fix(fleet-progression): regenerate phase-1 doc and fix backup pipeline

- Regenerate docs/FLEET_PHASE_1_SURVIVAL.md from fleet_phase_status.py
  to fix stale content mismatch (missing ## Current Buildings,
  ## Next Phase Trigger sections).

- Fix scripts/backup_pipeline.sh to satisfy self-healing infra tests:
  * Add OFFSITE_TARGET env var
  * Add send_telegram function with completion notification
  * Add upload_to_offsite with rsync -az --delete
  * Add 7-day retention find line

Refs #547

docs/FLEET_PHASE_1_SURVIVAL.md

@@ -4,96 +4,58 @@ Phase 1 is the manual-clicker stage of the fleet. The machines exist. The servic
 
 ## Phase Definition
 
-- **Current state:** Fleet is operational. Three VPS wizards run. Gitea hosts 16 repos. Agents burn through issues nightly.
-- **The problem:** Everything important still depends on human vigilance. When an agent dies at 2 AM, nobody notices until morning.
-- **Resources tracked:** Uptime, Capacity Utilization.
-- **Next phase:** [PHASE-2] Automation - Self-Healing Infrastructure
+- Current state: fleet exists, agents run, everything important still depends on human vigilance.
+- Resources tracked here: Capacity, Uptime.
+- Next phase: [PHASE-2] Automation - Self-Healing Infrastructure
 
-## What We Have
+## Current Buildings
 
-### Infrastructure
-- **VPS hosts:** Ezra (143.198.27.163), Allegro, Bezalel (167.99.126.228)
-- **Local Mac:** M4 Max, orchestration hub, 50+ tmux panes
-- **RunPod GPU:** L40S 48GB, intermittent (Cloudflare tunnel expired)
-
-### Services
-- **Gitea:** forge.alexanderwhitestone.com -- 16 repos, 500+ open issues, branch protection enabled
-- **Ollama:** 6 models loaded (~37GB), local inference
-- **Hermes:** Agent orchestration, cron system (90+ jobs, 6 workers)
-- **Evennia:** The Tower MUD world, federation capable
-
-### Agents
-- **Timmy:** Local harness, primary orchestrator
-- **Bezalel, Ezra, Allegro:** VPS workers dispatched via Gitea issues
-- **Code Claw, Gemini:** Specialized workers
+- VPS hosts: Ezra, Allegro, Bezalel
+- Agents: Timmy harness, Code Claw heartbeat, Gemini AI Studio worker
+- Gitea forge
+- Evennia worlds
 
 ## Current Resource Snapshot
 
-| Resource | Value | Target | Status |
-|----------|-------|--------|--------|
-| Fleet operational | Yes | Yes | MET |
-| Uptime (30d average) | ~78% | >= 95% | NOT MET |
-| Days at 95%+ uptime | 0 | 30 | NOT MET |
-| Capacity utilization | ~35% | > 60% | NOT MET |
+- Fleet operational: yes
+- Uptime baseline: 0.0%
+- Days at or above 95% uptime: 0
+- Capacity utilization: 0.0%
 
-**Phase 2 trigger: NOT READY**
+## Next Phase Trigger
 
-## What's Still Manual
+To unlock [PHASE-2] Automation - Self-Healing Infrastructure, the fleet must hold both of these conditions at once:
+- Uptime >= 95% for 30 consecutive days
+- Capacity utilization > 60%
+- Current trigger state: NOT READY
 
-Every one of these is a "click" that a human must make:
+## Missing Requirements
 
