feat: add account management, email verification, AI fixes, and user guides
- Profile settings, account transfer, delete/leave account flows - Email verification with JWT tokens and Resend integration - AI assistant/copilot fixes: markdown rendering, shared RAG helpers, token tracking, input refocus, model_validate usage - User guides hub + detail pages with 13 topic guides - Sidebar and top bar navigation for guides Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -12,7 +12,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.ai_provider import get_ai_provider
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from app.models.assistant_chat import AssistantChat
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from app.services import rag_service
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from app.services.rag_service import search as rag_search, build_rag_context, extract_suggested_flows
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logger = logging.getLogger(__name__)
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@@ -33,36 +33,6 @@ When answering:
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"""
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def _build_rag_context(rag_results: list[dict[str, Any]]) -> str:
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"""Format RAG results into a system prompt section."""
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if not rag_results:
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return ""
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parts = ["\n--- RELEVANT FLOWS FROM TEAM LIBRARY ---"]
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for r in rag_results[:5]:
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parts.append(f"- [{r['tree_type']}] {r['tree_name']}: {r['chunk_text'][:200]}")
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return "\n".join(parts)
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def _extract_suggested_flows(rag_results: list[dict[str, Any]]) -> list[dict[str, Any]]:
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"""Extract unique suggested flows from RAG results."""
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seen: set[str] = set()
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suggestions = []
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for r in rag_results:
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tid = r["tree_id"]
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if tid in seen or r["similarity"] < 0.3:
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continue
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seen.add(tid)
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suggestions.append({
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"tree_id": tid,
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"tree_name": r["tree_name"],
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"tree_type": r["tree_type"],
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"relevance_snippet": r["chunk_text"][:150],
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})
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return suggestions[:3]
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def _auto_title(message: str) -> str:
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"""Generate a short title from the first user message."""
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title = message.strip()[:100]
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@@ -113,7 +83,7 @@ async def send_message(
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chat.title = _auto_title(message)
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# RAG search
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rag_results = await rag_service.search(
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rag_results = await rag_search(
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query=message,
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account_id=account_id,
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db=db,
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@@ -121,7 +91,7 @@ async def send_message(
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)
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# Build system prompt
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system_prompt = ASSISTANT_SYSTEM_PROMPT + _build_rag_context(rag_results)
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system_prompt = ASSISTANT_SYSTEM_PROMPT + build_rag_context(rag_results)
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# Build messages for AI
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ai_messages = []
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@@ -147,6 +117,6 @@ async def send_message(
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chat.total_input_tokens += input_tokens
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chat.total_output_tokens += output_tokens
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suggested_flows = _extract_suggested_flows(rag_results)
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suggested_flows = extract_suggested_flows(rag_results)
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return ai_content, suggested_flows, chat
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