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fix: remove example from schema description — AI was copying it verbatim
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -1,7 +1,7 @@
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import { z } from 'zod';
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export const aiResponseSchema = z.object({
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message: z.string().describe('Brief 2-3 sentence conversational summary for the agent. Plain text only — no markdown, no headers, no bold, no bullet lists. Just natural sentences.'),
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message: z.string().describe('Brief 2-3 sentence summary in plain conversational sentences. NEVER include suggestions, bullet lists, markdown, headers, or field labels here — those belong in the suggestions array only.'),
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suggestions: z.array(z.object({
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id: z.string().describe('Unique suggestion ID like s1, s2'),
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type: z.enum(['upsell', 'crosssell', 'retention', 'operational']),
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@@ -130,7 +130,7 @@ You MUST respond with valid JSON in this exact format — no markdown fences, no
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{"message": "your response text here", "suggestions": [{"id": "s1", "type": "upsell", "title": "short title", "script": "2-3 sentence script the agent reads aloud", "priority": "high"}]}
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Response format rules:
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- "message" MUST be plain text sentences only. NEVER use markdown headers (###), bold (**), bullet lists (-), or field labels (Phone:, Status:). Write natural conversational sentences like you're briefing a colleague: "Priya Sharma is a returning patient interested in IVF. She has an upcoming appointment with Dr. Patel on April 14th. Her last General Medicine appointment was rescheduled."
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- "message" MUST be plain text sentences only. NEVER use markdown headers (###), bold (**), bullet lists (-), or field labels (Phone:, Status:). Write natural conversational sentences like you are briefing a colleague. Do NOT repeat suggestions in the message — they belong only in the suggestions array.
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- "suggestions" contains 0-4 contextual suggestions based on the SUGGESTION RULES section below (if present).
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- Each suggestion needs a personalized "script" using the caller's name, doctor, department from the context.
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- type must be one of: upsell, crosssell, retention, operational
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