Pattern detection
Reads telemetry, feedback, health checks, provider usage and tool metrics to find meaningful patterns across AI systems.
Infrastructure, servers, logs, metrics and tracing in one telemetry API. In the Cadisa ecosystem, every action leaves a signal operators can understand.
Celestial Observer gives AI operations a product grade control layer for service health, runtime logs, metrics, trace replay, provider behavior, feedback and audit evidence.
The telemetry layer supports infrastructure visibility, server health, log inspection, metric rollups and transaction level tracing. Useful enough for enterprise incident review and performance tuning, careful enough never to expose secrets on dashboard surfaces.
Reads telemetry, feedback, health checks, provider usage and tool metrics to find meaningful patterns across AI systems.
Turns one transaction into a timeline: trigger, intent analysis, tool execution, model reasoning, response and delivery status.
Surfaces authentication failures, rate limit blocks, identity mismatches and administrative changes.
Checks agent and crawler endpoints for response codes, latency, timeouts and sanitized errors.
Lists runtime log files and exposes searchable content for production and container style reviews.
Safe platform configuration, registered APIs, crawler monitors, provider settings and health state.
System and user dashboards read aggregated requests, tokens, latency, success rate, feedback, provider usage and cost signals.
Trace replay links telemetry events, tool calls, chat history, portal traffic and model activity through a shared transaction ID.
Bring Celestial Observer to your agents, providers and crawlers. We help you wire the telemetry.