llama-stack-mirror/docs/docs/providers/datasetio/remote_nvidia.mdx
Sébastien Han bc64635835
feat: load config class when doing variable substitution
When using bash style substitution env variable in distribution
template, we are processing the string and convert it to the type
associated with the provider's config class. This allows us to return
the proper type. This is crucial for api key since they are not strings
anymore but SecretStr. If the key is unset we will get an empty string
which will result in a Pydantic error like:

```
ERROR    2025-09-25 21:40:44,565 __main__:527 core::server: Error creating app: 1 validation error for AnthropicConfig
         api_key
           Input should be a valid string
             For further information visit
             https://errors.pydantic.dev/2.11/v/string_type
```

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-09-29 09:55:19 +02:00

29 lines
1,001 B
Text

---
description: "NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform."
sidebar_label: Remote - Nvidia
title: remote::nvidia
---
# remote::nvidia
## Description
NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform.
## Configuration
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `api_key` | `<class 'llama_stack.core.secret_types.MySecretStr'>` | No | | The NVIDIA API key. |
| `dataset_namespace` | `str \| None` | No | default | The NVIDIA dataset namespace. |
| `project_id` | `str \| None` | No | test-project | The NVIDIA project ID. |
| `datasets_url` | `<class 'str'>` | No | http://nemo.test | Base URL for the NeMo Dataset API |
## Sample Configuration
```yaml
api_key: ${env.NVIDIA_API_KEY:=}
dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default}
project_id: ${env.NVIDIA_PROJECT_ID:=test-project}
datasets_url: ${env.NVIDIA_DATASETS_URL:=http://nemo.test}
```