
SuperCompress - Cut Your LLM Token Costs by 65%
开源提示词压缩,在API调用前压缩输入以降低LLM成本。
@asgujjuasitgets · X
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开源提示词压缩,在API调用前压缩输入以降低LLM成本。
@asgujjuasitgets · X

自动将提示词路由到最便宜的模型,节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

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

通过实时压缩提示词和检测重复工具调用,将AI代理的Token成本降低40-70%。
@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

Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

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]

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

查看 LLM 成本数据,按模型和环境分类,获取优化建议。
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

输入预算和使用需求,找到最适合你的 AI 订阅组合。
@JCheng557 · X
COMBO-001 上线了。 这是一个 AI 订阅最优搭配器。 只需要 - 月预算 - 使用强度(限额触发频率) - 主要使用场景 - 需要哪些特殊能力(生图、视频、音频、OCR 等) 我就会给你最优的订阅组合(Claude、Grok、Cursor、GLM 等),并控制在预算范围内。 不再为新模型纠结,也不再为用不上的订阅买单。 试试看 → #100个网站 #AI工具 #AI订阅

对比700+ Azure虚拟机在各地区的实时定价。
@honitec · X
做了一个每天自动刷新的模型定价 API 替代 LiteLLM,每天拉最新的推理定价 为什么需要「每天」? 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M,半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差,就是泡沫

ServiceInvoice 帮助手工业和贸易企业管理客户、记录工作并发送品牌发票。
@serviceinvoices · X