refactor: move customer identification to agent node

- Add identify_customer_node to Agent class for customer lookup
- Webhook now only passes customer_phone to agent state
- Customer identification happens in agent flow: START -> identify_customer -> llm_call -> tool_node -> END
This commit is contained in:
2026-03-11 00:08:58 -05:00
parent 5de87b7c8f
commit 6eb381080a
2 changed files with 43 additions and 27 deletions

View File

@@ -6,6 +6,7 @@ from langchain_core.runnables import RunnableConfig
from typing import Literal, Callable, Any, Union
from .schemas import MessagesState
from dataclasses import dataclass
import json
@dataclass
@@ -134,10 +135,12 @@ class Agent:
"""Construye el grafo de estado completo."""
agent_builder = StateGraph(MessagesState)
agent_builder.add_node("identify_customer", self._identify_customer_node)
agent_builder.add_node("llm_call", self._llm_call_node)
agent_builder.add_node("tool_node", self._tool_node)
agent_builder.add_edge(START, "llm_call")
agent_builder.add_edge(START, "identify_customer")
agent_builder.add_edge("identify_customer", "llm_call")
agent_builder.add_conditional_edges(
"llm_call", self._should_continue, {"tool_node": "tool_node", END: END}
)
@@ -145,6 +148,45 @@ class Agent:
return agent_builder
def _identify_customer_node(self, state: MessagesState) -> dict:
"""
Nodo de identificación del cliente.
Busca el cliente por teléfono y actualiza el estado.
"""
from ..logger import logger
customer_phone = state.get("customer_phone", "")
if not customer_phone:
return {"customer_name": "Cliente Anónimo", "customer_id": 0}
find_customer_tool = self._tools_by_name.get("find_customer_by_identifier")
if not find_customer_tool:
logger.warning("Tool find_customer_by_identifier not found")
return {"customer_name": "Cliente Final", "customer_id": 0}
try:
result = find_customer_tool.invoke({"identifier": customer_phone})
customer_data = json.loads(result) if result else {}
if isinstance(customer_data, list):
customer_data = customer_data[0] if customer_data else {}
if customer_data and customer_data.get("id"):
customer_name = customer_data.get("party", {}).get(
"name", "Cliente Final"
)
customer_id = customer_data.get("id", 0)
logger.info(
f"Cliente identificado: {customer_name} (ID: {customer_id})"
)
return {"customer_name": customer_name, "customer_id": customer_id}
else:
logger.info(f"Cliente no encontrado para teléfono: {customer_phone}")
return {"customer_name": "Cliente Nuevo", "customer_id": 0}
except Exception as e:
logger.error(f"Error identificando cliente: {e}")
return {"customer_name": "Cliente Final", "customer_id": 0}
def _llm_call_node(self, state: MessagesState) -> dict:
"""
Nodo LLM: Decide siguiente acción o responde.

View File

@@ -3,15 +3,12 @@ from langchain.messages import HumanMessage
from ...dependencies import get_agent
from ....logger import logger
from ....schemes.chat_schemes import SendMessageScheme
from naliiabot.bot.tools.naliia_tools import NaliiaTools
import httpx
import json
router = APIRouter()
_TOOLS = NaliiaTools()
async def send_whatsapp_message(request_data: SendMessageScheme):
"""
@@ -78,29 +75,6 @@ async def webhook_chat(request: Request, agent=Depends(get_agent)):
existing_state = await agent.checkpointer.aget(config)
if existing_state is None:
initial_state["customer_phone"] = customer_phone
find_customer_tool = _TOOLS.find_customer_by_identifier
customer_result = await find_customer_tool.ainvoke(
{"identifier": customer_phone}
)
try:
customer_data = json.loads(customer_result)
if isinstance(customer_data, list):
customer_data = customer_data[0] if customer_data else {}
if customer_data and customer_data.get("id"):
initial_state["customer_name"] = customer_data.get("party.", {}).get("name", "Cliente Final")
initial_state["customer_id"] = customer_data.get("id", 0)
logger.info(
f"Cliente registrado encontrado: {initial_state["customer_name"]} (ID: {initial_state["customer_id"]})"
)
else:
logger.info(
f"Cliente no encontrado para el teléfono: {customer_phone}"
)
except (json.JSONDecodeError, AttributeError) as e:
logger.error(f"Error al parsear datos del cliente: {e}")
logger.info(f"Nueva conversación iniciada con cliente: {customer_phone}")
agent_response = await agent.ainvoke(initial_state, config=config)