[Jentson Orin][aarch64] OpenClaw TUI HTTP 503 "inference service unavailable"

## Description Description: On Jetson Orin (platform), OpenClaw TUI fails with repeated HTTP 503 inference service unavailable and LLM request timed out when using NVIDIA cloud inference (nemotron-3-super-120b-a12b via integrate.api.nvidia.com). The gateway proxy routes the request correctly (NET:OPEN ALLOWED) but the inference call fails with NET:FAIL on inference.local:443 approximately every 4 seconds, suggesting the request times out before the remote LLM can respond. [Environment] Device: NVIDIA IGX Orin Development Kit OS: Ubuntu 22.04.5 LTS (Jetson L4T R36.4.6) Architecture: aarch64 Node.js: v22.22.2 npm: 10.9.7 Docker: Docker version 29.1.2 OpenShell CLI: 0.0.26 NemoClaw: v0.0.16 OpenClaw: TUI shows openclaw-tui (version not retrievable due to 503 error) [Steps to Reproduce] 1. On Jetson Orin, install NemoClaw and complete onboarding with NVIDIA Endpoints provider 2. Verify sandbox is created: nemoclaw list Output: test2 — model: nvidia/nemotron-3-super-120b-a12b, provider: nvidia-prod 3. Connect to sandbox and launch TUI: nemoclaw test2 connect openclaw tui 4. Send any prompt (e.g. what's your name ) 5. Observe repeated 503 errors and eventual timeout [Expected Result] The TUI should connect to integrate.api.nvidia.com via the gateway inference proxy and return a response from nemotron-3-super-120b-a12b within the configured timeout. [Actual Result] TUI shows repeated errors:

    HTTP 503:  inference service unavailable 
    HTTP 503:  inference service unavailable 
    HTTP 503:  inference service unavailable 
    HTTP 503:  inference service unavailable 
    run error: LLM request timed out.
    connected | error

Gateway logs show a repeating cycle (~4s interval):

    [sandbox] [OCSF] NET:FAIL [LOW] inference.local:443
    [sandbox] [OCSF] NET:OPEN [INFO] ALLOWED inference.local:443
    [sandbox] [INFO] [openshell_router] routing proxy inference request (streaming)
      endpoint=https://integrate.api.nvidia.com/v1
      path=/v1/chat/completions
      protocols=openai_chat_completions,openai_completions,openai_responses,model_discovery

The request is routed and allowed by policy, but fails repeatedly before the LLM can complete inference. Root Cause: The remote NVIDIA cloud inference provider (nvidia-prod) does not have a timeout configured, unlike local providers (vllm, ollama) which set timeout_secs: 180. 1. Missing timeout in blueprint profile: - File: nemoclaw-blueprint/blueprint.yaml - The default nvidia inference profile does NOT define timeout_secs - Local profiles (nim-local, vllm) correctly set timeout_secs: 180 2. Missing --timeout flag for remote providers in onboard: - File: src/lib/onboard.ts (lines 3585-3614) - When running `openshell inference set` for nvidia-prod provider, no --timeout flag is passed - For local providers (vllm-local, ollama-local), the code correctly adds: --timeout , String(LOCAL_INFERENCE_TIMEOUT_SECS) // 180 seconds - For remote providers (nvidia-prod, openai-api, anthropic-prod), NO timeout is added 3. Blueprint runner respects timeout when defined but default profile omits it: - File: nemoclaw/src/blueprint/runner.ts (lines 311-313) - Code: if (inferenceCfg.timeout_secs !== undefined) { inferenceArgs.push( --timeout , ...) } - Since default profile has no timeout_secs, this branch is never taken Without an explicit timeout, OpenShell's gateway uses a very short default HTTP idle timeout. For remote cloud LLM inference (which can take 10-30+ seconds for large models), this default is insufficient, causing the gateway to return 503 before the LLM response arrives. This is likely exacerbated on Jetson Orin due to: - ARM64 platform may have different network stack behavior - Possible additional latency from NVIDIA network path on Jetson devices ## Bug Details | Field | Value | |-------|-------| | Priority | Unprioritized | | Action | Dev - Open - To fix | | Disposition | Open issue | | Module | Machine Learning - NemoClaw | | Keyword | NemoClaw, NEMOCLAW_GH_SYNC_APPROVAL, NemoClaw-SWQA-RelBlckr-Recommended | --- [NVB# 6081485]