learning_ai_common_plat/services
saravanakumardb1 40db19a389 feat(mcp-server): Add 2 high-priority A2A pipelines
- regression-watch-pipeline.ts: Monitor error clusters and auto-create diagnostics sessions
- post-incident-cleanup-pipeline.ts: Resolve clusters, delete policies, export audit logs
- a2a-tools.ts: Register both pipelines as MCP tools (a2a.regressionWatch, a2a.postIncidentCleanup)
- Fix platform-client function names and TelemetryCluster interface usage
- Both pipelines support dryRun mode and proper error handling
- Fix ESLint warnings: remove unused imports, add proper types

All tools require admin role and use existing platform-service endpoints.
2026-03-05 22:07:42 -08:00
..
extraction-service fix(jobs): implement stub job handlers with actual functionality 2026-03-02 10:19:15 -08:00
mcp-server feat(mcp-server): Add 2 high-priority A2A pipelines 2026-03-05 22:07:42 -08:00
monitoring fix(monitoring): update health-check endpoints for consolidated services 2026-02-17 20:53:37 -08:00
platform-service feat(predictive-analytics): complete admin UI for churn prediction and health scoring 2026-03-03 13:48:37 -08:00