React Native and OpenAI

const sendMessage = async (image_url: string, language: AppLanguage) => {
  try {
    const openai = new OpenAI({
      apiKey: OPENAI_API_KEY, // This is the default and can be omitted
    });

    const { data: completion } = await openai.chat.completions
      .create({
        model: "gpt-4-turbo",
        stream: false,
        messages: [
          {
            role: "system",
            content: `
You are palm reader, explain by reading palm the user background, life, future, fate. Please write at least 10 setences about each topic:
- user line of life
- user line of heart
- user line of mind
- user line of fate
- user extra information that we need to mention

Only provide a RFC8259 compliant JSON response:
[
  {
    "line_life": "user line of life",
    "line_heart": "user line of heart",
    "line_mind": "user line of mind",
    "line_fate": "user line of fate",
    "line_extra": "user extra information"
  }
]`,
          },
          {
            role: "user",
            content: [
              {
                type: "text",
                text: `
- user line of life, 10+ sentences
- user line of heart, 10+ sentences
- user line of mind, 10+ sentences
- user line of fate, 10+ sentences
- user extra information that we need to mention, 10+ sentences
                `,
              },
              {
                type: "text",
                text: `Use language ${language} for answers.`,
              },
              {
                type: "text",
                text: 'Describe my palm but in format { "line_heart": "text...", "line_life": "text...", "line_mind": "text...", "line_fate": "text...", "line_extra": "text..." }',
              },
              {
                type: "image_url",
                image_url: {
                  url: `data:image/jpeg;base64,${image_url}`,
                },
              },
            ],
          },
        ],
      })
      .withResponse();

    const replies = completion.choices
      .flatMap((choice) => {
        try {
          if (choice.message.content === null || choice.message.content === undefined) {
            return [];
          } else {
            const messages = JSON.parse(choice.message.content);

            return messages;
          }
        } catch (error) {
          Sentry.Native.captureException(error);

          return [];
        }
      })
      .reduce((acc, cur) => ({ ...acc, ...cur }), {});

    return replies;
  } catch (error) {
    Sentry.Native.captureException(error);
  }
};