monitor

par nvidia

Surveiller les tâches soumises (PTQ, évaluation, déploiement) sur les clusters SLURM. Utiliser lorsque l'utilisateur demande « vérifier l'état de la tâche », « ma tâche est-elle terminée », « surveiller mon évaluation »,…

npx skills add https://github.com/nvidia/model-optimizer --skill monitor

Job Monitor

Monitor jobs submitted to SLURM clusters — PTQ quantization, NEL evaluation, model deployment, or raw SLURM jobs.

When to use

  1. Auto-monitor — another skill (PTQ, evaluation, deployment) just submitted a job. Register the job and set up monitoring immediately.
  2. User-initiated — user asks about a job status. Check the current session registry first; if the job is not registered there, use the discovery steps below.

Job Registry

Active jobs are tracked in per-session registries under .claude/agents/. This avoids multiple agents clobbering one shared registry when they run at the same time.

Use the current agent session id as <session_id>:

  • Claude Code: $CLAUDE_CODE_SESSION_ID, or the session_id field from hook input
  • Codex: $CODEX_THREAD_ID
  • If no session id is available, create a stable id for the current terminal session and reuse it for every job registered by that agent

Registry layout:

.claude/agents/
  <session_id>/
    active_jobs.json

Each session's active_jobs.json is a JSON array:

[
  {
    "type": "nel",
    "id": "<invocation_id or slurm_job_id>",
    "host": "<cluster_hostname>",
    "user": "<ssh_user>",
    "submitted": "YYYY-MM-DD HH:MM",
    "description": "<what this job does>",
    "last_status": "<last known status>",
    "owner": {
      "agent": "claude-code|codex|manual",
      "session_id": "<session_id>"
    }
  }
]

type is one of: nel, slurm, launcher.


On Job Submission

Every time a job is submitted (by any skill or manually):

  1. Add an entry to .claude/agents/<session_id>/active_jobs.json. Create the session directory and file if they don't exist.
  2. Start a durable monitor (if one isn't already watching the registry) that polls this session's registered jobs until they reach terminal status. Prefer the Claude Code Monitor tool when it is available: write a small watcher that reads .claude/agents/<session_id>/active_jobs.json, checks every job with the appropriate method below, prints state-change events, updates last_status, removes terminal jobs from the session registry, and exits when no active jobs remain for this session.

The monitor should terminate naturally when every registered job has reached a terminal state. If the Monitor tool is not available in the current harness, run an equivalent background process that implements the same loop and lets the agent resume/restart when the process exits.

Always do both steps. Don't try to predict job duration.


On Monitor Event / Status Check

Whether triggered by monitor output or by the user asking "check status":

  1. Read the registry from .claude/agents/<session_id>/active_jobs.json
  2. Check each job using the appropriate method (see below)
  3. Report only state changes — compare against last_status in registry
  4. Update last_status in the session registry
  5. Remove completed jobs — any job in a terminal state (COMPLETED, FAILED, CANCELLED, KILLED, TIMEOUT, NODE_FAIL, OUT_OF_MEMORY, PREEMPTED, BOOT_FAIL, DEADLINE)
  6. If no active jobs remain — let the monitor exit

How to Check Each Job Type

Each check method has its own status vocabulary. A watcher that mixes them (e.g. uses SLURM's COMPLETED terminal-state regex against nel status output) will silently never fire terminal transitions. Always match against the vocabulary of the source you're polling.

NEL jobs (type: nel)

  • Check: nel status <id>.
extract_nel_state() {
  local jid="$1" nel_bin="${NEL:-nel}" output state_col
  output=$("$nel_bin" status "$jid" 2>&1)
  state_col=$(echo "$output" \
    | awk -F'|' -v prefix="$jid." 'index($1, prefix) == 1 { print $2; exit }')
  [ -z "$state_col" ] && state_col="$output"
  echo "$state_col" \
    | LC_ALL=C tr '[:lower:]' '[:upper:]' \
    | awk 'match($0, /(PENDING|RUNNING|SUCCESS|FAILED|KILLED|ERROR|NOT[[:space:]]+FOUND)/) { print substr($0, RSTART, RLENGTH); exit }' \
    | sed 's/[[:space:]][[:space:]]*/ /g'
}

is_nel_terminal() {
  case "$(extract_nel_state "$1")" in
    SUCCESS|FAILED|KILLED|ERROR|"NOT FOUND") return 0 ;;
    *) return 1 ;;
  esac
}
  • On completion: nel info <id> to fetch results.
  • On failure: nel info <id> --logs then inspect server/client/SLURM logs via SSH.

Launcher jobs (type: launcher)

  • Check: Tail the launcher's background output file for key events.
  • Key events: experiment ID, SLURM job ID, container import, calibration progress, export path, final status.
  • On failure: Look for Traceback, Error, or FAILED in the output.

Raw SLURM jobs (type: slurm)

  • Check: sacct; use sacct for the termination check because squeue can lag in COMPLETING after sacct reports a terminal state.
extract_slurm_state() {
  local jid="$1" host="$2"
  ssh "$host" "sacct -j $jid -X --format=State --noheader -P 2>/dev/null | head -1" \
    | sed 's/^[[:space:]]*//;s/[[:space:]]*$//' \
    | sed 's/^CANCELLED by .*/CANCELLED/'
}

is_slurm_terminal() {
  case "$(extract_slurm_state "$1" "$2")" in
    COMPLETED|FAILED|CANCELLED|TIMEOUT|NODE_FAIL|OUT_OF_MEMORY|PREEMPTED|BOOT_FAIL|DEADLINE) return 0 ;;
    *) return 1 ;;
  esac
}
  • On completion: ssh <host> "sacct -j <id> --format=State,ExitCode,Elapsed -n".
  • On failure: Check the job's output log file.

Identifying Jobs (user-initiated, no ID given)

When the user asks about a job without specifying an ID, check in order:

  1. .claude/agents/<current_session_id>/active_jobs.json — current agent's jobs
  2. nel ls runs --since 1d — recent NEL runs
  3. ssh <host> "squeue -u <user>" — active SLURM jobs
  4. ls -lt tools/launcher/experiments/cicd/ | head -10 — recent launcher experiments

Reporting Guidelines

  • Report state changes proactively — PENDING → RUNNING, or job completes
  • Aggregate multiple jobs — "2 of 4 completed (MMLU-Pro: 42.3%, GSM8K: 67.1%), 1 running, 1 pending"
  • Summarize, don't echo — interpret events ("Calibration complete, exporting checkpoint") not raw logs
  • On failure, diagnose immediately — check logs and report root cause without waiting for user to ask
  • Minimize noise — don't report "still running" unless the user is actively asking

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