mirror of
https://github.com/LiteyukiStudio/nonebot-plugin-marshoai.git
synced 2025-06-03 00:35:21 +00:00
parent
c9d2ef7885
commit
5768b95b09
@ -17,10 +17,9 @@ from nonebot.matcher import (
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current_event,
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current_event,
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current_matcher,
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current_matcher,
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)
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)
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from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg
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from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg, get_message_id, get_target
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from openai import AsyncOpenAI, AsyncStream
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from openai import AsyncOpenAI, AsyncStream
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from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
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from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
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from openai.types.chat.chat_completion import Choice
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from .config import config
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from .config import config
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from .constants import SUPPORT_IMAGE_MODELS
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from .constants import SUPPORT_IMAGE_MODELS
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@ -36,6 +35,7 @@ from .util import (
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make_chat_openai,
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make_chat_openai,
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parse_richtext,
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parse_richtext,
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)
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)
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from .utils.request import process_chat_stream
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class MarshoHandler:
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class MarshoHandler:
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@ -50,8 +50,8 @@ class MarshoHandler:
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self.event: Event = current_event.get()
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self.event: Event = current_event.get()
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# self.state: T_State = current_handler.get().state
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# self.state: T_State = current_handler.get().state
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self.matcher: Matcher = current_matcher.get()
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self.matcher: Matcher = current_matcher.get()
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self.message_id: str = UniMessage.get_message_id(self.event)
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self.message_id: str = get_message_id(self.event)
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self.target = UniMessage.get_target(self.event)
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self.target = get_target(self.event)
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async def process_user_input(
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async def process_user_input(
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self, user_input: UniMsg, model_name: str
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self, user_input: UniMsg, model_name: str
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@ -117,10 +117,10 @@ class MarshoHandler:
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async def handle_function_call(
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async def handle_function_call(
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self,
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self,
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completion: Union[ChatCompletion, AsyncStream[ChatCompletionChunk]],
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completion: Union[ChatCompletion],
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user_message: Union[str, list],
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user_message: Union[str, list],
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model_name: str,
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model_name: str,
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tools_list: list,
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tools_list: list | None = None,
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):
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):
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# function call
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# function call
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# 需要获取额外信息,调用函数工具
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# 需要获取额外信息,调用函数工具
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@ -188,7 +188,7 @@ class MarshoHandler:
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self,
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self,
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user_message: Union[str, list],
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user_message: Union[str, list],
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model_name: str,
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model_name: str,
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tools_list: list,
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tools_list: list | None = None,
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stream: bool = False,
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stream: bool = False,
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tool_message: Optional[list] = None,
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tool_message: Optional[list] = None,
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) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]:
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) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]:
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@ -257,9 +257,9 @@ class MarshoHandler:
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self,
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self,
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user_message: Union[str, list],
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user_message: Union[str, list],
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model_name: str,
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model_name: str,
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tools_list: list,
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tools_list: list | None = None,
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tools_message: Optional[list] = None,
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tools_message: Optional[list] = None,
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) -> Union[ChatCompletion, None]:
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) -> ChatCompletion:
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"""
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"""
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处理流式请求
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处理流式请求
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"""
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"""
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@ -272,56 +272,6 @@ class MarshoHandler:
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)
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)
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if isinstance(response, AsyncStream):
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if isinstance(response, AsyncStream):
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reasoning_contents = ""
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return await process_chat_stream(response)
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answer_contents = ""
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else:
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last_chunk = None
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raise TypeError("Unexpected response type for stream request")
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is_first_token_appeared = False
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is_answering = False
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async for chunk in response:
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last_chunk = chunk
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# print(chunk)
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if not is_first_token_appeared:
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logger.debug(f"{chunk.id}: 第一个 token 已出现")
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is_first_token_appeared = True
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if not chunk.choices:
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logger.info("Usage:", chunk.usage)
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else:
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delta = chunk.choices[0].delta
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if (
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hasattr(delta, "reasoning_content")
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and delta.reasoning_content is not None
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):
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reasoning_contents += delta.reasoning_content
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else:
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if not is_answering:
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logger.debug(
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f"{chunk.id}: 思维链已输出完毕或无 reasoning_content 字段输出"
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)
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is_answering = True
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if delta.content is not None:
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answer_contents += delta.content
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# print(last_chunk)
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# 创建新的 ChatCompletion 对象
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if last_chunk and last_chunk.choices:
