> For the complete documentation index, see [llms.txt](https://docs.qolaba.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qolaba.ai/chatbot/toolkit/run-code.md). # Run Code The Run Code tool enables the chatbot to write and execute code within the chat — returning live output, calculations, and results directly in the conversation. *** #### What It Does When Run Code is enabled, the model can write a script and execute it — not just generate code as text. You get actual output, not a suggestion of what the output might be. Common use cases: * Data analysis and transformation * Algorithm testing and debugging * Mathematical and statistical calculations * Automation script development * Processing and summarizing datasets *** #### How to Enable It Toggle **Run Code** on in the Toolkit panel and describe what you need in your prompt. **Example prompt:** ``` Calculate the month-over-month growth rate from this dataset and return the results as a formatted table. ``` {% hint style="info" %} Combine Run Code with Spreadsheet Analysis for data-heavy tasks — upload a CSV, enable both tools, and ask the model to clean, analyze, and return structured results in one pass. {% endhint %} --- # 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.qolaba.ai/chatbot/toolkit/run-code.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.