diff --git a/generative-ai/snippets/countTokens.js b/generative-ai/snippets/countTokens.js
index 492be74da3..40ce023064 100644
--- a/generative-ai/snippets/countTokens.js
+++ b/generative-ai/snippets/countTokens.js
@@ -24,10 +24,10 @@ async function countTokens(
   model = 'gemini-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
-  const vertex_ai = new VertexAI({project: projectId, location: location});
+  const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeModel = vertex_ai.preview.getGenerativeModel({
+  const generativeModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
diff --git a/generative-ai/snippets/functionCallingStreamChat.js b/generative-ai/snippets/functionCallingStreamChat.js
new file mode 100644
index 0000000000..62caf5d12c
--- /dev/null
+++ b/generative-ai/snippets/functionCallingStreamChat.js
@@ -0,0 +1,98 @@
+// Copyright 2023 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// [START aiplatform_gemini_function_calling_chat]
+const {
+  VertexAI,
+  FunctionDeclarationSchemaType,
+} = require('@google-cloud/vertexai');
+
+const functionDeclarations = [
+  {
+    function_declarations: [
+      {
+        name: 'get_current_weather',
+        description: 'get weather in a given location',
+        parameters: {
+          type: FunctionDeclarationSchemaType.OBJECT,
+          properties: {
+            location: {type: FunctionDeclarationSchemaType.STRING},
+            unit: {
+              type: FunctionDeclarationSchemaType.STRING,
+              enum: ['celsius', 'fahrenheit'],
+            },
+          },
+          required: ['location'],
+        },
+      },
+    ],
+  },
+];
+
+const functionResponseParts = [
+  {
+    functionResponse: {
+      name: 'get_current_weather',
+      response: {name: 'get_current_weather', content: {weather: 'super nice'}},
+    },
+  },
+];
+
+/**
+ * TODO(developer): Update these variables before running the sample.
+ */
+async function functionCallingStreamChat(
+  projectId = 'PROJECT_ID',
+  location = 'us-central1',
+  model = 'gemini-pro'
+) {
+  // Initialize Vertex with your Cloud project and location
+  const vertexAI = new VertexAI({project: projectId, location: location});
+
+  // Instantiate the model
+  const generativeModel = vertexAI.preview.getGenerativeModel({
+    model: model,
+  });
+
+  // Create a chat session and pass your function declarations
+  const chat = generativeModel.startChat({
+    tools: functionDeclarations,
+  });
+
+  const chatInput1 = 'What is the weather in Boston?';
+
+  // This should include a functionCall response from the model
+  const result1 = await chat.sendMessageStream(chatInput1);
+  for await (const item of result1.stream) {
+    console.log(item.candidates[0]);
+  }
+  await result1.response;
+
+  // Send a follow up message with a FunctionResponse
+  const result2 = await chat.sendMessageStream(functionResponseParts);
+  for await (const item of result2.stream) {
+    console.log(item.candidates[0]);
+  }
+
+  // This should include a text response from the model using the response content
+  // provided above
+  const response2 = await result2.response;
+  console.log(response2.candidates[0].content.parts[0].text);
+}
+// [END aiplatform_gemini_function_calling_chat]
+
+functionCallingStreamChat(...process.argv.slice(2)).catch(err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
diff --git a/generative-ai/snippets/functionCallingStreamContent.js b/generative-ai/snippets/functionCallingStreamContent.js
new file mode 100644
index 0000000000..e0b71e2a29
--- /dev/null
+++ b/generative-ai/snippets/functionCallingStreamContent.js
@@ -0,0 +1,96 @@
+// Copyright 2023 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// [START aiplatform_gemini_function_calling_content]
+const {
+  VertexAI,
+  FunctionDeclarationSchemaType,
+} = require('@google-cloud/vertexai');
+
+const functionDeclarations = [
+  {
+    function_declarations: [
+      {
+        name: 'get_current_weather',
+        description: 'get weather in a given location',
+        parameters: {
+          type: FunctionDeclarationSchemaType.OBJECT,
+          properties: {
+            location: {type: FunctionDeclarationSchemaType.STRING},
+            unit: {
+              type: FunctionDeclarationSchemaType.STRING,
+              enum: ['celsius', 'fahrenheit'],
+            },
+          },
+          required: ['location'],
+        },
+      },
+    ],
+  },
+];
+
+const functionResponseParts = [
+  {
+    functionResponse: {
+      name: 'get_current_weather',
+      response: {name: 'get_current_weather', content: {weather: 'super nice'}},
+    },
+  },
+];
+
+/**
+ * TODO(developer): Update these variables before running the sample.
+ */
+async function functionCallingStreamChat(
+  projectId = 'PROJECT_ID',
+  location = 'us-central1',
+  model = 'gemini-pro'
+) {
+  // Initialize Vertex with your Cloud project and location
+  const vertexAI = new VertexAI({project: projectId, location: location});
+
+  // Instantiate the model
+  const generativeModel = vertexAI.preview.getGenerativeModel({
+    model: model,
+  });
+
+  const request = {
+    contents: [
+      {role: 'user', parts: [{text: 'What is the weather in Boston?'}]},
+      {
+        role: 'model',
+        parts: [
+          {
+            functionCall: {
+              name: 'get_current_weather',
+              args: {location: 'Boston'},
+            },
+          },
+        ],
+      },
+      {role: 'function', parts: functionResponseParts},
+    ],
+    tools: functionDeclarations,
+  };
+  const streamingResp = await generativeModel.generateContentStream(request);
+  for await (const item of streamingResp.stream) {
+    console.log(item.candidates[0].content.parts[0].text);
+  }
+}
+// [END aiplatform_gemini_function_calling_content]
+
+functionCallingStreamChat(...process.argv.slice(2)).catch(err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
diff --git a/generative-ai/snippets/nonStreamingChat.js b/generative-ai/snippets/nonStreamingChat.js
index 0199074f44..8d2af6609b 100644
--- a/generative-ai/snippets/nonStreamingChat.js
+++ b/generative-ai/snippets/nonStreamingChat.js
@@ -27,7 +27,7 @@ async function createNonStreamingChat(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeModel = vertexAI.preview.getGenerativeModel({
+  const generativeModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
@@ -37,20 +37,23 @@ async function createNonStreamingChat(
   console.log(`User: ${chatInput1}`);
 
