dropped for clarity

docs/docs.json

@@ -76,7 +76,9 @@
               "concepts/testing",
               "concepts/cli",
               "concepts/tools",
-              "concepts/event-listener"
+              "concepts/event-listener",
+              "concepts/langchain-tools",
+              "concepts/llamaindex-tools"
             ]
           },
           {
@@ -95,9 +97,7 @@
               "how-to/kickoff-async",
               "how-to/kickoff-for-each",
               "how-to/replay-tasks-from-latest-crew-kickoff",
-              "how-to/conditional-tasks",
-              "how-to/langchain-tools",
-              "how-to/llamaindex-tools"
+              "how-to/conditional-tasks"
             ]
           },
           {
@@ -196,11 +196,6 @@
           "anchor": "Community",
           "href": "https://community.crewai.com",
           "icon": "discourse"
-        },
-        {
-          "anchor": "Tutorials",
-          "href": "https://www.youtube.com/@crewAIInc",
-          "icon": "youtube"
         }
       ]
     }

docs/installation.mdx

@@ -4,21 +4,6 @@ description: Get started with CrewAI - Install, configure, and build your first
 icon: wrench
 ---
 
-## Video Tutorial
-Watch this video tutorial for a step-by-step demonstration of the installation process:
-
-<iframe
-  width="100%"
-  height="400"
-  src="https://www.youtube.com/embed/-kSOTtYzgEw"
-  title="CrewAI Installation Guide"
-  frameborder="0"
-  style={{ borderRadius: '10px' }}
-  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
-  allowfullscreen
-></iframe>
-
-## Text Tutorial
 <Note>
   **Python Version Requirements**
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "crewai"
-version = "0.114.0"
+version = "0.108.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 readme = "README.md"
 requires-python = ">=3.10,<3.13"

src/crewai/__init__.py

@@ -17,7 +17,7 @@ warnings.filterwarnings(
     category=UserWarning,
     module="pydantic.main",
 )
-__version__ = "0.114.0"
+__version__ = "0.108.0"
 __all__ = [
     "Agent",
     "Crew",

src/crewai/cli/templates/crew/main.py

@@ -60,7 +60,7 @@ def test():
         "current_year": str(datetime.now().year)
     }
     try:
-        {{crew_name}}().crew().test(n_iterations=int(sys.argv[1]), eval_llm=sys.argv[2], inputs=inputs)
+        {{crew_name}}().crew().test(n_iterations=int(sys.argv[1]), openai_model_name=sys.argv[2], inputs=inputs)
 
     except Exception as e:
         raise Exception(f"An error occurred while testing the crew: {e}")

src/crewai/cli/templates/crew/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "crewai[tools]>=0.114.0,<1.0.0"
+    "crewai[tools]>=0.108.0,<1.0.0"
 ]
 
 [project.scripts]

src/crewai/cli/templates/flow/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "crewai[tools]>=0.114.0,<1.0.0",
+    "crewai[tools]>=0.108.0,<1.0.0",
 ]
 
 [project.scripts]

src/crewai/cli/templates/tool/pyproject.toml

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "crewai[tools]>=0.114.0"
+    "crewai[tools]>=0.108.0"
 ]
 
 [tool.crewai]

src/crewai/llm.py

@@ -5,7 +5,6 @@ import sys
 import threading
 import warnings
 from contextlib import contextmanager
-from types import SimpleNamespace
 from typing import (
     Any,
     Dict,
@@ -372,8 +371,6 @@ class LLM(BaseLLM):
         last_chunk = None
         chunk_count = 0
         usage_info = None
-        tool_calls = None
-        accumulated_tool_args = {}  # Track tool call arguments by index
 
         # --- 2) Make sure stream is set to True and include usage metrics
         params["stream"] = True
@@ -395,6 +392,7 @@ class LLM(BaseLLM):
                     if isinstance(chunk, dict) and "choices" in chunk:
                         choices = chunk["choices"]
                     elif hasattr(chunk, "choices"):
+                        # Check if choices is not a type but an actual attribute with value
                         if not isinstance(getattr(chunk, "choices"), type):
                             choices = getattr(chunk, "choices")
 
