File size: 11,559 Bytes
594c559 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 |
# =========== 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 typing import Dict, Generator, List, Optional, Set, Tuple
from camel.messages import SystemMessage, SystemMessageType
from camel.prompts import PromptTemplateGenerator, TextPrompt
from camel.typing import RoleType, TaskType
class SystemMessageGenerator:
r"""System message generator for agents.
Args:
task_type (TaskType, optional): The task type.
(default: :obj:`TaskType.AI_SOCIETY`)
sys_prompts (Optional[Dict[RoleType, str]], optional): The prompts of
the system messages for each role type. (default: :obj:`None`)
sys_msg_meta_dict_keys (Optional[Set[str]], optional): The set of keys
of the meta dictionary used to fill the prompts.
(default: :obj:`None`)
"""
def __init__(
self,
task_type: TaskType = TaskType.AI_SOCIETY,
sys_prompts: Optional[Dict[RoleType, str]] = None,
sys_msg_meta_dict_keys: Optional[Set[str]] = None,
) -> None:
self.sys_prompts: Dict[RoleType, str]
if sys_prompts is not None:
self.sys_prompts = sys_prompts
self.sys_msg_meta_dict_keys = sys_msg_meta_dict_keys or set()
else:
templates = PromptTemplateGenerator()
agenttech_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV)
counselor_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_COUNSELOR)
ceo_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_CEO)
chro_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_CHRO)
cpo_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_CPO)
cto_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_CTO)
programmer_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_PROGRAMMER)
reviewer_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_REVIEWER)
tester_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_TESTER)
cco_prompt_template = templates.get_system_prompt(task_type, RoleType.CHATDEV_CCO)
self.sys_prompts = dict()
self.sys_prompts[RoleType.CHATDEV] = agenttech_prompt_template
self.sys_prompts[RoleType.CHATDEV_COUNSELOR] = counselor_prompt_template
self.sys_prompts[RoleType.CHATDEV_CEO] = ceo_prompt_template
self.sys_prompts[RoleType.CHATDEV_CHRO] = chro_prompt_template
self.sys_prompts[RoleType.CHATDEV_CPO] = cpo_prompt_template
self.sys_prompts[RoleType.CHATDEV_CTO] = cto_prompt_template
self.sys_prompts[RoleType.CHATDEV_PROGRAMMER] = programmer_prompt_template
self.sys_prompts[RoleType.CHATDEV_REVIEWER] = reviewer_prompt_template
self.sys_prompts[RoleType.CHATDEV_TESTER] = tester_prompt_template
self.sys_prompts[RoleType.CHATDEV_CCO] = cco_prompt_template
self.sys_msg_meta_dict_keys = (agenttech_prompt_template.key_words |
counselor_prompt_template.key_words |
ceo_prompt_template.key_words |
chro_prompt_template.key_words |
cpo_prompt_template.key_words |
cto_prompt_template.key_words |
programmer_prompt_template.key_words |
reviewer_prompt_template.key_words |
tester_prompt_template.key_words |
cco_prompt_template.key_words)
if RoleType.DEFAULT not in self.sys_prompts:
self.sys_prompts[RoleType.DEFAULT] = "You are a helpful assistant."
def validate_meta_dict_keys(self, meta_dict: Dict[str, str]) -> None:
r"""Validates the keys of the meta_dict.
Args:
meta_dict (Dict[str, str]): The dictionary to validate.
"""
if not set(meta_dict.keys()).issubset(self.sys_msg_meta_dict_keys):
raise ValueError("The keys of the meta_dict should be in "
f"{self.sys_msg_meta_dict_keys}. "
f"Got {set(meta_dict.keys())} instead.")
def from_dict(
self,
meta_dict: Dict[str, str],
role_tuple: Tuple[str, RoleType] = ("", RoleType.DEFAULT),
) -> SystemMessageType:
r"""Generates a system message from a dictionary.
Args:
meta_dict (Dict[str, str]): The dictionary containing the
information to generate the system message.
role_tuple (Tuple[str, RoleType], optional): The tuple containing
the role name and role type. (default: ("", RoleType.DEFAULT))
Returns:
SystemMessageType: The generated system message.
"""
self.validate_meta_dict_keys(meta_dict)
role_name, role_type = role_tuple
sys_prompt = self.sys_prompts[role_type]
sys_prompt = sys_prompt.format(**meta_dict)
return SystemMessage(role_name=role_name, role_type=RoleType.DEFAULT,
meta_dict=meta_dict, content=sys_prompt)
def from_dicts(
self,
meta_dicts: List[Dict[str, str]],
role_tuples: Tuple[str, str],
) -> List[SystemMessageType]:
r"""Generates a list of system messages from a list of dictionaries.
