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Author SHA1 Message Date
James Long 04c23b8846 feat(tui): expose native OpenCode theme 2026-07-23 16:35:57 +00:00
245 changed files with 5344 additions and 10703 deletions
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@@ -1,8 +0,0 @@
---
"@opencode-ai/plugin": minor
"@opencode-ai/sdk": minor
"@opencode-ai/client": minor
"@opencode-ai/protocol": minor
---
Replace the V2 tool result model with one canonical representation per fact. Tools lose `structured`, projection callbacks, the `Structured` generic, and the exported `Tool.settle` interpreter; tool responses carry schema-validated `output`, model-visible `content`, and optional compact JSON `metadata`. Code Mode receives the validated encoded output. Durable tool success stores non-empty model content plus optional metadata; failure stores one error plus the final bounded partial snapshot. Progress carries metadata only, while `execute.after` hooks receive the canonical terminal outcome and managed `outputPaths`. A one-time migration rewrites existing projected tool rows and moves provider-hosted result payloads into provider-owned result state.
@@ -1,68 +0,0 @@
---
name: ideal-pseudocode
description: Function-by-function refactoring loop driven by ideal pseudocode. Use when the user says "ideal pseudocode", asks to make a function read like its pseudocode, or wants a dense module cleaned up one function at a time.
---
# Ideal Pseudocode
Clean up one function at a time by writing the pseudocode it _should_ read as, naming every delta between that and the real code, and closing only the gaps the user approves.
## Loop
One function per round. Never touch code before the user picks a direction.
1. **Pick the target** with the user — usually the next function up or down the call chain from the last round.
2. **Read the current code** fresh from disk. It may have unsaved or parallel edits; ask before overwriting anything unexpected.
3. **Distill.** Write the function's ideal pseudocode in a `ts`-fenced code block — TypeScript-flavored for syntax highlighting, but pseudocode: comments over mechanics, one line per idea, every arm of a loop visible as an arm. For a dense or unfamiliar function, first show the _current_ structure as pseudocode, then the ideal.
4. **Name the deltas.** A numbered list; each delta is one concrete gap: control flow smuggled through combinators, a flag-typed parameter, colliding names, side-effect plumbing drowning a loop body, twin functions differing only by a filter. For each, give an honest cost/benefit and a decisive recommendation — including "leave it" when the density has reasons (state the reasons).
5. **Verify before proposing.** Any API the proposal builds on (a combinator, schedule, matcher) gets checked against the installed version's source, not memory.
6. **Get buy-in, then apply.** Minimal edits. Quarantine irreducible ugliness inside a small helper whose name is the pseudocode line it implements. Collapse shallow sibling functions into one deep function only when the distinguishing argument is a domain noun, not a behavior switch.
7. **Validate.** Typecheck and the focused test suites from the package directory; rerun timing-sensitive tests repeatedly. Flag any semantic change the restructure introduced, even when tests pass.
8. **Offer the next target** and stop.
## Style
- Keep each round tight: pseudocode block, deltas, recommendation, one question.
- State mutation belongs in one visible place (usually the loop tail), never spread across error channels or callback closures.
- Prefer early return and `if` chains for control flow; matchers are for producing values.
- Compare names against the question each caller is actually asking; rename toward the domain noun.
## Example round
Every round should read like this (abridged from a real one, on an Effect step-runner):
> `runStep` it is. The ideal pseudocode:
>
> ```ts
> // One logical step: one settled model call, however many attempts it takes.
> // An attempt can end without settling in two ways:
> // transient provider failure -> retry the same call, same assistant message
> // compaction rewrote history -> rebuild the request and call again
> function runStep(session, promotable, step) {
> while (true) {
> const result = callModel(session, promotable, step)
>
> if (result.completed) return result
>
> if (result.retryable) {
> wait(retrySchedule) // exhausted -> publish Step.Failed, fail drain
> promotable = none // never re-promote on a second attempt
> continue
> }
>
> // compaction restarted the step: fresh request from rewritten history
> promotable = none
> step = result.step
> }
> }
> ```
>
> Comparing against the real thing, three deltas:
>
> 1. **The retry arm doesn't live in the loop.** In the pseudocode, retry is just another loop arm. In the real code it's smuggled through the error channel: `Effect.tapError` mutating loop variables via `Effect.sync` closures, then `Effect.retryOrElse` re-running a suspended call. Four mutable variables mutated from three different places — the state flow is invisible unless you already know the trick.
> 2. **`recoverOverflow: typeof compaction.compact | undefined`** — a function-typed parameter used as a one-shot armed/disarmed flag. The callee already closes over `compaction`; a boolean says what it is.
> 3. **`assistantMessageID`** exists solely to resume the same durable message across retries — fine, but only legible once the retry arm is visible in the loop.
>
> The unifying move for (1): a schedule driver, so a retryable failure becomes a caught value handled in the loop body exactly like the compaction arm. One honest trade: it's more manual than the blessed combinator — but the manual version is the loop the combinator was hiding, and the loop already exists for restarts. Two restart mechanisms, one control structure.
>
> Want me to apply it — unified loop, simplified schedule input, boolean `recoverOverflow`?
+13 -30
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@@ -61,7 +61,6 @@
"@dnd-kit/helpers": "0.5.0",
"@dnd-kit/solid": "0.5.0",
"@kobalte/core": "catalog:",
"@opencode-ai/client": "file:vendor/opencode-ai-client-1.17.13.tgz",
"@opencode-ai/core": "workspace:*",
"@opencode-ai/schema": "workspace:*",
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"@ai-sdk/openai": "3.0.84",
"@ai-sdk/openai-compatible": "2.0.41",
"@ai-sdk/perplexity": "3.0.26",
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"@aws-sdk/credential-providers": "3.1057.0",
"@effect/platform-node": "catalog:",
"@effect/sql-sqlite-bun": "catalog:",
"@ff-labs/fff-bun": "0.10.1",
"@ff-labs/fff-bun": "0.9.4",
"@lydell/node-pty": "catalog:",
"@modelcontextprotocol/sdk": "1.29.0",
"@opencode-ai/ai": "workspace:*",
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"packages/docs": {
"name": "@opencode-ai/docs",
"devDependencies": {
"effect": "catalog:",
"mint": "4.2.666",
"prettier": "3.6.2",
},
},
"packages/effect-drizzle-sqlite": {
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"version": "1.18.4",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13.tgz",
"@opencode-ai/core": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
"@opencode-ai/ui": "workspace:*",
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"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
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"@opencode-ai/storybook/@types/react": ["@types/react@18.0.25", "", { "dependencies": { "@types/prop-types": "*", "@types/scheduler": "*", "csstype": "^3.0.2" } }, "sha512-xD6c0KDT4m7n9uD4ZHi02lzskaiqcBxf4zi+tXZY98a04wvc0hi/TcCPC2FOESZi51Nd7tlUeOJY8RofL799/g=="],
@@ -6938,8 +6925,6 @@
"aggregate-error/indent-string": ["indent-string@5.0.0", "", {}, "sha512-m6FAo/spmsW2Ab2fU35JTYwtOKa2yAwXSwgjSv1TJzh4Mh7mC3lzAOVLBprb72XsTrgkEIsl7YrFNAiDiRhIGg=="],
"ai-gateway-provider/@ai-sdk/mistral": ["@ai-sdk/mistral@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZXe7nZQgliDdjz5ufH5RKpHWxbN72AzmzzKGbF/z+0K9GN5tUCnftrQRvTRFHA5jAzTapcm2BEevmGLVbMkW+A=="],
"ai-gateway-provider/@ai-sdk/openai": ["@ai-sdk/openai@3.0.84", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cmgbeJL0bbY0yTJH4/AdmP5E7MjWRL9G8UdhIi0JlV/So03o82ORJofW8OzwCZPTORVQblFbpZXYGDcUd9NdUQ=="],
"ansi-align/string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
@@ -8060,8 +8045,6 @@
"@vitest/expect/@vitest/utils/@vitest/pretty-format": ["@vitest/pretty-format@3.2.4", "", { "dependencies": { "tinyrainbow": "^2.0.0" } }, "sha512-IVNZik8IVRJRTr9fxlitMKeJeXFFFN0JaB9PHPGQ8NKQbGpfjlTx9zO4RefN8gp7eqjNy8nyK3NZmBzOPeIxtA=="],
"ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
+4 -4
View File
@@ -1,8 +1,8 @@
{
"nodeModules": {
"x86_64-linux": "sha256-0kcwV34P2C3yKg2eG9W2nW+OedrSBb+1TdpuUeYtauY=",
"aarch64-linux": "sha256-yHVygApQchAB34wrtFR4GU0CkmZOlLsl3wsp15u0xzs=",
"aarch64-darwin": "sha256-DyalcwyK2Wn5R6249keFcNVECbgtjYNjscOFqTi88FI=",
"x86_64-darwin": "sha256-BkGw0GWN9W9q+/g4FYR0MqxUuFP80BPoERO+ypz/arQ="
"x86_64-linux": "sha256-qt11SKmOjq0KU542QFbs+u7YyJicn4drCcwCdg325yk=",
"aarch64-linux": "sha256-z68doReXTrWS7HeiAjc0btIjAsvzeZZ7hXAlHr0c77Q=",
"aarch64-darwin": "sha256-PILYH1Pi8XBvSkuZ+1sNnUTao5kba+m5Z8iJKx6YXPo=",
"x86_64-darwin": "sha256-KpcJzP4m0SUavu/WaSffgzOxrHq8ljdy0GOzs9p16lo="
}
}
+1 -1
View File
@@ -155,12 +155,12 @@
"@types/node": "catalog:"
},
"patchedDependencies": {
"@ff-labs/fff-bun@0.9.3": "patches/@ff-labs%2Ffff-bun@0.9.3.patch",
"@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
"@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
"@standard-community/standard-openapi@0.2.9": "patches/@standard-community%2Fstandard-openapi@0.2.9.patch",
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
"@ai-sdk/xai@3.0.102": "patches/@ai-sdk%2Fxai@3.0.102.patch",
"@ai-sdk/mistral@3.0.51": "patches/@ai-sdk%2Fmistral@3.0.51.patch",
"gcp-metadata@8.1.2": "patches/gcp-metadata@8.1.2.patch",
"pacote@21.5.0": "patches/pacote@21.5.0.patch",
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
+5 -6
View File
@@ -54,7 +54,7 @@ Filter or narrow `LLMEvent` streams with `LLMEvent.is.*` (camelCase guards, e.g.
A route is the registered, 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`.
- **`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`, `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`)`).
- **`Auth`** (`src/route/auth.ts`) — per-request transport authentication. Provider facades configure credentials onto the route before model selection, usually via `Auth.bearer(apiKey)` or `Auth.header(name, apiKey)`. Routes that need per-request signing (Bedrock SigV4, future Vertex IAM, Azure AAD) implement `Auth` as a function that signs the body and merges signed headers into the result.
- **`Framing`** (`src/route/framing.ts`) — bytes → frames. SSE (`Framing.sse`) is shared; Bedrock keeps its AWS event-stream framing as a typed `Framing<object>` value alongside its protocol.
@@ -158,14 +158,13 @@ packages/ai/src/
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
openai-responses.ts OpenAI tools/events/transports composed over OpenResponses
openai-responses.ts
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
openai-compatible-responses.ts route that reuses OpenAIResponses.protocol, no canonical URL
utils/ per-protocol helpers (auth, cache, media, tool-stream, ...)
providers/
openai-compatible.ts generic Chat helper + family model helpers
@@ -176,7 +175,7 @@ packages/ai/src/
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.
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.
### Shared protocol helpers
@@ -241,7 +240,7 @@ const get_weather = tool({
const tools = { get_weather, get_time, ... }
const events = yield* LLM.stream(
LLMRequest.update(request, { tools: Tool.toDefinitions(tools) }),
LLM.updateRequest(request, { tools: Tool.toDefinitions(tools) }),
).pipe(Stream.runCollect)
const call = Array.from(events).find(LLMEvent.is.toolCall)
+2 -3
View File
@@ -315,8 +315,7 @@ const longer = {
}
```
There is no `LLM.updateRequest(...)` helper. The current Schema-backed implementation
uses `LLMRequest.update(...)` when canonical request data must be derived.
There is no `LLM.updateRequest(...)` helper and no request Schema class.
### Conversation history
@@ -437,7 +436,7 @@ const call = Array.from(events).find(LLMEvent.is.toolCall)
if (call && !call.providerExecuted) {
const dispatched = yield * ToolRuntime.dispatch(tools, call)
const followUp = LLMRequest.update(request, {
const followUp = LLM.updateRequest(request, {
messages: [...request.messages, Message.assistant([call]), Message.tool({ ...call, result: dispatched.result })],
})
// Caller must invoke the provider again and repeat the loop.
+1 -1
View File
@@ -300,7 +300,7 @@ OpenAI Chat and OpenAI Responses are separate semantic entrypoints:
- `@opencode-ai/ai/providers/google-vertex/responses`
- `@opencode-ai/ai/providers/google-vertex/messages`
Responses HTTP versus WebSocket is a scoped `transport` setting on the OpenAI Responses entrypoint, not another entrypoint. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; the Responses adapter at `providers/openai-compatible/responses` uses the provider-neutral Open Responses protocol. OpenAI Responses extends that baseline with OpenAI tools, event variants, metadata, defaults, and transports. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.
Responses HTTP versus WebSocket is a scoped `transport` setting on the OpenAI Responses entrypoint, not another entrypoint. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; compatible Responses is separate at `providers/openai-compatible/responses`. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.
Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages are separate API entrypoints. All accept `project`, `location`, and an optional `accessToken`; when no explicit token or auth override is supplied they lazily use Google Application Default Credentials. Vertex Gemini instead selects express mode when `apiKey` or `GOOGLE_VERTEX_API_KEY` is present. Vertex Chat targets MaaS models through the OpenAI-compatible Chat Completions endpoint, while Vertex Responses targets Grok models and defaults `store` to `false` as required by Vertex. `providers/google-vertex` remains the default alias for `providers/google-vertex/gemini`.
+24 -24
View File
@@ -1,6 +1,6 @@
# LLM Provider Parity Status
Last reviewed: 2026-07-24
Last reviewed: 2026-07-17
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.
@@ -13,26 +13,26 @@ This file tracks the gap between the native `@opencode-ai/ai` package and the AI
## 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 HTTP | `src/protocols/open-responses.ts`, `src/protocols/openai-responses.ts`, `src/providers/openai.ts` | Usable. Extends the Open Responses baseline with hosted-tool event surfacing, reasoning replay metadata, GPT-5 defaults, and cache usage. | No explicit `previous_response_id` path. Typed options cover only a subset of Responses fields. Structured output is still mostly synthetic-tool based. |
| OpenAI Responses WebSocket | `src/protocols/openai-responses.ts`, `src/route/transport/websocket.ts` | Present as `OpenAI.responsesWebSocket(...)`. | Runner/catalog support explicitly must not downgrade WebSocket routes; broader runtime selection is not complete. |
| 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. |
| 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 HTTP | `src/protocols/openai-responses.ts`, `src/providers/openai.ts` | Usable. Supports hosted-tool event surfacing, reasoning replay metadata, GPT-5 defaults, and cache usage. | No explicit `previous_response_id` path. Typed options cover only a subset of Responses fields. Structured output is still mostly synthetic-tool based. |
| OpenAI Responses WebSocket | `src/protocols/openai-responses.ts`, `src/route/transport/websocket.ts` | Present as `OpenAI.responsesWebSocket(...)`. | Runner/catalog support explicitly must not downgrade WebSocket routes; broader runtime selection is not complete. |
| 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. |
| OpenAI-compatible Responses | `src/protocols/openai-compatible-responses.ts`, `src/providers/openai-compatible-responses.ts` | Usable for deployments that implement the OpenAI Responses wire protocol. | 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/openai-responses.ts`, `src/providers/google-vertex-responses.ts` | Usable for Grok models through OpenAI-compatible Responses with explicit OAuth tokens or ADC, project/location endpoint derivation, and storage disabled by 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
@@ -65,7 +65,7 @@ Other `aisdk:` packages, including Google Vertex, Azure, and Bedrock, currently
## 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.
2. OpenAI-compatible Responses is available as 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.
@@ -83,13 +83,13 @@ These are implementation/API slices, not separate npm packages.
| 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/WebSocket selected through settings. |
| 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`. |
| OpenAI-compatible Responses | `@opencode-ai/ai/providers/openai-compatible/responses` | Generic OpenAI-compatible `/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 Responses | `@opencode-ai/ai/providers/google-vertex/responses` | Vertex OpenAI-compatible 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 | Missing | AWS Bedrock Mantle OpenAI-compatible APIs. |
+4 -7
View File
@@ -1,5 +1,5 @@
import { Config, Effect, Formatter, Layer, Schema, Stream } from "effect"
import { LLM, LLMClient, LLMRequest, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/ai"
import { LLM, LLMClient, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/ai"
import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor, WebSocketExecutor } from "@opencode-ai/ai/route"
import { OpenAI } from "@opencode-ai/ai/providers"
@@ -78,10 +78,7 @@ const streamText = LLM.stream(request).pipe(
Stream.tap((event) =>
Effect.sync(() => {
if (event.type === "text-delta") process.stdout.write(`\ntext: ${event.text}`)
if (event.type === "finish")
process.stdout.write(
`\nfinish: ${event.reason.normalized}${event.reason.raw ? ` (${event.reason.raw})` : ""}\n`,
)
if (event.type === "finish") process.stdout.write(`\nfinish: ${event.reason}\n`)
}),
),
Stream.runDrain,
@@ -116,7 +113,7 @@ const streamWithTools = Effect.gen(function* () {
// A durable agent would persist these messages before starting another
// raw model turn. This tutorial keeps the boundary visible instead.
const followUp = LLMRequest.update(request, {
const followUp = LLM.updateRequest(request, {
messages: [
...request.messages,
Message.assistant([event]),
@@ -197,7 +194,7 @@ const FakeProtocol = Protocol.make<FakeBody, string, string, void>({
event: Schema.String,
initial: () => undefined,
step: (_, frame) => Effect.succeed([undefined, [{ type: "text-delta", id: "text-0", text: frame }]] as const),
onHalt: () => [{ type: "finish", reason: { normalized: "stop" } }],
onHalt: () => [{ type: "finish", reason: "stop" }],
},
})
+21 -3
View File
@@ -9,13 +9,24 @@ import {
LLMRequest,
LLMResponse,
Message,
type ModelInput as SchemaModelInput,
SystemPart,
ToolChoice,
ToolDefinition,
type ContentPart,
ToolResultPart,
} from "./schema"
import { make as makeTool, toDefinitions, type ToolSchema } from "./tool"
export type ModelInput = SchemaModelInput
export type MessageInput = Message.Input
export type ToolChoiceInput = ToolChoice.Input
export type ToolChoiceMode = ToolChoice.Mode
export type ToolResultInput = Parameters<typeof ToolResultPart.make>[0]
/** Input accepted by `LLM.request`, normalized into the canonical `LLMRequest` class. */
export type RequestInput = Omit<
ConstructorParameters<typeof LLMRequest>[0],
@@ -23,9 +34,9 @@ export type RequestInput = Omit<
> & {
readonly system?: string | SystemPart | ReadonlyArray<SystemPart>
readonly prompt?: string | ContentPart | ReadonlyArray<ContentPart>
readonly messages?: ReadonlyArray<Message | Message.Input>
readonly messages?: ReadonlyArray<Message | MessageInput>
readonly tools?: ReadonlyArray<ToolDefinition.Input>
readonly toolChoice?: ToolChoice.Input
readonly toolChoice?: ToolChoiceInput
readonly generation?: GenerationOptions.Input
readonly providerOptions?: ConstructorParameters<typeof LLMRequest>[0]["providerOptions"]
readonly http?: HttpOptions.Input
@@ -35,6 +46,10 @@ export const generate = LLMClient.generate
export const stream = LLMClient.stream
export const requestInput = (input: LLMRequest): RequestInput => ({
...LLMRequest.input(input),
})
export const request = (input: RequestInput) => {
const {
system: requestSystem,
@@ -59,11 +74,14 @@ export const request = (input: RequestInput) => {
})
}
export const updateRequest = (input: LLMRequest, patch: Partial<RequestInput>) =>
request({ ...requestInput(input), ...patch })
const GENERATE_OBJECT_TOOL_NAME = "generate_object"
const GENERATE_OBJECT_TOOL_DESCRIPTION = "Return the structured result by calling this tool."
type GenerateObjectBase = Omit<RequestInput, "tools" | "toolChoice">
type GenerateObjectBase = Omit<RequestInput, "tools" | "toolChoice" | "responseFormat">
export class GenerateObjectResponse<T> {
constructor(
+34 -112
View File
@@ -13,7 +13,6 @@ import {
type JsonSchema,
type LLMRequest,
type MediaPart,
type ProviderOptions,
type ProviderMetadata,
type ToolCallPart,
type ToolDefinition,
@@ -32,29 +31,6 @@ const MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderS
export const DEFAULT_BASE_URL = "https://api.anthropic.com/v1"
export const PATH = "/messages"
export type ThinkingInput =
| {
readonly type: "adaptive"
readonly display?: "summarized" | "omitted"
}
| {
readonly type: "disabled"
}
| ({ readonly type: "enabled" } & (
| { readonly budgetTokens: number; readonly budget_tokens?: number }
| { readonly budgetTokens?: number; readonly budget_tokens: number }
))
export interface OptionsInput {
readonly [key: string]: unknown
readonly thinking?: ThinkingInput
readonly effort?: string
}
export type ProviderOptionsInput = ProviderOptions & {
readonly anthropic?: OptionsInput
}
// =============================================================================
// Request Body Schema
// =============================================================================
@@ -99,15 +75,6 @@ const AnthropicThinkingBlock = Schema.Struct({
cache_control: Schema.optional(AnthropicCacheControl),
})
// Safety-filtered thinking arrives as an opaque encrypted `data` payload with
// no visible text. It must round-trip verbatim so multi-turn thinking + tool
// use conversations keep their reasoning continuity.
const AnthropicRedactedThinkingBlock = Schema.Struct({
type: Schema.tag("redacted_thinking"),
data: Schema.String,
cache_control: Schema.optional(AnthropicCacheControl),
})
const AnthropicToolUseBlock = Schema.Struct({
type: Schema.tag("tool_use"),
id: Schema.String,
@@ -169,7 +136,6 @@ type AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>
const AnthropicAssistantBlock = Schema.Union([
AnthropicTextBlock,
AnthropicThinkingBlock,
AnthropicRedactedThinkingBlock,
AnthropicToolUseBlock,
AnthropicServerToolUseBlock,
AnthropicServerToolResultBlock,
@@ -193,7 +159,7 @@ const AnthropicTool = Schema.Struct({
type AnthropicTool = Schema.Schema.Type<typeof AnthropicTool>
const AnthropicToolChoice = Schema.Union([
Schema.Struct({ type: Schema.Literals(["auto", "any", "none"]) }),
Schema.Struct({ type: Schema.Literals(["auto", "any"]) }),
Schema.Struct({ type: Schema.tag("tool"), name: Schema.String }),
])
@@ -248,9 +214,6 @@ const AnthropicStreamBlock = Schema.Struct({
text: Schema.optional(Schema.String),
thinking: Schema.optional(Schema.String),
signature: Schema.optional(Schema.String),
// redacted_thinking blocks arrive whole in content_block_start with the
// encrypted payload in `data`; there is no streaming delta sequence.
data: Schema.optional(Schema.String),
input: Schema.optional(Schema.Unknown),
// *_tool_result blocks arrive whole as content_block_start (no streaming
// delta) with the structured payload in `content` and the originating
@@ -324,12 +287,6 @@ const signatureFromMetadata = (metadata: ProviderMetadata | undefined): string |
return typeof anthropic.signature === "string" ? anthropic.signature : undefined
}
const redactedDataFromMetadata = (metadata: ProviderMetadata | undefined): string | undefined => {
const anthropic = metadata?.anthropic
if (!ProviderShared.isRecord(anthropic)) return undefined
return typeof anthropic.redactedData === "string" ? anthropic.redactedData : undefined
}
const lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition, inputSchema: JsonSchema): AnthropicTool => ({
name: tool.name,
description: tool.description,
@@ -340,7 +297,7 @@ const lowerTool = (breakpoints: Cache.Breakpoints, tool: ToolDefinition, inputSc
const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
ProviderShared.matchToolChoice("Anthropic Messages", toolChoice, {
auto: () => ({ type: "auto" as const }),
none: () => ({ type: "none" as const }),
none: () => undefined,
required: () => ({ type: "any" as const }),
tool: (name) => ({ type: "tool" as const, name }),
})
@@ -373,10 +330,7 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
const wireType = serverToolResultType(part.name)
if (!wireType)
return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)
// Prefer the provider-owned replay payload; fall back to the result value for
// histories constructed directly from provider events.
const payload = part.providerMetadata?.anthropic?.["result"] ?? part.result.value
return { type: wireType, tool_use_id: part.id, content: payload } satisfies AnthropicServerToolResultBlock
return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock
})
const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (part: MediaPart) {
@@ -515,16 +469,11 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
continue
}
if (part.type === "reasoning") {
// Mirrors Vercel's @ai-sdk/anthropic: a signature marks visible
// thinking; only signature-less parts carrying redactedData
// round-trip as opaque redacted_thinking blocks.
const signature = part.encrypted ?? signatureFromMetadata(part.providerMetadata)
const redactedData = redactedDataFromMetadata(part.providerMetadata)
if (signature === undefined && redactedData !== undefined) {
content.push({ type: "redacted_thinking", data: redactedData })
continue
}
content.push({ type: "thinking", thinking: part.text, signature })
content.push({
type: "thinking",
thinking: part.text,
signature: part.encrypted ?? signatureFromMetadata(part.providerMetadata),
})
continue
}
if (part.type === "tool-call") {
@@ -561,39 +510,39 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
return messages
})
const resolveOptions = Effect.fn("AnthropicMessages.resolveOptions")(function* (request: LLMRequest) {
const input = request.providerOptions?.anthropic
return {
thinking: yield* resolveThinking(input?.thinking),
effort: typeof input?.effort === "string" ? input.effort : undefined,
}
})
const anthropicOptions = (request: LLMRequest) => request.providerOptions?.anthropic
const resolveThinking = Effect.fn("AnthropicMessages.resolveThinking")(function* (input: unknown) {
if (!ProviderShared.isRecord(input)) return undefined
if (input.type === "adaptive") {
const lowerThinking = Effect.fn("AnthropicMessages.lowerThinking")(function* (request: LLMRequest) {
const thinking = anthropicOptions(request)?.thinking
if (!ProviderShared.isRecord(thinking)) return undefined
if (thinking.type === "adaptive") {
const display =
input.display === "summarized"
thinking.display === "summarized"
? ("summarized" as const)
: input.display === "omitted"
: thinking.display === "omitted"
? ("omitted" as const)
: undefined
return { type: "adaptive" as const, ...(display === undefined ? {} : { display }) }
}
if (input.type === "disabled") return { type: "disabled" as const }
if (input.type !== "enabled") return undefined
if (thinking.type === "disabled") return { type: "disabled" as const }
if (thinking.type !== "enabled") return undefined
const budget =
typeof input.budgetTokens === "number"
? input.budgetTokens
: typeof input.budget_tokens === "number"
? input.budget_tokens
typeof thinking.budgetTokens === "number"
? thinking.budgetTokens
: typeof thinking.budget_tokens === "number"
? thinking.budget_tokens
: undefined
if (budget === undefined)
return yield* ProviderShared.invalidRequest("Anthropic thinking provider option requires budgetTokens")
if (budget === undefined) return yield* invalid("Anthropic thinking provider option requires budgetTokens")
return { type: "enabled" as const, budget_tokens: budget }
})
const outputConfig = (request: LLMRequest) => {
const effort = anthropicOptions(request)?.effort
return typeof effort === "string" ? { effort } : undefined
}
const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (request: LLMRequest) {
const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined
const generation = request.generation
const toolSchemaCompatibility = request.model.compatibility?.toolSchema
const outputLimit = request.model.defaults?.limits?.output ?? request.model.route.defaults.limits?.output ?? 4096
@@ -602,7 +551,7 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
// over-mark we keep their tool hints and shed the message-tail ones first.
const breakpoints = Cache.newBreakpoints(ANTHROPIC_BREAKPOINT_CAP)
const tools =
request.tools.length === 0
request.tools.length === 0 || request.toolChoice?.type === "none"
? undefined
: request.tools.map((tool) =>
lowerTool(
@@ -611,8 +560,6 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),
),
)
// Anthropic rejects tool_choice when tools are absent; "none" is only meaningful with tools present.
const toolChoice = tools === undefined || !request.toolChoice ? undefined : yield* lowerToolChoice(request.toolChoice)
const system =
request.system.length === 0
? undefined
@@ -627,7 +574,6 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
`Anthropic Messages: dropped ${breakpoints.dropped} cache breakpoint(s); the API allows at most ${ANTHROPIC_BREAKPOINT_CAP} per request.`,
)
}
const options = yield* resolveOptions(request)
return {
model: request.model.id,
system,
@@ -640,8 +586,8 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
top_p: generation?.topP,
top_k: generation?.topK,
stop_sequences: generation?.stop,
thinking: options.thinking,
output_config: options.effort === undefined ? undefined : { effort: options.effort },
thinking: yield* lowerThinking(request),
output_config: outputConfig(request),
}
})
@@ -650,7 +596,7 @@ const fromRequest = Effect.fn("AnthropicMessages.fromRequest")(function* (reques
// =============================================================================
const mapFinishReason = (reason: string | null | undefined): FinishReason => {
if (reason === "end_turn" || reason === "stop_sequence" || reason === "pause_turn") return "stop"
if (reason === "max_tokens" || reason === "model_context_window_exceeded") return "length"
if (reason === "max_tokens") return "length"
if (reason === "tool_use") return "tool-calls"
if (reason === "refusal") return "content-filter"
return "unknown"
@@ -734,9 +680,7 @@ const serverToolResultEvent = (block: NonNullable<AnthropicEvent["content_block"
name: SERVER_TOOL_RESULT_NAMES[block.type],
result: isError ? { type: "error", value: block.content } : { type: "json", value: block.content },
providerExecuted: true,
// The complete payload is irreducible provider replay state: subsequent
// stateless requests must round-trip the typed result block verbatim.
providerMetadata: anthropicMetadata({ blockType: block.type, result: block.content }),
providerMetadata: anthropicMetadata({ blockType: block.type }),
})
}
@@ -796,25 +740,6 @@ const onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepRes
]
}
// Redacted thinking surfaces as an empty reasoning part carrying the opaque
// payload as `redactedData` metadata (same model as Vercel's
// @ai-sdk/anthropic). The existing content_block_stop closes the part.
if (block.type === "redacted_thinking" && block.data) {
const events: LLMEvent[] = []
return [
{
...state,
lifecycle: Lifecycle.reasoningStart(
state.lifecycle,
events,
`reasoning-${event.index ?? 0}`,
anthropicMetadata({ redactedData: block.data }),
),
},
events,
]
}
const result = serverToolResultEvent(block)
if (!result) return [state, NO_EVENTS]
const events: LLMEvent[] = []
@@ -904,10 +829,7 @@ const onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult =
const usage = mergeUsage(state.usage, mapUsage(event.usage))
const events: LLMEvent[] = []
const lifecycle = Lifecycle.finish(state.lifecycle, events, {
reason: {
normalized: mapFinishReason(event.delta?.stop_reason),
raw: event.delta?.stop_reason ?? undefined,
},
reason: mapFinishReason(event.delta?.stop_reason),
usage,
providerMetadata: event.delta?.stop_sequence
? anthropicMetadata({ stopSequence: event.delta.stop_sequence })
+28 -90
View File
@@ -8,7 +8,6 @@ import {
Usage,
type CacheHint,
type FinishReason,
type FinishReasonDetails,
type JsonSchema,
type LLMRequest,
type ModelToolSchemaCompatibility,
@@ -66,15 +65,14 @@ const BedrockToolResultBlock = Schema.Struct({
type BedrockToolResultBlock = Schema.Schema.Type<typeof BedrockToolResultBlock>
const BedrockReasoningBlock = Schema.Struct({
reasoningContent: Schema.Union([
Schema.Struct({
reasoningText: Schema.Struct({
reasoningContent: Schema.Struct({
reasoningText: Schema.optional(
Schema.Struct({
text: Schema.String,
signature: Schema.optional(Schema.String),
}),
}),
Schema.Struct({ redactedContent: Schema.String }),
]),
),
}),
})
const BedrockUserBlock = Schema.Union([
@@ -155,12 +153,6 @@ const BedrockUsageSchema = Schema.Struct({
})
type BedrockUsageSchema = Schema.Schema.Type<typeof BedrockUsageSchema>
const BedrockStreamException = Schema.Struct({
message: Schema.optional(Schema.String),
originalMessage: Schema.optional(Schema.String),
originalStatusCode: Schema.optional(Schema.Number),
})
// Streaming event shape — the AWS event stream wraps each JSON payload by its
// `:event-type` header (e.g. `messageStart`, `contentBlockDelta`). We
// reconstruct that wrapping in `decodeFrames` below so the event schema can
@@ -188,11 +180,6 @@ const BedrockEvent = Schema.Struct({
Schema.Struct({
text: Schema.optional(Schema.String),
signature: Schema.optional(Schema.String),
// Blob fields in Bedrock's JSON event stream are base64 strings.
redactedContent: Schema.optional(Schema.String),
// Vercel's Bedrock provider exposes the same delta under
// Anthropic's shorter `data` spelling.
data: Schema.optional(Schema.String),
}),
),
}),
@@ -212,11 +199,11 @@ const BedrockEvent = Schema.Struct({
metrics: Schema.optional(Schema.Unknown),
}),
),
internalServerException: Schema.optional(BedrockStreamException),
modelStreamErrorException: Schema.optional(BedrockStreamException),
validationException: Schema.optional(BedrockStreamException),
throttlingException: Schema.optional(BedrockStreamException),
serviceUnavailableException: Schema.optional(BedrockStreamException),
internalServerException: Schema.optional(Schema.Struct({ message: Schema.String })),
modelStreamErrorException: Schema.optional(Schema.Struct({ message: Schema.String })),
validationException: Schema.optional(Schema.Struct({ message: Schema.String })),
throttlingException: Schema.optional(Schema.Struct({ message: Schema.String })),
serviceUnavailableException: Schema.optional(Schema.Struct({ message: Schema.String })),
})
type BedrockEvent = Schema.Schema.Type<typeof BedrockEvent>
@@ -272,13 +259,6 @@ const reasoningSignature = (part: ReasoningPart) => {
)
}
const reasoningRedactedData = (part: ReasoningPart) => {
const bedrock = part.providerMetadata?.bedrock
return ProviderShared.isRecord(bedrock) && typeof bedrock.redactedData === "string"
? bedrock.redactedData
: undefined
}
const lowerToolCall = (part: ToolCallPart): BedrockToolUseBlock => ({
toolUse: {
toolUseId: part.id,
@@ -368,13 +348,11 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
continue
}
if (part.type === "reasoning") {
const signature = reasoningSignature(part)
const redactedData = reasoningRedactedData(part)
if (signature === undefined && redactedData !== undefined) {
content.push({ reasoningContent: { redactedContent: redactedData } })
continue
}
content.push({ reasoningContent: { reasoningText: { text: part.text, signature } } })
content.push({
reasoningContent: {
reasoningText: { text: part.text, signature: reasoningSignature(part) },
},
})
continue
}
if (part.type === "tool-call") {
@@ -414,13 +392,8 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
// tools → system → messages order to favour the highest-impact prefixes.
const breakpoints = BedrockCache.breakpoints()
const toolConfig =
request.tools.length > 0
? {
tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools),
// Converse has no native "none". Keep definitions stable for prompt
// caching and omit only the unsupported choice.
toolChoice,
}
request.tools.length > 0 && request.toolChoice?.type !== "none"
? { tools: lowerTools(request.model.compatibility?.toolSchema, breakpoints, request.tools), toolChoice }
: undefined
const system = request.system.length === 0 ? undefined : lowerSystem(breakpoints, request.system)
const messages = yield* lowerMessages(request, breakpoints)
@@ -457,10 +430,9 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
// =============================================================================
const mapFinishReason = (reason: string): FinishReason => {
if (reason === "end_turn" || reason === "stop_sequence") return "stop"
if (reason === "max_tokens" || reason === "model_context_window_exceeded") return "length"
if (reason === "max_tokens") return "length"
if (reason === "tool_use") return "tool-calls"
if (reason === "content_filtered" || reason === "guardrail_intervened") return "content-filter"
if (reason === "malformed_model_output" || reason === "malformed_tool_use") return "error"
return "unknown"
}
@@ -489,7 +461,7 @@ interface ParserState {
// Bedrock splits the finish into `messageStop` (carries `stopReason`) and
// `metadata` (carries usage). Hold the terminal event in state so `onHalt`
// can emit exactly one finish after both chunks have had a chance to arrive.
readonly pendingFinish: { readonly reason: FinishReasonDetails; readonly usage?: Usage } | undefined
readonly pendingFinish: { readonly reason: FinishReason; readonly usage?: Usage } | undefined
readonly hasToolCalls: boolean
readonly lifecycle: Lifecycle.State
readonly reasoningSignatures: Readonly<Record<number, string>>
@@ -540,26 +512,12 @@ const step = (state: ParserState, event: BedrockEvent) =>
const index = event.contentBlockDelta.contentBlockIndex
const reasoning = event.contentBlockDelta.delta.reasoningContent
const events: LLMEvent[] = []
const redactedData = reasoning.redactedContent ?? reasoning.data
const providerMetadata = reasoning.signature
? bedrockMetadata({ signature: reasoning.signature })
: redactedData !== undefined
? bedrockMetadata({ redactedData })
: undefined
const lifecycle =
reasoning.text !== undefined || providerMetadata !== undefined
? Lifecycle.reasoningDelta(
state.lifecycle,
events,
`reasoning-${index}`,
reasoning.text ?? "",
providerMetadata,
)
: state.lifecycle
return [
{
...state,
lifecycle,
lifecycle: reasoning.text
? Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text)
: state.lifecycle,
reasoningSignatures: reasoning.signature
? { ...state.reasoningSignatures, [index]: reasoning.signature }
: state.reasoningSignatures,
@@ -620,30 +578,15 @@ const step = (state: ParserState, event: BedrockEvent) =>
return [
{
...state,
pendingFinish: {
reason: {
normalized: mapFinishReason(event.messageStop.stopReason),
raw: event.messageStop.stopReason,
},
usage: state.pendingFinish?.usage,
},
pendingFinish: { reason: mapFinishReason(event.messageStop.stopReason), usage: state.pendingFinish?.usage },
},
[],
] as const
}
if (event.metadata) {
const usage = mapUsage(event.metadata.usage) ?? state.pendingFinish?.usage
return [
{
...state,
pendingFinish: {
reason: state.pendingFinish?.reason ?? { normalized: "stop" },
usage,
},
},
[],
] as const
const usage = mapUsage(event.metadata.usage)
return [{ ...state, pendingFinish: { reason: state.pendingFinish?.reason ?? "stop", usage } }, []] as const
}
const exception = (
@@ -660,7 +603,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
module: ADAPTER,
method: "stream",
reason: classifyProviderFailure({
message: exception[1]?.message ?? exception[1]?.originalMessage ?? "Bedrock Converse stream error",
message: exception[1]?.message ?? "Bedrock Converse stream error",
code: exception[0],
}),
})
@@ -676,13 +619,8 @@ const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>
? (() => {
const events: LLMEvent[] = []
Lifecycle.finish(state.lifecycle, events, {
reason: {
...state.pendingFinish.reason,
normalized:
state.pendingFinish.reason.normalized === "stop" && state.hasToolCalls
? "tool-calls"
: state.pendingFinish.reason.normalized,
},
reason:
state.pendingFinish.reason === "stop" && state.hasToolCalls ? "tool-calls" : state.pendingFinish.reason,
usage: state.pendingFinish.usage,
})
return events
@@ -53,22 +53,8 @@ const consumeFrames = (route: string) => (state: FrameBufferState, chunk: Uint8A
})
cursor = { buffer: cursor.buffer, offset: cursor.offset + totalLength }
const messageType = decoded.headers[":message-type"]?.value
if (messageType === "error") {
const code = decoded.headers[":error-code"]?.value
const message = decoded.headers[":error-message"]?.value
return yield* ProviderShared.eventError(
route,
[code, message].filter((value): value is string => typeof value === "string").join(": ") ||
"Bedrock Converse event-stream error",
)
}
const eventType =
messageType === "event"
? decoded.headers[":event-type"]?.value
: messageType === "exception"
? decoded.headers[":exception-type"]?.value
: undefined
if (decoded.headers[":message-type"]?.value !== "event") continue
const eventType = decoded.headers[":event-type"]?.value
if (typeof eventType !== "string") continue
const payload = utf8.decode(decoded.body)
if (!payload) continue
+15 -46
View File
@@ -11,7 +11,6 @@ import {
type JsonSchema,
type LLMRequest,
type MediaPart,
type ProviderOptions,
type ProviderMetadata,
type TextPart,
type ToolCallPart,
@@ -27,18 +26,6 @@ const ADAPTER = "gemini"
const MEDIA_MIMES = new Set<string>(ProviderShared.MEDIA_MIMES)
export const DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
export interface OptionsInput {
readonly [key: string]: unknown
readonly thinkingConfig?: {
readonly thinkingBudget?: number
readonly includeThoughts?: boolean
}
}
export type ProviderOptionsInput = ProviderOptions & {
readonly gemini?: OptionsInput
}
// =============================================================================
// Request Body Schema
// =============================================================================
@@ -216,9 +203,7 @@ const thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {
const functionCallId = (providerMetadata: ProviderMetadata | undefined) => {
const google = providerMetadata?.google
return ProviderShared.isRecord(google) && typeof google.functionCallId === "string"
? google.functionCallId
: undefined
return ProviderShared.isRecord(google) && typeof google.functionCallId === "string" ? google.functionCallId : undefined
}
const lowerToolCall = (part: ToolCallPart) => ({
@@ -315,22 +300,21 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
return contents
})
const resolveOptions = (request: LLMRequest) => {
const value = request.providerOptions?.gemini?.thinkingConfig
if (!ProviderShared.isRecord(value)) return {}
const thinkingConfig = {
const geminiOptions = (request: LLMRequest) => request.providerOptions?.gemini
const thinkingConfig = (request: LLMRequest) => {
const value = geminiOptions(request)?.thinkingConfig
if (!ProviderShared.isRecord(value)) return undefined
const result = {
thinkingBudget: typeof value.thinkingBudget === "number" ? value.thinkingBudget : undefined,
includeThoughts: typeof value.includeThoughts === "boolean" ? value.includeThoughts : undefined,
}
return {
thinkingConfig: Object.values(thinkingConfig).some((item) => item !== undefined) ? thinkingConfig : undefined,
}
return Object.values(result).some((item) => item !== undefined) ? result : undefined
}
const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMRequest) {
const hasTools = request.tools.length > 0
const toolsEnabled = request.tools.length > 0 && request.toolChoice?.type !== "none"
const generation = request.generation
const options = resolveOptions(request)
const toolSchemaCompatibility = request.model.compatibility?.toolSchema
const generationConfig = {
maxOutputTokens: generation?.maxTokens,
@@ -338,14 +322,14 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
topP: generation?.topP,
topK: generation?.topK,
stopSequences: generation?.stop,
thinkingConfig: options.thinkingConfig,
thinkingConfig: thinkingConfig(request),
}
return {
contents: yield* lowerMessages(request),
systemInstruction:
request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },
tools: hasTools
tools: toolsEnabled
? [
{
functionDeclarations: request.tools.map((tool) =>
@@ -354,7 +338,7 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
},
]
: undefined,
toolConfig: hasTools && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,
toolConfig: toolsEnabled && request.toolChoice ? yield* lowerToolConfig(request.toolChoice) : undefined,
generationConfig: Object.values(generationConfig).some((value) => value !== undefined)
? generationConfig
: undefined,
@@ -398,22 +382,10 @@ const mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean
finishReason === "SAFETY" ||
finishReason === "BLOCKLIST" ||
finishReason === "PROHIBITED_CONTENT" ||
finishReason === "SPII" ||
finishReason === "MODEL_ARMOR" ||
finishReason === "IMAGE_PROHIBITED_CONTENT" ||
finishReason === "IMAGE_RECITATION" ||
finishReason === "LANGUAGE"
finishReason === "SPII"
)
return "content-filter"
if (
finishReason === "MALFORMED_FUNCTION_CALL" ||
finishReason === "UNEXPECTED_TOOL_CALL" ||
finishReason === "NO_IMAGE" ||
finishReason === "TOO_MANY_TOOL_CALLS" ||
finishReason === "MISSING_THOUGHT_SIGNATURE" ||
finishReason === "MALFORMED_RESPONSE"
)
return "error"
if (finishReason === "MALFORMED_FUNCTION_CALL") return "error"
return "unknown"
}
@@ -430,10 +402,7 @@ const finish = (state: ParserState): ReadonlyArray<LLMEvent> =>
)
: state.lifecycle
Lifecycle.finish(lifecycle, events, {
reason: {
normalized: mapFinishReason(state.finishReason, state.hasToolCalls),
raw: state.finishReason,
},
reason: mapFinishReason(state.finishReason, state.hasToolCalls),
usage: state.usage,
})
return events
-1
View File
@@ -6,4 +6,3 @@ export * as OpenAIImages from "./openai-images"
export * as OpenAICompatibleChat from "./openai-compatible-chat"
export * as OpenAICompatibleResponses from "./openai-compatible-responses"
export * as OpenAIResponses from "./openai-responses"
export * as OpenResponses from "./open-responses"
-949
View File
@@ -1,949 +0,0 @@
import { Effect, Schema } from "effect"
import { HttpTransport } from "../route/transport"
import { Protocol } from "../route/protocol"
import {
LLMError,
LLMEvent,
Usage,
type FinishReason,
type JsonSchema,
type LLMRequest,
type MediaPart,
type ProviderMetadata,
type ReasoningPart,
type TextPart,
type ToolCallPart,
type ToolDefinition,
type ToolContent,
type ToolResultPart,
} from "../schema"
import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared"
import { classifyProviderFailure } from "../provider-error"
import { OpenResponsesOptions } from "./utils/open-responses-options"
import { Lifecycle } from "./utils/lifecycle"
import { ToolSchemaProjection } from "./utils/tool-schema"
import { ToolStream } from "./utils/tool-stream"
const ADAPTER = "open-responses"
const NAME = "Open Responses"
const MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])
export const PATH = "/responses"
// =============================================================================
// Request Body Schema
// =============================================================================
const OpenResponsesInputText = Schema.Struct({
type: Schema.tag("input_text"),
text: Schema.String,
})
const OpenResponsesInputImage = Schema.Struct({
type: Schema.tag("input_image"),
image_url: Schema.String,
})
const OpenResponsesInputFile = Schema.Struct({
type: Schema.tag("input_file"),
filename: Schema.String,
file_data: Schema.String,
mime_type: Schema.optional(Schema.String),
})
const MediaInput = Schema.Union([OpenResponsesInputImage, OpenResponsesInputFile])
export type MediaInput = Schema.Schema.Type<typeof MediaInput>
const OpenResponsesInputContent = Schema.Union([OpenResponsesInputText, MediaInput])
const OpenResponsesOutputText = Schema.Struct({
type: Schema.tag("output_text"),
text: Schema.String,
})
const OpenResponsesReasoningSummaryText = Schema.Struct({
type: Schema.tag("summary_text"),
text: Schema.String,
})
const OpenResponsesReasoningItem = Schema.Struct({
type: Schema.tag("reasoning"),
id: Schema.optionalKey(Schema.String),
summary: Schema.Array(OpenResponsesReasoningSummaryText),
encrypted_content: optionalNull(Schema.String),
})
const OpenResponsesItemReference = Schema.Struct({
type: Schema.tag("item_reference"),
id: Schema.String,
})
// `function_call_output.output` accepts either a plain string or an ordered
// array of content items so tools can return images and files in addition to text.
