A chat client
Project description
openai-kira
Openai GPT3 ChatBot 框架包,在未公开前快速实现类 ChatGPT接入(公开后就接入chatGPT),打包成依赖的玩具。提供 redis 和 文件数据库 两个选择。
Use
pip install -U openai-kira
init
import openai_kira
#
openai_kira.setting.redisSetting = openai_kira.setting.RedisConfig()
openai_kira.setting.dbFile = "openai_msg.db"
openai_kira.setting.openaiApiKey = ["key", "key2"]
openai_kira.setting.proxyUrl = None # "127.0.0.1"
# 插件的设置
openai_kira.setting.webServerUrlFilter = False
openai_kira.setting.webServerStopSentence = ["广告", "营销号"]
Exp
SEE ./test
for More Exp!
import asyncio
import openai_kira
from openai_kira import Chat
print(openai_kira.RedisConfig())
openai_kira.setting.openaiApiKey = ["key"]
receiver = Chat.Chatbot(
conversation_id=10086,
call_func=None, # Api_keys.pop_api_key,
start_sequ="Ai:",
restart_sequ="Human:",
)
async def main():
response = await receiver.get_chat_response(model="text-davinci-003",
prompt="你好",
max_tokens=500,
role="你扮演...",
web_enhance_server={"time": ""}
)
print(response)
asyncio.run(main())
import asyncio
import openai_kira
print(openai_kira.RedisConfig())
openai_kira.setting.openaiApiKey = ["key"]
print(openai_kira.setting.openaiApiKey)
async def main():
try:
response = await openai_kira.Completion().create(model="text-davinci-003",
prompt="Say this is a test",
temperature=0,
max_tokens=20)
# TEST
print(response)
print(type(response))
except Exception as e:
print(e)
if "Incorrect API key provided" in e:
print("OK")
else:
print("NO")
asyncio.run(main())
Plugin
Table
plugins | desc | value/server | use |
---|---|---|---|
time |
now time | "" ,no need |
明昨今天 .... |
week |
week time | "" ,no need |
周几 ..... |
search |
Web Search | ["some.com?searchword={}"] ,must need |
查询 你知道 len<80 / end with? len<15 |
duckgo |
Web Search | "" ,no need,but need pip install duckduckgo_search |
查询 你知道 len<80 / end with? len<15 |
details |
answer with steps | "" ,no need |
Ask for help how to |
Plugin dev
There is a middleware between the memory pool and the analytics that provides some networked retrieval support and operational support. It can be spiked with services that interface to other Api's.
Prompt Injection
Use ""
[]
to emphasise content.
Exp
First create a file in openai_kira/Chat/module/plugin
without underscores (_
) in the file name.
Template
from ..platform import ChatPlugin, PluginConfig
from ._plugin_tool import PromptTool
import os
from loguru import logger
modulename = os.path.basename(__file__).strip(".py")
@ChatPlugin.plugin_register(modulename)
class Week(object):
def __init__(self):
self._server = None
self._text = None
self._time = ["time", "多少天", "几天", "时间", "几点", "今天", "昨天", "明天", "几月", "几月", "几号",
"几个月",
"天前"]
def requirements(self):
return []
async def check(self, params: PluginConfig) -> bool:
if PromptTool.isStrIn(prompt=params.text, keywords=self._time):
return True
return False
async def process(self, params: PluginConfig) -> list:
_return = []
self._text = params.text
# 校验
if not all([self._text]):
return []
# GET
from datetime import datetime, timedelta, timezone
utc_dt = datetime.utcnow().replace(tzinfo=timezone.utc)
bj_dt = utc_dt.astimezone(timezone(timedelta(hours=8)))
now = bj_dt.strftime("%Y-%m-%d %H:%M")
_return.append(f"Current Time UTC8 {now}")
# LOGGER
logger.trace(_return)
return _return
openai_kira/Chat/module/plugin/_plugin_tool.py
provides some tool classes, PR is welcome
Testing
You cannot test directly from within the module package, please run the openai_kira/Chat/test_module.py
file to test
the module, with the prompt matching check.
Alternatively, you can safely use from loguru import logger
+ logger.trace(_return)
in the module to debug the
module variables and the trace level logs will not be output by the production environment.
结构
.
└── openai_kira
├── api
│ ├── api_url.json
│ ├── api_utils.py
│ ├── network.py
├── Chat
│ ├── __init__.py
│ ├── module
│ ├── Summer.py
│ ├── test_module.py
│ ├── text_analysis_tools
│ └── vocab.json
├── __init__.py
├── requirements.txt
├── resouce
│ ├── completion.py
│ ├── __init__.py
└── utils
├── data.py
├── Network.py
└── Talk.py
EULA(end-user-license-agreement)
cn
- 自行因为不当操作导致的损失。
- 本项目并非官方项目。
- 因为安全事故导致的损失我不负责。
- 拒绝未经授权的专利/软著相关用途。
en
- the damage caused by improper operation on its own.
- This is not an official project.
- I am not responsible for any damage caused by safety incidents.
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