falaw.corpus#

Extract model records from misc/docs/llms-full.txt.

The fal.ai llms-full.txt has a regular structure:

## <Section heading> <paragraph>

### <Model name>

  • Model: fal-ai/<id>

  • Purpose: <one-liner>

  • Features: <details>

We map the section to a category, infer a quality tier from the model name, and emit ModelRecord-shaped dicts the registry can consume. The refresh_models_from_corpus tool merges these into data/models.json, adding new models without overwriting hand-curated entries.

Functions

extract_models_from_corpus(path)

Yield ModelRecord-shaped dicts parsed from llms-full.txt.

refresh_models_from_corpus(*[, path, write])

Merge corpus-discovered models into models.json (additive).
falaw.corpus.extract_models_from_corpus(path)[source]#

Yield ModelRecord-shaped dicts parsed from llms-full.txt.

Return type:

Iterator[dict]

falaw.corpus.refresh_models_from_corpus(*, path=None, write=False)[source]#

Merge corpus-discovered models into models.json (additive).

Returns {added, total, from_corpus, write} summary. Setting write=False (the default) reports what would change without touching the file.

Return type:

dict