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LlamaParse Embedding Model Configs API

The Embedding Model Configs API from LlamaParse — 2 operation(s) for embedding model configs.

LlamaParse Embedding Model Configs API is one of 36 APIs that LlamaParse publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Embedding Model Configs. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, and a getting-started guide.

This API exposes 4 operations across 2 paths, and defines 21 schemas. It is described by OpenAPI 3.2.0, at version 0.1.0.

Requests are made against a single base URL, https://api.cloud.llamaindex.ai.

4 operations 2 paths 21 schemas 1 DELETE1 GET1 POST1 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
0.1.0
Base URL
https://api.cloud.llamaindex.ai
Authentication
HTTP Bearer
Resource Areas
1

Authentication & Security 1

LlamaParse Embedding Model Configs API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (HTTPBearer).

Paths & Operations 4

Across 2 paths, the API surfaces 4 operations — 1 DELETE, 1 GET, 1 POST, 1 PUT. Each is listed below with its method, path, parameters, and response codes.

Embedding Model Configs 4
GET
/api/v1/embedding-model-configs
List Embedding Model Configs
list_embedding_model_configs_api_v1_embedding_model_configs_get 3 params → 200422
POST
/api/v1/embedding-model-configs
Create a new Embedding Model Configuration
create_embedding_model_config_api_v1_embedding_model_configs_post 3 params body → 201422
PUT
/api/v1/embedding-model-configs/{embedding_model_config_id}
Update Embedding Model Config
update_embedding_model_config_api_v1_embedding_model_configs__embedding_model_config_id__put 4 params body → 200422
DELETE
/api/v1/embedding-model-configs/{embedding_model_config_id}
Delete Embedding Model Config
delete_embedding_model_config_api_v1_embedding_model_configs__embedding_model_config_id__delete 4 params → 204422

Schemas 21

The contract defines 21 schemas that model the data the API accepts and returns. The most detailed are AzureOpenAIEmbedding (15 properties), OpenAIEmbedding (13 properties), VertexTextEmbedding (12 properties), BedrockEmbedding (12 properties). Each schema is shown below with its type and property counts.

GeminiEmbeddingConfig
object
2 properties
BedrockEmbedding
object
12 properties
EmbeddingModelConfigUpdate
object
2 properties
CohereEmbeddingConfig
object
2 properties
Pooling
string
Enum of possible pooling choices with pooling behaviors.
OpenAIEmbedding
object
13 properties
CohereEmbedding
object
8 properties 1 required
GeminiEmbedding
object
10 properties
EmbeddingModelConfigCreate
object
2 properties 2 required
HTTPValidationError
object
1 property
BedrockEmbeddingConfig
object
2 properties
EmbeddingModelConfig
object
Schema for an embedding model config.
6 properties 4 required
HuggingFaceInferenceAPIEmbedding
object
12 properties
HuggingFaceInferenceAPIEmbeddingConfig
object
2 properties
VertexTextEmbedding
object
12 properties 6 required
VertexEmbeddingMode
string
Copied from llamaindex.embeddings.vertex.base.VertexEmbeddingMode since importing llamaindex.embeddings.vertex.base incurs a lot of memory usage.
AzureOpenAIEmbedding
object
15 properties
VertexAIEmbeddingConfig
object
2 properties
ValidationError
object
5 properties 3 required
OpenAIEmbeddingConfig
object
2 properties
AzureOpenAIEmbeddingConfig
object
2 properties

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

llamaparse-embedding-model-configs-api-openapi.yml Raw ↑

Other APIs LlamaParse publishes across the network.

LlamaParse Extract API
LlamaParse Classify API
LlamaCloud Index API
LlamaParse Agent Data API
LlamaParse Batch Processing API
LlamaParse Batches API
LlamaParse Beta API
LlamaParse Chat API
LlamaParse Classifier API
LlamaParse Classify API
LlamaParse Configurations API
LlamaParse Data Sinks API
Where this information came from

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