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2 changes: 1 addition & 1 deletion .agents/skills/nemoclaw-user-configure-inference/SKILL.md
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Expand Up @@ -168,7 +168,7 @@ This does not delete downloaded model files.

```bash
NEMOCLAW_PROVIDER=ollama \
NEMOCLAW_MODEL=qwen2.5:14b \
NEMOCLAW_MODEL=qwen3.5:9b \
nemoclaw onboard --non-interactive --yes
```

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Expand Up @@ -53,7 +53,7 @@ The managed install/start vLLM entry appears by default on DGX Spark and DGX Sta

| Option | Description | Curated models |
|--------|-------------|----------------|
| NVIDIA Endpoints | Routes to models hosted on [build.nvidia.com](https://build.nvidia.com). You can also enter any model ID from the catalog. Set `NVIDIA_API_KEY`. | Nemotron 3 Super 120B, GLM-5.1, MiniMax M2.7, GPT-OSS 120B, DeepSeek V4 Pro |
| NVIDIA Endpoints | Routes to models hosted on [build.nvidia.com](https://build.nvidia.com). You can also enter any model ID from the catalog. Set `NVIDIA_API_KEY`. | Nemotron 3 Super 120B, Nemotron 3 Ultra 550B, GLM-5.1, MiniMax M2.7, GPT-OSS 120B, DeepSeek V4 Pro |
| OpenAI | Routes to the OpenAI API. Set `OPENAI_API_KEY`. | `gpt-5.4`, `gpt-5.4-mini`, `gpt-5.4-nano`, `gpt-5.4-pro-2026-03-05` |
| Other OpenAI-compatible endpoint | Routes to any server that implements `/v1/chat/completions`. NemoClaw uses `/v1/chat/completions` at runtime by default; set `NEMOCLAW_PREFERRED_API=openai-responses` to allow `/v1/responses` for proxies that implement it, such as some llama.cpp builds. The wizard prompts for a base URL and model name. Works with OpenRouter, LocalAI, llama.cpp, or any compatible proxy. When you enable Telegram messaging, onboarding also runs a bounded sandbox-side smoke check through `https://inference.local/v1/chat/completions`. Set `COMPATIBLE_API_KEY`. | You provide the model name. |
| Anthropic | Routes to the Anthropic Messages API. Set `ANTHROPIC_API_KEY`. | `claude-sonnet-4-6`, `claude-haiku-4-5`, `claude-opus-4-6` |
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Expand Up @@ -45,6 +45,9 @@ This means you can:
- Use short-lived or rotated credentials in CI by exporting them once per pipeline run
- Avoid registering credentials in the gateway entirely if your environment supplies them

When the host environment is empty, day-two operations such as `nemoclaw <name> rebuild` and remote-provider updates can reuse the credential already registered with the OpenShell gateway.
Export the credential only when you want to create, replace, or rotate the stored provider value.

## Deploy Reads from Environment Only

`nemoclaw deploy` (which provisions a remote Brev box) cannot read secrets back from the gateway, so it requires every credential to be present in the host environment at invocation time.
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10 changes: 10 additions & 0 deletions .agents/skills/nemoclaw-user-overview/references/release-notes.md
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Expand Up @@ -4,6 +4,16 @@ NVIDIA NemoClaw is available in early preview starting March 16, 2026.
Use this page to track the highlights of the latest release.
For more detailed release notes, refer to the [NemoClaw GitHub announcements](https://github.com/NVIDIA/NemoClaw/discussions/categories/announcements?discussions_q=is%3Aopen+category%3AAnnouncements).

## v0.0.59

NemoClaw v0.0.59 improves OpenClaw runtime compatibility, inference setup, credential reuse, messaging safeguards, and sandbox startup diagnostics:

- OpenClaw sandboxes stay aligned with the live gateway and current runtime layout. Sandbox startup reconciles the agent model from the live gateway, refreshes the OpenClaw plugin registry after gateway startup, pins OpenClaw home, state, and workspace paths inside the sandbox, and handles OpenClaw 2026.5.27 approval compatibility. For more information, refer to NemoClaw CLI Commands Reference (use the `nemoclaw-user-reference` skill).
- Inference setup has newer model choices and longer first-start budgets for local runtimes. NVIDIA Endpoints includes the Nemotron 3 Ultra 550B option, Local Ollama uses `qwen3.5:9b` as the starter fallback, managed vLLM on DGX Spark uses a 128K context window for `nvidia/Qwen3.6-35B-A3B-NVFP4`, and Local NVIDIA NIM waits longer for first container startup while still failing fast when the container exits. For more information, refer to NemoClaw Inference Options (use the `nemoclaw-user-configure-inference` skill).
- Hermes sandboxes can route Anthropic Messages API traffic through managed inference, and runtime model switches keep the Hermes config synchronized with the OpenShell route. For more information, refer to Switch Inference Models at Runtime (use the `nemoclaw-user-configure-inference` skill).
- Credential and messaging boundaries are clearer during day-two operations. Rebuild and remote-provider update paths can reuse credentials already stored in the OpenShell gateway when the host environment is empty, `channels add` warns or aborts before multiple sandboxes compete for the same token-based messaging credential, and `status` reports cross-sandbox channel overlaps. For more information, refer to Messaging Channels (use the `nemoclaw-user-manage-sandboxes` skill).
- Sandbox startup and host preflight failures provide more actionable recovery guidance. NemoClaw heals `~/.nemoclaw` directory and config-file permissions on read paths, detects missing or stale NVIDIA CDI specs before GPU containers fail, probes legacy gateway containers before host-alias operations, and preserves argument validation before runtime probing. For more information, refer to Troubleshooting (use the `nemoclaw-user-reference` skill).

