diff --git a/src/ai_client.py b/src/ai_client.py
index 47c33ded..0e3e7a7a 100644
--- a/src/ai_client.py
+++ b/src/ai_client.py
@@ -1395,7 +1395,7 @@ def _ensure_gemini_client() -> None:
   genai = _require_warmed("google.genai")
   if _gemini_client is None:
    creds = _load_credentials()
-  _gemini_client = genai.Client(api_key=creds["gemini"]["api_key"])
+   _gemini_client = genai.Client(api_key=creds["gemini"]["api_key"])
 
 def _get_gemini_history_list(chat: Any | None) -> list[Any]:
  if not chat: return []
diff --git a/src/module_loader.py b/src/module_loader.py
index f62f080f..5094111e 100644
--- a/src/module_loader.py
+++ b/src/module_loader.py
@@ -46,8 +46,23 @@ def _require_warmed(name: str) -> Any:
  In production: this is an O(1) sys.modules lookup. The 1+ second
  import cost is paid during startup on a bg thread, NOT on the first
  user-triggered AI call.
+
+ For dotted names (e.g. 'google.genai.types'), the parent packages
+ are pre-imported first. This avoids circular-import errors in libraries
+ like google-genai where importing a sub-module triggers a chain that
+ re-enters the same sub-module (e.g. google.genai._api_client does
+ 'from .types import HttpOptions' during its own initialization).
+ Without parent pre-import, that relative import would see a
+ 'partially initialized' google.genai.types in sys.modules and raise
+ ImportError.
  """
  mod = sys.modules.get(name)
  if mod is not None:
   return mod
+ if "." in name:
+  parts = name.split(".")
+  for i in range(1, len(parts)):
+   parent = ".".join(parts[:i])
+   if parent not in sys.modules:
+    importlib.import_module(parent)
  return importlib.import_module(name)
diff --git a/tests/test_discussion_compression.py b/tests/test_discussion_compression.py
index 027361c4..7f727f16 100644
--- a/tests/test_discussion_compression.py
+++ b/tests/test_discussion_compression.py
@@ -51,7 +51,14 @@ def test_discussion_compression_deepseek():
     mock_response = MagicMock()
     mock_response.json.return_value = {"choices": [{"message": {"content": "DeepSeek summary."}}]}
     
-    with patch("src.ai_client.requests.post", return_value=mock_response), \
+    # Phase 3 (startup_speedup_20260606) removed the top-level 'import requests'
+    # from src/ai_client.py. The module is now resolved via _require_warmed()
+    # at call time. We mock _require_warmed to return a fake requests module
+    # that has the .post() method.
+    mock_requests_mod = MagicMock()
+    mock_requests_mod.post.return_value = mock_response
+    
+    with patch("src.ai_client._require_warmed", return_value=mock_requests_mod), \
          patch("src.ai_client._load_credentials", return_value={"deepseek": {"api_key": "test"}}):
         result = ai_client.run_discussion_compression("DeepSeek history")