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z--ZuJg`blK!6$!Epsfb@u7me^DL&!G;>%nb+m&64InPUDu9Eo|o|k6A-j?5HzVhNt5BbU%wT8OQi5{`@`;Q z3g1f>eshHI3VK&W%_->YVywBI?ZHyWMQ}X)Ypw1bl1Jx<;D{XEUL{Z%r{L55XAVm*a%e#d~M^_Es0~}(edqL`@$7q8$7PI^p zBzx3biLCSmsV3^pME1f9(pX_K`|k_VnS|rrd`oulCFvcu=OyWw@Dr8U)*A$qQyxNk zZ~>}EMYzpZ(J@_E`XI_!!j6TdDN)W6bi8xT_7d`xW8|CwIrIv6-0*DJC*>+bl|oKn zfk&kbML`tQfN^lY{mKgR`X1?i+fbQ{Qp$qQ5S9lWC9H8Tn2w_(h0)8x3@u^j_DUCNoWjmnb0{P^b?l}En(vgJ_=|6n{cVi2MWo_=rC~=8s$c!JlseEAV^Source code for agentscope.logging

 LEVEL_SAVE_MSG = "SAVE_MSG"
 
 _DEFAULT_LOG_FORMAT = (
-    "<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{"
+    "<green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{"
     "level: <8}</level> | <cyan>{name}</cyan>:<cyan>{"
     "function}</cyan>:<cyan>{line}</cyan> - <level>{"
     "message}</level>"
diff --git a/en/_modules/agentscope/models/model.html b/en/_modules/agentscope/models/model.html
index cfaede079..100f374a5 100644
--- a/en/_modules/agentscope/models/model.html
+++ b/en/_modules/agentscope/models/model.html
@@ -362,7 +362,7 @@ 
Source code for agentscope.models.model
         self,
         *args: Union[Msg, Sequence[Msg]],
     ) -> Union[List[dict], str]:
-        """Format the input string or dict into the format that the model
+        """Format the input messages into the format that the model
         API required."""
         raise NotImplementedError(
             f"Model Wrapper [{type(self).__name__}]"
diff --git a/en/_modules/agentscope/service.html b/en/_modules/agentscope/service.html
index c5ddb274a..87a4ee067 100644
--- a/en/_modules/agentscope/service.html
+++ b/en/_modules/agentscope/service.html
@@ -189,7 +189,10 @@ 
Source code for agentscope.service
 [docs]
 def get_help() -> None:
     """Get help message."""
-    help_msg = f"The following service are available:\n{__all__}"
+
+    help_msg = "\n - ".join(
+        ["The following services are available:"] + __all__[4:],
+    )
     logger.info(help_msg)

 
 
diff --git a/en/_modules/agentscope/service/browser/web_browser.html b/en/_modules/agentscope/service/browser/web_browser.html
index daef878ee..7dfdab767 100644
--- a/en/_modules/agentscope/service/browser/web_browser.html
+++ b/en/_modules/agentscope/service/browser/web_browser.html
@@ -426,7 +426,7 @@ 
Source code for agentscope.service.browser.web_browser
self._page.evaluate("element => element.focus()", web_ele)
 
         # Type in the text
-        web_ele.type(text)
+        web_ele.type(str(text))
         self._wait_for_load(
             "Wait for finish typing",
             "Finished",
diff --git a/en/_modules/agentscope/tokens.html b/en/_modules/agentscope/tokens.html
new file mode 100644
index 000000000..97d71d408
--- /dev/null
+++ b/en/_modules/agentscope/tokens.html
@@ -0,0 +1,566 @@
+
+
+
+
+
+
+  
+  
+  agentscope.tokens — AgentScope  documentation
+      
+      
+      
+
+  
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+    
+    
+     
+
+
+ 
+  

