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Initial commit with proper LFS tracking
5f07a23
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
});
}
}