run.py 13 KB

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  1. """
  2. 示例(简化版 - 使用框架交互功能)
  3. 使用 Agent 模式 + Skills + 框架交互控制器
  4. 新功能:
  5. 1. 使用框架提供的 InteractiveController
  6. 2. 使用配置文件管理运行参数
  7. 3. 支持命令行随时打断(输入 'p' 暂停,'q' 退出)
  8. 4. 暂停后可插入干预消息
  9. 5. 支持触发经验总结
  10. 6. 查看当前 GoalTree
  11. 7. 支持通过 --trace <ID> 恢复已有 Trace 继续执行
  12. """
  13. import argparse
  14. import os
  15. import sys
  16. import asyncio
  17. from pathlib import Path
  18. # Clash Verge TUN 模式兼容:禁止 httpx/urllib 自动检测系统 HTTP 代理
  19. os.environ.setdefault("no_proxy", "*")
  20. # 添加项目根目录到 Python 路径
  21. sys.path.insert(0, str(Path(__file__).parent.parent.parent))
  22. from dotenv import load_dotenv
  23. load_dotenv()
  24. from agent.llm.prompts import SimplePrompt
  25. from agent.core.runner import AgentRunner, RunConfig
  26. from agent.core.presets import AgentPreset, register_preset
  27. from agent.trace import (
  28. FileSystemTraceStore,
  29. Trace,
  30. Message,
  31. )
  32. from agent.llm import create_openrouter_llm_call
  33. from agent.cli import InteractiveController
  34. from agent.utils import setup_logging
  35. from agent.tools.builtin.browser.baseClass import init_browser_session, kill_browser_session
  36. # 导入项目配置
  37. from config import RUN_CONFIG, SKILLS_DIR, TRACE_STORE_PATH, DEBUG, LOG_LEVEL, LOG_FILE, BROWSER_TYPE, HEADLESS
  38. async def main():
  39. # 解析命令行参数
  40. parser = argparse.ArgumentParser(description="任务 (Agent 模式 + 交互增强)")
  41. parser.add_argument(
  42. "--trace", type=str, default=None,
  43. help="已有的 Trace ID,用于恢复继续执行(不指定则新建)",
  44. )
  45. args = parser.parse_args()
  46. # 路径配置
  47. base_dir = Path(__file__).parent
  48. project_root = base_dir.parent.parent
  49. prompt_path = base_dir / "research.prompt"
  50. output_dir = base_dir / "output_1"
  51. output_dir.mkdir(exist_ok=True)
  52. # 1. 配置日志
  53. setup_logging(level=LOG_LEVEL, file=LOG_FILE)
  54. # 2. 加载项目级 presets
  55. print("2. 加载 presets...")
  56. presets_path = base_dir / "presets.json"
  57. if presets_path.exists():
  58. import json
  59. with open(presets_path, "r", encoding="utf-8") as f:
  60. project_presets = json.load(f)
  61. for name, cfg in project_presets.items():
  62. register_preset(name, AgentPreset(**cfg))
  63. print(f" - 已加载项目 presets: {list(project_presets.keys())}")
  64. # 3. 加载 prompt
  65. print("3. 加载 prompt...")
  66. prompt = SimplePrompt(prompt_path)
  67. # 4. 构建任务消息
  68. print("4. 构建任务消息...")
  69. messages = prompt.build_messages()
  70. # 5. 初始化浏览器
  71. import platform
  72. actual_browser_type = BROWSER_TYPE
  73. if platform.system() == "Windows" and BROWSER_TYPE == "local":
  74. actual_browser_type = "cloud"
  75. print("⚠️ Windows 平台检测到本地浏览器配置,自动切换为云浏览器模式")
  76. browser_mode_name = "云浏览器" if actual_browser_type == "cloud" else "本地浏览器"
  77. print(f"5. 正在初始化{browser_mode_name}...")
  78. await init_browser_session(
  79. browser_type=actual_browser_type,
  80. headless=HEADLESS,
  81. url="about:blank"
  82. )
  83. print(f" ✅ {browser_mode_name}初始化完成\n")
  84. # 6. 创建 Agent Runner
  85. print("6. 创建 Agent Runner...")
