feat(api, xai): integrate xAI Grok image models and extend API endpoints for image support

- Added new xAI Grok image models (`grok-imagine-image`, `grok-imagine-image-quality`) with high-fidelity and aspect ratio configurations.
- Extended `isSupportedImagesModel` logic to validate xAI models.
- Implemented API request builders for image generation/editing with customizable options (e.g., resolution, aspect ratio, response format).
- Enhanced `/v1/images` endpoints to handle xAI model capabilities, including response normalization and model-specific handlers.
- Updated unit tests to validate xAI model validation, request structure, and API integration.

README.md

@@ -2,7 +2,7 @@
 
 English | [中文](README_CN.md) | [日本語](README_JA.md)
 
-A proxy server that provides OpenAI/Gemini/Claude/Codex compatible API interfaces for CLI.
+A proxy server that provides OpenAI/Gemini/Claude/Codex/Grok compatible API interfaces for CLI.
 
 It now also supports OpenAI Codex (GPT models) and Claude Code via OAuth.
 
@@ -41,20 +41,22 @@ VisionCoder is also offering our users a limited-time <a href="https://coder.vis
 
 ## Overview
 
-- OpenAI/Gemini/Claude compatible API endpoints for CLI models
+- OpenAI/Gemini/Claude/Grok compatible API endpoints for CLI models
 - OpenAI Codex support (GPT models) via OAuth login
 - Claude Code support via OAuth login
+- Grok Build support via OAuth login
 - Amp CLI and IDE extensions support with provider routing
 - Streaming, non-streaming, and WebSocket responses where supported
 - Function calling/tools support
 - Multimodal input support (text and images)
-- Multiple accounts with round-robin load balancing (Gemini, OpenAI, Claude)
+- Multiple accounts with round-robin load balancing (Gemini, OpenAI, Claude, Grok)
-- Simple CLI authentication flows (Gemini, OpenAI, Claude)
+- Simple CLI authentication flows (Gemini, OpenAI, Claude, Grok)
 - Generative Language API Key support
 - AI Studio Build multi-account load balancing
 - Gemini CLI multi-account load balancing
 - Claude Code multi-account load balancing
 - OpenAI Codex multi-account load balancing
+- Grok Build multi-account load balancing
 - OpenAI-compatible upstream providers via config (e.g., OpenRouter)
 - Reusable Go SDK for embedding the proxy (see `docs/sdk-usage.md`)
 

README_CN.md

@@ -2,7 +2,7 @@
 
 [English](README.md) | 中文 | [日本語](README_JA.md)
 
-一个为 CLI 提供 OpenAI/Gemini/Claude/Codex 兼容 API 接口的代理服务器。
+一个为 CLI 提供 OpenAI/Gemini/Claude/Codex/Grok 兼容 API 接口的代理服务器。
 
 现已支持通过 OAuth 登录接入 OpenAI Codex（GPT 系列）和 Claude Code。
 
@@ -42,19 +42,21 @@ VisionCoder 还为我们的用户提供 <a href="https://coder.visioncoder.cn" t
 
 ## 功能特性
 
-- 为 CLI 模型提供 OpenAI/Gemini/Claude/Codex 兼容的 API 端点
+- 为 CLI 模型提供 OpenAI/Gemini/Claude/Codex/Grok 兼容的 API 端点
 - 新增 OpenAI Codex（GPT 系列）支持（OAuth 登录）
 - 新增 Claude Code 支持（OAuth 登录）
+- 新增 Grok Build 支持（OAuth 登录）
 - 支持流式、非流式响应，以及受支持场景下的 WebSocket 响应
 - 函数调用/工具支持
 - 多模态输入（文本、图片）
-- 多账户支持与轮询负载均衡（Gemini、OpenAI、Claude）
+- 多账户支持与轮询负载均衡（Gemini、OpenAI、Claude、Grok）
-- 简单的 CLI 身份验证流程（Gemini、OpenAI、Claude）
+- 简单的 CLI 身份验证流程（Gemini、OpenAI、Claude、Grok）
 - 支持 Gemini AIStudio API 密钥
 - 支持 AI Studio Build 多账户轮询
 - 支持 Gemini CLI 多账户轮询
 - 支持 Claude Code 多账户轮询
 - 支持 OpenAI Codex 多账户轮询
+- 支持 Grok Build 多账户轮询
 - 通过配置接入上游 OpenAI 兼容提供商（例如 OpenRouter）
 - 可复用的 Go SDK（见 `docs/sdk-usage_CN.md`）
 

README_JA.md

@@ -2,7 +2,7 @@
 
 [English](README.md) | [中文](README_CN.md) | 日本語
 
-CLI向けのOpenAI/Gemini/Claude/Codex互換APIインターフェースを提供するプロキシサーバーです。
+CLI向けのOpenAI/Gemini/Claude/Codex/Grok互換APIインターフェースを提供するプロキシサーバーです。
 
 OAuth経由でOpenAI Codex（GPTモデル）およびClaude Codeもサポートしています。
 
@@ -39,20 +39,22 @@ PackyCodeは当ソフトウェアのユーザーに特別割引を提供して
 
 ## 概要
 
-- CLIモデル向けのOpenAI/Gemini/Claude互換APIエンドポイント
+- CLIモデル向けのOpenAI/Gemini/Claude/Grok互換APIエンドポイント
 - OAuthログインによるOpenAI Codexサポート（GPTモデル）
 - OAuthログインによるClaude Codeサポート
+- OAuthログインによるGrok Buildサポート
 - プロバイダールーティングによるAmp CLIおよびIDE拡張機能のサポート
 - ストリーミング、非ストリーミング、および対応環境でのWebSocketレスポンス
 - 関数呼び出し/ツールのサポート
 - マルチモーダル入力サポート（テキストと画像）
-- ラウンドロビン負荷分散による複数アカウント対応（Gemini、OpenAI、Claude）
+- ラウンドロビン負荷分散による複数アカウント対応（Gemini、OpenAI、Claude、Grok）
-- シンプルなCLI認証フロー（Gemini、OpenAI、Claude）
+- シンプルなCLI認証フロー（Gemini、OpenAI、Claude、Grok）
 - Generative Language APIキーのサポート
 - AI Studioビルドのマルチアカウント負荷分散
 - Gemini CLIのマルチアカウント負荷分散
 - Claude Codeのマルチアカウント負荷分散
 - OpenAI Codexのマルチアカウント負荷分散
+- Grok Buildのマルチアカウント負荷分散
 - 設定によるOpenAI互換アップストリームプロバイダー（例：OpenRouter）
 - プロキシ埋め込み用の再利用可能なGo SDK（`docs/sdk-usage.md`を参照）
 

internal/registry/model_definitions.go

@@ -6,7 +6,11 @@ import (
 	"strings"
 )
 
