fix(tui): apply cursor config in mini

refactor(ai): flatten provider request options (#43513 )
docs(ai): remove stale design documents (#43512 )
2026-08-20 08:36:03 +00:00 · 2026-08-19 21:47:19 +00:00 · 2026-08-19 17:32:29 -04:00 · 2026-08-19 17:32:23 -04:00 · 2026-08-19 16:40:21 -04:00 · 2026-08-19 15:25:23 -05:00
76 changed files with 521 additions and 2371 deletions
@@ -49,7 +49,7 @@ Filter or narrow `LLMEvent` streams with `LLMEvent.is.*` (camelCase guards, e.g.

 ### Routes

-A route is the registered, runnable composition of four orthogonal pieces:
+A route is the runnable composition of four orthogonal pieces:

 - **`Protocol`** (`src/route/protocol.ts`) — semantic API contract. Owns request body construction (`body.from`), the body schema (`body.schema`), the streaming-event schema (`stream.event`), and the event-to-`LLMEvent` state machine (`stream.step`). `Route.make(...)` validates and JSON-encodes the body from `body.schema` and decodes frames with `stream.event`. Examples: `OpenAIChat.protocol`, `OpenResponses.protocol`, `OpenAIResponses.protocol`, `AnthropicMessages.protocol`, `Gemini.protocol`, `BedrockConverse.protocol`.
 - **`Endpoint`** (`src/route/endpoint.ts`) — URL construction. The host, path, and route query live on the endpoint. `Endpoint.path("/chat/completions", { baseURL })` is the common case; pass a function for paths that embed the model id or a body field (e.g. `Endpoint.path(({ body }) => `/model/${body.modelId}/converse-stream`)`).
@@ -66,7 +66,7 @@ export const route = Route.make({
  endpoint: Endpoint.path("/chat/completions", {
    baseURL: "https://api.openai.com/v1",
  }),
-  auth: Auth.bearer(),
+  auth: Auth.bearer(Auth.config("OPENAI_API_KEY")),
  framing: Framing.sse,
 })
 ```
@@ -79,7 +79,7 @@ When a provider supports multiple physical transports, selection remains executi

 ### URL Construction

-`Endpoint` owns `{ baseURL, path, query }`. Each protocol route includes a canonical endpoint when the provider has one (e.g. `https://api.openai.com/v1`); provider helpers override endpoint fields by configuring the route before selecting a model. Routes that have no canonical URL (OpenAI-compatible Chat, GitHub Copilot) require configuration before execution.
+`Endpoint` owns `{ baseURL, path, query }`. Each protocol route includes a canonical endpoint when the provider has one (e.g. `https://api.openai.com/v1`); provider helpers override endpoint fields by configuring the route before selecting a model. Generic OpenAI-compatible routes have no canonical URL and require configuration before execution.

 For providers where the URL is derived from typed inputs (Azure resource name, Bedrock region), the provider helper configures the route endpoint before calling `.model(...)`. Use `AtLeastOne<T>` from `route/auth-options.ts` for inputs that accept either of two derivation paths (Azure: `resourceName` or `baseURL`).

@@ -126,54 +126,6 @@ Keep semantic APIs as separate entrypoints, such as OpenAI `chat` and `responses

 Do not expose `Route` in provider package settings. Route composition stays an implementation detail behind `model(...)`.

-### Folder layout
-
-```
-packages/ai/src/
-  schema/                   canonical Schema model, split by concern
-    ids.ts                  branded IDs, literal types, ProviderMetadata
-    options.ts              Generation/Provider/Http options, Limits, LanguageModel, cache policy
-    messages.ts             content parts, Message, ToolDefinition, LLMRequest
-    events.ts               Usage, individual events, LLMEvent, LLMResponse
-    errors.ts               error reasons, AIError, 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.stream/generate
-    executor.ts             RequestExecutor service + transport error mapping
-    protocol.ts             Protocol type + Protocol.make
-    endpoint.ts             Endpoint type + Endpoint.path
-    auth.ts                 Auth type + Auth.bearer / Auth.apiKeyHeader / Auth.passthrough
-    auth-options.ts         ProviderAuthOption shape, AuthOptions.bearer, AtLeastOne helper
-    framing.ts              Framing type + Framing.sse
-    transport/              transport implementations
-      index.ts              Transport execution types + HttpTransport / WebSocketTransport namespaces
-      websocket-channel.ts  generic sequential channel executor/driver contract
-      http.ts               HttpTransport.httpJson — POST + framing
-      websocket.ts          direct one-request channel executor + raw socket adapter
-  protocols/
-    shared.ts               ProviderShared toolkit used inside protocol impls
-    openai-chat.ts          protocol + route (compose OpenAIChat.protocol)
-    open-responses.ts         provider-neutral Responses protocol baseline
-    open-responses-channel.ts provider-neutral Responses WebSocket transport factory
-    openai-responses.ts       OpenAI tools/events and channel policy composed over OpenResponses
-    anthropic-messages.ts
-    gemini.ts
-    bedrock-converse.ts
-    bedrock-event-stream.ts framing for AWS event-stream binary frames
-    openai-compatible-chat.ts route that reuses OpenAIChat.protocol, no canonical URL
-    openai-compatible-responses.ts deployment adapter that reuses OpenResponses.protocol, no canonical URL
-    utils/                  per-protocol helpers (auth, cache, media, tool-stream, ...)
-  providers/
-    openai-compatible.ts    generic Chat helper + family model helpers
-    openai-compatible-responses.ts generic Responses helper
-    openai-compatible-profile.ts family defaults (deepseek, togetherai, ...)
-    azure.ts / amazon-bedrock.ts / cloudflare.ts / github-copilot.ts / google.ts / xai.ts / openai.ts / anthropic.ts / openrouter.ts
-  tool.ts                   typed tool() helper
-  tool-runtime.ts           narrow one-call typed tool dispatcher
-```
-
 The dependency arrow points down: `providers/*.ts` files import protocol routes and auth-option utilities; protocol modules import `endpoint`, `auth`, `framing`, and transport pieces. Protocols do not import provider facades. Lower-level modules know nothing about provider catalog metadata. `OpenAIResponses` composes the provider-neutral `OpenResponses` protocol; the baseline never imports the OpenAI extension.

 ### Shared protocol helpers
@@ -221,19 +173,17 @@ Routes lower these into provider-native assistant tool-call messages and tool-re

 ### Tool dispatch

-`LLM.stream(request)` and `LLM.generate(request)` each run exactly one provider turn. Add tool schemas to `request.tools` with `Tool.toDefinitions(tools)`. When a caller wants the package's typed one-call execution behavior, pass each canonical local `tool-call` event to `ToolRuntime.dispatch(tools, call)`.
+`LLM.stream(request)` and `LLM.generate(request)` each run exactly one model call. Add tool schemas to `request.tools` with `Tool.toDefinitions(tools)`. When a caller wants the package's typed one-call execution behavior, pass each canonical local `tool-call` event to `ToolRuntime.dispatch(tools, call)`.

 ```ts
-const get_weather = tool({
+const get_weather = Tool.make({
  description: "Get current weather for a city",
  parameters: Schema.Struct({ city: Schema.String }),
  success: Schema.Struct({ temperature: Schema.Number, condition: Schema.String }),
-  execute: ({ city }) =>
+  execute: (input) =>
    Effect.gen(function* () {
-      // city: string  — typed from parameters Schema
-      const data = yield* WeatherApi.fetch(city)
+      const data = yield* WeatherApi.fetch(input.city)
      return { temperature: data.temp, condition: data.cond }
-      // return type checked against success Schema
    }),
 })

@@ -237,11 +237,11 @@ Prompt caching is **on by default**. Every `LLMRequest` resolves to `cache: "aut

 ### Auto placement

-`"auto"` places up to four breakpoints — the last tool definition, the first system part, the last system part when distinct, and the final message boundary. These expose successively larger reusable prefixes for tools, the base agent, project instructions, and the active conversation. The rolling final-message boundary is the load-bearing detail in tool loops: it advances on every request so the previous cache entry stays within Anthropic's 20-block lookback.
+`"auto"` places up to four breakpoints — the last tool definition, the first system part, the last system part when distinct, and the final message boundary. These expose successively larger reusable prefixes for tools, the base agent, project instructions, and the active conversation. The rolling final-message boundary advances on every request so recent conversation prefixes remain reusable during tool loops.

 Tools precede every system and conversation block in the provider prefix, so tool definitions must remain byte-stable and deterministically ordered for downstream breakpoints to remain reusable.

-The math justifies the default: Anthropic's 5-minute cache write is 1.25× base, read is 0.1×, so a single reuse within 5 minutes already wins. One-shot completions below the per-model minimum-cacheable-token threshold silently no-op on the wire, so the worst case is harmless.
+Requests below a provider's minimum cacheable size simply do not produce a reusable cache entry.

 ### Opting out

@@ -285,6 +285,7 @@ LLM.request({
 | ----------------------- | ------------------------------------------------------------------------- |
 | Anthropic Messages      | emits up to 4 `cache_control` markers (4-breakpoint cap enforced)         |
 | Bedrock Converse        | emits up to 4 `cachePoint` blocks (4-breakpoint cap enforced)             |
+| OpenRouter              | emits up to 4 `cache_control` markers                                     |
 | OpenAI Chat / Responses | no-op (implicit caching above 1024 tokens)                                |
 | Gemini                  | no-op (implicit caching on 2.5+; explicit `CachedContent` is out-of-band) |

@@ -371,11 +372,23 @@ Request options in order of stability:

 1. **`generation`** — portable knobs (`maxTokens`, `temperature`, `topP`, `topK`, penalties, seed, stop).
 2. **`promptCacheKey`** — stable cache affinity lowered by every protocol that supports it.
-3. **`providerOptions: { <provider>: {...} }`** — typed-at-the-facade provider-specific knobs (OpenAI `store`, Anthropic `thinking`, Gemini `thinkingConfig`, OpenRouter routing).
+3. **`providerOptions: { ... }`** — flat options inferred from the selected model (OpenAI `store`, Anthropic `thinking`, Gemini `thinkingConfig`, OpenRouter routing).
 4. **`http: { body, headers, query }`** — last-resort serializable overlays merged into the final HTTP request. Reach for this only when a stable typed path doesn't yet exist.

 Route/provider defaults are overridden by request-level values for each axis.

+The selected model supplies the provider-specific option type, so per-request overrides stay flat while the canonical runtime request remains provider-neutral:
+
+```ts
+LLM.request({
+  model,
+  prompt,
+  providerOptions: {
+    reasoningEffort: "low",
+  },
+})
+```
+
 ## Routes

 Adding a new model or deployment is usually 5-15 lines using `Route.make({ protocol, endpoint, auth, framing, ... })`. The route owns endpoint/auth/framing and the protocol owns body construction plus stream parsing. Transports are reusable IO templates that receive route endpoint/auth at compile time. Capability/catalog metadata lives outside this low-level package; unsupported request shapes fail during protocol lowering. See `AGENTS.md` for the architectural detail.
@@ -387,6 +400,5 @@ This package is built on Effect. Public methods return `Effect` or `Stream`; pro
 ## See also

