Dify工作流中如何去除deepseek-r1思考内容

最新推荐文章于 2025-05-23 15:28:57 发布

原创最新推荐文章于 2025-05-23 15:28:57 发布

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#java #前端 #javascript

在工作流中deepseek-r1的think标签内部的内容，很容易让工作流其他的llm产生幻觉，导致不能良好的生成目标效果。

我们通过代码的方式让deepseek-r1既有think思考链的效果，又不传递思考链。

工作流的逻辑为上图

去除think中的代码为

import re
def main(answer: str) -> dict:
    cleaned_text = re.sub(r'<think[^>]*>.*?</think>', '', answer, flags=re.DOTALL)
    # 移除清理后可能在开头的多余换行符
    final_text = re.sub(r'^\n+', '', cleaned_text)
    return {
        "result": final_text,
    }

这样子生成的效果就将think内容替换了

整个工作流的代码为

app:
  description: ''
  icon: 🤖
  icon_background: '#FFEAD5'
  mode: workflow
  name: outThink
  use_icon_as_answer_icon: false
dependencies:
- current_identifier: null
  type: marketplace
  value:
    marketplace_plugin_unique_identifier: langgenius/ollama:0.0.3@9ded90ac00e8510119a24be7396ba77191c9610d5e1e29f59d68fa1229822fc7
kind: app
version: 0.1.5
workflow:
  conversation_variables: []
  environment_variables: []
  features:
    file_upload:
      allowed_file_extensions:
      - .JPG
      - .JPEG
      - .PNG
      - .GIF
      - .WEBP
      - .SVG
      allowed_file_types:
      - image
      allowed_file_upload_methods:
      - local_file
      - remote_url
      enabled: false
      fileUploadConfig:
        audio_file_size_limit: 50
        batch_count_limit: 5
        file_size_limit: 15
        image_file_size_limit: 10
        video_file_size_limit: 100
        workflow_file_upload_limit: 10
      image:
        enabled: false
        number_limits: 3
        transfer_methods:
        - local_file
        - remote_url
      number_limits: 3
    opening_statement: ''
    retriever_resource:
      enabled: true
    sensitive_word_avoidance:
      enabled: false
    speech_to_text:
      enabled: false
    suggested_questions: []
    suggested_questions_after_answer:
      enabled: false
    text_to_speech:
      enabled: false
      language: ''
      voice: ''
  graph:
    edges:
    - data:
        isInIteration: false
        isInLoop: false
        sourceType: start
        targetType: llm
      id: 1743671825415-source-1743671830921-target
      source: '1743671825415'
      sourceHandle: source
      target: '1743671830921'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        isInLoop: false
        sourceType: llm
        targetType: code
      id: 1743671830921-source-1743671844725-target
      source: '1743671830921'
      sourceHandle: source
      target: '1743671844725'
      targetHandle: target
      type: custom
      zIndex: 0
    - data:
        isInIteration: false
        isInLoop: false
        sourceType: code
        targetType: end
      id: 1743671844725-source-1743671861862-target
      source: '1743671844725'
      sourceHandle: source
      target: '1743671861862'
      targetHandle: target
      type: custom
      zIndex: 0
    nodes:
    - data:
        desc: ''
        selected: false
        title: 开始
        type: start
        variables:
        - label: query
          max_length: 48
          options: []
          required: true
          type: text-input
          variable: query
      height: 90
      id: '1743671825415'
      position:
        x: 80
        y: 282
      positionAbsolute:
        x: 80
        y: 282
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: ''
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: deepseek-r1:14b
          provider: langgenius/ollama/ollama
        prompt_template:
        - id: bf6b98c6-75dd-4513-b87f-21d6087490ef
          role: system
          text: 回答问题{{#1743671825415.query#}}
        selected: false
        title: LLM
        type: llm
        variables: []
        vision:
          enabled: false
      height: 90
      id: '1743671830921'
      position:
        x: 384
        y: 282
      positionAbsolute:
        x: 384
        y: 282
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import re\ndef main(answer: str) -> dict:\n    cleaned_text = re.sub(r'<think[^>]*>.*?</think>',\
          \ '', answer, flags=re.DOTALL)\n    # 移除清理后可能在开头的多余换行符\n    final_text =\
          \ re.sub(r'^\\n+', '', cleaned_text)\n    return {\n        \"result\":\
          \ final_text,\n    }"
        code_language: python3
        desc: ''
        outputs:
          result:
            children: null
            type: string
        selected: false
        title: 去除think
        type: code
        variables:
        - value_selector:
          - '1743671830921'
          - text
          variable: answer
      height: 54
      id: '1743671844725'
      position:
        x: 688
        y: 282
      positionAbsolute:
        x: 688
        y: 282
      selected: true
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        desc: ''
        outputs:
        - value_selector:
          - '1743671844725'
          - result
          variable: result
        selected: false
        title: 结束
        type: end
      height: 90
      id: '1743671861862'
      position:
        x: 992
        y: 282
      positionAbsolute:
        x: 992
        y: 282
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    viewport:
      x: -39
      y: 94
      zoom: 1