sfdx-hardis/lib/common/aiProvider/openaiProvider.js

Swiss-army-knife Toolbox for Salesforce. Allows you to define a complete CD/CD Pipeline. Orchestrate base commands and assist users with interactive wizards

import { OpenAI } from "openai";
import { AiProviderRoot } from "./aiProviderRoot.js";
import c from "chalk";
import { uxLog } from "../utils/index.js";
export class OpenAiProvider extends AiProviderRoot {
    openai;
    constructor() {
        super();
        this.openai = new OpenAI();
    }
    getLabel() {
        return "OpenAi connector";
    }
    async promptAi(promptText, template = null) {
        if (!this.checkMaxAiCallsNumber()) {
            const maxCalls = this.getAiMaxCallsNumber();
            uxLog("warning", this, c.yellow(`[OpenAi] Already performed maximum ${maxCalls} calls. Increase it by defining AI_MAXIMUM_CALL_NUMBER env variable`));
            return null;
        }
        const gptModel = process.env.OPENAI_MODEL || "gpt-4o-mini";
        if (process.env?.DEBUG_PROMPTS === "true") {
            uxLog("log", this, c.grey(`[OpenAi] Requesting the following prompt to ${gptModel}${template ? ' using template ' + template : ''}:\n${promptText}`));
        }
        else {
            uxLog("log", this, c.grey(`[OpenAi] Requesting prompt to ${gptModel}${template ? ' using template ' + template : ''} (define DEBUG_PROMPTS=true to see details)`));
        }
        this.incrementAiCallsNumber();
        const completion = await this.openai.chat.completions.create({
            messages: [{ role: "system", content: promptText }],
            model: gptModel,
        });
        if (process.env?.DEBUG_PROMPTS === "true") {
            uxLog("log", this, c.grey("[OpenAi] Received prompt response from " + gptModel + "\n" + JSON.stringify(completion, null, 2)));
        }
        else {
            uxLog("log", this, c.grey("[OpenAi] Received prompt response from " + gptModel));
        }
        const aiResponse = {
            success: false,
            model: completion.model,
        };
        if (completion?.choices?.length > 0) {
            aiResponse.success = true;
            aiResponse.promptResponse = completion.choices[0].message.content ?? undefined;
        }
        return aiResponse;
    }
}
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