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Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.\nlicense: Apache-2.0\nmetadata:\n  author: Dan Gil \u003Cdagil@nvidia.com>\n  tags:\n    - dynamo\n    - router\n    - smoke-test\n    - bring-up\n---\n\n# Dynamo Router Starter\n\n\u003C!--\nSPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.\nSPDX-License-Identifier: CC-BY-4.0\n-->\n\n## Purpose\n\nMake Dynamo routing feel easy by getting a baseline router mode running, enabling\nKV-aware routing when appropriate, and proving the endpoint works. Keep the user\nfocused on exact commands and success signals, not router internals.\n\n## Prerequisites\n\n- Python 3.10+ with the `dynamo` package importable (`python3 -m dynamo.frontend --help` works).\n- For Kubernetes runs: `kubectl` configured with access to the target namespace and a deployed Dynamo recipe.\n- Network reachability to the frontend service (port-forward or direct).\n- A model already loaded into at least one worker (`\u002Fv1\u002Fmodels` returns at least one entry).\n\n## Required Inputs\n\nCollect or infer:\n\n- local Python\u002FCLI or Kubernetes recipe path\n- desired mode: `round-robin`, `kv`, `least-loaded`, `device-aware-weighted`, `direct`, or `random`\n- frontend port or Kubernetes frontend service\n- whether workers publish KV events; if not, use approximate KV mode\n- model name for smoke requests, if `\u002Fv1\u002Fmodels` cannot discover it\n\n## Instructions\n\n### 1. Establish A Baseline\n\nFor local bring-up with already registered workers:\n\n```bash\npython3 -m dynamo.frontend --router-mode round-robin --http-port 8000\n```\n\nFor Kubernetes, inspect the selected recipe `deploy.yaml` and locate the\nfrontend service. If the recipe is not already deployed, use\n`dynamo-recipe-runner` first.\n\n### 2. Enable KV Routing\n\nFor local frontend:\n\n```bash\npython3 -m dynamo.frontend --router-mode kv --http-port 8000\n```\n\nFor Kubernetes, patch only the frontend service env:\n\n```yaml\nenvs:\n  - name: DYN_ROUTER_MODE\n    value: kv\n```\n\nIf backend workers are not publishing KV cache events, set approximate mode\ninstead of leaving the router waiting for events:\n\n```yaml\nenvs:\n  - name: DYN_ROUTER_USE_KV_EVENTS\n    value: \"false\"\n```\n\n### 3. Smoke Test\n\nAfter port-forwarding the frontend service or starting local frontend, run:\n\n```bash\npython3 scripts\u002Fcheck_router_health.py \\\n  --base-url http:\u002F\u002F127.0.0.1:8000\n```\n\nThis must verify `\u002Fv1\u002Fmodels` and, when a model is discoverable, one\n`\u002Fv1\u002Fchat\u002Fcompletions` request.\n\n### 4. Compare Modes Carefully\n\nWhen comparing round-robin vs KV routing:\n\n- use the same model, workers, prompt set, concurrency, and sampling settings\n- send repeated-prefix prompts if demonstrating KV reuse\n- label the result as a smoke comparison unless enough benchmark samples were collected\n- do not claim throughput improvement from a single chat request\n\nIf the endpoint is unhealthy or workers are missing, switch to\n`dynamo-troubleshoot`.\n\n## Available Scripts\n\n| Script | Purpose | Arguments |\n|---|---|---|\n| `scripts\u002Fcheck_router_health.py` | Smoke-test `\u002Fv1\u002Fmodels` and one chat completion against a Dynamo frontend | `--base-url`, `--retries`, `--timeout` |\n\nInvoke via the agentskills.io `run_script()` protocol:\n\n```python\nrun_script(\"scripts\u002Fcheck_router_health.py\", args=[\"--base-url\", \"http:\u002F\u002F127.0.0.1:8000\"])\n```\n\n## Examples\n\nLocal KV-routed frontend on port 8000, then smoke-test it:\n\n```bash\npython3 -m dynamo.frontend --router-mode kv --http-port 8000 &\npython3 scripts\u002Fcheck_router_health.py --base-url http:\u002F\u002F127.0.0.1:8000\n```\n\nKubernetes-deployed frontend reachable via port-forward:\n\n```bash\nkubectl port-forward svc\u002Fqwen-vllm-disagg-frontend 8000:8000 -n dynamo-demo &\npython3 scripts\u002Fcheck_router_health.py --base-url http:\u002F\u002F127.0.0.1:8000 --retries 3\n```\n\nEquivalent through the agent protocol:\n\n```python\nrun_script(\"scripts\u002Fcheck_router_health.py\", args=[\"--base-url\", \"http:\u002F\u002F127.0.0.1:8000\", \"--retries\", \"3\"])\n```\n\n## Output Contract\n\nReturn:\n\n- mode selected and why\n- local command or Kubernetes env patch\n- frontend service or URL\n- smoke-test result\n- any limitation, such as approximate KV mode or missing worker KV events\n- next command to run for a fuller comparison\n\n## Limitations\n\n- Smoke test is one chat completion; it is not a benchmark. Use `dynamo-benchmark` for throughput\u002Flatency numbers.