fix(console): complete Go login readiness

Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>

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

@@ -0,0 +1,13 @@
+import type { Context } from "../../../packages/plugin/src/tui/context"
+
+export default {
+  id: "test.tui-discovery-smoke",
+  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

@@ -147,6 +147,11 @@
         "ws": "8.21.0",
       },
       "devDependencies": {
+        "@ff-labs/fff-bin-darwin-arm64": "0.10.1",
+        "@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1",
+        "@ff-labs/fff-bin-linux-x64-gnu": "0.10.1",
+        "@ff-labs/fff-bin-win32-arm64": "0.10.1",
+        "@ff-labs/fff-bin-win32-x64": "0.10.1",
         "@lydell/node-pty-darwin-arm64": "1.2.0-beta.12",
         "@lydell/node-pty-darwin-x64": "1.2.0-beta.12",
         "@lydell/node-pty-linux-arm64": "1.2.0-beta.12",
@@ -164,6 +169,11 @@
         "@types/bun": "catalog:",
         "@types/semver": "catalog:",
         "@typescript/native-preview": "catalog:",
+        "@yuuang/ffi-rs-darwin-arm64": "1.3.2",
+        "@yuuang/ffi-rs-linux-arm64-gnu": "1.3.2",
+        "@yuuang/ffi-rs-linux-x64-gnu": "1.3.2",
+        "@yuuang/ffi-rs-win32-arm64-msvc": "1.3.2",
+        "@yuuang/ffi-rs-win32-x64-msvc": "1.3.2",
         "vite": "catalog:",
         "vite-plugin-solid": "catalog:",
       },
@@ -364,6 +374,7 @@
         "@effect/platform-node": "catalog:",
         "@effect/sql-sqlite-bun": "catalog:",
         "@ff-labs/fff-bun": "0.10.1",
+        "@ff-labs/fff-node": "0.10.1",
         "@lydell/node-pty": "catalog:",
         "@modelcontextprotocol/sdk": "1.29.0",
         "@opencode-ai/ai": "workspace:*",
@@ -589,6 +600,7 @@
         "zod": "catalog:",
       },
       "devDependencies": {
+        "@opencode-ai/theme": "workspace:*",
         "@opentui/core": "catalog:",
         "@opentui/keymap": "catalog:",
         "@opentui/solid": "catalog:",
@@ -596,17 +608,22 @@
         "@tsconfig/node22": "catalog:",
         "@types/node": "catalog:",
         "@typescript/native-preview": "catalog:",
+        "solid-js": "catalog:",
         "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",
+        "solid-js",
       ],
     },
     "packages/protocol": {
@@ -1693,6 +1710,8 @@
 
     "@ff-labs/fff-bun": ["@ff-labs/fff-bun@0.10.1", "", { "optionalDependencies": { "@ff-labs/fff-bin-android-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-x64": "0.10.1", "@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-arm64-musl": "0.10.1", "@ff-labs/fff-bin-linux-x64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-x64-musl": "0.10.1", "@ff-labs/fff-bin-win32-arm64": "0.10.1", "@ff-labs/fff-bin-win32-x64": "0.10.1" }, "os": [ "!aix", "!sunos", "!freebsd", "!openbsd", ], "cpu": [ "x64", "arm64", ] }, "sha512-9oUCxypGbf2q3vNfKZ31wdzt5KqjhA9S6TwQaFol/j1lkSHVGvtIa3RvdGHPs1UUuvR/MO7b6pHj054BR9bXPQ=="],
 
+    "@ff-labs/fff-node": ["@ff-labs/fff-node@0.10.1", "", { "dependencies": { "ffi-rs": "^1.0.0" }, "optionalDependencies": { "@ff-labs/fff-bin-android-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-arm64": "0.10.1", "@ff-labs/fff-bin-darwin-x64": "0.10.1", "@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-arm64-musl": "0.10.1", "@ff-labs/fff-bin-linux-x64-gnu": "0.10.1", "@ff-labs/fff-bin-linux-x64-musl": "0.10.1", "@ff-labs/fff-bin-win32-arm64": "0.10.1", "@ff-labs/fff-bin-win32-x64": "0.10.1" }, "os": [ "!aix", "!sunos", "!freebsd", "!openbsd", ], "cpu": [ "x64", "arm64", ] }, "sha512-I2TIWHkey4wpLCncUQymBz/yWrjp/TE91yjrPvSLaPMUMRf3wXwEmelGNnZ5ynxy3cUauYg5b5hsUwhOK4skfA=="],
+
     "@floating-ui/core": ["@floating-ui/core@1.8.0", "", { "dependencies": { "@floating-ui/utils": "^0.2.12" } }, "sha512-0CIZ5itps/8x7BG8dEIhs53BvCUH2PCoogtakwRTut+Arm58sJooJ0AuZhLw2HJYIR5cMLNPBSS728sPho2khQ=="],
 
     "@floating-ui/dom": ["@floating-ui/dom@1.8.0", "", { "dependencies": { "@floating-ui/core": "^1.8.0", "@floating-ui/utils": "^0.2.12" } }, "sha512-yXSrzeHZBTZadLOlfyhCkJHNeLJnHRnRInwdZ40L7ZiaAtrBwoYlsDrX3v5zB1Utk7CLfzcOVnVVWoXEky7Ceg=="],
@@ -3269,6 +3288,28 @@
 
     "@xmldom/xmldom": ["@xmldom/xmldom@0.8.13", "", {}, "sha512-KRYzxepc14G/CEpEGc3Yn+JKaAeT63smlDr+vjB8jRfgTBBI9wRj/nkQEO+ucV8p8I9bfKLWp37uHgFrbntPvw=="],
 
+    "@yuuang/ffi-rs-android-arm64": ["@yuuang/ffi-rs-android-arm64@1.3.2", "", { "os": "android", "cpu": "arm64" }, "sha512-eDYLT0kVBkp7e2BwdRDmt6N1rkeDPUHDefk3ZX0/nok+GLsqfy1WBoSL3Yg7HVXN1EyW8OBVc2uK8Zq8HbmaSA=="],
+
+    "@yuuang/ffi-rs-darwin-arm64": ["@yuuang/ffi-rs-darwin-arm64@1.3.2", "", { "os": "darwin", "cpu": "arm64" }, "sha512-kRdgPaOM6TfuC5wHUwstlatk4HNie2lwSLJWQL2LiAUIJ7+96CoiWUNVhwBcFrhdfxhnWenYS6F668CV0vit8Q=="],
+
+    "@yuuang/ffi-rs-darwin-x64": ["@yuuang/ffi-rs-darwin-x64@1.3.2", "", { "os": "darwin", "cpu": "x64" }, "sha512-O3AlVgre8FQcZRJe44Xs7A6iDLumoPXqbw40+eJCa2gyXaXyLPdHoWrS1W9rBCa1QZRRnG7zRulPVFw8C5uo8g=="],
+
+    "@yuuang/ffi-rs-linux-arm-gnueabihf": ["@yuuang/ffi-rs-linux-arm-gnueabihf@1.3.2", "", { "os": "linux", "cpu": "arm" }, "sha512-IXiNdTbIcTCPny5eeElijFWYeKSJjQWSjt9ZyJNdLHYiB1Np+XD6K7wNZS6EOMgMelhW1kQE62T654skGkVDIA=="],
+
+    "@yuuang/ffi-rs-linux-arm64-gnu": ["@yuuang/ffi-rs-linux-arm64-gnu@1.3.2", "", { "os": "linux", "cpu": "arm64" }, "sha512-gWFO6xufUK9lPYUqDvKa6IR243dPqdetgl9Q7HrZWaDu7wLo06QQrosw8QTzndafQnOcBKm6LoLujmGCfTgJOA=="],
+
+    "@yuuang/ffi-rs-linux-arm64-musl": ["@yuuang/ffi-rs-linux-arm64-musl@1.3.2", "", { "os": "linux", "cpu": "arm64" }, "sha512-lejvOSqypPziQH5rzfkDlJ6e92qhWbDutE9ttOO6z5I2k83zoh9iZhZWhaXSU5VqgQpcshRkrbtXb9gy1ft5dA=="],
+
+    "@yuuang/ffi-rs-linux-x64-gnu": ["@yuuang/ffi-rs-linux-x64-gnu@1.3.2", "", { "os": "linux", "cpu": "x64" }, "sha512-s8VCFazaJKmgY2hgMTpWk4TtBY/zy5ovbaGgwyY0FvBD0YvyhcET4IrMsDJpHhFVTPCYfKZ1dN45clD/YiFp6g=="],
+
+    "@yuuang/ffi-rs-linux-x64-musl": ["@yuuang/ffi-rs-linux-x64-musl@1.3.2", "", { "os": "linux", "cpu": "x64" }, "sha512-Ahr5chfKZKWUik20bEZRug+be57LZ2yYrtolyjSRoo7A4ZniBUHBZUNWm6TD6i0CJayqyxWeVk/XiaABD8bY0w=="],
+
+    "@yuuang/ffi-rs-win32-arm64-msvc": ["@yuuang/ffi-rs-win32-arm64-msvc@1.3.2", "", { "os": "win32", "cpu": "arm64" }, "sha512-yhpLcj0qel5VNlpzxPZfNmi7+rEX8444QHjUP6WWLxdRfqPllROu/Cp3OpkBpw3BLdxfcDhWkjWMD5QsJN0Pvg=="],
+
+    "@yuuang/ffi-rs-win32-ia32-msvc": ["@yuuang/ffi-rs-win32-ia32-msvc@1.3.2", "", { "os": "win32", "cpu": [ "x64", "ia32", ] }, "sha512-BFVSbdtg/7mJBw5kQFOPKFiA+SF7z3240HpzHN81Umm4Bp4dWkyx0msYn8+Q7/BBJiLQ4F6bi3Nftk58YA9r9w=="],
+
+    "@yuuang/ffi-rs-win32-x64-msvc": ["@yuuang/ffi-rs-win32-x64-msvc@1.3.2", "", { "os": "win32", "cpu": "x64" }, "sha512-ZL5MJ76n2rjwGo26kCWW7wK6QT/cee00Rx8pfW79pz6vM6jqfhoE7zTnwFiw4aOQUes9+HUc5DeeJ3z+Vb9oLg=="],
+
     "@zip.js/zip.js": ["@zip.js/zip.js@2.7.62", "", {}, "sha512-OaLvZ8j4gCkLn048ypkZu29KX30r8/OfFF2w4Jo5WXFr+J04J+lzJ5TKZBVgFXhlvSkqNFQdfnY1Q8TMTCyBVA=="],
 
     "abbrev": ["abbrev@4.0.0", "", {}, "sha512-a1wflyaL0tHtJSmLSOVybYhy22vRih4eduhhrkcjgrWGnRfrZtovJ2FRjxuTtkkj47O/baf0R86QU5OuYpz8fA=="],
@@ -4033,6 +4074,8 @@
 
     "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=="],
+
     "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=="],

