This template is a chat endpoint that searches the web, logs useful results, and replies with an OpenAI assistant. A webhook receives the user message. Serper runs a Google search.
JavaScript normalizes title, link, and snippet. Supabase stores the keepers. GPT Assistants writes the reply, and the webhook response returns that text. Put the OpenAI key on the Assistants connection and the Serper key on the Serper connection.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
A webhook accepts the user prompt as JSON with a text field.
Serper runs a Google search for the query in the message.
JavaScript flattens title, link, and snippet. A filter can keep only results above a quality rule you set.
Supabase writes a row for each hit you want in the research log.
GPT Assistants sends the user text plus search context. The webhook response returns the assistant output.
Add a webhook trigger. Point your chat UI or client at that URL.
Add an OpenAI GPT Assistants connection, paste your OpenAI API key there, and add the send-message complete-flow step with your assistant id.
Add a Serper connection and a Google search step. Paste your Serper API key on that connection.
Add a Supabase connection and a create-row step for the table that stores research rows. Map columns in JavaScript first if the search payload is nested.
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