airtable.ts

// First we need to pull our Input Variables into the script
const inputConfig = input.config();
// We need to put our title and description into a prompt.
const prompt = `Using the following title and context, write a blog post.\n\nTitle: ${inputConfig.title}\nContext: ${inputConfig.additionalContext}\n\nBlog Post:`;
// Let's format the body of the API call we will make. There is a bunch of stuff in here that OpenAI needs.
const body = {
  model: "text-davinci-003",
  prompt: prompt,
  temperature: 0.7,
  max_tokens: 4000,
  top_p: 1,
  frequency_penalty: 0,
  presence_penalty: 0,
};
// This is where we call the actual API. Make sure you replace TOKEN with your OpenAI API Token.
let response = await fetch("https://api.openai.com/v1/completions", {
  method: "POST",
  body: JSON.stringify(body),
  headers: {
    "Content-Type": "application/json",
    Authorization: "Bearer TOKEN",
  },
});
// Make sure the call went through properly
if (response.ok) {
  // Grab the JSON body response
  const responseBody = await response.json();
  // Grab the text completion and trim the whitespace
  const blogPost = responseBody.choices[0].text.trim();
  // Finally, we are going to insert the finished post back into our table.
  const table = base.getTable("Blog Posts");
  await table.updateRecordAsync(inputConfig.recordId, {
    "Blog Post": blogPost,
  });
  console.log("Successfully Added Post");
} else {
  console.log("Error");
  console.log(await response.json());
}