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Missing prerequisites for two test lanes, a copy-paste slip in an SDK sample, three undeclared identifiers in a quick start, a colon promising keys named two paragraphs later, duplicated Related lists, two unlinked pages that exist, an unbracketed placeholder, and a bare doctor invocation. The thirteenth fix, an ffmpeg prerequisite on docs/tools/tts/quickstart.md, is held back: every PR touching that page is refused by the secret scanner before review.
79 lines
4.1 KiB
Markdown
79 lines
4.1 KiB
Markdown
---
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summary: "The @openclaw/ai npm package: reusable model transports, isolated runtimes, and host policy ports"
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title: "@openclaw/ai package"
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read_when:
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- You want to reuse OpenClaw's model transports in another application
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- You are changing packages/ai or the AI transport host ports
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- You are reviewing what the openclaw release publishes to npm besides the root package
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---
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`@openclaw/ai` is the publishable library form of OpenClaw's model execution
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layer: provider-neutral message/tool/stream contracts, validation, diagnostics,
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event streams, an isolated runtime registry, and lazy adapters for the eight
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built-in API families (Anthropic Messages, OpenAI Completions, OpenAI
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Responses, Azure OpenAI Responses, ChatGPT/Codex Responses, Google Generative
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AI, Google Vertex, Mistral Conversations).
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It publishes alongside the root `openclaw` package on every release, pinned to
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the same version. Its exact-pinned direct dependencies resolve at install time;
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the package ships no npm lockfile. Installing `openclaw` installs the matching
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`@openclaw/ai` automatically, and library consumers can depend on it directly
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without any OpenClaw application code.
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## Quick start
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```js
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import { createLlmRuntime } from "@openclaw/ai";
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import { registerBuiltInApiProviders } from "@openclaw/ai/providers";
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const runtime = createLlmRuntime();
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registerBuiltInApiProviders(runtime.registry);
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// `model` (a model descriptor), `messages`, and `apiKey` are supplied by you;
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// see `examples/ai-chat` for concrete values.
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const stream = runtime.streamSimple(model, { messages }, { apiKey });
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for await (const event of stream) {
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if (event.type === "text_delta") process.stdout.write(event.delta);
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}
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const result = await stream.result();
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```
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A runnable version lives in the repository at `examples/ai-chat`.
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## Design contract
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- **Instance-scoped by default.** Importing the package registers nothing
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globally. `createApiRegistry()` / `createLlmRuntime()` return isolated
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instances; `registerBuiltInApiProviders(registry)` opts one registry into the
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built-in transports. Provider SDK modules load lazily on first use.
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- **Host policy is injected, not bundled.** Request fetch guarding (for
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example SSRF policy), secret redaction of tool-result replay text, OpenAI
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strict-tool defaults, and diagnostics logging are `AiTransportHost` ports
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configured with `configureAiTransportHost`. The library defaults are inert;
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OpenClaw installs its real implementations in its stream facade.
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- **One event-stream identity.** `@openclaw/ai/event-stream` is the canonical
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`EventStream` constructor shared by OpenClaw core, agent-core, and external
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consumers.
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- **`internal/*` subpaths are not API.** They exist for the OpenClaw
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application itself and carry no semver guarantee.
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- Provider ids, credentials, model catalogs, retries, and failover remain
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application concerns. OpenClaw layers those around this package; a library
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consumer supplies a `Model` object and options directly.
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## Subpath exports
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| Subpath | Contents |
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| ---------------- | ------------------------------------------------------------------------------ |
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| `.` | Contracts, `createApiRegistry`, `createLlmRuntime`, `configureAiTransportHost` |
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| `./providers` | `registerBuiltInApiProviders`, `resetApiProviders` |
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| `./types` | Model/message/tool/stream types |
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| `./validation` | Tool argument validation |
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| `./diagnostics` | Diagnostics contracts, transport logging, and sanitized URL formatting |
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| `./event-stream` | Shared `EventStream` implementation |
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| `./internal/*` | OpenClaw-internal, no semver guarantee |
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Use `@openclaw/ai/diagnostics` for `emitModelTransportDebug`,
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`formatModelTransportDebugUrl`, and `formatModelTransportDebugBaseUrl` when
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you only need logging helpers. This entrypoint keeps provider transport
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implementations out of the import graph.
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