Refactored JSON Schemas and Query Functions for AI Agents

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Refactored JSON Schemas and Query Functions for AI Agents

  • Day: 2025-04-13
  • Time: 20:45 to 21:35
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Json Schemas, Ai Agents, Python, Openai, Automation

Description

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.

Evidence

  • source_file=2025-04-13.sessions.jsonl, line_number=0, event_count=0, session_id=7c80eed1b7ebaf333b0fc4732b53f7f05fce39f114b588a00b2a125acf1b5bcb
  • event_ids: []

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