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API Reference
Models
Embeddings

List Embedding Models

client.models.embeddings.list(RequestOptionsoptions?): EmbeddingListResponse { display_name, embedding_dim, embedding_endpoint_type, 12 more }
get/v1/models/embedding

List available embedding models using the asynchronous implementation for improved performance.

Returns EmbeddingModel format which extends EmbeddingConfig with additional metadata fields. Legacy EmbeddingConfig fields are marked as deprecated but still available for backward compatibility.

ReturnsExpand Collapse
EmbeddingListResponse = Array<EmbeddingModel { display_name, embedding_dim, embedding_endpoint_type, 12 more } >
display_name: string

Display name for the model shown in UI

embedding_dim: number

The dimension of the embedding

Deprecatedembedding_endpoint_type: "openai" | "anthropic" | "bedrock" | 16 more

Deprecated: Use 'provider_type' field instead. The endpoint type for the embedding model.

Accepts one of the following:
"openai"
"anthropic"
"bedrock"
"google_ai"
"google_vertex"
"azure"
"groq"
"ollama"
"webui"
"webui-legacy"
"lmstudio"
"lmstudio-legacy"
"llamacpp"
"koboldcpp"
"vllm"
"hugging-face"
"mistral"
"together"
"pinecone"
Deprecatedembedding_model: string

Deprecated: Use 'name' field instead. Embedding model name.

name: string

The actual model name used by the provider

provider_name: string

The name of the provider

provider_type: ProviderType

The type of the provider

Accepts one of the following:
"anthropic"
"azure"
"baseten"
"bedrock"
"cerebras"
"chatgpt_oauth"
"deepseek"
"fireworks"
"google_ai"
"google_vertex"
"groq"
"hugging-face"
"letta"
"lmstudio_openai"
"minimax"
"mistral"
"ollama"
"openai"
"together"
"vllm"
"sglang"
"openrouter"
"xai"
"zai"
"zai_coding"
Deprecatedazure_deployment?: string | null

Deprecated: The Azure deployment for the model.

Deprecatedazure_endpoint?: string | null

Deprecated: The Azure endpoint for the model.

Deprecatedazure_version?: string | null

Deprecated: The Azure version for the model.

Deprecatedbatch_size?: number

Deprecated: The maximum batch size for processing embeddings.

Deprecatedembedding_chunk_size?: number | null

Deprecated: The chunk size of the embedding.

Deprecatedembedding_endpoint?: string | null

Deprecated: The endpoint for the model.

handle?: string | null

The handle for this config, in the format provider/model-name.

model_type?: "embedding"

Type of model (llm or embedding)

List Embedding Models
import Letta from '@letta-ai/letta-client';

const client = new Letta({
  apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted
});

const embeddingModels = await client.models.embeddings.list();

console.log(embeddingModels);
[
  {
    "display_name": "display_name",
    "embedding_dim": 0,
    "embedding_endpoint_type": "openai",
    "embedding_model": "embedding_model",
    "name": "name",
    "provider_name": "provider_name",
    "provider_type": "anthropic",
    "azure_deployment": "azure_deployment",
    "azure_endpoint": "azure_endpoint",
    "azure_version": "azure_version",
    "batch_size": 0,
    "embedding_chunk_size": 0,
    "embedding_endpoint": "embedding_endpoint",
    "handle": "handle",
    "model_type": "embedding"
  }
]
Returns Examples
[
  {
    "display_name": "display_name",
    "embedding_dim": 0,
    "embedding_endpoint_type": "openai",
    "embedding_model": "embedding_model",
    "name": "name",
    "provider_name": "provider_name",
    "provider_type": "anthropic",
    "azure_deployment": "azure_deployment",
    "azure_endpoint": "azure_endpoint",
    "azure_version": "azure_version",
    "batch_size": 0,
    "embedding_chunk_size": 0,
    "embedding_endpoint": "embedding_endpoint",
    "handle": "handle",
    "model_type": "embedding"
  }
]