开发者工具2 weeks ago
Solheim — your own EU-hosted LLM instance, no reset timer
在欧盟托管私有 LLM 实例，固定月费无使用限制。
CodingPanda42 · HN
Virtual Private LLM, fixed fee with no usage or token limits
完整作品展
技术栈
60 projects
在欧盟托管私有 LLM 实例，固定月费无使用限制。
CodingPanda42 · HN
Virtual Private LLM, fixed fee with no usage or token limits
通过透明代理监控 Anthropic 和 OpenAI API 的每次请求 token 用量、成本和会话树。
u/Prestige_pvp · Reddit
Simple AI Token Profiler / Debugger We made a simple profiler to help optimize AI token spend. Generally speaking anytime you want to optimize your app, whether it's for memory or otherwise you typically start with a profiler. There are a ton of MiTM Gateways but there aren't many true profilers, so I thought I'd make one. https://profiler.getrekon.com/ Let me know what you think :) submitted by /u/Prestige_pvp to r/SideProject [link] [comments]
单个 API 密钥统一访问 Claude、GPT 和 GLM，每日享有免费额度。
@Awais_209 · X
Claude Opus 4.8, GPT-5.5 & GLM-5.2 for free. Get $25/day in credits. No trial or waitlist. One API key works with Claude Code, Cline, Cursor, Roo & OpenAI-compatible tools. Try it: #FreeTier #ClaudeAPI #CodingTools @AgentRouter_0
根据AI代币获取应用开发成本估计和可视化构建计划。
u/Ejboustany · Reddit
Knowing your build cost from a tokens formula The bigger the feature you are building, the more tokens you spend and how you can calculate the total cost of your build. You will also spend even more tokens making that feature proper and production ready. Say you want users to sign up, log in, verify their email and reset a forgotten password. Built properly it runs around 400,000 tokens. The formula I thought of is: tokens x $1,500 / 1,000,000 = price So those 400,000 tokens come ou
监控竞争对手定价页面，每周发送价格变动、新套餐和功能转移的邮件。
@sheikhbuilds · X
Zero formal engineering background. Six months ago I couldn't write a line of code. Today is live, built with Claude Code while working full time as a PM at Uber. 🛠️ AI didn't replace the learning, it removed my excuse not to start. 🚀
为开发者提供比Claude更快、更便宜的AI API平台。
@WebWrightAI · X
通过B.AI统一API访问顶级AI模型，支持匿名跨境支付。
@xiaoheihei257 · X
📢 大消息！Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite 已经在 API 正式上线了！🚀 最近模型更新越来越频繁，这次 直接把两个新版本推出来，实际用起来感觉又进了一步。 先说 Gemini 3.6 Flash： 它是 3.5 Flash 的升级版，输出质量明显更好，但价格完全没变。最关键的是 token 消耗减少了大概 17%，遇到 DeepSWE 这种复杂代码生成任务，最多能省下 65% 的 token，成本直接降下来了，性价比很高。 再看 Gemini 3.5 Flash-Lite： 这是 3.5 系列里跑得最快、最省钱的那个，输出速度最高能达到 350 tokens/s。特别适合做高频任务，比如批量处理文档、Agent 实时搜索这些场景，用起来又快又稳，不会卡顿。 的模型生态现在越来越丰富了，两个新模型都支持官方 API 直接调用，开发者用着也方便。整体看下来，AI Agent 时代的底层支持又扎实了不少。 有在做 AI 项目或者日常调用大模型的朋友，不妨去试试新版本，体验应该会挺惊喜的～ @justinsuntron @BAI_AGI #TRONEcoStar
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
Hire a fully managed AI worker that is provisioned instantly. OpenClaw, its LLM subscription, email, phone number, website, domain, and hosting are included. No setup fee. Calgary.
@theHumanFlag · X
为 AI 代理调用设置预算限制并自动阻止成本过高请求
@orvi_onethread · X
I am looking for beta tester. 😌
通过现有 API 订阅同时运行多个 AI 模型。
@ContinuumCode · X
用你的数据微调定制语言模型，支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at