   const result1 = await chat.sendMessage(chatInput1);
-  const response1 = result1.response.candidates[0].content.parts[0].text;
-  console.log('Chat bot: ', response1);
+  const response1 = result1.response;
+  const text1 = response1.candidates[0].content.parts[0].text;
+  console.log('Chat bot: ', text1);
 
   const chatInput2 = 'Can you tell me a scientific fun fact?';
   console.log(`User: ${chatInput2}`);
   const result2 = await chat.sendMessage(chatInput2);
-  const response2 = result2.response.candidates[0].content.parts[0].text;
-  console.log('Chat bot: ', response2);
+  const response2 = await result2.response;
+  const text2 = response2.candidates[0].content.parts[0].text;
+  console.log('Chat bot: ', text2);
 
   const chatInput3 = 'How can I learn more about that?';
   console.log(`User: ${chatInput3}`);
   const result3 = await chat.sendMessage(chatInput3);
-  const response3 = result3.response.candidates[0].content.parts[0].text;
-  console.log('Chat bot: ', response3);
+  const response3 = await result3.response;
+  const text3 = response3.candidates[0].content.parts[0].text;
+  console.log('Chat bot: ', text3);
 }
 // [END aiplatform_gemini_multiturn_chat_nonstreaming]
 
diff --git a/generative-ai/snippets/nonStreamingContent.js b/generative-ai/snippets/nonStreamingContent.js
index 1d82a7d7bb..65b4dc80ea 100644
--- a/generative-ai/snippets/nonStreamingContent.js
+++ b/generative-ai/snippets/nonStreamingContent.js
@@ -27,7 +27,7 @@ async function createNonStreamingContent(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeModel = vertexAI.preview.getGenerativeModel({
+  const generativeModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
diff --git a/generative-ai/snippets/nonStreamingMultipartContent.js b/generative-ai/snippets/nonStreamingMultipartContent.js
index d281919313..962339fd8e 100644
--- a/generative-ai/snippets/nonStreamingMultipartContent.js
+++ b/generative-ai/snippets/nonStreamingMultipartContent.js
@@ -29,7 +29,7 @@ async function createNonStreamingMultipartContent(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeVisionModel = vertexAI.preview.getGenerativeModel({
+  const generativeVisionModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
@@ -50,7 +50,7 @@ async function createNonStreamingMultipartContent(
   };
 
