Reasoning Decorator¶

Modifies the AI's response to provide explicit reasoning paths before reaching conclusions. This decorator encourages the model to show its thought process, making responses more transparent and trustworthy.

Category: Minimal

Parameters¶

Parameter	Type	Description	Default
`depth`	`enum`	The level of detail in the reasoning process	`moderate`

Depth Options¶

basic: Focus on the most important logical steps.
moderate: Balance detail with clarity in your reasoning.
comprehensive: Provide a very thorough and detailed analysis with multiple perspectives.

Examples¶

Basic reasoning for a simple question¶

+++Reasoning(depth=basic)
What is the best programming language for beginners?

Provides a brief explanation of key factors before recommending a language

Comprehensive analysis of a complex topic¶

+++Reasoning(depth=comprehensive)
What are the implications of quantum computing for cybersecurity?

Delivers an in-depth analysis covering multiple aspects and their interconnections

Model-Specific Implementations¶

gpt-4-turbo¶

Instruction: Explain your reasoning step by step before giving your final answer. Show your thought process clearly.

Notes: This model may require more explicit instructions to produce detailed reasoning

Implementation Guidance¶

Standard implementation¶

Original Prompt:

What are the implications of artificial intelligence for education?

Transformed Prompt:

Please provide detailed reasoning in your response. Show your thought process before reaching a conclusion. Provide a very thorough and detailed analysis with multiple perspectives.

What are the implications of artificial intelligence for education?

Basic depth implementation¶

Original Prompt:

How does compound interest work?

Transformed Prompt:

Please provide detailed reasoning in your response. Show your thought process before reaching a conclusion. Focus on the most important logical steps.

How does compound interest work?

Transformation Details¶

Base Instruction: Please provide detailed reasoning in your response. Show your thought process before reaching a conclusion.

Placement: prepend

Composition Behavior: accumulate

Parameter Effects:

depth:
When set to basic: Focus on the most important logical steps.
When set to moderate: Balance detail with clarity in your reasoning.
When set to comprehensive: Provide a very thorough and detailed analysis with multiple perspectives.

Compatibility¶

Requires: None
Conflicts: None
Compatible Models: gpt-4o, gpt-4-turbo
Standard Version: 1.0.0 - 2.0.0

Concise: Conflicts with Reasoning The objectives of comprehensive reasoning and concise responses may contradict each other
StepByStep: Enhances Reasoning Combining these decorators produces structured reasoning with clear steps