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Overview#
The Prompt domain provides a Prompt Management System for creating, versioning, testing, and monitoring AI prompts. It supports prompt templates with variables, version history tracking, performance metrics, and model requirements specification for standardized prompt engineering across the platform.
Key Features#
- Prompt CRUD operations with categorization and active/inactive status management
- Template system with variable placeholders, validation, and rendering
- Version control with sequential version numbers, comparison, and rollback capability
- Performance tracking including test count, success rate, response time, token usage, and cost
- Model requirements specification for LLM constraints (tokens, temperature)
- Organization-scoped prompt management with custom metadata
- Prompt testing with variable injection and validation error reporting
- Category-based organization for analysis, summarization, extraction, classification, and generation prompts
Use Cases#
- Managing and versioning AI prompts used across investigation and analysis workflows
- Testing prompt templates with different variables and model configurations before deployment
- Tracking prompt performance metrics to optimize cost and accuracy over time
- Standardizing prompt engineering practices across teams with shared templates
Integration#
The Prompt domain connects with LLM integration services, AI provider registries, intelligence analysis, and AI assistant systems.
Last Reviewed: 2026-02-05