// https://www.openresponses.org/reference
const OpenResponsesFunctionCallOutputContent = Schema.Union([
OpenResponsesInputText,
OpenResponsesInputImage,
OpenResponsesInputFile,
])
const OpenResponsesFunctionCallOutput = Schema.Union([
Schema.String,
Schema.Array(OpenResponsesFunctionCallOutputContent),
])
const OpenResponsesInputItem = Schema.Union([
Schema.Struct({ role: Schema.tag("system"), content: Schema.String }),
Schema.Struct({ role: Schema.tag("user"), content: Schema.Array(OpenResponsesInputContent) }),
Schema.Struct({ role: Schema.tag("assistant"), content: Schema.Array(OpenResponsesOutputText) }),
OpenResponsesReasoningItem,
OpenResponsesItemReference,
Schema.Struct({
type: Schema.tag("function_call"),
call_id: Schema.String,
name: Schema.String,
arguments: Schema.String,
}),
Schema.Struct({
type: Schema.tag("function_call_output"),
call_id: Schema.String,
output: OpenResponsesFunctionCallOutput,
}),
])
type OpenResponsesInputItem = Schema.Schema.Type<typeof OpenResponsesInputItem>
// Mutable counterpart of the schema reasoning item so `lowerMessages` can fold
// multiple streamed summary parts into the same item before flushing.
type OpenResponsesReasoningInput = {
type: "reasoning"
id: string
summary: Array<{ type: "summary_text"; text: string }>
encrypted_content?: string | null
}
type OpenResponsesReasoningReplay = Omit<OpenResponsesReasoningInput, "id">
export const Tool = Schema.Struct({
type: Schema.tag("function"),
name: Schema.String,
description: Schema.String,
parameters: JsonObject,
strict: Schema.optional(Schema.Boolean),
})
export const ToolChoice = Schema.Union([
Schema.Literals(["auto", "none", "required"]),
Schema.Struct({ type: Schema.tag("function"), name: Schema.String }),
])
// Fields shared between the HTTP body and the WebSocket `response.create`
// message. The HTTP body adds `stream: true`; the WebSocket message adds
// `type: "response.create"`. Defining the shared shape once keeps the two
// transports in sync without a destructure-and-strip dance.
export const coreFields = {
model: Schema.String,
input: Schema.Array(OpenResponsesInputItem),
instructions: Schema.optional(Schema.String),
tools: optionalArray(Tool),
tool_choice: Schema.optional(ToolChoice),
store: Schema.optional(Schema.Boolean),
service_tier: Schema.optional(OpenResponsesOptions.ServiceTierSchema),
prompt_cache_key: Schema.optional(Schema.String),
include: optionalArray(OpenResponsesOptions.ResponseIncludableSchema),
reasoning: Schema.optional(
Schema.Struct({
effort: Schema.optional(OpenResponsesOptions.ReasoningEffort),
summary: Schema.optional(Schema.Literals(["auto", "concise", "detailed"])),
}),
),
text: Schema.optional(
Schema.Struct({
verbosity: Schema.optional(OpenResponsesOptions.TextVerbositySchema),
}),
),
max_output_tokens: Schema.optional(Schema.Number),
temperature: Schema.optional(Schema.Number),
top_p: Schema.optional(Schema.Number),
}
const OpenResponsesBody = Schema.Struct({
...coreFields,
stream: Schema.Literal(true),
})
export type OpenResponsesBody = Schema.Schema.Type<typeof OpenResponsesBody>
const OpenResponsesUsage = Schema.Struct({
input_tokens: Schema.optional(Schema.Number),
input_tokens_details: optionalNull(Schema.Struct({ cached_tokens: Schema.optional(Schema.Number) })),
output_tokens: Schema.optional(Schema.Number),
output_tokens_details: optionalNull(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) })),
total_tokens: Schema.optional(Schema.Number),
})
type OpenResponsesUsage = Schema.Schema.Type<typeof OpenResponsesUsage>
export const StreamItem = Schema.StructWithRest(
Schema.Struct({
type: Schema.String,
id: Schema.optional(Schema.String),
call_id: Schema.optional(Schema.String),
name: Schema.optional(Schema.String),
arguments: Schema.optional(Schema.String),
encrypted_content: optionalNull(Schema.String),
}),
[Schema.Record(Schema.String, Schema.Unknown)],
)
export type StreamItem = Schema.Schema.Type<typeof StreamItem>
// The Responses schema puts streaming error details at the top level and
// response failures under `response.error`. WebSocket failures use an
// event-level `error` envelope, so accept all three shapes here.
// https://www.openresponses.org/specification
const OpenResponsesErrorPayload = Schema.Struct({
code: optionalNull(Schema.String),
message: optionalNull(Schema.String),
param: optionalNull(Schema.String),
})
export const Event = Schema.StructWithRest(
Schema.Struct({
type: Schema.String,
delta: Schema.optional(Schema.String),
item_id: Schema.optional(Schema.String),
summary_index: Schema.optional(Schema.Number),
item: Schema.optional(StreamItem),
response: Schema.optional(
Schema.StructWithRest(
Schema.Struct({
id: Schema.optional(Schema.String),
service_tier: optionalNull(Schema.String),
incomplete_details: optionalNull(Schema.Struct({ reason: Schema.optional(Schema.String) })),
usage: optionalNull(OpenResponsesUsage),
error: optionalNull(OpenResponsesErrorPayload),
}),
[Schema.Record(Schema.String, Schema.Unknown)],
),
),
code: optionalNull(Schema.String),
message: Schema.optional(Schema.String),
param: optionalNull(Schema.String),
error: optionalNull(OpenResponsesErrorPayload),
}),
[Schema.Record(Schema.String, Schema.Unknown)],
)
export type Event = Schema.Schema.Type<typeof Event>
export interface Extension {
readonly id: string
readonly name: string
readonly lowerMedia?: (input: {
readonly part: MediaPart
readonly media: ProviderShared.ValidatedMedia
readonly request: LLMRequest
}) => MediaInput | undefined
}
const BASE: Extension = { id: ADAPTER, name: NAME }
export interface ParserState {
readonly id: string
readonly name: string
readonly providerMetadataKey: string
readonly tools: ToolStream.State<string>
readonly hasFunctionCall: boolean
readonly lifecycle: Lifecycle.State
readonly reasoningItems: Readonly<Record<string, ReasoningStreamItem>>
readonly store: boolean | undefined
}
type ReasoningSummaryStatus = "active" | "can-conclude" | "concluded"
interface ReasoningStreamItem {
readonly encryptedContent: string | null | undefined
// Keyed by the wire protocol's numeric `summary_index`. JS object keys coerce to
// strings, but typing the map as `Record<number, ...>` documents intent
// and matches the wire field.
readonly summaryParts: Readonly<Record<number, ReasoningSummaryStatus>>
}
// =============================================================================
// Request Lowering
// =============================================================================
export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (
protocolName: string,
tool: ToolDefinition,
inputSchema: JsonSchema,
) {
if (tool.native !== undefined)
return yield* ProviderShared.invalidRequest(`${protocolName} does not support provider-native tool ${tool.name}`)
return {
type: "function" as const,
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.
strict: false,
}
})
export const lowerToolChoice = (protocolName: string, toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
ProviderShared.matchToolChoice(protocolName, toolChoice, {
auto: () => "auto" as const,
none: () => "none" as const,
required: () => "required" as const,
tool: (toolName) => ({ type: "function" as const, name: toolName }),
})
const lowerToolCall = (part: ToolCallPart): OpenResponsesInputItem => ({
type: "function_call",
call_id: part.id,
name: part.name,
arguments: ProviderShared.encodeJson(part.input),
})
const lowerReasoning = (part: ReasoningPart, providerMetadataKey: string): OpenResponsesReasoningInput | undefined => {
const metadata = part.providerMetadata?.[providerMetadataKey]
if (!ProviderShared.isRecord(metadata) || typeof metadata.itemId !== "string" || metadata.itemId.length === 0)
return undefined
const encryptedContent =
typeof metadata.reasoningEncryptedContent === "string" || metadata.reasoningEncryptedContent === null
? metadata.reasoningEncryptedContent
: undefined
return {
type: "reasoning",
id: metadata.itemId,
summary: part.text.length > 0 ? [{ type: "summary_text", text: part.text }] : [],
encrypted_content: encryptedContent,
}
}
const hostedToolItemID = (part: ToolResultPart, providerMetadataKey: string) => {
const metadata = part.providerMetadata?.[providerMetadataKey]
return ProviderShared.isRecord(metadata) && typeof metadata.itemId === "string" && metadata.itemId.length > 0
? metadata.itemId
: undefined
}
const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
part: MediaPart,
request: LLMRequest,
extension: Extension,
) {
const media = yield* ProviderShared.validateMedia(extension.name, part, MEDIA_MIMES)
const extended = extension.lowerMedia?.({ part, media, request })
if (extended) return extended
if (media.mime === "application/pdf") {
return {
type: "input_file" as const,
filename: part.filename ?? "document.pdf",
file_data: media.dataUrl,
}
}
return { type: "input_image" as const, image_url: media.dataUrl }
})
const lowerUserContent = Effect.fn("OpenResponses.lowerUserContent")(function* (
part: LLMRequest["messages"][number]["content"][number],
request: LLMRequest,
extension: Extension,
) {
if (part.type === "text") return { type: "input_text" as const, text: part.text }
if (part.type === "media") return yield* lowerMedia(part, request, extension)
return yield* ProviderShared.unsupportedContent(extension.name, "user", ["text", "media"])
})
// Tool results may carry structured text, images, and files. Keep media as provider-native
// content instead of JSON-stringifying base64 into a prompt string.
const lowerToolResultContentItem = Effect.fn("OpenResponses.lowerToolResultContentItem")(function* (
item: ToolContent,
request: LLMRequest,
extension: Extension,
) {
if (item.type === "text") return { type: "input_text" as const, text: item.text }
return yield* lowerMedia(
{ type: "media", mediaType: item.mime, data: item.uri, filename: item.name },
request,
extension,
)
})
const lowerToolResultOutput = Effect.fn("OpenResponses.lowerToolResultOutput")(function* (
part: ToolResultPart,
request: LLMRequest,
extension: Extension,
) {
// Text/json/error results are encoded as a plain string for backward
// compatibility with existing cassettes and provider expectations.
if (part.result.type !== "content") return ProviderShared.toolResultText(part)
// Preserve the narrowed array element type when compiled through a consumer package.
const content: ReadonlyArray<ToolContent> = part.result.value
return yield* Effect.forEach(content, (item) => lowerToolResultContentItem(item, request, extension))
})
const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (request: LLMRequest, extension: Extension) {
const system: OpenResponsesInputItem[] =
request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
const input: OpenResponsesInputItem[] = [...system]
const store = OpenResponsesOptions.resolve(request).store
const providerMetadataKey = request.model.route.providerMetadataKey ?? "openresponses"
for (const message of request.messages) {
if (message.role === "system") {
const part = yield* ProviderShared.wrappedSystemUpdate(extension.name, message)
const previous = input.at(-1)
if (previous && "role" in previous && previous.role === "user")
input[input.length - 1] = {
role: "user",
content: [...previous.content, { type: "input_text", text: part.text }],
}
else input.push({ role: "user", content: [{ type: "input_text", text: part.text }] })
continue
}
if (message.role === "user") {
input.push({
role: "user",
content: yield* Effect.forEach(message.content, (part) => lowerUserContent(part, request, extension)),
})
continue
}
if (message.role === "assistant") {
const content: TextPart[] = []
const reasoningItems: Record<string, OpenResponsesReasoningReplay> = {}
const reasoningReferences = new Set<string>()
const hostedToolReferences = new Set<string>()
const flushText = () => {
if (content.length === 0) return
input.push({ role: "assistant", content: content.map((part) => ({ type: "output_text", text: part.text })) })
content.splice(0, content.length)
}
for (const part of message.content) {
if (part.type === "text") {
content.push(part)
continue
}
if (part.type === "reasoning") {
flushText()
const reasoning = lowerReasoning(part, providerMetadataKey)
if (!reasoning) continue
if (store !== false) {
if (!reasoningReferences.has(reasoning.id)) input.push({ type: "item_reference", id: reasoning.id })
reasoningReferences.add(reasoning.id)
continue
}
const existing = reasoningItems[reasoning.id]
if (existing) {
existing.summary.push(...reasoning.summary)
if (typeof reasoning.encrypted_content === "string")
existing.encrypted_content = reasoning.encrypted_content
continue
}
const replay = {
type: reasoning.type,
summary: reasoning.summary,
encrypted_content: reasoning.encrypted_content,
}
reasoningItems[reasoning.id] = replay
input.push(replay)
continue
}
if (part.type === "tool-call") {
flushText()
if (part.providerExecuted === true) continue
input.push(lowerToolCall(part))
continue
}
if (part.type === "tool-result" && part.providerExecuted === true) {
flushText()
const itemID = hostedToolItemID(part, providerMetadataKey)
if (store !== false && itemID && !hostedToolReferences.has(itemID))
input.push({ type: "item_reference", id: itemID })
if (store === false && part.result.type === "content") {
const content: ReadonlyArray<ToolContent> = part.result.value
input.push({
role: "user",
content: yield* Effect.forEach(content, (item) => lowerToolResultContentItem(item, request, extension)),
})
}
if (itemID) hostedToolReferences.add(itemID)
continue
}
return yield* ProviderShared.unsupportedContent(extension.name, "assistant", [
"text",
"reasoning",
"tool-call",
"tool-result",
])
}
flushText()
continue
}
for (const part of message.content) {
if (!ProviderShared.supportsContent(part, ["tool-result"]))
return yield* ProviderShared.unsupportedContent(extension.name, "tool", ["tool-result"])
input.push({
type: "function_call_output",
call_id: part.id,
output: yield* lowerToolResultOutput(part, request, extension),
})
}
}
// With store:false, Responses APIs only accept previous reasoning items when the
// complete item has encrypted state. Summary blocks for one item may carry
// that state only on the last block, so filter after they have been joined.
return store === false
? input.filter(
(item) => !("type" in item) || item.type !== "reasoning" || typeof item.encrypted_content === "string",
)
: input
})
const lowerOptions = (request: LLMRequest) => {
const options = OpenResponsesOptions.resolve(request)
return {
...(options.instructions ? { instructions: options.instructions } : {}),
...(options.store !== undefined ? { store: options.store } : {}),
...(options.promptCacheKey ? { prompt_cache_key: options.promptCacheKey } : {}),
...(options.include ? { include: options.include } : {}),
...(options.reasoningEffort || options.reasoningSummary
? { reasoning: { effort: options.reasoningEffort, summary: options.reasoningSummary } }
: {}),
...(options.textVerbosity ? { text: { verbosity: options.textVerbosity } } : {}),
...(options.serviceTier ? { service_tier: options.serviceTier } : {}),
}
}
export const fromRequest = Effect.fn("OpenResponses.fromRequest")(function* (
request: LLMRequest,
extension: Extension = BASE,
) {
const generation = request.generation
const toolSchemaCompatibility = request.model.compatibility?.toolSchema
return {
model: request.model.id,
input: yield* lowerMessages(request, extension),
tools:
request.tools.length === 0
? undefined
: yield* Effect.forEach(request.tools, (tool) =>
lowerTool(
extension.name,
tool,
ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),
),
),
tool_choice: request.toolChoice ? yield* lowerToolChoice(extension.name, request.toolChoice) : undefined,
stream: true as const,
max_output_tokens: generation?.maxTokens,
temperature: generation?.temperature,
top_p: generation?.topP,
...lowerOptions(request),
}
})
// =============================================================================
// Stream Parsing
// =============================================================================
// Responses APIs report `input_tokens` (inclusive total) with a
// `cached_tokens` subset, and `output_tokens` (inclusive total) with a
// `reasoning_tokens` subset. Pass the totals through and derive the
// non-cached breakdown.
const mapUsage = (usage: OpenResponsesUsage | null | undefined, providerMetadataKey: string) => {
if (!usage) return undefined
const cached = usage.input_tokens_details?.cached_tokens
const reasoning = usage.output_tokens_details?.reasoning_tokens
const nonCached = ProviderShared.subtractTokens(usage.input_tokens, cached)
return new Usage({
inputTokens: usage.input_tokens,
outputTokens: usage.output_tokens,
nonCachedInputTokens: nonCached,
cacheReadInputTokens: cached,
reasoningTokens: reasoning,
totalTokens: ProviderShared.totalTokens(usage.input_tokens, usage.output_tokens, usage.total_tokens),
providerMetadata: { [providerMetadataKey]: usage },
})
}
const mapFinishReason = (event: Event, hasFunctionCall: boolean): FinishReason => {
const reason = event.response?.incomplete_details?.reason
if (reason === undefined || reason === null) {
if (hasFunctionCall) return "tool-calls"
if (event.type === "response.incomplete") return "unknown"
return "stop"
}
if (reason === "max_output_tokens") return "length"
if (reason === "content_filter") return "content-filter"
return hasFunctionCall ? "tool-calls" : "unknown"
}
export const providerMetadata = (state: ParserState, metadata: Record<string, unknown>): ProviderMetadata => ({
[state.providerMetadataKey]: metadata,
})
const isReasoningItem = (item: StreamItem): item is StreamItem & { type: "reasoning"; id: string } =>
item.type === "reasoning" && typeof item.id === "string" && item.id.length > 0
export type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]
const NO_EVENTS: StepResult["1"] = []
// `response.completed` / `response.incomplete` are clean finishes that emit a
// `finish` event; `response.failed` is a hard failure. All three end the stream,
// so keep this set aligned with `step` and the protocol's terminal predicate.
const TERMINAL_TYPES = new Set(["response.completed", "response.incomplete", "response.failed"])
export const terminal = (event: Event) => TERMINAL_TYPES.has(event.type)
const onOutputTextDelta = (state: ParserState, event: Event): StepResult => {
if (!event.delta) return [state, NO_EVENTS]
const events: LLMEvent[] = []
return [
{ ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, event.item_id ?? "text-0", event.delta) },
events,
]
}
const onOutputTextDone = (state: ParserState, event: Event): StepResult => {
const events: LLMEvent[] = []
return [{ ...state, lifecycle: Lifecycle.textEnd(state.lifecycle, events, event.item_id ?? "text-0") }, events]
}
export const onReasoningDelta = (state: ParserState, event: Event): StepResult => {
if (!event.delta) return [state, NO_EVENTS]
const events: LLMEvent[] = []
const itemID = event.item_id ?? "reasoning-0"
const id =
event.summary_index !== undefined || state.reasoningItems[itemID] ? `${itemID}:${event.summary_index ?? 0}` : itemID
return [
{
...state,
lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, id, event.delta),
},
events,
]
}
export const onReasoningDone = (state: ParserState, _event: Event): StepResult => [state, NO_EVENTS]
const reasoningMetadata = (state: ParserState, item: StreamItem & { id: string }) =>
providerMetadata(state, { itemId: item.id, reasoningEncryptedContent: item.encrypted_content ?? null })
// Responses APIs stream reasoning items in a stable order:
// `output_item.added` (reasoning) →
// `reasoning_summary_part.added` (index=0) →
// `reasoning_summary_text.delta` →
// `reasoning_summary_part.done` (index=0) →
// (repeat for index>0) →
// `output_item.done` (reasoning).
// The handlers below rely on this ordering: `onOutputItemAdded` seeds the
// per-item entry, `onReasoningSummaryPartAdded` for `summary_index === 0`
// short-circuits when the entry already exists, and higher-index handlers
// fold against the same entry. Behaviour for out-of-order events is
// best-effort, not guaranteed.
const onOutputItemAdded = (state: ParserState, event: Event): StepResult => {
const item = event.item
if (item && isReasoningItem(item)) {
const events: LLMEvent[] = []
return [
{
...state,
lifecycle: Lifecycle.reasoningStart(state.lifecycle, events, `${item.id}:0`, reasoningMetadata(state, item)),
reasoningItems: {
...state.reasoningItems,
[item.id]: { encryptedContent: item.encrypted_content, summaryParts: { 0: "active" } },
},
},
events,
]
}
if (item?.type !== "function_call" || !item.id) return [state, NO_EVENTS]
const metadata = providerMetadata(state, { itemId: item.id })
const events: LLMEvent[] = []
const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
return [
{
...state,
lifecycle,
tools: ToolStream.start(state.tools, item.id, {
id: item.call_id ?? item.id,
name: item.name ?? "",
input: item.arguments ?? "",
providerMetadata: metadata,
}),
},
[
...events,
LLMEvent.toolInputStart({ id: item.call_id ?? item.id, name: item.name ?? "", providerMetadata: metadata }),
],
]
}
const onReasoningSummaryPartAdded = (state: ParserState, event: Event): StepResult => {
if (!event.item_id || event.summary_index === undefined) return [state, NO_EVENTS]
const item = state.reasoningItems[event.item_id] ?? { encryptedContent: undefined, summaryParts: {} }
if (event.summary_index === 0) {
if (state.reasoningItems[event.item_id]) return [state, NO_EVENTS]
const events: LLMEvent[] = []
return [
{
...state,
lifecycle: Lifecycle.reasoningStart(
state.lifecycle,
events,
`${event.item_id}:0`,
providerMetadata(state, { itemId: event.item_id, reasoningEncryptedContent: null }),
),
reasoningItems: {
...state.reasoningItems,
[event.item_id]: { ...item, summaryParts: { 0: "active" } },
},
},
events,
]
}
const events: LLMEvent[] = []
const closed = Object.entries(item.summaryParts)
.filter((entry) => entry[1] === "can-conclude")
.reduce(
(lifecycle, entry) =>
Lifecycle.reasoningEnd(
lifecycle,
events,
`${event.item_id}:${entry[0]}`,
providerMetadata(state, { itemId: event.item_id }),
),
state.lifecycle,
)
return [
{
...state,
lifecycle: Lifecycle.reasoningStart(
closed,
events,
`${event.item_id}:${event.summary_index}`,
providerMetadata(state, { itemId: event.item_id, reasoningEncryptedContent: item.encryptedContent ?? null }),
),
reasoningItems: {
...state.reasoningItems,
[event.item_id]: {
...item,
summaryParts: {
...Object.fromEntries(
Object.entries(item.summaryParts).map((entry) =>
entry[1] === "can-conclude" ? [entry[0], "concluded" as const] : entry,
),
),
[event.summary_index]: "active",
},
},
},
},
events,
]
}
const onReasoningSummaryPartDone = (state: ParserState, event: Event): StepResult => {
if (!event.item_id || event.summary_index === undefined) return [state, NO_EVENTS]
const item = state.reasoningItems[event.item_id]
if (!item) return [state, NO_EVENTS]
const events: LLMEvent[] = []
return [
{
...state,
lifecycle:
state.store !== false
? Lifecycle.reasoningEnd(
state.lifecycle,
events,
`${event.item_id}:${event.summary_index}`,
providerMetadata(state, { itemId: event.item_id }),
)
: state.lifecycle,
reasoningItems: {
...state.reasoningItems,
[event.item_id]: {
...item,
summaryParts: {
...item.summaryParts,
[event.summary_index]: state.store !== false ? "concluded" : "can-conclude",
},
},
},
},
events,
]
}
const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgumentsDelta")(function* (
state: ParserState,
event: Event,
) {
if (!event.item_id || !event.delta) return [state, NO_EVENTS] satisfies StepResult
const result = ToolStream.appendExisting(
state.id,
state.tools,
event.item_id,
event.delta,
`${state.name} tool argument delta is missing its tool call`,
)
if (ToolStream.isError(result)) return yield* result
const events: LLMEvent[] = []
const lifecycle = result.events.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle
events.push(...result.events)
return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult
})
const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (state: ParserState, event: Event) {
const item = event.item
if (!item) return [state, NO_EVENTS] satisfies StepResult
if (item.type === "message" && item.id) return onOutputTextDone(state, { ...event, item_id: item.id })
if (item.type === "function_call") {
if (!item.id || !item.call_id || !item.name) return [state, NO_EVENTS] satisfies StepResult
const tools = state.tools[item.id]
? state.tools
: ToolStream.start(state.tools, item.id, { id: item.call_id, name: item.name })
const result =
item.arguments === undefined
? yield* ToolStream.finish(state.id, tools, item.id)
: yield* ToolStream.finishWithInput(state.id, tools, item.id, item.arguments)
const events: LLMEvent[] = []
const resultEvents = result.events ?? []
const lifecycle = resultEvents.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle
events.push(...resultEvents)
return [
{
...state,
lifecycle,
hasFunctionCall:
resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||
state.hasFunctionCall,
tools: result.tools,
},
events,
] satisfies StepResult
}
if (isReasoningItem(item)) {
const events: LLMEvent[] = []
const metadata = reasoningMetadata(state, item)
const reasoningItem = state.reasoningItems[item.id]
if (reasoningItem) {
const lifecycle = Object.entries(reasoningItem.summaryParts)
.filter((entry) => entry[1] === "active" || entry[1] === "can-conclude")
.reduce(
(lifecycle, entry) => Lifecycle.reasoningEnd(lifecycle, events, `${item.id}:${entry[0]}`, metadata),
state.lifecycle,
)
const { [item.id]: _removed, ...reasoningItems } = state.reasoningItems
return [{ ...state, lifecycle, reasoningItems }, events] satisfies StepResult
}
if (!state.lifecycle.reasoning.has(item.id)) {
const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
events.push(LLMEvent.reasoningStart({ id: item.id, providerMetadata: metadata }))
events.push(LLMEvent.reasoningEnd({ id: item.id, providerMetadata: metadata }))
return [{ ...state, lifecycle }, events] satisfies StepResult
}
return [
{ ...state, lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, item.id, metadata) },
events,
] satisfies StepResult
}
return [state, NO_EVENTS] satisfies StepResult
})
const onResponseFinish = (state: ParserState, event: Event): StepResult => {
const events: LLMEvent[] = []
const lifecycle = Lifecycle.finish(state.lifecycle, events, {
reason: {
normalized: mapFinishReason(event, state.hasFunctionCall),
raw: event.response?.incomplete_details?.reason,
},
usage: mapUsage(event.response?.usage, state.providerMetadataKey),
providerMetadata:
event.response?.id || event.response?.service_tier
? providerMetadata(state, {
responseId: event.response.id,
serviceTier: event.response.service_tier,
})
: undefined,
})
return [{ ...state, lifecycle }, events]
}
// Build a single human-readable message from whatever the provider supplied.
// When both code and message are present, prefix the code so consumers see
// the failure mode (e.g. `rate_limit_exceeded: Slow down`) instead of just
// the bare message — production rate limits and context-length failures used
// to be indistinguishable from generic stream drops.
const providerErrorMessage = (event: Event, fallback: string): string => {
const nested = event.error ?? event.response?.error ?? undefined
const message = event.message || nested?.message || undefined
const code = event.code || nested?.code || undefined
if (message && code) return `${code}: ${message}`
return message || code || fallback
}
const providerError = (state: ParserState, event: Event, fallback: string) => {
const code = event.code || event.error?.code || event.response?.error?.code || undefined
const message = providerErrorMessage(event, fallback)
return new LLMError({
module: state.id,
method: "stream",
reason: classifyProviderFailure({ message, code }),
})
}
export const step = (state: ParserState, event: Event) => {
if (event.type === "response.output_text.delta") return Effect.succeed(onOutputTextDelta(state, event))
if (event.type === "response.output_text.done") return Effect.succeed(onOutputTextDone(state, event))
if (event.type === "response.reasoning.delta" || event.type === "response.reasoning_summary_text.delta")
return Effect.succeed(onReasoningDelta(state, event))
if (event.type === "response.reasoning.done" || event.type === "response.reasoning_summary_text.done")
return Effect.succeed(onReasoningDone(state, event))
if (event.type === "response.reasoning_summary_part.added")
return Effect.succeed(onReasoningSummaryPartAdded(state, event))
if (event.type === "response.reasoning_summary_part.done")
return Effect.succeed(onReasoningSummaryPartDone(state, event))
if (event.type === "response.output_item.added") return Effect.succeed(onOutputItemAdded(state, event))
if (event.type === "response.function_call_arguments.delta") return onFunctionCallArgumentsDelta(state, event)
if (event.type === "response.output_item.done") return onOutputItemDone(state, event)
if (event.type === "response.completed" || event.type === "response.incomplete")
return Effect.succeed(onResponseFinish(state, event))
if (event.type === "response.failed") return providerError(state, event, `${state.name} response failed`)
if (event.type === "error") return providerError(state, event, `${state.name} stream error`)
return Effect.succeed<StepResult>([state, NO_EVENTS])
}
// =============================================================================
// Protocol
// =============================================================================
/**
* The provider-neutral Open Responses protocol. Provider-specific Responses
* implementations compose this baseline with their own tools and event variants.
*/
export const initial = (request: LLMRequest, extension: Extension = BASE): ParserState => ({
id: extension.id,
name: extension.name,
providerMetadataKey: request.model.route.providerMetadataKey ?? "openresponses",
hasFunctionCall: false,
tools: ToolStream.empty<string>(),
lifecycle: Lifecycle.initial(),
reasoningItems: {},
store: OpenResponsesOptions.resolve(request).store,
})
export const protocol = Protocol.make({
id: ADAPTER,
body: {
schema: OpenResponsesBody,
from: fromRequest,
},
stream: {
event: Protocol.jsonEvent(Event),
initial,
step,
terminal,
},
})
export const httpTransport = HttpTransport.sseJson.with<OpenResponsesBody>()
export * as OpenResponses from "./open-responses"
+12 -40
View File
@@ -5,11 +5,9 @@ import { Endpoint } from "../route/endpoint"
import { HttpTransport } from "../route/transport"
import { Protocol } from "../route/protocol"
import {
LLMError,
LLMEvent,
Usage,
type FinishReason,
type FinishReasonDetails,
type JsonSchema,
type LLMRequest,
type MediaPart,
@@ -19,7 +17,6 @@ import {
type ToolDefinition,
type ToolContent,
} from "../schema"
import { classifyProviderFailure } from "../provider-error"
import { isRecord, JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared"
import { OpenAIOptions } from "./utils/openai-options"
import { Lifecycle } from "./utils/lifecycle"
@@ -167,18 +164,11 @@ const OpenAIChatDelta = Schema.StructWithRest(
const OpenAIChatChoice = Schema.Struct({
delta: optionalNull(OpenAIChatDelta),
finish_reason: optionalNull(Schema.String),
native_finish_reason: optionalNull(Schema.String),
})
const OpenAIChatError = Schema.Struct({
code: optionalNull(Schema.Union([Schema.String, Schema.Number])),
message: Schema.String,
})
export const OpenAIChatEvent = Schema.Struct({
choices: optionalNull(Schema.Array(OpenAIChatChoice)),
choices: Schema.Array(OpenAIChatChoice),
usage: optionalNull(OpenAIChatUsage),
error: optionalNull(OpenAIChatError),
})
export type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>
type OpenAIChatRequestMessage = LLMRequest["messages"][number]
@@ -194,7 +184,7 @@ export interface ParserState {
readonly pendingTools: Partial<Record<number, PendingToolDelta>>
readonly toolCallEvents: ReadonlyArray<LLMEvent>
readonly usage?: Usage
readonly finishReason?: FinishReasonDetails
readonly finishReason?: FinishReason
readonly lifecycle: Lifecycle.State
readonly reasoningField?: string
readonly reasoningDetails: Array<unknown>
@@ -396,13 +386,14 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
return messages
})
const lowerOptions = (request: LLMRequest) => {
const options = OpenAIOptions.resolve(request)
const lowerOptions = Effect.fn("OpenAIChat.lowerOptions")(function* (request: LLMRequest) {
const store = OpenAIOptions.store(request)
const reasoningEffort = OpenAIOptions.reasoningEffort(request)
return {
...(options.store !== undefined ? { store: options.store } : {}),
...(options.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),
...(store !== undefined ? { store } : {}),
...(reasoningEffort ? { reasoning_effort: reasoningEffort } : {}),
}
}
})
const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (request: LLMRequest) {
// `fromRequest` returns the provider body only. Endpoint, auth, framing,
@@ -433,7 +424,7 @@ const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (request: LLMR
presence_penalty: generation?.presencePenalty,
seed: generation?.seed,
stop: generation?.stop,
...lowerOptions(request),
...(yield* lowerOptions(request)),
}
})
@@ -448,7 +439,6 @@ const mapFinishReason = (reason: string | null | undefined): FinishReason => {
if (reason === "length") return "length"
if (reason === "content_filter") return "content-filter"
if (reason === "function_call" || reason === "tool_calls") return "tool-calls"
if (reason === "error") return "error"
return "unknown"
}
@@ -542,22 +532,10 @@ const reasoningMetadata = (field: ParserState["reasoningField"], details?: Reado
const step = (state: ParserState, event: OpenAIChatEvent) =>
Effect.gen(function* () {
if (event.error)
return yield* new LLMError({
module: ADAPTER,
method: "stream",
reason: classifyProviderFailure({
message: event.error.message,
code: event.error.code === undefined || event.error.code === null ? undefined : String(event.error.code),
status: typeof event.error.code === "number" ? event.error.code : undefined,
}),
})
const events: LLMEvent[] = []
const usage = mapUsage(event.usage) ?? state.usage
const choice = event.choices?.[0]
const finishReason = choice?.finish_reason
? { normalized: mapFinishReason(choice.finish_reason), raw: choice.native_finish_reason ?? choice.finish_reason }
: state.finishReason
const choice = event.choices[0]
const finishReason = choice?.finish_reason ? mapFinishReason(choice.finish_reason) : state.finishReason
const delta = choice?.delta
const toolDeltas = delta?.tool_calls ?? []
let tools = state.tools
@@ -649,13 +627,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
const finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {
const events: LLMEvent[] = []
const hasToolCalls = state.toolCallEvents.length > 0
const reason = state.finishReason
? {
...state.finishReason,
normalized:
state.finishReason.normalized === "stop" && hasToolCalls ? "tool-calls" : state.finishReason.normalized,
}
: undefined
const reason = state.finishReason === "stop" && hasToolCalls ? "tool-calls" : state.finishReason
const metadata = reasoningMetadata(
state.reasoningField,
state.reasoningDetailsObserved ? state.reasoningDetails : undefined,
@@ -1,22 +1,23 @@
import { Route, type RouteRoutedModelInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { OpenResponses } from "./open-responses"
import { OpenAIResponses } from "./openai-responses"
const ADAPTER = "openai-compatible-responses"
export type OpenAICompatibleResponsesModelInput = RouteRoutedModelInput
/**
* Deployment adapter for providers that expose an Open Responses-compatible
* `/responses` endpoint. Provider helpers configure identity, endpoint, and
* auth while the semantic protocol remains provider-neutral.
* Route for providers that expose an OpenAI Responses-compatible `/responses`
* endpoint. Provider helpers configure identity, endpoint, and auth before
* model selection while this route reuses the OpenAI Responses protocol.
