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Responses API
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responses-api-84c7d255·19 events·first seen Aliases: Responses API
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Recent events (19)
OpenAI releases GPT-5.6 model family with Sol, Terra, and Luna tiers
OpenAI has launched GPT-5.6, a new flagship model family available across ChatGPT, Codex, and the API, with a global rollout completing within 24 hours. The family includes three tiers: GPT-5.6 Sol (frontier capability), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (high-volume efficiency). The release introduces several new API capabilities including Programmatic Tool Calling, explicit prompt caching controls, persisted reasoning, max reasoning effort, Pro mode, and multi-agent orchestration in beta via the Responses API. Image input now accepts original dimensions with configurable detail settings.
OpenAI releases GPT-5.2-Codex to Responses API
OpenAI has released GPT-5.2-Codex via the Responses API, a variant of GPT-5.2 specifically optimized for agentic coding tasks in Codex and similar environments. The release extends the GPT-5.2 model family with a coding-specialized deployment. This is a tier-1 announcement from OpenAI's official release notes.
OpenAI launches server-side compaction in the Responses API
OpenAI has shipped server-side compaction to its Responses API, a feature that manages context window usage automatically on the server side. This reduces the burden on developers to manually truncate or summarize conversation history when building long-running or agentic applications. The release is a quality-of-life infrastructure improvement for API consumers.
OpenAI launches Skills support in the Responses API with local and hosted execution
OpenAI added Skills support to its Responses API, enabling both local execution and hosted container-based execution modes. Skills appear to be a new capability primitive within the Responses API ecosystem, extending what developers can build with the API. The announcement is brief and lacks detail on the specific capabilities or use cases Skills enable.
OpenAI launches WebSocket mode for the Responses API
OpenAI added WebSocket mode to its Responses API, enabling persistent bidirectional connections for API consumers. This is an infrastructure-level capability update that allows lower-latency, streaming-friendly integrations compared to standard HTTP request-response patterns. The change is relevant for developers building real-time or agentic applications on top of OpenAI's API.
OpenAI releases GPT-5.3-Codex to the Responses API
OpenAI has made GPT-5.3-Codex available through its Responses API. The release note is minimal, providing no benchmark claims or capability details beyond the availability announcement. GPT-5.3-Codex appears to be a code-specialized variant in the GPT-5 family.
OpenAI adds phase labeling to Responses API
OpenAI released a 'phase' field to the Responses API that labels assistant messages as either intermediate commentary or a final answer. This allows developers to distinguish reasoning steps from terminal outputs in API responses. The feature is a targeted ergonomic improvement for agentic and multi-step workflows.
OpenAI releases gpt-5.3-chat-latest to Chat Completions and Responses API
OpenAI has made gpt-5.3-chat-latest available via the Chat Completions and Responses API, pointing to the GPT-5.3 Instant snapshot currently powering ChatGPT. This release gives API developers access to the same model version deployed in the consumer product. The update is a routine API availability expansion rather than a new model capability announcement.
OpenAI releases GPT-5.4 and GPT-5.4 pro to the API with computer use, 1M context, and tool search
OpenAI released GPT-5.4 and GPT-5.4 pro to the Chat Completions and Responses API, positioning them as frontier models for professional and compute-intensive work. The release bundles several infrastructure capabilities: tool search for deferred runtime tool loading to reduce token usage and improve latency, built-in computer use via screenshot-based UI interaction, a 1M token context window, and native Compaction support for long-running agent workflows. These additions collectively advance OpenAI's agentic API surface significantly. Note: as of the current canonical facts, GPT-5.5 is the current OpenAI flagship, making this a prior-generation release.
OpenAI releases GPT-5.5 and GPT-5.5 Pro to the API with 1M token context and built-in agentic tools
OpenAI released GPT-5.5 and GPT-5.5 Pro to the Chat Completions and Responses API, positioning them as frontier models for complex professional work and compute-intensive tasks respectively. GPT-5.5 supports a 1M token context window, image input, structured outputs, function calling, built-in computer use, hosted shell, MCP, web search, and Skills. Notable behavioral changes include reasoning effort defaulting to medium and extended-only prompt caching support.
OpenAI adds return_token_budget parameter to Responses API web search tool
OpenAI added a new `return_token_budget` parameter to the Responses API web search tool, enabling longer reasoning-augmented web search runs for GPT-5 and later models. The feature is opt-in and targets high-effort research and evaluation workloads. This extends the controllability of inference-time compute for web-grounded tasks.
OpenAI releases Secure MCP Tunnel for enterprise customers
OpenAI has released Secure MCP Tunnel, an enterprise feature enabling supported products—ChatGPT web, Codex, Responses API, and AgentKit—to connect to private or on-premises MCP servers via a customer-hosted tunnel client without exposing those servers to the public internet. The feature addresses a key enterprise adoption barrier by allowing MCP-based tool integrations to remain within private network boundaries. This is a meaningful infrastructure addition for organizations deploying AI agents against internal systems.
OpenAI models now available in Amazon Bedrock via Responses API
OpenAI has made its models available through Amazon Bedrock using an OpenAI-compatible Responses API endpoint. Supported models and features vary by AWS Region. This expands OpenAI's distribution reach into AWS's managed AI infrastructure, giving enterprise customers access to OpenAI models within the Bedrock ecosystem.
OpenAI adds inline moderation scores to Responses API and Chat Completions API
OpenAI has added moderation scoring directly to the Responses API and Chat Completions API, allowing developers to receive moderation results for both inputs and outputs in a single API call. Previously, moderation required a separate API request. This reduces latency and integration complexity for applications that need content safety checks.
OpenAI adds image results to web search in the Responses API
OpenAI's Responses API web search tool now returns image results alongside text results. The feature targets use cases requiring web-grounded visuals such as product photos, landmarks, events, and visual references. This expands the multimodal utility of the Responses API for developers building search-augmented applications.
New Tools and Features in the Responses API
OpenAI announced new tools and features for its Responses API, expanding the capabilities available to developers building on the platform. The update likely includes additional built-in tools, improved function calling, or new modalities accessible through the API. As a Tier 1 source announcement, this represents a meaningful expansion of OpenAI's developer-facing infrastructure. Specific details were not available in the body text provided.
Unrolling the Codex Agent Loop
OpenAI published a technical deep dive into the Codex CLI agent loop, detailing how it orchestrates models, tools, and prompts via the Responses API. The post explains the internal architecture of the agentic coding system, including how the loop manages state, tool calls, and performance. This provides concrete implementation detail on how OpenAI structures production agent workflows on top of its API primitives.
From model to agent: Equipping the Responses API with a computer environment
OpenAI describes how it built an agent runtime by combining the Responses API with a shell tool and hosted containers, enabling agents to operate with persistent files, tools, and state. The architecture supports secure, scalable execution of agentic workflows. This represents a concrete infrastructure layer for deploying agents in production environments.
Speeding up agentic workflows with WebSockets in the Responses API
OpenAI published a technical deep dive into the Codex agent loop, detailing how WebSockets and connection-scoped caching were used to reduce API overhead and improve model latency. The post focuses on infrastructure optimizations within the Responses API for agentic workflows. These changes are relevant to developers building multi-step agent pipelines that rely on repeated API calls.