diff --git a/pyproject.toml b/pyproject.toml
index 7528a2ecc9..65efbcd680 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,7 +11,7 @@ dependencies = [
     # Core Dependencies
     "pydantic>=2.4.2",
     "openai>=1.13.3",
-    "litellm==1.60.2",
+    "litellm==1.66.3",
     "instructor>=1.3.3",
     # Text Processing
     "pdfplumber>=0.11.4",
diff --git a/tests/litellm_update_test.py b/tests/litellm_update_test.py
new file mode 100644
index 0000000000..c242cad52d
--- /dev/null
+++ b/tests/litellm_update_test.py
@@ -0,0 +1,48 @@
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from crewai.llm import LLM
+
+
+def test_llm_call_with_litellm_1_66_3():
+    """Test that the LLM class works with litellm v1.66.3+"""
+    llm = LLM(
+        model="gpt-3.5-turbo",
+        temperature=0.7,
+        max_tokens=50,
+        stop=["STOP"],
+        presence_penalty=0.1,
+        frequency_penalty=0.1,
+    )
+    messages = [{"role": "user", "content": "Say 'Hello, World!' and then say STOP"}]
+
+    with patch("litellm.completion") as mocked_completion:
+        mock_message = MagicMock()
+        mock_message.content = "Hello, World! I won't say the stop word."
+        mock_choice = MagicMock()
+        mock_choice.message = mock_message
+        mock_response = MagicMock()
+        mock_response.choices = [mock_choice]
+        mock_response.usage = {
+            "prompt_tokens": 10,
+            "completion_tokens": 10,
+            "total_tokens": 20,
+        }
+
+        mocked_completion.return_value = mock_response
+
+        response = llm.call(messages)
+
+        mocked_completion.assert_called_once()
+
+        assert "Hello, World!" in response
+        assert "STOP" not in response
+
+        _, kwargs = mocked_completion.call_args
+        assert kwargs["model"] == "gpt-3.5-turbo"
+        assert kwargs["temperature"] == 0.7
+        assert kwargs["max_tokens"] == 50
+        assert kwargs["stop"] == ["STOP"]
+        assert kwargs["presence_penalty"] == 0.1
+        assert kwargs["frequency_penalty"] == 0.1
diff --git a/uv.lock b/uv.lock
index d9c9d5c66f..83164c68d9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,4 @@
 version = 1
-revision = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
     "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform == 'darwin'",
@@ -715,7 +714,7 @@ requires-dist = [
     { name = "json-repair", specifier = ">=0.25.2" },
     { name = "json5", specifier = ">=0.10.0" },
     { name = "jsonref", specifier = ">=1.1.0" },
-    { name = "litellm", specifier = "==1.60.2" },
+    { name = "litellm", specifier = "==1.66.3" },
     { name = "mem0ai", marker = "extra == 'mem0'", specifier = ">=0.1.29" },
     { name = "openai", specifier = ">=1.13.3" },
     { name = "openpyxl", specifier = ">=3.1.5" },
@@ -735,7 +734,6 @@ requires-dist = [
     { name = "tomli-w", specifier = ">=1.1.0" },
     { name = "uv", specifier = ">=0.4.25" },
 ]
-provides-extras = ["tools", "embeddings", "agentops", "fastembed", "pdfplumber", "pandas", "openpyxl", "mem0", "docling", "aisuite"]
 
 [package.metadata.requires-dev]
 dev = [
@@ -2266,7 +2264,7 @@ wheels = [
 
 [[package]]
 name = "litellm"
-version = "1.60.2"
+version = "1.66.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
@@ -2281,9 +2279,9 @@ dependencies = [
     { name = "tiktoken" },
     { name = "tokenizers" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/94/8f/704cdb0fdbdd49dc5062a39ae5f1a8f308ae0ffd746df6e0137fc1776b8a/litellm-1.60.2.tar.gz", hash = "sha256:a8170584fcfd6f5175201d869e61ccd8a40ffe3264fc5e53c5b805ddf8a6e05a", size = 6447447 }
+sdist = { url = "https://files.pythonhosted.org/packages/0a/10/e5f4824ce69d83c2208397a6522df50e0132ca626779101580121b9d342b/litellm-1.66.3.tar.gz", hash = "sha256:909564f5dc33d7dac236de6cc8066512834467bcebe3494a664d72ae6506a5ca", size = 7223923 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/8a/ba/0eaec9aee9f99fdf46ef1c0bddcfe7f5720b182f84f6ed27f13145d5ded2/litellm-1.60.2-py3-none-any.whl", hash = "sha256:1cb08cda04bf8c5ef3e690171a779979e4b16a5e3a24cd8dc1f198e7f198d5c4", size = 6746809 },
+    { url = "https://files.pythonhosted.org/packages/20/a1/5e44417a06f3fecdfb164d0774992301293ad73a67763e49c6b97ed61db2/litellm-1.66.3-py3-none-any.whl", hash = "sha256:f1c662afec14225cee3bae7c93961857edf13fcece42fe46d921d9df50f70dd2", size = 7582219 },
 ]
 
 [[package]]
@@ -2988,6 +2986,7 @@ name = "nvidia-nccl-cu12"
 version = "2.20.5"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/bb/d09dda47c881f9ff504afd6f9ca4f502ded6d8fc2f572cacc5e39da91c28/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01", size = 176238458 },
     { url = "https://files.pythonhosted.org/packages/4b/2a/0a131f572aa09f741c30ccd45a8e56316e8be8dfc7bc19bf0ab7cfef7b19/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56", size = 176249402 },
 ]
 
@@ -2997,6 +2996,7 @@ version = "12.6.85"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9d/d7/c5383e47c7e9bf1c99d5bd2a8c935af2b6d705ad831a7ec5c97db4d82f4f/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a", size = 19744971 },
+    { url = "https://files.pythonhosted.org/packages/31/db/dc71113d441f208cdfe7ae10d4983884e13f464a6252450693365e166dcf/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41", size = 19270338 },
 ]
 
 [[package]]