# Local

## Summary
Run directly as a Python process on the local machine.

## Best For
- Development and testing
- Simple scripts and utilities
- Quick prototyping
- No infrastructure needed
- CPU-only workloads

## Not For
- Production deployments
- GPU workloads (use modal)
- Scalable APIs (use docker or bentoml)
- Stateful agents (use langgraph)

## Resources
No resource specification needed.

## Interface
function (direct Python import)

## Provider
None (local execution)

