🧠 LLaMA3 Chatbot with LangGraph

A conversational AI assistant built using LangGraph, LangChain, and the blazing-fast Groq API. This project uses LLaMA3 (70B) to create a responsive, memory-enabled chatbot that runs in a loop and gracefully exits on command.

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🚀 Features

• ✅ Stateful, node-based conversation flow using LangGraph
• 💬 Supports memory with ConversationBufferWindowMemory
• ⚙️ Runs with LLaMA 3 via Groq API
• 👋 Graceful exit on Ctrl+C or by typing exit or quit
• 📜 Clean, modular Python code with type annotations

🔧 Configuration :

• os.environ["GROQ_API_KEY"] = "your-groq-api-key-here"
• model_name="your-desired-model-name"

🙋‍♂️ Contributing:

Contributions are welcome! Feel free to fork, create issues, or submit pull requests with improvements.

📦 Installation

1. Clone the repo

   git clone https://github.com/yourusername/llama3-chatbot-graph.git
   cd llama3-chatbot-graph