🎯 NeuraOps

A lightweight, modular AI Agent built using LangGraph for workflow orchestration and Groq-powered LLaMA models for ultra-fast inference. Supports multi-step reasoning, tool execution, memory, and structured outputs packaged as a Python backend service.

✨ Features

1. Agentic workflow using LangGraph (stateful nodes + conditional edges)

2. Low-latency LLaMA inference via Groq API

3. Custom tools for retrieval, reasoning, and structured tasks

4. Deterministic multi-step reasoning with LangGraph execution

🚀 Tech Stack

1. Python

2. LangGraph

3. Groq API (LLaMA models)

4. Pydantic

5. Dotenv

✅ Setup Instructions

1. Clone the repository: git clone https://github.com/your-username/your-repo.git

2. cd your-repo

3. Install dependencies: pip install -r requirements.txt

4. Add your environment variables

5. Create a .env file and add your API Key

👀 If you like this project

Feel free to star the repo or open an issue/PR!