Braintrust
Free tierThe AI observability platform for building quality AI products at scale
Key strengths
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Recent changes
- Plans updated: Starter: $0/mo (free tier, $10 model credits, 1 GB processed data, 10k scores, 14-day retention). Pro: $249/mo ($100 credits, 5 GB processed data, 50k scores, 30-day retention, RBAC, priority support). Enterprise: custom pricing with custom retention, on-prem or hosted deployment.
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Braintrust — Technical Use Cases
1. Agent trace debugging in production Instrument multi-step agent workflows with the Python or TypeScript SDK to capture full execution traces. Use real-time monitoring to identify where agents deviate, loop, or fail — without relying on ad hoc logging.
2. Automated evaluation pipelines Integrate Braintrust's eval framework into CI/CD workflows via the API. Define LLM-as-a-judge, code-based, or human scoring rubrics to gate deployments on quality thresholds — up to 50k scored outputs/month on Pro.
3. Production failure diagnosis with Loop Let the Loop AI agent autonomously scan production traces to surface recurring failure patterns and generate candidate fixes — including updated prompts, scorers, and datasets — without manual triage.
4. High-throughput AI data retrieval Use Brainstore with the Nitro query engine to store and query large volumes of agent outputs, traces, and evaluation results efficiently, supporting fast iteration on datasets and evals.
5. Compliance-ready agent observability Deploy Braintrust on-premises or in a hybrid configuration (Enterprise) to meet SOC 2 Type II, HIPAA, or GDPR requirements while retaining full observability over agent behavior.
6. Multi-language team integration Adopt Braintrust across polyglot engineering teams using SDKs for Python, TypeScript, Go, Ruby, and C#, with MCP and S3 integrations for broader data pipeline compatibility.