   console.log('Prompt Text:');
-  console.log(request.contents[0].parts[0].text);
+  console.log(request.contents[0].parts[1].text);
 
   console.log('Non-Streaming Response Text:');
   // Create the response stream
diff --git a/generative-ai/snippets/package.json b/generative-ai/snippets/package.json
index 29a62f5f37..59bb0948c1 100644
--- a/generative-ai/snippets/package.json
+++ b/generative-ai/snippets/package.json
@@ -13,7 +13,7 @@
     "test": "c8 mocha -p -j 2 --timeout 2400000 test/*.test.js"
   },
   "dependencies": {
-    "@google-cloud/aiplatform": "^3.0.0",
+    "@google-cloud/aiplatform": "^3.12.0",
     "@google-cloud/vertexai": "github:googleapis/nodejs-vertexai",
     "axios": "^1.6.2",
     "supertest": "^6.3.3"
diff --git a/generative-ai/snippets/safetySettings.js b/generative-ai/snippets/safetySettings.js
index ac4509f646..306fa54db5 100644
--- a/generative-ai/snippets/safetySettings.js
+++ b/generative-ai/snippets/safetySettings.js
@@ -31,7 +31,7 @@ async function setSafetySettings(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeModel = vertexAI.preview.getGenerativeModel({
+  const generativeModel = vertexAI.getGenerativeModel({
     model: model,
     // The following parameters are optional
     // They can also be passed to individual content generation requests
@@ -59,6 +59,7 @@ async function setSafetySettings(
   for await (const item of responseStream.stream) {
     if (item.candidates[0].finishReason === 'SAFETY') {
       console.log('This response stream terminated due to safety concerns.');
+      break;
     } else {
       process.stdout.write(item.candidates[0].content.parts[0].text);
     }
@@ -66,7 +67,7 @@ async function setSafetySettings(
 }
 // [END aiplatform_gemini_safety_settings]
 
-setSafetySettings(...process.argv.slice(3)).catch(err => {
+setSafetySettings(...process.argv.slice(2)).catch(err => {
   console.error(err.message);
   process.exitCode = 1;
 });
diff --git a/generative-ai/snippets/sendMultiModalPromptWithImage.js b/generative-ai/snippets/sendMultiModalPromptWithImage.js
index b6dcb09aa7..acc4514b28 100644
--- a/generative-ai/snippets/sendMultiModalPromptWithImage.js
+++ b/generative-ai/snippets/sendMultiModalPromptWithImage.js
@@ -43,7 +43,7 @@ async function sendMultiModalPromptWithImage(
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});
 
-  const generativeVisionModel = vertexAI.preview.getGenerativeModel({
+  const generativeVisionModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
diff --git a/generative-ai/snippets/sendMultiModalPromptWithVideo.js b/generative-ai/snippets/sendMultiModalPromptWithVideo.js
index cd777cbf12..a6c4dad1cc 100644
--- a/generative-ai/snippets/sendMultiModalPromptWithVideo.js
+++ b/generative-ai/snippets/sendMultiModalPromptWithVideo.js
@@ -26,7 +26,7 @@ async function sendMultiModalPromptWithVideo(
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});
 
-  const generativeVisionModel = vertexAI.preview.getGenerativeModel({
+  const generativeVisionModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
diff --git a/generative-ai/snippets/streamChat.js b/generative-ai/snippets/streamChat.js
index bf6edcfa40..7400774dc8 100644
--- a/generative-ai/snippets/streamChat.js
+++ b/generative-ai/snippets/streamChat.js
@@ -27,7 +27,7 @@ async function createStreamChat(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeModel = vertexAI.preview.getGenerativeModel({
+  const generativeModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
diff --git a/generative-ai/snippets/streamContent.js b/generative-ai/snippets/streamContent.js
index 9004c6b515..cfaf156e5d 100644
--- a/generative-ai/snippets/streamContent.js
+++ b/generative-ai/snippets/streamContent.js
@@ -27,7 +27,7 @@ async function createStreamContent(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeModel = vertexAI.preview.getGenerativeModel({
+  const generativeModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
diff --git a/generative-ai/snippets/streamMultipartContent.js b/generative-ai/snippets/streamMultipartContent.js
index b336258c29..670a0b13c2 100644
--- a/generative-ai/snippets/streamMultipartContent.js
+++ b/generative-ai/snippets/streamMultipartContent.js
@@ -29,7 +29,7 @@ async function createStreamMultipartContent(
   const vertexAI = new VertexAI({project: projectId, location: location});
 
