For AI Applications
Build callable network capabilities

Agents operate across diverse platforms and runtime environments, requiring state synchronization among multiple roles and often involving long call chains.

Cross-region access between edge and cloud requires selecting among multiple entry points for inference requests, with response stability affected by network fluctuations.

The toolchain consists of numerous MCP services and internal APIs, with credentials scattered across disparate systems, making it difficult to uniformly observe asynchronous and concurrent requests.

Image, audio, and video requests generate significantly higher data volumes than text. A single link can easily become a bottleneck, making retransmission after interruptions costly.

Large model files and vector datasets, combined with long transfer times, make cross-region link jitter significantly increase the cost of failure retries.