Update model names

.github/workflows/agent_ci.yaml

@@ -73,5 +73,7 @@ jobs:
         working-directory: erniebot-agent
       - name: Upload coverage reports to Codecov
         uses: codecov/codecov-action@v3
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          directory: erniebot-agent
+          name: erniebot-agent

README.md

@@ -60,10 +60,10 @@ import erniebot
 models = erniebot.Model.list()
 
 print(models)
-# ernie-bot             文心一言模型（ernie-bot）
-# ernie-bot-turbo       文心一言模型（ernie-bot-turbo）
-# ernie-bot-4           文心一言模型（ernie-bot-4）
-# ernie-bot-8k          文心一言模型（ernie-bot-8k）
+# ernie-3.5             文心大模型（ernie-3.5）
+# ernie-turbo           文心大模型（ernie-turbo）
+# ernie-4.0             文心大模型（ernie-4.0）
+# ernie-longtext        文心大模型（ernie-longtext）
 # ernie-text-embedding  文心百中语义模型
 # ernie-vilg-v2         文心一格模型
 
@@ -72,7 +72,7 @@ erniebot.api_type = "aistudio"
 erniebot.access_token = "<access-token-for-aistudio>"
 
 # Create a chat completion
-response = erniebot.ChatCompletion.create(model="ernie-bot", messages=[{"role": "user", "content": "你好，请介绍下你自己"}])
+response = erniebot.ChatCompletion.create(model="ernie-3.5", messages=[{"role": "user", "content": "你好，请介绍下你自己"}])
 
 print(response.get_result())
 ```
@@ -87,8 +87,8 @@ erniebot api model.list
 export EB_API_TYPE="aistudio"
 export EB_ACCESS_TOKEN="<access-token-for-aistudio>"
 
-# Create a chat completion (using ernie-bot, ernie-bot-turbo, etc.)
-erniebot api chat_completion.create --model ernie-bot --message user "请介绍下你自己"
+# Create a chat completion (using ernie-3.5, ernie-turbo, etc.)
+erniebot api chat_completion.create --model ernie-3.5 --message user "请介绍下你自己"
 
 # Set authentication params for image.create
 export EB_API_TYPE="yinian"
@@ -102,11 +102,11 @@ erniebot api image.create --model ernie-vilg-v2 --prompt "画一只驴肉火烧"
 
 ### 对话补全（Chat Completion）
 
-ERNIE Bot SDK提供具备对话补全能力的ernie-bot、ernie-bot-turbo、ernie-bot-4、ernie-bot-8k等文心一言系列模型。
+ERNIE Bot SDK提供具备对话补全能力的ernie-3.5、ernie-turbo、ernie-4.0、ernie-longtext等文心大模型。
 
 不同模型在效果、速度等方面各有千秋，大家可以根据实际场景的需求选择合适的模型。
 
-以下是调用ernie-bot模型进行多轮对话的示例：
+以下是调用ernie-3.5模型进行多轮对话的示例：
 
 ```python
 import erniebot
@@ -115,7 +115,7 @@ erniebot.api_type = "aistudio"
 erniebot.access_token = "<access-token-for-aistudio>"
 
 response = erniebot.ChatCompletion.create(
-    model="ernie-bot",
+    model="ernie-3.5",
     messages=[{
         "role": "user",
         "content": "请问你是谁？"
@@ -194,7 +194,7 @@ ERNIE Bot SDK提供函数调用功能，即由大模型根据对话上下文确
 
