Resolved YAML Output Structure and Debugging Issues

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📅 2025-05-18 — Session: Resolved YAML Output Structure and Debugging Issues

🕒 05:05–05:30
🏷️ Labels: Yaml, Debugging, Automation, Configuration, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to resolve issues related to YAML configuration, specifically focusing on the flow.dag.yaml file’s output structure and debugging related to LLM calls and schema validation.

Key Activities

  • Fixing Output Structure: Corrected the output structure in flow.dag.yaml, ensuring the summary field is accurately referenced from llm_node.result.
  • Troubleshooting Output Aliasing: Analyzed and provided solutions for output aliasing in YAML configurations, offering options to maintain or simplify the structure.
  • Comparative Diagnosis: Conducted a detailed analysis of working and non-working configurations in flow.dag.yaml, identifying issues and recommending fixes.
  • Revised Jinja2 Prompt: Developed a structured Jinja2 prompt for cognitive analysis agents to summarize GPT activity logs.
  • Debugging LLM Call: Systematically debugged and validated LLM calls within a function schema context, including schema testing and prompt verification.
  • Debugging Print Output: Addressed issues with print() statements not appearing in console during PromptFlow runs, suggesting alternatives like logging to a file.

Achievements

  • Successfully resolved YAML output structure issues and improved debugging processes for LLM calls and schema validation.

Pending Tasks

  • Further testing of the simplified YAML structure in different environments to ensure robustness.
  • Continuous monitoring and adjustment of debugging strategies in PromptFlow.

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