domains / families / agent-tooling / nowait-reasoning-optimizer

nowait-reasoning-optimizer

separate

Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.

When to use

• Deploying R1-style reasoning models with limited compute
• Reducing inference latency for production systems
• Optimizing token costs for reasoning tasks
• Working with verbose CoT outputs that need streamlining

When not to use

• Less effective on very simple problems where CoT overhead is already minimal
• Distilled models may suffer accuracy loss on challenging tasks
• Some domains may require model-specific keyword tuning

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