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* 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
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@openclaw/ai
Reusable model API contracts, provider adapters, and streaming primitives from OpenClaw. The package supports isolated runtime instances; importing it does not register providers globally.
import { createLlmRuntime } from "@openclaw/ai";
import { registerBuiltInApiProviders } from "@openclaw/ai/providers";
const runtime = createLlmRuntime();
registerBuiltInApiProviders(runtime.registry);
Provider-neutral contracts, validation, diagnostics, and event streams are
available from the package root and focused subpaths such as
@openclaw/ai/event-stream and @openclaw/ai/validation. No second OpenClaw
runtime package is required.
Provider ids, credentials, model catalogs, retries, and failover remain
application concerns. OpenClaw supplies those policies around this package.
Host policy (request fetch guarding, secret redaction, strict-tool defaults,
diagnostics logging) can be injected with configureAiTransportHost; the
defaults are inert.
@openclaw/ai/internal/* subpaths exist for the OpenClaw application itself.
They carry no semver guarantee and can change or disappear in any release; do
not depend on them outside OpenClaw.