can1357
780 lines
27 KiB
TypeScript
780 lines
27 KiB
TypeScript
import { afterEach, beforeEach, describe, expect, it, vi } from "bun:test";
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import * as path from "node:path";
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import { scheduler } from "node:timers/promises";
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import { Agent } from "@oh-my-pi/pi-agent-core";
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import { type AssistantMessage, Effort, getBundledModel, type Model, writeModelCache } from "@oh-my-pi/pi-ai";
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import { createMockModel } from "@oh-my-pi/pi-ai/providers/mock";
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import { ModelRegistry } from "@oh-my-pi/pi-coding-agent/config/model-registry";
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import { Settings } from "@oh-my-pi/pi-coding-agent/config/settings";
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import { AgentSession, type AgentSessionEvent } from "@oh-my-pi/pi-coding-agent/session/agent-session";
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import { AuthStorage } from "@oh-my-pi/pi-coding-agent/session/auth-storage";
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import { SessionManager } from "@oh-my-pi/pi-coding-agent/session/session-manager";
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import { TempDir } from "@oh-my-pi/pi-utils";
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type AutoRetryStartEvent = Extract<AgentSessionEvent, { type: "auto_retry_start" }>;
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type AutoRetryEndEvent = Extract<AgentSessionEvent, { type: "auto_retry_end" }>;
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function trackRetryEvents(session: AgentSession): {
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retryStartEvents: AutoRetryStartEvent[];
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retryEndEvents: AutoRetryEndEvent[];
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} {
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const retryStartEvents: AutoRetryStartEvent[] = [];
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const retryEndEvents: AutoRetryEndEvent[] = [];
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session.subscribe(event => {
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if (event.type === "auto_retry_start") {
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retryStartEvents.push(event);
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}
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if (event.type === "auto_retry_end") {
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retryEndEvents.push(event);
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}
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});
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return { retryStartEvents, retryEndEvents };
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}
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function getLastAssistantMessage(session: AgentSession): AssistantMessage {
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const lastMessage = session.messages.at(-1);
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if (lastMessage?.role !== "assistant") {
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throw new Error("Expected final assistant message");
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}
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return lastMessage;
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}
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function createFallbackAgent(primaryModel: Model, requestedModels: string[]): Agent {
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const mock = createMockModel();
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let primaryAttempts = 0;
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return new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model: primaryModel,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (model, context, options) => {
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requestedModels.push(`${model.provider}/${model.id}`);
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if (model.provider === primaryModel.provider && model.id === primaryModel.id && primaryAttempts === 0) {
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primaryAttempts += 1;
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mock.push({ throw: "rate limit exceeded retry-after-ms=200" });
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} else {
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mock.push({ content: [`ok:${model.provider}/${model.id}`] });
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}
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return mock.stream(model, context, options);
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},
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});
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}
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describe("AgentSession retry fallback", () => {
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let tempDir: TempDir;
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let authStorage: AuthStorage;
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let modelRegistry: ModelRegistry;
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let session: AgentSession | undefined;
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beforeEach(async () => {
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tempDir = TempDir.createSync("@pi-retry-fallback-");
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authStorage = await AuthStorage.create(path.join(tempDir.path(), "testauth.db"));
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authStorage.setRuntimeApiKey("anthropic", "anthropic-test-key");
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authStorage.setRuntimeApiKey("openai", "openai-test-key");
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authStorage.setRuntimeApiKey("google", "google-test-key");
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modelRegistry = new ModelRegistry(authStorage);
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});
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afterEach(async () => {
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if (session) {
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await session.dispose();
