OptionaldescriptionThe description of the assistant. The maximum length is 512 characters.
OptionalinstructionsThe system instructions that the assistant uses. The maximum length is 256,000 characters.
OptionalmetadataSet 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.
OptionalnameThe name of the assistant. The maximum length is 256 characters.
Optionalresponse_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.
OptionaltemperatureWhat 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.
Optionaltool_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.
OptionaltoolsA 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.
Optionaltop_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.
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.