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| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, load_tool, ManagedAgent | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| # 1. Define your custom tools | |
| def get_current_time_in_timezone(timezone: str) -> str: | |
| """A tool that fetches the current local time in a specified timezone. | |
| Args: | |
| timezone: A string representing a valid timezone (e.g., 'America/New_York'). | |
| """ | |
| try: | |
| tz = pytz.timezone(timezone) | |
| local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") | |
| return f"The current local time in {timezone} is: {local_time}" | |
| except Exception as e: | |
| return f"Error fetching time for timezone '{timezone}': {str(e)}" | |
| # 2. Setup the Model | |
| ''' | |
| model = InferenceClientModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| custom_role_conversions=None, | |
| ) | |
| ''' | |
| # HfApiModel is the updated standard for Hugging Face Hub inference | |
| from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, ManagedAgent | |
| model = HfApiModel( | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| max_tokens=2096, | |
| temperature=0.5, | |
| token=None # It will automatically use your HF_TOKEN environment variable | |
| ) | |
| # 3. Initialize Base Tools | |
| final_answer = FinalAnswerTool() | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| search_tool = DuckDuckGoSearchTool() | |
| # 4. CREATE A MANAGED AGENT (The "Worker") | |
| # A managed agent needs a 'name' and 'description' so the manager knows how to call it. | |
| web_search_agent = CodeAgent( | |
| model=model, | |
| tools=[search_tool], | |
| name="web_search_agent", | |
| description="Useful for searching the internet for current events, news, or specific facts." | |
| ) | |
| managed_web_agent = ManagedAgent( | |
| agent=web_search_agent, | |
| name="web_search", | |
| description="Runs web searches for you. Give it a detailed query as a task." | |
| ) | |
| # 5. Load system prompt | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| # 6. CREATE THE MANAGER AGENT | |
| # We pass the managed_web_agent into 'managed_agents' | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, get_current_time_in_timezone, image_generation_tool], | |
| managed_agents=[managed_web_agent], # Manager can now delegate to the search agent | |
| max_steps=10, # Increased steps to allow for delegation overhead | |
| verbosity_level=1, | |
| prompt_templates=prompt_templates | |
| ) | |
| # 7. Launch UI | |
| GradioUI(agent).launch() |