feat: support seedance2 and seedream5

python/02-use-cases/ad_video_gen_seq/README.md

@@ -48,7 +48,7 @@
 开始前，请确保您的开发环境满足以下要求：
 
 - Python 3.12 或更高版本
-- veadk-python 0.5.5（见 `pyproject.toml`）
+- veadk-python 0.5.22（见 `pyproject.toml`）
 - 推荐使用 `uv` 进行依赖管理
 - 本地需要可用的 `ffmpeg`（用于 `moviepy` 合成视频）
 - <a target="_blank" href="https://console.volcengine.com/ark/region:ark+cn-beijing/apiKey">获取火山方舟 API KEY</a>
@@ -173,6 +173,7 @@ agentkit launch
 ## 示例提示词
 
 以下是一些常用的提示词示例：
+
 - `请生成一条巧克力的圣诞节营销视频。商品名：圣诞限定黑巧克力礼盒装。适用场景和人群：适合所有巧克力爱好者，特别是追求圣诞节极致口感、甜蜜分享与能量补充的消费者；适用于圣诞下午茶时光、节日亲友聚会、温馨赠礼或任何需要增添节日氛围的愉悦时刻。主要成分：精选可可豆、纯可可脂、优质牛奶、天然香草，无添加人工色素和防腐剂，富含抗氧化剂。口味/特点：入口即化，丝滑醇厚，浓郁可可香，微苦回甘中带有节日限定的暖心回味 http://lf3-static.bytednsdoc.com/obj/eden-cn/lm_sth/ljhwZthlaukjlkulzlp/ark/assistant/images/ad_chocolate.png`
 - `请生成一条面包营销视频。商品名：奶香松软拉丝吐司；适用场景和人群：场景：早餐配餐、下午茶点、日常代餐，人群：上班族、学生党、家庭群体（偏好松软口感的面包爱好者）；主要成分：高筋面粉、牛奶、鸡蛋、黄油、酵母、白砂糖；口味 / 特点：口味：浓郁奶香，搭配黄油 + 蜂蜜后口感香甜柔润，特点：面包质地松软、切面蜂窝气孔均匀，烤后表皮带焦脆斑点，兼具松软内里与香脆外皮的双重口感 http://lf3-static.bytednsdoc.com/obj/eden-cn/lm_sth/ljhwZthlaukjlkulzlp/ark/assistant/images/ad_bread.jpeg`
 - `生成一条侘寂风香薰蜡烛的商品图电商营销视频。商品名：侘寂风香薰蜡烛；适用场景和人群：场景：居家客厅装饰、卧室助眠、书房放松、极简风空间氛围营造，人群：喜欢极简 / 侘寂美学的家居爱好者、追求松弛感的都市白领、香薰收藏者；主要成分：天然大豆蜡、植物精油、水泥罐身、纸质标识贴；气味 / 特点：气味：可选木质调（雪松 / 檀香）、草本调（鼠尾草 / 尤加利）等中性舒缓香型，特点：水泥罐身带原生肌理质感，搭配黑白极简花纹标识，烛火柔和不刺眼；罐身可重复利用，整体风格低调质朴，契合侘寂美学的调性 http://lf3-static.bytednsdoc.com/obj/eden-cn/lm_sth/ljhwZthlaukjlkulzlp/ark/assistant/images/ad_candle.jpeg`

python/02-use-cases/ad_video_gen_seq/README_en.md

@@ -48,7 +48,7 @@ The system exposes one Root Agent and orchestrates the following sub-agents in s
 Before starting, make sure your environment meets these requirements:
 
 - Python 3.12 or later
-- veadk-python 0.5.5 (see `pyproject.toml`)
+- veadk-python 0.5.22 (see `pyproject.toml`)
 - `uv` is recommended for dependency management
 - `ffmpeg` available locally (used by `moviepy` for video composition)
 - <a target="_blank" href="https://console.volcengine.com/ark/region:ark+cn-beijing/apiKey">Get Volcengine Ark API KEY</a>
@@ -197,4 +197,3 @@ FAQ list to be added.
 ## License
 
 This project is open-sourced. See the LICENSE file in the repository root for details.
-

python/02-use-cases/ad_video_gen_seq/app/image/tools/image_generate_gather.py

@@ -20,18 +20,35 @@
     image_generate as image_generate_builtin,
 )
 from veadk.utils.logger import get_logger
+from veadk.config import getenv
+from veadk.consts import DEFAULT_IMAGE_GENERATE_MODEL_NAME
+
 
 logger = get_logger(__name__)
 
 
-async def image_generate(tasks: list[dict], tool_context: ToolContext) -> Dict:
+async def image_generate(
+    tasks: list[dict],
+    tool_context: ToolContext,
+    timeout: int = 600,
+    model_name: str = getenv("MODEL_IMAGE_NAME", DEFAULT_IMAGE_GENERATE_MODEL_NAME),
+) -> Dict:
     """Generate images with Seedream 4.5.
 
     Commit batch image generation requests via tasks.
 
