AI Agent API

# List videos
curl -H "Authorization: Bearer xpx_your_token_here" \
  https://xpandorax.com/api/agent/v2/content/videos

# Create a video
curl -X POST \
  -H "Authorization: Bearer xpx_your_token_here" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "My Agent Uploaded Video",
    "video_url": "https://cdn.example.com/video.mp4",
    "tags": ["exclusive", "hd"]
  }' \
  https://xpandorax.com/api/agent/v2/content/videos

# Update a video
curl -X PATCH \
  -H "Authorization: Bearer xpx_your_token_here" \
  -H "Content-Type: application/json" \
  -d '{"title": "Updated Title", "is_hd": true}' \
  https://xpandorax.com/api/agent/v2/content/videos/video-uuid

# Delete a video
curl -X DELETE \
  -H "Authorization: Bearer xpx_your_token_here" \
  https://xpandorax.com/api/agent/v2/content/videos/video-uuid

import requests
import os

API_TOKEN = os.environ["XPANDORAX_API_TOKEN"]
BASE = "https://xpandorax.com/api/agent/v2"
HEADERS = {"Authorization": f"Bearer {API_TOKEN}"}

# ── List videos ──
resp = requests.get(f"{BASE}/content/videos", headers=HEADERS)
videos = resp.json()
print(f"Found {len(videos)} videos")

# ── Create a video ──
video_data = {
    "title": "My Agent Uploaded Video",
    "description": "Created via AI Agent API",
    "video_url": "https://cdn.example.com/video.mp4",
    "thumbnail_url": "https://cdn.example.com/thumb.jpg",
    "tags": ["exclusive", "hd"],
    "duration_minutes": 15,
    "is_hd": True,
}
resp = requests.post(f"{BASE}/content/videos", headers=HEADERS, json=video_data)
print(resp.json())

# ── Add a model ──
model_data = {
    "name": "Mia Santos",
    "ethnicity": "Filipina",
    "height_cm": 165,
    "tags": ["brunette", "athletic"],
}
resp = requests.post(f"{BASE}/content/models", headers=HEADERS, json=model_data)
print(resp.json())

# ── Full upload flow (legacy) ──
video_path = "/path/to/video.mp4"
file_size = os.path.getsize(video_path)

# Step 1: request presigned URL
r1 = requests.post(f"{BASE.rsplit('/v2',1)[0]}/upload-url",
    headers=HEADERS,
    json={"filename": "video.mp4", "filesize": file_size, "content_type": "video/mp4"})
r1.raise_for_status()
data = r1.json()

# Step 2: upload to B2
with open(video_path, "rb") as f:
    r2 = requests.put(data["presigned_url"],
        data=f, headers={"Content-Type": "video/mp4"})
r2.raise_for_status()

# Step 3: confirm with metadata
r3 = requests.post(f"{BASE.rsplit('/v2',1)[0]}/confirm-upload",
    headers=HEADERS,
    json={
        "upload_log_id": data["upload_log_id"],
        "metadata": {
            "title": "Filipina Amateur",
            "tags": ["filipina", "amateur"],
            "original_source_url": "https://example.com/video/1",
        }
    })
print(r3.json())

const API_TOKEN = process.env.XPANDORAX_API_TOKEN;
const BASE = "https://xpandorax.com/api/agent/v2";
const headers = {
  Authorization: `Bearer ${API_TOKEN}`,
  "Content-Type": "application/json",
};

// ── List videos ──
const resp = await fetch(`${BASE}/content/videos`, { headers });
const videos = await resp.json();
console.log(`Found ${videos.length} videos`);

// ── Create a video ──
const createResp = await fetch(`${BASE}/content/videos`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    title: "My Agent Uploaded Video",
    video_url: "https://cdn.example.com/video.mp4",
    tags: ["exclusive", "hd"],
    is_hd: true,
  }),
});
const newVideo = await createResp.json();
console.log("Created:", newVideo.id);

// ── Update producer profile ──
const updateResp = await fetch(`${BASE}/content/producer`, {
  method: "PATCH",
  headers,
  body: JSON.stringify({
    description: "Updated bio from my AI agent",
  }),
});
console.log(await updateResp.json());

// ── Delete a video ──
await fetch(`${BASE}/content/videos/video-uuid`, {
  method: "DELETE",
  headers,
});