mirror of
https://github.com/AstrBotDevs/AstrBot
synced 2026-07-16 01:40:15 +08:00
438 lines
19 KiB
Python
438 lines
19 KiB
Python
import asyncio
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import traceback
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from typing import List
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from astrbot.core import logger, sp
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from astrbot.core.config.astrbot_config import AstrBotConfig
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from astrbot.core.db import BaseDatabase
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from .entities import ProviderType
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from .provider import Personality, Provider, STTProvider, TTSProvider
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from .register import llm_tools, provider_cls_map
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class ProviderManager:
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def __init__(self, config: AstrBotConfig, db_helper: BaseDatabase):
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self.providers_config: List = config["provider"]
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self.provider_settings: dict = config["provider_settings"]
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self.provider_stt_settings: dict = config.get("provider_stt_settings", {})
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self.provider_tts_settings: dict = config.get("provider_tts_settings", {})
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self.persona_configs: list = config.get("persona", [])
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self.astrbot_config = config
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# 人格情景管理
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# 目前没有拆成独立的模块
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self.default_persona_name = self.provider_settings.get(
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"default_personality", "default"
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)
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self.personas: List[Personality] = []
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self.selected_default_persona = None
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for persona in self.persona_configs:
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begin_dialogs = persona.get("begin_dialogs", [])
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mood_imitation_dialogs = persona.get("mood_imitation_dialogs", [])
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bd_processed = []
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mid_processed = ""
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if begin_dialogs:
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if len(begin_dialogs) % 2 != 0:
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logger.error(
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f"{persona['name']} 人格情景预设对话格式不对，条数应该为偶数。"
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)
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begin_dialogs = []
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user_turn = True
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for dialog in begin_dialogs:
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bd_processed.append(
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{
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"role": "user" if user_turn else "assistant",
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"content": dialog,
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"_no_save": None, # 不持久化到 db
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}
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)
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user_turn = not user_turn
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if mood_imitation_dialogs:
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if len(mood_imitation_dialogs) % 2 != 0:
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logger.error(
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f"{persona['name']} 对话风格对话格式不对，条数应该为偶数。"
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)
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mood_imitation_dialogs = []
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user_turn = True
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for dialog in mood_imitation_dialogs:
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role = "A" if user_turn else "B"
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mid_processed += f"{role}: {dialog}\n"
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if not user_turn:
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mid_processed += "\n"
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user_turn = not user_turn
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try:
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persona = Personality(
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**persona,
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_begin_dialogs_processed=bd_processed,
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_mood_imitation_dialogs_processed=mid_processed,
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)
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if persona["name"] == self.default_persona_name:
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self.selected_default_persona = persona
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self.personas.append(persona)
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except Exception as e:
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logger.error(f"解析 Persona 配置失败：{e}")
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if not self.selected_default_persona and len(self.personas) > 0:
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# 默认选择第一个
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self.selected_default_persona = self.personas[0]
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if not self.selected_default_persona:
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self.selected_default_persona = Personality(
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prompt="You are a helpful and friendly assistant.",
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name="default",
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_begin_dialogs_processed=[],
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_mood_imitation_dialogs_processed="",
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)
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self.personas.append(self.selected_default_persona)
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self.provider_insts: List[Provider] = []
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"""加载的 Provider 的实例"""
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self.stt_provider_insts: List[STTProvider] = []
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"""加载的 Speech To Text Provider 的实例"""