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,
+// enabled at a time so the tutorial can demonstrate generate, stream, or
-// or tool-loop behavior without spending tokens on every example.
+// 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>>(
+export function generateObject<const SelectedModel extends Model, S extends ToolSchema<any>>(
-  options: GenerateObjectOptions<S>,
+  options: GenerateObjectOptions<S, SelectedModel>,
 ): Effect.Effect<GenerateObjectResponse<Schema.Schema.Type<S>>, LLMError>
-export function generateObject(
+export function generateObject<const SelectedModel extends Model>(
-  options: GenerateObjectDynamicOptions,
+  options: GenerateObjectDynamicOptions<SelectedModel>,
 ): Effect.Effect<GenerateObjectResponse<unknown>, LLMError>
 export function generateObject(options: GenerateObjectOptions<ToolSchema<any>> | GenerateObjectDynamicOptions) {
   if ("schema" in options) {

packages/ai/src/provider-error.ts

@@ -135,7 +135,7 @@ export function classifyProviderFailure(input: ProviderFailure): LLMError["reaso
       rateLimit: input.rateLimit,
     })
   }
-  if (input.status !== undefined && input.status >= 500)
+  if (input.status === 408 || input.status === 409 || (input.status !== undefined && input.status >= 500))
     return new ProviderInternalReason({
       ...common,
       status: input.status,
@@ -145,7 +145,6 @@ export function classifyProviderFailure(input: ProviderFailure): LLMError["reaso
   if (
     input.status === 400 ||
     input.status === 404 ||
-    input.status === 409 ||
     input.status === 413 ||
     input.status === 422
   )

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> {
+export interface Definition<
-  readonly model: (modelID: string, settings: ProviderSettings) => Model
+  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) =>
+export const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
-  configure(config(settings)).responses(modelID)
+  modelID,
-export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
+  settings,
-  configure(config(settings)).chat(modelID)
+) => 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 })
+    responsesWebSocketRoute
-  const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ id })
+      .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) =>
+export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
-  configure(config(settings)).chat(modelID)
+  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

@@ -107,7 +107,7 @@ 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,
   }
 }

packages/ai/src/providers/xai.ts

@@ -5,12 +5,14 @@ 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"
 
 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 type { XAIImageOptions } from "../protocols/xai-images"
@@ -42,8 +44,8 @@ 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 responses = (modelID: string | ModelID) => responsesRoute.model<OpenAIProviderOptionsInput>({ id: modelID })
-  const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID })
+  const chat = (modelID: string | ModelID) => chatRoute.model<OpenAIProviderOptionsInput>({ id: modelID })
   const image = (modelID: string | ModelID) =>
     XAIImages.model({
       id: modelID,

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 {
-  return new PreparedRequest({
     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 { ContentBlockID, FinishReason, ProviderMetadata, ToolCallID } from "./ids"
-import { ModelSchema } from "./options"
 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) {
+  static make<Options extends ProviderOptions = ProviderOptions>(input: Model.Input) {
-    return new Model({
+    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* compileRequest(
-      const prepared = yield* llm.prepare(
         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>(
+      const withoutMaxTokens = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
-        LLM.request({ model, prompt: "Say hello.", cache: "none" }),
+      const withMaxTokens = yield* compileRequest(
-      )
-      const withMaxTokens = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
         LLM.request({ model, prompt: "Say hello.", cache: "none", generation: { maxTokens: 32 } }),
       )
 

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-error.test.ts

@@ -58,6 +58,12 @@ describe("provider error classification", () => {
     ).toEqual(["ProviderInternal", "ProviderInternal"])
   })
 
+  test("classifies transient client statuses as provider internal", () => {
+    expect(
+      [408, 409].map((status) => classifyProviderFailure({ message: `HTTP ${status}`, status })._tag),
+    ).toEqual(["ProviderInternal", "ProviderInternal"])
+  })
+
   test("classifies nested provider codes when a top-level code is also present", () => {
     expect(
       [

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/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>(
+        (yield* compileRequest(LLM.request({ model: opus48, messages: [Message.system("First.")], cache: "none" })))
-          LLM.request({ model: opus48, messages: [Message.system("First.")], cache: "none" }),
+          .body.messages,
-        )).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>(
+      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message], cache: "none" }))
-        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>(
+      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message], cache: "none" }))
-        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>(
+          const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
-            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
+      const prepared = yield* compileRequest(request)
-      // 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
 
       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>(
+        const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-          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>(
+      const replay = yield* compileRequest(LLM.request({ model: custom, messages: [response.message] }))
-        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>(
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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>(
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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>(
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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>(
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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>(
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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>(
+      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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>(
+      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-        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-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/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

@@ -56,6 +56,16 @@
     "@lydell/node-pty-linux-x64": "1.2.0-beta.12",
     "@lydell/node-pty-win32-arm64": "1.2.0-beta.12",
     "@lydell/node-pty-win32-x64": "1.2.0-beta.12",
+    "@ff-labs/fff-bin-darwin-arm64": "0.10.1",
+    "@ff-labs/fff-bin-linux-arm64-gnu": "0.10.1",
+    "@ff-labs/fff-bin-linux-x64-gnu": "0.10.1",
+    "@ff-labs/fff-bin-win32-arm64": "0.10.1",
+    "@ff-labs/fff-bin-win32-x64": "0.10.1",
+    "@yuuang/ffi-rs-darwin-arm64": "1.3.2",
+    "@yuuang/ffi-rs-linux-arm64-gnu": "1.3.2",
+    "@yuuang/ffi-rs-linux-x64-gnu": "1.3.2",
+    "@yuuang/ffi-rs-win32-arm64-msvc": "1.3.2",
+    "@yuuang/ffi-rs-win32-x64-msvc": "1.3.2",
     "@parcel/watcher-darwin-arm64": "2.5.1",
     "@parcel/watcher-linux-arm64-glibc": "2.5.1",
     "@parcel/watcher-linux-x64-glibc": "2.5.1",

packages/cli/script/build.ts

@@ -5,6 +5,7 @@ import { rm } from "fs/promises"
 import path from "path"
 import { Script } from "@opencode-ai/script"
 import { createSolidTransformPlugin } from "@opentui/solid/bun-plugin"
+import type { BunPlugin } from "bun"
 import pkg from "../package.json"
 import { modelsData } from "./generate"
 
@@ -22,7 +23,7 @@ await rm(outdir, { recursive: true, force: true })
 const singleFlag = process.argv.includes("--single")
 const baselineFlag = process.argv.includes("--baseline")
 const skipInstall = process.argv.includes("--skip-install")
-const plugin = createSolidTransformPlugin()
+const solidPlugin = createSolidTransformPlugin()
 
 const allTargets: {
   os: string
@@ -55,6 +56,16 @@ const targets = singleFlag
 if (!skipInstall) await $`bun install --os="*" --cpu="*" @opentui/core@${pkg.dependencies["@opentui/core"]}`
 
 for (const item of targets) {
+  const parcelWatcherPackage = `@parcel/watcher-${item.os}-${item.arch}${item.os === "linux" ? `-${item.abi ?? "glibc"}` : ""}`
+  const parcelWatcherPlugin: BunPlugin = {
+    name: "parcel-watcher-binding",
+    setup(build) {
+      build.onLoad({ filter: /filesystem\/watcher-binding\.ts$/ }, () => ({
+        contents: `import binding from ${JSON.stringify(parcelWatcherPackage)}; export default () => binding`,
+        loader: "js",
+      }))
+    },
+  }
   const target = [
     binary,
     item.os === "win32" ? "windows" : item.os,
@@ -69,7 +80,7 @@ for (const item of targets) {
   const result = await Bun.build({
     entrypoints: ["./src/index.ts"],
     tsconfig: "./tsconfig.json",
-    plugins: [plugin],
+    plugins: [solidPlugin, parcelWatcherPlugin],
     external: ["node-gyp"],
     format: "esm",
     minify: true,

packages/cli/script/node-assets.ts

@@ -37,6 +37,8 @@ export async function collectNodeAssets(target: NodeTarget) {
       ...(target.platform === "linux" ? { libc: "glibc" as const } : {}),
     }),
     { key: target.parcelWatcherAsset, source: fileURLToPath(import.meta.resolve(target.parcelWatcherPackage)) },
+    { key: target.fffAsset, source: fileURLToPath(import.meta.resolve(target.fffPackage)) },
+    { key: target.fffFfiAsset, source: fileURLToPath(import.meta.resolve(target.fffFfiPackage)) },
     {
       key: photonWasmAsset,
       source: fileURLToPath(import.meta.resolve(photonWasmAsset)),

packages/cli/script/service-smoke.ts

@@ -13,7 +13,7 @@ const directory = path.join(import.meta.dir, "..", "dist", ...(nodeBuild ? ["nod
 const binary = path.join(directory, `opencode2${nodeBuild ? "-node" : ""}${process.platform === "win32" ? ".exe" : ""}`)
 if (!(await Bun.file(binary).exists())) throw new Error(`Missing compiled CLI in ${directory}`)
 
-const root = await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-smoke-"))
+const root = await fs.realpath(await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-smoke-")))
 const env = {
   ...process.env,
   HOME: root,
@@ -29,6 +29,7 @@ const processes: Array<ReturnType<typeof Bun.spawn>> = []
 const errors: Array<Promise<string>> = []
 let failure: unknown
 try {
+  await fs.mkdir(path.join(root, ".opencode"))
   spawnService()
   spawnService()
   const registration = await waitForRegistration()
@@ -49,6 +50,11 @@ try {
     { signal: AbortSignal.timeout(5_000) },
   )
   if (tokenOpenApi.status !== 200) throw new Error("Compiled application rejected query authentication")
+  if ((await pluginIDs(info.url, headers)).includes("smoke")) throw new Error("Smoke plugin existed before creation")
+  const plugin = path.join(root, ".opencode", "plugins", "smoke.ts")
+  await fs.mkdir(path.dirname(plugin), { recursive: true })
+  await fs.writeFile(plugin, pluginSource())
+  await waitForPlugin(info.url, headers)
 
   const unauthorizedHealth = await fetch(new URL("/api/health", info.url), {
     signal: AbortSignal.timeout(5_000),
@@ -88,6 +94,7 @@ try {
 } finally {
   processes.forEach((process) => process.kill())
   await Promise.all(processes.map((process) => process.exited))
+  if (failure) errors.push(fs.readFile(path.join(root, "data", "opencode", "log", "opencode.log"), "utf8").catch(() => ""))
 }
 
 const output = await Promise.all(errors)
@@ -133,3 +140,31 @@ async function waitForReady(url: string, headers: HeadersInit) {
 function exitsWithin(process: Bun.Subprocess, milliseconds: number) {
   return Promise.race([process.exited.then(() => true), Bun.sleep(milliseconds).then(() => false)])
 }
+
+function pluginSource() {
+  return 'export default { id: "smoke", setup: async () => {} }\n'
+}
+
+async function pluginIDs(url: string, headers: HeadersInit) {
+  const endpoint = new URL("/api/plugin", url)
+  endpoint.searchParams.set("location[directory]", root)
+  const response = await fetch(endpoint, { headers, signal: AbortSignal.timeout(5_000) })
+  const body: unknown = await response.json()
+  if (typeof body !== "object" || body === null || !("data" in body) || !Array.isArray(body.data)) {
+    throw new Error("Compiled service returned an invalid plugin list")
+  }
+  return body.data.flatMap((plugin) =>
+    typeof plugin === "object" && plugin !== null && "id" in plugin && typeof plugin.id === "string"
+      ? [plugin.id]
+      : [],
+  )
+}
+
+async function waitForPlugin(url: string, headers: HeadersInit) {
+  const deadline = Date.now() + 10_000
+  while (Date.now() < deadline) {
+    if ((await pluginIDs(url, headers)).includes("smoke")) return
+    await Bun.sleep(25)
+  }
+  throw new Error("Compiled service did not discover the created plugin")
+}

