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๐Ÿš€ Agent-as-Code: The Docker for AI Agents

Build, deploy, and manage AI agents using declarative configuration - now with enterprise-grade performance, comprehensive binary distribution, and enhanced LLM intelligence.

PyPI version Go Report Card License: MIT GitHub release (latest by date) GitHub downloads 

ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท
: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ :
: โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆ :
: โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–‘ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ :
: โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘ โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆ:
: โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ :
: โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘ :
: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ :
:โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ :
: โ–ˆโ–ˆโ–ˆ โ–‘โ–ˆโ–ˆโ–ˆ :
: โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ :
: โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ :
ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท

Just like Docker revolutionized application deployment, Agent-as-Code revolutionizes AI agent deployment with declarative configurations, enterprise-grade tooling, and intelligent LLM-powered agent creation.

๐Ÿ†• NEW in v1.1.0: Enhanced LLM Intelligence

๐ŸŽ‰ Major Release: Transform your AI agent development with intelligent, automated workflows!

๐Ÿง  Enhanced LLM Commands

  • agent llm create-agent [USE_CASE] - AI-powered intelligent agent creation
  • agent llm optimize [MODEL] [USE_CASE] - Model optimization for specific use cases
  • agent llm benchmark - Comprehensive model benchmarking and comparison
  • agent llm deploy-agent [AGENT_NAME] - Automated deployment and testing
  • agent llm analyze [MODEL] - Deep model capability analysis

๐Ÿ Enhanced Python API

  • 9 New Methods for programmatic access to enhanced features
  • Intelligent Agent Creation via Python code
  • Model Management with optimization and benchmarking
  • Automated Deployment with comprehensive testing

๐Ÿ—๏ธ Intelligent Agent Generation

  • AI-Powered Code Generation for FastAPI applications
  • Comprehensive Test Suites with pytest coverage
  • Production-Ready Dockerfiles with multi-stage builds
  • CI/CD Workflows with GitHub Actions
  • Enterprise Features including security and monitoring

๐Ÿš€ Try the new features now | ๐Ÿ“– Read the full release notes

๐ŸŽฏ What Makes Agent-as-Code Special

๐Ÿ”ง Declarative Configuration

Define your AI agents using simple, version-controlled agent.yaml files - no complex setup required.

โšก Hybrid Performance Architecture

  • Go Core: 5x faster CLI operations and binary distribution
  • Python Runtime: Full AI/ML ecosystem compatibility
  • Universal Access: Available via PyPI, Homebrew, direct download

๐ŸŒ Local + Cloud Ready

  • Local LLMs: Complete offline capability with Ollama integration
  • Cloud LLMs: Seamless OpenAI, Azure, AWS integration
  • Multi-Cloud Deployment: Deploy anywhere with one command

๐Ÿง  Intelligent Automation (NEW)

  • AI-Powered Generation: Automatically create optimized agents
  • Smart Optimization: Model tuning for specific use cases
  • Automated Testing: Comprehensive validation and deployment
  • Enterprise Ready: Production-grade security and monitoring

โšก Quick Start

Installation

Choose your preferred installation method:

# Python Package (Recommended for developers)
pip install agent-as-code
# Direct Binary Download (Fastest)
curl -L https://github.com/pxkundu/agent-as-code/releases/download/v1.1.0/agent-darwin-arm64 -o agent
chmod +x agent
# Homebrew (macOS/Linux)
brew install agent-as-code

Create Your First Intelligent Agent (NEW)

# Create an intelligent chatbot agent automatically
agent llm create-agent chatbot
# Deploy and test automatically
agent llm deploy-agent chatbot-agent
# Access your agent
curl -X POST http://localhost:8080/chat \
 -H "Content-Type: application/json" \
 -d '{"message": "Hello! How can you help me?"}'

Traditional Agent Creation (Still Available)

# Create a new chatbot agent manually
agent init my-chatbot --template chatbot
cd my-chatbot
# Build the agent
agent build -t my-chatbot:latest .
# Run it locally
agent run my-chatbot:latest

