agent/state.py

from __future__ import annotations
from typing import Annotated, Optional
from typing_extensions import TypedDict
from langgraph.graph.message import add_messages
from langchain_core.messages import BaseMessage


class AgentState(TypedDict):
    messages: Annotated[list[BaseMessage], add_messages]
    intent: str          # greeting | inquiry | high_intent | collecting | unknown
    collecting_lead: bool
    lead_name: Optional[str]
    lead_email: Optional[str]
    lead_platform: Optional[str]
    lead_captured: bool
    rag_context: str