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20 Commits

Author SHA1 Message Date
Soulter 79e2743aac chore: bump version to 4.3.3 2025-10-12 11:42:18 +08:00
anka 5e9c7cdd91 fix: 当没有填写 api key 时,设置为空字符串 (#2834)
* 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>
2025-10-12 10:50:01 +08:00
Dt8333 6f73e5087d feat(core): 在新对话中重用先前的对话人格设置 (#3005)
* feat(core): reuse persona conf in new conversation

#2985

* refactor(core): simplify persona retrieval logic

* style: code format

---------

Co-authored-by: Soulter <905617992@qq.com>
2025-10-12 10:42:35 +08:00
Yaron 8c120b020e 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)
* fix: 修复了CosyVoice V2,Qwen TTS生成报错的问题。Fixed compatability problems with CosyVoice V2, Qwen TTS.

* fix: 将urlopen的同步请求替换为aiohttp的异步请求以下载音频

* fix: cozyvoice 报错显示

* fix: 添加阿里云百炼 TTS API Key 获取提示信息

---------

Co-authored-by: Soulter <905617992@qq.com>
2025-10-12 01:03:06 +08:00
Dt8333 12fc6f9d38 fix(LTM): fix LTM not removed when removing conversation (#3002)
#2983
2025-10-12 00:16:42 +08:00
Dt8333 a6e8483b4c fix: 修复session-management中人格错误的显示为默认人格的问题 (#3000)
* fix: 修复session-management中人格错误的显示为默认人格的问题

#2985

* refactor: 使用命名表达式简化赋值和条件

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

* style: format edited code with ruff

format code edited by sourcery-ai

---------

Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
2025-10-12 00:12:04 +08:00
Soulter 7191d28ada fix: 启动了 TTS 但未配置 TTS 模型时,At 和 Reply 发送人无效
fixes: #2996
2025-10-10 12:11:03 +08:00
Soulter e6b5e3d282 feat: tokenpony provider 2025-10-09 16:00:31 +08:00
ctrlkk 1413d6b5fe fix: 让事件钩子被暂停时跳出循环,而不是继续执行 (#2989) 2025-10-09 15:01:45 +08:00
ctrlkk dcd8a1094c feat: 优化 SQLite 参数配置,对话和会话管理增加输入防抖机制 (#2969)
* feat: 优化 SQLite 数据库初始化设置并增强会话搜索功能,会话管理增加输入防抖

* fix: adjust SQLite cache and mmap size

---------

Co-authored-by: Soulter <905617992@qq.com>
2025-10-06 17:13:53 +08:00
Futureppo e64b31b9ba fix: Correct default modalities for DeepSeek provider (#2963)
* 更新 package.json

* 更新 ExtensionPage.vue

* fix(provider): Correct default modalities for DeepSeek provider
2025-10-06 16:30:05 +08:00
Dt8333 080f347511 feat: clean browser cache after update (#2958)
* feat: clean browser cache after update

* fix: move const to module

* fix: remove self prefix (a stupid mistake)
2025-10-06 16:29:18 +08:00
Dt8333 eaaff4298d fix(Python-Interpreter): fix incorrect file read method (#2970)
fix getting file by property(Sync) in an async handler

#2960
2025-10-06 16:12:05 +08:00
Soulter dd5a02e8ef chore: bump version to 4.3.2 2025-10-05 01:01:13 +08:00
Soulter 3211ec57ee fix: handle Google search initialization and errors gracefully 2025-10-05 00:55:47 +08:00
Soulter 6796afdaee fix: googlesearch 2025-10-05 00:54:24 +08:00
Soulter cc6fe57773 fix: on_tool_end无法获得工具返回的结果 (#2956)
fixes: #2940
2025-10-05 00:37:51 +08:00
Soulter 1dfc831938 fix: 修复 reset 没有清除群聊上下文感知数据的问题 (#2954) 2025-10-05 00:05:42 +08:00
Futureppo cafeda4abf feat: 为插件市场的搜索增加拼音与首字母搜索功能 (#2936)
* 更新 package.json