 - `AGENTS.md` — architecture, route construction, contributor guide
- `STATUS.md` — native provider parity status and AI SDK migration gaps
 - `example/tutorial.ts` — runnable end-to-end walkthrough
 - `test/provider/*.test.ts` — fixture-first protocol tests; `*.recorded.test.ts` files cover live cassettes
@@ -1,107 +0,0 @@
-# LLM Provider Parity Status
-
-Last reviewed: 2026-08-07
-
-This file tracks the gap between the native `@opencode-ai/ai` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.
-
-## Existing Status Sources
-
-| File                                | What it tracks                                                          | Limitation                                              |
-| ----------------------------------- | ----------------------------------------------------------------------- | ------------------------------------------------------- |
-| `packages/ai/DESIGN.md`             | Future clean-break API proposal for `@opencode-ai/ai`.                  | Not a provider parity tracker.                          |
-| `packages/ai/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
-
-## Current Implementation Snapshot
-
-| Native slice                       | Source                                                                                                                            | Current state                                                                                                                                                            | Main gaps                                                                                                                                                                                                                                                 |
-| ---------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| OpenAI Chat                        | `src/protocols/openai-chat.ts`, `src/providers/openai.ts`                                                                         | Usable. Streams text, reasoning deltas, tool calls, usage, images, and common generation controls.                                                                       | No typed structured-output / `response_format` path. Limited typed OpenAI option surface compared with SDK escape hatches.                                                                                                                                |
-| OpenAI Responses                   | `src/protocols/open-responses.ts`, `src/protocols/openai-responses.ts`, `src/providers/openai.ts`                                 | Usable over HTTP by default, with optional per-call WebSocket channel execution on the same model and route identity.                                                    | No incremental `previous_response_id` path or persistent Session channel manager yet. Typed options cover only a subset of Responses fields. Structured output is still mostly synthetic-tool based.                                                      |
-| OpenAI-compatible Chat             | `src/protocols/openai-compatible-chat.ts`, `src/providers/openai-compatible.ts`                                                   | Usable for generic Chat and several profiles: Baseten, Cerebras, DeepInfra, DeepSeek, Fireworks, Groq, TogetherAI.                                                       | Family quirks are mostly endpoint defaults, not full typed behavior.                                                                                                                                                                                      |
-| Open Responses-compatible          | `src/protocols/open-responses.ts`, `src/protocols/openai-compatible-responses.ts`, `src/providers/openai-compatible-responses.ts` | Usable for deployments that implement the provider-neutral Open Responses protocol. The deployment adapter does not inherit OpenAI tools, events, metadata, or defaults. | No named family profiles or recorded deployment coverage yet.                                                                                                                                                                                             |
-| Anthropic-compatible Messages      | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic-compatible.ts`                                                    | Usable for deployments that implement the Anthropic Messages wire protocol. Named Anthropic composes this base; MiniMax M3 has recorded text and tool-loop coverage.     | No named compatible family profiles yet.                                                                                                                                                                                                                  |
-| Anthropic Messages                 | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic.ts`                                                               | Usable. Supports tools, thinking, cache control, images, server-hosted tool events, and usage.                                                                           | Provider option surface is small. Beta/header handling, metadata, and newer Messages fields need a typed parity pass.                                                                                                                                     |
-| Gemini Developer API               | `src/protocols/gemini.ts`, `src/providers/google.ts`                                                                              | Usable for Google API key flow. Supports text, images, tools, thinking signatures, and cache usage.                                                                      | This is not Vertex. Typed provider options are narrow; many Gemini request fields currently require raw `http.body` overlays.                                                                                                                             |
-| Vertex Gemini                      | `src/protocols/gemini.ts`, `src/providers/google-vertex.ts`                                                                       | Usable through API-key express mode, explicit OAuth tokens, or ADC with project/location endpoint derivation, including tuned `endpoints/...` deployments.               | Core runner/catalog mapping and recorded provider coverage are missing.                                                                                                                                                                                   |
-| Vertex Chat                        | `src/protocols/openai-chat.ts`, `src/providers/google-vertex-chat.ts`                                                             | Usable for MaaS models through OpenAI-compatible Chat Completions with explicit OAuth tokens or ADC and project/location endpoint derivation.                            | Core runner/catalog mapping and recorded provider coverage are missing; MaaS family-specific request parity needs review.                                                                                                                                 |
-| Vertex Responses                   | `src/protocols/open-responses.ts`, `src/providers/google-vertex-responses.ts`                                                     | Usable for Grok models through Open Responses with explicit OAuth tokens or ADC, project/location endpoint derivation, and an explicit `store: false` Vertex default.    | Core runner/catalog mapping and recorded provider coverage are missing; stateful continuation is not supported by Vertex.                                                                                                                                 |
-| Vertex Messages                    | `src/protocols/anthropic-messages.ts`, `src/providers/google-vertex-messages.ts`                                                  | Usable through explicit OAuth tokens or ADC, including global, regional, and `eu`/`us` multi-region endpoints.                                                           | Core runner/catalog mapping and recorded provider coverage are missing; Vertex-specific hosted-tool parity needs review.                                                                                                                                  |
-| Bedrock Converse                   | `src/protocols/bedrock-converse.ts`, `src/providers/amazon-bedrock.ts`                                                            | Partial but real. Supports AWS event-stream framing, SigV4 with supplied credentials, bearer auth, tools, reasoning signatures, media, cache points, and recorded tests. | Native facade does not mirror the AI SDK plugin's default AWS credential chain/profile behavior. Runner/catalog mapping is missing. Guardrails, inference profiles, region-specific model ID fixes, and model-specific request fields need a parity pass. |
-| Azure OpenAI                       | `src/providers/azure.ts` using OpenAI Chat/Responses protocols                                                                    | Partial. Supports resource/base URL setup, API key auth, API version query, Chat, and Responses selectors.                                                               | Core runner does not map `@ai-sdk/azure` to this native facade. AAD/token auth and Azure-specific endpoint variants need review.                                                                                                                          |
-| Cloudflare AI Gateway / Workers AI | `src/providers/cloudflare.ts`                                                                                                     | Present via OpenAI-compatible Chat routes.                                                                                                                               | Useful but not part of the critical AI SDK replacement set yet. Needs per-product recorded coverage before relying on it broadly.                                                                                                                         |
-| OpenRouter                         | `src/providers/openrouter.ts`                                                                                                     | Present with OpenRouter-specific usage/reasoning/prompt-cache options over Chat.                                                                                         | Responses-style OpenRouter support is absent.                                                                                                                                                                                                             |
-| xAI                                | `src/providers/xai.ts`                                                                                                            | Present with Responses and Chat selectors.                                                                                                                               | Needs package-parity review against the AI SDK xAI provider.                                                                                                                                                                                              |
-| GitHub Copilot                     | `src/providers/github-copilot.ts`                                                                                                 | Present as explicit-base-URL OpenAI Chat/Responses facade.                                                                                                               | Runtime/catalog integration remains specialized and should stay separate from public OpenAI-compatible defaults.                                                                                                                                          |
-
-## V2 Runner Status
-
-`packages/core/src/session/runner/model.ts` currently resolves only this native subset from catalog `aisdk` metadata:
-
-| Catalog API                                         | Native route used today      |
-| --------------------------------------------------- | ---------------------------- |
-| `aisdk:@ai-sdk/openai`                              | `OpenAIResponses.route`      |
-| `aisdk:@ai-sdk/anthropic`                           | `AnthropicMessages.route`    |
-| `aisdk:@ai-sdk/openai-compatible` with explicit URL | `OpenAICompatibleChat.route` |
-
-Other `aisdk:` packages, including Google Vertex, Azure, and Bedrock, currently fall back through the AI SDK loader in the production runner. The dependency-free resolver seam rejects them with `SessionRunnerModel.UnsupportedPackageError`; they are not native route mappings yet.
-
-## AI SDK Package Parity Matrix
-
-| AI SDK package                    | Intended native target                                    | Status           | Biggest gaps                                                                                                                                                                                                        |
-| --------------------------------- | --------------------------------------------------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| `@ai-sdk/openai`                  | `OpenAI.chat`, `OpenAI.responses`                         | Partial / usable | Add complete typed option coverage, structured output strategy, explicit Responses continuation support, and runner execution policy for optional WebSocket channels.                                               |
-| `@ai-sdk/openai-compatible`       | Generic OpenAI-compatible Chat and Responses              | Partial / usable | Decide per-family namespace/profile behavior and runner API selection for providers that support Responses versus Chat only.                                                                                        |
-| `@ai-sdk/anthropic`               | `AnthropicMessages`                                       | Partial / usable | Finish Messages API parity for headers/betas/metadata/newer fields and document hosted-tool continuation expectations.                                                                                              |
-| `@ai-sdk/google`                  | Gemini Developer API                                      | Partial / usable | Add typed options for safety, response schema/modalities, cached content, grounding/search/code execution, and non-text output modes where supported.                                                               |
-| `@ai-sdk/google-vertex`           | Vertex Gemini namespace/facade                            | Partial / usable | Add runner/catalog mapping, recorded coverage, and broader provider-option parity.                                                                                                                                  |
-| `@ai-sdk/google-vertex/anthropic` | Anthropic Messages over Vertex namespace/facade           | Partial / usable | Add runner/catalog mapping, recorded coverage, and Vertex-specific hosted-tool parity.                                                                                                                              |
-| `@ai-sdk/google-vertex/maas`      | Vertex Chat                                               | Partial / usable | Add runner/catalog mapping, recorded coverage, and MaaS family-specific request parity.                                                                                                                             |
-| `@ai-sdk/google-vertex/xai`       | Vertex Chat / Responses                                   | Partial / usable | Decide Chat/Responses selection for catalog models, add runner mapping and recorded coverage, and review xAI-specific request options.                                                                              |
-| `@ai-sdk/azure`                   | Azure OpenAI Chat/Responses facade                        | Partial          | Map runner/catalog metadata to native Azure, handle resourceName/baseURL/apiVersion variants, add AAD/token auth story, and verify Chat vs Responses deployment selection.                                          |
-| `@ai-sdk/amazon-bedrock`          | Bedrock Converse                                          | Partial          | Add default AWS credential chain/profile support, region/inference-profile model ID handling, provider option parity via `additionalModelRequestFields`, guardrails/performance config, and runner/catalog mapping. |
-| `@ai-sdk/amazon-bedrock/mantle`   | Bedrock Mantle OpenAI-compatible Chat/Responses namespace | Partial / usable | Add default AWS credential chain/profile support; native catalog mapping currently requires bearer auth or explicit static credentials.                                                                             |
-
-## Highest-Risk Gaps
-
-1. Runner support is narrower than the LLM package. The package has native provider facades for Google, Azure, and Bedrock, but the V2 Session runner only maps OpenAI, Anthropic, and explicit OpenAI-compatible Chat from `aisdk` catalog metadata.
-2. The Open Responses adapter is available through a separate package entrypoint, but the V2 runner still maps `@ai-sdk/openai-compatible` to Chat only. Catalog selection must become API-aware before Responses deployments can use it.
-3. Bedrock native auth is not AI SDK parity. The AI SDK plugin uses the default AWS provider chain, profile, container credentials, and Bedrock bearer token env behavior. Native Bedrock currently expects explicit credentials or bearer auth on the facade.
-4. Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages now have native package entrypoints, but the core runner does not map catalog metadata to them yet and recorded provider coverage is still missing.
-5. Azure is only a provider facade, not a full runtime replacement. Native Azure exists, but the catalog runner does not select it, and token auth/resource variants need review.
-6. Provider option typing is uneven. OpenAI, Anthropic, Gemini, Bedrock, and OpenRouter each expose a small typed subset plus raw HTTP overlays; this is useful but not equivalent to AI SDK provider option coverage.
-7. Structured output is not provider-native yet. `LLM.generateObject` still uses a synthetic tool strategy, while the future design expects native structured output where reliable and tool fallback where needed.
-8. Package/namespace boundaries for the current native loading set are explicit in docs and exports. Other exported provider facades are not catalog package entrypoints until they implement the contract. Vertex xAI still needs catalog API selection.
-9. Recorded coverage is uneven. OpenAI, Anthropic, Gemini, Bedrock Converse, Bedrock Mantle, Cloudflare, OpenRouter, and several OpenAI-compatible Chat providers have cassettes. Azure and Vertex still need first-class recorded scenarios before switching defaults.
-
-## Native Namespace Shape
-
-These are implementation/API slices, not separate npm packages.
-
-| API slice                     | Package-like entrypoint                                     | Purpose                                                                                    |
-| ----------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
-| OpenAI Chat                   | `@opencode-ai/ai/providers/openai/chat`                     | OpenAI `/chat/completions` semantics.                                                      |
-| OpenAI Responses              | `@opencode-ai/ai/providers/openai/responses`                | OpenAI `/responses` semantics with HTTP default and optional per-call WebSocket execution. |
-| OpenAI-compatible Chat        | `@opencode-ai/ai/providers/openai-compatible`               | Generic OpenAI-compatible `/chat/completions`.                                             |
-| Open Responses-compatible     | `@opencode-ai/ai/providers/openai-compatible/responses`     | Generic provider-neutral `/responses`.                                                     |
-| Anthropic-compatible Messages | `@opencode-ai/ai/providers/anthropic-compatible`            | Generic Anthropic-compatible `/messages`.                                                  |
-| Anthropic Messages            | `@opencode-ai/ai/providers/anthropic`                       | Anthropic Messages API.                                                                    |
-| Gemini Developer API          | `@opencode-ai/ai/providers/google`                          | Google AI Studio Gemini API.                                                               |
-| Vertex Gemini                 | `@opencode-ai/ai/providers/google-vertex/gemini`            | Vertex Gemini API; `providers/google-vertex` is the default alias.                         |
-| Vertex Chat                   | `@opencode-ai/ai/providers/google-vertex/chat`              | Vertex OpenAI-compatible Chat Completions for MaaS models.                                 |
-| Vertex Responses              | `@opencode-ai/ai/providers/google-vertex/responses`         | Vertex Open Responses for Grok models.                                                     |
-| Vertex Messages               | `@opencode-ai/ai/providers/google-vertex/messages`          | Vertex-hosted Anthropic Messages API.                                                      |
-| Bedrock Converse              | `@opencode-ai/ai/providers/amazon-bedrock`                  | AWS Bedrock Converse API.                                                                  |
-| Bedrock Mantle Chat           | `@opencode-ai/ai/providers/amazon-bedrock/mantle/chat`      | AWS Bedrock Mantle OpenAI-compatible Chat API.                                             |
-| Bedrock Mantle Responses      | `@opencode-ai/ai/providers/amazon-bedrock/mantle/responses` | AWS Bedrock Mantle OpenAI-compatible Responses API.                                        |
-| Azure OpenAI Chat             | `@opencode-ai/ai/providers/azure/chat`                      | Azure specialization of OpenAI Chat.                                                       |
-| Azure OpenAI Responses        | `@opencode-ai/ai/providers/azure/responses`                 | Azure specialization of OpenAI Responses.                                                  |
-
-## Suggested Next Work Slices
-
-1. Add native runner/catalog mappings for `@ai-sdk/azure`, `@ai-sdk/google`, and `@ai-sdk/amazon-bedrock` where the existing native facades are already close.
-2. Add API-aware runner/catalog selection between OpenAI-compatible Chat and Responses.
-3. Bring Bedrock native auth/config to AI SDK parity: region, profile, default AWS credential chain, bearer token env, endpoint override, and cross-region inference profile handling.
-4. Add runner/catalog mappings and recorded scenarios for the native Vertex Gemini, Chat, Responses, and Messages entrypoints.
-5. Decide Chat/Responses selection for `@ai-sdk/google-vertex/xai` catalog models.
-6. Expand typed provider options from the existing V1 lowerer knowledge in `packages/core/src/v1/config/provider-options.ts` before adding more raw overlay examples.
-7. Add recorded provider tests for Azure, Vertex Gemini, Vertex Chat, Vertex Responses, Vertex Messages, and Bedrock credential-chain behavior before making native runtime the default for those packages.
@@ -1,606 +0,0 @@
-# LLM Call Site Sketches
-
-Scratchpad for examples first, abstractions second. Current direction: routes
-execute, provider facades organize configured route sets, and models carry route
-values directly.
-
-## Conversation Summary
-
-Kit and Aidan want provider-specific LLM behavior to move out of opencode's AI
-SDK transform path and into `packages/ai` where possible. The goal is not a big
-generic transform layer; the goal is small composable route definitions backed by
-recorded golden tests.
-
-Things to keep testing against:
-
- Cache placement: `cache: "auto"`, manual cache breakpoints, provider cache usage.
- Images: golden image tests for providers/protocols that claim image support.
- Reasoning: canonical reasoning parts/events versus provider-native knobs.
- Auth: bearer, custom headers, multiple credentials, query auth, SigV4, OAuth, no auth.
- OpenAI-compatible providers: DeepSeek, Together, Groq, Alibaba/DashScope, custom routers.
- Provider switching: stale signatures, encrypted reasoning, provider metadata, incompatible parts.
- Error quality: typed errors instead of generic SDK/server failures.
-
-## Final Guide: Routes Execute, Providers Organize
-
-Do not introduce a first-class `Deployment` abstraction unless it gains real
-semantics. Provider facades are ergonomic configured route groups, not execution
-registries. The executable/composable thing is still a route. Do not make route
-construction publish to a global registry; models should carry their route value
-directly.
-
-Keep durable identity separate from runtime capability:
-
- Durable identity is small serializable data like `{ providerID, modelID }` for
-  config, sessions, logs, and catalogs.
- Runtime capability is a `LanguageModel` with a route value, protocol, transport, auth,
-  and defaults. It is allowed to contain functions and schemas.
- If persisted identity needs to become executable, resolve it through an app
-  boundary first. Do not make `LLMRequest` recover behavior from a global route
-  side table.
-
-Keep unconfigured behavior values as values, not factories. A transport like
-`HttpTransport.sseJson` should be a reusable immutable value. Use a function only
-when the caller supplies options or when construction needs fresh state.
-
-Use constants to remove repetition before inventing abstractions. Provider ids
-are branded once per provider facade and reused across routes; a plain exported
-object is enough for the provider-facing API unless a helper earns its keep by
-removing repeated route projection.
-
-Expose default configured provider instances, and put provider-specific setup on
-`.configure(...)`. Model selectors stay pure: `model(id)`, `responses(id)`,
-`chat(id)`, etc. Endpoint/auth/resource/api-version configuration happens before
-model selection, not as a second argument to model selection.
-
-Use provider/product facades consistently:
-
- One coherent provider/product config surface gets one top-level facade.
- APIs/model kinds that share that config are methods on the facade.
- Different products with different required config get separate top-level
-  facades, not a shared namespace with unrelated children.
- Default facades are exposed only when concrete defaults or lazy env/credential
-  defaults make the facade valid.
-
-Examples:
-
-```ts
-OpenAI.responses("gpt-4o")
-OpenAI.chat("gpt-4o")
-
-Azure.configure({ resourceName, apiKey }).responses("my-deployment")
-AmazonBedrock.configure({ region, credentials }).model("anthropic.claude-3-5-sonnet-20241022-v2:0")
-
-CloudflareAIGateway.configure({ accountId, gatewayId, gatewayApiKey, apiKey }).model("openai/gpt-4o")
-CloudflareWorkersAI.configure({ accountId, apiKey }).model("@cf/meta/llama-3.1-8b-instruct")
-
-OpenAICompatible.configure({
-  provider: "custom",
-  baseURL: "https://custom.example/v1",
-  auth: Auth.bearer(apiKey),
-}).model("custom-model")
-```
-
-Standardize the provider facade contract before abstracting construction. A
-plain object is enough at first; add a helper only if repeated route projection
-starts hiding the real provider-specific config.
-
-`Route.with(...)` patch semantics should be boring and explicit:
-
- Omitted fields inherit from the original route.
- `endpoint` patches merge with the existing endpoint, so overriding `baseURL`
-  keeps the existing `path`.
- `endpoint.query` merges by default; later values win.
- `auth` replaces.
- `headers` merge by default; undefined values are omitted.
- `id` is optional in patches. Route ids are diagnostic/provider API labels, not
-  global runtime registry keys.
-
-1. **Route**
-   - route id
-   - provider id
-   - protocol
-   - body schema
-   - body builder
-   - stream event schema
-   - parser/state machine
-   - transport
-     - method / IO shape
-     - framing
-     - request preparation
-     - constants when unconfigured; functions only when configured
-   - endpoint
-     - base URL
-     - static path
-     - body/model-derived path
-     - query params
-   - auth
-     - bearer
-     - custom header
-     - multiple credentials
-     - SigV4
-     - none
-   - defaults
-     - headers
-     - generation defaults
-     - provider options
-     - limits
-2. **Provider Facade**
-   - default configured provider instance
-   - provider-specific `.configure(...)`
-   - plain object/function facade over one or more routes
-   - top-level export only when it represents one coherent config surface
-   - no passive `Provider.make(...)` wrapper unless it gains runtime behavior
-3. **Model Selector**
-   - route/provider-owned selector
-   - accepts model id only
-   - returns executable models
-   - does not accept endpoint/auth/deployment overrides
-4. **Language Model**
-   - model id
-   - route value
-   - provider id
-   - configured route value at selection time
-5. **LLM Request**
-   - model
-   - messages/tools
-   - generation/cache/reasoning/response-format options
-   - request-level HTTP overlays for per-request headers/query/body additions,
-     not provider endpoint/auth reconfiguration
-6. **Compile**
-   - read route from model
-   - merge route defaults and request overrides
-   - build final URL from route endpoint
-   - apply auth from the configured route
-   - build body with protocol
-   - execute with transport and parse with protocol
-
-## Provider Facade Shape
-
-The provider abstraction is a facade over configured routes, not the runtime
-execution mechanism:
-
-```ts
-type ProviderFacade<APIs, Config> = {
-  readonly id: ProviderID
-  readonly model: (id: string) => LanguageModel
-  readonly configure: (input?: Config) => ProviderFacade<APIs, Config>
-} & APIs
-```
-
-Manual construction is fine and should be the default until duplication earns a
-helper:
-
-```ts
-export const OpenAI = {
-  id: openAIProvider,
-  model: openAIResponses.model,
-  responses: openAIResponses.model,
-  chat: openAIChat.model,
-  configure: configureOpenAI,
-} satisfies ProviderFacade<
-  {
-    responses: (id: string) => LanguageModel
-    chat: (id: string) => LanguageModel
-  },
-  OpenAIConfig
->
-```
-
-If several providers repeat the same projection from route values to model
-methods, the helper can stay deliberately tiny:
-
-```ts
-const configureOpenAI = (input: OpenAIConfig = {}) =>
-  Provider.define({
-    id: openAIProvider,
-    routes: {
-      responses: openAIResponses.with(openAIConfig(input)),
-      chat: openAIChat.with(openAIConfig(input)),
-    },
-    default: "responses",
-    configure: configureOpenAI,
-  })
-
-export const OpenAI = configureOpenAI()
-```
-
-`Provider.define(...)` would only project route methods and preserve types:
-
-```ts
-OpenAI.model("gpt-4o")
-OpenAI.responses("gpt-4o")
-OpenAI.chat("gpt-4o")
-OpenAI.configure({ apiKey }).responses("gpt-4o")
-```
-
-It must not register routes, select routes dynamically, or participate in
-execution. Execution still reads the route value carried by the model.
-
-## Ideal Call Sites
-
-Define concrete routes for a native provider, then project them through a
-provider facade:
-
-```ts
-const openAIProvider = ProviderID.make("openai")
-
-const openAIResponses = Route.make({
-  id: "openai-responses",
-  provider: openAIProvider,
-  protocol: OpenAIResponses.protocol,
-  transport: HttpTransport.sseJson,
-  endpoint: {
-    baseURL: "https://api.openai.com/v1",
-    path: "/responses",
-  },
-  auth: Auth.envBearer("OPENAI_API_KEY"),
-})
-
-const openAIChat = Route.make({
-  id: "openai-chat",
-  provider: openAIProvider,
-  protocol: OpenAIChat.protocol,
-  transport: HttpTransport.sseJson,
-  endpoint: {
-    baseURL: "https://api.openai.com/v1",
-    path: "/chat/completions",
-  },
-  auth: Auth.envBearer("OPENAI_API_KEY"),
-})
-
-const openAIConfig = (input: OpenAIConfig) => ({
-  endpoint: input.endpoint,
-  auth: input.auth ?? (input.apiKey ? Auth.bearer(input.apiKey) : undefined),
-  headers: {
-    "OpenAI-Organization": input.organization,
-    "OpenAI-Project": input.project,
-  },
-})
-
-const configureOpenAI = (input: OpenAIConfig = {}) => {
-  const responses = openAIResponses.with(openAIConfig(input))
-  const chat = openAIChat.with(openAIConfig(input))
-
-  return {
-    id: openAIProvider,
-    responses: responses.model,
-    chat: chat.model,
-    model: responses.model,
-    configure: configureOpenAI,
-  }
-}
-
-export const OpenAI = configureOpenAI()
-```
-
-Specialize it functionally for concrete providers:
-
-```ts
-const deepSeekProvider = ProviderID.make("deepseek")
-
-const deepseekChat = openAIChat.with({
-  id: "deepseek-chat",
-  provider: deepSeekProvider,
-  endpoint: {
-    baseURL: "https://api.deepseek.com/v1",
-  },
-  auth: Auth.envBearer("DEEPSEEK_API_KEY"),
-})
-
-const configureDeepSeek = (input: OpenAICompatibleConfig = {}) => {
-  const route = deepseekChat.with({
-    endpoint: input.endpoint,
-    auth: input.auth ?? (input.apiKey ? Auth.bearer(input.apiKey) : undefined),
-  })
-
-  return {
-    id: deepSeekProvider,
-    model: route.model,
-    configure: configureDeepSeek,
-  }
-}
-
-export const DeepSeek = {
-  id: deepSeekProvider,
-  model: deepseekChat.model,
-  configure: configureDeepSeek,
-}
-```
-
-Provider-specific configuration happens before model selection:
-
-```ts
-const deepseek = DeepSeek.configure({
-  endpoint: {
-    baseURL: "https://proxy.example.com/v1",
-  },
-  auth: Auth.bearer(apiKey),
-})
-
-const model = deepseek.model("deepseek-chat")
-```
-
-Final request call site stays boring:
-
-```ts
-const response =
-  yield *
-  LLM.generate(
-    LLM.request({
-      model: DeepSeek.model("deepseek-chat"),
-      prompt: "Hello.",
-    }),
-  )
-```
-
-For direct provider-facade calls, Responses has one semantic model and route:
-
-```ts
-OpenAI.responses("gpt-4o")
-```
-
-The package-like OpenAI Responses entrypoint has the same transport-neutral
-`model(...)` contract:
-
-```ts
-import { model } from "@opencode-ai/ai/providers/openai/responses"
-
-model("gpt-4o", { apiKey })
-```
-
-Vertex keeps Gemini, Chat, Responses, and Messages as separate package-like entrypoints,
-while sharing project/location resolution and ADC authentication internally:
-
-```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/gemini"
-
-model("gemini-3.5-flash", { project, location: "global" })
-```
-
-```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
-
-model("deepseek-ai/deepseek-v3.2-maas", { project, location: "global" })
-```
-
-```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
-
-model("xai/grok-4.20-reasoning", { project, location: "global" })
-```
-
-```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
-
-model("claude-sonnet-4-6", { project, location: "global" })
-```
-
-The client does not require a different public layer for WebSocket execution.
-Responses routes use HTTP by default, and callers may pass a channel executor per
-call. Routes without channel support simply ignore that execution capability.
-
-Azure is a route specialization with auth/path/default changes plus input
-mapping. The public API configures the Azure resource once, then selects
-deployment ids with pure model selectors:
-
-```ts
-const azureProvider = ProviderID.make("azure")
-
-const azureResponses = openAIResponses.with({
-  id: "azure-openai-responses",
-  provider: azureProvider,
-  auth: Auth.envHeader("api-key", "AZURE_OPENAI_API_KEY"),
-})
-
-const configureAzure = (input: AzureConfig = {}) => {
-  const route = azureResponses.with({
-    endpoint: {
-      baseURL:
-        input.baseURL ??
-        Endpoint.envBaseURL(
-          "AZURE_RESOURCE_NAME",
-          (resourceName) => `https://${resourceName}.openai.azure.com/openai/v1`,
-        ),
-      query: { "api-version": input.apiVersion ?? "v1" },
-    },
-    auth: input.apiKey ? Auth.header("api-key", input.apiKey) : Auth.envHeader("api-key", "AZURE_OPENAI_API_KEY"),
-  })
-
-  return {
-    id: azureProvider,
-    model: route.model,
-    responses: route.model,
-    configure: configureAzure,
-  }
-}
-
-export const Azure = configureAzure()
-
-const azure = Azure.configure({
-  resourceName: "my-resource",
-  apiVersion: "v1",
-})
-
-const model = azure.responses("my-deployment")
-```
-
-Default provider facades are only valid when required configuration has a lazy
-default source. `Azure.responses("my-deployment")` can be valid if endpoint
-resolution reads `AZURE_RESOURCE_NAME` lazily and fails with a typed
-configuration error when missing. If a provider has no sensible lazy default,
-do not expose a default model selector; expose only a configured entrypoint.
-
-Cloudflare AI Gateway and Workers AI are separate product facades because their
-configuration surfaces differ. Do not make a root `Cloudflare.configure(...)`
-pretend there is one coherent Cloudflare provider configuration:
-
-```ts
-const cloudflareProvider = ProviderID.make("cloudflare-ai-gateway")
-
-const cloudflareOpenAIChat = openAIChat.with({
-  id: "cloudflare-ai-gateway-openai-chat",
-  provider: cloudflareProvider,
-  auth: Auth.bearerHeader("cf-aig-authorization").andThen(Auth.bearer()),
-})
-
-const configureCloudflareAIGateway = (input: CloudflareAIGatewayConfig) => {
-  const route = cloudflareOpenAIChat.with({
-    endpoint: {
-      baseURL: `https://gateway.ai.cloudflare.com/v1/${input.accountId}/${input.gatewayId}/openai`,
-    },
-    auth: Auth.bearerHeader("cf-aig-authorization", input.gatewayApiKey).andThen(Auth.bearer(input.apiKey)),
-  })
-
-  return {
-    id: cloudflareProvider,
-    model: (modelID: string) => route.model({ id: modelID }),
-    configure: configureCloudflareAIGateway,
-  }
-}
-
-export const CloudflareAIGateway = {
-  id: cloudflareProvider,
-  configure: configureCloudflareAIGateway,
-}
-
-const gateway = CloudflareAIGateway.configure({
-  accountId: "account",
-  gatewayId: "gateway",
-  gatewayApiKey,
-  apiKey,
-})
-
-const model = gateway.model("openai/gpt-4o")
-```
-
-If a Cloudflare product gains a full lazy env default, it can expose a direct
-selector too. Until then, omitting `CloudflareAIGateway.model(...)` makes missing
-account/gateway configuration unrepresentable.
-
-opencode's dynamic runtime should construct executable models at its app
-boundary instead of exposing a giant unstructured public model constructor or a
-generic dynamic resolver:
-
-```ts
-const model =
-  providerID === "azure" ? Azure.configure(resolvedAzureConfig).responses(apiModelID) : OpenAI.responses(apiModelID)
-```
-
-That boundary can branch on durable config/catalog metadata and call typed
-provider APIs directly. Transport selection remains execution policy: a Session
-or other caller may pass a WebSocket channel executor per call without changing
-the model constructed by this boundary.
-
-## Competitive Shape
-
-This follows the strongest parts of adjacent libraries:
-
- AI SDK: configured provider instances expose provider-specific model methods.
- Effect AI: executable models carry provider requirements and can be resolved by
-  an app boundary.
- LiteLLM/opencode config: dynamic `providerID/modelID` branching belongs at the
-  app boundary, not in the typed public provider API or a global runtime
-  resolver.
- LangChain/LlamaIndex: constructor-style config plus model id is convenient,
-  but we avoid making model selection also configure endpoint/auth.
-
-The chosen split is:
-
-```txt
-Route = execution mechanics
-Provider facade = configured route group
-LanguageModel = selected executable model carrying route value
-App boundary = explicit durable-config -> typed-provider call
-```
-
-## What This Removes
-
- No `Provider.make(...)` as a core abstraction.
- No `Provider.make(...)` wrapper just to bind an id to model functions. Use a
-  branded provider id constant and a plain exported provider facade.
- No `Deployment.define(...)` unless future examples force it.
- No global route registry as the normal execution path.
- No import side effects required before a model can execute.
- No duplicate `provider.id` object when selected models already carry provider
-  id.
- No `model(id, overrides)` escape hatch. Model selection takes the model id;
-  endpoint/auth/deployment customization happens by configuring the route first.
- No transport setting on a provider or executable model. OpenAI Responses uses
-  HTTP by default and accepts an optional per-call channel executor as execution policy.
- No separate public `LLMClient.layerWithWebSocket`. The runtime should expose one
-  client layer with the available transport capabilities.
- No executable `ModelRef`. The executable handle is `LanguageModel`; durable model
-  identity stays separate and cannot execute on its own.
-
-## Implementation Todo
-
- [x] Replace the current executable `ModelRef` with `LanguageModel`.
- [x] Change `LanguageModel.route` to carry a route value, not a `RouteID` string.
- [ ] Keep a separate durable model identity type for persisted/session/catalog
-      data, likely `{ providerID, modelID }`, and make it clear that it cannot
-      execute without resolver context.
- [x] Change route model selectors so `route.model(id)` returns an executable
-      model with the route value attached, not a globally registered route id.
- [x] Remove the standalone `Route.model(route, defaults, mapInput)` helper;
-      configured route instances own model selection.
- [x] Remove endpoint/auth escape hatches from route model selection; callers must
-      configure endpoint/auth through `route.with(...)` or provider facades before
-      calling `.model(...)`.
- [x] Remove request-shaping defaults from `LanguageModel`; selected models now carry only
-      id, provider, and configured route while defaults live on routes or requests.
- [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.
- [x] Model endpoint as `{ baseURL, path, query }` on routes, then remove the
-      current split where host/query live on the model and path lives in route
-      transport setup.
- [x] Define `Route.with(...)` with explicit patch semantics for endpoint merge,
-      query merge, header merge, auth replacement, and optional diagnostic id.
- [x] Make unconfigured transports reusable constants such as
-      `HttpTransport.sseJson`; keep transport functions only for configured/fresh
-      state construction.
- [x] Collapse the public WebSocket runtime split so one `LLMClient.layer` accepts
-      optional per-call channel execution without changing route identity.
- [x] Convert OpenAI provider APIs to provider-facade shape:
-      `OpenAI.configure(config).responses(id)` and `.chat(id)`.
- [x] Convert Azure to a configured facade where resource/base URL/api version
-      setup happens before selecting deployment ids.
- [x] Split Cloudflare products into separate facades such as
-      `CloudflareAIGateway` and `CloudflareWorkersAI`; do not expose a shared root
-      config surface unless one product actually exists.
- [x] Migrate remaining built-in provider facades one at a time so configuration
-      happens before model selection and selectors accept only ids:
-      xAI, GitHub Copilot, OpenRouter, OpenAI-compatible families, Anthropic,
-      Google/Gemini, and Amazon Bedrock now use configured facades such as
-      `Provider.configure(options).model(id)` with named selectors where needed.
- [ ] Decide whether a tiny `Provider.define(...)` helper is warranted after two
-      or three provider conversions; start with plain objects if duplication is not
-      yet painful.
- [x] Keep executable model construction transport-neutral at the Session boundary;
-      Session-scoped execution policy supplies channel capability separately.
- [ ] Update tests so direct route/provider tests assert route values are carried
-      by executable models, and opencode/native tests assert boundary-based route
-      selection.
- [ ] Remove compatibility exports or stale docs only after internal call sites
-      are migrated; do not keep duplicate constructor paths without an external
-      compatibility need.
-
-## Open Questions
-
- Default facades with required setup: should providers like Azure and Bedrock
-  expose default model selectors only when all required setup has lazy env or
-  credential-chain defaults? If not, omit the default selector so missing config
-  is impossible at the type/API level.
- Lazy endpoint/auth values: should `Endpoint.envBaseURL(...)` and env-backed
-  auth produce typed configuration/authentication errors at compile/prepare time
-  or only when executing the transport?
- `Route.with(...)` clearing semantics: endpoint/query/header patches merge by
-  default, but what is the explicit way to remove an inherited value?
- Provider facade helper: keep plain objects until duplication hurts, or add a
-  tiny `Provider.define(...)` immediately to enforce shape and method projection?
- Auth shape: should auth stay as today's composable `Auth`, or split into an
-  auth placement/strategy and credential sources?
- Naming: is `baseURL` still the right endpoint field name, or should it be
-  `origin` / `urlPrefix` to clarify that route `path` is appended?
@@ -22,7 +22,7 @@ const model = OpenAI.configure({
  apiKey,
  generation: { maxTokens: 160 },
  providerOptions: {
-    openai: { store: false },
+    store: false,
  },
 }).model("gpt-4o-mini")