 借由函数调用，用户可以从大模型获取结构化数据，进而利用编程手段将大模型与已有的内外部API结合以构建应用。
 
-以下是调用ernie-bot模型进行函数调用的示例：
+以下是调用ernie-3.5模型进行函数调用的示例：
 
 ```python
 import erniebot
@@ -203,7 +203,7 @@ erniebot.api_type = "aistudio"
 erniebot.access_token = "<access-token-for-aistudio>"
 
 response = erniebot.ChatCompletion.create(
-    model="ernie-bot",
+    model="ernie-3.5",
     messages=[{
         "role": "user",
         "content": "深圳市今天气温多少摄氏度？",

erniebot-agent/examples/baizhong_search_example.py

@@ -117,7 +117,7 @@ def offline_ann(data_path, aurora_db):
     print(aurora_search.function_call_schema())
     # Tool Test
     result = asyncio.run(aurora_search(query=query))
-    llm = ERNIEBot(model="ernie-bot", api_type="custom")
+    llm = ERNIEBot(model="ernie-3.5", api_type="custom")
     memory = WholeMemory()
     # Agent test
     agent = FunctionalAgent(llm=llm, tools=[aurora_search], memory=memory)

erniebot-agent/examples/cookbook/construction_assistant.ipynb

@@ -351,8 +351,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# 创建一个ERNIEBot实例，使用\"ernie-bot-8k\"模型。\n",
-    "llm = ERNIEBot(model=\"ernie-bot-8k\")\n",
+    "# 创建一个ERNIEBot实例，使用\"ernie-longtext\"模型。\n",
+    "llm = ERNIEBot(model=\"ernie-longtext\")\n",
     "# 创建一个WholeMemory实例。这可能是一个用于存储对话历史和上下文信息的类，有助于模型理解和持续对话。\n",
     "memory = WholeMemory()\n",
     "# 创建一个FunctionalAgent实例。这个代理将使用上面创建的ERNIEBot模型和WholeMemory，同时传入了一个名为tool的工具。\n",

erniebot-agent/examples/cv_agent/CV_agent.py

@@ -14,7 +14,7 @@ def __init__(self):
         self.tools = self.toolkit.get_tools()
 
 
-llm = ERNIEBot(model="ernie-bot", api_type="aistudio", access_token="<your-access-token>")
+llm = ERNIEBot(model="ernie-3.5", api_type="aistudio", access_token="<your-access-token>")
 toolkit = CVToolkit()
 memory = WholeMemory()
 file_manager = get_file_manager()

erniebot-agent/examples/functional_agent_with_retrieval_example.py

@@ -71,7 +71,7 @@ def offline_ann(data_path, baizhong_db):
         res = offline_ann(args.data_path, baizhong_db)
         print(res)
 
-    llm = ERNIEBot(model="ernie-bot", api_type="custom")
+    llm = ERNIEBot(model="ernie-3.5", api_type="custom")
 
     retrieval_tool = BaizhongSearchTool(
         description="Use Baizhong Search to retrieve documents.", db=baizhong_db, threshold=0.1

erniebot-agent/examples/plugins/multiple_plugins.py

@@ -107,7 +107,7 @@ def examples(self) -> List[Message]:
 
 
 # TODO(shiyutang): replace this when model is online
-llm = ERNIEBot(model="ernie-bot", api_type="custom")
+llm = ERNIEBot(model="ernie-3.5", api_type="custom")
 memory = SlidingWindowMemory(max_round=1)
 file_manager = get_file_manager(access_token="")  # Access_token needs to be set here.
 # plugins = ["ChatFile", "eChart"]

erniebot-agent/examples/rpg_game_agent.py

@@ -64,7 +64,7 @@ def parse_args():
     parser = argparse.ArgumentParser(prog="erniebot-RPG")
     parser.add_argument("--access-token", type=str, default=None, help="Access token to use.")
     parser.add_argument("--game", type=str, default="射雕英雄传", help="Story name")
-    parser.add_argument("--model", type=str, default="ernie-bot-4", help="Model name")
+    parser.add_argument("--model", type=str, default="ernie-4.0", help="Model name")
     return parser.parse_args()
 
 

erniebot-agent/src/erniebot_agent/chat_models/erniebot.py

@@ -52,8 +52,8 @@ def __init__(
         """Initializes an instance of the `ERNIEBot` class.
 
         Args:
-            model (str): The model name. It should be "ernie-bot", "ernie-bot-turbo", "ernie-bot-8k", or
-                "ernie-bot-4".
+            model (str): The model name. It should be "ernie-3.5", "ernie-turbo", "ernie-4.0", or
+                "ernie-longtext".
             api_type (Optional[str]): The API type for erniebot. It should be "aistudio" or "qianfan".
             access_token (Optional[str]): The access token for erniebot.
             close_multi_step_tool_call (bool): Whether to close the multi-step tool call. Defaults to False.

erniebot-agent/src/erniebot_agent/extensions/langchain/chat_models/erniebot.py

@@ -33,7 +33,7 @@ class ErnieBotChat(BaseChatModel):
     Example:
         .. code-block:: python
             from erniebot_agent.extensions.langchain.chat_models import ErnieBotChat
-            erniebot_chat = ErnieBotChat(model="ernie-bot")
+            erniebot_chat = ErnieBotChat(model="ernie-3.5")
     """
 
     client: Any = None
@@ -44,7 +44,7 @@ class ErnieBotChat(BaseChatModel):
     streaming: bool = False
     """Whether to stream the results or not."""
 
-    model: str = "ernie-bot"
+    model: str = "ernie-3.5"
     """Model to use."""
     temperature: Optional[float] = 0.95
     """Sampling temperature to use."""

erniebot-agent/src/erniebot_agent/extensions/langchain/llms/erniebot.py

@@ -23,7 +23,7 @@ class ErnieBot(LLM):
         .. code-block:: python
 
             from erniebot_agent.extensions.langchain.llms import ErnieBot
-            erniebot = ErnieBot(model="ernie-bot")
+            erniebot = ErnieBot(model="ernie-3.5")
     """
 
