Video generation

import requests

resp = requests.post(
    "https://api.kunavo.com/v1/video/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "veo-3",
        "prompt": "a cinematic dolly-in on a red origami crane unfolding, soft light",
        "aspect_ratio": "16:9",
    },
    timeout=600,  # video generation can take minutes
)
print(resp.json()["data"][0]["url"])

# The models billed per second take a clip length: here 5 seconds of
# Seedance 2. Leave "duration" out and these models make a 5-second clip.
resp = requests.post(
    "https://api.kunavo.com/v1/video/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "seedance-2",
        "prompt": "a paper crane unfolds into a flock of birds over a city at dawn",
        "duration": 5,
        "aspect_ratio": "16:9",
    },
    timeout=600,
)
print(resp.json()["data"][0]["url"])

# Image-to-video: animate a still image. The source image can be an
# https URL, or inline base64 — Kunavo hosts it for the model automatically.
resp = requests.post(
    "https://api.kunavo.com/v1/video/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "veo-3",
        "prompt": "the crane gently lifts off the desk",
        "image_url": "https://your-cdn.com/source.png",
    },
    timeout=600,
)
print(resp.json()["data"][0]["url"])

# First + last frame: pass two images and Veo fills in the motion.
resp = requests.post(
    "https://api.kunavo.com/v1/video/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "veo-3",
        "prompt": "a smooth transition between the two poses",
        "image_urls": [
            "https://your-cdn.com/first.png",
            "https://your-cdn.com/last.png",
        ],
        "image_mode": "frame",
    },
    timeout=600,
)

# No public URL? Upload the still first, then animate it.
with open("frame.png", "rb") as f:
    up = requests.post(
        "https://api.kunavo.com/v1/files",
        headers={"Authorization": f"Bearer {API_KEY}"},
        files={"file": f},
    ).json()

resp = requests.post(
    "https://api.kunavo.com/v1/video/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "veo-3",
        "prompt": "slow push-in, volumetric light",
        "image_url": up["url"],
    },
    timeout=600,
)

import requests, time

# 1. Submit — returns immediately with a task id. No long-lived connection.
submit = requests.post(
    "https://api.kunavo.com/v1/videos",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        # Optional: retrying with the same key inside ~24h returns the
        # original task rather than submitting again.
        "Idempotency-Key": "my-task-uuid",
    },
    json={
        "model": "veo-3",
        "prompt": "a cinematic dolly-in on a red origami crane",
        "aspect_ratio": "16:9",
    },
    timeout=60,
).json()

task_id = submit["id"]              # "vid_abc..."
status  = submit["status"]          # "queued"

# 2. Poll until terminal. Recommended cadence: 5s, backing off to 30s.
while status not in ("completed", "failed"):
    time.sleep(5)
    r = requests.get(
        f"https://api.kunavo.com/v1/videos/{task_id}",
        headers={"Authorization": f"Bearer {API_KEY}"},
        timeout=30,
    ).json()
    status = r["status"]

if status == "failed":
    raise RuntimeError(r["error"]["message"])
print(r["output"]["url"])

import time
from openai import OpenAI

client = OpenAI(api_key=API_KEY, base_url="https://api.kunavo.com/v1")

# The same JSON body, sent with the client's own post().
task = client.post(
    "/videos",
    body={
        "model": "veo-3",
        "prompt": "a cinematic dolly-in on a red origami crane",
        "aspect_ratio": "16:9",
    },
    # object hands back the JSON as parsed. Passing dict instead raises
    # after the task has been created.
    cast_to=object,
    options={"headers": {"Idempotency-Key": "my-task-uuid"}},
)

while task["status"] not in ("completed", "failed"):
    time.sleep(5)
    task = client.get(f"/videos/{task['id']}", cast_to=object)

if task["status"] == "failed":
    raise RuntimeError(task["error"]["message"])
print(task["output"]["url"])