# Use Hanzo AI with LangChain — Hanzo AI

> Integrate LangChain with Hanzo AI to build chains, agents, and RAG pipelines using any of our 500+ models. Hanzo is OpenAI-compatible so ChatOpenAI just works.

[Integrations](https://hanzo.ai/integrations)/LangChain

⛓️Frameworks

# Use Hanzo AI with LangChain

Integrate LangChain with Hanzo AI to build chains, agents, and RAG pipelines using any of our 500+ models. Hanzo is OpenAI-compatible so ChatOpenAI just works.

Base URL: `https://api.hanzo.ai/v1`

API Key: Get yours at [hanzo.ai/signup](https://hanzo.ai/signup) · Fully OpenAI-compatible · 500+ models available

⛓️

Created by [LangChain AI](https://langchain.com)

License: MIT · [View source on GitHub →](https://github.com/langchain-ai/langchain)

Hanzo AI is OpenAI-compatible, so existing LangChain code works with zero refactoring. We deeply appreciate the LangChain AI team for building and maintaining this open-source project.

## LangChain Python

python

```
pip install langchain langchain-openai from langchain_openai import ChatOpenAI llm = ChatOpenAI( model="zen4-pro", openai_api_key="your-hanzo-api-key", openai_api_base="https://api.hanzo.ai/v1", ) response = llm.invoke("What is the capital of France?") print(response.content)
```

## Chain with prompt

python

```
from langchain_core.prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI prompt = ChatPromptTemplate.from_template("Summarize: {text}") llm = ChatOpenAI( model="openai/gpt-4.1-mini", openai_api_key="your-hanzo-api-key", openai_api_base="https://api.hanzo.ai/v1", ) chain = prompt | llm result = chain.invoke({"text": "LangChain is a framework..."})
```

## LangChain TypeScript

typescript

```
import { ChatOpenAI } from "@langchain/openai"; const model = new ChatOpenAI({ modelName: "zen4-pro", openAIApiKey: process.env.HANZO_API_KEY, configuration: { baseURL: "https://api.hanzo.ai/v1", }, }); const response = await model.invoke("Hello!");
```

## RAG with Hanzo

python

```
from langchain_openai import ChatOpenAI, OpenAIEmbeddings embeddings = OpenAIEmbeddings( openai_api_key="your-hanzo-api-key", openai_api_base="https://api.hanzo.ai/v1", model="openai/text-embedding-3-large", ) llm = ChatOpenAI( model="zen4-pro", openai_api_key="your-hanzo-api-key", openai_api_base="https://api.hanzo.ai/v1", )
```

## Ready to get started?

Create a free account and get your API key. 100K API calls/month free forever.

[Get API Key — Free](https://hanzo.ai/signup)[Browse Models](https://hanzo.ai/models)

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