## Turn 1

Agent planning a safe remediation run on a remote model server.
Restore reliable benchmark execution without losing data.
192.168.1.116.
`/models/flight-recorder/app` (code), `/models/flight-recorder/data` (SQLite DB).
SQLite.
Server may be busy.
Non-destructive inspection and redeploys are okay; destructive deletes need approval.

        *   # Mission
        *   # Read-Only Inspection
        *   # Health Checks
        *   # Data Safety Checks
        *   # Redeploy Procedure
        *   # Benchmark Restart Procedure
        *   # Human Approval Gates
        *   # Stop Conditions
        *   # Recovery Commands
        *   # Summary
Roughly 5,500 tokens (meaning high detail, comprehensive explanations, and extensive command examples).
Do not propose deleting the data directory. Label commands requiring approval.

    *   *Mission:* High-level goal. Restore stability, ensure data integrity, restart benchmarks.
    *   *Read-Only Inspection:* SSH, checking logs, checking process lists, checking disk space, checking SQLite file size/integrity.
    *   *Health Checks:* CPU/RAM usage, network connectivity, port listening (netstat/ss), service status (systemd/pm2/docker).
    *   *Data Safety Checks:* Backing up the SQLite DB before any changes. Checking for corruption.
    *   *Redeploy Procedure:* Pulling latest code, installing dependencies, restarting the service.
    *   *Benchmark Restart Procedure:* Triggering the benchmark suite, monitoring logs in real-time.
    *   *Human Approval Gates:* When to stop and ask for permission (e.g., before modifying DB, before restarting a production-like service).
    *   *Stop Conditions:* When to abort (e.g., disk full, critical error, unexpected data loss).
    *   *Recovery Commands:* How to roll back to a previous state.
    *   *Summary:* Final wrap-up.

    *   *Expansion Strategy:* Instead of just saying "Check logs," I will provide specific `tail`, `grep`, and `journalctl` commands. I will explain *why* each step is taken. I will create a step-by-step checklist. I will include "What to look for" sections for each inspection.

    *   *Mission:* Define the scope. Focus on "Flight Recorder" app.
    *   *Read-Only Inspection:*
        *   SSH access.
        *   `ls -R` for directory structure.
        *   `df -h` for disk space.
        *   `top`/`htop` for load.
        *   `ps aux | grep flight-recorder` to see if it's running.
        *   `tail -n 100 /models/flight-recorder/app/logs/app.log` (hypothetical path).
    *   *Health Checks:*
        *   `curl -I http://192.168.1.116:PORT/health` (assuming a health endpoint).
        *   `netstat -tulpn` to see if the port is bound.
        *   Checking for zombie processes.
    *   *Data Safety Checks:*
        *   `cp /models/flight-recorder/data/database.sqlite /models/flight-recorder/data/database.sqlite.bak`.
        *   `sqlite3 /models/flight-recorder/data/database.sqlite "PRAGMA integrity_check;"`.
        *   Checking file permissions.
    *   *Redeploy Procedure:*
        *   Stop service.
        *   `git pull` or `rsync`.
        *   `pip install -r requirements.txt` (if Python).
        *   Restart service.
    *   *Benchmark Restart:*
        *   Running the script: `python /models/flight-recorder/app/run_benchmark.py`.
        *   Monitoring output.
    *   *Approval Gates:*
        *   Gate 1: After inspection, before backup/restart.
        *   Gate 2: Before any destructive change (though we aren't deleting data, we might be clearing a cache).
    *   *Stop Conditions:*
        *   Kernel panic.
        *   Disk space < 1%.
        *   Database corruption that cannot be fixed by backup.
    *   *Recovery:*
        *   Restoring the `.bak` file.
        *   Reverting git commits.

    *   *Self-Correction during drafting:* I need to make sure I don't just list commands but provide a *narrative* of the agent's reasoning. I must ensure the token count is high by being extremely thorough. I will add "Expected Outcomes" and "Failure Modes" for every section.

    *   *Detailed Command Examples:*
        *   Instead of `ls`, use `ls -la /models/flight-recorder/app`.
        *   Instead of `top`, use `top -b -n 1 | head -n 20`.
        *   Add specific SQLite queries to check the state of the benchmark table.