llmskit 0.0.7

Client and Tools for LLMs

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LLM API
from llmskit import ChatLLM, AsyncChatLLM

# 调用Embedding API 
from llmskit import OpenAIEmbeddings, AsyncOpenAIEmbeddings

# 调用 Reranker API 
from llmskit.reranker import Reranker, AsyncReranker

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()