fix(tunnel): release NemoClaw gateway port on stop (#5968)

.github/workflows/macos-e2e.yaml

@@ -70,6 +70,12 @@ jobs:
           npm ci --ignore-scripts
           npm run build
 
+      - name: Run gateway lifecycle regressions
+        run: >-
+          npx vitest run --project integration
+          test/tunnel-gateway-port-release-runtime.test.ts
+          test/onboard-gateway-prelaunch-cutover.test.ts
+
       - name: Detect Docker availability
         id: docker
         run: |

ci/platform-matrix.json

@@ -93,7 +93,7 @@
       "name": "Other OpenAI-compatible endpoint",
       "status": "caveated",
       "endpoint_type": "Custom OpenAI-compatible",
-      "notes": "Adapter path validated against OpenRouter as the `compatible-endpoint` provider with `openrouter/auto` (see `src/lib/inference/config.test.ts:119`); the onboarding prompt that surfaces OpenRouter as the worked example is at `src/lib/onboard.ts:3661`. Behavior on other OpenAI-compatible proxies, gateways, and self-hosted implementations may vary; this row claims the adapter, not the universe of compatible endpoints."
+      "notes": "Adapter path validated against OpenRouter as the `compatible-endpoint` provider with `openrouter/auto` (see `src/lib/inference/config.test.ts:119`); the onboarding prompt that surfaces OpenRouter as the worked example is at `src/lib/onboard.ts:3647`. Behavior on other OpenAI-compatible proxies, gateways, and self-hosted implementations may vary; this row claims the adapter, not the universe of compatible endpoints."
     },
     {
       "name": "Anthropic",
@@ -129,7 +129,7 @@
       "name": "Local NVIDIA NIM",
       "status": "experimental",
       "endpoint_type": "Local OpenAI-compatible",
-      "notes": "Requires `NEMOCLAW_EXPERIMENTAL=1` and a NIM-capable NVIDIA GPU. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence with `assertCdiNvidiaGpuSpecPresent`, `src/lib/onboard.ts:1632`). NIM images pull from `nvcr.io` and require NGC registry login. NemoClaw gates this path behind the experimental flag because it does not auto-select a NIM image for the host today. You must explicitly pick from the validated image list. Managed vLLM has host-specific default models and is not gated on the same boxes. Validated images referenced in `src/lib/inference/config.ts` and `nemoclaw/src/index.ts`: `nvidia/nemotron-3-super-120b-a12b` (default cloud model), `nvidia/nemotron-3-nano-30b-a3b`, `nvidia/llama-3.3-nemotron-super-49b-v1.5`."
+      "notes": "Requires `NEMOCLAW_EXPERIMENTAL=1` and a NIM-capable NVIDIA GPU. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence with `assertCdiNvidiaGpuSpecPresent`, `src/lib/onboard.ts:1627`). NIM images pull from `nvcr.io` and require NGC registry login. NemoClaw gates this path behind the experimental flag because it does not auto-select a NIM image for the host today. You must explicitly pick from the validated image list. Managed vLLM has host-specific default models and is not gated on the same boxes. Validated images referenced in `src/lib/inference/config.ts` and `nemoclaw/src/index.ts`: `nvidia/nemotron-3-super-120b-a12b` (default cloud model), `nvidia/nemotron-3-nano-30b-a3b`, `nvidia/llama-3.3-nemotron-super-49b-v1.5`."
     },
     {
       "name": "Local vLLM (already running)",
@@ -218,7 +218,7 @@
     {
       "name": "Podman / other container runtimes",
       "status": "unsupported",
-      "notes": "Onboard surfaces an explicit unsupported-runtime error for Podman (`src/lib/onboard.ts:1599` prints the rejection; `src/lib/onboard/preflight.ts:586` flags the unsupported runtime upstream). Only Docker Engine, Docker Desktop, and Colima are supported. See issue #420 (closed)."
+      "notes": "Onboard surfaces an explicit unsupported-runtime error for Podman (`src/lib/onboard.ts:1593` prints the rejection; `src/lib/onboard/preflight.ts:586` flags the unsupported runtime upstream). Only Docker Engine, Docker Desktop, and Colima are supported. See issue #420 (closed)."
     },
     {
       "name": "Intel Mac (macOS x86_64)",
@@ -248,7 +248,7 @@
     {
       "name": "Non-NVIDIA GPUs (AMD/ROCm, Intel Arc, Apple Metal)",
       "status": "unsupported",
-      "notes": "Local vLLM and NIM paths assert NVIDIA CDI presence with `assertCdiNvidiaGpuSpecPresent` (`src/lib/onboard.ts:1632`). NemoClaw does not install non-NVIDIA accelerator drivers."
+      "notes": "Local vLLM and NIM paths assert NVIDIA CDI presence with `assertCdiNvidiaGpuSpecPresent` (`src/lib/onboard.ts:1627`). NemoClaw does not install non-NVIDIA accelerator drivers."
     },
     {
       "name": "Other LangChain, AutoGen, CrewAI, or non-listed agent harnesses",

