refactor(ai_client): _send_grok_result() returns Result[str]

src/ai_client.py

@@ -2247,15 +2247,16 @@ def _ensure_grok_client() -> Any:
   _grok_client = openai.OpenAI(api_key=api_key, base_url="https://api.x.ai/v1")
  return _grok_client
 
-def _send_grok(md_content: str, user_message: str, base_dir: str,
+def _send_grok_result(md_content: str, user_message: str, base_dir: str,
  file_items: list[dict[str, Any]] | None = None,
  discussion_history: str = "",
  stream: bool = False,
  pre_tool_callback: Optional[Callable[[str, str, Optional[Callable[[str], str]]], Optional[str]]] = None,
  qa_callback: Optional[Callable[[str], str]] = None,
  stream_callback: Optional[Callable[[str], None]] = None,
- patch_callback: Optional[Callable[[str, str], Optional[str]]] = None) -> str:
- from src.openai_compatible import OpenAICompatibleRequest
+ patch_callback: Optional[Callable[[str, str], Optional[str]]] = None) -> Result[str]:
+ from src.openai_compatible import OpenAICompatibleRequest, _classify_openai_compatible_error
+ try:
   client = _ensure_grok_client()
   tools: list[dict[str, Any]] | None = _get_deepseek_tools() or None
   caps = get_capabilities("grok", _model)
@@ -2285,12 +2286,14 @@ def _send_grok(md_content: str, user_message: str, base_dir: str,
     tools=tools, tool_choice="auto" if tools else "auto",
     extra_body=extra_body or None,
    )
- return run_with_tool_loop(
+  return Result(data=run_with_tool_loop(
    client, _build_grok_request, capabilities=caps,
    pre_tool_callback=pre_tool_callback, qa_callback=qa_callback, stream_callback=stream_callback,
    patch_callback=patch_callback, base_dir=base_dir, vendor_name="grok",
    history_lock=_grok_history_lock, history=_grok_history,
- )
+  ))
+ except Exception as exc:
+  return Result(data="", errors=[_classify_openai_compatible_error(exc, source="ai_client.grok")])
 
 def _list_grok_models() -> list[str]:
  from src.vendor_capabilities import list_models_for_vendor