Connect SOAP and OpenAI prompt in our serverless environment

class SoapSourceFetch {
    async init() {
        // TODO: Create your soap credential
        // More info at https://yepcode.io/docs/integrations/soap/#credential-configuration
        this.soapClient = yepcode.integration.soap("your-soap-credential-name");
    }

    async fetch(publish, done) {
        // TODO: Change MyFunctionNameAsync by your function name
        // Example: fetchData --> fetchDataAsync
        // Official docs: https://github.com/vpulim/node-soap#clientmethodasyncargs-options---call-method-on-the-soap-service
        const response = await this.soapClient.MyFunctionNameAsync({
            argumentName: "value",
        });

        // response is a javascript array containing, in the following order, result, rawResponse, soapheader, and rawRequest
        // result can be a simple javascript object, or a javascript object containing an array
        // rawResponse is the raw xml response string
        // soapHeader is the response soap header as a javascript object
        // rawRequest is the raw xml request string

        // In this case, we assume that our function returns an array
        for (const item of response[0]) {
            publish(item);
        }

        done();
    }

    async close() {}
}

class OpenaiTargetSendPrompt {
    async init() {
        // TODO: Create your OpenAI credential
        // More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
        this.openai = yepcode.integration.openai("your-openai-credential-name");
    }

    async consume(item) {
        // TODO: Configure your prompt
        // More info at: https://platform.openai.com/docs/api-reference/completions/create
        const completion = await this.openai.completions.create({
            model: item.model,
            prompt: item.prompt,
            max_tokens: item.maxTokens,
            temperature: item.temperature,
        });

        // Use the completion for whatever you want
        console.log(completion.data.choices[0].text);
    }

    async close() {}
}