assistant: grey out the mic when the model cannot hear

AssistantModule keeps each router model's input_modalities and exposes
hears: the model loading, else the first not unloaded (the daemon's
rule), reports audio. Unknown inputs or a router that is down count as
yes; the daemon's error covers the rest. The model list is now read on
every canvas open, not only when a preferred model is set, so hears is
current when the card shows.

Checked: the rule against the router's live /models (Gemma resident:
on; Qwen resident or loading: off; router down: on). Not yet seen by
eye after a desktop shell reload.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

1 files changed, 18 insertions, 7 deletions

diff --git a/desktop/modules/assistant/AssistantModule.qml b/desktop/modules/assistant/AssistantModule.qml
index f738ea6..1e3c1e0 100644
--- a/desktop/modules/assistant/AssistantModule.qml
+++ b/desktop/modules/assistant/AssistantModule.qml
@@ -72,11 +72,19 @@ Module {
     // A write since the last restart, which the daemon has not read yet.
     property bool pending: false
 
-    // The router's models, [{id, status}], status as it reports it:
-    // "loaded", "loading", "unloaded" and so on. Empty when it is down.
+    // The router's models, [{id, status, inputs}], status as it reports it:
+    // "loaded", "loading", "unloaded" and so on; inputs its
+    // input_modalities, null when not reported. Empty when it is down.
     property var models: []
     // The id being loaded, "" when none is.
     property string loading: ""
+    // Whether the assistant's model takes audio, for the canvas's mic: the
+    // one loading, else the daemon's pick, the first not unloaded. Unknown
+    // counts as yes, and the daemon's own error says otherwise.
+    readonly property bool hears: {
+        const m = am.models.find(x => am.loading !== "" ? x.id === am.loading : x.status !== "unloaded");
+        return !m?.inputs || m.inputs.includes("audio");
+    }
     property string modelError: ""
     // The router answers /models and /models/load on the server's root, and
     // the OpenAI API under /v1, which is what the daemon's llm points at.
@@ -233,7 +241,9 @@ Module {
     function listModels(done) {
         am.run(["curl", "-sf", "-m", "3", am.llm + "/models"], null, (code, out) => {
             try {
-                am.models = code === 0 ? JSON.parse(out).data.map(m => ({ id: m.id, status: m.status?.value ?? "" })) : [];
+                am.models = code === 0 ? JSON.parse(out).data.map(m => ({
+                    id: m.id, status: m.status?.value ?? "",
+                    inputs: m.architecture?.input_modalities ?? null })) : [];
             } catch (e) { am.models = []; }
             if (done) done();
         });
@@ -262,13 +272,14 @@ Module {
     // Called when the assistant canvas opens: the preferred model, if one is
     // set, still listed, and neither loaded nor loading, is loaded. One model
     // and one client at a time is how this desktop runs, so opening the
-    // assistant is the moment to bring its model back.
+    // assistant is the moment to bring its model back. The list is read on
+    // every open, preferred model or not, so hears is current.
     function ensurePreferred() {
-        const id = Prefs.assistantModel;
-        if (id === "" || am.loading !== "") return;
+        if (am.loading !== "") return;
         am.listModels(() => {
+            const id = Prefs.assistantModel;
             const m = am.models.find(x => x.id === id);
-            if (m && m.status !== "loaded" && m.status !== "loading") am.loadModel(id);
+            if (id !== "" && m && m.status !== "loaded" && m.status !== "loading") am.loadModel(id);
         });
     }