chore: refresh bun lockfile (#39617)

Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>

.opencode/plugins/tui/discovery-smoke.ts

@@ -2,15 +2,12 @@ import type { Context } from "../../../packages/plugin/src/tui/context"
 
 export default {
   id: "test.tui-discovery-smoke",
-  setup(context: Context) {
-    const timer = setTimeout(() => {
-      context.ui.toast.show({
-        title: "TUI plugin discovery works",
-        message: "Loaded .opencode/plugins/tui/discovery-smoke.ts",
-        variant: "success",
-        duration: 30_000,
-      })
-    }, 1_000)
-    return () => clearTimeout(timer)
+  setup(_context: Context) {
+    // context.ui.toast.show({
+    //   title: "TUI plugin discovery works",
+    //   message: "Loaded .opencode/plugins/tui/discovery-smoke.ts",
+    //   variant: "success",
+    //   duration: 30_000,
+    // })
   },
 }

bun.lock

@@ -143,7 +143,10 @@
         "open": "10.1.2",
         "semver": "catalog:",
         "solid-js": "catalog:",
+        "tree-sitter-bash": "0.25.0",
+        "tree-sitter-powershell": "0.25.10",
         "uqr": "0.1.3",
+        "web-tree-sitter": "0.25.10",
         "ws": "8.21.0",
       },
       "devDependencies": {
@@ -402,8 +405,11 @@
         "immer": "11.1.4",
         "jsonc-parser": "3.3.1",
         "semver": "^7.6.3",
+        "tree-sitter-bash": "0.25.0",
+        "tree-sitter-powershell": "0.25.10",
         "turndown": "7.2.0",
         "venice-ai-sdk-provider": "2.1.1",
+        "web-tree-sitter": "0.25.10",
         "which": "6.0.1",
         "zod": "catalog:",
       },
@@ -600,6 +606,7 @@
         "zod": "catalog:",
       },
       "devDependencies": {
+        "@opencode-ai/theme": "workspace:*",
         "@opentui/core": "catalog:",
         "@opentui/keymap": "catalog:",
         "@opentui/solid": "catalog:",
@@ -611,12 +618,14 @@
         "typescript": "catalog:",
       },
       "peerDependencies": {
+        "@opencode-ai/theme": "workspace:*",
         "@opentui/core": ">=0.4.5",
         "@opentui/keymap": ">=0.4.5",
         "@opentui/solid": ">=0.4.5",
         "solid-js": ">=1.9.0",
       },
       "optionalPeers": [
+        "@opencode-ai/theme",
         "@opentui/core",
         "@opentui/keymap",
         "@opentui/solid",
@@ -1070,9 +1079,11 @@
   },
   "trustedDependencies": [
     "esbuild",
+    "tree-sitter-powershell",
     "protobufjs",
     "electron",
     "web-tree-sitter",
+    "tree-sitter-bash",
   ],
   "patchedDependencies": {
     "@pierre/trees@1.0.0-beta.4": "patches/@pierre%2Ftrees@1.0.0-beta.4.patch",
@@ -4069,10 +4080,10 @@
 
     "fetch-blob": ["fetch-blob@3.2.0", "", { "dependencies": { "node-domexception": "^1.0.0", "web-streams-polyfill": "^3.0.3" } }, "sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ=="],
 
-    "file-uri-to-path": ["file-uri-to-path@1.0.0", "", {}, "sha512-0Zt+s3L7Vf1biwWZ29aARiVYLx7iMGnEUl9x33fbB/j3jR81u/O2LbqK+Bm1CDSNDKVtJ/YjwY7TUd5SkeLQLw=="],
-
     "ffi-rs": ["ffi-rs@1.3.2", "", { "optionalDependencies": { "@yuuang/ffi-rs-android-arm64": "1.3.2", "@yuuang/ffi-rs-darwin-arm64": "1.3.2", "@yuuang/ffi-rs-darwin-x64": "1.3.2", "@yuuang/ffi-rs-linux-arm-gnueabihf": "1.3.2", "@yuuang/ffi-rs-linux-arm64-gnu": "1.3.2", "@yuuang/ffi-rs-linux-arm64-musl": "1.3.2", "@yuuang/ffi-rs-linux-x64-gnu": "1.3.2", "@yuuang/ffi-rs-linux-x64-musl": "1.3.2", "@yuuang/ffi-rs-win32-arm64-msvc": "1.3.2", "@yuuang/ffi-rs-win32-ia32-msvc": "1.3.2", "@yuuang/ffi-rs-win32-x64-msvc": "1.3.2" } }, "sha512-4s8dX9VbBw/jd5NOuE3EJRqXaIVdjMyiumeeDzrOhtjQRwp6Bz2za7iksWXTnvTQKV/tTdm1s1w7mObe92zPjQ=="],
 
+    "file-uri-to-path": ["file-uri-to-path@1.0.0", "", {}, "sha512-0Zt+s3L7Vf1biwWZ29aARiVYLx7iMGnEUl9x33fbB/j3jR81u/O2LbqK+Bm1CDSNDKVtJ/YjwY7TUd5SkeLQLw=="],
+
     "filelist": ["filelist@1.0.6", "", { "dependencies": { "minimatch": "^5.0.1" } }, "sha512-5giy2PkLYY1cP39p17Ech+2xlpTRL9HLspOfEgm0L6CwBXBTgsK5ou0JtzYuepxkaQ/tvhCFIJ5uXo0OrM2DxA=="],
 
     "fill-range": ["fill-range@7.1.1", "", { "dependencies": { "to-regex-range": "^5.0.1" } }, "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg=="],
@@ -5631,6 +5642,10 @@
 
     "traverse": ["traverse@0.3.9", "", {}, "sha512-iawgk0hLP3SxGKDfnDJf8wTz4p2qImnyihM5Hh/sGvQ3K37dPi/w8sRhdNIxYA1TwFwc5mDhIJq+O0RsvXBKdQ=="],
 
+    "tree-sitter-bash": ["tree-sitter-bash@0.25.0", "", { "dependencies": { "node-addon-api": "^8.2.1", "node-gyp-build": "^4.8.2" }, "peerDependencies": { "tree-sitter": "^0.25.0" }, "optionalPeers": ["tree-sitter"] }, "sha512-gZtlj9+qFS81qKxpLfD6H0UssQ3QBc/F0nKkPsiFDyfQF2YBqYvglFJUzchrPpVhZe9kLZTrJ9n2J6lmka69Vg=="],
+
+    "tree-sitter-powershell": ["tree-sitter-powershell@0.25.10", "", { "dependencies": { "node-addon-api": "^7.1.0", "node-gyp-build": "^4.8.0" }, "peerDependencies": { "tree-sitter": "^0.25.0" }, "optionalPeers": ["tree-sitter"] }, "sha512-bEt8QoySpGFnU3aa8WedQyNMaN6aTwy/WUbvIVt0JSKF+BbJoSHNHu+wCbhj7xLMsfB0AuffmiJm+B8gzva8Lg=="],
+
     "treeverse": ["treeverse@3.0.0", "", {}, "sha512-gcANaAnd2QDZFmHFEOF4k7uc1J/6a6z3DJMd/QwEyxLoKGiptJRwid582r7QIsFlFMIZ3SnxfS52S4hm2DHkuQ=="],
 
     "trim-lines": ["trim-lines@3.0.1", "", {}, "sha512-kRj8B+YHZCc9kQYdWfJB2/oUl9rA99qbowYYBtr4ui4mZyAQ2JpvVBd/6U2YloATfqBhBTSMhTpgBHtU0Mf3Rg=="],
@@ -6853,6 +6868,8 @@
 
     "topojson-client/commander": ["commander@2.20.3", "", {}, "sha512-GpVkmM8vF2vQUkj2LvZmD35JxeJOLCwJ9cUkugyk2nuhbv3+mJvpLYYt+0+USMxE+oj+ey/lJEnhZw75x/OMcQ=="],
 
+    "tree-sitter-bash/node-addon-api": ["node-addon-api@8.9.0", "", {}, "sha512-ekZMeaaIzSQTSpr7X2X3iJM7lTzgnx8ahAG9pJfT/7+14mlEM8ZYQ9cgCDvSSRbReFK0oHli3WrZdCiRsgAT9Q=="],
+
     "tw-to-css/postcss": ["postcss@8.4.31", "", { "dependencies": { "nanoid": "^3.3.6", "picocolors": "^1.0.0", "source-map-js": "^1.0.2" } }, "sha512-PS08Iboia9mts/2ygV3eLpY5ghnUcfLV/EXTOW1E2qYxJKGGBUtNjN76FYHnMs36RmARn41bC0AZmn+rR0OVpQ=="],
 
     "tw-to-css/tailwindcss": ["tailwindcss@3.3.2", "", { "dependencies": { "@alloc/quick-lru": "^5.2.0", "arg": "^5.0.2", "chokidar": "^3.5.3", "didyoumean": "^1.2.2", "dlv": "^1.1.3", "fast-glob": "^3.2.12", "glob-parent": "^6.0.2", "is-glob": "^4.0.3", "jiti": "^1.18.2", "lilconfig": "^2.1.0", "micromatch": "^4.0.5", "normalize-path": "^3.0.0", "object-hash": "^3.0.0", "picocolors": "^1.0.0", "postcss": "^8.4.23", "postcss-import": "^15.1.0", "postcss-js": "^4.0.1", "postcss-load-config": "^4.0.1", "postcss-nested": "^6.0.1", "postcss-selector-parser": "^6.0.11", "postcss-value-parser": "^4.2.0", "resolve": "^1.22.2", "sucrase": "^3.32.0" }, "bin": { "tailwind": "lib/cli.js", "tailwindcss": "lib/cli.js" } }, "sha512-9jPkMiIBXvPc2KywkraqsUfbfj+dHDb+JPWtSJa9MLFdrPyazI7q6WX2sUrm7R9eVR7qqv3Pas7EvQFzxKnI6w=="],

docs/design/v1-v2-database-migration.md

@@ -0,0 +1,118 @@
+# V1 to V2 Database Migration
+
+## Approach
+
+- Use the `dev` branch database schema and migration registry as the V1 baseline.
+- Remove migrations that exist only on the V2 branch.
+- Generate one canonical migration from the `dev` schema to the final V2 schema.
+- Add explicit data operations to that migration where generated DDL is insufficient.
+- Test the migration against a populated database at the exact `dev` schema.
+
+## Preserve
+
+The canonical V1 data remains in its existing tables. In particular, preserve `session`, `message`, and `part` rows.
+
+Preserve `workspace` rows and existing `session.workspace_id` values unchanged. The migration must not clear or rebuild
+workspace relationships.
+
+Keep the `todo` table and its data unchanged. V2 does not currently migrate todos into another representation, and the
+generated migration must not drop the table.
+
+## Truncate
+
+Truncate these pre-launch V2 tables before applying schema changes:
+
+- `event`
+- `event_sequence`
+- `session_message`
+
+These rows are not canonical V1 data. Truncating `event` before adding the required `event.created` column means the
+column needs neither a backfill nor a default. After truncation, rebuild `session_message` from canonical V1 `message`
+and `part` rows rather than retaining its pre-launch V2 contents.
+
+## Message Backfill
+
+Backfill canonical V1 history from `message` and `part` into `session_message`. This is the main data transformation in
+the migration. Preserving the V1 tables alone keeps the data safe but does not make existing history visible through the
+V2 session APIs, which read `session_message`.
+
+Reuse each V1 `message.id` as the corresponding `session_message.id`. Stable IDs keep the migration deterministic and
+avoid rewriting other persisted state that may refer to a message.
+
+Within each session, order V1 messages by `time_created` and then `id`, matching the existing V1 message index. Assign
+contiguous `session_message.seq` values starting at `0`.
+
+Map ordinary V1 messages one-to-one by role. Each ordinary V1 user message becomes one V2 `user` row, and each ordinary
+V1 assistant message becomes one V2 `assistant` row. Fold the source message's ordered V1 parts into that row's V2
+payload.
+
+Handle semantic marker parts before applying the ordinary mapping. In particular, a V1 user message containing a
+`compaction` part and its paired assistant summary represent one compaction operation, not two ordinary messages. Special
+part mappings must be decided explicitly before implementing the backfill.
+
+V1 synthetic content is represented by user text parts with `synthetic: true`, not by a separate message role. A V1 user
+message whose visible text parts are all synthetic should become a V2 `synthetic` message. If a V1 user message mixes
+ordinary and synthetic content, preserve the ordinary content in the V2 `user` row and emit the synthetic content as an
+adjacent V2 `synthetic` row. Ignore text parts marked `ignored`, matching V1 model-history behavior.
+
+Use the V1 compaction user message ID as the ID of the collapsed V2 compaction message. This matches V2's use of the
+admitted compaction input ID and preserves references to the initiating message.
+
+For a completed compaction, create one V2 `compaction` row with `status: "completed"`. Set `reason` from the V1
+compaction part's `auto` flag, join the paired summary assistant's nonempty text parts with blank lines for `summary`, and
+serialize the retained V1 tail beginning at `tail_start_id` for `recent`. Use an empty `recent` value when no tail was
+retained, and use the compaction user message creation time. Do not emit the paired summary assistant as a separate V2
+assistant row.
+
+After rebuilding `session_message`, seed `event_sequence` with one row per migrated session. Set its watermark to that
+session's maximum backfilled `session_message.seq`. This prevents new V2 events from reusing sequence numbers or sorting
+before migrated history. The `event` table remains empty.
+
+## Drop
+
+Drop these pre-launch V2 tables without preserving or transforming their rows:
+
+- `session_input`
+- `session_context_epoch`
+
+Do not transfer `session_input` rows into `session_pending`.
+
+## Create Empty
+
+Let the generated migration create these tables empty:
+
+- `instruction_blob`
+- `instruction_entry`
+- `instruction_state`
+- `session_pending`
+- `kv`
+
+V1 has no canonical data to backfill into these tables. V2 initializes their state as it runs.
+
+## Fork Storage
+
+V1 has no fork-boundary state to backfill. New V2 forks use a required message boundary and persist it in
+`session.fork_boundary`. The durable fork event contains no parent sequence. Its resolved boundary is one of:
+
+- `before`: copy messages before the identified message.
+- `through`: copy messages through the identified message.
+
+Forking an empty session is not supported. `session.fork_seq` and `session.fork_message_id` are not part of the final V2
+schema.
+
+New nullable session columns, including `fork_session_id`, `fork_boundary`, and `time_suspended`, require no explicit
+backfill. Existing rows naturally receive `NULL` when the generated migration adds the columns.
+
+## Verification
+
+The canonical migration test should seed representative V1 sessions, messages, parts, todos, projects, accounts,
+credentials, permissions, shares, and workspaces. After migration, it should verify:
+
+- Preserved rows and encoded values remain unchanged.
+- Todo rows remain available in the unchanged `todo` table.
+- `event` is empty, and stale pre-launch rows are absent from the rebuilt projections.
+- Backfilled `session_message` rows represent the canonical V1 `message` and `part` history.
+- Each migrated session's `event_sequence` watermark matches its maximum backfilled message sequence.
+- Dropped tables no longer exist.
+- New tables exist and are empty.
+- The final schema has no ungenerated changes.

packages/ai/AGENTS.md

@@ -46,7 +46,7 @@ const response = yield * LLMClient.generate(request)
 
 `LLM.request(...)` builds an `LLMRequest`. `LLMClient.generate(...)` reads the executable route carried by `request.model.route`, builds the provider-native body, asks the route's transport for a real `HttpClientRequest.HttpClientRequest`, sends it through `RequestExecutor.Service`, parses the provider stream into common `LLMEvent`s, and finally returns an `LLMResponse`.
 
-Use `LLMClient.stream(request)` when callers want incremental `LLMEvent`s. Use `LLMClient.generate(request)` when callers want those same events collected into an `LLMResponse`. Use `LLMClient.prepare<Body>(request)` to compile a request through the route pipeline without sending it — the optional `Body` type argument narrows `.body` to the route's native shape (e.g. `prepare<OpenAIChatBody>(...)` returns a `PreparedRequestOf<OpenAIChatBody>`). The runtime body is identical; the generic is a type-level assertion.
+Use `LLMClient.stream(request)` when callers want incremental `LLMEvent`s. Use `LLMClient.generate(request)` when callers want those same events collected into an `LLMResponse`.
 
 Filter or narrow `LLMEvent` streams with `LLMEvent.is.*` (camelCase guards, e.g. `events.filter(LLMEvent.is.toolCall)`). The kebab-case `LLMEvent.guards["tool-call"]` form also works but prefer `is.*` in new code.
 
@@ -138,13 +138,13 @@ packages/ai/src/
     ids.ts                  branded IDs, literal types, ProviderMetadata
     options.ts              Generation/Provider/Http options, Limits, Model, cache policy
     messages.ts             content parts, Message, ToolDefinition, LLMRequest
-    events.ts               Usage, individual events, LLMEvent, PreparedRequest, LLMResponse
+    events.ts               Usage, individual events, LLMEvent, LLMResponse
     errors.ts               error reasons, LLMError, ToolFailure
     index.ts                barrel
   llm.ts                    request constructors and convenience helpers
   route/
     index.ts                @opencode-ai/ai/route advanced barrel
-    client.ts               Route.make + LLMClient.prepare/stream/generate
+    client.ts               Route.make + LLMClient.stream/generate
     executor.ts             RequestExecutor service + transport error mapping
     protocol.ts             Protocol type + Protocol.make
     endpoint.ts             Endpoint type + Endpoint.path

packages/ai/README.md

@@ -196,7 +196,6 @@ The hosted result is represented as a provider-executed tool call and tool resul
 - **`LLM.generate` / `LLM.stream`** — re-exported from `LLMClient` for one-import use.
 - **`Message.user(...)` / `Message.assistant(...)` / `Message.tool(...)`** — message constructors from the canonical schema model.
 - **`Model.make(...)` / `ToolCallPart.make(...)` / `ToolResultPart.make(...)` / `ToolDefinition.make(...)`** — model and tool-related constructors from the canonical schema model.
-- **`LLMClient.prepare(request)`** — compile a request through protocol body construction, validation, and HTTP preparation without sending. Useful for inspection and testing.
 - **`LLMEvent.is.*`** — typed guards (`is.textDelta`, `is.toolCall`, `is.finish`, …) for filtering streams.
 - **`Image.generate({...})`** — generate images through a provider-neutral image request and response model.
 - **`ImageClient`** — Effect service and layer for image execution, parallel to `LLMClient`.

packages/ai/example/call-sites.md

@@ -568,7 +568,7 @@ App boundary = explicit durable-config -> typed-provider call
       calling `.model(...)`.
 - [x] Remove request-shaping defaults from `Model`; selected models now carry only
       id, provider, and configured route while defaults live on routes or requests.
-- [x] Rework `LLMClient.prepare` / `stream` / `generate` to read
+- [x] Rework `LLMClient.stream` / `generate` to read
       `request.model.route` directly instead of calling `registeredRoute(...)`.
 - [x] Remove `Route.make(...)` global registration from the normal execution
       path; keep route ids only as diagnostics/provider API labels.

packages/ai/example/tutorial.ts

@@ -50,18 +50,6 @@ const request = LLM.request({
   },
 })
 
-// `http` is intentionally not needed for normal calls. This shows the shape for
-// newly released provider fields before they deserve a typed provider option.
-const rawOverlayExample = LLM.request({
-  model,
-  prompt: "Show the final HTTP overlay shape.",
-  http: {
-    body: { metadata: { example: "tutorial" } },
-    headers: { "x-opencode-tutorial": "1" },
-    query: { debug: "1" },
-  },
-})
-
 // 3. `generate` sends the request and collects the event stream into one
 // response object. `response.text` is the collected text output.
 const generateOnce = Effect.gen(function* () {
@@ -222,33 +210,15 @@ const FakeEcho = {
   }),
 }
 
-// `LLMClient.prepare` is the lower-level inspection hook: it compiles through
-// body conversion, validation, endpoint, auth, and HTTP construction without
-// sending anything over the network.
-const inspectFakeProvider = Effect.gen(function* () {
-  const prepared = yield* LLMClient.prepare(
-    LLM.request({
-      model: FakeEcho.configure().model("tiny-echo"),
-      prompt: "Show me the provider pipeline.",
-    }),
-  )
-
-  console.log("\n== fake provider prepare ==")
-  console.log("route:", prepared.route)
-  console.log("body:", Formatter.formatJson(prepared.body, { space: 2 }))
-})
-
 // Provide the LLM runtime and the HTTP request executor once. Keep one path
-// enabled at a time so the tutorial can demonstrate generate, prepare, stream,
-// or tool-loop behavior without spending tokens on every example.
+// enabled at a time so the tutorial can demonstrate generate, stream, or
+// tool-loop behavior without spending tokens on every example.
 const requestExecutorLayer = RequestExecutor.fetchLayer
 const llmDeps = Layer.mergeAll(requestExecutorLayer, WebSocketExecutor.layer)
 const llmClientLayer = LLMClient.layer.pipe(Layer.provide(llmDeps))
 
 const program = Effect.gen(function* () {
   // yield* generateOnce
-  // yield* inspectFakeProvider
-  // yield* LLMClient.prepare(rawOverlayExample).pipe(Effect.andThen((prepared) => Effect.sync(() => console.log(prepared.body))))
   // yield* streamText
   // yield* generateStructuredObject
   // yield* generateDynamicObject.pipe(Effect.andThen((response) => Effect.sync(() => console.log(response.object))))

packages/ai/src/llm.ts

@@ -9,25 +9,28 @@ import {
   LLMRequest,
   LLMResponse,
   Message,
+  Model,
   SystemPart,
   ToolChoice,
   ToolDefinition,
   type ContentPart,
+  type ModelProviderOptions,
 } from "./schema"
 import { make as makeTool, toDefinitions, type ToolSchema } from "./tool"
 
 /** Input accepted by `LLM.request`, normalized into the canonical `LLMRequest` class. */
-export type RequestInput = Omit<
+export type RequestInput<SelectedModel extends Model = Model> = Omit<
   ConstructorParameters<typeof LLMRequest>[0],
-  "system" | "messages" | "tools" | "toolChoice" | "generation" | "http" | "providerOptions"
+  "model" | "system" | "messages" | "tools" | "toolChoice" | "generation" | "http" | "providerOptions"
 > & {
+  readonly model: SelectedModel
   readonly system?: string | SystemPart | ReadonlyArray<SystemPart>
   readonly prompt?: string | ContentPart | ReadonlyArray<ContentPart>
   readonly messages?: ReadonlyArray<Message | Message.Input>
   readonly tools?: ReadonlyArray<ToolDefinition.Input>
   readonly toolChoice?: ToolChoice.Input
   readonly generation?: GenerationOptions.Input
-  readonly providerOptions?: ConstructorParameters<typeof LLMRequest>[0]["providerOptions"]
+  readonly providerOptions?: NoInfer<ModelProviderOptions<SelectedModel>>
   readonly http?: HttpOptions.Input
 }
 
@@ -35,7 +38,7 @@ export const generate = LLMClient.generate
 
 export const stream = LLMClient.stream
 
-export const request = (input: RequestInput) => {
+export const request = <const SelectedModel extends Model>(input: RequestInput<SelectedModel>) => {
   const {
     system: requestSystem,
     prompt,
@@ -63,7 +66,7 @@ const GENERATE_OBJECT_TOOL_NAME = "generate_object"
 
 const GENERATE_OBJECT_TOOL_DESCRIPTION = "Return the structured result by calling this tool."
 
