Mastering Sora 2 API Availability Status Monitoring: Full Analysis of 4 Service Statuses for Official Relay vs Reverse Official

When you're using Sora 2 API for video generation, knowing the availability of different access methods is crucial. In this post, we'll dive deep into the status differences between Official Relay and Official Reverse access. This should help you pick the most stable calling solution for your needs.

Core Value: By the end of this article, you'll know how to check the real-time status of various Sora 2 API services, understand the stability gap between relay and reverse methods, and learn how to choose the right access path for your specific business requirements.

Sora 2 API Availability Monitoring Panel Real-time Status: 2026-01-28 14:00

Official Relay

Sora 2 Relay Operational

Sora 2 Pro Relay Operational

Sora Image Gen Operational

Monthly Uptime: 99.84% | SLA Guaranteed

Official Reverse

Sora 2 Reverse Under Risk Control

Sora 2 Pro Reverse Suspended

Veo 3.1 Reverse Operational

Monthly Uptime: ~70-85% | No Guarantee

Status Legend

Operational

Risk Control

Suspended

Maintenance

Degraded Perf

Selection Advice

• Production / Commercial → Relay API (99.84% stability, SLA guaranteed) • Dev / Learning → Reverse API (Lower cost, but no stability guarantee)

Sora 2 API Availability Status Overview

Looking at the real-time status from January 28, 2026, at 14:00, there's a clear difference in availability across service types:

What are Official Relay and Official Reverse?

In the world of AI video generation APIs, there are two main ways to connect:

Official Relay:

• Calls are made through the official OpenAI API interface.
• Uses officially authenticated API Keys.
• Billed according to official pricing (per-second billing).
• Stability is backed by an SLA guarantee.

Official Reverse:

• Simulates Web/App calls via reverse engineering.
• Based on subscription account Cookies/Tokens.
• Billed per request, which makes it cheaper.
• Stability is often affected by the platform's risk control measures.

🎯 Pro Tip: For production environments and commercial projects, we recommend using the Official Relay API via the APIYI (apiyi.com) platform to ensure you get the most stable service.

Detailed Comparison: Sora 2 API Official Relay vs. Official Reverse

Differences in Technical Principles

Stability Comparison

Based on monitoring data from January 2026:

Price Comparison

Using a 10-second 720p video generation as an example:

💡 Cost Tip: You can get better rates for official relay APIs through the APIYI (apiyi.com) platform, allowing you to lower costs while maintaining stability.

How to Check Sora 2 API Status

Method 1: Official OpenAI Status Page

You can check the real-time status of official relay APIs through the OpenAI status page:

Check at: status.openai.com

This page provides:

• Overall API service status
• Sora-specific service status (monitoring 5 components)
• Historical uptime data (99.84% over the last 90 days)
• Scheduled maintenance notifications
• Incident logs

import requests

def check_openai_status():
    """Check official OpenAI service status"""
    # Note: This is demo code; actual parsing of the status page is required
    status_url = "https://status.openai.com/api/v2/status.json"

    try:
        response = requests.get(status_url, timeout=10)
        data = response.json()

        status = data.get("status", {})
        indicator = status.get("indicator", "unknown")
        description = status.get("description", "")

        return {
            "status": indicator,  # none/minor/major/critical
            "description": description,
            "operational": indicator == "none"
        }
    except Exception as e:
        return {"status": "error", "description": str(e)}

# Example usage
result = check_openai_status()
print(f"OpenAI Status: {result['description']}")

Method 2: Third-Party Status Monitoring

For the status of relay and reverse services, you can refer to third-party provider status pages:

APIYI Status Monitoring: Provides real-time status for both official relay and reverse services.

