Braintrust
What is Braintrust?
Braintrust is an AI observability and evaluation platform for teams building and operating LLM applications and agents. It combines production tracing, automated evaluation, experimentation, monitoring, and human review in one workflow. Teams can inspect prompts, responses, tool calls, retrieval steps, latency, cost, and quality scores across AI application runs. Its supported differentiator is connecting production traces directly to datasets and regression tests, helping engineering and product teams improve AI behavior continuously. Braintrust provides SDKs, REST APIs, OpenTelemetry support, and integrations with major AI providers, agent frameworks, and developer tools.
How to use Braintrust?
1. Create a Braintrust account and generate an API key. 2. Install an official SDK or connect a supported provider, framework, or OpenTelemetry exporter to send traces and evaluation data. 3. Inspect runs, score outputs, compare experiments, and convert useful production traces into regression datasets.
Braintrust's Core Features
Production tracing: Inspect LLM calls, prompts, responses, tool invocations, retrieval steps, and multi-step agent workflows.
AI evaluations: Run datasets against AI functions and measure output quality with repeatable scoring workflows.
Experiment comparison: Compare prompts, models, and application versions side by side to identify quality and performance changes.
Automated scoring: Evaluate outputs with LLM-as-a-judge scorers, code-based scorers, or custom scoring functions.
Human review: Add manual annotations and feedback scores to capture judgments that automated evaluators may miss.
Trace-to-dataset workflows: Convert useful or failing production traces into evaluation datasets for regression testing.
Production monitoring: Search logs and track quality, latency, cost, and other metrics across live AI traffic.
Framework integrations: Connect providers and frameworks such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, and OpenTelemetry.
REST API and SDKs: Manage projects, experiments, datasets, prompts, traces, scorers, and permissions programmatically.
Deployment controls: Support SaaS, bring-your-own-cloud, and self-hosted data-plane options for different security requirements.
Braintrust's Use Cases
- #1
Engineering teams debugging multi-step AI agents and tool-call failures in production
- #2
AI product teams comparing prompts and foundation models against a shared evaluation dataset
- #3
Startups monitoring LLM quality, latency, cost, and regressions without building internal observability infrastructure
- #4
Developers turning failed production traces into repeatable evaluation cases for CI testing
- #5
Support and operations teams adding human review scores to investigate low-quality AI responses
- #6
Platform teams routing OpenTelemetry traces from multiple AI frameworks into a centralized monitoring workspace
- #7
Enterprise teams requiring controlled access, data-plane deployment options, and scalable AI evaluation workflows
Frequently Asked Questions
Analytics of Braintrust
Monthly Visits Trend: Jun 2025 - Aug 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 51.95% |
| India | 10.66% |
| Pakistan | 3.36% |
| Korea, Republic of | 2.48% |
| Vietnam | 2.13% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| braintrust | 57.5K | $3.78 |
| braintrust ai | 1.4K | $14.82 |
| brain trust | 5.0K | $5.25 |
| braintrust careers | 1.5K | $3.09 |
| langfuse | 108.1K | $2.83 |
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