marshoai-melo/marshoai/__plugin__.py

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import traceback
from azure.ai.inference.aio import ChatCompletionsClient
from azure.ai.inference.models import UserMessage, TextContentItem, ImageContentItem, ImageUrl, CompletionsFinishReason
from melobot import Plugin, send_text
from melobot.protocols.onebot.v11 import on_start_match
from melobot.protocols.onebot.v11.adapter.event import MessageEvent
import traceback
from azure.core.credentials import AzureKeyCredential
from .constants import *
from config import *
from .util import *
from .models import MarshoContext
model_name = marshoai_default_model
context = MarshoContext()
token = marshoai_token
endpoint = marshoai_azure_endpoint
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token)
)
@on_start_match(".sayhi")
async def echo_hi() -> None:
await send_text("Hello, melobot!")
@on_start_match("reset")
async def reset(event: MessageEvent):
context.reset(event.user_id, event.is_private)
await send_text("上下文已重置")
@on_start_match("marsho")
async def marsho(event: MessageEvent):
if event.text.lstrip("marsho") == "":
await send_text(INTRODUCTION)
return
# await UniMessage(str(text)).send()
try:
is_support_image_model = model_name.lower() in SUPPORT_IMAGE_MODELS
usermsg = [] if is_support_image_model else ""
user_id = event.sender.user_id
nickname_prompt = ""
marsho_string_removed = False
for i in event.get_segments("image"):
if is_support_image_model:
imgurl = str(i.data["url"])
picmsg = ImageContentItem(
image_url=ImageUrl(url=str(await get_image_b64(imgurl)))
)
usermsg.append(picmsg)
else:
await send_text("*此模型不支持图片处理。")
for i in event.get_segments("text"):
if not marsho_string_removed:
# 去掉最前面的"marsho "字符串
clean_text = i.data["text"].lstrip("marsho ")
marsho_string_removed = True # 标记文本已处理
else:
clean_text = i.data["text"]
if is_support_image_model:
usermsg.append(TextContentItem(text=clean_text+nickname_prompt))
else:
usermsg += str(clean_text+nickname_prompt)
response = await make_chat(
client=client,
model_name=model_name,
msg=context.build(event.user_id, event.is_private)+[UserMessage(content=usermsg)])
choice = response.choices[0]
if choice["finish_reason"] == CompletionsFinishReason.STOPPED: # 当对话成功时将dict的上下文添加到上下文类中
context.append(UserMessage(content=usermsg).as_dict(), event.user_id, event.is_private)
context.append(choice.message.as_dict(), event.user_id, event.is_private)
elif choice["finish_reason"] == CompletionsFinishReason.CONTENT_FILTERED:
await send_text("*已被内容过滤器过滤。请调整聊天内容后重试。")
return
await send_text(str(choice.message.content))
except Exception as e:
await send_text(str(e)+suggest_solution(str(e)))
traceback.print_exc()
return
class MarshoAI(Plugin):
version = "0.1"
flows = [echo_hi,marsho,reset]