​
Overview

Browser Use supports various LangChain chat models. Here’s how to configure and use the most popular ones. The full list is available in the LangChain documentation.

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Model Recommendations

We have yet to test performance across all models. Currently, we recommend using GPT-4o. It achieves 89% accuracy on WebVoyager Dataset.

All models require their respective API keys. Make sure to set them in your environment variables before running the agent.

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Supported Models

All LangChain chat models are supported. We will document the most popular ones here.

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OpenAI

OpenAI’s GPT-4o models are recommended for best performance.

from langchain_openai import ChatOpenAI
from browser_use import Agent

# Initialize the model
llm = ChatOpenAI(
    model="gpt-4o",
    temperature=0.0,
)

# Create agent with the model
agent = Agent(
    task="Your task here",
    llm=llm
)

Required environment variables:

.env
OPENAI_API_KEY=

​
Anthropic

Claude models provide excellent performance and can handle complex tasks well.

from langchain_anthropic import ChatAnthropic
from browser_use import Agent

# Initialize the model
llm = ChatAnthropic(
    model_name="claude-3-sonnet-20240229",
    temperature=0.0,
    timeout=100, # Increase for complex tasks
)

# Create agent with the model
agent = Agent(
    task="Your task here",
    llm=llm
)

And add the variable:

.env
ANTHROPIC_API_KEY=

​
Azure OpenAI

If you’re using Azure OpenAI services, you can configure the model like this:

from langchain_openai import AzureChatOpenAI
from browser_use import Agent
from pydantic import SecretStr
import os

# Initialize the model
llm = AzureChatOpenAI(
    model="gpt-4o",
    api_version='2024-10-21',
    azure_endpoint=os.getenv('AZURE_OPENAI_ENDPOINT', ''),
    api_key=SecretStr(os.getenv('AZURE_OPENAI_KEY', '')),
)

# Create agent with the model
agent = Agent(
    task="Your task here",
    llm=llm
)

Required environment variables:

.env
AZURE_OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
AZURE_OPENAI_KEY=

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Coming soon

(Sorry, we are working on it)

  • Gemini
  • Groq
  • DeepSeek
  • Github
  • Ollama
  • QWen

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