Args:
meta_dicts (List[Dict[str, str]]): A list of dictionaries
containing the information to generate the system messages.
role_tuples (List[Tuple[str, RoleType]]): A list of tuples
containing the role name and role type for each system message.
Returns:
List[SystemMessageType]: A list of generated system messages.
Raises:
ValueError: If the number of meta_dicts and role_tuples are
different.
"""
if len(meta_dicts) != len(role_tuples):
raise ValueError(
"The number of meta_dicts and role_types should be the same.")
return [
self.from_dict(meta_dict, role_tuple)
for meta_dict, role_tuple in zip(meta_dicts, role_tuples)
]
class RoleNameGenerator:
def __init__(self, assistant_role_names_path:
str = "data/ai_society/assistant_roles.txt",
user_role_names_path: str = "data/ai_society/user_roles.txt",
assistant_role_names: Optional[List[str]] = None,
user_role_names: Optional[List[str]] = None) -> None:
if assistant_role_names is None:
with open(assistant_role_names_path, "r") as f:
assistant_role_names_: List[str] = f.read().splitlines()
self.assistant_role_names = [
" ".join(name.split(" ")[1:])
for name in assistant_role_names_
]
else:
self.assistant_role_names = assistant_role_names
if user_role_names is None:
with open(user_role_names_path, "r") as f:
user_role_names_: List[str] = f.read().splitlines()
self.user_role_names = [
" ".join(name.split(" ")[1:]) for name in user_role_names_
]
else:
self.user_role_names = user_role_names
def from_role_files(self) -> Generator[Tuple, None, None]:
for assistant_role_name in self.assistant_role_names:
for user_role_name in self.user_role_names:
yield (assistant_role_name, user_role_name)
class AISocietyTaskPromptGenerator:
def __init__(
self,
num_tasks: int = 10,
) -> None:
self.generate_tasks_prompt = PromptTemplateGenerator(
).get_generate_tasks_prompt(TaskType.AI_SOCIETY)
self.num_tasks = num_tasks
# TODO: Return role names for user and assistant with the generator.
def from_role_files(
self,
assistant_role_names_path: str = "data/ai_society/assistant_roles.txt",
user_role_names_path: str = "data/ai_society/user_roles.txt"
) -> Generator[Tuple[str, Tuple[str, str]], None, None]:
roles_generator = RoleNameGenerator(
assistant_role_names_path, user_role_names_path).from_role_files()
for role_1, role_2 in roles_generator:
generate_tasks_prompt = self.generate_tasks_prompt.format(
assistant_role=role_1, user_role=role_2,
num_tasks=self.num_tasks)
yield (generate_tasks_prompt, (role_1, role_2))
def from_role_generator(
self, role_generator: Generator[Tuple, None, None]
) -> Generator[Tuple[str, Tuple[str, str]], None, None]:
for role_1, role_2 in role_generator:
generate_tasks_prompt = self.generate_tasks_prompt.format(
assistant_role=role_1, user_role=role_2,
num_tasks=self.num_tasks)
yield (generate_tasks_prompt, (role_1, role_2))
class SingleTxtGenerator:
def __init__(
self,
text_file_path: str,
) -> None:
with open(text_file_path, "r") as f:
data_list: List[str] = f.read().splitlines()
self.data_list = [
" ".join(name.split(" ")[1:]) for name in data_list
]
def from_role_files(self) -> Generator[str, None, None]:
for data in self.data_list:
yield data
class CodeTaskPromptGenerator:
def __init__(
self,
num_tasks: int = 50,
) -> None:
self.generate_tasks_prompt = PromptTemplateGenerator(
).get_generate_tasks_prompt(TaskType.CODE)
self.num_tasks = num_tasks
def from_role_files(
self, languages_path: str = "data/code/languages.txt",
domains_path: str = "data/code/domains.txt"
) -> Generator[Tuple[TextPrompt, str, str], None, None]:
language_generator = SingleTxtGenerator(
languages_path).from_role_files()
for language in language_generator:
domains_generator = SingleTxtGenerator(
domains_path).from_role_files()
for domain in domains_generator:
generated_tasks_prompt = self.generate_tasks_prompt.format(
language=language, domain=domain, num_tasks=self.num_tasks)
yield generated_tasks_prompt, language, domain
def from_role_generator(
self, role_generator: Generator[Tuple, None, None]
) -> Generator[str, None, None]:
raise NotImplementedError
|