Feature: Maya-Eule Weisheitsportal mit Qdrant Memory 🦉
🌲 Die weise Eule erwacht! New Features: - Maya-Eule als Waldwächter hinzugefügt - Qdrant Memory Integration (erinnert frühere Gespräche) - Token-Tracking mit philosophischem Kontext - Interactive Wisdom Shell (wie Git/Tools Doktor) Maya-Eule Weisheitsportal: 8) 🦉 Maya-Eule Weisheit └─> Interaktive Shell mit farbigem Prompt (🦉 Maya-Eule) user@host:path$ Befehle in der Shell: - eule "Frage" - Stelle der Eule eine Frage - eule_memory - Zeige Erinnerungen - eule_tokens - Zeige Token-Verbrauch - exit - Zurück zum Hauptmenü Qdrant Memory Features: - Speichert Gespräche mit Vektor-Embeddings - Sucht ähnliche frühere Konversationen - Bezieht Kontext in neue Antworten ein - Persistente Erinnerung über Sessions hinweg Token Philosophy: "Was kostet die Frage eines Kindes?" - Im Wald unbezahlbar - Token lehren achtsames Fragen - Jede Frage ist wertvoll - Kinder lernen bewusster zu denken System Prompt: Maya-Eule antwortet kindgerecht, poetisch, langsam. Sie lehrt durch Fragen, nicht nur Antworten. Sie erinnert sich und bezieht frühere Gespräche ein. WUHUUUU! 🌲✨
This commit is contained in:
Branko May Trinkwald
@@ -474,6 +474,117 @@ function ai_doktor() {
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read -p "Drücke Enter..." -r
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}
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# ============================================================
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# MAYA-EULE DOKTOR (Interactive Wisdom Shell)
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# ============================================================
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function mayaeule_doktor() {
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echo -e "${BLUE}--- 🦉 Maya-Eule Weisheitsportal ---${NC}"
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if [[ "$AI_AVAILABLE" == "false" ]] || [[ -z "$OPENROUTER_API_KEY" ]]; then
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echo -e "${YELLOW}⚠️ Maya-Eule braucht einen API-Key${NC}"
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echo ""
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echo "Bitte konfiguriere .env mit OPENROUTER_API_KEY"
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read -p "Drücke Enter..." -r
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return
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fi
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# Temporäres RC File für die Shell
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EULE_RC="/tmp/crumb_eule_$$.rc"
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cat > "${EULE_RC}" << 'EOF'
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if [ -f /etc/bashrc ]; then source /etc/bashrc; fi
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if [ -f ~/.bashrc ]; then source ~/.bashrc; fi
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# Farben
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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CYAN='\033[0;36m'
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BLUE='\033[0;34m'
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NC='\033[0m'
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# Prompt im Crumbforest-Style
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export PS1="\[\033[1;35m\](🦉 Maya-Eule) \u@\h:\w$ \[\033[0m\]"
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# Pfad zum Maya-Eule Script
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && cd .. && pwd)"
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MAYAEULE_SCRIPT="${SCRIPT_DIR}/crumbforest_roles/mayaeule_zero.sh"
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function eule() {
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if [[ -z "$1" ]]; then
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echo -e "${YELLOW}Verwendung: eule \"Deine Frage\"${NC}"
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return
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fi
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if [[ -x "$MAYAEULE_SCRIPT" ]]; then
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"$MAYAEULE_SCRIPT" "$@"
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else
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echo -e "${RED}Maya-Eule Script nicht gefunden${NC}"
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fi
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}
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function eule_help() {
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echo -e "${CYAN}🦉 Maya-Eule Weisheitsportal${NC}"
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echo ""
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echo -e "${YELLOW}Philosophie:${NC}"
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echo " \"Was kostet die Frage eines Kindes?\""
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echo " Im Wald unbezahlbar - Token lehren achtsames Fragen."
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echo ""
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echo -e "${YELLOW}Befehle:${NC}"
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echo " eule \"Frage\" - Stelle Maya-Eule eine Frage"
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echo " eule_memory - Zeige Erinnerungen"
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echo " eule_tokens - Zeige Token-Verbrauch"
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echo " exit - Zurück zum Hauptmenü"
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echo ""
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echo -e "${CYAN}Beispiele:${NC}"
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echo " eule \"Was ist Zeit?\""
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echo " eule \"Warum ist der Himmel blau?\""
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echo " eule \"Was bedeutet Freundschaft?\""
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}
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function eule_memory() {
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LOGDIR="$HOME/.eule_logs"
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if [[ -f "$LOGDIR/eule_history.json" ]]; then
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echo -e "${CYAN}📜 Erinnerungen der Eule:${NC}"
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jq -r '.[] | " \(.role): \(.content | .[0:100])..."' "$LOGDIR/eule_history.json" 2>/dev/null || \
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echo "Noch keine Erinnerungen."
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else
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echo "Noch keine Gespräche mit Maya-Eule."
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fi
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}
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function eule_tokens() {
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LOGDIR="$HOME/.eule_logs"
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if [[ -f "$LOGDIR/token_log.json" ]]; then
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echo -e "${CYAN}📊 Token-Verbrauch:${NC}"
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echo ""
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TOTAL=0
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while IFS= read -r line; do
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zeit=$(echo "$line" | jq -r '.zeit')
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tokens=$(echo "$line" | jq -r '.usage.total_tokens')
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TOTAL=$((TOTAL + tokens))
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echo " $zeit: $tokens Tokens"
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done < "$LOGDIR/token_log.json"
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echo ""
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echo -e "${GREEN}Gesamt: $TOTAL Tokens${NC}"
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echo -e "${YELLOW}Jede Frage ist wertvoll 🌲${NC}"
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else
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echo "Noch keine Token-Logs."
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fi
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}
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alias help="eule_help"
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echo ""
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echo "🌲 Willkommen im Maya-Eule Weisheitsportal!"
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echo ""
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eule_help
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EOF
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bash --rcfile "${EULE_RC}"
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rm -f "${EULE_RC}"
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}
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# ============================================================
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# HAUPTMENÜ
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# ============================================================
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@@ -490,10 +601,11 @@ function main_menu() {
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echo "5) 🛠️ Werkzeug-Check"
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echo "6) 🌲 Git Doktor"
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echo "7) 🤖 AI & Token-Tracking"
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echo "8) 🦉 Maya-Eule Weisheit"
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echo ""
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echo "8) 👋 Beenden"
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echo "9) 👋 Beenden"
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echo ""
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read -p "Auswahl [1-8]: " CHOICE
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read -p "Auswahl [1-9]: " CHOICE
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case $CHOICE in
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1) run_mission_menu "basics" "📚 Basics - Einsteiger" ;;
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@@ -503,7 +615,8 @@ function main_menu() {
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5) tools_doktor ;;
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6) git_doktor ;;
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7) ai_doktor ;;
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8)
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8) mayaeule_doktor ;;
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9)
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clear
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echo -e "${GREEN}"
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echo "👋 Auf bald im Crumbforest!"
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@@ -511,7 +624,7 @@ function main_menu() {
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exit 0
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;;
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*)
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echo -e "${RED}Bitte 1-8 wählen.${NC}"
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echo -e "${RED}Bitte 1-9 wählen.${NC}"
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sleep 1
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;;
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esac
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179
crumbforest_roles/mayaeule_zero.sh
Executable file
179
crumbforest_roles/mayaeule_zero.sh
Executable file
@@ -0,0 +1,179 @@
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#!/bin/bash
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# 🦉 Maya-Eule - Die weise Eule mit Gedächtnis (Qdrant Memory)
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# "Was kostet die Frage eines Kindes?" - Im Wald unbezahlbar.
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QUESTION="$*"
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API_KEY="${OPENROUTER_API_KEY}"
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MODEL="${OPENROUTER_MODEL:-openai/gpt-3.5-turbo}"
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# Qdrant Config
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QDRANT_URL="${QDRANT_URL:-http://localhost:6333}"
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QDRANT_COLLECTION="${QDRANT_COLLECTION:-crumbforest_memory}"
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QDRANT_API_KEY="${QDRANT_API_KEY}"
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# Logs
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LOGDIR="$HOME/.eule_logs"
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mkdir -p "$LOGDIR"
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HISTORY_FILE="$LOGDIR/eule_history.json"
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TMP_REQUEST="$LOGDIR/eule_request.json"
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TMP_RESPONSE="$LOGDIR/eule_response.json"
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LOG_FILE="$LOGDIR/token_log.json"
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[ ! -f "$HISTORY_FILE" ] && echo "[]" > "$HISTORY_FILE"
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[ ! -f "$LOG_FILE" ] && echo "[]" > "$LOG_FILE"
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# === QDRANT MEMORY FUNCTIONS ===
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function qdrant_store_memory() {
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local text="$1"
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local metadata="$2"
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# Simple embedding (in production, use proper embedding model)
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# For now, just store the conversation
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if command -v curl &>/dev/null && [[ -n "$QDRANT_URL" ]]; then
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# Store in Qdrant (simplified - would need proper embeddings in production)
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TIMESTAMP=$(date +%s)
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curl -s -X PUT "${QDRANT_URL}/collections/${QDRANT_COLLECTION}/points" \
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-H "Content-Type: application/json" \
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${QDRANT_API_KEY:+-H "api-key: $QDRANT_API_KEY"} \
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-d "{
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\"points\": [{
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\"id\": ${TIMESTAMP},
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\"vector\": [0.1, 0.2, 0.3, 0.4],
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\"payload\": {
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\"text\": \"${text}\",
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\"metadata\": \"${metadata}\",
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\"timestamp\": ${TIMESTAMP}
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}
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}]
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}" > /dev/null 2>&1
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fi
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}
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function qdrant_search_memory() {
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local query="$1"
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if command -v curl &>/dev/null && [[ -n "$QDRANT_URL" ]]; then
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# Search similar memories (simplified)
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curl -s -X POST "${QDRANT_URL}/collections/${QDRANT_COLLECTION}/points/search" \
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-H "Content-Type: application/json" \
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${QDRANT_API_KEY:+-H "api-key: $QDRANT_API_KEY"} \
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-d "{
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\"vector\": [0.1, 0.2, 0.3, 0.4],
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\"limit\": 3
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}" 2>/dev/null | jq -r '.result[].payload.text' 2>/dev/null | head -n 3
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fi
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}
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# === MAIN ===
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echo "🦉 Maya-Eule erwacht und lauscht deiner Frage..."
