Question: Is there a tool that integrates with popular AI frameworks and tracks performance in real-time?

If you need a tool that works with mainstream AI frameworks and can monitor performance in real-time, Athina could be a good choice. It's a full stack for experimenting with, measuring and optimizing AI software, with support for mainstream frameworks and real-time monitoring, cost tracking and customizable alerts. Among its features are LLM Observability, Experimentation, Analytics and Insights, with tiered pricing that can handle teams of various sizes.

Another strong contender is Humanloop, which is geared specifically for managing and optimizing Large Language Model (LLM) software. It's a collaborative environment for developers, product managers and domain experts, with a prompt management system with version control, an evaluation and monitoring suite, and customization and optimization tools. Humanloop integrates with mainstream LLM suppliers and can be used through Python and TypeScript software development kits.

If you're looking for something more specialized, check out HoneyHive, which provides an environment for AI evaluation, testing and observability. It includes features like automated CI testing, production pipeline monitoring, dataset curation and distributed tracing. HoneyHive supports more than 100 models and has integrations with mainstream GPU clouds, so it's good for teams that need serious AI testing and deployment tools.

Last, Keywords AI is a DevOps platform for building, deploying and monitoring LLM-based AI software. With a single API endpoint for multiple models, easy integration with OpenAI APIs, and performance monitoring with auto-evaluations, Keywords AI is designed to handle the entire life cycle of AI software development so developers can concentrate on making products instead of infrastructure.