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Merge pull request #2 from auto-browse/feature_azure_openai
Feature: Add support for azure, vertex, ollama, anthropic
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‎README.md

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Auto Browse requires environment variables for the LLM (Language Model) configuration. Create a `.env` file in your project root:
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```env
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# For OpenAI (default)
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# OpenAI (default)
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OPENAI_API_KEY=your_openai_api_key_here
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LLM_PROVIDER=openai # Optional, this is default
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LLM_PROVIDER=openai # Optional, defaults to openai
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AUTOBROWSE_LLM_MODEL=gpt-4o-mini # Optional, defaults to gpt-4o-mini
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# Or for Google AI
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# Google AI
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GOOGLE_API_KEY=your_google_key_here
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LLM_PROVIDER=google
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite # Or other supported model
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite
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# Azure OpenAI
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AZURE_OPENAI_API_KEY=your_azure_key_here
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AZURE_OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
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AZURE_OPENAI_API_VERSION=2024-12-01-preview
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AZURE_OPENAI_API_DEPLOYMENT_NAME=your-deployment-name
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LLM_PROVIDER=azure
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# Anthropic
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ANTHROPIC_API_KEY=your_anthropic_key_here
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LLM_PROVIDER=anthropic
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AUTOBROWSE_LLM_MODEL=claude-3
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# Google Vertex AI
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GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
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LLM_PROVIDER=vertex
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# Ollama
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BASE_URL=http://localhost:11434 # Optional, defaults to this value
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LLM_PROVIDER=ollama
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AUTOBROWSE_LLM_MODEL=llama3.1
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```
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You can find an example configuration in `example.env`.
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### Environment Variables
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| Variable | Description | Default |
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| ---------------------- | ----------------------------------- | ------------- |
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| `LLM_PROVIDER` | LLM provider to use (openai/google) | `openai` |
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| `OPENAI_API_KEY` | Your OpenAI API key | - |
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| `GOOGLE_API_KEY` | Your Google AI API key | - |
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| `AUTOBROWSE_LLM_MODEL` | The LLM model to use | `gpt-4o-mini` |
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| Variable | Description | Default | Required For |
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| ---------------------------------- | -------------------------------------- | ------------------------ | ------------ |
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| `LLM_PROVIDER` | LLM provider to use | `openai` | No |
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| `AUTOBROWSE_LLM_MODEL` | The LLM model to use | `gpt-4o-mini` | No |
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| `OPENAI_API_KEY` | OpenAI API key | - | OpenAI |
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| `GOOGLE_API_KEY` | Google AI API key | - | Google AI |
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| `AZURE_OPENAI_API_KEY` | Azure OpenAI API key | - | Azure |
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| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL | - | Azure |
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| `AZURE_OPENAI_API_VERSION` | Azure OpenAI API version | `2024-12-01-preview` | Azure |
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| `AZURE_OPENAI_API_DEPLOYMENT_NAME` | Azure OpenAI deployment name | - | Azure |
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| `ANTHROPIC_API_KEY` | Anthropic API key | - | Anthropic |
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| `GOOGLE_APPLICATION_CREDENTIALS` | Path to Google Vertex credentials file | - | Vertex AI |
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| `BASE_URL` | Ollama API endpoint | `http://localhost:11434` | No |
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## Supported LLM Providers
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Currently supported:
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Auto Browse supports multiple LLM providers:
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- OpenAI (gpt-4o-mini and compatible models)
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- Google AI (Gemini models)
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Coming soon:
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- Anthropic Claude
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- Local LLMs
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- Meta Llama
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- OpenAI (default) - GPT-4 and compatible models
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- Google AI - Gemini models
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- Azure OpenAI - GPT models on Azure
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- Anthropic - Claude models
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- Google Vertex AI - PaLM and Gemini models
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- Ollama - Run models locally
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## Usage
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‎docs/environment-setup.mdx

