mirror of
https://github.com/luckyyzh/pi-agent-integrated.git
synced 2026-10-03 02:59:35 +00:00
feat: integrate Pi backend and Pi Web
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@@ -0,0 +1,191 @@
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import { describe, expect, it } from "vitest";
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import { transformMessages } from "../src/api/transform-messages.ts";
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import type { AssistantMessage, Message, Model, ToolCall } from "../src/types.ts";
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// Normalize function matching what anthropic.ts uses
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function anthropicNormalizeToolCallId(
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id: string,
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_model: Model<"anthropic-messages">,
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_source: AssistantMessage,
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): string {
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return id.replace(/[^a-zA-Z0-9_-]/g, "_").slice(0, 64);
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}
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function makeCopilotClaudeModel(): Model<"anthropic-messages"> {
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return {
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id: "claude-sonnet-4.6",
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name: "Claude Sonnet 4.6",
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api: "anthropic-messages",
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provider: "github-copilot",
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baseUrl: "https://api.individual.githubcopilot.com",
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reasoning: true,
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input: ["text", "image"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 128000,
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maxTokens: 16000,
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};
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}
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function makeAssistantMessage(content: AssistantMessage["content"]): AssistantMessage {
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return {
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role: "assistant",
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content,
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api: "openai-responses",
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provider: "github-copilot",
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model: "gpt-5",
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usage: {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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},
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stopReason: "toolUse",
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timestamp: Date.now(),
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};
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}
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describe("OpenAI to Anthropic session migration for Copilot Claude", () => {
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it("converts thinking blocks to plain text when source model differs", () => {
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const model = makeCopilotClaudeModel();
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const messages: Message[] = [
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{ role: "user", content: "hello", timestamp: Date.now() },
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{
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role: "assistant",
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content: [
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{
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type: "thinking",
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thinking: "Let me think about this...",
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thinkingSignature: "reasoning_content",
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},
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{ type: "text", text: "Hi there!" },
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],
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api: "openai-completions",
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provider: "github-copilot",
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model: "gpt-4o",
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usage: {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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},
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stopReason: "stop",
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timestamp: Date.now(),
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},
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];
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const result = transformMessages(messages, model, anthropicNormalizeToolCallId);
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const assistantMsg = result.find((m) => m.role === "assistant") as AssistantMessage;
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// Thinking block should be converted to text since models differ
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const textBlocks = assistantMsg.content.filter((b) => b.type === "text");
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const thinkingBlocks = assistantMsg.content.filter((b) => b.type === "thinking");
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expect(thinkingBlocks).toHaveLength(0);
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expect(textBlocks.length).toBeGreaterThanOrEqual(2);
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});
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it("removes thoughtSignature from tool calls when migrating between models", () => {
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const model = makeCopilotClaudeModel();
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const messages: Message[] = [
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{ role: "user", content: "run a command", timestamp: Date.now() },
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{
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role: "assistant",
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content: [
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{
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type: "toolCall",
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id: "call_123",
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name: "bash",
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arguments: { command: "ls" },
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thoughtSignature: JSON.stringify({ type: "reasoning.encrypted", id: "call_123", data: "encrypted" }),
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},
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],
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api: "openai-responses",
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provider: "github-copilot",
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model: "gpt-5",
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usage: {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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},
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stopReason: "toolUse",
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timestamp: Date.now(),
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},
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{
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role: "toolResult",
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toolCallId: "call_123",
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toolName: "bash",
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content: [{ type: "text", text: "output" }],
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isError: false,
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timestamp: Date.now(),
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},
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];
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const result = transformMessages(messages, model, anthropicNormalizeToolCallId);
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const assistantMsg = result.find((m) => m.role === "assistant") as AssistantMessage;
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const toolCall = assistantMsg.content.find((b) => b.type === "toolCall") as ToolCall;
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expect(toolCall.thoughtSignature).toBeUndefined();
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});
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it("adds synthetic tool results for trailing orphaned tool calls", () => {
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const model = makeCopilotClaudeModel();
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const messages: Message[] = [
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{ role: "user", content: "read the file", timestamp: Date.now() },
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makeAssistantMessage([
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{
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type: "toolCall",
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id: "call_123|fc_123",
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name: "read",
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arguments: { path: "README.md" },
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},
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]),
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];
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const result = transformMessages(messages, model, anthropicNormalizeToolCallId);
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const lastMessage = result[result.length - 1];
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expect(lastMessage).toMatchObject({
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role: "toolResult",
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toolCallId: "call_123_fc_123",
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toolName: "read",
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isError: true,
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content: [{ type: "text", text: "No result provided" }],
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});
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});
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it("adds synthetic results only for trailing tool calls that are still missing results", () => {
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const model = makeCopilotClaudeModel();
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const messages: Message[] = [
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{ role: "user", content: "run commands", timestamp: Date.now() },
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makeAssistantMessage([
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{ type: "toolCall", id: "call_1|fc_1", name: "read", arguments: { path: "README.md" } },
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{ type: "toolCall", id: "call_2|fc_2", name: "bash", arguments: { command: "pwd" } },
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]),
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{
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role: "toolResult",
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toolCallId: "call_1|fc_1",
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toolName: "read",
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content: [{ type: "text", text: "done" }],
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isError: false,
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timestamp: Date.now(),
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},
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];
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const result = transformMessages(messages, model, anthropicNormalizeToolCallId);
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const syntheticResults = result.filter((message) => message.role === "toolResult" && message.isError);
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expect(syntheticResults).toHaveLength(1);
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expect(syntheticResults[0]).toMatchObject({
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role: "toolResult",
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toolCallId: "call_2_fc_2",
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toolName: "bash",
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content: [{ type: "text", text: "No result provided" }],
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});
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});
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});
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