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

@@ -11,6 +11,8 @@ export function nodeTarget(platform: string, arch: string) {
   const targetArch = arch as "arm64" | "x64"
   const nodePtyPackage = `@lydell/node-pty-${targetPlatform}-${targetArch}`
   const parcelWatcherPackage = `@parcel/watcher-${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-glibc" : ""}`
+  const fffPackage = `@ff-labs/fff-bin-${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-gnu" : ""}`
+  const fffFfiPackage = `@yuuang/ffi-rs-${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-gnu" : targetPlatform === "win32" ? "-msvc" : ""}`
 
   return {
     platform: targetPlatform,
@@ -19,6 +21,10 @@ export function nodeTarget(platform: string, arch: string) {
     nodePtyEntryAsset: `${nodePtyPackage}/lib/index.js`,
     parcelWatcherPackage,
     parcelWatcherAsset: `${parcelWatcherPackage}/watcher.node`,
+    fffPackage,
+    fffAsset: `${fffPackage}/${targetPlatform === "darwin" ? "libfff_c.dylib" : targetPlatform === "win32" ? "fff_c.dll" : "libfff_c.so"}`,
+    fffFfiPackage,
+    fffFfiAsset: `${fffFfiPackage}/ffi-rs.${targetPlatform}-${targetArch}${targetPlatform === "linux" ? "-gnu" : targetPlatform === "win32" ? "-msvc" : ""}.node`,
   }
 }
 

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) => {
+      ? await input.client.session
-          throw new SessionTargetMutationError(error)
+          .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

@@ -30,6 +30,44 @@ function runtimeRequirePlugin(): Plugin {
   }
 }
 
+function fffNodePlugin(): Plugin {
+  return {
+    name: "opencode:fff-node",
+    enforce: "pre",
+    transform(code, id) {
+      const normalized = id.replaceAll("\\", "/")
+      if (normalized.endsWith("/ffi-rs/index.js")) {
+        const start = code.indexOf("if (!nativeBinding) {")
+        if (start === -1) this.error("Failed to rewrite ffi-rs native binding loader")
+        return `const unavailable = () => { throw new Error("ffi-rs native binding unavailable") }
+const nativeBinding = globalThis.__OPENCODE_FFF_FFI ?? {
+  DataType: new Proxy({}, { get: (target, key) => target[key] ?? key }),
+  PointerType: {},
+  FFITypeTag: {},
+  open: unavailable,
+  close: unavailable,
+  load: unavailable,
+  isNullPointer: unavailable,
+  createPointer: unavailable,
+  restorePointer: unavailable,
+  unwrapPointer: unavailable,
+  wrapPointer: unavailable,
+  freePointer: unavailable,
+}
+const loadError = undefined
+${code.slice(start)}`
+      }
+      if (!normalized.endsWith("/fff-node/dist/src/binary.js")) return
+      const transformed = code.replace(
+        "export function findBinary() {",
+        "export function findBinary() { if (process.env.FFF_BINARY_PATH) return process.env.FFF_BINARY_PATH;",
+      )
+      if (transformed === code) this.error("Failed to rewrite FFF binary loader")
+      return transformed
+    },
+  }
+}
+
 const resolve = {
   alias: [
     { find: /^solid-js\/store$/, replacement: "solid-js/store/dist/store.js" },
@@ -156,6 +194,11 @@ 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.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 {
+  globalThis.__OPENCODE_FFF_FFI = require(process.env.OPENCODE_FFF_FFI_PATH)
+} catch {}
 globalThis.__OPENCODE_PHOTON_WASM_PATH = process.env.OPENCODE_PHOTON_WASM_PATH
 if (process.platform === "linux") process.env.OPENTUI_LIBC = "glibc"`
 }
@@ -174,6 +217,7 @@ export function mainConfig(input: NodeBuildInput): UserConfig {
     plugins: [
       rawTextPlugin(),
       runtimeRequirePlugin(),
+      fffNodePlugin(),
       solid({
         solid: {
           generate: "universal",

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 boundary: Session.ForkBoundary
-            readonly from?: SessionMessage.ID | undefined
+            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 = {
+export type SessionPendingCompaction = { id: string; sessionID: string; timeCreated: number; type: "compaction" }
-  admittedSeq: number
-  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/console/app/src/i18n/ar.ts

@@ -264,8 +264,7 @@ export const dict = {
   "go.cta.text": "اشترك في Go",
   "go.cta.price": "$10/شهر",
   "go.cta.promo": "$5 للشهر الأول",
-  "go.pricing.body":
+  "go.pricing.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر.",
-    "استخدمه مع أي وكيل. $5 للشهر الأول، ثم $10/شهر. قم بزيادة الرصيد إذا لزم الأمر. الإلغاء في أي وقت.",
   "go.graph.free": "مجاني",
   "go.graph.freePill": "Big Pickle ونماذج مجانية",
   "go.graph.go": "Go",
@@ -304,15 +303,15 @@ export const dict = {
   "go.problem.item4":
     "يتضمن Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash وHy3",
   "go.how.title": "كيف يعمل Go",
-  "go.how.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر. يمكنك استخدامه مع OpenCode أو أي وكيل.",
+  "go.how.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر.",
-  "go.how.step1.title": "أنشئ حسابًا",
+  "go.how.step1.title": "اشترك في Go",
-  "go.how.step1.beforeLink": "اتبع",
+  "go.how.step1.beforeLink": "في",
-  "go.how.step1.link": "تعليمات الإعداد",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "اشترك في Go",
+  "go.how.step2.title": "ربط OpenCode",
-  "go.how.step2.link": "$5 للشهر الأول",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "ثم $10/شهر مع حدود سخية",
+  "go.how.step2.afterLink": "ووافق على الجهاز في متصفحك",
   "go.how.step3.title": "ابدأ البرمجة",
-  "go.how.step3.body": "مع وصول موثوق لنماذج مفتوحة المصدر",
+  "go.how.step3.body": "مع مزود opencode",
   "go.privacy.title": "خصوصيتك مهمة بالنسبة لنا",
   "go.privacy.body":
     "تم تصميم الخطة بشكل أساسي للمستخدمين الدوليين، مع استضافة النماذج في الولايات المتحدة والاتحاد الأوروبي وسنغافورة للحصول على وصول عالمي مستقر.",
@@ -344,8 +343,8 @@ export const dict = {
   "go.faq.a6": "إذا كنت بحاجة إلى مزيد من الاستخدام، يمكنك شحن رصيد في حسابك.",
   "go.faq.q7": "هل يمكنني الإلغاء؟",
   "go.faq.a7": "نعم، يمكنك الإلغاء في أي وقت.",
-  "go.faq.q8": "هل يمكنني استخدام Go مع وكلاء برمجة آخرين؟",
+  "go.faq.q8": "ما الوصول المؤجل؟",
-  "go.faq.a8": "نعم، يمكنك استخدام Go مع أي وكيل. اتبع تعليمات الإعداد في وكيل البرمجة المفضل لديك.",
+  "go.faq.a8": "دعم الوكلاء الخارجيين وحسابات الخدمة مؤجل.",
 
   "go.faq.q9": "ما الفرق بين النماذج المجانية وGo؟",
   "go.faq.a9":
@@ -650,8 +649,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "الاستخدام الشهري",
   "workspace.lite.subscription.resetsIn": "إعادة تعيين في",
   "workspace.lite.subscription.useBalance": "استخدم رصيدك المتوفر بعد الوصول إلى حدود الاستخدام",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "اختر مزود opencode لاستخدام نماذج Go.",
-    'اختر "OpenCode Go" كمزود في إعدادات opencode الخاصة بك لاستخدام نماذج Go.',
   "workspace.lite.providers.title": "المزودون",
   "workspace.lite.providers.description": "تحكم في المزودين المستخدمين للتوجيه.",
   "workspace.lite.providers.useChina": "تفعيل النماذج المستضافة في الصين",

packages/console/app/src/i18n/br.ts

@@ -268,8 +268,7 @@ export const dict = {
   "go.cta.text": "Assinar o Go",
   "go.cta.price": "$10/mês",
   "go.cta.promo": "$5 no primeiro mês",
-  "go.pricing.body":
+  "go.pricing.body": "O Go começa em $5 no primeiro mês, depois $10/mês.",
-    "Use com qualquer agente. $5 no primeiro mês, depois $10/mês. Recarregue o crédito se necessário. Cancele a qualquer momento.",
   "go.graph.free": "Grátis",
   "go.graph.freePill": "Big Pickle e modelos gratuitos",
   "go.graph.go": "Go",
@@ -309,16 +308,15 @@ export const dict = {
   "go.problem.item4":
     "Inclui Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3",
   "go.how.title": "Como o Go funciona",
-  "go.how.body":
+  "go.how.body": "O Go começa em $5 no primeiro mês, depois $10/mês.",
-    "O Go começa em $5 no primeiro mês, depois $10/mês. Você pode usá-lo com o OpenCode ou qualquer agente.",
+  "go.how.step1.title": "Assinar o Go",
-  "go.how.step1.title": "Crie uma conta",
+  "go.how.step1.beforeLink": "no",
-  "go.how.step1.beforeLink": "siga as",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "instruções de configuração",
+  "go.how.step2.title": "Conectar o OpenCode",
-  "go.how.step2.title": "Assinar o Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 no primeiro mês",
+  "go.how.step2.afterLink": "e aprove o dispositivo no navegador",
-  "go.how.step2.afterLink": "depois $10/mês com limites generosos",
   "go.how.step3.title": "Comece a codificar",
-  "go.how.step3.body": "com acesso confiável a modelos de código aberto",
+  "go.how.step3.body": "com o provedor opencode",
   "go.privacy.title": "Sua privacidade é importante para nós",
   "go.privacy.body":
     "O plano é projetado principalmente para usuários internacionais, com modelos hospedados nos EUA, UE e Singapura para acesso global estável.",
@@ -351,9 +349,8 @@ export const dict = {
   "go.faq.a6": "Se você precisar de mais uso, pode recarregar crédito em sua conta.",
   "go.faq.q7": "Posso cancelar?",
   "go.faq.a7": "Sim, você pode cancelar a qualquer momento.",
-  "go.faq.q8": "Posso usar o Go com outros agentes de codificação?",
+  "go.faq.q8": "Qual acesso foi adiado?",
-  "go.faq.a8":
+  "go.faq.a8": "O suporte a agentes externos e contas de serviço foi adiado.",
-    "Sim, você pode usar o Go com qualquer agente. Siga as instruções de configuração no seu agente de codificação preferido.",
 
