feat: add reference-free FluencyLLMEval and CoherenceLLMEval descriptors#1834
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…ors (evidentlyai#1801) Add two new LLM-as-a-judge descriptors that evaluate text quality without requiring a reference dataset: - FluencyLLMEval: detects grammatically broken or unnatural responses (FLUENT / NOT_FLUENT) - CoherenceLLMEval: detects logically inconsistent or disorganised responses (COHERENT / INCOHERENT) Changes: - src/evidently/legacy/descriptors/llm_judges.py: add FluencyLLMEval and CoherenceLLMEval V1 classes with full prompt criteria - src/evidently/descriptors/generated_descriptors.py: add public factory functions for both descriptors - src/evidently/descriptors/__init__.py: export both descriptors - tests/features/test_llm_judge.py: add tests for pipeline execution and public import path Closes evidentlyai#1801
…dings, and FAISS retrieval.
Liraim
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May 2, 2026
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Liraim
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Thank you for your contribution and interest in the project!
There is a small change I would like you to make before we merge this PR.
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Please remove this file from PR, as it is not needed in the repository.
We will see successful tests after workflow launch.
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Thanks for the feedback! I’ve removed the file from the PR as requested. Let me know if anything else needs adjustment.
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Summary
Closes #1801
Adds two new reference-free LLM-as-a-judge descriptors that evaluate text quality without requiring a reference dataset or ground-truth answer.
FluencyLLMEvalFLUENT/NOT_FLUENTCoherenceLLMEvalCOHERENT/INCOHERENTMotivation
Many real-world LLM monitoring setups don't have a golden reference to compare against. This PR fills that gap for two common quality dimensions — language fluency and logical coherence — following the same LLM-judge approach already used for
ToxicityLLMEval,BiasLLMEval,PIILLMEval, andDeclineLLMEval(all of which are reference-free).Changes
src/evidently/legacy/descriptors/llm_judges.pyFluencyLLMEval: binary classification prompt (FLUENT/NOT_FLUENT) that checks grammar, natural phrasing, and readabilityCoherenceLLMEval: binary classification prompt (COHERENT/INCOHERENT) that checks logical organization and consistencysrc/evidently/descriptors/generated_descriptors.pyinclude_score,include_reasoning,uncertainty,alias,tests)src/evidently/descriptors/__init__.pyFluencyLLMEvalandCoherenceLLMEvaltests/features/test_llm_judge.pytest_fluency_llm_eval: runs full pipeline viaMockLLMWrapper(no API key required)test_coherence_llm_eval: runs full pipeline viaMockLLMWrapper(no API key required)test_reference_free_evals_importable: verifies public import path fromevidently.descriptorsTests
All existing tests continue to pass, and 3 new tests were added:
Usage
Both descriptors also support
include_score=True,include_reasoning=True, anduncertaintyoptions.