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1、debian、ubuntu更新并升级软件包

apt update && apt upgrade -y

2、docker compose重新部署

docker compose down && docker compose up -d

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

This is a practical architecture for adding a chat interface to a static site without operating a server. It uses a Cloudflare Worker to serve the static site and provide one API endpoint, OpenRouter for model access, Cloudflare Turnstile for abuse challenges, and a Durable Object for per-visitor rate limiting.

It is suitable for a personal site, portfolio, documentation site, or small public knowledge assistant. It is not an invitation to expose an uncapped model key to the internet.

• A static site build, such as Hugo, that produces public/.
• A Cloudflare account and a Worker project.

Base URL: https://app.ourskylight.com/api

Authentication: Bearer token in Authorization header — Authorization: Bearer <access_token>