Added a method to detect reasoning models and turn reasoning off.

game/script.rpy

@@ -1,39 +1,56 @@
-define a = Character("Anita", color = "#aaaa00", callback = speaker("a"), image = "anita")
-
-label start:
-    play music ["zeropage_ambiphonic303chilloutmix.mp3",
-                "zeropage_ambientdance.mp3",
-                "zeropage_ambiose.mp3" ] fadeout 0.5 fadein 0.5
-
-    scene bg room
-    show anita happy with dissolve
-
-    python:
-        response = fetch_llm('Start the conversation.')[0]
-        sanitized = sanitize_speech(response)
-        emotion, line = parse_emotion(sanitized)
-
-    a "[line]"
-
-    while True:
-        python:
-            message = renpy.input(prompt = "What do you say to her?")
-            response = fetch_llm(message)
-            i = 0
-
-        while i < len(response):
-            python:
-                r = response[i].strip()
-                s = sanitize_speech(r)
-
-            if s != '':
-                $ emotion, line = parse_emotion(s)
-
-                if emotion is not None:
-                    show expression f'anita {emotion}'
-
-                a "[line]"
-
-            $ i += 1
-
-    return
+define a = Character("Anita", color = "#aaaa00", callback = speaker("a"), image = "anita")
+
+label start:
+    stop music fadeout 1.0
+    scene bg room
+    with Dissolve(2.0)
+
+    $ success, error = set_model_capabilities()
+
+    if not success:
+        call failure(error) from _call_failure
+        return
+
+    play music ["zeropage_ambiphonic303chilloutmix.mp3",
+                "zeropage_ambientdance.mp3",
+                "zeropage_ambiose.mp3" ] fadeout 0.5 fadein 0.5
+
+    show anita happy with dissolve
+
+    python:
+        response = fetch_llm('Start the conversation.')[0]
+        emotion, line = parse_emotion(response)
+
+    a "[line]"
+
+    while True:
+        python:
+            message = renpy.input(prompt = "What do you say to her?")
+            response = fetch_llm(message)
+            i = 0
+
+        while i < len(response):
+            python:
+                r = response[i].strip()
+
+            if r != '':
+                $ emotion, line = parse_emotion(r)
+
+                if emotion is not None:
+                    show expression f'anita {emotion}'
+
+                a "[line]"
+
+            $ i += 1
+
+    return
+
+
+label failure(error):
+    """Alas! Figuring out the capabilities of the configured model failed with the following error.
+
+    [error]
+
+    Unfortunately the program cannot continue, returning to the main menu."""
+
+    return