About Braintrust
Braintrust is a platform for observing, testing and improving AI agents. It records what an agent does in production and lets teams score the results against their own expectations.
What it does
Braintrust captures prompts, responses and tool calls as they happen, so teams can inspect real behavior. It supports evals, which are experiments on datasets that score outputs with LLM judges, code or human reviewers. Teams can compare prompts and models side by side and block a release when quality drops. A discovery feature groups patterns found in traces so that common failures are easier to spot.
Key features
- Trace prompts, responses and tool calls in real time
- Score outputs with LLM judges, code or people
- Compare prompts and models side by side
- Turn production failures into test datasets
- Search across large volumes of logs
Who it's for
The platform suits engineering and product teams that run agents in production and want a shared place to review quality. Solo developers with one small prototype may not need the full set of tools.
Pricing and good to know
The site has a pricing page. Enterprise needs go through a sales contact. Evals take time to design well, so teams usually need to write good datasets and scoring rules before the platform pays off.
Highlights
- Trace prompts, responses and tool calls in real time
- Score outputs with LLM judges, code or people
- Compare prompts and models side by side
- Turn production failures into test datasets
- Search across large volumes of logs