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self.tts_provider_insts: List[TTSProvider] = []
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"""加载的 Text To Speech Provider 的实例"""
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self.embedding_provider_insts: List[Provider] = []
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"""加载的 Embedding Provider 的实例"""
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self.inst_map: dict[str, Provider] = {}
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"""Provider 实例映射. key: provider_id, value: Provider 实例"""
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self.llm_tools = llm_tools
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self.curr_provider_inst: Provider | None = None
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"""默认的 Provider 实例"""
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self.curr_stt_provider_inst: STTProvider | None = None
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"""默认的 Speech To Text Provider 实例"""
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self.curr_tts_provider_inst: TTSProvider | None = None
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"""默认的 Text To Speech Provider 实例"""
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self.db_helper = db_helper
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# kdb(experimental)
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self.curr_kdb_name = ""
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kdb_cfg = config.get("knowledge_db", {})
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if kdb_cfg and len(kdb_cfg):
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self.curr_kdb_name = list(kdb_cfg.keys())[0]
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async def set_provider(
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self, provider_id: str, provider_type: ProviderType, umo: str = None
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):
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"""设置提供商。
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Args:
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provider_id (str): 提供商 ID。
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provider_type (ProviderType): 提供商类型。
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umo (str, optional): 用户会话 ID，用于提供商会话隔离。当用户启用了提供商会话隔离时此参数才生效。
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"""
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if provider_id not in self.inst_map:
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raise ValueError(f"提供商 {provider_id} 不存在，无法设置。")
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if umo and self.provider_settings["separate_provider"]:
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perf = sp.get("session_provider_perf", {})
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session_perf = perf.get(umo, {})
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session_perf[provider_type.value] = provider_id
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perf[umo] = session_perf
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sp.put("session_provider_perf", perf)
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return
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# 不启用提供商会话隔离模式的情况
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self.curr_provider_inst = self.inst_map[provider_id]
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if provider_type == ProviderType.TEXT_TO_SPEECH:
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sp.put("curr_provider_tts", provider_id)
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elif provider_type == ProviderType.SPEECH_TO_TEXT:
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sp.put("curr_provider_stt", provider_id)
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elif provider_type == ProviderType.CHAT_COMPLETION:
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sp.put("curr_provider", provider_id)
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async def initialize(self):
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# 逐个初始化提供商
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for provider_config in self.providers_config:
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await self.load_provider(provider_config)
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# 设置默认提供商
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selected_provider_id = sp.get(
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"curr_provider", self.provider_settings.get("default_provider_id")
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)
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selected_stt_provider_id = sp.get(
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"curr_provider_stt", self.provider_stt_settings.get("provider_id")
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)
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selected_tts_provider_id = sp.get(
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"curr_provider_tts", self.provider_tts_settings.get("provider_id")
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)
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self.curr_provider_inst = self.inst_map.get(selected_provider_id)
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if not self.curr_provider_inst and self.provider_insts:
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self.curr_provider_inst = self.provider_insts[0]
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self.curr_stt_provider_inst = self.inst_map.get(selected_stt_provider_id)
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if not self.curr_stt_provider_inst and self.stt_provider_insts:
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self.curr_stt_provider_inst = self.stt_provider_insts[0]
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self.curr_tts_provider_inst = self.inst_map.get(selected_tts_provider_id)
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if not self.curr_tts_provider_inst and self.tts_provider_insts:
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self.curr_tts_provider_inst = self.tts_provider_insts[0]
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# 初始化 MCP Client 连接
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asyncio.create_task(
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self.llm_tools.mcp_service_selector(), name="mcp-service-handler"
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)
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self.llm_tools.mcp_service_queue.put_nowait({"type": "init"})
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async def load_provider(self, provider_config: dict):
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if not provider_config["enable"]:
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return
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logger.info(
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f"载入 {provider_config['type']}({provider_config['id']}) 服务提供商 ..."
