learning_ai_common_plat/services
saravanakumardb1 b8e230f018 feat(mcp-server): A2A batch-2 — STTFallbackMonitorAgent (lysnrai) + ProgressAnalystAgent (jarvis) + BrainOverflowAgent (mindlyst)
stt-fallback-monitor-pipeline.ts: lysnrai.stt.monitorFallback
  - STTEventScannerAgent -> DiagnosticsLaunchAgent -> FallbackReportAgent
  - Queries stt_completed telemetry, splits azure vs whisper events, computes offline rate
  - Opens diagnostics session if rate exceeds threshold (default 20%); 6h default window

progress-analyst-pipeline.ts: jarvis.progress.analyze
  - SessionMetricsCollectorAgent -> PlateauDetectorAgent -> ProgressReportAgent
  - Collects skillMetrics timeseries per agent from recent sessions
  - Detects plateau (delta < threshold), recommends increase_difficulty or supplementary_agent

brain-overflow-pipeline.ts: mindlyst.brains.checkOverflow
  - BrainInventoryAgent -> OverflowDetectorAgent -> OverflowReportAgent
  - Flags brains above item count threshold with no acted-on items in N days
  - Per-brain suggestion: archive / reassign / review

MCP server total: 99 tools
2026-03-05 16:31:32 -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): A2A batch-2 — STTFallbackMonitorAgent (lysnrai) + ProgressAnalystAgent (jarvis) + BrainOverflowAgent (mindlyst) 2026-03-05 16:31:32 -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