Interface ChatCompletionCreateParamsNonStreaming

interface ChatCompletionCreateParamsNonStreaming {
    audio?: null | ChatCompletionAudioParam;
    frequency_penalty?: null | number;
    function_call?: "none" | "auto" | ChatCompletionFunctionCallOption;
    functions?: OpenAIClient.Chat.Completions.ChatCompletionCreateParams.Function[];
    logit_bias?: null | Record<string, number>;
    logprobs?: null | boolean;
    max_completion_tokens?: null | number;
    max_tokens?: null | number;
    messages: ChatCompletionMessageParam[];
    metadata?: null | Metadata;
    modalities?: null | ("text" | "audio")[];
    model: string & {} | ChatModel;
    n?: null | number;
    parallel_tool_calls?: boolean;
    prediction?: null | ChatCompletionPredictionContent;
    presence_penalty?: null | number;
    reasoning_effort?: ReasoningEffort;
    response_format?: ResponseFormatJSONSchema | ResponseFormatText | ResponseFormatJSONObject;
    seed?: null | number;
    service_tier?: null | "auto" | "default";
    stop?: null | string | string[];
    store?: null | boolean;
    stream?: null | false;
    stream_options?: null | ChatCompletionStreamOptions;
    temperature?: null | number;
    tool_choice?: ChatCompletionToolChoiceOption;
    tools?: ChatCompletionTool[];
    top_logprobs?: null | number;
    top_p?: null | number;
    user?: string;
    web_search_options?: WebSearchOptions;
}

Hierarchy

  • ChatCompletionCreateParamsBase
    • ChatCompletionCreateParamsNonStreaming

Properties

audio? frequency_penalty? function_call? functions? logit_bias? logprobs? max_completion_tokens? max_tokens? messages metadata? modalities? model n? parallel_tool_calls? prediction? presence_penalty? reasoning_effort? response_format? seed? service_tier? stop? store? stream? stream_options? temperature? tool_choice? tools? top_logprobs? top_p? user? web_search_options?

Properties

Optionalaudio

audio?: null | ChatCompletionAudioParam

Parameters for audio output. Required when audio output is requested with modalities: ["audio"]. Learn more.

Optionalfrequency_penalty

frequency_penalty?: null | 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.

Optionalfunction_call

function_call?: "none" | "auto" | ChatCompletionFunctionCallOption

Deprecated in favor of tool_choice.

Controls which (if any) function is called by the model.

none means the model will not call a function and instead generates a message.

auto means the model can pick between generating a message or calling a function.

Specifying a particular function via {"name": "my_function"} forces the model to call that function.

none is the default when no functions are present. auto is the default if functions are present.

Optionalfunctions

functions?: OpenAIClient.Chat.Completions.ChatCompletionCreateParams.Function[]

Deprecated in favor of tools.

A list of functions the model may generate JSON inputs for.

Optionallogit_bias

logit_bias?: null | Record<string, number>

Modify the likelihood of specified tokens appearing in the completion.

Accepts 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.

Optionallogprobs

logprobs?: null | boolean

Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.

Optionalmax_completion_tokens

max_completion_tokens?: null | number

An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens.

Optionalmax_tokens

max_tokens?: null | number

The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API.

This value is now deprecated in favor of max_completion_tokens, and is not compatible with o1 series models.

messages

messages: ChatCompletionMessageParam[]

A list of messages comprising the conversation so far. Depending on the model you use, different message types (modalities) are supported, like text, images, and audio.

Optionalmetadata

metadata?: null | Metadata

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

Optionalmodalities

modalities?: null | ("text" | "audio")[]

Output types that you would like the model to generate. Most models are capable of generating text, which is the default:

["text"]

The gpt-4o-audio-preview model can also be used to generate audio. To request that this model generate both text and audio responses, you can use:

["text", "audio"]

model

model: string & {} | ChatModel

Model ID used to generate the response, like gpt-4o or o1. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the model guide to browse and compare available models.

Optionaln

n?: null | number

How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep n as 1 to minimize costs.

Optionalparallel_tool_calls

parallel_tool_calls?: boolean

Whether to enable parallel function calling during tool use.

Optionalprediction

prediction?: null | ChatCompletionPredictionContent

Static predicted output content, such as the content of a text file that is being regenerated.

Optionalpresence_penalty

presence_penalty?: null | 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.

Optionalreasoning_effort

reasoning_effort?: ReasoningEffort

o-series models only

Constrains effort on reasoning for reasoning models. Currently supported values are low, medium, and high. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.

Optionalresponse_format

response_format?: ResponseFormatJSONSchema | ResponseFormatText | ResponseFormatJSONObject

An object specifying the format that the model must output.

Setting to { "type": "json_schema", "json_schema": {...} } enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide.

Setting to { "type": "json_object" } enables the older JSON mode, which ensures the message the model generates is valid JSON. Using json_schema is preferred for models that support it.

Optionalseed

seed?: null | number

This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.

Optionalservice_tier

service_tier?: null | "auto" | "default"

Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service:

  • If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted.
  • If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.
  • If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.
  • When not set, the default behavior is 'auto'.

When this parameter is set, the response body will include the service_tier utilized.

Optionalstop

stop?: null | string | string[]

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Optionalstore

store?: null | boolean

Whether or not to store the output of this chat completion request for use in our model distillation or evals products.

Optionalstream

stream?: null | false

If set to true, the model response data will be streamed to the client as it is generated using server-sent events. See the Streaming section below for more information, along with the streaming responses guide for more information on how to handle the streaming events.

Optionalstream_options

stream_options?: null | ChatCompletionStreamOptions

Options for streaming response. Only set this when you set stream: true.

Optionaltemperature

temperature?: null | 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.

Optionaltool_choice

tool_choice?: ChatCompletionToolChoiceOption

Controls which (if any) tool is called by the model. none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.

none is the default when no tools are present. auto is the default if tools are present.

Optionaltools

tools?: ChatCompletionTool[]

A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.

Optionaltop_logprobs

top_logprobs?: null | number

An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.

Optionaltop_p

top_p?: null | 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.

Optionaluser

user?: string

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

Optionalweb_search_options

web_search_options?: WebSearchOptions

This tool searches the web for relevant results to use in a response. Learn more about the web search tool.

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