chore: replacing gemini-1.5-* with gemini-2.5-* where appropriate

.gitignore

@@ -64,3 +64,4 @@ next-env.d.ts
 
 # Code Coverage
 js/plugins/compat-oai/coverage/
+.firebaserc

go/genkit/genkit.go

@@ -556,7 +556,7 @@ func LookupTool(g *Genkit, name string) ai.Tool {
 //	// Define the prompt
 //	capitalPrompt := genkit.DefinePrompt(g, "findCapital",
 //		ai.WithDescription("Finds the capital of a country."),
-//		ai.WithModelName("googleai/gemini-1.5-flash"), // Specify the model
+//		ai.WithModelName("googleai/gemini-2.5-flash"), // Specify the model
 //		ai.WithSystem("You are a helpful geography assistant."),
 //		ai.WithPrompt("What is the capital of {{country}}?"),
 //		ai.WithInputType(GeoInput{Country: "USA"}),

go/samples/prompts-dir/prompts/example.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 config:
   temperature: 0.9
 input:

js/doc-snippets/src/dotprompt/index.ts

@@ -153,7 +153,7 @@ function fn09() {
   // [START definePromptTempl]
   const myPrompt = ai.definePrompt({
     name: 'myPrompt',
-    model: 'googleai/gemini-1.5-flash',
+    model: 'googleai/gemini-2.5-flash',
     input: {
       schema: z.object({
         name: z.string(),
@@ -168,7 +168,7 @@ function fn10() {
   // [START definePromptFn]
   const myPrompt = ai.definePrompt({
     name: 'myPrompt',
-    model: 'googleai/gemini-1.5-flash',
+    model: 'googleai/gemini-2.5-flash',
     input: {
       schema: z.object({
         name: z.string(),

js/doc-snippets/src/dotprompt/prompts/ex01.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 config:
   temperature: 0.9
 input:

js/doc-snippets/src/dotprompt/prompts/ex02.prompt

@@ -1,4 +1,4 @@
 ---
-model: vertexai/gemini-1.5-flash
+model: vertexai/gemini-2.5-flash
 ---
 You are the world's most welcoming AI assistant. Greet the user and offer your assistance.

js/doc-snippets/src/dotprompt/prompts/ex03.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 config:
   temperature: 1.4
   topK: 50

js/doc-snippets/src/dotprompt/prompts/ex04.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 input:
   schema:
     theme?: string

js/doc-snippets/src/dotprompt/prompts/ex05.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 input:
   schema:
     theme?: string

js/doc-snippets/src/dotprompt/prompts/ex06.prompt

@@ -1,5 +1,5 @@
 ---
-model: vertexai/gemini-1.5-flash
+model: vertexai/gemini-2.5-flash
 input:
   schema:
     userQuestion: string

js/doc-snippets/src/dotprompt/prompts/ex08.prompt

@@ -1,5 +1,5 @@
 ---
-model: vertexai/gemini-1.5-flash
+model: vertexai/gemini-2.5-flash
 input:
   schema:
     photoUrl: string

js/genkit/src/genkit.ts

@@ -658,7 +658,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: gemini15Flash, // default model
+   *   model: googleAI.model('gemini-2.5-flash'), // default model
    * })
    *
    * const { text } = await ai.generate('hi');
@@ -674,7 +674,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: gemini15Flash, // default model
+   *   model: googleAI.model('gemini-2.5-flash'), // default model
    * })
    *
    * const { text } = await ai.generate([
@@ -708,7 +708,7 @@ export class Genkit implements HasRegistry {
    *   ],
    *   messages: conversationHistory,
    *   tools: [ userInfoLookup ],
-   *   model: gemini15Flash,
+   *   model: googleAI.model('gemini-2.5-flash'),
    * });
    * ```
    */
@@ -750,7 +750,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: gemini15Flash, // default model
+   *   model: googleAI.model('gemini-2.5-flash'), // default model
    * })
    *
    * const { response, stream } = ai.generateStream('hi');
@@ -770,7 +770,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: gemini15Flash, // default model
+   *   model: googleAI.model('gemini-2.5-flash'), // default model
    * })
    *
    * const { response, stream } = ai.generateStream([
@@ -808,7 +808,7 @@ export class Genkit implements HasRegistry {
    *   ],
    *   messages: conversationHistory,
    *   tools: [ userInfoLookup ],
-   *   model: gemini15Flash,
+   *   model: googleAI.model('gemini-2.5-flash'),
    * });
    * for await (const chunk of stream) {
    *   console.log(chunk.text);

