Saara CLI.
A published local-first CLI and SDK for researching topics, preparing datasets, labeling examples, and validating training data.
What I worked on
Created and maintain the Python package, dataset workflow, and typed research-tool interface, with local model routing and configurable exports.
How the pieces fit
- Use bounded research calls through Firecrawl-local.
- Route generation to local model providers, with a deterministic mock provider for development.
- Label, validate, and export examples in common dataset formats with provenance.
Where it stands
Published as saara-ai on PyPI. The project continues to evolve; optional formats need additional dependencies and generated examples need review.
What I’m taking forward
Useful training data needs provenance and review. Generating more examples is only one part of the workflow.
See the work for yourself
The linked source and documentation give the most useful context for this project’s implementation and scope.
Explore the documentation