## v0.0.58

NemoClaw v0.0.58 improves GPU proof reporting, local-inference metadata, policy failure handling, Hermes messaging reliability, OpenClaw diagnostics, and release-prep documentation:
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Expand Up @@ -567,7 +567,7 @@ Existing sandboxes do not auto-upgrade when a newer NemoClaw release ships a new
```console
$ nemoclaw my-assistant status
...
Agent: OpenClaw v2026.5.22
Agent: OpenClaw v2026.5.27
...
```

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10 changes: 10 additions & 0 deletions docs/about/release-notes.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,16 @@ NVIDIA NemoClaw is available in early preview starting March 16, 2026.
Use this page to track the highlights of the latest release.
For more detailed release notes, refer to the [NemoClaw GitHub announcements](https://github.com/NVIDIA/NemoClaw/discussions/categories/announcements?discussions_q=is%3Aopen+category%3AAnnouncements).

## v0.0.59

NemoClaw v0.0.59 improves OpenClaw runtime compatibility, inference setup, credential reuse, messaging safeguards, and sandbox startup diagnostics:

- OpenClaw sandboxes stay aligned with the live gateway and current runtime layout. Sandbox startup reconciles the agent model from the live gateway, refreshes the OpenClaw plugin registry after gateway startup, pins OpenClaw home, state, and workspace paths inside the sandbox, and handles OpenClaw 2026.5.27 approval compatibility. For more information, refer to [NemoClaw CLI Commands Reference](../reference/commands).
- Inference setup has newer model choices and longer first-start budgets for local runtimes. NVIDIA Endpoints includes the Nemotron 3 Ultra 550B option, Local Ollama uses `qwen3.5:9b` as the starter fallback, managed vLLM on DGX Spark uses a 128K context window for `nvidia/Qwen3.6-35B-A3B-NVFP4`, and Local NVIDIA NIM waits longer for first container startup while still failing fast when the container exits. For more information, refer to [NemoClaw Inference Options](../inference/inference-options).
- Hermes sandboxes can route Anthropic Messages API traffic through managed inference, and runtime model switches keep the Hermes config synchronized with the OpenShell route. For more information, refer to [Switch Inference Models at Runtime](../inference/switch-inference-providers).
- Credential and messaging boundaries are clearer during day-two operations. Rebuild and remote-provider update paths can reuse credentials already stored in the OpenShell gateway when the host environment is empty, `channels add` warns or aborts before multiple sandboxes compete for the same token-based messaging credential, and `status` reports cross-sandbox channel overlaps. For more information, refer to [Messaging Channels](../manage-sandboxes/messaging-channels).
- Sandbox startup and host preflight failures provide more actionable recovery guidance. NemoClaw heals `~/.nemoclaw` directory and config-file permissions on read paths, detects missing or stale NVIDIA CDI specs before GPU containers fail, probes legacy gateway containers before host-alias operations, and preserves argument validation before runtime probing. For more information, refer to [Troubleshooting](../reference/troubleshooting).

## v0.0.58

NemoClaw v0.0.58 improves GPU proof reporting, local-inference metadata, policy failure handling, Hermes messaging reliability, OpenClaw diagnostics, and release-prep documentation:
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2 changes: 1 addition & 1 deletion docs/inference/use-local-inference.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -171,7 +171,7 @@ This does not delete downloaded model files.

```bash
NEMOCLAW_PROVIDER=ollama \
NEMOCLAW_MODEL=qwen2.5:14b \
NEMOCLAW_MODEL=qwen3.5:9b \
$$nemoclaw onboard --non-interactive --yes
```
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3 changes: 3 additions & 0 deletions docs/security/credential-storage.mdx
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Expand Up @@ -54,6 +54,9 @@ This means you can:
- Use short-lived or rotated credentials in CI by exporting them once per pipeline run
- Avoid registering credentials in the gateway entirely if your environment supplies them

When the host environment is empty, day-two operations such as `$$nemoclaw <name> rebuild` and remote-provider updates can reuse the credential already registered with the OpenShell gateway.
Export the credential only when you want to create, replace, or rotate the stored provider value.

## Deploy Reads from Environment Only

`$$nemoclaw deploy` (which provisions a remote Brev box) cannot read secrets back from the gateway, so it requires every credential to be present in the host environment at invocation time.
Expand Down
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