📅 2025-05-10 — Session: Resolved API and Pipeline Errors in OpenAI Integration
🕒 19:20–19:45
🏷️ Labels: Openai, API, Debugging, Pipeline, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to address multiple technical issues, including pipeline crashes due to missing files and API errors in OpenAI integrations.
Key Activities
- Implemented error handling in a Python data pipeline to prevent crashes when files are missing by normalizing outputs and handling unexpected statuses.
- Diagnosed and resolved an OpenAI API error in PromptFlow related to the ‘parsed_message’ function call.
- Explored potential causes for function call failures in the OpenAI SDK and developed debugging strategies.
- Systematically approached API integration errors, focusing on ensuring correct schema loading.
- Addressed ‘Invalid value for function_call’ errors in PromptFlow by examining schema path and execution context.
Achievements
- Successfully refactored the pipeline to handle missing files gracefully.
- Resolved API errors in PromptFlow and OpenAI SDK, enhancing the reliability of function calls.
Pending Tasks
- Further testing of the refactored pipeline and API integrations to ensure robustness.