fix(crews): validate inputs type before dict conversion

- Add explicit type check for Mapping in prepare_kickoff to raise
  TypeError with clear message instead of ValueError from dict()
- Update test_kickoff_for_each_invalid_input to expect TypeError
- Fix test_multimodal_flag_adds_multimodal_tools to mock LLM's
  supports_multimodal() since AddImageTool is only added when
  the LLM doesn't natively support multimodal content

lib/crewai/src/crewai/crews/utils.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 import asyncio
-from collections.abc import Callable, Coroutine, Iterable
+from collections.abc import Callable, Coroutine, Iterable, Mapping
 from typing import TYPE_CHECKING, Any
 
 from crewai.agents.agent_builder.base_agent import BaseAgent
@@ -246,7 +246,13 @@ def prepare_kickoff(
         reset_last_event_id()
 
     # Normalize inputs to dict[str, Any] for internal processing
-    normalized: dict[str, Any] | None = dict(inputs) if inputs is not None else None
+    normalized: dict[str, Any] | None = None
+    if inputs is not None:
+        if not isinstance(inputs, Mapping):
+            raise TypeError(
+                f"inputs must be a dict or Mapping, got {type(inputs).__name__}"
+            )
+        normalized = dict(inputs)
 
     for before_callback in crew.before_kickoff_callbacks:
         if normalized is None:

lib/crewai/tests/test_crew.py

@@ -1346,8 +1346,8 @@ def test_kickoff_for_each_invalid_input():
 
     crew = Crew(agents=[agent], tasks=[task])
 
-    with pytest.raises(pydantic_core._pydantic_core.ValidationError):
+    with pytest.raises(TypeError, match="inputs must be a dict or Mapping"):
-        # Pass a string instead of a list
+        # Pass a string instead of a dict
         crew.kickoff_for_each(["invalid input"])
 
 
@@ -3944,7 +3944,8 @@ def test_task_tools_preserve_code_execution_tools():
 @pytest.mark.vcr()
 def test_multimodal_flag_adds_multimodal_tools():
     """
-    Test that an agent with multimodal=True automatically has multimodal tools added to the task execution.
+    Test that an agent with multimodal=True automatically has multimodal tools added
+    when the LLM does not natively support multimodal content.
     """
     # Create an agent that supports multimodal
     multimodal_agent = Agent(
@@ -3970,9 +3971,13 @@ def test_multimodal_flag_adds_multimodal_tools():
     )
 
     # Mock execute_sync to verify the tools passed at runtime
-    with patch.object(
+    # Mock supports_multimodal to return False so AddImageTool gets added
-        Task, "execute_sync", return_value=mock_task_output
+    with (
-    ) as mock_execute_sync:
+        patch.object(Task, "execute_sync", return_value=mock_task_output) as mock_execute_sync,
+        patch.object(
+            multimodal_agent.llm, "supports_multimodal", return_value=False
+        ),
+    ):
         crew.kickoff()
 
         # Get the tools that were actually used in execution
@@ -3981,7 +3986,7 @@ def test_multimodal_flag_adds_multimodal_tools():
 
         # Check that the multimodal tool was added
         assert any(isinstance(tool, AddImageTool) for tool in used_tools), (
-            "AddImageTool should be present when agent is multimodal"
+            "AddImageTool should be present when agent is multimodal and LLM doesn't support it natively"
         )
 
         # Verify we have exactly one tool (just the AddImageTool)