Class: OpenAI::Models::Responses::ResponseCreateParams
- Inherits:
-
Internal::Type::BaseModel
- Object
- Internal::Type::BaseModel
- OpenAI::Models::Responses::ResponseCreateParams
- 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
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#background ⇒ Boolean?
Whether to run the model response in the background.
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#include ⇒ Array<Symbol, OpenAI::Models::Responses::ResponseIncludable>?
Specify additional output data to include in the model response.
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#input ⇒ String, 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.
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#instructions ⇒ String?
Inserts a system (or developer) message as the first item in the model’s context.
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#max_output_tokens ⇒ Integer?
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).
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#metadata ⇒ Hash{Symbol=>String}?
Set of 16 key-value pairs that can be attached to an object.
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#model ⇒ String, ...
Model ID used to generate the response, like ‘gpt-4o` or `o3`.
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#parallel_tool_calls ⇒ Boolean?
Whether to allow the model to run tool calls in parallel.
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#previous_response_id ⇒ String?
The unique ID of the previous response to the model.
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#reasoning ⇒ OpenAI::Models::Reasoning?
**o-series models only**.
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#service_tier ⇒ Symbol, ...
Specifies the latency tier to use for processing the request.
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#store ⇒ Boolean?
Whether to store the generated model response for later retrieval via API.
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#temperature ⇒ Float?
What sampling temperature to use, between 0 and 2.
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#text ⇒ OpenAI::Models::Responses::ResponseTextConfig?
Configuration options for a text response from the model.
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#tool_choice ⇒ Symbol, ...
How the model should select which tool (or tools) to use when generating a response.
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#tools ⇒ Array<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.
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#top_p ⇒ Float?
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass.
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#truncation ⇒ Symbol, ...
The truncation strategy to use for the model response.
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#user ⇒ String?
A stable identifier for your end-users.
Attributes included from Internal::Type::RequestParameters
Class Method Summary collapse
- .values ⇒ Array<Symbol>
- .variants ⇒ Array(Symbol, OpenAI::Models::Responses::ToolChoiceOptions, OpenAI::Models::Responses::ToolChoiceTypes, OpenAI::Models::Responses::ToolChoiceFunction)
Instance Method Summary collapse
-
#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
constructor
Some parameter documentations has been truncated, see ResponseCreateParams for more details.
Methods included from Internal::Type::RequestParameters::Converter
Methods included from Internal::Type::RequestParameters
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.
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# File 'lib/openai/models/responses/response_create_params.rb', line 229
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Instance Attribute Details
#background ⇒ Boolean?
Whether to run the model response in the background. [Learn more](platform.openai.com/docs/guides/background).
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# File 'lib/openai/models/responses/response_create_params.rb', line 42 optional :background, OpenAI::Internal::Type::Boolean, nil?: true |
#include ⇒ Array<Symbol, OpenAI::Models::Responses::ResponseIncludable>?
Specify additional output data to include in the model response. Currently supported values are:
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‘file_search_call.results`: Include the search results of the file search tool call.
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‘message.input_image.image_url`: Include image urls from the input message.
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‘computer_call_output.output.image_url`: Include image urls from the computer call output.
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‘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).
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‘code_interpreter_call.outputs`: Includes the outputs of python code execution in code interpreter tool call items.
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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 |
#input ⇒ String, 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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[Text inputs and outputs](platform.openai.com/docs/guides/text)
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[Image inputs](platform.openai.com/docs/guides/images)
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[File inputs](platform.openai.com/docs/guides/pdf-files)
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[Conversation state](platform.openai.com/docs/guides/conversation-state)
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[Function calling](platform.openai.com/docs/guides/function-calling)
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# File 'lib/openai/models/responses/response_create_params.rb', line 25 required :input, union: -> { OpenAI::Responses::ResponseCreateParams::Input } |
#instructions ⇒ String?
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.
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# File 'lib/openai/models/responses/response_create_params.rb', line 75 optional :instructions, String, nil?: true |
#max_output_tokens ⇒ Integer?
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).
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# File 'lib/openai/models/responses/response_create_params.rb', line 83 optional :max_output_tokens, Integer, nil?: true |
#metadata ⇒ Hash{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.
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# File 'lib/openai/models/responses/response_create_params.rb', line 94 optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true |
#model ⇒ String, ...
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_calls ⇒ Boolean?
Whether to allow the model to run tool calls in parallel.
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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_id ⇒ String?
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).
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# File 'lib/openai/models/responses/response_create_params.rb', line 108 optional :previous_response_id, String, nil?: true |
#reasoning ⇒ OpenAI::Models::Reasoning?
**o-series models only**
Configuration options for [reasoning models](platform.openai.com/docs/guides/reasoning).
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# File 'lib/openai/models/responses/response_create_params.rb', line 117 optional :reasoning, -> { OpenAI::Reasoning }, nil?: true |
#service_tier ⇒ Symbol, ...
Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service:
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If set to ‘auto’, and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted.
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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.
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If set to ‘default’, the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee.
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If set to ‘flex’, the request will be processed with the Flex Processing service tier. [Learn more](platform.openai.com/docs/guides/flex-processing).
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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 |
#store ⇒ Boolean?
Whether to store the generated model response for later retrieval via API.
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# File 'lib/openai/models/responses/response_create_params.rb', line 145 optional :store, OpenAI::Internal::Type::Boolean, nil?: true |
#temperature ⇒ Float?
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.
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# File 'lib/openai/models/responses/response_create_params.rb', line 154 optional :temperature, Float, nil?: true |
#text ⇒ OpenAI::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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[Text inputs and outputs](platform.openai.com/docs/guides/text)
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[Structured Outputs](platform.openai.com/docs/guides/structured-outputs)
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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_choice ⇒ Symbol, ...
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 } |
#tools ⇒ Array<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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**Built-in tools**: Tools that are provided by OpenAI that extend the model’s capabilities, like [web search](platform.openai.com/docs/guides/tools-web-search) or [file search](platform.openai.com/docs/guides/tools-file-search). Learn more about [built-in tools](platform.openai.com/docs/guides/tools).
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**Function calls (custom tools)**: Functions that are defined by you, enabling the model to call your own code. Learn more about [function calling](platform.openai.com/docs/guides/function-calling).
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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_p ⇒ Float?
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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# File 'lib/openai/models/responses/response_create_params.rb', line 207 optional :top_p, Float, nil?: true |
#truncation ⇒ Symbol, ...
The truncation strategy to use for the model response.
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‘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.
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‘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 |
#user ⇒ String?
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).
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# File 'lib/openai/models/responses/response_create_params.rb', line 227 optional :user, String |
Class Method Details
.values ⇒ Array<Symbol>
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# File 'lib/openai/models/responses/response_create_params.rb', line 321
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.variants ⇒ Array(Symbol, OpenAI::Models::Responses::ToolChoiceOptions, OpenAI::Models::Responses::ToolChoiceTypes, OpenAI::Models::Responses::ToolChoiceFunction)
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# File 'lib/openai/models/responses/response_create_params.rb', line 293
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