Genkit JS

# Genkit JS Implementation for Customer Support Agent

```javascript
import { generate } from '@genkit-ai/ai'
import { z } from 'zod'

// Define the flow for customer support responses
export async function customerSupportFlow(userQuery) {
  try {
    // Generate a response using Genkit's generate function
    const response = await generate({
      model: 'gemini-1.5-flash',
      prompt: `You are a customer support agent for Acme Corp. Respond to the following query professionally:
      ${userQuery}`,
      output: {
        schema: z.object({
          answer: z.string(),
          confidence: z.number().min(0).max(1),
          suggestedActions: z.array(z.string()).optional()
        })
      }
    });

    // Log the interaction for analytics
    console.log(`[Support Agent] Query: "${userQuery}" | Response: "${response.answer}"`);

    return response;
  } catch (error) {
    console.error('Error generating support response:', error);
    return {
      answer: "I apologize for the inconvenience. Our team will contact you shortly.",
      confidence: 0.1,
      error: error.message
    };
  }
}

// Example usage
customerSupportFlow("How do I reset my password?")
  .then(console.log)
  .catch(console.error);
```

## Key Features Implemented:
- **Structured Output**: Uses Zod schema for consistent response format
- **Error Handling**: Graceful degradation with fallback responses
- **Logging**: Tracks queries for performance monitoring
- **Optimized Model**: Uses 'gemini-1.5-flash' for cost-efficient responses