feat(openclaw): strip tracking agent prompt bloat and add 15m deterministic sliding-window compaction

- Disable bootstrap context injection (contextInjection: never) and skill catalog injection (skills: []) on mila_tracker and nutrition_tracker, dropping baseline prompt by 95% (<350 tokens) - Disable reasoning loops on tracking agents (thinkingDefault: off) for instantaneous sub-second execution - Add compact_tracking_sessions.py with deterministic 8-line sliding window (--max-lines 8) requiring 0 LLM tokens - Register automated 15-minute cron job (tracking-session-sliding-window) in OpenClaw gateway - Streamline setup-compaction-cron.sh to sync python scripts directly and manage both 15m and nightly maintenance
2026-10-14 14:14:35 +02:00
parent a0c8c3828c
commit 02fcbd3174
5 changed files with 190 additions and 326 deletions
@@ -23,6 +23,15 @@ THRESHOLD_EVENT_COUNT = 30
 CRON_MAX_AGE_HOURS = 48
 RPC_TIMEOUT_MS = 180000

+# Tracking Channels: Deterministic sliding-window (mila_tracker, nutrition_tracker).
+# Strict sliding window of ~5-8 events (2-3 turns max), 0 LLM tokens, instant truncation.
+TRACKING_TARGETS = [
+    ("mila_tracker", "agent:mila_tracker:telegram:group:-1004326921510:topic:2796"),
+    ("nutrition_tracker", "agent:nutrition_tracker:telegram:group:-1004326921510:topic:2797"),
+]
+MAX_TRACKING_EVENTS = 8
+MAX_TRACKING_LINES = 8
+
 # Tier A: High-frequency interaction topics (koch, hebamme, shopping).
 # Deep-compaction keeps a compact summary + latest 2 turns without completely wiping conversational memory.
 TIER_A_TARGETS = [
@@ -117,6 +126,41 @@ def prune_stale_cron_sessions():

    print(f"Cron pruning complete: {total_pruned} sessions pruned, {total_tokens_reclaimed} tokens reclaimed.")

+def compact_tracking_sessions():
+    print("=== Tracking Channels Sliding-Window Maintenance (mila_tracker, nutrition_tracker) ===")
+    for agent, key in TRACKING_TARGETS:
+        db_path = f"/home/node/.openclaw/agents/{agent}/agent/openclaw-agent.sqlite"
+        if not os.path.exists(db_path):
+            continue
+        try:
+            con = sqlite3.connect(db_path, timeout=5.0)
+            row = con.execute("SELECT current_session_id FROM session_nodes WHERE session_key=?", (key,)).fetchone()
+            if not row or not row[0]:
+                con.close()
+                print(f"  [{agent}] No active session node found for {key}.")
+                continue
+            sid = row[0]
+            cnt = con.execute("SELECT count(*) FROM transcript_events WHERE session_id=?", (sid,)).fetchone()[0]
+            con.close()
+
+            if cnt > MAX_TRACKING_EVENTS:
+                print(f"  [{agent}] Session {key} has {cnt} events (> {MAX_TRACKING_EVENTS}). Truncating to last {MAX_TRACKING_LINES} lines...")
+                cmd = [
+                    "openclaw", "sessions", "compact", key,
+                    "--agent", agent,
+                    "--max-lines", str(MAX_TRACKING_LINES),
+                    "--timeout", "30000"
+                ]
+                r = subprocess.run(cmd, capture_output=True, text=True)
+                if r.returncode == 0:
+                    print(f"    ✓ Truncated successfully: {r.stdout.strip()}")
+                else:
+                    print(f"    ✗ Truncation failed: {r.stderr.strip()}")
+            else:
+                print(f"  [{agent}] Session {key} has {cnt} events (<= {MAX_TRACKING_EVENTS}). Clean.")
+        except Exception as e:
+            print(f"  ✗ [{agent}] Error during tracking compaction: {e}")
+
 def compact_tier_a_sessions():
    print("=== Tier A: Deep-Compaction (koch, hebamme, shopping) ===")
    for agent, key in TIER_A_TARGETS:
@@ -180,7 +224,7 @@ def get_session_metrics(agent, key, sid=None):
        return 0, 0

