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Documentation Index

Fetch the complete documentation index at: https://docs.browsernode.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Here’s how to configure the models.

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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.

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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).

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Supported Models

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,

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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=

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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=

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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=

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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=