Merge remote-tracking branch 'origin/master' into RC-CHN/master

README.md

@@ -144,7 +144,7 @@ uvx astrbot init
 
 | 名称    | 支持性 | 类型 | 备注 |
 | -------- | ------- | ------- | ------- |
-| OpenAI API | ✔    | 文本生成 | 也支持 DeepSeek、Google Gemini、GLM、Kimi、xAI 等兼容 OpenAI API 的服务 |
+| OpenAI API | ✔    | 文本生成 | 也支持 DeepSeek、Gemini、Kimi、xAI 等兼容 OpenAI API 的服务 |
 | Claude API | ✔    | 文本生成 |  |
 | Google Gemini API | ✔    | 文本生成 |  |
 | Dify | ✔    | LLMOps |  |
@@ -152,6 +152,8 @@ uvx astrbot init
 | Ollama | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
 | LM Studio | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
 | LLMTuner | ✔    | 模型加载器 | 本地加载 lora 等微调模型 |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | ✔    | 模型 API 及算力服务平台 |  |
+| [302.AI](https://share.302.ai/rr1M3l) | ✔    | 模型 API 服务平台 |  |
 | 硅基流动 | ✔    | 模型 API 服务平台 |  |
 | PPIO 派欧云 | ✔    | 模型 API 服务平台 |  |
 | OneAPI | ✔    | LLM 分发系统 |  |

astrbot/core/config/default.py

@@ -6,7 +6,7 @@ import os
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "3.5.19"
+VERSION = "3.5.22"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v3.db")
 
