Oridio natively emits OTLP (OpenTelemetry) distributed traces for every LLM request, tool execution, and policy evaluation. Export directly to Datadog, New Relic, or Grafana Tempo with zero configuration.
When an autonomous agent fails, debugging the "black box" of LLM reasoning is notoriously difficult. Oridio implements full distributed tracing based on OpenTelemetry standards, specifically tailored for the stochastic nature of AI workflows. Every thought, tool invocation, and network request is captured and correlated.
The execution trace visualizes the exact latency breakdown: how much time was spent waiting on the foundational model, executing the Firecracker sandbox, or waiting for a third-party API. By exposing the agent's intermediate reasoning steps and complete prompt-response pairs, engineers can rapidly pinpoint whether a hallucination, a timeout, or a tool error was the root cause of failure.