chore(go): replace gemini-1.5* and gemini-2.0* references with gemini-2.5*

go/genkit/genkit.go

@@ -138,7 +138,7 @@ func WithPromptDir(dir string) GenkitOption {
 //		// Assumes a prompt file at ./prompts/jokePrompt.prompt
 //		g := genkit.Init(ctx,
 //			genkit.WithPlugins(&googlegenai.GoogleAI{}),
-//			genkit.WithDefaultModel("googleai/gemini-2.0-flash"),
+//			genkit.WithDefaultModel("googleai/gemini-2.5-flash"),
 //			genkit.WithPromptDir("./prompts"),
 //		)
 //
@@ -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"}),
@@ -637,7 +637,7 @@ func GenerateWithRequest(ctx context.Context, g *Genkit, actionOpts *ai.Generate
 // Example:
 //
 //	resp, err := genkit.Generate(ctx, g,
-//		ai.WithModelName("googleai/gemini-2.0-flash"),
+//		ai.WithModelName("googleai/gemini-2.5-flash"),
 //		ai.WithPrompt("Write a short poem about clouds."),
 //		ai.WithConfig(&genai.GenerateContentConfig{MaxOutputTokens: 50}),
 //	)

go/plugins/googlecloud/generate_test.go

@@ -29,10 +29,10 @@ func TestGenerateTelemetry_PipelineIntegration(t *testing.T) {
 
 	// Create span using the TracerProvider - this triggers the full pipeline
 	ctx := context.Background()
-	_, span := f.tracer.Start(ctx, "googleai/gemini-2.0-pro-flash")
+	_, span := f.tracer.Start(ctx, "googleai/gemini-2.5-pro")
 
 	span.SetAttributes(
-		attribute.String("genkit:name", "googleai/gemini-2.0-pro-flash"),
+		attribute.String("genkit:name", "googleai/gemini-2.5-pro"),
 		attribute.String("genkit:metadata:subtype", "model"),
 		attribute.String("genkit:path", "/{chatFlow,t:flow}/{generate,t:action}"),
 		attribute.String("genkit:input", inputJSON),
@@ -74,11 +74,11 @@ func TestGenerateTelemetry_MetricCapture(t *testing.T) {
 			name: "successful generation captures all metrics",
 			attrs: map[string]string{
 				"genkit:type":             "action",
-				"genkit:name":             "googleai/gemini-2.0-pro-flash",
+				"genkit:name":             "googleai/gemini-2.5-pro",
 				"genkit:metadata:subtype": "model",
 				"genkit:path":             "/{chatFlow,t:flow}/{generate,t:action}",
 			},
-			inputJSON:            `{"model":"googleai/gemini-2.5-flash","messages":[{"content":[{"text":"Hello world"}],"role":"user"}]}`,
+			inputJSON:            `{"model":"googleai/gemini-2.5-pro","messages":[{"content":[{"text":"Hello world"}],"role":"user"}]}`,
 			outputJSON:           `{"message":{"content":[{"text":"Hello! How can I help you today?"}],"role":"model"},"usage":{"inputTokens":12,"outputTokens":8,"inputCharacters":11,"outputCharacters":33,"inputImages":1,"outputImages":0},"latencyMs":342.5}`,
 			expectMetrics:        true,
 			expectedStatus:       "success",
@@ -98,11 +98,11 @@ func TestGenerateTelemetry_MetricCapture(t *testing.T) {
 			name: "failed generation captures error metrics",
 			attrs: map[string]string{
 				"genkit:type":             "action",
-				"genkit:name":             "googleai/gemini-2.0-pro-flash",
+				"genkit:name":             "googleai/gemini-2.5-pro",
 				"genkit:metadata:subtype": "model",
 				"genkit:path":             "/{errorFlow,t:flow}/{generate,t:action}",
 			},
-			inputJSON:            `{"model":"googleai/gemini-2.5-flash","messages":[{"content":[{"text":"Invalid prompt"}],"role":"user"}]}`,
+			inputJSON:            `{"model":"googleai/gemini-2.5-pro","messages":[{"content":[{"text":"Invalid prompt"}],"role":"user"}]}`,
 			outputJSON:           `{"usage":{"inputCharacters":14}}`,
 			expectMetrics:        true,
 			expectedStatus:       "failure",
@@ -116,11 +116,11 @@ func TestGenerateTelemetry_MetricCapture(t *testing.T) {
 			name: "generation with video and audio captures multimedia metrics",
 			attrs: map[string]string{
 				"genkit:type":             "action",
-				"genkit:name":             "googleai/gemini-2.0-pro-flash",
+				"genkit:name":             "googleai/gemini-2.5-pro-flash",
 				"genkit:metadata:subtype": "model",
 				"genkit:path":             "/{multimediaFlow,t:flow}/{generate,t:action}",
 			},
-			inputJSON:            `{"model":"googleai/gemini-2.5-flash","messages":[{"content":[{"text":"Analyze this video and audio"}],"role":"user"}]}`,
+			inputJSON:            `{"model":"googleai/gemini-2.5-pro","messages":[{"content":[{"text":"Analyze this video and audio"}],"role":"user"}]}`,
 			outputJSON:           `{"message":{"content":[{"text":"Analysis complete"}],"role":"model"},"usage":{"inputTokens":5,"outputTokens":3,"inputCharacters":26,"outputCharacters":17,"inputImages":0,"outputImages":1,"inputVideos":2,"outputVideos":0,"inputAudioFiles":1,"outputAudioFiles":0},"latencyMs":1250.3}`,
 			expectMetrics:        true,
 			expectedStatus:       "success",

