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from typing import Dict, Any, List, TypedDict, Optional
from langgraph.graph import Graph, StateGraph
from langgraph.prebuilt import ToolNode
from duckduckgo_search import DDGS
class CalculatorInput(TypedDict):
operation: str
numbers: List[float]
class CalculatorOutput(TypedDict):
result: float
operation: str
class CalculatorState(TypedDict):
input: CalculatorInput
output: Optional[CalculatorOutput]
class SearchInput(TypedDict):
query: str
max_results: int
class SearchResult(TypedDict):
title: str
link: str
snippet: str
class SearchOutput(TypedDict):
results: List[SearchResult]
query: str
class SearchState(TypedDict):
input: SearchInput # Now typed correctly
output: Optional[SearchOutput]
def create_calculator_tool() -> Graph:
"""Creates a calculator tool using LangGraph that can perform basic arithmetic operations."""
print("Creating calculator tool")
def calculator_function(state: CalculatorState) -> Dict[str, Any]:
print("Calculator function called")
input_data = state["input"]
if len(input_data["numbers"]) < 2:
raise ValueError("At least two numbers are required for calculation")
result = input_data["numbers"][0]
for num in input_data["numbers"][1:]:
if input_data["operation"] == "add":
result += num
elif input_data["operation"] == "subtract":
result -= num
elif input_data["operation"] == "multiply":
result *= num
elif input_data["operation"] == "divide":
if num == 0:
raise ValueError("Cannot divide by zero")
result /= num
else:
raise ValueError(f"Unsupported operation: {input_data['operation']}")
return {
"output": {
"result": result,
"operation": input_data["operation"]
}
}
# Create the graph with state schema
workflow = StateGraph(state_schema=CalculatorState)
print("Calculator graph for workflow created")
# Add the calculator tool node
workflow.add_node("calculator", ToolNode(calculator_function))
print("Calculator tool node added")
# Set the entry and exit points
workflow.set_entry_point("calculator")
workflow.set_finish_point("calculator")
print("Calculator workflow set")
return workflow.compile()
def create_search_tool() -> Graph:
"""Creates a search tool using DuckDuckGo that can search for information online."""
def search_function(state: SearchState) -> Dict[str, Any]:
with DDGS() as ddgs:
raw_results = list(ddgs.text(
state["input"]["query"],
max_results=state["input"]["max_results"]
))
results = []
for r in raw_results:
try:
results.append({
"title": r.get("title", ""),
"link": r.get("href", r.get("link", "")),
"snippet": r.get("body", r.get("snippet", ""))
})
except Exception as e:
print("Skipping malformed search result:", r, "Error:", e)
return {
"output": {
"results": results,
"query": state["input"]["query"]
}
}
# Create the graph with state schema
workflow = StateGraph(state_schema=SearchState)
# Add the search tool node
workflow.add_node("search", ToolNode(search_function))
# Set the entry and exit points
workflow.set_entry_point("search")
workflow.set_finish_point("search")
return workflow.compile()
# Example usage:
# if __name__ == "__main__":
# # Create the calculator tool
# calculator = create_calculator_tool()
# # Example calculation
# result = calculator.invoke({
# "input": {
# "operation": "add",
# "numbers": [1, 2, 3, 4]
# }
# })
# print(f"Result: {result['output'].result}")
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