📅 2025-04-17 — Session: Enhanced Prompty and FastAPI integration for improved UX
🕒 10:30–11:30
🏷️ Labels: Prompty, Fastapi, Debugging, Ai Agents, Prompt Engineering
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the integration of Prompty with FastAPI, focusing on improving flexibility, debugging capabilities, and overall user experience.
Key Activities
- Reverse Engineering: Explored strategies for integrating Prompty files with FastAPI, ensuring compatibility and effective execution.
- Critical Analysis: Evaluated the PromptBlock architecture, identifying strengths and areas for improvement, such as reducing complexity and enhancing modularity.
- AI-Driven UX Transformation: Discussed the potential of AI agents to automate YAML and .prompty file management, enhancing architecture and user experience.
- Endpoint Enhancement: Improved the Prompty endpoint with better error handling and customizable parameters, providing a code example for future extensions.
- Debugging Techniques: Addressed issues with JSON handling in LLM blocks and YAML flow, using humor and collaboration to resolve problems.
Achievements
- Successfully confirmed the functionality of the Prompty endpoint, ensuring reliable operation and setting the stage for future development.
- Developed a boilerplate for a translation tool, leveraging AI for efficient text processing.
Pending Tasks
- Further exploration of advanced probing techniques for API-linked prompts to enhance modular design.
- Continued refinement of JSON handling and serialization to ensure clean data flow and prevent trace pollution.
Insights
The session provided valuable insights into the integration of AI-driven tools with existing architectures, highlighting the importance of modular design and effective debugging strategies.