开发者工具1 month ago
Telemetry — Observability for AI and LLM apps
监控AI应用中的模型调用、代理步骤和检索，追踪令牌、成本和延迟。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
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监控AI应用中的模型调用、代理步骤和检索，追踪令牌、成本和延迟。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
在空间节点画布上协作AI项目，组织语言模型上下文。
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift
实时可视化硬件在运行LLM推理时的性能指标
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
追踪目标和失败的LLM智能体，跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
开源LLM和视频模型的OpenAI兼容API
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
用自己的语言重新解释学习材料，通过自适应问题揭示真实理解。
@indrajit_tweets · X
Most AI learning tools explain concepts for you through summaries, notes, quizzes, and flashcards. But recognising an answer is not the same as understanding it. That’s why I built ReExplain ( for the @OpenAI Build Week Hackathon. ReExplain flips the roles - the AI becomes the curious learner, and you become the teacher. You explain the material in your own words, while the AI listens, identifies gaps, and asks follow-up questions that challenge you to think deeper. Powered by GPT-5.6 Luna and built with Codex, ReExplain is now live on Product Hunt! If the idea resonates with you, I’d really appreciate your upvote and support 😄 🔗 Product Hunt Launch Link: Watch the demo, try it, and share your feedback! #ProductHunt #OpenAI #BuildWeek #AI #EdTech #Hackathon
为LLM输出提供token级引文API，通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
在安全的团队工作区中比较和使用多个LLM模型（Claude、OpenAI、Gemini等），用您自己的API密钥。
@uncoolavatar · X
对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
为任何主题生成动画视觉解释来学习。
u/Top-Relationship8196 · Reddit
AI teacher that explains anything visually. Hi, I built this free tool called bestie. It's basically an AI teacher that explains anythingany topic visually. Instead of watching a 3hr Youtube to learn something specific or struggle through the text Chatgpt gives you, you can use this for free to learn anything fast. you can find it at bestie.chrestic.com you just have to type the topic and your visuals will arrive in less than a minute. Don't forget to try and leave Y