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# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== | |
# Licensed under the Apache License, Version 2.0 (the “License”); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an “AS IS” BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== | |
from dataclasses import dataclass | |
from typing import Any, Dict, List, Optional, Tuple, Union | |
from camel.messages import ( | |
OpenAIAssistantMessage, | |
OpenAIChatMessage, | |
OpenAIMessage, | |
OpenAISystemMessage, | |
OpenAIUserMessage, | |
) | |
from camel.prompts import CodePrompt, TextPrompt | |
from camel.typing import ModelType, RoleType | |
class BaseMessage: | |
r"""Base class for message objects used in CAMEL chat system. | |
Args: | |
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, str]]): Additional metadata dictionary | |
for the message. | |
role (str): The role of the message in OpenAI chat system, either | |
:obj:`"system"`, :obj:`"user"`, or :obj:`"assistant"`. | |
content (str): The content of the message. | |
""" | |
role_name: str | |
role_type: RoleType | |
meta_dict: Optional[Dict[str, str]] | |
role: str | |
content: str | |
def __getattribute__(self, name: str) -> Any: | |
r"""Get attribute override to delegate string methods to the | |
:obj:`content`. | |
Args: | |
name (str): The name of the attribute. | |
Returns: | |
Any: The attribute value. | |
""" | |
delegate_methods = [ | |
method for method in dir(str) if not method.startswith('_') | |
] | |
if name in delegate_methods: | |
content = super().__getattribute__('content') | |
if isinstance(content, str): | |
content_method = getattr(content, name, None) | |
if callable(content_method): | |
def modify_arg(arg: Any) -> Any: | |
r"""Modify the argument for delegate method. | |
Args: | |
arg (Any): The argument value. | |
Returns: | |
Any: The modified argument value. | |
""" | |
if isinstance(arg, BaseMessage): | |
return arg.content | |
elif isinstance(arg, (list, tuple)): | |
return type(arg)(modify_arg(item) for item in arg) | |
else: | |
return arg | |
def wrapper(*args: Any, **kwargs: Any) -> Any: | |
r"""Wrapper function for delegate method. | |
Args: | |
*args (Any): Variable length argument list. | |
**kwargs (Any): Arbitrary keyword arguments. | |
Returns: | |
Any: The result of the delegate method. | |
""" | |
modified_args = [modify_arg(arg) for arg in args] | |
modified_kwargs = { | |
k: modify_arg(v) | |
for k, v in kwargs.items() | |
} | |
output = content_method(*modified_args, | |
**modified_kwargs) | |
return self._create_new_instance(output) if isinstance( | |
output, str) else output | |
return wrapper | |
return super().__getattribute__(name) | |
def _create_new_instance(self, content: str) -> "BaseMessage": | |
r"""Create a new instance of the :obj:`BaseMessage` with updated | |
content. | |
Args: | |
content (str): The new content value. | |
Returns: | |
BaseMessage: The new instance of :obj:`BaseMessage`. | |
""" | |
return self.__class__(role_name=self.role_name, | |
role_type=self.role_type, | |
meta_dict=self.meta_dict, role=self.role, | |
content=content) | |
def __add__(self, other: Any) -> Union["BaseMessage", Any]: | |
r"""Addition operator override for :obj:`BaseMessage`. | |
Args: | |
other (Any): The value to be added with. | |
Returns: | |
Union[BaseMessage, Any]: The result of the addition. | |
""" | |
if isinstance(other, BaseMessage): | |
combined_content = self.content.__add__(other.content) | |
elif isinstance(other, str): | |
combined_content = self.content.__add__(other) | |
else: | |
raise TypeError( | |
f"Unsupported operand type(s) for +: '{type(self)}' and " | |
f"'{type(other)}'") | |
return self._create_new_instance(combined_content) | |
def __mul__(self, other: Any) -> Union["BaseMessage", Any]: | |
r"""Multiplication operator override for :obj:`BaseMessage`. | |
Args: | |
other (Any): The value to be multiplied with. | |
Returns: | |
Union[BaseMessage, Any]: The result of the multiplication. | |
""" | |
if isinstance(other, int): | |
multiplied_content = self.content.__mul__(other) | |
return self._create_new_instance(multiplied_content) | |
else: | |
raise TypeError( | |
f"Unsupported operand type(s) for *: '{type(self)}' and " | |
f"'{type(other)}'") | |
def __len__(self) -> int: | |