go/plugins/googlegenai/cache_test.go

@@ -79,7 +79,7 @@ func TestGetContentForCache_Invalid(t *testing.T) {
 			},
 		},
 	}
-	err := validateContextCacheRequest(req, "gemini-1.5-fash-001")
+	err := validateContextCacheRequest(req, "gemini-2.5-fash")
 	if err == nil {
 		t.Fatal("expecting error, system instructions are not supported with Context Cache")
 	}
@@ -89,7 +89,7 @@ func TestValidateContextCacheRequest_HasTools(t *testing.T) {
 	req := &ai.ModelRequest{
 		Tools: []*ai.ToolDefinition{{Name: "someTool"}},
 	}
-	err := validateContextCacheRequest(req, "gemini-1.5-flash-001")
+	err := validateContextCacheRequest(req, "gemini-2.5-flash")
 	if err == nil {
 		t.Fatal("expected error if Tools are present")
 	}
@@ -100,7 +100,7 @@ func TestValidateContextCacheRequest_HasTools(t *testing.T) {
 
 func TestValidateContextCacheRequest_Valid(t *testing.T) {
 	req := &ai.ModelRequest{}
-	err := validateContextCacheRequest(req, "gemini-1.5-flash-001")
+	err := validateContextCacheRequest(req, "gemini-2.5-flash")
 	if err != nil {
 		t.Fatalf("did not expect error, got: %v", err)
 	}

go/plugins/googlegenai/googleai_live_test.go

@@ -66,7 +66,7 @@ func TestGoogleAILive(t *testing.T) {
 	ctx := context.Background()
 
 	g := genkit.Init(ctx,
-		genkit.WithDefaultModel("googleai/gemini-2.0-flash"),
+		genkit.WithDefaultModel("googleai/gemini-2.5-flash"),
 		genkit.WithPlugins(&googlegenai.GoogleAI{APIKey: apiKey}),
 	)
 
@@ -359,7 +359,7 @@ func TestGoogleAILive(t *testing.T) {
 			ai.WithMessages(
 				ai.NewUserMessage(
 					ai.NewTextPart("do you what animal is in the image?"),
-					ai.NewMediaPart("image/jpg", "data:image/jpg;base64,"+i),
+					ai.NewMediaPart("image/jpeg", "data:image/jpeg;base64,"+i),
 				),
 			),
 		)
@@ -396,7 +396,7 @@ func TestGoogleAILive(t *testing.T) {
 			ai.WithMessages(
 				ai.NewUserMessage(
 					ai.NewTextPart("do you know who's in the image?"),
-					ai.NewDataPart("data:image/jpg;base64,"+i),
+					ai.NewDataPart("data:image/jpeg;base64,"+i),
 				),
 			),
 		)
@@ -408,7 +408,7 @@ func TestGoogleAILive(t *testing.T) {
 		}
 	})
 	t.Run("image generation", func(t *testing.T) {
-		m := googlegenai.GoogleAIModel(g, "gemini-2.0-flash-preview-image-generation")
+		m := googlegenai.GoogleAIModel(g, "gemini-2.5-flash-image")
 		resp, err := genkit.Generate(ctx, g,
 			ai.WithConfig(genai.GenerateContentConfig{
 				ResponseModalities: []string{"IMAGE", "TEXT"},
@@ -602,8 +602,8 @@ func TestCacheHelper(t *testing.T) {
 
