Skip to content

Braintrust

What it is

Braintrust is an enterprise-grade platform for evaluating, logging, and improving AI applications. It provides a specialized infrastructure for running evaluations, managing prompts, and tracking experiments in a collaborative environment.

What problem it solves

It solves the "vibe check" problem in AI development by providing deterministic, data-driven ways to measure model performance. It enables teams to iterate on prompts and models with confidence by quantifying improvements and regressions.

Where it fits in the stack

Category: Process & Understanding / Evaluation

Typical use cases

  • Automated Evaluations: Running test suites against new versions of prompts or models.
  • Prompt Playground: Testing and refining prompts with real data.
  • Experiment Tracking: Comparing results across different model configurations.
  • Production Logging: Capturing and analyzing live application traces.

Strengths

  • Native OpenRouter Integration: Supports direct log ingestion for monitoring OpenRouter-based traffic.
  • Developer-Centric: Strong focus on CLI tools and SDKs that fit into existing CI/CD workflows.
  • Enterprise Ready: Features like RBAC and audit logs for large teams.

Limitations

  • Cost: Primarily a paid service for enterprise features.
  • SaaS First: While it has SDKs, the core analysis platform is hosted.

When to use it

  • When you need a centralized system for team-wide prompt management and evaluation.
  • When you need to integrate AI evaluations into your automated CI/CD pipeline.

When not to use it

  • For small, solo projects where local logging or simple scripts are sufficient.

Getting started

Install the Braintrust SDK:

pip install braintrust

Initialize a simple evaluation in Python:

import braintrust

# Your evaluation logic here...

CLI examples

braintrust login

Authenticates your local environment: 

braintrust login

braintrust push

Pushes local prompts or configs to the Braintrust platform: 

braintrust push

bt eval

Runs a local evaluation suite (requires the bt CLI): 

bt eval

API examples

Python (Logging a trace)

from braintrust import traced

@traced
def my_ai_function(input_text):
    # Your LLM call here
    return "AI response"

my_ai_function("Hello world")

Sources / references

Contribution Metadata

  • Last reviewed: 2026-05-26
  • Confidence: high