*/
export const route = Route.make({
id: ADAPTER,
providerMetadataKey: "openresponses",
protocol: OpenResponses.protocol,
endpoint: Endpoint.path(OpenResponses.PATH),
transport: OpenResponses.httpTransport,
providerMetadataKey: "openai",
protocol: OpenAIResponses.protocol,
endpoint: Endpoint.path(OpenAIResponses.PATH),
transport: OpenAIResponses.httpTransport,
defaults: { providerOptions: { openai: { store: false } } },
})
export * as OpenAICompatibleResponses from "./openai-compatible-responses"
File diff suppressed because it is too large Load Diff
+2 -2
View File
@@ -1,4 +1,4 @@
import { LLMEvent, type FinishReasonDetails, type ProviderMetadata, type Usage } from "../../schema"
import { LLMEvent, type FinishReason, type ProviderMetadata, type Usage } from "../../schema"
export interface State {
readonly stepStarted: boolean
@@ -81,7 +81,7 @@ export const finish = (
state: State,
events: LLMEvent[],
input: {
readonly reason: FinishReasonDetails
readonly reason: FinishReason
readonly usage?: Usage
readonly providerMetadata?: ProviderMetadata
},
@@ -1,65 +0,0 @@
import { Schema } from "effect"
import { TextVerbosity, type LLMRequest } from "../../schema"
export const ResponseIncludables = [
"file_search_call.results",
"web_search_call.results",
"web_search_call.action.sources",
"message.input_image.image_url",
"computer_call_output.output.image_url",
"code_interpreter_call.outputs",
"reasoning.encrypted_content",
"message.output_text.logprobs",
] as const
export type ResponseIncludable = (typeof ResponseIncludables)[number]
export const ServiceTiers = ["auto", "default", "flex", "priority"] as const
export type ServiceTier = (typeof ServiceTiers)[number]
const TEXT_VERBOSITY = new Set<string>(["low", "medium", "high"])
const INCLUDABLES = new Set<string>(ResponseIncludables)
const SERVICE_TIERS = new Set<string>(ServiceTiers)
const isTextVerbosity = (value: unknown): value is Schema.Schema.Type<typeof TextVerbosity> =>
typeof value === "string" && TEXT_VERBOSITY.has(value)
const isServiceTier = (value: unknown): value is ServiceTier => typeof value === "string" && SERVICE_TIERS.has(value)
export const ReasoningEffort = Schema.String
export const TextVerbositySchema = TextVerbosity
export const ResponseIncludableSchema = Schema.Literals(ResponseIncludables)
export const ServiceTierSchema = Schema.Literals(ServiceTiers)
export interface Resolved {
readonly instructions?: string
readonly store?: boolean
readonly promptCacheKey?: string
readonly reasoningEffort?: string
readonly reasoningSummary?: "auto" | "concise" | "detailed"
readonly include?: ReadonlyArray<ResponseIncludable>
readonly textVerbosity?: Schema.Schema.Type<typeof TextVerbosity>
readonly serviceTier?: ServiceTier
}
export const resolve = (request: LLMRequest): Resolved => {
const input = request.providerOptions?.[request.model.route.providerMetadataKey ?? "openresponses"]
const include = Array.isArray(input?.include)
? input.include.filter((entry): entry is ResponseIncludable => INCLUDABLES.has(entry))
: []
const reasoningSummary = input?.reasoningSummary
return {
instructions: typeof input?.instructions === "string" ? input.instructions : undefined,
store: typeof input?.store === "boolean" ? input.store : undefined,
promptCacheKey: typeof input?.promptCacheKey === "string" ? input.promptCacheKey : undefined,
reasoningEffort: typeof input?.reasoningEffort === "string" ? input.reasoningEffort : undefined,
reasoningSummary:
reasoningSummary === "auto" || reasoningSummary === "concise" || reasoningSummary === "detailed"
? reasoningSummary
: undefined,
include: include.length > 0 ? include : undefined,
textVerbosity: isTextVerbosity(input?.textVerbosity) ? input.textVerbosity : undefined,
serviceTier: isServiceTier(input?.serviceTier) ? input.serviceTier : undefined,
}
}
export * as OpenResponsesOptions from "./open-responses-options"
@@ -1,23 +1,85 @@
import { ReasoningEfforts } from "../../schema"
import { OpenResponsesOptions } from "./open-responses-options"
import { Schema } from "effect"
import type { LLMRequest, TextVerbosity as TextVerbosityValue } from "../../schema"
import { ReasoningEfforts, TextVerbosity } from "../../schema"
export const OpenAIReasoningEfforts = ReasoningEfforts
export type OpenAIReasoningEffort = string
// Mirrors OpenAI's `ResponseIncludable` union from the official SDK. Keep this
// in lockstep with `openai-node/src/resources/responses/responses.ts`.
export const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables
export type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable
export const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers
export type OpenAIServiceTier = OpenResponsesOptions.ServiceTier
export const OpenAIResponseIncludables = [
"file_search_call.results",
"web_search_call.results",
"web_search_call.action.sources",
"message.input_image.image_url",
"computer_call_output.output.image_url",
"code_interpreter_call.outputs",
"reasoning.encrypted_content",
"message.output_text.logprobs",
] as const
export type OpenAIResponseIncludable = (typeof OpenAIResponseIncludables)[number]
export const OpenAIServiceTiers = ["auto", "default", "flex", "priority"] as const
export type OpenAIServiceTier = (typeof OpenAIServiceTiers)[number]
export const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort
export const OpenAITextVerbosity = OpenResponsesOptions.TextVerbositySchema
export const OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludableSchema
export const OpenAIServiceTier = OpenResponsesOptions.ServiceTierSchema
const TEXT_VERBOSITY = new Set<string>(["low", "medium", "high"])
const INCLUDABLES = new Set<string>(OpenAIResponseIncludables)
const SERVICE_TIERS = new Set<string>(OpenAIServiceTiers)
export const OpenAIReasoningEffort = Schema.String
export const OpenAITextVerbosity = TextVerbosity
export const OpenAIResponseIncludable = Schema.Literals(OpenAIResponseIncludables)
export const OpenAIServiceTier = Schema.Literals(OpenAIServiceTiers)
export const isReasoningEffort = (effort: unknown): effort is OpenAIReasoningEffort => typeof effort === "string"
export const resolve = OpenResponsesOptions.resolve
const isTextVerbosity = (value: unknown): value is TextVerbosityValue =>
typeof value === "string" && TEXT_VERBOSITY.has(value)
const options = (request: LLMRequest) => request.providerOptions?.openai
export const store = (request: LLMRequest): boolean | undefined => {
const value = options(request)?.store
return typeof value === "boolean" ? value : undefined
}
export const reasoningEffort = (request: LLMRequest): string | undefined => {
const value = options(request)?.reasoningEffort
return typeof value === "string" ? value : undefined
}
export const reasoningSummary = (request: LLMRequest): "auto" | undefined =>
options(request)?.reasoningSummary === "auto" ? "auto" : undefined
// Resolve the OpenAI Responses `include` field. Filters out unknown
// includable values defensively so a typo in upstream config drops the
// invalid entry instead of poisoning the wire body. An empty array (either
// passed directly or produced by filtering) is treated as "no include" and
// returns undefined so the request body omits the field entirely.
export const include = (request: LLMRequest): ReadonlyArray<OpenAIResponseIncludable> | undefined => {
const value = options(request)?.include
if (!Array.isArray(value)) return undefined
const filtered = value.filter((entry): entry is OpenAIResponseIncludable => INCLUDABLES.has(entry))
return filtered.length > 0 ? filtered : undefined
}
export const promptCacheKey = (request: LLMRequest) => {
const value = options(request)?.promptCacheKey
return typeof value === "string" ? value : undefined
}
export const textVerbosity = (request: LLMRequest) => {
const value = options(request)?.textVerbosity
return isTextVerbosity(value) ? value : undefined
}
export const serviceTier = (request: LLMRequest) => {
const value = options(request)?.serviceTier
return typeof value === "string" && SERVICE_TIERS.has(value) ? (value as OpenAIServiceTier) : undefined
}
export const instructions = (request: LLMRequest) => {
const value = options(request)?.instructions
return typeof value === "string" ? value : undefined
}
export * as OpenAIOptions from "./openai-options"
@@ -63,8 +63,6 @@ const openAI = (schema: JsonSchema): JsonSchema => {
return isRecord(normalized) ? normalized : { type: "object" }
}
const responses = openAI
const gemini = (schema: JsonSchema): JsonSchema => GeminiToolSchema.convert(schema) ?? {}
const modelCompatibility = (
@@ -85,5 +83,4 @@ export const ToolSchemaProjection = {
modelCompatibility,
moonshot,
openAI,
responses,
} as const
@@ -5,17 +5,12 @@ import type { ProviderAuthOption } from "../route/auth-options"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID } from "../schema"
export type AnthropicOptionsInput = AnthropicMessages.OptionsInput
export type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput
export type AnthropicThinkingInput = AnthropicMessages.ThinkingInput
export const id = ProviderID.make("anthropic-compatible")
export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly provider?: string
readonly baseURL: string
readonly providerOptions?: AnthropicMessages.ProviderOptionsInput
}
export type Settings = ProviderPackage.Settings &
@@ -25,7 +20,6 @@ export type Settings = ProviderPackage.Settings &
) & {
readonly baseURL: string
readonly provider?: string
readonly providerOptions?: AnthropicMessages.ProviderOptionsInput
}
export const routes = [AnthropicMessages.route]
@@ -67,7 +61,6 @@ export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, se
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
provider: settings.provider,
providerOptions: settings.providerOptions,
}).model(modelID)
}
+1 -11
View File
@@ -6,19 +6,11 @@ import { ProviderID, type ModelID } from "../schema"
import { AnthropicMessages } from "../protocols/anthropic-messages"
import { AnthropicCompatible } from "./anthropic-compatible"
export type AnthropicOptionsInput = AnthropicMessages.OptionsInput
export type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput
export type AnthropicThinkingInput = AnthropicMessages.ThinkingInput
export const id = ProviderID.make("anthropic")
export const routes = [AnthropicMessages.route]
export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly baseURL?: string
readonly providerOptions?: AnthropicMessages.ProviderOptionsInput
}
export type Config = RouteDefaultsInput & ProviderAuthOption<"optional"> & { readonly baseURL?: string }
export type Settings = ProviderPackage.Settings &
(
@@ -26,7 +18,6 @@ export type Settings = ProviderPackage.Settings &
| { readonly apiKey?: never; readonly authToken?: string }
) & {
readonly baseURL?: string
readonly providerOptions?: AnthropicMessages.ProviderOptionsInput
}
const auth = (options: ProviderAuthOption<"optional">) => {
@@ -61,6 +52,5 @@ export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, se
headers: settings.headers === undefined ? undefined : { ...settings.headers },
http: settings.body === undefined ? undefined : { body: { ...settings.body } },
limits: settings.limits,
providerOptions: settings.providerOptions,
}).model(modelID)
}
@@ -6,13 +6,9 @@ import { Route, type RouteDefaultsInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { Protocol } from "../route/protocol"
import { ProviderID, type ModelID } from "../schema"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export type AnthropicOptionsInput = AnthropicMessages.OptionsInput
export type AnthropicProviderOptionsInput = AnthropicMessages.ProviderOptionsInput
export type AnthropicThinkingInput = AnthropicMessages.ThinkingInput
const VERSION = "vertex-2023-10-16" as const
// models.dev uses this provider id even though the API contract is Anthropic Messages.
@@ -23,7 +19,6 @@ export type Config = RouteDefaultsInput &
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: AnthropicMessages.ProviderOptionsInput
}
export interface Settings extends ProviderPackage.Settings {
@@ -32,7 +27,7 @@ export interface Settings extends ProviderPackage.Settings {
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: AnthropicMessages.ProviderOptionsInput
readonly providerOptions?: ProviderOptions
}
const route = Route.make({
@@ -25,7 +25,6 @@ export interface Settings extends ProviderPackage.Settings {
const route = OpenAICompatibleResponses.route.with({
id: "google-vertex-responses",
provider: id,
providerOptions: { openresponses: { store: false } },
})
export const routes = [route]
+2 -6
View File
@@ -4,12 +4,9 @@ import { Auth } from "../route/auth"
import { Route, type RouteDefaultsInput } from "../route/client"
import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { ProviderID, type ModelID } from "../schema"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { GoogleVertexShared } from "./google-vertex-shared"
export type GeminiOptionsInput = Gemini.OptionsInput
export type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput
export const id = ProviderID.make("google-vertex")
export type Config = RouteDefaultsInput &
@@ -17,7 +14,6 @@ export type Config = RouteDefaultsInput &
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: Gemini.ProviderOptionsInput
}
export type Settings = ProviderPackage.Settings &
@@ -28,7 +24,7 @@ export type Settings = ProviderPackage.Settings &
readonly baseURL?: string
readonly location?: string
readonly project?: string
readonly providerOptions?: Gemini.ProviderOptionsInput
readonly providerOptions?: ProviderOptions
}
const route = Route.make({
+2 -5
View File
@@ -2,13 +2,11 @@ import type { RouteDefaultsInput } from "../route/client"
import { Auth } from "../route/auth"
import type { ProviderAuthOption } from "../route/auth-options"
import type { ProviderPackage } from "../provider-package"
import { HttpOptions, ProviderID, mergeHttpOptions, type ModelID } from "../schema"
import { HttpOptions, ProviderID, mergeHttpOptions, type ModelID, type ProviderOptions } from "../schema"
import { Gemini } from "../protocols/gemini"
import { GoogleImages } from "../protocols/google-images"
export type { GoogleImageOptions } from "../protocols/google-images"
export type GeminiOptionsInput = Gemini.OptionsInput
export type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput
export const id = ProviderID.make("google")
@@ -17,13 +15,12 @@ export const routes = [Gemini.route]
export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly baseURL?: string
readonly providerOptions?: Gemini.ProviderOptionsInput
}
export interface Settings extends ProviderPackage.Settings {
readonly apiKey?: string
readonly baseURL?: string
readonly providerOptions?: Gemini.ProviderOptionsInput
readonly providerOptions?: ProviderOptions
}
const auth = (options: ProviderAuthOption<"optional">) => {
@@ -1,20 +0,0 @@
import type { ResponseIncludable, ServiceTier } from "../protocols/utils/open-responses-options"
import type { ProviderOptions, ReasoningEffort, TextVerbosity } from "../schema"
export interface OpenResponsesOptionsInput {
readonly [key: string]: unknown
readonly instructions?: string
readonly store?: boolean
readonly promptCacheKey?: string
readonly reasoningEffort?: ReasoningEffort
readonly reasoningSummary?: "auto" | "concise" | "detailed"
readonly include?: ReadonlyArray<ResponseIncludable>
readonly textVerbosity?: TextVerbosity
readonly serviceTier?: ServiceTier
}
export type OpenResponsesProviderOptionsInput = ProviderOptions & {
readonly openresponses?: OpenResponsesOptionsInput
}
export * as OpenResponsesProviderOptions from "./open-responses-options"
@@ -3,9 +3,7 @@ import { OpenAICompatibleResponses } from "../protocols/openai-compatible-respon
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
import type { RouteDefaultsInput } from "../route/client"
import { ProviderID, type ModelID } from "../schema"
import type { OpenResponsesProviderOptionsInput } from "./open-responses-options"
export type { OpenResponsesOptionsInput, OpenResponsesProviderOptionsInput } from "./open-responses-options"
import type { OpenAIProviderOptionsInput } from "./openai-options"
export const id = ProviderID.make("openai-compatible")
@@ -13,14 +11,13 @@ export type Config = RouteDefaultsInput &
ProviderAuthOption<"optional"> & {
readonly provider?: string
readonly baseURL: string
readonly providerOptions?: OpenResponsesProviderOptionsInput
}
export interface Settings extends ProviderPackage.Settings {
readonly apiKey?: string
readonly baseURL: string
readonly provider?: string
readonly providerOptions?: OpenResponsesProviderOptionsInput
readonly providerOptions?: OpenAIProviderOptionsInput
}
export const routes = [OpenAICompatibleResponses.route]
+15 -3
View File
@@ -1,10 +1,22 @@
import type { ProviderOptions } from "../schema"
import type { ProviderOptions, ReasoningEffort, TextVerbosity } from "../schema"
import { mergeProviderOptions } from "../schema"
import type { OpenResponsesOptionsInput } from "./open-responses-options"
import type { OpenAIResponseIncludable, OpenAIServiceTier } from "../protocols/utils/openai-options"
export type { OpenAIResponseIncludable, OpenAIServiceTier } from "../protocols/utils/openai-options"
export type OpenAIOptionsInput = OpenResponsesOptionsInput
export interface OpenAIOptionsInput {
readonly [key: string]: unknown
readonly store?: boolean
readonly promptCacheKey?: string
readonly reasoningEffort?: ReasoningEffort
readonly reasoningSummary?: "auto"
// OpenAI Responses `include` wire field. Mirrors the official SDK's
// `ResponseIncludable[]` union exactly so AI SDK callers and direct
// native-SDK callers share one shape and no translation is required.
readonly include?: ReadonlyArray<OpenAIResponseIncludable>
readonly textVerbosity?: TextVerbosity
readonly serviceTier?: OpenAIServiceTier
}
export type OpenAIProviderOptionsInput = ProviderOptions & {
readonly openai?: OpenAIOptionsInput
+1 -2
View File
@@ -12,8 +12,7 @@ import type { LLMError, LLMEvent, LLMRequest, ProtocolID } from "../schema"
* Examples:
*
* - `OpenAIChat.protocol` — chat completions style
* - `OpenResponses.protocol` — provider-neutral Responses API baseline
* - `OpenAIResponses.protocol` — OpenAI extensions to that baseline
* - `OpenAIResponses.protocol` — responses API
* - `AnthropicMessages.protocol` — messages API with content blocks
* - `Gemini.protocol` — generateContent
* - `BedrockConverse.protocol` — Converse with binary event-stream framing
+5 -11
View File
@@ -191,16 +191,10 @@ export const ToolError = Schema.Struct({
}).annotate({ identifier: "LLM.Event.ToolError" })
export type ToolError = Schema.Schema.Type<typeof ToolError>
export const FinishReasonDetails = Schema.Struct({
normalized: FinishReason,
raw: Schema.optional(Schema.String),
}).annotate({ identifier: "LLM.FinishReasonDetails" })
export type FinishReasonDetails = Schema.Schema.Type<typeof FinishReasonDetails>
export const StepFinish = Schema.Struct({
type: Schema.tag("step-finish"),
index: Schema.Number,
reason: FinishReasonDetails,
reason: FinishReason,
usage: Schema.optional(Usage),
providerMetadata: Schema.optional(ProviderMetadata),
}).annotate({ identifier: "LLM.Event.StepFinish" })
@@ -208,7 +202,7 @@ export type StepFinish = Schema.Schema.Type<typeof StepFinish>
export const Finish = Schema.Struct({
type: Schema.tag("finish"),
reason: FinishReasonDetails,
reason: FinishReason,
usage: Schema.optional(Usage),
providerMetadata: Schema.optional(ProviderMetadata),
}).annotate({ identifier: "LLM.Event.Finish" })
@@ -371,7 +365,7 @@ interface ResponseState {
readonly events: ReadonlyArray<LLMEvent>
readonly message: Message
readonly usage?: Usage
readonly finishReason?: FinishReasonDetails
readonly finishReason?: FinishReason
readonly textParts: Readonly<Record<string, ContentAssembly>>
readonly reasoningParts: Readonly<Record<string, ContentAssembly>>
readonly toolInputs: Readonly<Record<string, ToolInputAssembly>>
@@ -399,7 +393,7 @@ const appendEvent = (state: ResponseState, event: LLMEvent): ResponseState => {
return {
...state,
events,
finishReason: state.finishReason ?? { normalized: "error" },
finishReason: state.finishReason ?? "error",
}
}
return {
@@ -586,7 +580,7 @@ export class LLMResponse extends Schema.Class<LLMResponse>("LLM.Response")({
message: Message,
events: Schema.Array(LLMEvent),
usage: Schema.optional(Usage),
finishReason: FinishReasonDetails,
finishReason: FinishReason,
}) {
/** Concatenated assistant text assembled from streamed `text-delta` events. */
get text() {
+9
View File
@@ -261,6 +261,13 @@ export namespace ToolChoice {
}
}
export const ResponseFormat = Schema.Union([
Schema.Struct({ type: Schema.Literal("text") }),
Schema.Struct({ type: Schema.Literal("json"), schema: JsonSchema }),
Schema.Struct({ type: Schema.Literal("tool"), tool: ToolDefinition }),
]).pipe(Schema.toTaggedUnion("type"))
export type ResponseFormat = Schema.Schema.Type<typeof ResponseFormat>
export class LLMRequest extends Schema.Class<LLMRequest>("LLM.Request")({
id: Schema.optional(Schema.String),
model: ModelSchema,
@@ -271,6 +278,7 @@ export class LLMRequest extends Schema.Class<LLMRequest>("LLM.Request")({
generation: Schema.optional(GenerationOptions),
providerOptions: Schema.optional(ProviderOptions),
http: Schema.optional(HttpOptions),
responseFormat: Schema.optional(ResponseFormat),
cache: Schema.optional(CachePolicy),
metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
}) {}
@@ -288,6 +296,7 @@ export namespace LLMRequest {
generation: request.generation,
providerOptions: request.providerOptions,
http: request.http,
responseFormat: request.responseFormat,
cache: request.cache,
metadata: request.metadata,
})
+4 -4
View File
@@ -1,6 +1,6 @@
import { describe, expect } from "bun:test"
import { Effect, Schema, Stream } from "effect"
import { LLM, LLMRequest, LLMResponse } from "../src"
import { LLM, LLMResponse } from "../src"
import { Route, Endpoint, LLMClient, Protocol, type FramingDef } from "../src/route"
import { Model } from "../src/schema"
import { testEffect } from "./lib/effect"
@@ -40,7 +40,7 @@ const fakeFraming: FramingDef<FakeEvent> = {
const raiseEvent = (event: FakeEvent): import("../src/schema").LLMEvent =>
event.type === "finish"
? { type: "finish", reason: { normalized: event.reason } }
? { type: "finish", reason: event.reason }
: { type: "text-delta", id: "text-0", text: event.text }
const fakeProtocol = Protocol.make<FakeBody, FakeEvent, FakeEvent, void>({
@@ -141,7 +141,7 @@ describe("llm route", () => {
Effect.gen(function* () {
const llm = yield* LLMClient.Service
const prepared = yield* llm.prepare(
LLMRequest.update(request, { model: updateModel(request.model, { route: configuredGemini }) }),
LLM.updateRequest(request, { model: updateModel(request.model, { route: configuredGemini }) }),
)
expect(prepared.route).toBe("gemini-fake")
@@ -174,7 +174,7 @@ describe("llm route", () => {
})
const prepared = yield* (yield* LLMClient.Service).prepare(
LLMRequest.update(request, { model: updateModel(request.model, { route: duplicate }) }),
LLM.updateRequest(request, { model: updateModel(request.model, { route: duplicate }) }),
)
expect(prepared.body).toEqual({ body: "late-default" })
+2 -26
View File
@@ -137,26 +137,15 @@ Azure.configure({ apiKey: "azure-key", resourceName: "resource" }).chat("deploym
Azure.configure({ resourceName: "resource", apiKey: "azure-key", auth: Auth.header("api-key", "override") })
Anthropic.configure({ apiKey: "anthropic-key" }).model("claude-haiku")
Anthropic.configure({
apiKey: "anthropic-key",
providerOptions: {
anthropic: { thinking: { type: "enabled", budgetTokens: 1_024 }, effort: "high" },
},
}).model("claude-haiku")
// @ts-expect-error Anthropic model selectors only accept model ids.
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" } } } })
// @ts-expect-error Anthropic thinking budgets must be numbers.
Anthropic.configure({ providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: "large" } } } })
AnthropicCompatible.configure({
apiKey: "messages-key",
baseURL: "https://messages.example.com/v1",
provider: "example",
providerOptions: { anthropic: { thinking: { type: "disabled" } } },
}).model("compatible-model")
// @ts-expect-error Anthropic-compatible providers require a base URL.
AnthropicCompatible.configure({ apiKey: "messages-key" })
@@ -170,19 +159,10 @@ 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 } } },
}).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" } } } })
GoogleVertex.configure({
apiKey: "vertex-key",
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 1_024 } } },
}).model("gemini-3.5-flash")
GoogleVertex.configure({ apiKey: "vertex-key" }).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")
// @ts-expect-error Vertex Gemini model selectors only accept model ids.
@@ -228,11 +208,7 @@ GoogleVertexResponses.configure({
project: "project",
})
GoogleVertexMessages.configure({
accessToken: "vertex-token",
project: "project",
providerOptions: { anthropic: { thinking: { type: "adaptive", display: "omitted" }, effort: "low" } },
}).model("claude-sonnet-4-6")
GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).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" })
GoogleVertexMessages.configure({ auth: Auth.bearer("vertex-token"), project: "project" }).model("claude-sonnet-4-6")
+1 -9
View File
@@ -11,13 +11,7 @@ import {
XAI,
} from "@opencode-ai/ai/providers"
import * as GitHubCopilot from "@opencode-ai/ai/providers/github-copilot"
import {
OpenAIChat,
OpenAICompatibleChat,
OpenAICompatibleResponses,
OpenAIResponses,
OpenResponses,
} from "@opencode-ai/ai/protocols"
import { OpenAIChat, OpenAICompatibleChat, OpenAICompatibleResponses, OpenAIResponses } from "@opencode-ai/ai/protocols"
import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
describe("public exports", () => {
@@ -80,9 +74,7 @@ describe("public exports", () => {
test("protocol barrels expose supported low-level routes", () => {
expect(OpenAIChat.route.id).toBe("openai-chat")
expect(OpenAICompatibleChat.route.id).toBe("openai-compatible-chat")
expect(OpenResponses.protocol.id).toBe("open-responses")
expect(OpenAICompatibleResponses.route.id).toBe("openai-compatible-responses")
expect(OpenAICompatibleResponses.route.protocol).toBe("open-responses")
expect(OpenAIResponses.route.id).toBe("openai-responses")
expect(OpenAIResponses.webSocketRoute.id).toBe("openai-responses-websocket")
expect(AnthropicMessages.route.id).toBe("anthropic-messages")
+1 -1
View File
@@ -83,7 +83,7 @@ const indexStep = (event: LLMEvent, index: number): LLMEvent => {
const stepState = (events: ReadonlyArray<LLMEvent>) => {
const assistantContent: ContentPart[] = []
const toolCalls: ToolCallPart[] = []
let reason: Extract<LLMEvent, { type: "finish" }>["reason"] = { normalized: "unknown" }
let reason: Extract<LLMEvent, { type: "finish" }>["reason"] = "unknown"
let usage: Usage | undefined
let providerMetadata: ProviderMetadata | undefined
+4 -13
View File
@@ -2,16 +2,7 @@ import { describe, expect, test } from "bun:test"
import { CacheHint, LLM, LLMResponse } from "../src"
import * as OpenAIChat from "../src/protocols/openai-chat"
import * as OpenAIResponses from "../src/protocols/openai-responses"
import {
GenerationOptions,
LLMRequest,
Message,
Model,
ToolCallPart,
ToolChoice,
ToolDefinition,
ToolResultPart,
} from "../src/schema"
import { LLMRequest, Message, Model, ToolCallPart, ToolChoice, ToolDefinition, ToolResultPart } from "../src/schema"
const chatRoute = OpenAIChat.route
const responsesRoute = OpenAIResponses.route
@@ -40,8 +31,8 @@ describe("llm constructors", () => {
model: Model.make({ id: "fake-model", provider: "fake", route: chatRoute }),
prompt: "Say hello.",
})
const updated = LLMRequest.update(base, {
generation: GenerationOptions.make({ maxTokens: 20 }),
const updated = LLM.updateRequest(base, {
generation: { maxTokens: 20 },
messages: [...base.messages, Message.assistant("Hi.")],
})
@@ -200,7 +191,7 @@ describe("llm constructors", () => {
LLMResponse.text({
events: [
{ type: "text-delta", id: "text-0", text: "hi" },
{ type: "finish", reason: { normalized: "stop" } },
{ type: "finish", reason: "stop" },
],
}),
).toBe("hi")
+4 -18
View File
@@ -59,7 +59,7 @@ 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: { openai: { reasoningEffort: "low", store: true } },
})
expect(String(selected.provider)).toBe("example")
@@ -72,7 +72,7 @@ describe("provider package entrypoints", () => {
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 },
openai: { reasoningEffort: "low", store: true },
})
})
@@ -85,7 +85,6 @@ 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" } },
})
expect(String(selected.provider)).toBe("example")
@@ -97,19 +96,6 @@ 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" } })
})
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" } } },
})
expect(selected.route.defaults.providerOptions).toEqual({
anthropic: { thinking: { type: "adaptive" } },
})
})
test("requires an Anthropic-compatible base URL at runtime", async () => {
@@ -249,12 +235,12 @@ describe("provider package entrypoints", () => {
path: "/chat/completions",
})
expect(responses.route.id).toBe("google-vertex-responses")
expect(responses.route.protocol).toBe("open-responses")
expect(responses.route.protocol).toBe("openai-responses")
expect(responses.route.endpoint).toMatchObject({
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({ openai: { store: false } })
})
test("rejects conflicting Vertex auth settings at runtime", async () => {
@@ -1,7 +1,7 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import { CacheHint, LLM, LLMError, LLMRequest, Message, ToolCallPart, ToolDefinition, Usage } from "../../src"
import { CacheHint, LLM, LLMError, Message, ToolCallPart, Usage } from "../../src"
import { Auth, LLMClient } from "../../src/route"
import * as AnthropicMessages from "../../src/protocols/anthropic-messages"
import { continuationRequest, nativeAnthropicMessagesContinuation } from "../continuation-scenarios"
@@ -60,7 +60,7 @@ describe("Anthropic Messages route", () => {
it.effect("lowers adaptive thinking settings with effort", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLMRequest.update(request, {
LLM.updateRequest(request, {
providerOptions: {
anthropic: { thinking: { type: "adaptive", display: "summarized" }, effort: "low" },
},
@@ -74,42 +74,6 @@ describe("Anthropic Messages route", () => {
}),
)
it.effect("normalizes enabled and disabled thinking settings", () =>
Effect.gen(function* () {
const enabled = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLMRequest.update(request, {
providerOptions: { anthropic: { thinking: { type: "enabled", budgetTokens: 1_024 } } },
}),
)
const legacy = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLMRequest.update(request, {
providerOptions: { anthropic: { thinking: { type: "enabled", budget_tokens: 2_048 } } },
}),
)
const disabled = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLMRequest.update(request, {
providerOptions: { anthropic: { thinking: { type: "disabled" } } },
}),
)
expect(enabled.body.thinking).toEqual({ type: "enabled", budget_tokens: 1_024 })
expect(legacy.body.thinking).toEqual({ type: "enabled", budget_tokens: 2_048 })
expect(disabled.body.thinking).toEqual({ type: "disabled" })
}),
)
it.effect("rejects enabled thinking without a budget", () =>
Effect.gen(function* () {
const error = yield* LLMClient.prepare(
LLMRequest.update(request, {
providerOptions: { anthropic: { thinking: { type: "enabled" } } },
}),
).pipe(Effect.flip)
expect(error.message).toContain("Anthropic thinking provider option requires budgetTokens")
}),
)
it.effect("lowers chronological system updates natively for Claude Opus 4.8 with cache hints", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
@@ -271,34 +235,6 @@ describe("Anthropic Messages route", () => {
}),
)
it.effect("keeps tools and sends tool_choice none", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLM.request({
id: "req_tool_choice_none",
model,
tools: [{ name: "lookup", description: "Look things up", inputSchema: { type: "object", properties: {} } }],
messages: [
Message.user("What is the weather?"),
Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: { query: "weather" } })]),
Message.tool({ id: "call_1", name: "lookup", result: { forecast: "sunny" } }),
],
toolChoice: "none",
cache: "none",
}),
)
expect(prepared.body.tools).toEqual([
{
name: "lookup",
description: "Look things up",
input_schema: { type: "object", properties: {} },
},
])
expect(prepared.body.tool_choice).toEqual({ type: "none" })
}),
)
// Regression: read tool results must stay structured so base64 media data is
// not JSON-stringified into `tool_result.content`.
it.effect("lowers media tool-result content as structured blocks", () =>
@@ -445,34 +381,6 @@ describe("Anthropic Messages route", () => {
}),
)
it.effect("round-trips redacted thinking as redacted_thinking blocks", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model,
messages: [
Message.assistant([
{ type: "reasoning", text: "", providerMetadata: { anthropic: { redactedData: "opaque_1" } } },
{ type: "reasoning", text: "visible", providerMetadata: { anthropic: { signature: "sig_1" } } },
]),
],
}),
)
expect(prepared.body).toMatchObject({
messages: [
{
role: "assistant",
content: [
{ type: "redacted_thinking", data: "opaque_1" },
{ type: "thinking", thinking: "visible", signature: "sig_1" },
],
},
],
})
}),
)
it.effect("parses text, reasoning, and usage stream fixtures", () =>
Effect.gen(function* () {
const body = sseEvents(
@@ -512,149 +420,12 @@ describe("Anthropic Messages route", () => {
])
expect(response.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "stop", raw: "end_turn" },
reason: "stop",
providerMetadata: { anthropic: { stopSequence: "\n\nHuman:" } },
})
}),
)
it.effect("parses redacted thinking into empty reasoning with redactedData metadata", () =>
Effect.gen(function* () {
const body = sseEvents(
{ type: "message_start", message: { usage: { input_tokens: 5 } } },
{ type: "content_block_start", index: 0, content_block: { type: "redacted_thinking", data: "opaque_1" } },
{ type: "content_block_stop", index: 0 },
{ type: "content_block_start", index: 1, content_block: { type: "text", text: "" } },
{ type: "content_block_delta", index: 1, delta: { type: "text_delta", text: "Hello" } },
{ type: "content_block_stop", index: 1 },
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 2 } },
{ type: "message_stop" },
)
const response = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)))
expect(response.events.find((event) => event.type === "reasoning-start")).toMatchObject({
providerMetadata: { anthropic: { redactedData: "opaque_1" } },
})
expect(response.message.content).toEqual([
{ type: "reasoning", text: "", providerMetadata: { anthropic: { redactedData: "opaque_1" } } },
{ type: "text", text: "Hello" },
])
}),
)
it.effect("round-trips streamed redacted thinking with tool use into a continuation request", () =>
Effect.gen(function* () {
// Anthropic types `redacted_thinking.data` as an opaque string. Its
// contents are provider-owned and must be replayed without inspection.
const redactedData = "cmVkYWN0ZWQtdGhpbmtpbmc="
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
}),
).pipe(
Effect.provide(
fixedResponse(
sseEvents(
{ type: "message_start", message: { usage: { input_tokens: 5 } } },
{
type: "content_block_start",
index: 0,
content_block: { type: "redacted_thinking", data: redactedData },
},
{ type: "content_block_stop", index: 0 },
{
type: "content_block_start",
index: 1,
content_block: { type: "tool_use", id: "call_1", name: "lookup" },
},
{
type: "content_block_delta",
index: 1,
delta: { type: "input_json_delta", partial_json: '{"query":"weather"}' },
},
{ type: "content_block_stop", index: 1 },
{ type: "message_delta", delta: { stop_reason: "tool_use" }, usage: { output_tokens: 1 } },
{ type: "message_stop" },
),
),
),
)
const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
LLM.request({
model,
messages: [
Message.user("Say hello."),
response.message,
Message.tool({ id: "call_1", name: "lookup", result: "sunny", resultType: "text" }),
],
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
cache: "none",
}),
)
expect(prepared.body.messages).toEqual([
{ role: "user", content: [{ type: "text", text: "Say hello." }] },
{
role: "assistant",
content: [
{ type: "redacted_thinking", data: redactedData },
{ type: "tool_use", id: "call_1", name: "lookup", input: { query: "weather" } },
],
},
{
role: "user",
content: [
{
type: "tool_result",
tool_use_id: "call_1",
content: "sunny",
is_error: undefined,
cache_control: undefined,
},
],
},
])
}),
)
it.effect("maps context-window truncation to length", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents(
{ type: "message_start", message: { usage: { input_tokens: 5 } } },
{
type: "message_delta",
delta: { stop_reason: "model_context_window_exceeded" },
usage: { output_tokens: 1 },
},
),
),
),
)
expect(response.finishReason).toEqual({ normalized: "length", raw: "model_context_window_exceeded" })
}),
)
it.effect("preserves pause_turn while normalizing it to stop", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(
sseEvents(
{ type: "message_start", message: { usage: { input_tokens: 5 } } },
{ type: "message_delta", delta: { stop_reason: "pause_turn" }, usage: { output_tokens: 1 } },
),
),
),
)
expect(response.finishReason).toEqual({ normalized: "stop", raw: "pause_turn" })
}),
)
it.effect("assembles streamed tool call input", () =>
Effect.gen(function* () {
const body = sseEvents(
@@ -666,8 +437,8 @@ describe("Anthropic Messages route", () => {
{ type: "message_delta", delta: { stop_reason: "tool_use" }, usage: { output_tokens: 1 } },
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
const usage = new Usage({
@@ -704,16 +475,10 @@ describe("Anthropic Messages route", () => {
providerExecuted: undefined,
providerMetadata: undefined,
},
{
type: "step-finish",
index: 0,
reason: { normalized: "tool-calls", raw: "tool_use" },
usage,
providerMetadata: undefined,
},
{ type: "step-finish", index: 0, reason: "tool-calls", usage, providerMetadata: undefined },
{
type: "finish",
reason: { normalized: "tool-calls", raw: "tool_use" },
reason: "tool-calls",
providerMetadata: undefined,
usage,
},
@@ -851,10 +616,8 @@ describe("Anthropic Messages route", () => {
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 8 } },
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [
ToolDefinition.make({ name: "web_search", description: "Web search", inputSchema: { type: "object" } }),
],
LLM.updateRequest(request, {
tools: [{ name: "web_search", description: "Web search", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -873,20 +636,10 @@ describe("Anthropic Messages route", () => {
name: "web_search",
result: { type: "json", value: [{ type: "web_search_result", url: "https://example.com", title: "Example" }] },
providerExecuted: true,
// The complete payload rides in provider metadata as irreducible replay
// state for later stateless requests.
providerMetadata: {
anthropic: {
blockType: "web_search_tool_result",
result: [{ type: "web_search_result", url: "https://example.com", title: "Example" }],
},
},
providerMetadata: { anthropic: { blockType: "web_search_tool_result" } },
})
expect(response.text).toBe("Found it.")
expect(response.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "stop", raw: "end_turn" },
})
expect(response.events.at(-1)).toMatchObject({ type: "finish", reason: "stop" })
}),
)
@@ -914,10 +667,8 @@ describe("Anthropic Messages route", () => {
{ type: "message_delta", delta: { stop_reason: "end_turn" }, usage: { output_tokens: 1 } },
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [
ToolDefinition.make({ name: "web_search", description: "Web search", inputSchema: { type: "object" } }),
],
LLM.updateRequest(request, {
tools: [{ name: "web_search", description: "Web search", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -1033,10 +784,7 @@ describe("Anthropic Messages route", () => {
content: [
{ type: "text", text: "What is in this image?" },
{ type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
{
type: "document",
source: { type: "base64", media_type: "application/pdf", data: "JVBERi0xLjQ=" },
},
{ type: "document", source: { type: "base64", media_type: "application/pdf", data: "JVBERi0xLjQ=" } },
],
},
],
@@ -2,16 +2,7 @@ import { EventStreamCodec } from "@smithy/eventstream-codec"
import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import {
CacheHint,
GenerationOptions,
LLM,
LLMRequest,
Message,
ToolCallPart,
ToolChoice,
ToolDefinition,
} from "../../src"
import { CacheHint, LLM, Message, ToolCallPart, ToolChoice } from "../../src"
import { LLMClient } from "../../src/route"
import { AmazonBedrock } from "../../src/providers"
import * as BedrockConverse from "../../src/protocols/bedrock-converse"
@@ -43,26 +34,6 @@ const eventFrame = (type: string, payload: object) =>
body: utf8Encoder.encode(JSON.stringify(payload)),
})
const exceptionFrame = (type: string, payload: object) =>
codec.encode({
headers: {
":message-type": { type: "string", value: "exception" },
":exception-type": { type: "string", value: type },
":content-type": { type: "string", value: "application/json" },
},
body: utf8Encoder.encode(JSON.stringify(payload)),
})
const errorFrame = (code: string, message: string) =>
codec.encode({
headers: {
":message-type": { type: "string", value: "error" },
":error-code": { type: "string", value: code },
":error-message": { type: "string", value: message },
},
body: new Uint8Array(),
})
const concat = (frames: ReadonlyArray<Uint8Array>) => {
const total = frames.reduce((sum, frame) => sum + frame.length, 0)
const out = new Uint8Array(total)
@@ -115,9 +86,7 @@ describe("Bedrock Converse route", () => {
it.effect("passes topK through additionalModelRequestFields as top_k", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
LLMRequest.update(baseRequest, {
generation: GenerationOptions.make({ maxTokens: 64, temperature: 0, topK: 40 }),
}),
LLM.updateRequest(baseRequest, { generation: { maxTokens: 64, temperature: 0, topK: 40 } }),
)
// Converse's inferenceConfig has no topK; Anthropic/Nova read it from
@@ -154,13 +123,13 @@ describe("Bedrock Converse route", () => {
it.effect("prepares tool config with toolSpec and toolChoice", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLMRequest.update(baseRequest, {
LLM.updateRequest(baseRequest, {
tools: [
ToolDefinition.make({
{
name: "lookup",
description: "Lookup data",
inputSchema: { type: "object", properties: { query: { type: "string" } }, required: ["query"] },
}),
},
],
toolChoice: ToolChoice.make({ type: "required" }),
}),
@@ -185,36 +154,6 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("keeps tools and omits the unsupported choice when tool choice is none", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLMRequest.update(baseRequest, {
tools: [
ToolDefinition.make({
name: "lookup",
description: "Lookup data",
inputSchema: { type: "object", properties: { query: { type: "string" } } },
}),
],
toolChoice: ToolChoice.make({ type: "none" }),
}),
)
expect(prepared.body.toolConfig).toMatchObject({
tools: [
{
toolSpec: {
name: "lookup",
description: "Lookup data",
inputSchema: { json: { type: "object", properties: { query: { type: "string" } } } },
},
},
],
})
expect(prepared.body.toolConfig?.toolChoice).toBeUndefined()
}),
)
it.effect("lowers assistant tool-call + tool-result message history", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
@@ -321,10 +260,7 @@ describe("Bedrock Converse route", () => {
// `metadata` (carries usage). We consolidate them into a single
// terminal `finish` event with both.
