WebSocket Mode for the Responses API provides a persistent connection alternative to traditional HTTP-based AI interactions. It enables AI agents to maintain session state across multiple turns without requiring full context resending.

The key features include maintaining one persistent connection to /v1/responses without new HTTP handshake per turn. Only incremental inputs travel over the wire instead of the full context. Session state lives in memory, allowing the model to pick up exactly where it left off.

The system achieves significant performance improvements, with testing showing approximately 39% faster execution on complex multi-file tasks and up to 50% improvement in best cases. When paired with server-side compaction, agents can run for hours without hitting context limits.

The primary benefit is reduced latency for agentic workflows, particularly valuable for teams running production agents where latency affects user-perceived quality. This approach compounds value on heavy workloads rather than light ones.

This solution targets teams running agentic coding tools with repeated tool calls, computer-use and browser automation loops, and orchestration systems. It's designed for developers building production AI agents who need to optimize for performance and context management.