docs: Adding redirects

[dagil-nvidia]

Cherry-pick: docs: Adding redirects

Overview

This PR cherry-picks PR #3965 (merged to main) to release/0.6.1 to add redirects for documentation pages that were moved in PR #3802.

Details

Adds 13 redirects to docs/conf.py to maintain accessibility of documentation URLs after the reorganization. Also updates docs/README.md with instructions on how to add redirects in the future.

Redirects Added

The following redirects were added to preserve access to moved documentation pages:

• guides/tool-calling → ../agents/tool-calling.html
• architecture/architecture → ../design_docs/architecture.html
• architecture/disagg_serving → ../design_docs/disagg_serving.html
• architecture/distributed_runtime → ../design_docs/distributed_runtime.html
• architecture/dynamo_flow → ../design_docs/dynamo_flow.html
• architecture/request_cancellation → ../fault_tolerance/request_cancellation.html
• architecture/request_migration → ../fault_tolerance/request_migration.html
• kubernetes/create_deployment → ../kubernetes/deployment/create_deployment.html
• kubernetes/minikube → ../kubernetes/deployment/minikube.html
• kubernetes/multinode-deployment → ../kubernetes/deployment/multinode-deployment.html
• kubernetes/logging → ../kubernetes/observability/logging.html
• kubernetes/metrics → ../kubernetes/observability/metrics.html
• architecture/kv_cache_routing → ../router/kv_cache_routing.html

Related PRs

• Original PR: docs: Adding redirects #3965
• Related reorganization: docs: address Harry/VDR feedback + fixing broken links across repository #3802

Where should the reviewer start?

• docs/conf.py - Review redirect mappings
• docs/README.md - Review redirect creation guidance

Testing

• Verified cherry-pick applies cleanly to release/0.6.1
• No merge conflicts
• Redirects configuration matches the original PR

Summary by CodeRabbit

Release Notes: Version 0.6.1

• Chores
  • Container images updated to official NVIDIA registry (nvcr.io/nvidia/ai-dynamo)
  • Version bumped to 0.6.1 across all components and configurations
  • CI/CD workflow enhanced with multi-platform build support (amd64 and arm64)
  • Documentation updated with navigation redirects for improved discoverability

[copy-pr-bot]

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Pull request vetters can view their responsibilities here.

Contributors can view more details about this message here.

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

This PR updates container image references across the codebase from placeholder registries and tags to production NVIDIA registries (nvcr.io/nvidia/ai-dynamo) with version 0.6.1. Additionally, it enables matrix-based platform testing in CI/CD, updates Helm chart versioning, and adds documentation redirects.

