start adding dummy nodes

agent/nodes/model.ts

@@ -1,21 +1,24 @@
-import { task, entrypoint } from "@langchain/langgraph";
-import { BaseMessage, SystemMessage } from "@langchain/core/messages";
-import { ChatOpenAI } from "@langchain/openai"
-import { arithmeticTools } from "../tools/arithmetic";
+// import { SystemMessage } from "@langchain/core/messages";
+// import { GraphNode } from "@langchain/langgraph";
+// import { MessagesState } from "../state";
+// import { arithmeticTools } from "../tools/arithmetic";
+// import { ChatOpenAI } from "@langchain/openai"
 
-const model = new ChatOpenAI({
-  model: "gpt-5-mini"
-});
+// const model = new ChatOpenAI({
+//   model: "gpt-5-mini"
+// });
 
-const modelWithTools = model.bindTools(arithmeticTools);
+// const modelWithTools = model.bindTools(arithmeticTools);
 
-export const modelNode = task({ name: "callLlm" }, async (messages: BaseMessage[]) => {
-    
-
-    return modelWithTools.invoke([
-    new SystemMessage(
-      "You are a helpful assistant tasked with performing arithmetic on a set of inputs."
-    ),
-    ...messages,
-  ]);
-});
+// export const llmCall: GraphNode<typeof MessagesState> = async (state) => {
+//   const response = await modelWithTools.invoke([
+//     new SystemMessage(
+//       "You are a helpful assistant tasked with performing arithmetic on a set of inputs. Any calculation, no matter how trivial, should be done with tools.  Output the final answer with %%% on each side"
+//     ),
+//     ...state.messages,
+//   ]);
+//   return {
+//     messages: [response],
+//     llmCalls: 1,
+//   };
+// };