Braintrust is a comprehensive platform designed to help teams build and maintain high-quality LLM-powered applications. It addresses the challenges posed by non-deterministic models and unpredictable natural language inputs by providing tools for evaluation, tracing, and monitoring.
Key features include:
- Evaluation Workflows: Iterative workflows tailored for the AI era, enabling teams to adapt their development lifecycle.
- Prompt and Model Evaluation: Tools to evaluate prompts and models, answering questions about regressions and the impact of new models.
- LLM Execution Traces: Real-time visualization and analysis of LLM execution traces for debugging and optimization.
- Real-World AI Interaction Monitoring: Insights into real-world AI interactions to ensure optimal production performance.
- Customizable Scoring: Use industry-standard autoevals or create custom scorers using code or natural language.
- Dataset Management: Capture and version rated examples from staging and production into secure, scalable datasets.
- Function Support: Define functions in TypeScript and Python for use as custom scorers or callable tools.
- Self-Hosting Option: Deploy and run Braintrust on your own infrastructure for data control and compliance.
Braintrust targets both technical and non-technical team members, offering a unified platform synced between code and UI. It helps answer critical questions about prompt and model performance, making it easier to find and fix issues in AI applications.
