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POST
/
embeddings
Create embeddings
curl --request POST \
  --url https://api.llmrouter.app/v1/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": "<string>"
}
'
{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "embedding": [
        123
      ],
      "index": 123
    }
  ],
  "model": "openai/text-embedding-3-small",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123,
    "cost": "<unknown>"
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.llmrouter.app/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

LLM Router API Key (e.g., sk-llmr-...)

Body

application/json

Accepts any additional properties supported by the upstream embedding model.

​
model
string
required
​
input
required

Response

200 - application/json

Successful embedding response

​
object
string
required
Example:

"list"

​
data
object[]
required
​
model
string
required

The model used to generate the embeddings

Example:

"openai/text-embedding-3-small"

​
usage
object
required