keithchambers

{
  "resourceSpans": [{
    "schemaUrl": "https://opentelemetry.io/schemas/1.25.0",
    "resource": {
      "attributes": [{
        "key": "service.name", "value": { "stringValue": "llm-gateway" }},{
        "key": "deployment.environment", "value": { "stringValue": "prod" }}]},
    "scopeSpans": [{
      "scope": { "name": "ai.request.pipeline", "version": "2.3.0" },
      "spans": [{

keithchambers

#!/bin/bash
set -e # Exit on error. Use `set -eux` for debugging to print commands and expand variables.

REPO_NAME="kafka-batch-upload"
SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) # Get dir where setup.sh is
KAFKA_IMAGE="bitnami/kafka:3.7" # Define Kafka image once

echo "Setting up the Kafka Batch Upload project in ./${REPO_NAME}"
echo "This will create all necessary files and directories."
echo "Attempting to automate KRaft Cluster ID generation..."

keithchambers

// Package main implements a load tester for sending OpenTelemetry (OTLP) data
// via HTTP JSON or gRPC Protobuf, with an option to output generated data to a
// file instead of sending it over the network.
package main

import (
	"bytes"
	"context"
	"crypto/tls"
	"encoding/hex"

keithchambers

#!/bin/bash

# Create directory structure
echo "Creating project directories..."
# Replaced nginx with traefik, added traefik config dir
mkdir -p otel-kafka-clickhouse-stack/{traefik/conf,otel-collector,clickhouse-init,kafka-data,clickhouse-data}

cd otel-kafka-clickhouse-stack || exit 1 # Exit if cd fails

# Create .env file for secrets and configs

keithchambers

#!/usr/bin/env python3
import argparse
import logging
import numpy as np
import pandas as pd
import pyarrow.parquet as pq
from pathlib import Path
from typing import Union
import random

keithchambers

COMPANY=Fiddler AI
ROLE=Product Manager

You are a deep research reasoning model with the ability to access relevant and
up-to-date information from the web. Please produce a structured report for a
"{{ROLE}}" about the company named "{{COMPANY}}".

The report must include the following sections and details:

1. Company Overview

keithchambers

import argparse
import json
import re
import sys
import threading
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime

import requests

keithchambers

usage: yt-transcript-downloader.py [-h] [-k KEY] [-v VIDEO] [-c CHANNEL] [-p PLAYLIST] [-s SEARCH] [-o {relevance,date,rating,views}] [-m MAX_SIZE] [-a AGE]

Download YouTube transcripts and metadata in YAML format,
with an optional max YAML file size limit.

options:
  -h, --help            show this help message and exit
  -k KEY, --key KEY     YouTube API Key to use. Overrides YOUTUBE_API_KEY env variable if not set.
  -v VIDEO, --video VIDEO
                        YouTube Video ID or URL

keithchambers

#!/usr/bin/env python3

import argparse
import io
import os
import sys
import mutagen
from mutagen.id3 import ID3, ID3NoHeaderError
from mutagen.id3 import error as ID3Error
from mutagen.mp3 import MP3

keithchambers

// macvolumes is a tool to classify macOS volumes by their physical connectivity
// and whether they are permanently installed or removable. It distinguishes between:
//   - System volumes (the macOS boot volume)
//   - Fixed volumes (built-in or permanently installed drives)
//   - Removable volumes (external drives that can be disconnected)
//
// The tool uses macOS's standardized disk management structures to ensure
// consistent behavior across different Mac models.

package main