pi-nvidia

Pi extension for NVIDIA NIM — the hosted inference platform behind build.nvidia.com.

Wires four hosted (serverless) capabilities against NVIDIA's two API bases, plus a placeholder for Riva ASR/TTS (self-hosted, not wired).

Setup

export NVIDIA_NIM_API_KEY=sk-...        # from https://build.nvidia.com (free tier)

Install like any pi extension:

npm install pi-nvidia

Then restart pi so the nvidia provider is loaded.

Capabilities

| Capability | Endpoint | Status | |---|---|---| | Chat (text) | POST https://integrate.api.nvidia.com/v1/chat/completions | ✅ live-verified | | Vision (VLM, image→text) | same, image_url content part | ✅ live-verified (described a test image correctly) | | Embeddings | POST https://integrate.api.nvidia.com/v1/embeddings | ✅ endpoint verified; pi's openai-compat core calls it for embedding models | | Image generation | POST https://ai.api.nvidia.com/v1/genai/<namespace>/<model> | ✅ route confirmed (GET→405); generation body per NVIDIA docs | | Riva ASR / TTS | {NVIDIA_RIVA_URL}/v2/asrapi/recognize · .../synthesize | ⚠️ placeholder only — see below |

Two API bases

NVIDIA splits its hosted models across two hosts:

• Unified OpenAI-compatible base — https://integrate.api.nvidia.com/v1 serves chat, vision, and embeddings (addressed by model in the request body). This is what the extension uses for everything except images.
• Per-model genai base — https://ai.api.nvidia.com/v1/genai/<namespace>/<model> serves image-generation microservices. The model id (e.g. black-forest-labs/flux.1-schnell) is in the URL path, not the body; the body is {"prompt": "...", "steps": 4, "seed": 0}.

Image generation

Generated images are saved under .pi/generated-images/ and reported as a clickable link (OSC 8 hyperlink). The handler tolerates the common response shapes: {data:[{url}]}, {data:[{b64_json}]}, {images:[{image}]}, {image}, or a raw image body.

Riva ASR / TTS — placeholder

parakeet / canary (ASR) and chatterbox (TTS) are self-hosted NIMs. There is no fixed hosted endpoint — probing ai.api.nvidia.com/v1/{riva,asr,tts,nemo,speech,genai}/<model> all return 404.

To wire them later, set NVIDIA_RIVA_URL to your deployed Riva/NIM instance and call:

• ASR — POST {NVIDIA_RIVA_URL}/v2/asrapi/recognize with {"audio": "<base64>", "config": {"language_code": "en-US", ...}}
• TTS — POST {NVIDIA_RIVA_URL}/v2/ttsapi/synthesize with {"text": "...", "language_code": "...", "voice": {...}}

streamRivaASR / streamRivaTTS exist as stubs but are not dispatched.

Commands

Three commands show what a provider usually advertises. Tab-completion is provided after /nvidia-….

/nvidia-capabilities [vision|image|embed|reasoning|tools]

Per-model capability table; the optional filter narrows to models that have that capability.

/nvidia-capabilities
/nvidia-capabilities vision

| Model | Type | Vision | Image | Embed | Reasoning | Tools | |---|---|:---:|:---:|:---:|:---:|:---:| | openai/gpt-oss-20b | chat | — | — | — | — | ✓ | | nvidia/llama-3.2-nemoretriever-1b-vlm-embed-v1 | embed | — | — | ✓ | — | — | | black-forest-labs/flux.1-schnell | imggen | — | ✓ | — | — | — | | meta/llama-3.2-11b-vision-instruct | vlm | ✓ | — | — | — | ✓ |

/nvidia-context [context|max] [asc|desc]

Context window and max output tokens, sortable. Defaults to context asc.

/nvidia-context max desc

/nvidia-usage

Opens the build.nvidia.com usage page in your browser. There is deliberately no data table — NVIDIA exposes no usage/quota API. Probed 2026-08-29:

| Endpoint | Result | |---|---| | /v1/usage · /v1/quotas · /v1/accounts · /v1/rate-limits · /v1/billing | 404 | | build.nvidia.com/v1/analytics/budget_usage | text/html (SPA, not JSON) | | build.nvidia.com/v1/analytics/cli-summary | text/html (SPA, not JSON) | | chat-completion response headers | no rate-limit headers |

Usage/quota is only visible in the build.nvidia.com web UI (session login, not the nvapi-… API key).

Where the capability and context numbers come from

GET /v1/models and GET /v1/models/{id} both return only { id, object, created, owned_by } — NVIDIA publishes no context window, max tokens, modality, or pricing metadata. So:

• Context / max output — from each model's NIM docs page, which embeds an OpenAPI schema (max_tokens.maximum is authoritative, e.g. 8192 for the Llama 3.2 Vision models), plus model cards. Unlisted models fall back to the registered 131072 / 65536 defaults, and the table says so. Image models show — because they take steps, not tokens.
• Capabilities — vision / image / embed are derived from the model id (VLM set, image-gen set, embed in the name) and are reliable. reasoning / tools come from model cards and are conservative: live verification was blocked because integrate.api.nvidia.com was returning HTTP 500 for every request while this was written.

Notes

• The seed list is a representative subset; the full chat/VLM/embedding catalog is fetched from /v1/models in the background and cached on disk.
• Image-generation models are merged from a fixed list (they are not in the unified /v1/models catalog).
• If you also use pi-cn-free-model-providers, it registers its own nvidia provider (chat only). Load one or the other to avoid an id clash.