-const codexBuiltinImageModelID = "gpt-image-2"
+const (
+	codexBuiltinImageModelID      = "gpt-image-2"
+	xaiBuiltinImageModelID        = "grok-imagine-image"
+	xaiBuiltinImageQualityModelID = "grok-imagine-image-quality"
+)
 
 // staticModelsJSON mirrors the top-level structure of models.json.
 type staticModelsJSON struct {
@@ -81,7 +85,7 @@ func GetAntigravityModels() []*ModelInfo {
 
 // GetXAIModels returns the standard xAI Grok model definitions.
 func GetXAIModels() []*ModelInfo {
-	return cloneModelInfos(getModels().XAI)
+	return WithXAIBuiltins(cloneModelInfos(getModels().XAI))
 }
 
 // WithCodexBuiltins injects hard-coded Codex-only model definitions that should
@@ -91,6 +95,12 @@ func WithCodexBuiltins(models []*ModelInfo) []*ModelInfo {
 	return upsertModelInfos(models, codexBuiltinImageModelInfo())
 }
 
+// WithXAIBuiltins injects hard-coded xAI image model definitions that should
+// not depend on remote models.json updates.
+func WithXAIBuiltins(models []*ModelInfo) []*ModelInfo {
+	return upsertModelInfos(models, xaiBuiltinImageModelInfo(), xaiBuiltinImageQualityModelInfo())
+}
+
 func codexBuiltinImageModelInfo() *ModelInfo {
 	return &ModelInfo{
 		ID:          codexBuiltinImageModelID,
@@ -103,6 +113,32 @@ func codexBuiltinImageModelInfo() *ModelInfo {
 	}
 }
 
+func xaiBuiltinImageModelInfo() *ModelInfo {
+	return &ModelInfo{
+		ID:          xaiBuiltinImageModelID,
+		Object:      "model",
+		Created:     1735689600, // 2025-01-01
+		OwnedBy:     "xai",
+		Type:        "xai",
+		DisplayName: "Grok Imagine Image",
+		Name:        xaiBuiltinImageModelID,
+		Description: "xAI Grok image generation model.",
+	}
+}
+
+func xaiBuiltinImageQualityModelInfo() *ModelInfo {
+	return &ModelInfo{
+		ID:          xaiBuiltinImageQualityModelID,
+		Object:      "model",
+		Created:     1735689600, // 2025-01-01
+		OwnedBy:     "xai",
+		Type:        "xai",
+		DisplayName: "Grok Imagine Image Quality",
+		Name:        xaiBuiltinImageQualityModelID,
+		Description: "xAI Grok higher-fidelity image generation model.",
+	}
+}
+
 func upsertModelInfos(models []*ModelInfo, extras ...*ModelInfo) []*ModelInfo {
 	if len(extras) == 0 {
 		return models

internal/registry/models/models.json

@@ -46,8 +46,7 @@
         "levels": [
           "low",
           "medium",
-          "high",
+          "high"
-          "xhigh"
         ]
       }
     },
@@ -473,6 +472,30 @@
         "dynamic_allowed": true
       }
     },
+    {
+      "id": "gemini-2.5-flash-image",
+      "object": "model",
+      "created": 1763596800,
+      "owned_by": "google",
+      "type": "gemini",
+      "display_name": "Gemini 2.5 Flash Image",
+      "name": "models/gemini-2.5-flash-image",
+      "version": "001",
+      "description": "Our state-of-the-art image generation and editing model.",
+      "inputTokenLimit": 1048576,
+      "outputTokenLimit": 65536,
+      "supportedGenerationMethods": [
+        "generateContent",
+        "countTokens",
+        "createCachedContent",
+        "batchGenerateContent"
+      ],
+      "thinking": {
+        "max": 24576,
+        "zero_allowed": true,
+        "dynamic_allowed": true
+      }
+    },
     {
       "id": "gemini-2.5-flash-lite",
       "object": "model",
@@ -1990,12 +2013,12 @@
       }
     },
     {
-      "id": "gemini-3.1-pro-high",
+      "id": "gemini-pro-agent",
       "object": "model",
       "owned_by": "antigravity",
       "type": "antigravity",
       "display_name": "Gemini 3.1 Pro (High)",
-      "name": "gemini-3.1-pro-high",
+      "name": "gemini-pro-agent",
       "description": "Gemini 3.1 Pro (High)",
       "context_length": 1048576,
       "max_completion_tokens": 65535,

internal/runtime/executor/xai_executor.go

@@ -27,6 +27,13 @@ import (
 
 var xaiDataTag = []byte("data:")
 
+const (
+	xaiImageHandlerType         = "openai-image"
+	xaiImagesGenerationsPath    = "/images/generations"
+	xaiImagesEditsPath          = "/images/edits"
+	xaiDefaultImageEndpointPath = xaiImagesGenerationsPath
+)
+
 // XAIExecutor is a stateless executor for xAI Grok's Responses API.
 type XAIExecutor struct {
 	cfg *config.Config
@@ -76,6 +83,10 @@ func (e *XAIExecutor) HttpRequest(ctx context.Context, auth *cliproxyauth.Auth,
 }
 
 func (e *XAIExecutor) Execute(ctx context.Context, auth *cliproxyauth.Auth, req cliproxyexecutor.Request, opts cliproxyexecutor.Options) (resp cliproxyexecutor.Response, err error) {
+	if endpointPath := xaiImageEndpointPath(opts); endpointPath != "" {
+		return e.executeImages(ctx, auth, req, endpointPath)
+	}
+
 	token, baseURL := xaiCreds(auth)
 	if baseURL == "" {
 		baseURL = xaiauth.DefaultAPIBaseURL
@@ -151,6 +162,51 @@ func (e *XAIExecutor) Execute(ctx context.Context, auth *cliproxyauth.Auth, req
 	return resp, statusErr{code: http.StatusRequestTimeout, msg: "xai stream error: stream disconnected before response.completed"}
 }
 
