fix: Run formatting

agent/pizza-orderer/index.ts

@@ -7,7 +7,7 @@ import { v4 as uuidv4 } from "uuid";
 
 const PizzaOrdererAnnotation = Annotation.Root({
   messages: GenerativeUIAnnotation.spec.messages,
-})
+});
 
 async function sleep(ms = 5000) {
   return new Promise((resolve) => setTimeout(resolve, ms));
@@ -15,71 +15,99 @@ async function sleep(ms = 5000) {
 
 const workflow = new StateGraph(PizzaOrdererAnnotation)
   .addNode("findStore", async (state) => {
-    const findShopSchema = z.object({
-      location: z.string().describe("The location the user is in. E.g. 'San Francisco' or 'New York'"),
-      pizza_company: z.string().optional().describe("The name of the pizza company. E.g. 'Dominos' or 'Papa John's'. Optional, if not defined it will search for all pizza shops"),
-    }).describe("The schema for finding a pizza shop for the user")
-    const model = new ChatAnthropic({ model: "claude-3-5-sonnet-latest", temperature: 0 }).withStructuredOutput(findShopSchema, {
+    const findShopSchema = z
+      .object({
+        location: z
+          .string()
+          .describe(
+            "The location the user is in. E.g. 'San Francisco' or 'New York'",
+          ),
+        pizza_company: z
+          .string()
+          .optional()
+          .describe(
+            "The name of the pizza company. E.g. 'Dominos' or 'Papa John's'. Optional, if not defined it will search for all pizza shops",
+          ),
+      })
+      .describe("The schema for finding a pizza shop for the user");
+    const model = new ChatAnthropic({
+      model: "claude-3-5-sonnet-latest",
+      temperature: 0,
+    }).withStructuredOutput(findShopSchema, {
       name: "find_pizza_shop",
       includeRaw: true,
-    })
+    });
 
     const response = await model.invoke([
       {
         role: "system",
-        content: "You are a helpful AI assistant, tasked with extracting information from the conversation between you, and the user, in order to find a pizza shop for them."
+        content:
+          "You are a helpful AI assistant, tasked with extracting information from the conversation between you, and the user, in order to find a pizza shop for them.",
       },
       ...state.messages,
-    ])
+    ]);
 
     await sleep();
 
     const toolResponse: ToolMessage = {
       type: "tool",
       id: uuidv4(),
-      content: "I've found a pizza shop at 1119 19th St, San Francisco, CA 94107. The phone number for the shop is 415-555-1234.",
-      tool_call_id: (response.raw as unknown as AIMessage).tool_calls?.[0].id ?? "",
-    }
-    
+      content:
+        "I've found a pizza shop at 1119 19th St, San Francisco, CA 94107. The phone number for the shop is 415-555-1234.",
+      tool_call_id:
+        (response.raw as unknown as AIMessage).tool_calls?.[0].id ?? "",
+    };
+
     return {
-      messages: [response.raw, toolResponse]
-    }
+      messages: [response.raw, toolResponse],
+    };
   })
   .addNode("orderPizza", async (state) => {
     await sleep(1500);
 
-    const placeOrderSchema = z.object({
-      address: z.string().describe("The address of the store to order the pizza from"),
-      phone_number: z.string().describe("The phone number of the store to order the pizza from"),
-      order: z.string().describe("The full pizza order for the user"),
-    }).describe("The schema for ordering a pizza for the user")
-    const model = new ChatAnthropic({ model: "claude-3-5-sonnet-latest", temperature: 0 }).withStructuredOutput(placeOrderSchema, {
+    const placeOrderSchema = z
+      .object({
+        address: z
+          .string()
+          .describe("The address of the store to order the pizza from"),
+        phone_number: z
+          .string()
+          .describe("The phone number of the store to order the pizza from"),
+        order: z.string().describe("The full pizza order for the user"),
+      })
+      .describe("The schema for ordering a pizza for the user");
+    const model = new ChatAnthropic({
+      model: "claude-3-5-sonnet-latest",
+      temperature: 0,
+    }).withStructuredOutput(placeOrderSchema, {
       name: "place_pizza_order",
       includeRaw: true,
-    })
+    });
 
     const response = await model.invoke([
       {
         role: "system",
-        content: "You are a helpful AI assistant, tasked with placing an order for a pizza for the user."
+        content:
+          "You are a helpful AI assistant, tasked with placing an order for a pizza for the user.",
       },
       ...state.messages,
-    ])
+    ]);
 
     const toolResponse: ToolMessage = {
       type: "tool",
       id: uuidv4(),
       content: "Pizza order successfully placed.",
-      tool_call_id: (response.raw as unknown as AIMessage).tool_calls?.[0].id ?? "",
-    }
-    
+      tool_call_id:
+        (response.raw as unknown as AIMessage).tool_calls?.[0].id ?? "",
+    };
+
     return {
-      messages: [response.raw, toolResponse]
-    }
+      messages: [response.raw, toolResponse],
+    };
   })
   .addEdge(START, "findStore")
   .addEdge("findStore", "orderPizza")
-  .addEdge("orderPizza", END)
+  .addEdge("orderPizza", END);
 
-export const graph = workflow.compile()
+export const graph = workflow.compile();
 graph.name = "Order Pizza Graph";