import openai

def check_sora_availability(api_key, base_url="https://api.apiyi.com/v1"):
    """
    Check Sora 2 API availability
    Tests service status via the unified APIYI interface
    """
    client = openai.OpenAI(
        api_key=api_key,
        base_url=base_url
    )

    services = {
        "sora-2": "Sora 2 Standard",
        "sora-2-pro": "Sora 2 Pro",
    }

    results = {}

    for model, name in services.items():
        try:
            # Test availability with minimum parameters
            response = client.videos.create(
                model=model,
                prompt="Test availability",
                seconds=4,
                size="1280x720"
            )
            results[model] = {
                "name": name,
                "status": "operational",
                "task_id": response.id
            }
        except Exception as e:
            error_msg = str(e)
            if "rate_limit" in error_msg.lower():
                status = "rate_limited"
            elif "unavailable" in error_msg.lower():
                status = "unavailable"
            else:
                status = "error"

            results[model] = {
                "name": name,
                "status": status,
                "error": error_msg
            }

    return results

# Example usage
status = check_sora_availability("YOUR_API_KEY")
for model, info in status.items():
    print(f"{info['name']}: {info['status']}")

🚀 Quick Start: We recommend using the apiyi.com platform for API availability testing. It offers unified status monitoring and alerting services.

Method 3: Implementing Automated Status Monitoring

Here's a production-grade status monitoring tool you can use:

import openai
import time
from datetime import datetime
from typing import Dict, List, Optional
from dataclasses import dataclass
from enum import Enum

class ServiceStatus(Enum):
    OPERATIONAL = "operational"      # Running normally
    DEGRADED = "degraded"           # Performance issues
    RISK_CONTROL = "risk_control"   # Under risk control
    SUSPENDED = "suspended"         # Service suspended
    UNKNOWN = "unknown"             # Status unknown

@dataclass
class ServiceInfo:
    name: str
    model: str
    type: str  # "official" or "reverse"
    status: ServiceStatus
    last_check: datetime
    response_time: Optional[float] = None
    error_message: Optional[str] = None

class SoraStatusMonitor:
    """Sora 2 API Status Monitor"""

    SERVICES = {
        "sora-2-official": {
            "name": "Sora 2 Official Relay",
            "model": "sora-2",
            "type": "official"
        },
        "sora-2-pro-official": {
            "name": "Sora 2 Pro Official Relay",
            "model": "sora-2-pro",
            "type": "official"
        },
    }

    def __init__(self, api_key: str, base_url: str = "https://api.apiyi.com/v1"):
        self.client = openai.OpenAI(api_key=api_key, base_url=base_url)
        self.status_history: Dict[str, List[ServiceInfo]] = {}

    def check_service(self, service_id: str) -> ServiceInfo:
        """Check status of a single service"""
        config = self.SERVICES.get(service_id)
        if not config:
            raise ValueError(f"Unknown service: {service_id}")

        start_time = time.time()

        try:
            # Send test request
            response = self.client.videos.create(
                model=config["model"],
                prompt="Status check test",
                seconds=4,
                size="1280x720"
            )

            response_time = time.time() - start_time

            return ServiceInfo(
                name=config["name"],
                model=config["model"],
                type=config["type"],
                status=ServiceStatus.OPERATIONAL,
                last_check=datetime.now(),
                response_time=response_time
            )

        except Exception as e:
            error_msg = str(e).lower()
            response_time = time.time() - start_time

            # Determine status based on error type
            if "rate_limit" in error_msg or "risk control" in error_msg:
                status = ServiceStatus.RISK_CONTROL
            elif "suspended" in error_msg or "unavailable" in error_msg:
                status = ServiceStatus.SUSPENDED
            elif "timeout" in error_msg:
                status = ServiceStatus.DEGRADED
            else:
                status = ServiceStatus.UNKNOWN

            return ServiceInfo(
                name=config["name"],
                model=config["model"],
                type=config["type"],
                status=status,
                last_check=datetime.now(),
                response_time=response_time,
                error_message=str(e)
            )

    def check_all_services(self) -> Dict[str, ServiceInfo]:
        """Check status of all services"""
        results = {}
        for service_id in self.SERVICES:
            results[service_id] = self.check_service(service_id)
            time.sleep(1)  # Avoid rate limits
        return results

