feat(providers): GLM-5.2 native reasoning_effort controls (#58884)

Port from Kilo-Org/kilocode#11555: GLM-5.2 exposes a native
reasoning_effort knob with two enabled levels (high / max) on its
OpenAI-compatible endpoints. Previously the zai profile (direct Z.AI
/api/paas/v4) used the base ProviderProfile and emitted nothing, and the
OpenCode Go profile only handled Kimi K2 / DeepSeek — so a user's effort
preference for GLM-5.2 was silently dropped on both routes.

- zai: ZaiProfile maps effort onto high/max (xhigh/max -> max, lower -> high)
- opencode-go: same mapping for GLM-5.2, alongside existing Kimi/DeepSeek
- alias spellings recognized (glm-5.2 / glm-5-2 / glm-5p2, vendor-prefixed)
- disabled / no effort leaves the server default untouched

tests/plugins/model_providers/test_opencode_go_profile.py

@@ -122,13 +122,68 @@ class TestOpenCodeGoDeepSeekThinking:
             assert top_level == {"reasoning_effort": "max"}
 
 
+class TestOpenCodeGoGLM52Reasoning:
+    """GLM-5.2 uses its native high/max reasoning_effort knob on OpenCode Go."""
+
+    def test_high_maps_to_high(self, opencode_go_profile):
+        extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
+            reasoning_config={"enabled": True, "effort": "high"},
+            model="glm-5.2",
+        )
+        assert extra_body == {}
+        assert top_level == {"reasoning_effort": "high"}
+
+    def test_low_and_medium_clamp_up_to_high(self, opencode_go_profile):
+        for effort in ("low", "medium", "minimal"):
+            extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
+                reasoning_config={"enabled": True, "effort": effort},
+                model="glm-5.2",
+            )
+            assert extra_body == {}
+            assert top_level == {"reasoning_effort": "high"}
+
+    def test_xhigh_and_max_map_to_max(self, opencode_go_profile):
+        for effort in ("xhigh", "max"):
+            extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
+                reasoning_config={"enabled": True, "effort": effort},
+                model="z-ai/glm-5.2",
+            )
+            assert extra_body == {}
+            assert top_level == {"reasoning_effort": "max"}
+
+    def test_disabled_leaves_server_default(self, opencode_go_profile):
+        extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
+            reasoning_config={"enabled": False, "effort": "high"},
+            model="glm-5.2",
+        )
+        assert extra_body == {}
+        assert top_level == {}
+
+    def test_no_config_leaves_server_default(self, opencode_go_profile):
+        extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
+            reasoning_config=None,
+            model="glm-5.2",
+        )
+        assert extra_body == {}
+        assert top_level == {}
+
+    @pytest.mark.parametrize("model", ["glm-5-2", "glm-5p2"])
+    def test_alias_spellings_recognized(self, opencode_go_profile, model):
+        extra_body, top_level = opencode_go_profile.build_api_kwargs_extras(
+            reasoning_config={"enabled": True, "effort": "max"},
+            model=model,
+        )
+        assert top_level == {"reasoning_effort": "max"}
+
+
 class TestOpenCodeGoModelGating:
-    """Other OpenCode Go models must not receive Kimi/DeepSeek controls."""
+    """Other OpenCode Go models must not receive Kimi/DeepSeek/GLM controls."""
 
     @pytest.mark.parametrize(
         "model",
         [
             "glm-5.1",
+            "glm-5",
             "qwen3.6-plus",
             "minimax-m2.7",
             "deepseek-v3.1",