본문으로 건너뛰기
cccskills
무료GitHub에 공개

dynamo-router-starter

Configure how Dynamo routes requests to workers, then check model discovery and a chat response. Supports local and Kubernetes setups, including routing based on cached model data, with clear commands, results, and limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.

연동 도구Kubernetes
설치 방법 보기

이럴 때 유용합니다

  • Start a local Dynamo frontend
  • Change routing settings on Kubernetes
  • Check model discovery and a chat response
  • Try KV routing without worker cache events

포함된 파일(8)

  • SKILL.md5.6 KB
  • agents/openai.yaml303 B
  • BENCHMARK.md2.6 KB
  • evals/evals.json3.0 KB
  • references/router-modes.md2.1 KB
  • scripts/check_router_health.py4.7 KB
  • skill-card.md2.4 KB
  • skill.oms.sig5.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Dynamo Router Starter

<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: CC-BY-4.0 -->

Purpose

Make Dynamo routing feel easy by getting a baseline router mode running, enabling KV-aware routing when appropriate, and proving the endpoint works. Keep the user focused on exact commands and success signals, not router internals.

Prerequisites

  • Python 3.10+ with the dynamo package importable (python3 -m dynamo.frontend --help works).
  • For Kubernetes runs: kubectl configured with access to the target namespace and a deployed Dynamo recipe.
  • Network reachability to the frontend service (port-forward or direct).
  • A model already loaded into at least one worker (/v1/models returns at least one entry).

Required Inputs

Collect or infer:

  • local Python/CLI or Kubernetes recipe path
  • desired mode: round-robin, kv, least-loaded, device-aware-weighted, direct, or random
  • frontend port or Kubernetes frontend service
  • whether workers publish KV events; if not, use approximate KV mode
  • model name for smoke requests, if /v1/models cannot discover it

Instructions

1. Establish A Baseline

For local bring-up with already registered workers:

python3 -m dynamo.frontend --router-mode round-robin --http-port 8000

For Kubernetes, inspect the selected recipe deploy.yaml and locate the frontend service. If the recipe is not already deployed, use dynamo-recipe-runner first.

2. Enable KV Routing

For local frontend:

python3 -m dynamo.frontend --router-mode kv --http-port 8000

For Kubernetes, patch only the frontend service env:

envs:
  - name: DYN_ROUTER_MODE
    value: kv

If backend workers are not publishing KV cache events, set approximate mode instead of leaving the router waiting for events:

envs:
  - name: DYN_ROUTER_USE_KV_EVENTS
    value: "false"

3. Smoke Test

After port-forwarding the frontend service or starting local frontend, run:

python3 scripts/check_router_health.py \
  --base-url http://127.0.0.1:8000

This must verify /v1/models and, when a model is discoverable, one /v1/chat/completions request.

4. Compare Modes Carefully

When comparing round-robin vs KV routing:

  • use the same model, workers, prompt set, concurrency, and sampling settings
  • send repeated-prefix prompts if demonstrating KV reuse
  • label the result as a smoke comparison unless enough benchmark samples were collected
  • do not claim throughput improvement from a single chat request

If the endpoint is unhealthy or workers are missing, switch to dynamo-troubleshoot.

Available Scripts

ScriptPurposeArguments
scripts/check_router_health.pySmoke-test /v1/models and one chat completion against a Dynamo frontend--base-url, --retries, --timeout

Invoke via the agentskills.io run_script() protocol:

run_script("scripts/check_router_health.py", args=["--base-url", "http://127.0.0.1:8000"])

Examples

Local KV-routed frontend on port 8000, then smoke-test it:

python3 -m dynamo.frontend --router-mode kv --http-port 8000 &
python3 scripts/check_router_health.py --base-url http://127.0.0.1:8000

Kubernetes-deployed frontend reachable via port-forward:

kubectl port-forward svc/qwen-vllm-disagg-frontend 8000:8000 -n dynamo-demo &
python3 scripts/check_router_health.py --base-url http://127.0.0.1:8000 --retries 3

