agent-runtime-gather

To check AI employee operational readiness, assess agent team configurations, enabled agents, skill counts, and task loads. This evaluates Hermes run ledger status, stuck started runs, and chat operating readiness for pre-release validation.

AI employee health monitoring tracks operational metrics like agent team config status, enabled agent counts, skill availability, and task load distribution. It reviews the Hermes run ledger to identify stuck started runs and verify chat operating readiness.

Yes, Firestore and Firebase Admin SDKs are required to run agent team health checks. These dependencies handle data retrieval and processing when gathering operational metrics and evaluating run ledger status for AI employees.

Monitor Hermes run ledger status for stuck started runs by using operational health checks that retrieve and process ledger data via Firebase Admin SDKs. This identifies stalled processes and verifies chat operating readiness for agent teams.

Yes, this supports routine operational health assessments of AI agents by evaluating task loads, agent team configurations, and Hermes run ledger status. It is suitable for both pre-release checks and ongoing daily operational monitoring.

Agent team config monitoring relies entirely on Firestore and Firebase Admin SDKs for data retrieval and processing. Operational health assessments require an active Firebase environment and cannot function independently without these dependencies.