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session = undefined;
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}
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authStorage.close();
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tempDir.removeSync();
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vi.restoreAllMocks();
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});
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it("advances through a role-keyed fallback chain across retries", async () => {
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const primaryModel = getBundledModel("anthropic", "claude-sonnet-4-5");
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const firstFallback = getBundledModel("openai", "gpt-4o-mini");
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const secondFallback = getBundledModel("openai", "gpt-4o");
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if (!primaryModel || !firstFallback || !secondFallback) {
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throw new Error("Expected bundled test models to exist");
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}
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const requestedModels: string[] = [];
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const retryStartEvents: Array<Extract<AgentSessionEvent, { type: "auto_retry_start" }>> = [];
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const retryEndEvents: Array<Extract<AgentSessionEvent, { type: "auto_retry_end" }>> = [];
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const fallbackAppliedEvents: Array<Extract<AgentSessionEvent, { type: "retry_fallback_applied" }>> = [];
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const fallbackSucceededEvents: Array<Extract<AgentSessionEvent, { type: "retry_fallback_succeeded" }>> = [];
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const mock = createMockModel();
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const agent = new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model: primaryModel,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (model, context, options) => {
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requestedModels.push(`${model.provider}/${model.id}`);
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if (model.provider === primaryModel.provider && model.id === primaryModel.id) {
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mock.push({ throw: "overloaded_error: provider returned error 503" });
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} else if (model.provider === firstFallback.provider && model.id === firstFallback.id) {
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mock.push({ throw: "service unavailable: 503 overloaded" });
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} else if (model.provider === secondFallback.provider && model.id === secondFallback.id) {
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mock.push({ content: ["Recovered on second fallback"] });
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} else {
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throw new Error(`Unexpected model requested during retry fallback test: ${model.provider}/${model.id}`);
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}
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return mock.stream(model, context, options);
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},
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});
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const settings = Settings.isolated({
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"compaction.enabled": false,
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"retry.baseDelayMs": 5,
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"retry.fallbackChains": {
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default: [
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`${firstFallback.provider}/${firstFallback.id}`,
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`${secondFallback.provider}/${secondFallback.id}`,
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],
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},
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});
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settings.setModelRole("default", `${primaryModel.provider}/${primaryModel.id}`);
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session = new AgentSession({
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agent,
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sessionManager: SessionManager.inMemory(),
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settings,
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modelRegistry,
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});
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session.subscribe(event => {
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if (event.type === "auto_retry_start") {
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retryStartEvents.push(event);
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}
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if (event.type === "auto_retry_end") {
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retryEndEvents.push(event);
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}
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if (event.type === "retry_fallback_applied") {
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fallbackAppliedEvents.push(event);
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}
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if (event.type === "retry_fallback_succeeded") {
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fallbackSucceededEvents.push(event);
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}
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});
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await session.prompt("Recover from rate limits");
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await session.waitForIdle();
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expect(requestedModels).toEqual([
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`${primaryModel.provider}/${primaryModel.id}`,
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`${firstFallback.provider}/${firstFallback.id}`,
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`${secondFallback.provider}/${secondFallback.id}`,
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]);
