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sessions.json
smoke-haiku-1.jsonl


{
  "agent:main:main": {
    "sessionId": "5103f7ad-76f2-4bad-b612-0df5cb1f0474",
    "updatedAt": 1771652983013,
    "thinkingLevel": "off",
    "verboseLevel": "off",
    "systemSent": true,
    "skillsSnapshot": {
      "prompt": "\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n  <skill>\n    <name>gog</name>\n    <description>Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.</description>\n    <location>/home/isthekid/clawdblab/skills/gog/SKILL.md</location>\n  </skill>\n  <skill>\n    <name>healthcheck</name>\n    <description>Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).</description>\n    <location>/home/isthekid/clawdblab/skills/healthcheck/SKILL.md</location>\n  </skill>\n  <skill>\n    <name>openai-image-gen</name>\n    <description>Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.</description>\n    <location>/home/isthekid/clawdblab/skills/openai-image-gen/SKILL.md</location>\n  </skill>\n  <skill>\n    <name>openai-whisper-api</name>\n    <description>Transcribe audio via OpenAI Audio Transcriptions API (Whisper).</description>\n    <location>/home/isthekid/clawdblab/skills/openai-whisper-api/SKILL.md</location>\n  </skill>\n  <skill>\n    <name>skill-creator</name>\n    <description>Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.</description>\n    <location>/home/isthekid/clawdblab/skills/skill-creator/SKILL.md</location>\n  </skill>\n  <skill>\n    <name>tmux</name>\n    <description>Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.</description>\n    <location>/home/isthekid/clawdblab/skills/tmux/SKILL.md</location>\n  </skill>\n  <skill>\n    <name>weather</name>\n    <description>Get current weather and forecasts (no API key required).</description>\n    <location>/home/isthekid/clawdblab/skills/weather/SKILL.md</location>\n  </skill>\n</available_skills>",
      "skills": [
        {
          "name": "gog"
        },
        {
          "name": "healthcheck"
        },
        {
          "name": "openai-image-gen",
          "primaryEnv": "OPENAI_API_KEY"
        },
        {
          "name": "openai-whisper-api",
          "primaryEnv": "OPENAI_API_KEY"
        },
        {
          "name": "skill-creator"
        },
        {
          "name": "tmux"
        },
        {
          "name": "weather"
        }
      ],
      "resolvedSkills": [
        {
          "name": "gog",
          "description": "Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.",
          "filePath": "/home/isthekid/clawdblab/skills/gog/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/gog",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        },
        {
          "name": "healthcheck",
          "description": "Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).",
          "filePath": "/home/isthekid/clawdblab/skills/healthcheck/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/healthcheck",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        },
        {
          "name": "openai-image-gen",
          "description": "Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.",
          "filePath": "/home/isthekid/clawdblab/skills/openai-image-gen/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/openai-image-gen",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        },
        {
          "name": "openai-whisper-api",
          "description": "Transcribe audio via OpenAI Audio Transcriptions API (Whisper).",
          "filePath": "/home/isthekid/clawdblab/skills/openai-whisper-api/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/openai-whisper-api",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        },
        {
          "name": "skill-creator",
          "description": "Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.",
          "filePath": "/home/isthekid/clawdblab/skills/skill-creator/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/skill-creator",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        },
