Constructor Detail

Method Detail

• messages

   final List<ChatCompletionMessageParam> messages()

  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.

• model

   final ChatModel model()

  Model ID used to generate the response, like gpt-4o or o3. 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.

• audio

   final Optional<ChatCompletionAudioParam> audio()

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

• frequencyPenalty

   final Optional<Double> frequencyPenalty()

  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.

• functionCall

  @Deprecated(message = "deprecated") final Optional<ChatCompletionCreateParams.FunctionCall> functionCall()

  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.

• functions

  @Deprecated(message = "deprecated") final Optional<List<ChatCompletionCreateParams.Function>> functions()

  Deprecated in favor of tools.

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

• logitBias

   final Optional<ChatCompletionCreateParams.LogitBias> logitBias()

  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.

• logprobs

   final Optional<Boolean> logprobs()

  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.

• maxCompletionTokens

   final Optional<Long> maxCompletionTokens()

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

• maxTokens

  @Deprecated(message = "deprecated") final Optional<Long> maxTokens()

  The maximum number of /tokenizer 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 o-series models.

• metadata

   final Optional<ChatCompletionCreateParams.Metadata> 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.

• modalities

   final Optional<List<ChatCompletionCreateParams.Modality>> modalities()

  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"]

• n

   final Optional<Long> n()

  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.

• parallelToolCalls

   final Optional<Boolean> parallelToolCalls()

  Whether to enable parallel function calling during tool use.

• prediction

   final Optional<ChatCompletionPredictionContent> prediction()

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

• presencePenalty

   final Optional<Double> presencePenalty()

  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.

• reasoningEffort

   final Optional<ReasoningEffort> 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.

• responseFormat

   final Optional<ChatCompletionCreateParams.ResponseFormat> responseFormat()

  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.

• seed

   final Optional<Long> seed()

  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.

• serviceTier

   final Optional<ChatCompletionCreateParams.ServiceTier> serviceTier()

  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.

  • If set to 'flex', the request will be processed with the Flex Processing service tier. Learn more.

  • When not set, the default behavior is 'auto'.

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

• stop

   final Optional<ChatCompletionCreateParams.Stop> stop()

  Not supported with latest reasoning models o3 and o4-mini.

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

• store

   final Optional<Boolean> store()

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

• streamOptions

   final Optional<ChatCompletionStreamOptions> streamOptions()

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

• temperature

   final Optional<Double> temperature()

  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.

• toolChoice

   final Optional<ChatCompletionToolChoiceOption> toolChoice()

  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.

• tools

   final Optional<List<ChatCompletionTool>> tools()

  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.

• topLogprobs

   final Optional<Long> topLogprobs()

  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.

• topP

   final Optional<Double> topP()

  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.

• user

   final Optional<String> user()

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

• webSearchOptions

   final Optional<ChatCompletionCreateParams.WebSearchOptions> webSearchOptions()

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

• _messages

   final JsonField<List<ChatCompletionMessageParam>> _messages()

  Returns the raw JSON value of messages.

  Unlike messages, this method doesn't throw if the JSON field has an unexpected type.

• _model

   final JsonField<ChatModel> _model()

  Returns the raw JSON value of model.

  Unlike model, this method doesn't throw if the JSON field has an unexpected type.

• _audio

   final JsonField<ChatCompletionAudioParam> _audio()

  Returns the raw JSON value of audio.

  Unlike audio, this method doesn't throw if the JSON field has an unexpected type.

• _frequencyPenalty

   final JsonField<Double> _frequencyPenalty()

  Returns the raw JSON value of frequencyPenalty.

  Unlike frequencyPenalty, this method doesn't throw if the JSON field has an unexpected type.

• _functionCall

  @Deprecated(message = "deprecated") final JsonField<ChatCompletionCreateParams.FunctionCall> _functionCall()

  Returns the raw JSON value of functionCall.

  Unlike functionCall, this method doesn't throw if the JSON field has an unexpected type.

• _functions

  @Deprecated(message = "deprecated") final JsonField<List<ChatCompletionCreateParams.Function>> _functions()

  Returns the raw JSON value of functions.

  Unlike functions, this method doesn't throw if the JSON field has an unexpected type.

• _logitBias

   final JsonField<ChatCompletionCreateParams.LogitBias> _logitBias()

  Returns the raw JSON value of logitBias.

  Unlike logitBias, this method doesn't throw if the JSON field has an unexpected type.

• _logprobs

   final JsonField<Boolean> _logprobs()

  Returns the raw JSON value of logprobs.

  Unlike logprobs, this method doesn't throw if the JSON field has an unexpected type.

• _maxCompletionTokens

   final JsonField<Long> _maxCompletionTokens()

  Returns the raw JSON value of maxCompletionTokens.

  Unlike maxCompletionTokens, this method doesn't throw if the JSON field has an unexpected type.

