nexport const UserPayload = Schema.Struct({\n ...Prompt.fields,\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n}).annotate({ identifier: \"Session.Inbox.UserPayload\" })\n\nexport interface SyntheticPayload extends Schema.Schema.Type<typeof SyntheticPayload> {}\nexport const SyntheticPayload = Schema.Struct({\n text: Schema.String,\n description: Schema.String.pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n}).annotate({ identifier: \"Session.Inbox.SyntheticPayload\" })\n\nexport interface CompactionPayload extends Schema.Schema.Type<typeof CompactionPayload> {}\nexport const CompactionPayload = Schema.Struct({}).annotate({ identifier: \"Session.Inbox.CompactionPayload\" })\n\nexport interface MovePayload extends Schema.Schema.Type<typeof MovePayload> {}\nexport const MovePayload = Schema.Struct({\n location: Location.Ref,\n projectID: Project.ID,\n subpath: RelativePath.pipe(optional),\n}).annotate({ identifier: \"Session.Inbox.MovePayload\" })\n\nconst UserItem = Schema.Struct({ type: Schema.tag(\"user\"), payload: UserPayload, delivery: Delivery })\nconst SyntheticItem = Schema.Struct({ type: Schema.tag(\"synthetic\"), payload: SyntheticPayload, delivery: Delivery })\nconst CompactionItem = Schema.Struct({\n type: Schema.tag(\"compaction\"),\n payload: CompactionPayload,\n delivery: Delivery,\n})\nconst MoveItem = Schema.Struct({ type: Schema.tag(\"move\"), payload: MovePayload, delivery: Delivery })\n\nexport const Item = Schema.Union([UserItem, SyntheticItem, CompactionItem, MoveItem]).pipe(\n Schema.toTaggedUnion(\"type\"),\n Schema.annotate({ identifier: \"Session.Inbox.Item\" }),\n)\nexport type Item = typeof Item.Type\n\nconst Enqueued = {\n id: SessionMessage.ID,\n sessionID: SessionID,\n timeCreated: DateTimeUtcFromMillis,\n}\n\nexport interface User extends Schema.Schema.Type<typeof User> {}\nexport const User = Schema.Struct({ ...Enqueued, ...UserItem.fields }).annotate({ identifier: \"Session.Inbox.User\" })\n\nexport interface Synthetic extends Schema.Schema.Type<typeof Synthetic> {}\nexport const Synthetic = Schema.Struct({ ...Enqueued, ...SyntheticItem.fields }).annotate({\n identifier: \"Session.Inbox.Synthetic\",\n})\n\nexport interface Compaction extends Schema.Schema.Type<typeof Compaction> {}\nexport const Compaction = Schema.Struct({ ...Enqueued, ...CompactionItem.fields }).annotate({\n identifier: \"Session.Inbox.Compaction\",\n})\n\nexport interface Move extends Schema.Schema.Type<typeof Move> {}\nexport const Move = Schema.Struct({ ...Enqueued, ...MoveItem.fields }).annotate({ identifier: \"Session.Inbox.Move\" })\n\nexport const Info = Schema.Union([User, Synthetic, Compaction, Move]).pipe(\n Schema.toTaggedUnion(\"type\"),\n Schema.annotate({ identifier: \"Session.Inbox.Info\" }),\n)\nexport type Info = typeof Info.Type\n", | ||
| "export * as SessionEvent from \"./session-event.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { Event } from \"./event.js\"\nimport { FinishReason } from \"./llm.js\"\nimport { Content } from \"./tool.js\"\nimport { Model } from \"./model.js\"\nimport { NonNegativeInt, PositiveInt, RelativePath } from \"./schema.js\"\nimport { FileAttachment } from \"./prompt.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { Location } from \"./location.js\"\nimport { SessionMessage } from \"./session-message.js\"\nimport { Revert } from \"./session-revert.js\"\nimport { Shell as ShellSchema } from \"./shell.js\"\nimport { SessionError } from \"./session-error.js\"\nimport { Instruction } from \"./instruction.js\"\nimport { Agent } from \"./agent.js\"\nimport { Skill as SkillSchema } from \"./skill.js\"\nimport { Money } from \"./money.js\"\nimport { Snapshot } from \"./snapshot.js\"\nimport { TokenUsage } from \"./token-usage.js\"\nimport { SessionInbox } from \"./session-inbox.js\"\nimport { Project } from \"./project.js\"\nimport { SessionFork } from \"./session-fork.js\"\n\nexport { FileAttachment }\n\nexport const Source = Schema.Struct({\n start: NonNegativeInt,\n end: NonNegativeInt,\n text: Schema.String,\n}).annotate({\n identifier: \"Session.Event.Source\",\n})\nexport interface Source extends Schema.Schema.Type<typeof Source> {}\n\nconst Base = {\n sessionID: SessionID,\n}\n\nconst options = {\n durable: {\n aggregate: \"sessionID\",\n version: 1,\n },\n} as const\nexport const Created = Event.durable({\n type: \"session.created\",\n ...options,\n schema: {\n ...Base,\n projectID: Project.ID,\n location: Location.Ref,\n subpath: RelativePath.pipe(optional),\n parentID: SessionID.pipe(optional),\n slug: Schema.String,\n title: Schema.String.pipe(optional),\n agent: Agent.ID.pipe(optional),\n model: Model.Ref.pipe(optional),\n version: Schema.String,\n },\n})\nexport type Created = typeof Created.Type\n\nexport const AgentSelected = Event.durable({\n type: \"session.agent.selected\",\n ...options,\n schema: {\n ...Base,\n agent: Agent.ID,\n previous: Agent.ID.pipe(optional),\n },\n})\nexport type AgentSelected = typeof AgentSelected.Type\n\nexport const ModelSelected = Event.durable({\n type: \"session.model.selected\",\n ...options,\n schema: {\n ...Base,\n model: Model.Ref,\n previous: Model.Ref.pipe(optional),\n },\n})\nexport type ModelSelected = typeof ModelSelected.Type\n\nexport const Moved = Event.durable({\n type: \"session.moved\",\n ...options,\n schema: {\n ...Base,\n ...SessionInbox.MovePayload.fields,\n },\n})\nexport type Moved = typeof Moved.Type\n\nexport const Renamed = Event.durable({\n type: \"session.renamed\",\n ...options,\n schema: {\n ...Base,\n title: Schema.String,\n },\n})\nexport type Renamed = typeof Renamed.Type\n\nexport const UsageRecorded = Event.durable({\n type: \"session.usage.recorded\",\n ...options,\n schema: {\n ...Base,\n source: Schema.Literals([\"title\", \"compaction\"]),\n cost: Money.USD,\n tokens: TokenUsage.Info,\n },\n})\nexport type UsageRecorded = typeof UsageRecorded.Type\n\nexport const UsageUpdated = Event.ephemeral({\n type: \"session.usage.updated\",\n schema: {\n ...Base,\n cost: Money.USD,\n tokens: TokenUsage.Info,\n },\n})\nexport type UsageUpdated = typeof UsageUpdated.Type\n\nexport const Deleted = Event.durable({\n type: \"session.deleted\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: Base,\n})\nexport type Deleted = typeof Deleted.Type\n\nexport const Forked = Event.durable({\n type: \"session.forked\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...Base,\n parentID: SessionID,\n boundary: SessionFork.Boundary,\n instructions: Instruction.Values.pipe(optional),\n },\n})\nexport type Forked = typeof Forked.Type\n\nconst InboxRef = {\n ...Base,\n inboxID: SessionMessage.ID,\n}\n\nexport const InboxDelivered = Event.durable({\n type: \"session.inbox.delivered\",\n ...options,\n schema: InboxRef,\n})\nexport type InboxDelivered = typeof InboxDelivered.Type\n\nexport const InboxEnqueued = Event.durable({\n type: \"session.inbox.enqueued\",\n ...options,\n schema: {\n ...InboxRef,\n item: SessionInbox.Item,\n },\n})\nexport type InboxEnqueued = typeof InboxEnqueued.Type\n\nexport const InboxCancelled = Event.durable({\n type: \"session.inbox.cancelled\",\n ...options,\n schema: InboxRef,\n})\nexport type InboxCancelled = typeof InboxCancelled.Type\n\nexport const InboxDeliveryChanged = Event.durable({\n type: \"session.inbox.delivery.changed\",\n ...options,\n schema: { ...InboxRef, delivery: SessionInbox.Delivery },\n})\nexport type InboxDeliveryChanged = typeof InboxDeliveryChanged.Type\n\nexport namespace Execution {\n export const Started = Event.durable({ type: \"session.execution.started\", ...options, schema: Base })\n export type Started = typeof Started.Type\n\n export const Succeeded = Event.durable({ type: \"session.execution.succeeded\", ...options, schema: Base })\n export type Succeeded = typeof Succeeded.Type\n\n export const Failed = Event.durable({\n type: \"session.execution.failed\",\n ...options,\n schema: { ...Base, error: SessionError.Error },\n })\n export type Failed = typeof Failed.Type\n\n export const Interrupted = Event.durable({\n type: \"session.execution.interrupted\",\n ...options,\n schema: { ...Base, reason: Schema.Literals([\"user\", \"shutdown\", \"superseded\"]) },\n })\n export type Interrupted = typeof Interrupted.Type\n}\n\nexport const InstructionsUpdated = Event.durable({\n type: \"session.instructions.updated\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...Base,\n delta: Instruction.Delta,\n /**\n * The rendered chronological update shown to the model, frozen at emit time.\n * Absent for the initial baseline observation and for deltas that render empty.\n */\n text: Schema.String.pipe(optional),\n },\n})\nexport type InstructionsUpdated = typeof InstructionsUpdated.Type\n\nexport const Synthetic = Event.durable({\n type: \"session.synthetic\",\n ...options,\n schema: {\n ...Base,\n text: Schema.String,\n description: Schema.String.pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n },\n})\nexport type Synthetic = typeof Synthetic.Type\n\nexport namespace Skill {\n export const Activated = Event.durable({\n type: \"session.skill.activated\",\n ...options,\n schema: {\n ...Base,\n id: SkillSchema.ID,\n name: SkillSchema.Name,\n text: Schema.String,\n },\n })\n export type Activated = typeof Activated.Type\n}\n\nexport namespace Shell {\n export const Started = Event.durable({\n type: \"session.shell.started\",\n ...options,\n schema: {\n ...Base,\n shell: ShellSchema.Info,\n },\n })\n export type Started = typeof Started.Type\n\n export const Ended = Event.durable({\n type: \"session.shell.ended\",\n ...options,\n schema: {\n ...Base,\n shell: ShellSchema.Info,\n output: ShellSchema.Output,\n },\n })\n export type Ended = typeof Ended.Type\n}\n\nexport namespace Step {\n export const Started = Event.durable({\n type: \"session.step.started\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n agent: Agent.ID,\n model: Model.Ref,\n snapshot: Snapshot.ID.pipe(optional),\n },\n })\n export type Started = typeof Started.Type\n\n export const Ended = Event.durable({\n type: \"session.step.ended\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n finish: FinishReason,\n rawFinish: Schema.String.pipe(optional),\n providerState: SessionMessage.ProviderState.pipe(optional),\n cost: Money.USD,\n tokens: TokenUsage.Info,\n snapshot: Snapshot.ID.pipe(optional),\n files: Schema.Array(RelativePath).pipe(optional),\n },\n })\n export type Ended = typeof Ended.Type\n\n export const Failed = Event.durable({\n type: \"session.step.failed\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n error: SessionError.Error,\n finish: Schema.Literals([\"content-filter\"]).pipe(optional),\n rawFinish: Schema.String.pipe(optional),\n providerState: SessionMessage.ProviderState.pipe(optional),\n cost: Money.USD.pipe(optional),\n tokens: TokenUsage.Info.pipe(optional),\n snapshot: Snapshot.ID.pipe(optional),\n files: Schema.Array(RelativePath).pipe(optional),\n },\n })\n export type Failed = typeof Failed.Type\n}\n\nexport namespace Text {\n export const Started = Event.durable({\n type: \"session.text.started\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n },\n })\n export type Started = typeof Started.Type\n\n // Stream fragments are live-only; Text.Ended is the replayable full-value boundary.\n export const Delta = Event.ephemeral({\n type: \"session.text.delta\",\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n delta: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.text.ended\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n text: Schema.String,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Ended = typeof Ended.Type\n}\n\nexport namespace Reasoning {\n export const Started = Event.durable({\n type: \"session.reasoning.started\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Started = typeof Started.Type\n\n // Stream fragments are live-only; Reasoning.Ended is the replayable full-value boundary.\n export const Delta = Event.ephemeral({\n type: \"session.reasoning.delta\",\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n delta: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.reasoning.ended\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n ordinal: NonNegativeInt,\n text: Schema.String,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Ended = typeof Ended.Type\n}\n\nexport namespace Tool {\n const ToolBase = {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n id: Schema.String,\n }\n\n export namespace Input {\n export const Started = Event.durable({\n type: \"session.tool.input.started\",\n ...options,\n schema: {\n ...ToolBase,\n name: Schema.String,\n },\n })\n export type Started = typeof Started.Type\n\n // Stream fragments are live-only; Input.Ended is the replayable raw-input boundary.\n export const Delta = Event.ephemeral({\n type: \"session.tool.input.delta\",\n schema: {\n ...ToolBase,\n delta: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.tool.input.ended\",\n ...options,\n schema: {\n ...ToolBase,\n text: Schema.String,\n },\n })\n export type Ended = typeof Ended.Type\n }\n\n export const Called = Event.durable({\n type: \"session.tool.called\",\n ...options,\n schema: {\n ...ToolBase,\n input: Schema.Record(Schema.String, Schema.Unknown),\n executed: Schema.Boolean,\n state: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Called = typeof Called.Type\n\n /** Live replacement metadata for a running tool. */\n export const Progress = Event.ephemeral({\n type: \"session.tool.progress\",\n schema: {\n ...ToolBase,\n metadata: Schema.Record(Schema.String, Schema.Json),\n },\n })\n export type Progress = typeof Progress.Type\n\n /** Canonical terminal success: one non-empty model representation plus optional UI metadata. */\n export const Success = Event.durable({\n type: \"session.tool.success\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...ToolBase,\n content: Schema.NonEmptyArray(Content),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n executed: Schema.Boolean,\n resultState: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Success = typeof Success.Type\n\n /**\n * Canonical terminal failure: one error plus the final bounded snapshot of\n * partial progress. The event is self-contained; projection never reaches\n * into ephemeral progress history.\n */\n export const Failed = Event.durable({\n type: \"session.tool.failed\",\n durable: {\n aggregate: \"sessionID\",\n version: 2,\n },\n schema: {\n ...ToolBase,\n error: SessionError.Error,\n content: Schema.NonEmptyArray(Content).pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n executed: Schema.Boolean,\n resultState: SessionMessage.ProviderState.pipe(optional),\n },\n })\n export type Failed = typeof Failed.Type\n}\n\nexport const RetryScheduled = Event.durable({\n type: \"session.retry.scheduled\",\n ...options,\n schema: {\n ...Base,\n assistantMessageID: SessionMessage.ID,\n attempt: PositiveInt,\n at: NonNegativeInt,\n error: SessionError.Error,\n },\n})\nexport type RetryScheduled = typeof RetryScheduled.Type\n\nexport namespace Compaction {\n export const Started = Event.durable({\n type: \"session.compaction.started\",\n ...options,\n schema: {\n ...Base,\n reason: Schema.Literals([\"auto\", \"manual\"]),\n recent: Schema.String,\n inputID: SessionMessage.ID.pipe(optional),\n },\n })\n export type Started = typeof Started.Type\n\n export const Delta = Event.ephemeral({\n type: \"session.compaction.delta\",\n schema: {\n ...Base,\n text: Schema.String,\n },\n })\n export type Delta = typeof Delta.Type\n\n export const Ended = Event.durable({\n type: \"session.compaction.ended\",\n ...options,\n schema: {\n ...Base,\n reason: Started.data.fields.reason,\n text: Schema.String,\n recent: Schema.String,\n },\n })\n export type Ended = typeof Ended.Type\n\n export const Failed = Event.durable({\n type: \"session.compaction.failed\",\n ...options,\n schema: {\n ...Base,\n reason: Started.data.fields.reason,\n error: SessionError.Error,\n inputID: SessionMessage.ID.pipe(optional),\n },\n })\n export type Failed = typeof Failed.Type\n}\n\nexport namespace RevertEvent {\n export const Staged = Event.durable({\n type: \"session.revert.staged\",\n ...options,\n schema: { ...Base, revert: Revert },\n })\n export const Cleared = Event.durable({ type: \"session.revert.cleared\", ...options, schema: Base })\n export const Committed = Event.durable({\n type: \"session.revert.committed\",\n ...options,\n schema: { ...Base, to: SessionMessage.ID },\n })\n}\n\nexport const Definitions = Event.inventory(\n Created,\n AgentSelected,\n ModelSelected,\n Moved,\n Renamed,\n UsageUpdated,\n Deleted,\n Forked,\n InboxDelivered,\n InboxEnqueued,\n InboxCancelled,\n InboxDeliveryChanged,\n Execution.Started,\n Execution.Succeeded,\n Execution.Failed,\n Execution.Interrupted,\n InstructionsUpdated,\n Synthetic,\n Skill.Activated,\n Shell.Started,\n Shell.Ended,\n Step.Started,\n Step.Ended,\n Step.Failed,\n Text.Started,\n Text.Delta,\n Text.Ended,\n Reasoning.Started,\n Reasoning.Delta,\n Reasoning.Ended,\n Tool.Input.Started,\n Tool.Input.Delta,\n Tool.Input.Ended,\n Tool.Called,\n Tool.Progress,\n Tool.Success,\n Tool.Failed,\n RetryScheduled,\n Compaction.Started,\n Compaction.Delta,\n Compaction.Ended,\n Compaction.Failed,\n RevertEvent.Staged,\n RevertEvent.Cleared,\n RevertEvent.Committed,\n)\n\n// UsageRecorded is durable but internal: excluded from Definitions so it never reaches the public manifest.\nexport const DurableDefinitions = Event.inventory(\n ...Definitions.filter((definition) => definition.durability === \"durable\"),\n UsageRecorded,\n)\nexport const EphemeralDefinitions = Event.inventory(\n ...Definitions.filter((definition) => definition.durability === \"ephemeral\"),\n)\n\nexport const Durable = Schema.Union(DurableDefinitions, { mode: \"oneOf\" })\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Session.Event.Durable\" })\nexport type DurableEvent = typeof Durable.Type\n\nexport const All = Schema.Union([Durable, ...EphemeralDefinitions], { mode: \"oneOf\" }).pipe(\n Schema.toTaggedUnion(\"type\"),\n)\nexport type Event = typeof All.Type\nexport type Type = Event[\"type\"]\n" | ||
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| ||
| "debugId": "A9C3205298896A0264756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/durable-event-manifest.ts"], | ||
| "sourcesContent": [ | ||
| "export * as DurableEventManifest from \"./durable-event-manifest.js\"\n\nimport { Event } from \"./event.js\"\nimport { Worktree } from \"./worktree.js\"\nimport { SessionEvent } from \"./session-event.js\"\n\nexport const Durable = Event.durableMap([...SessionEvent.DurableDefinitions, Worktree.Event.Resolved])\n" | ||
| ], | ||
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| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
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| "debugId": "84CC11323E660DCD64756E2164756E21", | ||
| "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 const value = request.providerOptions?.labels\n const labels = ProviderShared.isRecord(value)\n ? Object.fromEntries(\n Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === \"string\"),\n )\n : undefined\n return { ...body, labels }\n})\n\nconst protocol = {\n ...Gemini.protocol,\n body: {\n ...Gemini.protocol.body,\n from: fromRequest,\n },\n}\n\nconst route = Route.make({\n id: \"google-vertex-gemini\",\n provider: id,\n providerMetadataKey: \"google\",\n protocol,\n endpoint: Endpoint.path(({ request }) => {\n const model = String(request.model.id)\n return `/${model.startsWith(\"endpoints/\") ? model : `models/${model}`}:streamGenerateContent?alt=sse`\n }),\n auth: Auth.none,\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: Config, modelID: string | ModelID) => {\n const {\n accessToken: _accessToken,\n apiKey: _apiKey,\n auth: _auth,\n baseURL,\n location: inputLocation,\n project: inputProject,\n ...rest\n } = input\n const apiKey = GoogleVertexShared.apiKey(input)\n const endpointModel = String(modelID).startsWith(\"endpoints/\")\n if (apiKey !== undefined && endpointModel)\n throw new Error(\"Google Vertex tuned models do not support Express Mode API keys\")\n const location = GoogleVertexShared.location(inputLocation, \"us-central1\")\n const project = GoogleVertexShared.project(inputProject)\n const endpoint =\n baseURL ??\n (apiKey\n ? \"https://aiplatform.googleapis.com/v1/publishers/google\"\n : `https://${GoogleVertexShared.host(location)}/v1beta1/projects/${GoogleVertexShared.requireProject(project)}/locations/${location}${endpointModel ? \"\" : \"/publishers/google\"}`)\n return route.with({\n ...rest,\n endpoint: { baseURL: endpoint },\n auth: apiKey === undefined ? GoogleVertexShared.oauth(input, project) : Auth.header(\"x-goog-api-key\", apiKey),\n })\n}\n\nexport const configure = (input: Config = {}) => {\n return {\n id,\n model: (modelID: string | ModelID) =>\n configuredRoute(input, modelID).model<GeminiProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = {\n id,\n configure,\n}\nexport const model: ProviderPackage.Definition<Settings, GeminiProviderOptionsInput>[\"model\"] = (modelID, settings) => {\n if (settings.apiKey !== undefined && settings.accessToken !== undefined)\n throw new Error(\"Google Vertex apiKey cannot be combined with accessToken or auth\")\n return configure({\n ...(settings.apiKey === undefined ? { accessToken: settings.accessToken } : { apiKey: settings.apiKey }),\n baseURL: settings.baseURL,\n headers: settings.headers === undefined ? undefined : { ...settings.headers },\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n location: settings.location,\n project: settings.project,\n providerOptions: settings.providerOptions,\n }).model(modelID)\n}\n" | ||
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| "debugId": "F625C9D39147203864756E2164756E21", | ||
| "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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| "debugId": "79A769C3410120FC64756E2164756E21", | ||
| "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 options = yield* ServiceConfig.options()\n const found = yield* Service.discover(options)\n const endpoint = found ?? (yield* Service.ensure(options))\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))\n const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))\n if (servers.length === 0) {\n process.stdout.write(\"No MCP servers configured\" + EOL)\n return\n }\n const width = Math.max(...servers.map((server) => server.name.length))\n const lines = servers.map(\n (server) => `${icon(server.status)} ${server.name.padEnd(width)} ${describe(server.status)}`,\n )\n process.stdout.write(lines.join(EOL) + EOL)\n }),\n)\n\nfunction icon(status: McpServer[\"status\"]) {\n switch (status.status) {\n case \"connected\":\n return \"✓\"\n case \"needs_auth\":\n return \"⚠\"\n case \"failed\":\n return \"✗\"\n default:\n return \"○\"\n }\n}\n\nfunction describe(status: McpServer[\"status\"]) {\n switch (status.status) {\n case \"needs_auth\":\n return \"needs authentication\"\n case \"failed\":\n return `failed: ${status.error}`\n default:\n return status.status\n }\n}\n" | ||
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| "debugId": "1F4753E53E164B6164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/auth/shared.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { OpenCode, type IntegrationInfo, type IntegrationMethod, type OpenCodeClient } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServerConnection } from \"../../../services/server-connection\"\n\nexport const location = { directory: process.cwd() }\n\nexport const createClient = Effect.fn(\"cli.auth.client\")(function* (input: ServerConnection.Args) {\n const server = yield* ServerConnection.resolve(input)\n return OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) })\n})\n\nexport function request<A>(run: (signal: AbortSignal) => Promise<A>) {\n return Effect.tryPromise({ try: run, catch: (cause) => cause })\n}\n\nexport const loadIntegrations = Effect.fn(\"cli.auth.integrations\")(function* (client: OpenCodeClient) {\n // The model endpoint is the existing public readiness boundary for the initial plugin generation.\n yield* request((signal) => client.model.default({ location }, { signal }))\n return yield* request((signal) => client.integration.list({ location }, { signal })).pipe(\n Effect.map((response) => response.data),\n )\n})\n\nexport const resolveIntegration = Effect.fn(\"cli.auth.resolve-integration\")(function* (\n integrations: IntegrationInfo[],\n target: string,\n) {\n const normalized = target.replace(/\\/+$/, \"\")\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": "AA64CFD1F276EAF364756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/plugin/discovery.ts", "../tui/src/util/config-directories.ts"], | ||
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| "import { readdir, stat } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { fileURLToPath, pathToFileURL } from \"node:url\"\nimport { isMissingPath, localProjectDirectory, projectConfigDirectories } from \"../util/config-directories\"\n\nconst extensions = new Set([\".cjs\", \".cts\", \".js\", \".jsx\", \".mjs\", \".mts\", \".ts\", \".tsx\"])\n\nexport async function tuiPluginDirectories(cwd: string, configDirectory: string) {\n const projectDirectory = await localProjectDirectory(cwd)\n const projectConfig = path.join(projectDirectory, \".opencode\")\n const directories = [configDirectory, ...projectConfigDirectories(projectDirectory, cwd)]\n const exists = await Promise.all(\n directories.map((directory) => {\n if (directory === configDirectory || directory === projectConfig) return true\n return stat(directory).then(\n (info) => info.isDirectory(),\n (error) => (isMissingPath(error) ? false : Promise.reject(error)),\n )\n }),\n )\n return directories.filter((_, index) => exists[index]).map((directory) => path.join(directory, \"plugins\", \"tui\"))\n}\n\nexport async function discoverTuiPlugins(directories: string[]) {\n return (\n await Promise.all(\n directories.map(async (directory) => {\n const entries = await readdir(directory, { withFileTypes: true }).catch((error: unknown) => {\n if (isMissingPath(error)) return []\n return Promise.reject(error)\n })\n return entries\n .filter((entry) => (entry.isFile() || entry.isSymbolicLink()) && extensions.has(path.extname(entry.name)))\n .map((entry) => path.join(directory, entry.name))\n .sort()\n }),\n )\n ).flat()\n}\n\nexport function localSource(spec: string, directory: string) {\n if (spec.startsWith(\"file://\")) return new URL(spec)\n if (spec.startsWith(\"./\") || spec.startsWith(\"../\") || path.isAbsolute(spec))\n return pathToFileURL(path.resolve(directory, spec))\n return undefined\n}\n\n// Key local plugin imports by a numeric source version so edited sources\n// re-import fresh instead of hitting the ESM cache. Bun ignores query params\n// when caching file:// URL imports, so bust with a plain path there; Node keys\n// its cache on the full URL. Fractional versions break Bun's runtime JSX/solid\n// plugin hooks, so always truncate them.\nexport function freshSpecifier(entrypoint: string, sourceVersion: number) {\n const version = Math.trunc(sourceVersion)\n if (typeof Bun !== \"undefined\") return `${fileURLToPath(entrypoint).replaceAll(\"\\\\\", \"/\")}?mtime=${version}`\n return `${entrypoint}?mtime=${version}`\n}\n", | ||
| "import path from \"node:path\"\nimport { stat } from \"node:fs/promises\"\n\nexport function configDirectories(config: string, cwd: string) {\n return [...new Set([config, ...ancestors(cwd).map((directory) => path.join(directory, \".opencode\"))])]\n}\n\nexport function projectConfigDirectories(project: string, cwd: string) {\n const directories = ancestors(cwd)\n return directories\n .slice(directories.indexOf(path.resolve(project)))\n .map((directory) => path.join(directory, \".opencode\"))\n}\n\nexport async function localProjectDirectory(cwd: string) {\n const directories = ancestors(cwd)\n const repositories = await Promise.all(\n directories.map((directory) =>\n Promise.all(\n [\".git\", \".hg\"].map((name) =>\n stat(path.join(directory, name)).then(\n () => true,\n (error) => (isMissingPath(error) ? false : Promise.reject(error)),\n ),\n ),\n ).then((matches) => matches.some(Boolean)),\n ),\n )\n return directories.findLast((_, index) => repositories[index]) ?? path.resolve(cwd)\n}\n\nexport function isMissingPath(error: unknown) {\n if (!error || typeof error !== \"object\") return false\n const code = Reflect.get(error, \"code\")\n return code === \"ENOENT\" || code === \"ENOTDIR\"\n}\n\nfunction ancestors(cwd: string) {\n const directories: string[] = []\n for (let current = path.resolve(cwd); ; current = path.dirname(current)) {\n directories.push(current)\n if (path.dirname(current) === current) break\n }\n return directories.reverse()\n}\n" | ||
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| "debugId": "0E927AF81A416EAD64756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": [], | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/export.ts"], | ||
| "sourcesContent": [ | ||
| "import { autocomplete, cancel, intro, isCancel, log, outro } from \"@clack/prompts\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, Option } from \"effect\"\nimport { EOL } from \"node:os\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\nimport { errorMessage } from \"../../ui/prompt\"\n\nexport default Runtime.handler(\n Commands.commands.export,\n Effect.fn(\"cli.export\")((input) =>\n Effect.gen(function* () {\n const requested = Option.getOrUndefined(input.session)\n if (!requested && !process.stdin.isTTY) {\n yield* Effect.fail(new Error(\"Pass a session ID when running without an interactive terminal\"))\n }\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n const client = OpenCode.make({\n baseUrl: server.endpoint.url,\n headers: Service.headers(server.endpoint),\n })\n const sessionID = requested\n ? requested\n : yield* Effect.gen(function* () {\n intro(\"Export session\", { output: process.stderr })\n const location = yield* Effect.tryPromise({\n try: () => client.location.get({ location: { directory: process.cwd() } }),\n catch: (cause) => cause,\n })\n const page = yield* Effect.tryPromise({\n try: () =>\n client.session.list({\n directory: location.directory,\n workspace: location.workspaceID,\n parentID: null,\n order: \"desc\",\n limit: 50,\n }),\n catch: (cause) => cause,\n })\n if (page.data.length === 0) {\n log.error(\"No sessions found\", { output: process.stderr })\n outro(\"Done\", { output: process.stderr })\n return undefined\n }\n const selected = yield* Effect.tryPromise({\n try: () =>\n autocomplete({\n message: \"Select session to export\",\n maxItems: 10,\n options: page.data.map((session) => ({\n label: session.title,\n value: session.id,\n hint: `${new Date(session.time.updated).toLocaleString()} - ${session.id.slice(-8)}`,\n })),\n output: process.stderr,\n }),\n catch: (cause) => cause,\n })\n if (isCancel(selected)) {\n cancel(\"Cancelled\", { output: process.stderr })\n process.exitCode = 130\n return undefined\n }\n outro(\"Exporting session...\", { output: process.stderr })\n return selected\n })\n if (!sessionID) return\n const data = yield* Effect.tryPromise({\n try: () => client.session.export({ sessionID, sanitize: input.sanitize }),\n catch: (cause) => cause,\n })\n process.stdout.write(JSON.stringify(data, null, 2) + EOL)\n }).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n ),\n)\n" | ||
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| "debugId": "6A39C4A54E5E776364756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../protocol/src/client.ts"], | ||
| "sourcesContent": [ | ||
| "import { InvalidRequestError, SessionNotFoundError } from \"./errors.js\"\nimport { makeDefaultApi } from \"./api.js\"\nimport type { Api } from \"./api.js\"\nimport type { Context } from \"effect\"\nimport { HttpApiMiddleware } from \"effect/unstable/httpapi\"\nimport type { EventGroup } from \"./groups/event.js\"\n\nclass LocationMiddleware extends HttpApiMiddleware.Service<LocationMiddleware>()(\n \"@opencode-ai/client/LocationMiddleware\",\n) {}\n\nclass SessionLocationMiddleware extends HttpApiMiddleware.Service<SessionLocationMiddleware>()(\n \"@opencode-ai/client/SessionLocationMiddleware\",\n { error: [InvalidRequestError, SessionNotFoundError] },\n) {}\n\ntype ClientApiShape = Api<\n Context.Service.Identifier<typeof LocationMiddleware>,\n Context.Service.Shape<typeof LocationMiddleware>,\n Context.Service.Identifier<typeof SessionLocationMiddleware>,\n Context.Service.Shape<typeof SessionLocationMiddleware>,\n Context.Service.Identifier<typeof SessionLocationMiddleware>,\n Context.Service.Shape<typeof SessionLocationMiddleware>,\n typeof EventGroup\n>\n\nexport const ClientApi: ClientApiShape = makeDefaultApi({\n locationMiddleware: LocationMiddleware,\n // The real server uses a form-specific middleware with an undocumented `global` sentinel branch.\n // The generated client only needs a middleware identity for API typing.\n formLocationMiddleware: SessionLocationMiddleware,\n sessionLocationMiddleware: SessionLocationMiddleware,\n})\n\nexport const groupNames = {\n \"server.health\": \"health\",\n \"server.server\": \"server\",\n \"server.debug\": \"debug\",\n \"server.migration\": \"migration\",\n \"server.location\": \"location\",\n \"server.agent\": \"agent\",\n \"server.plugin\": \"plugin\",\n \"server.session\": \"session\",\n \"server.message\": \"message\",\n \"server.model\": \"model\",\n \"server.generate\": \"generate\",\n \"server.provider\": \"provider\",\n \"server.integration\": \"integration\",\n \"server.websearch\": \"websearch\",\n \"server.credential\": \"credential\",\n \"server.form\": \"form\",\n \"server.permission\": \"permission\",\n \"server.fs\": \"file\",\n \"server.command\": \"command\",\n \"server.skill\": \"skill\",\n \"server.event\": \"event\",\n \"server.pty\": \"pty\",\n \"server.shell\": \"shell\",\n \"server.mcp\": \"mcp\",\n \"server.reference\": \"reference\",\n \"server.project\": \"project\",\n \"server.worktree\": \"worktree\",\n \"server.vcs\": \"vcs\",\n \"server.config\": \"config\",\n} as const\n\nexport const promiseOmitEndpoints = new Set([\"pty.connect\"])\nexport const effectOmitEndpoints = new Set([\"fs.read\", \"pty.connect\"])\n" | ||
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| "debugId": "967C9B19F4CEF24664756E2164756E21", | ||
| "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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| "debugId": "35DD72D5FFCECBFB64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/permission-saved.ts"], | ||
| "sourcesContent": [ | ||
| "export * as PermissionSaved from \"./permission-saved.js\"\n\nimport { Schema } from \"effect\"\nimport { ascending } from \"./identifier.js\"\nimport { ProjectID } from \"./project-id.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.pipe(\n Schema.brand(\"PermissionSaved.ID\"),\n statics((schema) => ({ create: () => schema.make(\"psv_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Info = Schema.Struct({\n id: ID,\n projectID: ProjectID,\n action: Schema.String,\n resource: Schema.String,\n}).annotate({ identifier: \"PermissionSaved.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n" | ||
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| "debugId": "04826F0EEA1B745764756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/persistence.ts", "../tui/src/util/record.ts", "../tui/src/model-preference.ts"], | ||
| "sourcesContent": [ | ||
| "import path from \"path\"\nimport { appendFile, mkdir, readFile, rename, rm, writeFile } from \"fs/promises\"\n\nexport function readText(filePath: string) {\n return readFile(filePath, \"utf8\")\n}\n\nexport async function readJson<T>(filePath: string) {\n return JSON.parse(await readFile(filePath, \"utf8\")) as T\n}\n\nexport async function writeText(filePath: string, content: string) {\n await mkdir(path.dirname(filePath), { recursive: true })\n await writeFile(filePath, content)\n}\n\nexport async function appendText(filePath: string, content: string) {\n await mkdir(path.dirname(filePath), { recursive: true })\n await appendFile(filePath, content)\n}\n\nexport async function writeJsonAtomic(filePath: string, value: unknown) {\n await mkdir(path.dirname(filePath), { recursive: true })\n const temporary = `${filePath}.${process.pid}.${crypto.randomUUID()}.tmp`\n await writeFile(temporary, JSON.stringify(value)).catch(async (error) => {\n await rm(temporary, { force: true }).catch(() => undefined)\n throw error\n })\n await rename(temporary, filePath).catch(async (error) => {\n await rm(temporary, { force: true }).catch(() => undefined)\n throw error\n })\n}\n", | ||
| "export function isRecord(value: unknown): value is Record<string, unknown> {\n return !!value && typeof value === \"object\" && !Array.isArray(value)\n}\n", | ||
| "import { readJson, writeJsonAtomic } from \"./util/persistence\"\nimport { isRecord } from \"./util/record\"\n\nexport type ModelPreferenceModel = {\n providerID: string\n modelID: string\n}\n\nexport type ModelPreference = {\n recent: ModelPreferenceModel[]\n favorite: ModelPreferenceModel[]\n variant: Record<string, string | undefined>\n}\n\nexport type ModelPreferenceDocument = Record<string, unknown> & ModelPreference\n\nfunction models(value: unknown) {\n if (!Array.isArray(value)) return []\n return value.flatMap((item): ModelPreferenceModel[] => {\n if (!isRecord(item)) return []\n if (typeof item.providerID !== \"string\" || item.providerID.length === 0) return []\n if (typeof item.modelID !== \"string\" || item.modelID.length === 0) return []\n return [{ providerID: item.providerID, modelID: item.modelID }]\n })\n}\n\nfunction variants(value: unknown) {\n if (!isRecord(value)) return {}\n return Object.fromEntries(\n Object.entries(value).flatMap(([key, item]) => {\n if (key.length === 0 || typeof item !== \"string\" || item.length === 0) return []\n const variant = normalizeModelVariant(item)\n return variant === undefined ? [] : ([[key, variant]] as const)\n }),\n )\n}\n\nexport function normalizeModelVariant(value: string | undefined) {\n return value === \"default\" ? undefined : value\n}\n\nexport function modelPreferenceKey(model: ModelPreferenceModel) {\n return `${model.providerID}/${model.modelID}`\n}\n\nexport function cycleModelVariant(current: string | undefined, variants: string[]) {\n const named = variants.filter((variant) => variant !== \"default\")\n if (named.length === 0) return undefined\n const value = normalizeModelVariant(current)\n if (value === undefined) return named[0]\n const index = named.indexOf(value)\n if (index === -1 || index === named.length - 1) return undefined\n return named[index + 1]\n}\n\nexport function decodeModelPreference(value: unknown): ModelPreferenceDocument {\n const root = isRecord(value) ? value : {}\n return {\n ...root,\n recent: models(root.recent),\n favorite: models(root.favorite),\n variant: variants(root.variant),\n }\n}\n\nfunction preference(value: ModelPreferenceDocument): ModelPreference {\n return {\n recent: value.recent,\n favorite: value.favorite,\n variant: value.variant,\n }\n}\n\nfunction patch(value: Partial<ModelPreference>) {\n return {\n ...(value.recent === undefined ? {} : { recent: models(value.recent) }),\n ...(value.favorite === undefined ? {} : { favorite: models(value.favorite) }),\n ...(value.variant === undefined ? {} : { variant: variants(value.variant) }),\n }\n}\n\nexport function createModelPreferenceRepository(filePath: string) {\n const state = {\n pending: Promise.resolve(),\n }\n const read = () =>\n readJson<unknown>(filePath)\n .then(decodeModelPreference)\n .catch(() => decodeModelPreference(undefined))\n\n function update(change: (current: ModelPreference) => Partial<ModelPreference>) {\n const result = state.pending.then(async () => {\n const current = await read()\n const next = { ...current, ...patch(change(preference(current))) }\n await writeJsonAtomic(filePath, next)\n })\n state.pending = result.catch(() => undefined)\n return result\n }\n\n function load() {\n return state.pending.then(read).then(preference)\n }\n\n return {\n load,\n patch(value: Partial<ModelPreference>) {\n return update(() => value)\n },\n async resolveVariant(model: ModelPreferenceModel) {\n return (await load()).variant[modelPreferenceKey(model)]\n },\n saveVariant(model: ModelPreferenceModel, value: string | undefined) {\n const key = modelPreferenceKey(model)\n const next = normalizeModelVariant(value)\n return update((current) => {\n const variant = { ...current.variant }\n if (next === undefined) delete variant[key]\n if (next !== undefined) variant[key] = next\n return { variant }\n })\n },\n }\n}\n" | ||
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| "debugId": "7191DEBCB95CABDC64756E2164756E21", | ||
| "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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| "debugId": "530789E7A655E2C364756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/session.ts"], | ||
| "sourcesContent": [ | ||
| "import type { ModelInfo, SessionMessageAssistant, SessionMessageInfo } from \"@opencode-ai/client\"\nimport { Locale } from \"./locale\"\n\ntype SessionNode = {\n id: string\n parentID?: string | null\n}\n\nexport function sessionFamily<T extends SessionNode>(sessions: readonly T[], sessionID: string) {\n const byID = new Map(sessions.map((session) => [session.id, session]))\n const current = byID.get(sessionID)\n if (!current) return []\n\n const children = new Map<string, T[]>()\n sessions.forEach((session) => {\n if (!session.parentID) return\n const group = children.get(session.parentID)\n if (group) group.push(session)\n else children.set(session.parentID, [session])\n })\n\n function root(session: T): T {\n const parent = session.parentID ? byID.get(session.parentID) : undefined\n return parent ? root(parent) : session\n }\n\n function walk(parentID: string, ancestors: boolean[]): Array<{ session: T; prefix: string }> {\n const group = children.get(parentID) ?? []\n return group.flatMap((session, index) => {\n const last = index === group.length - 1\n const prefix =\n ancestors.length === 0\n ? \"\"\n : ancestors\n .slice(1)\n .map((ancestor) => (ancestor ? \" \" : \"│ \"))\n .join(\"\") + (last ? \"└─ \" : \"├─ \")\n return [{ session, prefix }, ...walk(session.id, [...ancestors, last])]\n })\n }\n\n return walk(root(current).id, [])\n}\n\nexport function lastAssistantWithUsage(messages: ReadonlyArray<SessionMessageInfo>, boundary?: string) {\n const boundaryIndex = boundary ? messages.findIndex((message) => message.id === boundary) : -1\n if (boundary && boundaryIndex === -1) return undefined\n const end = boundaryIndex === -1 ? messages.length : boundaryIndex\n const compactionIndex = messages.findLastIndex(\n (message, index) => message.type === \"compaction\" && message.status === \"completed\" && index < end,\n )\n return messages.findLast(\n (message, index): message is SessionMessageAssistant & { tokens: NonNullable<SessionMessageAssistant[\"tokens\"]> } =>\n message.type === \"assistant\" && message.tokens !== undefined && index > compactionIndex && index < end,\n )\n}\n\nexport function contextUsage(\n messages: ReadonlyArray<SessionMessageInfo>,\n models: ReadonlyArray<ModelInfo> | undefined,\n boundary?: string,\n) {\n const last = lastAssistantWithUsage(messages, boundary)\n if (!last) return\n const tokens =\n last.tokens.input + last.tokens.output + last.tokens.reasoning + last.tokens.cache.read + last.tokens.cache.write\n if (tokens <= 0) return\n const model = models?.find((model) => model.providerID === last.model.providerID && model.id === last.model.id)\n return {\n tokens,\n percent: model?.limit.context ? Math.round((tokens / model.limit.context) * 100) : undefined,\n }\n}\n\nexport function formatContextUsage(tokens: number, percent?: number) {\n const value = Locale.number(tokens)\n return percent === undefined ? value : `${value} (${percent}%)`\n}\n" | ||
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| "debugId": "771B12581117C15C64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/prompt/display.ts"], | ||
| "sourcesContent": [ | ||
| "import { stringWidth } from \"../util/string-width\"\n\nconst graphemes = new Intl.Segmenter(undefined, { granularity: \"grapheme\" })\n\nexport function promptOffsetWidth(value: string) {\n let width = 0\n for (const part of graphemes.segment(value)) {\n // Textarea offsets count newlines as one position; terminal width counts them as zero.\n width += part.segment === \"\\n\" ? 1 : stringWidth(part.segment)\n }\n return width\n}\n\nfunction displayOffsetIndex(value: string, offset: number) {\n if (offset <= 0) return 0\n\n let width = 0\n for (const part of graphemes.segment(value)) {\n const next = width + promptOffsetWidth(part.segment)\n if (next > offset) return part.index\n width = next\n }\n\n return value.length\n}\n\nexport function displaySlice(value: string, start = 0, end = promptOffsetWidth(value)) {\n return value.slice(displayOffsetIndex(value, start), displayOffsetIndex(value, end))\n}\n\nexport function displayCharAt(value: string, offset: number) {\n let width = 0\n for (const part of graphemes.segment(value)) {\n const next = width + promptOffsetWidth(part.segment)\n if (offset === width || offset < next) return part.segment\n width = next\n }\n}\n\nexport function mentionTriggerIndex(value: string, offset = promptOffsetWidth(value)) {\n const text = displaySlice(value, 0, offset)\n const index = text.lastIndexOf(\"@\")\n if (index === -1) return\n\n const before = index === 0 ? undefined : text[index - 1]\n const query = text.slice(index)\n if ((before === undefined || /\\s/.test(before)) && !/\\s/.test(query)) {\n return promptOffsetWidth(text.slice(0, index))\n }\n}\n\nexport function slashTriggerIndex(value: string, offset = promptOffsetWidth(value)) {\n const text = displaySlice(value, 0, offset)\n for (let index = text.lastIndexOf(\"/\"); index >= 0; index = text.lastIndexOf(\"/\", index - 1)) {\n const before = index === 0 ? undefined : text[index - 1]\n const query = text.slice(index)\n if (before !== undefined && !/\\s/.test(before)) continue\n if (/\\s/.test(query) || query.slice(1).includes(\"/\")) return\n return promptOffsetWidth(text.slice(0, index))\n }\n}\n" | ||
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| "debugId": "23EA4B671FC6D61964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/openai-options.ts", "../ai/src/protocols/openai-chat.ts"], | ||
| "sourcesContent": [ | ||
| "import { OpenResponsesOptions } from \"./open-responses-options.js\"\n\nexport const OpenAIReasoningEfforts = OpenResponsesOptions.ReasoningEfforts\nexport type OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosities = OpenResponsesOptions.TextVerbosities\nexport type OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity\n\n// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this\n// in lockstep with `openai-node/src/resources/responses/responses.ts`.\nexport const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables\nexport type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable\nexport const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers\nexport type OpenAIServiceTier = OpenResponsesOptions.ServiceTier\n\nexport const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort\nexport const OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity\nexport const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema\nexport const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema\n\nexport const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === \"string\"\n\nexport const resolve = OpenResponsesOptions.resolve\n\nexport * as OpenAIOptions from \"./openai-options.js\"\n", | ||
