Telnyx · Schema

OpenAIEmbeddingResponse

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Properties

Name Type Description
data array List of embedding objects
model string The model used for embedding
object string The object type, always 'list'
usage object
View JSON Schema on GitHub

JSON Schema

telnyx-open-aiembedding-response-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/telnyx/main/json-schema/telnyx-open-aiembedding-response-schema.json",
  "title": "OpenAIEmbeddingResponse",
  "x-generated": "2026-10-08",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/telnyx-openai-embeddings-api-openapi.yml#/components/schemas/OpenAIEmbeddingResponse",
  "properties": {
    "data": {
      "description": "List of embedding objects",
      "items": {
        "$ref": "#/$defs/OpenAIEmbeddingData"
      },
      "type": "array"
    },
    "model": {
      "description": "The model used for embedding",
      "type": "string"
    },
    "object": {
      "default": "list",
      "description": "The object type, always 'list'",
      "type": "string"
    },
    "usage": {
      "$ref": "#/$defs/OpenAIEmbeddingUsage"
    }
  },
  "required": [
    "object",
    "data",
    "model",
    "usage"
  ],
  "type": "object",
  "$defs": {
    "OpenAIEmbeddingData": {
      "properties": {
        "embedding": {
          "description": "The embedding vector",
          "items": {
            "type": "number"
          },
          "type": "array"
        },
        "index": {
          "description": "The index of the embedding in the list of embeddings",
          "type": "integer"
        },
        "object": {
          "default": "embedding",
          "description": "The object type, always 'embedding'",
          "type": "string"
        }
      },
      "required": [
        "object",
        "embedding",
        "index"
      ],
      "title": "OpenAIEmbeddingData",
      "type": "object"
    },
    "OpenAIEmbeddingUsage": {
      "properties": {
        "prompt_tokens": {
          "description": "Number of tokens in the input",
          "type": "integer"
        },
        "total_tokens": {
          "description": "Total number of tokens used",
          "type": "integer"
        }
      },
      "required": [
        "prompt_tokens",
        "total_tokens"
      ],
      "title": "OpenAIEmbeddingUsage",
      "type": "object"
    }
  }
}

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