v2.0.8

feat(charts): add interactive series filtering and intelligent grouping

- Add InteractiveChart component with click-to-isolate series functionality
- Implement legend-based series visibility toggling with state persistence
- Add intelligent time column detection (fallback to first Date instance)
- Introduce cardinality-based split dimension selection for auto-grouping
- Add MAX_COMBO_SERIES and MAX_SPLIT_CARDINALITY thresholds to prevent legend bloat
- Implement per-column and per-combo series building strategies
- Add triggerLineEvent option for line chart click interactions
- Update Dashboards, DataExplorer, and TimeseriesCharts views to use InteractiveChart
- Preserve series isolation state across dashboard refresh and chart type switches
- Improve chart readability by filtering out high-cardinality string columns from grouping

v2.0.7

feat(charts): add interactive series filtering and intelligent grouping

- Add InteractiveChart component with click-to-isolate series functionality
- Implement legend-based series visibility toggling with state persistence
- Add intelligent time column detection (fallback to first Date instance)
- Introduce cardinality-based split dimension selection for auto-grouping
- Add MAX_COMBO_SERIES and MAX_SPLIT_CARDINALITY thresholds to prevent legend bloat
- Implement per-column and per-combo series building strategies
- Add triggerLineEvent option for line chart click interactions
- Update Dashboards, DataExplorer, and TimeseriesCharts views to use InteractiveChart
- Preserve series isolation state across dashboard refresh and chart type switches
- Improve chart readability by filtering out high-cardinality string columns from grouping

v2.0.6

feat: 首次启动默认停留在系统概览并在概览内提供快速连接本地服务按钮

v2.0.5

feat: 首次启动默认停留在系统概览并在概览内提供快速连接本地服务按钮

v2.0.4

fix: improve error handling for connection/auth failures and quick-co…

v2.0.3

feat(data-management): add tiered storage and compaction management p…

v2.0.2

feat(cluster): add cluster management view with overview, nodes, and …

v2.0.1

feat(mcp-integration): add MCP server support with chat tool calls

- Add MCP manager and client utilities for server connection lifecycle
- Implement McpServerCard component for server configuration and management
- Add tool call tracking in chat messages with status and result display
- Enhance markdown rendering with table support and proper formatting
- Add chat auto-scroll hook for improved UX in message streams
- Integrate MCP connection restoration on app startup
- Update internationalization strings for UI consistency
- Improve AI message styling for tool calls, tables, and markdown content

v2.0.0

feat: add AI query panel with markdown rendering and SQL diff view

- Add AiMessage and AiQueryPanel components for AI-powered query assistance
- Add SlideOutPanel component for collapsible side panel UI
- Add SqlDiffView component for displaying SQL query differences
- Add useDebounce, usePolling, and useResizeObserver custom hooks
- Add utility functions for clipboard operations, debouncing, feature detection, and ID generation
- Add ApplicationLogs view for displaying application-level logs
- Add @codemirror/merge for SQL diff visualization
- Add react-markdown and remark-gfm for markdown content rendering in AI responses
- Update sidebar and various view components to integrate AI query capabilities
- Update ServerContext to support AI query features
- Update useApiFetch hook with enhanced functionality
- Update i18n translations for new AI features
- Enhance styling for new components and views
- Update .gitignore to exclude AI development tool directories (.kiro/, .codebuddy/)

v1.6.9

feat(ai-integrations): add model fetching and update default models

- Add "Fetch Models" functionality to dynamically retrieve available models from AI providers
- Add internationalization strings for fetch models UI and error handling (en-US and zh-CN)
- Update default model IDs to latest versions across all providers (OpenAI, Qwen, DeepSeek, etc.)
- Add model combobox component with dropdown UI, styling, and interactions
- Implement model dropdown with search, selection, and clear functionality
- Add error handling for various HTTP status codes (401, 403, 404, 408, 429) and network errors
- Add spinning animation and UI states for loading during model fetch operations
- Improve user experience by allowing automatic model discovery instead of manual entry