mirror of
https://github.com/luckyyzh/pi-agent-integrated.git
synced 2026-10-03 11:09:34 +00:00
feat: integrate Pi backend and Pi Web
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@@ -0,0 +1,79 @@
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import { beforeEach, describe, expect, it, vi } from "vitest";
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import { stream as streamOpenAICompletions } from "../src/api/openai-completions.ts";
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import type { Context, Model } from "../src/types.ts";
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const mockState = vi.hoisted(() => ({
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chunks: [] as unknown[],
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}));
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vi.mock("openai", () => {
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class FakeOpenAI {
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chat = {
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completions: {
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create: () => {
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const chunks = mockState.chunks;
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const stream = {
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async *[Symbol.asyncIterator]() {
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for (const chunk of chunks) yield chunk;
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},
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};
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const promise = Promise.resolve(stream) as Promise<typeof stream> & {
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withResponse: () => Promise<{
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data: typeof stream;
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response: { status: number; headers: Headers };
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}>;
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};
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promise.withResponse = async () => ({
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data: stream,
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response: { status: 200, headers: new Headers() },
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});
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return promise;
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},
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},
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};
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}
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return { default: FakeOpenAI };
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});
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const model: Model<"openai-completions"> = {
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id: "test-model",
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name: "Test Model",
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api: "openai-completions",
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provider: "openai",
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baseUrl: "https://api.openai.com/v1",
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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: 128_000,
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maxTokens: 4096,
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};
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const context: Context = {
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messages: [{ role: "user", content: "hello", timestamp: Date.now() }],
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};
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describe("OpenAI completions raw stop reasons", () => {
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beforeEach(() => {
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mockState.chunks = [];
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});
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it("preserves raw finish reasons for successful stops", async () => {
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mockState.chunks = [{ id: "chatcmpl-1", choices: [{ index: 0, delta: {}, finish_reason: "stop" }] }];
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const message = await streamOpenAICompletions(model, context, { apiKey: "test" }).result();
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expect(message.stopReason).toBe("stop");
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expect(message.rawStopReason).toBe("stop");
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expect(message.errorMessage).toBeUndefined();
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});
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it("preserves raw finish reasons for provider error stops", async () => {
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mockState.chunks = [{ id: "chatcmpl-2", choices: [{ index: 0, delta: {}, finish_reason: "content_filter" }] }];
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const message = await streamOpenAICompletions(model, context, { apiKey: "test" }).result();
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expect(message.stopReason).toBe("error");
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expect(message.rawStopReason).toBe("content_filter");
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expect(message.errorMessage).toBe("Provider finish_reason: content_filter");
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});
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});
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