Fix import sorting in litellm_patch.py

Co-Authored-By: Joe Moura <joao@crewai.com>

pyproject.toml

@@ -53,8 +53,6 @@ openpyxl = [
 mem0 = ["mem0ai>=0.1.29"]
 docling = [
     "docling>=2.12.0",
-    # Required for transformers compatibility
-    "tokenizers>=0.21,<0.22",
 ]
 
 [tool.uv]

src/crewai/knowledge/source/crew_docling_source.py

@@ -15,15 +15,8 @@ from crewai.utilities.logger import Logger
 
 
 class CrewDoclingSource(BaseKnowledgeSource):
-    """Default Source class for converting documents to Markdown or JSON
-    This will auto support PDF, DOCX, TXT, XLSX, Images, and HTML files without any additional dependencies and follows the docling package as the source of truth.
-    
-    Requirements:
-        - Install with: `pip install crewai[docling]`
-        - Requires tokenizers>=0.21,<0.22 for transformers compatibility
-    
-    Notes:
-        - This is an optional dependency, only needed for document processing features.
+    """Default Source class for converting documents to markdown or json
+    This will auto support PDF, DOCX, and TXT, XLSX, Images, and HTML files without any additional dependencies and follows the docling package as the source of truth.
     """
 
     _logger: Logger = Logger(verbose=True)

src/crewai/patches/__init__.py

@@ -0,0 +1,11 @@
+"""
+Patches module for CrewAI.
+
+This module contains patches for external dependencies to fix known issues.
+
+Version: 1.0.0
+"""
+
+from crewai.patches.litellm_patch import apply_patches, patch_litellm_ollama_pt
+
+__all__ = ["apply_patches", "patch_litellm_ollama_pt"]

src/crewai/patches/litellm_patch.py

@@ -0,0 +1,186 @@
+"""
+Patch for litellm to fix IndexError in ollama_pt function.
+
+This patch addresses issue #2744 in the crewAI repository, where an IndexError occurs
+in litellm's Ollama prompt template function when CrewAI Agent with Tools uses Ollama/Qwen models.
+
+Version: 1.0.0
+"""
+
+import json
+import logging
+from typing import Any, Dict, List, Optional, Tuple, Union
+
+# Set up logging
+logger = logging.getLogger(__name__)
+
+# Patch version
+PATCH_VERSION = "1.0.0"
+
+
+class PatchApplicationError(Exception):
+    """Exception raised when a patch fails to apply."""
+    pass
+
+
+def apply_patches() -> bool:
+    """
+    Apply all patches to fix known issues with dependencies.
+    
+    Returns:
+        bool: True if all patches were applied successfully, False otherwise.
+    """
+    success = patch_litellm_ollama_pt()
+    logger.info(f"LiteLLM ollama_pt patch applied: {success}")
+    return success
+
+
+def patch_litellm_ollama_pt() -> bool:
+    """
+    Patch the ollama_pt function in litellm to fix IndexError.
+    
+    The issue occurs when accessing messages[msg_i].get("tool_calls") without checking
+    if msg_i is within bounds of the messages list. This happens after tool execution
+    during the next LLM call.
+    
+    Returns:
+        bool: True if the patch was applied successfully, False otherwise.
+    
+    Raises:
+        PatchApplicationError: If there's an error during patch application.
+    """
+    try:
+        # Import the module containing the function to patch
+        import litellm.litellm_core_utils.prompt_templates.factory as factory
+        
+        # Define a patched version of the function
+        def patched_ollama_pt(model: str, messages: List[Dict]) -> Dict[str, Any]:
+            """
+            Patched version of ollama_pt that adds bounds checking.
+            
+            This fixes the IndexError that occurs when the assistant message is the last
+            message in the list and msg_i goes out of bounds.
+            
+            Args:
+                model: The model name.
+                messages: The list of messages to process.
+                
+            Returns:
+                Dict containing the prompt and images.
+            """
+            user_message_types = {"user", "tool", "function"}
+            msg_i = 0
+            images: List[str] = []
+            prompt = ""
+            
+            # Handle empty messages list
+            if not messages:
+                return {"prompt": prompt, "images": images}
+                
+            while msg_i < len(messages):
+                init_msg_i = msg_i
+                user_content_str = ""
+                ## MERGE CONSECUTIVE USER CONTENT ##
+                while msg_i < len(messages) and messages[msg_i]["role"] in user_message_types:
+                    msg_content = messages[msg_i].get("content")
+                    if msg_content:
+                        if isinstance(msg_content, list):
+                            for m in msg_content:
+                                if m.get("type", "") == "image_url":
+                                    if isinstance(m["image_url"], str):
+                                        images.append(m["image_url"])
+                                    elif isinstance(m["image_url"], dict):
+                                        images.append(m["image_url"]["url"])
+                                elif m.get("type", "") == "text":
+                                    user_content_str += m["text"]
+                        else:
+                            # Tool message content will always be a string
+                            user_content_str += msg_content
+
+                    msg_i += 1
+
+                if user_content_str:
+                    prompt += f"### User:\n{user_content_str}\n\n"
+
+                system_content_str, msg_i = factory._handle_ollama_system_message(
+                    messages, prompt, msg_i
+                )
+                if system_content_str:
+                    prompt += f"### System:\n{system_content_str}\n\n"
+
+                assistant_content_str = ""
+                ## MERGE CONSECUTIVE ASSISTANT CONTENT ##
+                while msg_i < len(messages) and messages[msg_i]["role"] == "assistant":
+                    assistant_content_str += factory.convert_content_list_to_str(messages[msg_i])
+                    msg_i += 1
+
+                    # Add bounds check before accessing messages[msg_i]
+                    # This is the key fix for the IndexError
+                    if msg_i < len(messages):
+                        tool_calls = messages[msg_i].get("tool_calls")
+                        ollama_tool_calls = []
+                        if tool_calls:
+                            for call in tool_calls:
+                                call_id = call["id"]
+                                function_name = call["function"]["name"]
+                                arguments = json.loads(call["function"]["arguments"])
+
+                                ollama_tool_calls.append(
+                                    {
+                                        "id": call_id,
+                                        "type": "function",
+                                        "function": {
+                                            "name": function_name,
+                                            "arguments": arguments,
+                                        },
+                                    }
+                                )
+
+                        if ollama_tool_calls:
+                            assistant_content_str += (
+                                f"Tool Calls: {json.dumps(ollama_tool_calls, indent=2)}"
+                            )
+
+                            msg_i += 1
+
+                if assistant_content_str:
+                    prompt += f"### Assistant:\n{assistant_content_str}\n\n"
+
+                if msg_i == init_msg_i:  # prevent infinite loops
+                    raise factory.litellm.BadRequestError(
+                        message=factory.BAD_MESSAGE_ERROR_STR + f"passed in {messages[msg_i]}",
+                        model=model,
+                        llm_provider="ollama",
+                    )
+
+            response_dict = {
+                "prompt": prompt,
+                "images": images,
+            }
+
+            return response_dict
+        
+        # Replace the original function with our patched version
+        factory.ollama_pt = patched_ollama_pt
+        
+        logger.info(f"Successfully applied litellm ollama_pt patch version {PATCH_VERSION}")
+        return True
+    except Exception as e:
+        error_msg = f"Failed to apply litellm ollama_pt patch: {e}"
+        logger.error(error_msg)
+        return False
+
+
+# For backwards compatibility
+def patch_litellm() -> bool:
+    """
+    Legacy function for backwards compatibility.
+    
+    Returns:
+        bool: True if the patch was applied successfully, False otherwise.
+    """
+    try:
+        return patch_litellm_ollama_pt()
+    except Exception as e:
+        logger.error(f"Failed to apply legacy litellm patch: {e}")
+        return False

