diff --git a/README.md b/README.md
index d5def39..da4058c 100644
--- a/README.md
+++ b/README.md
@@ -243,6 +243,7 @@ await model.call('Tell me a joke.', undefined, [
 
 ```typescript
 import { GenAIChatModel } from '@ibm-generative-ai/node-sdk/langchain';
+import { SystemMessage, HumanMessage } from 'langchain/schema';
 
 const client = new GenAIChatModel({
   modelId: 'eleutherai/gpt-neox-20b',
@@ -268,13 +269,13 @@ const client = new GenAIChatModel({
 });
 
 const response = await client.call([
-  new SystemChatMessage(
+  new SystemMessage(
     'You are a helpful assistant that translates English to Spanish.',
   ),
-  new HumanChatMessage('I love programming.'),
+  new HumanMessage('I love programming.'),
 ]);
 
-console.info(response.text); // "Me encanta la programación."
+console.info(response.content); // "Me encanta la programación."
 ```
 
 #### Prompt Templates (GenAI x LangChain)
diff --git a/src/langchain/llm-chat.ts b/src/langchain/llm-chat.ts
index 9fb0758..8073fcb 100644
--- a/src/langchain/llm-chat.ts
+++ b/src/langchain/llm-chat.ts
@@ -74,7 +74,7 @@ export class GenAIChatModel extends BaseChatModel {
             `Unsupported message type "${msg._getType()}"`,
           );
         }
-        return `${type.stopSequence}${msg.text}`;
+        return `${type.stopSequence}${msg.content}`;
       })
       .join('\n')
       .concat(this.#rolesMapping.system.stopSequence);
diff --git a/src/tests/e2e/langchain/llm-chat.test.ts b/src/tests/e2e/langchain/llm-chat.test.ts
index 2309f4c..48e74b3 100644
--- a/src/tests/e2e/langchain/llm-chat.test.ts
+++ b/src/tests/e2e/langchain/llm-chat.test.ts
@@ -1,4 +1,4 @@
-import { HumanChatMessage, SystemChatMessage } from 'langchain/schema';
+import { HumanMessage, SystemMessage } from 'langchain/schema';
 
 import { GenAIChatModel } from '../../../langchain/index.js';
 import { describeIf } from '../../utils.js';
@@ -47,21 +47,21 @@ describeIf(process.env.RUN_LANGCHAIN_CHAT_TESTS === 'true')(
         const chat = makeClient();
 
         const response = await chat.call([
-          new HumanChatMessage(
+          new HumanMessage(
             'What is a good name for a company that makes colorful socks?',
           ),
         ]);
-        expectIsNonEmptyString(response.text);
+        expectIsNonEmptyString(response.content);
       });
 
       test('should handle question with additional hint', async () => {
         const chat = makeClient();
 
         const response = await chat.call([
-          new SystemChatMessage(SYSTEM_MESSAGE),
-          new HumanChatMessage('I love programming.'),
+          new SystemMessage(SYSTEM_MESSAGE),
+          new HumanMessage('I love programming.'),
         ]);
-        expectIsNonEmptyString(response.text);
+        expectIsNonEmptyString(response.content);
       });
 
       test('should handle multiple questions', async () => {
@@ -69,12 +69,12 @@ describeIf(process.env.RUN_LANGCHAIN_CHAT_TESTS === 'true')(
 
         const response = await chat.generate([
           [
-            new SystemChatMessage(SYSTEM_MESSAGE),
-            new HumanChatMessage('I love programming.'),
+            new SystemMessage(SYSTEM_MESSAGE),
+            new HumanMessage('I love programming.'),
           ],
           [
-            new SystemChatMessage(SYSTEM_MESSAGE),
-            new HumanChatMessage('I love artificial intelligence.'),
+            new SystemMessage(SYSTEM_MESSAGE),
+            new HumanMessage('I love artificial intelligence.'),
           ],
         ]);
 
@@ -95,7 +95,7 @@ describeIf(process.env.RUN_LANGCHAIN_CHAT_TESTS === 'true')(
         });
 
         const output = await chat.call(
-          [new HumanChatMessage('Tell me a joke.')],
+          [new HumanMessage('Tell me a joke.')],
           undefined,
           [
             {
@@ -105,8 +105,8 @@ describeIf(process.env.RUN_LANGCHAIN_CHAT_TESTS === 'true')(
         );
 
         expect(handleNewToken).toHaveBeenCalled();
-        expectIsNonEmptyString(output.text);
-        expect(tokens.join('')).toStrictEqual(output.text);
+        expectIsNonEmptyString(output.content);
+        expect(tokens.join('')).toStrictEqual(output.content);
       });
     });
   },