mirror of
https://github.com/hoshikawa2/agent_platform_oci.git
synced 2026-09-07 10:13:46 +00:00
208 lines
6.6 KiB
Python
208 lines
6.6 KiB
Python
from __future__ import annotations
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import json
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from types import SimpleNamespace
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import pytest
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from agent_framework.routing.continuity import SemanticRouteContinuity
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from agent_framework.routing.models import IntentDefinition
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class FakeLLM:
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def __init__(self, response: dict | str):
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self.response = response
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self.calls = []
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async def ainvoke(self, messages, **kwargs):
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self.calls.append((messages, kwargs))
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if isinstance(self.response, str):
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return self.response
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return json.dumps(self.response)
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class FakeTelemetry:
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def __init__(self):
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self.events = []
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async def event(self, name, payload):
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self.events.append((name, payload))
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def settings(**overrides):
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values = {
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"ENABLE_ROUTE_STICKINESS": True,
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"ROUTE_STICKINESS_LLM_PROFILE": "route_continuity",
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"ROUTE_STICKINESS_CONFIDENCE_THRESHOLD": 0.90,
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"ROUTE_STICKINESS_HISTORY_TURNS": 2,
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"ROUTE_STICKINESS_MAX_TOKENS": 80,
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}
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values.update(overrides)
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return SimpleNamespace(**values)
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def intents():
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return [
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IntentDefinition(
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name="product_services_information",
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agent="product_agent",
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description="Planos, serviços, benefícios e mudança de plano.",
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),
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IntentDefinition(
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name="billing_invoice_explanation",
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agent="billing_agent",
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description="Faturas, pagamentos, cobranças e contestação.",
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),
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]
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def state(message="o que está incluso?"):
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return {
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"session_id": "s1",
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"active_agent": "product_agent",
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"intent": "product_services_information",
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"domain": "telecom",
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"route_decision": {
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"intent": "product_services_information",
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"domain": "telecom",
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"mcp_tools": ["consultar_plano"],
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},
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"history": [
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{"role": "user", "content": "qual é o meu plano?"},
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{"role": "assistant", "content": "Seu plano atual é Controle 50GB."},
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],
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"user_text": message,
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"sanitized_input": message,
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}
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@pytest.mark.asyncio
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async def test_continue_bypasses_router_without_regex_rules():
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llm = FakeLLM({"decision": "CONTINUE", "confidence": 0.97, "reason": "Continua o assunto do plano."})
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telemetry = FakeTelemetry()
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policy = SemanticRouteContinuity(settings(), llm, telemetry)
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decision = await policy.evaluate(state(), intents=intents())
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assert decision is not None
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assert decision.agent == "product_agent"
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assert decision.method == "continuity"
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assert decision.metadata["route_bypassed"] is True
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assert llm.calls[0][1]["profile_name"] == "route_continuity"
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# LLM tuning belongs to llm_profiles.yaml; continuity must not override it.
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assert "max_tokens" not in llm.calls[0][1]
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assert "temperature" not in llm.calls[0][1]
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prompt = json.loads(llm.calls[0][0][1]["content"])
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assert prompt["current_message"] == "o que está incluso?"
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assert "product_agent" not in prompt["other_agents"]
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assert telemetry.events[-1][1]["route_bypassed"] is True
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@pytest.mark.asyncio
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async def test_route_result_falls_back_to_enterprise_router():
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llm = FakeLLM({"decision": "ROUTE", "confidence": 0.98, "reason": "Novo assunto de cobrança."})
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policy = SemanticRouteContinuity(settings(), llm)
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decision = await policy.evaluate(
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state("agora quero contestar uma cobrança"), intents=intents()
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)
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assert decision is None
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@pytest.mark.asyncio
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async def test_low_confidence_continue_falls_back_safely():
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llm = FakeLLM({"decision": "CONTINUE", "confidence": 0.70, "reason": "Possível continuidade."})
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policy = SemanticRouteContinuity(settings(), llm)
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assert await policy.evaluate(state(), intents=intents()) is None
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@pytest.mark.asyncio
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async def test_invalid_output_falls_back_safely():
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llm = FakeLLM("not-json")
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policy = SemanticRouteContinuity(settings(), llm)
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assert await policy.evaluate(state(), intents=intents()) is None
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@pytest.mark.asyncio
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async def test_no_active_agent_still_classifies_global_session_actions():
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llm = FakeLLM({"decision": "ROUTE", "confidence": 1.0})
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policy = SemanticRouteContinuity(settings(), llm)
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current = state()
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current.pop("active_agent")
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assert await policy.evaluate(current, intents=intents()) is None
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assert len(llm.calls) == 1
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@pytest.mark.asyncio
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async def test_human_handoff_is_returned_as_global_route():
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llm = FakeLLM({
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"decision": "HUMAN_HANDOFF",
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"confidence": 0.99,
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"reason": "O usuário pediu atendimento humano.",
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})
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policy = SemanticRouteContinuity(settings(), llm)
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decision = await policy.evaluate(
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state("quero falar com um atendente"), intents=intents()
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)
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assert decision is not None
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assert decision.route == "human_handoff"
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assert decision.agent == "human_handoff"
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assert decision.intent == "human_handoff"
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assert decision.handoff is True
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assert decision.metadata["session_control"] == "HUMAN_HANDOFF"
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assert decision.metadata["route_bypassed"] is True
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@pytest.mark.asyncio
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async def test_end_session_is_returned_as_global_route():
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llm = FakeLLM({
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"decision": "END_SESSION",
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"confidence": 0.98,
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"reason": "O usuário informou que não precisa continuar.",
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})
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policy = SemanticRouteContinuity(settings(), llm)
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decision = await policy.evaluate(state("obrigado, era só isso"), intents=intents())
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assert decision is not None
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assert decision.route == "end_session"
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assert decision.agent == "end_session"
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assert decision.intent == "end_session"
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assert decision.handoff is False
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assert decision.metadata["session_control"] == "END_SESSION"
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assert decision.metadata["route_bypassed"] is True
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@pytest.mark.asyncio
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async def test_global_session_actions_work_without_active_agent():
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llm = FakeLLM({
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"decision": "HUMAN_HANDOFF",
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"confidence": 0.97,
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"reason": "Solicitação explícita de pessoa.",
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})
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policy = SemanticRouteContinuity(settings(), llm)
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current = state("quero uma pessoa")
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current.pop("active_agent")
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decision = await policy.evaluate(current, intents=intents())
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assert decision is not None
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assert decision.route == "human_handoff"
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assert len(llm.calls) == 1
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@pytest.mark.asyncio
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async def test_continue_without_active_agent_falls_back_to_router():
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llm = FakeLLM({"decision": "CONTINUE", "confidence": 0.99})
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policy = SemanticRouteContinuity(settings(), llm)
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current = state()
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current.pop("active_agent")
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assert await policy.evaluate(current, intents=intents()) is None
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assert len(llm.calls) == 1
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