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A Hacker News discussion exploring what API/interface should be used to build general real-time asynchronous LLM agents that can react to new stimuli (interruptions, live event streams) mid-inference, referencing the AsyncLLM preprint and existing vendor real-time APIs as partial solutions.
The author describes their agent workflow using asyncio.gather to batch vLLM API calls with shared prefixes and asks for best practices to optimize this process, proposing a pre-caching strategy for efficient decoding.
A tutorial on building a production-ready asynchronous multi-agent AI pipeline in Python to automate resume screening using three parallel agents: JD Analyzer, Resume Gap, and Project Matcher, with output synthesized into structured JSON recommendations.
Python 3.15 introduces smaller but notable features including graceful TaskGroup cancellation and context manager improvements for decorators, alongside major features like lazy imports and the tachyon profiler.