Changes

Cohort / File(s)	Summary
CI/CD and Build Configuration .github/workflows/container-validation-backends.yml, Earthfile, deploy/cloud/operator/Earthfile, deploy/cloud/operator/internal/secrets/docker_test.go	Container validation workflow enables matrix strategy for multi-platform testing (amd64 GPU, arm64 CPU). Docker server registry updated from my-registry to nvcr.io/nvidia/ai-dynamo in Earthfile targets. Test expectations updated to reflect new registry prefix.
Helm Chart and Versioning deploy/cloud/helm/platform/Chart.yaml	Chart version bumped from 0.6.0 to 0.6.1; dynamo-operator dependency updated from 0.5.0 to 0.6.1.
sglang Deployment Manifests components/backends/sglang/deploy/README.md, agg.yaml, agg_logging.yaml, agg_router.yaml, disagg.yaml, disagg-multinode.yaml, disagg_planner.yaml	Image tags updated from my-registry/sglang-runtime:my-tag to nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.6.1 across all deployment configurations.
trtllm Deployment Manifests components/backends/trtllm/deploy/README.md, agg.yaml, agg-with-config.yaml, agg_router.yaml, disagg.yaml, disagg-multinode.yaml, disagg_planner.yaml, disagg_router.yaml	Image references changed from my-registry/trtllm-runtime:my-tag to nvcr.io/nvidia/ai-dynamo/trtllm-runtime:0.6.1 across aggregated and disaggregated deployment patterns.
vllm Deployment Manifests components/backends/vllm/deploy/README.md, agg.yaml, agg_kvbm.yaml, agg_router.yaml, disagg.yaml, disagg-multinode.yaml, disagg_kvbm.yaml, disagg_kvbm_2p2d.yaml, disagg_kvbm_tp2.yaml, disagg_planner.yaml, disagg_router.yaml	Image tags uniformly updated to nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.6.1 across multiple vLLM deployment templates.
Configuration and Infrastructure benchmarks/incluster/benchmark_job.yaml, benchmarks/profiler/utils/config.py, deploy/cloud/pre-deployment/nixl/README.md, build_and_deploy.sh, nixlbench-deployment.yaml, docs/kubernetes/deployment/create_deployment.md	Benchmark and deployment configs updated with concrete version 0.6.1 and registry nvcr.io/nvidia/ai-dynamo. Image pull secrets and runtime references aligned with new registry.
Example Deployments and Recipes examples/basics/kubernetes/Distributed_Inference/*, examples/custom_backend/hello_world/deploy/hello_world.yaml, examples/deployments/ECS/*, examples/deployments/GKE/*, examples/multimodal/deploy/*, recipes/deepseek-r1/sglang/*, recipes/gpt-oss-120b/trtllm/agg/deploy.yaml, recipes/llama-3-70b/vllm/*, recipes/qwen3-32b-fp8/trtllm/*	Container image tags updated from my-tag to 0.6.1 and registry references standardized to nvcr.io/nvidia/ai-dynamo across all example and recipe deployments.
Test Configurations tests/fault_tolerance/deploy/templates/vllm/moe_agg.yaml, moe_disagg.yaml, tests/planner/perf_test_configs/agg_8b.yaml, disagg_8b_2p2d.yaml, disagg_8b_3p1d.yaml, disagg_8b_planner.yaml, disagg_8b_tp2.yaml, image_cache_daemonset.yaml	All test deployment manifests updated with concrete image version 0.6.1.
Documentation docs/README.md, docs/_includes/install.rst, docs/backends/trtllm/gpt-oss.md, docs/benchmarks/benchmarking.md, docs/conf.py	Installation instructions and benchmarking examples updated with version 0.6.1. Documentation build configuration enhanced with URL redirect mappings for guides, architecture, and Kubernetes documentation paths.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25–35 minutes

Areas requiring extra attention:

• Consistency verification: Confirm all ~60 deployment files have consistent registry and version updates across sglang, trtllm, and vllm backends
• Workflow platform matrix: Validate that the CI/CD matrix strategy correctly tests both amd64 (GPU) and arm64 (CPU) and that conditional exclusions for arm64 tests are properly applied
• Chart version alignment: Verify that Helm chart version 0.6.1 and dynamo-operator dependency version 0.6.1 are compatible and correctly specified
• Documentation redirects: Ensure the conf.py redirect mappings do not conflict with existing URL patterns and cover all intended documentation paths
• Registry accessibility: Confirm nvcr.io/nvidia/ai-dynamo is the correct production registry path for deployment contexts

Poem

🐰 From my-registry's placeholder dreams,
We hop to NVIDIA's official streams!
Version 0.6.1 marks the way,
Sixty files in sync today.
Matrix platforms, redirects in place,
The dynamo bounces at a faster pace! 🚀

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📜 Recent review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 7b709c4 and cf6eea6.

📒 Files selected for processing (68)

