Add model dropdowns to settings and set qwen2.5:1.5b as intent default

- Default OLLAMA_INTENT_MODEL to qwen2.5:1.5b in code instead of empty
- Add GET /api/settings/models endpoint returning installed models and defaults
- Validate intent_model against installed models on save (same as default_model)
- Replace intent model text input with a dropdown of installed models
- Add chat model dropdown to Assistant settings section

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/fabledassistant/config.py

@@ -26,7 +26,7 @@ class Config:
     OLLAMA_MODEL: str = os.environ.get("OLLAMA_MODEL", "qwen3")
     # Optional dedicated model for intent classification (should be small/fast).
     # Falls back to OLLAMA_MODEL if not set. Can also be overridden per-user via settings.
-    OLLAMA_INTENT_MODEL: str = os.environ.get("OLLAMA_INTENT_MODEL", "")
+    OLLAMA_INTENT_MODEL: str = os.environ.get("OLLAMA_INTENT_MODEL", "qwen2.5:1.5b")
     # KV cache context window for generation. Lower = less VRAM, less throughput impact.
     # 8192 is sufficient for most conversations; raise if you paste large documents.
     OLLAMA_NUM_CTX: int = int(os.environ.get("OLLAMA_NUM_CTX", "8192"))

src/fabledassistant/routes/settings.py

@@ -1,6 +1,7 @@
 from quart import Blueprint, jsonify, request
 
 from fabledassistant.auth import login_required, get_current_user_id
+from fabledassistant.config import Config
 from fabledassistant.services.caldav import CALDAV_SETTING_KEYS, get_caldav_config, test_connection
 from fabledassistant.services.llm import get_installed_models
 from fabledassistant.services.settings import get_all_settings, set_settings_batch
@@ -24,17 +25,31 @@ async def update_settings_route():
     if not isinstance(data, dict):
         return jsonify({"error": "Expected a JSON object"}), 400
 
-    if "default_model" in data:
-        model = str(data["default_model"])
+    if "default_model" in data or "intent_model" in data:
         installed = await get_installed_models()
-        if installed and model not in installed:
-            return jsonify({"error": f"Model '{model}' is not installed"}), 400
+        for key in ("default_model", "intent_model"):
+            if key in data and data[key]:
+                model = str(data[key])
+                if installed and model not in installed:
+                    return jsonify({"error": f"Model '{model}' is not installed"}), 400
 
     await set_settings_batch(uid, {k: str(v) for k, v in data.items()})
     settings = await get_all_settings(uid)
     return jsonify(settings)
 
 
+@settings_bp.route("/models", methods=["GET"])
+@login_required
+async def get_models_route():
+    """Return installed Ollama models and the configured defaults."""
+    models = sorted(await get_installed_models())
+    return jsonify({
+        "models": models,
+        "default_chat_model": Config.OLLAMA_MODEL,
+        "default_intent_model": Config.OLLAMA_INTENT_MODEL,
+    })
+
+
 @settings_bp.route("/caldav", methods=["GET"])
 @login_required
 async def get_caldav():