LLM Conversational Query
A 2-step recipe with Wolfram|Alpha. We can help you get access.
Recipe · 2 steps
LLM Conversational Query
with Wolfram|Alpha
Recognize a chat turn, then answer accepted turns with the LLM API.
- Classify the conversational turn with the Fast Query Recognizer to decide whether Wolfram|Alpha can usefully answer it before calling the LLM API.
- Send the accepted turn to the LLM API to get a chat-ready structured answer with interpretation, result, and a link to full results.
What you'll need to have ready
- appid: Wolfram|Alpha AppID used to authenticate every request.
- input: The conversational query / chat turn to answer.
- mode: Recognizer mode, either Default for typed turns or Voice for spoken turns.
- maxchars: Maximum number of characters in the LLM API response.
- units: Measurement system preference, either metric or imperial.
For your developer
Arazzo workflow wolframalpha:llm-conversational-query, 2 operations: recognizeQuery → queryLlmApi. Specs on APIs.io.