monitor

bởi nvidia

Giám sát các công việc đã gửi (PTQ, đánh giá, triển khai) trên cụm SLURM. Sử dụng khi người dùng yêu cầu "kiểm tra trạng thái công việc", "công việc của tôi đã xong chưa", "giám sát đánh giá của tôi",…

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

Thêm skills từ nvidia

fhir-basics
nvidia
Dạy các tác nhân cách hoạt động của API FHIR R4, những tài nguyên có sẵn, cách truy vấn chúng với tham số tìm kiếm, và cách phân tích chính xác tất cả các định dạng phản hồi…
compileiq-validate-result
nvidia
Sử dụng SAU KHI tìm kiếm hoàn tất và TRƯỚC KHI yêu cầu tăng tốc hoặc gửi ACF. Tải tệp CSV dump_results, trích xuất các ứng viên top-K (đơn mục tiêu)…
changelog-audit
nvidia
Kiểm tra Warp CHANGELOG.md trước khi phát hành: khôi phục các mục bị mất, sắp xếp theo tác động người dùng, tinh chỉnh ngôn ngữ mục, xuống dòng và (chế độ nhánh phát hành) so sánh bump…
dgx-diagnose
nvidia
Chẩn đoán các sự cố thường gặp của DGX Station GB300 — lỗi CUDA, nhắm sai GPU, lỗi container vLLM/SGLang, vấn đề trạng thái MIG, lỗi NVLink/Fabric Manager,…
aicr-managing-openvex
nvidia
Use when adding, updating, or removing CVE/GHSA suppressions in `.openvex.json` — the OpenVEX document consumed by the daily image vulnerability scan workflow.…
aicr-creating-slide-decks
nvidia
Sử dụng khi xây dựng một bộ trình chiếu HTML độc lập hoặc điểm trình bày trực quan cho một khái niệm kỹ thuật hoặc quy trình làm việc (ví dụ: demos/*.html) — hiển thị toàn màn hình hoặc…
aicr-creating-guided-demos
nvidia
Tạo khung kịch bản demo có hướng dẫn tương tác (demos/*.sh), trực tiếp hoặc tự học, theo mẫu Frame → Tell → Show → Close. Kích hoạt khi có "demo script", "guided…
aicr-analyzing-snapshots
nvidia
Sử dụng khi phân tích tệp YAML snapshot AICR, xem xét trạng thái cụm, so sánh đặc điểm nhà cung cấp, trích xuất thông tin chi tiết về cấu trúc liên kết GPU/mạng, hoặc…