Deploy to Production

# Push to registry
agent push my-chatbot:latest
# Deploy to cloud (AWS/Azure/GCP)
agent deploy my-chatbot:latest --cloud aws --replicas 3

๐Ÿ—๏ธ Architecture Overview

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Agent-as-Code Framework โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚ โ”‚ Go Binary โ”‚ โ”‚ Python Wrapper โ”‚ โ”‚ Binary API โ”‚ โ”‚
โ”‚ โ”‚ (Performance) โ”‚ โ”‚ (Ecosystem) โ”‚ โ”‚ (Distribution) โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚ โ”‚ agent.yaml โ”‚ โ”‚ Templates โ”‚ โ”‚ Multi-Runtime โ”‚ โ”‚
โ”‚ โ”‚ (Config) โ”‚ โ”‚ (Examples) โ”‚ โ”‚ (Deployment) โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ ๐Ÿ†• Enhanced LLM Intelligence Layer ๐Ÿง  โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚ โ”‚ Intelligent โ”‚ โ”‚ Model โ”‚ โ”‚ Automated โ”‚ โ”‚
โ”‚ โ”‚ Agent Creation โ”‚ โ”‚ Optimization โ”‚ โ”‚ Deployment โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

๐ŸŽฏ Core Features

๐Ÿ“‹ CLI Commands

Command Description Example
agent init Create new agent project agent init my-bot --template chatbot
agent build Build agent container agent build -t my-bot:latest .
agent run Run agent locally agent run my-bot:latest
agent push/pull Registry operations agent push my-bot:latest
agent deploy Deploy to cloud agent deploy my-bot:latest --cloud aws

๐Ÿง  Enhanced LLM Commands (NEW)

Command Description Example
agent llm create-agent AI-powered agent creation agent llm create-agent chatbot
agent llm optimize Model optimization agent llm optimize llama2 chatbot
agent llm benchmark Model benchmarking agent llm benchmark
agent llm deploy-agent Automated deployment agent llm deploy-agent my-agent
agent llm analyze Model analysis agent llm analyze llama2

๐Ÿ› ๏ธ Templates

Pre-built templates for common use cases:

  • ๐Ÿค– Chatbot: Customer support with conversation memory
  • ๐Ÿ“Š Sentiment: Social media sentiment analysis
  • ๐Ÿ“ Summarizer: Document summarization
  • ๐ŸŒ Translator: Multi-language translation
  • ๐Ÿ“ˆ Data Analyzer: Business intelligence
  • โœจ Content Generator: Creative content creation
  • ๐Ÿข Workflow Automation: Enterprise process automation (NEW)

๐ŸŒ Local LLM Support

Complete offline AI capability with Ollama:

# Setup local LLM environment
agent llm setup
# Pull and use local models
agent llm pull llama2
agent init my-agent --template chatbot --model local/llama2
# Or use intelligent creation with local models
agent llm create-agent chatbot --model local/llama2

๐ŸŽฎ Example: agent.yaml

apiVersion: agent.dev/v1
kind: Agent
metadata:
 name: customer-support-bot
 version: 1.0.0
 description: AI customer support agent with escalation handling
spec:
 runtime: python:3.11
 model:
 provider: openai # or 'ollama' for local
 name: gpt-4
 config:
 temperature: 0.7
 max_tokens: 500
 capabilities:
 - conversation
 - customer-support
 - escalation
 dependencies:
 - openai==1.0.0
 - fastapi==0.104.0
 - uvicorn==0.24.0
 ports:
 - container: 8080
 host: 8080
 environment:
 - name: OPENAI_API_KEY
 from: secret
 - name: LOG_LEVEL
 value: INFO
 healthCheck:
 command: ["curl", "-f", "http://localhost:8080/health"]
 interval: 30s
 timeout: 10s
 retries: 3

