Retrace - Replay Agent Failures, Prove Fixes Work

CI/CD for AI agents — record, fork, fix, and prove.

Unclaimed

Updated Jul 2026 · Added Jul 2026

retraceai.tech

Ai DebuggingFreeai-debugging

Visit Retrace

Share: X in LinkedIn

Add your screenshot here

Image or video shown in this spot

Get Verified · $10 lifetime

Follow Retrace

What is Retrace?

Retrace is a CI/CD platform for AI agents that records every LLM and tool call, enabling developers to replay failures, fork from breaking steps, and prove fixes work before shipping. It captures production incidents as permanent regression tests, providing end-to-end observability with runtime guardrails, circuit breakers, and automated failure classification. Built for teams deploying multi-agent systems that need reliability guarantees across OpenAI, Anthropic, Gemini, and any LLM framework.

Explore Retrace

Need help implementing Retrace - Replay Agent Failures, Prove Fixes Work?

Find verified specialists who work with Retrace - Replay Agent Failures, Prove Fixes Work

Browse specialists

Key Features of Retrace

One decorator captures every LLM call and tool call
Fork & replay from the exact step that broke
Prove the fix with verdict before shipping
Eval gates for CI/CD quality assurance
Runtime guardrails to halt agents before failure
Circuit breakers to block runaway loops and budget overages
Automatic failure taxonomy classification (MAST)
Multi-agent tracing with causal graphs
Sessions management for complex workflows
Works with OpenAI, Anthropic, Gemini, and any LLM framework

Who Should Use Retrace?

Debug production agent failures and run root cause analysis

Create permanent regression tests from incident traces

Validate fixes before deploying to production

Enforce AI quality gates in CI/CD pipelines

Monitor multi-agent systems with causal tracing

Set budget and loop limits for cost control

Classify and analyze agent run failures at scale

Retrace: Pros & Cons

✓Pros

One-line decorator for instant integration
Record and replay any agent run without re-running from scratch
Fork from specific breaking steps to isolate issues
Get verdicts on fixes before production deployment
Automatic failure classification and root cause analysis
Works with any LLM provider and framework
Built-in runtime safety guardrails and circuit breakers
Interactive trace UI for visual debugging

Frequently Asked Questions about Retrace

What does Retrace record?

Retrace captures every LLM call, tool call, and error your agent makes with a single decorator, turning production failures into permanent regression tests you can re-run.

Can I replay a failed agent run?

Yes, you can re-run any recorded run or fork from the exact step where it broke to trace the actual cause without re-running the entire workflow.

What LLMs does Retrace support?

Retrace works with OpenAI, Anthropic, Gemini, and any LLM with any framework.

How do I install Retrace?

Install via pip with 'pip install retrace-sdk' or npm with 'npm i retrace-sdk'.

What are eval gates and guardrails?

Eval gates are CI/CD quality gates that block bad deploys, while guardrails provide runtime safety to halt agents before failure and circuit breakers block runaway loops and budget overages.