mirror of
https://github.com/openclaw/openclaw.git
synced 2026-06-03 01:26:24 +00:00
* refactor: extract agent core package Introduce packages/agent-core as the OpenClaw-owned home for reusable agent loop, harness, session, prompt, and runtime dependency contracts. * refactor: extract shared llm runtime Move provider model registries, stream wrappers, OAuth helpers, and LLM utilities into src/llm with plugin-sdk barrels instead of depending on the old embedded runtime layout. * refactor: remove pi runtime internals Rename remaining Pi-shaped agent surfaces to OpenClaw agent runtime names, delete obsolete Pi docs and package graph checks, and add the third-party notice for incorporated code. * refactor: tighten agent session runtime Make agent-core/runtime dependencies explicit, consolidate compaction and session transcript helpers, and move model/session helpers behind OpenClaw-owned contracts. * refactor: remove static model and pi auth paths Drop static model catalogs and Pi auth bridges, move model/provider facts to manifest-owned runtime contracts, and harden internal embedded-agent utilities. * refactor: remove legacy provider compat paths * docs: remove agent parity notes * fix: skip provider wildcard metadata parsing * refactor: share session extension sdk loading * refactor: inline acpx proxy error formatter * refactor: fold edit recovery into edit tool * fix: accept extension batch separator * test: align startup provider plugin expectations * fix: restore provider-scoped release discovery * test: align static asset packaging expectations * fix: run static provider catalogs during scoped discovery * fix: add provider entry catalogs for scoped live discovery * fix: load lightweight provider catalog entries * fix: refresh provider-scoped plugin metadata * fix: keep provider catalog entries on release live path * fix: keep static manifest models in release live checks * fix: harden release model discovery * fix: reduce OpenAI live cache probe reasoning * fix: disable OpenAI cache probe reasoning * ci: extend OpenAI gateway live timeout * fix: extend live gateway model budget * fix: stabilize release validation regressions * fix: honor provider aliases in model rows * fix: stabilize release validation lanes * fix: stabilize release memory qa * ci: stabilize release validation lanes * ci: prefer ipv4 for live docker node calls * fix: restore shared tool-call stream wrapper * ci: remove legacy pi test shard alias * fix: clean up embedded agent test drift * fix: stabilize runtime alias status * fix: clean up embedded agent ci drift * fix: restore release ci invariants * fix: clean up post-rebase runtime drift * fix: restore release ci checks * fix: restore release ci after rebase * fix: remove stale pi runtime path * test: align compaction runtime expectations * test: update plugin prerelease expectations * fix: handle claude live tool approvals * fix: stabilize release validation gates * fix: finish agent runtime import * test: finish post-rebase agent runtime mocks * fix: keep codex compaction native * fix: stabilize codex app-server hook tests * test: isolate codex diagnostic active run * test: remove codex diagnostic completion race # Conflicts: # extensions/codex/src/app-server/run-attempt.test.ts * ci: fix full release manifest performance run id * refactor: narrow llm plugin sdk boundary * chore: drop generated google boundary stamps * fix: repair rebase fallout * fix: clean up rebased runtime references * fix: decode codex jwt payloads as base64url * fix: preserve shipped pi runtime alias * fix: add scoped sdk virtual modules * fix: decode llm codex oauth jwt as base64url * fix: avoid stale vertex adc negative cache * fix: harden tool arg decoding and codeql path * fix: keep vertex adc negative checks live * refactor: consolidate codex jwt and edit helpers * fix: await codex oauth node runtime imports * fix: preserve sdk tool and notice contracts * fix: preserve shipped compat config boundaries * fix: align codex oauth callback host * fix: terminate agent-core loop streams on failure * fix: keep codex oauth callback alive during fallback * ci: include session tools in critical codeql scans * fix: keep Cloudflare Anthropic provider auth header * docs: redirect legacy pi runtime pages * fix: honor bundled web provider compat discovery * fix: protect session output spill files * fix: keep legacy agent dir env blocked * fix: contain auto-discovered skill symlinks * fix: harden agent core sdk proxy surfaces * fix: restore approval reaction sdk compat * fix: keep live docker runs bounded * fix: keep codex oauth redirect host aligned * fix: resolve post-rebase agent runtime drift * fix: redact anthropic oauth parse failures * fix: preserve responses strict tool shaping * fix: repair agent runtime rebase cleanup * docs: redirect retired parity pages * fix: bound auto-discovered resources to roots * fix: repair post-rebase agent test drift * fix: preserve bundled provider allowlist migration * fix: preserve manifest-owned provider aliases * fix: declare photon image dependency * fix: keep provider headers out of proxy body * fix: preserve shipped env aliases * fix: refresh control ui i18n generated state * fix: quote read fallback paths * fix: preview edits through configured backend * test: satisfy core test typecheck * fix: preserve ZAI usage auth fallback * test: repair codex diagnostic test * fix: repair agent runtime rebase drift * test: finish embedded runner import rename * fix: repair agent runtime rebase integrations * test: align compaction oauth fallback expectations * fix: allow sdk-auth session models * fix: update doctor tool schema import * fix: preserve bedrock plugin region * fix: stream harmony-like prose immediately * ci: include session runtime in codeql shards * fix: repair latest rebase integrations * fix: honor explicit codex websocket transport * fix: keep openai-compatible credentials provider-scoped * fix: refresh sdk api baseline after rebase * fix: route cli runtime aliases through openclaw harness * test: rename stale harness mock expectation * test: rename embedded agent overflow calls * test: clean embedded auth test wording * test: use openclaw stream types in deepinfra cache test * fix: refresh sdk api baseline on latest main * fix: honor bundled discovery compat allowlists * fix: refresh sdk api baseline after latest rebase * fix: remove stale rebase imports * test: rename stale model catalog mock * test: mock renamed doctor runtime modules * fix: map canonical kimi env auth * fix: use internal model registry in bench script * fix: migrate deepinfra provider catalog entry * fix: enforce builtin tool suppression * fix: route compaction auth and proxy payloads safely * refactor: prune unused llm registry leftovers * test: update codex hooks session import * test: fix model picker ci coverage * test: align model picker auth mock types
