OpenAI’s Responses API now supports WebSockets, enabling AI agents to operate 30-40% faster, as announced by engineer Steven Heidel on February 23, 2026. This enhancement is particularly significant for agents that rely heavily on multiple tool calls, such as web searches, code execution, and database queries. By replacing the slower traditional HTTP polling and streaming methods with persistent bidirectional WebSocket connections, OpenAI has effectively reduced latency for each tool call round-trip, resulting in a more efficient workflow.
The introduction of WebSockets allows for real-time data exchange between clients and servers, facilitating quicker execution of API calls. Unlike standard HTTP requests, which can introduce delays due to their stateless nature and the need to establish a new connection for each request, WebSockets maintain an open connection that can handle multiple messages in both directions without the overhead of reconnection. This is crucial for AI agents that must make sequential calls, as the compounded reduction in latency can significantly enhance overall performance.
With the growing demand for sophisticated AI agents capable of performing complex tasks autonomously, the ability to streamline these interactions is a game changer. Developers building applications that leverage AI for coding assistance and other autonomous workflows will find this improvement invaluable. The faster response times enable a more fluid user experience and allow for more intricate operations to be performed within shorter time frames.
As competition intensifies in the AI agent market, with key players like Anthropic and Google also vying for dominance, OpenAI’s WebSocket integration positions it as a formidable contender. In 2026, infrastructure for AI agents has emerged as a critical battleground, and the ability to deliver faster, more efficient performance could be a decisive factor for developers and enterprises alike.
AI Disclosure: This article was produced with AI assistance based on publicly available sources. Flash Intel editorial standards apply.
