Add workspace utility scripts
- llm: Local LLM wrapper for llama-swap - homelab-status: Quick K8s/cluster health check - calc: Python/JS REPL for quick calculations - transcribe: Whisper audio transcription wrapper Added to fish PATH.
This commit is contained in:
William Valentin
76
scripts/calc
Executable file
76
scripts/calc
Executable file
@@ -0,0 +1,76 @@
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#!/usr/bin/env bash
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# Quick code execution for calculations and data processing
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# Usage: calc "expression"
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# calc -p "python code"
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# calc -j "javascript code"
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set -e
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MODE="python"
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CODE=""
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show_help() {
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echo "Usage: calc [options] \"code\""
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echo ""
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echo "Options:"
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echo " -p, --python Python mode (default)"
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echo " -j, --js JavaScript mode (Node.js)"
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echo " -h, --help Show this help"
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echo ""
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echo "Examples:"
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echo " calc \"2 + 2\" # Quick math"
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echo " calc \"sum([1,2,3,4,5])\" # Python functions"
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echo " calc -p \"import math; math.pi\" # Python with imports"
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echo " calc -j \"[1,2,3].map(x => x*2)\" # JavaScript"
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echo ""
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echo "Python mode has these pre-imported:"
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echo " math, json, re, datetime, random, statistics"
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}
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while [[ $# -gt 0 ]]; do
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case $1 in
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-p|--python)
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MODE="python"
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shift
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;;
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-j|--js)
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MODE="js"
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shift
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;;
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-h|--help)
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show_help
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exit 0
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;;
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*)
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if [[ -z "$CODE" ]]; then
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CODE="$1"
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else
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CODE="$CODE $1"
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fi
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shift
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;;
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esac
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done
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if [[ -z "$CODE" ]]; then
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show_help
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exit 1
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fi
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case $MODE in
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python)
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python3 -c "
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import math, json, re, sys
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from datetime import datetime, date, timedelta
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from random import random, randint, choice
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from statistics import mean, median
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from collections import Counter, defaultdict
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result = $CODE
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if result is not None: print(result)
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"
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;;
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js)
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node -e "console.log($CODE)"
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;;
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esac
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135
scripts/homelab-status
Executable file
135
scripts/homelab-status
Executable file
@@ -0,0 +1,135 @@
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#!/usr/bin/env bash
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# Quick homelab status check
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# Usage: homelab-status [--full]
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set -e
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FULL=false
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[[ "$1" == "--full" || "$1" == "-f" ]] && FULL=true
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# Colors
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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BLUE='\033[0;34m'
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NC='\033[0m' # No Color
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ok() { echo -e "${GREEN}✓${NC} $1"; }
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warn() { echo -e "${YELLOW}⚠${NC} $1"; }
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fail() { echo -e "${RED}✗${NC} $1"; }
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info() { echo -e "${BLUE}ℹ${NC} $1"; }
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echo "═══════════════════════════════════════"
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echo " 🏠 HOMELAB STATUS"
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echo "═══════════════════════════════════════"
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echo ""
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# K8s Cluster
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echo "☸️ KUBERNETES"
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echo "───────────────────────────────────────"
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if ! kubectl cluster-info &>/dev/null; then
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fail "Cluster unreachable"
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else
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# Nodes
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NODES_TOTAL=$(kubectl get nodes --no-headers 2>/dev/null | wc -l)
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NODES_READY=$(kubectl get nodes --no-headers 2>/dev/null | grep -c " Ready" || echo 0)
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if [[ "$NODES_READY" == "$NODES_TOTAL" ]]; then
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ok "Nodes: $NODES_READY/$NODES_TOTAL Ready"
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else
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warn "Nodes: $NODES_READY/$NODES_TOTAL Ready"
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fi
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# Pods
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PODS_RUNNING=$(kubectl get pods -A --no-headers 2>/dev/null | grep -c "Running" || echo 0)
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PODS_NOT_RUNNING=$(kubectl get pods -A --no-headers 2>/dev/null | grep -cvE "Running|Completed" || echo 0)
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if [[ "$PODS_NOT_RUNNING" == "0" ]]; then
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ok "Pods: $PODS_RUNNING Running"
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else
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warn "Pods: $PODS_RUNNING Running, $PODS_NOT_RUNNING not ready"
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fi
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# Show failed pods if any
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if [[ "$PODS_FAILED" != "0" ]] || $FULL; then
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kubectl get pods -A --no-headers 2>/dev/null | grep -E "(Error|CrashLoop|Failed|Pending)" | head -5 | while read -r line; do
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echo " $line"
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done
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fi
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fi
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echo ""
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# Alertmanager
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echo "🚨 ALERTS"
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echo "───────────────────────────────────────"
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ALERTMANAGER_URL="http://alertmanager.monitoring.192.168.153.240.nip.io"
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ALERTS=$(curl -sf "$ALERTMANAGER_URL/api/v2/alerts?active=true&silenced=false" 2>/dev/null || echo "[]")
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ALERT_COUNT=$(echo "$ALERTS" | jq 'length' 2>/dev/null || echo "?")
