Request body which must comply to the following JSON Schema:
{
"required" : [ "input", "model" ],
"type" : "object",
"properties" : {
"input" : {
"description" : "Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.\n",
"example" : "The quick brown fox jumped over the lazy dog",
"oneOf" : [ {
"title" : "string",
"type" : "string",
"description" : "The string that will be turned into an embedding.",
"example" : "This is a test.",
"default" : ""
}, {
"title" : "array",
"maxItems" : 2048,
"minItems" : 1,
"type" : "array",
"description" : "The array of strings that will be turned into an embedding.",
"items" : {
"type" : "string",
"example" : "['This is a test.']",
"default" : ""
}
}, {
"title" : "array",
"maxItems" : 2048,
"minItems" : 1,
"type" : "array",
"description" : "The array of integers that will be turned into an embedding.",
"example" : "[1212, 318, 257, 1332, 13]",
"items" : {
"type" : "integer"
}
}, {
"title" : "array",
"maxItems" : 2048,
"minItems" : 1,
"type" : "array",
"description" : "The array of arrays containing integers that will be turned into an embedding.",
"example" : "[[1212, 318, 257, 1332, 13]]",
"items" : {
"minItems" : 1,
"type" : "array",
"items" : {
"type" : "integer"
}
}
} ],
"x-oaiExpandable" : true
},
"model" : {
"description" : "model_description",
"example" : "text-embedding-ada-002",
"anyOf" : [ {
"type" : "string"
}, {
"type" : "string",
"enum" : [ "text-embedding-ada-002" ]
} ],
"x-oaiTypeLabel" : "string"
},
"encoding_format" : {
"type" : "string",
"description" : "The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).",
"example" : "float",
"default" : "float",
"enum" : [ "float", "base64" ]
}
},
"additionalProperties" : false
}