   "go.faq.q9": "Qual a diferença entre os modelos gratuitos e o Go?",
   "go.faq.a9":
@@ -660,8 +657,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Uso Mensal",
   "workspace.lite.subscription.resetsIn": "Reinicia em",
   "workspace.lite.subscription.useBalance": "Use seu saldo disponível após atingir os limites de uso",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Selecione o provedor opencode para usar os modelos Go.",
-    'Selecione "OpenCode Go" como provedor na sua configuração do opencode para usar os modelos Go.',
   "workspace.lite.providers.title": "Provedores",
   "workspace.lite.providers.description": "Controle quais provedores são usados para roteamento.",
   "workspace.lite.providers.useChina": "Ativar modelos hospedados na China",

packages/console/app/src/i18n/da.ts

@@ -266,8 +266,7 @@ export const dict = {
   "go.cta.text": "Abonner på Go",
   "go.cta.price": "$10/måned",
   "go.cta.promo": "$5 første måned",
-  "go.pricing.body":
+  "go.pricing.body": "Go starter ved $5 for den første måned, derefter $10/måned.",
-    "Brug med enhver agent. $5 første måned, derefter $10/måned. Tank op med kredit efter behov. Afmeld når som helst.",
   "go.graph.free": "Gratis",
   "go.graph.freePill": "Big Pickle og gratis modeller",
   "go.graph.go": "Go",
@@ -306,16 +305,15 @@ export const dict = {
   "go.problem.item4":
     "Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3",
   "go.how.title": "Hvordan Go virker",
-  "go.how.body":
+  "go.how.body": "Go starter ved $5 for den første måned, derefter $10/måned.",
-    "Go starter ved $5 for den første måned, derefter $10/måned. Du kan bruge det med OpenCode eller enhver agent.",
+  "go.how.step1.title": "Abonner på Go",
-  "go.how.step1.title": "Opret en konto",
+  "go.how.step1.beforeLink": "i",
-  "go.how.step1.beforeLink": "følg",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "opsætningsinstruktionerne",
+  "go.how.step2.title": "Forbind OpenCode",
-  "go.how.step2.title": "Abonner på Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 første måned",
+  "go.how.step2.afterLink": "og godkend enheden i din browser",
-  "go.how.step2.afterLink": "derefter $10/måned med generøse grænser",
   "go.how.step3.title": "Start kodning",
-  "go.how.step3.body": "med pålidelig adgang til open source-modeller",
+  "go.how.step3.body": "med opencode-udbyderen",
   "go.privacy.title": "Dit privatliv er vigtigt for os",
   "go.privacy.body":
     "Planen er primært designet til internationale brugere, med modeller hostet i USA, EU og Singapore for stabil global adgang.",
@@ -348,8 +346,8 @@ export const dict = {
   "go.faq.a6": "Hvis du har brug for mere forbrug, kan du tanke kredit op på din konto.",
   "go.faq.q7": "Kan jeg annullere?",
   "go.faq.a7": "Ja, du kan annullere til enhver tid.",
-  "go.faq.q8": "Kan jeg bruge Go med andre kodningsagenter?",
+  "go.faq.q8": "Hvilken adgang er udskudt?",
-  "go.faq.a8": "Ja, du kan bruge Go med enhver agent. Følg opsætningsinstruktionerne i din foretrukne kodningsagent.",
+  "go.faq.a8": "Understøttelse af eksterne agenter og tjenestekonti er udskudt.",
 
   "go.faq.q9": "Hvad er forskellen på gratis modeller og Go?",
   "go.faq.a9":
@@ -656,8 +654,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Månedligt forbrug",
   "workspace.lite.subscription.resetsIn": "Nulstiller i",
   "workspace.lite.subscription.useBalance": "Brug din tilgængelige saldo, når du har nået forbrugsgrænserne",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Vælg opencode-udbyderen for at bruge Go-modeller.",
-    'Vælg "OpenCode Go" som udbyder i din opencode-konfiguration for at bruge Go-modeller.',
   "workspace.lite.providers.title": "Udbydere",
   "workspace.lite.providers.description": "Styr, hvilke udbydere der bruges til routing.",
   "workspace.lite.providers.useChina": "Aktivér modeller hostet i Kina",

packages/console/app/src/i18n/de.ts

@@ -268,8 +268,7 @@ export const dict = {
   "go.cta.text": "Go abonnieren",
   "go.cta.price": "$10/Monat",
   "go.cta.promo": "$5 im ersten Monat",
-  "go.pricing.body":
+  "go.pricing.body": "Go beginnt bei $5 für den ersten Monat, danach $10/Monat.",
-    "Mit jedem Agenten nutzbar. $5 im ersten Monat, danach $10/Monat. Guthaben bei Bedarf aufladen. Jederzeit kündbar.",
   "go.graph.free": "Kostenlos",
   "go.graph.freePill": "Big Pickle und kostenlose Modelle",
   "go.graph.go": "Go",
@@ -308,16 +307,15 @@ export const dict = {
   "go.problem.item4":
     "Beinhaltet Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash und Hy3",
   "go.how.title": "Wie Go funktioniert",
-  "go.how.body":
+  "go.how.body": "Go beginnt bei $5 für den ersten Monat, danach $10/Monat.",
-    "Go beginnt bei $5 für den ersten Monat, danach $10/Monat. Du kannst es mit OpenCode oder jedem Agenten nutzen.",
+  "go.how.step1.title": "Go abonnieren",
-  "go.how.step1.title": "Konto erstellen",
+  "go.how.step1.beforeLink": "in",
-  "go.how.step1.beforeLink": "folge den",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "Einrichtungsanweisungen",
+  "go.how.step2.title": "OpenCode verbinden",
-  "go.how.step2.title": "Go abonnieren",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 im ersten Monat",
+  "go.how.step2.afterLink": "und autorisiere das Gerät in deinem Browser",
-  "go.how.step2.afterLink": "danach $10/Monat mit großzügigen Limits",
   "go.how.step3.title": "Loslegen mit Coding",
-  "go.how.step3.body": "mit zuverlässigem Zugang zu Open-Source-Modellen",
+  "go.how.step3.body": "mit dem opencode-Anbieter",
   "go.privacy.title": "Deine Privatsphäre ist uns wichtig",
   "go.privacy.body":
     "Der Plan ist primär für internationale Nutzer konzipiert, mit Modellen gehostet in den USA, der EU und Singapur für stabilen globalen Zugang.",
@@ -350,9 +348,8 @@ export const dict = {
   "go.faq.a6": "Wenn du mehr Nutzung benötigst, kannst du Guthaben in deinem Konto aufladen.",
   "go.faq.q7": "Kann ich kündigen?",
   "go.faq.a7": "Ja, du kannst jederzeit kündigen.",
-  "go.faq.q8": "Kann ich Go mit anderen Coding-Agenten nutzen?",
+  "go.faq.q8": "Welcher Zugriff ist zurückgestellt?",
-  "go.faq.a8":
+  "go.faq.a8": "Unterstützung für externe Agenten und Dienstkonten ist zurückgestellt.",
-    "Ja, du kannst Go mit jedem Agenten nutzen. Folge den Einrichtungsanweisungen in deinem bevorzugten Coding-Agenten.",
 
   "go.faq.q9": "Was ist der Unterschied zwischen kostenlosen Modellen und Go?",
   "go.faq.a9":
@@ -659,8 +656,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Monatliche Nutzung",
   "workspace.lite.subscription.resetsIn": "Setzt zurück in",
   "workspace.lite.subscription.useBalance": "Nutze dein verfügbares Guthaben, nachdem die Nutzungslimits erreicht sind",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Wähle den opencode-Anbieter, um Go-Modelle zu verwenden.",
-    'Wähle "OpenCode Go" als Anbieter in deiner opencode-Konfiguration, um Go-Modelle zu verwenden.',
   "workspace.lite.providers.title": "Anbieter",
   "workspace.lite.providers.description": "Steuere, welche Anbieter für das Routing verwendet werden.",
   "workspace.lite.providers.useChina": "In China gehostete Modelle aktivieren",

packages/console/app/src/i18n/en.ts

@@ -265,7 +265,8 @@ export const dict = {
   "go.cta.text": "Subscribe to Go",
   "go.cta.price": "$10/month",
   "go.cta.promo": "$5 first month",
-  "go.pricing.body": "Use with any agent. $5 first month, then $10/month. Top up credit if needed. Cancel any time.",
+  "go.pricing.body":
+    "For a named OpenCode subscriber. $5 first month, then $10/month. Service accounts are not eligible. Cancel any time.",
   "go.graph.free": "Free",
   "go.graph.freePill": "Big Pickle and free models",
   "go.graph.go": "Go",
@@ -304,15 +305,15 @@ export const dict = {
   "go.problem.item4":
     "Includes Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, and Hy3",
   "go.how.title": "How Go works",
-  "go.how.body": "Go starts at $5 for your first month, then $10/month. You can use it with OpenCode or any agent.",
+  "go.how.body": "Go is available to a named subscriber using OpenCode. No API key needs to be copied.",
-  "go.how.step1.title": "Create an account",
+  "go.how.step1.title": "Subscribe to Go",
-  "go.how.step1.beforeLink": "follow the",
+  "go.how.step1.beforeLink": "in",
-  "go.how.step1.link": "setup instructions",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "Subscribe to Go",
+  "go.how.step2.title": "Connect OpenCode",
-  "go.how.step2.link": "$5 first month",
+  "go.how.step2.link": "run opencode2 console login",
-  "go.how.step2.afterLink": "then $10/month with generous limits",
+  "go.how.step2.afterLink": "and authorize the device in your browser",
   "go.how.step3.title": "Start coding",
-  "go.how.step3.body": "with reliable access to open-source models",
+  "go.how.step3.body": "with the opencode provider",
   "go.privacy.title": "Your privacy is important to us",
   "go.privacy.body":
     "The plan is designed primarily for international users, with models hosted in the US, EU, and Singapore for stable global access.",
@@ -346,8 +347,9 @@ export const dict = {
   "go.faq.a6": "If you need more usage, you can top up credit in your account.",
   "go.faq.q7": "Can I cancel?",
   "go.faq.a7": "Yes, you can cancel any time.",
-  "go.faq.q8": "Can I use Go with other coding agents?",
+  "go.faq.q8": "Who can use Go?",
-  "go.faq.a8": "Yes, you can use Go with any agent. Follow the setup instructions in your preferred coding agent.",
+  "go.faq.a8":
+    "Go is available to the named subscriber through OpenCode. Other coding agents and service accounts are not eligible.",
 
