Most data questions start in plain English.
"Which customers spent the most?"
"How many orders are pending?"
"What products generated revenue last month?"
Someone can turn those questions into SQL, but that usually means waiting on a developer, analyst, or dashboard update.
This Python example shows how to build a small natural language to SQL API with Telnyx AI Inference.
Code:
Telnyx AI skills and toolkits:
Chat Completions API:
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