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import os
from dotenv import load_dotenv
from langchain.chat_models import init_chat_model
# Import the @tool decorated functions (not the classes)
from src.agents.log_analysis_agent.tools.shodan_tool import shodan_lookup
from src.agents.log_analysis_agent.tools.virustotal_tool import (
virustotal_lookup,
virustotal_metadata_search,
)
from src.agents.log_analysis_agent.tools.fieldreducer_tool import fieldreducer
from src.agents.log_analysis_agent.tools.event_id_extractor_tool import (
event_id_extractor,
)
from src.agents.log_analysis_agent.tools.timeline_builder_tool import timeline_builder
from src.agents.log_analysis_agent.tools.decoder_tool import decoder
# ----- LLM Setup -----
def get_llm():
"""Initialize and return the LLM instance (without tools)"""
load_dotenv()
return init_chat_model(
"google_genai:gemini-2.0-flash",
temperature=0.1,
)
# ----- Tool Setup -----
def get_tools():
"""Return list of available tools for the agent"""
return [
shodan_lookup,
virustotal_lookup,
virustotal_metadata_search,
fieldreducer,
event_id_extractor,
timeline_builder,
decoder,
]
def get_llm_with_tools():
"""Initialize and return LLM with tools bound"""
llm = get_llm()
tools = get_tools()
return llm.bind_tools(tools)
# ----- Helper Functions -----
def format_execution_time(total_seconds: float) -> dict:
"""Format execution time into a readable format"""
minutes = int(total_seconds // 60)
seconds = total_seconds % 60
return {
"total_seconds": round(total_seconds, 2),
"formatted_time": (
f"{minutes}m {seconds:.2f}s" if minutes > 0 else f"{seconds:.2f}s"
),
}
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