Production reliability for AI agents

Ship reliable
AI agents.

An agent can return 200 OK and still have failed. Zevruna watches production runs across models, tools, APIs and MCP, and tells you what broke and where to look.

Free to start, no card. The wizard finds your servers and takes the first snapshot.

Example incident

Checkout agent regressionHigh
detected 6m ago · 2,481 runs
● Open

Execution trace

MClaude 3.5model842ms✓
Acustomer.lookupREST API211ms✓
Psalesforce.update_contactMCP4.8s✗
Trefund.createinternal tool392ms✓
Mfinal responsemodel143ms✓

Likely root cause

salesforce-mcpMCP

Contract changed 4m before the regression began.

customer_id: string−
contact_id: string+
Correlation4m apart

Blast radius

●support-agent2,48176.4% failing
●outreach-agent43118.7% failing
●crm-sync0ok
View full incident →

The loop

From failure to verified fix

Watching

Models, tools, APIs and MCP, one timeline.

Regression

Success rate or latency leaves baseline.

Root cause

Narrowed to the step most correlated with failure.

Blast radius

Which agents, runs and users are affected.

Verified

CI confirms the fix. Exposure window recorded.

One protocol, every language

The same events, whatever your agents are written in

Every Zevruna SDK emits one versioned event schema and behaves identically down to retry backoff, batch size and what it refuses to put on the wire. Ten shared fixtures hold all three to it in CI, so a Python agent and a Node agent are never quietly two different products.

Read the protocol
NodeStable
npm i @zevruna/observe
await observeAgent({ name: "crm" }, async () => {
  await observeStep({ kind: "mcp", name }, call);
});
PythonBeta
pip install zevruna
async with observe_agent("crm"):
    async with observe_step("mcp", "crm.update"):
        await call()
GoBeta
go get …/zevruna-go
ctx, tr := zevruna.StartTrace(ctx, "crm")
defer tr.EndWith(&err)
// same events, same defaults, same fixtures
1.0Schema version
10Golden fixtures
50Events per batch
5sFlush interval

Identical defaults, timeouts, redaction and shutdown behaviour across SDKs. See the spec

Already running OpenTelemetry?Point your exporter at us. No SDK, no code change, and your existing spans arrive as runs on the same timeline.Two environment variables →

What a silent break costs

Nobody is buying monitoring

They're buying back the afternoon four engineers lose to a bug with no stack trace.

Hunting it00:00
  • customers complain
  • engineering paged
  • logs, no exception
  • traces, all 200s
  • trace the agent by hand
  • found: a tool contract changed
With Zevruna00:00
  • regression detected
  • isolated to salesforce.update_contact
  • contract change correlated
  • fix verified by CI

Nine engineering hours is roughly $700–1,100 in salary, before the failed transactions. Illustrative, from public salary ranges, we hold no telemetry from your systems.

Global MCP intelligence

Know when the tools your agents depend on change

We monitor the public MCP ecosystem and correlate contract changes with your runs. No SDK needed for this part.

Explore MCP Monitor
0
Servers monitored
0
Breaking this week
0
Advisories published
0
Contract checks

Check an MCP server

Instant contract report. No signup.

Try

Checking adds the server to the public directory and starts watching it.

Bring Zevruna into your production agents.

Free to start, one account, then npx zevruna in the repo where your agents live.