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Qbusiness  >  Structures  >  InstructionCollection

InstructionCollection

Structure Class

InstructionCollection dataclass

A set of instructions that define how Amazon Q Business should generate and format responses to user queries. This collection includes parameters for controlling response characteristics such as length, audience targeting, perspective, style, identity, tone, and custom instructions.

Attributes

custom_instructions class-attribute instance-attribute
custom_instructions: str | None = None

Allows administrators to provide specific, custom instructions that guide how Amazon Q Business should respond in particular scenarios or to certain types of queries, enabling fine-grained control over response generation.

examples class-attribute instance-attribute
examples: str | None = None

Provides sample responses or templates that Amazon Q Business can reference when generating responses, helping to establish consistent patterns and formats for different types of user queries.

identity class-attribute instance-attribute
identity: str | None = None

Defines the persona or identity that Amazon Q Business should adopt when responding to users, allowing for customization of the assistant's character, role, or representation within an organization.

output_style class-attribute instance-attribute
output_style: str | None = None

Specifies the formatting and structural style of responses, such as bullet points, paragraphs, step-by-step instructions, or other organizational formats that enhance readability and comprehension.

perspective class-attribute instance-attribute
perspective: str | None = None

Determines the point of view or perspective from which Amazon Q Business generates responses, such as first-person, second-person, or third-person perspective, affecting how information is presented to users.

response_length class-attribute instance-attribute
response_length: str | None = None

Specifies the desired length of responses generated by Amazon Q Business. This parameter allows administrators to control whether responses are concise and brief or more detailed and comprehensive.

target_audience class-attribute instance-attribute
target_audience: str | None = None

Defines the intended audience for the responses, allowing Amazon Q Business to tailor its language, terminology, and explanations appropriately. This could range from technical experts to general users with varying levels of domain knowledge.

tone class-attribute instance-attribute
tone: str | None = None

Controls the emotional tone and communication style of responses, such as formal, casual, technical, friendly, or professional, to align with organizational communication standards and user expectations.