From 0764a0a923bf1e7e3cd6689929baa03b4f6a50a2 Mon Sep 17 00:00:00 2001
From: onatozmenn <onatozmen44@gmail.com>
Date: Mon, 14 Sep 2026 00:12:15 +0300
Subject: [PATCH] fix(responses): dispatch effort capability check by provider
 and drop test monkeypatching - Azure responses config reads Azure map entry
 (OpenAI entry disables minimal on gpt-5.4, Azure enables it); temperature
 revalidation test now uses real gpt-5.1 map data

---
 .../llms/azure/responses/transformation.py    |  9 +++++
 .../test_reasoning_effort_capability.py       | 40 +++++++++++++++----
 2 files changed, 42 insertions(+), 7 deletions(-)

diff --git a/litellm/llms/azure/responses/transformation.py b/litellm/llms/azure/responses/transformation.py
index 7fe12138ebc..696840b0d17 100644
--- a/litellm/llms/azure/responses/transformation.py
+++ b/litellm/llms/azure/responses/transformation.py
@@ -38,6 +38,15 @@ class AzureOpenAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
     def _effort_resolves_to_none(model: str, effort: str | None) -> bool:
         return AzureOpenAIGPT5Config.effort_resolves_to_none(model, effort)
 
+    @staticmethod
+    def _is_unsupported_reasoning_effort(model: str, effort: str | None) -> bool:
+        """Read the effort capability from the Azure map entry, like the sibling checks above.
+
+        The inherited OpenAI lookup would resolve a bare Azure deployment name (e.g. ``gpt-5.4``)
+        against the OpenAI entry, which can explicitly disable an effort Azure supports.
+        """
+        return AzureOpenAIGPT5Config.is_reasoning_effort_unsupported(model, effort)
+
     def get_supported_openai_params(self, model: str) -> list:
         """
         Azure Responses API does not support context_management (compaction).
diff --git a/tests/test_litellm/llms/openai/responses/test_reasoning_effort_capability.py b/tests/test_litellm/llms/openai/responses/test_reasoning_effort_capability.py
index 2eef324eacd..cdb8f3ee4bc 100644
--- a/tests/test_litellm/llms/openai/responses/test_reasoning_effort_capability.py
+++ b/tests/test_litellm/llms/openai/responses/test_reasoning_effort_capability.py
@@ -1,7 +1,7 @@
 import pytest
 
 import litellm
-from litellm.llms.openai.chat.gpt_5_transformation import OpenAIGPT5Config
+from litellm.llms.azure.responses.transformation import AzureOpenAIResponsesAPIConfig
 from litellm.llms.openai.responses.transformation import OpenAIResponsesAPIConfig
 
 
@@ -41,18 +41,44 @@ def test_drop_params_removes_only_unsupported_effort() -> None:
     assert result["reasoning"] == {"summary": "detailed"}
 
 
-def test_drop_params_revalidates_temperature_after_effort_drop(monkeypatch: pytest.MonkeyPatch) -> None:
-    config = OpenAIResponsesAPIConfig()
+def test_drop_params_revalidates_temperature_after_effort_drop() -> None:
+    """Dropping an unsupported effort revalidates temperature against the emptied effort.
 
-    monkeypatch.setattr(OpenAIGPT5Config, "_supports_reasoning_effort_level", lambda model, level: False)
-    monkeypatch.setattr(config, "_supports_reasoning_effort_none", lambda model: True)
-    monkeypatch.setattr(config, "_effort_resolves_to_none", lambda model, effort: effort is None)
+    `gpt-5.1` really declares `xhigh` unsupported while supporting (and defaulting to)
+    `none`, so no capability stubbing is needed: the dropped effort resolves to `none`
+    and a valid non-default temperature survives.
+    """
+    config = OpenAIResponsesAPIConfig()
 
     result = config.map_openai_params(
         response_api_optional_params={"reasoning": {"effort": "xhigh"}, "temperature": 0.5},
-        model="gpt-5-test",
+        model="gpt-5.1",
         drop_params=True,
     )
 
     assert "reasoning" not in result
     assert result["temperature"] == 0.5
+
+
+def test_azure_config_uses_azure_capability_map_for_effort() -> None:
+    """A bare Azure deployment name must resolve against the Azure map entry.
+
+    OpenAI's `gpt-5.4` entry explicitly disables `minimal` while Azure's enables it;
+    the OpenAI lookup would wrongly reject an effort Azure supports.
+    """
+    openai_config = OpenAIResponsesAPIConfig()
+    with pytest.raises(litellm.UnsupportedParamsError, match="reasoning.effort=minimal"):
+        openai_config.map_openai_params(
+            response_api_optional_params={"reasoning": {"effort": "minimal"}},
+            model="gpt-5.4",
+            drop_params=False,
+        )
+
+    azure_config = AzureOpenAIResponsesAPIConfig()
+    result = azure_config.map_openai_params(
+        response_api_optional_params={"reasoning": {"effort": "minimal"}},
+        model="gpt-5.4",
+        drop_params=False,
+    )
+
+    assert result["reasoning"] == {"effort": "minimal"}