Stop Guessing Why Your Agent Failed.
Lemma is the observability and evaluation platform built for AI agents. Catch regressions, spot failures, and improve your agent — before users complain.
Backed by the best
PROBLEM
AI agents fail in unpredictable ways that are hard to catch and even harder to solve.
Agent selected their most recent order instead.
SOLUTION
Lemma enables AI agents to continuously learn from their mistakes by turning user feedback into automated improvements.
EVALUATIONS
Measure what actually matters.
Combine automated online evals with real user signals to understand agent performance beyond traditional metrics.
SEMANTIC SEARCH
Ask your traces anything.
Every trace is embedded and indexed. Search across thousands of runs in plain English to find failure patterns, surface regressions, and drill into the exact spans that caused them.
Issues you didn't know to look for.
No predefined categories. No manual labelling. Lemma embeds every trace and clusters them continuously — surfacing emerging failure patterns before you know to ask about them.
Ship changes with confidence,
not hope.
Compare prompts, models, and architectures against a fixed test set before they ever touch production. No live users harmed in the process.
INTEGRATIONS
Fits into your existing stack.
Native support for the frameworks your team already uses. Send traces to Lemma and any other backend simultaneously.
Vercel AI SDK
See how
OpenAI Agents
See how
Langfuse
See how
Arize Phoenix
See how
Azure Monitor
See how
Claude SDK
Coming soon
LangGraph
Coming soon
INSTRUMENTATION
Two lines to start.
Infinite insight from there.
Wrap your agent function with wrapAgent. Get back a runId so you can attach feedback or experiment outcomes to the exact run that produced them.
OpenTelemetry-native
Built on the industry standard. Works alongside Datadog, Langfuse, Arize Phoenix, and more.
TypeScript & Python
First-class SDK support for both, with framework integrations for Vercel AI SDK, OpenAI Agents, and more.
import { wrapAgent } from "@uselemma/tracing";
// Wrap once — trace every execution
const agent = wrapAgent(
"support-agent",
async ({ onComplete }, input) => {
const result = await callLLM(input.query);
onComplete(result);
return result;
}
);
// runId links traces -> feedback -> experiments
const { result, runId } = await agent(input);
// Attach user feedback to this exact run
await recordMetricEvent(METRIC_ID, runId, true);SECURITY
Trust is non-negotiable.
Your data stays yours. Protected by best-in-class infrastructure and verified compliance standards.
SOC 2 Type II
Independently audited security controls.
End-to-end encryption
AES-256 at rest, TLS 1.2+ in transit.
Data Isolation
Fully isolated per organization.
Ready to start improving your agents today?
Book a demo appointment to get started. Close the loop between agent deployment and improvement.
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