feat: add Chinese UI, Responses models, and mirrored Windows setup

Localize the web console and persist custom model and capability settings.
Use OpenAI Responses exclusively and move runtime limits into environment configuration.
Bootstrap uv and the virtual environment on Windows, support optional China mirrors,
and package source distributions without environments, build output, or credentials.

Update regression tests and repository quality checks for the new behavior.

artemis/agents/flash/runner.py

@@ -14,8 +14,7 @@
 
 """Universal Multi-Model FlashRunner for Artemis.
 
-Executes autonomous reactive mobile workflows across Google Gemini,
-OpenAI GPT-4o/o3, Anthropic Claude 3.5/3.7, and OpenRouter endpoints.
+Executes autonomous reactive mobile workflows through OpenAI Responses.
 
 Conversation shape (shared with the Pro operator, history redesign §3.2):
 the prompt is built every turn from a session :class:`TranscriptLedger` —
@@ -38,6 +37,7 @@ active window until its turn is chunked, whose user lines then carry it on.
 """
 
 import asyncio
+from artemis.config.settings import settings
 import base64
 from dataclasses import dataclass, field
 import json
@@ -83,7 +83,7 @@ from artemis.memory.transcript import PRO_UI_LIST_MARKER, TranscriptLedger, mark
 from artemis.services.llm import (
     RobustChatModelWrapper,
     acomplete,
-    get_google_llm,
+    get_openai_llm,
     get_llm,
     invoke_llm_with_timeout_message,
 )
@@ -284,7 +284,9 @@ class FlashRunner:
         except Exception as e:
             logger.warning(f"Failed to get operator LLM from config, using default: {e}")
 
-            return RobustChatModelWrapper(get_google_llm(model_name="gemini-2.5-flash"), self.ctx)
+            return RobustChatModelWrapper(
+                get_openai_llm(model_name=settings.OPENAI_MODEL), self.ctx
+            )
 
     def _render_system_prompt(self, tools_declaration: list) -> str:
         """Renders the system prompt from the flash_runner.md template.