Bicep Diagram Generator

When to Use

• User has Bicep files (

  .bicep

  ) and wants to visualize the infrastructure
• User asks to "diagram my Bicep" or "visualize this Bicep infrastructure"
• User mentions Bicep or Azure Bicep
• User wants to see the architecture of their Bicep-deployed resources

How It Works

1. Parse Bicep Files: Identify resource declarations, modules, parameters, and outputs
2. Extract Relationships: Map dependencies, resource references, and module hierarchies
3. Generate Eraser DSL: Create Eraser DSL code from Bicep resources
4. Call Eraser API: Use

   /api/render/elements

   with

   diagramType: "cloud-architecture-diagram"

Instructions

1. Parse the Bicep
   • Identify all

     resource

     declarations (Microsoft.Compute/virtualMachines, etc.)
   • Extract

     module

     declarations and their configurations
   • Note

     param

     and

     output

     definitions
   • Identify

     var

     variables and their usage
2. Map Relationships
   • Track resource dependencies (e.g.,

     dependsOn

     or implicit dependencies)
   • Group resources by type (compute, networking, storage, etc.)
   • Identify VNets as containers for subnets and resources
   • Note Network Security Groups, Key Vaults, and other security resources
3. Generate Eraser DSL Convert Bicep resources to Eraser DSL:
   • CRITICAL: Label Formatting Rules
     • Labels MUST be on a single line - NEVER use newlines inside label attributes
     • Keep labels simple and readable - prefer separate labels over concatenating too much metadata
     • Format DSL with proper line breaks (one node/group per line, but labels stay on single lines)
     • If including metadata like CIDR blocks or VM sizes, include them in the same quoted label string:

       [label: "VNet 10.0.0.0/16"]

   Example:

   myVNet [label: "VNet 10.0.0.0/16"] {
     subnet1 [label: "Subnet 1"] {
       myVM [icon: azure-vm, label: "Virtual Machine"]
       gateway [icon: azure-app-gateway]
     }
     subnet2 [label: "Subnet 2"] {
       database [icon: azure-sql]
     }
   }
   storage [icon: azure-storage]
   myVNet -> myVM
   myVM -> database

4. Make the HTTP Request
   IMPORTANT: You MUST execute this curl command after generating the DSL. Never stop after generating DSL without making the API call.
   CRITICAL: In the

   X-Skill-Source

   header below, you MUST replace the value with your AI agent name:
   • If you are Claude (Anthropic), use:

     claude

   • If you are running in Cursor, use:

     cursor

   • If you are ChatGPT (OpenAI), use:

     chatgpt

   • If you are Gemini (Google), use:

     gemini

   • Otherwise, use your model/agent name in lowercase
   bash

   curl -X POST https://app.eraser.io/api/render/elements \
     -H "Content-Type: application/json" \
     -H "X-Skill-Source: eraser-skill" \
     -H "Authorization: Bearer ${ERASER_API_KEY}" \
     -d '{
       "elements": [{
         "type": "diagram",
         "id": "diagram-1",
         "code": "<your generated DSL>",
         "diagramType": "cloud-architecture-diagram"
       }],
       "scale": 2,
       "theme": "${ERASER_THEME:-dark}",
       "background": true
     }'

5. Track Sources During Analysis
   As you analyze Bicep files and resources to generate the diagram, track:
   • Internal files: Record each Bicep file path you read and what resources were extracted (e.g.,

     infra/main.bicep

     - VNet and subnet definitions,

     infra/sql.bicep

     - SQL Database configuration)
   • External references: Note any documentation, examples, or URLs consulted (e.g., Azure Bicep documentation, Azure architecture best practices)
   • Annotations: For each source, note what it contributed to the diagram
6. Handle the Response
   CRITICAL: Minimal Output Format
   Your response MUST always include these elements with clear headers:
   1. Diagram Preview: Display with a header

