See what your AI agents are actually costing you, and why they failed.
OTel-native traces give you per-call cost and latency across every model and agent step, correlated with the rest of your stack. No separate tracing tool to run.
Built for production cost and reliability monitoring, not prompt evaluation. Pairs well with tools like Langfuse or Braintrust for eval workflows.
Cost broken down by model, agent, and call, using the same OTel pipeline that powers the rest of the platform, not a separate bill to reconcile.
Every agent step and model call, built from OTel GenAI semantic conventions, not a proprietary SDK.
GenAI traces sit alongside your infrastructure, application, and log signals, so an agent failure and the service it called are visible in the same place.
Your GenAI traces already speak OTel.
No proprietary SDK to instrument, and no separate ingestion pipeline. GenAI and agentic workload traces flow through the same OpenTelemetry-native pipeline as the rest of the platform, with the same $0-to-ingest cost model and the same local-execution guarantees. See the full pipeline on OpenTelemetry.