-type GenerateObjectBase = Omit<RequestInput, "tools" | "toolChoice">
+type GenerateObjectBase<SelectedModel extends Model = Model> = Omit<RequestInput<SelectedModel>, "tools" | "toolChoice">
 
 export class GenerateObjectResponse<T> {
   constructor(
@@ -80,11 +83,13 @@ export class GenerateObjectResponse<T> {
   }
 }
 
-export interface GenerateObjectOptions<S extends ToolSchema<any>> extends GenerateObjectBase {
+export interface GenerateObjectOptions<S extends ToolSchema<any>, SelectedModel extends Model = Model>
+  extends GenerateObjectBase<SelectedModel> {
   readonly schema: S
 }
 
-export interface GenerateObjectDynamicOptions extends GenerateObjectBase {
+export interface GenerateObjectDynamicOptions<SelectedModel extends Model = Model>
+  extends GenerateObjectBase<SelectedModel> {
   /** Raw JSON Schema object describing the expected output shape. */
   readonly jsonSchema: JsonSchema.JsonSchema
 }
@@ -137,11 +142,11 @@ const runGenerateObject = Effect.fn("LLM.generateObject")(function* (
  * 2. `jsonSchema: JsonSchema.JsonSchema` — `.object` is `unknown`. Use when
  *    the schema is only available at runtime (MCP, plugin manifests). Caller validates.
  */
-export function generateObject<S extends ToolSchema<any>>(
-  options: GenerateObjectOptions<S>,
+export function generateObject<const SelectedModel extends Model, S extends ToolSchema<any>>(
+  options: GenerateObjectOptions<S, SelectedModel>,
 ): Effect.Effect<GenerateObjectResponse<Schema.Schema.Type<S>>, LLMError>
-export function generateObject(
-  options: GenerateObjectDynamicOptions,
+export function generateObject<const SelectedModel extends Model>(
+  options: GenerateObjectDynamicOptions<SelectedModel>,
 ): Effect.Effect<GenerateObjectResponse<unknown>, LLMError>
 export function generateObject(options: GenerateObjectOptions<ToolSchema<any>> | GenerateObjectDynamicOptions) {
   if ("schema" in options) {

packages/ai/src/provider-package.ts

@@ -1,4 +1,4 @@
-import type { Model } from "./schema"
+import type { Model, ProviderOptions } from "./schema"
 
 export interface Settings extends Readonly<Record<string, unknown>> {
   readonly headers?: Readonly<Record<string, string>>
@@ -9,8 +9,11 @@ export interface Settings extends Readonly<Record<string, unknown>> {
   }
 }
 
-export interface Definition<ProviderSettings extends Settings = Settings> {
-  readonly model: (modelID: string, settings: ProviderSettings) => Model
+export interface Definition<
+  ProviderSettings extends Settings = Settings,
+  Options extends ProviderOptions = ProviderOptions,
+> {
+  readonly model: (modelID: string, settings: ProviderSettings) => Model<Options>
 }
 
 export * as ProviderPackage from "./provider-package"

packages/ai/src/providers/anthropic-compatible.ts

@@ -47,7 +47,7 @@ export const configure = (input: Config) => {
   })
   return {
     id: ProviderID.make(provider),
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
@@ -57,7 +57,10 @@ export const provider = {
   configure,
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => {
   if (settings.apiKey !== undefined && settings.authToken !== undefined)
     throw new Error("Anthropic-compatible apiKey cannot be combined with authToken")
   return configure({

packages/ai/src/providers/anthropic.ts

@@ -52,7 +52,10 @@ export const configure = (input: Config = {}) => {
 }
 
 export const provider = configure()
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => {
   if (settings.apiKey !== undefined && settings.authToken !== undefined)
     throw new Error("Anthropic apiKey cannot be combined with authToken")
   return configure({

packages/ai/src/providers/azure.ts

@@ -99,10 +99,14 @@ export const configure = (input: Config) => {
   const modelDefaults = defaults(input)
 
   const responses = (modelID: string | ModelID) =>
-    configuredResponsesRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })
+    configuredResponsesRoute
+      .with(withOpenAIOptions(modelID, modelDefaults))
+      .model<OpenAIProviderOptionsInput>({ id: modelID })
 
   const chat = (modelID: string | ModelID) =>
-    configuredChatRoute.with(withOpenAIOptions(modelID, modelDefaults)).model({ id: modelID })
+    configuredChatRoute
+      .with(withOpenAIOptions(modelID, modelDefaults))
+      .model<OpenAIProviderOptionsInput>({ id: modelID })
 
   return {
     id,
@@ -133,8 +137,12 @@ const config = (settings: Settings): Config => {
   throw new Error("Azure requires resourceName or baseURL")
 }
 
-export const responsesModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
-  configure(config(settings)).responses(modelID)
-export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
-  configure(config(settings)).chat(modelID)
+export const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => configure(config(settings)).responses(modelID)
+export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => configure(config(settings)).chat(modelID)
 export const model = responsesModel

packages/ai/src/providers/cloudflare.ts

@@ -4,6 +4,7 @@ import { Auth } from "../route/auth"
 import { AuthOptions, type AtLeastOne, type ProviderAuthOption } from "../route/auth-options"
 import type { RouteDefaultsInput } from "../route/client"
 import { ProviderID, type ModelID } from "../schema"
+import type { OpenAIProviderOptionsInput } from "./openai-options"
 
 export const aiGatewayID = ProviderID.make("cloudflare-ai-gateway")
 export const workersAIID = ProviderID.make("cloudflare-workers-ai")
@@ -20,10 +21,11 @@ type GatewayURL = AtLeastOne<{
 }
 
 export type AIGatewayOptions = GatewayURL &
-  RouteDefaultsInput &
+  Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
     /** Cloudflare AI Gateway authentication token. Sent as `cf-aig-authorization`. */
     readonly gatewayApiKey?: CloudflareSecret
+    readonly providerOptions?: OpenAIProviderOptionsInput
   }
 
 type WorkersAIURL = AtLeastOne<{
@@ -31,7 +33,11 @@ type WorkersAIURL = AtLeastOne<{
   readonly baseURL: string
 }>
 
-export type WorkersAIOptions = WorkersAIURL & RouteDefaultsInput & ProviderAuthOption<"optional">
+export type WorkersAIOptions = WorkersAIURL &
+  Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
 
 export const aiGatewayBaseURL = (input: GatewayURL) => {
   if (input.baseURL) return input.baseURL
@@ -98,7 +104,7 @@ const configureAIGateway = (options: AIGatewayOptions) => {
   })
   return {
     id: aiGatewayID,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
     configure: configureAIGateway,
   }
 }
@@ -111,7 +117,7 @@ const configureWorkersAI = (options: WorkersAIOptions) => {
   })
   return {
     id: workersAIID,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
     configure: configureWorkersAI,
   }
 }

packages/ai/src/providers/github-copilot.ts

@@ -50,9 +50,11 @@ export const configure = (options: ModelOptions) => {
   const responsesRoute = configuredResponsesRoute(options)
   const chatRoute = configuredChatRoute(options)
   const responses = (modelID: string | ModelID) =>
-    responsesRoute.with(withOpenAIOptions(modelID, defaults(options))).model({ id: modelID })
+    responsesRoute
+      .with(withOpenAIOptions(modelID, defaults(options)))
+      .model<OpenAIProviderOptionsInput>({ id: modelID })
   const chat = (modelID: string | ModelID) =>
-    chatRoute.with(withOpenAIOptions(modelID, defaults(options))).model({ id: modelID })
+    chatRoute.with(withOpenAIOptions(modelID, defaults(options))).model<OpenAIProviderOptionsInput>({ id: modelID })
   return {
     id,
     model: (modelID: string | ModelID) =>

packages/ai/src/providers/google-vertex-chat.ts

@@ -1,8 +1,9 @@
 import type { ProviderPackage } from "../provider-package"
 import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat"
 import type { RouteDefaultsInput } from "../route/client"
-import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
+import { ProviderID, type ModelID } from "../schema"
 import { GoogleVertexShared } from "./google-vertex-shared"
+import type { OpenAIProviderOptionsInput } from "./openai-options"
 
 export const id = ProviderID.make("google-vertex")
 
@@ -11,6 +12,7 @@ export type Config = RouteDefaultsInput &
     readonly baseURL?: string
     readonly location?: string
     readonly project?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
   }
 
 export interface Settings extends ProviderPackage.Settings {
@@ -19,7 +21,7 @@ export interface Settings extends ProviderPackage.Settings {
   readonly baseURL?: string
   readonly location?: string
   readonly project?: string
-  readonly providerOptions?: ProviderOptions
+  readonly providerOptions?: OpenAIProviderOptionsInput
 }
 
 const route = OpenAICompatibleChat.route.with({
@@ -56,7 +58,7 @@ export const configure = (input: Config = {}) => {
   const route = configuredRoute(input)
   return {
     id,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
@@ -66,7 +68,7 @@ export const provider = {
   configure,
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) => {
   if (settings.apiKey !== undefined) throw new Error("Google Vertex Chat does not support API keys")
   return configure({
     accessToken: settings.accessToken,

packages/ai/src/providers/google-vertex-messages.ts

@@ -91,7 +91,7 @@ export const configure = (input: Config = {}) => {
   const route = configuredRoute(input)
   return {
     id,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<AnthropicMessages.ProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
@@ -101,7 +101,10 @@ export const provider = {
   configure,
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, AnthropicMessages.ProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => {
   if (settings.apiKey !== undefined) throw new Error("Google Vertex Messages does not support API keys")
   return configure({
     accessToken: settings.accessToken,

packages/ai/src/providers/google-vertex-responses.ts

@@ -1,8 +1,9 @@
 import type { ProviderPackage } from "../provider-package"
 import { OpenAICompatibleResponses } from "../protocols/openai-compatible-responses"
 import type { RouteDefaultsInput } from "../route/client"
-import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
+import { ProviderID, type ModelID } from "../schema"
 import { GoogleVertexShared } from "./google-vertex-shared"
+import type { OpenResponsesProviderOptionsInput } from "./open-responses-options"
 
 export const id = ProviderID.make("google-vertex")
 
@@ -11,6 +12,7 @@ export type Config = RouteDefaultsInput &
     readonly baseURL?: string
     readonly location?: string
     readonly project?: string
+    readonly providerOptions?: OpenResponsesProviderOptionsInput
   }
 
 export interface Settings extends ProviderPackage.Settings {
@@ -19,7 +21,7 @@ export interface Settings extends ProviderPackage.Settings {
   readonly baseURL?: string
   readonly location?: string
   readonly project?: string
-  readonly providerOptions?: ProviderOptions
+  readonly providerOptions?: OpenResponsesProviderOptionsInput
 }
 
 const route = OpenAICompatibleResponses.route.with({
@@ -58,7 +60,7 @@ export const configure = (input: Config = {}) => {
   const route = configuredRoute(input)
   return {
     id,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
@@ -68,7 +70,10 @@ export const provider = {
   configure,
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => {
   if (settings.apiKey !== undefined) throw new Error("Google Vertex Responses does not support API keys")
   return configure({
     accessToken: settings.accessToken,

packages/ai/src/providers/google-vertex.ts

@@ -77,7 +77,8 @@ const configuredRoute = (input: Config, modelID: string | ModelID) => {
 export const configure = (input: Config = {}) => {
   return {
     id,
-    model: (modelID: string | ModelID) => configuredRoute(input, modelID).model({ id: modelID }),
+    model: (modelID: string | ModelID) =>
+      configuredRoute(input, modelID).model<Gemini.ProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
@@ -86,7 +87,10 @@ export const provider = {
   id,
   configure,
 }
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => {
   if (settings.apiKey !== undefined && settings.accessToken !== undefined)
     throw new Error("Google Vertex apiKey cannot be combined with accessToken or auth")
   return configure({

packages/ai/src/providers/google.ts

@@ -50,14 +50,14 @@ export const configure = (input: Config = {}) => {
     })
   return {
     id,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),
     image,
     configure,
   }
 }
 
 export const provider = configure()
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
+export const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsInput>["model"] = (modelID, settings) =>
   configure({
     apiKey: settings.apiKey,
     baseURL: settings.baseURL,

packages/ai/src/providers/openai-compatible-responses.ts

@@ -36,7 +36,7 @@ export const configure = (input: Config) => {
   })
   return {
     id: ProviderID.make(provider),
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<OpenResponsesProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
@@ -46,7 +46,10 @@ export const provider = {
   configure,
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
+export const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) =>
   configure({
     apiKey: settings.apiKey,
     baseURL: settings.baseURL,

packages/ai/src/providers/openai-compatible.ts

@@ -4,13 +4,15 @@ import type { RouteDefaultsInput } from "../route/client"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
 import type { ProviderPackage } from "../provider-package"
 import { profiles, type OpenAICompatibleProfile } from "./openai-compatible-profile"
+import type { OpenAIProviderOptionsInput } from "./openai-options"
 
 export const id = ProviderID.make("openai-compatible")
 
-type GenericModelOptions = RouteDefaultsInput &
+type GenericModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
     readonly provider?: string
     readonly baseURL: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
   }
 
 export interface Settings extends ProviderPackage.Settings {
@@ -19,9 +21,10 @@ export interface Settings extends ProviderPackage.Settings {
   readonly provider?: string
 }
 
-export type FamilyModelOptions = RouteDefaultsInput &
+export type FamilyModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
     readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
   }
 
 export const routes = [OpenAICompatibleChat.route]
@@ -37,7 +40,8 @@ export const configure = (input: GenericModelOptions) => {
   })
   return {
     id: ProviderID.make(provider),
-    model: (modelID: string | ModelID) => route.model({ id: modelID, provider: ProviderID.make(provider) }),
+    model: (modelID: string | ModelID) =>
+      route.model<OpenAIProviderOptionsInput>({ id: modelID, provider: ProviderID.make(provider) }),
     configure,
   }
 }
@@ -63,7 +67,7 @@ export const provider = {
   configure,
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
   configure({
     apiKey: settings.apiKey,
     baseURL: settings.baseURL,

packages/ai/src/providers/openai.ts

@@ -86,10 +86,15 @@ export const configure = (input: Config = {}) => {
   const chatRoute = configuredRoute(OpenAIChat.route, input)
   const modelDefaults = defaults(input)
   const responses = (id: string | ModelID) =>
-    responsesRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
+    responsesRoute
+      .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))
+      .model<OpenAIProviderOptionsInput>({ id })
   const responsesWebSocket = (id: string | ModelID) =>
-    responsesWebSocketRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
-  const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ id })
+    responsesWebSocketRoute
+      .with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true }))
+      .model<OpenAIProviderOptionsInput>({ id })
+  const chat = (id: string | ModelID) =>
+    chatRoute.with(withOpenAIOptions(id, modelDefaults)).model<OpenAIProviderOptionsInput>({ id })
   const image = (modelID: string | ModelID) =>
     OpenAIImages.model({
       id: modelID,
@@ -132,15 +137,17 @@ const config = (settings: Settings): Config => {
   }
 }
 
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) => {
   const configured = configure(config(settings))
   if (settings.transport === undefined || settings.transport === "http") return configured.responses(modelID)
   if (settings.transport === "websocket") return configured.responsesWebSocket(modelID)
   throw new Error(`Unsupported OpenAI Responses transport: ${String(settings.transport)}`)
 }
 
-export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
-  configure(config(settings)).chat(modelID)
+export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) => configure(config(settings)).chat(modelID)
 export const responses = provider.responses
 export const responsesWebSocket = provider.responsesWebSocket
 export const chat = provider.chat

packages/ai/src/providers/openrouter.ts

@@ -5,6 +5,7 @@ import { Framing } from "../route/framing"
 import { Protocol } from "../route/protocol"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
 import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
+import type { ProviderPackage } from "../provider-package"
 import * as OpenAICompatibleProfiles from "./openai-compatible-profile"
 import * as OpenAIChat from "../protocols/openai-chat"
 import { isRecord } from "../protocols/shared"
@@ -30,6 +31,12 @@ export type ModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
     readonly providerOptions?: OpenRouterProviderOptionsInput
   }
 
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: OpenRouterProviderOptionsInput
+}
+
 const OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields), [
   Schema.Record(Schema.String, Schema.Any),
 ])
@@ -107,10 +114,21 @@ export const configure = (input: ModelOptions = {}) => {
   const route = configuredRoute(input)
   return {
     id,
-    model: (modelID: string | ModelID) => route.model({ id: modelID }),
+    model: (modelID: string | ModelID) => route.model<OpenRouterProviderOptionsInput>({ id: modelID }),
     configure,
   }
 }
 
 export const provider = configure()
-export const model = provider.model
+export const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>["model"] = (
+  modelID,
+  settings,
+) =>
+  configure({
+    apiKey: settings.apiKey,
+    baseURL: settings.baseURL,
+    headers: settings.headers,
+    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
+    limits: settings.limits,
+    providerOptions: settings.providerOptions,
+  }).model(modelID)

packages/ai/src/providers/xai.ts

@@ -5,14 +5,23 @@ import * as OpenAICompatibleProfiles from "./openai-compatible-profile"
 import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat"
 import * as OpenAIResponses from "../protocols/openai-responses"
 import { XAIImages } from "../protocols/xai-images"
+import type { OpenAIProviderOptionsInput } from "./openai-options"
+import type { ProviderPackage } from "../provider-package"
 
 export const id = ProviderID.make("xai")
 
-export type ModelOptions = RouteDefaultsInput &
+export type ModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
     readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
   }
 
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: OpenAIProviderOptionsInput
+}
+
 export type { XAIImageOptions } from "../protocols/xai-images"
 
 export const routes = [OpenAIResponses.route, OpenAICompatibleChat.route]
@@ -42,8 +51,8 @@ const configuredChatRoute = (input: ModelOptions) => {
 export const configure = (input: ModelOptions = {}) => {
   const responsesRoute = configuredResponsesRoute(input)
   const chatRoute = configuredChatRoute(input)
-  const responses = (modelID: string | ModelID) => responsesRoute.model({ id: modelID })
-  const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID })
+  const responses = (modelID: string | ModelID) => responsesRoute.model<OpenAIProviderOptionsInput>({ id: modelID })
+  const chat = (modelID: string | ModelID) => chatRoute.model<OpenAIProviderOptionsInput>({ id: modelID })
   const image = (modelID: string | ModelID) =>
     XAIImages.model({
       id: modelID,
@@ -63,7 +72,15 @@ export const configure = (input: ModelOptions = {}) => {
 }
 
 export const provider = configure()
-export const model = provider.model
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
+  configure({
+    apiKey: settings.apiKey,
+    baseURL: settings.baseURL,
+    headers: settings.headers,
+    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
+    limits: settings.limits,
+    providerOptions: settings.providerOptions,
+  }).model(modelID)
 export const responses = provider.responses
 export const chat = provider.chat
 export const image = provider.image

packages/ai/src/route/client.ts

@@ -10,7 +10,7 @@ import { WebSocketExecutor } from "./transport"
 import type { Protocol } from "./protocol"
 import { applyCachePolicy } from "../cache-policy"
 import * as ProviderShared from "../protocols/shared"
-import type { LLMError, PreparedRequestOf, ProtocolID, ProviderOptions } from "../schema"
+import type { LLMError, ProtocolID, ProviderOptions } from "../schema"
 import {
   GenerationOptions,
   HttpOptions,
@@ -20,7 +20,6 @@ import {
   ModelLimits,
   LLMError as LLMErrorClass,
   LLMEvent,
-  PreparedRequest,
   ProviderID,
   mergeGenerationOptions,
   mergeHttpOptions,
@@ -46,7 +45,7 @@ export interface Route<Body, Prepared = unknown> {
   readonly defaults: RouteDefaults
   readonly body: RouteBody<Body>
   readonly with: (patch: RoutePatch<Body, Prepared>) => Route<Body, Prepared>
-  readonly model: (input: RouteMappedModelInput) => Model
+  readonly model: <Options extends ProviderOptions = ProviderOptions>(input: RouteMappedModelInput) => Model<Options>
   readonly prepareTransport: (body: Body, request: LLMRequest) => Effect.Effect<Prepared, LLMError>
   readonly streamPrepared: (
     prepared: Prepared,
@@ -93,12 +92,12 @@ export interface RoutePatch<Body, Prepared> extends RouteDefaultsInput {
 
 type RouteMappedModelInput = RouteModelInput | RouteRoutedModelInput
 
-const makeRouteModel = (route: AnyRoute, mapped: RouteMappedModelInput) => {
+const makeRouteModel = <Options extends ProviderOptions = ProviderOptions>(route: AnyRoute, mapped: RouteMappedModelInput) => {
   const provider = route.provider ?? ("provider" in mapped ? mapped.provider : undefined)
   if (!provider) throw new Error(`Route.model(${route.id}) requires a provider`)
   if (!endpointBaseURL(route.endpoint))
     throw new Error(`Route.model(${route.id}) requires an endpoint baseURL — configure it on the route first`)
-  return Model.make({
+  return Model.make<Options>({
     ...mapped,
     provider,
     route,
@@ -142,17 +141,6 @@ export const httpOptions = (input: HttpOptionsInput | undefined) => {
 }
 
 export interface Interface {
-  /**
-   * Compile a request through protocol body construction, validation, and HTTP
-   * preparation without sending it. Returns the prepared request including the
-   * provider-native body.
-   *
-   * Pass a `Body` type argument to statically expose the route's body
-   * shape (e.g. `prepare<OpenAIChatBody>(...)`) — the runtime body is
-   * identical, so this is a type-level assertion the caller makes about which
-   * route the request will resolve to.
-   */
-  readonly prepare: <Body = unknown>(request: LLMRequest) => Effect.Effect<PreparedRequestOf<Body>, LLMError>
   readonly stream: StreamMethod
   readonly generate: GenerateMethod
 }
@@ -296,7 +284,8 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
           defaults: mergeRouteDefaults(route.defaults, defaults),
         })
       },
-      model: (input) => makeRouteModel(route, input),
+      model: <Options extends ProviderOptions = ProviderOptions>(input: RouteMappedModelInput) =>
+        makeRouteModel<Options>(route, input),
       prepareTransport: (body, request) =>
         routeInput.transport.prepare({
           body,
@@ -370,9 +359,6 @@ export function make<Body, Prepared, Frame, Event, State>(
   })
 }
 
-// `compile` is the important boundary: it turns a common `LLMRequest` into a
-// validated provider body plus transport-private prepared data, but does not
-// execute transport.
 const compile = Effect.fn("LLM.compile")(function* (request: LLMRequest) {
   const resolved = applyCachePolicy(resolveRequestOptions(request))
   const route = resolved.model.route
@@ -390,17 +376,17 @@ const compile = Effect.fn("LLM.compile")(function* (request: LLMRequest) {
   }
 })
 
-const prepareWith = Effect.fn("LLMClient.prepare")(function* (request: LLMRequest) {
+/** @internal Test-only projection of the execution compiler; not exported from package barrels. */
+export const compileRequest = Effect.fn("LLM.compileRequest")(function* (request: LLMRequest) {
   const compiled = yield* compile(request)
-
-  return new PreparedRequest({
+  return {
     id: compiled.request.id ?? "request",
     route: compiled.route.id,
     protocol: compiled.route.protocol,
     model: compiled.request.model,
     body: compiled.body,
     metadata: { transport: compiled.route.transport.id },
-  })
+  }
 })
 
 const streamRequestWith = (runtime: TransportRuntime) => (request: LLMRequest) =>
@@ -422,9 +408,6 @@ const generateWith = (stream: Interface["stream"]) =>
     )
   })
 
