Question: Is there a platform that provides a range of tools for AI development, including evaluations, logging, and continuous integration?

If you're looking for a platform with a lot of tools for AI development, including testing, logging, and continuous integration, Braintrust is another good option. This enterprise AI development and integration platform offers features like scoring, logging and visualization of output; continuous integration to ensure quality and consistency; and integration with human review to gather feedback from end-users and subject matter experts. It also comes with a prompt playground for testing and optimizing AI models and has a range of plans, including a free "Builder" plan and an "Enterprise" plan with custom pricing.

Another good option is HoneyHive, a mission-critical AI evaluation, testing and observability platform. It offers a single environment for collaboration, testing and evaluation of AI applications, with automated CI testing, observability with production pipeline monitoring and debugging, and dataset curation and labeling. HoneyHive also supports prompt management and versioning, automated evaluators, and human feedback collection, with pricing plans that include a free Developer plan and a customizable Enterprise plan.

LastMile AI is a full-stack developer platform designed to help engineers productionize generative AI applications. It offers features like automated hallucination detection and evaluation, an RAG Debugger for better performance, and a Service Mesh for unified API gateway access to third-party models. The platform also offers a notebook-inspired environment for prototyping and building apps with multiple AI models, making it easier to deploy production-ready generative AI applications.

For a unified DevOps platform, check out Keywords AI. This platform offers a single API endpoint for multiple LLM models, supports hundreds of concurrent calls without latency penalty, and integrates easily with OpenAI APIs. It also offers visualization and logging through pre-built dashboards, performance monitoring with auto-evaluations, and data collection and fine-tuning for optimizing model performance. Keywords AI is designed to let developers focus on building products rather than infrastructure.