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feat: 增加moonshot api集成

moonshot本来可直接使用openai sdk,
但是要求openai sdk必须在1.0以上,与本项目冲突,
故现使用http接口对接的方式集成
master
weishao zeng pirms 8 mēnešiem
vecāks
revīzija
38e1db7a37
5 mainītis faili ar 203 papildinājumiem un 0 dzēšanām
  1. +4
    -0
      bot/bot_factory.py
  2. +143
    -0
      bot/moonshot/moonshot_bot.py
  3. +51
    -0
      bot/moonshot/moonshot_session.py
  4. +3
    -0
      bridge/bridge.py
  5. +2
    -0
      config.py

+ 4
- 0
bot/bot_factory.py Parādīt failu

@@ -59,5 +59,9 @@ def create_bot(bot_type):
from bot.zhipuai.zhipuai_bot import ZHIPUAIBot
return ZHIPUAIBot()

elif bot_type == const.MOONSHOT:
from bot.moonshot.moonshot_bot import MoonshotBot
return MoonshotBot()


raise RuntimeError

+ 143
- 0
bot/moonshot/moonshot_bot.py Parādīt failu

@@ -0,0 +1,143 @@
# encoding:utf-8

import time

import openai
import openai.error
from bot.bot import Bot
from bot.session_manager import SessionManager
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf, load_config
from .moonshot_session import MoonshotSession
import requests


# ZhipuAI对话模型API
class MoonshotBot(Bot):
def __init__(self):
super().__init__()
self.sessions = SessionManager(MoonshotSession, model=conf().get("model") or "moonshot-v1-128k")
self.args = {
"model": conf().get("model") or "moonshot-v1-128k", # 对话模型的名称
"temperature": conf().get("temperature", 0.3), # 如果设置,值域须为 [0, 1] 我们推荐 0.3,以达到较合适的效果。
"top_p": conf().get("top_p", 1.0), # 使用默认值
}
self.api_key = conf().get("moonshot_api_key")
self.base_url = conf().get("moonshot_base_url", "https://api.moonshot.cn/v1/chat/completions")

def reply(self, query, context=None):
# acquire reply content
if context.type == ContextType.TEXT:
logger.info("[MOONSHOT_AI] query={}".format(query))

session_id = context["session_id"]
reply = None
clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
if query in clear_memory_commands:
self.sessions.clear_session(session_id)
reply = Reply(ReplyType.INFO, "记忆已清除")
elif query == "#清除所有":
self.sessions.clear_all_session()
reply = Reply(ReplyType.INFO, "所有人记忆已清除")
elif query == "#更新配置":
load_config()
reply = Reply(ReplyType.INFO, "配置已更新")
if reply:
return reply
session = self.sessions.session_query(query, session_id)
logger.debug("[MOONSHOT_AI] session query={}".format(session.messages))

model = context.get("moonshot_model")
new_args = self.args.copy()
if model:
new_args["model"] = model
# if context.get('stream'):
# # reply in stream
# return self.reply_text_stream(query, new_query, session_id)

reply_content = self.reply_text(session, args=new_args)
logger.debug(
"[MOONSHOT_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
session.messages,
session_id,
reply_content["content"],
reply_content["completion_tokens"],
)
)
if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
reply = Reply(ReplyType.ERROR, reply_content["content"])
elif reply_content["completion_tokens"] > 0:
self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
reply = Reply(ReplyType.TEXT, reply_content["content"])
else:
reply = Reply(ReplyType.ERROR, reply_content["content"])
logger.debug("[MOONSHOT_AI] reply {} used 0 tokens.".format(reply_content))
return reply
else:
reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
return reply

def reply_text(self, session: MoonshotSession, args=None, retry_count=0) -> dict:
"""
call openai's ChatCompletion to get the answer
:param session: a conversation session
:param session_id: session id
:param retry_count: retry count
:return: {}
"""
try:
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + self.api_key
}
body = args
body["messages"] = session.messages
# logger.debug("[MOONSHOT_AI] response={}".format(response))
# logger.info("[MOONSHOT_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
res = requests.post(
self.base_url,
headers=headers,
json=body
)
if res.status_code == 200:
response = res.json()
return {
"total_tokens": response["usage"]["total_tokens"],
"completion_tokens": response["usage"]["completion_tokens"],
"content": response["choices"][0]["message"]["content"]
}
else:
response = res.json()
error = response.get("error")
logger.error(f"[MOONSHOT_AI] chat failed, status_code={res.status_code}, "
f"msg={error.get('message')}, type={error.get('type')}")

result = {"completion_tokens": 0, "content": "提问太快啦,请休息一下再问我吧"}
need_retry = False
if res.status_code >= 500:
# server error, need retry
logger.warn(f"[MOONSHOT_AI] do retry, times={retry_count}")
need_retry = retry_count < 2
elif res.status_code == 401:
result["content"] = "授权失败,请检查API Key是否正确"
elif res.status_code == 429:
result["content"] = "请求过于频繁,请稍后再试"
need_retry = retry_count < 2
else:
need_retry = False

if need_retry:
time.sleep(3)
return self.reply_text(session, args, retry_count + 1)
else:
return result
except Exception as e:
logger.exception(e)
need_retry = retry_count < 2
result = {"completion_tokens": 0, "content": "我现在有点累了,等会再来吧"}
if need_retry:
return self.reply_text(session, args, retry_count + 1)
else:
return result

+ 51
- 0
bot/moonshot/moonshot_session.py Parādīt failu

@@ -0,0 +1,51 @@
from bot.session_manager import Session
from common.log import logger


class MoonshotSession(Session):
def __init__(self, session_id, system_prompt=None, model="moonshot-v1-128k"):
super().__init__(session_id, system_prompt)
self.model = model
self.reset()

def discard_exceeding(self, max_tokens, cur_tokens=None):
precise = True
try:
cur_tokens = self.calc_tokens()
except Exception as e:
precise = False
if cur_tokens is None:
raise e
logger.debug("Exception when counting tokens precisely for query: {}".format(e))
while cur_tokens > max_tokens:
if len(self.messages) > 2:
self.messages.pop(1)
elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
self.messages.pop(1)
if precise:
cur_tokens = self.calc_tokens()
else:
cur_tokens = cur_tokens - max_tokens
break
elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
break
else:
logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens,
len(self.messages)))
break
if precise:
cur_tokens = self.calc_tokens()
else:
cur_tokens = cur_tokens - max_tokens
return cur_tokens

def calc_tokens(self):
return num_tokens_from_messages(self.messages, self.model)


def num_tokens_from_messages(messages, model):
tokens = 0
for msg in messages:
tokens += len(msg["content"])
return tokens

+ 3
- 0
bridge/bridge.py Parādīt failu

@@ -46,6 +46,9 @@ class Bridge(object):
if model_type in ["claude"]:
self.btype["chat"] = const.CLAUDEAI

if model_type in ["moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"]:
self.btype["chat"] = const.MOONSHOT

self.bots = {}
self.chat_bots = {}
# 模型对应的接口


+ 2
- 0
config.py Parādīt failu

@@ -155,6 +155,8 @@ available_setting = {
# 智谱AI 平台配置
"zhipu_ai_api_key": "",
"zhipu_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
"moonshot_api_key": "",
"moonshot_base_url":"https://api.moonshot.cn/v1/chat/completions",
# LinkAI平台配置
"use_linkai": False,
"linkai_api_key": "",


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