"""
Reproduction script for issue #3082 - Ollama response_format error.
This script reproduces the original issue and verifies the fix.
"""

from pydantic import BaseModel
from crewai.llm import LLM
from crewai import Agent

class GuideOutline(BaseModel):
    title: str
    sections: list[str]

def test_original_issue():
    """Test the original issue scenario from the GitHub issue."""
    print("Testing original issue scenario...")
    
    try:
        llm = LLM(model="ollama/gemma3:latest", response_format=GuideOutline)
        print("✅ LLM creation with response_format succeeded")
        
        params = llm._prepare_completion_params("Test message")
        if "response_format" not in params or params.get("response_format") is None:
            print("✅ response_format correctly filtered out for Ollama model")
        else:
            print("❌ response_format was not filtered out")
            
        agent = Agent(
            role="Guide Creator",
            goal="Create comprehensive guides",
            backstory="You are an expert at creating structured guides",
            llm=llm
        )
        print("✅ Agent creation with Ollama LLM succeeded")
        
    except ValueError as e:
        if "does not support response_format" in str(e):
            print(f"❌ Original issue still exists: {e}")
            return False
        else:
            print(f"❌ Unexpected ValueError: {e}")
            return False
    except Exception as e:
        print(f"❌ Unexpected error: {e}")
        return False
    
    return True

def test_non_ollama_models():
    """Test that non-Ollama models still work with response_format."""
    print("\nTesting non-Ollama models...")
    
    try:
        llm = LLM(model="gpt-4", response_format=GuideOutline)
        params = llm._prepare_completion_params("Test message")
        
        if params.get("response_format") == GuideOutline:
            print("✅ Non-Ollama models still include response_format")
            return True
        else:
            print("❌ Non-Ollama models missing response_format")
            return False
            
    except Exception as e:
        print(f"❌ Error with non-Ollama model: {e}")
        return False

if __name__ == "__main__":
    print("Testing Ollama response_format fix...")
    
    success1 = test_original_issue()
    success2 = test_non_ollama_models()
    
    if success1 and success2:
        print("\n🎉 All tests passed! The fix is working correctly.")
    else:
        print("\n💥 Some tests failed. The fix needs more work.")