diff --git a/libs/langchain/langchain/tools/eleven_labs/text2speech.py b/libs/langchain/langchain/tools/eleven_labs/text2speech.py
index 216fb8143d..170a078a8b 100644
--- a/libs/langchain/langchain/tools/eleven_labs/text2speech.py
+++ b/libs/langchain/langchain/tools/eleven_labs/text2speech.py
@@ -1,20 +1,28 @@
 import tempfile
-from typing import TYPE_CHECKING, Dict, Optional, Union
+from enum import Enum
+from typing import Any, Dict, Optional, Union
 
 from langchain.callbacks.manager import CallbackManagerForToolRun
 from langchain.pydantic_v1 import root_validator
 from langchain.tools.base import BaseTool
-from langchain.tools.eleven_labs.models import ElevenLabsModel
 from langchain.utils import get_from_dict_or_env
 
-if TYPE_CHECKING:
+
+def _import_elevenlabs() -> Any:
     try:
         import elevenlabs
-
-    except ImportError:
+    except ImportError as e:
         raise ImportError(
-            "elevenlabs is not installed. " "Run `pip install elevenlabs` to install."
-        )
+            "Cannot import elevenlabs, please install `pip install elevenlabs`."
+        ) from e
+    return elevenlabs
+
+
+class ElevenLabsModel(str, Enum):
+    """Models available for Eleven Labs Text2Speech."""
+
+    MULTI_LINGUAL = "eleven_multilingual_v1"
+    MONO_LINGUAL = "eleven_monolingual_v1"
 
 
 class ElevenLabsText2SpeechTool(BaseTool):
@@ -41,24 +49,24 @@ class ElevenLabsText2SpeechTool(BaseTool):
 
         return values
 
-    def _text2speech(self, text: str) -> str:
-        speech = elevenlabs.generate(text=text, model=self.model)
-        with tempfile.NamedTemporaryFile(mode="bx", suffix=".wav", delete=False) as f:
-            f.write(speech)
-        return f.name
-
     def _run(
         self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None
     ) -> str:
         """Use the tool."""
+        elevenlabs = _import_elevenlabs()
         try:
-            speech_file = self._text2speech(query)
-            return speech_file
+            speech = elevenlabs.generate(text=query, model=self.model)
+            with tempfile.NamedTemporaryFile(
+                mode="bx", suffix=".wav", delete=False
+            ) as f:
+                f.write(speech)
+            return f.name
         except Exception as e:
             raise RuntimeError(f"Error while running ElevenLabsText2SpeechTool: {e}")
 
     def play(self, speech_file: str) -> None:
         """Play the text as speech."""
+        elevenlabs = _import_elevenlabs()
         with open(speech_file, mode="rb") as f:
             speech = f.read()
 
@@ -67,5 +75,6 @@ class ElevenLabsText2SpeechTool(BaseTool):
     def stream_speech(self, query: str) -> None:
         """Stream the text as speech as it is generated.
         Play the text in your speakers."""
+        elevenlabs = _import_elevenlabs()
         speech_stream = elevenlabs.generate(text=query, model=self.model, stream=True)
         elevenlabs.stream(speech_stream)