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)
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# 动态导入
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try:
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match provider_config["type"]:
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case "openai_chat_completion":
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from .sources.openai_source import (
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ProviderOpenAIOfficial as ProviderOpenAIOfficial,
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)
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case "zhipu_chat_completion":
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from .sources.zhipu_source import ProviderZhipu as ProviderZhipu
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case "anthropic_chat_completion":
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from .sources.anthropic_source import (
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ProviderAnthropic as ProviderAnthropic,
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)
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case "dify":
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from .sources.dify_source import ProviderDify as ProviderDify
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case "dashscope":
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from .sources.dashscope_source import (
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ProviderDashscope as ProviderDashscope,
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)
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case "googlegenai_chat_completion":
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from .sources.gemini_source import (
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ProviderGoogleGenAI as ProviderGoogleGenAI,
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)
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case "sensevoice_stt_selfhost":
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from .sources.sensevoice_selfhosted_source import (
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ProviderSenseVoiceSTTSelfHost as ProviderSenseVoiceSTTSelfHost,
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)
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case "openai_whisper_api":
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from .sources.whisper_api_source import (
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ProviderOpenAIWhisperAPI as ProviderOpenAIWhisperAPI,
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)
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case "openai_whisper_selfhost":
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from .sources.whisper_selfhosted_source import (
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ProviderOpenAIWhisperSelfHost as ProviderOpenAIWhisperSelfHost,
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)
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case "openai_tts_api":
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from .sources.openai_tts_api_source import (
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ProviderOpenAITTSAPI as ProviderOpenAITTSAPI,
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)
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case "edge_tts":
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from .sources.edge_tts_source import (
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ProviderEdgeTTS as ProviderEdgeTTS,
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)
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case "gsv_tts_selfhost":
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from .sources.gsv_selfhosted_source import (
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ProviderGSVTTS as ProviderGSVTTS,
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)
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case "gsvi_tts_api":
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from .sources.gsvi_tts_source import (
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ProviderGSVITTS as ProviderGSVITTS,
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)
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case "fishaudio_tts_api":
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from .sources.fishaudio_tts_api_source import (
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ProviderFishAudioTTSAPI as ProviderFishAudioTTSAPI,
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)
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case "dashscope_tts":
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from .sources.dashscope_tts import (
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ProviderDashscopeTTSAPI as ProviderDashscopeTTSAPI,
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)
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case "azure_tts":
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from .sources.azure_tts_source import (
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AzureTTSProvider as AzureTTSProvider,
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)
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case "minimax_tts_api":
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from .sources.minimax_tts_api_source import (
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ProviderMiniMaxTTSAPI as ProviderMiniMaxTTSAPI,
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)
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case "volcengine_tts":
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from .sources.volcengine_tts import (
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ProviderVolcengineTTS as ProviderVolcengineTTS,
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)
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case "gemini_tts":
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from .sources.gemini_tts_source import (
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ProviderGeminiTTSAPI as ProviderGeminiTTSAPI,
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)
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case "openai_embedding":
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from .sources.openai_embedding_source import (
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OpenAIEmbeddingProvider as OpenAIEmbeddingProvider,
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)
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case "gemini_embedding":
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from .sources.gemini_embedding_source import (
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GeminiEmbeddingProvider as GeminiEmbeddingProvider,
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)
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except (ImportError, ModuleNotFoundError) as e:
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logger.critical(
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f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。可能是因为有未安装的依赖。"
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)
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return
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except Exception as e:
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logger.critical(
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f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。未知原因"
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)
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return
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if provider_config["type"] not in provider_cls_map:
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logger.error(
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f"未找到适用于 {provider_config['type']}({provider_config['id']}) 的提供商适配器，请检查是否已经安装或者名称填写错误。已跳过。"
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)
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return
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provider_metadata = provider_cls_map[provider_config["type"]]
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try:
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# 按任务实例化提供商
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if provider_metadata.provider_type == ProviderType.SPEECH_TO_TEXT:
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# STT 任务
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inst = provider_metadata.cls_type(
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provider_config, self.provider_settings
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)
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if getattr(inst, "initialize", None):
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await inst.initialize()
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self.stt_provider_insts.append(inst)
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if (
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self.provider_stt_settings.get("provider_id")
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== provider_config["id"]
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):
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self.curr_stt_provider_inst = inst
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logger.info(
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f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前语音转文本提供商适配器。"
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)
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if not self.curr_stt_provider_inst:
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self.curr_stt_provider_inst = inst
