Debugging and Standardizing Streamlit with PromptFlow

2 min read

📅 2025-07-13 — Session: Debugging and Standardizing Streamlit with PromptFlow

🕒 20:50–21:55
🏷️ Labels: Streamlit, Promptflow, Debugging, Architecture, Python, Deployment
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to debug and standardize the architecture of a Streamlit app, jobserp_explorer, focusing on the integration and execution of PromptFlow tools.

Key Activities

  • Debugging Streamlit with PromptFlow: Addressed issues with PromptFlow integration in a Streamlit application, including environment checks and troubleshooting steps.
  • Tradeoffs of Installing promptflow-tools: Evaluated the pros and cons of installing promptflow-tools directly in a Streamlit app, focusing on dependency management.
  • Version Management: Recommended version pairing for promptflow and promptflow-tools to ensure compatibility and security.
  • Diagnosing Import Errors: Developed a checklist for resolving import errors related to PromptFlow, including environment setup and code structure adjustments.
  • Architectural Recommendations: Provided architectural options for a public demo of a Streamlit app using PromptFlow, emphasizing environment design.
  • Standardizing Architecture for jobserp_explorer: Focused on creating a robust and portable design for the app, eliminating hardcoded assumptions.

Achievements

  • Identified and resolved several issues related to PromptFlow integration in Streamlit.
  • Established a clean architecture and deployment strategy for jobserp_explorer.
  • Improved understanding of dependency management and environment setup for Python applications.

Pending Tasks

  • Further testing and validation of the new architecture and deployment strategy in different environments.
  • Continuous monitoring and adjustment of dependency versions to align with best practices.

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