Question: I'm looking for a way to integrate multiple large language models into my app without having to manage individual APIs and subscriptions.

Unify is a dynamic routing service that optimizes LLM use by sending prompts to the best available endpoint across multiple providers with a single API key. It offers features like standardized APIs, customizable routing based on cost and latency, and live benchmarks to ensure the fastest and most economical use of multiple LLMs. It also charges with a credits system with no extra fees, so it's a flexible and cheap option.

Another option is Kolank, which offers a single API and browser interface to query multiple LLMs, including open-source and non-open-source models. Kolank offers smart routing to send queries to the most accurate model, and it offers resilience by sending queries to other models if one is down. The service is designed to let developers reduce latency and improve reliability while reducing costs and development complexity.

If you want a full DevOps platform, Keywords AI is a possibility. It's a unified platform for building, deploying and monitoring LLM-based AI applications with a single API endpoint for multiple models. The platform can handle hundreds of concurrent calls without a latency penalty and can be easily integrated with OpenAI APIs, so it's a good option for AI startups.

For a scalable and inexpensive option, check out the AIML API. The service lets developers query more than 100 AI models with a single API, with serverless inference and a simple, predictable pricing model. It's designed to be highly scalable and reliable, so it's a good option for projects that require fast and reliable access to a wide range of AI models.