   // Instantiate the model
-  const generativeVisionModel = vertexAI.preview.getGenerativeModel({
+  const generativeVisionModel = vertexAI.getGenerativeModel({
     model: model,
   });
 
@@ -50,7 +50,7 @@ async function createStreamMultipartContent(
   };
 
   console.log('Prompt Text:');
-  console.log(request.contents[0].parts[0].text);
+  console.log(request.contents[0].parts[1].text);
   console.log('Streaming Response Text:');
 
   // Create the response stream
diff --git a/generative-ai/snippets/test/functionCallingStreamChat.test.js b/generative-ai/snippets/test/functionCallingStreamChat.test.js
new file mode 100644
index 0000000000..482d79bd40
--- /dev/null
+++ b/generative-ai/snippets/test/functionCallingStreamChat.test.js
@@ -0,0 +1,36 @@
+// Copyright 2023 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+'use strict';
+
+const {assert} = require('chai');
+const {describe, it} = require('mocha');
+const cp = require('child_process');
+
+const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
+
+describe('Generative AI Function Calling Stream Chat', () => {
+  const project = 'cloud-llm-preview1';
+  const location = 'us-central1';
+  const model = 'gemini-pro';
+
+  it('should create stream chat and begin the conversation the same in each instance', async () => {
+    const output = execSync(
+      `node ./functionCallingStreamChat.js ${project} ${location} ${model}`
+    );
+
+    // Assert that the response is what we expect
+    assert(output.match(/The weather in Boston is super nice./));
+  });
+});
diff --git a/generative-ai/snippets/test/functionCallingStreamContent.test.js b/generative-ai/snippets/test/functionCallingStreamContent.test.js
new file mode 100644
index 0000000000..f80ea029d8
--- /dev/null
+++ b/generative-ai/snippets/test/functionCallingStreamContent.test.js
@@ -0,0 +1,36 @@
+// Copyright 2023 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+'use strict';
+
+const {assert} = require('chai');
+const {describe, it} = require('mocha');
+const cp = require('child_process');
+
+const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
+
+describe('Generative AI Function Calling Stream Content', () => {
+  const project = 'cloud-llm-preview1';
+  const location = 'us-central1';
+  const model = 'gemini-pro';
+
+  it('should create stream chat and begin the conversation the same in each instance', async () => {
+    const output = execSync(
+      `node ./functionCallingStreamContent.js ${project} ${location} ${model}`
+    );
+
+    // Assert that the response is what we expect
+    assert(output.match(/The weather in Boston is super nice./));
+  });
+});
diff --git a/generative-ai/snippets/test/sendMultiModalPromptWithImage.test.js b/generative-ai/snippets/test/sendMultiModalPromptWithImage.test.js
index a421893228..414fff580f 100644
--- a/generative-ai/snippets/test/sendMultiModalPromptWithImage.test.js
+++ b/generative-ai/snippets/test/sendMultiModalPromptWithImage.test.js
@@ -30,6 +30,6 @@ describe('Generative AI Stream MultiModal with Image', () => {
       `node ./sendMultiModalPromptWithImage.js ${project} ${location} ${model}`
     );
     // Ensure that the conversation is what we expect for these images
-    assert(output.match(/Paris/));
+    assert(output.match(/city: Rio de Janeiro, Landmark: Christ the Redeemer/));
   });
 });
diff --git a/generative-ai/snippets/test/sendMultiModalPromptWithVideo.test.js b/generative-ai/snippets/test/sendMultiModalPromptWithVideo.test.js
index 91d6fedb56..17e3e07bef 100644
--- a/generative-ai/snippets/test/sendMultiModalPromptWithVideo.test.js
+++ b/generative-ai/snippets/test/sendMultiModalPromptWithVideo.test.js
@@ -30,6 +30,6 @@ describe('Generative AI Stream MultiModal with Video', () => {
       `node ./sendMultiModalPromptWithVideo.js ${project} ${location} ${model}`
     );
     // Ensure that the conversation is what we expect for these images
-    assert(output.match(/advertisement/));
+    assert(output.match(/Zootopia/));
   });
 });