3 Commits

Author	SHA1	Message	Date
chihlasm	9bad49d568	feat(knowledge-flywheel): add Phase 3 Knowledge Flywheel — AI analysis, review queue, analytics ... Phase 3 implementation: - AI session analysis service that generates flow proposals from resolved sessions - APScheduler job for batch processing pending analyses (max_instances=1) - Knowledge gap detection (weak options, high escalation signals) - Flow proposals CRUD with team admin review workflow (approve/edit/dismiss/reject) - FlowPilot analytics dashboard with confidence tiers, PSA metrics, knowledge gaps - In-session script generator component - Review queue page with filtering and proposal detail panel Bug fixes from review (12 total): - Fix "Edit & Publish" navigating to non-existent /editor/new route - Hide Approve button for enhancement proposals (require Edit & Publish) - Add max_instances=1 to scheduler to prevent TOCTOU race - Fix eventual_success case() double-counting failed retries - Add tree_structure validation before creating tree from proposal - Simplify script generator rendering condition - Add severity style fallback, toFixed on rates, Link instead of <a href> - Add toast.warning on dismiss failure, fix dedup for domain-less sessions - Cast Decimal to int in knowledge gap evidence dicts Also updates CLAUDE.md with lessons 67-71 and Phase 3 project structure. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-19 05:12:10 +00:00
chihlasm	2063a799b0	fix(flowpilot): render step content as markdown instead of plain text ... FlowPilot AI sends markdown-formatted instructions but FlowPilotStepCard was rendering them as plain <p> tags, producing an unreadable wall of text. Switch to the existing MarkdownContent component for proper formatting. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-18 16:50:43 +00:00
chihlasm	5494816b06	feat(ai-session): add FlowPilot AI-powered troubleshooting sessions ... Implements Phase 1 of the FlowPilot-First pivot — the core AI session experience where engineers describe a problem and FlowPilot guides them through structured diagnosis with selectable options, free-text escape hatches, and auto-generated documentation on resolution. Backend: AISession + AISessionStep models, FlowPilot Engine (LLM orchestration with structured JSON output), Flow Matching Engine v1 (semantic + keyword + recency scoring), 8 API endpoints with auth, rate limiting, and AI quota enforcement. Frontend: Intake screen, conversational session view with sidebar, step cards with options/actions/resolution suggestions, resolve/escalate modals, documentation view with rating, session history integration, and /pilot route with sidebar navigation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-18 14:27:36 +00:00