New prompt bundle detected
Compare current release candidate against 2,184 accepted production conversations.
Latchline replays production traces, scores behavioral drift, and blocks risky model, prompt, and tool changes before they reach customers.
Built for teams shipping retrieval, support, coding, and operations agents.
Compare current release candidate against 2,184 accepted production conversations.
Refund lookup calls changed argument order in 14.2% of replayed traces.
Model resolves billing disputes without required human handoff in high-value accounts.
Pin refund schema, add high-value account guardrail, then rerun only the failing slice.
Every release decision links back to concrete traces, expected tool contracts, policy assertions, and customer-visible behavior.
Latchline fits between staging and production, then posts a pass, warn, or block decision wherever your team reviews changes.
Stream traces from LangSmith, OpenTelemetry, Vercel AI SDK, or your own event envelope.
Run candidate prompts and models against representative sessions, edge slices, and saved incidents.
Blend deterministic checks with calibrated evaluator models, then show the failing evidence.
Block deploys, open a focused diff, or approve a release with a signed audit record.
The product language stays close to engineering reality: contracts, invariants, slices, traces, thresholds, and reviewable output.
| Check | Signal | Default action | State |
|---|---|---|---|
| Tool contract compatibility | JSON schema, latency, retries | Block on breaking drift | Warn |
| Policy invariant replay | Escalations, refusals, approvals | Block on severity 1 | Selected |
| Empty slice handling | No matching traces for new flows | Request synthetic coverage | Empty |
| Eval model outage | Provider timeout or quota | Use deterministic checks only | Degraded |
We will connect a trace source, encode three invariants, and show whether the change should ship.