| "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n Usage,\n type FinishReason,\n type FinishReasonDetails,\n type CacheHint,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ReasoningPart,\n type TextPart,\n type ToolCallPart,\n type ToolDefinition,\n} from \"../schema/index.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { OpenAIOptions } from \"./utils/openai-options.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"openai-chat\"\nconst RESERVED_REASONING_FIELDS = new Set([\"role\", \"content\", \"refusal\", \"tool_calls\"])\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = \"/chat/completions\"\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\n// The body schema is the provider-native JSON body. `fromRequest` below builds\n// this shape from the common `LLMRequest`, then `Route.make` validates and\n// JSON-encodes it before transport.\nconst OpenAIChatCacheControl = Schema.Struct({\n type: Schema.Literal(\"ephemeral\"),\n ttl: Schema.optional(Schema.String),\n})\n\nconst OpenAIChatFunction = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n parameters: JsonObject,\n})\n\nconst OpenAIChatTool = Schema.Struct({\n type: Schema.tag(\"function\"),\n function: OpenAIChatFunction,\n cache_control: Schema.optional(OpenAIChatCacheControl),\n})\ntype OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>\n\nconst OpenAIChatAssistantToolCall = Schema.Struct({\n id: Schema.String,\n type: Schema.tag(\"function\"),\n function: Schema.Struct({\n name: Schema.String,\n arguments: Schema.String,\n }),\n})\ntype OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>\n\n// Intentionally omit Gemini's provider-specific `extra_content.google.thought_signature`\n// extension until direct Google OpenAI-compatible routing is supported here:\n// https://github.com/vercel/ai/issues/11590\n// https://github.com/vercel/ai/pull/11745\n// https://ai.google.dev/gemini-api/docs/thought-signatures#openai\n\nconst OpenAIChatUserContent = Schema.Union([\n Schema.Struct({\n type: Schema.Literal(\"text\"),\n text: Schema.String,\n cache_control: Schema.optional(OpenAIChatCacheControl),\n }),\n Schema.Struct({\n type: Schema.Literal(\"image_url\"),\n image_url: Schema.Struct({ url: Schema.String }),\n }),\n])\n\nconst OpenAIChatMessage = Schema.Union([\n Schema.Struct({\n role: Schema.Literal(\"system\"),\n content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n }),\n Schema.Struct({\n role: Schema.Literal(\"user\"),\n content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),\n }),\n Schema.StructWithRest(\n Schema.Struct({\n role: Schema.Literal(\"assistant\"),\n content: Schema.NullOr(Schema.String),\n tool_calls: optionalArray(OpenAIChatAssistantToolCall),\n reasoning_content: Schema.optional(Schema.String),\n reasoning: Schema.optional(Schema.String),\n reasoning_text: Schema.optional(Schema.String),\n reasoning_details: Schema.optional(Schema.Unknown),\n cache_control: Schema.optional(OpenAIChatCacheControl),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n ),\n Schema.Struct({\n role: Schema.Literal(\"tool\"),\n tool_call_id: Schema.String,\n content: Schema.String,\n cache_control: Schema.optional(OpenAIChatCacheControl),\n }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>\n\nconst OpenAIChatToolChoice = Schema.Union([\n Schema.Literals([\"auto\", \"none\", \"required\"]),\n Schema.Struct({\n type: Schema.tag(\"function\"),\n function: Schema.Struct({ name: Schema.String }),\n }),\n])\n\nexport const bodyFields = {\n model: Schema.String,\n messages: Schema.Array(OpenAIChatMessage),\n tools: optionalArray(OpenAIChatTool),\n tool_choice: Schema.optional(OpenAIChatToolChoice),\n stream: Schema.Literal(true),\n stream_options: Schema.optional(Schema.Struct({ include_usage: Schema.Boolean })),\n store: Schema.optional(Schema.Boolean),\n prompt_cache_key: Schema.optional(Schema.String),\n reasoning_effort: Schema.optional(OpenAIOptions.OpenAIReasoningEffort),\n max_completion_tokens: Schema.optional(Schema.Number),\n max_tokens: Schema.optional(Schema.Number),\n temperature: Schema.optional(Schema.Number),\n top_p: Schema.optional(Schema.Number),\n frequency_penalty: Schema.optional(Schema.Number),\n presence_penalty: Schema.optional(Schema.Number),\n seed: Schema.optional(Schema.Number),\n stop: optionalArray(Schema.String),\n}\nconst OpenAIChatBody = Schema.Struct(bodyFields)\nexport type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>\n\n// =============================================================================\n// Streaming Event Schema\n// =============================================================================\n// The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the\n// byte stream into strings, then `Protocol.jsonEvent` decodes each string into\n// this provider-native event shape.\nconst OpenAIChatUsage = Schema.StructWithRest(\n Schema.Struct({\n prompt_tokens: optionalNull(Schema.Number),\n completion_tokens: optionalNull(Schema.Number),\n total_tokens: optionalNull(Schema.Number),\n prompt_tokens_details: optionalNull(\n Schema.StructWithRest(\n Schema.Struct({\n cached_tokens: optionalNull(Schema.Number),\n cache_write_tokens: optionalNull(Schema.Number),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n ),\n ),\n completion_tokens_details: optionalNull(\n Schema.StructWithRest(\n Schema.Struct({\n reasoning_tokens: optionalNull(Schema.Number),\n accepted_prediction_tokens: optionalNull(Schema.Number),\n rejected_prediction_tokens: optionalNull(Schema.Number),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n ),\n ),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatToolCallDeltaFunction = Schema.Struct({\n name: optionalNull(Schema.String),\n arguments: optionalNull(Schema.String),\n})\n\nconst OpenAIChatToolCallDelta = Schema.Struct({\n index: optionalNull(Schema.Number),\n id: optionalNull(Schema.String),\n function: optionalNull(OpenAIChatToolCallDeltaFunction),\n})\ntype OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>\n\nconst OpenAIChatDelta = Schema.StructWithRest(\n Schema.Struct({\n content: optionalNull(Schema.String),\n refusal: optionalNull(Schema.String),\n reasoning_content: optionalNull(Schema.String),\n reasoning: optionalNull(Schema.String),\n reasoning_text: optionalNull(Schema.String),\n reasoning_details: optionalNull(Schema.Unknown),\n tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\n\nconst OpenAIChatChoice = Schema.Struct({\n delta: optionalNull(OpenAIChatDelta),\n finish_reason: optionalNull(Schema.String),\n native_finish_reason: optionalNull(Schema.String),\n})\n\nconst OpenAIChatError = Schema.Struct({\n code: optionalNull(Schema.Union([Schema.String, Schema.Number])),\n message: Schema.String,\n})\n\nexport const OpenAIChatEvent = Schema.Struct({\n choices: optionalNull(Schema.Array(OpenAIChatChoice)),\n usage: optionalNull(OpenAIChatUsage),\n error: optionalNull(OpenAIChatError),\n})\nexport type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>\ntype OpenAIChatRequestMessage = LLMRequest[\"messages\"][number]\n\ninterface PendingToolDelta {\n readonly id?: string\n readonly name?: string\n readonly input: string\n}\n\nexport interface ParserState {\n readonly tools: ToolStream.State<number>\n readonly pendingTools: Partial<Record<number, PendingToolDelta>>\n readonly toolCallEvents: ReadonlyArray<LLMEvent>\n readonly usage?: Usage\n readonly finishReason?: FinishReasonDetails\n readonly lifecycle: Lifecycle.State\n readonly reasoningField?: string\n readonly reasoningDetails: Array<unknown>\n readonly reasoningDetailsObserved: boolean\n readonly reasoningEmitted: boolean\n readonly latestToolIndex?: number\n readonly nextToolIndex: number\n}\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Lowering is the only place that knows how common LLM messages map onto the\n// OpenAI Chat wire format. Keep provider quirks here instead of leaking native\n// fields into `LLMRequest`.\ninterface LoweringOptions {\n readonly cacheControl?: (\n cache: CacheHint | undefined,\n ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined\n}\n\nconst lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema, options: LoweringOptions): OpenAIChatTool => ({\n type: \"function\",\n function: {\n name: tool.name,\n description: tool.description,\n parameters: ToolSchemaProjection.openAI(inputSchema),\n },\n cache_control: options.cacheControl?.(tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"OpenAI Chat\", toolChoice, {\n auto: () => \"auto\" as const,\n none: () => \"none\" as const,\n required: () => \"required\" as const,\n tool: (name) => ({ type: \"function\" as const, function: { name } }),\n })\n\nconst lowerToolCall = (part: ToolCallPart): OpenAIChatAssistantToolCall => ({\n id: part.id,\n type: \"function\",\n function: {\n name: part.name,\n arguments: ProviderShared.encodeJson(part.input),\n },\n})\n\nconst lowerMedia = Effect.fn(\"OpenAIChat.lowerMedia\")(function* (part: MediaPart) {\n const media = ProviderShared.normalizeMedia(part)\n if (!media.mime.startsWith(\"image/\"))\n return yield* ProviderShared.invalidRequest(`OpenAI Chat does not support media type ${part.mediaType}`)\n return { type: \"image_url\" as const, image_url: { url: media.dataUrl } }\n})\n\nconst openAICompatibleReasoningContent = (native: unknown) =>\n isRecord(native) && typeof native.reasoning_content === \"string\" ? native.reasoning_content : undefined\n\nconst reasoningField = (part: ReasoningPart) => {\n const field = part.providerMetadata?.openai?.reasoningField\n return typeof field === \"string\" ? field : undefined\n}\n\nconst reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown) => {\n const observed = parts.flatMap((part) => {\n const details = part.providerMetadata?.openai?.reasoningDetails\n return Array.isArray(details) ? details : []\n })\n if (parts.some((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))) return observed\n if (isRecord(native) && Array.isArray(native.reasoning_details)) return native.reasoning_details\n}\n\nconst lowerUserMessage = Effect.fn(\"OpenAIChat.lowerUserMessage\")(function* (\n message: OpenAIChatRequestMessage,\n options: LoweringOptions,\n) {\n const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n for (const part of message.content) {\n if (part.type === \"text\") {\n content.push({ type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) })\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* lowerMedia(part))\n continue\n }\n return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"user\", [\"text\", \"media\"])\n }\n if (content.every((part) => part.type === \"text\" && part.cache_control === undefined))\n return {\n role: \"user\" as const,\n content: content.map((part) => (part.type === \"text\" ? part.text : \"\")).join(\"\"),\n }\n return { role: \"user\" as const, content }\n})\n\nconst lowerAssistantMessage = Effect.fn(\"OpenAIChat.lowerAssistantMessage\")(function* (\n message: OpenAIChatRequestMessage,\n configuredField?: string,\n options: LoweringOptions = {},\n) {\n const content: TextPart[] = []\n const reasoning: ReasoningPart[] = []\n const toolCalls: OpenAIChatAssistantToolCall[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"text\", \"reasoning\", \"tool-call\"]))\n return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"assistant\", [\"text\", \"reasoning\", \"tool-call\"])\n if (part.type === \"text\") {\n content.push(part)\n continue\n }\n if (part.type === \"reasoning\") {\n reasoning.push(part)\n continue\n }\n if (part.type === \"tool-call\") {\n toolCalls.push(lowerToolCall(part))\n continue\n }\n }\n const text = reasoning.map((part) => part.text).join(\"\")\n const details = reasoningDetails(reasoning, message.native?.openaiCompatible)\n const observedField = reasoning.map(reasoningField).find((value) => value !== undefined)\n const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)\n const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))\n const field = (() => {\n if (configuredField !== undefined) return configuredField\n if (reasoning.length === 0) return undefined\n if (observedField !== undefined) return observedField\n if (nativeReasoning !== undefined) return \"reasoning_content\"\n if (!fullyStructured) return \"reasoning_content\"\n })()\n const reasoningText = (() => {\n if (configuredField !== undefined) return reasoning.length === 0 ? (nativeReasoning ?? \"\") : text\n if (reasoning.length === 0) return nativeReasoning\n return text\n })()\n const cached = message.content.findLast((part) => \"cache\" in part && part.cache !== undefined)\n const cacheControl = options.cacheControl?.(cached && \"cache\" in cached ? cached.cache : undefined)\n const result = {\n role: \"assistant\" as const,\n content: content.length > 0 ? content.map((part) => part.text).join(\"\") : toolCalls.length > 0 ? null : \"\",\n ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),\n ...(details !== undefined ? { reasoning_details: details } : {}),\n ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),\n }\n if (field === undefined || reasoningText === undefined) return result\n return { ...result, [field]: reasoningText }\n})\n\nconst lowerToolMessages = Effect.fn(\"OpenAIChat.lowerToolMessages\")(function* (\n message: OpenAIChatRequestMessage,\n options: LoweringOptions,\n) {\n const messages: OpenAIChatMessage[] = []\n const images: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"OpenAI Chat\", \"tool\", [\"tool-result\"])\n if (part.result.type !== \"content\") {\n messages.push({\n role: \"tool\",\n tool_call_id: part.id,\n content: ProviderShared.toolResultText(part),\n cache_control: options.cacheControl?.(part.cache),\n })\n continue\n }\n const content: ReadonlyArray<Tool.Content> = part.result.value\n const text = content.filter((item) => item.type === \"text\").map((item) => item.text)\n messages.push({\n role: \"tool\",\n tool_call_id: part.id,\n content: text.join(\"\\n\"),\n cache_control: options.cacheControl?.(part.cache),\n })\n const files = content.filter((item) => item.type === \"file\")\n images.push(\n ...(yield* Effect.forEach(files, (item) =>\n lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name }),\n )),\n )\n }\n return { messages, images }\n})\n\nconst lowerMessage = Effect.fn(\"OpenAIChat.lowerMessage\")(function* (\n message: OpenAIChatRequestMessage,\n reasoningField?: string,\n options: LoweringOptions = {},\n) {\n if (message.role === \"user\") return [yield* lowerUserMessage(message, options)]\n if (message.role === \"assistant\") return [yield* lowerAssistantMessage(message, reasoningField, options)]\n return (yield* lowerToolMessages(message, options)).messages\n})\n\nconst lowerMessages = Effect.fn(\"OpenAIChat.lowerMessages\")(function* (request: LLMRequest, options: LoweringOptions) {\n const system: OpenAIChatMessage[] =\n request.system.length === 0\n ? []\n : request.system.some((part) => part.cache !== undefined) && options.cacheControl !== undefined\n ? [\n {\n role: \"system\",\n content: request.system.map((part) => ({\n type: \"text\",\n text: part.text,\n cache_control: options.cacheControl?.(part.cache),\n })),\n },\n ]\n : [{ role: \"system\", content: ProviderShared.joinText(request.system) }]\n const messages = [...system]\n const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []\n const flushImages = () => {\n if (pendingImages.length === 0) return\n messages.push({ role: \"user\", content: pendingImages.splice(0) })\n }\n for (const message of request.messages) {\n if (message.role === \"system\") {\n const part = yield* ProviderShared.wrappedSystemUpdate(\"OpenAI Chat\", message)\n if (pendingImages.length > 0) {\n messages.push({\n role: \"user\",\n content: [\n ...pendingImages.splice(0),\n { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n ],\n })\n continue\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\" && typeof previous.content === \"string\")\n messages[messages.length - 1] = options.cacheControl?.(part.cache)\n ? {\n role: \"user\",\n content: [\n { type: \"text\", text: previous.content },\n { type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) },\n ],\n }\n : { role: \"user\", content: `${previous.content}\\n${part.text}` }\n else if (previous?.role === \"user\" && Array.isArray(previous.content))\n messages[messages.length - 1] = {\n role: \"user\",\n content: [\n ...previous.content,\n { type: \"text\", text: part.text, cache_control: options.cacheControl?.(part.cache) },\n ],\n }\n else\n messages.push(\n options.cacheControl?.(part.cache)\n ? {\n role: \"user\",\n content: [{ type: \"text\", text: part.text, cache_control: options.cacheControl(part.cache) }],\n }\n : { role: \"user\", content: part.text },\n )\n continue\n }\n if (message.role === \"tool\") {\n const lowered = yield* lowerToolMessages(message, options)\n messages.push(...lowered.messages)\n pendingImages.push(...lowered.images)\n continue\n }\n flushImages()\n messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField, options)))\n }\n flushImages()\n return messages\n})\n\nconst lowerOptions = (request: LLMRequest) => {\n const options = OpenAIOptions.resolve(request)\n return {\n ...(options.store !== undefined ? { store: options.store } : {}),\n ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\n ...(options.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),\n }\n}\n\nexport const fromRequest = Effect.fn(\"OpenAIChat.fromRequest\")(function* (\n request: LLMRequest,\n options: LoweringOptions = {},\n) {\n // `fromRequest` returns the provider body only. Endpoint, auth, framing,\n // validation, and HTTP execution are composed by `Route.make`.\n const reasoningField = request.model.compatibility?.reasoningField\n if (reasoningField && RESERVED_REASONING_FIELDS.has(reasoningField))\n return yield* ProviderShared.invalidRequest(\n `OpenAI Chat reasoning field conflicts with reserved field ${reasoningField}`,\n )\n const generation = request.generation\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n const maxTokensField = request.model.compatibility?.maxTokensField ?? \"max_tokens\"\n return {\n model: request.model.id,\n messages: yield* lowerMessages(request, options),\n tools:\n request.tools.length === 0\n ? undefined\n : request.tools.map((tool) =>\n lowerTool(\n tool,\n ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n options,\n ),\n ),\n tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,\n stream: true as const,\n stream_options: { include_usage: true },\n ...(maxTokensField === \"max_completion_tokens\"\n ? { max_completion_tokens: generation?.maxTokens }\n : { max_tokens: generation?.maxTokens }),\n temperature: generation?.temperature,\n top_p: generation?.topP,\n frequency_penalty: generation?.frequencyPenalty,\n presence_penalty: generation?.presencePenalty,\n seed: generation?.seed,\n stop: generation?.stop,\n ...lowerOptions(request),\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\n// Streaming parsers are small state machines: every event returns a new state\n// plus the common `LLMEvent`s produced by that event. Tool calls are accumulated\n// because OpenAI streams JSON arguments across multiple deltas.\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n if (reason === \"stop\") return \"stop\"\n if (reason === \"length\") return \"length\"\n if (reason === \"content_filter\") return \"content-filter\"\n if (reason === \"function_call\" || reason === \"tool_calls\") return \"tool-calls\"\n if (reason === \"error\") return \"error\"\n return \"unknown\"\n}\n\n// OpenAI Chat reports `prompt_tokens` (inclusive total) with a\n// cached-read and cache-write subsets, and `completion_tokens` (inclusive\n// total) with a `reasoning_tokens` subset. We pass the inclusive totals\n// through and derive the non-cached breakdown so the `AI.Usage` contract is\n// satisfied on both sides.\nconst mapUsage = (usage: OpenAIChatEvent[\"usage\"]): Usage | undefined => {\n if (!usage) return undefined\n const input = usage.prompt_tokens ?? undefined\n const output = usage.completion_tokens ?? undefined\n const cached = usage.prompt_tokens_details?.cached_tokens ?? undefined\n const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined\n const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined\n const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))\n return new Usage({\n inputTokens: input,\n outputTokens: output,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cached,\n cacheWriteInputTokens: cacheWrite,\n reasoningTokens: reasoning,\n totalTokens: ProviderShared.totalTokens(input, output, usage.total_tokens ?? undefined),\n providerMetadata: { openai: usage },\n })\n}\n\nconst toolIndexByID = (\n tools: ParserState[\"tools\"],\n pendingTools: ParserState[\"pendingTools\"],\n id: string | undefined,\n) => {\n if (!id) return undefined\n const entry = Object.entries({ ...pendingTools, ...tools }).find(([, tool]) => tool?.id === id)\n return entry ? Number(entry[0]) : undefined\n}\n\nconst reasoningDelta = (\n delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined,\n configuredField?: string,\n) => {\n if (!delta) return undefined\n const fields = new Set([configuredField, \"reasoning_content\", \"reasoning\", \"reasoning_text\"])\n for (const field of fields) {\n if (field === undefined) continue\n const text = delta[field]\n if (typeof text === \"string\" && text.length > 0) return { field, text }\n }\n return undefined\n}\n\nconst detailText = (details: ReadonlyArray<unknown>) => {\n const text = details.flatMap((detail) => {\n if (!isRecord(detail)) return []\n if (detail.type === \"reasoning.text\" && typeof detail.text === \"string\" && detail.text) return [detail.text]\n if (detail.type === \"reasoning.summary\" && typeof detail.summary === \"string\" && detail.summary)\n return [detail.summary]\n return []\n })\n if (text.length > 0) return text.join(\"\")\n}\n\nconst appendReasoningDetails = (result: Array<unknown>, details: ReadonlyArray<unknown>) => {\n for (const detail of details) {\n const previous = result.at(-1)\n if (\n !isRecord(previous) ||\n previous.type !== \"reasoning.text\" ||\n !isRecord(detail) ||\n detail.type !== \"reasoning.text\" ||\n conflictingReasoningTextDetails(previous, detail)\n ) {\n result.push(detail)\n continue\n }\n result[result.length - 1] = {\n ...previous,\n ...Object.fromEntries(Object.entries(detail).filter((entry) => entry[1] !== undefined)),\n text: `${typeof previous.text === \"string\" ? previous.text : \"\"}${typeof detail.text === \"string\" ? detail.text : \"\"}`,\n signature: mergeDetailValue(previous.signature, detail.signature),\n format: mergeDetailValue(previous.format, detail.format),\n }\n }\n}\n\nconst mergeDetailValue = (previous: unknown, current: unknown) =>\n previous || current || (previous !== undefined ? previous : current)\n\nconst conflictingReasoningTextDetails = (previous: Record<string, unknown>, current: Record<string, unknown>) =>\n conflictingDetailValue(previous.id, current.id) ||\n conflictingDetailValue(previous.index, current.index) ||\n conflictingDetailValue(previous.format, current.format) ||\n (Boolean(previous.signature) && Boolean(current.signature) && previous.signature !== current.signature)\n\nconst conflictingDetailValue = (previous: unknown, current: unknown) =>\n previous !== undefined && previous !== null && current !== undefined && current !== null && previous !== current\n\nconst reasoningMetadata = (field: ParserState[\"reasoningField\"], details?: ReadonlyArray<unknown>) => ({\n openai: {\n ...(field ? { reasoningField: field } : {}),\n ...(details ? { reasoningDetails: details } : {}),\n },\n})\n\nconst step = (state: ParserState, event: OpenAIChatEvent) =>\n Effect.gen(function* () {\n if (event.error)\n return yield* new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({\n message: event.error.message,\n code: event.error.code === undefined || event.error.code === null ? undefined : String(event.error.code),\n status: typeof event.error.code === \"number\" ? event.error.code : undefined,\n }),\n })\n const events: LLMEvent[] = []\n const usage = mapUsage(event.usage) ?? state.usage\n const choice = event.choices?.[0]\n const rawFinishReason = choice?.finish_reason\n const finishReason =\n rawFinishReason !== undefined && rawFinishReason !== null\n ? { normalized: mapFinishReason(rawFinishReason), raw: choice?.native_finish_reason ?? rawFinishReason }\n : state.finishReason\n const delta = choice?.delta\n const toolDeltas = delta?.tool_calls ?? []\n let tools = state.tools\n let pendingTools = state.pendingTools\n let latestToolIndex = state.latestToolIndex\n let nextToolIndex = state.nextToolIndex\n\n let lifecycle = state.lifecycle\n\n const reasoning = reasoningDelta(delta, state.reasoningField)\n const hasLateContent =\n Boolean(delta?.content) ||\n Boolean(delta?.refusal) ||\n reasoning !== undefined ||\n (Array.isArray(delta?.reasoning_details) && delta.reasoning_details.length > 0) ||\n toolDeltas.some((tool) => Boolean(tool.id) || Boolean(tool.function?.name) || Boolean(tool.function?.arguments))\n if (state.finishReason !== undefined) {\n if (hasLateContent)\n return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat received content after the finish reason\")\n return [{ ...state, usage }, events] as const\n }\n\n const reasoningField = state.reasoningField ?? reasoning?.field\n const detailDelta = Array.isArray(delta?.reasoning_details) ? delta.reasoning_details : undefined\n if (detailDelta !== undefined) appendReasoningDetails(state.reasoningDetails, detailDelta)\n const reasoningDetailsObserved = state.reasoningDetailsObserved || detailDelta !== undefined\n const deltaMetadata = reasoningMetadata(reasoningField)\n const text = detailDelta?.length ? (detailText(detailDelta) ?? reasoning?.text) : reasoning?.text\n if (text !== undefined) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, \"reasoning-0\", text, deltaMetadata)\n else if (\n reasoningDetailsObserved &&\n !lifecycle.reasoning.has(\"reasoning-0\") &&\n (Boolean(delta?.content) || Boolean(delta?.refusal) || toolDeltas.length > 0)\n )\n lifecycle = Lifecycle.reasoningStart(lifecycle, events, \"reasoning-0\", deltaMetadata)\n const reasoningEmitted = state.reasoningEmitted || lifecycle.reasoning.has(\"reasoning-0\")\n\n if (delta?.content) {\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n )\n lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.content)\n }\n\n if (delta?.refusal) {\n lifecycle = Lifecycle.reasoningEnd(\n lifecycle,\n events,\n \"reasoning-0\",\n reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),\n )\n lifecycle = Lifecycle.textDelta(lifecycle, events, \"text-0\", delta.refusal)\n }\n\n // Compatible providers may omit indexes. Prefer durable identity, then use\n // batch position for parallel deltas or the latest call for sparse chunks.\n for (const [position, tool] of toolDeltas.entries()) {\n const matched = toolIndexByID(tools, pendingTools, tool.id || undefined)\n const fallback = toolDeltas.length > 1 ? position : (latestToolIndex ?? position)\n const fallbackTool = tools[fallback] ?? pendingTools[fallback]\n const index =\n tool.index ?? matched ?? (tool.id && fallbackTool?.id && fallbackTool.id !== tool.id ? nextToolIndex : fallback)\n const current = tools[index]\n const pending = pendingTools[index]\n const id = current?.id ?? pending?.id ?? (tool.id || undefined)\n const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)\n const text = `${pending?.input ?? \"\"}${tool.function?.arguments ?? \"\"}`\n latestToolIndex = index\n nextToolIndex = Math.max(nextToolIndex, index + 1)\n if (!current && (!id || !name)) {\n pendingTools = {\n ...pendingTools,\n [index]: { id: id || undefined, name: name || undefined, input: text },\n }\n continue\n }\n if (pending) {\n pendingTools = { ...pendingTools }\n delete pendingTools[index]\n }\n const result = ToolStream.appendOrStart(\n ADAPTER,\n tools,\n index,\n { id: id || undefined, name: name || undefined, text },\n \"OpenAI Chat tool call delta is missing id or name\",\n )\n if (ToolStream.isError(result)) return yield* result\n tools = result.tools\n if (result.events.length) lifecycle = Lifecycle.stepStart(lifecycle, events)\n events.push(...result.events)\n }\n\n if (finishReason !== undefined && state.finishReason === undefined && Object.keys(pendingTools).length > 0)\n return yield* ProviderShared.eventError(ADAPTER, \"OpenAI Chat tool call delta is missing id or name\")\n\n // Finalize accumulated tool inputs eagerly when finish_reason arrives so\n // valid calls and malformed local calls settle independently.\n const finished =\n finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0\n ? yield* ToolStream.finishAll(ADAPTER, tools)\n : undefined\n\n return [\n {\n tools: finished?.tools ?? tools,\n pendingTools,\n toolCallEvents: finished?.events ?? state.toolCallEvents,\n usage,\n finishReason,\n lifecycle,\n reasoningField,\n reasoningDetails: state.reasoningDetails,\n reasoningDetailsObserved,\n reasoningEmitted,\n latestToolIndex,\n nextToolIndex,\n },\n events,\n ] as const\n })\n\nconst finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {\n const events: LLMEvent[] = []\n const toolCallEvents =\n state.finishReason === undefined && Object.keys(state.tools).length > 0\n ? Effect.runSync(ToolStream.finishAll(ADAPTER, state.tools)).events\n : state.toolCallEvents\n const hasToolCalls = toolCallEvents.length > 0\n const reason = state.finishReason\n ? {\n ...state.finishReason,\n normalized:\n state.finishReason.normalized === \"stop\" && hasToolCalls ? \"tool-calls\" : state.finishReason.normalized,\n }\n : { normalized: hasToolCalls ? (\"tool-calls\" as const) : (\"unknown\" as const) }\n const metadata = reasoningMetadata(\n state.reasoningField,\n state.reasoningDetailsObserved ? state.reasoningDetails : undefined,\n )\n const started =\n state.reasoningDetailsObserved && !state.reasoningEmitted\n ? Lifecycle.reasoningStart(state.lifecycle, events, \"reasoning-0\", reasoningMetadata(state.reasoningField))\n : state.lifecycle\n const ended = Lifecycle.reasoningEnd(started, events, \"reasoning-0\", metadata)\n const lifecycle = toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended\n events.push(...toolCallEvents)\n Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })\n return events\n}\n\n// =============================================================================\n// Protocol And OpenAI Route\n// =============================================================================\n/**\n * The OpenAI Chat protocol — request body construction, body schema, and the\n * streaming-event state machine. Reused by every route that speaks OpenAI Chat\n * over HTTP+SSE: native OpenAI, DeepSeek, TogetherAI, Cerebras, Baseten,\n * Fireworks, DeepInfra, and (once added) Azure OpenAI Chat.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: OpenAIChatBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(OpenAIChatEvent),\n initial: (request) => ({\n tools: ToolStream.empty<number>(),\n pendingTools: {},\n toolCallEvents: [],\n lifecycle: Lifecycle.initial(),\n reasoningField: request.model.compatibility?.reasoningField,\n reasoningDetails: [],\n reasoningDetailsObserved: false,\n reasoningEmitted: false,\n nextToolIndex: 0,\n }),\n step,\n onHalt: finishEvents,\n },\n})\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIChatBody>()\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"openai\",\n providerMetadataKey: \"openai\",\n protocol,\n endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n auth: Auth.none,\n transport: httpTransport,\n})\n\nexport * as OpenAIChat from \"./openai-chat.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "C4A28CFF9DEFDD7664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/service/unset.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.service.commands.unset,\n Effect.fn(\"cli.service.unset\")(function* (input) {\n yield* ServiceConfig.unset(input.key, Option.getOrUndefined(input.name))\n }),\n)\n" | ||
| ], | ||
| "mappings": ";02BAKA,IAAe,IAAQ,QACrB,EAAS,SAAS,QAAQ,SAAS,MACnC,EAAO,GAAG,mBAAmB,EAAE,SAAU,CAAC,EAAO,CAC/C,MAAO,EAAc,MAAM,EAAM,IAAK,EAAO,eAAe,EAAM,IAAI,CAAC,EACxE,CACH", | ||
| "debugId": "3FA8C5F3946E4B9664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/anthropic-messages.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Tool } from \"@opencode-ai/schema/tool\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport {\n AIError,\n LLMEvent,\n mergeJsonRecords,\n Usage,\n type CacheHint,\n type FinishReasonDetails,\n type FinishReason,\n type JsonSchema,\n type LLMRequest,\n type MediaPart,\n type ProviderMetadata,\n type ToolCallPart,\n type ToolDefinition,\n type ToolResultPart,\n} from \"../schema/index.js\"\nimport { JsonObject, optionalArray, optionalNull, ProviderShared } from \"./shared.js\"\nimport { classifyProviderFailure } from \"../provider-error.js\"\nimport * as Cache from \"./utils/cache.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { ToolStream } from \"./utils/tool-stream.js\"\n\nconst ADAPTER = \"anthropic-messages\"\nexport const DEFAULT_BASE_URL = \"https://api.anthropic.com/v1\"\nexport const PATH = \"/messages\"\nexport const DEFAULT_MAX_TOKENS = 32_000\n\nconst SSE_EVENTS = new Set([\n \"message\",\n \"message_start\",\n \"message_delta\",\n \"message_stop\",\n \"content_block_start\",\n \"content_block_delta\",\n \"content_block_stop\",\n \"error\",\n])\nexport const framing = Framing.sseEvents(SSE_EVENTS)\n\nexport type ThinkingInput =\n | {\n readonly type: \"adaptive\"\n readonly display?: \"summarized\" | \"omitted\"\n }\n | {\n readonly type: \"disabled\"\n }\n | ({ readonly type: \"enabled\" } & (\n | { readonly budgetTokens: number; readonly budget_tokens?: number }\n | { readonly budgetTokens?: number; readonly budget_tokens: number }\n ))\n\nexport interface OptionsInput {\n readonly [key: string]: unknown\n readonly thinking?: ThinkingInput\n readonly effort?: string\n}\n\nexport type ProviderOptionsInput = OptionsInput\n\n// =============================================================================\n// Request Body Schema\n// =============================================================================\nconst AnthropicCacheControl = Schema.Struct({\n type: Schema.tag(\"ephemeral\"),\n ttl: Schema.optional(Schema.Literals([\"5m\", \"1h\"])),\n})\n\nconst AnthropicTextBlock = Schema.Struct({\n type: Schema.tag(\"text\"),\n text: Schema.String,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTextBlock = Schema.Schema.Type<typeof AnthropicTextBlock>\n\nconst AnthropicImageBlock = Schema.Struct({\n type: Schema.tag(\"image\"),\n source: Schema.Struct({\n type: Schema.tag(\"base64\"),\n media_type: Schema.String,\n data: Schema.String,\n }),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>\n\nconst AnthropicDocumentBlock = Schema.Struct({\n type: Schema.tag(\"document\"),\n source: Schema.Struct({\n type: Schema.tag(\"base64\"),\n media_type: Schema.Literal(\"application/pdf\"),\n data: Schema.String,\n }),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicDocumentBlock = Schema.Schema.Type<typeof AnthropicDocumentBlock>\n\nconst AnthropicThinkingBlock = Schema.Struct({\n type: Schema.tag(\"thinking\"),\n thinking: Schema.String,\n signature: Schema.optional(Schema.String),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\n\n// Safety-filtered thinking arrives as an opaque encrypted `data` payload with\n// no visible text. It must round-trip verbatim so multi-turn thinking + tool\n// use conversations keep their reasoning continuity.\nconst AnthropicRedactedThinkingBlock = Schema.Struct({\n type: Schema.tag(\"redacted_thinking\"),\n data: Schema.String,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicToolUseBlock = Schema.Struct({\n type: Schema.tag(\"tool_use\"),\n id: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicToolUseBlock = Schema.Schema.Type<typeof AnthropicToolUseBlock>\n\nconst AnthropicServerToolUseBlock = Schema.Struct({\n type: Schema.tag(\"server_tool_use\"),\n id: Schema.String,\n name: Schema.String,\n input: Schema.Unknown,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolUseBlock = Schema.Schema.Type<typeof AnthropicServerToolUseBlock>\n\n// Server tool result blocks: web_search_tool_result, code_execution_tool_result,\n// and web_fetch_tool_result. The provider executes the tool and inlines the\n// structured result into the assistant turn — there is no client tool_result\n// round-trip. We round-trip the structured `content` payload as opaque JSON so\n// the next request can echo it back when continuing the conversation.\nconst AnthropicServerToolResultType = Schema.Literals([\n \"web_search_tool_result\",\n \"code_execution_tool_result\",\n \"web_fetch_tool_result\",\n])\ntype AnthropicServerToolResultType = Schema.Schema.Type<typeof AnthropicServerToolResultType>\n\nconst AnthropicServerToolResultBlock = Schema.Struct({\n type: AnthropicServerToolResultType,\n tool_use_id: Schema.String,\n content: Schema.Unknown,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>\n\n// Anthropic accepts either a plain string or an ordered array of text, image, and\n// document blocks inside `tool_result.content`. The array form keeps media as native\n// model input instead of JSON-stringifying base64 into prompt text.\nconst AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicDocumentBlock])\n\nconst AnthropicToolResultBlock = Schema.Struct({\n type: Schema.tag(\"tool_result\"),\n tool_use_id: Schema.String,\n content: Schema.Union([Schema.String, Schema.Array(AnthropicToolResultContent)]),\n is_error: Schema.optional(Schema.Boolean),\n cache_control: Schema.optional(AnthropicCacheControl),\n})\n\nconst AnthropicUserBlock = Schema.Union([\n AnthropicTextBlock,\n AnthropicImageBlock,\n AnthropicDocumentBlock,\n AnthropicToolResultBlock,\n])\ntype AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>\nconst AnthropicAssistantBlock = Schema.Union([\n AnthropicTextBlock,\n AnthropicThinkingBlock,\n AnthropicRedactedThinkingBlock,\n AnthropicToolUseBlock,\n AnthropicServerToolUseBlock,\n AnthropicServerToolResultBlock,\n])\ntype AnthropicAssistantBlock = Schema.Schema.Type<typeof AnthropicAssistantBlock>\ntype AnthropicToolResultBlock = Schema.Schema.Type<typeof AnthropicToolResultBlock>\n\nconst AnthropicMessage = Schema.Union([\n Schema.Struct({ role: Schema.Literal(\"user\"), content: Schema.Array(AnthropicUserBlock) }),\n Schema.Struct({ role: Schema.Literal(\"assistant\"), content: Schema.Array(AnthropicAssistantBlock) }),\n Schema.Struct({ role: Schema.Literal(\"system\"), content: Schema.Array(AnthropicTextBlock) }),\n]).pipe(Schema.toTaggedUnion(\"role\"))\ntype AnthropicMessage = Schema.Schema.Type<typeof AnthropicMessage>\n\nconst AnthropicTool = Schema.Struct({\n name: Schema.String,\n description: Schema.String,\n input_schema: JsonObject,\n cache_control: Schema.optional(AnthropicCacheControl),\n})\ntype AnthropicTool = Schema.Schema.Type<typeof AnthropicTool>\n\nconst AnthropicToolChoice = Schema.Union([\n Schema.Struct({ type: Schema.Literals([\"auto\", \"any\", \"none\"]) }),\n Schema.Struct({ type: Schema.tag(\"tool\"), name: Schema.String }),\n])\n\nconst AnthropicThinking = Schema.Union([\n Schema.Struct({\n type: Schema.tag(\"enabled\"),\n budget_tokens: Schema.Number,\n }),\n Schema.Struct({\n type: Schema.tag(\"adaptive\"),\n display: Schema.optional(Schema.Literals([\"summarized\", \"omitted\"])),\n }),\n Schema.Struct({\n type: Schema.tag(\"disabled\"),\n }),\n])\n\nconst AnthropicOutputConfig = Schema.Struct({\n effort: Schema.optional(Schema.String),\n})\n\nconst AnthropicBodyFields = {\n model: Schema.String,\n system: optionalArray(AnthropicTextBlock),\n messages: Schema.Array(AnthropicMessage),\n tools: optionalArray(AnthropicTool),\n tool_choice: Schema.optional(AnthropicToolChoice),\n stream: Schema.Literal(true),\n max_tokens: Schema.Number,\n temperature: Schema.optional(Schema.Number),\n top_p: Schema.optional(Schema.Number),\n top_k: Schema.optional(Schema.Number),\n stop_sequences: optionalArray(Schema.String),\n thinking: Schema.optional(AnthropicThinking),\n output_config: Schema.optional(AnthropicOutputConfig),\n}\nexport const AnthropicMessagesBody = Schema.Struct(AnthropicBodyFields)\nexport type AnthropicMessagesBody = Schema.Schema.Type<typeof AnthropicMessagesBody>\n\nconst AnthropicUsage = Schema.StructWithRest(\n Schema.Struct({\n input_tokens: optionalNull(Schema.Number),\n output_tokens: Schema.optional(Schema.Number),\n cache_creation_input_tokens: optionalNull(Schema.Number),\n cache_read_input_tokens: optionalNull(Schema.Number),\n server_tool_use: optionalNull(\n Schema.StructWithRest(Schema.Struct({ web_search_requests: Schema.optional(Schema.Number) }), [\n Schema.Record(Schema.String, Schema.Unknown),\n ]),\n ),\n output_tokens_details: optionalNull(\n Schema.StructWithRest(Schema.Struct({ thinking_tokens: Schema.optional(Schema.Number) }), [\n Schema.Record(Schema.String, Schema.Unknown),\n ]),\n ),\n }),\n [Schema.Record(Schema.String, Schema.Unknown)],\n)\ntype AnthropicUsage = Schema.Schema.Type<typeof AnthropicUsage>\n\nconst AnthropicStreamBlock = Schema.Struct({\n type: Schema.String,\n id: Schema.optional(Schema.String),\n name: Schema.optional(Schema.String),\n text: Schema.optional(Schema.String),\n thinking: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n // redacted_thinking blocks arrive whole in content_block_start with the\n // encrypted payload in `data`; there is no streaming delta sequence.\n data: Schema.optional(Schema.String),\n input: Schema.optional(Schema.Unknown),\n // *_tool_result blocks arrive whole as content_block_start (no streaming\n // delta) with the structured payload in `content` and the originating\n // server_tool_use id in `tool_use_id`.\n tool_use_id: Schema.optional(Schema.String),\n content: Schema.optional(Schema.Unknown),\n})\n\nconst AnthropicStreamDelta = Schema.Struct({\n type: Schema.optional(Schema.String),\n text: Schema.optional(Schema.String),\n thinking: Schema.optional(Schema.String),\n partial_json: Schema.optional(Schema.String),\n signature: Schema.optional(Schema.String),\n stop_reason: optionalNull(Schema.String),\n stop_sequence: optionalNull(Schema.String),\n})\n\nconst AnthropicEvent = Schema.Struct({\n type: Schema.String,\n index: Schema.optional(Schema.Number),\n message: Schema.optional(Schema.Struct({ usage: Schema.optional(AnthropicUsage) })),\n content_block: Schema.optional(AnthropicStreamBlock),\n delta: Schema.optional(AnthropicStreamDelta),\n usage: Schema.optional(AnthropicUsage),\n // `type` and `message` are both required per Anthropic's spec, but\n // OpenAI-compatible proxies and gateway translations occasionally drop one\n // or the other; mark them optional so a partial payload still parses and\n // the parser can fall back to whichever field is populated.\n error: Schema.optional(\n Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),\n ),\n})\ntype AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>\n\ninterface ParserState {\n readonly tools: ToolStream.State<number>\n readonly reasoningSignatures: Readonly<Record<number, string>>\n readonly usage?: Usage\n readonly pendingFinish?: {\n readonly reason: FinishReasonDetails\n readonly providerMetadata?: ProviderMetadata\n }\n readonly lifecycle: Lifecycle.State\n}\n\nconst invalid = ProviderShared.invalidRequest\n\n// =============================================================================\n// Request Lowering\n// =============================================================================\n// Anthropic accepts at most 4 explicit cache_control breakpoints per request,\n// across `tools`, `system`, and `messages`. Beyond the cap the API returns a\n// 400 — so the lowering layer counts emitted markers and silently drops any\n// that exceed it.\nconst ANTHROPIC_BREAKPOINT_CAP = 4\n\nconst EPHEMERAL_5M = { type: \"ephemeral\" as const }\nconst EPHEMERAL_1H = { type: \"ephemeral\" as const, ttl: \"1h\" as const }\n\nconst cacheControl = (breakpoints: Cache.Breakpoints, cache: CacheHint | undefined) => {\n if (cache?.type !== \"ephemeral\" && cache?.type !== \"persistent\") return undefined\n if (breakpoints.remaining <= 0) {\n breakpoints.dropped += 1\n return undefined\n }\n breakpoints.remaining -= 1\n return Cache.ttlBucket(cache.ttlSeconds) === \"1h\" ? EPHEMERAL_1H : EPHEMERAL_5M\n}\n\nconst anthropicMetadata = (metadata: Record<string, unknown>): ProviderMetadata => ({ anthropic: metadata })\n\nconst signatureFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n const anthropic = metadata?.anthropic\n if (!ProviderShared.isRecord(anthropic)) return undefined\n return typeof anthropic.signature === \"string\" ? anthropic.signature : undefined\n}\n\nconst redactedDataFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {\n const anthropic = metadata?.anthropic\n if (!ProviderShared.isRecord(anthropic)) return undefined\n return typeof anthropic.redactedData === \"string\" ? anthropic.redactedData : undefined\n}\n\nconst lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition, inputSchema: JsonSchema): AnthropicTool => ({\n name: tool.name,\n description: tool.description,\n input_schema: inputSchema,\n cache_control: cacheControl(breakpoints, tool.cache),\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>) =>\n ProviderShared.matchToolChoice(\"Anthropic Messages\", toolChoice, {\n auto: () => ({ type: \"auto\" as const }),\n none: () => ({ type: \"none\" as const }),\n required: () => ({ type: \"any\" as const }),\n tool: (name) => ({ type: \"tool\" as const, name }),\n })\n\nconst scrubToolCallID = (id: string) => id.replace(/[^a-zA-Z0-9_-]/g, \"_\")\n\nconst lowerToolCall = (part: ToolCallPart): AnthropicToolUseBlock => ({\n type: \"tool_use\",\n id: scrubToolCallID(part.id),\n name: part.name,\n input: part.input,\n})\n\nconst lowerServerToolCall = (part: ToolCallPart): AnthropicServerToolUseBlock => ({\n type: \"server_tool_use\",\n id: scrubToolCallID(part.id),\n name: part.name,\n input: part.input,\n})\n\n// Server tool result blocks are typed by name. Anthropic ships three today;\n// extend this list when new server tools land. The block content is the\n// structured payload returned by the provider, which we round-trip as-is.\nconst serverToolResultType = (name: string): AnthropicServerToolResultType | undefined => {\n if (name === \"web_search\") return \"web_search_tool_result\"\n if (name === \"code_execution\") return \"code_execution_tool_result\"\n if (name === \"web_fetch\") return \"web_fetch_tool_result\"\n return undefined\n}\n\nconst lowerServerToolResult = Effect.fn(\"AnthropicMessages.lowerServerToolResult\")(function* (part: ToolResultPart) {\n const wireType = serverToolResultType(part.name)\n if (!wireType)\n return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)\n // Prefer the provider-owned replay payload; fall back to the result value for\n // histories constructed directly from provider events.\n const payload = part.providerMetadata?.anthropic?.[\"result\"] ?? part.result.value\n return { type: wireType, tool_use_id: scrubToolCallID(part.id), content: payload } satisfies AnthropicServerToolResultBlock\n})\n\nconst lowerMedia = Effect.fn(\"AnthropicMessages.lowerMedia\")(function* (part: MediaPart) {\n const media = ProviderShared.normalizeMedia(part)\n if (media.mime === \"application/pdf\")\n return {\n type: \"document\" as const,\n source: {\n type: \"base64\" as const,\n media_type: \"application/pdf\" as const,\n data: media.base64,\n },\n } satisfies AnthropicDocumentBlock\n if (!media.mime.startsWith(\"image/\"))\n return yield* invalid(`Anthropic Messages does not support media type ${part.mediaType}`)\n return {\n type: \"image\" as const,\n source: {\n type: \"base64\" as const,\n media_type: media.mime,\n data: media.base64,\n },\n } satisfies AnthropicImageBlock\n})\n\n// Tool results may carry structured text, images, and documents. Keep media as provider-native\n// content instead of JSON-stringifying base64 into a prompt string.\nconst lowerToolResultContentItem = Effect.fnUntraced(function* (item: Tool.Content) {\n if (item.type === \"text\") return { type: \"text\" as const, text: item.text } satisfies AnthropicTextBlock\n return yield* lowerMedia({ type: \"media\", mediaType: item.mime, data: item.uri, filename: item.name })\n})\n\nconst lowerToolResultContent = Effect.fnUntraced(function* (part: ToolResultPart) {\n // Text / json / error results stay as a string for backward compatibility\n // with existing cassettes and provider expectations.\n if (part.result.type !== \"content\") return ProviderShared.toolResultText(part)\n // Preserve the narrowed array element type when compiled through a consumer package.\n const content: ReadonlyArray<Tool.Content> = part.result.value\n return yield* Effect.forEach(content, lowerToolResultContentItem)\n})\n\n// Mid-conversation system messages became available with Opus 4.8 and version\n// 5 of the other supported Claude families. Treat later family versions as\n// compatible without assuming that every Anthropic Messages model is Claude.\nconst supportsNativeSystemUpdates = (request: LLMRequest) => {\n const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\\d+)(?:[.-](\\d+))?/.exec(\n String(request.model.id).toLowerCase(),\n )\n if (!match) return false\n const major = Number(match[2])\n if (match[1] !== \"opus\") return major >= 5\n if (major !== 4) return major >= 5\n return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8\n}\n\nconst endsInServerToolUse = (message: LLMRequest[\"messages\"][number]) => {\n const last = message.content.at(-1)\n return message.role === \"assistant\" && last?.type === \"tool-call\" && last.providerExecuted === true\n}\n\nconst canUseNativeSystemUpdate = (messages: LLMRequest[\"messages\"], index: number) => {\n const previous = messages[index - 1]\n const next = messages[index + 1]\n return (\n previous !== undefined &&\n previous.role !== \"system\" &&\n (previous.role === \"user\" || previous.role === \"tool\" || endsInServerToolUse(previous)) &&\n next?.role !== \"system\" &&\n (next === undefined || next.role === \"assistant\")\n )\n}\n\nconst splitsLocalToolResults = (messages: LLMRequest[\"messages\"], index: number) => {\n const pending = new Set<string>()\n for (const message of messages.slice(0, index)) {\n for (const part of message.content) {\n if (message.role === \"assistant\" && part.type === \"tool-call\" && part.providerExecuted !== true)\n pending.add(part.id)\n if (message.role === \"tool\" && part.type === \"tool-result\") pending.delete(part.id)\n }\n }\n return pending.size > 0\n}\n\nconst lowerNativeSystemUpdate = Effect.fn(\"AnthropicMessages.lowerNativeSystemUpdate\")(function* (\n message: LLMRequest[\"messages\"][number],\n breakpoints: Cache.Breakpoints,\n) {\n const content = yield* ProviderShared.systemUpdateText(\"Anthropic Messages\", message)\n return {\n role: \"system\" as const,\n content: content.map((part) => ({\n type: \"text\" as const,\n text: part.text,\n cache_control: cacheControl(breakpoints, part.cache),\n })),\n }\n})\n\nconst lowerMessages = Effect.fn(\"AnthropicMessages.lowerMessages\")(function* (\n request: LLMRequest,\n breakpoints: Cache.Breakpoints,\n) {\n const messages: AnthropicMessage[] = []\n\n for (const [index, message] of request.messages.entries()) {\n if (message.role === \"system\") {\n if (splitsLocalToolResults(request.messages, index))\n return yield* invalid(\"Anthropic Messages system updates cannot split a local tool call from its tool result\")\n if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request.messages, index)) {\n messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))\n continue\n }\n const part = yield* ProviderShared.wrappedSystemUpdate(\"Anthropic Messages\", message)\n const block = { type: \"text\" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }\n const previous = messages.at(-1)\n if (previous?.role === \"user\")\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, block] }\n else messages.push({ role: \"user\", content: [block] })\n continue\n }\n\n if (message.role === \"user\") {\n const content: AnthropicUserBlock[] = []\n for (const part of message.content) {\n if (part.type === \"text\") {\n content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n continue\n }\n if (part.type === \"media\") {\n content.push(yield* lowerMedia(part))\n continue\n }\n return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"user\", [\"text\", \"media\"])\n }\n messages.push({ role: \"user\", content })\n continue\n }\n\n if (message.role === \"assistant\") {\n const content: AnthropicAssistantBlock[] = []\n for (const part of message.content) {\n if (part.type === \"text\") {\n content.push({ type: \"text\", text: part.text, cache_control: cacheControl(breakpoints, part.cache) })\n continue\n }\n if (part.type === \"reasoning\") {\n // Mirrors Vercel's @ai-sdk/anthropic: a signature marks visible\n // thinking; only signature-less parts carrying redactedData\n // round-trip as opaque redacted_thinking blocks.\n const signature = part.encrypted ?? signatureFromMetadata(part.providerMetadata)\n const redactedData = redactedDataFromMetadata(part.providerMetadata)\n if (signature === undefined && redactedData !== undefined) {\n content.push({ type: \"redacted_thinking\", data: redactedData })\n continue\n }\n content.push({ type: \"thinking\", thinking: part.text, signature })\n continue\n }\n if (part.type === \"tool-call\") {\n content.push(part.providerExecuted ? lowerServerToolCall(part) : lowerToolCall(part))\n continue\n }\n if (part.type === \"tool-result\" && part.providerExecuted) {\n content.push(yield* lowerServerToolResult(part))\n continue\n }\n return yield* invalid(\n `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,\n )\n }\n messages.push({ role: \"assistant\", content })\n continue\n }\n\n const content: AnthropicToolResultBlock[] = []\n for (const part of message.content) {\n if (!ProviderShared.supportsContent(part, [\"tool-result\"]))\n return yield* ProviderShared.unsupportedContent(\"Anthropic Messages\", \"tool\", [\"tool-result\"])\n content.push({\n type: \"tool_result\",\n tool_use_id: scrubToolCallID(part.id),\n content: yield* lowerToolResultContent(part),\n is_error: part.result.type === \"error\" ? true : undefined,\n cache_control: cacheControl(breakpoints, part.cache),\n })\n }\n const previous = messages.at(-1)\n if (previous?.role === \"user\" && previous.content.every((block) => block.type === \"tool_result\"))\n messages[messages.length - 1] = { role: \"user\", content: [...previous.content, ...content] }\n else messages.push({ role: \"user\", content })\n }\n\n return messages\n})\n\nconst resolveOptions = Effect.fn(\"AnthropicMessages.resolveOptions\")(function* (request: LLMRequest) {\n const input = request.providerOptions\n return {\n thinking: yield* resolveThinking(input?.thinking),\n effort: typeof input?.effort === \"string\" ? input.effort : undefined,\n }\n})\n\nconst resolveThinking = Effect.fn(\"AnthropicMessages.resolveThinking\")(function* (input: unknown) {\n if (!ProviderShared.isRecord(input)) return undefined\n if (input.type === \"adaptive\") {\n const display =\n input.display === \"summarized\"\n ? (\"summarized\" as const)\n : input.display === \"omitted\"\n ? (\"omitted\" as const)\n : undefined\n return { type: \"adaptive\" as const, ...(display === undefined ? {} : { display }) }\n }\n if (input.type === \"disabled\") return { type: \"disabled\" as const }\n if (input.type !== \"enabled\") return undefined\n const budget =\n typeof input.budgetTokens === \"number\"\n ? input.budgetTokens\n : typeof input.budget_tokens === \"number\"\n ? input.budget_tokens\n : undefined\n if (budget === undefined)\n return yield* ProviderShared.invalidRequest(\"Anthropic thinking provider option requires budgetTokens\")\n return { type: \"enabled\" as const, budget_tokens: budget }\n})\n\nconst fromRequest = Effect.fn(\"AnthropicMessages.fromRequest\")(function* (request: LLMRequest) {\n const generation = request.generation\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n // Allocate the 4-breakpoint budget in invalidation order: tools → system →\n // messages. Tools live highest in the cache hierarchy, so when callers\n // over-mark we keep their tool hints and shed the message-tail ones first.\n const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)\n const tools =\n request.tools.length === 0\n ? undefined\n : request.tools.map((tool) =>\n lowerTool(\n breakpoints,\n tool,\n ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),\n ),\n )\n // Anthropic rejects tool_choice when tools are absent; \"none\" is only meaningful with tools present.\n const toolChoice = tools === undefined || !request.toolChoice ? undefined : yield* lowerToolChoice(request.toolChoice)\n const system =\n request.system.length === 0\n ? undefined\n : request.system.map((part) => ({\n type: \"text\" as const,\n text: part.text,\n cache_control: cacheControl(breakpoints, part.cache),\n }))\n const messages = yield* lowerMessages(request, breakpoints)\n if (breakpoints.dropped > 0) {\n yield* Effect.logWarning(\n `Anthropic Messages: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${ANTHROPIC_BREAKPOINT_CAP} per request.`,\n )\n }\n const options = yield* resolveOptions(request)\n return {\n model: request.model.id,\n system,\n messages,\n tools,\n tool_choice: toolChoice,\n stream: true as const,\n max_tokens: generation?.maxTokens ?? DEFAULT_MAX_TOKENS,\n temperature: generation?.temperature,\n top_p: generation?.topP,\n top_k: generation?.topK,\n stop_sequences: generation?.stop,\n thinking: options.thinking,\n output_config: options.effort === undefined ? undefined : { effort: options.effort },\n }\n})\n\n// =============================================================================\n// Stream Parsing\n// =============================================================================\nconst mapFinishReason = (reason: string | null | undefined): FinishReason => {\n if (reason === \"end_turn\" || reason === \"stop_sequence\" || reason === \"pause_turn\") return \"stop\"\n if (reason === \"max_tokens\" || reason === \"model_context_window_exceeded\") return \"length\"\n if (reason === \"tool_use\") return \"tool-calls\"\n if (reason === \"refusal\") return \"content-filter\"\n return \"unknown\"\n}\n\n// Anthropic reports the non-overlapping breakdown natively — its\n// `input_tokens` is the *non-cached* count per the Messages API docs, with\n// cache reads and writes as separate fields. We sum them to derive the\n// inclusive `inputTokens` the rest of the contract expects. Extended\n// thinking tokens are included in `output_tokens`; newer responses also\n// expose that subset through `output_tokens_details.thinking_tokens`.\nconst mapUsage = (usage: AnthropicUsage | undefined): Usage | undefined => {\n if (!usage) return undefined\n const nonCached = usage.input_tokens ?? undefined\n const cacheRead = usage.cache_read_input_tokens ?? undefined\n const cacheWrite = usage.cache_creation_input_tokens ?? undefined\n const inputTokens = ProviderShared.sumTokens(nonCached, cacheRead, cacheWrite)\n return new Usage({\n inputTokens,\n outputTokens: usage.output_tokens,\n nonCachedInputTokens: nonCached,\n cacheReadInputTokens: cacheRead,\n cacheWriteInputTokens: cacheWrite,\n reasoningTokens: usage.output_tokens_details?.thinking_tokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, usage.output_tokens, undefined),\n providerMetadata: { anthropic: usage },\n })\n}\n\n// Anthropic emits usage on `message_start` and again on `message_delta` — the\n// final delta carries the authoritative totals. Right-biased merge: each\n// field prefers `right` when defined, falls back to `left`. `inputTokens` is\n// recomputed from the merged breakdown so the inclusive total stays\n// consistent with `nonCached + cacheRead + cacheWrite`.