POST /v1/video/generations

{
  "id": "task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j",
  "task_id": "task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j",
  "object": "video",
  "model": "veo-3.1-generate-001",
  "status": "queued",
  "progress": 0,
  "created_at": 1778590105
}

GET /v1/video/generations/{task_id}

{
  "code": "success",
  "message": "",
  "data": {
    "task_id": "task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j",
    "status": "succeeded",
    "error": null,
    "format": "mp4",
    "metadata": null,
    "url": "https://autorouter.top/v1/videos/task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j/content"
  }
}

{
  "code": "success",
  "message": "",
  "data": {
    "task_id": "task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j",
    "status": "failed",
    "error": "SafetyFilterActivated: prompt violates content policy",
    "format": null,
    "metadata": null,
    "url": null
  }
}

{
  "id": "task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j",
  "object": "video",
  "model": "veo-3.1-generate-001",
  "status": "completed",
  "progress": 100,
  "created_at": 1778590105,
  "completed_at": 1778590201
}

# Step 1: Submit task
curl -X POST https://autorouter.top/v1/video/generations \
  -H "Authorization: Bearer sk-YourApiKey" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-generate-001",
    "prompt": "A golden retriever playing fetch on a sunny beach, cinematic wide shot, slow motion",
    "size": "1080p",
    "duration": 8,
    "aspect_ratio": "16:9"
  }'

# Step 2: Poll (recommended interval: 10~15 seconds)
curl https://autorouter.top/v1/video/generations/task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j \
  -H "Authorization: Bearer sk-YourApiKey"

# Step 3: When data.status == "succeeded", download from data.url
curl -o output.mp4 "https://autorouter.top/v1/videos/task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j/content"

# Enable generate_audio: true for synchronized speech, sound effects, and ambient sound
curl -X POST https://autorouter.top/v1/video/generations \
  -H "Authorization: Bearer sk-YourApiKey" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-generate-001",
    "prompt": "A jazz musician performing on a rainy street at night, neon lights reflecting on wet pavement",
    "size": "1080p",
    "duration": 8,
    "generate_audio": true
  }'

# Pass a reference image via images
# The model generates motion starting from this image
curl -X POST https://autorouter.top/v1/video/generations \
  -H "Authorization: Bearer sk-YourApiKey" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-generate-001",
    "prompt": "The cat slowly opens its eyes and stretches, sunlight streaming through the window",
    "images": ["https://example.com/cat.jpg"],
    "size": "1080p",
    "duration": 8
  }'

curl -X POST https://autorouter.top/v1/video/generations \
  -H "Authorization: Bearer sk-YourApiKey" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-fast-generate-001",
    "prompt": "The cat slowly opens its eyes and stretches, birds chirping outside",
    "images": ["https://example.com/cat.jpg"],
    "size": "1080p",
    "duration": 8,
    "generate_audio": true
  }'

quota = modelPrice × QuotaPerUnit × groupRatio × pricingRatio × seconds

QuotaPerUnit = 500,000
groupRatio   = 1.0 (production default group)

Example (veo-3.1-generate-001, 1080p, 8s, with audio):
  modelPrice   = 0.20
  pricingRatio = 2.0 (audio doubles the cost)
  quota = 0.20 × 500,000 × 1 × 2.0 × 8 = 1,600,000

Example (veo-3.1-lite-generate-001, 1080p, 8s, video only):
  modelPrice   = 0.03
  pricingRatio ≈ 1.667 (1080p multiplier)
  quota = 0.03 × 500,000 × 1 × 1.667 × 8 ≈ 200,000

#!/bin/bash
TID="task_DduhCcHShyasO6lCV7o5SK9JQEYUnO1j"
KEY="sk-YourApiKey"
while true; do
  RESP=$(curl -sS "https://autorouter.top/v1/video/generations/$TID" \
    -H "Authorization: Bearer $KEY")
  echo "$RESP"
  STATUS=$(echo "$RESP" | python3 -c \
    "import sys,json;print(json.load(sys.stdin)['data'].get('status',''))")
  case "$STATUS" in
    succeeded|failed) break ;;
  esac
  sleep 15
done