r"""Length operator override for :obj:`BaseMessage`. | |
Returns: | |
int: The length of the content. | |
""" | |
return len(self.content) | |
def __contains__(self, item: str) -> bool: | |
r"""Contains operator override for :obj:`BaseMessage`. | |
Args: | |
item (str): The item to check for containment. | |
Returns: | |
bool: :obj:`True` if the item is contained in the content, | |
:obj:`False` otherwise. | |
""" | |
return item in self.content | |
def token_len(self, model: ModelType = ModelType.GPT_3_5_TURBO) -> int: | |
r"""Calculate the token length of the message for the specified model. | |
Args: | |
model (ModelType, optional): The model type to calculate the token | |
length. (default: :obj:`ModelType.GPT_3_5_TURBO`) | |
Returns: | |
int: The token length of the message. | |
""" | |
from camel.utils import num_tokens_from_messages | |
return num_tokens_from_messages([self.to_openai_chat_message()], model) | |
def extract_text_and_code_prompts( | |
self) -> Tuple[List[TextPrompt], List[CodePrompt]]: | |
r"""Extract text and code prompts from the message content. | |
Returns: | |
Tuple[List[TextPrompt], List[CodePrompt]]: A tuple containing a | |
list of text prompts and a list of code prompts extracted | |
from the content. | |
""" | |
text_prompts: List[TextPrompt] = [] | |
code_prompts: List[CodePrompt] = [] | |
lines = self.content.split("\n") | |
idx = 0 | |
start_idx = 0 | |
while idx < len(lines): | |
while idx < len(lines) and ( | |
not lines[idx].lstrip().startswith("```")): | |
idx += 1 | |
text = "\n".join(lines[start_idx:idx]).strip() | |
text_prompts.append(TextPrompt(text)) | |
if idx >= len(lines): | |
break | |
code_type = lines[idx].strip()[3:].strip() | |
idx += 1 | |
start_idx = idx | |
while not lines[idx].lstrip().startswith("```"): | |
idx += 1 | |
code = "\n".join(lines[start_idx:idx]).strip() | |
code_prompts.append(CodePrompt(code, code_type=code_type)) | |
idx += 1 | |
start_idx = idx | |
return text_prompts, code_prompts | |
def to_openai_message(self, role: Optional[str] = None) -> OpenAIMessage: | |
r"""Converts the message to an :obj:`OpenAIMessage` object. | |
Args: | |
role (Optional[str]): The role of the message in OpenAI chat | |
system, either :obj:`"system"`, :obj:`"user"`, or | |
obj:`"assistant"`. (default: :obj:`None`) | |
Returns: | |
OpenAIMessage: The converted :obj:`OpenAIMessage` object. | |
""" | |
role = role or self.role | |
if role not in {"system", "user", "assistant"}: | |
raise ValueError(f"Unrecognized role: {role}") | |
return {"role": role, "content": self.content} | |
def to_openai_chat_message( | |
self, | |
role: Optional[str] = None, | |
) -> OpenAIChatMessage: | |
r"""Converts the message to an :obj:`OpenAIChatMessage` object. | |
Args: | |
role (Optional[str]): The role of the message in OpenAI chat | |
system, either :obj:`"user"`, or :obj:`"assistant"`. | |
(default: :obj:`None`) | |
Returns: | |
OpenAIChatMessage: The converted :obj:`OpenAIChatMessage` object. | |
""" | |
role = role or self.role | |
if role not in {"user", "assistant"}: | |
raise ValueError(f"Unrecognized role: {role}") | |
return {"role": role, "content": self.content} | |
def to_openai_system_message(self) -> OpenAISystemMessage: | |
r"""Converts the message to an :obj:`OpenAISystemMessage` object. | |
Returns: | |
OpenAISystemMessage: The converted :obj:`OpenAISystemMessage` | |
object. | |
""" | |
return {"role": "system", "content": self.content} | |
def to_openai_user_message(self) -> OpenAIUserMessage: | |
r"""Converts the message to an :obj:`OpenAIUserMessage` object. | |
Returns: | |
OpenAIUserMessage: The converted :obj:`OpenAIUserMessage` object. | |
""" | |
return {"role": "user", "content": self.content} | |
def to_openai_assistant_message(self) -> OpenAIAssistantMessage: | |
r"""Converts the message to an :obj:`OpenAIAssistantMessage` object. | |
Returns: | |
OpenAIAssistantMessage: The converted :obj:`OpenAIAssistantMessage` | |
object. | |
""" | |
return {"role": "assistant", "content": self.content} | |
def to_dict(self) -> Dict: | |
r"""Converts the message to a dictionary. | |
Returns: | |
dict: The converted dictionary. | |
""" | |
return { | |
"role_name": self.role_name, | |
"role_type": self.role_type.name, | |
**(self.meta_dict or {}), | |
"role": self.role, | |
"content": self.content, | |
} | |