fix(examples): use versioned Seed 2.1 Pro model ID

README.md

@@ -28,7 +28,7 @@ from arkruntime import Ark
 client = Ark()
 
 response = client.responses.create(
-    model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+    model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
     input="Explain how large language models work in three sentences.",
 )
 print(response.output_text)
@@ -43,7 +43,7 @@ from arkruntime import Ark
 client = Ark()
 
 completion = client.chat.completions.create(
-    model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+    model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
     messages=[
         {"role": "system", "content": "You are a helpful assistant."},
         {"role": "user", "content": "Write a haiku about programming."},
@@ -65,7 +65,7 @@ from arkruntime import Ark
 client = Ark()
 
 stream = client.responses.create(
-    model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+    model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
     input="Count from 1 to 10 slowly.",
     stream=True,
 )
@@ -82,7 +82,7 @@ from arkruntime import Ark
 client = Ark()
 
 stream = client.chat.completions.create(
-    model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+    model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
     messages=[{"role": "user", "content": "Count from 1 to 10 slowly."}],
     stream=True,
 )
@@ -104,7 +104,7 @@ client = AsyncArk()
 
 async def main():
     response = await client.responses.create(
-        model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+        model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
         input="Explain quantum computing briefly.",
     )
     print(response.output_text)
@@ -123,7 +123,7 @@ from arkruntime import Ark
 client = Ark()
 
 completion = client.chat.completions.create(
-    model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+    model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
     messages=[
         {
             "role": "user",
@@ -164,7 +164,7 @@ tools = [
 ]
 
 completion = client.chat.completions.create(
-    model=os.environ.get("ARK_MODEL", "doubao-seed-1-6"),
+    model=os.environ.get("ARK_MODEL", "doubao-seed-2-1-pro-260628"),
     messages=[{"role": "user", "content": "What is the weather in Beijing?"}],
     tools=tools,
 )
@@ -205,7 +205,7 @@ client = Ark()
 