expect(finishes).toHaveLength(1)
expect(finishes[0]).toMatchObject({
type: "finish",
reason: { normalized: "stop", raw: "end_turn" },
})
expect(finishes[0]).toMatchObject({ type: "finish", reason: "stop" })
expect(response.usage).toMatchObject({
inputTokens: 5,
outputTokens: 2,
@@ -333,23 +269,6 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("maps truncation and malformed output stop reasons", () =>
Effect.gen(function* () {
const reasons = [
["model_context_window_exceeded", "length"],
["malformed_model_output", "error"],
["malformed_tool_use", "error"],
] as const
for (const [raw, normalized] of reasons) {
const response = yield* LLMClient.generate(baseRequest).pipe(
Effect.provide(fixedBytes(eventStreamBody(["messageStop", { stopReason: raw }]))),
)
expect(response.finishReason).toEqual({ normalized, raw })
}
}),
)
it.effect("adds cache reads and writes to Bedrock input usage", () =>
Effect.gen(function* () {
const body = eventStreamBody(
@@ -383,19 +302,6 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("preserves usage across later metadata events without usage", () =>
Effect.gen(function* () {
const body = eventStreamBody(
["messageStop", { stopReason: "end_turn" }],
["metadata", { usage: { inputTokens: 5, outputTokens: 2, totalTokens: 7 } }],
["metadata", { metrics: { latencyMs: 100 } }],
)
const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
expect(response.usage).toMatchObject({ inputTokens: 5, outputTokens: 2, totalTokens: 7 })
}),
)
it.effect("assembles streamed tool call input", () =>
Effect.gen(function* () {
const body = eventStreamBody(
@@ -413,8 +319,8 @@ describe("Bedrock Converse route", () => {
["messageStop", { stopReason: "tool_use" }],
)
const response = yield* LLMClient.generate(
LLMRequest.update(baseRequest, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup", inputSchema: { type: "object" } })],
LLM.updateRequest(baseRequest, {
tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedBytes(body)))
@@ -426,10 +332,7 @@ describe("Bedrock Converse route", () => {
{ type: "tool-input-delta", id: "tool_1", name: "lookup", text: '{"query"' },
{ type: "tool-input-delta", id: "tool_1", name: "lookup", text: ':"weather"}' },
])
expect(response.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "tool-calls", raw: "tool_use" },
})
expect(response.events.at(-1)).toMatchObject({ type: "finish", reason: "tool-calls" })
}),
)
@@ -455,7 +358,7 @@ describe("Bedrock Converse route", () => {
name: "lookup",
raw: '{"query":"partial',
})
expect(response.finishReason).toEqual({ normalized: "tool-calls", raw: "end_turn" })
expect(response.finishReason).toBe("tool-calls")
}),
)
@@ -511,170 +414,12 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("preserves reasoning signatures when contentBlockStop is missing", () =>
Effect.gen(function* () {
const response = yield* LLMClient.generate(baseRequest).pipe(
Effect.provide(
fixedBytes(
eventStreamBody(
["messageStart", { role: "assistant" }],
[
"contentBlockDelta",
{ contentBlockIndex: 0, delta: { reasoningContent: { text: "Let me think." } } },
],
[
"contentBlockDelta",
{ contentBlockIndex: 0, delta: { reasoningContent: { signature: "sig_1" } } },
],
["messageStop", { stopReason: "end_turn" }],
),
),
),
)
expect(response.events.find((event) => event.type === "reasoning-delta" && event.text === "")).toEqual({
type: "reasoning-delta",
id: "reasoning-0",
text: "",
providerMetadata: { bedrock: { signature: "sig_1" } },
})
expect(response.message.content).toEqual([
{
type: "reasoning",
text: "Let me think.",
providerMetadata: { bedrock: { signature: "sig_1" } },
},
])
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
LLM.request({ model, messages: [response.message], cache: "none" }),
)
expect(prepared.body.messages).toEqual([
{
role: "assistant",
content: [{ reasoningContent: { reasoningText: { text: "Let me think.", signature: "sig_1" } } }],
},
])
}),
)
it.effect("preserves signature-only reasoning blocks", () =>
Effect.gen(function* () {
const body = eventStreamBody(
["messageStart", { role: "assistant" }],
[
"contentBlockDelta",
{ contentBlockIndex: 0, delta: { reasoningContent: { signature: "sig_1" } } },
],
["contentBlockStop", { contentBlockIndex: 0 }],
["messageStop", { stopReason: "end_turn" }],
)
const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
expect(response.message.content).toEqual([
{ type: "reasoning", text: "", providerMetadata: { bedrock: { signature: "sig_1" } } },
])
}),
)
it.effect("accepts Vercel-compatible redacted reasoning data deltas", () =>
Effect.gen(function* () {
const redactedData = "cmVkYWN0ZWQtdGhpbmtpbmc="
const body = eventStreamBody(
["messageStart", { role: "assistant" }],
["contentBlockDelta", { contentBlockIndex: 0, delta: { reasoningContent: { data: redactedData } } }],
["contentBlockStop", { contentBlockIndex: 0 }],
["messageStop", { stopReason: "end_turn" }],
)
const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
expect(response.events.find((event) => event.type === "reasoning-delta" && event.text === "")).toEqual({
type: "reasoning-delta",
id: "reasoning-0",
text: "",
providerMetadata: { bedrock: { redactedData } },
})
expect(response.message.content).toEqual([
{ type: "reasoning", text: "", providerMetadata: { bedrock: { redactedData } } },
])
}),
)
it.effect("round-trips streamed redacted reasoning with tool use into a continuation request", () =>
Effect.gen(function* () {
// Bedrock represents redactedContent blobs as base64 strings on its JSON
// wire. The provider owns the payload and requires byte-exact replay.
const redactedData = "cmVkYWN0ZWQtdGhpbmtpbmc="
const response = yield* LLMClient.generate(
LLMRequest.update(baseRequest, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
}),
).pipe(
Effect.provide(
fixedBytes(
eventStreamBody(
["messageStart", { role: "assistant" }],
[
"contentBlockDelta",
{ contentBlockIndex: 0, delta: { reasoningContent: { redactedContent: redactedData } } },
],
["contentBlockStop", { contentBlockIndex: 0 }],
[
"contentBlockStart",
{
contentBlockIndex: 1,
start: { toolUse: { toolUseId: "tool_1", name: "lookup" } },
},
],
["contentBlockDelta", { contentBlockIndex: 1, delta: { toolUse: { input: '{"query":"weather"}' } } }],
["contentBlockStop", { contentBlockIndex: 1 }],
["messageStop", { stopReason: "tool_use" }],
),
),
),
)
expect(response.events.find((event) => event.type === "reasoning-delta" && event.text === "")).toEqual({
type: "reasoning-delta",
id: "reasoning-0",
text: "",
providerMetadata: { bedrock: { redactedData } },
})
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
LLM.request({
model,
messages: [
Message.user("Say hello."),
response.message,
Message.tool({ id: "tool_1", name: "lookup", result: "sunny", resultType: "text" }),
],
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
cache: "none",
}),
)
expect(prepared.body.messages).toEqual([
{ role: "user", content: [{ text: "Say hello." }] },
{
role: "assistant",
content: [
{ reasoningContent: { redactedContent: redactedData } },
{ toolUse: { toolUseId: "tool_1", name: "lookup", input: { query: "weather" } } },
],
},
{
role: "user",
content: [{ toolResult: { toolUseId: "tool_1", content: [{ text: "sunny" }], status: "success" } }],
},
])
}),
)
it.effect("classifies throttlingException as a rate limit", () =>
Effect.gen(function* () {
const body = concat([
eventFrame("messageStart", { role: "assistant" }),
exceptionFrame("throttlingException", { message: "Slow down" }),
])
const body = eventStreamBody(
["messageStart", { role: "assistant" }],
["throttlingException", { message: "Slow down" }],
)
const error = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)), Effect.flip)
expect(error.reason).toMatchObject({ _tag: "RateLimit", message: "Slow down" })
@@ -685,7 +430,7 @@ describe("Bedrock Converse route", () => {
Effect.gen(function* () {
const error = yield* LLMClient.generate(baseRequest).pipe(
Effect.provide(
fixedBytes(exceptionFrame("validationException", { message: "Input is too long for requested model" })),
fixedBytes(eventStreamBody(["validationException", { message: "Input is too long for requested model" }])),
),
Effect.flip,
)
@@ -698,44 +443,12 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("uses originalMessage from model stream exception frames", () =>
Effect.gen(function* () {
const error = yield* LLMClient.generate(baseRequest).pipe(
Effect.provide(
fixedBytes(
exceptionFrame("modelStreamErrorException", {
originalMessage: "Upstream model failed",
originalStatusCode: 500,
}),
),
),
Effect.flip,
)
expect(error.reason).toMatchObject({ _tag: "ProviderInternal", message: "Upstream model failed" })
}),
)
it.effect("fails unmodeled AWS event-stream errors", () =>
Effect.gen(function* () {
const error = yield* LLMClient.generate(baseRequest).pipe(
Effect.provide(fixedBytes(errorFrame("BadStream", "Stream failed"))),
Effect.flip,
)
expect(error.reason).toMatchObject({
_tag: "InvalidProviderOutput",
message: "BadStream: Stream failed",
})
}),
)
it.effect("rejects requests with no auth path", () =>
Effect.gen(function* () {
const unsignedModel = AmazonBedrock.configure({
baseURL: "https://bedrock-runtime.test",
}).model("anthropic.claude-3-5-sonnet-20240620-v1:0")
const error = yield* LLMClient.generate(LLMRequest.update(baseRequest, { model: unsignedModel })).pipe(
const error = yield* LLMClient.generate(LLM.updateRequest(baseRequest, { model: unsignedModel })).pipe(
Effect.provide(fixedBytes(eventStreamBody(["messageStop", { stopReason: "end_turn" }]))),
Effect.flip,
)
@@ -754,7 +467,7 @@ describe("Bedrock Converse route", () => {
secretAccessKey: "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
},
}).model("anthropic.claude-3-5-sonnet-20240620-v1:0")
const prepared = yield* LLMClient.prepare(LLMRequest.update(baseRequest, { model: signed }))
const prepared = yield* LLMClient.prepare(LLM.updateRequest(baseRequest, { model: signed }))
expect(prepared.route).toBe("bedrock-converse")
expect(prepared.model).toBe(signed)
+18 -88
View File
@@ -1,6 +1,6 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, LLMError, LLMRequest, Message, ToolCallPart, ToolDefinition, Usage } from "../../src"
import { LLM, LLMError, Message, ToolCallPart, Usage } from "../../src"
import { Auth, LLMClient } from "../../src/route"
import * as Gemini from "../../src/protocols/gemini"
import { ProviderShared } from "../../src/protocols/shared"
@@ -36,27 +36,6 @@ describe("Gemini route", () => {
}),
)
it.effect("normalizes Gemini thinking options", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
LLMRequest.update(request, {
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: 0, includeThoughts: false } } },
}),
)
const filtered = yield* LLMClient.prepare<Gemini.GeminiBody>(
LLMRequest.update(request, {
providerOptions: { gemini: { thinkingConfig: { thinkingBudget: "invalid", includeThoughts: false } } },
}),
)
expect(prepared.body.generationConfig?.thinkingConfig).toEqual({
thinkingBudget: 0,
includeThoughts: false,
})
expect(filtered.body.generationConfig?.thinkingConfig).toEqual({ includeThoughts: false })
}),
)
it.effect("lowers chronological system updates to wrapped user text in order", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
@@ -254,22 +233,20 @@ describe("Gemini route", () => {
}),
)
it.effect("keeps tools and sends function calling mode NONE", () =>
it.effect("omits tools when tool choice is none", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
id: "req_tool_choice_none",
id: "req_no_tools",
model,
prompt: "Say hello.",
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
toolChoice: { type: "none" },
}),
)
expect(prepared.body).toMatchObject({
expect(prepared.body).toEqual({
contents: [{ role: "user", parts: [{ text: "Say hello." }] }],
tools: [{ functionDeclarations: [{ name: "lookup", description: "Lookup data" }] }],
toolConfig: { functionCallingConfig: { mode: "NONE" } },
})
}),
)
@@ -394,16 +371,10 @@ describe("Gemini route", () => {
{ type: "text-delta", id: "text-0", text: "Hello" },
{ type: "text-delta", id: "text-0", text: "!" },
{ type: "text-end", id: "text-0" },
{
type: "step-finish",
index: 0,
reason: { normalized: "stop", raw: "STOP" },
usage,
providerMetadata: undefined,
},
{ type: "step-finish", index: 0, reason: "stop", usage, providerMetadata: undefined },
{
type: "finish",
reason: { normalized: "stop", raw: "STOP" },
reason: "stop",
usage,
},
])
@@ -431,8 +402,8 @@ describe("Gemini route", () => {
],
})
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
const reasoning = response.events.find((event) => event.type === "reasoning-start")
@@ -522,8 +493,8 @@ describe("Gemini route", () => {
usageMetadata: { promptTokenCount: 5, candidatesTokenCount: 1 },
})
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
const usage = new Usage({
@@ -556,16 +527,10 @@ describe("Gemini route", () => {
providerExecuted: undefined,
providerMetadata: undefined,
},
{
type: "step-finish",
index: 0,
reason: { normalized: "tool-calls", raw: "STOP" },
usage,
providerMetadata: undefined,
},
{ type: "step-finish", index: 0, reason: "tool-calls", usage, providerMetadata: undefined },
{
type: "finish",
reason: { normalized: "tool-calls", raw: "STOP" },
reason: "tool-calls",
usage,
},
])
@@ -589,8 +554,8 @@ describe("Gemini route", () => {
],
})
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -604,10 +569,7 @@ describe("Gemini route", () => {
},
{ type: "tool-call", id: "tool_1", name: "lookup", input: { query: "news" } },
])
expect(response.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "tool-calls", raw: "STOP" },
})
expect(response.events.at(-1)).toMatchObject({ type: "finish", reason: "tool-calls" })
}),
)
@@ -627,41 +589,9 @@ describe("Gemini route", () => {
)
expect(length.events.map((event) => event.type)).toEqual(["step-start", "step-finish", "finish"])
expect(length.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "length", raw: "MAX_TOKENS" },
})
expect(length.events.at(-1)).toMatchObject({ type: "finish", reason: "length" })
expect(filtered.events.map((event) => event.type)).toEqual(["step-start", "step-finish", "finish"])
expect(filtered.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "content-filter", raw: "SAFETY" },
})
}),
)
it.effect("maps current blocking and invalid-output finish reasons", () =>
Effect.gen(function* () {
const reasons = [
["MODEL_ARMOR", "content-filter"],
["IMAGE_PROHIBITED_CONTENT", "content-filter"],
["IMAGE_RECITATION", "content-filter"],
["LANGUAGE", "content-filter"],
["UNEXPECTED_TOOL_CALL", "error"],
["NO_IMAGE", "error"],
["IMAGE_OTHER", "unknown"],
["TOO_MANY_TOOL_CALLS", "error"],
["MISSING_THOUGHT_SIGNATURE", "error"],
["MALFORMED_RESPONSE", "error"],
] as const
for (const [raw, normalized] of reasons) {
const response = yield* LLMClient.generate(request).pipe(
Effect.provide(
fixedResponse(sseEvents({ candidates: [{ content: { role: "model", parts: [] }, finishReason: raw }] })),
),
)
expect(response.finishReason).toEqual({ normalized, raw })
}
expect(filtered.events.at(-1)).toMatchObject({ type: "finish", reason: "content-filter" })
}),
)
+26 -47
View File
@@ -1,18 +1,7 @@
import { describe, expect } from "bun:test"
import { Effect, Schema, Stream } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import {
HttpOptions,
LLM,
LLMError,
LLMEvent,
LLMRequest,
Message,
Model,
ToolCallPart,
ToolDefinition,
Usage,
} from "../../src"
import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, Usage } from "../../src"
import * as Azure from "../../src/providers/azure"
import * as OpenAI from "../../src/providers/openai"
import * as OpenAIChat from "../../src/protocols/openai-chat"
@@ -173,7 +162,7 @@ describe("OpenAI Chat route", () => {
it.effect("adds native query params to the Chat Completions URL", () =>
LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: Model.update(model, { route: model.route.with({ endpoint: { query: { "api-version": "v1" } } }) }),
}),
).pipe(
@@ -193,7 +182,7 @@ describe("OpenAI Chat route", () => {
it.effect("uses Azure api-key header for static OpenAI Chat keys", () =>
LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: Azure.configure({
baseURL: "https://opencode-test.openai.azure.com/openai/v1/",
apiKey: "azure-key",
@@ -219,15 +208,15 @@ describe("OpenAI Chat route", () => {
it.effect("applies serializable HTTP overlays after payload lowering", () =>
LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: model.route
.with({ auth: Auth.bearer("fresh-key"), headers: { authorization: "Bearer stale" } })
.model({ id: model.id }),
http: HttpOptions.make({
http: {
body: { metadata: { source: "test" } },
headers: { authorization: "Bearer request", "x-custom": "yes" },
query: { debug: "1" },
}),
},
}),
).pipe(
Effect.provide(
@@ -580,16 +569,10 @@ describe("OpenAI Chat route", () => {
{ type: "text-delta", id: "text-0", text: "Hello" },
{ type: "text-delta", id: "text-0", text: "!" },
{ type: "text-end", id: "text-0" },
{
type: "step-finish",
index: 0,
reason: { normalized: "stop", raw: "stop" },
usage,
providerMetadata: undefined,
},
{ type: "step-finish", index: 0, reason: "stop", usage, providerMetadata: undefined },
{
type: "finish",
reason: { normalized: "stop", raw: "stop" },
reason: "stop",
usage,
},
])
@@ -629,7 +612,7 @@ describe("OpenAI Chat route", () => {
it.effect("parses and replays a configured custom reasoning field", () =>
Effect.gen(function* () {
const custom = Model.update(model, { compatibility: { reasoningField: "vendor_reasoning" } })
const response = yield* LLMClient.generate(LLMRequest.update(request, { model: custom })).pipe(
const response = yield* LLMClient.generate(LLM.updateRequest(request, { model: custom })).pipe(
Effect.provide(
fixedResponse(
sseEvents(
@@ -649,7 +632,9 @@ describe("OpenAI Chat route", () => {
const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
LLM.request({ model: custom, messages: [response.message] }),
)
expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", vendor_reasoning: "thinking" }])
expect(replay.body.messages).toEqual([
{ role: "assistant", content: "Hello", vendor_reasoning: "thinking" },
])
}),
)
@@ -660,8 +645,8 @@ describe("OpenAI Chat route", () => {
{ type: "reasoning.encrypted", data: "opaque", format: "anthropic-claude-v1", index: 1 },
]
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(
Effect.provide(
@@ -1033,8 +1018,8 @@ describe("OpenAI Chat route", () => {
deltaChunk({}, "tool_calls"),
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -1052,14 +1037,8 @@ describe("OpenAI Chat route", () => {
providerExecuted: undefined,
providerMetadata: undefined,
},
{
type: "step-finish",
index: 0,
reason: { normalized: "tool-calls", raw: "tool_calls" },
usage: undefined,
providerMetadata: undefined,
},
{ type: "finish", reason: { normalized: "tool-calls", raw: "tool_calls" }, usage: undefined },
{ type: "step-finish", index: 0, reason: "tool-calls", usage: undefined, providerMetadata: undefined },
{ type: "finish", reason: "tool-calls", usage: undefined },
])
}),
)
@@ -1076,8 +1055,8 @@ describe("OpenAI Chat route", () => {
deltaChunk({}, "tool_calls"),
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -1098,8 +1077,8 @@ describe("OpenAI Chat route", () => {
deltaChunk({}, "tool_calls"),
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -1116,8 +1095,8 @@ describe("OpenAI Chat route", () => {
deltaChunk({}, "tool_calls"),
)
const error = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)), Effect.flip)
@@ -1134,8 +1113,8 @@ describe("OpenAI Chat route", () => {
}),
deltaChunk({ tool_calls: [{ index: 0, function: { arguments: ':"weather"}' } }] }),
)
const input = LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
const input = LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
})
const events: LLMEvent[] = []
const streamError = yield* LLMClient.stream(input).pipe(
@@ -1,7 +1,7 @@
import { describe, expect } from "bun:test"
import { Effect, Schema } from "effect"
import { HttpClientRequest } from "effect/unstable/http"
import { LLM, LLMRequest, Message, ToolCallPart, ToolChoice, ToolDefinition } from "../../src"
import { LLM, Message, ToolCallPart } from "../../src"
import { Auth, LLMClient } from "../../src/route"
import * as OpenAICompatible from "../../src/providers/openai-compatible"
import * as OpenAICompatibleChat from "../../src/protocols/openai-compatible-chat"
@@ -53,9 +53,9 @@ describe("OpenAI-compatible Chat route", () => {
it.effect("prepares generic Chat target", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
toolChoice: ToolChoice.make({ type: "required" }),
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
toolChoice: { type: "required" },
}),
)
@@ -232,10 +232,7 @@ describe("OpenAI-compatible Chat route", () => {
expect(response.text).toBe("Hello!")
expect(response.usage).toMatchObject({ inputTokens: 5, outputTokens: 2, totalTokens: 7 })
expect(response.events.at(-1)).toMatchObject({
type: "finish",
reason: { normalized: "stop", raw: "stop" },
})
expect(response.events.at(-1)).toMatchObject({ type: "finish", reason: "stop" })
}),
)
})
@@ -1,22 +1,17 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, LLMEvent } from "../../src"
import { LLM } from "../../src"
import { configure } from "../../src/providers/openai-compatible-responses"
import { OpenAI } from "../../src/providers"
import { OpenResponses } from "../../src/protocols/open-responses"
import { OpenAICompatibleResponses } from "../../src/protocols/openai-compatible-responses"
import { OpenAIResponses } from "../../src/protocols/openai-responses"
import { LLMClient } from "../../src/route"
import { it } from "../lib/effect"
import { fixedResponse } from "../lib/http"
import { sseEvents } from "../lib/sse"
describe("Open Responses-compatible route", () => {
it.effect("uses the Open Responses baseline for a configured deployment", () =>
describe("OpenAI-compatible Responses route", () => {
it.effect("reuses the OpenAI Responses protocol for a configured deployment", () =>
Effect.gen(function* () {
expect(OpenAICompatibleResponses.route.body).toBe(OpenResponses.protocol.body)
expect(OpenAICompatibleResponses.route.transport).toBe(OpenResponses.httpTransport)
expect(OpenAICompatibleResponses.route.body).not.toBe(OpenAIResponses.protocol.body)
expect(OpenAICompatibleResponses.route.body).toBe(OpenAIResponses.protocol.body)
expect(OpenAICompatibleResponses.route.transport).toBe(OpenAIResponses.httpTransport)
const model = configure({
apiKey: "test-key",
@@ -32,7 +27,7 @@ describe("Open Responses-compatible route", () => {
)
expect(prepared.route).toBe("openai-compatible-responses")
expect(prepared.protocol).toBe("open-responses")
expect(prepared.protocol).toBe("openai-responses")
expect(prepared.model).toMatchObject({
id: "example-model",
provider: "example",
@@ -50,67 +45,9 @@ describe("Open Responses-compatible route", () => {
{ role: "system", content: "You are concise." },
{ role: "user", content: [{ type: "input_text", text: "Say hello." }] },
],
store: false,
stream: true,
})
}),
)
it.effect("rejects OpenAI-native tools", () =>
Effect.gen(function* () {
const model = configure({
apiKey: "test-key",
baseURL: "https://responses.example.test/v1",
}).model("example-model")
const error = yield* LLMClient.prepare(
LLM.request({ model, prompt: "Draw.", tools: [OpenAI.imageGeneration()] }),
).pipe(Effect.flip)
expect(error.reason._tag).toBe("InvalidRequest")
expect(error.message).toContain("Open Responses does not support provider-native tool image_generation")
}),
)
it.effect("reads standard options from the Open Responses namespace", () =>
Effect.gen(function* () {
const model = configure({
apiKey: "test-key",
baseURL: "https://responses.example.test/v1",
providerOptions: { openresponses: { reasoningEffort: "low", store: true } },
}).model("example-model")
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Think." }))
expect(prepared.body).toMatchObject({
reasoning: { effort: "low" },
store: true,
})
}),
)
it.effect("does not interpret OpenAI hosted-tool items", () =>
Effect.gen(function* () {
const model = configure({
apiKey: "test-key",
baseURL: "https://responses.example.test/v1",
provider: "example",
}).model("example-model")
const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Search." })).pipe(
Effect.provide(
fixedResponse(
sseEvents(
{
type: "response.output_item.done",
item: { type: "web_search_call", id: "ws_1", status: "completed", action: { query: "news" } },
},
{ type: "response.completed", response: { id: "resp_1" } },
),
),
),
)
expect(response.toolCalls).toEqual([])
expect(response.events.find(LLMEvent.is.finish)).toMatchObject({
providerMetadata: { openresponses: { responseId: "resp_1" } },
})
}),
)
})
@@ -1,18 +1,7 @@
import { describe, expect } from "bun:test"
import { ConfigProvider, Effect, Layer, Stream } from "effect"
import { Headers, HttpClientRequest } from "effect/unstable/http"
import {
LLM,
LLMError,
LLMEvent,
LLMRequest,
Message,
Model,
ToolCallPart,
ToolDefinition,
ToolResultPart,
Usage,
} from "../../src"
import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, ToolResultPart, Usage } from "../../src"
import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
import * as Azure from "../../src/providers/azure"
import * as OpenAI from "../../src/providers/openai"
@@ -107,7 +96,7 @@ describe("OpenAI Responses route", () => {
it.effect("lowers semantic service tier options", () =>
Effect.gen(function* () {
const input = LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "priority" } } })
const input = LLM.updateRequest(request, { providerOptions: { openai: { serviceTier: "priority" } } })
expect(input.providerOptions).toEqual({ openai: { serviceTier: "priority" } })
const prepared = yield* LLMClient.prepare(input)
@@ -119,7 +108,7 @@ describe("OpenAI Responses route", () => {
it.effect("passes through custom OpenAI reasoning effort strings", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
LLMRequest.update(request, { providerOptions: { openai: { reasoningEffort: "experimental" } } }),
LLM.updateRequest(request, { providerOptions: { openai: { reasoningEffort: "experimental" } } }),
)
expect(prepared.body.reasoning).toEqual({ effort: "experimental" })
@@ -129,7 +118,7 @@ describe("OpenAI Responses route", () => {
it.effect("omits unsupported semantic service tiers", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLMRequest.update(request, { providerOptions: { openai: { serviceTier: "unsupported" } } }),
LLM.updateRequest(request, { providerOptions: { openai: { serviceTier: "unsupported" } } }),
)
expect(prepared.body).not.toHaveProperty("service_tier")
@@ -139,9 +128,9 @@ describe("OpenAI Responses route", () => {
it.effect("flattens top-level object unions in function schemas", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
LLMRequest.update(request, {
LLM.updateRequest(request, {
tools: [
ToolDefinition.make({
{
name: "read",
description: "Read a path or resource.",
inputSchema: {
@@ -163,7 +152,7 @@ describe("OpenAI Responses route", () => {
},
],
},
}),
},
],
}),
)
@@ -218,7 +207,7 @@ describe("OpenAI Responses route", () => {
it.effect("prepares OpenAI Responses WebSocket target", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: OpenAIResponses.webSocketRoute
.with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
.model({ id: "gpt-4.1-mini" }),
@@ -302,7 +291,7 @@ describe("OpenAI Responses route", () => {
it.effect("adds native query params to the Responses URL", () =>
Effect.gen(function* () {
yield* LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: Model.update(model, { route: model.route.with({ endpoint: { query: { "api-version": "v1" } } }) }),
}),
).pipe(
@@ -324,7 +313,7 @@ describe("OpenAI Responses route", () => {
it.effect("uses Azure api-key header for static OpenAI Responses keys", () =>
Effect.gen(function* () {
yield* LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: Azure.configure({
baseURL: "https://opencode-test.openai.azure.com/openai/v1/",
apiKey: "azure-key",
@@ -351,7 +340,7 @@ describe("OpenAI Responses route", () => {
it.effect("loads OpenAI default auth from Effect Config", () =>
LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/" }).responses("gpt-4.1-mini"),
}),
).pipe(
@@ -372,7 +361,7 @@ describe("OpenAI Responses route", () => {
it.effect("lets explicit auth override OpenAI default API key auth", () =>
LLMClient.generate(
LLMRequest.update(request, {
LLM.updateRequest(request, {
model: OpenAI.configure({
baseURL: "https://api.openai.test/v1/",
auth: Auth.bearer("oauth-token"),
@@ -867,13 +856,13 @@ describe("OpenAI Responses route", () => {
{
type: "step-finish",
index: 0,
reason: { normalized: "stop", raw: undefined },
reason: "stop",
providerMetadata: { openai: { responseId: "resp_1", serviceTier: "default" } },
usage,
},
{
type: "finish",
reason: { normalized: "stop", raw: undefined },
reason: "stop",
providerMetadata: { openai: { responseId: "resp_1", serviceTier: "default" } },
usage,
},
@@ -898,13 +887,11 @@ describe("OpenAI Responses route", () => {
const length = yield* generate({ reason: "max_output_tokens" })
const contentFilter = yield* generate({ reason: "content_filter" })
const unknown = yield* generate({})
const custom = yield* generate({ reason: "provider_limit" })
expect([length.finishReason, contentFilter.finishReason, unknown.finishReason, custom.finishReason]).toEqual([
{ normalized: "length", raw: "max_output_tokens" },
{ normalized: "content-filter", raw: "content_filter" },
{ normalized: "unknown", raw: undefined },
{ normalized: "unknown", raw: "provider_limit" },
expect([length.finishReason, contentFilter.finishReason, unknown.finishReason]).toEqual([
"length",
"content-filter",
"unknown",
])
}),
)
@@ -959,8 +946,8 @@ describe("OpenAI Responses route", () => {
{ type: "text-delta", id: "msg_1", text: "Hello" },
{ type: "reasoning-end", id: "rs_1" },
{ type: "text-end", id: "msg_1" },
{ type: "step-finish", index: 0, reason: { normalized: "stop", raw: undefined } },
{ type: "finish", reason: { normalized: "stop", raw: undefined } },
{ type: "step-finish", index: 0, reason: "stop" },
{ type: "finish", reason: "stop" },
])
expect(response.events.filter((event) => event.type === "finish")).toHaveLength(1)
expect(response.message.content).toEqual([
@@ -1005,7 +992,7 @@ 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 } } }),
LLM.updateRequest(request, { providerOptions: { openai: { store: false } } }),
).pipe(
Effect.provide(
fixedResponse(
@@ -1051,8 +1038,8 @@ describe("OpenAI Responses route", () => {
id: "rs_1:1",
providerMetadata: { openai: { itemId: "rs_1", reasoningEncryptedContent: "encrypted-state" } },
},
{ type: "step-finish", index: 0, reason: { normalized: "stop", raw: undefined } },
{ type: "finish", reason: { normalized: "stop", raw: undefined } },
{ type: "step-finish", index: 0, reason: "stop" },
{ type: "finish", reason: "stop" },
])
}),
)
@@ -1060,7 +1047,7 @@ 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 } } }),
LLM.updateRequest(request, { providerOptions: { openai: { store: true } } }),
).pipe(
Effect.provide(
fixedResponse(
@@ -1387,8 +1374,8 @@ describe("OpenAI Responses route", () => {
{ type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
const usage = new Usage({
@@ -1435,16 +1422,10 @@ describe("OpenAI Responses route", () => {
providerExecuted: undefined,
providerMetadata: { openai: { itemId: "item_1" } },
},
{
type: "step-finish",
index: 0,
reason: { normalized: "tool-calls", raw: undefined },
usage,
providerMetadata: undefined,
},
{ type: "step-finish", index: 0, reason: "tool-calls", usage, providerMetadata: undefined },
{
type: "finish",
reason: { normalized: "tool-calls", raw: undefined },
reason: "tool-calls",
providerMetadata: undefined,
usage,
},
@@ -1473,8 +1454,8 @@ describe("OpenAI Responses route", () => {
{ type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
)
const response = yield* LLMClient.generate(
LLMRequest.update(request, {
tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
@@ -1484,7 +1465,7 @@ describe("OpenAI Responses route", () => {
name: "lookup",
raw: '{"query":"partial',
})
expect(response.finishReason.normalized).toBe("tool-calls")
expect(response.finishReason).toBe("tool-calls")
expect(response.events.some(LLMEvent.is.toolCall)).toBeFalse()
}),
)
@@ -1511,7 +1492,7 @@ describe("OpenAI Responses route", () => {
name: "lookup",
raw: '{"query":"partial',
})
expect(response.finishReason.normalized).toBe("tool-calls")
expect(response.finishReason).toBe("tool-calls")
}),
)
@@ -4,8 +4,6 @@ import { LLM, Message } from "../../src"
import { LLMClient } from "../../src/route"
import * as OpenRouter from "../../src/providers/openrouter"
import { it } from "../lib/effect"
import { fixedResponse } from "../lib/http"
import { sseEvents } from "../lib/sse"
describe("OpenRouter", () => {
it.effect("prepares OpenRouter models through the OpenAI-compatible Chat route", () =>
@@ -56,42 +54,6 @@ describe("OpenRouter", () => {
}),
)
it.effect("preserves the upstream provider finish reason", () =>
Effect.gen(function* () {
const model = OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6")
const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
Effect.provide(
fixedResponse(
sseEvents({
choices: [{ delta: { content: "Hello" }, finish_reason: "stop", native_finish_reason: "end_turn" }],
}),
),
),
)
expect(response.finishReason).toEqual({ normalized: "stop", raw: "end_turn" })
}),
)
it.effect("fails on a mid-stream provider error", () =>
Effect.gen(function* () {
const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
const error = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
Effect.provide(
fixedResponse(
sseEvents({
error: { code: 502, message: "Provider disconnected" },
}),
),
),
Effect.flip,
)
expect(error.reason).toMatchObject({ _tag: "ProviderInternal" })
expect(error.message).toContain("Provider disconnected")
}),
)
it.effect("preserves manually supplied reasoning details", () =>
Effect.gen(function* () {
const details = [
@@ -106,7 +106,7 @@ const readPdfRuntime = Tool.make({
})
const expectCode = (response: LLMResponse) => {
expect(response.finishReason.normalized).toBe("stop")
expect(response.finishReason).toBe("stop")
expect(response.text.toUpperCase()).toContain(CODE)
}
@@ -166,7 +166,7 @@ describe("PDF recorded", () => {
tools: { read_pdf: readPdfRuntime },
}).pipe(Stream.runCollect),
)
expect(events.at(-1)).toMatchObject({ type: "finish", reason: { normalized: "stop" } })
expect(events.at(-1)).toMatchObject({ type: "finish", reason: "stop" })
expect(LLMResponse.text({ events }).toUpperCase()).toContain(CODE)
return
}
+10 -8
View File
@@ -3,7 +3,6 @@ import { Effect, Schema } from "effect"
import {
LLM,
LLMEvent,
LLMRequest,
LLMResponse,
Message,
ToolRuntime,
@@ -12,6 +11,7 @@ import {
toDefinitions,
type ContentPart,
type FinishReason,
type LLMRequest,
type Model,
} from "../src"
import { LLMClient } from "../src/route"
@@ -91,7 +91,7 @@ const restroomImage = () =>
export const runWeatherToolLoop = (request: LLMRequest) =>
Effect.gen(function* () {
const tools = { [weatherToolName]: weatherRuntimeTool }
let next = LLMRequest.update(request, { tools: toDefinitions(tools) })
let next = LLM.updateRequest(request, { tools: toDefinitions(tools) })
const events: LLMEvent[] = []
for (let step = 0; step < 10; step++) {
@@ -108,7 +108,7 @@ export const runWeatherToolLoop = (request: LLMRequest) =>
ToolRuntime.dispatch(tools, call).pipe(Effect.map((result) => [call, result] as const)),
)
events.push(...dispatched.flatMap(([, result]) => result.events))
next = LLMRequest.update(next, {
next = LLM.updateRequest(next, {
messages: [
...next.messages,
Message.assistant(assistantContent(response.events)),
@@ -123,8 +123,10 @@ export const runWeatherToolLoop = (request: LLMRequest) =>
const assistantContent = (events: ReadonlyArray<LLMEvent>) =>
events.reduce(LLMResponse.reduce, LLMResponse.empty()).message.content
export const expectFinish = (events: ReadonlyArray<LLMEvent>, reason: FinishReason) =>
expect(events.at(-1)).toMatchObject({ type: "finish", reason: { normalized: reason } })
export const expectFinish = (
events: ReadonlyArray<LLMEvent>,
reason: Extract<LLMEvent, { readonly type: "finish" }>["reason"],
) => expect(events.at(-1)).toMatchObject({ type: "finish", reason })
export const expectWeatherToolCall = (response: LLMResponse) =>
expect(response.toolCalls).toMatchObject([
@@ -134,10 +136,10 @@ export const expectWeatherToolCall = (response: LLMResponse) =>
export const expectWeatherToolLoop = (events: ReadonlyArray<LLMEvent>) => {
const finishes = events.filter(LLMEvent.is.finish)
expect(finishes).toHaveLength(1)
expect(finishes[0]?.reason.normalized).toBe("stop")
expect(finishes[0]?.reason).toBe("stop")
const stepFinishes = events.filter(LLMEvent.is.stepFinish)
expect(stepFinishes.map((event) => event.reason.normalized)).toEqual(["tool-calls", "stop"])
expect(stepFinishes.map((event) => event.reason)).toEqual(["tool-calls", "stop"])
const toolCalls = events.filter(LLMEvent.is.toolCall)
expect(toolCalls).toHaveLength(1)
@@ -501,7 +503,7 @@ export const eventSummary = (events: ReadonlyArray<LLMEvent>) => {
continue
}
if (event.type === "finish") {
summary.push({ type: "finish", reason: event.reason.normalized, usage: usageSummary(event.usage) })
summary.push({ type: "finish", reason: event.reason, usage: usageSummary(event.usage) })
}
}
return summary.map((item) => Object.fromEntries(Object.entries(item).filter((entry) => entry[1] !== undefined)))
+7 -15
View File
@@ -14,11 +14,11 @@ describe("LLMResponse reducer", () => {
LLMEvent.reasoningEnd({ id: "r1", providerMetadata: { anthropic: { signature: "sig" } } }),
LLMEvent.textDelta({ id: "t1", text: "Answer" }),
LLMEvent.textEnd({ id: "t1" }),
LLMEvent.finish({ reason: { normalized: "stop" }, usage: { outputTokens: 5 } }),
LLMEvent.finish({ reason: "stop", usage: { outputTokens: 5 } }),
]
const response = LLMResponse.fromEvents(events)
expect(response?.finishReason).toEqual({ normalized: "stop" })
expect(response?.finishReason).toBe("stop")
expect(response?.usage).toMatchObject({ outputTokens: 5 })
expect(response?.events).toEqual(events)
expect(response?.events.map((event) => event.type)).toEqual([
@@ -62,26 +62,18 @@ describe("LLMResponse reducer", () => {
test("uses terminal usage when present and keeps prior usage when finish omits it", () => {
const withFinishUsage = LLMResponse.fromEvents([
LLMEvent.stepFinish({ index: 0, reason: { normalized: "stop" }, usage: { inputTokens: 3 } }),
LLMEvent.finish({ reason: { normalized: "stop" }, usage: { outputTokens: 2 } }),
LLMEvent.stepFinish({ index: 0, reason: "stop", usage: { inputTokens: 3 } }),
LLMEvent.finish({ reason: "stop", usage: { outputTokens: 2 } }),
])
const withoutFinishUsage = LLMResponse.fromEvents([
LLMEvent.stepFinish({ index: 0, reason: { normalized: "stop" }, usage: { inputTokens: 3 } }),
LLMEvent.finish({ reason: { normalized: "stop" } }),
LLMEvent.stepFinish({ index: 0, reason: "stop", usage: { inputTokens: 3 } }),
LLMEvent.finish({ reason: "stop" }),
])
expect(withFinishUsage?.usage).toMatchObject({ outputTokens: 2 })
expect(withoutFinishUsage?.usage).toMatchObject({ inputTokens: 3 })
})
test("preserves the raw finish reason", () => {
const response = LLMResponse.fromEvents([
LLMEvent.finish({ reason: { normalized: "unknown", raw: "provider_limit" } }),
])
expect(response?.finishReason).toEqual({ normalized: "unknown", raw: "provider_limit" })
})
test("assembles tool-call content only after the completed tool call event", () => {
const pending = reduce([
LLMEvent.toolInputStart({ id: "call_1", name: "lookup" }),
@@ -96,7 +88,7 @@ describe("LLMResponse reducer", () => {
LLMEvent.toolInputDelta({ id: "call_1", name: "lookup", text: ':"weather"}' }),
LLMEvent.toolInputEnd({ id: "call_1", name: "lookup" }),
LLMEvent.toolCall({ id: "call_1", name: "lookup", input: { query: "weather" } }),
LLMEvent.finish({ reason: { normalized: "tool-calls" } }),
LLMEvent.finish({ reason: "tool-calls" }),
])
expect(response?.message.content).toEqual([
+2 -6
View File
@@ -48,12 +48,8 @@ describe("llm schema", () => {
})
test("finish constructors accept usage input", () => {
expect(
LLMEvent.stepFinish({ index: 0, reason: { normalized: "stop" }, usage: { inputTokens: 1 } }).usage,
).toBeInstanceOf(Usage)
expect(LLMEvent.finish({ reason: { normalized: "stop" }, usage: { outputTokens: 2 } }).usage).toBeInstanceOf(
Usage,
)
expect(LLMEvent.stepFinish({ index: 0, reason: "stop", usage: { inputTokens: 1 } }).usage).toBeInstanceOf(Usage)
expect(LLMEvent.finish({ reason: "stop", usage: { outputTokens: 2 } }).usage).toBeInstanceOf(Usage)
})
test("content part tagged union exposes guards", () => {
+2 -2
View File
@@ -553,7 +553,7 @@ describe("LLMClient tools", () => {
)
yield* TestToolRuntime.runTools({
request: LLMRequest.update(baseRequest, {
request: LLM.updateRequest(baseRequest, {
model: AnthropicMessages.route
.with({ auth: Auth.header("x-api-key", "test") })
.model({ id: "claude-sonnet-4-5" }),
@@ -808,7 +808,7 @@ describe("LLMClient tools", () => {
)
const events = Array.from(
yield* TestToolRuntime.runTools({
request: LLMRequest.update(baseRequest, {
request: LLM.updateRequest(baseRequest, {
model: AnthropicMessages.route
.with({ auth: Auth.header("x-api-key", "test") })
.model({ id: "claude-sonnet-4-5" }),
@@ -97,7 +97,6 @@ export async function setupTimeline(
locale?: string
deviceScaleFactor?: number
seedHistory?: boolean
protocol?: "v1" | "v2"
} = {},
) {
const sessions = input.sessions ?? [session()]
@@ -115,7 +114,6 @@ export async function setupTimeline(
retry: input.eventRetry ?? 20,
})
await mockOpenCodeServer(page, {
protocol: input.protocol,
directory,
project: project(),
provider: provider(),
@@ -89,8 +89,8 @@ test("reconnects after a stream error", async ({ page }) => {
expect((await timeline.transport.connections())[0]?.endedBy).toBe("error")
})
test("does not request replay when reconnecting the volatile V2 event stream", async ({ page }) => {
const timeline = await setupTimeline(page, { eventRetry: 10, protocol: "v2" })
test("records event IDs and reconnect Last-Event-ID headers", async ({ page }) => {
const timeline = await setupTimeline(page, { eventRetry: 10 })
const first = await timeline.transport.send(partUpdated(textPart("prt_transport_id", "event with id")), {
id: "timeline-event-7",
})
@@ -100,7 +100,7 @@ test("does not request replay when reconnecting the volatile V2 event stream", a
const connection = await timeline.transport.waitForConnection({ after: first.connectionID })
expect(first.eventID).toBe("timeline-event-7")
expect(connection.headers["last-event-id"]).toBeUndefined()
expect(connection.headers["last-event-id"]).toBe("timeline-event-7")
})
test("passes through non-event fetches", async ({ page }) => {
+2 -276
View File
@@ -4,7 +4,6 @@ const emptyList = new Set(["/skill", "/command", "/lsp", "/formatter", "/vcs/sta
const emptyObject = new Set(["/global/config", "/config", "/provider/auth", "/mcp", "/experimental/resource"])
export interface MockServerConfig {
protocol?: "v1" | "v2"
provider: unknown
directory: string
project: unknown
@@ -54,20 +53,8 @@ export async function mockOpenCodeServer(page: Page, config: MockServerConfig) {
if (url.port !== targetPort && url.port !== appPort) return route.fallback()
const path = url.pathname
if (path === "/global/event" || path === "/event" || path === "/api/event") {
const events = config.events?.()
return sse(
route,
path === "/api/event"
? [{ id: "evt_mock_connected", type: "server.connected", data: {} }, ...(events?.map(currentEvent) ?? [])]
: events,
config.eventRetry,
)
}
if (path === "/global/health")
return config.protocol === "v2" ? json(route, {}, undefined, 404) : json(route, { healthy: true })
if (path === "/api/health" && config.protocol === "v2")
return json(route, { healthy: true, version: "2.0.0", pid: 1 })
if (path === "/global/event" || path === "/event") return sse(route, config.events?.(), config.eventRetry)
if (path === "/global/health") return json(route, { healthy: true })
if (path === "/experimental/capabilities") return json(route, { backgroundSubagents: true })
if (path === "/permission")
return json(route, typeof config.permissions === "function" ? config.permissions() : (config.permissions ?? []))
@@ -96,129 +83,10 @@ export async function mockOpenCodeServer(page: Page, config: MockServerConfig) {
},
data: [],
})
if (path === "/api/agent")
return json(route, {
location: location(config),
data: [
{
id: "build",
name: "Build",
mode: "primary",
hidden: false,
request: { settings: {}, headers: {}, body: {} },
permissions: [],
},
],
})
if (path === "/api/command") return json(route, { location: location(config), data: [] })
if (path === "/api/mcp") return json(route, { location: location(config), data: [] })
if (path === "/api/mcp/resource")
return json(route, { location: location(config), data: { resources: [], templates: [] } })
const integration = path.match(/^\/api\/integration\/([^/]+)$/)?.[1]
if (integration && route.request().method() === "GET")
return json(route, {
location: location(config),
data: { id: integration, name: integration, methods: [{ type: "key", label: "API key" }], connections: [] },
})
if (/^\/api\/integration\/[^/]+\/connect\/key$/.test(path) && route.request().method() === "POST")
return route.fulfill({ status: 204, headers: { "access-control-allow-origin": "*" } })
if (path === "/api/project") return json(route, [config.project])
if (path === "/api/project/current")
return json(route, { id: (config.project as { id?: string }).id, directory: config.directory })
if (path.startsWith("/api/project/") && route.request().method() === "PATCH") return json(route, config.project)
if (path === "/api/path")
return json(route, {
state: config.directory,
config: config.directory,
worktree: config.directory,
directory: config.directory,
home: "C:/OpenCode",
})
if (path === "/api/permission/request")
return json(route, {
location: location(config),
data: (typeof config.permissions === "function" ? config.permissions() : (config.permissions ?? [])).map(
currentPermission,
),
})
if (path === "/api/question/request")
return json(route, {
location: location(config),
data: typeof config.questions === "function" ? config.questions() : (config.questions ?? []),
})
if (path === "/api/vcs")
return json(route, { location: location(config), data: { branch: "main", defaultBranch: "main" } })
if (path === "/api/vcs/status") return json(route, { location: location(config), data: [] })
if (path === "/api/vcs/diff") return json(route, { location: location(config), data: config.vcsDiff ?? [] })
if (path === "/api/pty/shells") return json(route, { location: location(config), data: [] })
if (/^\/api\/pty\/[^/]+\/connect-token$/.test(path))
return json(route, { location: location(config), data: { ticket: "e2e-ticket", expires_in: 60 } })
if (emptyObject.has(path)) return json(route, {})
if (emptyList.has(path)) return json(route, [])
if (path === "/api/session") {
const directory = url.searchParams.get("directory")
const parentID = url.searchParams.get("parentID")
const limit = Number(url.searchParams.get("limit") ?? 50)
const offset = Number(url.searchParams.get("cursor") ?? 0)
const sessions = config.sessions
.filter((session) => !directory || session.directory === directory)
.filter((session) => parentID !== "null" || session.parentID === undefined)
.filter((session) => {
const search = url.searchParams.get("search")?.toLowerCase()
return (
!search ||
String(session.title ?? "")
.toLowerCase()
.includes(search)
)
})
const ordered = url.searchParams.get("order") === "asc" ? sessions.toReversed() : sessions
const data = ordered.slice(offset, offset + limit)
const next = offset + limit < ordered.length ? String(offset + limit) : undefined
return json(route, {
data: data.map((session) => currentSession(session, config.directory)),
cursor: { next },
})
}
if (path === "/api/session/active") {
const statuses = (config.sessionStatus ?? {}) as Record<string, { type?: string }>
return json(route, {
data: Object.fromEntries(
Object.entries(statuses).flatMap(([id, status]) =>
status.type === "idle" ? [] : [[id, { type: "running" }]],
),
),
})
}
if (/^\/api\/session\/[^/]+\/shell$/.test(path) && route.request().method() === "POST") {
return route.fulfill({ status: 204, headers: { "access-control-allow-origin": "*" } })
}
if (/^\/api\/session\/[^/]+\/question\/[^/]+\/(reply|reject)$/.test(path) && route.request().method() === "POST") {
return route.fulfill({ status: 204, headers: { "access-control-allow-origin": "*" } })
}
if (/^\/api\/session\/[^/]+\/permission\/[^/]+\/reply$/.test(path) && route.request().method() === "POST") {
return route.fulfill({ status: 204, headers: { "access-control-allow-origin": "*" } })
}
if (
/^\/api\/session\/[^/]+\/(archive|rename|interrupt|revert\/clear|revert\/commit)$/.test(path) &&
route.request().method() === "POST"
) {
return route.fulfill({ status: 204, headers: { "access-control-allow-origin": "*" } })
}
if (/^\/api\/session\/[^/]+$/.test(path) && route.request().method() === "DELETE") {
return route.fulfill({ status: 204, headers: { "access-control-allow-origin": "*" } })
}
if (path in staticRoutes) return json(route, staticRoutes[path])
const currentSessionMatch = path.match(/^\/api\/session\/([^/]+)$/)
if (currentSessionMatch) {
const session = config.sessions.find((item) => item.id === currentSessionMatch[1])
if (!session) return json(route, { error: "Session not found" }, undefined, 404)
return json(route, {
data: currentSession(session, config.directory),
})
}
const sessionMatch = path.match(/^\/session\/([^/]+)$/)
if (sessionMatch) {
const session = config.sessions.find((s) => s.id === sessionMatch[1])
@@ -239,24 +107,6 @@ export async function mockOpenCodeServer(page: Page, config: MockServerConfig) {
if (/^\/session\/[^/]+\/(children|diff)$/.test(path)) return json(route, [])
const currentMessagesMatch = path.match(/^\/api\/session\/([^/]+)\/message$/)
if (currentMessagesMatch) {
const token = url.searchParams.get("cursor") ?? undefined
const before = token ? cursors.get(token) : undefined
if (token && !before) return json(route, { error: "Invalid cursor" }, undefined, 400)
config.onMessages?.({ sessionID: currentMessagesMatch[1], before, phase: "start" })
await config.beforeMessagesResponse?.({ sessionID: currentMessagesMatch[1]!, before })
if (config.messageDelay !== undefined) await new Promise((resolve) => setTimeout(resolve, config.messageDelay))
const pageData = config.pageMessages(currentMessagesMatch[1], Number(url.searchParams.get("limit") ?? 50), before)
config.onMessages?.({ sessionID: currentMessagesMatch[1], before, phase: "end" })
const cursor = pageData.cursor ? `cursor_${++nextCursor}` : undefined
if (cursor) cursors.set(cursor, pageData.cursor!)