     client: Any = None
@@ -34,7 +34,7 @@ class ErnieBot(LLM):
     streaming: bool = False
     """Whether to stream the results or not."""
 
-    model: str = "ernie-bot"
+    model: str = "ernie-3.5"
     """Model to use."""
     temperature: Optional[float] = 0.95
     """Sampling temperature to use."""

erniebot-agent/tests/chat_models/test_chat_model.py

@@ -5,7 +5,7 @@
 from erniebot_agent.message import HumanMessage
 
 
-async def test_ernie_bot(model="ernie-bot-turbo", stream=False):
+async def test_ernie_bot(model="ernie-turbo", stream=False):
     api_type = "aistudio"
     access_token = os.getenv("ACCESS_TOKEN")  # set your access token as an environment variable
     assert (

erniebot-agent/tests/integration_tests/agents/test_functional_agent.py

@@ -14,7 +14,7 @@
 
 @pytest.fixture(scope="module")
 def llm():
-    return ERNIEBot(model="ernie-bot")
+    return ERNIEBot(model="ernie-3.5")
 
 
 @pytest.fixture(scope="module")

erniebot-agent/tests/integration_tests/apihub/base.py

@@ -41,9 +41,9 @@ def download_fixture_file(self, file_name: str):
 
     def get_agent(self, toolkit: RemoteToolkit):
         if "EB_BASE_URL" in os.environ:
-            llm = ERNIEBot(model="ernie-bot", api_type="custom")
+            llm = ERNIEBot(model="ernie-3.5", api_type="custom")
         else:
-            llm = ERNIEBot(model="ernie-bot")
+            llm = ERNIEBot(model="ernie-3.5")
 
         return FunctionalAgent(
             llm=llm,

erniebot-agent/tests/integration_tests/chat_models/test_chat_model.py

@@ -11,7 +11,7 @@ class TestChatModel(unittest.IsolatedAsyncioTestCase):
     @pytest.mark.asyncio
     async def test_chat(self):
         eb = ERNIEBot(
-            model="ernie-bot-turbo", api_type="aistudio", access_token=os.environ["AISTUDIO_ACCESS_TOKEN"]
+            model="ernie-turbo", api_type="aistudio", access_token=os.environ["AISTUDIO_ACCESS_TOKEN"]
         )
         messages = [
             HumanMessage(content="你好！"),
@@ -64,9 +64,9 @@ async def test_function_call(self):
                 },
             }
         ]
-        # use ernie-bot here since ernie-bot-turbo doesn't support function call
+        # use ernie-3.5 here since ernie-turbo doesn't support function call
         eb = ERNIEBot(
-            model="ernie-bot", api_type="aistudio", access_token=os.environ["AISTUDIO_ACCESS_TOKEN"]
+            model="ernie-3.5", api_type="aistudio", access_token=os.environ["AISTUDIO_ACCESS_TOKEN"]
         )
         messages = [
             HumanMessage(content="深圳市今天的气温是多少摄氏度？"),

erniebot-agent/tests/integration_tests/extensions/langchain/chat_models/test_ernie_bot.py

@@ -71,7 +71,7 @@ async def test_erniebot_astream() -> None:
 
 def test_erniebot_params() -> None:
     """Test setting parameters."""
-    chat = ErnieBotChat(model="ernie-bot-turbo", temperature=0.7)
+    chat = ErnieBotChat(model="ernie-turbo", temperature=0.7)
     message = HumanMessage(content="Hello")
     response = chat([message])
     assert isinstance(response, BaseMessage)

erniebot-agent/tests/integration_tests/tools/test_calculator.py

@@ -19,7 +19,7 @@ def setUp(self) -> None:
 
     def run_query(self, query):
         response = erniebot.ChatCompletion.create(
-            model="ernie-bot",
+            model="ernie-3.5",
             messages=[
                 {
                     "role": "user",

erniebot-agent/tests/unit_tests/tools/test_image_generation.py

@@ -57,7 +57,7 @@ async def test_agent(self):
         if yinian_ak is None or yinian_sk is None:
             return
 
-        eb = ERNIEBot(model="ernie-bot", api_type="aistudio", access_token=aistudio_access_token)
+        eb = ERNIEBot(model="ernie-3.5", api_type="aistudio", access_token=aistudio_access_token)
         memory = WholeMemory()
         img_gen_tool = ImageGenerationTool(yinian_ak=yinian_ak, yinian_sk=yinian_sk)
         agent = FunctionalAgent(llm=eb, tools=[img_gen_tool], memory=memory)

erniebot/README.md

@@ -60,10 +60,10 @@ import erniebot
 models = erniebot.Model.list()
 
 print(models)
-# ernie-bot             文心一言模型（ernie-bot）
-# ernie-bot-turbo       文心一言模型（ernie-bot-turbo）
-# ernie-bot-4           文心一言模型（ernie-bot-4）
-# ernie-bot-8k          文心一言模型（ernie-bot-8k）
+# ernie-3.5             文心大模型（ernie-3.5）
+# ernie-turbo           文心大模型（ernie-turbo）
+# ernie-4.0             文心大模型（ernie-4.0）
+# ernie-longtext        文心大模型（ernie-longtext）
 # ernie-text-embedding  文心百中语义模型
 # ernie-vilg-v2         文心一格模型
 
@@ -72,7 +72,7 @@ erniebot.api_type = "aistudio"
 erniebot.access_token = "<access-token-for-aistudio>"
 
 # Create a chat completion
-response = erniebot.ChatCompletion.create(model="ernie-bot", messages=[{"role": "user", "content": "你好，请介绍下你自己"}])
+response = erniebot.ChatCompletion.create(model="ernie-3.5", messages=[{"role": "user", "content": "你好，请介绍下你自己"}])
 
 print(response.get_result())
 ```
@@ -87,8 +87,8 @@ erniebot api model.list
 export EB_API_TYPE="aistudio"
 export EB_ACCESS_TOKEN="<access-token-for-aistudio>"
 
