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

@@ -0,0 +1,59 @@
"""Pydantic schemas for standalone AI assistant chat."""
from typing import Optional, Any
from uuid import UUID
from datetime import datetime
from pydantic import BaseModel, Field
from app.schemas.copilot import SuggestedFlow
class ChatCreateRequest(BaseModel):
"""Empty body — creates a new blank conversation."""
pass
class ChatMessageRequest(BaseModel):
message: str = Field(..., min_length=1, max_length=8000)
class ChatMessageResponse(BaseModel):
content: str
suggested_flows: list[SuggestedFlow] = []
class ChatListResponse(BaseModel):
id: UUID
title: str
message_count: int
pinned: bool
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
class ChatDetailResponse(BaseModel):
id: UUID
title: str
messages: list[dict[str, Any]]
message_count: int
pinned: bool
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
class ChatUpdateRequest(BaseModel):
title: Optional[str] = Field(None, min_length=1, max_length=255)
pinned: Optional[bool] = None
class RetentionSettingsResponse(BaseModel):
chat_retention_days: Optional[int]
chat_retention_max_count: Optional[int]
class RetentionSettingsUpdate(BaseModel):
chat_retention_days: Optional[int] = Field(None, ge=1, le=365)
chat_retention_max_count: Optional[int] = Field(None, ge=10, le=10000)