core: expose v2 model listing API (#25821)

packages/core/src/aisdk.ts

@@ -0,0 +1,172 @@
+export * as AISDK from "./aisdk"
+
+import type { LanguageModelV3 } from "@ai-sdk/provider"
+import { Cause, Context, Effect, Layer, Schema } from "effect"
+import { ModelV2 } from "./model"
+import { PluginV2 } from "./plugin"
+import { ProviderV2 } from "./provider"
+
+type SDK = any
+
+function wrapSSE(res: Response, ms: number, ctl: AbortController) {
+  if (typeof ms !== "number" || ms <= 0) return res
+  if (!res.body) return res
+  if (!res.headers.get("content-type")?.includes("text/event-stream")) return res
+
+  const reader = res.body.getReader()
+  const body = new ReadableStream<Uint8Array>({
+    async pull(ctrl) {
+      const part = await new Promise<Awaited<ReturnType<typeof reader.read>>>((resolve, reject) => {
+        const id = setTimeout(() => {
+          const err = new Error("SSE read timed out")
+          ctl.abort(err)
+          void reader.cancel(err)
+          reject(err)
+        }, ms)
+
+        reader.read().then(
+          (part) => {
+            clearTimeout(id)
+            resolve(part)
+          },
+          (err) => {
+            clearTimeout(id)
+            reject(err)
+          },
+        )
+      })
+
+      if (part.done) {
+        ctrl.close()
+        return
+      }
+
+      ctrl.enqueue(part.value)
+    },
+    async cancel(reason) {
+      ctl.abort(reason)
+      await reader.cancel(reason)
+    },
+  })
+
+  return new Response(body, {
+    headers: new Headers(res.headers),
+    status: res.status,
+    statusText: res.statusText,
+  })
+}
+
+function prepareOptions(model: ModelV2.Info, pkg: string) {
+  const options: Record<string, any> = { name: model.providerID, ...model.options.aisdk.provider }
+  if (model.endpoint.type === "aisdk" && model.endpoint.url) options.baseURL = model.endpoint.url
+
+  const customFetch = options.fetch
+  const chunkTimeout = options.chunkTimeout
+  delete options.chunkTimeout
+  options.fetch = async (input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+    const opts = { ...(init ?? {}) }
+    const signals = [
+      opts.signal,
+      typeof chunkTimeout === "number" && chunkTimeout > 0 ? new AbortController() : undefined,
+      options.timeout !== undefined && options.timeout !== null && options.timeout !== false
+        ? AbortSignal.timeout(options.timeout)
+        : undefined,
+    ].filter((item): item is AbortSignal | AbortController => Boolean(item))
+    const chunkAbortCtl = signals.find((item): item is AbortController => item instanceof AbortController)
+    const abortSignals = signals.map((item) => (item instanceof AbortController ? item.signal : item))
+    if (abortSignals.length === 1) opts.signal = abortSignals[0]
+    if (abortSignals.length > 1) opts.signal = AbortSignal.any(abortSignals)
+
+    if ((pkg === "@ai-sdk/openai" || pkg === "@ai-sdk/azure") && opts.body && opts.method === "POST") {
+      const body = JSON.parse(opts.body as string)
+      if (body.store !== true && Array.isArray(body.input)) {
+        for (const item of body.input) {
+          if ("id" in item) delete item.id
+        }
+        opts.body = JSON.stringify(body)
+      }
+    }
+
+    const res = await (typeof customFetch === "function" ? customFetch : fetch)(input, {
+      ...opts,
+      timeout: false,
+    })
+    if (!chunkAbortCtl || typeof chunkTimeout !== "number") return res
+    return wrapSSE(res, chunkTimeout, chunkAbortCtl)
+  }
+
+  return options
+}
+
+export class InitError extends Schema.TaggedErrorClass<InitError>()("AISDK.InitError", {
+  providerID: ProviderV2.ID,
+  cause: Schema.Defect,
+}) {}
+
+function initError(providerID: ProviderV2.ID) {
+  return Effect.catchCause((cause) => Effect.fail(new InitError({ providerID, cause: Cause.squash(cause) })))
+}
+
+export interface Interface {
+  readonly language: (model: ModelV2.Info) => Effect.Effect<LanguageModelV3, InitError>
+}
+
+export class Service extends Context.Service<Service, Interface>()("@opencode/v2/AISDK") {}
+
+export const layer = Layer.effect(
+  Service,
+  Effect.gen(function* () {
+    const plugin = yield* PluginV2.Service
+    const languages = new Map<string, LanguageModelV3>()
+    const sdks = new Map<string, SDK>()
+
+    return Service.of({
+      language: Effect.fn("AISDK.language")(function* (model) {
+        const key = `${model.providerID}/${model.id}/${model.options.variant ?? "default"}`
+        const existing = languages.get(key)
+        if (existing) return existing
+        if (model.endpoint.type !== "aisdk")
+          return yield* new InitError({
+            providerID: model.providerID,
+            cause: new Error(`Unsupported endpoint ${model.endpoint.type}`),
+          })
+
+        const options = prepareOptions(model, model.endpoint.package)
+        const sdkKey = JSON.stringify({
+          providerID: model.providerID,
+          endpoint: model.endpoint,
+          options,
+        })
+        const sdk =
+          sdks.get(sdkKey) ??
+          (yield* plugin
+            .trigger("aisdk.sdk", { model, package: model.endpoint.package, options }, {})
+            .pipe(initError(model.providerID))).sdk
+        if (!sdk)
+          return yield* new InitError({
+            providerID: model.providerID,
+            cause: new Error("No AISDK provider plugin returned an SDK"),
+          })
+        sdks.set(sdkKey, sdk)
+        const result = yield* plugin
+          .trigger(
+            "aisdk.language",
+            {
+              model,
+              sdk,
+              options,
+            },
+            {},
+          )
+          .pipe(initError(model.providerID))
+        const language = yield* Effect.sync(() => result.language ?? sdk.languageModel(model.apiID)).pipe(
+          initError(model.providerID),
+        )
+        languages.set(key, language)
+        return language
+      }),
+    })
+  }),
+)
+
+export const defaultLayer = layer.pipe(Layer.provide(PluginV2.defaultLayer))

packages/core/src/auth.ts

@@ -0,0 +1,264 @@
+import path from "path"
+import { Effect, Layer, Option, Schema, Context, SynchronizedRef } from "effect"
+import { Identifier } from "./util/identifier"
+import { NonNegativeInt, withStatics } from "./schema"
+import { Global } from "./global"
+import { AppFileSystem } from "./filesystem"
+
+export const OAUTH_DUMMY_KEY = "opencode-oauth-dummy-key"
+
+const AccountID = Schema.String.pipe(
+  Schema.brand("AccountID"),
+  withStatics((schema) => ({ create: () => schema.make("acc_" + Identifier.ascending()) })),
+)
+export type AccountID = typeof AccountID.Type
+
+export const ServiceID = Schema.String.pipe(Schema.brand("ServiceID"))
+export type ServiceID = typeof ServiceID.Type
+
+export class OAuthCredential extends Schema.Class<OAuthCredential>("AuthV2.OAuthCredential")({
+  type: Schema.Literal("oauth"),
+  refresh: Schema.String,
+  access: Schema.String,
+  expires: NonNegativeInt,
+}) {}
+
+export class ApiKeyCredential extends Schema.Class<ApiKeyCredential>("AuthV2.ApiKeyCredential")({
+  type: Schema.Literal("api"),
+  key: Schema.String,
+  metadata: Schema.optional(Schema.Record(Schema.String, Schema.String)),
+}) {}
+
+export const Credential = Schema.Union([OAuthCredential, ApiKeyCredential])
+  .pipe(Schema.toTaggedUnion("type"))
+  .annotate({
+    identifier: "AuthV2.Credential",
+  })
+export type Credential = Schema.Schema.Type<typeof Credential>
+
+export class Account extends Schema.Class<Account>("AuthV2.Account")({
+  id: AccountID,
+  serviceID: ServiceID,
+  description: Schema.String,
+  credential: Credential,
+}) {}
+
+export class AuthFileWriteError extends Schema.TaggedErrorClass<AuthFileWriteError>()("AuthV2.FileWriteError", {
+  operation: Schema.Union([Schema.Literal("migrate"), Schema.Literal("write")]),
+  cause: Schema.Defect,
+}) {}
+
+export type AuthError = AuthFileWriteError
+
+interface Writable {
+  version: 2
+  accounts: Record<string, Account>
+  active: Record<string, AccountID>
+}
+
+const decodeV1 = Schema.decodeUnknownOption(Schema.Record(Schema.String, Credential))
+
+function migrate(old: Record<string, unknown>): Writable {
+  const accounts: Record<string, Account> = {}
+  const active: Record<string, AccountID> = {}
+  for (const [serviceID, value] of Object.entries(old)) {
+    const decoded = Option.getOrElse(decodeV1({ [serviceID]: value }), () => ({}))
+    const parsed = (decoded as Record<string, Credential>)[serviceID]
+    if (!parsed) continue
+    const id = Identifier.ascending()
+    const accountID = AccountID.make(id)
+    const brandedServiceID = ServiceID.make(serviceID)
+    accounts[id] = new Account({
+      id: accountID,
+      serviceID: brandedServiceID,
+      description: "default",
+      credential: parsed,
+    })
+    active[brandedServiceID] = accountID
+  }
+  return { version: 2, accounts, active }
+}
+
+export interface Interface {
+  readonly get: (accountID: AccountID) => Effect.Effect<Account | undefined, AuthError>
+  readonly all: () => Effect.Effect<Account[], AuthError>
+  readonly create: (input: {
+    serviceID: ServiceID
+    credential: Credential
+    description?: string
+    active?: boolean
+  }) => Effect.Effect<Account, AuthError>
+  readonly update: (
+    accountID: AccountID,
+    updates: Partial<Pick<Account, "description" | "credential">>,
+  ) => Effect.Effect<void, AuthError>
+  readonly remove: (accountID: AccountID) => Effect.Effect<void, AuthError>
+  readonly activate: (accountID: AccountID) => Effect.Effect<void, AuthError>
+  readonly active: (serviceID: ServiceID) => Effect.Effect<Account | undefined, AuthError>
+  readonly forService: (serviceID: ServiceID) => Effect.Effect<Account[], AuthError>
+}
+
+export class Service extends Context.Service<Service, Interface>()("@opencode/v2/Auth") {}
+
+export const layer = Layer.effect(
+  Service,
+  Effect.gen(function* () {
+    const fsys = yield* AppFileSystem.Service
+    const global = yield* Global.Service
+    const file = path.join(global.data, "auth-v2.json")
+    const legacyFile = path.join(global.data, "auth.json")
+
+    const writeMigrated = Effect.fnUntraced(function* (raw: Record<string, unknown>) {
+      const migrated = migrate(raw)
+      yield* fsys
+        .writeJson(file, migrated, 0o600)
+        .pipe(Effect.mapError((cause) => new AuthFileWriteError({ operation: "migrate", cause })))
+      return migrated
+    })
+
+    const parseAuthContent = () => {
+      try {
+        return JSON.parse(process.env.OPENCODE_AUTH_CONTENT ?? "")
+      } catch {}
+    }
+
+    const load: () => Effect.Effect<Writable, AuthError> = Effect.fnUntraced(function* () {
+      if (process.env.OPENCODE_AUTH_CONTENT) {
+        const raw = parseAuthContent()
+        if (raw && typeof raw === "object") {
+          if ("version" in raw && raw.version === 2) return raw as Writable
+          return yield* writeMigrated(raw as Record<string, unknown>)
+        }
+        return { version: 2, accounts: {}, active: {} }
+      }
+
+      const legacy = yield* fsys.readJson(legacyFile).pipe(Effect.orElseSucceed(() => null))
+      if (legacy && typeof legacy === "object") return yield* writeMigrated(legacy as Record<string, unknown>)
+
+      const raw = yield* fsys.readJson(file).pipe(Effect.orElseSucceed(() => null))
+
+      if (raw && typeof raw === "object") {
+        if ("version" in raw && raw.version === 2) return raw as Writable
+        return yield* writeMigrated(raw as Record<string, unknown>)
+      }
+
+      return { version: 2, accounts: {}, active: {} }
+    })
+
+    const write = (data: Writable) =>
+      fsys
+        .writeJson(file, data, 0o600)
+        .pipe(Effect.mapError((cause) => new AuthFileWriteError({ operation: "write", cause })))
+
+    const state = SynchronizedRef.makeUnsafe(yield* load())
+
+    const result: Interface = {
+      get: Effect.fn("AuthV2.get")(function* (accountID) {
+        return (yield* SynchronizedRef.get(state)).accounts[accountID]
+      }),
+
+      all: Effect.fn("AuthV2.all")(function* () {
+        return Object.values((yield* SynchronizedRef.get(state)).accounts)
+      }),
+
+      active: Effect.fn("AuthV2.active")(function* (serviceID) {
+        const data = yield* SynchronizedRef.get(state)
+        return (
+          data.accounts[data.active[serviceID]] ?? Object.values(data.accounts).find((a) => a.serviceID === serviceID)
+        )
+      }),
+
+      forService: Effect.fn("AuthV2.list")(function* (serviceID) {
+        return Object.values((yield* SynchronizedRef.get(state)).accounts).filter((a) => a.serviceID === serviceID)
+      }),
+
+      create: Effect.fn("AuthV2.add")(function* (input) {
+        return yield* SynchronizedRef.modifyEffect(
+          state,
+          Effect.fnUntraced(function* (data) {
+            const account = new Account({
+              id: AccountID.make(Identifier.ascending()),
+              serviceID: input.serviceID,
+              description: input.description ?? "default",
+              credential: input.credential,
+            })
+            const next = {
+              ...data,
+              accounts: { ...data.accounts, [account.id]: account },
+              active:
+                (input.active ?? Object.values(data.accounts).every((a) => a.serviceID !== input.serviceID))
+                  ? { ...data.active, [input.serviceID]: account.id }
+                  : data.active,
+            }
+
+            yield* write(next)
+            return [account, next] as const
+          }),
+        )
+      }),
+
+      update: Effect.fn("AuthV2.update")(function* (accountID, updates) {
+        yield* SynchronizedRef.modifyEffect(
+          state,
+          Effect.fnUntraced(function* (data) {
+            const existing = data.accounts[accountID]
+            if (!existing) return [undefined, data] as const
+
+            const next = {
+              ...data,
+              accounts: {
+                ...data.accounts,
+                [accountID]: new Account({
+                  id: accountID,
+                  serviceID: existing.serviceID,
+                  description: updates.description ?? existing.description,
+                  credential: updates.credential ?? existing.credential,
+                }),
+              },
+            }
+
+            yield* write(next)
+            return [undefined, next] as const
+          }),
+        )
+      }),
+
+      remove: Effect.fn("AuthV2.remove")(function* (accountID) {
+        yield* SynchronizedRef.modifyEffect(
+          state,
+          Effect.fnUntraced(function* (data) {
+            const accounts = { ...data.accounts }
+            const active = { ...data.active }
+            if (accounts[accountID] && active[accounts[accountID].serviceID] === accountID)
+              delete active[accounts[accountID].serviceID]
+            delete accounts[accountID]
+
+            const next = { ...data, accounts, active }
+            yield* write(next)
+            return [undefined, next] as const
+          }),
+        )
+      }),
+
+      activate: Effect.fn("AuthV2.activate")(function* (accountID) {
+        yield* SynchronizedRef.modifyEffect(
+          state,
+          Effect.fnUntraced(function* (data) {
+            const account = data.accounts[accountID]
+            if (!account) return [undefined, data] as const
+
+            const next = { ...data, active: { ...data.active, [account.serviceID]: accountID } }
+            yield* write(next)
+            return [undefined, next] as const
+          }),
+        )
+      }),
+    }
+
+    return Service.of(result)
+  }),
+)
+
+export const defaultLayer = layer.pipe(Layer.provide(AppFileSystem.defaultLayer), Layer.provide(Global.defaultLayer))
+
+export * as AuthV2 from "./auth"