 func fetchImgAsBase64() (string, error) {
 	// CC0 license image
-	imgUrl := "https://pd.w.org/2025/07/896686fbbcd9990c9.84605288-2048x1365.jpg"
-	resp, err := http.Get(imgUrl)
+	imgURL := "https://pd.w.org/2025/07/896686fbbcd9990c9.84605288-2048x1365.jpg"
+	resp, err := http.Get(imgURL)
 	if err != nil {
 		return "", err
 	}

go/plugins/googlegenai/vertexai_live_test.go

@@ -44,11 +44,11 @@ func TestVertexAILive(t *testing.T) {
 
 	ctx := context.Background()
 	g := genkit.Init(ctx,
-		genkit.WithDefaultModel("vertexai/gemini-2.0-flash"),
+		genkit.WithDefaultModel("vertexai/gemini-2.5-flash"),
 		genkit.WithPlugins(&googlegenai.VertexAI{ProjectID: projectID, Location: location}),
 	)
 
-	embedder := googlegenai.VertexAIEmbedder(g, "textembedding-gecko@003")
+	embedder := googlegenai.VertexAIEmbedder(g, "gemini-embedding-001")
 
 	gablorkenTool := genkit.DefineTool(g, "gablorken", "use this tool when the user asks to calculate a gablorken",
 		func(ctx *ai.ToolContext, input struct {
@@ -267,7 +267,7 @@ func TestVertexAILive(t *testing.T) {
 		if location != "global" {
 			t.Skipf("image generation in Vertex AI is only supported in region: global, got: %s", location)
 		}
-		m := googlegenai.VertexAIModel(g, "gemini-2.0-flash-preview-image-generation")
+		m := googlegenai.VertexAIModel(g, "gemini-2.5-flash-image")
 		resp, err := genkit.Generate(ctx, g,
 			ai.WithConfig(genai.GenerateContentConfig{
 				ResponseModalities: []string{"IMAGE", "TEXT"},
@@ -332,7 +332,7 @@ func TestVertexAILive(t *testing.T) {
 			t.Skipf("thinking in Vertex AI is only supported in these regions: [global, us-central1], got: %q", location)
 		}
 
-		m := googlegenai.VertexAIModel(g, "gemini-2.5-flash-preview-05-20")
+		m := googlegenai.VertexAIModel(g, "gemini-2.5-flash")
 		resp, err := genkit.Generate(ctx, g,
 			ai.WithConfig(
 				genai.GenerateContentConfig{
@@ -364,7 +364,7 @@ func TestVertexAILive(t *testing.T) {
 			t.Skipf("thinking in Vertex AI is only supported in these regions: [global, us-central1], got: %q", location)
 		}
 
-		m := googlegenai.VertexAIModel(g, "gemini-2.5-flash-preview-05-20")
+		m := googlegenai.VertexAIModel(g, "gemini-2.5-flash")
 		resp, err := genkit.Generate(ctx, g,
 			ai.WithConfig(
 				genai.GenerateContentConfig{

go/samples/basic-gemini-with-context/main.go

@@ -36,7 +36,7 @@ func main() {
 	// Define a simple flow that generates jokes about a given topic with a context of bananas
 	genkit.DefineFlow(g, "contextFlow", func(ctx context.Context, input string) (string, error) {
 		resp, err := genkit.Generate(ctx, g,
-			ai.WithModelName("googleai/gemini-2.0-flash"),
+			ai.WithModelName("googleai/gemini-2.5-flash"),
 			ai.WithConfig(&genai.GenerateContentConfig{
 				Temperature: genai.Ptr[float32](1.0),
 			}),

go/samples/cache-gemini/main.go

@@ -19,7 +19,6 @@ package main
 import (
 	"context"
 	"errors"
-
 	"os"
 