-export const prepare = <Body = unknown>(request: LLMRequest) =>
-  prepareWith(request) as Effect.Effect<PreparedRequestOf<Body>, LLMError>
-
 export function stream(request: LLMRequest): Stream.Stream<LLMEvent, LLMError> {
   return Stream.unwrap(
     Effect.gen(function* () {
@@ -453,7 +436,7 @@ export const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer
       http: yield* RequestExecutor.Service,
       webSocket: Option.getOrUndefined(yield* Effect.serviceOption(WebSocketExecutor.Service)),
     })
-    return Service.of({ prepare: prepareWith as Interface["prepare"], stream, generate: generateWith(stream) })
+    return Service.of({ stream, generate: generateWith(stream) })
   }),
 )
 
@@ -462,7 +445,6 @@ export const Route = { make } as const
 export const LLMClient = {
   Service,
   layer,
-  prepare,
   stream,
   generate,
 } as const

packages/ai/src/schema/events.ts

@@ -1,6 +1,5 @@
 import { Schema } from "effect"
-import { ContentBlockID, FinishReason, ProtocolID, ProviderMetadata, RouteID, ToolCallID } from "./ids"
-import { ModelSchema } from "./options"
+import { ContentBlockID, FinishReason, ProviderMetadata, ToolCallID } from "./ids"
 import { Message, ToolCallPart, ToolOutput, ToolResultPart, ToolResultValue, type ContentPart } from "./messages"
 import { ProviderFailureClassification } from "./errors"
 
@@ -314,29 +313,6 @@ export const LLMEvent = Object.assign(llmEventTagged, {
 })
 export type LLMEvent = Schema.Schema.Type<typeof llmEventTagged>
 
-export class PreparedRequest extends Schema.Class<PreparedRequest>("LLM.PreparedRequest")({
-  id: Schema.String,
-  route: RouteID,
-  protocol: ProtocolID,
-  model: ModelSchema,
-  body: Schema.Unknown,
-  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
-}) {}
-
-/**
- * A `PreparedRequest` whose `body` is typed as `Body`. Use with the generic
- * on `LLMClient.prepare<Body>(...)` when the caller knows which route their
- * request will resolve to and wants its native shape statically exposed
- * (debug UIs, request previews, plan rendering).
- *
- * The runtime body is identical — the route still emits `body: unknown` — so
- * this is a type-level assertion the caller makes about what they expect to
- * find. The prepare runtime does not validate the assertion.
- */
-export type PreparedRequestOf<Body> = Omit<PreparedRequest, "body"> & {
-  readonly body: Body
-}
-
 const responseText = (events: ReadonlyArray<LLMEvent>) =>
   events
     .filter(LLMEvent.is.textDelta)

packages/ai/src/schema/options.ts

@@ -178,7 +178,8 @@ export namespace ModelCompatibility {
   export const make = (input: Input) => (input instanceof ModelCompatibility ? input : new ModelCompatibility(input))
 }
 
-export class Model {
+export class Model<Options extends ProviderOptions = ProviderOptions> {
+  declare protected readonly _ProviderOptions: Options
   readonly id: ModelID
   readonly provider: ProviderID
   readonly route: AnyRoute
@@ -193,8 +194,8 @@ export class Model {
     this.compatibility = input.compatibility
   }
 
-  static make(input: Model.Input) {
-    return new Model({
+  static make<Options extends ProviderOptions = ProviderOptions>(input: Model.Input) {
+    return new Model<Options>({
       id: ModelID.make(input.id),
       provider: ProviderID.make(input.provider),
       route: input.route,
@@ -203,7 +204,7 @@ export class Model {
     })
   }
 
-  static input(model: Model): Model.ConstructorInput {
+  static input<Options extends ProviderOptions>(model: Model<Options>): Model.ConstructorInput {
     return {
       id: model.id,
       provider: model.provider,
@@ -213,9 +214,9 @@ export class Model {
     }
   }
 
-  static update(model: Model, patch: Partial<Model.Input>) {
+  static update<Options extends ProviderOptions>(model: Model<Options>, patch: Partial<Model.Input>) {
     if (Object.keys(patch).length === 0) return model
-    return Model.make({
+    return Model.make<Options>({
       ...Model.input(model),
       ...patch,
     })
@@ -241,6 +242,8 @@ export namespace Model {
 
 export type ModelInput = Model.Input
 
+export type ModelProviderOptions<SelectedModel> = SelectedModel extends Model<infer Options> ? Options : never
+
 export const ModelSchema = Schema.declare((value): value is Model => value instanceof Model, { expected: "LLM.Model" })
 
 export class CacheHint extends Schema.Class<CacheHint>("LLM.CacheHint")({

packages/ai/src/testing.ts

@@ -99,7 +99,6 @@ export const layer = (options: LayerOptions = {}) =>
         )
       }) as LLMClientShape["stream"]
       const client = LLMClient.Service.of({
-        prepare: () => Effect.die("TestLLM does not prepare provider-native requests"),
         stream,
         generate: (request) =>
           stream(request).pipe(

packages/ai/test/adapter.test.ts

@@ -2,6 +2,7 @@ import { describe, expect } from "bun:test"
 import { Effect, Schema, Stream } from "effect"
 import { LLM, LLMRequest, LLMResponse } from "../src"
 import { Route, Endpoint, LLMClient, Protocol, type FramingDef } from "../src/route"
+import { compileRequest } from "../src/route/client"
 import { Model } from "../src/schema"
 import { testEffect } from "./lib/effect"
 import { dynamicResponse } from "./lib/http"
@@ -139,8 +140,7 @@ describe("llm route", () => {
 
   it.effect("selects routes by model route value", () =>
     Effect.gen(function* () {
-      const llm = yield* LLMClient.Service
-      const prepared = yield* llm.prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, { model: updateModel(request.model, { route: configuredGemini }) }),
       )
 
@@ -173,7 +173,7 @@ describe("llm route", () => {
         framing: fakeFraming,
       })
 
-      const prepared = yield* (yield* LLMClient.Service).prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, { model: updateModel(request.model, { route: duplicate }) }),
       )
 

packages/ai/test/cache-policy.test.ts

@@ -1,7 +1,8 @@
 import { describe, expect, test } from "bun:test"
 import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../src"
-import { Auth, LLMClient } from "../src/route"
+import { Auth } from "../src/route"
+import { compileRequest } from "../src/route/client"
 import { AmazonBedrock } from "../src/providers"
 import * as AnthropicMessages from "../src/protocols/anthropic-messages"
 import * as Gemini from "../src/protocols/gemini"
@@ -31,7 +32,7 @@ const geminiModel = Gemini.route
 describe("applyCachePolicy", () => {
   it.effect("undefined cache resolves to 'auto' (the recommended default)", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           system: "You are concise.",
@@ -50,7 +51,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("'auto' marks the last tool, first and last system parts, and final message boundary on Anthropic", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           system: [
@@ -87,7 +88,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("'auto' is a no-op on OpenAI (implicit caching protocol)", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: openaiModel,
           system: "Sys",
@@ -106,7 +107,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("'auto' is a no-op on Gemini (out-of-band caching protocol)", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: geminiModel,
           system: "Sys",
@@ -123,7 +124,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("'auto' on Bedrock emits cachePoint markers in the right places", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: bedrockModel,
           system: [
@@ -157,7 +158,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("'none' disables auto placement even when manual hints exist", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           system: "Sys",
@@ -176,7 +177,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("granular object form: tools-only marks just tools", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           system: "Sys",
@@ -195,7 +196,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("auto policy preserves manual CacheHints on other parts", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           system: [
@@ -241,7 +242,7 @@ describe("applyCachePolicy", () => {
       expect("cache" in tail ? tail.cache : undefined).toBeUndefined()
       expect(applyCachePolicy(applied)).toBe(applied)
 
-      const prepared = yield* LLMClient.prepare(request)
+      const prepared = yield* compileRequest(request)
 
       const body = prepared.body as {
         tools: Array<{ cache_control?: unknown }>
@@ -261,7 +262,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("ttlSeconds in the policy flows through to wire markers", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           system: "Sys",
@@ -278,7 +279,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("messages: { tail: 2 } marks the last 2 message boundaries", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           messages: [Message.user("u1"), Message.assistant("a1"), Message.user("u2"), Message.assistant("a2")],
@@ -296,7 +297,7 @@ describe("applyCachePolicy", () => {
 
   it.effect("'latest-assistant' marks the last assistant message", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: anthropicModel,
           messages: [Message.user("u1"), Message.assistant("a1"), Message.user("u2")],

packages/ai/test/compile.test.ts

@@ -4,6 +4,7 @@ import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, mergeProviderOptions } from "../src"
 import { AnthropicMessages, OpenAIChat } from "../src/protocols"
 import { Auth, LLMClient } from "../src/route"
+import { compileRequest } from "../src/route/client"
 import { it } from "./lib/effect"
 import { dynamicResponse } from "./lib/http"
 import { deltaChunk } from "./lib/openai-chunks"
@@ -44,7 +45,7 @@ describe("request option precedence", () => {
     })
   })
 
-  it.effect("prepares bodies with route defaults, model defaults, and call options in order", () =>
+  it.effect("compiles bodies with route defaults, model defaults, and call options in order", () =>
     Effect.gen(function* () {
       const route = OpenAIChat.route.with({
         endpoint: { baseURL: "https://api.openai.test/v1/" },
@@ -59,7 +60,7 @@ describe("request option precedence", () => {
           providerOptions: { openai: { reasoningEffort: "medium" } },
         },
       })
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           prompt: "Say hello.",
@@ -141,7 +142,7 @@ describe("request option precedence", () => {
       const model = OpenAIChat.route
         .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
         .model({ id: "gpt-4o-mini" })
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model,
           prompt: "Say hello.",
@@ -164,10 +165,8 @@ describe("request option precedence", () => {
         limits: { output: 128 },
       })
       const model = route.model({ id: "claude-sonnet-4-5", defaults: { limits: { output: 64 } } })
-      const withoutMaxTokens = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
-        LLM.request({ model, prompt: "Say hello.", cache: "none" }),
-      )
-      const withMaxTokens = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const withoutMaxTokens = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
+      const withMaxTokens = yield* compileRequest(
         LLM.request({ model, prompt: "Say hello.", cache: "none", generation: { maxTokens: 32 } }),
       )
 

packages/ai/test/exports.test.ts

@@ -53,9 +53,7 @@ describe("public exports", () => {
     expect(CloudflareWorkersAI.configure).toBeFunction()
     expect(CloudflareWorkersAI.configure({ accountId: "fixture", apiKey: "fixture" }).model).toBeFunction()
     expect(OpenRouter.model).toBeFunction()
-    expect(OpenRouter.provider.model).toBe(OpenRouter.model)
     expect(XAI.model).toBeFunction()
-    expect(XAI.provider.model).toBe(XAI.model)
     expect(XAI.provider.responses).toBe(XAI.responses)
     expect(XAI.provider.chat).toBe(XAI.chat)
     expect(XAI.configure({ apiKey: "fixture" }).responses("grok-4.3").route.id).toBe("openai-responses")

packages/ai/test/llm-option-types.types.ts

@@ -0,0 +1,47 @@
+import { Schema } from "effect"
+import { LLM, type Model, type ModelProviderOptions, type ProviderOptions } from "../src"
+import { OpenAIChat } from "../src/protocols"
+
+interface ExampleOptions {
+  readonly [key: string]: unknown
+  readonly mode?: "fast" | "thorough"
+}
+
+type ExampleProviderOptions = ProviderOptions & {
+  readonly example?: ExampleOptions
+}
+
+const model = OpenAIChat.route
+  .with({ endpoint: { baseURL: "https://example.com/v1" } })
+  .model<ExampleProviderOptions>({ id: "example" })
+
+LLM.request({ model, prompt: "Hello", providerOptions: { example: { mode: "fast" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { future: { option: true } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Known provider options preserve their value types.
+  providerOptions: { example: { mode: "slow" } },
+})
+
+LLM.generateObject({
+  model,
+  prompt: "Hello",
+  schema: Schema.Struct({ answer: Schema.String }),
+  providerOptions: { example: { mode: "thorough" } },
+})
+
+LLM.generateObject({
+  model,
+  prompt: "Hello",
+  jsonSchema: { type: "object" },
+  // @ts-expect-error Dynamic object generation uses the selected model's provider options.
+  providerOptions: { example: { mode: false } },
+})
+
+declare const generic: Model
+LLM.request({ model: generic, prompt: "Hello", providerOptions: { arbitrary: { option: true } } })
+
+const options: ModelProviderOptions<typeof model> = { example: { mode: "fast" } }
+void options

packages/ai/test/provider-options/anthropic-compatible.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { AnthropicCompatible } from "../../src/providers"
+
+const model = AnthropicCompatible.configure({ baseURL: "https://example.com" }).model("claude")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { effort: "high" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Anthropic effort must be a string.
+  providerOptions: { anthropic: { effort: 1 } },
+})

packages/ai/test/provider-options/anthropic.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { Anthropic } from "../../src/providers"
+
+const model = Anthropic.provider.model("claude-sonnet-4-5")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { thinking: { type: "adaptive" } } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Anthropic thinking modes are a fixed union.
+  providerOptions: { anthropic: { thinking: { type: "automatic" } } },
+})

packages/ai/test/provider-options/azure.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { Azure } from "../../src/providers"
+
+const model = Azure.configure({ resourceName: "example" }).responses("deployment")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { store: false } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Azure OpenAI store must be boolean.
+  providerOptions: { openai: { store: "false" } },
+})

packages/ai/test/provider-options/cloudflare.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { CloudflareWorkersAI } from "../../src/providers"
+
+const model = CloudflareWorkersAI.configure({ accountId: "account", apiKey: "test" }).model("model")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { promptCacheKey: "cache" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Cloudflare's OpenAI-compatible prompt cache key must be a string.
+  providerOptions: { openai: { promptCacheKey: 1 } },
+})

packages/ai/test/provider-options/github-copilot.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { GitHubCopilot } from "../../src/providers"
+
+const model = GitHubCopilot.configure({ baseURL: "https://example.com" }).model("gpt-5")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { reasoningSummary: "auto" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Copilot reasoning summaries use the OpenAI union.
+  providerOptions: { openai: { reasoningSummary: "full" } },
+})

packages/ai/test/provider-options/google-vertex-chat.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { GoogleVertexChat } from "../../src/providers"
+
+const model = GoogleVertexChat.configure({ accessToken: "test", project: "project" }).model("gemini")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { serviceTier: "priority" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Vertex OpenAI-compatible service tiers use the OpenAI union.
+  providerOptions: { openai: { serviceTier: "premium" } },
+})

packages/ai/test/provider-options/google-vertex-messages.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { GoogleVertexMessages } from "../../src/providers"
+
+const model = GoogleVertexMessages.configure({ accessToken: "test", project: "project" }).model("claude")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { effort: "medium" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Vertex Anthropic effort must be a string.
+  providerOptions: { anthropic: { effort: false } },
+})

packages/ai/test/provider-options/google-vertex-responses.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { GoogleVertexResponses } from "../../src/providers"
+
+const model = GoogleVertexResponses.configure({ accessToken: "test", project: "project" }).model("gemini")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openresponses: { textVerbosity: "high" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Vertex Responses verbosity uses the Open Responses union.
+  providerOptions: { openresponses: { textVerbosity: "verbose" } },
+})

packages/ai/test/provider-options/google-vertex.types.ts

@@ -0,0 +1,17 @@
+import { LLM } from "../../src"
+import { GoogleVertex } from "../../src/providers"
+
+const model = GoogleVertex.provider.configure({ apiKey: "test" }).model("gemini-2.5-pro")
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  providerOptions: { gemini: { thinkingConfig: { includeThoughts: true } } },
+})
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Vertex Gemini includeThoughts must be boolean.
+  providerOptions: { gemini: { thinkingConfig: { includeThoughts: "yes" } } },
+})

packages/ai/test/provider-options/google.types.ts

@@ -0,0 +1,17 @@
+import { LLM } from "../../src"
+import { Google } from "../../src/providers"
+
+const model = Google.provider.model("gemini-2.5-pro")
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1024 } } },
+})
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Gemini thinking budgets must be numeric.
+  providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "large" } } },
+})

packages/ai/test/provider-options/openai-compatible-responses.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { OpenAICompatibleResponses } from "../../src/providers"
+
+const model = OpenAICompatibleResponses.configure({ baseURL: "https://example.com" }).model("model")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openresponses: { reasoningSummary: "detailed" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error Open Responses reasoning summaries use a fixed union.
+  providerOptions: { openresponses: { reasoningSummary: "full" } },
+})

packages/ai/test/provider-options/openai-compatible.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { OpenAICompatible } from "../../src/providers"
+
+const model = OpenAICompatible.deepseek.model("deepseek-chat")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { store: false } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error OpenAI-compatible store must be boolean.
+  providerOptions: { openai: { store: "false" } },
+})

packages/ai/test/provider-options/openai.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { OpenAI } from "../../src/providers"
+
+const model = OpenAI.responses("gpt-5")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { reasoningEffort: "high" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error OpenAI reasoning effort must be a string.
+  providerOptions: { openai: { reasoningEffort: 1 } },
+})

packages/ai/test/provider-options/openrouter.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { OpenRouter } from "../../src/providers"
+
+const model = OpenRouter.provider.model("anthropic/claude-sonnet-4.5")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openrouter: { usage: true } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error OpenRouter usage must be boolean or an option record.
+  providerOptions: { openrouter: { usage: "yes" } },
+})

packages/ai/test/provider-options/xai.types.ts

@@ -0,0 +1,13 @@
+import { LLM } from "../../src"
+import { XAI } from "../../src/providers"
+
+const model = XAI.provider.model("grok-4")
+
+LLM.request({ model, prompt: "Hello", providerOptions: { openai: { reasoningEffort: "high" } } })
+
+LLM.request({
+  model,
+  prompt: "Hello",
+  // @ts-expect-error xAI's OpenAI-compatible reasoning effort must be a string.
+  providerOptions: { openai: { reasoningEffort: true } },
+})

packages/ai/test/provider-package.test.ts

@@ -21,6 +21,8 @@ describe("provider package entrypoints", () => {
       import("@opencode-ai/ai/providers/google-vertex/chat"),
       import("@opencode-ai/ai/providers/google-vertex/responses"),
       import("@opencode-ai/ai/providers/google-vertex/messages"),
+      import("@opencode-ai/ai/providers/openrouter"),
+      import("@opencode-ai/ai/providers/xai"),
     ])
 
     for (const module of modules) expect(module.model).toBeFunction()
@@ -29,6 +31,35 @@ describe("provider package entrypoints", () => {
     expect(modules[12].model).toBe(modules[13].model)
   })
 
+  test("maps OpenRouter and xAI package settings onto executable models", async () => {
+    const OpenRouter = await import("@opencode-ai/ai/providers/openrouter")
+    const XAI = await import("@opencode-ai/ai/providers/xai")
+    const settings = {
+      apiKey: "fixture",
+      baseURL: "https://provider.example.test/v1",
+      headers: { "x-application": "opencode" },
+      body: { service_tier: "priority" },
+      limits: { context: 200_000, output: 64_000 },
+    }
+    const openrouter = OpenRouter.model("anthropic/claude-sonnet-4", {
+      ...settings,
+      providerOptions: { openrouter: { usage: true } },
+    })
+    const xai = XAI.model("grok-4", {
+      ...settings,
+      providerOptions: { openai: { reasoningEffort: "high" } },
+    })
+
+    for (const selected of [openrouter, xai]) {
+      expect(selected.route.endpoint.baseURL).toBe(settings.baseURL)
+      expect(selected.route.defaults.headers).toEqual(settings.headers)
+      expect(selected.route.defaults.http?.body).toEqual(settings.body)
+      expect(selected.route.defaults.limits).toEqual(settings.limits)
+    }
+    expect(openrouter.route.defaults.providerOptions).toEqual({ openrouter: { usage: true } })
+    expect(xai.route.defaults.providerOptions).toEqual({ openai: { reasoningEffort: "high", store: false } })
+  })
+
   test("maps package settings onto the executable model", () => {
     const selected = model("gpt-5", {
       apiKey: "fixture",

packages/ai/test/provider/anthropic-messages.test.ts

@@ -3,6 +3,7 @@ import { Effect } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { CacheHint, LLM, LLMError, LLMRequest, Message, ToolCallPart, ToolDefinition, Usage } from "../../src"
 import { Auth, LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import * as AnthropicMessages from "../../src/protocols/anthropic-messages"
 import { continuationRequest, nativeAnthropicMessagesContinuation } from "../continuation-scenarios"
 import { it } from "../lib/effect"
@@ -44,7 +45,7 @@ const expectToolResult = (body: AnthropicMessages.AnthropicMessagesBody): Anthro
 describe("Anthropic Messages route", () => {
   it.effect("prepares Anthropic Messages target", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(request)
+      const prepared = yield* compileRequest(request)
 
       expect(prepared.body).toEqual({
         model: "claude-sonnet-4-5",
@@ -59,7 +60,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("lowers adaptive thinking settings with effort", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: {
             anthropic: { thinking: { type: "adaptive", display: "summarized" }, effort: "low" },
@@ -76,17 +77,17 @@ describe("Anthropic Messages route", () => {
 
   it.effect("normalizes enabled and disabled thinking settings", () =>
     Effect.gen(function* () {
-      const enabled = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const enabled = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: 1_024 } } },
         }),
       )
-      const legacy = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const legacy = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: { anthropic: { thinking: { type: "enabled", budget_tokens: 2_048 } } },
         }),
       )
-      const disabled = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const disabled = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: { anthropic: { thinking: { type: "disabled" } } },
         }),
@@ -100,7 +101,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("rejects enabled thinking without a budget", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: { anthropic: { thinking: { type: "enabled" } } },
         }),
@@ -112,7 +113,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("lowers chronological system updates natively for Claude Opus 4.8 with cache hints", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: opus48,
           messages: [
@@ -137,7 +138,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("lowers chronological system updates to wrapped user text for unsupported Anthropic models", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -164,7 +165,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("rejects non-text chronological system update content before send", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model: opus48,
           messages: [
@@ -181,7 +182,7 @@ describe("Anthropic Messages route", () => {
   it.effect("falls back for unsupported native chronological system update placement", () =>
     Effect.gen(function* () {
       expect(
-        (yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+        (yield* compileRequest(
           LLM.request({
             model: opus48,
             messages: [Message.assistant("Plain."), Message.system("After plain assistant.")],
@@ -196,12 +197,11 @@ describe("Anthropic Messages route", () => {
         },
       ])
       expect(
-        (yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
-          LLM.request({ model: opus48, messages: [Message.system("First.")], cache: "none" }),
-        )).body.messages,
+        (yield* compileRequest(LLM.request({ model: opus48, messages: [Message.system("First.")], cache: "none" })))
+          .body.messages,
       ).toEqual([{ role: "user", content: [{ type: "text", text: "<system-update>\nFirst.\n</system-update>" }] }])
       expect(
-        (yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+        (yield* compileRequest(
           LLM.request({
             model: opus48,
             messages: [Message.user("Before."), Message.system("One."), Message.system("Two.")],
@@ -223,7 +223,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("rejects a system update between a local tool call and its result", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model: opus48,
           messages: [
@@ -242,7 +242,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("prepares tool call and tool result messages", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result",
           model,
@@ -273,7 +273,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("keeps tools and sends tool_choice none", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_choice_none",
           model,
@@ -303,7 +303,7 @@ describe("Anthropic Messages route", () => {
   // not JSON-stringified into `tool_result.content`.
   it.effect("lowers media tool-result content as structured blocks", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_image",
           model,
@@ -335,7 +335,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("lowers single-image tool-result content as a structured image block", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_image_only",
           model,
@@ -360,7 +360,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("rejects unsupported media in tool-result content with a clear error", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_unsupported_media",
           model,
@@ -384,7 +384,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("prepares the composed native continuation request", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         continuationRequest({
           id: "req_native_continuation_anthropic",
           model,
@@ -428,7 +428,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("lowers preserved Anthropic reasoning signature metadata", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -447,7 +447,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("round-trips redacted thinking as redacted_thinking blocks", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -628,9 +628,7 @@ describe("Anthropic Messages route", () => {
         { type: "reasoning", text: "", providerMetadata: { anthropic: { signature: "sig_1" } } },
       ])
 