* 更新 ExtensionPage.vue
2025-10-03 09:42:57 +08:00
Soulter d951b99718 fix: 发送阶段将 Plain 为空的消息段移除 2025-10-03 00:45:07 +08:00
25 changed files with 462 additions and 217 deletions
@@ -198,6 +198,17 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
func_tool = req.func_tool.get_func(func_tool_name)
logger.info(f"使用工具:{func_tool_name},参数:{func_tool_args}")
if not func_tool:
logger.warning(f"未找到指定的工具: {func_tool_name},将跳过。")
tool_call_result_blocks.append(
ToolCallMessageSegment(
role="tool",
tool_call_id=func_tool_id,
content=f"error: 未找到工具 {func_tool_name}",
)
)
continue
try:
await self.agent_hooks.on_tool_start(
self.run_context, func_tool, func_tool_args
@@ -210,9 +221,12 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
run_context=self.run_context,
**func_tool_args,
)
async for resp in executor:
_final_resp: CallToolResult | None = None
async for resp in executor: # type: ignore
if isinstance(resp, CallToolResult):
res = resp
_final_resp = resp
if isinstance(res.content[0], TextContent):
tool_call_result_blocks.append(
ToolCallMessageSegment(
@@ -279,13 +293,14 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
chain=res.chain, type="tool_direct_result"
)
else:
# 不应该出现其他类型
logger.warning(
f"Tool 返回了不支持的类型: {type(resp)},将忽略。"
)
try:
await self.agent_hooks.on_tool_end(
self.run_context, func_tool, func_tool_args, None
self.run_context, func_tool, func_tool_args, _final_resp
)
except Exception as e:
logger.error(f"Error in on_tool_end hook: {e}", exc_info=True)
+19 -7
View File
@@ -6,7 +6,7 @@ import os
from astrbot.core.utils.astrbot_path import get_astrbot_data_path
VERSION = "4.3.1"
VERSION = "4.3.3"
DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
# 默认配置
@@ -775,7 +775,7 @@ CONFIG_METADATA_2 = {
"timeout": 120,
"model_config": {"model": "deepseek-chat", "temperature": 0.4},
"custom_extra_body": {},
"modalities": ["text", "image", "tool_use"],
"modalities": ["text", "tool_use"],
},
"302.AI": {
"id": "302ai",
@@ -821,6 +821,21 @@ CONFIG_METADATA_2 = {
},
"custom_extra_body": {},
},
"小马算力": {
"id": "tokenpony",
"provider": "tokenpony",
"type": "openai_chat_completion",
"provider_type": "chat_completion",
"enable": True,
"key": [],
"api_base": "https://api.tokenpony.cn/v1",
"timeout": 120,
"model_config": {
"model": "kimi-k2-instruct-0905",
"temperature": 0.7,
},
"custom_extra_body": {},
},
"优云智算": {
"id": "compshare",
"provider": "compshare",
@@ -1041,6 +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",
@@ -1420,11 +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",
+7
View File
@@ -32,6 +32,12 @@ class SQLiteDatabase(BaseDatabase):
"""Initialize the database by creating tables if they do not exist."""
async with self.engine.begin() as conn:
await conn.run_sync(SQLModel.metadata.create_all)
await conn.execute(text("PRAGMA journal_mode=WAL"))
await conn.execute(text("PRAGMA synchronous=NORMAL"))
await conn.execute(text("PRAGMA cache_size=20000"))
await conn.execute(text("PRAGMA temp_store=MEMORY"))
await conn.execute(text("PRAGMA mmap_size=134217728"))
await conn.execute(text("PRAGMA optimize"))
await conn.commit()
# ====
@@ -160,6 +166,7 @@ class SQLiteDatabase(BaseDatabase):
col(ConversationV2.title).ilike(f"%{search_query}%"),
col(ConversationV2.content).ilike(f"%{search_query}%"),
col(ConversationV2.user_id).ilike(f"%{search_query}%"),
col(ConversationV2.conversation_id).ilike(f"%{search_query}%"),
)
)
if "message_types" in kwargs and len(kwargs["message_types"]) > 0:
+1
View File
@@ -97,5 +97,6 @@ async def call_event_hook(
logger.info(
f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
)
return True
return event.is_stopped()
+10