    def get_status_summary(self) -> str:
        """Get status summary report"""
        results = self.check_all_services()

        lines = [
            f"Sora 2 API Status Report - {datetime.now().strftime('%Y-%m-%d %H:%M')}",
            "=" * 50
        ]

        status_icons = {
            ServiceStatus.OPERATIONAL: "🟢",
            ServiceStatus.DEGRADED: "🟡",
            ServiceStatus.RISK_CONTROL: "🟡",
            ServiceStatus.SUSPENDED: "🔴",
            ServiceStatus.UNKNOWN: "⚪"
        }

        for service_id, info in results.items():
            icon = status_icons.get(info.status, "⚪")
            line = f"{icon} {info.name}: {info.status.value}"
            if info.response_time:
                line += f" ({info.response_time:.2f}s)"
            lines.append(line)

        return "\n".join(lines)

# Example usage
monitor = SoraStatusMonitor(api_key="YOUR_API_KEY")
print(monitor.get_status_summary())

import openai
import time
import json
import smtplib
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Callable
from dataclasses import dataclass, asdict
from enum import Enum
from email.mime.text import MIMEText
import threading

class ServiceStatus(Enum):
    OPERATIONAL = "operational"
    DEGRADED = "degraded"
    RISK_CONTROL = "risk_control"
    SUSPENDED = "suspended"
    UNKNOWN = "unknown"

@dataclass
class ServiceInfo:
    name: str
    model: str
    type: str
    status: ServiceStatus
    last_check: datetime
    response_time: Optional[float] = None
    error_message: Optional[str] = None

    def to_dict(self):
        d = asdict(self)
        d['status'] = self.status.value
        d['last_check'] = self.last_check.isoformat()
        return d

class SoraStatusMonitor:
    """Sora 2 API Status Monitor - Full Version"""

    SERVICES = {
        "sora-2-official": {
            "name": "Sora 2 Official Relay",
            "model": "sora-2",
            "type": "official"
        },
        "sora-2-pro-official": {
            "name": "Sora 2 Pro Official Relay",
            "model": "sora-2-pro",
            "type": "official"
        },
    }

    def __init__(
        self,
        api_key: str,
        base_url: str = "https://api.apiyi.com/v1",
        alert_callback: Optional[Callable] = None
    ):
        self.client = openai.OpenAI(api_key=api_key, base_url=base_url)
        self.alert_callback = alert_callback
        self.status_history: Dict[str, List[ServiceInfo]] = {
            sid: [] for sid in self.SERVICES
        }
        self._running = False
        self._monitor_thread = None

    def check_service(self, service_id: str) -> ServiceInfo:
        """Check status of a single service"""
        config = self.SERVICES.get(service_id)
        if not config:
            raise ValueError(f"Unknown service: {service_id}")

        start_time = time.time()

        try:
            response = self.client.videos.create(
                model=config["model"],
                prompt="Status check",
                seconds=4,
                size="1280x720"
            )

            return ServiceInfo(
                name=config["name"],
                model=config["model"],
                type=config["type"],
                status=ServiceStatus.OPERATIONAL,
                last_check=datetime.now(),
                response_time=time.time() - start_time
            )

        except Exception as e:
            error_msg = str(e).lower()

            if "rate_limit" in error_msg:
                status = ServiceStatus.RISK_CONTROL
            elif "suspended" in error_msg or "unavailable" in error_msg:
                status = ServiceStatus.SUSPENDED
            elif "timeout" in error_msg:
                status = ServiceStatus.DEGRADED
            else:
                status = ServiceStatus.UNKNOWN

            return ServiceInfo(
                name=config["name"],
                model=config["model"],
                type=config["type"],
                status=status,
                last_check=datetime.now(),
                response_time=time.time() - start_time,
                error_message=str(e)
            )

    def check_all_services(self) -> Dict[str, ServiceInfo]:
        """Check all services"""
        results = {}
        for service_id in self.SERVICES:
            info = self.check_service(service_id)
            results[service_id] = info

