Class AssistantRequest
Give Assistants access to OpenAI-hosted tools like Issue Interpreter and Knowledge Retrieval, or build your own tools using Function calling. Usage of OpenAI-hosted tools comes at an additional fee — visit our help center article to learn more about how these tools are priced.
Namespace: Glitch9.AIDevKit.OpenAI
Assembly: .dll
Syntax
public class AssistantRequest : ModelRequest
Remarks
Properties
Description
The description of the AssistantObject. The maximum length is 512 characters.
Declaration
public string Description { get; set; }
Property Value
Type | Description |
---|---|
string |
Instructions
The System instructions that the AssistantObject uses. The maximum length is 32768 characters.
Declaration
public string Instructions { get; set; }
Property Value
Type | Description |
---|---|
string |
Name
The name of the AssistantObject. The maximum length is 256 characters.
Declaration
public string Name { get; set; }
Property Value
Type | Description |
---|---|
string |
ResponseFormat
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.
Declaration
public ResponseFormat ResponseFormat { get; set; }
Property Value
Type | Description |
---|---|
ResponseFormat |
Remarks
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.
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. We generally recommend altering this or top_p but not both.
Declaration
public float? Temperature { get; set; }
Property Value
Type | Description |
---|---|
float? |
ToolResources
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.
Declaration
public ToolResources ToolResources { get; set; }
Property Value
Type | Description |
---|---|
ToolResources |
Tools
A list of Tool enabled on the AssistantObject. There can be a maximum of 128 tools per AssistantObject. Tools can be of types code_interpreter, retrieval, or Function.
Declaration
public List<ToolCall> Tools { get; set; }
Property Value
Type | Description |
---|---|
List<ToolCall> |
Remarks
Default: []
TopP
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.
Declaration
public float? TopP { get; set; }
Property Value
Type | Description |
---|---|
float? |