874 lines
29 KiB
TypeScript
874 lines
29 KiB
TypeScript
import fs from "node:fs/promises";
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import os from "node:os";
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import path from "node:path";
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import { beforeAll, beforeEach, describe, expect, it, vi } from "vitest";
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import type { OpenClawConfig } from "../config/config.js";
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import type { AuthProfileFailureReason } from "./auth-profiles.js";
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import { classifyEmbeddedAgentRunResultForModelFallback } from "./embedded-agent-runner/result-fallback-classifier.js";
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import type { EmbeddedRunAttemptResult } from "./embedded-agent-runner/run/types.js";
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import { runWithModelFallback } from "./model-fallback.js";
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import {
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buildEmbeddedRunnerAssistant,
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createResolvedEmbeddedRunnerModel,
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makeEmbeddedRunnerAttempt,
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} from "./test-helpers/embedded-agent-runner-e2e-fixtures.js";
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import {
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installEmbeddedRunnerBackoffE2eMocks,
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installEmbeddedRunnerBaseE2eMocks,
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installEmbeddedRunnerFastRunE2eMocks,
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} from "./test-helpers/embedded-agent-runner-e2e-mocks.js";
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const runEmbeddedAttemptMock = vi.fn<(params: unknown) => Promise<EmbeddedRunAttemptResult>>();
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const { computeBackoffMock, sleepWithAbortMock } = vi.hoisted(() => ({
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computeBackoffMock: vi.fn(
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(
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_policy: { initialMs: number; maxMs: number; factor: number; jitter: number },
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_attempt: number,
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) => 321,
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),
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sleepWithAbortMock: vi.fn(async (_ms: number, _abortSignal?: AbortSignal) => undefined),
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}));
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vi.mock("./models-config.js", async () => {
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const mod = await vi.importActual<typeof import("./models-config.js")>("./models-config.js");
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return {
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...mod,
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ensureOpenClawModelsJson: vi.fn(async () => ({ wrote: false })),
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};
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});
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const installRunEmbeddedMocks = () => {
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installEmbeddedRunnerBaseE2eMocks();
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installEmbeddedRunnerFastRunE2eMocks({
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runEmbeddedAttempt: (params) => runEmbeddedAttemptMock(params),
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});
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installEmbeddedRunnerBackoffE2eMocks({
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computeBackoff: (policy, attempt) => computeBackoffMock(policy, attempt),
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sleepWithAbort: (ms, abortSignal) => sleepWithAbortMock(ms, abortSignal),
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});
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vi.doMock("./embedded-agent-runner/model.js", () => ({
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resolveModelAsync: async (provider: string, modelId: string) =>
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createResolvedEmbeddedRunnerModel(provider, modelId),
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}));
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};
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let runEmbeddedAgent: typeof import("./embedded-agent-runner/run.js").runEmbeddedAgent;
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beforeAll(async () => {
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vi.resetModules();
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installRunEmbeddedMocks();
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({ runEmbeddedAgent } = await import("./embedded-agent-runner/run.js"));
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});
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beforeEach(() => {
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runEmbeddedAttemptMock.mockReset();
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computeBackoffMock.mockClear();
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sleepWithAbortMock.mockClear();
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});
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const OVERLOADED_ERROR_PAYLOAD =
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'{"type":"error","error":{"type":"overloaded_error","message":"Overloaded"}}';
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const RATE_LIMIT_ERROR_MESSAGE = "rate limit exceeded";
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const NO_ENDPOINTS_FOUND_ERROR_MESSAGE = "404 No endpoints found for deepseek/deepseek-r1:free.";
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type EmbeddedAttemptParams = {
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provider: string;
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modelId?: string;
