Agent observability
Agent observability is per-step tracing of everything an AI agent does: each model call, tool call and lifecycle event captured as spans, with token usage, cost and latency per run. It turns agent behavior from anecdote into telemetry that operators, auditors and finance teams can query.
In NeoXam Agents
Every step emits an OpenTelemetry span to Langfuse: full trace per run, cost per run, per tenant and per agent, latency and eval dashboards. A contract-tested redaction layer guarantees that no prompt or completion content leaks into telemetry.
Related terms
See it at work
Compliance breach analysis
In product · unified at GABreaches investigated and explained with traceable evidence at the moment they are flagged — no more manual reconstruction.
See how these concepts come together in a governed agentic platform for investment operations.
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