feat(api)!: support passing extra_body to embeddings and vector_stores APIs

Applies the same pattern from #3777 to embeddings and vector_stores.create() endpoints.

Breaking change: Method signatures now accept a single params object with Pydantic extra="allow" instead of individual parameters. Provider-specific params can be passed via extra_body and accessed through params.model_extra.

Updated APIs: openai_embeddings(), openai_create_vector_store(), openai_create_vector_store_file_batch()
This commit is contained in:
Ashwin Bharambe 2025-10-11 15:27:47 -07:00
parent cfd2e303db
commit 74e2976c1e
20 changed files with 364 additions and 297 deletions

View file

@ -1203,7 +1203,7 @@ paths:
content:
application/json:
schema:
$ref: '#/components/schemas/OpenaiEmbeddingsRequest'
$ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody'
required: true
deprecated: true
/v1/openai/v1/files:
@ -1792,13 +1792,16 @@ paths:
tags:
- VectorIO
summary: Creates a vector store.
description: Creates a vector store.
description: >-
Creates a vector store.
Generate an OpenAI-compatible vector store with the given parameters.
parameters: []
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/OpenaiCreateVectorStoreRequest'
$ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody'
required: true
deprecated: true
/v1/openai/v1/vector_stores/{vector_store_id}:
@ -1924,7 +1927,11 @@ paths:
tags:
- VectorIO
summary: Create a vector store file batch.
description: Create a vector store file batch.
description: >-
Create a vector store file batch.
Generate an OpenAI-compatible vector store file batch for the given vector
store.
parameters:
- name: vector_store_id
in: path
@ -1937,7 +1944,7 @@ paths:
content:
application/json:
schema:
$ref: '#/components/schemas/OpenaiCreateVectorStoreFileBatchRequest'
$ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody'
required: true
deprecated: true
/v1/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}:
@ -6035,7 +6042,7 @@ components:
title: OpenAICompletionChoice
description: >-
A choice from an OpenAI-compatible completion response.
OpenaiEmbeddingsRequest:
OpenAIEmbeddingsRequestWithExtraBody:
type: object
properties:
model:
@ -6054,6 +6061,7 @@ components:
multiple inputs in a single request, pass an array of strings.
encoding_format:
type: string
default: float
description: >-
(Optional) The format to return the embeddings in. Can be either "float"
or "base64". Defaults to "float".
@ -6071,7 +6079,9 @@ components:
required:
- model
- input
title: OpenaiEmbeddingsRequest
title: OpenAIEmbeddingsRequestWithExtraBody
description: >-
Request parameters for OpenAI-compatible embeddings endpoint.
OpenAIEmbeddingData:
type: object
properties:
@ -9147,19 +9157,18 @@ components:
- metadata
title: VectorStoreObject
description: OpenAI Vector Store object.
OpenaiCreateVectorStoreRequest:
"OpenAICreateVectorStoreRequestWithExtraBody":
type: object
properties:
name:
type: string
description: A name for the vector store.
description: (Optional) A name for the vector store
file_ids:
type: array
items:
type: string
description: >-
A list of File IDs that the vector store should use. Useful for tools
like `file_search` that can access files.
List of file IDs to include in the vector store
expires_after:
type: object
additionalProperties:
@ -9171,7 +9180,7 @@ components:
- type: array
- type: object
description: >-
The expiration policy for a vector store.
(Optional) Expiration policy for the vector store
chunking_strategy:
type: object
additionalProperties:
@ -9183,8 +9192,7 @@ components:
- type: array
- type: object
description: >-
The chunking strategy used to chunk the file(s). If not set, will use
the `auto` strategy.
(Optional) Strategy for splitting files into chunks
metadata:
type: object
additionalProperties:
@ -9196,21 +9204,25 @@ components:
- type: array
- type: object
description: >-
Set of 16 key-value pairs that can be attached to an object.
Set of key-value pairs that can be attached to the vector store
embedding_model:
type: string
description: >-
The embedding model to use for this vector store.
(Optional) The embedding model to use for this vector store
embedding_dimension:
type: integer
default: 384
description: >-
The dimension of the embedding vectors (default: 384).
(Optional) The dimension of the embedding vectors (default: 384)
provider_id:
type: string
description: >-
The ID of the provider to use for this vector store.
(Optional) The ID of the provider to use for this vector store
additionalProperties: false
title: OpenaiCreateVectorStoreRequest
title: >-
OpenAICreateVectorStoreRequestWithExtraBody
description: >-
Request to create a vector store with extra_body support.
OpenaiUpdateVectorStoreRequest:
type: object
properties:
@ -9331,7 +9343,7 @@ components:
title: VectorStoreChunkingStrategyStaticConfig
description: >-
Configuration for static chunking strategy.
OpenaiCreateVectorStoreFileBatchRequest:
"OpenAICreateVectorStoreFileBatchRequestWithExtraBody":
type: object
properties:
file_ids:
@ -9339,7 +9351,7 @@ components:
items:
type: string
description: >-
A list of File IDs that the vector store should use.
A list of File IDs that the vector store should use
attributes:
type: object
additionalProperties:
@ -9351,16 +9363,19 @@ components:
- type: array
- type: object
description: >-
(Optional) Key-value attributes to store with the files.
(Optional) Key-value attributes to store with the files
chunking_strategy:
$ref: '#/components/schemas/VectorStoreChunkingStrategy'
description: >-
(Optional) The chunking strategy used to chunk the file(s). Defaults to
auto.
auto
additionalProperties: false
required:
- file_ids
title: OpenaiCreateVectorStoreFileBatchRequest
title: >-
OpenAICreateVectorStoreFileBatchRequestWithExtraBody
description: >-
Request to create a vector store file batch with extra_body support.
VectorStoreFileBatchObject:
type: object
properties: