Modify Assistant

Modifies an assistant.

Options

OpenAI Beta

Calls to the Assistants API require that you pass a beta HTTP header.

Assistant Id

The ID of the assistant to modify.

Body

Result Format

Specify how the response should be mapped to the table output. The following formats are available:

Structured Table: Returns a parsed table with data split into rows and columns.

• Id: The identifier, which can be referenced in API endpoints.
• Object: The object type, which is always assistant.
• Created At: The Unix timestamp (in seconds) for when the assistant was created.
• Name: The name of the assistant. The maximum length is 256 characters.
• Description: The description of the assistant. The maximum length is 512 characters.
• Model: ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
• Instructions: The system instructions that the assistant uses. The maximum length is 256,000 characters.
• Tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types code_interpreter, file_search, or function.
• 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.
• Metadata:

  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.

• 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.
• 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.

• Response Format:

  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 ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide.

  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.

Raw Response: Returns the raw response in a single row with the following columns:

• body: Response body
• status: HTTP status code

Views

This node has no views

Workflows

• No workflows found

Links

• No links available

Developers