@@ -402,97 +400,14 @@ class LLM(BaseLLM):
                     if isinstance(chunk, dict) and "usage" in chunk:
                         usage_info = chunk["usage"]
                     elif hasattr(chunk, "usage"):
+                        # Check if usage is not a type but an actual attribute with value
                         if not isinstance(getattr(chunk, "usage"), type):
                             usage_info = getattr(chunk, "usage")
 
                     if choices and len(choices) > 0:
                         choice = choices[0]
 
-                        # Check for tool calls in the chunk
-                        if "delta" in choice:
-                            delta = choice["delta"]
-                            if "tool_calls" in delta:
-                                tool_calls = delta["tool_calls"]
-                                # If we have tool calls and available functions, accumulate arguments
-                                if tool_calls and available_functions:
-                                    for tool_call in tool_calls:
-                                        if hasattr(tool_call, "index"):
-                                            index = tool_call.index
-                                            if index not in accumulated_tool_args:
-                                                accumulated_tool_args[index] = {
-                                                    "name": None,
-                                                    "arguments": "",
-                                                }
-
-                                            # Update tool call name if available
-                                            if hasattr(
-                                                tool_call, "function"
-                                            ) and hasattr(tool_call.function, "name"):
-                                                if tool_call.function.name:
-                                                    accumulated_tool_args[index][
-                                                        "name"
-                                                    ] = tool_call.function.name
-
-                                            # Accumulate arguments
-                                            if hasattr(
-                                                tool_call, "function"
-                                            ) and hasattr(
-                                                tool_call.function, "arguments"
-                                            ):
-                                                if tool_call.function.arguments:
-                                                    accumulated_tool_args[index][
-                                                        "arguments"
-                                                    ] += tool_call.function.arguments
-
-                                            # Check if we have a complete tool call
-                                            if (
-                                                accumulated_tool_args[index]["name"]
-                                                and accumulated_tool_args[index][
-                                                    "arguments"
-                                                ]
-                                            ):
-                                                try:
-                                                    # Try to parse the accumulated arguments
-                                                    json.loads(
-                                                        accumulated_tool_args[index][
-                                                            "arguments"
-                                                        ]
-                                                    )
-                                                    # Execute the tool call
-                                                    tool_result = self._handle_tool_call(
-                                                        [
-                                                            SimpleNamespace(
-                                                                function=SimpleNamespace(
-                                                                    name=accumulated_tool_args[
-                                                                        index
-                                                                    ][
-                                                                        "name"
-                                                                    ],
-                                                                    arguments=accumulated_tool_args[
-                                                                        index
-                                                                    ][
-                                                                        "arguments"
-                                                                    ],
-                                                                ),
-                                                            )
-                                                        ],
-                                                        available_functions,
-                                                    )
-
-                                                    if tool_result is not None:
-                                                        # Stream the tool result
-                                                        crewai_event_bus.emit(
-                                                            self,
-                                                            event=LLMStreamChunkEvent(
-                                                                chunk=tool_result
-                                                            ),
-                                                        )
-                                                        return tool_result
-                                                except json.JSONDecodeError:
-                                                    # If JSON is incomplete, continue accumulating
-                                                    continue
-
-                        # Handle different delta formats for content
+                        # Handle different delta formats
                         delta = None
                         if isinstance(choice, dict) and "delta" in choice:
                             delta = choice["delta"]
@@ -501,13 +416,17 @@ class LLM(BaseLLM):
 
                         # Extract content from delta
                         if delta:
+                            # Handle dict format
                             if isinstance(delta, dict):
                                 if "content" in delta and delta["content"] is not None:
                                     chunk_content = delta["content"]
+                            # Handle object format
                             elif hasattr(delta, "content"):
                                 chunk_content = getattr(delta, "content")
 
+                            # Handle case where content might be None or empty
                             if chunk_content is None and isinstance(delta, dict):
+                                # Some models might send empty content chunks
                                 chunk_content = ""
                 except Exception as e:
                     logging.debug(f"Error extracting content from chunk: {e}")
@@ -515,7 +434,10 @@ class LLM(BaseLLM):
 
