# Providers Overview ### What are Providers in Waterflai? In Waterflai, providers are the services that offer access to AI models, particularly Large Language Models (LLMs). These providers form the foundation of your AI applications, enabling you to leverage state-of-the-art AI capabilities in your projects. ### What You'll Learn in This Section * How to set up and manage connections to different AI model providers * Understanding the various AI models available and their capabilities * Guidance on choosing the right models for your specific use cases * Best practices for working with multiple providers ### Key Topics * **Providers Space**: Learn how to navigate and use the dedicated area for managing your provider connections. * **Providers Setup**: Step-by-step guides on setting up connections to popular providers like OpenAI, Google, and Anthropic. * **AI Models**: Detailed information about the different types of AI models available through various providers. * **Choosing the Right Models**: Strategies and considerations for selecting the most appropriate models for your projects. Whether you're new to working with AI providers or looking to optimize your use of multiple models, this section will equip you with the knowledge to make the most of Waterflai's multi-provider support. Let's begin by exploring the Providers Space and setting up your first provider connection! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.waterflai.ai/providers/providers-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.