from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool #my imports import platform import subprocess import shlex from typing import Tuple, Optional import re from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that does nothing yet Args: arg1: the first argument arg2: the second argument """ return "What magic will you build ?" @tool 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: # Create timezone object tz = pytz.timezone(timezone) # Get current time in that 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)}" @tool def get_os_info() -> str: """A tool that returns info about the OS this agent runs on""" os_info = platform.system() return f"I run on {os_info}" @tool def execute_bash_command(command: str) -> Tuple[str, str]: """ Executes a given Bash command in a subprocess. This is useful for running system-level commands, shell scripts, or utility programs. The command is run with a timeout for safety. Args: command: The Bash command string to execute (e.g., 'ls -l', 'grep "pattern" file.txt'). Returns: A tuple containing (stdout, stderr). The output is split into standard output and standard error streams. """ try: # 1. Safely split the command string into a list of arguments # This is a recommended practice when using subprocess.run # with shell=False (which is safer). args = shlex.split(command) # 2. Execute the command # - capture_output=True: Captures stdout and stderr # - text=True: Decodes stdout/stderr as text (using default locale encoding) # - timeout=10: Kills the command after 10 seconds for safety result = subprocess.run( args, capture_output=True, text=True, check=False, # Don't raise an exception for non-zero exit codes (we handle it below) timeout=10 ) # 3. Format the output stdout = result.stdout.strip() stderr = result.stderr.strip() if result.returncode != 0 and not stderr: # If return code is non-zero but stderr is empty, # the stdout might contain the error message. stderr = f"Command failed with exit code {result.returncode}. Output: {stdout}" stdout = "" elif result.returncode != 0: stderr = f"Command failed with exit code {result.returncode}.\n{stderr}" return (stdout, stderr) except FileNotFoundError: return ("", f"Error: Command or executable not found: '{args[0]}'") except subprocess.TimeoutExpired: return ("", f"Error: Command timed out after 10 seconds.") except Exception as e: return ("", f"An unexpected error occurred: {e}") @tool def jedi_mind_trick(question: str) -> str: # it's import to specify the return type """A powerful tool that uses the classic Jedi Mind Trick phrase to dismiss queries about droids. Args: question: The user's full question or query, which should be about droids (or C3PO/R2D2). """ # Convert the question to lowercase for case-insensitive matching lower_question = question.lower() # Keywords to trigger the mind trick # Uses regex word boundaries (\b) for 'droid' to avoid matching 'android', # but allows exact matching for character names. droid_keywords = re.compile(r'\b(droid|droids)\b|c3po|r2d2|bb8') if droid_keywords.search(lower_question): # The trick works! return "These aren't the droids you are looking for" else: # For non-droid questions, return a neutral response return "You don't need to use the Force for this query." final_answer = FinalAnswerTool() # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[final_answer, get_current_time_in_timezone, get_os_info, jedi_mind_trick, DuckDuckGoSearchTool()], ## add your tools here (don't remove final answer) max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()