Dockrion

Deploy and manage AI agents with ease.

Dockrion provides a complete toolkit for building, validating, and deploying AI agents powered by LangGraph, LangChain, and other frameworks. Define your agent in a simple YAML file and deploy it anywhere.

🚀 Installation

pip install dockrion

Optional Features

# LangGraph framework support
pip install dockrion[langgraph]

# LangChain framework support
pip install dockrion[langchain]

# Runtime server (FastAPI + Uvicorn)
pip install dockrion[runtime]

# JWT authentication
pip install dockrion[jwt]

# Everything included
pip install dockrion[all]

⚡ Quick Start

1. Initialize a New Project

dockrion init my-agent
cd my-agent

This creates a Dockfile.yaml template:

version: "1.0"

agent:
  name: my-agent
  entrypoint: app.graph:build_agent
  framework: langgraph

io_schema:
  input:
    type: object
    properties:
      messages:
        type: array
  output:
    type: object
    properties:
      response:
        type: string

expose:
  port: 8080

2. Validate Your Configuration

dockrion validate

3. Test Locally

dockrion test --payload '{"messages": [{"role": "user", "content": "Hello!"}]}'

4. Run the Server

dockrion run

Your agent is now accessible at http://localhost:8080.

5. Build & Deploy

# Build Docker image
dockrion build

# Deploy to your infrastructure
dockrion deploy

📦 What's Included

The dockrion package bundles everything you need:

✨ Features

• 🚀 Simple Configuration — Define your agent in a declarative YAML Dockfile
• 🔧 Framework Agnostic — Works with LangGraph, LangChain, and custom frameworks
• 🛡️ Built-in Safety — Policy engine for PII redaction and tool gating
• 📊 Observability — Prometheus metrics and structured JSON logging
• 🔐 Security — JWT authentication and API key support out of the box
• 🐳 Container Ready — Docker-first deployment with auto-generated Dockerfiles
• ⚡ Fast Development — Hot reload and local testing without containers
• 🧪 Testing Tools — Test your agent with payloads before deployment

🔧 CLI Commands

📚 Documentation

For full documentation, examples, and guides:

• 📖 GitHub Repository
• 📋 Installation Guide
• 🏗️ Architecture

🤝 Contributing

We welcome contributions! Please see our GitHub repository for:

• Issue tracking
• Pull request guidelines
• Development setup instructions

👥 Authors

• Paritosh Sharma — paritoshsharma0707@gmail.com
• Prakhar Agarwal — prakhara56@gmail.com

📄 License

Apache-2.0 — See LICENSE for details.