自定义langchain的流式接受类BaseCallbackHandler class ChainStreamHandler(StreamingStdOutCallbackHandler): def __init__(self): self.tokens = [] # 记得结束后这里置true self.finish = False def on_llm_new_token(self, token: str, **kwargs): print(token, end="") self.tokens.append(token) de...
defget_llm_lc(self, app, r: ChatCompletionRequestStruct):"""获取ai响应langchain版"""returnChatOpenAI( temperature=0.5, openai_api_key=Config.ZHIPUAI_API_KEY, openai_api_base=Config.ZHIPUAI_OPENAI_API_URL, model=Config.ZHIPUAI_MODEL, streaming=r.streaming, callbacks=[StreamingStdOutCallbackHan...
agents import AgentType, initialize_agent, load_tools from langchain.chat_models import ChatOpenAI input_string = '查一下论文 1605.08386 的信息' # data = { # "prompt": input_string # } # json_data = json.dumps(data, ensure_ascii=False) # print(json_data) # llm = ChatOpenAI( # mod...
def get_llm_lc(self, app, r: ChatCompletionRequestStruct): """ 获取ai响应langchain版 """return ChatOpenAI( temperature=0.5, openai_api_key=Config.ZHIPUAI_API_KEY, openai_api_base=Config.ZHIPUAI_OPENAI_API_URL, model=Config.ZHIPUAI_MODEL, streaming=r.streaming, callbacks=[StreamingStdOutCal...
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