feat: add AI assistant with in-session copilot and standalone chat with RAG

Implements three-phase AI assistant feature:
- Phase 0: RAG infrastructure with pgvector embeddings, Voyage AI integration,
  tree chunking service, and semantic search over team's flow library
- Phase 1: In-session copilot panel during flow navigation with contextual
  AI help, current step awareness, and suggested related flows
- Phase 2: Standalone AI chat page with persistent conversation history,
  pin/delete, and configurable retention policies (account-level)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Michael Chihlas
2026-03-04 01:36:36 -05:00
parent 41cb7956cb
commit 1aa60dada2
44 changed files with 3080 additions and 14 deletions

View File

@@ -1,3 +1,4 @@
import logging
from datetime import datetime, timezone
from typing import Annotated, Optional
from uuid import UUID
@@ -29,6 +30,7 @@ from app.core.audit import log_audit
from app.core.config import settings
from app.core.tree_validation import can_publish_tree
from app.core.step_sync import sync_steps_from_tree, deactivate_synced_steps_for_tree
from app.services.rag_service import index_tree as rag_index_tree
router = APIRouter(prefix="/trees", tags=["trees"])
@@ -542,6 +544,13 @@ async def create_tree(
)
tree = result.scalar_one()
# Index tree for RAG (best-effort, don't fail the request)
try:
await rag_index_tree(tree.id, db)
await db.commit()
except Exception:
logging.getLogger(__name__).warning("RAG indexing failed for tree %s", tree.id)
return build_full_tree_response(tree)
@@ -725,6 +734,13 @@ async def update_tree(
)
tree = result.scalar_one()
# Re-index tree for RAG (best-effort)
try:
await rag_index_tree(tree.id, db)
await db.commit()
except Exception:
logging.getLogger(__name__).warning("RAG re-indexing failed for tree %s", tree.id)
return build_full_tree_response(tree)