diff --git a/dsp/utils/settings.py b/dsp/utils/settings.py
index 1fed723683..009c7b6c9c 100644
--- a/dsp/utils/settings.py
+++ b/dsp/utils/settings.py
@@ -1,6 +1,6 @@
 import threading
-from copy import deepcopy
 from contextlib import contextmanager
+from copy import deepcopy
 
 from dsp.utils.utils import dotdict
 
@@ -24,7 +24,6 @@
     experimental=False,
     backoff_time=10,
     callbacks=[],
-    suppress_debug_info=True,
 )
 
 
diff --git a/dspy/clients/__init__.py b/dspy/clients/__init__.py
index 9692a9a974..dc10f865fb 100644
--- a/dspy/clients/__init__.py
+++ b/dspy/clients/__init__.py
@@ -10,7 +10,15 @@
 DISK_CACHE_DIR = os.environ.get("DSPY_CACHEDIR") or os.path.join(Path.home(), ".dspy_cache")
 litellm.cache = Cache(disk_cache_dir=DISK_CACHE_DIR, type="disk")
 litellm.telemetry = False
+# Turn off by default to avoid LiteLLM logging during every LM call.
+litellm.suppress_debug_info = True
 
 if "LITELLM_LOCAL_MODEL_COST_MAP" not in os.environ:
-    # accessed at run time by litellm; i.e., fine to keep after import
+    # Accessed at run time by litellm; i.e., fine to keep after import
     os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+
+def enable_litellm_logging():
+    litellm.suppress_debug_info = False
+
+def disable_litellm_logging():
+    litellm.suppress_debug_info = True
diff --git a/dspy/clients/lm.py b/dspy/clients/lm.py
index ac891841c3..4964d73173 100644
--- a/dspy/clients/lm.py
+++ b/dspy/clients/lm.py
@@ -9,7 +9,6 @@
 import litellm
 import ujson
 
-import dspy
 from dspy.adapters.base import Adapter
 from dspy.clients.openai import OpenAIProvider
 from dspy.clients.provider import Provider, TrainingJob
@@ -70,9 +69,6 @@ def __init__(
         self.num_retries = num_retries
         self.finetuning_model = finetuning_model
 
-        #turned off by default to avoid LiteLLM logging during every LM call
-        litellm.suppress_debug_info = dspy.settings.suppress_debug_info
-
         # TODO(bug): Arbitrary model strings could include the substring "o1-".
         # We should find a more robust way to check for the "o1-" family models.
         if "o1-" in model: