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Imagen de vista previa del diagrama de arquitectura del agente de IA de escritorio
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Diagrama de arquitectura del agente de IA de escritorio

Una infografía bilingüe chino-inglés de arquitectura empresarial, de alta calidad, para presentaciones, planificación de productos o para explicar el diseño por capas de un sistema de agente de IA de escritorio.

Este es un ejemplo GPT Image 2 para Diseño gráfico y carteles . Utilice la plantilla lista para copiar que aparece a continuación para generar imágenes similares y revise la atribución de Awesome GPT Image 2 Prompts y los derechos de uso comercial antes de reutilizarla.

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Prompt

Mensaje listo para copiar

{
  "type": "bilingual enterprise architecture infographic",
  "topic": "{argument name=\"headline text\" default=\"Desktop AI Agent Architecture Diagram\"}",
  "subtitle": "Desktop AI Agent Architecture for Code Generation, Project Collaboration, and Local Execution",
  "style": {
    "look": "clean modern SaaS diagram, corporate presentation slide, vector infographic",
    "background": "very light gray-white",
    "palette": {
      "primary": "deep navy blue",
      "secondary": "medium blue",
      "accent": "teal green",
      "support": "soft gray",
      "security": "bright royal blue"
    },
    "typography": "bold Chinese headline with smaller bilingual labels, crisp sans-serif, high legibility",
    "icons": "minimal line icons inside rounded white cards with subtle shadows and blue outlines",
    "geometry": "symmetrical grid, rounded rectangles, thin connector arrows, evenly spaced modules"
  },
  "layout": {
    "orientation": "landscape 4:3 presentation slide",
    "header": {
      "title_centered": true,
      "title_size": "large",
      "subtitle_below": true
    },
    "sections": [
      {
        "title": "Observability",
        "position": "far left vertical sidebar",
        "count": 4,
        "labels": [
          "Monitoring",
          "Tracing",
          "Metrics",
          "Error Alerting"
        ],
        "container": "tall rounded blue panel with four stacked cells and icons"
      },
      {
        "title": "Security Governance",
        "position": "far right vertical sidebar",
        "count": 4,
        "labels": [
          "Permission Verification",
          "Sensitive Information Protection",
          "Command Confirmation",
          "Audit Trail"
        ],
        "container": "tall rounded blue panel with four stacked cells and icons"
      },
      {
        "title": "1 User Interaction Layer",
        "position": "top horizontal layer",
        "count": 5,
        "labels": [
          "Desktop Client UI",
          "Session Panel / Chat",
          "Project Workspace",
          "Tasks & History",
          "Settings & Permissions"
        ],
        "container": "wide rounded white panel with blue border"
      },
      {
        "title": "2 Agent Orchestration Layer",
        "position": "second horizontal layer",
        "count": 7,
        "labels": [
          "Planner / Task Planner",
          "Reasoner / Inference Engine",
          "Context Manager / Context Management",
          "Memory / Memory System",
          "Prompt Builder",
          "Permissions & Security Policies",
          "Workflow Orchestrator / Workflow Orchestration"
        ],
        "container": "wide rounded white panel with faint purple-blue tint"
      },
      {
        "title": "3 Capability Execution Layer",
        "position": "third horizontal layer",
        "count": 8,
        "labels": [
          "File System",
          "IDE Bridge",
          "Terminal / Shell",
          "Git & Version Control",
          "Search & Retrieval RAG",
          "Browser / HTTP Tool",
          "Test Runner",
          "Patch / Diff Runner"
        ],
        "container": "wide rounded white panel with faint teal tint"
      },
      {
        "title": "4 Models and Service Layer",
        "position": "fourth horizontal layer",
        "count": 5,
        "labels": [
          "Cloud-based Large Model API",
          "Local Model Runtime",
          "Embedding / Reranker",
          "Speech / OCR (optional)",
          "Third-party Agent Service"
        ],
        "container": "wide rounded white panel with blue border"
      },
      {
        "title": "5 Data and State Layer",
        "position": "fifth horizontal layer",
        "count": 6,
        "labels": [
          "Project Index",
          "Vector Store",
          "Local Cache",
          "Session State",
          "Configuration Center Config",
          "Logs and Audit Logs"
        ],
        "container": "wide rounded white panel with faint green tint"
      },
      {
        "title": "6 System Integration Layer",
        "position": "bottom horizontal layer",
        "count": 6,
        "labels": [
          "Operating System Integration",
          "Permission Sandbox",
          "File Watcher",
          "Notification Service",
          "Background Daemon",
          "Auto Updater"
        ],
        "container": "wide rounded white panel with blue border"
      }
    ],
    "centerpiece": "six stacked architecture layers in the middle with side governance columns",
    "connectors": "dashed double-headed arrows connect each central layer to both sidebars; vertical blue arrows flow downward between central layers; small upward gray arrows rise from the bottom integration layer into the data layer",
    "footer": {
      "count": 1,
      "text": "Features: Local First · Pluggable Tools · Human-Machine Collaboration · Secure and Controllable · Supports Offline/Cloud Hybrid Deployment",
      "position": "bottom center"
    }
  },
  "rendering": {
    "flat_vector": true,
    "high_resolution": true,
    "sharp_lines": true,
    "balanced_whitespace": true,
    "professional_pitch_deck_quality": true
  }
}

Variables de solicitud

Marcadores de posición de argumentos editables que se encuentran en la solicitud, con sus valores predeterminados.

1
Variable
headline text
Por defecto
Desktop AI Agent Architecture Diagram

Best for

  • - Diseño gráfico y carteles visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Texto a imagen
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Importado de Awesome GPT Image 2 Prompts . Se requiere atribución. El estado de uso comercial es allowed ; revise los derechos de la fuente antes de su uso comercial.

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Utilice esta opción de forma segura después de previsualizar el caso.

  1. 1.Copia la solicitud o ábrela directamente en Dovoo con el botón de generación.
  2. 2.Ajusta las variables, la relación de aspecto y las imágenes de referencia según tus necesidades.
  3. 3.Antes de publicar o utilizar el servicio de forma remunerada, verifique los derechos de autor, los requisitos de atribución y los riesgos relacionados con la marca o la imagen de la persona.
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