echo "=== Meshy API Key Detection ==="

undefined

export MESHY_API_KEY="msy_PASTE_KEY_HERE"

**Linux (bash):**
```bash
export MESHY_API_KEY="msy_PASTE_KEY_HERE"

**Windows (PowerShell):**
```powershell
$env:MESHY_API_KEY = "msy_PASTE_KEY_HERE"

**Alternative (all platforms):** Create a `.env` file in your project root:

---

I'll generate a 3D model of "<prompt>" using the following plan:

  1. Preview (mesh generation) — 20 credits
  2. Refine (texturing with PBR) — 10 credits
  3. Download as .glb

  Total cost: 30 credits
  Current balance: <N> credits

  Shall I proceed?

#!/usr/bin/env python3
"""Meshy API task runner. Handles create → poll → download."""
import requests, time, os, sys

API_KEY = os.environ.get("MESHY_API_KEY", "")
if not API_KEY:
    sys.exit("ERROR: MESHY_API_KEY not set")

BASE = "https://api.meshy.ai"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
SESSION = requests.Session()
SESSION.trust_env = False  # bypass any system proxy settings

def create_task(endpoint, payload):
    resp = SESSION.post(f"{BASE}{endpoint}", headers=HEADERS, json=payload, timeout=30)
    if resp.status_code == 401:
        sys.exit("ERROR: Invalid API key (401)")
    if resp.status_code == 402:
        try:
            bal = SESSION.get(f"{BASE}/openapi/v1/balance", headers=HEADERS, timeout=10)
            balance = bal.json().get("balance", "unknown")
            sys.exit(f"ERROR: Insufficient credits (402). Current balance: {balance}. Top up at https://www.meshy.ai/pricing")
        except Exception:
            sys.exit("ERROR: Insufficient credits (402). Check balance at https://www.meshy.ai/pricing")
    if resp.status_code == 429:
        sys.exit("ERROR: Rate limited (429). Wait and retry.")
    resp.raise_for_status()
    task_id = resp.json()["result"]
    print(f"TASK_CREATED: {task_id}")
    return task_id

def poll_task(endpoint, task_id, timeout=600):
    """Poll task with exponential backoff (5s→30s, fixed 15s at 95%+)."""
    elapsed = 0
    delay = 5            # Initial delay: 5s
    max_delay = 30       # Cap: 30s
    backoff = 1.5        # Backoff multiplier
    finalize_delay = 15  # Fixed delay during finalization (95%+)
    poll_count = 0
    while elapsed < timeout:
        poll_count += 1
        resp = SESSION.get(f"{BASE}{endpoint}/{task_id}", headers=HEADERS, timeout=30)
        resp.raise_for_status()
        task = resp.json()
        status = task["status"]
        progress = task.get("progress", 0)
        filled = int(progress / 5)
        bar = f"[{'█' * filled}{'░' * (20 - filled)}] {progress}%"
        print(f"  {bar} — {status} ({elapsed}s, poll #{poll_count})", flush=True)
        if status == "SUCCEEDED":
            return task
        if status in ("FAILED", "CANCELED"):
            msg = task.get("task_error", {}).get("message", "Unknown")
            sys.exit(f"TASK_{status}: {msg}")
        current_delay = finalize_delay if progress >= 95 else delay
        time.sleep(current_delay)
        elapsed += current_delay
        if progress < 95:
            delay = min(delay * backoff, max_delay)
    sys.exit(f"TIMEOUT after {timeout}s ({poll_count} polls)")

def download(url, filepath):
    """Download a file to the given path (within a project directory)."""
    os.makedirs(os.path.dirname(filepath), exist_ok=True)
    print(f"Downloading {filepath}...", flush=True)
    resp = SESSION.get(url, timeout=300, stream=True)
    resp.raise_for_status()
    with open(filepath, "wb") as f:
        for chunk in resp.iter_content(chunk_size=8192):
            f.write(chunk)
    size_mb = os.path.getsize(filepath) / (1024 * 1024)
    print(f"DOWNLOADED: {filepath} ({size_mb:.1f} MB)")

undefined

PROMPT = "USER_PROMPT"  # max 600 chars

> **Refine compatibility**: Only previews generated with `meshy-5` or `latest` can be refined. `meshy-6` previews do NOT support refine (API returns 400). If the user wants to refine later, always use `meshy-5` or `latest` for the preview step.

import base64

undefined

task_id = create_task("/openapi/v1/multi-image-to-3d", {
    "image_urls": ["URL_1", "URL_2", "URL_3"],  # 1–4 images
    "should_texture": True,
    "enable_pbr": True,            # Default is False; set True for metallic/roughness/normal maps
    "ai_model": "latest",
    # "image_enhancement": True,   # Optimize input images (meshy-6/latest only, default True)
    # "remove_lighting": True,     # Remove baked lighting from texture (meshy-6/latest only, default True)
})
task = poll_task("/openapi/v1/multi-image-to-3d", task_id)
download(task["model_urls"]["glb"], "model.glb")

task_id = create_task("/openapi/v1/retexture", {
    "input_task_id": "PREVIOUS_TASK_ID",      # or "model_url": "URL"
    "text_style_prompt": "wooden texture",     # or "image_style_url": "URL"
    "enable_pbr": True,
    # "remove_lighting": True,     # Remove baked lighting (meshy-6/latest only, default True)
})
task = poll_task("/openapi/v1/retexture", task_id)
download(task["model_urls"]["glb"], "retextured.glb")

task_id = create_task("/openapi/v1/remesh", {
    "input_task_id": "TASK_ID",
    "target_formats": ["glb", "fbx", "obj"],
    "topology": "quad",
    "target_polycount": 10000,
})
task = poll_task("/openapi/v1/remesh", task_id)
for fmt, url in task["model_urls"].items():
    download(url, f"remeshed.{fmt}")

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```python

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