                 # Only add non-None content to the response
                 if chunk_content is not None:
+                    # Add the chunk content to the full response
                     full_response += chunk_content
+
+                    # Emit the chunk event
                     crewai_event_bus.emit(
                         self,
                         event=LLMStreamChunkEvent(chunk=chunk_content),
@@ -528,7 +450,9 @@ class LLM(BaseLLM):
                 )
                 non_streaming_params = params.copy()
                 non_streaming_params["stream"] = False
-                non_streaming_params.pop("stream_options", None)
+                non_streaming_params.pop(
+                    "stream_options", None
+                )  # Remove stream_options for non-streaming call
                 return self._handle_non_streaming_response(
                     non_streaming_params, callbacks, available_functions
                 )
@@ -540,6 +464,7 @@ class LLM(BaseLLM):
                 )
                 if last_chunk is not None:
                     try:
+                        # Try to extract content from the last chunk's message
                         choices = None
                         if isinstance(last_chunk, dict) and "choices" in last_chunk:
                             choices = last_chunk["choices"]
@@ -549,6 +474,8 @@ class LLM(BaseLLM):
 
                         if choices and len(choices) > 0:
                             choice = choices[0]
+
+                            # Try to get content from message
                             message = None
                             if isinstance(choice, dict) and "message" in choice:
                                 message = choice["message"]
@@ -573,14 +500,57 @@ class LLM(BaseLLM):
                             f"Last chunk format: {type(last_chunk)}, content: {last_chunk}"
                         )
 
-            # --- 6) If still empty, raise an error
+            # --- 6) If still empty, raise an error instead of using a default response
             if not full_response.strip():
                 raise Exception(
                     "No content received from streaming response. Received empty chunks or failed to extract content."
                 )
 
-            # --- 7) Log token usage and emit completion event
+            # --- 7) Check for tool calls in the final response
+            tool_calls = None
+            try:
+                if last_chunk:
+                    choices = None
+                    if isinstance(last_chunk, dict) and "choices" in last_chunk:
+                        choices = last_chunk["choices"]
+                    elif hasattr(last_chunk, "choices"):
+                        if not isinstance(getattr(last_chunk, "choices"), type):
+                            choices = getattr(last_chunk, "choices")
+
+                    if choices and len(choices) > 0:
+                        choice = choices[0]
+
+                        message = None
+                        if isinstance(choice, dict) and "message" in choice:
+                            message = choice["message"]
+                        elif hasattr(choice, "message"):
+                            message = getattr(choice, "message")
+
+                        if message:
+                            if isinstance(message, dict) and "tool_calls" in message:
+                                tool_calls = message["tool_calls"]
+                            elif hasattr(message, "tool_calls"):
+                                tool_calls = getattr(message, "tool_calls")
+            except Exception as e:
+                logging.debug(f"Error checking for tool calls: {e}")
+
+            # --- 8) If no tool calls or no available functions, return the text response directly
+            if not tool_calls or not available_functions:
+                # Log token usage if available in streaming mode
+                self._handle_streaming_callbacks(callbacks, usage_info, last_chunk)
+                # Emit completion event and return response
+                self._handle_emit_call_events(full_response, LLMCallType.LLM_CALL)
+                return full_response
+
+            # --- 9) Handle tool calls if present
+            tool_result = self._handle_tool_call(tool_calls, available_functions)
+            if tool_result is not None:
+                return tool_result
+
+            # --- 10) Log token usage if available in streaming mode
             self._handle_streaming_callbacks(callbacks, usage_info, last_chunk)
+
+            # --- 11) Emit completion event and return response
             self._handle_emit_call_events(full_response, LLMCallType.LLM_CALL)
             return full_response
 
@@ -591,6 +561,7 @@ class LLM(BaseLLM):
                 self._handle_emit_call_events(full_response, LLMCallType.LLM_CALL)
                 return full_response
 