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expect(session.model?.provider).toBe(secondFallback.provider);
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expect(session.model?.id).toBe(secondFallback.id);
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expect(retryStartEvents.map(event => event.delayMs)).toEqual([0, 0]);
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expect(fallbackAppliedEvents).toEqual([
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{
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type: "retry_fallback_applied",
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from: `${primaryModel.provider}/${primaryModel.id}`,
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to: `${firstFallback.provider}/${firstFallback.id}`,
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role: "default",
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},
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{
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type: "retry_fallback_applied",
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from: `${firstFallback.provider}/${firstFallback.id}`,
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to: `${secondFallback.provider}/${secondFallback.id}`,
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role: "default",
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},
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]);
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expect(retryEndEvents).toHaveLength(1);
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expect(retryEndEvents[0]).toMatchObject({ success: true, attempt: 2 });
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expect(fallbackSucceededEvents).toEqual([
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{
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type: "retry_fallback_succeeded",
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model: `${secondFallback.provider}/${secondFallback.id}`,
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role: "default",
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},
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]);
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});
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it("uses Google retry hints in quota errors before quota backoff", async () => {
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const model = getBundledModel("google", "gemini-1.5-flash");
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if (!model) {
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throw new Error("Expected bundled Google test model to exist");
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}
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const errorMessage =
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"Google API error (429): Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 250000. Please retry in 0.05s.";
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const requestedModels: string[] = [];
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const mock = createMockModel({
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responses: [{ throw: errorMessage }, { content: ["Recovered after Google quota retry"] }],
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});
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const agent = new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (requestedModel, context, options) => {
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requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
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return mock.stream(requestedModel, context, options);
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},
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});
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const settings = Settings.isolated({
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"compaction.enabled": false,
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"retry.baseDelayMs": 5,
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"retry.maxRetries": 1,
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});
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settings.setModelRole("default", `${model.provider}/${model.id}`);
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session = new AgentSession({
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agent,
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sessionManager: SessionManager.inMemory(),
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settings,
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modelRegistry,
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});
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const waitSpy = vi.spyOn(scheduler, "wait").mockResolvedValue(undefined);
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const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
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await session.prompt("Retry Google token quota");
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await session.waitForIdle();
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expect(requestedModels).toEqual([`${model.provider}/${model.id}`, `${model.provider}/${model.id}`]);
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expect(retryStartEvents).toHaveLength(1);
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expect(retryStartEvents[0]).toMatchObject({
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attempt: 1,
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maxAttempts: 1,
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delayMs: 50,
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errorMessage,
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});
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expect(waitSpy).toHaveBeenCalledWith(50, { signal: expect.any(AbortSignal) });
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expect(retryEndEvents).toHaveLength(1);
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expect(retryEndEvents[0]).toMatchObject({ success: true, attempt: 1 });
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const lastAssistant = getLastAssistantMessage(session);
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expect(lastAssistant.stopReason).toBe("stop");
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expect(lastAssistant.content).toContainEqual({ type: "text", text: "Recovered after Google quota retry" });
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});