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if [[ "$ALERT_COUNT" == "0" ]]; then
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ok "No active alerts"
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elif [[ "$ALERT_COUNT" == "?" ]]; then
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warn "Alertmanager unreachable"
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else
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warn "$ALERT_COUNT active alert(s)"
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echo "$ALERTS" | jq -r '.[].labels.alertname' 2>/dev/null | head -5 | while read -r alert; do
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echo " - $alert"
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done
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fi
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echo ""
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# Key Services
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echo "🔌 SERVICES"
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echo "───────────────────────────────────────"
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check_service() {
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local name="$1"
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local url="$2"
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if curl -sf --max-time 3 "$url" >/dev/null 2>&1; then
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ok "$name"
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else
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fail "$name"
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fi
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}
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check_service "Grafana" "http://grafana.monitoring.192.168.153.240.nip.io/api/health"
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check_service "ArgoCD" "https://argocd.taildb3494.ts.net" 2>/dev/null || check_service "ArgoCD" "http://argocd-server.argocd.svc:80" 2>/dev/null || warn "ArgoCD (via Tailscale only)"
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check_service "Longhorn" "http://ui.longhorn-system.192.168.153.240.nip.io"
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# Ollama (homelab)
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if curl -sf --max-time 3 "http://100.85.116.57:11434/api/tags" >/dev/null 2>&1; then
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ok "Ollama (homelab)"
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else
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warn "Ollama (homelab) - unreachable"
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fi
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echo ""
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# Local LLM
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echo "🤖 LOCAL LLM"
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echo "───────────────────────────────────────"
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if curl -sf "http://127.0.0.1:8080/health" >/dev/null 2>&1; then
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ok "llama-swap running"
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MODELS=$(curl -s "http://127.0.0.1:8080/v1/models" | jq -r '.data[].id' 2>/dev/null | tr '\n' ', ' | sed 's/,$//')
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info "Models: $MODELS"
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else
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warn "llama-swap not running"
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info "Start: systemctl --user start llama-swap"
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fi
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echo ""
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# Storage (if full)
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if $FULL; then
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echo "💾 STORAGE"
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echo "───────────────────────────────────────"
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kubectl get pvc -A --no-headers 2>/dev/null | head -10 | while read -r ns name status vol cap mode class age; do
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if [[ "$status" == "Bound" ]]; then
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ok "$ns/$name ($cap)"
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else
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warn "$ns/$name - $status"
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fi
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done
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echo ""
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fi
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echo "═══════════════════════════════════════"
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echo " $(date '+%Y-%m-%d %H:%M:%S %Z')"
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echo "═══════════════════════════════════════"
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99
scripts/llm
Executable file
99
scripts/llm
Executable file
@@ -0,0 +1,99 @@
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#!/usr/bin/env bash
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# Local LLM wrapper for llama-swap
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# Usage: llm [model] "prompt"
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# llm -m model "prompt"
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# echo "prompt" | llm [model]
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set -e
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ENDPOINT="${LLAMA_SWAP_URL:-http://127.0.0.1:8080}"
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DEFAULT_MODEL="${LLAMA_SWAP_MODEL:-gemma}"
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MAX_TOKENS="${LLAMA_SWAP_MAX_TOKENS:-2048}"
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# Parse args
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MODEL="$DEFAULT_MODEL"
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PROMPT=""
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while [[ $# -gt 0 ]]; do
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case $1 in
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-m|--model)
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MODEL="$2"
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shift 2
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;;
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-t|--tokens)
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MAX_TOKENS="$2"
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shift 2
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;;
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-h|--help)
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echo "Usage: llm [-m model] [-t max_tokens] \"prompt\""
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echo ""
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echo "Models: gemma, qwen3, coder, glm, reasoning, gpt-oss"
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echo ""
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echo "Examples:"
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echo " llm \"What is 2+2?\""
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echo " llm -m coder \"Write a Python hello world\""
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echo " echo \"Explain this\" | llm qwen3"
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echo ""
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echo "Environment:"
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echo " LLAMA_SWAP_URL Endpoint (default: http://127.0.0.1:8080)"
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echo " LLAMA_SWAP_MODEL Default model (default: gemma)"
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echo " LLAMA_SWAP_MAX_TOKENS Max tokens (default: 2048)"
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exit 0
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;;
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-*)
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echo "Unknown option: $1" >&2
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exit 1
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;;
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*)
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if [[ -z "$PROMPT" ]]; then
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# Check if it's a model name
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if [[ "$1" =~ ^(gemma|qwen3|coder|glm|reasoning|gpt-oss)$ ]]; then
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MODEL="$1"
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else
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PROMPT="$1"
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fi
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else
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PROMPT="$PROMPT $1"
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fi
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shift
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;;
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esac
