VEO 3.1 Official Text-to-Video API

{/* OpenAI SDK has no videos.create method; /v1/videos is a custom path, use low-level client.post() */}
from openai import OpenAI
import time

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.apiyi.com/v1"
)

# Step 1: submit
resp = client.post(
    "/videos",
    body={
        "model": "veo-3.1-fast-generate-preview",
        "prompt": "A coastal lighthouse at dusk, slow push-in, waves lapping the rocks, distant seabirds, cinematic lighting, steady camera",
        "duration": "8",  # string, not number
        "size": "1280x720",
        "metadata": {
            "resolution": "720p",
            "aspectRatio": "16:9",
            "seed": 20260521,
            "negativePrompt": "blurry, watermark, distorted, low quality"
        }
    },
    cast_to=dict
)
task_id = resp["task_id"]
print(f"Task ID: {task_id}, status: {resp['status']}")

# Step 2: poll (up to 3 minutes for 720p/1080p)
deadline = time.time() + 180
while time.time() < deadline:
    s = client.get(f"/videos/{task_id}", cast_to=dict)
    print(f"Status: {s['status']}, progress: {s.get('progress', 0)}%")
    if s["status"] == "completed":
        break
    if s["status"] == "failed":
        raise RuntimeError(f"Generation failed: {s}")
    time.sleep(8)

# Step 3: download (retry to handle CDN sync delay right after completed)
import urllib.request, urllib.error
time.sleep(4)
for i in range(5):
    try:
        req = urllib.request.Request(
            f"https://api.apiyi.com/v1/videos/{task_id}/content",
            headers={"Authorization": "Bearer sk-your-api-key"}
        )
        with urllib.request.urlopen(req, timeout=180) as r, open("output.mp4", "wb") as f:
            while chunk := r.read(1 << 16):
                f.write(chunk)
        break
    except urllib.error.HTTPError:
        if i == 4:
            raise
        time.sleep(4)
print("Saved: output.mp4")

import requests
import time

API_KEY = "sk-your-api-key"
BASE_URL = "https://api.apiyi.com/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# Step 1: submit (JSON body)
resp = requests.post(
    f"{BASE_URL}/videos",
    headers={**HEADERS, "Content-Type": "application/json"},
    json={
        "model": "veo-3.1-fast-generate-preview",
        "prompt": "A coastal lighthouse at dusk, slow push-in, steady camera, ocean ambience and distant seabirds",
        "duration": "8",  # must be a string
        "size": "1280x720",
        "metadata": {
            "resolution": "720p",
            "aspectRatio": "16:9"
        }
    },
    timeout=30  # POST is just an enqueue; 30 sec is enough
).json()
task_id = resp["task_id"]
print(f"Task ID: {task_id}, status: {resp['status']}")

# Step 2: poll (3 min for 720p/1080p, 10 min for 4K)
deadline = time.time() + 180
while time.time() < deadline:
    s = requests.get(f"{BASE_URL}/videos/{task_id}", headers=HEADERS).json()
    print(f"Status: {s['status']}, progress: {s.get('progress', 0)}%")
    if s["status"] == "completed":
        break
    if s["status"] == "failed":
        raise RuntimeError(f"Generation failed: {s}")
    time.sleep(8)

# Step 3: download with retry
time.sleep(4)
for i in range(5):
    try:
        with requests.get(
            f"{BASE_URL}/videos/{task_id}/content",
            headers=HEADERS, stream=True, timeout=180
        ) as r:
            r.raise_for_status()
            with open("output.mp4", "wb") as f:
                for chunk in r.iter_content(chunk_size=8192):
                    f.write(chunk)
        break
    except requests.HTTPError:
        if i == 4:
            raise
        time.sleep(4)
print("Saved: output.mp4")

{/* Step 1: submit (note duration is the string "8", not number 8) */}
RESP=$(curl -sS -X POST "https://api.apiyi.com/v1/videos" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-fast-generate-preview",
    "prompt": "A coastal lighthouse at dusk, slow push-in, ocean ambience, cinematic lighting",
    "duration": "8",
    "size": "1280x720",
    "metadata": {"resolution": "720p", "aspectRatio": "16:9"}
  }')
TASK_ID=$(echo "$RESP" | python3 -c 'import sys,json;print(json.load(sys.stdin)["task_id"])')
echo "task_id=$TASK_ID"

