chore: bump version to 4.3.3

* fix: 修复空key导致的无法创建Provider对象的问题

* style: format code

* Update astrbot/core/provider/provider.py

Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>

---------

Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
Co-authored-by: Soulter <905617992@qq.com>

astrbot/core/config/default.py

@@ -6,7 +6,7 @@ import os
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.3.2"
+VERSION = "4.3.3"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 # 默认配置
@@ -1056,6 +1056,7 @@ CONFIG_METADATA_2 = {
                         "timeout": "20",
                     },
                     "阿里云百炼 TTS(API)": {
+                        "hint": "API Key 从 https://bailian.console.aliyun.com/?tab=model#/api-key 获取。模型和音色的选择文档请参考: 阿里云百炼语音合成音色名称。具体可参考 https://help.aliyun.com/zh/model-studio/speech-synthesis-and-speech-recognition",
                         "id": "dashscope_tts",
                         "provider": "dashscope",
                         "type": "dashscope_tts",
@@ -1435,11 +1436,7 @@ CONFIG_METADATA_2 = {
                         "description": "服务订阅密钥",
                         "hint": "Azure_TTS 服务的订阅密钥（注意不是令牌）",
                     },
-                    "dashscope_tts_voice": {
-                        "description": "语音合成模型",
-                        "type": "string",
-                        "hint": "阿里云百炼语音合成模型名称。具体可参考 https://help.aliyun.com/zh/model-studio/developer-reference/cosyvoice-python-api 等内容",
-                    },
+                    "dashscope_tts_voice": {"description": "音色", "type": "string"},
                     "gm_resp_image_modal": {
                         "description": "启用图片模态",
                         "type": "bool",

astrbot/core/provider/provider.py

@@ -68,7 +68,8 @@ class Provider(AbstractProvider):
 
     def get_keys(self) -> List[str]:
         """获得提供商 Key"""
-        return self.provider_config.get("key", [])
+        keys = self.provider_config.get("key", [""])
+        return keys or [""]
 
     @abc.abstractmethod
     def set_key(self, key: str):

astrbot/core/provider/sources/anthropic_source.py

@@ -33,7 +33,7 @@ class ProviderAnthropic(Provider):
         )
 
         self.chosen_api_key: str = ""
-        self.api_keys: List = provider_config.get("key", [])
+        self.api_keys: List = super().get_keys()
         self.chosen_api_key = self.api_keys[0] if len(self.api_keys) > 0 else ""
         self.base_url = provider_config.get("api_base", "https://api.anthropic.com")
         self.timeout = provider_config.get("timeout", 120)
@@ -70,9 +70,13 @@ class ProviderAnthropic(Provider):
                             {
                                 "type": "tool_use",
                                 "name": tool_call["function"]["name"],
-                                "input": json.loads(tool_call["function"]["arguments"])
-                                if isinstance(tool_call["function"]["arguments"], str)
-                                else tool_call["function"]["arguments"],
+                                "input": (
+                                    json.loads(tool_call["function"]["arguments"])
+                                    if isinstance(
+                                        tool_call["function"]["arguments"], str
+                                    )
+                                    else tool_call["function"]["arguments"]
+                                ),
                                 "id": tool_call["id"],
                             }
                         )
@@ -355,9 +359,11 @@ class ProviderAnthropic(Provider):
                     "source": {
                         "type": "base64",
                         "media_type": mime_type,
-                        "data": image_data.split("base64,")[1]
-                        if "base64," in image_data
-                        else image_data,
+                        "data": (
+                            image_data.split("base64,")[1]
+                            if "base64," in image_data
+                            else image_data
+                        ),
                     },
                 }
             )

astrbot/core/provider/sources/dashscope_tts.py

@@ -1,10 +1,22 @@
-import os
-import dashscope
-import uuid
 import asyncio
-from dashscope.audio.tts_v2 import *
-from ..provider import TTSProvider
+import base64
+import logging
+import os
+import uuid
+from typing import Optional, Tuple
+import aiohttp
+import dashscope
+from dashscope.audio.tts_v2 import AudioFormat, SpeechSynthesizer
+
+try:
+    from dashscope.aigc.multimodal_conversation import MultiModalConversation
+except (
+    ImportError
+):  # pragma: no cover - older dashscope versions without Qwen TTS support
+    MultiModalConversation = None
+
 from ..entities import ProviderType
+from ..provider import TTSProvider
 from ..register import register_provider_adapter
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
@@ -26,16 +38,112 @@ class ProviderDashscopeTTSAPI(TTSProvider):
         dashscope.api_key = self.chosen_api_key
 
