Class: OpenAI::Models::Responses::ResponseCreateParams

Inherits:
Internal::Type::BaseModel show all
Extended by:
Internal::Type::RequestParameters::Converter
Includes:
Internal::Type::RequestParameters
Defined in:
lib/openai/models/responses/response_create_params.rb

Overview

Defined Under Namespace

Modules: Input, ServiceTier, ToolChoice, Truncation

Instance Attribute Summary collapse

Attributes included from Internal::Type::RequestParameters

#request_options

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Internal::Type::RequestParameters::Converter

dump_request

Methods included from Internal::Type::RequestParameters

included

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize(input: , model: , background: nil, include: nil, instructions: nil, max_output_tokens: nil, metadata: nil, parallel_tool_calls: nil, previous_response_id: nil, reasoning: nil, service_tier: nil, store: nil, temperature: nil, text: nil, tool_choice: nil, tools: nil, top_p: nil, truncation: nil, user: nil, request_options: {}) ⇒ Object

Some parameter documentations has been truncated, see OpenAI::Models::Responses::ResponseCreateParams for more details.

Parameters:



# File 'lib/openai/models/responses/response_create_params.rb', line 229

Instance Attribute Details

#backgroundBoolean?

Whether to run the model response in the background. [Learn more](platform.openai.com/docs/guides/background).

Returns:



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# File 'lib/openai/models/responses/response_create_params.rb', line 42

optional :background, OpenAI::Internal::Type::Boolean, nil?: true

#includeArray<Symbol, OpenAI::Models::Responses::ResponseIncludable>?

Specify additional output data to include in the model response. Currently supported values are:

  • ‘file_search_call.results`: Include the search results of the file search tool call.

  • ‘message.input_image.image_url`: Include image urls from the input message.

  • ‘computer_call_output.output.image_url`: Include image urls from the computer call output.

  • ‘reasoning.encrypted_content`: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the `store` parameter is set to `false`, or when an organization is enrolled in the zero data retention program).

  • ‘code_interpreter_call.outputs`: Includes the outputs of python code execution in code interpreter tool call items.

Returns:



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# File 'lib/openai/models/responses/response_create_params.rb', line 62

optional :include,
-> { OpenAI::Internal::Type::ArrayOf[enum: OpenAI::Responses::ResponseIncludable] },
nil?: true

#inputString, Array<OpenAI::Models::Responses::EasyInputMessage, OpenAI::Models::Responses::ResponseInputItem::Message, OpenAI::Models::Responses::ResponseOutputMessage, OpenAI::Models::Responses::ResponseFileSearchToolCall, OpenAI::Models::Responses::ResponseComputerToolCall, OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput, OpenAI::Models::Responses::ResponseFunctionWebSearch, OpenAI::Models::Responses::ResponseFunctionToolCall, OpenAI::Models::Responses::ResponseInputItem::FunctionCallOutput, OpenAI::Models::Responses::ResponseReasoningItem, OpenAI::Models::Responses::ResponseInputItem::ImageGenerationCall, OpenAI::Models::Responses::ResponseCodeInterpreterToolCall, OpenAI::Models::Responses::ResponseInputItem::LocalShellCall, OpenAI::Models::Responses::ResponseInputItem::LocalShellCallOutput, OpenAI::Models::Responses::ResponseInputItem::McpListTools, OpenAI::Models::Responses::ResponseInputItem::McpApprovalRequest, OpenAI::Models::Responses::ResponseInputItem::McpApprovalResponse, OpenAI::Models::Responses::ResponseInputItem::McpCall, OpenAI::Models::Responses::ResponseInputItem::ItemReference>

Text, image, or file inputs to the model, used to generate a response.

Learn more:



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# File 'lib/openai/models/responses/response_create_params.rb', line 25

required :input, union: -> { OpenAI::Responses::ResponseCreateParams::Input }

#instructionsString?

Inserts a system (or developer) message as the first item in the model’s context.

When using along with ‘previous_response_id`, the instructions from a previous response will not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.

Returns:

  • (String, nil)


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# File 'lib/openai/models/responses/response_create_params.rb', line 75

optional :instructions, String, nil?: true

#max_output_tokensInteger?

An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](platform.openai.com/docs/guides/reasoning).

Returns:

  • (Integer, nil)


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# File 'lib/openai/models/responses/response_create_params.rb', line 83

optional :max_output_tokens, Integer, nil?: true

#metadataHash{Symbol=>String}?

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.