docs/inference/inference-options.mdx

@@ -43,13 +43,13 @@ NemoClaw uses provider-specific local tokens for those routes, and rebuilds of l
 |----------|--------|---------------|-------|
 | NVIDIA Endpoints | Tested | OpenAI-compatible | Hosted models on integrate.api.nvidia.com |
 | OpenAI | Tested | Native OpenAI-compatible | Uses OpenAI model IDs |
-| Other OpenAI-compatible endpoint | Tested with limitations | Custom OpenAI-compatible | Adapter path validated against OpenRouter as the `compatible-endpoint` provider with `openrouter/auto` (see `src/lib/inference/config.test.ts:119`); the onboarding prompt that surfaces OpenRouter as the worked example is at `src/lib/onboard.ts:3661`. Behavior on other OpenAI-compatible proxies, gateways, and self-hosted implementations may vary; this row claims the adapter, not the universe of compatible endpoints. |
+| Other OpenAI-compatible endpoint | Tested with limitations | Custom OpenAI-compatible | Adapter path validated against OpenRouter as the `compatible-endpoint` provider with `openrouter/auto` (see `src/lib/inference/config.test.ts:119`); the onboarding prompt that surfaces OpenRouter as the worked example is at `src/lib/onboard.ts:3647`. Behavior on other OpenAI-compatible proxies, gateways, and self-hosted implementations may vary; this row claims the adapter, not the universe of compatible endpoints. |
 | Anthropic | Tested | Native Anthropic | Uses anthropic-messages |
 | Other Anthropic-compatible endpoint | Tested with limitations | Custom Anthropic-compatible | Adapter path validated with AWS Bedrock (`src/lib/onboard/bedrock-runtime.ts`). Behavior on other Anthropic-compatible proxies and gateways may vary; this row claims the adapter, not the universe of compatible endpoints. |
 | Google Gemini | Tested | OpenAI-compatible | Uses Google's OpenAI-compatible endpoint |
 | Hermes Provider | Hermes only | OpenAI-compatible route | Available when onboarding Hermes Agent through `nemohermes` |
 | Local Ollama | Tested with limitations | Local Ollama API | Available when Ollama is installed or running on the host. Validated default models: `qwen3.6:35b` (high VRAM), `nemotron-3-nano:30b` (medium VRAM), `qwen3.5:9b` (low VRAM fallback). |
