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Thinking Capability

Feature Overview: Thinking Capability is iFlow CLI's intelligent reasoning system that triggers AI deep thinking through keywords, providing deeper analysis and reasoning.

Learning Time: 10-15 minutes

Prerequisites: iFlow CLI installed and configured, basic command line operations

What is Thinking Capability​

Thinking Capability is iFlow CLI's built-in intelligent reasoning enhancement system that triggers AI model's deep thinking mode by recognizing specific keywords in user input. When activated, the AI will perform internal reasoning before giving final answers, showing its thought process to provide more accurate and deeper responses.

Core Features​

FeatureDescriptionAdvantage
Smart Keyword RecognitionSupports Chinese and English thinking trigger wordsNatural language interaction
Multi-level Reasoning Intensity5 reasoning levels: none, normal, hard, mega, ultraPrecise thinking depth control
Real-time Thinking DisplayShows AI's thinking processEnhanced transparency and credibility
Multi-model AdaptationSupports OpenAI o1, DeepSeek, GLM-4.5, etc.Broad model compatibility
Flexible Display ModesFull, compact, indicator display modesAdapts to different usage scenarios

How It Works​

Thinking Trigger Flow​

User Input → Keyword Analysis → Intent Recognition → Config Generation → Model Call → Thinking Display
    ↓
[Contains thinking words] → [Regex matching] → [Reasoning level] → [Token limit] → [Deep reasoning] → [Process visualization]

Reasoning Level System​

  • none: No thinking mode, direct response (0 tokens)
  • normal: Basic thinking, recognizes "想想", "think" and other basic words (2,000 tokens)
  • hard: Intermediate thinking, recognizes "再想想", "think harder" and other words (4,000 tokens)
  • mega: Advanced thinking, recognizes "好好思考", "think really hard" and other words (10,000 tokens)
  • ultra: Super thinking, recognizes "超级思考", "think super hard" and other words (32,000 tokens)

Detailed Feature Description​

Keyword Trigger System​

Chinese Trigger Words​

Super Thinking (Ultra):

  • 超级思考、极限思考、深度思考
  • 全力思考、超强思考
  • 认真仔细思考

Mega Thinking (Mega):

  • 强力思考、大力思考、用力思考
  • 努力思考、好好思考、仔细思考

Hard Thinking (Hard):

  • 再想想、多想想
  • 想清楚、想明白、考虑清楚

Basic Thinking (Normal):

  • 想想、思考、考虑

English Trigger Words​

Super Thinking (Ultra):

  • ultrathink
  • think really super hard
  • think intensely

Mega Thinking (Mega):

  • megathink
  • think really hard
  • think a lot

Hard Thinking (Hard):

  • think about it
  • think more
  • think harder

Basic Thinking (Normal):

  • think

Thinking Display​

The thinking process is presented in the thinking status indicator.

✻ Thinking...

Model Adaptation System​

Thinking capability currently supports hybrid reasoning models and currently supports the glm-4.5 model.

Usage Examples​

Basic Usage​


# 
> Think deeply about this complex system design problem

English Usage​

# Super thinking
> ultrathink this complex system design

Best Practices​

Troubleshooting​

Thinking Not Triggered​

  • Check if input contains correct trigger keywords
  • Verify if the model being used supports thinking capability
  • Confirm environment variable configuration is correct

Thinking Capability vs. Normal Conversation​

Thinking capability performs internal reasoning before answering, while normal conversation generates answers directly. Thinking mode provides deeper analysis but consumes more computational resources.

Thinking Capability vs. SubAgent​

Thinking capability is a single model's internal reasoning process, while SubAgent calls specialized agents to handle specific tasks. Thinking capability focuses on reasoning depth, SubAgent focuses on task specialization.

Internationalization Support​

Thinking capability fully supports Chinese and English interface display:

  • Chinese Interface: Displays "思考中", "展开", "折叠" and other Chinese prompts
  • English Interface: Displays "Thinking", "expand", "collapse" and other English prompts
  • Auto Switch: Automatically displays corresponding language interface based on system language settings

You can switch interface language by setting the LANGUAGE environment variable or using the /language command.