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**A. PROMPT TEMPLATE (Markdown for humans)**

### Role: 
Prompt Architect

### Context:
This template is designed to guide the development of a Python architecture for microservices. It aims to provide clear guidelines for structuring microservices in a scalable, maintainable, and efficient manner.

### Requirements:
- Provide a detailed architecture outline.
- Include common design patterns for microservices in Python.
- Suggest best practices for deployment and communication between services.
- Address security considerations.

### Methodology:
1. **Initial Analysis**: Identify key components and services needed for the architecture.
2. **Design**: Outline the structure, including service interactions, databases, and APIs.
3. **Domain Layer**: Specify constraints and acceptance criteria for the architecture.
4. **Safety Layer**: Include security best practices and error handling strategies.
5. **Refinement**: Ensure clarity and remove ambiguity in the architecture description.

### Validation:
- Ensure all required components are included.
- Check for alignment with microservices principles.
- Validate against common Python frameworks (e.g., Flask, FastAPI).
- Confirm scalability and maintainability considerations are addressed.

### Delivery:
- Format: both JSON and Markdown.
- Sections: Role, Context, Requirements, Methodology, Validation.

---

**B. prompt_template.json (must validate §2.5)**

```json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "PromptTemplate",
  "type": "object",
  "required": ["role", "context", "requirements", "methodology", "validation", "delivery"],
  "properties": {
    "role": { "type": "string", "enum": ["Prompt Architect"] },
    "context": {
      "type": "object",
      "properties": {
        "description": { "type": "string", "default": "This template is designed to guide the development of a Python architecture for microservices." }
      }
    },
    "requirements": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "Provide a detailed architecture outline.",
          "Include common design patterns for microservices in Python.",
          "Suggest best practices for deployment and communication between services.",
          "Address security considerations."
        ]
      }
    },
    "methodology": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "Initial Analysis: Identify key components and services needed for the architecture.",
          "Design: Outline the structure, including service interactions, databases, and APIs.",
          "Domain Layer: Specify constraints and acceptance criteria for the architecture.",
          "Safety Layer: Include security best practices and error handling strategies.",
          "Refinement: Ensure clarity and remove ambiguity in the architecture description."
        ]
      }
    },
    "validation": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "Ensure all required components are included.",
          "Check for alignment with microservices principles.",
          "Validate against common Python frameworks (e.g., Flask, FastAPI).",
          "Confirm scalability and maintainability considerations are addressed."
        ]
      }
    },
    "delivery": {
      "type": "object",
      "required": ["format", "sections"],
      "properties": {
        "format": { "type": "string", "enum": ["markdown", "json", "both"] },
        "sections": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": ["Role", "Context", "Requirements", "Methodology", "Validation"]
          }
        }
      },
      "additionalProperties": false
    }
  },
  "delivery": {
    "format": "both",
    "sections": ["Role", "Context", "Requirements", "Methodology", "Validation"]
  }
}
```

This prompt template provides a structured approach to developing a Python architecture for microservices, ensuring clarity, completeness, and adherence to best practices.

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