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
-        LLM.request({ model, messages: [response.message], cache: "none" }),
-      )
+      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message], cache: "none" }))
       expect(prepared.body.messages).toEqual([
         { role: "assistant", content: [{ type: "thinking", thinking: "", signature: "sig_1" }] },
       ])
@@ -773,7 +771,7 @@ describe("Anthropic Messages route", () => {
           ),
         ),
       )
-      const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -1133,7 +1131,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("round-trips provider-executed assistant content into server tool blocks", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_round_trip",
           model,
@@ -1184,7 +1182,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("rejects round-trip for unknown server tool names", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_unknown_server_tool",
           model,
@@ -1261,7 +1259,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("maps ttlSeconds >= 3600 to cache_control ttl: '1h'", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           system: { type: "text", text: "system", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3600 }) },
@@ -1277,7 +1275,7 @@ describe("Anthropic Messages route", () => {
 
   it.effect("emits cache_control on tool definitions and tool-result blocks", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           tools: [
@@ -1318,7 +1316,7 @@ describe("Anthropic Messages route", () => {
   it.effect("drops cache_control breakpoints past the 4-per-request cap", () =>
     Effect.gen(function* () {
       const hint = new CacheHint({ type: "ephemeral" })
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           system: [
@@ -1344,7 +1342,7 @@ describe("Anthropic Messages route", () => {
   it.effect("spends breakpoint budget on tools before system before messages", () =>
     Effect.gen(function* () {
       const hint = new CacheHint({ type: "ephemeral" })
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           tools: [

packages/ai/test/provider/bedrock-converse.test.ts

@@ -13,6 +13,7 @@ import {
   ToolDefinition,
 } from "../../src"
 import { LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import { AmazonBedrock } from "../../src/providers"
 import * as BedrockConverse from "../../src/protocols/bedrock-converse"
 import { it } from "../lib/effect"
@@ -101,7 +102,7 @@ const baseRequest = LLM.request({
 describe("Bedrock Converse route", () => {
   it.effect("prepares Converse target with system, inference config, and messages", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(baseRequest)
+      const prepared = yield* compileRequest(baseRequest)
 
       expect(prepared.body).toEqual({
         modelId: "anthropic.claude-3-5-sonnet-20240620-v1:0",
@@ -114,7 +115,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("passes topK through additionalModelRequestFields as top_k", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+      const prepared = yield* compileRequest(
         LLMRequest.update(baseRequest, {
           generation: GenerationOptions.make({ maxTokens: 64, temperature: 0, topK: 40 }),
         }),
@@ -129,14 +130,14 @@ describe("Bedrock Converse route", () => {
 
   it.effect("omits additionalModelRequestFields when topK is unset", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(baseRequest)
+      const prepared = yield* compileRequest(baseRequest)
       expect(prepared.body.additionalModelRequestFields).toBeUndefined()
     }),
   )
 
   it.effect("lowers chronological system updates to wrapped user text in order", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [Message.user("Before."), Message.system("Update."), Message.assistant("After.")],
@@ -153,7 +154,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("prepares tool config with toolSpec and toolChoice", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(baseRequest, {
           tools: [
             ToolDefinition.make({
@@ -187,7 +188,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("keeps tools and omits the unsupported choice when tool choice is none", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(baseRequest, {
           tools: [
             ToolDefinition.make({
@@ -217,7 +218,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("lowers assistant tool-call + tool-result message history", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_history",
           model,
@@ -256,7 +257,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("lowers image content in tool-result messages", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_image",
           model,
@@ -491,7 +492,7 @@ describe("Bedrock Converse route", () => {
         providerMetadata: { bedrock: { signature: "sig_1" } },
       })
 
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -546,9 +547,7 @@ describe("Bedrock Converse route", () => {
         },
       ])
 
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
-        LLM.request({ model, messages: [response.message], cache: "none" }),
-      )
+      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message], cache: "none" }))
       expect(prepared.body.messages).toEqual([
         {
           role: "assistant",
@@ -639,7 +638,7 @@ describe("Bedrock Converse route", () => {
         text: "",
         providerMetadata: { bedrock: { redactedData } },
       })
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -754,7 +753,7 @@ describe("Bedrock Converse route", () => {
           secretAccessKey: "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
         },
       }).model("anthropic.claude-3-5-sonnet-20240620-v1:0")
-      const prepared = yield* LLMClient.prepare(LLMRequest.update(baseRequest, { model: signed }))
+      const prepared = yield* compileRequest(LLMRequest.update(baseRequest, { model: signed }))
 
       expect(prepared.route).toBe("bedrock-converse")
       expect(prepared.model).toBe(signed)
@@ -764,7 +763,7 @@ describe("Bedrock Converse route", () => {
   it.effect("emits cachePoint markers after system, user-text, and assistant-text with cache hints", () =>
     Effect.gen(function* () {
       const cache = new CacheHint({ type: "ephemeral" })
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_cache",
           model,
@@ -796,7 +795,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("does not emit cachePoint when no cache hint is set", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(baseRequest)
+      const prepared = yield* compileRequest(baseRequest)
       expect(prepared.body).toMatchObject({
         system: [{ text: "You are concise." }],
         messages: [{ role: "user", content: [{ text: "Say hello." }] }],
@@ -806,7 +805,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("lowers image media into Bedrock image blocks", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_image",
           model,
@@ -843,7 +842,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("base64-encodes Uint8Array image bytes", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_image_bytes",
           model,
@@ -865,7 +864,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("lowers document media into Bedrock document blocks with format and name", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_doc",
           model,
@@ -897,7 +896,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("requires names for document media", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model,
           messages: [Message.user({ type: "media", mediaType: "application/pdf", data: "UERGREFUQQ==" })],
@@ -910,7 +909,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("passes named document-only messages through for provider validation", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           cache: "none",
@@ -936,7 +935,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("lowers document media in tool results", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           cache: "none",
@@ -988,7 +987,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("rejects unsupported image media types", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_bad_image",
           model,
@@ -1002,7 +1001,7 @@ describe("Bedrock Converse route", () => {
 
   it.effect("rejects unsupported document media types", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_bad_doc",
           model,
@@ -1017,7 +1016,7 @@ describe("Bedrock Converse route", () => {
   it.effect("maps ttlSeconds >= 3600 to cachePoint ttl: '1h'", () =>
     Effect.gen(function* () {
       const cache = new CacheHint({ type: "ephemeral", ttlSeconds: 3600 })
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           system: [{ type: "text", text: "system", cache }],
@@ -1034,7 +1033,7 @@ describe("Bedrock Converse route", () => {
   it.effect("appends cachePoint after marked tool definitions and tool-result blocks", () =>
     Effect.gen(function* () {
       const cache = new CacheHint({ type: "ephemeral" })
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           tools: [{ name: "lookup", description: "lookup", inputSchema: { type: "object", properties: {} }, cache }],
@@ -1066,7 +1065,7 @@ describe("Bedrock Converse route", () => {
   it.effect("drops cachePoint markers past the 4-per-request cap", () =>
     Effect.gen(function* () {
       const cache = new CacheHint({ type: "ephemeral" })
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           system: [

packages/ai/test/provider/cloudflare.test.ts

@@ -3,7 +3,7 @@ import { ConfigProvider, Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMEvent } from "../../src"
 import { CloudflareAIGateway, CloudflareWorkersAI } from "../../src/providers/cloudflare"
-import { LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import { it } from "../lib/effect"
 import { dynamicResponse } from "../lib/http"
 import { sseEvents } from "../lib/sse"
@@ -34,7 +34,7 @@ describe("Cloudflare", () => {
       })
       expect(model.route.endpoint.baseURL).toBe("https://gateway.ai.cloudflare.com/v1/test-account/test-gateway/compat")
 
-      const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
 
       expect(prepared.route).toBe("cloudflare-ai-gateway")
       expect(prepared.body).toMatchObject({
@@ -129,7 +129,7 @@ describe("Cloudflare", () => {
         openai: { reasoningField: "reasoning", reasoningDetails: merged },
       })
 
-      const replay = yield* LLMClient.prepare(LLM.request({ model, messages: [response.message] }))
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([
         { role: "assistant", content: "Hello", reasoning: "Thinking", reasoning_details: merged },
       ])
@@ -180,7 +180,7 @@ describe("Cloudflare", () => {
 
   it.effect("allows a fully configured baseURL override", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: CloudflareAIGateway.configure({
             baseURL: "https://gateway.proxy.test/v1/custom/compat",
@@ -208,7 +208,7 @@ describe("Cloudflare", () => {
       })
       expect(model.route.endpoint.baseURL).toBe("https://api.cloudflare.com/client/v4/accounts/test-account/ai/v1")
 
-      const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
 
       expect(prepared.route).toBe("cloudflare-workers-ai")
       expect(prepared.body).toMatchObject({

packages/ai/test/provider/gemini.test.ts

@@ -2,6 +2,7 @@ import { describe, expect } from "bun:test"
 import { Effect } from "effect"
 import { LLM, LLMError, LLMRequest, Message, ToolCallPart, ToolDefinition, Usage } from "../../src"
 import { Auth, LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import * as Gemini from "../../src/protocols/gemini"
 import { ProviderShared } from "../../src/protocols/shared"
 import { it } from "../lib/effect"
@@ -26,7 +27,7 @@ const request = LLM.request({
 describe("Gemini route", () => {
   it.effect("prepares Gemini target", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(request)
+      const prepared = yield* compileRequest(request)
 
       expect(prepared.body).toEqual({
         contents: [{ role: "user", parts: [{ text: "Say hello." }] }],
@@ -38,12 +39,12 @@ describe("Gemini route", () => {
 
   it.effect("normalizes Gemini thinking options", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 0, includeThoughts: false } } },
         }),
       )
-      const filtered = yield* LLMClient.prepare<Gemini.GeminiBody>(
+      const filtered = yield* compileRequest(
         LLMRequest.update(request, {
           providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "invalid", includeThoughts: false } } },
         }),
@@ -59,7 +60,7 @@ describe("Gemini route", () => {
 
   it.effect("lowers chronological system updates to wrapped user text in order", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [Message.user("Before."), Message.system("Update."), Message.assistant("After.")],
@@ -75,7 +76,7 @@ describe("Gemini route", () => {
 
   it.effect("prepares multimodal user input and tool history", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result",
           model,
@@ -143,7 +144,7 @@ describe("Gemini route", () => {
 
   it.effect("continues media tool results as inline model input without base64 text", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -188,7 +189,7 @@ describe("Gemini route", () => {
 
   it.effect("strips matching data URLs to raw base64 inlineData", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -229,7 +230,7 @@ describe("Gemini route", () => {
   ] as const)
     it.effect(`rejects ${name}`, () =>
       Effect.gen(function* () {
-        const error = yield* LLMClient.prepare(
+        const error = yield* compileRequest(
           LLM.request({ model, messages: [Message.user({ type: "media", ...media })] }),
         ).pipe(Effect.flip)
         expect(error.message).toMatch(/does not support|does not match|valid base64/)
@@ -238,7 +239,7 @@ describe("Gemini route", () => {
 
   it.effect("rejects oversized image input", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -256,7 +257,7 @@ describe("Gemini route", () => {
 
   it.effect("keeps tools and sends function calling mode NONE", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_choice_none",
           model,
@@ -276,7 +277,7 @@ describe("Gemini route", () => {
 
   it.effect("sanitizes integer enums, dangling required, untyped arrays, and scalar object keys", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_schema_patch",
           model,
@@ -457,7 +458,7 @@ describe("Gemini route", () => {
         response.events.findIndex((event) => event.type === "tool-call"),
       )
 
-      const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -691,7 +692,7 @@ describe("Gemini route", () => {
 
   it.effect("rejects unsupported assistant media content", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_media",
           model,

packages/ai/test/provider/google-vertex.test.ts

@@ -4,6 +4,7 @@ import { HttpClientRequest } from "effect/unstable/http"
 import { LLM } from "../../src"
 import { GoogleVertex, GoogleVertexChat, GoogleVertexMessages, GoogleVertexResponses } from "../../src/providers"
 import { LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import { it } from "../lib/effect"
 import { dynamicResponse } from "../lib/http"
 import { deltaChunk, finishChunk } from "../lib/openai-chunks"
@@ -182,7 +183,7 @@ describe("Google Vertex providers", () => {
 
   it.effect("protects the Vertex Messages API version from body overlays", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model: GoogleVertexMessages.configure({
             accessToken: "vertex-token",

packages/ai/test/provider/openai-chat-reasoning.recorded.test.ts

@@ -5,6 +5,7 @@ import { OpenAIChat } from "../../src/protocols/openai-chat"
 import * as OpenAICompatible from "../../src/providers/openai-compatible"
 import * as OpenRouter from "../../src/providers/openrouter"
 import { LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import { recordedTests } from "../recorded-test"
 import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios"
 
@@ -84,9 +85,7 @@ for (const item of cases) {
             ),
           ).toBe(true)
 
-          const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-            LLM.request({ model: item.model, messages: [response.message] }),
-          )
+          const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
           expect(replay.body.messages).toMatchObject([
             { role: "assistant", content: response.text, reasoning: response.reasoning },
           ])

packages/ai/test/provider/openai-chat.test.ts

@@ -18,6 +18,7 @@ import * as OpenAI from "../../src/providers/openai"
 import * as OpenAIChat from "../../src/protocols/openai-chat"
 import { ProviderShared } from "../../src/protocols/shared"
 import { Auth, LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import { it } from "../lib/effect"
 import { dynamicResponse, fixedResponse, truncatedStream } from "../lib/http"
 import { deltaChunk, usageChunk } from "../lib/openai-chunks"
@@ -42,11 +43,7 @@ const request = LLM.request({
 describe("OpenAI Chat route", () => {
   it.effect("prepares OpenAI Chat payload", () =>
     Effect.gen(function* () {
-      // Pass the OpenAIChat payload type so `prepared.body` is statically
-      // typed to the route's native shape — the assertions below read field
-      // names without `unknown` casts.
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(request)
-      const _typed: { readonly model: string; readonly stream: true } = prepared.body
+      const prepared = yield* compileRequest(request)
 
       expect(prepared.body).toEqual({
         model: "gpt-4o-mini",
@@ -64,7 +61,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("lowers chronological system updates to escaped user wrappers in order", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -87,7 +84,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("replays canonical reasoning as OpenAI-compatible reasoning_content", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -105,7 +102,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("writes reasoning to a configured custom field on every assistant message", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: Model.update(model, { compatibility: { reasoningField: "vendor_reasoning" } }),
           messages: [
@@ -131,7 +128,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("rejects reasoning fields that conflict with assistant message fields", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model: Model.update(model, { compatibility: { reasoningField: "content" } }),
           messages: [Message.assistant([{ type: "reasoning", text: "thinking" }])],
@@ -144,7 +141,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("maps OpenAI provider options to Chat options", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).chat("gpt-4o-mini"),
           prompt: "think",
@@ -159,7 +156,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("passes through custom OpenAI-compatible reasoning effort strings", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           prompt: "think",
@@ -253,7 +250,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("prepares assistant tool-call and tool-result messages", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result",
           model,
@@ -291,7 +288,7 @@ describe("OpenAI Chat route", () => {
   it.effect("preserves structured tool errors for the model", () =>
     Effect.gen(function* () {
       const error = { error: { type: "unknown", message: "Tool execution interrupted" } }
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -311,7 +308,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("continues image tool results as vision input without base64 text", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -355,7 +352,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("orders parallel tool responses before one aggregated vision message", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -405,7 +402,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("aggregates consecutive tool images with a following system update", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -446,7 +443,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("appends system updates without replacing multipart user content", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -474,7 +471,7 @@ describe("OpenAI Chat route", () => {
   ] as const)
     it.effect(`rejects ${name}`, () =>
       Effect.gen(function* () {
-        const error = yield* LLMClient.prepare(
+        const error = yield* compileRequest(
           LLM.request({ model, messages: [Message.user({ type: "media", ...media })] }),
         ).pipe(Effect.flip)
         expect(error.message).toMatch(/does not support|does not match|valid base64/)
@@ -483,7 +480,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("rejects oversized image input", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -501,7 +498,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("prepares raw and data URL image media as vision input", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_media",
           model,
@@ -528,7 +525,7 @@ describe("OpenAI Chat route", () => {
 
   it.effect("lowers reasoning-only assistant history", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_reasoning",
           model,
@@ -619,9 +616,7 @@ describe("OpenAI Chat route", () => {
           openai: { reasoningField: field },
         })
 
-        const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-          LLM.request({ model, messages: [response.message] }),
-        )
+        const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
         expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", [field]: "thinking" }])
       }
     }),
@@ -647,9 +642,7 @@ describe("OpenAI Chat route", () => {
         openai: { reasoningField: "vendor_reasoning" },
       })
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model: custom, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model: custom, messages: [response.message] }))
       expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", vendor_reasoning: "thinking" }])
     }),
   )
@@ -692,9 +685,7 @@ describe("OpenAI Chat route", () => {
         openai: { reasoningField: "reasoning", reasoningDetails: details },
       })
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([
         {
           role: "assistant",
@@ -737,9 +728,7 @@ describe("OpenAI Chat route", () => {
         openai: { reasoningDetails: details },
       })
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", reasoning_details: details }])
     }),
   )
@@ -764,9 +753,7 @@ describe("OpenAI Chat route", () => {
         openai: { reasoningField: "reasoning", reasoningDetails: details },
       })
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([
         { role: "assistant", content: "Hello", reasoning: "thinking", reasoning_details: details },
       ])
@@ -839,9 +826,7 @@ describe("OpenAI Chat route", () => {
         openai: { reasoningDetails: [] },
       })
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", reasoning_details: [] }])
     }),
   )
@@ -889,9 +874,7 @@ describe("OpenAI Chat route", () => {
         response.events.findIndex(LLMEvent.is.textStart),
       )
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([
         { role: "assistant", content: "Hello", reasoning: "thinking", reasoning_details: merged },
       ])
@@ -918,9 +901,7 @@ describe("OpenAI Chat route", () => {
       expect(response.events.filter(LLMEvent.is.reasoningStart)).toHaveLength(1)
       expect(response.events.filter(LLMEvent.is.reasoningEnd)).toHaveLength(1)
 
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(replay.body.messages).toEqual([{ role: "assistant", content: null, reasoning_details: details }])
     }),
   )
@@ -950,7 +931,7 @@ describe("OpenAI Chat route", () => {
     Effect.gen(function* () {
       const first = { type: "reasoning.text", text: "first", signature: "signed-0", index: 0 }
       const second = { type: "reasoning.text", text: "second", signature: "signed-1", index: 1 }
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const replay = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -979,7 +960,7 @@ describe("OpenAI Chat route", () => {
   it.effect("retains scalar replay for mixed structured reasoning parts", () =>
     Effect.gen(function* () {
       const detail = { type: "reasoning.encrypted", data: "opaque", index: 0 }
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const replay = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -1004,7 +985,7 @@ describe("OpenAI Chat route", () => {
   it.effect("replays native scalar reasoning alongside native details", () =>
     Effect.gen(function* () {
       const details = [{ type: "reasoning.encrypted", data: "opaque", index: 0 }]
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const replay = yield* compileRequest(
         LLM.request({
           model,
           messages: [

packages/ai/test/provider/openai-compatible-chat.test.ts

@@ -3,6 +3,7 @@ import { Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMRequest, Message, ToolCallPart, ToolChoice, ToolDefinition } from "../../src"
 import { Auth, LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import * as OpenAICompatible from "../../src/providers/openai-compatible"
 import * as OpenAICompatibleChat from "../../src/protocols/openai-compatible-chat"
 import { it } from "../lib/effect"
@@ -52,7 +53,7 @@ const providerFamilies = [
 describe("OpenAI-compatible Chat route", () => {
   it.effect("prepares generic Chat target", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, {
           tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
           toolChoice: ToolChoice.make({ type: "required" }),
@@ -127,7 +128,7 @@ describe("OpenAI-compatible Chat route", () => {
 
   it.effect("matches AI SDK compatible basic request body fixture", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(request)
+      const prepared = yield* compileRequest(request)
 
       expect(prepared.body).toEqual({
         model: "deepseek-chat",
@@ -145,7 +146,7 @@ describe("OpenAI-compatible Chat route", () => {
 
   it.effect("matches AI SDK compatible tool request body fixture", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_parity",
           model,

packages/ai/test/provider/openai-compatible-responses.test.ts

@@ -7,6 +7,7 @@ import { OpenResponses } from "../../src/protocols/open-responses"
 import { OpenAICompatibleResponses } from "../../src/protocols/openai-compatible-responses"
 import { OpenAIResponses } from "../../src/protocols/openai-responses"
 import { LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import { it } from "../lib/effect"
 import { fixedResponse } from "../lib/http"
 import { sseEvents } from "../lib/sse"
@@ -23,7 +24,7 @@ describe("Open Responses-compatible route", () => {
         baseURL: "https://responses.example.test/v1",
         provider: "example",
       }).model("example-model")
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           system: "You are concise.",
@@ -61,7 +62,7 @@ describe("Open Responses-compatible route", () => {
         apiKey: "test-key",
         baseURL: "https://responses.example.test/v1",
       }).model("example-model")
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({ model, prompt: "Draw.", tools: [OpenAI.imageGeneration()] }),
       ).pipe(Effect.flip)
 
@@ -76,7 +77,7 @@ describe("Open Responses-compatible route", () => {
         apiKey: "test-key",
         baseURL: "https://responses.example.test/v1",
       }).model("example-model")
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -102,7 +103,7 @@ describe("Open Responses-compatible route", () => {
         baseURL: "https://responses.example.test/v1",
         providerOptions: { openresponses: { reasoningEffort: "low", store: true } },
       }).model("example-model")
-      const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Think." }))
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Think." }))
 
       expect(prepared.body).toMatchObject({
         reasoning: { effort: "low" },

packages/ai/test/provider/openai-responses.test.ts

@@ -14,6 +14,7 @@ import {
   Usage,
 } from "../../src"
 import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import * as Azure from "../../src/providers/azure"
 import * as OpenAI from "../../src/providers/openai"
 import * as XAI from "../../src/providers/xai"
@@ -56,7 +57,7 @@ const expectToolOutput = (body: OpenAIResponses.OpenAIResponsesBody): OpenAITool
 describe("OpenAI Responses route", () => {
   it.effect("prepares OpenAI Responses target", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(request)
+      const prepared = yield* compileRequest(request)
 
       expect(prepared.body).toEqual({
         model: "gpt-4.1-mini",
@@ -74,7 +75,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("lowers the hosted OpenAI image generation tool", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           prompt: "Show me a rooftop garden.",
@@ -92,7 +93,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("rejects invalid hosted image generation options locally", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           model,
           prompt: "Show me a rooftop garden.",
@@ -109,7 +110,7 @@ describe("OpenAI Responses route", () => {
     Effect.gen(function* () {
       const input = LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "priority" } } })
       expect(input.providerOptions).toEqual({ openai: { serviceTier: "priority" } })
-      const prepared = yield* LLMClient.prepare(input)
+      const prepared = yield* compileRequest(input)
 
       expect(prepared.body).toMatchObject({ service_tier: "priority" })
       expect(prepared.body).not.toHaveProperty("serviceTier")
@@ -118,7 +119,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("passes through custom OpenAI reasoning effort strings", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, { providerOptions: { openai: { reasoningEffort: "experimental" } } }),
       )
 
@@ -128,7 +129,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("omits unsupported semantic service tiers", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "unsupported" } } }),
       )
 
@@ -138,7 +139,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("flattens top-level object unions in function schemas", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, {
           tools: [
             ToolDefinition.make({
@@ -191,7 +192,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("lowers chronological system updates to escaped user wrappers in order", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -217,7 +218,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("prepares OpenAI Responses WebSocket target", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLMRequest.update(request, {
           model: OpenAIResponses.webSocketRoute
             .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
@@ -395,7 +396,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("prepares function call and function output input items", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result",
           model,
@@ -432,7 +433,7 @@ describe("OpenAI Responses route", () => {
         content: [],
         structured: {},
       }
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -453,7 +454,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("keeps primitive tool errors as plain text", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -469,7 +470,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("keeps non-JSON tool errors as plain text", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -487,7 +488,7 @@ describe("OpenAI Responses route", () => {
   // image data is not JSON-stringified into `function_call_output.output`.
   it.effect("lowers image tool-result content as structured input_image items", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_image",
           model,
@@ -516,7 +517,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("lowers single-image tool-result content as structured input_image array", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_image_only",
           model,
@@ -540,7 +541,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("lowers PDF tool-result content as structured input_file array", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_pdf",
           model,
@@ -575,7 +576,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("uses xAI inline file encoding for PDF tool results", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: xaiModel,
           messages: [
@@ -610,7 +611,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("rejects unsupported media in tool-result content with a clear error", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_tool_result_unsupported_media",
           model,
@@ -633,7 +634,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("prepares the composed native continuation request", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         continuationRequest({
           id: "req_native_continuation_openai",
           model,
@@ -675,7 +676,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("maps OpenAI provider options to Responses options", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).model("gpt-5.2"),
           prompt: "think",
@@ -700,7 +701,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("accepts the full ResponseIncludable union", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           prompt: "hi",
@@ -722,7 +723,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("filters unknown includable values out of the include array", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           prompt: "hi",
@@ -739,7 +740,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("treats an explicit empty include as no include at all", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({ model, prompt: "hi", providerOptions: { openai: { include: [] } } }),
       )
 
@@ -749,7 +750,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("treats an all-invalid include as no include at all", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({ model, prompt: "hi", providerOptions: { openai: { include: ["bogus.thing"] } } }),
       )
 
@@ -759,7 +760,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("omits include when no include is set", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({ model, prompt: "hi", providerOptions: { openai: { store: false } } }),
       )
 
@@ -773,7 +774,7 @@ describe("OpenAI Responses route", () => {
       // reasoningSummary: "auto" by default. Without `include`, a follow-up
       // turn cannot replay reasoning state, so the facade also opts into
       // `reasoning.encrypted_content` automatically.
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).responses("gpt-5.2"),
           prompt: "hi",
@@ -788,7 +789,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("lets callers opt out of the GPT-5 default include", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).responses("gpt-5.2"),
           prompt: "hi",
@@ -802,7 +803,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("request OpenAI provider options override route defaults", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenAI.configure({
             baseURL: "https://api.openai.test/v1/",
@@ -934,9 +935,7 @@ describe("OpenAI Responses route", () => {
         },
       ])
 
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({ model, messages: [response.message] }),
-      )
+      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
       expect(prepared.body.input).toEqual([
         {
           role: "assistant",
@@ -1270,7 +1269,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("preserves assistant content order around reasoning items", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_reasoning_order",
           model,
@@ -1308,7 +1307,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("references stored reasoning items by id", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -1330,7 +1329,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("references stored provider-executed hosted tool results by id", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -1367,7 +1366,7 @@ describe("OpenAI Responses route", () => {
   it.effect("continues stateless hosted image generation with the generated image", () =>
     Effect.gen(function* () {
       const imageTool = OpenAI.imageGeneration({ action: "edit" })
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           messages: [
@@ -1408,7 +1407,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("joins streamed summary blocks into one continuation reasoning item", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_multi_summary_continuation",
           model,
@@ -1445,7 +1444,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("skips non-persisted reasoning ids without encrypted state", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_reasoning_without_encrypted_state",
           model,
@@ -1762,7 +1761,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("lowers user image and PDF content", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           id: "req_media",
           model,
@@ -1793,7 +1792,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("uses xAI inline file encoding for user PDFs", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: xaiModel,
           messages: [
@@ -1825,7 +1824,7 @@ describe("OpenAI Responses route", () => {
 
   it.effect("rejects unsupported user media content", () =>
     Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
+      const error = yield* compileRequest(
         LLM.request({
           id: "req_media",
           model,

packages/ai/test/provider/openrouter.test.ts

@@ -2,6 +2,7 @@ import { describe, expect } from "bun:test"
 import { Effect } from "effect"
 import { LLM, Message } from "../../src"
 import { LLMClient } from "../../src/route"
+import { compileRequest } from "../../src/route/client"
 import * as OpenRouter from "../../src/providers/openrouter"
 import { it } from "../lib/effect"
 import { fixedResponse } from "../lib/http"
@@ -19,7 +20,7 @@ describe("OpenRouter", () => {
       })
       expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
 
-      const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
 
       expect(prepared.route).toBe("openrouter")
       expect(prepared.body).toMatchObject({
@@ -32,7 +33,7 @@ describe("OpenRouter", () => {
 
   it.effect("applies OpenRouter payload options from the model helper", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenRouter.configure({
             apiKey: "test-key",
@@ -100,7 +101,7 @@ describe("OpenRouter", () => {
         { type: "reasoning.text", signature: "signed", format: "anthropic-claude-v1", index: 0 },
         { type: "reasoning.encrypted", data: "opaque", format: "openai-responses-v1", index: 1 },
       ]
-      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           messages: [
@@ -133,7 +134,7 @@ describe("OpenRouter", () => {
         { type: "reasoning.encrypted", id: "state", data: "opaque" },
         { type: "reasoning.encrypted", id: "state", data: "opaque" },
       ]
-      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           messages: [
@@ -158,7 +159,7 @@ describe("OpenRouter", () => {
         { type: "reasoning.text", id: "first", index: 0, text: "A", opaque: "first" },
         { type: "reasoning.text", id: "second", index: 1, text: "B", opaque: "second" },
       ]
-      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           messages: [
@@ -179,7 +180,7 @@ describe("OpenRouter", () => {
 
   it.effect("omits scalar reasoning without continuation details", () =>
     Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],

packages/ai/test/tool-schema-projection.test.ts

@@ -3,7 +3,8 @@ import { Effect } from "effect"
 import { LLM } from "../src"
 import { OpenAIChat } from "../src/protocols"
 import { ToolSchemaProjection } from "../src/protocols/utils/tool-schema"
-import { Auth, LLMClient } from "../src/route"
+import { Auth } from "../src/route"
+import { compileRequest } from "../src/route/client"
 import { it } from "./lib/effect"
 
 describe("tool schema projections", () => {
@@ -79,7 +80,7 @@ describe("tool schema projections", () => {
       const model = OpenAIChat.route
         .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
         .model({ id: "kimi-k2", compatibility: { toolSchema: "moonshot" } })
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+      const prepared = yield* compileRequest(
         LLM.request({
           model,
           prompt: "Use the tool.",

packages/app/src/components/dialog-connect-provider.tsx

@@ -1,3 +1,4 @@
+import type { IntegrationMethod, IntegrationOauthConnectOutput } from "@opencode-ai/client/promise"
 import { Button } from "@opencode-ai/ui/button"
 import { useDialog } from "@opencode-ai/ui/context/dialog"
 import { Dialog } from "@opencode-ai/ui/dialog"
@@ -12,9 +13,21 @@ import { ButtonV2 } from "@opencode-ai/ui/v2/button-v2"
 import { DialogBody, DialogHeader, DialogTitle, DialogV2 } from "@opencode-ai/ui/v2/dialog-v2"
 import { TextInputV2 } from "@opencode-ai/ui/v2/text-input-v2"
 import { showToast } from "@/utils/toast"
-import { type Accessor, type Component, createMemo, createUniqueId, For, Match, onMount, Show, Switch } from "solid-js"
-import { createStore } from "solid-js/store"
-import { useQueryClient } from "@tanstack/solid-query"
+import {
+  type Accessor,
+  type Component,
+  createEffect,
+  createMemo,
+  createResource,
+  createUniqueId,
+  For,
+  Match,
+  onCleanup,
+  onMount,
+  Show,
+  Switch,
+} from "solid-js"
+import { createStore, produce } from "solid-js/store"
 import { useParams } from "@solidjs/router"
 import { Link } from "@/components/link"
 import { useServerSDK } from "@/context/server-sdk"
@@ -24,10 +37,10 @@ import { useSettings } from "@/context/settings"
 import { popularProviders, useProviders } from "@/hooks/use-providers"
 import { CustomProviderForm } from "./dialog-custom-provider"
 import { decode64 } from "@/utils/base64"
-import { pathKey } from "@/utils/path-key"
-import { createProviderConnectionController } from "./provider-connection-controller"
 
 const CUSTOM_ID = "_custom"
+type ConnectMethod = Extract<IntegrationMethod, { type: "key" | "oauth" }>
+
 export function useProviderConnectController(options: { onBack?: () => void } = {}) {
   const [store, setStore] = createStore({ selected: undefined as string | undefined })
   const reset = () => setStore("selected", undefined)
@@ -371,91 +384,118 @@ function ProviderConnection(props: {
   const dialog = useDialog()
   const serverSync = useServerSync()
   const serverSDK = useServerSDK()
-  const queryClient = useQueryClient()
   const params = useParams()
   const language = useLanguage()
   const settings = useSettings()
   const newLayout = settings.general.newLayoutDesigns
   const providers = useProviders(() => props.directory?.())
   const directory = () => props.directory?.() ?? decode64(params.dir)
+  const location = () => {
+    const value = directory()
+    return value ? { directory: value } : undefined
+  }
+
+  const alive = { value: true }
+  const timer = { current: undefined as ReturnType<typeof setTimeout> | undefined }
+
+  onCleanup(() => {
+    alive.value = false
+    if (timer.current === undefined) return
+    clearTimeout(timer.current)
+    timer.current = undefined
+  })
 
   const provider = createMemo(
     () => providers.all().get(props.provider) ?? serverSync().data.provider.all.get(props.provider)!,
   )
-  const controller = createProviderConnectionController({
-    provider: props.provider,
-    directory,
-    fallbackKeyLabel: () => language.t("provider.connect.method.apiKey"),
-    requestFailed: () => language.t("common.requestFailed"),
-    invalidCode: () => language.t("provider.connect.oauth.code.invalid"),
-    services: {
-      integration: {
-        load: (integrationID, value) =>
-          serverSDK()
-            .api.integration.get({
-              integrationID,
-              location: value ? { directory: value } : undefined,
-            })
-            .then((result) => result.data),
-      },
-      connection: {
-        key: (integrationID, value, key) =>
-          serverSDK().api.integration.connect.key({
-            integrationID,
-            location: value ? { directory: value } : undefined,
-            key,
-          }),
-        oauth: (integrationID, value, methodID, inputs) =>
-          serverSDK()
-            .api.integration.oauth.connect({
-              integrationID,
-              methodID,
-              inputs,
-              location: value ? { directory: value } : undefined,
-            })
-            .then((result) => result.data),
-        status: (integrationID, value, attemptID) =>
-          serverSDK()
-            .api.integration.oauth.status({
-              integrationID,
-              attemptID,
-              location: value ? { directory: value } : undefined,
-            })
-            .then((result) => result.data),
-        complete: (integrationID, value, attemptID, code) =>
-          serverSDK().api.integration.oauth.complete({
-            integrationID,
-            attemptID,
-            location: value ? { directory: value } : undefined,
-            code,
-          }),
-      },
-      provider: {
-        refresh: () =>
-          queryClient.refetchQueries(serverSync().queryOptions.providers(directory() ? pathKey(directory()!) : null)),
-      },
-      completion: {
-        finish: () => {
-          dialog.close()
-          showToast({
-            variant: "success",
-            icon: "circle-check",
-            title: language.t("provider.connect.toast.connected.title", { provider: provider().name }),
-            description: language.t("provider.connect.toast.connected.description", { provider: provider().name }),
-          })
-        },
-      },
+  const fallback = createMemo<ConnectMethod[]>(() => [
+    {
+      type: "key" as const,
+      label: language.t("provider.connect.method.apiKey"),
     },
+  ])
+  const [integration] = createResource(
+    () => ({ provider: props.provider, directory: directory() }),
+    (input) =>
+      serverSDK()
+        .api.integration.get({
+          integrationID: input.provider,
+          location: input.directory ? { directory: input.directory } : undefined,
+        })
+        .then((result) => result.data),
+  )
+  const loading = createMemo(() => integration.loading)
+  const methods = createMemo<ConnectMethod[]>(() => {
+    const values = integration.latest?.methods.filter(
+      (method): method is ConnectMethod => method.type === "key" || method.type === "oauth",
+    )
+    return values?.length ? values : fallback()
   })
-  const loading = controller.data.loading
-  const methods = controller.data.methods
-  const method = controller.data.method
-  const methodIndex = controller.data.methodIndex
-  const authorization = controller.data.authorization
-  const state = controller.auth.state
-  const error = controller.auth.error
-  const connectKey = controller.auth.connectKey
-  const completeCode = controller.auth.completeCode
+  const [store, setStore] = createStore({
+    methodIndex: undefined as undefined | number,
+    authorization: undefined as undefined | IntegrationOauthConnectOutput["data"],
+    promptInputs: undefined as undefined | Record<string, string>,
+    state: "pending" as undefined | "pending" | "complete" | "error" | "prompt",
+    error: undefined as string | undefined,
+  })
+
+  type Action =
+    | { type: "method.select"; index: number }
+    | { type: "method.reset" }
+    | { type: "auth.prompt" }
+    | { type: "auth.inputs"; inputs: Record<string, string> }
+    | { type: "auth.pending" }
+    | { type: "auth.complete"; authorization: IntegrationOauthConnectOutput["data"] }
+    | { type: "auth.error"; error: string }
+
+  function dispatch(action: Action) {
+    setStore(
+      produce((draft) => {
+        if (action.type === "method.select") {
+          draft.methodIndex = action.index
+          draft.authorization = undefined
+          draft.promptInputs = undefined
+          draft.state = undefined
+          draft.error = undefined
+          return
+        }
+        if (action.type === "method.reset") {
+          draft.methodIndex = undefined
+          draft.authorization = undefined
+          draft.promptInputs = undefined
+          draft.state = undefined
+          draft.error = undefined
+          return
+        }
+        if (action.type === "auth.prompt") {
+          draft.state = "prompt"
+          draft.error = undefined
+          return
+        }
+        if (action.type === "auth.inputs") {
+          draft.promptInputs = action.inputs
+          draft.state = undefined
+          draft.error = undefined
+          return
+        }
+        if (action.type === "auth.pending") {
+          draft.state = "pending"
+          draft.error = undefined
+          return
+        }
+        if (action.type === "auth.complete") {
+          draft.state = "complete"
+          draft.authorization = action.authorization
+          draft.error = undefined
+          return
+        }
+        draft.state = "error"
+        draft.error = action.error
+      }),
+    )
+  }
+
+  const method = createMemo(() => (store.methodIndex !== undefined ? methods().at(store.methodIndex!) : undefined))
 
   const methodLabel = (value?: { type?: string; label?: string }) => {
     if (!value) return ""
@@ -473,7 +513,56 @@ function ProviderConnection(props: {
     }
   }
 
-  const selectMethod = controller.auth.select
+  function formatError(value: unknown, fallback: string): string {
+    if (value && typeof value === "object" && "data" in value) {
+      const data = (value as { data?: { message?: unknown } }).data
+      if (typeof data?.message === "string" && data.message) return data.message
+    }
+    if (value && typeof value === "object" && "error" in value) {
+      const nested = formatError((value as { error?: unknown }).error, "")
+      if (nested) return nested
+    }
+    if (value && typeof value === "object" && "message" in value) {
+      const message = (value as { message?: unknown }).message
+      if (typeof message === "string" && message) return message
+    }
+    if (value instanceof Error && value.message) return value.message
+    if (typeof value === "string" && value) return value
+    return fallback
+  }
+
+  async function selectMethod(index: number, inputs?: Record<string, string>) {
+    if (timer.current !== undefined) {
+      clearTimeout(timer.current)
+      timer.current = undefined
+    }
+
+    const method = methods()[index]
+    dispatch({ type: "method.select", index })
+
+    if (method.type === "oauth") {
+      if (method.prompts?.length && !inputs) {
+        dispatch({ type: "auth.prompt" })
+        return
+      }
+      dispatch({ type: "auth.pending" })
+      await serverSDK()
+        .api.integration.oauth.connect({
+          integrationID: props.provider,
+          methodID: method.id,
+          inputs: inputs ?? {},
+          location: location(),
+        })
+        .then((x) => {
+          if (!alive.value) return
+          dispatch({ type: "auth.complete", authorization: x.data })
+        })
+        .catch((e) => {
+          if (!alive.value) return
+          dispatch({ type: "auth.error", error: formatError(e, language.t("common.requestFailed")) })
+        })
+    }
+  }
 
   function AuthPromptsView() {
     const [formStore, setFormStore] = createStore({
@@ -494,7 +583,7 @@ function ProviderConnection(props: {
     const current = createMemo(() => {
       const all = prompts()
       const index = all.findIndex((prompt, index) => index >= formStore.index && matches(prompt, formStore.value))
-      if (index === -1) return undefined
+      if (index === -1) return
       return {
         index,
         prompt: all[index],
@@ -508,14 +597,13 @@ function ProviderConnection(props: {
     })
 
     async function next(index: number, value: Record<string, string>) {
-      const selected = methodIndex()
-      if (selected === undefined) return
+      if (store.methodIndex === undefined) return
       const next = prompts().findIndex((prompt, i) => i > index && matches(prompt, value))
       if (next !== -1) {
         setFormStore("index", next)
         return
       }
-      await selectMethod(selected, value)
+      await selectMethod(store.methodIndex, value)
     }
 
     async function handleSubmit(e: SubmitEvent) {
@@ -529,12 +617,12 @@ function ProviderConnection(props: {
     const item = () => current()
     const text = createMemo(() => {
       const prompt = item()?.prompt
-      if (!prompt || prompt.type !== "text") return undefined
+      if (!prompt || prompt.type !== "text") return
       return prompt
     })
     const select = createMemo(() => {
       const prompt = item()?.prompt
-      if (!prompt || prompt.type !== "select") return undefined
+      if (!prompt || prompt.type !== "select") return
       return prompt
     })
 
@@ -605,9 +693,32 @@ function ProviderConnection(props: {
     listRef?.onKeyDown(e)
   }
 
+  let auto = false
+  createEffect(() => {
+    if (auto) return
+    if (loading()) return
+    if (methods().length === 1) {
+      auto = true
+      void selectMethod(0)
+    }
+  })
+
+  async function complete() {
+    await serverSync()
+      .refreshProviders()
+      .catch(() => undefined)
+    dialog.close()
+    showToast({
+      variant: "success",
+      icon: "circle-check",
+      title: language.t("provider.connect.toast.connected.title", { provider: provider().name }),
+      description: language.t("provider.connect.toast.connected.description", { provider: provider().name }),
+    })
+  }
+
   function goBack() {
-    if (methods().length > 1 && methodIndex() !== undefined) {
-      controller.auth.reset()
+    if (methods().length > 1 && store.methodIndex !== undefined) {
+      dispatch({ type: "method.reset" })
       return
     }
     props.onBack()
@@ -695,9 +806,9 @@ function ProviderConnection(props: {
     async function handleSubmit(e: SubmitEvent) {
       e.preventDefault()
 
-      if (!(e.currentTarget instanceof HTMLFormElement)) return
-      const value = new FormData(e.currentTarget).get("apiKey")
-      const apiKey = typeof value === "string" ? value : ""
+      const form = e.currentTarget as HTMLFormElement
+      const formData = new FormData(form)
+      const apiKey = formData.get("apiKey") as string
 
       if (!apiKey?.trim()) {
         setFormStore("error", language.t("provider.connect.apiKey.required"))
@@ -705,7 +816,12 @@ function ProviderConnection(props: {
       }
 
       setFormStore("error", undefined)
-      await connectKey(apiKey)
+      await serverSDK().api.integration.connect.key({
+        integrationID: props.provider,
+        location: location(),
+        key: apiKey,
+      })
+      await complete()
     }
 
     if (newLayout())
@@ -820,9 +936,9 @@ function ProviderConnection(props: {
     async function handleSubmit(e: SubmitEvent) {
       e.preventDefault()
 
-      if (!(e.currentTarget instanceof HTMLFormElement)) return
-      const value = new FormData(e.currentTarget).get("code")
-      const code = typeof value === "string" ? value : ""
+      const form = e.currentTarget as HTMLFormElement
+      const formData = new FormData(form)
+      const code = formData.get("code") as string
 
       if (!code?.trim()) {
         setFormStore("error", language.t("provider.connect.oauth.code.required"))
@@ -830,7 +946,20 @@ function ProviderConnection(props: {
       }
 
       setFormStore("error", undefined)
-      setFormStore("error", await completeCode(code))
+      const result = await serverSDK()
+        .api.integration.oauth.complete({
+          integrationID: props.provider,
+          attemptID: store.authorization!.attemptID,
+          location: location(),
+          code,
+        })
+        .then(() => ({ ok: true as const }))
+        .catch((error) => ({ ok: false as const, error }))
+      if (result.ok) {
+        await complete()
+        return
+      }
+      setFormStore("error", formatError(result.error, language.t("provider.connect.oauth.code.invalid")))
     }
 
     if (newLayout())
@@ -838,7 +967,7 @@ function ProviderConnection(props: {
         <div class="flex flex-col gap-5 px-3 text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted">
           <div>
             {language.t("provider.connect.oauth.code.visit.prefix")}
-            <Link href={authorization()!.url} class="text-v2-text-text-base">
+            <Link href={store.authorization!.url} class="text-v2-text-text-base">
               {language.t("provider.connect.oauth.code.visit.link")}
             </Link>
             {language.t("provider.connect.oauth.code.visit.suffix", { provider: provider().name })}
@@ -877,7 +1006,7 @@ function ProviderConnection(props: {
       <div class="flex flex-col gap-6">
         <div class="text-14-regular text-text-base">
           {language.t("provider.connect.oauth.code.visit.prefix")}
-          <Link href={authorization()!.url}>{language.t("provider.connect.oauth.code.visit.link")}</Link>
+          <Link href={store.authorization!.url}>{language.t("provider.connect.oauth.code.visit.link")}</Link>
           {language.t("provider.connect.oauth.code.visit.suffix", { provider: provider().name })}
         </div>
         <form onSubmit={handleSubmit} class="flex flex-col items-start gap-4">
@@ -903,18 +1032,52 @@ function ProviderConnection(props: {
 
   function OAuthAutoView() {
     const code = createMemo(() => {
-      const instructions = authorization()?.instructions
+      const instructions = store.authorization?.instructions
       if (instructions?.includes(":")) {
         return instructions.split(":").pop()?.trim()
       }
       return instructions
     })
 
