Merge pull request #136 from chenyme/imagine

feat: add WebSocket support for image generation and editing, enhance configuration options for image processing

app/api/v1/chat.py

@@ -48,7 +48,7 @@ class VideoConfig(BaseModel):
     aspect_ratio: Optional[str] = Field(
         "3:2", description="视频比例: 3:2, 16:9, 1:1 等"
     )
-    video_length: Optional[int] = Field(6, description="视频时长(秒): 6 或 10")
+    video_length: Optional[int] = Field(6, description="视频时长(秒): 6 / 10 / 15")
     resolution_name: Optional[str] = Field("480p", description="视频分辨率: 480p, 720p")
     preset: Optional[str] = Field("custom", description="风格预设: fun, normal, spicy")
 
@@ -68,9 +68,9 @@ class VideoConfig(BaseModel):
     @classmethod
     def validate_video_length(cls, v):
         if v is not None:
-            if v not in (6, 10):
+            if v not in (6, 10, 15):
                 raise ValidationException(
-                    message="video_length must be 6 or 10 seconds",
+                    message="video_length must be 6, 10, or 15 seconds",
                     param="video_config.video_length",
                     code="invalid_video_length",
                 )

app/api/v1/files.py

@@ -12,7 +12,7 @@ from app.core.logger import logger
 router = APIRouter(tags=["Files"])
 
 # 缓存根目录
-BASE_DIR = Path(__file__).parent.parent.parent / "data" / "tmp"
+BASE_DIR = Path(__file__).parent.parent.parent.parent / "data" / "tmp"
 IMAGE_DIR = BASE_DIR / "image"
 VIDEO_DIR = BASE_DIR / "video"
 

app/api/v1/image.py

@@ -4,7 +4,9 @@ Image Generation API 路由
 
 import asyncio
 import base64
+import math
 import random
+import re
 from pathlib import Path
 from typing import List, Optional, Union
 
@@ -13,9 +15,16 @@ from fastapi.responses import StreamingResponse, JSONResponse
 from pydantic import BaseModel, Field, ValidationError
 
 from app.services.grok.services.chat import GrokChatService
+from app.services.grok.services.image import image_service
 from app.services.grok.services.assets import UploadService
+from app.services.grok.services.media import VideoService
 from app.services.grok.models.model import ModelService
-from app.services.grok.processors.processor import ImageStreamProcessor, ImageCollectProcessor
+from app.services.grok.processors.processor import (
+    ImageStreamProcessor,
+    ImageCollectProcessor,
+    ImageWSStreamProcessor,
+    ImageWSCollectProcessor,
+)
 from app.services.token import get_token_manager, EffortType
 from app.core.exceptions import ValidationException, AppException, ErrorType
 from app.core.config import get_config
@@ -43,7 +52,7 @@ class ImageEditRequest(BaseModel):
     """图片编辑请求 - OpenAI 兼容"""
 
     prompt: str = Field(..., description="编辑描述")
-    model: Optional[str] = Field("grok-imagine-1.0", description="模型名称")
+    model: Optional[str] = Field("grok-imagine-1.0-edit", description="模型名称")
     image: Optional[Union[str, List[str]]] = Field(None, description="待编辑图片文件")
     n: Optional[int] = Field(1, ge=1, le=10, description="生成数量 (1-10)")
     size: Optional[str] = Field("1024x1024", description="图片尺寸 (暂不支持)")
@@ -54,19 +63,12 @@ class ImageEditRequest(BaseModel):
 
 
 
-def validate_generation_request(request: ImageGenerationRequest):
-    """验证请求参数"""
-    # 验证模型 - 通过 is_image 检查
-    model_info = ModelService.get(request.model)
-    if not model_info or not model_info.is_image:
-        # 获取支持的图片模型列表
-        image_models = [m.model_id for m in ModelService.MODELS if m.is_image]
-        raise ValidationException(
-            message=f"The model `{request.model}` is not supported for image generation. Supported: {image_models}",
-            param="model",
-            code="model_not_supported",
-        )
-
+def _validate_common_request(
+    request: Union[ImageGenerationRequest, ImageEditRequest],
+    *,
+    allow_ws_stream: bool = False,
+):
+    """通用参数校验"""
     # 验证 prompt
     if not request.prompt or not request.prompt.strip():
         raise ValidationException(
@@ -87,6 +89,22 @@ def validate_generation_request(request: ImageGenerationRequest):
             code="invalid_stream_n",
         )
 
+    if allow_ws_stream:
+        # WS 流式仅支持 b64_json (base64 视为同义)
+        if (
+            request.stream
+            and get_config("grok.image_ws", False)
+            and request.response_format
+            and request.response_format not in {"b64_json", "base64"}
+        ):
+            raise ValidationException(
+                message=(
+                    "Streaming with image_ws only supports response_format=b64_json/base64"
+                ),
+                param="response_format",
+                code="invalid_response_format",
+            )
+
     if request.response_format:
         allowed_formats = {"b64_json", "base64", "url"}
         if request.response_format not in allowed_formats:
@@ -97,6 +115,30 @@ def validate_generation_request(request: ImageGenerationRequest):
             )
 
 
+def validate_generation_request(request: ImageGenerationRequest):
+    """验证图片生成请求参数"""
+    if request.model != "grok-imagine-1.0":
+        raise ValidationException(
+            message="The model `grok-imagine-1.0` is required for image generation.",
+            param="model",
+            code="model_not_supported",
+        )
+    # 验证模型 - 通过 is_image 检查
+    model_info = ModelService.get(request.model)
+    if not model_info or not model_info.is_image:
+        # 获取支持的图片模型列表
+        image_models = [m.model_id for m in ModelService.MODELS if m.is_image]
+        raise ValidationException(
+            message=(
+                f"The model `{request.model}` is not supported for image generation. "
+                f"Supported: {image_models}"
+            ),
+            param="model",
+            code="model_not_supported",
+        )
+    _validate_common_request(request, allow_ws_stream=True)
+
+
 def resolve_response_format(response_format: Optional[str]) -> str:
     fmt = response_format or get_config("app.image_format", "url")
     if isinstance(fmt, str):
@@ -119,9 +161,41 @@ def response_field_name(response_format: str) -> str:
     return "b64_json"
 
 
+def resolve_aspect_ratio(size: str) -> str:
+    """Map OpenAI size to Grok Imagine aspect ratio."""
+    size = (size or "").lower()
+    if size in {"16:9", "9:16", "1:1", "2:3", "3:2"}:
+        return size
+    mapping = {
+        "1024x1024": "1:1",
+        "512x512": "1:1",
+        "1024x576": "16:9",
+        "1280x720": "16:9",
+        "1536x864": "16:9",
+        "576x1024": "9:16",
+        "720x1280": "9:16",
+        "864x1536": "9:16",
+        "1024x1536": "2:3",
+        "512x768": "2:3",
+        "768x1024": "2:3",
+        "1536x1024": "3:2",
+        "768x512": "3:2",
+        "1024x768": "3:2",
+    }
+    return mapping.get(size) or "2:3"
+
+
 def validate_edit_request(request: ImageEditRequest, images: List[UploadFile]):
     """验证图片编辑请求参数"""
-    validate_generation_request(request)
+    if request.model != "grok-imagine-1.0-edit":
+        raise ValidationException(
+            message=(
+                "The model `grok-imagine-1.0-edit` is required for image edits."
+            ),
+            param="model",
+            code="model_not_supported",
+        )
+    _validate_common_request(request, allow_ws_stream=False)
     if not images:
         raise ValidationException(
             message="Image is required",
@@ -205,6 +279,10 @@ async def create_image(request: ImageGenerationRequest):
     # 参数验证
     validate_generation_request(request)
 
