📅 2023-12-28 — Session: Developed Scripts for OpenAI API and Token Management
🕒 15:05–15:40
🏷️ Labels: Openai Api, Python Scripting, Token Management, Legislative Analysis
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and refine scripts for processing data using the OpenAI API, focusing on Jupyter notebooks and legislative texts, while managing token limits effectively.
Key Activities
- Script Development: Created a script for processing Jupyter notebooks with the OpenAI API, addressing notebook selection, prompt generation, API calls, error handling, and testing.
- Legislative Text Processing: Developed a Python script to process legislative texts using the OpenAI API, including dynamic prompt integration for consistent output.
- Token Management: Explored methods for calculating and managing token usage in API requests, including strategies for handling long text segments and understanding token limits.
Achievements
- Successfully developed scripts for both Jupyter notebook processing and legislative text analysis.
- Implemented dynamic prompt integration and error handling in scripts.
- Gained insights into token calculation and management, ensuring compliance with API limits.
Pending Tasks
- Further testing and optimization of scripts for efficiency and accuracy.
- Explore additional strategies for managing token limits in complex API requests.