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from google.genai import types
from CEO.CEO import GeminiManager
from CEO.tool_loader import ToolLoader
if __name__ == "__main__":
# Define the tool metadata for orchestration.
# Load the tools using the ToolLoader class.
tool_loader = ToolLoader()
model_manager = GeminiManager(toolsLoader=tool_loader, gemini_model="gemini-2.0-flash")
task_prompt = (
"Give me a 3 stanza 4 line poem about drake vs kendrick lamar in old english style. Also, can you create a short story with the moral slow and steady wins the race?"
)
# Request a CEO response with the prompt.
user_prompt_content = types.Content(
role='user',
parts=[types.Part.from_text(text=task_prompt)],
)
response = model_manager.request([user_prompt_content])
print("\nCEO Response:", response)
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