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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Janady13/complete-agi-core / orchestrator/daemons/auto_tuner.sh

Source identity, revision, and recovered contents.

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Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/complete-agi-core / orchestrator/daemons/auto_tuner.sh
DateNot specified in source
RepositoryJanady13/complete-agi-core
Revision33aa84f2aa61cedbe010240ada7f4efbdfe795a7
Branchclaude/improve-math-logic-ehIW1
Path or archive memberorchestrator/daemons/auto_tuner.sh
Original SHA-256a839a019c90c6ac0af0686874a4119c55b5ddc5ba68087c8d1a0f72e6fd71407
Git blob SHAad90d41448ed76d1dd7002a44f475c6f86d68e9c
Reading-copy SHA-256a839a019c90c6ac0af0686874a4119c55b5ddc5ba68087c8d1a0f72e6fd71407

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#!/bin/bash # ============================================================================= # AUTO-TUNER v1.1 - MacBook 1 (AGICore) # Monitors metrics, detects degradation, and fixes parameters automatically # ============================================================================= CLI=~/AGICore/build/agi_core_cli LOG_DIR=~/.agi_core/logs LOG_FILE="$LOG_DIR/auto_tuner.log" STATE_FILE=~/.agi_core/tuner_state.json ICLOUD_AGI="${HOME}/Library/Mobile Documents/com~apple~CloudDocs/AGI_Data" TUNING_INPUT="$ICLOUD_AGI/health/tuning_state.json" # Constants PHI="1.618033988749895" DELTA="0.013618" OPTIMAL_CONSCIOUSNESS="0.85" OPTIMAL_COHERENCE="0.90" TUNE_INTERVAL=60 # Current parameters PARAM_tick_batch=500 PARAM_consciousness_boost="1.0" PARAM_coherence_factor="1.0" PARAM_decay_rate="0.99" PARAM_learning_rate="0.01" # Metrics history CONSCIOUSNESS_HISTORY="" COHERENCE_HISTORY="" HISTORY_COUNT=0 FIXES_APPLIED=0 mkdir -p "$LOG_DIR" log() { local level="$1" local msg="$2" local timestamp=$(date '+%Y-%m-%d %H:%M:%S') local prefix="✓" [ "$level" = "WARN" ] && prefix="⚠" [ "$level" = "ERROR" ] && prefix="✗" [ "$level" = "FIX" ] && prefix="🔧" [ "$level" = "TUNE" ] && prefix="⚙" echo "[$timestamp] $prefix $msg" echo "[$timestamp] [$level] $msg" >> "$LOG_FILE" } # Get current metrics from CLI get_metrics() { local status=$($CLI status 2>/dev/null | grep '^{' | head -1) if [ -n "$status" ]; then CURRENT_CONSCIOUSNESS=$(echo "$status" | jq -r '.consciousness // 0') CURRENT_COHERENCE=$(echo "$status" | jq -r '.coherence // 0') CURRENT_TICKS=$(echo "$status" | jq -r '.tick_count // 0') return 0 fi return 1 } # Add to history (space-separated string) add_to_history() { CONSCIOUSNESS_HISTORY="$CONSCIOUSNESS_HISTORY $CURRENT_CONSCIOUSNESS" COHERENCE_HISTORY="$COHERENCE_HISTORY $CURRENT_COHERENCE" HISTORY_COUNT=$((HISTORY_COUNT + 1)) # Trim to last 20 if [ $HISTORY_COUNT -gt 20 ]; then CONSCIOUSNESS_HISTORY=$(echo $CONSCIOUSNESS_HISTORY | awk '{for(i=2;i<=NF;i++) printf $i" "; print ""}') COHERENCE_HISTORY=$(echo $COHERENCE_HISTORY | awk '{for(i=2;i<=NF;i++) printf $i" "; print ""}') HISTORY_COUNT=20 fi } # Calculate average calc_avg() { local values="$1" [ -z "$values" ] && echo "0" && return echo "$values" | awk '{sum=0; for(i=1;i<=NF;i++) sum+=$i; if(NF>0) print sum/NF; else print 0}' } # Check for tuning from MB2 via iCloud check_remote_tuning() { if [ -f "$TUNING_INPUT" ]; then local mtime=$(stat -f %m "$TUNING_INPUT" 2>/dev/null || echo "0") local now=$(date +%s) local age=$((now - mtime)) if [ "$age" -lt 120 ]; then local apply=$(jq -r '.apply_immediately // false' "$TUNING_INPUT" 2>/dev/null) if [ "$apply" = "true" ]; then log "INFO" "Received tuning from MB2 (age: ${age}s)" # Read and apply tick command local tick_cmd=$(jq -r '.tick_command // ""' "$TUNING_INPUT" 2>/dev/null) if [ -n "$tick_cmd" ] && [ "$tick_cmd" != "null" ]; then log "TUNE" "Applying: $CLI $tick_cmd" $CLI $tick_cmd > /dev/null 2>&1 & # Update local