docs[minor]: bedrock tool calling/WSO docs

docs/core_docs/docs/integrations/chat/bedrock.mdx

@@ -56,3 +56,31 @@ Anthropic Claude-3 models hosted on Bedrock have multimodal capabilities and can
 import BedrockMultimodalExample from "@examples/models/chat/integration_bedrock_multimodal.ts";
 
 <CodeBlock language="typescript">{BedrockMultimodalExample}</CodeBlock>
+
+### Tool calling
+
+:::info
+Not all Bedrock models support tool calling. Please refer to the [model documentation](https://docs.aws.amazon.com/bedrock/latest/APIReference/welcome.html) for more information.
+:::
+
+The examples below demonstrate how to use tool calling, along with the `withStructuredOutput` method to easily compose structured output LLM calls.
+
+import ToolCalling from "@examples/models/chat/integration_bedrock_tools.ts";
+
+<CodeBlock language="typescript">{ToolCalling}</CodeBlock>
+
+:::tip
+See the LangSmith trace [here](https://smith.langchain.com/public/003a684d-90eb-406e-a146-8ee5e617921b/r)
+:::
+
+#### `.withStructuredOutput({ ... })`
+
+Using the `.withStructuredOutput` method, you can easily make the LLM return structured output, given only a Zod or JSON schema:
+
+import WSOExample from "@examples/models/chat/integration_bedrock_wso.ts";
+
+<CodeBlock language="typescript">{WSOExample}</CodeBlock>
+
+:::tip
+See the LangSmith trace [here](https://smith.langchain.com/public/1f7b1ad8-e4ac-4965-8ce1-fae06005f3d7/r)
+:::

examples/src/models/chat/integration_bedrock_tools.ts

@@ -0,0 +1,63 @@
+import { BedrockChat } from "@langchain/community/chat_models/bedrock";
+// Or, from web environments:
+// import { BedrockChat } from "@langchain/community/chat_models/bedrock/web";
+import { z } from "zod";
+import { zodToJsonSchema } from "zod-to-json-schema";
+
+const model = new BedrockChat({
+  region: process.env.BEDROCK_AWS_REGION,
+  model: "anthropic.claude-3-sonnet-20240229-v1:0",
+  maxRetries: 0,
+  credentials: {
+    secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
+    accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
+  },
+});
+
+const weatherSchema = z
+  .object({
+    city: z.string().describe("The city to get the weather for"),
+    state: z.string().describe("The state to get the weather for").optional(),
+  })
+  .describe("Get the weather for a city");
+
+const modelWithTools = model.bindTools([
+  {
+    name: "weather_tool",
+    description: weatherSchema.description,
+    input_schema: zodToJsonSchema(weatherSchema),
+  },
+]);
+// Optionally, you can bind tools via the `.bind` method:
+// const modelWithTools = model.bind({
+//   tools: [
+//     {
+//       name: "weather_tool",
+//       description: weatherSchema.description,
+//       input_schema: zodToJsonSchema(weatherSchema),
+//     },
+//   ],
+// });
+
+const res = await modelWithTools.invoke("What's the weather in New York?");
+console.log(res);
+
+/*
+AIMessage {
+  additional_kwargs: { id: 'msg_bdrk_01JF7hb4PNQPywP4gnBbgpHi' },
+  response_metadata: {
+    stop_reason: 'tool_use',
+    usage: { input_tokens: 300, output_tokens: 85 }
+  },
+  tool_calls: [
+    {
+      name: 'weather_tool',
+      args: {
+        city: 'New York',
+        state: 'NY'
+      },
+      id: 'toolu_bdrk_01AtEZRTCKioFXqhoNcpgaV7'
+    }
+  ],
+}
+*/

examples/src/models/chat/integration_bedrock_wso.ts

@@ -0,0 +1,34 @@
+import { BedrockChat } from "@langchain/community/chat_models/bedrock";
+// Or, from web environments:
+// import { BedrockChat } from "@langchain/community/chat_models/bedrock/web";
+import { z } from "zod";
+
+const model = new BedrockChat({
+  region: process.env.BEDROCK_AWS_REGION,
+  model: "anthropic.claude-3-sonnet-20240229-v1:0",
+  maxRetries: 0,
+  credentials: {
+    secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
+    accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
+  },
+});
+
+const weatherSchema = z
+  .object({
+    city: z.string().describe("The city to get the weather for"),
+    state: z.string().describe("The state to get the weather for").optional(),
+  })
+  .describe("Get the weather for a city");
+
+const modelWithStructuredOutput = model.withStructuredOutput(weatherSchema, {
+  name: "weather_tool", // Optional, defaults to 'extract'
+});
+
+const res = await modelWithStructuredOutput.invoke(
+  "What's the weather in New York?"
+);
+console.log(res);
+
+/*
+{ city: 'New York', state: 'NY' }
+*/