+    # 兼容 base64/b64_json
+    if request.response_format == "base64":
+        request.response_format = "b64_json"
+
     response_format = resolve_response_format(request.response_format)
     response_field = response_field_name(response_format)
 
@@ -235,9 +313,52 @@ async def create_image(request: ImageGenerationRequest):
 
     # 获取模型信息
     model_info = ModelService.get(request.model)
+    use_ws = bool(get_config("grok.image_ws", False))
 
     # 流式模式
     if request.stream:
+        if use_ws:
+            aspect_ratio = resolve_aspect_ratio(request.size)
+            enable_nsfw = bool(get_config("grok.image_ws_nsfw", True))
+            upstream = image_service.stream(
+                token=token,
+                prompt=request.prompt,
+                aspect_ratio=aspect_ratio,
+                n=request.n,
+                enable_nsfw=enable_nsfw,
+            )
+            processor = ImageWSStreamProcessor(
+                model_info.model_id,
+                token,
+                n=request.n,
+                response_format=response_format,
+                size=request.size,
+            )
+
+            async def _wrap_stream(stream):
+                success = False
+                try:
+                    async for chunk in stream:
+                        yield chunk
+                    success = True
+                finally:
+                    if success:
+                        try:
+                            effort = (
+                                EffortType.HIGH
+                                if (model_info and model_info.cost.value == "high")
+                                else EffortType.LOW
+                            )
+                            await token_mgr.consume(token, effort)
+                        except Exception as e:
+                            logger.warning(f"Failed to consume token: {e}")
+
+            return StreamingResponse(
+                _wrap_stream(processor.process(upstream)),
+                media_type="text/event-stream",
+                headers={"Cache-Control": "no-cache", "Connection": "keep-alive"},
+            )
+
         chat_service = GrokChatService()
         response = await chat_service.chat(
             token=token,
@@ -280,38 +401,99 @@ async def create_image(request: ImageGenerationRequest):
     # 非流式模式
     n = request.n
 
-    calls_needed = (n + 1) // 2
+    usage_override = None
+    if use_ws:
+        aspect_ratio = resolve_aspect_ratio(request.size)
+        enable_nsfw = bool(get_config("grok.image_ws_nsfw", True))
+        all_images = []
+        seen = set()
+        expected_per_call = 6
+        calls_needed = max(1, math.ceil(n / expected_per_call))
+        calls_needed = min(calls_needed, n)
 
-    if calls_needed == 1:
-        # 单次调用
-        all_images = await call_grok(
-            token_mgr,
-            token,
-            f"Image Generation: {request.prompt}",
-            model_info,
-            response_format=response_format,
-        )
+        async def _fetch_batch(call_target: int):
+            upstream = image_service.stream(
+                token=token,
+                prompt=request.prompt,
+                aspect_ratio=aspect_ratio,
+                n=call_target,
+                enable_nsfw=enable_nsfw,
+            )
+            processor = ImageWSCollectProcessor(
+                model_info.model_id,
+                token,
+                n=call_target,
+                response_format=response_format,
+            )
+            return await processor.process(upstream)
+
+        tasks = []
+        for i in range(calls_needed):
+            remaining = n - (i * expected_per_call)
+            call_target = min(expected_per_call, remaining)
+            tasks.append(_fetch_batch(call_target))
+
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+        for batch in results:
+            if isinstance(batch, Exception):
+                logger.warning(f"WS batch failed: {batch}")
+                continue
+            for img in batch:
+                if img not in seen:
+                    seen.add(img)
+                    all_images.append(img)
+                if len(all_images) >= n:
+                    break
+            if len(all_images) >= n:
+                break
+        try:
+            effort = (
+                EffortType.HIGH
+                if (model_info and model_info.cost.value == "high")
+                else EffortType.LOW
+            )
+            await token_mgr.consume(token, effort)
+        except Exception as e:
+            logger.warning(f"Failed to consume token: {e}")
+        usage_override = {
+            "total_tokens": 0,
+            "input_tokens": 0,
+            "output_tokens": 0,
+            "input_tokens_details": {"text_tokens": 0, "image_tokens": 0},
+        }
     else:
-        # 并发调用
-        tasks = [
-            call_grok(
+        calls_needed = (n + 1) // 2
+
+        if calls_needed == 1:
+            # 单次调用
+            all_images = await call_grok(
                 token_mgr,
                 token,
                 f"Image Generation: {request.prompt}",
                 model_info,
                 response_format=response_format,
             )
-            for _ in range(calls_needed)
-        ]
-        results = await asyncio.gather(*tasks, return_exceptions=True)
+        else:
+            # 并发调用
+            tasks = [
+                call_grok(
+                    token_mgr,
+                    token,
+                    f"Image Generation: {request.prompt}",
+                    model_info,
+                    response_format=response_format,
+                )
+                for _ in range(calls_needed)
+            ]
+            results = await asyncio.gather(*tasks, return_exceptions=True)
 
-        # 收集成功的图片
-        all_images = []
-        for result in results:
-            if isinstance(result, Exception):
-                logger.error(f"Concurrent call failed: {result}")
-            elif isinstance(result, list):
-                all_images.extend(result)
+            # 收集成功的图片
+            all_images = []
+            for result in results:
+                if isinstance(result, Exception):
+                    logger.error(f"Concurrent call failed: {result}")
+                elif isinstance(result, list):
+                    all_images.extend(result)
 
     # 随机选取 n 张图片
     if len(all_images) >= n:
@@ -327,18 +509,20 @@ async def create_image(request: ImageGenerationRequest):
 
     data = [{response_field: img} for img in selected_images]
 
+    usage = usage_override or {
+        "total_tokens": 0
+        * len([img for img in selected_images if img != "error"]),
+        "input_tokens": 0,
+        "output_tokens": 0
+        * len([img for img in selected_images if img != "error"]),
+        "input_tokens_details": {"text_tokens": 0, "image_tokens": 0},
+    }
+
     return JSONResponse(
         content={
             "created": int(time.time()),
             "data": data,
-            "usage": {
-                "total_tokens": 0
-                * len([img for img in selected_images if img != "error"]),
-                "input_tokens": 0,
-                "output_tokens": 0
-                * len([img for img in selected_images if img != "error"]),
-                "input_tokens_details": {"text_tokens": 0, "image_tokens": 0},
-            },
+            "usage": usage,
         }
     )
 
@@ -348,7 +532,7 @@ async def create_image(request: ImageGenerationRequest):
 async def edit_image(
     prompt: str = Form(...),
     image: List[UploadFile] = File(...),
-    model: Optional[str] = Form("grok-imagine-1.0"),
+    model: Optional[str] = Form("grok-imagine-1.0-edit"),
     n: int = Form(1),
     size: str = Form("1024x1024"),
     quality: str = Form("standard"),
@@ -467,25 +651,93 @@ async def edit_image(
     model_info = ModelService.get(edit_request.model)
 
     # 上传图片
-    file_ids: List[str] = []
+    image_urls: List[str] = []
     upload_service = UploadService()
     try:
         for image in images:
-            file_id, _ = await upload_service.upload(image, token)
-            file_ids.append(file_id)
+            file_id, file_uri = await upload_service.upload(image, token)
+            if file_uri:
+                if file_uri.startswith("http"):
+                    image_urls.append(file_uri)
+                else:
+                    image_urls.append(
+                        f"https://assets.grok.com/{file_uri.lstrip('/')}"
+                    )
     finally:
         await upload_service.close()
 
