Allow the none reasoning effort for GPT-6 Luna (#183922)

homeassistant/components/openai_conversation/config_flow.py

@@ -629,6 +629,7 @@ class OpenAISubentryFlowHandler(ConfigSubentryFlow):
             return []
 
         models_reasoning_map: dict[str | tuple[str, ...], list[str]] = {
+            "gpt-6-luna": ["none", "low", "medium", "high", "xhigh", "max"],
             "gpt-6": ["low", "medium", "high", "xhigh", "max"],
             "gpt-5.6": ["none", "low", "medium", "high", "xhigh", "max"],
             ("gpt-5.2-pro", "gpt-5.4-pro", "gpt-5.5-pro"): ["medium", "high", "xhigh"],

tests/components/openai_conversation/snapshots/test_conversation.ambr

@@ -529,6 +529,46 @@
     }),
   })
 # ---
+# name: test_model_args[subentry_options7]
+  dict({
+    'max_output_tokens': 3000,
+    'model': 'gpt-6-luna',
+    'prompt_cache_options': dict({
+      'ttl': '30m',
+    }),
+    'reasoning': dict({
+      'effort': 'low',
+      'summary': 'auto',
+    }),
+    'service_tier': 'auto',
+    'store': False,
+    'stream': True,
+    'text': dict({
+      'verbosity': 'medium',
+    }),
+  })
+# ---
+# name: test_model_args[subentry_options8]
+  dict({
+    'max_output_tokens': 3000,
+    'model': 'gpt-6-luna',
+    'prompt_cache_options': dict({
+      'ttl': '30m',
+    }),
+    'reasoning': dict({
+      'effort': 'none',
+      'summary': 'auto',
+    }),
+    'service_tier': 'auto',
+    'store': False,
+    'stream': True,
+    'temperature': 0.5,
+    'text': dict({
+      'verbosity': 'medium',
+    }),
+    'top_p': 0.9,
+  })
+# ---
 # name: test_web_search[False]
   list([
     dict({

tests/components/openai_conversation/test_config_flow.py

@@ -275,6 +275,7 @@ async def test_subentry_unsupported_model(
         ("gpt-5.5", ["none", "low", "medium", "high", "xhigh"]),
         ("gpt-5.5-pro", ["medium", "high", "xhigh"]),
         ("gpt-5.6", ["none", "low", "medium", "high", "xhigh", "max"]),
+        ("gpt-6-luna", ["none", "low", "medium", "high", "xhigh", "max"]),
         ("gpt-6-astra", ["low", "medium", "high", "xhigh", "max"]),
     ],
 )
@@ -320,6 +321,42 @@ async def test_subentry_reasoning_effort_list(
     )
 
 
+@pytest.mark.usefixtures("mock_init_component")
+@pytest.mark.parametrize("subentry_type", ["conversation", "ai_task_data"])
+@pytest.mark.parametrize("reasoning_effort", ["none", "low"])
+async def test_subentry_luna_reasoning_effort(
+    hass: HomeAssistant,
+    mock_config_entry: MockConfigEntry,
+    subentry_type: str,
+    reasoning_effort: str,
+) -> None:
+    """Test that Luna reasoning effort can be selected and saved."""
+    subentry = next(
+        entry
+        for entry in mock_config_entry.subentries.values()
+        if entry.subentry_type == subentry_type
+    )
+    result = await mock_config_entry.start_subentry_reconfigure_flow(
+        hass, subentry.subentry_id
+    )
+    result = await hass.config_entries.subentries.async_configure(
+        result["flow_id"], {CONF_RECOMMENDED: False}
+    )
+    result = await hass.config_entries.subentries.async_configure(
+        result["flow_id"], {CONF_CHAT_MODEL: "gpt-6-luna"}
+    )
+    assert result["step_id"] == "model"
+
+    result = await hass.config_entries.subentries.async_configure(
+        result["flow_id"], {CONF_REASONING_EFFORT: reasoning_effort}
+    )
+    assert result["type"] is FlowResultType.ABORT
+    assert result["reason"] == "reconfigure_successful"
+    saved = mock_config_entry.subentries[subentry.subentry_id].data
+    assert saved[CONF_CHAT_MODEL] == "gpt-6-luna"
+    assert saved[CONF_REASONING_EFFORT] == reasoning_effort
+
+
 @pytest.mark.parametrize(
     ("model", "has_reasoning_summary"),
     [

tests/components/openai_conversation/test_conversation.py

@@ -879,6 +879,13 @@ async def test_flex_tier_retry(
             CONF_REASONING_SUMMARY: "off",
             CONF_VERBOSITY: "high",
         },
+        {CONF_CHAT_MODEL: "gpt-6-luna"},
+        {
+            CONF_CHAT_MODEL: "gpt-6-luna",
+            CONF_REASONING_EFFORT: "none",
+            CONF_TEMPERATURE: 0.5,
+            CONF_TOP_P: 0.9,
+        },
     ],
 )
 @pytest.mark.usefixtures("mock_init_component")