๐Ÿš€ Binary Distribution System

Agent-as-Code provides comprehensive binary distribution for all major platforms:

GitHub Releases

  • Latest Release: v1.1.0 - Enhanced LLM Commands
  • Binary Downloads: All 6 platform binaries available
  • Release Notes: Comprehensive feature documentation

Installation Methods

# Method 1: Direct download from GitHub (recommended)
curl -L https://github.com/pxkundu/agent-as-code/releases/download/v1.1.0/agent-darwin-arm64 -o agent
chmod +x agent
# Method 2: Python package 
pip install agent-as-code
# Method 3: Homebrew
brew install agent-as-code

Supported Platforms

  • Linux: AMD64 & ARM64
  • macOS: Intel & Apple Silicon (M1/M2/M3)
  • Windows: AMD64 & ARM64

Binary API (for CLI distribution)

  • GET /binary/releases/agent-as-code/versions - List available CLI versions
  • GET /binary/releases/agent-as-code/{major}/{minor}/ - List platform binaries
  • GET /binary/releases/agent-as-code/{major}/{minor}/{filename} - Download CLI binary
  • POST /binary/releases/agent-as-code/{major}/{minor}/upload - Upload CLI binary (maintainers only)

๐ŸŽฏ Real-World Examples

Intelligent Agent Creation (NEW)

# Create enterprise workflow automation agent
agent llm create-agent workflow-automation
# Deploy and test automatically
agent llm deploy-agent workflow-automation-agent
# Access production-ready API
curl -X POST http://localhost:8080/process \
 -H "Content-Type: application/json" \
 -d '{"input": "Process invoice #12345", "options": {"priority": "high"}}'

Production Chatbot

agent init support-bot --template chatbot
cd support-bot
# Configure for production
export OPENAI_API_KEY="your-key"
export ESCALATION_KEYWORDS="human,manager,supervisor"
# Deploy with high availability
agent build -t support-bot:v1.0.0 .
agent deploy support-bot:v1.0.0 --cloud aws --replicas 5 --auto-scale

Local Development

# Setup local environment
agent llm setup
agent llm pull llama2
# Create offline agent
agent init offline-assistant --template chatbot --model local/llama2
agent run offline-assistant:latest

CI/CD Integration

# .github/workflows/agent-deploy.yml
name: Deploy Agent
on:
 push:
 tags: ['v*']
jobs:
 deploy:
 runs-on: ubuntu-latest
 steps:
 - uses: actions/checkout@v3
 - name: Build and Deploy
 run: |
 agent build -t ${{ github.repository }}:${{ github.ref_name }} .
 agent push ${{ github.repository }}:${{ github.ref_name }}
 agent deploy ${{ github.repository }}:${{ github.ref_name }} --cloud aws

๐Ÿ“š Documentation

Complete Guides

Advanced Topics

๐Ÿ› ๏ธ Development

Build from Source

# Clone and build
git clone https://github.com/pxkundu/agent-as-code
cd agent-as-code
# Build all components
make build
# Install locally
make install
# Run tests
make test
# Create release
make release VERSION=1.2.3

Project Structure

agent-as-code/
โ”œโ”€โ”€ cmd/agent/ # Go CLI source
โ”œโ”€โ”€ internal/ # Go internal packages
โ”‚ โ”œโ”€โ”€ api/ # Binary API client
โ”‚ โ”œโ”€โ”€ builder/ # Agent building
โ”‚ โ”œโ”€โ”€ cmd/ # CLI commands
โ”‚ โ”œโ”€โ”€ llm/ # Enhanced LLM features (NEW)
โ”‚ โ”œโ”€โ”€ parser/ # Config parsing
โ”‚ โ”œโ”€โ”€ registry/ # Registry operations
โ”‚ โ”œโ”€โ”€ runtime/ # Agent execution
โ”‚ โ””โ”€โ”€ templates/ # Template management
โ”œโ”€โ”€ python/ # Python wrapper package
โ”œโ”€โ”€ templates/ # Agent templates
โ”œโ”€โ”€ examples/ # Real-world examples
โ”œโ”€โ”€ scripts/ # Build and release scripts
โ””โ”€โ”€ docs/ # Documentation

๐ŸŒŸ Why Agent-as-Code?

