Add GEPA Optimize_Anything skill eval and optimize Capability for Skill evaluation#166
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auschoi96 wants to merge 24 commits intodatabricks-solutions:mainfrom
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Add GEPA Optimize_Anything skill eval and optimize Capability for Skill evaluation#166auschoi96 wants to merge 24 commits intodatabricks-solutions:mainfrom
auschoi96 wants to merge 24 commits intodatabricks-solutions:mainfrom
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… add examples from MLflow traces or manual
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a significant portion of the lines from this comes from the generated yaml files, manifest, ground_truth and candidates |
Add 7-lakehouse-monitoring.md reference file covering quality monitors, profile types (Snapshot, TimeSeries, InferenceLog), MCP tool usage, and Python SDK examples. Update SKILL.md with trigger condition and reference table entry. Tested against a live Databricks workspace - created and verified a snapshot monitor on a Unity Catalog table.
- SKILL.md: updated trigger bullet and reference table to data profiling - Renamed 7-lakehouse-monitoring.md to 7-data-profiling.md with new w.data_quality SDK examples - Added new Data Quality docs and SDK references, kept legacy Lakehouse Monitoring SDK link for backward compatibility
…ently. This is because tools are used universally so we may not be able to optimize the two together
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This PR touches many files, but most are data, not code:
For a full explanation of what's happening, check out the read me in .test/README.md |
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Addition to the .test file to support GEPA optimization and skill evaluation. Added a README to explain how to use this