> ## Documentation Index
> Fetch the complete documentation index at: https://openclaw.ai2me.io/llms.txt
> Use this file to discover all available pages before exploring further.
# NVIDIA
NVIDIA serves open models for free through an OpenAI-compatible API at
`https://integrate.api.nvidia.com/v1`, authenticated with an API key from
[build.nvidia.com](https://build.nvidia.com/settings/api-keys). OpenClaw
defaults the NVIDIA provider to Nemotron 3 Ultra, NVIDIA's 550B total / 55B
active reasoning model for long-context agentic work.
## Getting started
Create an API key at [build.nvidia.com](https://build.nvidia.com/settings/api-keys).
```bash theme={"theme":{"light":"min-light","dark":"min-dark"}}
export NVIDIA_API_KEY="nvapi-..."
openclaw onboard --auth-choice nvidia-api-key
```
```bash theme={"theme":{"light":"min-light","dark":"min-dark"}}
openclaw models set nvidia/nvidia/nemotron-3-ultra-550b-a55b
```
For non-interactive setup, pass the key directly:
```bash theme={"theme":{"light":"min-light","dark":"min-dark"}}
openclaw onboard --auth-choice nvidia-api-key --nvidia-api-key "nvapi-..."
```
`--nvidia-api-key` lands the key in shell history and `ps` output. Prefer the
`NVIDIA_API_KEY` environment variable when possible.
## Config example
```json5 theme={"theme":{"light":"min-light","dark":"min-dark"}}
{
env: { NVIDIA_API_KEY: "nvapi-..." },
models: {
providers: {
nvidia: {
baseUrl: "https://integrate.api.nvidia.com/v1",
api: "openai-completions",
},
},
},
agents: {
defaults: {
model: { primary: "nvidia/nvidia/nemotron-3-ultra-550b-a55b" },
},
},
}
```
## Featured catalog
When an NVIDIA API key is configured, setup and model-selection paths fetch
NVIDIA's public featured-model catalog from
`https://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 for
[`nvidia/nemotron-3-ultra-550b-a55b`](https://build.nvidia.com/nvidia/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.
| Model ref | Name | Context | Max output |
| ------------------------------------------ | --------------------- | --------- | ---------- |
| `nvidia/nvidia/nemotron-3-ultra-550b-a55b` | Nemotron 3 Ultra 550B | 1,048,576 | 8,192 |
| `nvidia/nvidia/nemotron-3-super-120b-a12b` | Nemotron 3 Super 120B | 1,000,000 | 8,192 |
| `nvidia/z-ai/glm-5.2` | GLM 5.2 | 202,752 | 8,192 |
| `nvidia/moonshotai/kimi-k2.6` | Kimi K2.6 | 262,144 | 65,536 |
| `nvidia/minimaxai/minimax-m3` | Minimax M3 | 196,608 | 8,192 |
| `nvidia/deepseek-ai/deepseek-v4-pro` | DeepSeek V4 Pro | 262,144 | 16,384 |
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
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.
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.
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.
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:
```json5 theme={"theme":{"light":"min-light","dark":"min-dark"}}
{
agents: {
defaults: {
models: {
"nvidia/nvidia/nemotron-3-ultra-550b-a55b": {
params: {
chat_template_kwargs: { enable_thinking: true },
extra_body: { reasoning_budget: 16384 },
},
},
},
},
},
}
```
`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.
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:
```json5 theme={"theme":{"light":"min-light","dark":"min-dark"}}
{
models: {
providers: {
"custom-integrate-api-nvidia-com": {
baseUrl: "https://integrate.api.nvidia.com/v1",
api: "openai-completions",
apiKey: "NVIDIA_API_KEY",
timeoutSeconds: 300,
},
},
},
agents: {
defaults: {
models: {
"custom-integrate-api-nvidia-com/meta/llama-3.1-70b-instruct": {
params: { thinking: "off" },
},
},
},
},
}
```
NVIDIA models are currently free to use. Check
[build.nvidia.com](https://build.nvidia.com/) for the latest availability and
rate-limit details.
## Related
Choosing providers, model refs, and failover behavior.
Full config reference for agents, models, and providers.