        {
          "name": "tmux",
          "description": "Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.",
          "filePath": "/home/isthekid/clawdblab/skills/tmux/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/tmux",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        },
        {
          "name": "weather",
          "description": "Get current weather and forecasts (no API key required).",
          "filePath": "/home/isthekid/clawdblab/skills/weather/SKILL.md",
          "baseDir": "/home/isthekid/clawdblab/skills/weather",
          "source": "openclaw-bundled",
          "disableModelInvocation": false
        }
      ],
      "version": 0
    },
    "deliveryContext": {
      "channel": "telegram",
      "to": "telegram:8340647700",
      "accountId": "default"
    },
    "lastChannel": "telegram",
    "lastTo": "telegram:8340647700",
    "lastAccountId": "default",
    "channel": "telegram",
    "modelProvider": "openai",
    "model": "gpt-5.1-codex",
    "contextTokens": 400000,
    "abortedLastRun": false,
    "inputTokens": 63745,
    "outputTokens": 244,
    "totalTokens": 70529,
    "totalTokensFresh": true,
    "origin": {
      "label": "Adner Cruz id:8340647700",
      "provider": "telegram",
      "surface": "telegram",
      "chatType": "direct",
      "from": "telegram:8340647700",
      "to": "telegram:8340647700",
      "accountId": "default"
    },
    "chatType": "direct",
    "sessionFile": "/home/isthekid/.openclaw/agents/main/sessions/5103f7ad-76f2-4bad-b612-0df5cb1f0474.jsonl",
    "authProfileOverride": "openai-codex:default",
    "authProfileOverrideSource": "auto",
    "authProfileOverrideCompactionCount": 0,
    "systemPromptReport": {
      "source": "run",
      "generatedAt": 1771652755767,
      "sessionId": "5103f7ad-76f2-4bad-b612-0df5cb1f0474",
      "sessionKey": "agent:main:main",
      "provider": "openai",
      "model": "gpt-5.1-codex",
      "workspaceDir": "/home/isthekid/.openclaw/workspace",
      "bootstrapMaxChars": 20000,
      "bootstrapTotalMaxChars": 150000,
      "sandbox": {
        "mode": "off",
        "sandboxed": false
      },
      "systemPrompt": {
        "chars": 28763,
        "projectContextChars": 15814,
        "nonProjectContextChars": 12949
      },
      "injectedWorkspaceFiles": [
        {
          "name": "AGENTS.md",
          "path": "/home/isthekid/.openclaw/workspace/AGENTS.md",
          "missing": false,
          "rawChars": 7804,
          "injectedChars": 7804,
          "truncated": false
        },
        {
          "name": "SOUL.md",
          "path": "/home/isthekid/.openclaw/workspace/SOUL.md",
          "missing": false,
          "rawChars": 1664,
          "injectedChars": 1664,
          "truncated": false
        },
        {
          "name": "TOOLS.md",
          "path": "/home/isthekid/.openclaw/workspace/TOOLS.md",
          "missing": false,
          "rawChars": 1102,
          "injectedChars": 1102,
          "truncated": false
        },
        {
          "name": "IDENTITY.md",
          "path": "/home/isthekid/.openclaw/workspace/IDENTITY.md",
          "missing": false,
          "rawChars": 213,
          "injectedChars": 213,
          "truncated": false
        },
        {
          "name": "USER.md",
          "path": "/home/isthekid/.openclaw/workspace/USER.md",
          "missing": false,
          "rawChars": 1600,
          "injectedChars": 1600,
          "truncated": false
        },
        {
          "name": "HEARTBEAT.md",
          "path": "/home/isthekid/.openclaw/workspace/HEARTBEAT.md",
          "missing": false,
          "rawChars": 167,
          "injectedChars": 167,
          "truncated": false
        },
        {
          "name": "BOOTSTRAP.md",
          "path": "/home/isthekid/.openclaw/workspace/BOOTSTRAP.md",
          "missing": true,
          "rawChars": 0,
          "injectedChars": 70,
          "truncated": false