            # Record history
            self.status_history[service_id].append(info)
            # Keep only the last 100 entries
            if len(self.status_history[service_id]) > 100:
                self.status_history[service_id] = \
                    self.status_history[service_id][-100:]

            # Check if alert is needed
            self._check_alert(service_id, info)

            time.sleep(1)

        return results

    def _check_alert(self, service_id: str, current: ServiceInfo):
        """Check if an alert should be sent"""
        history = self.status_history[service_id]

        if len(history) < 2:
            return

        previous = history[-2]

        # Trigger alert when status changes
        if previous.status != current.status:
            if self.alert_callback:
                self.alert_callback(
                    service_id=service_id,
                    previous_status=previous.status,
                    current_status=current.status,
                    service_info=current
                )

    def get_uptime(self, service_id: str, hours: int = 24) -> float:
        """Calculate uptime percentage for a specified period"""
        history = self.status_history.get(service_id, [])
        cutoff = datetime.now() - timedelta(hours=hours)

        recent = [h for h in history if h.last_check > cutoff]

        if not recent:
            return 0.0

        operational = sum(
            1 for h in recent
            if h.status == ServiceStatus.OPERATIONAL
        )

        return (operational / len(recent)) * 100

    def start_monitoring(self, interval_seconds: int = 300):
        """Start scheduled monitoring"""
        self._running = True

        def monitor_loop():
            while self._running:
                try:
                    self.check_all_services()
                except Exception as e:
                    print(f"Monitoring error: {e}")
                time.sleep(interval_seconds)

        self._monitor_thread = threading.Thread(
            target=monitor_loop,
            daemon=True
        )
        self._monitor_thread.start()

    def stop_monitoring(self):
        """Stop monitoring"""
        self._running = False

    def export_status(self, filepath: str):
        """Export status data to JSON"""
        data = {
            service_id: [info.to_dict() for info in history]
            for service_id, history in self.status_history.items()
        }
        with open(filepath, 'w') as f:
            json.dump(data, f, indent=2, ensure_ascii=False)


def email_alert(service_id, previous_status, current_status, service_info):
    """Email alert example"""
    subject = f"[Sora API Alert] {service_info.name} Status Change"
    body = f"""
    Service: {service_info.name}
    Status Change: {previous_status.value} → {current_status.value}
    Check Time: {service_info.last_check}
    Error Message: {service_info.error_message or 'None'}
    """
    print(f"Alert: {subject}")
    print(body)
    # Actual email sending code omitted for brevity


# Example usage
if __name__ == "__main__":
    monitor = SoraStatusMonitor(
        api_key="YOUR_API_KEY",
        alert_callback=email_alert
    )

    # Start scheduled monitoring (check every 5 minutes)
    monitor.start_monitoring(interval_seconds=300)

    # Main program loop
    try:
        while True:
            time.sleep(60)
            # Print status every minute
            for sid in monitor.SERVICES:
                uptime = monitor.get_uptime(sid, hours=1)
                print(f"{sid}: {uptime:.1f}% Uptime (Last 1 hour)")
    except KeyboardInterrupt:
        monitor.stop_monitoring()
        monitor.export_status("sora_status_history.json")

Detailed Breakdown of Sora 2 API Service Status

Sora 2 Official Relay Status

Current Status: 🟢 Running Smoothly

The Official Relay API calls through OpenAI's official interfaces, offering the highest level of stability:

Best for:

• Production environment deployments
• Commercial project integrations
• Applications requiring guaranteed stability
• Enterprise-level clients

Sora 2 Official Reverse Status

Current Status: 🟡 Risk Control Active

Official Reverse APIs simulate Web or App client calls. Their stability is heavily influenced by the platform's risk control measures:

Common triggers for risk control:

1. OpenAI updates Web-side verification mechanisms.
2. High request frequency triggering rate limits.
3. Batch banning of account pools.
4. Policy shifts (e.g., the January 10, 2026, restrictions on free users).

