The Embeddings API from LLM Gateway — 1 operation(s) for embeddings.
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openapi: 3.2.0
info:
version: 1.0.0
title: LLM Gateway Embeddings API
description: 'OpenAI-compatible LLM gateway: chat completions, embeddings, images, audio, video, moderation, OCR, rerank, web search and typed decisions across providers with one API key.'
servers:
- url: https://api.llmgateway.io
- url: http://localhost:4001
tags:
- name: Embeddings
paths:
/v1/embeddings:
post:
operationId: v1_embeddings
summary: Embeddings
description: Generate vector embeddings for one or more inputs using an OpenAI-compatible embeddings model.
security:
- bearerAuth: []
requestBody:
content:
application/json:
schema:
type: object
properties:
input:
anyOf:
- type: string
- type: array
items:
type: string
- type: array
items:
type: integer
- type: array
items:
type: array
items:
type: integer
description: Input text to embed. A single string, an array of strings, an array of token IDs, or an array of token-ID arrays. Cannot exceed the model's max input tokens (8192 for OpenAI text-embedding-3 and ada-002).
example: The food was delicious and the waiter was friendly.
model:
type: string
description: ID of the embedding model to use.
example: text-embedding-3-small
encoding_format:
type: string
enum:
- float
- base64
description: Format of the returned embeddings. `float` returns plain arrays, `base64` returns a packed base64 string.
example: float
dimensions:
type: integer
description: Number of dimensions for the output embeddings. Only supported by models that allow shortening output (e.g. `text-embedding-3-*`, `gemini-embedding-*`, `qwen3-embedding-8b`).
example: 1536
exclusiveMinimum: 0
user:
type: string
description: Accepted for OpenAI compatibility. Upstream abuse attribution always uses LLM Gateway's opaque organization identifier.
required:
- input
- model
responses:
'200':
description: Embeddings response.
headers:
RateLimit-Policy:
schema:
type: string
description: Quota policy as an HTTP Structured Fields list, e.g. "requests";q=60;w=60.
RateLimit:
schema:
type: string
description: Available quota and reset delay, e.g. "requests";r=59;t=60.
RateLimit-Limit:
schema:
type: string
description: Request limit for the current window.
RateLimit-Remaining:
schema:
type: string
description: Requests remaining in the current window.
RateLimit-Reset:
schema:
type: string
description: Seconds until the current window resets.
content:
application/json:
schema:
type: object
properties:
object:
type: string
enum:
- list
data:
type: array
items:
type: object
properties:
object:
type: string
enum:
- embedding
embedding:
anyOf:
- type: array
items:
type: number
- type: string
index:
type: integer
required:
- object
- embedding
- index
model:
type: string
usage:
type: object
properties:
prompt_tokens:
type: integer
total_tokens:
type: integer
required:
- prompt_tokens
- total_tokens
description: OpenAI-compatible embeddings response payload.
'400':
description: Invalid request body or parameters.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'401':
description: Missing or invalid API key.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'402':
description: Insufficient credits or plan limits reached.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'403':
description: Forbidden request or upstream response.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'404':
description: Unknown model or upstream not-found response.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'408':
description: Request timeout.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'410':
description: Archived or unavailable project.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'413':
description: Request too large.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'415':
description: Unsupported media type.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'429':
description: Rate limited. Response headers describe only LLMGateway-enforced limits; upstream provider headers are not forwarded. Honor Retry-After when present.
headers:
RateLimit-Policy:
schema:
type: string
description: Quota policy as an HTTP Structured Fields list, e.g. "requests";q=60;w=60.
RateLimit:
schema:
type: string
description: Available quota and reset delay, e.g. "requests";r=59;t=60.
RateLimit-Limit:
schema:
type: string
description: Request limit for the current window.
RateLimit-Remaining:
schema:
type: string
description: Requests remaining in the current window.
RateLimit-Reset:
schema:
type: string
description: Seconds until the current window resets.
Retry-After:
schema:
type: string
description: Seconds to wait before retrying.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'500':
description: Internal server error.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'502':
description: Failed to connect to the upstream provider.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'503':
description: Service unavailable upstream response.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'504':
description: Upstream provider timeout.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
'529':
description: Gateway overloaded.
headers:
Retry-After:
schema:
type: string
description: Seconds to wait before retrying.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIError'
tags:
- Embeddings
components:
schemas:
OpenAIError:
type: object
properties:
error:
type: object
properties:
message:
type: string
type:
type: string
param:
type:
- string
- 'null'
code:
type:
- string
- 'null'
required:
- message
- type
- param
- code
required:
- error
description: OpenAI-compatible error object.
securitySchemes:
bearerAuth:
type: http
scheme: bearer
description: Bearer token authentication using API keys
externalDocs:
url: https://docs.llmgateway.io
description: LLMGateway Documentation