Imported as a linear vendor commit so forge rebases do not replay the upstream root tree. git-subtree-dir: third_party/pi git-subtree-split: d981de1229ef899957bbe968bc8dcda02a21f477
195 lines
5.7 KiB
TypeScript
195 lines
5.7 KiB
TypeScript
import { arch, platform, release } from "node:os";
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import { describe, expect, it, vi } from "vitest";
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const googleGenAiMock = vi.hoisted(() => ({
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constructorCalls: [] as Array<Record<string, unknown>>,
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finishReason: "MALFORMED_FUNCTION_CALL",
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includeFunctionCall: false,
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}));
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vi.mock("@google/genai", () => {
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class GoogleGenAI {
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constructor(config: Record<string, unknown>) {
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googleGenAiMock.constructorCalls.push(config);
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}
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models = {
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generateContentStream: async function* () {
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yield {
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responseId: "google-response-id",
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candidates: [
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{
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finishReason: googleGenAiMock.finishReason,
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...(googleGenAiMock.includeFunctionCall && {
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content: {
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parts: [
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{
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functionCall: {
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id: "call-1",
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name: "echo",
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args: { value: "truncated" },
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},
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},
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],
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},
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}),
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},
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],
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usageMetadata: {
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promptTokenCount: 1,
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candidatesTokenCount: 0,
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totalTokenCount: 1,
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},
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};
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},
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};
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}
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return {
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FinishReason: {
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STOP: "STOP",
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MAX_TOKENS: "MAX_TOKENS",
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BLOCKLIST: "BLOCKLIST",
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PROHIBITED_CONTENT: "PROHIBITED_CONTENT",
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SPII: "SPII",
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SAFETY: "SAFETY",
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IMAGE_SAFETY: "IMAGE_SAFETY",
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IMAGE_PROHIBITED_CONTENT: "IMAGE_PROHIBITED_CONTENT",
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IMAGE_RECITATION: "IMAGE_RECITATION",
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IMAGE_OTHER: "IMAGE_OTHER",
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RECITATION: "RECITATION",
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FINISH_REASON_UNSPECIFIED: "FINISH_REASON_UNSPECIFIED",
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OTHER: "OTHER",
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LANGUAGE: "LANGUAGE",
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MALFORMED_FUNCTION_CALL: "MALFORMED_FUNCTION_CALL",
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UNEXPECTED_TOOL_CALL: "UNEXPECTED_TOOL_CALL",
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NO_IMAGE: "NO_IMAGE",
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},
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FunctionCallingConfigMode: {
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AUTO: "AUTO",
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NONE: "NONE",
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ANY: "ANY",
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VALIDATED: "VALIDATED",
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},
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GoogleGenAI,
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ResourceScope: {
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COLLECTION: "COLLECTION",
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},
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ThinkingLevel: {
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THINKING_LEVEL_UNSPECIFIED: "THINKING_LEVEL_UNSPECIFIED",
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MINIMAL: "MINIMAL",
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LOW: "LOW",
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MEDIUM: "MEDIUM",
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HIGH: "HIGH",
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},
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};
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});
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import { stream as streamGoogleGenerativeAi } from "../src/api/google-generative-ai.ts";
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import { stream as streamGoogleVertex } from "../src/api/google-vertex.ts";
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import { getModel } from "../src/compat.ts";
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import type { Context } from "../src/types.ts";
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const PI_USER_AGENT = `pi (${platform()} ${release()}; ${arch()})`;
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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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async function captureGoogleHeaders(headers?: Record<string, string>): Promise<Record<string, string>> {
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googleGenAiMock.constructorCalls.length = 0;
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googleGenAiMock.finishReason = "STOP";
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googleGenAiMock.includeFunctionCall = false;
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await streamGoogleGenerativeAi(getModel("google", "gemini-2.5-flash"), context, {
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apiKey: "test-api-key",
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headers,
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}).result();
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expect(googleGenAiMock.constructorCalls).toHaveLength(1);
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const httpOptions = googleGenAiMock.constructorCalls[0].httpOptions as { headers?: Record<string, string> };
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return httpOptions.headers ?? {};
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}
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describe("Google raw stop reasons", () => {
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it("preserves raw Gemini finish reasons for Google Generative AI errors", async () => {
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googleGenAiMock.finishReason = "MALFORMED_FUNCTION_CALL";
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googleGenAiMock.includeFunctionCall = false;
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const stream = streamGoogleGenerativeAi(getModel("google", "gemini-2.5-flash"), context, {
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apiKey: "test-api-key",
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});
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const message = await stream.result();
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expect(message.stopReason).toBe("error");
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expect(message.rawStopReason).toBe("MALFORMED_FUNCTION_CALL");
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expect(message.errorMessage).toBe("Provider stopped with: MALFORMED_FUNCTION_CALL");
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});
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it("preserves raw Gemini finish reasons for Google Vertex errors", async () => {
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googleGenAiMock.finishReason = "SAFETY";
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googleGenAiMock.includeFunctionCall = false;
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const stream = streamGoogleVertex(getModel("google-vertex", "gemini-3-flash-preview"), context, {
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project: "test-project",
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location: "us-central1",
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});
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const message = await stream.result();
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expect(message.stopReason).toBe("error");
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expect(message.rawStopReason).toBe("SAFETY");
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expect(message.errorMessage).toBe("Provider stopped with: SAFETY");
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});
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const adapters = [
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{
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name: "Google Generative AI",
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createStream: () =>
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streamGoogleGenerativeAi(getModel("google", "gemini-2.5-flash"), context, {
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apiKey: "test-api-key",
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}),
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},
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{
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name: "Google Vertex",
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createStream: () =>
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streamGoogleVertex(getModel("google-vertex", "gemini-3-flash-preview"), context, {
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project: "test-project",
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location: "us-central1",
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}),
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},
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];
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it.each(adapters)("preserves MAX_TOKENS with a tool call as length for $name", async ({ createStream }) => {
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googleGenAiMock.finishReason = "MAX_TOKENS";
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googleGenAiMock.includeFunctionCall = true;
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const message = await createStream().result();
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expect(message.stopReason).toBe("length");
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expect(message.rawStopReason).toBe("MAX_TOKENS");
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expect(message.content.some((block) => block.type === "toolCall")).toBe(true);
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});
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it.each(adapters)("maps STOP with a tool call to toolUse for $name", async ({ createStream }) => {
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googleGenAiMock.finishReason = "STOP";
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googleGenAiMock.includeFunctionCall = true;
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const message = await createStream().result();
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expect(message.stopReason).toBe("toolUse");
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expect(message.rawStopReason).toBe("STOP");
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expect(message.content.some((block) => block.type === "toolCall")).toBe(true);
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});
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});
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describe("Google Generative AI user agent", () => {
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it("uses pi's User-Agent by default", async () => {
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expect((await captureGoogleHeaders())["User-Agent"]).toBe(PI_USER_AGENT);
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});
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it("lets explicit headers override the default User-Agent", async () => {
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expect((await captureGoogleHeaders({ "User-Agent": "custom-agent" }))["User-Agent"]).toBe("custom-agent");
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});
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});
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