Agentic DevOps Copilot 🤖🚀

Autonomous multi-agent system for repository analysis, security risk assessment, and intelligent patch generation.

📖 Overview

Agentic DevOps Copilot is a next-generation developer tool that uses LangGraph agents and Retrieval-Augmented Generation (RAG) to autonomously inspect your codebase. It doesn't just find problems; it understands context, assesses risks, and proposes code patches.

Key Capabilities

• 🕵️‍♂️ Autonomous Repo Analysis: Parses file structures (AST) and understands dependencies.
• 🛡️ Security Risk Assessment: Detects hardcoded secrets, Docker vulnerabilities, and misconfigurations.
• 🧠 RAG-Powered Context: Uses Qdrant vector search to answer questions based on your specific codebase.
• ⚡ Intelligent Patching: Generates ready-to-merge fixes for identified issues.
• ✨ Modern Dashboard: A glassmorphic Next.js UI for interactive chat and report visualization.

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🛠️ Technology Stack

Component	Tech	Description
Orchestration	LangGraph	Multi-step agent state management and loops.
Backend	FastAPI	High-performance Python API.
Frontend	Next.js 14	App Router, Server Actions, Framer Motion.
Vector DB	Qdrant	Semantic search for code and documentation.
LLM	OpenAI	GPT-4o / GPT-3.5-Turbo for reasoning.
Tools	MCP	Model Context Protocol for tool standardization.

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🚀 Getting Started

Prerequisites

• Python 3.11+
• Node.js 20+
• Docker & Docker Compose
• OpenAI API Key

1. Start Infrastructure (Vector DB)

docker-compose up -d

2. Configure Environment

Create a .env file in the root directory:

OPENAI_API_KEY=sk-your-key-here
QDRANT_HOST=localhost
QDRANT_PORT=6333
QDRANT_COLLECTION_NAME=devops_copilot

3. Start Backend

# Create virtual environment (optional but recommended)
python -m venv venv
.\venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the API Server
python -m uvicorn app.main:app --reload

Backend runs on http://localhost:8000

4. Start Frontend

cd frontend
npm install
npm run dev

Frontend runs on http://localhost:3000

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🎮 Usage

1. Open the dashboard at http://localhost:3000.
2. Analyze a Repo: Paste a local path (e.g., C:/Projects/MyApp) or a GitHub URL.
3. Demo Mode: Click the "Demo" button in the search bar to simulate a full security scan with sample data.
4. Review Risks: Check the "Risk Assessment" card for critical findings.
5. Apply Patches: Review generated code fixes for vulnerabilities.

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🛣️ Roadmap

• Repo Parsing & Structure Analysis
• Basic Security Risk Agent
• RAG Pipeline with Qdrant
• Glassmorphic UI Dashboard
• Integration with GitHub Issues / PRs
• Support for Local LLMs (Ollama)
• Kubernetes Manifest Validation

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.