OpenAI - Docs ↗

Use OpenAI's chat completion API with std/openai. This integration enables access to OpenAI's language models without needing to acquire API keys.

For free Val Town users, all calls are sent to gpt-4o-mini.

Create val
import { OpenAI } from "https://esm.town/v/std/openai";

const openai = new OpenAI();

const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },
  ],
  model: "gpt-4",
  max_tokens: 30,
});

console.log(completion.choices[0].message.content);

To send an image to ChatGPT, the easiest way is by converting it to a data URL, which is easiest to do with @stevekrouse/fileToDataURL.

Create val
import { fileToDataURL } from "https://esm.town/v/stevekrouse/fileToDataURL";

const dataURL = await fileToDataURL(file);
const response = await chat([
  {
    role: "system",
    content: `You are an nutritionist. 
  Estimate the calories.
  We only need a VERY ROUGH estimate.
  Respond ONLY in a JSON array with values conforming to: {ingredient: string, calories: number}
  `,
  },
  {
    role: "user",
    content: [{
      type: "image_url",
      image_url: {
        url: dataURL,
      },
    }],
  },
], {
  model: "gpt-4o",
  max_tokens: 200,
});

While our wrapper simplifies the integration of OpenAI, there are a few limitations to keep in mind:

• Usage Quota: We limit each user to 10 requests per minute.
• Features: Chat completions is the only endpoint available.

If these limits are too low, let us know! You can also get around the limitation by using your own keys:

1. Create your own API key on OpenAI's website
2. Create an environment variable named OPENAI_API_KEY
3. Use the OpenAI client from npm:openai:

Create val
import { OpenAI } from "npm:openai";

const openai = new OpenAI();

📝 Edit docs