Structured Output
The Structured Output node runs after the conversation ends. It uses an LLM to extract structured data from the full conversation transcript — returning a JSON object with the fields you define. You can then pipe the result to a Webhook.Adding a Structured Output node
- Drag the Structured Output node from the sidebar (Post-Processing category) onto the canvas
- Connect the End node’s output to the Structured Output node’s
endhandle - Connect an LLM node to its
llm_inhandle - Define the schema fields you want extracted
- Optionally, connect the Structured Output node’s output to a Webhook node
Parameters
Schema field types
Output
The extracted data is available as a JSON object matching your schema. When chained to a Webhook, it is sent as thestructuredOutput field in the POST body:
Typical pattern
Use cases
- Extract leads (name, email, interest level) from a sales call
- Classify support tickets and collect issue details at the end of the call
- Score call quality or customer sentiment
- Build a CRM record automatically from each conversation