Fix #2541: Add support for multimodal content format in qwen2.5-vl model

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

tests/test_qwen_multimodal.py

@@ -0,0 +1,31 @@
+import pytest
+from crewai.llm import LLM
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_qwen_multimodal_content_formatting():
+    """Test that multimodal content is properly formatted for Qwen models."""
+    
+    llm = LLM(model="sambanova/Qwen2.5-72B-Instruct", temperature=0.7)
+    
+    message = {"role": "user", "content": "Describe this image"}
+    formatted = llm._format_messages_for_provider([message])
+    assert isinstance(formatted[0]["content"], list)
+    assert formatted[0]["content"][0]["type"] == "text"
+    assert formatted[0]["content"][0]["text"] == "Describe this image"
+    
+    multimodal_content = [
+        {"type": "text", "text": "What's in this image?"}, 
+        {"type": "image_url", "image_url": "https://example.com/image.jpg"}
+    ]
+    message = {"role": "user", "content": multimodal_content}
+    formatted = llm._format_messages_for_provider([message])
+    assert formatted[0]["content"] == multimodal_content
+    
+    messages = [
+        {"role": "system", "content": "You are a visual analysis assistant."},
+        {"role": "user", "content": multimodal_content}
+    ]
+    formatted = llm._format_messages_for_provider(messages)
+    assert isinstance(formatted[0]["content"], list)
+    assert formatted[1]["content"] == multimodal_content