agent2agent

# Agent to Agent with Gemini CLI, Claude Code and Ollama models 🤖 **Hybrid AI Agent Dialogue Desktop Application** The Ollama A2A App is a desktop application that combines local LLMs from Ollama with the Gemini and Claude APIs, enabling dialogue between multiple AI agents. By having two agents, an analyst and an evaluator, engage in discussions, the app aims to extract multifaceted perspectives and deeper insights that a single AI cannot provide. ## ✨ Key Features - **🔄 Hybrid AI Dialogue**: Freely combine Ollama's local models with the Gemini and Claude cloud APIs for dialogue. - **🖥️ Intuitive GUI**: A simple and lightweight interface built with Python's standard tkinter library. - **📝 Markdown Export**: Easily save the dialogue history in an organized Markdown format. - **⚙️ Flexible Configuration**: Set the models used for dialogue, the number of discussion rounds, and the timeout for each response flexibly from the GUI. - **🌍 Cross-Platform**: Works on macOS and Linux. - **🚀 Easy Setup**: Uses the latest Python package management tool `uv`, allowing you to set up and launch the environment with a single command. ## 🛠️ System Requirements - **OS**: macOS or Linux - **Python**: 3.12 or later - **uv**: Must be [installed](https://astral.sh/uv/install.sh) - **Ollama**: The latest version must be installed and the service must be running - **Important**: The context size (number of tokens) for Ollama models varies by model. If the "timeout (seconds)" specified in the settings or the internal values of `num_ctx` and `num_predict` exceed the model's maximum token count, the application may crash or behave unexpectedly. Please check the recommended context size for your Ollama model and set appropriate values. ## 🚀 Setup & Execution ### 1. Prepare Ollama First, install Ollama from the [official website](https://ollama.com/) and start the service. ```bash # Start the Ollama service (run in terminal) ollama serve ``` Next, download the models you want to use in the dialogue. ```bash # Example: Download lightweight and high-performance models ollama pull llama3:8b ollama pull gemma:7b ``` ### 2. Set Up and Launch the Application In the directory where you cloned or downloaded the repository, run the following commands. ```bash # 1. Create a virtual environment uv venv # 2. Install the project (dependencies will be installed simultaneously) uv pip install -e . # 3. Launch the application uv run ollama_a2a_app/main.py ``` The `uv run` command directly executes the script using Python within the virtual environment. ### 3. Set API Key (Optional) If you are using Gemini or Claude models, you will need to set the API key. 1. Click the `⚙️ Settings` button in the upper right corner of the application. 2. Enter the Gemini or Claude API key in the dialog that appears and press the "Save" button. 3. The API key will be securely saved in a file named `.gemini_api_key` or `.claude_api_key` in the project root. ## 📄 License This project is licensed under the **Apache License 2.0**.