+    onMount(() => {
+      const poll = async () => {
+        const authorization = store.authorization
+        if (!authorization || !alive.value) return
+        const result = await serverSDK()
+          .api.integration.oauth.status({
+            integrationID: props.provider,
+            attemptID: authorization.attemptID,
+            location: location(),
+          })
+          .then((value) => ({ ok: true as const, status: value.data }))
+          .catch((error) => ({ ok: false as const, error }))
+        if (!alive.value) return
+        if (!result.ok) {
+          dispatch({ type: "auth.error", error: formatError(result.error, language.t("common.requestFailed")) })
+          return
+        }
+        if (result.status.status === "complete") {
+          await complete()
+          return
+        }
+        if (result.status.status === "failed") {
+          dispatch({ type: "auth.error", error: result.status.message })
+          return
+        }
+        if (result.status.status === "expired") {
+          dispatch({ type: "auth.error", error: language.t("common.requestFailed") })
+          return
+        }
+        timer.current = setTimeout(poll, 1_000)
+      }
+      void poll()
+    })
+
     return (
       <div class="flex flex-col gap-6">
         <div class="text-14-regular text-text-base">
           {language.t("provider.connect.oauth.auto.visit.prefix")}
-          <Link href={authorization()!.url}>{language.t("provider.connect.oauth.auto.visit.link")}</Link>
+          <Link href={store.authorization!.url}>{language.t("provider.connect.oauth.auto.visit.link")}</Link>
           {language.t("provider.connect.oauth.auto.visit.suffix", { provider: provider().name })}
         </div>
         <TextField
@@ -958,7 +1121,7 @@ function ProviderConnection(props: {
         <div
           onKeyDown={handleKey}
           tabIndex={newLayout() ? undefined : 0}
-          autofocus={!newLayout() && methodIndex() === undefined ? true : undefined}
+          autofocus={!newLayout() && store.methodIndex === undefined ? true : undefined}
         >
           <Switch>
             <Match when={loading()}>
@@ -969,10 +1132,10 @@ function ProviderConnection(props: {
                 </div>
               </div>
             </Match>
-            <Match when={methodIndex() === undefined}>
+            <Match when={store.methodIndex === undefined}>
               <MethodSelection />
             </Match>
-            <Match when={state() === "pending"}>
+            <Match when={store.state === "pending"}>
               <div class="text-14-regular text-text-base">
                 <div class="flex items-center gap-x-2">
                   <Spinner />
@@ -980,14 +1143,14 @@ function ProviderConnection(props: {
                 </div>
               </div>
             </Match>
-            <Match when={state() === "prompt"}>
+            <Match when={store.state === "prompt"}>
               <AuthPromptsView />
             </Match>
-            <Match when={state() === "error"}>
+            <Match when={store.state === "error"}>
               <div class="text-14-regular text-text-base">
                 <div class="flex items-center gap-x-2">
                   <Icon name="circle-ban-sign" class="text-icon-critical-base" />
-                  <span>{language.t("provider.connect.status.failed", { error: error() ?? "" })}</span>
+                  <span>{language.t("provider.connect.status.failed", { error: store.error ?? "" })}</span>
                 </div>
               </div>
             </Match>
@@ -996,10 +1159,10 @@ function ProviderConnection(props: {
             </Match>
             <Match when={method()?.type === "oauth"}>
               <Switch>
-                <Match when={authorization()?.mode === "code"}>
+                <Match when={store.authorization?.mode === "code"}>
                   <OAuthCodeView />
                 </Match>
-                <Match when={authorization()?.mode === "auto"}>
+                <Match when={store.authorization?.mode === "auto"}>
                   <OAuthAutoView />
                 </Match>
               </Switch>

packages/app/src/components/dialog-fork.tsx

@@ -69,7 +69,7 @@ export const DialogFork: Component = () => {
     const dir = base64Encode(sdk().directory)
 
     sdk()
-      .api.session.fork({ sessionID, messageID: item.id })
+      .api.session.fork({ sessionID, boundary: { type: "before", messageID: item.id } })
       .then((forked) => {
         dialog.close()
         prompt.set(restored, undefined, { dir, id: forked.id })

packages/app/src/components/provider-connection-controller.test.ts

@@ -1,129 +0,0 @@
-import { describe, expect, test, vi } from "bun:test"
-import { createRoot } from "solid-js"
-import {
-  createProviderConnectionWorkflowController,
-  type ProviderConnectMethod,
-} from "./provider-connection-controller"
-
-const authorization = {
-  attemptID: "attempt-1",
-  url: "https://example.com/auth",
-  instructions: "Code: ABCD",
-  mode: "auto" as const,
-  time: { created: 0, expires: 1 },
-}
-
-function services(options: {
-  methods: readonly ProviderConnectMethod[]
-  status?: () => Promise<{ status: "pending" | "complete" }>
-  refresh?: () => void
-  finish?: () => void
-}) {
-  return {
-    connection: {
-      key: async () => undefined,
-      oauth: async () => authorization,
-      status: options.status ?? (async () => ({ status: "pending" as const })),
-      complete: async () => undefined,
-    },
-    provider: { refresh: async () => options.refresh?.() },
-    completion: { finish: options.finish ?? (() => undefined) },
-  }
-}
-
-function create(options: Parameters<typeof services>[0]) {
-  return createRoot((dispose) => ({
-    dispose,
-    controller: createProviderConnectionWorkflowController({
-      provider: "example",
-      directory: () => "/project",
-      requestFailed: () => "Request failed",
-      invalidCode: () => "Invalid code",
-      loading: () => false,
-      methods: () => [...options.methods],
-      services: services(options),
-      pollInterval: 100,
-    }),
-  }))
-}
-
-async function settle() {
-  await Promise.resolve()
-  await Promise.resolve()
-  await Promise.resolve()
-  await Promise.resolve()
-}
-
-describe("provider connection controller", () => {
-  test("moves prompted OAuth methods through prompt and authorization states", async () => {
-    const owned = create({
-      methods: [
-        {
-          id: "oauth",
-          type: "oauth",
-          label: "OAuth",
-          prompts: [{ type: "text", key: "account", message: "Account" }],
-        },
-      ],
-    })
-
-    await owned.controller.auth.select(0)
-    expect(owned.controller.auth.state()).toBe("prompt")
-
-    await owned.controller.auth.select(0, { account: "team" })
-    expect(owned.controller.auth.state()).toBe("complete")
-    expect(owned.controller.data.authorization()).toEqual(authorization)
-    owned.dispose()
-  })
-
-  test("polls auto OAuth independently and completes after provider refresh", async () => {
-    vi.useFakeTimers()
-    try {
-      const calls: string[] = []
-      const statuses = [{ status: "pending" as const }, { status: "complete" as const }]
-      const owned = create({
-        methods: [{ id: "oauth", type: "oauth", label: "OAuth" }],
-        status: async () => statuses.shift() ?? { status: "complete" as const },
-        refresh: () => calls.push("refresh"),
-        finish: () => calls.push("finish"),
-      })
-
-      await owned.controller.auth.select(0)
-      await settle()
-      expect(owned.controller.data.authorization()).toEqual(authorization)
-      expect(calls).toEqual([])
-
-      vi.advanceTimersByTime(100)
-      await settle()
-      expect(calls).toEqual(["refresh", "finish"])
-      owned.dispose()
-    } finally {
-      vi.useRealTimers()
-    }
-  })
-
-  test("cancels an owned poll timer on reset and disposal", async () => {
-    vi.useFakeTimers()
-    try {
-      const status = vi.fn(async () => ({ status: "pending" as const }))
-      const owned = create({ methods: [{ id: "oauth", type: "oauth", label: "OAuth" }], status })
-
-      await owned.controller.auth.select(0)
-      expect(status).toHaveBeenCalledTimes(1)
-
-      owned.controller.auth.reset()
-      vi.advanceTimersByTime(1_000)
-      await settle()
-      expect(status).toHaveBeenCalledTimes(1)
-
-      await owned.controller.auth.select(0)
-      expect(status).toHaveBeenCalledTimes(2)
-      owned.dispose()
-      vi.advanceTimersByTime(1_000)
-      await settle()
-      expect(status).toHaveBeenCalledTimes(2)
-    } finally {
-      vi.useRealTimers()
-    }
-  })
-})

packages/app/src/components/provider-connection-controller.ts

@@ -1,254 +0,0 @@
-import type { IntegrationMethod, IntegrationOauthConnectOutput } from "@opencode-ai/client/promise"
-import { createEffect, createMemo, createResource, onCleanup } from "solid-js"
-import { createStore, produce } from "solid-js/store"
-
-export type ProviderConnectMethod = Extract<IntegrationMethod, { type: "key" | "oauth" }>
-type Authorization = IntegrationOauthConnectOutput["data"]
-type OAuthStatus = { status: "pending" | "complete" | "expired" } | { status: "failed"; message: string }
-
-type ProviderConnectionServices = {
-  integration: {
-    load: (provider: string, directory?: string) => Promise<{ methods: readonly IntegrationMethod[] } | null>
-  }
-  connection: {
-    key: (provider: string, directory: string | undefined, key: string) => Promise<unknown>
-    oauth: (
-      provider: string,
-      directory: string | undefined,
-      method: string,
-      inputs: Record<string, string>,
-    ) => Promise<Authorization>
-    status: (provider: string, directory: string | undefined, attempt: string) => Promise<OAuthStatus>
-    complete: (provider: string, directory: string | undefined, attempt: string, code: string) => Promise<unknown>
-  }
-  provider: { refresh: () => Promise<unknown> }
-  completion: { finish: () => void }
-}
-
-export function createProviderConnectionController(options: {
-  provider: string
-  directory: () => string | undefined
-  fallbackKeyLabel: () => string
-  requestFailed: () => string
-  invalidCode: () => string
-  services: ProviderConnectionServices
-  pollInterval?: number
-}) {
-  const [integration] = createResource(
-    () => ({ provider: options.provider, directory: options.directory() }),
-    (input) => options.services.integration.load(input.provider, input.directory),
-  )
-  const methods = createMemo<ProviderConnectMethod[]>(() => {
-    const values = integration.latest?.methods.filter(
-      (method): method is ProviderConnectMethod => method.type === "key" || method.type === "oauth",
-    )
-    if (values?.length) return [...values]
-    return [{ type: "key", label: options.fallbackKeyLabel() }]
-  })
-  return createProviderConnectionWorkflowController({
-    ...options,
-    loading: () => integration.loading,
-    methods,
-  })
-}
-
-export function createProviderConnectionWorkflowController(options: {
-  provider: string
-  directory: () => string | undefined
-  requestFailed: () => string
-  invalidCode: () => string
-  loading: () => boolean
-  methods: () => ProviderConnectMethod[]
-  services: Pick<ProviderConnectionServices, "connection" | "provider" | "completion">
-  pollInterval?: number
-}) {
-  const [store, setStore] = createStore({
-    methodIndex: undefined as number | undefined,
-    authorization: undefined as Authorization | undefined,
-    state: "pending" as "pending" | "complete" | "error" | "prompt" | undefined,
-    error: undefined as string | undefined,
-  })
-  const polling = {
-    generation: 0,
-    timer: undefined as ReturnType<typeof setTimeout> | undefined,
-    disposed: false,
-  }
-  const methods = options.methods
-  const method = createMemo(() => (store.methodIndex === undefined ? undefined : methods().at(store.methodIndex)))
-
-  type Action =
-    | { type: "method.select"; index: number }
-    | { type: "method.reset" }
-    | { type: "auth.prompt" }
-    | { type: "auth.pending" }
-    | { type: "auth.complete"; authorization: Authorization }
-    | { type: "auth.error"; error: string }
-
-  const dispatch = (action: Action) => {
-    setStore(
-      produce((draft) => {
-        if (action.type === "method.select") {
-          draft.methodIndex = action.index
-          draft.authorization = undefined
-          draft.state = undefined
-          draft.error = undefined
-          return
-        }
-        if (action.type === "method.reset") {
-          draft.methodIndex = undefined
-          draft.authorization = undefined
-          draft.state = undefined
-          draft.error = undefined
-          return
-        }
-        if (action.type === "auth.prompt") {
-          draft.state = "prompt"
-          draft.error = undefined
-          return
-        }
-        if (action.type === "auth.pending") {
-          draft.state = "pending"
-          draft.error = undefined
-          return
-        }
-        if (action.type === "auth.complete") {
-          draft.state = "complete"
-          draft.authorization = action.authorization
-          draft.error = undefined
-          return
-        }
-        draft.state = "error"
-        draft.error = action.error
-      }),
-    )
-  }
-
-  const cancelPolling = () => {
-    polling.generation++
-    if (polling.timer === undefined) return
-    clearTimeout(polling.timer)
-    polling.timer = undefined
-  }
-  const finish = async () => {
-    cancelPolling()
-    await options.services.provider.refresh().catch(() => undefined)
-    if (polling.disposed) return
-    options.services.completion.finish()
-  }
-  const poll = async (authorization: Authorization, generation: number) => {
-    const result = await options.services.connection
-      .status(options.provider, options.directory(), authorization.attemptID)
-      .then((status) => ({ ok: true as const, status }))
-      .catch((error) => ({ ok: false as const, error }))
-    if (polling.disposed || generation !== polling.generation) return
-    if (!result.ok) {
-      dispatch({ type: "auth.error", error: formatProviderConnectionError(result.error, options.requestFailed()) })
-      return
-    }
-    if (result.status.status === "complete") {
-      await finish()
-      return
-    }
-    if (result.status.status === "failed") {
-      dispatch({ type: "auth.error", error: result.status.message })
-      return
-    }
-    if (result.status.status === "expired") {
-      dispatch({ type: "auth.error", error: options.requestFailed() })
-      return
-    }
-    polling.timer = setTimeout(() => void poll(authorization, generation), options.pollInterval ?? 1_000)
-  }
-  const select = async (index: number, inputs?: Record<string, string>) => {
-    cancelPolling()
-    const generation = polling.generation
-    const selected = methods()[index]
-    dispatch({ type: "method.select", index })
-    if (selected.type !== "oauth") return
-    if (selected.prompts?.length && !inputs) {
-      dispatch({ type: "auth.prompt" })
-      return
-    }
-    dispatch({ type: "auth.pending" })
-    const result = await options.services.connection
-      .oauth(options.provider, options.directory(), selected.id, inputs ?? {})
-      .then((authorization) => ({ ok: true as const, authorization }))
-      .catch((error) => ({ ok: false as const, error }))
-    if (polling.disposed || generation !== polling.generation) return
-    if (!result.ok) {
-      dispatch({ type: "auth.error", error: formatProviderConnectionError(result.error, options.requestFailed()) })
-      return
-    }
-    dispatch({ type: "auth.complete", authorization: result.authorization })
-    if (result.authorization.mode === "auto") void poll(result.authorization, generation)
-  }
-  const reset = () => {
-    cancelPolling()
-    dispatch({ type: "method.reset" })
-  }
-  const connectKey = async (key: string) => {
-    await options.services.connection.key(options.provider, options.directory(), key)
-    await finish()
-  }
-  const completeCode = async (code: string) => {
-    const authorization = store.authorization
-    if (!authorization) return options.invalidCode()
-    const result = await options.services.connection
-      .complete(options.provider, options.directory(), authorization.attemptID, code)
-      .then(() => ({ ok: true as const }))
-      .catch((error) => ({ ok: false as const, error }))
-    if (!result.ok) return formatProviderConnectionError(result.error, options.invalidCode())
-    await finish()
-    return undefined
-  }
-
-  let auto = false
-  createEffect(() => {
-    if (auto || options.loading() || methods().length !== 1) return
-    auto = true
-    void select(0)
-  })
-  onCleanup(() => {
-    polling.disposed = true
-    cancelPolling()
-  })
-
-  return {
-    data: {
-      loading: options.loading,
-      methods,
-      method,
-      methodIndex: () => store.methodIndex,
-      authorization: () => store.authorization,
-    },
-    auth: {
-      state: () => store.state,
-      error: () => store.error,
-      select,
-      reset,
-      connectKey,
-      completeCode,
-    },
-  }
-}
-
-export type ProviderConnectionController = ReturnType<typeof createProviderConnectionController>
-
-export function formatProviderConnectionError(value: unknown, fallback: string): string {
-  if (value && typeof value === "object" && "data" in value) {
-    const data = value.data
-    if (data && typeof data === "object" && "message" in data && typeof data.message === "string" && data.message)
-      return data.message
-  }
-  if (value && typeof value === "object" && "error" in value) {
-    const nested = formatProviderConnectionError(value.error, "")
-    if (nested) return nested
-  }
-  if (value && typeof value === "object" && "message" in value) {
-    const message = value.message
-    if (typeof message === "string" && message) return message
-  }
-  if (value instanceof Error && value.message) return value.message
-  if (typeof value === "string" && value) return value
-  return fallback
-}

packages/app/src/context/global-sync/bootstrap.ts

@@ -129,8 +129,8 @@ export const loadProjectsQuery = (scope: ServerScope, api: ProjectApi) =>
         api.list().then((projects) => {
           return projects
             .filter((p) => !!p?.id)
-            .filter((p) => !!p.worktree && !p.worktree.includes("opencode-test"))
             .map(normalizeProjectInfo)
+            .filter((p) => !!p.worktree && !p.worktree.includes("opencode-test"))
             .slice()
             .sort((a, b) => cmp(a.id, b.id))
         }),

packages/app/src/context/global-sync/utils.ts

@@ -168,6 +168,7 @@ export function sanitizeProject(project: Project) {
 export function normalizeProjectInfo(project: Project | CurrentProject): Project {
   return {
     ...project,
+    worktree: "canonical" in project ? project.canonical : project.worktree,
     vcs: project.vcs === "git" ? "git" : undefined,
   }
 }

packages/app/src/utils/server-compat.test.ts

@@ -26,7 +26,6 @@ function setup(
         return new Response(undefined, { status: 204 })
       if (request.method === "POST" && request.url.endsWith("/prompt")) {
         return Response.json({
-          admittedSeq: 1,
           id: "msg_1",
           sessionID: "ses_1",
           timeCreated: 1,

packages/app/src/utils/server-compat.ts

@@ -128,7 +128,7 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
   const located = <T>(data: T, value?: { directory?: string }) => ({
     location: {
       directory: directory(value) ?? "",
-      project: { id: "", directory: directory(value) ?? "" },
+      project: { id: "", directory: directory(value) ?? "", canonical: directory(value) ?? "" },
     },
     data,
   })
@@ -229,7 +229,6 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
           ],
         })
         return {
-          admittedSeq: 0,
           id: value.id ?? "",
           sessionID: value.sessionID,
           timeCreated: Date.now(),
@@ -255,7 +254,6 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
           })),
         })
         return {
-          admittedSeq: 0,
           id: value.id ?? "",
           sessionID: value.sessionID,
           timeCreated: Date.now(),
@@ -280,7 +278,6 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
           modelID: value.model.modelID,
         })
         return {
-          admittedSeq: 0,
           id: value.id ?? "",
           sessionID: value.sessionID,
           timeCreated: Date.now(),
@@ -301,12 +298,19 @@ function createV1Api(input: CompatibleInput): CompatibleApi {
     project: {
       ...input.current.project,
       async list() {
-        return ((await legacy().project.list()).data ?? []) as Project[]
+        return ((await legacy().project.list()).data ?? []).map((project) => ({
+          ...project,
+          canonical: project.worktree,
+        }))
       },
       async current(value?: Parameters<ServerApi["project"]["current"]>[0]) {
         const result = await legacy(value?.location).project.current()
         if (!result.data) throw new Error("Project not found")
-        return { id: result.data.id, directory: result.data.worktree } satisfies ProjectCurrent
+        return {
+          id: result.data.id,
+          directory: result.data.worktree,
+          canonical: result.data.worktree,
+        } satisfies ProjectCurrent
       },
       // async update(value: Parameters<ServerApi["project"]["update"]>[0]) {
       //   const project = (await legacy().project.list()).data?.find((item) => item.id === value.projectID)

packages/cli/package.json

@@ -40,6 +40,9 @@
     "open": "10.1.2",
     "semver": "catalog:",
     "solid-js": "catalog:",
+    "tree-sitter-bash": "0.25.0",
+    "tree-sitter-powershell": "0.25.10",
+    "web-tree-sitter": "0.25.10",
     "uqr": "0.1.3",
     "ws": "8.21.0"
   },

packages/cli/script/build-node.ts

@@ -62,8 +62,8 @@ for (const target of targets) {
   await rm("dist-node", { recursive: true, force: true })
   const assetHash = await hashNodeAssets(assets)
   const input = { version: Script.version, channel: Script.channel, models: modelsData, assetHash, target }
-  await build(mainConfig(input))
   await copyNodeAssets(assets)
+  await build(mainConfig(input))
 
   const host = target.platform === process.platform && target.arch === process.arch
   if (host) {

packages/cli/script/node-assets.ts

@@ -3,7 +3,7 @@ import { copyFile, mkdir, readdir, readFile, stat } from "node:fs/promises"
 import path from "node:path"
 import { fileURLToPath } from "node:url"
 import { getNodeAssets } from "@opentui/core/node-assets"
-import { attentionSoundAssets, type NodeTarget, photonWasmAsset } from "../src/node/target"
+import { attentionSoundAssets, type NodeTarget, photonWasmAsset, shellParserWasmAssets } from "../src/node/target"
 
 const dir = path.resolve(import.meta.dirname, "..")
 