packages/core/src/catalog.ts

@@ -0,0 +1,258 @@
+export * as Catalog from "./catalog"
+
+import { Context, Effect, HashMap, Layer, Option, Order, pipe, Schema, Array } from "effect"
+import { produce, type Draft } from "immer"
+import { ModelV2 } from "./model"
+import { PluginV2 } from "./plugin"
+import { ProviderV2 } from "./provider"
+
+type ProviderRecord = {
+  provider: ProviderV2.Info
+  models: HashMap.HashMap<ModelV2.ID, ModelV2.Info>
+}
+
+export class ProviderNotFoundError extends Schema.TaggedErrorClass<ProviderNotFoundError>()(
+  "CatalogV2.ProviderNotFound",
+  {
+    providerID: ProviderV2.ID,
+  },
+) {}
+
+export class ModelNotFoundError extends Schema.TaggedErrorClass<ModelNotFoundError>()("CatalogV2.ModelNotFound", {
+  providerID: ProviderV2.ID,
+  modelID: ModelV2.ID,
+}) {}
+
+export interface Interface {
+  readonly provider: {
+    readonly get: (providerID: ProviderV2.ID) => Effect.Effect<ProviderV2.Info, ProviderNotFoundError>
+    readonly update: (providerID: ProviderV2.ID, fn: (provider: Draft<ProviderV2.Info>) => void) => Effect.Effect<void>
+    readonly all: () => Effect.Effect<ProviderV2.Info[]>
+    readonly available: () => Effect.Effect<ProviderV2.Info[]>
+  }
+  readonly model: {
+    readonly get: (
+      providerID: ProviderV2.ID,
+      modelID: ModelV2.ID,
+    ) => Effect.Effect<ModelV2.Info, ProviderNotFoundError | ModelNotFoundError>
+    readonly update: (
+      providerID: ProviderV2.ID,
+      modelID: ModelV2.ID,
+      fn: (model: Draft<ModelV2.Info>) => void,
+    ) => Effect.Effect<void, ProviderNotFoundError>
+    readonly all: () => Effect.Effect<ModelV2.Info[]>
+    readonly available: () => Effect.Effect<ModelV2.Info[]>
+    readonly default: () => Effect.Effect<Option.Option<ModelV2.Info>>
+    readonly setDefault: (
+      providerID: ProviderV2.ID,
+      modelID: ModelV2.ID,
+    ) => Effect.Effect<void, ProviderNotFoundError | ModelNotFoundError>
+    readonly small: (providerID: ProviderV2.ID) => Effect.Effect<Option.Option<ModelV2.Info>>
+  }
+}
+
+export class Service extends Context.Service<Service, Interface>()("@opencode/v2/Catalog") {}
+
+export const layer = Layer.effect(
+  Service,
+  Effect.gen(function* () {
+    let records = HashMap.empty<ProviderV2.ID, ProviderRecord>()
+    let defaultModel: { providerID: ProviderV2.ID; modelID: ModelV2.ID } | undefined
+    const plugin = yield* PluginV2.Service
+
+    const resolve = (model: ModelV2.Info) => {
+      const provider = Option.getOrThrow(HashMap.get(records, model.providerID)).provider
+      const endpoint =
+        model.endpoint.type === "unknown"
+          ? provider.endpoint
+          : model.endpoint.type === "aisdk" && provider.endpoint.type === "aisdk" && !model.endpoint.url
+            ? { ...model.endpoint, url: provider.endpoint.url }
+            : model.endpoint
+      const options = {
+        headers: {
+          ...provider.options.headers,
+          ...model.options.headers,
+        },
+        body: {
+          ...provider.options.body,
+          ...model.options.body,
+        },
+        aisdk: {
+          provider: {
+            ...provider.options.aisdk.provider,
+            ...model.options.aisdk.provider,
+          },
+          request: model.options.aisdk.request,
+        },
+        variant: model.options.variant,
+      }
+      return new ModelV2.Info({
+        ...model,
+        endpoint,
+        options,
+      })
+    }
+
+    function* getRecord(providerID: ProviderV2.ID) {
+      const match = HashMap.get(records, providerID)
+      if (!match.valueOrUndefined) return yield* new ProviderNotFoundError({ providerID })
+      return match.value
+    }
+
+    const result: Interface = {
+      provider: {
+        get: Effect.fn("CatalogV2.provider.get")(function* (providerID) {
+          const record = yield* getRecord(providerID)
+          return record.provider
+        }),
+
+        update: Effect.fnUntraced(function* (providerID, fn) {
+          const current = Option.getOrUndefined(HashMap.get(records, providerID))
+          const provider = produce(current?.provider ?? ProviderV2.Info.empty(providerID), (draft) => {
+            fn(draft)
+            if (draft.endpoint.type === "aisdk" && typeof draft.options.aisdk.provider.baseURL === "string") {
+              draft.endpoint.url = draft.options.aisdk.provider.baseURL
+              delete draft.options.aisdk.provider.baseURL
+            }
+          })
+          const updated = yield* plugin.trigger("provider.update", {}, { provider, cancel: false })
+          records = HashMap.set(records, providerID, {
+            provider: updated.provider,
+            models: current?.models ?? HashMap.empty<ModelV2.ID, ModelV2.Info>(),
+          })
+        }),
+
+        all: Effect.fn("CatalogV2.provider.all")(function* () {
+          return globalThis.Array.from(HashMap.values(records)).map((record) => record.provider)
+        }),
+
+        available: Effect.fn("CatalogV2.provider.available")(function* () {
+          return globalThis.Array.from(HashMap.values(records))
+            .map((record) => record.provider)
+            .filter((provider) => provider.enabled)
+        }),
+      },
+
+      model: {
+        get: Effect.fn("CatalogV2.model.get")(function* (providerID, modelID) {
+          const record = yield* getRecord(providerID)
+          const model = Option.getOrUndefined(HashMap.get(record.models, modelID))
+          if (!model) return yield* new ModelNotFoundError({ providerID, modelID })
+          return resolve(model)
+        }),
+
+        update: Effect.fnUntraced(function* (providerID, modelID, fn) {
+          const record = yield* getRecord(providerID)
+          const model = produce(
+            HashMap.get(record.models, modelID).pipe(Option.getOrElse(() => ModelV2.Info.empty(providerID, modelID))),
+            (draft) => {
+              fn(draft)
+              if (draft.endpoint.type === "aisdk" && typeof draft.options.aisdk.provider.baseURL === "string") {
+                draft.endpoint.url = draft.options.aisdk.provider.baseURL
+                delete draft.options.aisdk.provider.baseURL
+              }
+            },
+          )
+          const updated = yield* plugin.trigger("model.update", {}, { model, cancel: false })
+          if (updated.cancel) return
+          records = HashMap.set(records, providerID, {
+            provider: record.provider,
+            models: HashMap.set(
+              record.models,
+              modelID,
+              new ModelV2.Info({ ...updated.model, id: modelID, providerID }),
+            ),
+          })
+          return
+        }),
+
+        all: Effect.fn("CatalogV2.model.all")(function* () {
+          return pipe(
+            records,
+            HashMap.toValues,
+            Array.flatMap((record) => HashMap.toValues(record.models)),
+            Array.map(resolve),
+            Array.sortWith((item) => item.time.released.epochMilliseconds, Order.flip(Order.Number)),
+          )
+        }),
+
+        available: Effect.fn("CatalogV2.model.available")(function* () {
+          return (yield* result.model.all()).filter((model) => {
+            const record = Option.getOrUndefined(HashMap.get(records, model.providerID))
+            return record?.provider.enabled !== false && model.enabled
+          })
+        }),
+
+        default: Effect.fn("CatalogV2.model.default")(function* () {
+          if (defaultModel) {
+            const model = yield* result.model.get(defaultModel.providerID, defaultModel.modelID).pipe(Effect.option)
+            if (Option.isSome(model) && model.value.enabled) return model
+          }
+
+          return pipe(
+            yield* result.model.available(),
+            Array.sortWith((item) => item.time.released.epochMilliseconds, Order.flip(Order.Number)),
+            Array.head,
+          )
+        }),
+
+        setDefault: Effect.fn("CatalogV2.model.setDefault")(function* (providerID, modelID) {
+          yield* result.model.get(providerID, modelID)
+          defaultModel = { providerID, modelID }
+        }),
+
+        small: Effect.fn("CatalogV2.model.small")(function* (providerID) {
+          const record = Option.getOrUndefined(HashMap.get(records, providerID))
+          if (!record) return Option.none<ModelV2.Info>()
+
+          if (providerID === ProviderV2.ID.opencode) {
+            const gpt5Nano = Option.getOrUndefined(HashMap.get(record.models, ModelV2.ID.make("gpt-5-nano")))
+            if (gpt5Nano?.enabled && gpt5Nano.status === "active") return Option.some(resolve(gpt5Nano))
+          }
+
+          const candidates = pipe(
+            HashMap.toValues(record.models),
+            Array.filter(
+              (model) =>
+                model.providerID === providerID &&
+                model.enabled &&
+                model.status === "active" &&
+                model.capabilities.input.some((item) => item.startsWith("text")) &&
+                model.capabilities.output.some((item) => item.startsWith("text")),
+            ),
+            Array.map((model) => ({
+              model,
+              cost: model.cost[0] ? model.cost[0].input + model.cost[0].output : 999,
+              age: (Date.now() - model.time.released.epochMilliseconds) / (1000 * 60 * 60 * 24 * 30),
+              small: SMALL_MODEL_RE.test(`${model.id} ${model.family ?? ""} ${model.name}`.toLowerCase()),
+            })),
+            Array.filter((item) => item.cost > 0 && item.age <= 18),
+          )
+
+          const pick = (items: typeof candidates) => {
+            const maxCost = Math.max(...items.map((item) => item.cost), 0.01)
+            const maxAge = Math.max(...items.map((item) => item.age), 0.01)
+            return pipe(
+              items,
+              Array.sortWith((item) => (item.cost / maxCost) * 0.8 + (item.age / maxAge) * 0.2, Order.Number),
+              Array.map((item) => resolve(item.model)),
+              Array.head,
+            )
+          }
+
+          return pipe(
+            candidates,
+            Array.filter((item) => item.small),
+            (items) => (items.length > 0 ? pick(items) : pick(candidates)),
+          )
+        }),
+      },
+    }
+
+    return Service.of(result)
+  }),
+)
+
+const SMALL_MODEL_RE = /\b(nano|flash|lite|mini|haiku|small|fast)\b/
+
+export const defaultLayer = layer.pipe(Layer.provide(PluginV2.defaultLayer))

packages/core/src/github-copilot/README.md

@@ -0,0 +1,5 @@
+This is a temporary package used primarily for GitHub Copilot compatibility.
+
+These DO NOT apply for openai-compatible providers or majority of providers supporting completions/responses apis. THIS IS ONLY FOR GITHUB COPILOT!!!
+
+Avoid making edits to these files

packages/core/src/github-copilot/chat/convert-to-openai-compatible-chat-messages.ts

@@ -0,0 +1,170 @@
+import {
+  type LanguageModelV3Prompt,
+  type SharedV3ProviderOptions,
+  UnsupportedFunctionalityError,
+} from "@ai-sdk/provider"
+import type { OpenAICompatibleChatPrompt } from "./openai-compatible-api-types"
+import { convertToBase64 } from "@ai-sdk/provider-utils"
+
+function getOpenAIMetadata(message: { providerOptions?: SharedV3ProviderOptions }) {
+  return message?.providerOptions?.copilot ?? {}
+}
+
+export function convertToOpenAICompatibleChatMessages(prompt: LanguageModelV3Prompt): OpenAICompatibleChatPrompt {
+  const messages: OpenAICompatibleChatPrompt = []
+  for (const { role, content, ...message } of prompt) {
+    const metadata = getOpenAIMetadata({ ...message })
+    switch (role) {
+      case "system": {
+        messages.push({
+          role: "system",
+          content: content,
+          ...metadata,
+        })
+        break
+      }
+
+      case "user": {
+        if (content.length === 1 && content[0].type === "text") {
+          messages.push({
+            role: "user",
+            content: content[0].text,
+            ...getOpenAIMetadata(content[0]),
+          })
+          break
+        }
+
+        messages.push({
+          role: "user",
+          content: content.map((part) => {
+            const partMetadata = getOpenAIMetadata(part)
+            switch (part.type) {
+              case "text": {
+                return { type: "text", text: part.text, ...partMetadata }
+              }
+              case "file": {
+                if (part.mediaType.startsWith("image/")) {
+                  const mediaType = part.mediaType === "image/*" ? "image/jpeg" : part.mediaType
+
+                  return {
+                    type: "image_url",
+                    image_url: {
+                      url:
+                        part.data instanceof URL
+                          ? part.data.toString()
+                          : `data:${mediaType};base64,${convertToBase64(part.data)}`,
+                    },
+                    ...partMetadata,
+                  }
+                } else {
+                  throw new UnsupportedFunctionalityError({
+                    functionality: `file part media type ${part.mediaType}`,
+                  })
+                }
+              }
+            }
+          }),
+          ...metadata,
+        })
+
+        break
+      }
+
+      case "assistant": {
+        let text = ""
+        let reasoningText: string | undefined
+        let reasoningOpaque: string | undefined
+        const toolCalls: Array<{
+          id: string
+          type: "function"
+          function: { name: string; arguments: string }
+        }> = []
+
+        for (const part of content) {
+          const partMetadata = getOpenAIMetadata(part)
+          // Check for reasoningOpaque on any part (may be attached to text/tool-call)
+          const partOpaque = (part.providerOptions as { copilot?: { reasoningOpaque?: string } })?.copilot
+            ?.reasoningOpaque
+          if (partOpaque && !reasoningOpaque) {
+            reasoningOpaque = partOpaque
+          }
+
+          switch (part.type) {
+            case "text": {
+              text += part.text
+              break
+            }
+            case "reasoning": {
+              if (part.text) reasoningText = part.text
+              break
+            }
+            case "tool-call": {
+              toolCalls.push({
+                id: part.toolCallId,
+                type: "function",
+                function: {
+                  name: part.toolName,
+                  arguments: JSON.stringify(part.input),
+                },
+                ...partMetadata,
+              })
+              break
+            }
+          }
+        }
+
+        messages.push({
+          role: "assistant",
+          content: text || null,
+          tool_calls: toolCalls.length > 0 ? toolCalls : undefined,
+          reasoning_text: reasoningOpaque ? reasoningText : undefined,
+          reasoning_opaque: reasoningOpaque,
+          ...metadata,
+        })
+
+        break
+      }
+
+      case "tool": {
+        for (const toolResponse of content) {
+          if (toolResponse.type === "tool-approval-response") {
+            continue
+          }
+          const output = toolResponse.output
+
+          let contentValue: string
+          switch (output.type) {
+            case "text":
+            case "error-text":
+              contentValue = output.value
+              break
+            case "execution-denied":
+              contentValue = output.reason ?? "Tool execution denied."
+              break
+            case "content":
+            case "json":
+            case "error-json":
+              contentValue = JSON.stringify(output.value)
+              break
+          }
+
+          const toolResponseMetadata = getOpenAIMetadata(toolResponse)
+          messages.push({
+            role: "tool",
+            tool_call_id: toolResponse.toolCallId,
+            content: contentValue,
+            ...toolResponseMetadata,
+          })
+        }
+        break
+      }
+
+      default: {
+        const _exhaustiveCheck: never = role
+        throw new Error(`Unsupported role: ${_exhaustiveCheck}`)
+      }
+    }
+  }
+
+  return messages
+}

packages/core/src/github-copilot/chat/get-response-metadata.ts

@@ -0,0 +1,15 @@
+export function getResponseMetadata({
+  id,
+  model,
+  created,
+}: {
+  id?: string | undefined | null
+  created?: number | undefined | null
+  model?: string | undefined | null
+}) {
+  return {
+    id: id ?? undefined,
+    modelId: model ?? undefined,
+    timestamp: created != null ? new Date(created * 1000) : undefined,
+  }
+}

packages/core/src/github-copilot/chat/map-openai-compatible-finish-reason.ts

@@ -0,0 +1,19 @@
+import type { LanguageModelV3FinishReason } from "@ai-sdk/provider"
+
+export function mapOpenAICompatibleFinishReason(
+  finishReason: string | null | undefined,
+): LanguageModelV3FinishReason["unified"] {
+  switch (finishReason) {
+    case "stop":
+      return "stop"
+    case "length":
+      return "length"
+    case "content_filter":
+      return "content-filter"
+    case "function_call":
+    case "tool_calls":
+      return "tool-calls"
+    default:
+      return "other"
+  }
+}

packages/core/src/github-copilot/chat/openai-compatible-api-types.ts

@@ -0,0 +1,64 @@
+import type { JSONValue } from "@ai-sdk/provider"
+
+export type OpenAICompatibleChatPrompt = Array<OpenAICompatibleMessage>
+
+export type OpenAICompatibleMessage =
+  | OpenAICompatibleSystemMessage
+  | OpenAICompatibleUserMessage
+  | OpenAICompatibleAssistantMessage
+  | OpenAICompatibleToolMessage
+
+// Allow for arbitrary additional properties for general purpose
+// provider-metadata-specific extensibility.
+type JsonRecord<T = never> = Record<string, JSONValue | JSONValue[] | T | T[] | undefined>
+
+export interface OpenAICompatibleSystemMessage extends JsonRecord<OpenAICompatibleSystemContentPart> {
+  role: "system"
+  content: string | Array<OpenAICompatibleSystemContentPart>
+}
+
+export interface OpenAICompatibleSystemContentPart extends JsonRecord {
+  type: "text"
+  text: string
+}
+
+export interface OpenAICompatibleUserMessage extends JsonRecord<OpenAICompatibleContentPart> {
+  role: "user"
+  content: string | Array<OpenAICompatibleContentPart>
+}
+
+export type OpenAICompatibleContentPart = OpenAICompatibleContentPartText | OpenAICompatibleContentPartImage
+
+export interface OpenAICompatibleContentPartImage extends JsonRecord {
+  type: "image_url"
+  image_url: { url: string }
+}
+
+export interface OpenAICompatibleContentPartText extends JsonRecord {
+  type: "text"
+  text: string
+}
+
+export interface OpenAICompatibleAssistantMessage extends JsonRecord<OpenAICompatibleMessageToolCall> {
+  role: "assistant"
+  content?: string | null
+  tool_calls?: Array<OpenAICompatibleMessageToolCall>
+  // Copilot-specific reasoning fields
+  reasoning_text?: string
+  reasoning_opaque?: string
+}
+
+export interface OpenAICompatibleMessageToolCall extends JsonRecord {
+  type: "function"
+  id: string
+  function: {
+    arguments: string
+    name: string
+  }
+}
+
+export interface OpenAICompatibleToolMessage extends JsonRecord {
+  role: "tool"
+  content: string
+  tool_call_id: string
+}