  86. print(f" - Skills 目录: {SKILLS_DIR}")
  87. # 从 prompt 的 frontmatter 中提取模型配置(优先于 config.py)
  88. prompt_model = prompt.config.get("model", None)
  89. if prompt_model:
  90. model_for_llm = prompt_model
  91. print(f" - 模型 (from prompt): {model_for_llm}")
  92. else:
  93. model_for_llm = RUN_CONFIG.model
  94. print(f" - 模型 (from config): {model_for_llm}")
  95. store = FileSystemTraceStore(base_path=TRACE_STORE_PATH)
  96. runner = AgentRunner(
  97. trace_store=store,
  98. llm_call=create_openrouter_llm_call(model=model_for_llm),
  99. skills_dir=SKILLS_DIR,
  100. debug=DEBUG
  101. )
  102. # 7. 创建交互控制器
  103. interactive = InteractiveController(
  104. runner=runner,
  105. store=store,
  106. enable_stdin_check=True
  107. )
  108. # 8. 任务信息
  109. task_name = RUN_CONFIG.name or base_dir.name
  110. print("=" * 60)
  111. print(f"{task_name}")
  112. print("=" * 60)
  113. print("💡 交互提示:")
  114. print(" - 执行过程中输入 'p' 或 'pause' 暂停并进入交互模式")
  115. print(" - 执行过程中输入 'q' 或 'quit' 停止执行")
  116. print("=" * 60)
  117. print()
  118. # 9. 判断是新建还是恢复
  119. resume_trace_id = args.trace
  120. if resume_trace_id:
  121. existing_trace = await store.get_trace(resume_trace_id)
  122. if not existing_trace:
  123. print(f"\n错误: Trace 不存在: {resume_trace_id}")
  124. sys.exit(1)
  125. print(f"恢复已有 Trace: {resume_trace_id[:8]}...")
  126. print(f" - 状态: {existing_trace.status}")
  127. print(f" - 消息数: {existing_trace.total_messages}")
  128. else:
  129. print(f"启动新 Agent...")
  130. print()
  131. final_response = ""
  132. current_trace_id = resume_trace_id
  133. current_sequence = 0
  134. should_exit = False
  135. try:
  136. # 配置
  137. run_config = RUN_CONFIG
  138. if resume_trace_id:
  139. initial_messages = None
  140. run_config.trace_id = resume_trace_id
  141. else:
  142. initial_messages = messages
  143. run_config.name = f"{task_name}:调研任务"
  144. while not should_exit:
  145. if current_trace_id:
  146. run_config.trace_id = current_trace_id
  147. final_response = ""
  148. # 如果 trace 已完成/失败且没有新消息,进入交互菜单
  149. if current_trace_id and initial_messages is None:
  150. check_trace = await store.get_trace(current_trace_id)
  151. if check_trace and check_trace.status in ("completed", "failed"):
  152. if check_trace.status == "completed":
  153. print(f"\n[Trace] ✅ 已完成")
  154. print(f" - Total messages: {check_trace.total_messages}")
  155. print(f" - Total cost: ${check_trace.total_cost:.4f}")
  156. else:
  157. print(f"\n[Trace] ❌ 已失败: {check_trace.error_message}")
  158. current_sequence = check_trace.head_sequence
  159. menu_result = await interactive.show_menu(current_trace_id, current_sequence)
  160. if menu_result["action"] == "stop":
  161. break
  162. elif menu_result["action"] == "continue":
  163. new_messages = menu_result.get("messages", [])
  164. if new_messages:
  165. initial_messages = new_messages
  166. run_config.after_sequence = menu_result.get("after_sequence")
  167. else:
  168. initial_messages = []
  169. run_config.after_sequence = None
  170. continue
  171. break
  172. initial_messages = []
  173. print(f"{'▶️ 开始执行...' if not current_trace_id else '▶️ 继续执行...'}")
  174. # 执行 Agent
  175. paused = False
  176. try:
  177. async for item in runner.run(messages=initial_messages, config=run_config):
  178. # 检查用户中断
  179. cmd = interactive.check_stdin()
  180. if cmd == 'pause':
  181. print("\n⏸️ 正在暂停执行...")