• _maxTokens

  @Deprecated(message = "deprecated") final JsonField<Long> _maxTokens()

  Returns the raw JSON value of maxTokens.

  Unlike maxTokens, this method doesn't throw if the JSON field has an unexpected type.

• _metadata

   final JsonField<ChatCompletionCreateParams.Metadata> _metadata()

  Returns the raw JSON value of metadata.

  Unlike metadata, this method doesn't throw if the JSON field has an unexpected type.

• _modalities

   final JsonField<List<ChatCompletionCreateParams.Modality>> _modalities()

  Returns the raw JSON value of modalities.

  Unlike modalities, this method doesn't throw if the JSON field has an unexpected type.

• _n

   final JsonField<Long> _n()

  Returns the raw JSON value of n.

  Unlike n, this method doesn't throw if the JSON field has an unexpected type.

• _parallelToolCalls

   final JsonField<Boolean> _parallelToolCalls()

  Returns the raw JSON value of parallelToolCalls.

  Unlike parallelToolCalls, this method doesn't throw if the JSON field has an unexpected type.

• _prediction

   final JsonField<ChatCompletionPredictionContent> _prediction()

  Returns the raw JSON value of prediction.

  Unlike prediction, this method doesn't throw if the JSON field has an unexpected type.

• _presencePenalty

   final JsonField<Double> _presencePenalty()

  Returns the raw JSON value of presencePenalty.

  Unlike presencePenalty, this method doesn't throw if the JSON field has an unexpected type.

• _reasoningEffort

   final JsonField<ReasoningEffort> _reasoningEffort()

  Returns the raw JSON value of reasoningEffort.

  Unlike reasoningEffort, this method doesn't throw if the JSON field has an unexpected type.

• _responseFormat

   final JsonField<ChatCompletionCreateParams.ResponseFormat> _responseFormat()

  Returns the raw JSON value of responseFormat.

  Unlike responseFormat, this method doesn't throw if the JSON field has an unexpected type.

• _seed

   final JsonField<Long> _seed()

  Returns the raw JSON value of seed.

  Unlike seed, this method doesn't throw if the JSON field has an unexpected type.

• _serviceTier

   final JsonField<ChatCompletionCreateParams.ServiceTier> _serviceTier()

  Returns the raw JSON value of serviceTier.

  Unlike serviceTier, this method doesn't throw if the JSON field has an unexpected type.

• _stop

   final JsonField<ChatCompletionCreateParams.Stop> _stop()

  Returns the raw JSON value of stop.

  Unlike stop, this method doesn't throw if the JSON field has an unexpected type.

• _store

   final JsonField<Boolean> _store()

  Returns the raw JSON value of store.

  Unlike store, this method doesn't throw if the JSON field has an unexpected type.

• _streamOptions

   final JsonField<ChatCompletionStreamOptions> _streamOptions()

  Returns the raw JSON value of streamOptions.

  Unlike streamOptions, this method doesn't throw if the JSON field has an unexpected type.

• _temperature

   final JsonField<Double> _temperature()

  Returns the raw JSON value of temperature.

  Unlike temperature, this method doesn't throw if the JSON field has an unexpected type.

• _toolChoice

   final JsonField<ChatCompletionToolChoiceOption> _toolChoice()

  Returns the raw JSON value of toolChoice.

  Unlike toolChoice, this method doesn't throw if the JSON field has an unexpected type.

• _tools

   final JsonField<List<ChatCompletionTool>> _tools()

  Returns the raw JSON value of tools.

  Unlike tools, this method doesn't throw if the JSON field has an unexpected type.

• _topLogprobs

   final JsonField<Long> _topLogprobs()

  Returns the raw JSON value of topLogprobs.

  Unlike topLogprobs, this method doesn't throw if the JSON field has an unexpected type.

• _topP

   final JsonField<Double> _topP()

  Returns the raw JSON value of topP.

  Unlike topP, this method doesn't throw if the JSON field has an unexpected type.

• _user

   final JsonField<String> _user()

  Returns the raw JSON value of user.

  Unlike user, this method doesn't throw if the JSON field has an unexpected type.

• _webSearchOptions

   final JsonField<ChatCompletionCreateParams.WebSearchOptions> _webSearchOptions()

  Returns the raw JSON value of webSearchOptions.

  Unlike webSearchOptions, this method doesn't throw if the JSON field has an unexpected type.

• _additionalProperties

   final Map<String, JsonValue> _additionalProperties()

• toBuilder

   final ChatCompletionCreateParams.Body.Builder toBuilder()

• validate

   final ChatCompletionCreateParams.Body validate()

• isValid

   final Boolean isValid()

• equals

   Boolean equals(Object other)

• hashCode

   Integer hashCode()

• toString

   String toString()

• builder

   final static ChatCompletionCreateParams.Body.Builder builder()

  Returns a mutable builder for constructing an instance of Body.

  The following fields are required:

  .messages()
  .model()