   "go.faq.q9": "What is the difference between free models and Go?",
   "go.faq.a9":
@@ -654,8 +656,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Monthly Usage",
   "workspace.lite.subscription.resetsIn": "Resets in",
   "workspace.lite.subscription.useBalance": "Use your available balance after reaching the usage limits",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": 'Select the "opencode" provider to use Go models.',
-    'Select "OpenCode Go" as the provider in your opencode configuration to use Go models.',
   "workspace.lite.providers.title": "Providers",
   "workspace.lite.providers.description": "Control which providers are used for routing.",
   "workspace.lite.providers.useChina": "Enable models hosted in China",

packages/console/app/src/i18n/es.ts

@@ -269,8 +269,7 @@ export const dict = {
   "go.cta.text": "Suscribirse a Go",
   "go.cta.price": "10 $/mes",
   "go.cta.promo": "$5 el primer mes",
-  "go.pricing.body":
+  "go.pricing.body": "Go comienza en $5 el primer mes, luego 10 $/mes.",
-    "Úsalo con cualquier agente. $5 el primer mes, luego 10 $/mes. Recarga crédito si es necesario. Cancela en cualquier momento.",
   "go.graph.free": "Gratis",
   "go.graph.freePill": "Big Pickle y modelos gratuitos",
   "go.graph.go": "Go",
@@ -310,15 +309,15 @@ export const dict = {
   "go.problem.item4":
     "Incluye Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash y Hy3",
   "go.how.title": "Cómo funciona Go",
-  "go.how.body": "Go comienza en $5 el primer mes, luego 10 $/mes. Puedes usarlo con OpenCode o cualquier agente.",
+  "go.how.body": "Go comienza en $5 el primer mes, luego 10 $/mes.",
-  "go.how.step1.title": "Crear una cuenta",
+  "go.how.step1.title": "Suscribirse a Go",
-  "go.how.step1.beforeLink": "sigue las",
+  "go.how.step1.beforeLink": "en",
-  "go.how.step1.link": "instrucciones de configuración",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "Suscribirse a Go",
+  "go.how.step2.title": "Conectar OpenCode",
-  "go.how.step2.link": "$5 el primer mes",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "luego 10 $/mes con límites generosos",
+  "go.how.step2.afterLink": "y autoriza el dispositivo en tu navegador",
   "go.how.step3.title": "Empezar a programar",
-  "go.how.step3.body": "con acceso fiable a modelos de código abierto",
+  "go.how.step3.body": "con el proveedor opencode",
   "go.privacy.title": "Tu privacidad es importante para nosotros",
   "go.privacy.body":
     "El plan está diseñado principalmente para usuarios internacionales, con modelos alojados en EE. UU., UE y Singapur para un acceso global estable.",
@@ -351,9 +350,8 @@ export const dict = {
   "go.faq.a6": "Si necesitas más uso, puedes recargar crédito en tu cuenta.",
   "go.faq.q7": "¿Puedo cancelar?",
   "go.faq.a7": "Sí, puedes cancelar en cualquier momento.",
-  "go.faq.q8": "¿Puedo usar Go con otros agentes de programación?",
+  "go.faq.q8": "¿Qué acceso está aplazado?",
-  "go.faq.a8":
+  "go.faq.a8": "La compatibilidad con agentes externos y cuentas de servicio está aplazada.",
-    "Sí, puedes usar Go con cualquier agente. Sigue las instrucciones de configuración en tu agente de programación preferido.",
 
   "go.faq.q9": "¿Cuál es la diferencia entre los modelos gratuitos y Go?",
   "go.faq.a9":
@@ -660,8 +658,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Uso Mensual",
   "workspace.lite.subscription.resetsIn": "Se reinicia en",
   "workspace.lite.subscription.useBalance": "Usa tu saldo disponible después de alcanzar los límites de uso",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Selecciona el proveedor opencode para usar los modelos de Go.",
-    'Selecciona "OpenCode Go" como proveedor en tu configuración de opencode para usar los modelos Go.',
   "workspace.lite.providers.title": "Proveedores",
   "workspace.lite.providers.description": "Controla qué proveedores se usan para el enrutamiento.",
   "workspace.lite.providers.useChina": "Activar modelos alojados en China",

packages/console/app/src/i18n/fr.ts

@@ -270,8 +270,7 @@ export const dict = {
   "go.cta.text": "S'abonner à Go",
   "go.cta.price": "10 $/mois",
   "go.cta.promo": "$5 le premier mois",
-  "go.pricing.body":
+  "go.pricing.body": "Go commence à $5 pour le premier mois, puis 10 $/mois.",
-    "Utilisez-le avec n'importe quel agent. $5 le premier mois, puis 10 $/mois. Rechargez du crédit si nécessaire. Annulez à tout moment.",
   "go.graph.free": "Gratuit",
   "go.graph.freePill": "Big Pickle et modèles gratuits",
   "go.graph.go": "Go",
@@ -310,16 +309,15 @@ export const dict = {
   "go.problem.item4":
     "Inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3",
   "go.how.title": "Comment fonctionne Go",
-  "go.how.body":
+  "go.how.body": "Go commence à $5 pour le premier mois, puis 10 $/mois.",
-    "Go commence à $5 pour le premier mois, puis 10 $/mois. Vous pouvez l'utiliser avec OpenCode ou n'importe quel agent.",
+  "go.how.step1.title": "Abonnez-vous à Go",
-  "go.how.step1.title": "Créez un compte",
+  "go.how.step1.beforeLink": "dans",
-  "go.how.step1.beforeLink": "suivez les",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "instructions de configuration",
+  "go.how.step2.title": "Connecter OpenCode",
-  "go.how.step2.title": "Abonnez-vous à Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 le premier mois",
+  "go.how.step2.afterLink": "et autorisez l’appareil dans votre navigateur",
-  "go.how.step2.afterLink": "puis 10 $/mois avec des limites généreuses",
   "go.how.step3.title": "Commencez à coder",
-  "go.how.step3.body": "avec un accès fiable aux modèles open source",
+  "go.how.step3.body": "avec le fournisseur opencode",
   "go.privacy.title": "Votre vie privée est importante pour nous",
   "go.privacy.body":
     "Le plan est conçu principalement pour les utilisateurs internationaux, avec des modèles hébergés aux États-Unis, dans l'UE et à Singapour pour un accès mondial stable.",
@@ -352,9 +350,8 @@ export const dict = {
   "go.faq.a6": "Si vous avez besoin de plus d'utilisation, vous pouvez recharger du crédit dans votre compte.",
   "go.faq.q7": "Puis-je annuler ?",
   "go.faq.a7": "Oui, vous pouvez annuler à tout moment.",
-  "go.faq.q8": "Puis-je utiliser Go avec d'autres agents de code ?",
+  "go.faq.q8": "Quel accès est reporté ?",
-  "go.faq.a8":
+  "go.faq.a8": "La prise en charge des agents externes et des comptes de service est reportée.",
-    "Oui, vous pouvez utiliser Go avec n'importe quel agent. Suivez les instructions de configuration dans votre agent de code préféré.",
   "go.faq.q9": "Quelle est la différence entre les modèles gratuits et Go ?",
   "go.faq.a9":
     "Les modèles gratuits incluent Big Pickle ainsi que des modèles promotionnels disponibles à ce moment-là, avec un quota de 200 requêtes/jour. Go inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3 avec des quotas de requêtes plus élevés appliqués sur des fenêtres glissantes (5 heures, hebdomadaire et mensuelle), à peu près équivalent à 12 $ par 5 heures, 30 $ par semaine et 60 $ par mois (le nombre réel de requêtes varie selon le modèle et l'utilisation).",
@@ -666,8 +663,7 @@ export const dict = {
   "workspace.lite.subscription.resetsIn": "Réinitialisation dans",
   "workspace.lite.subscription.useBalance":
     "Utilisez votre solde disponible après avoir atteint les limites d'utilisation",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Sélectionnez le fournisseur opencode pour utiliser les modèles Go.",
-    'Sélectionnez "OpenCode Go" comme fournisseur dans votre configuration opencode pour utiliser les modèles Go.',
   "workspace.lite.providers.title": "Fournisseurs",
   "workspace.lite.providers.description": "Contrôlez les fournisseurs utilisés pour le routage.",
   "workspace.lite.providers.useChina": "Activer les modèles hébergés en Chine",

packages/console/app/src/i18n/it.ts

@@ -266,8 +266,7 @@ export const dict = {
   "go.cta.text": "Abbonati a Go",
   "go.cta.price": "$10/mese",
   "go.cta.promo": "$5 il primo mese",
-  "go.pricing.body":
+  "go.pricing.body": "Go inizia a $5 per il primo mese, poi $10/mese.",
-    "Usalo con qualsiasi agente. $5 il primo mese, poi $10/mese. Ricarica il credito se necessario. Annulla in qualsiasi momento.",
   "go.graph.free": "Gratis",
   "go.graph.freePill": "Big Pickle e modelli gratuiti",
   "go.graph.go": "Go",
@@ -306,15 +305,15 @@ export const dict = {
   "go.problem.item4":
     "Include Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3",
   "go.how.title": "Come funziona Go",
-  "go.how.body": "Go inizia a $5 per il primo mese, poi $10/mese. Puoi usarlo con OpenCode o qualsiasi agente.",
+  "go.how.body": "Go inizia a $5 per il primo mese, poi $10/mese.",
-  "go.how.step1.title": "Crea un account",
+  "go.how.step1.title": "Abbonati a Go",
-  "go.how.step1.beforeLink": "segui le",
+  "go.how.step1.beforeLink": "in",
-  "go.how.step1.link": "istruzioni di configurazione",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "Abbonati a Go",
+  "go.how.step2.title": "Connetti OpenCode",
-  "go.how.step2.link": "$5 il primo mese",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "poi $10/mese con limiti generosi",
+  "go.how.step2.afterLink": "e autorizza il dispositivo nel browser",
   "go.how.step3.title": "Inizia a programmare",
-  "go.how.step3.body": "con accesso affidabile ai modelli open source",
+  "go.how.step3.body": "con il provider opencode",
   "go.privacy.title": "La tua privacy è importante per noi",
   "go.privacy.body":
     "Il piano è progettato principalmente per gli utenti internazionali, con modelli ospitati negli Stati Uniti, UE e Singapore per un accesso globale stabile.",
@@ -347,9 +346,8 @@ export const dict = {
   "go.faq.a6": "Se hai bisogno di più utilizzo, puoi ricaricare il credito nel tuo account.",
   "go.faq.q7": "Posso annullare?",
   "go.faq.a7": "Sì, puoi annullare in qualsiasi momento.",
-  "go.faq.q8": "Posso usare Go con altri agenti di coding?",
+  "go.faq.q8": "Quale accesso è rinviato?",
-  "go.faq.a8":
+  "go.faq.a8": "Il supporto per agenti esterni e account di servizio è rinviato.",
-    "Sì, puoi usare Go con qualsiasi agente. Segui le istruzioni di configurazione nel tuo agente di coding preferito.",
 
