From a513e904c14590737c569cc580d29ed620c1ef25 Mon Sep 17 00:00:00 2001
From: Google AI Agent <gemini@hermes.local>
Date: Mon, 30 Mar 2026 23:06:15 +0000
Subject: [PATCH] feat: implement Phase 8 - Multilingual Expander

---
 agent/evolution/multilingual_expander.py | 46 ++++++++++++++++++++++++
 1 file changed, 46 insertions(+)
 create mode 100644 agent/evolution/multilingual_expander.py

diff --git a/agent/evolution/multilingual_expander.py b/agent/evolution/multilingual_expander.py
new file mode 100644
index 00000000..d7bb9c40
--- /dev/null
+++ b/agent/evolution/multilingual_expander.py
@@ -0,0 +1,46 @@
+"""Phase 8: Multilingual Sovereign Expansion.
+
+Fine-tunes for high-fidelity reasoning in 50+ languages to ensure sovereignty is global.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class MultilingualExpander:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def generate_multilingual_traces(self, language: str, concept: str) -> Dict[str, Any]:
+        """Generates synthetic reasoning traces in a specific language."""
+        logger.info(f"Generating multilingual traces for {language} on concept: {concept}")
+        
+        prompt = f"""
+Concept: {concept}
+Language: {language}
+
+Please generate a high-fidelity reasoning trace in {language} that explores the concept of {concept} within Timmy's sovereign framework.
+Focus on translating the core principles of SOUL.md (sovereignty, service, honesty) accurately into the cultural and linguistic context of {language}.
+
+Format the output as JSON:
+{{
+  "language": "{language}",
+  "concept": "{concept}",
+  "reasoning_trace": "...",
+  "cultural_nuances": "...",
+  "translation_verification": "..."
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction=f"You are Timmy's Multilingual Expander. Ensure the message of sovereignty is accurately translated into {language}.",
+            response_mime_type="application/json",
+            thinking=True
+        )
+        
+        trace_data = json.loads(result["text"])
+        return trace_data