Braintrust

Braintrust provides an AI observability platform that helps teams iterate on prompts, run systematic evaluations, and monitor production AI features. It combines evaluation tooling, production monitoring, and an AI-optimized log store to support end-to-end quality workflows for models and agents. The product includes a web UI, programmatic APIs and SDKs, an automation agent called Loop, and Brainstore, a purpose-built database for AI traces and logs.

• Evals and Playgrounds: build datasets, tasks, and scorers to run automated and human-in-the-loop evaluations; start by creating an experiment and running batch or playground tests to compare prompts and models.
• Loop automation agent: automates prompt optimization, synthetic dataset generation, and scorer building to accelerate evaluation cycles and reduce manual work.
• Brainstore (AI log database): an optimized storage and query layer for traces and spans that enables fast full-text search and large-scale analysis of AI interactions.
• Production monitoring & alerts: capture live model responses, track latency and custom quality metrics, and configure alerts and automations to prevent regressions from reaching users.
• API & SDKs: REST API with OpenAPI spec plus language SDKs enable programmatic ingestion, querying (BTQL), and integration into CI/CD and observability pipelines.
• Security, access control & deployment: role-based access control, SOC 2 Type II compliance, and self-hosting/on-prem options for privacy-sensitive or high-volume deployments.

To get started, sign up for a free account, use the evaluation playground to author and run evals, instrument your application to send traces to Braintrust, and iterate using Loop and the SDKs to track improvements and set production quality gates.