-| Local NVIDIA NIM | Experimental | Local OpenAI-compatible | Requires `NEMOCLAW_EXPERIMENTAL=1` and a NIM-capable NVIDIA GPU. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence with `assertCdiNvidiaGpuSpecPresent`, `src/lib/onboard.ts:1632`). NIM images pull from `nvcr.io` and require NGC registry login. NemoClaw gates this path behind the experimental flag because it does not auto-select a NIM image for the host today. You must explicitly pick from the validated image list. Managed vLLM has host-specific default models and is not gated on the same boxes. Validated images referenced in `src/lib/inference/config.ts` and `nemoclaw/src/index.ts`: `nvidia/nemotron-3-super-120b-a12b` (default cloud model), `nvidia/nemotron-3-nano-30b-a3b`, `nvidia/llama-3.3-nemotron-super-49b-v1.5`. |
+| Local NVIDIA NIM | Experimental | Local OpenAI-compatible | Requires `NEMOCLAW_EXPERIMENTAL=1` and a NIM-capable NVIDIA GPU. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence with `assertCdiNvidiaGpuSpecPresent`, `src/lib/onboard.ts:1627`). NIM images pull from `nvcr.io` and require NGC registry login. NemoClaw gates this path behind the experimental flag because it does not auto-select a NIM image for the host today. You must explicitly pick from the validated image list. Managed vLLM has host-specific default models and is not gated on the same boxes. Validated images referenced in `src/lib/inference/config.ts` and `nemoclaw/src/index.ts`: `nvidia/nemotron-3-super-120b-a12b` (default cloud model), `nvidia/nemotron-3-nano-30b-a3b`, `nvidia/llama-3.3-nemotron-super-49b-v1.5`. |
 | Local vLLM (already running) | Tested with limitations | Local OpenAI-compatible | Appears in the onboarding menu when NemoClaw detects a server already on `localhost:8000`. No flag required. Model is whatever the existing server serves. |
 | Local vLLM (managed install/start) | Tested with limitations | Local OpenAI-compatible | Appears by default on DGX Spark and DGX Station. Generic Linux NVIDIA GPU hosts require `NEMOCLAW_EXPERIMENTAL=1` or `NEMOCLAW_PROVIDER=install-vllm`. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence). NemoClaw pulls or starts the stable NGC vLLM container for each host profile. See `src/lib/inference/vllm.ts:55,177` for the pins. DGX Spark and DGX Station use `nvcr.io/nvidia/vllm:26.05.post1-py3`; generic Linux NVIDIA GPU hosts use `nvcr.io/nvidia/vllm:26.03.post1-py3`. Validated defaults are listed in `src/lib/inference/vllm-models.ts`: DGX Spark uses `nvidia/Qwen3.6-35B-A3B-NVFP4`, DGX Station uses `deepseek-ai/DeepSeek-V4-Flash`, and Linux NVIDIA GPU uses `nvidia/NVIDIA-Nemotron-3-Nano-4B-FP8`. Image pulls require NGC registry login (`docker login nvcr.io`); onboard prompts for the NGC API key when authentication is missing. |
 {/* provider-status:end */}