 	"github.com/firebase/genkit/go/ai"
@@ -37,7 +36,7 @@ type duneQuestionInput struct {
 func main() {
 	ctx := context.Background()
 	g := genkit.Init(ctx,
-		genkit.WithDefaultModel("googleai/gemini-2.5-flash-preview-04-17"),
+		genkit.WithDefaultModel("googleai/gemini-2.5-flash"),
 		genkit.WithPlugins(&googlegenai.GoogleAI{}),
 	)
 

go/samples/code-execution-gemini/main.go

@@ -18,7 +18,6 @@ import (
 	"context"
 	"errors"
 	"fmt"
-
 	"strings"
 
 	"github.com/firebase/genkit/go/ai"
@@ -35,7 +34,7 @@ func main() {
 
 	// Define a flow to demonstrate code execution
 	genkit.DefineFlow(g, "codeExecutionFlow", func(ctx context.Context, _ any) (string, error) {
-		m := googlegenai.GoogleAIModel(g, "gemini-2.5-flash-preview-04-17")
+		m := googlegenai.GoogleAIModel(g, "gemini-2.5-flash")
 		if m == nil {
 			return "", errors.New("failed to find model")
 		}

go/samples/coffee-shop/main.go

@@ -99,11 +99,11 @@ type testAllCoffeeFlowsOutput struct {
 func main() {
 	ctx := context.Background()
 	g := genkit.Init(ctx,
-		genkit.WithDefaultModel("googleai/gemini-2.0-flash"),
+		genkit.WithDefaultModel("googleai/gemini-2.5-flash"),
 		genkit.WithPlugins(&googlegenai.GoogleAI{}),
 	)
 
-	m := googlegenai.GoogleAIModel(g, "gemini-2.0-flash")
+	m := googlegenai.GoogleAIModel(g, "gemini-2.5-flash")
 	simpleGreetingPrompt := genkit.DefinePrompt(g, "simpleGreeting2",
 		ai.WithPrompt(simpleGreetingPromptTemplate),
 		ai.WithModel(m),

go/samples/files-api-vision/main.go

@@ -63,7 +63,7 @@ func main() {
 	// Use Files API URI directly with Genkit (now supported!)
 	fmt.Println("Analyzing image with Genkit using Files API URI...")
 	resp, err := genkit.Generate(ctx, g,
-		ai.WithModelName("googleai/gemini-2.0-flash"),
+		ai.WithModelName("googleai/gemini-2.5-flash"),
 		ai.WithMessages(
 			ai.NewUserMessage(
 				ai.NewTextPart("What do you see in this image?"),

go/samples/imagen-gemini/main.go

@@ -36,7 +36,7 @@ func main() {
 
 	// Define a simple flow that generates an image of a given topic
 	genkit.DefineFlow(g, "imageFlow", func(ctx context.Context, input string) ([]string, error) {
-		m := googlegenai.GoogleAIModel(g, "gemini-2.0-flash-exp")
+		m := googlegenai.GoogleAIModel(g, "gemini-2.5-flash-image")
 		if m == nil {
 			return nil, errors.New("imageFlow: failed to find model")
 		}

go/samples/mcp-ception/mcp_ception.go

@@ -137,7 +137,7 @@ func mcpSelfConnection() {
 	// Initialize Genkit with Google AI for the client
 	g := genkit.Init(ctx,
 		genkit.WithPlugins(&googlegenai.GoogleAI{}),
-		genkit.WithDefaultModel("googleai/gemini-2.0-flash"),
+		genkit.WithDefaultModel("googleai/gemini-2.5-flash"),
 	)
 