+    
+
+    

+
+      

+        

+          

+  
+  

+

+          

+           

+             
+  
Source code for agentscope.tokens
+# -*- coding: utf-8 -*-
+"""The tokens interface for agentscope."""
+import os
+from http import HTTPStatus
+from typing import Callable, Union, Optional, Any
+
+from loguru import logger
+
+
+__register_models = {}
+# The dictionary to store the model names and token counting functions.
+# TODO: a more elegant way to store the model names and functions.
+
+
+

+[docs]
+def count(model_name: str, messages: list[dict[str, str]]) -> int:
+    """Count the number of tokens for the given model and messages.
+
+    Args:
+        model_name (`str`):
+            The name of the model.
+        messages (`list[dict[str, str]]`):
+            A list of dictionaries.
+    """
+    # Type checking
+    if not isinstance(model_name, str):
+        raise TypeError(
+            f"Expected model_name to be a string, but got {type(model_name)}.",
+        )
+    if not isinstance(messages, list):
+        raise TypeError(
+            f"Expected messages to be a list, but got {type(messages)}.",
+        )
+    for i, message in enumerate(messages):
+        if not isinstance(message, dict):
+            raise TypeError(
+                f"Expected messages[{i}] to be a dict, but got "
+                f"{type(message)}.",
+            )
+
+    # Counting tokens according to the model name
+    # Register models
+    if model_name in __register_models:
+        return __register_models[model_name](model_name, messages)
+
+    # OpenAI
+    elif model_name.startswith("gpt-"):
+        return count_openai_tokens(model_name, messages)
+
+    # Gemini
+    elif model_name.startswith("gemini-"):
+        return count_gemini_tokens(model_name, messages)
+
+    # Dashscope
+    elif model_name.startswith("qwen-"):
+        return count_dashscope_tokens(model_name, messages)
+
+    else:
+        raise ValueError(
+            f"Unsupported model {model_name} for token counting. "
+            "Please register the model with the corresponding token counting "
+            "function by "
+            "`agentscope.tokens.register_model(model_name, token_count_func)`",
+        )

+
+
+
+def _count_content_tokens_for_openai_vision_model(
+    content: list[dict],
+    encoding: Any,
+) -> int:
+    """Yield the number of tokens for the content of an OpenAI vision model.
+    Implemented according to https://platform.openai.com/docs/guides/vision.
+
+    Args:
+        content (`list[dict]`):
+            A list of dictionaries.
+        encoding (`Any`):
+            The encoding object.
+
+    Example:
+        .. code-block:: python
+
+            _yield_tokens_for_openai_vision_model(
+                [
+                    {
+                        "type": "text",
+                        "text": "xxx",
+                    },
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": "xxx",
+                            "detail": "auto",
+                        }
+                    },
+                    # ...
+                ]
+            )
+
+    Returns:
+        `Generator[int, None, None]`: Generate the number of tokens in a
+        generator.
+    """
+    num_tokens = 0
+    for item in content:
+        if not isinstance(item, dict):
+            raise TypeError(
+                "If you're using a vision model for OpenAI models,"
+                "The content field should be a list of "
+                f"dictionaries, but got {type(item)}.",
+            )
+
+        typ = item.get("type", None)
+        if typ == "text":
+            num_tokens += len(encoding.encode(item["text"]))
+
+        elif typ == "image_url":
+            # By default, we use high here to avoid undercounting tokens
+            detail = item.get("image_url").get("detail", "high")
+            if detail == "low":
+                num_tokens += 85
+            elif detail in ["auto", "high"]:
+                num_tokens += 170
+            else:
+                raise ValueError(
+                    f"Unsupported image detail {detail}, expected "
+                    f"one of ['low', 'auto', 'high'].",
+                )
+        else:
+            raise ValueError(
+                "The type field currently only supports 'text' "
+                f"and 'image_url', but got {typ}.",
+            )
+    return num_tokens
+
+
+