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it("auto-retries preserved OpenAI first-event timeout errors", async () => {
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const model = getBundledModel("openai", "gpt-4o-mini");
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if (!model) {
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throw new Error("Expected bundled OpenAI test model to exist");
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}
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const timeoutMessage = "OpenAI responses stream timed out while waiting for the first event";
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const requestedModels: string[] = [];
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const mock = createMockModel({
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responses: [{ throw: timeoutMessage }, { content: ["Recovered after OpenAI timeout"] }],
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});
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const agent = new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (requestedModel, context, options) => {
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requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
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return mock.stream(requestedModel, context, options);
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},
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});
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const settings = Settings.isolated({
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"compaction.enabled": false,
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"retry.baseDelayMs": 5,
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"retry.maxRetries": 1,
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});
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settings.setModelRole("default", `${model.provider}/${model.id}`);
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session = new AgentSession({
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agent,
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sessionManager: SessionManager.inMemory(),
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settings,
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modelRegistry,
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});
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const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
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await session.prompt("Retry preserved OpenAI timeout");
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await session.waitForIdle();
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expect(requestedModels).toEqual([`${model.provider}/${model.id}`, `${model.provider}/${model.id}`]);
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expect(retryStartEvents).toHaveLength(1);
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expect(retryStartEvents[0]).toMatchObject({
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attempt: 1,
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maxAttempts: 1,
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errorMessage: timeoutMessage,
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});
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expect(retryEndEvents).toHaveLength(1);
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expect(retryEndEvents[0]).toMatchObject({ success: true, attempt: 1 });
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const lastAssistant = getLastAssistantMessage(session);
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expect(lastAssistant.stopReason).toBe("stop");
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expect(lastAssistant.content).toContainEqual({ type: "text", text: "Recovered after OpenAI timeout" });
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});
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it("auto-retries stream stall errors", async () => {
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const model = getBundledModel("openai", "gpt-4o-mini");
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if (!model) {
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throw new Error("Expected bundled OpenAI test model to exist");
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}
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const stallMessage = "Provider stream stalled while waiting for the next event";
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const requestedModels: string[] = [];
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const mock = createMockModel({
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responses: [{ throw: stallMessage }, { content: ["Recovered after stream stall"] }],
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});
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const agent = new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (requestedModel, context, options) => {
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requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
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return mock.stream(requestedModel, context, options);
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},
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});
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const settings = Settings.isolated({
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"compaction.enabled": false,
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"retry.baseDelayMs": 5,
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"retry.maxRetries": 1,
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});
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settings.setModelRole("default", `${model.provider}/${model.id}`);
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session = new AgentSession({
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agent,
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sessionManager: SessionManager.inMemory(),
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settings,
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modelRegistry,
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});
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const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
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await session.prompt("Retry stream stall");
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await session.waitForIdle();
