ahappyforest

#!/bin/sh /etc/rc.common

START=95

start() {

# shadowsocks rules
iptables -t nat -N SHADOWSOCKS

# START

cyrusboadway

#!/bin/bash

### Google Domains provides an API to update a DNS "Syntheitc record". This script
### updates a record with the script-runner's public IP, as resolved using a DNS
### lookup.
###
### Google Dynamic DNS: https://support.google.com/domains/answer/6147083
### Synthetic Records: https://support.google.com/domains/answer/6069273

USERNAME=""

jerrylau91

12306数据接口API(草稿)

简化12306接口，规范属性名称，用于数据库设计，数据接口定义

数据定义

命名规则

fire1ce

Install oh-my-zsh on OpenWrt

Install Requirements Packages

opkg update && opkg install ca-certificates zsh curl git-http

Install oh-my-zsh

leowinterde

# Holds repositories directory
sudo chown -R -v git:root /var/opt/gitlab/git-data
sudo chmod -R -v 0700 /var/opt/gitlab/git-data
 
# Holds git repositories
sudo chown -R -v git:git /var/opt/gitlab/git-data/repositories
sudo chmod -R -v 2770 /var/opt/gitlab/git-data/repositories
 
# Holds large object directories
sudo chown -R -v git:gitlab-www /var/opt/gitlab/gitlab-rails/shared

ihipop

This Version Allow run as nobody AND ports below 1024

/etc/systemd/system/frps.service

Systems that has AmbientCapabilities support (usually kernel >= linux4.3)

[Unit]
Description=FRP Server Daemon

alexsplashex

#!/bin/bash
# Jenkins Configuraitons Directory
cd $JENKINS_HOME

# Add general configurations, job configurations, and user content
git add -- *.xml jobs/*/*.xml userContent/* ansible/*

# only add user configurations if they exist
if [ -d users ]; then
    user_configs=`ls users/*/config.xml`

unixzii

Introduction

Apple restricted the access to Xcode LLM (Predictive code completion) feature on China models of Mac. This guide provides a way to bypass that restriction. It's verified on macOS 15.0 Beta (24A5264n), but there is no guarentee that it will always work on later macOS versions.

Prerequisites

• Xcode is installed and run at least once.
• SIP debugging restrictions are disabled (via csrutil enable --without debug command in recovery mode).

Disclaimer

mkbctrl

Intent Recognition and Auto‑Routing in Multi-Agent Systems

Modern conversational AI systems often split functionality into multiple tools or sub-agents, each specialized for a task (e.g. search, booking, math, etc.). When a user sends a query, the system must interpret intent and dispatch it to the right tool/agent. There are two broad approaches: letting a general-purpose LLM handle intent detection itself, or using a dedicated router component. In practice, many practitioners use a hybrid: an initial “router” classifies the intent and then a specialized agent or tool handles the task. Below we survey best practices and examples of each approach, referencing frameworks like LangChain and Semantic Router.

LLM-Based Intent Recognition (General-Agent Approach)

A common approach is to have the LLM itself decide which tool or chain to invoke. For example, one can prompt the model to output a JSON field indicating the desired “tool” or “function” (using OpenAI’s function-calling or ChatGPT Pl