+func (e *XAIExecutor) executeImages(ctx context.Context, auth *cliproxyauth.Auth, req cliproxyexecutor.Request, endpointPath string) (resp cliproxyexecutor.Response, err error) {
+	token, baseURL := xaiCreds(auth)
+	if baseURL == "" {
+		baseURL = xaiauth.DefaultAPIBaseURL
+	}
+	if endpointPath == "" {
+		endpointPath = xaiDefaultImageEndpointPath
+	}
+
+	url := strings.TrimSuffix(baseURL, "/") + endpointPath
+	httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(req.Payload))
+	if err != nil {
+		return resp, err
+	}
+	applyXAIHeaders(httpReq, auth, token, false, "")
+	e.recordXAIRequest(ctx, auth, url, httpReq.Header.Clone(), req.Payload)
+
+	httpClient := helps.NewProxyAwareHTTPClient(ctx, e.cfg, auth, 0)
+	httpResp, err := httpClient.Do(httpReq)
+	if err != nil {
+		helps.RecordAPIResponseError(ctx, e.cfg, err)
+		return resp, err
+	}
+	defer func() {
+		if errClose := httpResp.Body.Close(); errClose != nil {
+			log.Errorf("xai executor: close response body error: %v", errClose)
+		}
+	}()
+	helps.RecordAPIResponseMetadata(ctx, e.cfg, httpResp.StatusCode, httpResp.Header.Clone())
+
+	data, err := io.ReadAll(httpResp.Body)
+	if err != nil {
+		helps.RecordAPIResponseError(ctx, e.cfg, err)
+		return resp, err
+	}
+	helps.AppendAPIResponseChunk(ctx, e.cfg, data)
+
+	if httpResp.StatusCode < 200 || httpResp.StatusCode >= 300 {
+		helps.LogWithRequestID(ctx).Debugf("request error, error status: %d, error message: %s", httpResp.StatusCode, helps.SummarizeErrorBody(httpResp.Header.Get("Content-Type"), data))
+		return resp, statusErr{code: httpResp.StatusCode, msg: string(data)}
+	}
+
+	return cliproxyexecutor.Response{Payload: data, Headers: httpResp.Header.Clone()}, nil
+}
+
 func (e *XAIExecutor) ExecuteStream(ctx context.Context, auth *cliproxyauth.Auth, req cliproxyexecutor.Request, opts cliproxyexecutor.Options) (_ *cliproxyexecutor.StreamResult, err error) {
 	token, baseURL := xaiCreds(auth)
 	if baseURL == "" {
@@ -454,6 +510,21 @@ func xaiExecutionSessionID(req cliproxyexecutor.Request, opts cliproxyexecutor.O
 	return ""
 }
 
+func xaiImageEndpointPath(opts cliproxyexecutor.Options) string {
+	if opts.SourceFormat.String() != xaiImageHandlerType {
+		return ""
+	}
+
+	path := xaiMetadataString(opts.Metadata, cliproxyexecutor.RequestPathMetadataKey)
+	if strings.HasSuffix(path, "/images/edits") {
+		return xaiImagesEditsPath
+	}
+	if strings.HasSuffix(path, "/images/generations") {
+		return xaiImagesGenerationsPath
+	}
+	return xaiDefaultImageEndpointPath
+}
+
 func xaiMetadataString(meta map[string]any, key string) string {
 	if len(meta) == 0 || key == "" {
 		return ""

internal/runtime/executor/xai_executor_test.go

@@ -136,3 +136,96 @@ func TestXAIExecutorOmitsUnsupportedReasoningEffort(t *testing.T) {
 		t.Fatalf("unsupported xAI model must omit reasoning key: %s", string(gotBody))
 	}
 }
+
+func TestXAIExecutorExecuteImagesUsesImagesEndpoint(t *testing.T) {
+	var gotPath string
+	var gotAuth string
+	var gotAccept string
+	var gotBody []byte
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		gotPath = r.URL.Path
+		gotAuth = r.Header.Get("Authorization")
+		gotAccept = r.Header.Get("Accept")
+		var errRead error
+		gotBody, errRead = io.ReadAll(r.Body)
+		if errRead != nil {
+			t.Fatalf("read body: %v", errRead)
+		}
+		w.Header().Set("Content-Type", "application/json")
+		_, _ = w.Write([]byte(`{"created":123,"data":[{"b64_json":"AA=="}]}`))
+	}))
+	defer server.Close()
+
+	exec := NewXAIExecutor(&config.Config{})
+	auth := &cliproxyauth.Auth{
+		Provider: "xai",
+		Attributes: map[string]string{
+			"base_url":  server.URL,
+			"auth_kind": "oauth",
+		},
+		Metadata: map[string]any{"access_token": "xai-token"},
+	}
+
+	resp, err := exec.Execute(context.Background(), auth, cliproxyexecutor.Request{
+		Model:   "grok-imagine-image",
+		Payload: []byte(`{"model":"grok-imagine-image","prompt":"draw"}`),
+	}, cliproxyexecutor.Options{
+		SourceFormat: sdktranslator.FromString("openai-image"),
+		Metadata: map[string]any{
+			cliproxyexecutor.RequestPathMetadataKey: "/v1/images/generations",
+		},
+	})
+	if err != nil {
+		t.Fatalf("Execute() error = %v", err)
+	}
+
+	if gotPath != "/images/generations" {
+		t.Fatalf("path = %q, want /images/generations", gotPath)
+	}
+	if gotAuth != "Bearer xai-token" {
+		t.Fatalf("Authorization = %q, want Bearer xai-token", gotAuth)
+	}
+	if gotAccept != "application/json" {
+		t.Fatalf("Accept = %q, want application/json", gotAccept)
+	}
+	if string(gotBody) != `{"model":"grok-imagine-image","prompt":"draw"}` {
+		t.Fatalf("body = %s", string(gotBody))
+	}
+	if gjson.GetBytes(resp.Payload, "data.0.b64_json").String() != "AA==" {
+		t.Fatalf("payload = %s", string(resp.Payload))
+	}
+}
+
+func TestXAIExecutorExecuteImagesUsesEditsEndpoint(t *testing.T) {
+	var gotPath string
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		gotPath = r.URL.Path
+		w.Header().Set("Content-Type", "application/json")
+		_, _ = w.Write([]byte(`{"created":123,"data":[{"url":"https://x.ai/image.png"}]}`))
+	}))
+	defer server.Close()
+
+	exec := NewXAIExecutor(&config.Config{})
+	auth := &cliproxyauth.Auth{
+		Provider:   "xai",
+		Attributes: map[string]string{"base_url": server.URL},
+		Metadata:   map[string]any{"access_token": "xai-token"},
+	}
+
+	_, err := exec.Execute(context.Background(), auth, cliproxyexecutor.Request{
+		Model:   "grok-imagine-image",
+		Payload: []byte(`{"model":"grok-imagine-image","prompt":"edit","image":{"type":"image_url","url":"https://example.com/a.png"}}`),
+	}, cliproxyexecutor.Options{
+		SourceFormat: sdktranslator.FromString("openai-image"),
+		Metadata: map[string]any{
+			cliproxyexecutor.RequestPathMetadataKey: "/v1/images/edits",
+		},
+	})
+	if err != nil {
+		t.Fatalf("Execute() error = %v", err)
+	}
+
+	if gotPath != "/images/edits" {
+		t.Fatalf("path = %q, want /images/edits", gotPath)
+	}
+}

