loading...
AGENT OBSERVABILITY

Trace, explain, and improve production AI agents

AnoSys shows every agent run as a connected operational timeline: prompts, model calls, tools, handoffs, retries, latency, cost, evals, and customer impact.
Tool callsHandoffsRetriesRCA
Trace Tree
Trace TreeGraph view for branches, retries, and handoffs
Root cause path highlighted
task6.16s ยท 48 spans
TriageAgent1.51s
TravelAgent4.40s
search_inventoryretry loop
search_flights68ms
Pain

Agent failures hide inside successful runs

A workflow can finish while a tool returned stale data, a handoff stalled, a retry loop wasted budget, or a model decision quietly harmed the customer experience.

AnoSys Answer

End-to-end evidence for agent operations

AnoSys correlates each agent span with evals, cost, infrastructure, user context, process state, and business outcomes so teams know what happened and what to fix.

Built for the agent operating loop
01

Capture

Collect prompts, completions, tools, handoffs, retries, errors, and custom spans.

02

Correlate

Join traces with cost, quality, safety, users, infrastructure, and KPIs.

03

Diagnose

Find slow spans, failed tools, policy risk, quality drops, and root cause.

04

Improve

Alert owners, run evals, trigger pipelines, and track whether outcomes improve.