 # 默认配置
@@ -318,8 +318,7 @@ CONFIG_METADATA_2 = {
                     "id": {
                         "description": "机器人名称",
                         "type": "string",
-                        "obvious_hint": True,
-                        "hint": "机器人名称(ID)不能和其它的平台适配器重复。",
+                        "hint": "机器人名称",
                     },
                     "type": {
                         "description": "适配器类型",
@@ -370,7 +369,6 @@ CONFIG_METADATA_2 = {
                         "description": "飞书机器人的名字",
                         "type": "string",
                         "hint": "请务必填对，否则 @ 机器人将无法唤醒，只能通过前缀唤醒。",
-                        "obvious_hint": True,
                     },
                     "discord_token": {
                         "description": "Discord Bot Token",
@@ -486,13 +484,11 @@ CONFIG_METADATA_2 = {
                             "regex": {
                                 "description": "正则表达式",
                                 "type": "string",
-                                "obvious_hint": True,
                                 "hint": "用于分隔一段消息。默认情况下会根据句号、问号等标点符号分隔。re.findall(r'<regex>', text)",
                             },
                             "content_cleanup_rule": {
                                 "description": "过滤分段后的内容",
                                 "type": "string",
-                                "obvious_hint": True,
                                 "hint": "移除分段后的内容中的指定的内容。支持正则表达式。如填写 `[。？！]` 将移除所有的句号、问号、感叹号。re.sub(r'<regex>', '', text)",
                             },
                         },
@@ -515,7 +511,6 @@ CONFIG_METADATA_2 = {
                         "description": "ID 白名单",
                         "type": "list",
                         "items": {"type": "string"},
-                        "obvious_hint": True,
                         "hint": "只处理填写的 ID 发来的消息事件，为空时不启用。可使用 /sid 指令获取在平台上的会话 ID(类似 abc:GroupMessage:123)。管理员可使用 /wl 添加白名单",
                     },
                     "id_whitelist_log": {
@@ -545,7 +540,6 @@ CONFIG_METADATA_2 = {
                         "description": "路径映射",
                         "type": "list",
                         "items": {"type": "string"},
-                        "obvious_hint": True,
                         "hint": "此功能解决由于文件系统不一致导致路径不存在的问题。格式为 <原路径>:<映射路径>。如 `/app/.config/QQ:/var/lib/docker/volumes/xxxx/_data`。这样，当消息平台下发的事件中图片和语音路径以 `/app/.config/QQ` 开头时，开头被替换为 `/var/lib/docker/volumes/xxxx/_data`。这在 AstrBot 或者平台协议端使用 Docker 部署时特别有用。",
                     },
                 },
@@ -605,6 +599,7 @@ CONFIG_METADATA_2 = {
                 "config_template": {
                     "OpenAI": {
                         "id": "openai",
+                        "provider": "openai",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -617,6 +612,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Azure OpenAI": {
                         "id": "azure",
+                        "provider": "azure",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -630,6 +626,7 @@ CONFIG_METADATA_2 = {
                     },
                     "xAI": {
                         "id": "xai",
+                        "provider": "xai",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -642,6 +639,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Anthropic": {
                         "id": "claude",
+                        "provider": "anthropic",
                         "type": "anthropic_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -655,6 +653,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Ollama": {
                         "id": "ollama_default",
+                        "provider": "ollama",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -666,6 +665,7 @@ CONFIG_METADATA_2 = {
                     },
                     "LM Studio": {
                         "id": "lm_studio",
+                        "provider": "lm_studio",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -677,6 +677,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Gemini(OpenAI兼容)": {
                         "id": "gemini_default",
+                        "provider": "google",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -689,6 +690,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Gemini": {
                         "id": "gemini_default",
+                        "provider": "google",
                         "type": "googlegenai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -714,6 +716,7 @@ CONFIG_METADATA_2 = {
                     },
                     "DeepSeek": {
                         "id": "deepseek_default",
+                        "provider": "deepseek",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -726,6 +729,7 @@ CONFIG_METADATA_2 = {
                     },
                     "302.AI": {
                         "id": "302ai",
+                        "provider": "302ai",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -738,6 +742,7 @@ CONFIG_METADATA_2 = {
                     },
                     "硅基流动": {
                         "id": "siliconflow",
+                        "provider": "siliconflow",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -750,6 +755,7 @@ CONFIG_METADATA_2 = {
                     },
                     "PPIO派欧云": {
                         "id": "ppio",
+                        "provider": "ppio",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -762,6 +768,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Kimi": {
                         "id": "moonshot",
+                        "provider": "moonshot",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -774,6 +781,7 @@ CONFIG_METADATA_2 = {
                     },
                     "智谱 AI": {
                         "id": "zhipu_default",
+                        "provider": "zhipu",
                         "type": "zhipu_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -786,6 +794,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Dify": {
                         "id": "dify_app_default",
+                        "provider": "dify",
                         "type": "dify",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -799,6 +808,7 @@ CONFIG_METADATA_2 = {
                     },
                     "阿里云百炼应用": {
                         "id": "dashscope",
+                        "provider": "dashscope",
                         "type": "dashscope",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -815,6 +825,7 @@ CONFIG_METADATA_2 = {
                     },
                     "FastGPT": {
                         "id": "fastgpt",
+                        "provider": "fastgpt",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
@@ -824,6 +835,7 @@ CONFIG_METADATA_2 = {
                     },
                     "Whisper(API)": {
                         "id": "whisper",
+                        "provider": "openai",
                         "type": "openai_whisper_api",
                         "provider_type": "speech_to_text",
                         "enable": False,
@@ -833,15 +845,17 @@ CONFIG_METADATA_2 = {
                     },
                     "Whisper(本地加载)": {
                         "whisper_hint": "(不用修改我)",
+                        "provider": "openai",
                         "type": "openai_whisper_selfhost",
                         "provider_type": "speech_to_text",
                         "enable": False,
-                        "id": "whisper",
+                        "id": "whisper_selfhost",
                         "model": "tiny",
                     },
                     "SenseVoice(本地加载)": {
                         "sensevoice_hint": "(不用修改我)",
                         "type": "sensevoice_stt_selfhost",
+                        "provider": "sensevoice",
                         "provider_type": "speech_to_text",
                         "enable": False,
                         "id": "sensevoice",
@@ -851,6 +865,7 @@ CONFIG_METADATA_2 = {
                     "OpenAI TTS(API)": {
                         "id": "openai_tts",
                         "type": "openai_tts_api",
+                        "provider": "openai",
                         "provider_type": "text_to_speech",
                         "enable": False,
                         "api_key": "",
@@ -862,6 +877,7 @@ CONFIG_METADATA_2 = {
                     "Edge TTS": {
                         "edgetts_hint": "提示：使用这个服务前需要安装有 ffmpeg，并且可以直接在终端调用 ffmpeg 指令。",
                         "id": "edge_tts",
+                        "provider": "microsoft",
                         "type": "edge_tts",
                         "provider_type": "text_to_speech",
                         "enable": False,
@@ -871,6 +887,7 @@ CONFIG_METADATA_2 = {
                     "GSV TTS(本地加载)": {
                         "id": "gsv_tts",
                         "enable": False,
+                        "provider": "gpt_sovits",
                         "type": "gsv_tts_selfhost",
                         "provider_type": "text_to_speech",
                         "api_base": "http://127.0.0.1:9880",
@@ -902,6 +919,7 @@ CONFIG_METADATA_2 = {
                     "GSVI TTS(API)": {
                         "id": "gsvi_tts",
                         "type": "gsvi_tts_api",
+                        "provider": "gpt_sovits_inference",
                         "provider_type": "text_to_speech",
                         "api_base": "http://127.0.0.1:5000",
                         "character": "",
@@ -911,6 +929,7 @@ CONFIG_METADATA_2 = {
                     },
                     "FishAudio TTS(API)": {
                         "id": "fishaudio_tts",
+                        "provider": "fishaudio",
                         "type": "fishaudio_tts_api",
                         "provider_type": "text_to_speech",
                         "enable": False,
@@ -921,6 +940,7 @@ CONFIG_METADATA_2 = {
                     },
                     "阿里云百炼 TTS(API)": {
                         "id": "dashscope_tts",
+                        "provider": "dashscope",
                         "type": "dashscope_tts",
                         "provider_type": "text_to_speech",
                         "enable": False,
@@ -932,6 +952,7 @@ CONFIG_METADATA_2 = {
                     "Azure TTS": {
                         "id": "azure_tts",
                         "type": "azure_tts",
+                        "provider": "azure",
                         "provider_type": "text_to_speech",
                         "enable": True,
                         "azure_tts_voice": "zh-CN-YunxiaNeural",
@@ -945,6 +966,7 @@ CONFIG_METADATA_2 = {
                     "MiniMax TTS(API)": {
                         "id": "minimax_tts",
                         "type": "minimax_tts_api",
+                        "provider": "minimax",
                         "provider_type": "text_to_speech",
                         "enable": False,
                         "api_key": "",
@@ -966,6 +988,7 @@ CONFIG_METADATA_2 = {
                     "火山引擎_TTS(API)": {
                         "id": "volcengine_tts",
                         "type": "volcengine_tts",
+                        "provider": "volcengine",
                         "provider_type": "text_to_speech",
                         "enable": False,
                         "api_key": "",
@@ -979,6 +1002,7 @@ CONFIG_METADATA_2 = {
                     "Gemini TTS": {
                         "id": "gemini_tts",
                         "type": "gemini_tts",
+                        "provider": "google",
                         "provider_type": "text_to_speech",
                         "enable": False,
                         "gemini_tts_api_key": "",
@@ -991,6 +1015,7 @@ CONFIG_METADATA_2 = {
                     "OpenAI Embedding": {
                         "id": "openai_embedding",
                         "type": "openai_embedding",
+                        "provider": "openai",
                         "provider_type": "embedding",
                         "enable": True,
                         "embedding_api_key": "",
@@ -1002,6 +1027,7 @@ CONFIG_METADATA_2 = {
                     "Gemini Embedding": {
                         "id": "gemini_embedding",
                         "type": "gemini_embedding",
+                        "provider": "google",
                         "provider_type": "embedding",
                         "enable": True,
                         "embedding_api_key": "",
@@ -1012,17 +1038,19 @@ CONFIG_METADATA_2 = {
                     },
                 },
                 "items": {
+                    "provider": {
+                        "type": "string",
+                        "invisible": True,
+                    },
                     "gpt_weights_path": {
                         "description": "GPT模型文件路径",
                         "type": "string",
                         "hint": "即“.ckpt”后缀的文件，请使用绝对路径，路径两端不要带双引号，不填则默认用GPT_SoVITS内置的SoVITS模型(建议直接在GPT_SoVITS中改默认模型)",
-                        "obvious_hint": True,
                     },
                     "sovits_weights_path": {
                         "description": "SoVITS模型文件路径",
                         "type": "string",
                         "hint": "即“.pth”后缀的文件，请使用绝对路径，路径两端不要带双引号，不填则默认用GPT_SoVITS内置的SoVITS模型(建议直接在GPT_SoVITS中改默认模型)",
-                        "obvious_hint": True,
                     },
                     "gsv_default_parms": {
                         "description": "GPT_SoVITS默认参数",
@@ -1033,13 +1061,11 @@ CONFIG_METADATA_2 = {
                                 "description": "参考音频文件路径",
                                 "type": "string",
                                 "hint": "必填！请使用绝对路径！路径两端不要带双引号！",
-                                "obvious_hint": True,
                             },
                             "gsv_prompt_text": {
                                 "description": "参考音频文本",
                                 "type": "string",
                                 "hint": "必填！请填写参考音频讲述的文本",
-                                "obvious_hint": True,
                             },
                             "gsv_prompt_lang": {
                                 "description": "参考音频文本语言",
@@ -1266,19 +1292,16 @@ CONFIG_METADATA_2 = {
                         "description": "启用原生搜索功能",
                         "type": "bool",
                         "hint": "启用后所有函数工具将全部失效，免费次数限制请查阅官方文档",
-                        "obvious_hint": True,
                     },
                     "gm_native_coderunner": {
                         "description": "启用原生代码执行器",
                         "type": "bool",
                         "hint": "启用后所有函数工具将全部失效",
-                        "obvious_hint": True,
                     },
                     "gm_url_context": {
                         "description": "启用URL上下文功能",
                         "type": "bool",
                         "hint": "启用后所有函数工具将全部失效",
-                        "obvious_hint": True,
                     },
                     "gm_safety_settings": {
                         "description": "安全过滤器",
@@ -1462,7 +1485,6 @@ CONFIG_METADATA_2 = {
                         "description": "部署SenseVoice",
                         "type": "string",
                         "hint": "启用前请 pip 安装 funasr、funasr_onnx、torchaudio、torch、modelscope、jieba 库（默认使用CPU，大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
-                        "obvious_hint": True,
                     },
                     "is_emotion": {
                         "description": "情绪识别",
@@ -1477,18 +1499,10 @@ CONFIG_METADATA_2 = {
                     "variables": {
                         "description": "工作流固定输入变量",
                         "type": "object",
-                        "obvious_hint": True,
                         "items": {},
                         "hint": "可选。工作流固定输入变量，将会作为工作流的输入。也可以在对话时使用 /set 指令动态设置变量。如果变量名冲突，优先使用动态设置的变量。",
                         "invisible": True,
                     },
-                    # "fastgpt_app_type": {
-                    #     "description": "应用类型",
-                    #     "type": "string",