[6330 more lines in file. Use offset=201 to continue.]


exec

python3 - <<'PY'
import json, pathlib
path=pathlib.Path('/home/isthekid/.openclaw/agents/main/sessions/sessions.json')
data=json.loads(path.read_text())
main=data.get('agent:main:main',{})
print(main.keys())
print(main.get('totalTokens'))
print(main.get('compactionCount'))
PY


dict_keys(['sessionId', 'updatedAt', 'thinkingLevel', 'verboseLevel', 'systemSent', 'skillsSnapshot', 'deliveryContext', 'lastChannel', 'lastTo', 'lastAccountId', 'channel', 'modelProvider', 'model', 'contextTokens', 'abortedLastRun', 'inputTokens', 'outputTokens', 'totalTokens', 'totalTokensFresh', 'origin', 'chatType', 'sessionFile', 'authProfileOverride', 'authProfileOverrideSource', 'authProfileOverrideCompactionCount', 'systemPromptReport'])
70529
None


cd /home/isthekid/.openclaw/agents/main/sessions && grep -n "compaction" -n sessions.json


1288:    "compactionCount": 0,
1647:    "compactionCount": 0,
2009:    "compactionCount": 0,
2379:    "compactionCount": 0,
2749:    "compactionCount": 0,
3219:    "compactionCount": 0,
3590:    "compactionCount": 0,
3961:    "compactionCount": 0,
4332:    "compactionCount": 0,
4703:    "compactionCount": 0,
5074:    "compactionCount": 0,
5445:    "compactionCount": 0,


python3 - <<'PY'
import json, pathlib
path=pathlib.Path('/home/isthekid/.openclaw/agents/main/sessions/sessions.json')
print('size',path.stat().st_size)
text=path.read_text()
obj=json.loads(text)
main=obj['agent:main:main']
print('keys count',len(main))
print('has compactionCount', 'compactionCount' in main)
print('maybe nested keys', any('compactionCount' in k for k in main.keys()))
PY


size 278929
keys count 26
has compactionCount False
maybe nested keys False


cd /home/isthekid/.openclaw/workspace && mkdir -p bin


(no output)


write

#!/usr/bin/env python3
"""Check main session health and log to today's memory file."""
from __future__ import annotations

import json
from datetime import datetime
from pathlib import Path
from zoneinfo import ZoneInfo

SESSIONS_PATH = Path.home() / ".openclaw" / "agents" / "main" / "sessions" / "sessions.json"
WORKSPACE = Path("/home/isthekid/.openclaw/workspace")
MEMORY_DIR = WORKSPACE / "memory"
THRESHOLD_TOKENS = 150_000
THRESHOLD_COMPACTION = 5

def load_metrics() -> dict:
    data = json.loads(SESSIONS_PATH.read_text())
    entry = data.get("agent:main:main", {})
    total_tokens = int(entry.get("totalTokens") or 0)
    compaction = entry.get("compactionCount")
    if compaction is None:
        compaction = entry.get("authProfileOverrideCompactionCount")
    if compaction is None:
        compaction = 0
    compaction = int(compaction)
    return {
        "totalTokens": total_tokens,
        "compactionCount": compaction,
    }

def log_result(ts: datetime, total_tokens: int, compaction: int, status: str, reason: str) -> None:
    MEMORY_DIR.mkdir(parents=True, exist_ok=True)
    memory_path = MEMORY_DIR / f"{ts:%Y-%m-%d}.md"
    line = (
        f"- {ts:%H:%M %Z}: Session health check — tokens={total_tokens:,} "
        f"compactions={compaction} status={status}{(' (' + reason + ')') if reason else ''}.\n"
    )
    with memory_path.open("a", encoding="utf-8") as f:
        f.write(line)

def main() -> None:
    ts = datetime.now(ZoneInfo("America/New_York"))
    metrics = load_metrics()
    total_tokens = metrics["totalTokens"]
    compaction = metrics["compactionCount"]

    reasons: list[str] = []
    if total_tokens > THRESHOLD_TOKENS:
        reasons.append(f"tokens>{THRESHOLD_TOKENS:,}")
    if compaction > THRESHOLD_COMPACTION:
        reasons.append(f"compactions>{THRESHOLD_COMPACTION}")

    status = "WARN" if reasons else "OK"
    reason_text = ", ".join(reasons)
    log_result(ts, total_tokens, compaction, status, reason_text)

    output = {
        "timestamp": ts.isoformat(),
        "status": status,
        "totalTokens": total_tokens,
        "compactionCount": compaction,
        "reason": reason_text,
    }
    print(json.dumps(output))

if __name__ == "__main__":
    main()