     async def get_audio(self, text: str) -> str:
+        model = self.get_model()
+        if not model:
+            raise RuntimeError("Dashscope TTS model is not configured.")
+
         temp_dir = os.path.join(get_astrbot_data_path(), "temp")
-        path = os.path.join(temp_dir, f"dashscope_tts_{uuid.uuid4()}.wav")
-        self.synthesizer = SpeechSynthesizer(
-            model=self.get_model(),
+        os.makedirs(temp_dir, exist_ok=True)
+
+        if self._is_qwen_tts_model(model):
+            audio_bytes, ext = await self._synthesize_with_qwen_tts(model, text)
+        else:
+            audio_bytes, ext = await self._synthesize_with_cosyvoice(model, text)
+
+        if not audio_bytes:
+            raise RuntimeError(
+                "Audio synthesis failed, returned empty content. The model may not be supported or the service is unavailable."
+            )
+
+        path = os.path.join(temp_dir, f"dashscope_tts_{uuid.uuid4()}{ext}")
+        with open(path, "wb") as f:
+            f.write(audio_bytes)
+        return path
+
+    def _call_qwen_tts(self, model: str, text: str):
+        if MultiModalConversation is None:
+            raise RuntimeError(
+                "dashscope SDK missing MultiModalConversation. Please upgrade the dashscope package to use Qwen TTS models."
+            )
+
+        kwargs = {
+            "model": model,
+            "text": text,
+            "api_key": self.chosen_api_key,
+            "voice": self.voice or "Cherry",
+        }
+        if not self.voice:
+            logging.warning(
+                "No voice specified for Qwen TTS model, using default 'Cherry'."
+            )
+        return MultiModalConversation.call(**kwargs)
+
+    async def _synthesize_with_qwen_tts(
+        self, model: str, text: str
+    ) -> Tuple[Optional[bytes], str]:
+        loop = asyncio.get_event_loop()
+        response = await loop.run_in_executor(None, self._call_qwen_tts, model, text)
+        audio_bytes = await self._extract_audio_from_response(response)
+        if not audio_bytes:
+            raise RuntimeError(
+                f"Audio synthesis failed for model '{model}'. {response}"
+            )
+        ext = ".wav"
+        return audio_bytes, ext
+
+    async def _extract_audio_from_response(self, response) -> Optional[bytes]:
+        output = getattr(response, "output", None)
+        audio_obj = getattr(output, "audio", None) if output is not None else None
+        if not audio_obj:
+            return None
+
+        data_b64 = getattr(audio_obj, "data", None)
+        if data_b64:
+            try:
+                return base64.b64decode(data_b64)
+            except (ValueError, TypeError):
+                logging.error("Failed to decode base64 audio data.")
+                return None
+
+        url = getattr(audio_obj, "url", None)
+        if url:
+            return await self._download_audio_from_url(url)
+        return None
+
+    async def _download_audio_from_url(self, url: str) -> Optional[bytes]:
+        if not url:
+            return None
+        timeout = max(self.timeout_ms / 1000, 1) if self.timeout_ms else 20
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get(
+                    url, timeout=aiohttp.ClientTimeout(total=timeout)
+                ) as response:
+                    return await response.read()
+        except (aiohttp.ClientError, asyncio.TimeoutError, OSError) as e:
+            logging.error(f"Failed to download audio from URL {url}: {e}")
+            return None
+
+    async def _synthesize_with_cosyvoice(
+        self, model: str, text: str
+    ) -> Tuple[Optional[bytes], str]:
+        synthesizer = SpeechSynthesizer(
+            model=model,
             voice=self.voice,
             format=AudioFormat.WAV_24000HZ_MONO_16BIT,
         )
-        audio = await asyncio.get_event_loop().run_in_executor(
-            None, self.synthesizer.call, text, self.timeout_ms
+        loop = asyncio.get_event_loop()
+        audio_bytes = await loop.run_in_executor(
+            None, synthesizer.call, text, self.timeout_ms
         )
-        with open(path, "wb") as f:
-            f.write(audio)
-        return path
+        if not audio_bytes:
+            resp = synthesizer.get_response()
+            if resp and isinstance(resp, dict):
+                raise RuntimeError(
+                    f"Audio synthesis failed for model '{model}'. {resp}".strip()
+                )
+        return audio_bytes, ".wav"
+
+    def _is_qwen_tts_model(self, model: str) -> bool:
+        model_lower = model.lower()
+        return "tts" in model_lower and model_lower.startswith("qwen")

