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import { GoogleGenerativeAI } from "@google/generative-ai"; | |
// Configure API route options | |
export const config = { | |
api: { | |
bodyParser: { | |
sizeLimit: '10mb' // Increase the body size limit to 10MB | |
} | |
} | |
}; | |
export default async function handler(req, res) { | |
// Only allow POST requests | |
if (req.method !== 'POST') { | |
return res.status(405).json({ error: 'Method not allowed' }); | |
} | |
// Add retry configuration | |
const MAX_RETRIES = 2; | |
const RETRY_DELAY = 1000; // 1 second | |
let retryCount = 0; | |
// Function to wait for a delay | |
const wait = (ms) => new Promise(resolve => setTimeout(resolve, ms)); | |
try { | |
const { prompt, drawingData, customApiKey, generateTextOnly } = req.body; | |
// Validate prompt | |
if (!prompt) { | |
console.error('Missing prompt in request'); | |
return res.status(400).json({ error: 'Prompt is required' }); | |
} | |
// Log the API request details (excluding the full drawing data for brevity) | |
console.log('API Request:', { | |
prompt: prompt.substring(0, 100) + '...', | |
hasDrawingData: !!drawingData, | |
hasCustomApiKey: !!customApiKey, | |
generateTextOnly: !!generateTextOnly, | |
retryCount | |
}); | |
// Check API key | |
const apiKey = customApiKey || process.env.GEMINI_API_KEY; | |
if (!apiKey) { | |
console.error('Missing Gemini API key'); | |
return res.status(500).json({ error: 'API key is not configured' }); | |
} | |
// Retry loop for handling transient errors | |
while (true) { | |
try { | |
console.log(`Initializing Gemini AI with API key (attempt ${retryCount + 1}/${MAX_RETRIES + 1})`); | |
const genAI = new GoogleGenerativeAI(apiKey); | |
// Configure the model with settings based on the request type | |
console.log('Configuring Gemini model'); | |
const model = genAI.getGenerativeModel({ | |
model: "gemini-2.0-flash-exp-image-generation", | |
generationConfig: { | |
temperature: 1, | |
topP: 0.95, | |
topK: 40, | |
maxOutputTokens: 8192, | |
responseModalities: generateTextOnly ? ["text"] : ["image", "text"] | |
} | |
}); | |
// Handle text-only generation | |
if (generateTextOnly) { | |
console.log('Generating text-only response'); | |
// Make text-only API call | |
const result = await model.generateContent(prompt); | |
const response = await result.response; | |
// Extract text from response | |
const textResponse = response.text(); | |
console.log('Generated text response:', textResponse.substring(0, 100) + '...'); | |
return res.status(200).json({ | |
success: true, | |
textResponse: textResponse | |
}); | |
} | |
// For image generation, proceed as normal | |
// Prepare the generation content | |
let generationContent; | |
if (drawingData) { | |
console.log('Including drawing data in generation request'); | |
// If we have drawing data, include it in the request | |
generationContent = [ | |
{ | |
inlineData: { | |
data: drawingData, | |
mimeType: "image/png" | |
} | |
}, | |
{ text: prompt } | |
]; | |
} else { | |
console.log('Using text-only prompt for generation'); | |
// Text-only prompt if no drawing | |
generationContent = [{ text: prompt }]; | |
} | |
console.log(`Calling Gemini API for image generation (attempt ${retryCount + 1}/${MAX_RETRIES + 1})...`); | |
const result = await model.generateContent(generationContent); | |
console.log('Gemini API response received'); | |
const response = await result.response; | |
// Process the response to extract image data | |
let imageData = null; | |
if (!response?.candidates?.[0]?.content?.parts) { | |
console.error('Invalid response structure:', response); | |
throw new Error('Invalid response structure from Gemini API'); | |
} | |
for (const part of response.candidates[0].content.parts) { | |
if (part.inlineData) { | |
imageData = part.inlineData.data; | |
console.log('Found image data in response'); | |
break; | |
} | |
} | |
if (!imageData) { | |
console.error('No image data in response parts:', response.candidates[0].content.parts); | |
throw new Error('No image data found in response parts'); | |
} | |
console.log('Successfully generated image'); | |
return res.status(200).json({ | |
success: true, | |
imageData: imageData | |
}); | |
// If we reach here, we succeeded, so break out of the retry loop | |
break; | |
} catch (attemptError) { | |
// Only retry certain types of errors that might be transient | |
const isRetryableError = | |
attemptError.message?.includes('timeout') || | |
attemptError.message?.includes('network') || | |
attemptError.message?.includes('ECONNRESET') || | |
attemptError.message?.includes('rate limit') || | |
attemptError.message?.includes('503') || | |
attemptError.message?.includes('500') || | |
attemptError.message?.includes('connection'); | |
// Check if we should retry | |
if (retryCount < MAX_RETRIES && isRetryableError) { | |
console.log(`Retryable error encountered (${retryCount + 1}/${MAX_RETRIES}):`, attemptError.message); | |
retryCount++; | |
// Wait before retrying | |
await wait(RETRY_DELAY * retryCount); | |
continue; | |
} | |
// If we've exhausted retries or it's not a retryable error, rethrow | |
throw attemptError; | |
} | |
} | |
} catch (error) { | |
console.error('Error in /api/generate:', error); | |
// Check for specific error types | |
if (error.message?.includes('quota') || error.message?.includes('Resource has been exhausted')) { | |
return res.status(429).json({ | |
error: 'API quota exceeded. Please try again later or use your own API key.' | |
}); | |
} | |
if (error.message?.includes('API key')) { | |
return res.status(500).json({ | |
error: 'Invalid or missing API key. Please check your configuration.' | |
}); | |
} | |
if (error.message?.includes('safety') || error.message?.includes('blocked') || error.message?.includes('harmful')) { | |
return res.status(400).json({ | |
error: 'Content was blocked due to safety filters. Try a different prompt.' | |
}); | |
} | |
return res.status(500).json({ | |
error: error.message || 'An error occurred during generation.', | |
details: error.stack, | |
retries: retryCount | |
}); | |
} | |
} | |