Hi, just recently got into all of this and started a workflow with n8n + evolution api. Essentially creating a movie bot which can fetch data from llm/serp/omdb api’s send back some info. One flow, is where I can ask the bot (webhook + gets triggered by specific @ command in message) details about a movie, it then searches this title in omdb database. However, sometimes, its not exact match (example its not Dune 2 but Dune Part Two) and returns errors. So I thought I would add a step where it asks a clarification questions and then searches the omdb database. I’ve managed to get it to send the clarification message, but how do I track a response and continue from there with 1 webhook URL? And for it to remember the movie titles, which the user ended up selecting then continue the flow to find the details. I hope this makes sense. Thanks in advance, new to all this.
is that something that you would want? and if not, well in general if you want to somehow store information then you would definitely need to have some form of database to keep track of this, maybe a google sheet or supabase would help do the job
Yes I think this might be it I need to learn about the memory part. Could you guide me on how to work this scenario?
So my bot is triggered by a whatsapp command @bot (evolution api webhook to get messages). It then goes to an AI agent that understands the message (ex Dune 2 box office) and sends the title to aan IDMB title search (which would come back wrong as Dune 2 is not correct). So I tried a sear query, I want it to send a clarification message back with multiple movies with Dune in it and the user has to respond (perhaps picking 1-5 response from list). But how do I get the agent to understand that the response is linked to the previous clarification inquiry and then based on their number chocie to then search for that movie title.
