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LiteLLM 是一个简化调用 Anthropic、Azure、Huggingface、Replicate 等服务的库。 本笔记本介绍如何开始使用 LangChain + LiteLLM I/O 库。 此集成包含两个主要类:
  • ChatLiteLLM:用于 LiteLLM 基本使用的主要 LangChain 封装 (文档)。
  • ChatLiteLLMRouter:利用 LiteLLM Router 的 ChatLiteLLM 封装 (文档)。

概述

集成详情

可序列化JS 支持下载量版本
ChatLiteLLMlangchain-litellmPyPI - DownloadsPyPI - Version
ChatLiteLLMRouterlangchain-litellmPyPI - DownloadsPyPI - Version

模型功能

工具调用结构化输出图像输入音频输入视频输入Token 级流式输出原生异步Token 用量对数概率

设置

要访问 ChatLiteLLMChatLiteLLMRouter 模型,您需要安装 langchain-litellm 包并创建 OpenAI、Anthropic、Azure、Replicate、OpenRouter、Hugging Face、Together AI 或 Cohere 账户。然后,您需要获取 API 密钥并将其导出为环境变量。

凭证

您需要选择要使用的大语言模型 (LLM) 提供商,并注册获取其 API 密钥。

示例 - Anthropic

前往 Claude 控制台 注册并生成 Claude API 密钥。完成后设置 ANTHROPIC_API_KEY 环境变量:

示例 - OpenAI

前往 platform.openai.com/api-keys 注册 OpenAI 并生成 API 密钥。完成后,设置 OPENAI_API_KEY 环境变量。
## 设置环境变量
import os

os.environ["OPENAI_API_KEY"] = "your-openai-key"
os.environ["ANTHROPIC_API_KEY"] = "your-anthropic-key"

安装

LangChain LiteLLM 集成可在 langchain-litellm 包中获取:
pip install -qU langchain-litellm

实例化

ChatLiteLLM

您可以通过提供 LiteLLM 支持的 model 名称来实例化 ChatLiteLLM 模型。
from langchain_litellm import ChatLiteLLM

llm = ChatLiteLLM(model="gpt-5.4-nano", temperature=0.1)

ChatLiteLLMRouter

您还可以通过按照 LiteLLM 路由文档 中的说明定义模型列表来利用 LiteLLM 的路由功能。
from langchain_litellm import ChatLiteLLMRouter
from litellm import Router

model_list = [
    {
        "model_name": "gpt-5.4",
        "litellm_params": {
            "model": "azure/gpt-5.4",
            "api_key": "<your-api-key>",
            "api_version": "2024-10-21",
            "api_base": "https://<your-endpoint>.openai.azure.com/",
        },
    },
    {
        "model_name": "gpt-5.4",
        "litellm_params": {
            "model": "azure/gpt-5.4",
            "api_key": "<your-api-key>",
            "api_version": "2024-10-21",
            "api_base": "https://<your-endpoint>.openai.azure.com/",
        },
    },
]
litellm_router = Router(model_list=model_list)
llm = ChatLiteLLMRouter(router=litellm_router, model_name="gpt-5.4", temperature=0.1)

调用

无论您实例化的是 ChatLiteLLM 还是 ChatLiteLLMRouter,现在都可以通过 LangChain 的 API 使用该聊天模型。
response = await llm.ainvoke(
    "Classify the text into neutral, negative or positive. Text: I think the food was okay. Sentiment:"
)
print(response)
content='Neutral' additional_kwargs={} response_metadata={'token_usage': Usage(completion_tokens=2, prompt_tokens=30, total_tokens=32, completion_tokens_details=CompletionTokensDetailsWrapper(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0, text_tokens=None), prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None)), 'model': 'gpt-3.5-turbo', 'finish_reason': 'stop', 'model_name': 'gpt-3.5-turbo'} id='run-ab6a3b21-eae8-4c27-acb2-add65a38221a-0' usage_metadata={'input_tokens': 30, 'output_tokens': 2, 'total_tokens': 32}

异步和流式输出功能

ChatLiteLLMChatLiteLLMRouter 也支持异步和流式输出功能:
async for token in llm.astream("Hello, please explain how antibiotics work"):
    print(token.text(), end="")
Antibiotics are medications that fight bacterial infections in the body. They work by targeting specific bacteria and either killing them or preventing their growth and reproduction.

There are several different mechanisms by which antibiotics work. Some antibiotics work by disrupting the cell walls of bacteria, causing them to burst and die. Others interfere with the protein synthesis of bacteria, preventing them from growing and reproducing. Some antibiotics target the DNA or RNA of bacteria, disrupting their ability to replicate.

It is important to note that antibiotics only work against bacterial infections and not viral infections. It is also crucial to take antibiotics as prescribed by a healthcare professional and to complete the full course of treatment, even if symptoms improve before the medication is finished. This helps to prevent antibiotic resistance, where bacteria become resistant to the effects of antibiotics.

API 参考

有关 ChatLiteLLMChatLiteLLMRouter 所有功能和配置的详细文档,请前往 API 参考