
Market Data, Economics & News API - Sugra
提供市场数据、经济数据、商品、气候和新闻的LLM就绪API服务。
@SugraSystems · X
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提供市场数据、经济数据、商品、气候和新闻的LLM就绪API服务。
@SugraSystems · X

Paste messy AI/LLM output and get clean, valid, beautifully formatted JSON — with a plain-language explanation of every fix. Optional JSON Schema validation. Runs entirely in your
@SNSTRR88 · X
Recast: a browser tool that cleans messy LLM JSON and lists every fix. Nothing uploaded.

Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X

压缩提示词以减少向LLM API发送的token数量和成本。
@asgujjuasitgets · 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

压缩LLM提示词和文档以降低token使用和API成本
@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 ⬇️

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

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

在安全的共享团队工作区中比较和使用多个LLM模型,使用自己的API密钥。
@uncoolavatar · X

估算LLM推理所需的显存、延迟、TTFT、TPOT与吞吐量。
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput

免费在浏览器中编辑和格式化JSON,支持验证和转换。
@bhushankuma491 · X

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