\nconst mergeUsage = (left: Usage | undefined, right: Usage | undefined) => {\n if (!left) return right\n if (!right) return left\n const nonCachedInputTokens = right.nonCachedInputTokens ?? left.nonCachedInputTokens\n const cacheReadInputTokens = right.cacheReadInputTokens ?? left.cacheReadInputTokens\n const cacheWriteInputTokens = right.cacheWriteInputTokens ?? left.cacheWriteInputTokens\n const inputTokens = ProviderShared.sumTokens(nonCachedInputTokens, cacheReadInputTokens, cacheWriteInputTokens)\n const outputTokens = right.outputTokens ?? left.outputTokens\n const reasoningTokens = right.reasoningTokens ?? left.reasoningTokens\n return new Usage({\n inputTokens,\n outputTokens,\n nonCachedInputTokens,\n cacheReadInputTokens,\n cacheWriteInputTokens,\n reasoningTokens,\n totalTokens: ProviderShared.totalTokens(inputTokens, outputTokens, undefined),\n providerMetadata: {\n anthropic: mergeJsonRecords(left.providerMetadata?.[\"anthropic\"], right.providerMetadata?.[\"anthropic\"]) ?? {},\n },\n })\n}\n\n// Server tool result blocks come whole in `content_block_start` (no streaming\n// delta sequence). We convert the payload to a `tool-result` event with\n// `providerExecuted: true`. The runtime appends it to the assistant message\n// for round-trip; downstream consumers can inspect `result.value` for the\n// structured payload.\nconst SERVER_TOOL_RESULT_NAMES: Record<AnthropicServerToolResultType, string> = {\n web_search_tool_result: \"web_search\",\n code_execution_tool_result: \"code_execution\",\n web_fetch_tool_result: \"web_fetch\",\n}\n\nconst isServerToolResultType = (type: string): type is AnthropicServerToolResultType => type in SERVER_TOOL_RESULT_NAMES\n\nconst serverToolResultEvent = (block: NonNullable<AnthropicEvent[\"content_block\"]>): LLMEvent | undefined => {\n if (!block.type || !isServerToolResultType(block.type)) return undefined\n const errorPayload =\n typeof block.content === \"object\" && block.content !== null && \"type\" in block.content\n ? String((block.content as Record<string, unknown>).type)\n : \"\"\n const isError = errorPayload.endsWith(\"_tool_result_error\")\n return LLMEvent.toolResult({\n id: block.tool_use_id ?? \"\",\n name: SERVER_TOOL_RESULT_NAMES[block.type],\n result: isError ? { type: \"error\", value: block.content } : { type: \"json\", value: block.content },\n providerExecuted: true,\n // The complete payload is irreducible provider replay state: subsequent\n // stateless requests must round-trip the typed result block verbatim.\n providerMetadata: anthropicMetadata({ blockType: block.type, result: block.content }),\n })\n}\n\ntype StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]\n\nconst NO_EVENTS: StepResult[\"1\"] = []\n\nconst onMessageStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n const usage = mapUsage(event.message?.usage)\n return [usage ? { ...state, usage: mergeUsage(state.usage, usage) } : state, NO_EVENTS]\n}\n\nconst onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepResult => {\n const block = event.content_block\n if (!block) return [state, NO_EVENTS]\n\n if ((block.type === \"tool_use\" || block.type === \"server_tool_use\") && event.index !== undefined) {\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n return [\n {\n ...state,\n lifecycle,\n tools: ToolStream.start(state.tools, event.index, {\n id: block.id ?? String(event.index),\n name: block.name ?? \"\",\n input:\n block.input !== undefined && (!ProviderShared.isRecord(block.input) || Object.keys(block.input).length > 0)\n ? ProviderShared.encodeJson(block.input)\n : undefined,\n providerExecuted: block.type === \"server_tool_use\",\n }),\n },\n [\n ...events,\n LLMEvent.toolInputStart({\n id: block.id ?? String(event.index),\n name: block.name ?? \"\",\n providerExecuted: block.type === \"server_tool_use\" ? true : undefined,\n }),\n ],\n ]\n }\n\n if (block.type === \"text\" && block.text !== undefined) {\n const events: LLMEvent[] = []\n const id = `text-${event.index ?? 0}`\n const lifecycle = Lifecycle.textStart(state.lifecycle, events, id)\n return [\n { ...state, lifecycle: block.text ? Lifecycle.textDelta(lifecycle, events, id, block.text) : lifecycle },\n events,\n ]\n }\n\n if (block.type === \"thinking\" && block.thinking !== undefined) {\n const events: LLMEvent[] = []\n const id = `reasoning-${event.index ?? 0}`\n const providerMetadata =\n block.signature === undefined ? undefined : anthropicMetadata({ signature: block.signature })\n const lifecycle = Lifecycle.reasoningStart(state.lifecycle, events, id, providerMetadata)\n return [\n {\n ...state,\n lifecycle: block.thinking\n ? Lifecycle.reasoningDelta(lifecycle, events, id, block.thinking, providerMetadata)\n : lifecycle,\n reasoningSignatures:\n event.index === undefined || block.signature === undefined\n ? state.reasoningSignatures\n : { ...state.reasoningSignatures, [event.index]: block.signature },\n },\n events,\n ]\n }\n\n // Redacted thinking surfaces as an empty reasoning part carrying the opaque\n // payload as `redactedData` metadata (same model as Vercel's\n // @ai-sdk/anthropic). The existing content_block_stop closes the part.\n if (block.type === \"redacted_thinking\" && block.data !== undefined) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.reasoningStart(\n state.lifecycle,\n events,\n `reasoning-${event.index ?? 0}`,\n anthropicMetadata({ redactedData: block.data }),\n ),\n },\n events,\n ]\n }\n\n const result = serverToolResultEvent(block)\n if (!result) return [state, NO_EVENTS]\n const events: LLMEvent[] = []\n return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]\n}\n\nconst onContentBlockDelta = Effect.fn(\"AnthropicMessages.onContentBlockDelta\")(function* (\n state: ParserState,\n event: AnthropicEvent,\n) {\n const delta = event.delta\n\n if (delta?.type === \"text_delta\" && delta.text) {\n const events: LLMEvent[] = []\n return [\n { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, `text-${event.index ?? 0}`, delta.text) },\n events,\n ] satisfies StepResult\n }\n\n if (delta?.type === \"thinking_delta\" && delta.thinking) {\n const events: LLMEvent[] = []\n return [\n {\n ...state,\n lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${event.index ?? 0}`, delta.thinking),\n },\n events,\n ] satisfies StepResult\n }\n\n if (delta?.type === \"signature_delta\" && delta.signature) {\n const index = event.index ?? 0\n return [\n {\n ...state,\n reasoningSignatures: { ...state.reasoningSignatures, [index]: delta.signature },\n },\n NO_EVENTS,\n ] satisfies StepResult\n }\n\n if (delta?.type === \"input_json_delta\" && event.index !== undefined) {\n if (!delta.partial_json) return [state, NO_EVENTS] satisfies StepResult\n if (!state.tools[event.index]) return [state, NO_EVENTS] satisfies StepResult\n const result = ToolStream.appendExisting(\n ADAPTER,\n state.tools,\n event.index,\n delta.partial_json,\n \"Anthropic Messages tool argument delta is missing its tool call\",\n )\n if (ToolStream.isError(result)) return yield* result\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult\n }\n\n return [state, NO_EVENTS] satisfies StepResult\n})\n\nconst onContentBlockStop = Effect.fn(\"AnthropicMessages.onContentBlockStop\")(function* (\n state: ParserState,\n event: AnthropicEvent,\n) {\n if (event.index === undefined) return [state, NO_EVENTS] satisfies StepResult\n const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)\n const events: LLMEvent[] = []\n const resultEvents = result.events ?? []\n const signature = state.reasoningSignatures[event.index]\n const lifecycle = resultEvents.length\n ? Lifecycle.stepStart(state.lifecycle, events)\n : Lifecycle.reasoningEnd(\n Lifecycle.textEnd(state.lifecycle, events, `text-${event.index}`),\n events,\n `reasoning-${event.index}`,\n signature === undefined ? undefined : anthropicMetadata({ signature }),\n )\n events.push(...resultEvents)\n const reasoningSignatures = { ...state.reasoningSignatures }\n delete reasoningSignatures[event.index]\n return [{ ...state, lifecycle, tools: result.tools, reasoningSignatures }, events] satisfies StepResult\n})\n\nconst onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult => {\n const usage = mergeUsage(state.usage, mapUsage(event.usage))\n return [\n {\n ...state,\n usage,\n pendingFinish: {\n reason: {\n normalized: mapFinishReason(event.delta?.stop_reason),\n raw: event.delta?.stop_reason ?? undefined,\n },\n providerMetadata:\n event.delta?.stop_sequence === null || event.delta?.stop_sequence === undefined\n ? undefined\n : anthropicMetadata({ stopSequence: event.delta.stop_sequence }),\n },\n },\n NO_EVENTS,\n ]\n}\n\nconst onMessageStop = Effect.fn(\"AnthropicMessages.onMessageStop\")(function* (state: ParserState) {\n const result = yield* ToolStream.finishAll(ADAPTER, state.tools)\n const events: LLMEvent[] = []\n const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle\n events.push(...result.events)\n const finished = Lifecycle.finish(lifecycle, events, {\n reason: state.pendingFinish?.reason ?? {\n normalized: \"unknown\",\n raw: undefined,\n },\n usage: state.usage,\n providerMetadata: state.pendingFinish?.providerMetadata,\n })\n return [{ ...state, lifecycle: finished, tools: result.tools }, events] satisfies StepResult\n})\n\n// Prefix `error.type` so overloads, rate limits, and quota errors are visible\n// even when the provider message is generic or empty.\nconst providerErrorMessage = (event: AnthropicEvent): string => {\n const type = event.error?.type\n const message = event.error?.message\n if (type && message) return `${type}: ${message}`\n return message || type || \"Anthropic Messages stream error\"\n}\n\nconst onError = (event: AnthropicEvent) =>\n new AIError({\n module: ADAPTER,\n method: \"stream\",\n reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }),\n })\n\nconst step = (state: ParserState, event: AnthropicEvent) => {\n if (event.type === \"message_start\") return Effect.succeed(onMessageStart(state, event))\n if (event.type === \"content_block_start\") return Effect.succeed(onContentBlockStart(state, event))\n if (event.type === \"content_block_delta\") return onContentBlockDelta(state, event)\n if (event.type === \"content_block_stop\") return onContentBlockStop(state, event)\n if (event.type === \"message_delta\") return Effect.succeed(onMessageDelta(state, event))\n if (event.type === \"message_stop\") return onMessageStop(state)\n if (event.type === \"error\") return onError(event)\n return Effect.succeed<StepResult>([state, NO_EVENTS])\n}\n\n// =============================================================================\n// Protocol And Anthropic Route\n// =============================================================================\n/**\n * The Anthropic Messages protocol — request body construction, body schema,\n * and the streaming-event state machine shared by Anthropic-compatible and\n * Vertex-hosted Messages routes.\n */\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: AnthropicMessagesBody,\n from: fromRequest,\n },\n stream: {\n event: Protocol.jsonEvent(AnthropicEvent),\n initial: () => ({\n tools: ToolStream.empty<number>(),\n reasoningSignatures: {},\n lifecycle: Lifecycle.initial(),\n }),\n step,\n },\n})\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: \"anthropic\",\n providerMetadataKey: \"anthropic\",\n protocol,\n endpoint: Endpoint.path(PATH, { baseURL: DEFAULT_BASE_URL }),\n auth: Auth.none,\n framing,\n headers: () => ({ \"anthropic-version\": \"2023-06-01\" }),\n})\n\nexport * as AnthropicMessages from \"./anthropic-messages.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "E2F7E556908E00E264756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is too big to display
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/config/mcp.ts"], | ||
| "sourcesContent": [ | ||
| "export * as ConfigMCP from \"./mcp.js\"\n\nimport { Schema } from \"effect\"\nimport { Mcp } from \"../mcp.js\"\nimport { optional } from \"../schema.js\"\n\nexport const Timeout = Mcp.TimeoutConfig\nexport type Timeout = Mcp.TimeoutConfig\nexport const Local = Mcp.LocalConfig\nexport type Local = Mcp.LocalConfig\nexport const OAuth = Mcp.OAuthConfig\nexport type OAuth = Mcp.OAuthConfig\nexport const Remote = Mcp.RemoteConfig\nexport type Remote = Mcp.RemoteConfig\nexport const Server = Mcp.ServerConfig\n\nexport class Info extends Schema.Class<Info>(\"Config.MCP\")({\n timeout: Timeout.pipe(optional),\n servers: Schema.Record(Schema.String, Server).pipe(optional),\n}) {}\n" | ||
| ], | ||
| "mappings": ";2TAMO,IAAM,EAAU,EAAI,cAEd,EAAQ,EAAI,YAEZ,EAAQ,EAAI,YAEZ,EAAS,EAAI,aAEb,EAAS,EAAI,aAEnB,MAAM,UAAa,EAAO,MAAY,YAAY,EAAE,CACzD,QAAS,EAAQ,KAAK,CAAQ,EAC9B,QAAS,EAAO,OAAO,EAAO,OAAQ,CAAM,EAAE,KAAK,CAAQ,CAC7D,CAAC,CAAE,CAAC", | ||
| "debugId": "74C0E71E547EDCDA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../util/src/bom.ts", "../util/src/patch.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Bom from \"./bom.js\"\n\nimport { Effect } from \"effect\"\nimport { FSUtil } from \"./fs-util.js\"\n\nconst code = 0xfeff\nconst value = String.fromCharCode(code)\n\nexport function split(text: string) {\n const stripped = text.replace(/^\\uFEFF+/, \"\")\n return { bom: stripped.length !== text.length, text: stripped }\n}\n\nexport function join(text: string, bom: boolean) {\n const stripped = split(text).text\n return bom ? value + stripped : stripped\n}\n\nexport function has(content: Uint8Array) {\n return content[0] === 0xef && content[1] === 0xbb && content[2] === 0xbf\n}\n\nexport function decodeBytes(content: Uint8Array) {\n return split(decode(content))\n}\n\nexport function syncBytes(content: Uint8Array, bom: boolean) {\n const decoded = decode(content)\n const current = split(decoded)\n const canonical = join(current.text, bom)\n return { text: current.text, bytes: decoded === canonical ? undefined : new TextEncoder().encode(canonical) }\n}\n\nexport const readFile = Effect.fn(\"Bom.readFile\")(function* (fs: FSUtil.Interface, filepath: string) {\n return decodeBytes(yield* fs.readFile(filepath))\n})\n\nexport const syncFile = Effect.fn(\"Bom.syncFile\")(function* (fs: FSUtil.Interface, filepath: string, bom: boolean) {\n const synced = syncBytes(yield* fs.readFile(filepath), bom)\n if (synced.bytes) yield* fs.writeWithDirs(filepath, synced.bytes)\n return synced.text\n})\n\nfunction decode(content: Uint8Array) {\n return new TextDecoder(\"utf-8\", { ignoreBOM: true }).decode(content)\n}\n", | ||
| "export * as Patch from \"./patch.js\"\n\nimport { Result, Schema } from \"effect\"\nimport { Bom } from \"./bom.js\"\n\nexport class BoundaryError extends Schema.TaggedError<BoundaryError>()(\"Patch.BoundaryError\", {\n boundary: Schema.Literals([\"first\", \"last\"]),\n}) {\n override get message() {\n return `The ${this.boundary} line of the patch must be '${this.boundary === \"first\" ? \"*** Begin Patch\" : \"*** End Patch\"}'`\n }\n}\n\nexport class InvalidHunkError extends Schema.TaggedError<InvalidHunkError>()(\"Patch.InvalidHunkError\", {\n line: Schema.String,\n lineNumber: Schema.Number,\n reason: Schema.optional(Schema.String),\n}) {\n override get message() {\n if (this.reason) return `Invalid hunk at line ${this.lineNumber}: ${this.reason}`\n return `Invalid hunk at line ${this.lineNumber}: '${this.line}' is not a valid hunk header. Valid hunk headers: '*** Add File: {path}', '*** Delete File: {path}', '*** Update File: {path}'`\n }\n}\n\nexport type ParseError = BoundaryError | InvalidHunkError\n\nexport type Hunk =\n | { readonly type: \"add\"; readonly path: string; readonly contents: string }\n | { readonly type: \"delete\"; readonly path: string }\n | {\n readonly type: \"update\"\n readonly path: string\n readonly movePath?: string\n readonly chunks: ReadonlyArray<UpdateFileChunk>\n }\n\nexport interface UpdateFileChunk {\n readonly oldLines: ReadonlyArray<string>\n readonly newLines: ReadonlyArray<string>\n readonly changeContext?: string\n readonly endOfFile?: boolean\n}\n\nexport interface FileUpdate {\n readonly content: string\n readonly bom: boolean\n}\n\nexport function parse(patchText: string): Result.Result<ReadonlyArray<Hunk>, ParseError> {\n const lines = stripHeredoc(patchText.trim())\n .split(\"\\n\")\n .map((line) => (line.endsWith(\"\\r\") ? line.slice(0, -1) : line))\n const begin = lines[0]?.trim() === \"*** Begin Patch\" ? 0 : -1\n const end = lines.at(-1)?.trim() === \"*** End Patch\" ? lines.length - 1 : -1\n if (begin === -1) return Result.fail(new BoundaryError({ boundary: \"first\" }))\n if (end === -1 || begin >= end) return Result.fail(new BoundaryError({ boundary: \"last\" }))\n\n const hunks: Hunk[] = []\n let index = begin + 1\n while (index < end) {\n const line = lines[index]!\n const header = line.trim()\n if (\n index === begin + 1 &&\n header.startsWith(\"*** Environment ID:\") &&\n header.slice(\"*** Environment ID:\".length).trim()\n ) {\n index++\n continue\n }\n if (header.startsWith(\"*** Add File: \")) {\n const path = header.slice(\"*** Add File: \".length).trim()\n const parsed = parseAdd(lines, index + 1, end, path)\n if (\"error\" in parsed) return Result.fail(parsed.error)\n hunks.push({ type: \"add\", path, contents: parsed.content })\n index = parsed.next\n continue\n }\n if (header.startsWith(\"*** Delete File: \")) {\n const path = header.slice(\"*** Delete File: \".length).trim()\n const next = lines[index + 1]?.trim()\n if (index + 1 < end && next !== undefined && !isBoundary(next)) {\n if (next.startsWith(\"*** \")) {\n return Result.fail(new InvalidHunkError({ line: next, lineNumber: index + 2 }))\n }\n return Result.fail(\n new InvalidHunkError({\n line: next,\n lineNumber: index + 2,\n reason: `Unexpected line after Delete File '${path}': '${next}'. Delete hunks do not contain body lines`,\n }),\n )\n }\n hunks.push({ type: \"delete\", path })\n index++\n continue\n }\n if (header.startsWith(\"*** Update File: \")) {\n const path = header.slice(\"*** Update File: \".length).trim()\n let next = index + 1\n let movePath: string | undefined\n while (lines[next]?.trimEnd() === \"*** End of File\") next++\n const move = lines[next]?.trimEnd()\n if (move === \"*** Move to:\" || move?.startsWith(\"*** Move to: \")) {\n movePath = move.slice(\"*** Move to: \".length).trim()\n if (!movePath) {\n return Result.fail(\n new InvalidHunkError({\n line: lines[next]!.trim(),\n lineNumber: next + 1,\n reason: `Move destination for '${path}' must not be empty`,\n }),\n )\n }\n next++\n }\n const parsed = parseUpdate(lines, next, end, path, index)\n if (\"error\" in parsed) return Result.fail(parsed.error)\n hunks.push({ type: \"update\", path, movePath, chunks: parsed.chunks })\n index = parsed.next\n continue\n }\n return Result.fail(new InvalidHunkError({ line: header, lineNumber: index + 1 }))\n }\n return Result.succeed(hunks)\n}\n\nexport function derive(path: string, chunks: ReadonlyArray<UpdateFileChunk>, original: string): FileUpdate {\n const source = Bom.split(original)\n const lines = source.text.split(\"\\n\")\n if (lines.at(-1) === \"\") lines.pop()\n const replacements = computeReplacements(lines, path, chunks)\n const updated = [...lines]\n for (const [start, remove, insert] of replacements.toReversed()) updated.splice(start, remove, ...insert)\n if (updated.at(-1) !== \"\") updated.push(\"\")\n const next = Bom.split(updated.join(\"\\n\"))\n return { content: next.text, bom: source.bom || next.bom }\n}\n\nexport function joinBom(text: string, bom: boolean) {\n return Bom.join(text, bom)\n}\n\nfunction parseAdd(\n lines: ReadonlyArray<string>,\n start: number,\n end: number,\n path: string,\n): { content: string; next: number } | { error: InvalidHunkError } {\n const content: string[] = []\n let index = start\n while (index < end && !isBoundary(lines[index]!.trim())) {\n if (!lines[index]!.startsWith(\"+\")) {\n const line = lines[index]!.trim()\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: `Invalid Add File line for '${path}': expected a line starting with '+', got '${line}'`,\n }),\n }\n }\n content.push(lines[index]!.slice(1))\n index++\n }\n return { content: content.join(\"\\n\"), next: index }\n}\n\nfunction parseUpdate(\n lines: ReadonlyArray<string>,\n start: number,\n end: number,\n path: string,\n hunk: number,\n): { chunks: ReadonlyArray<UpdateFileChunk>; next: number } | { error: InvalidHunkError } {\n const chunks: Array<{\n oldLines: string[]\n newLines: string[]\n changeContext?: string\n endOfFile?: boolean\n }> = []\n let index = start\n let afterEndOfFile = false\n while (index < end) {\n const line = lines[index]!\n const updateLine = line.trimEnd()\n if (afterEndOfFile) {\n if (updateLine === \"\") {\n index++\n continue\n }\n if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) afterEndOfFile = false\n else if (isBoundary(updateLine)) break\n else {\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: `Expected update hunk to start with a @@ context marker, got: '${line}'`,\n }),\n }\n }\n }\n if (updateLine === \"*** End of File\") {\n const chunk = chunks.at(-1)\n if (chunk && chunk.oldLines.length === 0 && chunk.newLines.length === 0) {\n return {\n error: new InvalidHunkError({\n line: updateLine,\n lineNumber: index + 1,\n reason: \"Update hunk does not contain any lines\",\n }),\n }\n }\n if (chunk) {\n chunk.endOfFile = true\n afterEndOfFile = true\n }\n index++\n continue\n }\n if (isBoundary(updateLine)) break\n if (updateLine === \"@@\" || updateLine.startsWith(\"@@ \")) {\n const previous = chunks.at(-1)\n if (previous && previous.oldLines.length === 0 && previous.newLines.length === 0) {\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n }),\n }\n }\n chunks.push({\n oldLines: [],\n newLines: [],\n changeContext: updateLine === \"@@\" ? undefined : updateLine.slice(\"@@ \".length),\n })\n index++\n continue\n }\n if (chunks.length === 0) chunks.push({ oldLines: [], newLines: [] })\n const chunk = chunks.at(-1)!\n if (line === \"\") {\n chunk.oldLines.push(\"\")\n chunk.newLines.push(\"\")\n index++\n continue\n }\n if (line.startsWith(\" \")) {\n chunk.oldLines.push(line.slice(1))\n chunk.newLines.push(line.slice(1))\n index++\n continue\n }\n if (line.startsWith(\"-\")) {\n chunk.oldLines.push(line.slice(1))\n index++\n continue\n }\n if (line.startsWith(\"+\")) {\n chunk.newLines.push(line.slice(1))\n index++\n continue\n }\n const populated = chunk.oldLines.length > 0 || chunk.newLines.length > 0\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason: populated\n ? `Expected update hunk to start with a @@ context marker, got: '${line}'`\n : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n }),\n }\n }\n if (chunks.length === 0) {\n return {\n error: new InvalidHunkError({\n line: lines[hunk]!.trim(),\n lineNumber: hunk + 1,\n reason: `Update file hunk for path '${path}' is empty`,\n }),\n }\n }\n const last = chunks.at(-1)!\n if (last.oldLines.length === 0 && last.newLines.length === 0) {\n const line = lines[index]!.trim()\n return {\n error: new InvalidHunkError({\n line,\n lineNumber: index + 1,\n reason:\n line === \"*** End Patch\"\n ? \"Update hunk does not contain any lines\"\n : `Unexpected line found in update hunk: '${line}'. Every line should start with ' ' (context line), '+' (added line), or '-' (removed line)`,\n }),\n }\n }\n return { chunks, next: index }\n}\n\nfunction isBoundary(line: string) {\n return (\n line === \"*** End Patch\" ||\n line.startsWith(\"*** Add File: \") ||\n line.startsWith(\"*** Delete File: \") ||\n line.startsWith(\"*** Update File: \")\n )\n}\n\nfunction computeReplacements(lines: ReadonlyArray<string>, path: string, chunks: ReadonlyArray<UpdateFileChunk>) {\n const replacements: Array<readonly [start: number, remove: number, insert: ReadonlyArray<string>]> = []\n let lineIndex = 0\n for (const chunk of chunks) {\n if (chunk.changeContext) {\n const context = seek(lines, [chunk.changeContext], lineIndex)\n if (context === -1) throw new Error(`Failed to find context '${chunk.changeContext}' in ${path}`)\n lineIndex = context + 1\n }\n if (chunk.oldLines.length === 0) {\n replacements.push([lines.length, 0, chunk.newLines])\n continue\n }\n let oldLines = chunk.oldLines\n let newLines = chunk.newLines\n let found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n if (found === -1 && oldLines.at(-1) === \"\") {\n oldLines = oldLines.slice(0, -1)\n if (newLines.at(-1) === \"\") newLines = newLines.slice(0, -1)\n found = seek(lines, oldLines, lineIndex, chunk.endOfFile)\n }\n if (found === -1 && chunk.oldLines.every((line) => line === \"\")) {\n const expected =\n chunk.oldLines.length === 1 ? \"an expected blank line\" : `${chunk.oldLines.length} consecutive blank lines`\n throw new Error(`Failed to find ${expected} in ${path}`)\n }\n if (found === -1) throw new Error(`Failed to find expected lines in ${path}:\\n${chunk.oldLines.join(\"\\n\")}`)\n replacements.push([found, oldLines.length, newLines])\n lineIndex = found + oldLines.length\n }\n return replacements.toSorted((left, right) => left[0] - right[0])\n}\n\nfunction seek(lines: ReadonlyArray<string>, pattern: ReadonlyArray<string>, start: number, eof = false) {\n if (pattern.length === 0) return -1\n if (eof) {\n const offset = lines.length - pattern.length\n if (offset < start) return -1\n for (const compare of [exact, rstrip, trim, normalized]) {\n if (matches(lines, pattern, offset, compare)) return offset\n }\n return -1\n }\n for (const compare of [exact, rstrip, trim, normalized]) {\n for (let offset = start; offset <= lines.length - pattern.length; offset++) {\n if (matches(lines, pattern, offset, compare)) return offset\n }\n }\n return -1\n}\n\nfunction matches(\n lines: ReadonlyArray<string>,\n pattern: ReadonlyArray<string>,\n offset: number,\n compare: (left: string, right: string) => boolean,\n) {\n return pattern.every((line, index) => compare(lines[offset + index]!, line))\n}\n\nconst exact = (left: string, right: string) => left === right\nconst rstrip = (left: string, right: string) => left.trimEnd() === right.trimEnd()\nconst trim = (left: string, right: string) => left.trim() === right.trim()\nconst normalized = (left: string, right: string) => normalize(left.trim()) === normalize(right.trim())\nconst normalize = (value: string) =>\n value\n .replace(/[‘’‚‛]/g, \"'\")\n .replace(/[“”„‟]/g, '\"')\n .replace(/[‐‑‒–—―−]/g, \"-\")\n .replace(/[\\u00A0\\u2002-\\u200A\\u202F\\u205F\\u3000]/g, \" \")\nconst stripHeredoc = (input: string) => input.match(/^(?:cat\\s+)?<<(['\"]?)(\\w+)\\1\\s*\\n([\\s\\S]*?)\\n\\2\\s*$/)?.[3] ?? input\n" | ||
| ], | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../util/src/session-title-fallback.ts"], | ||
| "sourcesContent": [ | ||
| "export * as SessionTitleFallback from \"./session-title-fallback.js\"\n\nconst pattern = /^(New session|Child session) - \\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}Z$/\n\ninterface Info {\n readonly title?: string\n readonly parentID?: string\n readonly time: {\n readonly created: number\n }\n}\n\n/** Supplies the timestamped title required by compatibility surfaces. */\nexport function withTimestampedFallback(info: Info) {\n return info.title ?? fallback(info)\n}\n\n/** Supplies a compact human label and collapses historical timestamped fallbacks. */\nexport function displayLabel(info: Pick<Info, \"title\" | \"parentID\">) {\n if (!info.title) return info.parentID ? \"Child session\" : \"New session\"\n return info.title.match(pattern)?.[1] ?? info.title\n}\n\n/** Recognizes missing and historical root or child fallback titles. */\nexport function isFallbackTitle(title?: string) {\n return title === undefined || pattern.test(title)\n}\n\n/** Recognizes a missing title or the exact root fallback for this session. */\nexport function isExactRootFallback(info: Pick<Info, \"title\" | \"time\">) {\n return info.title === undefined || info.title === fallback({ time: info.time })\n}\n\nfunction fallback(info: Pick<Info, \"parentID\" | \"time\">) {\n return `${info.parentID ? \"Child\" : \"New\"} session - ${new Date(info.time.created).toISOString()}`\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/mcp/logout.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"node:os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { ServiceConfig } from \"../../../services/service-config\"\nimport { resolveIntegration } from \"./resolve\"\n\nconst location = { directory: process.cwd() }\n\nexport default Runtime.handler(\n Commands.commands.mcp.commands.logout,\n Effect.fn(\"cli.mcp.logout\")(function* (input) {\n const options = yield* ServiceConfig.options()\n const found = yield* Service.discover(options)\n const endpoint = found ?? (yield* Service.ensure(options))\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n\n const integration = yield* resolveIntegration(client, input.name, location)\n if (!integration) {\n process.stdout.write(`No stored credentials for ${input.name}` + EOL)\n return\n }\n\n const credentials = integration.connections.filter((connection) => connection.type === \"credential\")\n if (credentials.length === 0) {\n process.stdout.write(`No stored credentials for ${input.name}` + EOL)\n return\n }\n\n yield* Effect.forEach(\n credentials,\n (connection) => Effect.promise(() => client.credential.remove({ credentialID: connection.id, location })),\n { discard: true },\n )\n process.stdout.write(`Removed OAuth credentials for ${input.name}` + EOL)\n }),\n)\n" | ||
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| "sources": [], | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/bedrock-auth.ts"], | ||
| "sourcesContent": [ | ||
| "import { AwsV4Signer } from \"aws4fetch\"\nimport { Effect } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Auth, type AuthInput } from \"../../route/auth.js\"\nimport { ProviderShared } from \"../shared.js\"\n\n/**\n * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,\n * which provider facades configure as route auth instead of SigV4. STS-vended\n * credentials should be refreshed by the consumer (rebuild the model) before\n * they expire; the route does not refresh.\n */\nexport interface Credentials {\n readonly region: string\n readonly accessKeyId: string\n readonly secretAccessKey: string\n readonly sessionToken?: string\n}\n\nconst signRequest = (input: {\n readonly url: string\n readonly body: string\n readonly headers: Headers.Headers\n readonly credentials: Credentials\n readonly service: string\n readonly name: string\n}) =>\n Effect.tryPromise({\n try: async () => {\n const signed = await new AwsV4Signer({\n url: input.url,\n method: \"POST\",\n headers: Object.entries(input.headers),\n body: input.body,\n region: input.credentials.region,\n accessKeyId: input.credentials.accessKeyId,\n secretAccessKey: input.credentials.secretAccessKey,\n sessionToken: input.credentials.sessionToken,\n service: input.service,\n }).sign()\n return Object.fromEntries(signed.headers.entries())\n },\n catch: (error) =>\n ProviderShared.invalidRequest(\n `${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": "7773E0A9E5FEB01664756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/openai-image.ts", "../ai/src/protocols/open-responses-channel.ts", "../ai/src/protocols/openai-responses-channel.ts", "../ai/src/protocols/openai-responses.ts"], | ||
| "sourcesContent": [ | ||
| "import { Schema } from \"effect\"\n\nconst dimensions = (value: string) => {\n const match = /^(\\d+)x(\\d+)$/.exec(value)\n if (!match) return undefined\n return { width: Number(match[1]), height: Number(match[2]) }\n}\n\nexport const Size = Schema.String.check(\n Schema.makeFilter((value) => {\n if (value === \"auto\") return undefined\n const parsed = dimensions(value)\n if (!parsed) return \"image size must be `auto` or `{width}x{height}`\"\n return parsed.width > 0 && parsed.height > 0 ? undefined : \"image dimensions must be positive integers\"\n }),\n)\n\nexport const OpenAIImage = {\n Size,\n} as const\n", | ||
| "import { Effect, Schema, Stream } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Framing } from \"../route/framing.js\"\nimport {\n HttpTransport,\n WebSocketTransport,\n type Transport,\n type WebSocketChannelDriver,\n type WebSocketChannelExchange,\n} from \"../route/transport/index.js\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst WebSocketResponseCreate = Schema.StructWithRest(Schema.Struct({ type: Schema.tag(\"response.create\") }), [\n Schema.Record(Schema.String, Schema.Unknown),\n])\nconst decodeMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(WebSocketResponseCreate))\nconst encodeMessage = Schema.encodeSync(Schema.fromJsonString(WebSocketResponseCreate))\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\nexport interface Options {\n readonly id: string\n readonly name: string\n readonly rotateAfterMs?: number\n readonly enabled?: (url: string) => boolean\n readonly url?: (url: string) => string\n readonly headers?: (headers: Headers.Headers) => Headers.Headers\n readonly driver?: (input: {\n readonly request: Readonly<Record<string, unknown>>\n readonly message: string\n readonly base: WebSocketChannelDriver\n }) => WebSocketChannelDriver\n}\n\nexport interface Prepared {\n readonly http: HttpTransport.HttpPrepared<string>\n readonly channel?: {\n readonly url: string\n readonly headers: Headers.Headers\n readonly rotateAfterMs?: number\n readonly driver: WebSocketChannelDriver\n }\n}\n\nconst message = (body: unknown) =>\n Effect.gen(function* () {\n if (!ProviderShared.isRecord(body))\n return yield* ProviderShared.invalidRequest(\"Open Responses WebSocket body must be a JSON object\")\n const { stream: _stream, stream_options: _streamOptions, background: _background, ...request } = body\n const decoded = yield* decodeMessage({ ...request, type: \"response.create\" })\n return { request: decoded, message: encodeMessage(decoded) }\n })\n\nconst driver = (options: Options, body: string): WebSocketChannelDriver => {\n let responseID: string | undefined\n let terminal = false\n return {\n create: () =>\n Effect.sync(() => {\n responseID = undefined\n terminal = false\n return { message: body, mode: \"full\" }\n }),\n observe: (_create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `Invalid ${options.name} WebSocket event`, frame),\n ),\n )\n if (terminal)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} after a terminal event`,\n frame,\n )\n if (event.type === \"error\") {\n terminal = true\n yield* OpenResponses.decodeKnownErrorEvent(event).pipe(\n Effect.mapError(() =>\n ProviderShared.eventError(options.id, `${options.name} returned a malformed error event`, frame),\n ),\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} stream error`),\n }\n }\n if (event.type === \"response.failed\") {\n terminal = true\n if (responseID && event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n return {\n type: \"provider-failure\",\n error: OpenResponses.providerFailure(options.id, event, `${options.name} response failed`),\n }\n }\n if (event.type === \"response.created\") {\n const created = event.response?.id\n if (responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted duplicate response.created`,\n frame,\n )\n if (!created)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response.created is missing response.id`,\n frame,\n )\n responseID = created\n return { type: \"frame\", frame }\n }\n if (!responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} emitted ${event.type} before response.created`,\n frame,\n )\n if (event.response?.id && event.response.id !== responseID)\n return yield* ProviderShared.eventError(\n options.id,\n `${options.name} response ID changed during execution`,\n frame,\n )\n if (event.type === \"response.completed\") {\n terminal = true\n return { type: \"completed\", frame }\n }\n if (event.type === \"response.incomplete\") {\n terminal = true\n return { type: \"incomplete\", frame }\n }\n return { type: \"frame\", frame }\n }),\n }\n}\n\nexport const transport = <Body>(options: Options): Transport<Body, Prepared, string> => {\n const http = HttpTransport.sseJson.with<Body>()\n return {\n id: http.id,\n prepare: (input) =>\n Effect.gen(function* () {\n const parts = yield* HttpTransport.jsonRequestParts(input)\n const headers = Headers.remove(options.headers?.(parts.headers) ?? parts.headers, \"content-length\")\n const channel =\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: options.driver?.({ request: create.request, message: create.message, base }) ?? base,\n }\n })\n : undefined\n return {\n http: {\n request: ProviderShared.jsonPost({ url: parts.url, body: parts.bodyText, headers: parts.headers }),\n framing: Framing.sse,\n middleware: input.middleware,\n },\n channel,\n }\n }),\n execute: (prepared, request, runtime, executeOptions) => {\n if (!executeOptions?.webSocket || !prepared.channel) return http.execute(prepared.http, request, runtime)\n const exchange: WebSocketChannelExchange = {\n id: request.id ?? \"request\",\n connect: {\n url: prepared.channel.url,\n headers: prepared.channel.headers,\n rotateAfterMs: prepared.channel.rotateAfterMs,\n },\n fallback: () =>\n Stream.unwrap(\n http.execute(prepared.http, request, runtime).pipe(Effect.map((execution) => execution.frames)),\n ),\n driver: prepared.channel.driver,\n }\n return executeOptions.webSocket.execute(exchange)\n },\n }\n}\n\nexport const OpenResponsesChannel = { transport } as const\n", | ||
| "import { AIError, TransportReason } from \"../schema/index.js\"\nimport type { ChannelCheckpoint, ChannelObservation, WebSocketChannelDriver } from \"../route/transport/index.js\"\nimport { Effect, Option, Schema } from \"effect\"\nimport * as ProviderShared from \"./shared.js\"\nimport { OpenResponses } from \"./open-responses.js\"\n\nconst PROTOCOL = \"openai-responses.websocket.v1\"\nconst VERSION = 1\nconst decodeEvent = Schema.decodeUnknownEffect(OpenResponses.protocol.stream.event)\n\ninterface CheckpointValue {\n readonly version: typeof VERSION\n readonly responseID: string\n readonly request: Readonly<Record<string, unknown>>\n readonly output: ReadonlyArray<unknown>\n}\n\nexport interface DriverInput {\n readonly id: string\n readonly name: string\n readonly request: Readonly<Record<string, unknown>>\n readonly message: string\n readonly base: WebSocketChannelDriver\n}\n\nconst checkpointValue = (checkpoint: ChannelCheckpoint | undefined): CheckpointValue | undefined => {\n if (checkpoint?.protocol !== PROTOCOL || !ProviderShared.isRecord(checkpoint.value)) return undefined\n if (checkpoint.value.version !== VERSION) return undefined\n if (typeof checkpoint.value.responseID !== \"string\" || checkpoint.value.responseID.trim().length === 0)\n return undefined\n if (!ProviderShared.isRecord(checkpoint.value.request) || !Array.isArray(checkpoint.value.output)) return undefined\n return {\n version: VERSION,\n responseID: checkpoint.value.responseID,\n request: checkpoint.value.request,\n output: checkpoint.value.output,\n }\n}\n\nconst canonical = (value: unknown): string => {\n if (value === undefined) return \"undefined\"\n if (Array.isArray(value)) return `[${value.map(canonical).join(\",\")}]`\n if (!ProviderShared.isRecord(value)) return ProviderShared.encodeJson(value)\n return `{${Object.keys(value)\n .sort()\n .map((key) => `${ProviderShared.encodeJson(key)}:${canonical(value[key])}`)\n .join(\",\")}}`\n}\n\nconst json = (value: unknown) => {\n if (typeof value !== \"string\") return value\n return Option.getOrElse(Schema.decodeUnknownOption(ProviderShared.Json)(value), () => value)\n}\n\nconst comparable = (value: unknown) => {\n if (!ProviderShared.isRecord(value)) return value\n if (value.type === \"message\" && value.role === \"assistant\")\n return {\n role: \"assistant\",\n content: value.content,\n ...(value.phase === undefined ? {} : { phase: value.phase }),\n }\n if (value.type === \"function_call\")\n return {\n type: value.type,\n call_id: value.call_id,\n name: value.name,\n arguments: json(value.arguments),\n }\n if (value.type === \"reasoning\")\n return {\n type: value.type,\n summary: value.summary,\n encrypted_content: value.encrypted_content,\n }\n return value\n}\n\nconst invariant = (request: Readonly<Record<string, unknown>>) => {\n const { type: _type, input: _input, previous_response_id: _previousResponseID, ...rest } = request\n return rest\n}\n\nconst incremental = (\n request: Readonly<Record<string, unknown>>,\n checkpoint: CheckpointValue,\n): ReadonlyArray<unknown> | undefined => {\n const input = request.input\n const previousInput = checkpoint.request.input\n if (!Array.isArray(input) || !Array.isArray(previousInput)) return undefined\n if (canonical(invariant(request)) !== canonical(invariant(checkpoint.request))) return undefined\n const baseline = [...previousInput, ...checkpoint.output]\n if (input.length <= baseline.length) return undefined\n if (!baseline.every((item, index) => canonical(comparable(item)) === canonical(comparable(input[index]))))\n return undefined\n return input.slice(baseline.length)\n}\n\nconst code = (event: OpenResponses.Event) => event.code || event.error?.code || event.response?.error?.code || undefined\n\nconst rejected = (\n input: DriverInput,\n observation: Extract<ChannelObservation, { readonly type: \"provider-failure\" }>,\n recovery: \"retry-full\" | \"rotate-and-retry-full\",\n): ChannelObservation => ({\n type: \"rejected\",\n recovery,\n error: new AIError({\n module: input.id,\n method: \"stream\",\n reason: new TransportReason({\n message: observation.error.message,\n transport: \"websocket\",\n operation: \"read\",\n phase: \"receive\",\n delivery: \"rejected\",\n recovery,\n }),\n }),\n})\n\nexport const driver = (input: DriverInput): WebSocketChannelDriver => {\n const { previous_response_id: _previousResponseID, ...request } = input.request\n let output: unknown[] = []\n return {\n create: (checkpoint) =>\n Effect.sync(() => {\n output = []\n const previous = checkpointValue(checkpoint)\n const delta = previous ? incremental(request, previous) : undefined\n if (!previous || !delta) return { message: ProviderShared.encodeJson(request), mode: \"full\" as const }\n return {\n message: ProviderShared.encodeJson({ ...request, input: delta, previous_response_id: previous.responseID }),\n mode: \"incremental\" as const,\n }\n }),\n observe: (create, frame) =>\n Effect.gen(function* () {\n const event = yield* decodeEvent(frame).pipe(\n Effect.mapError(() => ProviderShared.eventError(input.id, `Invalid ${input.name} WebSocket event`, frame)),\n )\n const observation = yield* input.base.observe(create, frame)\n if (event.type === \"response.output_item.done\" && event.item) output.push(event.item)\n if (observation.type === \"provider-failure\") {\n const rejection = code(event)\n if (rejection === \"previous_response_not_found\") return rejected(input, observation, \"retry-full\")\n if (rejection === \"websocket_connection_limit_reached\")\n return rejected(input, observation, \"rotate-and-retry-full\")\n }\n if (observation.type !== \"completed\") return observation\n const responseID = event.response?.id\n if (!responseID || responseID.trim().length === 0) return observation\n return {\n ...observation,\n checkpoint: {\n protocol: PROTOCOL,\n value: { version: VERSION, responseID, request, output: output.slice() } satisfies CheckpointValue,\n },\n }\n }),\n }\n}\n\nexport const OpenAIResponsesChannel = { driver } as const\n", | ||
| "import { Effect, Encoding, Schema } from \"effect\"\nimport { Headers } from \"effect/unstable/http\"\nimport { Route } from \"../route/client.js\"\nimport { Auth } from \"../route/auth.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { HttpTransport } from \"../route/transport/index.js\"\nimport { LLMEvent, LLMRequest, type JsonSchema, type ToolDefinition } from \"../schema/index.js\"\nimport { OpenResponses } from \"./open-responses.js\"\nimport { optionalArray, ProviderShared } from \"./shared.js\"\nimport { Lifecycle } from \"./utils/lifecycle.js\"\nimport { OpenAIImage } from \"./utils/openai-image.js\"\nimport { ToolSchemaProjection } from \"./utils/tool-schema.js\"\nimport { OpenResponsesChannel, type Options } from \"./open-responses-channel.js\"\nimport { OpenAIResponsesChannel } from \"./openai-responses-channel.js\"\n\nconst ADAPTER = \"openai-responses\"\nconst NAME = \"OpenAI Responses\"\nconst WEBSOCKET_PROTOCOL_HEADER = \"responses_websockets=2026-02-06\"\nconst WEBSOCKET_ROTATE_AFTER_MS = 55 * 60 * 1000\nexport const DEFAULT_BASE_URL = \"https://api.openai.com/v1\"\nexport const PATH = OpenResponses.PATH\n\nconst OpenAIResponsesImageGenerationTool = Schema.Struct({\n type: Schema.tag(\"image_generation\"),\n action: Schema.optional(Schema.Literals([\"auto\", \"generate\", \"edit\"])),\n background: Schema.optional(Schema.Literals([\"auto\", \"opaque\", \"transparent\"])),\n input_fidelity: Schema.optional(Schema.Literals([\"low\", \"high\"])),\n output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),\n output_format: Schema.optional(Schema.Literals([\"png\", \"jpeg\", \"webp\"])),\n partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),\n quality: Schema.optional(Schema.Literals([\"auto\", \"low\", \"medium\", \"high\"])),\n size: Schema.optional(OpenAIImage.Size),\n})\n\nconst OpenAIResponsesTools = Schema.Union([OpenResponses.Tool, OpenAIResponsesImageGenerationTool])\n\nconst OpenAIResponsesToolChoice = Schema.Union([\n OpenResponses.ToolChoice,\n Schema.Struct({ type: Schema.tag(\"image_generation\") }),\n])\n\nconst OpenAIResponsesInputItem = Schema.Union([\n Schema.Struct({\n type: Schema.tag(\"message\"),\n id: Schema.optionalKey(Schema.String),\n role: Schema.tag(\"assistant\"),\n content: Schema.Array(Schema.Struct({ type: Schema.tag(\"output_text\"), text: Schema.String })),\n phase: Schema.optionalKey(Schema.NullOr(OpenResponses.MessagePhase)),\n }),\n OpenResponses.InputItem,\n])\n\nconst OpenAIResponsesCoreFields = {\n ...OpenResponses.coreFields,\n input: Schema.Array(OpenAIResponsesInputItem),\n tools: optionalArray(OpenAIResponsesTools),\n tool_choice: Schema.optional(OpenAIResponsesToolChoice),\n}\n\nconst OpenAIResponsesBody = Schema.Struct({\n ...OpenAIResponsesCoreFields,\n stream: Schema.Literal(true),\n})\nexport type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>\n\nconst extension = {\n id: ADAPTER,\n name: NAME,\n messagePhase: (value: unknown) => (value === null ? null : undefined),\n lowerMedia: ({ part, media, request }) => {\n if (request.model.provider !== \"xai\" || media.mime !== \"application/pdf\") return undefined\n return {\n type: \"input_file\",\n filename: part.filename ?? \"document.pdf\",\n file_data: media.base64,\n mime_type: media.mime,\n }\n },\n} satisfies OpenResponses.Extension\n\nconst nativeImageToolInput = (tool: ToolDefinition) => {\n const native = tool.native?.openai\n return ProviderShared.isRecord(native) && native.type === \"image_generation\" ? native : undefined\n}\n\nconst nativeImageTool = (tool: ToolDefinition) => {\n const native = nativeImageToolInput(tool)\n return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined\n}\n\nconst lowerTool = Effect.fn(\"OpenAIResponses.lowerTool\")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {\n const native = nativeImageToolInput(tool)\n if (native !== undefined) {\n if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native\n return yield* ProviderShared.invalidRequest(\"OpenAI Responses image generation tool options are invalid\")\n }\n return yield* OpenResponses.lowerTool(NAME, tool, inputSchema)\n})\n\nconst lowerToolChoice = (toolChoice: NonNullable<LLMRequest[\"toolChoice\"]>, tools: ReadonlyArray<ToolDefinition>) =>\n ProviderShared.matchToolChoice(NAME, toolChoice, {\n auto: () => \"auto\" as const,\n none: () => \"none\" as const,\n required: () => \"required\" as const,\n tool: (name) =>\n tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)\n ? ({ type: \"image_generation\" } as const)\n : { type: \"function\" as const, name },\n })\n\nconst fromRequest = Effect.fn(\"OpenAIResponses.fromRequest\")(function* (request: LLMRequest) {\n const body = yield* OpenResponses.fromRequestWithExtension(\n LLMRequest.update(request, { tools: [], toolChoice: undefined }),\n extension,\n )\n const toolSchemaCompatibility = request.model.compatibility?.toolSchema\n return {\n ...body,\n tools:\n request.tools.length === 0\n ? undefined\n : yield* Effect.forEach(request.tools, (tool) =>\n lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),\n ),\n tool_choice:\n body.tool_choice ?? (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined),\n } satisfies OpenAIResponsesBody\n})\n\ntype HostedToolData = OpenResponses.StreamItem & {\n readonly id: string\n readonly status?: string\n readonly action?: unknown\n readonly queries?: unknown\n readonly results?: unknown\n readonly code?: string\n readonly container_id?: string\n readonly outputs?: unknown\n readonly server_label?: string\n readonly output?: unknown\n readonly result?: string\n readonly output_format?: \"png\" | \"jpeg\" | \"webp\"\n readonly error?: unknown\n}\n\nconst HOSTED_TOOLS = {\n web_search_call: { name: \"web_search\", input: (item) => item.action ?? {} },\n web_search_preview_call: { name: \"web_search_preview\", input: (item) => item.action ?? {} },\n file_search_call: { name: \"file_search\", input: (item) => ({ queries: item.queries ?? [] }) },\n code_interpreter_call: {\n name: \"code_interpreter\",\n input: (item) => ({ code: item.code, container_id: item.container_id }),\n },\n computer_use_call: { name: \"computer_use\", input: (item) => item.action ?? {} },\n image_generation_call: { name: \"image_generation\", input: () => ({}) },\n mcp_call: {\n name: \"mcp\",\n input: (item) => ({ server_label: item.server_label, name: item.name, arguments: item.arguments }),\n },\n local_shell_call: { name: \"local_shell\", input: (item) => item.action ?? {} },\n} as const satisfies Record<string, { readonly name: string; readonly input: (item: HostedToolData) => unknown }>\n\ntype HostedToolType = keyof typeof HOSTED_TOOLS\ntype HostedToolItem = HostedToolData & { readonly type: HostedToolType }\n\nconst isHostedToolItem = (item: OpenResponses.StreamItem): item is HostedToolItem =>\n item.type in HOSTED_TOOLS && typeof item.id === \"string\" && item.id.length > 0\n\nconst hostedToolResult = Effect.fn(\"OpenAIResponses.hostedToolResult\")(function* (item: HostedToolItem) {\n const isError = item.error !== undefined && item.error !== null\n if (item.type === \"image_generation_call\" && item.result) {\n yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(\n Effect.mapError(() => ProviderShared.eventError(ADAPTER, \"OpenAI Responses returned invalid image base64\")),\n )\n const format = item.output_format ?? \"png\"\n return {\n type: \"content\" as const,\n value: [\n {\n type: \"file\" as const,\n uri: `data:image/${format};base64,${item.result}`,\n mime: `image/${format}`,\n },\n ],\n }\n }\n return isError ? { type: \"error\" as const, value: item.error } : { type: \"json\" as const, value: item }\n})\n\nconst onHostedToolDone = Effect.fn(\"OpenAIResponses.onHostedToolDone\")(function* (\n state: OpenResponses.ParserState,\n item: HostedToolItem,\n) {\n const tool = HOSTED_TOOLS[item.type]\n const providerMetadata = OpenResponses.providerMetadata(state, { itemId: item.id })\n const events: LLMEvent[] = []\n const lifecycle = Lifecycle.stepStart(state.lifecycle, events)\n events.push(\n LLMEvent.toolCall({\n id: item.id,\n name: tool.name,\n input: tool.input(item),\n providerExecuted: true,\n providerMetadata,\n }),\n LLMEvent.toolResult({\n id: item.id,\n name: tool.name,\n result: yield* hostedToolResult(item),\n providerExecuted: true,\n providerMetadata,\n }),\n )\n return [{ ...state, lifecycle }, events] satisfies OpenResponses.StepResult\n})\n\nconst step = (state: OpenResponses.ParserState, event: OpenResponses.Event) => {\n if (event.type === \"response.reasoning_text.delta\" || event.type === \"response.reasoning_summary.delta\")\n return event.item_id\n ? Effect.succeed(OpenResponses.onReasoningDelta(state, event, event.item_id))\n : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n if (event.type === \"response.reasoning_text.done\" || event.type === \"response.reasoning_summary.done\")\n return event.item_id\n ? Effect.succeed(OpenResponses.onReasoningDone(state, event))\n : ProviderShared.eventError(ADAPTER, `${event.type} is missing item_id`)\n if (event.type === \"response.output_item.done\" && event.item && isHostedToolItem(event.item))\n return onHostedToolDone(state, event.item)\n return OpenResponses.step(state, event)\n}\n\nexport const protocol = Protocol.make({\n id: ADAPTER,\n body: {\n schema: OpenAIResponsesBody,\n from: fromRequest,\n },\n stream: {\n event: OpenResponses.protocol.stream.event,\n initial: (request) => OpenResponses.initial(request, extension),\n step,\n terminal: OpenResponses.terminal,\n },\n})\n\nconst endpoint = Endpoint.path<OpenAIResponsesBody>(PATH, { baseURL: DEFAULT_BASE_URL })\nconst auth = Auth.none\n\nexport const httpTransport = HttpTransport.sseJson.with<OpenAIResponsesBody>()\nexport const channelTransport = (options: Omit<Options, \"driver\">) =>\n OpenResponsesChannel.transport<OpenAIResponsesBody>({\n ...options,\n driver: (input) => OpenAIResponsesChannel.driver({ id: options.id, name: options.name, ...input }),\n })\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 } },\n})\n\nexport * as OpenAIResponses from \"./openai-responses.js\"\n" | ||
| ], | ||
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| ||
| "debugId": "F2A9415FB88BF60464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/project.ts", "../schema/src/skill.ts", "../schema/src/prompt.ts", "../schema/src/shell.ts", "../schema/src/session-error.ts", "../schema/src/session-id.ts", "../schema/src/permission.ts", "../schema/src/agent.ts", "../schema/src/snapshot.ts", "../schema/src/token-usage.ts", "../schema/src/session-message.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Project from \"./project.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { AbsolutePath, NonNegativeInt, optional } from \"./schema.js\"\nimport { ProjectID } from \"./project-id.js\"\n\nexport const ID = ProjectID\nexport type ID = typeof ID.Type\n\nexport const Vcs = Schema.Literals([\"git\", \"hg\"]).annotate({ identifier: \"Project.Vcs\" })\nexport const Current = Schema.Struct({\n id: ID,\n directory: AbsolutePath,\n canonical: AbsolutePath,\n}).annotate({ identifier: \"Project.Current\" })\nexport interface Current extends Schema.Schema.Type<typeof Current> {}\nexport const Icon = Schema.Struct({\n url: optional(Schema.String),\n override: optional(Schema.String),\n color: optional(Schema.String),\n}).annotate({ identifier: \"Project.Icon\" })\nexport interface Icon extends Schema.Schema.Type<typeof Icon> {}\nexport const Commands = Schema.Struct({\n start: optional(\n Schema.String.annotate({ description: \"Startup script to run when creating a new workspace (worktree)\" }),\n ),\n}).annotate({ identifier: \"Project.Commands\" })\nexport interface Commands extends Schema.Schema.Type<typeof Commands> {}\nexport const Time = Schema.Struct({\n created: NonNegativeInt,\n updated: NonNegativeInt,\n initialized: optional(NonNegativeInt),\n}).annotate({ identifier: \"Project.Time\" })\nexport interface Time extends Schema.Schema.Type<typeof Time> {}\n\nexport const Info = Schema.Struct({\n id: ID,\n canonical: AbsolutePath,\n vcs: optional(Vcs),\n name: optional(Schema.String),\n icon: optional(Icon),\n commands: optional(Commands),\n time: Time,\n sandboxes: Schema.Array(Schema.String),\n}).annotate({ identifier: \"Project\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nconst Updated = ephemeral({ type: \"project.updated\", schema: Info.fields })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n", | ||
| "export * as Skill from \"./skill.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { AbsolutePath } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Skill.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Skill.Name\"))\nexport type Name = typeof Name.Type\n\nexport interface DirectorySource extends Schema.Schema.Type<typeof DirectorySource> {}\nexport const DirectorySource = Schema.Struct({\n type: Schema.tag(\"directory\"),\n path: AbsolutePath,\n}).annotate({ identifier: \"Skill.DirectorySource\" })\n\nexport interface UrlSource extends Schema.Schema.Type<typeof UrlSource> {}\nexport const UrlSource = Schema.Struct({\n type: Schema.tag(\"url\"),\n url: Schema.String,\n}).annotate({ identifier: \"Skill.UrlSource\" })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n name: Name,\n description: Schema.String.pipe(optional),\n slash: Schema.Boolean.pipe(optional),\n autoinvoke: Schema.Boolean.pipe(optional),\n location: AbsolutePath,\n content: Schema.String,\n}).annotate({ identifier: \"Skill.Info\" })\n\nconst Updated = ephemeral({ type: \"skill.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface EmbeddedSource extends Schema.Schema.Type<typeof EmbeddedSource> {}\nexport const EmbeddedSource = Schema.Struct({\n type: Schema.tag(\"embedded\"),\n skill: Schema.suspend(() => Info),\n}).annotate({ identifier: \"Skill.EmbeddedSource\" })\n\nexport type Source = DirectorySource | UrlSource | EmbeddedSource\nexport const Source = Object.assign(\n Schema.Union([DirectorySource, UrlSource, EmbeddedSource]).pipe(\n Schema.toTaggedUnion(\"type\"),\n Schema.annotate({ identifier: \"Skill.Source\" }),\n ),\n {\n equals: (a: Source, b: Source) => {\n if (a.type !== b.type) return false\n if (a.type === \"directory\" && b.type === \"directory\") return a.path === b.path\n if (a.type === \"url\" && b.type === \"url\") return a.url === b.url\n if (a.type === \"embedded\" && b.type === \"embedded\") return a.skill.id === b.skill.id\n return false\n },\n key: (source: Source) =>\n source.type === \"directory\"\n ? `directory:${source.path}`\n : source.type === \"url\"\n ? `url:${source.url}`\n : `embedded:${source.skill.id}`,\n },\n)\n", | ||
| "import { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { statics } from \"./schema.js\"\nimport { Skill } from \"./skill.js\"\n\nexport interface PromptMention extends Schema.Schema.Type<typeof PromptMention> {}\nexport const PromptMention = Schema.Struct({\n start: Schema.Finite,\n end: Schema.Finite,\n text: Schema.String,\n}).annotate({ identifier: \"Prompt.Mention\" })\n\nexport const FileSource = Schema.Union([\n Schema.Struct({ type: Schema.Literal(\"inline\") }),\n Schema.Struct({ type: Schema.Literal(\"uri\"), uri: Schema.String }),\n])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Prompt.FileSource\" })\nexport type FileSource = typeof FileSource.Type\n\nexport const Base64 = Schema.String.check(\n Schema.isPattern(/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/),\n).annotate({ identifier: \"Prompt.Base64\" })\nexport type Base64 = typeof Base64.Type\n\nexport interface FileAttachment extends Schema.Schema.Type<typeof FileAttachment> {}\nexport const FileAttachment = Schema.Struct({\n data: Base64,\n mime: Schema.String,\n source: FileSource,\n name: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n mention: PromptMention.pipe(optional),\n})\n .annotate({ identifier: \"Prompt.FileAttachment\" })\n .pipe(\n statics((schema) => ({\n create: (input: FileAttachment) =>\n schema.make({\n data: input.data,\n mime: input.mime,\n source: input.source,\n name: input.name,\n description: input.description,\n mention: input.mention,\n }),\n })),\n )\n\nexport interface AgentAttachment extends Schema.Schema.Type<typeof AgentAttachment> {}\nexport const AgentAttachment = Schema.Struct({\n name: Schema.String,\n mention: PromptMention.pipe(optional),\n}).annotate({ identifier: \"Prompt.AgentAttachment\" })\n\nexport interface SkillAttachment extends Schema.Schema.Type<typeof SkillAttachment> {}\nexport const SkillAttachment = Schema.Struct({\n id: Skill.ID,\n name: Skill.Name,\n mention: PromptMention.pipe(optional),\n}).annotate({ identifier: \"Prompt.SkillAttachment\" })\n\nexport interface Prompt extends Schema.Schema.Type<typeof Prompt> {}\nexport const Prompt = Schema.Struct({\n text: Schema.String,\n files: Schema.Array(FileAttachment).pipe(optional),\n agents: Schema.Array(AgentAttachment).pipe(optional),\n skills: Schema.Array(SkillAttachment).pipe(optional),\n})\n .annotate({ identifier: \"Prompt\" })\n .pipe(\n statics((schema) => ({\n equivalence: Schema.toEquivalence(schema),\n fromUserMessage: (input: Pick<Prompt, \"text\" | \"files\" | \"agents\" | \"skills\">) =>\n schema.make({\n text: input.text,\n ...(input.files === undefined ? {} : { files: input.files }),\n ...(input.agents === undefined ? {} : { agents: input.agents }),\n ...(input.skills === undefined ? {} : { skills: input.skills }),\n }),\n })),\n )\n", | ||
| "export * as Shell from \"./shell.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { NonNegativeInt, statics } from \"./schema.js\"\n\nconst IDSchema = Schema.String.check(Schema.isStartsWith(\"sh_\")).pipe(Schema.brand(\"Shell.ID\"))\n\nexport const ID = IDSchema.pipe(\n statics((schema: typeof IDSchema) => {\n const create = () => schema.make(\"sh_\" + ascending())\n return {\n create,\n ascending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n }\n }),\n)\nexport type ID = typeof ID.Type\n\nexport const Status = Schema.Literals([\"running\", \"exited\", \"timeout\", \"killed\"])\nexport type Status = typeof Status.Type\n\nexport const Time = Schema.Struct({\n started: Schema.Finite,\n completed: optional(Schema.Finite),\n})\nexport interface Time extends Schema.Schema.Type<typeof Time> {}\n\n// Opaque caller-supplied tags echoed back on Info and events. The Shell service never interprets\n// these; callers (e.g. ShellTool stores the originating session ID) use them to filter or correlate.\nexport const Metadata = Schema.Record(Schema.String, Schema.Unknown)\nexport type Metadata = typeof Metadata.Type\n\nexport const Info = Schema.Struct({\n id: ID,\n status: Status,\n command: Schema.String,\n cwd: Schema.String,\n shell: Schema.String,\n // Absolute path of the file capturing combined stdout/stderr. Page through it via `output`.\n file: Schema.String,\n pid: optional(NonNegativeInt),\n exit: optional(Schema.Finite),\n // Always present; defaults to an empty object when the creator supplies no metadata.\n metadata: Metadata,\n time: Time,\n}).annotate({ identifier: \"Shell.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n\nconst Created = ephemeral({ type: \"shell.created\", schema: { info: Info } })\nconst Exited = ephemeral({ type: \"shell.exited\", schema: { id: ID, exit: optional(Schema.Finite), status: Status } })\nconst Deleted = ephemeral({ type: \"shell.deleted\", schema: { id: ID } })\nexport const Event = { Created, Exited, Deleted, Definitions: inventory(Created, Exited, Deleted) }\n\nexport const CreateInput = Schema.Struct({\n command: Schema.String,\n cwd: optional(Schema.String),\n timeout: NonNegativeInt,\n metadata: optional(Metadata),\n})\nexport interface CreateInput extends Schema.Schema.Type<typeof CreateInput> {}\n\nexport const OutputInput = Schema.Struct({\n cursor: optional(NonNegativeInt),\n limit: optional(NonNegativeInt),\n})\nexport interface OutputInput extends Schema.Schema.Type<typeof OutputInput> {}\n\nexport const Output = Schema.Struct({\n output: Schema.String,\n // Absolute cursor after this page. Equals `size` once fully caught up.\n cursor: NonNegativeInt,\n // Total bytes captured so far. A consumer has more to page while `cursor < size`.\n size: NonNegativeInt,\n truncated: Schema.Boolean,\n})\nexport interface Output extends Schema.Schema.Type<typeof Output> {}\n", | ||
| "export * as SessionError from \"./session-error.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\n\nexport interface Error extends Schema.Schema.Type<typeof Error> {}\nexport const Error = Schema.Struct({\n type: Schema.String,\n message: Schema.String,\n status: Schema.Int.check(Schema.isBetween({ minimum: 100, maximum: 599 })).pipe(optional),\n}).annotate({ identifier: \"Session.StructuredError\" })\n", | ||
| "import { Schema } from \"effect\"\nimport { descending } from \"./identifier.js\"\nimport { statics } from \"./schema.js\"\n\nexport const SessionID = Schema.String.check(Schema.isStartsWith(\"ses\")).pipe(\n Schema.brand(\"SessionID\"),\n statics((schema) => {\n const create = () => schema.make(\"ses_\" + descending())\n return {\n create,\n descending: (id?: string) => (id === undefined ? create() : schema.make(id)),\n }\n }),\n)\nexport type SessionID = typeof SessionID.Type\n", | ||
| "export * as Permission from \"./permission.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { ascending } from \"./identifier.js\"\nimport { SessionID } from \"./session-id.js\"\nimport { statics } from \"./schema.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"per\")).pipe(\n Schema.brand(\"Permission.ID\"),\n statics((schema) => ({ create: (id?: string) => schema.make(id ?? \"per_\" + ascending()) })),\n)\nexport type ID = typeof ID.Type\n\nexport const Source = Schema.Union([\n Schema.Struct({\n type: Schema.Literal(\"tool\"),\n messageID: Schema.String,\n id: Schema.String,\n }),\n]).annotate({ identifier: \"Permission.Source\" })\nexport type Source = typeof Source.Type\n\nconst RequestFields = {\n sessionID: SessionID,\n action: Schema.String,\n resources: Schema.Array(Schema.String),\n save: Schema.Array(Schema.String).pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n source: Source.pipe(optional),\n}\n\nexport const Request = Schema.Struct({\n id: ID,\n ...RequestFields,\n}).annotate({ identifier: \"Permission.Request\" })\nexport interface Request extends Schema.Schema.Type<typeof Request> {}\n\nexport const Reply = Schema.Literals([\"once\", \"always\", \"reject\"]).annotate({ identifier: \"Permission.Reply\" })\nexport type Reply = typeof Reply.Type\n\nconst Asked = ephemeral({ type: \"permission.asked\", schema: Request.fields })\nconst Replied = ephemeral({\n type: \"permission.replied\",\n schema: {\n sessionID: SessionID,\n requestID: ID,\n reply: Reply,\n },\n})\nexport const Event = { Asked, Replied, Definitions: inventory(Asked, Replied) }\n\nexport const Effect = Schema.Literals([\"allow\", \"deny\", \"ask\"]).annotate({ identifier: \"Permission.Effect\" })\nexport type Effect = typeof Effect.Type\n\nexport interface Rule extends Schema.Schema.Type<typeof Rule> {}\nexport const Rule = Schema.Struct({\n action: Schema.String,\n resource: Schema.String,\n effect: Effect,\n}).annotate({ identifier: \"Permission.Rule\" })\n\nexport const Ruleset = Schema.Array(Rule).annotate({ identifier: \"Permission.Ruleset\" })\nexport type Ruleset = typeof Ruleset.Type\n", | ||
| "export * as Agent from \"./agent.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Permission } from \"./permission.js\"\nimport { Provider } from \"./provider.js\"\nimport { PositiveInt, statics } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"agent.updated\", schema: {} })\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Agent.ID\"))\nexport type ID = typeof ID.Type\n\nexport const Name = Schema.String.pipe(Schema.brand(\"Agent.Name\"))\nexport type Name = typeof Name.Type\n\nexport const Color = Schema.String.annotate({ identifier: \"Agent.Color\" })\nexport type Color = typeof Color.Type\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n id: ID,\n name: Name,\n model: Model.Ref.pipe(optional),\n request: Provider.Request,\n system: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n mode: Schema.Literals([\"subagent\", \"primary\", \"all\"]),\n hidden: Schema.Boolean,\n color: Color.pipe(optional),\n steps: PositiveInt.pipe(optional),\n permissions: Permission.Ruleset,\n})\n .annotate({ identifier: \"Agent.Info\" })\n .pipe(\n statics(() => ({\n default: (id: ID) =>\n ({\n id,\n name: Name.make(id),\n request: { settings: {}, headers: {}, body: {} },\n mode: \"primary\",\n hidden: false,\n permissions: [\n { action: \"*\", resource: \"*\", effect: \"allow\" },\n { action: \"external_directory\", resource: \"*\", effect: \"ask\" },\n { action: \"read\", resource: \"*.env\", effect: \"ask\" },\n { action: \"read\", resource: \"*.env.*\", effect: \"ask\" },\n { action: \"read\", resource: \"*.env.example\", effect: \"allow\" },\n ],\n }) satisfies Info,\n })),\n )\n\nexport const Event = {\n Updated,\n Definitions: inventory(Updated),\n}\n", | ||
| "export * as Snapshot from \"./snapshot.js\"\n\nimport { Schema } from \"effect\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"Snapshot.ID\"))\nexport type ID = typeof ID.Type\n", | ||
| "export * as TokenUsage from \"./token-usage.js\"\n\nimport { Schema } from \"effect\"\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n input: Schema.Finite,\n output: Schema.Finite,\n reasoning: Schema.Finite,\n cache: Schema.Struct({\n read: Schema.Finite,\n write: Schema.Finite,\n }),\n}).annotate({ identifier: \"TokenUsage.Info\" })\n", | ||
| "export * as SessionMessage from \"./session-message.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { Content } from \"./tool.js\"\nimport { Location } from \"./location.js\"\nimport { Model } from \"./model.js\"\nimport { Project } from \"./project.js\"\nimport { Prompt } from \"./prompt.js\"\nimport { DateTimeUtcFromMillis, PositiveInt, RelativePath, statics } from \"./schema.js\"\nimport { ascending } from \"./identifier.js\"\nimport { Event } from \"./event.js\"\nimport { Shell as ShellSchema } from \"./shell.js\"\nimport { FinishReason } from \"./llm.js\"\nimport { SessionError } from \"./session-error.js\"\nimport { Agent } from \"./agent.js\"\nimport { Skill as SkillSchema } from \"./skill.js\"\nimport { Money } from \"./money.js\"\nimport { Snapshot } from \"./snapshot.js\"\nimport { TokenUsage } from \"./token-usage.js\"\n\nexport const ID = Schema.String.check(Schema.isStartsWith(\"msg_\")).pipe(\n Schema.brand(\"Session.Message.ID\"),\n statics((schema) => ({\n create: () => schema.make(\"msg_\" + ascending()),\n fromEvent: (eventID: Event.ID) => schema.make(eventID.replace(/^evt_/, \"msg_\")),\n })),\n)\nexport type ID = typeof ID.Type\n\nconst Base = {\n id: ID,\n metadata: Schema.Record(Schema.String, Schema.Unknown).pipe(optional),\n time: Schema.Struct({ created: DateTimeUtcFromMillis }),\n}\n\nexport const ProviderState = Schema.Record(Schema.String, Schema.Unknown).annotate({\n identifier: \"Session.Message.ProviderState\",\n})\nexport type ProviderState = typeof ProviderState.Type\n\nexport interface AgentSelected extends Schema.Schema.Type<typeof AgentSelected> {}\nexport const AgentSelected = Schema.Struct({\n ...Base,\n type: Schema.tag(\"agent-switched\"),\n agent: Agent.ID,\n previous: Agent.ID.pipe(optional),\n}).annotate({ identifier: \"Session.Message.AgentSelected\" })\n\nexport interface ModelSelected extends Schema.Schema.Type<typeof ModelSelected> {}\nexport const ModelSelected = Schema.Struct({\n ...Base,\n type: Schema.tag(\"model-switched\"),\n model: Model.Ref,\n previous: Model.Ref.pipe(optional),\n}).annotate({ identifier: \"Session.Message.ModelSelected\" })\n\nexport interface LocationSwitched extends Schema.Schema.Type<typeof LocationSwitched> {}\nexport const LocationSwitched = Schema.Struct({\n ...Base,\n type: Schema.tag(\"location-switched\"),\n location: Location.Ref,\n projectID: Project.ID.pipe(optional),\n subpath: RelativePath.pipe(optional),\n previous: Schema.Struct({\n location: Location.Ref,\n projectID: Project.ID.pipe(optional),\n subpath: RelativePath.pipe(optional),\n }).pipe(optional),\n}).annotate({ identifier: \"Session.Message.LocationSwitched\" })\n\nexport interface User extends Schema.Schema.Type<typeof User> {}\nexport const User = Schema.Struct({\n ...Base,\n text: Prompt.fields.text,\n files: Prompt.fields.files,\n agents: Prompt.fields.agents,\n skills: Prompt.fields.skills,\n type: Schema.tag(\"user\"),\n}).annotate({ identifier: \"Session.Message.User\" })\n\nexport interface Synthetic extends Schema.Schema.Type<typeof Synthetic> {}\nexport const Synthetic = Schema.Struct({\n ...Base,\n text: Schema.String,\n description: Schema.String.pipe(optional),\n type: Schema.tag(\"synthetic\"),\n}).annotate({ identifier: \"Session.Message.Synthetic\" })\n\nexport interface System extends Schema.Schema.Type<typeof System> {}\nexport const System = Schema.Struct({\n ...Base,\n type: Schema.tag(\"system\"),\n /** The model-facing update text, frozen at emit time. */\n text: Schema.String,\n /** A short human-readable summary for transcript display. */\n description: Schema.String.pipe(optional),\n}).annotate({ identifier: \"Session.Message.System\" })\n\nexport interface Skill extends Schema.Schema.Type<typeof Skill> {}\nexport const Skill = Schema.Struct({\n ...Base,\n type: Schema.tag(\"skill\"),\n skill: SkillSchema.ID,\n name: SkillSchema.Name,\n text: Schema.String,\n}).annotate({ identifier: \"Session.Message.Skill\" })\n\nexport interface Shell extends Schema.Schema.Type<typeof Shell> {}\nexport const Shell = Schema.Struct({\n ...Base,\n type: Schema.tag(\"shell\"),\n shellID: ShellSchema.ID,\n command: Schema.String,\n status: ShellSchema.Status,\n exit: Schema.Number.pipe(optional),\n output: ShellSchema.Output.pipe(optional),\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n completed: DateTimeUtcFromMillis.pipe(optional),\n }),\n}).annotate({ identifier: \"Session.Message.Shell\" })\n\nexport interface ToolStateStreaming extends Schema.Schema.Type<typeof ToolStateStreaming> {}\nexport const ToolStateStreaming = Schema.Struct({\n status: Schema.tag(\"streaming\"),\n input: Schema.String,\n}).annotate({ identifier: \"Session.Message.ToolState.Streaming\" })\n\nexport interface ToolStateRunning extends Schema.Schema.Type<typeof ToolStateRunning> {}\nexport const ToolStateRunning = Schema.Struct({\n status: Schema.tag(\"running\"),\n input: Schema.Record(Schema.String, Schema.Unknown),\n metadata: Schema.Record(Schema.String, Schema.Json),\n}).annotate({ identifier: \"Session.Message.ToolState.Running\" })\n\nexport interface ToolStateCompleted extends Schema.Schema.Type<typeof ToolStateCompleted> {}\nexport const ToolStateCompleted = Schema.Struct({\n status: Schema.tag(\"completed\"),\n input: Schema.Record(Schema.String, Schema.Unknown),\n content: Schema.NonEmptyArray(Content),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Completed\" })\n\nexport interface ToolStateError extends Schema.Schema.Type<typeof ToolStateError> {}\nexport const ToolStateError = Schema.Struct({\n status: Schema.tag(\"error\"),\n input: Schema.Record(Schema.String, Schema.Unknown),\n error: SessionError.Error,\n content: Schema.NonEmptyArray(Content).pipe(optional),\n metadata: Schema.Record(Schema.String, Schema.Json).pipe(optional),\n}).annotate({ identifier: \"Session.Message.ToolState.Error\" })\n\nexport const ToolState = Schema.Union([ToolStateStreaming, ToolStateRunning, ToolStateCompleted, ToolStateError]).pipe(\n Schema.toTaggedUnion(\"status\"),\n)\nexport type ToolState = ToolStateStreaming | ToolStateRunning | ToolStateCompleted | ToolStateError\n\nexport interface AssistantTool extends Schema.Schema.Type<typeof AssistantTool> {}\nexport const AssistantTool = Schema.Struct({\n type: Schema.tag(\"tool\"),\n id: Schema.String,\n name: Schema.String,\n executed: Schema.Boolean.pipe(optional),\n providerState: ProviderState.pipe(optional),\n providerResultState: ProviderState.pipe(optional),\n state: ToolState,\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n ran: DateTimeUtcFromMillis.pipe(optional),\n completed: DateTimeUtcFromMillis.pipe(optional),\n }),\n}).annotate({ identifier: \"Session.Message.Assistant.Tool\" })\n\nexport interface AssistantText extends Schema.Schema.Type<typeof AssistantText> {}\nexport const AssistantText = Schema.Struct({\n type: Schema.tag(\"text\"),\n text: Schema.String,\n state: ProviderState.pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Text\" })\n\nexport interface AssistantReasoning extends Schema.Schema.Type<typeof AssistantReasoning> {}\nexport const AssistantReasoning = Schema.Struct({\n type: Schema.tag(\"reasoning\"),\n text: Schema.String,\n state: ProviderState.pipe(optional),\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n completed: DateTimeUtcFromMillis.pipe(optional),\n }).pipe(optional),\n}).annotate({ identifier: \"Session.Message.Assistant.Reasoning\" })\n\nexport const AssistantContent = Schema.Union([AssistantText, AssistantReasoning, AssistantTool]).pipe(\n Schema.toTaggedUnion(\"type\"),\n)\nexport type AssistantContent = AssistantText | AssistantReasoning | AssistantTool\n\nexport interface AssistantRetry extends Schema.Schema.Type<typeof AssistantRetry> {}\nexport const AssistantRetry = Schema.Struct({\n attempt: PositiveInt,\n at: DateTimeUtcFromMillis,\n error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Assistant.Retry\" })\n\nexport interface Assistant extends Schema.Schema.Type<typeof Assistant> {}\nexport const Assistant = Schema.Struct({\n ...Base,\n type: Schema.tag(\"assistant\"),\n agent: Agent.ID,\n model: Model.Ref,\n content: AssistantContent.pipe(Schema.Array),\n snapshot: Schema.Struct({\n start: Snapshot.ID.pipe(optional),\n end: Snapshot.ID.pipe(optional),\n files: Schema.Array(RelativePath).pipe(optional),\n }).pipe(optional),\n finish: FinishReason.pipe(optional),\n rawFinish: Schema.String.pipe(optional),\n providerState: ProviderState.pipe(optional),\n cost: Money.USD.pipe(optional),\n tokens: TokenUsage.Info.pipe(optional),\n error: SessionError.Error.pipe(optional),\n retry: AssistantRetry.pipe(optional),\n time: Schema.Struct({\n created: DateTimeUtcFromMillis,\n completed: DateTimeUtcFromMillis.pipe(optional),\n }),\n}).annotate({ identifier: \"Session.Message.Assistant\" })\n\nconst CompactionBase = { type: Schema.tag(\"compaction\"), ...Base }\n\nexport interface CompactionRunning extends Schema.Schema.Type<typeof CompactionRunning> {}\nexport const CompactionRunning = Schema.Struct({\n ...CompactionBase,\n status: Schema.tag(\"running\"),\n reason: Schema.Literals([\"auto\", \"manual\"]),\n summary: Schema.String,\n recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Running\" })\n\nexport interface CompactionCompleted extends Schema.Schema.Type<typeof CompactionCompleted> {}\nexport const CompactionCompleted = Schema.Struct({\n ...CompactionBase,\n status: Schema.tag(\"completed\"),\n reason: Schema.Literals([\"auto\", \"manual\"]),\n summary: Schema.String,\n recent: Schema.String,\n}).annotate({ identifier: \"Session.Message.Compaction.Completed\" })\n\nexport interface CompactionFailed extends Schema.Schema.Type<typeof CompactionFailed> {}\nexport const CompactionFailed = Schema.Struct({\n ...CompactionBase,\n status: Schema.tag(\"failed\"),\n reason: Schema.Literals([\"auto\", \"manual\"]),\n error: SessionError.Error,\n}).annotate({ identifier: \"Session.Message.Compaction.Failed\" })\n\nexport const Compaction = Schema.Union([CompactionRunning, CompactionCompleted, CompactionFailed]).pipe(\n Schema.toTaggedUnion(\"status\"),\n Schema.annotate({ identifier: \"Session.Message.Compaction\" }),\n)\nexport type Compaction = CompactionRunning | CompactionCompleted | CompactionFailed\n\nexport const Info = Schema.Union([\n AgentSelected,\n ModelSelected,\n LocationSwitched,\n User,\n Synthetic,\n System,\n Skill,\n Shell,\n Assistant,\n Compaction,\n]).annotate({ identifier: \"Session.Message.Info\" })\nexport type Info =\n | AgentSelected\n | ModelSelected\n | LocationSwitched\n | User\n | Synthetic\n | System\n | Skill\n | Shell\n | Assistant\n | Compaction\nexport type Type = Info[\"type\"]\n" | ||
| ], | ||
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| ||
| "debugId": "0B95E68F8426EC6564756E2164756E21", | ||
| "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\"\n\nexport type RunCommandInput = {\n server: ServerConnection.Resolved\n message: string[]\n continue?: boolean\n session?: string\n fork?: boolean\n model?: string\n agent?: string\n format: \"default\" | \"json\"\n file: string[]\n title?: string\n thinking?: boolean\n auto?: boolean\n}\n\ntype FilePart = {\n url: string\n filename: string\n mime: string\n}\n\ntype Prepared = {\n directory?: string\n message: string\n files: FilePart[]\n}\n\ntype ExecutionOptions = {\n root?: string\n directory?: string\n useServerDirectory?: boolean\n variant?: string\n attached?: boolean\n compatibility?: \"v1\"\n}\n\nclass RunTargetError extends Error {\n constructor(\n message: string,\n readonly sessionID?: string,\n ) {\n super(message)\n }\n}\n\nconst ATTACH_FILE_MAX_BYTES = 10 * 1024 * 1024\n\nexport function runNonInteractive(input: RunCommandInput) {\n return runNonInteractiveWithOptions(input, {})\n}\n\n/** @internal Used only by the V1 command boundary. */\nexport function runNonInteractiveWithOptions(input: RunCommandInput, options: ExecutionOptions) {\n return run(input, options).catch((error) => reportRunError(input, errorMessage(error)))\n}\n\nasync function run(input: RunCommandInput, options: ExecutionOptions) {\n if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n const root = options.root ?? process.env.PWD ?? process.cwd()\n const local = localDirectory(root)\n const directory = options.useServerDirectory ? undefined : (options.directory ?? local)\n const message = mergeInput(formatMessage(input.message), process.stdin.isTTY ? undefined : await readStdin())\n if (!message?.trim()) fail(\"You must provide a message\")\n const files = await Promise.all(input.file.map((file) => prepareFile(file, root, options)))\n const prepared = { directory, message, files }\n return execute(input, prepared, input.server.endpoint, options)\n}\n\nasync function execute(input: RunCommandInput, prepared: Prepared, endpoint: Endpoint, options: ExecutionOptions) {\n const client = OpenCode.make({\n baseUrl: endpoint.url,\n headers: Service.headers(endpoint),\n // Bun's default five-minute deadline terminates the event stream used by long-running sessions.\n fetch: ((request: RequestInfo | URL, init?: RequestInit) =>\n fetch(request, { ...init, timeout: false } as BunFetchRequestInit)) as typeof fetch,\n })\n const explicit = parseRunModel(input.model)\n const target = await resolveSessionTarget({\n client,\n location: prepared.directory ? { directory: prepared.directory } : undefined,\n continue: input.continue,\n session: input.session,\n fork: input.fork,\n model: explicit\n ? { providerID: explicit.model.providerID, id: explicit.model.modelID, variant: explicit.variant }\n : undefined,\n agent: input.agent,\n environment: input.server.service ? Env.session() : undefined,\n prepare: async (next) => {\n const selected =\n next.model ??\n (options.variant\n ? await client.model\n .default({ location: { directory: next.location.directory, workspace: next.location.workspaceID } })\n .then((result) => result.data)\n : undefined)\n const model = selected\n ? {\n providerID: selected.providerID,\n id: selected.id,\n variant: options.variant ?? (\"variant\" in selected ? selected.variant : undefined),\n }\n : undefined\n if ((options.variant ?? explicit?.variant) && !model)\n throw new RunTargetError(\"Cannot select a variant before selecting a model\", next.session?.id)\n return { model, agent: next.agent }\n },\n }).catch((error) => {\n if (!(error instanceof RunTargetError)) throw error\n reportRunError(input, error.message, error.sessionID)\n return undefined\n })\n if (!target) return\n const model = target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined\n const variant = target.model?.variant\n if (!target.resume && input.title !== undefined) {\n await client.session.rename({\n sessionID: target.session.id,\n title: input.title || prepared.message.slice(0, 50) + (prepared.message.length > 50 ? \"...\" : \"\"),\n })\n }\n\n await runNonInteractivePrompt({\n client,\n sessionID: target.session.id,\n location: target.location,\n message: prepared.message,\n files: prepared.files,\n agent: target.agent,\n model,\n variant,\n thinking: input.thinking ?? false,\n format: input.format,\n auto: input.auto ?? false,\n attached: options.attached ?? true,\n compatibility: options.compatibility,\n renderTool: (part) => renderTool(part, target.location.directory),\n renderToolError: (part) => renderToolError(part, target.location.directory),\n }).catch((error) => reportRunError(input, errorMessage(error), target.session.id))\n}\n\nexport function mergeInput(message: string | undefined, piped: string | undefined) {\n if (!message) return piped || undefined\n if (!piped) return message\n return message + \"\\n\" + piped\n}\n\nfunction formatMessage(message: string[]) {\n const value = message.map((part) => (part.includes(\" \") ? `\"${part.replace(/\"/g, '\\\\\"')}\"` : part)).join(\" \")\n return value || undefined\n}\n\nfunction localDirectory(root: string) {\n try {\n process.chdir(root)\n return process.cwd()\n } catch {\n fail(`Failed to change directory to ${root}`)\n }\n}\n\nexport function parseRunModel(value?: string) {\n const ref = parseSessionTargetModel(value)\n if (!ref) return\n return {\n model: { providerID: ref.providerID, modelID: ref.id },\n variant: ref.variant,\n }\n}\n\nasync function prepareFile(input: string, directory: string, options: ExecutionOptions): Promise<FilePart> {\n const file = path.resolve(directory, input)\n const handle = await open(file, \"r\").catch(() => fail(`File not found: ${input}`))\n try {\n const stat = await handle.stat()\n if (options.compatibility === \"v1\" && options.attached && stat.isDirectory())\n fail(`Cannot attach local directory without a shared filesystem: ${input}`)\n if (!stat.isFile() || stat.size > ATTACH_FILE_MAX_BYTES)\n fail(`Cannot attach a directory, special file, or file larger than 10 MiB: ${input}`)\n const content = Buffer.alloc(Number(stat.size))\n let offset = 0\n while (offset < content.length) {\n const read = await handle.read(content, offset, content.length - offset, offset)\n if (read.bytesRead === 0) break\n offset += read.bytesRead\n }\n const bytes = content.subarray(0, offset)\n const detected = FSUtil.mimeType(file)\n const text = bytes.toString(\"utf8\")\n const mime =\n detected.startsWith(\"image/\") || detected === \"application/pdf\"\n ? detected\n : !isBinaryContent(bytes) && Buffer.from(text, \"utf8\").equals(bytes)\n ? \"text/plain\"\n : detected\n return {\n url: `data:${mime};base64,${bytes.toString(\"base64\")}`,\n filename: path.basename(file),\n mime,\n }\n } finally {\n await handle.close()\n }\n}\n\nfunction isBinaryContent(bytes: Uint8Array) {\n if (bytes.length === 0) return false\n if (bytes.includes(0)) return true\n return bytes.reduce((count, byte) => count + Number(byte < 9 || (byte > 13 && byte < 32)), 0) / bytes.length > 0.3\n}\n\nasync function renderTool(part: SessionMessageAssistantTool, directory: string) {\n const info = toolInlineInfo(part, directory)\n if (info.mode === \"block\") {\n UI.empty()\n UI.println(UI.Style.TEXT_NORMAL + info.icon, UI.Style.TEXT_NORMAL + info.title)\n if (info.body?.trim()) UI.println(info.body)\n UI.empty()\n return\n }\n UI.println(\n UI.Style.TEXT_NORMAL + info.icon,\n UI.Style.TEXT_NORMAL + info.title,\n info.description ? UI.Style.TEXT_DIM + info.description + UI.Style.TEXT_NORMAL : \"\",\n )\n}\n\nasync function renderToolError(part: SessionMessageAssistantTool, directory: string) {\n const info = toolInlineInfo(part, directory)\n UI.println(UI.Style.TEXT_NORMAL + \"✗\", UI.Style.TEXT_NORMAL + `${info.title} failed`)\n}\n\nfunction errorMessage(error: unknown) {\n if (error instanceof Error) return error.message\n if (typeof error === \"object\" && error !== null && \"message\" in error && typeof error.message === \"string\")\n return error.message\n return String(error)\n}\n\n/** @internal Used by the V1 command boundary before a Session exists. */\nexport function reportRunError(input: Pick<RunCommandInput, \"format\">, message: string, sessionID?: string) {\n process.exitCode = 1\n if (input.format === \"json\") {\n process.stdout.write(\n JSON.stringify({\n type: \"error\",\n timestamp: Date.now(),\n sessionID: sessionID ?? \"\",\n error: { type: \"unknown\", message },\n }) + \"\\n\",\n )\n return\n }\n UI.error(message)\n}\n\nfunction fail(message: string): never {\n throw new Error(message)\n}\n", | ||
| "import type {\n EventSubscribeOutput,\n JsonValue,\n LocationRef,\n OpenCodeClient,\n SessionMessageAssistantTool,\n SessionMessageInfo,\n ToolContent,\n} from \"@opencode-ai/client/promise\"\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { EOL } from \"node:os\"\nimport { readFile } from \"node:fs/promises\"\nimport { nonEmptyToolContent, toolOutputText, type MiniToolPart } from \"@opencode-ai/tui/mini/tool\"\nimport { UI } from \"./ui\"\n\ntype Model = {\n providerID: string\n modelID: string\n}\n\ntype File = {\n url: string\n filename: string\n mime: string\n}\n\ntype Input = {\n client: OpenCodeClient\n sessionID: string\n location: LocationRef\n message: string\n files: File[]\n agent?: string\n model?: Model\n variant?: string\n thinking: boolean\n format: \"default\" | \"json\"\n auto: boolean\n /** True when the client is attached to a shared server rather than an exclusive in-process one. */\n attached: boolean\n compatibility?: \"v1\"\n renderTool: (part: SessionMessageAssistantTool) => Promise<void>\n renderToolError: (part: SessionMessageAssistantTool) => Promise<void>\n}\n\ntype StartedPart = {\n id: string\n timestamp: number\n}\n\ntype ToolState = StartedPart & {\n assistantMessageID: string\n tool: string\n input: Record<string, JsonValue>\n raw?: string\n provider?: unknown\n providerState?: SessionMessageAssistantTool[\"providerState\"]\n metadata: Record<string, JsonValue>\n content: ToolContent[]\n}\n\ntype V2Event = EventSubscribeOutput\ntype FormRequest = Extract<V2Event, { type: \"form.created\" }>[\"data\"][\"form\"]\n\n// MCP elicitations are temporarily owned by the \"global\" sentinel instead of a real\n// session. An exclusive local process may treat them as this run's blockers; an\n// attached client must not cancel input that may belong to another session.\nconst GLOBAL_FORM_SESSION_ID = \"global\"\n\nexport async function runNonInteractivePrompt(input: Input) {\n const controller = new AbortController()\n const stream = input.client.event.subscribe({ signal: controller.signal })[Symbol.asyncIterator]()\n const connected = await stream.next()\n if (connected.done) throw new Error(\"Event stream disconnected before prompt admission\")\n\n const messageID = SessionMessage.ID.create()\n const starts = new Map<string, StartedPart>()\n const tools = new Map<string, ToolState>()\n const renderedText = new Map<string, string>()\n const renderedReasoning = new Map<string, string>()\n const renderedTools = new Set<string>()\n let submitted = false\n let promoted = false\n let emittedError = false\n let permissionRejected = false\n let formCancelled = false\n let interrupted = false\n let v1InvalidOutput = false\n let prePromotionError: { message: string; [key: string]: unknown } | undefined\n let finalizing = false\n let admission: AbortController | undefined\n let pendingStep: { timestamp: number; part: Record<string, unknown>; label: string } | undefined\n\n const emit = (type: string, timestamp: number, data: Record<string, unknown>) => {\n if (input.format !== \"json\") return false\n process.stdout.write(JSON.stringify({ type, timestamp, sessionID: input.sessionID, ...data }) + EOL)\n return true\n }\n\n const writeText = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n if (emit(\"text\", timestamp, { part })) return\n const text = part.text.trim()\n if (!text) return\n if (!process.stdout.isTTY) {\n process.stdout.write(text + EOL)\n return\n }\n UI.empty()\n UI.println(text)\n UI.empty()\n }\n\n const writeReasoning = (part: { text: string; [key: string]: unknown }, timestamp: number) => {\n if (emit(\"reasoning\", timestamp, { part })) return\n const text = part.text.trim()\n if (!text) return\n const line = `Thinking: ${text}`\n if (!process.stdout.isTTY) return void process.stdout.write(line + EOL)\n UI.empty()\n UI.println(`${UI.Style.TEXT_DIM}\\u001b[3m${line}\\u001b[0m${UI.Style.TEXT_NORMAL}`)\n UI.empty()\n }\n\n const flushStep = () => {\n if (!pendingStep) return\n const value = pendingStep\n pendingStep = undefined\n if (!emit(\"step_start\", value.timestamp, { part: value.part }) && input.format !== \"json\") {\n UI.empty()\n UI.println(value.label)\n UI.empty()\n }\n }\n\n const replyPermission = async (request: { id: string; action: string; resources: ReadonlyArray<string> }) => {\n if (!input.auto) {\n permissionRejected = true\n UI.println(\n UI.Style.TEXT_WARNING_BOLD + \"!\",\n UI.Style.TEXT_NORMAL +\n `permission requested: ${request.action} (${request.resources.join(\", \")}); auto-rejecting`,\n )\n }\n await input.client.permission\n .reply({\n sessionID: input.sessionID,\n requestID: request.id,\n reply: input.auto ? \"once\" : \"reject\",\n })\n .catch(() => {})\n if (!input.auto) {\n await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n }\n\n const cancelForm = async (request: Pick<FormRequest, \"id\" | \"sessionID\">) => {\n try {\n await input.client.form.cancel(\n { sessionID: request.sessionID, formID: request.id },\n ...formRequestOptions(request.sessionID === GLOBAL_FORM_SESSION_ID ? input.location : undefined),\n )\n } catch (error) {\n if (!formAlreadySettled(error)) throw error\n }\n formCancelled = true\n }\n\n const consume = async () => {\n while (!controller.signal.aborted) {\n const next = await stream.next().catch((error) => {\n if (!emittedError) throw error\n return { done: true as const, value: undefined }\n })\n if (next.done) {\n if (emittedError) return\n throw new Error(\"Event stream disconnected during prompt execution\")\n }\n const event = next.value\n\n if (event.type === \"permission.asked\" && submitted && event.data.sessionID === input.sessionID) {\n await replyPermission(event.data)\n continue\n }\n if (\n event.type === \"form.created\" &&\n submitted &&\n (event.data.form.sessionID === input.sessionID ||\n (!input.attached &&\n event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&\n sameLocation(event.location, input.location)))\n ) {\n await cancelForm(event.data.form)\n continue\n }\n if (!(\"sessionID\" in event.data) || event.data.sessionID !== input.sessionID) continue\n const time = toMillis(\"created\" in event ? event.created : undefined)\n\n if (event.type === \"session.inbox.delivered\") {\n if (event.data.inboxID === messageID) {\n promoted = true\n prePromotionError = undefined\n continue\n }\n }\n if (\n event.type === \"session.execution.interrupted\" &&\n event.data.reason === \"user\" &&\n (interrupted || permissionRejected || formCancelled)\n ) {\n return\n }\n if (!promoted && event.type === \"session.execution.failed\") {\n prePromotionError = event.data.error\n if (finalizing) return\n continue\n }\n if (\n !promoted &&\n finalizing &&\n (event.type === \"session.execution.succeeded\" || event.type === \"session.execution.interrupted\")\n )\n return\n if (!promoted) continue\n if (finalizing && !event.type.startsWith(\"session.execution.\")) continue\n\n if (event.type === \"session.step.started\") {\n const part = {\n id: partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"step-start\",\n snapshot: event.data.snapshot,\n }\n if (input.compatibility === \"v1\") {\n pendingStep = {\n timestamp: time,\n part,\n label: `> ${event.data.agent} · ${event.data.model.id}`,\n }\n continue\n }\n if (!emit(\"step_start\", time, { part }) && input.format !== \"json\") {\n UI.empty()\n UI.println(`> ${event.data.agent} · ${event.data.model.id}`)\n UI.empty()\n }\n continue\n }\n\n if (event.type === \"session.text.started\") {\n flushStep()\n starts.set(`text\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n id: partID(event.id),\n timestamp: time,\n })\n continue\n }\n if (event.type === \"session.text.ended\") {\n const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n const started = starts.get(`text\\u0000${key}`)\n starts.delete(`text\\u0000${key}`)\n const part = {\n id: started?.id ?? partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"text\",\n text: event.data.text,\n time: { start: started?.timestamp ?? time, end: time },\n }\n renderedText.set(key, event.data.text)\n writeText(part, time)\n continue\n }\n\n if (event.type === \"session.reasoning.started\") {\n flushStep()\n starts.set(`reasoning\\u0000${contentKey(event.data.assistantMessageID, event.data.ordinal)}`, {\n id: partID(event.id),\n timestamp: time,\n })\n continue\n }\n if (event.type === \"session.reasoning.ended\" && input.thinking) {\n const key = contentKey(event.data.assistantMessageID, event.data.ordinal)\n const started = starts.get(`reasoning\\u0000${key}`)\n starts.delete(`reasoning\\u0000${key}`)\n const part = {\n id: started?.id ?? partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"reasoning\",\n text: event.data.text,\n metadata: event.data.state,\n time: { start: started?.timestamp ?? time, end: time },\n }\n renderedReasoning.set(key, event.data.text)\n writeReasoning(part, time)\n continue\n }\n\n if (event.type === \"session.tool.input.started\") {\n flushStep()\n tools.set(toolKey(event.data.assistantMessageID, event.data.id), {\n id: partID(event.id),\n timestamp: time,\n assistantMessageID: event.data.assistantMessageID,\n tool: event.data.name,\n input: {},\n metadata: {},\n content: [],\n })\n continue\n }\n if (event.type === \"session.tool.input.ended\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) current.raw = event.data.text\n continue\n }\n if (event.type === \"session.tool.input.delta\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) current.raw = (current.raw ?? \"\") + event.data.delta\n continue\n }\n if (event.type === \"session.tool.called\") {\n flushStep()\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key)\n tools.set(key, {\n id: current?.id ?? partID(event.id),\n timestamp: current?.timestamp ?? time,\n assistantMessageID: event.data.assistantMessageID,\n tool: current?.tool ?? \"tool\",\n input: event.data.input,\n raw: current?.raw,\n provider: { executed: event.data.executed, state: event.data.state },\n providerState: event.data.state,\n metadata: {},\n content: [],\n })\n continue\n }\n if (event.type === \"session.tool.progress\") {\n const current = tools.get(toolKey(event.data.assistantMessageID, event.data.id))\n if (current) {\n current.metadata = event.data.metadata\n }\n continue\n }\n if (event.type === \"session.tool.success\") {\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key) ?? fallbackTool(event)\n const tool: SessionMessageAssistantTool = {\n type: \"tool\",\n id: event.data.id,\n name: current.tool,\n executed: event.data.executed,\n providerState: current.providerState,\n providerResultState: event.data.resultState,\n state: {\n status: \"completed\",\n input: current.input,\n metadata: event.data.metadata,\n content: event.data.content,\n },\n time: { created: current.timestamp, ran: current.timestamp, completed: time },\n }\n const part: MiniToolPart = {\n partID: current.id,\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"tool\",\n id: event.data.id,\n tool: current.tool,\n state: {\n status: \"completed\",\n input: current.input,\n output: toolOutputText(current.tool, event.data.content),\n title: current.tool,\n metadata: {\n metadata: event.data.metadata,\n content: event.data.content,\n providerCall: current.provider,\n providerResult: { executed: event.data.executed, state: event.data.resultState },\n rawInput: current.raw,\n },\n time: { start: current.timestamp, end: time },\n },\n }\n tools.delete(key)\n renderedTools.add(key)\n if (!emit(\"tool_use\", time, { part })) await input.renderTool(tool)\n continue\n }\n if (event.type === \"session.tool.failed\") {\n const key = toolKey(event.data.assistantMessageID, event.data.id)\n const current = tools.get(key) ?? fallbackTool(event)\n const error = event.data.error.message\n const metadata = event.data.metadata ?? current.metadata\n const content = event.data.content ?? nonEmptyToolContent(current.content)\n const tool: SessionMessageAssistantTool = {\n type: \"tool\",\n id: event.data.id,\n name: current.tool,\n executed: event.data.executed,\n providerState: current.providerState,\n providerResultState: event.data.resultState,\n state: {\n status: \"error\",\n input: current.input,\n metadata,\n content,\n error: event.data.error,\n },\n time: { created: current.timestamp, ran: current.timestamp, completed: time },\n }\n const part: MiniToolPart = {\n partID: current.id,\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"tool\",\n id: event.data.id,\n tool: current.tool,\n state: {\n status: \"error\",\n input: current.input,\n error,\n metadata: {\n providerCall: current.provider,\n providerResult: { executed: event.data.executed, state: event.data.resultState },\n rawInput: current.raw,\n },\n time: { start: current.timestamp, end: time },\n },\n }\n tools.delete(key)\n renderedTools.add(key)\n if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) continue\n if (!emit(\"tool_use\", time, { part })) {\n if (content && toolOutputText(current.tool, content).trim())\n await input.renderTool({\n ...tool,\n state: {\n status: \"completed\",\n input: current.input,\n metadata,\n content,\n },\n })\n await input.renderToolError(tool)\n UI.error(error)\n }\n continue\n }\n\n if (event.type === \"session.step.ended\") {\n flushStep()\n const part = {\n id: partID(event.id),\n sessionID: input.sessionID,\n messageID: event.data.assistantMessageID,\n type: \"step-finish\",\n reason: event.data.finish,\n snapshot: event.data.snapshot,\n cost: event.data.cost,\n tokens: event.data.tokens,\n }\n emit(\"step_finish\", time, { part })\n continue\n }\n if (event.type === \"session.step.failed\") {\n if (input.compatibility === \"v1\" && event.data.error.message === \"The provider response ended unexpectedly.\") {\n pendingStep = undefined\n v1InvalidOutput = true\n continue\n }\n if (interrupted || permissionRejected || formCancelled) continue\n flushStep()\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n continue\n }\n if (event.type === \"session.execution.failed\") {\n if (input.compatibility === \"v1\" && (v1InvalidOutput || permissionRejected || formCancelled)) return\n flushStep()\n if (!emittedError && !formCancelled) {\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", time, { error: event.data.error })) UI.error(event.data.error.message)\n }\n return\n }\n if (event.type === \"session.execution.interrupted\") {\n if (input.compatibility === \"v1\" && (permissionRejected || formCancelled)) return\n if (event.data.reason === \"user\" && interrupted) process.exitCode = 130\n if (event.data.reason !== \"user\" && !emittedError) {\n emittedError = true\n process.exitCode = 1\n const error = { type: \"aborted\" as const, message: `Session interrupted: ${event.data.reason}` }\n if (!emit(\"error\", time, { error })) UI.error(error.message)\n }\n return\n }\n if (event.type === \"session.execution.succeeded\") return\n }\n }\n\n const projectedMessages = async () => {\n const messages: SessionMessageInfo[] = []\n let cursor: string | undefined\n while (true) {\n const page = await input.client.message.list(\n cursor\n ? { sessionID: input.sessionID, limit: 200, cursor }\n : { sessionID: input.sessionID, limit: 200, order: \"desc\" },\n )\n for (const message of page.data) {\n if (message.id === messageID) return { found: true, messages: messages.toReversed() }\n messages.push(message)\n }\n cursor = page.cursor.next ?? undefined\n if (!cursor) return { found: false, messages: [] }\n }\n }\n\n const reconcile = async () => {\n const projected = await projectedMessages()\n for (const message of projected.messages) {\n if (message.type !== \"assistant\") continue\n const timestamp = message.time.completed ?? message.time.created\n let textOrdinal = 0\n let reasoningOrdinal = 0\n for (const item of message.content) {\n if (item.type === \"text\") {\n const ordinal = textOrdinal++\n const key = contentKey(message.id, ordinal)\n const rendered = renderedText.get(key) ?? \"\"\n if (rendered === item.text || !item.text.startsWith(rendered)) continue\n const text = item.text.slice(rendered.length)\n writeText(\n {\n id: projectedPartID(message.id, `text-${ordinal}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"text\",\n text,\n time: { start: message.time.created, end: timestamp },\n },\n timestamp,\n )\n renderedText.set(key, item.text)\n continue\n }\n if (item.type === \"reasoning\") {\n const ordinal = reasoningOrdinal++\n if (!input.thinking) continue\n const key = contentKey(message.id, ordinal)\n const rendered = renderedReasoning.get(key) ?? \"\"\n if (rendered === item.text || !item.text.startsWith(rendered)) continue\n const text = item.text.slice(rendered.length)\n const part = {\n id: projectedPartID(message.id, `reasoning-${ordinal}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"reasoning\",\n text,\n metadata: item.state,\n time: { start: message.time.created, end: timestamp },\n }\n renderedReasoning.set(key, item.text)\n writeReasoning(part, timestamp)\n continue\n }\n\n const key = toolKey(message.id, item.id)\n if (renderedTools.has(key) || item.state.status === \"streaming\" || item.state.status === \"running\") continue\n const part: MiniToolPart = {\n partID: projectedPartID(message.id, `tool-${item.id}`),\n sessionID: input.sessionID,\n messageID: message.id,\n type: \"tool\",\n id: item.id,\n tool: item.name,\n state:\n item.state.status === \"completed\"\n ? {\n status: \"completed\",\n input: item.state.input,\n output: toolOutputText(item.name, item.state.content),\n title: item.name,\n metadata: { metadata: item.state.metadata, content: item.state.content },\n time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n }\n : {\n status: \"error\",\n input: item.state.input,\n error: item.state.error.message,\n metadata: { metadata: item.state.metadata, content: item.state.content },\n time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },\n },\n }\n renderedTools.add(key)\n if (emit(\"tool_use\", timestamp, { part })) continue\n if (item.state.status === \"completed\") {\n await input.renderTool(item)\n continue\n }\n if (item.state.content && toolOutputText(item.name, item.state.content).trim()) {\n await input.renderTool({\n ...item,\n state: {\n status: \"completed\",\n input: item.state.input,\n metadata: item.state.metadata,\n content: item.state.content,\n },\n })\n }\n await input.renderToolError(item)\n UI.error(item.state.error.message)\n }\n\n if (message.error && !emittedError) {\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", timestamp, { error: message.error })) UI.error(message.error.message)\n }\n }\n return {\n found: projected.found,\n responded: projected.messages.some((message) => message.type === \"assistant\"),\n }\n }\n\n const interrupt = () => {\n if (interrupted) process.exit(130)\n interrupted = true\n process.exitCode = 130\n admission?.abort()\n void input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n process.on(\"SIGINT\", interrupt)\n\n let completed: Promise<void> | undefined\n try {\n if (input.agent) {\n await input.client.session.switchAgent({ sessionID: input.sessionID, agent: input.agent })\n }\n const selected = input.model\n ? { providerID: input.model.providerID, id: input.model.modelID, variant: input.variant }\n : input.variant\n ? await input.client.session\n .get({ sessionID: input.sessionID })\n .then((result) => result.model)\n .then(async (model) => {\n if (model) return { ...model, variant: input.variant }\n const result = await input.client.model.default()\n const fallback = result.data\n return fallback ? { providerID: fallback.providerID, id: fallback.id, variant: input.variant } : undefined\n })\n : undefined\n if (input.variant && !selected) throw new Error(\"Cannot select a variant before selecting a model\")\n if (selected) {\n await input.client.session.switchModel({ sessionID: input.sessionID, model: selected })\n }\n\n const prepared = await Promise.all(input.files.map(prepareFile))\n if (interrupted) return\n submitted = true\n completed = consume()\n admission = new AbortController()\n const response = await input.client.session\n .prompt(\n {\n sessionID: input.sessionID,\n id: messageID,\n text: [input.message, ...prepared.flatMap((file) => (file.text ? [file.text] : []))].join(\"\\n\\n\"),\n files: prepared.flatMap((file) => (file.attachment ? [file.attachment] : [])),\n delivery: \"steer\",\n },\n { signal: admission.signal },\n )\n .catch(async (error) => {\n if (interrupted) {\n await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n }\n controller.abort()\n await completed?.catch(() => {})\n if (interrupted || emittedError) return undefined\n throw error\n })\n admission = undefined\n if (!response) return\n if (interrupted) await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})\n\n const [permissions, forms, globals] = await Promise.all([\n input.client.permission.list({ sessionID: input.sessionID }).catch(() => undefined),\n input.client.form.list({ sessionID: input.sessionID }).catch(() => undefined),\n input.attached\n ? Promise.resolve(undefined)\n : input.client.form.request\n .list({\n location: { directory: input.location.directory, workspace: input.location.workspaceID },\n })\n .catch(() => undefined),\n ])\n await Promise.all([\n ...(permissions ?? []).map(replyPermission),\n ...(forms ?? []).map(cancelForm),\n ...(globals && sameLocation(globals.location, input.location)\n ? globals.data.filter((form) => form.sessionID === GLOBAL_FORM_SESSION_ID).map(cancelForm)\n : []),\n ])\n if (input.compatibility === \"v1\") {\n await completed\n return\n }\n\n const waiting = input.client.session.wait({ sessionID: input.sessionID })\n await Promise.race([waiting, completed.then(() => waiting)])\n finalizing = true\n const projected = await reconcile()\n if (\n !projected.responded &&\n !interrupted &&\n !permissionRejected &&\n !formCancelled &&\n !emittedError &&\n !prePromotionError\n ) {\n await completed\n }\n if (!projected.found && !interrupted && !permissionRejected && !formCancelled && !emittedError) {\n const error = prePromotionError ?? { type: \"unknown\", message: \"Prompt was not promoted\" }\n emittedError = true\n process.exitCode = 1\n if (!emit(\"error\", Date.now(), { error })) UI.error(error.message)\n }\n } finally {\n process.off(\"SIGINT\", interrupt)\n controller.abort()\n if (input.compatibility === \"v1\") await stream.return?.(undefined).catch(() => {})\n else void stream.return?.(undefined).catch(() => {})\n }\n}\n\nfunction sameLocation(left: LocationRef | undefined, right: LocationRef) {\n return !!left && left.directory === right.directory && left.workspaceID === right.workspaceID\n}\n\nfunction formRequestOptions(location: LocationRef | undefined): [] | [{ headers: Record<string, string> }] {\n if (!location) return []\n return [\n {\n headers: {\n \"x-opencode-directory\": encodeURIComponent(location.directory),\n ...(location.workspaceID ? { \"x-opencode-workspace\": location.workspaceID } : {}),\n },\n },\n ]\n}\n\nfunction formAlreadySettled(error: unknown) {\n return !!error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"FormAlreadySettledError\"\n}\n\nfunction partID(eventID: string) {\n return `prt_${eventID.replace(/^evt_/, \"\")}`\n}\n\nfunction toolKey(messageID: string, id: string) {\n return `${messageID}\\u0000${id}`\n}\n\nfunction contentKey(messageID: string, ordinal: number) {\n return `${messageID}\\u0000${ordinal}`\n}\n\nfunction projectedPartID(messageID: string, part: string) {\n return `prt_${messageID.replace(/^msg_/, \"\")}_${part}`\n}\n\nfunction fallbackTool(event: {\n id: string\n created: number\n data: { assistantMessageID: string; id: string }\n}): ToolState {\n return {\n id: partID(event.id),\n timestamp: toMillis(event.created),\n assistantMessageID: event.data.assistantMessageID,\n tool: \"tool\",\n input: {},\n metadata: {},\n content: [],\n }\n}\n\nfunction toMillis(value: unknown) {\n if (typeof value === \"number\") return value\n if (typeof value === \"string\") return new Date(value).getTime()\n return Date.now()\n}\n\nasync function prepareFile(file: File) {\n if (file.mime !== \"text/plain\") {\n const uri = file.url.startsWith(\"data:\")\n ? file.url\n : `data:${file.mime};base64,${(await readFile(new URL(file.url))).toString(\"base64\")}`\n return { attachment: { uri, name: file.filename } }\n }\n const content = file.url.startsWith(\"data:\")\n ? Buffer.from(file.url.slice(file.url.indexOf(\",\") + 1), \"base64\").toString(\"utf8\")\n : await readFile(new URL(file.url), \"utf8\")\n return { text: `<file name=\"${file.filename}\">\\n${content}\\n</file>` }\n}\n", | ||
