Gemini API Errors in Google Antigravity IDE? Deep Dive into the Latest IP Risk Control & Solutions

# Gemini API Errors in Google Antigravity IDE? Deep Dive into the Latest IP Risk Control & Solutions ## 🚨 The Issue: Gemini Requests Blocked in Antigravity IDE Recently, many developers have encountered unexpected request rejections when calling the **Gemini 3.7 Flash (High Thinking)** model using the latest version of the Antigravity IDE (v2.5.5). Tests show that even when the initial account token validation passes, the system rapidly returns an Agent-level error within a second, blocking the prompt generation. ## 🔍 Deep Testing: Finding the Culprit To pinpoint the exact cause, we conducted rigorous A/B and controlled variable testing: - **Single Variable Test (Switching IPs)**: While keeping the account, Gemini model, thinking strength, and IDE exactly the same, we changed only the network environment (from IP-01 to IP-02). The result? **The request went through instantly after the IP switch.** This strongly indicates that Google has deployed new IP-based risk control policies. - **Cross-Platform Verification (Google AI Studio)**: To understand the scope of this restriction, we kept the restricted IP-01 and the same account, but made identical requests via the web-based **Google AI Studio**. Interestingly, the request succeeded without any issues. This suggests the IP restriction targets the API endpoints used specifically by Antigravity IDE. ## 💡 Core Analysis and Industry Tech Trends Why is there a discrepancy in API limitations across different endpoints? 1. **Surge in Computational Demand**: Since the launch of Gemini 3.7 Flash, its outstanding reasoning performance has led to a massive spike in API demand. With overall compute quotas being finite, platforms must implement strict risk controls to balance the server load. 2. **Invisible IP Quota Mechanics**: This phenomenon is highly similar to the restrictions we previously observed with *Codex*. The platform has likely assigned invisible dynamic quotas based on IP addresses. When a specific IP hits a threshold on a third-party client endpoint (like IDE APIs), it triggers a block, whereas the official web portal (AI Studio) operates on a separate, more lenient quota pool. ## 🔮 Recommendations & Future Outlook It is worth noting that this isn't the first time Google has applied IP-tier limitations within Antigravity. Based on our channel's long-term observations, previous restrictions were often dynamically adjusted or relaxed within a few days or weeks. Whether this is an intentional lifting of the ban or a periodic expansion of the compute pool remains unknown. However, one thing is certain: as LLMs (Large Language Models) see broader integration, API request restrictions and risk control measures will **only become stricter**. **Advice for Developers**: Maintain multi-layer network environments and always have backup API workflows ready. Being prepared will prevent these platform-side risk controls from bottlenecking your AI development efficiency.