View File
@@ -190,6 +190,16 @@ class RespondStage(Stage):
except Exception as e:
logger.warning(f"空内容检查异常: {e}")
# 将 Plain 为空的消息段移除
result.chain = [
comp
for comp in result.chain
if not (
isinstance(comp, Comp.Plain)
and (not comp.text or not comp.text.strip())
)
]
# 发送消息链
# Record 需要强制单独发送
need_separately = {ComponentType.Record}
+47 -48
View File
@@ -189,54 +189,54 @@ class ResultDecorateStage(Stage):
logger.warning(
f"会话 {event.unified_msg_origin} 未配置文本转语音模型。"
)
return
new_chain = []
for comp in result.chain:
if isinstance(comp, Plain) and len(comp.text) > 1:
try:
logger.info(f"TTS 请求: {comp.text}")
audio_path = await tts_provider.get_audio(comp.text)
logger.info(f"TTS 结果: {audio_path}")
if not audio_path:
logger.error(
f"由于 TTS 音频文件未找到,消息段转语音失败: {comp.text}"
else:
new_chain = []
for comp in result.chain:
if isinstance(comp, Plain) and len(comp.text) > 1:
try:
logger.info(f"TTS 请求: {comp.text}")
audio_path = await tts_provider.get_audio(comp.text)
logger.info(f"TTS 结果: {audio_path}")
if not audio_path:
logger.error(
f"由于 TTS 音频文件未找到,消息段转语音失败: {comp.text}"
)
new_chain.append(comp)
continue
use_file_service = self.ctx.astrbot_config[
"provider_tts_settings"
]["use_file_service"]
callback_api_base = self.ctx.astrbot_config[
"callback_api_base"
]
dual_output = self.ctx.astrbot_config[
"provider_tts_settings"
]["dual_output"]
url = None
if use_file_service and callback_api_base:
token = await file_token_service.register_file(
audio_path
)
url = f"{callback_api_base}/api/file/{token}"
logger.debug(f"已注册:{url}")
new_chain.append(
Record(
file=url or audio_path,
url=url or audio_path,
)
)
if dual_output:
new_chain.append(comp)
except Exception:
logger.error(traceback.format_exc())
logger.error("TTS 失败,使用文本发送。")
new_chain.append(comp)
continue
use_file_service = self.ctx.astrbot_config[
"provider_tts_settings"
]["use_file_service"]
callback_api_base = self.ctx.astrbot_config[
"callback_api_base"
]
dual_output = self.ctx.astrbot_config[
"provider_tts_settings"
]["dual_output"]
url = None
if use_file_service and callback_api_base:
token = await file_token_service.register_file(
audio_path
)
url = f"{callback_api_base}/api/file/{token}"
logger.debug(f"已注册:{url}")
new_chain.append(
Record(
file=url or audio_path,
url=url or audio_path,
)
)
if dual_output:
new_chain.append(comp)
except Exception:
logger.error(traceback.format_exc())
logger.error("TTS 失败,使用文本发送。")
else:
new_chain.append(comp)
else:
new_chain.append(comp)
result.chain = new_chain
result.chain = new_chain
# 文本转图片
elif (
@@ -279,7 +279,6 @@ class ResultDecorateStage(Stage):
result.chain = [Image.fromFileSystem(url)]
# 触发转发消息
has_forwarded = False
if event.get_platform_name() == "aiocqhttp":
word_cnt = 0
for comp in result.chain:
@@ -290,9 +289,9 @@ class ResultDecorateStage(Stage):
uin=event.get_self_id(), name="AstrBot", content=[*result.chain]
)
result.chain = [node]
has_forwarded = True
if not has_forwarded:
has_plain = any(isinstance(item, Plain) for item in result.chain)
if has_plain:
# at 回复
if (
self.reply_with_mention
+2 -1
View File
@@ -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):
@@ -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
),
},
}
)
+121 -13
View File
@@ -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")
+21 -17
View File
@@ -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:
@@ -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):
@@ -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,
+8 -5
View File
@@ -9,6 +9,8 @@ from astrbot.core.config.default import VERSION
from astrbot.core import DEMO_MODE
from astrbot.core.db.migration.helper import do_migration_v4, check_migration_needed_v4
