Changelog

Introduces GroupedAggregateQuery, AggregateSeriesResult, and GroupedAggregateResult

records to the SDK dataset models. Adds AggregateGroupedAsync method to both

IDatasetService and IDataObjectProvider interfaces, enabling plugins to request

multi-series chart data where a group_column produces separate value series sharing

a common x-axis. Bumps SDK version from 1.53.0 to 1.54.0.

Shell-side orchestrator that receives DatasetInsightRequestMessage from the

Data plugin, calls AiService.CompleteAsync with a structured analysis prompt,

parses the response into sections, and saves results as Notes pages under a

"Duncan Generated Data Insights" parent page with table of contents.

New files:

• DatasetInsightOrchestrator.cs: Message handler + AI call + note creation
• DatasetInsightModels.cs: Result/section record types
• InsightPageBuilder.cs: JSON payload builder for Notes page creation

DI wiring in ServiceRegistration + eager activation in MainWindowViewModel.

Desktop version bumped to 1.53.0.

New SDK message type for dataset insight generation. The Data plugin

sends this message with column metadata and sample rows when the user

clicks "Generate Insights". The shell's DatasetInsightOrchestrator

subscribes and runs AI analysis.

Tabbed AI Panel: Split the single-panel AI tray into Chat, Intents, and History

tabs. Chat shows free-form conversation, Intents shows intent suggestions and

content suggestion cards, History shows browseable past sessions.

Conversation Persistence: New AiConversationStore saves chat sessions to disk

(ai-conversations.json) with debounced writes. Sessions are auto-titled from the

first user message, capped at 100 with oldest auto-pruned.

Token Tracking: Each AI provider now declares ContextWindowTokens per model. The

chat tracks estimated token usage against the active model's context window. At

80% capacity, a warning banner suggests starting a new chat.

Active Context Injection: The AI system prompt now includes what the user is

currently viewing (active plugin item from InfoPanelService) for more relevant

responses. Cloud models get full detail fields, local models get a short summary.

Split ViewModel: AiSuggestionTrayViewModel refactored into partial files — main

orchestrator, Chat (persistence + tokens), Intents (suggestion handlers), and

History (session browsing/deletion).

Version bump: Desktop 1.51.1 → 1.52.0

Added int ContextWindowTokens property to AiModelInfo record in PrivStack.Sdk

to expose per-model context window sizes. This enables the desktop AI chat tray

to track token usage against model limits and warn users when approaching context

exhaustion. Backward-compatible — defaults to 0 for existing consumers.