mirror of
https://github.com/getcompanion-ai/co-mono.git
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166 lines
4.9 KiB
TypeScript
166 lines
4.9 KiB
TypeScript
import { Type } from "@sinclair/typebox";
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import { describe, expect, it } from "vitest";
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import { agentLoop } from "../src/agent/agent-loop.js";
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import type { AgentContext, AgentEvent, AgentLoopConfig, AgentTool, QueuedMessage } from "../src/agent/types.js";
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import type { AssistantMessage, Message, Model, UserMessage } from "../src/types.js";
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import { AssistantMessageEventStream } from "../src/utils/event-stream.js";
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function createUsage() {
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return {
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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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}
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function createModel(): Model<"openai-responses"> {
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return {
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id: "mock",
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name: "mock",
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api: "openai-responses",
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provider: "openai",
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baseUrl: "https://example.invalid",
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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: 8192,
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maxTokens: 2048,
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};
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}
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describe("agentLoop queued message interrupt", () => {
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it("injects queued messages after a tool call and skips remaining tool calls", async () => {
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const toolSchema = Type.Object({ value: Type.String() });
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const executed: string[] = [];
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const tool: AgentTool<typeof toolSchema, { value: string }> = {
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name: "echo",
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label: "Echo",
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description: "Echo tool",
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parameters: toolSchema,
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async execute(_toolCallId, params) {
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executed.push(params.value);
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return {
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content: [{ type: "text", text: `ok:${params.value}` }],
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details: { value: params.value },
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};
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},
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};
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const context: AgentContext = {
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systemPrompt: "",
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messages: [],
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tools: [tool],
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};
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const userPrompt: UserMessage = {
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role: "user",
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content: "start",
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timestamp: Date.now(),
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};
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const queuedUserMessage: Message = {
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role: "user",
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content: "interrupt",
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timestamp: Date.now(),
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};
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const queuedMessages: QueuedMessage<Message>[] = [{ original: queuedUserMessage, llm: queuedUserMessage }];
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let queuedDelivered = false;
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let sawInterruptInContext = false;
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let callIndex = 0;
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const streamFn = () => {
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const stream = new AssistantMessageEventStream();
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queueMicrotask(() => {
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if (callIndex === 0) {
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const message: AssistantMessage = {
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role: "assistant",
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content: [
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{ type: "toolCall", id: "tool-1", name: "echo", arguments: { value: "first" } },
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{ type: "toolCall", id: "tool-2", name: "echo", arguments: { value: "second" } },
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],
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api: "openai-responses",
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provider: "openai",
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model: "mock",
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usage: createUsage(),
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stopReason: "toolUse",
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timestamp: Date.now(),
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};
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stream.push({ type: "done", reason: "toolUse", message });
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} else {
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const message: AssistantMessage = {
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role: "assistant",
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content: [{ type: "text", text: "done" }],
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api: "openai-responses",
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provider: "openai",
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model: "mock",
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usage: createUsage(),
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stopReason: "stop",
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timestamp: Date.now(),
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};
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stream.push({ type: "done", reason: "stop", message });
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}
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callIndex += 1;
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});
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return stream;
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};
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const getQueuedMessages: AgentLoopConfig["getQueuedMessages"] = async <T>() => {
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if (executed.length === 1 && !queuedDelivered) {
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queuedDelivered = true;
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return queuedMessages as QueuedMessage<T>[];
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}
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return [];
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};
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const config: AgentLoopConfig = {
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model: createModel(),
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getQueuedMessages,
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};
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const events: AgentEvent[] = [];
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const stream = agentLoop(userPrompt, context, config, undefined, (_model, ctx, _options) => {
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if (callIndex === 1) {
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sawInterruptInContext = ctx.messages.some(
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(m) => m.role === "user" && typeof m.content === "string" && m.content === "interrupt",
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);
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}
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return streamFn();
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});
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for await (const event of stream) {
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events.push(event);
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}
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expect(executed).toEqual(["first"]);
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const toolEnds = events.filter(
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(event): event is Extract<AgentEvent, { type: "tool_execution_end" }> => event.type === "tool_execution_end",
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);
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expect(toolEnds.length).toBe(2);
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expect(toolEnds[1].isError).toBe(true);
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expect(toolEnds[1].result.content[0]?.type).toBe("text");
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if (toolEnds[1].result.content[0]?.type === "text") {
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expect(toolEnds[1].result.content[0].text).toContain("Skipped due to queued user message");
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}
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const firstTurnEndIndex = events.findIndex((event) => event.type === "turn_end");
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const queuedMessageIndex = events.findIndex(
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(event) =>
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event.type === "message_start" &&
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event.message.role === "user" &&
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typeof event.message.content === "string" &&
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event.message.content === "interrupt",
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);
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const nextAssistantIndex = events.findIndex(
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(event, index) =>
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index > queuedMessageIndex && event.type === "message_start" && event.message.role === "assistant",
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);
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expect(queuedMessageIndex).toBeGreaterThan(firstTurnEndIndex);
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expect(queuedMessageIndex).toBeLessThan(nextAssistantIndex);
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expect(sawInterruptInContext).toBe(true);
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});
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});
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