Migration Guide: Pandas Toolkit to Data Analysis Internal Tool v2.0.0 B2
Starting with release 2.0.0 B2, existing Pandas toolkits are disabled and no longer functional. Users must migrate to the Data Analysis internal tool available
Starting with release 2.0.0 B2, existing Pandas toolkits are disabled and no longer functional. Users must migrate to the Data Analysis internal tool available in chat conversations and agents.
This guide provides step-by-step instructions for migrating from the deprecated Pandas toolkit to the new Data Analysis internal tool in ELITEA version 2.0.0 B2. The Pandas toolkit has been replaced by a more streamlined internal tool that provides the same data analysis capabilities without requiring separate toolkit configuration.
The Data Analysis internal tool represents a fundamental shift in how data analysis is performed in ELITEA. Instead of requiring separate toolkit creation and configuration, data analysis is now available directly in both chat conversations and agent configurations.Previous Workflow (Pandas Toolkit)Required multiple steps:
Create a separate Pandas toolkit in the Toolkits section
Configure bucket/file paths and settings
Add the toolkit to specific conversations or agent
Use technical Pandas syntax in conversations
Example usage:
Agent with Pandas toolkit: "Analyze sales_data.csv and show summary statistics"
New Workflow (Data Analysis Internal Tool)Direct usage without setup:
Enable Data Analysis in chat conversations or agent configurations (Steps 1-2 above)
Upload data files directly to conversations
Use natural language queries for analysis
Example usage in Chat:
Upload sales_data.csv to conversation, then ask:"Show summary statistics for sales_data.csv and the top 5 rows"
Example usage in Agent:
Agent with Data Analysis enabled: "Analyze the uploaded sales data and create a summary report"
Benefits of the New Approach:
Simplified Setup: No toolkit creation or configuration required
Universal Access: Available in any conversation or agent with one toggle
Natural Interaction: Use plain English instead of technical commands
Dynamic Data: Work with any uploaded file without pre-configuration
Automatic Processing: File format detection and intelligent analysis
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