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This change makes system prompt text and tool changes part of the transcript rather than silently rewriting its starting conditions. This lets Pi record when instructions changed or tools became available, restore that state after resuming or navigating branches, and preserve cached prompt prefixes where the upstream supports it.
124 lines
4.3 KiB
TypeScript
124 lines
4.3 KiB
TypeScript
import { describe, expect, it, vi } from "vitest";
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import { stream as streamAnthropic } from "../src/api/anthropic-messages.ts";
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import { getModel, normalizeContext } from "../src/compat.ts";
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import { getSupportedThinkingLevels } from "../src/models.ts";
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const mockState = vi.hoisted(() => ({
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constructorOpts: undefined as Record<string, unknown> | undefined,
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createParams: undefined as Record<string, unknown> | undefined,
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}));
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vi.mock("@anthropic-ai/sdk", () => {
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function createSseResponse(): Response {
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const body = [
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`event: message_start\ndata: ${JSON.stringify({
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type: "message_start",
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message: {
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id: "msg_test",
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usage: { input_tokens: 10, output_tokens: 0 },
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},
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})}\n`,
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`event: message_delta\ndata: ${JSON.stringify({
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type: "message_delta",
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delta: { stop_reason: "end_turn" },
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usage: { output_tokens: 5 },
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})}\n`,
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].join("\n");
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return new Response(body, {
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status: 200,
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headers: { "content-type": "text/event-stream" },
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});
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}
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class FakeAnthropic {
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constructor(opts: Record<string, unknown>) {
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mockState.constructorOpts = opts;
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}
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beta = {
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messages: {
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create: (params: Record<string, unknown>) => {
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mockState.createParams = params;
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return {
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asResponse: async () => createSseResponse(),
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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 { default: FakeAnthropic };
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});
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describe("Copilot Claude via Anthropic Messages", () => {
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const context = normalizeContext({
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systemPrompt: "You are a helpful assistant.",
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messages: [{ role: "user", content: "Hello", timestamp: Date.now() }],
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});
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it("applies Copilot-specific adaptive thinking effort overrides", () => {
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const opus47 = getModel("github-copilot", "claude-opus-4.7");
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expect(opus47.thinkingLevelMap).toMatchObject({ minimal: "low", xhigh: "xhigh", max: "max" });
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expect(getSupportedThinkingLevels(opus47)).toContain("xhigh");
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expect(getSupportedThinkingLevels(opus47)).toContain("max");
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const opus5 = getModel("github-copilot", "claude-opus-5");
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expect(opus5.api).toBe("anthropic-messages");
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expect(opus5.contextWindow).toBe(1000000);
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expect(opus5.thinkingLevelMap).toMatchObject({ minimal: "low", xhigh: "xhigh", max: "max" });
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expect(getSupportedThinkingLevels(opus5)).toContain("xhigh");
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expect(getSupportedThinkingLevels(opus5)).toContain("max");
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const sonnet46 = getModel("github-copilot", "claude-sonnet-4.6");
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expect(sonnet46.thinkingLevelMap).toMatchObject({ minimal: "low", max: "max" });
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expect(getSupportedThinkingLevels(sonnet46)).toContain("max");
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expect(getSupportedThinkingLevels(sonnet46)).not.toContain("xhigh");
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});
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it("uses Bearer auth, Copilot headers, and valid Anthropic Messages payload", async () => {
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const model = getModel("github-copilot", "claude-sonnet-4.6");
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expect(model.api).toBe("anthropic-messages");
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const s = streamAnthropic(model, context, { apiKey: "tid_copilot_session_test_token" });
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for await (const event of s) {
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if (event.type === "error") break;
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}
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const opts = mockState.constructorOpts!;
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expect(opts).toBeDefined();
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// Auth: apiKey null, authToken for Bearer
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expect(opts.apiKey).toBeNull();
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expect(opts.authToken).toBe("tid_copilot_session_test_token");
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const headers = opts.defaultHeaders as Record<string, string>;
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// Copilot static headers from model.headers
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expect(headers["User-Agent"]).toContain("GitHubCopilotChat");
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expect(headers["Copilot-Integration-Id"]).toBe("vscode-chat");
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// Dynamic headers
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expect(headers["X-Initiator"]).toBe("user");
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expect(headers["Openai-Intent"]).toBe("conversation-edits");
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// Payload is valid Anthropic Messages format
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const params = mockState.createParams!;
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expect(params.betas ?? []).not.toContain("fine-grained-tool-streaming-2025-05-14");
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expect(params.model).toBe("claude-sonnet-4.6");
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expect(params.stream).toBe(true);
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expect(params.max_tokens).toBe(model.maxTokens);
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expect(Array.isArray(params.messages)).toBe(true);
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});
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it("omits interleaved-thinking beta for adaptive-thinking models", async () => {
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const model = getModel("github-copilot", "claude-sonnet-4.6");
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const s = streamAnthropic(model, context, {
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apiKey: "tid_copilot_session_test_token",
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interleavedThinking: true,
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});
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for await (const event of s) {
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if (event.type === "error") break;
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}
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expect(mockState.createParams?.betas ?? []).not.toContain("interleaved-thinking-2025-05-14");
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});
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});
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