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Agent Observability & Tracing(AOT)
Production step-level tracing that records every model call, tool call, workflow step, and sub-agent as a span in a single run tree, annotated with token, latency, and cost metrics. Standardized through OpenTelemetry GenAI semantic conventions (gen_ai.* attributes) and surfaced in platforms like LangSmith, Braintrust, and Datadog, it is the live signal for debugging non-deterministic failures in production, distinct from offline benchmarks that score behavior before deployment.
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Agent Observability & Tracing(AOT)
Production step-level tracing that records every model call, tool call, workflow step, and sub-agent as a span in a single run tree, annotated with token, latency, and cost metrics. Standardized through OpenTelemetry GenAI semantic conventions (gen_ai.* attributes) and surfaced in platforms like LangSmith, Braintrust, and Datadog, it is the live signal for debugging non-deterministic failures in production, distinct from offline benchmarks that score behavior before deployment.
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