+[docs]
+def count_openai_tokens(  # pylint: disable=too-many-branches
+    model_name: str,
+    messages: list[dict[str, str]],
+) -> int:
+    """Count the number of tokens for the given OpenAI Chat model and
+    messages.
+
+    Refer to https://platform.openai.com/docs/advanced-usage/managing-tokens
+
+    Args:
+        model_name (`str`):
+            The name of the OpenAI Chat model, e.g. "gpt-4o".
+        messages (`list[dict[str, str]]`):
+            A list of dictionaries. Each dictionary should have the keys
+            of "role" and "content", and an optional key of "name". For vision
+            LLMs, the value of "content" should be a list of dictionaries.
+    """
+    import tiktoken
+
+    try:
+        encoding = tiktoken.encoding_for_model(model_name)
+    except KeyError:
+        encoding = tiktoken.get_encoding("o200k_base")
+
+    if model_name in {
+        "gpt-3.5-turbo-0125",
+        "gpt-4-0314",
+        "gpt-4-32k-0314",
+        "gpt-4-0613",
+        "gpt-4-32k-0613",
+        "gpt-4o-mini-2024-07-18",
+        "gpt-4o-2024-08-06",
+    }:
+        tokens_per_message = 3
+        tokens_per_name = 1
+    elif "gpt-3.5-turbo" in model_name:
+        return count_openai_tokens(
+            model_name="gpt-3.5-turbo-0125",
+            messages=messages,
+        )
+    elif "gpt-4o-mini" in model_name:
+        return count_openai_tokens(
+            model_name="gpt-4o-mini-2024-07-18",
+            messages=messages,
+        )
+    elif "gpt-4o" in model_name:
+        return count_openai_tokens(
+            model_name="gpt-4o-2024-08-06",
+            messages=messages,
+        )
+    elif "gpt-4" in model_name:
+        return count_openai_tokens(model_name="gpt-4-0613", messages=messages)
+    else:
+        raise NotImplementedError(
+            f"count_openai_tokens() is not implemented for "
+            f"model {model_name}.",
+        )
+
+    num_tokens = 3  # every reply is primed with <|start|>assistant<|message|>
+    for message in messages:
+        num_tokens += tokens_per_message
+        for key, value in message.items():
+            # Considering vision models
+            if key == "content" and isinstance(value, list):
+                num_tokens += _count_content_tokens_for_openai_vision_model(
+                    value,
+                    encoding,
+                )
+
+            elif isinstance(value, str):
+                num_tokens += len(encoding.encode(value))
+
+            else:
+                raise TypeError(
+                    f"Invalid type {type(value)} in the {key} field.",
+                )
+
+            if key == "name":
+                num_tokens += tokens_per_name
+
+    return num_tokens

+
+
+
+

+[docs]
+def count_gemini_tokens(
+    model_name: str,
+    messages: list[dict[str, str]],
+) -> int:
+    """Count the number of tokens for the given Gemini model and messages.
+
+    Args:
+        model_name (`str`):
+            The name of the Gemini model, e.g. "gemini-1.5-pro".
+        messages (`list[dict[str, str]]`):
+    """
+    try:
+        import google.generativeai as genai
+    except ImportError as exc:
+        raise ImportError(
+            "The package `google.generativeai` is required for token counting "
+            "for Gemini models. Install it with "
+            "`pip install -q -U google-generativeai` and refer to "
+            "https://ai.google.dev/gemini-api/docs/get-started/"
+            "tutorial?lang=python for details.",
+        ) from exc
+
+    model = genai.GenerativeModel(model_name)
+    tokens_count = model.count_tokens(messages).total_tokens
+    return tokens_count