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message = ChatCompletionMessage(
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content=answer_contents,
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role="assistant",
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tool_calls=last_chunk.choices[0].delta.tool_calls, # type: ignore
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)
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if reasoning_contents != "":
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setattr(message, "reasoning_content", reasoning_contents)
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choice = Choice(
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finish_reason=last_chunk.choices[0].finish_reason, # type: ignore
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index=last_chunk.choices[0].index,
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message=message,
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)
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return ChatCompletion(
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id=last_chunk.id,
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choices=[choice],
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created=last_chunk.created,
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model=last_chunk.model,
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system_fingerprint=last_chunk.system_fingerprint,
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object="chat.completion",
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usage=last_chunk.usage,
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)
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return None
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@ -15,7 +15,14 @@ from nonebot.params import CommandArg
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from nonebot.permission import SUPERUSER
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from nonebot.permission import SUPERUSER
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from nonebot.rule import to_me
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from nonebot.rule import to_me
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from nonebot.typing import T_State
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from nonebot.typing import T_State
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from nonebot_plugin_alconna import MsgTarget, UniMessage, UniMsg, on_alconna
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from nonebot_plugin_alconna import (
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Emoji,
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MsgTarget,
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UniMessage,
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UniMsg,
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message_reaction,
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on_alconna,
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)
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from .config import config
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from .config import config
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from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS
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from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS
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@ -25,6 +32,7 @@ from .instances import client, context, model_name, target_list, tools
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from .metadata import metadata
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from .metadata import metadata
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from .plugin.func_call.caller import get_function_calls
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from .plugin.func_call.caller import get_function_calls
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from .util import *
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from .util import *
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from .utils.request import process_chat_stream
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async def at_enable():
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async def at_enable():
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@ -226,6 +234,7 @@ async def marsho(
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if not text:
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if not text:
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# 发送说明
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# 发送说明
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# await UniMessage(metadata.usage + "\n当前使用的模型:" + model_name).send()
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# await UniMessage(metadata.usage + "\n当前使用的模型:" + model_name).send()
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await message_reaction(Emoji("38"))
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await marsho_cmd.finish(INTRODUCTION)
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await marsho_cmd.finish(INTRODUCTION)
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backup_context = await get_backup_context(target.id, target.private)
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backup_context = await get_backup_context(target.id, target.private)
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if backup_context:
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if backup_context:
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@ -256,6 +265,7 @@ async def marsho(
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map(lambda v: v.data(), get_function_calls().values())
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map(lambda v: v.data(), get_function_calls().values())
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)
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)
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logger.info(f"正在获取回答,模型:{model_name}")
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logger.info(f"正在获取回答,模型:{model_name}")
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await message_reaction(Emoji("66"))
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# logger.info(f"上下文:{context_msg}")
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# logger.info(f"上下文:{context_msg}")
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response = await handler.handle_common_chat(
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response = await handler.handle_common_chat(
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usermsg, model_name, tools_lists, config.marshoai_stream
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usermsg, model_name, tools_lists, config.marshoai_stream
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@ -282,19 +292,23 @@ with contextlib.suppress(ImportError): # 优化先不做()
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async def poke(event: Event):
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async def poke(event: Event):
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user_nickname = await get_nickname_by_user_id(event.get_user_id())
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user_nickname = await get_nickname_by_user_id(event.get_user_id())
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usermsg = await get_prompt(model_name) + [
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UserMessage(content=f"*{user_nickname}{config.marshoai_poke_suffix}"),
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]
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try:
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try:
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if config.marshoai_poke_suffix != "":
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if config.marshoai_poke_suffix != "":
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logger.info(f"收到戳一戳,用户昵称:{user_nickname}")
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logger.info(f"收到戳一戳,用户昵称:{user_nickname}")
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response = await make_chat_openai(
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pre_response = await make_chat_openai(
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client=client,
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client=client,
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model_name=model_name,
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model_name=model_name,
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msg=await get_prompt(model_name)
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msg=usermsg,
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+ [
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stream=config.marshoai_stream,
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UserMessage(
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content=f"*{user_nickname}{config.marshoai_poke_suffix}"
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),
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],
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)
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)
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if isinstance(pre_response, AsyncStream):
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response = await process_chat_stream(pre_response)
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else:
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response = pre_response
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choice = response.choices[0] # type: ignore
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choice = response.choices[0] # type: ignore
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if choice.finish_reason == CompletionsFinishReason.STOPPED:
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if choice.finish_reason == CompletionsFinishReason.STOPPED:
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content = extract_content_and_think(choice.message)[0]
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content = extract_content_and_think(choice.message)[0]
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@ -18,7 +18,7 @@ from nonebot_plugin_alconna import Text as TextMsg
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from nonebot_plugin_alconna import UniMessage
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from nonebot_plugin_alconna import UniMessage
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from openai import AsyncOpenAI, AsyncStream, NotGiven
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from openai import AsyncOpenAI, AsyncStream, NotGiven
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from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
