chore(js/testapps, samples): Remove deprecated model from testapps / samples

js/ai/src/model-types.ts

@@ -174,7 +174,7 @@ export const GenerationCommonConfigSchema = z
     version: z
       .string()
       .describe(
-        'A specific version of a model family, e.g. `gemini-2.0-flash` ' +
+        'A specific version of a model family, e.g. `gemini-2.5-flash` ' +
           'for the `googleai` family.'
       )
       .optional(),

js/core/src/registry.ts

@@ -89,7 +89,7 @@ interface ParsedRegistryKey {
 /**
  * Parses the registry key into key parts as per the key format convention. Ex:
  *  - mcp-host:tool/my-tool
- *  - /model/googleai/gemini-2.0-flash
+ *  - /model/googleai/gemini-2.5-flash
  *  - /prompt/my-plugin/folder/my-prompt
  *  - /util/generate
  */
@@ -125,7 +125,7 @@ export function parseRegistryKey(
     // Invalid key format
     return undefined;
   }
-  // ex: /model/googleai/gemini-2.0-flash or /prompt/my-plugin/folder/my-prompt
+  // ex: /model/googleai/gemini-2.5-flash or /prompt/my-plugin/folder/my-prompt
   if (tokens.length >= 4) {
     return {
       actionType: tokens[1] as ActionType,

js/plugins/google-genai/src/googleai/gemini.ts

@@ -193,10 +193,7 @@ export const GeminiConfigSchema = GenerationCommonConfigSchema.extend({
     .optional(),
   responseModalities: z
     .array(z.enum(['TEXT', 'IMAGE', 'AUDIO']))
-    .describe(
-      'The modalities to be used in response. Only supported for ' +
-        "'gemini-2.0-flash-exp' model at present."
-    )
+    .describe('The modalities to be used in response.')
     .optional(),
   googleSearchRetrieval: z
     .union([z.boolean(), z.object({}).passthrough()])
@@ -426,8 +423,6 @@ const KNOWN_GEMINI_MODELS = {
   'gemini-2.5-pro': commonRef('gemini-2.5-pro'),
   'gemini-2.5-flash': commonRef('gemini-2.5-flash'),
   'gemini-2.5-flash-lite': commonRef('gemini-2.5-flash-lite'),
-  'gemini-2.0-flash': commonRef('gemini-2.0-flash'),
-  'gemini-2.0-flash-lite': commonRef('gemini-2.0-flash-lite'),
 };
 export type KnownGeminiModels = keyof typeof KNOWN_GEMINI_MODELS;
 export type GeminiModelName = `gemini-${string}`;

js/plugins/google-genai/src/vertexai/gemini.ts

@@ -427,10 +427,6 @@ export const KNOWN_GEMINI_MODELS = {
   'gemini-2.5-flash-lite': commonRef('gemini-2.5-flash-lite'),
   'gemini-2.5-pro': commonRef('gemini-2.5-pro'),
   'gemini-2.5-flash': commonRef('gemini-2.5-flash'),
-  'gemini-2.0-flash-001': commonRef('gemini-2.0-flash-001'),
-  'gemini-2.0-flash': commonRef('gemini-2.0-flash'),
-  'gemini-2.0-flash-lite': commonRef('gemini-2.0-flash-lite'),
-  'gemini-2.0-flash-lite-001': commonRef('gemini-2.0-flash-lite-001'),
 } as const;
 export type KnownGeminiModels = keyof typeof KNOWN_GEMINI_MODELS;
 export type GeminiModelName = `gemini-${string}`;

js/plugins/google-genai/tests/googleai/gemini_test.ts

@@ -109,12 +109,12 @@ describe('Google AI Gemini', () => {
     describe('API Key Handling', () => {
       it('throws if no API key is provided', () => {
         assert.throws(() => {
-          defineModel('gemini-2.0-flash');
+          defineModel('gemini-2.5-flash');
         }, MISSING_API_KEY_ERROR);
       });
 
       it('uses API key from pluginOptions', async () => {
-        const model = defineModel('gemini-2.0-flash', {
+        const model = defineModel('gemini-2.5-flash', {
           apiKey: 'plugin-key',
         });
         mockFetchResponse(defaultApiResponse);
@@ -129,7 +129,7 @@ describe('Google AI Gemini', () => {
 
       it('uses API key from GEMINI_API_KEY env var', async () => {
         process.env.GEMINI_API_KEY = 'gemini-key';
-        const model = defineModel('gemini-2.0-flash');
+        const model = defineModel('gemini-2.5-flash');
         mockFetchResponse(defaultApiResponse);
         await model.run(minimalRequest);
         const fetchOptions = fetchStub.lastCall.args[1];
@@ -141,13 +141,13 @@ describe('Google AI Gemini', () => {
 
       it('works if apiKey is false and not in call config', async () => {
         mockFetchResponse(defaultApiResponse);
-        const model = defineModel('gemini-2.0-flash', { apiKey: false });
+        const model = defineModel('gemini-2.5-flash', { apiKey: false });
         assert.ok(await model.run(minimalRequest));
         sinon.assert.calledOnce(fetchStub);
       });
 
       it('uses API key from call config if apiKey is false', async () => {
-        const model = defineModel('gemini-2.0-flash', { apiKey: false });
+        const model = defineModel('gemini-2.5-flash', { apiKey: false });
         mockFetchResponse(defaultApiResponse);
         const request: GenerateRequest<typeof GeminiConfigSchema> = {
           ...minimalRequest,
@@ -430,7 +430,7 @@ describe('Google AI Gemini', () => {
 