+
+
+
+

+[docs]
+def count_dashscope_tokens(
+    model_name: str,
+    messages: list[dict[str, str]],
+    api_key: Optional[str] = None,
+) -> int:
+    """Count the number of tokens for the given Dashscope model and messages.
+
+    Note this function will call the Dashscope API to count the tokens.
+    Refer to
+    https://help.aliyun.com/zh/dashscope/developer-reference/token-api?spm=5176.28197632.console-base_help.dexternal.1c407e06Y2bQVB&disableWebsiteRedirect=true
+    for more details.
+
+    Args:
+        model_name (`str`):
+            The name of the Dashscope model, e.g. "qwen-max".
+        messages (`list[dict[str, str]]`):
+            The list of messages, each message is a dict with the key 'text'.
+        api_key (`Optional[str]`, defaults to `None`):
+            The API key for Dashscope. If `None`, the API key will be read
+            from the environment variable `DASHSCOPE_API_KEY`.
+
+    Returns:
+        `int`: The number of tokens.
+    """
+    try:
+        import dashscope
+    except ImportError as exc:
+        raise ImportError(
+            "The package `dashscope` is required for token counting "
+            "for Dashscope models.",
+        ) from exc
+
+    response = dashscope.Tokenization.call(
+        model=model_name,
+        messages=messages,
+        api_key=api_key or os.environ.get("DASHSCOPE_API_KEY"),
+    )
+
+    if response.status_code != HTTPStatus.OK:
+        raise RuntimeError({**response})
+
+    return response.usage["input_tokens"]

+
+
+
+

+[docs]
+def supported_models() -> list[str]:
+    """Get the list of supported models for token counting."""
+    infos = [
+        "Supported models for token counting: ",
+        " 1. OpenAI Chat models (starting with 'gpt-') ",
+        " 2. Gemini models (starting with 'gemini-') ",
+        " 3. Dashscope models (starting with 'qwen-') ",
+        f" 4. Registered models: {', '.join(__register_models.keys())} ",
+    ]
+    for info in infos:
+        logger.info(info)
+
+    return ["gpt-.*", "gemini-.*", "qwen-.*"] + list(__register_models.keys())

+
+
+
+

+[docs]
+def register_model(
+    model_name: Union[str, list[str]],
+    tokens_count_func: Callable[[str, list[dict[str, str]]], int],
+) -> None:
+    """Register a tokens counting function for the model(s) with the given
+    name(s). If the model name is conflicting with the existing one, the
+    new function will override the existing one.
+
+    Args:
+        model_name (`Union[str, list[str]]`):
+            The name of the model or a list of model names.
+        tokens_count_func (`Callable[[str, list[dict[str, str]]], int]`):
+            The tokens counting function for the model, which takes the model
+            name and a list of dictionary messages as input and returns the
+            number of tokens.
+    """
+    if isinstance(model_name, str):
+        model_name = [model_name]
+
+    for name in model_name:
+        if name in __register_models:
+            logger.warning(
+                f"Overriding the existing token counting function for model "
+                f"named {name}.",
+            )
+        __register_models[name] = tokens_count_func
+
+    logger.info(
+        f"Successfully registered token counting function for models: "
+        f"{', '.join(model_name)}.",
+    )

+
+
+
+

+[docs]
+def count_huggingface_tokens(
+    pretrained_model_name_or_path: str,
+    messages: list[dict[str, str]],
+    use_fast: bool = False,
+    trust_remote_code: bool = False,
+    enable_mirror: bool = False,
+) -> int:
+    """Count the number of tokens for the given HuggingFace model and messages.
+
+    Args:
+        pretrained_model_name_or_path (`str`):
+            The model name of path used in `AutoTokenizer.from_pretrained`.
+        messages (`list[dict[str, str]]`):
+            The list of messages, each message is a dictionary with keys "role"
+            and "content".
+        use_fast (`bool`, defaults to `False`):
+            Whether to use the fast tokenizer when loading the tokenizer.
+        trust_remote_code (`bool`, defaults to `False`):
+            Whether to trust the remote code in transformers'
+            `AutoTokenizer.from_pretrained` API.
+        enable_mirror (`bool`, defaults to `False`):
+            Whether to enable the HuggingFace mirror, which is useful for
+            users in China.
+
+    Returns:
+        `int`: The number of tokens.
+    """
+    if enable_mirror:
+        os.environ["HF_ENDPOINT"] = "https://hf-mirror.com"
+
+    try:
+        from transformers import AutoTokenizer
+    except ImportError as exc:
+        raise ImportError(
+            "The package `transformers` is required for downloading tokenizer",
+        ) from exc
+
+    tokenizer = AutoTokenizer.from_pretrained(
+        pretrained_model_name_or_path,
+        use_fast=use_fast,
+        trust_remote_code=trust_remote_code,
+    )
+
+    if tokenizer.chat_template is None:
+        raise ValueError(
+            f"The tokenizer for model {pretrained_model_name_or_path} in "
+            f"transformers does not have chat template.",
+        )
+
+    tokenized_msgs = tokenizer.apply_chat_template(
+        messages,
+        add_generation_prompt=False,
+        tokenize=True,
+        return_tensors="np",
+    )[0]
+
+    return len(tokenized_msgs)