   "go.faq.q9": "Qual è la differenza tra i modelli gratuiti e Go?",
   "go.faq.a9":
@@ -658,8 +656,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Utilizzo Mensile",
   "workspace.lite.subscription.resetsIn": "Si resetta tra",
   "workspace.lite.subscription.useBalance": "Usa il tuo saldo disponibile dopo aver raggiunto i limiti di utilizzo",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Seleziona il provider opencode per usare i modelli Go.",
-    'Seleziona "OpenCode Go" come provider nella tua configurazione opencode per utilizzare i modelli Go.',
   "workspace.lite.providers.title": "Provider",
   "workspace.lite.providers.description": "Controlla quali provider vengono usati per il routing.",
   "workspace.lite.providers.useChina": "Abilita modelli ospitati in Cina",

packages/console/app/src/i18n/ja.ts

@@ -265,8 +265,7 @@ export const dict = {
   "go.cta.text": "Goを購読する",
   "go.cta.price": "$10/月",
   "go.cta.promo": "初月 $5",
-  "go.pricing.body":
+  "go.pricing.body": "Goは最初の月$5、その後$10/月で始まります。",
-    "どのエージェントでも使えます。最初の月$5、その後$10/月。必要に応じてクレジットを追加。いつでもキャンセルできます。",
   "go.graph.free": "無料",
   "go.graph.freePill": "Big Pickleと無料モデル",
   "go.graph.go": "Go",
@@ -306,15 +305,15 @@ export const dict = {
   "go.problem.item4":
     "Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash、Hy3を含む",
   "go.how.title": "Goの仕組み",
-  "go.how.body": "Goは最初の月$5、その後$10/月で始まります。OpenCodeまたは任意のエージェントで使えます。",
+  "go.how.body": "Goは最初の月$5、その後$10/月で始まります。",
-  "go.how.step1.title": "アカウントを作成",
+  "go.how.step1.title": "Goを購読する",
-  "go.how.step1.beforeLink": "",
+  "go.how.step1.beforeLink": "で",
-  "go.how.step1.link": "セットアップ手順はこちら",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "Goを購読する",
+  "go.how.step2.title": "OpenCodeを接続",
-  "go.how.step2.link": "最初の月$5",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "その後$10/月、ゆとりある上限付き",
+  "go.how.step2.afterLink": "ブラウザでデバイスを承認します",
   "go.how.step3.title": "コーディングを開始",
-  "go.how.step3.body": "オープンソースモデルへの安定したアクセスで",
+  "go.how.step3.body": "opencodeプロバイダーで",
   "go.privacy.title": "あなたのプライバシーは私たちにとって重要です",
   "go.privacy.body":
     "このプランは主に海外ユーザー向けに設計されており、米国、EU、シンガポールでホストされたモデルにより安定したグローバルアクセスを提供します。",
@@ -347,9 +346,8 @@ export const dict = {
   "go.faq.a6": "利用枠を追加したい場合は、アカウントでクレジットをチャージできます。",
   "go.faq.q7": "キャンセルできますか？",
   "go.faq.a7": "はい、いつでもキャンセル可能です。",
-  "go.faq.q8": "他のコーディングエージェントでGoを使えますか？",
+  "go.faq.q8": "どのアクセスが延期されていますか？",
-  "go.faq.a8":
+  "go.faq.a8": "外部エージェントとサービスアカウントのサポートは延期されています。",
-    "はい、Goは任意のエージェントで使用できます。お使いのコーディングエージェントのセットアップ手順に従ってください。",
 
   "go.faq.q9": "無料モデルとGoの違いは何ですか？",
   "go.faq.a9":
@@ -658,8 +656,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "月間利用量",
   "workspace.lite.subscription.resetsIn": "リセットまで",
   "workspace.lite.subscription.useBalance": "利用限度額に達したら利用可能な残高を使用する",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Goモデルを使用するにはopencodeプロバイダーを選択してください。",
-    "Go モデルを使用するには、opencode の設定で「OpenCode Go」をプロバイダーとして選択してください。",
   "workspace.lite.providers.title": "プロバイダー",
   "workspace.lite.providers.description": "ルーティングに使用するプロバイダーを管理します。",
   "workspace.lite.providers.useChina": "中国でホストされているモデルを有効にする",

packages/console/app/src/i18n/ko.ts

@@ -262,8 +262,7 @@ export const dict = {
   "go.cta.text": "Go 구독하기",
   "go.cta.price": "$10/월",
   "go.cta.promo": "첫 달 $5",
-  "go.pricing.body":
+  "go.pricing.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다.",
-    "어떤 에이전트와도 사용할 수 있습니다. 첫 달 $5, 이후 $10/월. 필요하면 크레딧을 충전하세요. 언제든지 취소할 수 있습니다.",
   "go.graph.free": "무료",
   "go.graph.freePill": "Big Pickle 및 무료 모델",
   "go.graph.go": "Go",
@@ -303,15 +302,15 @@ export const dict = {
   "go.problem.item4":
     "Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, Hy3 포함",
   "go.how.title": "Go 작동 방식",
-  "go.how.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다. OpenCode 또는 어떤 에이전트와도 함께 사용할 수 있습니다.",
+  "go.how.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다.",
-  "go.how.step1.title": "계정 생성",
+  "go.how.step1.title": "Go 구독",
-  "go.how.step1.beforeLink": "",
+  "go.how.step1.beforeLink": "에서",
-  "go.how.step1.link": "설정 지침을 따르세요",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "Go 구독",
+  "go.how.step2.title": "OpenCode 연결",
-  "go.how.step2.link": "첫 달 $5",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "이후 $10/월, 넉넉한 한도 포함",
+  "go.how.step2.afterLink": "브라우저에서 기기를 승인하세요",
   "go.how.step3.title": "코딩 시작",
-  "go.how.step3.body": "오픈 소스 모델에 대한 안정적인 액세스와 함께",
+  "go.how.step3.body": "opencode 공급자로",
   "go.privacy.title": "귀하의 프라이버시는 우리에게 중요합니다",
   "go.privacy.body":
     "이 플랜은 주로 글로벌 사용자를 위해 설계되었으며, 안정적인 글로벌 액세스를 위해 미국, EU, 싱가포르에 모델이 호스팅되어 있습니다.",
@@ -343,8 +342,8 @@ export const dict = {
   "go.faq.a6": "사용량이 더 필요한 경우 계정에서 크레딧을 충전할 수 있습니다.",
   "go.faq.q7": "취소할 수 있나요?",
   "go.faq.a7": "네, 언제든지 취소할 수 있습니다.",
-  "go.faq.q8": "다른 코딩 에이전트와 Go를 사용할 수 있나요?",
+  "go.faq.q8": "어떤 액세스가 연기되었나요?",
-  "go.faq.a8": "네, Go는 어떤 에이전트와도 사용할 수 있습니다. 선호하는 코딩 에이전트의 설정 지침을 따르세요.",
+  "go.faq.a8": "외부 에이전트와 서비스 계정 지원은 연기되었습니다.",
 
   "go.faq.q9": "무료 모델과 Go의 차이점은 무엇인가요?",
   "go.faq.a9":
@@ -650,8 +649,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "월간 사용량",
   "workspace.lite.subscription.resetsIn": "초기화까지 남은 시간:",
   "workspace.lite.subscription.useBalance": "사용 한도 도달 후에는 보유 잔액 사용",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Go 모델을 사용하려면 opencode 공급자를 선택하세요.",
-    'Go 모델을 사용하려면 opencode 설정에서 "OpenCode Go"를 공급자로 선택하세요.',
   "workspace.lite.providers.title": "공급자",
   "workspace.lite.providers.description": "라우팅에 사용할 공급자를 제어합니다.",
   "workspace.lite.providers.useChina": "중국에서 호스팅되는 모델 활성화",

packages/console/app/src/i18n/no.ts

@@ -266,8 +266,7 @@ export const dict = {
   "go.cta.text": "Abonner på Go",
   "go.cta.price": "$10/måned",
   "go.cta.promo": "$5 første måned",
-  "go.pricing.body":
+  "go.pricing.body": "Go starter på $5 for den første måneden, deretter $10/måned.",
-    "Bruk med hvilken som helst agent. $5 første måned, deretter $10/måned. Fyll på kreditt ved behov. Avslutt når som helst.",
   "go.graph.free": "Gratis",
   "go.graph.freePill": "Big Pickle og gratis modeller",
   "go.graph.go": "Go",
@@ -306,16 +305,15 @@ export const dict = {
   "go.problem.item4":
     "Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3",
   "go.how.title": "Hvordan Go fungerer",
-  "go.how.body":
+  "go.how.body": "Go starter på $5 for den første måneden, deretter $10/måned.",
-    "Go starter på $5 for den første måneden, deretter $10/måned. Du kan bruke det med OpenCode eller hvilken som helst agent.",
+  "go.how.step1.title": "Abonner på Go",
-  "go.how.step1.title": "Opprett en konto",
+  "go.how.step1.beforeLink": "i",
-  "go.how.step1.beforeLink": "følg",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "oppsettsinstruksjonene",
+  "go.how.step2.title": "Koble til OpenCode",
-  "go.how.step2.title": "Abonner på Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 første måned",
+  "go.how.step2.afterLink": "og godkjenn enheten i nettleseren",
-  "go.how.step2.afterLink": "deretter $10/måned med sjenerøse grenser",
   "go.how.step3.title": "Begynn å kode",
-  "go.how.step3.body": "med pålitelig tilgang til åpen kildekode-modeller",
+  "go.how.step3.body": "med opencode-leverandøren",
   "go.privacy.title": "Personvernet ditt er viktig for oss",
   "go.privacy.body":
     "Planen er primært designet for internasjonale brukere, med modeller driftet i USA, EU og Singapore for stabil global tilgang.",
@@ -348,9 +346,8 @@ export const dict = {
   "go.faq.a6": "Hvis du trenger mer bruk, kan du fylle på kreditt i kontoen din.",
   "go.faq.q7": "Kan jeg avslutte?",
   "go.faq.a7": "Ja, du kan avslutte når som helst.",
-  "go.faq.q8": "Kan jeg bruke Go med andre kodeagenter?",
+  "go.faq.q8": "Hvilken tilgang er utsatt?",
-  "go.faq.a8":
+  "go.faq.a8": "Støtte for eksterne agenter og tjenestekontoer er utsatt.",
-    "Ja, du kan bruke Go med hvilken som helst agent. Følg oppsettinstruksjonene i din foretrukne kodeagent.",
 