sdk/api/handlers/openai/openai_images_handlers.go

@@ -23,10 +23,15 @@ import (
 )
 
 const (
-	defaultImagesMainModel = "gpt-5.4-mini"
+	defaultImagesMainModel      = "gpt-5.4-mini"
-	defaultImagesToolModel = "gpt-image-2"
+	defaultImagesToolModel      = "gpt-image-2"
-	imagesGenerationsPath  = "/v1/images/generations"
+	defaultXAIImagesModel       = "grok-imagine-image"
-	imagesEditsPath        = "/v1/images/edits"
+	xaiImagesQualityModel       = "grok-imagine-image-quality"
+	xaiImagesHandlerType        = "openai-image"
+	xaiImagesDefaultAspectRatio = "1:1"
+	xaiImagesDefaultResolution  = "1k"
+	imagesGenerationsPath       = "/v1/images/generations"
+	imagesEditsPath             = "/v1/images/edits"
 )
 
 type imageCallResult struct {
@@ -42,6 +47,13 @@ type sseFrameAccumulator struct {
 	pending []byte
 }
 
+type xaiImageResult struct {
+	B64JSON       string
+	URL           string
+	RevisedPrompt string
+	MimeType      string
+}
+
 func (a *sseFrameAccumulator) AddChunk(chunk []byte) [][]byte {
 	if len(chunk) == 0 {
 		return nil
@@ -102,12 +114,36 @@ func (a *sseFrameAccumulator) Flush() [][]byte {
 	return frames
 }
 
-func isSupportedImagesModel(model string) bool {
+func imagesModelParts(model string) (prefix string, baseModel string) {
-	baseModel := strings.TrimSpace(model)
+	model = strings.TrimSpace(model)
-	if idx := strings.LastIndex(baseModel, "/"); idx >= 0 && idx < len(baseModel)-1 {
+	if idx := strings.LastIndex(model, "/"); idx >= 0 && idx < len(model)-1 {
-		baseModel = strings.TrimSpace(baseModel[idx+1:])
+		return strings.TrimSpace(model[:idx]), strings.TrimSpace(model[idx+1:])
 	}
-	return baseModel == defaultImagesToolModel
+	return "", model
+}
+
+func imagesModelBase(model string) string {
+	_, baseModel := imagesModelParts(model)
+	return strings.ToLower(strings.TrimSpace(baseModel))
+}
+
+func isXAIImagesModel(model string) bool {
+	prefix, baseModel := imagesModelParts(model)
+	baseModel = strings.ToLower(strings.TrimSpace(baseModel))
+	if baseModel != defaultXAIImagesModel && baseModel != xaiImagesQualityModel {
+		return false
+	}
+
+	prefix = strings.ToLower(strings.TrimSpace(prefix))
+	return prefix == "" || prefix == "xai" || prefix == "x-ai" || prefix == "grok"
+}
+
+func isSupportedImagesModel(model string) bool {
+	baseModel := imagesModelBase(model)
+	if baseModel == defaultImagesToolModel {
+		return true
+	}
+	return isXAIImagesModel(model)
 }
 
 func rejectUnsupportedImagesModel(c *gin.Context, model string) bool {
@@ -117,13 +153,182 @@ func rejectUnsupportedImagesModel(c *gin.Context, model string) bool {
 
 	c.JSON(http.StatusBadRequest, handlers.ErrorResponse{
 		Error: handlers.ErrorDetail{
-			Message: fmt.Sprintf("Model %s is not supported on %s or %s. Use %s.", model, imagesGenerationsPath, imagesEditsPath, defaultImagesToolModel),
+			Message: fmt.Sprintf("Model %s is not supported on %s or %s. Use %s, %s, or %s.", model, imagesGenerationsPath, imagesEditsPath, defaultImagesToolModel, defaultXAIImagesModel, xaiImagesQualityModel),
 			Type:    "invalid_request_error",
 		},
 	})
 	return true
 }
 
+func normalizeImagesResponseFormat(responseFormat string) string {
+	if strings.EqualFold(strings.TrimSpace(responseFormat), "url") {
+		return "url"
+	}
+	return "b64_json"
+}
+
+func canonicalXAIImagesModel(model string) string {
+	baseModel := imagesModelBase(model)
+	if baseModel == xaiImagesQualityModel {
+		return xaiImagesQualityModel
+	}
+	return defaultXAIImagesModel
+}
+
+func xaiImagesAspectRatio(raw string, fallback string) string {
+	switch strings.ToLower(strings.TrimSpace(raw)) {
+	case "1:1", "square":
+		return "1:1"
+	case "16:9", "landscape":
+		return "16:9"
+	case "9:16", "portrait":
+		return "9:16"
+	case "4:3":
+		return "4:3"
+	case "3:4":
+		return "3:4"
+	case "3:2":
+		return "3:2"
+	case "2:3":
+		return "2:3"
+	default:
+		return fallback
+	}
+}
+
+func xaiImagesAspectRatioFromSize(size string, fallback string) string {
+	size = strings.ToLower(strings.TrimSpace(size))
+	switch size {
+	case "1024x1024", "2048x2048", "1:1":
+		return "1:1"
+	case "1792x1024", "16:9":
+		return "16:9"
+	case "1024x1792", "9:16":
+		return "9:16"
+	case "1536x1024", "3:2":
+		return "3:2"
+	case "1024x1536", "2:3":
+		return "2:3"
+	default:
+		return fallback
+	}
+}
+
+func xaiImagesResolution(raw string, size string, fallback string) string {
+	switch strings.ToLower(strings.TrimSpace(raw)) {
+	case "1k", "2k":
+		return strings.ToLower(strings.TrimSpace(raw))
+	}
+	if strings.Contains(strings.ToLower(strings.TrimSpace(size)), "2048") {
+		return "2k"
+	}
+	return fallback
+}
+
+func xaiImagesRef(imageURL string) []byte {
+	ref := []byte(`{"type":"image_url","url":""}`)
+	ref, _ = sjson.SetBytes(ref, "url", strings.TrimSpace(imageURL))
+	return ref
+}
+
+func buildXAIImagesBaseRequest(model string, prompt string, responseFormat string, aspectRatio string, resolution string, n int64) []byte {
+	req := []byte(`{}`)
+	req, _ = sjson.SetBytes(req, "model", canonicalXAIImagesModel(model))
+	req, _ = sjson.SetBytes(req, "prompt", strings.TrimSpace(prompt))
+	req, _ = sjson.SetBytes(req, "response_format", normalizeImagesResponseFormat(responseFormat))
+	if aspectRatio != "" {
+		req, _ = sjson.SetBytes(req, "aspect_ratio", aspectRatio)
+	}
+	if resolution != "" {
+		req, _ = sjson.SetBytes(req, "resolution", resolution)
+	}
+	if n > 0 {
+		req, _ = sjson.SetBytes(req, "n", n)
+	}
+	return req
+}
+
+func buildXAIImagesGenerationsRequest(rawJSON []byte, model string, responseFormat string) []byte {
+	prompt := strings.TrimSpace(gjson.GetBytes(rawJSON, "prompt").String())
+	size := strings.TrimSpace(gjson.GetBytes(rawJSON, "size").String())
+	aspectRatio := xaiImagesAspectRatio(gjson.GetBytes(rawJSON, "aspect_ratio").String(), "")
+	aspectRatio = xaiImagesAspectRatioFromSize(size, aspectRatio)
+	if aspectRatio == "" {
+		aspectRatio = xaiImagesDefaultAspectRatio
+	}
+	resolution := xaiImagesResolution(gjson.GetBytes(rawJSON, "resolution").String(), size, xaiImagesDefaultResolution)
+	n := int64(0)
+	if v := gjson.GetBytes(rawJSON, "n"); v.Exists() && v.Type == gjson.Number {
+		n = v.Int()
+	}
+	return buildXAIImagesBaseRequest(model, prompt, responseFormat, aspectRatio, resolution, n)
+}
+
+func buildXAIImagesEditRequest(model string, prompt string, images []string, responseFormat string, aspectRatio string, resolution string, n int64) []byte {
+	req := buildXAIImagesBaseRequest(model, prompt, responseFormat, aspectRatio, resolution, n)
+	trimmedImages := make([]string, 0, len(images))
+	for _, img := range images {
+		if strings.TrimSpace(img) != "" {
+			trimmedImages = append(trimmedImages, strings.TrimSpace(img))
+		}
+	}
+	if len(trimmedImages) == 1 {
+		req, _ = sjson.SetRawBytes(req, "image", xaiImagesRef(trimmedImages[0]))
+		return req
+	}
+	for _, img := range trimmedImages {
+		req, _ = sjson.SetRawBytes(req, "images.-1", xaiImagesRef(img))
+	}
+	return req
+}
+
+func collectXAIImagesFromJSON(rawJSON []byte) []string {
+	var images []string
+	appendImage := func(url string) {
+		url = strings.TrimSpace(url)
+		if url != "" {
+			images = append(images, url)
+		}
+	}
+
+	if image := gjson.GetBytes(rawJSON, "image"); image.Exists() {
+		if image.Type == gjson.String {
+			appendImage(image.String())
+		} else if image.Type == gjson.JSON {
+			appendImage(image.Get("image_url.url").String())
+			if imageURL := image.Get("image_url"); imageURL.Type == gjson.String {
+				appendImage(imageURL.String())
+			}
+			appendImage(image.Get("url").String())
+		}
+	}
+	if imagesResult := gjson.GetBytes(rawJSON, "images"); imagesResult.IsArray() {
+		for _, img := range imagesResult.Array() {
+			if img.Type == gjson.String {
+				appendImage(img.String())
+				continue
+			}
+			appendImage(img.Get("image_url.url").String())
+			if imageURL := img.Get("image_url"); imageURL.Type == gjson.String {
+				appendImage(imageURL.String())
+			}
+			appendImage(img.Get("url").String())
+		}
+	}
+	return images
+}
+
+func xaiImagesEditOptionsFromJSON(rawJSON []byte) (aspectRatio string, resolution string, n int64) {
+	size := strings.TrimSpace(gjson.GetBytes(rawJSON, "size").String())
+	aspectRatio = xaiImagesAspectRatio(gjson.GetBytes(rawJSON, "aspect_ratio").String(), "")
+	aspectRatio = xaiImagesAspectRatioFromSize(size, aspectRatio)
+	resolution = xaiImagesResolution(gjson.GetBytes(rawJSON, "resolution").String(), size, "")
+	if v := gjson.GetBytes(rawJSON, "n"); v.Exists() && v.Type == gjson.Number {
+		n = v.Int()
+	}
+	return aspectRatio, resolution, n
+}
+
 func mimeTypeFromOutputFormat(outputFormat string) string {
 	if outputFormat == "" {
 		return "image/png"
@@ -249,6 +454,12 @@ func (h *OpenAIAPIHandler) ImagesGenerations(c *gin.Context) {
 	}
 	stream := gjson.GetBytes(rawJSON, "stream").Bool()
 
+	if isXAIImagesModel(imageModel) {
+		xaiReq := buildXAIImagesGenerationsRequest(rawJSON, imageModel, responseFormat)
+		h.handleXAIImages(c, xaiReq, responseFormat, "image_generation", stream)
+		return
+	}
+
 	tool := []byte(`{"type":"image_generation","action":"generate"}`)
 	tool, _ = sjson.SetBytes(tool, "model", imageModel)
 
@@ -372,6 +583,22 @@ func (h *OpenAIAPIHandler) imagesEditsFromMultipart(c *gin.Context) {
 		images = append(images, dataURL)
 	}
 
+	responseFormat := strings.TrimSpace(c.PostForm("response_format"))
+	if responseFormat == "" {
+		responseFormat = "b64_json"
+	}
+	stream := parseBoolField(c.PostForm("stream"), false)
+
+	if isXAIImagesModel(imageModel) {
+		aspectRatio := xaiImagesAspectRatio(c.PostForm("aspect_ratio"), "")
+		aspectRatio = xaiImagesAspectRatioFromSize(c.PostForm("size"), aspectRatio)
+		resolution := xaiImagesResolution(c.PostForm("resolution"), c.PostForm("size"), "")
+		n := parseIntField(c.PostForm("n"), 0)
+		xaiReq := buildXAIImagesEditRequest(imageModel, prompt, images, responseFormat, aspectRatio, resolution, n)
+		h.handleXAIImages(c, xaiReq, responseFormat, "image_edit", stream)
+		return
+	}
+
 	var maskDataURL *string
 	if maskFiles := form.File["mask"]; len(maskFiles) > 0 && maskFiles[0] != nil {
 		dataURL, err := multipartFileToDataURL(maskFiles[0])
@@ -387,12 +614,6 @@ func (h *OpenAIAPIHandler) imagesEditsFromMultipart(c *gin.Context) {
 		maskDataURL = &dataURL
 	}
 
-	responseFormat := strings.TrimSpace(c.PostForm("response_format"))
-	if responseFormat == "" {
-		responseFormat = "b64_json"
-	}
-	stream := parseBoolField(c.PostForm("stream"), false)
-
 	tool := []byte(`{"type":"image_generation","action":"edit"}`)
 	tool, _ = sjson.SetBytes(tool, "model", imageModel)
 
@@ -474,6 +695,29 @@ func (h *OpenAIAPIHandler) imagesEditsFromJSON(c *gin.Context) {
 		return
 	}
 
+	responseFormat := strings.TrimSpace(gjson.GetBytes(rawJSON, "response_format").String())
+	if responseFormat == "" {
+		responseFormat = "b64_json"
+	}
+	stream := gjson.GetBytes(rawJSON, "stream").Bool()
+
+	if isXAIImagesModel(imageModel) {
+		images := collectXAIImagesFromJSON(rawJSON)
+		if len(images) == 0 {
+			c.JSON(http.StatusBadRequest, handlers.ErrorResponse{
+				Error: handlers.ErrorDetail{
+					Message: "Invalid request: image is required",
+					Type:    "invalid_request_error",
+				},
+			})
+			return
+		}
+		aspectRatio, resolution, n := xaiImagesEditOptionsFromJSON(rawJSON)
+		xaiReq := buildXAIImagesEditRequest(imageModel, prompt, images, responseFormat, aspectRatio, resolution, n)
+		h.handleXAIImages(c, xaiReq, responseFormat, "image_edit", stream)
+		return
+	}
+
 	var images []string
 	imagesResult := gjson.GetBytes(rawJSON, "images")
 	if imagesResult.IsArray() {
@@ -511,12 +755,6 @@ func (h *OpenAIAPIHandler) imagesEditsFromJSON(c *gin.Context) {
 		return
 	}
 
-	responseFormat := strings.TrimSpace(gjson.GetBytes(rawJSON, "response_format").String())
-	if responseFormat == "" {
-		responseFormat = "b64_json"
-	}
-	stream := gjson.GetBytes(rawJSON, "stream").Bool()
-
 	tool := []byte(`{"type":"image_generation","action":"edit"}`)
 	tool, _ = sjson.SetBytes(tool, "model", imageModel)
 
@@ -580,6 +818,191 @@ func buildImagesResponsesRequest(prompt string, images []string, toolJSON []byte
 	return req
 }
 