+            # Emit failed event and re-raise the exception
             crewai_event_bus.emit(
                 self,
                 event=LLMCallFailedEvent(error=str(e)),

src/crewai/tools/base_tool.py

@@ -244,13 +244,9 @@ def to_langchain(
     return [t.to_structured_tool() if isinstance(t, BaseTool) else t for t in tools]
 
 
-def tool(*args, result_as_answer=False):
+def tool(*args):
     """
     Decorator to create a tool from a function.
-    
-    Args:
-        *args: Positional arguments, either the function to decorate or the tool name.
-        result_as_answer: Flag to indicate if the tool result should be used as the final agent answer.
     """
 
     def _make_with_name(tool_name: str) -> Callable:
@@ -276,7 +272,6 @@ def tool(*args, result_as_answer=False):
                 description=f.__doc__,
                 func=f,
                 args_schema=args_schema,
-                result_as_answer=result_as_answer,
             )
 
         return _make_tool

tests/tools/test_base_tool.py

@@ -100,25 +100,3 @@ def test_default_cache_function_is_true():
     my_tool = MyCustomTool()
     # Assert all the right attributes were defined
     assert my_tool.cache_function()
-
-
-def test_result_as_answer_in_tool_decorator():
-    @tool("Tool with result as answer", result_as_answer=True)
-    def my_tool_with_result_as_answer(question: str) -> str:
-        """This tool will return its result as the final answer."""
-        return question
-    
-    assert my_tool_with_result_as_answer.result_as_answer is True
-    
-    converted_tool = my_tool_with_result_as_answer.to_structured_tool()
-    assert converted_tool.result_as_answer is True
-    
-    @tool("Tool with default result_as_answer")
-    def my_tool_with_default(question: str) -> str:
-        """This tool uses the default result_as_answer value."""
-        return question
-    
-    assert my_tool_with_default.result_as_answer is False
-    
-    converted_tool = my_tool_with_default.to_structured_tool()
-    assert converted_tool.result_as_answer is False

uv.lock

@@ -1,42 +1,19 @@
 version = 1
+revision = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform == 'darwin'",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
-    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
-    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
-    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12.4' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' 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 == '3.11.*' 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')",
 ]
 
 [[package]]
@@ -344,7 +321,7 @@ name = "build"
 version = "1.2.2.post1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "os_name == 'nt'" },
+    { 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 = "importlib-metadata", marker = "python_full_version < '3.10.2'" },
     { name = "packaging" },
     { name = "pyproject-hooks" },
@@ -579,7 +556,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "platform_system == 'Windows'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
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 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -630,7 +607,7 @@ wheels = [
 
 [[package]]
 name = "crewai"
-version = "0.114.0"
+version = "0.108.0"
 source = { editable = "." }
 dependencies = [
     { name = "appdirs" },
@@ -745,6 +722,7 @@ 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"]
 
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 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "click" },
-    { name = "colorama", marker = "platform_system == 'Windows'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
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     { name = "jinja2" },
     { name = "markdown" },
@@ -2699,7 +2677,7 @@ version = "2.10.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pygments" },
-    { name = "pywin32", marker = "platform_system == 'Windows'" },
+    { name = "pywin32", marker = "sys_platform == 'win32'" },
     { name = "tqdm" },
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@@ -2946,7 +2924,7 @@ name = "nvidia-cudnn-cu12"
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 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 wheels = [
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@@ -2973,9 +2951,9 @@ name = "nvidia-cusolver-cu12"
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-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { 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')" },
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@@ -2986,7 +2964,7 @@ 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 platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
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 wheels = [
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@@ -2997,7 +2975,6 @@ name = "nvidia-nccl-cu12"
 version = "2.20.5"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
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 [[package]]
@@ -3525,7 +3501,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "platform_system == 'Windows'" },
+    { name = "pywin32", marker = "sys_platform == 'win32'" },
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 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
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-    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
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-    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { 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'" },
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+    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
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+    { 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 = "sympy" },
-    { name = "triton", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
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 ]
 wheels = [
@@ -5091,7 +5067,7 @@ name = "tqdm"
 version = "4.66.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "platform_system == 'Windows'" },
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 sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
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