If you want to monitor and improve your AI systems in the most effective way, Athina could be a good choice. This end-to-end platform for enterprise GenAI teams offers a full stack for experimentation, measurement, and optimization. It offers real-time monitoring, cost tracking, customizable alerts, and support for popular frameworks. Flexible pricing and powerful tools for LLM Observability, Experimentation, and Analytics means teams can systematically test new prompts, monitor output quality, and deploy with confidence.
Another good option is HoneyHive, a mission-critical AI evaluation, testing, and observability platform. HoneyHive offers a single LLMOps environment for collaboration, testing, and evaluating applications. It offers automated CI testing, production pipeline monitoring, dataset curation, prompt management, and distributed tracing. With support for 100+ models via popular GPU clouds and flexible pricing plans, HoneyHive is great for debugging, online evaluation, and user feedback.
Humanloop is geared for managing and optimizing Large Language Models (LLMs). It helps with common issues like workflow inefficiencies and manual evaluation with a collaborative prompt management system, an evaluation and monitoring suite, and tools for connecting private data and fine-tuning models. It supports popular LLM providers and offers SDKs for easy integration, making it a good choice for product teams and developers who want to increase efficiency and AI reliability.
For a more complete solution, you might want to look at LastMile AI, a full-stack developer platform for generative AI applications. It offers features like Auto-Eval for automated hallucination detection, RAG Debugger for better performance, and AIConfig for version control and prompt optimization. With support for multiple AI models and a notebook-inspired environment for prototyping, LastMile AI lets engineers productionize generative AI applications with confidence.