code cleanup
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@ -4,7 +4,6 @@ from langchain.agents import AgentExecutor, create_react_agent
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from langchain.tools import tool
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from langchain.tools import tool
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from tools import dalle, tcp_dump, get_adapter_interface, ip_loc, pcap_summary
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from tools import dalle, tcp_dump, get_adapter_interface, ip_loc, pcap_summary
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from langchain import hub
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from langchain import hub
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from langchain_community.tools import ShellTool
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from langsmith import Client
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from langsmith import Client
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from dotenv import load_dotenv
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from dotenv import load_dotenv
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@ -15,11 +14,10 @@ Main rag tool-chain application. Simply load the tools and prompt the user.
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"""
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"""
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_PROJECT"] = f"LangSmith Introduction"
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os.environ["LANGCHAIN_PROJECT"] = f"Final Project"
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os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
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os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
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client = Client()
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client = Client()
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shell_tool = ShellTool()
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llm = ChatOpenAI(model_name="gpt-4o", temperature=0)
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llm = ChatOpenAI(model_name="gpt-4o", temperature=0)
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tools = []
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tools = []
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tools.extend([tcp_dump, ip_loc, dalle, pcap_summary, get_adapter_interface])
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tools.extend([tcp_dump, ip_loc, dalle, pcap_summary, get_adapter_interface])
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@ -6,7 +6,6 @@ from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain.tools import tool
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from langchain.tools import tool
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from langchain_community.tools import ShellTool
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from langchain_community.tools import ShellTool
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from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
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from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
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from scapy import *
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import requests
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import requests
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from scapy.all import rdpcap, wrpcap
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from scapy.all import rdpcap, wrpcap
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from scapy.layers.inet import IP, TCP, UDP, Packet, PacketList
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from scapy.layers.inet import IP, TCP, UDP, Packet, PacketList
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