Documento original
GPT Image 2 · en
{
"type": "Enterprise-grade cloud AI architecture infographic",
"style": "A clean corporate vector graphic with a white background, a blue and cyan color palette, rounded rectangles, thin blue outlines, soft shadows, bilingual labels primarily in Chinese with smaller English subheadings, a symmetrical layout, and presentation-quality graphics.",
"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, and Large-Scale Scheduling",
"position": "top center"
},
"layout": {
"center": {
"type": "Stacked architecture layers",
"count": 7,
"numbered": true,
"layers": [
{
"index": 1,
"title": "Access and Experience Layer",
"english": "access and experience layer",
"count": 5,
"items": [
"Web Console",
"IDE / CLI",
"API / SDK",
"Notifications via Slack/Email",
"Task Kanban organization and 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 / Reasoning Engine",
"Context Manager",
"Memory / Memory System",
"Prompt Builder",
"Workflow Orchestrator",
"Policy Engine",
"Multi-Agent Coordinator"
]
},
{
"index": 4,
"title": "Execute runtime layer",
"english": "execution runtime layer",
"count": 8,
"items": [
"Sandbox Pool / Container Sandbox",
"Browser / HTTP Tools",
"Code Runner / Terminal",
"Git Workspace",
"Tool Adapters / MCP",
"Scheduler / Worker",
"Test Runner",
"Artifact Executor / Patch & Diff"
]
},
{
"index": 5,
"title": "Model and 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",
"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-regional disaster recovery (DR)"
]
}
]
},
"left_sidebar": {
"title": "Observability/SRE",
"position": "left",
"count": 6,
"items": [
"Monitoring",
"Tracing",
"Metrics",
"Logs aggregation",
"Cost and Quota",
"Alerting"
]
},
"right_sidebar": {
"title": "Security Management",
"position": "right",
"count": 6,
"items": [
"SSO / RBAC",
"Keys and Secrets",
"Strategy Guardrails",
"Human Approval",
"Audit Compliance",
"Data Isolation"
]
},
"connectors": "The double-headed blue arrows connecting the sidebars to each central layer, and the vertical arrows between the architectural layers."
},
"visual_details": {
"icons": "Each box contains a simple blue line icon, one icon per module.",
"boxes": "White card with rounded corners against a light blue or light cyan background",
"section_colors": {
"layers_1_2_5_7": "light blue",
"layer_3": "Light purple",
"layer_4": "Light blue",
"layer_6": "Light green",
"sidebars": "Deep sapphire blue title bar, white text"
},
"typography": "Bold dark navy blue Chinese headings, smaller gray-blue subheadings, medium-weight Chinese section labels, and compact bilingual project labels."
},
"footer": {
"position": "bottom center",
"text": "{argument name=\"footer text\" default=\"Features: Cloud-native • Multi-tenant • Elastic scaling • Security and compliance • Human-machine collaboration • Task traceability • Support for multi-model and multi-agent collaboration\"}"
},
"quality": "Clear infographics, balanced layout, high readability; professional enterprise architecture diagrams suitable for Keynote, documents, and product marketing."
}Cómo usar
- Copia el prompt original completo, incluidos los parámetros.
- Adapta el tema, el texto y la composición a tus necesidades.
- Usa una herramienta externa compatible; comprueba el acceso y el resultado.
Antes de empezar
- Comprueba si necesita una imagen de referencia. La compatibilidad no demuestra qué modelo generó el ejemplo.
- Revisa nombres, cifras y textos; el resultado puede variar entre versiones del modelo.
