add more tools

app.py

@@ -4,6 +4,8 @@ import requests
 import inspect
 import pandas as pd
 from smolagents import CodeAgent, tool, InferenceClientModel
+from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain_community.document_loaders import WikipediaLoader, ArxivLoader
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -36,6 +38,45 @@ def subtract(a: int, b: int) -> int:
     """
     return a - b
 
+@tool
+def web_search(query: str) -> str:
+    """Search Tavily for a query and return maximum 3 results.
+    
+    Args:
+        query: The search query."""
+    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", "")}"/>\n{doc.page_content}\n</Document>'
+            for doc in search_docs
+        ])
+    return {"web_results": formatted_search_docs}
+
+@tool
+def arxiv_search(query: str, load_max_docs: int) -> Dict[str, str]:
+    """Search Arxiv for a query and return maximum 3 result.
+    Args:
+        query: The search query.
+        load_max_docs: The maximum number of documents to load.
+        """
+    search_docs = ArxivLoader(query=query, load_max_docs=load_max_docs).load()
+    formatted_search_docs = "\n\n---\n\n".join(
+        [
+            f'<Document Title="{doc.metadata["Title"]}" Published="{doc.metadata["Published"]}" Authors="{doc.metadata["Authors"]} Summary={doc.metadata["Summary"]}"/>\n{doc.page_content}\n</Document>'
+            for doc in search_docs
+        ]
+    )
+    return {"arxiv_results": formatted_search_docs}
+
+@tool
+def wikipedia_search(query: str, load_max_docs: int=3) -> str:
+    """Search Wikipedia for a query and return the summary.
+    Args:
+        query: The search query.
+        load_max_docs: The maximum number of documents to load.
+    """
+    search_docs = WikipediaLoader(query=query, load_max_docs=load_max_docs).load()
+    return {"wikipedia_results": search_docs}
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
@@ -45,7 +86,6 @@ class BasicAgent:
         self.agent = CodeAgent(
             model=InferenceClientModel(model_id=model_id, token=os.getenv("HF_TOKEN")),
             tools=[multiply, add, subtract],
-            verbose=True,
             max_steps=10,
         )
         print("BasicAgent initialized.")

requirements.txt

@@ -1,3 +1,4 @@
 gradio
 requests
-smolagents
+smolagents
+langchain-community