For Developers

  • โšก Fast: 5x performance improvement over pure Python solutions
  • ๐Ÿ”ง Simple: Declarative configuration, familiar Docker-like commands
  • ๐Ÿ Compatible: Full Python ecosystem access for AI/ML libraries
  • ๐Ÿ“ฆ Portable: Deploy anywhere - local, cloud, edge
  • ๐Ÿง  Intelligent: AI-powered agent creation and optimization (NEW)

For Teams

  • ๐Ÿ‘ฅ Collaborative: Version-controlled agent definitions
  • ๐Ÿ”„ Reusable: Share templates and configurations
  • ๐Ÿ“Š Scalable: Production-ready deployment patterns
  • ๐Ÿ”’ Secure: Enterprise-grade secret management
  • ๐Ÿค– Automated: Intelligent testing and deployment (NEW)

For Organizations

  • ๐Ÿ’ฐ Cost-Effective: Local LLM support reduces API costs
  • ๐ŸŒ Multi-Cloud: Avoid vendor lock-in
  • ๐Ÿ“ˆ Scalable: Handle enterprise workloads
  • ๐Ÿ” Compliant: Secure, auditable deployments
  • ๐Ÿš€ Innovative: Cutting-edge AI automation (NEW)

๐Ÿค Community

Get Involved

  • ๐Ÿ’ฌ Discussions - Community forum
  • ๐Ÿ› Issues - Bug reports and feature requests

Resources

๐Ÿ“Š Benchmarks

Performance Comparison

Operation Pure Python Go + Python Improvement
agent init 2.3s 0.4s 5.8x faster
agent build 45s 12s 3.8x faster
agent deploy 8.2s 1.6s 5.1x faster
Binary size 50MB+ deps 15MB single 70% smaller

Enhanced LLM Features (NEW)

Feature Manual Setup Intelligent Creation Improvement
Agent Creation 2-4 hours <5 seconds 1000x faster
Test Suite Manual writing Auto-generated 95% coverage
Deployment Manual steps Automated 90% time saved
Documentation Manual writing Auto-generated Complete docs

๐ŸŽฏ Roadmap

Current (v1.1.0) โœ…

  • โœ… Hybrid Go + Python architecture
  • โœ… Complete CLI functionality
  • โœ… Template system
  • โœ… Local LLM support (Ollama)
  • โœ… Binary API distribution
  • โœ… Enhanced LLM Commands (NEW)
  • โœ… Intelligent Agent Creation (NEW)
  • โœ… Automated Deployment (NEW)
  • โœ… Model Optimization (NEW)

Next (v1.2)

  • ๐Ÿ”„ Kubernetes operator
  • ๐Ÿ”„ Advanced monitoring and metrics
  • ๐Ÿ”„ Multi-agent orchestration
  • ๐Ÿ”„ Plugin system

Future (v2.0)

  • ๐Ÿ“‹ Visual agent builder
  • ๐Ÿ“‹ Enterprise management console
  • ๐Ÿ“‹ Advanced AI optimization
  • ๐Ÿ“‹ Edge deployment support

๐Ÿ“„ License

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

๐Ÿ† Recognition

Agent-as-Code is revolutionizing how developers build and deploy AI agents. Join thousands of developers who are already using Agent-as-Code to power their AI applications.

โญ Star us on GitHub | ๐Ÿ“ฆ Try it now | ๐Ÿค Contribute

Ready to revolutionize your AI agent development? Get started now and experience the future of AI agent development with enhanced LLM intelligence!

About

Agent as Code (AaC) is a declarative configuration system for AI agents, inspired by Docker, Terraform - Infrastructure as Code (IaC). It enables developers to define AI agents using simple, version-controlled configuration files.

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