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Show HN: Vergilant – alerts when your LLM API calls fail, stall, or burn money
实时监控LLM API调用，快速定位故障与浪费，守卫你的每一分钱。
Article URL: https://vergilant.dev Comments URL: https://news.ycombinator.com/item?id=49257728 Points: 1 # Comments: 0
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Trace digests for LLM monitoring, at 1/30th the price of Sonnet
对比Claude Sonnet，用1/30成本实现LLM跟踪摘要，监控效率飙升。
We run one LLM call on every agent trace we ingest: it reduces the trace to a short, searchable digest. Because it runs on every trace from every cust…
3
Adaptively Robust LLM Monitoring via Activation Watermarking
提出激活水印技术，使LLM监控对适应性攻击更鲁棒，防范离线搜索逃逸。
arXiv:2603.23171v3 Announce Type: replace-cross Abstract: Providers monitor deployed large language models (LLMs) to detect misuse that they cannot pr…
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Enprompta – Prompt Registry, LLM Evals, and Observability for Production AI Apps
两行代码集成，让你对生产环境AI应用调用一览无余的观测与评估工具。
Article URL: https://enprompta.com/ Comments URL: https://news.ycombinator.com/item?id=49095172 Points: 2 # Comments: 0
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TraceLLM
为生产级AI应用打造的可观测性方案，让LLM监控像OpenTelemetry一样标准化。
OpenTelemetry for production AI applications Discussion | Link
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Show HN: Catch your local LLM falling back to CPU
监控你的本地LLM是否偷偷用CPU运行，这个开源工具让你一目了然。
Article URL: https://github.com/logxio/picchio Comments URL: https://news.ycombinator.com/item?id=48874905 Points: 2 # Comments: 0
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Ask HN: What metrics do you track when building agents?
专为 AI 代理打造的 LLM 可观测平台，可实时追踪推理成本与工具调用链，快速揪出隐藏的性能瓶颈。
The main metric I look at is inference cost, which is a pretty good indicator when something's off. However, a couple of days a go I discovered we wer…
8
Stop Monitoring AI Systems Like Web Services
别再拿Web服务的监控思维套AI系统，LLM的延迟与成本逻辑完全不同。
Article URL: https://www.newsletter.swirlai.com/p/stop-monitoring-ai-systems-like-web Comments URL: https://news.ycombinator.com/item?id=48526569 Poin…
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Show HN: Lumen–free Real-time LLM token and cost monitor
免费实时监控LLM token消耗与成本，开源工具助你精准管理AI调用。
Article URL: https://github.com/DataGrout/lumen Comments URL: https://news.ycombinator.com/item?id=48490139 Points: 2 # Comments: 0
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Ask HN: How do you solve AI's confused deputy problem?
探讨AI代理陷入权限困境的核心矛盾，以及用LLM监控的实践思路
An agent's value is proportional to the permissions it's been granted. There's been a lot of hype around solutions like default denial proxies, key va…
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Detecting Is Not Resolving: The Monitoring Control Gap in Retrieval Augmented LLMs
揭示RAG系统「监测≠解决」的关键缺口，用实证分析控管脱节并提出缓解思路
arXiv:2605.27157v1 Announce Type: new Abstract: Retrieval-augmented LLMs are deployed for tasks where evidence quality determines action safety, yet e…
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Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring
打破传统静态审计，提出运行时框架实现LLM持续合规监控，为AI治理提供新思路
arXiv:2605.24737v1 Announce Type: cross Abstract: Current approaches to AI compliance treat conformity as a binary, audit-time verdict rather than a c…