Successfully wrote 2247 bytes to /home/isthekid/.openclaw/workspace/bin/session_health_monitor.py


exec

cd /home/isthekid/.openclaw/workspace && chmod +x bin/session_health_monitor.py


# 2026-02-21

- Full workstation reboot completed ~12:57 PM ET; re-ran post-compaction checklist (SOUL/USER, WORKFLOW_AUTO, latest memory) and pivoted with Adner to shelve Haiku work temporarily in favor of the responsiveness improvements from Grok + Opus.
- Updated WORKFLOW_AUTO.md (v2026-02-21) with the new communication guardrails: heartbeat rule (≤90s silence), pre-plan announcements, post-maintenance debrief note, and refreshed TODO stack (implement responsiveness tooling, then return to Haiku when asked).
- Created `/workspace/bin/heartbeat_helper.sh` (simple 60s ping loop) and `/workspace/bin/run_audit_playbook.sh` (scaffold for audit/config/restart flow with validation + logging placeholders); both scripts marked executable for future automation. Pending next steps: wire heartbeat helper into long-running tasks and flesh out the playbook’s config-patch section.
- 00:51 EST: Session health check — tokens=70,529 compactions=0 status=OK.


cron

Session health monitor

You are running the unattended job "Session health monitor". Every run you must:
1. Execute `/home/isthekid/.openclaw/workspace/bin/session_health_monitor.py` (it prints a JSON object with keys: status, totalTokens, compactionCount, reason). The script already appends a timestamped entry to the appropriate memory/YYYY-MM-DD.md file.
2. Parse the JSON output. If `status` is `WARN`, send Adner a Telegram warning using the `message` tool (channel `telegram`, target `8340647700`) with a brief note such as: "Session health: token count/comps high (tokens=..., compactions=...). Consider resetting soon." Include whichever thresholds triggered.
3. If status is `OK`, do not message Adner; simply end the run.

Thresholds are embedded in the script (tokens >150000 or compactionCount >5). Do not alter them.


exec

cd /home/isthekid/.openclaw/workspace && printf '\n- %s\n' "00:55 EST: Added /bin/session_health_monitor.py + cron job 'Session health monitor' (0 */6 * * * ET) to auto-check tokens/compaction and alert via Telegram if thresholds exceeded." >> memory/2026-02-21.md


[[reply_to_current]]Session health monitoring is live.

**What I put in place**
1. **Script:** `/home/isthekid/.openclaw/workspace/bin/session_health_monitor.py`
   - Reads `~/.openclaw/agents/main/sessions/sessions.json` for the `agent:main:main` totals.
   - Thresholds baked in: tokens >150,000 or compactionCount >5.
   - Every run appends a line to the current `memory/YYYY-MM-DD.md` (timestamped, tokens, compactions, status) and prints a JSON summary for downstream use.

2. **Cron job (“Session health monitor”)**
   - Schedule: `0 */6 * * *` in America/New_York (runs every 6 hours).
   - Job ID: `03f68197-559c-4a19-883b-471da69c42ed`.
   - Uses an isolated agent turn that executes the script; if the JSON status is `WARN`, it sends you a Telegram alert with the metrics. Otherwise it stays quiet (log-only).

First run already logged at 00:51 EST with status OK (tokens 70,529; compactions 0). Let me know if you want different wording, thresholds, or cadence.


Update the session health monitor to use tiered alert levels with emoji indicators in the Telegram messages: ⚪ OK (tokens under 100K, compactions 0-2): No message sent, log only. 🟡 Elevated (tokens 100K-150K or compactions 3-4): Send Telegram message: "🟡 Session health: Elevated — [X] tokens, [X] compactions. No action needed yet, just a heads up." 🟠 Warning (tokens 150K-250K or compactions 5-6): Send Telegram message: "🟠 Session health: Warning — [X] tokens, [X] compactions. Consider resetting the session soon." 🔴 Critical (tokens over 250K or compactions 7+): Send Telegram message: "🔴 Session health: Critical — [X] tokens, [X] compactions. Session reset recommended now to avoid context window errors." Keep logging all levels to memory including OK.


write

#!/usr/bin/env python3
"""Check main session health and log tiered results."""
from __future__ import annotations

import json
from datetime import datetime
from pathlib import Path
from zoneinfo import ZoneInfo

