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import sys
import os
# 添加项目根目录到 Python 路径
current_dir = os.path.dirname(os.path.abspath(__file__))
project_root = os.path.dirname(current_dir)
if project_root not in sys.path:
sys.path.append(project_root)
from llm.wenxin_llm import Wenxin_LLM
from llm.spark_llm import Spark_LLM
from llm.zhipuai_llm import ZhipuAILLM
from langchain.chat_models import ChatOpenAI
from llm.call_llm import parse_llm_api_key
def model_to_llm(model:str=None, temperature:float=0.0, appid:str=None, api_key:str=None,Spark_api_secret:str=None,Wenxin_secret_key:str=None):
"""
星火：model,temperature,appid,api_key,api_secret
百度问心：model,temperature,api_key,api_secret
智谱：model,temperature,api_key
OpenAI：model,temperature,api_key
"""
if model in ["gpt-3.5-turbo", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0613", "gpt-4", "gpt-4-32k"]:
if api_key == None:
api_key = parse_llm_api_key("openai")
llm = ChatOpenAI(model_name = model, temperature = temperature , openai_api_key = api_key)
elif model in ["ERNIE-Bot", "ERNIE-Bot-4", "ERNIE-Bot-turbo"]:
if api_key == None or Wenxin_secret_key == None:
api_key, Wenxin_secret_key = parse_llm_api_key("wenxin")
llm = Wenxin_LLM(model=model, temperature = temperature, api_key=api_key, secret_key=Wenxin_secret_key)
elif model == "Spark-X1":
if api_key == None or appid == None and Spark_api_secret == None:
api_key, appid, Spark_api_secret = parse_llm_api_key("spark")
llm = Spark_LLM(model=model, temperature = temperature, appid=appid, api_secret=Spark_api_secret, api_key=api_key)
elif model in ["chatglm_pro", "chatglm_std", "chatglm_lite"]:
if api_key == None:
api_key = parse_llm_api_key("zhipuai")
llm = ZhipuAILLM(model=model, zhipuai_api_key=api_key, temperature = temperature)
elif model in ["qwen-turbo", "qwen-plus", "qwen-max"]:
if api_key == None:
api_key = parse_llm_api_key("ali")
from llm.ali_llm import Ali_LLM
llm = Ali_LLM(model=model, temperature=temperature, api_key=api_key)
else:
raise ValueError(f"model{model} not support!!!")
return llm |