Connect Toggl and OpenAI prompt in our serverless environment

class HttpSourceTogglFetchTimeEntries {
    async init() {
        // TODO: Create your http credential with toggl information:
        // More info at https://yepcode.io/docs/integrations/http/#credential-configuration
        // Official docs: https://developers.track.toggl.com/docs/index.html
        this.httpClient = yepcode.integration.http("your-toggl-credential-name");
    }

    async fetch(publish, done) {
        // Official docs: https://developers.track.toggl.com/docs/api/time_entries
        const params = {
            start_date: "start-date",
            end_date: "end-date"
        };
        const response = await this.httpClient.get("me/time_entries", {
            params,
        });

        for (const timeEntry of response.data) {
            await publish(timeEntry);
        }
        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() {}
}