PromptVault is a prompt management platform designed to decouple prompt engineering from the software deployment cycle. Its primary function is to allow teams to edit, version, and deploy large language model prompts directly from a browser based dashboard without requiring code redeploys or engineering intervention. The tool centralizes the prompt lifecycle by providing a dedicated workspace where users can manage prompt bodies, model selections, and temperature settings while utilizing variables to maintain consistency across different environments. The platform includes a suite of features for version control and quality assurance. Every change made within the dashboard is saved as an immutable version, complete with author attribution and commit style messages. Users can manage prompts through a workflow that includes drafting, staging, and live production states. The system supports one click rollbacks to previous versions and provides an activity feed to audit all changes, integrations, and deletions. Additionally, an AI Evaluator tool is integrated into the workflow to review prompts for structural issues such as conflicting instructions, undeclared variables, or vague formatting before they are pushed to production. From a technical perspective, PromptVault functions as a management layer rather than an LLM gateway or proxy. It stores prompt text and metadata, which are delivered to the user's application via an API and cached at the edge for low latency. This architecture allows developers to continue using their own LLM clients while fetching the latest prompt versions dynamically. Access is managed through role based permissions where owners control API keys and integrations, while members handle the authoring and editing of prompts. This setup ensures that the same prompt ID can be used across staging and live environments to prevent configuration drift.