> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Nebius

> Parameters for NebiusEmbedder, an OpenAI-compatible embedder for Nebius Token Factory embedding models.

Nebius Embedder embeds documents using Nebius Token Factory's embedding models. It extends the OpenAI Embedder class and uses a compatible API interface.

> [!WARNING]
>
> The SDK default, `BAAI/bge-en-icl`, is retired. Select an active embedding model with the [Nebius List Models API](https://docs.tokenfactory.nebius.com/api-reference/models/list-models), then override `id` and `dimensions`.

### Parameters

| Parameter | Type | Description | Default |
| - | - | - | - |
| `id` | `str` | The model ID to use for embeddings | `"BAAI/bge-en-icl"` |
| `dimensions` | `int` | Output dimensions requested from the selected model | `1024` |
| `encoding_format` | `Literal["float", "base64"]` | Format of the embedding output | `"float"` |
| `user` | `Optional[str]` | A unique identifier representing your end-user | `None` |
| `api_key` | `Optional[str]` | Nebius API key | Environment variable `NEBIUS_API_KEY` |
| `organization` | `Optional[str]` | Organization ID for API requests | `None` |
| `base_url` | `str` | Base URL for API requests | `"https://api.tokenfactory.nebius.com/v1/"` |
| `request_params` | `Optional[Dict[str, Any]]` | Additional parameters for embedding requests | `None` |
| `client_params` | `Optional[Dict[str, Any]]` | Additional parameters for client initialization | `None` |
| `openai_client` | `Optional[OpenAIClient]` | Pre-configured OpenAI client | `None` |
| `async_client` | `Optional[AsyncOpenAI]` | Pre-configured async OpenAI client, used for async embedding calls | `None` |
| `enable_batch` | `bool` | Enable batch processing to reduce API calls | `False` |
| `batch_size` | `int` | Number of texts to process in each API call | `100` |


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