InferenceHosted Inference

Set Up Model Router

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Model Router runs on the host and selects a model from a configured pool for each request. OpenShell registers it as an OpenAI-compatible provider while the sandbox remains on inference.local.

How the Router Fits

The Model Router option uses the routed inference profile in nemoclaw-blueprint/blueprint.yaml. During onboarding, NemoClaw starts the router proxy on host port 4000, waits for its health endpoint, and registers the nvidia-router provider with OpenShell. The sandbox does not call port 4000 directly.

Sandbox agent -> OpenShell -> Model Router on port 4000 -> NVIDIA API

Credentials flow through the OpenShell provider system. The sandbox never sees raw API keys.

Configure the Model Pool

The router model pool lives in nemoclaw-blueprint/router/pool-config.yaml. Edit that file to define the model names that the router can select.

The default pool routes between NVIDIA-hosted Nemotron models. It uses tolerance to select the lowest-cost model whose predicted quality stays within the configured threshold.

1routing:
2  method: prefill
3  checkpoint: llm-router/checkpoints/prefill_router_qwen08b.pt
4  tolerance: 0.20
5  encoder: Qwen/Qwen3.5-0.8B
6
7models:
8  - name: nano
9    litellm_model: "openai/nvidia/Nemotron-3-Nano-30B-A3B"
10    cost_per_m_input_tokens: 0.05
11    api_base: "https://integrate.api.nvidia.com"
12
13  - name: super
14    litellm_model: "openai/nvidia/nemotron-3-super-120b-a12b"
15    cost_per_m_input_tokens: 0.10
16    api_base: "https://integrate.api.nvidia.com"

Use these values to tune the accuracy and cost tradeoff.

ValueBehavior
0.0Always select the most accurate model.
0.20Allow up to 20 percentage points below the best result for a cheaper model.
1.0Always select the cheapest model.

Meet the Python Requirement

NemoClaw creates a host-side virtual environment for Model Router during onboarding. It probes python3.13, python3.12, python3.11, python3.10, and python3 in that order. The selected interpreter must have a version in the range [3.10, 3.14) and must import ensurepip, pyexpat, ssl, and venv without error.

If no candidate qualifies, onboarding stops and prints the failure for each candidate. Set NEMOCLAW_MODEL_ROUTER_PYTHON to an absolute path to probe only one interpreter.

$NEMOCLAW_MODEL_ROUTER_PYTHON=/opt/homebrew/bin/python3.12 nemo-deepagents onboard

The pin is strict. NemoClaw rejects relative command names and stops with the failure reason if the selected interpreter does not qualify.

Onboard Non-Interactively

Set the routed provider and NVIDIA credential before running onboarding.

$NEMOCLAW_PROVIDER=routed NVIDIA_INFERENCE_API_KEY=<your-key> nemo-deepagents onboard --non-interactive