| "import { EOL } from \"node:os\"\n\nexport const Style = {\n TEXT_DIM: \"\\x1b[90m\",\n TEXT_NORMAL: \"\\x1b[0m\",\n TEXT_WARNING_BOLD: \"\\x1b[93m\\x1b[1m\",\n TEXT_DANGER_BOLD: \"\\x1b[91m\\x1b[1m\",\n}\n\nexport function println(...message: string[]) {\n process.stderr.write(message.join(\" \") + EOL)\n}\n\nlet blank = false\n\nexport function empty() {\n if (blank) return\n println(Style.TEXT_NORMAL)\n blank = true\n}\n\nexport function error(message: string) {\n if (message.startsWith(\"Error: \")) message = message.slice(\"Error: \".length)\n println(Style.TEXT_DANGER_BOLD + \"Error: \" + Style.TEXT_NORMAL + message)\n}\n\nexport * as UI from \"./ui\"\n" | ||
| ], | ||
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| ||
| "debugId": "27CBE90C857B9DBD64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "E190E87FA5C1CEAD64756E2164756E21", | ||
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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": "3C6D022C98E820A764756E2164756E21", | ||
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| } |
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| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/providers/openrouter.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Schema } from \"effect\"\nimport { Route, type RouteDefaultsInput } from \"../route/client.js\"\nimport { Endpoint } from \"../route/endpoint.js\"\nimport { Framing } from \"../route/framing.js\"\nimport { Protocol } from \"../route/protocol.js\"\nimport { AuthOptions, type ProviderAuthOption } from \"../route/auth-options.js\"\nimport { ProviderID, type CacheHint, type ModelID } from \"../schema/index.js\"\nimport type { ProviderPackage } from \"../provider-package.js\"\nimport * as OpenAICompatibleProfiles from \"./openai-compatible-profile.js\"\nimport * as OpenAIChat from \"../protocols/openai-chat.js\"\nimport { newBreakpoints, ttlBucket } from \"../protocols/utils/cache.js\"\nimport { isRecord } from \"../protocols/shared.js\"\n\nexport const profile = OpenAICompatibleProfiles.profiles.openrouter\nexport const id = ProviderID.make(profile.provider)\nconst ADAPTER = \"openrouter\"\n\ntype OpenRouterString<Known extends string> = Known | (string & {})\n\nexport interface OpenRouterProviderRouting {\n readonly [key: string]: unknown\n readonly order?: ReadonlyArray<string>\n readonly allow_fallbacks?: boolean\n readonly require_parameters?: boolean\n readonly data_collection?: OpenRouterString<\"allow\" | \"deny\">\n readonly only?: ReadonlyArray<string>\n readonly ignore?: ReadonlyArray<string>\n readonly quantizations?: ReadonlyArray<string>\n readonly sort?: OpenRouterString<\"price\" | \"throughput\" | \"latency\">\n readonly max_price?: Readonly<{\n prompt?: number | string\n completion?: number | string\n image?: number | string\n audio?: number | string\n request?: number | string\n }>\n readonly zdr?: boolean\n}\n\nexport type OpenRouterPlugin =\n | Readonly<{\n id: \"web\"\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n | Readonly<{ id: \"file-parser\"; max_files?: number; pdf?: { engine?: string } }>\n | Readonly<{ id: \"moderation\" }>\n | Readonly<{ id: \"response-healing\" }>\n | Readonly<{ id: \"auto-router\"; allowed_models?: ReadonlyArray<string> }>\n | Readonly<{ id: string & {}; [key: string]: unknown }>\n\nexport interface OpenRouterOptions {\n readonly [key: string]: unknown\n readonly debug?: Readonly<{ echo_upstream_body?: boolean }>\n readonly models?: ReadonlyArray<string>\n readonly plugins?: ReadonlyArray<OpenRouterPlugin>\n readonly provider?: OpenRouterProviderRouting\n readonly reasoning?: Readonly<{\n enabled?: boolean\n exclude?: boolean\n effort?: OpenRouterString<\"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\">\n max_tokens?: number\n }>\n readonly usage?: boolean | Readonly<{ include: boolean }>\n readonly user?: string\n readonly web_search_options?: Readonly<{\n max_results?: number\n search_prompt?: string\n engine?: OpenRouterString<\"native\" | \"exa\">\n }>\n}\n\nexport type OpenRouterProviderOptionsInput = OpenRouterOptions\n\nexport type LanguageModelOptions = Omit<RouteDefaultsInput, \"providerOptions\"> &\n ProviderAuthOption<\"optional\"> & {\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n }\n\nexport interface Settings extends ProviderPackage.Settings {\n readonly apiKey?: string\n readonly baseURL?: string\n readonly providerOptions?: OpenRouterProviderOptionsInput\n}\n\nconst OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [\n Schema.Record(Schema.String, Schema.Any),\n])\nexport type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>\n\nexport const protocol = Protocol.make({\n id: \"openrouter-chat\",\n body: {\n schema: OpenRouterBody,\n from: (request) =>\n OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(\n Effect.map((body) => {\n const sourceAssistants = request.messages.filter((message) => message.role === \"assistant\")\n let assistantIndex = 0\n const messages = body.messages.map((message) => {\n if (message.role !== \"assistant\") return message\n const source = sourceAssistants[assistantIndex++]\n const reasoning = source?.content\n .filter((part) => part.type === \"reasoning\")\n .map((part) => part.text)\n .join(\"\")\n const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined\n return {\n ...message,\n reasoning_content: undefined,\n reasoning_text: undefined,\n reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,\n reasoning_details: reasoningDetails,\n }\n })\n return {\n ...body,\n messages,\n ...bodyOptions(request.providerOptions),\n ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),\n } as OpenRouterBody\n }),\n ),\n },\n stream: OpenAIChat.protocol.stream,\n})\n\nconst cacheControl = () => {\n const breakpoints = newBreakpoints(4)\n return (cache: CacheHint | undefined) => {\n if (cache === undefined || breakpoints.remaining === 0) return undefined\n breakpoints.remaining -= 1\n return {\n type: \"ephemeral\" as const,\n ...(ttlBucket(cache.ttlSeconds) === \"1h\" ? { ttl: \"1h\" } : {}),\n }\n }\n}\n\nconst bodyOptions = (input: unknown) => {\n const openrouter = isRecord(input) ? input : {}\n const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =\n openrouter\n return {\n ...options,\n ...(usage === undefined || usage === true\n ? { usage: { include: true } }\n : usage === false\n ? { usage: { include: false } }\n : isRecord(usage)\n ? { usage }\n : {}),\n ...(Array.isArray(models) ? { models } : {}),\n ...(isRecord(provider) ? { provider } : {}),\n ...(Array.isArray(plugins) ? { plugins } : {}),\n ...(isRecord(web_search_options) ? { web_search_options } : {}),\n ...(isRecord(debug) ? { debug } : {}),\n ...(typeof user === \"string\" ? { user } : {}),\n ...(isRecord(reasoning) ? { reasoning } : {}),\n }\n}\n\nexport const route = Route.make({\n id: ADAPTER,\n provider: profile.provider,\n protocol,\n endpoint: Endpoint.path(\"/chat/completions\", { baseURL: profile.baseURL }),\n framing: Framing.sse,\n})\n\nexport const routes = [route]\n\nconst configuredRoute = (input: LanguageModelOptions) => {\n const { apiKey: _, auth: _auth, baseURL, ...rest } = input\n return route.with({\n ...rest,\n endpoint: { baseURL: baseURL ?? profile.baseURL },\n auth: AuthOptions.bearer(input, \"OPENROUTER_API_KEY\"),\n })\n}\n\nexport const configure = (input: LanguageModelOptions = {}) => {\n const route = configuredRoute(input)\n return {\n id,\n model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),\n configure,\n }\n}\n\nexport const provider = configure()\nexport const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>[\"model\"] = (\n modelID,\n settings,\n) =>\n configure({\n apiKey: settings.apiKey,\n baseURL: settings.baseURL,\n headers: settings.headers,\n http: settings.body === undefined ? undefined : { body: { ...settings.body } },\n providerOptions: settings.providerOptions,\n }).model(modelID)\n" | ||
| ], | ||
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| { | ||
| "version": 3, | ||
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| "// Serial prompt queue for direct interactive mode.\n//\n// Prompts arrive from the footer (user types and hits enter) and local\n// operations drain one at a time. Ordinary prompts submitted during an active\n// ordinary turn are admitted immediately to the server's durable queue.\n//\n// The queue also handles local session commands, empty-prompt rejection,\n// and tracks per-turn wall-clock duration for the footer status line.\n//\n// Resolves when the footer closes and all in-flight work finishes.\nimport { SessionMessage } from \"@opencode-ai/schema/session-message\"\nimport { Locale } from \"../util/locale\"\nimport { isCompactCommand, isExitCommand, isNewCommand } from \"./prompt.shared\"\nimport type { FooterApi, FooterEvent, RunDelivery, RunPrompt } from \"./types\"\n\ntype Trace = {\n write(type: string, data?: unknown): void\n}\n\nexport type QueueInput = {\n footer: FooterApi\n initialInput?: string\n trace?: Trace\n onSend?: (prompt: RunPrompt, delivery: RunDelivery) => void\n onAdmissionError?: (prompt: RunPrompt, error: unknown) => void | Promise<void>\n onNewSession?: () => void | Promise<void>\n onCompact?: () => void | Promise<void>\n admit: (prompt: RunPrompt, delivery: RunDelivery, signal: AbortSignal) => Promise<void>\n settle: () => Promise<void>\n run: (prompt: RunPrompt, signal: AbortSignal, admitted: () => void) => Promise<void>\n}\n\ntype State = {\n queue: RunPrompt[]\n active?: RunPrompt\n admission?: Promise<void>\n ctrl?: AbortController\n closed: boolean\n}\n\n// Runs the prompt queue until the footer closes.\n//\n// Subscribes to footer prompt events and drains operations through input.run().\n// Ordinary prompts submitted during an ordinary active turn are admitted as\n// durable queued work instead of remaining editable process-local state.\nexport async function runPromptQueue(input: QueueInput): Promise<void> {\n const stop = Promise.withResolvers<{ type: \"closed\" }>()\n const done = Promise.withResolvers<void>()\n const state: State = {\n queue: [],\n closed: input.footer.isClosed,\n }\n let draining: Promise<void> | undefined\n let admissions = Promise.resolve()\n let admissionVersion = 0\n const admissionController = new AbortController()\n\n const emit = (next: FooterEvent, row: Record<string, unknown>) => {\n input.trace?.write(\"ui.patch\", row)\n input.footer.event(next)\n }\n\n const finish = () => {\n if (!state.closed || draining) {\n return\n }\n\n done.resolve()\n }\n\n const close = () => {\n if (state.closed) {\n return\n }\n\n state.closed = true\n state.queue.length = 0\n // Ordinary turn signals map to session.interrupt; exiting should only detach the TUI.\n if (state.active?.mode === \"shell\") state.ctrl?.abort()\n admissionController.abort()\n stop.resolve({ type: \"closed\" })\n finish()\n }\n\n const drain = () => {\n if (draining || state.closed || state.queue.length === 0) {\n return\n }\n\n draining = (async () => {\n try {\n while (!state.closed && state.queue.length > 0) {\n const prompt = state.queue.shift()!\n\n if (prompt.mode !== \"shell\" && isNewCommand(prompt.text)) {\n if (!input.onNewSession) {\n emit(\n {\n type: \"stream.patch\",\n patch: {\n status: \"new sessions unavailable\",\n },\n },\n {\n status: \"new sessions unavailable\",\n },\n )\n continue\n }\n\n emit(\n {\n type: \"stream.patch\",\n patch: {\n phase: \"running\",\n status: \"starting new session\",\n },\n },\n {\n phase: \"running\",\n status: \"starting new session\",\n },\n )\n await input.onNewSession()\n continue\n }\n\n if (prompt.mode !== \"shell\" && isCompactCommand(prompt.text)) {\n emit(\n {\n type: \"stream.patch\",\n patch: {\n phase: \"running\",\n status: \"compacting session\",\n },\n },\n {\n phase: \"running\",\n status: \"compacting session\",\n },\n )\n await input.onCompact?.()\n continue\n }\n\n const sent =\n prompt.mode === \"shell\"\n ? prompt\n : {\n ...prompt,\n messageID: prompt.messageID ?? SessionMessage.ID.create(),\n }\n state.active = sent\n\n emit(\n { type: \"turn.send\" },\n {\n phase: \"running\",\n status: \"sending prompt\",\n },\n )\n const start = Date.now()\n const ctrl = new AbortController()\n const admission = Promise.withResolvers<void>()\n const version = admissionVersion\n state.ctrl = ctrl\n state.admission = admission.promise\n\n try {\n await input.footer.idle()\n if (state.closed) {\n break\n }\n\n if (sent.mode !== \"shell\") {\n const commit = {\n kind: \"user\",\n text: sent.text,\n phase: \"start\",\n source: \"system\",\n messageID: sent.messageID,\n } as const\n input.trace?.write(\"ui.commit\", commit)\n input.footer.append(commit)\n }\n input.onSend?.(sent, sent.delivery ?? \"steer\")\n\n if (state.closed) {\n break\n }\n\n const task = input.run(sent, ctrl.signal, admission.resolve).then(\n () => ({ type: \"done\" as const }),\n (error) => ({ type: \"error\" as const, error }),\n )\n\n const next = await Promise.race([task, stop.promise])\n if (next.type === \"closed\") {\n break\n }\n\n if (next.type === \"error\") {\n throw next.error\n }\n if (sent.mode !== \"shell\" && admissionVersion !== version) {\n do {\n const current = admissionVersion\n await admissions\n if (state.closed) break\n await input.settle()\n if (current === admissionVersion) break\n } while (!state.closed)\n }\n } finally {\n admission.resolve()\n if (state.ctrl === ctrl) {\n state.ctrl = undefined\n }\n if (state.admission === admission.promise) state.admission = undefined\n\n if (sent.mode !== \"shell\") {\n const duration = Locale.duration(Math.max(0, Date.now() - start))\n emit(\n {\n type: \"turn.duration\",\n duration,\n },\n {\n duration,\n },\n )\n }\n state.active = undefined\n }\n }\n } catch (error) {\n done.reject(error)\n return\n } finally {\n draining = undefined\n emit(\n { type: \"turn.idle\" },\n {\n phase: \"idle\",\n status: \"\",\n },\n )\n }\n\n finish()\n })()\n }\n\n const submit = (prompt: RunPrompt) => {\n if (!prompt.text.trim() || state.closed) {\n return\n }\n\n if (prompt.mode !== \"shell\" && isExitCommand(prompt.text)) {\n input.footer.close()\n return\n }\n\n const active = state.active\n if (\n active &&\n active.mode !== \"shell\" &&\n prompt.mode !== \"shell\" &&\n prompt.command?.source !== \"skill\" &&\n !isNewCommand(prompt.text) &&\n !isCompactCommand(prompt.text) &&\n !state.queue.some((item) => item.mode !== \"shell\" && (isNewCommand(item.text) || isCompactCommand(item.text)))\n ) {\n const sent = { ...prompt, messageID: SessionMessage.ID.create() }\n const admission = state.admission\n admissionVersion += 1\n const delivery = prompt.delivery ?? \"queue\"\n input.onSend?.(sent, delivery)\n admissions = admissions\n .then(() => admission)\n .then(() => input.admit(sent, delivery, admissionController.signal))\n .catch((error) => (state.closed ? undefined : input.onAdmissionError?.(sent, error)))\n return\n }\n\n state.queue.push(prompt)\n if (prompt.mode !== \"shell\" && (isNewCommand(prompt.text) || isCompactCommand(prompt.text))) {\n drain()\n return\n }\n\n emit(\n {\n type: \"first\",\n first: false,\n },\n {\n first: false,\n },\n )\n drain()\n }\n\n const offPrompt = input.footer.onPrompt((prompt) => {\n submit(prompt)\n })\n const offClose = input.footer.onClose(() => {\n close()\n })\n try {\n if (state.closed) {\n return\n }\n\n submit({\n text: input.initialInput ?? \"\",\n parts: [],\n })\n finish()\n await done.promise\n } finally {\n offPrompt()\n offClose()\n close()\n await draining?.catch(() => {})\n await admissions\n }\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["src/services/service-config.ts"], | ||
| "sourcesContent": [ | ||
| "import { Global } from \"@opencode-ai/util/global\"\nimport { OPENCODE_CHANNEL, OPENCODE_VERSION } from \"../version\"\nimport { Hash } from \"@opencode-ai/util/hash\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Effect, FileSystem, Option, Schema } from \"effect\"\nimport { randomBytes } from \"crypto\"\nimport path from \"path\"\nimport { selfCommand } from \"../util/process\"\n\n// The CLI's service configuration file, plus the Service.EnsureOptions binding that\n// points the client package's service operations at this CLI: which\n// registration file (by channel), which version, and how to spawn opencode.\n\nexport const Info = Schema.Struct({\n hostname: Schema.optional(Schema.String),\n port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),\n password: Schema.optional(Schema.String),\n env: Schema.optional(Schema.Record(Schema.String, Schema.String)),\n})\nexport type Info = typeof Info.Type\n\nconst keys = [\"hostname\", \"port\", \"password\", \"env\"] as const\ntype Key = (typeof keys)[number]\n\nconst decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))\nconst decodeRegistration = Schema.decodeUnknownEffect(Schema.fromJsonString(Service.Info))\n\nexport function filename(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return \"service.json\"\n return `service-${channel.replace(/[^a-zA-Z0-9._-]/g, \"-\")}.json`\n}\n\nexport function defaultPort(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"dev\" || channel === \"beta\" || channel === \"next\") return 0xc0de\n if (channel === \"local\") return 0xc0df\n return 10_000 + (Number.parseInt(Hash.fast(channel).slice(0, 8), 16) % 50_000)\n}\n\nexport function legacyFilename(channel = OPENCODE_CHANNEL) {\n if (channel === \"latest\" || channel === \"local\") return\n return `service-${Hash.fast(channel)}.json`\n}\n\nexport function versionBelongsToChannel(\n version: string | undefined,\n channel = OPENCODE_CHANNEL,\n installedVersion = OPENCODE_VERSION,\n) {\n if (version === undefined) return false\n if (version === installedVersion) return true\n const prefix = `0.0.0-${channel}-`\n if (!version.startsWith(prefix)) return false\n return /^\\d+(?:\\.\\d+)?$/.test(version.slice(prefix.length))\n}\n\nexport const migrateRegistration = Effect.fnUntraced(function* (\n legacy: string,\n file: string,\n channel = OPENCODE_CHANNEL,\n installedVersion = OPENCODE_VERSION,\n) {\n const fs = yield* FileSystem.FileSystem\n const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n if (Option.isNone(text)) return\n const registration = yield* decodeRegistration(text.value).pipe(Effect.option)\n if (Option.isNone(registration)) return\n if (!versionBelongsToChannel(registration.value.version, channel, installedVersion)) return\n yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nexport const migrateConfig = Effect.fnUntraced(function* (legacy: string, file: string) {\n const fs = yield* FileSystem.FileSystem\n const text = yield* fs.readFileString(legacy).pipe(Effect.option)\n if (Option.isNone(text)) return\n if (Option.isNone(yield* decodeInfo(text.value).pipe(Effect.option))) return\n yield* fs.writeFileString(file, text.value, { flag: \"wx\", mode: 0o600 }).pipe(Effect.ignore)\n})\n\nfunction configKey(key: string): Key {\n if (key === \"hostname\" || key === \"port\" || key === \"password\" || key === \"env\") return key\n throw new Error(`Unknown service config key: ${key}`)\n}\n\nconst paths = Effect.gen(function* () {\n const fs = yield* FileSystem.FileSystem\n const global = yield* Global.Service\n const name = filename()\n const legacy = legacyFilename()\n const file = path.join(global.state, name)\n return {\n fs,\n file,\n legacyConfigFile: legacy ? path.join(global.config, legacy) : undefined,\n legacyRegistrationFiles: [\n ...(legacy ? [path.join(global.state, legacy)] : []),\n ...(name !== \"service.json\" && OPENCODE_CHANNEL !== \"local\" ? [path.join(global.state, \"service.json\")] : []),\n ],\n configFile: path.join(global.config, name),\n }\n})\n\nexport const options = Effect.fnUntraced(function* (input: { readonly checkVersion?: boolean } = {}) {\n const { file, legacyRegistrationFiles } = yield* paths\n yield* Effect.forEach(legacyRegistrationFiles, (legacy) => migrateRegistration(legacy, file))\n return {\n file,\n version: input.checkVersion ? OPENCODE_VERSION : undefined,\n env: (yield* read()).env,\n command: [\n ...selfCommand(),\n \"serve\",\n \"--service\",\n ],\n }\n})\n\nexport const read = Effect.fn(\"cli.service-config.read\")(function* () {\n const { fs, configFile, legacyConfigFile } = yield* paths\n if (legacyConfigFile) yield* migrateConfig(legacyConfigFile, configFile)\n return yield* fs.readFileString(configFile).pipe(\n Effect.flatMap(decodeInfo),\n Effect.catch(() => Effect.succeed({} as Info)),\n )\n})\n\nconst write = Effect.fn(\"cli.service-config.write\")(function* (value: Info) {\n const { fs, configFile } = yield* paths\n const temp = configFile + \".tmp\"\n yield* fs.makeDirectory(path.dirname(configFile), { recursive: true })\n yield* fs.writeFileString(temp, JSON.stringify(value, null, 2) + \"\\n\", { mode: 0o600 })\n yield* fs.rename(temp, configFile)\n})\n\nexport const password = Effect.fn(\"cli.service-config.password\")(function* (value?: string) {\n const existing = yield* read()\n if (value === undefined && existing.password) return existing.password\n const next = value ?? randomBytes(32).toString(\"base64url\")\n\n // Keep one private credential across server restarts so discovered clients\n // can reconnect without exposing a password flag or environment variable.\n yield* write({ ...existing, password: next })\n return next\n})\n\nexport const get = Effect.fn(\"cli.service-config.get\")(function* (key?: string, name?: string) {\n if (key === undefined) {\n const { password: _password, ...safe } = yield* read()\n return JSON.stringify(safe, null, 2)\n }\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)\n switch (selected) {\n case \"hostname\": {\n return (yield* read()).hostname ?? \"\"\n }\n case \"port\": {\n const port = (yield* read()).port\n return port === undefined ? \"\" : String(port)\n }\n case \"password\": {\n return yield* password()\n }\n case \"env\": {\n const env = (yield* read()).env ?? {}\n return name === undefined ? JSON.stringify(env, null, 2) : (env[name] ?? \"\")\n }\n }\n throw new Error(`Unknown service config key: ${key}`)\n})\n\nexport const set = Effect.fn(\"cli.service-config.set\")(function* (key: string, value: string, nestedValue?: string) {\n const selected = configKey(key)\n if (selected !== \"env\" && nestedValue !== undefined)\n throw new Error(`Usage: opencode service set ${selected} <value>`)\n switch (selected) {\n case \"hostname\": {\n yield* Service.stop(yield* options())\n yield* write({ ...(yield* read()), hostname: value })\n return\n }\n case \"port\": {\n const port = Number(value)\n if (!Number.isInteger(port) || port < 1 || port > 65_535) throw new Error(\"Port must be between 1 and 65535\")\n yield* Service.stop(yield* options())\n yield* write({ ...(yield* read()), port })\n return\n }\n case \"password\": {\n yield* Service.stop(yield* options())\n yield* password(value)\n return\n }\n case \"env\": {\n if (nestedValue === undefined) throw new Error(\"Usage: opencode service set env <key> <value>\")\n yield* Service.stop(yield* options())\n const existing = yield* read()\n yield* write({ ...existing, env: { ...existing.env, [value]: nestedValue } })\n return\n }\n }\n})\n\nexport const unset = Effect.fn(\"cli.service-config.unset\")(function* (key: string, name?: string) {\n const selected = configKey(key)\n if (selected !== \"env\" && name !== undefined) throw new Error(`Usage: opencode service unset ${selected}`)\n switch (selected) {\n case \"hostname\": {\n yield* Service.stop(yield* options())\n const { hostname: _hostname, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"port\": {\n yield* Service.stop(yield* options())\n const { port: _port, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"password\": {\n yield* Service.stop(yield* options())\n const { password: _password, ...next } = yield* read()\n yield* write(next)\n return\n }\n case \"env\": {\n if (name === undefined) throw new Error(\"Usage: opencode service unset env <key>\")\n yield* Service.stop(yield* options())\n const existing = yield* read()\n const { [name]: _removed, ...env } = existing.env ?? {}\n const { env: _existingEnv, ...rest } = existing\n yield* write(Object.keys(env).length === 0 ? rest : { ...rest, env })\n return\n }\n }\n})\n\nexport * as ServiceConfig from \"./service-config\"\n" | ||
| ], | ||
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| ||
| "debugId": "659A8767E157716364756E2164756E21", | ||
| "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": "88D2E4735828D76664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "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": "F3D6BB57CEDAADC664756E2164756E21", | ||
| "names": [] | ||
| } |
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| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
| ], | ||
| "mappings": "", | ||
| "debugId": "A3931305A97396FD64756E2164756E21", | ||
| "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 headers = {\n \"content-type\": FSUtil.mimeType(name),\n \"cache-control\": html ? \"no-cache\" : \"public, max-age=31536000, immutable\",\n \"content-security-policy\": html\n ? cspForHtml(typeof file === \"string\" ? file : Buffer.from(file).toString())\n : csp(),\n \"x-content-type-options\": \"nosniff\",\n }\n return Effect.succeed(\n request.method === \"HEAD\" ? HttpServerResponse.empty({ headers }) : HttpServerResponse.raw(file, { headers }),\n )\n}\n\nfunction isRouteNotFound(error: unknown) {\n return error instanceof HttpServerError.HttpServerError && error.reason._tag === \"RouteNotFound\"\n}\n\nfunction csp(hash = \"\") {\n return `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'${hash ? ` 'sha256-${hash}'` : \"\"}; style-src 'self' 'unsafe-inline'; img-src 'self' data: https: blob:; font-src 'self' data:; media-src 'self' data:; connect-src * data: blob:`\n}\n\nfunction cspForHtml(body: string) {\n const match = body.match(\n /<script\\b(?![^>]*\\bsrc\\s*=)[^>]*\\bid=([\"'])oc-theme-preload-script\\1[^>]*>([\\s\\S]*?)<\\/script>/i,\n )\n return csp(match ? createHash(\"sha256\").update(match[2]).digest(\"base64\") : \"\")\n}\n\nexport * as WebUi from \"./web-ui\"\n", | ||
| "import { Effect, FileSystem, Option } from \"effect\"\nimport path from \"node:path\"\nimport { brotliDecompressSync } from \"node:zlib\"\nimport { OPENCODE_LOCAL } from \"./version\"\n\nexport type AssetMap = Readonly<Record<string, string | Uint8Array>>\ntype EncodedAssetMap = Readonly<Record<string, { readonly content: string; readonly encoding: \"utf8\" | \"base64\" }>>\n\nexport const load = Effect.fn(\"cli.app-assets.load\")(function* () {\n const embedded = yield* Effect.tryPromise(() => import(\"virtual:opencode-app-assets\")).pipe(Effect.option)\n if (Option.isSome(embedded) && embedded.value.default.length > 0) return decodeArchive(embedded.value.default)\n if (!OPENCODE_LOCAL) return yield* Effect.fail(new Error(\"Web UI assets are missing from the CLI build\"))\n return decode(yield* sourceAssets())\n})\n\nfunction decodeArchive(archive: string) {\n const body = brotliDecompressSync(Buffer.from(archive, \"base64\")).toString()\n return decode(JSON.parse(body) as EncodedAssetMap)\n}\n\nconst sourceAssets = Effect.fnUntraced(function* () {\n const fs = yield* FileSystem.FileSystem\n const root = path.resolve(import.meta.dirname, \"../../app/dist\")\n const files = yield* fs.readDirectory(root, { recursive: true })\n return Object.fromEntries(\n (yield* Effect.forEach(\n files.filter((file) => !file.endsWith(\".map\")),\n Effect.fnUntraced(function* (file) {\n const target = path.join(root, file)\n if ((yield* fs.stat(target)).type === \"Directory\") return\n const body = Buffer.from(yield* fs.readFile(target))\n const encoding = isText(file) ? \"utf8\" : \"base64\"\n return [file, { encoding, content: body.toString(encoding) }] as const\n }),\n { concurrency: \"unbounded\" },\n )).filter((asset) => asset !== undefined),\n )\n})\n\nfunction decode(assets: EncodedAssetMap): AssetMap {\n return Object.fromEntries(\n Object.entries(assets).map(([key, asset]) => [\n key,\n asset.encoding === \"utf8\" ? asset.content : Buffer.from(asset.content, \"base64\"),\n ]),\n )\n}\n\nfunction isText(file: string) {\n return file === \"_headers\" || /\\.(?:css|html|js|json|svg|txt|webmanifest|xml)$/.test(file)\n}\n", | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerProcess } from \"../../server-process\"\n\nexport default Runtime.handler(\n Commands.commands.serve,\n Effect.fnUntraced(function* (input) {\n if (input.service && input.stdio) return yield* Effect.fail(new Error(\"--service and --stdio cannot be combined\"))\n return yield* ServerProcess.run({\n mode: input.service ? \"service\" : input.stdio ? \"stdio\" : \"default\",\n hostname: Option.getOrUndefined(input.hostname),\n port: Option.getOrUndefined(input.port),\n })\n }),\n)\n" | ||
| ], | ||
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| ||
| "debugId": "D65A450A875C5A9464756E2164756E21", | ||
| "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": "D3CC4EBF23AB082564756E2164756E21", | ||
| "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,\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": "738F4DBDF481657464756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../core/src/mcp/oauth.ts"], | ||
| "sourcesContent": [ | ||
| "export * as MCPOAuth from \"./oauth.js\"\n\nimport { auth, type OAuthClientProvider } from \"@modelcontextprotocol/sdk/client/auth.js\"\nimport type { OAuthClientInformationMixed, OAuthTokens } from \"@modelcontextprotocol/sdk/shared/auth.js\"\nimport { Deferred, Effect } from \"effect\"\nimport { Credential } from \"@opencode-ai/schema/credential\"\nimport { ConfigMCP } from \"@opencode-ai/schema/config/mcp\"\nimport { OauthCallbackPage } from \"../oauth/page.js\"\nimport type { Integration } from \"../integration.js\"\n\n/** Persists the OAuth artifacts for one MCP server session: DCR client info, PKCE verifier, and tokens. */\nexport interface Store {\n readonly tokens: () => Promise<OAuthTokens | undefined>\n readonly saveTokens: (tokens: OAuthTokens) => Promise<void>\n readonly clientInformation: () => Promise<OAuthClientInformationMixed | undefined>\n readonly saveClientInformation: (info: OAuthClientInformationMixed) => Promise<void>\n readonly codeVerifier: () => Promise<string | undefined>\n readonly saveCodeVerifier: (verifier: string) => Promise<void>\n}\n\nexport interface Options {\n /** Loopback URL the authorization server redirects back to after the user approves. */\n readonly redirectUrl: string\n /** Space-delimited OAuth scopes to request when the server requires specific ones. */\n readonly scope?: string\n /** CSRF state embedded in the authorization request; required by the spec and enforced by some servers.\n * The caller is responsible for validating the value echoed back to the redirect. */\n readonly state?: string\n /** Statically pre-registered client credentials from config; when set, the SDK skips dynamic registration. */\n readonly client?: { readonly id: string; readonly secret?: string }\n /** Invoked by the SDK to drop credentials it has determined are invalid (e.g. a rejected refresh token). */\n readonly invalidate?: (scope: \"all\" | \"client\" | \"tokens\" | \"verifier\" | \"discovery\") => void | Promise<void>\n /** Receives the authorization URL so the caller can open a browser and capture the eventual code. */\n readonly onRedirect: (url: URL) => void | Promise<void>\n readonly store: Store\n}\n\n/**\n * Builds the MCP SDK's OAuthClientProvider. The SDK drives dynamic client registration, PKCE, and\n * token refresh through these callbacks; we only persist whatever it hands back via `store`.\n */\nexport const provider = (options: Options): OAuthClientProvider => {\n const state = options.state\n const client = options.client\n return {\n redirectUrl: options.redirectUrl,\n clientMetadata: {\n redirect_uris: [options.redirectUrl],\n client_name: \"opencode\",\n client_uri: \"https://opencode.ai\",\n grant_types: [\"authorization_code\", \"refresh_token\"],\n response_types: [\"code\"],\n token_endpoint_auth_method: client?.secret ? \"client_secret_post\" : \"none\",\n ...(options.scope ? { scope: options.scope } : {}),\n },\n // Only advertise state when the caller supplied one (the interactive flow); the connect-time\n // provider has no redirect to validate, so it omits it.\n ...(state !== undefined ? { state: () => state } : {}),\n // Static client config short-circuits dynamic registration; otherwise the SDK registers and we persist.\n clientInformation: () =>\n client ? { client_id: client.id, client_secret: client.secret } : options.store.clientInformation(),\n saveClientInformation: (info) => options.store.saveClientInformation(info),\n tokens: () => options.store.tokens(),\n saveTokens: (tokens) => options.store.saveTokens(tokens),\n redirectToAuthorization: (url) => options.onRedirect(url),\n ...(options.invalidate ? { invalidateCredentials: options.invalidate } : {}),\n saveCodeVerifier: (verifier) => options.store.saveCodeVerifier(verifier),\n // The SDK only reads the verifier back after saving one earlier in the same flow; a miss means\n // the flow was resumed without its session state, which the SDK surfaces as an auth failure.\n codeVerifier: async () => {\n const verifier = await options.store.codeVerifier()\n if (!verifier) throw new Error(\"Missing PKCE code verifier for MCP OAuth flow\")\n return verifier\n },\n }\n}\n\n/** A Store that keeps OAuth artifacts in memory for the duration of one interactive login attempt. */\nexport const memoryStore = (): Store => {\n let tokens: OAuthTokens | undefined\n let client: OAuthClientInformationMixed | undefined\n let verifier: string | undefined\n return {\n tokens: async () => tokens,\n saveTokens: async (value) => {\n tokens = value\n },\n clientInformation: async () => client,\n saveClientInformation: async (value) => {\n client = value\n },\n codeVerifier: async () => verifier,\n saveCodeVerifier: async (value) => {\n verifier = value\n },\n }\n}\n\n/** Reads the dynamically-registered client info we stash in a credential's metadata, for token refresh. */\nexport const clientFromCredential = (credential: Credential.OAuth) =>\n credential.metadata?.client as OAuthClientInformationMixed | undefined\n\n/** Folds SDK tokens (plus DCR client info and the server URL) into a storable credential. */\nexport const toCredential = (input: {\n readonly methodID: Integration.MethodID\n readonly serverUrl: string\n readonly tokens: OAuthTokens\n readonly client: OAuthClientInformationMixed | undefined\n}) =>\n Credential.OAuth.make({\n type: \"oauth\",\n methodID: input.methodID,\n access: input.tokens.access_token,\n refresh: input.tokens.refresh_token ?? \"\",\n // 0 marks an unknown/non-expiring token; toTokens then omits expires_in so the SDK won't force a refresh.\n expires: input.tokens.expires_in ? Date.now() + input.tokens.expires_in * 1000 : 0,\n metadata: {\n serverUrl: input.serverUrl,\n tokenType: input.tokens.token_type,\n ...(input.tokens.scope ? { scope: input.tokens.scope } : {}),\n ...(input.client ? { client: input.client } : {}),\n },\n })\n\n/** Reconstructs SDK tokens from a stored credential so the connect-time provider can present them. */\nexport const toTokens = (credential: Credential.OAuth): OAuthTokens => {\n const metadata = credential.metadata ?? {}\n return {\n access_token: credential.access,\n token_type: typeof metadata.tokenType === \"string\" ? metadata.tokenType : \"Bearer\",\n ...(credential.refresh ? { refresh_token: credential.refresh } : {}),\n ...(credential.expires ? { expires_in: Math.max(0, Math.floor((credential.expires - Date.now()) / 1000)) } : {}),\n ...(typeof metadata.scope === \"string\" ? { scope: metadata.scope } : {}),\n }\n}\n\n/**\n * Runs the interactive OAuth login for one remote MCP server. Stands up a loopback callback server,\n * lets the SDK drive DCR + PKCE to produce an authorization URL, and returns an attempt whose callback\n * exchanges the redirect code for a storable credential. Scoped: the callback server closes with the scope.\n */\nexport const authorize = (input: {\n readonly name: string\n readonly config: typeof ConfigMCP.Remote.Type\n readonly methodID: Integration.MethodID\n}) =>\n Effect.gen(function* () {\n const oauth = input.config.oauth || undefined\n const store = memoryStore()\n const code = yield* Deferred.make<string, Error>()\n const redirectPath = oauth?.redirect_uri ? new URL(oauth.redirect_uri).pathname : \"/callback\"\n const state = Buffer.from(crypto.getRandomValues(new Uint8Array(32))).toString(\"base64url\")\n\n // Lazy so runtimes without a loopback listener (workerd) never evaluate node:http.\n const { createServer } = yield* Effect.promise(() => import(\"node:http\"))\n const server = createServer((request, response) => {\n const url = new URL(request.url ?? \"/\", \"http://127.0.0.1\")\n if (url.pathname !== redirectPath) {\n response.writeHead(404).end(\"Not found\")\n return\n }\n const fail = (reason: string) => {\n Effect.runFork(Deferred.fail(code, new Error(reason)))\n response\n .writeHead(400, { \"Content-Type\": \"text/html\" })\n .end(OauthCallbackPage.error(reason, { provider: input.name }))\n }\n const error = url.searchParams.get(\"error_description\") ?? url.searchParams.get(\"error\")\n if (error) return fail(error)\n // Reject a redirect whose state does not match what we issued: this is the CSRF defense the\n // state parameter exists for, so an attacker can't inject their own authorization code.\n if (url.searchParams.get(\"state\") !== state) return fail(\"OAuth state mismatch\")\n const value = url.searchParams.get(\"code\")\n if (!value) return fail(\"Missing authorization code\")\n Effect.runFork(Deferred.succeed(code, value))\n response.writeHead(200, { \"Content-Type\": \"text/html\" }).end(OauthCallbackPage.success({ provider: input.name }))\n })\n\n // Bind the port the redirect will actually arrive on: an explicit callback_port wins, else the port\n // pinned by redirect_uri, else an ephemeral port. Binding ephemerally while redirect_uri names a fixed\n // port would send the browser somewhere nothing is listening, hanging the attempt until it expires.\n const redirectPort = oauth?.redirect_uri ? Number(new URL(oauth.redirect_uri).port) || undefined : undefined\n const port = yield* Effect.callback<number, Error>((resume) => {\n server.once(\"error\", (error) => resume(Effect.fail(error)))\n server.listen(oauth?.callback_port ?? redirectPort ?? 0, \"127.0.0.1\", () => {\n const address = server.address()\n resume(\n address && typeof address === \"object\"\n ? Effect.succeed(address.port)\n : Effect.fail(new Error(\"Could not determine MCP OAuth callback port\")),\n )\n })\n })\n yield* Effect.addFinalizer(() => Effect.sync(() => server.close()))\n\n let authorizationUrl: URL | undefined\n const oauthProvider = provider({\n redirectUrl: oauth?.redirect_uri ?? `http://127.0.0.1:${port}${redirectPath}`,\n scope: oauth?.scope,\n state,\n client: oauth?.client_id ? { id: oauth.client_id, secret: oauth.client_secret } : undefined,\n onRedirect: (url) => {\n authorizationUrl = url\n },\n store,\n })\n\n const finalize = Effect.gen(function* () {\n const tokens = yield* Effect.promise(() => store.tokens())\n if (!tokens) return yield* Effect.fail(new Error(`MCP server \"${input.name}\" did not return OAuth tokens`))\n const client = yield* Effect.promise(() => store.clientInformation())\n return toCredential({ methodID: input.methodID, serverUrl: input.config.url, tokens, client })\n })\n\n const result = yield* Effect.tryPromise({\n try: () => auth(oauthProvider, { serverUrl: input.config.url, scope: oauth?.scope }),\n catch: (error) => (error instanceof Error ? error : new Error(String(error))),\n })\n\n // The provider may already hold valid tokens (e.g. a re-auth), in which case there is no browser step.\n if (result === \"AUTHORIZED\") {\n return {\n url: input.config.url,\n instructions: `Connected to ${input.name}.`,\n mode: \"auto\" as const,\n callback: finalize,\n }\n }\n if (!authorizationUrl)\n return yield* Effect.fail(new Error(`MCP server \"${input.name}\" did not provide an authorization URL`))\n\n return {\n url: authorizationUrl.toString(),\n instructions: `Authorize ${input.name} in your browser. This window will close automatically.`,\n mode: \"auto\" as const,\n callback: Deferred.await(code).pipe(\n Effect.flatMap((value) =>\n Effect.tryPromise({\n try: () =>\n auth(oauthProvider, { serverUrl: input.config.url, authorizationCode: value, scope: oauth?.scope }),\n catch: (error) => (error instanceof Error ? error : new Error(String(error))),\n }),\n ),\n Effect.flatMap(() => finalize),\n ),\n }\n })\n" | ||
| ], | ||
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| "debugId": "69211EEFEC1A1D0F64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/session.shared.ts", "../tui/src/mini/variant.shared.ts", "../tui/src/mini/theme.ts", "../tui/src/mini/mono.ts"], | ||
| "sourcesContent": [ | ||
| "import type { SessionMessageInfo, SessionMessageUser } from \"@opencode-ai/client/promise\"\nimport { promptCopy, promptSame } from \"./prompt.shared\"\nimport type { RunInput, RunPrompt } from \"./types\"\n\nconst LIMIT = 200\n\nexport type SessionMessages = SessionMessageInfo[]\n\ntype Turn = {\n prompt: RunPrompt\n provider: string | undefined\n model: string | undefined\n variant: string | undefined\n}\n\nexport type RunSession = {\n first: boolean\n turns: Turn[]\n model?: NonNullable<RunInput[\"model\"]>\n variant?: string\n}\n\nfunction messagePrompt(message: SessionMessageUser): RunPrompt {\n return {\n text: message.text,\n parts: [\n ...(message.files ?? []).map((file) => ({\n type: \"file\" as const,\n url: file.source.type === \"uri\" ? file.source.uri : `data:${file.mime};base64,${file.data}`,\n mime: file.mime,\n filename: file.name,\n source: file.mention\n ? {\n type: \"file\",\n path: file.name ?? (file.source.type === \"uri\" ? file.source.uri : \"inline attachment\"),\n text: { start: file.mention.start, end: file.mention.end, value: file.mention.text },\n }\n : undefined,\n })),\n ...(message.agents ?? []).map((agent) => ({\n type: \"agent\" as const,\n name: agent.name,\n source: agent.mention\n ? { start: agent.mention.start, end: agent.mention.end, value: agent.mention.text }\n : undefined,\n })),\n ],\n }\n}\n\nexport function createSession(messages: SessionMessages): RunSession {\n return {\n first: messages.length === 0,\n turns: messages.flatMap((message) =>\n message.type === \"user\"\n ? [{ prompt: messagePrompt(message), provider: undefined, model: undefined, variant: undefined }]\n : [],\n ),\n }\n}\n\nexport async function resolveCurrentSession(\n sdk: RunInput[\"sdk\"],\n sessionID: string,\n signal?: AbortSignal,\n limit = LIMIT,\n): Promise<RunSession> {\n const [response, session] = await Promise.all([\n sdk.message.list({ sessionID, limit, order: \"desc\" }, ...requestOptions(signal)),\n sdk.session.get({ sessionID }, ...requestOptions(signal)),\n ])\n const current = createSession(response.data.toReversed())\n return {\n ...current,\n turns: current.turns.map((turn) => ({\n ...turn,\n provider: session.model?.providerID,\n model: session.model?.id,\n variant: session.model?.variant,\n })),\n ...(session.model && {\n model: { providerID: session.model.providerID, modelID: session.model.id },\n variant: session.model.variant,\n }),\n }\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n return signal ? [{ signal }] : []\n}\n\nexport function sessionHistory(session: RunSession, limit = LIMIT): RunPrompt[] {\n return session.turns\n .map((turn) => turn.prompt)\n .filter((prompt) => prompt.text.trim())\n .filter((prompt, index, prompts) => index === 0 || !promptSame(prompts[index - 1], prompt))\n .map(promptCopy)\n .slice(-limit)\n}\n\nexport function sessionVariant(session: RunSession, model: RunInput[\"model\"]): string | undefined {\n if (!model) return\n if (session.model?.providerID === model.providerID && session.model.modelID === model.modelID) return session.variant\n\n return session.turns.findLast((turn) => turn.provider === model.providerID && turn.model === model.modelID)?.variant\n}\n", | ||
| "// Model variant resolution and persistence.\n//\n// Variants are provider-specific reasoning effort levels (e.g., \"high\", \"max\").\n// Resolution priority: CLI --variant flag > valid session history > saved preference.\n//\n// The saved variant persists across sessions in ~/.local/state/opencode/model.json\n// so your last-used variant sticks. Cycling (ctrl+t) updates both the active\n// variant and the persisted file.\nimport { createSession, sessionVariant, type RunSession, type SessionMessages } from \"./session.shared\"\nimport type { RunInput, RunProvider } from \"./types\"\nimport { cycleModelVariant, normalizeModelVariant } from \"../model-preference\"\n\nexport function modelInfo(providers: RunProvider[] | undefined, model: NonNullable<RunInput[\"model\"]>) {\n const provider = providers?.find((item) => item.id === model.providerID)\n return {\n provider: provider?.name ?? model.providerID,\n model: provider?.models[model.modelID]?.name ?? model.modelID,\n }\n}\n\nexport function formatModelLabel(\n model: NonNullable<RunInput[\"model\"]>,\n variant: string | undefined,\n providers?: RunProvider[],\n): string {\n const names = modelInfo(providers, model)\n const label = variant ? ` · ${variant}` : \"\"\n return `${names.model} · ${names.provider}${label}`\n}\n\nexport function cycleVariant(current: string | undefined, variants: string[]): string | undefined {\n return cycleModelVariant(current, variants)\n}\n\nexport function pickVariant(model: RunInput[\"model\"], input: RunSession | SessionMessages): string | undefined {\n return sessionVariant(Array.isArray(input) ? createSession(input) : input, model)\n}\n\nfunction fitVariant(value: string | undefined, variants: string[]): string | undefined {\n const normalized = normalizeModelVariant(value)\n return normalized && (variants.length === 0 || variants.includes(normalized)) ? normalized : undefined\n}\n\n// Picks the active variant. CLI flag wins, then valid session history, then the\n// saved preference. Saved and session values are dropped when the provider no\n// longer offers them.\nexport function resolveVariant(\n input: string | undefined,\n session: string | undefined,\n saved: string | undefined,\n variants: string[],\n): string | undefined {\n if (input !== undefined) {\n return normalizeModelVariant(input)\n }\n\n return fitVariant(session, variants) ?? fitVariant(saved, variants)\n}\n", | ||
