Debug agents in production
Engineers and founders shipping agents
Agents fail in slow spans, wrong tool calls, retry loops and lost handoffs. Logs show fragments of the run, not the whole path or its effect on users.
Read the run, find the step
Every production run is a trace with timing, tokens and eval scores on each step, so you can compare a bad run with a good one and see where they split.
Trace the run, isolate the failing step, and hand the evidence to whoever owns the fix.
Trace
Capture prompts, completions, model calls, tool calls, retries, and handoffs.
Correlate
Join spans with eval scores, token cost, latency, releases, and user impact.
Explain
Surface the span, model, tool, or dependency that changed the outcome.
Fix
Route incidents with evidence so engineering can resolve failures quickly.
What you get
- Reduce time spent reconstructing failed runs from scattered logs.
- Catch regressions and loops before they become customer-visible incidents.
- Give founders and engineering leaders a clear reliability story for production AI.
Can Anosys debug multi-agent workflows?
Yes. Anosys traces agent turns, handoffs, model calls, tool calls, retries, and custom spans so teams can inspect the full execution path.
Does this replace application logs?
No. Anosys connects logs with traces, evals, cost, user context, and business impact so logs become part of a broader operational timeline.