mirror of https://github.com/openclaw/openclaw.git
269 lines
8.5 KiB
TypeScript
269 lines
8.5 KiB
TypeScript
/**
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* End-to-end integration tests for OpenAI WebSocket streaming.
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*
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* These tests hit the real OpenAI Responses API over WebSocket and verify
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* the full request/response lifecycle including:
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* - Connection establishment and session reuse
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* - Context options forwarding (temperature)
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* - Graceful fallback to HTTP on connection failure
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* - Connection lifecycle cleanup via releaseWsSession
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*
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* Run manually with a valid OPENAI_API_KEY:
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* OPENAI_API_KEY=sk-... npx vitest run src/agents/openai-ws-stream.e2e.test.ts
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*
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* Skipped in CI — no API key available and we avoid billable external calls.
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*/
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import type {
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AssistantMessage,
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AssistantMessageEvent,
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AssistantMessageEventStream,
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Context,
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} from "@mariozechner/pi-ai";
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
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const API_KEY = process.env.OPENAI_API_KEY;
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const LIVE = !!API_KEY;
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const testFn = LIVE ? it : it.skip;
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type OpenAIWsStreamModule = typeof import("./openai-ws-stream.js");
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type StreamFactory = OpenAIWsStreamModule["createOpenAIWebSocketStreamFn"];
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type StreamReturn = ReturnType<ReturnType<StreamFactory>>;
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let openAIWsStreamModule: OpenAIWsStreamModule;
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const model = {
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api: "openai-responses" as const,
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provider: "openai",
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id: "gpt-5.2",
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name: "gpt-5.2",
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contextWindow: 128_000,
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maxTokens: 4_096,
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reasoning: true,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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} as unknown as Parameters<ReturnType<StreamFactory>>[0];
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type StreamFnParams = Parameters<ReturnType<StreamFactory>>;
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function makeContext(userMessage: string): StreamFnParams[1] {
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return {
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systemPrompt: "You are a helpful assistant. Reply in one sentence.",
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messages: [{ role: "user" as const, content: userMessage }],
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tools: [],
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} as unknown as StreamFnParams[1];
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}
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function makeToolContext(userMessage: string): StreamFnParams[1] {
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return {
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systemPrompt: "You are a precise assistant. Follow tool instructions exactly.",
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messages: [{ role: "user" as const, content: userMessage }],
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tools: [
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{
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name: "noop",
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description: "Return the supplied tool result to the user.",
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parameters: {
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type: "object",
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additionalProperties: false,
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properties: {},
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},
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},
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],
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} as unknown as Context;
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}
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function makeToolResultMessage(
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callId: string,
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output: string,
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): StreamFnParams[1]["messages"][number] {
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return {
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role: "toolResult" as const,
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toolCallId: callId,
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toolName: "noop",
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content: [{ type: "text" as const, text: output }],
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isError: false,
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timestamp: Date.now(),
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} as unknown as StreamFnParams[1]["messages"][number];
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}
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async function collectEvents(stream: StreamReturn): Promise<AssistantMessageEvent[]> {
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const events: AssistantMessageEvent[] = [];
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const resolvedStream: AssistantMessageEventStream = await stream;
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for await (const event of resolvedStream) {
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events.push(event);
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}
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return events;
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}
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function expectDone(events: AssistantMessageEvent[]): AssistantMessage {
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const done = events.find((event) => event.type === "done")?.message;
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expect(done).toBeDefined();
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return done!;
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}
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function assistantText(message: AssistantMessage): string {
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return message.content
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.filter((block) => block.type === "text")
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.map((block) => block.text)
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.join("");
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}
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/** Each test gets a unique session ID to avoid cross-test interference. */
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const sessions: string[] = [];
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function freshSession(name: string): string {
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const id = `e2e-${name}-${Date.now()}`;
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sessions.push(id);
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return id;
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}
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describe("OpenAI WebSocket e2e", () => {
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beforeEach(async () => {
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vi.resetModules();
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vi.doMock("@mariozechner/pi-ai", async (importOriginal) => {
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const actual = await importOriginal<typeof import("@mariozechner/pi-ai")>();
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return {
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...actual,
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createAssistantMessageEventStream: actual.createAssistantMessageEventStream,
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};
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});
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openAIWsStreamModule = await import("./openai-ws-stream.js");
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});
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afterEach(() => {
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for (const id of sessions) {
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openAIWsStreamModule.releaseWsSession(id);
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}
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sessions.length = 0;
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});
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testFn(
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"completes a single-turn request over WebSocket",
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async () => {
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const sid = freshSession("single");
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const streamFn = openAIWsStreamModule.createOpenAIWebSocketStreamFn(API_KEY!, sid);
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const stream = streamFn(model, makeContext("What is 2+2?"), { transport: "websocket" });
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const done = expectDone(await collectEvents(stream));
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expect(done.content.length).toBeGreaterThan(0);
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const text = assistantText(done);
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expect(text).toMatch(/4/);
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},
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45_000,
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);
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testFn(
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"forwards temperature option to the API",
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async () => {
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const sid = freshSession("temp");
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const streamFn = openAIWsStreamModule.createOpenAIWebSocketStreamFn(API_KEY!, sid);
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const stream = streamFn(model, makeContext("Pick a random number between 1 and 1000."), {
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transport: "websocket",
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temperature: 0.8,
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});
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const events = await collectEvents(stream);
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// Stream must complete (done or error with fallback) — must NOT hang.