 def compact_active_sessions():
-    tier_a_keys = set(t[1] for t in TIER_A_TARGETS)
+    excluded_keys = set(t[1] for t in TIER_A_TARGETS) | set(t[1] for t in TRACKING_TARGETS)
    print(f"=== Tier B: Running Multi-Agent Compaction (threshold: {THRESHOLD_TOKENS} tokens / {THRESHOLD_TRANSCRIPT_BYTES//1024}KB, LLM summarization) ===")
    res = subprocess.run(["openclaw", "sessions", "--all-agents", "--json"], capture_output=True, text=True)
    if res.returncode != 0:
@@ -197,8 +241,8 @@ def compact_active_sessions():
        tokens = s.get("totalTokens") or 0
        sid = s.get("sessionId")

-        # Skip Tier A agents as they are handled via hard-reset
-        if key in tier_a_keys:
+        # Skip Tier A and Tracking agents as they have dedicated routines
+        if key in excluded_keys:
            continue

        # Target main sessions and all telegram sessions (topics and direct)
@@ -280,6 +324,7 @@ def main():
    except Exception:
        pass
    prune_stale_cron_sessions()
+    compact_tracking_sessions()
    compact_tier_a_sessions()
    compact_active_sessions()
    checkpoint_wal_journals()
@@ -0,0 +1,66 @@
+#!/usr/bin/env python3
+"""
+Lightweight sliding-window compaction for OpenClaw tracking channels:
+- mila_tracker (topic 2796)
+- nutrition_tracker (topic 2797)
+
+Maintains a strict sliding window of ~5-8 transcript events (max 2-3 turns).
+Uses native gateway truncation (--max-lines 8) requiring 0 LLM tokens and 0 external API calls.
+"""
+import os
+import sqlite3
+import subprocess
+import sys
+import time
+
+MAX_TRACKING_EVENTS = 8
+MAX_TRACKING_LINES = 8
+TIMEOUT_MS = 30000
+
+TRACKING_TARGETS = [
+    ("mila_tracker", "agent:mila_tracker:telegram:group:-1004326921510:topic:2796"),
+    ("nutrition_tracker", "agent:nutrition_tracker:telegram:group:-1004326921510:topic:2797"),
+]
+
+def check_and_compact_tracking():
+    compacted_count = 0
+    skipped_count = 0
+
+    for agent, key in TRACKING_TARGETS:
+        db_path = f"/home/node/.openclaw/agents/{agent}/agent/openclaw-agent.sqlite"
+        if not os.path.exists(db_path):
+            continue
+        try:
+            con = sqlite3.connect(db_path, timeout=5.0)
+            row = con.execute("SELECT current_session_id FROM session_nodes WHERE session_key=?", (key,)).fetchone()
+            if not row or not row[0]:
+                con.close()
+                continue
+            sid = row[0]
+            cnt = con.execute("SELECT count(*) FROM transcript_events WHERE session_id=?", (sid,)).fetchone()[0]
+            con.close()
+
+            if cnt > MAX_TRACKING_EVENTS:
+                print(f"[{agent}] Session {key} has {cnt} events (threshold {MAX_TRACKING_EVENTS}). Truncating to last {MAX_TRACKING_LINES} lines...")
+                cmd = [
+                    "openclaw", "sessions", "compact", key,
+                    "--agent", agent,
+                    "--max-lines", str(MAX_TRACKING_LINES),
+                    "--timeout", str(TIMEOUT_MS)
+                ]
+                res = subprocess.run(cmd, capture_output=True, text=True)
+                if res.returncode == 0:
+                    print(f"  ✓ [{agent}] Truncated successfully: {res.stdout.strip()}")
+                    compacted_count += 1
+                else:
+                    print(f"  ✗ [{agent}] Truncation failed: {res.stderr.strip()}", file=sys.stderr)
+            else:
+                skipped_count += 1
+        except Exception as e:
+            print(f"[{agent}] Error checking session: {e}", file=sys.stderr)
+
+    if compacted_count > 0:
+        print(f"Tracking maintenance: {compacted_count} sessions truncated, {skipped_count} within window.")
+
+if __name__ == "__main__":
+    check_and_compact_tracking()