开发者工具4 weeks ago
Axon — the quality & FinOps layer for your AI agents
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
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用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
对比450+个LLM API定价方案，计算实际月度成本，支持缓存和批处理定价。
u/Greywolff06 · Reddit
I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com
将LLM调用路由到成本最低的合适模型，保持质量。
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost
FlexInference: 通过多个提供商路由LLM API请求，降低成本和延迟。
Aperswal · HN
Made a Free LLM Router
Indream是AI滤镜和生成器，可转换照片、生成视频、音乐和3D内容。
AI Filter — 用 AI 滤镜将你的照片变换为动漫、粘土、3D、像素、表情符号、视频游戏、贴纸等多种滤镜风格
Scale AI search visibility across client portfolios and internal teams with automated content generation, Brand DNA indexing, and LLM tracking across ChatGPT, Perplexity & Gemini.
u/Physical_Champion234 · Reddit
Built an AEO SaaS, would love brutally honest feedback please Hey everyone, I’ve been building Cyted , a SaaS that helps businesses track how often their brand appears in answers from AI tools like ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot. It’s more than just tracking mentions. Cyted can scan a company’s entire website, identify SEO and AI visibility issues, explain what may be wrong, and suggest ways to fix them. It also helps create blog posts based on those recommenda
一站式AI创作平台，生成视频、图像、音乐和3D内容。
KKV AI — KKV 是一站式 AI 创作平台，提供视频生成、图像创作、照片编辑、趣味滤镜、AI 聊天助手等功能，无障碍访问 Veo 3、Flux、Claude Opus 4 等 100+ 顶级模型
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · 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
在浏览器中测试小型语言模型（8M-13M 参数），离线可用。
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.
计算LLM微调和推理所需的GPU显存。
@FaiqAdzlan · X
Built a GPU VRAM calculator to try out Claude Code (#cursorfanboy). I wanted it as granular as possible so I based it off of LLMem) which really just covers fine-tuning tbh. Please tear it to shreds: GitHub:
语义缓存减少LLM令牌成本和AI查询延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]