Feature: AI-Assisted Session Insights and Incident Narratives

[hoangsonww]

Problem

Users can see raw events, but deriving concise explanations of what happened during a noisy session is time-consuming.

Proposal

Add an AI Insights layer that generates structured session summaries, anomaly explanations, and actionable recommendations.

Scope

• Per-session auto-summary (timeline highlights + key state transitions)
• Incident narrative mode for sessions with errors/timeouts
• Suggested follow-up actions (e.g., inspect specific tools or time windows)
• Confidence indicators and source-event links for every claim

Guardrails

• Summaries must cite exact event IDs/time ranges
• Never mutate source data; insights are derived artifacts
• Allow disabling AI features for fully local/offline mode

Technical Notes

• Build an abstraction for pluggable summarizers (local heuristics + LLM-backed option)
• Store summaries in session_insights with regeneration support
• Include cache invalidation when late events arrive

Acceptance Criteria

• User can generate and view session summaries on demand
• Every insight links back to source events
• Regeneration works after new events are ingested
• UI clearly distinguishes inferred insights vs raw facts
• Feature can be disabled without impacting core workflows