fix: update Gemini model names (#3674)

Author: katiemn

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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/inference/nonStreamTextBasic.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function generateContent(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // Initialize Vertex with your Cloud project and location
   const vertexAI = new VertexAI({project: projectId, location: location});

generative-ai/snippets/inference/streamTextBasic.js

@@ -21,7 +21,7 @@ const {VertexAI} = require('@google-cloud/vertexai');
 async function generateContent(
   projectId = 'PROJECT_ID',
   location = 'us-central1',
-  model = 'gemini-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro-vision',
+  model = 'gemini-1.0-pro-vision-001',
   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-1.0-pro-001'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro-vision'
+  model = 'gemini-1.0-pro-vision-001'
 ) {
   // 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-1.0-pro-vision'
+  model = 'gemini-1.0-pro-vision-001'
 ) {
   // 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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro'
+  model = 'gemini-1.0-pro-002'
 ) {
   // 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-1.0-pro-vision',
+  model = 'gemini-1.0-pro-vision-001',
   image = 'gs://generativeai-downloads/images/scones.jpg',
   mimeType = 'image/jpeg'
 ) {

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Count tokens', async () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI Function Calling Stream Content', () => {
   /**

generative-ai/snippets/test/inference/nonStreamTextBasic.test.js

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI Basic Text Inference', () => {
   /**

generative-ai/snippets/test/inference/streamTextBasic.test.js

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI Basic Text Inference Streaming', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI NonStreaming Chat', async () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI NonStreaming Content', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro-vision';
+const model = 'gemini-1.0-pro-vision-001';
 
 describe('Generative AI NonStreaming Multipart Content', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro-001';
+const model = 'gemini-1.0-pro-002';
 
 describe('Safety settings', async () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro-vision';
+const model = 'gemini-1.0-pro-vision-001';
 
 describe('Generative AI Stream MultiModal with Image', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro-vision';
+const model = 'gemini-1.0-pro-vision-001';
 
 describe('Generative AI Stream MultiModal with Video', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI Stream Chat', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro';
+const model = 'gemini-1.0-pro-002';
 
 describe('Generative AI Stream Content', () => {
   /**

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

@@ -21,7 +21,7 @@ const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 
 const projectId = process.env.CAIP_PROJECT_ID;
 const location = process.env.LOCATION;
-const model = 'gemini-1.0-pro-vision';
+const model = 'gemini-1.0-pro-vision-001';
 
 describe('Generative AI Stream Multipart Content', () => {
   /**