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authProfileId?: string;
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};
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function makeConfig(): OpenClawConfig {
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const apiKeyField = ["api", "Key"].join("");
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return {
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agents: {
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defaults: {
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model: {
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primary: "openai/mock-1",
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fallbacks: ["groq/mock-2"],
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},
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},
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},
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models: {
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providers: {
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openai: {
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api: "openai-responses",
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[apiKeyField]: "openai-test-key", // pragma: allowlist secret
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baseUrl: "https://example.com/openai",
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models: [
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{
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id: "mock-1",
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name: "Mock 1",
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reasoning: false,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 16_000,
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maxTokens: 2048,
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},
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],
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},
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groq: {
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api: "openai-responses",
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[apiKeyField]: "groq-test-key", // pragma: allowlist secret
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baseUrl: "https://example.com/groq",
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models: [
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{
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id: "mock-2",
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name: "Mock 2",
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reasoning: false,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 16_000,
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maxTokens: 2048,
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},
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],
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},
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},
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},
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} satisfies OpenClawConfig;
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}
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async function withAgentWorkspace<T>(
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fn: (ctx: { agentDir: string; workspaceDir: string }) => Promise<T>,
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): Promise<T> {
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const root = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-model-fallback-"));
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const agentDir = path.join(root, "agent");
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const workspaceDir = path.join(root, "workspace");
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await fs.mkdir(agentDir, { recursive: true });
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await fs.mkdir(workspaceDir, { recursive: true });
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try {
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return await fn({ agentDir, workspaceDir });
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} finally {
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await fs.rm(root, { recursive: true, force: true });
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}
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}
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async function writeAuthStore(
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agentDir: string,
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usageStats?: Record<
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string,
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{
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lastUsed?: number;
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cooldownUntil?: number;
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disabledUntil?: number;
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disabledReason?: AuthProfileFailureReason;
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failureCounts?: Partial<Record<AuthProfileFailureReason, number>>;
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}
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>,
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) {
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await fs.writeFile(
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path.join(agentDir, "auth-profiles.json"),
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JSON.stringify({
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version: 1,
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profiles: {
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"openai:p1": { type: "api_key", provider: "openai", key: "sk-openai" },
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"groq:p1": { type: "api_key", provider: "groq", key: "sk-groq" },
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},
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}),
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);
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await fs.writeFile(
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path.join(agentDir, "auth-state.json"),
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JSON.stringify({
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version: 1,
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usageStats:
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usageStats ??
