Hi guys, Im creating a sales brief generator, where it’ll scrape the net using Tavily.
Version 1: i fix the queries but then let AI compile the output.
I’ve done one using a HTTP request node, where it I manually ‘fix’ the queries and was able to get the right output, but because there many queries/results, i sometimes faced issue where the language model itself timed out.
Version 2: Let AI determine the query and compile the output (video)
However, somehow the AI agent just runs indefinitely, initially I thought it was just because it ran through multiple queries, but then I realised the AI agent node was passing through data to Language model > HTTP request node back to AI agent node and back to language model again, causing it to loop indefinitely? Im not sure if im even understanding the flow correctly. It’s my first time working with HTTP request tools, so Im not sure if im setting it up properly.
Any pointers to help me understand it would be better, as I’m not too sure how the workflow ‘flows through the HTTP request node and the language model through the AI agent node.
Hope you guys understand what im saying, please help if possible. Thanks