ChatDev/run.py
2024-05-07 15:34:52 +08:00

141 lines
5.2 KiB
Python

# =========== 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. ===========
import argparse
import logging
import os
import sys
from camel.typing import ModelType
root = os.path.dirname(__file__)
sys.path.append(root)
from chatdev.chat_chain import ChatChain
try:
from openai.types.chat.chat_completion_message_tool_call import ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_message import FunctionCall
openai_new_api = True # new openai api version
except ImportError:
openai_new_api = False # old openai api version
print(
"Warning: Your OpenAI version is outdated. \n "
"Please update as specified in requirement.txt. \n "
"The old API interface is deprecated and will no longer be supported.")
def get_config(company):
"""
return configuration json files for ChatChain
user can customize only parts of configuration json files, other files will be left for default
Args:
company: customized configuration name under CompanyConfig/
Returns:
path to three configuration jsons: [config_path, config_phase_path, config_role_path]
"""
config_dir = os.path.join(root, "CompanyConfig", company)
default_config_dir = os.path.join(root, "CompanyConfig", "Default")
config_files = [
"ChatChainConfig.json",
"PhaseConfig.json",
"RoleConfig.json"
]
config_paths = []
for config_file in config_files:
company_config_path = os.path.join(config_dir, config_file)
default_config_path = os.path.join(default_config_dir, config_file)
if os.path.exists(company_config_path):
config_paths.append(company_config_path)
else:
config_paths.append(default_config_path)
return tuple(config_paths)
parser = argparse.ArgumentParser(description='argparse')
parser.add_argument('--config', type=str, default="Default",
help="Name of config, which is used to load configuration under CompanyConfig/")
parser.add_argument('--org', type=str, default="DefaultOrganization",
help="Name of organization, your software will be generated in WareHouse/name_org_timestamp")
parser.add_argument('--task', type=str, default="Develop a basic Gomoku game.",
help="Prompt of software")
parser.add_argument('--name', type=str, default="Gomoku",
help="Name of software, your software will be generated in WareHouse/name_org_timestamp")
parser.add_argument('--model', type=str, default="GPT_3_5_TURBO",
help="GPT Model, choose from {'GPT_3_5_TURBO', 'GPT_4', 'GPT_4_TURBO'}")
parser.add_argument('--path', type=str, default="",
help="Your file directory, ChatDev will build upon your software in the Incremental mode")
args = parser.parse_args()
# Start ChatDev
# ----------------------------------------
# Init ChatChain
# ----------------------------------------
config_path, config_phase_path, config_role_path = get_config(args.config)
args2type = {'GPT_3_5_TURBO': ModelType.GPT_3_5_TURBO,
'GPT_4': ModelType.GPT_4,
# 'GPT_4_32K': ModelType.GPT_4_32k,
'GPT_4_TURBO': ModelType.GPT_4_TURBO,
# 'GPT_4_TURBO_V': ModelType.GPT_4_TURBO_V
}
if openai_new_api:
args2type['GPT_3_5_TURBO'] = ModelType.GPT_3_5_TURBO_NEW
chat_chain = ChatChain(config_path=config_path,
config_phase_path=config_phase_path,
config_role_path=config_role_path,
task_prompt=args.task,
project_name=args.name,
org_name=args.org,
model_type=args2type[args.model],
code_path=args.path)
# ----------------------------------------
# Init Log
# ----------------------------------------
logging.basicConfig(filename=chat_chain.log_filepath, level=logging.INFO,
format='[%(asctime)s %(levelname)s] %(message)s',
datefmt='%Y-%d-%m %H:%M:%S', encoding="utf-8")
# ----------------------------------------
# Pre Processing
# ----------------------------------------
chat_chain.pre_processing()
# ----------------------------------------
# Personnel Recruitment
# ----------------------------------------
chat_chain.make_recruitment()
# ----------------------------------------
# Chat Chain
# ----------------------------------------
chat_chain.execute_chain()
# ----------------------------------------
# Post Processing
# ----------------------------------------
chat_chain.post_processing()