| "// Theme resolution for direct interactive mode.\n//\n// Derives scrollback and footer colors from the terminal's actual palette.\n// resolveRunTheme() queries the renderer for the terminal's palette,\n// detects dark/light mode, builds a small system theme locally, and maps it to\n// the run footer + scrollback color model. Falls back to a hardcoded dark-mode\n// palette if detection fails.\nimport { RGBA, SyntaxStyle, type CliRenderer, type ColorInput, type TerminalColors } from \"@opentui/core\"\nimport type { TuiThemeCurrent } from \"@opencode-ai/plugin/v1/tui\"\nimport { ansiToRgba } from \"../theme/color\"\nimport { resolveThemeColors } from \"../theme/resolve\"\nimport { terminalMode } from \"../theme/system\"\nimport type { ThemeV1Json } from \"../theme/v1\"\nimport type { EntryKind, RunTuiConfig } from \"./types\"\n\ntype Tone = {\n body: ColorInput\n start?: ColorInput\n}\n\nexport type RunEntryTheme = Record<EntryKind, Tone>\n\nexport type RunSplashTheme = {\n left: ColorInput\n right: ColorInput\n leftShadow: ColorInput\n}\n\nexport type RunFooterTheme = {\n highlight: ColorInput\n selected: ColorInput\n selectedText: ColorInput\n warning: ColorInput\n error: ColorInput\n muted: ColorInput\n text: ColorInput\n status: ColorInput\n statusAccent: ColorInput\n shade: ColorInput\n surface: ColorInput\n pane: ColorInput\n border: ColorInput\n line: ColorInput\n}\n\nexport type RunBlockTheme = {\n text: ColorInput\n muted: ColorInput\n syntax?: SyntaxStyle\n diffRemoved: ColorInput\n diffAddedBg: ColorInput\n diffRemovedBg: ColorInput\n diffContextBg: ColorInput\n diffHighlightAdded: ColorInput\n diffHighlightRemoved: ColorInput\n diffLineNumber: ColorInput\n diffAddedLineNumberBg: ColorInput\n diffRemovedLineNumberBg: ColorInput\n}\n\nexport type RunTheme = {\n background: ColorInput\n footer: RunFooterTheme\n entry: RunEntryTheme\n splash: RunSplashTheme\n block: RunBlockTheme\n}\n\ntype ThemeColor = Exclude<keyof TuiThemeCurrent, \"thinkingOpacity\">\n\ntype SharedSyntaxTheme = TuiThemeCurrent & {\n _hasSelectedListItemText: boolean\n}\n\nexport const transparent = RGBA.fromValues(0, 0, 0, 0)\n\nfunction alpha(color: RGBA, value: number): RGBA {\n return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, value)))\n}\n\nfunction rgba(hex: string, value?: number): RGBA {\n const color = RGBA.fromHex(hex)\n return value === undefined ? color : alpha(color, value)\n}\n\nfunction colorMode(bg: RGBA): \"dark\" | \"light\" {\n return luminance(bg) > 0.5 ? \"light\" : \"dark\"\n}\n\nfunction luminance(color: RGBA): number {\n return 0.299 * color.r + 0.587 * color.g + 0.114 * color.b\n}\n\nfunction fade(color: RGBA, base: RGBA, fallback: number, scale: number, limit: number): RGBA {\n if (color.a === 0) {\n return RGBA.fromValues(color.r, color.g, color.b, Math.max(0, Math.min(1, fallback)))\n }\n\n const target = Math.min(limit, color.a * scale)\n const mix = Math.min(1, target / color.a)\n\n return RGBA.fromValues(\n base.r + (color.r - base.r) * mix,\n base.g + (color.g - base.g) * mix,\n base.b + (color.b - base.b) * mix,\n color.a,\n )\n}\n\nfunction tint(base: RGBA, overlay: RGBA, value: number): RGBA {\n return RGBA.fromInts(\n Math.round((base.r + (overlay.r - base.r) * value) * 255),\n Math.round((base.g + (overlay.g - base.g) * value) * 255),\n Math.round((base.b + (overlay.b - base.b) * value) * 255),\n )\n}\n\nfunction chroma(color: RGBA) {\n return Math.max(color.r, color.g, color.b) - Math.min(color.r, color.g, color.b)\n}\n\nfunction indexedPalette(colors: TerminalColors, size: number = Math.max(colors.palette.length, 16)): RGBA[] {\n return Array.from({ length: size }, (_, index) => {\n const value = colors.palette[index]\n return RGBA.fromIndex(index, value ? RGBA.fromHex(value) : ansiToRgba(index))\n })\n}\n\nfunction srgbToLinear(value: number): number {\n if (value <= 0.04045) {\n return value / 12.92\n }\n\n return ((value + 0.055) / 1.055) ** 2.4\n}\n\nfunction oklab(color: RGBA) {\n const r = srgbToLinear(color.r)\n const g = srgbToLinear(color.g)\n const b = srgbToLinear(color.b)\n\n const l = Math.cbrt(0.4122214708 * r + 0.5363325363 * g + 0.0514459929 * b)\n const m = Math.cbrt(0.2119034982 * r + 0.6806995451 * g + 0.1073969566 * b)\n const s = Math.cbrt(0.0883024619 * r + 0.2817188376 * g + 0.6299787005 * b)\n\n return {\n l: 0.2104542553 * l + 0.793617785 * m - 0.0040720468 * s,\n a: 1.9779984951 * l - 2.428592205 * m + 0.4505937099 * s,\n b: 0.0259040371 * l + 0.7827717662 * m - 0.808675766 * s,\n }\n}\n\nfunction nearestIndexed(indexed: RGBA[], rgba: RGBA): RGBA {\n const target = oklab(rgba)\n const hit = indexed.reduce(\n (best, item) => {\n const sample = oklab(item)\n const dl = sample.l - target.l\n const da = sample.a - target.a\n const db = sample.b - target.b\n const dist = dl * dl * 2 + da * da + db * db\n if (dist >= best.dist) return best\n return {\n dist,\n item,\n }\n },\n {\n dist: Number.POSITIVE_INFINITY,\n item: indexed[0]!,\n },\n )\n\n return RGBA.clone(hit.item)\n}\n\nfunction paletteColor(colors: TerminalColors, index: number): RGBA {\n const value = colors.palette[index]\n return value ? RGBA.fromHex(value) : ansiToRgba(index)\n}\n\nfunction splashShadow(indexed: RGBA[], base: RGBA, overlay: RGBA, value: number): RGBA {\n const mixed = tint(base, overlay, value)\n return nearestIndexed(indexed, mixed)\n}\n\nexport function resolveTheme(theme: ThemeV1Json, pick: \"dark\" | \"light\"): TuiThemeCurrent {\n const resolved = resolveThemeColors(theme, pick, (code) => RGBA.fromIndex(code, ansiToRgba(code)))\n return {\n ...resolved.theme,\n thinkingOpacity: resolved.thinkingOpacity,\n }\n}\n\nfunction generateGrayScale(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): Record<number, RGBA> {\n const r = bg.r * 255\n const g = bg.g * 255\n const b = bg.b * 255\n const lum = 0.299 * r + 0.587 * g + 0.114 * b\n const cast = 0.25 * (1 - chroma(bg)) ** 2\n\n const gray = (level: number) => {\n const factor = level / 12\n\n if (isDark && lum < 10) {\n const value = Math.floor(factor * 0.4 * 255)\n return map(RGBA.fromInts(value, value, value))\n }\n\n if (!isDark && lum > 245) {\n const value = Math.floor(255 - factor * 0.4 * 255)\n return map(RGBA.fromInts(value, value, value))\n }\n\n const value = isDark ? lum + (255 - lum) * factor * 0.4 : lum * (1 - factor * 0.4)\n const tone = RGBA.fromInts(Math.floor(value), Math.floor(value), Math.floor(value))\n if (cast === 0) return map(tone)\n\n const ratio = lum === 0 ? 0 : value / lum\n return map(\n tint(\n tone,\n RGBA.fromInts(\n Math.floor(Math.max(0, Math.min(r * ratio, 255))),\n Math.floor(Math.max(0, Math.min(g * ratio, 255))),\n Math.floor(Math.max(0, Math.min(b * ratio, 255))),\n ),\n cast,\n ),\n )\n }\n\n return Object.fromEntries(Array.from({ length: 12 }, (_, index) => [index + 1, gray(index + 1)]))\n}\n\nfunction generateMutedTextColor(bg: RGBA, isDark: boolean, map: (rgba: RGBA) => RGBA): RGBA {\n const lum = 0.299 * bg.r * 255 + 0.587 * bg.g * 255 + 0.114 * bg.b * 255\n const gray = isDark\n ? lum < 10\n ? 180\n : Math.min(Math.floor(160 + lum * 0.3), 200)\n : lum > 245\n ? 75\n : Math.max(Math.floor(100 - (255 - lum) * 0.2), 60)\n\n return map(RGBA.fromInts(gray, gray, gray))\n}\n\nexport function generateSystem(colors: TerminalColors, pick: \"dark\" | \"light\"): ThemeV1Json {\n const bg_snapshot = RGBA.fromHex(colors.defaultBackground ?? colors.palette[0]!)\n const fg_snapshot = RGBA.fromHex(colors.defaultForeground ?? colors.palette[7]!)\n const bg = RGBA.defaultBackground(bg_snapshot)\n const fg = RGBA.defaultForeground(fg_snapshot)\n const isDark = pick === \"dark\"\n\n const color = (index: number) => paletteColor(colors, index)\n\n const grays = generateGrayScale(bg_snapshot, isDark, (rgba) => rgba)\n const textMuted = generateMutedTextColor(bg_snapshot, isDark, (rgba) => rgba)\n\n const ansi = {\n red: color(1),\n green: color(2),\n yellow: color(3),\n blue: color(4),\n magenta: color(5),\n cyan: color(6),\n red_bright: color(9),\n green_bright: color(10),\n }\n\n const diff_alpha = isDark ? 0.22 : 0.14\n const diff_context_bg = grays[2]\n const primary = ansi.cyan\n const secondary = ansi.magenta\n\n return {\n theme: {\n primary,\n secondary,\n accent: primary,\n error: ansi.red,\n warning: ansi.yellow,\n success: ansi.green,\n info: ansi.cyan,\n text: fg,\n textMuted,\n selectedListItemText: bg,\n background: alpha(bg, 0),\n backgroundPanel: grays[2],\n backgroundElement: grays[3],\n backgroundMenu: grays[3],\n borderSubtle: grays[6],\n border: grays[7],\n borderActive: grays[8],\n diffAdded: ansi.green,\n diffRemoved: ansi.red,\n diffContext: grays[7],\n diffHunkHeader: grays[7],\n diffHighlightAdded: ansi.green_bright,\n diffHighlightRemoved: ansi.red_bright,\n diffAddedBg: tint(bg_snapshot, ansi.green, diff_alpha),\n diffRemovedBg: tint(bg_snapshot, ansi.red, diff_alpha),\n diffContextBg: diff_context_bg,\n diffLineNumber: textMuted,\n diffAddedLineNumberBg: tint(diff_context_bg, ansi.green, diff_alpha),\n diffRemovedLineNumberBg: tint(diff_context_bg, ansi.red, diff_alpha),\n markdownText: fg,\n markdownHeading: fg,\n markdownLink: ansi.blue,\n markdownLinkText: ansi.cyan,\n markdownCode: ansi.green,\n markdownBlockQuote: ansi.yellow,\n markdownEmph: ansi.yellow,\n markdownStrong: fg,\n markdownHorizontalRule: grays[7],\n markdownListItem: ansi.blue,\n markdownListEnumeration: ansi.cyan,\n markdownImage: ansi.blue,\n markdownImageText: ansi.cyan,\n markdownCodeBlock: fg,\n syntaxComment: textMuted,\n syntaxKeyword: ansi.magenta,\n syntaxFunction: ansi.blue,\n syntaxVariable: fg,\n syntaxString: ansi.green,\n syntaxNumber: ansi.yellow,\n syntaxType: ansi.cyan,\n syntaxOperator: ansi.cyan,\n syntaxPunctuation: fg,\n },\n }\n}\n\nfunction quantizeColor(indexed: RGBA[], rgba: RGBA): RGBA {\n if (rgba.a === 0 || rgba.intent === \"default\" || rgba.intent === \"indexed\") {\n return RGBA.clone(rgba)\n }\n\n return nearestIndexed(indexed, rgba)\n}\n\nfunction quantizeTheme(theme: TuiThemeCurrent, indexed: RGBA[]): TuiThemeCurrent {\n const resolved = Object.fromEntries(\n Object.entries(theme)\n .filter(([key]) => key !== \"thinkingOpacity\")\n .map(([key, value]) => [key, quantizeColor(indexed, value as RGBA)]),\n ) as Partial<Record<ThemeColor, RGBA>>\n\n return {\n ...(resolved as Record<ThemeColor, RGBA>),\n thinkingOpacity: theme.thinkingOpacity,\n }\n}\n\nfunction splashTheme(theme: TuiThemeCurrent, indexed: RGBA[]): RunSplashTheme {\n const left = nearestIndexed(indexed, theme.textMuted)\n const right = nearestIndexed(indexed, theme.text)\n return {\n left,\n right,\n leftShadow: splashShadow(indexed, theme.background, left, 0.14),\n }\n}\n\nfunction map(\n footerTheme: TuiThemeCurrent,\n scrollbackTheme: TuiThemeCurrent,\n splash: RunSplashTheme,\n syntax?: SyntaxStyle,\n): RunTheme {\n const footerBackground = alpha(footerTheme.background, 1)\n const footerMode = colorMode(footerBackground)\n const shade = fade(footerTheme.backgroundMenu, footerTheme.background, 0.12, 0.56, 0.72)\n const surface = fade(footerTheme.backgroundMenu, footerTheme.background, 0.18, 0.76, 0.9)\n const line = fade(footerTheme.backgroundMenu, footerTheme.background, 0.24, 0.9, 0.98)\n const statusBase = tint(footerBackground, rgba(\"#000000\"), footerMode === \"dark\" ? 0.13 : 0.06)\n const statusAccentBase =\n footerMode === \"dark\" ? tint(footerBackground, rgba(\"#ffffff\"), 0.06) : tint(statusBase, rgba(\"#000000\"), 0.04)\n const collapsedStatus = footerMode === \"dark\" && luminance(statusBase) <= 0.04\n // Pure-black backgrounds need a slight lift or the row disappears into the terminal background.\n const status = collapsedStatus ? tint(statusBase, statusAccentBase, 0.7) : statusBase\n const statusAccent = collapsedStatus ? tint(status, rgba(\"#ffffff\"), 0.06) : statusAccentBase\n\n return {\n background: footerTheme.background,\n footer: {\n highlight: footerTheme.primary,\n selected: footerTheme.backgroundElement,\n selectedText: footerTheme.selectedListItemText,\n warning: footerTheme.warning,\n error: footerTheme.error,\n muted: footerTheme.textMuted,\n text: footerTheme.text,\n status,\n statusAccent,\n shade,\n surface,\n pane: footerTheme.backgroundMenu,\n border: footerTheme.border,\n line,\n },\n entry: {\n system: {\n body: scrollbackTheme.textMuted,\n },\n user: {\n body: scrollbackTheme.primary,\n },\n assistant: {\n body: scrollbackTheme.text,\n },\n reasoning: {\n body: scrollbackTheme.textMuted,\n },\n tool: {\n body: scrollbackTheme.text,\n start: scrollbackTheme.textMuted,\n },\n error: {\n body: scrollbackTheme.error,\n },\n },\n splash,\n block: {\n text: scrollbackTheme.text,\n muted: scrollbackTheme.textMuted,\n syntax,\n diffRemoved: scrollbackTheme.diffRemoved,\n diffAddedBg: transparent,\n diffRemovedBg: transparent,\n diffContextBg: transparent,\n diffHighlightAdded: scrollbackTheme.diffHighlightAdded,\n diffHighlightRemoved: scrollbackTheme.diffHighlightRemoved,\n diffLineNumber: scrollbackTheme.diffLineNumber,\n diffAddedLineNumberBg: scrollbackTheme.diffAddedLineNumberBg,\n diffRemovedLineNumberBg: scrollbackTheme.diffRemovedLineNumberBg,\n },\n }\n}\n\nconst seed = {\n highlight: RGBA.fromIndex(6, rgba(\"#38bdf8\")),\n muted: RGBA.fromIndex(8, rgba(\"#64748b\")),\n text: RGBA.defaultForeground(rgba(\"#f8fafc\")),\n panel: rgba(\"#0f172a\"),\n success: RGBA.fromIndex(2, rgba(\"#22c55e\")),\n warning: RGBA.fromIndex(3, rgba(\"#f59e0b\")),\n error: RGBA.fromIndex(1, rgba(\"#ef4444\")),\n}\n\nfunction tone(body: ColorInput, start?: ColorInput): Tone {\n return {\n body,\n start,\n }\n}\n\nconst fallbackSplashIndexed = Array.from({ length: 256 }, (_, index) => RGBA.fromIndex(index))\nconst fallbackSplashLeft = RGBA.fromIndex(67)\nconst fallbackSplashRight = RGBA.fromIndex(110)\n\nexport const RUN_THEME_FALLBACK: RunTheme = {\n background: RGBA.fromValues(0, 0, 0, 0),\n footer: {\n highlight: seed.highlight,\n selected: seed.text,\n selectedText: seed.panel,\n warning: seed.warning,\n error: seed.error,\n muted: seed.muted,\n text: seed.text,\n status: tint(seed.panel, rgba(\"#000000\"), 0.12),\n statusAccent: tint(seed.panel, rgba(\"#ffffff\"), 0.06),\n shade: alpha(seed.panel, 0.68),\n surface: alpha(seed.panel, 0.86),\n pane: seed.panel,\n border: seed.muted,\n line: alpha(seed.panel, 0.96),\n },\n entry: {\n system: tone(seed.muted),\n user: tone(seed.highlight),\n assistant: tone(seed.text),\n reasoning: tone(seed.muted),\n tool: tone(seed.text, seed.muted),\n error: tone(seed.error),\n },\n splash: {\n left: fallbackSplashLeft,\n right: fallbackSplashRight,\n leftShadow: splashShadow(fallbackSplashIndexed, RGBA.fromValues(0, 0, 0, 0), fallbackSplashLeft, 0.14),\n },\n block: {\n text: seed.text,\n muted: seed.muted,\n diffRemoved: seed.error,\n diffAddedBg: alpha(seed.success, 0.18),\n diffRemovedBg: alpha(seed.error, 0.18),\n diffContextBg: alpha(seed.panel, 0.72),\n diffHighlightAdded: seed.success,\n diffHighlightRemoved: seed.error,\n diffLineNumber: seed.muted,\n diffAddedLineNumberBg: alpha(seed.success, 0.12),\n diffRemovedLineNumberBg: alpha(seed.error, 0.12),\n },\n}\n\nfunction monoTheme(mode: \"dark\" | \"light\"): RunTheme {\n const foreground = RGBA.defaultForeground(mode === \"light\" ? \"#000000\" : \"#ffffff\")\n const background = RGBA.defaultBackground(mode === \"light\" ? \"#ffffff\" : \"#000000\")\n return {\n background,\n footer: {\n highlight: foreground,\n selected: background,\n selectedText: foreground,\n warning: foreground,\n error: foreground,\n muted: foreground,\n text: foreground,\n status: background,\n statusAccent: background,\n shade: background,\n surface: background,\n pane: background,\n border: foreground,\n line: background,\n },\n entry: {\n system: tone(foreground),\n user: tone(foreground),\n assistant: tone(foreground),\n reasoning: tone(foreground),\n tool: tone(foreground),\n error: tone(foreground),\n },\n splash: {\n left: foreground,\n right: foreground,\n leftShadow: background,\n },\n block: {\n text: foreground,\n muted: foreground,\n diffRemoved: foreground,\n diffAddedBg: background,\n diffRemovedBg: background,\n diffContextBg: background,\n diffHighlightAdded: foreground,\n diffHighlightRemoved: foreground,\n diffLineNumber: foreground,\n diffAddedLineNumberBg: background,\n diffRemovedLineNumberBg: background,\n },\n }\n}\n\nexport const RUN_THEME_MONO = monoTheme(\"dark\")\nconst RUN_THEME_MONO_LIGHT = monoTheme(\"light\")\n\nexport async function resolveRunTheme(\n renderer: CliRenderer,\n config?: RunTuiConfig[\"theme\"],\n mono = false,\n): Promise<RunTheme> {\n if (mono) {\n const mode =\n config?.mode === \"light\" || config?.mode === \"dark\"\n ? config.mode\n : (renderer.themeMode ?? (await renderer.waitForThemeMode(300)))\n return mode === \"light\" ? RUN_THEME_MONO_LIGHT : RUN_THEME_MONO\n }\n try {\n const colors = await renderer.getPalette({\n size: 256,\n })\n const bg = colors.defaultBackground ?? colors.palette[0]\n if (!bg) {\n return RUN_THEME_FALLBACK\n }\n\n // Palette-only terminal reloads can leave renderer.themeMode stale, but\n // ANSI slot zero is not the terminal background when OSC 11 is absent.\n const pick =\n config?.mode === \"dark\" || config?.mode === \"light\"\n ? config.mode\n : (terminalMode(colors) ?? renderer.themeMode ?? colorMode(RGBA.fromHex(bg)))\n const { generateSyntax } = await import(\"../theme\")\n const indexed = indexedPalette(colors, 256)\n const footerTheme = resolveTheme(generateSystem(colors, pick), pick)\n const scrollbackTheme = quantizeTheme(footerTheme, indexed)\n const syntaxTheme: SharedSyntaxTheme = {\n ...scrollbackTheme,\n _hasSelectedListItemText: true,\n }\n return map(footerTheme, scrollbackTheme, splashTheme(scrollbackTheme, indexed), generateSyntax(syntaxTheme))\n } catch {\n return RUN_THEME_FALLBACK\n }\n}\n", | ||
| "import {\n BoxRenderable,\n CodeRenderable,\n MarkdownRenderable,\n RGBA,\n Renderable,\n StyledText,\n TextRenderable,\n TextTableRenderable,\n isStyledText,\n stringToStyledText,\n type BorderCharacters,\n type CliRendererExternalOutputEvent,\n type TreeSitterClient,\n} from \"@opentui/core\"\n\nconst prefixes: Record<number, string> = {\n 0x2192: \"->\",\n 0x2190: \"<-\",\n 0x2731: \"*\",\n 0x2699: \"*\",\n 0x2716: \"!\",\n 0x2717: \"!\",\n 0x25c8: \"*\",\n 0x25c9: \"*\",\n 0x27f3: \"*\",\n}\n\nconst markdown: Record<number, string> = {\n ...prefixes,\n 0x00a0: \" \",\n 0x00b7: \"-\",\n 0x2010: \"-\",\n 0x2011: \"-\",\n 0x2012: \"-\",\n 0x2013: \"-\",\n 0x2014: \"--\",\n 0x2018: \"'\",\n 0x2019: \"'\",\n 0x201c: '\"',\n 0x201d: '\"',\n 0x2022: \"*\",\n 0x2026: \"...\",\n 0x2191: \"up\",\n 0x2193: \"down\",\n}\n\nconst asciiBorder: BorderCharacters = {\n topLeft: \"+\",\n topRight: \"+\",\n bottomLeft: \"+\",\n bottomRight: \"+\",\n horizontal: \"-\",\n vertical: \"|\",\n topT: \"+\",\n bottomT: \"+\",\n leftT: \"+\",\n rightT: \"+\",\n cross: \"+\",\n}\n\nconst hooked = new WeakSet<Renderable>()\n\nexport const monoMarkdownTableOptions = {\n style: \"columns\" as const,\n widthMode: \"content\" as const,\n borders: false,\n}\n\nexport function monoMarkdownRenderable(renderable: MarkdownRenderable): void {\n monoRenderable(renderable)\n}\n\nfunction monoRenderable(renderable: Renderable): void {\n if (hooked.has(renderable)) return\n hooked.add(renderable)\n // Markdown reconciles nested lists and tables without calling renderNode.\n // Hook the actual tree so future descendants are transformed before layout.\n const add = renderable.add.bind(renderable)\n renderable.add = (child, index) => {\n if (child instanceof Renderable) monoRenderable(child)\n return add(child, index)\n }\n\n if (renderable instanceof BoxRenderable) renderable.customBorderChars = asciiBorder\n if (renderable instanceof CodeRenderable) monoCode(renderable)\n if (renderable instanceof TextRenderable) renderable.content = monoStyledText(renderable.content)\n if (renderable instanceof TextTableRenderable) monoTable(renderable)\n renderable.getChildren().forEach(monoRenderable)\n}\n\nfunction monoCode(renderable: CodeRenderable): void {\n const onChunks = renderable.onChunks\n renderable.onChunks = async (chunks, context) => monoChunks((await onChunks?.(chunks, context)) ?? chunks)\n renderable.treeSitterClient = monoTreeSitter(renderable.treeSitterClient)\n\n const initialDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"initialStyledText\")\n const contentDescriptor = Object.getOwnPropertyDescriptor(CodeRenderable.prototype, \"content\")\n if (!initialDescriptor?.set || !contentDescriptor?.get || !contentDescriptor.set) return\n const initialSetter = initialDescriptor.set.bind(renderable)\n const contentGetter = contentDescriptor.get.bind(renderable)\n const contentSetter = contentDescriptor.set.bind(renderable)\n const initial = Reflect.get(renderable, \"_initialStyledText\")\n Object.defineProperty(renderable, \"initialStyledText\", {\n configurable: true,\n set(value: StyledText | undefined) {\n initialSetter(value ? monoStyledText(value) : value)\n },\n })\n Object.defineProperty(renderable, \"content\", {\n configurable: true,\n get: contentGetter,\n set(value: string) {\n if (renderable.filetype !== \"markdown\" || !isStyledText(Reflect.get(renderable, \"_initialStyledText\"))) {\n renderable.drawUnstyledText = true\n renderable.initialStyledText = stringToStyledText(value)\n }\n contentSetter(renderable.filetype === \"markdown\" ? value : monoText(value))\n },\n })\n\n if (isStyledText(initial)) {\n renderable.initialStyledText = initial\n } else {\n renderable.drawUnstyledText = true\n renderable.initialStyledText = stringToStyledText(renderable.content)\n }\n if (!renderable.drawUnstyledText) return\n\n // Refresh the eager buffer with the transformed initial text. Highlighted\n // chunks continue through onChunks without changing the Markdown source.\n const content = renderable.content\n renderable.content = \"\"\n renderable.content = content\n}\n\nfunction monoTreeSitter(client: TreeSitterClient): TreeSitterClient {\n return new Proxy(client, {\n get(target, property) {\n if (property !== \"highlightOnce\") return Reflect.get(target, property, target)\n // Keep parser failures on the chunk path instead of OpenTUI's raw-text fallback.\n return (...args: Parameters<TreeSitterClient[\"highlightOnce\"]>) =>\n target.highlightOnce(...args).catch(() => ({ highlights: [] }))\n },\n })\n}\n\nfunction monoTable(renderable: TextTableRenderable): void {\n const descriptor = Object.getOwnPropertyDescriptor(TextTableRenderable.prototype, \"content\")\n if (!descriptor?.get || !descriptor.set) return\n const cells = new WeakMap<StyledText[\"chunks\"], StyledText[\"chunks\"]>()\n const content = renderable.content\n Object.defineProperty(renderable, \"content\", {\n configurable: true,\n get: () => descriptor.get!.call(renderable),\n set: (value: TextTableRenderable[\"content\"]) => {\n descriptor.set!.call(\n renderable,\n value.map((row) =>\n row.map((cell) => {\n if (!cell) return cell\n const cached = cells.get(cell)\n if (cached) return cached\n const next = monoChunks(cell)\n cells.set(cell, next)\n return next\n }),\n ),\n )\n },\n })\n renderable.content = content\n}\n\nfunction monoStyledText(value: StyledText): StyledText {\n return new StyledText(monoChunks(value.chunks))\n}\n\nfunction monoChunks(value: StyledText[\"chunks\"]): StyledText[\"chunks\"] {\n return value.map((chunk) => ({ ...chunk, text: monoText(chunk.text) }))\n}\n\nfunction monoText(value: string): string {\n return value.replace(/[^\\t\\n\\x20-\\x7e]/gu, (char) => markdown[char.codePointAt(0)!] ?? \"?\")\n}\n\nexport function monoSnapshot(event: CliRendererExternalOutputEvent): void {\n const buffers = event.snapshot.buffers\n const chars = buffers.char\n for (let index = 0; index < chars.length; index += 1) {\n const point = chars[index]\n if (point <= 0x7f) continue\n const offset = index * 4\n event.snapshot.setCell(\n index % event.snapshot.width,\n Math.floor(index / event.snapshot.width),\n monoCell(point),\n RGBA.fromArray(buffers.fg.subarray(offset, offset + 4)),\n RGBA.fromArray(buffers.bg.subarray(offset, offset + 4)),\n buffers.attributes[index],\n )\n }\n}\n\nfunction monoCell(point: number): string {\n const kind = point >>> 30\n if (kind === 2) return \"?\"\n if (kind === 3) return \" \"\n if (point === 0x2500) return \"-\"\n if (point === 0x2502) return \"|\"\n return markdown[point]?.[0] ?? \"?\"\n}\n\nexport function monoPrefix(value: string, mono: boolean): string {\n if (!mono) return value\n const point = value.codePointAt(0)\n if (point === undefined) return value\n const prefix = prefixes[point]\n if (!prefix) return value\n return prefix + value.slice(point > 0xffff ? 2 : 1)\n}\n\nexport function monoToolText(value: string, mono: boolean): string {\n const result = monoPrefix(value, mono)\n if (!mono) return result\n const separator = ` ${String.fromCodePoint(0xb7)} `\n const index = result.lastIndexOf(separator)\n if (index === -1) return result\n const head = result.slice(0, index)\n if (!head.includes(\" completed\") && head !== \"patch\" && !/^\\d+ questions$/.test(head)) return result\n return result.slice(0, index) + \" - \" + result.slice(index + separator.length)\n}\n\nexport function monoShortcut(value: string, mono: boolean): string {\n if (!mono) return value\n return value\n .replaceAll(String.fromCodePoint(0x2192), \"right\")\n .replaceAll(String.fromCodePoint(0x2190), \"left\")\n .replaceAll(String.fromCodePoint(0x2191), \"up\")\n .replaceAll(String.fromCodePoint(0x2193), \"down\")\n}\n\nexport function monoTruncate(value: string, width: number, mono: boolean): string {\n if (!mono || value.length <= width) return value\n if (width <= 3) return \".\".repeat(Math.max(0, width))\n return value.slice(0, width - 3) + \"...\"\n}\n\nexport function monoTruncateMiddle(value: string, width: number, mono: boolean): string {\n if (!mono || value.length <= width) return value\n if (width <= 3) return \".\".repeat(Math.max(0, width))\n const available = width - 3\n const left = Math.ceil(available / 2)\n return value.slice(0, left) + \"...\" + value.slice(value.length - (available - left))\n}\n" | ||
| ], | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/openai-compatible-chat.ts"], | ||
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| "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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| { | ||
| "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": ["../tui/src/prompt/content.ts"], | ||
| "sourcesContent": [ | ||
| "export function normalizePromptContent(content: string) {\n if (content.endsWith(\"\\r\\n\")) {\n const body = content.slice(0, -2)\n return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n }\n\n if (content.endsWith(\"\\n\")) {\n const body = content.slice(0, -1)\n return !body.includes(\"\\n\") && !body.includes(\"\\r\") ? body : content\n }\n\n return content\n}\n" | ||
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| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/mcp.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Mcp from \"./mcp.js\"\n\nimport { Schema } from \"effect\"\nimport { optional, PositiveInt } from \"./schema.js\"\nimport { IntegrationID } from \"./integration-id.js\"\n\nexport class TimeoutConfig extends Schema.Class<TimeoutConfig>(\"Mcp.TimeoutConfig\")({\n startup: PositiveInt.pipe(optional).annotate({\n description: \"Maximum time in milliseconds to establish and initialize the MCP server.\",\n }),\n catalog: PositiveInt.pipe(optional).annotate({\n description: \"Maximum time in milliseconds to wait for MCP discovery requests such as tools/list and prompts/list.\",\n }),\n execution: PositiveInt.pipe(optional).annotate({\n description: \"Maximum time in milliseconds to wait for MCP tool and prompt execution.\",\n }),\n}) {}\n\nexport class LocalConfig extends Schema.Class<LocalConfig>(\"Mcp.LocalConfig\")({\n type: Schema.Literal(\"local\"),\n command: Schema.String.pipe(Schema.Array),\n cwd: Schema.String.pipe(optional).annotate({\n description: \"Working directory for the MCP server process. Relative paths resolve from the workspace directory.\",\n }),\n environment: Schema.Record(Schema.String, Schema.String).pipe(optional),\n disabled: Schema.Boolean.pipe(optional),\n codemode: Schema.Boolean.pipe(optional).annotate({\n description: \"Expose this server's tools through Code Mode. Defaults to true.\",\n }),\n timeout: TimeoutConfig.pipe(optional),\n}) {}\n\nexport class OAuthConfig extends Schema.Class<OAuthConfig>(\"Mcp.OAuthConfig\")({\n client_id: Schema.String.pipe(optional),\n client_secret: Schema.String.pipe(optional),\n scope: Schema.String.pipe(optional),\n callback_port: Schema.Int.check(Schema.isBetween({ minimum: 1, maximum: 65535 })).pipe(optional),\n redirect_uri: Schema.String.pipe(optional),\n}) {}\n\nexport class RemoteConfig extends Schema.Class<RemoteConfig>(\"Mcp.RemoteConfig\")({\n type: Schema.Literal(\"remote\"),\n url: Schema.String,\n headers: Schema.Record(Schema.String, Schema.String).pipe(optional),\n oauth: Schema.Union([OAuthConfig, Schema.Literal(false)]).pipe(optional),\n disabled: Schema.Boolean.pipe(optional),\n codemode: Schema.Boolean.pipe(optional).annotate({\n description: \"Expose this server's tools through Code Mode. Defaults to true.\",\n }),\n timeout: TimeoutConfig.pipe(optional),\n}) {}\n\nexport const ServerConfig = Schema.Union([LocalConfig, RemoteConfig]).pipe(Schema.toTaggedUnion(\"type\"))\nexport type ServerConfig = typeof ServerConfig.Type\n\nconst Connected = Schema.Struct({ status: Schema.Literal(\"connected\") }).annotate({\n identifier: \"Mcp.Status.Connected\",\n})\nconst Pending = Schema.Struct({ status: Schema.Literal(\"pending\") }).annotate({\n identifier: \"Mcp.Status.Pending\",\n})\nconst Disabled = Schema.Struct({ status: Schema.Literal(\"disabled\") }).annotate({\n identifier: \"Mcp.Status.Disabled\",\n})\nconst Failed = Schema.Struct({ status: Schema.Literal(\"failed\"), error: Schema.String }).annotate({\n identifier: \"Mcp.Status.Failed\",\n})\nconst NeedsAuth = Schema.Struct({ status: Schema.Literal(\"needs_auth\") }).annotate({\n identifier: \"Mcp.Status.NeedsAuth\",\n})\n\nexport type Status = typeof Status.Type\nexport const Status = Schema.Union([Connected, Pending, Disabled, Failed, NeedsAuth]).pipe(\n Schema.toTaggedUnion(\"status\"),\n)\n\nexport interface Server extends Schema.Schema.Type<typeof Server> {}\nexport const Server = Schema.Struct({\n name: Schema.String,\n status: Status,\n // Set for remote servers registered as OAuth integrations; lets clients act on the right integration\n // without matching by name, which could collide with provider or plugin integrations.\n integrationID: optional(IntegrationID),\n}).annotate({ identifier: \"Mcp.Server\" })\n\nexport interface Resource extends Schema.Schema.Type<typeof Resource> {}\nexport const Resource = Schema.Struct({\n server: Schema.String,\n name: Schema.String,\n uri: Schema.String,\n description: optional(Schema.String),\n mimeType: optional(Schema.String),\n}).annotate({ identifier: \"Mcp.Resource\" })\n\nexport interface ResourceTemplate extends Schema.Schema.Type<typeof ResourceTemplate> {}\nexport const ResourceTemplate = Schema.Struct({\n server: Schema.String,\n name: Schema.String,\n uriTemplate: Schema.String,\n description: optional(Schema.String),\n mimeType: optional(Schema.String),\n}).annotate({ identifier: \"Mcp.ResourceTemplate\" })\n\nexport interface ResourceCatalog extends Schema.Schema.Type<typeof ResourceCatalog> {}\nexport const ResourceCatalog = Schema.Struct({\n resources: Schema.Array(Resource),\n templates: Schema.Array(ResourceTemplate),\n}).annotate({ identifier: \"Mcp.ResourceCatalog\" })\n\nexport const ResourceContentPart = Schema.Union([\n Schema.Struct({\n type: Schema.Literal(\"text\"),\n uri: Schema.String,\n text: Schema.String,\n mimeType: optional(Schema.String),\n }),\n Schema.Struct({\n type: Schema.Literal(\"blob\"),\n uri: Schema.String,\n blob: Schema.String,\n mimeType: optional(Schema.String),\n }),\n]).pipe(Schema.toTaggedUnion(\"type\"), Schema.annotate({ identifier: \"Mcp.ResourceContentPart\" }))\nexport type ResourceContentPart = typeof ResourceContentPart.Type\n\nexport interface ResourceContent extends Schema.Schema.Type<typeof ResourceContent> {}\nexport const ResourceContent = Schema.Struct({\n server: Schema.String,\n uri: Schema.String,\n contents: Schema.Array(ResourceContentPart),\n}).annotate({ identifier: \"Mcp.ResourceContent\" })\n" | ||
| ], | ||
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| "debugId": "8F4E2F1F87951EFF64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/util/io.ts", "src/session-target.ts"], | ||
| "sourcesContent": [ | ||
| "import { text } from \"node:stream/consumers\"\n\nexport function readStdin() {\n return text(process.stdin)\n}\n", | ||
| "import type { LocationGetOutput, ModelRef, OpenCodeClient, SessionInfo } from \"@opencode-ai/client/promise\"\nimport { Model } from \"@opencode-ai/schema/model\"\n\nconst SESSION_PAGE_LIMIT = 50\n\nexport type SessionTarget = {\n session: SessionInfo\n location: LocationGetOutput\n model: ModelRef | undefined\n agent: string | undefined\n resume: boolean\n}\n\nexport type SessionTargetPreparation = (input: {\n client: OpenCodeClient\n location: LocationGetOutput\n session: SessionInfo | undefined\n model: ModelRef | undefined\n agent: string | undefined\n signal?: AbortSignal\n}) => Promise<{ model: ModelRef | undefined; agent: string | undefined }>\n\nexport class SessionTargetMutationError extends Error {\n override readonly name = \"SessionTargetMutationError\"\n\n constructor(cause: unknown) {\n super(cause instanceof Error ? cause.message : \"Session target mutation failed\", { cause })\n }\n}\n\nexport async function resolveSessionTarget(input: {\n client: OpenCodeClient\n location?: { directory?: string; workspace?: string }\n continue?: boolean\n session?: string\n fork?: boolean\n model?: ModelRef\n agent?: string\n environment?: Readonly<Record<string, string>>\n prepare: SessionTargetPreparation\n signal?: AbortSignal\n}): Promise<SessionTarget> {\n const selection = await selectSession(input)\n const selected = selection.session\n const location =\n selection.location ??\n (await resolveLocation(\n input.client,\n selected ? { directory: selected.location.directory, workspace: selected.location.workspaceID } : input.location,\n input.signal,\n ))\n const prepared = await input.prepare({\n client: input.client,\n location,\n session: selected,\n model: input.model ?? selected?.model,\n agent: input.agent ?? selected?.agent,\n signal: input.signal,\n })\n const session =\n selected ??\n (await input.client.session\n .create(\n {\n agent: prepared.agent,\n model: prepared.model,\n location: { directory: location.directory, workspaceID: location.workspaceID },\n },\n ...requestOptions(input.signal),\n )\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n }))\n if (input.environment !== undefined && location.workspaceID === undefined)\n await input.client.session\n .environment({ sessionID: session.id, variables: input.environment }, ...requestOptions(input.signal))\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n })\n return {\n session,\n location,\n model: prepared.model,\n agent: prepared.agent ?? session.agent,\n resume: selected !== undefined,\n }\n}\n\nexport function parseSessionTargetModel(value?: string): ModelRef | undefined {\n if (!value) return\n const model = Model.Ref.parse(value)\n return { providerID: model.providerID, id: model.id, variant: model.variant }\n}\n\nasync function selectSession(input: {\n client: OpenCodeClient\n location?: { directory?: string; workspace?: string }\n continue?: boolean\n session?: string\n fork?: boolean\n signal?: AbortSignal\n}) {\n const explicit = input.session\n ? await input.client.session.get({ sessionID: input.session }, ...requestOptions(input.signal)).catch((error) => {\n if (error && typeof error === \"object\" && Reflect.get(error, \"_tag\") === \"SessionNotFoundError\")\n return undefined\n throw error\n })\n : undefined\n if (input.session && !explicit) throw new Error(\"Session not found\")\n if (explicit)\n return {\n session: input.fork\n ? await input.client.session\n .fork({ sessionID: explicit.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n })\n : explicit,\n }\n if (!input.continue) return { session: undefined }\n\n const location = await resolveLocation(input.client, input.location, input.signal)\n const selected = await latestSession(input.client, location, undefined, input.signal)\n if (!selected) return { session: undefined, location }\n return {\n session: input.fork\n ? await input.client.session\n .fork({ sessionID: selected.id, boundary: { type: \"through\" } }, ...requestOptions(input.signal))\n .catch((error) => {\n throw new SessionTargetMutationError(error)\n })\n : selected,\n }\n}\n\nasync function latestSession(\n client: OpenCodeClient,\n location: LocationGetOutput,\n cursor?: string,\n signal?: AbortSignal,\n): Promise<SessionInfo | undefined> {\n const page = await client.session.list(\n {\n directory: location.directory,\n workspace: location.workspaceID,\n parentID: null,\n limit: SESSION_PAGE_LIMIT,\n order: \"desc\",\n ...(cursor ? { cursor } : {}),\n },\n ...requestOptions(signal),\n )\n const selected = page.data.find(\n (session) =>\n session.location.directory === location.directory && session.location.workspaceID === location.workspaceID,\n )\n if (selected) return selected\n if (!page.cursor.next || page.data.length === 0) return\n return latestSession(client, location, page.cursor.next, signal)\n}\n\nfunction resolveLocation(\n client: OpenCodeClient,\n location?: { directory?: string; workspace?: string },\n signal?: AbortSignal,\n) {\n if (!location && !signal) return client.location.get()\n if (!location) return client.location.get(undefined, { signal })\n return client.location.get({ location }, ...requestOptions(signal))\n}\n\nfunction requestOptions(signal?: AbortSignal): [] | [{ signal: AbortSignal }] {\n return signal ? [{ signal }] : []\n}\n" | ||
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| "debugId": "359E7E7C8CAF04AC64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/workspace-event.ts"], | ||
| "sourcesContent": [ | ||
| "export * as WorkspaceEvent from \"./workspace-event.js\"\n\nimport { Schema } from \"effect\"\nimport { Event } from \"./event.js\"\nimport { WorkspaceID } from \"./workspace-id.js\"\n\nexport const ConnectionStatus = Schema.Struct({\n workspaceID: WorkspaceID,\n status: Schema.Literals([\"connected\", \"connecting\", \"disconnected\", \"error\"]),\n}).annotate({ identifier: \"WorkspaceEvent.ConnectionStatus\" })\nexport interface ConnectionStatus extends Schema.Schema.Type<typeof ConnectionStatus> {}\n\nexport const Ready = Event.ephemeral({\n type: \"workspace.ready\",\n schema: {\n name: Schema.String,\n },\n})\n\nexport const Failed = Event.ephemeral({\n type: \"workspace.failed\",\n schema: {\n message: Schema.String,\n },\n})\n\nexport const Status = Event.ephemeral({\n type: \"workspace.status\",\n schema: ConnectionStatus.fields,\n})\n\nexport const Definitions = Event.inventory(Ready, Failed, Status)\n" | ||
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| "debugId": "AF0276C3B3406E2464756E2164756E21", | ||
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| } |
| { | ||
| "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": "BEEBD026EA9D7BBA64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/tool.ts"], | ||
| "sourcesContent": [ | ||
| "// Per-tool display rules shared across `opencode run` output paths.\n//\n// Each known tool (shell, edit, write, subagent, etc.) has a ToolRule that controls\n// four display hooks:\n//\n// view → visibility policy for progress/final scrollback entries and\n// whether completed finals can render as structured snapshots\n// run → inline summary for the non-interactive `run` command output\n// scroll → text formatting for start/progress/final scrollback entries\n// snap → structured snapshot (code block, diff, task card) for rich\n// scrollback entries\n//\n// Tools not in TOOL_RULES get fallback formatting.\nimport os from \"os\"\nimport path from \"path\"\nimport stripAnsi from \"strip-ansi\"\nimport type { SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { LANGUAGE_EXTENSIONS } from \"../util/filetype\"\nimport { Locale } from \"../util/locale\"\nimport {\n canonicalToolName,\n finiteNumber,\n primitiveInputSummary,\n toolDisplayContent,\n toolDisplayMetadata,\n webSearchProviderLabel,\n} from \"../util/tool-display\"\nimport { formatPath } from \"../util/path-format\"\nimport type { RunEntryBody, StreamCommit, ToolSnapshot } from \"./types\"\n\nexport { canonicalToolName } from \"../util/tool-display\"\n\ntype ToolView = {\n output: boolean\n final: boolean\n snap?: \"code\" | \"diff\" | \"structured\"\n}\n\ntype ToolPhase = \"start\" | \"progress\" | \"final\"\n\ntype ToolDict = Record<string, unknown>\n\ntype PatchFile = {\n status?: string\n file?: string\n from?: string\n patch?: string\n deletions?: number\n}\n\ntype ToolInput = ToolDict & {\n id?: string\n path?: string\n pattern?: string\n url?: string\n query?: string\n agent?: string\n description?: string\n name?: string\n operation?: string\n line?: number\n character?: number\n content?: string\n command?: string\n workdir?: string\n questions?: Array<{ question?: string }>\n diff?: string\n}\n\ntype ToolMetadata = ToolDict & {\n name?: string\n count?: number\n matches?: number\n diff?: string\n provider?: unknown\n files?: PatchFile[]\n answers?: string[][]\n exit?: number\n}\n\ntype ToolFrame = {\n directory?: string\n raw: string\n name: string\n input: ToolDict\n meta: ToolDict\n state: ToolDict\n status: string\n error: string\n output: string\n time: {\n start?: number\n end?: number\n }\n}\n\ntype ToolInline = {\n icon: string\n title: string\n description?: string\n mode?: \"inline\" | \"block\"\n body?: string\n}\n\ntype ToolProps = {\n input: ToolInput\n metadata: ToolMetadata\n frame: ToolFrame\n}\n\ntype ToolName =\n | \"invalid\"\n | \"shell\"\n | \"write\"\n | \"edit\"\n | \"patch\"\n | \"batch\"\n | \"subagent\"\n | \"question\"\n | \"read\"\n | \"glob\"\n | \"grep\"\n | \"list\"\n | \"lsp\"\n | \"webfetch\"\n | \"websearch\"\n | \"skill\"\n\ntype ToolRule = {\n view: ToolView\n run: (props: ToolProps) => ToolInline\n scroll?: Partial<Record<ToolPhase, (props: ToolProps) => string>>\n snap?: (props: ToolProps) => ToolSnapshot | undefined\n}\n\ntype ToolRegistry = Record<ToolName, ToolRule>\n\ntype AnyToolRule = ToolRule\n\nfunction dict(v: unknown): ToolDict {\n if (!v || typeof v !== \"object\" || Array.isArray(v)) {\n return {}\n }\n\n return { ...v }\n}\n\nfunction props(frame: ToolFrame): ToolProps {\n return {\n input: frame.input,\n metadata: frame.meta,\n frame,\n }\n}\n\nfunction text(v: unknown): string {\n return typeof v === \"string\" ? v : \"\"\n}\n\nexport function toolOutputText(name: string, content: ReadonlyArray<{ type: string; text?: string }> | undefined) {\n if (!content) return \"\"\n // V2 shell content appends model-only status after the user-visible command output.\n if (canonicalToolName(name) === \"shell\") return content.find((item) => item.type === \"text\")?.text ?? \"\"\n const joined = content.flatMap((item) => (item.type === \"text\" && item.text ? [item.text] : [])).join(\"\\n\")\n if (canonicalToolName(name) === \"read\") return readDisplayText(joined) ?? joined\n return joined\n}\n\n/** Read's model content is a JSON page envelope; unwrap the human-facing text. */\nexport function readDisplayText(text: string): string | undefined {\n if (!text.startsWith(\"{\")) return undefined\n const parsed = (() => {\n try {\n return JSON.parse(text) as unknown\n } catch {\n return undefined\n }\n })()\n const envelope = dict(parsed)\n if (typeof envelope.content === \"string\" && (envelope.type === \"text-page\" || envelope.encoding === \"utf8\"))\n return envelope.content\n if (!Array.isArray(envelope.entries)) return undefined\n return envelope.entries\n .flatMap((entry): string[] => {\n if (typeof entry === \"string\") return [entry]\n const path = dict(entry).path\n return typeof path === \"string\" ? [path] : []\n })\n .join(\"\\n\")\n}\n\nfunction normalizeInput(name: string, value: unknown) {\n const input = dict(value)\n const path = typeof input.path === \"string\" ? input.path : text(input.filePath)\n const agent = typeof input.agent === \"string\" ? input.agent : text(input.subagent_type)\n return {\n ...input,\n ...([\"read\", \"write\", \"edit\", \"lsp\"].includes(name) && path ? { path } : {}),\n ...(name === \"subagent\" && agent ? { agent } : {}),\n }\n}\n\nfunction normalizeFile(value: unknown): PatchFile | undefined {\n const file = dict(value)\n const name = text(file.file) || text(file.relativePath) || text(file.filePath)\n if (!name) return\n const legacy = text(file.type)\n const status =\n text(file.status) ||\n (legacy === \"add\"\n ? \"added\"\n : legacy === \"delete\"\n ? \"deleted\"\n : legacy === \"update\"\n ? \"modified\"\n : legacy === \"move\"\n ? \"moved\"\n : legacy)\n const patch = typeof file.patch === \"string\" ? file.patch : undefined\n const deletions = finiteNumber(file.deletions)\n return {\n ...file,\n file: name,\n ...(status === \"moved\" && text(file.filePath) ? { from: text(file.filePath) } : {}),\n ...(status ? { status } : {}),\n ...(patch === undefined ? {} : { patch }),\n ...(deletions === undefined ? {} : { deletions }),\n }\n}\n\nfunction normalizeMetadata(name: string, value: unknown) {\n const metadata = dict(value)\n const files = list(metadata.files).flatMap((item) => {\n const file = normalizeFile(item)\n return file ? [file] : []\n })\n const sessionID = text(metadata.sessionID) || text(metadata.sessionId)\n return {\n ...metadata,\n ...([\"edit\", \"patch\"].includes(name) && Array.isArray(metadata.files) ? { files } : {}),\n ...(name === \"subagent\" && sessionID ? { sessionID } : {}),\n }\n}\n\nexport function normalizeTool(tool: SessionMessageAssistantTool): SessionMessageAssistantTool {\n const name = canonicalToolName(tool.name)\n if (tool.state.status === \"streaming\") return { ...tool, name }\n return {\n ...tool,\n name,\n state: {\n ...tool.state,\n input: normalizeInput(name, tool.state.input),\n metadata: normalizeMetadata(name, toolDisplayMetadata(tool.state)),\n },\n } as SessionMessageAssistantTool\n}\n\nfunction list<T>(v: unknown): T[] {\n if (!Array.isArray(v)) {\n return []\n }\n\n return v\n}\n\nfunction span(frame: ToolFrame): string {\n const start = frame.time.start\n const end = frame.time.end\n if (start === undefined || end === undefined || end <= start) {\n return \"\"\n }\n\n return Locale.duration(end - start)\n}\n\nfunction fail(ctx: ToolFrame): string {\n const error = toolError(ctx)\n if (error) {\n return `✖ ${ctx.name} failed: ${error}`\n }\n\n return `✖ ${ctx.name} failed`\n}\n\nfunction toolError(ctx: ToolFrame): string {\n if (ctx.error) {\n return ctx.error\n }\n\n const state = text(ctx.state.error).trim()\n if (state) {\n return state\n }\n\n return ctx.raw.trim()\n}\n\nfunction fallbackStart(ctx: ToolFrame): string {\n const extra = primitiveInputSummary(ctx.input)\n if (!extra) {\n return `⚙ ${ctx.name}`\n }\n\n return `⚙ ${ctx.name} ${extra}`\n}\n\nfunction fallbackFinal(ctx: ToolFrame): string {\n if (ctx.status === \"error\") {\n return fail(ctx)\n }\n\n if (ctx.status && ctx.status !== \"completed\") {\n return ctx.raw.trim()\n }\n\n const time = span(ctx)\n if (!time) {\n return `${ctx.name} completed`\n }\n\n return `${ctx.name} completed · ${time}`\n}\n\nexport function toolPath(input?: string, opts: { home?: boolean; directory?: string } = {}): string {\n return formatPath(input, {\n base: opts.directory ?? process.cwd(),\n home: opts.home ? os.homedir() : undefined,\n forwardSlashes: true,\n })\n}\n\nfunction displayPath(p: ToolProps, input?: string, opts: { home?: boolean } = {}) {\n return toolPath(input, { ...opts, directory: p.frame.directory })\n}\n\nfunction fallbackInline(ctx: ToolFrame): ToolInline {\n const title = Object.keys(ctx.input).length > 0 ? JSON.stringify(ctx.input) : \"Unknown\"\n\n return {\n icon: \"⚙\",\n title: `${ctx.name} ${title}`,\n }\n}\n\nfunction count(n: number, label: string): string {\n return `${n} ${label}${n === 1 ? \"\" : \"es\"}`\n}\n\nfunction runGlob(p: ToolProps): ToolInline {\n const root = p.input.path ?? \"\"\n const title = `Glob \"${p.input.pattern ?? \"\"}\"`\n const suffix = root ? `in ${displayPath(p, root)}` : \"\"\n const matches = p.metadata.count\n const description = matches === undefined ? suffix : `${suffix}${suffix ? \" · \" : \"\"}${count(matches, \"match\")}`\n return {\n icon: \"✱\",\n title,\n ...(description && { description }),\n }\n}\n\nfunction runGrep(p: ToolProps): ToolInline {\n const root = p.input.path ?? \"\"\n const title = `Grep \"${p.input.pattern ?? \"\"}\"`\n const suffix = root ? `in ${displayPath(p, root)}` : \"\"\n const matches = p.metadata.matches\n const description = matches === undefined ? suffix : `${suffix}${suffix ? \" · \" : \"\"}${count(matches, \"match\")}`\n return {\n icon: \"✱\",\n title,\n ...(description && { description }),\n }\n}\n\nfunction runList(p: ToolProps): ToolInline {\n const dir = text(dict(p.input).path)\n return {\n icon: \"→\",\n title: dir ? `List ${displayPath(p, dir)}` : \"List\",\n }\n}\n\nfunction runRead(p: ToolProps): ToolInline {\n const file = displayPath(p, p.input.path)\n const description = primitiveInputSummary(p.frame.input, [\"path\"]) || undefined\n return {\n icon: \"→\",\n title: `Read ${file}`,\n ...(description && { description }),\n }\n}\n\nfunction runWrite(p: ToolProps): ToolInline {\n return {\n icon: \"←\",\n title: `Write ${displayPath(p, p.input.path)}`,\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output : undefined,\n }\n}\n\nfunction runWebfetch(p: ToolProps): ToolInline {\n const url = p.input.url ?? \"\"\n return {\n icon: \"%\",\n title: url ? `WebFetch ${url}` : \"WebFetch\",\n }\n}\n\nfunction runEdit(p: ToolProps): ToolInline {\n const file = list<PatchFile>(p.metadata.files)[0]\n return {\n icon: \"←\",\n title: `Edit ${displayPath(p, p.input.path)}`,\n mode: \"block\",\n body: file?.patch ?? p.metadata.diff,\n }\n}\n\nfunction runWebSearch(p: ToolProps): ToolInline {\n const title = webSearchProviderLabel(p.metadata.provider)\n return {\n icon: \"◈\",\n title: p.input.query ? `${title} \"${p.input.query}\"` : title,\n }\n}\n\nfunction runTask(p: ToolProps): ToolInline {\n const kind = Locale.titlecase(p.input.agent || \"unknown\")\n const desc = p.input.description\n const icon = p.frame.status === \"error\" ? \"✗\" : p.frame.status === \"running\" ? \"•\" : \"✓\"\n return {\n icon,\n title: desc || `${kind} Subagent`,\n description: desc ? `${kind} Agent` : undefined,\n }\n}\n\nfunction runSkill(p: ToolProps): ToolInline {\n const name = p.metadata.name ?? p.input.id ?? \"\"\n return {\n icon: \"→\",\n title: `Skill \"${name}\"`,\n }\n}\n\nfunction runPatch(p: ToolProps): ToolInline {\n const files = p.metadata.files?.length ?? 0\n if (files === 0) {\n return {\n icon: \"%\",\n title: \"Patch\",\n }\n }\n\n return {\n icon: \"%\",\n title: `Patch ${files} file${files === 1 ? \"\" : \"s\"}`,\n }\n}\n\nfunction runQuestion(p: ToolProps): ToolInline {\n const total = list(p.frame.input.questions).length\n return {\n icon: \"→\",\n title: `Asked ${total} question${total === 1 ? \"\" : \"s\"}`,\n }\n}\n\nfunction runInvalid(p: ToolProps): ToolInline {\n return {\n icon: \"✗\",\n title: \"Invalid Tool\",\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output : undefined,\n }\n}\n\nfunction runBatch(p: ToolProps): ToolInline {\n const calls = list(dict(p.input).tool_calls).length\n return {\n icon: \"#\",\n title: calls > 0 ? `Batch ${calls} tool${calls === 1 ? \"\" : \"s\"}` : \"Batch\",\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output : undefined,\n }\n}\n\nfunction lspTitle(\n input: {\n operation?: string\n path?: string\n line?: number\n character?: number\n },\n opts: { home?: boolean; directory?: string } = {},\n): string {\n const op = input.operation || \"request\"\n const file = input.path ? toolPath(input.path, opts) : \"\"\n const line = typeof input.line === \"number\" ? input.line : undefined\n const char = typeof input.character === \"number\" ? input.character : undefined\n const pos = line !== undefined && char !== undefined ? `:${line}:${char}` : \"\"\n if (!file) {\n return `LSP ${op}`\n }\n\n return `LSP ${op} ${file}${pos}`\n}\n\nfunction runLsp(p: ToolProps): ToolInline {\n return {\n icon: \"→\",\n title: lspTitle(p.input, { directory: p.frame.directory }),\n }\n}\n\nfunction patchTitle(file: PatchFile, directory?: string): string {\n if (file.status === \"added\") {\n return `# Created ${toolPath(file.file, { directory })}`\n }\n if (file.status === \"deleted\") {\n return `# Deleted ${toolPath(file.file, { directory })}`\n }\n if (file.status === \"moved\") {\n return `# Moved ${toolPath(file.from, { directory })} -> ${toolPath(file.file, { directory })}`\n }\n\n return `# Patched ${toolPath(file.file, { directory })}`\n}\n\nfunction snapWrite(p: ToolProps): ToolSnapshot | undefined {\n const file = p.input.path || \"\"\n const content = p.input.content || \"\"\n if (!file && !content) {\n return undefined\n }\n\n return {\n kind: \"code\",\n title: `# Wrote ${displayPath(p, file)}`,\n content,\n file,\n }\n}\n\nfunction snapEdit(p: ToolProps): ToolSnapshot | undefined {\n const item = list<PatchFile>(p.metadata.files)[0]\n const file = item?.file || p.input.path || \"\"\n const diff = item?.patch || p.metadata.diff || \"\"\n if (!file || !diff.trim()) {\n return undefined\n }\n\n return {\n kind: \"diff\",\n items: [\n {\n title: `# Edited ${displayPath(p, file)}`,\n diff,\n file,\n },\n ],\n }\n}\n\nfunction snapPatch(p: ToolProps): ToolSnapshot | undefined {\n const files = list<PatchFile>(p.frame.meta.files)\n if (files.length === 0) {\n return undefined\n }\n\n const items = files.flatMap((file) => {\n if (!file || typeof file !== \"object\") {\n return []\n }\n\n const diff = typeof file.patch === \"string\" ? file.patch : \"\"\n if (!diff.trim()) {\n return []\n }\n\n const name = file.file\n return [\n {\n title: patchTitle(file, p.frame.directory),\n diff,\n file: name,\n deletions: typeof file.deletions === \"number\" ? file.deletions : 0,\n },\n ]\n })\n\n if (items.length !== files.length) {\n return undefined\n }\n\n return {\n kind: \"diff\",\n items,\n }\n}\n\nfunction snapTask(p: ToolProps): ToolSnapshot {\n const kind = Locale.titlecase(p.input.agent || \"general\")\n const desc = p.input.description\n const rows = [desc].filter((item): item is string => Boolean(item))\n\n return {\n kind: \"task\",\n title: `# ${kind} Subagent`,\n rows,\n tail: \"\",\n }\n}\n\nfunction snapQuestion(p: ToolProps): ToolSnapshot {\n const answers = list<unknown[]>(p.frame.meta.answers)\n const items = list<{ question?: string }>(p.frame.input.questions).map((item, i) => {\n const answer = list<string>(answers[i]).filter((entry) => typeof entry === \"string\")\n return {\n question: item.question || `Question ${i + 1}`,\n answer: answer.length > 0 ? answer.join(\", \") : \"(no answer)\",\n }\n })\n\n return {\n kind: \"question\",\n items,\n tail: \"\",\n }\n}\n\nfunction scrollBashStart(p: ToolProps): string {\n const cmd = p.input.command ?? \"\"\n const wd = p.input.workdir ?? \"\"\n const formatted = wd && wd !== \".\" ? displayPath(p, wd, { home: true }) : \"\"\n const dir = formatted === \".