Creates a completion for the chat message

{
  "type": "object",
  "required": [
    "messages",
    "model"
  ],
  "properties": {
    "frequency_penalty": {
      "type": "number",
      "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.\n\n[See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)\n"
    },
    "logit_bias": {
      "type": "object",
      "description": "Modify the likelihood of specified tokens appearing in the completion.\n\nAccepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.\n"
    },
    "max_tokens": {
      "type": "integer",
      "description": "The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens).\n"
    },
    "messages": {
      "type": "array",
      "description": "The messages to generate chat completions for, in the [chat format](/docs/guides/chat/introduction).",
      "items": {
        "type": "object",
        "required": [
          "role",
          "content"
        ],
        "properties": {
          "content": {
            "type": "string",
            "description": "The contents of the message"
          },
          "name": {
            "type": "string",
            "description": "The name of the user in a multi-user chat"
          },
          "role": {
            "type": "string",
            "description": "The role of the author of this message.",
            "enum": [
              "system",
              "user",
              "assistant"
            ]
          }
        }
      }
    },
    "model": {
      "type": "string",
      "description": "ID of the model to use. Currently, only `gpt-3.5-turbo` and `gpt-3.5-turbo-0301` are supported."
    },
    "n": {
      "type": "integer",
      "description": "How many chat completion choices to generate for each input message."
    },
    "presence_penalty": {
      "type": "number",
      "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.\n\n[See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)\n"
    },
    "stop": {
      "description": "Up to 4 sequences where the API will stop generating further tokens.\n",
      "type": "object"
    },
    "stream": {
      "type": "boolean",
      "description": "If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message.\n"
    },
    "temperature": {
      "type": "number",
      "description": "What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.\n\nWe generally recommend altering this or `top_p` but not both.\n"
    },
    "top_p": {
      "type": "number",
      "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or `temperature` but not both.\n"
    },
    "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"
    }
  }
}