Client and Tools for LLMs
Project description
llmskit
统一的LLM客户端与工具
Documentation
完整的 API 文档待补充
Installation
pip install llmskit
Api
# 调用embedding
from llmskit import OpenAIEmbeddings, AsyncOpenAIEmbeddings
# 调用LLM
from llmskit import ChatLLM, AsyncChatLLM
Usage
from llmskit.chat import ChatLLM
chat = ChatLLM.from_openai(model="", base_url="")
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "who are you?"}
]
response = chat.complete(messages=messages)
print(response)
# 输出
# LLMChatComplete(content='I am Qwen, a large-scale language model independently developed by the Tongyi Lab under Alibaba Group. I can answer questions, create text such as stories, official documents, emails, scripts, perform logical reasoning, coding, and more. I can also express opinions and play games. I am trained on a vast amount of internet text and have extensive knowledge and strong language understanding capabilities. How can I assist you today?', reasoning_content='', tool_calls=[])
print(response.content)
Todo
使用新版的返回格式
import openai
openai.responses.create()
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