📅 2025-04-13 — Session: Refactored JSON Schemas and Query Functions for AI Agents
🕒 20:45–21:35
🏷️ Labels: Json Schemas, Ai Agents, Python, Openai, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to refine JSON schemas and update query functions to enhance automation and interoperability in AI systems.
Key Activities
- Defined structured JSON schemas for component plans and generated components, focusing on automation and interoperability.
- Designed batch schemas for agent-based code generation to improve performance and complexity management.
- Corrected JSON schema syntax for component plans to ensure valid structure.
- Developed prompt designs for ReviewParserAgent and ComponentWriterAgent to facilitate script-to-code transformation.
- Refactored the
query_openai()function for handling dynamic text fields asynchronously, enhancing efficiency. - Troubleshot issues with Pandas
to_dict()method, ensuring proper DataFrame handling. - Updated OpenAI query functions to transition from string lists to records, improving data processing.
Achievements
- Successfully defined and corrected JSON schemas for component plans and batch processing.
- Improved prompt designs for AI agents, enhancing their code generation capabilities.
- Enhanced the flexibility and efficiency of asynchronous query handling in Python.
Pending Tasks
- Further testing of updated query functions to ensure robustness in various data scenarios.
- Continued refinement of agent prompts for more complex use cases.