Update agents.py
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agents.py
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from smolagents import (CodeAgent,
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GradioUI,
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LiteLLMModel,
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OpenAIServerModel,
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ChatMessage,
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ToolCallingAgent)
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from smolagents.default_tools import (DuckDuckGoSearchTool,
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VisitWebpageTool,
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WikipediaSearchTool,
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SpeechToTextTool,
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PythonInterpreterTool)
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import yaml
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from final_answer import FinalAnswerTool, check_reasoning, ensure_formatting
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from tools import (youtube_frames_to_images, use_vision_model,
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read_file, download_file_from_url,
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extract_text_from_image, analyze_csv_file,
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analyze_excel_file, youtube_transcribe,
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transcribe_audio, review_youtube_video)
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import os
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from dotenv import load_dotenv
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import time
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load_dotenv()
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# Load prompts from YAML file
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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class SlowLiteLLMModel(LiteLLMModel):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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def __call__(self, messages, **kwargs) -> ChatMessage:
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time.sleep(15)
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# prepend onto whatever messages the Agent built
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return super().__call__(messages, **kwargs)
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react_model_name = "gemini/gemini-2.5-flash-preview-04-17"
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react_model = LiteLLMModel(model_id=react_model_name,
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api_key=os.getenv("GEMINI_KEY"),
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temperature=0.2
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)
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manager_agent = CodeAgent(
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model=react_model,
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tools=[FinalAnswerTool(),
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DuckDuckGoSearchTool(),
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VisitWebpageTool(max_output_length=500000),
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WikipediaSearchTool(extract_format='HTML'),
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SpeechToTextTool(),
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youtube_frames_to_images,
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youtube_transcribe,
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use_vision_model,
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read_file, download_file_from_url,
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extract_text_from_image,
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analyze_csv_file, analyze_excel_file,
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transcribe_audio,
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review_youtube_video
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],
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managed_agents=[],
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additional_authorized_imports=['os', 'pandas', 'numpy', 'PIL', 'tempfile', 'PIL.Image'],
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max_steps=20,
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verbosity_level=1,
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planning_interval=6,
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name="Manager",
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description="The manager of the team, responsible for overseeing and guiding the team's work.",
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final_answer_checks=[check_reasoning, ensure_formatting],
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prompt_templates=prompt_templates
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)
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if __name__ == "__main__":
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GradioUI(manager_agent).launch()
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