Interface ThreadCreateAndRunParamsStreaming

interface ThreadCreateAndRunParamsStreaming {
    assistant_id: string;
    instructions?: null | string;
    max_completion_tokens?: null | number;
    max_prompt_tokens?: null | number;
    metadata?: unknown;
    model?: null | string & {} | ChatModel;
    parallel_tool_calls?: boolean;
    response_format?: null | AssistantResponseFormatOption;
    stream: true;
    temperature?: null | number;
    thread?: OpenAIClient.Beta.Threads.ThreadCreateAndRunParams.Thread;
    tool_choice?: null | AssistantToolChoiceOption;
    tool_resources?: null | OpenAIClient.Beta.Threads.ThreadCreateAndRunParams.ToolResources;
    tools?: null | (CodeInterpreterTool | FileSearchTool | FunctionTool)[];
    top_p?: null | number;
    truncation_strategy?: null | OpenAIClient.Beta.Threads.ThreadCreateAndRunParams.TruncationStrategy;
}

Hierarchy

  • ThreadCreateAndRunParamsBase
    • ThreadCreateAndRunParamsStreaming

Properties

assistant_id instructions? max_completion_tokens? max_prompt_tokens? metadata? model? parallel_tool_calls? response_format? stream temperature? thread? tool_choice? tool_resources? tools? top_p? truncation_strategy?

Properties

assistant_id

assistant_id: string

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

Optionalinstructions

instructions?: null | string

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

Optionalmax_completion_tokens

max_completion_tokens?: null | number

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.

Optionalmax_prompt_tokens

max_prompt_tokens?: null | number

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.

Optionalmetadata

metadata?: unknown

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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

Optionalmodel

model?: null | string & {} | ChatModel

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.

Optionalparallel_tool_calls

parallel_tool_calls?: boolean

Whether to enable parallel function calling during tool use.

Optionalresponse_format

response_format?: null | AssistantResponseFormatOption

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106.

Setting to { "type": "json_schema", "json_schema": {...} } enables Structured Outputs which guarantees the model will match your supplied JSON schema. Learn more in the Structured Outputs guide.

Setting to { "type": "json_object" } enables JSON mode, which guarantees 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.

stream

stream: true

If true, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a data: [DONE] message.

Optionaltemperature

temperature?: null | number

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.

Optionalthread

thread?: OpenAIClient.Beta.Threads.ThreadCreateAndRunParams.Thread

If no thread is provided, an empty thread will be created.

Optionaltool_choice

tool_choice?: null | AssistantToolChoiceOption

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 {"type": "file_search"} or {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.

Optionaltool_resources

tool_resources?: null | OpenAIClient.Beta.Threads.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.

Optionaltools

tools?: null | (CodeInterpreterTool | FileSearchTool | FunctionTool)[]

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

Optionaltop_p

top_p?: null | number

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.

Optionaltruncation_strategy

truncation_strategy?: null | OpenAIClient.Beta.Threads.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.

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