Adds vector-based similar session discovery using the existing Voyage AI
embedding infrastructure and pgvector cosine similarity search.
- New AISessionEmbedding model with vector(1024) column
- session_embedding_service: generate + upsert embeddings, find similar sessions
- Embeddings generated on session create (from problem_summary/domain) and
updated on resolve (adds resolution_summary)
- GET /ai-sessions/{id}/similar endpoint returns top-N similar sessions
- Migration a7c9e3b1f402 creates ai_session_embeddings table
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- In `start_session`: increment `flow.usage_count` and set `flow.last_matched_at`
when a flow is matched to a new session; errors are caught without blocking
- In `resolve_session`: recalculate `flow.success_rate` as (resolved / total)
across all sessions ever matched to the flow after each resolution; errors
are caught without blocking the session close
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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>
