Braintrust
Evaluation and observability platform for AI agents
About Braintrust
Braintrust provides tools to trace production AI calls, run evaluations to catch regressions, and turn real failures into test datasets. It offers observability, evaluation and trace analysis with SDKs in several languages.
Common use cases
- Regression testing for LLM apps
- Production agent monitoring
- Failure-to-test-case workflows
- Prompt evaluation
Products and services
Observe
Tracing and monitoring of production agents.
Evaluate
Running evals and scoring outputs.
Discover
Finding patterns across traces.
Brainstore
Database for searching AI trace data.
Key features
- Tracing
- Evals
- Regression datasets
- Prompt iteration
- Trace search
- SSO and encryption
Integrations
- OpenAI
- Anthropic
- LangChain
- Python
- TypeScript
Braintrust alternatives
- LangfuseOpen source LLM observability, prompt management and evaluation platform
- Arize AIObservability and evaluation platform for AI agents, LLMs and ML models
- GalileoEvaluation, observability and guardrails platform for AI agents and LLM apps
- Confident AILLM evaluation, observability and red teaming platform built around DeepEval
FAQs
Which SDKs exist?
Python, TypeScript, Go, Ruby and C#.
What does it measure?
Output quality via evals and production traces for agents.
How is it priced?
Plans for teams of various sizes; details on the vendor site.

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