Struct AssistantObject 

pub struct AssistantObject {

    pub created_at: i32,
    pub description: String,
    pub id: String,
    pub instructions: String,
    pub metadata: Metadata,
    pub model: String,
    pub name: String,
    pub object: String,
    pub response_format: Option<AssistantsApiResponseFormatOption>,
    pub temperature: Option<f32>,
    pub tool_resources: Option<AssistantObjectToolResources>,
    pub tools: Vec<AssistantObjectTool>,
    pub top_p: Option<f32>,
}

on openapi.yaml

AssistantObject:
  type: object
  title: Assistant
  description: Represents an `assistant` that can call the model and use tools.
  properties:
    id:
      description: The identifier, which can be referenced in API endpoints.
      type: string
    object:
      description: The object type, which is always `assistant`.
      type: string
      enum:
        - assistant
      x-stainless-const: true
    created_at:
      description: The Unix timestamp (in seconds) for when the assistant was created.
      type: integer
    name:
      description: |
        The name of the assistant. The maximum length is 256 characters.
      type: string
      maxLength: 256
      nullable: true
    description:
      description: >
        The description of the assistant. The maximum length is 512
        characters.
      type: string
      maxLength: 512
      nullable: true
    model:
      description: >
        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.
      type: string
    instructions:
      description: >
        The system instructions that the assistant uses. The maximum length
        is 256,000 characters.
      type: string
      maxLength: 256000
      nullable: true
    tools:
      description: >
        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`.
      default: []
      type: array
      maxItems: 128
      items:
        oneOf:
          - $ref: "#/components/schemas/AssistantToolsCode"
          - $ref: "#/components/schemas/AssistantToolsFileSearch"
          - $ref: "#/components/schemas/AssistantToolsFunction"
    tool_resources:
      type: object
      description: >
        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.
      properties:
        code_interpreter:
          type: object
          properties:
            file_ids:
              type: array
              description: >
                A list of [file](/docs/api-reference/files) IDs made
                available to the `code_interpreter`` tool. There can be a
                maximum of 20 files associated with the tool.
              default: []
              maxItems: 20
              items:
                type: string
        file_search:
          type: object
          properties:
            vector_store_ids:
              type: array
              description: >
                The ID of the [vector
                store](/docs/api-reference/vector-stores/object) attached to
                this assistant. There can be a maximum of 1 vector store
                attached to the assistant.
              maxItems: 1
              items:
                type: string
      nullable: true
    metadata:
      $ref: "#/components/schemas/Metadata"
    temperature:
      description: >
        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.
      type: number
      minimum: 0
      maximum: 2
      default: 1
      example: 1
      nullable: true
    top_p:
      type: number
      minimum: 0
      maximum: 1
      default: 1
      example: 1
      nullable: true
      description: >
        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:
      $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
      nullable: true
  required:
    - id
    - object
    - created_at
    - name
    - description
    - model
    - instructions
    - tools
    - metadata
  x-oaiMeta:
    name: The assistant object
    beta: true
    example: >
      {
        "id": "asst_abc123",
        "object": "assistant",
        "created_at": 1698984975,
        "name": "Math Tutor",
        "description": null,
        "model": "gpt-4o",
        "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
        "tools": [
          {
            "type": "code_interpreter"
          }
        ],
        "metadata": {},
        "top_p": 1.0,
        "temperature": 1.0,
        "response_format": "auto"
      }

Fields

created_at: i32

The Unix timestamp (in seconds) for when the assistant was created.

description: String

The description of the assistant. The maximum length is 512 characters.

id: String

The identifier, which can be referenced in API endpoints.

instructions: String

The system instructions that the assistant uses. The maximum length is 256,000 characters.

metadata: Metadata

model: String

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.

name: String

The name of the assistant. The maximum length is 256 characters.

object: String

The object type, which is always assistant.

response_format: Option<AssistantsApiResponseFormatOption>

temperature: Option<f32>

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.

tool_resources: Option<AssistantObjectToolResources>

tools: Vec<AssistantObjectTool>

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.

top_p: Option<f32>

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.

Trait Implementations

impl Debug for AssistantObject

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for AssistantObject

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for AssistantObject

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.