AI monitoring

Monitor AI and catch issues before users

Trace every agent, score live traffic, and get alerted when AI model performance drops.

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

Total LLM cost

Trusted by AI teams at

Watch video
Read story
Watch video
Watch video
Read story
Watch video

See traces in minutes

One decorator. Automatic tracing. Quality scores on live traffic.

1
from braintrust import traced

@traced
async def my_agent(query):
  docs = await retrieve(query)
  return await llm(query, docs)
Instrument your app
Wrap your AI calls with one decorator. Every prompt, tool call, and retrieval step is captured automatically.
2
from braintrust import current_span
from autoevals import Factuality

score = Factuality()(
  output=result, input=query
)
current_span().log(
  scores={"factuality": score.score}
)
Score live traffic
Run LLM-as-judge scorers on production traffic automatically. Quality metrics update in real time without slowing down your app.
3
- name: Quality alert
  condition: factuality < 0.80
  notify: slack:#ai-alerts
  action: add_to_dataset
Alert and fix fast
Set thresholds and get notified in Slack. Failing traces go straight into an eval dataset, so you can reproduce and fix the issue.

What changes when Braintrust is part of your workflow

10x

Faster issue resolution

<10 min

Eval turnaround

25%

Accuracy improvement

45x

More feedback

Notion, Dropbox, Zapier, and Coursera use Braintrust to ship better AI. Get started free →

Works how your team works

Engineers instrument in code. Everyone watches quality, latency, and cost in one dashboard. Problems surface before users report them.

For engineers

from braintrust import traced, current_span
from autoevals import Factuality

@traced
async def my_agent(query):
  docs = await retrieve(query)
  result = await llm(query, docs)
  score = Factuality()(output=result, input=query)
  current_span().log(
    scores={"factuality": score.score}
  )
  return result

One decorator to trace. Score any span inline with autoevals. Works with any AI provider or framework.

For SMEs & PMs

Braintrust logs view with QA scores and trace detail panel

Quality scores, latency, and cost in one view. Set thresholds and get notified in Slack.

Built for AI monitoring from the start

Real-time AI performance metrics

Quality scores, latency percentiles, token usage, and cost tracked per request. Spot regressions the moment they appear.

AI agent monitoring

Every tool call, retrieval step, and LLM call in a multi-step agent is captured as a span. See the full decision path for any request and know exactly where it went wrong.

Production traces become eval datasets

Tag a failing trace and see it land in your dataset. The same data you monitor in production becomes the test suite you run in CI.

What our customers say

“There are some problems we wouldn't know were problems without Braintrust.”

Sarah Sachs, AI Lead at Notion

Stop shipping on vibes

See your first trace in minutes

Free to start · No credit card required

Get started free