CLEAR_SITE_DATA_HEADERS = {"Clear-Site-Data": '"cache"'}
class UpdateRoute(Route):
def __init__(
@@ -113,17 +115,19 @@ class UpdateRoute(Route):
if reboot:
await self.core_lifecycle.restart()
return (
ret = (
Response()
.ok(None, "更新成功,AstrBot 将在 2 秒内全量重启以应用新的代码。")
.__dict__
)
return ret, 200, CLEAR_SITE_DATA_HEADERS
else:
return (
ret = (
Response()
.ok(None, "更新成功,AstrBot 将在下次启动时应用新的代码。")
.__dict__
)
return ret, 200, CLEAR_SITE_DATA_HEADERS
except Exception as e:
logger.error(f"/api/update_project: {traceback.format_exc()}")
return Response().error(e.__str__()).__dict__
@@ -135,9 +139,8 @@ class UpdateRoute(Route):
except Exception as e:
logger.error(f"下载管理面板文件失败: {e}")
return Response().error(f"下载管理面板文件失败: {e}").__dict__
return (
Response().ok(None, "更新成功。刷新页面即可应用新版本面板。").__dict__
)
ret = Response().ok(None, "更新成功。刷新页面即可应用新版本面板。").__dict__
return ret, 200, CLEAR_SITE_DATA_HEADERS
except Exception as e:
logger.error(f"/api/update_dashboard: {traceback.format_exc()}")
return Response().error(e.__str__()).__dict__
+7
View File
@@ -0,0 +1,7 @@
# What's Changed
1. fix: 修复 /reset 指令没有清除群聊上下文感知数据的问题 ([#2954](https://github.com/AstrBotDevs/AstrBot/issues/2954))
2. fix: 修复自带的 WebSearch 插件可能在部分场景下无法使用的问题
3. fix: 发送阶段强行将 Plain 为空的消息段移除
4. fix: on_tool_end无法获得工具返回的结果 ([#2956](https://github.com/AstrBotDevs/AstrBot/issues/2956))
5. feat: 为插件市场的搜索增加拼音与首字母搜索功能 ([#2936](https://github.com/AstrBotDevs/AstrBot/issues/2936))
+12
View File
@@ -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))
+1
View File
@@ -27,6 +27,7 @@
"lodash": "4.17.21",
"marked": "^15.0.7",
"markdown-it": "^14.1.0",
"pinyin-pro": "^3.26.0",
"pinia": "2.1.6",
"remixicon": "3.5.0",
"vee-validate": "4.11.3",
+95 -86
View File
@@ -10,7 +10,7 @@
<v-col cols="12" sm="6" md="4">
<v-combobox v-model="platformFilter" :label="tm('filters.platform')"
:items="availablePlatforms" chips multiple clearable variant="solo-filled" flat
density="compact" hide-details :disabled="loading">
density="compact" hide-details>
<template v-slot:selection="{ item }">
<v-chip size="small" label>
{{ item.title }}
@@ -21,8 +21,7 @@
<v-col cols="12" sm="6" md="4">
<v-select v-model="messageTypeFilter" :label="tm('filters.type')" :items="messageTypeItems"
chips multiple clearable variant="solo-filled" density="compact" hide-details flat
:disabled="loading">
chips multiple clearable variant="solo-filled" density="compact" hide-details flat>
<template v-slot:selection="{ item }">
<v-chip size="small" variant="solo-filled" label>
{{ item.title }}
@@ -34,7 +33,7 @@
<v-col cols="12" sm="12" md="4">
<v-text-field v-model="search" prepend-inner-icon="mdi-magnify"
:label="tm('filters.search')" hide-details density="compact" variant="solo-filled" flat
clearable :disabled="loading"></v-text-field>
clearable></v-text-field>
</v-col>
</v-row>
<v-btn color="primary" prepend-icon="mdi-refresh" variant="tonal" @click="fetchConversations"
@@ -79,6 +78,10 @@
</v-chip>
</template>
<template v-slot:item.cid="{ item }">
<span class="text-truncate">{{ item.cid || tm('status.unknown') }}</span>
</template>
<template v-slot:item.sessionId="{ item }">
<span>{{ item.sessionInfo.sessionId || tm('status.unknown') }}</span>
</template>
@@ -313,6 +316,7 @@
<script>
import axios from 'axios';
import { debounce } from 'lodash';
import { VueMonacoEditor } from '@guolao/vue-monaco-editor';
import MarkdownIt from 'markdown-it';
import { useCommonStore } from '@/stores/common';
@@ -417,8 +421,7 @@ export default {
},
created() {
//
this.debouncedApplyFilters = this.debounce(() => {
this.debouncedApplyFilters = debounce(() => {
//
this.pagination.page = 1;
