> For the complete documentation index, see [llms.txt](https://docs.quantware.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.quantware.app/values/openai-api-compatible.md). # OpenAI API Compatible QuantWare provides seamless integration with existing OpenAI clients via the **QuantWare API** base **URL**, allowing developers to adopt our platform with minimal changes to their current setup. This compatibility ensures that applications, scripts, and workflows built for OpenAI can work effortlessly with QuantWare, reducing the learning curve and accelerating development. Our API is designed to support familiar request formats, authentication methods, and response structures, making the transition smooth and straightforward. Developers can immediately leverage **QuantWare’**s advanced AI models for text, image, and other generative tasks while maintaining the tools and practices they already rely on. By combining cutting-edge AI capabilities with effortless integration, **QuantWare** empowers teams to innovate faster, experiment freely, and deploy powerful solutions without disrupting existing systems. ``` // QUANTWARE // ``` --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.quantware.app/values/openai-api-compatible.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.