tests/patches/test_litellm_patch.py

@@ -0,0 +1,71 @@
+"""
+Test for the litellm patch that fixes the IndexError in ollama_pt function.
+"""
+
+import sys
+import unittest
+from unittest.mock import MagicMock, patch
+
+import litellm
+import pytest
+from litellm.litellm_core_utils.prompt_templates.factory import ollama_pt
+
+from crewai.patches.litellm_patch import patch_litellm_ollama_pt
+
+
+class TestLitellmPatch(unittest.TestCase):
+    def test_ollama_pt_patch_fixes_index_error(self):
+        """Test that the patch fixes the IndexError in ollama_pt."""
+        # Create a message list where the assistant message is the last one
+        messages = [
+            {"role": "user", "content": "Hello"},
+            {"role": "assistant", "content": "Hi there"},
+        ]
+        
+        # Store the original function to restore it after the test
+        original_ollama_pt = litellm.litellm_core_utils.prompt_templates.factory.ollama_pt
+        
+        try:
+            # Apply the patch
+            success = patch_litellm_ollama_pt()
+            self.assertTrue(success, "Patch application failed")
+            
+            # Use the function from the module directly to ensure we're using the patched version
+            result = litellm.litellm_core_utils.prompt_templates.factory.ollama_pt("qwen3:4b", messages)
+            
+            # Verify the result is as expected
+            self.assertIn("prompt", result)
+            self.assertIn("images", result)
+            self.assertIn("### User:\nHello", result["prompt"])
+            self.assertIn("### Assistant:\nHi there", result["prompt"])
+        finally:
+            # Restore the original function to avoid affecting other tests
+            litellm.litellm_core_utils.prompt_templates.factory.ollama_pt = original_ollama_pt
+    
+    def test_ollama_pt_patch_with_empty_messages(self):
+        """Test that the patch handles empty message lists."""
+        messages = []
+        
+        # Store the original function to restore it after the test
+        original_ollama_pt = litellm.litellm_core_utils.prompt_templates.factory.ollama_pt
+        
+        try:
+            # Apply the patch
+            success = patch_litellm_ollama_pt()
+            self.assertTrue(success, "Patch application failed")
+            
+            # Use the function from the module directly to ensure we're using the patched version
+            result = litellm.litellm_core_utils.prompt_templates.factory.ollama_pt("qwen3:4b", messages)
+            
+            # Verify the result is as expected
+            self.assertIn("prompt", result)
+            self.assertIn("images", result)
+            self.assertEqual("", result["prompt"])
+            self.assertEqual([], result["images"])
+        finally:
+            # Restore the original function to avoid affecting other tests
+            litellm.litellm_core_utils.prompt_templates.factory.ollama_pt = original_ollama_pt
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_tokenizers_compatibility.py

