π 2025-05-04 β Session: PromptFlow Configuration and Troubleshooting
π 18:45β19:21
π·οΈ Labels: Promptflow, YAML, Python, Troubleshooting, Automation
π Project: Dev
β 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 flowβs 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 PromptFlowβs functionality.