Squashed 'third_party/pi/' content from commit d981de122
git-subtree-dir: third_party/pi git-subtree-split: d981de1229ef899957bbe968bc8dcda02a21f477
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128
packages/ai/test/sampling-options.test.ts
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128
packages/ai/test/sampling-options.test.ts
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import { describe, expect, it } from "vitest";
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import { streamSimple } from "../src/compat.ts";
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import type { Api, Context, Model, SimpleStreamOptions } from "../src/types.ts";
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interface SamplingPayload {
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temperature?: number;
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top_p?: number;
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top_k?: number;
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min_p?: number;
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}
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class PayloadCaptured extends Error {
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constructor() {
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super("payload captured");
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this.name = "PayloadCaptured";
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}
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}
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function makeContext(): Context {
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return {
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messages: [{ role: "user", content: "Hello", timestamp: Date.now() }],
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};
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}
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function makeCompletionsModel(overrides?: Partial<Model<"openai-completions">>): Model<"openai-completions"> {
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return {
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id: "custom-model",
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name: "Custom Model",
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api: "openai-completions",
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provider: "custom-provider",
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baseUrl: "http://127.0.0.1:9/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: 128000,
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maxTokens: 16384,
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...overrides,
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};
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}
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function makeAnthropicModel(): Model<"anthropic-messages"> {
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return {
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id: "vendor--claude",
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name: "Vendor Proxy Claude",
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api: "anthropic-messages",
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provider: "vendor-proxy",
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baseUrl: "http://127.0.0.1:9",
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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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contextWindow: 200000,
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maxTokens: 32000,
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};
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}
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async function capturePayload(model: Model<Api>, options?: SimpleStreamOptions): Promise<SamplingPayload> {
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let capturedPayload: SamplingPayload | undefined;
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const s = streamSimple(model, makeContext(), {
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...options,
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apiKey: "fake-key",
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onPayload: (payload) => {
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capturedPayload = payload as SamplingPayload;
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throw new PayloadCaptured();
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},
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});
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await s.result();
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if (!capturedPayload) {
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throw new Error("Expected payload to be captured before request failure");
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}
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return capturedPayload;
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}
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describe("sampling params", () => {
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it("merges stream-option sampling params into the request body", async () => {
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const payload = await capturePayload(makeCompletionsModel(), {
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samplingParams: { top_p: 0.95, top_k: 0, min_p: 0 },
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});
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expect(payload.top_p).toBe(0.95);
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expect(payload.top_k).toBe(0);
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expect(payload.min_p).toBe(0);
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});
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it("omits sampling params when neither options nor model set them", async () => {
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const payload = await capturePayload(makeCompletionsModel());
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expect(payload.temperature).toBeUndefined();
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expect(payload.top_p).toBeUndefined();
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});
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it("applies model-level sampling params", async () => {
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const payload = await capturePayload(makeCompletionsModel({ samplingParams: { temperature: 1, top_p: 0.95 } }));
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expect(payload.temperature).toBe(1);
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expect(payload.top_p).toBe(0.95);
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});
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it("merges stream-option keys over model-level keys", async () => {
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const payload = await capturePayload(makeCompletionsModel({ samplingParams: { top_p: 0.95, min_p: 0.05 } }), {
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samplingParams: { top_p: 0.5 },
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});
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expect(payload.top_p).toBe(0.5);
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expect(payload.min_p).toBe(0.05);
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});
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it("overrides named request fields", async () => {
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const payload = await capturePayload(makeCompletionsModel(), {
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temperature: 0,
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samplingParams: { temperature: 1 },
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});
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expect(payload.temperature).toBe(1);
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});
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it("is ignored by non-OpenAI-compatible APIs", async () => {
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const payload = await capturePayload(makeAnthropicModel(), {
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samplingParams: { top_p: 0.9, top_k: 40 },
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});
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expect(payload.top_p).toBeUndefined();
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expect(payload.top_k).toBeUndefined();
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});
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});
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