\" ? \"\" : formatted\n if (cmd && !dir) {\n return `$ ${cmd}`\n }\n\n if (!cmd) {\n return dir ? `${dir}$` : \"\"\n }\n\n return `${dir}$ ${cmd}`\n}\n\nfunction scrollBashProgress(p: ToolProps): string {\n const out = stripAnsi(p.frame.raw)\n const cmd = (p.input.command ?? \"\").trim()\n const fmt = (text: string) => {\n const body = text.replace(/^\\n+/, \"\").replace(/\\n+$/, \"\")\n return body ? `\\n${body}` : \"\"\n }\n\n if (!cmd) {\n return out.replace(/\\n+$/, \"\")\n }\n\n const wdRaw = (p.input.workdir ?? \"\").trim()\n const wd = wdRaw ? displayPath(p, wdRaw, { home: true }) : \"\"\n const lines = out.split(\"\\n\")\n const first = (lines[0] || \"\").trim()\n const second = (lines[1] || \"\").trim()\n\n if (wd && (first === wd || first === wdRaw) && second === cmd) {\n return fmt(lines.slice(2).join(\"\\n\"))\n }\n\n if (first === cmd || first === `$ ${cmd}`) {\n return fmt(lines.slice(1).join(\"\\n\"))\n }\n\n if (wd && (first === `${wd} ${cmd}` || first === `${wdRaw} ${cmd}`)) {\n return fmt(lines.slice(1).join(\"\\n\"))\n }\n\n return fmt(out)\n}\n\nfunction scrollShellFinal(p: ToolProps): string {\n if (p.frame.status === \"error\") {\n return fail(p.frame)\n }\n\n const code = p.metadata.exit\n const time = span(p.frame)\n if (code === undefined) {\n if (!time) {\n return \"shell completed\"\n }\n\n return `shell completed · ${time}`\n }\n\n return `shell completed (exit ${code})${time ? ` · ${time}` : \"\"}`\n}\n\nfunction scrollReadStart(p: ToolProps): string {\n const file = displayPath(p, p.input.path)\n const extra = primitiveInputSummary(p.frame.input, [\"path\"])\n const tail = extra ? ` ${extra}` : \"\"\n return `→ Read ${file}${tail}`.trim()\n}\n\nfunction scrollWriteStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction scrollEditStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction scrollPatchStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction patchLine(file: PatchFile, directory?: string): string {\n if (file.status === \"added\") {\n return `+ Created ${toolPath(file.file, { directory })}`\n }\n\n if (file.status === \"deleted\") {\n return `- Deleted ${toolPath(file.file, { directory })}`\n }\n if (file.status === \"moved\") {\n return `→ Moved ${toolPath(file.from, { directory })} → ${toolPath(file.file, { directory })}`\n }\n\n return `~ Patched ${toolPath(file.file, { directory })}`\n}\n\nfunction scrollPatchFinal(p: ToolProps): string {\n if (p.frame.status === \"error\") {\n return fail(p.frame)\n }\n\n const files = list<PatchFile>(p.frame.meta.files)\n if (files.length === 0) {\n const time = span(p.frame)\n if (!time) {\n return \"patch\"\n }\n\n return `patch · ${time}`\n }\n\n const showModified = !files.some((file) => file?.status && file.status !== \"modified\")\n const shown = files.filter((file) => showModified || file.status !== \"modified\")\n const rows = shown.slice(0, 6).map((file) => patchLine(file, p.frame.directory))\n if (shown.length > 6) {\n rows.push(`... and ${shown.length - 6} more`)\n }\n\n if (rows.length > 0) {\n return rows.join(\"\\n\")\n }\n\n return patchLine(files[0]!, p.frame.directory)\n}\n\nfunction scrollTaskStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction taskResult(output: string): string | undefined {\n if (!output.trim()) {\n return undefined\n }\n\n const match = output.match(/<task_result>\\s*([\\s\\S]*?)\\s*<\\/task_result>/)\n if (match) {\n return match[1].trim() || undefined\n }\n\n const next = output\n .split(\"\\n\")\n .filter((line) => !line.startsWith(\"task_id:\"))\n .join(\"\\n\")\n .trim()\n return next || undefined\n}\n\nfunction scrollTaskFinal(p: ToolProps): string {\n if (p.frame.status === \"error\") {\n return fail(p.frame)\n }\n\n const kind = Locale.titlecase(p.input.agent || \"general\")\n const row = p.input.description\n if (!row) {\n return `# ${kind} Subagent`\n }\n\n return `# ${kind} Subagent\\n${row}`\n}\n\nfunction scrollQuestionStart(_: ToolProps): string {\n return \"\"\n}\n\nfunction scrollQuestionFinal(p: ToolProps): string {\n const q = p.input.questions ?? []\n const a = p.metadata.answers ?? []\n const time = span(p.frame)\n if (q.length === 0) {\n if (!time) {\n return \"0 questions\"\n }\n\n return `0 questions · ${time}`\n }\n\n const rows: string[] = []\n for (const [i, item] of q.slice(0, 4).entries()) {\n const prompt = item.question\n const reply = a[i] ?? []\n rows.push(`? ${prompt || `Question ${i + 1}`}`)\n rows.push(` ${reply.length > 0 ? reply.join(\", \") : \"(no answer)\"}`)\n }\n\n if (q.length > 4) {\n rows.push(`... and ${q.length - 4} more`)\n }\n\n return rows.join(\"\\n\")\n}\n\nfunction scrollLspStart(p: ToolProps): string {\n return `→ ${lspTitle(p.input, { directory: p.frame.directory })}`\n}\n\nfunction scrollSkillStart(p: ToolProps): string {\n return `→ Skill \"${p.metadata.name ?? p.input.id ?? \"\"}\"`\n}\n\nfunction scrollGlobStart(p: ToolProps): string {\n const pattern = p.input.pattern ?? \"\"\n const head = pattern ? `✱ Glob \"${pattern}\"` : \"✱ Glob\"\n const dir = p.input.path ?? \"\"\n if (!dir) {\n return head\n }\n\n return `${head} in ${displayPath(p, dir)}`\n}\n\nfunction scrollGlobFinal(p: ToolProps): string {\n return toolError(p.frame) || fail(p.frame)\n}\n\nfunction scrollGrepStart(p: ToolProps): string {\n const pattern = p.input.pattern ?? \"\"\n const head = pattern ? `✱ Grep \"${pattern}\"` : \"✱ Grep\"\n const dir = p.input.path ?? \"\"\n if (!dir) {\n return head\n }\n\n return `${head} in ${displayPath(p, dir)}`\n}\n\nfunction scrollListStart(p: ToolProps): string {\n const dir = text(dict(p.input).path)\n if (!dir) {\n return \"→ List\"\n }\n\n return `→ List ${displayPath(p, dir)}`\n}\n\nfunction scrollWebfetchStart(p: ToolProps): string {\n const url = p.input.url ?? \"\"\n if (!url) {\n return \"% WebFetch\"\n }\n\n return `% WebFetch ${url}`\n}\n\nfunction scrollWebSearchStart(p: ToolProps): string {\n const title = webSearchProviderLabel(p.metadata.provider)\n const query = p.input.query ?? \"\"\n if (!query) {\n return `◈ ${title}`\n }\n\n return `◈ ${title} \"${query}\"`\n}\n\nconst TOOL_RULES = {\n invalid: {\n view: {\n output: true,\n final: false,\n },\n run: runInvalid,\n scroll: {\n start: () => \"\",\n },\n },\n shell: {\n view: {\n output: true,\n final: false,\n },\n run: runShell,\n scroll: {\n start: scrollBashStart,\n progress: scrollBashProgress,\n final: scrollShellFinal,\n },\n },\n write: {\n view: {\n output: false,\n final: true,\n snap: \"code\",\n },\n run: runWrite,\n snap: snapWrite,\n scroll: {\n start: scrollWriteStart,\n },\n },\n edit: {\n view: {\n output: false,\n final: true,\n snap: \"diff\",\n },\n run: runEdit,\n snap: snapEdit,\n scroll: {\n start: scrollEditStart,\n },\n },\n patch: {\n view: {\n output: false,\n final: true,\n snap: \"diff\",\n },\n run: runPatch,\n snap: snapPatch,\n scroll: {\n start: scrollPatchStart,\n final: scrollPatchFinal,\n },\n },\n batch: {\n view: {\n output: true,\n final: false,\n },\n run: runBatch,\n scroll: {\n start: () => \"\",\n },\n },\n subagent: {\n view: {\n output: false,\n final: true,\n snap: \"structured\",\n },\n run: runTask,\n snap: snapTask,\n scroll: {\n start: scrollTaskStart,\n final: scrollTaskFinal,\n },\n },\n question: {\n view: {\n output: false,\n final: true,\n snap: \"structured\",\n },\n run: runQuestion,\n snap: snapQuestion,\n scroll: {\n start: scrollQuestionStart,\n final: scrollQuestionFinal,\n },\n },\n read: {\n view: {\n output: false,\n final: false,\n },\n run: runRead,\n scroll: {\n start: scrollReadStart,\n },\n },\n glob: {\n view: {\n output: false,\n final: false,\n },\n run: runGlob,\n scroll: {\n start: scrollGlobStart,\n final: scrollGlobFinal,\n },\n },\n grep: {\n view: {\n output: false,\n final: false,\n },\n run: runGrep,\n scroll: {\n start: scrollGrepStart,\n },\n },\n list: {\n view: {\n output: false,\n final: false,\n },\n run: runList,\n scroll: {\n start: scrollListStart,\n },\n },\n lsp: {\n view: {\n output: false,\n final: false,\n },\n run: runLsp,\n scroll: {\n start: scrollLspStart,\n },\n },\n webfetch: {\n view: {\n output: false,\n final: false,\n },\n run: runWebfetch,\n scroll: {\n start: scrollWebfetchStart,\n },\n },\n websearch: {\n view: {\n output: false,\n final: false,\n },\n run: runWebSearch,\n scroll: {\n start: scrollWebSearchStart,\n },\n },\n skill: {\n view: {\n output: false,\n final: false,\n },\n run: runSkill,\n scroll: {\n start: scrollSkillStart,\n },\n },\n} as const satisfies ToolRegistry\n\nfunction key(name: string): name is ToolName {\n return Object.prototype.hasOwnProperty.call(TOOL_RULES, name)\n}\n\nfunction rule(name?: string): AnyToolRule | undefined {\n if (!name || !key(name)) {\n return undefined\n }\n\n return TOOL_RULES[name]\n}\n\nfunction frame(part: SessionMessageAssistantTool, directory?: string): ToolFrame {\n const tool = normalizeTool(part)\n if (tool.state.status === \"streaming\")\n return {\n directory,\n raw: tool.state.input,\n name: tool.name,\n input: {},\n meta: {},\n state: dict(tool.state),\n status: tool.state.status,\n error: \"\",\n output: \"\",\n time: { start: tool.time.created },\n }\n const output = toolOutputText(tool.name, toolDisplayContent(tool.state))\n return {\n directory,\n raw: output,\n name: tool.name,\n input: normalizeInput(tool.name, tool.state.input),\n meta: normalizeMetadata(tool.name, tool.state.metadata),\n state: dict(tool.state),\n status: tool.state.status,\n error: tool.state.status === \"error\" ? tool.state.error.message : \"\",\n output,\n time: {\n start: tool.time.ran ?? tool.time.created,\n end: tool.time.completed,\n },\n }\n}\n\nfunction toolFrame(commit: StreamCommit, raw: string): ToolFrame {\n const current = commit.part ? frame(commit.part, commit.directory) : undefined\n return {\n directory: commit.directory,\n raw,\n name: canonicalToolName(commit.tool || current?.name || \"tool\"),\n input: current?.input ?? {},\n meta: current?.meta ?? {},\n state: current?.state ?? {},\n status: commit.toolState ?? current?.status ?? \"\",\n error: (commit.toolError ?? current?.error ?? \"\").trim(),\n output: current?.output ?? raw,\n time: current?.time ?? {},\n }\n}\n\nfunction runShell(p: ToolProps): ToolInline {\n return {\n icon: \"$\",\n title: p.input.command || \"\",\n mode: \"block\",\n body: p.frame.status === \"completed\" ? p.frame.output.trim() : undefined,\n }\n}\n\nexport function toolView(name?: string): ToolView {\n return (\n rule(name ? canonicalToolName(name) : undefined)?.view ?? {\n output: true,\n final: true,\n }\n )\n}\n\nexport function toolStructuredFinal(commit: StreamCommit): boolean {\n const state = commit.toolState ?? commit.part?.state.status\n return (\n commit.kind === \"tool\" &&\n commit.phase === \"final\" &&\n state === \"completed\" &&\n Boolean(toolView(commit.tool ?? commit.part?.name).snap)\n )\n}\n\nexport function toolInlineInfo(part: SessionMessageAssistantTool, directory?: string): ToolInline {\n const ctx = frame(part, directory)\n const draw = rule(ctx.name)?.run\n try {\n if (draw) {\n return draw(props(ctx))\n }\n } catch {\n return fallbackInline(ctx)\n }\n\n return fallbackInline(ctx)\n}\n\nexport function toolScroll(phase: ToolPhase, ctx: ToolFrame): string {\n const draw = rule(ctx.name)?.scroll?.[phase]\n try {\n if (draw) {\n return draw(props(ctx))\n }\n } catch {\n if (phase === \"start\") {\n return fallbackStart(ctx)\n }\n if (phase === \"progress\") {\n return ctx.raw\n }\n return fallbackFinal(ctx)\n }\n\n if (phase === \"start\") {\n return fallbackStart(ctx)\n }\n\n if (phase === \"progress\") {\n return ctx.raw\n }\n\n return fallbackFinal(ctx)\n}\n\nfunction toolSnapshot(commit: StreamCommit, raw: string): ToolSnapshot | undefined {\n const ctx = toolFrame(commit, raw)\n const draw = rule(ctx.name)?.snap\n if (!draw) {\n return undefined\n }\n\n try {\n return draw(props(ctx))\n } catch {\n return undefined\n }\n}\n\nfunction textBody(content: string): RunEntryBody | undefined {\n if (!content) {\n return undefined\n }\n\n return {\n type: \"text\",\n content,\n }\n}\n\nfunction markdownBody(content: string): RunEntryBody | undefined {\n if (!content) {\n return undefined\n }\n\n return {\n type: \"markdown\",\n content,\n }\n}\n\nfunction structuredBody(commit: StreamCommit, raw: string): RunEntryBody | undefined {\n const snap = toolSnapshot(commit, raw)\n if (!snap) {\n return undefined\n }\n\n return {\n type: \"structured\",\n snapshot: snap,\n }\n}\n\nconst STRUCTURED_FALLBACK_LENGTH = 4_096\n\nfunction structuredFallback(value: ToolDict): RunEntryBody | undefined {\n if (Object.keys(value).length === 0) return\n const content = JSON.stringify(value, null, 2)\n if (!content) return\n const suffix = \"\\n... [truncated]\"\n return {\n type: \"code\",\n content:\n content.length <= STRUCTURED_FALLBACK_LENGTH\n ? content\n : content.slice(0, STRUCTURED_FALLBACK_LENGTH - suffix.length) + suffix,\n filetype: \"json\",\n }\n}\n\nfunction shellOutput(command: string, raw: string): string | undefined {\n const body = stripAnsi(raw).replace(/^\\n+/, \"\").replace(/\\n+$/, \"\")\n if (!body) {\n return undefined\n }\n\n if (!command) {\n return body\n }\n\n return `\\n${body}`\n}\n\nexport function toolEntryBody(\n commit: StreamCommit,\n raw: string,\n options?: { shellOutput?: boolean },\n): RunEntryBody | undefined {\n if (commit.shell) {\n if (commit.phase === \"start\") {\n return textBody(`$ ${commit.shell.command}`)\n }\n\n if (commit.phase === \"progress\") {\n return textBody(shellOutput(commit.shell.command, raw) ?? \"\")\n }\n\n if (commit.toolState === \"error\") {\n const ctx = toolFrame(commit, raw)\n return textBody(toolScroll(\"final\", ctx))\n }\n\n return undefined\n }\n\n const ctx = toolFrame(commit, raw)\n const view = toolView(ctx.name)\n\n if (ctx.name === \"shell\" && commit.phase === \"progress\" && options?.shellOutput === false) return undefined\n\n if (ctx.name === \"subagent\") {\n if (commit.phase === \"start\") {\n return undefined\n }\n\n if (commit.phase === \"final\" && ctx.status === \"completed\") {\n const result = taskResult(ctx.output)\n if (result) {\n return markdownBody(result)\n }\n }\n }\n\n if (commit.phase === \"progress\" && !view.output) {\n return undefined\n }\n\n if (commit.phase === \"final\") {\n if (ctx.status === \"error\") {\n return textBody(toolScroll(\"final\", ctx))\n }\n\n if (!view.final) {\n return undefined\n }\n\n if (ctx.status && ctx.status !== \"completed\") {\n return textBody(ctx.raw.trim())\n }\n\n if (toolStructuredFinal(commit)) {\n return structuredBody(commit, raw) ?? textBody(toolScroll(\"final\", ctx))\n }\n\n if (!rule(ctx.name) && !ctx.output.trim()) {\n return structuredFallback(ctx.meta) ?? textBody(toolScroll(\"final\", ctx))\n }\n }\n\n return textBody(toolScroll(commit.phase, ctx))\n}\n\nexport function toolFiletype(input?: string): string | undefined {\n if (!input) {\n return undefined\n }\n\n const ext = path.extname(input)\n const lang = LANGUAGE_EXTENSIONS[ext]\n if ([\"typescriptreact\", \"javascriptreact\", \"javascript\"].includes(lang)) {\n return \"typescript\"\n }\n\n return lang\n}\n" | ||
| ], | ||
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| ||
| "debugId": "A25EBF0E6D1E26DE64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/mini.ts", "src/mini-host.ts"], | ||
| "sourcesContent": [ | ||
| "import { Service, type Endpoint } from \"@opencode-ai/client/effect/service\"\nimport { ClientError, OpenCode, type OpenCodeClient } from \"@opencode-ai/client/promise\"\nimport type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { setTimeout } from \"node:timers/promises\"\nimport { readStdin } from \"./util/io\"\nimport { createMiniHost, INTERACTIVE_INPUT_ERROR, usingInteractiveStdin } from \"./mini-host\"\nimport { parseSessionTargetModel, resolveSessionTarget, type SessionTargetPreparation } from \"./session-target\"\nimport { Env } from \"./env\"\n\nexport type MiniCommandInput = {\n server: {\n endpoint: Endpoint\n reconnect?: (signal: AbortSignal) => Promise<Endpoint>\n }\n continue?: boolean\n session?: string\n fork?: boolean\n model?: string\n agent?: string\n prompt?: string\n replay?: boolean\n replayLimit?: number\n demo?: boolean\n tuiConfig?: MiniFrontendInput[\"tuiConfig\"]\n config?: MiniFrontendInput[\"config\"]\n paths: { home: string; state: string; log: string }\n}\n\ntype Model = MiniFrontendInput[\"model\"]\n\nclass MiniInputError extends Error {}\n\nexport async function runMini(input: MiniCommandInput) {\n try {\n validate(input)\n const result = await usingInteractiveStdin(async (terminal) => {\n const initialInput = mergeInput(process.stdin.isTTY ? undefined : await readStdin(), input.prompt)\n const frontendTask = import(\"@opencode-ai/tui/mini\")\n const directory = localDirectory()\n const connection = createMiniConnection(input.server)\n const sdk = connection.sdk\n const environment = input.server.reconnect ? Env.session() : undefined\n const requested = parseModel(input.model)\n const model = requested ? { providerID: requested.providerID, modelID: requested.id } : undefined\n const prepare = prepareTarget(input.agent)\n const resolveTarget = async (initial: OpenCodeClient, signal: AbortSignal) => {\n const resolved = await resolveMiniTarget({\n sdk: initial,\n reconnect: connection.reconnect,\n signal,\n resolve: (client) =>\n resolveSessionTarget({\n client,\n location: { directory },\n continue: input.continue,\n session: input.session,\n fork: input.fork,\n model: requested,\n agent: input.agent,\n environment,\n prepare,\n signal,\n }).catch((error) => {\n if (error instanceof Error && error.message === \"Session not found\")\n throw new MiniInputError(error.message)\n throw error\n }),\n })\n const target = resolved.value\n return {\n sdk: resolved.sdk,\n sessionID: target.session.id,\n sessionTitle: target.session.title,\n location: target.location,\n model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n variant: target.model?.variant,\n agent: target.agent,\n resume: target.resume,\n }\n }\n const create = (\n client: OpenCodeClient,\n next: {\n location: { directory: string; workspaceID?: string }\n agent: string | undefined\n model: Model\n variant: string | undefined\n },\n signal?: AbortSignal,\n ) =>\n resolveSessionTarget({\n client,\n location: { directory: next.location.directory, workspace: next.location.workspaceID },\n agent: next.agent,\n environment,\n model: next.model\n ? { providerID: next.model.providerID, id: next.model.modelID, variant: next.variant }\n : undefined,\n prepare,\n signal,\n }).then((target) => ({\n sessionID: target.session.id,\n sessionTitle: target.session.title,\n location: target.location,\n model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,\n variant: target.model?.variant,\n agent: target.agent,\n resume: false,\n }))\n const frontend = await frontendTask\n return frontend.runMiniFrontend({\n host: createMiniHost({ terminal, directory, paths: input.paths }),\n sdk,\n directory,\n target: resolveTarget,\n reconnect: connection.reconnect,\n createSession: create,\n agent: input.agent,\n model,\n variant: requested?.variant,\n files: [],\n initialInput,\n replay: input.replay ?? true,\n replayLimit: input.replayLimit,\n demo: input.demo,\n tuiConfig: input.tuiConfig,\n config: input.config,\n })\n })\n if (result.exitCode !== 0) process.exit(result.exitCode)\n } catch (error) {\n if (error instanceof MiniInputError || (error instanceof Error && error.message === INTERACTIVE_INPUT_ERROR))\n fail(error.message)\n throw error\n }\n}\n\n/** @internal Exported for CLI boundary tests. */\nexport function createMiniConnection(input: MiniCommandInput[\"server\"]) {\n const make = (endpoint: Endpoint) =>\n OpenCode.make({\n baseUrl: endpoint.url,\n headers: Service.headers(endpoint),\n })\n const reconnect = input.reconnect\n return {\n sdk: make(input.endpoint),\n reconnect: reconnect\n ? async (signal: AbortSignal) => {\n const endpoint = await reconnect(signal)\n return make(endpoint)\n }\n : undefined,\n }\n}\n\n/** @internal Exported for reconnect lifecycle tests. */\nexport async function resolveMiniTarget<A>(input: {\n sdk: OpenCodeClient\n reconnect?: (signal: AbortSignal) => Promise<OpenCodeClient>\n signal: AbortSignal\n resolve: (sdk: OpenCodeClient) => Promise<A>\n}) {\n let sdk = input.sdk\n while (true) {\n try {\n return { sdk, value: await input.resolve(sdk) }\n } catch (error) {\n if (!input.reconnect || !(error instanceof ClientError) || error.reason !== \"Transport\") throw error\n while (true) {\n try {\n sdk = await input.reconnect(input.signal)\n break\n } catch (resolveError) {\n if (input.signal.aborted) throw resolveError\n await setTimeout(250, undefined, { signal: input.signal })\n }\n }\n }\n }\n}\n\nexport function validateMiniTerminal() {\n if (!process.stdout.isTTY) fail(\"opencode mini requires a TTY stdout\")\n}\n\n/** @internal Exported for testing. */\nexport function mergeInput(piped: string | undefined, prompt: string | undefined) {\n if (!prompt) return piped || undefined\n if (!piped) return prompt\n return piped + \"\\n\" + prompt\n}\n\nfunction validate(input: MiniCommandInput) {\n validateMiniTerminal()\n if (input.replayLimit !== undefined && (!Number.isInteger(input.replayLimit) || input.replayLimit <= 0)) {\n fail(\"--replay-limit must be a positive integer\")\n }\n if (input.fork && !input.continue && !input.session) fail(\"--fork requires --continue or --session\")\n}\n\nfunction localDirectory(): string {\n const root = process.env.PWD ?? process.cwd()\n try {\n process.chdir(root)\n return process.cwd()\n } catch {\n throw new MiniInputError(`Failed to change directory to ${root}`)\n }\n}\n\nfunction parseModel(value?: string) {\n try {\n return parseSessionTargetModel(value)\n } catch {\n throw new MiniInputError(\"--model must use the format provider/model[#variant]\")\n }\n}\n\nfunction prepareTarget(requestedAgent?: string): SessionTargetPreparation {\n return async (input) => ({ model: input.model, agent: requestedAgent ?? input.agent })\n}\n\nfunction fail(message: string): never {\n process.stderr.write(`\\x1b[91m\\x1b[1mError: \\x1b[0m${message}\\n`)\n process.exit(1)\n}\n", | ||
| "import type { MiniFrontendInput } from \"@opencode-ai/tui/mini\"\nimport { createModelPreferenceRepository } from \"@opencode-ai/tui/model-preference\"\nimport fs from \"node:fs\"\nimport { readFile } from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { ReadStream } from \"node:tty\"\n\nexport const INTERACTIVE_INPUT_ERROR = \"opencode mini requires a controlling terminal for input\"\n\nexport type InteractiveStdin = {\n stdin: NodeJS.ReadStream\n cleanup(): void\n}\n\ntype MiniHost = MiniFrontendInput[\"host\"]\n\nfunction preferences(statePath: string): MiniHost[\"preferences\"] {\n const repository = createModelPreferenceRepository(path.join(statePath, \"model.json\"))\n return {\n async resolveVariant(model) {\n if (!model) return\n return repository.resolveVariant(model)\n },\n async saveVariant(model, variant) {\n if (!model) return\n await repository.saveVariant(model, variant).catch(() => undefined)\n },\n }\n}\n\nfunction signal(name: \"SIGINT\" | \"SIGUSR2\"): MiniHost[\"signals\"][\"sigint\"] {\n return {\n subscribe(listener) {\n let subscribed = true\n process.on(name, listener)\n return () => {\n if (!subscribed) return\n subscribed = false\n process.off(name, listener)\n }\n },\n }\n}\n\nfunction createTrace(\n logPath: string,\n diagnostics: { pid: number; cwd: string; argv: string[] },\n): MiniHost[\"diagnostics\"][\"trace\"] {\n if (!process.env.OPENCODE_DIRECT_TRACE) return\n const stamp = new Date()\n .toISOString()\n .replace(/[-:]/g, \"\")\n .replace(/\\.\\d+Z$/, \"Z\")\n const target = path.join(logPath, \"direct\", `${stamp}-${diagnostics.pid}.jsonl`)\n const text = (data: unknown) =>\n JSON.stringify(data, (_key, value) => (typeof value === \"bigint\" ? String(value) : value), 0)\n fs.mkdirSync(path.dirname(target), { recursive: true })\n fs.writeFileSync(\n path.join(logPath, \"direct\", \"latest.json\"),\n text({\n time: new Date().toISOString(),\n ...diagnostics,\n path: target,\n }) + \"\\n\",\n )\n const trace = {\n write(type: string, data?: unknown) {\n fs.appendFileSync(\n target,\n text({\n time: new Date().toISOString(),\n pid: diagnostics.pid,\n type,\n data,\n }) + \"\\n\",\n )\n },\n }\n trace.write(\"trace.start\", {\n argv: diagnostics.argv,\n cwd: diagnostics.cwd,\n path: target,\n })\n return trace\n}\n\nfunction openTerminalStdin(target: string): NodeJS.ReadStream {\n return new ReadStream(fs.openSync(target, \"r\"))\n}\n\nexport function resolveInteractiveStdin(\n stdin: NodeJS.ReadStream = process.stdin,\n open: (target: string) => NodeJS.ReadStream = openTerminalStdin,\n platform: NodeJS.Platform = process.platform,\n): InteractiveStdin {\n if (stdin.isTTY) return { stdin, cleanup() {} }\n const target = platform === \"win32\" ? \"CONIN$\" : \"/dev/tty\"\n try {\n const source = open(target)\n let cleaned = false\n return {\n stdin: source,\n cleanup() {\n if (cleaned) return\n cleaned = true\n source.destroy()\n },\n }\n } catch (error) {\n throw new Error(INTERACTIVE_INPUT_ERROR, { cause: error })\n }\n}\n\n/** @internal Exported for owner-local resource cleanup tests. */\nexport async function usingInteractiveStdin<T>(\n run: (terminal: InteractiveStdin) => Promise<T>,\n resolve: () => InteractiveStdin = resolveInteractiveStdin,\n) {\n const terminal = resolve()\n try {\n return await run(terminal)\n } finally {\n terminal.cleanup()\n }\n}\n\n/** @internal Exported for owner-local host capability tests. */\nexport function createMiniHost(input: {\n terminal: InteractiveStdin\n directory: string\n paths: { home: string; state: string; log: string }\n}): MiniHost {\n const paths = input.paths\n const diagnostics = {\n pid: process.pid,\n cwd: input.directory,\n argv: process.argv.slice(2),\n }\n return {\n terminal: { stdin: input.terminal.stdin },\n platform: process.platform,\n stdout: {\n write(value) {\n process.stdout.write(value)\n },\n },\n files: {\n readText: (url) => readFile(new URL(url), \"utf8\"),\n },\n editor: {\n async open(options) {\n const { openEditor } = await import(\"@opencode-ai/tui/editor\")\n return openEditor(options)\n },\n },\n paths: { home: paths.home },\n signals: {\n sigint: signal(\"SIGINT\"),\n sigusr2: signal(\"SIGUSR2\"),\n },\n startup: {\n showTiming: [\"1\", \"true\"].includes(process.env.OPENCODE_SHOW_TTFD?.toLowerCase() ?? \"\"),\n now: () => performance.now(),\n },\n diagnostics: {\n trace: createTrace(paths.log, diagnostics),\n },\n preferences: preferences(paths.state),\n }\n}\n" | ||
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| ||
| "debugId": "3A1FB452E18F867D64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": [], | ||
| "sourcesContent": [ | ||
| ], | ||
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| "debugId": "D4B9650F19E0FE5C64756E2164756E21", | ||
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| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/util/string-width.bun.ts", "../tui/src/util/locale.ts"], | ||
| "sourcesContent": [ | ||
| "export const stringWidth = Bun.stringWidth\n", | ||
| "import { stringWidth } from \"./string-width\"\n\nexport function titlecase(str: string) {\n return str.replace(/\\b\\w/g, (c) => c.toUpperCase())\n}\n\nexport function time(input: number): string {\n const date = new Date(input)\n return date.toLocaleTimeString(undefined, { timeStyle: \"short\" })\n}\n\nexport function datetime(input: number): string {\n const date = new Date(input)\n const localTime = time(input)\n const localDate = date.toLocaleDateString()\n return `${localTime} · ${localDate}`\n}\n\nexport function number(num: number): string {\n if (num >= 1000000) {\n return (num / 1000000).toFixed(1) + \"M\"\n } else if (num >= 1000) {\n return (num / 1000).toFixed(1) + \"K\"\n }\n return num.toString()\n}\n\nexport function duration(input: number) {\n if (input < 1000) {\n return `${input}ms`\n }\n if (input < 60000) {\n return `${(input / 1000).toFixed(1)}s`\n }\n if (input < 3600000) {\n const minutes = Math.floor(input / 60000)\n const seconds = Math.floor((input % 60000) / 1000)\n return `${minutes}m ${seconds}s`\n }\n if (input < 86400000) {\n const hours = Math.floor(input / 3600000)\n const minutes = Math.floor((input % 3600000) / 60000)\n return `${hours}h ${minutes}m`\n }\n const days = Math.floor(input / 86400000)\n const hours = Math.floor((input % 86400000) / 3600000)\n return `${days}d ${hours}h`\n}\n\nexport function truncate(str: string, len: number): string {\n if (str.length <= len) return str\n return str.slice(0, len - 1) + \"…\"\n}\n\nconst graphemeSegmenter = new Intl.Segmenter(undefined, { granularity: \"grapheme\" })\n\nexport function graphemes(str: string) {\n return Array.from(graphemeSegmenter.segment(str), (item) => item.segment)\n}\n\nexport function takeWidth(str: string, width: number) {\n if (width <= 0) return \"\"\n if (stringWidth(str) <= width) return str\n\n const result: string[] = []\n let used = 0\n for (const segment of graphemes(str)) {\n const next = stringWidth(segment)\n if (used + next > width) break\n result.push(segment)\n used += next\n }\n return result.join(\"\")\n}\n\nexport function truncateWidth(str: string, width: number): string {\n if (width <= 0) return \"\"\n if (stringWidth(str) <= width) return str\n if (width === 1) return \"…\"\n return takeWidth(str, width - 1) + \"…\"\n}\n\nexport function truncateLeft(str: string, len: number): string {\n if (str.length <= len) return str\n return \"…\" + str.slice(-(len - 1))\n}\n\nexport function truncateMiddle(str: string, maxLength: number = 35): string {\n if (str.length <= maxLength) return str\n\n const ellipsis = \"…\"\n const keepStart = Math.ceil((maxLength - ellipsis.length) / 2)\n const keepEnd = Math.floor((maxLength - ellipsis.length) / 2)\n\n return str.slice(0, keepStart) + ellipsis + str.slice(-keepEnd)\n}\n\nexport * as Locale from \"./locale\"\n" | ||
| ], | ||
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| "debugId": "D3E9CA7FEB51844B64756E2164756E21", | ||
| "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": "B8D10528E7ED2FF664756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../schema/src/command.ts", "../schema/src/websearch.ts", "../schema/src/reference.ts"], | ||
| "sourcesContent": [ | ||
| "export * as Command from \"./command.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\nimport { Model } from \"./model.js\"\nimport { Agent } from \"./agent.js\"\n\nconst Updated = ephemeral({ type: \"command.updated\", schema: {} })\n\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\nexport const Info = Schema.Struct({\n name: Schema.String,\n template: Schema.String,\n description: Schema.String.pipe(optional),\n agent: Agent.ID.pipe(optional),\n model: Model.Ref.pipe(optional),\n subtask: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Command.Info\" })\n\nexport const Event = {\n Updated,\n Definitions: inventory(Updated),\n}\n", | ||
| "export * as WebSearch from \"./websearch.js\"\n\nimport { Schema } from \"effect\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { optional } from \"./schema.js\"\n\nexport const ID = Schema.String.pipe(Schema.brand(\"WebSearch.ID\"))\nexport type ID = typeof ID.Type\n\nexport interface Provider extends Schema.Schema.Type<typeof Provider> {}\nexport const Provider = Schema.Struct({\n id: ID,\n name: Schema.String,\n}).annotate({ identifier: \"WebSearch.Provider\" })\n\nexport interface Input extends Schema.Schema.Type<typeof Input> {}\nexport const Input = Schema.Struct({\n query: Schema.String,\n providerID: ID.pipe(optional),\n}).annotate({ identifier: \"WebSearch.Input\" })\nexport type ProviderInput = Pick<Input, \"query\">\n\nexport interface Result extends Schema.Schema.Type<typeof Result> {}\nexport const Result = Schema.Struct({\n url: Schema.String,\n title: Schema.String.pipe(optional),\n content: Schema.String.pipe(optional),\n time: Schema.Struct({\n published: Schema.Finite.pipe(optional),\n }),\n}).annotate({ identifier: \"WebSearch.Result\" })\n\nexport class Response extends Schema.Class<Response>(\"WebSearch.Response\")({\n providerID: ID,\n results: Schema.Array(Result),\n}) {}\n\nconst Updated = ephemeral({\n type: \"websearch.updated\",\n schema: {},\n})\nexport const Event = { Updated, Definitions: inventory(Updated) }\n", | ||
| "export * as Reference from \"./reference.js\"\n\nimport { Schema } from \"effect\"\nimport { optional } from \"./schema.js\"\nimport { ephemeral, inventory } from \"./event.js\"\nimport { AbsolutePath } from \"./schema.js\"\n\nconst Updated = ephemeral({ type: \"reference.updated\", schema: {} })\nexport const Event = { Updated, Definitions: inventory(Updated) }\n\nexport interface LocalSource extends Schema.Schema.Type<typeof LocalSource> {}\nexport const LocalSource = Schema.Struct({\n type: Schema.Literal(\"local\"),\n path: AbsolutePath,\n description: Schema.String.pipe(optional),\n hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.LocalSource\" })\n\nexport interface GitSource extends Schema.Schema.Type<typeof GitSource> {}\nexport const GitSource = Schema.Struct({\n type: Schema.Literal(\"git\"),\n repository: Schema.String,\n branch: Schema.String.pipe(optional),\n description: Schema.String.pipe(optional),\n hidden: Schema.Boolean.pipe(optional),\n}).annotate({ identifier: \"Reference.GitSource\" })\n\nexport const Source = Schema.Union([LocalSource, GitSource])\n .pipe(Schema.toTaggedUnion(\"type\"))\n .annotate({ identifier: \"Reference.Source\" })\nexport type Source = typeof Source.Type\n\nexport const Info = Schema.Struct({\n name: Schema.String,\n path: AbsolutePath,\n description: Schema.String.pipe(optional),\n hidden: Schema.Boolean.pipe(optional),\n source: Source,\n}).annotate({ identifier: \"Reference.Info\" })\nexport interface Info extends Schema.Schema.Type<typeof Info> {}\n" | ||
| ], | ||
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| "debugId": "5A8A100B2335433E64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../ai/src/protocols/utils/tool-stream.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect } from \"effect\"\nimport { AIError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from \"../../schema/index.js\"\nimport { eventError, parseToolInput, type ToolAccumulator } from \"../shared.js\"\n\ntype StreamKey = string | number\n\n/**\n * One pending streamed tool call. Providers emit the tool identity and JSON\n * argument text across separate chunks; `input` is the raw JSON string collected\n * so far, not the parsed object.\n */\nexport interface PendingTool extends ToolAccumulator {\n readonly providerExecuted?: boolean\n readonly providerMetadata?: ProviderMetadata\n}\n\n/**\n * Sparse parser state keyed by the provider's stream-local tool identifier.\n *\n * This key is not the final tool-call id (`call_...`). It is the id/index the\n * provider uses while streaming a partial call: OpenAI Chat / Anthropic /\n * Bedrock use numeric content indexes, while OpenAI Responses uses string\n * `item_id`s. The generic keeps each protocol internally consistent.\n */\nexport type State<K extends StreamKey> = Partial<Record<K, PendingTool>>\n\n/**\n * Result of adding argument text to one pending tool call. It returns both the\n * next `tools` state and the updated `tool` because parsers often need the\n * current id/name immediately. `events` contains lifecycle and delta events\n * produced by the append; metadata-only deltas update identity without output.\n */\nexport interface AppendOutcome<K extends StreamKey> {\n readonly tools: State<K>\n readonly tool: PendingTool\n readonly events: ReadonlyArray<LLMEvent>\n}\n\n/** Create empty accumulator state for one provider stream. */\nexport const empty = <K extends StreamKey>(): State<K> => ({})\n\nconst withTool = <K extends StreamKey>(tools: State<K>, key: K, tool: PendingTool): State<K> => {\n return { ...tools, [key]: tool }\n}\n\nconst withoutTool = <K extends StreamKey>(tools: State<K>, key: K): State<K> => {\n const next = { ...tools }\n delete next[key]\n return next\n}\n\nconst inputStart = (tool: PendingTool) =>\n LLMEvent.toolInputStart({\n id: tool.id,\n name: tool.name,\n providerExecuted: tool.providerExecuted ? true : undefined,\n providerMetadata: tool.providerMetadata,\n })\n\nconst inputDelta = (tool: PendingTool, text: string) =>\n LLMEvent.toolInputDelta({\n id: tool.id,\n name: tool.name,\n text,\n })\n\nconst toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {\n const raw = inputOverride ?? tool.input\n return parseToolInput(route, tool.name, raw).pipe(\n Effect.map((input): ToolCall | ToolInputError =>\n LLMEvent.toolCall({\n id: tool.id,\n name: tool.name,\n input,\n providerExecuted: tool.providerExecuted ? true : undefined,\n providerMetadata: tool.providerMetadata,\n }),\n ),\n Effect.catch((error) =>\n tool.providerExecuted\n ? Effect.fail(error)\n : Effect.succeed(\n LLMEvent.toolInputError({\n id: tool.id,\n name: tool.name,\n raw,\n }),\n ),\n ),\n )\n}\n\nconst finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>\n event.type === \"tool-input-error\"\n ? [event]\n : [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]\n\n/** Store the updated tool and produce the optional public delta event. */\nconst appendTool = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: PendingTool,\n text: string,\n): AppendOutcome<K> => {\n const events: LLMEvent[] = []\n if (!tools[key]) events.push(inputStart(tool))\n if (text.length > 0) events.push(inputDelta(tool, text))\n return {\n tools: withTool(tools, key, tool),\n tool,\n events,\n }\n}\n\nexport const isError = <K extends StreamKey>(result: AppendOutcome<K> | AIError): result is AIError =>\n result instanceof AIError\n\n/**\n * Register a tool call whose start event arrived before any argument deltas.\n * Used by Anthropic `content_block_start`, Bedrock `contentBlockStart`, and\n * OpenAI Responses `response.output_item.added`.\n */\nexport const start = <K extends StreamKey>(\n tools: State<K>,\n key: K,\n tool: Omit<PendingTool, \"input\"> & { readonly input?: string },\n) => withTool(tools, key, { ...tool, input: tool.input ?? \"\" })\n\n/**\n * Append a streamed argument delta, starting the tool if this provider encodes\n * identity on the first delta instead of a separate start event. OpenAI Chat has\n * this shape: `tool_calls[].index` is the stream key, and `id` / `name` may only\n * appear on the first delta for that index.\n */\nexport const appendOrStart = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n delta: { readonly id?: string; readonly name?: string; readonly text: string },\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n const id = current?.id ?? delta.id\n const name = current?.name ?? delta.name\n if (!id || !name) return eventError(route, missingToolMessage)\n\n const tool = {\n id,\n name,\n input: `${current?.input ?? \"\"}${delta.text}`,\n providerExecuted: current?.providerExecuted,\n providerMetadata: current?.providerMetadata,\n }\n if (current && delta.text.length === 0 && current.id === id && current.name === name)\n return { tools, tool: current, events: [] }\n return appendTool(tools, key, tool, delta.text)\n}\n\n/**\n * Append argument text to a tool that must already have been started. This keeps\n * protocols honest when their stream grammar promises a start event before any\n * argument delta.\n */\nexport const appendExisting = <K extends StreamKey>(\n route: string,\n tools: State<K>,\n key: K,\n text: string,\n missingToolMessage: string,\n): AppendOutcome<K> | AIError => {\n const current = tools[key]\n if (!current) return eventError(route, missingToolMessage)\n if (text.length === 0) return { tools, tool: current, events: [] }\n return appendTool(tools, key, { ...current, input: `${current.input}${text}` }, text)\n}\n\n/**\n * Finalize one pending tool call: parse the accumulated raw JSON, remove it\n * from state, and return either a call or a non-executable local input error.\n * Missing keys are a no-op because some providers emit stop events for\n * non-tool content blocks.\n */\nexport const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool)),\n }\n })\n\n/**\n * Finalize one pending tool call with an authoritative final input string.\n * OpenAI Responses can send accumulated deltas and then repeat the completed\n * arguments on `response.output_item.done`; the final value wins.\n */\nexport const finishWithInput = <K extends StreamKey>(route: string, tools: State<K>, key: K, input: string) =>\n Effect.gen(function* () {\n const tool = tools[key]\n if (!tool) return { tools }\n return {\n tools: withoutTool(tools, key),\n events: finishEvents(tool, yield* toolCall(route, tool, input)),\n }\n })\n\n/**\n * Finalize every pending tool call at once. OpenAI Chat has this shape: it does\n * not emit per-tool stop events, so all accumulated calls finish independently\n * when the choice receives a terminal `finish_reason`.\n */\nexport const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>\n Effect.gen(function* () {\n const pending = Object.values<PendingTool | undefined>(tools).filter(\n (tool): tool is PendingTool => tool !== undefined,\n )\n return {\n tools: empty<K>(),\n events: yield* Effect.forEach(pending, (tool) =>\n toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),\n ).pipe(Effect.map((events) => events.flat())),\n }\n })\n\nexport * as ToolStream from \"./tool-stream.js\"\n" | ||
| ], | ||
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| "debugId": "38C2AF1EC46C865B64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/debug/config.ts"], | ||
| "sourcesContent": [ | ||
| "import { EOL } from \"os\"\nimport { Effect } from \"effect\"\nimport { OpenCode } from \"@opencode-ai/client\"\nimport { Service } from \"@opencode-ai/client/effect/service\"\nimport { Commands } from \"../../commands\"\nimport { Runtime } from \"../../../framework/runtime\"\nimport { ServiceConfig } from \"../../../services/service-config\"\n\nexport default Runtime.handler(\n Commands.commands.debug.commands.config,\n Effect.fn(\"cli.debug.config\")(function* () {\n const options = yield* ServiceConfig.options()\n const found = yield* Service.discover(options)\n const endpoint = found ?? (yield* Service.ensure(options))\n const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })\n const entries = yield* Effect.promise(() => client.config.get({ location: { directory: process.cwd() } }))\n process.stdout.write(JSON.stringify(entries, null, 2) + EOL)\n }),\n)\n" | ||
| ], | ||
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| "debugId": "7594BBCF155D39D964756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/theme/color.ts", "../tui/src/theme/resolve.ts"], | ||
| "sourcesContent": [ | ||
| "import { RGBA } from \"@opentui/core\"\n\nexport function ansiToRgba(code: number): RGBA {\n if (code < 16) {\n const ansiColors = [\n \"#000000\",\n \"#800000\",\n \"#008000\",\n \"#808000\",\n \"#000080\",\n \"#800080\",\n \"#008080\",\n \"#c0c0c0\",\n \"#808080\",\n \"#ff0000\",\n \"#00ff00\",\n \"#ffff00\",\n \"#0000ff\",\n \"#ff00ff\",\n \"#00ffff\",\n \"#ffffff\",\n ]\n return RGBA.fromHex(ansiColors[code] ?? \"#000000\")\n }\n\n if (code < 232) {\n const index = code - 16\n const b = index % 6\n const g = Math.floor(index / 6) % 6\n const r = Math.floor(index / 36)\n const val = (x: number) => (x === 0 ? 0 : x * 40 + 55)\n return RGBA.fromInts(val(r), val(g), val(b))\n }\n\n if (code < 256) {\n const gray = (code - 232) * 10 + 8\n return RGBA.fromInts(gray, gray, gray)\n }\n\n return RGBA.fromInts(0, 0, 0)\n}\n\nexport function tint(base: RGBA, overlay: RGBA, alpha: number): RGBA {\n const r = base.r + (overlay.r - base.r) * alpha\n const g = base.g + (overlay.g - base.g) * alpha\n const b = base.b + (overlay.b - base.b) * alpha\n return RGBA.fromInts(Math.round(r * 255), Math.round(g * 255), Math.round(b * 255))\n}\n", | ||
| "import { RGBA } from \"@opentui/core\"\nimport { ansiToRgba } from \"./color\"\nimport type { ColorValue, Theme, ThemeColor, ThemeV1Json } from \"./v1\"\n\nexport function resolveThemeColors(\n theme: ThemeV1Json,\n mode: \"dark\" | \"light\",\n resolveAnsi: (code: number) => RGBA = ansiToRgba,\n) {\n const defs = theme.defs ?? {}\n function resolveColor(color: ColorValue, chain: string[] = []): RGBA {\n if (color instanceof RGBA) return color\n if (typeof color === \"string\") {\n if (color === \"transparent\" || color === \"none\") return RGBA.fromInts(0, 0, 0, 0)\n\n if (color.startsWith(\"#\")) return RGBA.fromHex(color)\n\n if (chain.includes(color)) {\n throw new Error(`Circular color reference: ${[...chain, color].join(\" -> \")}`)\n }\n\n const next = defs[color] ?? theme.theme[color as ThemeColor]\n if (next === undefined) {\n throw new Error(`Color reference \"${color}\" not found in defs or theme`)\n }\n return resolveColor(next, [...chain, color])\n }\n if (typeof color === \"number\") return resolveAnsi(color)\n return resolveColor(color[mode], chain)\n }\n\n const resolved = Object.fromEntries(\n Object.entries(theme.theme)\n .filter(([key]) => key !== \"selectedListItemText\" && key !== \"backgroundMenu\" && key !== \"thinkingOpacity\")\n .map(([key, value]) => [key, resolveColor(value as ColorValue)]),\n ) as Partial<Record<ThemeColor, RGBA>>\n\n const hasSelectedListItemText = theme.theme.selectedListItemText !== undefined\n return {\n theme: {\n ...(resolved as Record<ThemeColor, RGBA>),\n selectedListItemText: hasSelectedListItemText\n ? resolveColor(theme.theme.selectedListItemText!)\n : resolved.background!,\n backgroundMenu:\n theme.theme.backgroundMenu === undefined\n ? resolved.backgroundElement!\n : resolveColor(theme.theme.backgroundMenu),\n } satisfies Omit<Theme, \"_hasSelectedListItemText\" | \"thinkingOpacity\">,\n hasSelectedListItemText,\n thinkingOpacity: theme.theme.thinkingOpacity ?? 0.6,\n }\n}\n" | ||
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| "debugId": "CAE1AAB6FAD8B4BE64756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["src/commands/handlers/run.ts"], | ||
| "sourcesContent": [ | ||
| "import { Effect, Option } from \"effect\"\nimport { Commands } from \"../commands\"\nimport { Runtime } from \"../../framework/runtime\"\nimport { ServerConnection } from \"../../services/server-connection\"\n\nexport default Runtime.handler(Commands.commands.run, (input) =>\n Effect.gen(function* () {\n const { runNonInteractive } = yield* Effect.promise(() => import(\"../../run/run\"))\n const separator = process.argv.indexOf(\"--\", 2)\n const server = yield* ServerConnection.resolve({\n server: Option.getOrUndefined(input.server),\n standalone: input.standalone,\n })\n yield* Effect.promise(() =>\n runNonInteractive({\n server,\n message: [...input.message, ...(separator === -1 ? [] : process.argv.slice(separator + 1))],\n continue: input.continue,\n session: Option.getOrUndefined(input.session),\n fork: input.fork,\n model: Option.getOrUndefined(input.model),\n agent: Option.getOrUndefined(input.agent),\n format: input.format,\n file: [...input.file],\n title: Option.getOrUndefined(input.title),\n thinking: input.thinking,\n auto: input.auto || input.yolo || input.dangerouslySkipPermissions,\n }),\n )\n }),\n)\n" | ||
| ], | ||
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| "debugId": "5BDAB833894F487064756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../tui/src/mini/demo.ts"], | ||
| "sourcesContent": [ | ||