js/genkit/tests/prompts/badSchemaRef.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 input:
   schema: badSchemaRef1
 output:

js/genkit/tests/prompts/schemaRef.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-1.5-flash
+model: googleai/gemini-2.5-flash
 input:
   schema: myInputSchema
 output:

js/plugins/checks/README.md

@@ -37,7 +37,7 @@ import {
 } from '@genkit-ai/checks';
 
 // Import any models you would like to use.
-import { gemini15Flash, googleAI } from '@genkit-ai/googleai';
+import { googleAI } from '@genkit-ai/google-genai';
 
 export const ai = genkit({
   plugins: [
@@ -53,7 +53,7 @@ export const poemFlow = ai.defineFlow(
   },
   async (topic) => {
     const { text } = await ai.generate({
-      model: gemini15Flash,
+      model: googleAI.model('gemini-2.5-flash'),
       prompt: `Write a poem on this topic: ${topic}`,
       // Add checks middleware to your generate calls.
       use: [

js/plugins/dev-local-vectorstore/README.md

@@ -14,11 +14,7 @@ npm i --save @genkit-ai/dev-local-vectorstore
 
 ```ts
 import { Document, genkit } from 'genkit';
-import {
-  googleAI,
-  gemini20Flash, // Replaced gemini15Flash with gemini20Flash
-  textEmbeddingGecko001,
-} from '@genkit-ai/googleai';
+import { googleAI } from '@genkit-ai/google-genai';
 import {
   devLocalVectorstore,
   devLocalIndexerRef,
@@ -31,11 +27,11 @@ const ai = genkit({
     devLocalVectorstore([
       {
         indexName: 'BobFacts',
-        embedder: textEmbeddingGecko001,
+        embedder: googleAI.embedder('text-embedding-004'),
       },
     ]),
   ],
-  model: gemini20Flash, // Use gemini20Flash
+  model: googleAI.model('gemini-2.5-flash'),
 });
 
 // Reference to a local vector database storing Genkit documentation

js/plugins/express/README.md

@@ -20,7 +20,7 @@ import express from 'express';
 
 const simpleFlow = ai.defineFlow('simpleFlow', async (input, { sendChunk }) => {
   const { text } = await ai.generate({
-    model: gemini15Flash,
+    model: googleAI.model('gemini-2.5-flash'),
     prompt: input,
     onChunk: (c) => sendChunk(c.text),
   });

js/plugins/google-genai/src/common/types.ts

@@ -933,7 +933,6 @@ export declare interface GenerationConfig {
   /**
    * Optional. Positive values penalize tokens that repeatedly appear in the generated text, decreasing the probability of repeating content.
    * This maximum value for frequencyPenalty is up to, but not including, 2.0. Its minimum value is -2.0.
-   * Supported by gemini-1.5-pro and gemini-1.5-flash only. */
   frequencyPenalty?: number;
   /**
    * Google AI Only. If True, export the logprobs results in response.

js/plugins/google-genai/tests/common/utils_test.ts

@@ -62,8 +62,8 @@ describe('Common Utils', () => {
     });
 
     it('should extract version from name if version field is missing', () => {
-      const ref = modelRef({ name: 'vertexai/gemini-1.5-flash' });
-      assert.strictEqual(extractVersion(ref), 'gemini-1.5-flash');
+      const ref = modelRef({ name: 'vertexai/gemini-2.5-flash' });
+      assert.strictEqual(extractVersion(ref), 'gemini-2.5-flash');
     });
 
     it('should work with embedderRef', () => {
@@ -79,8 +79,8 @@ describe('Common Utils', () => {
         'gemini-1.5-pro'
       );
       assert.strictEqual(
