For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocumentationIntegrationsAPI referenceSDKsChangelog
  • Integrations
    • Overview
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On this page
  • Nebius AI models compatibility
  • Add Nebius AI API keys
  • Via UI
IntegrationsModel Providers

Nebius AI

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Nextbit

Use your own Nextbit credits through Respan
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Built with
Set up Respan
  1. Sign up — Create an account at platform.respan.ai
  2. Create an API key — Generate one on the API keys page
  3. Add credits or a provider key — Add credits on the Credits page or connect your own provider key on the Integrations page
Use AI

Add the Docs MCP to your AI coding tool to get help building with Respan. No API key needed.

1{
2 "mcpServers": {
3 "respan-docs": {
4 "url": "https://mcp.respan.ai/mcp/docs"
5 }
6 }
7}
Get Nebius AI API key

Get your Nebius AI API key from the Nebius AI platform to start using Nebius AI models through Respan.

Nebius AI models compatibility

✅ Supported Frameworks
  • OpenAI SDK
  • LangChain SDK
  • Vercel/OpenAI
  • Vercel/Google
  • LlamaIndex SDK
  • Google GenAI
  • Respan native (Otel)
❌ Unsupported Frameworks
  • Anthropic SDK
  • Vercel/Anthropic

To use Respan LLM proxy, you need to add your own credentials to call models from each provider. Here’s how you can add your Nebius AI credentials on Respan platform.

Add Nebius AI API keys

There are 2 ways to add your Nebius AI credentials to your requests:

Via UI

1

Go to the Providers page

The Providers page allows you to add your own credentials for each provider. Currently, over 20+ providers are supported.

Providers Page
2

Add your Nebius AI API key.

Respan Credentials PageRespan Credentials Page
3

Call Nebius AI models

You can now call Nebius AI models on Respan platform.

Go to Models page and select Nebius AI from the provider dropdown.

Respan Credentials PageRespan Credentials Page

Then add the correct Nebius AI model ID in the Model field.

Example
1"model": "nebius/deepseek-ai/DeepSeek-R1"

Check out LLM proxy to know more about how to use the models.