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from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
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from zhDateTime import DateTime
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from zhDateTime import DateTime # type: ignore
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from ._types import DeveloperMessage
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from ._types import DeveloperMessage
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from .cache.decos import *
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from .cache.decos import *
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71
nonebot_plugin_marshoai/utils/request.py
Normal file
71
nonebot_plugin_marshoai/utils/request.py
Normal file
@ -0,0 +1,71 @@
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from nonebot.log import logger
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from openai import AsyncStream
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from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
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from openai.types.chat.chat_completion import Choice
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async def process_chat_stream(
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stream: AsyncStream[ChatCompletionChunk],
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) -> ChatCompletion:
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reasoning_contents = ""
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answer_contents = ""
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last_chunk = None
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is_first_token_appeared = False
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is_answering = False
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async for chunk in stream:
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last_chunk = chunk
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# print(chunk)
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if not is_first_token_appeared:
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logger.debug(f"{chunk.id}: 第一个 token 已出现")
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is_first_token_appeared = True
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if not chunk.choices:
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logger.info("Usage:", chunk.usage)
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else:
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delta = chunk.choices[0].delta
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if (
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hasattr(delta, "reasoning_content")
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and delta.reasoning_content is not None
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):
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reasoning_contents += delta.reasoning_content
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else:
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if not is_answering:
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logger.debug(
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f"{chunk.id}: 思维链已输出完毕或无 reasoning_content 字段输出"
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)
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is_answering = True
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if delta.content is not None:
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answer_contents += delta.content
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# print(last_chunk)
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# 创建新的 ChatCompletion 对象
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if last_chunk and last_chunk.choices:
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message = ChatCompletionMessage(
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content=answer_contents,
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role="assistant",
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tool_calls=last_chunk.choices[0].delta.tool_calls, # type: ignore
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)
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if reasoning_contents != "":
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setattr(message, "reasoning_content", reasoning_contents)
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choice = Choice(
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finish_reason=last_chunk.choices[0].finish_reason, # type: ignore
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index=last_chunk.choices[0].index,
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message=message,
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)
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return ChatCompletion(
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id=last_chunk.id,
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choices=[choice],
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created=last_chunk.created,
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model=last_chunk.model,
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system_fingerprint=last_chunk.system_fingerprint,
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object="chat.completion",
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usage=last_chunk.usage,
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)
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else:
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return ChatCompletion(
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id="",
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choices=[],
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created=0,
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model="",
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system_fingerprint="",
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object="chat.completion",
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usage=None,
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)
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8
pdm.lock
generated
8
pdm.lock
generated
@ -5,7 +5,7 @@
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groups = ["default", "dev", "test"]
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groups = ["default", "dev", "test"]
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strategy = ["inherit_metadata"]
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strategy = ["inherit_metadata"]
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lock_version = "4.5.0"
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lock_version = "4.5.0"
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content_hash = "sha256:d7ab3d9ca825de512d4f87ec846f7fddcf3d5796a7c9562e60c8c7d39c058817"
|
content_hash = "sha256:9dd3edfe69c332deac360af2685358e82c5dac0870900668534fc6f1d34040f8"
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|
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[[metadata.targets]]
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[[metadata.targets]]
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requires_python = "~=3.10"
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requires_python = "~=3.10"
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@ -1485,7 +1485,7 @@ files = [
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|
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[[package]]
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[[package]]
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name = "nonebot-plugin-alconna"
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name = "nonebot-plugin-alconna"
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version = "0.54.1"
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version = "0.57.0"
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requires_python = ">=3.9"
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requires_python = ">=3.9"
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summary = "Alconna Adapter for Nonebot"
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summary = "Alconna Adapter for Nonebot"
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groups = ["default"]
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groups = ["default"]
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@ -1499,8 +1499,8 @@ dependencies = [
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"tarina<0.7,>=0.6.8",
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"tarina<0.7,>=0.6.8",
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]
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]
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files = [
|
files = [
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{file = "nonebot_plugin_alconna-0.54.1-py3-none-any.whl", hash = "sha256:4edb4b081cd64ce37717c7a92d31aadd2cf287a5a0adc2ac86ed82d9bcad5048"},
|
{file = "nonebot_plugin_alconna-0.57.0-py3-none-any.whl", hash = "sha256:6c4bcce1a9aa176244b4c011b19b1cea00269c4c6794cd4e90d8dd7990ec3ec9"},
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{file = "nonebot_plugin_alconna-0.54.1.tar.gz", hash = "sha256:66fae03120b8eff25bb0027d65f149e399aa6f73c7585ebdd388d1904cecdeee"},
|
{file = "nonebot_plugin_alconna-0.57.0.tar.gz", hash = "sha256:7a9a4bf373f3f6836611dbde1a0917b84441a534dd6f2b20dae3ba6fff142858"},
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]
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]
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|
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[[package]]
|
[[package]]
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@ -10,7 +10,7 @@ authors = [
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]
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]
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dependencies = [
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dependencies = [
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"nonebot2>=2.4.0",
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"nonebot2>=2.4.0",
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"nonebot-plugin-alconna>=0.48.0",
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"nonebot-plugin-alconna>=0.57.0",
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"nonebot-plugin-localstore>=0.7.1",
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"nonebot-plugin-localstore>=0.7.1",
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"zhDatetime>=2.0.0",
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"zhDatetime>=2.0.0",
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"aiohttp>=3.9",
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"aiohttp>=3.9",
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