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

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ed
2026-06-12 18:44:33 -04:00
parent 87cac3808f
commit e384afce9c
1 changed files with 36 additions and 33 deletions
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src/ai_client.py
+7 -4
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@@ -2299,15 +2299,16 @@ def _list_grok_models() -> list[str]:
from src.vendor_capabilities import list_models_for_vendor from src.vendor_capabilities import list_models_for_vendor
return list_models_for_vendor("grok") return list_models_for_vendor("grok")
def _send_minimax(md_content: str, user_message: str, base_dir: str, def _send_minimax_result(md_content: str, user_message: str, base_dir: str,
file_items: list[dict[str, Any]] | None = None, file_items: list[dict[str, Any]] | None = None,
discussion_history: str = "", discussion_history: str = "",
stream: bool = False, stream: bool = False,
pre_tool_callback: Optional[Callable[[str, str, Optional[Callable[[str], str]]], Optional[str]]] = None, pre_tool_callback: Optional[Callable[[str, str, Optional[Callable[[str], str]]], Optional[str]]] = None,
qa_callback: Optional[Callable[[str], str]] = None, qa_callback: Optional[Callable[[str], str]] = None,
stream_callback: Optional[Callable[[str], None]] = None, stream_callback: Optional[Callable[[str], None]] = None,
patch_callback: Optional[Callable[[str, str], Optional[str]]] = None) -> str: patch_callback: Optional[Callable[[str, str], Optional[str]]] = None) -> Result[str]:
from src.openai_compatible import OpenAICompatibleRequest from src.openai_compatible import OpenAICompatibleRequest
try:
_ensure_minimax_client() _ensure_minimax_client()
tools: list[dict[str, Any]] | None = _get_deepseek_tools() or None tools: list[dict[str, Any]] | None = _get_deepseek_tools() or None
_repair_minimax_history(_minimax_history) _repair_minimax_history(_minimax_history)
@@ -2331,14 +2332,16 @@ def _send_minimax(md_content: str, user_message: str, base_dir: str,
return choice.message.reasoning_details[0].get("text", "") or "" return choice.message.reasoning_details[0].get("text", "") or ""
return "" return ""
caps = get_capabilities("minimax", _model) caps = get_capabilities("minimax", _model)
return run_with_tool_loop( return Result(data=run_with_tool_loop(
_minimax_client, _build_minimax_request, capabilities=caps, _minimax_client, _build_minimax_request, capabilities=caps,
pre_tool_callback=pre_tool_callback, qa_callback=qa_callback, stream_callback=stream_callback, pre_tool_callback=pre_tool_callback, qa_callback=qa_callback, stream_callback=stream_callback,
patch_callback=patch_callback, base_dir=base_dir, vendor_name="minimax", patch_callback=patch_callback, base_dir=base_dir, vendor_name="minimax",
history_lock=_minimax_history_lock, history=_minimax_history, history_lock=_minimax_history_lock, history=_minimax_history,
trim_func=lambda h: _trim_minimax_history(_build_minimax_request(0).messages, h), trim_func=lambda h: _trim_minimax_history(_build_minimax_request(0).messages, h),
reasoning_extractor=_extract_minimax_reasoning if caps.reasoning else None, reasoning_extractor=_extract_minimax_reasoning if caps.reasoning else None,
) ))
except Exception as exc:
return Result(data="", errors=[_classify_minimax_error(exc, source="ai_client.minimax")])
#endregion: MiniMax Provider #endregion: MiniMax Provider