-                    #     "hint": "FastGPT 应用的应用类型。",
-                    #     "options": ["agent", "workflow", "plugin"],
-                    #     "obvious_hint": True,
-                    # },
                     "dashscope_app_type": {
                         "description": "应用类型",
                         "type": "string",
@@ -1499,7 +1513,6 @@ CONFIG_METADATA_2 = {
                             "dialog-workflow",
                             "task-workflow",
                         ],
-                        "obvious_hint": True,
                     },
                     "timeout": {
                         "description": "超时时间",
@@ -1509,26 +1522,22 @@ CONFIG_METADATA_2 = {
                     "openai-tts-voice": {
                         "description": "voice",
                         "type": "string",
-                        "obvious_hint": True,
                         "hint": "OpenAI TTS 的声音。OpenAI 默认支持：'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'",
                     },
                     "fishaudio-tts-character": {
                         "description": "character",
                         "type": "string",
-                        "obvious_hint": True,
                         "hint": "fishaudio TTS 的角色。默认为可莉。更多角色请访问：https://fish.audio/zh-CN/discovery",
                     },
                     "whisper_hint": {
                         "description": "本地部署 Whisper 模型须知",
                         "type": "string",
                         "hint": "启用前请 pip 安装 openai-whisper 库（N卡用户大约下载 2GB，主要是 torch 和 cuda，CPU 用户大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
-                        "obvious_hint": True,
                     },
                     "id": {
                         "description": "ID",
                         "type": "string",
-                        "obvious_hint": True,
-                        "hint": "ID 不能和其它的服务提供商重复，否则将发生严重冲突。",
+                        "hint": "模型提供商名字。",
                     },
                     "type": {
                         "description": "模型提供商种类",
@@ -1543,53 +1552,27 @@ CONFIG_METADATA_2 = {
                     "enable": {
                         "description": "启用",
                         "type": "bool",
-                        "hint": "是否启用该模型。未启用的模型将不会被使用。",
+                        "hint": "是否启用。",
                     },
                     "key": {
                         "description": "API Key",
                         "type": "list",
                         "items": {"type": "string"},
-                        "hint": "API Key 列表。填写好后输入回车即可添加 API Key。支持多个 API Key。",
+                        "hint": "提供商 API Key。",
                     },
                     "api_base": {
                         "description": "API Base URL",
                         "type": "string",
-                        "hint": "API Base URL 请在在模型提供商处获得。如出现 404 报错，尝试在地址末尾加上 /v1",
-                        "obvious_hint": True,
-                    },
-                    "base_model_path": {
-                        "description": "基座模型路径",
-                        "type": "string",
-                        "hint": "基座模型路径。",
-                    },
-                    "adapter_model_path": {
-                        "description": "Adapter 模型路径",
-                        "type": "string",
-                        "hint": "Adapter 模型路径。如 Lora",
-                    },
-                    "llmtuner_template": {
-                        "description": "template",
-                        "type": "string",
-                        "hint": "基座模型的类型。如 llama3, qwen, 请参考 LlamaFactory 文档。",
-                    },
-                    "finetuning_type": {
-                        "description": "微调类型",
-                        "type": "string",
-                        "hint": "微调类型。如 `lora`",
-                    },
-                    "quantization_bit": {
-                        "description": "量化位数",
-                        "type": "int",
-                        "hint": "量化位数。如 4",
+                        "hint": "API Base URL 请在模型提供商处获得。如出现 404 报错，尝试在地址末尾加上 /v1",
                     },
                     "model_config": {
-                        "description": "文本生成模型",
+                        "description": "模型配置",
                         "type": "object",
                         "items": {
                             "model": {
                                 "description": "模型名称",
                                 "type": "string",
-                                "hint": "大语言模型的名称，一般是小写的英文。如 gpt-4o-mini, deepseek-chat 等。",
+                                "hint": "模型名称，如 gpt-4o-mini, deepseek-chat。",
                             },
                             "max_tokens": {
                                 "description": "模型最大输出长度（tokens）",
@@ -1636,7 +1619,6 @@ CONFIG_METADATA_2 = {
                         "description": "启用大语言模型聊天",
                         "type": "bool",
                         "hint": "如需切换大语言模型提供商，请使用 /provider 命令。",
-                        "obvious_hint": True,
                     },
                     "separate_provider": {
                         "description": "提供商会话隔离",
@@ -1656,13 +1638,11 @@ CONFIG_METADATA_2 = {
                     "web_search": {
                         "description": "启用网页搜索",
                         "type": "bool",
-                        "obvious_hint": True,
                         "hint": "能访问 Google 时效果最佳（国内需要在 `其他配置` 开启 HTTP 代理）。如果 Google 访问失败，程序会依次访问 Bing, Sogo 搜索引擎。",
                     },
                     "web_search_link": {
                         "description": "网页搜索引用链接",
                         "type": "bool",
-                        "obvious_hint": True,
                         "hint": "开启后，将会传入网页搜索结果的链接给模型，并引导模型输出引用链接。",
                     },
                     "display_reasoning_text": {
@@ -1673,13 +1653,11 @@ CONFIG_METADATA_2 = {
                     "identifier": {
                         "description": "启动识别群员",
                         "type": "bool",
-                        "obvious_hint": True,
                         "hint": "在 Prompt 前加上群成员的名字以让模型更好地了解群聊状态。启用将略微增加 token 开销。",
                     },
                     "datetime_system_prompt": {
                         "description": "启用日期时间系统提示",
                         "type": "bool",
-                        "obvious_hint": True,
                         "hint": "启用后，会在系统提示词中加上当前机器的日期时间。",
                     },
                     "default_personality": {
@@ -1736,7 +1714,6 @@ CONFIG_METADATA_2 = {
                         "description": "人格名称",
                         "type": "string",
                         "hint": "人格名称，用于在多个人格中区分。使用 /persona 指令可切换人格。在 大语言模型设置 处可以设置默认人格。",
-                        "obvious_hint": True,
                     },
                     "prompt": {
                         "description": "设定(系统提示词)",
@@ -1748,14 +1725,12 @@ CONFIG_METADATA_2 = {
                         "type": "list",
                         "items": {"type": "string"},
                         "hint": "可选。在每个对话前会插入这些预设对话。对话需要成对(用户和助手)，输入完一个角色的内容之后按【回车】。需要偶数个对话",
-                        "obvious_hint": True,
                     },
                     "mood_imitation_dialogs": {
                         "description": "对话风格模仿",
                         "type": "list",
                         "items": {"type": "string"},
                         "hint": "旨在让模型尽可能模仿学习到所填写的对话的语气风格。格式和 `预设对话` 一致。对话需要成对(用户和助手)，输入完一个角色的内容之后按【回车】。需要偶数个对话",
-                        "obvious_hint": True,
                     },
                 },
             },
@@ -1767,7 +1742,6 @@ CONFIG_METADATA_2 = {
                         "description": "启用语音转文本(STT)",
                         "type": "bool",
                         "hint": "启用前请在 服务提供商配置 处创建支持 语音转文本任务 的提供商。如 whisper。",
-                        "obvious_hint": True,
                     },
                     "provider_id": {
                         "description": "提供商 ID",
@@ -1784,7 +1758,6 @@ CONFIG_METADATA_2 = {
                         "description": "启用文本转语音(TTS)",
                         "type": "bool",
                         "hint": "启用前请在 服务提供商配置 处创建支持 语音转文本任务 的提供商。如 openai_tts。",
-                        "obvious_hint": True,
                     },
                     "provider_id": {
                         "description": "提供商 ID",
@@ -1795,7 +1768,6 @@ CONFIG_METADATA_2 = {
                         "description": "启用语音和文字双输出",
                         "type": "bool",
                         "hint": "启用后，Bot 将同时输出语音和文字消息。",
-                        "obvious_hint": True,
                     },
                     "use_file_service": {
                         "description": "使用文件服务提供 TTS 语音文件",
@@ -1811,25 +1783,21 @@ CONFIG_METADATA_2 = {
                     "group_icl_enable": {
                         "description": "群聊内记录各群员对话",
                         "type": "bool",
-                        "obvious_hint": True,
                         "hint": "启用后，会记录群聊内各群员的对话。使用 /reset 命令清除记录。推荐使用 gpt-4o-mini 模型。",
                     },
                     "group_message_max_cnt": {
                         "description": "群聊消息最大数量",
                         "type": "int",
-                        "obvious_hint": True,
                         "hint": "群聊消息最大数量。超过此数量后，会自动清除旧消息。",
                     },
                     "image_caption": {
                         "description": "群聊图像转述(需模型支持)",
                         "type": "bool",
-                        "obvious_hint": True,
                         "hint": "用模型将群聊中的图片消息转述为文字，推荐 gpt-4o-mini 模型。和机器人的唤醒聊天中的图片消息仍然会直接作为上下文输入。",
                     },
                     "image_caption_provider_id": {
                         "description": "图像转述提供商 ID",
                         "type": "string",
-                        "obvious_hint": True,
                         "hint": "可选。图像转述提供商 ID。如为空将选择聊天使用的提供商。",
                     },
                     "image_caption_prompt": {
@@ -1843,14 +1811,12 @@ CONFIG_METADATA_2 = {
                             "enable": {
                                 "description": "启用主动回复",
                                 "type": "bool",
-                                "obvious_hint": True,
                                 "hint": "启用后，会根据触发概率主动回复群聊内的对话。QQ官方API(qq_official)不可用",
                             },
                             "whitelist": {
                                 "description": "主动回复白名单",
                                 "type": "list",
                                 "items": {"type": "string"},
-                                "obvious_hint": True,
                                 "hint": "启用后，只有在白名单内的群聊会被主动回复。为空时不启用白名单过滤。需要通过 /sid 获取 SID 添加到这里。",
                             },
                             "method": {
@@ -1862,13 +1828,11 @@ CONFIG_METADATA_2 = {
                             "possibility_reply": {
                                 "description": "回复概率",
                                 "type": "float",
-                                "obvious_hint": True,
                                 "hint": "回复概率。当回复方法为 possibility_reply 时有效。当概率 >= 1 时，每条消息都会回复。",
                             },
                             "prompt": {
                                 "description": "提示词",
                                 "type": "string",
-                                "obvious_hint": True,
                                 "hint": "提示词。当提示词为空时，如果触发回复，则向 LLM 请求的是触发的消息的内容；否则是提示词。此项可以和定时回复（暂未实现）配合使用。",
                             },
                         },
@@ -1884,7 +1848,6 @@ CONFIG_METADATA_2 = {
                 "description": "机器人唤醒前缀",
                 "type": "list",
                 "items": {"type": "string"},
-                "obvious_hint": True,
                 "hint": "在不 @ 机器人的情况下，可以通过外加消息前缀来唤醒机器人。更改此配置将影响整个 Bot 的功能唤醒，包括所有指令。如果您不保留 `/`，则内置指令（help等）将需要通过您的唤醒前缀来触发。",
             },
             "t2i": {
@@ -1911,13 +1874,11 @@ CONFIG_METADATA_2 = {
             "timezone": {
                 "description": "时区",
                 "type": "string",
-                "obvious_hint": True,
                 "hint": "时区设置。请填写 IANA 时区名称, 如 Asia/Shanghai, 为空时使用系统默认时区。所有时区请查看: https://data.iana.org/time-zones/tzdb-2021a/zone1970.tab",
             },
             "callback_api_base": {
                 "description": "对外可达的回调接口地址",
                 "type": "string",
-                "obvious_hint": True,
                 "hint": "外部服务可能会通过 AstrBot 生成的回调链接（如文件下载链接）访问 AstrBot 后端。由于 AstrBot 无法自动判断部署环境中对外可达的主机地址（host），因此需要通过此配置项显式指定 “外部服务如何访问 AstrBot” 的地址。如 http://localhost:6185，https://example.com 等。",
             },
             "log_level": {
@@ -1965,90 +1926,3 @@ DEFAULT_VALUE_MAP = {
     "list": [],
     "object": {},
 }
-
-
-# "project_atri": {
-#     "description": "Project ATRI 配置",
-#     "type": "object",
-#     "items": {
-#         "enable": {"description": "启用", "type": "bool"},
-#         "long_term_memory": {
-#             "description": "长期记忆",
-#             "type": "object",
-#             "items": {
-#                 "enable": {"description": "启用", "type": "bool"},
-#                 "summary_threshold_cnt": {
-#                     "description": "摘要阈值",
-#                     "type": "int",
-#                     "hint": "当一个会话的对话记录数量超过该阈值时，会自动进行摘要。",
-#                 },
-#                 "embedding_provider_id": {
-#                     "description": "Embedding provider ID",
-#                     "type": "string",
-#                     "hint": "只有当启用了长期记忆时，才需要填写此项。将会使用指定的 provider 来获取 Embedding，请确保所填的 provider id 在 `配置页` 中存在并且设置了 Embedding 配置",
-#                     "obvious_hint": True,
-#                 },
-#                 "summarize_provider_id": {
-#                     "description": "Summary provider ID",
-#                     "type": "string",
-#                     "hint": "只有当启用了长期记忆时，才需要填写此项。将会使用指定的 provider 来获取 Summary，请确保所填的 provider id 在 `配置页` 中存在。",
-#                     "obvious_hint": True,
-#                 },
-#             },
-#         },
-#         "active_message": {
-#             "description": "主动消息",
-#             "type": "object",
-#             "items": {
-#                 "enable": {"description": "启用", "type": "bool"},
-#             },
-#         },
-#         "vision": {
-#             "description": "视觉理解",
-#             "type": "object",
-#             "items": {
-#                 "enable": {"description": "启用", "type": "bool"},
-#                 "provider_id_or_ofa_model_path": {
-#                     "description": "提供商 ID 或 OFA 模型路径",
-#                     "type": "string",
-#                     "hint": "将会使用指定的 provider 来进行视觉处理，请确保所填的 provider id 在 `配置页` 中存在。",
-#                 },
-#             },
-#         },
-#         "split_response": {
-#             "description": "是否分割回复",
-#             "type": "bool",
-#             "hint": "启用后，将会根据句子分割回复以更像人类回复。每次回复之间具有随机的时间间隔。默认启用。",
-#         },
-#         "persona": {
-#             "description": "人格",
-#             "type": "string",
-#             "hint": "默认人格。当启动 ATRI 之后，在 Provider 处设置的人格将会失效。",
-#             "obvious_hint": True,
-#         },
-#         "chat_provider_id": {
-#             "description": "Chat provider ID",
-#             "type": "string",
-#             "hint": "将会使用指定的 provider 来进行文本聊天，请确保所填的 provider id 在 `配置页` 中存在。",
-#             "obvious_hint": True,
-#         },
-#         "chat_base_model_path": {
-#             "description": "用于聊天的基座模型路径",
-#             "type": "string",
-#             "hint": "用于聊天的基座模型路径。当填写此项和 Lora 路径后，将会忽略上面设置的 Chat provider ID。",
-#             "obvious_hint": True,
-#         },
-#         "chat_adapter_model_path": {
-#             "description": "用于聊天的 Lora 模型路径",
-#             "type": "string",
-#             "hint": "Lora 模型路径。",
-#             "obvious_hint": True,
-#         },
-#         "quantization_bit": {
-#             "description": "量化位数",
-#             "type": "int",
-#             "hint": "模型量化位数。如果你不知道这是什么，请不要修改。默认为 4。",
-#             "obvious_hint": True,
-#         },
-#     },
-# },

