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* feat(nvidia): add NVIDIA provider with onboarding flow Add the NVIDIA build.nvidia.com API as a bundled provider. Default model is nvidia/nvidia/nemotron-3-super-120b-a12b: first segment is the provider id, remaining "nvidia/nemotron-3-super-120b-a12b" is the literal upstream model id (which happens to start with "nvidia/" because NVIDIA is also the model maker). Supporting core change: introduce a provider capability flag nativeIdsIncludeProviderPrefix so providers whose native catalog ids intentionally include their provider prefix (OpenRouter) opt into self-prefix dedupe in modelKey, without hardcoding provider names in core. Providers whose ids merely happen to start with their own name (NVIDIA) leave the flag unset and get the full <provider>/<model-id> concatenation. - extensions/nvidia/*: new plugin, catalog, onboarding, tests, docs - extensions/openrouter/index.ts: declare nativeIdsIncludeProviderPrefix - src/plugins/types.ts: add field to ProviderPlugin - src/plugins/registry.ts: populate self-prefix set on registration - src/agents/provider-self-prefix.ts: sync accessor used by modelKey - src/agents/model-ref-shared.ts: modelKey consults the flag - test updates for affected surfaces Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * refactor(model-picker): simplify literal-prefix display to label-only * fix(model-picker): pass workspaceDir/env to allowlist literal-prefix resolution * chore: untrack generated baseline JSON artifacts (gitignored) * fix(nvidia): show literal model ref in picker and onboarding notes * fix(nvidia): show hint whenever display label differs from stored config * fix(nvidia): drop redundant hint from Keep current label * fix(nvidia): restore literal double-prefix display labels * fix(picker): handle literal-prefix fast path * fix(picker): show literal keep label * fix(docs): update nvidia provider docs * fix(nvidia): update test helper imports * fix(changelog): add nvidia provider entry --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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summary, read_when, title
| summary | read_when | title | ||
|---|---|---|---|---|
| Use NVIDIA's OpenAI-compatible API in OpenClaw |
|
NVIDIA |
NVIDIA provides an OpenAI-compatible API at https://integrate.api.nvidia.com/v1 for
open models for free. Authenticate with an API key from
build.nvidia.com.
Getting started
Create an API key at [build.nvidia.com](https://build.nvidia.com/settings/api-keys). ```bash export NVIDIA_API_KEY="nvapi-..." openclaw onboard --auth-choice nvidia-api-key ``` ```bash openclaw models set nvidia/nvidia/nemotron-3-super-120b-a12b ``` If you pass `--nvidia-api-key` instead of the env var, the value lands in shell history and `ps` output. Prefer the `NVIDIA_API_KEY` environment variable when possible.For non-interactive setup, you can also pass the key directly:
openclaw onboard --auth-choice nvidia-api-key --nvidia-api-key "nvapi-..."
Config example
{
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-super-120b-a12b" },
},
},
}
Built-in catalog
| Model ref | Name | Context | Max output |
|---|---|---|---|
nvidia/nvidia/nemotron-3-super-120b-a12b |
NVIDIA Nemotron 3 Super 120B | 262,144 | 8,192 |
nvidia/moonshotai/kimi-k2.5 |
Kimi K2.5 | 262,144 | 8,192 |
nvidia/minimaxai/minimax-m2.5 |
Minimax M2.5 | 196,608 | 8,192 |
nvidia/z-ai/glm5 |
GLM 5 | 202,752 | 8,192 |