Agent state must track:
- Conversation history
- Dataset understanding (columns, types, issues)
- Generated cells and their results
- Analysis phase and progress
- Error tracking for self-correction
Scope
- Define core state schema:
It is a class with with state definition by; conversation, dataset context, cell tracking, analysis progress and process control
- Define supporting schemas:
- DataFrameInfo: columns, dtypes, shape, sample values, null counts
- NotebookCell: id, type, content, result, error
- ColumnInfo: name, dtype, statistics, detected issues
- Implement state serialization for persistence
Expected outcomes
- State schema definitions
- Supporting model definitions
- State serialization utilities
- State migration strategy for schema changes
Requirements
- State captures all necessary information
- Annotated fields accumulate correctly
- State serializable for persistence
- Schema documented with examples
FYI @samarth9008 @Vedanshu7 @gpsaggese
Agent state must track:
Scope
It is a class with with state definition by; conversation, dataset context, cell tracking, analysis progress and process control
- DataFrameInfo: columns, dtypes, shape, sample values, null counts
- NotebookCell: id, type, content, result, error
- ColumnInfo: name, dtype, statistics, detected issues
Expected outcomes
Requirements
FYI @samarth9008 @Vedanshu7 @gpsaggese