astrbot/core/pipeline/process_stage/method/llm_request.py

@@ -166,6 +166,7 @@ class LLMRequestSubStage(Stage):
             event=event,
             pipeline_ctx=self.ctx,
         )
+        logger.debug(f"handle provider[id: {provider.provider_config['id']}] request: {req}")
         await tool_loop_agent.reset(req=req, streaming=self.streaming_response)
 
         async def requesting():
@@ -184,7 +185,8 @@ class LLMRequestSubStage(Stage):
                                 await event.send(resp.data["chain"])
                                 continue
                             # 对于其他情况，暂时先不处理
-                        if resp.type == "tool_call":
+                            continue
+                        elif resp.type == "tool_call":
                             if self.streaming_response:
                                 # 用来标记流式响应需要分节
                                 yield MessageChain(chain=[], type="break")

astrbot/core/pipeline/scheduler.py

@@ -73,7 +73,7 @@ class PipelineScheduler:
         await self._process_stages(event)
 
         # 如果没有发送操作, 则发送一个空消息, 以便于后续的处理
-        if not event._has_send_oper and event.get_platform_name() == "webchat":
+        if event.get_platform_name() == "webchat":
             await event.send(None)
 
         logger.debug("pipeline 执行完毕。")

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_message_event.py

@@ -1,7 +1,7 @@
 import asyncio
 import re
 from typing import AsyncGenerator, Dict, List
-from aiocqhttp import CQHttp
+from aiocqhttp import CQHttp, Event
 from astrbot.api.event import AstrMessageEvent, MessageChain
 from astrbot.api.message_components import (
     Image,
@@ -58,50 +58,85 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
             ret.append(d)
         return ret
 
-    async def send(self, message: MessageChain):
+    @classmethod
+    async def _dispatch_send(
+        cls,
+        bot: CQHttp,
+        event: Event | None,
+        is_group: bool,
+        session_id: str,
+        messages: list[dict],
+    ):
+        if event:
+            await bot.send(event=event, message=messages)
+        elif is_group:
+            await bot.send_group_msg(group_id=session_id, message=messages)
+        else:
+            await bot.send_private_msg(user_id=session_id, message=messages)
+
+    @classmethod
+    async def send_message(
+        cls,
+        bot: CQHttp,
+        message_chain: MessageChain,
+        event: Event | None = None,
+        is_group: bool = False,
+        session_id: str = None,
+    ):
+        """发送消息"""
+
         # 转发消息、文件消息不能和普通消息混在一起发送
         send_one_by_one = any(
-            isinstance(seg, (Node, Nodes, File)) for seg in message.chain
+            isinstance(seg, (Node, Nodes, File)) for seg in message_chain.chain
         )
-        if send_one_by_one:
-            for seg in message.chain:
-                if isinstance(seg, (Node, Nodes)):
-                    # 合并转发消息
-
-                    if isinstance(seg, Node):
-                        nodes = Nodes([seg])
-                        seg = nodes
-
-                    payload = await seg.to_dict()
-
-                    if self.get_group_id():
-                        payload["group_id"] = self.get_group_id()
-                        await self.bot.call_action("send_group_forward_msg", **payload)
-                    else:
-                        payload["user_id"] = self.get_sender_id()
-                        await self.bot.call_action(
-                            "send_private_forward_msg", **payload
-                        )
-                elif isinstance(seg, File):
-                    d = await AiocqhttpMessageEvent._from_segment_to_dict(seg)
-                    await self.bot.send(
-                        self.message_obj.raw_message,
-                        [d],
-                    )
-                else:
-                    await self.bot.send(
-                        self.message_obj.raw_message,
-                        await AiocqhttpMessageEvent._parse_onebot_json(
-                            MessageChain([seg])
-                        ),
-                    )
-                    await asyncio.sleep(0.5)
-        else:
-            ret = await AiocqhttpMessageEvent._parse_onebot_json(message)
+        if not send_one_by_one:
+            ret = await cls._parse_onebot_json(message_chain)
             if not ret:
                 return
-            await self.bot.send(self.message_obj.raw_message, ret)
+            await cls._dispatch_send(bot, event, is_group, session_id, ret)
+            return
+        for seg in message_chain.chain:
+            if isinstance(seg, (Node, Nodes)):
+                # 合并转发消息
+                if isinstance(seg, Node):
+                    nodes = Nodes([seg])
+                    seg = nodes
 
+                payload = await seg.to_dict()
+
+                if is_group:
+                    payload["group_id"] = session_id
+                    await bot.call_action("send_group_forward_msg", **payload)
+                else:
+                    payload["user_id"] = session_id
+                    await bot.call_action("send_private_forward_msg", **payload)
+            elif isinstance(seg, File):
+                d = await cls._from_segment_to_dict(seg)
+                await cls._dispatch_send(bot, event, is_group, session_id, [d])
+            else:
+                messages = await cls._parse_onebot_json(MessageChain([seg]))
+                if not messages:
+                    continue
+                await cls._dispatch_send(bot, event, is_group, session_id, messages)
+                await asyncio.sleep(0.5)
+
+    async def send(self, message: MessageChain):
+        """发送消息"""
+        event = self.message_obj.raw_message
+        assert isinstance(event, Event), "Event must be an instance of aiocqhttp.Event"
+        is_group = False
+        if self.get_group_id():
+            is_group = True
+            session_id = self.get_group_id()
+        else:
+            session_id = self.get_sender_id()
+        await self.send_message(
+            bot=self.bot,
+            message_chain=message,
+            event=event,
+            is_group=is_group,
+            session_id=session_id,
+        )
         await super().send(message)
 
     async def send_streaming(

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_platform_adapter.py

@@ -83,19 +83,18 @@ class AiocqhttpAdapter(Platform):
     async def send_by_session(
         self, session: MessageSesion, message_chain: MessageChain
     ):
-        ret = await AiocqhttpMessageEvent._parse_onebot_json(message_chain)
-        match session.message_type.value:
-            case MessageType.GROUP_MESSAGE.value:
-                if "_" in session.session_id:
-                    # 独立会话
-                    _, group_id = session.session_id.split("_")
-                    await self.bot.send_group_msg(group_id=group_id, message=ret)
-                else:
-                    await self.bot.send_group_msg(
-                        group_id=session.session_id, message=ret
-                    )
-            case MessageType.FRIEND_MESSAGE.value:
-                await self.bot.send_private_msg(user_id=session.session_id, message=ret)
+        is_group = session.message_type == MessageType.GROUP_MESSAGE
+        if is_group:
+            session_id = session.session_id.split("_")[-1]
+        else:
+            session_id = session.session_id
+        await AiocqhttpMessageEvent.send_message(
+            bot=self.bot,
+            message_chain=message_chain,
+            event=None,  # 这里不需要 event，因为是通过 session 发送的
+            is_group=is_group,
+            session_id=session_id,
+        )
         await super().send_by_session(session, message_chain)
 
     async def convert_message(self, event: Event) -> AstrBotMessage:
@@ -307,7 +306,9 @@ class AiocqhttpAdapter(Platform):
                             user_id=int(m["data"]["qq"]),
                         )
                         if at_info:
-                            nickname = at_info.get("nick", "") or at_info.get("nickname", "")
+                            nickname = at_info.get("nick", "") or at_info.get(
+                                "nickname", ""
+                            )
                             is_at_self = str(m["data"]["qq"]) in {abm.self_id, "all"}
 
                             abm.message.append(

astrbot/core/platform/sources/webchat/webchat_event.py

@@ -22,7 +22,11 @@ class WebChatMessageEvent(AstrMessageEvent):
         web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
         if not message:
             await web_chat_back_queue.put(
-                {"type": "end", "data": "", "streaming": False}
+                {
+                    "type": "end",
+                    "data": "",
+                    "streaming": False,
+                }  # end means this request is finished
             )
             return ""
 
@@ -99,16 +103,6 @@ class WebChatMessageEvent(AstrMessageEvent):
 
     async def send(self, message: MessageChain):
         await WebChatMessageEvent._send(message, session_id=self.session_id)
-        cid = self.session_id.split("!")[-1]
-        web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
-        await web_chat_back_queue.put(
-            {
-                "type": "end",
-                "data": "",
-                "streaming": False,
-                "cid": cid,
-            }
-        )
         await super().send(message)
 
     async def send_streaming(self, generator, use_fallback: bool = False):
@@ -120,7 +114,7 @@ class WebChatMessageEvent(AstrMessageEvent):
                 # 分割符
                 await web_chat_back_queue.put(
                     {
-                        "type": "end",
+                        "type": "break",  # break means a segment end
                         "data": final_data,
                         "streaming": True,
                         "cid": cid,
@@ -134,7 +128,7 @@ class WebChatMessageEvent(AstrMessageEvent):
 
         await web_chat_back_queue.put(
             {
-                "type": "end",
+                "type": "complete",  # complete means we return the final result
                 "data": final_data,
                 "streaming": True,
                 "cid": cid,

astrbot/core/provider/manager.py

@@ -7,7 +7,7 @@ from astrbot.core.config.astrbot_config import AstrBotConfig
 from astrbot.core.db import BaseDatabase
 
 from .entities import ProviderType
-from .provider import Personality, Provider, STTProvider, TTSProvider
+from .provider import Personality, Provider, STTProvider, TTSProvider, EmbeddingProvider
 from .register import llm_tools, provider_cls_map
 
 
@@ -93,7 +93,7 @@ class ProviderManager:
         """加载的 Speech To Text Provider 的实例"""
         self.tts_provider_insts: List[TTSProvider] = []
         """加载的 Text To Speech Provider 的实例"""
-        self.embedding_provider_insts: List[Provider] = []
+        self.embedding_provider_insts: List[EmbeddingProvider] = []
         """加载的 Embedding Provider 的实例"""
         self.inst_map: dict[str, Provider] = {}
         """Provider 实例映射. key: provider_id, value: Provider 实例"""

astrbot/core/provider/sources/openai_source.py

@@ -482,13 +482,8 @@ class ProviderOpenAIOfficial(Provider):
         """
         new_contexts = []
 