+
+

+
+           

+          

+          

+
+  

+
+  

+    
© Copyright 2024, Alibaba Tongyi Lab.

+  

+
+  Built with Sphinx using a
+    theme
+    provided by Read the Docs.
+   
+
+

+        

+      

+    

+  

+   
+
+
+
\ No newline at end of file
diff --git a/en/_modules/index.html b/en/_modules/index.html
index b5492905c..64a35ce44 100644
--- a/en/_modules/index.html
+++ b/en/_modules/index.html
@@ -204,6 +204,7 @@ 
All modules for which code is available

 
  • agentscope.strategy.mixture_of_agent
    • 
 
  • agentscope.studio._app
    • 
 
  • agentscope.studio.utils
    • 
+
  • agentscope.tokens
    • 
 
  • agentscope.utils.common
    • 
 
  • agentscope.utils.token_utils
    • 
 
  • agentscope.web.gradio.studio
    • 
diff --git a/en/_sources/agentscope.rst.txt b/en/_sources/agentscope.rst.txt
index 016d08ba3..69035e7f0 100644
--- a/en/_sources/agentscope.rst.txt
+++ b/en/_sources/agentscope.rst.txt
@@ -36,6 +36,7 @@ Submodules
    agentscope.logging
    agentscope.msghub
    agentscope.serialize
+   agentscope.tokens
 
 Module contents
 ---------------
diff --git a/en/_sources/agentscope.tokens.rst.txt b/en/_sources/agentscope.tokens.rst.txt
new file mode 100644
index 000000000..546609ff1
--- /dev/null
+++ b/en/_sources/agentscope.tokens.rst.txt
@@ -0,0 +1,7 @@
+agentscope.tokens module
+========================
+
+.. automodule:: agentscope.tokens
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/en/agentscope.html b/en/agentscope.html
index 3aeb15a1f..fa7ae2bae 100644
--- a/en/agentscope.html
+++ b/en/agentscope.html
@@ -1291,6 +1291,16 @@ 
    Submodulesis_serializable()
 
 
+
  • agentscope.tokens module
+
    • 
 
 
    
 
diff --git a/en/agentscope.models.dashscope_model.html b/en/agentscope.models.dashscope_model.html
index e3123217c..fb857d17c 100644
--- a/en/agentscope.models.dashscope_model.html
+++ b/en/agentscope.models.dashscope_model.html
@@ -147,7 +147,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.html b/en/agentscope.models.html
index 906053425..e1bb74a9b 100644
--- a/en/agentscope.models.html
+++ b/en/agentscope.models.html
@@ -410,7 +410,7 @@ 
    Submodules
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
@@ -685,7 +685,7 @@ 
    Submodules
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
@@ -1481,7 +1481,7 @@ 
    Submodules
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.litellm_model.html b/en/agentscope.models.litellm_model.html
index 1b4210b0a..89dbbd5b1 100644
--- a/en/agentscope.models.litellm_model.html
+++ b/en/agentscope.models.litellm_model.html
@@ -163,7 +163,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.model.html b/en/agentscope.models.model.html
index 1c5ba7e7e..d77f58ea3 100644
--- a/en/agentscope.models.model.html
+++ b/en/agentscope.models.model.html
@@ -222,7 +222,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.ollama_model.html b/en/agentscope.models.ollama_model.html
index dacc2fb8f..e7f32b100 100644
--- a/en/agentscope.models.ollama_model.html
+++ b/en/agentscope.models.ollama_model.html
@@ -376,7 +376,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.openai_model.html b/en/agentscope.models.openai_model.html
index c429e52c6..e15f80f4c 100644
--- a/en/agentscope.models.openai_model.html
+++ b/en/agentscope.models.openai_model.html
@@ -190,7 +190,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.post_model.html b/en/agentscope.models.post_model.html
index a431bdd90..551e8dd6e 100644
--- a/en/agentscope.models.post_model.html
+++ b/en/agentscope.models.post_model.html
@@ -255,7 +255,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
@@ -276,7 +276,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.models.zhipu_model.html b/en/agentscope.models.zhipu_model.html
index 8bb96d043..453dd5f6f 100644
--- a/en/agentscope.models.zhipu_model.html
+++ b/en/agentscope.models.zhipu_model.html
@@ -153,7 +153,7 @@
 
