Interface ChatCompletionCreateRequestNonStream

ChatCompletionCreateRequest class. Can be used as an interface, but also instantiates the class handling stream default behavior with stream default being disabled if not explicitly set to on.

interface ChatCompletionCreateRequestNonStream {
    frequency_penalty?: number;
    max_tokens?: number;
    messages: ChatCompletionRequestMessage[];
    model: "llama-2-13b-chat" | "llama-2-70b-chat" | "codellama-7b-instruct" | "codellama-13b-instruct" | "codellama-34b-instruct" | "codellama-70b-instruct" | "mistral-7b-instruct" | "mixtral-8x7b-instruct" | "nous-hermes-2-mixtral-8x7b-dpo" | "nous-hermes-2-mistral-7b-dpo";
    presence_penalty?: number;
    response_format?: ChatCompletionRequestResponseFormat;
    stop?: string | string[];
    stream?: false;
    temperature?: number;
    top_p?: number;



frequency_penalty?: number

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.

max_tokens?: number

The maximum number of tokens to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length.

messages - An array of ChatCompletionRequestMessage comprising the conversation so far.

model: "llama-2-13b-chat" | "llama-2-70b-chat" | "codellama-7b-instruct" | "codellama-13b-instruct" | "codellama-34b-instruct" | "codellama-70b-instruct" | "mistral-7b-instruct" | "mixtral-8x7b-instruct" | "nous-hermes-2-mixtral-8x7b-dpo" | "nous-hermes-2-mistral-7b-dpo"

ID of the model to use.

presence_penalty?: number

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.

response_format?: ChatCompletionRequestResponseFormat
stop?: string | string[]

up to 4 sequences where the API will stop generating further tokens.

stream?: false

If set, partial message deltas will be sent. Tokens will be sent as data-only. Defaults to false. server-sent events as they become available, with the stream terminated by a data: [DONE] message. This output is processed through Stream and returns CreateChatCompletionStreamResponse if set to true. If set to false or not specified, returns CreateChatCompletionResponse

temperature?: number

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. We generally recommend altering this or top_p but not both.

top_p?: number

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. We generally recommend altering this or temperature but not both.

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