return json(route, {
data: pageData.items.map(currentMessage).reverse(),
cursor: { next: cursor },
})
}
const messagesMatch = path.match(/^\/session\/([^/]+)\/message$/)
if (messagesMatch) {
const token = url.searchParams.get("before") ?? undefined
@@ -279,115 +129,6 @@ export async function mockOpenCodeServer(page: Page, config: MockServerConfig) {
})
}
function location(config: MockServerConfig) {
return {
directory: config.directory,
project: { id: (config.project as { id?: string }).id, directory: config.directory },
}
}
function currentPermission(value: unknown) {
const permission = value as Record<string, unknown>
if (permission.action) return permission
const tool = permission.tool as { messageID?: string; callID?: string } | undefined
return {
id: permission.id,
sessionID: permission.sessionID,
action: permission.permission,
resources: permission.patterns ?? [],
save: permission.always,
metadata: permission.metadata,
source:
tool?.messageID && tool.callID ? { type: "tool", messageID: tool.messageID, callID: tool.callID } : undefined,
}
}
export function currentSession(session: { id: string } & Record<string, unknown>, fallbackDirectory?: string) {
const time = session.time && typeof session.time === "object" ? session.time : {}
return {
id: session.id,
parentID: session.parentID,
projectID: session.projectID ?? "project",
agent: session.agent ?? "build",
model: session.model ?? { id: "mock-model", providerID: "mock-provider" },
cost: session.cost ?? 0,
tokens: session.tokens ?? { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
time: {
created: "created" in time && typeof time.created === "number" ? time.created : 0,
updated: "updated" in time && typeof time.updated === "number" ? time.updated : 0,
...(session.time && typeof session.time === "object" && "archived" in session.time
? { archived: session.time.archived }
: {}),
},
title: session.title ?? session.id,
location: {
directory: typeof session.directory === "string" ? session.directory : fallbackDirectory,
...(typeof session.workspaceID === "string" ? { workspaceID: session.workspaceID } : {}),
},
subpath: session.path,
revert: session.revert,
}
}
function currentMessage(value: unknown) {
const item = value as {
info: Record<string, unknown> & { id: string; role: "user" | "assistant"; time: { created: number } }
parts: Array<Record<string, unknown> & { type: string }>
}
if (item.info.role === "user") {
return {
id: item.info.id,
type: "user",
time: item.info.time,
text: item.parts
.flatMap((part) => (part.type === "text" && typeof part.text === "string" ? [part.text] : []))
.join("\n"),
}
}
return {
id: item.info.id,
type: "assistant",
time: item.info.time,
agent: item.info.agent ?? "build",
model: { id: item.info.modelID ?? "model", providerID: item.info.providerID ?? "provider" },
cost: item.info.cost,
tokens: item.info.tokens,
error: item.info.error,
content: item.parts.flatMap<unknown>((part) => {
if (part.type === "text" || part.type === "reasoning") return [{ type: part.type, text: part.text ?? "" }]
if (part.type !== "tool") return []
const state = part.state as Record<string, unknown>
return [
{
type: "tool",
id: part.id,
name: part.tool,
time: state.time ?? { created: item.info.time.created },
state:
state.status === "pending"
? { status: "streaming", input: state.raw ?? JSON.stringify(state.input ?? {}) }
: state.status === "completed"
? {
status: "completed",
input: state.input ?? {},
structured: state.metadata ?? {},
content: [{ type: "text", text: state.output ?? "" }],
}
: state.status === "error"
? {
status: "error",
input: state.input ?? {},
structured: state.metadata ?? {},
content: [],
error: { type: "ToolError", message: state.error ?? "Tool failed" },
}
: { status: "running", input: state.input ?? {}, structured: state.metadata ?? {}, content: [] },
},
]
}),
}
}
function json(route: Route, body: unknown, headers?: Record<string, string>, status = 200) {
return route.fulfill({
status,
@@ -408,18 +149,3 @@ function sse(route: Route, events?: unknown[], retry?: number) {
body: `${retry === undefined ? "" : `retry: ${retry}\n\n`}${events?.map((event) => `data: ${JSON.stringify(event)}\n\n`).join("") || ": ok\n\n"}`,
})
}
function currentEvent(input: unknown) {
if (!input || typeof input !== "object" || !("payload" in input)) return input
const envelope = input as { directory?: string; payload?: unknown }
if (!envelope.payload || typeof envelope.payload !== "object") return input
const payload = envelope.payload as { id?: string; type?: string; properties?: unknown }
if (!payload.type) return input
return {
id: payload.id ?? `evt_mock_${Date.now()}`,
created: Date.now(),
type: payload.type,
data: payload.properties ?? {},
location: envelope.directory && envelope.directory !== "global" ? { directory: envelope.directory } : undefined,
}
}
+9 -29
View File
@@ -3,7 +3,7 @@ import type { Page } from "@playwright/test"
export type SseConnectionRecord = {
id: number
url: string
path: "/global/event" | "/event" | "/api/event"
path: "/global/event" | "/event"
headers: Record<string, string>
openedAt: number
endedAt?: number
@@ -93,21 +93,6 @@ export async function installSseTransport<T>(
eventOptions.retry === undefined ? "" : `retry: ${eventOptions.retry}\n`,
`data: ${JSON.stringify(payload)}\n\n`,
].join("")
const currentEvent = (input: unknown) => {
if (!input || typeof input !== "object" || !("payload" in input)) return input
const envelope = input as { directory?: string; payload?: unknown }
if (!envelope.payload || typeof envelope.payload !== "object") return input
const payload = envelope.payload as { id?: string; type?: string; properties?: unknown }
if (!payload.type) return input
return {
id: payload.id ?? `evt_mock_${Date.now()}`,
created: Date.now(),
type: payload.type,
data: payload.properties ?? {},
location:
envelope.directory && envelope.directory !== "global" ? { directory: envelope.directory } : undefined,
}
}
const acknowledge = (
connection: Connection,
bytes: number,
@@ -155,13 +140,15 @@ export async function installSseTransport<T>(
output.forEach((chunk) => connection.controller.enqueue(chunk))
return acknowledge(connection, input.bytes.length, output.length)
}
const encoded = input.deliveries.map((delivery) => {
const payload = connection.path === "/api/event" ? currentEvent(delivery.payload) : delivery.payload
return { delivery, payload, bytes: encoder.encode(frame(payload, delivery.options)) }
})
const encoded = input.deliveries.map((delivery) => ({
delivery,
bytes: encoder.encode(frame(delivery.payload, delivery.options)),
}))
encoded.forEach((item) => marker(item.delivery.options?.marker))
if (input.burst) {
const bytes = encoder.encode(encoded.map((item) => frame(item.payload, item.delivery.options)).join(""))
const bytes = encoder.encode(
encoded.map((item) => frame(item.delivery.payload, item.delivery.options)).join(""),
)
connection.controller.enqueue(bytes)
return encoded.map((item) => acknowledge(connection, item.bytes.byteLength, 1, item.delivery.options?.id))
}
@@ -174,10 +161,7 @@ export async function installSseTransport<T>(
const fetch = (input: RequestInfo | URL, init?: RequestInit) => {
const request = new Request(input, init)
const url = new URL(request.url)
if (
url.origin !== server ||
(url.pathname !== "/global/event" && url.pathname !== "/event" && url.pathname !== "/api/event")
)
if (url.origin !== server || (url.pathname !== "/global/event" && url.pathname !== "/event"))
return originalFetch(request)
const id = ++nextConnectionID
@@ -193,10 +177,6 @@ export async function installSseTransport<T>(
record.controller = controller
connections.push(record)
if (retry !== undefined) controller.enqueue(encoder.encode(`retry: ${retry}\n\n`))
if (url.pathname === "/api/event")
controller.enqueue(
encoder.encode(frame({ id: `evt_mock_connected_${id}`, type: "server.connected", data: {} })),
)
request.signal.addEventListener(
"abort",
() => {
-1
View File
@@ -53,7 +53,6 @@
"@dnd-kit/helpers": "0.5.0",
"@dnd-kit/solid": "0.5.0",
"@kobalte/core": "catalog:",
"@opencode-ai/client": "file:vendor/opencode-ai-client-1.17.13.tgz",
"@opencode-ai/core": "workspace:*",
"@opencode-ai/schema": "workspace:*",
"@opencode-ai/sdk": "workspace:*",
+1 -37
View File
@@ -1,6 +1,5 @@
import { describe, expect, test } from "bun:test"
import { adaptServerEvent, coalesceServerEvents, enqueueServerEvent, resumeStreamAfterPageShow } from "./server-sdk"
import type { OpenCodeEvent } from "@opencode-ai/client/promise"
import { coalesceServerEvents, enqueueServerEvent, resumeStreamAfterPageShow } from "./server-sdk"
import type { Event } from "@opencode-ai/sdk/v2/client"
describe("resumeStreamAfterPageShow", () => {
@@ -15,23 +14,6 @@ describe("resumeStreamAfterPageShow", () => {
})
})
describe("adaptServerEvent", () => {
test("preserves V2 events while adapting permission requests for existing consumers", () => {
const current = {
id: "evt_1",
created: 1,
type: "permission.v2.asked",
data: { id: "perm_1", sessionID: "ses_1", action: "read", resources: ["src/**"] },
} as OpenCodeEvent
expect(adaptServerEvent(current)).toMatchObject({
type: "permission.asked",
properties: { id: "perm_1", sessionID: "ses_1", permission: "read", patterns: ["src/**"] },
current,
})
})
})
describe("coalesceServerEvents", () => {
const delta = (value: string, field = "text", partID = "part") => ({
directory: "/repo",
@@ -52,24 +34,6 @@ describe("coalesceServerEvents", () => {
expect(result[0]?.payload).toMatchObject({ id: "second", properties: { delta: "hello world" } })
})
test("merges adjacent current text deltas", () => {
const current = (id: string, value: string) =>
adaptServerEvent({
id,
created: 1,
type: "session.text.delta",
location: { directory: "/repo" },
data: { sessionID: "ses", assistantMessageID: "msg", ordinal: 0, delta: value },
} as OpenCodeEvent)
const result = coalesceServerEvents([
{ directory: "/repo", payload: current("evt_1", "hello ") },
{ directory: "/repo", payload: current("evt_2", "world") },
])
expect(result).toHaveLength(1)
expect(result[0]?.payload.current).toMatchObject({ id: "evt_2", data: { delta: "hello world" } })
})
test("preserves event boundaries and distinct fields", () => {
const status = {
directory: "/repo",
+51 -143
View File
@@ -1,60 +1,21 @@
import type { OpenCodeEvent } from "@opencode-ai/client/promise"
import type { Event } from "@opencode-ai/sdk/v2/client"
import { createSimpleContext } from "@opencode-ai/ui/context"
import { createGlobalEmitter } from "@solid-primitives/event-bus"
import { makeEventListener } from "@solid-primitives/event-listener"
import { type Accessor, batch, createMemo, onCleanup, onMount } from "solid-js"
import { createApiForServer, createSdkForServer, type ServerApi } from "@/utils/server"
import { createSdkForServer } from "@/utils/server"
import { useLanguage } from "./language"
import { usePlatform } from "./platform"
import { ServerConnection, useServer } from "./server"
import { createRefCountMap } from "@/utils/refcount"
import { useGlobal } from "./global"
import { ServerScope } from "@/utils/server-scope"
import { detectServerProtocol, type ServerProtocol } from "@/utils/server-protocol"
import { createCompatibleApi, type CompatibleApi } from "@/utils/server-compat"
const isAbortError = (error: unknown) =>
error !== null && typeof error === "object" && "name" in error && error.name === "AbortError"
const isStreamClosed = (error: unknown, signal?: AbortSignal) => isAbortError(error) || signal?.aborted === true
export type ServerEvent = Event & { current?: OpenCodeEvent }
type QueuedServerEvent = { directory: string; payload: ServerEvent }
type CurrentDelta = Extract<
OpenCodeEvent,
{ type: "session.text.delta" | "session.reasoning.delta" | "session.tool.input.delta" | "session.compaction.delta" }
>
export function adaptServerEvent(event: OpenCodeEvent): ServerEvent {
if (event.type === "permission.v2.asked") {
return {
id: event.id,
type: "permission.asked",
properties: {
id: event.data.id,
sessionID: event.data.sessionID,
permission: event.data.action,
patterns: event.data.resources,
always: event.data.save ?? [],
metadata: event.data.metadata ?? {},
tool:
event.data.source?.type === "tool"
? { messageID: event.data.source.messageID, callID: event.data.source.callID }
: undefined,
},
current: event,
} as ServerEvent
}
if (event.type === "permission.v2.replied")
return { id: event.id, type: "permission.replied", properties: event.data, current: event } as ServerEvent
if (event.type === "question.v2.asked")
return { id: event.id, type: "question.asked", properties: event.data, current: event } as ServerEvent
if (event.type === "question.v2.replied")
return { id: event.id, type: "question.replied", properties: event.data, current: event } as ServerEvent
if (event.type === "question.v2.rejected")
return { id: event.id, type: "question.rejected", properties: event.data, current: event } as ServerEvent
return { id: event.id, type: event.type, properties: event.data, current: event } as ServerEvent
}
type QueuedServerEvent = { directory: string; payload: Event }
const coalescedKey = (event: QueuedServerEvent) => {
if (event.payload.type === "lsp.updated") return `lsp.updated:${event.directory}`
@@ -79,34 +40,6 @@ export function enqueueServerEvent(queue: QueuedServerEvent[], event: QueuedServ
export function coalesceServerEvents(events: QueuedServerEvent[]) {
const output: QueuedServerEvent[] = []
events.forEach((event) => {
const current = currentDelta(event.payload.current)
if (current) {
const previous = output[output.length - 1]
const prior = currentDelta(previous?.payload.current)
if (
previous &&
prior &&
previous.directory === event.directory &&
currentDeltaKey(prior) === currentDeltaKey(current)
) {
const fragment = currentDeltaFragment(prior) + currentDeltaFragment(current)
const data =
current.type === "session.compaction.delta"
? { ...current.data, text: fragment }
: { ...current.data, delta: fragment }
output[output.length - 1] = {
directory: event.directory,
payload: {
...event.payload,
properties: data,
current: { ...current, data } as CurrentDelta,
} as ServerEvent,
}
return
}
output.push(event)
return
}
if (event.payload.type !== "message.part.delta") {
output.push(event)
return
@@ -138,52 +71,12 @@ export function coalesceServerEvents(events: QueuedServerEvent[]) {
return output
}
function currentDelta(event: OpenCodeEvent | undefined): CurrentDelta | undefined {
if (
event?.type === "session.text.delta" ||
event?.type === "session.reasoning.delta" ||
event?.type === "session.tool.input.delta" ||
event?.type === "session.compaction.delta"
)
return event
}
function currentDeltaKey(event: CurrentDelta) {
if (event.type === "session.tool.input.delta")
return `${event.type}:${event.data.sessionID}:${event.data.assistantMessageID}:${event.data.callID}`
if (event.type === "session.compaction.delta") return `${event.type}:${event.data.sessionID}`
return `${event.type}:${event.data.sessionID}:${event.data.assistantMessageID}:${event.data.ordinal}`
}
function currentDeltaFragment(event: CurrentDelta) {
return event.type === "session.compaction.delta" ? event.data.text : event.data.delta
}
export function resumeStreamAfterPageShow(event: PageTransitionEvent, start: () => unknown) {
if (!event.persisted) return
start()
}
type ServerEventEmitter = ReturnType<typeof createGlobalEmitter<{ [key: string]: ServerEvent }>>
type ServerSDKBase = {
server: ServerConnection.Any
scope: ServerScope
protocol: Promise<ServerProtocol>
url: string
client: ReturnType<typeof createSdkForServer>
api: CompatibleApi
currentApi: ServerApi
event: {
on: ServerEventEmitter["on"]
listen: ServerEventEmitter["listen"]
start: () => Promise<void> | undefined
}
createClient: (
opts: Omit<Parameters<typeof createSdkForServer>[0], "server" | "fetch">,
) => ReturnType<typeof createSdkForServer>
}
function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerScope): ServerSDKBase {
function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerScope) {
const platform = usePlatform()
const abort = new AbortController()
@@ -198,15 +91,13 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
}
})()
const eventApi = createApiForServer({ server: server.http, fetch: eventFetch })
const eventSdk = createSdkForServer({
signal: abort.signal,
fetch: eventFetch,
server: server.http,
})
const protocol = detectServerProtocol(server.http, platform.fetch ?? globalThis.fetch)
const emitter = createGlobalEmitter<{
[key: string]: ServerEvent
[key: string]: Event
}>()
type Queued = QueuedServerEvent
@@ -251,6 +142,21 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
let run: Promise<void> | undefined
let started = false
let generation = 0
const HEARTBEAT_TIMEOUT_MS = 15_000
let lastEventAt = Date.now()
let heartbeat: ReturnType<typeof setTimeout> | undefined
const resetHeartbeat = () => {
lastEventAt = Date.now()
if (heartbeat) clearTimeout(heartbeat)
heartbeat = setTimeout(() => {
attempt?.abort()
}, HEARTBEAT_TIMEOUT_MS)
}
const clearHeartbeat = () => {
if (!heartbeat) return
clearTimeout(heartbeat)
heartbeat = undefined
}
const start = () => {
if (started) return run
@@ -262,24 +168,35 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
// oxlint-disable-next-line no-unmodified-loop-condition -- `started` is set to false by stop() which also aborts; both flags are checked to allow graceful exit
while (!abort.signal.aborted && started && generation === active) {
attempt = new AbortController()
lastEventAt = Date.now()
const onAbort = () => {
attempt?.abort()
}
abort.signal.addEventListener("abort", onAbort)
try {
const kind = await protocol
const events =
kind === "v1"
? (await eventSdk.global.event({ signal: attempt.signal })).stream
: eventApi.event.subscribe({ signal: attempt.signal })
const events = await eventSdk.global.event({
signal: attempt.signal,
onSseError: (error) => {
if (isStreamClosed(error, attempt?.signal)) return
if (streamErrorLogged) return
streamErrorLogged = true
console.error("[global-sdk] event stream error", {
url: server.http.url,
fetch: eventFetch ? "platform" : "webview",
error,
})
},
})
let yielded = Date.now()
for await (const event of events) {
resetHeartbeat()
for await (const event of events.stream) {
resetHeartbeat()
streamErrorLogged = false
const legacy = "payload" in event
if (legacy && event.payload.type === "sync") continue
const directory = legacy ? (event.directory ?? "global") : (event.location?.directory ?? "global")
const payload = legacy ? (event.payload as Event) : adaptServerEvent(event)
if (enqueueServerEvent(queue, { directory, payload })) schedule()
if (event.payload.type !== "sync") {
const directory = event.directory ?? "global"
const payload = event.payload as Event
if (enqueueServerEvent(queue, { directory, payload })) schedule()
}
if (Date.now() - yielded < STREAM_YIELD_MS) continue
yielded = Date.now()
@@ -297,6 +214,7 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
} finally {
abort.signal.removeEventListener("abort", onAbort)
attempt = undefined
clearHeartbeat()
}
if (abort.signal.aborted || !started || generation !== active) return
@@ -315,11 +233,18 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
started = false
generation++
attempt?.abort()
clearHeartbeat()
}
onMount(() => {
makeEventListener(window, "pagehide", stop)
makeEventListener(window, "pageshow", (event) => resumeStreamAfterPageShow(event, start))
makeEventListener(document, "visibilitychange", () => {
if (document.visibilityState !== "visible") return
if (!started) return
if (Date.now() - lastEventAt < HEARTBEAT_TIMEOUT_MS) return
attempt?.abort()
})
})
onCleanup(() => {
@@ -333,24 +258,12 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
fetch: platform.fetch,
throwOnError: true,
})
const currentApi: ServerApi = createApiForServer({ server: server.http, fetch: platform.fetch })
const legacy = (directory?: string) =>
createSdkForServer({
server: server.http,
fetch: platform.fetch,
throwOnError: true,
directory,
})
const api = createCompatibleApi({ protocol, current: currentApi, legacy })
return {
server,
scope,
protocol,
url: server.http.url,
client: sdk,
api,
currentApi,
event: {
on: emitter.on.bind(emitter),
listen: emitter.listen.bind(emitter),
@@ -366,6 +279,7 @@ function createServerSdkContextBase(server: ServerConnection.Any, scope: ServerS
}
}
type ServerSDKBase = ReturnType<typeof createServerSdkContextBase>
export type ServerSDK = ServerSDKBase & {
ensureDirSdkContext: (directory: string) => ReturnType<typeof createDirSdkContext>
}
@@ -395,7 +309,7 @@ export const { use: useServerSDK, provider: ServerSDKProvider } = createSimpleCo
})
type SDKEventMap = {
[key in Event["type"]]: Extract<ServerEvent, { type: key }>
[key in Event["type"]]: Extract<Event, { type: key }>
}
function createDirSdkContext(directory: string, serverSDK: ServerSDKBase) {
@@ -415,12 +329,6 @@ function createDirSdkContext(directory: string, serverSDK: ServerSDKBase) {
scope: serverSDK.scope,
directory,
client,
api: createCompatibleApi({
protocol: serverSDK.protocol,
current: serverSDK.currentApi,
legacy: (next) => serverSDK.createClient({ directory: next ?? directory, throwOnError: true }),
directory,
}),
event: emitter,
get url() {
return serverSDK.url
@@ -1,113 +0,0 @@
import { describe, expect, test } from "bun:test"
import { createApiForServer, createSdkForServer } from "./server"
import { createCompatibleApi } from "./server-compat"
function setup(protocol: "v1" | "v2" | Promise<"v1" | "v2">) {
const requests: Request[] = []
const fetcher = Object.assign(
async (input: string | URL | Request, init?: RequestInit) => {
const request = new Request(input, init)
requests.push(request)
if (request.method === "PATCH") {
return Response.json({
id: "ses_1",
slug: "ses_1",
projectID: "project",
directory: "/repo",
title: "Session",
version: "1",
time: { created: 1, updated: 1 },
})
}
if (request.method === "POST" && request.url.endsWith("/prompt_async"))
return new Response(undefined, { status: 204 })
if (request.method === "POST" && request.url.endsWith("/prompt")) {
return Response.json({
admittedSeq: 1,
id: "msg_1",
sessionID: "ses_1",
timeCreated: 1,
type: "user",
data: { text: "hello" },
delivery: "steer",
})
}
if (request.method === "GET") return Response.json([])
return new Response(undefined, { status: 204 })
},
{ preconnect: globalThis.fetch.preconnect },
)
const server = { url: "http://localhost:4096" }
const api = createCompatibleApi({
protocol: typeof protocol === "string" ? Promise.resolve(protocol) : protocol,
current: createApiForServer({ server, fetch: fetcher }),
legacy: (directory) => createSdkForServer({ server, fetch: fetcher, directory, throwOnError: true }),
directory: "/repo",
})
return { api, requests }
}
describe("createCompatibleApi", () => {
test("routes V1 archive through the legacy session update", async () => {
const { api, requests } = setup("v1")
await api.session.archive({ sessionID: "ses_1", directory: "/repo" })
const url = new URL(requests[0]!.url)
expect(url.pathname).toBe("/session/ses_1")
expect(requests[0]!.headers.get("x-opencode-directory")).toBe("%2Frepo")
expect(requests[0]!.method).toBe("PATCH")
expect(await requests[0]!.json()).toMatchObject({ time: { archived: expect.any(Number) } })
})
test("converts current prompts to the V1 prompt contract", async () => {
const { api, requests } = setup("v1")
await api.session.prompt({
sessionID: "ses_1",
id: "msg_1",
text: "hello",
agent: "build",
model: { providerID: "provider", modelID: "model" },
})
expect(new URL(requests[0]!.url).pathname).toBe("/session/ses_1/prompt_async")
expect(await requests[0]!.json()).toMatchObject({
messageID: "msg_1",
agent: "build",
model: { providerID: "provider", modelID: "model" },
parts: [{ type: "text", text: "hello" }],
})
})
test("keeps V2 session actions on the current API", async () => {
const { api, requests } = setup("v2")
await api.session.archive({ sessionID: "ses_1" })
expect(new URL(requests[0]!.url).pathname).toBe("/api/session/ses_1/archive")
expect(requests[0]!.method).toBe("POST")
})
test("resolves protocol detection once across implementation methods", async () => {
let detections = 0
const resolved = Promise.resolve<"v1" | "v2">("v2")
const protocol = new Proxy(resolved, {
get(target, property) {
if (property !== "then") return Reflect.get(target, property, target)
detections++
return target.then.bind(target)
},
})
const { api } = setup(protocol)
await api.session.archive({ sessionID: "ses_1" })
await api.session.list()
expect(detections).toBe(1)
})
test("uses the global V1 session search endpoint", async () => {
const { api, requests } = setup("v1")
await api.session.list({ parentID: null, search: "session", limit: 50 })
expect(new URL(requests[0]!.url).pathname).toBe("/experimental/session")
})
})
-495
View File
@@ -1,495 +0,0 @@
import type { ServerApi } from "./server"
import type { ServerProtocol } from "./server-protocol"
import type { OpencodeClient, Session } from "@opencode-ai/sdk/v2/client"
import type {
Project,
ProjectCurrent,
SessionApi,
SessionCommandInput,
SessionCommandOutput,
SessionCompactInput,
SessionCompactOutput,
SessionInfo,
SessionPromptInput,
SessionPromptOutput,
SessionShellInput,
SessionShellOutput,
} from "@opencode-ai/client/promise"
type LegacyClient = OpencodeClient
type LegacyFor = (directory?: string) => LegacyClient
type CompatibleSessionApi = Omit<
SessionApi,
"prompt" | "command" | "shell" | "compact" | "rename" | "archive" | "remove"
> & {
prompt: (input: SessionPromptInput & LegacyPrompt) => Promise<SessionPromptOutput>
command: (input: SessionCommandInput) => Promise<SessionCommandOutput>
shell: (input: SessionShellInput & LegacyPrompt) => Promise<SessionShellOutput>
compact: (input: SessionCompactInput & { model?: LegacyPrompt["model"] }) => Promise<SessionCompactOutput>
rename: (input: Parameters<SessionApi["rename"]>[0] & LegacyLocation) => ReturnType<SessionApi["rename"]>
archive: (input: Parameters<SessionApi["archive"]>[0] & LegacyLocation) => ReturnType<SessionApi["archive"]>
remove: (input: Parameters<SessionApi["remove"]>[0] & LegacyLocation) => ReturnType<SessionApi["remove"]>
}
export type CompatibleApi = Omit<ServerApi, "session"> & { readonly session: CompatibleSessionApi }
type LegacyPrompt = {
agent?: string
model?: { providerID: string; modelID: string }
variant?: string
}
type LegacyLocation = { directory?: string }
type CompatibleInput = {
protocol: Promise<ServerProtocol>
current: ServerApi
legacy: LegacyFor
directory?: string
}
function mime(uri: string) {
const match = /^data:([^;,]+)/.exec(uri)
return match?.[1] ?? "application/octet-stream"
}
function sessionInfo(session: Session): SessionInfo {
return {
id: session.id,
parentID: session.parentID,
projectID: session.projectID,
agent: session.agent,
model: session.model && {
id: session.model.id,
providerID: session.model.providerID,
variant: session.model.variant,
},
cost: session.cost ?? 0,
tokens: session.tokens ?? { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
time: session.time,
title: session.title,
location: { directory: session.directory, workspaceID: session.workspaceID },
subpath: session.path,
revert: session.revert && {
messageID: session.revert.messageID,
partID: session.revert.partID,
snapshot: session.revert.snapshot,
},
}
}
export function createCompatibleApi(input: CompatibleInput): CompatibleApi {
const v1 = createV1Api(input)
return lazyApi(
input.protocol.then((protocol) => (protocol === "v1" ? v1 : input.current)),
input.current,
)
}
function lazyApi<T extends object>(implementation: Promise<T>, shape: T): T {
const cache = new Map<PropertyKey, unknown>()
return new Proxy(shape, {
get(target, property, receiver) {
const sample = Reflect.get(target, property, receiver)
if (typeof sample === "function") {
return (...args: unknown[]) =>
implementation.then((value) => {
const method = Reflect.get(value, property)
if (typeof method !== "function") throw new Error(`API method unavailable: ${String(property)}`)
return Reflect.apply(method, value, args)
})
}
if (sample === null || typeof sample !== "object") return sample
if (cache.has(property)) return cache.get(property)
const nested = lazyApi(
implementation.then((value) => {
const result = Reflect.get(value, property)
if (result === null || typeof result !== "object") {
throw new Error(`API namespace unavailable: ${String(property)}`)
}
return result
}),
sample,
)
cache.set(property, nested)
return nested
},
})
}
function createV1Api(input: CompatibleInput): CompatibleApi {
const directory = (location?: { directory?: string }) => location?.directory ?? input.directory
const legacy = (location?: { directory?: string }) => input.legacy(directory(location))
const located = <T>(data: T, value?: { directory?: string }) => ({
location: {
directory: directory(value) ?? "",
project: { id: "", directory: directory(value) ?? "" },
},
data,
})
return {
...input.current,
session: {
...input.current.session,
async list(
value?: Parameters<ServerApi["session"]["list"]>[0],
options?: Parameters<ServerApi["session"]["list"]>[1],
) {
if (!value?.directory && value?.search !== undefined) {
const result = await legacy().experimental.session.list(
{
roots: value.parentID === null ? true : undefined,
search: value.search,
limit: value.limit,
},
options,
)
return { data: (result.data ?? []).map(sessionInfo), cursor: {} }
}
const result = await legacy({ directory: value?.directory }).session.list({
directory: value?.directory,
roots: value?.parentID === null ? true : undefined,
search: value?.search,
limit: value?.limit,
})
return { data: (result.data ?? []).map(sessionInfo), cursor: {} }
},
async create(value?: Parameters<ServerApi["session"]["create"]>[0]) {
const result = await legacy(value?.location ?? undefined).session.create({
directory: directory(value?.location ?? undefined),
})
if (!result.data) throw new Error("Failed to create session")
return sessionInfo(result.data)
},
async get(value: Parameters<ServerApi["session"]["get"]>[0]) {
const result = await legacy().session.get(value)
if (!result.data) throw new Error(`Session not found: ${value.sessionID}`)
return sessionInfo(result.data)
},
async active() {
const result = await legacy().session.status()
return Object.fromEntries(
Object.entries(result.data ?? {}).flatMap(([sessionID, status]) =>
status.type === "idle" ? [] : [[sessionID, { type: "running" as const }]],
),
)
},
async rename(value: Parameters<ServerApi["session"]["rename"]>[0] & LegacyLocation) {
await legacy(value).session.update({ sessionID: value.sessionID, title: value.title })
},
async archive(value: Parameters<ServerApi["session"]["archive"]>[0] & LegacyLocation) {
await legacy(value).session.update({ sessionID: value.sessionID, time: { archived: Date.now() } })
},
async remove(value: Parameters<ServerApi["session"]["remove"]>[0] & LegacyLocation) {
await legacy(value).session.delete(value)
},
async fork(value: Parameters<ServerApi["session"]["fork"]>[0]) {
const result = await legacy().session.fork(value)
if (!result.data) throw new Error("Failed to fork session")
return sessionInfo(result.data)
},
async interrupt(value: Parameters<ServerApi["session"]["interrupt"]>[0]) {
await legacy().session.abort(value)
},
async prompt(value: SessionPromptInput & LegacyPrompt) {
await legacy().session.promptAsync({
sessionID: value.sessionID,
messageID: value.id ?? undefined,
agent: value.agent,
model: value.model,
variant: value.variant,
parts: [
{ type: "text", text: value.text },
...(value.files ?? []).map((file) => ({
type: "file" as const,
mime: mime(file.uri),
url: file.uri,
filename: file.name,
})),
...(value.agents ?? []).map((agent) => ({
type: "agent" as const,
name: agent.name,
source: agent.mention
? { value: agent.mention.text, start: agent.mention.start, end: agent.mention.end }
: undefined,
})),
],
})
return {
admittedSeq: 0,
id: value.id ?? "",
sessionID: value.sessionID,
timeCreated: Date.now(),
type: "user",
data: { text: value.text },
delivery: value.delivery ?? "steer",
}
},
async command(value: SessionCommandInput) {
await legacy().session.command({
sessionID: value.sessionID,
messageID: value.id ?? undefined,
command: value.command,
arguments: value.arguments ?? "",
agent: value.agent ?? undefined,
model: value.model ? `${value.model.providerID}/${value.model.id}` : undefined,
variant: value.model?.variant,
parts: value.files?.map((file) => ({
type: "file" as const,
mime: mime(file.uri),
url: file.uri,
filename: file.name,
})),
})
return {
admittedSeq: 0,
id: value.id ?? "",
sessionID: value.sessionID,
timeCreated: Date.now(),
type: "user",
data: { text: `/${value.command} ${value.arguments ?? ""}`.trim() },
delivery: value.delivery ?? "steer",
}
},
async shell(value: SessionShellInput & LegacyPrompt) {
await legacy().session.shell({
sessionID: value.sessionID,
command: value.command,
agent: value.agent,
model: value.model,
})
},
compact: async (value: SessionCompactInput & { model?: LegacyPrompt["model"] }) => {
if (!value.model) throw new Error("A model is required to compact a V1 session")
await legacy().session.summarize({
sessionID: value.sessionID,
providerID: value.model.providerID,
modelID: value.model.modelID,
})
return {
admittedSeq: 0,
id: value.id ?? "",
sessionID: value.sessionID,
timeCreated: Date.now(),
type: "compaction",
}
},
revert: {
stage: async (value: Parameters<ServerApi["session"]["revert"]["stage"]>[0]) => {
await legacy().session.revert(value)
return { messageID: value.messageID }
},
clear: async (value: Parameters<ServerApi["session"]["revert"]["clear"]>[0]) => {
await legacy().session.unrevert(value)
},
commit: input.current.session.revert.commit,
},
},
project: {
...input.current.project,
async list() {
return ((await legacy().project.list()).data ?? []) as Project[]
},
async current(value?: Parameters<ServerApi["project"]["current"]>[0]) {
const result = await legacy(value?.location).project.current()
if (!result.data) throw new Error("Project not found")
return { id: result.data.id, directory: result.data.worktree } satisfies ProjectCurrent
},
async update(value: Parameters<ServerApi["project"]["update"]>[0]) {
const project = (await legacy().project.list()).data?.find((item) => item.id === value.projectID)
const result = await legacy({ directory: project?.worktree }).project.update({
...value,
directory: project?.worktree,
})
if (!result.data) throw new Error(`Project not found: ${value.projectID}`)
return result.data as Project
},
async directories(value: Parameters<ServerApi["project"]["directories"]>[0]) {
const result = await legacy(value.location).worktree.list()
return (result.data ?? []).map((item) => ({ directory: item }))
},
},
path: {
...input.current.path,
async get(value?: Parameters<ServerApi["path"]["get"]>[0]) {
const result = await legacy(value?.location).path.get()
if (!result.data) throw new Error("Path unavailable")
return result.data
},
},
vcs: {
...input.current.vcs,
async get(value?: Parameters<ServerApi["vcs"]["get"]>[0]) {
const result = await legacy(value?.location).vcs.get()
return located({ branch: result.data?.branch, defaultBranch: undefined }, value?.location)
},
async status(value?: Parameters<ServerApi["vcs"]["status"]>[0]) {
const result = await legacy(value?.location).vcs.status()
return located(result.data ?? [], value?.location)
},
async diff(value: Parameters<ServerApi["vcs"]["diff"]>[0]) {
const result = await legacy(value.location).vcs.diff({
mode: value.mode === "working" ? "git" : value.mode,
context: value.context,
})
return located(
(result.data ?? []).map((file) => ({
file: file.file,
patch: file.patch ?? "",
additions: file.additions,
deletions: file.deletions,
status: file.status ?? "modified",
})),
value.location,
)
},
},
file: {
...input.current.file,
async list(value?: Parameters<ServerApi["file"]["list"]>[0]) {
const result = await legacy(value?.location).file.list({ path: value?.path ?? "" })
return located(result.data ?? [], value?.location)
},
async find(value: Parameters<ServerApi["file"]["find"]>[0]) {
const result = await legacy(value.location).find.files({
query: value.query,
type: value.type,
limit: value.limit,
})
return located(
(result.data ?? []).map((path) => ({ path, type: value.type ?? "file" })),
value.location,
)
},
},
integration: {
...input.current.integration,
async get(value: Parameters<ServerApi["integration"]["get"]>[0]) {
const methods = ((await legacy(value.location).provider.auth()).data?.[value.integrationID] ?? []).map(
(method, index) =>
method.type === "api"
? { type: "key" as const, label: method.label }
: { type: "oauth" as const, id: String(index), label: method.label, prompts: method.prompts },
)
return located(
{
id: value.integrationID,
name: value.integrationID,
methods,
connections: [],
},
value.location,
)
},
connect: {
...input.current.integration.connect,
key: async (value: Parameters<ServerApi["integration"]["connect"]["key"]>[0]) => {
await legacy(value.location).auth.set({
providerID: value.integrationID,
auth: { type: "api", key: value.key },
})
},
},
oauth: {
...input.current.integration.oauth,
connect: async (value: Parameters<ServerApi["integration"]["oauth"]["connect"]>[0]) => {
const method = Number(value.methodID)
const result = await legacy(value.location).provider.oauth.authorize(
{ providerID: value.integrationID, method, inputs: value.inputs },
{ throwOnError: true },
)
if (!result.data) throw new Error("Failed to start OAuth authorization")
return located(
{
attemptID: `${value.integrationID}:${method}`,
url: result.data.url,
instructions: result.data.instructions,
mode: result.data.method,
time: { created: Date.now(), expires: Date.now() + 10 * 60 * 1000 },
},
value.location,
)
},
complete: async (value: Parameters<ServerApi["integration"]["oauth"]["complete"]>[0]) => {
const method = Number(value.attemptID.split(":").at(-1))
await legacy(value.location).provider.oauth.callback(
{ providerID: value.integrationID, method, code: value.code },
{ throwOnError: true },
)
},
status: async (value: Parameters<ServerApi["integration"]["oauth"]["status"]>[0]) => {
const method = Number(value.attemptID.split(":").at(-1))
await legacy(value.location).provider.oauth.callback(
{ providerID: value.integrationID, method },
{ throwOnError: true },
)
return located(
{ status: "complete" as const, time: { created: Date.now(), expires: Date.now() } },
value.location,
)
},
},
},
pty: {
...input.current.pty,
async shells(value?: Parameters<ServerApi["pty"]["shells"]>[0]) {
return located((await legacy(value?.location).pty.shells()).data ?? [], value?.location)
},
async list(value?: Parameters<ServerApi["pty"]["list"]>[0]) {
return located((await legacy(value?.location).pty.list()).data ?? [], value?.location)
},
async create(value?: Parameters<ServerApi["pty"]["create"]>[0]) {
const result = await legacy(value?.location).pty.create({
command: value?.command,
args: value?.args ? [...value.args] : undefined,
cwd: value?.cwd,
title: value?.title,
env: value?.env,
})
if (!result.data) throw new Error("Failed to create terminal")
return located(result.data, value?.location)
},
async get(value: Parameters<ServerApi["pty"]["get"]>[0]) {
const result = await legacy(value.location).pty.get({ ptyID: value.ptyID })
if (!result.data) throw new Error(`Terminal not found: ${value.ptyID}`)
return located(result.data, value.location)
},
async update(value: Parameters<ServerApi["pty"]["update"]>[0]) {
const result = await legacy(value.location).pty.update({
ptyID: value.ptyID,
title: value.title,
size: value.size,
})
if (!result.data) throw new Error(`Terminal not found: ${value.ptyID}`)
return located(result.data, value.location)
},
async remove(value: Parameters<ServerApi["pty"]["remove"]>[0]) {
await legacy(value.location).pty.remove({ ptyID: value.ptyID })
},
async connectToken(value: Parameters<ServerApi["pty"]["connectToken"]>[0]) {
const result = await legacy(value.location).pty.connectToken({ ptyID: value.ptyID })
if (!result.data) throw new Error(`Failed to connect terminal: ${value.ptyID}`)
return located(result.data, value.location)
},
},
permission: {
...input.current.permission,
async reply(value: Parameters<ServerApi["permission"]["reply"]>[0]) {
await legacy().permission.respond({
sessionID: value.sessionID,
permissionID: value.requestID,
response: value.reply,
})
},
},
question: {
...input.current.question,
async reply(value: Parameters<ServerApi["question"]["reply"]>[0]) {
await legacy().question.reply({
requestID: value.requestID,
answers: value.answers.map((answer) => [...answer]),
})
},
async reject(value: Parameters<ServerApi["question"]["reject"]>[0]) {
await legacy().question.reject({ requestID: value.requestID })
},
},
}
}
+4 -34
View File
@@ -14,45 +14,15 @@ function abortFromInput(input: RequestInfo | URL, init?: RequestInit) {
describe("checkServerHealth", () => {
test("returns healthy response with version", async () => {
let request: URL | undefined
const fetch = (async (input: RequestInfo | URL) => {
request = input instanceof URL ? input : new URL(input instanceof Request ? input.url : input)
return new Response(JSON.stringify({ healthy: true, version: "1.2.3" }), {
const fetch = (async () =>
new Response(JSON.stringify({ healthy: true, version: "1.2.3" }), {
status: 200,
headers: { "content-type": "application/json" },
})
}) as unknown as typeof globalThis.fetch
})) as unknown as typeof globalThis.fetch
const result = await checkServerHealth(server, fetch)
expect(result).toEqual({ healthy: true, version: "1.2.3" })
expect(request?.pathname).toBe("/api/health")
})
test("falls back to the V1 health endpoint", async () => {
const paths: string[] = []
const fetch = (async (input: RequestInfo | URL) => {
const url = input instanceof URL ? input : new URL(input instanceof Request ? input.url : input)
paths.push(url.pathname)
if (url.pathname === "/api/health") return new Response(undefined, { status: 404 })
return Response.json({ healthy: true, version: "1.18.4" })
}) as unknown as typeof globalThis.fetch
expect(await checkServerHealth(server, fetch)).toEqual({ healthy: true, version: "1.18.4" })
expect(paths).toEqual(["/api/health", "/global/health"])
})
test("falls back when the current health response is malformed", async () => {
const paths: string[] = []
const fetch = (async (input: RequestInfo | URL) => {
const url = input instanceof URL ? input : new URL(input instanceof Request ? input.url : input)
paths.push(url.pathname)
if (url.pathname === "/api/health") return Response.json({})
return Response.json({ healthy: true, version: "1.18.4" })
}) as unknown as typeof globalThis.fetch
expect(await checkServerHealth(server, fetch)).toEqual({ healthy: true, version: "1.18.4" })
expect(paths).toEqual(["/api/health", "/global/health"])
})
test("allows slow servers thirty seconds by default", async () => {
@@ -172,7 +142,7 @@ describe("checkServerHealth", () => {
retryDelayMs: 1,
})
expect(count).toBe(6)
expect(count).toBe(3)
expect(result).toEqual({ healthy: false })
})
})
+5 -23
View File
@@ -1,7 +1,6 @@
import { usePlatform } from "@/context/platform"
import { ServerConnection } from "@/context/server"
import { authTokenFromCredentials, createSdkForServer } from "./server"
import { ClientError, OpenCode } from "@opencode-ai/client"
import { createSdkForServer } from "./server"
import { Accessor, createEffect, onCleanup } from "solid-js"
import { createStore, reconcile } from "solid-js/store"
@@ -62,7 +61,6 @@ function wait(ms: number, signal?: AbortSignal) {
function retryable(error: unknown, signal?: AbortSignal) {
if (signal?.aborted) return false
if (error instanceof ClientError) return error.reason === "Transport"
if (!(error instanceof Error)) return false
if (error.name === "AbortError" || error.name === "TimeoutError") return false
if (error instanceof TypeError) return true
@@ -84,31 +82,15 @@ export async function checkServerHealth(
.then(() => attempt(count + 1))
.catch(() => ({ healthy: false }))
}
const attempt = async (count: number): Promise<ServerHealth> => {
const current = await OpenCode.make({
baseUrl: server.url,
const attempt = (count: number): Promise<ServerHealth> =>
createSdkForServer({
server,
fetch,
headers: server.password
? {
Authorization: `Basic ${authTokenFromCredentials({ username: server.username, password: server.password })}`,
}
: undefined,
signal,
})
.health.get({ signal })
.then((x) =>
typeof x.healthy === "boolean"
? { data: { healthy: x.healthy, version: x.version } }
: { error: new Error("Invalid health response") },
)
.catch((error) => ({ error }))
if ("data" in current && current.data) return current.data
if (signal?.aborted) return { healthy: false }
return createSdkForServer({ server, fetch, signal })
.global.health()
.then((x) => (x.error ? next(count, x.error) : { healthy: x.data?.healthy === true, version: x.data?.version }))
.catch((error) => next(count, error))
}
return attempt(0).finally(() => timeout?.clear?.())
}
@@ -1,40 +0,0 @@
import { describe, expect, test } from "bun:test"
import { detectServerProtocol } from "./server-protocol"
const server = { url: "http://localhost:4096" }
const json = (value: unknown, status = 200) =>
new Response(JSON.stringify(value), { status, headers: { "content-type": "application/json" } })
const mockFetch = (run: (input: string | URL | Request) => Promise<Response>) =>
Object.assign(run, { preconnect: globalThis.fetch.preconnect })
describe("detectServerProtocol", () => {
test("prefers the legacy health endpoint when both API generations exist", async () => {
const fetcher = mockFetch((input) => {
const path = new URL(input instanceof Request ? input.url : input).pathname
if (path === "/global/health") return Promise.resolve(json({ healthy: true, version: "1.18.4" }))
return Promise.resolve(json({ healthy: true, version: "2.0.0", pid: 123 }))
})
expect(await detectServerProtocol(server, fetcher)).toBe("v1")
})
test("recognizes V2 health by its process identifier", async () => {
const fetcher = mockFetch((input) => {
const path = new URL(input instanceof Request ? input.url : input).pathname
if (path === "/global/health") return Promise.resolve(json({}, 404))
return Promise.resolve(json({ healthy: true, version: "2.0.0", pid: 123 }))
})
expect(await detectServerProtocol(server, fetcher)).toBe("v2")
})
test("recognizes the transitional V1 API health response", async () => {
const fetcher = mockFetch((input) => {
const path = new URL(input instanceof Request ? input.url : input).pathname
if (path === "/global/health") return Promise.resolve(json({}, 404))
return Promise.resolve(json({ healthy: true }))
})
expect(await detectServerProtocol(server, fetcher)).toBe("v1")
})
})
-35
View File
@@ -1,35 +0,0 @@
import type { ServerConnection } from "@/context/server"
import { authTokenFromCredentials } from "./server"
export type ServerProtocol = "v1" | "v2"
function headers(server: ServerConnection.HttpBase) {
if (!server.password) return
return {
Authorization: `Basic ${authTokenFromCredentials({ username: server.username, password: server.password })}`,
}
}
async function probe(server: ServerConnection.HttpBase, fetch: typeof globalThis.fetch, path: string) {
const response = await fetch(new URL(path, server.url), {
headers: headers(server),
signal: AbortSignal.timeout(5_000),
})
if (!response.ok || !response.headers.get("content-type")?.includes("application/json")) return
const value: unknown = await response.json()
if (!value || typeof value !== "object") return
return value
}
export async function detectServerProtocol(
server: ServerConnection.HttpBase,
fetch: typeof globalThis.fetch,
): Promise<ServerProtocol> {
const legacy = await probe(server, fetch, "/global/health").catch(() => undefined)
if (legacy && "healthy" in legacy && legacy.healthy === true) return "v1"
const current = await probe(server, fetch, "/api/health").catch(() => undefined)
if (current && "pid" in current && typeof current.pid === "number") return "v2"
if (current && "healthy" in current && current.healthy === true) return "v1"
return "v2"
}
-21
View File
@@ -1,5 +1,4 @@
import { createOpencodeClient } from "@opencode-ai/sdk/v2/client"
import { OpenCode, type OpenCodeClient } from "@opencode-ai/client/promise"
import type { ServerConnection } from "@/context/server"
import { decode64 } from "@/utils/base64"
@@ -40,23 +39,3 @@ export function createSdkForServer({
baseUrl: server.url,
})
}
export function createApiForServer(input: {
server: ServerConnection.HttpBase
fetch?: typeof globalThis.fetch
}): OpenCodeClient {
return OpenCode.make({
baseUrl: input.server.url,
fetch: input.fetch,
headers: input.server.password
? {
Authorization: `Basic ${authTokenFromCredentials({
username: input.server.username,
password: input.server.password,
})}`,
}
: undefined,
})
}
export type ServerApi = OpenCodeClient
Binary file not shown.
