Braintrust is a platform for evaluating and shipping AI products. To learn more about Braintrust or sign up for free, visit our website or check out the docs.

This repository contains the Python and Javascript SDKs for Braintrust. The SDKs include utilities to:

• Log experiments and datasets to Braintrust
• Run evaluations (via the Eval framework)
• Manage an on-premises installation of Braintrust (Python)

First, install the Braintrust SDK:

npm install braintrust autoevals

or

yarn add braintrust autoevals

Then, create a file named tutorial.eval.ts with the following code:

import { Eval } from "braintrust";
import { LevenshteinScorer } from "autoevals";

Eval("Say Hi Bot", {
  data: () => {
    return [
      {
        input: "Foo",
        expected: "Hi Foo",
      },
      {
        input: "Bar",
        expected: "Hello Bar",
      },
    ]; // Replace with your eval dataset
  },
  task: (input) => {
    return "Hi " + input; // Replace with your LLM call
  },
  scores: [LevenshteinScorer],
});

Then, run the following command:

BRAINTRUST_API_KEY=<YOUR_API_KEY> \
    npx braintrust eval tutorial.eval.ts

Install the library with pip.

pip install braintrust

Then, create a file named eval_tutorial.py with the following code:

from braintrust import Eval
from autoevals import LevenshteinScorer

Eval(
  "Say Hi Bot",
  data=lambda: [
      {
          "input": "Foo",
          "expected": "Hi Foo",
      },
      {
          "input": "Bar",
          "expected": "Hello Bar",
      },
  ],  # Replace with your eval dataset
  task=lambda input: "Hi " + input,  # Replace with your LLM call
  scores=[LevenshteinScorer],
)

Then, run the following command:

BRAINTRUST_API_KEY=<YOUR_API_KEY> \
  braintrust eval eval_tutorial.py

For more information, check out the docs:

• TypeScript
• Python