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AI 资讯 Dev.to

How to Access DeepSeek API from Outside China (2026 Guide)

How to Access DeepSeek API from Outside China (2026 Guide) DeepSeek has quietly become one of the best open-weight LLM families available. Their V4-Pro model matches GPT-4o within 3-5% on coding benchmarks (HumanEval, MBPP) while costing roughly 90% less per token. The problem? Actually getting access as an overseas developer. The Registration Wall If you try to sign up for DeepSeek's official API directly, you'll hit this: ✕ +86 phone number required for SMS verification ✕ Alipay or WeChat Pay only — no Stripe, no PayPal ✕ Documentation is primarily in Chinese ✕ VPN required and it drops mid-request ✕ Different auth system than OpenAI This isn't a minor inconvenience — it's a hard blocker for most overseas developers. I spent a full weekend trying to work around it before finding a solution that actually worked for production use. Option 1: DIY Proxy (Not Recommended) You could technically set up a Chinese VPS as a relay, register through a Chinese friend's number, and proxy requests. I tried this approach. Problems: Your Chinese VPS adds 100-300ms latency You're responsible for keeping the integration working If your Chinese friend's number gets flagged, you're locked out No SLA, no support, no monitoring Payment still requires Alipay — you need a Chinese bank account or a friend After a weekend of futzing with this, I abandoned it. Not production-ready. Option 2: Third-Party Gateway (What I Use) There are now services that handle the China-side complexity and expose DeepSeek through a standard OpenAI-compatible API. They handle: Chinese phone number verification Alipay/WeChat payment (you pay via Stripe instead) API routing with global edge caching Load balancing across multiple Chinese providers Setup is literally two lines: # Before: Direct OpenAI client = OpenAI ( base_url = " https://api.openai.com/v1 " , api_key = OPENAI_KEY ) # After: Via gateway client = OpenAI ( base_url = " https://api.tokenmaster.com/v1 " , api_key = TM_KEY ) That's it. Same SDK, same i

Zhouxia Qian 2026-06-24 17:32 10 原文
AI 资讯 Dev.to

How to Test AI Agents for Production Failures Before Your Users Do

An AI agent that's flawless in the demo can still fall apart the first time a tool fails in production: a timeout, a network error, a response that comes back corrupted. The fix isn't a smarter model. It's testing the agent against those failures on purpose, before your users do, and hardening it one failure type at a time.

Elizabeth Fuentes L 2026-06-24 17:17 5 原文
AI 资讯 Product Hunt

Heron

Wireshark for AI Agents: passive eBPF observability Discussion | Link

Vincent Wu 2026-06-24 17:01 3 原文
AI 资讯 MIT Technology Review

All challenges big and small

When I was 18, I skipped my high school graduation and headed to Kuwait. It was 1991, the first Gulf War had just ended, and the country was in complete chaos. There was little to no electricity, aside from generator power. Rubble and unexploded ordnance were everywhere. Massive oil fires lit up the desert and…

Mat Honan 2026-06-24 17:00 8 原文
开发者 InfoQ

Article: Beyond CLEAN and MVP: Architecting an Offline-first Reactive Data Layer in Android

With the Reactive Data Layer Architecture (RDLA), you establish a clear boundary between public data APIs and private, framework-specific data-source implementations. Your presentation layer operates in a purely reactive manner, observing data changes rather than procedurally querying them. RDLA also simplifies testing by encouraging you to program to interfaces and use clean seeding patterns. By Mervyn Anthony

Mervyn Anthony 2026-06-24 17:00 14 原文