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OpenAI Agents API Public Beta in September 2026: A Practical Guide to the Managed Codex Harness OpenAI’s Agents API public beta is aimed at teams that have moved beyond a single model call but do not want to maintain every part of an agent runtime themselves. The managed Codex harness provides durable sessions, sandbox execution, MCP tool access, delegated subagents, context compaction, and streamed events behind an API surface. The important distinction is architectural: you still define the agent’s instructions, tools, permissions, and business logic, but OpenAI manages much of the loop that decides when to call a tool, continue reasoning, compact history, or hand work to another agent. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) What the managed harness actually provides A conventional agent is often a loop around a model: Send the convers...

Alcoholic Drinks: A Stage Select for Every Taste Some battles are won with a charge shot. Others are won with a well-poured drink. Whether you're hosting a retro game night or just clearing a long week, the right beverage is the ultimate power-up. Think of this list as your stage select screen — choose your weapon, pour with precision, and enjoy the victory lap. The Blue Bomber's Guide to Themed Cocktails The Mega Man universe is built on choices: pick a Robot Master, earn their weapon, and adapt. Crafting a drink list works the same way. You start with a base, add a twist, and suddenly you've unlocked something new. Here are the best alcoholic drinks for fans who appreciate flavor as much as they appreciate pixel-perfect jumps. 1. The Metal Blade Margarita Sharp, precise, and impossible to ignore. The Metal Blade is one of the most iconic weapons in the franchise, and this margarita matches its reputation. Ingredients: Silver tequila, fresh lime juice, orange liqueu...

GPT-Live-1 for Developers (September 2026): Building Full-Duplex Voice Apps at $0.05 per Minute GPT-Live-1 is OpenAI's full-duplex voice model for API developers who need conversations to behave more like natural calls than a sequence of recorded prompts and replies. At $0.05 per minute, it targets applications such as phone support, voice assistants, appointment scheduling, field-service workflows, and hands-free interfaces. The important change is not only lower-latency speech generation. Full-duplex communication changes how your application handles speaking, listening, interruptions, tools, state, and delegation to other models. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) [Illustration space: full-duplex audio flow] [Illustration space: GPT-Live-1 connected to Responses models and tools] What “full-duplex” means In a traditional turn-bas...

Arm AI Portal for Developers: A Practical Guide to Finding and Deploying Optimized AI Models Arm’s new AI Portal gives developers a more practical way to discover, evaluate, and deploy generative AI and edge AI models on Arm-based hardware. Instead of starting with a model repository, downloading several variants, compiling each one, and guessing which will fit a phone, robot, or CPU server, developers can search for models by task, target platform, runtime, and performance requirements. The portal also exposes useful comparison data such as latency, memory usage, and model size, making it easier to choose a model that fits the application rather than simply choosing the most accurate model available. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) For developers building on Arm compute, the portal is especially relevant to systems using Arm architecture ...

Structured Outputs and Constrained Decoding for Production AI Agents in September 2026 Production AI agents do not fail only because a model gives a wrong answer. They also fail because the answer is almost correct, malformed, incomplete, or impossible for the next component to parse. A tool router may expect a JSON object but receive Markdown. An extraction step may return a valid-looking field with the wrong type. A workflow may crash because a model omitted a required property or added an unexpected one. Structured outputs and constrained decoding address this reliability problem by making the model generate text that conforms to a declared format. Image: Rbrechko via Wikimedia Commons (CC BY-SA 4.0) Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) That sounds like a straightforward improvement, but it introduces an important trade-off. Constraints can improve correctness at the interface while reducing the model’s freedom during rea...

Google ADK for Kotlin 1.0: A Practical Guide to Production AI Agents Google Agent Development Kit (ADK) for Kotlin 1.0 reaches general availability in September 2026, bringing Google’s agent-building framework to Kotlin Multiplatform and Android-first development. The release is aimed at developers who need more than a chat interface: multi-agent workflows, tool execution, approval steps, resumable sessions, local inference, cloud models, and deployment through Vertex AI Agent Platform. This guide explains how to choose ADK for Kotlin, structure an agent application, persist sessions, handle human confirmation safely, and decide when Python or JavaScript ADK remains the better option. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) What ADK for Kotlin is designed to solve An AI agent is an application that can interpret a request, decide which action...

Native Multimodal Models for AI Agents: What Ant Group Ling-3.0-flash-VL Means for Visual Feedback Loops AI agents are moving beyond text interfaces. In 2026, many useful agents will need to inspect screenshots, compare visual states, read documents, understand charts, operate software, and verify whether an action produced the intended result. Ant Group’s Ling-3.0-flash-VL is an example of the open multimodal models teams are evaluating for this role. Its reported 124-billion-parameter mixture-of-experts design and 256K context window point toward a model built for long, visually grounded workflows rather than isolated image questions. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) The important question is not simply whether a model can describe an image. Agent systems need a more demanding capability: they must observe a changing environment, compar...