-        flag = False
         for context in contexts:
-            if flag:
-                flag = False  # 删除 image 后，下一条（LLM 响应）也要删除
-                continue
             if "content" in context and isinstance(context["content"], list):
-                flag = True
                 # continue
                 new_content = []
                 for item in context["content"]:

astrbot/core/star/__init__.py

@@ -1,4 +1,4 @@
-from .star import StarMetadata, star_map
+from .star import StarMetadata, star_map, star_registry
 from .star_manager import PluginManager
 from .context import Context
 from astrbot.core.provider import Provider
@@ -16,11 +16,16 @@ class Star(CommandParserMixin):
 
     def __init_subclass__(cls, **kwargs):
         super().__init_subclass__(**kwargs)
-        metadata = StarMetadata(
-            star_cls_type=cls,
-            module_path=cls.__module__,
-        )
-        star_map[cls.__module__] = metadata
+        if not star_map.get(cls.__module__):
+            metadata = StarMetadata(
+                star_cls_type=cls,
+                module_path=cls.__module__,
+            )
+            star_map[cls.__module__] = metadata
+            star_registry.append(metadata)
+        else:
+            star_map[cls.__module__].star_cls_type = cls
+            star_map[cls.__module__].module_path = cls.__module__
 
     @staticmethod
     async def text_to_image(text: str, return_url=True) -> str:

astrbot/core/star/context.py

@@ -2,7 +2,7 @@ from asyncio import Queue
 from typing import List, Union
 
 from astrbot.core import sp
-from astrbot.core.provider.provider import Provider, TTSProvider, STTProvider
+from astrbot.core.provider.provider import Provider, TTSProvider, STTProvider, EmbeddingProvider
 from astrbot.core.provider.entities import ProviderType
 from astrbot.core.db import BaseDatabase
 from astrbot.core.config.astrbot_config import AstrBotConfig
@@ -141,6 +141,10 @@ class Context:
         """获取所有用于 STT 任务的 Provider。"""
         return self.provider_manager.stt_provider_insts
 
+    def get_all_embedding_providers(self) -> List[EmbeddingProvider]:
+        """获取所有用于 Embedding 任务的 Provider。"""
+        return self.provider_manager.embedding_provider_insts
+
     def get_using_provider(self, umo: str = None) -> Provider:
         """
         获取当前使用的用于文本生成任务的 LLM Provider(Chat_Completion 类型)。通过 /provider 指令切换。

astrbot/core/star/register/star.py

@@ -1,5 +1,7 @@
 import warnings
 
+from astrbot.core.star import StarMetadata, star_map
+
 _warned_register_star = False
 
 
@@ -37,6 +39,22 @@ def register_star(name: str, author: str, desc: str, version: str, repo: str = N
         )
 
     def decorator(cls):
+        if not star_map.get(cls.__module__):
+            metadata = StarMetadata(
+                name=name,
+                author=author,
+                desc=desc,
+                version=version,
+                repo=repo,
+            )
+            star_map[cls.__module__] = metadata
+        else:
+            star_map[cls.__module__].name = name
+            star_map[cls.__module__].author = author
+            star_map[cls.__module__].desc = desc
+            star_map[cls.__module__].version = version
+            star_map[cls.__module__].repo = repo
+
         return cls
 
     return decorator

astrbot/core/star/star.py

@@ -56,7 +56,10 @@ class StarMetadata:
     """插件支持的平台ID字典，key为平台ID，value为是否支持"""
 
     def __str__(self) -> str:
-        return f"StarMetadata({self.name}, {self.desc}, {self.version}, {self.repo})"
+        return f"Plugin {self.name} ({self.version}) by {self.author}: {self.desc}"
+
+    def __repr__(self) -> str:
+        return f"Plugin {self.name} ({self.version}) by {self.author}: {self.desc}"
 
     def update_platform_compatibility(self, plugin_enable_config: dict) -> None:
         """更新插件支持的平台列表

astrbot/core/star/star_manager.py

@@ -36,12 +36,6 @@ except ImportError:
     if os.getenv("ASTRBOT_RELOAD", "0") == "1":
         logger.warning("未安装 watchfiles，无法实现插件的热重载。")
 
-try:
-    import nh3
-except ImportError:
-    logger.warning("未安装 nh3 库，无法清理插件 README.md 中的 HTML 标签。")
-    nh3 = None
-
 
 class PluginManager:
     def __init__(self, context: Context, config: AstrBotConfig):
@@ -63,6 +57,8 @@ class PluginManager:
         """保留插件的路径。在 packages 目录下"""
         self.conf_schema_fname = "_conf_schema.json"
         """插件配置 Schema 文件名"""
+        self._pm_lock = asyncio.Lock()
+        """StarManager操作互斥锁"""
 
         self.failed_plugin_info = ""
         if os.getenv("ASTRBOT_RELOAD", "0") == "1":
@@ -192,9 +188,9 @@ class PluginManager:
 
     @staticmethod
     def _load_plugin_metadata(plugin_path: str, plugin_obj=None) -> StarMetadata:
-        """v3.4.0 以前的方式载入插件元数据
+        """先寻找 metadata.yaml 文件，如果不存在，则使用插件对象的 info() 函数获取元数据。
 
-        先寻找 metadata.yaml 文件，如果不存在，则使用插件对象的 info() 函数获取元数据。
+        Notes: 旧版本 AstrBot 插件可能使用的是 info() 函数来获取元数据。
         """
         metadata = None
 
@@ -206,11 +202,14 @@ class PluginManager:
                 os.path.join(plugin_path, "metadata.yaml"), "r", encoding="utf-8"
             ) as f:
                 metadata = yaml.safe_load(f)
-        elif plugin_obj:
+        elif plugin_obj and hasattr(plugin_obj, "info"):
             # 使用 info() 函数
             metadata = plugin_obj.info()
 
         if isinstance(metadata, dict):
+            if "desc" not in metadata and "description" in metadata:
+                metadata["desc"] = metadata["description"]
+
             if (
                 "name" not in metadata
                 or "desc" not in metadata
@@ -296,50 +295,51 @@ class PluginManager:
                 - success (bool): 重载是否成功
                 - error_message (str|None): 错误信息，成功时为 None
         """
-        specified_module_path = None
-        if specified_plugin_name:
-            for smd in star_registry:
-                if smd.name == specified_plugin_name:
-                    specified_module_path = smd.module_path
-                    break
+        async with self._pm_lock:
+            specified_module_path = None
+            if specified_plugin_name:
+                for smd in star_registry:
+                    if smd.name == specified_plugin_name:
+                        specified_module_path = smd.module_path
+                        break
 
-        # 终止插件
-        if not specified_module_path:
-            # 重载所有插件
-            for smd in star_registry:
-                try:
-                    await self._terminate_plugin(smd)
-                except Exception as e:
-                    logger.warning(traceback.format_exc())
-                    logger.warning(
-                        f"插件 {smd.name} 未被正常终止: {str(e)}, 可能会导致该插件运行不正常。"
-                    )
+            # 终止插件
+            if not specified_module_path:
+                # 重载所有插件
+                for smd in star_registry:
+                    try:
+                        await self._terminate_plugin(smd)
+                    except Exception as e:
+                        logger.warning(traceback.format_exc())
+                        logger.warning(
+                            f"插件 {smd.name} 未被正常终止: {str(e)}, 可能会导致该插件运行不正常。"
+                        )
 
-                await self._unbind_plugin(smd.name, smd.module_path)
+                    await self._unbind_plugin(smd.name, smd.module_path)
 
-            star_handlers_registry.clear()
-            star_map.clear()
-            star_registry.clear()
-        else:
-            # 只重载指定插件
-            smd = star_map.get(specified_module_path)
-            if smd:
-                try:
-                    await self._terminate_plugin(smd)
-                except Exception as e:
-                    logger.warning(traceback.format_exc())
-                    logger.warning(
-                        f"插件 {smd.name} 未被正常终止: {str(e)}, 可能会导致该插件运行不正常。"
-                    )
+                star_handlers_registry.clear()
+                star_map.clear()
+                star_registry.clear()
+            else:
+                # 只重载指定插件
+                smd = star_map.get(specified_module_path)
+                if smd:
+                    try:
+                        await self._terminate_plugin(smd)
+                    except Exception as e:
+                        logger.warning(traceback.format_exc())
+                        logger.warning(
+                            f"插件 {smd.name} 未被正常终止: {str(e)}, 可能会导致该插件运行不正常。"
+                        )
 
-                await self._unbind_plugin(smd.name, specified_module_path)
+                    await self._unbind_plugin(smd.name, specified_module_path)
 
-        result = await self.load(specified_module_path)
+            result = await self.load(specified_module_path)
 
-        # 更新所有插件的平台兼容性
-        await self.update_all_platform_compatibility()
+            # 更新所有插件的平台兼容性
+            await self.update_all_platform_compatibility()
 
-        return result
+            return result
 
     async def update_all_platform_compatibility(self):
         """更新所有插件的平台兼容性设置"""
@@ -438,7 +438,7 @@ class PluginManager:
                         )
 
                 if path in star_map:
-                    # 通过__init__subclass__注册插件
+                    # 通过 __init__subclass__ 注册插件
                     metadata = star_map[path]
 
                     try:
@@ -452,8 +452,11 @@ class PluginManager:
                             metadata.desc = metadata_yaml.desc
                             metadata.version = metadata_yaml.version
                             metadata.repo = metadata_yaml.repo
-                    except Exception:
-                        pass
+                    except Exception as e:
+                        logger.warning(
+                            f"插件 {root_dir_name} 元数据载入失败: {str(e)}。使用默认元数据。"
+                        )
+                    logger.info(metadata)
                     metadata.config = plugin_config
                     if path not in inactivated_plugins:
                         # 只有没有禁用插件时才实例化插件类
@@ -507,8 +510,6 @@ class PluginManager:
                         if func_tool.name in inactivated_llm_tools:
                             func_tool.active = False
 
