AI agents suck.
When they don't have Ledda.
They hallucinate. They skip steps. They fail without a single error. Ledda catches it all — before your customers do.
Every AI issue costs you hours and trust
Here's what changes when your support team can see inside AI conversations.
To understand what the AI actually did
Of AI tickets escalated to engineering
For support to get full conversation context
Find issues before customers report them
The problem
Your AI handles thousands of conversations.
You hear about failures from customers.
Silent failures are your biggest risk
Your AI completed the conversation. No crash, no error. But it hallucinated a refund policy, skipped a cancellation, or gave a confidently wrong answer.
Traditional monitoring catches none of this.
You find out from customer complaints
Your agent broke 3 hours ago. You learn about it from an angry email. Now you're firefighting instead of building — digging through raw logs to piece together what happened.
The default feedback loop is broken.
Hey eng — customer says AI cancelled their sub but didn't process the refund. Can someone check?
Debugging eats your engineering hours
Every weird AI response means an engineer drops what they're building, traces through logs, and translates the problem into plain English for the team.
5-10 times a day. Every day.
How it works
Connect your traces. See everything. Ship with confidence.
10 minutes to set up. OpenTelemetry native. Every AI conversation becomes a trace you can actually read.
Every LLM call, tool use, and decision — visible
See the full chain: which model was called, what tools ran, what the agent decided, and how long each step took. With cost per conversation.
Alerts that catch what monitoring misses
Set up proactive alerts for hallucinations, cost spikes, and duration anomalies. Know when your agent breaks — not when a customer tells you.
Readable by your whole team, not just engineers
Support, product, founders — anyone can search a conversation and understand what happened. No log parsing. No engineering escalation.
Your AI agent is in production. Do you know what it's doing right now?
Connect your traces in 10 minutes. See every conversation, catch every failure.
Start free — 50k units includedNo credit card required. Setup in under 10 minutes.
Frequently asked questions
Any stack that produces traces. We're OpenTelemetry native and support Traceloop, LangChain, OpenInference, and Vercel AI SDK out of the box. If you're using a custom setup, point your OTLP exporter at Ledda and it works.
Langfuse and LangSmith are developer debugging tools — great for prompt iteration and chain evaluation during development. Ledda is built for production monitoring: proactive alerts, readable traces for non-engineers, and search across all conversations. Different job, different tool.
Silent failures are when your agent completes a conversation without throwing an error — but still hallucinated, skipped a step, or gave a wrong answer. Traditional monitoring misses these entirely. Ledda runs evaluations on every conversation to flag them automatically.
Under 10 minutes if you have tracing in place. Point your OpenTelemetry exporter at Ledda and conversations start appearing immediately. No code changes to your agent required.
50,000 units with 7-day lookback. No credit card required, no time limit on the free plan. We want you to ship your agent and actually see what it's doing before you think about pricing.
That's the whole point. Support, CS, product, founders — anyone can search a conversation by user, session, or error type and understand what the AI did. No log parsing, no SQL, no asking engineering.