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OpenAI's Decisions API Is Now Live for Everyone — and It Was Built to Catch a Startup

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  Most AI answers arrive as essays. OpenAI's new Decisions API doesn't write a word — it answers yes or no, picks from your categories, or scores on your rubric, in 100 to 180 milliseconds. It went generally available this week, and the backstory is the best part: OpenAI's own product lead, Nikunj Handa, reportedly admitted the product wasn't on the roadmap four weeks ago. A small startup forced the sprint. Yes or no, in 100 milliseconds The API runs on GPT-6 Luna. Developers send text or images plus typed questions and get machine-readable answers in three shapes: a probability that a condition is true, a pick from a fixed list with a probability for each, or a score on rubric levels you define. Input costs $0.10 per million tokens, and output tokens are free. It launched as a public beta on October 6 (after a limited DevDay preview in late September), and the general release adds voice and visual input plus geographically targeted inference. Early customer Speak, the...

OpenAI, Anthropic, Hugging Face and Alibaba Just Donated Their Agent Tools to Open Standards

Illustration of four glowing agent-building blocks — skills, model APIs, training environments, sandboxes — flying from corporate towers toward a central open-source assembly, titled AI Rivals Donate Agent Standards
OpenAI logo Anthropic logo Hugging Face logo

AI's biggest rivals just donated their tools to the commons. At AGNTCon + MCPCon North America in San Jose, the Agentic AI Foundation (AAIF) announced four new open projects — and each one came from a different giant: OpenAI, Anthropic, Hugging Face, and Alibaba.

The AAIF went from three projects to ten in its first year, and this announcement covers four layers of the agent stack at once: how agents gain new skills, how apps talk to models across providers, how agents are trained and evaluated, and where they run safely. In other words, the industry is standardizing the plumbing of AI agents — and doing it in the open.

What got donated

Each company handed over a real, working piece of infrastructure. Agent Skills, contributed by Anthropic, is an open format for packaging agent capabilities — instructions, scripts, and resources an agent can load on demand, portable across agent products. It's the same spec Anthropic launched about a year ago. Open Responses, from OpenAI, is an open specification for building multi-provider LLM interfaces based on the OpenAI Responses API: one shared schema, consistent streaming events, and extensible tooling, so developers can write requests once and run them across model providers.

OpenEnv, contributed by Hugging Face, is an open framework and community hub for reinforcement-learning environments — containerized, plug-and-play services built on the familiar Gym interface and the Model Context Protocol (MCP). And OpenSandbox, from Alibaba, is a general-purpose sandbox platform for AI apps: multi-language SDKs, unified sandbox APIs, and Docker/Kubernetes runtimes for coding agents, GUI agents, agent evaluation, and RL training.

Why this matters

Today, building an agent mostly means locking into one vendor's SDK. These donations push the other direction: vendor-neutral governance where Agent Skills, Open Responses, OpenEnv, and OpenSandbox sit alongside MCP, Agent2Agent (A2A), goose, and AGENTS.md under one neutral roof. "Four different companies chose to contribute them to neutral governance," said AAIF CTO and co-founder Manik Surtani. "No single company controlling the outcome."

This is also the layer the agent wars are quietly being fought at. As proactive agents like Claude Duet and OpenAI's Dots go mainstream, the question isn't just which agent is smartest — it's which infrastructure they all share. Standard sandboxes and shared evaluation environments also matter for safety: you can't build a kill switch for agents without a common definition of where agents run.

AiPost's take

Rivals donating infrastructure is rare — and a signal. When OpenAI and Anthropic both hand their tooling to a neutral foundation, it means the agent race has moved past "who has the best model" to "whose plumbing everyone builds on." For developers, that's good news: skills that work everywhere, APIs that don't lock you in, sandboxes that are actually standard. Watch what gets built on these specs — that's where the next wave of agents will come from.

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