Multi-Tool Agent

A Python project for creating conversational AI agents using Google's Gemini models.

Overview

This project demonstrates how to create a simple conversational agent using Google's ADK (Agent Development Kit) and Gemini models. The agent can be configured to chat with users in a helpful, friendly manner.

Features

• Simple conversational agent implementation
• Uses Google's Gemini 2.0 Flash model
• Easy to extend with additional tools and capabilities

Requirements

• Python 3.8+
• Google AI SDK
• Google API key or Vertex AI access

Setup

1. Clone this repository
2. Create a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   

3. Install dependencies:

   pip install google-generativeai
   

4. Configure your environment variables in .env file:

   # For Google AI Studio
   GOOGLE_GENAI_USE_VERTEXAI=False
   GOOGLE_API_KEY=your-api-key
   
   # For Vertex AI
   # GOOGLE_CLOUD_PROJECT="your-project-id"
   # GOOGLE_CLOUD_LOCATION="your-location"
   # GOOGLE_GENAI_USE_VERTEXAI=True
   

Usage

from multi_tool_agent.agent import root_agent

# Use the agent
response = root_agent.generate_content("Hello, how can you help me?")
print(response.text)

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.