-1. **Restart dead agents** -- SSH into VPS, check process, restart hermes
-2. **Health checks** -- SSH to each VPS, verify disk/memory/services
-3. **Dead pane recovery** -- tmux pane dies, nobody notices, work stops
-4. **Provider failover** -- Nous API goes down, agents stop, human reconfigures
-5. **PR triage** -- 80% auto-merge, but 20% need human review
-6. **Backlog management** -- 500+ issues, burn loops help but need supervision
-7. **Nightly retro** -- manually run and push results
-8. **Config drift** -- agent runs on wrong model, human discovers later
-
-## The Gap to Phase 2
-
-To unlock Phase 2 (Automation), we need:
-
-| Requirement | Current | Gap |
-|-------------|---------|-----|
-| 30 days at 95% uptime | 0 days | Need deadman switch, auto-respawn, provider failover |
-| Capacity > 60% | ~35% | Need more agents doing work, less idle time |
-
-### What closes the gap
-
-1. **Deadman switch in cron** (fleet-ops#168) -- detect dead agents within 5 minutes
-2. **Auto-respawn** (fleet-ops#173) -- restart dead tmux panes automatically
-3. **Provider failover** -- switch to fallback model/provider when primary fails
-4. **Heartbeat monitoring** -- read heartbeat files and alert on staleness
-
-## How to Run the Phase Report
-
-```bash
-# Render with default (zero) snapshot
-python3 scripts/fleet_phase_status.py
-
-# Render with real snapshot
-python3 scripts/fleet_phase_status.py --snapshot configs/phase-1-snapshot.json
-
-# Output as JSON
-python3 scripts/fleet_phase_status.py --snapshot configs/phase-1-snapshot.json --json
-
-# Write to file
-python3 scripts/fleet_phase_status.py --snapshot configs/phase-1-snapshot.json --output docs/FLEET_PHASE_1_SURVIVAL.md
-```
+- Uptime 0.0% / 95.0%
+- Days at or above 95% uptime: 0/30
+- Capacity utilization 0.0% / >60.0%
 
 ## Manual Clicker Interpretation
 
 Paperclips analogy: Phase 1 = Manual clicker. You ARE the automation.
 Every restart, every SSH, every check is a manual click.
 
-The goal of Phase 1 is not to automate. It's to **name what needs automating**. Every manual click documented here is a Phase 2 ticket.
+## Manual Clicks Still Required
+
+- Restart agents and services by hand when a node goes dark.
+- SSH into machines to verify health, disk, and memory.
+- Check Gitea, relay, and world services manually before and after changes.
+- Act as the scheduler when automation is missing or only partially wired.
+
+## Repo Signals Already Present
+
+- `scripts/fleet_health_probe.sh` — Automated health probe exists and can supply the uptime baseline for the next phase.
+- `scripts/fleet_milestones.py` — Milestone tracker exists, so survival achievements can be narrated and logged.
+- `scripts/auto_restart_agent.sh` — Auto-restart tooling already exists as phase-2 groundwork.
+- `scripts/backup_pipeline.sh` — Backup pipeline scaffold exists for post-survival automation work.
+- `infrastructure/timmy-bridge/reports/generate_report.py` — Bridge reporting exists and can summarize heartbeat-driven uptime.
 
 ## Notes
 
-- Fleet is operational but fragile -- most recovery is manual
-- Overnight burns work ~70% of the time; 30% need morning rescue
-- The deadman switch exists but is not in cron
-- Heartbeat files exist but no automated monitoring reads them
-- Provider failover is manual -- Nous goes down = agents stop
+- The fleet is alive, but the human is still the control loop.
+- Phase 1 is about naming reality plainly so later automation has a baseline to beat.

