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Mnexium AI

p/mnexium-ai

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•3mo ago
Records: Structured Data for AI Applications
... required, and how to display them. Schemas are defined per-project and can be updated at any time. // JavaScript SDK await mnx.records.defineSchema('events', { title: { type: 'string', required: true, description: 'Event title' }, date: { type: 'string', required: true, description: 'Date (YYYY-MM-DD)' }, time: { type: 'string', description: 'Time (HH:MM)' }, location: { type: 'string', description: 'Location or address' }, description: { type: 'string', description: 'Additional details' }, }, { displayName: 'Events', description: 'Calendar events and appointments', }); Schemas support string, number, and reference types. Required fields are validated ... ... insert. # Python SDK mnx.records.define_schema('events', { 'title': { 'type': 'string', 'required': True, 'description': 'Event title' }, 'date': { 'type': 'string', 'required': True, 'description': 'Date (YYYY

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