@@ -34,7 +34,7 @@ const model = OpenAI.configure({
 //   - `generation`: common controls such as max tokens, temperature, topP/topK,
 //     penalties, seed, and stop sequences.
 //   - `promptCacheKey`: stable cache affinity for protocols that support it.
-//   - `providerOptions`: namespaced provider-native behavior. For example,
+//   - `providerOptions`: model-typed provider-native behavior. For example,
 //     OpenAI store behavior, Anthropic thinking, Gemini thinking config, or
 //     OpenRouter routing/reasoning.
 //   - `http`: last-resort serializable overlays for final request body, headers,
@@ -188,7 +188,7 @@ const FakeProtocol = Protocol.make<FakeBody, string, string, void>({
  },
 })

-// An route is the runnable binding for that protocol. It adds the deployment
+// A route is the runnable binding for that protocol. It adds the deployment
 // axes that the protocol deliberately does not know: URL, auth, and framing.
 const FakeAdapter = Route.make({
  id: "fake-echo",
@@ -5,8 +5,8 @@
 // The default `"auto"` shape places breakpoints at the last tool definition,
 // the first and last distinct system parts, and the conversation tail. This
 // exposes reusable tool, base-agent, project, and session prefixes while
-// advancing the tail after each tool result keeps the previous cache entry
-// within Anthropic's 20-block lookback during long agent turns.
+// advancing the tail after each tool result keeps recent conversation prefixes
+// reusable during long agent runs.
 //
 // Manual `cache: CacheHint` placements on individual parts are preserved and
 // count against the four-breakpoint budget; auto only fills remaining slots.
@@ -23,9 +23,7 @@ const NONE: CachePolicyObject = {}
 const BREAKPOINT_CAP = 4

 // Resolution rules:
-//   - undefined   → "auto" — caching is on by default. The math favors it:
-//                   Anthropic 5m-cache write is 1.25x base, read is 0.1x,
-//                   so a single reuse within 5 minutes already wins.
+//   - undefined   → "auto" — caching is on by default.
 //   - "auto"      → tools + first/last system + final message boundary.
 //   - "none"      → no auto placement; manual `CacheHint`s still flow.
 //   - object form → exactly what the caller asked for.
@@ -16,7 +16,6 @@ import {
  type JsonSchema,
  type LLMRequest,
  type MediaPart,
-  type ProviderOptions,
  type ProviderMetadata,
  type ToolCallPart,
  type ToolDefinition,
@@ -52,9 +51,7 @@ export interface OptionsInput {
  readonly effort?: string
 }

-export type ProviderOptionsInput = ProviderOptions & {
-  readonly anthropic?: OptionsInput
-}
+export type ProviderOptionsInput = OptionsInput

 // =============================================================================
 // Request Body Schema
@@ -593,7 +590,7 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
 })

 const resolveOptions = Effect.fn("AnthropicMessages.resolveOptions")(function* (request: LLMRequest) {
-  const input = request.providerOptions?.anthropic
+  const input = request.providerOptions
  return {
    thinking: yield* resolveThinking(input?.thinking),
    effort: typeof input?.effort === "string" ? input.effort : undefined,
@@ -1015,8 +1012,8 @@ const step = (state: ParserState, event: AnthropicEvent) => {
 // =============================================================================
 /**
 * The Anthropic Messages protocol — request body construction, body schema,
- * and the streaming-event state machine. Used by native Anthropic Cloud and
- * (once registered) Vertex Anthropic / Bedrock-hosted Anthropic passthrough.
+ * and the streaming-event state machine shared by Anthropic-compatible and
+ * Vertex-hosted Messages routes.
 */
 export const protocol = Protocol.make({
  id: ADAPTER,
@@ -12,7 +12,6 @@ import {
  type JsonSchema,
  type LLMRequest,
  type MediaPart,
-  type ProviderOptions,
  type ProviderMetadata,
  type TextPart,
  type ToolCallPart,
@@ -67,9 +66,7 @@ export interface OptionsInput {
  }
 }

-export type ProviderOptionsInput = ProviderOptions & {
-  readonly gemini?: OptionsInput
-}
+export type ProviderOptionsInput = OptionsInput

 // =============================================================================
 // Request Body Schema
@@ -387,7 +384,7 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
 })

 const resolveOptions = (request: LLMRequest) => {
-  const input = request.providerOptions?.gemini
+  const input = request.providerOptions
  const value = input?.thinkingConfig
  const thinkingConfig = {
    thinkingBudget:
@@ -630,8 +627,7 @@ const step = (state: ParserState, event: GeminiEvent) => {
 // =============================================================================
 /**
 * The Gemini protocol — request body construction, body schema, and the
- * streaming-event state machine. Used by Google AI Studio Gemini and (once
- * registered) Vertex Gemini.
+ * streaming-event state machine shared by Google AI Studio and Vertex Gemini.
 */
 export const protocol = Protocol.make({
  id: ADAPTER,
@@ -340,7 +340,7 @@ export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (
    name: tool.name,
    description: tool.description,
    parameters: ToolSchemaProjection.responses(inputSchema),
-    // TODO: Read this from Responses tool options so direct LLM callers can opt into strict schemas.
+    // The common tool definition does not currently express Responses strict-schema policy.
    strict: false,
  }
 })
@@ -261,7 +261,7 @@ export const route = Route.make({
  endpoint,
  auth,
  transport,
-  defaults: { providerOptions: { openai: { store: false } } },
+  defaults: { providerOptions: { store: false } },
 })

 export * as OpenAIResponses from "./openai-responses.js"
@@ -41,12 +41,10 @@ export interface ToolAccumulator {
 * when at least one is defined. Returns `undefined` when neither input nor
 * output is known so routes don't publish a misleading `0`.
 *
- * Under the additive `AI.Usage` contract, `inputTokens` and `outputTokens`
- * are the non-cached input and visible output only. The provider-supplied
- * `total` is the source of truth when present; the computed fallback
- * under-counts cache and reasoning by design and exists mainly so
- * Anthropic-style providers (which don't surface a total) still get a
- * sensible aggregate on the input + output axes.
+ * Under the inclusive `AI.Usage` contract, `inputTokens` includes cached input
+ * and `outputTokens` includes reasoning. Protocol mappers normalize those
+ * inclusive values before calling this helper. The provider-supplied total is
+ * the source of truth when present; otherwise their sum is the canonical total.
 */
 export const totalTokens = (
  inputTokens: number | undefined,
@@ -67,7 +65,7 @@ export const totalTokens = (
 *
 * If `total` is `undefined`, returns `undefined` (we don't fabricate
 * counts). If `subtrahend` is `undefined`, returns `total` unchanged. The
- * provider-native breakdown stays available on `Usage.native` for debugging.
+ * provider-native breakdown stays available on `Usage.providerMetadata` for debugging.
 */
 export const subtractTokens = (total: number | undefined, subtrahend: number | undefined): number | undefined => {
  if (total === undefined) return undefined
@@ -199,8 +197,8 @@ export const errorText = (error: unknown) => {

 /**
 * `framing` step for Server-Sent Events. Decodes UTF-8, runs the SSE channel
- * decoder, and drops empty / `[DONE]` keep-alive events so the downstream
- * `decodeChunk` sees one JSON string per element. The SSE channel emits a
+ * decoder, and drops empty / `[DONE]` keep-alive events so the protocol event
+ * schema sees one JSON string per element. The SSE channel emits a
 * `Retry` control event on its error channel; we drop it here (we don't
 * implement client-driven retries). Decoder failures become provider output
 * errors so the public error channel stays `AIError`.
@@ -216,11 +214,7 @@ export const sseFraming = (bytes: Stream.Stream<Uint8Array, AIError>): Stream.St
  )

 /**
- * Canonical invalid-request constructor. Lift one-line `const invalid =
- * (message) => invalidRequest(message)` aliases out of every
- * route so the error constructor lives in one place. If we ever extend
- * `InvalidRequestReason` with route context or trace metadata, the change
- * lands here.
+ * Canonical invalid-request constructor shared by protocol lowering.
 */
 export const invalidRequest = (message: string) =>
  new AIError({
@@ -4,7 +4,7 @@ import { newBreakpoints, ttlBucket, type Breakpoints } from "./cache.js"

 // Bedrock cache markers are positional: emit a `cachePoint` block immediately
 // after the content the caller wants treated as a cacheable prefix. Bedrock
-// accepts optional `ttl: "5m" | "1h"` on cachePoint, mirroring Anthropic.
+// accepts optional `ttl: "5m" | "1h"` on cachePoint.
 export const CachePointBlock = Schema.Struct({
  cachePoint: Schema.Struct({
    type: Schema.tag("default"),
@@ -13,9 +13,8 @@ export const CachePointBlock = Schema.Struct({
 })
 export type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>

-// Bedrock-Claude enforces the same 4-breakpoint cap as the Anthropic Messages
-// API. Callers pass a shared counter through every `block()` call site so the
-// budget is respected across `system`, `messages`, and `tools`.
+// Callers pass a shared counter through every `block()` call site so the
+// four-breakpoint budget is respected across `system`, `messages`, and `tools`.
 export const BEDROCK_BREAKPOINT_CAP = 4

 export type { Breakpoints } from "./cache.js"
@@ -1,6 +1,4 @@
-// Shared helpers for provider cache-marker lowering. Anthropic and Bedrock
-// both enforce a 4-breakpoint cap per request and accept the same `5m`/`1h`
-// TTL buckets, so the counter and TTL mapping live here.
+// Shared counter and TTL mapping for provider cache-marker lowering.

 export interface Breakpoints {
  remaining: number
@@ -9,8 +7,7 @@ export interface Breakpoints {

 export const newBreakpoints = (cap: number): Breakpoints => ({ remaining: cap, dropped: 0 })