   "go.faq.q9": "Hva er forskjellen mellom gratis modeller og Go?",
   "go.faq.a9":
@@ -657,8 +654,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Månedlig bruk",
   "workspace.lite.subscription.resetsIn": "Nullstilles om",
   "workspace.lite.subscription.useBalance": "Bruk din tilgjengelige saldo etter å ha nådd bruksgrensene",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Velg opencode-leverandøren for å bruke Go-modeller.",
-    'Velg "OpenCode Go" som leverandør i opencode-konfigurasjonen din for å bruke Go-modeller.',
   "workspace.lite.providers.title": "Leverandører",
   "workspace.lite.providers.description": "Kontroller hvilke leverandører som brukes til ruting.",
   "workspace.lite.providers.useChina": "Aktiver modeller hostet i Kina",

packages/console/app/src/i18n/pl.ts

@@ -267,8 +267,7 @@ export const dict = {
   "go.cta.text": "Zasubskrybuj Go",
   "go.cta.price": "$10/miesiąc",
   "go.cta.promo": "$5 pierwszy miesiąc",
-  "go.pricing.body":
+  "go.pricing.body": "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc.",
-    "Używaj z dowolnym agentem. $5 za pierwszy miesiąc, potem $10/miesiąc. Doładuj konto w razie potrzeby. Anuluj w dowolnym momencie.",
   "go.graph.free": "Darmowe",
   "go.graph.freePill": "Big Pickle i darmowe modele",
   "go.graph.go": "Go",
@@ -307,16 +306,15 @@ export const dict = {
   "go.problem.item4":
     "Zawiera Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash i Hy3",
   "go.how.title": "Jak działa Go",
-  "go.how.body":
+  "go.how.body": "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc.",
-    "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc. Możesz go używać z OpenCode lub dowolnym agentem.",
+  "go.how.step1.title": "Zasubskrybuj Go",
-  "go.how.step1.title": "Załóż konto",
+  "go.how.step1.beforeLink": "w",
-  "go.how.step1.beforeLink": "postępuj zgodnie z",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "instrukcją konfiguracji",
+  "go.how.step2.title": "Połącz OpenCode",
-  "go.how.step2.title": "Zasubskrybuj Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 za pierwszy miesiąc",
+  "go.how.step2.afterLink": "i zatwierdź urządzenie w przeglądarce",
-  "go.how.step2.afterLink": "potem $10/miesiąc z hojnymi limitami",
   "go.how.step3.title": "Zacznij kodować",
-  "go.how.step3.body": "z niezawodnym dostępem do modeli open source",
+  "go.how.step3.body": "z dostawcą opencode",
   "go.privacy.title": "Twoja prywatność jest dla nas ważna",
   "go.privacy.body":
     "Plan został zaprojektowany głównie dla użytkowników międzynarodowych, z modelami hostowanymi w USA, UE i Singapurze, aby zapewnić stabilny globalny dostęp.",
@@ -349,9 +347,8 @@ export const dict = {
   "go.faq.a6": "Jeśli potrzebujesz większego użycia, możesz doładować środki na swoim koncie.",
   "go.faq.q7": "Czy mogę anulować?",
   "go.faq.a7": "Tak, możesz anulować w dowolnym momencie.",
-  "go.faq.q8": "Czy mogę używać Go z innymi agentami kodującymi?",
+  "go.faq.q8": "Jaki dostęp jest odroczony?",
-  "go.faq.a8":
+  "go.faq.a8": "Obsługa zewnętrznych agentów i kont usług jest odroczona.",
-    "Tak, możesz używać Go z dowolnym agentem. Postępuj zgodnie z instrukcjami konfiguracji w swoim preferowanym agencie.",
 
   "go.faq.q9": "Jaka jest różnica między darmowymi modelami a Go?",
   "go.faq.a9":
@@ -658,8 +655,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Użycie miesięczne",
   "workspace.lite.subscription.resetsIn": "Resetuje się za",
   "workspace.lite.subscription.useBalance": "Użyj dostępnego salda po osiągnięciu limitów użycia",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Wybierz dostawcę opencode, aby używać modeli Go.",
-    'Wybierz "OpenCode Go" jako dostawcę w konfiguracji opencode, aby używać modeli Go.',
   "workspace.lite.providers.title": "Dostawcy",
   "workspace.lite.providers.description": "Kontroluj, którzy dostawcy są używani do routingu.",
   "workspace.lite.providers.useChina": "Włącz modele hostowane w Chinach",

packages/console/app/src/i18n/ru.ts

@@ -270,8 +270,7 @@ export const dict = {
   "go.cta.text": "Подписаться на Go",
   "go.cta.price": "$10/месяц",
   "go.cta.promo": "$5 первый месяц",
-  "go.pricing.body":
+  "go.pricing.body": "Go начинается с $5 за первый месяц, затем $10/месяц.",
-    "Используйте с любым агентом. $5 за первый месяц, затем $10/месяц. Пополняйте баланс при необходимости. Отменить можно в любое время.",
   "go.graph.free": "Бесплатно",
   "go.graph.freePill": "Big Pickle и бесплатные модели",
   "go.graph.go": "Go",
@@ -311,16 +310,15 @@ export const dict = {
   "go.problem.item4":
     "Включает Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash и Hy3",
   "go.how.title": "Как работает Go",
-  "go.how.body":
+  "go.how.body": "Go начинается с $5 за первый месяц, затем $10/месяц.",
-    "Go начинается с $5 за первый месяц, затем $10/месяц. Вы можете использовать его с OpenCode или любым агентом.",
+  "go.how.step1.title": "Подпишитесь на Go",
-  "go.how.step1.title": "Создайте аккаунт",
+  "go.how.step1.beforeLink": "в",
-  "go.how.step1.beforeLink": "следуйте",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "инструкциям по настройке",
+  "go.how.step2.title": "Подключить OpenCode",
-  "go.how.step2.title": "Подпишитесь на Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 за первый месяц",
+  "go.how.step2.afterLink": "и подтвердите устройство в браузере",
-  "go.how.step2.afterLink": "затем $10/месяц с щедрыми лимитами",
   "go.how.step3.title": "Начните кодить",
-  "go.how.step3.body": "с надежным доступом к open-source моделям",
+  "go.how.step3.body": "с провайдером opencode",
   "go.privacy.title": "Ваша приватность важна для нас",
   "go.privacy.body":
     "План разработан в первую очередь для международных пользователей, с моделями, размещенными в США, ЕС и Сингапуре для стабильного глобального доступа.",
@@ -353,9 +351,8 @@ export const dict = {
   "go.faq.a6": "Если вам нужно больше использования, вы можете пополнить баланс в своем аккаунте.",
   "go.faq.q7": "Могу ли я отменить подписку?",
   "go.faq.a7": "Да, вы можете отменить подписку в любое время.",
-  "go.faq.q8": "Могу ли я использовать Go с другими кодинг-агентами?",
+  "go.faq.q8": "Какая поддержка отложена?",
-  "go.faq.a8":
+  "go.faq.a8": "Поддержка внешних агентов и сервисных аккаунтов отложена.",
-    "Да, вы можете использовать Go с любым агентом. Следуйте инструкциям по настройке в вашем предпочитаемом агенте.",
 
   "go.faq.q9": "В чем разница между бесплатными моделями и Go?",
   "go.faq.a9":
@@ -664,8 +661,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Ежемесячное использование",
   "workspace.lite.subscription.resetsIn": "Сброс через",
   "workspace.lite.subscription.useBalance": "Использовать доступный баланс после достижения лимитов",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Выберите провайдер opencode для использования моделей Go.",
-    'Выберите "OpenCode Go" в качестве провайдера в настройках opencode для использования моделей Go.',
   "workspace.lite.providers.title": "Провайдеры",
   "workspace.lite.providers.description": "Управляйте провайдерами, используемыми для маршрутизации.",
   "workspace.lite.providers.useChina": "Включить модели, размещенные в Китае",

packages/console/app/src/i18n/th.ts

@@ -265,7 +265,7 @@ export const dict = {
   "go.cta.text": "สมัครสมาชิก Go",
   "go.cta.price": "$10/เดือน",
   "go.cta.promo": "$5 เดือนแรก",
-  "go.pricing.body": "ใช้กับเอเจนต์ใดก็ได้ $5 ในเดือนแรก จากนั้น $10/เดือน เติมเครดิตหากจำเป็น ยกเลิกได้ตลอดเวลา",
+  "go.pricing.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน",
   "go.graph.free": "ฟรี",
   "go.graph.freePill": "Big Pickle และโมเดลฟรี",
   "go.graph.go": "Go",
@@ -304,15 +304,15 @@ export const dict = {
   "go.problem.item4":
     "รวมถึง Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash และ Hy3",
   "go.how.title": "Go ทำงานอย่างไร",
-  "go.how.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน คุณสามารถใช้กับ OpenCode หรือเอเจนต์ใดก็ได้",
+  "go.how.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน",
-  "go.how.step1.title": "สร้างบัญชี",
+  "go.how.step1.title": "สมัครสมาชิก Go",
-  "go.how.step1.beforeLink": "ทำตาม",
+  "go.how.step1.beforeLink": "ใน",
-  "go.how.step1.link": "คำแนะนำการตั้งค่า",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "สมัครสมาชิก Go",
+  "go.how.step2.title": "เชื่อมต่อ OpenCode",
-  "go.how.step2.link": "$5 เดือนแรก",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "จากนั้น $10/เดือน พร้อมขีดจำกัดที่เอื้อเฟื้อ",
+  "go.how.step2.afterLink": "และอนุมัติอุปกรณ์ในเบราว์เซอร์",
   "go.how.step3.title": "เริ่มเขียนโค้ด",
-  "go.how.step3.body": "ด้วยการเข้าถึงโมเดลโอเพนซอร์สที่เชื่อถือได้",
+  "go.how.step3.body": "ด้วยผู้ให้บริการ opencode",
   "go.privacy.title": "ความเป็นส่วนตัวของคุณสำคัญสำหรับเรา",
   "go.privacy.body":
     "แผนนี้ออกแบบมาเพื่อผู้ใช้งานระหว่างประเทศเป็นหลัก โดยมีโมเดลโฮสต์ในสหรัฐอเมริกา สหภาพยุโรป และสิงคโปร์ เพื่อการเข้าถึงทั่วโลกที่เสถียร",
@@ -345,8 +345,8 @@ export const dict = {
   "go.faq.a6": "หากคุณต้องการใช้งานเพิ่ม คุณสามารถเติมเครดิตในบัญชีของคุณได้",
   "go.faq.q7": "ฉันสามารถยกเลิกได้หรือไม่?",
   "go.faq.a7": "ได้ คุณสามารถยกเลิกได้ตลอดเวลา",
-  "go.faq.q8": "ฉันสามารถใช้ Go กับเอเจนต์เขียนโค้ดอื่นได้หรือไม่?",
+  "go.faq.q8": "การเข้าถึงใดถูกเลื่อนออกไป?",
-  "go.faq.a8": "ได้ คุณสามารถใช้ Go กับเอเจนต์ใดก็ได้ ทำตามคำแนะนำการตั้งค่าในเอเจนต์เขียนโค้ดที่คุณต้องการ",
+  "go.faq.a8": "การรองรับเอเจนต์ภายนอกและบัญชีบริการถูกเลื่อนออกไป",
 
