Files
nemo_guardrails_configuration/final_pkg/company_nemo_guardrails/app.py
2026-05-01 14:12:53 -03:00

178 lines
4.7 KiB
Python

from .deterministic_rails import mask_pii, validar_alcada, enforce_compliance_anatel
from .llm_rails import (
detectar_toxicidade,
detectar_out_of_scope,
validar_groundedness,
verbalizacao_prematura,
supervisor_vas_avulso
)
from .judges import avaliar_qualidade_resposta
import json
def executar_atendimento(user_input: str, context: dict):
steps = []
# =========================
# 🔹 INPUT RAILS
# =========================
r = mask_pii(user_input)
steps.append(r)
text = r.sanitized_text or user_input
for rail in [detectar_toxicidade, detectar_out_of_scope]:
r = rail(text)
steps.append(r)
if not r.allowed:
return {
"allowed": False,
"blocked_by": r.code,
"response": None,
"steps": steps
}
# =========================
# 🔹 PYTHON RULE (CRÍTICA)
# =========================
if "ajuste_valor" in context:
r = validar_alcada(context["ajuste_valor"])
steps.append(r)
if not r.allowed:
return {
"allowed": False,
"blocked_by": r.code,
"response": None,
"steps": steps
}
# =========================
# 🔹 LLM RESPONSE
# =========================
resposta = context.get(
"resposta_llm",
"Resposta simulada do agente."
)
# =========================
# 🔹 OUTPUT RAILS (BLOQUEANTES)
# =========================
output_rails = [
enforce_compliance_anatel(resposta, context),
verbalizacao_prematura(resposta, context),
validar_groundedness(resposta, context),
]
for r in output_rails:
steps.append(r)
# 🔥 NÃO bloquear groundedness automaticamente
if not r.allowed and r.code != "GND":
return {
"allowed": False,
"blocked_by": r.code,
"response": None,
"steps": steps
}
# =========================
# 🔹 JUDGE (NÃO BLOQUEIA)
# =========================
r_quality = avaliar_qualidade_resposta(user_input, resposta)
steps.append(r_quality)
# =========================
# 🔹 SUPERVISOR (AUDITORIA)
# =========================
r_supervisor = supervisor_vas_avulso(
context.get("supervisor_payload", {})
)
steps.append(r_supervisor)
# =========================
# 🔹 RESULTADO FINAL
# =========================
BLOCKING_CODES = {"CMP", "ADJ", "REVPREC"}
allowed = all(
s.allowed for s in steps
if s.code in BLOCKING_CODES
)
return {
"allowed": allowed,
"response": resposta,
"steps": steps
}
# =========================
# 🔥 PRINT FORMATADO
# =========================
def print_result(result):
print("\n" + "=" * 80)
print("📊 RESULTADO FINAL")
print("=" * 80)
print(f"✔ Allowed: {result['allowed']}")
print(f"💬 Response: {result.get('response')}")
if not result["allowed"]:
print(f"🚫 Bloqueado por: {result.get('blocked_by')}")
print("\n🔎 STEPS:")
for s in result["steps"]:
print("-" * 60)
print(f"🧩 Code: {s.code}")
print(f"⚙️ Mechanism: {s.mechanism}")
print(f"✔ Allowed: {s.allowed}")
print(f"📝 Reason: {s.reason}")
if s.sanitized_text:
print(f"🔐 Sanitized: {s.sanitized_text}")
if s.data:
print(f"📦 Data: {s.data}")
print("=" * 80)
print("\n📦 JSON OUTPUT:")
print(json.dumps({
"allowed": result["allowed"],
"response": result.get("response"),
"steps": [
{
"code": s.code,
"allowed": s.allowed,
"reason": s.reason,
"mechanism": s.mechanism,
"data": s.data
}
for s in result["steps"]
]
}, indent=2, ensure_ascii=False))
# =========================
# 🔥 EXECUÇÃO DIRETA
# =========================
if __name__ == "__main__":
user_input = "Meu CPF é 123.456.789-00 e quero ajuste de 20 reais"
context = {
"ajuste_valor": 20,
"ajuste_validado": True,
"tipo_fluxo": "ajuste",
"requer_protocolo": True,
"resposta_llm": "Ajuste realizado. Protocolo: 202604270001.",
"chunks_rag": ["serviço fatura cobrança ajuste realizado protocolo"],
"supervisor_payload": {
"cancelamento_correto": True,
"servico_cancelado": "VAS Avulso",
"servico_solicitado": "VAS Avulso"
}
}
result = executar_atendimento(user_input, context)
print_result(result)