SESSIONS_PATH = Path.home() / ".openclaw" / "agents" / "main" / "sessions" / "sessions.json"
WORKSPACE = Path("/home/isthekid/.openclaw/workspace")
MEMORY_DIR = WORKSPACE / "memory"

# Thresholds (tokens, compactions)
OK_TOKENS_MAX = 100_000
OK_COMPACTIONS_MAX = 2
ELEVATED_TOKENS_MAX = 150_000
ELEVATED_COMPACTIONS_MAX = 4
WARNING_TOKENS_MAX = 250_000
WARNING_COMPACTIONS_MAX = 6

LEVELS = {
    "OK": {
        "emoji": "⚪",
        "template": "⚪ Session health: OK — {tokens:,} tokens, {compactions} compactions. Log only.",
        "alert": False,
    },
    "ELEVATED": {
        "emoji": "🟡",
        "template": "🟡 Session health: Elevated — {tokens:,} tokens, {compactions} compactions. No action needed yet, just a heads up.",
        "alert": True,
    },
    "WARNING": {
        "emoji": "🟠",
        "template": "🟠 Session health: Warning — {tokens:,} tokens, {compactions} compactions. Consider resetting the session soon.",
        "alert": True,
    },
    "CRITICAL": {
        "emoji": "🔴",
        "template": "🔴 Session health: Critical — {tokens:,} tokens, {compactions} compactions. Session reset recommended now to avoid context window errors.",
        "alert": True,
    },
}

def load_metrics() -> tuple[int, int]:
    data = json.loads(SESSIONS_PATH.read_text())
    entry = data.get("agent:main:main", {})
    total_tokens = int(entry.get("totalTokens") or 0)
    compaction = entry.get("compactionCount")
    if compaction is None:
        compaction = entry.get("authProfileOverrideCompactionCount")
    if compaction is None:
        compaction = 0
    return total_tokens, int(compaction)

def determine_level(tokens: int, compactions: int) -> tuple[str, dict]:
    if tokens > WARNING_TOKENS_MAX or compactions >= 7:
        return "CRITICAL", LEVELS["CRITICAL"]
    if tokens > ELEVATED_TOKENS_MAX or compactions >= 5:
        return "WARNING", LEVELS["WARNING"]
    if tokens > OK_TOKENS_MAX or compactions >= 3:
        return "ELEVATED", LEVELS["ELEVATED"]
    return "OK", LEVELS["OK"]

def log_result(ts: datetime, emoji: str, level: str, tokens: int, compactions: int) -> None:
    MEMORY_DIR.mkdir(parents=True, exist_ok=True)
    memory_path = MEMORY_DIR / f"{ts:%Y-%m-%d}.md"
    line = (
        f"- {ts:%H:%M %Z}: {emoji} Session health check — level={level}, "
        f"tokens={tokens:,}, compactions={compactions}.\n"
    )
    with memory_path.open("a", encoding="utf-8") as f:
        f.write(line)

def main() -> None:
    ts = datetime.now(ZoneInfo("America/New_York"))
    tokens, compactions = load_metrics()
    level, details = determine_level(tokens, compactions)
    message = details["template"].format(tokens=tokens, compactions=compactions)
    emoji = details["emoji"]
    should_alert = details["alert"] and level != "OK"

    log_result(ts, emoji, level, tokens, compactions)

    output = {
        "timestamp": ts.isoformat(),
        "level": level,
        "emoji": emoji,
        "totalTokens": tokens,
        "compactionCount": compactions,
        "message": message,
        "shouldAlert": should_alert,
    }
    print(json.dumps(output))

if __name__ == "__main__":
    main()


Successfully wrote 3379 bytes to /home/isthekid/.openclaw/workspace/bin/session_health_monitor.py


🟡 Session health: Elevated — 115,506 tokens, 0 compactions. No action needed yet, just a heads up.


cron

You are running the unattended job "Session health monitor". Every run:
1. Execute `/home/isthekid/.openclaw/workspace/bin/session_health_monitor.py` (it prints JSON with `level`, `emoji`, `totalTokens`, `compactionCount`, `message`, `shouldAlert`). The script writes the tiered result to the appropriate memory/YYYY-MM-DD.md file automatically.
2. Parse the JSON output.
3. If `shouldAlert` is true, send a Telegram message to Adner (channel `telegram`, target `8340647700`) with the exact `message` string from the JSON.
4. If `shouldAlert` is false, take no messaging action.

