PromptLab
Summary
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.
Available Actions(11)
register_prompt
Register a new prompt or version in MLflow.
update_prompt
Update an existing prompt, archiving the previous production version.
list_prompts
List all registered prompts in MLflow.
register_from_file
Register multiple prompts from a JSON file.
register_sample_prompts
Initialize the system with standard sample prompts.
load_all_prompts
Load all available prompts from MLflow at server startup.
match_prompt
Match user queries to the most appropriate prompt templates.
enhance_query
Apply the selected prompt template to the user's query.
validate_query
Validate the enhanced queries to ensure they meet requirements.
process_query
Process a user query to generate an enhanced prompt response.
list_available_prompts
List all prompts available for user selection.
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