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AI Assistant Component

The AI Assistant component provides AI-powered suggestions for creating and improving view schemas. It allows users to describe their desired view in natural language and generates corresponding schema definitions.

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Features

  • Natural Language Interface: Create views by describing them in plain language
  • Schema Generation: Convert descriptions into valid view schemas
  • Field Suggestions: Intelligent suggestions for field types and properties
  • Layout Recommendations: Suggestions for optimal layout organization
  • Internationalization Support: Generate schemas with i18n support

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Basic Usage

import { AIPromptPanel } from '@repo/view-builder/ai/AIPromptPanel';
import { SchemaProvider } from '@repo/view-builder/hooks/useSchemaState';

function MyAIAssistant() {
  return (
    <SchemaProvider>
      <AIPromptPanel />
    </SchemaProvider>
  );
}

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Prompt Examples

The AI Assistant understands various types of prompts:
  • Create a form for user registration with name, email, and password fields
  • Build a table view for displaying products with columns for name, price, and inventory
  • Generate a detail view for customer information with contact details and order history
  • Add validation to all required fields in this form
  • Organize these fields into logical sections

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Customization

You can customize the AI Assistant appearance and behavior: 
<AIPromptPanel
  theme="light"
  placeholderText="Describe your view here..."
  suggestedPrompts={[
    "Create a login form",
    "Build a product catalog table",
    "Generate a user profile view"
  ]}
  maxTokens={1000}
/>

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Integration with Schema State

The AI Assistant automatically updates the schema state: 
import { AIPromptPanel } from '@repo/view-builder/ai/AIPromptPanel';
import { useSchemaState } from '@repo/view-builder/hooks/useSchemaState';

function AISchemaGenerator() {
  const { setSchema } = useSchemaState();
  
  const handleSchemaGenerated = (newSchema) => {
    setSchema(newSchema);
  };
  
  return <AIPromptPanel onSchemaGenerated={handleSchemaGenerated} />;
}

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Advanced Usage

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Custom Prompt Templates

You can provide custom prompt templates: 
import { AIPromptPanel } from '@repo/view-builder/ai/AIPromptPanel';

const promptTemplates = [
  {
    name: 'Contact Form',
    prompt: 'Create a contact form with name, email, subject, and message fields. Add appropriate validation for each field.'
  },
  {
    name: 'Product Table',
    prompt: 'Build a table for managing products with columns for ID, name, category, price, and inventory. Include sorting and filtering options.'
  },
  {
    name: 'User Profile',
    prompt: 'Generate a detail view for user profiles with sections for personal information, contact details, and account settings.'
  }
];

function TemplatedAIPanel() {
  return <AIPromptPanel promptTemplates={promptTemplates} />;
}

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Schema Enhancement

You can use the AI Assistant to enhance existing schemas: 
import { AIPromptPanel } from '@repo/view-builder/ai/AIPromptPanel';
import { useSchemaState } from '@repo/view-builder/hooks/useSchemaState';

function SchemaEnhancer() {
  const { schema, setSchema } = useSchemaState();
  
  const handleEnhance = async (enhancementPrompt) => {
    // Example: "Add validation to all fields" or "Organize fields into sections"
    const enhancedSchema = await enhanceSchemaWithAI(schema, enhancementPrompt);
    setSchema(enhancedSchema);
  };
  
  return (
    <div>
      <h3>Enhance Schema</h3>
      <AIPromptPanel 
        mode="enhance" 
        existingSchema={schema} 
        onSchemaGenerated={setSchema}
        suggestedPrompts={[
          "Add validation to all fields",
          "Organize fields into logical sections",
          "Add internationalization support"
        ]}
      />
    </div>
  );
}

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Multilingual Support

The AI Assistant supports generating schemas with internationalization: 
import { AIPromptPanel } from '@repo/view-builder/ai/AIPromptPanel';

function MultilingualAIPanel() {
  return (
    <AIPromptPanel 
      i18nSupport={true}
      supportedLocales={['en', 'tr', 'es', 'de']}
      defaultLocale="en"
    />
  );
}