Inspect exact agent reasoning chains, tool invocations, latency breakdowns, and token costs with complete execution telemetry. Debug failures in seconds with full replay capabilities.
Every agent run produces a rich, structured execution record from trigger to final response — capturing each step, LLM call, API interaction, and error in one unified timeline.
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Execution logs give your technical teams the data they need to debug problems, optimize performance, track costs, and investigate incidents — without instrumenting anything manually.
Every step of every agent run — trigger, conditional branches, retries, and final outcome with step-level timestamps.
Model used, prompt tokens, completion tokens, latency, and cost per call. Compare model performance across versions.
Every outbound HTTP call with endpoint, method, response code, latency, and payload. Full webhook event history.
Full error messages, stack context, retry count, and recovery status — automatically logged with no code changes.
Distributed trace IDs link every step across services — essential for debugging multi-agent and multi-service workflows.
Per-run and per-workflow token spend and estimated cost. Track AI operational costs down to the individual agent run.
Response time per step, end-to-end execution time per run. Identify bottlenecks before they impact users.
Complete transcripts of every chatbot interaction. Analyze intent detection, fallback triggers, and user behavior patterns.
Filter by agent, workflow, date range, error type, trace ID, or model. Surface the exact run you need in seconds.
RhinoAgents provides both — for different audiences and different needs.
Enable comprehensive execution logs today — and give your engineering and DevOps teams the visibility they need to debug faster, optimize costs, and keep AI operations running smoothly.