zhenxun_bot/zhenxun/services/__init__.py
Rumio 07be73c1b7
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feat(avatar): 引入头像缓存服务并优化头像获取 (#2055)
Co-authored-by: webjoin111 <455457521@qq.com>
2025-09-28 08:53:10 +08:00

81 lines
2.0 KiB
Python

"""
Zhenxun Bot - 核心服务模块
主要服务包括:
- 数据库上下文 (db_context): 提供数据库模型基类和连接管理。
- 日志服务 (log): 提供增强的、带上下文的日志记录器。
- LLM服务 (llm): 提供与大语言模型交互的统一API。
- 插件生命周期管理 (plugin_init): 支持插件安装和卸载时的钩子函数。
- 定时任务调度器 (scheduler): 提供持久化的、可管理的定时任务服务。
"""
from nonebot import require
require("nonebot_plugin_apscheduler")
require("nonebot_plugin_alconna")
require("nonebot_plugin_session")
require("nonebot_plugin_htmlrender")
require("nonebot_plugin_uninfo")
require("nonebot_plugin_waiter")
from .avatar_service import avatar_service
from .db_context import Model, disconnect, with_db_timeout
from .llm import (
AI,
AIConfig,
CommonOverrides,
LLMContentPart,
LLMException,
LLMGenerationConfig,
LLMMessage,
chat,
clear_model_cache,
code,
create_multimodal_message,
embed,
generate,
generate_structured,
get_cache_stats,
get_model_instance,
list_available_models,
list_embedding_models,
search,
set_global_default_model_name,
)
from .log import logger
from .plugin_init import PluginInit, PluginInitManager
from .renderer import renderer_service
from .scheduler import scheduler_manager
__all__ = [
"AI",
"AIConfig",
"CommonOverrides",
"LLMContentPart",
"LLMException",
"LLMGenerationConfig",
"LLMMessage",
"Model",
"PluginInit",
"PluginInitManager",
"avatar_service",
"chat",
"clear_model_cache",
"code",
"create_multimodal_message",
"disconnect",
"embed",
"generate",
"generate_structured",
"get_cache_stats",
"get_model_instance",
"list_available_models",
"list_embedding_models",
"logger",
"renderer_service",
"scheduler_manager",
"search",
"set_global_default_model_name",
"with_db_timeout",
]