@@ -43,6 +43,10 @@ export async function collectNodeAssets(target: NodeTarget) {
       key: photonWasmAsset,
       source: fileURLToPath(import.meta.resolve(photonWasmAsset)),
     },
+    ...Object.values(shellParserWasmAssets).map((key) => ({
+      key,
+      source: fileURLToPath(import.meta.resolve(key)),
+    })),
     ...attentionSoundAssets.map((key) => ({
       key,
       source: path.resolve(dir, "../ui/src/assets/audio", path.basename(key)),

packages/cli/src/acp/service.ts

@@ -244,7 +244,10 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
       return {}
     },
     forkSession: async (params) => {
-      const forked = await input.client.session.fork({ sessionID: params.sessionId })
+      const forked = await input.client.session.fork({
+        sessionID: params.sessionId,
+        boundary: { type: "through" },
+      })
       const state = await attach(forked, forked.location.directory, params.mcpServers ?? [])
       await replay(state)
       return { sessionId: state.id, configOptions: configOptions(state) }

packages/cli/src/node/target.ts

@@ -29,6 +29,11 @@ export function nodeTarget(platform: string, arch: string) {
 }
 
 export const photonWasmAsset = "@silvia-odwyer/photon-node/photon_rs_bg.wasm"
+export const shellParserWasmAssets = {
+  runtime: "web-tree-sitter/tree-sitter.wasm",
+  bash: "tree-sitter-bash/tree-sitter-bash.wasm",
+  powershell: "tree-sitter-powershell/tree-sitter-powershell.wasm",
+} as const
 export const nodeExecArgv = ["--experimental-ffi", "--use-system-ca", "--disable-warning=ExperimentalWarning"] as const
 
 export const attentionSoundAssets = [

packages/cli/src/session-target.ts

@@ -105,7 +105,7 @@ async function selectSession(input: {
     return {
       session: input.fork
         ? await input.client.session
-            .fork({ sessionID: explicit.id }, ...requestOptions(input.signal))
+            .fork({ sessionID: explicit.id, boundary: { type: "through" } }, ...requestOptions(input.signal))
             .catch((error) => {
               throw new SessionTargetMutationError(error)
             })
@@ -118,9 +118,11 @@ async function selectSession(input: {
   if (!selected) return { session: undefined, location }
   return {
     session: input.fork
-      ? await input.client.session.fork({ sessionID: selected.id }, ...requestOptions(input.signal)).catch((error) => {
-          throw new SessionTargetMutationError(error)
-        })
+      ? await input.client.session
+          .fork({ sessionID: selected.id, boundary: { type: "through" } }, ...requestOptions(input.signal))
+          .catch((error) => {
+            throw new SessionTargetMutationError(error)
+          })
       : selected,
   }
 }

packages/cli/test/acp/service-lifecycle.test.ts

@@ -136,7 +136,7 @@ describe("acp service lifecycle", () => {
       method: "POST",
       path: "/api/session/ses_loaded/fork",
       query: {},
-      body: {},
+      body: { boundary: { type: "through" } },
     })
   })
 

packages/cli/test/run/noninteractive.test.ts

@@ -267,7 +267,7 @@ async function run(input: {
     values.push(...input.turn(messageID))
     wake?.()
     wake = undefined
-    return ok({ admittedSeq: 1, id: messageID, sessionID: "ses_1", timeCreated: 1 }) as never
+    return ok({ id: messageID, sessionID: "ses_1", timeCreated: 1 }) as never
   })
   await runNonInteractivePrompt({
     client: sdk,

packages/cli/test/session-target.test.ts

@@ -3,7 +3,7 @@ import { OpenCode, type LocationGetOutput, type ModelRef, type SessionInfo } fro
 import { resolveSessionTarget, SessionTargetMutationError } from "../src/session-target"
 
 function location(directory: string, workspaceID?: string): LocationGetOutput {
-  return { directory, workspaceID, project: { id: "project", directory } }
+  return { directory, workspaceID, project: { id: "project", directory, canonical: directory } }
 }
 
 function session(id: string, directory: string, workspaceID?: string, model?: ModelRef): SessionInfo {

packages/cli/vite.node.config.ts

@@ -3,7 +3,13 @@ import { readFile } from "node:fs/promises"
 import { createRequire } from "node:module"
 import { defineConfig, type Plugin, type UserConfig } from "vite"
 import solid from "vite-plugin-solid"
-import { nodeExecArgv, nodeTarget, type NodeTarget, photonWasmAsset } from "./src/node/target"
+import {
+  nodeExecArgv,
+  nodeTarget,
+  type NodeTarget,
+  photonWasmAsset,
+  shellParserWasmAssets,
+} from "./src/node/target"
 
 const dir = import.meta.dirname
 
@@ -194,6 +200,9 @@ process.env.OTUI_ASSET_ROOT = __ocAssetRoot
 process.env.OPENCODE_NODE_PTY_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.nodePtyEntryAsset)})
 process.env.OPENCODE_PARCEL_WATCHER_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.parcelWatcherAsset)})
 process.env.OPENCODE_PHOTON_WASM_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(photonWasmAsset)})
+process.env.OPENCODE_TREE_SITTER_WASM_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(shellParserWasmAssets.runtime)})
+process.env.OPENCODE_TREE_SITTER_BASH_WASM_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(shellParserWasmAssets.bash)})
+process.env.OPENCODE_TREE_SITTER_POWERSHELL_WASM_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(shellParserWasmAssets.powershell)})
 process.env.FFF_BINARY_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.fffAsset)})
 process.env.OPENCODE_FFF_FFI_PATH = __ocPath.join(__ocAssetRoot, ${JSON.stringify(input.target.fffFfiAsset)})
 try {

packages/client/src/effect/api/api.ts

@@ -136,7 +136,7 @@ export type Endpoint5_4Input = { readonly sessionID: Session.ID }
 export type Endpoint5_4Output = void
 export type SessionRemoveOperation<E = never> = (input: Endpoint5_4Input) => Effect.Effect<Endpoint5_4Output, E>
 
-export type Endpoint5_5Input = { readonly sessionID: Session.ID; readonly messageID?: SessionMessage.ID | undefined }
+export type Endpoint5_5Input = { readonly sessionID: Session.ID; readonly boundary: Session.ForkRequestBoundary }
 export type Endpoint5_5Output = Session.Info
 export type SessionForkOperation<E = never> = (input: Endpoint5_5Input) => Effect.Effect<Endpoint5_5Output, E>
 
@@ -342,8 +342,10 @@ export type Endpoint5_26Output =
           readonly data: {
             readonly sessionID: Session.ID
             readonly parentID: Session.ID
-            readonly parentSeq: number
-            readonly from?: SessionMessage.ID | undefined
+            readonly boundary: Session.ForkBoundary
+            readonly instructions?:
+              | { readonly [x: string & Brand.Brand<"Instruction.Key">]: string & Brand.Brand<"Instruction.Hash"> }
+              | undefined
           }
         }
       | {

packages/client/src/effect/generated/client.ts

@@ -329,7 +329,7 @@ const Endpoint5_4 = (raw: RawClient["server.session"]) => (input: Endpoint5_4Inp
 
 const Endpoint5_5 = (raw: RawClient["server.session"]) => (input: Endpoint5_5Input) =>
   preserveEffect<Endpoint5_5Output>()(
-    raw["session.fork"]({ params: { sessionID: input["sessionID"] }, payload: { messageID: input["messageID"] } }).pipe(
+    raw["session.fork"]({ params: { sessionID: input["sessionID"] }, payload: { boundary: input["boundary"] } }).pipe(
       Effect.mapError(mapClientError),
       Effect.map((value) => value.data),
     ),

packages/client/src/promise/generated/client.ts

@@ -510,7 +510,7 @@ export function make(options: ClientOptions) {
           {
             method: "POST",
             path: `/api/session/${encodeURIComponent(input.sessionID)}/fork`,
-            body: { messageID: input["messageID"] },
+            body: { boundary: input["boundary"] },
             successStatus: 200,
             declaredStatuses: [404, 400, 401],
             empty: false,

packages/client/src/promise/generated/types.ts

@@ -14,6 +14,8 @@ export type PermissionEffect = "allow" | "deny" | "ask"
 
 export type PluginInfo = { id: string }
 
+export type SessionForkBoundary = { type: "before"; messageID: string } | { type: "through"; messageID: string }
+
 export type MoneyUSD = number
 
 export type TokenUsageInfo = {
@@ -43,13 +45,7 @@ export type PromptMention = { start: number; end: number; text: string }
 
 export type SessionPendingSyntheticData = { text: string; description?: string; metadata?: { [x: string]: JsonValue } }
 
-export type SessionPendingCompaction = {
-  admittedSeq: number
-  id: string
-  sessionID: string
-  timeCreated: number
-  type: "compaction"
-}
+export type SessionPendingCompaction = { id: string; sessionID: string; timeCreated: number; type: "compaction" }
 
 export type SessionMessageAgentSelected = {
   id: string
@@ -283,7 +279,7 @@ export type ProjectCommands = { start?: string }
 
 export type ProjectTime = { created: number; updated: number; initialized?: number }
 
-export type ProjectCurrent = { id: string; directory: string }
+export type ProjectCurrent = { id: string; directory: string; canonical: string }
 
 export type ProjectDirectory = { directory: string; strategy?: string }
 
@@ -628,7 +624,7 @@ export type SessionForked = {
   type: "session.forked"
   durable: { aggregateID: string; seq: number; version: 2 }
   location?: LocationRef
-  data: { sessionID: string; parentID: string; parentSeq: number; from?: string }
+  data: { sessionID: string; parentID: string; boundary: SessionForkBoundary; instructions?: { [x: string]: string } }
 }
 
 export type SessionInputPromoted = {
@@ -1210,7 +1206,6 @@ export type PromptFileAttachment = {
 export type PromptAgentAttachment = { name: string; mention?: PromptMention }
 
 export type SessionPendingSynthetic = {
-  admittedSeq: number
   id: string
   sessionID: string
   timeCreated: number
@@ -1435,7 +1430,7 @@ export type McpResourceCatalog = { resources: Array<McpResource>; templates: Arr
 
 export type Project = {
   id: string
-  worktree: string
+  canonical: string
   vcs?: ProjectVcs
   name?: string
   icon?: ProjectIcon
@@ -1755,7 +1750,7 @@ export type PermissionRuleset = Array<PermissionRule>
 export type SessionInfo = {
   id: string
   parentID?: string
-  fork?: { sessionID: string; messageID?: string }
+  fork?: { sessionID: string; boundary: SessionForkBoundary }
   projectID: string
   agent?: string
   model?: ModelRef
@@ -1966,7 +1961,6 @@ export type AgentInfo = {
 export type SessionsResponse = { data: Array<SessionInfo>; cursor: { previous?: string | null; next?: string | null } }
 
 export type SessionPendingUser = {
-  admittedSeq: number
   id: string
   sessionID: string
   timeCreated: number
@@ -2521,7 +2515,11 @@ export type LocationGetInput = {
   }["location"]
 }
 
-export type LocationGetOutput = { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+export type LocationGetOutput = {
+  directory: string
+  workspaceID?: string
+  project: { id: string; directory: string; canonical: string }
+}
 
 export type AgentListInput = {
   readonly location?: {
@@ -2530,7 +2528,7 @@ export type AgentListInput = {
 }
 
 export type AgentListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<AgentInfo>
 }
 
@@ -2542,7 +2540,7 @@ export type AgentGetInput = {
 }
 
 export type AgentGetOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: AgentInfo
 }
 
@@ -2553,7 +2551,7 @@ export type PluginListInput = {
 }
 
 export type PluginListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<PluginInfo>
 }
 
@@ -2702,7 +2700,9 @@ export type SessionRemoveOutput = void
 
 export type SessionForkInput = {
   readonly sessionID: { readonly sessionID: string }["sessionID"]
-  readonly messageID?: { readonly messageID?: string | undefined }["messageID"]
+  readonly boundary: {
+    readonly boundary: { readonly type: "before"; readonly messageID: string } | { readonly type: "through" }
+  }["boundary"]
 }
 
 export type SessionForkOutput = { data: SessionInfo }["data"]
@@ -3235,7 +3235,7 @@ export type ModelListInput = {
 }
 
 export type ModelListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<ModelInfo>
 }
 
@@ -3246,7 +3246,7 @@ export type ModelDefaultInput = {
 }
 
 export type ModelDefaultOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: ModelInfo | null
 }
 
@@ -3273,7 +3273,7 @@ export type ProviderListInput = {
 }
 
 export type ProviderListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<ProviderInfo>
 }
 
@@ -3285,7 +3285,7 @@ export type ProviderGetInput = {
 }
 
 export type ProviderGetOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: ProviderInfo
 }
 
@@ -3296,7 +3296,7 @@ export type IntegrationListInput = {
 }
 
 export type IntegrationListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<IntegrationInfo>
 }
 
@@ -3308,7 +3308,7 @@ export type IntegrationGetInput = {
 }
 
 export type IntegrationGetOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: IntegrationInfo | null
 }
 
@@ -3355,7 +3355,7 @@ export type IntegrationOauthConnectInput = {
 }
 
 export type IntegrationOauthConnectOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: {
     attemptID: string
     url: string
@@ -3374,7 +3374,7 @@ export type IntegrationOauthStatusInput = {
 }
 
 export type IntegrationOauthStatusOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: IntegrationAttemptStatus
 }
 
@@ -3409,7 +3409,7 @@ export type IntegrationCommandConnectInput = {
 }
 
 export type IntegrationCommandConnectOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: IntegrationCommandAttempt
 }
 
@@ -3422,7 +3422,7 @@ export type IntegrationCommandStatusInput = {
 }
 
 export type IntegrationCommandStatusOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: IntegrationCommandAttemptStatus
 }
 
@@ -3443,7 +3443,7 @@ export type McpListInput = {
 }
 
 export type McpListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<McpServer>
 }
 
@@ -3532,7 +3532,7 @@ export type McpResourceCatalogInput = {
 }
 
 export type McpResourceCatalogOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: McpResourceCatalog
 }
 
@@ -3581,7 +3581,7 @@ export type FormRequestListInput = {
 }
 
 export type FormRequestListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<FormInfo>
 }
 
@@ -4437,7 +4437,7 @@ export type PermissionRequestListInput = {
 }
 
 export type PermissionRequestListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<PermissionRequest>
 }
 
@@ -4559,7 +4559,7 @@ export type FileListInput = {
 }
 
 export type FileListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<FileSystemEntry>
 }
 
@@ -4591,7 +4591,7 @@ export type FileFindInput = {
 }
 
 export type FileFindOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<FileSystemEntry>
 }
 
@@ -4602,7 +4602,7 @@ export type CommandListInput = {
 }
 
 export type CommandListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<CommandInfo>
 }
 
@@ -4613,7 +4613,7 @@ export type SkillListInput = {
 }
 
 export type SkillListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<SkillInfo>
 }
 
@@ -4626,7 +4626,7 @@ export type PtyListInput = {
 }
 
 export type PtyListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<Pty>
 }
 
@@ -4672,7 +4672,7 @@ export type PtyCreateInput = {
 }
 
 export type PtyCreateOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Pty
 }
 
@@ -4684,7 +4684,7 @@ export type PtyGetInput = {
 }
 
 export type PtyGetOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Pty
 }
 
@@ -4701,7 +4701,7 @@ export type PtyUpdateInput = {
 }
 
 export type PtyUpdateOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Pty
 }
 
@@ -4721,7 +4721,7 @@ export type ShellListInput = {
 }
 
 export type ShellListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<ShellInfo1>
 }
 
@@ -4756,7 +4756,7 @@ export type ShellCreateInput = {
 }
 
 export type ShellCreateOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: ShellInfo1
 }
 
@@ -4768,7 +4768,7 @@ export type ShellGetInput = {
 }
 
 export type ShellGetOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: ShellInfo1
 }
 
@@ -4781,7 +4781,7 @@ export type ShellTimeoutInput = {
 }
 
 export type ShellTimeoutOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: ShellInfo1
 }
 
@@ -4805,7 +4805,7 @@ export type ShellOutputInput = {
 }
 
 export type ShellOutputOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: { output: string; cursor: number; size: number; truncated: boolean }
 }
 
@@ -4825,7 +4825,7 @@ export type QuestionRequestListInput = {
 }
 
 export type QuestionRequestListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<QuestionRequest>
 }
 
@@ -4855,7 +4855,7 @@ export type ReferenceListInput = {
 }
 
 export type ReferenceListOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<ReferenceInfo>
 }
 
@@ -4898,7 +4898,7 @@ export type VcsStatusInput = {
 }
 
 export type VcsStatusOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<VcsFileStatus>
 }
 
@@ -4921,7 +4921,7 @@ export type VcsDiffInput = {
 }
 
 export type VcsDiffOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<FileDiffInfo>
 }
 
@@ -4942,7 +4942,7 @@ export type WebsearchProvidersInput = {
 }
 
 export type WebsearchProvidersOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: Array<WebSearchProvider>
 }
 
@@ -4955,6 +4955,6 @@ export type WebsearchQueryInput = {
 }
 
 export type WebsearchQueryOutput = {
-  location: { directory: string; workspaceID?: string; project: { id: string; directory: string } }
+  location: { directory: string; workspaceID?: string; project: { id: string; directory: string; canonical: string } }
   data: { providerID: string; results: Array<WebSearchResult> }
 }

packages/client/test/effect.test.ts

@@ -268,7 +268,6 @@ const session = {
 
 const admission = {
   data: {
-    admittedSeq: 0,
     id: "msg_test",
     sessionID: "ses_test",
     type: "user",
@@ -281,7 +280,6 @@ const admission = {
 const compactionAdmission = {
   data: {
     type: "compaction",
-    admittedSeq: 1,
     id: "msg_compaction",
     sessionID: "ses_test",
     timeCreated: 1_717_171_717_000,

packages/client/test/promise.test.ts

@@ -304,7 +304,6 @@ test("session.pending.list uses the public HTTP contract", async () => {
   const requests: Array<{ method: string; url: string }> = []
   const pending = [
     {
-      admittedSeq: 3,
       id: "msg_pending",
       sessionID: "ses_test",
       timeCreated: 1_717_171_717_000,
@@ -547,7 +546,6 @@ const session = {
 
 const admission = {
   data: {
-    admittedSeq: 0,
     id: "msg_test",
     sessionID: "ses_test",
     type: "user",
@@ -559,7 +557,6 @@ const admission = {
 
 const syntheticAdmission = {
   data: {
-    admittedSeq: 1,
     id: "msg_synthetic",
     sessionID: "ses_test",
     type: "synthetic",
@@ -572,7 +569,6 @@ const syntheticAdmission = {
 const compactionAdmission = {
   data: {
     type: "compaction",
-    admittedSeq: 1,
     id: "msg_compaction",
     sessionID: "ses_test",
     timeCreated: 1_717_171_717_000,

packages/core/package.json

@@ -41,6 +41,11 @@
       "node": "./src/image/photon-wasm.node.ts",
       "default": "./src/image/photon-wasm.bun.ts"
     },
+    "#shell-parser-wasm": {
+      "bun": "./src/shell/parser-wasm.bun.ts",
+      "node": "./src/shell/parser-wasm.node.ts",
+      "default": "./src/shell/parser-wasm.bun.ts"
+    },
     "#process-lock-ffi": {
       "bun": "./src/util/process-lock-ffi.bun.ts",
       "node": "./src/util/process-lock-ffi.node.ts",
@@ -119,7 +124,10 @@
     "jsonc-parser": "3.3.1",
     "semver": "^7.6.3",
     "turndown": "7.2.0",
+    "tree-sitter-bash": "0.25.0",
+    "tree-sitter-powershell": "0.25.10",
     "venice-ai-sdk-provider": "2.1.1",
+    "web-tree-sitter": "0.25.10",
     "which": "6.0.1",
     "zod": "catalog:"
   },

packages/core/schema.json

@@ -1,9 +1,9 @@
 {
   "version": "7",
   "dialect": "sqlite",
-  "id": "a4ba73b4-21bc-41ab-a415-94e2ca38d798",
+  "id": "db37a97f-9b5e-4c87-be8b-4feace35136c",
   "prevIds": [
-    "5f0a1db8-d4bf-42c3-becb-96b46fe66bed"
+    "a4ba73b4-21bc-41ab-a415-94e2ca38d798"
   ],
   "ddl": [
     {
@@ -1266,17 +1266,7 @@
       "autoincrement": false,
       "default": null,
       "generated": null,
-      "name": "fork_message_id",
-      "entityType": "columns",
-      "table": "session"
-    },
-    {
-      "type": "integer",
-      "notNull": false,
-      "autoincrement": false,
-      "default": null,
-      "generated": null,
-      "name": "fork_seq",
+      "name": "fork_boundary",
       "entityType": "columns",
       "table": "session"
     },

packages/core/src/codemode/catalog.ts

@@ -6,6 +6,7 @@ export const Entry = Schema.Struct({
   path: Schema.String,
   description: Schema.String,
   signature: Schema.String,
+  pinned: Schema.optionalKey(Schema.Boolean),
 })
 export type Entry = typeof Entry.Type
 
@@ -56,26 +57,39 @@ export function summarize(entries: ReadonlyArray<Entry>, budget = INLINE_BUDGET)
           if (left.path > right.path) return 1
           return 0
         })
+      const ranked = rankListings(listings)
+      const pinned = new Set(
+        namespaceEntries
+          .filter((entry) => entry.pinned)
+          .map((entry) => listings.find((listing) => listing.path === entry.path))
+          .filter((listing) => listing !== undefined),
+      )
       return {
         name,
         listings,
-        selectionOrder: rankListings(listings),
-        selectedListings: new Set<typeof Listing.Type>(),
+        selectionOrder: ranked.filter((candidate) => !pinned.has(candidate.listing)),
+        selectedListings: pinned,
+        selectionIndex: 0,
       }
     })
 
   const active = new Set(namespaces)
-  let remaining = budget
+  let remaining =
+    budget -
+    namespaces
+      .flatMap((namespace) => namespace.listings.filter((listing) => namespace.selectedListings.has(listing)))
+      .reduce((total, listing) => total + Math.round(listing.line.length / CHARACTERS_PER_TOKEN), 0)
   while (active.size > 0) {
     for (const namespace of active) {
-      const candidate = namespace.selectionOrder[namespace.selectedListings.size]
+      const candidate = namespace.selectionOrder[namespace.selectionIndex]
       if (!candidate || candidate.cost > remaining) {
         active.delete(namespace)
         continue
       }
       namespace.selectedListings.add(candidate.listing)
+      namespace.selectionIndex += 1
       remaining -= candidate.cost
-      if (namespace.selectedListings.size === namespace.selectionOrder.length) active.delete(namespace)
+      if (namespace.selectionIndex === namespace.selectionOrder.length) active.delete(namespace)
     }
   }
 

packages/core/src/codemode/instructions.ts

@@ -6,7 +6,9 @@ import { Instructions } from "../instructions/index"
 import { CodeModeCatalog } from "./catalog"
 
 // prettier-ignore
-const prompt = (hasMoreTools: boolean) => `The Code Mode tool catalog below is ${hasMoreTools ? "partial" : "complete"}.${hasMoreTools ? `
+const prompt = (hasMoreTools: boolean) => `The Code Mode tool catalog below is ${hasMoreTools ? "partial" : "complete"}.
+
+${hasMoreTools ? "The Code Mode catalog and `search` results are" : "This catalog is"} the complete set of tools available within Code Mode. Tools presented elsewhere are not available in this runtime.${hasMoreTools ? `
 
 ## Search
 

packages/core/src/codemode/tool.ts

@@ -33,7 +33,7 @@ type CollectedFiles = {
 
 // Invariant model-facing guidance; the changing tool catalog is delivered through Instructions.
 const description = [
-  "Run JavaScript to orchestrate tool calls and compose their results through `{ code }` in a confined Code Mode runtime.",
+  "Run JavaScript in a confined Code Mode runtime to orchestrate tool calls and compose their results.",
   "Imports, direct filesystem access, and timers are unavailable. Do not use `fetch`; all external access goes through `tools`.",
   "Within `{ code }`, the only callable tools are those explicitly listed in the Code Mode catalog instructions or returned by `search`. Inside `{ code }`, ignore tools shown outside the Code Mode catalog. They are not available in the Code Mode runtime.",
   'Call tools through `tools` using only exact paths and signatures from the catalog. Do not infer or normalize tool names; preserve bracket notation such as `tools.<namespace>["tool-name"](input)`.',
@@ -138,7 +138,14 @@ export const create = (
 }
 
 export const catalog = (registrations: ReadonlyMap<string, Info>) => {
-  return runtime(registrations, () => Effect.fail(toolError("Execute context is unavailable"))).catalog()
+  const pinned = new Set(
+    Array.from(registrations.values())
+      .filter((registration) => registration.options?.pinned === true)
+      .map(qualifiedName),
+  )
+  return runtime(registrations, () => Effect.fail(toolError("Execute context is unavailable")))
+    .catalog()
+    .map((entry) => ({ ...entry, pinned: pinned.has(entry.path) }))
 }
 
 function runtime(
@@ -149,11 +156,7 @@ function runtime(
   const tools: Record<string, Tool.Tool<never>> = {}
   for (const [name, registration] of registrations) {
     const child = definition(registration)
-    const normalized = registration.name.replace(/[^a-zA-Z0-9_-]/g, "_")
-    const path =
-      registration.options?.namespace === undefined
-        ? normalized
-        : `${registration.options.namespace}.${normalized}`
+    const path = qualifiedName(registration)
     tools[path] = Tool.make({
       description: child.description,
       input: child.inputSchema,
@@ -164,6 +167,12 @@ function runtime(
   return CodeMode.make<typeof tools>({ tools, ...hooks })
 }
 
