📅 2025-05-18 — Session: Developed and Tested JSONL File Generation and Session Summarization
🕒 04:20–05:00
🏷️ Labels: JSONL, Automation, Session Summarization, Python, Promptflow
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to automate the generation and testing of daily JSONL files from session data, and to enhance session summarization processes for AI models.
Key Activities
- Developed a Python script to organize session data into daily JSONL files, ensuring each line represents a session with preserved structure and metadata.
- Tested the generated JSONL files in PromptFlow, following a detailed command structure and sanity checklist.
- Corrected YAML syntax for PromptFlow, focusing on the classic YAML mapping style.
- Outlined guidelines for summarizing AI session logs, emphasizing strategic reflection and outcome articulation.
- Provided a comprehensive Jinja2 template for session summarization, focusing on cognitive compression and structured reflection.
- Detailed a JSON Schema to capture structured outputs from a session summarizer.
- Structured a JSON request for the task management API, ensuring session-derived content is incorporated.
- Resolved a schema name mismatch error in PromptFlow by identifying the root cause and implementing a fix.
- Built a flow for transforming structured session logs into actionable outputs, ensuring schema compliance and traceability.
Achievements
- Successfully automated the generation and testing of JSONL files.
- Enhanced the session summarization process with new templates and guidelines.
- Improved schema management and error resolution processes.
Pending Tasks
- Further testing of the JSONL file generation script in diverse environments.
- Continuous improvement of session summarization templates based on feedback.