Explicit Reasoning Effort Setting

An Explicit Reasoning Effort Setting is a user-specified configurable reasoning effort setting that can override default reasoning effort through manual parameter specification.

• AKA: Explicit Reasoning Effort, Manual Reasoning Configuration, Custom Reasoning Setting, User-Defined Reasoning Effort.
• Context:
  • It can typically enable Fine-Grained Control through parameter specification.
  • It can typically support Task-Specific Optimization via custom configuration.
  • It can typically override Default Settings through explicit declaration.
  • It can typically accommodate Special Requirements via flexible adjustment.
  • It can typically optimize Performance Characteristics through targeted settings.
  • ...
  • It can often utilize Reasoning Object Structures for parameter encapsulation.
  • It can often specify Effort Level Strings like "minimal", "low", "medium", or "high".
  • It can often combine with Other Parameters for comprehensive configuration.
  • It can often enable A/B Testing through configuration comparison.
  • ...
  • It can range from being a Simple Explicit Reasoning Effort Setting to being a Complex Explicit Reasoning Effort Setting, depending on its configuration complexity.
  • It can range from being a Single-Value Explicit Reasoning Effort Setting to being a Multi-Value Explicit Reasoning Effort Setting, depending on its parameter count.
  • It can range from being a Static Explicit Reasoning Effort Setting to being a Dynamic Explicit Reasoning Effort Setting, depending on its runtime adaptability.
  • It can range from being a Nested Explicit Reasoning Effort Setting to being a Top-Level Explicit Reasoning Effort Setting, depending on its api structure.
  • ...
  • It can integrate with OpenAI Responses API through reasoning objects.
  • It can connect to Reasoning Effort Levels for effort specification.
  • It can interface with API Request Structures for parameter passing.
  • It can utilize JSON Formats for configuration encoding.
  • It can leverage Validation Systems for parameter verification.
  • ...
• Example(s):
  • API Explicit Reasoning Effort Settings, such as:
    • Responses API Explicit Reasoning Effort Setting with [["reasoning": {"effort": "high"}]].
    • Chat Completions Explicit Reasoning Effort Setting with "reasoning_effort": "minimal".
    • CURL Request Explicit Reasoning Effort Setting in command-line invocation.
  • Level-Specific Explicit Reasoning Effort Settings, such as:
    • Minimal Explicit Reasoning Effort Setting for speed optimization.
    • Low Explicit Reasoning Effort Setting for quick response.
    • High Explicit Reasoning Effort Setting for quality maximization.
  • Use-Case Explicit Reasoning Effort Settings, such as:
    • Research Explicit Reasoning Effort Setting with "effort": "high" for deep analysis.
    • Chat Explicit Reasoning Effort Setting with "effort": "minimal" for real-time response.
    • Code Review Explicit Reasoning Effort Setting with "effort": "medium" for balanced analysis.
  • ...
• Counter-Example(s):
  • Default Reasoning Effort Setting, which applies automatically without explicit specification.
  • Implicit Configuration, which derives from context rather than manual setting.
  • Automatic Parameter Selection, which chooses settings without user input.
• See: Reasoning Effort Setting, Reasoning Effort Parameter, API Parameter, Configuration Management, OpenAI Responses API, JSON Configuration, Parameter Specification, Manual Configuration, Override Setting.

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