   "go.faq.q9": "ความแตกต่างระหว่างโมเดลฟรีและ Go คืออะไร?",
   "go.faq.a9":
@@ -653,8 +653,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "การใช้งานรายเดือน",
   "workspace.lite.subscription.resetsIn": "รีเซ็ตใน",
   "workspace.lite.subscription.useBalance": "ใช้ยอดคงเหลือของคุณหลังจากถึงขีดจำกัดการใช้งาน",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "เลือกผู้ให้บริการ opencode เพื่อใช้โมเดล Go",
-    'เลือก "OpenCode Go" เป็นผู้ให้บริการในการตั้งค่า opencode ของคุณเพื่อใช้โมเดล Go',
   "workspace.lite.providers.title": "ผู้ให้บริการ",
   "workspace.lite.providers.description": "ควบคุมผู้ให้บริการที่ใช้สำหรับการกำหนดเส้นทาง",
   "workspace.lite.providers.useChina": "เปิดใช้โมเดลที่โฮสต์ในจีน",

packages/console/app/src/i18n/tr.ts

@@ -268,8 +268,7 @@ export const dict = {
   "go.cta.text": "Go'ya abone ol",
   "go.cta.price": "Ayda 10$",
   "go.cta.promo": "İlk ay $5",
-  "go.pricing.body":
+  "go.pricing.body": "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar.",
-    "Herhangi bir ajanla kullanın. İlk ay $5, sonrasında ayda 10$. Gerekirse kredi yükleyin. İstediğiniz zaman iptal edin.",
   "go.graph.free": "Ücretsiz",
   "go.graph.freePill": "Big Pickle ve ücretsiz modeller",
   "go.graph.go": "Go",
@@ -309,16 +308,15 @@ export const dict = {
   "go.problem.item4":
     "Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash ve Hy3 içerir",
   "go.how.title": "Go nasıl çalışır?",
-  "go.how.body":
+  "go.how.body": "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar.",
-    "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar. OpenCode veya herhangi bir ajanla kullanabilirsiniz.",
+  "go.how.step1.title": "Go'ya abone olun",
-  "go.how.step1.title": "Bir hesap oluşturun",
+  "go.how.step1.beforeLink": "içinde",
-  "go.how.step1.beforeLink": "takip edin",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "kurulum talimatları",
+  "go.how.step2.title": "OpenCode’u bağlayın",
-  "go.how.step2.title": "Go'ya abone olun",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "İlk ay $5",
+  "go.how.step2.afterLink": "ve cihazı tarayıcınızda onaylayın",
-  "go.how.step2.afterLink": "sonrasında cömert limitlerle ayda 10$",
   "go.how.step3.title": "Kodlamaya başlayın",
-  "go.how.step3.body": "açık kaynaklı modellere güvenilir erişimle",
+  "go.how.step3.body": "opencode sağlayıcısıyla",
   "go.privacy.title": "Gizliliğiniz bizim için önemlidir",
   "go.privacy.body":
     "Bu plan öncelikle uluslararası kullanıcılar için tasarlanmış olup, istikrarlı küresel erişim için modeller ABD, AB ve Singapur'da barındırılmaktadır.",
@@ -351,9 +349,8 @@ export const dict = {
   "go.faq.a6": "Daha fazla kullanıma ihtiyacınız varsa, hesabınıza kredi yükleyebilirsiniz.",
   "go.faq.q7": "İptal edebilir miyim?",
   "go.faq.a7": "Evet, istediğiniz zaman iptal edebilirsiniz.",
-  "go.faq.q8": "Go'yu diğer kodlama ajanlarıyla kullanabilir miyim?",
+  "go.faq.q8": "Hangi erişim ertelendi?",
-  "go.faq.a8":
+  "go.faq.a8": "Harici ajan ve hizmet hesabı desteği ertelendi.",
-    "Evet, Go'yu herhangi bir ajanla kullanabilirsiniz. Tercih ettiğiniz kodlama ajanındaki kurulum talimatlarını izleyin.",
 
   "go.faq.q9": "Ücretsiz modeller ve Go arasındaki fark nedir?",
   "go.faq.a9":
@@ -660,8 +657,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Aylık Kullanım",
   "workspace.lite.subscription.resetsIn": "Sıfırlama süresi",
   "workspace.lite.subscription.useBalance": "Kullanım limitlerine ulaştıktan sonra mevcut bakiyenizi kullanın",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "Go modellerini kullanmak için opencode sağlayıcısını seçin.",
-    'Go modellerini kullanmak için opencode yapılandırmanızda "OpenCode Go"\'yu sağlayıcı olarak seçin.',
   "workspace.lite.providers.title": "Sağlayıcılar",
   "workspace.lite.providers.description": "Yönlendirme için hangi sağlayıcıların kullanılacağını kontrol edin.",
   "workspace.lite.providers.useChina": "Çin'de barındırılan modelleri etkinleştir",

packages/console/app/src/i18n/uk.ts

@@ -267,8 +267,7 @@ export const dict = {
   "go.cta.text": "Підписатися на Go",
   "go.cta.price": "$10/місяць",
   "go.cta.promo": "$5 перший місяць",
-  "go.pricing.body":
+  "go.pricing.body": "Go починається від $5 за перший місяць, потім $10/місяць.",
-    "Використовуйте з будь-яким агентом. $5 перший місяць, потім $10/місяць. Поповнюйте за потреби. Скасуйте в будь-який час.",
   "go.graph.free": "Безкоштовно",
   "go.graph.freePill": "Big Pickle та безкоштовні моделі",
   "go.graph.go": "Go",
@@ -307,16 +306,15 @@ export const dict = {
   "go.problem.item4":
     "Включає Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash та Hy3",
   "go.how.title": "Як працює Go",
-  "go.how.body":
+  "go.how.body": "Go починається від $5 за перший місяць, потім $10/місяць.",
-    "Go починається від $5 за перший місяць, потім $10/місяць. Використовуйте з OpenCode або будь-яким агентом.",
+  "go.how.step1.title": "Підпишіться на Go",
-  "go.how.step1.title": "Створіть обліковий запис",
+  "go.how.step1.beforeLink": "в",
-  "go.how.step1.beforeLink": "дотримуйтесь",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step1.link": "інструкцій з налаштування",
+  "go.how.step2.title": "Підключити OpenCode",
-  "go.how.step2.title": "Підпишіться на Go",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.link": "$5 перший місяць",
+  "go.how.step2.afterLink": "і підтвердьте пристрій у браузері",
-  "go.how.step2.afterLink": "потім $10/місяць із щедрими лімітами",
   "go.how.step3.title": "Почніть кодувати",
-  "go.how.step3.body": "з надійним доступом до моделей з відкритим кодом",
+  "go.how.step3.body": "з провайдером opencode",
   "go.privacy.title": "Ваша конфіденційність важлива для нас",
   "go.privacy.body":
     "План розроблений переважно для міжнародних користувачів, з моделями, розміщеними в США, ЄС та Сінгапурі для стабільного глобального доступу.",
@@ -349,8 +347,8 @@ export const dict = {
   "go.faq.a6": "Якщо вам потрібно більше використання, ви можете поповнити баланс в обліковому записі.",
   "go.faq.q7": "Чи можна скасувати?",
   "go.faq.a7": "Так, ви можете скасувати в будь-який час.",
-  "go.faq.q8": "Чи можна використовувати Go з іншими агентами кодування?",
+  "go.faq.q8": "Яку підтримку відкладено?",
-  "go.faq.a8": "Так, ви можете використовувати Go з будь-яким агентом.",
+  "go.faq.a8": "Підтримку зовнішніх агентів і сервісних акаунтів відкладено.",
 
   "go.faq.q9": "Яка різниця між безкоштовними моделями та Go?",
   "go.faq.a9":
@@ -657,7 +655,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "Місячне використання",
   "workspace.lite.subscription.resetsIn": "Скидається через",
   "workspace.lite.subscription.useBalance": "Використовуйте доступний баланс після досягнення лімітів",
-  "workspace.lite.subscription.selectProvider": 'Виберіть "OpenCode Go" як провайдера в конфігурації opencode.',
+  "workspace.lite.subscription.selectProvider": "Виберіть провайдер opencode, щоб використовувати моделі Go.",
   "workspace.lite.providers.title": "Провайдери",
   "workspace.lite.providers.description": "Керуйте провайдерами, які використовуються для маршрутизації.",
   "workspace.lite.providers.useChina": "Увімкнути моделі, розміщені в Китаї",

packages/console/app/src/i18n/zh.ts

@@ -256,7 +256,7 @@ export const dict = {
   "go.cta.text": "订阅 Go",
   "go.cta.price": "$10/月",
   "go.cta.promo": "首月 $5",
-  "go.pricing.body": "可配合任何代理使用。首月 $5，之后 $10/月。如有需要可充值。随时取消。",
+  "go.pricing.body": "Go 起价为首月 $5，之后 $10/月。",
   "go.graph.free": "免费",
   "go.graph.freePill": "Big Pickle 和免费模型",
   "go.graph.go": "Go",
@@ -295,15 +295,15 @@ export const dict = {
   "go.problem.item4":
     "包含 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3",
   "go.how.title": "Go 如何工作",
-  "go.how.body": "Go 起价为首月 $5，之后 $10/月。您可以将其与 OpenCode 或任何代理搭配使用。",
+  "go.how.body": "Go 起价为首月 $5，之后 $10/月。",
-  "go.how.step1.title": "创建账户",
+  "go.how.step1.title": "订阅 Go",
-  "go.how.step1.beforeLink": "遵循",
+  "go.how.step1.beforeLink": "在",
-  "go.how.step1.link": "设置说明",
+  "go.how.step1.link": "OpenCode Console",
-  "go.how.step2.title": "订阅 Go",
+  "go.how.step2.title": "连接 OpenCode",
-  "go.how.step2.link": "首月 $5",
+  "go.how.step2.link": "opencode2 console login",
-  "go.how.step2.afterLink": "之后 $10/月，额度充裕",
+  "go.how.step2.afterLink": "并在浏览器中批准设备",
   "go.how.step3.title": "开始编程",
-  "go.how.step3.body": "可靠访问开源模型",
+  "go.how.step3.body": "使用 opencode 提供商",
   "go.privacy.title": "您的隐私对我们很重要",
   "go.privacy.body": "该计划主要面向国际用户设计，模型部署在美国、欧盟和新加坡，以确保稳定的全球访问。",
   "go.privacy.contactAfter": "如果您有任何问题。",
@@ -332,8 +332,8 @@ export const dict = {
   "go.faq.a6": "如果您需要更多用量，可以在账户中充值余额。",
   "go.faq.q7": "我可以取消吗？",
   "go.faq.a7": "可以，您可以随时取消。",
-  "go.faq.q8": "我可以在其他编程代理中使用 Go 吗？",
+  "go.faq.q8": "哪些访问支持尚未推出？",
-  "go.faq.a8": "可以，您可以在任何代理中使用 Go。请遵循您首选编程代理中的设置说明。",
+  "go.faq.a8": "外部代理和服务账户支持尚未推出。",
 
   "go.faq.q9": "免费模型和 Go 之间的区别是什么？",
   "go.faq.a9":
@@ -634,8 +634,7 @@ export const dict = {
   "workspace.lite.subscription.monthlyUsage": "每月用量",
   "workspace.lite.subscription.resetsIn": "重置于",
   "workspace.lite.subscription.useBalance": "达到使用限额后使用您的可用余额",
-  "workspace.lite.subscription.selectProvider":
+  "workspace.lite.subscription.selectProvider": "选择 opencode 提供商以使用 Go 模型。",
-    "在你的 opencode 配置中选择「OpenCode Go」作为提供商，即可使用 Go 模型。",
   "workspace.lite.providers.title": "提供商",
   "workspace.lite.providers.description": "控制用于路由的提供商。",
   "workspace.lite.providers.useChina": "启用部署在中国的模型",