1. 工作流-图片文字提取
大模型图片识别提示词通过 gemini 生成,提示词如下:
图片文字提取 提示词
Role
你是一位拥有 20 年经验的高级 OCR(光学字符识别)专家,精通多种语言、复杂排版及各类手写体识别,能够以极高的准确度还原图片中的文本信息。
Task
请完整、精确地提取所提供图片中的所有文字内容,并保持其逻辑结构。
Rules & Constraints
- 忠实原意:严禁对图片文字进行总结、修改或拼写纠错。无论原图文字是否有误,均按视觉呈现原样输出。
- 结构还原:
- 保持段落分明,确保标题、正文、列表、脚注的层次感。
- 若有表格,请使用 Markdown 表格格式还原。
- 若有分栏排版,请按人类正常阅读顺序(从左到右,从上到下)排列。
- 视觉标注:
- 无法辨认的模糊字符请使用 [?] 代替。
- 图片中的特殊符号或图标,可用文字描述(例如:[检查框已勾选])。
- 负面约束:
- 不要输出诸如“好的,这是我为你识别的文字”之类的开场白。
- 不要输出任何关于图片质量的评价。
- 严禁忽略图片边缘的小字或水印文字(除非特别要求)。
请统一使用 Markdown 格式进行输出,确保在代码块中呈现纯文本,以便于我直接复制。
2. 工作流-发票信息提取
3. 对话流-作文写作
可以使用工具中的 markdown转docx 来完成文章生成以方便下载
对话流-作文写作
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| app: description: '' icon: 🤖 icon_background: '#FFEAD5' icon_type: emoji mode: advanced-chat name: demo3-智能写作并生成word文档 use_icon_as_answer_icon: false dependencies: - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/siliconflow:0.0.50@94cd52b1effc7c6d7cce24f394906de790b6496d0e3d1a0f15158b30e29863e4 version: null - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: stvlynn/doc:0.0.1@900d82963e63c505136dfc77f3e06329326e714ca66bed668224e811f73efc7b version: null kind: app version: 0.6.0 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: attachment_image_file_size_limit: 2 audio_file_size_limit: 50 batch_count_limit: 5 file_size_limit: 15 file_upload_limit: 20 image_file_batch_limit: 10 image_file_size_limit: 10 single_chunk_attachment_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: sourceType: start targetType: llm id: 1777212688546-llm source: '1777212688546' sourceHandle: source target: llm targetHandle: target type: custom - data: isInIteration: false isInLoop: false sourceType: llm targetType: tool id: llm-source-1777212849252-target source: llm sourceHandle: source target: '1777212849252' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: tool targetType: answer id: 1777212849252-source-answer-target source: '1777212849252' sourceHandle: source target: answer targetHandle: target type: custom zIndex: 0 nodes: - data: selected: false title: 用户输入 type: start variables: - default: '' hint: '' label: 文章标题 options: [] placeholder: '' required: true type: text-input variable: title height: 109 id: '1777212688546' position: x: 189 y: 150.78962915804343 positionAbsolute: x: 189 y: 150.78962915804343 selected: false sourcePosition: right targetPosition: left type: custom width: 242 - data: context: enabled: false variable_selector: [] memory: query_prompt_template: '{{#sys.query#}}
{{#sys.files#}}' role_prefix: assistant: '' user: '' window: enabled: false size: 10 model: completion_params: temperature: 0.7 mode: chat name: Pro/moonshotai/Kimi-K2.5 provider: langgenius/siliconflow/siliconflow prompt_template: - id: 21b0492e-9b48-4ea4-a1b4-bd860f4ae0f2 role: system text: "# Role\n你是一位深耕中小学语文教育 20 年的资深作文导师,擅长根据不同学段的教学大纲,指导学生完成从构思、起草到润色的全过程。\n\ \n# Task\n请根据以下要求,为我提供作文指导或创作:\n- **当前学段**:[小学/初中/高中]\n- **作文题目**:[在此输入题目]\n\ - **字数要求**:[如:400字/600字/800字]\n- **体裁要求**:[如:记叙文/议论文/说明文/读后感]\n- **核心诉求**:[如:提供提纲\ \ / 范文展示 / 润色我的草稿]\n\n# Section 1: 学段适配规则 (Internal Logic)\n1. **小学模式**:语言要生动活泼,多用修辞手法(比喻、拟人),侧重观察生活,情感表达要真挚自然,逻辑结构简单清晰(总分总)。\n\ 2. **初中模式**:强调“以小见大”,立意要有一定的深度。记叙文要求细节描写(动作、心理、环境),议论文要求论点明确,论据典型。\n3.\ \ **高中模式**:语言要深刻、厚重,具有逻辑辨析度。议论文需具备多维度思考(思辨性),引用名言素材要新颖,结构要求严谨(起承转合)。\n\ \n# Section 2: 响应流程 (Response Steps)\n请按以下顺序分阶段输出内容:\n\n### 1. 