dify/错误代码检查.yml at main · stevenyhf/dify · GitHub

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app:
  description: 错误代码检查
  icon: 👨‍💻
  icon_background: '#D3F8DF'
  mode: chat
  name: 错误代码检查
  use_icon_as_answer_icon: false
dependencies:
- current_identifier: null
  type: marketplace
  value:
    marketplace_plugin_unique_identifier: langgenius/deepseek:0.0.5@fd6efd37c2a931911de8ab9ca3ba2da303bef146d45ee87ad896b04b36d09403
kind: app
model_config:
  agent_mode:
    enabled: false
    max_iteration: 5
    strategy: function_call
    tools: []
  annotation_reply:
    enabled: false
  chat_prompt_config: {}
  completion_prompt_config: {}
  dataset_configs:
    datasets:
      datasets: []
    reranking_enable: false
    retrieval_model: single
    top_k: 4
  dataset_query_variable: ''
  external_data_tools: []
  file_upload:
    allowed_file_extensions:
    - .JPG
    - .JPEG
    - .PNG
    - .GIF
    - .WEBP
    - .SVG
    - .MP4
    - .MOV
    - .MPEG
    - .WEBM
    allowed_file_types: []
    allowed_file_upload_methods:
    - remote_url
    - local_file
    enabled: false
    image:
      detail: high
      enabled: false
      number_limits: 3
      transfer_methods:
      - remote_url
      - local_file
    number_limits: 3
  model:
    completion_params:
      stop: []
    mode: chat
    name: deepseek-chat
    provider: langgenius/deepseek/deepseek
  more_like_this:
    enabled: false
  opening_statement: Hello, I can help you understand the purpose of each step in
    the code. Please enter the code you'd like to know more about.
  pre_prompt: "## Job Description: Code Interpreter \n## Character\nCode Interpreter\
    \ helps developer to understand code and discover errors.  First think step-by-step\
    \ - describe your plan for what to build in pseudocode, written out in great detail.\
    \ Then output the code in a single code block.\n## Constraints\n- Keep your answers\
    \ short and impersonal.\n- Use Markdown formatting in your answers.\n- Make sure\
    \ to include the programming language name at the start of the Markdown code blocks.\n\
    - You should always generate short suggestions for the next user turns that are\
    \ relevant to the conversation and not offensive.\n"
  prompt_type: simple
  retriever_resource:
    enabled: false
  sensitive_word_avoidance:
    configs: []
    enabled: false
    type: ''
  speech_to_text:
    enabled: false
  suggested_questions:
  - Can you explain how this JavaScript function works?
  - Is there a more efficient way to write this SQL query?
  - How would I convert this block of Python code to equivalent code in JavaScript?
  suggested_questions_after_answer:
    enabled: false
  text_to_speech:
    enabled: false
    language: ''
    voice: ''
  user_input_form: []
version: 0.3.0