The Frontend uses the SvelteKit UI component framework. The Frontend uses SvelteKit framework for UI components and routing. The frontend /ask-stream switch is implemented in the SvelteKit Framework to provide streaming UI experience and progress states. The Frontend UI Translation use case uses SvelteKit i18n plugin to provide UI translations. The Frontend uses SvelteKit as a third-party component. DataLens Agent Mode frontend is built using SvelteKit framework, supporting real-time streaming UI. Home page is implemented as a SvelteKit page. login page is implemented as a SvelteKit page. projects page is implemented as a SvelteKit page. project details page is implemented as a SvelteKit page. project agent page is implemented as a SvelteKit page. project analyze page is implemented as a SvelteKit page. project workflow page is implemented as a SvelteKit page. new project page is implemented as a SvelteKit page. projects page is built using the SvelteKit framework. projects > :id page is built using the SvelteKit framework. projects > :id > agent page is built using the SvelteKit framework. projects > :id > analyze page is built using the SvelteKit framework. projects > :id > workflow page is built using the SvelteKit framework. projects > new page is built using the SvelteKit framework. The projects > :id > analyze page is implemented as a SvelteKit page.

The Frontend catalog dashboard is planned to be implemented as a SvelteKit frontend page for user interaction. DataLens Platform plans to use the SvelteKit frontend framework for user interface development, though it is not yet built. The SvelteKit frontend communicates with the FastAPI backend via API endpoints. The SvelteKit frontend provides its own production-ready Dockerfile for deployment. The Analysis View page is part of the SvelteKit frontend. DataLens Project includes SvelteKit frontend that implements the complete user interface and UX flows.

The Frontend uses Tailwind for styling. The DiscoveryFlow component uses Tailwind CSS for styling and responsive design.

DataLens Skill implements a Telegram bot for interaction. Telegram bot operates on the Telegram platform. DataLens Skill capability includes integration of a Telegram bot for file upload and user interaction. The DataLens Orchestrator uses Telegram UI as the front-end communication channel for users. DataLens Skill involves building a Telegram bot for user interaction.

text_to_sql.py is changed to generate PostgreSQL-compatible SQL instead of DuckDB SQL by modifying the prompt to specify PostgreSQL dialect. The text_to_sql.py prompt and code were modified to generate PostgreSQL-specific SQL compatible with PgDataService. The backend code file text_to_sql.py uses SQLCoder-7B as the default model for Text-to-SQL queries.

The Frontend Components include the TrendChart.svelte UI component which renders SVG line charts with grid. The TrendChart.svelte UI component is part of the Full Findings Visualization Layer and provides SVG line charts with grid. The TrendChart.svelte UI component is part of the Full Findings Visualization Layer and provides SVG line charts with grid.

The Data Discovery feature includes UI components. The UI components depend on the Discovery backend service to function correctly.

UI components for discovery and consolidation review have been developed with responsive design. Frontend UI Components implement the user interface elements for editing and displaying the scope as the Project Goal.

UI audit tools are used within the DataLens platform backend. The DataLens platform backend includes the ui-audit skill. The DataLens platform backend integrates the ui-audit skill.

The Unified analysis page implements the unified question interface providing a combined SQL and semantic query experience. The Unified analysis page uses the Question router for classification badges and query routing. The unified analysis page is validated by the analysis.spec.ts frontend test case.

The unified question interface is implemented as part of the DataLens platform.

The Visual Schema Relationship Mapper is a User Interface feature enabling users to visualize and customize schema relationships. The Schema Relationship Explorer Feature provides the User Interface components for schema visualizations and relationship management.

User Interface Components implement and use the User Schema Relationship Mapper to visualize table joins and relations for users. Visual Schema Relationship Mapper is part of the User Interface Components enabling visualization and relationship management.

User Interface Components implement and use the User Schema Relationship Mapper to visualize table joins and relations for users. Schema Relationship Explorer is an instance or feature of the User Schema Relationship Mapper used for data visualization.

Visual Schema Relationship Mapper is part of the User Interface Components enabling visualization and relationship management. The Visual Schema Relationship Mapper is a User Interface feature enabling users to visualize and customize schema relationships.