packages/core/src/github-copilot/chat/openai-compatible-chat-language-model.ts

@@ -0,0 +1,815 @@
+import {
+  APICallError,
+  InvalidResponseDataError,
+  type LanguageModelV3,
+  type LanguageModelV3CallOptions,
+  type LanguageModelV3Content,
+  type LanguageModelV3StreamPart,
+  type SharedV3ProviderMetadata,
+  type SharedV3Warning,
+} from "@ai-sdk/provider"
+import {
+  combineHeaders,
+  createEventSourceResponseHandler,
+  createJsonErrorResponseHandler,
+  createJsonResponseHandler,
+  type FetchFunction,
+  generateId,
+  isParsableJson,
+  parseProviderOptions,
+  type ParseResult,
+  postJsonToApi,
+  type ResponseHandler,
+} from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+import { convertToOpenAICompatibleChatMessages } from "./convert-to-openai-compatible-chat-messages"
+import { getResponseMetadata } from "./get-response-metadata"
+import { mapOpenAICompatibleFinishReason } from "./map-openai-compatible-finish-reason"
+import { type OpenAICompatibleChatModelId, openaiCompatibleProviderOptions } from "./openai-compatible-chat-options"
+import { defaultOpenAICompatibleErrorStructure, type ProviderErrorStructure } from "../openai-compatible-error"
+import type { MetadataExtractor } from "./openai-compatible-metadata-extractor"
+import { prepareTools } from "./openai-compatible-prepare-tools"
+
+export type OpenAICompatibleChatConfig = {
+  provider: string
+  headers: () => Record<string, string | undefined>
+  url: (options: { modelId: string; path: string }) => string
+  fetch?: FetchFunction
+  includeUsage?: boolean
+  errorStructure?: ProviderErrorStructure<any>
+  metadataExtractor?: MetadataExtractor
+
+  /**
+   * Whether the model supports structured outputs.
+   */
+  supportsStructuredOutputs?: boolean
+
+  /**
+   * The supported URLs for the model.
+   */
+  supportedUrls?: () => LanguageModelV3["supportedUrls"]
+}
+
+export class OpenAICompatibleChatLanguageModel implements LanguageModelV3 {
+  readonly specificationVersion = "v3"
+
+  readonly supportsStructuredOutputs: boolean
+
+  readonly modelId: OpenAICompatibleChatModelId
+  private readonly config: OpenAICompatibleChatConfig
+  private readonly failedResponseHandler: ResponseHandler<APICallError>
+  private readonly chunkSchema // type inferred via constructor
+
+  constructor(modelId: OpenAICompatibleChatModelId, config: OpenAICompatibleChatConfig) {
+    this.modelId = modelId
+    this.config = config
+
+    // initialize error handling:
+    const errorStructure = config.errorStructure ?? defaultOpenAICompatibleErrorStructure
+    this.chunkSchema = createOpenAICompatibleChatChunkSchema(errorStructure.errorSchema)
+    this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure)
+
+    this.supportsStructuredOutputs = config.supportsStructuredOutputs ?? false
+  }
+
+  get provider(): string {
+    return this.config.provider
+  }
+
+  private get providerOptionsName(): string {
+    return this.config.provider.split(".")[0].trim()
+  }
+
+  get supportedUrls() {
+    return this.config.supportedUrls?.() ?? {}
+  }
+
+  private async getArgs({
+    prompt,
+    maxOutputTokens,
+    temperature,
+    topP,
+    topK,
+    frequencyPenalty,
+    presencePenalty,
+    providerOptions,
+    stopSequences,
+    responseFormat,
+    seed,
+    toolChoice,
+    tools,
+  }: LanguageModelV3CallOptions) {
+    const warnings: SharedV3Warning[] = []
+
+    // Parse provider options
+    const compatibleOptions = Object.assign(
+      (await parseProviderOptions({
+        provider: "copilot",
+        providerOptions,
+        schema: openaiCompatibleProviderOptions,
+      })) ?? {},
+      (await parseProviderOptions({
+        provider: this.providerOptionsName,
+        providerOptions,
+        schema: openaiCompatibleProviderOptions,
+      })) ?? {},
+    )
+
+    if (topK != null) {
+      warnings.push({ type: "unsupported", feature: "topK" })
+    }
+
+    if (responseFormat?.type === "json" && responseFormat.schema != null && !this.supportsStructuredOutputs) {
+      warnings.push({
+        type: "unsupported",
+        feature: "responseFormat",
+        details: "JSON response format schema is only supported with structuredOutputs",
+      })
+    }
+
+    const {
+      tools: openaiTools,
+      toolChoice: openaiToolChoice,
+      toolWarnings,
+    } = prepareTools({
+      tools,
+      toolChoice,
+    })
+
+    return {
+      args: {
+        // model id:
+        model: this.modelId,
+
+        // model specific settings:
+        user: compatibleOptions.user,
+
+        // standardized settings:
+        max_tokens: maxOutputTokens,
+        temperature,
+        top_p: topP,
+        frequency_penalty: frequencyPenalty,
+        presence_penalty: presencePenalty,
+        response_format:
+          responseFormat?.type === "json"
+            ? this.supportsStructuredOutputs === true && responseFormat.schema != null
+              ? {
+                  type: "json_schema",
+                  json_schema: {
+                    schema: responseFormat.schema,
+                    name: responseFormat.name ?? "response",
+                    description: responseFormat.description,
+                  },
+                }
+              : { type: "json_object" }
+            : undefined,
+
+        stop: stopSequences,
+        seed,
+        ...Object.fromEntries(
+          Object.entries(providerOptions?.[this.providerOptionsName] ?? {}).filter(
+            ([key]) => !Object.keys(openaiCompatibleProviderOptions.shape).includes(key),
+          ),
+        ),
+
+        reasoning_effort: compatibleOptions.reasoningEffort,
+        verbosity: compatibleOptions.textVerbosity,
+
+        // messages:
+        messages: convertToOpenAICompatibleChatMessages(prompt),
+
+        // tools:
+        tools: openaiTools,
+        tool_choice: openaiToolChoice,
+
+        // thinking_budget
+        thinking_budget: compatibleOptions.thinking_budget,
+      },
+      warnings: [...warnings, ...toolWarnings],
+    }
+  }
+
+  async doGenerate(options: LanguageModelV3CallOptions) {
+    const { args, warnings } = await this.getArgs({ ...options })
+
+    const body = JSON.stringify(args)
+
+    const {
+      responseHeaders,
+      value: responseBody,
+      rawValue: rawResponse,
+    } = await postJsonToApi({
+      url: this.config.url({
+        path: "/chat/completions",
+        modelId: this.modelId,
+      }),
+      headers: combineHeaders(this.config.headers(), options.headers),
+      body: args,
+      failedResponseHandler: this.failedResponseHandler,
+      successfulResponseHandler: createJsonResponseHandler(OpenAICompatibleChatResponseSchema),
+      abortSignal: options.abortSignal,
+      fetch: this.config.fetch,
+    })
+
+    const choice = responseBody.choices[0]
+    const content: Array<LanguageModelV3Content> = []
+
+    // text content:
+    const text = choice.message.content
+    if (text != null && text.length > 0) {
+      content.push({
+        type: "text",
+        text,
+        providerMetadata: choice.message.reasoning_opaque
+          ? { copilot: { reasoningOpaque: choice.message.reasoning_opaque } }
+          : undefined,
+      })
+    }
+
+    // reasoning content (Copilot uses reasoning_text):
+    const reasoning = choice.message.reasoning_text
+    if (reasoning != null && reasoning.length > 0) {
+      content.push({
+        type: "reasoning",
+        text: reasoning,
+        // Include reasoning_opaque for Copilot multi-turn reasoning
+        providerMetadata: choice.message.reasoning_opaque
+          ? { copilot: { reasoningOpaque: choice.message.reasoning_opaque } }
+          : undefined,
+      })
+    }
+
+    // tool calls:
+    if (choice.message.tool_calls != null) {
+      for (const toolCall of choice.message.tool_calls) {
+        content.push({
+          type: "tool-call",
+          toolCallId: toolCall.id ?? generateId(),
+          toolName: toolCall.function.name,
+          input: toolCall.function.arguments!,
+          providerMetadata: choice.message.reasoning_opaque
+            ? { copilot: { reasoningOpaque: choice.message.reasoning_opaque } }
+            : undefined,
+        })
+      }
+    }
+
+    // provider metadata:
+    const providerMetadata: SharedV3ProviderMetadata = {
+      [this.providerOptionsName]: {},
+      ...(await this.config.metadataExtractor?.extractMetadata?.({
+        parsedBody: rawResponse,
+      })),
+    }
+    const completionTokenDetails = responseBody.usage?.completion_tokens_details
+    if (completionTokenDetails?.accepted_prediction_tokens != null) {
+      providerMetadata[this.providerOptionsName].acceptedPredictionTokens =
+        completionTokenDetails?.accepted_prediction_tokens
+    }
+    if (completionTokenDetails?.rejected_prediction_tokens != null) {
+      providerMetadata[this.providerOptionsName].rejectedPredictionTokens =
+        completionTokenDetails?.rejected_prediction_tokens
+    }
+
+    return {
+      content,
+      finishReason: {
+        unified: mapOpenAICompatibleFinishReason(choice.finish_reason),
+        raw: choice.finish_reason ?? undefined,
+      },
+      usage: {
+        inputTokens: {
+          total: responseBody.usage?.prompt_tokens ?? undefined,
+          noCache: undefined,
+          cacheRead: responseBody.usage?.prompt_tokens_details?.cached_tokens ?? undefined,
+          cacheWrite: undefined,
+        },
+        outputTokens: {
+          total: responseBody.usage?.completion_tokens ?? undefined,
+          text: undefined,
+          reasoning: responseBody.usage?.completion_tokens_details?.reasoning_tokens ?? undefined,
+        },
+        raw: responseBody.usage ?? undefined,
+      },
+      providerMetadata,
+      request: { body },
+      response: {
+        ...getResponseMetadata(responseBody),
+        headers: responseHeaders,
+        body: rawResponse,
+      },
+      warnings,
+    }
+  }
+
+  async doStream(options: LanguageModelV3CallOptions) {
+    const { args, warnings } = await this.getArgs({ ...options })
+
+    const body = {
+      ...args,
+      stream: true,
+
+      // only include stream_options when in strict compatibility mode:
+      stream_options: this.config.includeUsage ? { include_usage: true } : undefined,
+    }
+
+    const metadataExtractor = this.config.metadataExtractor?.createStreamExtractor()
+
+    const { responseHeaders, value: response } = await postJsonToApi({
+      url: this.config.url({
+        path: "/chat/completions",
+        modelId: this.modelId,
+      }),
+      headers: combineHeaders(this.config.headers(), options.headers),
+      body,
+      failedResponseHandler: this.failedResponseHandler,
+      successfulResponseHandler: createEventSourceResponseHandler(this.chunkSchema),
+      abortSignal: options.abortSignal,
+      fetch: this.config.fetch,
+    })
+
+    const toolCalls: Array<{
+      id: string
+      type: "function"
+      function: {
+        name: string
+        arguments: string
+      }
+      hasFinished: boolean
+    }> = []
+
+    let finishReason: {
+      unified: ReturnType<typeof mapOpenAICompatibleFinishReason>
+      raw: string | undefined
+    } = {
+      unified: "other",
+      raw: undefined,
+    }
+    const usage: {
+      completionTokens: number | undefined
+      completionTokensDetails: {
+        reasoningTokens: number | undefined
+        acceptedPredictionTokens: number | undefined
+        rejectedPredictionTokens: number | undefined
+      }
+      promptTokens: number | undefined
+      promptTokensDetails: {
+        cachedTokens: number | undefined
+      }
+      totalTokens: number | undefined
+    } = {
+      completionTokens: undefined,
+      completionTokensDetails: {
+        reasoningTokens: undefined,
+        acceptedPredictionTokens: undefined,
+        rejectedPredictionTokens: undefined,
+      },
+      promptTokens: undefined,
+      promptTokensDetails: {
+        cachedTokens: undefined,
+      },
+      totalTokens: undefined,
+    }
+    let isFirstChunk = true
+    const providerOptionsName = this.providerOptionsName
+    let isActiveReasoning = false
+    let isActiveText = false
+    let reasoningOpaque: string | undefined
+
+    return {
+      stream: response.pipeThrough(
+        new TransformStream<ParseResult<z.infer<typeof this.chunkSchema>>, LanguageModelV3StreamPart>({
+          start(controller) {
+            controller.enqueue({ type: "stream-start", warnings })
+          },
+
+          // TODO we lost type safety on Chunk, most likely due to the error schema. MUST FIX
+          transform(chunk, controller) {
+            // Emit raw chunk if requested (before anything else)
+            if (options.includeRawChunks) {
+              controller.enqueue({ type: "raw", rawValue: chunk.rawValue })
+            }
+
+            // handle failed chunk parsing / validation:
+            if (!chunk.success) {
+              finishReason = {
+                unified: "error",
+                raw: undefined,
+              }
+              controller.enqueue({ type: "error", error: chunk.error })
+              return
+            }
+            const value = chunk.value
+
+            metadataExtractor?.processChunk(chunk.rawValue)
+
+            // handle error chunks:
+            if ("error" in value) {
+              finishReason = {
+                unified: "error",
+                raw: undefined,
+              }
+              controller.enqueue({ type: "error", error: value.error.message })
+              return
+            }
+
+            if (isFirstChunk) {
+              isFirstChunk = false
+
+              controller.enqueue({
+                type: "response-metadata",
+                ...getResponseMetadata(value),
+              })
+            }
+
+            if (value.usage != null) {
+              const {
+                prompt_tokens,
+                completion_tokens,
+                total_tokens,
+                prompt_tokens_details,
+                completion_tokens_details,
+              } = value.usage
+
+              usage.promptTokens = prompt_tokens ?? undefined
+              usage.completionTokens = completion_tokens ?? undefined
+              usage.totalTokens = total_tokens ?? undefined
+              if (completion_tokens_details?.reasoning_tokens != null) {
+                usage.completionTokensDetails.reasoningTokens = completion_tokens_details?.reasoning_tokens
+              }
+              if (completion_tokens_details?.accepted_prediction_tokens != null) {
+                usage.completionTokensDetails.acceptedPredictionTokens =
+                  completion_tokens_details?.accepted_prediction_tokens
+              }
+              if (completion_tokens_details?.rejected_prediction_tokens != null) {
+                usage.completionTokensDetails.rejectedPredictionTokens =
+                  completion_tokens_details?.rejected_prediction_tokens
+              }
+              if (prompt_tokens_details?.cached_tokens != null) {
+                usage.promptTokensDetails.cachedTokens = prompt_tokens_details?.cached_tokens
+              }
+            }
+
+            const choice = value.choices[0]
+
+            if (choice?.finish_reason != null) {
+              finishReason = {
+                unified: mapOpenAICompatibleFinishReason(choice.finish_reason),
+                raw: choice.finish_reason ?? undefined,
+              }
+            }
+
+            if (choice?.delta == null) {
+              return
+            }
+
+            const delta = choice.delta
+
+            // Capture reasoning_opaque for Copilot multi-turn reasoning
+            if (delta.reasoning_opaque) {
+              if (reasoningOpaque != null) {
+                throw new InvalidResponseDataError({
+                  data: delta,
+                  message:
+                    "Multiple reasoning_opaque values received in a single response. Only one thinking part per response is supported.",
+                })
+              }
+              reasoningOpaque = delta.reasoning_opaque
+            }
+
+            // enqueue reasoning before text deltas (Copilot uses reasoning_text):
+            const reasoningContent = delta.reasoning_text
+            if (reasoningContent) {
+              if (!isActiveReasoning) {
+                controller.enqueue({
+                  type: "reasoning-start",
+                  id: "reasoning-0",
+                })
+                isActiveReasoning = true
+              }
+
+              controller.enqueue({
+                type: "reasoning-delta",
+                id: "reasoning-0",
+                delta: reasoningContent,
+              })
+            }
+
+            if (delta.content) {
+              // If reasoning was active and we're starting text, end reasoning first
+              // This handles the case where reasoning_opaque and content come in the same chunk
+              if (isActiveReasoning && !isActiveText) {
+                controller.enqueue({
+                  type: "reasoning-end",
+                  id: "reasoning-0",
+                  providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                })
+                isActiveReasoning = false
+              }
+
+              if (!isActiveText) {
+                controller.enqueue({
+                  type: "text-start",
+                  id: "txt-0",
+                  providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                })
+                isActiveText = true
+              }
+
+              controller.enqueue({
+                type: "text-delta",
+                id: "txt-0",
+                delta: delta.content,
+              })
+            }
+
+            if (delta.tool_calls != null) {
+              // If reasoning was active and we're starting tool calls, end reasoning first
+              // This handles the case where reasoning goes directly to tool calls with no content
+              if (isActiveReasoning) {
+                controller.enqueue({
+                  type: "reasoning-end",
+                  id: "reasoning-0",
+                  providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                })
+                isActiveReasoning = false
+              }
+              for (const toolCallDelta of delta.tool_calls) {
+                const index = toolCallDelta.index
+
+                if (toolCalls[index] == null) {
+                  if (toolCallDelta.id == null) {
+                    throw new InvalidResponseDataError({
+                      data: toolCallDelta,
+                      message: `Expected 'id' to be a string.`,
+                    })
+                  }
+
+                  if (toolCallDelta.function?.name == null) {
+                    throw new InvalidResponseDataError({
+                      data: toolCallDelta,
+                      message: `Expected 'function.name' to be a string.`,
+                    })
+                  }
+
+                  controller.enqueue({
+                    type: "tool-input-start",
+                    id: toolCallDelta.id,
+                    toolName: toolCallDelta.function.name,
+                  })
+
+                  toolCalls[index] = {
+                    id: toolCallDelta.id,
+                    type: "function",
+                    function: {
+                      name: toolCallDelta.function.name,
+                      arguments: toolCallDelta.function.arguments ?? "",
+                    },
+                    hasFinished: false,
+                  }
+
+                  const toolCall = toolCalls[index]
+
+                  if (toolCall.function?.name != null && toolCall.function?.arguments != null) {
+                    // send delta if the argument text has already started:
+                    if (toolCall.function.arguments.length > 0) {
+                      controller.enqueue({
+                        type: "tool-input-delta",
+                        id: toolCall.id,
+                        delta: toolCall.function.arguments,
+                      })
+                    }
+
+                    // check if tool call is complete
+                    // (some providers send the full tool call in one chunk):
+                    if (isParsableJson(toolCall.function.arguments)) {
+                      controller.enqueue({
+                        type: "tool-input-end",
+                        id: toolCall.id,
+                      })
+
+                      controller.enqueue({
+                        type: "tool-call",
+                        toolCallId: toolCall.id ?? generateId(),
+                        toolName: toolCall.function.name,
+                        input: toolCall.function.arguments,
+                        providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                      })
+                      toolCall.hasFinished = true
+                    }
+                  }
+
+                  continue
+                }
+
+                // existing tool call, merge if not finished
+                const toolCall = toolCalls[index]
+
+                if (toolCall.hasFinished) {
+                  continue
+                }
+
+                if (toolCallDelta.function?.arguments != null) {
+                  toolCall.function!.arguments += toolCallDelta.function?.arguments ?? ""
+                }
+
+                // send delta
+                controller.enqueue({
+                  type: "tool-input-delta",
+                  id: toolCall.id,
+                  delta: toolCallDelta.function.arguments ?? "",
+                })
+
+                // check if tool call is complete
+                if (
+                  toolCall.function?.name != null &&
+                  toolCall.function?.arguments != null &&
+                  isParsableJson(toolCall.function.arguments)
+                ) {
+                  controller.enqueue({
+                    type: "tool-input-end",
+                    id: toolCall.id,
+                  })
+
+                  controller.enqueue({
+                    type: "tool-call",
+                    toolCallId: toolCall.id ?? generateId(),
+                    toolName: toolCall.function.name,
+                    input: toolCall.function.arguments,
+                    providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                  })
+                  toolCall.hasFinished = true
+                }
+              }
+            }
+          },
+
+          flush(controller) {
+            if (isActiveReasoning) {
+              controller.enqueue({
+                type: "reasoning-end",
+                id: "reasoning-0",
+                // Include reasoning_opaque for Copilot multi-turn reasoning
+                providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+              })
+            }
+
+            if (isActiveText) {
+              controller.enqueue({ type: "text-end", id: "txt-0" })
+            }
+
+            // go through all tool calls and send the ones that are not finished
+            for (const toolCall of toolCalls.filter((toolCall) => !toolCall.hasFinished)) {
+              controller.enqueue({
+                type: "tool-input-end",
+                id: toolCall.id,
+              })
+
+              controller.enqueue({
+                type: "tool-call",
+                toolCallId: toolCall.id ?? generateId(),
+                toolName: toolCall.function.name,
+                input: toolCall.function.arguments,
+              })
+            }
+
+            const providerMetadata: SharedV3ProviderMetadata = {
+              [providerOptionsName]: {},
+              // Include reasoning_opaque for Copilot multi-turn reasoning
+              ...(reasoningOpaque ? { copilot: { reasoningOpaque } } : {}),
+              ...metadataExtractor?.buildMetadata(),
+            }
+            if (usage.completionTokensDetails.acceptedPredictionTokens != null) {
+              providerMetadata[providerOptionsName].acceptedPredictionTokens =
+                usage.completionTokensDetails.acceptedPredictionTokens
+            }
+            if (usage.completionTokensDetails.rejectedPredictionTokens != null) {
+              providerMetadata[providerOptionsName].rejectedPredictionTokens =
+                usage.completionTokensDetails.rejectedPredictionTokens
+            }
+
+            controller.enqueue({
+              type: "finish",
+              finishReason,
+              usage: {
+                inputTokens: {
+                  total: usage.promptTokens,
+                  noCache:
+                    usage.promptTokens != undefined && usage.promptTokensDetails.cachedTokens != undefined
+                      ? usage.promptTokens - usage.promptTokensDetails.cachedTokens
+                      : undefined,
+                  cacheRead: usage.promptTokensDetails.cachedTokens,
+                  cacheWrite: undefined,
+                },
+                outputTokens: {
+                  total: usage.completionTokens,
+                  text: undefined,
+                  reasoning: usage.completionTokensDetails.reasoningTokens,
+                },
+                raw: {
+                  prompt_tokens: usage.promptTokens ?? null,
+                  completion_tokens: usage.completionTokens ?? null,
+                  total_tokens: usage.totalTokens ?? null,
+                },
+              },
+              providerMetadata,
+            })
+          },
+        }),
+      ),
+      request: { body },
+      response: { headers: responseHeaders },
+    }
+  }
+}
+
+const openaiCompatibleTokenUsageSchema = z
+  .object({
+    prompt_tokens: z.number().nullish(),
+    completion_tokens: z.number().nullish(),
+    total_tokens: z.number().nullish(),
+    prompt_tokens_details: z
+      .object({
+        cached_tokens: z.number().nullish(),
+      })
+      .nullish(),
+    completion_tokens_details: z
+      .object({
+        reasoning_tokens: z.number().nullish(),
+        accepted_prediction_tokens: z.number().nullish(),
+        rejected_prediction_tokens: z.number().nullish(),
+      })
+      .nullish(),
+  })
+  .nullish()
+
+// limited version of the schema, focussed on what is needed for the implementation
+// this approach limits breakages when the API changes and increases efficiency
+const OpenAICompatibleChatResponseSchema = z.object({
+  id: z.string().nullish(),
+  created: z.number().nullish(),
+  model: z.string().nullish(),
+  choices: z.array(
+    z.object({
+      message: z.object({
+        role: z.literal("assistant").nullish(),
+        content: z.string().nullish(),
+        // Copilot-specific reasoning fields
+        reasoning_text: z.string().nullish(),
+        reasoning_opaque: z.string().nullish(),
+        tool_calls: z
+          .array(
+            z.object({
+              id: z.string().nullish(),
+              function: z.object({
+                name: z.string(),
+                arguments: z.string(),
+              }),
+            }),
+          )
+          .nullish(),
+      }),
+      finish_reason: z.string().nullish(),
+    }),
+  ),
+  usage: openaiCompatibleTokenUsageSchema,
+})
+
+// limited version of the schema, focussed on what is needed for the implementation
+// this approach limits breakages when the API changes and increases efficiency
+const createOpenAICompatibleChatChunkSchema = <ERROR_SCHEMA extends z.core.$ZodType>(errorSchema: ERROR_SCHEMA) =>
+  z.union([
+    z.object({
+      id: z.string().nullish(),
+      created: z.number().nullish(),
+      model: z.string().nullish(),
+      choices: z.array(
+        z.object({
+          delta: z
+            .object({
+              role: z.enum(["assistant"]).nullish(),
+              content: z.string().nullish(),
+              // Copilot-specific reasoning fields
+              reasoning_text: z.string().nullish(),
+              reasoning_opaque: z.string().nullish(),
+              tool_calls: z
+                .array(
+                  z.object({
+                    index: z.number(),
+                    id: z.string().nullish(),
+                    function: z.object({
+                      name: z.string().nullish(),
+                      arguments: z.string().nullish(),
+                    }),
+                  }),
+                )
+                .nullish(),
+            })
+            .nullish(),
+          finish_reason: z.string().nullish(),
+        }),
+      ),
+      usage: openaiCompatibleTokenUsageSchema,
+    }),
+    errorSchema,
+  ])

