Resolved PromptFlow and Python integration issues

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Resolved PromptFlow and Python integration issues

  • Day: 2025-05-19
  • Time: 21:05 to 21:20
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Promptflow, Python, Debugging, Schema, Openai

Description

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

Pending Tasks

  • Further testing of the implemented fixes to ensure robustness across different scenarios.

Evidence

  • source_file=2025-05-19.sessions.jsonl, line_number=1, event_count=0, session_id=c73f1dac2fa7543ad738594aa0d7d816dee482ceabaf4fb12df983800e2a1583
  • event_ids: []

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