genkit

import { configureGenkit, defineFlow, generate } from 'genkit'; import { googleGenai } from '@genkit-ai/google-genai'; import * as z from 'zod'; // Ensure you have `npm install genkit @genkit-ai/google-genai zod` // And set GOOGLE_API_KEY as an environment variable (e.g., in .env or your shell) // e.g., export GOOGLE_API_KEY='your-api-key' // Configure Genkit with a plugin for Google Generative AI configureGenkit({ plugins: [ googleGenai({ apiKey: process.env.GOOGLE_API_KEY ?? '', }), ], logLevel: 'debug', enableTracingAndMetrics: true, }); // Define input and output schemas using Zod for type safety const RecipeInputSchema = z.object({ mainIngredient: z.string().describe('The primary ingredient for the recipe.'), dietaryRestrictions: z.string().optional().describe('Any dietary restrictions (e.g., vegetarian, gluten-free).'), }); const RecipeOutputSchema = z.object({ title: z.string().describe('The title of the recipe.'), ingredients: z.array(z.string()).describe('List of ingredients.'), instructions: z.array(z.string()).describe('Step-by-step cooking instructions.'), prepTimeMinutes: z.number().int().positive().describe('Preparation time in minutes.'), }); // Define a Genkit flow to generate a recipe export const recipeGeneratorFlow = defineFlow( { name: 'recipeGenerator', inputSchema: RecipeInputSchema, outputSchema: RecipeOutputSchema, description: 'Generates a recipe based on a main ingredient and dietary restrictions.', }, async ({ mainIngredient, dietaryRestrictions }) => { const prompt = `Create a detailed recipe with ${mainIngredient} as the main ingredient.`; const restrictionsPrompt = dietaryRestrictions ? ` It must be ${dietaryRestrictions}.` : ''; const fullPrompt = prompt + restrictionsPrompt + ` Respond in JSON format strictly following the provided schema.`; const response = await generate({ model: googleGenai.model('gemini-1.5-flash'), // Use a suitable Gemini model prompt: fullPrompt, output: { schema: RecipeOutputSchema }, config: { temperature: 0.7 }, }); if (!response.output) { throw new Error('Failed to generate recipe output.'); } return response.output; } ); // To run this flow in development, you would typically use 'genkit start' // and interact via the Developer UI at http://localhost:4000/ or make HTTP calls. // Example of direct execution (for testing or serverless functions): async function runExample() { console.log('Running recipeGeneratorFlow...'); try { const recipe = await recipeGeneratorFlow({ mainIngredient: 'chicken', dietaryRestrictions: 'low-carb' }); console.log('Generated Recipe:', JSON.stringify(recipe, null, 2)); } catch (error) { console.error('Flow failed:', error); } } runExample();