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- """
- 自动化投放 Agent 系统 — 主入口
- 运行方式:
- cd /Users/liulidong/project/agent/Agent
- python examples/auto_put_ad/run.py
- """
- import asyncio
- import os
- import sys
- from pathlib import Path
- # 代理设置
- os.environ.setdefault("HTTP_PROXY", "http://127.0.0.1:29758")
- os.environ.setdefault("HTTPS_PROXY", "http://127.0.0.1:29758")
- # 添加项目根目录到 Python 路径
- sys.path.insert(0, str(Path(__file__).parent.parent.parent))
- from dotenv import load_dotenv
- load_dotenv()
- from agent.core.runner import AgentRunner
- from agent.trace import FileSystemTraceStore, Trace, Message
- from agent.llm import create_openrouter_llm_call
- from agent.utils import setup_logging
- # 导入配置(使用绝对路径导入)
- from examples.auto_put_ad.config import MAIN_CONFIG, SKILLS_DIR, TRACE_STORE_PATH, LOG_LEVEL, LOG_FILE
- # 导入自定义工具(触发 @tool 注册)
- from examples.auto_put_ad.tools.ad_api import (
- account_get_info, ad_batch_update_status, ad_create, ad_get_list,
- ad_get_report, ad_update, asset_get_list, audience_get_list,
- creative_create, creative_get_report, creative_update,
- )
- from examples.auto_put_ad.tools.audience_tools import (
- audience_build_targeting, audience_recommend_targeting,
- )
- from examples.auto_put_ad.tools.budget_calc import (
- get_ad_performance, get_account_summary,
- compute_budget_thresholds, classify_ads, compute_bid_adjustment,
- bid_adjustment_execute,
- )
- from examples.auto_put_ad.tools.strategy_config import (
- load_strategy_config, update_strategy_config, get_config_history,
- )
- from examples.auto_put_ad.tools.data_query import (
- data_aggregate, data_query, get_ad_current_status,
- )
- from examples.auto_put_ad.tools.monitor_tools import (
- monitor_check_metrics, monitor_circuit_break,
- )
- async def init_project_env(messages=None):
- """供 api_server 可视化调用:返回 (runner, messages, config)"""
- base_dir = Path(__file__).parent
- # 读取 main.prompt
- main_prompt_path = base_dir / "prompts" / "main.prompt"
- system_prompt = ""
- if main_prompt_path.exists():
- system_prompt = main_prompt_path.read_text(encoding="utf-8")
- # 加载 presets(必须在创建 runner 之前)
- presets_path = base_dir / "presets.json"
- if presets_path.exists():
- from agent.core.presets import load_presets_from_json
- load_presets_from_json(str(presets_path))
- store = FileSystemTraceStore(base_path=TRACE_STORE_PATH)
- runner = AgentRunner(
- trace_store=store,
- llm_call=create_openrouter_llm_call(model=MAIN_CONFIG.model),
- skills_dir=SKILLS_DIR if Path(SKILLS_DIR).exists() else None,
- logger_name="agents.auto_put_ad",
- )
- config = MAIN_CONFIG
- if system_prompt:
- config.system_prompt = system_prompt
- # 如果前端没传 messages,给个默认的
- if not messages:
- messages = [{"role": "user", "content": "今天小程序预算10w"}]
- # 注入 system prompt 到 messages(run_api.py 的 config 合并会丢失 system_prompt,
- # 通过 messages 传递确保 system prompt 被 agent 接收)
- if system_prompt:
- has_system = any(m.get("role") == "system" for m in messages)
- if not has_system:
- messages = [{"role": "system", "content": system_prompt}] + messages
- return runner, messages, config
- async def main():
- """主函数"""
- base_dir = Path(__file__).parent
- # 初始化日志
- setup_logging(level=LOG_LEVEL, file=LOG_FILE)
- # 读取 main.prompt
- main_prompt_path = base_dir / "prompts" / "main.prompt"
- system_prompt = ""
- if main_prompt_path.exists():
- system_prompt = main_prompt_path.read_text(encoding="utf-8")
- # 加载 presets(必须在创建 runner 之前)
- presets_path = base_dir / "presets.json"
- if presets_path.exists():
- from agent.core.presets import load_presets_from_json
- load_presets_from_json(str(presets_path))
- # 创建 Runner(启用多 Agent)
- store = FileSystemTraceStore(base_path=TRACE_STORE_PATH)
- runner = AgentRunner(
- trace_store=store,
- llm_call=create_openrouter_llm_call(model=MAIN_CONFIG.model),
- skills_dir=SKILLS_DIR if Path(SKILLS_DIR).exists() else None,
- logger_name="agents.auto_put_ad",
- )
- # 如果有 system_prompt,注入到 config
- config = MAIN_CONFIG
- if system_prompt:
- config.system_prompt = system_prompt
- print("=" * 60)
- print(" 自动化投放 Agent 系统已启动")
- print("=" * 60)
- print("请输入投放任务(输入 'exit' 退出):")
- print("示例:")
- print(" - 今天小程序预算10w")
- print(" - 分析账户昨日投放效果,优化预算分配")
- print(" - 查询账户余额和今日消耗")
- print()
- while True:
- try:
- user_input = input("\n> ").strip()
- if not user_input:
- continue
- if user_input.lower() in ("exit", "quit", "q"):
- print("退出系统")
- break
- # 构建消息
- messages = [{"role": "user", "content": user_input}]
- # 每次对话用新的 trace
- config.trace_id = None
- print(f"\n🚀 执行任务: {user_input}\n")
- # 执行 Agent
- async for item in runner.run(messages=messages, config=config):
- if isinstance(item, Trace):
- print(f"[Trace] 状态: {item.status}")
- elif isinstance(item, Message):
- if item.role == "assistant" and item.content:
- content = item.content
- if isinstance(content, dict):
- text = content.get("text", "")
- else:
- text = content
- if text and text.strip():
- print(f"\n💭 {text}\n")
- elif item.role == "tool" and item.content:
- content = item.content
- if isinstance(content, str):
- text = content
- elif isinstance(content, dict):
- text = content.get("text", str(content))
- else:
- text = str(content)
- # 只打印前 500 字符避免刷屏
- if len(text) > 500:
- text = text[:500] + "..."
- print(f" [Tool] {text}")
- print("\n" + "=" * 60)
- print("✅ 任务完成")
- print("=" * 60)
- except KeyboardInterrupt:
- print("\n用户中断,退出系统")
- break
- except Exception as e:
- print(f"\n❌ 执行失败: {e}")
- import traceback
- traceback.print_exc()
- if __name__ == "__main__":
- asyncio.run(main())
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