-// Returns `"1h"` for any `ttlSeconds >= 3600`, otherwise `undefined` (the
-// provider default 5m). Anthropic & Bedrock both treat anything shorter than
-// an hour as 5m.
+// Requests of at least one hour use the explicit `"1h"` bucket; shorter
+// requests omit the wire TTL and use the provider default.
 export const ttlBucket = (ttlSeconds: number | undefined): "1h" | undefined =>
  ttlSeconds !== undefined && ttlSeconds >= 3600 ? "1h" : undefined
@@ -1,5 +1,19 @@
 import { Option, Schema } from "effect"
-import { TextVerbosity, type LLMRequest } from "../../schema/index.js"
+import type { LLMRequest } from "../../schema/index.js"
+
+export const ReasoningEfforts = ["none", "minimal", "low", "medium", "high", "xhigh", "max"] as const
+export type ReasoningEffort = (typeof ReasoningEfforts)[number] | (string & {})
+export const ReasoningEffort = Schema.declare<ReasoningEffort>(
+  (value): value is ReasoningEffort => typeof value === "string",
+  { title: "ReasoningEffort" },
+)
+
+export const TextVerbosities = ["low", "medium", "high"] as const
+export type TextVerbosity = (typeof TextVerbosities)[number] | (string & {})
+export const TextVerbosity = Schema.declare<TextVerbosity>(
+  (value): value is TextVerbosity => typeof value === "string",
+  { title: "TextVerbosity" },
+)

 export const ResponseIncludables = [
  "file_search_call.results",
@@ -19,7 +33,6 @@ export type ServiceTier = (typeof ServiceTiers)[number]
 export const Truncations = ["auto", "disabled"] as const
 export type Truncation = (typeof Truncations)[number]

-export const ReasoningEffort = Schema.String
 export const TextVerbositySchema = TextVerbosity
 export const ResponseIncludableSchema = Schema.declare<ResponseIncludable>(
  (value): value is ResponseIncludable => typeof value === "string",
@@ -56,9 +69,7 @@ export type Resolved = Omit<Options, "allowedTools"> & {
 const decodeOptions = Schema.decodeUnknownOption(Options)

 export const resolve = (request: LLMRequest): Resolved => {
-  const input = Option.getOrUndefined(
-    decodeOptions(request.providerOptions?.[request.model.route.providerMetadataKey ?? "openresponses"]),
-  )
+  const input = Option.getOrUndefined(decodeOptions(request.providerOptions))
  if (!input) return {}
  return {
    ...input,
@@ -1,8 +1,9 @@
-import { ReasoningEfforts } from "../../schema/index.js"
 import { OpenResponsesOptions } from "./open-responses-options.js"

-export const OpenAIReasoningEfforts = ReasoningEfforts
-export type OpenAIReasoningEffort = string
+export const OpenAIReasoningEfforts = OpenResponsesOptions.ReasoningEfforts
+export type OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort
+export const OpenAITextVerbosities = OpenResponsesOptions.TextVerbosities
+export type OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity

 // Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this
 // in lockstep with `openai-node/src/resources/responses/responses.ts`.
@@ -12,7 +13,7 @@ export const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers
 export type OpenAIServiceTier = OpenResponsesOptions.ServiceTier

 export const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort
-export const OpenAITextVerbosity = OpenResponsesOptions.TextVerbositySchema
+export const OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity
 export const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema
 export const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema

@@ -27,7 +27,7 @@ export interface Settings extends ProviderPackage.Settings {
 const route = OpenAICompatibleResponses.route.with({
  id: "google-vertex-responses",
  provider: id,
-  providerOptions: { openresponses: { store: false } },
+  providerOptions: { store: false },
 })

 export const routes = [route]
@@ -6,16 +6,14 @@ import { Auth } from "../route/auth.js"
 import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Framing } from "../route/framing.js"
-import { ProviderID, type LLMRequest, type ModelID, type ProviderOptions } from "../schema/index.js"
+import { ProviderID, type LLMRequest, type ModelID } from "../schema/index.js"
 import { GoogleVertexShared } from "./google-vertex-shared.js"

 export interface GeminiOptionsInput extends Gemini.OptionsInput {
  readonly labels?: Readonly<Record<string, string>>
 }

-export type GeminiProviderOptionsInput = ProviderOptions & {
-  readonly gemini?: GeminiOptionsInput
-}
+export type GeminiProviderOptionsInput = GeminiOptionsInput

 export const id = ProviderID.make("google-vertex")

@@ -40,7 +38,7 @@ export type Settings = ProviderPackage.Settings &

 const fromRequest = Effect.fn("GoogleVertex.fromRequest")(function* (request: LLMRequest) {
  const body = yield* Gemini.protocol.body.from(request)
-  const value = request.providerOptions?.gemini?.labels
+  const value = request.providerOptions?.labels
  const labels = ProviderShared.isRecord(value)
    ? Object.fromEntries(
        Object.entries(value).filter((entry): entry is [string, string] => typeof entry[1] === "string"),
@@ -1,10 +1,6 @@
 import type { Options } from "../protocols/utils/open-responses-options.js"
-import type { ProviderOptions } from "../schema/index.js"

 export type OpenResponsesOptionsInput = Options & { readonly [key: string]: unknown }
-
-export type OpenResponsesProviderOptionsInput = ProviderOptions & {
-  readonly openresponses?: OpenResponsesOptionsInput
-}
+export type OpenResponsesProviderOptionsInput = OpenResponsesOptionsInput

 export * as OpenResponsesProviderOptions from "./open-responses-options.js"
@@ -1,20 +1,17 @@
-import type { ProviderOptions } from "../schema/index.js"
-import { mergeProviderOptions } from "../schema/index.js"
+import { mergeProviderOptions, type ProviderOptions } from "../schema/index.js"
 import type { OpenResponsesOptionsInput } from "./open-responses-options.js"

 export type { OpenAIResponseIncludable, OpenAIServiceTier } from "../protocols/utils/openai-options.js"

 export type OpenAIOptionsInput = OpenResponsesOptionsInput

-export type OpenAIProviderOptionsInput = ProviderOptions & {
-  readonly openai?: OpenAIOptionsInput
-}
+export type OpenAIProviderOptionsInput = OpenAIOptionsInput

 const definedEntries = (input: Record<string, unknown>) =>
  Object.entries(input).filter((entry) => entry[1] !== undefined)

 const openAIProviderOptions = (options: OpenAIOptionsInput | undefined): ProviderOptions | undefined => {
-  const openai = Object.fromEntries(
+  const result = Object.fromEntries(
    definedEntries({
      store: options?.store,
      reasoningEffort: options?.reasoningEffort,
@@ -24,8 +21,8 @@ const openAIProviderOptions = (options: OpenAIOptionsInput | undefined): Provide
      serviceTier: options?.serviceTier,
    }),
  )
-  if (Object.keys(openai).length === 0) return undefined
-  return { openai }
+  if (Object.keys(result).length === 0) return undefined
+  return result
 }

 export const gpt5DefaultOptions = (
@@ -4,7 +4,7 @@ import { Endpoint } from "../route/endpoint.js"
 import { Framing } from "../route/framing.js"
 import { Protocol } from "../route/protocol.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { ProviderID, type CacheHint, type ModelID, type ProviderOptions } from "../schema/index.js"
+import { ProviderID, type CacheHint, type ModelID } from "../schema/index.js"
 import type { ProviderPackage } from "../provider-package.js"
 import * as OpenAICompatibleProfiles from "./openai-compatible-profile.js"
 import * as OpenAIChat from "../protocols/openai-chat.js"
@@ -71,9 +71,7 @@ export interface OpenRouterOptions {
  }>
 }

-export type OpenRouterProviderOptionsInput = ProviderOptions & {
-  readonly openrouter?: OpenRouterOptions
-}
+export type OpenRouterProviderOptionsInput = OpenRouterOptions

 export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
  ProviderAuthOption<"optional"> & {
@@ -120,7 +118,7 @@ export const protocol = Protocol.make({
          return {
            ...body,
            messages,
-            ...bodyOptions(request.providerOptions?.openrouter),
+            ...bodyOptions(request.providerOptions),
            ...(request.promptCacheKey ? { prompt_cache_key: request.promptCacheKey } : {}),
          } as OpenRouterBody
        }),
@@ -1,7 +1,7 @@
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
 import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
-import { HttpOptions, ProviderID, type ModelID, type ProviderOptions } from "../schema/index.js"
+import { HttpOptions, ProviderID, type ModelID } from "../schema/index.js"
 import * as OpenAICompatibleProfiles from "./openai-compatible-profile.js"
 import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat.js"
 import * as OpenAIChat from "../protocols/openai-chat.js"
@@ -12,9 +12,7 @@ import type { ProviderPackage } from "../provider-package.js"

 export const id = ProviderID.make("xai")

-export type XAIProviderOptionsInput = ProviderOptions & {
-  readonly xai?: OpenAIOptionsInput
-}
+export type XAIProviderOptionsInput = OpenAIOptionsInput

 export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
  ProviderAuthOption<"optional"> & {
@@ -37,7 +35,7 @@ const responsesRoute = Route.make({
  protocol: OpenAIResponses.protocol,
  endpoint: Endpoint.path("/responses", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),
  transport: OpenAIResponses.httpTransport,
-  defaults: { providerOptions: { xai: { store: false } } },
+  defaults: { providerOptions: { store: false } },
 })

 const chatRoute = Route.make({
@@ -13,8 +13,8 @@ import type { AIError } from "../schema/index.js"
 * - AWS event stream — length-prefixed binary frames with CRC checksums.
 *   Each emitted frame is one parsed binary event record.
 *
- * The frame type is opaque to this layer; the protocol's `decode` step turns
- * a frame into a typed chunk.
+ * The frame type is opaque to this layer; the protocol's event schema decodes
+ * each frame before its state machine handles it.
 */
 export interface Definition<Frame> {
  readonly id: string
@@ -73,8 +73,7 @@ export interface ProtocolStream<Frame, Event, State> {
 *
 * Provider implementations should usually call `Protocol.make({ ... })`
 * without explicit type arguments; the schemas and parser functions are the
- * source of truth. The constructor remains as the public seam for future
- * cross-cutting concerns such as tracing or instrumentation.
+ * source of truth.
 */
 export const make = <Body, Frame, Event, State>(
  input: Protocol<Body, Frame, Event, State>,
@@ -1,6 +1,7 @@
 import { Schema } from "effect"
 import { Tool } from "@opencode-ai/schema/tool"
-import { ModelID, ProviderID, ProviderMetadata, RouteID } from "./ids.js"
+import { ModelID, ProviderID, RouteID } from "./ids.js"
+import { ProviderMetadata } from "./messages.js"

 export const ProviderFailureClassification = Schema.Literals(["context-overflow", "payload-too-large"])
 export type ProviderFailureClassification = typeof ProviderFailureClassification.Type
@@ -1,8 +1,21 @@
 import { Schema } from "effect"
-import { ContentBlockID, FinishReason, ProviderMetadata, ToolCallID } from "./ids.js"
-import { Message, ToolCallPart, ToolOutput, ToolResultPart, ToolResultValue, type ContentPart } from "./messages.js"
+import { LLM } from "@opencode-ai/schema/llm"
+import { ContentBlockID, ToolCallID } from "./ids.js"
+import {
+  Message,
+  ProviderMetadata,
+  ToolCallPart,
+  ToolOutput,
+  ToolResultPart,
+  ToolResultValue,
+  type ContentPart,
+} from "./messages.js"
 import { ProviderFailureClassification } from "./errors.js"

+export const FinishReason = LLM.FinishReason
+export type FinishReason = Schema.Schema.Type<typeof FinishReason>
+export { ProviderMetadata } from "./messages.js"
+
 /**
 * Token usage reported by an LLM provider.
 *
@@ -1,8 +1,4 @@
 import { Schema } from "effect"
-import { ProviderMetadata } from "@opencode-ai/schema/ai"
-import { LLM } from "@opencode-ai/schema/llm"
-
-export { ProviderMetadata }

 /** Stable string identifier for a protocol implementation. */
 export const ProtocolID = Schema.String
@@ -26,19 +22,3 @@ export type ContentBlockID = Schema.Schema.Type<typeof ContentBlockID>

 export const ToolCallID = Schema.String
 export type ToolCallID = Schema.Schema.Type<typeof ToolCallID>
-
-export const ReasoningEfforts = ["none", "minimal", "low", "medium", "high", "xhigh", "max"] as const
-export const ReasoningEffort = Schema.String
-export type ReasoningEffort = Schema.Schema.Type<typeof ReasoningEffort>
-
-export const TextVerbosity = Schema.Literals(["low", "medium", "high"])
-export type TextVerbosity = Schema.Schema.Type<typeof TextVerbosity>
-
-export const MessageRole = Schema.Literals(["system", "user", "assistant", "tool"])
-export type MessageRole = Schema.Schema.Type<typeof MessageRole>
-
-export const FinishReason = LLM.FinishReason
-export type FinishReason = Schema.Schema.Type<typeof FinishReason>
-
-export const JsonSchema = Schema.Record(Schema.String, Schema.Unknown)
-export type JsonSchema = Schema.Schema.Type<typeof JsonSchema>
@@ -1,16 +1,24 @@
 import { Schema } from "effect"
 import { Tool } from "@opencode-ai/schema/tool"
-import { JsonSchema, MessageRole, ProviderMetadata } from "./ids.js"
 import {
  CacheHint,
  CachePolicy,
  GenerationOptions,
  HttpOptions,
+  JsonSchema,
  LanguageModelSchema,
  ProviderOptions,
 } from "./options.js"
 import { isRecord } from "../utils/record.js"

+export const MessageRole = Schema.Literals(["system", "user", "assistant", "tool"])
+export type MessageRole = Schema.Schema.Type<typeof MessageRole>
+
+export const ProviderMetadata = Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown)).annotate({
+  identifier: "LLM.ProviderMetadata",
+})
+export type ProviderMetadata = Schema.Schema.Type<typeof ProviderMetadata>
+
 const systemPartSchema = Schema.Struct({
  type: Schema.Literal("text"),
  text: Schema.String,
@@ -1,8 +1,11 @@
 import { Schema } from "effect"
-import { JsonSchema, ModelID, ProviderID } from "./ids.js"
+import { ModelID, ProviderID } from "./ids.js"
 import type { AnyRoute } from "../route/client.js"
 import { isRecord } from "../utils/record.js"

+export const JsonSchema = Schema.Record(Schema.String, Schema.Unknown)
+export type JsonSchema = Schema.Schema.Type<typeof JsonSchema>
+
 export const mergeJsonRecords = (
  ...items: ReadonlyArray<Record<string, unknown> | undefined>
 ): Record<string, unknown> | undefined => {
@@ -33,22 +36,12 @@ const mergeStringRecords = (
  return Object.keys(result).length === 0 ? undefined : result
 }

-export const ProviderOptions = Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown))
+export const ProviderOptions = Schema.Record(Schema.String, Schema.Unknown)
 export type ProviderOptions = Schema.Schema.Type<typeof ProviderOptions>

 export const mergeProviderOptions = (
  ...items: ReadonlyArray<ProviderOptions | undefined>
-): ProviderOptions | undefined => {
-  const result: Record<string, Record<string, unknown>> = {}
-  for (const item of items) {
-    if (!item) continue
-    for (const [provider, options] of Object.entries(item)) {
-      const merged = mergeJsonRecords(result[provider], options)
-      if (merged) result[provider] = merged
-    }
-  }
-  return Object.keys(result).length === 0 ? undefined : result
-}
+): ProviderOptions | undefined => mergeJsonRecords(...items)

 export class HttpOptions extends Schema.Class<HttpOptions>("AI.HttpOptions")({
  body: Schema.optional(JsonSchema),
@@ -269,10 +262,9 @@ export class CacheHint extends Schema.Class<CacheHint>("LLM.CacheHint")({
 // Auto-placement policy for prompt caching. The protocol-neutral lowering step
 // reads this and injects `CacheHint`s at the configured boundaries; the
 // per-protocol body builders then translate those hints into wire markers as
-// usual. `"auto"` is the recommended default for agent loops — it places
+// usual. `"auto"` is the default for agent loops — it places
 // breakpoints at the last tool definition, the first and last distinct system
-// parts, and the conversation tail. The rolling message breakpoint keeps a
-// prior cache entry within Anthropic/Bedrock's 20-block lookback during long
+// parts, and the conversation tail so recent prefixes remain reusable during
 // tool loops.
 //
 // Pass `"none"` to opt out entirely (the legacy behavior). Pass the granular
@@ -81,7 +81,7 @@ OpenAI.configure({
 }).responses("gpt-4.1-mini")
 OpenAI.configure({
  generation: { maxTokens: 100 },
-  providerOptions: { openai: { store: false } },
+  providerOptions: { store: false },
 }).responses("gpt-4.1-mini")

 // @ts-expect-error OpenAI model selectors only accept model ids.
@@ -97,7 +97,7 @@ OpenAI.configure({ bogus: true })
 OpenAI.configure({ generation: { maxTokens: "many" } })

 // @ts-expect-error provider-native options remain typed.
-OpenAI.configure({ providerOptions: { openai: { store: "false" } } })
+OpenAI.configure({ providerOptions: { store: "false" } })

 // @ts-expect-error auth is an override, so OpenAI rejects apiKey with auth.
 OpenAI.configure({ apiKey: "sk-test", auth: Auth.bearer("oauth-token") })
@@ -139,7 +139,8 @@ Anthropic.configure({ apiKey: "anthropic-key" }).model("claude-haiku")
 Anthropic.configure({
  apiKey: "anthropic-key",
  providerOptions: {
-    anthropic: { thinking: { type: "enabled", budgetTokens: 1_024 }, effort: "high" },
+    thinking: { type: "enabled", budgetTokens: 1_024 },
+    effort: "high",
  },
 }).model("claude-haiku")
 // @ts-expect-error Anthropic model selectors only accept model ids.
@@ -147,15 +148,15 @@ Anthropic.configure({ apiKey: "anthropic-key" }).model("claude-haiku", {})
 // @ts-expect-error Anthropic package settings accept only one auth source.
 Anthropic.model("claude-sonnet-4-6", { apiKey: "anthropic-key", authToken: "anthropic-token" })
 // @ts-expect-error Enabled Anthropic thinking requires a token budget.
-Anthropic.configure({ providerOptions: { anthropic: { thinking: { type: "enabled" } } } })
+Anthropic.configure({ providerOptions: { thinking: { type: "enabled" } } })
 // @ts-expect-error Anthropic thinking budgets must be numbers.
-Anthropic.configure({ providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: "large" } } } })
+Anthropic.configure({ providerOptions: { thinking: { type: "enabled", budgetTokens: "large" } } })

 AnthropicCompatible.configure({
  apiKey: "messages-key",
  baseURL: "https://messages.example.com/v1",
  provider: "example",
-  providerOptions: { anthropic: { thinking: { type: "disabled" } } },
+  providerOptions: { thinking: { type: "disabled" } },
 }).model("compatible-model")
 // @ts-expect-error Anthropic-compatible providers require a base URL.
 AnthropicCompatible.configure({ apiKey: "messages-key" })
@@ -171,16 +172,16 @@ AnthropicCompatible.model("compatible-model", {
 Google.configure({ apiKey: "google-key" }).model("gemini-2.5-flash")
 Google.configure({
  apiKey: "google-key",
-  providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 0, includeThoughts: false } } },
+  providerOptions: { thinkingConfig: { thinkingBudget: 0, includeThoughts: false } },
 }).model("gemini-2.5-flash")
 // @ts-expect-error Google model selectors only accept model ids.
 Google.configure({ apiKey: "google-key" }).model("gemini-2.5-flash", {})
 // @ts-expect-error Gemini thinking budgets must be numbers.
-Google.configure({ providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "large" } } } })
+Google.configure({ providerOptions: { thinkingConfig: { thinkingBudget: "large" } } })

