An AI gateway and observability platform that tracks every LLM request. It provides the monitoring, caching, and debugging tools needed to manage production AI agents.

A comprehensive developer platform for building, testing, and monitoring LLM applications. It features a suite of tools for prompt engineering, evaluation, and observability.

A tool for model distillation and fine-tuning that allows developers to create smaller, faster, and cheaper custom models by learning from the outputs of larger frontier models like GPT-4.

A comprehensive platform for debugging, testing, evaluating, and monitoring LLM applications. Built by the LangChain team, it provides the visibility needed to move from prototype to production with confidence.

A CLI tool and library for testing and evaluating LLM outputs. It allows developers to run systematic benchmarks across different prompts and models to ensure quality and prevent regressions.

An open-source observability and analytics platform for AI agents. It features tools for prompt management, cost tracking, and user feedback, with a strong focus on privacy and self-hosting.

An AI model distillation and fine-tuning platform that allows developers to create smaller, faster, and more accurate custom models. It focuses on using frontier model outputs to train specialized vertical models for production.

Best AI Evaluation Platforms 2026: Braintrust vs Promptfoo vs Langfuse

Master AI Automation 2026 and Generative Engine Optimization. Comparing Braintrust, Promptfoo, and Langfuse for LLM evaluation, prompt testing, red teaming, and observability.