forked from bai/curriculum-project-hub
hongjr03
a2c8fa8eaf
将 provider/runner/tools 三件手搓轮子替换为 AI SDK v7 的 generateText + tool:
- 删 openrouter-provider.ts(翻译层消失)、provider.ts 自定义消息类型
- runner.ts 循环体改为 generateText({stopWhen: stepCountIs}),保留 RunRequest/RunResult 公共签名
- tools.ts ToolRegistry 改为 ToolFactory + build(ctx, names?) 按 role 白名单构建 tools record
- workspace/cph/feishu 工具改写为 tool() 定义,execute 闭包捕获 per-run ToolContext
- transcript.ts 改为 ModelMessage[] JSONL(0.0.0 cutover,无迁移)
- server.ts/trigger.ts 接 modelFactory + toolWhitelist
- 测试:helpers 写 MockLanguageModel implements LanguageModelV4;5 个测试改写 + 新增 runner.test.ts
- 移除未使用的 openai 依赖
- ADR-0017 Consequences 同步:loop 委托给 AI SDK,provider seam 是 LanguageModel
tsc 干净,54 tests 全过。
40 lines
1.5 KiB
TypeScript
40 lines
1.5 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { mkdtemp, rm, writeFile } from "node:fs/promises";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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import { runAgent } from "../../src/agent/runner.js";
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import { ToolRegistry } from "../../src/agent/tools.js";
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import { readFileTool } from "../../src/agent/workspace.js";
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import { createMockModelFactory } from "../integration/helpers.js";
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describe("runAgent with AI SDK tool loop", () => {
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it("executes SDK tools and returns the final assistant response", async () => {
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const ws = await mkdtemp(join(tmpdir(), "hub-runner-"));
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try {
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await writeFile(join(ws, "lesson.txt"), "hello lesson", "utf8");
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const tools = new ToolRegistry();
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tools.register("read_file", readFileTool);
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const { modelFactory, models } = createMockModelFactory([
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{
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toolCalls: [{ toolCallId: "call-1", toolName: "read_file", input: { path: "lesson.txt" } }],
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},
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{ text: "done", finishReason: "stop" },
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]);
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const result = await runAgent(modelFactory, tools, {
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prompt: "read lesson.txt",
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model: "mock-model",
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project: { projectId: "p", boundChatId: "c", workspaceDir: ws },
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systemPrompt: "system",
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maxIterations: 5,
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});
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expect(result.status).toBe("completed");
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expect(result.messages.at(-1)).toMatchObject({ role: "assistant" });
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expect(models.get("mock-model")?.calls).toHaveLength(2);
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} finally {
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await rm(ws, { recursive: true, force: true });
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}
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});
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});
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