packages/core/src/github-copilot/chat/openai-compatible-chat-options.ts

@@ -0,0 +1,28 @@
+import { z } from "zod/v4"
+
+export type OpenAICompatibleChatModelId = string
+
+export const openaiCompatibleProviderOptions = z.object({
+  /**
+   * A unique identifier representing your end-user, which can help the provider to
+   * monitor and detect abuse.
+   */
+  user: z.string().optional(),
+
+  /**
+   * Reasoning effort for reasoning models. Defaults to `medium`.
+   */
+  reasoningEffort: z.string().optional(),
+
+  /**
+   * Controls the verbosity of the generated text. Defaults to `medium`.
+   */
+  textVerbosity: z.string().optional(),
+
+  /**
+   * Copilot thinking_budget used for Anthropic models.
+   */
+  thinking_budget: z.number().optional(),
+})
+
+export type OpenAICompatibleProviderOptions = z.infer<typeof openaiCompatibleProviderOptions>

packages/core/src/github-copilot/chat/openai-compatible-metadata-extractor.ts

@@ -0,0 +1,44 @@
+import type { SharedV3ProviderMetadata } from "@ai-sdk/provider"
+
+/**
+Extracts provider-specific metadata from API responses.
+Used to standardize metadata handling across different LLM providers while allowing
+provider-specific metadata to be captured.
+*/
+export type MetadataExtractor = {
+  /**
+   * Extracts provider metadata from a complete, non-streaming response.
+   *
+   * @param parsedBody - The parsed response JSON body from the provider's API.
+   *
+   * @returns Provider-specific metadata or undefined if no metadata is available.
+   *          The metadata should be under a key indicating the provider id.
+   */
+  extractMetadata: ({ parsedBody }: { parsedBody: unknown }) => Promise<SharedV3ProviderMetadata | undefined>
+
+  /**
+   * Creates an extractor for handling streaming responses. The returned object provides
+   * methods to process individual chunks and build the final metadata from the accumulated
+   * stream data.
+   *
+   * @returns An object with methods to process chunks and build metadata from a stream
+   */
+  createStreamExtractor: () => {
+    /**
+     * Process an individual chunk from the stream. Called for each chunk in the response stream
+     * to accumulate metadata throughout the streaming process.
+     *
+     * @param parsedChunk - The parsed JSON response chunk from the provider's API
+     */
+    processChunk(parsedChunk: unknown): void
+
+    /**
+     * Builds the metadata object after all chunks have been processed.
+     * Called at the end of the stream to generate the complete provider metadata.
+     *
+     * @returns Provider-specific metadata or undefined if no metadata is available.
+     *          The metadata should be under a key indicating the provider id.
+     */
+    buildMetadata(): SharedV3ProviderMetadata | undefined
+  }
+}

packages/core/src/github-copilot/chat/openai-compatible-prepare-tools.ts

@@ -0,0 +1,83 @@
+import { type LanguageModelV3CallOptions, type SharedV3Warning, UnsupportedFunctionalityError } from "@ai-sdk/provider"
+
+export function prepareTools({
+  tools,
+  toolChoice,
+}: {
+  tools: LanguageModelV3CallOptions["tools"]
+  toolChoice?: LanguageModelV3CallOptions["toolChoice"]
+}): {
+  tools:
+    | undefined
+    | Array<{
+        type: "function"
+        function: {
+          name: string
+          description: string | undefined
+          parameters: unknown
+        }
+      }>
+  toolChoice: { type: "function"; function: { name: string } } | "auto" | "none" | "required" | undefined
+  toolWarnings: SharedV3Warning[]
+} {
+  // when the tools array is empty, change it to undefined to prevent errors:
+  tools = tools?.length ? tools : undefined
+
+  const toolWarnings: SharedV3Warning[] = []
+
+  if (tools == null) {
+    return { tools: undefined, toolChoice: undefined, toolWarnings }
+  }
+
+  const openaiCompatTools: Array<{
+    type: "function"
+    function: {
+      name: string
+      description: string | undefined
+      parameters: unknown
+    }
+  }> = []
+
+  for (const tool of tools) {
+    if (tool.type === "provider") {
+      toolWarnings.push({ type: "unsupported", feature: `tool type: ${tool.type}` })
+    } else {
+      openaiCompatTools.push({
+        type: "function",
+        function: {
+          name: tool.name,
+          description: tool.description,
+          parameters: tool.inputSchema,
+        },
+      })
+    }
+  }
+
+  if (toolChoice == null) {
+    return { tools: openaiCompatTools, toolChoice: undefined, toolWarnings }
+  }
+
+  const type = toolChoice.type
+
+  switch (type) {
+    case "auto":
+    case "none":
+    case "required":
+      return { tools: openaiCompatTools, toolChoice: type, toolWarnings }
+    case "tool":
+      return {
+        tools: openaiCompatTools,
+        toolChoice: {
+          type: "function",
+          function: { name: toolChoice.toolName },
+        },
+        toolWarnings,
+      }
+    default: {
+      const _exhaustiveCheck: never = type
+      throw new UnsupportedFunctionalityError({
+        functionality: `tool choice type: ${_exhaustiveCheck}`,
+      })
+    }
+  }
+}

packages/core/src/github-copilot/copilot-provider.ts

@@ -0,0 +1,100 @@
+import type { LanguageModelV3 } from "@ai-sdk/provider"
+import { type FetchFunction, withoutTrailingSlash, withUserAgentSuffix } from "@ai-sdk/provider-utils"
+import { OpenAICompatibleChatLanguageModel } from "./chat/openai-compatible-chat-language-model"
+import { OpenAIResponsesLanguageModel } from "./responses/openai-responses-language-model"
+
+// Import the version or define it
+const VERSION = "0.1.0"
+
+export type OpenaiCompatibleModelId = string
+
+export interface OpenaiCompatibleProviderSettings {
+  /**
+   * API key for authenticating requests.
+   */
+  apiKey?: string
+
+  /**
+   * Base URL for the OpenAI Compatible API calls.
+   */
+  baseURL?: string
+
+  /**
+   * Name of the provider.
+   */
+  name?: string
+
+  /**
+   * Custom headers to include in the requests.
+   */
+  headers?: Record<string, string>
+
+  /**
+   * Custom fetch implementation.
+   */
+  fetch?: FetchFunction
+}
+
+export interface OpenaiCompatibleProvider {
+  (modelId: OpenaiCompatibleModelId): LanguageModelV3
+  chat(modelId: OpenaiCompatibleModelId): LanguageModelV3
+  responses(modelId: OpenaiCompatibleModelId): LanguageModelV3
+  languageModel(modelId: OpenaiCompatibleModelId): LanguageModelV3
+
+  // embeddingModel(modelId: any): EmbeddingModelV2
+
+  // imageModel(modelId: any): ImageModelV2
+}
+
+/**
+ * Create an OpenAI Compatible provider instance.
+ */
+export function createOpenaiCompatible(options: OpenaiCompatibleProviderSettings = {}): OpenaiCompatibleProvider {
+  const baseURL = withoutTrailingSlash(options.baseURL ?? "https://api.openai.com/v1")
+
+  if (!baseURL) {
+    throw new Error("baseURL is required")
+  }
+
+  // Merge headers: defaults first, then user overrides
+  const headers = {
+    // Default OpenAI Compatible headers (can be overridden by user)
+    ...(options.apiKey && { Authorization: `Bearer ${options.apiKey}` }),
+    ...options.headers,
+  }
+
+  const getHeaders = () => withUserAgentSuffix(headers, `ai-sdk/openai-compatible/${VERSION}`)
+
+  const createChatModel = (modelId: OpenaiCompatibleModelId) => {
+    return new OpenAICompatibleChatLanguageModel(modelId, {
+      provider: `${options.name ?? "openai-compatible"}.chat`,
+      headers: getHeaders,
+      url: ({ path }) => `${baseURL}${path}`,
+      fetch: options.fetch,
+    })
+  }
+
+  const createResponsesModel = (modelId: OpenaiCompatibleModelId) => {
+    return new OpenAIResponsesLanguageModel(modelId, {
+      provider: `${options.name ?? "openai-compatible"}.responses`,
+      headers: getHeaders,
+      url: ({ path }) => `${baseURL}${path}`,
+      fetch: options.fetch,
+    })
+  }
+
+  const createLanguageModel = (modelId: OpenaiCompatibleModelId) => createChatModel(modelId)
+
+  const provider = function (modelId: OpenaiCompatibleModelId) {
+    return createChatModel(modelId)
+  }
+
+  provider.languageModel = createLanguageModel
+  provider.chat = createChatModel
+  provider.responses = createResponsesModel
+
+  return provider as OpenaiCompatibleProvider
+}
+
+// Default OpenAI Compatible provider instance
+export const openaiCompatible = createOpenaiCompatible()

packages/core/src/github-copilot/openai-compatible-error.ts

@@ -0,0 +1,27 @@
+import { z, type ZodType } from "zod/v4"
+
+export const openaiCompatibleErrorDataSchema = z.object({
+  error: z.object({
+    message: z.string(),
+
+    // The additional information below is handled loosely to support
+    // OpenAI-compatible providers that have slightly different error
+    // responses:
+    type: z.string().nullish(),
+    param: z.any().nullish(),
+    code: z.union([z.string(), z.number()]).nullish(),
+  }),
+})
+
+export type OpenAICompatibleErrorData = z.infer<typeof openaiCompatibleErrorDataSchema>
+
+export type ProviderErrorStructure<T> = {
+  errorSchema: ZodType<T>
+  errorToMessage: (error: T) => string
+  isRetryable?: (response: Response, error?: T) => boolean
+}
+
+export const defaultOpenAICompatibleErrorStructure: ProviderErrorStructure<OpenAICompatibleErrorData> = {
+  errorSchema: openaiCompatibleErrorDataSchema,
+  errorToMessage: (data) => data.error.message,
+}

packages/core/src/github-copilot/responses/convert-to-openai-responses-input.ts

@@ -0,0 +1,335 @@
+import {
+  type LanguageModelV3Prompt,
+  type LanguageModelV3ToolCallPart,
+  type SharedV3Warning,
+  UnsupportedFunctionalityError,
+} from "@ai-sdk/provider"
+import { convertToBase64, parseProviderOptions } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+import type { OpenAIResponsesInput, OpenAIResponsesReasoning } from "./openai-responses-api-types"
+import { localShellInputSchema, localShellOutputSchema } from "./tool/local-shell"
+
+/**
+ * Check if a string is a file ID based on the given prefixes
+ * Returns false if prefixes is undefined (disables file ID detection)
+ */
+function isFileId(data: string, prefixes?: readonly string[]): boolean {
+  if (!prefixes) return false
+  return prefixes.some((prefix) => data.startsWith(prefix))
+}
+
+export async function convertToOpenAIResponsesInput({
+  prompt,
+  systemMessageMode,
+  fileIdPrefixes,
+  store,
+  hasLocalShellTool = false,
+}: {
+  prompt: LanguageModelV3Prompt
+  systemMessageMode: "system" | "developer" | "remove"
+  fileIdPrefixes?: readonly string[]
+  store: boolean
+  hasLocalShellTool?: boolean
+}): Promise<{
+  input: OpenAIResponsesInput
+  warnings: Array<SharedV3Warning>
+}> {
+  const input: OpenAIResponsesInput = []
+  const warnings: Array<SharedV3Warning> = []
+  const processedApprovalIds = new Set<string>()
+
+  for (const { role, content } of prompt) {
+    switch (role) {
+      case "system": {
+        switch (systemMessageMode) {
+          case "system": {
+            input.push({ role: "system", content })
+            break
+          }
+          case "developer": {
+            input.push({ role: "developer", content })
+            break
+          }
+          case "remove": {
+            warnings.push({
+              type: "other",
+              message: "system messages are removed for this model",
+            })
+            break
+          }
+          default: {
+            const _exhaustiveCheck: never = systemMessageMode
+            throw new Error(`Unsupported system message mode: ${_exhaustiveCheck}`)
+          }
+        }
+        break
+      }
+
+      case "user": {
+        input.push({
+          role: "user",
+          content: content.map((part, index) => {
+            switch (part.type) {
+              case "text": {
+                return { type: "input_text", text: part.text }
+              }
+              case "file": {
+                if (part.mediaType.startsWith("image/")) {
+                  const mediaType = part.mediaType === "image/*" ? "image/jpeg" : part.mediaType
+
+                  return {
+                    type: "input_image",
+                    ...(part.data instanceof URL
+                      ? { image_url: part.data.toString() }
+                      : typeof part.data === "string" && isFileId(part.data, fileIdPrefixes)
+                        ? { file_id: part.data }
+                        : {
+                            image_url: `data:${mediaType};base64,${convertToBase64(part.data)}`,
+                          }),
+                    detail: part.providerOptions?.openai?.imageDetail,
+                  }
+                } else if (part.mediaType === "application/pdf") {
+                  if (part.data instanceof URL) {
+                    return {
+                      type: "input_file",
+                      file_url: part.data.toString(),
+                    }
+                  }
+                  return {
+                    type: "input_file",
+                    ...(typeof part.data === "string" && isFileId(part.data, fileIdPrefixes)
+                      ? { file_id: part.data }
+                      : {
+                          filename: part.filename ?? `part-${index}.pdf`,
+                          file_data: `data:application/pdf;base64,${convertToBase64(part.data)}`,
+                        }),
+                  }
+                } else {
+                  throw new UnsupportedFunctionalityError({
+                    functionality: `file part media type ${part.mediaType}`,
+                  })
+                }
+              }
+            }
+          }),
+        })
+
+        break
+      }
+
+      case "assistant": {
+        const reasoningMessages: Record<string, OpenAIResponsesReasoning> = {}
+        const toolCallParts: Record<string, LanguageModelV3ToolCallPart> = {}
+
+        for (const part of content) {
+          switch (part.type) {
+            case "text": {
+              input.push({
+                role: "assistant",
+                content: [{ type: "output_text", text: part.text }],
+                id: (part.providerOptions?.openai?.itemId as string) ?? undefined,
+              })
+              break
+            }
+            case "tool-call": {
+              toolCallParts[part.toolCallId] = part
+
+              if (part.providerExecuted) {
+                break
+              }
+
+              if (hasLocalShellTool && part.toolName === "local_shell") {
+                const parsedInput = localShellInputSchema.parse(part.input)
+                input.push({
+                  type: "local_shell_call",
+                  call_id: part.toolCallId,
+                  id: (part.providerOptions?.openai?.itemId as string) ?? undefined,
+                  action: {
+                    type: "exec",
+                    command: parsedInput.action.command,
+                    timeout_ms: parsedInput.action.timeoutMs,
+                    user: parsedInput.action.user,
+                    working_directory: parsedInput.action.workingDirectory,
+                    env: parsedInput.action.env,
+                  },
+                })
+
+                break
+              }
+
+              input.push({
+                type: "function_call",
+                call_id: part.toolCallId,
+                name: part.toolName,
+                arguments: JSON.stringify(part.input),
+                id: (part.providerOptions?.openai?.itemId as string) ?? undefined,
+              })
+              break
+            }
+
+            // assistant tool result parts are from provider-executed tools:
+            case "tool-result": {
+              if (store) {
+                // use item references to refer to tool results from built-in tools
+                input.push({ type: "item_reference", id: part.toolCallId })
+              } else {
+                warnings.push({
+                  type: "other",
+                  message: `Results for OpenAI tool ${part.toolName} are not sent to the API when store is false`,
+                })
+              }
+
+              break
+            }
+
+            case "reasoning": {
+              const providerOptions = await parseProviderOptions({
+                provider: "copilot",
+                providerOptions: part.providerOptions,
+                schema: openaiResponsesReasoningProviderOptionsSchema,
+              })
+
+              const reasoningId = providerOptions?.itemId
+
+              if (reasoningId != null) {
+                const reasoningMessage = reasoningMessages[reasoningId]
+
+                if (store) {
+                  if (reasoningMessage === undefined) {
+                    // use item references to refer to reasoning (single reference)
+                    input.push({ type: "item_reference", id: reasoningId })
+
+                    // store unused reasoning message to mark id as used
+                    reasoningMessages[reasoningId] = {
+                      type: "reasoning",
+                      id: reasoningId,
+                      summary: [],
+                    }
+                  }
+                } else {
+                  const summaryParts: Array<{
+                    type: "summary_text"
+                    text: string
+                  }> = []
+
+                  if (part.text.length > 0) {
+                    summaryParts.push({
+                      type: "summary_text",
+                      text: part.text,
+                    })
+                  } else if (reasoningMessage !== undefined) {
+                    warnings.push({
+                      type: "other",
+                      message: `Cannot append empty reasoning part to existing reasoning sequence. Skipping reasoning part: ${JSON.stringify(part)}.`,
+                    })
+                  }
+
+                  if (reasoningMessage === undefined) {
+                    reasoningMessages[reasoningId] = {
+                      type: "reasoning",
+                      id: reasoningId,
+                      encrypted_content: providerOptions?.reasoningEncryptedContent,
+                      summary: summaryParts,
+                    }
+                    input.push(reasoningMessages[reasoningId])
+                  } else {
+                    reasoningMessage.summary.push(...summaryParts)
+                  }
+                }
+              } else {
+                warnings.push({
+                  type: "other",
+                  message: `Non-OpenAI reasoning parts are not supported. Skipping reasoning part: ${JSON.stringify(part)}.`,
+                })
+              }
+              break
+            }
+          }
+        }
+
+        break
+      }
+
+      case "tool": {
+        for (const part of content) {
+          if (part.type === "tool-approval-response") {
+            if (processedApprovalIds.has(part.approvalId)) {
+              continue
+            }
+            processedApprovalIds.add(part.approvalId)
+
+            if (store) {
+              input.push({
+                type: "item_reference",
+                id: part.approvalId,
+              })
+            }
+
+            input.push({
+              type: "mcp_approval_response",
+              approval_request_id: part.approvalId,
+              approve: part.approved,
+            })
+            continue
+          }
+          const output = part.output
+
+          if (output.type === "execution-denied") {
+            const approvalId = (output.providerOptions?.openai as { approvalId?: string } | undefined)?.approvalId
+
+            if (approvalId) {
+              continue
+            }
+          }
+
+          if (hasLocalShellTool && part.toolName === "local_shell" && output.type === "json") {
+            input.push({
+              type: "local_shell_call_output",
+              call_id: part.toolCallId,
+              output: localShellOutputSchema.parse(output.value).output,
+            })
+            break
+          }
+
+          let contentValue: string
+          switch (output.type) {
+            case "text":
+            case "error-text":
+              contentValue = output.value
+              break
+            case "execution-denied":
+              contentValue = output.reason ?? "Tool execution denied."
+              break
+            case "content":
+            case "json":
+            case "error-json":
+              contentValue = JSON.stringify(output.value)
+              break
+          }
+
+          input.push({
+            type: "function_call_output",
+            call_id: part.toolCallId,
+            output: contentValue,
+          })
+        }
+
+        break
+      }
+
+      default: {
+        const _exhaustiveCheck: never = role
+        throw new Error(`Unsupported role: ${_exhaustiveCheck}`)
+      }
+    }
+  }
+
+  return { input, warnings }
+}
+
+const openaiResponsesReasoningProviderOptionsSchema = z.object({
+  itemId: z.string().nullish(),
+  reasoningEncryptedContent: z.string().nullish(),
+})
+
+export type OpenAIResponsesReasoningProviderOptions = z.infer<typeof openaiResponsesReasoningProviderOptionsSchema>

packages/core/src/github-copilot/responses/map-openai-responses-finish-reason.ts

@@ -0,0 +1,22 @@
+import type { LanguageModelV3FinishReason } from "@ai-sdk/provider"
+
+export function mapOpenAIResponseFinishReason({
+  finishReason,
+  hasFunctionCall,
+}: {
+  finishReason: string | null | undefined
+  // flag that checks if there have been client-side tool calls (not executed by openai)
+  hasFunctionCall: boolean
+}): LanguageModelV3FinishReason["unified"] {
+  switch (finishReason) {
+    case undefined:
+    case null:
+      return hasFunctionCall ? "tool-calls" : "stop"
+    case "max_output_tokens":
+      return "length"
+    case "content_filter":
+      return "content-filter"
+    default:
+      return hasFunctionCall ? "tool-calls" : "other"
+  }
+}

