开发者工具3 days ago
ModelGate — cost control for LLM APIs
An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
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An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
追踪您的应用中使用的 AI 模型，并在其被弃用前获得警告。
taylorgt · HN
Find every AI model your code calls and warn before it's retired
本地路由LLM提示、减少云API成本的SDK。
u/econobro · Reddit
Built a tool that skips the cloud LLM call when the prompt doesn't need one — would love feedback Live demo, no login, paste anything and see where it actually resolves and why: link What I built Offramp — a small client-side SDK that sits in front of whatever LLM API call your app already makes, and resolves some prompts entirely on-device instead of sending them to Claude/GPT/whatever cloud model you're using. Yes, I used Claude (you'll be able to tell right away if yo
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
通过InferAll统一API访问207+个AI模型
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim
从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
用WebAssembly在浏览器运行和管理LLM模型
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager
利用OpenAI API进行AI驱动的代码审查和调试分析。
TOPDEV99999 · GitHub
AI-codepilot An advanced AI-driven code analysis tool built with Next.js, leveraging OpenAI's API to review and debug code efficiently.
Ornymo通过语义缓存减少LLM查询成本和延迟。
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]
对比LLM API价格，轻松计算月度使用成本。
u/ahmedk2002 · Reddit
I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I