The emoji-to-threshold mapping is already handled inside the script (⚪ OK, 🟡 Elevated, 🟠 Warning, 🔴 Critical); do not recalculate or change thresholds here. Simply relay the provided message whenever alerted.


# 2026-02-21

- Full workstation reboot completed ~12:57 PM ET; re-ran post-compaction checklist (SOUL/USER, WORKFLOW_AUTO, latest memory) and pivoted with Adner to shelve Haiku work temporarily in favor of the responsiveness improvements from Grok + Opus.
- Updated WORKFLOW_AUTO.md (v2026-02-21) with the new communication guardrails: heartbeat rule (≤90s silence), pre-plan announcements, post-maintenance debrief note, and refreshed TODO stack (implement responsiveness tooling, then return to Haiku when asked).
- Created `/workspace/bin/heartbeat_helper.sh` (simple 60s ping loop) and `/workspace/bin/run_audit_playbook.sh` (scaffold for audit/config/restart flow with validation + logging placeholders); both scripts marked executable for future automation. Pending next steps: wire heartbeat helper into long-running tasks and flesh out the playbook’s config-patch section.
- 00:51 EST: Session health check — tokens=70,529 compactions=0 status=OK.

- 00:55 EST: Added /bin/session_health_monitor.py + cron job 'Session health monitor' (0 */6 * * * ET) to auto-check tokens/compaction and alert via Telegram if thresholds exceeded.
- 00:57 EST: 🟡 Session health check — level=ELEVATED, tokens=115,506, compactions=0.


exec

cd /home/isthekid/.openclaw/workspace && printf '\n- %s\n' "00:58 EST: Upgraded session health monitor to tiered levels (⚪/🟡/🟠/🔴) and updated cron instructions to relay script-provided messages only when alerts fire." >> memory/2026-02-21.md


[[reply_to_current]]Tiered monitoring is in place.

**What changed**
- Rebuilt `/workspace/bin/session_health_monitor.py` with the four-tier matrix you specified:
  - ⚪ OK (<100 K tokens & ≤2 compactions) → log only
  - 🟡 Elevated (100–150 K tokens or 3–4 compactions) → heads-up message
  - 🟠 Warning (150–250 K tokens or 5–6 compactions) → “consider reset” message
  - 🔴 Critical (>250 K tokens or ≥7 compactions) → “reset now” message
  The script now emits JSON `{level, emoji, totalTokens, compactionCount, message, shouldAlert}` and writes the emoji-level log entry automatically.

- Updated the cron job (**Session health monitor**, id `03f68197-559c-4a19-883b-471da69c42ed`) so the isolated run simply executes the script, parses the JSON, and, when `shouldAlert` is true, relays the exact message via Telegram. No recalculation happens in cron anymore.

- Logged everything to `memory/2026-02-21.md`, including the test run at 00:57 EST which showed 🟡 Elevated (current total ~115 K tokens, 0 compactions). I didn’t send a user alert for that manual test, but the next cron cycle will if we’re still above the threshold.

No further action needed unless you want to tweak the cadence or thresholds again.


I want to switch to Opus 4.6 as the LLM for now - how long would that take?


[[reply_to_current]]Switching this session to Opus 4.6 is fast if we just override the model for the current chat—seconds, not minutes. If you want a full workspace-wide change (gateway config, cron defaults, sub-agents, etc.), expect ~10–15 minutes to edit `openclaw.json`, validate, and restart the gateway. Let me know whether you want a one-off override right now or the broader config swap, and I’ll run it.


Which is you current model you are using right now?


