---
slug: python-reference/EmbeddingConfig
---

<a id="letta.schemas.embedding_config.EmbeddingConfig"></a>

## EmbeddingConfig

```python
class EmbeddingConfig(BaseModel)
```

Embedding model configuration. This object specifies all the information necessary to access an embedding model to usage with Letta, except for secret keys.

**Attributes**:

- `embedding_endpoint_type` _str_ - The endpoint type for the model.
- `embedding_endpoint` _str_ - The endpoint for the model.
- `embedding_model` _str_ - The model for the embedding.
- `embedding_dim` _int_ - The dimension of the embedding.
- `embedding_chunk_size` _int_ - The chunk size of the embedding.
- `azure_endpoint` _:obj:`str`, optional_ - The Azure endpoint for the model (Azure only).
- `azure_version` _str_ - The Azure version for the model (Azure only).
- `azure_deployment` _str_ - The Azure deployment for the model (Azure only).