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Inference profiles

NemoClaw ships with inference profiles defined in blueprint.yaml. Each profile configures an OpenShell inference provider and model route. The agent inside the sandbox uses whichever provider and model is active. Inference requests are routed transparently through the OpenShell gateway — they never leave the sandbox directly.
Two setup paths, two provider names. When using openclaw nemoclaw launch or openclaw nemoclaw migrate, the blueprint creates providers with the names in the table below (for example, nvidia-inference). When using the standalone nemoclaw onboard wizard, the provider is named nvidia-nim instead. The provider name matters when running openshell inference set to switch models.

Profile summary

Available models

The nvidia-inference provider registers the following models from build.nvidia.com: The default profile activates Nemotron 3 Super 120B. You can switch to any model in the catalog at runtime without restarting the sandbox.

Provider types

The default profile routes inference to NVIDIA’s hosted API at build.nvidia.com. This is the recommended option for most users — it requires no local infrastructure.Profile: defaultGetting an API key:
  1. Go to build.nvidia.com and sign in.
  2. Navigate to Settings → API Keys.
  3. Create a new key and copy it.
  4. Pass it to openclaw nemoclaw onboard --api-key <key> or set NVIDIA_API_KEY in your environment.
The onboard wizard stores the key in ~/.nemoclaw/credentials.json (mode 600).Onboard:
Switch model at runtime:
The change takes effect immediately. No sandbox restart is needed.

Enabling experimental providers

Local inference options (NIM, vLLM, Ollama, custom) are hidden by default. Set the NEMOCLAW_EXPERIMENTAL environment variable to expose them in the interactive menu:
You can also pass --endpoint directly without the environment variable — NemoClaw will issue a warning but proceed:

Credentials

Credentials are stored in ~/.nemoclaw/credentials.json with file permissions set to 600. The credential environment variable used depends on the endpoint type:

Switching models at runtime

After the sandbox is running, switch the active model with the OpenShell CLI. The provider name depends on the setup method used:
The blueprint creates a provider named nvidia-inference:
The change takes effect immediately. No sandbox restart is needed.