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const hasTerminal = events.some((e) => e.type === "done" || e.type === "error");
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expect(hasTerminal).toBe(true);
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},
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45_000,
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);
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testFn(
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"reuses the websocket session for tool-call follow-up turns",
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async () => {
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const sid = freshSession("tool-roundtrip");
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const streamFn = openAIWsStreamModule.createOpenAIWebSocketStreamFn(API_KEY!, sid);
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const firstContext = makeToolContext(
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"Call the tool `noop` with {}. After the tool result arrives, reply with exactly the tool output and nothing else.",
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);
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const firstEvents = await collectEvents(
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streamFn(model, firstContext, {
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transport: "websocket",
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toolChoice: "required",
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maxTokens: 128,
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} as unknown as StreamFnParams[2]),
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);
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const firstDone = expectDone(firstEvents);
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const toolCall = firstDone.content.find((block) => block.type === "toolCall") as
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| { type: "toolCall"; id: string; name: string }
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| undefined;
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expect(toolCall?.name).toBe("noop");
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expect(toolCall?.id).toBeTruthy();
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const secondContext = {
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...firstContext,
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messages: [
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...firstContext.messages,
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firstDone,
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makeToolResultMessage(toolCall!.id, "TOOL_OK"),
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],
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} as unknown as StreamFnParams[1];
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const secondDone = expectDone(
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await collectEvents(
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streamFn(model, secondContext, {
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transport: "websocket",
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maxTokens: 128,
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}),
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),
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);
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expect(assistantText(secondDone)).toMatch(/TOOL_OK/);
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},
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60_000,
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);
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testFn(
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"supports websocket warm-up before the first request",
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async () => {
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const sid = freshSession("warmup");
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const streamFn = openAIWsStreamModule.createOpenAIWebSocketStreamFn(API_KEY!, sid);
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const events = await collectEvents(
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streamFn(model, makeContext("Reply with the word warmed."), {
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transport: "websocket",
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openaiWsWarmup: true,
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maxTokens: 32,
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} as unknown as StreamFnParams[2]),
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);
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const hasTerminal = events.some((event) => event.type === "done" || event.type === "error");
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expect(hasTerminal).toBe(true);
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const done = events.find((event) => event.type === "done")?.message;
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if (done) {
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expect(assistantText(done).toLowerCase()).toContain("warmed");
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}
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},
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45_000,
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);
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testFn(
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"session is tracked in registry during request",
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async () => {
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const sid = freshSession("registry");
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const streamFn = openAIWsStreamModule.createOpenAIWebSocketStreamFn(API_KEY!, sid);
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expect(openAIWsStreamModule.hasWsSession(sid)).toBe(false);
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await collectEvents(streamFn(model, makeContext("Say hello."), { transport: "websocket" }));
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expect(openAIWsStreamModule.hasWsSession(sid)).toBe(true);
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openAIWsStreamModule.releaseWsSession(sid);
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expect(openAIWsStreamModule.hasWsSession(sid)).toBe(false);
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},
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45_000,
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);
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testFn(
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"falls back to HTTP gracefully with invalid API key",
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async () => {
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const sid = freshSession("fallback");
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const streamFn = openAIWsStreamModule.createOpenAIWebSocketStreamFn("sk-invalid-key", sid);
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const stream = streamFn(model, makeContext("Hello"), {});
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const events = await collectEvents(stream);
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const hasTerminal = events.some((e) => e.type === "done" || e.type === "error");
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expect(hasTerminal).toBe(true);
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},
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45_000,
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);
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});
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