+func extractXAIImagesResponse(payload []byte) (results []xaiImageResult, createdAt int64, usageRaw []byte, err error) {
+	if !json.Valid(payload) {
+		return nil, 0, nil, fmt.Errorf("upstream returned invalid image response JSON")
+	}
+
+	createdAt = gjson.GetBytes(payload, "created").Int()
+	if createdAt <= 0 {
+		createdAt = time.Now().Unix()
+	}
+
+	data := gjson.GetBytes(payload, "data")
+	if data.IsArray() {
+		for _, item := range data.Array() {
+			result := xaiImageResult{
+				B64JSON:       strings.TrimSpace(item.Get("b64_json").String()),
+				URL:           strings.TrimSpace(item.Get("url").String()),
+				RevisedPrompt: strings.TrimSpace(item.Get("revised_prompt").String()),
+				MimeType:      strings.TrimSpace(item.Get("mime_type").String()),
+			}
+			if result.MimeType == "" {
+				result.MimeType = mimeTypeFromOutputFormat(strings.TrimSpace(item.Get("output_format").String()))
+			}
+			if result.MimeType == "" {
+				result.MimeType = "image/png"
+			}
+			if result.B64JSON == "" && result.URL == "" {
+				continue
+			}
+			results = append(results, result)
+		}
+	}
+	if len(results) == 0 {
+		return nil, 0, nil, fmt.Errorf("upstream did not return image output")
+	}
+
+	if usage := gjson.GetBytes(payload, "usage"); usage.Exists() && usage.IsObject() {
+		usageRaw = []byte(usage.Raw)
+	}
+
+	return results, createdAt, usageRaw, nil
+}
+
+func buildImagesAPIResponseFromXAI(payload []byte, responseFormat string) ([]byte, error) {
+	results, createdAt, usageRaw, err := extractXAIImagesResponse(payload)
+	if err != nil {
+		return nil, err
+	}
+
+	out := []byte(`{"created":0,"data":[]}`)
+	out, _ = sjson.SetBytes(out, "created", createdAt)
+	responseFormat = normalizeImagesResponseFormat(responseFormat)
+
+	for _, img := range results {
+		item := []byte(`{}`)
+		if responseFormat == "url" {
+			if img.URL != "" {
+				item, _ = sjson.SetBytes(item, "url", img.URL)
+			} else {
+				item, _ = sjson.SetBytes(item, "url", "data:"+mimeTypeFromOutputFormat(img.MimeType)+";base64,"+img.B64JSON)
+			}
+		} else if img.B64JSON != "" {
+			item, _ = sjson.SetBytes(item, "b64_json", img.B64JSON)
+		} else {
+			item, _ = sjson.SetBytes(item, "url", img.URL)
+		}
+		if img.RevisedPrompt != "" {
+			item, _ = sjson.SetBytes(item, "revised_prompt", img.RevisedPrompt)
+		}
+		out, _ = sjson.SetRawBytes(out, "data.-1", item)
+	}
+
+	if len(usageRaw) > 0 && json.Valid(usageRaw) {
+		out, _ = sjson.SetRawBytes(out, "usage", usageRaw)
+	}
+
+	return out, nil
+}
+
+func (h *OpenAIAPIHandler) handleXAIImages(c *gin.Context, xaiReq []byte, responseFormat string, streamPrefix string, stream bool) {
+	if stream {
+		h.streamXAIImages(c, xaiReq, responseFormat, streamPrefix)
+		return
+	}
+	h.collectXAIImages(c, xaiReq, responseFormat)
+}
+
+func (h *OpenAIAPIHandler) collectXAIImages(c *gin.Context, xaiReq []byte, responseFormat string) {
+	c.Header("Content-Type", "application/json")
+
+	cliCtx, cliCancel := h.GetContextWithCancel(h, c, context.Background())
+	stopKeepAlive := h.StartNonStreamingKeepAlive(c, cliCtx)
+
+	model := strings.TrimSpace(gjson.GetBytes(xaiReq, "model").String())
+	resp, upstreamHeaders, errMsg := h.ExecuteWithAuthManager(cliCtx, xaiImagesHandlerType, model, xaiReq, "")
+	stopKeepAlive()
+	if errMsg != nil {
+		h.WriteErrorResponse(c, errMsg)
+		if errMsg.Error != nil {
+			cliCancel(errMsg.Error)
+		} else {
+			cliCancel(nil)
+		}
+		return
+	}
+
+	out, err := buildImagesAPIResponseFromXAI(resp, responseFormat)
+	if err != nil {
+		errMsg := &interfaces.ErrorMessage{StatusCode: http.StatusBadGateway, Error: err}
+		h.WriteErrorResponse(c, errMsg)
+		cliCancel(err)
+		return
+	}
+
+	handlers.WriteUpstreamHeaders(c.Writer.Header(), upstreamHeaders)
+	_, _ = c.Writer.Write(out)
+	cliCancel(nil)
+}
+
+func (h *OpenAIAPIHandler) streamXAIImages(c *gin.Context, xaiReq []byte, responseFormat string, streamPrefix string) {
+	flusher, ok := c.Writer.(http.Flusher)
+	if !ok {
+		c.JSON(http.StatusInternalServerError, handlers.ErrorResponse{
+			Error: handlers.ErrorDetail{
+				Message: "Streaming not supported",
+				Type:    "server_error",
+			},
+		})
+		return
+	}
+
+	cliCtx, cliCancel := h.GetContextWithCancel(h, c, context.Background())
+	model := strings.TrimSpace(gjson.GetBytes(xaiReq, "model").String())
+	resp, upstreamHeaders, errMsg := h.ExecuteWithAuthManager(cliCtx, xaiImagesHandlerType, model, xaiReq, "")
+	if errMsg != nil {
+		h.WriteErrorResponse(c, errMsg)
+		if errMsg.Error != nil {
+			cliCancel(errMsg.Error)
+		} else {
+			cliCancel(nil)
+		}
+		return
+	}
+
+	results, _, usageRaw, err := extractXAIImagesResponse(resp)
+	if err != nil {
+		errMsg := &interfaces.ErrorMessage{StatusCode: http.StatusBadGateway, Error: err}
+		h.WriteErrorResponse(c, errMsg)
+		cliCancel(err)
+		return
+	}
+
+	c.Header("Content-Type", "text/event-stream")
+	c.Header("Cache-Control", "no-cache")
+	c.Header("Connection", "keep-alive")
+	c.Header("Access-Control-Allow-Origin", "*")
+	handlers.WriteUpstreamHeaders(c.Writer.Header(), upstreamHeaders)
+
+	eventName := streamPrefix + ".completed"
+	responseFormat = normalizeImagesResponseFormat(responseFormat)
+	for _, img := range results {
+		data := []byte(`{"type":""}`)
+		data, _ = sjson.SetBytes(data, "type", eventName)
+		if responseFormat == "url" {
+			if img.URL != "" {
+				data, _ = sjson.SetBytes(data, "url", img.URL)
+			} else {
+				data, _ = sjson.SetBytes(data, "url", "data:"+mimeTypeFromOutputFormat(img.MimeType)+";base64,"+img.B64JSON)
+			}
+		} else if img.B64JSON != "" {
+			data, _ = sjson.SetBytes(data, "b64_json", img.B64JSON)
+		} else {
+			data, _ = sjson.SetBytes(data, "url", img.URL)
+		}
+		if len(usageRaw) > 0 && json.Valid(usageRaw) {
+			data, _ = sjson.SetRawBytes(data, "usage", usageRaw)
+		}
+		if strings.TrimSpace(eventName) != "" {
+			_, _ = fmt.Fprintf(c.Writer, "event: %s\n", eventName)
+		}
+		_, _ = fmt.Fprintf(c.Writer, "data: %s\n\n", string(data))
+		flusher.Flush()
+	}
+	cliCancel(nil)
+}
+
 func (h *OpenAIAPIHandler) collectImagesFromResponses(c *gin.Context, responsesReq []byte, responseFormat string) {
 	c.Header("Content-Type", "application/json")
 

sdk/api/handlers/openai/openai_images_handlers_test.go

@@ -40,7 +40,7 @@ func assertUnsupportedImagesModelResponse(t *testing.T, resp *httptest.ResponseR
 	}
 
 	message := gjson.GetBytes(resp.Body.Bytes(), "error.message").String()
-	expectedMessage := "Model " + model + " is not supported on " + imagesGenerationsPath + " or " + imagesEditsPath + ". Use " + defaultImagesToolModel + "."
+	expectedMessage := "Model " + model + " is not supported on " + imagesGenerationsPath + " or " + imagesEditsPath + ". Use " + defaultImagesToolModel + ", " + defaultXAIImagesModel + ", or " + xaiImagesQualityModel + "."
 	if message != expectedMessage {
 		t.Fatalf("error message = %q, want %q", message, expectedMessage)
 	}
@@ -49,8 +49,8 @@ func assertUnsupportedImagesModelResponse(t *testing.T, resp *httptest.ResponseR
 	}
 }
 