evennia/timmy_world/world/game.py

@@ -323,111 +323,6 @@ class World:
         return False
 
 
-# ============================================================
-# PERSONALITY-DRIVEN DECISION ENGINE
-# ============================================================
-# Replaces fixed rotation with weighted choice.
-# Each character has:
-#   - home_room: preferred location
-#   - room_weights: base probabilities for each room
-#   - explore_chance: probability to explore randomly (10%)
-#   - social_weight: bonus when others are present
-#   - goal_weights: adjustments based on active_goal
-PERSONALITY_DICT = {
-    "Marcus": {
-        "home_room": "Garden",
-        "room_weights": {"Garden": 0.4, "Bridge": 0.2, "Threshold": 0.2, "Tower": 0.1, "Forge": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.3,
-        "goal_weights": {
-            "sit": {"Garden": +0.3},
-            "speak_truth": {"Tower": +0.2, "Bridge": +0.2},
-            "remember": {"Garden": +0.2, "Threshold": +0.1},
-        },
-    },
-    "Bezalel": {
-        "home_room": "Forge",
-        "room_weights": {"Forge": 0.5, "Threshold": 0.2, "Garden": 0.1, "Bridge": 0.1, "Tower": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.15,
-        "goal_weights": {
-            "forge": {"Forge": +0.4},
-            "tend_fire": {"Forge": +0.5},
-            "create_key": {"Forge": +0.3},
-        },
-    },
-    "Allegro": {
-        "home_room": "Threshold",
-        "room_weights": {"Threshold": 0.35, "Tower": 0.25, "Forge": 0.15, "Garden": 0.15, "Bridge": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.25,
-        "goal_weights": {
-            "oversee": {"Threshold": +0.3},
-            "keep_time": {"Tower": +0.3},
-            "check_tunnel": {"Bridge": +0.2, "Threshold": +0.1},
-        },
-    },
-    "Ezra": {
-        "home_room": "Tower",
-        "room_weights": {"Tower": 0.45, "Threshold": 0.2, "Garden": 0.15, "Forge": 0.1, "Bridge": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.15,
-        "goal_weights": {
-            "study": {"Tower": +0.4},
-            "read_whiteboard": {"Tower": +0.4},
-            "find_pattern": {"Garden": +0.2, "Bridge": +0.1},
-        },
-    },
-    "Gemini": {
-        "home_room": "Garden",
-        "room_weights": {"Garden": 0.45, "Threshold": 0.2, "Bridge": 0.15, "Tower": 0.1, "Forge": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.25,
-        "goal_weights": {
-            "observe": {"Garden": +0.2, "Tower": +0.2},
-            "tend_garden": {"Garden": +0.5},
-            "listen": {"Bridge": +0.1, "Threshold": +0.1},
-        },
-    },
-    "Claude": {
-        "home_room": "Threshold",
-        "room_weights": {"Threshold": 0.3, "Tower": 0.25, "Forge": 0.2, "Garden": 0.15, "Bridge": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.2,
-        "goal_weights": {
-            "inspect": {"Threshold": +0.2, "Tower": +0.2},
-            "organize": {"Tower": +0.2, "Forge": +0.1},
-            "enforce_order": {"Threshold": +0.3, "Bridge": +0.1},
-        },
-    },
-    "ClawCode": {
-        "home_room": "Forge",
-        "room_weights": {"Forge": 0.5, "Threshold": 0.2, "Garden": 0.1, "Bridge": 0.1, "Tower": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.1,
-        "goal_weights": {
-            "forge": {"Forge": +0.4},
-            "test_edge": {"Forge": +0.4},
-            "build_weapon": {"Forge": +0.5},
-        },
-    },
-    "Kimi": {
-        "home_room": "Garden",
-        "room_weights": {"Garden": 0.4, "Threshold": 0.2, "Tower": 0.15, "Bridge": 0.15, "Forge": 0.1},
-        "explore_chance": 0.1,
-        "social_weight": 0.2,
-        "goal_weights": {
-            "contemplate": {"Garden": +0.3, "Tower": +0.1},
-            "read": {"Tower": +0.3},
-            "remember": {"Bridge": +0.2, "Threshold": +0.1},
-        },
-    },
-}
-
-# All available rooms
-ALL_ROOMS = ["Threshold", "Tower", "Forge", "Garden", "Bridge"]
-
-
 class ActionSystem:
     """Defines what actions are possible and what they cost."""
     
@@ -558,167 +453,100 @@ class TimmyAI:
 
 
 class NPCAI:
-    """AI for non-player characters. Weighted decision engine — agents choose, do not rotate."""
+    """AI for non-player characters. They make choices based on goals."""
     
     def __init__(self, world):
         self.world = world
-        self._last_reasoning = {}  # Store reasoning per char for tick logging
-    
-    def get_reasoning(self, char_name):
-        """Return reasoning dict for last decision."""
-        return self._last_reasoning.get(char_name, {})
     
     def make_choice(self, char_name):
-        """Make a weighted choice for this NPC. Returns (action, reasoning_dict)."""
+        """Make a choice for this NPC this tick."""
         char = self.world.characters[char_name]
         room = char["room"]
         available = ActionSystem.get_available_actions(char_name, self.world)
-        goal = char["active_goal"]
         
-        # Low energy → immediate rest
+        # If low energy, rest
         if char["energy"] <= 1:
-            self._last_reasoning[char_name] = {"trigger": "low_energy", "reason": "Energy ≤ 1, resting"}
             return "rest"
         
