📅 2025-05-19 — Session: Resolved PromptFlow and Python integration issues
🕒 21:05–21:20
🏷️ Labels: Promptflow, Python, Debugging, Schema, Openai
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to troubleshoot and resolve issues related to PromptFlow schema updates and Python integration for function calls.
Key Activities
- Troubleshooting PromptFlow Schema Updates: Steps were outlined to resolve issues with PromptFlow not reflecting schema and prompt updates, including validation, clearing caches, ensuring schema consistency, updating component scripts, and restarting the flow.
- Diagnosis and Fix for PromptFlow Function Call Issue: Diagnosed a PromptFlow issue where the function call was not being triggered properly. Steps included adjusting the flow definition and ensuring the schema was loaded correctly.
- Fixing Extraction Issue in Python LLM Wrapper: Modified code to correctly extract tool call arguments from the OpenAI API response, addressing a common error related to missing attributes.
- Implementation of Robust Handler for Function Calls: Implemented a robust handler that supports both legacy and modern function call responses in a Python application, ensuring backward compatibility and safe error handling.
- Diagnosing LLM Output Issues with New Schema Fields: Diagnosed an LLM’s output problem where new schema fields were not being included in the response, providing a fix involving explicit prompting for the new fields.
- Debugging Schema Mismatch in OpenAI Function Calls: Outlined steps to troubleshoot issues with OpenAI function calling, specifically regarding schema validation and missing fields.
Achievements
- Successfully resolved multiple issues related to PromptFlow and Python integration.
- Improved schema validation and function call handling in both PromptFlow and Python components.
Pending Tasks
- Further testing of the implemented fixes to ensure robustness across different scenarios.