packages/core/src/github-copilot/responses/openai-config.ts

@@ -0,0 +1,18 @@
+import type { FetchFunction } from "@ai-sdk/provider-utils"
+
+export type OpenAIConfig = {
+  provider: string
+  url: (options: { modelId: string; path: string }) => string
+  headers: () => Record<string, string | undefined>
+  fetch?: FetchFunction
+  generateId?: () => string
+  /**
+   * File ID prefixes used to identify file IDs in Responses API.
+   * When undefined, all file data is treated as base64 content.
+   *
+   * Examples:
+   * - OpenAI: ['file-'] for IDs like 'file-abc123'
+   * - Azure OpenAI: ['assistant-'] for IDs like 'assistant-abc123'
+   */
+  fileIdPrefixes?: readonly string[]
+}

packages/core/src/github-copilot/responses/openai-error.ts

@@ -0,0 +1,22 @@
+import { z } from "zod/v4"
+import { createJsonErrorResponseHandler } from "@ai-sdk/provider-utils"
+
+export const openaiErrorDataSchema = z.object({
+  error: z.object({
+    message: z.string(),
+
+    // The additional information below is handled loosely to support
+    // OpenAI-compatible providers that have slightly different error
+    // responses:
+    type: z.string().nullish(),
+    param: z.any().nullish(),
+    code: z.union([z.string(), z.number()]).nullish(),
+  }),
+})
+
+export type OpenAIErrorData = z.infer<typeof openaiErrorDataSchema>
+
+export const openaiFailedResponseHandler: any = createJsonErrorResponseHandler({
+  errorSchema: openaiErrorDataSchema,
+  errorToMessage: (data) => data.error.message,
+})

packages/core/src/github-copilot/responses/openai-responses-api-types.ts

@@ -0,0 +1,214 @@
+import type { JSONSchema7 } from "@ai-sdk/provider"
+
+export type OpenAIResponsesInput = Array<OpenAIResponsesInputItem>
+
+export type OpenAIResponsesInputItem =
+  | OpenAIResponsesSystemMessage
+  | OpenAIResponsesUserMessage
+  | OpenAIResponsesAssistantMessage
+  | OpenAIResponsesFunctionCall
+  | OpenAIResponsesFunctionCallOutput
+  | OpenAIResponsesComputerCall
+  | OpenAIResponsesLocalShellCall
+  | OpenAIResponsesLocalShellCallOutput
+  | OpenAIResponsesReasoning
+  | OpenAIResponsesItemReference
+  | OpenAIResponsesMcpApprovalResponse
+
+export type OpenAIResponsesIncludeValue =
+  | "web_search_call.action.sources"
+  | "code_interpreter_call.outputs"
+  | "computer_call_output.output.image_url"
+  | "file_search_call.results"
+  | "message.input_image.image_url"
+  | "message.output_text.logprobs"
+  | "reasoning.encrypted_content"
+
+export type OpenAIResponsesIncludeOptions = Array<OpenAIResponsesIncludeValue> | undefined | null
+
+export type OpenAIResponsesSystemMessage = {
+  role: "system" | "developer"
+  content: string
+}
+
+export type OpenAIResponsesUserMessage = {
+  role: "user"
+  content: Array<
+    | { type: "input_text"; text: string }
+    | { type: "input_image"; image_url: string }
+    | { type: "input_image"; file_id: string }
+    | { type: "input_file"; file_url: string }
+    | { type: "input_file"; filename: string; file_data: string }
+    | { type: "input_file"; file_id: string }
+  >
+}
+
+export type OpenAIResponsesAssistantMessage = {
+  role: "assistant"
+  content: Array<{ type: "output_text"; text: string }>
+  id?: string
+}
+
+export type OpenAIResponsesFunctionCall = {
+  type: "function_call"
+  call_id: string
+  name: string
+  arguments: string
+  id?: string
+}
+
+export type OpenAIResponsesFunctionCallOutput = {
+  type: "function_call_output"
+  call_id: string
+  output: string
+}
+
+export type OpenAIResponsesComputerCall = {
+  type: "computer_call"
+  id: string
+  status?: string
+}
+
+export type OpenAIResponsesLocalShellCall = {
+  type: "local_shell_call"
+  id: string
+  call_id: string
+  action: {
+    type: "exec"
+    command: string[]
+    timeout_ms?: number
+    user?: string
+    working_directory?: string
+    env?: Record<string, string>
+  }
+}
+
+export type OpenAIResponsesLocalShellCallOutput = {
+  type: "local_shell_call_output"
+  call_id: string
+  output: string
+}
+
+export type OpenAIResponsesItemReference = {
+  type: "item_reference"
+  id: string
+}
+
+export type OpenAIResponsesMcpApprovalResponse = {
+  type: "mcp_approval_response"
+  approval_request_id: string
+  approve: boolean
+}
+
+/**
+ * A filter used to compare a specified attribute key to a given value using a defined comparison operation.
+ */
+export type OpenAIResponsesFileSearchToolComparisonFilter = {
+  /**
+   * The key to compare against the value.
+   */
+  key: string
+
+  /**
+   * Specifies the comparison operator: eq, ne, gt, gte, lt, lte.
+   */
+  type: "eq" | "ne" | "gt" | "gte" | "lt" | "lte"
+
+  /**
+   * The value to compare against the attribute key; supports string, number, or boolean types.
+   */
+  value: string | number | boolean
+}
+
+/**
+ * Combine multiple filters using and or or.
+ */
+export type OpenAIResponsesFileSearchToolCompoundFilter = {
+  /**
+   * Type of operation: and or or.
+   */
+  type: "and" | "or"
+
+  /**
+   * Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
+   */
+  filters: Array<OpenAIResponsesFileSearchToolComparisonFilter | OpenAIResponsesFileSearchToolCompoundFilter>
+}
+
+export type OpenAIResponsesTool =
+  | {
+      type: "function"
+      name: string
+      description: string | undefined
+      parameters: JSONSchema7
+      strict: boolean | undefined
+    }
+  | {
+      type: "web_search"
+      filters: { allowed_domains: string[] | undefined } | undefined
+      search_context_size: "low" | "medium" | "high" | undefined
+      user_location:
+        | {
+            type: "approximate"
+            city?: string
+            country?: string
+            region?: string
+            timezone?: string
+          }
+        | undefined
+    }
+  | {
+      type: "web_search_preview"
+      search_context_size: "low" | "medium" | "high" | undefined
+      user_location:
+        | {
+            type: "approximate"
+            city?: string
+            country?: string
+            region?: string
+            timezone?: string
+          }
+        | undefined
+    }
+  | {
+      type: "code_interpreter"
+      container: string | { type: "auto"; file_ids: string[] | undefined }
+    }
+  | {
+      type: "file_search"
+      vector_store_ids: string[]
+      max_num_results: number | undefined
+      ranking_options: { ranker?: string; score_threshold?: number } | undefined
+      filters: OpenAIResponsesFileSearchToolComparisonFilter | OpenAIResponsesFileSearchToolCompoundFilter | undefined
+    }
+  | {
+      type: "image_generation"
+      background: "auto" | "opaque" | "transparent" | undefined
+      input_fidelity: "low" | "high" | undefined
+      input_image_mask:
+        | {
+            file_id: string | undefined
+            image_url: string | undefined
+          }
+        | undefined
+      model: string | undefined
+      moderation: "auto" | undefined
+      output_compression: number | undefined
+      output_format: "png" | "jpeg" | "webp" | undefined
+      partial_images: number | undefined
+      quality: "auto" | "low" | "medium" | "high" | undefined
+      size: "auto" | "1024x1024" | "1024x1536" | "1536x1024" | undefined
+    }
+  | {
+      type: "local_shell"
+    }
+
+export type OpenAIResponsesReasoning = {
+  type: "reasoning"
+  id: string
+  encrypted_content?: string | null
+  summary: Array<{
+    type: "summary_text"
+    text: string
+  }>
+}

packages/core/src/github-copilot/responses/openai-responses-prepare-tools.ts

@@ -0,0 +1,173 @@
+import { type LanguageModelV3CallOptions, type SharedV3Warning, UnsupportedFunctionalityError } from "@ai-sdk/provider"
+import { codeInterpreterArgsSchema } from "./tool/code-interpreter"
+import { fileSearchArgsSchema } from "./tool/file-search"
+import { webSearchArgsSchema } from "./tool/web-search"
+import { webSearchPreviewArgsSchema } from "./tool/web-search-preview"
+import { imageGenerationArgsSchema } from "./tool/image-generation"
+import type { OpenAIResponsesTool } from "./openai-responses-api-types"
+
+export function prepareResponsesTools({
+  tools,
+  toolChoice,
+  strictJsonSchema,
+}: {
+  tools: LanguageModelV3CallOptions["tools"]
+  toolChoice?: LanguageModelV3CallOptions["toolChoice"]
+  strictJsonSchema: boolean
+}): {
+  tools?: Array<OpenAIResponsesTool>
+  toolChoice?:
+    | "auto"
+    | "none"
+    | "required"
+    | { type: "file_search" }
+    | { type: "web_search_preview" }
+    | { type: "web_search" }
+    | { type: "function"; name: string }
+    | { type: "code_interpreter" }
+    | { type: "image_generation" }
+  toolWarnings: SharedV3Warning[]
+} {
+  // when the tools array is empty, change it to undefined to prevent errors:
+  tools = tools?.length ? tools : undefined
+
+  const toolWarnings: SharedV3Warning[] = []
+
+  if (tools == null) {
+    return { tools: undefined, toolChoice: undefined, toolWarnings }
+  }
+
+  const openaiTools: Array<OpenAIResponsesTool> = []
+
+  for (const tool of tools) {
+    switch (tool.type) {
+      case "function":
+        openaiTools.push({
+          type: "function",
+          name: tool.name,
+          description: tool.description,
+          parameters: tool.inputSchema,
+          strict: strictJsonSchema,
+        })
+        break
+      case "provider": {
+        switch (tool.id) {
+          case "openai.file_search": {
+            const args = fileSearchArgsSchema.parse(tool.args)
+
+            openaiTools.push({
+              type: "file_search",
+              vector_store_ids: args.vectorStoreIds,
+              max_num_results: args.maxNumResults,
+              ranking_options: args.ranking
+                ? {
+                    ranker: args.ranking.ranker,
+                    score_threshold: args.ranking.scoreThreshold,
+                  }
+                : undefined,
+              filters: args.filters,
+            })
+
+            break
+          }
+          case "openai.local_shell": {
+            openaiTools.push({
+              type: "local_shell",
+            })
+            break
+          }
+          case "openai.web_search_preview": {
+            const args = webSearchPreviewArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "web_search_preview",
+              search_context_size: args.searchContextSize,
+              user_location: args.userLocation,
+            })
+            break
+          }
+          case "openai.web_search": {
+            const args = webSearchArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "web_search",
+              filters: args.filters != null ? { allowed_domains: args.filters.allowedDomains } : undefined,
+              search_context_size: args.searchContextSize,
+              user_location: args.userLocation,
+            })
+            break
+          }
+          case "openai.code_interpreter": {
+            const args = codeInterpreterArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "code_interpreter",
+              container:
+                args.container == null
+                  ? { type: "auto", file_ids: undefined }
+                  : typeof args.container === "string"
+                    ? args.container
+                    : { type: "auto", file_ids: args.container.fileIds },
+            })
+            break
+          }
+          case "openai.image_generation": {
+            const args = imageGenerationArgsSchema.parse(tool.args)
+            openaiTools.push({
+              type: "image_generation",
+              background: args.background,
+              input_fidelity: args.inputFidelity,
+              input_image_mask: args.inputImageMask
+                ? {
+                    file_id: args.inputImageMask.fileId,
+                    image_url: args.inputImageMask.imageUrl,
+                  }
+                : undefined,
+              model: args.model,
+              moderation: args.moderation,
+              partial_images: args.partialImages,
+              quality: args.quality,
+              output_compression: args.outputCompression,
+              output_format: args.outputFormat,
+              size: args.size,
+            })
+            break
+          }
+        }
+        break
+      }
+      default:
+        toolWarnings.push({ type: "unsupported", feature: "tool type" })
+        break
+    }
+  }
+
+  if (toolChoice == null) {
+    return { tools: openaiTools, toolChoice: undefined, toolWarnings }
+  }
+
+  const type = toolChoice.type
+
+  switch (type) {
+    case "auto":
+    case "none":
+    case "required":
+      return { tools: openaiTools, toolChoice: type, toolWarnings }
+    case "tool":
+      return {
+        tools: openaiTools,
+        toolChoice:
+          toolChoice.toolName === "code_interpreter" ||
+          toolChoice.toolName === "file_search" ||
+          toolChoice.toolName === "image_generation" ||
+          toolChoice.toolName === "web_search_preview" ||
+          toolChoice.toolName === "web_search"
+            ? { type: toolChoice.toolName }
+            : { type: "function", name: toolChoice.toolName },
+        toolWarnings,
+      }
+    default: {
+      const _exhaustiveCheck: never = type
+      throw new UnsupportedFunctionalityError({
+        functionality: `tool choice type: ${_exhaustiveCheck}`,
+      })
+    }
+  }
+}

packages/core/src/github-copilot/responses/openai-responses-settings.ts

@@ -0,0 +1 @@
+export type OpenAIResponsesModelId = string

packages/core/src/github-copilot/responses/tool/code-interpreter.ts

@@ -0,0 +1,87 @@
+import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const codeInterpreterInputSchema = z.object({
+  code: z.string().nullish(),
+  containerId: z.string(),
+})
+
+export const codeInterpreterOutputSchema = z.object({
+  outputs: z
+    .array(
+      z.discriminatedUnion("type", [
+        z.object({ type: z.literal("logs"), logs: z.string() }),
+        z.object({ type: z.literal("image"), url: z.string() }),
+      ]),
+    )
+    .nullish(),
+})
+
+export const codeInterpreterArgsSchema = z.object({
+  container: z
+    .union([
+      z.string(),
+      z.object({
+        fileIds: z.array(z.string()).optional(),
+      }),
+    ])
+    .optional(),
+})
+
+type CodeInterpreterArgs = {
+  /**
+   * The code interpreter container.
+   * Can be a container ID
+   * or an object that specifies uploaded file IDs to make available to your code.
+   */
+  container?: string | { fileIds?: string[] }
+}
+
+export const codeInterpreterToolFactory = createProviderToolFactoryWithOutputSchema<
+  {
+    /**
+     * The code to run, or null if not available.
+     */
+    code?: string | null
+
+    /**
+     * The ID of the container used to run the code.
+     */
+    containerId: string
+  },
+  {
+    /**
+     * The outputs generated by the code interpreter, such as logs or images.
+     * Can be null if no outputs are available.
+     */
+    outputs?: Array<
+      | {
+          type: "logs"
+
+          /**
+           * The logs output from the code interpreter.
+           */
+          logs: string
+        }
+      | {
+          type: "image"
+
+          /**
+           * The URL of the image output from the code interpreter.
+           */
+          url: string
+        }
+    > | null
+  },
+  CodeInterpreterArgs
+>({
+  id: "openai.code_interpreter",
+  inputSchema: codeInterpreterInputSchema,
+  outputSchema: codeInterpreterOutputSchema,
+})
+
+export const codeInterpreter = (
+  args: CodeInterpreterArgs = {}, // default
+) => {
+  return codeInterpreterToolFactory(args)
+}

packages/core/src/github-copilot/responses/tool/file-search.ts

@@ -0,0 +1,127 @@
+import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import type {
+  OpenAIResponsesFileSearchToolComparisonFilter,
+  OpenAIResponsesFileSearchToolCompoundFilter,
+} from "../openai-responses-api-types"
+import { z } from "zod/v4"
+
+const comparisonFilterSchema = z.object({
+  key: z.string(),
+  type: z.enum(["eq", "ne", "gt", "gte", "lt", "lte"]),
+  value: z.union([z.string(), z.number(), z.boolean()]),
+})
+
+const compoundFilterSchema: z.ZodType<any> = z.object({
+  type: z.enum(["and", "or"]),
+  filters: z.array(z.union([comparisonFilterSchema, z.lazy(() => compoundFilterSchema)])),
+})
+
+export const fileSearchArgsSchema = z.object({
+  vectorStoreIds: z.array(z.string()),
+  maxNumResults: z.number().optional(),
+  ranking: z
+    .object({
+      ranker: z.string().optional(),
+      scoreThreshold: z.number().optional(),
+    })
+    .optional(),
+  filters: z.union([comparisonFilterSchema, compoundFilterSchema]).optional(),
+})
+
+export const fileSearchOutputSchema = z.object({
+  queries: z.array(z.string()),
+  results: z
+    .array(
+      z.object({
+        attributes: z.record(z.string(), z.unknown()),
+        fileId: z.string(),
+        filename: z.string(),
+        score: z.number(),
+        text: z.string(),
+      }),
+    )
+    .nullable(),
+})
+
+export const fileSearch = createProviderToolFactoryWithOutputSchema<
+  {},
+  {
+    /**
+     * The search query to execute.
+     */
+    queries: string[]
+
+    /**
+     * The results of the file search tool call.
+     */
+    results:
+      | null
+      | {
+          /**
+           * Set of 16 key-value pairs that can be attached to an object.
+           * This can be useful for storing additional information about the object
+           * in a structured format, and querying for objects via API or the dashboard.
+           * Keys are strings with a maximum length of 64 characters.
+           * Values are strings with a maximum length of 512 characters, booleans, or numbers.
+           */
+          attributes: Record<string, unknown>
+
+          /**
+           * The unique ID of the file.
+           */
+          fileId: string
+
+          /**
+           * The name of the file.
+           */
+          filename: string
+
+          /**
+           * The relevance score of the file - a value between 0 and 1.
+           */
+          score: number
+
+          /**
+           * The text that was retrieved from the file.
+           */
+          text: string
+        }[]
+  },
+  {
+    /**
+     * List of vector store IDs to search through.
+     */
+    vectorStoreIds: string[]
+
+    /**
+     * Maximum number of search results to return. Defaults to 10.
+     */
+    maxNumResults?: number
+
+    /**
+     * Ranking options for the search.
+     */
+    ranking?: {
+      /**
+       * The ranker to use for the file search.
+       */
+      ranker?: string
+
+      /**
+       * The score threshold for the file search, a number between 0 and 1.
+       * Numbers closer to 1 will attempt to return only the most relevant results,
+       * but may return fewer results.
+       */
+      scoreThreshold?: number
+    }
+
+    /**
+     * A filter to apply.
+     */
+    filters?: OpenAIResponsesFileSearchToolComparisonFilter | OpenAIResponsesFileSearchToolCompoundFilter
+  }
+>({
+  id: "openai.file_search",
+  inputSchema: z.object({}),
+  outputSchema: fileSearchOutputSchema,
+})

packages/core/src/github-copilot/responses/tool/image-generation.ts

@@ -0,0 +1,114 @@
+import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const imageGenerationArgsSchema = z
+  .object({
+    background: z.enum(["auto", "opaque", "transparent"]).optional(),
+    inputFidelity: z.enum(["low", "high"]).optional(),
+    inputImageMask: z
+      .object({
+        fileId: z.string().optional(),
+        imageUrl: z.string().optional(),
+      })
+      .optional(),
+    model: z.string().optional(),
+    moderation: z.enum(["auto"]).optional(),
+    outputCompression: z.number().int().min(0).max(100).optional(),
+    outputFormat: z.enum(["png", "jpeg", "webp"]).optional(),
+    partialImages: z.number().int().min(0).max(3).optional(),
+    quality: z.enum(["auto", "low", "medium", "high"]).optional(),
+    size: z.enum(["1024x1024", "1024x1536", "1536x1024", "auto"]).optional(),
+  })
+  .strict()
+
+export const imageGenerationOutputSchema = z.object({
+  result: z.string(),
+})
+
+type ImageGenerationArgs = {
+  /**
+   * Background type for the generated image. Default is 'auto'.
+   */
+  background?: "auto" | "opaque" | "transparent"
+
+  /**
+   * Input fidelity for the generated image. Default is 'low'.
+   */
+  inputFidelity?: "low" | "high"
+
+  /**
+   * Optional mask for inpainting.
+   * Contains image_url (string, optional) and file_id (string, optional).
+   */
+  inputImageMask?: {
+    /**
+     * File ID for the mask image.
+     */
+    fileId?: string
+
+    /**
+     * Base64-encoded mask image.
+     */
+    imageUrl?: string
+  }
+
+  /**
+   * The image generation model to use. Default: gpt-image-1.
+   */
+  model?: string
+
+  /**
+   * Moderation level for the generated image. Default: auto.
+   */
+  moderation?: "auto"
+
+  /**
+   * Compression level for the output image. Default: 100.
+   */
+  outputCompression?: number
+
+  /**
+   * The output format of the generated image. One of png, webp, or jpeg.
+   * Default: png
+   */
+  outputFormat?: "png" | "jpeg" | "webp"
+
+  /**
+   * Number of partial images to generate in streaming mode, from 0 (default value) to 3.
+   */
+  partialImages?: number
+
+  /**
+   * The quality of the generated image.
+   * One of low, medium, high, or auto. Default: auto.
+   */
+  quality?: "auto" | "low" | "medium" | "high"
+
+  /**
+   * The size of the generated image.
+   * One of 1024x1024, 1024x1536, 1536x1024, or auto.
+   * Default: auto.
+   */
+  size?: "auto" | "1024x1024" | "1024x1536" | "1536x1024"
+}
+
+const imageGenerationToolFactory = createProviderToolFactoryWithOutputSchema<
+  {},
+  {
+    /**
+     * The generated image encoded in base64.
+     */
+    result: string
+  },
+  ImageGenerationArgs
+>({
+  id: "openai.image_generation",
+  inputSchema: z.object({}),
+  outputSchema: imageGenerationOutputSchema,
+})
+
+export const imageGeneration = (
+  args: ImageGenerationArgs = {}, // default
+) => {
+  return imageGenerationToolFactory(args)
+}

