Now onboarding design partners

Incident response for

Trace every run, replay failures deterministically, and block regressions before they ship. Runtrail works across any model, framework, or runtime.

Replayable run timelines
Regression checks from real incidents
Release gates in CI
Redaction-first. No side effects in replay by default.

Agents break differently than software.

Not reproducible

Tool responses change, state drifts, integrations flake. You can't just "re-run" an agent and expect the same failure.

0%

of agent failures are non-deterministic

Telemetry is fragmented

LLM calls, tool calls, and app logs don't line up. Piecing together what happened across systems takes hours.

0+

hours avg to reconstruct a single failure

Fixes don't stick

Prompt tweaks ship without regression coverage. The same failure class resurfaces a week later in a different run.

0%

of resolved agent bugs recur within 30 days

reproduce
diagnose
prevent

Runtrail closes the loop.

What you'll see in the first demo

A support agent issues the wrong refund. Here's how Runtrail finds, reproduces, and prevents it.

runtrail --demo
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How it works

From instrumentation to CI gates in four steps.

1
Quick setup

Instrument runs

Add an SDK/exporter in minutes to capture model calls and tool calls.

2
Full visibility

Reconstruct the timeline

One coherent run view with version, ownership, cost, and the failure point.

3
Zero side effects

Replay safely

Tool responses stubbed by default. Optional model stubbing for exact reproduction.

4
Ship safely

Prevent recurrence

Turn incidents into regression checks and enforce release gates in CI.

Protected

Works with your stack

LangGraph
CrewAI
OpenAI Agents SDK
Custom orchestrators
OpenTelemetry
Datadog
Grafana
Custom logs
LangChain
Autogen
Semantic Kernel
Haystack
LangGraph
CrewAI
OpenAI Agents SDK
Custom orchestrators
OpenTelemetry
Datadog
Grafana
Custom logs
LangChain
Autogen
Semantic Kernel
Haystack

Everything you need to go from incident to prevention.

Run Explorer

Search and filter across all agent runs.

  • Search runs by version, tool usage, or error class
  • Error clustering and correlation IDs
  • Filter by time range, owner, or status
  • Deep-link to any span in the timeline

Deterministic Replay

Reproduce failures exactly as they happened.

  • Replay bundles with stubbed tool responses
  • Replayability score per run
  • Safe-mode defaults, optional model stubbing
  • Derived runs you can diff against the original

Regression Checks

Turn incidents into permanent test coverage.

  • Create checks directly from a run
  • Assertion library for outputs, tool calls, and costs
  • Visual diffs between expected and actual behavior
  • Check history with pass/fail trends

Release Gates

Block bad deploys before they reach production.

  • Gates per environment (staging, production)
  • CI integrations (GitHub Actions, GitLab, etc.)
  • Evidence-linked failure reports
  • Block deploys until regressions pass

Built for teams where agent failures have real consequences

Customer support automation

Incident

A support agent auto-applies a $500 refund instead of a $5 credit because the LLM misparses the order total from a tool response.

With Runtrail

Runtrail replays the run, pinpoints the calculation step, and creates a regression check that catches any refund exceeding the order-level threshold.

Internal IT automation

Incident

A provisioning agent grants admin access to a shared resource because the role lookup tool returned stale data during a brief outage.

With Runtrail

Replay with stubbed tools reproduces the issue instantly. A regression check ensures role assignments always match the latest directory state.

Finance/risk ops workflows

Incident

A compliance-checking agent skips a required sanctions screen because an upstream API returned a partial response that the model interpreted as "clear."

With Runtrail

The run timeline shows the missing field. A regression check validates that every compliance run covers all required screening steps before proceeding.

Platform teams managing agent fleets

Incident

A new model version causes three different agent types to regress silently. The issue surfaces only when customers report incorrect outputs days later.

With Runtrail

Release gates block the deploy when regression checks fail across agent types, catching model-version regressions before they reach production.

Not another agent platform.

A reliability layer that works with what you already use.

Framework agnostic

We don't replace your framework.

Runtrail sits alongside your existing agent framework and orchestration code. Keep LangGraph, CrewAI, OpenAI Agents SDK, or your custom setup.

Model neutral

We don't force a single vendor.

Neutral across model providers. Use OpenAI, Anthropic, Gemini, open-source models, or mix them. Everything carries over when you switch.

Engineering first

We focus on engineering workflows.

Replay, diff, regression artifacts, and CI gates tied to real failures. A reliability layer, not another agent builder.

Using MCP or a tool gateway? Runtrail can ingest telemetry from that layer and turn incidents into regression checks and release gates. They work well together.

Built for production from day one.

Redaction-first ingestion and configurable payload capture

Encryption in transit and at rest

Tenant isolation

Retention controls

Replay safety: no mutating calls unless allowlisted

Enterprise roadmap

SSO, RBAC, and on-prem deployment options are planned for early pilot partners.

Frequently asked questions

Make agent incidents debuggable.

Join the waitlist. We're onboarding a small set of design partners.

We respond within 3 business days.