| "// Demo mode for testing direct interactive mode without a real SDK.\n//\n// Enabled with `--demo`. Intercepts prompt submissions and drives the same\n// presentation commits and footer actions as the live transport. This\n// lets you test scrollback formatting, permission UI, canonical Form UI, and tool\n// snapshots without making actual model calls. Pass a demo slash command as\n// the initial interactive message to trigger a preview immediately.\n//\n// Slash commands:\n// /permission [kind] → triggers a permission request variant\n// /form [kind] → triggers a canonical Form request variant\n// /fmt <kind> → emits a specific tool/text type (text, reasoning, shell,\n// write, edit, patch, subagent, question, error, mix)\n//\n// Demo mode handles permission and Form replies locally, completing or failing\n// the synthetic tool parts through the same callbacks used by the live footer.\nimport path from \"path\"\nimport type { JsonValue, SessionMessageAssistantTool } from \"@opencode-ai/client/promise\"\nimport { parseSlashHead } from \"../prompt/parse\"\nimport { writeSessionOutput } from \"./stream\"\nimport { toolCommit, toolFinalPhase } from \"./stream-v2.subagent\"\nimport type {\n FooterApi,\n FooterView,\n FormCancel,\n FormReply,\n MiniFormRequest,\n MiniPermissionRequest,\n PermissionReply,\n RunPrompt,\n StreamCommit,\n} from \"./types\"\n\nconst KINDS = [\n \"markdown\",\n \"table\",\n \"text\",\n \"reasoning\",\n \"shell\",\n \"write\",\n \"edit\",\n \"patch\",\n \"subagent\",\n \"question\",\n \"error\",\n \"mix\",\n]\nconst PERMISSIONS = [\"edit\", \"shell\", \"read\", \"subagent\", \"external\", \"doom\"] as const\nconst FORMS = [\"question\", \"external\"] as const\n\ntype PermissionKind = (typeof PERMISSIONS)[number]\ntype FormKind = (typeof FORMS)[number]\n\nfunction permissionKind(value: string | undefined): PermissionKind | undefined {\n const next = (value || \"edit\").toLowerCase()\n return PERMISSIONS.find((item) => item === next)\n}\n\nfunction formKind(value: string | undefined): FormKind | undefined {\n const next = (value || \"question\").toLowerCase()\n return FORMS.find((item) => item === next)\n}\n\nconst SAMPLE_MARKDOWN = [\n \"# Direct Mode Demo\",\n \"\",\n \"This is a realistic assistant response for direct-mode formatting checks.\",\n \"It mixes **bold**, _italic_, `inline code`, links, code fences, and tables in one streamed reply.\",\n \"\",\n \"## Summary\",\n \"\",\n \"- Restored the final markdown flush so the last block is committed on idle.\",\n \"- Switched markdown scrollback commits back to top-level block boundaries.\",\n \"- Added footer-level regression coverage for split-footer rendering.\",\n \"\",\n \"## Status\",\n \"\",\n \"| Area | Before | After | Notes |\",\n \"| --- | --- | --- | --- |\",\n \"| Direct mode | Missing final rows | Stable | Final markdown block now flushes on idle |\",\n \"| Tables | Dropped in streaming mode | Visible | Block-based commits match the working OpenTUI demo |\",\n \"| Tests | Partial coverage | Broader coverage | Includes a footer-level split render capture |\",\n \"\",\n \"> This sample intentionally includes a wide table so you can spot wrapping and commit bugs quickly.\",\n \"\",\n \"```ts\",\n \"const result = { markdown: true, tables: 2, stable: true }\",\n \"```\",\n \"\",\n \"## Files\",\n \"\",\n \"| File | Change |\",\n \"| --- | --- |\",\n \"| `scrollback.surface.ts` | Align markdown commit logic with the split-footer demo |\",\n \"| `footer.ts` | Keep active surfaces across footer-height-only resizes |\",\n \"| `footer.test.ts` | Capture real split-footer markdown payloads during idle completion |\",\n \"\",\n \"Next step: run `/fmt table` if you want a tighter table-only sample.\",\n].join(\"\\n\")\n\nconst SAMPLE_TABLE = [\n \"# Table Sample\",\n \"\",\n \"| Kind | Example | Notes |\",\n \"| --- | --- | --- |\",\n \"| Pipe | `A\\\\|B` | Escaped pipes should stay in one cell |\",\n \"| Unicode | `漢字` | Wide characters should remain aligned |\",\n \"| Wrap | `LongTokenWithoutNaturalBreaks_1234567890` | Useful for width stress |\",\n \"| Status | done | Final row should still appear after idle |\",\n].join(\"\\n\")\n\ntype Ref = {\n msg: string\n call: string\n tool: string\n input: Record<string, JsonValue>\n start: number\n}\n\ntype FormRequest = {\n ref: Ref\n kind: FormKind\n request: MiniFormRequest\n}\n\ntype Perm = {\n ref: Ref\n done: {\n output: string\n metadata?: Record<string, JsonValue>\n }\n}\n\ntype Permit = {\n ref: Ref\n permission: string\n patterns: string[]\n metadata?: MiniPermissionRequest[\"metadata\"]\n always: string[]\n done: Perm[\"done\"]\n}\n\ntype State = {\n id: string\n thinking: boolean\n footer: FooterApi\n msg: number\n part: number\n call: number\n perm: number\n form: number\n perms: Map<string, Perm>\n forms: Map<string, FormRequest>\n started: Set<string>\n}\n\ntype Input = {\n sessionID: string\n thinking: boolean\n footer: FooterApi\n}\n\nfunction note(footer: FooterApi, text: string): void {\n footer.append({\n kind: \"system\",\n text,\n phase: \"start\",\n source: \"system\",\n })\n}\n\nfunction clearSubagent(footer: FooterApi): void {\n footer.event({\n type: \"stream.subagent\",\n state: {\n tabs: [],\n details: {},\n permissions: [],\n forms: [],\n },\n })\n}\n\nfunction showSubagent(\n state: State,\n input: {\n sessionID: string\n label: string\n description: string\n status: \"running\" | \"completed\" | \"cancelled\" | \"error\"\n title?: string\n commits: StreamCommit[]\n },\n) {\n state.footer.event({\n type: \"stream.subagent\",\n state: {\n tabs: [\n {\n sessionID: input.sessionID,\n label: input.label,\n description: input.description,\n status: input.status,\n title: input.title,\n },\n ],\n details: {\n [input.sessionID]: {\n commits: input.commits,\n },\n },\n permissions: [],\n forms: [],\n },\n })\n}\n\nfunction wait(ms: number, signal?: AbortSignal): Promise<void> {\n return new Promise((resolve) => {\n if (!signal) {\n setTimeout(resolve, ms)\n return\n }\n\n if (signal.aborted) {\n resolve()\n return\n }\n\n const done = () => {\n clearTimeout(timer)\n signal.removeEventListener(\"abort\", done)\n resolve()\n }\n\n const timer = setTimeout(() => {\n signal.removeEventListener(\"abort\", done)\n resolve()\n }, ms)\n\n signal.addEventListener(\"abort\", done, { once: true })\n })\n}\n\nfunction split(text: string): string[] {\n if (text.length <= 48) {\n return [text]\n }\n\n const size = Math.ceil(text.length / 3)\n return [text.slice(0, size), text.slice(size, size * 2), text.slice(size * 2)]\n}\n\nfunction take(state: State, key: \"msg\" | \"part\" | \"call\" | \"perm\", prefix: string): string {\n state[key] += 1\n return `demo_${prefix}_${state[key]}`\n}\n\nfunction present(state: State, commits: StreamCommit[], view?: FooterView): void {\n writeSessionOutput(\n { footer: state.footer },\n {\n commits,\n updates: view\n ? [\n {\n type: \"stream.patch\" as const,\n patch: { status: view.type === \"permission\" ? \"awaiting permission\" : \"awaiting form\" },\n },\n { type: \"stream.view\" as const, view },\n ]\n : undefined,\n },\n )\n}\n\nfunction clearBlocker(state: State): void {\n writeSessionOutput(\n { footer: state.footer },\n {\n commits: [],\n updates: [\n { type: \"stream.patch\", patch: { status: \"\" } },\n { type: \"stream.view\", view: { type: \"prompt\" } },\n ],\n },\n )\n}\n\nfunction open(state: State): string {\n return take(state, \"msg\", \"msg\")\n}\n\nasync function emitText(state: State, body: string, signal?: AbortSignal): Promise<void> {\n const msg = open(state)\n const part = take(state, \"part\", \"part\")\n for (const item of split(body)) {\n if (signal?.aborted) {\n return\n }\n\n present(state, [\n { kind: \"assistant\", source: \"assistant\", text: item, phase: \"progress\", messageID: msg, partID: part },\n ])\n await wait(45, signal)\n }\n}\n\nasync function emitReasoning(state: State, body: string, signal?: AbortSignal): Promise<void> {\n const msg = open(state)\n const part = take(state, \"part\", \"part\")\n let first = true\n for (const item of split(body)) {\n if (signal?.aborted) {\n return\n }\n\n if (state.thinking) {\n present(state, [\n {\n kind: \"reasoning\",\n source: \"reasoning\",\n text: first ? `Thinking: ${item.replace(/\\[REDACTED\\]/g, \"\")}` : item.replace(/\\[REDACTED\\]/g, \"\"),\n phase: \"progress\",\n messageID: msg,\n partID: part,\n },\n ])\n first = false\n }\n await wait(45, signal)\n }\n}\n\nfunction make(state: State, tool: string, input: Record<string, JsonValue>): Ref {\n return {\n msg: open(state),\n call: take(state, \"call\", \"call\"),\n tool,\n input,\n start: Date.now(),\n }\n}\n\nfunction startTool(state: State, ref: Ref, metadata: Record<string, JsonValue> = {}): SessionMessageAssistantTool {\n state.started.add(ref.call)\n const part = {\n type: \"tool\" as const,\n id: ref.call,\n name: ref.tool,\n state: { status: \"running\" as const, input: ref.input, metadata },\n time: { created: ref.start, ran: ref.start },\n }\n present(state, [toolCommit(part, ref.msg, \"start\")])\n return part\n}\n\nfunction askPermission(state: State, item: Permit): void {\n const tool = startTool(state, item.ref)\n\n const id = take(state, \"perm\", \"perm\")\n state.perms.set(id, {\n ref: item.ref,\n done: item.done,\n })\n\n present(state, [], {\n type: \"permission\",\n request: {\n id,\n sessionID: state.id,\n action: item.permission,\n resources: item.patterns,\n metadata: item.metadata ?? {},\n save: item.always,\n source: { type: \"tool\", messageID: item.ref.msg, id: item.ref.call },\n tool,\n },\n })\n}\n\nfunction doneTool(\n state: State,\n ref: Ref,\n output: {\n output: string\n metadata?: Record<string, JsonValue>\n },\n): void {\n if (!state.started.has(ref.call)) startTool(state, ref)\n const part: SessionMessageAssistantTool = {\n type: \"tool\",\n id: ref.call,\n name: ref.tool,\n state: {\n status: \"completed\",\n input: ref.input,\n content: [{ type: \"text\", text: output.output }],\n metadata: output.metadata,\n },\n time: { created: ref.start, ran: ref.start, completed: Date.now() },\n }\n present(state, [toolCommit(part, ref.msg, toolFinalPhase(part))])\n}\n\nfunction failTool(state: State, ref: Ref, error: string): void {\n if (!state.started.has(ref.call)) startTool(state, ref)\n present(state, [\n toolCommit(\n {\n type: \"tool\",\n id: ref.call,\n name: ref.tool,\n state: {\n status: \"error\",\n input: ref.input,\n error: { type: \"unknown\", message: error },\n },\n time: { created: ref.start, ran: ref.start, completed: Date.now() },\n },\n ref.msg,\n \"final\",\n ),\n ])\n}\n\nfunction emitError(state: State, text: string): void {\n present(state, [{ kind: \"error\", source: \"system\", text, phase: \"start\" }])\n}\n\nasync function emitBash(state: State, signal?: AbortSignal): Promise<void> {\n const ref = make(state, \"shell\", {\n command: \"git status\",\n workdir: process.cwd(),\n description: \"Show git status\",\n })\n startTool(state, ref)\n await wait(70, signal)\n doneTool(state, ref, {\n output: `${process.cwd()}\\ngit status\\nOn branch demo\\nnothing to commit, working tree clean\\n`,\n metadata: {\n exit: 0,\n },\n })\n}\n\nfunction emitWrite(state: State): void {\n const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n const ref = make(state, \"write\", {\n path: file,\n content: \"export const demo = 42\\n\",\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {},\n })\n}\n\nfunction emitEdit(state: State): void {\n const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n const ref = make(state, \"edit\", {\n path: file,\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n files: [\n {\n file,\n status: \"modified\",\n patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n },\n ],\n },\n })\n}\n\nfunction emitPatch(state: State): void {\n const file = path.join(process.cwd(), \"src\", \"demo-format.ts\")\n const ref = make(state, \"patch\", {\n patchText: \"*** Begin Patch\\n*** End Patch\",\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n files: [\n {\n status: \"modified\",\n file,\n patch: \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\",\n deletions: 1,\n },\n {\n status: \"added\",\n file: path.join(process.cwd(), \"README-demo.md\"),\n patch: \"@@ -0,0 +1,4 @@\\n+# Demo\\n+This is a generated preview file.\\n\",\n deletions: 0,\n },\n ],\n },\n })\n}\n\nfunction emitTask(state: State): void {\n const ref = make(state, \"subagent\", {\n description: \"Scan run/* for reducer touchpoints\",\n agent: \"explore\",\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n sessionID: \"ses_demo_child\",\n status: \"completed\",\n output: \"\",\n },\n })\n const part = {\n type: \"tool\",\n id: \"sub_demo_call_1\",\n name: \"read\",\n state: {\n status: \"running\",\n input: {\n path: \"packages/tui/src/mini/stream.ts\",\n offset: 1,\n limit: 200,\n },\n metadata: {},\n },\n time: { created: Date.now(), ran: Date.now() },\n } satisfies SessionMessageAssistantTool\n showSubagent(state, {\n sessionID: \"ses_demo_child\",\n label: \"Explore\",\n description: \"Scan run/* for reducer touchpoints\",\n status: \"completed\",\n title: \"Reducer touchpoints found\",\n commits: [\n {\n kind: \"user\",\n text: \"Scan run/* for reducer touchpoints\",\n phase: \"start\",\n source: \"system\",\n },\n {\n kind: \"reasoning\",\n text: \"Thinking: tracing reducer and footer boundaries\",\n phase: \"progress\",\n source: \"reasoning\",\n messageID: \"sub_demo_msg_reasoning\",\n partID: \"sub_demo_reasoning_1\",\n },\n toolCommit(part, \"sub_demo_msg_tool\", \"start\"),\n {\n kind: \"assistant\",\n text: \"Footer updates flow through stream.ts into RunFooter\",\n phase: \"progress\",\n source: \"assistant\",\n messageID: \"sub_demo_msg_text\",\n partID: \"sub_demo_text_1\",\n },\n ],\n })\n}\n\nfunction emitQuestionTool(state: State): void {\n const ref = make(state, \"question\", {\n questions: [\n {\n header: \"Style\",\n question: \"Which output style do you want to inspect?\",\n options: [\n { label: \"Diff\", description: \"Show diff block\" },\n { label: \"Code\", description: \"Show code block\" },\n ],\n multiple: false,\n custom: false,\n },\n {\n header: \"Extras\",\n question: \"Pick extra rows\",\n options: [\n { label: \"Usage\", description: \"Add usage row\" },\n { label: \"Duration\", description: \"Add duration row\" },\n ],\n multiple: true,\n custom: true,\n },\n ],\n })\n doneTool(state, ref, {\n output: \"\",\n metadata: {\n answers: [[\"Diff\"], [\"Usage\", \"custom-note\"]],\n },\n })\n}\n\nfunction emitPermission(state: State, kind: PermissionKind = \"edit\"): void {\n const root = process.cwd()\n const file = path.join(root, \"src\", \"demo-format.ts\")\n\n if (kind === \"shell\") {\n const command = \"git status --short\"\n const ref = make(state, \"shell\", {\n command,\n workdir: root,\n description: \"Inspect worktree changes\",\n })\n askPermission(state, {\n ref,\n permission: \"shell\",\n patterns: [command],\n always: [\"*\"],\n done: {\n output: `${root}\\ngit status --short\\n M src/demo-format.ts\\n?? src/demo-permission.ts\\n`,\n metadata: {\n exit: 0,\n },\n },\n })\n return\n }\n\n if (kind === \"read\") {\n const target = path.join(root, \"package.json\")\n const ref = make(state, \"read\", {\n path: target,\n offset: 1,\n limit: 80,\n })\n askPermission(state, {\n ref,\n permission: \"read\",\n patterns: [target],\n always: [target],\n done: {\n output: [\"1: {\", '2: \"name\": \"opencode\",', '3: \"private\": true', \"4: }\"].join(\"\\n\"),\n metadata: {},\n },\n })\n return\n }\n\n if (kind === \"subagent\") {\n const ref = make(state, \"subagent\", {\n description: \"Inspect footer spacing across direct-mode prompts\",\n agent: \"explore\",\n })\n askPermission(state, {\n ref,\n permission: \"subagent\",\n patterns: [\"explore\"],\n always: [\"*\"],\n done: {\n output: \"\",\n metadata: {\n sessionID: \"sub_demo_perm_1\",\n status: \"completed\",\n output: \"\",\n },\n },\n })\n return\n }\n\n if (kind === \"external\") {\n const dir = path.join(path.dirname(root), \"demo-shared\")\n const target = path.join(dir, \"README.md\")\n const ref = make(state, \"read\", {\n path: target,\n offset: 1,\n limit: 40,\n })\n askPermission(state, {\n ref,\n permission: \"external_directory\",\n patterns: [`${dir}/**`],\n metadata: {\n parentDir: dir,\n filepath: target,\n },\n always: [`${dir}/**`],\n done: {\n output: `1: # External demo\\n2: Shared preview file\\nPath: ${target}`,\n metadata: {},\n },\n })\n return\n }\n\n if (kind === \"doom\") {\n const ref = make(state, \"subagent\", {\n description: \"Retry the formatter after repeated failures\",\n agent: \"general\",\n })\n askPermission(state, {\n ref,\n permission: \"doom_loop\",\n patterns: [\"*\"],\n always: [\"*\"],\n done: {\n output: \"Continuing after repeated failures.\\n\",\n metadata: {},\n },\n })\n return\n }\n\n const diff = \"@@ -1 +1 @@\\n-export const demo = 1\\n+export const demo = 42\\n\"\n const ref = make(state, \"edit\", {\n path: file,\n })\n askPermission(state, {\n ref,\n permission: \"edit\",\n patterns: [file],\n always: [file],\n done: {\n output: \"\",\n metadata: {\n files: [{ file, status: \"modified\", patch: diff }],\n },\n },\n })\n}\n\nfunction demoForm(kind: FormKind): { title: string; fields: MiniFormRequest[\"fields\"]; questions?: JsonValue[] } {\n if (kind === \"question\") {\n const questions: JsonValue[] = [\n {\n header: \"Layout\",\n question: \"Which footer view should be the reference for spacing checks?\",\n options: [\n { label: \"Form\", description: \"Inspect the canonical Form footer\" },\n { label: \"Prompt\", description: \"Return to the normal composer\" },\n ],\n multiple: false,\n custom: true,\n },\n {\n header: \"Checks\",\n question: \"Pick formatting previews\",\n options: [\n { label: \"Diff\", description: \"Emit an edit diff\" },\n { label: \"Subagent\", description: \"Emit a subagent card\" },\n ],\n multiple: true,\n custom: true,\n },\n ]\n return {\n title: \"Questions\",\n questions,\n fields: [\n {\n key: \"q0\",\n title: \"Layout\",\n description: \"Which footer view should be the reference for spacing checks?\",\n type: \"string\",\n options: [\n { value: \"Form\", label: \"Form\", description: \"Inspect the canonical Form footer\" },\n { value: \"Prompt\", label: \"Prompt\", description: \"Return to the normal composer\" },\n ],\n custom: true,\n },\n {\n key: \"q1\",\n title: \"Checks\",\n description: \"Pick formatting previews\",\n type: \"multiselect\",\n options: [\n { value: \"Diff\", label: \"Diff\", description: \"Emit an edit diff\" },\n { value: \"Subagent\", label: \"Subagent\", description: \"Emit a subagent card\" },\n ],\n custom: true,\n },\n ],\n }\n }\n return {\n title: \"MCP authorization\",\n fields: [\n {\n key: \"authorization\",\n type: \"external\",\n url: \"https://example.com/opencode-demo\",\n title: \"Authorize demo MCP server\",\n description: \"Complete authorization in your browser\",\n },\n ],\n }\n}\n\nfunction emitForm(state: State, kind: FormKind = \"question\"): void {\n const form = demoForm(kind)\n const ref = make(state, kind === \"question\" ? \"question\" : \"mcp_demo\", {\n ...(form.questions ? { questions: form.questions } : { form: kind }),\n })\n startTool(state, ref)\n state.form++\n const request: MiniFormRequest = {\n id: `frm_demo_${state.form}`,\n sessionID: state.id,\n title: form.title,\n metadata:\n kind === \"question\"\n ? { kind: \"question\", tool: { messageID: ref.msg, id: ref.call } }\n : { kind: \"mcp\", message: `Synthetic ${kind} MCP elicitation` },\n fields: form.fields,\n }\n state.forms.set(request.id, { ref, kind, request })\n present(state, [], { type: \"form\", request })\n}\n\nasync function emitFmt(state: State, kind: string, body: string, signal?: AbortSignal): Promise<boolean> {\n if (kind === \"text\") {\n await emitText(state, body || SAMPLE_MARKDOWN, signal)\n return true\n }\n\n if (kind === \"markdown\" || kind === \"md\") {\n await emitText(state, body || SAMPLE_MARKDOWN, signal)\n return true\n }\n\n if (kind === \"table\") {\n await emitText(state, body || SAMPLE_TABLE, signal)\n return true\n }\n\n if (kind === \"reasoning\") {\n await emitReasoning(state, body || \"Planning next steps [REDACTED] while preserving reducer ordering.\", signal)\n return true\n }\n\n if (kind === \"shell\") {\n await emitBash(state, signal)\n return true\n }\n\n if (kind === \"write\") {\n emitWrite(state)\n return true\n }\n\n if (kind === \"edit\") {\n emitEdit(state)\n return true\n }\n\n if (kind === \"patch\") {\n emitPatch(state)\n return true\n }\n\n if (kind === \"subagent\") {\n emitTask(state)\n return true\n }\n\n if (kind === \"question\") {\n emitQuestionTool(state)\n return true\n }\n\n if (kind === \"error\") {\n emitError(state, body || \"demo error event\")\n return true\n }\n\n if (kind === \"mix\") {\n await emitText(state, SAMPLE_MARKDOWN, signal)\n await wait(50, signal)\n await emitReasoning(state, \"Thinking through formatter edge cases [REDACTED].\", signal)\n await wait(50, signal)\n await emitBash(state, signal)\n emitWrite(state)\n emitEdit(state)\n emitPatch(state)\n emitTask(state)\n emitQuestionTool(state)\n emitError(state, \"demo mixed scenario error\")\n return true\n }\n\n return false\n}\n\nfunction intro(state: State): void {\n note(\n state.footer,\n [\n \"Demo slash commands enabled for interactive mode.\",\n `- /permission [kind] (${PERMISSIONS.join(\", \")})`,\n `- /form [kind] (${FORMS.join(\", \")})`,\n `- /fmt <kind> (${KINDS.join(\", \")})`,\n \"Examples:\",\n \"- /permission shell\",\n \"- /form question\",\n \"- /form external\",\n \"- /fmt markdown\",\n \"- /fmt table\",\n \"- /fmt text your custom text\",\n ].join(\"\\n\"),\n )\n}\n\nexport function createRunDemo(input: Input) {\n const state: State = {\n id: input.sessionID,\n thinking: input.thinking,\n footer: input.footer,\n msg: 0,\n part: 0,\n call: 0,\n perm: 0,\n form: 0,\n perms: new Map(),\n forms: new Map(),\n started: new Set(),\n }\n\n const start = async (): Promise<void> => {\n intro(state)\n }\n\n const prompt = async (line: RunPrompt, signal?: AbortSignal): Promise<boolean> => {\n const text = line.text.trim()\n const head = parseSlashHead(text)\n const list = head?.arguments.split(/\\s+/).filter(Boolean) ?? []\n const cmd = head ? `/${head.name}` : \"\"\n\n clearSubagent(state.footer)\n\n if (cmd === \"/help\") {\n intro(state)\n return true\n }\n\n if (cmd === \"/permission\") {\n const kind = permissionKind(list[0])\n if (!kind) {\n note(state.footer, `Pick a permission kind: ${PERMISSIONS.join(\", \")}`)\n return true\n }\n\n emitPermission(state, kind)\n return true\n }\n\n if (cmd === \"/form\") {\n const kind = formKind(list[0])\n if (!kind) {\n note(state.footer, `Pick a form kind: ${FORMS.join(\", \")}`)\n return true\n }\n\n emitForm(state, kind)\n return true\n }\n\n if (cmd === \"/fmt\") {\n const kind = (list[0] || \"\").toLowerCase()\n const body = list.slice(1).join(\" \")\n if (!kind) {\n note(state.footer, `Pick a kind: ${KINDS.join(\", \")}`)\n return true\n }\n\n const ok = await emitFmt(state, kind, body, signal)\n if (ok) {\n return true\n }\n\n note(state.footer, `Unknown kind \"${kind}\". Use: ${KINDS.join(\", \")}`)\n return true\n }\n\n return false\n }\n\n const permission = (input: PermissionReply): boolean => {\n const item = state.perms.get(input.requestID)\n if (!item || !input.reply) {\n return false\n }\n\n state.perms.delete(input.requestID)\n clearBlocker(state)\n\n if (input.reply === \"reject\") {\n failTool(state, item.ref, input.message || \"permission rejected\")\n return true\n }\n\n doneTool(state, item.ref, item.done)\n return true\n }\n\n const formReply = (input: FormReply): boolean => {\n const form = state.forms.get(input.formID)\n if (!form || input.sessionID !== form.request.sessionID) return false\n state.forms.delete(input.formID)\n clearBlocker(state)\n if (form.kind === \"question\") {\n doneTool(state, form.ref, {\n output: \"\",\n metadata: {\n answers: form.request.fields.map((field) => {\n const value = input.answer[field.key]\n if (value === undefined) return []\n return Array.isArray(value) ? [...value] : [String(value)]\n }),\n },\n })\n return true\n }\n doneTool(state, form.ref, {\n output: `Form submitted: ${Object.entries(input.answer)\n .map(([key, value]) => `${key}=${Array.isArray(value) ? value.join(\", \") : String(value)}`)\n .join(\"; \")}\\n`,\n metadata: { answer: input.answer },\n })\n return true\n }\n\n const formCancel = (input: FormCancel): boolean => {\n const form = state.forms.get(input.formID)\n if (!form || input.sessionID !== form.request.sessionID) return false\n state.forms.delete(input.formID)\n clearBlocker(state)\n failTool(state, form.ref, \"form cancelled\")\n return true\n }\n\n return {\n start,\n prompt,\n permission,\n formReply,\n formCancel,\n }\n}\n" | ||
| ], | ||
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| ||
| "debugId": "B7B82006D69A219164756E2164756E21", | ||
| "names": [] | ||
| } |
| { | ||
| "version": 3, | ||
| "sources": ["../core/src/workspace/driver.ts", "../core/src/workspace/sql.ts", "../core/src/workspace.ts", "../core/src/environment/files.ts", "../core/src/environment/exec-defaults.ts", "../core/src/environment/local.ts", "../core/src/environment/memory.ts", "../core/src/environment/environment.ts", "../core/src/environment/index.ts"], | ||
| "sourcesContent": [ | ||
| "export * as WorkspaceDriver from \"./driver.js\"\n\nimport { Workspace } from \"@opencode-ai/schema/workspace\"\nimport { makeGlobalNode } from \"@opencode-ai/util/effect/app-node\"\nimport { Context, Effect, Layer, Schema } from \"effect\"\nimport type { Scope } from \"effect\"\nimport type { Driver as EnvironmentDriver } from \"../environment/driver.js\"\n\n/**\n * Smallest provider-owned JSON value required to reconnect to the same\n * provider resource. Core stores it opaquely and hands it back; only the\n * owning driver reads inside.\n */\nexport const Binding = Schema.Record(Schema.String, Schema.Json)\nexport type Binding = typeof Binding.Type\n\nexport class Error extends Schema.TaggedError<Error>()(\"WorkspaceDriver.Error\", {\n message: Schema.optional(Schema.String),\n cause: Schema.optional(Schema.Defect()),\n}) {}\n\nexport class ProviderNotFound extends Schema.TaggedError<ProviderNotFound>()(\"WorkspaceDriver.ProviderNotFound\", {\n provider: Schema.String,\n}) {}\n\nexport interface Interface {\n readonly create: (input: {\n readonly workspaceID: Workspace.ID\n }) => Effect.Effect<{ readonly binding: Binding }, Error>\n readonly connect: (input: {\n readonly workspaceID: Workspace.ID\n readonly binding: Binding\n readonly saveBinding: (binding: Binding) => Effect.Effect<void>\n }) => Effect.Effect<EnvironmentDriver, Error, Scope.Scope>\n readonly suspendForIdle: (input: {\n readonly workspaceID: Workspace.ID\n readonly binding: Binding\n readonly saveBinding: (binding: Binding) => Effect.Effect<void>\n }) => Effect.Effect<void, Error>\n readonly destroy: (input: {\n readonly workspaceID: Workspace.ID\n readonly binding: Binding\n }) => Effect.Effect<void, Error>\n}\n\nexport const make = (driver: Interface) => driver\n\nexport interface Registry {\n readonly get: (provider: string) => Effect.Effect<Interface, ProviderNotFound>\n}\n\nexport class RegistryService extends Context.Service<RegistryService, Registry>()(\n \"@opencode/WorkspaceDriverRegistry\",\n) {}\n\nexport const registry = (drivers: Readonly<Record<string, Interface>>): Registry => ({\n get: (provider) => {\n const driver = Object.hasOwn(drivers, provider) ? drivers[provider] : undefined\n return driver ? Effect.succeed(driver) : Effect.fail(new ProviderNotFound({ provider }))\n },\n})\n\nexport const registryNode = (drivers: Readonly<Record<string, Interface>>) =>\n makeGlobalNode({\n service: RegistryService,\n layer: Layer.succeed(RegistryService, RegistryService.of(registry(drivers))),\n deps: [],\n })\n\nexport const node = registryNode({})\n", | ||
| "import { Workspace } from \"@opencode-ai/schema/workspace\"\nimport { integer, sqliteTable, text } from \"drizzle-orm/sqlite-core\"\nimport type { WorkspaceDriver } from \"./driver.js\"\n\nexport const WorkspaceTable = sqliteTable(\"workspace\", {\n id: text().$type<Workspace.ID>().primaryKey(),\n provider: text().notNull(),\n binding: text({ mode: \"json\" }).$type<WorkspaceDriver.Binding>().notNull(),\n created_at: integer().notNull(),\n last_used_at: integer().notNull(),\n})\n", | ||
| "export * as Workspace from \"./workspace.js\"\n\nimport { Workspace } from \"@opencode-ai/schema/workspace\"\nimport { makeGlobalNode } from \"@opencode-ai/util/effect/app-node\"\nimport { eq } from \"drizzle-orm\"\nimport { Clock, Context, Duration, Effect, Exit, Layer, Ref, Schedule, Schema, Scope } from \"effect\"\nimport { systemError } from \"effect/PlatformError\"\nimport { make } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Driver as EnvironmentDriver } from \"./environment/driver.js\"\nimport { Database } from \"./database/database.js\"\nimport { KeyedMutex } from \"./effect/keyed-mutex.js\"\nimport { WorkspaceDriver } from \"./workspace/driver.js\"\nimport { WorkspaceTable } from \"./workspace/sql.js\"\n\nexport const ID = Workspace.ID\nexport type ID = Workspace.ID\n\nexport class Info extends Schema.Class<Info>(\"Workspace.Info\")({\n id: ID,\n provider: Schema.String,\n binding: WorkspaceDriver.Binding,\n createdAt: Schema.Number,\n lastUsedAt: Schema.Number,\n}) {}\n\nexport class NotFound extends Schema.TaggedError<NotFound>()(\"Workspace.NotFound\", { workspaceID: ID }) {}\n\nexport interface Interface {\n readonly create: (provider: string) => Effect.Effect<Info, WorkspaceDriver.Error | WorkspaceDriver.ProviderNotFound>\n readonly connect: (\n workspaceID: ID,\n ) => Effect.Effect<EnvironmentDriver, NotFound | WorkspaceDriver.Error | WorkspaceDriver.ProviderNotFound>\n readonly destroy: (\n workspaceID: ID,\n ) => Effect.Effect<void, NotFound | WorkspaceDriver.Error | WorkspaceDriver.ProviderNotFound>\n}\n\nexport interface Options {\n readonly idleThreshold?: Duration.Input\n readonly pollInterval?: Duration.Input\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/Workspace\") {}\n\ninterface Connection {\n readonly driver: WorkspaceDriver.Interface\n readonly environment: EnvironmentDriver\n readonly saveBinding: (binding: WorkspaceDriver.Binding) => Effect.Effect<void>\n readonly lastActivity: Ref.Ref<number>\n readonly active: Ref.Ref<number>\n readonly scope: Scope.Closeable\n}\n\nexport const configured = (options: Options = {}) =>\n makeGlobalNode({\n service: Service,\n layer: layer(options),\n deps: [Database.node, WorkspaceDriver.node],\n })\n\nconst layer = (options: Options) =>\n Layer.effect(\n Service,\n Effect.gen(function* () {\n const db = (yield* Database.Service).db\n const registry = yield* WorkspaceDriver.RegistryService\n const lifetime = yield* Scope.Scope\n const connections = new Map<ID, Connection>()\n const locks = KeyedMutex.makeUnsafe<ID>()\n const idleThreshold = Duration.toMillis(options.idleThreshold ?? Duration.minutes(20))\n\n const load = Effect.fn(\"Workspace.load\")(function* (workspaceID: ID) {\n const row = yield* db\n .select()\n .from(WorkspaceTable)\n .where(eq(WorkspaceTable.id, workspaceID))\n .get()\n .pipe(Effect.orDie)\n if (!row) return yield* new NotFound({ workspaceID })\n return row\n })\n\n const open = Effect.fn(\"Workspace.open\")(function* (workspaceID: ID) {\n const existing = connections.get(workspaceID)\n if (existing) return existing\n\n const row = yield* load(workspaceID)\n const driver = yield* registry.get(row.provider)\n const saveBinding = (value: WorkspaceDriver.Binding) =>\n db\n .update(WorkspaceTable)\n .set({ binding: value })\n .where(eq(WorkspaceTable.id, workspaceID))\n .run()\n .pipe(Effect.orDie)\n const scope = yield* Scope.fork(lifetime)\n const environment = yield* driver.connect({ workspaceID, binding: row.binding, saveBinding }).pipe(\n Effect.provideService(Scope.Scope, scope),\n Effect.onError((cause) => Scope.close(scope, Exit.failCause(cause))),\n )\n const now = yield* Clock.currentTimeMillis\n const connection: Connection = {\n driver,\n environment,\n saveBinding,\n lastActivity: yield* Ref.make(now),\n active: yield* Ref.make(0),\n scope,\n }\n connections.set(workspaceID, connection)\n yield* db\n .update(WorkspaceTable)\n .set({ last_used_at: now })\n .where(eq(WorkspaceTable.id, workspaceID))\n .run()\n .pipe(Effect.orDie)\n return connection\n })\n\n yield* Effect.gen(function* () {\n const now = yield* Clock.currentTimeMillis\n yield* Effect.forEach(\n [...connections.entries()],\n ([workspaceID, expected]) =>\n locks.withLock(workspaceID)(\n Effect.gen(function* () {\n const connection = connections.get(workspaceID)\n if (connection !== expected || (yield* Ref.get(connection.active)) > 0) return\n const lastActivity = yield* Ref.get(connection.lastActivity)\n if (now - lastActivity < idleThreshold) return\n const row = yield* load(workspaceID)\n // Deliberate: a racing spawn blocks, then wakes cleanly. Unlocking mid-suspend could reattach a sandbox being terminated.\n yield* connection.driver.suspendForIdle({\n workspaceID,\n binding: row.binding,\n saveBinding: connection.saveBinding,\n })\n yield* db\n .update(WorkspaceTable)\n .set({ last_used_at: lastActivity })\n .where(eq(WorkspaceTable.id, workspaceID))\n .run()\n .pipe(Effect.orDie)\n connections.delete(workspaceID)\n yield* Scope.close(connection.scope, Exit.void)\n }).pipe(Effect.catchCause((cause) => Effect.logError(\"workspace idle suspension failed\", cause))),\n ),\n { concurrency: \"unbounded\", discard: true },\n )\n }).pipe(Effect.repeat(Schedule.spaced(options.pollInterval ?? Duration.minutes(1))), Effect.forkScoped)\n\n return Service.of({\n create: Effect.fn(\"Workspace.create\")(function* (provider) {\n const driver = yield* registry.get(provider)\n const workspaceID = ID.create()\n const result = yield* driver.create({ workspaceID })\n const now = yield* Clock.currentTimeMillis\n yield* db\n .insert(WorkspaceTable)\n .values({ id: workspaceID, provider, binding: result.binding, created_at: now, last_used_at: now })\n .run()\n .pipe(Effect.orDie)\n return new Info({ id: workspaceID, provider, binding: result.binding, createdAt: now, lastUsedAt: now })\n }),\n connect: Effect.fn(\"Workspace.connect\")(function* (workspaceID) {\n const spawner = make((command) =>\n Effect.acquireRelease(\n locks.withLock(workspaceID)(\n Effect.gen(function* () {\n const connection = yield* open(workspaceID).pipe(\n Effect.mapError((cause) =>\n systemError({\n _tag: \"Unknown\",\n module: \"Workspace\",\n method: \"spawn\",\n description: `Failed to wake workspace ${workspaceID}`,\n cause,\n }),\n ),\n )\n yield* Ref.set(connection.lastActivity, yield* Clock.currentTimeMillis)\n yield* Ref.update(connection.active, (active) => active + 1)\n return connection\n }),\n ),\n (connection) =>\n locks.withLock(workspaceID)(\n Effect.gen(function* () {\n yield* Ref.update(connection.active, (active) => active - 1)\n yield* Ref.set(connection.lastActivity, yield* Clock.currentTimeMillis)\n }),\n ),\n ).pipe(Effect.flatMap((connection) => connection.environment.spawner.spawn(command))),\n )\n // Overrides are connection-bound; per-spawn routing is required before any driver ships them, so they are deliberately omitted.\n return { spawner }\n }),\n destroy: Effect.fn(\"Workspace.destroy\")(function* (workspaceID) {\n yield* locks.withLock(workspaceID)(\n Effect.gen(function* () {\n const row = yield* load(workspaceID)\n const connection = connections.get(workspaceID)\n connections.delete(workspaceID)\n if (connection) yield* Scope.close(connection.scope, Exit.void)\n const driver = yield* registry.get(row.provider)\n yield* driver.destroy({ workspaceID, binding: row.binding })\n yield* db.delete(WorkspaceTable).where(eq(WorkspaceTable.id, workspaceID)).run().pipe(Effect.orDie)\n }),\n )\n }),\n })\n }),\n )\n\nexport const node = configured()\n\n// TODO(workspace-plan): add the boot janitor and ~23h safety snapshot rotation in a later PR.\n// TODO(workspace-plan): make cold wake interruptible with a re-pin loop against janitor races.\n// TODO(workspace-plan): consider RcMap at end-of-series consolidation; idle suspend and destroy need distinct finalizers.\n", | ||
| "import { Effect, Schema } from \"effect\"\n\nexport const FileType = Schema.Literals([\"file\", \"directory\", \"symlink\", \"other\"])\nexport type FileType = typeof FileType.Type\n\nexport interface FileInfo {\n readonly type: FileType\n readonly size: number\n readonly mtimeMs: number\n}\n\nexport interface DirEntry {\n readonly name: string\n readonly type: FileType\n}\n\nexport class NotFound extends Schema.TaggedError<NotFound>()(\"Environment.NotFound\", {\n path: Schema.String,\n}) {}\n\nexport class WrongKind extends Schema.TaggedError<WrongKind>()(\"Environment.WrongKind\", {\n path: Schema.String,\n actual: FileType,\n}) {}\n\nexport class Failed extends Schema.TaggedError<Failed>()(\"Environment.Failed\", {\n path: Schema.String,\n cause: Schema.Defect(),\n}) {}\n\nexport interface FilesImpl {\n /**\n * Content operations (`read`, `list`) follow final symlinks; metadata operations (`stat` and entry\n * tags returned by `list`) do not. `info` describes the target file whose bytes are returned.\n * The process-backed default caps collected output at 64 MiB; larger whole-file reads fail with\n * `Failed`, so callers must use ranges for larger files.\n */\n readonly read: (\n path: string,\n range?: { readonly offset: number; readonly length: number },\n ) => Effect.Effect<{ readonly info: FileInfo; readonly bytes: Uint8Array }, NotFound | WrongKind | Failed>\n readonly write: (path: string, bytes: Uint8Array) => Effect.Effect<void, Failed>\n /** Describes the path entry itself, so a final symlink is reported as `symlink` rather than followed. */\n readonly stat: (path: string) => Effect.Effect<FileInfo, NotFound | Failed>\n /** Follows a final symlink to the listed directory while preserving each returned entry's own type. */\n readonly list: (path: string) => Effect.Effect<ReadonlyArray<DirEntry>, NotFound | WrongKind | Failed>\n readonly remove: (path: string) => Effect.Effect<void, Failed>\n readonly move: (from: string, to: string) => Effect.Effect<void, NotFound | Failed>\n readonly mkdir: (path: string) => Effect.Effect<void, Failed>\n}\n\nexport interface Files extends FilesImpl {}\n\n/**\n * Derives a follow-stat kind from the lstat-like Files contract. A dangling\n * symlink fails with `NotFound`.\n */\nexport const typeFollowing = (files: Files, path: string) =>\n files.stat(path).pipe(\n Effect.flatMap((info) =>\n info.type === \"symlink\"\n ? files.read(path, { offset: 0, length: 0 }).pipe(\n Effect.map((result) => result.info.type),\n Effect.catchTag(\"Environment.WrongKind\", (error) => Effect.succeed(error.actual)),\n )\n : Effect.succeed(info.type),\n ),\n )\n\nexport * as EnvironmentFiles from \"./files.js\"\n", | ||
| "import { Effect, Stream } from \"effect\"\nimport { ChildProcess } from \"effect/unstable/process\"\nimport type { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport { collectStream } from \"@opencode-ai/util/process\"\nimport { Failed, NotFound, WrongKind, type FileInfo, type FileType, type FilesImpl } from \"./files.js\"\n\n/**\n * Files derived from spawning processes: one process per intent, \"$1\" is\n * always the target path. Scripts report classification through an exit-code\n * protocol (44/45/46) so failures never require parsing localized error text;\n * LC_ALL=C pins the one stderr match that remains. Requires GNU coreutils and\n * findutils in the target image — BSD and busybox userlands will not work.\n * Malformed output from these scripts is our own bug and dies as a defect.\n */\n\nconst MAX_DATA_BYTES = 64 * 1024 * 1024\nconst MAX_ERROR_BYTES = 64 * 1024\nconst NOT_FOUND = 44\nconst WRONG_KIND = 45\nconst FAILED = 46\nconst TAB = \"\\t\"\n\nconst loadMetadata = (flags = \"\") => `\nmetadata=$(stat ${flags} -c '%F${TAB}%s${TAB}%Y' -- \"$1\" 2>&1) || {\n case \"$metadata\" in\n *'No such file or directory'*|*'Not a directory'*) exit ${NOT_FOUND} ;;\n *) printf '%s' \"$metadata\" >&2; exit ${FAILED} ;;\n esac\n}\n`\n\nconst statScript = `\n${loadMetadata()}\nprintf '%s\\n' \"$metadata\"\n`\n\nconst readScript = `\n${loadMetadata(\"-L\")}\nkind=\\${metadata%%${TAB}*}\nif [ \"$kind\" != 'regular file' ] && [ \"$kind\" != 'regular empty file' ]; then\n printf '%s' \"$kind\" >&2\n exit ${WRONG_KIND}\nfi\nprintf '%s\\n' \"$metadata\"\nif [ \"$2\" = range ]; then\n dd if=\"$1\" iflag=skip_bytes,count_bytes skip=\"$3\" count=\"$4\" status=none\nelse\n cat -- \"$1\"\nfi\n`\n\nconst listScript = `\n${loadMetadata(\"-L\")}\nkind=\\${metadata%%${TAB}*}\nif [ \"$kind\" != directory ]; then\n printf '%s' \"$kind\" >&2\n exit ${WRONG_KIND}\nfi\nfind -H \"$1\" -mindepth 1 -maxdepth 1 -printf '%y\\\\0%f\\\\0'\n`\n\nconst moveScript = `\n${loadMetadata()}\nmv -- \"$1\" \"$2\"\n`\n\ninterface Result {\n readonly exitCode: number\n readonly stdout: Uint8Array\n readonly stderr: Uint8Array\n}\n\nexport const execDefaults = (spawner: ChildProcessSpawner[\"Service\"]): FilesImpl => {\n const run = (\n path: string,\n script: string,\n args: ReadonlyArray<string> = [],\n stdin?: Uint8Array,\n ): Effect.Effect<Result, Failed> =>\n Effect.scoped(\n Effect.gen(function* () {\n const command = ChildProcess.make(\"sh\", [\"-c\", script, \"sh\", path, ...args], {\n env: { LC_ALL: \"C\" },\n extendEnv: true,\n stdin: stdin === undefined ? undefined : Stream.make(stdin),\n })\n const handle = yield* spawner.spawn(command).pipe(Effect.mapError((cause) => new Failed({ path, cause })))\n const [stdout, stderr, exitCode] = yield* Effect.all(\n [\n collectStream(handle.stdout, MAX_DATA_BYTES),\n collectStream(handle.stderr, MAX_ERROR_BYTES),\n handle.exitCode,\n ],\n { concurrency: \"unbounded\" },\n ).pipe(Effect.mapError((cause) => new Failed({ path, cause })))\n if (stdout.truncated || stderr.truncated) {\n return yield* new Failed({ path, cause: new Error(\"Process output exceeded its collection limit\") })\n }\n return { exitCode, stdout: stdout.buffer, stderr: stderr.buffer }\n }),\n )\n\n const classify = <A>(\n path: string,\n result: Result,\n success: (stdout: Uint8Array) => A,\n ): Effect.Effect<A, NotFound | WrongKind | Failed> => {\n if (result.exitCode === 0) return Effect.sync(() => success(result.stdout))\n if (result.exitCode === NOT_FOUND) return Effect.fail(new NotFound({ path }))\n if (result.exitCode === WRONG_KIND) {\n return Effect.fail(new WrongKind({ path, actual: parseType(new TextDecoder().decode(result.stderr)) }))\n }\n return Effect.fail(processFailure(path, result))\n }\n\n const complete = (path: string, result: Result) =>\n result.exitCode === 0 ? Effect.void : Effect.fail(processFailure(path, result))\n\n return {\n stat: (path) => run(path, statScript).pipe(Effect.flatMap((result) => classifyPlain(path, result, parseInfo))),\n read: (path, range) =>\n run(\n path,\n readScript,\n range === undefined ? [\"whole\"] : [\"range\", String(range.offset), String(range.length)],\n ).pipe(\n Effect.flatMap((result) =>\n classify(path, result, (stdout) => {\n const newline = stdout.indexOf(10)\n if (newline < 0) throw new Error(\"Missing read metadata header\")\n return {\n info: parseInfo(stdout.slice(0, newline)),\n bytes: stdout.slice(newline + 1),\n }\n }),\n ),\n ),\n write: (path, bytes) =>\n run(path, `mkdir -p \"$(dirname \"$1\")\" && cat > \"$1\"`, [], bytes).pipe(\n Effect.flatMap((result) => complete(path, result)),\n ),\n list: (path) => run(path, listScript).pipe(Effect.flatMap((result) => classify(path, result, parseList))),\n remove: (path) => run(path, `rm -rf -- \"$1\"`).pipe(Effect.flatMap((result) => complete(path, result))),\n move: (from, to) =>\n run(from, moveScript, [to]).pipe(Effect.flatMap((result) => classifyPlain(from, result, () => undefined))),\n mkdir: (path) => run(path, `mkdir -p -- \"$1\"`).pipe(Effect.flatMap((result) => complete(path, result))),\n }\n}\n\n/** `classify` for scripts whose protocol never reports WrongKind. */\nconst classifyPlain = <A>(\n path: string,\n result: Result,\n success: (stdout: Uint8Array) => A,\n): Effect.Effect<A, NotFound | Failed> => {\n if (result.exitCode === 0) return Effect.sync(() => success(result.stdout))\n if (result.exitCode === NOT_FOUND) return Effect.fail(new NotFound({ path }))\n return Effect.fail(processFailure(path, result))\n}\n\nconst processFailure = (path: string, result: Result) =>\n new Failed({\n path,\n cause: new Error(new TextDecoder().decode(result.stderr).trim() || `Process exited with code ${result.exitCode}`),\n })\n\nconst parseInfo = (bytes: Uint8Array): FileInfo => {\n const [rawType, rawSize, rawMtime] = new TextDecoder().decode(bytes).trim().split(TAB)\n const size = Number(rawSize)\n const mtimeMs = Number(rawMtime) * 1_000\n if (!rawType || !Number.isFinite(size) || !Number.isFinite(mtimeMs)) throw new Error(\"Invalid stat output\")\n return { type: parseType(rawType), size, mtimeMs }\n}\n\nconst parseType = (value: string): FileType => {\n if (value === \"regular file\" || value === \"regular empty file\" || value === \"f\") return \"file\"\n if (value === \"directory\" || value === \"d\") return \"directory\"\n if (value === \"symbolic link\" || value === \"l\") return \"symlink\"\n return \"other\"\n}\n\nconst parseList = (bytes: Uint8Array) => {\n const fields = new TextDecoder().decode(bytes).split(\"\\0\")\n fields.pop()\n if (fields.length % 2 !== 0) throw new Error(\"Invalid find output\")\n return Array.from({ length: fields.length / 2 }, (_, index) => ({\n name: fields[index * 2 + 1],\n type: parseType(fields[index * 2]),\n }))\n}\n\nexport * as EnvironmentExecDefaults from \"./exec-defaults.js\"\n", | ||
| "import fs from \"node:fs/promises\"\nimport path from \"node:path\"\nimport { Effect } from \"effect\"\nimport type { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Driver } from \"./driver.js\"\nimport { Failed, NotFound, WrongKind, type FileInfo, type FilesImpl, type FileType } from \"./files.js\"\n\n/**\n * The host filesystem binding. Deliberately raw node:fs rather than effect's\n * FileSystem service or FSUtil: the contract needs lstat semantics (stat\n * reports \"symlink\") and typed directory entries, and effect's node\n * FileSystem provides neither — its stat always follows symlinks and\n * readDirectory returns names only. FSUtil hits the same gap and its\n * readDirectoryEntries already bypasses to raw node readdir internally.\n * Nothing above the environment seam touches node:fs.\n */\nexport const makeLocalDriver = (spawner: ChildProcessSpawner[\"Service\"]): Driver => {\n const overrides: FilesImpl = {\n read: (value, range) =>\n Effect.gen(function* () {\n const info = yield* stat(value, true)\n if (info.type !== \"file\") return yield* new WrongKind({ path: value, actual: info.type })\n if (range === undefined) {\n const bytes = yield* attempt(value, () => fs.readFile(value), true)\n return { info, bytes }\n }\n const bytes = yield* attempt(\n value,\n async () => {\n const handle = await fs.open(value, \"r\")\n try {\n const buffer = new Uint8Array(range.length)\n const result = await handle.read(buffer, 0, range.length, range.offset)\n return buffer.subarray(0, result.bytesRead)\n } finally {\n await handle.close()\n }\n },\n true,\n )\n return { info, bytes }\n }),\n stat: (value) => stat(value, false),\n list: (value) =>\n Effect.gen(function* () {\n const info = yield* stat(value, true)\n if (info.type !== \"directory\") return yield* new WrongKind({ path: value, actual: info.type })\n const entries = yield* attempt(value, () => fs.readdir(value, { withFileTypes: true }), true)\n return entries.map((entry) => ({ name: entry.name, type: fileType(entry) }))\n }),\n write: (value, bytes) =>\n attempt(value, async () => {\n await fs.mkdir(path.dirname(value), { recursive: true })\n await fs.writeFile(value, bytes)\n }),\n remove: (value) => attempt(value, () => fs.rm(value, { recursive: true, force: true })),\n move: (from, to) =>\n Effect.gen(function* () {\n yield* stat(from, false)\n const destination = yield* stat(to, false).pipe(\n Effect.map((info) => (info.type === \"directory\" ? path.join(to, path.basename(from)) : to)),\n Effect.catchIf(\n (error) => error instanceof NotFound,\n () => Effect.succeed(to),\n ),\n )\n yield* attempt(from, () => fs.rename(from, destination))\n }),\n mkdir: (value) => attempt(value, () => fs.mkdir(value, { recursive: true }).then(() => undefined)),\n }\n\n return { spawner, overrides }\n}\n\nconst stat = (value: string, follow: boolean) =>\n attempt(value, () => (follow ? fs.stat(value) : fs.lstat(value)), true).pipe(\n Effect.map((stats): FileInfo => ({ type: fileType(stats), size: stats.size, mtimeMs: stats.mtimeMs })),\n )\n\nconst fileType = (entry: { isFile(): boolean; isDirectory(): boolean; isSymbolicLink(): boolean }): FileType => {\n if (entry.isFile()) return \"file\"\n if (entry.isDirectory()) return \"directory\"\n if (entry.isSymbolicLink()) return \"symlink\"\n return \"other\"\n}\n\nfunction attempt<A>(value: string, run: () => Promise<A>): Effect.Effect<A, Failed>\nfunction attempt<A>(value: string, run: () => Promise<A>, missing: true): Effect.Effect<A, NotFound | Failed>\nfunction attempt<A>(value: string, run: () => Promise<A>, missing = false) {\n return Effect.tryPromise({\n try: run,\n catch: (cause) =>\n missing && isMissing(cause) ? new NotFound({ path: value }) : new Failed({ path: value, cause }),\n })\n}\n\nconst isMissing = (cause: unknown) =>\n cause !== null &&\n typeof cause === \"object\" &&\n \"code\" in cause &&\n (cause.code === \"ENOENT\" || cause.code === \"ENOTDIR\")\n\nexport * as EnvironmentLocal from \"./local.js\"\n", | ||
| "import path from \"node:path\"\nimport { Effect, PlatformError } from \"effect\"\nimport { make } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Driver } from \"./driver.js\"\nimport { Failed, NotFound, WrongKind, type FileInfo, type FilesImpl, type FileType } from \"./files.js\"\n\ntype Node =\n | { readonly type: \"file\"; readonly bytes: Uint8Array; readonly mtimeMs: number }\n | { readonly type: \"directory\"; readonly mtimeMs: number }\n | { readonly type: \"symlink\"; readonly target: string; readonly mtimeMs: number }\n\nexport interface MemoryDriver extends Driver {\n readonly symlink: (target: string, path: string) => Effect.Effect<void, Failed>\n}\n\nexport const makeMemoryDriver = (): MemoryDriver => {\n const nodes = new Map<string, Node>([[\"/\", { type: \"directory\", mtimeMs: Date.now() }]])\n const key = (value: string) => path.posix.resolve(\"/\", value)\n const info = (node: Node): FileInfo => ({\n type: node.type,\n size:\n node.type === \"file\"\n ? node.bytes.length\n : node.type === \"symlink\"\n ? new TextEncoder().encode(node.target).length\n : 0,\n mtimeMs: node.mtimeMs,\n })\n const resolveKey = (value: string, followFinal: boolean, seen = new Set<string>()): string | undefined => {\n const normalized = key(value)\n const parts = normalized.split(\"/\").filter(Boolean)\n const base = \"/\"\n const walk = (current: string, index: number): string | undefined => {\n if (index === parts.length) return current\n const part = parts[index]\n const candidate = path.posix.join(current, part)\n const node = nodes.get(candidate)\n if (node?.type !== \"symlink\" || (!followFinal && index === parts.length - 1)) return walk(candidate, index + 1)\n if (seen.has(candidate)) return undefined\n seen.add(candidate)\n const target = path.posix.resolve(path.posix.dirname(candidate), node.target)\n return resolveKey(path.posix.join(target, ...parts.slice(index + 1)), followFinal, seen)\n }\n return walk(base, 0)\n }\n const lookup = (value: string) => nodes.get(resolveKey(value, false) ?? key(value))\n const requireParent = (value: string) => {\n const parentPath = path.posix.dirname(key(value))\n const parent = nodes.get(resolveKey(parentPath, true) ?? parentPath)\n if (!parent) throw new Error(`Parent directory does not exist: ${path.posix.dirname(value)}`)\n if (parent.type !== \"directory\") throw new Error(`Parent is not a directory: ${path.posix.dirname(value)}`)\n }\n const mkdirSync = (value: string) => {\n const target = resolveKey(value, false) ?? key(value)\n const existing = nodes.get(target)\n if (existing?.type === \"directory\") return\n if (existing) throw new Error(`Path is not a directory: ${value}`)\n const parent = path.posix.dirname(target)\n if (parent !== target) mkdirSync(parent)\n nodes.set(target, { type: \"directory\", mtimeMs: Date.now() })\n }\n const failed = (value: string, cause: unknown) => new Failed({ path: value, cause })\n const overrides: FilesImpl = {\n stat: (value) => {\n const node = lookup(value)\n return node ? Effect.succeed(info(node)) : Effect.fail(new NotFound({ path: value }))\n },\n read: (value, range) => {\n const original = lookup(value)\n if (!original) return Effect.fail(new NotFound({ path: value }))\n if (original.type === \"directory\") return Effect.fail(new WrongKind({ path: value, actual: \"directory\" }))\n const resolved = resolveKey(value, true)\n const node = resolved === undefined ? undefined : nodes.get(resolved)\n if (!node) return Effect.fail(new NotFound({ path: value }))\n if (node.type !== \"file\") return Effect.fail(new WrongKind({ path: value, actual: node.type }))\n const bytes = range === undefined ? node.bytes : node.bytes.subarray(range.offset, range.offset + range.length)\n return Effect.succeed({ info: info(node), bytes: bytes.slice() })\n },\n write: (value, bytes) =>\n Effect.try({\n try: () => {\n mkdirSync(path.posix.dirname(key(value)))\n const existing = lookup(value)\n if (existing?.type === \"directory\") throw new Error(`Path is a directory: ${value}`)\n const target = existing?.type === \"symlink\" ? resolveKey(value, true) : resolveKey(value, false)\n if (!target) throw new Error(`Cannot resolve symlink: ${value}`)\n requireParent(target)\n nodes.set(target, { type: \"file\", bytes: bytes.slice(), mtimeMs: Date.now() })\n },\n catch: (cause) => failed(value, cause),\n }),\n list: (value) => {\n const target = resolveKey(value, true) ?? key(value)\n const node = nodes.get(target)\n if (!node) return Effect.fail(new NotFound({ path: value }))\n if (node.type !== \"directory\") return Effect.fail(new WrongKind({ path: value, actual: node.type }))\n const entries = [...nodes.entries()]\n .filter(([entry]) => entry !== target && path.posix.dirname(entry) === target)\n .map(([entry, child]) => ({ name: path.posix.basename(entry), type: child.type satisfies FileType }))\n .sort((a, b) => a.name.localeCompare(b.name))\n return Effect.succeed(entries)\n },\n remove: (value) =>\n Effect.sync(() => {\n const target = resolveKey(value, false) ?? key(value)\n for (const entry of nodes.keys()) {\n if (entry === target || entry.startsWith(`${target}/`)) nodes.delete(entry)\n }\n }),\n move: (from, to) => {\n const source = resolveKey(from, false) ?? key(from)\n const node = nodes.get(source)\n if (!node) return Effect.fail(new NotFound({ path: from }))\n return Effect.try({\n try: () => {\n const requested = resolveKey(to, false) ?? key(to)\n const destination =\n nodes.get(requested)?.type === \"directory\"\n ? path.posix.join(requested, path.posix.basename(source))\n : requested\n if (node.type === \"directory\" && destination.startsWith(`${source}/`)) {\n throw new Error(`Cannot move a directory into itself: ${from}`)\n }\n const existing = nodes.get(destination)\n if (node.type === \"directory\" && existing && existing.type !== \"directory\") {\n throw new Error(`Cannot overwrite a non-directory with a directory: ${to}`)\n }\n requireParent(destination)\n const moved = [...nodes.entries()].filter(([entry]) => entry === source || entry.startsWith(`${source}/`))\n for (const [entry] of moved) nodes.delete(entry)\n for (const [entry, child] of moved) nodes.set(`${destination}${entry.slice(source.length)}`, child)\n },\n catch: (cause) => failed(from, cause),\n })\n },\n mkdir: (value) => Effect.try({ try: () => mkdirSync(value), catch: (cause) => failed(value, cause) }),\n }\n\n const spawner = make((command) =>\n Effect.suspend(() => {\n const description = command._tag === \"StandardCommand\" ? command.command : \"pipeline\"\n return Effect.fail(\n PlatformError.systemError({\n _tag: \"Unknown\",\n module: \"EnvironmentMemory\",\n method: \"spawn\",\n pathOrDescriptor: description,\n cause: failed(description, new Error(\"The memory driver cannot spawn processes\")),\n }),\n )\n }),\n )\n\n return {\n spawner,\n overrides,\n symlink: (target, value) =>\n Effect.try({\n try: () => {\n requireParent(value)\n nodes.set(resolveKey(value, false) ?? key(value), { type: \"symlink\", target, mtimeMs: Date.now() })\n },\n catch: (cause) => failed(value, cause),\n }),\n }\n}\n\nexport * as EnvironmentMemory from \"./memory.js\"\n", | ||
| "import { CrossSpawnSpawner } from \"@opencode-ai/util/cross-spawn-spawner\"\nimport { makeLocationNode } from \"@opencode-ai/util/effect/app-node\"\nimport { Context, Effect, Layer } from \"effect\"\nimport { ChildProcessSpawner } from \"effect/unstable/process/ChildProcessSpawner\"\nimport type { Files } from \"./files.js\"\nimport { makeFiles } from \"./index.js\"\nimport { makeLocalDriver } from \"./local.js\"\nimport { Location } from \"../location.js\"\nimport { Workspace } from \"../workspace.js\"\n\nexport interface Interface {\n readonly files: Files\n readonly spawner: ChildProcessSpawner[\"Service\"]\n}\n\nexport class Service extends Context.Service<Service, Interface>()(\"@opencode/Environment\") {}\n\nconst layer = Layer.effect(\n Service,\n Effect.gen(function* () {\n const spawner = yield* ChildProcessSpawner\n const location = yield* Location.Service\n const workspace = yield* Workspace.Service\n const driver = location.workspaceID\n ? yield* workspace.connect(location.workspaceID).pipe(\n // Environment has no error channel; an unknown or destroyed placement is a configuration defect by design.\n Effect.mapError(\n (cause) => new Error(`Failed to bind Environment to workspace ${location.workspaceID}`, { cause }),\n ),\n Effect.orDie,\n )\n : makeLocalDriver(spawner)\n return Service.of({ files: makeFiles(driver), spawner: driver.spawner })\n }),\n)\n\nexport const node = makeLocationNode({\n service: Service,\n layer,\n deps: [CrossSpawnSpawner.node, Location.node, Workspace.node],\n})\n\nexport * as EnvironmentService from \"./environment.js\"\n", | ||
| "export * as Environment from \"./index.js\"\n\nexport { type Driver } from \"./driver.js\"\nexport {\n type DirEntry,\n Failed,\n type FileInfo,\n type Files,\n type FilesImpl,\n type FileType,\n NotFound,\n typeFollowing,\n WrongKind,\n} from \"./files.js\"\nexport { execDefaults } from \"./exec-defaults.js\"\nexport { makeLocalDriver } from \"./local.js\"\nexport { makeMemoryDriver, type MemoryDriver } from \"./memory.js\"\nexport { type Interface, node, Service } from \"./environment.js\"\n\nimport type { Driver } from \"./driver.js\"\nimport { execDefaults } from \"./exec-defaults.js\"\nimport type { Files } from \"./files.js\"\n\nexport const makeFiles = (driver: Driver): Files => ({\n ...execDefaults(driver.spawner),\n ...driver.overrides,\n})\n" | ||
| ], | ||
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| ||
| "debugId": "B8652C3F022CBC7064756E2164756E21", | ||
| "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 \"../../../ui/prompt\"\n\nexport default Runtime.handler(Commands.commands.auth.commands.list, (input) =>\n list(input).pipe(\n Effect.catch((error) =>\n Effect.sync(() => {\n process.stderr.write(errorMessage(error) + EOL)\n process.exitCode = 1\n }),\n ),\n ),\n)\n\nconst list = Effect.fn(\"cli.auth.list\")(function* (input) {\n const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })\n const integrations = (yield* loadIntegrations(client)).filter((integration) => integration.connections.length > 0)\n if (input.format === \"json\") {\n process.stdout.write(\n JSON.stringify(\n integrations.map((integration) => ({\n id: integration.id,\n name: integration.name,\n connections: integration.connections,\n })),\n null,\n 2,\n ) + EOL,\n )\n return\n }\n const rows = integrations.flatMap((integration) =>\n integration.connections.map((connection) => ({\n integration: integration.name,\n source: connection.type === \"credential\" ? connection.label : connection.name,\n type: connection.type === \"credential\" ? \"stored\" : \"environment\",\n })),\n )\n if (rows.length === 0) {\n process.stdout.write(\"No authenticated integrations\" + EOL)\n return\n }\n const width = Math.max(...rows.map((row) => row.integration.length)) + 2\n process.stdout.write(\n rows.map((row) => row.integration.padEnd(width) + row.source.padEnd(28) + row.type).join(EOL) + EOL,\n )\n})\n" | ||
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| "debugId": "1F73C8265F97989864756E2164756E21", | ||
| "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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| } |
| { | ||
| "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": "CAB82E072995FE1C64756E2164756E21", | ||
| "names": [] | ||
| } |
Sorry, the diff of this file is not supported yet
No alert changes
Improved metrics
- Number of package files
304
1%Worsened metrics
- Total package byte prevSize
247243897
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