
Puter Developer - The Backend for AI-Generated Apps
一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
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一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

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]

GoldBean 是按使用付费的 API 市场,提供 47 个端点用于 OCR、翻译、图像生成和对话式 AI。
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402

通过 SDK、CLI、MCP 等方式将 1000+ SaaS 应用连接到 AI 代理。
oomol-lab · GitHub
open-connector Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.

通过统一 API 层将网站与多个 AI 系统集成。
@rofarkas · X

使用硬件认证和OTP保护GitHub拉取请求。
jallmann · HN
> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com

使用 MonoCloud 为应用添加认证,支持通行密钥、SSO 和多因素验证。
roguetink · Product Hunt
MonoCloud for Startups One identity layer for your customers, APIs, and agents

统一一个API接入200+个AI模型,包含Claude、GPT等,支持自动故障转移。
@MixRoute_ai · X

用一个 API 访问 500+ Hugging Face 开源模型,免费注册无需信用卡。
@pengsonal · X
500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead

在本地处理数据来屏蔽个人信息,降低发送到Claude、ChatGPT等API的token成本。
@AI_303030 · X

统一API网关,审计Token消耗并分析多个AI提供商的成本。
@amiuchat · X
我做了一个桌面工具:Token Switch。 给 Codex / Claude Code / OpenCode 重度用户统一管理 Provider、模型、Token、Base URL、连通测试和消耗统计。 多个 Agent,一个 Token 工作台。欢迎试用,也欢迎吐槽你最烦的配置问题。

一个 OpenAI 兼容密钥访问多个 AI 模型(DeepSeek、Qwen、Claude 等),支持故障转移。
u/stelkey_com · Reddit
I built an OpenAI-compatible API gateway because switching models kept breaking my integrations I’m the maker of Stelkey. I kept hitting the same annoying problem: a tool works with one provider, then a model change means touching endpoints, auth, request formats, usage tracking, and the rest of the plumbing. So I built Stelkey as one OpenAI-compatible surface for the models and clients I already use. The goal is deliberately boring: point an existing OpenAI-compatible client or SDK at on