Supported Models

Overview

Here’s how to configure the models.

Migration from Langchain

with import { ChatOpenAI } from "browsernode"; or import { ChatOpenAI } from "browsernode/llm"; etc. The methods should be compatible(ish). We also made and example here to help you stay with Langchain in case your workflow requires it.

Model Recommendations

We recommend using GPT-4.1 for the best performance (best accuracy ~$0.01 per step). The best price to performance can be achieved using gemini-2.5-flash (currently also the most popular model, costs ~$0.001 per step).

Our library natively supports the following models:

OpenAI
Anthropic
Azure OpenAI
Gemini

We also support all other models that can be called via OpenAI compatible API (deepseek, novita, x, qwen). Please open a PR if you want to add a model. We have natively switched to structured output when possible,

OpenAI

OpenAI’s GPT-4.1 models are recommended for best performance.

import { Agent } from "browsernode";
import { ChatOpenAI } from "browsernode/llm";

// Initialize the model
const llm = new ChatOpenAI({
	model: "gpt-4.1",
	apiKey: process.env.OPENAI_API_KEY,
});
// Create agent with the model
const agent = new Agent({
    task: task,
    llm: llm,
});

Required environment variables:

.env

OPENAI_API_KEY=

Anthropic

import { Agent } from "browsernode";
import { ChatAnthropic } from "browsernode/llm";

// Initialize the model
const llm = new ChatAnthropic({
	model: "claude-3-5-sonnet-20240620",
	apiKey: process.env.ANTHROPIC_API_KEY,
});

// Create agent with the model
const agent = new Agent({
    task: task,
    llm: llm,
});

And add the variable:

.env

ANTHROPIC_API_KEY=

Azure OpenAI

import { Agent } from "browsernode";
import { ChatAzureOpenAI } from "browsernode/llm";

// Initialize the model
const llm = new ChatAzureOpenAI({
	model: "gpt-4.1",
	apiKey: process.env.AZURE_OPENAI_API_KEY,
	endpoint: process.env.AZURE_OPENAI_ENDPOINT,
});

// Create agent with the model
const agent = new Agent({
    task: task,
    llm: llm,
});

Required environment variables:

.env

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

Gemini

[!IMPORTANT] GEMINI_API_KEY was the old environment var name, it should be called GOOGLE_API_KEY as of 2025-05.

import { Agent } from "browsernode";
import { ChatGoogle } from "browsernode/llm";

// Initialize the model
const llm = new ChatGoogle({
	model: "gemini-2.5-flash",
	apiKey: process.env.GOOGLE_API_KEY,
});

// Create agent with the model
const agent = new Agent({
    task: task,
    llm: llm,
});

Required environment variables:

.env

GOOGLE_API_KEY=

Get Started

Customize

Supported Models

Overview

Migration from Langchain

Model Recommendations