• .github/workflows/container-validation-backends.yml (5 hunks)
• Earthfile (3 hunks)
• benchmarks/incluster/benchmark_job.yaml (1 hunks)
• benchmarks/profiler/utils/config.py (1 hunks)
• components/backends/sglang/deploy/README.md (2 hunks)
• components/backends/sglang/deploy/agg.yaml (2 hunks)
• components/backends/sglang/deploy/agg_logging.yaml (2 hunks)
• components/backends/sglang/deploy/agg_router.yaml (2 hunks)
• components/backends/sglang/deploy/disagg-multinode.yaml (3 hunks)
• components/backends/sglang/deploy/disagg.yaml (3 hunks)
• components/backends/sglang/deploy/disagg_planner.yaml (4 hunks)
• components/backends/trtllm/deploy/README.md (3 hunks)
• components/backends/trtllm/deploy/agg-with-config.yaml (2 hunks)
• components/backends/trtllm/deploy/agg.yaml (2 hunks)
• components/backends/trtllm/deploy/agg_router.yaml (2 hunks)
• components/backends/trtllm/deploy/disagg-multinode.yaml (3 hunks)
• components/backends/trtllm/deploy/disagg.yaml (3 hunks)
• components/backends/trtllm/deploy/disagg_planner.yaml (4 hunks)
• components/backends/trtllm/deploy/disagg_router.yaml (3 hunks)
• components/backends/vllm/deploy/README.md (2 hunks)
• components/backends/vllm/deploy/agg.yaml (2 hunks)
• components/backends/vllm/deploy/agg_kvbm.yaml (2 hunks)
• components/backends/vllm/deploy/agg_router.yaml (2 hunks)
• components/backends/vllm/deploy/disagg-multinode.yaml (3 hunks)
• components/backends/vllm/deploy/disagg.yaml (3 hunks)
• components/backends/vllm/deploy/disagg_kvbm.yaml (3 hunks)
• components/backends/vllm/deploy/disagg_kvbm_2p2d.yaml (3 hunks)
• components/backends/vllm/deploy/disagg_kvbm_tp2.yaml (3 hunks)
• components/backends/vllm/deploy/disagg_planner.yaml (4 hunks)
• components/backends/vllm/deploy/disagg_router.yaml (3 hunks)
• deploy/cloud/helm/platform/Chart.yaml (1 hunks)
• deploy/cloud/operator/Earthfile (1 hunks)
• deploy/cloud/operator/internal/secrets/docker_test.go (5 hunks)
• deploy/cloud/pre-deployment/nixl/README.md (1 hunks)
• deploy/cloud/pre-deployment/nixl/build_and_deploy.sh (2 hunks)
• deploy/cloud/pre-deployment/nixl/nixlbench-deployment.yaml (1 hunks)
• docs/README.md (1 hunks)
• docs/_includes/install.rst (2 hunks)
• docs/backends/trtllm/gpt-oss.md (1 hunks)
• docs/benchmarks/benchmarking.md (1 hunks)
• docs/conf.py (1 hunks)
• docs/kubernetes/deployment/create_deployment.md (1 hunks)
• examples/basics/kubernetes/Distributed_Inference/README.md (1 hunks)
• examples/basics/kubernetes/Distributed_Inference/agg_router.yaml (2 hunks)
• examples/basics/kubernetes/Distributed_Inference/disagg_router.yaml (3 hunks)
• examples/custom_backend/hello_world/deploy/hello_world.yaml (2 hunks)
• examples/deployments/ECS/task_definition_frontend.json (1 hunks)
• examples/deployments/ECS/task_definition_prefillworker.json (1 hunks)
• examples/deployments/GKE/sglang/disagg.yaml (3 hunks)
• examples/deployments/GKE/vllm/disagg.yaml (3 hunks)
• examples/multimodal/deploy/agg_llava.yaml (4 hunks)
• examples/multimodal/deploy/agg_qwen.yaml (4 hunks)
• recipes/deepseek-r1/sglang/disagg-16gpu/deploy.yaml (3 hunks)
• recipes/deepseek-r1/sglang/disagg-8gpu/deploy.yaml (3 hunks)
• recipes/gpt-oss-120b/trtllm/agg/deploy.yaml (2 hunks)
• recipes/llama-3-70b/vllm/agg/deploy.yaml (2 hunks)
• recipes/llama-3-70b/vllm/disagg-multi-node/deploy.yaml (3 hunks)
• recipes/llama-3-70b/vllm/disagg-single-node/deploy.yaml (3 hunks)
• recipes/qwen3-32b-fp8/trtllm/agg/deploy.yaml (2 hunks)
• recipes/qwen3-32b-fp8/trtllm/disagg/deploy.yaml (3 hunks)
• tests/fault_tolerance/deploy/templates/vllm/moe_agg.yaml (2 hunks)
• tests/fault_tolerance/deploy/templates/vllm/moe_disagg.yaml (3 hunks)
• tests/planner/perf_test_configs/agg_8b.yaml (2 hunks)
• tests/planner/perf_test_configs/disagg_8b_2p2d.yaml (3 hunks)
• tests/planner/perf_test_configs/disagg_8b_3p1d.yaml (3 hunks)
• tests/planner/perf_test_configs/disagg_8b_planner.yaml (4 hunks)
• tests/planner/perf_test_configs/disagg_8b_tp2.yaml (3 hunks)
• tests/planner/perf_test_configs/image_cache_daemonset.yaml (1 hunks)

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