docs/reference/platform-support.mdx

@@ -95,13 +95,13 @@ NemoClaw routes inference through the OpenShell gateway. Each row below is a pro
 |----------|--------|---------------|-------|
 | NVIDIA Endpoints | Tested | OpenAI-compatible | Hosted models on integrate.api.nvidia.com |
 | OpenAI | Tested | Native OpenAI-compatible | Uses OpenAI model IDs |
-| Other OpenAI-compatible endpoint | Tested with limitations | Custom OpenAI-compatible | Adapter path validated against OpenRouter as the `compatible-endpoint` provider with `openrouter/auto` (see `src/lib/inference/config.test.ts:119`); the onboarding prompt that surfaces OpenRouter as the worked example is at `src/lib/onboard.ts:3661`. Behavior on other OpenAI-compatible proxies, gateways, and self-hosted implementations may vary; this row claims the adapter, not the universe of compatible endpoints. |
+| Other OpenAI-compatible endpoint | Tested with limitations | Custom OpenAI-compatible | Adapter path validated against OpenRouter as the `compatible-endpoint` provider with `openrouter/auto` (see `src/lib/inference/config.test.ts:119`); the onboarding prompt that surfaces OpenRouter as the worked example is at `src/lib/onboard.ts:3647`. Behavior on other OpenAI-compatible proxies, gateways, and self-hosted implementations may vary; this row claims the adapter, not the universe of compatible endpoints. |
 | Anthropic | Tested | Native Anthropic | Uses anthropic-messages |
 | Other Anthropic-compatible endpoint | Tested with limitations | Custom Anthropic-compatible | Adapter path validated with AWS Bedrock (`src/lib/onboard/bedrock-runtime.ts`). Behavior on other Anthropic-compatible proxies and gateways may vary; this row claims the adapter, not the universe of compatible endpoints. |
 | Google Gemini | Tested | OpenAI-compatible | Uses Google's OpenAI-compatible endpoint |
 | Hermes Provider | Hermes only | OpenAI-compatible route | Available when onboarding Hermes Agent through `nemohermes` |
 | Local Ollama | Tested with limitations | Local Ollama API | Available when Ollama is installed or running on the host. Validated default models: `qwen3.6:35b` (high VRAM), `nemotron-3-nano:30b` (medium VRAM), `qwen3.5:9b` (low VRAM fallback). |
-| Local NVIDIA NIM | Experimental | Local OpenAI-compatible | Requires `NEMOCLAW_EXPERIMENTAL=1` and a NIM-capable NVIDIA GPU. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence with `assertCdiNvidiaGpuSpecPresent`, `src/lib/onboard.ts:1632`). NIM images pull from `nvcr.io` and require NGC registry login. NemoClaw gates this path behind the experimental flag because it does not auto-select a NIM image for the host today. You must explicitly pick from the validated image list. Managed vLLM has host-specific default models and is not gated on the same boxes. Validated images referenced in `src/lib/inference/config.ts` and `nemoclaw/src/index.ts`: `nvidia/nemotron-3-super-120b-a12b` (default cloud model), `nvidia/nemotron-3-nano-30b-a3b`, `nvidia/llama-3.3-nemotron-super-49b-v1.5`. |
+| Local NVIDIA NIM | Experimental | Local OpenAI-compatible | Requires `NEMOCLAW_EXPERIMENTAL=1` and a NIM-capable NVIDIA GPU. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence with `assertCdiNvidiaGpuSpecPresent`, `src/lib/onboard.ts:1627`). NIM images pull from `nvcr.io` and require NGC registry login. NemoClaw gates this path behind the experimental flag because it does not auto-select a NIM image for the host today. You must explicitly pick from the validated image list. Managed vLLM has host-specific default models and is not gated on the same boxes. Validated images referenced in `src/lib/inference/config.ts` and `nemoclaw/src/index.ts`: `nvidia/nemotron-3-super-120b-a12b` (default cloud model), `nvidia/nemotron-3-nano-30b-a3b`, `nvidia/llama-3.3-nemotron-super-49b-v1.5`. |
 | Local vLLM (already running) | Tested with limitations | Local OpenAI-compatible | Appears in the onboarding menu when NemoClaw detects a server already on `localhost:8000`. No flag required. Model is whatever the existing server serves. |
