> For the complete documentation index, see [llms.txt](https://infronai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://infronai.gitbook.io/docs/support/privacy-logging.md). # Privacy and Logging When using AI through Infron AI, whether via the chat interface or the API, your prompts and responses go through multiple touchpoints. You have control over how your data is handled at each step. ### Within Infron AI Infron AI does not store your prompts or responses. Any categorization of your prompts is stored completely anonymously and never associated with your account or user ID. Infron AI does store metadata (e.g. number of prompt and completion tokens, latency, etc) for each request. ### Provider Policies #### Training on Prompts Each provider on Infron AI has its own data handling policies. We reflect those policies in structured data on each AI endpoint that we offer. Wherever possible, Infron AI works with providers to ensure that prompts will not be trained on, but there are exceptions. If you opt out of training in your account settings, Infron AI will not route to providers that train. This setting has no bearing on Infron AI's own policies and what we do with your prompts. #### Data Retention & Logging Providers also have their own data retention policies, often for compliance reasons. Any user of Infron AI can ignore providers that don't meet their own data retention requirements. --- # 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://infronai.gitbook.io/docs/support/privacy-logging.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.