# Feature Specification: PostgreSQL Prompt Registry

**Feature Branch**: `001-to-the-postgres`  
**Created**: 2025-09-06  
**Status**: Draft  
**Input**: User description: "To the Postgres extension, I want to add a prompt registry that is very lightweight and easy to use. The goal is to have a simple registry table that tracks jinja-based prompts, multiple versions, and provides nifty functions for rendering them. Keeping it very, very lightweight and simple."

## Execution Flow (main)
```
1. Parse user description from Input
   → If empty: ERROR "No feature description provided"
2. Extract key concepts from description
   → Identify: actors, actions, data, constraints
3. For each unclear aspect:
   → Mark with [NEEDS CLARIFICATION: specific question]
4. Fill User Scenarios & Testing section
   → If no clear user flow: ERROR "Cannot determine user scenarios"
5. Generate Functional Requirements
   → Each requirement must be testable
   → Mark ambiguous requirements
6. Identify Key Entities (if data involved)
7. Run Review Checklist
   → If any [NEEDS CLARIFICATION]: WARN "Spec has uncertainties"
   → If implementation details found: ERROR "Remove tech details"
8. Return: SUCCESS (spec ready for planning)
```

---

## ⚡ Quick Guidelines
- ✅ Focus on WHAT users need and WHY
- ❌ Avoid HOW to implement (no tech stack, APIs, code structure)
- 👥 Written for business stakeholders, not developers

### Section Requirements
- **Mandatory sections**: Must be completed for every feature
- **Optional sections**: Include only when relevant to the feature
- When a section doesn't apply, remove it entirely (don't leave as "N/A")

### For AI Generation
When creating this spec from a user prompt:
1. **Mark all ambiguities**: Use [NEEDS CLARIFICATION: specific question] for any assumption you'd need to make
2. **Don't guess**: If the prompt doesn't specify something (e.g., "login system" without auth method), mark it
3. **Think like a tester**: Every vague requirement should fail the "testable and unambiguous" checklist item
4. **Common underspecified areas**:
   - User types and permissions
   - Data retention/deletion policies  
   - Performance targets and scale
   - Error handling behaviors
   - Integration requirements
   - Security/compliance needs

---

## User Scenarios & Testing *(mandatory)*

### Primary User Story
As a database administrator or application developer, I need to store, version, and render text prompts with variable substitution so that I can manage prompt templates centrally within the database and generate customized text dynamically for AI/LLM interactions or other templating needs.

### Acceptance Scenarios
1. **Given** a database with the prompt registry extension installed, **When** I create a new prompt template with variables, **Then** the system stores it with a unique identifier and version number
2. **Given** an existing prompt template with variables, **When** I render it with specific variable values, **Then** the system returns the fully rendered text with all variables replaced
3. **Given** a prompt template with multiple versions, **When** I query for a specific version, **Then** the system returns the correct version of the template
4. **Given** a prompt template identifier, **When** I create a new version with updated content, **Then** the system preserves the old version and creates a new version with an incremented version number
5. **Given** a prompt template with missing required variables during rendering, **When** I attempt to render it, **Then** the system returns an error indicating which variables are missing

### Edge Cases
- What happens when rendering a prompt with undefined variables? [NEEDS CLARIFICATION: should undefined variables be left as-is, replaced with empty string, or raise an error?]
- How does system handle concurrent version creation for the same prompt?
- What happens when trying to render a non-existent prompt or version?
- How does the system handle malformed template syntax?
- What is the maximum size limit for prompt templates? [NEEDS CLARIFICATION: character limit for templates?]

## Requirements *(mandatory)*

### Functional Requirements
- **FR-001**: System MUST allow users to create named prompt templates with variable placeholders
- **FR-002**: System MUST automatically version prompt templates when they are modified
- **FR-003**: System MUST provide a function to render templates by substituting variables with provided values
- **FR-004**: System MUST allow retrieval of specific versions of a prompt template
- **FR-005**: System MUST maintain a history of all prompt versions without deletion
- **FR-006**: System MUST validate template syntax when creating or updating prompts
- **FR-007**: System MUST provide a function to list all available prompts and their versions
- **FR-008**: System MUST support metadata for prompts (description, created date, author) [NEEDS CLARIFICATION: which metadata fields are required?]
- **FR-009**: Users MUST be able to retrieve the latest version of a prompt by default
- **FR-010**: System MUST handle template variables in a format compatible with common templating standards
- **FR-011**: System MUST provide functions that are simple to use with minimal parameters for common operations
- **FR-012**: System MUST maintain referential integrity for prompt versions [NEEDS CLARIFICATION: can old versions be deleted or are they immutable?]
- **FR-013**: System MUST support prompt categorization or tagging [NEEDS CLARIFICATION: is organization/grouping of prompts needed?]

### Key Entities *(include if feature involves data)*
- **Prompt Template**: A reusable text template with variable placeholders, having a unique name/identifier, content body, and metadata
- **Prompt Version**: A specific iteration of a prompt template, with version number, creation timestamp, and possibly author information
- **Template Variable**: A placeholder within the template that can be replaced with actual values during rendering
- **Rendering Context**: The set of variable name-value pairs used to render a template into final text

---

## Review & Acceptance Checklist
*GATE: Automated checks run during main() execution*

### Content Quality
- [x] No implementation details (languages, frameworks, APIs)
- [x] Focused on user value and business needs
- [x] Written for non-technical stakeholders
- [x] All mandatory sections completed

### Requirement Completeness
- [ ] No [NEEDS CLARIFICATION] markers remain
- [x] Requirements are testable and unambiguous  
- [x] Success criteria are measurable
- [x] Scope is clearly bounded
- [x] Dependencies and assumptions identified

---

## Execution Status
*Updated by main() during processing*

- [x] User description parsed
- [x] Key concepts extracted
- [x] Ambiguities marked
- [x] User scenarios defined
- [x] Requirements generated
- [x] Entities identified
- [ ] Review checklist passed (has clarifications needed)

---