test(ai_client_tool_loop): adapt mock to return Result[NormalizedResponse] (doeh cleanup Phase 2.4)

tests/test_ai_client_tool_loop_builder.py

@@ -9,6 +9,7 @@ from typing import Any
 from unittest.mock import MagicMock, patch
 from src.openai_compatible import NormalizedResponse, OpenAICompatibleRequest
 from src.ai_client import run_with_tool_loop
+from src.result_types import Result
 from src.vendor_capabilities import VendorCapabilities
 
 def _make_normalized_response(text: str = "ok", tool_calls: list[dict[str, Any]] | None = None) -> NormalizedResponse:
@@ -30,7 +31,7 @@ def test_run_with_tool_loop_calls_request_builder_each_round() -> None:
  def builder(round_idx: int) -> OpenAICompatibleRequest:
   builder_calls.append(round_idx)
   return OpenAICompatibleRequest(messages=[{"role": "user", "content": f"round={round_idx}"}], model="m")
- with patch("src.openai_compatible.send_openai_compatible", side_effect=[tool_response, final]), \
+ with patch("src.openai_compatible.send_openai_compatible", side_effect=[Result(data=tool_response), Result(data=final)]), \
       patch("src.ai_client._execute_tool_calls_concurrently", return_value=[("noop", "c1", "r", "")]):
   result = run_with_tool_loop(
    client, builder, capabilities=caps,