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({
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"openai:p1": { lastUsed: 1 },
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"groq:p1": { lastUsed: 2 },
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} as const),
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}),
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);
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}
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async function readUsageStats(agentDir: string) {
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const raw = await fs.readFile(path.join(agentDir, "auth-state.json"), "utf-8");
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return JSON.parse(raw).usageStats as Record<string, Record<string, unknown> | undefined>;
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}
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function expectFailureCount(
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usageStats: Record<string, Record<string, unknown> | undefined>,
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profileId: string,
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reason: AuthProfileFailureReason,
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expected: number,
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) {
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const failureCounts = usageStats[profileId]?.failureCounts as Record<string, unknown> | undefined;
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expect(failureCounts?.[reason]).toBe(expected);
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}
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async function writeMultiProfileAuthStore(agentDir: string) {
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await fs.writeFile(
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path.join(agentDir, "auth-profiles.json"),
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JSON.stringify({
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version: 1,
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profiles: {
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"openai:p1": { type: "api_key", provider: "openai", key: "sk-openai-1" },
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"openai:p2": { type: "api_key", provider: "openai", key: "sk-openai-2" },
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"openai:p3": { type: "api_key", provider: "openai", key: "sk-openai-3" },
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"groq:p1": { type: "api_key", provider: "groq", key: "sk-groq" },
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},
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}),
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);
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await fs.writeFile(
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path.join(agentDir, "auth-state.json"),
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JSON.stringify({
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version: 1,
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usageStats: {
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"openai:p1": { lastUsed: 1 },
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"openai:p2": { lastUsed: 2 },
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"openai:p3": { lastUsed: 3 },
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"groq:p1": { lastUsed: 4 },
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},
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}),
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);
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}
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async function runEmbeddedFallback(params: {
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agentDir: string;
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workspaceDir: string;
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sessionKey: string;
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runId: string;
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abortSignal?: AbortSignal;
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config?: OpenClawConfig;
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}) {
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const cfg = params.config ?? makeConfig();
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return await runWithModelFallback({
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cfg,
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provider: "openai",
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model: "mock-1",
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runId: params.runId,
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agentDir: params.agentDir,
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run: (provider, model, options) =>
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runEmbeddedAgent({
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sessionId: `session:${params.runId}`,
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sessionKey: params.sessionKey,
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sessionFile: path.join(params.workspaceDir, `${params.runId}.jsonl`),
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workspaceDir: params.workspaceDir,
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agentDir: params.agentDir,
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config: cfg,
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prompt: "hello",
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provider,
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model,
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authProfileIdSource: "auto",
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allowTransientCooldownProbe: options?.allowTransientCooldownProbe,
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timeoutMs: 5_000,
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runId: params.runId,
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abortSignal: params.abortSignal,
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enqueue: async (task) => await task(),
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}),
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});
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}
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function mockPrimaryOverloadedThenFallbackSuccess() {
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mockPrimaryErrorThenFallbackSuccess(OVERLOADED_ERROR_PAYLOAD);
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}
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function makeFallbackSuccessAttempt(): EmbeddedRunAttemptResult {