 GoogleVertex.configure({
  apiKey: "vertex-key",
-  providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1_024 } } },
+  providerOptions: { thinkingConfig: { thinkingBudget: 1_024 } },
 }).model("gemini-3.5-flash")
 GoogleVertex.configure({ accessToken: "vertex-token", project: "project" }).model("gemini-3.5-flash")
 GoogleVertex.configure({ auth: Auth.bearer("vertex-token"), project: "project" }).model("gemini-3.5-flash")
@@ -230,7 +231,7 @@ GoogleVertexResponses.configure({
 GoogleVertexMessages.configure({
  accessToken: "vertex-token",
  project: "project",
-  providerOptions: { anthropic: { thinking: { type: "adaptive", display: "omitted" }, effort: "low" } },
+  providerOptions: { thinking: { type: "adaptive", display: "omitted" }, effort: "low" },
 }).model("claude-sonnet-4-6")
 // @ts-expect-error Vertex Messages package settings do not accept API keys.
 GoogleVertexMessages.model("claude-sonnet-4-6", { apiKey: "vertex-key", project: "project" })
@@ -17,31 +17,25 @@ describe("request option precedence", () => {
  test("deep-merges provider option records and replaces arrays, primitives, and null", () => {
    const merged = mergeProviderOptions(
      {
-        openai: {
-          include: ["route"],
-          metadata: { route: true, shared: "route" },
-          nullable: "route",
-          primitive: "route",
-        },
+        include: ["route"],
+        metadata: { route: true, shared: "route" },
+        nullable: "route",
+        primitive: "route",
      },
      {
-        openai: {
-          include: ["model"],
-          metadata: { model: true, shared: "model" },
-          nullable: null,
-          primitive: "model",
-        },
+        include: ["model"],
+        metadata: { model: true, shared: "model" },
+        nullable: null,
+        primitive: "model",
      },
-      { openai: { metadata: { request: true }, primitive: false } },
+      { metadata: { request: true }, primitive: false },
    )

    expect(merged).toEqual({
-      openai: {
-        include: ["model"],
-        metadata: { route: true, model: true, request: true, shared: "model" },
-        nullable: null,
-        primitive: false,
-      },
+      include: ["model"],
+      metadata: { route: true, model: true, request: true, shared: "model" },
+      nullable: null,
+      primitive: false,
    })
  })

@@ -51,13 +45,13 @@ describe("request option precedence", () => {
        endpoint: { baseURL: "https://api.openai.test/v1/" },
        auth: Auth.bearer("test"),
        generation: { maxTokens: 10, temperature: 1, stop: ["route"] },
-        providerOptions: { openai: { store: false, reasoningEffort: "low" } },
+        providerOptions: { store: false, reasoningEffort: "low" },
      })
      const model = route.model({
        id: "gpt-4o-mini",
        defaults: {
          generation: { maxTokens: 20, temperature: 0.5, frequencyPenalty: 0.25, stop: ["model"] },
-          providerOptions: { openai: { reasoningEffort: "medium" } },
+          providerOptions: { reasoningEffort: "medium" },
        },
      })
      const prepared = yield* compileRequest(
@@ -65,7 +59,7 @@ describe("request option precedence", () => {
          model,
          prompt: "Say hello.",
          generation: { maxTokens: 30, topP: 0.9, stop: ["request"] },
-          providerOptions: { openai: { store: true } },
+          providerOptions: { store: true },
        }),
      )

@@ -105,7 +105,7 @@ export function continuationRequest(input: {
    tools: features.has("tool-call") ? [continuationTool] : [],
    cache: "none",
    providerOptions: features.has("encrypted-reasoning")
-      ? { openai: { store: false, include: ["reasoning.encrypted_content"], reasoningSummary: "auto" } }
+      ? { store: false, include: ["reasoning.encrypted_content"], reasoningSummary: "auto" }
      : undefined,
    generation: { maxTokens: 80, temperature: 0 },
  })
@@ -13,9 +13,7 @@ interface ExampleOptions {
  readonly mode?: "fast" | "thorough"
 }

-type ExampleProviderOptions = ProviderOptions & {
-  readonly example?: ExampleOptions
-}
+type ExampleProviderOptions = ProviderOptions & ExampleOptions

 const model = OpenAIChat.route
  .with({ endpoint: { baseURL: "https://example.com/v1" } })
@@ -26,7 +24,7 @@ type StreamRequirements<T> = T extends Stream.Stream<infer _A, infer _E, infer R
 type Equal<A, B> = [A, B] extends [B, A] ? true : false
 type Assert<T extends true> = T

-LLM.request({ model, prompt: "Hello", providerOptions: { example: { mode: "fast" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { mode: "fast" } })
 LLM.request({ model, prompt: "Hello", providerOptions: { future: { option: true } } })

 const generated = LLM.generate(LLM.request({ model, prompt: "Hello" }))
@@ -38,14 +36,14 @@ LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Known provider options preserve their value types.
-  providerOptions: { example: { mode: "slow" } },
+  providerOptions: { mode: "slow" },
 })

 const generatedObject = LLM.generateObject({
  model,
  prompt: "Hello",
  schema: Schema.Struct({ answer: Schema.String }),
-  providerOptions: { example: { mode: "thorough" } },
+  providerOptions: { mode: "thorough" },
 })
 type GenerateObjectRequirements = Assert<Equal<Requirements<typeof generatedObject>, LLMClientService>>

@@ -61,13 +59,13 @@ LLM.generateObject({
  prompt: "Hello",
  jsonSchema: { type: "object" },
  // @ts-expect-error Dynamic object generation uses the selected model's provider options.
-  providerOptions: { example: { mode: false } },
+  providerOptions: { mode: false },
 })

 declare const generic: LanguageModel
 LLM.request({ model: generic, prompt: "Hello", providerOptions: { arbitrary: { option: true } } })

-const options: LanguageModelProviderOptions<typeof model> = { example: { mode: "fast" } }
+const options: LanguageModelProviderOptions<typeof model> = { mode: "fast" }
 void (options satisfies LanguageModelProviderOptions<typeof model>)
 void (true satisfies GenerateRequirements)
 void (true satisfies StreamClientRequirements)
@@ -59,18 +59,18 @@ describe("llm constructors", () => {
        provider: "fake",
        route: chatRoute.with({
          generation: { maxTokens: 100, temperature: 1 },
-          providerOptions: { openai: { store: false, metadata: { model: true } } },
+          providerOptions: { store: false, metadata: { model: true } },
          http: { body: { metadata: { model: true } }, headers: { "x-shared": "model" }, query: { model: "1" } },
        }),
      }),
      prompt: "Say hello.",
      generation: { temperature: 0 },
-      providerOptions: { openai: { store: true, metadata: { request: true } } },
+      providerOptions: { store: true, metadata: { request: true } },
      http: { body: { metadata: { request: true } }, headers: { "x-shared": "request" }, query: { request: "1" } },
    })

    expect(request.generation).toEqual({ temperature: 0 })
-    expect(request.providerOptions).toEqual({ openai: { store: true, metadata: { request: true } } })
+    expect(request.providerOptions).toEqual({ store: true, metadata: { request: true } })
    expect(request.http).toEqual({
      body: { metadata: { request: true } },
      headers: { "x-shared": "request" },
@@ -123,7 +123,7 @@ describe("llm constructors", () => {
      defaults: {
        limits: { context: 128_000, output: 8_192 },
        generation: { maxTokens: 1_024, stop: ["END"] },
-        providerOptions: { openai: { parallelToolCalls: false } },
+        providerOptions: { parallelToolCalls: false },
        http: { body: { extra_body: true } },
      },
      compatibility: { toolSchema: "moonshot" },
@@ -132,7 +132,7 @@ describe("llm constructors", () => {

    expect(request.model.defaults?.limits).toEqual({ context: 128_000, output: 8_192 })
    expect(request.model.defaults?.generation).toEqual({ maxTokens: 1_024, stop: ["END"] })
-    expect(request.model.defaults?.providerOptions).toEqual({ openai: { parallelToolCalls: false } })
+    expect(request.model.defaults?.providerOptions).toEqual({ parallelToolCalls: false })
    expect(request.model.defaults?.http).toEqual({ body: { extra_body: true } })
    expect(request.model.compatibility).toEqual({ toolSchema: "moonshot" })
    expect(request.generation).toBeUndefined()
@@ -3,11 +3,11 @@ import { AnthropicCompatible } from "../../src/providers.js"

 const model = AnthropicCompatible.configure({ baseURL: "https://example.com" }).model("claude")

-LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { effort: "high" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { effort: "high" } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Anthropic effort must be a string.
-  providerOptions: { anthropic: { effort: 1 } },
+  providerOptions: { effort: 1 },
 })
@@ -3,11 +3,11 @@ import { Anthropic } from "../../src/providers.js"

 const model = Anthropic.provider.model("claude-sonnet-4-5")

-LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { thinking: { type: "adaptive" } } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { thinking: { type: "adaptive" } } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Anthropic thinking modes are a fixed union.
-  providerOptions: { anthropic: { thinking: { type: "automatic" } } },
+  providerOptions: { thinking: { type: "automatic" } },
 })
@@ -3,11 +3,11 @@ import { Azure } from "../../src/providers.js"

 const model = Azure.configure({ resourceName: "example" }).responses("deployment")

-LLM.request({ model, prompt: "Hello", providerOptions: { openai: { store: false } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { store: false } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Azure OpenAI store must be boolean.
-  providerOptions: { openai: { store: "false" } },
+  providerOptions: { store: "false" },
 })
@@ -3,11 +3,11 @@ import { GoogleVertexChat } from "../../src/providers.js"

 const model = GoogleVertexChat.configure({ accessToken: "test", project: "project" }).model("gemini")

-LLM.request({ model, prompt: "Hello", providerOptions: { openai: { serviceTier: "priority" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { serviceTier: "priority" } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Vertex OpenAI-compatible service tiers use the OpenAI union.
-  providerOptions: { openai: { serviceTier: "premium" } },
+  providerOptions: { serviceTier: "premium" },
 })
@@ -3,11 +3,11 @@ import { GoogleVertexMessages } from "../../src/providers.js"

 const model = GoogleVertexMessages.configure({ accessToken: "test", project: "project" }).model("claude")

-LLM.request({ model, prompt: "Hello", providerOptions: { anthropic: { effort: "medium" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { effort: "medium" } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Vertex Anthropic effort must be a string.
-  providerOptions: { anthropic: { effort: false } },
+  providerOptions: { effort: false },
 })
@@ -3,11 +3,12 @@ import { GoogleVertexResponses } from "../../src/providers.js"

 const model = GoogleVertexResponses.configure({ accessToken: "test", project: "project" }).model("gemini")

-LLM.request({ model, prompt: "Hello", providerOptions: { openresponses: { textVerbosity: "high" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { textVerbosity: "high" } })
+LLM.request({ model, prompt: "Hello", providerOptions: { textVerbosity: "verbose" } })

 LLM.request({
  model,
  prompt: "Hello",
-  // @ts-expect-error Vertex Responses verbosity uses the Open Responses union.
-  providerOptions: { openresponses: { textVerbosity: "verbose" } },
+  // @ts-expect-error Vertex Responses verbosity must be a string.
+  providerOptions: { textVerbosity: 1 },
 })
@@ -6,12 +6,12 @@ const model = GoogleVertex.provider.configure({ apiKey: "test" }).model("gemini-
 LLM.request({
  model,
  prompt: "Hello",
-  providerOptions: { gemini: { thinkingConfig: { includeThoughts: true } } },
+  providerOptions: { thinkingConfig: { includeThoughts: true } },
 })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Vertex Gemini includeThoughts must be boolean.
-  providerOptions: { gemini: { thinkingConfig: { includeThoughts: "yes" } } },
+  providerOptions: { thinkingConfig: { includeThoughts: "yes" } },
 })
@@ -6,17 +6,15 @@ const model = Google.provider.model("gemini-2.5-pro")
 LLM.request({
  model,
  prompt: "Hello",
-  providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1024 } } },
+  providerOptions: { thinkingConfig: { thinkingBudget: 1024 } },
 })

 LLM.request({
  model,
  prompt: "Hello",
  providerOptions: {
-    gemini: {
-      // @ts-expect-error Gemini safety settings require a threshold for every category.
-      safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH" }],
-    },
+    // @ts-expect-error Gemini safety settings require a threshold for every category.
+    safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH" }],
  },
 })

@@ -24,12 +22,10 @@ LLM.request({
  model,
  prompt: "Hello",
  providerOptions: {
-    gemini: {
-      cachedContent: "cachedContents/example",
-      safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" }],
-      serviceTier: "future-tier",
-      thinkingConfig: { thinkingLevel: "high", includeThoughts: true },
-    },
+    cachedContent: "cachedContents/example",
+    safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" }],
+    serviceTier: "future-tier",
+    thinkingConfig: { thinkingLevel: "high", includeThoughts: true },
  },
 })

@@ -37,11 +33,11 @@ LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Gemini thinking budgets must be numeric.
-  providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "large" } } },
+  providerOptions: { thinkingConfig: { thinkingBudget: "large" } },
 })

 LLM.request({
  model,
  prompt: "Hello",
-  providerOptions: { gemini: { thinkingConfig: { thinkingLevel: "maximum" } } },
+  providerOptions: { thinkingConfig: { thinkingLevel: "maximum" } },
 })
@@ -3,11 +3,15 @@ import { OpenAICompatibleResponses } from "../../src/providers.js"

 const model = OpenAICompatibleResponses.configure({ baseURL: "https://example.com" }).model("model")

-LLM.request({ model, prompt: "Hello", providerOptions: { openresponses: { reasoningSummary: "detailed" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { reasoningSummary: "detailed" } })
+LLM.request({ model, prompt: "Hello", providerOptions: { reasoningEffort: "high" } })
+LLM.request({ model, prompt: "Hello", providerOptions: { reasoningEffort: "experimental" } })
+LLM.request({ model, prompt: "Hello", providerOptions: { textVerbosity: "low" } })
+LLM.request({ model, prompt: "Hello", providerOptions: { textVerbosity: "verbose" } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error Open Responses reasoning summaries use a fixed union.
-  providerOptions: { openresponses: { reasoningSummary: "full" } },
+  providerOptions: { reasoningSummary: "full" },
 })
@@ -3,11 +3,11 @@ import { OpenAICompatible } from "../../src/providers.js"

 const model = OpenAICompatible.deepseek.model("deepseek-chat")

-LLM.request({ model, prompt: "Hello", providerOptions: { openai: { store: false } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { store: false } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error OpenAI-compatible store must be boolean.
-  providerOptions: { openai: { store: "false" } },
+  providerOptions: { store: "false" },
 })
@@ -2,14 +2,20 @@ import { LLM } from "../../src/index.js"
 import { OpenAI } from "../../src/providers.js"

 const selected = OpenAI.responses("gpt-5")
+const chat = OpenAI.chat("gpt-4o-mini")

-LLM.request({ model: selected, prompt: "Hello", providerOptions: { openai: { reasoningEffort: "high" } } })
+LLM.request({ model: selected, prompt: "Hello", providerOptions: { reasoningEffort: "high" } })
+LLM.request({ model: selected, prompt: "Hello", providerOptions: { reasoningEffort: "experimental" } })
+LLM.request({ model: selected, prompt: "Hello", providerOptions: { textVerbosity: "low" } })
+LLM.request({ model: selected, prompt: "Hello", providerOptions: { textVerbosity: "verbose" } })
+LLM.request({ model: chat, prompt: "Hello", providerOptions: { reasoningEffort: "max" } })
+LLM.request({ model: chat, prompt: "Hello", providerOptions: { reasoningEffort: "experimental" } })

 LLM.request({
  model: selected,
  prompt: "Hello",
  // @ts-expect-error OpenAI reasoning effort must be a string.
-  providerOptions: { openai: { reasoningEffort: 1 } },
+  providerOptions: { reasoningEffort: 1 },
 })

 OpenAI.configure({
@@ -3,27 +3,25 @@ import { OpenRouter } from "../../src/providers.js"

 const model = OpenRouter.provider.model("anthropic/claude-sonnet-4.5")

-LLM.request({ model, prompt: "Hello", providerOptions: { openrouter: { usage: true } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { usage: true } })

 LLM.request({
  model,
  prompt: "Hello",
  providerOptions: {
-    openrouter: {
-      models: ["google/gemini-3.1-pro"],
-      provider: {
-        order: ["anthropic"],
-        require_parameters: true,
-        data_collection: "future-policy",
-        sort: "future-sort",
-        max_price: { prompt: "0.50" },
-      },
-      reasoning: { effort: "future-effort", exclude: false },
-      plugins: [{ id: "future-plugin", enabled: true }],
-      web_search_options: { engine: "future-engine" },
-      debug: { echo_upstream_body: true },
-      user: "user_123",
+    models: ["google/gemini-3.1-pro"],
+    provider: {
+      order: ["anthropic"],
+      require_parameters: true,
+      data_collection: "future-policy",
+      sort: "future-sort",
+      max_price: { prompt: "0.50" },
    },
+    reasoning: { effort: "future-effort", exclude: false },
+    plugins: [{ id: "future-plugin", enabled: true }],
+    web_search_options: { engine: "future-engine" },
+    debug: { echo_upstream_body: true },
+    user: "user_123",
  },
 })

@@ -31,5 +29,5 @@ LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error OpenRouter usage must be boolean or an option record.
-  providerOptions: { openrouter: { usage: "yes" } },
+  providerOptions: { usage: "yes" },
 })
@@ -3,11 +3,12 @@ import { XAI } from "../../src/providers.js"

 const model = XAI.provider.model("grok-4")

-LLM.request({ model, prompt: "Hello", providerOptions: { xai: { reasoningEffort: "high" } } })
+LLM.request({ model, prompt: "Hello", providerOptions: { reasoningEffort: "high" } })
+LLM.request({ model, prompt: "Hello", providerOptions: { reasoningEffort: "experimental" } })

