> For the complete documentation index, see [llms.txt](https://flowtestai.gitbook.io/flowtestai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://flowtestai.gitbook.io/flowtestai/flow-nodes/complex-node.md). # Complex Node This is the most interesting node in my opinion. One can imagine each flow as a utility/function that can be referenced by other flows. For Instance, let's say my I have a workflow 1 that takes a user's query, sends it to an llm to get some output. Now we want to check if the llm output does not contain too strong of a language or does not contain some profanity. Now we can create another workflow 2 that does this checking and we can refer that in workflow 1 via a complex node. --- # 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://flowtestai.gitbook.io/flowtestai/flow-nodes/complex-node.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.