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expect(requestedModels).toEqual([`${model.provider}/${model.id}`, `${model.provider}/${model.id}`]);
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expect(retryStartEvents).toHaveLength(1);
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expect(retryStartEvents[0]).toMatchObject({
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attempt: 1,
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maxAttempts: 1,
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errorMessage: stallMessage,
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});
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expect(retryEndEvents).toHaveLength(1);
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expect(retryEndEvents[0]).toMatchObject({ success: true, attempt: 1 });
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const lastAssistant = getLastAssistantMessage(session);
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expect(lastAssistant.stopReason).toBe("stop");
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expect(lastAssistant.content).toContainEqual({ type: "text", text: "Recovered after stream stall" });
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});
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it("auto-retries OpenAI processing-request transient errors", async () => {
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const model = getBundledModel("openai", "gpt-4o-mini");
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if (!model) {
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throw new Error("Expected bundled OpenAI test model to exist");
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}
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const processingError =
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"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID 4a4c6b73-a07c-4de0-aaaf-82560f9f626a in your message.";
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const requestedModels: string[] = [];
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const mock = createMockModel({
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responses: [{ throw: processingError }, { content: ["Recovered after OpenAI processing error"] }],
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});
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const agent = new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (requestedModel, context, options) => {
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requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
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return mock.stream(requestedModel, context, options);
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},
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});
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const settings = Settings.isolated({
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"compaction.enabled": false,
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"retry.baseDelayMs": 5,
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"retry.maxRetries": 1,
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});
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settings.setModelRole("default", `${model.provider}/${model.id}`);
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session = new AgentSession({
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agent,
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sessionManager: SessionManager.inMemory(),
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settings,
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modelRegistry,
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});
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const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
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await session.prompt("Retry OpenAI processing-request error");
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await session.waitForIdle();
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expect(requestedModels).toEqual([`${model.provider}/${model.id}`, `${model.provider}/${model.id}`]);
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expect(retryStartEvents).toHaveLength(1);
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expect(retryStartEvents[0]).toMatchObject({
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attempt: 1,
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maxAttempts: 1,
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errorMessage: processingError,
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});
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expect(retryEndEvents).toHaveLength(1);
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expect(retryEndEvents[0]).toMatchObject({ success: true, attempt: 1 });
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const lastAssistant = getLastAssistantMessage(session);
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expect(lastAssistant.stopReason).toBe("stop");
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expect(lastAssistant.content).toContainEqual({
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type: "text",
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text: "Recovered after OpenAI processing error",
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});
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});
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it("auto-retries Anthropic stream-envelope failures before message_start", async () => {
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const model = getBundledModel("anthropic", "claude-sonnet-4-5");
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if (!model) {
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throw new Error("Expected bundled Anthropic test model to exist");
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}
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const envelopeError = "Anthropic stream envelope error: received content_block_start before message_start";
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const requestedModels: string[] = [];
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const mock = createMockModel({
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responses: [{ throw: envelopeError }, { content: ["Recovered after Anthropic envelope retry"] }],
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});
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const agent = new Agent({