+14 -9
View File
@@ -28,7 +28,7 @@ export type TurnControl = {
type ToolState = {
readonly name: string
input: ToolInput
metadata: Record<string, unknown>
structured: Record<string, unknown>
content: ToolContent
}
@@ -38,7 +38,7 @@ export type TurnStart =
| { readonly type: "compaction"; readonly id: string }
function emptyToolState(): ToolState {
return { name: "tool", input: {}, metadata: {}, content: [] }
return { name: "tool", input: {}, structured: {}, content: [] }
}
export async function streamTurn(input: {
@@ -120,7 +120,7 @@ export async function streamTurn(input: {
}
if (event.type === "session.tool.input.started") {
assistantMessageID = event.data.assistantMessageID
tools.set(event.data.callID, { name: event.data.name, input: {}, metadata: {}, content: [] })
tools.set(event.data.callID, { name: event.data.name, input: {}, structured: {}, content: [] })
await update({
sessionUpdate: "tool_call",
...pendingToolCall({
@@ -151,13 +151,15 @@ export async function streamTurn(input: {
if (event.type === "session.tool.progress") {
const current = tools.get(event.data.callID)
if (!current) continue
current.metadata = event.data.metadata
current.structured = event.data.structured
current.content = event.data.content
await update({
sessionUpdate: "tool_call_update",
...runningToolUpdate({
toolCallId: event.data.callID,
toolName: current.name,
state: { input: current.input },
content: current.content,
cwd: input.cwd,
}),
})
@@ -173,7 +175,7 @@ export async function streamTurn(input: {
cwd: input.cwd,
toolName: current.name,
toolInput: current.input,
metadata: event.data.metadata ?? {},
structured: event.data.structured,
}).catch(() => {})
await update({
sessionUpdate: "tool_call_update",
@@ -181,8 +183,9 @@ export async function streamTurn(input: {
toolCallId: event.data.callID,
toolName: current.name,
input: current.input,
metadata: event.data.metadata,
structured: event.data.structured,
content: event.data.content,
result: event.data.result,
}),
})
continue
@@ -196,7 +199,7 @@ export async function streamTurn(input: {
toolCallId: event.data.callID,
toolName: current.name,
input: current.input,
metadata: event.data.metadata ?? current.metadata,
structured: event.data.metadata ?? current.structured,
content: event.data.content ?? current.content,
error: event.data.error.message,
cwd: input.cwd,
@@ -339,8 +342,9 @@ async function replayMessage(
toolCallId: part.id,
toolName: part.name,
input: part.state.input,
metadata: part.state.metadata,
structured: part.state.structured,
content: part.state.content,
result: part.state.result,
}),
},
})
@@ -354,6 +358,7 @@ async function replayMessage(
toolCallId: part.id,
toolName: part.name,
state: { input: part.state.input },
content: part.state.content,
cwd,
}),
},
@@ -368,7 +373,7 @@ async function replayMessage(
toolCallId: part.id,
toolName: part.name,
input: part.state.input,
metadata: part.state.metadata,
structured: part.state.structured,
content: part.state.content,
error: part.state.error.message,
cwd,
+3 -3
View File
@@ -58,11 +58,11 @@ export async function syncEditedFiles(input: {
readonly cwd: string
readonly toolName: string
readonly toolInput: ToolInput
readonly metadata: Readonly<Record<string, unknown>>
readonly structured: Readonly<Record<string, unknown>>
}) {
if (!input.writeTextFile || !input.connection.writeTextFile || toToolKind(input.toolName) !== "edit") return
const files = Array.isArray(input.metadata.files)
? input.metadata.files.flatMap((file): string[] => {
const files = Array.isArray(input.structured.files)
? input.structured.files.flatMap((file): string[] => {
if (!file || typeof file !== "object") return []
const path = Reflect.get(file, "file")
return typeof path === "string" ? [path] : []
+24 -13
View File
@@ -1,6 +1,5 @@
import { isAbsolute, resolve } from "node:path"
import type { ToolCall, ToolCallContent, ToolCallLocation, ToolCallUpdate, ToolKind } from "@agentclientprotocol/sdk"
import { readDisplayText } from "@opencode-ai/tui/mini/tool"
export type ToolInput = Record<string, unknown>
export type ToolContent = ReadonlyArray<
@@ -101,12 +100,11 @@ export function completedToolUpdate(input: {
readonly toolName: string
readonly input: ToolInput
readonly content: ToolContent
readonly metadata?: Readonly<Record<string, unknown>>
readonly structured: Readonly<Record<string, unknown>>
readonly result?: unknown
}): ToolCallUpdate {
const normalized = toolContent(input.content)
// Read's model content is a JSON page envelope; show the clean text instead.
const firstText = input.content.find((part) => part.type === "text")
const read = input.toolName.toLocaleLowerCase() === "read" && firstText ? readDisplayText(firstText.text) : undefined
const read = input.toolName.toLocaleLowerCase() === "read" ? readDisplayText(input.structured) : undefined
const images = normalized.filter((part) => part.type === "content" && part.content.type === "image")
const primary =
read === undefined
@@ -130,7 +128,8 @@ export function completedToolUpdate(input: {
status: "completed",
content: [...primary, ...diff, ...images],
rawOutput: {
...(input.metadata === undefined ? {} : { metadata: input.metadata }),
structured: input.structured,
...(input.result === undefined ? {} : { result: input.result }),
},
}
}
@@ -139,8 +138,8 @@ export function errorToolUpdate(input: {
readonly toolCallId: string
readonly toolName: string
readonly input: ToolInput
readonly content?: ToolContent
readonly metadata?: Readonly<Record<string, unknown>>
readonly content: ToolContent
readonly structured: Readonly<Record<string, unknown>>
readonly error: string
readonly cwd?: string
}): ToolCallUpdate {
@@ -151,11 +150,8 @@ export function errorToolUpdate(input: {
title: toolTitle(input.toolName, input.input, undefined),
locations: toLocations(input.toolName, input.input, input.cwd),
rawInput: rawInput(input.toolName, input.input, input.cwd),
content: [...toolContent(input.content ?? []), { type: "content", content: { type: "text", text: input.error } }],
rawOutput: {
...(input.metadata === undefined ? {} : { metadata: input.metadata }),
error: input.error,
},
content: [...toolContent(input.content), { type: "content", content: { type: "text", text: input.error } }],
rawOutput: { structured: input.structured, error: input.error },
}
}
@@ -168,6 +164,21 @@ function toolContent(content: ToolContent): ToolCallContent[] {
})
}
function readDisplayText(structured: Readonly<Record<string, unknown>>) {
if (typeof structured.content === "string") {
if (structured.type === "text-page" || structured.encoding === "utf8") return structured.content
}
if (!Array.isArray(structured.entries)) return undefined
return structured.entries
.flatMap((entry): string[] => {
if (typeof entry === "string") return [entry]
if (!entry || typeof entry !== "object") return []
const path = Reflect.get(entry, "path")
return typeof path === "string" ? [path] : []
})
.join("\n")
}
function toolTitle(toolName: string, input: ToolInput, fallback: string | undefined) {
if (isShell(toolName)) return stringValue(input.command) ?? stringValue(input.cmd) ?? fallback ?? toolName
return fallback || toolName
@@ -10,7 +10,6 @@ import {
Reference,
Skill,
} from "@opencode-ai/plugin/v2"
import { Tool } from "@opencode-ai/plugin/v2/tool"
const key = Symbol.for("opencode.plugin.v2.promise")
;(globalThis as typeof globalThis & { [key]?: unknown })[key] = {
@@ -24,5 +23,4 @@ const key = Symbol.for("opencode.plugin.v2.promise")
Provider,
Reference,
Skill,
Tool,
}
+23 -25
View File
@@ -10,7 +10,7 @@ import type {
import { SessionMessage } from "@opencode-ai/schema/session-message"
import { EOL } from "node:os"
import { readFile } from "node:fs/promises"
import { nonEmptyToolContent, toolOutputText, type MiniToolPart } from "@opencode-ai/tui/mini/tool"
import { toolOutputText, type MiniToolPart } from "@opencode-ai/tui/mini/tool"
import { UI } from "./ui"
type Model = {
@@ -55,7 +55,7 @@ type ToolState = StartedPart & {
raw?: string
provider?: unknown
providerState?: SessionMessageAssistantTool["providerState"]
metadata: Record<string, JsonValue>
structured: Record<string, JsonValue>
content: LLMToolContent[]
}
@@ -306,7 +306,7 @@ export async function runNonInteractivePrompt(input: Input) {
assistantMessageID: event.data.assistantMessageID,
tool: event.data.name,
input: {},
metadata: {},
structured: {},
content: [],
})
continue
@@ -334,7 +334,7 @@ export async function runNonInteractivePrompt(input: Input) {
raw: current?.raw,
provider: { executed: event.data.executed, state: event.data.state },
providerState: event.data.state,
metadata: {},
structured: {},
content: [],
})
continue
@@ -342,7 +342,8 @@ export async function runNonInteractivePrompt(input: Input) {
if (event.type === "session.tool.progress") {
const current = tools.get(toolKey(event.data.assistantMessageID, event.data.callID))
if (current) {
current.metadata = event.data.metadata
current.structured = event.data.structured
current.content = event.data.content
}
continue
}
@@ -359,8 +360,9 @@ export async function runNonInteractivePrompt(input: Input) {
state: {
status: "completed",
input: current.input,
metadata: event.data.metadata,
structured: event.data.structured,
content: event.data.content,
result: event.data.result,
},
time: { created: current.timestamp, ran: current.timestamp, completed: time },
}
@@ -377,8 +379,9 @@ export async function runNonInteractivePrompt(input: Input) {
output: toolOutputText(current.tool, event.data.content),
title: current.tool,
metadata: {
metadata: event.data.metadata,
structured: event.data.structured,
content: event.data.content,
result: event.data.result,
providerCall: current.provider,
providerResult: { executed: event.data.executed, state: event.data.resultState },
rawInput: current.raw,
@@ -395,8 +398,8 @@ export async function runNonInteractivePrompt(input: Input) {
const key = toolKey(event.data.assistantMessageID, event.data.callID)
const current = tools.get(key) ?? fallbackTool(event)
const error = event.data.error.message
const metadata = event.data.metadata ?? current.metadata
const content = event.data.content ?? nonEmptyToolContent(current.content)
const structured = event.data.metadata ?? current.structured
const content = event.data.content ?? current.content
const tool: SessionMessageAssistantTool = {
type: "tool",
id: event.data.callID,
@@ -407,9 +410,10 @@ export async function runNonInteractivePrompt(input: Input) {
state: {
status: "error",
input: current.input,
metadata,
structured,
content,
error: event.data.error,
result: event.data.result,
},
time: { created: current.timestamp, ran: current.timestamp, completed: time },
}
@@ -425,6 +429,7 @@ export async function runNonInteractivePrompt(input: Input) {
input: current.input,
error,
metadata: {
result: event.data.result,
providerCall: current.provider,
providerResult: { executed: event.data.executed, state: event.data.resultState },
rawInput: current.raw,
@@ -436,14 +441,15 @@ export async function runNonInteractivePrompt(input: Input) {
renderedTools.add(key)
if (input.compatibility === "v1" && (permissionRejected || formCancelled)) continue
if (!emit("tool_use", time, { part })) {
if (content && toolOutputText(current.tool, content).trim())
if (toolOutputText(current.tool, content).trim())
await input.renderTool({
...tool,
state: {
status: "completed",
input: current.input,
metadata,
structured,
content,
result: event.data.result,
},
})
await input.renderToolError(tool)
@@ -591,14 +597,14 @@ export async function runNonInteractivePrompt(input: Input) {
input: item.state.input,
output: toolOutputText(item.name, item.state.content),
title: item.name,
metadata: { metadata: item.state.metadata, content: item.state.content },
metadata: { structured: item.state.structured, content: item.state.content, result: item.state.result },
time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },
}
: {
status: "error",
input: item.state.input,
error: item.state.error.message,
metadata: { metadata: item.state.metadata, content: item.state.content },
metadata: { structured: item.state.structured, content: item.state.content, result: item.state.result },
time: { start: item.time.ran ?? item.time.created, end: item.time.completed ?? timestamp },
},
}
@@ -608,16 +614,8 @@ export async function runNonInteractivePrompt(input: Input) {
await input.renderTool(item)
continue
}
if (item.state.content && toolOutputText(item.name, item.state.content).trim()) {
await input.renderTool({
...item,
state: {
status: "completed",
input: item.state.input,
metadata: item.state.metadata,
content: item.state.content,
},
})
if (toolOutputText(item.name, item.state.content).trim()) {
await input.renderTool({ ...item, state: { ...item.state, status: "completed" } })
}
await input.renderToolError(item)
UI.error(item.state.error.message)
@@ -794,7 +792,7 @@ function fallbackTool(event: {
assistantMessageID: event.data.assistantMessageID,
tool: "tool",
input: {},
metadata: {},
structured: {},
content: [],
}
}
+18 -11
View File
@@ -218,7 +218,8 @@ describe("acp event behavior", () => {
sessionID: "ses_tools",
assistantMessageID: "msg_tools",
callID: "call_ok",
metadata: { phase: 1 },
structured: { phase: 1 },
content: [{ type: "text", text: "working" }],
}),
)
send(
@@ -226,8 +227,9 @@ describe("acp event behavior", () => {
sessionID: "ses_tools",
assistantMessageID: "msg_tools",
callID: "call_ok",
metadata: { exit: 0 },
structured: { exit: 0 },
content: [{ type: "text", text: "done" }],
result: { code: 0 },
executed: true,
}),
)
@@ -253,7 +255,8 @@ describe("acp event behavior", () => {
sessionID: "ses_tools",
assistantMessageID: "msg_tools",
callID: "call_fail",
metadata: { bytes: 0 },
structured: { bytes: 0 },
content: [{ type: "text", text: "opening" }],
}),
)
send(
@@ -310,10 +313,12 @@ describe("acp event behavior", () => {
locations: [{ path: resolve("/workspace", "sub") }],
rawInput: { command: "printf done", workdir: "sub" },
})
expect(updates[2]?.update).not.toHaveProperty("content")
expect(updates[2]?.update).toMatchObject({
content: [{ type: "content", content: { type: "text", text: "working" } }],
})
expect(updates[3]?.update).toMatchObject({
content: [{ type: "content", content: { type: "text", text: "done" } }],
rawOutput: { metadata: { exit: 0 } },
rawOutput: { structured: { exit: 0 }, result: { code: 0 } },
})
expect(updates[7]?.update).toMatchObject({
kind: "read",
@@ -322,7 +327,7 @@ describe("acp event behavior", () => {
{ type: "content", content: { type: "text", text: "opening" } },
{ type: "content", content: { type: "text", text: "not found" } },
],
rawOutput: { metadata: { bytes: 0 }, error: "not found" },
rawOutput: { structured: { bytes: 0 }, error: "not found" },
})
expect(response.stopReason).toBe("end_turn")
} finally {
@@ -374,7 +379,7 @@ describe("acp event behavior", () => {
{ type: "content", content: { type: "text", text: "done" } },
{ type: "content", content: { type: "image", mimeType: "image/png", data: "AAAA" } },
],
rawOutput: { metadata: { exit: 0 } },
rawOutput: { structured: { exit: 0 }, result: { code: 0 } },
})
expect(updates[8]?.update).toMatchObject({
toolCallId: "call_running",
@@ -613,11 +618,12 @@ function replayFixtureMessages(): SessionMessageInfo[] {
state: {
status: "completed",
input: { command: "printf done" },
metadata: { exit: 0 },
structured: { exit: 0 },
content: [
{ type: "text", text: "done" },
{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png", name: "image.png" },
],
result: { code: 0 },
},
},
{
@@ -628,7 +634,8 @@ function replayFixtureMessages(): SessionMessageInfo[] {
state: {
status: "running",
input: { command: "pwd" },
metadata: {},
structured: {},
content: [{ type: "text", text: "/workspace" }],
},
},
{
@@ -639,7 +646,7 @@ function replayFixtureMessages(): SessionMessageInfo[] {
state: {
status: "error",
input: { filePath: "/workspace/missing.ts" },
metadata: { bytes: 0 },
structured: { bytes: 0 },
content: [{ type: "text", text: "partial" }],
error: { type: "tool.error", message: "failed hard" },
},
@@ -672,7 +679,7 @@ function replayToolMessage(id: string) {
state: {
status: "completed",
input: { command: "printf done" },
metadata: { exit: 0 },
structured: { exit: 0 },
content: [{ type: "text", text: "done" }],
},
},
@@ -28,7 +28,7 @@ describe("acp permission behavior", () => {
cwd: "/workspace",
toolName: "edit",
toolInput: { filePath: "/workspace/file.ts" },
metadata: {},
structured: {},
})
expect(writes).toEqual([])
@@ -193,7 +193,7 @@ describe("acp permission behavior", () => {
sessionID: "ses_edit",
assistantMessageID: "msg_edit",
callID: "call_edit",
metadata: { files: [{ file: "file.ts" }], replacements: 1 },
structured: { files: [{ file: "file.ts" }], replacements: 1 },
content: [{ type: "text", text: "edited" }],
executed: true,
}),
@@ -286,7 +286,7 @@ describe("acp permission behavior", () => {
sessionID: "ses_patch",
assistantMessageID: "msg_patch",
callID: "call_patch",
metadata: { files: [{ file: "first.ts" }, { file: "second.ts" }] },
structured: { files: [{ file: "first.ts" }, { file: "second.ts" }] },
content: [{ type: "text", text: "patched" }],
executed: true,
}),
+30 -33
View File
@@ -63,7 +63,7 @@ describe("acp tools", () => {
{ type: "file", mime: "image/png", name: "image.png", uri: `data:image/png;base64,${image}` },
{ type: "file", mime: "text/plain", name: "note.txt", uri: "data:text/plain;base64,bm90ZQ==" },
],
metadata: {},
structured: {},
}).content,
).toEqual([
{
@@ -93,7 +93,7 @@ describe("acp tools", () => {
content: "created",
},
content: [{ type: "text", text: "wrote /tmp/file.ts" }],
metadata: {},
structured: {},
}).content,
).toEqual([
{
@@ -103,22 +103,20 @@ describe("acp tools", () => {
])
})
test("unwraps read's JSON page envelope instead of showing model-facing formatting", () => {
test("uses clean structured read content instead of model-facing formatting", () => {
expect(
completedToolUpdate({
toolCallId: "tool-read",
toolName: "read",
input: { path: "/tmp/file.ts" },
content: [
{
type: "text",
text: JSON.stringify(
{ type: "text-page", content: "first\nsecond", mime: "text/plain", offset: 1, truncated: false },
null,
2,
),
},
],
content: [{ type: "text", text: "<content>1: first\n2: second</content>" }],
structured: {
type: "text-page",
content: "first\nsecond",
mime: "text/plain",
offset: 1,
truncated: false,
},
}).content,
).toEqual([{ type: "content", content: { type: "text", text: "first\nsecond" } }])
@@ -127,17 +125,13 @@ describe("acp tools", () => {
toolCallId: "tool-list",
toolName: "read",
input: { path: "/tmp" },
content: [
{
type: "text",
text: JSON.stringify({
entries: [
{ path: "a.ts", type: "file" },
{ path: "src", type: "directory" },
],
}),
},
],
content: [],
structured: {
entries: [
{ path: "a.ts", type: "file" },
{ path: "src", type: "directory" },
],
},
}).content,
).toEqual([{ type: "content", content: { type: "text", text: "a.ts\nsrc" } }])
})
@@ -177,7 +171,7 @@ describe("acp tools", () => {
newString: "after",
},
content: [{ type: "text", text: "Edit applied successfully." }],
metadata: { output: "Edit applied successfully." },
structured: { output: "Edit applied successfully." },
}),
).toEqual({
toolCallId: "tool-1",
@@ -195,7 +189,7 @@ describe("acp tools", () => {
},
],
rawOutput: {
metadata: { output: "Edit applied successfully." },
structured: { output: "Edit applied successfully." },
},
})
})
@@ -215,7 +209,7 @@ describe("acp tools", () => {
})
})
test("builds completed raw output with optional metadata", () => {
test("builds completed raw output with structured data and optional result", () => {
const attachments = [
{
type: "file",
@@ -231,10 +225,12 @@ describe("acp tools", () => {
toolName: "read",
input: {},
content: [],
metadata: { output: "done", metadata: { exit: 0 }, attachments },
structured: { output: "done", metadata: { exit: 0 }, attachments },
result: "done",
}).rawOutput,
).toEqual({
metadata: { output: "done", metadata: { exit: 0 }, attachments },
structured: { output: "done", metadata: { exit: 0 }, attachments },
result: "done",
})
expect(
@@ -243,8 +239,9 @@ describe("acp tools", () => {
toolName: "read",
input: {},
content: [],
structured: { output: "done" },
}).rawOutput,
).toEqual({})
).toEqual({ structured: { output: "done" } })
})
test("extracts image attachments only from data URLs", () => {
@@ -258,7 +255,7 @@ describe("acp tools", () => {
{ type: "file", mime: "image/png", uri: "https://example.com/image.png" },
{ type: "file", mime: "text/plain", uri: "data:text/plain;base64,BBBB" },
],
metadata: {},
structured: {},
}).content,
).toEqual([
{
@@ -275,7 +272,7 @@ describe("acp tools", () => {
toolName: "read",
input: { filePath: "/tmp/a" },
content: [{ type: "text", text: "partial output" }],
metadata: { path: "/tmp/a" },
structured: { path: "/tmp/a" },
error: "failed",
}),
).toEqual({
@@ -289,7 +286,7 @@ describe("acp tools", () => {
{ type: "content", content: { type: "text", text: "partial output" } },
{ type: "content", content: { type: "text", text: "failed" } },
],
rawOutput: { metadata: { path: "/tmp/a" }, error: "failed" },
rawOutput: { structured: { path: "/tmp/a" }, error: "failed" },
})
})
})
+1 -6
View File
@@ -23,12 +23,7 @@ describe("CLI frontend import boundaries", () => {
expect(Object.keys(run).sort()).toEqual(["runNonInteractive", "runV1Bridge"])
expect(Object.keys(mini).sort()).toEqual(["runMiniFrontend"])
expect(Object.keys(tool).sort()).toEqual([
"nonEmptyToolContent",
"readDisplayText",
"toolInlineInfo",
"toolOutputText",
])
expect(Object.keys(tool).sort()).toEqual(["toolInlineInfo", "toolOutputText"])
expect(Object.keys(cli.exports).filter((key) => key === "./mini" || key.startsWith("./mini/"))).toEqual([])
})
+14 -11
View File
@@ -134,14 +134,15 @@ function failedTool(inputID: string): V2Event[] {
sessionID: "ses_1",
assistantMessageID: "msg_failed_tool",
callID: "call_failed_tool",
metadata: { checkpoint: 1 },
structured: { checkpoint: 1 },
content: [{ type: "text", text: "partial output" }],
},
},
{
id: "evt_failed_tool_terminal",
created: 4,
type: "session.tool.failed",
durable: { aggregateID: "ses_1", seq: 4, version: 2 },
durable: { aggregateID: "ses_1", seq: 4, version: 1 },
data: {
sessionID: "ses_1",
assistantMessageID: "msg_failed_tool",
@@ -189,12 +190,12 @@ function successfulGrep(inputID: string): V2Event[] {
id: "evt_grep_success",
created: 3,
type: "session.tool.success",
durable: { aggregateID: "ses_1", seq: 3, version: 2 },
durable: { aggregateID: "ses_1", seq: 3, version: 1 },
data: {
sessionID: "ses_1",
assistantMessageID: "msg_grep",
callID: "call_grep",
metadata: { matches: 2 },
structured: { matches: 2 },
content: [{ type: "text", text }],
executed: false,
},
@@ -257,7 +258,9 @@ async function run(input: {
spyOn(sdk.session, "wait").mockImplementation(() => input.wait?.() ?? wait.promise)
spyOn(sdk.message, "list").mockImplementation(() =>
ok({
data: input.messages?.(promptID) ?? [{ id: promptID, type: "user", text: "hello", time: { created: 1 } }],
data: input.messages?.(promptID) ?? [
{ id: promptID, type: "user", text: "hello", time: { created: 1 } },
],
cursor: {},
}),
)
@@ -313,7 +316,7 @@ afterEach(() => {
})
describe("runNonInteractivePrompt", () => {
test("keeps formatted tool output and compact tool metadata in JSON", async () => {
test("keeps formatted tool output and compact structured metadata in JSON", async () => {
const output = await capture({ format: "json", turn: successfulGrep })
const events = output.stdout
.split("\n")
@@ -329,13 +332,13 @@ describe("runNonInteractivePrompt", () => {
status: "completed",
output: expect.stringContaining("Found 2 matches"),
metadata: {
metadata: { matches: 2 },
structured: { matches: 2 },
content: [{ type: "text", text: expect.stringContaining("/src/a.ts") }],
},
},
},
})
expect(events[0].part.state.metadata.metadata).toEqual({ matches: 2 })
expect(events[0].part.state.metadata.structured).toEqual({ matches: 2 })
expect(events[0].part.state.metadata.result).toBeUndefined()
})
@@ -531,7 +534,7 @@ describe("runNonInteractivePrompt", () => {
id: "call_failed_tool",
state: {
status: "completed",
metadata: { checkpoint: 1 },
structured: { checkpoint: 1 },
content: [{ type: "text", text: "partial output" }],
},
},
@@ -541,7 +544,7 @@ describe("runNonInteractivePrompt", () => {
id: "call_failed_tool",
state: {
status: "error",
metadata: { checkpoint: 1 },
structured: { checkpoint: 1 },
content: [{ type: "text", text: "partial output" }],
error: { message: "tool failed" },
},
@@ -571,7 +574,7 @@ describe("runNonInteractivePrompt", () => {
},
})
expect(events[0].part.state.output).toBeUndefined()
expect(events[0].part.state.metadata.metadata).toBeUndefined()
expect(events[0].part.state.metadata.structured).toBeUndefined()
expect(events[0].part.state.metadata.content).toBeUndefined()
expect(output.stderr).toBe("")
})
+4 -8
View File
@@ -75,10 +75,6 @@ export const define = sdk.Plugin.define`
const effectPluginModule = promisePluginModule
.replace("opencode.plugin.v2.promise", "opencode.plugin.v2.effect")
.replace("Promise plugin", "Effect plugin")
const promiseToolModule = `const sdk = globalThis[Symbol.for("opencode.plugin.v2.promise")]
if (!sdk) throw new Error("OpenCode Promise plugin SDK is unavailable")
export const Tool = sdk.Tool
export const make = sdk.Tool.make`
const effectToolModule = `const sdk = globalThis[Symbol.for("opencode.plugin.v2.effect")]
if (!sdk) throw new Error("OpenCode Effect plugin SDK is unavailable")
export const Tool = sdk.Tool
@@ -87,8 +83,10 @@ export const RegistrationError = sdk.Tool.RegistrationError
export const make = sdk.Tool.make
export const validateName = sdk.Tool.validateName
export const registrationEntries = sdk.Tool.registrationEntries
export const validateNamespace = sdk.Tool.validateNamespace
export const toLLMDefinition = sdk.Tool.toLLMDefinition`
export const withPermission = sdk.Tool.withPermission
export const permission = sdk.Tool.permission
export const definition = sdk.Tool.definition
export const settle = sdk.Tool.settle`
return `#!/usr/bin/env -S node ${nodeExecArgv.join(" ")}
import __cjs_mod__ from "node:module"
import { chmodSync as __ocChmod, existsSync as __ocExists, lstatSync as __ocLstat, mkdirSync as __ocMkdir, renameSync as __ocRename, rmSync as __ocRm, writeFileSync as __ocWrite } from "node:fs"
@@ -102,7 +100,6 @@ const require = __cjs_mod__.createRequire(import.meta.url)
const __ocPluginModules = ${JSON.stringify({
"@opencode-ai/plugin/v2": "opencode:plugin-v2",
"@opencode-ai/plugin/v2/plugin": "opencode:plugin-v2-plugin",
"@opencode-ai/plugin/v2/tool": "opencode:plugin-v2-tool",
"@opencode-ai/plugin/v2/effect": "opencode:plugin-v2-effect",
"@opencode-ai/plugin/v2/effect/plugin": "opencode:plugin-v2-effect-plugin",
"@opencode-ai/plugin/v2/effect/tool": "opencode:plugin-v2-effect-tool",
@@ -110,7 +107,6 @@ const __ocPluginModules = ${JSON.stringify({
const __ocPluginSources = ${JSON.stringify({
"opencode:plugin-v2": promiseModule,
"opencode:plugin-v2-plugin": promisePluginModule,
"opencode:plugin-v2-tool": promiseToolModule,
"opencode:plugin-v2-effect": effectModule,
"opencode:plugin-v2-effect-plugin": effectPluginModule,
"opencode:plugin-v2-effect-tool": effectToolModule,
+35 -24
View File
@@ -104,12 +104,6 @@ export type SessionMessageProviderState = { [x: string]: JsonValue }
export type SessionMessageToolStateStreaming = { status: "streaming"; input: string }
export type SessionMessageToolStateRunning = {
status: "running"
input: { [x: string]: JsonValue }
metadata: { [x: string]: JsonValue }
}
export type ToolTextContent = { type: "text"; text: string }
export type ToolFileContent = { type: "file"; uri: string; mime: string; name?: string }
@@ -924,15 +918,6 @@ export type SessionToolInputDelta = {
data: { sessionID: string; assistantMessageID: string; callID: string; delta: string }
}
export type SessionToolProgress = {
id: string
created: number
metadata?: { [x: string]: any }
type: "session.tool.progress"
location?: LocationRef
data: { sessionID: string; assistantMessageID: string; callID: string; metadata: { [x: string]: JsonValue } }
}
export type SessionCompactionDelta = {
id: string
created: number
@@ -1824,19 +1809,28 @@ export type SessionPendingUserData1 = {
metadata?: { [x: string]: any }
}
export type SessionMessageToolStateRunning = {
status: "running"
input: { [x: string]: JsonValue }
structured: { [x: string]: JsonValue }
content: Array<LLMToolContent>
}
export type SessionMessageToolStateCompleted = {
status: "completed"
input: { [x: string]: JsonValue }
content: [LLMToolContent, ...Array<LLMToolContent>]
metadata?: { [x: string]: JsonValue }
content: Array<LLMToolContent>
structured: { [x: string]: JsonValue }
result?: JsonValue
}
export type SessionMessageToolStateError = {
status: "error"
input: { [x: string]: JsonValue }
content: Array<LLMToolContent>
structured: { [x: string]: JsonValue }
error: SessionStructuredError
content?: [LLMToolContent, ...Array<LLMToolContent>]
metadata?: { [x: string]: JsonValue }
result?: JsonValue
}
export type SessionToolSuccess = {
@@ -1844,14 +1838,15 @@ export type SessionToolSuccess = {
created: number
metadata?: { [x: string]: any }
type: "session.tool.success"
durable: { aggregateID: string; seq: number; version: 2 }
durable: { aggregateID: string; seq: number; version: 1 }
location?: LocationRef
data: {
sessionID: string
assistantMessageID: string
callID: string
content: [LLMToolContent, ...Array<LLMToolContent>]
metadata?: { [x: string]: JsonValue }
structured: { [x: string]: any }
content: Array<LLMToolContent>
result?: any
executed: boolean
resultState?: SessionMessageProviderState6
}
@@ -1862,7 +1857,7 @@ export type SessionToolFailed = {
created: number
metadata?: { [x: string]: any }
type: "session.tool.failed"
durable: { aggregateID: string; seq: number; version: 2 }
durable: { aggregateID: string; seq: number; version: 1 }
location?: LocationRef
data: {
sessionID: string
@@ -1870,12 +1865,28 @@ export type SessionToolFailed = {
callID: string
error: SessionStructuredError
content?: [LLMToolContent, ...Array<LLMToolContent>]
metadata?: { [x: string]: JsonValue }
metadata?: { [x: string]: any }
result?: any
executed: boolean
resultState?: SessionMessageProviderState7
}
}
export type SessionToolProgress = {
id: string
created: number
metadata?: { [x: string]: any }
type: "session.tool.progress"
location?: LocationRef
data: {
sessionID: string
assistantMessageID: string
callID: string
structured: { [x: string]: any }
content: Array<LLMToolContent>
}
}
export type SessionMessageCompaction =
| SessionMessageCompactionRunning
| SessionMessageCompactionCompleted
+11 -10
View File
@@ -33,7 +33,7 @@ const lookupOrder = Tool.make({
description: "Look up an order by ID",
input: Schema.Struct({ id: Schema.String }),
output: Schema.Struct({ id: Schema.String, status: Schema.String }),
execute: ({ id }) => Effect.succeed({ id, status: "open" }),
run: ({ id }) => Effect.succeed({ id, status: "open" }),
})
const runtime = CodeMode.make({
@@ -55,10 +55,10 @@ const result = await Effect.runPromise(
### `Tool.make`
`input` and `output` accept either an Effect Schema or a render-only JSON Schema document. Effect Schema input is
decoded before `execute`; Effect Schema output is decoded and safely copied before the program sees it. JSON Schemas
only shape the model-visible signature. Without `output`, the signature uses `Promise<void>`.
decoded before `run`; Effect Schema output is decoded and safely copied before the program sees it. JSON Schemas only
shape the model-visible signature. Without `output`, the signature uses `Promise<unknown>`.
