Add LLM-as-Judge task success evaluation to optimizer - #4
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MahtabSarvmaili wants to merge 22 commits into
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Add LLM-as-Judge task success evaluation to optimizer#4MahtabSarvmaili wants to merge 22 commits into
MahtabSarvmaili wants to merge 22 commits into
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added 5 commits
July 17, 2025 20:02
…multi-server processing support
…ness of user requested task.
added 17 commits
July 28, 2025 11:08
- evaluting the "is_sucessful" based on the LLM as Judge output - removing the corret tool - removing the limitation on the number of successful and failed samples for optimization
- extracting the user's queries from the trace file
- Updated response extraction - Updated core_trace_process.py to use new extraction functions - Added helper functions for detecting different span types
- sorting the successful and failed examples based on the scores
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Implement LLMJudgeSuccess evaluator for automatic task completion assessment Add server-specific optimization with automatic server detection Enhanced documentation with evaluation criteria and output format