689 summarised stories about AI APIs & Integration, each linking back to the original source. Browse all topics →
Product Hunt 2 months ago 5
HarnessRouter Community Edition is an open-source unified interface for agent harnesses. The specific release mentioned is named “HarnessRouter Community Edition.” This provides a single interface layer for working with agent harness setups, rather than being a full standalone system.
Simon Willison’s Weblog 2 months ago 41 ● 8 sources
The llm-gemini 0.33 plugin was released with support for the Gemini 3.7 Flash release and related model variants. It adds compatibility with LLM 0.32 and includes a server-side tools example using gemini-3.7-flash with CodeExecution to run a Python factorial calculation of 13. As a result, reasoning traces can be viewed and server-side tools can be enabled, but a Safari-rendering issue can make the pelican SVG missing in Firefox and Chrome.
TechCrunch 2 months ago 7
IBM announced a partnership with OpenAI to market OpenAI models and tools to more enterprise customers via IBM Consulting. IBM will train and certify tens of thousands of consultants over the next several months, including on OpenAI’s Codex, API, and cybersecurity. The change expands IBM Consulting’s OpenAI-focused delivery—through dedicated practices and integrating models like GPT-5.6 into IBM Consulting Advantage—boosting OpenAI enterprise distribution through IBM’s consulting network.
OpenAI 2 months ago 17
The builder’s guide explains how startups can use GPT‑5.6 to build AI agents more efficiently. It highlights new “Responses API” capabilities as a key concrete change. As a result, teams can select models smarter and use the API to make their agents faster and lower cost.
OpenAI 2 months ago 12 ● 3 sources
OpenAI introduced a new API service tier, called Ultrafast, that runs GPT-5.6 Sol at speeds up to 14× faster. It can deliver up to 750 output tokens per second. Developers can choose this tier for higher-throughput GPT-5.6 Sol responses.
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20 October 2026
AI infrastructure is getting a very practical second act today: making agents faster to start, cheaper to run, and easier to govern once they’re running. Daytona, which sells an “agentic cloud” built around VMs for agent “computers,” raised $60 million in a Series B and landed at a $1 billion valuation, targeting 60-millisecond sandbox provisioning—an attempt to knock down the latency tax that makes agents feel sluggish between steps. IBM, Red Hat, and others also pushed llm-d framework 1.0, adding operational controls for in-house distributed inference, including multi-tenant QoS, zero-downtime upgrades, and router behavior measured on an agentic coding test that reportedly captured 97% cache reuse.
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