feat(vertex): add Imagen image generation model support

Add support for Imagen 3.0 and 4.0 image generation models in Vertex AI:

- Add 5 Imagen model definitions (4.0, 4.0-ultra, 4.0-fast, 3.0, 3.0-fast)
- Implement :predict action routing for Imagen models
- Convert Imagen request/response format to match Gemini structure like gemini-3-pro-image
- Transform prompts to Imagen's instances/parameters format
- Convert base64 image responses to Gemini-compatible inline data
This commit is contained in:
dinhkarate
2026-01-20 01:26:37 +07:00
parent 5baa753539
commit 8734d4cb90
2 changed files with 256 additions and 27 deletions

View File

@@ -12,6 +12,7 @@ import (
"io"
"net/http"
"strings"
"time"
vertexauth "github.com/router-for-me/CLIProxyAPI/v6/internal/auth/vertex"
"github.com/router-for-me/CLIProxyAPI/v6/internal/config"
@@ -31,6 +32,143 @@ const (
vertexAPIVersion = "v1"
)
// isImagenModel checks if the model name is an Imagen image generation model.
// Imagen models use the :predict action instead of :generateContent.
func isImagenModel(model string) bool {
lowerModel := strings.ToLower(model)
return strings.Contains(lowerModel, "imagen")
}
// getVertexAction returns the appropriate action for the given model.
// Imagen models use "predict", while Gemini models use "generateContent".
func getVertexAction(model string, isStream bool) string {
if isImagenModel(model) {
return "predict"
}
if isStream {
return "streamGenerateContent"
}
return "generateContent"
}
// convertImagenToGeminiResponse converts Imagen API response to Gemini format
// so it can be processed by the standard translation pipeline.
// This ensures Imagen models return responses in the same format as gemini-3-pro-image-preview.
func convertImagenToGeminiResponse(data []byte, model string) []byte {
predictions := gjson.GetBytes(data, "predictions")
if !predictions.Exists() || !predictions.IsArray() {
return data
}
// Build Gemini-compatible response with inlineData
parts := make([]map[string]any, 0)
for _, pred := range predictions.Array() {
imageData := pred.Get("bytesBase64Encoded").String()
mimeType := pred.Get("mimeType").String()
if mimeType == "" {
mimeType = "image/png"
}
if imageData != "" {
parts = append(parts, map[string]any{
"inlineData": map[string]any{
"mimeType": mimeType,
"data": imageData,
},
})
}
}
// Generate unique response ID using timestamp
responseId := fmt.Sprintf("imagen-%d", time.Now().UnixNano())
response := map[string]any{
"candidates": []map[string]any{{
"content": map[string]any{
"parts": parts,
"role": "model",
},
"finishReason": "STOP",
}},
"responseId": responseId,
"modelVersion": model,
// Imagen API doesn't return token counts, set to 0 for tracking purposes
"usageMetadata": map[string]any{
"promptTokenCount": 0,
"candidatesTokenCount": 0,
"totalTokenCount": 0,
},
}
result, err := json.Marshal(response)
if err != nil {
return data
}
return result
}
// convertToImagenRequest converts a Gemini-style request to Imagen API format.
// Imagen API uses a different structure: instances[].prompt instead of contents[].
func convertToImagenRequest(payload []byte) ([]byte, error) {
// Extract prompt from Gemini-style contents
prompt := ""
// Try to get prompt from contents[0].parts[0].text
contentsText := gjson.GetBytes(payload, "contents.0.parts.0.text")
if contentsText.Exists() {
prompt = contentsText.String()
}
// If no contents, try messages format (OpenAI-compatible)
if prompt == "" {
messagesText := gjson.GetBytes(payload, "messages.#.content")
if messagesText.Exists() && messagesText.IsArray() {
for _, msg := range messagesText.Array() {
if msg.String() != "" {
prompt = msg.String()
break
}
}
}
}
// If still no prompt, try direct prompt field
if prompt == "" {
directPrompt := gjson.GetBytes(payload, "prompt")
if directPrompt.Exists() {
prompt = directPrompt.String()
}
}
if prompt == "" {
return nil, fmt.Errorf("imagen: no prompt found in request")
}
// Build Imagen API request
imagenReq := map[string]any{
"instances": []map[string]any{
{
"prompt": prompt,
},
},
"parameters": map[string]any{
"sampleCount": 1,
},
}
// Extract optional parameters
if aspectRatio := gjson.GetBytes(payload, "aspectRatio"); aspectRatio.Exists() {
imagenReq["parameters"].(map[string]any)["aspectRatio"] = aspectRatio.String()
}
if sampleCount := gjson.GetBytes(payload, "sampleCount"); sampleCount.Exists() {
imagenReq["parameters"].(map[string]any)["sampleCount"] = int(sampleCount.Int())
}
if negativePrompt := gjson.GetBytes(payload, "negativePrompt"); negativePrompt.Exists() {
imagenReq["instances"].([]map[string]any)[0]["negativePrompt"] = negativePrompt.String()
}
return json.Marshal(imagenReq)
}
// GeminiVertexExecutor sends requests to Vertex AI Gemini endpoints using service account credentials.
type GeminiVertexExecutor struct {
cfg *config.Config
@@ -160,26 +298,38 @@ func (e *GeminiVertexExecutor) executeWithServiceAccount(ctx context.Context, au
reporter := newUsageReporter(ctx, e.Identifier(), baseModel, auth)
defer reporter.trackFailure(ctx, &err)
