{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://platform.openai.com/schemas/openai/embedding.json",
  "title": "OpenAI Embedding Response",
  "description": "A response object returned by the OpenAI Embeddings API. Contains a list of embedding vectors representing the input text as floating-point numbers, along with the model used and token usage statistics.",
  "type": "object",
  "required": ["object", "data", "model", "usage"],
  "properties": {
    "object": {
      "type": "string",
      "const": "list",
      "description": "The object type, which is always list."
    },
    "data": {
      "type": "array",
      "description": "The list of embedding objects, one for each input.",
      "items": {
        "$ref": "#/$defs/Embedding"
      }
    },
    "model": {
      "type": "string",
      "description": "The name of the model used to generate the embeddings (e.g., text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002)."
    },
    "usage": {
      "$ref": "#/$defs/Usage"
    }
  },
  "$defs": {
    "Embedding": {
      "type": "object",
      "description": "Represents an embedding vector returned by the Embeddings API. Each embedding corresponds to one input in the request.",
      "required": ["object", "embedding", "index"],
      "properties": {
        "object": {
          "type": "string",
          "const": "embedding",
          "description": "The object type, which is always embedding."
        },
        "embedding": {
          "oneOf": [
            {
              "type": "array",
              "description": "The embedding vector, which is a list of floats. The length of vector depends on the model (1536 for text-embedding-ada-002, up to 3072 for text-embedding-3-large) and the dimensions parameter if specified.",
              "items": {
                "type": "number",
                "format": "float"
              }
            },
            {
              "type": "string",
              "description": "The embedding vector as a base64-encoded string, returned when encoding_format is base64."
            }
          ],
          "description": "The embedding vector representing the input text. The format depends on the encoding_format request parameter."
        },
        "index": {
          "type": "integer",
          "minimum": 0,
          "description": "The index of the embedding in the list of embeddings, corresponding to the position of the input in the request."
        }
      }
    },
    "Usage": {
      "type": "object",
      "description": "Token usage statistics for the embedding request.",
      "required": ["prompt_tokens", "total_tokens"],
      "properties": {
        "prompt_tokens": {
          "type": "integer",
          "minimum": 0,
          "description": "The number of tokens in the input text."
        },
        "total_tokens": {
          "type": "integer",
          "minimum": 0,
          "description": "The total number of tokens used in the request. For embeddings, this is the same as prompt_tokens."
        }
      }
    }
  }
}