-                    star_registry.append(metadata)
-
                 else:
                     # v3.4.0 以前的方式注册插件
                     logger.debug(
@@ -627,43 +628,45 @@ class PluginManager:
                 - readme: README.md 文件的内容(如果存在)
                 如果找不到插件元数据则返回 None。
         """
-        plugin_path = await self.updator.install(repo_url, proxy)
-        # reload the plugin
-        dir_name = os.path.basename(plugin_path)
-        await self.load(specified_dir_name=dir_name)
+        async with self._pm_lock:
+            plugin_path = await self.updator.install(repo_url, proxy)
+            # reload the plugin
+            dir_name = os.path.basename(plugin_path)
+            await self.load(specified_dir_name=dir_name)
 
-        # Get the plugin metadata to return repo info
-        plugin = self.context.get_registered_star(dir_name)
-        if not plugin:
-            # Try to find by other name if directory name doesn't match plugin name
-            for star in self.context.get_all_stars():
-                if star.root_dir_name == dir_name:
-                    plugin = star
-                    break
+            # Get the plugin metadata to return repo info
+            plugin = self.context.get_registered_star(dir_name)
+            if not plugin:
+                # Try to find by other name if directory name doesn't match plugin name
+                for star in self.context.get_all_stars():
+                    if star.root_dir_name == dir_name:
+                        plugin = star
+                        break
 
-        # Extract README.md content if exists
-        readme_content = None
-        readme_path = os.path.join(plugin_path, "README.md")
-        if not os.path.exists(readme_path):
-            readme_path = os.path.join(plugin_path, "readme.md")
+            # Extract README.md content if exists
+            readme_content = None
+            readme_path = os.path.join(plugin_path, "README.md")
+            if not os.path.exists(readme_path):
+                readme_path = os.path.join(plugin_path, "readme.md")
 
-        if os.path.exists(readme_path) and nh3:
-            try:
-                with open(readme_path, "r", encoding="utf-8") as f:
-                    readme_content = f.read()
-                cleaned_content = nh3.clean(readme_content)
-            except Exception as e:
-                logger.warning(f"读取插件 {dir_name} 的 README.md 文件失败: {str(e)}")
+            if os.path.exists(readme_path):
+                try:
+                    with open(readme_path, "r", encoding="utf-8") as f:
+                        readme_content = f.read()
+                except Exception as e:
+                    logger.warning(
+                        f"读取插件 {dir_name} 的 README.md 文件失败: {str(e)}"
+                    )
 
-        plugin_info = None
-        if plugin:
-            plugin_info = {
-                "repo": plugin.repo,
-                "readme": cleaned_content,
-                "name": plugin.name,
-            }
+            plugin_info = None
+            if plugin:
+                plugin_info = {
+                    "repo": plugin.repo,
+                    "readme": readme_content,
+                    "name": plugin.name,
+                }
 
-        return plugin_info
+            return plugin_info
 
     async def uninstall_plugin(self, plugin_name: str):
         """卸载指定的插件。
@@ -674,32 +677,33 @@ class PluginManager:
         Raises:
             Exception: 当插件不存在、是保留插件时，或删除插件文件夹失败时抛出异常
         """
-        plugin = self.context.get_registered_star(plugin_name)
-        if not plugin:
-            raise Exception("插件不存在。")
-        if plugin.reserved:
-            raise Exception("该插件是 AstrBot 保留插件，无法卸载。")
-        root_dir_name = plugin.root_dir_name
-        ppath = self.plugin_store_path
+        async with self._pm_lock:
+            plugin = self.context.get_registered_star(plugin_name)
+            if not plugin:
+                raise Exception("插件不存在。")
+            if plugin.reserved:
+                raise Exception("该插件是 AstrBot 保留插件，无法卸载。")
+            root_dir_name = plugin.root_dir_name
+            ppath = self.plugin_store_path
 
-        # 终止插件
-        try:
-            await self._terminate_plugin(plugin)
-        except Exception as e:
-            logger.warning(traceback.format_exc())
-            logger.warning(
-                f"插件 {plugin_name} 未被正常终止 {str(e)}, 可能会导致资源泄露等问题。"
-            )
+            # 终止插件
+            try:
+                await self._terminate_plugin(plugin)
+            except Exception as e:
+                logger.warning(traceback.format_exc())
+                logger.warning(
+                    f"插件 {plugin_name} 未被正常终止 {str(e)}, 可能会导致资源泄露等问题。"
+                )
 
-        # 从 star_registry 和 star_map 中删除
-        await self._unbind_plugin(plugin_name, plugin.module_path)
+            # 从 star_registry 和 star_map 中删除
+            await self._unbind_plugin(plugin_name, plugin.module_path)
 
-        try:
-            remove_dir(os.path.join(ppath, root_dir_name))
-        except Exception as e:
-            raise Exception(
-                f"移除插件成功，但是删除插件文件夹失败: {str(e)}。您可以手动删除该文件夹，位于 addons/plugins/ 下。"
-            )
+            try:
+                remove_dir(os.path.join(ppath, root_dir_name))
+            except Exception as e:
+                raise Exception(
+                    f"移除插件成功，但是删除插件文件夹失败: {str(e)}。您可以手动删除该文件夹，位于 addons/plugins/ 下。"
+                )
 
     async def _unbind_plugin(self, plugin_name: str, plugin_module_path: str):
         """解绑并移除一个插件。
@@ -752,33 +756,34 @@ class PluginManager:
         将插件的 module_path 加入到 data/shared_preferences.json 的 inactivated_plugins 列表中。
         并且同时将插件启用的 llm_tool 禁用。
         """
-        plugin = self.context.get_registered_star(plugin_name)
-        if not plugin:
-            raise Exception("插件不存在。")
+        async with self._pm_lock:
+            plugin = self.context.get_registered_star(plugin_name)
+            if not plugin:
+                raise Exception("插件不存在。")
 
-        # 调用插件的终止方法
-        await self._terminate_plugin(plugin)
+            # 调用插件的终止方法
+            await self._terminate_plugin(plugin)
 
-        # 加入到 shared_preferences 中
-        inactivated_plugins: list = sp.get("inactivated_plugins", [])
-        if plugin.module_path not in inactivated_plugins:
-            inactivated_plugins.append(plugin.module_path)
+            # 加入到 shared_preferences 中
+            inactivated_plugins: list = sp.get("inactivated_plugins", [])
+            if plugin.module_path not in inactivated_plugins:
+                inactivated_plugins.append(plugin.module_path)
 
-        inactivated_llm_tools: list = list(
-            set(sp.get("inactivated_llm_tools", []))
-        )  # 后向兼容
+            inactivated_llm_tools: list = list(
+                set(sp.get("inactivated_llm_tools", []))
+            )  # 后向兼容
 
-        # 禁用插件启用的 llm_tool
-        for func_tool in llm_tools.func_list:
-            if func_tool.handler_module_path == plugin.module_path:
-                func_tool.active = False
-                if func_tool.name not in inactivated_llm_tools:
-                    inactivated_llm_tools.append(func_tool.name)
+            # 禁用插件启用的 llm_tool
+            for func_tool in llm_tools.func_list:
+                if func_tool.handler_module_path == plugin.module_path:
+                    func_tool.active = False
+                    if func_tool.name not in inactivated_llm_tools:
+                        inactivated_llm_tools.append(func_tool.name)
 
-        sp.put("inactivated_plugins", inactivated_plugins)
-        sp.put("inactivated_llm_tools", inactivated_llm_tools)
+            sp.put("inactivated_plugins", inactivated_plugins)
+            sp.put("inactivated_llm_tools", inactivated_llm_tools)
 
-        plugin.activated = False
+            plugin.activated = False
 
     @staticmethod
     async def _terminate_plugin(star_metadata: StarMetadata):

astrbot/dashboard/routes/chat.py

@@ -166,15 +166,12 @@ class ChatRoute(Route):
                     type = result.get("type")
                     cid = result.get("cid")
                     streaming = result.get("streaming", False)
-                    chain_type = result.get("chain_type")
                     yield f"data: {json.dumps(result, ensure_ascii=False)}\n\n"
                     await asyncio.sleep(0.05)
 
-                    if streaming and type != "end":
-                        # If the result is still streaming, we continue to wait for more data
-                        continue
-
-                    if result_text:
+                    if type == "end":
+                        break
+                    elif (streaming and type == "complete") or not streaming:
                         # append bot message
                         conversation = self.db.get_conversation_by_user_id(
                             username, cid
@@ -188,10 +185,6 @@ class ChatRoute(Route):
                         self.db.update_conversation(
                             username, cid, history=json.dumps(history)
                         )
-                        if chain_type not in ["tool_call", "tool_call_result"]:
-                            # If the result is not a tool call or tool call result,
-                            # we can break the loop and end the stream
-                            break
 
             except BaseException as _:
                 logger.debug(f"用户 {username} 断开聊天长连接。")

astrbot/dashboard/routes/conversation.py

@@ -166,7 +166,7 @@ class ConversationRoute(Route):
 
             if not user_id or not cid:
                 return Response().error("缺少必要参数: user_id 和 cid").__dict__
-            self.core_lifecycle.conversation_manager.delete_conversation(
+            await self.core_lifecycle.conversation_manager.delete_conversation(
                 unified_msg_origin=user_id, conversation_id=cid
             )
             return Response().ok({"message": "对话删除成功"}).__dict__

astrbot/dashboard/routes/plugin.py

@@ -18,12 +18,6 @@ from astrbot.core.star.filter.regex import RegexFilter
 from astrbot.core.star.star_handler import EventType
 from astrbot.core import DEMO_MODE
 
-try:
-    import nh3
-except ImportError:
-    logger.warning("未安装 nh3 库，无法清理插件 README.md 中的 HTML 标签。")
-    nh3 = None
-
 
 class PluginRoute(Route):
     def __init__(
@@ -332,9 +326,6 @@ class PluginRoute(Route):
             return Response().error(str(e)).__dict__
 
     async def get_plugin_readme(self):
-        if not nh3:
-            return Response().error("未安装 nh3 库").__dict__
-
         plugin_name = request.args.get("name")
         logger.debug(f"正在获取插件 {plugin_name} 的README文件内容")
 
@@ -370,11 +361,9 @@ class PluginRoute(Route):
             with open(readme_path, "r", encoding="utf-8") as f:
                 readme_content = f.read()
 
-            cleaned_content = nh3.clean(readme_content)
-
             return (
                 Response()
-                .ok({"content": cleaned_content}, "成功获取README内容")
+                .ok({"content": readme_content}, "成功获取README内容")
                 .__dict__
             )
         except Exception as e:
@@ -395,12 +384,14 @@ class PluginRoute(Route):
                 platform_type = platform.get("type", "")
                 platform_id = platform.get("id", "")
 
-                platforms.append({
-                    "name": platform_id,  # 使用type作为name，这是系统内部使用的平台名称
-                    "id": platform_id,  # 保留id字段以便前端可以显示
-                    "type": platform_type,
-                    "display_name": f"{platform_type}({platform_id})",
-                })
+                platforms.append(
+                    {
+                        "name": platform_id,  # 使用type作为name，这是系统内部使用的平台名称
+                        "id": platform_id,  # 保留id字段以便前端可以显示
+                        "type": platform_type,
+                        "display_name": f"{platform_type}({platform_id})",
+                    }
+                )
 
             adjusted_platform_enable = {}
             for platform_id, plugins in platform_enable.items():
@@ -409,11 +400,13 @@ class PluginRoute(Route):
             # 获取所有插件，包括系统内部插件
             plugins = []
             for plugin in self.plugin_manager.context.get_all_stars():
-                plugins.append({
-                    "name": plugin.name,
-                    "desc": plugin.desc,
-                    "reserved": plugin.reserved,  # 添加reserved标志
-                })
+                plugins.append(
+                    {
+                        "name": plugin.name,
+                        "desc": plugin.desc,
+                        "reserved": plugin.reserved,  # 添加reserved标志
+                    }
+                )
 
             logger.debug(
                 f"获取插件平台配置: 原始配置={platform_enable}, 调整后={adjusted_platform_enable}"
@@ -421,11 +414,13 @@ class PluginRoute(Route):
 
             return (
                 Response()
-                .ok({
-                    "platforms": platforms,
-                    "plugins": plugins,
-                    "platform_enable": adjusted_platform_enable,
-                })
+                .ok(
+                    {
+                        "platforms": platforms,
+                        "plugins": plugins,
+                        "platform_enable": adjusted_platform_enable,
+                    }
+                )
                 .__dict__
             )
         except Exception as e:

changelogs/v3.5.20.md

@@ -0,0 +1,6 @@
+# What's Changed
+
+1. 修复: 工具调用的结果错误地被当作消息发送
+2. 新增: 支持对引用消息中的图片进行理解(QQ, Telegram)
+3. 优化: QQ 主动消息发送逻辑，优化合并消息、文件、语音、图片等的处理
+4. 优化: 移除插件的 @register 插件注册装饰器（插件只需要继承 Star 类即可，AstrBot 会自动处理），简化插件代码开发

changelogs/v3.5.21.md

@@ -0,0 +1,7 @@
+# What's Changed
+
+1. 修复: WebChat 下图片、音频消息没有被正确渲染
+2. 修复: 部分情况下，插件信息无法正确显示
+3. 修复: WebChat 下开启分段回复后，消息错位
+4. 优化: 提高插件加载的性能和稳定性
+5. 修复: WebUI 对话数据库页中，无法真正删除对话

changelogs/v3.5.22.md

@@ -0,0 +1,3 @@
+# What's Changed
+
+1. 修复: 用户环境没有 Docker 时，可能导致死锁（表现为在初始化 AstrBot 的时候卡住）

dashboard/src/components/shared/ItemCard.vue

@@ -47,7 +47,6 @@
         contain
         width="120"
         height="120"
-        class="rounded-circle"
       ></v-img>
     </div>
   </v-card>

dashboard/src/views/ChatPage.vue

@@ -171,14 +171,33 @@
                                     </div>
                                 </div>
 
-                                <!-- 机器人消息 -->
+                                <!-- Bot Messages -->
                                 <div v-else class="bot-message">
                                     <v-avatar class="bot-avatar" size="36">
                                         <span class="text-h2">✨</span>
                                     </v-avatar>
                                     <div class="bot-message-content">
                                         <div class="message-bubble bot-bubble">
-                                            <div v-html="md.render(msg.message)" class="markdown-content"></div>
+                                            <!-- Text -->
+                                            <div v-if="msg.message && msg.message.trim()" 
+                                                 v-html="md.render(msg.message)" 
+                                                 class="markdown-content"></div>
+                                            
+                                            <!-- Image -->
+                                            <div class="embedded-images" v-if="msg.embedded_images && msg.embedded_images.length > 0">
+                                                <div v-for="(img, imgIndex) in msg.embedded_images" :key="imgIndex"
+                                                     class="embedded-image">
+                                                    <img :src="img" class="bot-embedded-image" @click="openImagePreview(img)" />
+                                                </div>
+                                            </div>
+                                            
+                                            <!-- Audio -->
+                                            <div class="embedded-audio" v-if="msg.embedded_audio">
+                                                <audio controls class="audio-player">
+                                                    <source :src="msg.embedded_audio" type="audio/wav">
+                                                    {{ t('messages.errors.browser.audioNotSupported') }}
+                                                </audio>
+                                            </div>
                                         </div>
                                         <div class="message-actions">
                                             <v-btn :icon="getCopyIcon(index)" size="small" variant="text"
@@ -716,7 +735,6 @@ export default {
                 }
             }
 
-
             axios.get('/api/chat/get_conversation?conversation_id=' + cid[0]).then(async response => {
                 this.currCid = cid[0];
                 let message = JSON.parse(response.data.data.history);
@@ -724,21 +742,26 @@ export default {
                     if (message[i].message.startsWith('[IMAGE]')) {
                         let img = message[i].message.replace('[IMAGE]', '');
                         const imageUrl = await this.getMediaFile(img);
-                        message[i].message = `<img src="${imageUrl}" style="max-width: 80%; border-radius: 8px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);"/>`
+                        if (!message[i].embedded_images) {
+                            message[i].embedded_images = [];
+                        }
+                        message[i].embedded_images.push(imageUrl);
+                        message[i].message = ''; // 清空message，避免显示标记文本
                     }
+                    
                     if (message[i].message.startsWith('[RECORD]')) {
                         let audio = message[i].message.replace('[RECORD]', '');
                         const audioUrl = await this.getMediaFile(audio);
-                        message[i].message = `<audio controls class="audio-player">
-                                    <source src="${audioUrl}" type="audio/wav">
-                                    ${this.t('messages.errors.browser.audioNotSupported')}
-                                  </audio>`
+                        message[i].embedded_audio = audioUrl;
+                        message[i].message = ''; // 清空message，避免显示标记文本
                     }
+                    
                     if (message[i].image_url && message[i].image_url.length > 0) {
                         for (let j = 0; j < message[i].image_url.length; j++) {
                             message[i].image_url[j] = await this.getMediaFile(message[i].image_url[j]);
                         }
                     }
+                    
                     if (message[i].audio_url) {
                         message[i].audio_url = await this.getMediaFile(message[i].audio_url);
                     }
@@ -924,9 +947,6 @@ export default {
                                 continue;
                             }
 
-                            if (chunk_json.type === 'heartbeat') {
-                                continue; // 心跳包
-                            }
                             if (chunk_json.type === 'error') {
                                 console.error('Error received:', chunk_json.data);
                                 continue;
@@ -937,7 +957,8 @@ export default {
                                 const imageUrl = await this.getMediaFile(img);
                                 let bot_resp = {
                                     type: 'bot',
-                                    message: `<img src="${imageUrl}" style="max-width: 80%; border-radius: 8px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);"/>`
+                                    message: '',
+                                    embedded_images: [imageUrl]
                                 }
                                 this.messages.push(bot_resp);
                             } else if (chunk_json.type === 'record') {
@@ -945,10 +966,8 @@ export default {
                                 const audioUrl = await this.getMediaFile(audio);
                                 let bot_resp = {
                                     type: 'bot',
-                                    message: `<audio controls class="audio-player">
-                                        <source src="${audioUrl}" type="audio/wav">
-                                        ${this.t('messages.errors.browser.audioNotSupported')}
-                                      </audio>`
+                                    message: '',
+                                    embedded_audio: audioUrl
                                 }
                                 this.messages.push(bot_resp);
                             } else if (chunk_json.type === 'plain') {
@@ -962,20 +981,19 @@ export default {
                                 } else {
                                     message_obj.message.value += chunk_json.data;
                                 }
-                            } else if (chunk_json.type === 'end') {
-                                in_streaming = false;
-                                // 在消息流结束后初始化代码复制按钮和图片点击事件
-                                this.initCodeCopyButtons();
-                                this.initImageClickEvents();
-                                continue;
                             } else if (chunk_json.type === 'update_title') {
                                 // 更新对话标题
                                 const conversation = this.conversations.find(c => c.cid === chunk_json.cid);
                                 if (conversation) {
                                     conversation.title = chunk_json.data;
                                 }
-                            } else {
-                                console.warn('未知数据类型:', chunk_json.type);
+                            }
+                            if ((chunk_json.type === 'break' && chunk_json.streaming) || !chunk_json.streaming) {
+                                // break means a segment end
+                                in_streaming = false;
+                                // 在消息流结束后初始化代码复制按钮和图片点击事件
+                                this.initCodeCopyButtons();
+                                this.initImageClickEvents();
                             }
                             this.scrollToBottom();
                         }
@@ -1077,19 +1095,43 @@ export default {
 
