
SuperCompress - Cut Your LLM Token Costs by 65%
压缩提示词以减少向LLM API发送的token数量和成本。
@asgujjuasitgets · X
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压缩提示词以减少向LLM API发送的token数量和成本。
@asgujjuasitgets · X

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

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

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]

减少提示中的不必要标记,降低Claude、ChatGPT等LLM的API成本。
u/HourRevolutionary666 · Reddit
Solo founder, first SaaS. Honestly not sure how to get from “it works” to “people use it” Okay so here’s where I actually am right now, not the polished version. Spent months building this on my own. It’s an AI/SaaS tool called Token Optimiser that trims unnecessary tokens out of prompts before they hit the model, so you pay less per call without losing what the prompt actually needs. It’s live at https://www.tokenoptimiser.com , I ran it through a proper benchmark to make sure the numbers

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

LLM API支出分析仪表板,按模型和环境分类,含优化建议
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

Token Gobbler:扮演AI角色在街机游戏中吃令牌、躲避注入攻击和速率限制。
dschwede · HN
Token Gobbler – the goofy game where you're the LLM

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. 😌

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