ai-data-science-team 0.0.0.9005

New Agents

• SQL Database Agent: Queries SQL databases from Natural Language, automates pipelines as import-ready python functions, and makes it easy to integrate SQL agents into Streamlit apps
• New Tutorial: https://github.com/business-science/ai-data-science-team/blob/master/examples/sql_database_agent.ipynb

Enhancements

• Dynamically Bypass Long-Running Steps: This is important if speed is critical. Planning steps (e.g. recommend steps for coding agent, explaining code step) can be bypassed to reduce LLM calls and speed up operations.

ai-data-science-team 0.0.0.9004

New Agent:

• Data Wrangling Agent - Handles multiple datasets, merges, joins, and prepares data for analysis
• New Example: How to automate data wrangling with AI

Full Changelog: 0.0.0.9003...0.0.0.9004

ai-data-science-team 0.0.0.9003

Major Changes:

• Agents now have human-in-the-loop capabilities
• New Example: Human-in-the-loop

Minor Change:

• Refactor codebase to use agent templates

Full Changelog: 0.0.0.9002...0.0.0.9003

ai-data-science-team 0.0.0.9002

Added a Feature Engineering Agent

ai-data-science-team 0.0.0.9000

Initial release:

• Data Cleaning Agent