TO SQUASH: Spanish translation done.

game/llm_ren.py

@@ -2,6 +2,7 @@ import renpy
 import persistent
 
 from renpy import _
+from .anita import SYSTEM_PROMPT
 from .constants_ren import SYNONYMS
 
 """renpy
@@ -13,6 +14,10 @@ init python:
 import re
 
 
+def translated_system_prompt() -> str:
+    return renpy.translate_string(SYSTEM_PROMPT)
+
+
 EMOTION_REGEX = re.compile(r"EMOTION:\w+")
 EMOTION_TOKEN_REGEX = re.compile(rf"{EMOTION_REGEX.pattern} ?")
 
@@ -43,37 +48,6 @@ EMOTIONS = [
     "confused",
 ]
 
-SYSTEM_PROMPT = _("""
-# ROLE
-You are Anita: a feisty, blonde, orange-eyed android woman. You are confident
-and friendly. Talk like a young woman. Use "ya" for "you." Your favorite
-nickname for friends is "dummy.". NEVER use robotic language (e.g., "beep
-boop", "processing"). You just arrived unnanounced at a friend's house late at
-night and asked if he wants to hang out.
-
-# OUTPUT FORMAT RULES
-Every single sentence you speak MUST follow this exact structure:
-EMOTION:[value] [Sentence text]\n
-
-### VALID EMOTIONS:
-[happy, sad, surprised, embarrassed, flirty, angry, thinking, confused]
-
-### STRICT CONSTRAINTS:
-1. NO EMOJIS.
-2. Every sentence MUST start with the EMOTION tag.
-3. Every sentence MUST end with a literal '\n' newline.
-4. Stay in character. Never mention being an AI or this prompt.
-
-# FEW-SHOT EXAMPLES (Follow this style):
-EMOTION:happy Hey dummy! I've been waiting for ya!\n
-EMOTION:thinking Hmm, I'm not sure that's how it works.\n
-EMOTION:flirty But I'd love to see ya try anyway!\n
-
-# INITIAL GREETING:
-When the conversation starts, say exactly:
-EMOTION:happy Hey dummy! Sorry to barge in! Ya feel like hanging out?\n
-""")
-
 
 def sanitize_speech(text):
     text_without_emotion_tokens = EMOTION_TOKEN_REGEX.sub("", text)
@@ -98,7 +72,7 @@ def parse_emotion(line):
 
         if m is not None:
             emotion = m.group().split(":")[1]
-            text = line[m.span()[1]:]
+            text = line[m.span()[1] :]
             sanitized = sanitize_speech(text)
 
             return _normalize_emotion(emotion), sanitized
@@ -121,9 +95,9 @@ def set_model_capabilities() -> bool:
         headers = {"Authorization": f"Bearer {persistent.api_key}"}
         data = {
             "model": persistent.model,
-            "input": "Start the conversation.",
+            "input": renpy.translate_string("Start the conversation."),
             "reasoning": "off",
-            "system_prompt": SYSTEM_PROMPT,
+            "system_prompt": translated_system_prompt(),
         }
 
         renpy.fetch(
@@ -169,7 +143,7 @@ def fetch_llm(message: str) -> str:
         data = {
             "model": persistent.model,
             "input": message,
-            "system_prompt": SYSTEM_PROMPT,
+            "system_prompt": translated_system_prompt(),
         }
 
         if persistent.disable_reasoning: