DeclarativeAgentDefinition Class
Definition
Important
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The prompt agent definition.
public class DeclarativeAgentDefinition : Azure.AI.Projects.Agents.ProjectsAgentDefinition, System.ClientModel.Primitives.IJsonModel<Azure.AI.Projects.Agents.DeclarativeAgentDefinition>, System.ClientModel.Primitives.IPersistableModel<Azure.AI.Projects.Agents.DeclarativeAgentDefinition>type DeclarativeAgentDefinition = class
inherit ProjectsAgentDefinition
interface IJsonModel<DeclarativeAgentDefinition>
interface IPersistableModel<DeclarativeAgentDefinition>Public Class DeclarativeAgentDefinition
Inherits ProjectsAgentDefinition
Implements IJsonModel(Of DeclarativeAgentDefinition), IPersistableModel(Of DeclarativeAgentDefinition)- Inheritance
- Implements
Constructors
| Name | Description |
|---|---|
| DeclarativeAgentDefinition(String) |
Initializes a new instance of DeclarativeAgentDefinition. |
Properties
| Name | Description |
|---|---|
| ContentFilterConfiguration |
Configuration for Responsible AI (RAI) content filtering and safety features. (Inherited from ProjectsAgentDefinition) |
| Instructions |
A system (or developer) message inserted into the model's context. |
| Model |
The model deployment to use for this agent. |
| ReasoningOptions | |
| StructuredInputs |
Set of structured inputs that can participate in prompt template substitution or tool argument bindings. |
| 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 |
| TextOptions | |
| ToolChoice |
How the model should select which tool (or tools) to use when generating a response.
See the To assign an object to this property use FromObjectAsJson<T>(T, JsonSerializerOptions). To assign an already formatted json string to this property use FromString(String). <remarks> Supported types:
Examples:
|
| Tools |
An array of tools the model may call while generating a response. You
can specify which tool to use by setting the |
| 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 |