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done
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# Read from stdin if no prompt
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if [[ -z "$PROMPT" ]]; then
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if [[ ! -t 0 ]]; then
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PROMPT=$(cat)
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else
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echo "Error: No prompt provided" >&2
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exit 1
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fi
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fi
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# Check if llama-swap is running
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if ! curl -sf "$ENDPOINT/health" >/dev/null 2>&1; then
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echo "Error: llama-swap not running at $ENDPOINT" >&2
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echo "Start with: systemctl --user start llama-swap" >&2
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exit 1
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fi
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# Build JSON payload
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JSON=$(jq -n \
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--arg model "$MODEL" \
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--arg prompt "$PROMPT" \
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--argjson max_tokens "$MAX_TOKENS" \
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'{model: $model, messages: [{role: "user", content: $prompt}], max_tokens: $max_tokens}')
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# Make request and extract response
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RESPONSE=$(curl -s "$ENDPOINT/v1/chat/completions" \
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-H "Content-Type: application/json" \
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-d "$JSON")
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# Check for error
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if echo "$RESPONSE" | jq -e '.error' >/dev/null 2>&1; then
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echo "Error: $(echo "$RESPONSE" | jq -r '.error.message')" >&2
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exit 1
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fi
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# Extract content
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echo "$RESPONSE" | jq -r '.choices[0].message.content'
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94
scripts/transcribe
Executable file
94
scripts/transcribe
Executable file
@@ -0,0 +1,94 @@
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#!/usr/bin/env bash
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# Transcribe audio files using Whisper
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# Usage: transcribe <audio_file> [options]
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# transcribe recording.mp3
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# transcribe -m medium meeting.wav
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set -e
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MODEL="${WHISPER_MODEL:-base}"
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LANGUAGE=""
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OUTPUT_FORMAT="txt"
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AUDIO_FILE=""
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show_help() {
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echo "Usage: transcribe [options] <audio_file>"
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echo ""
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echo "Options:"
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echo " -m, --model MODEL Whisper model (tiny, base, small, medium, large)"
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echo " Default: base (fast), use medium/large for accuracy"
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echo " -l, --language LANG Force language (e.g., en, es, fr)"
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echo " -f, --format FORMAT Output format (txt, json, srt, vtt)"
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echo " -h, --help Show this help"
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echo ""
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echo "Examples:"
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echo " transcribe meeting.mp3 # Quick transcription"
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echo " transcribe -m medium interview.wav # Better accuracy"
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echo " transcribe -l en -f srt podcast.mp3 # English subtitles"
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echo ""
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echo "Models (speed vs accuracy):"
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echo " tiny - Fastest, lowest accuracy (~1GB VRAM)"
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echo " base - Fast, good accuracy (~1GB VRAM) [default]"
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echo " small - Balanced (~2GB VRAM)"
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echo " medium - Better accuracy (~5GB VRAM)"
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echo " large - Best accuracy (~10GB VRAM)"
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echo ""
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echo "Environment:"
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echo " WHISPER_MODEL Default model (default: base)"
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}
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while [[ $# -gt 0 ]]; do
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case $1 in
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-m|--model)
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MODEL="$2"
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shift 2
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;;
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-l|--language)
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LANGUAGE="$2"
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shift 2
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;;
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-f|--format)
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OUTPUT_FORMAT="$2"
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shift 2
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;;
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-h|--help)
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show_help
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exit 0
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;;
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-*)
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echo "Unknown option: $1" >&2
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exit 1
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;;
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*)
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AUDIO_FILE="$1"
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shift
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;;
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esac
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done
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if [[ -z "$AUDIO_FILE" ]]; then
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echo "Error: No audio file provided" >&2
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show_help
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exit 1
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fi
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if [[ ! -f "$AUDIO_FILE" ]]; then
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echo "Error: File not found: $AUDIO_FILE" >&2
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exit 1
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fi
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# Build whisper command
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CMD="whisper \"$AUDIO_FILE\" --model $MODEL --output_format $OUTPUT_FORMAT"
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if [[ -n "$LANGUAGE" ]]; then
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CMD="$CMD --language $LANGUAGE"
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fi
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# Run transcription
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echo "Transcribing: $AUDIO_FILE (model: $MODEL)" >&2
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eval $CMD
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# Show output location
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BASE=$(basename "$AUDIO_FILE" | sed 's/\.[^.]*$//')
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echo "" >&2
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echo "Output: ${BASE}.${OUTPUT_FORMAT}" >&2
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Reference in New Issue
Block a user