Sora 2 Pro Official Reverse Status

Current Status: 🔴 Suspended

The Pro version of the reverse service is currently suspended for a few key reasons:

1. High Account Costs: Pro subscriptions cost $200/month, making account pool maintenance expensive.
2. Stricter Risk Control: OpenAI protects Pro features much more aggressively.
3. Technical Complexity: The reverse engineering required for Pro endpoints is significantly more difficult.

⚠️ Note: Official Reverse services can be quite volatile and aren't recommended for production environments. We suggest using the Official Relay API via APIYI (apiyi.com) to ensure stable service.

Veo 3.1 Status

Current Status: 🟢 Running Smoothly

Google Veo 3.1, a major competitor to Sora, currently offers:

Sora 2 API: Stability & Selection Guide

Choosing Based on Your Use Case

Hybrid Usage Strategy

For projects looking to balance cost and performance, a hybrid strategy works best:

class SoraAPIClient:
    """Sora API client with automatic fallback support"""

    def __init__(self, official_key, reverse_key, base_url="https://api.apiyi.com/v1"):
        self.official_client = openai.OpenAI(
            api_key=official_key,
            base_url=base_url
        )
        self.reverse_client = openai.OpenAI(
            api_key=reverse_key,
            base_url=base_url
        )

    def create_video(self, prompt, seconds=8, prefer_official=True, **kwargs):
        """
        Create a video with automatic fallback

        Args:
            prompt: Video description (prompt)
            seconds: Video duration
            prefer_official: Whether to prioritize Official Relay
        """
        clients = [
            (self.official_client, "official"),
            (self.reverse_client, "reverse")
        ] if prefer_official else [
            (self.reverse_client, "reverse"),
            (self.official_client, "official")
        ]

        last_error = None

        for client, api_type in clients:
            try:
                response = client.videos.create(
                    model="sora-2",
                    prompt=prompt,
                    seconds=seconds,
                    **kwargs
                )
                return {
                    "success": True,
                    "api_type": api_type,
                    "task_id": response.id
                }
            except Exception as e:
                last_error = e
                print(f"{api_type} API failed: {e}")
                continue

        return {
            "success": False,
            "error": str(last_error)
        }

# Example Usage
client = SoraAPIClient(
    official_key="YOUR_OFFICIAL_KEY",
    reverse_key="YOUR_REVERSE_KEY"
)

# Prioritize Official Relay, auto-fallback to Reverse on failure
result = client.create_video(
    prompt="A beautiful sunset over the ocean",
    seconds=8,
    prefer_official=True
)

Sora 2 API Status Monitoring FAQ

Sora 2 API Status Cheat Sheet

📌 Tip: Available platforms include APIYI (apiyi.com). We recommend choosing a platform that provides unified status monitoring for your API integration.

Summary

Monitoring Sora 2 API availability is crucial for maintaining business stability. Here are the key takeaways:

1. Distinguish the types: The stability of Official APIs is significantly higher than that of Inverse (unofficial) versions.
2. Real-time monitoring: Keep an eye on status.openai.com to track the status of official channels.
3. Choose wisely: You must use Official APIs for any production environment.
4. Fallback strategies: You can implement an automatic fallback from Official to Inverse APIs to ensure service continuity.

We recommend using APIYI (apiyi.com) to access stable Official API services while benefiting from unified status monitoring and alerting features.

Author: APIYI Team | For more AI development tips, visit apiyi.com

References:

1. OpenAI Status Page: Official service status monitoring
   • Link: status.openai.com
2. Sora 2 API Documentation: Official interface specifications
   • Link: platform.openai.com/docs/models/sora-2
3. Google Veo Documentation: Veo 3.1 API specifications
   • Link: ai.google.dev/gemini-api/docs/video