diff --git a/CHANGELOG.md b/CHANGELOG.md
index 616290c..62f4c37 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -23,6 +23,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   and initialize it to start the flow.
 - All examples have been updated to align with the API changes.
 
+### Fixed
+
+- Fixed an issue where importing the Flows module would require OpenAI,
+  Anthropic, and Google LLM modules.
+
 ## [0.0.9] - 2024-12-08
 
 ### Changed
diff --git a/dev-requirements.txt b/dev-requirements.txt
index 38842c6..f464368 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -4,4 +4,5 @@ pytest~=8.3.2
 pytest-asyncio~=0.23.5
 pytest-cov~=4.1.0
 ruff~=0.6.7
-setuptools~=72.2.0
\ No newline at end of file
+setuptools~=72.2.0
+python-dotenv~=1.0.1
\ No newline at end of file
diff --git a/src/pipecat_flows/adapters.py b/src/pipecat_flows/adapters.py
index 1406a59..0aee1ed 100644
--- a/src/pipecat_flows/adapters.py
+++ b/src/pipecat_flows/adapters.py
@@ -282,8 +282,8 @@ def create_adapter(llm) -> LLMAdapter:
         if isinstance(llm, OpenAILLMService):
             logger.debug("Creating OpenAI adapter")
             return OpenAIAdapter()
-    except ImportError:
-        pass
+    except ImportError as e:
+        logger.debug(f"OpenAI import failed: {e}")
 
     # Try Anthropic
     try:
@@ -292,8 +292,8 @@ def create_adapter(llm) -> LLMAdapter:
         if isinstance(llm, AnthropicLLMService):
             logger.debug("Creating Anthropic adapter")
             return AnthropicAdapter()
-    except ImportError:
-        pass
+    except ImportError as e:
+        logger.debug(f"Anthropic import failed: {e}")
 
     # Try Google
     try:
@@ -302,8 +302,8 @@ def create_adapter(llm) -> LLMAdapter:
         if isinstance(llm, GoogleLLMService):
             logger.debug("Creating Google adapter")
             return GeminiAdapter()
-    except ImportError:
-        pass
+    except ImportError as e:
+        logger.debug(f"Google import failed: {e}")
 
     # If we get here, either the LLM type is not supported or the required dependency is not installed
     llm_type = type(llm).__name__