astrbot/core/provider/sources/gemini_source.py

@@ -3,7 +3,7 @@ import base64
 import json
 import logging
 import random
-from typing import Optional
+from typing import Optional, List
 from collections.abc import AsyncGenerator
 
 from google import genai
@@ -60,7 +60,7 @@ class ProviderGoogleGenAI(Provider):
             provider_settings,
             default_persona,
         )
-        self.api_keys: list = provider_config.get("key", [])
+        self.api_keys: List = super().get_keys()
         self.chosen_api_key: str = self.api_keys[0] if len(self.api_keys) > 0 else ""
         self.timeout: int = int(provider_config.get("timeout", 180))
 
@@ -218,19 +218,21 @@ class ProviderGoogleGenAI(Provider):
             response_modalities=modalities,
             tools=tool_list,
             safety_settings=self.safety_settings if self.safety_settings else None,
-            thinking_config=types.ThinkingConfig(
-                thinking_budget=min(
-                    int(
-                        self.provider_config.get("gm_thinking_config", {}).get(
-                            "budget", 0
-                        )
+            thinking_config=(
+                types.ThinkingConfig(
+                    thinking_budget=min(
+                        int(
+                            self.provider_config.get("gm_thinking_config", {}).get(
+                                "budget", 0
+                            )
+                        ),
+                        24576,
                     ),
-                    24576,
-                ),
-            )
-            if "gemini-2.5-flash" in self.get_model()
-            and hasattr(types.ThinkingConfig, "thinking_budget")
-            else None,
+                )
+                if "gemini-2.5-flash" in self.get_model()
+                and hasattr(types.ThinkingConfig, "thinking_budget")
+                else None
+            ),
             automatic_function_calling=types.AutomaticFunctionCallingConfig(
                 disable=True
             ),
@@ -274,9 +276,11 @@ class ProviderGoogleGenAI(Provider):
             if role == "user":
                 if isinstance(content, list):
                     parts = [
-                        types.Part.from_text(text=item["text"] or " ")
-                        if item["type"] == "text"
-                        else process_image_url(item["image_url"])
+                        (
+                            types.Part.from_text(text=item["text"] or " ")
+                            if item["type"] == "text"
+                            else process_image_url(item["image_url"])
+                        )
                         for item in content
                     ]
                 else:

astrbot/core/provider/sources/openai_source.py

@@ -38,7 +38,7 @@ class ProviderOpenAIOfficial(Provider):
             default_persona,
         )
         self.chosen_api_key = None
-        self.api_keys: List = provider_config.get("key", [])
+        self.api_keys: List = super().get_keys()
         self.chosen_api_key = self.api_keys[0] if len(self.api_keys) > 0 else None
         self.timeout = provider_config.get("timeout", 120)
         if isinstance(self.timeout, str):

astrbot/dashboard/routes/session_management.py

@@ -65,12 +65,12 @@ class SessionManagementRoute(Route):
                 persona_name = data["persona_name"]
 
