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Update agent.py
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agent.py
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@@ -17,6 +17,27 @@ 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. 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 rules above for each element (number or string), ensure there is exactly one space after each comma.
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Your answer should only start with "FINAL ANSWER: ", then follows with the answer. """
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GPT_4o_API_KEY = os.environ["META_LLAMA_4_MAVERICK"]
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# GPT_4o_API_KEY = os.environ["GPT_4o_API_KEY"]
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TAVILY_API_KEY = os.environ["TAVILY_API_KEY"]
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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. 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 rules above for each element (number or string), ensure there is exactly one space after each comma.
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Your answer should only start with "FINAL ANSWER: ", then follows with the answer. """
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import os
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import json
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import torch
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import base64
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import requests
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import mimetypes
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from PIL import Image
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from langchain_core.tools import tool
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from tavily import TavilyClient
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from dataclasses import dataclass, field
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from langchain_openai import ChatOpenAI
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from langgraph.graph import StateGraph, START, END, MessagesState
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from langchain_experimental.utilities import PythonREPL
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from langchain_core.messages import SystemMessage, HumanMessage
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from typing import TypedDict, List, Dict, Any, Optional, Annotated
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from transformers import Blip2Processor, Blip2ForConditionalGeneration
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from langchain_community.document_loaders import WikipediaLoader
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from langchain_community.document_loaders import ArxivLoader
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from langgraph.prebuilt import ToolNode, tools_condition
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from langchain_core.messages import SystemMessage, HumanMessage
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GPT_4o_API_KEY = os.environ["META_LLAMA_4_MAVERICK"]
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# GPT_4o_API_KEY = os.environ["GPT_4o_API_KEY"]
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TAVILY_API_KEY = os.environ["TAVILY_API_KEY"]
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