Responses-Api

If you are shipping on OpenAI Assistants API, migrate now because the platform has a fixed retirement timeline and the migration is an architecture rewrite, not a search-and-replace. The official deprecation notice was published with a one-year runway, so the hard part is usually your state model and tool integration, not endpoint syntax. In practice, you should move in phases: map resources, move prompts, manage history explicitly, and then harden observability before the 2026 shutdown. ...

GPT-6 is not Spud. Spud shipped as GPT-5.5 on April 23, 2026 — a significant but differently-named model. The real GPT-6 is the next-generation system in OpenAI’s pipeline, and Polymarket traders give it 84% odds of releasing by December 31, 2026. Here is exactly what to change in your codebase now so that GPT-6 is a one-config-line upgrade, not a week-long rewrite. What Is GPT-6 (Spud)? Understanding the Naming Confusion GPT-6 (sometimes called “Spud” by developers) refers to the next major OpenAI model after GPT-5.5 — but the Spud codename has caused significant confusion in the developer community. The model internally codenamed “Spud” actually shipped on April 23, 2026 as GPT-5.5, not GPT-6. This naming slip caused many developers to believe GPT-6 was already live. It is not. GPT-5.5 achieved an Intelligence Index score of 60 on Artificial Analysis, topping all 153 reasoning models on the leaderboard at launch. Its API pricing is $5 per 1M input tokens and $30 per 1M output tokens — exactly double GPT-5.4. The real GPT-6 is the next-next model: it is expected to deliver a 40% performance improvement over current models in coding, reasoning, and agentic tasks, and to feature a 2 million token context window (double GPT-5.5’s 1M limit). For developers, the practical takeaway is straightforward: any code that hardcodes "gpt-5.5" or references Spud directly will need to change when GPT-6 lands. Start abstracting now. ...

GPT-5-Codex is OpenAI’s software-engineering-optimized model family, built specifically for agentic coding tasks like feature development, debugging, and large-scale refactoring. Unlike general-purpose GPT models, it runs exclusively through the Responses API and powers the OpenAI Codex platform, which reached 4 million weekly active developers by April 2026. What Is GPT-5-Codex? Understanding OpenAI’s SWE-Optimized Model Family GPT-5-Codex is a specialized series of language models from OpenAI, purpose-built for software engineering tasks that require long-horizon reasoning, multi-file context comprehension, and autonomous code execution. Unlike general-purpose models such as GPT-5.5, the GPT-5-Codex family is optimized for agentic workflows — meaning it can plan a multi-step coding task, interact with tools like shells and file systems, and iterate on results without continuous human intervention. The original gpt-5-codex model was released on September 23, 2025, priced at $1.25 per 1M input tokens and $10.00 per 1M output tokens, and was immediately positioned as the backbone of OpenAI’s Codex platform. A critical distinction developers must understand: GPT-5-Codex is available only through the Responses API, not the older Chat Completions API — this is not a minor implementation detail, but a paradigm shift in how you structure API calls, tool use, and conversation state. The model family has since expanded through GPT-5.1-Codex, GPT-5.2-Codex, and GPT-5.3-Codex, each improving SWE-Bench Pro scores while introducing better context compaction and reduced output token overhead. ...

The OpenAI Computer Use API lets you build agents that see a screen, click, type, and navigate web browsers — all through a single API call. This guide walks you through every implementation option, from a 20-line quickstart to production-grade sandboxed agents. What Is the OpenAI Computer Use API? The OpenAI Computer Use API is a capability within the Responses API that lets the computer-use-preview model observe screenshots, interpret UI elements, and emit structured actions (click, type, scroll, keypress) to control a computer or browser. Unlike traditional automation libraries like Selenium or Playwright that require explicit CSS selectors or XPath queries, Computer Use reasons visually about any interface — it reads pixel-level screenshots and decides what to interact with next. OpenAI first released computer-use-preview in early 2026, following Anthropic’s lead with Claude’s computer use. As of April 2026, OpenAI’s API processes over 15 billion tokens per minute, and the computer use capability has become a foundation for autonomous QA testing, data extraction pipelines, and RPA replacement use cases. The model supports screenshots up to 10,240,000 pixels (using detail: "original"), with optimal resolutions of 1440×900 or 1600×900 for desktop environments. The core workflow is a loop: capture screenshot → send to model → receive action → execute action → repeat until task completes. ...