 try:
     client.chat.completions.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         messages=[{"role": "user", "content": "Hello"}],
     )
 except ArkRateLimitError:
@@ -253,7 +253,7 @@ Per-request overrides are also supported:
 
 ```python
 client.chat.completions.create(
-    model="doubao-seed-1-6",
+    model="doubao-seed-2-1-pro-260628",
     messages=[{"role": "user", "content": "Hello"}],
     timeout=30.0,
 )
@@ -269,7 +269,7 @@ from arkruntime import Ark
 client = Ark(timeout=24 * 3600)
 
 result = client.batch.chat.completions.create(
-    model="doubao-seed-1-6",
+    model="doubao-seed-2-1-pro-260628",
     messages=[{"role": "user", "content": "Hello"}],
 )
 print(result)

examples/agents.py

@@ -3,7 +3,7 @@
 Runs against the outward /api/v3/agents endpoint.
 
     export ARK_API_KEY=...
-    export ARK_MODEL_ID=doubao-seed-1-8-251228   # or whatever you have access to
+    export ARK_MODEL_ID=doubao-seed-2-1-pro-260628   # or whatever you have access to
     python examples/agents.py
 """
 

examples/chat/completions.py

@@ -14,7 +14,7 @@
 # To get your ak&sk, please refer to this document(https://www.volcengine.com/docs/6291/65568)
 # For more information，please check this document（https://www.volcengine.com/docs/82379/1263279）
 client = Ark()
-MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-1-6")
+MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-2-1-pro-260628")
 
 
 if __name__ == "__main__":

examples/chat/function_call.py

@@ -13,7 +13,7 @@
 # Authentication
 # 1.If you authorize your endpoint using an API key, you can set your api key to environment variable "ARK_API_KEY"
 client = Ark()
-MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-1-6")
+MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-2-1-pro-260628")
 
 WEATHER_TOOL = {
     "type": "function",

examples/chat/reasoning_completions.py

@@ -5,7 +5,7 @@
 # Authentication
 # 1.If you authorize your endpoint using an API key, you can set your api key to environment variable "ARK_API_KEY"
 client = Ark()
-MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-1-6")
+MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-2-1-pro-260628")
 
 if __name__ == "__main__":
     # Streaming:

examples/chat/structured_output.py

@@ -18,7 +18,7 @@
 # Authentication
 # 1.If you authorize your endpoint using an API key, you can set your api key to environment variable "ARK_API_KEY"
 client = Ark()
-MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-1-6")
+MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-2-1-pro-260628")
 
 
 class MeetingInfo(BaseModel):

examples/chat/vision_completions.py

@@ -6,7 +6,7 @@
 # 1.If you authorize your endpoint using an API key, you can set your api key to environment variable "ARK_API_KEY"
 # or specify api key by Ark(api_key="${YOUR_API_KEY}").
 client = Ark()
-MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-1-6")
+MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-2-1-pro-260628")
 
 # Image input:
 response = client.chat.completions.create(

examples/responses/async_create.py

@@ -28,7 +28,7 @@ async def main():
     # ---------- 第 1 轮 ----------
     # 说明：开启 caching，store=True 表示把对话存储在服务端，以便后续引用
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {
                 "role": "system",
@@ -61,7 +61,7 @@ async def main():
     # ---------- 第 2 轮 ----------
     # 说明：通过 previous_response_id 关联上一轮的上下文
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         previous_response_id=response_id,
         input=[
             {"role": "user", "content": "上一轮对话里图里的内容是"},
@@ -83,7 +83,7 @@ async def main():
     # ---------- 第 1 轮 ----------
     # 用户询问北京天气，模型会触发工具调用
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {"role": "user", "content": "请问北京今天天气怎么样"},
         ],
@@ -126,7 +126,7 @@ async def main():
     # ---------- 第 2 轮 ----------
     # 把函数返回结果传回模型，让它继续生成最终回答
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         previous_response_id=response_id,
         input=[
             {
@@ -149,7 +149,7 @@ async def main():
     # ==========================================================
     print("Example 3: Use responses API for web search")
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {"role": "user", "content": "今天的新闻"},
         ],
@@ -178,7 +178,7 @@ async def main():
     # ---------- 第 1 轮 ----------
     # 用户询问repo信息，模型会触发mcp工具调用
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {
                 "role": "user",
@@ -213,7 +213,7 @@ async def main():
     # ---------- 第 2 轮 ----------
     # 用户同意mcp工具调用，模型会继续生成最终回答
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {
                 "type": "mcp_approval_response",

examples/responses/async_doubao_app.py

@@ -19,7 +19,7 @@ async def main():
     # ---------- 第 1 轮 ----------
     # 选择一种feature 测试
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {"role": "user", "content": "你好请你介绍你自己"},
         ],
@@ -48,7 +48,7 @@ async def main():
     # ---------- 第 2 轮 ----------
     # 说明：通过 previous_response_id 关联上一轮的上下文
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         previous_response_id=response_id,
         input=[
             {"role": "user", "content": "上一轮对话里我们说了什么"},

examples/responses/async_video.py

@@ -61,7 +61,7 @@ async def main() -> None:
     # ==========================================================
     print("\nTurn 1: ask the model to analyze the video frame-by-frame")
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         input=[
             {"role": "system", "content": "你是豆包，是由字节跳动开发的 AI 人工智能助手"},
             {
@@ -87,7 +87,7 @@ async def main() -> None:
     # ==========================================================
     print("\nTurn 2: follow-up referencing prior turn's response")
     stream = await client.responses.create(
-        model="doubao-seed-1-6",
+        model="doubao-seed-2-1-pro-260628",
         previous_response_id=response_id,
         input=[
             {"role": "user", "content": "上一轮对话里视频里的内容是"},

examples/sessions_loop.py

@@ -15,7 +15,7 @@
 examples/sessions_loop/main.go 1:1.
 
     export ARK_API_KEY=...
-    export ARK_MODEL_ID=doubao-seed-2-1-pro
+    export ARK_MODEL_ID=doubao-seed-2-1-pro-260628
     python examples/sessions_loop.py
 """
 

examples/tokenization.py

@@ -3,7 +3,7 @@
 from arkruntime import Ark
 
 client = Ark()
-MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-1-6")
+MODEL = os.environ.get("ENDPOINT_ID", "doubao-seed-2-1-pro-260628")
 
 print("----- tokenization request -----")
 resp = client.tokenization.create(