
Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
监控AI代理的LLM调用、API和基础设施性能。
kirankgollu · HN
Oodle.ai – $10 per million agent traces
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监控AI代理的LLM调用、API和基础设施性能。
kirankgollu · HN
Oodle.ai – $10 per million agent traces

用 AI 聊天和 100+ 工具在一处创建文本、图像、视频和音频。
Fullmira — 一站式 AI 创作平台,整合 GPT、Claude、Gemini 等多个模型,同一界面完成文本、图像、视频和音频生成,内置 100+ 专用工具覆盖写作、图像编辑与视频制作

通过 API 或 URL 替换将 X posts 转换为干净的 Markdown,供 LLMs 和 agents 使用
@larsbuilds · X

提供市场数据、经济数据、商品、气候和新闻的LLM就绪API服务。
@SugraSystems · X

使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

压缩提示词并检测重复工具调用,降低LLM代币成本
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache


通过统一接口比较和使用多个大型语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