思路启发与提纲\ \ (The Blueprint)\n - 分析题目:解析题目的核心意图和隐含要求。\n - 确定立意:提供 2-3 个不同的写作角度。\n\ \ - 搭建框架:提供一个逻辑严谨的写作大纲。\n\n### 2. 佳句/素材库 (The Toolbox)\n - 提供 3 个与主题相关的名言警句或文学素材。\n\ \ - 提供 3 组针对该主题的优美词汇或排比句式。\n\n### 3. 全文示范/润色建议 (The Masterpiece)\n \ \ - [如果是“提供范文”]:请写出一篇符合该学段水平的优秀范文,并标注出其中的亮点。\n - [如果是“润色草稿”]:请针对我提供的草稿,指出逻辑缺陷、修改病句,并提供一个升级后的对比段落。\n\ \n# Constraints\n- 严禁使用过于AI化的机械用语(如“综上所述”、“总而言之”)。\n- 语言风格必须符合学生的身份,不能写得像学术论文或官场报告。\n\ - 遵循最新的语文教学大纲标准。" selected: false title: 大模型写作 type: llm vision: enabled: false height: 88 id: llm position: x: 380 y: 282 positionAbsolute: x: 380 y: 282 selected: false sourcePosition: right targetPosition: left type: custom width: 242 - data: answer: '请点击下载: {{#1777212849252.files#}}' selected: false title: 直接回复 type: answer variables: [] height: 103 id: answer position: x: 650 y: 481 positionAbsolute: x: 650 y: 481 selected: false sourcePosition: right targetPosition: left type: custom width: 242 - data: is_team_authorization: true paramSchemas: - auto_generate: null default: null form: llm human_description: en_US: The Markdown content to be converted to Word document ja_JP: Word ドキュメントに変換する Markdown コンテンツ pt_BR: O conteúdo Markdown a ser convertido para documento Word zh_Hans: 要转换为Word文档的Markdown内容 label: en_US: Markdown Content ja_JP: Markdown コンテンツ pt_BR: Conteúdo Markdown zh_Hans: Markdown内容 llm_description: The Markdown content that will be converted to a Word document max: null min: null name: markdown_content options: [] placeholder: null precision: null required: true scope: null template: null type: string - auto_generate: null default: null form: llm human_description: en_US: The title of the Word document ja_JP: Word ドキュメントのタイトル pt_BR: O título do documento Word zh_Hans: Word文档的标题 label: en_US: Document Title ja_JP: ドキュメントタイトル pt_BR: Título do Documento zh_Hans: 文档标题 llm_description: The title that will be displayed at the top of the Word document max: null min: null name: title options: [] placeholder: null precision: null required: false scope: null template: null type: string params: markdown_content: '' title: '' plugin_id: stvlynn/doc plugin_unique_identifier: stvlynn/doc:0.0.1@900d82963e63c505136dfc77f3e06329326e714ca66bed668224e811f73efc7b provider_icon: /console/api/workspaces/current/plugin/icon?tenant_id=ca30802b-cc15-495f-aca3-42ad30495707&filename=cb0643689e2f8152d38c44a267a459fae99ff208b0bc164e27ccb053fc1844cd.svg provider_id: stvlynn/doc/doc provider_name: stvlynn/doc/doc provider_type: builtin selected: true title: Markdown转DOCX转换器 tool_configurations: {} tool_description: 将Markdown内容转换为DOCX(Word)文档 tool_label: Markdown转DOCX转换器 tool_name: markdown_to_docx_converter tool_node_version: '2' tool_parameters: markdown_content: type: mixed value: '{{#llm.text#}}' title: type: mixed value: '{{#1777212688546.title#}}' type: tool height: 52 id: '1777212849252' position: x: 510 y: 397 positionAbsolute: x: 510 y: 397 selected: true sourcePosition: right targetPosition: left type: custom width: 242 viewport: x: 26.313955203020214 y: -0.6343146456992486 zoom: 1 rag_pipeline_variables: []
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4. 对话流-评价分了
问题分类中的只需要书写结果即可, 不用关键词和大模型, 组件会自动调用
5. 工作流-网络请求


