Metadata-Version: 2.1
Name: ai-term
Version: 0.0.1rc4
Summary: A powerful CLI tool for AI interactions
Home-page: https://github.com/ryaneggz/ai-term
Author: Ryan Eggleston
Author-email: ryaneggleston@promptengineers.ai
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: python-dotenv
Requires-Dist: langgraph
Requires-Dist: langchain_anthropic
Requires-Dist: langchain_openai
Requires-Dist: langchain-community
Requires-Dist: langchain-experimental
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: twine; extra == "dev"
Requires-Dist: build; extra == "dev"

# Graph Agent Template 🤖

LangGraph Bot is a Python-based chatbot application that utilizes the LangGraph and LangChain libraries to process and respond to user inputs. The bot is designed to handle conversational flows and can be configured to use different language models.

## Features

- Stream processing of user inputs and bot responses.
- Visualization of state graphs using Mermaid.
- Configurable session management for chat history.
- Integration with OpenAI's GPT-4o, or Claude 3.5 Sonnet model.

## Prerequisites

- Python 3.10 or higher
- Access to OpenAI API (for GPT-4o model) or Anthropic API (for Claude 3.5 Sonnet)

## Installation

1. **Clone the repository:**

   ```bash
   git clone https://github.com/ryaneggz/langgraph-template.git
   cd langgraph-template
   ```

2. **Set up a virtual environment using `uv venv`:**

   ```bash
   python -m venv .venv
   source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`
   ```

3. **Install the dependencies:**

   ```bash
   pip install -r requirements.txt
   ```

## Configuration

1. **Create a configuration directory:**

   ```bash
   ai --env
   ```

## Usage

**Run the application:**

   To start the chatbot, run the following command:

   ```bash
   source .env && python main.py
   ```

   The bot will start a chat loop where you can input messages. Type "quit", "exit", or "q" to end the session.

# Project Documentation

This project includes tools for running shell commands and Docker container operations. For detailed information, please refer to the following documentation:

- [Tools Documentation](./docs/tools.md)
- [Docker Compose Configuration](./docs/docker-compose.md)
- [Human-In-The-Loop](https://langchain-ai.github.io/langgraph/how-tos/create-react-agent-hitl/#usage)


## Contributing

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

Distributed under the MIT License. See `LICENSE` for more information.
