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, archiving 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 server startup.
Match a user's query to the appropriate prompt template.
Apply the selected template to the matched query.
Validate enhanced queries to ensure they are correct.
Process a natural language query via the client.
List all available prompts for user selection.
Display detailed information about the prompt matching process.
