0.3.4

agentinit

A CLI tool to scaffold production-ready LLM agent projects in seconds.

Stop copy-pasting boilerplate. Run one command and get a fully structured, framework-specific agent project ready to run.

Install

pip install agentinit

Usage

agentinit init my-project --framework langgraph --llm openai

Supported Frameworks

Supported LLM Providers

Generated Project Structure

my-project/
├── agents/
│   └── base_agent.py    # framework-specific agent logic
├── tools/
│   └── sample_tool.py   # sample tool stub
├── config/
│   └── config.yaml      # llm and project config
├── Dockerfile           # ready to containerize
├── main.py              # entry point
├── .env.example         # environment variable template
└── requirements.txt     # dependencies for chosen framework

Commands

Scaffold a new project

agentinit init <project-name> --framework <framework> --llm <provider>

Add a new agent to an existing project

cd my-project
agentinit add-agent researcher --framework langgraph

List all supported frameworks and providers

agentinit list-frameworks

Examples

# LangGraph with OpenAI
agentinit init my-agent --framework langgraph --llm openai

# CrewAI with Anthropic
agentinit init my-crew --framework crewai --llm anthropic

# AutoGen with Groq
agentinit init my-autogen --framework autogen --llm groq

# Google ADK with Gemini
agentinit init my-adk --framework google_adk --llm gemini

# OpenAI Agents SDK with Azure
agentinit init my-openai-agent --framework openai_agents --llm azure

# Smolagents with Bedrock
agentinit init my-smol --framework smolagents --llm bedrock

Getting Started After Scaffolding

cd my-project
cp .env.example .env       # add your API keys
pip install -r requirements.txt
python main.py

License

MIT