RomneyDa

Continue codebase deep dive

• Intro
• Dive

Intro

This is a deep dive into the Continue code base, folder by folder and file by file where relevant.

exonomyapp

Coolify Orchestrated DB Cluster

In this project, our goal is to establish a robust and scalable infrastructure for a PostgreSQL database with high availability, seamless security, and integrated monitoring and alerting systems.

Introduction

We'll leverage tools like Patroni, Consul, Vault, Prometheus, Grafana, and Cert-Manager to ensure a comprehensive, modern solution. Coolify will act as our orchestration platform, managing various services and simplifying deployments. We aim to not only build a highly available database cluster but also provide a learning experience for interns that demonstrates best practices in DevOps, security, and observability.

The backbone of our infrastructure will focus on a distributed, high-availability PostgreSQL cluster. To ensure reliability, we’ll introduce Patroni for automating failover, Consul for service coordination, and Vault for managing sensitive information. Monitoring will be handled by Prometheus and visualized u

AndBondStyle

import asyncio
import os
from contextlib import asynccontextmanager

import sqlalchemy as sa
from dependency_injector import providers
from dependency_injector.containers import DeclarativeContainer
from dependency_injector.wiring import Provide, inject
from fastapi import Depends, FastAPI
from sqlalchemy.ext.asyncio import (

usrbinkat

UPDATE: This is tested and working on both Linux and Windows 11 used for LlaMa & DeepSeek

Here's a sample README.md file written by Llama3.2 using this docker-compose.yaml file that explains the purpose and usage of the Docker Compose configuration:

ollama-portal

A multi-container Docker application for serving OLLAMA API.

yanyaoer

#!/usr/bin/env xcrun -sdk macosx swift

// import Foundation
import SwiftUI
import AppKit

/**
Minimal UI for ollama

## Dev:

vroomfondel

import httpx
import json

from httpx import ByteStream
from openai import OpenAI

import instructor
from pydantic import BaseModel

from loguru import logger

luisdelatorre012

import motor.motor_asyncio
import asyncio
from typing import List, Dict, Any
import logging
from urllib.parse import quote_plus
from contextlib import asynccontextmanager

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

ddahan

# Requires Python 3.12+, IPython, rich

import datetime
import hashlib
import importlib
import inspect
import json
import logging
import os
import pkgutil

TimelessP

-- chat.lua - Neovim chat script using Lua.

local uv = vim.loop
local server = nil
local clients = {}
local client_socket = nil
local server_started = false
local chat_buffer = nil  -- Buffer variable to store the chat buffer
local reconnect_attempts = 0
local max_reconnect_attempts = 5

tcsenpai

gists
id url createdAt updatedAt filename isPublic c52797c05d5221f06f42774d77386ca2 https://gist.github.com/tcsenpai/c52797c05d5221f06f42774d77386ca2 2024-09-05T17:05:05Z 2024-09-07T16:45:00Z Local LLM Jailbreaks.md true

#runtime #compatibility #ai #instructions #personality #gist #jailbreak #llm