      ## Diagram
      ![{Title}]({imageUrl})

      Use the ACTUAL

      imageUrl

      from the API response.
   2. Editor Link: Display with a header

      ## Open in Eraser
      [Edit this diagram in the Eraser editor]({createEraserFileUrl})

      Use the ACTUAL URL from the API response.
   3. Sources section: Brief list of files/resources analyzed (if applicable)

      ## Sources
      - `path/to/file` - What was extracted

   4. Diagram Code section: The Eraser DSL in a code block with

      eraser

      language tag

      ## Diagram Code
      ```eraser
      {DSL code here}

      undefined

   5. Learn More link:

      You can learn more about Eraser at https://docs.eraser.io/docs/using-ai-agent-integrations

   Additional content rules:
   • If the user ONLY asked for a diagram, include NOTHING beyond the 5 elements above
   • If the user explicitly asked for more (e.g., "explain the architecture", "suggest improvements"), you may include that additional content
   • Never add unrequested sections like Overview, Security Considerations, Testing, etc.
   The default output should be SHORT. The diagram image speaks for itself.
7. Handle Modules
   • If modules are used, show module boundaries
   • Include module parameters and outputs
   • Show how modules connect to main resources

Bicep-Specific Tips

• Show Resource Groups: Bicep deployments target resource groups
• VNets as Containers: Show VNets containing subnets and resources
• Include Dependencies: Show

  dependsOn

  relationships
• Module Structure: If modules are used, show their boundaries
• Parameters: Note key parameters that affect resource configuration
• Use Azure Icons: Request Azure-specific styling

Example: Bicep with Parameters and Modules

User Input

@description('The name of the Virtual Network')
param vnetName string = 'myVNet'
@description('The address prefix for the VNet')
param vnetAddressPrefix string = '10.0.0.0/16'
@description('The address prefix for the subnet')
param subnetAddressPrefix string = '10.0.1.0/24'
@description('VM size')
param vmSize string = 'Standard_B1s'

// Main VNet resource
resource virtualNetwork 'Microsoft.Network/virtualNetworks@2021-05-01' = {
  name: vnetName
  location: resourceGroup().location
  properties: {
    addressSpace: {
      addressPrefixes: [vnetAddressPrefix]
    }
    subnets: [
      {
        name: 'subnet1'
        properties: {
          addressPrefix: subnetAddressPrefix
        }
      }
    ]
  }
}

// VM resource with dependsOn
resource virtualMachine 'Microsoft.Compute/virtualMachines@2021-11-01' = {
  name: 'myVM'
  location: resourceGroup().location
  properties: {
    hardwareProfile: {
      vmSize: vmSize
    }
  }
  dependsOn: [virtualNetwork]
}

// Module usage
module storageModule './modules/storage.bicep' = {
  name: 'storage'
  params: {
    location: resourceGroup().location
  }
}

Expected Behavior

1. Parses Bicep:
   • Parameters: vnetName, vnetAddressPrefix, subnetAddressPrefix, vmSize
   • Resources: VNet with subnet, VM with dependsOn relationship
   • Module: Storage module with parameters
2. Generates DSL showing Bicep-specific features:

   myVNet [label: "VNet 10.0.0.0/16"] {
     subnet1 [label: "Subnet 1 10.0.1.0/24"] {
       myVM [icon: azure-vm, label: "VM Standard_B1s"]
     }
   }
   
   storage-module [label: "Storage Module"] {
     storage-account [icon: azure-storage]
   }
   
   myVNet -> myVM

   Important: All label text must be on a single line within quotes. Bicep-specific: Show modules as containers, include

   dependsOn

   relationships, note parameter usage in resource configuration.
3. Calls

   /api/render/elements

   with

   diagramType: "cloud-architecture-diagram"

4. Calls

   /api/render/elements

   with

   diagramType: "cloud-architecture-diagram"

Result

• VNet as a container
• Subnet nested inside VNet
• VM in the subnet
• Dependency relationship shown
• Proper Azure styling