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AGENT OBSERVABILITY
Agent observability
See every agent run step by step, with timing, token cost and eval scores, and what happened to the user afterwards.
The problem
Agent failures hide inside successful runs
A run can finish while a tool returned stale data, a handoff stalled or a retry loop burned budget, and the user got a worse answer.
How Anosys helps
The whole run, with context
Each span carries latency and tokens and links to evals and product events, so you 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.