Trace every step your AI takes.

Capture every prompt, completion, tool call, and span. Then search, score, and turn failures into eval test cases.

Free to start · No credit card · 5-min setup

Braintrust logs view showing traces with scores

Works with your stack. 50+ integrations, including:

OpenAI
Anthropic
Google
Meta
Azure
AWS Bedrock
OpenTelemetry
LangChain
CrewAI
Vercel AI SDK
LlamaIndex
Mastra

From zero to full tracing in minutes

Two lines to start. Every prompt, span, and score is captured automatically.

Braintrust logs view showing production traces with spans

Trace every LLM call automatically

Wrap your provider once and every call logs with inputs, outputs, tokens, cost, and latency. No manual instrumentation required.

Braintrust logs showing scored traces with quality metrics

Score traces and catch regressions

Run LLM-as-judge scorers on live traffic. Filter by score, tag failures, and send them straight into an eval dataset.

Real results from real teams.

<24hrs

To deploy a new frontier model

<10 min

Eval turnaround

50% → 90%+

Accuracy improvement

45x

More feedback

Notion, Dropbox, Zapier, and Coursera use Braintrust to ship better AI.

Tracing built for AI teams.

Every provider in one SDK

Works with OpenAI, Anthropic, Gemini, AWS Bedrock, Azure, and all major frameworks including LangChain, LangGraph, LlamaIndex, CrewAI, and more. No rewrites and no lock-in.

See full agent traces

Tool calls, retrieval steps, and reasoning chains all nest as child spans automatically. See the full decision path for any agent request across services and steps.

Traces become eval datasets

Tag any failing trace and it lands in a dataset. Use the same data structure in production and in evals, so the logs you debug with become the tests you ship with.

Customer spotlight

“Loop helps us understand trace details that would be impossible to scan manually.”

Allen Kleiner, AI Engineering Lead at Retool

Get a demo

Stop shipping on vibes

First trace live in minutes.

Free to start · No credit card required

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