\n- KV-aware mode without worker KV-event publication degrades to approximate mode; this skill flags but does not fix the underlying worker config.\n- Mode comparisons require matched workloads; cross-mode latency claims need separate benchmark runs.\n\n## Troubleshooting\n\n| Symptom | Likely cause | Next step |\n|---|---|---|\n| `\u002Fv1\u002Fmodels` returns empty list | No worker registered with the frontend | Verify worker pods are Ready; confirm they connect to the same etcd\u002FNATS |\n| Smoke chat request times out | Frontend up, workers not serving | Switch to `dynamo-troubleshoot`; inspect worker logs |\n| KV mode hangs | Workers do not publish KV cache events | Set `DYN_ROUTER_USE_KV_EVENTS=false` (approximate mode) |\n| Connection refused on port-forward | Port-forward dropped or wrong service name | Re-run port-forward; verify the frontend service name matches the recipe |\n\n## Benchmark\n\nSee `BENCHMARK.md` for the NVCARPS-EVAL performance report (auto-generated by the NVSkills CI pipeline). To refresh, re-run `\u002Fnvskills-ci` on an upstream PR touching this skill.\n\n## References\n\n- Read `references\u002Frouter-modes.md` for the compact mode\u002Fenv map.\n- Use `scripts\u002Fcheck_router_health.py` for endpoint smoke tests.\n",{"data":34,"body":42},{"name":4,"description":6,"license":25,"metadata":35},{"author":36,"tags":37},"Dan Gil \u003Cdagil@nvidia.com>",[38,39,40,41],"dynamo","router","smoke-test","bring-up",{"type":43,"children":44},"root",[45,53,60,66,72,129,135,140,218,224,231,236,291,312,318,323,362,367,433,438,502,508,513,551,571,577,582,605,618,624,703,716,732,738,743,807,812,885,890,904,910,915,948,954,980,986,1105,1111,1132,1138,1166],{"type":46,"tag":47,"props":48,"children":49},"element","h1",{"id":4},[50],{"type":51,"value":52},"text","Dynamo Router Starter",{"type":46,"tag":54,"props":55,"children":57},"h2",{"id":56},"purpose",[58],{"type":51,"value":59},"Purpose",{"type":46,"tag":61,"props":62,"children":63},"p",{},[64],{"type":51,"value":65},"Make Dynamo routing feel easy by getting a baseline router mode running, enabling\nKV-aware routing when appropriate, and proving the endpoint works. 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Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1246,1249,1252,1255,1258],{"name":1247,"slug":1248,"type":15},"Frontend","frontend",{"name":1250,"slug":1251,"type":15},"React","react",{"name":1253,"slug":1254,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1256,"slug":1257,"type":15},"UI Components","ui-components",{"name":1259,"slug":1260,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1263,"name":1263,"fn":1264,"description":1265,"org":1266,"tags":1267,"stars":22,"repoUrl":23,"updatedAt":1281},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1268,1271,1274,1277,1280],{"name":1269,"slug":1270,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1272,"slug":1273,"type":15},"Cost Optimization","cost-optimization",{"name":1275,"slug":1276,"type":15},"LLM","llm",{"name":1278,"slug":1279,"type":15},"Performance","performance",{"name":1259,"slug":1260,"type":15},"2026-04-06T18:40:44.377464",{"slug":1283,"name":1283,"fn":1284,"description":1285,"org":1286,"tags":1287,"stars":22,"repoUrl":23,"updatedAt":1293},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1288,1289,1292],{"name":1272,"slug":1273,"type":15},{"name":1290,"slug":1291,"type":15},"Database","database",{"name":1275,"slug":1276,"type":15},"2026-04-06T18:41:08.513425",600,{"items":1296,"total":1493},[1297,1318,1341,1358,1374,1391,1410,1422,1436,1450,1462,1477],{"slug":1298,"name":1298,"fn":1299,"description":1300,"org":1301,"tags":1302,"stars":1315,"repoUrl":1316,"updatedAt":1317},"prior-auth-packet-builder","build healthcare prior authorization packets","Build a concise prior authorization packet from local case files and payer policy docs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1303,1306,1309,1312],{"name":1304,"slug":1305,"type":15},"Documents","documents",{"name":1307,"slug":1308,"type":15},"Healthcare","healthcare",{"name":1310,"slug":1311,"type":15},"Insurance","insurance",{"name":1313,"slug":1314,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1319,"name":1319,"fn":1320,"description":1321,"org":1322,"tags":1323,"stars":1338,"repoUrl":1339,"updatedAt":1340},"aspnet-core","build ASP.NET Core web