What problem does it solve? Boundless team members need to inspect broker health, request evaluations, and proving outcomes on live networks, but writing correct SQL against the Redshift telemetry schema requires knowing exact column names, enum values, and Redshift-specific quirks. ## Core Features & Use Cases - Telemetry Querying: Run SQL against the telemetry.broker_heartbeats, telemetry.request_evaluations, and telemetry.request_completions views on Redshift Serverless. - Credential Setup: Load connection details from network_secrets.toml or environment variables and normalize them into a valid REDSHIFT_URL connection string. - Ready-Made Analytics: Use example queries for skip-rate analysis, proving-time breakdowns, success/failure rates, and per-broker health snapshots. - Use Case: Ask why brokers are skipping orders in the last 24 hours and get a breakdown of skip codes with percentages, with broker addresses labeled using the known-address mapping. ## Quick Start Ask the assistant to show the most recent heartbeat for each broker on the production network.