{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence"}],"enrichment":{"capability":"Braintrust is a Python SDK for logging, tracing, and evaluating AI applications, providing tools to instrument and assess model behavior against defined metrics.","skillfed_tags":["llm-evaluation","ai-observability","experiment-tracking"],"use_cases":["Run automated evaluations of LLM outputs against expected results and custom scoring functions.","Trace execution paths and log intermediate steps of AI applications for debugging and analysis.","Compare multiple model versions or prompts by running the same evaluation suite against each.","Monitor AI application behavior in production by instrumenting with Braintrust logging.","Integrate evaluation workflows into CI/CD pipelines using the CLI or programmatic API."],"what_it_does":"Braintrust is an SDK that integrates AI applications with a hosted evaluation and tracing platform. It lets you define evaluation tasks with input data, a task function, and scoring functions, then run those evaluations against the Braintrust backend to log results, trace execution, and compare model outputs against expected behavior. The core workflow involves wrapping your AI task in an Eval object, defining how to score correctness, and running the evaluation via CLI or programmatically.\n\nThe package depends on 10 runtime libraries including requests for HTTP communication, jsonschema for validation, tqdm for progress display, and sseclient-py for streaming responses. It supports optional integrations for OpenAI agents, OpenTelemetry, and Temporal workflows via extras. The SDK requires Python 3.10 and an API key to authenticate with the Braintrust service.","worth_installing":"Yes, if you are building or evaluating AI applications and want structured logging and evaluation infrastructure. The package is actively maintained, has low install friction, uses a permissive license, and carries no known vulnerabilities. The main constraint is the requirement for Python 3.10+ and a Braintrust API key; if you don't need hosted evaluation or tracing, a lighter alternative may suffice."},"id":"braintrust","links":{"html":"https://skillfed.io/packages/braintrust","md":"https://skillfed.io/packages/braintrust.md","pypi":"https://pypi.org/project/braintrust/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":"MIT","license_treatment":"permissive","name":"braintrust","python_support":"supports_current","summary":"SDK for integrating Braintrust"},"popularity":{"monthly_downloads":7783477,"position":1695,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.33.0"}
