Developer Documentation

SDKs & Instrumentation

Braintrust provides native SDKs for Python, TypeScript, Go, Ruby, C#, and more. Adding tracing to an existing AI application requires just a few lines of code. All SDKs support span-level instrumentation, meaning you can capture sub-calls within agents, tool invocations, and retrieval steps individually.

Brainstore

Brainstore is Braintrust's purpose-built database for AI observability data. It is engineered for the large, nested structure of AI traces and outperforms traditional databases on full-text search speed, write latency, and span load time. It supports millions of trace queries with low latency and powers custom views, annotation interfaces, and faceted filtering.

Evaluations & Scoring

Evals can be scored via:

LLM-as-judge — Use a model to score outputs against a rubric
Code-based scorers — Write deterministic functions for structured outputs
Human annotation — Build custom annotation UIs (task-specific trace views) with no frontend work

Datasets are versioned and can be populated from production traces in one click (Trace to Dataset).

Integrations & MCP

Braintrust is framework-agnostic and integrates with any AI provider or SDK. Its MCP server connects your coding agent (e.g., Cursor, Claude) to Braintrust so you can query logs, trigger evals, and update prompts from your IDE. See the integrations page for a full list of supported AI providers and frameworks.

Security & Deployment

SOC 2 Type II certified, GDPR & HIPAA compliant
SSO/SAML, RBAC, and granular permissions out of the box
Hybrid deployment: run the Brainstore data plane on your own infrastructure for data residency requirements