If you're looking for a platform that uses AI to automatically diagnose and resolve errors in your application, HoneyHive is a great option. It offers a comprehensive suite of features including automated CI testing, observability with production pipeline monitoring, and debugging LLM failures in production. The platform supports over 100 models and integrates with popular GPU clouds, making it a robust choice for teams building GenAI applications.
Another excellent platform is LastMile AI, which helps engineers productionize generative AI applications with ease. It includes features like Auto-Eval for automated hallucination detection, RAG Debugger for unified OpenTelemetry traces, and AIConfig for prompt and model parameter optimization. This platform is particularly useful for developers looking to deploy production-ready generative AI applications.
For those focusing on Large Language Model (LLM) applications, Deepchecks offers a solution to automate evaluation, identify issues like hallucinations and bias, and correct them. It uses a "Golden Set" approach with automated annotation and manual overrides to ensure high-quality LLM applications. Deepchecks provides various pricing tiers, making it accessible for different development stages.
Lastly, Humanloop is designed to manage and optimize the development of LLM applications. It features a collaborative prompt management system, evaluation and monitoring suite, and customization tools. Humanloop supports popular LLM providers and offers integration through Python and TypeScript SDKs, making it a versatile option for developers and product teams.