#!/usr/bin/env python3 """ agent67/launch_paas.py — 通过 AgentPaaS 运行 lambda 个人助理 🐂 ================================================================ 两种运行模式: 1. PaaS API 模式: 启动 PaaS 服务,注册 agent,通过 REST API 对话 2. Claude Code 模式: 注册到 PaaS(版本/追踪),LLM 调用走 claude CLI 用法: # 一键启动(推荐) python launch_paas.py all # 分步执行 python launch_paas.py serve # 启动 PaaS 服务 python launch_paas.py register # 注册 lambda agent python launch_paas.py chat # 通过 PaaS API 与 lambda 对话 python launch_paas.py chat --claude-code # PaaS 追踪 + Claude Code 执行 """ from __future__ import annotations import argparse import json import os import shutil import subprocess import sys import time import urllib.request import urllib.error from pathlib import Path PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent # Paper08/ AGENT_DIR = Path(__file__).resolve().parent # agent67/ sys.path.insert(0, str(PROJECT_ROOT)) sys.path.insert(0, str(AGENT_DIR.parent)) # agentexample/ PAAS_URL = os.environ.get("AGENTPAAS_URL", "http://127.0.0.1:8000") API_KEY = os.environ.get("AGENTPAAS_API_KEY", "") # ═══════════════════════════════════════════════════════════ # PaaS API Helpers # ═══════════════════════════════════════════════════════════ def api_call(method: str, path: str, data: dict = None) -> dict: """调用 AgentPaaS REST API""" url = f"{PAAS_URL}/api/v1{path}" body = json.dumps(data).encode("utf-8") if data else None req = urllib.request.Request(url, data=body, method=method) req.add_header("Content-Type", "application/json") req.add_header("Authorization", f"Bearer {API_KEY}") try: with urllib.request.urlopen(req, timeout=300) as resp: return json.loads(resp.read()) except urllib.error.HTTPError as e: body = e.read().decode() print(f" ✗ API Error {e.code}: {body[:300]}") return {"error": body} except urllib.error.URLError as e: print(f" ✗ Connection error: {e}") return {"error": str(e)} def wait_for_server(timeout: int = 30) -> bool: """等待 PaaS 服务就绪""" for _ in range(timeout): try: req = urllib.request.Request(f"{PAAS_URL}/health") with urllib.request.urlopen(req, timeout=2): return True except Exception: time.sleep(1) return False def load_agent_config() -> dict: """加载 agent67 的 YAML 配置""" import yaml config_path = AGENT_DIR / "agent-config.yml" with open(config_path, "r", encoding="utf-8") as f: return yaml.safe_load(f) # ═══════════════════════════════════════════════════════════ # 命令: serve — 启动 AgentPaaS 服务 # ═══════════════════════════════════════════════════════════ def cmd_serve(args): """启动 AgentPaaS 服务""" print("🚀 启动 AgentPaaS 服务...") proc = subprocess.Popen( [sys.executable, "-m", "agentpaas", "serve", "--port", str(args.port), "--dev"], cwd=str(PROJECT_ROOT), stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) print(f" PID: {proc.pid}") print(f" URL: http://127.0.0.1:{args.port}") print(" 等待服务就绪...") if not wait_for_server(30): print(" ✗ 服务启动超时") proc.kill() return None print(" ✓ PaaS 服务就绪") return proc def cmd_create_tenant(args): """创建租户并返回 API key""" print("\n📋 创建租户...") result = subprocess.run( [sys.executable, "-m", "agentpaas", "create-tenant", "--name", "agent67-lab"], capture_output=True, text=True, cwd=str(PROJECT_ROOT), ) for line in result.stdout.splitlines(): print(f" {line}") if line.startswith("API Key:"): return line.split(":", 1)[1].strip() return None # ═══════════════════════════════════════════════════════════ # 命令: register — 注册 lambda agent 到 PaaS # ═══════════════════════════════════════════════════════════ def cmd_register(args): """注册 lambda agent 到 AgentPaaS""" config = load_agent_config() print(f"\n📝 注册 lambda 🐂 到 AgentPaaS...") result = api_call("POST", "/agents", { "name": config.get("name", "Lambda 个人助理"), "description": config.get("description", "能操控电脑的全能型 AI 助手"), "config": config, "tags": ["agent67", "personal-assistant", "computer-use"], "environment": "production", }) if "agent_id" in