     describe('Error Handling', () => {
       it('throws if no candidates are returned', async () => {
-        const model = defineModel('gemini-2.0-flash', defaultPluginOptions);
+        const model = defineModel('gemini-2.5-flash', defaultPluginOptions);
         mockFetchResponse({ candidates: [] });
         await assert.rejects(
           model.run(minimalRequest),
@@ -439,7 +439,7 @@ describe('Google AI Gemini', () => {
       });
 
       it('throws on fetch error', async () => {
-        const model = defineModel('gemini-2.0-flash', defaultPluginOptions);
+        const model = defineModel('gemini-2.5-flash', defaultPluginOptions);
         fetchStub.rejects(new Error('Network error'));
         await assert.rejects(model.run(minimalRequest), /Failed to fetch/);
       });
@@ -458,7 +458,7 @@ describe('Google AI Gemini', () => {
       });
 
       it('API call works with debugTraces: false', async () => {
-        const model = defineModel('gemini-2.0-flash', {
+        const model = defineModel('gemini-2.5-flash', {
           ...defaultPluginOptions,
           experimental_debugTraces: false,
         });
@@ -472,7 +472,7 @@ describe('Google AI Gemini', () => {
 
   describe('gemini() function', () => {
     it('returns a ModelReference for a known model string', () => {
-      const name = 'gemini-2.0-flash';
+      const name = 'gemini-2.5-flash';
       const modelRef = model(name);
       assert.strictEqual(modelRef.name, `googleai/${name}`);
       assert.strictEqual(modelRef.info?.supports?.multiturn, true);

js/plugins/google-genai/tests/googleai/index_test.ts

@@ -214,7 +214,7 @@ describe('GoogleAI Plugin', () => {
 
   describe('googleAI.model', () => {
     it('should return a gemini ModelReference with correct schema', () => {
-      const modelName = 'gemini-2.0-flash';
+      const modelName = 'gemini-2.5-flash';
       const modelRef = googleAI.model(modelName);
       assert.strictEqual(
         modelRef.name,

js/plugins/google-genai/tests/vertexai/gemini_test.ts

@@ -125,7 +125,7 @@ describe('Vertex AI Gemini', () => {
 
   describe('model() function', () => {
     it('returns a ModelReference for a known model string', () => {
-      const name = 'gemini-2.0-flash';
+      const name = 'gemini-2.5-flash';
       const modelRef: ModelReference<typeof GeminiConfigSchema> = model(name);
       assert.strictEqual(modelRef.name, `vertexai/${name}`);
       assert.ok(modelRef.info?.supports?.multiturn);
@@ -159,7 +159,7 @@ describe('Vertex AI Gemini', () => {
     it('applies options to the ModelReference', () => {
       const options = { temperature: 0.9, topK: 20 };
       const modelRef: ModelReference<typeof GeminiConfigSchema> = model(
-        'gemini-2.0-flash',
+        'gemini-2.5-flash',
         options
       );
       assert.deepStrictEqual(modelRef.config, options);

js/plugins/google-genai/tests/vertexai/index_test.ts

@@ -196,7 +196,7 @@ describe('VertexAI Plugin', () => {
 
   describe('Helper Functions', () => {
     it('vertexAI.model should return a ModelReference for Gemini with correct schema', () => {
-      const modelName = 'gemini-2.0-flash';
+      const modelName = 'gemini-2.5-flash';
       const modelRef = vertexAI.model(modelName);
       assert.strictEqual(
         modelRef.name,

js/testapps/basic-gemini/src/index-vertexai.ts

@@ -434,7 +434,7 @@ ai.defineFlow('gemini-image-editing', async (_) => {
   const room = fs.readFileSync('my_room.png', { encoding: 'base64' });
 
   const { media } = await ai.generate({
-    model: vertexAI.model('gemini-2.5-flash-image-preview'),
+    model: vertexAI.model('gemini-2.5-flash-image'),
     prompt: [
       { text: 'add the plant to my room' },
       { media: { url: `data:image/png;base64,${plant}` } },

js/testapps/basic-gemini/src/index.ts

@@ -465,7 +465,7 @@ ai.defineFlow('gemini-image-editing', async (_) => {
   const room = fs.readFileSync('my_room.png', { encoding: 'base64' });
 
   const { media } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash-image-preview'),
+    model: googleAI.model('gemini-2.5-flash-image'),
     prompt: [
       { text: 'add the plant to my room' },
       { media: { url: `data:image/png;base64,${plant}` } },
@@ -746,23 +746,6 @@ async function downloadVideo(video: MediaPart, path: string) {
   Readable.from(videoDownloadResponse.body).pipe(fs.createWriteStream(path));
 }
 
-// Test external URL with Gemini 2.0 (should download and inline)
-ai.defineFlow('external-url-gemini-2.0', async () => {
-  const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.0-flash'),
-    prompt: [
-      { text: 'Describe this image.' },
-      {
-        media: {
-          url: 'https://storage.googleapis.com/generativeai-downloads/images/scones.jpg',
-          contentType: 'image/jpeg',
-        },
-      },
-    ],
-  });
-  return text;
-});
-
 // Test external URL with Gemini 3.0 (should pass as fileUri)
 ai.defineFlow('external-url-gemini-3.0', async () => {
   const { text } = await ai.generate({

samples/js-gemini/src/index.ts

@@ -238,7 +238,7 @@ ai.defineFlow('gemini-image-editing', async (_) => {
   const room = fs.readFileSync('my_room.png', { encoding: 'base64' });
 
   const { media } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash-image-preview'),
+    model: googleAI.model('gemini-2.5-flash-image'),
     prompt: [
       { text: 'add the plant to my room' },
       { media: { url: `data:image/png;base64,${plant}` } },