api-integration

To build a unified API adapter for monitoring AI usage, you implement modular adapters that integrate usage APIs from Claude, OpenAI, Copilot, ZhipuAI, and Gemini into a cohesive domain model. This provides unified visibility of resource usage, quotas, and alerts across services.

You collect system metrics for an AI monitoring gateway by implementing adapters that gather CPU and memory usage data through psutil and macmon. These adapters map the raw metrics to a clear domain model for monitoring and alerting.

The best way to handle asynchronous HTTP requests for multiple AI usage APIs is using async-httpx within modular adapter implementations. This ensures graceful degradation and maintains cohesive integration across diverse service providers.

Yes, you can integrate OpenClaw gateway alerts and external display notifications by wiring specific adapters for gateway notifications and the GeekMagic SmallTV Ultra external display into your monitoring system.

The modular adapter pattern fully supports extending to new AI providers. It provides clear guidance for adding new provider integrations and deploying them to agentic-dev-gauge while maintaining end-to-end integration and graceful degradation.

Using modular adapters instead of direct API calls ensures graceful degradation, clear domain model mapping, and unified visibility across Claude, OpenAI, and Gemini. This approach satisfies end-to-end integration requirements for managing multiple AI agents.