GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval

We build a practical GLM-5.2 workflow using its hosted, OpenAI-compatible API instead of running the model locally. We set up multiple providers, load the API key securely, and create a reusable chat wrapper. We then test thinking-effort control, streamed reasoning, function calling, a tool-using agent, structured JSON output, and long-context retrieval. We close with token and cost accounting so every demo stays measurable. The post GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning E

OpenAI is handing out Codex limit resets 2.5x faster than it did last year. I logged all 32

<div class="md"><p>I keep a record of every shared Codex limit reset OpenAI has handed out since September 2025. These aren’t the standard five-hour or weekly refills included with your plan. They’re the extra resets publicly announced for everyone. Another one landed today at 1:43 p.m. PT.</p> <p>The pace has changed significantly, and it doesn’t seem to be common knowledge. There have been 32 resets in 347 days, an average of one every 10.8 days. But there were 16 in the last 90

End of the deal with Cursor

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1w1dbxv/end_of_the_deal_with_cursor/"> <img src="https://preview.redd.it/n8iw6obdy8mh1.png?width=640&crop=smart&auto=webp&s=57062fd0fab55da3eaf4e91233a14bcf833f16e9" alt="End of the deal with Cursor" title="End of the deal with Cursor" /> </a> </td><td>   submitted by   <a href="https://www.reddit.com/user/Far-Sock-3170"> /u/Far-Sock-3170 </a> <br/> <span><a href="https://i.redd.it/n8iw6obdy8mh1.png">[link]</a

AI benchmarks have a trust problem and Google wants to fix it

Google Deepmind is testing a double-blind evaluation of a frontier AI model for the first time. Cryptographic protection through Confidential Space is meant to keep Google from seeing the test questions and keep evaluators from seeing the model weights. The pilot project with the Singapore AI Safety Institute uses a Gemini Flash Lite and could set a new standard for tamper-proof AI benchmarks. The article AI benchmarks have a trust problem and Google wants to fix it appeared first on The Decoder

GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval

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