import re from smolagents import AgentMemory, CodeAgent, InferenceClientModel, FinalAnswerTool, WebSearchTool from collections.abc import Callable from smolagents.default_tools import VisitWebpageTool, WikipediaSearchTool class LLMOnlyAgent: def __init__(self): # Instructions prompt self.instructions = """finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.""" # Basic inference model model = InferenceClientModel( max_tokens=8096, model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded custom_role_conversions=None, ) # Code Agent self.agent = CodeAgent( model=model, instructions=self.instructions, tools=[FinalAnswerTool(), WikipediaSearchTool(), WebSearchTool(), VisitWebpageTool()], additional_authorized_imports=[ "markdownify" , "requests" ], max_steps=5, planning_interval=3 #final_answer_checks=self.final_answer_checks() ) print("LLM-only Agent initialized.") def __call__(self, question: str) -> str: print(f"Agent received question (first 50 chars): {question[:50]}...") answer = self.agent.run(question) print(f"Agent returning answer: {answer}") return answer def final_answer_checks(self) -> list[Callable] : return [ self.check_func ] def check_func(self, answer: str, memory: AgentMemory) -> bool: check = bool(re.match(r'^(\d+(\.\d+)?|\w+(\s+\w+){0,4}|(\d+(\.\d+)?|"[^"]*"|\w+)(\s*,\s*(\d+(\.\d+)?|"[^"]*"|\w+))+)$', answer)) print(f"FINAL ANSWER CHECK is {check}") return check