Autonomous fixes for production AI agents.

Converra catches regressions in production, drafts fixes across prompts, routing, guardrails and config, and A/B tests the ones you approve on real traffic — before you ever read a log.

You approve what ships.

LangSmith or Langfuse · 5-minute connect · no code changes.

Production-verified fix from a real Converra customer's Orchestrator agent. The Trust-erosion failure pattern “Invents pricing, contact emails, product features” dropped from 23% to 0% — a 100% reduction — measured across 97 production conversations after the Apr 23 fix and confirmed by Converra's before/after verification on real traffic.
From production · Orchestrator97 conversations · 34 customers
Failure rate23% → 0%0%
Verified · real traffic
Invents pricing, contact emails, product features
Trust erosion · 100% fewer after Apr 23 fix · 97 conversations
Works with
Vercel AI SDK
LangChain
LangSmith
Langfuse
OpenTelemetry
Any LLM provider
The loop, visually

Diagnose. Fix. Simulate. A/B test. Verify.

Five things every team eventually builds badly. Converra runs the loop: simulation for confidence, production A/B for proof.

01 · Diagnose

Cluster every failure across the fleet.

Production trace mining and regression suites group findings by root cause, not by ticket.

Trust erosion97
Off-policy escalation24
Tool-call loop11
Hallucinated tools6
02 · Fix

Targeted agent changes. No retraining.

prompts/support-agent.md+5 -0
87## Saturation rule
88If user has refused twice OR session > 8 turns
89without progress, exit extraction mode and
90offer human handoff via "escalate_to_human".
91
92## Close discipline
03 · Simulate

Break it in simulation. Fix it before production.

+8
+14
+22
+11
+19
-3
+15
P1P2P3P4P5P6P7
6 / 7 improved · 1 blocked
04 · A/B test in production · Verify

Variant on real traffic. Verdict from real users.

variant B·20% trafficlive
Control 80%Variant B 20%
+18.4%
Task completion vs. control
N=412
Real-user conversations
verified
Verdict on real traffic
verifiednot fixedconfoundedEvery variant gets a verdict from real traffic.

How agent improvement works today.

Engineers read logs and evals. They throw coding agents at the fixes. They ship and hope it's better. Every new customer and every new agent adds edge cases faster than engineering can keep up.

That's why most agents degrade in production.

Detect. Fix. Test. Deploy. Verify.

Every fix teaches the next one.

01
Detect
Spots regressions as they emerge
02
Fix
Generates targeted fixes automatically
03
Test
Simulates head-to-head with regression checks
04
Deploy
Ships winners with instant rollback
05
Verify
Proves it worked in production
Fully autonomous. Your team steps in only when they choose to.
Production verified

One orchestrator agent. Verified in production.

Salespeak

Converra optimized Salespeak's orchestrator agent — the one that routes every conversation to the right specialist.

100%
Hallucinations eliminated
The orchestrator stopped inventing pricing, contact emails, and product features. Verified at 0% across 97 conversations after Apr 23 deploy.
69%
Fewer routing failures
Mis-routed queries dropped from 16% to 5% across 40 conversations after Apr 25 deploy.
5
Fixes shipped this batch
1 verified · 6 awaiting verification on more production traffic. Aggregate ↓46% failure rate across the agent.

Every fix verified in production.

We measure real conversations before and after each deploy. If a fix didn’t move the number on real traffic, we say so.

A production fix from a Converra customer’s Orchestrator Agent deploy reduced the “answers questions but never asks what the user actually needs” failure pattern from 35% to 26% across 88 production conversations, verified by before/after measurement on real traffic.
From production · Orchestrator Agent88 traces
Answers questions but never asks what the user actually needsVerified
Pipeline leak · surfaced on Discovery Agent
Before fix
35%failure rate
After fix
26%failure rate
↓9 pp reduction · 88 production conversations measuredStatus: Improving
1 verified·0 regressions·6 awaiting verification

Pinpoint which agent broke, at which step

Converra traces failures to the exact agent and exact turn in multi-agent conversations — with root cause classification and per-step scoring. Then fixes it automatically.

Conversation #4091 — SDR AgentExample

Score: 12Fix this →
Aggressive volume-only disqualification threshold in prompt
Step 1 · User

"We use smart badges for our events but need a less expensive alternative. Must share contact details between exhibitors and delegates. Sustainability is important."

Step 2 · Agent

Asks about event volume — how many events planned in the next 12 months. Good qualifying question.

Step 3 · User

"2 conferences, about 200 attendees each."

Step 4 · AgentRoot causePrompt Issue

"Based on your current event volume, we may not be the best fit." Redirected to a community page. Prospect dismissed.

Disqualified on attendee count alone — ignored product-fit signals (smart badges, contact sharing, sustainability).
Intent 25Relevance 15Context 20Tool Use 30

From symptom to tested fix.Across every agent.

Other tools show you dashboards. Converra finds the patterns breaking your agents, ships tested fixes, and proves they worked.

PatternAgentImpactStatus
Invents pricing, contact emails, product features
Orchestrator↓ 100%Verified
Pitches features before understanding what the prospect actually needs
Orchestrator↓ 57%Verified
Routes queries to the wrong specialist, misreading user intent
4 agents↓ 69%Improving
Answers questions without asking what the prospect actually needs
Discovery Agent↓ 26%Improving
Skips qualifying questions after users express interest
4 agents↓ 26%Monitoring

One line to close the loop.
Nothing ships without proof.

Deploy automatically, or review first. You choose when.

Fully automatic integration

Add one import. Converra captures every LLM call, generates optimizations in simulation, and serves winning variants — automatically.

  • Captures every LLM call — OpenAI, Anthropic, Gemini, and more
  • Auto-detects prompts by content hash — no manual registration
  • Serves winning variants at runtime — no redeployment needed
  • Fail-safe: if Converra is down, your agent runs unaffected
Terminal
# One command. Zero code changes.$ CONVERRA_API_KEY=sk_live_... \
  node --import converra/auto server.js# Conversations captured. Optimizations deployed automatically.

Built for production

Every fix survives simulation testing and regression checks before it touches your production agent.

Simulation tested

Every fix runs head-to-head against the current version before deployment.

Instant rollback

One-click rollback. If any metric regresses, it rolls back automatically.

Your data stays yours

No training on your data. Scoped access to traces only. Full audit trail.

Regression tested

Every improvement checked against scenarios your agent already handles well.

Production verified

Every deployed fix measured before/after. Catches what didn't work.

Trust through proof, not permission.

Full audit trail for every change. See what was fixed, why, and what improved.

Connect once.
See your first fix.

Connect once. Converra surfaces failures, drafts fixes across prompts, routing, guardrails and config, then A/B tests the ones you approve on real traffic.

Get started free