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return makeEmbeddedRunnerAttempt({
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assistantTexts: ["fallback ok"],
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lastAssistant: buildEmbeddedRunnerAssistant({
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provider: "groq",
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model: "mock-2",
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stopReason: "stop",
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content: [{ type: "text", text: "fallback ok" }],
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}),
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});
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}
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function mockPrimaryFailureThenFallbackSuccess(
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makePrimaryAttempt: (
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attemptParams: EmbeddedAttemptParams,
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) => EmbeddedRunAttemptResult | Promise<EmbeddedRunAttemptResult>,
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) {
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runEmbeddedAttemptMock.mockImplementation(async (params: unknown) => {
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const attemptParams = params as EmbeddedAttemptParams;
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if (attemptParams.provider === "openai") {
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return await makePrimaryAttempt(attemptParams);
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}
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if (attemptParams.provider === "groq") {
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return makeFallbackSuccessAttempt();
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}
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throw new Error(`Unexpected provider ${attemptParams.provider}`);
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});
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}
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function mockPrimaryPromptErrorThenFallbackSuccess(errorMessage: string) {
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mockPrimaryFailureThenFallbackSuccess(() =>
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makeEmbeddedRunnerAttempt({
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promptError: new Error(errorMessage),
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}),
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);
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}
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function mockPrimaryErrorThenFallbackSuccess(errorMessage: string) {
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mockPrimaryFailureThenFallbackSuccess(() =>
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makeEmbeddedRunnerAttempt({
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assistantTexts: [],
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lastAssistant: buildEmbeddedRunnerAssistant({
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provider: "openai",
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model: "mock-1",
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stopReason: "error",
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errorMessage,
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}),
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}),
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);
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}
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function mockPrimaryStaleRateLimitTextSuccess(errorMessage: string) {
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mockPrimaryFailureThenFallbackSuccess(() =>
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makeEmbeddedRunnerAttempt({
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assistantTexts: ["primary ok"],
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lastAssistant: buildEmbeddedRunnerAssistant({
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provider: "openai",
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model: "mock-1",
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stopReason: "stop",
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content: [{ type: "text", text: "primary ok" }],
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errorMessage,
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}),
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}),
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);
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}
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function expectOpenAiThenGroqAttemptOrder(params?: { expectOpenAiAuthProfileId?: string }) {
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expect(runEmbeddedAttemptMock).toHaveBeenCalledTimes(2);
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const firstCall = runEmbeddedAttemptMock.mock.calls[0]?.[0] as
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| { provider?: string; authProfileId?: string }
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| undefined;
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const secondCall = runEmbeddedAttemptMock.mock.calls[1]?.[0] as { provider?: string } | undefined;
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if (!firstCall || !secondCall) {
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throw new Error("expected primary and fallback embedded run attempts");
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}
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expect(firstCall.provider).toBe("openai");
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if (params?.expectOpenAiAuthProfileId) {
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expect(firstCall.authProfileId).toBe(params.expectOpenAiAuthProfileId);
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}
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expect(secondCall.provider).toBe("groq");
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}
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function mockAllProvidersOverloaded() {
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runEmbeddedAttemptMock.mockImplementation(async (params: unknown) => {
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const attemptParams = params as { provider: string; modelId: string; authProfileId?: string };
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if (attemptParams.provider === "openai" || attemptParams.provider === "groq") {
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return makeEmbeddedRunnerAttempt({
