Building a langchain agent

langchain_agent.py

@@ -0,0 +1,18 @@
+from langchain.agents import create_agent
+from langgraph.checkpoint.memory import InMemorySaver
+from langchain_community.tools import DuckDuckGoSearchRun
+
+
+system_prompt = """finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER].
+YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.
+If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise.
+If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.
+If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string."""
+
+
+agent = create_agent(
+    model="google-genai:gemini-2.5-flash",
+    tools=[DuckDuckGoSearchRun()],
+    system_prompt=system_prompt,
+    checkpointer=InMemorySaver(),
+)

requirements.txt

@@ -12,3 +12,7 @@ chess
 pandas
 ipykernel
 arize-phoenix
+langchain
+langchain-google-genai
+duckduckgo-search
+langchain-community