action openai_create_embedding {
  label: "Creates an embedding vector representing the input text."
  provider: openai
  method: POST
  path: "/embeddings"
  encoding: json
  input: {
    type: "object"
    required: ["input", "model"]
    properties: {
      input: {
        description: "Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.\n"
        type: "object"
      }
      model: {
        type: "string"
        description: "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."
      }
      user: {
        type: "string"
        description: "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).\n"
      }
    }
    additionalProperties: false
  }
  output: {
    type: "object"
    required: ["data", "model", "object", "usage"]
    properties: {
      data: {
        type: "array"
        items: {
          type: "object"
          required: ["index", "object", "embedding"]
          properties: {
            embedding: {
              type: "array"
              items: {
                type: "number"
              }
            }
            index: {
              type: "integer"
            }
            object: {
              type: "string"
            }
          }
        }
      }
      model: {
        type: "string"
      }
      object: {
        type: "string"
      }
      usage: {
        type: "object"
        required: ["prompt_tokens", "total_tokens"]
        properties: {
          prompt_tokens: {
            type: "integer"
          }
          total_tokens: {
            type: "integer"
          }
        }
      }
    }
  }
}