Spaces:
Runtime error
Runtime error
File size: 3,102 Bytes
beb1eb8 d046ba6 3ed16ee d046ba6 f5078a2 d046ba6 f5078a2 d046ba6 beb1eb8 d046ba6 beb1eb8 d046ba6 39cd847 d046ba6 f5078a2 d046ba6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 |
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_community.tools.duckduckgo_search import DuckDuckGoSearchResults
from langchain_community.document_loaders import WikipediaLoader, ArxivLoader
from langchain_core.messages import SystemMessage, HumanMessage
from langchain_core.tools import tool
from langchain_google_genai import ChatGoogleGenerativeAI
load_dotenv()
GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
# --- Define Tools ---
@tool
def multiply(a: int, b: int) -> int:
"""Multiplies two numbers."""
return a * b
@tool
def add(a: int, b: int) -> int:
"""Adds two numbers."""
return a + b
@tool
def subtract(a: int, b: int) -> int:
"""Subtracts two numbers."""
return a - b
@tool
def divide(a: int, b: int) -> float:
"""Divides two numbers."""
if b == 0:
raise ValueError("Cannot divide by zero.")
return a / b
@tool
def modulo(a: int, b: int) -> int:
"""Returns the remainder of dividing two numbers."""
return a % b
@tool
def wiki_search(query: str) -> str:
"""Search Wikipedia for a query and return up to 2 results."""
search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
formatted = "\n\n---\n\n".join(
[f'<Document source="{doc.metadata["source"]}">\n{doc.page_content}\n</Document>'
for doc in search_docs]
)
return formatted
@tool
def arxiv_search(query: str) -> str:
"""Search Arxiv for scientific papers matching the query."""
search_docs = ArxivLoader(query=query, load_max_docs=3).load()
formatted = "\n\n---\n\n".join(
[f'<Document source="{doc.metadata["source"]}">\n{doc.page_content[:1000]}\n</Document>'
for doc in search_docs]
)
return formatted
@tool
def web_search(query: str) -> str:
"""Search the web using DuckDuckGo."""
search = DuckDuckGoSearchResults()
return search.run(query)
# --- Load System Prompt ---
with open("system_prompt.txt", "r", encoding="utf-8") as f:
system_prompt = f.read()
sys_msg = SystemMessage(content=system_prompt)
# --- Define Tools List ---
tools = [
multiply,
add,
subtract,
divide,
modulo,
wiki_search,
arxiv_search,
web_search,
]
# --- Build Graph Function ---
def build_graph():
llm = ChatGoogleGenerativeAI(
model="gemini-2.0-flash",
google_api_key=GOOGLE_API_KEY,
temperature=0,
max_output_tokens=2048,
system_message=sys_msg
)
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")
return builder.compile() |