Debugging and Architectural Planning for PromptFlow

📅 2025-07-13 — Session: Debugging and Architectural Planning for PromptFlow

🕒 20:50–21:50
🏷️ Labels: Promptflow, Streamlit, Debugging, Architecture, Deployment
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to address various debugging and architectural challenges related to the integration of PromptFlow within Streamlit applications.

Debugging PromptFlow in Streamlit: Explored structured approaches to troubleshoot PromptFlow integration issues, focusing on environment configuration and debugging loops.
Tradeoffs of Installing promptflow-tools: Evaluated different installation strategies for promptflow-tools in Streamlit, weighing quick installation against sustainable practices.
Version Management: Provided recommendations for version pairing of promptflow and promptflow-tools to ensure compatibility and security.
Surgical Debugging: Developed a systematic plan for resolving import issues and debugging PromptFlow within Python environments.
Live Environment Diagnostics: Implemented diagnostics for Streamlit applications to ensure proper environment setup.
Architectural Recommendations: Outlined strategies for a public demo using Streamlit and PromptFlow, considering Docker-based solutions for environment reliability.
Standardizing App Architecture: Worked on standardizing the architecture of the jobserp_explorer app to ensure compatibility across different environments.

Developed comprehensive debugging plans for PromptFlow import issues.
Established architectural strategies for deploying Streamlit applications with PromptFlow.
Identified key installation and version management practices for promptflow-tools.

Further exploration of environment isolation techniques for Streamlit deployments.
Implementation of Docker-based solutions for public demos.
Finalization of the jobserp_explorer app architecture for seamless deployment.