Descriptions and schemas are model-visible contracts. Authorization belongs in `execute`.
Descriptions and schemas are model-visible contracts. Authorization belongs in `run`.
Dots in tool names create namespaces: `{ "issues.list": tool }` and `{ issues: { list: tool } }` both expose
`tools.issues.list(...)`. Other characters use bracket notation, such as
@@ -72,6 +72,7 @@ Dots in tool names create namespaces: `{ "issues.list": tool }` and `{ issues: {
const runtime = CodeMode.make({ tools, limits: { timeoutMs: 30_000 } })
runtime.catalog() // structured tool descriptions
runtime.instructions() // model-facing syntax and tool guide
runtime.execute(source) // Effect<CodeMode.Result, never, ToolServices>
```
@@ -144,13 +145,13 @@ safe refusal to the model; its optional cause remains private.
## Discovery
`runtime.catalog()` returns structured descriptors — exact path, description, and generated TypeScript signature — for
every visible tool. Hosts render their own model-facing instructions from these descriptors; `CodeMode.searchSignature`
and `CodeMode.toolExpression(path)` supply the exact callable forms.
Generated instructions contain a tool catalog with a default budget of 2,000 estimated tokens. Configure it with
`discovery: { catalogBudget }`. Every namespace remains visible, and the instructions say whether the catalog is
complete or partial.
The synchronous `search(...)` built-in is always available. It supports exact-path lookup, namespace-scoped search,
empty-query browsing, and pagination, and returns callable paths with full signatures. Search counts toward
`maxToolCalls`.
The synchronous `search(...)` built-in is always available and advertised when the catalog is partial. It supports
exact-path lookup, namespace-scoped search, empty-query browsing, and pagination, and returns callable paths with full
signatures. Search counts toward `maxToolCalls`.
## Execution Limits
+1 -1
View File
@@ -188,7 +188,7 @@ ultimate source of truth.
first-call-wins resolve/reject functions, and ignore throws after settlement. Inherited/accessor `then` fields
and a JavaScript `this` receiver remain outside the supported object/function model.
- [x] Dotted tool names are canonicalized into namespace paths; a path can be both callable and a namespace, and the
last tool supplied for a canonical path wins.
last definition supplied for a canonical path wins.
- [x] Tool path segments may be named `constructor`, `prototype`, or `__proto__` because paths use inert Map keys.
- [x] Outbound tool arguments follow JSON serialization semantics, like `JSON.stringify`: object properties with
`undefined` values are dropped, `undefined` array elements and non-finite numbers become `null`, and sparse
+13 -4
View File
@@ -5,8 +5,6 @@ import type { Tools } from "./tools.js"
/** A tool call admitted during an execution. */
export type { ToolCall, ToolCallEnded, ToolCallHooks, ToolCallStarted, ToolDescription } from "./tool-runtime.js"
/** Signature-construction helpers for host-owned catalog instructions. */
export { searchSignature, toolExpression } from "./tool-runtime.js"
/** Resource budgets enforced independently during each CodeMode program execution. */
export type ExecutionLimits = {
@@ -24,6 +22,12 @@ export type ExecutionLimits = {
readonly maxOutputBytes?: number
}
/** Controls how much of the tool catalog is inlined in agent instructions. */
export type DiscoveryOptions = {
/** Approximate token budget (chars/4, default 2000) for full catalog entries. */
readonly catalogBudget?: number
}
export type ResolvedExecutionLimits = {
readonly timeoutMs: number | undefined
readonly maxToolCalls: number | undefined
@@ -48,7 +52,10 @@ export type ExecuteOptions<Provided extends Record<string, unknown> = {}> = {
export type DataValue = Schema.Json
/** Configuration shared by `CodeMode.make` and `CodeMode.execute`. */
export type Options<Provided extends Record<string, unknown> = {}> = Omit<ExecuteOptions<Provided>, "code">
export type Options<Provided extends Record<string, unknown> = {}> = Omit<ExecuteOptions<Provided>, "code"> & {
/** Progressive-disclosure configuration for the agent-facing tool catalog. */
readonly discovery?: DiscoveryOptions
}
/** Schema for a host tool input containing CodeMode source. */
export const Input = Schema.Struct({ code: Schema.String })
@@ -109,6 +116,7 @@ export type Result = typeof Result.Type
/** Reusable confined runtime over explicit tools. */
export type Runtime<R = never> = {
readonly catalog: () => ReadonlyArray<ToolDescription>
readonly instructions: () => string
readonly execute: (code: string) => Effect.Effect<Result, never, R>
}
@@ -139,10 +147,11 @@ export const make = <const Provided extends Record<string, unknown> = {}>(
): Runtime<Services<Provided>> => {
const tools = (options.tools ?? {}) as Tools<Services<Provided>>
const limits = resolveExecutionLimits(options.limits)
const prepared = ToolRuntime.prepare(tools)
const prepared = ToolRuntime.prepare(tools, options.discovery?.catalogBudget)
return {
catalog: () => prepared.catalog,
instructions: () => prepared.instructions,
execute: (code) => executeWithLimits<Provided>({ ...options, code }, limits, prepared.searchIndex),
}
}
-1
View File
@@ -1,5 +1,4 @@
export * as CodeMode from "./codemode.js"
export * as Tool from "./tool.js"
export * as OpenAPI from "./openapi/index.js"
export { searchSignature, toolExpression } from "./codemode.js"
export { ToolError, toolError } from "./tool-error.js"
+1 -1
View File
@@ -45,7 +45,7 @@ export const executeWithLimits = <const Provided extends Record<string, unknown>
const program = parseProgram(options.code)
const promises = new PromiseRuntime<Services<Provided>>(scope)
const interpreter = new Interpreter<Services<Provided>>(
tools.execute,
tools.invoke,
tools.search,
tools.keys,
promises,
+5 -8
View File
@@ -271,10 +271,7 @@ const promiseResolutionNode: AstNode = { type: "PromiseResolution" }
export class Interpreter<R> {
private scopes: ScopeStack
private readonly executeTool: (
path: ReadonlyArray<string>,
args: Array<unknown>,
) => Effect.Effect<unknown, unknown, R>
private readonly invokeTool: (path: ReadonlyArray<string>, args: Array<unknown>) => Effect.Effect<unknown, unknown, R>
private readonly invokeSearch: (args: Array<unknown>) => Effect.Effect<unknown, unknown, R>
private readonly toolKeys: (path: ReadonlyArray<string>) => ReadonlyArray<string>
private readonly logs: Array<string>
@@ -289,7 +286,7 @@ export class Interpreter<R> {
}
constructor(
executeTool: (path: ReadonlyArray<string>, args: Array<unknown>) => Effect.Effect<unknown, unknown, R>,
invokeTool: (path: ReadonlyArray<string>, args: Array<unknown>) => Effect.Effect<unknown, unknown, R>,
invokeSearch: (args: Array<unknown>) => Effect.Effect<unknown, unknown, R>,
toolKeys: (path: ReadonlyArray<string>) => ReadonlyArray<string>,
promises: PromiseRuntime<R>,
@@ -297,7 +294,7 @@ export class Interpreter<R> {
) {
const globalScope = new Map<string, Binding>()
this.scopes = new ScopeStack([globalScope])
this.executeTool = executeTool
this.invokeTool = invokeTool
this.invokeSearch = invokeSearch
this.toolKeys = toolKeys
this.logs = logs
@@ -372,7 +369,7 @@ export class Interpreter<R> {
path: ReadonlyArray<string>,
args: Array<unknown>,
): Effect.Effect<CodeModePromise, never, R> {
return this.createPromise(Effect.suspend(() => this.executeTool(path, args)))
return this.createPromise(Effect.suspend(() => this.invokeTool(path, args)))
}
private createPromise(effect: Effect.Effect<unknown, unknown, R>): Effect.Effect<CodeModePromise, never, R> {
@@ -2082,7 +2079,7 @@ export class Interpreter<R> {
}
private invokeFunction(fn: CodeModeFunction, args: Array<unknown>): Effect.Effect<unknown, unknown, R> {
const invocation = new Interpreter(this.executeTool, this.invokeSearch, this.toolKeys, this.promises, this.logs)
const invocation = new Interpreter(this.invokeTool, this.invokeSearch, this.toolKeys, this.promises, this.logs)
invocation.scopes = new ScopeStack([...fn.capturedScopes, new Map()])
const run = Effect.gen(function* () {
// Seed all parameters first so defaults cannot fall through to same-named outer bindings.
+5 -5
View File
@@ -1,5 +1,5 @@
import { HttpClient } from "effect/unstable/http"
import { make, type Tool } from "../tool.js"
import { make, type Definition } from "../tool.js"
import { invoke } from "./runtime.js"
import {
componentDefinitions,
@@ -108,7 +108,7 @@ export const fromSpec = (options: Options): Result => {
description: operation.description ?? operation.summary ?? `${operation.method} ${path}`,
input: inputSchema(input.fields, requestDefinitions),
output: output.value,
execute: (input) => invoke(plan, input),
run: (input) => invoke(plan, input),
}),
)
}
@@ -117,16 +117,16 @@ export const fromSpec = (options: Options): Result => {
return { tools, skipped }
}
const setTool = (tools: Tools, path: ReadonlyArray<string>, tool: Tool<HttpClient.HttpClient>): void => {
const setTool = (tools: Tools, path: ReadonlyArray<string>, definition: Definition<HttpClient.HttpClient>): void => {
const [head, ...rest] = path
if (head === undefined) return
if (rest.length === 0) {
tools[head] = tool
tools[head] = definition
return
}
const child = tools[head]
if (child === undefined || !isRecord(child) || child._tag === "CodeModeTool") {
tools[head] = Object.create(null) as Tools
}
setTool(tools[head] as Tools, rest, tool)
setTool(tools[head] as Tools, rest, definition)
}
+2 -2
View File
@@ -1,6 +1,6 @@
import { Effect } from "effect"
import { HttpClient } from "effect/unstable/http"
import type { Tool, JsonSchema } from "../tool.js"
import type { Definition, JsonSchema } from "../tool.js"
/** A parsed OpenAPI 3.x document. YAML must be parsed by the host. */
export type Document = Record<string, unknown>
@@ -58,7 +58,7 @@ export type Skipped = {
readonly reason: string
}
export type Tools = { [name: string]: Tool<HttpClient.HttpClient> | Tools }
export type Tools = { [name: string]: Definition<HttpClient.HttpClient> | Tools }
export type Result = {
/** Namespaced tools; the host places them under a key in its `tools` object. */
+191 -53
View File
@@ -8,7 +8,7 @@ import {
inputTypeScript,
outputTypeScript,
} from "./tool-schema.js"
import { isTool, type Tool } from "./tool.js"
import { isDefinition as isToolDefinition, type Definition } from "./tool.js"
import type { Tools } from "./tools.js"
import {
CodeModeDate,
@@ -20,7 +20,7 @@ import {
CodeModeURLSearchParams,
} from "./values.js"
const compareText = (left: string, right: string) => (left < right ? -1 : left > right ? 1 : 0)
const estimateTokens = (input: string) => Math.max(0, Math.round(input.length / 4))
export type Services<T> = ServicesOf<T, []>
@@ -28,7 +28,7 @@ type ServicesOf<T, Depth extends ReadonlyArray<unknown>> = Depth["length"] exten
? never
: T extends {
readonly _tag: "CodeModeTool"
readonly execute: (input: unknown) => Effect.Effect<unknown, unknown, infer R>
readonly run: (input: unknown) => Effect.Effect<unknown, unknown, infer R>
}
? R
: T extends object
@@ -69,6 +69,7 @@ export type ToolDescription = {
export type SafeObject = Record<string, unknown>
const defaultCatalogBudget = 2_000
const defaultSearchLimit = 10
const PositiveInt = Schema.Int.check(Schema.isGreaterThan(0))
const NonNegativeInt = Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))
@@ -88,7 +89,7 @@ const SearchOutput = Schema.Struct({
remaining: NonNegativeInt,
next: Schema.NullOr(Schema.Struct({ offset: NonNegativeInt })),
})
export const toolExpression = (path: string) =>
const toolExpression = (path: string) =>
"tools" +
path
.split(".")
@@ -117,6 +118,8 @@ export class ToolRuntimeError extends Error {
}
}
const isDefinition = <R>(value: Definition<R> | Tools<R>): value is Definition<R> => isToolDefinition<R>(value)
const runHost = <A, E, R>(effect: Effect.Effect<A, E, R>): Effect.Effect<A, ToolError, R> =>
effect.pipe(
Effect.catchCause((cause) => {
@@ -283,9 +286,9 @@ export const copyOut = (value: unknown, mode: CopyOutMode): unknown => {
return value
}
// Dots in tool names are namespace separators; the last tool for a canonical path wins.
// Dots in tool names are namespace separators; the last definition for a canonical path wins.
type ToolNode<R> = {
tool?: Tool<R>
definition?: Definition<R>
readonly children: Map<string, ToolNode<R>>
}
@@ -300,7 +303,7 @@ const toolTrie = <R>(tools: Tools<R>): ToolNode<R> => {
current.children.set(segment, child)
current = child
}
if (isTool<R>(value)) current.tool = value
if (isDefinition(value)) current.definition = value
else insert(current, value)
}
}
@@ -311,32 +314,30 @@ const toolTrie = <R>(tools: Tools<R>): ToolNode<R> => {
const canonicalSegments = (path: ReadonlyArray<string>): ReadonlyArray<string> =>
path.flatMap((segment) => segment.split("."))
const flattenTools = <R>(
const definitions = <R>(
node: ToolNode<R>,
path: ReadonlyArray<string> = [],
): Array<{ path: string; tool: Tool<R> }> => [
...(node.tool === undefined ? [] : [{ path: path.join("."), tool: node.tool }]),
...Array.from(node.children, ([name, child]) => flattenTools(child, [...path, name])).flat(),
): Array<{ path: string; definition: Definition<R> }> => [
...(node.definition === undefined ? [] : [{ path: path.join("."), definition: node.definition }]),
...Array.from(node.children, ([name, child]) => definitions(child, [...path, name])).flat(),
]
const describeTool = <R>(path: string, tool: Tool<R>): ToolDescription => ({
const describeDefinition = <R>(path: string, definition: Definition<R>): ToolDescription => ({
path,
description: tool.description,
signature: `${toolExpression(path)}(input: ${inputTypeScript(tool, true)}): Promise<${outputTypeScript(tool, true)}>`,
description: definition.description,
signature: `${toolExpression(path)}(input: ${inputTypeScript(definition, true)}): Promise<${outputTypeScript(definition, true)}>`,
})
// Discovery bytes are durable instructions, so order only after canonical-path collisions settle.
const visibleTools = <R>(tools: Tools<R>) =>
flattenTools(toolTrie(tools))
.sort((left, right) => compareText(left.path, right.path))
.map(({ path, tool }) => ({
path,
tool,
description: describeTool(path, tool),
}))
const visibleDefinitions = <R>(tools: Tools<R>) =>
definitions(toolTrie(tools)).map(({ path, definition }) => ({
path,
definition,
description: describeDefinition(path, definition),
}))
export type DiscoveryPlan = {
readonly catalog: ReadonlyArray<ToolDescription>
readonly instructions: string
readonly searchIndex: ReadonlyArray<SearchEntry>
}
@@ -360,12 +361,12 @@ const termForms = (term: string): Array<string> => {
return forms
}
const makeSearchTool = (searchIndex: ReadonlyArray<SearchEntry>): Tool => ({
const makeSearchTool = (searchIndex: ReadonlyArray<SearchEntry>): Definition => ({
_tag: "CodeModeTool",
description: "Search available tools",
input: SearchInput,
output: SearchOutput,
execute: (input) =>
run: (input) =>
Effect.sync(() => {
const request = input as typeof SearchInput.Type
const query = request.query ?? ""
@@ -404,7 +405,7 @@ const makeSearchTool = (searchIndex: ReadonlyArray<SearchEntry>): Tool => ({
.filter(({ score }) => terms.length === 0 || score > 0)
.sort(
(left, right) =>
right.score - left.score || compareText(left.entry.description.path, right.entry.description.path),
right.score - left.score || left.entry.description.path.localeCompare(right.entry.description.path),
)
.map(({ entry }) => entry)
const items = ranked.slice(offset, offset + (request.limit ?? defaultSearchLimit)).map(({ description }) => ({
@@ -420,19 +421,24 @@ const makeSearchTool = (searchIndex: ReadonlyArray<SearchEntry>): Tool => ({
}),
})
/** Exact callable signature of the built-in `search` function, for host-owned instructions. */
export const searchSignature = (() => {
const tool = makeSearchTool([])
return `search(input: ${inputTypeScript(tool, true)}): ${outputTypeScript(tool, true)}`
const searchSignature = (() => {
const definition = makeSearchTool([])
return `search(input: ${inputTypeScript(definition, true)}): ${outputTypeScript(definition, true)}`
})()
const toSearchEntry = <R>(path: string, tool: Tool<R>, description: ToolDescription): SearchEntry => ({
const catalogLine = (tool: ToolDescription) => {
const line = tool.description.split("\n", 1)[0]!.trim()
const description = line.length > 120 ? line.slice(0, 119) + "..." : line
return description === "" ? ` - ${tool.signature}` : ` - ${tool.signature} // ${description}`
}
const toSearchEntry = <R>(path: string, definition: Definition<R>, description: ToolDescription): SearchEntry => ({
description,
namespace: path.split(".", 1)[0]!,
searchText: [
path,
tool.description,
...inputProperties(tool).flatMap(({ name, description: property }) =>
definition.description,
...inputProperties(definition).flatMap(({ name, description: property }) =>
property === undefined ? [name] : [name, property],
),
]
@@ -441,13 +447,149 @@ const toSearchEntry = <R>(path: string, tool: Tool<R>, description: ToolDescript
})
export const searchIndex = <R>(tools: Tools<R>): ReadonlyArray<SearchEntry> =>
visibleTools(tools).map(({ path, tool, description }) => toSearchEntry(path, tool, description))
visibleDefinitions(tools).map(({ path, definition, description }) => toSearchEntry(path, definition, description))
export const prepare = <R>(tools: Tools<R>): DiscoveryPlan => {
const visible = visibleTools(tools)
// Budget signatures round-robin so every namespace remains visible.
export const prepare = <R>(tools: Tools<R>, catalogBudget = defaultCatalogBudget): DiscoveryPlan => {
if (!Number.isSafeInteger(catalogBudget) || catalogBudget < 0) {
throw new RangeError("discovery.catalogBudget must be a non-negative safe integer")
}
const visible = visibleDefinitions(tools)
const described = visible.map(({ description }) => description)
const namespaces = new Map<string, Array<ToolDescription>>()
for (const tool of described) {
const [namespace = tool.path] = tool.path.split(".")
const group = namespaces.get(namespace) ?? []
group.push(tool)
namespaces.set(namespace, group)
}
const ordered = [...namespaces].sort(([left], [right]) => left.localeCompare(right))
const selections = ordered.map(([namespace, group]) => ({
namespace,
picked: new Set<ToolDescription>(),
queue: [...group].sort(
(left, right) =>
estimateTokens(catalogLine(left)) - estimateTokens(catalogLine(right)) || left.path.localeCompare(right.path),
),
}))
let used = 0
let active = selections.filter((selection) => selection.queue.length > 0)
while (active.length > 0) {
const stillActive: typeof active = []
for (const selection of active) {
const tool = selection.queue[0]!
const cost = estimateTokens(catalogLine(tool))
if (used + cost > catalogBudget) continue
selection.queue.shift()
selection.picked.add(tool)
used += cost
if (selection.queue.length > 0) stillActive.push(selection)
}
active = stillActive
}
const shown = new Map<string, ReadonlySet<ToolDescription>>(
selections.map(({ namespace, picked }) => [namespace, picked]),
)
const totalShown = selections.reduce((total, { picked }) => total + picked.size, 0)
const complete = totalShown === described.length
const empty = described.length === 0
const intro = [
empty
? "This is a restricted JavaScript language for calling tools, not a general-purpose runtime."
: complete
? "This is a restricted JavaScript language for calling tools, not a general-purpose runtime. Inside the confined interpreter, `tools` contains the tools listed below; surrounding agent tools are not available."
: "This is a restricted JavaScript language for calling tools, not a general-purpose runtime. Inside the confined interpreter, `tools` contains the tools listed or searchable below; surrounding agent tools are not available.",
...(empty
? []
: ["Do not infer or normalize tool names; use only exact signatures shown below or returned by search."]),
]
const workflow = empty
? []
: [
"",
"## Workflow",
"",
...(complete
? [
"1. Pick a tool from the list under `## Available tools` - each line is the exact call signature; use it as-is rather than guessing segments.",
"2. Call it using the exact signature shown: `const result = await tools.<namespace>.<tool>(input)`; bracket notation and quotes are part of the path.",
"3. Return only the fields you need from structured results; narrow unknown results before reading fields, and avoid returning large raw payloads.",
]
: [
'1. If needed, discover tools with the built-in search function: `return search({ query: "<intent + key nouns>" })`.',
"2. In the next execution, copy a returned path exactly, call it, and return only the needed fields.",
]),
]
const rules = empty
? []
: [
"",
"## Rules",
"",
complete
? "- Only tools listed here are available; surrounding agent tools are not implicitly exposed."
: "- Only tools listed here or returned by the built-in `search` function are available; surrounding agent tools are not implicitly exposed.",
"- Filter, aggregate, and transform collections in code - never return them raw or call a tool per item across messages.",
"- A result typed `Promise<unknown>` may be structured data or text. Before reading fields, check that it is a non-null object and not an array; otherwise handle the returned text or primitive directly.",
'- Run independent calls in parallel: `await Promise.all(items.map((item) => tools.<namespace>.<tool>(item)))`, or use `tools.<namespace>["tool-name"](item)` when the listed signature uses bracket notation.',
"- Execution ends when the program returns; pending promises are interrupted, so await every call whose completion matters.",
"- `Object.keys(tools)` lists namespaces; `Object.keys(tools.<namespace>)` lists its tools; `for...in` works on both.",
...(complete
? []
: [
'- Browse one namespace: `search({ query: "", namespace: "<name>" })`.',
"- If search returns `next`, repeat the same search with `offset: next.offset`.",
]),
]
const language = [
"",
"## Language",
"",
"Use common JavaScript data operations, functions, control flow, selected standard-library methods, and awaited tool calls. Built-ins include Date, RegExp, Map, Set, URL, URLSearchParams, and URI encoding helpers.",
"Modules/imports, classes, timers, fetch, eval, prototype access, and unlisted methods are unavailable. Use tools for external operations. Use await with try/catch.",
"Prefer explicit `return`; otherwise only the final top-level expression becomes the result.",
"Dates and URLs serialize to strings at data boundaries; Map/Set/RegExp/URLSearchParams serialize to `{}`.",
]
const toolSection: Array<string> = [""]
if (empty) {
toolSection.push("## Available tools", "", "No tools are currently available.")
} else {
toolSection.push(
complete
? "## Available tools (COMPLETE list - every tool is shown below with its full call signature)"
: `## Available tools (PARTIAL - ${totalShown} of ${described.length} shown; find the rest with search(...))`,
"",
)
for (const [namespace, group] of ordered) {
const picked = shown.get(namespace)!
const count = `${group.length} tool${group.length === 1 ? "" : "s"}`
const label =
picked.size === group.length
? count
: picked.size === 0
? `${count}, none shown`
: `${count}, ${picked.size} shown`
toolSection.push(`- ${namespace} (${label})`)
for (const tool of group) if (picked.has(tool)) toolSection.push(catalogLine(tool))
}
if (!complete) {
toolSection.push("", "Search returns complete callable signatures:", `- ${searchSignature}`)
}
}
const lines = [...intro, ...workflow, ...rules, ...language, ...toolSection]
return {
catalog: visible.map(({ description }) => description),
searchIndex: visible.map(({ path, tool, description }) => toSearchEntry(path, tool, description)),
catalog: described,
instructions: lines.join("\n"),
searchIndex: visible.map(({ path, definition, description }) => toSearchEntry(path, definition, description)),
}
}
@@ -463,24 +605,24 @@ const namespaceKeys = <R>(root: ToolNode<R>, path: ReadonlyArray<string>): Reado
return Array.from(node.children.keys())
}
const resolve = <R>(root: ToolNode<R>, path: ReadonlyArray<string>): Tool<R> => {
const resolve = <R>(root: ToolNode<R>, path: ReadonlyArray<string>): Definition<R> => {
const segments = canonicalSegments(path)
const node = lookup(root, segments)
if (node === undefined) {
throw new ToolRuntimeError("UnknownTool", `Unknown tool '${segments.join(".")}'.`, [
"The tool may have been removed or renamed. Use search to find available tools.",
"Use search({ query }) to find available described tools.",
])
}
if (node.tool === undefined) {
if (node.definition === undefined) {
throw new ToolRuntimeError("UnknownTool", `Tool '${segments.join(".")}' is not callable.`)
}
return node.tool
return node.definition
}
export type ToolRuntime<R = never> = {
readonly root: ToolReference
readonly calls: Array<ToolCall>
readonly execute: (path: ReadonlyArray<string>, args: Array<unknown>) => Effect.Effect<unknown, unknown, R>
readonly invoke: (path: ReadonlyArray<string>, args: Array<unknown>) => Effect.Effect<unknown, unknown, R>
readonly search: (args: Array<unknown>) => Effect.Effect<unknown, unknown, R>
readonly keys: (path: ReadonlyArray<string>) => ReadonlyArray<string>
}
@@ -534,23 +676,19 @@ export const make = <R>(
return calls.length - 1
}).pipe(Effect.tap((index) => hooks?.onToolCallStart?.({ index, name, input }) ?? Effect.void))
const executeTool = (name: string, tool: Tool<R>, externalArgs: Array<unknown>) =>
const invokeDefinition = (name: string, tool: Definition<R>, externalArgs: Array<unknown>) =>
Effect.gen(function* () {
if (externalArgs.length !== 1)
throw new ToolRuntimeError("InvalidToolInput", `Tool '${name}' expects exactly one input object.`)
const input = yield* Effect.try({
try: () => decodeToolInput(tool, externalArgs[0]),
catch: (cause) =>
new ToolRuntimeError(
"InvalidToolInput",
`Invalid input for tool '${name}': ${String(cause)}`,
name === "search" ? [] : ["The signature may have changed. Use search to get the current signature."],
),
new ToolRuntimeError("InvalidToolInput", `Invalid input for tool '${name}': ${String(cause)}`),
})
const index = yield* recordAndObserve(name, input)
return yield* observeEnd(
Effect.gen(function* () {
const raw = yield* runHost(Effect.suspend(() => tool.execute(input)))
const raw = yield* runHost(Effect.suspend(() => tool.run(input)))
const result = yield* Effect.try({
try: () => decodeToolOutput(tool, raw),
catch: () => new ToolRuntimeError("InvalidToolOutput", `Invalid output from tool '${name}'.`),
@@ -567,18 +705,18 @@ export const make = <R>(
keys: (path) => namespaceKeys(root, path),
search: (args) =>
Effect.suspend(() =>
executeTool(
invokeDefinition(
"search",
searchTool,
args.map((arg) => copyOut(copyIn(arg, "Arguments for tool 'search'"), "json")),
),
),
execute: (path, args) =>
invoke: (path, args) =>
Effect.gen(function* () {
const name = canonicalSegments(path).join(".")
const externalArgs = args.map((arg) => copyOut(copyIn(arg, `Arguments for tool '${name}'`), "json"))
const tool = resolve(root, path)
return yield* executeTool(name, tool, externalArgs)
return yield* invokeDefinition(name, tool, externalArgs)
}),
}
}
+22 -22
View File
@@ -1,5 +1,5 @@
import { JsonPointer, Schema } from "effect"
import type { Tool, JsonSchema, SchemaType } from "./tool.js"
import type { Definition, JsonSchema, SchemaType } from "./tool.js"
const isEffectSchema = (schema: SchemaType): schema is Schema.Decoder<unknown> & Schema.Top => Schema.isSchema(schema)
@@ -192,16 +192,16 @@ export type InputProperty = {
readonly required: boolean
}
export const inputProperties = <R>(tool: Tool<R>): Array<InputProperty> => {
export const inputProperties = <R>(definition: Definition<R>): Array<InputProperty> => {
try {
const document = isEffectSchema(tool.input)
? (Schema.toJsonSchemaDocument(tool.input) as {
const document = isEffectSchema(definition.input)
? (Schema.toJsonSchemaDocument(definition.input) as {
readonly schema: JsonSchema
readonly definitions?: Readonly<Record<string, JsonSchema>>
})
: {
schema: tool.input,
definitions: { ...(tool.input.definitions ?? {}), ...(tool.input.$defs ?? {}) },
schema: definition.input,
definitions: { ...(definition.input.definitions ?? {}), ...(definition.input.$defs ?? {}) },
}
const definitions = document.definitions ?? {}
let schema = document.schema
@@ -223,22 +223,22 @@ export const inputProperties = <R>(tool: Tool<R>): Array<InputProperty> => {
}
}
export const inputTypeScript = <R>(tool: Tool<R>, pretty = false): string =>
isEffectSchema(tool.input) ? toTypeScript(tool.input, false, pretty) : jsonSchemaToTypeScript(tool.input, pretty)
export const inputTypeScript = <R>(definition: Definition<R>, pretty = false): string =>
isEffectSchema(definition.input)
? toTypeScript(definition.input, false, pretty)
: jsonSchemaToTypeScript(definition.input, pretty)
export const outputTypeScript = <R>(tool: Tool<R>, pretty = false): string =>
tool.output === undefined
? "void"
: isEffectSchema(tool.output)
? toTypeScript(tool.output, true, pretty)
: jsonSchemaToTypeScript(tool.output, pretty)
export const outputTypeScript = <R>(definition: Definition<R>, pretty = false): string =>
definition.output === undefined
? "unknown"
: isEffectSchema(definition.output)
? toTypeScript(definition.output, true, pretty)
: jsonSchemaToTypeScript(definition.output, pretty)
export const decodeInput = <R>(tool: Tool<R>, value: unknown): unknown =>
isEffectSchema(tool.input) ? Schema.decodeUnknownSync(tool.input)(value) : value
export const decodeInput = <R>(definition: Definition<R>, value: unknown): unknown =>
isEffectSchema(definition.input) ? Schema.decodeUnknownSync(definition.input)(value) : value
export const decodeOutput = <R>(tool: Tool<R>, value: unknown): unknown =>
tool.output === undefined
? undefined
: isEffectSchema(tool.output)
? Schema.decodeUnknownSync(tool.output)(value)
: value
export const decodeOutput = <R>(definition: Definition<R>, value: unknown): unknown =>
definition.output !== undefined && isEffectSchema(definition.output)
? Schema.decodeUnknownSync(definition.output)(value)
: value
+12 -12
View File
@@ -29,29 +29,29 @@ export type JsonSchema = {
/** Either a validating Effect Schema or a render-only JSON Schema document. */
export type SchemaType = Schema.Decoder<unknown> | JsonSchema
/** Executable tool exposed through CodeMode's `tools` object. */
export type Tool<R = never> = {
/** Schema-backed tool definition exposed through CodeMode's `tools` object. */
export type Definition<R = never> = {
readonly _tag: "CodeModeTool"
readonly description: string
readonly input: SchemaType
readonly output: SchemaType | undefined
readonly execute: (input: unknown) => Effect.Effect<unknown, unknown, R>
readonly run: (input: unknown) => Effect.Effect<unknown, unknown, R>
}
type InputType<S> = S extends Schema.Decoder<unknown> ? S["Type"] : unknown
type ResultType<S> = S extends undefined ? void : S extends Schema.Decoder<unknown> ? S["Encoded"] : unknown
type ResultType<S> = S extends Schema.Decoder<unknown> ? S["Encoded"] : unknown
/** Options for declaring one CodeMode tool. */
/** Options for defining one CodeMode tool. */
export type Options<I extends SchemaType, O extends SchemaType | undefined, R = never> = {
readonly description: string
readonly input: I
readonly output?: O
readonly execute: (input: InputType<I>) => Effect.Effect<ResultType<O>, unknown, R>
readonly run: (input: InputType<I>) => Effect.Effect<ResultType<O>, unknown, R>
}
// Object.hasOwn: an inherited _tag must not classify a namespace as a Tool.
export const isTool = <R = never>(value: unknown): value is Tool<R> =>
// Object.hasOwn: an inherited _tag must not classify a namespace as a Definition.
export const isDefinition = <R = never>(value: unknown): value is Definition<R> =>
typeof value === "object" &&
value !== null &&
"_tag" in value &&
@@ -59,18 +59,18 @@ export const isTool = <R = never>(value: unknown): value is Tool<R> =>
value._tag === "CodeModeTool"
/**
* Declares one schema-described tool available to a CodeMode program through `tools.*`.
* Defines one schema-described tool available to a CodeMode program through `tools.*`.
*
* Effect Schemas validate values; JSON Schemas only shape the model-visible signature.
* Without `output`, results are exposed as `void`. Hosts remain responsible for authorization
* Without `output`, results are exposed as `unknown`. Hosts remain responsible for authorization
* and durable side effects.
*/
export const make = <I extends SchemaType, const O extends SchemaType | undefined = undefined, R = never>(
options: Options<I, O, R>,
): Tool<R> => ({
): Definition<R> => ({
_tag: "CodeModeTool",
description: options.description,
input: options.input,
output: options.output,
execute: (input) => options.execute(input as InputType<I>),
run: (input) => options.run(input as InputType<I>),
})
+2 -2
View File
@@ -1,5 +1,5 @@
import type { Tool } from "./tool.js"
import type { Definition } from "./tool.js"
export type Tools<R = never> = {
readonly [name: string]: Tool<R> | Tools<R>
readonly [name: string]: Definition<R> | Tools<R>
}
+1 -1
View File
@@ -27,7 +27,7 @@ const echo = Tool.make({
description: "Echo the input",
input: Schema.Struct({ id: Schema.Number }),
output: Schema.Number,
execute: (input: { id: number }) => Effect.succeed(input.id),
run: (input: { id: number }) => Effect.succeed(input.id),
})
const withTool = (code: string) => Effect.runPromise(CodeMode.make({ tools: { host: { echo } } }).execute(code))
const toolError = async (code: string) => {
+200 -57
View File
@@ -2,7 +2,7 @@ import { describe, expect, test } from "bun:test"
import { Cause, Effect, Schema } from "effect"
import { CodeMode, Tool, toolError } from "../src/index.js"
const run = (tool: Tool.Tool<never>) =>
const run = (tool: Tool.Definition<never>) =>
Effect.runPromise(CodeMode.make({ tools: { host: { call: tool } } }).execute("return await tools.host.call({})"))
class UnsafeHostError extends Schema.TaggedErrorClass<UnsafeHostError>()("UnsafeHostError", {
@@ -16,7 +16,7 @@ describe("CodeMode host failure boundary", () => {
description: "Fail safely",
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.fail(toolError("Authorized request was refused")),
run: () => Effect.fail(toolError("Authorized request was refused")),
}),
)
@@ -32,7 +32,7 @@ describe("CodeMode host failure boundary", () => {
description: "Fail safely",
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.fail(toolError("File not found: /tmp/report.json")),
run: () => Effect.fail(toolError("File not found: /tmp/report.json")),
}),
)
@@ -52,7 +52,7 @@ describe("CodeMode host failure boundary", () => {
description: "Fail internally",
input: Schema.Struct({}),
output: Schema.String,
execute: () => failure,
run: () => failure,
}),
)
@@ -71,7 +71,7 @@ describe("CodeMode host failure boundary", () => {
description: "Return invalid output",
input: Schema.Struct({}),
output: Schema.Struct({ safe: Schema.String }),
execute: () => Effect.succeed({ safe: 1, secret } as unknown as { readonly safe: string }),
run: () => Effect.succeed({ safe: 1, secret } as unknown as { readonly safe: string }),
}),
)
@@ -88,7 +88,7 @@ describe("CodeMode host failure boundary", () => {
description: "Return hostile output",
input: Schema.Struct({}),
output: Schema.Unknown,
execute: () =>
run: () =>
Effect.succeed(
new Proxy(
{},
@@ -118,7 +118,7 @@ describe("CodeMode host failure boundary", () => {
description: "Refuse",
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.fail(toolError("Refused")),
run: () => Effect.fail(toolError("Refused")),
}),
},
},
@@ -145,7 +145,7 @@ describe("CodeMode host failure boundary", () => {
description: "Interrupt",
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.interrupt,
run: () => Effect.interrupt,
}),
},
},
@@ -166,7 +166,7 @@ describe("CodeMode tool-call observation", () => {
description: "Look up a value",
input: Schema.Struct({ query: Schema.String }),
output: Schema.String,
execute: ({ query }) => Effect.succeed(query),
run: ({ query }) => Effect.succeed(query),
})
const result = await Effect.runPromise(
@@ -189,7 +189,7 @@ describe("CodeMode tool-call observation", () => {
description: "Look up a value",
input: Schema.Struct({ query: Schema.String }),
output: Schema.String,
execute: ({ query }) => (query === "boom" ? Effect.fail(toolError("Lookup refused")) : Effect.succeed(query)),
run: ({ query }) => (query === "boom" ? Effect.fail(toolError("Lookup refused")) : Effect.succeed(query)),
})
const runtime = CodeMode.make({
@@ -430,7 +430,7 @@ describe("CodeMode schema flexibility", () => {
properties: { id: { type: "string" }, count: { type: "number" } },
required: ["id"],
},
execute: (input) =>
run: (input) =>
Effect.sync(() => {
observed.push(input)
return { echoed: input }
@@ -442,14 +442,14 @@ describe("CodeMode schema flexibility", () => {
{
path: "adapter.call",
description: "Call an adapter-described tool",
signature: "tools.adapter.call(input: {\n id: string,\n count?: number,\n}): Promise<void>",
signature: "tools.adapter.call(input: {\n id: string,\n count?: number,\n}): Promise<unknown>",
},
])
// JSON Schema is render-only: mistyped input passes through unvalidated.