    
 
    
 format(*args: Msg | Sequence[Msg]) → List[dict] | str[source]
    
-
    Format the input string or dict into the format that the model
+
    Format the input messages into the format that the model
 API required.
    
 
    
 
diff --git a/en/agentscope.serialize.html b/en/agentscope.serialize.html
index 5a289491a..a4b8230b2 100644
--- a/en/agentscope.serialize.html
+++ b/en/agentscope.serialize.html
@@ -21,6 +21,7 @@
     
     
     
+    
      
 
 
@@ -148,6 +149,7 @@
    diff --git a/zh_CN/agentscope.logging.html b/zh_CN/agentscope.logging.html index 9f28fde60..fb054c344 100644 --- a/zh_CN/agentscope.logging.html +++ b/zh_CN/agentscope.logging.html @@ -90,6 +90,7 @@
  • agentscope.msghub module
  • agentscope.serialize module
    • +
  • agentscope.tokens module
  • Module contents
    • diff --git a/zh_CN/agentscope.models.dashscope_model.html b/zh_CN/agentscope.models.dashscope_model.html index 94db8ed2c..abc096e6c 100644 --- a/zh_CN/agentscope.models.dashscope_model.html +++ b/zh_CN/agentscope.models.dashscope_model.html @@ -170,7 +170,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.html b/zh_CN/agentscope.models.html index c01d2467c..8a2d1d058 100644 --- a/zh_CN/agentscope.models.html +++ b/zh_CN/agentscope.models.html @@ -547,7 +547,7 @@

    Submodules
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    @@ -822,7 +822,7 @@

    Submodules
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    @@ -1618,7 +1618,7 @@

    Submodules
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.litellm_model.html b/zh_CN/agentscope.models.litellm_model.html index bf9bd00ba..68a17a6cb 100644 --- a/zh_CN/agentscope.models.litellm_model.html +++ b/zh_CN/agentscope.models.litellm_model.html @@ -183,7 +183,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.model.html b/zh_CN/agentscope.models.model.html index ba7a1416c..d348ea1f8 100644 --- a/zh_CN/agentscope.models.model.html +++ b/zh_CN/agentscope.models.model.html @@ -241,7 +241,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.ollama_model.html b/zh_CN/agentscope.models.ollama_model.html index 0c65a3a05..6941df96a 100644 --- a/zh_CN/agentscope.models.ollama_model.html +++ b/zh_CN/agentscope.models.ollama_model.html @@ -398,7 +398,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.openai_model.html b/zh_CN/agentscope.models.openai_model.html index 022d5d6f7..3e289f72e 100644 --- a/zh_CN/agentscope.models.openai_model.html +++ b/zh_CN/agentscope.models.openai_model.html @@ -212,7 +212,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.post_model.html b/zh_CN/agentscope.models.post_model.html index 8783cea01..0bc3c3803 100644 --- a/zh_CN/agentscope.models.post_model.html +++ b/zh_CN/agentscope.models.post_model.html @@ -277,7 +277,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    @@ -298,7 +298,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.models.zhipu_model.html b/zh_CN/agentscope.models.zhipu_model.html index 033b7b518..095582ac6 100644 --- a/zh_CN/agentscope.models.zhipu_model.html +++ b/zh_CN/agentscope.models.zhipu_model.html @@ -174,7 +174,7 @@
    format(*args: Msg | Sequence[Msg]) → List[dict] | str[源代码]
    -

