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微软发布 VS Code 1.133：调整 Agent 窗口，会话支持切换模型提供商
VS Code 1.133 升级 AI Agent 与模型切换，编程开发更智能顺滑
IT之家 8 月 13 日消息，微软昨日（8 月 12 日）发布公告，宣布推出 Visual Studio Code 1.133 更新， 调整 Agent 窗口的访问方式，并支持用户在会话进行期间切换模型提供商。 本次更新主要为开发者添加了实验性设置 chat.agentHost.allowSign…
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The Diary the Agent Left Behind
从84次提交到多供应商BYO-key客户端，揭秘AI智能体与测试智能体之间的无声协作协议，开发者日志之外藏着意外“遗言”。
I didn't set out to build a diary. I set out to build a canvas. agent-flow-canvas is a browser-based visual builder for AI agent workflows — drag out …
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CloudCone 九周年庆典 VPS 促销活动｜高性价比 SSD VPS 提供商，最低 124 元/年
九周年庆典促销，美国洛杉矶VPS最低124元/年，性价比超高，支持支付宝。
CloudCone 九周年庆典 VPS 促销活动已经开启，最低配 18.28 美元/年，折合人民币 124 元，美国洛杉矶，终身续订优惠。@Appinn 是的，涨价了。相较于此前的价格（84元/年），的确涨价了，幅度不小。 九周年庆典 这次 CloudCone 发来邮件的内容是九周年庆典，语言也很直
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Test OmniRoute Fallbacks for Semantic Consistency, Not Just Availability
多提供商网关的故障转移不能只看状态码，语义一致性才是保证可靠性的关键。
diegosouzapw/OmniRoute is an MIT-licensed AI gateway that advertises one endpoint across many providers and models, with quota-aware fallback and toke…
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FailureAtlas: A Taxonomy of Failure Modes in Multi-Provider LLM Serving Infrastructure
多提供商LLM服务基础设施的故障模式分类研究，系统梳理了各类故障及其根源，对提升服务可靠性有重要参考价值。
arXiv:2607.17525v1 Announce Type: new Abstract: Multi-provider LLM gateways reverse proxies that route, load-balance, and rate-limit requests across f…
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OmniRoute: The Open-Source AI Gateway Slashing Token Costs by 95%
开源AI网关OmniRoute，通过堆叠令牌压缩技术节省高达95%的token成本，支持250+提供商（含90+免费）。
Optimizing LLM Costs: Meet OmniRoute AI coding agents are boosting developer productivity, but they consume a massive amount of tokens. For developers…
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Show HN: Otari: your open-source LLM control plane
一键聚合40+LLM提供商，统一管理API密钥、预算和用量，开源控制平面来了。
Article URL: https://github.com/mozilla-ai/otari Comments URL: https://news.ycombinator.com/item?id=48810528 Points: 1 # Comments: 0
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Otari: The Open-Source LLM Control Plane
Mozilla AI推出开源控制平面Otari，统一路由多LLM请求并管理预算，降本增效利器。
Article URL: https://blog.mozilla.ai/introducing-otari-the-open-source-llm-control-plane/ Comments URL: https://news.ycombinator.com/item?id=48804378 …
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Comparing open weight AI models and providers
开源权重AI模型哪家强？横向对比多家提供商，真实体验与能耗数据一网打尽。
Article URL: https://wagtail.org/blog/comparing-open-weight-ai-models-and-providers/ Comments URL: https://news.ycombinator.com/item?id=48745748 Point…
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RubyLLM: A Ruby framework for all major AI providers
Ruby开发者福音！5分钟集成主流AI服务，支持问答、图像视频分析、文档总结等。
Article URL: https://rubyllm.com/ Comments URL: https://news.ycombinator.com/item?id=48660711 Points: 275 # Comments: 41
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Quantifying LLM Cost Savings from Cache-Aware Inference Routing
一文看懂如何通过缓存感知推理路由为LLM调用省下大笔开销，实测8万次请求数据说话。
Article URL: https://www.auriko.ai/reports/llm-cost-arbitrage Comments URL: https://news.ycombinator.com/item?id=48588557 Points: 4 # Comments: 1
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How to Choose the Right DevOps as a Service Provider
25年老手亲述：租用DevOps服务前必看的选型避坑指南，帮你避开花冤枉钱的套路。
I've spent 25 years building, breaking, and scaling production infrastructure — long enough to watch "DevOps" go from a conference buzzword to a thing…
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Story of How Im Running an Unlimited $6/Month AI Provider on 4x RTX 3090s
月付6美元不限量AI服务？用4张RTX 3090硬撑，从崩溃到逆袭的真实创业故事
This submission is a tale about how I launched an unlimited LLM provider to about 60 hyped people on the waitlist, then immediately served them a full…
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The AI Client in WordPress 7.0
WordPress 7.0原生集成AI客户端，一句PHP代码即可调用大模型，通用接口支持多提供商。
Article URL: https://make.wordpress.org/core/2026/03/24/introducing-the-ai-client-in-wordpress-7-0/ Comments URL: https://news.ycombinator.com/item?id…
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Show HN: Codeep – Open-source terminal AI coding agent, multi-provider
开源终端AI编码代理Codeep，支持GLM、GPT、Claude、DeepSeek等多模型提供商，升级2.0版本。
Article URL: https://github.com/VladoIvankovic/Codeep Comments URL: https://news.ycombinator.com/item?id=48196569 Points: 1 # Comments: 0
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Custom OIDC Providers for Supabase Auth
Supabase Auth 新增自定义 OIDC 支持，告别内置提供商限制，轻松对接任何标准身份源
Connect any OpenID Connect identity provider to your Supabase project: GitHub Enterprise, regional providers, and more.
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AI Gateway: Production-ready reliability for your AI apps
从快速构建到生产级可靠，Vercel AI Gateway为AI应用提供了故障转移、速率限制管理等关键能力，避免单点依赖，让规模化部署更从容。
Building an AI app can now take just minutes. With developer tools like the AI SDK , teams can build both AI frontends and backends that accept prompt…