Question: Can you suggest a tool that allows me to evaluate, log, and monitor AI applications in one place?

If you need a service to assess, log and monitor AI systems in one place, HoneyHive is a great option. It's an all-purpose AI evaluation and testing and observability service. With automated CI testing, production pipeline monitoring and dataset curation, HoneyHive can handle a range of use cases including debugging, online evaluation, user feedback and data analysis. It also comes with a playground for collaborative testing and deployment, making it a good option for teams building GenAI applications.

Another option worth considering is Humanloop. This service is geared for managing and optimizing Large Language Models (LLMs) applications. It includes a collaborative prompt management system with version control, an evaluation and monitoring suite for debugging, and tools for customization and optimization. Humanloop supports several LLM providers and offers Python and TypeScript SDKs for integration, so it's a good option for product teams and developers who want to improve AI reliability and performance.

For an enterprise-level option, Athina is an end-to-end platform for AI application experimentation, measurement and optimization. It offers real-time monitoring, cost tracking and customizable alerts, supports several frameworks, and exposes a GraphQL API. Athina also has flexible pricing options, making it a good option for AI teams of any size that want to streamline their workflow.

Last, Keywords AI is a unified DevOps platform for building, deploying and monitoring LLM-based AI applications. It offers a single API endpoint for multiple models, supports multiple concurrent calls without a latency penalty, and can be easily integrated with OpenAI APIs. The service includes a playground for testing and refining models, performance monitoring and data collection, so it's a good option for AI startups that want to focus on product development without worrying about infrastructure.