feat(inference): add Nemotron 3 Nano Omni to CLOUD_MODEL_OPTIONS (#2628)

## Summary

Adds `nvidia/nemotron-3-nano-omni-30b-a3b-reasoning` (label: *Nemotron 3
Nano Omni 30B*) to the curated cloud model picker. Super 120B remains
the default.

## Motivation

The multimodal `hermes-omni-demo` cookbook in
[brevdev/nemoclaw-demos](https://github.com/brevdev/nemoclaw-demos/tree/main/hermes-omni-demo)
currently has to do a post-onboard `openshell inference set --model
private/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning` to switch the
gateway from Super to Omni, because the wizard only exposes Super. The
current cookbook frames this as *"You picked Super 120B during
onboarding because that's what the menu offers, but this cookbook needs
Omni..."* — that workaround is awkward and reviewers in
[brevdev/nemoclaw-demos#23](brevdev/nemoclaw-demos#23)
have called it out as an abuse of the installer.

Adding Omni here lets users select it during `nemoclaw onboard` directly
and lets multimodal cookbooks drop the manual swap step entirely.

## Test plan

- [ ] Existing `inference-config.test.ts` updated to include the new
model id in the expected list — runs as part of `npm test`
- [ ] `nemoclaw onboard --agent hermes` shows Omni as option in the
model picker
- [ ] Selecting it produces a sandbox with `Model:
private/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning` in `nemoclaw
<name> status`

## Files changed

- `src/lib/inference-config.ts` — one new entry in `CLOUD_MODEL_OPTIONS`
- `src/lib/inference-config.test.ts` — matching expected-list update

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **New Features**
* NVIDIA Nemotron 3 Nano Omni 30B added to cloud model selection for
users to choose.

* **Tests**
* Automated tests updated to include the new cloud model option and to
reflect adjusted selection ordering used in onboarding and default-model
scenarios.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Signed-off-by: Aaron Erickson <aerickson@nvidia.com>

---------

Signed-off-by: Patrick Moorhead <pmoorhead@nvidia.com>
Signed-off-by: Aaron Erickson <aerickson@nvidia.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: Aaron Erickson 🦞 <aerickson@nvidia.com>

Author: 3 people

src/lib/inference-config.test.ts

@@ -22,6 +22,7 @@ describe("inference selection config", () => {
   it("exposes the curated cloud model picker options", () => {
     expect(CLOUD_MODEL_OPTIONS.map((option: { id: string }) => option.id)).toEqual([
       "nvidia/nemotron-3-super-120b-a12b",
+      "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning",
       "z-ai/glm-5.1",
       "minimaxai/minimax-m2.7",
       "openai/gpt-oss-120b",

src/lib/inference-config.ts

@@ -12,6 +12,7 @@ export const INFERENCE_ROUTE_URL = "https://inference.local/v1";
 export const DEFAULT_CLOUD_MODEL = "nvidia/nemotron-3-super-120b-a12b";
 export const CLOUD_MODEL_OPTIONS = [
   { id: "nvidia/nemotron-3-super-120b-a12b", label: "Nemotron 3 Super 120B" },
+  { id: "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning", label: "Nemotron 3 Nano Omni 30B" },
   { id: "z-ai/glm-5.1", label: "GLM-5" },
   { id: "minimaxai/minimax-m2.7", label: "MiniMax M2.7" },
   { id: "openai/gpt-oss-120b", label: "GPT-OSS 120B" },

src/lib/model-prompts.test.ts

@@ -32,7 +32,7 @@ describe("model prompt helpers", () => {
   });
 
   it("returns DeepSeek V4 Pro from the default cloud model menu", async () => {
-    const promptFn = promptSequence(["5"]);
+    const promptFn = promptSequence(["6"]);
     const result = await promptCloudModel({
       promptFn,
       writeLine: vi.fn(),

test/onboard-selection.test.ts

@@ -320,7 +320,7 @@ printf '%s' "$status"
 const credentials = require(${credentialsPath});
 const runner = require(${runnerPath});
 
-const answers = ["1", "5"];
+const answers = ["1", "6"];
 const messages = [];
 
 credentials.prompt = async (message) => {
@@ -421,7 +421,7 @@ printf '%s' "$status"
 const credentials = require(${credentialsPath});
 const runner = require(${runnerPath});
 
-const answers = ["1", "6", "custom/provider-model"];
+const answers = ["1", "7", "custom/provider-model"];
 const messages = [];
 
 credentials.prompt = async (message) => {
@@ -517,7 +517,7 @@ printf '%s' "$status"
 const credentials = require(${credentialsPath});
 const runner = require(${runnerPath});
 
-const answers = ["1", "6", "bad/model", "z-ai/glm-5.1"];
+const answers = ["1", "7", "bad/model", "z-ai/glm-5.1"];
 const messages = [];
 
 credentials.prompt = async (message) => {