    Format the input string or dict into the format that the model +

    Format the input messages into the format that the model API required.

    diff --git a/zh_CN/agentscope.msghub.html b/zh_CN/agentscope.msghub.html index 5b0f6105a..71bf8a4ed 100644 --- a/zh_CN/agentscope.msghub.html +++ b/zh_CN/agentscope.msghub.html @@ -88,6 +88,7 @@
  • agentscope.serialize module
    • +
  • agentscope.tokens module
  • Module contents
    • diff --git a/zh_CN/agentscope.serialize.html b/zh_CN/agentscope.serialize.html index efff712b0..f726cd543 100644 --- a/zh_CN/agentscope.serialize.html +++ b/zh_CN/agentscope.serialize.html @@ -22,6 +22,7 @@ + @@ -88,6 +89,7 @@
  • is_serializable()
    • +
  • agentscope.tokens module
  • Module contents
    • @@ -164,6 +166,7 @@
    diff --git a/zh_CN/agentscope.tokens.html b/zh_CN/agentscope.tokens.html new file mode 100644 index 000000000..3ef169a88 --- /dev/null +++ b/zh_CN/agentscope.tokens.html @@ -0,0 +1,299 @@ + + + + + + + + + + agentscope.tokens module — AgentScope 文档 + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    agentscope.tokens module

    +

    The tokens interface for agentscope.

    +
    +
    +agentscope.tokens.count(model_name: str, messages: list[dict[str, str]]) → int[源代码]
    +

    Count the number of tokens for the given model and messages.

    +
    +
    参数:
    +
      +

    • model_name (str) – The name of the model.

      • +

    • messages (list[dict[str, str]]) – A list of dictionaries.

      • +
    +
    +
    +
    + +
    +
    +agentscope.tokens.count_openai_tokens(model_name: str, messages: list[dict[str, str]]) → int[源代码]
    +

    Count the number of tokens for the given OpenAI Chat model and +messages.

    +

    Refer to https://platform.openai.com/docs/advanced-usage/managing-tokens

    +
    +
    参数:
    +
      +

    • model_name (str) – The name of the OpenAI Chat model, e.g. “gpt-4o”.

      • +

    • messages (list[dict[str, str]]) – A list of dictionaries. Each dictionary should have the keys +of “role” and “content”, and an optional key of “name”. For vision +LLMs, the value of “content” should be a list of dictionaries.

      • +
    +
    +
    +
    + +
    +
    +agentscope.tokens.count_gemini_tokens(model_name: str, messages: list[dict[str, str]]) → int[源代码]
    +

    Count the number of tokens for the given Gemini model and messages.

    +
    +
    参数:
    +
      +

    • model_name (str) – The name of the Gemini model, e.g. “gemini-1.5-pro”.

      • +

    • messages (list[dict[str, str]])

      • +
    +
    +
    +
    + +
    +
    +agentscope.tokens.count_dashscope_tokens(model_name: str, messages: list[dict[str, str]], api_key: str | None = None) → int[源代码]
    +

    Count the number of tokens for the given Dashscope model and messages.

    +

    Note this function will call the Dashscope API to count the tokens. +Refer to +https://help.aliyun.com/zh/dashscope/developer-reference/token-api?spm=5176.28197632.console-base_help.dexternal.1c407e06Y2bQVB&disableWebsiteRedirect=true +for more details.

    +
    +
    参数:
    +
      +

    • model_name (str) – The name of the Dashscope model, e.g. “qwen-max”.

      • +

    • messages (list[dict[str, str]]) – The list of messages, each message is a dict with the key ‘text’.

      • +

    • api_key (Optional[str], defaults to None) – The API key for Dashscope. If None, the API key will be read +from the environment variable DASHSCOPE_API_KEY.

