πŸ“… 2025-05-04 β€” Session: PromptFlow Configuration and Troubleshooting

πŸ•’ 18:45–19:21
🏷️ Labels: Promptflow, YAML, Python, Troubleshooting, Automation
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to refine and troubleshoot various aspects of PromptFlow configurations and ensure seamless operation of GPT runs.

Key Activities

  • Exported a Pandas DataFrame to a JSONL file format compatible with PromptFlow.
  • Developed a minimal PromptFlow DAG for chat screening, detailing inputs, outputs, and nodes.
  • Refined the identity block for a PromptFlow assistant, focusing on its role and design principles.
  • Addressed ModuleNotFoundError for PromptFlow by ensuring proper use of virtual environments.
  • Installed the slugify package in a Python virtual environment to resolve dependency issues.
  • Fixed errors related to the filter_prompt node in PromptFlow.
  • Finalized and updated the YAML configuration files for GPT runs, ensuring data file references and column mappings are correct.
  • Conducted a consistency check between YAML and JSON files, identifying and recommending adjustments for type mismatches.
  • Resolved installation errors for promptflow.tools by verifying package installation.

Achievements

  • Successfully exported data to JSONL and configured PromptFlow DAGs.
  • Resolved multiple configuration and dependency errors, ensuring smooth operation of PromptFlow.
  • Finalized YAML configurations for GPT runs.

Pending Tasks

  • Further validation of the flow’s inputs and consistency checks may be required to ensure long-term stability.

Conclusion

The session was productive, addressing key issues and refining configurations to enhance PromptFlow’s functionality.