If you're looking for a tool that offers a single view into your GenAI and LLM applications to help you manage performance, HoneyHive is a good option. This platform provides a single LLMOps environment for collaboration, testing and evaluation of applications. It includes features like automated CI testing, production pipeline monitoring and debugging, dataset curation, labeling and versioning, and prompt management. HoneyHive supports multiple models through integrations with common GPU clouds and has 100+ models available through those integrations.
Another option is OpenLIT, an open-source application observability tool that uses OpenTelemetry to monitor GenAI and LLM applications. It collects traces and metrics into a single interface, providing real-time data and performance insights. With fine-grained insights into LLM performance and costs, OpenLIT is geared for developers who want to optimize application performance and scalability.
For a more comprehensive platform, check out Athina. This end-to-end platform enables experimentation, measurement and optimization of AI applications. It provides real-time monitoring, cost tracking and customizable alerts, as well as LLM observability, experimentation and analytics. Athina's flexible pricing tiers are good for teams of any size, and it's a good option for a more mature AI application management.
Last, Humanloop is designed to help you manage and optimize LLM application development. It includes a collaborative prompt management system, an evaluation and monitoring suite, and customization and optimization tools. Humanloop supports common LLM providers and has SDKs for easy integration, so it's a good option for both rapid prototyping and enterprise deployment.