 	// Server process is spawned automatically via stdio

go/samples/mcp-client/main.go

@@ -57,7 +57,7 @@ func clientExample() {
 	}
 
 	response, err := genkit.Generate(ctx, g,
-		ai.WithModelName("googleai/gemini-2.5-pro-preview-05-06"),
+		ai.WithModelName("googleai/gemini-2.5-pro"),
 		ai.WithPrompt("Convert the current time from New York to London timezone."),
 		ai.WithTools(toolRefs...),
 		ai.WithToolChoice(ai.ToolChoiceAuto),
@@ -109,7 +109,7 @@ func managerExample() {
 	}
 
 	response, err := genkit.Generate(ctx, g,
-		ai.WithModelName("googleai/gemini-2.5-pro-preview-05-06"),
+		ai.WithModelName("googleai/gemini-2.5-pro"),
 		ai.WithPrompt("What time is it in New York and Tokyo?"),
 		ai.WithTools(toolRefs...),
 		ai.WithToolChoice(ai.ToolChoiceAuto),

go/samples/mcp-server/client.go

@@ -66,7 +66,7 @@ func client() {
 	logger.FromContext(ctx).Info("Starting demo: Fetch and summarize content")
 
 	response, err := genkit.Generate(ctx, g,
-		ai.WithModelName("googleai/gemini-2.5-pro-preview-05-06"),
+		ai.WithModelName("googleai/gemini-2.5-pro"),
 		ai.WithPrompt("Fetch content from https://httpbin.org/json and give me a summary of what you find"),
 		ai.WithTools(toolRefs...),
 		ai.WithToolChoice(ai.ToolChoiceAuto),

go/samples/menu/main.go

@@ -62,7 +62,7 @@ func main() {
 	ctx := context.Background()
 	g := genkit.Init(ctx, genkit.WithPlugins(&googlegenai.VertexAI{}))
 
-	model := googlegenai.VertexAIModel(g, "gemini-2.0-flash")
+	model := googlegenai.VertexAIModel(g, "gemini-2.5-flash")
 	embedder := googlegenai.VertexAIEmbedder(g, "text-embedding-004")
 
 	if err := setup01(g, model); err != nil {

go/samples/partials-and-helpers/main.go

@@ -35,7 +35,7 @@ func main() {
 	})
 
 	g := genkit.Init(ctx,
-		genkit.WithDefaultModel("googleai/gemini-2.0-flash"),
+		genkit.WithDefaultModel("googleai/gemini-2.5-flash"),
 		genkit.WithPlugins(&googlegenai.GoogleAI{}),
 	)
 

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:

go/samples/prompts/prompts/countries.prompt

@@ -1,5 +1,5 @@
 ---
-model: googleai/gemini-2.0-flash
+model: googleai/gemini-2.5-flash
 config:
   temperature: 0.5
 output:

go/samples/rag/main.go

@@ -106,7 +106,7 @@ func main() {
 	}
 
 	simpleQaPrompt := genkit.DefinePrompt(g, "simpleQaPrompt",
-		ai.WithModelName("googleai/gemini-2.0-flash"),
+		ai.WithModelName("googleai/gemini-2.5-flash"),
 		ai.WithPrompt(simpleQaPromptTemplate),
 		ai.WithInputType(simpleQaPromptInput{}),
 		ai.WithOutputFormat(ai.OutputFormatText),

go/samples/vectorsearch-biqguery/main.go

@@ -84,7 +84,7 @@ func main() {
 			Location:  vectorsearchPlugin.Location,
 		}, vectorsearchPlugin))
 
-	model := googlegenai.VertexAIModel(g, "gemini-2.0-flash")
+	model := googlegenai.VertexAIModel(g, "gemini-2.5-flash")
 
 	// Create a BigQuery client.
 	bqClient, err := bigquery.NewClient(ctx, vectorsearchPlugin.ProjectID)

go/samples/vectorsearch-firestore/main.go

@@ -84,7 +84,7 @@ func main() {
 			Location:  vectorsearchPlugin.Location,
 		}, vectorsearchPlugin))
 
-	model := googlegenai.VertexAIModel(g, "gemini-2.0-flash")
+	model := googlegenai.VertexAIModel(g, "gemini-2.5-flash")
 
 	databaseId := "${FIRESTORE_DATABASE_ID}"         // Replace with your Firestore database ID
 	collectionName := "${FIRESTORE_COLLECTION_NAME}" // Replace with your Firestore collection name