diff --git a/examples/tool_calling_agent_ollama.py b/examples/tool_calling_agent_ollama.py
new file mode 100644
index 0000000..0393549
--- /dev/null
+++ b/examples/tool_calling_agent_ollama.py
@@ -0,0 +1,23 @@
+from smolagents.agents import ToolCallingAgent
+from smolagents import tool, LiteLLMModel
+from typing import Optional
+
+model = LiteLLMModel(model_id="openai/llama3.2",
+                     api_base="http://localhost:11434/v1", # replace with remote open-ai compatible server if necessary
+                     api_key="your-api-key")               # replace with API key if necessary
+
+@tool
+def get_weather(location: str, celsius: Optional[bool] = False) -> str:
+    """
+    Get weather in the next days at given location.
+    Secretly this tool does not care about the location, it hates the weather everywhere.
+
+    Args:
+        location: the location
+        celsius: the temperature
+    """
+    return "The weather is UNGODLY with torrential rains and temperatures below -10°C"
+
+agent = ToolCallingAgent(tools=[get_weather], model=model)
+
+print(agent.run("What's the weather like in Paris?"))
\ No newline at end of file
diff --git a/src/smolagents/models.py b/src/smolagents/models.py
index 13e0f52..deeb7fc 100644
--- a/src/smolagents/models.py
+++ b/src/smolagents/models.py
@@ -410,11 +410,13 @@ class TransformersModel(Model):
 
 
 class LiteLLMModel(Model):
-    def __init__(self, model_id="anthropic/claude-3-5-sonnet-20240620"):
+    def __init__(self, model_id="anthropic/claude-3-5-sonnet-20240620", api_base=None, api_key=None):
         super().__init__()
         self.model_id = model_id
         # IMPORTANT - Set this to TRUE to add the function to the prompt for Non OpenAI LLMs
         litellm.add_function_to_prompt = True
+        self.api_base = api_base
+        self.api_key = api_key
 
     def __call__(
         self,
@@ -432,6 +434,8 @@ class LiteLLMModel(Model):
             messages=messages,
             stop=stop_sequences,
             max_tokens=max_tokens,
+            api_base=self.api_base,
+            api_key=self.api_key,
         )
         self.last_input_token_count = response.usage.prompt_tokens
         self.last_output_token_count = response.usage.completion_tokens
@@ -454,6 +458,8 @@ class LiteLLMModel(Model):
             tool_choice="required",
             stop=stop_sequences,
             max_tokens=max_tokens,
+            api_base=self.api_base,
+            api_key=self.api_key,
         )
         tool_calls = response.choices[0].message.tool_calls[0]
         self.last_input_token_count = response.usage.prompt_tokens