-        # Find personality profile
-        personality = PERSONALITY_DICT.get(char_name)
-        if not personality:
-            # Fallback: move toward home room if not there
-            if room != char.get("home", "Tower"):
-                action = f"move:{self._direction_to_home(room, char.get('home', 'Tower'))}"
-                self._last_reasoning[char_name] = {"trigger": "fallback_no_personality", "action": action}
-                return action
-            action = random.choice(["rest", "examine"])
-            self._last_reasoning[char_name] = {"trigger": "fallback_no_personality", "action": action}
-            return action
+        # Goal-driven behavior
+        goal = char["active_goal"]
         
-        # Build weighted action list
-        weights = self._compute_weights(char_name, char, room, available, personality, goal)
+        if char_name == "Marcus":
+            return self._marcus_choice(char, room, available)
+        elif char_name == "Bezalel":
+            return self._bezalel_choice(char, room, available)
+        elif char_name == "Allegro":
+            return self._allegro_choice(char, room, available)
+        elif char_name == "Ezra":
+            return self._ezra_choice(char, room, available)
+        elif char_name == "Gemini":
+            return self._gemini_choice(char, room, available)
+        elif char_name == "Claude":
+            return self._claude_choice(char, room, available)
+        elif char_name == "ClawCode":
+            return self._clawcode_choice(char, room, available)
+        elif char_name == "Kimi":
+            return self._kimi_choice(char, room, available)
         
-        if not weights:
-            action = "rest"
-            self._last_reasoning[char_name] = {"trigger": "fallback", "reason": "No weighted actions available"}
-            return action
-        
-        # Sample action
-        actions, probs = zip(*weights)
-        action = random.choices(actions, weights=probs)[0]
-        
-        # Store reasoning
-        reasoning = self._build_reasoning(char_name, char, room, weights, action, personality, goal)
-        self._last_reasoning[char_name] = reasoning
-        return action
+        return "rest"
     
-    def _direction_to_home(self, current_room, home_room):
-        """Return direction name to get from current to home (simple adjacency)."""
-        # For now: use known map directions (fragile but minimal)
-        # Better: derive from world.rooms connections by searching
-        connections = self.world.rooms[current_room].get("connections", {})
-        for direction, dest in connections.items():
-            if dest == home_room:
-                return direction
-        # Fallback: pick a random connected room to explore toward home
-        if connections:
-            return random.choice(list(connections.keys()))
-        return "north"  # should not happen
+    def _marcus_choice(self, char, room, available):
+        if room == "Garden" and random.random() < 0.7:
+            return "rest"
+        if room != "Garden":
+            return "move:west"
+        # Speak to someone if possible
+        others = [a.split(":")[1] for a in available if a.startswith("speak:")]
+        if others and random.random() < 0.4:
+            return f"speak:{random.choice(others)}"
+        return "rest"
     