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elif provider_metadata.provider_type == ProviderType.TEXT_TO_SPEECH:
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# TTS 任务
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inst = provider_metadata.cls_type(
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provider_config, self.provider_settings
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)
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if getattr(inst, "initialize", None):
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await inst.initialize()
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self.tts_provider_insts.append(inst)
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if self.provider_settings.get("provider_id") == provider_config["id"]:
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self.curr_tts_provider_inst = inst
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logger.info(
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f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前文本转语音提供商适配器。"
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)
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if not self.curr_tts_provider_inst:
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self.curr_tts_provider_inst = inst
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elif provider_metadata.provider_type == ProviderType.CHAT_COMPLETION:
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# 文本生成任务
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inst = provider_metadata.cls_type(
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provider_config,
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self.provider_settings,
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self.selected_default_persona,
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)
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if getattr(inst, "initialize", None):
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await inst.initialize()
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self.provider_insts.append(inst)
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if (
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self.provider_settings.get("default_provider_id")
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== provider_config["id"]
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):
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self.curr_provider_inst = inst
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logger.info(
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f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前提供商适配器。"
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)
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if not self.curr_provider_inst:
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self.curr_provider_inst = inst
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elif provider_metadata.provider_type == ProviderType.EMBEDDING:
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inst = provider_metadata.cls_type(
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provider_config, self.provider_settings
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)
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if getattr(inst, "initialize", None):
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await inst.initialize()
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self.embedding_provider_insts.append(inst)
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self.inst_map[provider_config["id"]] = inst
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except Exception as e:
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logger.error(traceback.format_exc())
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logger.error(
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f"实例化 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}"
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)
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async def reload(self, provider_config: dict):
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await self.terminate_provider(provider_config["id"])
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if provider_config["enable"]:
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await self.load_provider(provider_config)
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# 和配置文件保持同步
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config_ids = [provider["id"] for provider in self.providers_config]
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for key in list(self.inst_map.keys()):
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if key not in config_ids:
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await self.terminate_provider(key)
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if len(self.provider_insts) == 0:
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self.curr_provider_inst = None
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elif self.curr_provider_inst is None and len(self.provider_insts) > 0:
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self.curr_provider_inst = self.provider_insts[0]
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logger.info(
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f"自动选择 {self.curr_provider_inst.meta().id} 作为当前提供商适配器。"
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)
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if len(self.stt_provider_insts) == 0:
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self.curr_stt_provider_inst = None
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elif self.curr_stt_provider_inst is None and len(self.stt_provider_insts) > 0:
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self.curr_stt_provider_inst = self.stt_provider_insts[0]
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logger.info(
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f"自动选择 {self.curr_stt_provider_inst.meta().id} 作为当前语音转文本提供商适配器。"
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)
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if len(self.tts_provider_insts) == 0:
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self.curr_tts_provider_inst = None
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elif self.curr_tts_provider_inst is None and len(self.tts_provider_insts) > 0:
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self.curr_tts_provider_inst = self.tts_provider_insts[0]
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logger.info(
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f"自动选择 {self.curr_tts_provider_inst.meta().id} 作为当前文本转语音提供商适配器。"
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)
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def get_insts(self):
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return self.provider_insts
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async def terminate_provider(self, provider_id: str):
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if provider_id in self.inst_map:
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logger.info(
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f"终止 {provider_id} 提供商适配器({len(self.provider_insts)}, {len(self.stt_provider_insts)}, {len(self.tts_provider_insts)}) ..."
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)
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if self.inst_map[provider_id] in self.provider_insts:
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self.provider_insts.remove(self.inst_map[provider_id])
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if self.inst_map[provider_id] in self.stt_provider_insts:
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self.stt_provider_insts.remove(self.inst_map[provider_id])
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if self.inst_map[provider_id] in self.tts_provider_insts:
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self.tts_provider_insts.remove(self.inst_map[provider_id])
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if self.inst_map[provider_id] == self.curr_provider_inst:
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self.curr_provider_inst = None
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if self.inst_map[provider_id] == self.curr_stt_provider_inst:
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self.curr_stt_provider_inst = None
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if self.inst_map[provider_id] == self.curr_tts_provider_inst:
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self.curr_tts_provider_inst = None
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if getattr(self.inst_map[provider_id], "terminate", None):
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await self.inst_map[provider_id].terminate() # type: ignore
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logger.info(
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f"{provider_id} 提供商适配器已终止({len(self.provider_insts)}, {len(self.stt_provider_insts)}, {len(self.tts_provider_insts)})"
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)
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del self.inst_map[provider_id]
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async def terminate(self):
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for provider_inst in self.provider_insts:
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if hasattr(provider_inst, "terminate"):
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await provider_inst.terminate() # type: ignore
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# 清理 MCP Client 连接
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await self.llm_tools.mcp_service_queue.put({"type": "terminate"})
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