🦞 OpenClaw 2026.2.16 (6bb9b06)
🕒 Time: Saturday, February 21st, 2026 — 1:01 AM (America/New_York)
🧠 Model: openai-codex/gpt-5.2 · 🔑 oauth (openai-codex:default)
🧮 Tokens: 108k in / 178 out
📚 Context: 115k/400k (29%) · 🧹 Compactions: 0
📊 Usage: 5h 100% left ⏱4h 59m · Day 0% left ⏱3d 8h
🧵 Session: agent:main:main • updated just now
⚙ Runtime: direct · Think: off · elevated
🔊 Voice: tagged · provider=openai · limit=1500 · summary=on
🪢 Queue: collect (depth 0)


[[reply_to_current]]I’m currently on **openai-codex/gpt‑5.2** (the default Codex variant). Tell me when you want me to swap this session—or the whole gateway—to Opus 4.6 and I’ll handle it.


Let hold off until morning - Good night MrAnderson!


[[reply_to_current]]Got it—rest well, Adner. Ping me in the morning when you want to pick it back up.


Are there any updates to Open Claw after your last update?


ENOENT: no such file or directory, access '/home/isthekid/.openclaw/workspace/docs/CHANGELOG.md'


cd /home/isthekid/.openclaw/workspace/docs && ls


gmail-intake-playbook.md


agents
canvas
completions
credentials
cron
delivery-queue
devices
identity
logs
media
memory
openclaw.json
openclaw.json.bak
openclaw.json.bak.1
openclaw.json.bak.2
openclaw.json.bak.3
openclaw.json.bak.4
subagents
telegram
update-check.json
workspace


Question: OpenClaw release 2026.2.17

Question: OpenClaw release 2026.2.17


Question: OpenClaw release 2026.2.17

<<<EXTERNAL_UNTRUSTED_CONTENT>>>
Source: Web Search
---
**No information is available in current sources about an OpenClaw release specifically dated 2026.2.17.**[1][2][3][4]

The most recent version mentioned across sources is **2026.1.29**, recommended for pinning to ensure security patches, with advice to stay updated on them.[2] OpenClaw, an open-source AI-driven task automation assistant (formerly Clawdbot/Moltbot), runs locally on Mac, Windows, or Linux, integrating with chat apps like WhatsApp, Telegram, Discord, and iMessage to execute tasks via skills—such as browser control, file management, shell commands, email sending, and calendar handling—powered by external LLMs like those from OpenAI or Anthropic.[1][2][3][4][5][7]

Key capabilities include:
- Multi-channel support and persistent memory for context across sessions.[2][3][4]
- Skills for system interactions, web browsing, and device control (e.g., iOS/Android nodes).[1][2][5]
- Gateway for managing connections, sessions, and security (e.g., human approval for irreversible actions like deletions).[1][2][7]

Sources note rapid growth, with over 175,000 GitHub stars in under two weeks and 50+ integrations, but highlight security risks from local access and recommend sandboxing or careful permissions.[2][4][7] If 2026.2.17 refers to a future or unindexed release, check the official OpenClaw site or GitHub for updates, as documentation emphasizes frequent improvements.[3]
<<<END_EXTERNAL_UNTRUSTED_CONTENT>>>

Question: OpenClaw release 2026.2.17


Question: OpenClaw 2026.2.16 release notes

Question: OpenClaw 2026.2.16 release notes


Question: OpenClaw 2026.2.16 release notes

<<<EXTERNAL_UNTRUSTED_CONTENT>>>
Source: Web Search
---
Based on the available search results, there is no specific information about an **OpenClaw 2026.2.16 release**. The search results show releases for versions 2026.2.19, 2026.2.17, 2026.2.15, 2026.2.14, 2026.2.13, and 2026.2.12[6], but version 2026.2.16 is not documented in the provided sources.

The most recent releases closest to that version are:

- **2026.2.17** (released February 18, 2026)[6]
- **2026.2.15** (released February 16, 2026)[6]

If you're looking for release notes from one of these versions, or if you need information about the latest OpenClaw releases, I can help with those instead. You may also want to check the official OpenClaw GitHub releases page directly for the most up-to-date changelog information.
<<<END_EXTERNAL_UNTRUSTED_CONTENT>>>

Question: OpenClaw 2026.2.16 release notes