llm.js

// Default configuration
const DEFAULT_CONFIG = {
    model: 'deepseek-ai/DeepSeek-V2.5',
    temperature: 0.7,
    max_tokens: 2048,
    top_p: 0.95
};
const { HfInference } = require('@huggingface/inference');

// Initialize HuggingFace client
const hf = new HfInference(process.env.HF_API_TOKEN);

const generateHtml = async(req, res) => {
    try {
        const userPrompt = req.query.prompt;
        
        if (!userPrompt) {
            return res.status(400).json({ 
                error: 'Missing required "prompt" query parameter' 
            });
        }

        // Build configuration by merging defaults with any provided query parameters
        const config = {
            ...DEFAULT_CONFIG,
            ...(req.query.model && { model: req.query.model }),
            ...(req.query.temperature && { temperature: parseFloat(req.query.temperature) }),
            ...(req.query.max_tokens && { max_tokens: parseInt(req.query.max_tokens) }),
            ...(req.query.top_p && { top_p: parseFloat(req.query.top_p) })
        };

        // Create the system and user messages
        const messages = [
            {
                role: "system",
                content: `You are a specialized AI model for generating webpage content. 
Your responses must always be valid HTML that can be directly rendered in a browser.
You can include JavaScript and CSS within appropriate tags if the request calls for interactive elements.
Ensure all HTML is properly structured and follows the specified framework requirements.
Generate only the HTML content - do not include any explanations or markdown.
Do not wrap the response in code blocks or quotes - respond with pure HTML.`
            },
            {
                role: "user",
                content: userPrompt
            }
        ];

        // Make chat completion call to HuggingFace with merged configuration
        const result = await hf.chatCompletion({
            ...config,
            messages: messages
        });

        // Extract generated HTML from the response
        const generatedHtml = result.choices[0].message.content 

        // Validate that the response contains HTML

        /* Not a valid check... 
        if (!generatedHtml.includes('<')) {
            throw new Error('Generated content does not appear to be valid HTML');
        } */

        // Set content type to HTML and send response
        res.setHeader('Content-Type', 'text/html');
        res.send(generatedHtml);

    } catch (error) {
        console.error('HTML generation error:', error);
        res.status(500).json({ 
            error: error.message,
            details: error.message 
        });
    }
};

module.exports = {generateHtml}