tool_brave

README

Brave Search Tool Example

This example demonstrates how to use the Brave Search tool with LangGraphGo to create an AI agent that can search the web using Brave's privacy-focused search API.

Prerequisites

1. Get your Brave Search API key from Brave Search API
2. Get an LLM API key (OpenAI or DeepSeek)

Setup

Set up your environment variables:

export BRAVE_API_KEY="your-brave-api-key"
export OPENAI_API_KEY="your-openai-api-key"
# OR
export DEEPSEEK_API_KEY="your-deepseek-api-key"

Run

go run main.go

How It Works

1. Initialize the LLM: Creates an OpenAI-compatible LLM client
2. Initialize the Tool: Creates a Brave Search tool with custom options:
   • Count: Number of results to return (1-20)
   • Country: Country code for localized results
   • Lang: Language code for search results
3. Create ReAct Agent: Combines the LLM and tool into a ReAct agent
4. Run the Agent: Sends a query and gets the response

Customization

You can customize the Brave Search tool with various options:

braveTool, err := tool.NewBraveSearch("",
    tool.WithBraveCount(10),           // Number of results (1-20)
    tool.WithBraveCountry("CN"),       // Country code
    tool.WithBraveLang("zh"),          // Language code
)

Benefits of Brave Search

• Privacy-focused: No tracking or profiling
• Independent: Not reliant on Google or Bing
• Fresh results: Real-time web search
• Global coverage: Supports multiple countries and languages