fix(aiplatform): update Gemini model names (#3626)

* fix(aiplatform): update Gemini model names

* Fix the model name

Author: gericdong

generative-ai/snippets/countTokens.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function countTokens(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/functionCallingStreamChat.js

@@ -55,7 +55,7 @@ const functionResponseParts = [
 async function functionCallingStreamChat(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/functionCallingStreamContent.js

@@ -55,7 +55,7 @@ const functionResponseParts = [
 async function functionCallingStreamChat(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/nonStreamingChat.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function createNonStreamingChat(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/nonStreamingContent.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function createNonStreamingContent(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/nonStreamingMultipartContent.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function createNonStreamingMultipartContent(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro-vision',
+  model = 'gemini-1.0-pro-vision',
   image = 'gs://generativeai-downloads/images/scones.jpg',
   mimeType = 'image/jpeg'
 ) {

generative-ai/snippets/safetySettings.js

@@ -25,7 +25,7 @@ const {
 async function setSafetySettings(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/sendMultiModalPromptWithImage.js

@@ -27,7 +27,7 @@ async function getBase64(url) {
 async function sendMultiModalPromptWithImage(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro-vision'
+  model = 'gemini-1.0-pro-vision'
 ) {
   // For images, the SDK supports base64 strings
   const landmarkImage1 = await getBase64(

generative-ai/snippets/sendMultiModalPromptWithVideo.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function sendMultiModalPromptWithVideo(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro-vision'
+  model = 'gemini-1.0-pro-vision'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/streamChat.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function createStreamChat(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/streamContent.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function createStreamContent(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro'
+  model = 'gemini-1.0-pro'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/streamMultipartContent.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function createStreamMultipartContent(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-pro-vision',
+  model = 'gemini-1.0-pro-vision',
   image = 'gs://generativeai-downloads/images/scones.jpg',
   mimeType = 'image/jpeg'
 ) {

generative-ai/snippets/test/countTokens.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Count tokens', async () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro';
+  const model = 'gemini-1.0-pro';
 
   it('should count tokens', async () => {
     const output = execSync(

generative-ai/snippets/test/functionCallingStreamChat.test.js

@@ -23,7 +23,7 @@ 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';
+  const model = 'gemini-1.0-pro';
 
   it('should create stream chat and begin the conversation the same in each instance', async () => {
     const output = execSync(

generative-ai/snippets/test/functionCallingStreamContent.test.js

@@ -23,7 +23,7 @@ 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';
+  const model = 'gemini-1.0-pro';
 
   it('should create stream chat and begin the conversation the same in each instance', async () => {
     const output = execSync(

generative-ai/snippets/test/nonStreamingChat.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI NonStreaming Chat', async () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro';
+  const model = 'gemini-1.0-pro';
 
   it('should create nonstreaming chat and begin the conversation the same in each instance', async () => {
     const output = execSync(

generative-ai/snippets/test/nonStreamingContent.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI NonStreaming Content', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro';
+  const model = 'gemini-1.0-pro';
 
   it('should create nonstreaming content and begin the conversation the same in each instance', async () => {
     const output = execSync(

generative-ai/snippets/test/nonStreamingMultipartContent.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI NonStreaming Multipart Content', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro-vision';
+  const model = 'gemini-1.0-pro-vision';
   const image = 'gs://generativeai-downloads/images/scones.jpg';
 
   it('should create nonstreaming multipart content and begin the conversation the same in each instance', async () => {

generative-ai/snippets/test/safetySettings.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Safety settings', async () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro';
+  const model = 'gemini-1.0-pro';
 
   it('should reject a dangerous request', async () => {
     const output = execSync(

generative-ai/snippets/test/sendMultiModalPromptWithImage.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI Stream MultiModal with Image', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro-vision';
+  const model = 'gemini-1.0-pro-vision';
 
   it('should create stream multimodal content', async () => {
     const output = execSync(

generative-ai/snippets/test/sendMultiModalPromptWithVideo.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI Stream MultiModal with Video', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro-vision';
+  const model = 'gemini-1.0-pro-vision';
 
   it('should create stream multimodal content', async () => {
     const output = execSync(

generative-ai/snippets/test/streamChat.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI Stream Chat', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro';
+  const model = 'gemini-1.0-pro';
 
   it('should create stream chat and begin the conversation the same in each instance', async () => {
     const output = execSync(

generative-ai/snippets/test/streamContent.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI Stream Content', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro';
+  const model = 'gemini-1.0-pro';
 
   it('should create stream content', async () => {
     const output = execSync(

generative-ai/snippets/test/streamMultipartContent.test.js

@@ -23,7 +23,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 describe('Generative AI Stream Multipart Content', () => {
   const project = 'cloud-llm-preview1';
   const location = 'us-central1';
-  const model = 'gemini-pro-vision';
+  const model = 'gemini-1.0-pro-vision';
   const image = 'gs://generativeai-downloads/images/scones.jpg';
 
   it('should create stream multipart content', async () => {