      • +
    +
    +
    返回:
    +

    The number of tokens.

    +
    +
    返回类型:
    +

    int

    +
    +
    +
    + +
    +
    +agentscope.tokens.supported_models() → list[str][源代码]
    +

    Get the list of supported models for token counting.

    +
    + +
    +
    +agentscope.tokens.register_model(model_name: str | list[str], tokens_count_func: Callable[[str, list[dict[str, str]]], int]) → None[源代码]
    +

    Register a tokens counting function for the model(s) with the given +name(s). If the model name is conflicting with the existing one, the +new function will override the existing one.

    +
    +
    参数:
    +
      +

    • model_name (Union[str, list[str]]) – The name of the model or a list of model names.

      • +

    • tokens_count_func (Callable[[str, list[dict[str, str]]], int]) – The tokens counting function for the model, which takes the model +name and a list of dictionary messages as input and returns the +number of tokens.

      • +
    +
    +
    +
    + +
    +
    +agentscope.tokens.count_huggingface_tokens(pretrained_model_name_or_path: str, messages: list[dict[str, str]], use_fast: bool = False, trust_remote_code: bool = False, enable_mirror: bool = False) → int[源代码]
    +

    Count the number of tokens for the given HuggingFace model and messages.

    +
    +
    参数:
    +
      +

    • pretrained_model_name_or_path (str) – The model name of path used in AutoTokenizer.from_pretrained.

      • +

    • messages (list[dict[str, str]]) – The list of messages, each message is a dictionary with keys “role” +and “content”.

      • +

    • use_fast (bool, defaults to False) – Whether to use the fast tokenizer when loading the tokenizer.

      • +

    • trust_remote_code (bool, defaults to False) – Whether to trust the remote code in transformers’ +AutoTokenizer.from_pretrained API.

      • +

    • enable_mirror (bool, defaults to False) – Whether to enable the HuggingFace mirror, which is useful for +users in China.

      • +
    +
    +
    返回:
    +

    The number of tokens.

    +
    +
    返回类型:
    +

    int

    +
    +
    +
    + +
    + + +
    +
    + +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/zh_CN/genindex.html b/zh_CN/genindex.html index 33eb28b29..b0b98a495 100644 --- a/zh_CN/genindex.html +++ b/zh_CN/genindex.html @@ -1242,6 +1242,13 @@

    A

    +
  • + agentscope.tokens + +
  • @@ -1511,12 +1518,12 @@

    C

  • config_name（agentscope.models.dashscope_model.DashScopeImageSynthesisWrapper 属性）
    • - - + - + +
  • agentscope.tokens module +
  • Module contents
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    •     agentscope.studio.utils + + +     + agentscope.tokens +     diff --git a/zh_CN/searchindex.js b/zh_CN/searchindex.js index d2cbf6f5c..6377a7876 100644 --- a/zh_CN/searchindex.js +++ b/zh_CN/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"(\u62d3\u5c55) \u67b6\u8bbe\u81ea\u5df1\u7684embedding model\u670d\u52a1": [[131, "embedding-model"]], "Agent": [[119, null]], "AgentScope API \u6587\u6863": [[112, null]], "AgentScope Studio": [[129, null]], "AgentScope \u6587\u6863": [[112, null]], "AgentScope\u4ee3\u7801\u7ed3\u6784": [[114, "id5"]], "AgentScope\u662f\u5982\u4f55\u8bbe\u8ba1\u7684\uff1f": [[114, "id4"]], "AgentServerLauncher": [[128, "agentserverlauncher"]], "AgentServerServicer": [[128, "agentserverservicer"]], "Agents \u5217\u8868": [[129, "agents"]], "Client \u7aef": [[128, "client"]], "DashScope API": [[121, "dashscope-api"]], "DashScopeChatWrapper": [[126, "dashscopechatwrapper"]], "DashScopeMultiModalWrapper": [[126, "dashscopemultimodalwrapper"]], 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