export type CreateEmbeddingRequest = {
    /**
     * 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`) and cannot be an empty string. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
     *
     */
    input: string | Array<string> | Array<number> | Array<Array<number>>;
    /**
     * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
     *
     */
    model: string | "text-embedding-ada-002";
    /**
     * The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).
     */
    encoding_format?: "float" | "base64";
    /**
     * A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
     *
     */
    user?: string;
};