OpenAI API
Modify assistant (v1)
POSThttps://api.openai.com/v1/assistants/asst_abc123Modifies an assistant.
Request
{
"instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
"tools": [
{
"type": "retrieval"
}
],
"model": "gpt-4-turbo",
"file_ids": [
"file-abc123",
"file-abc456"
]
}Request samples
返回响应
The name of the assistant. The maximum length is 256 characters.
The description of the assistant. The maximum length is 512 characters.
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. type: string
The system instructions that the assistant uses. The maximum length is 256,000 characters.
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, retrieval, or function.
A list of File IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order. If a file was previously attached to the list but does not show up in the list, it will be deleted from the assistant.
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.
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.
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.
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_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.
{
"id": "asst_abc123",
"object": "assistant",
"created_at": 1699009709,
"name": "HR Helper",
"description": null,
"model": "gpt-4-turbo",
"instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
"tools": [
{
"type": "retrieval"
}
],
"file_ids": [
"file-abc123",
"file-abc456"
],
"metadata": {},
"top_p": 1,
"temperature": 1,
"response_format": "auto"
}