Release 12-30-2025

[eosho]

This pull request refactors and simplifies the configuration and documentation for the code execution and visualization features in the data agent project. The main change is the removal of the explicit code_interpreter configuration from YAML and schema files, making visualization always enabled and controlled solely by environment variables. Documentation is updated accordingly, and related code and schema are cleaned up. Additional improvements include a new script for generating diagrams and a new dependency for table formatting.

Configuration and Feature Simplification:

• Removed the code_interpreter section from agent YAML configuration, making visualization always enabled and executor selection automatic based on the AZURE_SESSIONS_POOL_ENDPOINT environment variable. (docs/CONFIGURATION.md, docs/VISUALIZATION.md, src/data_agent/config.py, src/data_agent/config_loader.py, src/data_agent/config/amex.yaml, src/data_agent/config/schema/agent_config.schema.json) [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13]

• Introduced VisualizationSettings in config.py to encapsulate visualization-related environment configuration, replacing the previous CodeInterpreterConfig dataclass. (src/data_agent/config.py)

Documentation and Usability Improvements:

• Updated documentation to clarify that visualization is always enabled, executor selection is automatic, and no YAML configuration is required. The Azure setup guide is now more concise and refers to the official tutorial. (docs/CONFIGURATION.md, docs/VISUALIZATION.md, README.md) [1] [2] [3] [4] [5] [6] [7] [8] [9]

• Replaced the ASCII diagram in the visualization documentation with a Mermaid sequence diagram for improved clarity. (docs/VISUALIZATION.md)

Developer Experience and Tooling:

• Added a script (scripts/generate_diagrams.py) to generate flow diagrams for documentation using LangGraph visualization. (scripts/generate_diagrams.py)

• Added the tabulate library as a dependency for improved table formatting. (pyproject.toml)

Codebase Cleanup:

• Refactored the executors module and removed outdated comments and references to the old configuration mechanism. (src/data_agent/executors/__init__.py)

These changes streamline the setup and usage of the visualization feature, reduce configuration complexity, and improve the clarity and maintainability of both the codebase and documentation.