 | Local vLLM (managed install/start) | Tested with limitations | Local OpenAI-compatible | Appears by default on DGX Spark and DGX Station. Generic Linux NVIDIA GPU hosts require `NEMOCLAW_EXPERIMENTAL=1` or `NEMOCLAW_PROVIDER=install-vllm`. Host must have the NVIDIA Container Toolkit installed and a CDI spec present (`onboard` asserts CDI presence). NemoClaw pulls or starts the stable NGC vLLM container for each host profile. See `src/lib/inference/vllm.ts:55,177` for the pins. DGX Spark and DGX Station use `nvcr.io/nvidia/vllm:26.05.post1-py3`; generic Linux NVIDIA GPU hosts use `nvcr.io/nvidia/vllm:26.03.post1-py3`. Validated defaults are listed in `src/lib/inference/vllm-models.ts`: DGX Spark uses `nvidia/Qwen3.6-35B-A3B-NVFP4`, DGX Station uses `deepseek-ai/DeepSeek-V4-Flash`, and Linux NVIDIA GPU uses `nvidia/NVIDIA-Nemotron-3-Nano-4B-FP8`. Image pulls require NGC registry login (`docker login nvcr.io`); onboard prompts for the NGC API key when authentication is missing. |
 {/* provider-status-full:end */}
@@ -160,13 +160,13 @@ They are listed here so launch material, sales conversations, and support triage
 {/* out-of-scope:begin */}
 | Item | Status | Why |
 |------|--------|-----|
-| Podman / other container runtimes | Unsupported | Onboard surfaces an explicit unsupported-runtime error for Podman (`src/lib/onboard.ts:1599` prints the rejection; `src/lib/onboard/preflight.ts:586` flags the unsupported runtime upstream). Only Docker Engine, Docker Desktop, and Colima are supported. See issue #420 (closed). |
+| Podman / other container runtimes | Unsupported | Onboard surfaces an explicit unsupported-runtime error for Podman (`src/lib/onboard.ts:1593` prints the rejection; `src/lib/onboard/preflight.ts:586` flags the unsupported runtime upstream). Only Docker Engine, Docker Desktop, and Colima are supported. See issue #420 (closed). |
 | Intel Mac (macOS x86_64) | Unsupported | OpenShell does not publish macOS x86_64 standalone gateway assets. Install hard-fails on x86_64 macOS (`scripts/install-openshell.sh:315`). See issue #954 (closed). |
 | Non-Ubuntu/Debian Linux distros | Unsupported | Installer assumes `apt-get`. Fedora/Rocky/Alma/Arch/NixOS are not validated and the installer's package-manager probes do not cover them. See open issue #899 (Fedora hang). |
 | Native Kubernetes or OpenShift deployments | Unsupported | NemoClaw runs the sandbox as a Docker container, not a Kubernetes pod. The default Docker-driver topology does not embed k3s. Operator-managed K8s/OpenShift deployments are out of scope; see issue #407 (community OpenShift through agent-sandbox CRD). |
 | Air-gapped / offline installs | Unsupported | Onboard assumes network reachability for package fetches, container pulls, and provider validation. See open issues #4872 and #2218 (production-deployment epic covering air-gapped support, China network guidance, multi-host topology). |
 | Windows-on-ARM GPU passthrough | Unsupported | Windows-on-ARM CPU paths run under WSL2 'tested with limitations', but GPU passthrough on WOA is denylisted (`src/lib/onboard/wsl-docker-desktop-gpu.ts:188`, `src/lib/inference/gpu-trust.test.ts:70`). See closed issue #4565. |
-| Non-NVIDIA GPUs (AMD/ROCm, Intel Arc, Apple Metal) | Unsupported | Local vLLM and NIM paths assert NVIDIA CDI presence with `assertCdiNvidiaGpuSpecPresent` (`src/lib/onboard.ts:1632`). NemoClaw does not install non-NVIDIA accelerator drivers. |
+| Non-NVIDIA GPUs (AMD/ROCm, Intel Arc, Apple Metal) | Unsupported | Local vLLM and NIM paths assert NVIDIA CDI presence with `assertCdiNvidiaGpuSpecPresent` (`src/lib/onboard.ts:1627`). NemoClaw does not install non-NVIDIA accelerator drivers. |
 | Other LangChain, AutoGen, CrewAI, or non-listed agent harnesses | Unsupported | LangChain Deep Agents Code is the only integrated LangChain-family harness (see the Agents section above; status `Experimental`). Other LangChain harnesses, AutoGen, CrewAI, and any agent runtime not listed in the Agents table are not integrated. Bringing more harnesses is tracked as a research epic (see open issue #4861) but is not on the current roadmap. |
 | Multi-user host sharing | Unsupported | Sandboxes are scoped to a single host user. NemoClaw treats multi-user hosts as a risk and warns at onboard; see `docs/security/openclaw-controls.mdx` Multi-user detection. |
 | Hosted SaaS / managed NemoClaw | Unsupported | There is no managed offering. Supported deployment paths are Local CLI onboard, Remote GPU with Brev CLI, and Brev web UI. |