const result = await Effect.runPromise(runtime.execute(`return await tools.adapter.call({ id: 42 })`))
expect(result.ok).toBe(true)
if (result.ok) expect(result.value).toBeNull()
if (result.ok) expect(result.value).toStrictEqual({ echoed: { id: 42 } })
expect(observed).toStrictEqual([{ id: 42 }])
})
@@ -458,7 +458,7 @@ describe("CodeMode schema flexibility", () => {
const call = Tool.make({
description: "Observe raw input",
input: { type: "object" },
execute: (input) =>
run: (input) =>
Effect.sync(() => {
observed.push(input)
return "ok"
@@ -483,7 +483,7 @@ describe("CodeMode schema flexibility", () => {
const find = Tool.make({
description: "Find things",
input: Schema.Struct({ query: Schema.optionalKey(Schema.String), limit: Schema.optionalKey(Schema.Number) }),
execute: (input) =>
run: (input) =>
Effect.sync(() => {
observed.push(input)
return "ok"
@@ -517,7 +517,7 @@ describe("CodeMode schema flexibility", () => {
},
},
},
execute: () => Effect.succeed({ login: "kit", id: 7 }),
run: () => Effect.succeed({ login: "kit", id: 7 }),
})
const runtime = CodeMode.make({ tools: { users: { lookup } } })
@@ -534,18 +534,18 @@ describe("CodeMode schema flexibility", () => {
if (result.ok) expect(result.value).toStrictEqual({ login: "kit", id: 7 })
})
test("Effect Schema output without an input transform renders void when omitted", async () => {
test("Effect Schema output without an input transform still renders unknown when omitted", async () => {
const ping = Tool.make({
description: "Ping",
input: Schema.Struct({ host: Schema.String }),
execute: () => Effect.succeed("pong"),
run: () => Effect.succeed("pong"),
})
const runtime = CodeMode.make({ tools: { net: { ping } } })
expect(runtime.catalog()[0]?.signature).toBe("tools.net.ping(input: {\n host: string,\n}): Promise<void>")
expect(runtime.catalog()[0]?.signature).toBe("tools.net.ping(input: {\n host: string,\n}): Promise<unknown>")
const result = await Effect.runPromise(runtime.execute(`return await tools.net.ping({ host: "example.test" })`))
expect(result.ok).toBe(true)
if (result.ok) expect(result.value).toBeNull()
if (result.ok) expect(result.value).toBe("pong")
})
})
@@ -554,7 +554,7 @@ describe("CodeMode public contract", () => {
description: "Look up an order by ID",
input: Schema.Struct({ id: Schema.String }),
output: Schema.Struct({ id: Schema.String, status: Schema.String }),
execute: ({ id }) => Effect.succeed({ id, status: "open" }),
run: ({ id }) => Effect.succeed({ id, status: "open" }),
})
const tools = { orders: { lookup } }
const source = `return await tools.orders.lookup({ id: "order_42" })`
@@ -577,7 +577,7 @@ describe("CodeMode public contract", () => {
description: "echo",
input: Schema.Struct({}),
output: Schema.Number,
execute: () => Effect.succeed(1),
run: () => Effect.succeed(1),
})
const effect = CodeMode.execute({
tools: { host: { echo } },
@@ -592,7 +592,7 @@ describe("CodeMode public contract", () => {
expect(second).toStrictEqual({ ok: true, value: 1, logs: ["hi"], toolCalls: [{ name: "host.echo" }] })
})
test("describes the catalog and keeps the search built-in registered", async () => {
test("inlines a COMPLETE small catalog and keeps search registered but unadvertised", async () => {
const runtime = CodeMode.make({ tools })
expect(runtime.catalog()).toStrictEqual([
{
@@ -601,7 +601,16 @@ describe("CodeMode public contract", () => {
signature: "tools.orders.lookup(input: {\n id: string,\n}): Promise<{\n id: string,\n status: string,\n}>",
},
])
expect(runtime.instructions()).toContain("Available tools (COMPLETE list")
expect(runtime.instructions()).toContain("- orders (1 tool)")
expect(runtime.instructions()).toContain(
" - tools.orders.lookup(input: {\n id: string,\n}): Promise<{\n id: string,\n status: string,\n}> // Look up an order by ID",
)
// A fully inlined catalog does not advertise search in the instructions...
expect(runtime.instructions()).not.toContain("search(")
// ...but the search built-in stays available, so a speculative call still works with the
// same signature as the inline catalog.
const result = await Effect.runPromise(runtime.execute(`return search({ query: "order" })`))
expect(result.ok).toBe(true)
if (result.ok) {
@@ -620,32 +629,12 @@ describe("CodeMode public contract", () => {
}
})
test("renders equivalent catalogs identically regardless of tool insertion order", () => {
const alpha = Tool.make({
description: "Alpha tool",
input: Schema.Struct({}),
output: Schema.Void,
execute: () => Effect.void,
})
const zeta = Tool.make({
description: "Zeta tool",
input: Schema.Struct({}),
output: Schema.Void,
execute: () => Effect.void,
})
const first = CodeMode.make({ tools: { zeta: { zeta, alpha }, alpha: { zeta, alpha } } })
const second = CodeMode.make({ tools: { alpha: { alpha, zeta }, zeta: { alpha, zeta } } })
expect(first.catalog()).toStrictEqual(second.catalog())
expect(first.catalog().map((tool) => tool.path)).toEqual(["alpha.alpha", "alpha.zeta", "zeta.alpha", "zeta.zeta"])
})
test("renders bracket notation for tool names that are not JavaScript identifiers", async () => {
const resolveLibrary = Tool.make({
description: "Resolve a library ID",
input: Schema.Struct({ libraryName: Schema.String }),
output: Schema.String,
execute: ({ libraryName }) => Effect.succeed(`/resolved/${libraryName}`),
run: ({ libraryName }) => Effect.succeed(`/resolved/${libraryName}`),
})
const runtime = CodeMode.make({ tools: { context7: { "resolve-library-id": resolveLibrary } } })
@@ -656,6 +645,9 @@ describe("CodeMode public contract", () => {
signature: 'tools.context7["resolve-library-id"](input: {\n libraryName: string,\n}): Promise<string>',
},
])
expect(runtime.instructions()).toContain(
'tools.context7["resolve-library-id"](input: {\n libraryName: string,\n}): Promise<string>',
)
const search = await Effect.runPromise(runtime.execute(`return search({ query: "resolve library id" })`))
expect(search.ok).toBe(true)
@@ -686,22 +678,110 @@ describe("CodeMode public contract", () => {
if (exact.ok) expect(exact.value).toMatchObject({ remaining: 0, next: null })
})
test("uses one ranked search returning complete tools for large catalogs", async () => {
test("instructions use markdown sections with placeholder-only call forms", () => {
const runtime = CodeMode.make({ tools })
const instructions = runtime.instructions()
// Sections in order: workflow at the top, catalog at the bottom.
expect(instructions).toContain("## Workflow")
expect(instructions).toContain("## Rules")
expect(instructions).toContain("## Language")
expect(instructions.indexOf("## Workflow")).toBeLessThan(instructions.indexOf("## Rules"))
expect(instructions.indexOf("## Rules")).toBeLessThan(instructions.indexOf("## Language"))
expect(instructions.indexOf("## Language")).toBeLessThan(
instructions.indexOf("\n## Available tools (COMPLETE list"),
)
expect(instructions).not.toContain("JSON.parse(res)")
expect(instructions).toContain("Return only the fields you need")
expect(instructions).toContain("avoid returning large raw payloads")
expect(instructions).toContain("Do not infer or normalize tool names")
expect(instructions).toContain("bracket notation and quotes are part of the path")
expect(instructions).toContain("surrounding agent tools are not available")
expect(instructions).toContain("Only tools listed here are available")
// Placeholders use generic namespace/tool/field names only - no fabricated real tools
// and no real catalog tools cherry-picked into example lines.
expect(instructions).toContain("`const result = await tools.<namespace>.<tool>(input)`")
expect(instructions).toContain("Return only the fields you need from structured results")
expect(instructions).toContain("check that it is a non-null object and not an array")
expect(instructions).not.toContain("result.<field>")
expect(instructions).not.toContain("data.<field>")
expect(instructions).not.toContain("total_count")
expect(instructions).not.toContain("list_issues")
expect(instructions).not.toContain("tools.orders.lookup({")
// COMPLETE: step 1 picks from the inlined list; search is not advertised.
expect(instructions).toContain("1. Pick a tool from the list under `## Available tools`")
expect(instructions).not.toContain("Browse one namespace")
const partial = CodeMode.make({ tools, discovery: { catalogBudget: 0 } }).instructions()
// PARTIAL: the workflow starts with search (with query-style guidance that is clearly
// a query string, never a tool name) and the browse-namespace rule appears.
expect(partial).toContain(
'1. If needed, discover tools with the built-in search function: `return search({ query: "<intent + key nouns>" })`.',
)
expect(partial).toContain("In the next execution, copy a returned path exactly")
expect(partial).toContain("Only tools listed here or returned by the built-in `search` function")
expect(partial).toContain('- Browse one namespace: `search({ query: "", namespace: "<name>" })`.')
expect(partial).toContain("repeat the same search with `offset: next.offset`")
expect(partial).toContain(" limit?: number,\n offset?: number,")
expect(partial).not.toContain("total_count")
expect(partial).not.toContain("tools.orders.lookup({")
})
test("the language section describes the restricted runtime without overclaiming", () => {
const instructions = CodeMode.make({ tools }).instructions()
expect(instructions).toContain("restricted JavaScript language for calling tools")
expect(instructions).toContain("not a general-purpose runtime")
expect(instructions).not.toContain("Standard modern JavaScript works")
expect(instructions).not.toContain("TypeScript type annotations")
for (const missing of ["Modules/imports", "classes", "fetch"]) {
expect(instructions).toContain(missing)
}
expect(instructions).not.toContain("generators")
expect(instructions).not.toContain("new Promise(...) are unavailable")
expect(instructions).not.toContain("promise chaining")
expect(instructions).toContain("URL, URLSearchParams, and URI encoding helpers")
expect(instructions).not.toContain("host globals")
expect(instructions).toContain("Use tools for external operations")
expect(instructions).toContain(
"Prefer explicit `return`; otherwise only the final top-level expression becomes the result.",
)
expect(instructions).toContain(
"Dates and URLs serialize to strings at data boundaries; Map/Set/RegExp/URLSearchParams serialize to `{}`.",
)
})
test("zero tools keep minimal sections and the no-tools notice", () => {
const runtime = CodeMode.make({})
const instructions = runtime.instructions()
expect(instructions).toContain("No tools are currently available.")
expect(instructions).toContain("## Language")
expect(instructions).toContain("## Available tools")
expect(instructions).not.toContain("## Workflow")
expect(instructions).not.toContain("## Rules")
expect(instructions).not.toContain("search(")
})
test("uses one ranked search returning complete definitions for large catalogs", async () => {
const upload = Tool.make({
description: "Upload one readable local file to the current Discord thread",
input: Schema.Struct({ path: Schema.String }),
output: Schema.Struct({ sent: Schema.Boolean }),
execute: () => Effect.succeed({ sent: true }),
run: () => Effect.succeed({ sent: true }),
})
const generate = Tool.make({
description: "Generate an image and upload it to the current Discord thread",
input: Schema.Struct({ prompt: Schema.String }),
output: Schema.Struct({ sent: Schema.Boolean }),
execute: () => Effect.succeed({ sent: true }),
run: () => Effect.succeed({ sent: true }),
})
const runtime = CodeMode.make({
tools: { thread: { uploadFile: upload, generateImage: generate }, orders: { lookup } },
discovery: { catalogBudget: 0 },
})
expect(runtime.instructions()).toContain("Available tools (PARTIAL - 0 of 3 shown; find the rest with search(...))")
expect(runtime.instructions()).toContain("- thread (2 tools, none shown)")
expect(runtime.instructions()).toContain("- orders (1 tool, none shown)")
expect(runtime.instructions()).toContain("Search returns complete callable signatures:\n- search(input: {")
expect(runtime.instructions()).not.toMatch(/tools\.thread\.uploadFile\(input/)
const result = await Effect.runPromise(
runtime.execute(`
@@ -785,7 +865,7 @@ describe("CodeMode public contract", () => {
description: `Numbered tool ${index}`,
input: Schema.Struct({ id: Schema.String }),
output: Schema.String,
execute: () => Effect.succeed("ok"),
run: () => Effect.succeed("ok"),
})
const runtime = CodeMode.make({
tools: {
@@ -831,7 +911,7 @@ describe("CodeMode public contract", () => {
description,
input: Schema.Struct({ id: Schema.String }),
output: Schema.String,
execute: () => Effect.succeed("ok"),
run: () => Effect.succeed("ok"),
})
const runtime = CodeMode.make({
tools: {
@@ -874,13 +954,13 @@ describe("CodeMode public contract", () => {
properties: { attachment: { type: "string", description: "Local path of the payload to send" } },
required: ["attachment"],
},
execute: () => Effect.succeed("ok"),
run: () => Effect.succeed("ok"),
})
const other = Tool.make({
description: "Rename the workspace",
input: Schema.Struct({ name: Schema.String }),
output: Schema.String,
execute: () => Effect.succeed("ok"),
run: () => Effect.succeed("ok"),
})
const runtime = CodeMode.make({ tools: { files: { upload, other } } })
@@ -910,7 +990,7 @@ describe("CodeMode public contract", () => {
description,
input: Schema.Struct({ id: Schema.String }),
output: Schema.String,
execute: () => Effect.succeed("ok"),
run: () => Effect.succeed("ok"),
})
const runtime = CodeMode.make({
tools: {
@@ -949,7 +1029,7 @@ describe("CodeMode public contract", () => {
description,
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.succeed("ok"),
run: () => Effect.succeed("ok"),
})
// Deliberately declared out of alphabetical order.
const runtime = CodeMode.make({
@@ -986,13 +1066,71 @@ describe("CodeMode public contract", () => {
if (exhausted.ok) expect(exhausted.value).toStrictEqual({ items: [], remaining: 0, next: null })
})
test("inlines round-robin across namespaces so one expensive namespace cannot starve the rest", () => {
const cheap = Tool.make({
description: "Cheap",
input: Schema.Struct({ q: Schema.String }),
output: Schema.String,
run: () => Effect.succeed("ok"),
})
const expensive = Tool.make({
description:
"An expensive tool whose description alone consumes far more than the remaining inline catalog byte budget for this runtime",
input: Schema.Struct({
someRatherLongParameterName: Schema.String,
anotherEvenLongerParameterName: Schema.Number,
}),
output: Schema.String,
run: () => Effect.succeed("ok"),
})
// Round 1 places alpha.cheap (~17 estimated tokens) and beta.cheap (~17); in round 2
// alpha.expensive does not fit, which marks only alpha done - it must NOT prevent
// other namespaces from inlining (beta already got its line in the same round).
const runtime = CodeMode.make({
tools: { alpha: { cheap, expensive }, beta: { cheap } },
discovery: { catalogBudget: 40 },
})
const instructions = runtime.instructions()
expect(instructions).toContain("Available tools (PARTIAL - 2 of 3 shown; find the rest with search(...))")
expect(instructions).toContain("- alpha (2 tools, 1 shown)")
expect(instructions).toContain(" - tools.alpha.cheap(input: {\n q: string,\n}): Promise<string> // Cheap")
expect(instructions).not.toContain("tools.alpha.expensive(")
// Fully shown namespaces read cleanly (no "shown" annotation).
expect(instructions).toContain("- beta (1 tool)")
expect(instructions).toContain(" - tools.beta.cheap(input: {\n q: string,\n}): Promise<string> // Cheap")
expect(instructions).toContain("Search returns complete callable signatures:\n- search(input: {")
})
test("charges inline JSDoc against the catalog token budget", () => {
const documented = Tool.make({
description: "Look up a record",
input: {
type: "object",
properties: {
id: { type: "string", description: "A detailed identifier description. ".repeat(20) },
},
required: ["id"],
} as const,
run: () => Effect.succeed("ok"),
})
const runtime = CodeMode.make({
tools: { records: { lookup: documented } },
discovery: { catalogBudget: 40 },
})
expect(runtime.catalog()[0]?.signature).toContain("/** A detailed identifier description.")
expect(runtime.instructions()).toContain("Available tools (PARTIAL - 0 of 1 shown; find the rest with search(...))")
expect(runtime.instructions()).not.toContain("tools.records.lookup(input:")
})
test("decodes tool input and output before exposing either side", async () => {
const observed: Array<unknown> = []
const transformed = Tool.make({
description: "Double a number",
input: Schema.Struct({ value: Schema.NumberFromString }),
output: Schema.NumberFromString,
execute: ({ value }) =>
run: ({ value }) =>
Effect.sync(() => {
observed.push(value)
return String(value * 2)
@@ -1046,7 +1184,7 @@ describe("CodeMode public contract", () => {
expect(result).toStrictEqual({ ok: true, value: null, toolCalls: [] })
})
test("rejects invalid configuration and search limits", async () => {
test("rejects invalid configuration and discovery limits", async () => {
expect(() => CodeMode.execute({ code: "return 1", limits: { timeoutMs: 0 } })).toThrow(RangeError)
expect(() => CodeMode.execute({ code: "return 1", limits: { timeoutMs: Number.POSITIVE_INFINITY } })).toThrow(
RangeError,
@@ -1054,8 +1192,13 @@ describe("CodeMode public contract", () => {
expect(() => CodeMode.execute({ code: "return 1", limits: { maxToolCalls: -1 } })).toThrow(RangeError)
expect(() => CodeMode.execute({ code: "return 1", limits: { maxOutputBytes: -1 } })).toThrow(RangeError)
expect(() => CodeMode.make({ tools, discovery: { catalogBudget: -1 } })).toThrow(RangeError)
const result = await Effect.runPromise(
CodeMode.make({ tools }).execute(`return search({ query: "order", limit: 0.5 })`),
CodeMode.make({
tools,
discovery: { catalogBudget: 0 },
}).execute(`return search({ query: "order", limit: 0.5 })`),
)
expect(result.ok).toBe(false)
if (result.ok) return
@@ -1083,7 +1226,7 @@ describe("CodeMode public contract", () => {
description: "Count invocations",
input: Schema.Struct({}),
output: Schema.Number,
execute: () => Effect.succeed(1),
run: () => Effect.succeed(1),
})
const result = await Effect.runPromise(
CodeMode.execute({
+1 -1
View File
@@ -13,7 +13,7 @@ const echo = (description: string) =>
description,
input: Schema.Struct({ value: Schema.String }),
output: Schema.String,
execute: ({ value }) => Effect.succeed(value),
run: ({ value }) => Effect.succeed(value),
})
const tools = {
+76 -73
View File
@@ -143,7 +143,12 @@ describe("OpenAPI.fromSpec", () => {
const remove = toolAt(api.tools, "users.remove")
expect(api.skipped).toEqual([])
if (!Tool.isTool(get) || !Tool.isTool(create) || !Tool.isTool(search) || !Tool.isTool(remove)) {
if (
!Tool.isDefinition(get) ||
!Tool.isDefinition(create) ||
!Tool.isDefinition(search) ||
!Tool.isDefinition(remove)
) {
throw new Error("happy-path fixture did not generate every operation")
}
expect(inputTypeScript(get)).toBe(
@@ -236,23 +241,23 @@ describe("OpenAPI.fromSpec", () => {
expect(toolAt(result.tools, "v2.session.create")).not.toBeUndefined()
const sessionGet = toolAt(result.tools, "v2.session.get")
expect(Tool.isTool(sessionGet)).toBe(true)
if (!Tool.isTool(sessionGet)) throw new Error("v2.session.get was not generated")
expect(Tool.isDefinition(sessionGet)).toBe(true)
if (!Tool.isDefinition(sessionGet)) throw new Error("v2.session.get was not generated")
expect(inputTypeScript(sessionGet)).toBe("{ sessionID: string }")
expect(outputTypeScript(sessionGet)).toContain("id: string")
expect(outputTypeScript(sessionGet)).toContain("additions: number")
const switchAgent = toolAt(result.tools, "v2.session.switchAgent")
expect(Tool.isTool(switchAgent)).toBe(true)
if (!Tool.isTool(switchAgent)) throw new Error("v2.session.switchAgent was not generated")
expect(Tool.isDefinition(switchAgent)).toBe(true)
if (!Tool.isDefinition(switchAgent)) throw new Error("v2.session.switchAgent was not generated")
expect(inputTypeScript(switchAgent)).toBe("{ sessionID: string; agent: string }")
const instructionPut = toolAt(result.tools, "v2.session.instructions.entry.put")
expect(Tool.isTool(instructionPut)).toBe(true)
if (!Tool.isTool(instructionPut)) throw new Error("v2.session.instructions.entry.put was not generated")
expect(Tool.isDefinition(instructionPut)).toBe(true)
if (!Tool.isDefinition(instructionPut)) throw new Error("v2.session.instructions.entry.put was not generated")
expect(inputTypeScript(instructionPut)).toBe("{ sessionID: string; key: string; value: unknown }")
expect(toolAt(result.tools, "v2_session_instructions_entry_put_2")).toBeUndefined()
expect(Tool.isTool(toolAt(result.tools, "v2.pty.connect"))).toBe(false)
expect(Tool.isDefinition(toolAt(result.tools, "v2.pty.connect"))).toBe(false)
expect(toolAt(result.tools, "v2.session.log")).toBeUndefined()
expect(toolAt(result.tools, "v2.event.subscribe")).toBeUndefined()
expect(toolAt(result.tools, "v2.fs.read")).toBeUndefined()
@@ -273,9 +278,9 @@ describe("OpenAPI.fromSpec", () => {
},
})
expect(Tool.isTool(toolAt(result.tools, "group.item"))).toBe(true)
expect(Tool.isTool(toolAt(result.tools, "group_item_2"))).toBe(true)
expect(Tool.isTool(toolAt(result.tools, "group.operation.other"))).toBe(true)
expect(Tool.isDefinition(toolAt(result.tools, "group.item"))).toBe(true)
expect(Tool.isDefinition(toolAt(result.tools, "group_item_2"))).toBe(true)
expect(Tool.isDefinition(toolAt(result.tools, "group.operation.other"))).toBe(true)
})
test("synthesizes flat operation IDs from methods and paths", () => {
@@ -300,7 +305,7 @@ describe("OpenAPI.fromSpec", () => {
"deleteUsersById",
"getOrganizationsByOrganizationidUsersById",
]) {
expect(Tool.isTool(toolAt(tools, path))).toBe(true)
expect(Tool.isDefinition(toolAt(tools, path))).toBe(true)
}
})
@@ -325,7 +330,7 @@ describe("OpenAPI.fromSpec", () => {
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
expect(inputTypeScript(tool)).toBe("{ limit: number }")
})
@@ -353,8 +358,8 @@ describe("OpenAPI.fromSpec", () => {
})
const search = toolAt(result.tools, "search")
expect(Tool.isTool(search)).toBe(true)
if (!Tool.isTool(search)) throw new Error("search was not generated")
expect(Tool.isDefinition(search)).toBe(true)
if (!Tool.isDefinition(search)) throw new Error("search was not generated")
expect(inputTypeScript(search)).toBe("{ value?: string | null }")
const schema: unknown = search.input
const input = isRecord(schema) ? schema : {}
@@ -392,14 +397,14 @@ describe("OpenAPI.fromSpec", () => {
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.output)) throw new Error("test output was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.output)) throw new Error("test output was not generated")
expect(tool.output.$defs).toMatchObject({ Local: { type: "string" }, Global: { type: "number" } })
})
test("projects read-only and write-only properties by schema direction", () => {
for (const version of ["3.0.3", "3.1.0"]) {
const tool = toolAt(OpenAPI.fromSpec({ baseUrl, spec: directionalSpec(version) }).tools, "users.create")
if (!Tool.isTool(tool) || !isRecord(tool.input) || !isRecord(tool.output)) {
if (!Tool.isDefinition(tool) || !isRecord(tool.input) || !isRecord(tool.output)) {
throw new Error(`users.create was not generated for OpenAPI ${version}`)
}
@@ -462,7 +467,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
expect(inputTypeScript(tool)).toBe("{ name: string }")
})
@@ -513,7 +518,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const properties = isRecord(tool.input.properties) ? tool.input.properties : {}
const record = isRecord(properties.record) ? properties.record : {}
const definitions = isRecord(tool.input.$defs) ? tool.input.$defs : {}
@@ -562,7 +567,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
expect(inputTypeScript(tool)).toBe("{ name: string }")
})
@@ -602,7 +607,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const definitions = isRecord(tool.input.$defs) ? tool.input.$defs : {}
const node = isRecord(definitions.Node) ? definitions.Node : {}
@@ -643,7 +648,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const definitions = isRecord(tool.input.$defs) ? tool.input.$defs : {}
const leaf = isRecord(definitions[`C${depth - 1}`]) ? definitions[`C${depth - 1}`] : {}
@@ -681,7 +686,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
expect(inputTypeScript(tool)).toBe("{ name: string }")
}
@@ -720,7 +725,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const properties = isRecord(tool.input.properties) ? tool.input.properties : {}
const record: Record<string, unknown> = isRecord(properties.record) ? properties.record : {}
@@ -758,7 +763,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const properties = isRecord(tool.input.properties) ? tool.input.properties : {}
const choice: Record<string, unknown> = isRecord(properties.choice) ? properties.choice : {}
const pick: Record<string, unknown> = isRecord(properties.pick) ? properties.pick : {}
@@ -802,7 +807,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const properties = isRecord(tool.input.properties) ? tool.input.properties : {}
const record = isRecord(properties.record) ? properties.record : {}
@@ -831,7 +836,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
expect(inputTypeScript(tool)).toBe("{ filter: { state: string } }")
})
@@ -861,7 +866,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
expect(inputTypeScript(tool)).toBe("{ filter: { value: string } }")
})
@@ -896,7 +901,7 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool) || !isRecord(tool.input)) throw new Error("test was not generated")
const properties = isRecord(tool.input.properties) ? tool.input.properties : {}
const body = isRecord(properties.body) ? properties.body : {}
const allOf = Array.isArray(body.allOf) ? body.allOf : []
@@ -918,11 +923,11 @@ describe("OpenAPI.fromSpec", () => {
}),
)
const tool = toolAt(OpenAPI.fromSpec({ baseUrl, spec: directionalSpec("3.1.0") }).tools, "users.create")
if (!Tool.isTool(tool)) throw new Error("users.create was not generated")
if (!Tool.isDefinition(tool)) throw new Error("users.create was not generated")
const result = await Effect.runPromise(
tool
.execute({
.run({
id: "ignored-top-level",
generated: "ignored-generated",
name: "Ada",
@@ -1017,12 +1022,10 @@ describe("OpenAPI.fromSpec", () => {
test("serializes deep-object query parameters from the opencode fixture", async () => {
const client = recordingClient(() => json({ directory: "/tmp" }))
const location = toolAt(OpenAPI.fromSpec({ spec: await opencodeSpec(), baseUrl }).tools, "v2.location.get")
if (!Tool.isTool(location)) throw new Error("v2.location.get was not generated")
if (!Tool.isDefinition(location)) throw new Error("v2.location.get was not generated")
await Effect.runPromise(
location
.execute({ location: { directory: "/tmp", workspace: "workspace-1" } })
.pipe(Effect.provide(client.layer)),
location.run({ location: { directory: "/tmp", workspace: "workspace-1" } }).pipe(Effect.provide(client.layer)),
)
const url = new URL(client.requests[0]!.url)
@@ -1055,11 +1058,11 @@ describe("OpenAPI.fromSpec", () => {
},
})
const tool = toolAt(result.tools, "items")
if (!Tool.isTool(tool)) throw new Error("items was not generated")
if (!Tool.isDefinition(tool)) throw new Error("items was not generated")
await Effect.runPromise(
tool
.execute({
.run({
keys: ["a!", "b*"],
tags: ["x", "y"],
filter: { state: "open", page: 2 },
@@ -1078,9 +1081,9 @@ describe("OpenAPI.fromSpec", () => {
expect(url.searchParams.get("nullable")).toBe("null")
expect(url.searchParams.get("constructor")).toBe("safe")
expect(client.requests[0]!.headers.meta).toBe("a=b,c=d")
await expect(
Effect.runPromise(tool.execute({ keys: [undefined] }).pipe(Effect.provide(client.layer))),
).rejects.toThrow("unsupported nested value")
await expect(Effect.runPromise(tool.run({ keys: [undefined] }).pipe(Effect.provide(client.layer)))).rejects.toThrow(
"unsupported nested value",
)
})
test("preserves ordered exploded and deep-object query parameters", async () => {
@@ -1098,11 +1101,11 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
await Effect.runPromise(
tool
.execute({
.run({
tags: ["first value", "second&value"],
filter: { state: "open now", page: 2 },
location: { directory: "/tmp/a b", workspace: "work&1" },
@@ -1113,14 +1116,14 @@ describe("OpenAPI.fromSpec", () => {
expect(client.requests[0]?.url).toBe(
`${baseUrl}/test?tags=first+value&tags=second%26value&state=open+now&page=2&location%5Bdirectory%5D=%2Ftmp%2Fa+b&location%5Bworkspace%5D=work%261`,
)
await expect(Effect.runPromise(tool.execute({ tags: [{}] }).pipe(Effect.provide(client.layer)))).rejects.toThrow(
await expect(Effect.runPromise(tool.run({ tags: [{}] }).pipe(Effect.provide(client.layer)))).rejects.toThrow(
"Parameter 'tags' contains an unsupported nested value.",
)
await expect(
Effect.runPromise(tool.execute({ filter: { state: {} } }).pipe(Effect.provide(client.layer))),
Effect.runPromise(tool.run({ filter: { state: {} } }).pipe(Effect.provide(client.layer))),
).rejects.toThrow("Query parameter 'filter' contains an unsupported nested value.")
await expect(
Effect.runPromise(tool.execute({ location: { directory: [] } }).pipe(Effect.provide(client.layer))),
Effect.runPromise(tool.run({ location: { directory: [] } }).pipe(Effect.provide(client.layer))),
).rejects.toThrow("Deep-object parameter 'location' contains an unsupported nested value.")
expect(client.requests).toHaveLength(1)
})
@@ -1200,9 +1203,9 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"getTest",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
await Effect.runPromise(tool.execute({}).pipe(Effect.provide(client.layer)))
await Effect.runPromise(tool.run({}).pipe(Effect.provide(client.layer)))
expect(inputTypeScript(tool)).toBe("{}")
expect(client.requests[0]!.headers.authorization).toBe("Bearer secret")
@@ -1237,9 +1240,9 @@ describe("OpenAPI.fromSpec", () => {
authenticated([{ key: [] }], { key: { type: "apiKey", in: "query", name: "__proto__" } }).tools,
"test",
)
if (!Tool.isTool(prototype)) throw new Error("prototype auth tool was not generated")
if (!Tool.isDefinition(prototype)) throw new Error("prototype auth tool was not generated")
await Effect.runPromise(prototype.execute({}).pipe(Effect.provide(client.layer)))
await Effect.runPromise(prototype.run({}).pipe(Effect.provide(client.layer)))
expect(new URL(client.requests[0]!.url).searchParams.get("__proto__")).toBe("secret")
const duplicate = toolAt(
@@ -1249,8 +1252,8 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(duplicate)) throw new Error("duplicate auth tool was not generated")
await expect(Effect.runPromise(duplicate.execute({}).pipe(Effect.provide(client.layer)))).rejects.toThrow(
if (!Tool.isDefinition(duplicate)) throw new Error("duplicate auth tool was not generated")
await expect(Effect.runPromise(duplicate.run({}).pipe(Effect.provide(client.layer)))).rejects.toThrow(
"multiple credentials",
)
@@ -1275,8 +1278,8 @@ describe("OpenAPI.fromSpec", () => {
},
})
const alternativeTool = toolAt(alternative.tools, "test")
if (!Tool.isTool(alternativeTool)) throw new Error("supported auth alternative was not generated")
await Effect.runPromise(alternativeTool.execute({}).pipe(Effect.provide(client.layer)))
if (!Tool.isDefinition(alternativeTool)) throw new Error("supported auth alternative was not generated")
await Effect.runPromise(alternativeTool.run({}).pipe(Effect.provide(client.layer)))
expect(client.requests.at(-1)?.headers.authorization).toBe("Bearer secret")
})
@@ -1287,9 +1290,9 @@ describe("OpenAPI.fromSpec", () => {
servers: [{ url: "https://document.example" }],
} satisfies Document
const tool = toolAt(OpenAPI.fromSpec({ spec }).tools, "test")
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
await Effect.runPromise(tool.execute({}).pipe(Effect.provide(client.layer)))
await Effect.runPromise(tool.run({}).pipe(Effect.provide(client.layer)))
expect(client.requests[0]?.url).toBe("https://operation.example/v1/test")
const invalid = OpenAPI.fromSpec({ spec, baseUrl: "https://example.com/api?tenant=one" })
@@ -1360,10 +1363,10 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
await expect(
Effect.runPromise(tool.execute({ filter: { value: undefined } }).pipe(Effect.provide(client.layer))),
Effect.runPromise(tool.run({ filter: { value: undefined } }).pipe(Effect.provide(client.layer))),
).rejects.toThrow("unsupported nested value")
expect(resolutions).toEqual([])
expect(client.requests).toEqual([])
@@ -1386,33 +1389,33 @@ describe("OpenAPI.fromSpec", () => {
}).tools,
"test",
)
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
await Effect.runPromise(tool.execute({ body: { name: "updated" } }).pipe(Effect.provide(client.layer)))
await Effect.runPromise(tool.run({ body: { name: "updated" } }).pipe(Effect.provide(client.layer)))
expect(client.requests[0]!.headers["content-type"]).toBe("application/merge-patch+json")
const cyclic: Record<string, unknown> = {}
cyclic.self = cyclic
await expect(Effect.runPromise(tool.execute({ body: cyclic }).pipe(Effect.provide(client.layer)))).rejects.toThrow(
await expect(Effect.runPromise(tool.run({ body: cyclic }).pipe(Effect.provide(client.layer)))).rejects.toThrow(
"Invalid JSON body",
)
})
test("rejects oversized and malformed JSON responses", async () => {
const tool = toolAt(OpenAPI.fromSpec({ baseUrl, spec: singleOperation({}) }).tools, "test")
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
const oversized = recordingClient(
() => new Response(null, { headers: { "content-length": String(50 * 1024 * 1024 + 1) } }),
)
const malformed = recordingClient(() => new Response("{", { headers: { "content-type": "application/json" } }))
const chunked = recordingClient(() => new Response(new Uint8Array(50 * 1024 * 1024 + 1)))
await expect(Effect.runPromise(tool.execute({}).pipe(Effect.provide(oversized.layer)))).rejects.toThrow(
await expect(Effect.runPromise(tool.run({}).pipe(Effect.provide(oversized.layer)))).rejects.toThrow(
"response exceeds 50 MiB",
)
await expect(Effect.runPromise(tool.execute({}).pipe(Effect.provide(malformed.layer)))).rejects.toThrow(
await expect(Effect.runPromise(tool.run({}).pipe(Effect.provide(malformed.layer)))).rejects.toThrow(
"returned malformed JSON",
)
await expect(Effect.runPromise(tool.execute({}).pipe(Effect.provide(chunked.layer)))).rejects.toThrow(
await expect(Effect.runPromise(tool.run({}).pipe(Effect.provide(chunked.layer)))).rejects.toThrow(
"response exceeds 50 MiB",
)
})
@@ -1425,11 +1428,11 @@ describe("OpenAPI.fromSpec", () => {
},
})
const tool = toolAt(OpenAPI.fromSpec({ baseUrl, spec }).tools, "test")
if (!Tool.isTool(tool)) throw new Error("test was not generated")
if (!Tool.isDefinition(tool)) throw new Error("test was not generated")
const client = recordingClient(() => new Response("123", { headers: { "content-type": "text/plain" } }))
expect(outputTypeScript(tool)).toBe("string | null")
await expect(Effect.runPromise(tool.execute({}).pipe(Effect.provide(client.layer)))).resolves.toBe("123")
await expect(Effect.runPromise(tool.run({}).pipe(Effect.provide(client.layer)))).resolves.toBe("123")
})
test("fails missing required parameters before auth and network", async () => {
@@ -1494,13 +1497,13 @@ describe("OpenAPI.fromSpec", () => {
const update = toolAt(tools, "things.update")
const echo = toolAt(tools, "echo")
expect(Tool.isTool(update)).toBe(true)
if (!Tool.isTool(update)) throw new Error("things.update was not generated")
expect(Tool.isDefinition(update)).toBe(true)
if (!Tool.isDefinition(update)) throw new Error("things.update was not generated")
expect(inputTypeScript(update)).toBe(
"{ path_id: string; query_id: string; path_id_2?: string; header_id: string; body_id: string }",
)
expect(Tool.isTool(echo)).toBe(true)
if (!Tool.isTool(echo)) throw new Error("echo was not generated")
expect(Tool.isDefinition(echo)).toBe(true)
if (!Tool.isDefinition(echo)) throw new Error("echo was not generated")
expect(inputTypeScript(echo)).toBe("{ body: string }")
const runtime = CodeMode.make({ tools })
@@ -1581,13 +1584,13 @@ describe("OpenAPI.fromSpec", () => {
for (const name of ["optional", "dictionary", "composed", "nullable"]) {
const tool = toolAt(tools, `body.${name}`)
expect(Tool.isTool(tool)).toBe(true)
if (!Tool.isTool(tool)) throw new Error(`body.${name} was not generated`)
expect(Tool.isDefinition(tool)).toBe(true)
if (!Tool.isDefinition(tool)) throw new Error(`body.${name} was not generated`)
const input = isRecord(tool.input) ? tool.input : {}
expect(Object.keys(isRecord(input.properties) ? input.properties : {})).toStrictEqual(["body"])
}
const optional = toolAt(tools, "body.optional")
if (!Tool.isTool(optional)) throw new Error("body.optional was not generated")
if (!Tool.isDefinition(optional)) throw new Error("body.optional was not generated")
expect(inputTypeScript(optional)).toBe("{ body?: { name: string } }")
})
})
+8 -8
View File
@@ -33,7 +33,7 @@ const echoTool = (trace: Trace) =>
description: "Echo an id immediately",
input: Schema.Struct({ id: Schema.Number }),
output: Schema.Number,
execute: ({ id }) =>
run: ({ id }) =>
Effect.sync(() => {
trace.starts.push(id)
trace.completed += 1
@@ -46,7 +46,7 @@ const gatedTool = (trace: Trace, gate: (id: number) => Deferred.Deferred<void>)
description: "Echo an id once its gate opens",
input: Schema.Struct({ id: Schema.Number }),
output: Schema.Number,
execute: ({ id }) =>
run: ({ id }) =>
Effect.gen(function* () {
trace.starts.push(id)
trace.active += 1
@@ -70,7 +70,7 @@ const openTool = (gate: (id: number) => Deferred.Deferred<void>) =>
description: "Open the gate for an id",
input: Schema.Struct({ id: Schema.Number }),
output: Schema.Boolean,
execute: ({ id }) => Deferred.succeed(gate(id), undefined),
run: ({ id }) => Deferred.succeed(gate(id), undefined),
})
const pendingTool = (trace: Trace) =>
@@ -78,7 +78,7 @@ const pendingTool = (trace: Trace) =>
description: "Never settle",
input: Schema.Struct({ id: Schema.Number }),
output: Schema.Number,
execute: ({ id }) =>
run: ({ id }) =>
Effect.gen(function* () {
trace.starts.push(id)
trace.active += 1
@@ -98,14 +98,14 @@ const failingTool = Tool.make({
description: "Always refuse",
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.fail(toolError("Lookup refused")),
run: () => Effect.fail(toolError("Lookup refused")),
})
const interruptedTool = Tool.make({
description: "Interrupt this call",
input: Schema.Struct({}),
output: Schema.String,
execute: () => Effect.interrupt,
run: () => Effect.interrupt,
})
const completedTool = (trace: Trace) =>
@@ -113,7 +113,7 @@ const completedTool = (trace: Trace) =>
description: "Return the number of completed calls",
input: Schema.Struct({}),
output: Schema.Number,
execute: () => Effect.succeed(trace.completed),
run: () => Effect.succeed(trace.completed),
})
/** Never settles, and holds interruption cleanup for `cleanupMs` so completion cleanup can outlast a timeout. */
@@ -122,7 +122,7 @@ const stubbornTool = (trace: Trace) =>
description: "Never settle; clean up slowly when interrupted",
input: Schema.Struct({ cleanupMs: Schema.Number }),
output: Schema.Number,
execute: ({ cleanupMs }) =>
run: ({ cleanupMs }) =>
Effect.never.pipe(
Effect.onInterrupt(() =>
Effect.andThen(
+19 -15
View File
@@ -18,8 +18,7 @@ const listIssues = Tool.make({
},
required: ["owner"],
},
output: {},
execute: () => Effect.succeed("[]"),
run: () => Effect.succeed("[]"),
})
// An Effect Schema tool whose field annotations must flow through the emitted JSON Schema.
@@ -32,7 +31,7 @@ const lookupOrder = Tool.make({
output: Schema.Struct({
status: Schema.String.annotate({ description: "Current order status" }),
}),
execute: () => Effect.succeed({ status: "open" }),
run: () => Effect.succeed({ status: "open" }),
})
describe("pretty signature rendering", () => {
@@ -262,7 +261,7 @@ describe("non-identifier property names render as quoted keys", () => {
properties: { "content-type": { type: "string" } },
required: ["content-type"],
} as const,
execute: () => Effect.succeed({ "content-type": "text/plain" }),
run: () => Effect.succeed({ "content-type": "text/plain" }),
})
expect(inputTypeScript(tool)).toContain('"foo-bar"?: string')
expect(outputTypeScript(tool)).toBe('{ "content-type": string }')
@@ -273,7 +272,7 @@ describe("non-identifier property names render as quoted keys", () => {
const tool = Tool.make({
description: "Schema tool with awkward field names",
input: Schema.Struct({ "foo-bar": Schema.String, plain: Schema.optionalKey(Schema.Number) }),
execute: () => Effect.succeed(null),
run: () => Effect.succeed(null),
})
expect(inputTypeScript(tool)).toBe('{ "foo-bar": string; plain?: number }')
expect(inputTypeScript(tool, true)).toBe(["{", ' "foo-bar": string,', " plain?: number,", "}"].join("\n"))
@@ -307,7 +306,7 @@ describe("union schemas render every alternative", () => {
},
} as const,
output: { anyOf: [{ type: "number" }, { type: "boolean" }] } as const,
execute: () => Effect.succeed(1),
run: () => Effect.succeed(1),
})
expect(inputTypeScript(tool)).toBe("{ value?: string | number }")
expect(outputTypeScript(tool)).toBe("number | boolean")
@@ -395,15 +394,15 @@ describe("JSDoc signatures in catalogs and search results", () => {
}
})
test("the catalog uses the same JSDoc signatures as search", async () => {
const catalog = runtime.catalog()
test("the inline catalog uses the same JSDoc signatures", async () => {
const instructions = runtime.instructions()
const github = (await search("list issues repository")).items.find(
({ path }) => path === "tools.github.list_issues",
)!
const orders = (await search("look up order")).items.find(({ path }) => path === "tools.orders.lookup")!
expect(catalog.map(({ signature }) => signature)).toContain(github.signature)
expect(catalog.map(({ signature }) => signature)).toContain(orders.signature)
expect(github.signature).toContain("/** Repository owner */")
expect(instructions).toContain(` - ${github.signature} // List issues in a repository`)
expect(instructions).toContain(` - ${orders.signature} // Look up an order`)
expect(instructions).toContain("/** Repository owner */")
})
})
@@ -418,15 +417,20 @@ describe("non-identifier tool paths", () => {
},
required: ["query", "libraryName"],
} as const,
output: {},
execute: () => Effect.succeed("/reactjs/react.dev"),
run: () => Effect.succeed("/reactjs/react.dev"),
})
const runtime = CodeMode.make({ tools: { context7: { "resolve-library-id": resolveLibrary } } })
test("catalog signatures use bracket notation for dashed tool names", () => {
expect(runtime.catalog()[0]?.signature).toBe(
test("inline catalog uses bracket notation for dashed tool names", () => {
const instructions = runtime.instructions()
expect(instructions).toContain(
'tools.context7["resolve-library-id"](input: {\n query: string,\n libraryName: string,\n}): Promise<unknown>',
)
expect(instructions).toContain("Do not infer or normalize tool names")
expect(instructions).toContain("bracket notation and quotes are part of the path")
expect(instructions).not.toContain("tools.context7.resolve-library-id")
expect(instructions).not.toContain("tools.context7.resolve_library_id")
})
test("search results return callable bracket-notation paths and signatures", async () => {

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