mindcraft/src/models/groq.js

import Groq from 'groq-sdk'
import { getKey } from '../utils/keys.js';

// THIS API IS NOT TO BE CONFUSED WITH GROK!
// Go to grok.js for that. :)

// Umbrella class for everything under the sun... That GroqCloud provides, that is.
export class GroqCloudAPI {

    constructor(model_name, url, params) {

        this.model_name = model_name;
        this.url = url;
        this.params = params || {};

        // Remove any mention of "tools" from params:
        if (this.params.tools)
            delete this.params.tools;
        // This is just a bit of future-proofing in case we drag Mindcraft in that direction.

        // I'm going to do a sneaky ReplicateAPI theft for a lot of this, aren't I?
        if (this.url)
            console.warn("Groq Cloud has no implementation for custom URLs. Ignoring provided URL.");

        this.groq = new Groq({ apiKey: getKey('GROQCLOUD_API_KEY') });
        // Direct image data in sendRequest is not supported by this wrapper.
        // Groq may offer specific vision models/APIs, but this standard chat method assumes text.
        this.supportsRawImageInput = false;

    }

    async sendRequest(turns, systemMessage, imageData = null, stop_seq = null) {
        if (imageData) {
            console.warn(`[Groq] Warning: imageData provided to sendRequest, but this method in groq.js does not support direct image data embedding for model ${this.model_name}. The image will be ignored.`);
        }
        // Construct messages array
        let messages = [{"role": "system", "content": systemMessage}].concat(turns);

        let res = null;

        try {
            console.log("Awaiting Groq response...");

            // Handle deprecated max_tokens parameter
            if (this.params.max_tokens) {
                console.warn("GROQCLOUD WARNING: A profile is using `max_tokens`. This is deprecated. Please move to `max_completion_tokens`.");
                this.params.max_completion_tokens = this.params.max_tokens;
                delete this.params.max_tokens;
            }

            if (!this.params.max_completion_tokens) {
                this.params.max_completion_tokens = 4000;
            }

            let completion = await this.groq.chat.completions.create({
                "messages": messages,
                "model": this.model_name || "llama-3.3-70b-versatile",
                "stream": false,
                "stop": stop_seq,
                ...(this.params || {})
            });

            res = completion.choices[0].message;

            res = res.replace(/<think>[\s\S]*?<\/think>/g, '').trim();
        }
        catch(err) {
            if (err.message.includes("content must be a string")) {
                res = "Vision is only supported by certain models.";
            } else {
                console.log(this.model_name);
                res = "My brain disconnected, try again.";
            }
            console.log(err);
        }
        return res;
    }

    async sendVisionRequest(messages, systemMessage, imageBuffer) {
        const imageMessages = messages.filter(message => message.role !== 'system');
        imageMessages.push({
            role: "user",
            content: [
                { type: "text", text: systemMessage },
                {
                    type: "image_url",
                    image_url: {
                        url: `data:image/jpeg;base64,${imageBuffer.toString('base64')}`
                    }
                }
            ]
        });
        
        // sendVisionRequest formats its own message array; sendRequest here should not process new imageData.
        return this.sendRequest(imageMessages, systemMessage, null, stop_seq);
    }

    async embed(_) {
        throw new Error('Embeddings are not supported by Groq.');
    }
}