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feat(llm-routing): add optional demo monitoring - #2325
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priyaselvaganesan merged 9 commits intoOct 7, 2026
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Add model-neutral monitoring attachment, dashboards and traffic verification on the inference-in-a-box deployment stack. Preserve upstream chart fingerprints, demo UI credentials and deployment safeguards. Use OpenTelemetry Collector Contrib 0.160.0 (Apache-2.0), VictoriaMetrics 1.153.0 (Apache-2.0), Grafana OSS 13.2.3 (AGPL-3.0) and development-only PyYAML 6.0.3 (MIT). NOTICE records their terms. Grafana remains outside the repository license allowlist and requires downstream license review. Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
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📝 WalkthroughWalkthroughThis change adds a Helm monitoring profile for LLM routing, with configuration and CLI workflows for setup, installation, dashboard access, verification, and offline image handling. It also adds monitoring dashboards, chart resources, tests, and supporting documentation. ChangesLLM routing monitoring
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~60 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant User
participant RecipeCLI
participant Recipe
participant Monitoring
participant Helm
participant Kubernetes
participant Grafana
participant DashboardLogin
User->>RecipeCLI: Run monitoring command
RecipeCLI->>Recipe: Dispatch monitoring phase
Recipe->>Monitoring: Install monitoring release
Monitoring->>Helm: Install or upgrade chart
Helm->>Kubernetes: Create monitoring resources
RecipeCLI->>Recipe: Run dashboard action
Recipe->>Monitoring: Open dashboard through port-forward
Monitoring->>Grafana: Request dashboard login
Monitoring->>DashboardLogin: Forward admin credentials for browser sign-in
Suggested reviewers: Merge Risk: 🔵 Low · up to Monitoring is optional and separately installed. Some retention settings pass validation, but VictoriaMetrics then fails to start and the monitoring install times out. Tightening that check is a small follow-up, and the routing deployment is otherwise unaffected. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 2.26% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 177 functions across 12 files. (17 skipped: 17 unsupported.) ✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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4 tasks done
Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
Install monitoring with automatic routing discovery and show dashboards with anonymous Viewer permissions. Provide protected administrator login details through dashboard --admin. Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
Keep installation and dashboard access in the main README. Limit the advanced guide to configuration, administration, verification and uninstall. Remove the unused local password copy now that admin access reads the cluster Secret. Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
kristinapathak
approved these changes
Oct 6, 2026
Merge the current inference-in-a-box base and preserve monitoring attachment, dashboard access and verification under recipes/recipe.py. Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
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Review comments at @deploy/helm/llm-routing/recipes/monitoring.py:
- Around line 80-81: Update the retentionPeriod validation to accept supported
d, h, w, M, and y units, while rejecting hour-based durations below 24h;
preserve the existing default and require an explicit valid duration before
deployment.
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📒 Files selected for processing (29)
deploy/helm/llm-routing/README.mddeploy/helm/llm-routing/recipes/MONITORING.mddeploy/helm/llm-routing/recipes/NOTICEdeploy/helm/llm-routing/recipes/charts/image-loader/templates/jobs.yamldeploy/helm/llm-routing/recipes/charts/image-loader/values.yamldeploy/helm/llm-routing/recipes/charts/monitoring/AGENTS.mddeploy/helm/llm-routing/recipes/charts/monitoring/CLAUDE.mddeploy/helm/llm-routing/recipes/charts/monitoring/Chart.yamldeploy/helm/llm-routing/recipes/charts/monitoring/files/dashboard-llamacpp.jsondeploy/helm/llm-routing/recipes/charts/monitoring/files/dashboard.jsondeploy/helm/llm-routing/recipes/charts/monitoring/templates/collector.yamldeploy/helm/llm-routing/recipes/charts/monitoring/templates/grafana.yamldeploy/helm/llm-routing/recipes/charts/monitoring/templates/network-policy.yamldeploy/helm/llm-routing/recipes/charts/monitoring/templates/workloads.yamldeploy/helm/llm-routing/recipes/charts/monitoring/values.yamldeploy/helm/llm-routing/recipes/config.example.jsondeploy/helm/llm-routing/recipes/console_output.pydeploy/helm/llm-routing/recipes/dashboard_login.pydeploy/helm/llm-routing/recipes/monitoring.pydeploy/helm/llm-routing/recipes/monitoring_setup.pydeploy/helm/llm-routing/recipes/recipe.pydeploy/helm/llm-routing/recipes/tests/requirements-monitoring.txtdeploy/helm/llm-routing/recipes/tests/test_cli.pydeploy/helm/llm-routing/recipes/tests/test_console_output.pydeploy/helm/llm-routing/recipes/tests/test_dashboard_login.pydeploy/helm/llm-routing/recipes/tests/test_grafana_access.pydeploy/helm/llm-routing/recipes/tests/test_monitoring.pydeploy/helm/llm-routing/recipes/tests/test_monitoring_setup.pydeploy/helm/llm-routing/recipes/tests/test_recipe.py
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Relates to #2324 Signed-off-by: priyaselvaganesan <pselvaganesa@nvidia.com>
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TL;DR
Adds optional monitoring to the LLM routing demo so users can see service health, request behavior and token usage across the models their stack serves.
Additional Details
Installation and collection
From
deploy/helm/llm-routing/recipes,python3 recipe.py monitoringattaches to the existing routing stack, installs monitoring and opens dashboard access on localhost:13000. It uses the saved context, namespace and release settings. Monitoring runs as a separate Helm release on the control node and is independent of model recipes and GPU placement.OpenTelemetry Collector scrapes the gateway, router, Pylon and operator, plus monitoring components. VictoriaMetrics stores the metrics on a persistent volume, and Grafana provides the dashboard. Defaults are a 5Gi volume and three-day retention.
Dashboard and access
The dashboard covers scrape health, request rates, errors, latency, first-token timing and token throughput. Model and namespace filters populate from discovered metric labels. Optional exporter targets add runtime metrics, with three additional panels for compatible llama.cpp backends.
Viewing uses anonymous Viewer access.
python3 recipe.py dashboard --adminopens the browser signed in as administrator using the installation's existing Secret. Credentials persist across upgrades and are not printed.dashboardreopens dashboard access, and Ctrl-C closes local access while monitoring continues running.Verification, configuration and removal
verify-monitoringchecks fresh scrape data and dashboard permissions. Adding--verify-trafficdiscovers a served model, sends streaming and nonstreaming requests, and checks nine request, latency and token counter increases.--modelselects a specific model.Configuration supports retention, storage size, namespaces, additional exporters, image overrides and restricted collector egress. Offline workflows can export and import monitoring images. Ownership and cluster checks protect existing installations, and monitoring attachments preserve model deployment progress.
python3 recipe.py uninstall-monitoringremoves Grafana, the collector and VictoriaMetrics while retaining metrics storage. The routing stack and model deployments remain running.Main README covers setup. Advanced monitoring configuration covers settings and operational commands.
Dependencies: OpenTelemetry Collector Contrib 0.160.0 and VictoriaMetrics 1.153.0 (Apache-2.0), Grafana OSS 13.2.3 (AGPL-3.0), and test-only PyYAML 6.0.3 (MIT). NOTICE records these terms. Grafana requires downstream license review.
Issues
Relates to #2324
Checklist
Summary by CodeRabbit