result: agent_id = result["agent_id"] version = result["version"] print(f" ✓ 注册成功!") print(f" Agent ID: {agent_id}") print(f" Version: v{version}") print(f" Endpoint: POST /api/v1/agents/{agent_id}/run") # 保存 agent ID mapping = {"agent_id": agent_id, "version": version} mapping_path = AGENT_DIR / ".paas_agent_id.json" mapping_path.write_text(json.dumps(mapping, indent=2)) return agent_id else: print(f" ✗ 注册失败: {result.get('error', 'Unknown')}") return None # ═══════════════════════════════════════════════════════════ # 命令: chat — 通过 PaaS 与 lambda 对话 # ═══════════════════════════════════════════════════════════ def cmd_chat(args): """通过 AgentPaaS API 与 lambda 对话(交互式)""" # 加载 agent ID mapping_path = AGENT_DIR / ".paas_agent_id.json" if not mapping_path.exists(): print("✗ 未找到 agent ID,请先运行 register") return mapping = json.loads(mapping_path.read_text()) agent_id = mapping["agent_id"] use_claude_code = args.claude_code or not os.environ.get("ANTHROPIC_API_KEY") print(f"\n{'═' * 60}") print(f" 🐂 lambda — 通过 AgentPaaS 运行") print(f" Agent ID: {agent_id}") if use_claude_code: print(f" 后端: Claude Code Max Plan (无需 API Key)") else: print(f" 后端: AgentPaaS 标准执行 (from_config)") print(f"{'═' * 60}") if use_claude_code: _chat_claude_code(agent_id, args) else: _chat_paas_api(agent_id, args) def _chat_paas_api(agent_id: str, args): """纯 PaaS API 模式:所有执行都通过 PaaS""" print("\n 💡 所有请求通过 PaaS API 路由,执行记录自动保存") print(" 输入 'exit' 退出 | 'runs' 查看执行历史\n") while True: try: user_input = input("You: ").strip() except (EOFError, KeyboardInterrupt): print("\n👋 lambda 下线了!") break if not user_input: continue if user_input.lower() in ("exit", "quit", "bye"): print("👋 lambda 下线了!") break if user_input.lower() == "runs": _show_runs(agent_id) continue print() result = api_call("POST", f"/agents/{agent_id}/run", { "input": user_input, "parameters": {}, "context": {}, }) if "error" not in result: print(f"🐂 lambda: {result.get('output', '')}") usage = result.get("usage", {}) print(f" 📊 [run_id={result['run_id']} | " f"steps={usage.get('steps', 0)} | " f"tokens={usage.get('total_tokens', 0)} | " f"{usage.get('duration_ms', 0)}ms]") else: print(f"❌ 执行失败: {result['error'][:300]}") print() def _chat_claude_code(agent_id: str, args): """ Claude Code 混合模式: - LLM 调用 → claude CLI (Max Plan, 无需 API Key) - 工具执行 → 本地 Python - 执行追踪 → 写入 PaaS (runs 表) 这样兼顾了: ✅ 不需要 API Key ✅ 每次对话记录都在 PaaS 中追踪 ✅ 版本管理、执行历史 由 PaaS 管理 """ from agent67.core.assistant import PersonalAssistant print("\n 💡 LLM 调用走 Claude Code CLI,执行记录同步到 PaaS") print(" 输入 'exit' 退出 | 'runs' 查看执行历史 | 'trace' 查看 β-规约\n") assistant = PersonalAssistant(model="sonnet", use_api=False) while True: try: user_input = input("You: ").strip() except (EOFError, KeyboardInterrupt): print("\n👋 lambda 下线了!") break if not user_input: continue if user_input.lower() in ("exit", "quit", "bye"): print("👋 lambda 下线了!") break if user_input.lower() == "runs": _show_runs(agent_id) continue if user_input.lower() == "trace": assistant.print_trace() continue print() t0 = time.time() # 通过 ClaudeLam + 本地工具执行 response = assistant.chat(user_input) duration_ms = int((time.time() - t0) * 1000) steps = len(assistant.ctx.trace) print(f"🐂 lambda: {response}") # 同步执行记录到 PaaS _record_run_to_paas(agent_id, user_input, response, duration_ms, steps) print() def _record_run_to_paas(agent_id: str, input_text: str, output: str, duration_ms: int, steps: int): """ 将执行记录写入 PaaS(仅记录,不触发执行)。 调用 /agents/{id}/runs/record 端点, 与 /agents/{id}/run 不同,这个端点不会调 from_config/Lam, 只写入 runs 表。 """ result = api_call("POST", f"/agents/{agent_id}/runs/record", { "input": input_text[:500], "output": output[:2000], "status": "completed", "duration_ms": duration_ms, "steps": steps, "source": "claude-code-cli", }) if "run_id" in result: run_id = result["run_id"] print(f" 📊 [PaaS: run_id={run_id} | steps={steps} | {duration_ms}ms]") def _show_runs(agent_id: str): """显示最近的执行历史""" result = api_call("GET", f"/agents/{agent_id}/runs?limit=10") runs = result.get("runs", []) if not runs: print(" (暂无执行记录)") return print(f"\n📜 最近 {len(runs)} 次执行:") for r in runs: status_icon = "✅" if r.get("status") == "completed" else "❌" print(f" {status_icon} {r['id']} | {r.get('status')} | " f"{r.get('duration_ms', 0)}ms | {r.get('created_at', '')[:19]}") if r.get("input"): print(f" 输入: {r['input'][:80]}") print() # ═══════════════════════════════════════════════════════════ # 命令: all — 一键启动 # ═══════════════════════════════════════════════════════════ def cmd_all(args): """一键: 启动 PaaS + 创建租户 + 注册 agent + 开始对话""" global API_KEY proc = cmd_serve(args) if not proc: return try: # 创建租户 key = cmd_create_tenant(args) if key: API_KEY = key os.environ["AGENTPAAS_API_KEY"] = key # 注册 agent agent_id = cmd_register(args) if not agent_id: return # 开始对话 print(f"\n{'═' * 60}") print(f" 🐂 lambda 已就绪! 开始对话吧") print(f"{'═' * 60}") cmd_chat(args) except KeyboardInterrupt: print("\n\n🛑 中断") finally: print("\n关闭 PaaS 服务...") proc.terminate() try: proc.wait(timeout=5) except subprocess.TimeoutExpired: proc.kill() print(" ✓ 服务已关闭") # ═══════════════════════════════════════════════════════════ # 命令: status — 查看 agent 状态 # ═══════════════════════════════════════════════════════════ def cmd_status(args): """查看 lambda agent 在 PaaS 中的状态""" mapping_path = AGENT_DIR / ".paas_agent_id.json" if not mapping_path.exists(): print("✗ 未注册,请先运行: python launch_paas.py register") return mapping = json.loads(mapping_path.read_text()) agent_id = mapping["agent_id"] print(f"\n📋 lambda 🐂 状态查询") print(f" Agent ID: {agent_id}") # 查询 agent 信息 result = api_call("GET", f"/agents/{agent_id}") if "error" not in result: print(f" 名称: {result.get('name')}") print(f" 版本: v{result.get('current_version')}") print(f" 状态: {result.get('status')}") print(f" 创建: {result.get('created_at', '')[:19]}") # 查询版本历史 versions = api_call("GET", f"/agents/{agent_id}/versions") vlist = versions.get("versions", []) if vlist: print(f"\n 📦 版本历史 ({len(vlist)} 个):") for v in vlist[:5]: current = " ← current" if v.get("is_current") else "" print(f" v{v['version']}{current} | {v.get('created_at', '')[:19]}") # 查询最近执行 _show_runs(agent_id) # ═══════════════════════════════════════════════════════════ # CLI 入口 # ═══════════════════════════════════════════════════════════ def main(): parser = argparse.ArgumentParser( description="🐂 lambda — 通过 AgentPaaS 运行个人助理", formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" 示例: python launch_paas.py all # 一键启动 (推荐) python launch_paas.py serve # 只启动 PaaS 服务 python launch_paas.py register # 注册 agent python launch_paas.py chat --claude-code # Claude Code 模式对话 python launch_paas.py status # 查看状态 """ ) sub = parser.add_subparsers(dest="command") # serve p_serve = sub.add_parser("serve", help="启动 AgentPaaS 服务") p_serve.add_argument("--port", type=int, default=8000) # register sub.add_parser("register", help="注册 lambda agent 到 PaaS") # chat p_chat = sub.add_parser("chat", help="通过 PaaS 与 lambda 对话") p_chat.add_argument("--claude-code", action="store_true", help="使用 Claude Code CLI 作为 LLM 后端") # all p_all = sub.add_parser("all", help="一键启动全流程") p_all.add_argument("--port", type=int, default=8000) p_all.add_argument("--claude-code", action="store_true", default=True, help="使用 Claude Code CLI (默认)") # status sub.add_parser("status", help="查看 agent 状态") args = parser.parse_args() if not args.command: parser.print_help() return # 确保 claude-code 属性存在 if not hasattr(args, "claude_code"): args.claude_code = bool(shutil.which("claude")) commands = { "serve": lambda: cmd_serve(args), "register": lambda: cmd_register(args), "chat": lambda: cmd_chat(args), "all": lambda: cmd_all(args), "status": lambda: cmd_status(args), } commands[args.command]() if __name__ == "__main__": main()