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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
111 lines
3.9 KiB
TypeScript
111 lines
3.9 KiB
TypeScript
// Covers API-key discovery from environment and key files.
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import { mkdtemp, rm, writeFile } from "node:fs/promises";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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import { afterEach, describe, expect, it, vi } from "vitest";
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import { captureEnv, withEnvAsync } from "../test-utils/env.js";
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const envKeys = [
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"GOOGLE_APPLICATION_CREDENTIALS",
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"GOOGLE_CLOUD_LOCATION",
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"GOOGLE_CLOUD_PROJECT",
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"KIMI_API_KEY",
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"KIMICODE_API_KEY",
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"MOONSHOT_API_KEY",
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] as const;
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const originalEnv = captureEnv([...envKeys]);
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const tempDirs: string[] = [];
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afterEach(async () => {
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vi.unstubAllGlobals();
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originalEnv.restore();
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await Promise.all(tempDirs.splice(0).map((dir) => rm(dir, { recursive: true, force: true })));
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vi.resetModules();
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});
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describe("getEnvApiKey", () => {
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it("returns no env auth in browser contexts without process", async () => {
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vi.resetModules();
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const { findEnvKeys, getEnvApiKey } = await import("@openclaw/ai/internal/runtime");
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vi.stubGlobal("process", undefined);
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expect(findEnvKeys("openai")).toBeUndefined();
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expect(getEnvApiKey("openai")).toBeUndefined();
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expect(getEnvApiKey("google-vertex")).toBeUndefined();
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expect(getEnvApiKey("amazon-bedrock")).toBeUndefined();
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});
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it("detects Google Vertex ADC credentials on the first synchronous lookup", async () => {
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const dir = await mkdtemp(join(tmpdir(), "openclaw-vertex-adc-"));
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tempDirs.push(dir);
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const credentialsPath = join(dir, "application_default_credentials.json");
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await writeFile(credentialsPath, "{}", "utf-8");
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await withEnvAsync(
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{
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GOOGLE_APPLICATION_CREDENTIALS: credentialsPath,
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GOOGLE_CLOUD_LOCATION: "us-central1",
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GOOGLE_CLOUD_PROJECT: "vertex-project",
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},
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async () => {
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vi.resetModules();
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const { getEnvApiKey } = await import("@openclaw/ai/internal/runtime");
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expect(getEnvApiKey("google-vertex")).toBe("<authenticated>");
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},
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);
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});
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it("detects canonical Moonshot and Kimi provider credentials", async () => {
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await withEnvAsync(
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{
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MOONSHOT_API_KEY: "moonshot-key",
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KIMI_API_KEY: "kimi-key",
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KIMICODE_API_KEY: "kimicode-key",
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},
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async () => {
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vi.resetModules();
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const { findEnvKeys, getEnvApiKey } = await import("@openclaw/ai/internal/runtime");
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expect(findEnvKeys("moonshot")).toEqual(["MOONSHOT_API_KEY", "KIMI_API_KEY"]);
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expect(getEnvApiKey("moonshot")).toBe("moonshot-key");
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expect(findEnvKeys("kimi")).toEqual(["KIMI_API_KEY", "KIMICODE_API_KEY"]);
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expect(getEnvApiKey("kimi")).toBe("kimi-key");
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expect(findEnvKeys("kimi-coding")).toEqual(["KIMI_API_KEY", "KIMICODE_API_KEY"]);
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expect(getEnvApiKey("kimi-coding")).toBe("kimi-key");
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},
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);
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});
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it("falls back to alternate canonical Kimi env vars", async () => {
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await withEnvAsync({ KIMICODE_API_KEY: "kimicode-key" }, async () => {
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vi.resetModules();
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const { findEnvKeys, getEnvApiKey } = await import("@openclaw/ai/internal/runtime");
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expect(findEnvKeys("kimi")).toEqual(["KIMICODE_API_KEY"]);
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expect(getEnvApiKey("kimi")).toBe("kimicode-key");
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});
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});
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it("does not cache missing Google Vertex ADC credentials", async () => {
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const dir = await mkdtemp(join(tmpdir(), "openclaw-vertex-adc-"));
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tempDirs.push(dir);
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const credentialsPath = join(dir, "application_default_credentials.json");
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await withEnvAsync(
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{
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GOOGLE_APPLICATION_CREDENTIALS: credentialsPath,
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GOOGLE_CLOUD_LOCATION: "us-central1",
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GOOGLE_CLOUD_PROJECT: "vertex-project",
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},
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async () => {
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vi.resetModules();
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const { getEnvApiKey } = await import("@openclaw/ai/internal/runtime");
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expect(getEnvApiKey("google-vertex")).toBeUndefined();
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await writeFile(credentialsPath, "{}", "utf-8");
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expect(getEnvApiKey("google-vertex")).toBe("<authenticated>");
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},
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);
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});
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});
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