Class: OpenAI::Models::Beta::ThreadCreateAndRunParams

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

Overview

See Also:

Defined Under Namespace

Modules: Model Classes: Thread, ToolResources, TruncationStrategy

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(vector_store_ids: nil) ⇒ Object

Some parameter documentations has been truncated, see OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources::FileSearch for more details.

Parameters:




# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 167

Instance Attribute Details

#assistant_id ⇒ String

The ID of the [assistant](platform.openai.com/docs/api-reference/assistants) to use to execute this run.

Returns:

  • (String) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 19

required :assistant_id, String

#instructions ⇒ String?

Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis.

Returns:

  • (String, nil) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 26

optional :instructions, String, nil?: true

#max_completion_tokens ⇒ Integer?

The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status ‘incomplete`. See `incomplete_details` for more info.

Returns:

  • (Integer, nil) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 36

optional :max_completion_tokens, Integer, nil?: true

#max_prompt_tokens ⇒ Integer?

The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status ‘incomplete`. See `incomplete_details` for more info.

Returns:

  • (Integer, nil) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 46

optional :max_prompt_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.

Returns:

  • (Hash{Symbol=>String}, nil) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 57

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

#model ⇒ String, ...

The ID of the [Model](platform.openai.com/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 66

optional :model, union: -> { OpenAI::Beta::ThreadCreateAndRunParams::Model }, nil?: true

#parallel_tool_calls ⇒ Boolean?

Whether to enable [parallel function calling](platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) during tool use.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 74

optional :parallel_tool_calls, OpenAI::Internal::Type::Boolean

#response_format ⇒ Symbol, ...

Specifies the format that the model must output. Compatible with [GPT-4o](platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since ‘gpt-3.5-turbo-1106`.

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](platform.openai.com/docs/guides/structured-outputs).

Setting to ‘{ “type”: “json_object” }` enables JSON mode, which ensures the message the model generates is valid JSON.

Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly “stuck” request. Also note that the message content may be partially cut off if ‘finish_reason=“length”`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 99

optional :response_format, union: -> { OpenAI::Beta::AssistantResponseFormatOption }, 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.

Returns:

  • (Float, nil) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 107

optional :temperature, Float, nil?: true

#thread ⇒ OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread?

Options to create a new thread. If no thread is provided when running a request, an empty thread will be created.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 114

optional :thread, -> { OpenAI::Beta::ThreadCreateAndRunParams::Thread }

#tool_choice ⇒ Symbol, ...

Controls which (if any) tool is called by the model. ‘none` means the model will not call any tools and instead generates a message. `auto` is the default value and 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 before responding to the user. Specifying a particular tool like `“file_search”` or `“function”, “function”: {“name”: “my_function”}` forces the model to call that tool.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 126

optional :tool_choice, union: -> { OpenAI::Beta::AssistantToolChoiceOption }, nil?: true

#tool_resources ⇒ OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources?

A set of resources that are used by the assistant’s tools. The resources are specific to the type of tool. For example, the ‘code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 135

optional :tool_resources, -> { OpenAI::Beta::ThreadCreateAndRunParams::ToolResources }, nil?: true

#tools ⇒ Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>?

Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 142

optional :tools,
-> {
  OpenAI::Internal::Type::ArrayOf[union: OpenAI::Beta::AssistantTool]
},
nil?: true

#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.

Returns:

  • (Float, nil) 


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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 156

optional :top_p, Float, nil?: true

#truncation_strategy ⇒ OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy?

Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.

Returns:



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# File 'lib/openai/models/beta/thread_create_and_run_params.rb', line 163

optional :truncation_strategy,
-> { OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy },
nil?: true