openai-client-base 0.12.0

Auto-generated Rust client for the OpenAI API
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# AssistantObject

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**id** | **String** | The identifier, which can be referenced in API endpoints. | 
**object** | **String** | The object type, which is always `assistant`. | 
**created_at** | **i32** | The Unix timestamp (in seconds) for when the assistant was created. | 
**name** | Option<**String**> | The name of the assistant. The maximum length is 256 characters.  | 
**description** | Option<**String**> | The description of the assistant. The maximum length is 512 characters.  | 
**model** | **String** | ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models) for descriptions of them.  | 
**instructions** | Option<**String**> | The system instructions that the assistant uses. The maximum length is 256,000 characters.  | 
**tools** | [**Vec<models::AssistantObjectToolsInner>**](AssistantObject_tools_inner.md) | 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** | Option<[**models::Object0**](Object0.md)> |  | [optional]
**metadata** | Option<**std::collections::HashMap<String, String>**> | 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** | Option<**f64**> | 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.  | [optional]
**top_p** | Option<**f64**> | 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.  | [optional]
**response_format** | Option<[**models::AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md)> |  | [optional]

[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)