-        modelName('vertexai/gemini-1.5-flash'),
-        'gemini-1.5-flash'
+        modelName('vertexai/gemini-2.5-flash'),
+        'gemini-2.5-flash'
       );
       assert.strictEqual(modelName('model/foo'), 'foo');
       assert.strictEqual(modelName('embedders/bar'), 'bar');

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

@@ -487,7 +487,7 @@ describe('GoogleAI Plugin', () => {
     it('should filter out deprecated models', async () => {
       const mockModels = [
         {
-          name: 'models/gemini-1.5-flash',
+          name: 'models/gemini-2.5-flash',
           supportedGenerationMethods: ['generateContent'],
         },
         {
@@ -517,7 +517,7 @@ describe('GoogleAI Plugin', () => {
       const plugin = googleAI();
       const actions = await plugin.list!();
       const actionNames = actions.map((a) => a.name);
-      assert.deepStrictEqual(actionNames, ['googleai/gemini-1.5-flash']);
+      assert.deepStrictEqual(actionNames, ['googleai/gemini-2.5-flash']);
     });
 
     it('should handle fetch errors gracefully', async () => {

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

@@ -354,7 +354,7 @@ describe('VertexAI Plugin', () => {
       });
 
       it('should use auth token for Gemini generateContent', async () => {
-        const modelRef = vertexAI.model('gemini-1.5-flash');
+        const modelRef = vertexAI.model('gemini-2.5-flash');
         const generateAction = await ai.registry.lookupAction(
           '/model/' + modelRef.name
         );
@@ -442,7 +442,7 @@ describe('VertexAI Plugin', () => {
       });
 
       it('should use API key for Gemini generateContent', async () => {
-        const modelRef = vertexAI.model('gemini-1.5-flash');
+        const modelRef = vertexAI.model('gemini-2.5-flash');
         const generateAction = await ai.registry.lookupAction(
           '/model/' + modelRef.name
         );
@@ -537,7 +537,7 @@ describe('VertexAI Plugin', () => {
       });
 
       it('should use API key for Gemini generateContent', async () => {
-        const modelRef = vertexAI.model('gemini-1.5-flash');
+        const modelRef = vertexAI.model('gemini-2.5-flash');
         const generateAction = await ai.registry.lookupAction(
           '/model/' + modelRef.name
         );

js/plugins/googleai/README.md

@@ -14,7 +14,7 @@ import { googleAI, gemini } from '@genkit-ai/googleai';
 
 const ai = genkit({
   plugins: [googleAI()],
-  model: gemini('gemini-1.5-flash'),
+  model: gemini('gemini-2.5-flash'),
 });
 
 async () => {

js/plugins/next/README.md

@@ -10,7 +10,7 @@ const simpleFlow = ai.defineFlow(
   'simpleFlow',
   async (input, streamingCallback) => {
     const { text } = await ai.generate({
-      model: gemini15Flash,
+      model: googleAI.model('gemini-2.5-flash'),
       prompt: input,
       streamingCallback: (chunk) => streamingCallback(chunk.text),
     });

js/plugins/vertexai/README.md

@@ -10,11 +10,11 @@ npm i --save @genkit-ai/vertexai
 
 ```ts
 import { genkit } from 'genkit';
-import { vertexAI, gemini, gemini15Flash } from '@genkit-ai/vertexai';
+import { vertexAI } from '@genkit-ai/vertexai';
 
 const ai = genkit({
   plugins: [vertexAI()],
-  model: gemini15Flash,
+  model: vertexAI.model('gemini-2.5-flash'),
 });
 
 async () => {