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```env
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OPENAI_API_KEY=your_openai_api_key_here
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LLM_PROVIDER=openai # Optional, this is default
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LLM_PROVIDER=openai # Optional, defaults to openai
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AUTOBROWSE_LLM_MODEL=gpt-4o-mini # Optional, defaults to gpt-4o-mini
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```
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OpenAI models supported:
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- `gpt-4o-mini` (default)
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- Compatible GPT models
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- Compatible GPT-4 models
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### Google AI
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### Google AI (Gemini)
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Configure your environment:
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1. Get your Google AI API key:
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- Go to [Google AI Studio](https://makersuite.google.com)
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- Create an account or sign in
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- Generate an API key
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2. Configure your environment:
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```env
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GOOGLE_API_KEY=your_google_key_here
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LLM_PROVIDER=google
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite # Or other supported model
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite
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```
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## Upcoming Provider Support
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#### Model Options
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- `gemini-2.0-flash-lite`
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- Other Gemini models
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### Azure OpenAI
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The following LLM providers will be supported in future releases:
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1. Set up Azure OpenAI:
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- Create an Azure account
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- Set up Azure OpenAI service
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- Deploy a model
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- Get your API details
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2. Configure your environment:
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```env
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AZURE_OPENAI_API_KEY=your_azure_key_here
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AZURE_OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
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AZURE_OPENAI_API_VERSION=2024-12-01-preview
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AZURE_OPENAI_API_DEPLOYMENT_NAME=your-deployment-name
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LLM_PROVIDER=azure
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```
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### Anthropic Claude
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1. Get your Anthropic API key:
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- Go to [Anthropic's Console](https://console.anthropic.com)
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- Create an account
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- Generate an API key
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2. Configure your environment:
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```env
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ANTHROPIC_API_KEY=your_anthropic_key_here
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LLM_PROVIDER=anthropic
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AUTOBROWSE_LLM_MODEL=claude-3 # Example model
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AUTOBROWSE_LLM_MODEL=claude-3
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```
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### Local LLMs
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### Google Vertex AI
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Support for running models locally using providers like:
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1. Set up Google Cloud:
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- Ollama
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- LMStudio
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- LocalAI
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- Create a Google Cloud project
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- Enable Vertex AI API
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- Create service account credentials
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Configuration will be available in future releases.
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2. Configure your environment:
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```env
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GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
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LLM_PROVIDER=vertex
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```
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### Meta Llama
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### Ollama (Local Deployment)
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Integration with Meta's Llama models will be supported through various hosting options.
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1. Install Ollama:
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- Follow installation instructions at [Ollama.ai](https://ollama.ai)
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- Start the Ollama service
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2. Configure your environment:
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```env
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LLM_PROVIDER=ollama
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AUTOBROWSE_LLM_MODEL=llama2
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BASE_URL=http://localhost:11434 # Optional, this is the default
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```
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## Advanced Configuration
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‎docs/installation.mdx