Returns:

  • (Hash{Symbol=>String}, nil)


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# File 'lib/openai/models/responses/response_create_params.rb', line 94

optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true

#modelString, ...

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](platform.openai.com/docs/models) to browse and compare available models.



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# File 'lib/openai/models/responses/response_create_params.rb', line 35

required :model, union: -> { OpenAI::ResponsesModel }

#parallel_tool_callsBoolean?

Whether to allow the model to run tool calls in parallel.

Returns:



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# File 'lib/openai/models/responses/response_create_params.rb', line 100

optional :parallel_tool_calls, OpenAI::Internal::Type::Boolean, nil?: true

#previous_response_idString?

The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about [conversation state](platform.openai.com/docs/guides/conversation-state).

Returns:

  • (String, nil)


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# File 'lib/openai/models/responses/response_create_params.rb', line 108

optional :previous_response_id, String, nil?: true

#reasoningOpenAI::Models::Reasoning?

**o-series models only**

Configuration options for [reasoning models](platform.openai.com/docs/guides/reasoning).

Returns:



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# File 'lib/openai/models/responses/response_create_params.rb', line 117

optional :reasoning, -> { OpenAI::Reasoning }, nil?: true

#service_tierSymbol, ...

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 guarantee.

  • If set to ‘default’, the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee.

  • If set to ‘flex’, the request will be processed with the Flex Processing service tier. [Learn more](platform.openai.com/docs/guides/flex-processing).

  • When not set, the default behavior is ‘auto’.

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



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# File 'lib/openai/models/responses/response_create_params.rb', line 139

optional :service_tier, enum: -> { OpenAI::Responses::ResponseCreateParams::ServiceTier }, nil?: true

#storeBoolean?

Whether to store the generated model response for later retrieval via API.

Returns:



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# File 'lib/openai/models/responses/response_create_params.rb', line 145

optional :store, OpenAI::Internal::Type::Boolean, nil?: true

#temperatureFloat?

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.

Returns:

  • (Float, nil)


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# File 'lib/openai/models/responses/response_create_params.rb', line 154

optional :temperature, Float, nil?: true

#textOpenAI::Models::Responses::ResponseTextConfig?

Configuration options for a text response from the model. Can be plain text or structured JSON data. Learn more:



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# File 'lib/openai/models/responses/response_create_params.rb', line 164

optional :text,
union: -> {
  OpenAI::UnionOf[
    OpenAI::Responses::ResponseTextConfig,
    OpenAI::StructuredOutput::JsonSchemaConverter
  ]
}

#tool_choiceSymbol, ...

How the model should select which tool (or tools) to use when generating a response. See the ‘tools` parameter to see how to specify which tools the model can call.



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# File 'lib/openai/models/responses/response_create_params.rb', line 178

optional :tool_choice, union: -> { OpenAI::Responses::ResponseCreateParams::ToolChoice }

#toolsArray<OpenAI::Models::Responses::FunctionTool, OpenAI::StructuredOutput::JsonSchemaConverter, OpenAI::Models::Responses::FileSearchTool, OpenAI::Models::Responses::ComputerTool, OpenAI::Models::Responses::Tool::Mcp, OpenAI::Models::Responses::Tool::CodeInterpreter, OpenAI::Models::Responses::Tool::ImageGeneration, OpenAI::Models::Responses::Tool::LocalShell, OpenAI::Models::Responses::WebSearchTool>?

An array of tools the model may call while generating a response. You can specify which tool to use by setting the ‘tool_choice` parameter.

The two categories of tools you can provide the model are:



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# File 'lib/openai/models/responses/response_create_params.rb', line 197

optional :tools, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Responses::Tool] }

#top_pFloat?

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.

Returns:

  • (Float, nil)


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# File 'lib/openai/models/responses/response_create_params.rb', line 207

optional :top_p, Float, nil?: true

#truncationSymbol, ...

The truncation strategy to use for the model response.

  • ‘auto`: If the context of this response and previous ones exceeds the model’s context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation.

  • ‘disabled` (default): If a model response will exceed the context window size for a model, the request will fail with a 400 error.



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# File 'lib/openai/models/responses/response_create_params.rb', line 219

optional :truncation, enum: -> { OpenAI::Responses::ResponseCreateParams::Truncation }, nil?: true

#userString?

A stable identifier for your end-users. Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

Returns:

  • (String, nil)


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optional :user, String

Class Method Details

.valuesArray<Symbol>

Returns:

  • (Array<Symbol>)


# File 'lib/openai/models/responses/response_create_params.rb', line 321