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assistantTexts: [],
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lastAssistant: buildEmbeddedRunnerAssistant({
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provider: attemptParams.provider,
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model: attemptParams.provider === "openai" ? "mock-1" : "mock-2",
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stopReason: "error",
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errorMessage: OVERLOADED_ERROR_PAYLOAD,
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}),
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});
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}
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throw new Error(`Unexpected provider ${attemptParams.provider}`);
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});
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}
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function countProviderAttempts(provider: string) {
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return runEmbeddedAttemptMock.mock.calls.filter(
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(call) => (call[0] as { provider?: string })?.provider === provider,
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).length;
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}
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function expectProviderAttemptCounts(expected: { openai: number; groq: number }) {
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expect(countProviderAttempts("openai")).toBe(expected.openai);
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expect(countProviderAttempts("groq")).toBe(expected.groq);
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}
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describe("runWithModelFallback + runEmbeddedAgent failover behavior", () => {
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it("keeps tool summary on incomplete side-effect terminal results", async () => {
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await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
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await writeAuthStore(agentDir);
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runEmbeddedAttemptMock.mockResolvedValueOnce(
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makeEmbeddedRunnerAttempt({
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toolMetas: [{ toolName: "write", meta: "path=out.txt" }],
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lastAssistant: buildEmbeddedRunnerAssistant({
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provider: "openai",
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model: "mock-1",
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stopReason: "stop",
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content: [],
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}),
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}),
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);
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const result = await runEmbeddedAgent({
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sessionId: "session:tool-side-effect-terminal",
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sessionKey: "agent:test:tool-side-effect-terminal",
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sessionFile: path.join(workspaceDir, "tool-side-effect-terminal.jsonl"),
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workspaceDir,
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agentDir,
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config: makeConfig(),
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prompt: "write the file",
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provider: "openai",
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model: "mock-1",
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authProfileIdSource: "auto",
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timeoutMs: 5_000,
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runId: "run:tool-side-effect-terminal",
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enqueue: async (task) => await task(),
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});
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expect(result.meta.toolSummary?.calls).toBe(1);
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expect(result.meta.toolSummary?.tools).toEqual(["write"]);
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expect(
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classifyEmbeddedAgentRunResultForModelFallback({
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provider: "openai-codex",
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|
model: "gpt-5.4",
|
|
result,
|
|
}),
|
|
).toBeNull();
|
|
});
|
|
});
|
|
|
|
it("falls back on OpenRouter-style no-endpoints assistant errors", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockPrimaryErrorThenFallbackSuccess(NO_ENDPOINTS_FOUND_ERROR_MESSAGE);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:model-not-found-no-endpoints",
|
|
runId: "run:model-not-found-no-endpoints",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.attempts[0]?.reason).toBe("model_not_found");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
|
|
expectOpenAiThenGroqAttemptOrder();
|
|
});
|
|
});
|
|
|
|
it("falls back on timeout errors using defaults-only model fallbacks", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockPrimaryErrorThenFallbackSuccess("LLM request timed out.");
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:timeout-defaults-fallback",
|
|
runId: "run:timeout-defaults-fallback",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.attempts[0]?.reason).toBe("timeout");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
|
|
expectOpenAiThenGroqAttemptOrder();
|
|
});
|
|
});
|
|
|
|
it("falls back across providers after overloaded primary failure and persists transient cooldown", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-cross-provider",
|
|
runId: "run:overloaded-cross-provider",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.attempts[0]?.reason).toBe("overloaded");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
|
|
const usageStats = await readUsageStats(agentDir);
|
|
expect(typeof usageStats["openai:p1"]?.cooldownUntil).toBe("number");
|
|
expectFailureCount(usageStats, "openai:p1", "overloaded", 1);
|
|
expect(typeof usageStats["groq:p1"]?.lastUsed).toBe("number");
|
|
|
|
expectOpenAiThenGroqAttemptOrder();
|
|
expect(computeBackoffMock).not.toHaveBeenCalled();
|
|
expect(sleepWithAbortMock).not.toHaveBeenCalled();
|
|
});
|
|
});
|
|
|
|
it("falls back across providers after bare Codex/Undici transport failures", async () => {
