A2AProtocolExample

# A2A Agent Collaboration Demo This project demonstrates agent-to-agent collaboration using A2A protocol, LangChain, OpenAI, and FastAPI. It showcases how two specialized agents (Research and Writing) can work together to create content. ## Features - Research Agent: Gathers and analyzes information about topics - Writing Agent: Creates engaging content based on research - FastAPI backend for easy integration - OpenAI GPT-4 integration - A2A protocol for agent communication ## Setup 1. Create a virtual environment: ```bash python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate ``` 2. Install dependencies: ```bash pip install -r requirements.txt ``` 3. Create a `.env` file with your OpenAI API key: ``` OPENAI_API_KEY=your_api_key_here ``` 4. Run the application: ```bash python main.py ``` ## API Endpoints ### POST /research Research a topic and generate content. Request body: ```json { "topic": "Artificial Intelligence", "max_points": 5 } ``` Response: ```json { "research_points": [ "Point 1", "Point 2", ... ], "content": "Generated content based on research..." } ``` ## How it Works 1. The Research Agent gathers information about the specified topic 2. The Writing Agent takes the research and creates engaging content 3. Both agents communicate using the A2A protocol 4. The final result includes both research points and generated content ## Technologies Used - LangChain - OpenAI GPT-4 - FastAPI - A2A Protocol - Python 3.8+