this.fetchConversations();
@@ -430,13 +433,14 @@ export default {
tableHeaders() {
return [
{ title: this.tm('table.headers.title'), key: 'title', sortable: true },
{ title: '会话 ID', key: 'cid', sortable: true, width: '100px' },
{
title: this.tm('table.headers.sessionId'),
align: 'center',
children: [
{ title: this.tm('table.headers.platform'), key: 'platform', sortable: true, width: '120px' },
{ title: this.tm('table.headers.type'), key: 'messageType', sortable: true, width: '100px' },
{ title: '会话 ID', key: 'sessionId', sortable: true, width: '100px' },
{ title: '用户 ID', key: 'sessionId', sortable: true, width: '100px' },
],
},
{ title: this.tm('table.headers.createdAt'), key: 'created_at', sortable: true, width: '180px' },
@@ -526,19 +530,6 @@ export default {
});
},
//
debounce(func, wait) {
let timeout;
return function () {
const context = this;
const args = arguments;
clearTimeout(timeout);
timeout = setTimeout(() => {
func.apply(context, args);
}, wait);
};
},
//
handleTableOptions(options) {
//
@@ -579,83 +570,93 @@ export default {
},
//
async fetchConversations() {
this.loading = true;
try {
//
const params = {
page: this.pagination.page,
page_size: this.pagination.page_size
};
fetchConversations: (() => {
let controller = new AbortController();
// - combobox
if (this.platformFilter.length > 0) {
const platforms = this.platformFilter.map(item =>
typeof item === 'object' ? item.value : item
);
params.platforms = platforms.join(',');
}
return async function () {
//
controller?.abort()
controller = new AbortController();
if (this.messageTypeFilter.length > 0) {
params.message_types = this.messageTypeFilter.join(',');
}
this.loading = true;
try {
//
const params = {
page: this.pagination.page,
page_size: this.pagination.page_size
};
if (this.search) {
params.search = this.search.trim();
}
//
params.exclude_ids = 'astrbot';
params.exclude_platforms = 'webchat';
const response = await axios.get('/api/conversation/list', { params });
this.lastAppliedFilters = { ...this.currentFilters }; //
if (response.data.status === "ok") {
const data = response.data.data;
if (!data || !data.conversations) {
console.error('API 返回数据格式不符合预期:', data);
this.showErrorMessage(this.tm('messages.fetchError'));
return;
// - combobox
if (this.platformFilter.length > 0) {
const platforms = this.platformFilter.map(item =>
typeof item === 'object' ? item.value : item
);
params.platforms = platforms.join(',');
}
// sessionId
this.conversations = (data.conversations || []).map(conv => {
//
conv.sessionInfo = this.parseSessionId(conv.user_id);
return conv;
if (this.messageTypeFilter.length > 0) {
params.message_types = this.messageTypeFilter.join(',');
}
if (this.search) {
params.search = this.search.trim();
}
//
params.exclude_ids = 'astrbot';
params.exclude_platforms = 'webchat';
const response = await axios.get('/api/conversation/list', {
signal: controller.signal,
params
});
//
if (data.pagination) {
this.pagination = {
page: data.pagination.page || 1,
page_size: data.pagination.page_size || 20,
total: data.pagination.total || 0,
total_pages: data.pagination.total_pages || 1
};
this.lastAppliedFilters = { ...this.currentFilters }; //
if (response.data.status === "ok") {
const data = response.data.data;
if (!data || !data.conversations) {
console.error('API 返回数据格式不符合预期:', data);
this.showErrorMessage(this.tm('messages.fetchError'));
return;
}
// sessionId
this.conversations = (data.conversations || []).map(conv => {
//
conv.sessionInfo = this.parseSessionId(conv.user_id);
return conv;
});
//
if (data.pagination) {
this.pagination = {
page: data.pagination.page || 1,
