README.md

Think Split Plugin Configuration Guide

Overview

Think Split Plugin is a plugin designed to handle thinking processes in AI model responses. It automatically identifies and separates <think> tag content in responses, extracting the thinking process from the main answer into a separate reasoning_content field, allowing AI's thinking process and final answer to be displayed and processed separately.

Features

• Automatic Recognition: Automatically detects <think>...</think> tags in responses
• Content Separation: Extracts thinking content to reasoning_content field
• Streaming Support: Supports both streaming and non-streaming response processing
• Zero Intrusion: Doesn't affect original response structure, only adds new fields
• High Performance: Uses efficient KMP algorithm for pattern matching

How It Works

Tag Recognition

The plugin recognizes thinking content in the following formats:

<think>
AI's thinking process here...
</think>

or

\n<think>
AI's thinking process here...
</think>\n

Content Transformation

Before:

{
  "choices": [{
    "message": {
      "content": "\n<think>\nThis is a math question...\n</think>\nThe answer is 42."
    }
  }]
}

After:

{
  "choices": [{
    "message": {
      "content": "The answer is 42.",
      "reasoning_content": "This is a math question..."
    }
  }]
}

Configuration Examples

Basic Configuration

{
  "model": "gpt-4",
  "type": 1,
  "plugin": {
    "think-split": {
      "enable": true
    }
  }
}

Complete Configuration Example

{
  "model": "claude-3-opus",
  "type": 1,
  "retry_times": 3,
  "plugin": {
    "think-split": {
      "enable": true
    }
  }
}

Configuration Field Description

Field	Type	Required	Default	Description
enable	bool	Yes	false	Whether to enable Think Split plugin

Working with Other Plugins

Think Split Plugin can work together with other plugins:

{
  "model": "gpt-4",
  "plugin": {
    "think-split": {
      "enable": true
    },
    "cache": {
      "enable": true,
      "ttl": 300
    },
    "web-search": {
      "enable": true
    }
  }
}

Important Notes

1. Performance Impact: The plugin uses efficient KMP algorithm with minimal performance impact
2. Content Integrity: Ensure <think> tags are properly closed, otherwise recognition may fail
3. Nested Handling: Nested <think> tags are not supported
4. Field Conflicts: If original response already contains reasoning_content field, it will be overwritten

Troubleshooting

Plugin Not Working

1. Check if enable is set to true
2. Confirm model configuration is loaded correctly
3. Verify response actually contains <think> tags

Content Not Properly Separated

1. Check if <think> tag format is correct
2. Confirm tags are properly closed
3. Check logs for error messages

Streaming Response Issues

1. Confirm client properly handles streaming responses
2. Check if SSE format is parsed correctly
3. Verify reasoning_content field is in delta

API Response Examples

Non-Streaming Response

{
  "id": "chatcmpl-123",
  "object": "chat.completion",
  "created": 1677652288,
  "model": "gpt-4",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Quantum entanglement is a phenomenon in quantum mechanics...",
      "reasoning_content": "The user is asking about quantum entanglement, which is a core concept in quantum physics..."
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

Streaming Response

data: {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1677652288,"model":"gpt-4","choices":[{"index":0,"delta":{"reasoning_content":"Starting to think about the problem..."},"finish_reason":null}]}

data: {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1677652288,"model":"gpt-4","choices":[{"index":0,"delta":{"content":"Quantum entanglement is"},"finish_reason":null}]}

data: [DONE]