📅 2025-05-19 — Session: Resolved PromptFlow and Python API Issues
🕒 21:05–21:20
🏷️ Labels: Promptflow, Python, Debugging, Schema, Function Calls
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to troubleshoot and resolve various issues related to PromptFlow schema updates and Python API function calls.
Key Activities
- Troubleshooting PromptFlow Schema Updates: Addressed issues with PromptFlow not reflecting schema and prompt updates by validating, clearing caches, ensuring schema consistency, updating component scripts, and restarting the flow.
- Diagnosis and Fix for PromptFlow Function Call Issue: Diagnosed and fixed a problem where the PromptFlow function call was not triggered properly, involving adjustments to the flow definition and schema loading.
- Fixing Extraction Issue in Python LLM Wrapper: Modified code to correctly extract tool call arguments from OpenAI API responses, fixing errors related to missing attributes.
- Implementation of Robust Handler for Function Calls: Developed a handler to support both legacy and modern function call responses in Python, ensuring backward compatibility and error handling.
- Diagnosing LLM Output Issues with New Schema Fields: Analyzed and fixed an LLM output problem where new schema fields were missing, by explicitly prompting for these fields in the template.
- Debugging Schema Mismatch in OpenAI Function Calls: Troubleshot OpenAI function calling issues related to schema mismatches, providing strategies for verifying schema integrity.
Achievements
Successfully resolved multiple issues across PromptFlow and Python API integrations, improving the reliability of schema updates and function calls.
Pending Tasks
No pending tasks were identified; all issues addressed during the session were resolved.