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### Setting up Environment Variables
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1. Create a `.env` file in your project root:
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1. Create a `.env` file in your project root. Below are configuration examples for each supported provider:
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```env
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# For OpenAI (default)
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# OpenAI (default)
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OPENAI_API_KEY=your_openai_api_key_here
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LLM_PROVIDER=openai # Optional, this is default
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LLM_PROVIDER=openai # Optional, defaults to openai
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AUTOBROWSE_LLM_MODEL=gpt-4o-mini # Optional, defaults to gpt-4o-mini
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# Or for Google AI
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# Google AI
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GOOGLE_API_KEY=your_google_key_here
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LLM_PROVIDER=google
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite # Or other supported model
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite
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# Azure OpenAI
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AZURE_OPENAI_API_KEY=your_azure_key_here
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AZURE_OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
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AZURE_OPENAI_API_VERSION=2024-12-01-preview
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AZURE_OPENAI_API_DEPLOYMENT_NAME=your-deployment-name
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LLM_PROVIDER=azure
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# Anthropic
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ANTHROPIC_API_KEY=your_anthropic_key_here
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LLM_PROVIDER=anthropic
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AUTOBROWSE_LLM_MODEL=claude-3
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# Google Vertex AI
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GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
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LLM_PROVIDER=vertex
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# Ollama
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BASE_URL=http://localhost:11434 # Optional, defaults to this value
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LLM_PROVIDER=ollama
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AUTOBROWSE_LLM_MODEL=llama2
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```
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### Environment Variables Reference
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| Variable | Description | Default | Required |
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| ---------------------- | ----------------------------------- | ------------- | ---------- |
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| `LLM_PROVIDER` | LLM provider to use (openai/google) | `openai` | No |
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| `OPENAI_API_KEY` | Your OpenAI API key | - | For OpenAI |
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| `GOOGLE_API_KEY` | Your Google AI API key | - | For Google |
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| `AUTOBROWSE_LLM_MODEL` | The LLM model to use | `gpt-4o-mini` | No |
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| Variable | Description | Default | Required For |
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| ---------------------------------- | -------------------------------------- | ------------------------ | ------------ |
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| `LLM_PROVIDER` | LLM provider to use | `openai` | No |
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| `AUTOBROWSE_LLM_MODEL` | The LLM model to use | `gpt-4o-mini` | No |
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| `OPENAI_API_KEY` | OpenAI API key | - | OpenAI |
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| `GOOGLE_API_KEY` | Google AI API key | - | Google AI |
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| `AZURE_OPENAI_API_KEY` | Azure OpenAI API key | - | Azure |
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| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL | - | Azure |
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| `AZURE_OPENAI_API_VERSION` | Azure OpenAI API version | `2024-12-01-preview` | Azure |
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| `AZURE_OPENAI_API_DEPLOYMENT_NAME` | Azure OpenAI deployment name | - | Azure |
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| `ANTHROPIC_API_KEY` | Anthropic API key | - | Anthropic |
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| `GOOGLE_APPLICATION_CREDENTIALS` | Path to Google Vertex credentials file | - | Vertex AI |
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| `BASE_URL` | Ollama API endpoint | `http://localhost:11434` | No |
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## TypeScript Configuration
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‎docs/introduction.mdx

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## Supported LLM Providers
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Currently supported:
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Auto Browse integrates with multiple LLM providers:
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- OpenAI (gpt-4o-mini and compatible models)
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- OpenAI (default) - GPT-4 and compatible models
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- Google AI - Gemini models
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- Azure OpenAI - GPT models on Azure
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- Anthropic - Claude models
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- Google Vertex AI - PaLM and Gemini models
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- Ollama - Run models locally
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Coming soon:
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- Anthropic Claude
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- Google Gemini
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- Local LLMs
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- Meta Llama
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Each provider offers unique capabilities and model options. See our [Environment Setup](/environment-setup) guide for detailed configuration instructions.
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## Example Repository
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‎example.env

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# LLM provider to use. Options are "openai", "google" (google genai), "vertex", "anthropic", "ollama" or "azure".
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LLM_PROVIDER=google
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OPENAI_API_KEY=OPENAI_API_KEY
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# Model to use for the LLM provider.
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AUTOBROWSE_LLM_MODEL=gemini-2.0-flash-lite
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GOOGLE_API_KEY=GOOGLE_API_KEY
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# To use "openai" as the LLM provider, set following environment variables and keys.
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OPENAI_API_KEY=OPENAI_API_KEY
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# To use "google" GenAI as the LLM provider, set following environment variables and keys.
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GOOGLE_API_KEY=GOOGLE_API_KEY
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# To use "vertex" Google Vertex as the LLM provider, set following environment variables and keys.
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GOOGLE_APPLICATION_CREDENTIALS=credentials.json
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# To use "anthropic" as the LLM provider, set following environment variables and keys.
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ANTHROPIC_API_KEY=ANTHROPIC_API_KEY
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# To use "azure" as the LLM provider, set following environment variables and keys.
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AZURE_OPENAI_API_KEY=AZURE_OPENAI_API_KEY
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AZURE_OPENAI_ENDPOINT=https://yourendpoint.openai.azure.com/
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AZURE_OPENAI_API_VERSION=2024-12-01-preview
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AZURE_OPENAI_API_DEPLOYMENT_NAME=gpt-4o-mini
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# To use "ollama" as the LLM provider, set following environment variables.
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BASE_URL=http://localhost:11434

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