-# Create a chat completion (using ernie-bot, ernie-bot-turbo, etc.)
-erniebot api chat_completion.create --model ernie-bot --message user "请介绍下你自己"
+# Create a chat completion (using ernie-3.5, ernie-turbo, etc.)
+erniebot api chat_completion.create --model ernie-3.5 --message user "请介绍下你自己"
 
 # Set authentication params for image.create
 export EB_API_TYPE="yinian"
@@ -102,11 +102,11 @@ erniebot api image.create --model ernie-vilg-v2 --prompt "画一只驴肉火烧"
 
 ### 对话补全（Chat Completion）
 
-ERNIE Bot SDK提供具备对话补全能力的ernie-bot、ernie-bot-turbo、ernie-bot-4、ernie-bot-8k等文心一言系列模型。
+ERNIE Bot SDK提供具备对话补全能力的ernie-3.5、ernie-turbo、ernie-4.0、ernie-longtext等文心大模型。
 
 不同模型在效果、速度等方面各有千秋，大家可以根据实际场景的需求选择合适的模型。
 
-以下是调用ernie-bot模型进行多轮对话的示例：
+以下是调用ernie-3.5模型进行多轮对话的示例：
 
 ```python
 import erniebot
@@ -115,7 +115,7 @@ erniebot.api_type = "aistudio"
 erniebot.access_token = "<access-token-for-aistudio>"
 
 response = erniebot.ChatCompletion.create(
-    model="ernie-bot",
+    model="ernie-3.5",
     messages=[{
         "role": "user",
         "content": "请问你是谁？"
@@ -194,7 +194,7 @@ ERNIE Bot SDK提供函数调用功能，即由大模型根据对话上下文确
 
 借由函数调用，用户可以从大模型获取结构化数据，进而利用编程手段将大模型与已有的内外部API结合以构建应用。
 
-以下是调用ernie-bot模型进行函数调用的示例：
+以下是调用ernie-3.5模型进行函数调用的示例：
 
 ```python
 import erniebot
@@ -203,7 +203,7 @@ erniebot.api_type = "aistudio"
 erniebot.access_token = "<access-token-for-aistudio>"
 
 response = erniebot.ChatCompletion.create(
-    model="ernie-bot",
+    model="ernie-3.5",
     messages=[{
         "role": "user",
         "content": "深圳市今天气温多少摄氏度？",