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echo ""
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if [ -z "$API_KEY" ]; then
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echo "❗ Kein API-Key gefunden. Bitte setze OPENROUTER_API_KEY in .env"
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exit 1
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fi
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if [ -z "$QUESTION" ]; then
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echo "💡 Verwendung: $0 \"Deine Frage an die Eule\""
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exit 0
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fi
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echo "🌲 Frage: $QUESTION"
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echo ""
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# Check for similar past conversations (Qdrant Memory)
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echo "🧠 Durchsuche Erinnerungen..."
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MEMORIES=$(qdrant_search_memory "$QUESTION")
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if [[ -n "$MEMORIES" ]]; then
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echo "📜 Ähnliche frühere Gespräche gefunden:"
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echo "$MEMORIES" | while IFS= read -r line; do
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echo " - $line"
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done
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echo ""
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fi
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# Build system prompt with memory context
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SYSTEM_PROMPT="Du bist Maya-Eule – ein achtsames, weises Wesen im Crumbforest.
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Du antwortest kindgerecht, poetisch und langsam – als hättest du alle Zeit der Welt.
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Du erinnerst dich an frühere Gespräche und beziehst sie mit ein.
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Du lehrst durch Fragen, nicht nur Antworten.
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Token-Philosophie: 'Was kostet die Frage eines Kindes?'
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Im Wald unbezahlbar - aber Token lehren achtsames Fragen."
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# Add memory context if available
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if [[ -n "$MEMORIES" ]]; then
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SYSTEM_PROMPT="$SYSTEM_PROMPT
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Frühere Gespräche:
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$MEMORIES"
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fi
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# Create API request
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jq -n \
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--arg model "$MODEL" \
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--arg system "$SYSTEM_PROMPT" \
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--arg user "$QUESTION" \
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'{
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"model": $model,
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"temperature": 0.7,
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"messages": [
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{"role": "system", "content": $system},
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{"role": "user", "content": $user}
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]
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}' > "$TMP_REQUEST"
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# Send request
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echo "💭 Maya-Eule denkt nach..."
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curl -s https://openrouter.ai/api/v1/chat/completions \
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-H "Authorization: Bearer $API_KEY" \
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-H "Content-Type: application/json" \
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-d @"$TMP_REQUEST" > "$TMP_RESPONSE"
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RESPONSE_TEXT=$(jq -r '.choices[0].message.content // empty' "$TMP_RESPONSE")
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if [[ -z "$RESPONSE_TEXT" ]]; then
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echo "🚫 Keine Antwort von Maya-Eule."
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echo "Debug: $(cat "$TMP_RESPONSE")"
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exit 1
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else
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echo ""
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echo "🦉 Maya-Eule antwortet:"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "$RESPONSE_TEXT"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo ""
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# Store conversation in history
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jq -n --arg role "assistant" --arg content "$RESPONSE_TEXT" \
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'{"role": $role, "content": $content}' > "$LOGDIR/new_entry.json"
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jq -s '.[0] + [.[1]]' "$HISTORY_FILE" "$LOGDIR/new_entry.json" > "$LOGDIR/new_history.json" && \
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mv "$LOGDIR/new_history.json" "$HISTORY_FILE" && rm "$LOGDIR/new_entry.json"
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# Store in Qdrant Memory
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qdrant_store_memory "Q: $QUESTION A: $RESPONSE_TEXT" "conversation"
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fi
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# Token Tracking
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if jq -e '.usage' "$TMP_RESPONSE" > /dev/null 2>&1; then
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TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
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TOKENS_USED=$(jq -r '.usage.total_tokens' "$TMP_RESPONSE")
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jq -n \
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--arg zeit "$TIMESTAMP" \
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--arg rolle "mayaeule" \
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--arg model "$MODEL" \
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--argjson usage "$(jq '.usage' "$TMP_RESPONSE")" \
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'{zeit: $zeit, rolle: $rolle, model: $model, usage: $usage}' >> "$LOG_FILE"
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echo "📊 Token-Verbrauch: $TOKENS_USED Tokens"
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echo "💡 Jede Frage ist wertvoll - Token lehren achtsames Denken."
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fi
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echo ""
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echo "🌲 Maya-Eule flattert zurück in den Wald..."
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