Question: Is there a platform that provides a suite of tools for managing and deploying prompts to custom endpoints for Large Language Models?

If you're looking for a full-fledged platform to manage and deploy prompts to custom endpoints for Large Language Models, PROMPTMETHEUS could be just what you're looking for. It has a broad range of tools to create, test, optimize and deploy prompts to more than 80 LLMs from multiple vendors. The platform includes a prompt toolbox, performance testing and deployment to custom endpoints, so you can easily integrate with services like Notion, Zapier and Airtable. With four pricing tiers, PROMPTMETHEUS is adaptable to teams of different sizes and budgets.

Another good option is Vellum, which is geared for managing the life cycle of LLM-powered apps. It includes a range of tools for prompt engineering, semantic search, prompt chaining, evaluation and monitoring. Vellum is geared for enterprise-scale apps with strong security and privacy controls, so it's a good option for large-scale use. Among its abilities are fast prompt engineering, complex multi-step chain composition and large-scale prompt evaluation.

For a more collaborative approach, Humanloop offers a platform that tries to solve some of the pain points of LLM app development. It includes a collaborative prompt management system, version control and an evaluation suite for debugging and performance monitoring. With support for common LLM providers and integration with Python and TypeScript SDKs, Humanloop is geared for product teams and developers who want to increase efficiency and reliability in AI development. The platform also supports enterprise deployments with features like SSO and role-based access controls.