Prompt Validation Reference

Prompt validation catches example problems (non-verbatim text, alignment mismatches) early, before expensive extraction runs.

Levels

python

from langextract.prompt_validation import PromptValidationLevel

result = lx.extract(
    text_or_documents=text,
    examples=examples,
    prompt_description=prompt,
    model_id="gemini-2.5-flash",
    prompt_validation_level=PromptValidationLevel.ERROR,
    prompt_validation_strict=True,
)

OFF — skip validation entirely.
WARNING (default) — log issues, continue running.
ERROR — raise on validation failure.

Strict mode

When prompt_validation_strict=True, non-exact matches (fuzzy alignment, accept_match_lesser) also trigger failures in ERROR mode. Without strict mode, only completely unalignable extractions fail.

How it aligns with resolver_params

Prompt validation uses the same alignment settings from resolver_params. So if you've tuned fuzzy_alignment_threshold or fuzzy_alignment_algorithm, validation honors those same values when deciding whether an example extraction is aligned.

When to use each level

Development: ERROR + strict=True forces you to write clean, verbatim examples.
Staging/CI: ERROR (non-strict) catches truly broken examples without failing on minor fuzzy matches.
Production: WARNING or OFF — you've already validated offline and don't want runtime failures over example drift.

Common fixes

"Extraction text not found in example text": your extraction_text doesn't appear verbatim in the example text. Copy-paste the exact substring rather than paraphrasing.
"Extraction text aligned fuzzily" (strict only): same issue but with minor whitespace/punctuation differences. Fix the example to match exactly.