Retrace
Summary
Your agent failed in production and all you have is a log file, a cost spike, and no way to replay the exact sequence of decisions that caused it — Retrace exists to close that gap.
Retrace records every LLM call, tool call, and branching decision an agent makes, then lets you fork from the exact step that broke and re-run a corrected version before shipping the fix. The prove-the-fix verdict — a pass/fail on whether the replay resolved the failure — is what separates it from passive tracing tools. CI gate integration means a regression fails the build rather than reaching users. Budget guardrails and circuit breakers can halt a runaway loop before it compounds into a cloud bill. Self-hosting is not an option, which means every recorded trace goes to Retrace's infrastructure.
Bottom line: Pick Retrace when you need to move from 'the agent failed' to 'the agent failed at step 4 because of this prompt change, and here is proof the fix works' — but plan around the hosted-only model if your security policy requires traces to stay on-premises.
Pricing Plans
SubscriptionLast verified 1 week ago- Price
- $29/mo
- Free Tier
- 1,000 traces/mo, 7-day retention, Fork & replay add-on available for $5/mo, 1 user
Free
For experimenting
- 1,000 traces/mo
- 7-day retention
- Fork & replay: $5/mo add-on
- 1 user
Starter
For solo builders
- 10,000 traces/mo
- 30-day retention
- 100 fork replays/mo
- Cassette VCR replay
- 25 prove-the-fix runs/mo
- 1 user
Pro
For shipping
- 50,000 traces/mo
- 90-day retention
- Unlimited fork replays
- Cassette VCR replay
- 200 prove-the-fix runs/mo
- 1 user
- CI regression gates
- Multi-agent detectors
- Sandbox env: 5,000 traces/mo
Teams
For teams
- 500,000 traces/mo
- 365-day retention
- Unlimited fork replays
- Cassette VCR replay
- 1,000 prove-the-fix runs/mo
- Up to 10 users
- Team traces & collaboration
- CI regression gates
- Multi-agent detectors
- Sandbox env: 50,000 traces/mo
Enterprise
For scale
- Unlimited traces/mo
- Custom retention
- Unlimited fork replays
- Cassette VCR replay
- Unlimited prove-the-fix runs/mo
- Unlimited users
- Team traces & collaboration
- CI regression gates
- Multi-agent detectors
- Sandbox env: Unlimited traces/mo
View full pricing on retraceai.tech →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Fork-and-replay from any specific step in a failed run, so you debug the actual decision point rather than reconstructing it from logs after the fact.
- Prove-the-fix verdicts generate a pass/fail result against the recorded failure before deployment, so you ship a verified correction instead of optimistic code.
- CI/CD eval gates block a bad deploy at the build stage, which means a prompt regression fails the pipeline rather than reaching users silently.
- Runtime guardrails and circuit breakers halt a runaway loop or budget breach mid-execution, so a single bad run cannot compound into an uncontrolled cloud bill.
- Provider-agnostic instrumentation via a single decorator works across OpenAI, Anthropic, Gemini, and other LLM providers, so switching models does not require re-instrumenting the agent.
Cons
Sign in to edit- No self-hosted deployment option exists — every trace, including the LLM inputs and outputs your agent recorded, is sent to Retrace's infrastructure. Teams under data residency or HIPAA constraints hit this wall immediately and switch to a self-hostable alternative like Langfuse or Phoenix.
- The free tier is capped at 1,000 traces per month — a single multi-step agent running in active development can exhaust that in days, forcing a paid upgrade before the team has validated whether the tool fits their workflow.
- Replay and fork mechanics depend entirely on what the decorator captured; if a failure originates outside the instrumented boundary — a downstream API, an external database, an undecorated subprocess — the fork re-runs with the original external state and the replay fidelity breaks down. Teams with deeply distributed agent topologies add supplemental tracing at each boundary.
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About
- Platforms
- Web platform with Python and JavaScript SDKs
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-26T02:35:57.808Z
Best For
Who it's for
- AI agent developers needing detailed execution traces
- Teams requiring replay and fix verification before deployment
- Production environments with budget and safety constraints
- Multi-agent systems requiring causal session graphs
What it does well
- Debugging and RCA on failed agent runs
- Forking and re-running from specific steps to test fixes
- Enforcing runtime guardrails and budget limits on agents
- CI/CD gating of agent quality with prove-the-fix verdicts
- Tracing and understanding multi-agent system behavior
Integrations
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Frequently Asked Questions
- Is Retrace free?
- Retrace has a permanent free tier alongside paid upgrades (paid plans from $29/mo). You can keep using a baseline version indefinitely without paying.
- Is Retrace open source?
- No — Retrace is a closed-source tool. Source code is not publicly available.
- Does Retrace have an API?
- Yes. Retrace exposes a developer API. See the official documentation at https://retraceai.tech for details.
- What platforms does Retrace support?
- Retrace is available on: Web platform with Python and JavaScript SDKs.
Hours Saved & ROI Stories Community
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Curated lists that include this category
When an agent fails in production, the standard post-mortem is log archaeology: you scroll timestamps, guess at which LLM call returned the bad output, and ship a fix you cannot verify without re-deploying into live traffic. Retrace replaces that loop with a record-replay workflow. A single decorator instruments the agent, capturing every LLM call, tool call, and decision point as a structured trace. When a run fails, you fork from the exact failing step, edit the prompt or tool input, re-run the fork, and receive a verdict — fixed or not fixed — before the change ships.
The differentiating capability is the prove-the-fix verdict tied to CI/CD gating. Most observability tools tell you that something went wrong. Retrace lets you attach the recorded failure as a regression test, run your fix against it, and block the deploy if the fix does not hold. The vendor also describes a failure taxonomy called MAST, which auto-classifies why a run failed — groundedness gaps, drift, loop detection — so the diagnosis surfaces before a user reports a problem.
Retrace fits teams building agents in Python or JavaScript on any LLM provider — the vendor states compatibility with OpenAI, Anthropic, Gemini, and any framework via the SDK. The runtime guardrail layer, including budget limits, loop circuit breakers, and a pre-call gateway with hold-for-approval, addresses the budget blow-out risk that most tracing tools ignore entirely. The platform does not offer a self-hosted deployment path, which is the condition under which regulated teams or those with strict data residency requirements will route around it. Free usage is capped at 1,000 traces per month, after which continued access requires a paid tier.