packages/core/src/github-copilot/responses/tool/local-shell.ts

@@ -0,0 +1,64 @@
+import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const localShellInputSchema = z.object({
+  action: z.object({
+    type: z.literal("exec"),
+    command: z.array(z.string()),
+    timeoutMs: z.number().optional(),
+    user: z.string().optional(),
+    workingDirectory: z.string().optional(),
+    env: z.record(z.string(), z.string()).optional(),
+  }),
+})
+
+export const localShellOutputSchema = z.object({
+  output: z.string(),
+})
+
+export const localShell = createProviderToolFactoryWithOutputSchema<
+  {
+    /**
+     * Execute a shell command on the server.
+     */
+    action: {
+      type: "exec"
+
+      /**
+       * The command to run.
+       */
+      command: string[]
+
+      /**
+       * Optional timeout in milliseconds for the command.
+       */
+      timeoutMs?: number
+
+      /**
+       * Optional user to run the command as.
+       */
+      user?: string
+
+      /**
+       * Optional working directory to run the command in.
+       */
+      workingDirectory?: string
+
+      /**
+       * Environment variables to set for the command.
+       */
+      env?: Record<string, string>
+    }
+  },
+  {
+    /**
+     * The output of local shell tool call.
+     */
+    output: string
+  },
+  {}
+>({
+  id: "openai.local_shell",
+  inputSchema: localShellInputSchema,
+  outputSchema: localShellOutputSchema,
+})

packages/core/src/github-copilot/responses/tool/web-search-preview.ts

@@ -0,0 +1,103 @@
+import { createProviderToolFactory } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+// Args validation schema
+export const webSearchPreviewArgsSchema = z.object({
+  /**
+   * Search context size to use for the web search.
+   * - high: Most comprehensive context, highest cost, slower response
+   * - medium: Balanced context, cost, and latency (default)
+   * - low: Least context, lowest cost, fastest response
+   */
+  searchContextSize: z.enum(["low", "medium", "high"]).optional(),
+
+  /**
+   * User location information to provide geographically relevant search results.
+   */
+  userLocation: z
+    .object({
+      /**
+       * Type of location (always 'approximate')
+       */
+      type: z.literal("approximate"),
+      /**
+       * Two-letter ISO country code (e.g., 'US', 'GB')
+       */
+      country: z.string().optional(),
+      /**
+       * City name (free text, e.g., 'Minneapolis')
+       */
+      city: z.string().optional(),
+      /**
+       * Region name (free text, e.g., 'Minnesota')
+       */
+      region: z.string().optional(),
+      /**
+       * IANA timezone (e.g., 'America/Chicago')
+       */
+      timezone: z.string().optional(),
+    })
+    .optional(),
+})
+
+export const webSearchPreview = createProviderToolFactory<
+  {
+    // Web search doesn't take input parameters - it's controlled by the prompt
+  },
+  {
+    /**
+     * Search context size to use for the web search.
+     * - high: Most comprehensive context, highest cost, slower response
+     * - medium: Balanced context, cost, and latency (default)
+     * - low: Least context, lowest cost, fastest response
+     */
+    searchContextSize?: "low" | "medium" | "high"
+
+    /**
+     * User location information to provide geographically relevant search results.
+     */
+    userLocation?: {
+      /**
+       * Type of location (always 'approximate')
+       */
+      type: "approximate"
+      /**
+       * Two-letter ISO country code (e.g., 'US', 'GB')
+       */
+      country?: string
+      /**
+       * City name (free text, e.g., 'Minneapolis')
+       */
+      city?: string
+      /**
+       * Region name (free text, e.g., 'Minnesota')
+       */
+      region?: string
+      /**
+       * IANA timezone (e.g., 'America/Chicago')
+       */
+      timezone?: string
+    }
+  }
+>({
+  id: "openai.web_search_preview",
+  inputSchema: z.object({
+    action: z
+      .discriminatedUnion("type", [
+        z.object({
+          type: z.literal("search"),
+          query: z.string().nullish(),
+        }),
+        z.object({
+          type: z.literal("open_page"),
+          url: z.string(),
+        }),
+        z.object({
+          type: z.literal("find"),
+          url: z.string(),
+          pattern: z.string(),
+        }),
+      ])
+      .nullish(),
+  }),
+})

packages/core/src/github-copilot/responses/tool/web-search.ts

@@ -0,0 +1,102 @@
+import { createProviderToolFactory } from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+
+export const webSearchArgsSchema = z.object({
+  filters: z
+    .object({
+      allowedDomains: z.array(z.string()).optional(),
+    })
+    .optional(),
+
+  searchContextSize: z.enum(["low", "medium", "high"]).optional(),
+
+  userLocation: z
+    .object({
+      type: z.literal("approximate"),
+      country: z.string().optional(),
+      city: z.string().optional(),
+      region: z.string().optional(),
+      timezone: z.string().optional(),
+    })
+    .optional(),
+})
+
+export const webSearchToolFactory = createProviderToolFactory<
+  {
+    // Web search doesn't take input parameters - it's controlled by the prompt
+  },
+  {
+    /**
+     * Filters for the search.
+     */
+    filters?: {
+      /**
+       * Allowed domains for the search.
+       * If not provided, all domains are allowed.
+       * Subdomains of the provided domains are allowed as well.
+       */
+      allowedDomains?: string[]
+    }
+
+    /**
+     * Search context size to use for the web search.
+     * - high: Most comprehensive context, highest cost, slower response
+     * - medium: Balanced context, cost, and latency (default)
+     * - low: Least context, lowest cost, fastest response
+     */
+    searchContextSize?: "low" | "medium" | "high"
+
+    /**
+     * User location information to provide geographically relevant search results.
+     */
+    userLocation?: {
+      /**
+       * Type of location (always 'approximate')
+       */
+      type: "approximate"
+      /**
+       * Two-letter ISO country code (e.g., 'US', 'GB')
+       */
+      country?: string
+      /**
+       * City name (free text, e.g., 'Minneapolis')
+       */
+      city?: string
+      /**
+       * Region name (free text, e.g., 'Minnesota')
+       */
+      region?: string
+      /**
+       * IANA timezone (e.g., 'America/Chicago')
+       */
+      timezone?: string
+    }
+  }
+>({
+  id: "openai.web_search",
+  inputSchema: z.object({
+    action: z
+      .discriminatedUnion("type", [
+        z.object({
+          type: z.literal("search"),
+          query: z.string().nullish(),
+        }),
+        z.object({
+          type: z.literal("open_page"),
+          url: z.string(),
+        }),
+        z.object({
+          type: z.literal("find"),
+          url: z.string(),
+          pattern: z.string(),
+        }),
+      ])
+      .nullish(),
+  }),
+})
+
+export const webSearch = (
+  args: Parameters<typeof webSearchToolFactory>[0] = {}, // default
+) => {
+  return webSearchToolFactory(args)
+}

packages/core/src/model.ts

@@ -0,0 +1,116 @@
+import { DateTime, Schema } from "effect"
+import { DateTimeUtcFromMillis } from "effect/Schema"
+import { ProviderV2 } from "./provider"
+
+export const ID = Schema.String.pipe(Schema.brand("ModelV2.ID"))
+export type ID = typeof ID.Type
+
+export const VariantID = Schema.String.pipe(Schema.brand("VariantID"))
+export type VariantID = typeof VariantID.Type
+
+// Grouping of models, eg claude opus, claude sonnet
+export const Family = Schema.String.pipe(Schema.brand("Family"))
+export type Family = typeof Family.Type
+
+export const Capabilities = Schema.Struct({
+  tools: Schema.Boolean,
+  // mime patterns, image, audio, video/*, text/*
+  input: Schema.String.pipe(Schema.Array),
+  output: Schema.String.pipe(Schema.Array),
+})
+export type Capabilities = typeof Capabilities.Type
+
+export const Cost = Schema.Struct({
+  tier: Schema.Struct({
+    type: Schema.Literal("context"),
+    size: Schema.Int,
+  }).pipe(Schema.optional),
+  input: Schema.Finite,
+  output: Schema.Finite,
+  cache: Schema.Struct({
+    read: Schema.Finite,
+    write: Schema.Finite,
+  }),
+})
+
+export const Ref = Schema.Struct({
+  id: ID,
+  providerID: ProviderV2.ID,
+  variant: VariantID,
+})
+export type Ref = typeof Ref.Type
+
+export class Info extends Schema.Class<Info>("ModelV2.Info")({
+  id: ID,
+  apiID: ID,
+  providerID: ProviderV2.ID,
+  family: Family.pipe(Schema.optional),
+  name: Schema.String,
+  endpoint: ProviderV2.Endpoint,
+  capabilities: Capabilities,
+  options: Schema.Struct({
+    ...ProviderV2.Options.fields,
+    variant: Schema.String.pipe(Schema.optional),
+  }),
+  variants: Schema.Struct({
+    id: VariantID,
+    ...ProviderV2.Options.fields,
+  }).pipe(Schema.Array),
+  time: Schema.Struct({
+    released: DateTimeUtcFromMillis,
+  }),
+  cost: Cost.pipe(Schema.Array),
+  status: Schema.Literals(["alpha", "beta", "deprecated", "active"]),
+  enabled: Schema.Boolean,
+  limit: Schema.Struct({
+    context: Schema.Int,
+    input: Schema.Int.pipe(Schema.optional),
+    output: Schema.Int,
+  }),
+}) {
+  static empty(providerID: ProviderV2.ID, modelID: ID) {
+    return new Info({
+      id: modelID,
+      apiID: modelID,
+      providerID,
+      name: modelID,
+      endpoint: {
+        type: "unknown",
+      },
+      capabilities: {
+        tools: false,
+        input: [],
+        output: [],
+      },
+      options: {
+        headers: {},
+        body: {},
+        aisdk: {
+          provider: {},
+          request: {},
+        },
+      },
+      variants: [],
+      time: {
+        released: DateTime.makeUnsafe(0),
+      },
+      cost: [],
+      status: "active",
+      enabled: true,
+      limit: {
+        context: 0,
+        output: 0,
+      },
+    })
+  }
+}
+
+export function parse(input: string): { providerID: ProviderV2.ID; modelID: ID } {
+  const [providerID, ...modelID] = input.split("/")
+  return {
+    providerID: ProviderV2.ID.make(providerID),
+    modelID: ID.make(modelID.join("/")),
+  }
+}
+
+export * as ModelV2 from "./model"

packages/core/src/plugin.ts

@@ -0,0 +1,146 @@
+export * as PluginV2 from "./plugin"
+
+import { createDraft, finishDraft, type Draft } from "immer"
+import type { LanguageModelV3 } from "@ai-sdk/provider"
+import { type ProviderV2 } from "./provider"
+import { Context, Effect, Layer, Schema } from "effect"
+import type { ModelV2 } from "./model"
+
+export const ID = Schema.String.pipe(Schema.brand("Plugin.ID"))
+export type ID = typeof ID.Type
+
+type HookSpec = {
+  "provider.update": {
+    input: {}
+    output: {
+      provider: ProviderV2.Info
+      cancel: boolean
+    }
+  }
+  "model.update": {
+    input: {}
+    output: {
+      model: ModelV2.Info
+      cancel: boolean
+    }
+  }
+  "aisdk.language": {
+    input: {
+      model: ModelV2.Info
+      sdk: any
+      options: Record<string, any>
+    }
+    output: {
+      language?: LanguageModelV3
+    }
+  }
+  "aisdk.sdk": {
+    input: {
+      model: ModelV2.Info
+      package: string
+      options: Record<string, any>
+    }
+    output: {
+      sdk?: any
+    }
+  }
+}
+
+export type Hooks = {
+  [Name in keyof HookSpec]: Readonly<HookSpec[Name]["input"]> & {
+    -readonly [Field in keyof HookSpec[Name]["output"]]: HookSpec[Name]["output"][Field] extends object
+      ? Draft<HookSpec[Name]["output"][Field]>
+      : HookSpec[Name]["output"][Field]
+  }
+}
+
+export type HookFunctions = {
+  [key in keyof Hooks]?: (input: Hooks[key]) => Effect.Effect<void>
+}
+
+export type HookInput<Name extends keyof Hooks> = HookSpec[Name]["input"]
+export type HookOutput<Name extends keyof Hooks> = HookSpec[Name]["output"]
+
+export type Effect = Effect.Effect<HookFunctions | void, never, never>
+
+export function define<R>(input: { id: ID; effect: Effect.Effect<HookFunctions | void, never, R> }) {
+  return input
+}
+
+export interface Interface {
+  readonly add: (input: { id: ID; effect: Effect }) => Effect.Effect<void>
+  readonly remove: (id: ID) => Effect.Effect<void>
+  readonly trigger: <Name extends keyof Hooks>(
+    name: Name,
+    input: HookInput<Name>,
+    output: HookOutput<Name>,
+  ) => Effect.Effect<HookInput<Name> & HookOutput<Name>>
+}
+
+export class Service extends Context.Service<Service, Interface>()("@opencode/v2/Plugin") {}
+
+export const layer = Layer.effect(
+  Service,
+  Effect.gen(function* () {
+    let hooks: {
+      id: ID
+      hooks: HookFunctions
+    }[] = []
+
+    const svc = Service.of({
+      add: Effect.fn("Plugin.add")(function* (input) {
+        const result = yield* input.effect
+        if (!result) return
+        hooks = [
+          ...hooks.filter((item) => item.id !== input.id),
+          {
+            id: input.id,
+            hooks: result,
+          },
+        ]
+      }),
+      trigger: Effect.fn("Plugin.trigger")(function* (name, input, output) {
+        const draftEntries = new Map<string, ReturnType<typeof createDraft>>()
+        const event = {
+          ...input,
+          ...output,
+        } as Record<string, unknown>
+
+        for (const [field, value] of Object.entries(output)) {
+          if (value && typeof value === "object") {
+            draftEntries.set(field, createDraft(value))
+            event[field] = draftEntries.get(field)
+          }
+        }
+
+        for (const item of hooks) {
+          const match = item.hooks[name]
+          if (!match) continue
+          yield* match(event as any).pipe(
+            Effect.withSpan(`Plugin.hook.${name}`, {
+              attributes: {
+                plugin: item.id,
+                hook: name,
+              },
+            }),
+          )
+        }
+
+        for (const [field, draft] of draftEntries) {
+          event[field] = finishDraft(draft)
+        }
+
+        return event as any
+      }),
+      remove: Effect.fn("Plugin.remove")(function* (id) {
+        hooks = hooks.filter((item) => item.id !== id)
+      }),
+    })
+    return svc
+  }),
+)
+
+export const defaultLayer = layer
+
+// opencode
+// sdcok

packages/core/src/plugin/auth.ts

@@ -0,0 +1,27 @@
+import { Effect } from "effect"
+import { AuthV2 } from "../auth"
+import { PluginV2 } from "../plugin"
+
+export const AuthPlugin = PluginV2.define({
+  id: PluginV2.ID.make("auth"),
+  effect: Effect.gen(function* () {
+    const auth = yield* AuthV2.Service
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        const account = yield* auth.active(AuthV2.ServiceID.make(evt.provider.id)).pipe(Effect.orDie)
+        if (!account) return
+        evt.provider.enabled = {
+          via: "auth",
+          service: account.serviceID,
+        }
+        if (account.credential.type === "api") {
+          evt.provider.options.aisdk.provider.apiKey = account.credential.key
+          Object.assign(evt.provider.options.aisdk.provider, account.credential.metadata ?? {})
+        }
+        if (account.credential.type === "oauth") {
+          evt.provider.options.aisdk.provider.apiKey = account.credential.access
+        }
+      }),
+    }
+  }),
+})

packages/core/src/plugin/env.ts

@@ -0,0 +1,18 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../plugin"
+
+export const EnvPlugin = PluginV2.define({
+  id: PluginV2.ID.make("env"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        const key = evt.provider.env.find((item) => process.env[item])
+        if (!key) return
+        evt.provider.enabled = {
+          via: "env",
+          name: key,
+        }
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider.ts

@@ -0,0 +1 @@
+export { ProviderPlugins } from "./provider/index"

packages/core/src/plugin/provider/alibaba.ts

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+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const AlibabaPlugin = PluginV2.define({
+  id: PluginV2.ID.make("alibaba"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/alibaba") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/alibaba"))
+        evt.sdk = mod.createAlibaba(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/amazon-bedrock.ts

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+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+// Bedrock cross-region inference profiles require regional prefixes only for
+// specific model/region combinations. Keep the mapping narrow and avoid
+// double-prefixing model IDs that models.dev already marks as global/us/eu/etc.
+function resolveModelID(modelID: string, region: string | undefined) {
+  const crossRegionPrefixes = ["global.", "us.", "eu.", "jp.", "apac.", "au."]
+  if (crossRegionPrefixes.some((prefix) => modelID.startsWith(prefix))) return modelID
+
+  const resolvedRegion = region ?? "us-east-1"
+  const regionPrefix = resolvedRegion.split("-")[0]
+  if (regionPrefix === "us") {
+    const requiresPrefix = ["nova-micro", "nova-lite", "nova-pro", "nova-premier", "nova-2", "claude", "deepseek"].some(
+      (item) => modelID.includes(item),
+    )
+    if (requiresPrefix && !resolvedRegion.startsWith("us-gov")) return `${regionPrefix}.${modelID}`
+    return modelID
+  }
+  if (regionPrefix === "eu") {
+    const regionRequiresPrefix = [
+      "eu-west-1",
+      "eu-west-2",
+      "eu-west-3",
+      "eu-north-1",
+      "eu-central-1",
+      "eu-south-1",
+      "eu-south-2",
+    ].some((item) => resolvedRegion.includes(item))
+    const modelRequiresPrefix = ["claude", "nova-lite", "nova-micro", "llama3", "pixtral"].some((item) =>
+      modelID.includes(item),
+    )
+    return regionRequiresPrefix && modelRequiresPrefix ? `${regionPrefix}.${modelID}` : modelID
+  }
+  if (regionPrefix !== "ap") return modelID
+
+  const australia = ["ap-southeast-2", "ap-southeast-4"].includes(resolvedRegion)
+  if (australia && ["anthropic.claude-sonnet-4-5", "anthropic.claude-haiku"].some((item) => modelID.includes(item))) {
+    return `au.${modelID}`
+  }
+
+  const prefix = resolvedRegion === "ap-northeast-1" ? "jp" : "apac"
+  return ["claude", "nova-lite", "nova-micro", "nova-pro"].some((item) => modelID.includes(item))
+    ? `${prefix}.${modelID}`
+    : modelID
+}
+
+export const AmazonBedrockPlugin = PluginV2.define({
+  id: PluginV2.ID.make("amazon-bedrock"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.amazonBedrock) return
+        if (evt.provider.endpoint.type !== "aisdk") return
+        if (typeof evt.provider.options.aisdk.provider.endpoint !== "string") return
+        // The AI SDK expects a base URL, but users configure Bedrock private/VPC
+        // endpoints as `endpoint`; move it into the catalog endpoint URL once.
+        evt.provider.endpoint.url = evt.provider.options.aisdk.provider.endpoint
+        delete evt.provider.options.aisdk.provider.endpoint
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/amazon-bedrock") return
+        const options = { ...evt.options }
+        const profile = typeof options.profile === "string" ? options.profile : process.env.AWS_PROFILE
+        const region = typeof options.region === "string" ? options.region : (process.env.AWS_REGION ?? "us-east-1")
+        const bearerToken =
+          process.env.AWS_BEARER_TOKEN_BEDROCK ??
+          (typeof options.bearerToken === "string" ? options.bearerToken : undefined)
+        if (bearerToken && !process.env.AWS_BEARER_TOKEN_BEDROCK) process.env.AWS_BEARER_TOKEN_BEDROCK = bearerToken
+        const containerCreds = Boolean(
+          process.env.AWS_CONTAINER_CREDENTIALS_RELATIVE_URI || process.env.AWS_CONTAINER_CREDENTIALS_FULL_URI,
+        )
+
+        options.region = region
+        if (typeof options.endpoint === "string") options.baseURL = options.endpoint
+        if (!bearerToken && options.credentialProvider === undefined) {
+          // Do not gate SDK creation on explicit AWS env vars. The default chain
+          // also handles ~/.aws/credentials, SSO, process creds, and instance roles.
+          const { fromNodeProviderChain } = yield* Effect.promise(() => import("@aws-sdk/credential-providers"))
+          options.credentialProvider = fromNodeProviderChain(profile ? { profile } : {})
+        }
+
+        const mod = yield* Effect.promise(() => import("@ai-sdk/amazon-bedrock"))
+        evt.sdk = mod.createAmazonBedrock(options)
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.amazonBedrock) return
+        const region = typeof evt.options.region === "string" ? evt.options.region : process.env.AWS_REGION
+        evt.language = evt.sdk.languageModel(resolveModelID(evt.model.apiID, region))
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/anthropic.ts