  182. if current_trace_id:
  183. await runner.stop(current_trace_id)
  184. await asyncio.sleep(0.5)
  185. menu_result = await interactive.show_menu(current_trace_id, current_sequence)
  186. if menu_result["action"] == "stop":
  187. should_exit = True
  188. paused = True
  189. break
  190. elif menu_result["action"] == "continue":
  191. new_messages = menu_result.get("messages", [])
  192. if new_messages:
  193. initial_messages = new_messages
  194. after_seq = menu_result.get("after_sequence")
  195. if after_seq is not None:
  196. run_config.after_sequence = after_seq
  197. paused = True
  198. break
  199. else:
  200. initial_messages = []
  201. run_config.after_sequence = None
  202. paused = True
  203. break
  204. elif cmd == 'quit':
  205. print("\n🛑 用户请求停止...")
  206. if current_trace_id:
  207. await runner.stop(current_trace_id)
  208. should_exit = True
  209. break
  210. # 处理 Trace 对象
  211. if isinstance(item, Trace):
  212. current_trace_id = item.trace_id
  213. if item.status == "running":
  214. print(f"[Trace] 开始: {item.trace_id[:8]}...")
  215. elif item.status == "completed":
  216. print(f"\n[Trace] ✅ 完成")
  217. print(f" - Total messages: {item.total_messages}")
  218. print(f" - Total cost: ${item.total_cost:.4f}")
  219. elif item.status == "failed":
  220. print(f"\n[Trace] ❌ 失败: {item.error_message}")
  221. elif item.status == "stopped":
  222. print(f"\n[Trace] ⏸️ 已停止")
  223. # 处理 Message 对象
  224. elif isinstance(item, Message):
  225. current_sequence = item.sequence
  226. if item.role == "assistant":
  227. content = item.content
  228. if isinstance(content, dict):
  229. text = content.get("text", "")
  230. tool_calls = content.get("tool_calls")
  231. if text and not tool_calls:
  232. final_response = text
  233. print(f"\n[Response] Agent 回复:")
  234. print(text)
  235. elif text:
  236. preview = text[:150] + "..." if len(text) > 150 else text
  237. print(f"[Assistant] {preview}")
  238. elif item.role == "tool":
  239. content = item.content
  240. tool_name = "unknown"
  241. if isinstance(content, dict):
  242. tool_name = content.get("tool_name", "unknown")
  243. if item.description and item.description != tool_name:
  244. desc = item.description[:80] if len(item.description) > 80 else item.description
  245. print(f"[Tool Result] ✅ {tool_name}: {desc}...")
  246. else:
  247. print(f"[Tool Result] ✅ {tool_name}")
  248. except Exception as e:
  249. print(f"\n执行出错: {e}")
  250. import traceback
  251. traceback.print_exc()
  252. if paused:
  253. if should_exit:
  254. break
  255. continue
  256. if should_exit:
  257. break
  258. # Runner 退出后显示交互菜单
  259. if current_trace_id:
  260. menu_result = await interactive.show_menu(current_trace_id, current_sequence)
  261. if menu_result["action"] == "stop":
  262. break
  263. elif menu_result["action"] == "continue":
  264. new_messages = menu_result.get("messages", [])
  265. if new_messages:
  266. initial_messages = new_messages
  267. run_config.after_sequence = menu_result.get("after_sequence")
  268. else:
  269. initial_messages = []
  270. run_config.after_sequence = None
  271. continue
  272. break
  273. except KeyboardInterrupt:
  274. print("\n\n用户中断 (Ctrl+C)")
  275. if current_trace_id:
  276. await runner.stop(current_trace_id)
  277. finally:
  278. # 清理浏览器会话
  279. try:
  280. await kill_browser_session()
  281. except Exception:
  282. pass
  283. # 7. 输出结果
  284. if final_response:
  285. print()
  286. print("=" * 60)
  287. print("Agent 响应:")
  288. print("=" * 60)
  289. print(final_response)
  290. print("=" * 60)
  291. print()
  292. output_file = output_dir / "result.txt"
  293. with open(output_file, 'w', encoding='utf-8') as f:
  294. f.write(final_response)
  295. print(f"✓ 结果已保存到: {output_file}")
  296. print()
  297. # 可视化提示
  298. if current_trace_id:
  299. print("=" * 60)
  300. print("可视化 Step Tree:")
  301. print("=" * 60)
  302. print("1. 启动 API Server:")
  303. print(" python3 api_server.py")
  304. print()
  305. print("2. 浏览器访问:")
  306. print(" http://localhost:8000/api/traces")
  307. print()
  308. print(f"3. Trace ID: {current_trace_id}")
  309. print("=" * 60)
  310. if __name__ == "__main__":
  311. asyncio.run(main())