rag_project/llm/llm.py

import os
# from langchain_community.chat_models import ChatOpenAI
from langchain_openai import ChatOpenAI
from langchain_community.llms import Tongyi
from langchain_community.chat_models.tongyi import ChatTongyi


class LLM():
    def __init__(self, model_name='qwen'):
        if model_name == 'deepseek':
            self.llm = self.deepseek_llm()
        elif model_name == 'qwen':
            self.llm = self.qwen_llm()
        else:
            raise ValueError("Unsupported model name")

    def deepseek_llm(self):
        llm = ChatOpenAI(
            model='deepseek-coder',
            openai_api_key='sk-7a15d12a3e254dd0a3408f1544c72da5',
            openai_api_base='https://api.deepseek.com',
            max_tokens=1024
        )
        return llm

    def qwen_llm(self):
        os.environ["DASHSCOPE_API_KEY"] = "sk-86d4622141d74e9a8d7c38ee873c4d91"
        llm = ChatTongyi(model='qwen-turbo')
        return llm


    def get_llm(self):
        return self.llm

class QwenTurboTongyi(Tongyi):
    mode_name = 'qwen-plus'