add config

pandas_rag_langgraph/agent.py

@@ -67,7 +67,7 @@ def get_retriever() -> BaseRetriever:
 # LLM / Retriever / Tools
 llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
 retriever = get_retriever()
-tavily_search_tool = TavilySearchResults(max_results=1)
+tavily_search_tool = TavilySearchResults(max_results=3)
 
 # Prompts / data models
 
@@ -146,6 +146,10 @@ class GraphState(TypedDict):
     web_fallback: bool
 
 
+class GraphConfig(TypedDict):
+    max_retries: int
+
+
 def document_search(state: GraphState):
     """
     Retrieve documents
@@ -275,7 +279,7 @@ def finalize_response(state: GraphState):
 
 # Define graph
 
-workflow = StateGraph(GraphState)
+workflow = StateGraph(GraphState, config_schema=GraphConfig)
 
 # Define the nodes
 workflow.add_node("document_search", document_search)