https://integrate.api.nvidia.com/v1, authenticated with an API key from
build.nvidia.com. OpenClaw
defaults the NVIDIA provider to Nemotron 3 Ultra, NVIDIA’s 550B total / 55B
active reasoning model for long-context agentic work.
Getting started
1
Get your API key
Create an API key at build.nvidia.com.
2
Export the key and run onboarding
3
Set an NVIDIA model
Config example
Featured catalog
When an NVIDIA API key is configured, setup and model-selection paths fetch NVIDIA’s public featured-model catalog fromhttps://assets.ngc.nvidia.com/products/api-catalog/featured-models.json and
cache the result for 24 hours (first 32 entries, imported as free text-input
rows). New or republished featured models from build.nvidia.com therefore appear
in setup and model-selection surfaces after the cache refreshes, without waiting
for an OpenClaw release. A fresh NVIDIA catalog overrides bundled retirement
metadata. When the live feed is available, its first model is preselected during
NVIDIA setup.
The fetch uses a fixed HTTPS host policy for assets.ngc.nvidia.com. If no
NVIDIA API key is configured, or if the feed is unavailable or malformed,
OpenClaw falls back to the bundled catalog and bundled default below.
Nemotron 3 Ultra
Nemotron 3 Ultra is the default NVIDIA model in OpenClaw. NVIDIA’s build page fornvidia/nemotron-3-ultra-550b-a55b
lists it as an available free endpoint with a 1M-token context specification.
The bundled Ultra row sends
chat_template_kwargs: { enable_thinking: false, force_nonempty_content: true }
by default so normal chat output stays in the visible answer instead of
exposing reasoning text.
Use Ultra for the highest-capability NVIDIA default. Keep Super selected when
you want the smaller Nemotron 3 option, or choose one of the third-party models
hosted in NVIDIA’s catalog when their context, latency, or behavior fits better.
Bundled fallback catalog
The selectable bundled rows snapshot NVIDIA’s featured-model catalog. Deprecated compatibility rows keep existing exact model references recognizable but stay out of model pickers.
The full compatibility catalog also retains these shipped refs for existing
configurations and migration:
nvidia/qwen/qwen3.5-397b-a17b,
nvidia/moonshotai/kimi-k2.5, nvidia/z-ai/glm-5.1, nvidia/z-ai/glm5, and
nvidia/minimaxai/minimax-m2.7. These references stay hidden from bundled and
offline model pickers unless NVIDIA republishes them in its featured catalog.
NVIDIA has retired the Qwen endpoint, so requests using its model reference no
longer work. Migrate existing Qwen configurations to an active model.
Advanced configuration
Auto-enable behavior
Auto-enable behavior
The provider auto-enables when the
NVIDIA_API_KEY environment variable is
set or a key was stored during onboarding. No explicit provider config is
required beyond the key.Catalog and pricing
Catalog and pricing
OpenClaw prefers NVIDIA’s public featured-model catalog when NVIDIA auth is
configured and caches it for 24 hours. The bundled selectable fallback is a
static snapshot of NVIDIA’s featured-model catalog; deprecated exact-reference
compatibility rows stay hidden from that fallback. Fresh featured rows can
restore models that NVIDIA has republished. Costs default to
0 in source
since NVIDIA currently offers free API access for the listed models.OpenAI-compatible endpoint
OpenAI-compatible endpoint
OpenClaw talks to NVIDIA with the
openai-completions adapter against the
standard /v1 chat completions route. Any OpenAI-compatible tooling should
work out of the box with the NVIDIA base URL.Nemotron 3 Ultra reasoning params
Nemotron 3 Ultra reasoning params
NVIDIA’s Ultra sample request uses
chat_template_kwargs.enable_thinking
and reasoning_budget for reasoning output. OpenClaw’s bundled Ultra row
disables template thinking by default for normal chat use. If you need to
opt into NVIDIA reasoning output or force other NVIDIA-specific request
fields, set per-model params and keep provider-specific overrides scoped to
the NVIDIA model:params.chat_template_kwargs merges into any chat_template_kwargs
already on the request instead of replacing the whole object.
params.extra_body is the final OpenAI-compatible request-body override
and overwrites colliding payload keys, so use it only for fields NVIDIA
documents for the selected endpoint.Slow custom provider responses
Slow custom provider responses
Some NVIDIA-hosted custom models can take longer than the default ~120s
model idle watchdog before they emit a first response chunk. For custom
NVIDIA provider entries, raise the provider timeout instead of the whole
agent runtime timeout;
timeoutSeconds covers provider HTTP requests and
raises the idle/stream watchdog ceiling for that provider:Related
Model selection
Choosing providers, model refs, and failover behavior.
Configuration reference
Full config reference for agents, models, and providers.