page_size: data.pagination.page_size || 20,
total: data.pagination.total || 0,
total_pages: data.pagination.total_pages || 1
};
} else {
console.warn('API 响应中没有分页信息');
}
} else {
console.warn('API 响应中没有分页信息');
this.showErrorMessage(response.data.message || this.tm('messages.fetchError'));
}
} else {
this.showErrorMessage(response.data.message || this.tm('messages.fetchError'));
}
} catch (error) {
console.error('获取对话列表出错:', error);
if (error.response) {
console.error('错误响应数据:', error.response.data);
console.error('错误状态码:', error.response.status);
}
this.showErrorMessage(error.response?.data?.message || error.message || this.tm('messages.fetchError'));
} finally {
// this.loading = false;
setTimeout(() => {
} catch (error) {
if (axios.isCancel(error)) return;
console.error('获取对话列表出错:', error);
if (error.response) {
console.error('错误响应数据:', error.response.data);
console.error('错误状态码:', error.response.status);
}
this.showErrorMessage(error.response?.data?.message || error.message || this.tm('messages.fetchError'));
} finally {
this.loading = false;
}, 200);
}
}
},
})(),
//
async viewConversation(item) {
@@ -993,6 +994,14 @@ export default {
flex-direction: column;
}
.text-truncate {
display: inline-block;
max-width: 100px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
/* 动画 */
@keyframes fadeIn {
from {
+28 -1
View File
@@ -5,6 +5,7 @@ import ConsoleDisplayer from '@/components/shared/ConsoleDisplayer.vue';
import ReadmeDialog from '@/components/shared/ReadmeDialog.vue';
import ProxySelector from '@/components/shared/ProxySelector.vue';
import axios from 'axios';
import { pinyin } from 'pinyin-pro';
import { useCommonStore } from '@/stores/common';
import { useI18n, useModuleI18n } from '@/i18n/composables';
@@ -65,6 +66,32 @@ const marketSearch = ref("");
const filterKeys = ['name', 'desc', 'author'];
const refreshingMarket = ref(false);
//
const normalizeStr = (s) => (s ?? '').toString().toLowerCase().trim();
const toPinyinText = (s) => pinyin(s ?? '', { toneType: 'none' }).toLowerCase().replace(/\s+/g, '');
const toInitials = (s) => pinyin(s ?? '', { pattern: 'first', toneType: 'none' }).toLowerCase().replace(/\s+/g, '');
const marketCustomFilter = (value, query, item) => {
const q = normalizeStr(query);
if (!q) return true;
const candidates = new Set();
if (value != null) candidates.add(String(value));
if (item?.name) candidates.add(String(item.name));
if (item?.trimmedName) candidates.add(String(item.trimmedName));
if (item?.desc) candidates.add(String(item.desc));
if (item?.author) candidates.add(String(item.author));
for (const v of candidates) {
const nv = normalizeStr(v);
if (nv.includes(q)) return true;
const pv = toPinyinText(v);
if (pv.includes(q)) return true;
const iv = toInitials(v);
if (iv.includes(q)) return true;
}
return false;
};
const plugin_handler_info_headers = computed(() => [
{ title: tm('table.headers.eventType'), key: 'event_type_h' },
{ title: tm('table.headers.description'), key: 'desc', maxWidth: '250px' },
@@ -772,7 +799,7 @@ onMounted(async () => {
<v-col cols="12" md="12" style="padding: 0px;">
<v-data-table :headers="pluginMarketHeaders" :items="pluginMarketData" item-key="name"
:loading="loading_" v-model:search="marketSearch" :filter-keys="filterKeys">
:loading="loading_" v-model:search="marketSearch" :filter-keys="filterKeys" :custom-filter="marketCustomFilter">
<template v-slot:item.name="{ item }">
<div class="d-flex align-center"
style="overflow-x: auto; scrollbar-width: thin; scrollbar-track-color: transparent;">
@@ -345,6 +345,7 @@
<script>
import axios from 'axios'
import { debounce } from 'lodash'
import { useI18n, useModuleI18n } from '@/i18n/composables'
