
Architekturdiagramm für Desktop-KI-Agenten
Eine ansprechende zweisprachige (Chinesisch-Englisch) Infografik zur Unternehmensarchitektur für Präsentationen, Produktplanung oder zur Erläuterung des mehrschichtigen Aufbaus eines Desktop-KI-Agentensystems.
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Eingabeaufforderung
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{
"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
}
}Eingabeaufforderungsvariablen
In der Eingabeaufforderung befinden sich bearbeitbare Argumentplatzhalter mit ihren Standardwerten.
Best for
- - Grafik & Poster 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: Text zu Bild
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 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.
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