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Enhancements/tests and coverage - #10
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- Added extensive tests for document extraction from various input types including dicts, custom objects, and lists in `test_infra.py`. - Improved LLM parameter extraction tests to validate overrides and defaults. - Enhanced metric logging tests to ensure proper categorization and handling when MLflow is disabled. - Implemented additional tests for async trust score calculations and response generation in `test_trustifai.py`. - Introduced validation checks for missing context attributes in the Trustifai core logic. - Updated embedding computation to handle missing embeddings more effectively. - Enhanced reasoning graph construction to ensure nodes and edges are created correctly based on trust score metrics. - Improved handling of unsupported spans in the LLM-based evidence strategy, including detailed reasoning for decisions. - Refactored online metrics to inherit from `BaseMetric` for consistency. - Updated visualizer to correctly position nodes based on their types.
Bumped litellm version to fix vulnerability raised by github bot.
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