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import os
from dotenv import load_dotenv
from langgraph.graph import START, StateGraph, MessagesState
from langgraph.prebuilt import tools_condition
from langgraph.prebuilt import ToolNode
from langchain_groq import ChatGroq
from langchain_community.tools import DuckDuckGoSearchResults
from langchain_community.document_loaders import WikipediaLoader
from langchain_core.messages import SystemMessage, HumanMessage
from langchain_core.tools import tool
from langchain_core.output_parsers import StrOutputParser
load_dotenv()
@tool
def wiki_search(query: str) -> str:
"""Search Wikipedia for a query and return maximum 2 results.
Args:
query: The search query."""
search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
formatted_search_docs = "\n\n---\n\n".join(
[
f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
for doc in search_docs
])
return {"wiki_results": formatted_search_docs}
@tool
def web_search(query: str) -> str:
"""Search DuckDuckGo for a query and return maximum 3 results.
Args:
query: The search query."""
search_docs = DuckDuckGoSearchResults(max_results=3).invoke(query)
return {"web_results": search_docs}
system_prompt = "You are a helpful assistant"
sys_msg = SystemMessage(content=system_prompt)
tools = [
wiki_search,
web_search,
]
llm = ChatGroq(model="qwen-qwq-32b", temperature=0)
llm_with_tools = llm.bind_tools(tools)
def assistant(state: MessagesState):
"""Assistant node"""
return {"messages": [llm_with_tools.invoke(state["messages"])]}
builder = StateGraph(MessagesState)
builder.add_node("assistant", assistant)
builder.add_node("tools", ToolNode(tools))
builder.add_edge(START, "assistant")
builder.add_conditional_edges(
"assistant",
tools_condition,
)
builder.add_edge("tools", "assistant")
graph = builder.compile()
def get_answer(query):
messages = [HumanMessage(content=query)]
messages = graph.invoke({"messages": messages})
return result["messages"][-1]["content"]
if __name__ == "__main__":
question = "In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?"
messages = [HumanMessage(content=question)]
messages = graph.invoke({"messages": messages})
for m in messages["messages"]:
m.pretty_print()
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