Integrate genkit with kimi

gistfile1.txt

// Load environment variables from .env.local first
import dotenv from 'dotenv';
dotenv.config({ path: '.env.local' });

import { openAI } from '@genkit-ai/compat-oai/openai';
import { genkit, z } from 'genkit';

import express from 'express';

// Set environment variables for Moonshot API
// console.log('MOONSHOT_API_KEY loaded:', process.env.MOONSHOT_API_KEY ? 'YES ✅' : 'NO ❌');
process.env.OPENAI_API_KEY = process.env.MOONSHOT_API_KEY;
process.env.OPENAI_BASE_URL = 'https://api.moonshot.cn/v1';

// Initialize Genkit with OpenAI plugin configured for Moonshot's Kimi API
const ai = genkit({
  plugins: [
    openAI(),
  ],
  // Available Kimi models:
  // moonshot-v1-8k (8K context)
  // moonshot-v1-32k (32K context) 
  // moonshot-v1-128k (128K context)
  model: openAI.model('moonshot-v1-32k', {
    temperature: 0.8,
  }),
});

// Define input schema
const RecipeInputSchema = z.object({
  ingredient: z.string().describe('Main ingredient or cuisine type'),
  dietaryRestrictions: z.string().optional().describe('Any dietary restrictions'),
});

// Define output schema
const RecipeSchema = z.object({
  title: z.string(),
  description: z.string(),
  prepTime: z.string(),
  cookTime: z.string(),
  servings: z.number(),
  ingredients: z.array(z.string()),
  instructions: z.array(z.string()),
  tips: z.array(z.string()).optional(),
});

// Define a recipe generator flow
export const recipeGeneratorFlow = ai.defineFlow(
  {
    name: 'recipeGeneratorFlow',
    inputSchema: RecipeInputSchema,
    outputSchema: RecipeSchema,
  },
  async (input) => {
    // Create a detailed prompt that specifies the exact JSON format needed
    const prompt = `创建一个食谱，要求如下：
      主要成分: ${input.ingredient}
      饮食限制: ${input.dietaryRestrictions || 'none'}

返回一个JSON对象，要求如下：
- title: 食谱名称
- description: 简要描述
- prepTime: 准备时间 (例如: "15 分钟")
- cookTime: 烹饪时间 (例如: "30 分钟") 
- servings: 份数 (例如: 2)
- ingredients: 食材 (例如: ["1 个牛油果", "2 杯面粉"])
- instructions: 步骤 (例如: ["1. 将牛油果切成小块", "2. 将面粉倒入碗中"])
- tips: 提示 (例如: ["1. 将牛油果切成小块", "2. 将面粉倒入碗中"])

确保包含"description"字段，并使用"prepTime"/"cookTime" (不是"preparation_time"/"cooking_time")。`;

    // Generate structured recipe data using the same schema
    const { output } = await ai.generate({
      prompt,
      output: { schema: RecipeSchema },
    });

    if (!output) throw new Error('Failed to generate recipe');

    return output;
  }
);

// Run the flow
async function main() {
  const recipe = await recipeGeneratorFlow({
    ingredient: '牛油果',
    dietaryRestrictions: '素食者'
  });

  console.log(recipe);
}

// Commented out for now to avoid API calls during development
// main().catch(console.error);

//console.log('Genkit app started successfully! Recipe generator flow is ready.');

const app = express();
app.use(express.json());

app.post('/api/recipe', async (req, res) => {
  try {
    const { ingredient, dietaryRestrictions } = req.body;
    const result = await recipeGeneratorFlow({ ingredient, dietaryRestrictions });
    res.json(result);
  } catch (err: any) {
    res.status(500).json({ error: err.message });
  }
});

const PORT = 3000;
app.listen(PORT, () => {
  console.log(`API server running on http://localhost:${PORT}`);
});