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Responses API

Trial

Platforms

OpenAI’s API format for generating text, structured outputs, media, and agentic loops.

Why it's here

Placed in Trial: 6 article(s) of evidence from 5 source(s), led by framework updates, with 2 in the last 30 days. Confidence 79%.

Evidence (6)

  • 8Simon Willison·8/4/2026framework_update
    LLM 0.32 adds reasoning traces, OpenAI Responses support, and smarter logging

    LLM 0.32 is a major release that adds visible reasoning traces, support for server-side tools, redesigned content-addressable SQLite logs, and new model support including GPT-5.6. The update also introduces Python API changes for message-based prompts and event streaming, plus a new llm-chat-completions-server plugin and substantial llm-anthropic updates.

  • 8Simon Willison·7/31/2026model_release
    DeepSeek V4-Flash API Enters Public Beta

    DeepSeek has released the V4-Flash API in public beta, with the calling interface unchanged but the model name updated to deepseek-v4-flash. The update claims stronger agent performance, native support for the Responses API format, and adaptation for Codex, while the V4-Pro API and app/web models remain unchanged.

  • 6OpenAI Blog·4/22/2026framework_update
    WebSockets speed up Codex agent workflows in Responses API

    OpenAI details how its Codex agent loop uses WebSockets and connection-scoped caching to reduce API overhead. The changes improve model latency and make agentic workflows more responsive.

  • 7OpenAI Blog·3/11/2026framework_update
    OpenAI adds secure computer environments to Responses API

    OpenAI says it has built an agent runtime on top of the Responses API using a shell tool and hosted containers. The setup is designed to let agents use files, tools, and persistent state in a secure, scalable environment.

  • 6OpenAI Blog·1/23/2026framework_update
    Inside the Codex Agent Loop

    OpenAI provides a technical deep dive into how the Codex agent loop works in Codex CLI. The post explains how it orchestrates models, tools, prompts, and performance using the Responses API.

  • 7Hugging Face Blog·1/15/2026open_source
    Hugging Face backs Open Responses for agent workflows

    Hugging Face introduced Open Responses, an open inference standard based on OpenAI’s Responses API and intended for agentic workloads. The post explains how it aims to replace Chat Completions with a more flexible, open format for stateless requests, semantic streaming, and provider-specific extensions.