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create-leafmesh

Project scaffolding tool for LeafMesh — the YAML-native multi-agent orchestration platform.

Install

pip install create-leafmesh

Create a Project

create-leafmesh create my-project
cd my-project
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python main.py

CLI Options

# Create in a specific directory
create-leafmesh create my-project -o /path/to/dir

# Skip git initialization
create-leafmesh create my-project --no-git

# Interactive mode (prompts for project name)
create-leafmesh create

Generated Project Structure

my-project/
  configs/
    config.yaml              # Agent definitions, mesh wiring, HITL config
  agency/
    greeter_agent.py         # LLM agent with @pre_compose
    processor_agent.py       # Programmatic agent with @conditional_chain
    researcher_agent.py      # LLM agent with @chain_with_results + smart memory
    fallback_researcher_agent.py  # Fast fallback (race pattern)
    advisor_agent.py         # LLM fan-in with @chain + @compose
    scheduler_agent.py       # Cron-scheduled agent
    tools.py                 # Custom tools (@global_tool, @tool)
    external_agents.py       # Integration reference (CrewAI, LangGraph, etc.)
  main.py                    # Entry point
  hitl_stub_receiver.py      # Webhook stub for testing HITL locally
  requirements.txt
  .env                       # API keys
  Dockerfile
  docker-compose.yml         # Redis + app

What's Included

  • 8 agents showcasing all 4 agent types (human, llm, programmatic, external)
  • Human-in-the-Loop (HITL) with dual webhook mode and from_agent routing
  • Fan-in/fan-out with OR expressions (processor AND (researcher OR fallback))
  • Smart memory with hybrid recency/relevance scoring
  • Scheduled agents with cron expressions
  • Custom tools with access control and categories
  • All 5 decorators: @pre_compose, @chain, @chain_with_results, @conditional_chain, @compose
  • HITL test stub (hitl_stub_receiver.py) for local webhook testing
  • Docker-ready with Redis included
  • Full README with HITL walkthrough (2 scenarios, step-by-step)

Requirements

  • Python 3.10+
  • Redis server running (default: localhost:6379)
  • At least one LLM API key (e.g. OPENAI_API_KEY in .env)

Links

License

MIT

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