from := opts.SourceFormat
to := sdktranslator.FromString("gemini")
var body []byte
originalPayload := bytes.Clone(req.Payload)
if len(opts.OriginalRequest) > 0 {
originalPayload = bytes.Clone(opts.OriginalRequest)
}
originalTranslated := sdktranslator.TranslateRequest(from, to, baseModel, originalPayload, false)
body := sdktranslator.TranslateRequest(from, to, baseModel, bytes.Clone(req.Payload), false)
// Handle Imagen models with special request format
if isImagenModel(baseModel) {
imagenBody, errImagen := convertToImagenRequest(req.Payload)
if errImagen != nil {
return resp, errImagen
}
body = imagenBody
} else {
// Standard Gemini translation flow
from := opts.SourceFormat
to := sdktranslator.FromString("gemini")
body, err = thinking.ApplyThinking(body, req.Model, from.String(), to.String())
if err != nil {
return resp, err
originalPayload := bytes.Clone(req.Payload)
if len(opts.OriginalRequest) > 0 {
originalPayload = bytes.Clone(opts.OriginalRequest)
}
originalTranslated := sdktranslator.TranslateRequest(from, to, baseModel, originalPayload, false)
body = sdktranslator.TranslateRequest(from, to, baseModel, bytes.Clone(req.Payload), false)
body, err = thinking.ApplyThinking(body, req.Model, from.String(), to.String())
if err != nil {
return resp, err
}
body = fixGeminiImageAspectRatio(baseModel, body)
body = applyPayloadConfigWithRoot(e.cfg, baseModel, to.String(), "", body, originalTranslated)
body, _ = sjson.SetBytes(body, "model", baseModel)
}
body = fixGeminiImageAspectRatio(baseModel, body)
body = applyPayloadConfigWithRoot(e.cfg, baseModel, to.String(), "", body, originalTranslated)
body, _ = sjson.SetBytes(body, "model", baseModel)
action := "generateContent"
action := getVertexAction(baseModel, false)
if req.Metadata != nil {
if a, _ := req.Metadata["action"].(string); a == "countTokens" {
action = "countTokens"
@@ -249,6 +399,16 @@ func (e *GeminiVertexExecutor) executeWithServiceAccount(ctx context.Context, au
}
appendAPIResponseChunk(ctx, e.cfg, data)
reporter.publish(ctx, parseGeminiUsage(data))
// For Imagen models, convert response to Gemini format before translation
// This ensures Imagen responses use the same format as gemini-3-pro-image-preview
if isImagenModel(baseModel) {
data = convertImagenToGeminiResponse(data, baseModel)
}
// Standard Gemini translation (works for both Gemini and converted Imagen responses)
from := opts.SourceFormat
to := sdktranslator.FromString("gemini")
var param any
out := sdktranslator.TranslateNonStream(ctx, to, from, req.Model, bytes.Clone(opts.OriginalRequest), body, data, &param)
resp = cliproxyexecutor.Response{Payload: []byte(out)}
@@ -281,7 +441,7 @@ func (e *GeminiVertexExecutor) executeWithAPIKey(ctx context.Context, auth *clip
body = applyPayloadConfigWithRoot(e.cfg, baseModel, to.String(), "", body, originalTranslated)
body, _ = sjson.SetBytes(body, "model", baseModel)
action := "generateContent"
action := getVertexAction(baseModel, false)
if req.Metadata != nil {
if a, _ := req.Metadata["action"].(string); a == "countTokens" {
action = "countTokens"
@@ -384,12 +544,16 @@ func (e *GeminiVertexExecutor) executeStreamWithServiceAccount(ctx context.Conte
body = applyPayloadConfigWithRoot(e.cfg, baseModel, to.String(), "", body, originalTranslated)
body, _ = sjson.SetBytes(body, "model", baseModel)
action := getVertexAction(baseModel, true)
baseURL := vertexBaseURL(location)
url := fmt.Sprintf("%s/%s/projects/%s/locations/%s/publishers/google/models/%s:%s", baseURL, vertexAPIVersion, projectID, location, baseModel, "streamGenerateContent")
if opts.Alt == "" {
url = url + "?alt=sse"
} else {
url = url + fmt.Sprintf("?$alt=%s", opts.Alt)
url := fmt.Sprintf("%s/%s/projects/%s/locations/%s/publishers/google/models/%s:%s", baseURL, vertexAPIVersion, projectID, location, baseModel, action)
// Imagen models don't support streaming, skip SSE params
if !isImagenModel(baseModel) {
if opts.Alt == "" {
url = url + "?alt=sse"
} else {
url = url + fmt.Sprintf("?$alt=%s", opts.Alt)
}
}
body, _ = sjson.DeleteBytes(body, "session_id")
@@ -503,15 +667,19 @@ func (e *GeminiVertexExecutor) executeStreamWithAPIKey(ctx context.Context, auth
body = applyPayloadConfigWithRoot(e.cfg, baseModel, to.String(), "", body, originalTranslated)
body, _ = sjson.SetBytes(body, "model", baseModel)
action := getVertexAction(baseModel, true)
// For API key auth, use simpler URL format without project/location
if baseURL == "" {
baseURL = "https://generativelanguage.googleapis.com"
}
url := fmt.Sprintf("%s/%s/publishers/google/models/%s:%s", baseURL, vertexAPIVersion, baseModel, "streamGenerateContent")
if opts.Alt == "" {
url = url + "?alt=sse"
} else {
url = url + fmt.Sprintf("?$alt=%s", opts.Alt)
url := fmt.Sprintf("%s/%s/publishers/google/models/%s:%s", baseURL, vertexAPIVersion, baseModel, action)
// Imagen models don't support streaming, skip SSE params
if !isImagenModel(baseModel) {
if opts.Alt == "" {
url = url + "?alt=sse"
} else {
url = url + fmt.Sprintf("?$alt=%s", opts.Alt)
}
}
body, _ = sjson.DeleteBytes(body, "session_id")