AgentLens_

See inside
your AI agents.
Finally.

When your agent fails in production, you shouldn't have to guess why. AgentLens gives you full session replay and trace-level visibility into every decision your agent makes — in real time.

Talk to us →
1
Line to instrument
<5s
To find any failure
100%
Agent visibility
// The problem

Your agents are black boxes. That needs to stop.

Every team shipping AI agents hits the same wall: something breaks in production and there's nothing to look at. No trace. No context. Just logs that tell you what happened, not why. You spend hours reconstructing what the agent was thinking.

# Traditional debugging experience
[ERROR] Agent run failed — exit code 1
timestamp: 2026-02-23T04:12:38Z
...no further context available
 
# With AgentLens
[TRACE] Step 3/5 — fetch_api → timeout after 5002ms
[REPLAY] Full session captured. Token cost: $0.0034
[DEBUG] Root cause identified in 4 seconds. ✓
// How it works

Built for how agents actually run.

01
Instrument in seconds
One SDK import. Every LLM call, tool use, and sub-agent invocation is automatically captured — no manual logging.
02
Watch every decision
Session replay gives you a step-by-step timeline of your agent's execution. See exactly what prompt was sent, what came back, how long it took.
03
Fix failures fast
Failures surface instantly with full context — the exact span, the input that caused it, the error. Hours of debugging become seconds.
AI agents should be observable by default. We're building the infrastructure layer that makes that possible — for every team shipping agents, at any scale.
— Mission, AgentLens

Ready to see
inside?

We're onboarding the first teams now. Come talk to us.

Talk to us → agentlens.it.com