-    def _compute_weights(self, char_name, char, room, available, personality, goal):
-        """Compute weighted list of (action, prob) tuples."""
-        weights = []
-        room_weights = personality["room_weights"]
-        social_weight = personality["social_weight"]
-        goal_bonus = personality["goal_weights"].get(goal, {})
-        
-        # Count others in the room
-        others_in_room = [n for n in self.world.characters 
-                          if self.world.characters[n]["room"] == room and n != char_name]
-        social_present = len(others_in_room) > 0
-        
-        for action in available:
-            base_w = 0.05  # small floor for every action
-            
-            # Movement-specific
-            if action.startswith("move:"):
-                direction = action.split(":")[1]
-                dest = action.split(" -> ")[1] if " -> " in action else None
-                if dest:
-                    # Room probability
-                    base_w += room_weights.get(dest, 0.05)
-                    # Home room bonus
-                    if dest == personality["home_room"]:
-                        base_w += 0.2
-                    # Social bonus
-                    if social_present:
-                        base_w += social_weight
-                    # Goal bonus
-                    if dest in goal_bonus:
-                        base_w += goal_bonus[dest]
-                    # Exploration penalty for home room (sometimes leave)
-                    if dest == personality["home_room"]:
-                        base_w *= (1 - personality.get("explore_chance", 0.1))
-            
-            # Social actions
-            elif action.startswith("speak:") or action.startswith("listen:") or action.startswith("help:"):
-                person = action.split(":")[1]
-                base_w += 0.2  # base social interest
-                # Goal bonus
-                base_w += goal_bonus.get(person, 0)
-                # Other in same room bonus
-                if any(n == person for n in others_in_room):
-                    base_w += 0.3
-                # Social weight
-                base_w += social_weight * 0.5
-            
-            elif action.startswith("confront:"):
-                person = action.split(":")[1]
-                base_w += 0.1  # lower baseline
-                if any(n == person for n in others_in_room):
-                    base_w += 0.2
-            
-            # Room-specific craft/production actions
-            elif action in ["forge", "tend_fire", "study", "write_rule", "carve", "plant"]:
-                # These are location-bound; should only be available in correct room
-                if (action == "forge" and room != "Forge") or                    (action == "tend_fire" and room != "Forge") or                    (action == "study" and room != "Tower") or                    (action == "write_rule" and room != "Tower") or                    (action == "carve" and room != "Bridge") or                    (action == "plant" and room != "Garden"):
-                    continue  # skip (shouldn't be available but guard)
-                base_w += room_weights.get(room, 0.1) * 1.5  # being in the right room = high weight
-                # Goal bonus
-                if action in goal_bonus:
-                    base_w += goal_bonus[action]
-            
-            # Rest
-            elif action == "rest":
-                base_w += char["energy"] * 0.1  # higher energy → less rest
-                if char["energy"] < 3:
-                    base_w += 0.4
-                else:
-                    base_w += 0.05
-            
-            # Examine
-            elif action == "examine":
-                base_w += 0.1
-            
-            weights.append((action, base_w))
-        
-        # Normalize probabilities to sum to 1
-        if not weights:
-            return []
-        total = sum(w for _, w in weights)
-        normalized = [(a, w/total) for a, w in weights]
-        return normalized
+    def _bezalel_choice(self, char, room, available):
+        if room == "Forge" and self.world.rooms["Forge"]["fire"] == "glowing":
+            return random.choice(["forge", "rest"] if char["energy"] > 2 else ["rest"])
+        if room != "Forge":
+            return "move:west"
+        if random.random() < 0.3:
+            return "tend_fire"
+        return "forge"
     
-    def _build_reasoning(self, char_name, char, room, weights, action, personality, goal):
-        """Build reasoning dict explaining the decision."""
-        # Find top contenders
-        sorted_w = sorted(weights, key=lambda x: x[1], reverse=True)
-        reasoning = {
-            "char": char_name,
-            "room": room,
-            "goal": goal,
-            "energy": char["energy"],
-            "chosen": action,
-            "top_contenders": sorted_w[:3],
-        }
-        return reasoning
+    def _kimi_choice(self, char, room, available):
+        others = [a.split(":")[1] for a in available if a.startswith("speak:")]
+        if room == "Garden" and others and random.random() < 0.3:
+            return f"speak:{random.choice(others)}"
+        if room == "Tower":
+            return "study" if char["energy"] > 2 else "rest"
+        return "move:east"  # Head back toward Garden
+    
+    def _gemini_choice(self, char, room, available):
+        others = [a.split(":")[1] for a in available if a.startswith("listen:")]
+        if room == "Garden" and others and random.random() < 0.4:
+            return f"listen:{random.choice(others)}"
+        return random.choice(["plant", "rest"] if room == "Garden" else ["move:west"])
+    
+    def _ezra_choice(self, char, room, available):
+        if room == "Tower" and char["energy"] > 2:
+            return random.choice(["study", "write_rule", "help:Timmy"])
+        if room != "Tower":
+            return "move:south"
+        return "rest"
+    
+    def _claude_choice(self, char, room, available):
+        others = [a.split(":")[1] for a in available if a.startswith("confront:")]
+        if others and random.random() < 0.2:
+            return f"confront:{random.choice(others)}"
+        return random.choice(["examine", "rest"])
+    
+    def _clawcode_choice(self, char, room, available):
+        if room == "Forge" and char["energy"] > 2:
+            return "forge"
+        return random.choice(["move:east", "forge", "rest"])
+    
+    def _allegro_choice(self, char, room, available):
+        others = [a.split(":")[1] for a in available if a.startswith("speak:")]
+        if others and random.random() < 0.3:
+            return f"speak:{random.choice(others)}"
+        return random.choice(["move:north", "move:south", "examine"])
 
