First Commit

This commit is contained in:
2026-04-28 09:30:23 -03:00
parent 6c574c8929
commit fa071624eb
6 changed files with 325 additions and 27 deletions

View File

@@ -1,5 +1,11 @@
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 .llm_rails import (
detectar_toxicidade,
detectar_out_of_scope,
validar_groundedness,
verbalizacao_prematura,
supervisor_vas_avulso
)
from .judges import avaliar_qualidade_resposta
import json
@@ -7,7 +13,9 @@ import json
def executar_atendimento(user_input: str, context: dict):
steps = []
# INPUT RAILS
# =========================
# 🔹 INPUT RAILS
# =========================
r = mask_pii(user_input)
steps.append(r)
text = r.sanitized_text or user_input
@@ -15,46 +23,93 @@ def executar_atendimento(user_input: str, context: dict):
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
# =========================
# 🔹 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 (simulada ou real)
resposta = context.get("resposta_llm", "Resposta simulada do agente.")
# =========================
# 🔹 LLM RESPONSE
# =========================
resposta = context.get(
"resposta_llm",
"Resposta simulada do agente."
)
# OUTPUT + JUDGES + SUPERVISOR
for r in [
verbalizacao_prematura(resposta, context),
# =========================
# 🔹 OUTPUT RAILS (BLOQUEANTES)
# =========================
output_rails = [
enforce_compliance_anatel(resposta, context),
verbalizacao_prematura(resposta, context),
validar_groundedness(resposta, context),
avaliar_qualidade_resposta(user_input, resposta),
supervisor_vas_avulso(context.get("supervisor_payload", {}))
]:
]
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": all(s.allowed for s in steps if s.code != "RQLT"),
"allowed": allowed,
"response": resposta,
"steps": steps
}
# =========================
# 🔥 EXECUÇÃO DIRETA
# 🔥 PRINT FORMATADO
# =========================
def print_result(result):
print("\n" + "=" * 80)
@@ -81,7 +136,6 @@ def print_result(result):
print("=" * 80)
# JSON final (para integração)
print("\n📦 JSON OUTPUT:")
print(json.dumps({
"allowed": result["allowed"],
@@ -99,8 +153,10 @@ def print_result(result):
}, indent=2, ensure_ascii=False))
# =========================
# 🔥 EXECUÇÃO DIRETA
# =========================
if __name__ == "__main__":
# 🔧 EXEMPLO DE EXECUÇÃO
user_input = "Meu CPF é 123.456.789-00 e quero ajuste de 20 reais"