         // 复制bot消息到剪贴板
         copyBotMessage(message, messageIndex) {
-            // 移除HTML标签，获取纯文本
-            const tempDiv = document.createElement('div');
-            tempDiv.innerHTML = message;
-            const plainText = tempDiv.textContent || tempDiv.innerText || message;
+            // 获取对应的消息对象
+            const msgObj = this.messages[messageIndex];
+            let textToCopy = '';
+            
+            // 如果有文本消息，添加到复制内容中
+            if (message && message.trim()) {
+                // 移除HTML标签，获取纯文本
+                const tempDiv = document.createElement('div');
+                tempDiv.innerHTML = message;
+                textToCopy = tempDiv.textContent || tempDiv.innerText || message;
+            }
+            
+            // 如果有内嵌图片，添加说明
+            if (msgObj && msgObj.embedded_images && msgObj.embedded_images.length > 0) {
+                if (textToCopy) textToCopy += '\n\n';
+                textToCopy += `[包含 ${msgObj.embedded_images.length} 张图片]`;
+            }
+            
+            // 如果有内嵌音频，添加说明
+            if (msgObj && msgObj.embedded_audio) {
+                if (textToCopy) textToCopy += '\n\n';
+                textToCopy += '[包含音频内容]';
+            }
+            
+            // 如果没有任何内容，使用默认文本
+            if (!textToCopy.trim()) {
+                textToCopy = '[媒体内容]';
+            }
 
-            navigator.clipboard.writeText(plainText).then(() => {
+            navigator.clipboard.writeText(textToCopy).then(() => {
                 console.log('消息已复制到剪贴板');
                 this.showCopySuccess(messageIndex);
             }).catch(err => {
                 console.error('复制失败:', err);
                 // 如果现代API失败，使用传统方法
                 const textArea = document.createElement('textarea');
-                textArea.value = plainText;
+                textArea.value = textToCopy;
                 document.body.appendChild(textArea);
                 textArea.select();
                 try {
@@ -1920,4 +1962,39 @@ export default {
     padding-right: 32px;
     flex-shrink: 0;
 }
+
+.embedded-images {
+    margin-top: 8px;
+    display: flex;
+    flex-direction: column;
+    gap: 8px;
+}
+
+.embedded-image {
+    display: flex;
+    justify-content: flex-start;
+}
+
+.bot-embedded-image {
+    max-width: 80%;
+    width: auto;
+    height: auto;
+    border-radius: 8px;
+    box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
+    cursor: pointer;
+    transition: transform 0.2s ease;
+}
+
+.bot-embedded-image:hover {
+    transform: scale(1.02);
+}
+
+.embedded-audio {
+    margin-top: 8px;
+}
+
+.embedded-audio .audio-player {
+    width: 100%;
+    max-width: 300px;
+}
 </style>

dashboard/src/views/ProviderPage.vue

@@ -60,6 +60,7 @@
               title-field="id" 
               enabled-field="enable"
               @toggle-enabled="providerStatusChange"
+              :bglogo="getProviderIcon(provider.provider)"
               @delete="deleteProvider" 
               @edit="configExistingProvider">
               <template v-slot:details="{ item }">
@@ -199,7 +200,7 @@
                         </v-card-text>
                       </div>
                       <div class="provider-card-logo">
-                        <img :src="getProviderIcon(name)" v-if="getProviderIcon(name)" class="provider-logo-img">
+                        <img :src="getProviderIcon(template.provider)" v-if="getProviderIcon(template.provider)" class="provider-logo-img">
                         <div v-else class="provider-logo-fallback">
                           {{ name[0].toUpperCase() }}
                         </div>
@@ -541,34 +542,27 @@ export default {
     // 获取提供商类型对应的图标
     getProviderIcon(type) {
       const icons = {
-        'OpenAI': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/openai.svg',
-        'Azure OpenAI': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/openai.svg',
-        'Whisper': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/openai.svg',
-        'xAI': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/xai.svg',
-        'Anthropic': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/anthropic.svg',
-        'Ollama': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/ollama.svg',
-        'Gemini': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/gemini-color.svg',
-        'Gemini(OpenAI兼容)': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/gemini-color.svg',
-        'DeepSeek': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/deepseek.svg',
-        '智谱 AI': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/zhipu.svg',
-        '硅基流动': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/siliconcloud.svg',
-        'Kimi': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/kimi.svg',
-        'PPIO派欧云': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/ppio.svg',
-        'Dify': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/dify-color.svg',
-        '阿里云百炼': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/alibabacloud-color.svg',
-        'FastGPT': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/fastgpt-color.svg',
-        'LM Studio': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/lmstudio.svg',
-        'FishAudio': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/fishaudio.svg',
-        'Azure': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/azure.svg',
-        'MiniMax': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/minimax.svg',
-        '302.AI': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/1.53.0/files/icons/ai302.svg',
+        'openai': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/openai.svg',
+        'azure': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/azure.svg',
+        'xai': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/xai.svg',
+        'anthropic': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/anthropic.svg',
+        'ollama': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/ollama.svg',
+        'google': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/gemini-color.svg',
+        'deepseek': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/deepseek.svg',
+        'zhipu': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/zhipu.svg',
+        'siliconflow': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/siliconcloud.svg',
+        'moonshot': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/kimi.svg',
+        'ppio': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/ppio.svg',
+        'dify': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/dify-color.svg',
+        'dashscope': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/alibabacloud-color.svg',
+        'fastgpt': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/fastgpt-color.svg',
+        'lm_studio': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/lmstudio.svg',
+        'fishaudio': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/fishaudio.svg',
+        'minimax': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/minimax.svg',
+        '302ai': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/1.53.0/files/icons/ai302-color.svg',
+        'microsoft': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/microsoft.svg',
       };
-      for (const key in icons) {
-        if (type.startsWith(key)) {
-          return icons[key];
-        }
-      }
-      return ''
+      return icons[type] || '';
     },
 
     // 获取Tab类型的中文名称

packages/astrbot/long_term_memory.py

@@ -135,7 +135,7 @@ class LongTermMemory:
             return
 
         if event.get_result() and event.get_result().is_llm_result():
-            final_message = f"[AstrBot/{datetime.datetime.now().strftime('%H:%M:%S')}]: {event.get_result().get_plain_text()}"
+            final_message = f"[You/{datetime.datetime.now().strftime('%H:%M:%S')}]: {event.get_result().get_plain_text()}"
             logger.debug(f"ltm | {event.unified_msg_origin} | {final_message}")
             self.session_chats[event.unified_msg_origin].append(final_message)
             if len(self.session_chats[event.unified_msg_origin]) > self.max_cnt:

packages/astrbot/main.py

@@ -229,9 +229,7 @@ class Main(star.Star):
     async def plugin_off(self, event: AstrMessageEvent, plugin_name: str = None):
         """禁用插件"""
         if DEMO_MODE:
-            event.set_result(
-                MessageEventResult().message("演示模式下无法禁用插件。")
-            )
+            event.set_result(MessageEventResult().message("演示模式下无法禁用插件。"))
             return
         if not plugin_name:
             event.set_result(
@@ -246,9 +244,7 @@ class Main(star.Star):
     async def plugin_on(self, event: AstrMessageEvent, plugin_name: str = None):
         """启用插件"""
         if DEMO_MODE:
-            event.set_result(
-                MessageEventResult().message("演示模式下无法启用插件。")
-            )
+            event.set_result(MessageEventResult().message("演示模式下无法启用插件。"))
             return
         if not plugin_name:
             event.set_result(
@@ -263,9 +259,7 @@ class Main(star.Star):
     async def plugin_get(self, event: AstrMessageEvent, plugin_repo: str = None):
         """安装插件"""
         if DEMO_MODE:
-            event.set_result(
-                MessageEventResult().message("演示模式下无法安装插件。")
-            )
+            event.set_result(MessageEventResult().message("演示模式下无法安装插件。"))
             return
         if not plugin_repo:
             event.set_result(
@@ -1304,12 +1298,36 @@ UID: {user_id} 此 ID 可用于设置管理员。
                 ) and not req.contexts:
                     req.contexts[:0] = begin_dialogs
 
-        if quote and quote.message_str:
+        if quote:
+            sender_info = ""
             if quote.sender_nickname:
                 sender_info = f"(Sent by {quote.sender_nickname})"
-            else:
-                sender_info = ""
-            req.system_prompt += f"\nUser is quoting the message{sender_info}: {quote.message_str}, please consider the context."
+            message_str = quote.message_str or "[Empty Text]"
+            req.system_prompt += (
+                f"\nUser is quoting a message{sender_info}.\n"
+                f"Here are the information of the quoted message: Text Content: {message_str}.\n"
+            )
+            image_seg = None
+            if quote.chain:
+                for comp in quote.chain:
+                    if isinstance(comp, Image):
+                        image_seg = comp
+                        break
+            if image_seg:
+                try:
+                    if prov := self.context.get_using_provider(
+                        event.unified_msg_origin
+                    ):
+                        llm_resp = await prov.text_chat(
+                            prompt="Please describe the image content.",
+                            image_urls=[await image_seg.convert_to_file_path()],
+                        )
+                        if llm_resp.completion_text:
+                            req.system_prompt += (
+                                f"Image Caption: {llm_resp.completion_text}\n"
+                            )
+                except BaseException as e:
+                    logger.error(f"处理引用图片失败: {e}")
 
         if self.ltm:
             try:

packages/python_interpreter/main.py

@@ -129,9 +129,9 @@ class Main(star.Star):
             logger.info(
                 "Docker 不可用，代码解释器将无法使用，astrbot-python-interpreter 将自动禁用。"
             )
-            await self.context._star_manager.turn_off_plugin(
-                "astrbot-python-interpreter"
-            )
+            # await self.context._star_manager.turn_off_plugin(
+            #     "astrbot-python-interpreter"
+            # )
 
     async def file_upload(self, file_path: str):
         """

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "AstrBot"
-version = "3.5.19"
+version = "3.5.22"
 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"
@@ -27,7 +27,6 @@ dependencies = [
     "lark-oapi>=1.4.15",
     "lxml-html-clean>=0.4.2",
     "mcp>=1.8.0",
-    "nh3>=0.2.21",
     "openai>=1.78.0",
     "ormsgpack>=1.9.1",
     "pillow>=11.2.1",