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@vectronodeai

Ye Allen

@vectronodeai·Hong Kong·Joined May 2026

OpenAI-compatible AI API gateway for global and Chinese LLMs.

About

Building VectorNode AI for developers who need one API key for GPT, Claude, Gemini, DeepSeek, Qwen, and other LLMs.

Available for

AI API integration, OpenAI SDK migration, multi-model LLM testing, and developer feedback.

Ye Allen's blogs

VectorNode AIvectronodeai.hashnode.dev51 posts

About

Building VectorNode AI for developers who need one API key for GPT, Claude, Gemini, DeepSeek, Qwen, and other LLMs.

Available for

AI API integration, OpenAI SDK migration, multi-model LLM testing, and developer feedback.

Ye Allen's blogs

VectorNode AIvectronodeai.hashnode.dev51 posts

Articles Comments

Recently published

YAYe Alleninvectronodeai.hashnode.dev·2d ago · 4 min read

Your AI Workflow Failed. Where Did It Go?

An AI workflow can fail after the API call succeeds. The model may return JSON that fails validation. A tool call may time out. A document may be unavailable. A fallback route may also fail. A batch j

YAYe Alleninvectronodeai.hashnode.dev·3d ago · 4 min read

A Model Router Is a Product Boundary, Not a Switch Statement

Most multi-model AI applications begin with a simple idea: if (task === "code") { return callModel("model-a"); } return callModel("model-b"); That is fine for a prototype. It becomes a problem when th

YAYe Alleninvectronodeai.hashnode.dev·4d ago · 5 min read

A Retry Can Be More Expensive Than an AI Failure

A failed AI request does not automatically need another AI request. That sounds obvious. In production, it is easy to forget. A timeout happens. The system retries. The provider is still slow. The sys

YAYe Alleninvectronodeai.hashnode.dev·5d ago · 4 min read

A Model Release Needs Three Environments

A new AI model should not go from a benchmark chart to production traffic in one step. It needs three environments. Development is where a team learns what a model can do. Staging is where a team lear

YAYe Alleninvectronodeai.hashnode.dev·6d ago · 5 min read

The First Token Is a Product Metric in Multi-Model AI Apps

A successful AI request can still feel slow. That sounds obvious, but many teams still evaluate AI performance with one number: total response time. For users, that is not enough. When someone sends a