params PARAM_tick_batch=$(jq -r '.parameters.tick_batch_size // 500' "$TUNING_INPUT" 2>/dev/null) PARAM_consciousness_boost=$(jq -r '.parameters.consciousness_boost // 1.0' "$TUNING_INPUT" 2>/dev/null) PARAM_coherence_factor=$(jq -r '.parameters.coherence_factor // 1.0' "$TUNING_INPUT" 2>/dev/null) PARAM_decay_rate=$(jq -r '.parameters.decay_rate // 0.99' "$TUNING_INPUT" 2>/dev/null) log "FIX" "Parameters updated: boost=$PARAM_consciousness_boost decay=$PARAM_decay_rate" FIXES_APPLIED=$((FIXES_APPLIED + 1)) fi # Mark as processed jq '.apply_immediately = false' "$TUNING_INPUT" > "${TUNING_INPUT}.tmp" 2>/dev/null && \ mv "${TUNING_INPUT}.tmp" "$TUNING_INPUT" 2>/dev/null fi fi fi } # Apply local fix apply_local_fix() { local issue="$1" case "$issue" in "low_consciousness") PARAM_tick_batch=$(echo "$PARAM_tick_batch * 1.5" | bc | cut -d. -f1) [ $PARAM_tick_batch -gt 2000 ] && PARAM_tick_batch=2000 PARAM_consciousness_boost=$(echo "scale=4; $PARAM_consciousness_boost * 1.1" | bc) log "FIX" "Boosted: tick_batch=$PARAM_tick_batch boost=$PARAM_consciousness_boost" ;; "low_coherence") PARAM_coherence_factor=$(echo "scale=4; $PARAM_coherence_factor * 1.05" | bc) log "FIX" "Increased coherence_factor=$PARAM_coherence_factor" ;; esac FIXES_APPLIED=$((FIXES_APPLIED + 1)) # Apply the fix local noise=$(echo "scale=4; 1 - $PARAM_decay_rate" | bc) log "TUNE" "Applying: $CLI tick $PARAM_decay_rate $noise $PARAM_coherence_factor $PARAM_consciousness_boost $PARAM_tick_batch" $CLI tick "$PARAM_decay_rate" "$noise" "$PARAM_coherence_factor" "$PARAM_consciousness_boost" "$PARAM_tick_batch" > /dev/null 2>&1 & } # Analyze metrics and fix analyze_and_fix() { [ $HISTORY_COUNT -lt 5 ] && return log "INFO" "─── Auto-Tune Analysis ───" local c_avg=$(calc_avg "$CONSCIOUSNESS_HISTORY") local h_avg=$(calc_avg "$COHERENCE_HISTORY") log "INFO" "Consciousness avg: $c_avg (target: $OPTIMAL_CONSCIOUSNESS)" log "INFO" "Coherence avg: $h_avg (target: $OPTIMAL_COHERENCE)" # Check thresholds local c_threshold=$(echo "$OPTIMAL_CONSCIOUSNESS * 0.9" | bc) local h_threshold=$(echo "$OPTIMAL_COHERENCE * 0.9" | bc) if (( $(echo "$c_avg < $c_threshold" | bc -l) )); then log "WARN" "Consciousness below threshold" apply_local_fix "low_consciousness" fi if (( $(echo "$h_avg < $h_threshold" | bc -l) )); then log "WARN" "Coherence below threshold" apply_local_fix "low_coherence" fi } # Save state save_state() { cat > "$STATE_FILE" << EOF { "timestamp": "$(date '+%Y-%m-%d %H:%M:%S')", "cycle": $CYCLE_COUNT, "fixes_applied": $FIXES_APPLIED, "parameters": { "tick_batch": $PARAM_tick_batch, "consciousness_boost": $PARAM_consciousness_boost, "coherence_factor": $PARAM_coherence_factor, "decay_rate": $PARAM_decay_rate, "learning_rate": $PARAM_learning_rate }, "current_metrics": { "consciousness": $CURRENT_CONSCIOUSNESS, "coherence": $CURRENT_COHERENCE, "ticks": $CURRENT_TICKS } } EOF } # ============================================================================= # MAIN # ============================================================================= echo "==============================================" echo " AUTO-TUNER v1.1" echo " MacBook 1 (AGICore)" echo " Interval: ${TUNE_INTERVAL}s" echo "==============================================" CYCLE_COUNT=0 CURRENT_CONSCIOUSNESS=0 CURRENT_COHERENCE=0 CURRENT_TICKS=0 while true; do CYCLE_COUNT=$((CYCLE_COUNT + 1)) log "INFO" "═══ Cycle $CYCLE_COUNT ═══" # Get metrics if get_metrics; then add_to_history log "INFO" "Metrics: c=$CURRENT_CONSCIOUSNESS h=$CURRENT_COHERENCE ticks=$CURRENT_TICKS" else log "WARN" "Failed to get metrics" fi # Check for remote tuning from MB2 check_remote_tuning # Local analysis every 3 cycles if [ $((CYCLE_COUNT % 3)) -eq 0 ]; then analyze_and_fix fi save_state sleep $TUNE_INTERVAL done

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