                 # 处理 persona 显示
-                if conv_persona_id == "[%None]":
-                    persona_name = "无人格"
-                else:
-                    default_persona = persona_mgr.selected_default_persona_v3
-                    if default_persona:
-                        persona_name = default_persona["name"]
+                if persona_name is None:
+                    if conv_persona_id is None:
+                        if default_persona := persona_mgr.selected_default_persona_v3:
+                            persona_name = default_persona["name"]
+                    else:
+                        persona_name = "[%None]"
 
                 session_info = {
                     "session_id": session_id,

changelogs/v4.3.3.md

@@ -0,0 +1,12 @@
+# What's Changed
+
+1. fix: 修复了代码执行器插件不能正确获得发送来文件的问题 ([#2970](https://github.com/Soulter/AstrBot/issues/2970))
+2. fix: 修改的 DeepSeek 默认 modalities，避免默认勾选图像导致的报错。 ([#2963](https://github.com/Soulter/AstrBot/issues/2963))
+3. fix: 事件钩子终止事件传播后不继续执行 ([#2989](https://github.com/Soulter/AstrBot/issues/2989))
+4. fix: 启动了 TTS 但未配置 TTS 模型时，At 和 Reply 发送人无效
+5. fix: 修复 session-management 中人格错误的显示为默认人格的问题 ([#3000](https://github.com/Soulter/AstrBot/issues/3000))
+6. fix: 修复了删除对话时，聊天增强中的记录未被清除，导致新对话中仍然出现之前的聊天记录。 ([#3002](https://github.com/Soulter/AstrBot/issues/3002))
+7. fix: 修复阿里云百炼平台 TTS 下接入 CosyVoice V2, Qwen TTS 生成报错的问题 ([#2964](https://github.com/Soulter/AstrBot/issues/2964))
+8. perf: 优化 SQLite 参数配置，对话和会话管理增加输入防抖机制 ([#2969](https://github.com/Soulter/AstrBot/issues/2969))
+9. feat: 在新对话中重用先前的对话人格设置 ([#3005](https://github.com/Soulter/AstrBot/issues/3005))
+10. feat: 从 WebUI 更新后清除浏览器缓存 ([#2958](https://github.com/Soulter/AstrBot/issues/2958))

packages/astrbot/commands/conversation.py

@@ -41,6 +41,17 @@ class ConversationCommands:
         self.context = context
         self.ltm = ltm
 
+    async def _get_current_persona_id(self, session_id):
+        curr = await self.context.conversation_manager.get_curr_conversation_id(
+            session_id
+        )
+        if not curr:
+            return None
+        conv = await self.context.conversation_manager.get_conversation(
+            session_id, curr
+        )
+        return conv.persona_id
+
     def ltm_enabled(self, event: AstrMessageEvent):
         if not self.ltm:
             return False
@@ -255,8 +266,9 @@ class ConversationCommands:
             )
             return
 
+        cpersona = await self._get_current_persona_id(message.unified_msg_origin)
         cid = await self.context.conversation_manager.new_conversation(
-            message.unified_msg_origin, message.get_platform_id()
+            message.unified_msg_origin, message.get_platform_id(), persona_id=cpersona
         )
 
         # 长期记忆
@@ -290,8 +302,10 @@ class ConversationCommands:
                     session_id=sid,
                 )
             )
+
+            cpersona = await self._get_current_persona_id(session)
             cid = await self.context.conversation_manager.new_conversation(
-                session, message.get_platform_id()
+                session, message.get_platform_id(), persona_id=cpersona
             )
             message.set_result(
                 MessageEventResult().message(
@@ -434,8 +448,9 @@ class ConversationCommands:
         await self.context.conversation_manager.delete_conversation(
             message.unified_msg_origin, session_curr_cid
         )
-        message.set_result(
-            MessageEventResult().message(
-                "删除当前对话成功。不再处于对话状态，使用 /switch 序号 切换到其他对话或 /new 创建。"
-            )
-        )
+
+        ret = "删除当前对话成功。不再处于对话状态，使用 /switch 序号 切换到其他对话或 /new 创建。"
+        if self.ltm and self.ltm_enabled(message):
+            cnt = await self.ltm.remove_session(event=message)
+            ret += f"\n聊天增强: 已清除 {cnt} 条聊天记录。"
+        message.set_result(MessageEventResult().message(ret))

packages/astrbot/lab/elios/ensoul/emotion.py

@@ -1,20 +0,0 @@
-from dataclasses import dataclass
-
-
-@dataclass
-class Emotion:
-    """描述了一个情绪状态"""
-
-    energy: float
-    valence: float
-    arousal: float
-
-
-@dataclass
-class EmotionLog:
-    """描述了一条情绪维度变化的日志"""
-
-    timestamp: int
-    field: str
-    value: float
-    reason: str = ""