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getApiKey: provider => `${provider}-test-key`,
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initialState: {
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model,
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systemPrompt: ["Test"],
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tools: [],
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messages: [],
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},
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streamFn: (requestedModel, context, options) => {
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requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
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return mock.stream(requestedModel, context, options);
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},
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});
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const settings = Settings.isolated({
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"compaction.enabled": false,
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"retry.baseDelayMs": 5,
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"retry.maxRetries": 1,
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});
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settings.setModelRole("default", `${model.provider}/${model.id}`);
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session = new AgentSession({
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agent,
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sessionManager: SessionManager.inMemory(),
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settings,
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modelRegistry,
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});
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const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
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await session.prompt("Retry Anthropic envelope failure before message_start");
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await session.waitForIdle();
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expect(requestedModels).toEqual([`${model.provider}/${model.id}`, `${model.provider}/${model.id}`]);
|
|
expect(retryStartEvents).toHaveLength(1);
|
|
expect(retryStartEvents[0]).toMatchObject({
|
|
attempt: 1,
|
|
maxAttempts: 1,
|
|
errorMessage: envelopeError,
|
|
});
|
|
expect(retryEndEvents).toHaveLength(1);
|
|
expect(retryEndEvents[0]).toMatchObject({ success: true, attempt: 1 });
|
|
const lastAssistant = getLastAssistantMessage(session);
|
|
expect(lastAssistant.stopReason).toBe("stop");
|
|
expect(lastAssistant.content).toContainEqual({ type: "text", text: "Recovered after Anthropic envelope retry" });
|
|
});
|
|
|
|
it("does not auto-retry Anthropic stream-envelope failures before terminal stop signal", async () => {
|
|
const primaryModel = getBundledModel("anthropic", "claude-sonnet-4-5");
|
|
const fallbackModel = getBundledModel("openai", "gpt-4o-mini");
|
|
if (!primaryModel || !fallbackModel) {
|
|
throw new Error("Expected bundled test models to exist");
|
|
}
|
|
|
|
const envelopeError = "Anthropic stream envelope error: received content_block_delta before terminal stop signal";
|
|
const requestedModels: string[] = [];
|
|
const fallbackAppliedEvents: Array<Extract<AgentSessionEvent, { type: "retry_fallback_applied" }>> = [];
|
|
const fallbackSucceededEvents: Array<Extract<AgentSessionEvent, { type: "retry_fallback_succeeded" }>> = [];
|
|
|
|
const mock = createMockModel({ handler: () => ({ throw: envelopeError }) });
|
|
const agent = new Agent({
|
|
getApiKey: provider => `${provider}-test-key`,
|
|
initialState: {
|
|
model: primaryModel,
|
|
systemPrompt: ["Test"],
|
|
tools: [],
|
|
messages: [],
|
|
},
|
|
streamFn: (requestedModel, context, options) => {
|
|
requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
|
|
return mock.stream(requestedModel, context, options);
|
|
},
|
|
});
|
|
|
|
const settings = Settings.isolated({
|
|
"compaction.enabled": false,
|
|
"retry.baseDelayMs": 5,
|
|
"retry.maxRetries": 1,
|
|
"retry.fallbackChains": {
|
|
default: [`${fallbackModel.provider}/${fallbackModel.id}`],
|
|
},
|
|
});
|
|
settings.setModelRole("default", `${primaryModel.provider}/${primaryModel.id}`);
|
|
|
|
session = new AgentSession({
|
|
agent,
|
|
sessionManager: SessionManager.inMemory(),
|
|
settings,
|
|
modelRegistry,
|
|
});
|
|
const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
|
|
session.subscribe(event => {
|
|
if (event.type === "retry_fallback_applied") {
|
|
fallbackAppliedEvents.push(event);
|
|
}
|
|
if (event.type === "retry_fallback_succeeded") {
|
|
fallbackSucceededEvents.push(event);
|
|
}
|
|
});
|
|
|
|
await session.prompt("Do not retry Anthropic envelope failure before terminal stop signal");
|
|
await session.waitForIdle();
|
|
|
|
expect(requestedModels).toEqual([`${primaryModel.provider}/${primaryModel.id}`]);
|
|
expect(retryStartEvents).toHaveLength(0);
|
|
expect(retryEndEvents).toHaveLength(0);
|
|
expect(fallbackAppliedEvents).toHaveLength(0);
|
|
expect(fallbackSucceededEvents).toHaveLength(0);
|
|
const lastAssistant = getLastAssistantMessage(session);
|
|
expect(lastAssistant.stopReason).toBe("error");
|
|
expect(lastAssistant.errorMessage).toBe(envelopeError);
|
|
});
|
|
|
|
it("does not auto-retry generic Request was aborted. errors", async () => {
|
|
const model = getBundledModel("openai", "gpt-4o-mini");
|
|
if (!model) {
|
|
throw new Error("Expected bundled OpenAI test model to exist");
|
|
}
|
|
|
|
const requestedModels: string[] = [];
|
|
const mock = createMockModel({ handler: () => ({ throw: "Request was aborted." }) });
|
|
const agent = new Agent({
|
|
getApiKey: provider => `${provider}-test-key`,
|
|
initialState: {
|
|
model,
|
|
systemPrompt: ["Test"],
|
|
tools: [],
|
|
messages: [],
|
|
},
|
|
streamFn: (requestedModel, context, options) => {
|
|
requestedModels.push(`${requestedModel.provider}/${requestedModel.id}`);
|
|
return mock.stream(requestedModel, context, options);
|
|
},
|
|
});
|
|
|
|
const settings = Settings.isolated({
|
|
"compaction.enabled": false,
|
|
"retry.baseDelayMs": 5,
|
|
"retry.maxRetries": 1,
|
|
});
|
|
settings.setModelRole("default", `${model.provider}/${model.id}`);
|
|
|
|
session = new AgentSession({
|
|
agent,
|
|
sessionManager: SessionManager.inMemory(),
|
|
settings,
|
|
modelRegistry,
|
|
});
|
|
const { retryStartEvents, retryEndEvents } = trackRetryEvents(session);
|
|
|
|
