Self-improving AI agents
Catch what your agent is getting wrong — before users complain.
Convoy learns what good and bad look like from your code and from the runs you flag as bad. We watch every agent run in production, surface silent failures with their root cause, and ship the fix.
OpenTelemetry · Vercel AI SDK · Mastra · OpenAI · Anthropic
Used by AI startups from
Your tests pass. Your agent still gets it wrong.
The dangerous failures aren't exceptions — they're a confident, well-formatted reply that's subtly wrong. Tests pass. Logs look clean. You only find out when a user complains.
Without Convoy
With Convoy
What Convoy does
From the first bad run to the fix that ships itself.
Most observability stops at “here's a trace.” Convoy watches every run, learns what good looks like in your domain, surfaces failures, and ships the fix.
Watches every run in production
Convoy ingests OpenTelemetry, so you keep the tracer you already use. Works across the Vercel AI SDK, Mastra, OpenAI, and Anthropic.
Knows what good looks like in your domain
Convoy learns the rules your agent should follow from your codebase, your prompts, and the runs you flag as bad in our UI. No eval suite to write — your code and your judgment are the eval.
Surfaces silent failures with root cause
Hundreds of bad runs collapse into a handful of named Issues, each with the actual reason your agent went off the rails. Hallucinations, looping tools, mis-routed intents.
Ships the fix and validates it
Convoy proposes a concrete change to your prompt, tool, or workflow — then ships it to a slice of users, watches the same signals it learned from your code, and promotes or rolls back automatically.
Detect
Every silent failure, surfaced as an Issue.
Clustered by root cause
Hundreds of bad runs collapse into a handful of named issues — the same root cause grouped together, not one alert per request.
Catches what evals miss
Tool retries that don't error, intents misrouted to the wrong workflow, hallucinations against your own docs — the failures that pass type checks and unit tests.
Slack and email alerts
New issue detected? You hear about it in the channel where you already work, not on a dashboard you forgot to open.
Define good vs bad
Your code is the eval. Your flags sharpen it.
Learned from your codebase
Convoy reads your tool definitions, workflow code, and system prompts to figure out what your agent is supposed to do — without you writing a single test case.
Trained on your flagged runs
Flag a bad run once, and Convoy applies that judgment to every run after.
Updates as you ship
Change a prompt, add a tool, edit your knowledge base — the definition of good moves with you. No drift.
Fix
From root cause to a concrete fix.
A specific edit, not a hint
Convoy proposes an actual change to the prompt, tool schema, or workflow step that's causing the failure — with the exact lines added or removed.
Wired into your coding agent
Open the suggested change in Cursor or Claude Code with one click. Review it like any other code change before it ships.
Backed by the runs that proved it
Every fix links to the cluster of failing traces it was derived from. You can see exactly why Convoy thinks this is the right change.
Validate
On the roadmapTry the fix. Keep what works.
Convoy doesn't guess at one fix and call it done. It tries a few variants on real traffic, watches which one actually improves the runs, and surfaces the winner.
Variants run on a slice
Convoy routes proposed fixes to a small share of users, session-sticky so each user sees a consistent experience.
Judged on what you taught it
The same rules Convoy learned from your code decide whether a variant is winning or losing. No new evals to write.
Keep the winner. Drop the rest.
Variants that improve quality get promoted. Variants that don't get rolled back. You see which change actually moved the needle, and why.
Point your traces at Convoy.
Convoy ingests OpenTelemetry. Drop in the exporter you already know, or use one line of config in Next.js.
// instrumentation.ts
import { registerOTel } from "@vercel/otel";
export function register() {
registerOTel({
serviceName: "your-agent",
traceExporter: "otlp",
});
}
// .env
OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.convoylabs.com
OTEL_EXPORTER_OTLP_HEADERS=Authorization=Bearer ${CONVOY_API_KEY}- Standard OpenTelemetry — no Convoy SDK required.
- Works with Vercel AI SDK, Mastra, OpenAI, Anthropic, and LangChain out of the box.
- Bring your own tracer; point the exporter at Convoy.
Find out what your agent is getting wrong this week.
15-minute demo. We'll show you the silent failures your evals are missing — and walk through pricing for your team.