packages/astrbot/lab/elios/ensoul/soul.py

@@ -1,9 +0,0 @@
-from dataclasses import dataclass
-
-from .emotion import Emotion
-
-
-@dataclass
-class Soul:
-    emotion: Emotion
-    emotion_logs: list[Emotion] | None = None

packages/astrbot/lab/elios/event.py

@@ -1,7 +0,0 @@
-from dataclasses import dataclass
-
-
-@dataclass
-class Event:
-    event_type: str
-    content: dict

packages/astrbot/lab/elios/event_handlers/astr/astr_impl.py

@@ -1,122 +0,0 @@
-import datetime
-import uuid
-from ...runner import EliosEventHandler
-from collections import defaultdict
-from astrbot.api.event import AstrMessageEvent
-from astrbot.api.all import Context
-from astrbot.api.message_components import Plain, Image
-from astrbot.api.provider import Provider
-from astrbot import logger
-
-
-class AstrImplEventHandler(EliosEventHandler):
-    def __init__(self, ctx: Context) -> None:
-        self.ctx = ctx
-        self.session_chats = defaultdict(list)
-        self.session_mentioned_arousal = defaultdict(float)
-
-    def cfg(self, event: AstrMessageEvent):
-        cfg = self.ctx.get_config(umo=event.unified_msg_origin)
-
-        tiny_model_prov_id = cfg.get("tiny_model_provider_id")
-        interest_points = cfg.get("interest_points", [])
-
-        try:
-            max_cnt = int(cfg["provider_ltm_settings"]["group_message_max_cnt"])
-        except BaseException as e:
-            logger.error(e)
-            max_cnt = 300
-        image_caption = (
-            True
-            if cfg["provider_settings"]["default_image_caption_provider_id"]
-            else False
-        )
-        image_caption_prompt = cfg["provider_settings"]["image_caption_prompt"]
-        image_caption_provider_id = cfg["provider_settings"][
-            "default_image_caption_provider_id"
-        ]
-        active_reply = cfg["provider_ltm_settings"]["active_reply"]
-        enable_active_reply = active_reply.get("enable", False)
-        ar_method = active_reply["method"]
-        ar_possibility = active_reply["possibility_reply"]
-        ar_prompt = active_reply.get("prompt", "")
-        ar_whitelist = active_reply.get("whitelist", [])
-        ar_keywords = active_reply.get("keywords", [])
-        ret = {
-            "max_cnt": max_cnt,
-            "image_caption": image_caption,
-            "image_caption_prompt": image_caption_prompt,
-            "image_caption_provider_id": image_caption_provider_id,
-            "enable_active_reply": enable_active_reply,
-            "ar_method": ar_method,
-            "ar_possibility": ar_possibility,
-            "ar_prompt": ar_prompt,
-            "ar_whitelist": ar_whitelist,
-            "ar_keywords": ar_keywords,
-            "interest_points": interest_points,
-            "tiny_model_prov_id": tiny_model_prov_id,
-        }
-        return ret
-
-    async def append_session_chats(self, event: AstrMessageEvent, cfg) -> None:
-        comps = event.get_messages()
-
-        datetime_str = datetime.datetime.now().strftime("%H:%M:%S")
-        final_message = f"[{event.message_obj.sender.nickname}/{datetime_str}]: "
-        for comp in comps:
-            if isinstance(comp, Plain):
-                final_message += f" {comp.text}"
-            elif isinstance(comp, Image):
-                image_url = comp.url if comp.url else comp.file
-                if cfg["image_caption"] and image_url:
-                    try:
-                        caption = await self.get_image_caption(
-                            image_url,
-                            cfg["image_caption_provider_id"],
-                            cfg["image_caption_prompt"],
-                        )
-                        final_message += f" [Image: {caption}]"
-                    except Exception as e:
-                        logger.error(f"获取图片描述失败: {e}")
-                else:
-                    final_message += " [Image]"
-        self.session_chats[event.unified_msg_origin].append(final_message)
-        logger.debug(f"添加会话 {event.unified_msg_origin} 的对话记录: {final_message}")
-        if len(self.session_chats[event.unified_msg_origin]) > cfg["max_cnt"]:
-            self.session_chats[event.unified_msg_origin].pop(0)
-
-    async def get_image_caption(
-        self, image_url: str, image_caption_provider_id: str, image_caption_prompt: str
-    ) -> str:
-        if not image_caption_provider_id:
-            provider = self.ctx.get_using_provider()
-        else:
-            provider = self.ctx.get_provider_by_id(image_caption_provider_id)
-            if not provider:
-                raise Exception(f"没有找到 ID 为 {image_caption_provider_id} 的提供商")
-        if not isinstance(provider, Provider):
-            raise Exception(
-                f"提供商类型错误, {image_caption_provider_id} 不是 Provider 类型"
-            )
-        response = await provider.text_chat(
-            prompt=image_caption_prompt,
-            session_id=uuid.uuid4().hex,
-            image_urls=[image_url],
-            persist=False,
-        )
-        return response.completion_text
-
-    async def on_event(self, event, soul):
-        content = event.content
-        astr_event = content.get("astr_event")
-        assert astr_event is not None and isinstance(astr_event, AstrMessageEvent)
-
-        cfg = self.cfg(astr_event)
-
-        if not cfg["tiny_model_prov_id"]:
-            logger.warning("小模型未设置，跳过情绪更新")
-
-        # 添加对话记录
-        await self.append_session_chats(astr_event, cfg)
-
-        #