await session.prompt("Do not retry generic abort text");
|
|
await session.waitForIdle();
|
|
|
|
expect(requestedModels).toEqual([`${model.provider}/${model.id}`]);
|
|
expect(retryStartEvents).toHaveLength(0);
|
|
expect(retryEndEvents).toHaveLength(0);
|
|
const lastAssistant = getLastAssistantMessage(session);
|
|
expect(lastAssistant.stopReason).toBe("error");
|
|
expect(lastAssistant.errorMessage).toBe("Request was aborted.");
|
|
});
|
|
|
|
it("suppresses cooled selectors and lazily reverts to the role primary after cooldown expiry", async () => {
|
|
const primaryModel = getBundledModel("anthropic", "claude-sonnet-4-5");
|
|
const fallbackModel = getBundledModel("openai", "gpt-4o-mini");
|
|
if (!primaryModel || !fallbackModel) {
|
|
throw new Error("Expected bundled test models to exist");
|
|
}
|
|
|
|
const requestedModels: string[] = [];
|
|
const agent = createFallbackAgent(primaryModel, requestedModels);
|
|
|
|
const settings = Settings.isolated({
|
|
"compaction.enabled": false,
|
|
"retry.baseDelayMs": 5,
|
|
"retry.fallbackChains": {
|
|
default: [`${fallbackModel.provider}/${fallbackModel.id}`],
|
|
},
|
|
"retry.fallbackRevertPolicy": "cooldown-expiry",
|
|
});
|
|
settings.setModelRole("default", `${primaryModel.provider}/${primaryModel.id}`);
|
|
|
|
session = new AgentSession({
|
|
agent,
|
|
sessionManager: SessionManager.inMemory(),
|
|
settings,
|
|
modelRegistry,
|
|
});
|
|
let now = Date.now();
|
|
vi.spyOn(Date, "now").mockImplementation(() => now);
|
|
|
|
await session.prompt("First prompt triggers fallback");
|
|
await session.waitForIdle();
|
|
expect(requestedModels).toEqual([
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
]);
|
|
expect(session.model?.provider).toBe(fallbackModel.provider);
|
|
expect(session.model?.id).toBe(fallbackModel.id);
|
|
|
|
await session.prompt("Immediate second prompt should stay on fallback");
|
|
await session.waitForIdle();
|
|
expect(requestedModels).toEqual([
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
]);
|
|
expect(session.model?.provider).toBe(fallbackModel.provider);
|
|
expect(session.model?.id).toBe(fallbackModel.id);
|
|
|
|
now += 240;
|
|
await session.prompt("Third prompt should lazily revert to primary");
|
|
await session.waitForIdle();
|
|
expect(requestedModels).toEqual([
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
]);
|
|
expect(session.model?.provider).toBe(primaryModel.provider);
|
|
expect(session.model?.id).toBe(primaryModel.id);
|
|
});
|
|
|
|
it("preserves thinking on bare fallback selectors and does not overwrite user thinking on restore", async () => {
|
|
const primaryModel = getBundledModel("anthropic", "claude-sonnet-4-5");
|
|
const fallbackModel = getBundledModel("openai", "gpt-4o-mini");
|
|
if (!primaryModel || !fallbackModel) {
|
|
throw new Error("Expected bundled test models to exist");
|
|
}
|
|
|
|
const requestedModels: string[] = [];
|
|
const agent = createFallbackAgent(primaryModel, requestedModels);
|
|
|
|
const settings = Settings.isolated({
|
|
"compaction.enabled": false,
|
|
"retry.baseDelayMs": 5,
|
|
"retry.fallbackChains": {
|
|
default: [`${fallbackModel.provider}/${fallbackModel.id}`],
|
|
},
|
|
"retry.fallbackRevertPolicy": "cooldown-expiry",
|
|
});
|
|
settings.setModelRole("default", `${primaryModel.provider}/${primaryModel.id}:high`);
|
|
|
|
session = new AgentSession({
|
|
agent,
|
|
sessionManager: SessionManager.inMemory(),
|
|
settings,
|
|
modelRegistry,
|
|
thinkingLevel: Effort.High,
|
|
});
|
|
let now = Date.now();
|
|
vi.spyOn(Date, "now").mockImplementation(() => now);
|
|
|
|
await session.prompt("First prompt triggers bare-selector fallback");
|
|
await session.waitForIdle();
|
|
expect(requestedModels).toEqual([
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
]);
|
|
expect(session.model?.provider).toBe(fallbackModel.provider);
|
|
expect(session.model?.id).toBe(fallbackModel.id);
|
|
expect(session.thinkingLevel).toBeUndefined();
|
|
|
|
session.setThinkingLevel(Effort.Low);
|
|
now += 240;
|
|
await session.prompt("Second prompt should restore model but preserve user thinking change");
|
|
await session.waitForIdle();
|
|
expect(requestedModels).toEqual([
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
`${fallbackModel.provider}/${fallbackModel.id}`,
|
|
`${primaryModel.provider}/${primaryModel.id}`,
|
|
]);
|
|
expect(session.model?.provider).toBe(primaryModel.provider);
|
|
expect(session.model?.id).toBe(primaryModel.id);
|
|
expect(session.thinkingLevel).toBeUndefined();
|
|
});
|
|
|
|
it("accepts cached Ollama Cloud fallback selectors during startup validation", () => {
|
|
const primaryModel = getBundledModel("openai", "gpt-4o-mini");
|
|
if (!primaryModel) {
|
|
throw new Error("Expected bundled OpenAI test model to exist");
|
|
}
|
|
const cachedModel: Model<"ollama-chat"> = {
|
|
id: "deepseek-v4-pro",
|
|
name: "DeepSeek V4 Pro",
|
|
api: "ollama-chat",
|
|
provider: "ollama-cloud",
|
|
baseUrl: "https://ollama.com",
|
|
reasoning: true,
|
|
input: ["text"],
|
|
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
|
|
contextWindow: 1_000_000,
|
|
maxTokens: 384_000,
|
|
};
|
|
writeModelCache("ollama-cloud", Date.now(), [cachedModel], true, "", path.join(tempDir.path(), "models.db"));
|
|
modelRegistry = new ModelRegistry(authStorage, path.join(tempDir.path(), "models.json"));
|
|
|
|
const settings = Settings.isolated({
|
|
"compaction.enabled": false,
|
|
"retry.fallbackChains": { default: ["ollama-cloud/deepseek-v4-pro"] },
|
|
});
|
|
settings.setModelRole("default", `${primaryModel.provider}/${primaryModel.id}`);
|
|
const agent = new Agent({
|
|
getApiKey: provider => `${provider}-test-key`,
|
|
initialState: { model: primaryModel, systemPrompt: ["Test"], tools: [], messages: [] },
|
|
streamFn: () => {
|
|
throw new Error("Not exercised");
|
|
},
|
|
});
|
|
|
|
session = new AgentSession({
|
|
agent,
|
|
sessionManager: SessionManager.inMemory(),
|
|
settings,
|
|
modelRegistry,
|
|
});
|
|
|
|
expect(session.configWarnings).not.toContain(
|
|
"Fallback chain for role 'default' references unknown model: ollama-cloud/deepseek-v4-pro",
|
|
);
|
|
});
|
|
|
|
it("normalizes suppression by base selector and clears it on model refresh", async () => {
|
|
const future = Date.now() + 60_000;
|
|
modelRegistry.suppressSelector("openai/gpt-4o:high", future);
|
|
expect(modelRegistry.isSelectorSuppressed("openai/gpt-4o")).toBe(true);
|
|
expect(modelRegistry.isSelectorSuppressed("openai/gpt-4o:low")).toBe(true);
|
|
|
|
await modelRegistry.refresh("offline");
|
|
expect(modelRegistry.isSelectorSuppressed("openai/gpt-4o")).toBe(false);
|
|
});
|
|
});
|