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| app: description: '' icon: 🤖 icon_background: '#FFEAD5' icon_type: emoji mode: workflow name: demo5-网络请求 use_icon_as_answer_icon: false dependencies: - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/siliconflow:0.0.50@94cd52b1effc7c6d7cce24f394906de790b6496d0e3d1a0f15158b30e29863e4 version: null kind: app version: 0.6.0 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: attachment_image_file_size_limit: 2 audio_file_size_limit: 50 batch_count_limit: 5 file_size_limit: 15 file_upload_limit: 20 image_file_batch_limit: 10 image_file_size_limit: 10 single_chunk_attachment_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: http-request id: 1777215491451-source-1777215500148-target source: '1777215491451' sourceHandle: source target: '1777215500148' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: http-request targetType: parameter-extractor id: 1777215500148-source-1777215638255-target source: '1777215500148' sourceHandle: source target: '1777215638255' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: parameter-extractor targetType: end id: 1777215638255-source-1777215643263-target source: '1777215638255' sourceHandle: source target: '1777215643263' targetHandle: target type: custom zIndex: 0 nodes: - data: selected: false title: 用户输入 type: start variables: [] height: 73 id: '1777215491451' position: x: -20.999999999999943 y: 267 positionAbsolute: x: -20.999999999999943 y: 267 selected: false sourcePosition: right targetPosition: left type: custom width: 242 - data: authorization: config: null type: no-auth body: data: - id: key-value-443 key: '' type: text value: '{
"username":"ck001",
"password":"123456",
"captcha":"9999",
"captchakey":1572
}' type: json headers: Content-Type:application/json method: post params: '' retry_config: max_retries: 3 retry_enabled: true retry_interval: 100 selected: false ssl_verify: true timeout: max_connect_timeout: 0 max_read_timeout: 0 max_write_timeout: 0 title: HTTP 请求 type: http-request url: http://vip.ytesting.com/api/token/ variables: [] height: 138 id: '1777215500148' position: x: 97 y: 367 positionAbsolute: x: 97 y: 367 selected: false sourcePosition: right targetPosition: left type: custom width: 242 - data: instruction: '' model: completion_params: temperature: 0.7 mode: chat name: Pro/moonshotai/Kimi-K2.5 provider: langgenius/siliconflow/siliconflow parameters: - description: 提取登录的token name: token required: false type: string query: - '1777215500148' - body reasoning_mode: prompt selected: false title: 参数提取器 type: parameter-extractor vision: enabled: false height: 88 id: '1777215638255' position: x: 205.80908999402482 y: 527.4207416839131 positionAbsolute: x: 205.80908999402482 y: 527.4207416839131 selected: false sourcePosition: right targetPosition: left type: custom width: 242 - data: outputs: - value_selector: - '1777215500148' - body value_type: string variable: body - value_selector: - '1777215638255' - token value_type: string variable: token selected: true title: 输出 type: end height: 114 id: '1777215643263' position: x: 409.98386534235044 y: 627.7734945003938 positionAbsolute: x: 409.98386534235044 y: 627.7734945003938 selected: true sourcePosition: right targetPosition: left type: custom width: 242 viewport: x: 205.5924062823509 y: -144.21074345838844 zoom: 1.0000000000000002 rag_pipeline_variables: []
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