 LLM.request({
  model,
  prompt: "Hello",
  // @ts-expect-error xAI's OpenAI-compatible reasoning effort must be a string.
-  providerOptions: { xai: { reasoningEffort: true } },
+  providerOptions: { reasoningEffort: true },
 })
@@ -47,11 +47,11 @@ describe("provider package entrypoints", () => {
    }
    const openrouter = OpenRouter.model("anthropic/claude-sonnet-4", {
      ...settings,
-      providerOptions: { openrouter: { usage: true } },
+      providerOptions: { usage: true },
    })
    const xai = XAI.model("grok-4", {
      ...settings,
-      providerOptions: { xai: { reasoningEffort: "high" } },
+      providerOptions: { reasoningEffort: "high" },
    })

    for (const selected of [openrouter, xai]) {
@@ -60,8 +60,8 @@ describe("provider package entrypoints", () => {
      expect(selected.route.defaults.http?.body).toEqual(settings.body)
      expect(selected.route.defaults.limits).toEqual(settings.limits)
    }
-    expect(openrouter.route.defaults.providerOptions).toEqual({ openrouter: { usage: true } })
-    expect(xai.route.defaults.providerOptions).toMatchObject({ xai: { reasoningEffort: "high", store: false } })
+    expect(openrouter.route.defaults.providerOptions).toEqual({ usage: true })
+    expect(xai.route.defaults.providerOptions).toMatchObject({ reasoningEffort: "high", store: false })
  })

  test("maps package settings onto the executable model", () => {
@@ -89,7 +89,7 @@ describe("provider package entrypoints", () => {
      headers: { "x-application": "opencode" },
      body: { service_tier: "priority" },
      limits: { context: 200_000, output: 64_000 },
-      providerOptions: { openresponses: { reasoningEffort: "low", store: true } },
+      providerOptions: { reasoningEffort: "low", store: true },
    })

    expect(String(selected.provider)).toBe("example")
@@ -101,9 +101,7 @@ describe("provider package entrypoints", () => {
    expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
    expect(selected.route.defaults.http?.body).toEqual({ service_tier: "priority" })
    expect(selected.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
-    expect(selected.route.defaults.providerOptions).toEqual({
-      openresponses: { reasoningEffort: "low", store: true },
-    })
+    expect(selected.route.defaults.providerOptions).toEqual({ reasoningEffort: "low", store: true })
  })

  test("maps Anthropic-compatible settings onto the executable model", async () => {
@@ -115,7 +113,7 @@ describe("provider package entrypoints", () => {
      headers: { "x-application": "opencode" },
      body: { metadata: { user_id: "user_1" } },
      limits: { context: 200_000, output: 64_000 },
-      providerOptions: { anthropic: { effort: "low" } },
+      providerOptions: { effort: "low" },
    })

    expect(String(selected.provider)).toBe("example")
@@ -127,19 +125,17 @@ describe("provider package entrypoints", () => {
    expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
    expect(selected.route.defaults.http?.body).toEqual({ metadata: { user_id: "user_1" } })
    expect(selected.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
-    expect(selected.route.defaults.providerOptions).toEqual({ anthropic: { effort: "low" } })
+    expect(selected.route.defaults.providerOptions).toEqual({ effort: "low" })
  })

  test("maps Anthropic provider options onto the executable model", async () => {
    const Anthropic = await import("@opencode-ai/ai/providers/anthropic")
    const selected = Anthropic.model("claude-sonnet-4-6", {
      apiKey: "fixture",
-      providerOptions: { anthropic: { thinking: { type: "adaptive" } } },
+      providerOptions: { thinking: { type: "adaptive" } },
    })

-    expect(selected.route.defaults.providerOptions).toEqual({
-      anthropic: { thinking: { type: "adaptive" } },
-    })
+    expect(selected.route.defaults.providerOptions).toEqual({ thinking: { type: "adaptive" } })
  })

  test("requires an Anthropic-compatible base URL at runtime", async () => {
@@ -233,7 +229,7 @@ describe("provider package entrypoints", () => {
      headers: { "x-application": "opencode" },
      body: { safetySettings: [] },
      limits: { context: 1_000_000, output: 65_536 },
-      providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1_024 } } },
+      providerOptions: { thinkingConfig: { thinkingBudget: 1_024 } },
    })

    expect(selected.route.id).toBe("gemini")
@@ -241,9 +237,7 @@ describe("provider package entrypoints", () => {
    expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
    expect(selected.route.defaults.http?.body).toEqual({ safetySettings: [] })
    expect(selected.route.defaults.limits).toEqual({ context: 1_000_000, output: 65_536 })
-    expect(selected.route.defaults.providerOptions).toEqual({
-      gemini: { thinkingConfig: { thinkingBudget: 1_024 } },
-    })
+    expect(selected.route.defaults.providerOptions).toEqual({ thinkingConfig: { thinkingBudget: 1_024 } })
  })

  test("selects Vertex entrypoints with the same model contract", async () => {
@@ -305,7 +299,7 @@ describe("provider package entrypoints", () => {
      baseURL: "https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi",
      path: "/responses",
    })
-    expect(responses.route.defaults.providerOptions).toEqual({ openresponses: { store: false } })
+    expect(responses.route.defaults.providerOptions).toEqual({ store: false })
  })

  test("rejects conflicting Vertex auth settings at runtime", async () => {
@@ -63,7 +63,8 @@ describe("Anthropic Messages route", () => {
      const prepared = yield* compileRequest(
        LLMRequest.update(request, {
          providerOptions: {
-            anthropic: { thinking: { type: "adaptive", display: "summarized" }, effort: "low" },
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "low",
          },
        }),
      )
@@ -79,17 +80,17 @@ describe("Anthropic Messages route", () => {
    Effect.gen(function* () {
      const enabled = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: 1_024 } } },
+          providerOptions: { thinking: { type: "enabled", budgetTokens: 1_024 } },
        }),
      )
      const legacy = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { anthropic: { thinking: { type: "enabled", budget_tokens: 2_048 } } },
+          providerOptions: { thinking: { type: "enabled", budget_tokens: 2_048 } },
        }),
      )
      const disabled = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { anthropic: { thinking: { type: "disabled" } } },
+          providerOptions: { thinking: { type: "disabled" } },
        }),
      )

@@ -103,7 +104,7 @@ describe("Anthropic Messages route", () => {
    Effect.gen(function* () {
      const error = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { anthropic: { thinking: { type: "enabled" } } },
+          providerOptions: { thinking: { type: "enabled" } },
        }),
      ).pipe(Effect.flip)

@@ -1062,9 +1063,7 @@ describe("Anthropic Messages route", () => {
        ),
      )

-      expect(response.toolCalls).toMatchObject([
-        { id: "call_1", name: "lookup", input: { query: "weather" } },
-      ])
+      expect(response.toolCalls).toMatchObject([{ id: "call_1", name: "lookup", input: { query: "weather" } }])
      expect(response.finishReason).toEqual({ normalized: "tool-calls", raw: "tool_use" })
    }),
  )
@@ -48,28 +48,26 @@ describe("Gemini route", () => {
      const prepared = yield* compileRequest(
        LLMRequest.update(request, {
          providerOptions: {
-            gemini: {
-              cachedContent: "cachedContents/example",
-              safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" }],
-              serviceTier: "priority",
-              thinkingConfig: { thinkingBudget: 0, includeThoughts: false, thinkingLevel: "high" },
-            },
+            cachedContent: "cachedContents/example",
+            safetySettings: [{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "BLOCK_ONLY_HIGH" }],
+            serviceTier: "priority",
+            thinkingConfig: { thinkingBudget: 0, includeThoughts: false, thinkingLevel: "high" },
          },
        }),
      )
      const filtered = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "invalid", includeThoughts: false } } },
+          providerOptions: { thinkingConfig: { thinkingBudget: "invalid", includeThoughts: false } },
        }),
      )
      const defaulted = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { gemini: { thinkingConfig: { thinkingLevel: "high" } } },
+          providerOptions: { thinkingConfig: { thinkingLevel: "high" } },
        }),
      )
      const emptySafetySettings = yield* compileRequest(
        LLMRequest.update(request, {
-          providerOptions: { gemini: { safetySettings: [] } },
+          providerOptions: { safetySettings: [] },
        }),
      )

@@ -62,7 +62,7 @@ describe("Google Vertex providers", () => {
            accessToken: "vertex-token",
            project: "vertex-project",
            providerOptions: {
-              gemini: { labels: { component: "opencode", environment: "test" } },
+              labels: { component: "opencode", environment: "test" },
            },
          }).model("gemini-3.5-flash"),
          prompt: "Say hello.",
@@ -15,7 +15,7 @@ const cases = [
    model: LanguageModel.update(
      OpenRouter.configure({
        apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
-        providerOptions: { openrouter: { reasoning: { max_tokens: 1024 } } },
+        providerOptions: { reasoning: { max_tokens: 1024 } },
      }).model("anthropic/claude-sonnet-4.6"),
      { compatibility: { reasoningField: "reasoning" } },
    ),
@@ -165,7 +165,7 @@ describe("OpenAI Chat route", () => {
        LLM.request({
          model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).chat("gpt-4o-mini"),
          prompt: "think",
-          providerOptions: { openai: { reasoningEffort: "max" } },
+          providerOptions: { reasoningEffort: "max" },
        }),
      )

@@ -221,7 +221,7 @@ describe("OpenAI Chat route", () => {
        LLM.request({
          model,
          prompt: "think",
-          providerOptions: { openai: { reasoningEffort: "experimental" } },
+          providerOptions: { reasoningEffort: "experimental" },
        }),
      )

@@ -255,7 +255,7 @@ describe("OpenAI Chat route", () => {
    LLMClient.generate(
      LLMRequest.update(request, {
        model: Azure.configure({
-          baseURL: "https://opencode-test.openai.azure.com/openai/v1/",
+          baseURL: "https://opencode-test.openai.azure.com/openai/",
          apiKey: "azure-key",
          headers: { authorization: "Bearer stale" },
        }).chat("gpt-4o-mini"),
@@ -118,20 +118,18 @@ describe("Open Responses-compatible route", () => {
    }),
  )

-  it.effect("reads standard options from the Open Responses namespace", () =>
+  it.effect("reads standard Open Responses options", () =>
    Effect.gen(function* () {
      const model = configure({
        apiKey: "test-key",
        baseURL: "https://responses.example.test/v1",
        providerOptions: {
-          openresponses: {
-            reasoningEffort: "low",
-            store: true,
-            truncation: "auto",
-            allowedTools: { toolNames: ["lookup"] },
-            maxToolCalls: 2,
-            parallelToolCalls: false,
-          },
+          reasoningEffort: "low",
+          store: true,
+          truncation: "auto",
+          allowedTools: { toolNames: ["lookup"] },
+          maxToolCalls: 2,
+          parallelToolCalls: false,
        },
      }).model("example-model")
      const prepared = yield* compileRequest(
@@ -159,8 +159,8 @@ describe("OpenAI Responses route", () => {

  it.effect("lowers semantic service tier options", () =>
    Effect.gen(function* () {
-      const input = LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "priority" } } })
-      expect(input.providerOptions).toEqual({ openai: { serviceTier: "priority" } })
+      const input = LLMRequest.update(request, { providerOptions: { serviceTier: "priority" } })
+      expect(input.providerOptions).toEqual({ serviceTier: "priority" })
      const prepared = yield* compileRequest(input)

      expect(prepared.body).toMatchObject({ service_tier: "priority" })
@@ -171,17 +171,27 @@ describe("OpenAI Responses route", () => {
  it.effect("passes through custom OpenAI reasoning effort strings", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
-        LLMRequest.update(request, { providerOptions: { openai: { reasoningEffort: "experimental" } } }),
+        LLMRequest.update(request, { providerOptions: { reasoningEffort: "experimental" } }),
      )

      expect(prepared.body.reasoning).toEqual({ effort: "experimental" })
    }),
  )

+  it.effect("passes through custom OpenAI text verbosity strings", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLMRequest.update(request, { providerOptions: { textVerbosity: "verbose" } }),
+      )
+
+      expect(prepared.body.text).toEqual({ verbosity: "verbose" })
+    }),
+  )
+
  it.effect("omits unsupported semantic service tiers", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
-        LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "unsupported" } } }),
+        LLMRequest.update(request, { providerOptions: { serviceTier: "unsupported" } }),
      )

      expect(prepared.body).not.toHaveProperty("service_tier")
@@ -1280,15 +1290,13 @@ describe("OpenAI Responses route", () => {
          ],
          toolChoice: "none",
          providerOptions: {
-            openai: {
-              reasoningEffort: "high",
-              reasoningSummary: "auto",
-              include: ["reasoning.encrypted_content"],
-              truncation: "disabled",
-              allowedTools: { toolNames: ["read", "grep"], mode: "required" },
-              maxToolCalls: 4,
-              parallelToolCalls: false,
-            },
+            reasoningEffort: "high",
+            reasoningSummary: "auto",
+            include: ["reasoning.encrypted_content"],
+            truncation: "disabled",
+            allowedTools: { toolNames: ["read", "grep"], mode: "required" },
+            maxToolCalls: 4,
+            parallelToolCalls: false,
          },
        }),
      )
@@ -1319,9 +1327,7 @@ describe("OpenAI Responses route", () => {
          model,
          prompt: "hi",
          providerOptions: {
-            openai: {
-              include: ["reasoning.encrypted_content", "code_interpreter_call.outputs", "web_search_call.results"],
-            },
+            include: ["reasoning.encrypted_content", "code_interpreter_call.outputs", "web_search_call.results"],
          },
        }),
      )
@@ -1340,7 +1346,7 @@ describe("OpenAI Responses route", () => {
        LLM.request({
          model,
          prompt: "hi",
-          providerOptions: { openai: { include: ["reasoning.encrypted_content", "bogus.thing"] } },
+          providerOptions: { include: ["reasoning.encrypted_content", "bogus.thing"] },
        }),
      )

@@ -1350,9 +1356,7 @@ describe("OpenAI Responses route", () => {

  it.effect("treats an explicit empty include as no include at all", () =>
    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({ model, prompt: "hi", providerOptions: { openai: { include: [] } } }),
-      )
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "hi", providerOptions: { include: [] } }))

      expect(prepared.body.include).toBeUndefined()
    }),
@@ -1361,7 +1365,7 @@ describe("OpenAI Responses route", () => {
  it.effect("passes an unknown includable value through", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
-        LLM.request({ model, prompt: "hi", providerOptions: { openai: { include: ["bogus.thing"] } } }),
+        LLM.request({ model, prompt: "hi", providerOptions: { include: ["bogus.thing"] } }),
      )

      expect(prepared.body.include).toEqual(["bogus.thing"])
@@ -1370,9 +1374,7 @@ describe("OpenAI Responses route", () => {

  it.effect("omits include when no include is set", () =>
    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({ model, prompt: "hi", providerOptions: { openai: { store: false } } }),
-      )
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "hi", providerOptions: { store: false } }))

      expect(prepared.body.include).toBeUndefined()
    }),
@@ -1403,7 +1405,7 @@ describe("OpenAI Responses route", () => {
        LLM.request({
          model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).responses("gpt-5.2"),
          prompt: "hi",
-          providerOptions: { openai: { include: [] } },
+          providerOptions: { include: [] },
        }),
      )

@@ -1727,7 +1729,7 @@ describe("OpenAI Responses route", () => {
  it.effect("streams each reasoning summary part as a separate block", () =>
    Effect.gen(function* () {
      const response = yield* LLMClient.generate(
-        LLMRequest.update(request, { providerOptions: { openai: { store: false } } }),
+        LLMRequest.update(request, { providerOptions: { store: false } }),
      ).pipe(
        Effect.provide(
          fixedResponse(
@@ -1781,9 +1783,7 @@ describe("OpenAI Responses route", () => {

  it.effect("closes reasoning summary parts when storage is not disabled", () =>
    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLMRequest.update(request, { providerOptions: { openai: { store: true } } }),
-      ).pipe(
+      const response = yield* LLMClient.generate(LLMRequest.update(request, { providerOptions: { store: true } })).pipe(
        Effect.provide(
          fixedResponse(
            sseEvents(
@@ -1837,7 +1837,7 @@ describe("OpenAI Responses route", () => {
            ]),
            Message.user("Summarize it."),
          ],
-          providerOptions: { openai: { store: false } },
+          providerOptions: { store: false },
        }),
      ).pipe(
        Effect.provide(
@@ -1896,7 +1896,7 @@ describe("OpenAI Responses route", () => {
              { type: "text", text: "After." },
            ]),
          ],
-          providerOptions: { openai: { store: false } },
+          providerOptions: { store: false },
        }),
      )

@@ -1926,7 +1926,7 @@ describe("OpenAI Responses route", () => {
              },
            ]),
          ],
-          providerOptions: { openai: { store: true } },
+          providerOptions: { store: true },
        }),
      )

@@ -1959,7 +1959,7 @@ describe("OpenAI Responses route", () => {
            ]),
            Message.user("Continue."),
          ],
-          providerOptions: { openai: { store: true } },
+          providerOptions: { store: true },
        }),
      )

@@ -2032,7 +2032,7 @@ describe("OpenAI Responses route", () => {
              },
            ]),
          ],
-          providerOptions: { openai: { store: false } },
+          providerOptions: { store: false },
        }),
      )

@@ -2072,7 +2072,7 @@ describe("OpenAI Responses route", () => {
            ]),
            Message.user("Summarize it."),
          ],
-          providerOptions: { openai: { store: false } },
+          providerOptions: { store: false },
        }),
      )

@@ -141,7 +141,7 @@ describe("OpenRouter", () => {
        LLM.request({
          model: OpenRouter.configure({
            apiKey: "test-key",
-            providerOptions: { openrouter: { usage: false } },
+            providerOptions: { usage: false },
          }).model("openai/gpt-4o-mini"),
          cache: "none",
          prompt: "Hello",
@@ -159,17 +159,15 @@ describe("OpenRouter", () => {
          model: OpenRouter.configure({
            apiKey: "test-key",
            providerOptions: {
-              openrouter: {
-                usage: true,
-                reasoning: { effort: "high" },
-                models: ["anthropic/claude-sonnet-4.6", "google/gemini-3.1-pro"],
-                provider: { order: ["anthropic", "google"], require_parameters: true },
-                plugins: [{ id: "response-healing" }],
-                web_search_options: { engine: "native", max_results: 3 },
-                debug: { echo_upstream_body: true },
-                user: "user_123",
-                future_option: { enabled: true },
-              },
+              usage: true,
+              reasoning: { effort: "high" },
+              models: ["anthropic/claude-sonnet-4.6", "google/gemini-3.1-pro"],
+              provider: { order: ["anthropic", "google"], require_parameters: true },
+              plugins: [{ id: "response-healing" }],
+              web_search_options: { engine: "native", max_results: 3 },
+              debug: { echo_upstream_body: true },
+              user: "user_123",
+              future_option: { enabled: true },
            },
          }).model("anthropic/claude-3.7-sonnet:thinking"),
          prompt: "Think briefly.",
@@ -210,7 +208,7 @@ describe("OpenRouter", () => {
        LLM.request({
          model: OpenRouter.configure({
            apiKey: "test-key",
-            providerOptions: { openrouter: invalid },
+            providerOptions: invalid,
          }).model("openai/gpt-4o-mini"),
          prompt: "Hello",
        }),
@@ -181,12 +181,10 @@ const normalizeImageText = (value: string) =>
    .trim()

 const encryptedReasoningOptions = {
-  openai: {
-    store: false,
-    include: ["reasoning.encrypted_content"],
-    reasoningEffort: "low",
-    reasoningSummary: "auto",
-  },
+  store: false,
+  include: ["reasoning.encrypted_content"],
+  reasoningEffort: "low",
+  reasoningSummary: "auto",
 } as const

 type AssistantTextExpectation = string | RegExp
@@ -304,8 +302,7 @@ const runTextScenario = (context: GoldenScenarioContext) =>
    assistant.expectText(/^Hello!?$/, {
      system: "You are concise.",
      maxTokens: context.maxTokens ?? 40,
-      providerOptions:
-        context.model.route.id === "gemini" ? { gemini: { thinkingConfig: { thinkingBudget: 0 } } } : undefined,
+      providerOptions: context.model.route.id === "gemini" ? { thinkingConfig: { thinkingBudget: 0 } } : undefined,
    }),
  ])