export default {
@@ -953,10 +954,10 @@ export default {
},
//
handleSearchChange() {
handleSearchChange: debounce(function() {
this.currentPage = 1; //
this.loadSessions();
},
}, 300),
//
handlePlatformChange() {
+24 -8
View File
@@ -6,6 +6,7 @@ from astrbot.core.platform.message_type import MessageType
from astrbot.core.provider.sources.dify_source import ProviderDify
from astrbot.core.provider.sources.coze_source import ProviderCoze
from astrbot.api import sp, logger
from ..long_term_memory import LongTermMemory
from typing import Union
from enum import Enum
@@ -36,10 +37,21 @@ class RstScene(Enum):
class ConversationCommands:
def __init__(self, context: star.Context, ltm=None):
def __init__(self, context: star.Context, ltm: LongTermMemory | None = None):
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
@@ -254,8 +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
@@ -289,8 +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(
@@ -433,8 +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))
+1 -1
View File
@@ -41,7 +41,7 @@ class Main(star.Star):
self.tool_c = ToolCommands(self.context)
self.plugin_c = PluginCommands(self.context)
self.admin_c = AdminCommands(self.context)
self.conversation_c = ConversationCommands(self.context)
self.conversation_c = ConversationCommands(self.context, self.ltm)
self.provider_c = ProviderCommands(self.context)
self.persona_c = PersonaCommands(self.context)
self.alter_cmd_c = AlterCmdCommands(self.context)
+4 -3
View File
@@ -205,13 +205,14 @@ class Main(star.Star):
return
for comp in event.message_obj.message:
if isinstance(comp, File):
if comp.file.startswith("http"):
file_path = await comp.get_file()
if file_path.startswith("http"):
name = comp.name if comp.name else uuid.uuid4().hex[:8]
temp_dir = os.path.join(get_astrbot_data_path(), "temp")
path = os.path.join(temp_dir, name)
await download_file(comp.file, path)
await download_file(file_path, path)
else:
path = comp.file
path = file_path
self.user_file_msg_buffer[event.get_session_id()].append(path)
logger.debug(f"User {uid} uploaded file: {path}")
yield event.plain_result(f"代码执行器: 文件已经上传: {path}")
+3 -3
View File
@@ -1,5 +1,5 @@
import os
from googlesearch import search
from googlesearch.asearch import asearch
from . import SearchEngine, SearchResult
@@ -14,14 +14,14 @@ class Google(SearchEngine):
async def search(self, query: str, num_results: int) -> List[SearchResult]:
results = []
try:
ls = search(
ls = asearch(
query,
advanced=True,
num_results=num_results,
timeout=3,
proxy=self.proxy,
)
for i in ls:
async for i in ls:
results.append(
SearchResult(title=i.title, url=i.url, snippet=i.description)
)
+10 -5
View File
@@ -46,7 +46,11 @@ class Main(star.Star):
self.bing_search = Bing()
self.sogo_search = Sogo()
self.google = Google()
self.google = None
try:
self.google = Google()
except Exception as e:
logger.error(f"google search init error: {e}, disable google search")
async def _tidy_text(self, text: str) -> str:
"""清理文本,去除空格、换行符等"""
@@ -89,10 +93,11 @@ class Main(star.Star):
self, query, num_results: int = 5
) -> list[SearchResult]:
results = []
try:
results = await self.google.search(query, num_results)
except Exception as e:
logger.error(f"google search error: {e}, try the next one...")
if self.google:
try:
results = await self.google.search(query, num_results)
except Exception as e:
logger.error(f"google search error: {e}, try the next one...")
if len(results) == 0:
logger.debug("search google failed")
try:
+1 -1
View File
@@ -1,6 +1,6 @@
[project]
name = "AstrBot"
version = "4.3.1"
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"