     Args:
         tasks (list[dict]):
             A list of image-generation tasks. Each task is a dict.
+        timeout (int)
+            The timeout limit for the image generation task request, in seconds, with a default value of 600 seconds.
+        model_name (str):
+            Optional model name. If not specified, use the default model from environment.
+            If during execution, this tool encounters a model-related error (note that it must be a model-related error, otherwise do not perform this action), such as `ModelNotOpen`,
+            then after reminding about the relevant issue, you can execute this tool again and downgrade the model to the following models, passing this parameter:
+            - `doubao-seedream-5-0-260128`
+            - `doubao-seedream-4-5-251128`
+            - `doubao-seedream-4-0-250828`
     Per-task schema
     ---------------
     Required:
@@ -89,7 +106,7 @@ async def image_generate(tasks: list[dict], tool_context: ToolContext) -> Dict:
     - 组图任务必须 sequential_image_generation="auto"。
     - size 推荐使用 2048x2048 或表格里的标准比例，确保生成质量。
     """
-    logger.debug(f"image_generate_gather tasks: {tasks}")
+    logger.error(f"image_generate_gather tasks: {tasks}")
     new_tasks = []
     task_origin_info = []  # Stores (original_task_index, sub_index_within_group)
 
@@ -146,7 +163,9 @@ async def image_generate(tasks: list[dict], tool_context: ToolContext) -> Dict:
 
     # Call the underlying image_generate function with the flattened list of tasks
     logger.debug(f"image_generate_gather new_tasks: {new_tasks}")
-    raw_result = await image_generate_builtin(new_tasks, tool_context)
+    raw_result = await image_generate_builtin(
+        new_tasks, tool_context, timeout, model_name
+    )
     logger.debug(f"image_generate_gather raw_result: {raw_result}")
 
     # Remap the results to match the original task structure
@@ -166,6 +185,10 @@ async def image_generate(tasks: list[dict], tool_context: ToolContext) -> Dict:
 
             original_idx, original_sub_idx = task_origin_info[new_task_idx]
             new_key = f"task_{original_idx}_image_{original_sub_idx}"
+            logger.error(
+                f"image_generate_gather new_task_idx: {new_task_idx}, original_idx: {original_idx}, original_sub_idx: {original_sub_idx}"
+            )
+            logger.error(f"image_generate_gather new_key: {new_key}, url: {url}")
             remapped_success.append({new_key: url})
 
     for error_item in raw_result.get("error_list", []):

python/02-use-cases/ad_video_gen_seq/app/video/tools/video_generate_by_code.py

@@ -18,13 +18,16 @@
 from veadk.tools.builtin_tools.video_generate import (
     video_generate as video_generate_builtin,
 )
+from veadk.config import getenv
+from veadk.consts import DEFAULT_VIDEO_MODEL_NAME
 
 
 async def video_generate(
     params: list,
     tool_context: ToolContext,
     batch_size: int = 10,
     max_wait_seconds: int = 1200,
+    model_name: str = getenv("MODEL_VIDEO_NAME", DEFAULT_VIDEO_MODEL_NAME),
 ) -> Dict:
     """
     Generate videos in **batch** from text prompts, optionally guided by a first/last frame,
@@ -82,6 +85,13 @@ async def video_generate(
                 - Size: < 30 MB
                 - Base64 data URL example: `data:image/png;base64,<BASE64>`
 
+        Optional model_name(str):
+                If the user does not specify, do not pass this parameter and use the default value.
+                If during execution, this tool encounters a model-related error (note that it must be a model-related error, otherwise do not perform this action), such as `ModelNotOpen`,
+                then after reminding about the relevant issue, you can execute this tool again and downgrade the model to the following models, passing this parameter:
+                `doubao-seedance-1-5-pro-251215`
+                `doubao-seedance-1-0-pro-250528`
+
     Model text commands (append after the prompt; unsupported keys are ignored by some models):
         --rs / --resolution <value>       Video resolution. Common values: 480p, 720p, 1080p.
                                           Default depends on model (e.g., doubao-seedance-1-0-pro: 1080p,
@@ -148,5 +158,5 @@ async def video_generate(
                 f"（可以有极其轻度的动作音，但禁止任何人声，禁止背景音乐，禁止音效，禁止旁白，禁止解说）{item['prompt']}"
             )
     return await video_generate_builtin(
-        params, tool_context, batch_size, max_wait_seconds
+        params, tool_context, batch_size, max_wait_seconds, model_name
     )

python/02-use-cases/ad_video_gen_seq/pyproject.toml

@@ -5,7 +5,7 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
-    "veadk-python==0.5.5",
+    "veadk-python==0.5.22",
     "uvicorn>=0.38.0",
     "moviepy>=2.2.1",
     "requests>=2.32.5",

python/02-use-cases/ad_video_gen_seq/requirements.txt

@@ -245,7 +245,7 @@ uritemplate==4.2.0
 urllib3==2.6.2
 uv==0.9.21
 uvicorn==0.40.0
-veadk-python==0.5.5
+veadk-python==0.5.22
 vikingdb-python-sdk==0.1.3
 volcengine==1.0.212
 volcengine-python-sdk==5.0.3