"""Unit tests for the Z.AI / GLM provider profile's thinking-mode wiring. Z.AI's GLM-4.5-and-later chat models default to thinking-mode ON when the request omits ``thinking``. Before the profile emitted the parameter, ``reasoning_config = {"enabled": False}`` was a silent no-op on the direct Z.AI route — users who turned thinking off kept burning thinking tokens on every turn (the desktop "thinking reverts to medium" report). These tests pin the profile's wire-shape contract so Z.AI requests stay correctly shaped without going live. """ from __future__ import annotations import pytest @pytest.fixture def zai_profile(): """Resolve the registered Z.AI profile through the real discovery path.""" # ``model_tools`` triggers plugin discovery on import, which is what # registers the Z.AI profile in the global provider registry. import model_tools # noqa: F401 import providers profile = providers.get_provider_profile("zai") assert profile is not None, "zai provider profile must be registered" return profile class TestZaiThinkingWireShape: """``build_api_kwargs_extras`` produces Z.AI's exact wire format.""" def test_no_preference_omits_thinking(self, zai_profile): """No reasoning_config → omit ``thinking`` so the server default applies (matches prior behavior for users with no preference).""" extra_body, top_level = zai_profile.build_api_kwargs_extras( reasoning_config=None, model="glm-5" ) assert extra_body == {} assert top_level == {} def test_enabled_sends_enabled_marker(self, zai_profile): extra_body, top_level = zai_profile.build_api_kwargs_extras( reasoning_config={"enabled": True, "effort": "medium"}, model="glm-5" ) assert extra_body == {"thinking": {"type": "enabled"}} assert top_level == {} def test_explicitly_disabled_sends_disabled_marker(self, zai_profile): """``reasoning_config.enabled=False`` → ``thinking.type=disabled``. The crucial bit is that the parameter is *sent* at all — GLM defaults to thinking-on when ``thinking`` is absent, so an unsent disable burns thinking tokens forever. """ extra_body, top_level = zai_profile.build_api_kwargs_extras( reasoning_config={"enabled": False}, model="glm-5" ) assert extra_body == {"thinking": {"type": "disabled"}} assert top_level == {} def test_no_effort_levels_leak_to_top_level(self, zai_profile): """GLM has no effort knob — never emit ``reasoning_effort``.""" for effort in ("minimal", "low", "medium", "high", "xhigh"): _, top_level = zai_profile.build_api_kwargs_extras( reasoning_config={"enabled": True, "effort": effort}, model="glm-5.2" ) assert top_level == {} class TestZaiModelGating: """GLM 4.5+ get thinking; earlier GLM models are left untouched.""" @pytest.mark.parametrize( "model", [ "glm-4.5", "glm-4.5-air", "glm-4.5-flash", "glm-4.6", "glm-5", "glm-5.2", "GLM-5", # case-insensitive ], ) def test_thinking_capable_models_emit_thinking(self, zai_profile, model): extra_body, _ = zai_profile.build_api_kwargs_extras( reasoning_config={"enabled": False}, model=model ) assert extra_body == {"thinking": {"type": "disabled"}} @pytest.mark.parametrize( "model", [ "glm-4-9b", # pre-4.5, no thinking param "glm-4", "glm-3-turbo", "", # bare/unknown None, # missing "charglm-3", # non-GLM-versioned id ], ) def test_non_thinking_models_emit_nothing(self, zai_profile, model): extra_body, top_level = zai_profile.build_api_kwargs_extras( reasoning_config={"enabled": False}, model=model ) assert extra_body == {} assert top_level == {} class TestZaiFullKwargsIntegration: """End-to-end: the transport's full kwargs carry the thinking marker.""" def test_disabled_reaches_the_wire(self, zai_profile): from agent.transports.chat_completions import ChatCompletionsTransport kwargs = ChatCompletionsTransport().build_kwargs( model="glm-5", messages=[{"role": "user", "content": "ping"}], tools=None, provider_profile=zai_profile, reasoning_config={"enabled": False}, base_url="https://api.z.ai/api/paas/v4", provider_name="zai", ) assert kwargs["extra_body"]["thinking"] == {"type": "disabled"} def test_no_preference_keeps_wire_clean(self, zai_profile): from agent.transports.chat_completions import ChatCompletionsTransport kwargs = ChatCompletionsTransport().build_kwargs( model="glm-5", messages=[{"role": "user", "content": "ping"}], tools=None, provider_profile=zai_profile, reasoning_config=None, base_url="https://api.z.ai/api/paas/v4", provider_name="zai", ) assert "thinking" not in kwargs.get("extra_body", {})