KaWaIDeSuNe/dijiajichang

Description and use

**Brief Summary (2‑3 sentences)**
KaWaIDeSuNe’s *dijiajichang* is an open‑source repository that curates ultra‑cheap (≤ ¥10/month) VPN/proxy “airport” services, offering free trials, white‑label options, and ready‑made subscription links for popular clients such as Clash, V2Ray, Quantumult X, and sing‑box. The project also supplies AI‑enhanced recommendation and testing tools that help users discover and evaluate servers capable of unlocking services like YouTube, Netflix, TikTok, ChatGPT, and Bilibili in Hong Kong, Macau, and Taiwan.

**Value**

• **Cost‑effective access** – Provides a vetted list of low‑price or free proxy servers, saving users the time and expense of hunting for reliable “airports.”
• **AI‑driven selection** – Built‑in AI models rank servers by latency, stability, and geo‑unlock capability, making it easier to pick the best option for a given streaming platform.
• **Broad client support** – Generates configuration files for the most common proxy clients, allowing immediate plug‑and‑play deployment.

**Practical Adoption Path**

1. **Clone the repo** and run the provided Docker compose (or Python script) to spin up the recommendation engine.
2. **Inspect the generated server list** – verify latency and policy compliance for your region; the repo includes a simple UI for manual review.
3. **Export the desired configuration** (Clash YAML, V2Ray JSON, sing‑box TOML, etc.) and import it into your existing client stack.
4. **Optional integration** – use the exposed REST endpoints to embed the recommendation service into internal tooling or CI pipelines for automated testing of new servers.

**Production Readiness**

• **Maturity**: Medium. The project is actively maintained (last update 2026‑06‑24) and has a sizable community (≈ 1.7 k stars, 112 forks), indicating stability for prototyping and internal use.
• **Risks**: Integration details are sparse; the API surface and data pipelines are not fully documented, so a manual validation step is required before committing to production. Dependency management (Docker images, Python packages) should be audited, and the legal status of the listed proxy services must be verified for compliance.

Overall, *dijiajichang* is a solid foundation for quickly building low‑cost, AI‑augmented VPN solutions, but it should undergo a brief pilot and security review before being hardened for production environments.

Use in a workflow

KaWaIDeSuNe/dijiajichang helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.