What is Braintrust?
Braintrust is an agent observability and evaluation platform for teams developing and operating AI agents—software that uses large language models (LLMs) to perform tasks and call tools. It captures production traces and helps teams test, score, and improve agent behavior before and after release.
Key Capabilities
- Production observability: Records prompts, model responses, tool calls, latency, cost, and quality signals for agent runs.
- Evaluations: Compares prompts and models against versioned datasets and scores outputs using code, LLM-based scoring, or human review.
- Pattern discovery: Identifies recurring production issues, tasks, and sentiment patterns; teams can use traces to create regression-test datasets.
- Quality controls: Supports online scoring, alerts, and release gates intended to detect regressions before deployment.
- Developer integrations: Provides SDKs for languages including Python, TypeScript, Go, Ruby, and C#, plus an MCP server for accessing logs, evaluations, and prompts from an IDE.
Audience & Use Cases
- Audience: AI engineers, platform engineers, product teams, and quality teams operating LLM-powered applications.
- Use cases: Debugging agent failures, evaluating prompt or model changes, monitoring production behavior, building test datasets from real interactions, and enforcing quality criteria for releases.
Technical Specifications
- Deployment: Cloud platform with hybrid deployment options for the Brainstore data plane.
- Access controls: SSO/SAML support, role-based access control, and granular project- and resource-level permissions.
Categories & Use Cases
Technical Details
| Mobile Application | No |
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FAQs
What is Braintrust?
Braintrust is an agent observability and evaluation platform for teams developing and operating AI agents—software that uses large language models (LLMs) to perform tasks and call tools. It captures production traces and helps teams test, score, and improve agent behavior before and after release.