|
|
const cases = [
|
|
{
|
|
name: "undici-terminated",
|
|
message: "terminated",
|
|
},
|
|
{
|
|
name: "stream-read-error",
|
|
message: "stream_read_error",
|
|
},
|
|
{
|
|
name: "codex-empty-transport-response",
|
|
message: "Request failed",
|
|
},
|
|
] as const;
|
|
|
|
for (const { name, message } of cases) {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
runEmbeddedAttemptMock.mockClear();
|
|
computeBackoffMock.mockClear();
|
|
sleepWithAbortMock.mockClear();
|
|
mockPrimaryErrorThenFallbackSuccess(message);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: `agent:test:transport-fallback:${name}`,
|
|
runId: `run:transport-fallback:${name}`,
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.attempts[0]?.reason).toBe("timeout");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
|
|
const usageStats = await readUsageStats(agentDir);
|
|
expect(usageStats["openai:p1"]?.cooldownUntil).toBeUndefined();
|
|
expect(usageStats["openai:p1"]?.failureCounts).toBeUndefined();
|
|
expect(typeof usageStats["groq:p1"]?.lastUsed).toBe("number");
|
|
|
|
expectOpenAiThenGroqAttemptOrder();
|
|
expect(computeBackoffMock).not.toHaveBeenCalled();
|
|
expect(sleepWithAbortMock).not.toHaveBeenCalled();
|
|
});
|
|
}
|
|
});
|
|
|
|
it("falls back across providers after a bare leading 402 quota-refresh assistant error", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockPrimaryErrorThenFallbackSuccess(
|
|
"402 You have reached your subscription quota limit. Please wait for automatic quota refresh in the rolling time window, upgrade to a higher plan, or use a Pay-As-You-Go API Key for unlimited access.",
|
|
);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:bare-402-cross-provider",
|
|
runId: "run:bare-402-cross-provider",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.attempts[0]?.reason).toBe("rate_limit");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
expectOpenAiThenGroqAttemptOrder();
|
|
});
|
|
});
|
|
|
|
it("surfaces a bounded overloaded summary when every fallback candidate is overloaded", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockAllProvidersOverloaded();
|
|
|
|
let thrown: unknown;
|
|
try {
|
|
await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:all-overloaded",
|
|
runId: "run:all-overloaded",
|
|
});
|
|
} catch (err) {
|
|
thrown = err;
|
|
}
|
|
|
|
expect(thrown).toBeInstanceOf(Error);
|
|
expect((thrown as Error).message).toMatch(/^All models failed \(2\): /);
|
|
expect((thrown as Error).message).toMatch(
|
|
/openai\/mock-1: .* \(overloaded\) \| groq\/mock-2: .* \(overloaded\)/,
|
|
);
|
|
|
|
expect(runEmbeddedAttemptMock).toHaveBeenCalledTimes(2);
|
|
expect(computeBackoffMock).not.toHaveBeenCalled();
|
|
expect(sleepWithAbortMock).not.toHaveBeenCalled();
|
|
});
|
|
});
|
|
|
|
it("probes a provider already in overloaded cooldown before falling back", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
const now = Date.now();
|
|
await writeAuthStore(agentDir, {
|
|
"openai:p1": {
|
|
lastUsed: 1,
|
|
cooldownUntil: now + 60_000,
|
|
failureCounts: { overloaded: 2 },
|
|
},
|
|
"groq:p1": { lastUsed: 2 },
|
|
});
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-probe-fallback",
|
|
runId: "run:overloaded-probe-fallback",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expectOpenAiThenGroqAttemptOrder({ expectOpenAiAuthProfileId: "openai:p1" });
|
|
});
|
|
});
|
|
|
|
it("persists overloaded cooldown across turns while still allowing one probe and fallback", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
|
|
const firstResult = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-two-turns:first",
|
|
runId: "run:overloaded-two-turns:first",
|
|
});
|
|
|
|
expect(firstResult.provider).toBe("groq");
|
|
|
|
runEmbeddedAttemptMock.mockClear();
|
|
computeBackoffMock.mockClear();
|
|
sleepWithAbortMock.mockClear();
|
|
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
|
|
const secondResult = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-two-turns:second",
|
|
runId: "run:overloaded-two-turns:second",
|
|
});
|
|
|
|
expect(secondResult.provider).toBe("groq");
|
|
expectOpenAiThenGroqAttemptOrder({ expectOpenAiAuthProfileId: "openai:p1" });
|
|
|
|
const usageStats = await readUsageStats(agentDir);
|
|
expect(typeof usageStats["openai:p1"]?.cooldownUntil).toBe("number");
|
|
expectFailureCount(usageStats, "openai:p1", "overloaded", 2);
|
|
expect(computeBackoffMock).not.toHaveBeenCalled();
|
|
expect(sleepWithAbortMock).not.toHaveBeenCalled();
|
|
});
|
|
});
|
|
|
|
it("keeps bare service-unavailable failures in the timeout lane without persisting cooldown", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
mockPrimaryErrorThenFallbackSuccess("LLM error: service unavailable");
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:timeout-cross-provider",
|
|
runId: "run:timeout-cross-provider",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.attempts[0]?.reason).toBe("timeout");
|
|
|
|
const usageStats = await readUsageStats(agentDir);
|
|
expect(usageStats["openai:p1"]?.cooldownUntil).toBeUndefined();
|
|
expect(usageStats["openai:p1"]?.failureCounts).toBeUndefined();
|
|
expect(computeBackoffMock).not.toHaveBeenCalled();
|
|
expect(sleepWithAbortMock).not.toHaveBeenCalled();
|
|
});
|
|
});
|
|
|
|
it("rethrows AbortError during overload backoff instead of falling through fallback", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeAuthStore(agentDir);
|
|
const controller = new AbortController();
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
sleepWithAbortMock.mockImplementationOnce(async () => {
|
|
controller.abort();
|
|
throw new Error("aborted");
|
|
});
|
|
|
|
let thrown: unknown;
|
|
try {
|
|
await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-backoff-abort",
|
|
runId: "run:overloaded-backoff-abort",
|
|
abortSignal: controller.signal,
|
|
config: {
|
|
...makeConfig(),
|
|
auth: { cooldowns: { overloadedBackoffMs: 321 } },
|
|
},
|
|
});
|
|
} catch (error) {
|
|
thrown = error;
|
|
}
|
|
|
|
expect(thrown).toBeInstanceOf(Error);
|
|
expect((thrown as Error).name).toBe("AbortError");
|
|
expect((thrown as Error).message).toBe("Operation aborted");
|
|
|
|
expect(runEmbeddedAttemptMock).toHaveBeenCalledTimes(1);
|
|
const firstCall = runEmbeddedAttemptMock.mock.calls[0]?.[0] as
|
|
| { provider?: string }
|
|
| undefined;
|
|
expect(firstCall?.provider).toBe("openai");
|
|
});
|
|
});
|
|
|
|
it("caps overloaded profile rotations and escalates to cross-provider fallback (#58348)", async () => {
|
|
// When a provider has multiple auth profiles and all return overloaded_error,
|
|
// the runner should not exhaust all profiles before falling back. It should
|
|
// cap profile rotations at overloadedProfileRotations=1 and escalate
|
|
// to cross-provider fallback immediately.
