The easiest way to post to Threads via API

// API key from mallary.ai
const API_KEY = process.env.MALLARY_API_KEY;
// threads-launch-video.mp4
const file = document.querySelector("input[type=file]").files[0];

// 1. Get a presigned URL.
const uploadMetaRes = await fetch("https://mallary.ai/api/v1/upload", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    filename: file.name,
  }),
});

const uploadMeta = await uploadMetaRes.json();

// Example output:
// {
//   uploadUrl: "https://...",
//   mediaUrl: "https://files.mallary.ai/uploads/...",
//   headers: { "Content-Type": "application/octet-stream" }
// }

// 2. Upload your file to uploadMeta.uploadUrl. Use uploadMeta.mediaUrl in the post payload.
await fetch(uploadMeta.uploadUrl, {
  method: "PUT",
  headers: uploadMeta.headers ?? {},
  body: file,
});

// Example output: HTTP 200/204 from uploadMeta.uploadUrl.

// 3. Post your video to threads using the mediaUrl.
const postRes = await fetch("https://mallary.ai/api/v1/post", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    message: "Check out our new product!",
    platforms: ["threads"],
    media: [{ url: uploadMeta.mediaUrl }],
    comments_under_post: ["Find out more at https://example.com today"],
    auto_reply_enabled: true,
  }),
});

const post = await postRes.json();
const jobId = post.jobs[0].jobId;

// Example output:
// {
//   status: "queued",
//   batch_id: "a1b2c3d4",
//   jobs: [{ platform: "threads", jobId: "123" }]
// }

// 4. Check the job status.
const jobRes = await fetch(`https://mallary.ai/api/v1/jobs/${jobId}`, {
  headers: { Authorization: `Bearer ${API_KEY}` },
});

const { data } = await jobRes.json();

console.log(data.job);

// Example output:
// {
//   id: "123",
//   platform: "threads",
//   status: "completed",
//   result: { postUrl: "https://..." }
// }