class

OpenAI::CreateThreadAndRunRequestWithoutStream

Inherits JSON::Serializable < Reference < Object

Constructors

new(pull : JSON::PullParser)

new(assistant_id : String = "", thread : CreateThreadRequest | Nil = nil, model : CreateThreadAndRunRequestWithoutStreamModel | Nil = nil, instructions : String | Nil = nil, tools : Array(AssistantTool) | Nil = nil, tool_resources : CreateThreadAndRunRequestWithoutStreamToolResources | Nil = nil, metadata : Metadata | Nil = nil, temperature : Float64 | Nil = nil, top_p : Float64 | Nil = nil, max_prompt_tokens : Int64 | Nil = nil, max_completion_tokens : Int64 | Nil = nil, truncation_strategy : CreateThreadAndRunRequestWithoutStreamTruncationStrategy | Nil = nil, tool_choice : CreateThreadAndRunRequestWithoutStreamToolChoice | Nil = nil, parallel_tool_calls : ParallelToolCalls | Nil = nil, response_format : AssistantsApiResponseFormatOption | Nil = nil)

new(*, __pull_for_json_serializable pull : JSON::PullParser)

Instance methods

assistant_id

The ID of the assistant to use to execute this run.

assistant_id=(assistant_id : String)

The ID of the assistant to use to execute this run.

instructions

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

instructions=(instructions : String | Nil)

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

max_completion_tokens

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.

max_completion_tokens=(max_completion_tokens : Int64 | Nil)

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.

max_prompt_tokens

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.

max_prompt_tokens=(max_prompt_tokens : Int64 | Nil)

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.

metadata

metadata=(metadata : Metadata | Nil)

model

The ID of the Model 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.

model=(model : CreateThreadAndRunRequestWithoutStreamModel | Nil)

The ID of the Model 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.

parallel_tool_calls

parallel_tool_calls=(parallel_tool_calls : ParallelToolCalls | Nil)

response_format

response_format=(response_format : AssistantsApiResponseFormatOption | Nil)

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.

temperature=(temperature : Float64 | Nil)

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.

thread

thread=(thread : CreateThreadRequest | Nil)

tool_choice

tool_choice=(tool_choice : CreateThreadAndRunRequestWithoutStreamToolChoice | Nil)

tool_resources

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.

tool_resources=(tool_resources : CreateThreadAndRunRequestWithoutStreamToolResources | Nil)

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.

tools

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

tools=(tools : Array(AssistantTool) | Nil)

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

top_p

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.

top_p=(top_p : Float64 | Nil)

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.

truncation_strategy

truncation_strategy=(truncation_strategy : CreateThreadAndRunRequestWithoutStreamTruncationStrategy | Nil)