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openclaw - 💡(How to fix) Fix Add native support for NVIDIA API keys / NVIDIA NIM provider [5 comments, 4 participants]

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openclaw/openclaw#50898•Fetched 2026-04-08 01:06:48
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Add native support for NVIDIA API keys / NVIDIA NIM as a first-class provider in OpenClaw.

Root Cause

Add native support for NVIDIA API keys / NVIDIA NIM as a first-class provider in OpenClaw.

Fix Action

Fix / Workaround

Problem

Right now, users who want to use NVIDIA-hosted models or NVIDIA API keys may need to rely on workarounds, provider emulation, or custom compatibility layers.

Why this would help

  • makes NVIDIA-backed models easier to configure
  • reduces confusion around which key type is supported where
  • avoids fragile workarounds
  • improves documentation clarity for users who want to run NVIDIA-served models

Use case

I wanted to connect model access using an NVIDIA key flow, but the current setup path was unclear and appeared to require indirect workarounds instead of a documented native integration.

RAW_BUFFERClick to expand / collapse

Summary

Add native support for NVIDIA API keys / NVIDIA NIM as a first-class provider in OpenClaw.

Problem

Right now, users who want to use NVIDIA-hosted models or NVIDIA API keys may need to rely on workarounds, provider emulation, or custom compatibility layers.

That makes setup less obvious and less reliable than providers that already have explicit support.

Proposal

Add a dedicated NVIDIA provider/module with documented configuration for:

  • API key handling
  • base URL / endpoint configuration
  • model selection
  • compatibility with OpenClaw's existing provider routing and model configuration

Why this would help

  • makes NVIDIA-backed models easier to configure
  • reduces confusion around which key type is supported where
  • avoids fragile workarounds
  • improves documentation clarity for users who want to run NVIDIA-served models

Expected behavior

A user should be able to configure NVIDIA as a standard provider in OpenClaw, similar to other supported providers, using a documented config path and NVIDIA API key.

Use case

I wanted to connect model access using an NVIDIA key flow, but the current setup path was unclear and appeared to require indirect workarounds instead of a documented native integration.

Notes

Even an initial implementation focused on core chat/completions support would already be very useful.

extent analysis

Fix Plan

To add native support for NVIDIA API keys, we will create a dedicated NVIDIA provider module.

Steps:

  • Create a new module nvidia_provider.py with the following code:
import requests

class NVIDIAPROVIDER:
    def __init__(self, api_key, base_url):
        self.api_key = api_key
        self.base_url = base_url

    def get_model(self, model_name):
        # Implement API key handling and model selection
        headers = {'Authorization': f'Bearer {self.api_key}'}
        response = requests.get(f'{self.base_url}/models/{model_name}', headers=headers)
        return response.json()
  • Update the provider_routing.py file to include the NVIDIA provider:
from nvidia_provider import NVIDIAPROVIDER

providers = {
    # ... existing providers ...
    'nvidia': NVIDIAPROVIDER
}
  • Add a documented configuration for NVIDIA API key handling and base URL configuration:
# config.yml
providers:
  nvidia:
    api_key: 'YOUR_NVIDIA_API_KEY'
    base_url: 'https://api.nvidia.com'
  • Implement compatibility with OpenClaw's existing provider routing and model configuration.

Verification

To verify the fix, create a test case that uses the NVIDIA provider to access a model:

import unittest
from nvidia_provider import NVIDIAPROVIDER

class TestNVIDIAPROVIDER(unittest.TestCase):
    def test_get_model(self):
        provider = NVIDIAPROVIDER('YOUR_NVIDIA_API_KEY', 'https://api.nvidia.com')
        model_name = 'YOUR_MODEL_NAME'
        response = provider.get_model(model_name)
        self.assertEqual(response.status_code, 200)

Extra Tips

  • Make sure to handle errors and exceptions properly in the NVIDIAPROVIDER class.
  • Consider adding support for other NVIDIA API features, such as model training and deployment.
  • Update the documentation to reflect the new NVIDIA provider and its configuration options.

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FAQ

Expected behavior

A user should be able to configure NVIDIA as a standard provider in OpenClaw, similar to other supported providers, using a documented config path and NVIDIA API key.

#api#ssr#installation#tensor shape#autograd error#permission error#memory optimization#batch processing#GPU compatibility

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