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import re |
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from smolagents import AgentMemory, CodeAgent, InferenceClientModel, FinalAnswerTool, WebSearchTool |
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from collections.abc import Callable |
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from smolagents.default_tools import VisitWebpageTool, WikipediaSearchTool |
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class LLMOnlyAgent: |
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def __init__(self): |
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self.instructions = """finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. |
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YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. |
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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. |
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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. |
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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.""" |
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model = InferenceClientModel( |
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max_tokens=8096, |
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', |
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custom_role_conversions=None, |
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) |
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self.agent = CodeAgent( |
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model=model, |
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instructions=self.instructions, |
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tools=[FinalAnswerTool(), WikipediaSearchTool(), WebSearchTool(), VisitWebpageTool()], |
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additional_authorized_imports=[ "markdownify" , "requests" ], |
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max_steps=5, |
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planning_interval=3 |
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) |
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print("LLM-only Agent initialized.") |
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def __call__(self, question: str) -> str: |
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print(f"Agent received question (first 50 chars): {question[:50]}...") |
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answer = self.agent.run(question) |
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print(f"Agent returning answer: {answer}") |
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return answer |
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def final_answer_checks(self) -> list[Callable] : |
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return [ self.check_func ] |
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def check_func(self, answer: str, memory: AgentMemory) -> bool: |
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check = bool(re.match(r'^(\d+(\.\d+)?|\w+(\s+\w+){0,4}|(\d+(\.\d+)?|"[^"]*"|\w+)(\s*,\s*(\d+(\.\d+)?|"[^"]*"|\w+))+)$', answer)) |
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print(f"FINAL ANSWER CHECK is {check}") |
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return check |
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