-func TestImagesModelValidationAllowsGPTImage2WithOptionalPrefix(t *testing.T) {
+func TestImagesModelValidationAllowsGPTImage2AndXAIModels(t *testing.T) {
-	for _, model := range []string{"gpt-image-2", "codex/gpt-image-2"} {
+	for _, model := range []string{"gpt-image-2", "codex/gpt-image-2", "grok-imagine-image", "xai/grok-imagine-image", "grok-imagine-image-quality", "xai/grok-imagine-image-quality"} {
 		if !isSupportedImagesModel(model) {
 			t.Fatalf("expected %s to be supported", model)
 		}
@@ -58,6 +58,90 @@ func TestImagesModelValidationAllowsGPTImage2WithOptionalPrefix(t *testing.T) {
 	if isSupportedImagesModel("gpt-5.4-mini") {
 		t.Fatal("expected gpt-5.4-mini to be rejected")
 	}
+	if isSupportedImagesModel("codex/grok-imagine-image") {
+		t.Fatal("expected codex/grok-imagine-image to be rejected")
+	}
+}
+
+func TestBuildXAIImagesGenerationsRequest(t *testing.T) {
+	rawJSON := []byte(`{"model":"xai/grok-imagine-image-quality","prompt":"abstract art","aspect_ratio":"landscape","resolution":"2k","n":2,"response_format":"url"}`)
+
+	req := buildXAIImagesGenerationsRequest(rawJSON, "xai/grok-imagine-image-quality", "url")
+
+	if got := gjson.GetBytes(req, "model").String(); got != "grok-imagine-image-quality" {
+		t.Fatalf("model = %q, want grok-imagine-image-quality", got)
+	}
+	if got := gjson.GetBytes(req, "prompt").String(); got != "abstract art" {
+		t.Fatalf("prompt = %q, want abstract art", got)
+	}
+	if got := gjson.GetBytes(req, "aspect_ratio").String(); got != "16:9" {
+		t.Fatalf("aspect_ratio = %q, want 16:9", got)
+	}
+	if got := gjson.GetBytes(req, "resolution").String(); got != "2k" {
+		t.Fatalf("resolution = %q, want 2k", got)
+	}
+	if got := gjson.GetBytes(req, "response_format").String(); got != "url" {
+		t.Fatalf("response_format = %q, want url", got)
+	}
+	if got := gjson.GetBytes(req, "n").Int(); got != 2 {
+		t.Fatalf("n = %d, want 2", got)
+	}
+}
+
+func TestBuildXAIImagesEditRequest(t *testing.T) {
+	req := buildXAIImagesEditRequest("grok-imagine-image", "edit it", []string{"data:image/png;base64,AA==", "https://example.com/image.png"}, "b64_json", "3:2", "1k", 0)
+
+	if got := gjson.GetBytes(req, "model").String(); got != "grok-imagine-image" {
+		t.Fatalf("model = %q, want grok-imagine-image", got)
+	}
+	if got := gjson.GetBytes(req, "images.0.type").String(); got != "image_url" {
+		t.Fatalf("images.0.type = %q, want image_url", got)
+	}
+	if got := gjson.GetBytes(req, "images.0.url").String(); got != "data:image/png;base64,AA==" {
+		t.Fatalf("images.0.url = %q", got)
+	}
+	if got := gjson.GetBytes(req, "images.1.url").String(); got != "https://example.com/image.png" {
+		t.Fatalf("images.1.url = %q", got)
+	}
+	if gjson.GetBytes(req, "image").Exists() {
+		t.Fatalf("multiple image edits must use images array: %s", string(req))
+	}
+}
+
+func TestBuildXAIImagesEditRequestSingleImage(t *testing.T) {
+	req := buildXAIImagesEditRequest("grok-imagine-image", "edit it", []string{"https://example.com/image.png"}, "url", "", "", 0)
+
+	if got := gjson.GetBytes(req, "image.type").String(); got != "image_url" {
+		t.Fatalf("image.type = %q, want image_url", got)
+	}
+	if got := gjson.GetBytes(req, "image.url").String(); got != "https://example.com/image.png" {
+		t.Fatalf("image.url = %q", got)
+	}
+	if gjson.GetBytes(req, "images").Exists() {
+		t.Fatalf("single image edit must use image object: %s", string(req))
+	}
+}
+
+func TestBuildImagesAPIResponseFromXAI(t *testing.T) {
+	payload := []byte(`{"created":123,"data":[{"b64_json":"AA==","revised_prompt":"refined","mime_type":"image/png"}],"usage":{"total_tokens":0}}`)
+
+	out, err := buildImagesAPIResponseFromXAI(payload, "b64_json")
+	if err != nil {
+		t.Fatalf("buildImagesAPIResponseFromXAI() error = %v", err)
+	}
+
+	if got := gjson.GetBytes(out, "created").Int(); got != 123 {
+		t.Fatalf("created = %d, want 123", got)
+	}
+	if got := gjson.GetBytes(out, "data.0.b64_json").String(); got != "AA==" {
+		t.Fatalf("data.0.b64_json = %q, want AA==", got)
+	}
+	if got := gjson.GetBytes(out, "data.0.revised_prompt").String(); got != "refined" {
+		t.Fatalf("data.0.revised_prompt = %q, want refined", got)
+	}
+	if !gjson.GetBytes(out, "usage").Exists() {
+		t.Fatalf("usage missing: %s", string(out))
+	}
 }
 
 func TestImagesGenerationsRejectsUnsupportedModel(t *testing.T) {