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+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const AnthropicPlugin = PluginV2.define({
+  id: PluginV2.ID.make("anthropic"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.anthropic) return
+        evt.provider.options.headers["anthropic-beta"] =
+          "interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14"
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/anthropic") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/anthropic"))
+        evt.sdk = mod.createAnthropic(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/azure.ts

@@ -0,0 +1,67 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+function selectLanguage(sdk: any, modelID: string, useChat: boolean) {
+  if (useChat && sdk.chat) return sdk.chat(modelID)
+  if (sdk.responses) return sdk.responses(modelID)
+  if (sdk.messages) return sdk.messages(modelID)
+  if (sdk.chat) return sdk.chat(modelID)
+  return sdk.languageModel(modelID)
+}
+
+export const AzurePlugin = PluginV2.define({
+  id: PluginV2.ID.make("azure"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.azure) return
+        const configured = evt.provider.options.aisdk.provider.resourceName
+        const resourceName =
+          typeof configured === "string" && configured.trim() !== "" ? configured : process.env.AZURE_RESOURCE_NAME
+        if (resourceName) evt.provider.options.aisdk.provider.resourceName = resourceName
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/azure") return
+        if (evt.model.providerID === ProviderV2.ID.azure) {
+          if (!evt.options.resourceName && !evt.options.baseURL && (evt.model.endpoint.type !== "aisdk" || !evt.model.endpoint.url)) {
+            throw new Error(
+              "AZURE_RESOURCE_NAME is missing, set it using env var or reconnecting the azure provider and setting it",
+            )
+          }
+        }
+        const mod = yield* Effect.promise(() => import("@ai-sdk/azure"))
+        evt.sdk = mod.createAzure(evt.options)
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.azure) return
+        evt.language = selectLanguage(
+          evt.sdk,
+          evt.model.apiID,
+          Boolean(evt.options.useCompletionUrls),
+        )
+      }),
+    }
+  }),
+})
+
+export const AzureCognitiveServicesPlugin = PluginV2.define({
+  id: PluginV2.ID.make("azure-cognitive-services"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("azure-cognitive-services")) return
+        const resourceName = process.env.AZURE_COGNITIVE_SERVICES_RESOURCE_NAME
+        if (resourceName) evt.provider.options.aisdk.provider.baseURL = `https://${resourceName}.cognitiveservices.azure.com/openai`
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.make("azure-cognitive-services")) return
+        evt.language = selectLanguage(
+          evt.sdk,
+          evt.model.apiID,
+          Boolean(evt.options.useCompletionUrls),
+        )
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/cerebras.ts

@@ -0,0 +1,20 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const CerebrasPlugin = PluginV2.define({
+  id: PluginV2.ID.make("cerebras"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("cerebras")) return
+        evt.provider.options.headers["X-Cerebras-3rd-Party-Integration"] = "opencode"
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/cerebras") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/cerebras"))
+        evt.sdk = mod.createCerebras(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/cloudflare-ai-gateway.ts

@@ -0,0 +1,81 @@
+import os from "os"
+import { InstallationVersion } from "../../installation/version"
+import { Effect, Option, Schema } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const CloudflareAIGatewayPlugin = PluginV2.define({
+  id: PluginV2.ID.make("cloudflare-ai-gateway"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "ai-gateway-provider") return
+        if (evt.options.baseURL) return
+
+        const config = gatewayConfig(evt.options)
+        if (!config) return
+        const metadata = gatewayMetadata(evt.options)
+        const { createAiGateway } = yield* Effect.promise(() => import("ai-gateway-provider")).pipe(Effect.orDie)
+        const { createUnified } = yield* Effect.promise(() => import("ai-gateway-provider/providers/unified")).pipe(
+          Effect.orDie,
+        )
+        const gateway = createAiGateway({
+          accountId: config.accountId,
+          gateway: config.gatewayId,
+          apiKey: config.apiKey,
+          options: gatewayOptions(evt.options, metadata),
+        } as any)
+        const unified = createUnified()
+        evt.sdk = {
+          languageModel(modelID: string) {
+            return gateway(unified(modelID))
+          },
+        }
+      }),
+    }
+  }),
+})
+
+type GatewayConfig = {
+  accountId: string
+  gatewayId: string
+  apiKey: string
+}
+
+const decodeJson = Schema.decodeUnknownOption(Schema.UnknownFromJsonString)
+
+function gatewayConfig(options: Record<string, unknown>): GatewayConfig | undefined {
+  const accountId = process.env.CLOUDFLARE_ACCOUNT_ID ?? stringOption(options, "accountId")
+  // AuthPlugin copies CLI prompt metadata into options. The prompt stores the
+  // gateway as gatewayId, while older config examples may use gateway.
+  const gatewayId =
+    process.env.CLOUDFLARE_GATEWAY_ID ?? stringOption(options, "gatewayId") ?? stringOption(options, "gateway")
+  const apiKey = process.env.CLOUDFLARE_API_TOKEN ?? process.env.CF_AIG_TOKEN ?? stringOption(options, "apiKey")
+  if (!accountId || !gatewayId || !apiKey) return undefined
+
+  return { accountId, gatewayId, apiKey }
+}
+
+function gatewayMetadata(options: Record<string, unknown>) {
+  // Preserve the legacy cf-aig-metadata header escape hatch for gateway logging
+  // metadata, but prefer the typed metadata option when present.
+  if (options.metadata !== undefined) return options.metadata
+  const raw = (options.headers as Record<string, string> | undefined)?.["cf-aig-metadata"]
+  return raw ? Option.getOrUndefined(decodeJson(raw)) : undefined
+}
+
+function gatewayOptions(options: Record<string, unknown>, metadata: unknown) {
+  return {
+    metadata,
+    cacheTtl: options.cacheTtl,
+    cacheKey: options.cacheKey,
+    skipCache: options.skipCache,
+    collectLog: options.collectLog,
+    headers: {
+      "User-Agent": `opencode/${InstallationVersion} cloudflare-ai-gateway (${os.platform()} ${os.release()}; ${os.arch()})`,
+    },
+  }
+}
+
+function stringOption(options: Record<string, unknown>, key: string) {
+  return typeof options[key] === "string" ? options[key] : undefined
+}

packages/core/src/plugin/provider/cloudflare-workers-ai.ts

@@ -0,0 +1,69 @@
+import os from "os"
+import { InstallationVersion } from "../../installation/version"
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+const providerID = ProviderV2.ID.make("cloudflare-workers-ai")
+
+export const CloudflareWorkersAIPlugin = PluginV2.define({
+  id: PluginV2.ID.make("cloudflare-workers-ai"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== providerID) return
+        if (evt.provider.endpoint.type !== "aisdk") return
+        if (evt.provider.endpoint.url) return
+
+        const accountId = resolveAccountId(evt.provider.options.aisdk.provider)
+        if (accountId) evt.provider.endpoint.url = workersEndpoint(accountId)
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== providerID) return
+        if (evt.package !== "@ai-sdk/openai-compatible") return
+
+        if (!hasWorkersEndpoint(evt.model.endpoint)) return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/openai-compatible"))
+        evt.sdk = mod.createOpenAICompatible(sdkOptions(evt.options) as any)
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== providerID) return
+        evt.language = evt.sdk.languageModel(evt.model.apiID)
+      }),
+    }
+  }),
+})
+
+function resolveAccountId(options: Record<string, unknown>) {
+  return process.env.CLOUDFLARE_ACCOUNT_ID ?? stringOption(options, "accountId")
+}
+
+function workersEndpoint(accountId: string) {
+  return `https://api.cloudflare.com/client/v4/accounts/${accountId}/ai/v1`
+}
+
+function hasWorkersEndpoint(endpoint: ProviderV2.Endpoint) {
+  return endpoint.type === "aisdk" && Boolean(endpoint.url)
+}
+
+function sdkOptions(options: Record<string, any>) {
+  return {
+    ...options,
+    baseURL: expandAccountId(options.baseURL),
+    apiKey: process.env.CLOUDFLARE_API_KEY ?? options.apiKey,
+    headers: {
+      "User-Agent": `opencode/${InstallationVersion} cloudflare-workers-ai (${os.platform()} ${os.release()}; ${os.arch()})`,
+      ...options.headers,
+    },
+    name: providerID,
+  }
+}
+
+function expandAccountId(baseURL: unknown) {
+  if (typeof baseURL !== "string") return baseURL
+  return baseURL.replaceAll("${CLOUDFLARE_ACCOUNT_ID}", process.env.CLOUDFLARE_ACCOUNT_ID ?? "${CLOUDFLARE_ACCOUNT_ID}")
+}
+
+function stringOption(options: Record<string, unknown>, key: string) {
+  return typeof options[key] === "string" ? options[key] : undefined
+}

packages/core/src/plugin/provider/cohere.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const CoherePlugin = PluginV2.define({
+  id: PluginV2.ID.make("cohere"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/cohere") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/cohere"))
+        evt.sdk = mod.createCohere(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/deepinfra.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const DeepInfraPlugin = PluginV2.define({
+  id: PluginV2.ID.make("deepinfra"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/deepinfra") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/deepinfra"))
+        evt.sdk = mod.createDeepInfra(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/dynamic.ts

@@ -0,0 +1,31 @@
+import { Npm } from "../../npm"
+import { Effect, Option } from "effect"
+import { pathToFileURL } from "url"
+import { PluginV2 } from "../../plugin"
+
+export const DynamicProviderPlugin = PluginV2.define({
+  id: PluginV2.ID.make("dynamic-provider"),
+  effect: Effect.gen(function* () {
+    const npm = yield* Npm.Service
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.sdk) return
+
+        const installedPath = evt.package.startsWith("file://")
+          ? evt.package
+          : Option.getOrUndefined((yield* npm.add(evt.package).pipe(Effect.orDie)).entrypoint)
+        if (!installedPath) throw new Error(`Package ${evt.package} has no import entrypoint`)
+
+        const mod = yield* Effect.promise(async () => {
+          return (await import(
+            installedPath.startsWith("file://") ? installedPath : pathToFileURL(installedPath).href
+          )) as Record<string, (options: any) => any>
+        }).pipe(Effect.orDie)
+        const match = Object.keys(mod).find((name) => name.startsWith("create"))
+        if (!match) throw new Error(`Package ${evt.package} has no provider factory export`)
+
+        evt.sdk = mod[match](evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/gateway.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const GatewayPlugin = PluginV2.define({
+  id: PluginV2.ID.make("gateway"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/gateway") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/gateway"))
+        evt.sdk = mod.createGateway(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/github-copilot.ts

@@ -0,0 +1,44 @@
+import { Effect } from "effect"
+import { ModelV2 } from "../../model"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+function shouldUseResponses(modelID: string) {
+  // Copilot supports Responses for GPT-5 class models, except mini variants
+  // which still need the chat-completions endpoint.
+  const match = /^gpt-(\d+)/.exec(modelID)
+  if (!match) return false
+  return Number(match[1]) >= 5 && !modelID.startsWith("gpt-5-mini")
+}
+
+export const GithubCopilotPlugin = PluginV2.define({
+  id: PluginV2.ID.make("github-copilot"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.githubCopilot) return
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/github-copilot") return
+        const mod = yield* Effect.promise(() => import("../../github-copilot/copilot-provider"))
+        evt.sdk = mod.createOpenaiCompatible(evt.options)
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.githubCopilot) return
+        if (evt.sdk.responses === undefined && evt.sdk.chat === undefined) {
+          evt.language = evt.sdk.languageModel(evt.model.apiID)
+          return
+        }
+        evt.language = shouldUseResponses(evt.model.apiID)
+          ? evt.sdk.responses(evt.model.apiID)
+          : evt.sdk.chat(evt.model.apiID)
+      }),
+      "model.update": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.githubCopilot) return
+        // This chat-only alias conflicts with the Copilot GPT-5 Responses route,
+        // so hide it only for Copilot rather than for every provider catalog.
+        if (evt.model.id === ModelV2.ID.make("gpt-5-chat-latest")) evt.cancel = true
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/gitlab.ts

@@ -0,0 +1,64 @@
+import os from "os"
+import { InstallationVersion } from "../../installation/version"
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const GitLabPlugin = PluginV2.define({
+  id: PluginV2.ID.make("gitlab"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "gitlab-ai-provider") return
+        const mod = yield* Effect.promise(() => import("gitlab-ai-provider"))
+        evt.sdk = mod.createGitLab({
+          ...evt.options,
+          instanceUrl:
+            typeof evt.options.instanceUrl === "string"
+              ? evt.options.instanceUrl
+              : (process.env.GITLAB_INSTANCE_URL ?? "https://gitlab.com"),
+          apiKey: typeof evt.options.apiKey === "string" ? evt.options.apiKey : process.env.GITLAB_TOKEN,
+          aiGatewayHeaders: {
+            "User-Agent": `opencode/${InstallationVersion} gitlab-ai-provider/${mod.VERSION} (${os.platform()} ${os.release()}; ${os.arch()})`,
+            "anthropic-beta": "context-1m-2025-08-07",
+            ...evt.options.aiGatewayHeaders,
+          },
+          featureFlags: {
+            duo_agent_platform_agentic_chat: true,
+            duo_agent_platform: true,
+            ...evt.options.featureFlags,
+          },
+        })
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.gitlab) return
+        const featureFlags = typeof evt.options.featureFlags === "object" && evt.options.featureFlags ? evt.options.featureFlags : {}
+        if (evt.model.apiID.startsWith("duo-workflow-")) {
+          const gitlab = yield* Effect.promise(() => import("gitlab-ai-provider")).pipe(Effect.orDie)
+          const workflowRef =
+            typeof evt.model.options.aisdk.request.workflowRef === "string"
+              ? evt.model.options.aisdk.request.workflowRef
+              : undefined
+          const workflowDefinition =
+            typeof evt.model.options.aisdk.request.workflowDefinition === "string"
+              ? evt.model.options.aisdk.request.workflowDefinition
+              : undefined
+          const language = evt.sdk.workflowChat(
+            gitlab.isWorkflowModel(evt.model.apiID) ? evt.model.apiID : "duo-workflow",
+            {
+              featureFlags,
+              workflowDefinition,
+            },
+          )
+          if (workflowRef) language.selectedModelRef = workflowRef
+          evt.language = language
+          return
+        }
+        evt.language = evt.sdk.agenticChat(evt.model.apiID, {
+          aiGatewayHeaders: evt.options.aiGatewayHeaders,
+          featureFlags,
+        })
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/google-vertex.ts

@@ -0,0 +1,124 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+function resolveProject(options: Record<string, any>) {
+  // models.dev advertises GOOGLE_VERTEX_PROJECT for Vertex, while Google SDKs
+  // and ADC examples commonly use the broader Google Cloud project aliases.
+  return (
+    options.project ??
+    process.env.GOOGLE_VERTEX_PROJECT ??
+    process.env.GOOGLE_CLOUD_PROJECT ??
+    process.env.GCP_PROJECT ??
+    process.env.GCLOUD_PROJECT
+  )
+}
+
+function resolveLocation(options: Record<string, any>) {
+  return options.location ?? process.env.GOOGLE_VERTEX_LOCATION ?? process.env.GOOGLE_CLOUD_LOCATION ?? process.env.VERTEX_LOCATION ?? "us-central1"
+}
+
+function vertexEndpoint(location: string) {
+  return location === "global" ? "aiplatform.googleapis.com" : `${location}-aiplatform.googleapis.com`
+}
+
+function replaceVertexVars(value: string, project: string | undefined, location: string) {
+  // Vertex OpenAI-compatible endpoints are stored as templates in the catalog;
+  // expand them after provider config/env project and location have been resolved.
+  return value
+    .replaceAll("${GOOGLE_VERTEX_PROJECT}", project ?? "${GOOGLE_VERTEX_PROJECT}")
+    .replaceAll("${GOOGLE_VERTEX_LOCATION}", location)
+    .replaceAll("${GOOGLE_VERTEX_ENDPOINT}", vertexEndpoint(location))
+}
+
+function authFetch(fetchWithRuntimeOptions?: unknown) {
+  // Native Vertex SDKs handle ADC internally. OpenAI-compatible Vertex endpoints
+  // do not, so inject a Google access token into their fetch path.
+  return async (input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+    const { GoogleAuth } = await import("google-auth-library")
+    const auth = new GoogleAuth()
+    const client = await auth.getApplicationDefault()
+    const token = await client.credential.getAccessToken()
+    const headers = new Headers(init?.headers)
+    headers.set("Authorization", `Bearer ${token.token}`)
+    return typeof fetchWithRuntimeOptions === "function"
+      ? fetchWithRuntimeOptions(input, { ...init, headers })
+      : fetch(input, { ...init, headers })
+  }
+}
+
+export const GoogleVertexPlugin = PluginV2.define({
+  id: PluginV2.ID.make("google-vertex"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.googleVertex) return
+        const project = resolveProject(evt.provider.options.aisdk.provider)
+        const location = String(resolveLocation(evt.provider.options.aisdk.provider))
+        if (project) evt.provider.options.aisdk.provider.project = project
+        evt.provider.options.aisdk.provider.location = location
+        if (evt.provider.endpoint.type === "aisdk" && evt.provider.endpoint.url) {
+          evt.provider.endpoint.url = replaceVertexVars(evt.provider.endpoint.url, project, location)
+        }
+        if (evt.provider.endpoint.type === "aisdk" && evt.provider.endpoint.package.includes("@ai-sdk/openai-compatible")) {
+          evt.provider.options.aisdk.provider.fetch = authFetch(evt.provider.options.aisdk.provider.fetch)
+        }
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.model.providerID === ProviderV2.ID.googleVertex && evt.package.includes("@ai-sdk/openai-compatible")) {
+          evt.options.fetch = authFetch(evt.options.fetch)
+          return
+        }
+        if (evt.package !== "@ai-sdk/google-vertex") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/google-vertex"))
+        const project = resolveProject(evt.options)
+        const location = resolveLocation(evt.options)
+        const options = { ...evt.options }
+        delete options.fetch
+        evt.sdk = mod.createVertex({
+          ...options,
+          project,
+          location,
+        })
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.googleVertex) return
+        evt.language = evt.sdk.languageModel(String(evt.model.apiID).trim())
+      }),
+    }
+  }),
+})
+
+export const GoogleVertexAnthropicPlugin = PluginV2.define({
+  id: PluginV2.ID.make("google-vertex-anthropic"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("google-vertex-anthropic")) return
+        const project = evt.provider.options.aisdk.provider.project ?? process.env.GOOGLE_CLOUD_PROJECT ?? process.env.GCP_PROJECT ?? process.env.GCLOUD_PROJECT
+        const location = evt.provider.options.aisdk.provider.location ?? process.env.GOOGLE_CLOUD_LOCATION ?? process.env.VERTEX_LOCATION ?? "global"
+        if (project) evt.provider.options.aisdk.provider.project = project
+        evt.provider.options.aisdk.provider.location = location
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/google-vertex/anthropic") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/google-vertex/anthropic"))
+        evt.sdk = mod.createVertexAnthropic({
+          ...evt.options,
+          project:
+            typeof evt.options.project === "string"
+              ? evt.options.project
+              : (process.env.GOOGLE_CLOUD_PROJECT ?? process.env.GCP_PROJECT ?? process.env.GCLOUD_PROJECT),
+          location:
+            typeof evt.options.location === "string"
+              ? evt.options.location
+              : (process.env.GOOGLE_CLOUD_LOCATION ?? process.env.VERTEX_LOCATION ?? "global"),
+        })
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.make("google-vertex-anthropic")) return
+        evt.language = evt.sdk.languageModel(String(evt.model.apiID).trim())
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/google.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const GooglePlugin = PluginV2.define({
+  id: PluginV2.ID.make("google"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/google") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/google"))
+        evt.sdk = mod.createGoogleGenerativeAI(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/groq.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const GroqPlugin = PluginV2.define({
+  id: PluginV2.ID.make("groq"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/groq") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/groq"))
+        evt.sdk = mod.createGroq(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/index.ts

