Updated model capabilities across all providers (#940)

app/MindWork AI Studio/Settings/ProviderExtensions.OpenSource.cs

@@ -71,6 +71,21 @@ public static partial class ProviderExtensions
             ];
         }
 
+        //
+        // Meta Muse models. They need their own block because their names do not
+        // contain "llama". Muse Glimmer always reasons: its chat template opens the
+        // thinking channel unconditionally, only the reasoning strength can be lowered.
+        //
+        if (modelName.IndexOf("muse-glimmer") is not -1)
+            return
+            [
+                Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
+                Capability.TEXT_OUTPUT,
+
+                Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING,
+                Capability.CHAT_COMPLETION_API,
+            ];
+
         //
         // DeepSeek models:
         //
@@ -122,6 +137,19 @@ public static partial class ProviderExtensions
                     Capability.CHAT_COMPLETION_API,
                 ];
 
+            // Check for the Qwen 3.8 Flash models. The open weights are published as
+            // Flash-Next, while Flash without the suffix is the production model. Both
+            // share the same capabilities, so one check covers them:
+            if(modelName.IndexOf("qwen3.8-flash") is not -1)
+                return
+                [
+                    Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT, Capability.VIDEO_INPUT,
+                    Capability.TEXT_OUTPUT,
+
+                    Capability.REASONING_BY_DEFAULT, Capability.FUNCTION_CALLING,
+                    Capability.CHAT_COMPLETION_API,
+                ];
+
             // Check for the multimodal Qwen 3.8 27B checkpoint:
             if(modelName.IndexOf("qwen3.8-27b") is not -1)
                 return
@@ -193,6 +221,23 @@ public static partial class ProviderExtensions
                 Capability.CHAT_COMPLETION_API,
             ];
         
+        //
+        // Tencent Hunyuan models. Hy3 answers directly by default: its reasoning_effort
+        // parameter defaults to no_think, low and high must be requested. We also match
+        // the short name because providers offer the model as tencent/hy3, so checking
+        // the start of the name is not enough.
+        //
+        if (modelName.IndexOf("hunyuan") is not -1 ||
+            modelName.IndexOf("hy3") is not -1)
+            return
+            [
+                Capability.TEXT_INPUT,
+                Capability.TEXT_OUTPUT,
+
+                Capability.OPTIONAL_REASONING, Capability.FUNCTION_CALLING,
+                Capability.CHAT_COMPLETION_API,
+            ];
+
         //
         // Mistral models:
         //
@@ -335,6 +380,18 @@ public static partial class ProviderExtensions
                     Capability.CHAT_COMPLETION_API,
                 ];
         
+            // Grok 4 models take text, images, and video natively. Reasoning is always
+            // on, only the reasoning effort can be configured:
+            if(modelName.IndexOf("grok-4") is not -1)
+                return
+                [
+                    Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT, Capability.VIDEO_INPUT,
+                    Capability.TEXT_OUTPUT,
+
+                    Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING,
+                    Capability.CHAT_COMPLETION_API,
+                ];
+
             if(modelName.StartsWith("grok-3-mini"))
                 return 
                 [
@@ -346,14 +403,25 @@ public static partial class ProviderExtensions
                 ];
         
             if(modelName.StartsWith("grok-3"))
-                return 
+                return
                 [
                     Capability.TEXT_INPUT,
                     Capability.TEXT_OUTPUT,
-                    
+
                     Capability.FUNCTION_CALLING,
                     Capability.CHAT_COMPLETION_API,
                 ];
+
+            // Any other Grok model. Without this, unknown Grok versions would fall
+            // through to the global default and would lose function calling:
+            return
+            [
+                Capability.TEXT_INPUT,
+                Capability.TEXT_OUTPUT,
+
+                Capability.FUNCTION_CALLING,
+                Capability.CHAT_COMPLETION_API,
+            ];
         }
         
         //
@@ -383,11 +451,41 @@ public static partial class ProviderExtensions
                 ];
         }
         
+        //
+        // NVIDIA Nemotron models. They are built for agentic workloads and are text
+        // only. Reasoning has to be requested through enable_thinking, so it is
+        // optional. The check also covers the quantized checkpoints such as
+        // NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4.
+        //
+        if (modelName.IndexOf("nemotron") is not -1)
+            return
+            [
+                Capability.TEXT_INPUT,
+                Capability.TEXT_OUTPUT,
+
+                Capability.OPTIONAL_REASONING, Capability.FUNCTION_CALLING,
+                Capability.CHAT_COMPLETION_API,
+            ];
+
         //
         // Z AI / GLM models:
         //
         if (modelName.IndexOf("glm") is not -1)
         {
+            // GLM 5.3 uses forced thinking: the reasoning effort can be lowered, but
+            // reasoning cannot be turned off. This check must stay in front of the
+            // vision check below, because quantized builds such as GLM-5.3-Flash-NVFP4
+            // contain a "v" and would be misread as a vision model:
+            if (modelName.IndexOf("glm-5.3") is not -1)
+                return
+                [
+                    Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
+                    Capability.TEXT_OUTPUT,
+
+                    Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING,
+                    Capability.CHAT_COMPLETION_API,
+                ];
+
             if (modelName.IndexOf("glm-5.2") is not -1)
                 return
                 [