+    if not image_urls:
+        raise AppException(
+            message="Image upload failed",
+            error_type=ErrorType.SERVER.value,
+            code="upload_failed",
+        )
+
+    parent_post_id = None
+    try:
+        media_service = VideoService()
+        parent_post_id = await media_service.create_image_post(token, image_urls[0])
+        logger.debug(f"Parent post ID: {parent_post_id}")
+    except Exception as e:
+        logger.warning(f"Create image post failed: {e}")
+
+    if not parent_post_id:
+        for url in image_urls:
+            match = re.search(r"/generated/([a-f0-9-]+)/", url)
+            if match:
+                parent_post_id = match.group(1)
+                logger.debug(f"Parent post ID: {parent_post_id}")
+                break
+            match = re.search(r"/users/[^/]+/([a-f0-9-]+)/content", url)
+            if match:
+                parent_post_id = match.group(1)
+                logger.debug(f"Parent post ID: {parent_post_id}")
+                break
+
+    model_config_override = {
+        "modelMap": {
+            "imageEditModel": "imagine",
+            "imageEditModelConfig": {
+                "imageReferences": image_urls,
+            },
+        }
+    }
+
+    if parent_post_id:
+        model_config_override["modelMap"]["imageEditModelConfig"][
+            "parentPostId"
+        ] = parent_post_id
+
+    raw_payload = {
+        "temporary": bool(get_config("grok.temporary", True)),
+        "modelName": model_info.grok_model,
+        "message": edit_request.prompt,
+        "enableImageGeneration": True,
+        "returnImageBytes": False,
+        "returnRawGrokInXaiRequest": False,
+        "enableImageStreaming": True,
+        "imageGenerationCount": 2,
+        "forceConcise": False,
+        "toolOverrides": {"imageGen": True},
+        "enableSideBySide": True,
+        "sendFinalMetadata": True,
+        "isReasoning": False,
+        "disableTextFollowUps": True,
+        "responseMetadata": {"modelConfigOverride": model_config_override},
+        "disableMemory": False,
+        "forceSideBySide": False,
+    }
+
     # 流式模式
     if edit_request.stream:
         chat_service = GrokChatService()
         response = await chat_service.chat(
             token=token,
-            message=f"Image Edit: {edit_request.prompt}",
+            message=edit_request.prompt,
             model=model_info.grok_model,
-            mode=model_info.model_mode,
+            mode=None,
             stream=True,
-            file_attachments=file_ids,
+            raw_payload=raw_payload,
         )
 
         processor = ImageStreamProcessor(
@@ -520,25 +772,26 @@ async def edit_image(
     n = edit_request.n
     calls_needed = (n + 1) // 2
 
-    if calls_needed == 1:
-        all_images = await call_grok(
-            token_mgr,
-            token,
-            f"Image Edit: {edit_request.prompt}",
-            model_info,
-            file_attachments=file_ids,
-            response_format=response_format,
+    async def _call_edit():
+        chat_service = GrokChatService()
+        response = await chat_service.chat(
+            token=token,
+            message=edit_request.prompt,
+            model=model_info.grok_model,
+            mode=None,
+            stream=True,
+            raw_payload=raw_payload,
         )
+        processor = ImageCollectProcessor(
+            model_info.model_id, token, response_format=response_format
+        )
+        return await processor.process(response)
+
+    if calls_needed == 1:
+        all_images = await _call_edit()
     else:
         tasks = [
-            call_grok(
-                token_mgr,
-                token,
-                f"Image Edit: {edit_request.prompt}",
-                model_info,
-                file_attachments=file_ids,
-                response_format=response_format,
-            )
+            _call_edit()
             for _ in range(calls_needed)
         ]
         results = await asyncio.gather(*tasks, return_exceptions=True)

app/services/grok/models/model.py

@@ -129,6 +129,15 @@ class ModelService:
             description="Image generation model",
             is_image=True,
         ),
+        ModelInfo(
+            model_id="grok-imagine-1.0-edit",
+            grok_model="imagine-image-edit",
+            model_mode="MODEL_MODE_FAST",
+            cost=Cost.HIGH,
+            display_name="Grok Image Edit",
+            description="Image edit model",
+            is_image=True,
+        ),
         ModelInfo(
             model_id="grok-imagine-1.0-video",
             grok_model="grok-3",

app/services/grok/processors/processor.py

@@ -3,11 +3,14 @@ OpenAI 响应格式处理器
 """
 
 import asyncio
+import base64
 import time
 import uuid
 import random
+import re
+from pathlib import Path
 import orjson
-from typing import Any, AsyncGenerator, Optional, AsyncIterable, List, TypeVar
+from typing import Any, AsyncGenerator, Optional, AsyncIterable, List, TypeVar, Dict
 
 from curl_cffi.requests.errors import RequestsError
 
@@ -41,6 +44,37 @@ def _normalize_stream_line(line: Any) -> Optional[str]:
     return text
 
 
+def _collect_image_urls(obj: Any) -> List[str]:
+    """递归收集响应中的图片 URL"""
+    urls: List[str] = []
+    seen = set()
+
+    def add(url: str):
+        if not url or url in seen:
+            return
+        seen.add(url)
+        urls.append(url)
+
+    def walk(value: Any):
+        if isinstance(value, dict):
+            for key, item in value.items():
+                if key in {"generatedImageUrls", "imageUrls", "imageURLs"}:
+                    if isinstance(item, list):
+                        for url in item:
+                            if isinstance(url, str):
+                                add(url)
+                    elif isinstance(item, str):
+                        add(item)
+                    continue
+                walk(item)
+        elif isinstance(value, list):
+            for item in value:
+                walk(item)
+
+    walk(obj)
+    return urls
+
+
 T = TypeVar("T")
 
 
@@ -294,7 +328,7 @@ class StreamProcessor(BaseProcessor):
                         self.think_opened = False
 
                     # 处理生成的图片
-                    for url in mr.get("generatedImageUrls", []):
+                    for url in _collect_image_urls(mr):
                         parts = url.split("/")
                         img_id = parts[-2] if len(parts) >= 2 else "image"
 
@@ -423,7 +457,7 @@ class CollectProcessor(BaseProcessor):
                     response_id = mr.get("responseId", "")
                     content = mr.get("message", "")
 
-                    if urls := mr.get("generatedImageUrls"):
+                    if urls := _collect_image_urls(mr):
                         content += "\n"
                         for url in urls:
                             parts = url.split("/")
@@ -810,7 +844,7 @@ class ImageStreamProcessor(BaseProcessor):
 
                 # modelResponse
                 if mr := resp.get("modelResponse"):
-                    if urls := mr.get("generatedImageUrls"):
+                    if urls := _collect_image_urls(mr):
                         for url in urls:
                             if self.response_format == "url":
                                 processed = await self.process_url(url, "image")
@@ -844,12 +878,12 @@ class ImageStreamProcessor(BaseProcessor):
                         self.response_field: b64,
                         "index": out_index,
                         "usage": {
-                            "total_tokens": 50,
-                            "input_tokens": 25,
-                            "output_tokens": 25,
+                            "total_tokens": 0,
+                            "input_tokens": 0,
+                            "output_tokens": 0,
                             "input_tokens_details": {
-                                "text_tokens": 5,
-                                "image_tokens": 20,
+                                "text_tokens": 0,
+                                "image_tokens": 0,
                             },
                         },
                     },
@@ -918,7 +952,7 @@ class ImageCollectProcessor(BaseProcessor):
                 resp = data.get("result", {}).get("response", {})
 
                 if mr := resp.get("modelResponse"):
-                    if urls := mr.get("generatedImageUrls"):
+                    if urls := _collect_image_urls(mr):
                         for url in urls:
                             if self.response_format == "url":
                                 processed = await self.process_url(url, "image")
@@ -956,6 +990,261 @@ class ImageCollectProcessor(BaseProcessor):
         return images
 
 
+class ImageWSBaseProcessor(BaseProcessor):
+    """WebSocket 图片处理基类"""
+
+    def __init__(self, model: str, token: str = "", response_format: str = "b64_json"):
+        super().__init__(model, token)
+        self.response_format = response_format
+        if response_format == "url":
+            self.response_field = "url"
+        elif response_format == "base64":
+            self.response_field = "base64"
+        else:
+            self.response_field = "b64_json"
+        self._image_dir: Optional[Path] = None
+
+    def _ensure_image_dir(self) -> Path:
+        if self._image_dir is None:
+            base_dir = (
+                Path(__file__).parent.parent.parent.parent.parent
+                / "data"
+                / "tmp"
+                / "image"
+            )
+            base_dir.mkdir(parents=True, exist_ok=True)
+            self._image_dir = base_dir
+        return self._image_dir
+
+    def _strip_base64(self, blob: str) -> str:
+        if not blob:
+            return ""
+        if "," in blob and "base64" in blob.split(",", 1)[0]:
+            return blob.split(",", 1)[1]
+        return blob
+
+    def _filename(self, image_id: str, is_final: bool) -> str:
+        ext = "jpg" if is_final else "png"
+        return f"{image_id}.{ext}"
+
+    def _build_file_url(self, filename: str) -> str:
+        if self.app_url:
+            return f"{self.app_url.rstrip('/')}/v1/files/image/{filename}"
+        return f"/v1/files/image/{filename}"
+
+    def _save_blob(self, image_id: str, blob: str, is_final: bool) -> str:
+        data = self._strip_base64(blob)
+        if not data:
+            return ""
+        image_dir = self._ensure_image_dir()
+        filename = self._filename(image_id, is_final)
+        filepath = image_dir / filename
+        with open(filepath, "wb") as f:
+            f.write(base64.b64decode(data))
+        return self._build_file_url(filename)
+
+    def _pick_best(self, existing: Optional[Dict], incoming: Dict) -> Dict:
+        if not existing:
+            return incoming
+        if incoming.get("is_final") and not existing.get("is_final"):
+            return incoming
+        if existing.get("is_final") and not incoming.get("is_final"):
+            return existing
+        if incoming.get("blob_size", 0) > existing.get("blob_size", 0):
+            return incoming
+        return existing
+
+    def _to_output(self, image_id: str, item: Dict) -> str:
+        try:
+            if self.response_format == "url":
+                return self._save_blob(
+                    image_id, item.get("blob", ""), item.get("is_final", False)
+                )
+            return self._strip_base64(item.get("blob", ""))
+        except Exception as e:
+            logger.warning(f"Image output failed: {e}")
+            return ""
+
+
+class ImageWSStreamProcessor(ImageWSBaseProcessor):
+    """WebSocket 图片流式响应处理器"""
+
+    def __init__(
+        self,
+        model: str,
+        token: str = "",
+        n: int = 1,
+        response_format: str = "b64_json",
+        size: str = "1024x1024",
+    ):
+        super().__init__(model, token, "b64_json")
+        self.n = n
+        self.size = size
+        self._target_id: Optional[str] = None
+        self._index_map: Dict[str, int] = {}
+        self._partial_map: Dict[str, int] = {}
+
+    def _assign_index(self, image_id: str) -> Optional[int]:
+        if image_id in self._index_map:
+            return self._index_map[image_id]
+        if len(self._index_map) >= self.n:
+            return None
+        self._index_map[image_id] = len(self._index_map)
+        return self._index_map[image_id]
+
+    def _sse(self, event: str, data: dict) -> str:
+        return f"event: {event}\ndata: {orjson.dumps(data).decode()}\n\n"
+
+    async def process(
+        self, response: AsyncIterable[dict]
+    ) -> AsyncGenerator[str, None]:
+        images: Dict[str, Dict] = {}
+
+        async for item in response:
+            if item.get("type") == "error":
+                message = item.get("error") or "Upstream error"
+                code = item.get("error_code") or "upstream_error"
+                yield self._sse(
+                    "error",
+                    {
+                        "error": {
+                            "message": message,
+                            "type": "server_error",
+                            "code": code,
+                        }
+                    },
+                )
+                return
+            if item.get("type") != "image":
+                continue
+
+            image_id = item.get("image_id")
+            if not image_id:
+                continue
+
+            if self.n == 1:
+                if self._target_id is None:
+                    self._target_id = image_id
+                index = 0 if image_id == self._target_id else None
+            else:
+                index = self._assign_index(image_id)
+
+            images[image_id] = self._pick_best(images.get(image_id), item)
+
+            if index is None:
+                continue
+
+            if item.get("stage") != "final":
+                partial_b64 = self._strip_base64(item.get("blob", ""))
+                if not partial_b64:
+                    continue
+                partial_index = self._partial_map.get(image_id, 0)
+                if item.get("stage") == "medium":
+                    partial_index = max(partial_index, 1)
+                self._partial_map[image_id] = partial_index
+                yield self._sse(
+                    "image_generation.partial_image",
+                    {
+                        "type": "image_generation.partial_image",
+                        "b64_json": partial_b64,
+                        "created_at": int(time.time()),
+                        "size": self.size,
+                        "index": index,
+                        "partial_image_index": partial_index,
+                    },
+                )
+
+        if self.n == 1:
+            if self._target_id and self._target_id in images:
+                selected = [(self._target_id, images[self._target_id])]
+            else:
+                selected = [
+                    max(
+                        images.items(),
+                        key=lambda x: (
+                            x[1].get("is_final", False),
+                            x[1].get("blob_size", 0),
+                        ),
+                    )
+                ] if images else []
+        else:
+            selected = [
+                (image_id, images[image_id])
+                for image_id in self._index_map
+                if image_id in images
+            ]
+
+        for image_id, item in selected:
+            output = self._strip_base64(item.get("blob", ""))
+
+            if not output:
+                continue
+
+            if self.n == 1:
+                index = 0
+            else:
+                index = self._index_map.get(image_id, 0)
+            yield self._sse(
+                "image_generation.completed",
+                {
+                    "type": "image_generation.completed",
+                    "b64_json": output,
+                    "created_at": int(time.time()),
+                    "size": self.size,
+                    "index": index,
+                    "usage": {
+                        "total_tokens": 0,
+                        "input_tokens": 0,
+                        "output_tokens": 0,
+                        "input_tokens_details": {
+                            "text_tokens": 0,
+                            "image_tokens": 0,
+                        },
+                    },
+                },
+            )
+
+
+class ImageWSCollectProcessor(ImageWSBaseProcessor):
+    """WebSocket 图片非流式响应处理器"""
+
+    def __init__(
+        self, model: str, token: str = "", n: int = 1, response_format: str = "b64_json"
+    ):
+        super().__init__(model, token, response_format)
+        self.n = n
+
+    async def process(self, response: AsyncIterable[dict]) -> List[str]:
+        images: Dict[str, Dict] = {}
+
+        async for item in response:
+            if item.get("type") == "error":
+                message = item.get("error") or "Upstream error"
+                raise UpstreamException(message, details=item)
+            if item.get("type") != "image":
+                continue
+            image_id = item.get("image_id")
+            if not image_id:
+                continue
+            images[image_id] = self._pick_best(images.get(image_id), item)
+
+        selected = sorted(
+            images.values(),
+            key=lambda x: (x.get("is_final", False), x.get("blob_size", 0)),
+            reverse=True,
+        )
+        if self.n:
+            selected = selected[: self.n]
+
+        results: List[str] = []
+        for item in selected:
+            output = self._to_output(item.get("image_id", ""), item)
+            if output:
+                results.append(output)
+
+        return results
+
+
 __all__ = [
     "StreamProcessor",
     "CollectProcessor",
@@ -963,4 +1252,6 @@ __all__ = [
     "VideoCollectProcessor",
     "ImageStreamProcessor",
     "ImageCollectProcessor",
+    "ImageWSStreamProcessor",
+    "ImageWSCollectProcessor",
 ]

app/services/grok/services/assets.py

@@ -34,7 +34,7 @@ UPLOAD_API = "https://grok.com/rest/app-chat/upload-file"
 LIST_API = "https://grok.com/rest/assets"
 DELETE_API = "https://grok.com/rest/assets-metadata"
 DOWNLOAD_API = "https://assets.grok.com"
-LOCK_DIR = Path(__file__).parent.parent.parent.parent / "data" / ".locks"
+LOCK_DIR = Path(__file__).parent.parent.parent.parent.parent / "data" / ".locks"
 
 TIMEOUT = 120
 DEFAULT_BROWSER = "chrome136"
@@ -609,7 +609,7 @@ class DownloadService(BaseService):
     def __init__(self, proxy: str = None):
         super().__init__(proxy)
         # 创建缓存目录
-        self.base_dir = Path(__file__).parent.parent.parent.parent / "data" / "tmp"
+        self.base_dir = Path(__file__).parent.parent.parent.parent.parent / "data" / "tmp"
         self.image_dir = self.base_dir / "image"
         self.video_dir = self.base_dir / "video"
         self.image_dir.mkdir(parents=True, exist_ok=True)

app/services/grok/services/chat.py

@@ -218,7 +218,7 @@ class ChatRequestBuilder:
         if image_attachments:
             merged_attachments.extend(image_attachments)
 
-        payload = {
+        payload: Dict[str, Any] = {
             "temporary": temporary,
             "modelName": model,
             "message": message,
@@ -278,6 +278,7 @@ class GrokChatService:
         stream: bool = None,
         file_attachments: List[str] = None,
         image_attachments: List[str] = None,
+        raw_payload: Dict[str, Any] = None,
     ):
         """
         发送聊天请求
@@ -298,9 +299,16 @@ class GrokChatService:
             stream = get_config("grok.stream", True)
 
         headers = ChatRequestBuilder.build_headers(token)
-        payload = ChatRequestBuilder.build_payload(
-            message, model, mode, file_attachments, image_attachments
-        )
+        if raw_payload is not None:
+            payload = raw_payload
+        else:
+            payload = ChatRequestBuilder.build_payload(
+                message,
+                model,
+                mode,
+                file_attachments,
+                image_attachments,
+            )
         proxies = {"http": self.proxy, "https": self.proxy} if self.proxy else None
         timeout = get_config("grok.timeout", TIMEOUT)
 
@@ -310,6 +318,8 @@ class GrokChatService:
                 return e.details.get("status")
             return None
 
+        logger.debug(f"Payload: {payload}")
+        
         # 建立连接函数
         async def establish_connection():
             """建立连接并返回 response 对象"""
@@ -338,15 +348,10 @@ class GrokChatService:
                             "token": token[:10] + "...",
                         },
                     )
-                    resp_headers = {}
-                    try:
-                        resp_headers = dict(response.headers)
-                    except Exception:
-                        resp_headers = {}
                     body_for_log = content if content else "<empty>"
                     logger.debug(
                         "Grok API error response "
-                        f"(status={response.status_code}, headers={resp_headers}): {body_for_log}"
+                        f"(status={response.status_code}): {body_for_log}"
                     )
                     # 关闭 session 并抛出异常
                     try:
@@ -358,7 +363,6 @@ class GrokChatService:
                         details={
                             "status": response.status_code,
                             "body": content,
-                            "headers": resp_headers,
                         },
                     )
 

app/services/grok/services/image.py

@@ -0,0 +1,309 @@
+"""
+Grok Imagine WebSocket image service.
+"""
+
+import asyncio
+import json
+import re
+import ssl
+import time
+import uuid
+from typing import AsyncGenerator, Dict, Optional
+from urllib.parse import urlparse
+
+import aiohttp
+from aiohttp_socks import ProxyConnector
+
+from app.core.config import get_config
+from app.core.logger import logger
+from app.services.grok.utils.headers import build_sso_cookie
+
+
+TIMEOUT = 120
+BLOCKED_SECONDS = 15
+FINAL_MIN_BYTES = 100000
+MEDIUM_MIN_BYTES = 30000
+
+WS_URL = "wss://grok.com/ws/imagine/listen"
+
+USER_AGENT = (
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+    "AppleWebKit/537.36 (KHTML, like Gecko) "
+    "Chrome/131.0.0.0 Safari/537.36"
+)
+
+
+class _BlockedError(Exception):
+    pass
+
+
+class ImageService:
+    """Grok Imagine WebSocket image service."""
+
+    def __init__(self):
+        self._ssl_context = ssl.create_default_context()
+        self._url_pattern = re.compile(r"/images/([a-f0-9-]+)\.(png|jpg|jpeg)")
+
+    def _get_ws_url(self) -> str:
+        return WS_URL
+
+    def _get_timeout(self) -> float:
+        return float(get_config("grok.timeout", TIMEOUT))
+
+    def _get_blocked_seconds(self) -> float:
+        return float(get_config("grok.image_ws_blocked_seconds", BLOCKED_SECONDS))
+
+    def _resolve_proxy(self) -> tuple[aiohttp.BaseConnector, Optional[str]]:
+        proxy_url = get_config("grok.base_proxy_url", "")
+        if not proxy_url:
+            return aiohttp.TCPConnector(ssl=self._ssl_context), None
+
+        scheme = urlparse(proxy_url).scheme.lower()
+        if scheme.startswith("socks"):
+            logger.info(f"Grok Imagine WebSocket using SOCKS proxy: {proxy_url}")
+            return ProxyConnector.from_url(proxy_url, ssl=self._ssl_context), None
+
+        logger.info(f"Grok Imagine WebSocket using HTTP proxy: {proxy_url}")
+        return aiohttp.TCPConnector(ssl=self._ssl_context), proxy_url
+
+    def _get_ws_headers(self, token: str) -> Dict[str, str]:
+        cookie = build_sso_cookie(token, include_rw=True)
+        return {
+            "Cookie": cookie,
+            "Origin": "https://grok.com",
+            "User-Agent": USER_AGENT,
+            "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
+            "Cache-Control": "no-cache",
+            "Pragma": "no-cache",
+        }
+
+    def _extract_image_id(self, url: str) -> Optional[str]:
+        match = self._url_pattern.search(url or "")
+        if match:
+            return match.group(1)
+        return None
+
+    def _is_final_image(self, url: str, blob_size: int) -> bool:
+        min_bytes = int(get_config("grok.image_ws_final_min_bytes", FINAL_MIN_BYTES))
+        return (url or "").lower().endswith((".jpg", ".jpeg")) and blob_size > min_bytes
+
+    def _classify_image(self, url: str, blob: str) -> Optional[Dict[str, object]]:
+        if not url or not blob:
+            return None
+
+        image_id = self._extract_image_id(url) or uuid.uuid4().hex
+        blob_size = len(blob)
+        is_final = self._is_final_image(url, blob_size)
+        if is_final:
+            stage = "final"
+        elif blob_size > MEDIUM_MIN_BYTES:
+            stage = "medium"
+        else:
+            stage = "preview"
+
+        return {
+            "type": "image",
+            "image_id": image_id,
+            "stage": stage,
+            "blob": blob,
+            "blob_size": blob_size,
+            "url": url,
+            "is_final": is_final,
+        }
+
+    async def stream(
+        self,
+        token: str,
+        prompt: str,
+        aspect_ratio: str = "2:3",
+        n: int = 1,
+        enable_nsfw: bool = True,
+        max_retries: int = None,
+    ) -> AsyncGenerator[Dict[str, object], None]:
+        if max_retries is None:
+            retries = 1
+        else:
+            retries = max_retries
+        retries = max(1, retries)
+
+        for attempt in range(retries):
+            try:
+                yielded_any = False
+                async for item in self._stream_once(
+                    token, prompt, aspect_ratio, n, enable_nsfw
+                ):
+                    yielded_any = True
+                    yield item
+                return
+            except _BlockedError:
+                if yielded_any:
+                    return
+                if attempt + 1 < retries:
+                    logger.warning(
+                        f"Grok Imagine WebSocket blocked, retry {attempt + 1}/{retries}"
+                    )
+                    continue
+                yield {
+                    "type": "error",
+                    "error_code": "blocked",
+                    "error": "blocked_no_final_image",
+                }
+                return
+            except Exception as e:
+                logger.error(f"Grok Imagine WebSocket stream failed: {e}")
+                return
+
+    async def _stream_once(
+        self,
+        token: str,
+        prompt: str,
+        aspect_ratio: str,
+        n: int,
+        enable_nsfw: bool,
+    ) -> AsyncGenerator[Dict[str, object], None]:
+        ws_url = self._get_ws_url()
+
+        request_id = str(uuid.uuid4())
+        headers = self._get_ws_headers(token)
+        timeout = self._get_timeout()
+        blocked_seconds = self._get_blocked_seconds()
+
+        try:
+            connector, proxy = self._resolve_proxy()
+        except Exception as e:
+            logger.error(f"Grok Imagine WebSocket proxy setup failed: {e}")
+            return
+
+        try:
+            async with aiohttp.ClientSession(connector=connector) as session:
+                async with session.ws_connect(
+                    ws_url,
+                    headers=headers,
+                    heartbeat=20,
+                    receive_timeout=timeout,
+                    proxy=proxy,
+                ) as ws:
+                    message = {
+                        "type": "conversation.item.create",
+                        "timestamp": int(time.time() * 1000),
+                        "item": {
+                            "type": "message",
+                            "content": [
+                                {
+                                    "requestId": request_id,
+                                    "text": prompt,
+                                    "type": "input_text",
+                                    "properties": {
+                                        "section_count": 0,
+                                        "is_kids_mode": False,
+                                        "enable_nsfw": enable_nsfw,
+                                        "skip_upsampler": False,
+                                        "is_initial": False,
+                                        "aspect_ratio": aspect_ratio,
+                                    },
+                                }
+                            ],
+                        },
+                    }
+
+                    await ws.send_json(message)
+                    logger.info(f"Grok Imagine WebSocket request sent: {prompt[:80]}...")
+
+                    images: Dict[str, Dict[str, object]] = {}
+                    completed = 0
+                    start_time = time.time()
+                    last_activity = time.time()
+                    medium_received_time = None
+
+                    while time.time() - start_time < timeout:
+                        try:
+                            ws_msg = await asyncio.wait_for(ws.receive(), timeout=5.0)
+                        except asyncio.TimeoutError:
+                            if medium_received_time and completed == 0:
+                                if time.time() - medium_received_time > min(
+                                    10, blocked_seconds
+                                ):
+                                    raise _BlockedError()
+                            if completed > 0 and time.time() - last_activity > 10:
+                                logger.info(
+                                    f"Grok Imagine WebSocket idle timeout, collected {completed} images"
+                                )
+                                break
+                            continue
+
+                        if ws_msg.type == aiohttp.WSMsgType.TEXT:
+                            last_activity = time.time()
+                            msg = json.loads(ws_msg.data)
+                            msg_type = msg.get("type")
+
+                            if msg_type == "image":
+                                info = self._classify_image(
+                                    msg.get("url", ""), msg.get("blob", "")
+                                )
+                                if not info:
+                                    continue
+
+                                image_id = info["image_id"]
+                                existing = images.get(image_id, {})
+                                if info["stage"] == "medium" and medium_received_time is None:
+                                    medium_received_time = time.time()
+
+                                if info["is_final"] and not existing.get("is_final"):
+                                    completed += 1
+
+                                images[image_id] = {
+                                    "is_final": info["is_final"] or existing.get("is_final")
+                                }
+
+                                yield info
+
+                            elif msg_type == "error":
+                                error_code = msg.get("err_code", "")
+                                error_msg = msg.get("err_msg", "")
+                                logger.warning(
+                                    f"Grok Imagine WebSocket error: {error_code} - {error_msg}"
+                                )
+                                yield {
+                                    "type": "error",
+                                    "error_code": error_code,
+                                    "error": error_msg,
+                                }
+                                return
+
+                            if completed >= n:
+                                logger.info(
+                                    f"Grok Imagine WebSocket collected {completed} final images"
+                                )
+                                break
+
+                            if medium_received_time and completed == 0:
+                                if time.time() - medium_received_time > blocked_seconds:
+                                    raise _BlockedError()
+
+                        elif ws_msg.type in (
+                            aiohttp.WSMsgType.CLOSED,
+                            aiohttp.WSMsgType.ERROR,
+                        ):
+                            logger.warning(
+                                f"Grok Imagine WebSocket closed/error: {ws_msg.type}"
+                            )
+                            yield {
+                                "type": "error",
+                                "error_code": "ws_closed",
+                                "error": f"websocket closed: {ws_msg.type}",
+                            }
+                            break
+
+        except aiohttp.ClientError as e:
+            logger.error(f"Grok Imagine WebSocket connection error: {e}")
+            yield {
+                "type": "error",
+                "error_code": "connection_failed",
+                "error": str(e),
+            }
+
+
+image_service = ImageService()
+
+
+__all__ = ["image_service", "ImageService"]

app/static/config/config.js

@@ -24,6 +24,8 @@ const NUMERIC_FIELDS = new Set([
   'reload_interval_sec',
   'stream_idle_timeout',
   'video_idle_timeout',
+  'image_ws_blocked_seconds',
+  'image_ws_final_min_bytes',
   'nsfw_max_concurrent',
   'nsfw_batch_size',
   'nsfw_max_tokens'
@@ -49,6 +51,10 @@ const LOCALE_MAP = {
     "timeout": { title: "超时时间", desc: "请求 Grok 服务的超时时间（秒）。" },
     "base_proxy_url": { title: "基础代理 URL", desc: "代理请求到 Grok 官网的基础服务地址。" },
     "asset_proxy_url": { title: "资源代理 URL", desc: "代理请求到 Grok 官网的静态资源（图片/视频）地址。" },
+    "image_ws": { title: "Imagine WebSocket 生成", desc: "启用后 /v1/images/generations 走 WebSocket 直连。" },
+    "image_ws_nsfw": { title: "Imagine NSFW", desc: "WS 请求里是否启用 NSFW。" },
+    "image_ws_blocked_seconds": { title: "Imagine WebSocket Blocked 阈值", desc: "收到中等图后超过该秒数仍无最终图则判定 blocked。" },
+    "image_ws_final_min_bytes": { title: "Imagine WebSocket 最终图最小字节", desc: "判定最终图的最小字节数（通常 JPG > 100KB）。" },
     "max_retry": { title: "最大重试", desc: "请求 Grok 服务失败时的最大重试次数。" },
     "retry_status_codes": { title: "重试状态码", desc: "触发重试的 HTTP 状态码列表。" },
     "retry_backoff_base": { title: "退避基数", desc: "重试退避的基础延迟（秒）。" },

config.defaults.toml

@@ -14,12 +14,14 @@ user_agent = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36
 disable_memory = true
 max_retry = 3
 retry_status_codes = [401,429,403]
-# 重试退避配置
+image_ws = true
+image_ws_blocked_seconds = 15
+image_ws_final_min_bytes = 100000
+image_ws_nsfw = true
 retry_backoff_base = 0.5
 retry_backoff_factor = 2.0
 retry_backoff_max = 30.0
 retry_budget = 90.0
-# 流空闲超时配置 (秒)
 stream_idle_timeout = 120.0
 video_idle_timeout = 90.0
 

data/config.toml

@@ -10,6 +10,10 @@ asset_proxy_url = ""
 cf_clearance = ""
 max_retry = 3
 retry_status_codes = [401,429,403]
+image_ws = true
+image_ws_blocked_seconds = 15
+image_ws_final_min_bytes = 100000
+image_ws_nsfw = true
 retry_backoff_base = 0.5
 retry_backoff_factor = 2.0
 retry_backoff_max = 30.0

docs/README.en.md

@@ -67,6 +67,7 @@ Default password: `grok2api` (config key `app.app_key`, change it in production)
 | `grok-4.1` | 1 | Basic/Super | Yes | Yes | - |
 | `grok-4.1-thinking` | 4 | Basic/Super | Yes | Yes | - |
 | `grok-imagine-1.0` | 4 | Basic/Super | - | Yes | - |
+| `grok-imagine-1.0-edit` | 4 | Basic/Super | - | Yes | - |
 | `grok-imagine-1.0-video` | - | Basic/Super | - | - | Yes |
 
 <br>
@@ -99,7 +100,7 @@ curl http://localhost:8000/v1/chat/completions \
 | `thinking` | string | Thinking mode | `enabled`, `disabled`, `null` |
 | `video_config` | object | **Video model only** | - |
 | └─ `aspect_ratio` | string | Video aspect ratio | `16:9`, `9:16`, `1:1`, `2:3`, `3:2` |
-| └─ `video_length` | integer | Video length (seconds) | `6`, `10` |
+| └─ `video_length` | integer | Video length (seconds) | `6`, `10`, `15` |
 | └─ `resolution_name` | string | Resolution | `480p`, `720p` |
 | └─ `preset` | string | Style preset | `fun`, `normal`, `spicy` |
 
@@ -110,7 +111,7 @@ Note: any other parameters will be discarded and ignored.
 </details>
 
 ### `POST /v1/images/generations`
-> Image endpoint: image generation, image editing
+> Image generation endpoint
 
 ```bash
 curl http://localhost:8000/v1/images/generations \
@@ -134,8 +135,50 @@ curl http://localhost:8000/v1/images/generations \
 | `prompt` | string | Prompt | - |
 | `n` | integer | Number of images | `1` - `10` (streaming: `1` or `2` only) |
 | `stream` | boolean | Enable streaming | `true`, `false` |
+| `size` | string | Image size | `1024x1024` (WS mode maps to aspect ratio) |
+| `quality` | string | Image quality | `standard` (not customizable yet) |
+| `response_format` | string | Response format | `url`, `b64_json` |
+| `style` | string | Style | - (not supported yet) |
 
-Note: any other parameters will be discarded and ignored.
+Note: when `grok.image_ws=true`, `size` is mapped to aspect ratio (only 5 supported: `16:9`, `9:16`, `1:1`, `2:3`, `3:2`); you can also pass those ratio strings directly:  
+`1024x576/1280x720/1536x864 -> 16:9`, `576x1024/720x1280/864x1536 -> 9:16`, `1024x1024/512x512 -> 1:1`, `1024x1536/512x768/768x1024 -> 2:3`, `1536x1024/768x512/1024x768 -> 3:2`, otherwise defaults to `2:3`. Other parameters are ignored.
+
+<br>
+
+</details>
+
+<br>
+
+### `POST /v1/images/edits`
+> Image edit endpoint (multipart/form-data)
+
+```bash
+curl http://localhost:8000/v1/images/edits \
+  -H "Authorization: Bearer $GROK2API_API_KEY" \
+  -F "model=grok-imagine-1.0-edit" \
+  -F "prompt=Make it sharper" \
+  -F "image=@/path/to/image.png" \
+  -F "n=1"
+```
+
+<details>
+<summary>Supported request parameters</summary>
+
+<br>
+
+| Field | Type | Description | Allowed values |
+| :--- | :--- | :--- | :--- |
+| `model` | string | Image model ID | `grok-imagine-1.0-edit` |
+| `prompt` | string | Edit prompt | - |
+| `image` | file | Image file | `png`, `jpg`, `webp` |
+| `n` | integer | Number of images | `1` - `10` (streaming: `1` or `2` only) |
+| `stream` | boolean | Enable streaming | `true`, `false` |
+| `size` | string | Image size | `1024x1024` (not customizable yet) |
+| `quality` | string | Image quality | `standard` (not customizable yet) |
+| `response_format` | string | Response format | `url`, `b64_json` |
+| `style` | string | Style | - (not supported yet) |
+
+Note: `size`, `quality`, `style` are OpenAI compatibility placeholders and are not customizable yet.
 
 <br>
 
@@ -175,6 +218,10 @@ Config file: `data/config.toml`
 | | `retry_budget` | Backoff budget | Max total retry time per request (seconds). | `90.0` |
 | | `stream_idle_timeout` | Stream idle timeout | Idle timeout for streaming responses (seconds). | `45.0` |
 | | `video_idle_timeout` | Video idle timeout | Idle timeout for video generation (seconds). | `90.0` |
+| | `image_ws` | Image WS generation | When enabled, `/v1/images/generations` uses WebSocket. | `false` |
+| | `image_ws_blocked_seconds` | WS blocked threshold | Mark blocked if no final image after this many seconds post-medium. | `15` |
+| | `image_ws_final_min_bytes` | WS final min bytes | Minimum bytes to treat an image as final (JPG usually > 100KB). | `100000` |
+| | `image_ws_nsfw` | WS NSFW | Enable NSFW in WS requests. | `true` |
 | **token** | `auto_refresh` | Auto refresh | Enable automatic token refresh. | `true` |
 | | `refresh_interval_hours` | Refresh interval | Token refresh interval (hours). | `8` |
 | | `super_refresh_interval_hours` | Super refresh interval | Super token refresh interval (hours). | `2` |

pyproject.toml

@@ -6,6 +6,8 @@ readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
     "aiofiles>=25.1.0",
+    "aiohttp>=3.13.3",
+    "aiohttp-socks>=0.11.0",
     "aiomysql>=0.2.0",
     "asyncpg>=0.31.0",
     "curl-cffi>=0.13.0",

readme.md

@@ -59,8 +59,6 @@ docker compose up -d
 
 > MySQL 示例：`mysql+aiomysql://user:password@host:3306/db`（若填 `mysql://` 会自动转为 `mysql+aiomysql://`）
 
-> MySQL 示例：`mysql+aiomysql://user:password@host:3306/db`（若填 `mysql://` 会自动转为 `mysql+aiomysql://`）
-
 ### 可用次数
 
 - Basic 账号：80 次 / 20h
@@ -79,6 +77,7 @@ docker compose up -d
 | `grok-4.1`               |  1  | Basic/Super |   支持   |   支持   |    -    |
 | `grok-4.1-thinking`      |  4  | Basic/Super |   支持   |   支持   |    -    |
 | `grok-imagine-1.0`       |  4  | Basic/Super |    -    |   支持   |    -    |
+| `grok-imagine-1.0-edit`  |  4  | Basic/Super |    -    |   支持   |    -    |
 | `grok-imagine-1.0-video` |  -  | Basic/Super |    -    |    -    |   支持   |
 
 <br>
@@ -112,7 +111,7 @@ curl http://localhost:8000/v1/chat/completions \
 | `thinking`           | string  | 思维链模式                     | `enabled`, `disabled`, `null`                      |
 | `video_config`       | object  | **视频模型专用配置对象**       | -                                                  |
 | └─`aspect_ratio`     | string  | 视频宽高比                     | `16:9`, `9:16`, `1:1`, `2:3`, `3:2`                |
-| └─`video_length`     | integer | 视频时长 (秒)                  | `6`, `10`                                          |
+| └─`video_length`     | integer | 视频时长 (秒)                  | `6`, `10`, `15`                                    |
 | └─`resolution_name`  | string  | 分辨率                         | `480p`, `720p`                                     |
 | └─`preset`           | string  | 风格预设                       | `fun`, `normal`, `spicy`, `custom`                 |
 
@@ -139,7 +138,7 @@ curl http://localhost:8000/v1/chat/completions \
 
 ### `POST /v1/images/generations`
 
-> 图像接口，支持图像生成、图像编辑
+> 图像生成接口
 
 ```bash
 curl http://localhost:8000/v1/images/generations \
@@ -163,6 +162,46 @@ curl http://localhost:8000/v1/images/generations \
 | `prompt`          | string  | 图像描述提示词   | -                                            |
 | `n`               | integer | 生成数量         | `1` - `10` (流式模式仅限 `1` 或 `2`)         |
 | `stream`          | boolean | 是否开启流式输出 | `true`, `false`                              |
+| `size`            | string  | 图片尺寸         | `1024x1024` (WS 模式支持映射到比例)          |
+| `quality`         | string  | 图片质量         | `standard` (暂不支持自定义)                  |
+| `response_format` | string  | 响应格式         | `url`, `b64_json`                            |
+| `style`           | string  | 风格             | - (暂不支持)                                 |
+
+注：`quality`、`style` 参数为 OpenAI 兼容保留，当前版本暂不支持自定义。
+当开启 `grok.image_ws=true` 时，`size` 将映射为宽高比（仅支持 5 种：`16:9`、`9:16`、`1:1`、`2:3`、`3:2`），也可以直接传以上比例字符串：  
+`1024x576/1280x720/1536x864 -> 16:9`，`576x1024/720x1280/864x1536 -> 9:16`，`1024x1024/512x512 -> 1:1`，`1024x1536/512x768/768x1024 -> 2:3`，`1536x1024/768x512/1024x768 -> 3:2`，其他值默认 `2:3`。
+
+<br>
+
+</details>
+
+<br>
+
+### `POST /v1/images/edits`
+
+> 图像编辑接口（multipart/form-data）
+
+```bash
+curl http://localhost:8000/v1/images/edits \
+  -H "Authorization: Bearer $GROK2API_API_KEY" \
+  -F "model=grok-imagine-1.0-edit" \
+  -F "prompt=把图片变清晰" \
+  -F "image=@/path/to/image.png" \
+  -F "n=1"
+```
+
+<details>
+<summary>支持的请求参数</summary>
+
+<br>
+
+| 字段              | 类型    | 说明             | 可用参数                                     |
+| :---------------- | :------ | :--------------- | :------------------------------------------- |
+| `model`           | string  | 图像模型名       | `grok-imagine-1.0-edit`                      |
+| `prompt`          | string  | 编辑描述         | -                                            |
+| `image`           | file    | 待编辑图片       | `png`, `jpg`, `webp`                         |
+| `n`               | integer | 生成数量         | `1` - `10` (流式模式仅限 `1` 或 `2`)         |
+| `stream`          | boolean | 是否开启流式输出 | `true`, `false`                              |
 | `size`            | string  | 图片尺寸         | `1024x1024` (暂不支持自定义)                 |
 | `quality`         | string  | 图片质量         | `standard` (暂不支持自定义)                  |
 | `response_format` | string  | 响应格式         | `url`, `b64_json`                            |
@@ -208,6 +247,10 @@ curl http://localhost:8000/v1/images/generations \
 |                       | `retry_budget`             | 退避预算     | 单次请求的最大重试总耗时（秒）。                     | `90.0`                                                  |
 |                       | `stream_idle_timeout`      | 流空闲超时   | 流式响应空闲超时（秒），超过将断开。                 | `45.0`                                                  |
 |                       | `video_idle_timeout`       | 视频空闲超时 | 视频生成空闲超时（秒），超过将断开。                 | `90.0`                                                  |
+|                       | `image_ws`                 | 图片 WS 生成 | 启用后 `/v1/images/generations` 走 WebSocket 直连。  | `false`                                                 |
+|                       | `image_ws_blocked_seconds` | WS Blocked 阈值 | 收到中等图后超过该秒数仍无最终图则判定 blocked。   | `15`                                                    |
+|                       | `image_ws_final_min_bytes` | WS 最终图最小字节 | 判定最终图的最小字节数（通常 JPG > 100KB）。    | `100000`                                                |
+|                       | `image_ws_nsfw`            | WS NSFW     | WS 请求里是否启用 NSFW。                             | `true`                                                  |
 | **token**       | `auto_refresh`             | 自动刷新     | 是否开启 Token 自动刷新机制。                        | `true`                                                  |
 |                       | `refresh_interval_hours`   | 刷新间隔     | Token 刷新的时间间隔（小时）。                       | `8`                                                     |
 |                       | `super_refresh_interval_hours` | Super 刷新间隔 | Super Token 刷新的时间间隔（小时）。               | `2`                                                     |

uv.lock

@@ -11,6 +11,96 @@ wheels = [
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 ]
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.13.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "propcache" },
+    { name = "yarl" },
+]
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 version = "3.3.1"
@@ -238,6 +422,8 @@ version = "1.5.0"
 source = { virtual = "." }
 dependencies = [
     { name = "aiofiles" },
+    { name = "aiohttp" },
+    { name = "aiohttp-socks" },
     { name = "aiomysql" },
     { name = "asyncpg" },
     { name = "curl-cffi" },
@@ -260,6 +446,8 @@ dependencies = [
 [package.metadata]
 requires-dist = [
     { name = "aiofiles", specifier = ">=25.1.0" },
+    { name = "aiohttp", specifier = ">=3.13.3" },
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     { name = "asyncpg", specifier = ">=0.31.0" },
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