Speeding up agentic workflows with WebSockets in the Responses API
OpenAI has introduced improvements to its Responses API using WebSockets. This allows for faster agentic workflows by reducing API overhead and improving model latency through connection-scoped caching. The change is part of the Codex agent loop, which enables more efficient interactions between users and AI models.
OpenAI has introduced improvements to its Responses API using WebSockets. This allows for faster agentic workflows by reducing API overhead and improving model latency through connection-scoped caching. The change is part of the Codex agent loop, which enables more efficient interactions between users and AI models.
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Why it matters: This matters because it can lead to significant performance improvements in applications that rely on OpenAI's Responses API, such as chatbots or virtual assistants.
Source: https://openai.com/index/speeding-up-agentic-workflows-with-websockets
This article was originally published at: https://openai.com/index/speeding-up-agentic-workflows-wi...