​
BaseMessage

class BaseMessage:

Base class for message objects used in CAMEL chat system.

Parameters:

  • role_name (str): The name of the user or assistant role.
  • role_type (RoleType): The type of role, either :obj:RoleType. ASSISTANT or :obj:RoleType.USER.
  • meta_dict (Optional[Dict[str, Any]]): Additional metadata dictionary for the message.
  • content (str): The content of the message.
  • video_bytes (Optional[bytes]): Optional bytes of a video associated with the message. (default: :obj:None)
  • image_list (Optional[List[Image.Image]]): Optional list of PIL Image objects associated with the message. (default: :obj:None)
  • image_detail (Literal["auto", "low", "high"]): Detail level of the images associated with the message. (default: :obj:auto)
  • video_detail (Literal["auto", "low", "high"]): Detail level of the videos associated with the message. (default: :obj:low)
  • parsed: Optional[Union[Type[BaseModel], dict]]: Optional object which is parsed from the content. (default: :obj:None)

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make_user_message

def make_user_message(
    cls,
    role_name: str,
    content: str,
    meta_dict: Optional[Dict[str, str]] = None,
    video_bytes: Optional[bytes] = None,
    image_list: Optional[List[Image.Image]] = None,
    image_detail: Union[OpenAIVisionDetailType, str] = OpenAIVisionDetailType.AUTO,
    video_detail: Union[OpenAIVisionDetailType, str] = OpenAIVisionDetailType.LOW
):

Create a new user message.

Parameters:

  • role_name (str): The name of the user role.
  • content (str): The content of the message.
  • meta_dict (Optional[Dict[str, str]]): Additional metadata dictionary for the message.
  • video_bytes (Optional[bytes]): Optional bytes of a video associated with the message.
  • image_list (Optional[List[Image.Image]]): Optional list of PIL Image objects associated with the message.
  • image_detail (Union[OpenAIVisionDetailType, str]): Detail level of the images associated with the message.
  • video_detail (Union[OpenAIVisionDetailType, str]): Detail level of the videos associated with the message.

Returns:

BaseMessage: The new user message.

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make_assistant_message

def make_assistant_message(
    cls,
    role_name: str,
    content: str,
    meta_dict: Optional[Dict[str, str]] = None,
    video_bytes: Optional[bytes] = None,
    image_list: Optional[List[Image.Image]] = None,
    image_detail: Union[OpenAIVisionDetailType, str] = OpenAIVisionDetailType.AUTO,
    video_detail: Union[OpenAIVisionDetailType, str] = OpenAIVisionDetailType.LOW
):

Create a new assistant message.

Parameters:

  • role_name (str): The name of the assistant role.
  • content (str): The content of the message.
  • meta_dict (Optional[Dict[str, str]]): Additional metadata dictionary for the message.
  • video_bytes (Optional[bytes]): Optional bytes of a video associated with the message.
  • image_list (Optional[List[Image.Image]]): Optional list of PIL Image objects associated with the message.
  • image_detail (Union[OpenAIVisionDetailType, str]): Detail level of the images associated with the message.
  • video_detail (Union[OpenAIVisionDetailType, str]): Detail level of the videos associated with the message.

Returns:

BaseMessage: The new assistant message.

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create_new_instance

def create_new_instance(self, content: str):

Create a new instance of the :obj:BaseMessage with updated content.

Parameters:

  • content (str): The new content value.

Returns:

BaseMessage: The new instance of :obj:BaseMessage.

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add

def __add__(self, other: Any):

Addition operator override for :obj:BaseMessage.

Parameters:

  • other (Any): The value to be added with.

Returns:

Union[BaseMessage, Any]: The result of the addition.

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mul

def __mul__(self, other: Any):

Multiplication operator override for :obj:BaseMessage.

Parameters:

  • other (Any): The value to be multiplied with.

Returns:

Union[BaseMessage, Any]: The result of the multiplication.

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len

def __len__(self):

Returns:

int: The length of the content.

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contains

def __contains__(self, item: str):

Contains operator override for :obj:BaseMessage.

Parameters:

  • item (str): The item to check for containment.

Returns:

bool: :obj:True if the item is contained in the content, :obj:False otherwise.

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extract_text_and_code_prompts

def extract_text_and_code_prompts(self):

Returns:

Tuple[List[TextPrompt], List[CodePrompt]]: A tuple containing a list of text prompts and a list of code prompts extracted from the content.

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from_sharegpt

def from_sharegpt(
    cls,
    message: ShareGPTMessage,
    function_format: Optional[FunctionCallFormatter[Any, Any]] = None,
    role_mapping = None
):

Convert ShareGPT message to BaseMessage or FunctionCallingMessage. Note tool calls and responses have an ‘assistant’ role in CAMEL

Parameters:

  • message (ShareGPTMessage): ShareGPT message to convert.
  • function_format (FunctionCallFormatter, optional): Function call formatter to use. (default: :obj:HermesFunctionFormatter().
  • role_mapping (Dict[str, List[str, RoleType]], optional): Role mapping to use. Defaults to a CAMEL specific mapping.

Returns:

BaseMessage: Converted message.

​
to_sharegpt

def to_sharegpt(self, function_format: Optional[FunctionCallFormatter] = None):

Convert BaseMessage to ShareGPT message

Parameters:

  • function_format (FunctionCallFormatter): Function call formatter to use. Defaults to Hermes.

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to_openai_message

def to_openai_message(self, role_at_backend: OpenAIBackendRole):

Converts the message to an :obj:OpenAIMessage object.

Parameters:

  • role_at_backend (OpenAIBackendRole): The role of the message in OpenAI chat system.

Returns:

OpenAIMessage: The converted :obj:OpenAIMessage object.

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to_openai_system_message

def to_openai_system_message(self):

Returns:

OpenAISystemMessage: The converted :obj:OpenAISystemMessage object.

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to_openai_user_message

def to_openai_user_message(self):

Returns:

OpenAIUserMessage: The converted :obj:OpenAIUserMessage object.

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to_openai_assistant_message

def to_openai_assistant_message(self):

Returns:

OpenAIAssistantMessage: The converted :obj:OpenAIAssistantMessage object.

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to_dict

def to_dict(self):

Returns:

dict: The converted dictionary.