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Agent Skills/NVIDIA Dynamo router starter
NVIDIABackendSKILL.mdVerified source

Agent Skill

NVIDIA Dynamo router starter

Start or patch Dynamo router modes and run endpoint smoke checks.

Install this skillView repository

Vendor-authored source · Apache-2.0 AND CC-BY-4.0 license.

Raw SKILL.mdInstall the Tokens& Agent Pack

Skill specification

Declared by NVIDIA in the package front matter. Trigger conditions are what the coding agent matches on before it loads the skill.

View package fields
NVIDIA Dynamo router starter SKILL.md front matter fields
Skill namedynamo-router-starter
Trigger conditionsStart 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.
Declared licenseApache-2.0

Install dynamo-router-starter

In a terminal with Node.js, npm and Git, run the command for your agent. The Skills CLI installs the complete package directory, including referenced files within it. Review its install prompt, then start a new agent session. A skill package does not set up an MCP server connection.

Claude Code

.claude/skills/dynamo-router-starter/SKILL.md

Project skills are committed with the repo. Use the user directory for a personal install across every project.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'claude-code'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'claude-code' --global

Codex

.agents/skills/dynamo-router-starter/SKILL.md

Codex reads `.agents/skills/` as its primary location, which is also the cross-platform default other clients honour.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'codex'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'codex' --global

Cursor

.agents/skills/dynamo-router-starter/SKILL.md

Cursor also loads `.agents/skills/`, `.claude/skills/`, and `.codex/skills/`, so one committed copy can serve several clients.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'cursor'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'cursor' --global

Gemini CLI

.agents/skills/dynamo-router-starter/SKILL.md

Gemini CLI reads `.agents/skills/` first when both directories exist.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'gemini-cli'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter' --skill 'dynamo-router-starter' --agent 'gemini-cli' --global

SKILL.md

View raw source

Published by NVIDIA under Apache-2.0 AND CC-BY-4.0. Rendered from the package in github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter.

Read full skill instructions

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.

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