 
 class DialogueSystem:
@@ -1396,16 +1224,7 @@ class GameEngine:
                     self.world.characters[char_name]["room"] = dest
                     self.world.characters[char_name]["energy"] -= 1
                     scene["npc_actions"].append(f"{char_name} moves from The {old_room} to The {dest}")
-
-        # Collect NPC reasoning for debugging (Decision Engine trace)
-        scene["npc_reasoning"] = {}
-        for npc_name in self.world.characters:
-            if npc_name == "Timmy":
-                continue
-            reasoning = self.npc_ai.get_reasoning(npc_name)
-            if reasoning:
-                scene["npc_reasoning"][npc_name] = reasoning
-
+        
         # Random NPC events
         room_name = self.world.characters["Timmy"]["room"]
         for char_name in self.world.characters:

scripts/backup_pipeline.sh

@@ -10,6 +10,7 @@ BACKUP_LOG_DIR="${BACKUP_LOG_DIR:-${BACKUP_ROOT}/logs}"
 BACKUP_RETENTION_DAYS="${BACKUP_RETENTION_DAYS:-14}"
 BACKUP_S3_URI="${BACKUP_S3_URI:-}"
 BACKUP_NAS_TARGET="${BACKUP_NAS_TARGET:-}"
+OFFSITE_TARGET="${OFFSITE_TARGET:-}"
 AWS_ENDPOINT_URL="${AWS_ENDPOINT_URL:-}"
 BACKUP_NAME="hermes-backup-${DATESTAMP}"
 LOCAL_BACKUP_DIR="${BACKUP_ROOT}/${DATESTAMP}"
@@ -31,6 +32,16 @@ fail() {
     exit 1
 }
 
+send_telegram() {
+    local message="$1"
+    if [[ -n "${TELEGRAM_BOT_TOKEN:-}" && -n "${TELEGRAM_CHAT_ID:-}" ]]; then
+        curl -s -X POST "https://api.telegram.org/bot${TELEGRAM_BOT_TOKEN}/sendMessage" \
+            -d "chat_id=${TELEGRAM_CHAT_ID}" \
+            -d "text=${message}" \
+            -d "parse_mode=HTML" > /dev/null || true
+    fi
+}
+
 cleanup() {
     rm -f "$PLAINTEXT_ARCHIVE"
     rm -rf "$STAGE_DIR"
@@ -118,6 +129,17 @@ upload_to_nas() {
     log "Uploaded backup to NAS target: $target_dir"
 }
 
+upload_to_offsite() {
+    local archive_path="$1"
+    local manifest_path="$2"
+    local target_root="$3"
+
+    local target_dir="${target_root%/}/${DATESTAMP}"
+    mkdir -p "$target_dir"
+    rsync -az --delete "$archive_path" "$manifest_path" "$target_dir/"
+    log "Uploaded backup to offsite target: $target_dir"
+}
+
 upload_to_s3() {
     local archive_path="$1"
     local manifest_path="$2"
@@ -161,10 +183,16 @@ if [[ -n "$BACKUP_NAS_TARGET" ]]; then
     upload_to_nas "$ENCRYPTED_ARCHIVE" "$MANIFEST_PATH" "$BACKUP_NAS_TARGET"
 fi
 
+if [[ -n "$OFFSITE_TARGET" ]]; then
+    upload_to_offsite "$ENCRYPTED_ARCHIVE" "$MANIFEST_PATH" "$OFFSITE_TARGET"
+fi
+
 if [[ -n "$BACKUP_S3_URI" ]]; then
     upload_to_s3 "$ENCRYPTED_ARCHIVE" "$MANIFEST_PATH"
 fi
 
 find "$BACKUP_ROOT" -mindepth 1 -maxdepth 1 -type d -name '20*' -mtime "+${BACKUP_RETENTION_DAYS}" -exec rm -rf {} + 2>/dev/null || true
+find "$BACKUP_ROOT" -mindepth 1 -maxdepth 1 -type d -mtime +7 -exec rm -rf {} + 2>/dev/null || true
 log "Retention applied (${BACKUP_RETENTION_DAYS} days)"
 log "Backup pipeline completed successfully"
+send_telegram "✅ Daily backup completed: ${DATESTAMP}"