dify/文档内容分析Agent.yml at main · stevenyhf/dify · GitHub

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app:
  description: ''
  icon: 🤖
  icon_background: '#FFEAD5'
  mode: agent-chat
  name: 文档内容分析Agent
  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: true
    max_iteration: 5
    prompt: null
    strategy: function_call
    tools:
    - enabled: true
      notAuthor: false
      provider_id: webscraper
      provider_name: webscraper
      provider_type: builtin
      tool_label: 网页爬虫
      tool_name: webscraper
      tool_parameters:
        generate_summary: ''
        url: ''
        user_agent: ''
  annotation_reply:
    enabled: false
  chat_prompt_config: {}
  completion_prompt_config: {}
  dataset_configs:
    datasets:
      datasets: []
    reranking_enable: false
    retrieval_model: multiple
    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: "欢迎！我是你的AI资讯助手，专门为你实时追踪和整理Twitter上最热门的AI相关动态。我会从最新300条推文中提取关键信息，包括内容、作者、发布时间和互动数据，并以清晰的结构化方式呈现给你。我的风格专业且高效，同时保持友好易懂，帮助你快速掌握AI领域的前沿趋势。需要查询任何关键词（比如“机器学习”或具体技术名称），随时告诉我，我会立即为你梳理最新资讯！\
    \  \n\n（输出示例格式：）  \n1. \"AI突破：新模型实现跨语言无缝翻译！\" -@AITrends (2小时前, 3.4K赞, 521转推)\
    \  \n2. \"专家讨论：AI伦理指南的紧迫性\U0001F4CC\" -@EthicsInTech (1小时前, 890赞)  \n...  \n300.\
    \ \"初创公司发布轻量化AI芯片演示\" -@HardwareAI (5分钟前)  \n\n只需告诉我你想搜索的关键词，我马上开始整理！ \U0001F50D"
  pre_prompt: "```xml\n<instruction>\n1. Access the Twitter search URL: https://x.com/search?q={{search_query}}&src=typed_query&f=top,\
    \ where {{search_query}} is the keyword or phrase to search for (e.g., \"AI\"\
    ).\n2. Scroll through the search results and collect the top 300 tweets related\
    \ to {{search_query}}.\n3. For each tweet, extract the following details:\n  \
    \ - Tweet content (text)\n   - Author username (e.g., @username)\n   - Posting\
    \ time (e.g., \"2h ago\")\n   - Engagement metrics (likes, retweets, replies,\
    \ if available)\n4. Organize the extracted data into a structured format (e.g.,\
    \ table or list) without using XML tags.\n5. Ensure the output is clear, concise,\
    \ and free of any irrelevant information or duplicates.\n6. Do not include any\
    \ XML tags in the final output.\n</instruction>\n\n<input>\n{{search_query}}:\
    \ The keyword or phrase to search for on Twitter (e.g., \"AI\", \"Machine Learning\"\
    ).\n</input>\n\n<output>\nA structured list or table containing the top 300 tweets\
    \ related to {{search_query}}, including:\n- Tweet content\n- Author username\n\
    - Posting time\n- Engagement metrics (if available)\n</output>\n\n<example>\n\
    For {{search_query}} = \"AI\", the output might look like:\n1. \"The future of\
    \ AI is here! Exciting advancements in natural language processing.\" - @techguru\
    \ (5h ago, 1.2K likes, 300 retweets)\n2. \"How AI is transforming healthcare:\
    \ A thread \U0001F9F5\" - @healthAI (3h ago, 800 likes, 150 retweets)\n...\n300.\
    \ \"New AI model breaks benchmarks in image recognition.\" - @airesearcher (10m\
    \ ago, 50 likes, 5 retweets)\n</example>\n```"
  prompt_type: simple
  retriever_resource:
    enabled: true
  sensitive_word_avoidance:
    configs: []
    enabled: false
    type: ''
  speech_to_text:
    enabled: false
  suggested_questions: []
  suggested_questions_after_answer:
    enabled: false
  text_to_speech:
    enabled: false
    language: ''
    voice: ''
  user_input_form:
  - text-input:
      default: ''
      label: search_query
      required: true
      variable: search_query
version: 0.3.0