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🤖 AutoInfraOp: The AI DevOps Agent

This project is a powerful demonstration of a modern, tool-based AI agent built with CrewAI and LangChain. The agent acts as an autonomous DevOps assistant, capable of analyzing a public GitHub repository's infrastructure configuration, identifying best-practice violations, and automatically creating detailed issues with AI-generated suggestions for fixes.

This project showcases a practical application of Large Language Models (LLMs) to solve a real-world software engineering problem, bridging the gap between AI and DevOps.

📊 Project in Action

The application features a simple Streamlit UI where a user can input a GitHub repository URL. The agent then begins its analysis, and its final report and actions (the created GitHub issues) can be seen in the target repository.

AutoInfraOp UI

🚀 How to Run This Project

Prerequisites

  • Python 3.10+
  • A Groq API Key.
  • A GitHub Personal Access Token (PAT) with repo scope.

Step 1: Clone and Configure

  1. Clone this repository to your local machine.
  2. Create a file named .env in the root of the project.
  3. Add your secret keys to the .env file like this: 
    GROQ_API_KEY="gsk_..."
GITHUB_PAT="ghp_..."

Step 2: Install Dependencies

From the project's root directory, install all the required Python libraries.

pip install -r requirements.txt

Step 3: Launch the Application Run the Streamlit app from your terminal.

streamlit run app.py

A new browser tab will open with the AutoInfraOp dashboard, ready for you to use!