whylabs-monitor

# whylabs-monitor ## Overview WhyLabs integration skill for ML observability, data profile logging, and anomaly detection in production ML systems. ## Capabilities - Data profile generation (whylogs) - Profile upload to WhyLabs platform - Anomaly detection and alerts - Segment analysis for data subsets - Performance monitoring dashboards - Integration with ML pipelines - Historical profile comparison - Custom constraint validation ## Target Processes - Model Performance Monitoring and Drift Detection - ML System Observability and Incident Response ## Tools and Libraries - whylogs - WhyLabs Platform - pandas ## Input Schema ```json { "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["profile", "upload", "compare", "validate", "alert-config"], "description": "WhyLabs action to perform" }, "profileConfig": { "type": "object", "properties": { "dataPath": { "type": "string" }, "datasetId": { "type": "string" }, "segments": { "type": "array", "items": { "type": "string" } }, "timestamp": { "type": "string" } } }, "uploadConfig": { "type": "object", "properties": { "orgId": { "type": "string" }, "modelId": { "type": "string" }, "profilePath": { "type": "string" } } }, "compareConfig": { "type": "object", "properties": { "baselineProfile": { "type": "string" }, ...