A2A_demo_project

# A2A_demo_project Project Introduction A2A Code Practice: 1. Supports large models such as openai, deepseek, qwen, etc.; 2. It is an example code for multi-agent collaboration in hotel travel; v1.0 Version Supports large models such as openai, deepseek, qwen, etc.; Author's WeChat Official Account: AI小新 (AI Xiaoxin). If you have questions, you can join the group for discussion [Large Model Application Exchange Group]; Follow the official account and send the number 2 to get the assistant's WeChat and be added to the group; Official Account:  Assistant:  # Deployment Tutorial Note: It is recommended to deploy in a Linux or Mac environment; there may be issues when accessing the A2A web interface in a Windows environment; ```bash # Download the code git clone https://github.com/aixiaoxin123/A2A_demo_project.git ``` # Enter the code directory cd A2A_demo_project # Create a conda environment conda create -n a2a_demo python=3.12 conda activate a2a_demo # Install uv tool pip install uv -i https://pypi.tuna.tsinghua.edu.cn/simple/ uv --version # Use uv to create a virtual environment in the current directory uv venv # Activate the virtual environment # Command for Linux source .venv/bin/activate # Command for Windows .venv\Scripts\activate # uv installs the corresponding dependencies ```bash # Enter the code directory cd a2a_demo # Use uv to install dependencies uv pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/ ``` Screenshot:  # Configure the .env file, fill in the deepseek API key .env Screenshot:  # Start the A2A web UI service ```bash adk web ``` Screenshot of starting web UI:  # Access the web UI service http://127.0.0.1:8000 Screenshot:  # Q&A Example Screenshot: