---
title: "List Embedding Models"
method: GET
path: "/v1/models/embedding"
tags: ["models", "llms"]
---

# List Embedding Models

`GET /v1/models/embedding`

List available embedding models using the asynchronous implementation for improved performance

## Response `200`

Successful Response

- EmbeddingConfig[]
  - `embedding_endpoint_type` 'openai' | 'anthropic' | 'bedrock' | 'google_ai' | 'google_vertex' | 'azure' | 'groq' | 'ollama' | 'webui' | 'webui-legacy' | 'lmstudio' | 'lmstudio-legacy' | 'llamacpp' | 'koboldcpp' | 'vllm' | 'hugging-face' | 'mistral' | 'together' | 'pinecone', required — The endpoint type for the model.
  - `embedding_endpoint` string, nullable — The endpoint for the model (`None` if local).
  - `embedding_model` string, required — The model for the embedding.
  - `embedding_dim` integer, required — The dimension of the embedding.
  - `embedding_chunk_size` integer, nullable — The chunk size of the embedding.
  - `handle` string, nullable — The handle for this config, in the format provider/model-name.
  - `batch_size` integer — The maximum batch size for processing embeddings.
  - `azure_endpoint` string, nullable — The Azure endpoint for the model.
  - `azure_version` string, nullable — The Azure version for the model.
  - `azure_deployment` string, nullable — The Azure deployment for the model.

## Other responses

- `422` — Validation Error

---

[API](https://skmtc.dev/yu-code666/apis/letta-api.md) · [All operations](https://skmtc.dev/yu-code666/apis/letta-api/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/yu-code666/letta-api/revisions/6cec99480c13/schema)