@@ -1,26 +0,0 @@
-"""Test suite to verify compatibility between tokenizers and transformers packages.
-Ensures the installed tokenizers version meets requirements and can work effectively with transformers.
-"""
-
-import pytest
-
-
-def test_tokenizers_transformers_compatibility():
-    """Test that the installed tokenizers version is compatible with transformers."""
-    try:
-        import tokenizers
-        import transformers
-    except ImportError:
-        pytest.skip("tokenizers or transformers not installed")
-    
-    tokenizers_version = tokenizers.__version__
-    transformers_version = transformers.__version__
-    
-    tokenizers_major, tokenizers_minor, _ = map(int, tokenizers_version.split('.'))
-    
-    assert tokenizers_major == 0, f"Expected tokenizers major version 0, got {tokenizers_major}"
-    assert tokenizers_minor >= 21, f"Expected tokenizers minor version >=21, got {tokenizers_minor}"
-    assert tokenizers_minor < 22, f"Expected tokenizers minor version <22, got {tokenizers_minor}"
-    
-    print(f"Tokenizers version: {tokenizers_version}")
-    print(f"Transformers version: {transformers_version}")

uv.lock

@@ -1,18 +1,10 @@
 version = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "python_full_version < '3.11' and sys_platform == 'darwin'",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12.4' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.11'",
+    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4'",
+    "python_full_version >= '3.12.4'",
 ]
 
 [[package]]
@@ -308,7 +300,7 @@ name = "build"
 version = "1.2.2.post1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "(os_name == 'nt' and platform_machine != 'aarch64' and sys_platform == 'linux') or (os_name == 'nt' and sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "colorama", marker = "os_name == 'nt'" },
     { name = "importlib-metadata", marker = "python_full_version < '3.10.2'" },
     { name = "packaging" },
     { name = "pyproject-hooks" },
@@ -543,7 +535,7 @@ name = "click"
 version = "8.1.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 }
 wheels = [
@@ -650,6 +642,7 @@ tools = [
 [package.dev-dependencies]
 dev = [
     { name = "cairosvg" },
+    { name = "crewai-tools" },
     { name = "mkdocs" },
     { name = "mkdocs-material" },
     { name = "mkdocs-material-extensions" },
@@ -703,6 +696,7 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
     { name = "cairosvg", specifier = ">=2.7.1" },
+    { name = "crewai-tools", specifier = ">=0.17.0" },
     { name = "mkdocs", specifier = ">=1.4.3" },
     { name = "mkdocs-material", specifier = ">=9.5.7" },
     { name = "mkdocs-material-extensions", specifier = ">=1.3.1" },
@@ -2468,7 +2462,7 @@ version = "1.6.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "click" },
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
     { name = "ghp-import" },
     { name = "jinja2" },
     { name = "markdown" },
@@ -2649,7 +2643,7 @@ version = "2.10.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pygments" },
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
     { name = "tqdm" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/3a/93/80ac75c20ce54c785648b4ed363c88f148bf22637e10c9863db4fbe73e74/mpire-2.10.2.tar.gz", hash = "sha256:f66a321e93fadff34585a4bfa05e95bd946cf714b442f51c529038eb45773d97", size = 271270 }
@@ -2896,7 +2890,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741 },
@@ -2923,9 +2917,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/bc/1d/8de1e5c67099015c834315e333911273a8c6aaba78923dd1d1e25fc5f217/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd", size = 124161928 },
@@ -2936,7 +2930,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.1.0.106"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c", size = 195958278 },
@@ -3486,7 +3480,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -5028,19 +5022,19 @@ dependencies = [
     { name = "fsspec" },
     { name = "jinja2" },
     { name = "networkx" },
-    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
     { name = "sympy" },
-    { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "triton", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
     { name = "typing-extensions" },
 ]
 wheels = [
@@ -5087,7 +5081,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
 wheels = [
@@ -5130,7 +5124,7 @@ version = "0.27.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "attrs" },
-    { name = "cffi", marker = "(implementation_name != 'pypy' and os_name == 'nt' and platform_machine != 'aarch64' and sys_platform == 'linux') or (implementation_name != 'pypy' and os_name == 'nt' and sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "cffi", marker = "implementation_name != 'pypy' and os_name == 'nt'" },
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "idna" },
     { name = "outcome" },
@@ -5161,7 +5155,7 @@ name = "triton"
 version = "3.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "filelock", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/45/27/14cc3101409b9b4b9241d2ba7deaa93535a217a211c86c4cc7151fb12181/triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a", size = 209376304 },