@@ -0,0 +1,67 @@
+import { AlibabaPlugin } from "./alibaba"
+import { AmazonBedrockPlugin } from "./amazon-bedrock"
+import { AnthropicPlugin } from "./anthropic"
+import { AzureCognitiveServicesPlugin, AzurePlugin } from "./azure"
+import { CerebrasPlugin } from "./cerebras"
+import { CloudflareAIGatewayPlugin } from "./cloudflare-ai-gateway"
+import { CloudflareWorkersAIPlugin } from "./cloudflare-workers-ai"
+import { CoherePlugin } from "./cohere"
+import { DeepInfraPlugin } from "./deepinfra"
+import { DynamicProviderPlugin } from "./dynamic"
+import { GatewayPlugin } from "./gateway"
+import { GithubCopilotPlugin } from "./github-copilot"
+import { GitLabPlugin } from "./gitlab"
+import { GooglePlugin } from "./google"
+import { GoogleVertexAnthropicPlugin, GoogleVertexPlugin } from "./google-vertex"
+import { GroqPlugin } from "./groq"
+import { KiloPlugin } from "./kilo"
+import { LLMGatewayPlugin } from "./llmgateway"
+import { MistralPlugin } from "./mistral"
+import { NvidiaPlugin } from "./nvidia"
+import { OpenAIPlugin } from "./openai"
+import { OpenAICompatiblePlugin } from "./openai-compatible"
+import { OpencodePlugin } from "./opencode"
+import { OpenRouterPlugin } from "./openrouter"
+import { PerplexityPlugin } from "./perplexity"
+import { SapAICorePlugin } from "./sap-ai-core"
+import { TogetherAIPlugin } from "./togetherai"
+import { VercelPlugin } from "./vercel"
+import { VenicePlugin } from "./venice"
+import { XAIPlugin } from "./xai"
+import { ZenmuxPlugin } from "./zenmux"
+
+export const ProviderPlugins = [
+  AlibabaPlugin,
+  AmazonBedrockPlugin,
+  AnthropicPlugin,
+  AzureCognitiveServicesPlugin,
+  AzurePlugin,
+  CerebrasPlugin,
+  CloudflareAIGatewayPlugin,
+  CloudflareWorkersAIPlugin,
+  CoherePlugin,
+  DeepInfraPlugin,
+  GatewayPlugin,
+  GithubCopilotPlugin,
+  GitLabPlugin,
+  GooglePlugin,
+  GoogleVertexAnthropicPlugin,
+  GoogleVertexPlugin,
+  GroqPlugin,
+  KiloPlugin,
+  LLMGatewayPlugin,
+  MistralPlugin,
+  NvidiaPlugin,
+  OpencodePlugin,
+  OpenAICompatiblePlugin,
+  OpenAIPlugin,
+  OpenRouterPlugin,
+  PerplexityPlugin,
+  SapAICorePlugin,
+  TogetherAIPlugin,
+  VercelPlugin,
+  VenicePlugin,
+  XAIPlugin,
+  ZenmuxPlugin,
+  DynamicProviderPlugin,
+]

packages/core/src/plugin/provider/kilo.ts

@@ -0,0 +1,16 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const KiloPlugin = PluginV2.define({
+  id: PluginV2.ID.make("kilo"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("kilo")) return
+        evt.provider.options.headers["HTTP-Referer"] = "https://opencode.ai/"
+        evt.provider.options.headers["X-Title"] = "opencode"
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/llmgateway.ts

@@ -0,0 +1,18 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const LLMGatewayPlugin = PluginV2.define({
+  id: PluginV2.ID.make("llmgateway"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("llmgateway")) return
+        if (evt.provider.enabled === false) return
+        evt.provider.options.headers["HTTP-Referer"] = "https://opencode.ai/"
+        evt.provider.options.headers["X-Title"] = "opencode"
+        evt.provider.options.headers["X-Source"] = "opencode"
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/mistral.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const MistralPlugin = PluginV2.define({
+  id: PluginV2.ID.make("mistral"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/mistral") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/mistral"))
+        evt.sdk = mod.createMistral(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/nvidia.ts

@@ -0,0 +1,16 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const NvidiaPlugin = PluginV2.define({
+  id: PluginV2.ID.make("nvidia"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("nvidia")) return
+        evt.provider.options.headers["HTTP-Referer"] = "https://opencode.ai/"
+        evt.provider.options.headers["X-Title"] = "opencode"
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/openai-compatible.ts

@@ -0,0 +1,17 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const OpenAICompatiblePlugin = PluginV2.define({
+  id: PluginV2.ID.make("openai-compatible"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.sdk) return
+        if (!evt.package.includes("@ai-sdk/openai-compatible")) return
+        if (evt.options.includeUsage !== false) evt.options.includeUsage = true
+        const mod = yield* Effect.promise(() => import("@ai-sdk/openai-compatible"))
+        evt.sdk = mod.createOpenAICompatible(evt.options as any)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/openai.ts

@@ -0,0 +1,27 @@
+import { Effect } from "effect"
+import { ModelV2 } from "../../model"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const OpenAIPlugin = PluginV2.define({
+  id: PluginV2.ID.make("openai"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/openai") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/openai"))
+        evt.sdk = mod.createOpenAI(evt.options)
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.openai) return
+        evt.language = evt.sdk.responses(evt.model.apiID)
+      }),
+      "model.update": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.openai) return
+        // OpenAIPlugin sends OpenAI models through Responses; this alias is a
+        // chat-completions-only model, so remove it only from OpenAI's catalog.
+        if (evt.model.id === ModelV2.ID.make("gpt-5-chat-latest")) evt.cancel = true
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/opencode.ts

@@ -0,0 +1,27 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const OpencodePlugin = PluginV2.define({
+  id: PluginV2.ID.make("opencode"),
+  effect: Effect.gen(function* () {
+    let hasKey = false
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.opencode) return
+        hasKey = Boolean(
+            process.env.OPENCODE_API_KEY ||
+            evt.provider.env.some((item) => process.env[item]) ||
+            evt.provider.options.aisdk.provider.apiKey ||
+            (evt.provider.enabled && evt.provider.enabled.via === "auth"),
+        )
+        if (!hasKey) evt.provider.options.aisdk.provider.apiKey = "public"
+      }),
+      "model.update": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.opencode) return
+        if (hasKey) return
+        if (evt.model.cost.some((item) => item.input > 0)) evt.cancel = true
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/openrouter.ts

@@ -0,0 +1,29 @@
+import { Effect } from "effect"
+import { ModelV2 } from "../../model"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const OpenRouterPlugin = PluginV2.define({
+  id: PluginV2.ID.make("openrouter"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.openrouter) return
+        evt.provider.options.headers["HTTP-Referer"] = "https://opencode.ai/"
+        evt.provider.options.headers["X-Title"] = "opencode"
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@openrouter/ai-sdk-provider") return
+        const mod = yield* Effect.promise(() => import("@openrouter/ai-sdk-provider"))
+        evt.sdk = mod.createOpenRouter(evt.options)
+      }),
+      "model.update": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.openrouter) return
+        // These are OpenRouter-specific OpenAI chat aliases that do not work on
+        // the generic path. Keep custom providers with matching IDs untouched.
+        if (evt.model.id === ModelV2.ID.make("gpt-5-chat-latest")) evt.cancel = true
+        if (evt.model.id === ModelV2.ID.make("openai/gpt-5-chat")) evt.cancel = true
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/perplexity.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const PerplexityPlugin = PluginV2.define({
+  id: PluginV2.ID.make("perplexity"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/perplexity") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/perplexity"))
+        evt.sdk = mod.createPerplexity(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/sap-ai-core.ts

@@ -0,0 +1,40 @@
+import { Npm } from "../../npm"
+import { Effect, Option } from "effect"
+import { pathToFileURL } from "url"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const SapAICorePlugin = PluginV2.define({
+  id: PluginV2.ID.make("sap-ai-core"),
+  effect: Effect.gen(function* () {
+    const npm = yield* Npm.Service
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.make("sap-ai-core")) return
+        const serviceKey =
+          process.env.AICORE_SERVICE_KEY ??
+          (typeof evt.options.serviceKey === "string" ? evt.options.serviceKey : undefined)
+        if (serviceKey && !process.env.AICORE_SERVICE_KEY) process.env.AICORE_SERVICE_KEY = serviceKey
+
+        const installedPath = evt.package.startsWith("file://")
+          ? evt.package
+          : Option.getOrUndefined((yield* npm.add(evt.package).pipe(Effect.orDie)).entrypoint)
+        if (!installedPath) throw new Error(`Package ${evt.package} has no import entrypoint`)
+
+        const mod = yield* Effect.promise(async () => {
+          return (await import(
+            installedPath.startsWith("file://") ? installedPath : pathToFileURL(installedPath).href
+          )) as Record<string, (options: any) => any>
+        }).pipe(Effect.orDie)
+        const match = Object.keys(mod).find((name) => name.startsWith("create"))
+        if (!match) throw new Error(`Package ${evt.package} has no provider factory export`)
+
+        evt.sdk = mod[match](serviceKey ? { deploymentId: process.env.AICORE_DEPLOYMENT_ID, resourceGroup: process.env.AICORE_RESOURCE_GROUP } : {})
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.make("sap-ai-core")) return
+        evt.language = evt.sdk(evt.model.apiID)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/togetherai.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const TogetherAIPlugin = PluginV2.define({
+  id: PluginV2.ID.make("togetherai"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/togetherai") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/togetherai"))
+        evt.sdk = mod.createTogetherAI(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/venice.ts

@@ -0,0 +1,15 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+
+export const VenicePlugin = PluginV2.define({
+  id: PluginV2.ID.make("venice"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "venice-ai-sdk-provider") return
+        const mod = yield* Effect.promise(() => import("venice-ai-sdk-provider"))
+        evt.sdk = mod.createVenice(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/vercel.ts

@@ -0,0 +1,21 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const VercelPlugin = PluginV2.define({
+  id: PluginV2.ID.make("vercel"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("vercel")) return
+        evt.provider.options.headers["http-referer"] = "https://opencode.ai/"
+        evt.provider.options.headers["x-title"] = "opencode"
+      }),
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/vercel") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/vercel"))
+        evt.sdk = mod.createVercel(evt.options)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/xai.ts

@@ -0,0 +1,20 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const XAIPlugin = PluginV2.define({
+  id: PluginV2.ID.make("xai"),
+  effect: Effect.gen(function* () {
+    return {
+      "aisdk.sdk": Effect.fn(function* (evt) {
+        if (evt.package !== "@ai-sdk/xai") return
+        const mod = yield* Effect.promise(() => import("@ai-sdk/xai"))
+        evt.sdk = mod.createXai(evt.options)
+      }),
+      "aisdk.language": Effect.fn(function* (evt) {
+        if (evt.model.providerID !== ProviderV2.ID.make("xai")) return
+        evt.language = evt.sdk.responses(evt.model.apiID)
+      }),
+    }
+  }),
+})

packages/core/src/plugin/provider/zenmux.ts

@@ -0,0 +1,16 @@
+import { Effect } from "effect"
+import { PluginV2 } from "../../plugin"
+import { ProviderV2 } from "../../provider"
+
+export const ZenmuxPlugin = PluginV2.define({
+  id: PluginV2.ID.make("zenmux"),
+  effect: Effect.gen(function* () {
+    return {
+      "provider.update": Effect.fn(function* (evt) {
+        if (evt.provider.id !== ProviderV2.ID.make("zenmux")) return
+        evt.provider.options.headers["HTTP-Referer"] ??= "https://opencode.ai/"
+        evt.provider.options.headers["X-Title"] ??= "opencode"
+      }),
+    }
+  }),
+})

packages/core/src/provider.ts

@@ -0,0 +1,120 @@
+export * as ProviderV2 from "./provider"
+
+import { withStatics } from "./schema"
+import { Schema } from "effect"
+
+export const ID = Schema.String.pipe(
+  Schema.brand("ProviderV2.ID"),
+  withStatics((schema) => ({
+    // Well-known providers
+    opencode: schema.make("opencode"),
+    anthropic: schema.make("anthropic"),
+    openai: schema.make("openai"),
+    google: schema.make("google"),
+    googleVertex: schema.make("google-vertex"),
+    githubCopilot: schema.make("github-copilot"),
+    amazonBedrock: schema.make("amazon-bedrock"),
+    azure: schema.make("azure"),
+    openrouter: schema.make("openrouter"),
+    mistral: schema.make("mistral"),
+    gitlab: schema.make("gitlab"),
+  })),
+)
+export type ID = typeof ID.Type
+
+const OpenAIResponses = Schema.Struct({
+  type: Schema.Literal("openai/responses"),
+  url: Schema.String,
+  websocket: Schema.optional(Schema.Boolean),
+})
+
+const OpenAICompletions = Schema.Struct({
+  type: Schema.Literal("openai/completions"),
+  url: Schema.String,
+  reasoning: Schema.Union([
+    Schema.Struct({
+      type: Schema.Literal("reasoning_content"),
+    }),
+    Schema.Struct({
+      type: Schema.Literal("reasoning_details"),
+    }),
+  ]).pipe(Schema.optional),
+})
+export type OpenAICompletions = typeof OpenAICompletions.Type
+
+const AISDK = Schema.Struct({
+  type: Schema.Literal("aisdk"),
+  package: Schema.String,
+  url: Schema.String.pipe(Schema.optional),
+})
+
+const AnthropicMessages = Schema.Struct({
+  type: Schema.Literal("anthropic/messages"),
+  url: Schema.String,
+})
+
+const UnknownEndpoint = Schema.Struct({
+  type: Schema.Literal("unknown"),
+})
+
+export const Endpoint = Schema.Union([
+  UnknownEndpoint,
+  OpenAIResponses,
+  OpenAICompletions,
+  AnthropicMessages,
+  AISDK,
+]).pipe(Schema.toTaggedUnion("type"))
+export type Endpoint = typeof Endpoint.Type
+
+export const Options = Schema.Struct({
+  headers: Schema.Record(Schema.String, Schema.String),
+  body: Schema.Record(Schema.String, Schema.Any),
+  aisdk: Schema.Struct({
+    provider: Schema.Record(Schema.String, Schema.Any),
+    request: Schema.Record(Schema.String, Schema.Any),
+  }),
+})
+export type Options = typeof Options.Type
+
+export class Info extends Schema.Class<Info>("ProviderV2.Info")({
+  id: ID,
+  name: Schema.String,
+  enabled: Schema.Union([
+    Schema.Literal(false),
+    Schema.Struct({
+      via: Schema.Literal("env"),
+      name: Schema.String,
+    }),
+    Schema.Struct({
+      via: Schema.Literal("auth"),
+      service: Schema.String,
+    }),
+    Schema.Struct({
+      via: Schema.Literal("custom"),
+      data: Schema.Record(Schema.String, Schema.Any),
+    }),
+  ]),
+  env: Schema.String.pipe(Schema.Array),
+  endpoint: Endpoint,
+  options: Options,
+}) {
+  static empty(providerID: ID) {
+    return new Info({
+      id: providerID,
+      name: providerID,
+      enabled: false,
+      env: [],
+      endpoint: {
+        type: "unknown",
+      },
+      options: {
+        headers: {},
+        body: {},
+        aisdk: {
+          provider: {},
+          request: {},
+        },
+      },
+    })
+  }
+}

packages/core/src/session-prompt.ts

@@ -0,0 +1,49 @@
+import * as Schema from "effect/Schema"
+
+export class Source extends Schema.Class<Source>("Prompt.Source")({
+  start: Schema.Finite,
+  end: Schema.Finite,
+  text: Schema.String,
+}) {}
+
+export class FileAttachment extends Schema.Class<FileAttachment>("Prompt.FileAttachment")({
+  uri: Schema.String,
+  mime: Schema.String,
+  name: Schema.String.pipe(Schema.optional),
+  description: Schema.String.pipe(Schema.optional),
+  source: Source.pipe(Schema.optional),
+}) {
+  static create(input: FileAttachment) {
+    return new FileAttachment({
+      uri: input.uri,
+      mime: input.mime,
+      name: input.name,
+      description: input.description,
+      source: input.source,
+    })
+  }
+}
+
+export class AgentAttachment extends Schema.Class<AgentAttachment>("Prompt.AgentAttachment")({
+  name: Schema.String,
+  source: Source.pipe(Schema.optional),
+}) {}
+
+export class ReferenceAttachment extends Schema.Class<ReferenceAttachment>("Prompt.ReferenceAttachment")({
+  name: Schema.String,
+  kind: Schema.Literals(["local", "git", "invalid"]),
+  uri: Schema.String.pipe(Schema.optional),
+  repository: Schema.String.pipe(Schema.optional),
+  branch: Schema.String.pipe(Schema.optional),
+  target: Schema.String.pipe(Schema.optional),
+  targetUri: Schema.String.pipe(Schema.optional),
+  problem: Schema.String.pipe(Schema.optional),
+  source: Source.pipe(Schema.optional),
+}) {}
+
+export class Prompt extends Schema.Class<Prompt>("Prompt")({
+  text: Schema.String,
+  files: Schema.Array(FileAttachment).pipe(Schema.optional),
+  agents: Schema.Array(AgentAttachment).pipe(Schema.optional),
+  references: Schema.Array(ReferenceAttachment).pipe(Schema.optional),
+}) {}

packages/core/src/tool-output.ts

@@ -0,0 +1,18 @@
+export * as ToolOutput from "./tool-output"
+import { Schema } from "effect"
+
+export class TextContent extends Schema.Class<TextContent>("Tool.TextContent")({
+  type: Schema.Literal("text"),
+  text: Schema.String,
+}) {}
+
+export class FileContent extends Schema.Class<FileContent>("Tool.FileContent")({
+  type: Schema.Literal("file"),
+  uri: Schema.String,
+  mime: Schema.String,
+  name: Schema.String.pipe(Schema.optional),
+}) {}
+
+export const Content = Schema.Union([TextContent, FileContent]).pipe(Schema.toTaggedUnion("type"))
+
+export const Structured = Schema.Record(Schema.String, Schema.Any)

packages/core/src/v2-schema.ts

@@ -0,0 +1,10 @@
+import { DateTime, Schema, SchemaGetter } from "effect"
+
+export const DateTimeUtcFromMillis = Schema.Finite.pipe(
+  Schema.decodeTo(Schema.DateTimeUtc, {
+    decode: SchemaGetter.transform((value) => DateTime.makeUnsafe(value)),
+    encode: SchemaGetter.transform((value) => DateTime.toEpochMillis(value)),
+  }),
+)
+
+export * as V2Schema from "./v2-schema"