@@ -388,7 +385,7 @@ const runReasoningScenario = (context: GoldenScenarioContext) =>
    user("Think briefly, then reply exactly with: Hello!"),
    assistant.expectText(/^Hello!?$/, {
      system: "Show concise reasoning when the provider supports visible reasoning summaries.",
-      providerOptions: { openai: { reasoningEffort: "low", reasoningSummary: "auto" } },
+      providerOptions: { reasoningEffort: "low", reasoningSummary: "auto" },
      maxTokens: context.maxTokens ?? 120,
      assert: (response) => expect(response.usage?.reasoningTokens ?? 0).toBeGreaterThan(0),
    }),
@@ -55,7 +55,7 @@ const schema_only_weather = Tool.make({
 })

 describe("LLMClient tools", () => {
-  it.effect("uses the registered model route when adding runtime tools", () =>
+  it.effect("uses the selected model route when adding runtime tools", () =>
    Effect.gen(function* () {
      const layer = scriptedResponses([
        sseEvents(deltaChunk({ role: "assistant", content: "Done." }), finishChunk("stop")),
@@ -636,7 +636,7 @@ describe("LLMClient tools", () => {
            .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
            .model({ id: "gpt-5.5" }),
          prompt: "Use the tool.",
-          providerOptions: { openai: { store: false, include: ["reasoning.encrypted_content"] } },
+          providerOptions: { store: false, include: ["reasoning.encrypted_content"] },
        }),
        tools: { get_weather },
      }).pipe(Stream.runCollect, Effect.provide(layer))
@@ -27,7 +27,7 @@ export function map(input: MapInput): Mapping | undefined {
          ...baseSettings,
          ...mapAPIKey(input.settings),
          ...(typeof input.settings.authToken === "string" ? { authToken: input.settings.authToken } : {}),
-          ...mapAnthropicOptions(input.settings),
+          ...mapProviderOptions(input.settings, ["apiKey", "authToken", "baseURL"]),
        },
      }
    case "@ai-sdk/amazon-bedrock":
@@ -89,10 +89,8 @@ export function map(input: MapInput): Mapping | undefined {
          ...(isRecord(input.settings.thinking) || typeof input.settings.effort === "string"
            ? {
                providerOptions: {
-                  anthropic: {
-                    ...(isRecord(input.settings.thinking) ? { thinking: input.settings.thinking } : {}),
-                    ...(typeof input.settings.effort === "string" ? { effort: input.settings.effort } : {}),
-                  },
+                  ...(isRecord(input.settings.thinking) ? { thinking: input.settings.thinking } : {}),
+                  ...(typeof input.settings.effort === "string" ? { effort: input.settings.effort } : {}),
                },
              }
            : {}),
@@ -108,13 +106,7 @@ export function map(input: MapInput): Mapping | undefined {
          ...(typeof input.settings.organization === "string" ? { organization: input.settings.organization } : {}),
          ...(typeof input.settings.project === "string" ? { project: input.settings.project } : {}),
          ...(isStringRecord(input.settings.queryParams) ? { queryParams: input.settings.queryParams } : {}),
-          ...mapProviderOptions(input.settings, "openai", [
-            "apiKey",
-            "baseURL",
-            "organization",
-            "project",
-            "queryParams",
-          ]),
+          ...mapProviderOptions(input.settings, ["apiKey", "baseURL", "organization", "project", "queryParams"]),
        },
      }
    case "@ai-sdk/openai-compatible":
@@ -125,7 +117,7 @@ export function map(input: MapInput): Mapping | undefined {
          ...baseSettings,
          ...mapAPIKey(input.settings),
          provider: input.providerID,
-          ...mapProviderOptions(input.settings, "openai", ["apiKey", "baseURL"]),
+          ...mapProviderOptions(input.settings, ["apiKey", "baseURL"]),
        },
      }
    case "@openrouter/ai-sdk-provider":
@@ -142,18 +134,10 @@ export function map(input: MapInput): Mapping | undefined {
  }
 }

-function mapAnthropicOptions(settings: Readonly<Record<string, unknown>>) {
-  return mapProviderOptions(settings, "anthropic", ["apiKey", "authToken", "baseURL"])
-}
-
-function mapProviderOptions(
-  settings: Readonly<Record<string, unknown>>,
-  key: string,
-  excluded: ReadonlyArray<string>,
-) {
+function mapProviderOptions(settings: Readonly<Record<string, unknown>>, excluded: ReadonlyArray<string>) {
  const options = Object.fromEntries(Object.entries(settings).filter(([name]) => !excluded.includes(name)))
  if (Object.keys(options).length === 0) return {}
-  return { providerOptions: { [key]: options } }
+  return { providerOptions: options }
 }

 function mapBedrockMantle(input: MapInput, baseSettings: Readonly<Record<string, unknown>>): Mapping | undefined {
@@ -286,7 +270,7 @@ function mapOpenAIOptions(settings: Readonly<Record<string, unknown>>) {
    ...(typeof settings.serviceTier === "string" ? { serviceTier: settings.serviceTier } : {}),
  }
  if (Object.keys(options).length === 0) return {}
-  return { providerOptions: { openai: options } }
+  return { providerOptions: options }
 }

 function mapBaseSettings(settings: Readonly<Record<string, unknown>>) {
@@ -317,7 +301,7 @@ function mapGoogleOptions(settings: Readonly<Record<string, unknown>>, extra: Re
    ...extra,
  }
  if (Object.keys(options).length === 0) return {}
-  return { providerOptions: { gemini: options } }
+  return { providerOptions: options }
 }

 function mapOpenRouter(
@@ -369,7 +353,7 @@ function mapOpenRouterOptions(settings: Readonly<Record<string, unknown>>) {
    ),
  )
  if (Object.keys(options).length === 0) return {}
-  return { providerOptions: { openrouter: options } }
+  return { providerOptions: options }
 }

 function isStringRecord(value: unknown): value is Readonly<Record<string, string>> {
@@ -382,5 +366,5 @@ function mapXAIOptions(settings: Readonly<Record<string, unknown>>) {
    ...(typeof settings.store === "boolean" ? { store: settings.store } : {}),
  }
  if (Object.keys(options).length === 0) return {}
-  return { providerOptions: { xai: options } }
+  return { providerOptions: options }
 }
@@ -307,12 +307,6 @@ function modelFromLanguage(info: Info, language: LanguageModelV3) {
  const packageName = Provider.packageName(info.package!)
  const projected = mapBodyToProviderOptions(info, packageName)
  const optionKey = providerOptionKey(packageName, info.providerID)
-  const providerOptions = (() => {
-    if (projected.settings === undefined) return
-    if (packageName === "@ai-sdk/gateway") return gatewayProviderOptions(info.modelID ?? info.id, projected.settings)
-    if (packageName === "@ai-sdk/azure") return { openai: projected.settings, azure: projected.settings }
-    return { [optionKey]: projected.settings }
-  })()
  const route: AnyRoute = {
    id: `ai-sdk:${packageName}`,
    provider: ProviderID.make(info.providerID),
@@ -335,11 +329,11 @@ function modelFromLanguage(info: Info, language: LanguageModelV3) {
              headers: info.headers,
            },
      limits: { context: info.limit.context, input: info.limit.input, output: info.limit.output },
-      providerOptions,
+      providerOptions: projected.settings,
    },
    body: {
      schema: Schema.Unknown,
-      from: (request) => Effect.succeed(callOptions(request)),
+      from: (request) => Effect.succeed(callOptions(request, packageName, info.modelID ?? info.id, optionKey)),
    },
    with: () => route,
    model: (input) =>
@@ -414,7 +408,12 @@ function mapBodyToProviderOptions(model: Info, packageName: string) {
  }
 }

-function callOptions(request: LLMRequest): LanguageModelV3CallOptions {
+function callOptions(
+  request: LLMRequest,
+  packageName: string | undefined,
+  modelID: ID,
+  optionKey: string,
+): LanguageModelV3CallOptions {
  return {
    prompt: prompt(request),
    maxOutputTokens: request.generation?.maxTokens,
@@ -428,7 +427,7 @@ function callOptions(request: LLMRequest): LanguageModelV3CallOptions {
    tools: request.tools.map(tool),
    toolChoice: toolChoice(request.toolChoice),
    headers: request.http?.headers,
-    providerOptions: providerOptions(request.providerOptions),
+    providerOptions: requestProviderOptions(request.providerOptions, packageName, modelID, optionKey),
  }
 }

@@ -526,7 +525,7 @@ function assistantPart(part: ContentPart): AssistantContent {
    case "media":
      return [{ type: "file", mediaType: part.mediaType, data: part.data, filename: part.filename }]
    case "reasoning":
-      return [{ type: "reasoning", text: part.text, providerOptions: providerOptions(part.providerMetadata) }]
+      return [{ type: "reasoning", text: part.text, providerOptions: metadataProviderOptions(part.providerMetadata) }]
    case "tool-call":
      return [
        {
@@ -535,7 +534,7 @@ function assistantPart(part: ContentPart): AssistantContent {
          toolName: part.name,
          input: part.input,
          providerExecuted: part.providerExecuted,
-          providerOptions: providerOptions(part.providerMetadata),
+          providerOptions: metadataProviderOptions(part.providerMetadata),
        },
      ]
    case "tool-result":
@@ -551,7 +550,7 @@ function toolResultPart(part: ContentPart): ToolResultContent[] {
      toolCallId: part.id,
      toolName: part.name,
      output: toolOutput(part.result),
-      providerOptions: providerOptions(part.providerMetadata),
+      providerOptions: metadataProviderOptions(part.providerMetadata),
    },
  ]
 }
@@ -595,7 +594,20 @@ function toolChoice(input: LLMRequest["toolChoice"]): LanguageModelV3ToolChoice
  return { type: input.type }
 }

-function providerOptions(input: LLMRequest["providerOptions"]): SharedV3ProviderOptions | undefined {
+function requestProviderOptions(
+  input: LLMRequest["providerOptions"],
+  packageName: string | undefined,
+  modelID: ID,
+  optionKey: string,
+): SharedV3ProviderOptions | undefined {
+  if (!input) return undefined
+  const options = jsonObject(input)
+  if (packageName === "@ai-sdk/gateway") return gatewayProviderOptions(modelID, options)
+  if (packageName === "@ai-sdk/azure") return { openai: options, azure: options }
+  return { [optionKey]: options }
+}
+
+function metadataProviderOptions(input: ProviderMetadata | undefined): SharedV3ProviderOptions | undefined {
  if (!input) return undefined
  return Object.fromEntries(Object.entries(input).map(([key, value]) => [key, jsonObject(value)]))
 }
@@ -22,16 +22,14 @@ describe("AISDKNative", () => {
      settings: {
        apiKey: "secret",
        baseURL: "https://api.meta.ai/v1",
-        organization: "org",
        providerOptions: {
-          openai: {
-            reasoningEffort: "xhigh",
-            reasoningSummary: "auto",
-            include: ["reasoning.encrypted_content"],
-            instructions: "Follow the repository instructions.",
-            truncation: "auto",
-          },
+          reasoningEffort: "xhigh",
+          reasoningSummary: "auto",
+          include: ["reasoning.encrypted_content"],
+          instructions: "Follow the repository instructions.",
+          truncation: "auto",
        },
+        organization: "org",
      },
    })
    expect(map("@ai-sdk/openai-compatible", { baseURL: "https://example.com/v1", reasoningEffort: "high" })).toEqual({
@@ -39,7 +37,7 @@ describe("AISDKNative", () => {
      settings: {
        baseURL: "https://example.com/v1",
        provider: "test-provider",
-        providerOptions: { openai: { reasoningEffort: "high" } },
+        providerOptions: { reasoningEffort: "high" },
      },
    })
  })
@@ -58,10 +56,8 @@ describe("AISDKNative", () => {
        authToken: "token",
        baseURL: "https://anthropic.example/v1",
        providerOptions: {
-          anthropic: {
-            thinking: { type: "adaptive", display: "summarized" },
-            effort: "high",
-          },
+          thinking: { type: "adaptive", display: "summarized" },
+          effort: "high",
        },
      },
    })
@@ -81,7 +77,8 @@ describe("AISDKNative", () => {
        project: "project",
        location: "us-central1",
        providerOptions: {
-          gemini: { labels: { environment: "test" }, thinkingConfig: { thinkingLevel: "high" } },
+          labels: { environment: "test" },
+          thinkingConfig: { thinkingLevel: "high" },
        },
      },
    })
@@ -115,7 +112,7 @@ describe("AISDKNative", () => {
        apiVersion: "2025-01-01-preview",
        queryParams: { feature: "enabled" },
        useDeploymentBasedUrls: true,
-        providerOptions: { openai: { reasoningEffort: "high" } },
+        providerOptions: { reasoningEffort: "high" },
      },
    })
    expect(map("@ai-sdk/azure", { ...settings, useCompletionUrls: true }, "custom-deployment")?.package).toBe(
@@ -193,11 +190,9 @@ describe("AISDKNative", () => {
        baseURL: "https://mantle.test/v1",
        region: "us-west-2",
        providerOptions: {
-          openai: {
-            reasoningEffort: "high",
-            reasoningSummary: "auto",
-            include: ["reasoning.encrypted_content"],
-          },
+          reasoningEffort: "high",
+          reasoningSummary: "auto",
+          include: ["reasoning.encrypted_content"],
        },
      },
      headers: { "x-test": "value" },
@@ -246,7 +241,7 @@ describe("AISDKNative", () => {
          region: "eu-west-1",
        },
        baseURL: "https://bedrock-mantle.eu-west-1.api.aws/v1",
-        providerOptions: { openai: { store: false } },
+        providerOptions: { store: false },
      },
    })
  })
@@ -278,12 +273,10 @@ describe("AISDKNative", () => {
      package: "@opencode-ai/ai/providers/openrouter",
      settings: {
        providerOptions: {
-          openrouter: {
-            models: ["anthropic/claude-sonnet-4.6"],
-            provider: { only: ["anthropic"], require_parameters: true },
-            reasoning: { effort: "high" },
-            future_option: { enabled: true },
-          },
+          models: ["anthropic/claude-sonnet-4.6"],
+          provider: { only: ["anthropic"], require_parameters: true },
+          reasoning: { effort: "high" },
+          future_option: { enabled: true },
        },
      },
      headers: {
@@ -312,15 +305,13 @@ describe("AISDKNative", () => {
      package: "@opencode-ai/ai/providers/google",
      settings: {
        providerOptions: {
-          gemini: {
-            cachedContent: "cachedContents/example",
-            safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
-            serviceTier: "flex",
-            thinkingConfig: {
-              thinkingBudget: 0,
-              includeThoughts: false,
-              thinkingLevel: "high",
-            },
+          cachedContent: "cachedContents/example",
+          safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+          serviceTier: "flex",
+          thinkingConfig: {
+            thinkingBudget: 0,
+            includeThoughts: false,
+            thinkingLevel: "high",
          },
        },
      },
@@ -330,7 +321,7 @@ describe("AISDKNative", () => {
  test("maps Google thinking settings independently", () => {
    for (const thinkingConfig of [{ thinkingBudget: -1 }, { includeThoughts: true }, { thinkingLevel: "medium" }]) {
      expect(map("@ai-sdk/google", { thinkingConfig })).toMatchObject({
-        settings: { providerOptions: { gemini: { thinkingConfig } } },
+        settings: { providerOptions: { thinkingConfig } },
      })
    }
  })
@@ -345,11 +336,9 @@ describe("AISDKNative", () => {
    ).toMatchObject({
      settings: {
        providerOptions: {
-          gemini: {
-            cachedContent: "cachedContents/example",
-            safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
-            serviceTier: "future-tier",
-          },
+          cachedContent: "cachedContents/example",
+          safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+          serviceTier: "future-tier",
        },
      },
    })
@@ -374,10 +363,8 @@ describe("AISDKNative", () => {
        location: "eu",
        project: "vertex-project",
        providerOptions: {
-          gemini: {
-            labels: { component: "opencode", environment: "test" },
-            thinkingConfig: { thinkingLevel: "high" },
-          },
+          labels: { component: "opencode", environment: "test" },
+          thinkingConfig: { thinkingLevel: "high" },
        },
      },
      headers: { "x-test": "value" },
@@ -403,10 +390,8 @@ describe("AISDKNative", () => {
        location: "eu",
        project: "vertex-project",
        providerOptions: {
-          anthropic: {
-            thinking: { type: "adaptive", display: "summarized" },
-            effort: "high",
-          },
+          thinking: { type: "adaptive", display: "summarized" },
+          effort: "high",
        },
      },
      headers: { "x-test": "value" },
@@ -427,10 +412,8 @@ describe("AISDKNative", () => {
        apiKey: "secret",
        baseURL: "https://xai.example/v1",
        providerOptions: {
-          xai: {
-            reasoningEffort: "custom",
-            store: true,
-          },
+          reasoningEffort: "custom",
+          store: true,
        },
      },
    })
@@ -94,10 +94,19 @@ it.effect("projects request settings, headers, and body overlays", () =>
      headers: { "x-test": "header" },
      body: { safety_setting: "strict" },
    })
-    const prepared = yield* compileRequest(LLM.request({ model: resolved, prompt: "Hello" }))
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: resolved,
+        prompt: "Hello",
+        providerOptions: { safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }] },
+      }),
+    )

    expect(prepared.body.providerOptions).toEqual({
-      google: { thinkingConfig: { thinkingBudget: 1024 } },
+      google: {
+        thinkingConfig: { thinkingBudget: 1024 },
+        safetySettings: [{ category: "HARM_CATEGORY_HARASSMENT", threshold: "BLOCK_NONE" }],
+      },
    })
    expect(prepared.body.headers).toEqual({ "x-test": "header" })
    expect(body).toEqual({ safety_setting: "strict" })
@@ -2,7 +2,7 @@ import { describe, expect } from "bun:test"
 import { LLM, LanguageModel } from "@opencode-ai/ai"
 import { OpenAIChat } from "@opencode-ai/ai/protocols"
 import { compileRequest } from "@opencode-ai/ai/route/client"
-import { Effect, Layer } from "effect"
+import { ConfigProvider, Effect, Layer } from "effect"
 import { Headers } from "effect/unstable/http"
 import { Credential } from "@opencode-ai/core/credential"
 import { Integration } from "@opencode-ai/core/integration"
@@ -66,6 +66,10 @@ function withEnv<A, E, R>(variables: Record<string, string | undefined>, effect:
  )
 }

+function withConfigEnv<A, E, R>(env: Record<string, string>, effect: () => Effect.Effect<A, E, R>) {
+  return effect().pipe(Effect.provide(ConfigProvider.layer(ConfigProvider.fromEnv({ env }))))
+}
+
 describe("ModelResolver", () => {
  it.effect("constructs native Azure requests with deployment IDs and projected resource URLs", () =>
    Effect.gen(function* () {
@@ -257,7 +261,7 @@ describe("ModelResolver", () => {
  )

  it.effect("treats an empty configured API key as omitted", () =>
-    withEnv({ OPENAI_API_KEY: "environment-key" }, () =>
+    withConfigEnv({ OPENAI_API_KEY: "environment-key" }, () =>
      Effect.gen(function* () {
        const resolved = yield* ModelResolver.fromCatalogModel(
          model(Provider.aisdk("@ai-sdk/openai"), {
@@ -337,7 +341,7 @@ describe("ModelResolver", () => {
    })
    const layer = ModelResolver.layer.pipe(Layer.provide(Layer.mergeAll(catalog, integrations, npm, aisdk)))