Equivalent through the agent protocol:

run_script("scripts/check_router_health.py", args=["--base-url", "http://127.0.0.1:8000", "--retries", "3"])

Output Contract

Return:

  • mode selected and why
  • local command or Kubernetes env patch
  • frontend service or URL
  • smoke-test result
  • any limitation, such as approximate KV mode or missing worker KV events
  • next command to run for a fuller comparison

Limitations

  • Smoke test is one chat completion; it is not a benchmark. Use dynamo-benchmark for throughput/latency numbers.
  • KV-aware mode without worker KV-event publication degrades to approximate mode; this skill flags but does not fix the underlying worker config.
  • Mode comparisons require matched workloads; cross-mode latency claims need separate benchmark runs.

Troubleshooting

SymptomLikely causeNext step
/v1/models returns empty listNo worker registered with the frontendVerify worker pods are Ready; confirm they connect to the same etcd/NATS
Smoke chat request times outFrontend up, workers not servingSwitch to dynamo-troubleshoot; inspect worker logs
KV mode hangsWorkers do not publish KV cache eventsSet DYN_ROUTER_USE_KV_EVENTS=false (approximate mode)
Connection refused on port-forwardPort-forward dropped or wrong service nameRe-run port-forward; verify the frontend service name matches the recipe

Benchmark

See BENCHMARK.md for the NVCARPS-EVAL performance report (auto-generated by the NVSkills CI pipeline). To refresh, re-run /nvskills-ci on an upstream PR touching this skill.

References

  • Read references/router-modes.md for the compact mode/env map.
  • Use scripts/check_router_health.py for endpoint smoke tests.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Review charts, diagrams, and dashboards for accessibility, including color contrast, keyboard access, and text alternatives. Get specific guidance for preserving key findings in screen readers, static exports, and reduced-motion views.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing dashboard colors and keyboard access
  • Writing chart alt text and long descriptions
  • Preparing accessible figures for PDF reports
openai/plugins7.5천2026년 10월 8일 업데이트

Give a photo collection a consistent look using Adobe tools to adjust color, tone, presets, and optional crops. Review a before-and-after sample before processing the full set, then receive links to the edited images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Giving travel photos a consistent look
  • Unifying photos taken in mixed lighting
  • Applying a warm or cinematic style across a photo set
openai/plugins7.5천2026년 10월 8일 업데이트

Visualize a logo, sketch, or design on products such as mugs, shirts, and business cards. Review a pilot image, generate a visually consistent set, and collect the results on a shareable Firefly Board.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preview a logo on mugs and shirts
  • Turn a hand-drawn sketch into product mockups
  • Create consistent brand presentation images
openai/plugins7.5천2026년 10월 8일 업데이트

Prepare images and videos for social platforms using Adobe tools. Create image crops that keep the subject in view, expand backgrounds when available, preview a full-set sample, and resize videos while preserving their aspect ratio.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating image variants for multiple social platforms
  • Cropping photos for Instagram Stories
  • Preparing LinkedIn images and YouTube thumbnails
openai/plugins7.5천2026년 10월 8일 업데이트

Create flyers, social posts, business cards, and other visuals from Adobe Express templates. Choose a template, customize its text and background color, and receive a design link, with additional editing and export options depending on the available tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating an event flyer
  • Designing an Instagram post
  • Customizing business card text and colors
openai/plugins7.5천2026년 10월 8일 업데이트

Turn an uploaded video into three highlight edits with Adobe Quick Cut. Choose a target length and style, then compare versions that feature different moments and download the ones you prefer.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a short highlight video for social media
  • Condensing interview footage into a highlight reel
  • Comparing three edits with different moment selections
openai/plugins7.5천2026년 10월 8일 업데이트

openai의 스킬 모두 보기

이 스킬의 문제 신고