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-multi-profile-cap",
|
|
runId: "run:overloaded-multi-profile-cap",
|
|
});
|
|
|
|
// Should fall back to groq instead of exhausting all 3 openai profiles
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
|
|
// With overloadedProfileRotations=1, we expect:
|
|
// - 1 initial openai attempt (p1)
|
|
// - 1 rotation to p2 (capped)
|
|
// - escalation to groq (1 attempt)
|
|
// Total: 3 attempts, NOT 4 (which would mean all 3 openai profiles tried)
|
|
expectProviderAttemptCounts({ openai: 2, groq: 1 });
|
|
});
|
|
});
|
|
|
|
it("respects overloadedProfileRotations=0 and falls back immediately", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
mockPrimaryOverloadedThenFallbackSuccess();
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:overloaded-no-rotation",
|
|
runId: "run:overloaded-no-rotation",
|
|
config: {
|
|
...makeConfig(),
|
|
auth: { cooldowns: { overloadedProfileRotations: 0 } },
|
|
},
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expectProviderAttemptCounts({ openai: 1, groq: 1 });
|
|
});
|
|
});
|
|
|
|
it("caps rate-limit profile rotations and escalates to cross-provider fallback (#58572)", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
|
|
mockPrimaryErrorThenFallbackSuccess(RATE_LIMIT_ERROR_MESSAGE);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:rate-limit-multi-profile-cap",
|
|
runId: "run:rate-limit-multi-profile-cap",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
expect(result.result.payloads?.[0]?.text ?? "").toContain("fallback ok");
|
|
|
|
expectProviderAttemptCounts({ openai: 2, groq: 1 });
|
|
});
|
|
});
|
|
|
|
it("ignores stale classified rate-limit text when stopReason is not error", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
|
|
mockPrimaryStaleRateLimitTextSuccess(RATE_LIMIT_ERROR_MESSAGE);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:rate-limit-retry-limit-fallback",
|
|
runId: "run:rate-limit-retry-limit-fallback",
|
|
config: {
|
|
...makeConfig(),
|
|
auth: { cooldowns: { rateLimitedProfileRotations: 999 } },
|
|
},
|
|
});
|
|
|
|
expect(result.provider).toBe("openai");
|
|
expect(result.model).toBe("mock-1");
|
|
expect(result.attempts).toEqual([]);
|
|
|
|
expectProviderAttemptCounts({ openai: 1, groq: 0 });
|
|
});
|
|
});
|
|
|
|
it("respects rateLimitedProfileRotations=0 and falls back immediately", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
|
|
mockPrimaryErrorThenFallbackSuccess(RATE_LIMIT_ERROR_MESSAGE);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:rate-limit-no-rotation",
|
|
runId: "run:rate-limit-no-rotation",
|
|
config: {
|
|
...makeConfig(),
|
|
auth: { cooldowns: { rateLimitedProfileRotations: 0 } },
|
|
},
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expectProviderAttemptCounts({ openai: 1, groq: 1 });
|
|
});
|
|
});
|
|
|
|
it("caps prompt-side rate-limit profile rotations before cross-provider fallback", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
|
|
mockPrimaryPromptErrorThenFallbackSuccess(RATE_LIMIT_ERROR_MESSAGE);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:prompt-rate-limit-multi-profile-cap",
|
|
runId: "run:prompt-rate-limit-multi-profile-cap",
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expect(result.model).toBe("mock-2");
|
|
|
|
expectProviderAttemptCounts({ openai: 2, groq: 1 });
|
|
});
|
|
});
|
|
|
|
it("respects prompt-side rateLimitedProfileRotations=0 and falls back immediately", async () => {
|
|
await withAgentWorkspace(async ({ agentDir, workspaceDir }) => {
|
|
await writeMultiProfileAuthStore(agentDir);
|
|
|
|
mockPrimaryPromptErrorThenFallbackSuccess(RATE_LIMIT_ERROR_MESSAGE);
|
|
|
|
const result = await runEmbeddedFallback({
|
|
agentDir,
|
|
workspaceDir,
|
|
sessionKey: "agent:test:prompt-rate-limit-no-rotation",
|
|
runId: "run:prompt-rate-limit-no-rotation",
|
|
config: {
|
|
...makeConfig(),
|
|
auth: { cooldowns: { rateLimitedProfileRotations: 0 } },
|
|
},
|
|
});
|
|
|
|
expect(result.provider).toBe("groq");
|
|
expectProviderAttemptCounts({ openai: 1, groq: 1 });
|
|
});
|
|
});
|
|
});
|