''' Author: ai-business-hql qingli.hql@alibaba-inc.com Date: 2025-07-31 19:38:08 LastEditors: ai-business-hql qingli.hql@alibaba-inc.com LastEditTime: 2025-08-14 06:14:22 FilePath: /comfyui_copilot/backend/agent_factory.py Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE ''' from agents import Agent, OpenAIChatCompletionsModel from dotenv import dotenv_values from .utils.globals import LLM_DEFAULT_BASE_URL, get_comfyui_copilot_api_key from openai import AsyncOpenAI import os from agents._config import set_default_openai_api from agents.tracing import set_tracing_disabled # from .utils.logger import log # def load_env_config(): # """Load environment variables from .env.llm file""" # from dotenv import load_dotenv # env_file_path = os.path.join(os.path.dirname(__file__), '.env.llm') # if os.path.exists(env_file_path): # load_dotenv(env_file_path) # log.info(f"Loaded environment variables from {env_file_path}") # else: # log.warning(f"Warning: .env.llm not found at {env_file_path}") # # Load environment configuration # load_env_config() set_default_openai_api("chat_completions") set_tracing_disabled(True) def create_agent(**kwargs) -> Agent: # 通过用户配置拿/环境变量 config = kwargs.pop("config") if "config" in kwargs else {} # 避免将 None 写入 headers session_id = (config or {}).get("session_id") default_headers = {} if session_id: default_headers["X-Session-ID"] = session_id client = AsyncOpenAI( api_key=get_comfyui_copilot_api_key() or "", base_url=LLM_DEFAULT_BASE_URL, default_headers=default_headers, ) if config: if config.get("openai_api_key") and config.get("openai_api_key") != "": client.api_key = config.get("openai_api_key") if config.get("openai_base_url") and config.get("openai_base_url") != "": client.base_url = config.get("openai_base_url") # if config.get("session_id") and config.get("session_id") != "": # client.default_headers["X-Session-ID"] = config.get("session_id") default_model_name = os.environ.get("OPENAI_MODEL", "gemini-2.5-flash") model_name = kwargs.pop("model") or default_model_name model = OpenAIChatCompletionsModel(model_name, openai_client=client) return Agent(model=model, **kwargs)