ca2cbfab91
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> • Created DirectLLMEvalAdapter - a lightweight alternative to DeepEval for answer evaluation • Added evaluation prompt files defining scoring criteria and format • Made adapter selectable via evaluation_engine = "DirectLLM" in config, supports "correctness" metric only ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Introduced a new evaluation method that compares model responses against a reference answer using structured prompt templates. This approach enables automated scoring (ranging from 0 to 1) along with brief justifications. - **Enhancements** - Updated the configuration to clearly distinguish between evaluation options, providing end-users with a more transparent and reliable assessment process. <!-- end of auto-generated comment: release notes by coderabbit.ai --> |
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| .. | ||
| metrics | ||
| __init__.py | ||
| base_eval_adapter.py | ||
| deep_eval_adapter.py | ||
| direct_llm_eval_adapter.py | ||
| evaluation_executor.py | ||
| evaluator_adapters.py | ||
| run_evaluation_module.py | ||