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_agentrouting - 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_KEYin.env)
Links
License
MIT
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file create_leafmesh-2.6.10.tar.gz.
File metadata
- Download URL: create_leafmesh-2.6.10.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a2692b0892de0c12a335705872c7d4457fee894547e387175a9194b5d3aeb04b
|
|
| MD5 |
750c1971ff54e33720400bcc211d7466
|
|
| BLAKE2b-256 |
2e8dae0983bd0216da7bd659786c7ba89aa3db434eb5e5f9664e123fffb039c5
|
File details
Details for the file create_leafmesh-2.6.10-py3-none-any.whl.
File metadata
- Download URL: create_leafmesh-2.6.10-py3-none-any.whl
- Upload date:
- Size: 1.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f79cc90fc1e97a4dee634e44008dcdb6a343fde90ceaad605f79044a952ce0e
|
|
| MD5 |
d01ab7fee9bcf8c8b38063029221a735
|
|
| BLAKE2b-256 |
bc14e614be43cf77990fb9ad3001471d881c86b4b3a7b24527a8a50c91eb62b9
|
