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from typing import Dict, Any, List
from langgraph.graph import Graph, StateGraph
from langgraph.prebuilt import ToolNode
from pydantic import BaseModel, Field
from duckduckgo_search import DDGS
class CalculatorInput(BaseModel):
operation: str = Field(..., description="The operation to perform (add, subtract, multiply, divide)")
numbers: List[float] = Field(..., description="List of numbers to perform the operation on")
class CalculatorOutput(BaseModel):
result: float = Field(..., description="The result of the calculation")
operation: str = Field(..., description="The operation that was performed")
class SearchInput(BaseModel):
query: str = Field(..., description="The search query to look up")
max_results: int = Field(default=3, description="Maximum number of results to return")
class SearchResult(BaseModel):
title: str = Field(..., description="Title of the search result")
link: str = Field(..., description="URL of the search result")
snippet: str = Field(..., description="Brief description of the search result")
class SearchOutput(BaseModel):
results: List[SearchResult] = Field(..., description="List of search results")
query: str = Field(..., description="The original search query")
def create_calculator_tool() -> Graph:
"""Creates a calculator tool using LangGraph that can perform basic arithmetic operations."""
def calculator_function(state: Dict[str, Any]) -> Dict[str, Any]:
input_data = CalculatorInput(**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}")
output = CalculatorOutput(
result=result,
operation=input_data.operation
)
return {"output": output}
# Create the graph
workflow = StateGraph()
# Add the calculator tool node
workflow.add_node("calculator", ToolNode(calculator_function))
# Set the entry and exit points
workflow.set_entry_point("calculator")
workflow.set_finish_point("calculator")
return workflow.compile()
def create_search_tool() -> Graph:
"""Creates a search tool using DuckDuckGo that can search for information online."""
def search_function(state: Dict[str, Any]) -> Dict[str, Any]:
input_data = SearchInput(**state["input"])
# Initialize DuckDuckGo search
with DDGS() as ddgs:
# Perform the search
search_results = list(ddgs.text(
input_data.query,
max_results=input_data.max_results
))
# Convert results to our model
results = [
SearchResult(
title=result["title"],
link=result["link"],
snippet=result["body"]
)
for result in search_results
]
output = SearchOutput(
results=results,
query=input_data.query
)
return {"output": output}
# Create the graph
workflow = StateGraph()
# 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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