Add tavily search agent to the LLM

Part of creating a react_agent. The langChainTavily_search_agent
uses the Langchain wrapper from Tavily and something amazingly
weird has happened. Follow my blog post for more details. But
in general, the tavily_search_agent is functioning but the
langchain wrapper for the same is not.

Author: Naresh Mehta

langChaintavily_search_agent.py

@@ -0,0 +1,36 @@
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from langchain.agents import create_agent
+from langchain.tools import tool
+from langchain_core.messages import HumanMessage
+from langchain_openai import ChatOpenAI
+from langchain_tavily import TavilySearch
+
+llm = ChatOpenAI(openai_api_base=os.environ.get("OPENAI_API_BASE"),openai_api_key=os.environ.get("OPENAI_API_KEY"),
+                    model_name="openai/gpt-oss-20b", temperature=0)
+tools = [TavilySearch()]
+agent = create_agent(model=llm, tools=tools) #, agent_type="react-search")
+
+def main():
+    print("This is a placeholder for react_search_agent.py")
+    """
+     result = agent.invoke(
+        {"messages":HumanMessage(content="Who is the current president of the United States?")}
+    )
+    """
+    result = agent.invoke(
+        {"messages":HumanMessage(content="Search for 3 job postings for LLM expert in the Malmö area on linkedin and list their details.")}
+    )
+    print(result)
+
+
+if __name__ == "__main__":
+    main()
+
+
+"""
+https://eu.smith.langchain.com/public/6a390515-5af7-4f62-a314-77a3d134ad16/r
+"""

pyproject.toml

@@ -10,5 +10,7 @@ dependencies = [
     "langchain>=1.1.0",
     "langchain-nvidia-ai-endpoints>=1.0.0",
     "langchain-openai>=1.1.0",
+    "langchain-tavily>=0.2.13",
     "python-dotenv>=1.2.1",
+    "tavily-python>=0.7.13",
 ]

tavily_search_agent.py

@@ -0,0 +1,46 @@
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from langchain.agents import create_agent
+from langchain.tools import tool
+from langchain_core.messages import HumanMessage
+from langchain_openai import ChatOpenAI
+from tavily import TavilyClient
+
+tavily = TavilyClient(api_key=os.environ.get("TAVILY_API_KEY"))
+
+@tool
+def search(query: str) -> str:
+    """
+    Tool that searches for information based on a query from the internet
+    
+    Args:
+        query: The query to search for
+    Returns:
+        The search results
+    """
+    # Placeholder for search functionality
+    return tavily.search(query=query, max_results=3)
+
+llm = ChatOpenAI(openai_api_base=os.environ.get("OPENAI_API_BASE"),openai_api_key=os.environ.get("OPENAI_API_KEY"),
+                    model_name="openai/gpt-oss-20b", temperature=0)
+tools = [search]
+agent = create_agent(model=llm, tools=tools) #, agent_type="react-search")
+
+def main():
+    print("This is a placeholder for react_search_agent.py")
+    """
+     result = agent.invoke(
+        {"messages":HumanMessage(content="Who is the current president of the United States?")}
+    )
+    """
+    result = agent.invoke(
+        {"messages":HumanMessage(content="Search for 3 job postings for LLM expert in the Malmö area on linkedin and list their details.")}
+    )
+    print(result)
+
+
+if __name__ == "__main__":
+    main()