The debugger for AI agents

Know exactly
why your AI
agent failed.

Root cause and the exact fix — in 30 seconds. Add 2 lines of code.

Diagnosis ready in <1s · works with LangChain (Py & JS)
payment-agent · step 3
$ agent.invoke("charge the customer")
✗ ToolError: 403 (charge_card)
── vorlo diagnosis ──────────────
root cause
Stripe rejected the credentials for 'charge_card' — the API key expired.
fix
Rotate the Stripe key in Settings → Integrations, then retry.
✓ Verified fix · resolved in 14 runs
Two lines of code. Any LangChain agent.
$ pip install vorlo-trace ⧉ copy
$ npm install vorlo-trace ⧉ copy
How it works

From cryptic error to verified fix — and then it stops happening.

STEP 1

Trace

Drop the Vorlo handler into your agent. It captures every tool call, input, output, latency and the model's reasoning — fire-and-forget, never slows your agent.

STEP 2

Diagnose

When a step fails, Vorlo translates the raw error into plain English: what broke, the root cause across steps, and a specific fix you can act on.

STEP 3

Learn

Mark a fix as "it worked" — or let Vorlo notice the error stopped recurring. The diagnosis becomes verified for everyone who hits it next.

STEP 4

Prevent

Vorlo blocks or flags risky actions beforethey run — using the failures it has already seen. The bug doesn't happen twice.

REPLAY

Step replay

A chronological walk through every step your agent took, with inputs, outputs and a latency waterfall.

CLUSTERS

Failure types

Failures grouped by root cause, not by session — so you fix the pattern, not the symptom.

HEALTH

Tool reliability

Per-tool success rate, p50/p99 latency, and live "degraded tool" alerts in the last 30 minutes.

SHARE

One-click handoff

Copy a clean diagnosis straight into your editor, your team chat, or an issue tracker.

NOT JUST LOGS

Why, not what

Most tools show you what happened and where. Vorlo tells you why it failed and what to change.

COMPOUNDS

Gets smarter

Every confirmed fix is remembered and shared. Accuracy climbs with use — a moat a late copycat can't replay.

HONEST

Confidence labels

Every answer is tagged verified · likely · best-guess. We never present a guess as a fact.

SAFE

Zero impact

Async, bounded, fail-open. If Vorlo is ever down, your agent runs exactly as before.

What's inside

Everything you need to debug — and stop — agent failures.

{ }

Plain-English root cause

No more ToolError: 403. Get the actual reason your step failed, written for a human.

● VERIFIED FIXES

Fixes that compound

Confirmed once, served to everyone. Vorlo gets more accurate every time someone fixes a bug.

● GUARDRAILS

Prevention, not just postmortems

Block or require approval for risky actions before they execute — based on what's failed before.

● STEP REPLAY

Replay the whole run, step by step

Every tool call, the data that flowed between steps, the reasoning behind each decision, and a latency waterfall — so you can see exactly where it went wrong.

● SELF-TRAINING

Learns on its own

When a failing tool recovers, Vorlo marks the fix verified automatically — no clicks required.

Other tools tell you what your agent did and where it happened. Vorlo tells you exactly why it failed — and fixes it.

Works with your stack

Drops into the tools your agents already use.

LangChain
LangChain.js
Python
Node.js
FAQ

The questions everyone asks first.

Is this just another observability dashboard? +

No. Observability tools show you traces and leave the diagnosis to you. Vorlo reads the trace and tells you the root cause in plain English, gives a specific fix, learns which fixes actually work, and then prevents the same failure from happening again.

How much does it slow my agent down? +

Effectively zero. The SDK is fire-and-forget with a bounded queue — it never blocks your agent, and if Vorlo is unreachable your agent runs exactly as before. The LLM diagnosis happens server-side, off your critical path.

How accurate is the diagnosis? +

Common errors are matched instantly by a curated registry (high accuracy, no AI guessing). The long tail is diagnosed by an LLM with full step context, then improved by feedback. Every answer carries a confidence label — verified, likely, or best-guess — so you always know how much to trust it.

What does "it learns" actually mean? +

Each distinct failure is fingerprinted. When a developer confirms a fix — or Vorlo sees the error stop recurring — that diagnosis is promoted to "verified" and its fix is served to everyone who hits the same failure next. Accuracy compounds with usage.

Which frameworks are supported? +

LangChain for Python and LangChain.js for Node/Next today, via pip install vorlo-trace and npm install vorlo-trace. More frameworks are on the way.