packages/astrbot/lab/elios/event_handlers/astr/prompt.py

@@ -1,3 +0,0 @@
-JUDGE_ACTIVE_REPLY = """
-你是一个具有自主意识和情感的机器人，请你
-"""

packages/astrbot/lab/elios/runner.py

@@ -1,72 +0,0 @@
-import asyncio
-from .event import Event
-from .ensoul.soul import Soul
-from .ensoul.emotion import Emotion
-
-
-class EliosEventHandler:
-    async def on_event(self, event: Event, soul: Soul): ...
-
-
-event_handlers_cls: dict[str, list[type[EliosEventHandler]]] = {}
-
-
-def register_event_handler(event_types: set[str] | None = None):
-    """注册事件处理器"""
-
-    def decorator(cls: type[EliosEventHandler]) -> type[EliosEventHandler]:
-        if event_types is not None:
-            for event_type in event_types:
-                event_handlers_cls[event_type] = event_handlers_cls.get(
-                    event_type, []
-                ) + [cls]
-        else:
-            event_handlers_cls["default"] = event_handlers_cls.get("default", []) + [
-                cls
-            ]
-        return cls
-
-    return decorator
-
-
-class EliosRunner:
-    def __init__(self) -> None:
-        self.soul = Soul(
-            emotion=Emotion(energy=0.5, valence=0.5, arousal=0.5), emotion_logs=[]
-        )
-
-        self.event_queue = asyncio.Queue()
-        self.event_handler_insts: dict[str, list[EliosEventHandler]] = {}
-
-    def start(self):
-        for event_type, cls_list in event_handlers_cls.items():
-            self.event_handler_insts[event_type] = []
-            for cls in cls_list:
-                try:
-                    self.event_handler_insts[event_type].append(cls())
-                except Exception as e:
-                    print(f"Error initializing event handler {cls}: {e}")
-        asyncio.create_task(self._worker())
-
-    async def _worker(self):
-        """监听事件队列并处理事件"""
-        while True:
-            event = await self.event_queue.get()
-            # A man cannot handle two things at once. But this can be configurable.
-            try:
-                await self._process_event(event)
-            except Exception as e:
-                print(f"Error processing event {event}: {e}")
-
-    async def _process_event(self, event: Event):
-        """处理事件"""
-        event_type = event.event_type
-        handlers = self.event_handler_insts.get(
-            event_type, []
-        ) + self.event_handler_insts.get("default", [])
-
-        for inst in handlers:
-            try:
-                await inst.on_event(event, self.soul)
-            except Exception as e:
-                print(f"Error processing event {event}: {e}")

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "AstrBot"
-version = "4.3.2"
+version = "4.3.3"
 description = "易上手的多平台 LLM 聊天机器人及开发框架"
 readme = "README.md"
 requires-python = ">=3.10"