applications","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1324,1327,1329,1332,1335],{"name":1325,"slug":1326,"type":15},".NET","dotnet",{"name":1328,"slug":1319,"type":15},"ASP.NET Core",{"name":1330,"slug":1331,"type":15},"Blazor","blazor",{"name":1333,"slug":1334,"type":15},"C#","csharp",{"name":1336,"slug":1337,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1342,"name":1342,"fn":1343,"description":1344,"org":1345,"tags":1346,"stars":1338,"repoUrl":1339,"updatedAt":1357},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1347,1350,1353,1356],{"name":1348,"slug":1349,"type":15},"Apps SDK","apps-sdk",{"name":1351,"slug":1352,"type":15},"ChatGPT","chatgpt",{"name":1354,"slug":1355,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1359,"name":1359,"fn":1360,"description":1361,"org":1362,"tags":1363,"stars":1338,"repoUrl":1339,"updatedAt":1373},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1364,1367,1370],{"name":1365,"slug":1366,"type":15},"API Development","api-development",{"name":1368,"slug":1369,"type":15},"CLI","cli",{"name":1371,"slug":1372,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1375,"name":1375,"fn":1376,"description":1377,"org":1378,"tags":1379,"stars":1338,"repoUrl":1339,"updatedAt":1390},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1380,1383,1386,1387],{"name":1381,"slug":1382,"type":15},"Cloudflare","cloudflare",{"name":1384,"slug":1385,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1228,"slug":1229,"type":15},{"name":1388,"slug":1389,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1392,"name":1392,"fn":1393,"description":1394,"org":1395,"tags":1396,"stars":1338,"repoUrl":1339,"updatedAt":1409},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1397,1400,1403,1406],{"name":1398,"slug":1399,"type":15},"Productivity","productivity",{"name":1401,"slug":1402,"type":15},"Project Management","project-management",{"name":1404,"slug":1405,"type":15},"Strategy","strategy",{"name":1407,"slug":1408,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1411,"name":1411,"fn":1412,"description":1413,"org":1414,"tags":1415,"stars":1338,"repoUrl":1339,"updatedAt":1421},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1416,1417,1419,1420],{"name":1190,"slug":1191,"type":15},{"name":1418,"slug":1411,"type":15},"Figma",{"name":1247,"slug":1248,"type":15},{"name":1354,"slug":1355,"type":15},"2026-04-12T05:06:47.939943",{"slug":1423,"name":1423,"fn":1424,"description":1425,"org":1426,"tags":1427,"stars":1338,"repoUrl":1339,"updatedAt":1435},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1428,1429,1432,1433,1434],{"name":1190,"slug":1191,"type":15},{"name":1430,"slug":1431,"type":15},"Design System","design-system",{"name":1418,"slug":1411,"type":15},{"name":1247,"slug":1248,"type":15},{"name":1256,"slug":1257,"type":15},"2026-05-10T05:59:52.971881",{"slug":1437,"name":1437,"fn":1438,"description":1439,"org":1440,"tags":1441,"stars":1338,"repoUrl":1339,"updatedAt":1449},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1442,1443,1444,1447,1448],{"name":1190,"slug":1191,"type":15},{"name":1430,"slug":1431,"type":15},{"name":1445,"slug":1446,"type":15},"Documentation","documentation",{"name":1418,"slug":1411,"type":15},{"name":1247,"slug":1248,"type":15},"2026-05-16T06:07:47.821474",{"slug":1451,"name":1451,"fn":1452,"description":1453,"org":1454,"tags":1455,"stars":1338,"repoUrl":1339,"updatedAt":1461},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1456,1457,1458,1459,1460],{"name":1190,"slug":1191,"type":15},{"name":1418,"slug":1411,"type":15},{"name":1247,"slug":1248,"type":15},{"name":1256,"slug":1257,"type":15},{"name":1336,"slug":1337,"type":15},"2026-05-16T06:07:40.583615",{"slug":1463,"name":1463,"fn":1464,"description":1465,"org":1466,"tags":1467,"stars":1338,"repoUrl":1339,"updatedAt":1476},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1468,1471,1472,1475],{"name":1469,"slug":1470,"type":15},"Animation","animation",{"name":1371,"slug":1372,"type":15},{"name":1473,"slug":1474,"type":15},"Creative","creative",{"name":1190,"slug":1191,"type":15},"2026-05-02T05:31:48.48485",{"slug":1478,"name":1478,"fn":1479,"description":1480,"org":1481,"tags":1482,"stars":1338,"repoUrl":1339,"updatedAt":1492},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1483,1484,1485,1488,1491],{"name":1473,"slug":1474,"type":15},{"name":1190,"slug":1191,"type":15},{"name":1486,"slug":1487,"type":15},"Image Generation","image-generation",{"name":1489,"slug":1490,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]