> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/misc/release-notes/november-27th-mentions-mito-ai-server.md). # November 27th - @ Mentions, Mito AI Server ### @ Mentions @ mentions make it easier than ever before to reference your variables, dataframes, and column headers in the AI chat. Type `@` in the AI chat input, and a smart dropdown appears displaying all available variables in your notebook. Select any variable to automatically include it in your prompt, providing the AI with precise context about what variables it should interact with. The result is faster prompting and more accurate AI responses. ### Mito AI Server Mito now comes batteries included. When using the Mito AI server, you no longer need to provide your own OPENAI\_API\_KEY. Instead, use ours for free to get started. Once you reach the free tier limit, either provide your own keys or upgrade to Mito Pro for more AI completions. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.trymito.io/misc/release-notes/november-27th-mentions-mito-ai-server.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.