📅 2025-04-13 — Session: Structured JSON Schemas and Query Handling Updates
🕒 20:50–21:35
🏷️ Labels: JSON, Schemas, Automation, Python, Openai, Async
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session focused on enhancing the automation and interoperability of AI systems through structured JSON schemas and improving Python scripts for handling asynchronous queries and data processing.
Key Activities
- Defined JSON schemas for component plans and generated components to support automation in AI systems.
- Designed batch schemas for agent-based code generation, enabling improved performance by handling multiple components per script.
- Corrected JSON schemas for component plans to ensure valid JSON structures.
- Developed prompts for ReviewParserAgent and ComponentWriterAgent to facilitate the generation of ComponentPlans and executable code.
- Refactored the
query_openai()function to handle dynamic fields asynchronously, enhancing flexibility in data processing. - Troubleshot and resolved issues with Pandas
to_dict()method, ensuring proper DataFrame handling. - Updated OpenAI query functions to transition from string lists to structured records, accommodating multiple fields in input data.
Achievements
- Established a framework for defining and utilizing structured JSON schemas in AI systems.
- Improved the efficiency and flexibility of Python scripts for asynchronous data processing.
Pending Tasks
- Further testing and validation of the updated query functions and JSON schemas in a live environment.
Outcome
The session successfully laid the groundwork for more robust and scalable AI systems through structured data handling and improved code efficiency.