Distributed Readings

Developers needed a way to dynamically route API requests to different LLM providers (Gemini, Claude, OpenAI) without hardcoding endpoints or managing custom proxy infrastructure.

AI agent infrastructure needed to scale horizontally and support long-running interactive tasks without being constrained by stateful architecture patterns.

Real-time AI agents with long-lived stateful bidirectional streams cannot be effectively load-balanced using traditional request-response metrics because server capacity is obscured by the nature of continuous conversations.