bugfixes: transaction parameter collector, generic formatting messages, guardrails, prompts. Testing contas

tests/test_generic_tool_response_presentation.py

@@ -0,0 +1,72 @@
+from __future__ import annotations
+
+from types import SimpleNamespace
+
+from agent_framework.presentation import register_tool_response_renderer
+from agent_framework.runtime.agent_runtime import AgentRuntimeMixin
+
+
+class _Registry:
+    def __init__(self, responses):
+        self.responses = responses
+
+    def get_tool(self, name):
+        response = self.responses.get(name)
+        if response is None:
+            return None
+        return SimpleNamespace(response=response)
+
+
+class _Runtime(AgentRuntimeMixin):
+    def __init__(self, responses):
+        self.tool_router = SimpleNamespace(registry=_Registry(responses))
+
+    def _mcp_rag_directive(self, results):
+        return False, None
+
+    def _mcp_llm_composition_directive(self, results):
+        return False, None
+
+    def _transactional_action_match(self, text):
+        return None
+
+    def _workflow_payload_from_tool_result(self, item):
+        return None
+
+
+def _result(tool, data):
+    return [{"tool_name": tool, "ok": True, "result": data}]
+
+
+def test_renderer_mode_uses_application_registered_renderer():
+    def renderer(*, tool_name, result, state, agent_label):
+        return f"[{agent_label}] {result['name']} / {state['intent']}"
+
+    register_tool_response_renderer("test.entity", renderer)
+    rt = _Runtime({"consultar_algo": {"mode": "renderer", "renderer": "test.entity"}})
+    answer = rt.build_direct_mcp_answer(
+        {"user_text": "consulta", "intent": "test_intent"},
+        _result("consultar_algo", {"name": "OK"}),
+        agent_label="TestAgent",
+    )
+    assert answer == "[TestAgent] OK / test_intent"
+
+
+def test_missing_renderer_falls_back_without_breaking_runtime():
+    rt = _Runtime({"consultar_plano": {"mode": "renderer", "renderer": "missing.renderer"}})
+    answer = rt.build_direct_mcp_answer(
+        {"user_text": "qual meu plano"},
+        _result("consultar_plano", {"plano": "Controle", "internet_gb": 50, "status": "ATIVO"}),
+        agent_label="ProductAgent",
+    )
+    assert answer == "[ProductAgent] Seu plano é Controle, com 50 GB e status ATIVO."
+
+
+def test_no_declared_response_keeps_legacy_fallback():
+    rt = _Runtime({})
+    answer = rt.build_direct_mcp_answer(
+        {"user_text": "qual meu plano"},
+        _result("consultar_plano", {"plano": "Controle", "internet_gb": 50, "status": "ATIVO"}),
+        agent_label="ProductAgent",
+    )
+    assert answer == "[ProductAgent] Seu plano é Controle, com 50 GB e status ATIVO."