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/tools/base.py

@@ -25,7 +25,6 @@ import concurrent.futures
 import inspect
 from typing import Annotated, Any, Literal
 
-from google.genai import types as genai_types
 from langchain_core.tools import BaseTool, StructuredTool
 from langgraph.prebuilt import InjectedState
 from pydantic import BaseModel
@@ -148,45 +147,6 @@ class ArtemisTool:
             parameters={"type": "object", "properties": properties, "required": required},
         )
 
-    def to_genai_declaration(self) -> genai_types.FunctionDeclaration:
-        """Exports this tool to a Google GenAI FunctionDeclaration schema."""
-        flat_properties, required = self._flat_schema()
-        properties = {}
-        for prop_name, prop in flat_properties.items():
-            genai_type = _GENAI_TYPES.get(prop["type"], genai_types.Type.STRING)
-            items_schema = None
-            if genai_type == genai_types.Type.ARRAY:
-                item_type = (prop.get("items") or {}).get("type", "string")
-                items_schema = genai_types.Schema(
-                    type=_GENAI_TYPES.get(item_type, genai_types.Type.STRING)
-                )
-            properties[prop_name] = genai_types.Schema(
-                type=genai_type,
-                description=prop.get("description", ""),
-                items=items_schema,
-                enum=[str(v) for v in prop["enum"]] if prop.get("enum") else None,
-            )
-
-        return genai_types.FunctionDeclaration(
-            name=self.name,
-            description=self.description,
-            parameters=genai_types.Schema(
-                type=genai_types.Type.OBJECT,
-                properties=properties,
-                required=required,
-            ),
-        )
-
-
-_GENAI_TYPES = {
-    "string": genai_types.Type.STRING,
-    "integer": genai_types.Type.INTEGER,
-    "number": genai_types.Type.NUMBER,
-    "boolean": genai_types.Type.BOOLEAN,
-    "array": genai_types.Type.ARRAY,
-    "object": genai_types.Type.OBJECT,
-}
-
 
 def _flatten_property(prop_data: dict[str, Any]) -> dict[str, Any]:
     """One Pydantic JSON-schema property as a flat single-type entry.