AgentSuite

AgentSuite is a versatile agent-based system that enables interaction with different types of AI agents through a streamlined web interface. The suite includes document summarization, chat capabilities, and codespace analysis features.

Features

• Multiple Agent Types:
  • Chat Agent: Interactive conversations with LLM models
  • Document Summarization Agent: Summarize various document formats
  • Codespace Guru: Analyze and understand code repositories
• Conversation Management: Save and load chat conversations
• Document Support: Handle PDF, DOCX, CSV, and text files
• Local LLM Integration: Uses Ollama for local model inference
• Web Interface: Built with Streamlit for easy interaction

Prerequisites

• Python 3.x
• Ollama installed and running locally
• Git (for cloning the repository)

Installation

1. Clone the repository:

git clone https://github.com/LR-CP/AgentSuite.git
cd AgentSuite

2. Run the setup script to create a virtual environment and install dependencies:

python setup.py

3. Activate the virtual environment:

On Windows:

.\venv\Scripts\activate

On Unix/MacOS:

source venv/bin/activate

Configuration

1. Ensure Ollama is running locally on http://localhost:11434 (or another IP if being hosted externally)
2. Default model is set to llama3.2 - you can change this in the UI

Running the Application

1. Make sure your virtual environment is activated
2. Start the Streamlit app:

streamlit run main.py

3. Open your browser and navigate to http://localhost:8501

Usage

Chat Agent

• Select "ChatAgent" from the sidebar
• Type messages in the chat input
• Save conversations with custom names
• Load previous conversations

Document Summarization

• Select "SummarizeDocAgent" from the sidebar
• Upload supported documents (PDF, DOCX, CSV, TXT)
• Get AI-generated summaries

Codespace Guru

• Select "CodespaceGuru" from the sidebar
• Choose a code repository folder
• Get insights and analysis about the codebase
• Ask specific questions about the code

Project Structure

AgentSuite/
├── agents/           # Agent implementations
├── conversations/    # Saved chat conversations
├── core/            # Core functionality
├── factory/         # Agent creation and storage
├── tools/           # Tool implementations
├── ui/              # Streamlit interface
└── vector_db/       # Vector database storage

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Support

For support, please open an issue in the GitHub repository.