What it does
Braintrust collects AI agent traces and provides live monitoring, evaluation, and pattern discovery in one workspace. Developers can inspect prompts, responses, and tool calls, track latency, cost, and quality, and turn recurring production behaviors into evaluation cases. Its focus is not just receiving telemetry: it connects what happened in production with repeatable checks for later releases. The platform helps teams detect and investigate behavior changes, while the application owner remains responsible for confirming the cause and shipping a fix.
Braintrust's quickstart begins with an account and an instrumented AI application. After traces arrive, the Observe area lets developers inspect calls and tool activity, while dashboards and alerts provide a view of live performance. The platform's Discover workflow looks for recurring behaviors in production data; an engineer can review those patterns, create an evaluation, and use it to compare prompts or models. This is useful when a model output is not a conventional exception but a recurring quality or workflow problem.
The product combines observation with evaluation and testing, so teams can use the same trace data to find behavior and build a regression check. Its AI analysis features can assist investigation, but a detected pattern still needs a human to verify that it represents a defect and choose a safe correction.
Braintrust offers a free Starter tier and paid Pro and Enterprise options. The public plan details include processed-data, score, and retention allowances, with additional usage charges on some dimensions; review those thresholds before sending a large production workload. The official documentation describes SDKs, APIs, dashboards, alerts, and monitoring workflows.
Strengths
- Production traces can feed pattern discovery and evaluation workflows instead of remaining isolated log records.
- The product monitors latency, cost, and quality while preserving trace details for investigation.
- The pricing page publishes a free tier and plan-specific data, score, and retention limits.
Watch out for
- The free and paid plans have processed-data, score, and retention allowances; some usage is metered beyond included amounts.
- Finding a recurring pattern does not itself verify root cause or change the monitored application.
Best for
- AI platform teams monitoring agent traces and turning repeated production failures into evaluation checks.
- Developers who need to compare the quality and performance of prompt or model changes over time.
Sources
- Braintrust - The active observability platform for agents (Oct 26, 2026)
- Get started with Braintrust - Braintrust (Oct 26, 2026)
- Pricing - Braintrust (Oct 26, 2026)