feat: baseline tracking service #85

Description

This merge request introduces the foundational architecture for the Tracking module and integrates it with the core application workflow. The tracking service allows us to persistently capture LLM suggestion batches and track user interactions (accepting/rejecting) with those suggestions.

Key Changes

• Data Models & Interfaces: Defined the core tracking typings in types.ts (LlmBatch, SuggestionEntry, InteractionEvent, etc.) and established ITrackingWriter and ITrackingReader contract (for local exporting we want to implement reader but for api solution users should not export data).
• Storage Layer (TrackingStorageAdapter): Implemented a local persistence layer utilizing IndexedDB to store LLM batches, generated suggestions, and user interaction events.
• Core Logic (TrackingService): Implemented the main tracking service responsible for orchestrating tracking sessions (startLlmBatch) and logging interaction events.
• Application Integration:
  • Instantiated the TrackingService and TrackingStorageAdapter within AppProviders.
  • Injected the TrackingService into the LLMAnalysisService.
  • Instrumented the LLMAnalysisService to automatically start a tracking batch when a new analysis completes and to log ACCEPT and REJECT interaction events when the user reviews a suggestion.

Related Issues

#85 (closed)