AI Dev Weekly #25: GPT-6 Astra Arrives, Kotlin Agents Reach 1.0, Copilot Adds Enforced Permissions

AI Dev Weekly is a Thursday series where I cover the week's most important AI developer news, with my take as someone who actually uses these tools daily. Four different layers of the agent stack changed this week. OpenAI introduced GPT-6 Astra for the hardest tool-rich work. Google made its Kotlin agent framework production-ready. GitHub gave enterprise administrators permissions that local settings cannot weaken. And NVIDIA released a local inference router that spreads independent agent calls across computers you already own. 1. GPT-6 Astra raises the ceiling and the bill OpenAI introduced GPT-6 Astra as its highest-capability model for complex reasoning, coding, computer use, research, and document creation. The API model ID is gpt-6-astra , with a 1,050,000-token context window, 128,000 maximum output tokens, and low through max reasoning levels. The official model guide adds three API capabilities that matter more than another benchmark table: asynchronous tool calls , so the model can continue independent work while your application runs a slow tool; mid-turn steering over a WebSocket connection, preserving completed work when requirements change; reasoning updates without breaking the prompt cache , using a configuration_update item to change effort during a conversation. These features are aimed at long-running systems, not one-shot chat. Async tools require the application to track pending calls and return results with the original call ID. Mid-turn steering needs event handling that distinguishes new instructions from tool results. Neither feature makes concurrency safe automatically. Standard pricing is $10 per million input tokens, $1 per million cached input tokens, and $50 per million output tokens . Cache writes cost $12.50 per million. Batch and Flex are half the standard rates, while Fast mode is twice the standard price. There is also a long-context cliff. Requests above 272,000 input tokens charge the full request at 2x input and cache rates and