+function qualifiedName(registration: Info) {
+  const normalized = registration.name.replace(/[^a-zA-Z0-9_-]/g, "_")
+  if (registration.options?.namespace === undefined) return normalized
+  return `${registration.options.namespace}.${normalized}`
+}
+
 // Tool inputs arrive as parsed JSON, so the JSON value cast is a boundary fact.
 function displayInput(input: unknown): Record<string, typeof Schema.Json.Type> | undefined {
   if (input === null || input === undefined) return

packages/core/src/config.ts

@@ -393,7 +393,8 @@ export const layer = (options?: Options) => Layer.effect(
         const key = JSON.stringify(target)
         if (watched.has(key)) continue
         watched.add(key)
-        yield* watcher.subscribe(target).pipe(
+        const stream = yield* watcher.subscribe(target)
+        yield* stream.pipe(
           Stream.runForEach((update) => PubSub.publish(updates, update)),
           Effect.forkScoped({ startImmediately: true }),
         )

packages/core/src/database/migration.gen.ts

@@ -57,5 +57,6 @@ export const migrations = (
     import("./migration/20260716020354_kv"),
     import("./migration/20260722011141_delete_tool_progress_events"),
     import("./migration/20260722170000_canonical_tool_results"),
+    import("./migration/20260729022634_session_fork_boundary"),
   ])
 ).map((module) => module.default) satisfies DatabaseMigration.Migration[]

packages/core/src/database/migration/20260729022634_session_fork_boundary.ts

@@ -0,0 +1,13 @@
+import { Effect } from "effect"
+import type { DatabaseMigration } from "../migration"
+
+export default {
+  id: "20260729022634_session_fork_boundary",
+  up(tx) {
+    return Effect.gen(function* () {
+      yield* tx.run(`ALTER TABLE \`session\` ADD \`fork_boundary\` text;`)
+      yield* tx.run(`ALTER TABLE \`session\` DROP COLUMN \`fork_message_id\`;`)
+      yield* tx.run(`ALTER TABLE \`session\` DROP COLUMN \`fork_seq\`;`)
+    })
+  },
+} satisfies DatabaseMigration.Migration

packages/core/src/database/schema.gen.ts

@@ -213,8 +213,7 @@ export default {
           \`workspace_id\` text,
           \`parent_id\` text,
           \`fork_session_id\` text,
-          \`fork_message_id\` text,
-          \`fork_seq\` integer,
+          \`fork_boundary\` text,
           \`slug\` text NOT NULL,
           \`directory\` text NOT NULL,
           \`path\` text,

packages/core/src/file-mutation.ts

@@ -5,6 +5,7 @@ import { Context, Effect, Layer, Schema } from "effect"
 import { dirname } from "path"
 import { KeyedMutex } from "./effect/keyed-mutex"
 import { FSUtil } from "@opencode-ai/util/fs-util"
+import { Bom } from "@opencode-ai/util/bom"
 
 export interface Target {
   readonly canonical: string
@@ -108,13 +109,13 @@ const layer = Layer.effect(
     const writeTextPreservingBom = Effect.fn("FileMutation.writeTextPreservingBom")((input: TextWriteInput) =>
       withTargetLock(input.target)(
         Effect.gen(function* () {
-          const next = splitBom(input.content)
+          const next = Bom.split(input.content)
           const current = yield* fs
             .readFile(input.target.canonical)
             .pipe(Effect.catchReason("PlatformError", "NotFound", () => Effect.succeed(undefined)))
           yield* fs.writeWithDirs(
             input.target.canonical,
-            joinBom(next.text, Boolean(current && hasUtf8Bom(current)) || next.bom),
+            Bom.join(next.text, Boolean(current && Bom.has(current)) || next.bom),
           )
           return writeResult(input.target, current !== undefined)
         }),
@@ -172,20 +173,6 @@ const layer = Layer.effect(
   }),
 )
 
-function splitBom(text: string) {
-  const stripped = text.replace(/^\uFEFF+/, "")
-  return { bom: stripped.length !== text.length, text: stripped }
-}
-
-function joinBom(text: string, bom: boolean) {
-  const stripped = splitBom(text).text
-  return bom ? `\uFEFF${stripped}` : stripped
-}
-
-function hasUtf8Bom(content: Uint8Array) {
-  return content[0] === 0xef && content[1] === 0xbb && content[2] === 0xbf
-}
-
 function sameBytes(left: Uint8Array, right: Uint8Array) {
   if (left.length !== right.length) return false
   return left.every((byte, index) => byte === right[index])

packages/core/src/filesystem/location-watcher.ts

@@ -47,13 +47,12 @@ const layer = Layer.effect(
       const home = path.resolve(location.directory) === path.resolve(os.homedir())
 
       if (!home && location.vcs) {
-        yield* watcher
-          .subscribe({
-            path: location.directory,
-            type: "directory",
-            ignore: [...Ignore.PATTERNS, ...config, ...protecteds(location.directory)],
-          })
-          .pipe(Stream.runForEach(publish), Effect.forkScoped)
+        const updates = yield* watcher.subscribe({
+          path: location.directory,
+          type: "directory",
+          ignore: [...Ignore.PATTERNS, ...config, ...protecteds(location.directory)],
+        })
+        yield* updates.pipe(Stream.runForEach(publish), Effect.forkScoped)
       }
       if (home) {
         yield* Effect.logInfo("location watcher skipped home directory", { directory: location.directory })
@@ -68,9 +67,8 @@ const layer = Layer.effect(
           const ignore = (yield* fs.readDirectoryEntries(vcs).pipe(Effect.catch(() => Effect.succeed([])))).flatMap(
             (entry) => (entry.name === "HEAD" ? [] : [entry.name]),
           )
-          yield* watcher
-            .subscribe({ path: vcs, type: "directory", ignore })
-            .pipe(Stream.runForEach(publish), Effect.forkScoped)
+          const updates = yield* watcher.subscribe({ path: vcs, type: "directory", ignore })
+          yield* updates.pipe(Stream.runForEach(publish), Effect.forkScoped)
         }
       }
     }).pipe(

packages/core/src/filesystem/watcher.ts

@@ -59,7 +59,7 @@ export interface NativeInterface {
 export class Native extends Context.Service<Native, NativeInterface>()("@opencode/Watcher/Native") {}
 
 export interface Interface {
-  readonly subscribe: (input: WatchInput) => Stream.Stream<Update>
+  readonly subscribe: (input: WatchInput) => Effect.Effect<Stream.Stream<Update>>
 }
 
 export const Options = Schema.Struct({
@@ -83,7 +83,7 @@ export const layer = (options?: Options) =>
     Service,
     Effect.gen(function* () {
       if (options?.enabled === false) {
-        return Service.of({ subscribe: () => Stream.empty })
+        return Service.of({ subscribe: () => Effect.succeed(Stream.empty) })
       }
       const native = yield* Native
 
@@ -131,11 +131,19 @@ export const layer = (options?: Options) =>
       const subscribe = (input: WatchInput) => {
         const target = path.resolve(input.path)
         const ignore = [...new Set(input.type === "directory" ? (input.ignore ?? []) : [])].toSorted()
-        return Stream.unwrap(
-          RcMap.get(watchers, { type: input.type, target, ignore }).pipe(
-            Effect.map((pubsub) => Stream.fromPubSub(pubsub)),
-          ),
-        )
+        return Effect.gen(function* () {
+          yield* Effect.logInfo("watcher subscribe", {
+            path: target,
+            type: input.type,
+            ignores: ignore.length,
+          })
+          return Stream.unwrap(
+            Effect.gen(function* () {
+              const pubsub = yield* RcMap.get(watchers, { type: input.type, target, ignore })
+              return Stream.fromPubSub(pubsub)
+            }),
+          )
+        })
       }
 
       return Service.of({ subscribe })

packages/core/src/formatter.ts

@@ -0,0 +1,157 @@
+export * as Formatter from "./formatter"
+
+import { Context, Effect, Layer, Schema } from "effect"
+import { ChildProcess } from "effect/unstable/process"
+import path from "path"
+import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
+import { FSUtil } from "@opencode-ai/util/fs-util"
+import { Npm } from "@opencode-ai/util/npm"
+import { AppProcess } from "@opencode-ai/util/process"
+import { Config } from "./config"
+import { Location } from "./location"
+import { make, type Info } from "./formatter/builtins"
+
+export const Status = Schema.Struct({
+  name: Schema.String,
+  extensions: Schema.Array(Schema.String),
+  enabled: Schema.Boolean,
+}).annotate({ identifier: "FormatterStatus" })
+export type Status = typeof Status.Type
+
+export interface Interface {
+  readonly init: () => Effect.Effect<void>
+  readonly status: () => Effect.Effect<Status[]>
+  readonly file: (filepath: string) => Effect.Effect<boolean>
+}
+
+export class Service extends Context.Service<Service, Interface>()("@opencode/v2/Formatter") {}
+
+const layer = Layer.effect(
+  Service,
+  Effect.gen(function* () {
+    const config = yield* Config.Service
+    const fs = yield* FSUtil.Service
+    const location = yield* Location.Service
+    const npm = yield* Npm.Service
+    const processes = yield* AppProcess.Service
+    const commands = new Map<string, string[] | false>()
+    let formatters: Info[] = []
+
+    const load = yield* Effect.cached(
+      Effect.gen(function* () {
+        const configured = Config.latest(yield* config.entries(), "formatter")
+        if (!configured) {
+          yield* Effect.logInfo("all formatters are disabled")
+          return
+        }
+
+        const builtIns = make({
+          directory: location.directory,
+          worktree: location.project.directory,
+          fs,
+          npm,
+          processes,
+        })
+        formatters = builtIns
+        if (configured === true) return
+        if (configured.ruff?.disabled || configured.uv?.disabled) {
+          formatters = formatters.filter((formatter) => formatter.name !== "ruff" && formatter.name !== "uv")
+        }
+
+        for (const [name, entry] of Object.entries(configured)) {
+          const index = formatters.findIndex((formatter) => formatter.name === name)
+          if (entry.disabled) {
+            if (index !== -1) formatters.splice(index, 1)
+            continue
+          }
+
+          const builtIn = builtIns.find((formatter) => formatter.name === name)
+          const formatter: Info = {
+            name,
+            extensions: entry.extensions ?? builtIn?.extensions ?? [],
+            environment: { ...builtIn?.environment, ...entry.environment },
+            enabled:
+              builtIn && !entry.command ? builtIn.enabled : Effect.succeed(entry.command ? [...entry.command] : false),
+          }
+          if (index === -1) formatters.push(formatter)
+          else formatters[index] = formatter
+        }
+      }).pipe(Effect.withSpan("Formatter.load")),
+    )
+
+    const command = Effect.fnUntraced(function* (formatter: Info) {
+      const cached = commands.get(formatter.name)
+      if (cached !== undefined) return cached
+      const result = yield* formatter.enabled
+      if (result !== false) commands.set(formatter.name, result)
+      return result
+    })
+
+    const init = Effect.fn("Formatter.init")(function* () {
+      yield* load
+    })
+
+    const status = Effect.fn("Formatter.status")(function* () {
+      yield* load
+      return yield* Effect.forEach(formatters, (formatter) =>
+        command(formatter).pipe(
+          Effect.map((enabled) => ({
+            name: formatter.name,
+            extensions: [...formatter.extensions],
+            enabled: enabled !== false,
+          })),
+        ),
+      )
+    })
+
+    const file = Effect.fn("Formatter.file")(function* (filepath: string) {
+      yield* load
+      const matching = formatters.filter((formatter) =>
+        formatter.extensions.includes(path.extname(filepath)),
+      )
+
+      for (const formatter of matching) {
+        const enabled = yield* command(formatter)
+        if (enabled === false) continue
+        const cmd = enabled.map((argument) => argument.replace("$FILE", filepath))
+        yield* Effect.logInfo("formatting file", { file: filepath, command: cmd })
+        const result = yield* processes
+          .run(
+            ChildProcess.make(cmd[0], cmd.slice(1), {
+              cwd: location.directory,
+              env: formatter.environment,
+              extendEnv: true,
+              stdin: "ignore",
+              stdout: "ignore",
+              stderr: "ignore",
+            }),
+          )
+          .pipe(
+            Effect.catch((error) =>
+              Effect.logError("failed to format file", {
+                file: filepath,
+                command: cmd,
+                error: error.message,
+              }).pipe(Effect.as(undefined)),
+            ),
+          )
+        if (!result) continue
+        if (result.exitCode === 0) return true
+        yield* Effect.logError("formatter exited unsuccessfully", {
+          file: filepath,
+          command: cmd,
+          exitCode: result.exitCode,
+        })
+      }
+      return false
+    })
+
+    return Service.of({ init, status, file })
+  }),
+)
+
+export const node = makeLocationNode({
+  service: Service,
+  layer,
+  deps: [Config.node, FSUtil.node, Location.node, Npm.node, AppProcess.node],
+})

packages/core/src/formatter/builtins.ts

@@ -0,0 +1,315 @@
+import { Effect } from "effect"
+import { ChildProcess } from "effect/unstable/process"
+import { FSUtil } from "@opencode-ai/util/fs-util"
+import { Npm } from "@opencode-ai/util/npm"
+import { AppProcess } from "@opencode-ai/util/process"
+import { which } from "../util/which"
+
+export interface Info {
+  readonly name: string
+  readonly environment?: Record<string, string>
+  readonly extensions: readonly string[]
+  readonly enabled: Effect.Effect<string[] | false>
+}
+
+export function make(input: {
+  readonly directory: string
+  readonly worktree: string
+  readonly fs: FSUtil.Interface
+  readonly npm: Npm.Interface
+  readonly processes: AppProcess.Interface
+  readonly experimentalOxfmt?: boolean
+}) {
+  const disabled = false as const
+  const findUp = (target: string) => input.fs.findUp(target, input.directory, input.worktree)
+  const readText = (file: string) => input.fs.readFileString(file).pipe(Effect.orElseSucceed(() => ""))
+  const commandOutput = (command: string[]) =>
+    input.processes
+      .run(
+        ChildProcess.make(command[0], command.slice(1), {
+          cwd: input.directory,
+          extendEnv: true,
+          stdin: "ignore",
+        }),
+      )
+      .pipe(Effect.option)
+
+  const gofmt: Info = {
+    name: "gofmt",
+    extensions: [".go"],
+    enabled: Effect.sync(() => {
+      const match = which("gofmt")
+      return match ? [match, "-w", "$FILE"] : disabled
+    }),
+  }
+
+  const mix: Info = {
+    name: "mix",
+    extensions: [".ex", ".exs", ".eex", ".heex", ".leex", ".neex", ".sface"],
+    enabled: Effect.sync(() => {
+      const match = which("mix")
+      return match ? [match, "format", "$FILE"] : disabled
+    }),
+  }
+
+  const prettier: Info = {
+    name: "prettier",
+    environment: { BUN_BE_BUN: "1" },
+    extensions: [
+      ".js",
+      ".jsx",
+      ".mjs",
+      ".cjs",
+      ".ts",
+      ".tsx",
+      ".mts",
+      ".cts",
+      ".html",
+      ".htm",
+      ".css",
+      ".scss",
+      ".sass",
+      ".less",
+      ".vue",
+      ".svelte",
+      ".json",
+      ".jsonc",
+      ".yaml",
+      ".yml",
+      ".toml",
+      ".xml",
+      ".md",
+      ".mdx",
+      ".graphql",
+      ".gql",
+    ],
+    enabled: Effect.gen(function* () {
+      for (const file of yield* findUp("package.json")) {
+        if (!hasDependency(yield* input.fs.readJson(file), "prettier")) continue
+        const bin = yield* input.npm.which("prettier")
+        if (bin) return [bin, "--write", "$FILE"]
+      }
+      return disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const oxfmt: Info = {
+    name: "oxfmt",
+    environment: { BUN_BE_BUN: "1" },
+    extensions: [".js", ".jsx", ".mjs", ".cjs", ".ts", ".tsx", ".mts", ".cts"],
+    enabled: Effect.gen(function* () {
+      for (const file of yield* findUp("package.json")) {
+        if (!hasDependency(yield* input.fs.readJson(file), "oxfmt")) continue
+        const bin = yield* input.npm.which("oxfmt")
+        if (bin) return [bin, "$FILE"]
+      }
+      return disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const biome: Info = {
+    name: "biome",
+    environment: { BUN_BE_BUN: "1" },
+    extensions: [
+      ".js",
+      ".jsx",
+      ".mjs",
+      ".cjs",
+      ".ts",
+      ".tsx",
+      ".mts",
+      ".cts",
+      ".html",
+      ".htm",
+      ".css",
+      ".scss",
+      ".sass",
+      ".less",
+      ".vue",
+      ".svelte",
+      ".json",
+      ".jsonc",
+      ".yaml",
+      ".yml",
+      ".toml",
+      ".xml",
+      ".md",
+      ".mdx",
+      ".graphql",
+      ".gql",
+    ],
+    enabled: Effect.gen(function* () {
+      const found = yield* Effect.forEach(["biome.json", "biome.jsonc"], findUp, { concurrency: "unbounded" })
+      if (!found.some((items) => items.length > 0)) return disabled
+      const bin = yield* input.npm.which("@biomejs/biome")
+      return bin ? [bin, "format", "--write", "$FILE"] : disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const zig: Info = {
+    name: "zig",
+    extensions: [".zig", ".zon"],
+    enabled: Effect.sync(() => {
+      const match = which("zig")
+      return match ? [match, "fmt", "$FILE"] : disabled
+    }),
+  }
+
+  const clang: Info = {
+    name: "clang-format",
+    extensions: [".c", ".cc", ".cpp", ".cxx", ".c++", ".h", ".hh", ".hpp", ".hxx", ".h++", ".ino", ".C", ".H"],
+    enabled: Effect.gen(function* () {
+      if (!(yield* findUp(".clang-format")).length) return disabled
+      const match = which("clang-format")
+      return match ? [match, "-i", "$FILE"] : disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const ktlint: Info = {
+    name: "ktlint",
+    extensions: [".kt", ".kts"],
+    enabled: Effect.sync(() => {
+      const match = which("ktlint")
+      return match ? [match, "-F", "$FILE"] : disabled
+    }),
+  }
+
+  const ruff: Info = {
+    name: "ruff",
+    extensions: [".py", ".pyi"],
+    enabled: Effect.gen(function* () {
+      if (!which("ruff")) return disabled
+      for (const config of ["pyproject.toml", "ruff.toml", ".ruff.toml"]) {
+        const found = yield* findUp(config)
+        if (!found.length) continue
+        if (config !== "pyproject.toml" || (yield* readText(found[0])).includes("[tool.ruff]")) {
+          return ["ruff", "format", "$FILE"]
+        }
+      }
+      for (const dependency of ["requirements.txt", "pyproject.toml", "Pipfile"]) {
+        const found = yield* findUp(dependency)
+        if (found.length && (yield* readText(found[0])).includes("ruff")) return ["ruff", "format", "$FILE"]
+      }
+      return disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const air: Info = {
+    name: "air",
+    extensions: [".R"],
+    enabled: Effect.gen(function* () {
+      const bin = which("air")
+      if (!bin) return disabled
+      const output = yield* commandOutput([bin, "--help"])
+      if (output._tag === "None" || output.value.exitCode !== 0) return disabled
+      const first = output.value.stdout.toString("utf8").split("\n")[0]
+      return first.includes("R language") && first.includes("formatter") ? [bin, "format", "$FILE"] : disabled
+    }),
+  }
+
+  const uv: Info = {
+    name: "uv",
+    extensions: [".py", ".pyi"],
+    enabled: Effect.gen(function* () {
+      const bin = which("uv")
+      if (!bin) return disabled
+      const output = yield* commandOutput([bin, "format", "--help"])
+      return output._tag === "Some" && output.value.exitCode === 0
+        ? [bin, "format", "--", "$FILE"]
+        : disabled
+    }),
+  }
+
+  const rubocop = executable("rubocop", [".rb", ".rake", ".gemspec", ".ru"], ["--autocorrect", "$FILE"])
+  const standardrb = executable("standardrb", [".rb", ".rake", ".gemspec", ".ru"], ["--fix", "$FILE"])
+  const htmlbeautifier = executable("htmlbeautifier", [".erb", ".html.erb"], ["$FILE"])
+  const dart = executable("dart", [".dart"], ["format", "$FILE"])
+
+  const ocamlformat: Info = {
+    name: "ocamlformat",
+    extensions: [".ml", ".mli"],
+    enabled: Effect.gen(function* () {
+      if (!(yield* findUp(".ocamlformat")).length) return disabled
+      const match = which("ocamlformat")
+      return match ? [match, "-i", "$FILE"] : disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const terraform = executable("terraform", [".tf", ".tfvars"], ["fmt", "$FILE"])
+  const latexindent = executable("latexindent", [".tex"], ["-w", "-s", "$FILE"])
+  const gleam = executable("gleam", [".gleam"], ["format", "$FILE"])
+  const shfmt = executable("shfmt", [".sh", ".bash"], ["-w", "$FILE"])
+  const nixfmt = executable("nixfmt", [".nix"], ["$FILE"])
+  const rustfmt = executable("rustfmt", [".rs"], ["$FILE"])
+
+  const pint: Info = {
+    name: "pint",
+    extensions: [".php"],
+    enabled: Effect.gen(function* () {
+      for (const file of yield* findUp("composer.json")) {
+        const json = yield* input.fs.readJson(file)
+        if (hasRecordKey(json, "require", "laravel/pint") || hasRecordKey(json, "require-dev", "laravel/pint")) {
+          return ["./vendor/bin/pint", "$FILE"]
+        }
+      }
+      return disabled
+    }).pipe(Effect.orElseSucceed(() => disabled)),
+  }
+
+  const ormolu = executable("ormolu", [".hs"], ["-i", "$FILE"])
+  const cljfmt = executable("cljfmt", [".clj", ".cljs", ".cljc", ".edn"], ["fix", "--quiet", "$FILE"])
+  const dfmt = executable("dfmt", [".d"], ["-i", "$FILE"])
+
+  return [
+    gofmt,
+    mix,
+    oxfmt,
+    prettier,
+    biome,
+    zig,
+    clang,
+    ktlint,
+    ruff,
+    air,
+    uv,
+    rubocop,
+    standardrb,
+    htmlbeautifier,
+    dart,
+    ocamlformat,
+    terraform,
+    latexindent,
+    gleam,
+    shfmt,
+    nixfmt,
+    rustfmt,
+    pint,
+    ormolu,
+    cljfmt,
+    dfmt,
+  ] satisfies Info[]
+}
+
+function executable(name: string, extensions: readonly string[], args: string[]): Info {
+  return {
+    name,
+    extensions,
+    enabled: Effect.sync(() => {
+      const match = which(name)
+      return match ? [match, ...args] : false
+    }),
+  }
+}
+
+function hasDependency(input: unknown, dependency: string) {
+  return hasRecordKey(input, "dependencies", dependency) || hasRecordKey(input, "devDependencies", dependency)
+}
+
+function hasRecordKey(input: unknown, field: string, key: string) {
+  if (!isRecord(input)) return false
+  return isRecord(input[field]) && key in input[field]
+}
+
+function isRecord(input: unknown): input is Record<string, unknown> {
+  return Boolean(input && typeof input === "object" && !Array.isArray(input))
+}

packages/core/src/location-services.ts

@@ -8,6 +8,7 @@ import { LayerNode } from "@opencode-ai/util/effect/layer-node"
 import { Node } from "@opencode-ai/util/effect/app-node"
 import { Bus } from "./bus"
 import { FileMutation } from "./file-mutation"
+import { Formatter } from "./formatter"
 import { FileSystem } from "./filesystem"
 import { FileSystemSearch } from "./filesystem/search"
 import { Generate } from "./generate"
@@ -73,6 +74,7 @@ const locationServiceNodes = [
   InstructionDiscovery.node,
   LocationMutation.node,
   FileMutation.node,
+  Formatter.node,
   MCP.node,
   Permission.node,
   Tool.node,