Files
openclaw/packages/ai/src/stream.ts
Peter Steinberger 062f88e3e3 refactor: extract reusable AI runtime package (#99059)
* refactor: extract reusable AI runtime package

* refactor: complete AI provider relocation

* refactor: keep llm core internal

* refactor(ai): make @openclaw/ai self-contained with host policy ports

Move pure transport helpers (tool projections, strict-schema normalization,
prompt-cache boundary, stream guards, anthropic/openai compat, request
activity) from src into packages/ai; move utf16-slice into
normalization-core. Inject host policy (guarded fetch, redaction,
strict-tool defaults, diagnostics logging) through AiTransportHost with
inert library defaults installed by src/llm/stream.ts. Narrow the public
barrel to instance-scoped createApiRegistry/createLlmRuntime; the
process-default runtime moves behind internal/ and
registerBuiltInApiProviders takes an explicit registry. Delete the
src/llm/api-registry re-export facade.

* fix(ai): teach node, jiti, and vite resolvers the @openclaw/ai and utf16-slice subpaths

The workspace alias tables in root-alias.cjs, plugin-sdk-native-resolver,
sdk-alias, the shared vitest config, and the Control UI vite config only
knew @openclaw/llm-core; Node-side plugin loading resolved @openclaw/ai
through the pnpm symlink to the unbuilt dist (checks-node-compact CI
failures), and the Control UI build broke on the new
normalization-core/utf16-slice subpath.

* chore(ui): drop leftover service-worker debug logging

* build(release): ship @openclaw/ai with its own shrinkwrap and honest dependency set

packages/ai declares only its six real runtime deps (kysely, chalk, json5,
tslog, zod, fs-safe, and proxyline were never imported); orphaned root deps
removed. generate-npm-shrinkwrap now treats publishable packages/* like
publishable plugins so the AI tarball pins its transitive tree even though
workspace deps are omitted from the root shrinkwrap. knip learns the
package entry points; the tsdown dts neverBundle option moves to its
documented deps.dts home; the README documents the no-semver internal/*
contract and host ports.

* docs(ai): add minimal external-consumer example app

examples/ai-chat consumes only the public @openclaw/ai surface (built dist
via the workspace link): isolated runtime, built-in provider registration,
one streamed completion. Supports Anthropic/OpenAI via env keys and a
keyless local Ollama target; live-verified against Ollama.

* docs(ai): document the @openclaw/ai package and workspace shrinkwrap boundary

* chore(check): include examples/ in duplicate-scan targets

* fix: emit normalization package subpaths

* fix: complete AI package boundary artifacts

* fix: align AI package boundary contracts

* fix(ci): stabilize package release contracts

* test: align documentation contract checks

* test: keep cron docs guard aligned

* test: align restored docs contract guards

* test: follow upstream docs contracts

* docs: drop superseded talk wording
2026-07-05 01:56:40 -04:00

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1.7 KiB
TypeScript

// LLM Runtime module implements stream behavior.
import type {
Api,
AssistantMessage,
AssistantMessageEventStreamContract,
Context,
Model,
ProviderStreamOptions,
SimpleStreamOptions,
StreamOptions,
} from "@openclaw/llm-core";
import { createApiRegistry, type ApiRegistry } from "./api-registry.js";
/** Creates an isolated LLM runtime backed by the supplied provider registry. */
export function createLlmRuntime(registry: ApiRegistry = createApiRegistry()) {
function resolveApiProvider(api: Api) {
const provider = registry.getApiProvider(api);
if (!provider) {
throw new Error(`No API provider registered for api: ${api}`);
}
return provider;
}
function stream<TApi extends Api>(
model: Model<TApi>,
context: Context,
options?: ProviderStreamOptions,
): AssistantMessageEventStreamContract {
return resolveApiProvider(model.api).stream(model, context, options as StreamOptions);
}
async function complete<TApi extends Api>(
model: Model<TApi>,
context: Context,
options?: ProviderStreamOptions,
): Promise<AssistantMessage> {
return stream(model, context, options).result();
}
function streamSimple<TApi extends Api>(
model: Model<TApi>,
context: Context,
options?: SimpleStreamOptions,
): AssistantMessageEventStreamContract {
return resolveApiProvider(model.api).streamSimple(model, context, options);
}
async function completeSimple<TApi extends Api>(
model: Model<TApi>,
context: Context,
options?: SimpleStreamOptions,
): Promise<AssistantMessage> {
return streamSimple(model, context, options).result();
}
return { registry, stream, complete, streamSimple, completeSimple };
}
export type LlmRuntime = ReturnType<typeof createLlmRuntime>;