Delete other_tools.py

other_tools.py

@@ -1,92 +0,0 @@
-from langchain.tools import tool
-#mathematical operations
-import cmath
-@tool(description="Multiplies two numbers.")
-def multiply(a: float, b: float) -> float:
-    return a * b
-
-@tool(description="Adds two numbers.")
-def add(a: float, b: float) -> float:
-    return a + b
-
-@tool(description="Subtracts two numbers.")
-def subtract(a: float, b: float) -> int:
-    return a - b
-
-@tool(description="Divides two numbers.")
-def divide(a: float, b: float) -> float:
-    if b == 0:
-        raise ValueError("Cannot divided by zero.")
-    return a / b
-
-@tool(description="Get the modulus of two numbers.")
-def modulus(a: int, b: int) -> int:
-    return a % b
-
-@tool(description="Get the power of two numbers.")
-def power(a: float, b: float) -> float:
-    return a**b
-
-@tool(description="Get the square root of a number.")
-def square_root(a: float) -> float | complex:
-    if a >= 0:
-        return a**0.5
-    return cmath.sqrt(a)
-
-from langchain_community.document_loaders import WikipediaLoader
-
-@tool(description="Search Wikipedia for a query and return up to 2 results.")
-def wiki_search(query: str) -> dict:
-    print(f"Searching Wikipedia for: {query}")
-    
-    try:
-        # Load up to 2 documents from Wikipedia
-        search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
-
-        # Format the output for each document
-        formatted_search_docs = "\n\n---\n\n".join(
-            [
-                f'<Document source="{doc.metadata.get("source", "")}" page="{doc.metadata.get("page", "")}">\n{doc.page_content}\n</Document>'
-                for doc in search_docs
-            ]
-        )
-
-        print(f"Here are the outputs:\n{formatted_search_docs}")
-        return {"wiki_results": formatted_search_docs}
-
-    except Exception as e:
-        print(f"Error occurred: {e}")
-        return {"wiki_results": f"None found for {query}, use the results from the other tools or similar questions obtained earlier."}
-
-
-from langchain_community.document_loaders import ArxivLoader
-@tool(description="Search Arxiv for a query and return maximum 3 result.")
-def arvix_search(query: str) -> str:
-    search_docs = ArxivLoader(query=query, load_max_docs=3).load()
-    formatted_search_docs = "\n\n---\n\n".join(
-        [
-            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>{doc.page_content[:1000]}</Document>'
-            for doc in search_docs
-        ])
-    return {"arvix_results": formatted_search_docs}
-
-from langchain_community.tools.tavily_search import TavilySearchResults
-@tool(description="Search Tavily for a query and return maximum 3 results.")
-def web_search(query: str) -> str:
-    search_docs = TavilySearchResults(max_results=3).invoke(query=query)
-    formatted_search_docs = "\n\n---\n\n".join(
-        [
-            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>{doc.page_content}</Document>'
-            for doc in search_docs
-        ])
-    return {"web_results": formatted_search_docs}
-
-from upload_metadata_n_setup_retrivers import retriever
-def vector_search(query:str) -> str:
-    search_docs = retriever.invoke(input=query)
-    formatted_search_docs = "\n\n---\n\n".join(
-    [
-            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>{doc.page_content}</Document>'
-            for doc in search_docs
-        ])
-    return formatted_search_docs