-    return withEnv({ GOOGLE_GENERATIVE_AI_API_KEY: undefined }, () =>
+    return withConfigEnv({}, () =>
      Effect.gen(function* () {
        const resolver = yield* ModelResolver.Service
        const resolved = yield* resolver.resolveModel(selected)
@@ -358,7 +362,7 @@ describe("ModelResolver", () => {
  })

  it.effect("keeps native provider environment auth strict when no API key is configured", () =>
-    withEnv({ GOOGLE_GENERATIVE_AI_API_KEY: undefined }, () =>
+    withConfigEnv({}, () =>
      Effect.gen(function* () {
        const resolved = yield* ModelResolver.fromCatalogModel(
          model(Provider.aisdk("@ai-sdk/google"), {
@@ -477,7 +481,11 @@ describe("ModelResolver", () => {
          },
        ],
      })
-      const resolved = yield* ModelResolver.resolveModel(catalog, VariantID.make("xhigh"))
+      const resolved = yield* ModelResolver.resolveModel(
+        catalog,
+        VariantID.make("xhigh"),
+        Credential.Key.make({ type: "key", key: "secret" }),
+      )

      expect(resolved.route.defaults.headers).toMatchObject({ "x-test": "header", "x-variant": "high" })
      expect(resolved.route.defaults.http?.body).toEqual({
@@ -487,12 +495,10 @@ describe("ModelResolver", () => {
        temperature: 0.2,
      })
      expect(resolved.route.defaults.providerOptions).toEqual({
-        openai: {
-          store: false,
-          reasoningEffort: "xhigh",
-          reasoningSummary: "auto",
-          include: ["reasoning.encrypted_content"],
-        },
+        store: false,
+        reasoningEffort: "xhigh",
+        reasoningSummary: "auto",
+        include: ["reasoning.encrypted_content"],
      })
      const prepared = yield* compileRequest(LLM.request({ model: resolved, prompt: "Hello" }))
      expect(prepared.body).toMatchObject({
@@ -561,7 +567,7 @@ describe("ModelResolver", () => {
        custom_extension: { enabled: true },
      })
      expect(resolved.route.defaults.providerOptions).toEqual({
-        anthropic: { thinking: { type: "enabled", budgetTokens: 12000 } },
+        thinking: { type: "enabled", budgetTokens: 12000 },
      })
    }),
  )
@@ -843,48 +849,46 @@ describe("ModelResolver", () => {
            include: ["reasoning.encrypted_content"],
          },
          {
-            openai: {
-              reasoningEffort: "xhigh",
-              reasoningSummary: "auto",
-              include: ["reasoning.encrypted_content"],
-            },
+            reasoningEffort: "xhigh",
+            reasoningSummary: "auto",
+            include: ["reasoning.encrypted_content"],
          },
        ],
        [
          "@ai-sdk/anthropic",
          "@opencode-ai/ai/providers/anthropic",
          { thinking: { type: "adaptive", display: "summarized" }, effort: "high" },
-          { anthropic: { thinking: { type: "adaptive", display: "summarized" }, effort: "high" } },
+          { thinking: { type: "adaptive", display: "summarized" }, effort: "high" },
        ],
        [
          "@ai-sdk/openai-compatible",
          "@opencode-ai/ai/providers/openai-compatible",
          { reasoningEffort: "high" },
-          { openai: { reasoningEffort: "high" } },
+          { reasoningEffort: "high" },
        ],
        [
          "@ai-sdk/google",
          "@opencode-ai/ai/providers/google",
          { thinkingConfig: { thinkingLevel: "high" } },
-          { gemini: { thinkingConfig: { thinkingLevel: "high" } } },
+          { thinkingConfig: { thinkingLevel: "high" } },
        ],
        [
          "@ai-sdk/google-vertex",
          "@opencode-ai/ai/providers/google-vertex",
          { thinkingConfig: { thinkingLevel: "high" } },
-          { gemini: { thinkingConfig: { thinkingLevel: "high" } } },
+          { thinkingConfig: { thinkingLevel: "high" } },
        ],
        [
          "@openrouter/ai-sdk-provider",
          "@opencode-ai/ai/providers/openrouter",
          { reasoning: { effort: "high" } },
-          { openrouter: { reasoning: { effort: "high" } } },
+          { reasoning: { effort: "high" } },
        ],
        [
          "@ai-sdk/xai",
          "@opencode-ai/ai/providers/xai",
          { reasoningEffort: "high" },
-          { xai: { reasoningEffort: "high" } },
+          { reasoningEffort: "high" },
        ],
      ] as const

@@ -1000,10 +1004,8 @@ describe("ModelResolver", () => {
                  location: "eu",
                  project: "vertex-project",
                  providerOptions: {
-                    anthropic: {
-                      thinking: { type: "adaptive", display: "summarized" },
-                      effort: "high",
-                    },
+                    thinking: { type: "adaptive", display: "summarized" },
+                    effort: "high",
                  },
                })
                return LanguageModel.make({ id: modelID, provider: "native-provider", route: native.route })
@@ -1076,15 +1078,11 @@ describe("ModelResolver", () => {
      )

      expect(google.route.id).toBe("gemini")
-      expect(google.route.defaults.providerOptions).toEqual({
-        gemini: { thinkingConfig: { thinkingBudget: 1_024 } },
-      })
+      expect(google.route.defaults.providerOptions).toEqual({ thinkingConfig: { thinkingBudget: 1_024 } })
      expect(openrouter.route.id).toBe("openrouter")
-      expect(openrouter.route.defaults.providerOptions).toEqual({ openrouter: { reasoning: { effort: "high" } } })
+      expect(openrouter.route.defaults.providerOptions).toEqual({ reasoning: { effort: "high" } })
      expect(xai.route.id).toBe("openai-responses")
-      expect(xai.route.defaults.providerOptions).toEqual({
-        xai: { reasoningEffort: "high", store: false },
-      })
+      expect(xai.route.defaults.providerOptions).toEqual({ reasoningEffort: "high", store: false })
      expect(bedrock.route.id).toBe("bedrock-converse")
      expect(bedrock.route.defaults.generation).toEqual({ topP: 0.8 })
      expect(bedrock.route.defaults.http?.body).toEqual({ serviceTier: { type: "priority" } })
@@ -17,7 +17,6 @@ import { Connection } from "@opencode-ai/schema/connection"
 import { Credential } from "@opencode-ai/schema/credential"
 import { FileSystem } from "@opencode-ai/schema/filesystem"
 import { Integration } from "@opencode-ai/schema/integration"
-import { AI } from "@opencode-ai/schema/ai"
 import { LLM } from "@opencode-ai/schema/llm"
 import { Permission } from "@opencode-ai/schema/permission"
 import { Pty } from "@opencode-ai/schema/pty"
@@ -96,7 +95,6 @@ test("Core reuses the canonical shared schemas", async () => {
    [coreIntegration.Method, Integration.Method],
    [coreIntegration.Ref, Integration.Ref],
    [coreLocation.Ref, Location.Ref],
-    [coreAI.ProviderMetadata, AI.ProviderMetadata],
    [coreAI.FinishReason, LLM.FinishReason],
    [coreModel.ID, Model.ID],
    [coreModel.VariantID, Model.VariantID],
@@ -1,8 +0,0 @@
-export * as AI from "./ai.js"
-
-import { Schema } from "effect"
-
-export const ProviderMetadata = Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown)).annotate({
-  identifier: "AI.ProviderMetadata",
-})
-export type ProviderMetadata = Schema.Schema.Type<typeof ProviderMetadata>
@@ -8,7 +8,6 @@ export { FileSystem } from "./filesystem.js"
 export { Form } from "./form.js"
 export { Integration } from "./integration.js"
 export { LLM } from "./llm.js"
-export { AI } from "./ai.js"
 export { Location } from "./location.js"
 export { Mcp } from "./mcp.js"
 export { Model } from "./model.js"
@@ -39,7 +39,7 @@ describe("SessionError", () => {
  })
 })

-test("FinishReason is the closed browser-safe provider set", () => {
+test("FinishReason is the closed normalized provider set", () => {
  const reasons = ["stop", "length", "tool-calls", "content-filter", "error", "unknown"] as const
  expect(reasons.map((reason) => Schema.decodeUnknownSync(LLM.FinishReason)(reason))).toEqual([...reasons])
  expect(() => Schema.decodeUnknownSync(LLM.FinishReason)("other")).toThrow()
@@ -46,6 +46,7 @@ const ADD_TAB_WIDTH = 3
 const MARQUEE_DELAY = 600
 const MARQUEE_INTERVAL = 80
 const CONTEXT_MENU_WIDTH = 16
+const MIDDLE_MOUSE_BUTTON = 1
 const RIGHT_MOUSE_BUTTON = 2

 type TabContextMenuState = {
@@ -569,6 +570,14 @@ function VerticalSessionTabs(props: { controller?: SessionTabsController; animat
                  onMouseOver={() => marquee.enter(tab.sessionID, title(), hoveredTitleWidth())}
                  onMouseOut={() => marquee.leave(tab.sessionID)}
                  onMouseDown={(event) => {
+                    if (event.button === MIDDLE_MOUSE_BUTTON) {
+                      didDrag = false
+                      setDragging(undefined)
+                      tabs.close(tab.sessionID)
+                      event.preventDefault()
+                      event.stopPropagation()
+                      return
+                    }
                    if (event.button === RIGHT_MOUSE_BUTTON) {
                      didDrag = false
                      setDragging(undefined)
@@ -1108,6 +1117,14 @@ function HorizontalSessionTabs(props: { controller?: SessionTabsController; anim
              onMouseOver={() => marquee.enter(tab.sessionID, title(), hoveredTitleWidth())}
              onMouseOut={() => marquee.leave(tab.sessionID)}
              onMouseDown={(event) => {
+                if (event.button === MIDDLE_MOUSE_BUTTON) {
+                  didDrag = false
+                  setDragging(undefined)
+                  tabs.close(tab === NEW_SESSION_TAB ? undefined : tab.sessionID)
+                  event.preventDefault()
+                  event.stopPropagation()
+                  return
+                }
                if (event.button === RIGHT_MOUSE_BUTTON) {
                  didDrag = false
                  setDragging(undefined)
@@ -33,11 +33,12 @@ import {
 } from "./form.shared"
 import type { FormBodyState } from "./form.shared"
 import type { RunFooterTheme } from "./theme"
-import type { FormCancel, FormReply, MiniFormRequest } from "./types"
+import type { FormCancel, FormReply, MiniFormRequest, RunTuiConfig } from "./types"

 export function RunFormBody(props: {
  request: MiniFormRequest
  theme: RunFooterTheme
+  cursor?: RunTuiConfig["cursor"]
  onReply: (input: FormReply) => void | Promise<void>
  onCancel: (input: FormCancel) => void | Promise<void>
  openExternal?: (url: string) => Promise<unknown>
@@ -320,6 +321,7 @@ export function RunFormBody(props: {
                backgroundColor={props.theme.surface}
                focusedBackgroundColor={props.theme.surface}
                cursorColor={props.theme.text}
+                cursorStyle={props.cursor}
                focused
                onSubmit={commitInput}
                onContentChange={() => {
@@ -31,7 +31,7 @@ import {
 import { footerWidthPolicy } from "./footer.width"
 import { toolFiletype } from "./tool"
 import { transparent, type RunBlockTheme, type RunFooterTheme } from "./theme"
-import type { MiniPermissionRequest, PermissionReply } from "./types"
+import type { MiniPermissionRequest, PermissionReply, RunTuiConfig } from "./types"
 import { PatchDiff } from "../component/patch-diff"

 function buttons(
@@ -74,6 +74,7 @@ function buttons(
 /** @internal Exported to test managed textarea submission without permission navigation. */
 export function RejectField(props: {
  theme: RunFooterTheme
+  cursor?: RunTuiConfig["cursor"]
  text: string
  disabled: boolean
  onChange: (text: string) => void
@@ -113,6 +114,7 @@ export function RejectField(props: {
      backgroundColor={props.theme.surface}
      focusedBackgroundColor={props.theme.surface}
      cursorColor={props.theme.text}
+      cursorStyle={props.cursor}
      focused={!props.disabled}
      onSubmit={props.onConfirm}
      onContentChange={() => {
@@ -139,6 +141,7 @@ export function RunPermissionBody(props: {
  request: MiniPermissionRequest
  directory?: () => string
  theme: RunFooterTheme
+  cursor?: RunTuiConfig["cursor"]
  block: RunBlockTheme
  onReply: (input: PermissionReply) => void | Promise<void>
  mono?: boolean
@@ -327,6 +330,7 @@ export function RunPermissionBody(props: {
              <box width={narrow() ? "100%" : undefined} flexGrow={1} flexShrink={1}>
                <RejectField
                  theme={props.theme}
+                  cursor={props.cursor}
                  text={state().message}
                  disabled={busy()}
                  onChange={(text) => {
@@ -42,6 +42,7 @@ import type {
  RunPrompt,
  RunPromptPart,
  RunReference,
+  RunTuiConfig,
 } from "./types"

 const AUTOCOMPLETE_ROWS = FOOTER_MENU_ROWS
@@ -175,6 +176,7 @@ export function selectedCommand(text: string, command: RunPrompt["command"]) {

 export function RunPromptBody(props: {
  theme: () => RunFooterTheme
+  cursor?: RunTuiConfig["cursor"]
  background: () => ColorInput
  placeholder: () => StyledText | string
  onSubmit: () => void
@@ -239,6 +241,7 @@ export function RunPromptBody(props: {
          backgroundColor={props.background()}
          focusedBackgroundColor={props.background()}
          cursorColor={props.theme().text}
+          cursorStyle={props.cursor}
          onSubmit={props.onSubmit}
          onKeyDown={props.onKeyDown}
          onPaste={() => {
@@ -335,6 +335,7 @@ export class RunFooter implements FooterApi {
              variants: footer.variants,
              currentVariant: footer.currentVariant,
              theme: footer.theme,
+              cursor: options.tuiConfig.cursor,
              mono: options.mono,
              miniSettings: footer.miniSettings,
              history: footer.history,
@@ -55,6 +55,7 @@ import type {
  RunPrompt,
  RunProvider,
  RunReference,
+  RunTuiConfig,
 } from "./types"
 import type { RunTheme } from "./theme"

@@ -92,6 +93,7 @@ type RunFooterViewProps = {
  subagent?: () => FooterSubagentState
  queuedPrompts?: () => FooterQueuedPrompt[]
  theme: () => RunTheme
+  cursor?: RunTuiConfig["cursor"]
  mono: boolean
  miniSettings: () => MiniSettings
  history?: () => RunPrompt[]
@@ -733,6 +735,7 @@ export function RunFooterView(props: RunFooterViewProps) {
                        <Match when={active().type === "prompt" && route().type === "composer"}>
                          <RunPromptBody
                            theme={theme}
+                            cursor={props.cursor}
                            background={() => runTheme().background}
                            placeholder={composer.placeholder}
                            onSubmit={composer.onSubmit}
@@ -882,6 +885,7 @@ export function RunFooterView(props: RunFooterViewProps) {
                            request={permission()!.request}
                            directory={props.directory}
                            theme={theme()}
+                            cursor={props.cursor}
                            block={block()}
                            onReply={props.onPermissionReply}
                            mono={props.mono}
@@ -893,6 +897,7 @@ export function RunFooterView(props: RunFooterViewProps) {
                              <RunFormBody
                                request={value.request}
                                theme={theme()}
+                                cursor={props.cursor}
                                state={formStates.get(value.request.id) ?? createFormBodyState(value.request)}
                                onState={(state) => {
                                  if (!formsAbsent && !settledForms.has(state.formID))
@@ -392,7 +392,7 @@ export type FormCancel = {
  location?: LocationRef
 }

-export type RunTuiConfig = Pick<Config.Resolved, "keybinds" | "leader" | "theme" | "mini" | "session">
+export type RunTuiConfig = Pick<Config.Resolved, "keybinds" | "leader" | "theme" | "mini" | "session" | "cursor">

 export type MiniSettings = {
  thinking: "show" | "hide"
@@ -1,5 +1,6 @@
 /** @jsxImportSource @opentui/solid */
 import { testRender } from "@opentui/solid"
+import { MouseButton } from "@opentui/core"
 import { expect, test } from "bun:test"
 import { createSignal } from "solid-js"
 import { ConfigProvider } from "../../src/config"
@@ -60,3 +61,41 @@ test("releasing a transcript selection over tab controls does not activate them"
    app.renderer.destroy()
  }
 })
+
+test("middle-click closes a session tab without selecting it", async () => {
+  const [active, setActive] = createSignal("first")
+  const closed: Array<string | undefined> = []
+  const controller = {
+    tabs: () => [
+      { sessionID: "first", title: "First" },
+      { sessionID: "second", title: "Second" },
+    ],
+    current: active,
+    select: setActive,
+    close: (sessionID?: string) => closed.push(sessionID),
+    move() {},
+    status: () => EMPTY_SESSION_TAB_STATUS,
+  } satisfies SessionTabsController
+  const app = await testRender(
+    () => (
+      <TestTuiContexts>
+        <ConfigProvider config={createTuiResolvedConfig({ tabs: { enabled: true } })}>
+          <ThemeProvider mode="dark" source={emptyThemeSource}>
+            <SessionTabs controller={controller} animations={false} />
+          </ThemeProvider>
+        </ConfigProvider>
+      </TestTuiContexts>
+    ),
+    { width: 60, height: 8 },
+  )
+
+  try {
+    app.renderer.start()
+    await app.waitForFrame((frame) => frame.includes("Second"))
+    await app.mockMouse.click(40, 0, MouseButton.MIDDLE)
+    expect(closed).toEqual(["second"])
+    expect(active()).toBe("first")
+  } finally {
+    app.renderer.destroy()
+  }
+})
@@ -169,6 +169,7 @@ async function renderFooter(
          subagent={subagents}
          queuedPrompts={() => input.queuedPrompts ?? []}
          theme={input.theme ?? (() => RUN_THEME_FALLBACK)}
+          cursor={config.cursor}
          mono={input.mono ?? false}
          miniSettings={miniSettings}
          onSubmit={input.onSubmit ?? (() => true)}
@@ -342,6 +343,18 @@ test("direct footer composer area does not adopt footer surface", async () => {
  }
 })

+test("direct footer composer uses the configured cursor style", async () => {
+  const cursor = { style: "underline" as const, blinking: false }
+  const app = await renderFooter({ tuiConfig: { ...tuiConfig, cursor } })
+
+  try {
+    await app.renderOnce()
+    expect(app.renderer.currentFocusedEditor?.cursorStyle).toEqual(cursor)
+  } finally {
+    app.cleanup()
+  }
+})
+
 test("run entry content updates when live commit text changes", async () => {
  const [commit, setCommit] = createSignal<StreamCommit>({
    kind: "tool",
Author	SHA1	Message	Date
rekram1-node	2f60a0b2a2	fix(tui): apply cursor config in mini	2026-08-19 21:47:19 +00:00
Kit Langton	6adb98c266	refactor(ai): flatten provider request options (#43513 )	2026-08-19 17:32:29 -04:00
Kit Langton	83ffd292f8	docs(ai): remove stale design documents (#43512 )	2026-08-19 17:32:23 -04:00
opencode-agent[bot]kitlangton Kit Langton	8fb534d03e	feat(tui): close tabs with middle click (#43497 ) Co-authored-by: kitlangton <7587245+kitlangton@users.noreply.github.com> Co-authored-by: Kit Langton <kit.langton@gmail.com>	2026-08-19 16:40:21 -04:00
opencode-agent[bot]andrekram1-node	d4a0f163a9	test(core): isolate model resolver auth config (#43509 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-08-19 15:25:23 -05:00
Aiden Cline	a9caf9154e	fix: move around ai pkg logic (#43504 )	2026-08-19 15:24:03 -05:00
opencode-agent[bot]andrekram1-node	e0be1c0e13	fix(ai): match AI SDK Azure URL handling (#43506 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-08-19 15:04:54 -05:00
Aiden Cline	8a03b87c1f	fix(ai): avoid azure chat v1 url duplication (#43505 )	2026-08-19 14:50:00 -05:00