
Architectuurdiagram van een cloud AI-agent
Een professionele, tweetalige infographic voor bedrijven, die een gelaagde architectuur van een cloud-AI-agent laat zien, geschikt voor presentaties, productuitleg en technische marketing.
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{
"type": "enterprise cloud AI architecture infographic",
"style": "clean corporate vector diagram, white background, blue and teal palette, rounded rectangles, thin blue outlines, subtle shadows, Chinese-first bilingual labels with smaller English subtitles, symmetrical layout, presentation-slide quality",
"canvas": {
"aspect_ratio": "4:3",
"resolution": "1024x768"
},
"title_block": {
"headline": "{argument name=\"headline text\" default=\"Cloud AI Agent Architecture Diagram\"}",
"subtitle": "Cloud AI Agent Architecture for Cloud Task Execution, Code Collaboration & Large-Scale Scheduling",
"position": "top center"
},
"layout": {
"center": {
"type": "stacked architecture layers",
"count": 7,
"numbered": true,
"layers": [
{
"index": 1,
"title": "Access & Experience Layer",
"english": "access and experience layer",
"count": 5,
"items": [
"Web Console",
"IDE / CLI",
"API / SDK",
"Message Notifications Slack / Email",
"Task Kanban Organization & Project Space"
]
},
{
"index": 2,
"title": "Cloud Control Plane",
"english": "cloud control plane",
"count": 6,
"items": [
"API Gateway",
"Auth / Tenant",
"Session Manager",
"Project / Workspace Manager",
"Task Queue",
"Rate Limit / Billing"
]
},
{
"index": 3,
"title": "Agent Orchestration Layer",
"english": "agent orchestration layer",
"count": 8,
"items": [
"Planner / Task Planner",
"Reasoner / Inference Engine",
"Context Manager / Context Management",
"Memory / Memory System",
"Prompt Builder",
"Workflow Orchestrator / Workflow Orchestration",
"Policy Engine / Policy Engine",
"Multi-Agent Coordinator / Multi-Agent Coordination"
]
},
{
"index": 4,
"title": "Execution Runtime Layer",
"english": "execution runtime layer",
"count": 8,
"items": [
"Sandbox Pool / Container Sandbox",
"Browser / HTTP Tool",
"Code Runner / Terminal",
"Git Workspace",
"Tool Adapters / MCP",
"Scheduler / Worker",
"Test Runner",
"Artifact Executor / Patch & Diff"
]
},
{
"index": 5,
"title": "Model & Intelligent Service Layer",
"english": "model and intelligence services layer",
"count": 6,
"items": [
"Model Router",
"Frontier LLM API",
"Embedding / Reranker",
"OCR / STT / TTS (Optional)",
"Evaluator / Reflection",
"Third-party Agent / SaaS"
]
},
{
"index": 6,
"title": "Data and State Layer",
"english": "data and state layer",
"count": 8,
"items": [
"Relational DB",
"Vector DB",
"Redis Cache",
"Session State",
"Artifact Store",
"Object Storage",
"Configuration Center Config",
"Logs and Audit Logs"
]
},
{
"index": 7,
"title": "Cloud Infrastructure Layer",
"english": "cloud infrastructure layer",
"count": 8,
"items": [
"Kubernetes / Container Orchestration",
"Service Mesh",
"Event Bus",
"Secrets / KMS",
"VPC / Network",
"Autoscaling",
"CI/CD",
"Multi-Region Disaster Recovery DR"
]
}
]
},
"left_sidebar": {
"title": "Observability / SRE",
"position": "left",
"count": 6,
"items": [
"Monitoring",
"Tracing",
"Metrics",
"Log Aggregation Logs",
"Cost / Quota",
"Alerting"
]
},
"right_sidebar": {
"title": "Security Governance",
"position": "right",
"count": 6,
"items": [
"SSO / RBAC",
"Keys & Secrets",
"Policy Guardrails",
"Human Approval",
"Audit Compliance",
"Data Isolation"
]
},
"connectors": "bidirectional blue arrows linking both sidebars to every central layer, plus vertical arrows between each architecture layer"
},
"visual_details": {
"icons": "simple blue line icons in every box, one icon per module",
"boxes": "rounded white cards with pale blue or pale green tinted section backgrounds",
"section_colors": {
"layers_1_2_5_7": "light blue",
"layer_3": "light lavender",
"layer_4": "light cyan",
"layer_6": "light green",
"sidebars": "deep royal blue headers with white text"
},
"typography": "bold dark navy Chinese headline, smaller gray-blue subtitle, medium-weight Chinese section labels, compact bilingual item labels"
},
"footer": {
"position": "bottom center",
"text": "{argument name=\"footer text\" default=\"Features: Cloud Native • Multi-tenancy • Elastic Scalability • Security & Compliance • Human-Machine Collaboration • Task Traceability • Support for Multi-Model & Multi-Agent Collaboration\"}"
},
"quality": "crisp infographic, balanced spacing, high legibility, polished enterprise architecture slide suitable for keynote, documentation, and product marketing"
}Vraagvariabelen
Bewerkbare argumentplaceholders in de prompt, met hun standaardwaarden.
Variabele
headline text
Standaard
Cloud AI Agent Architecture Diagram
Variabele
footer text
Standaard
Features: Cloud Native • Multi-tenancy • Elastic Scalability • Security & Compliance • Human-Machine Collaboration • Task Traceability • Support for Multi-Model & Multi-Agent Collaboration
Best for
- - Grafisch ontwerp & 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: Tekst naar afbeelding
- - 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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- 1.Kopieer de prompt of open deze direct in Dovoo met de knop 'Genereren'.
- 2.Pas de variabelen, beeldverhouding en referentieafbeeldingen aan uw eigen toepassing aan.
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