PromptLab transforms basic user queries into optimized prompts for AI systems by automatically detecting content type and applying tailored templates from a YAML-based system. The server implementation uses FastMCP to expose specialized tools for generating enhanced prompts across four categories: essays, emails, technical explanations, and creative writing. With its modular architecture, PromptLab enables non-technical users to create and manage prompt templates, ultimately producing higher-quality AI responses through better-structured inputs.
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Highlight AIRegister a new prompt or version in MLflow.
Update an existing prompt and archive the previous production version.
List all registered prompts in MLflow.
Register multiple prompts from a JSON file.
Initialize the system with standard sample prompts.
Load all available prompts from MLflow at startup.
Match user queries to the most appropriate prompt templates.
Apply the selected template to enhance the user query.
Validate the enhanced queries to ensure they meet requirements.
Process a user query using the enhanced prompts.
List available prompts for the user.
Display detailed information about the prompt matching process.