{/* Step 2: poll every 8 sec */}
while :; do
  S=$(curl -sS -H "Authorization: Bearer sk-your-api-key" "https://api.apiyi.com/v1/videos/$TASK_ID")
  ST=$(echo "$S" | python3 -c 'import sys,json;print(json.load(sys.stdin)["status"])')
  echo "status=$ST"
  [ "$ST" = "completed" ] && break
  [ "$ST" = "failed" ] && { echo "$S"; exit 1; }
  sleep 8
done

{/* Step 3: download (--retry covers occasional 400 right after status=completed) */}
sleep 4
curl -sSL --retry 3 --retry-delay 4 \
  -H "Authorization: Bearer sk-your-api-key" \
  "https://api.apiyi.com/v1/videos/$TASK_ID/content" \
  -o output.mp4
ls -lh output.mp4

import fs from 'node:fs';

const API_KEY = 'sk-your-api-key';
const BASE_URL = 'https://api.apiyi.com/v1';

// Step 1: submit
const submitResp = await fetch(`${BASE_URL}/videos`, {
    method: 'POST',
    headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${API_KEY}`
    },
    body: JSON.stringify({
        model: 'veo-3.1-fast-generate-preview',
        prompt: 'A golden retriever running on a sandy beach, slow motion, golden hour, cinematic quality',
        duration: '8',  // must be string
        size: '1280x720',
        metadata: { resolution: '720p', aspectRatio: '16:9' }
    })
});
const { task_id } = await submitResp.json();
console.log(`Task ID: ${task_id}`);

// Step 2: poll
let status = 'queued';
while (status !== 'completed' && status !== 'failed') {
    await new Promise(r => setTimeout(r, 8000));
    const s = await (await fetch(`${BASE_URL}/videos/${task_id}`, {
        headers: { 'Authorization': `Bearer ${API_KEY}` }
    })).json();
    status = s.status;
    console.log(`Status: ${status}, progress: ${s.progress ?? 0}%`);
}

if (status === 'failed') throw new Error('Generation failed');

// Step 3: download (retry up to 3 times, 4-second gaps)
await new Promise(r => setTimeout(r, 4000));
let buffer;
for (let i = 0; i < 4; i++) {
    try {
        const resp = await fetch(`${BASE_URL}/videos/${task_id}/content`, {
            headers: { 'Authorization': `Bearer ${API_KEY}` }
        });
        if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
        buffer = Buffer.from(await resp.arrayBuffer());
        break;
    } catch (e) {
        if (i === 3) throw e;
        await new Promise(r => setTimeout(r, 4000));
    }
}
fs.writeFileSync('output.mp4', buffer);
console.log('Saved: output.mp4');

{/* Demo only; route through a backend proxy in production to avoid Key leakage; large video downloads are also unsuitable for direct browser handling */}
const submitResp = await fetch('https://api.apiyi.com/v1/videos', {
    method: 'POST',
    headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer sk-your-api-key'
    },
    body: JSON.stringify({
        model: 'veo-3.1-fast-generate-preview',
        prompt: 'Watercolor northern lights over snowy mountains, gentle motion',
        duration: '4',
        size: '720x1280',
        metadata: { resolution: '720p', aspectRatio: '9:16' }
    })
});
const { task_id } = await submitResp.json();
console.log('Task ID:', task_id);

{/* After polling completes, route the /content endpoint through your backend proxy for download */}

{
  "id": "task_xxxxxxxxxxxxxxxx",
  "task_id": "task_xxxxxxxxxxxxxxxx",
  "object": "video",
  "model": "veo-3.1-fast-generate-preview",
  "status": "queued",
  "progress": 0,
  "created_at": 1775025000
}

{
  "id": "task_xxxxxxxxxxxxxxxx",
  "task_id": "task_xxxxxxxxxxxxxxxx",
  "object": "video",
  "model": "veo-3.1-fast-generate-preview",
  "status": "in_progress",
  "progress": 50,
  "created_at": 1775025000
}

{
  "id": "task_xxxxxxxxxxxxxxxx",
  "task_id": "task_xxxxxxxxxxxxxxxx",
  "object": "video",
  "model": "veo-3.1-fast-generate-preview",
  "status": "completed",
  "progress": 100,
  "created_at": 1775025000,
  "completed_at": 1775025090
}