feat: add send shortcut configuration and localization support for chat input

.github/PULL_REQUEST_TEMPLATE.md

@@ -21,23 +21,7 @@
 <!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
 <!--如果分支被合并，您的代码将服务于数万名用户！在提交前，请核查一下几点内容。-->
 
-- [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。
-  / If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
-
-- [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。
-  / My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
-
-- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到 `requirements.txt` 和 `pyproject.toml` 文件相应位置。
-  / I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
-
-- [ ] 😮 我的更改没有引入恶意代码。
-  / My changes do not introduce malicious code.
-
-- [ ] ⚠️ 我已认真阅读并理解以上所有内容，确保本次提交符合规范。
-  / I have read and understood all the above and confirm this PR follows the rules.
-
-- [ ] 🚀 我确保本次开发**基于 dev 分支**，并将代码合并至**开发分支**（除非极其紧急，才允许合并到主分支）。
-   / I confirm that this development is **based on the dev branch** and will be merged into the **development branch**, unless it is extremely urgent to merge into the main branch.
-
-- [ ] ⚠️ 我**没有**认真阅读以上内容，直接提交。
-  / I **did not** read the above carefully before submitting.
+- [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
+- [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
+- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
+- [ ] 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.

.github/workflows/pr-checklist-check.yml

@@ -1,45 +0,0 @@
-name: PR Checklist Check
-
-on:
-  pull_request_target:
-    types: [opened, edited, reopened, synchronize]
-
-jobs:
-  check:
-    runs-on: ubuntu-latest
-
-    permissions:
-      pull-requests: write
-      issues: write
-
-    steps:
-      - name: Check checklist
-        id: check
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const body = context.payload.pull_request.body || "";
-            const regex = /-\s*\[\s*x\s*\].*没有.*认真阅读/i;
-            const bad = regex.test(body);
-            core.setOutput("bad", bad);
-
-      - name: Close PR
-        if: steps.check.outputs.bad == 'true'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const pr = context.payload.pull_request;
-
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: pr.number,
-              body: `检测到你勾选了“我没有认真阅读”，PR 已关闭。`
-            });
-
-            await github.rest.pulls.update({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              pull_number: pr.number,
-              state: "closed"
-            });

astrbot/core/astr_main_agent_resources.py

@@ -188,12 +188,7 @@ class KnowledgeBaseQueryTool(FunctionTool[AstrAgentContext]):
 @dataclass
 class SendMessageToUserTool(FunctionTool[AstrAgentContext]):
     name: str = "send_message_to_user"
-    description: str = (
-        "Send message to the user. "
-        "Supports various message types including `plain`, `image`, `record`, `video`, `file`, and `mention_user`. "
-        "Use this tool to send media files (`image`, `record`, `video`, `file`), "
-        "or when you need to proactively message the user(such as cron job). For normal text replies, you can output directly."
-    )
+    description: str = "Directly send message to the user. Only use this tool when you need to proactively message the user. Otherwise you can directly output the reply in the conversation."
 
     parameters: dict = Field(
         default_factory=lambda: {

astrbot/core/computer/tools/neo_skills.py

@@ -164,10 +164,7 @@ class CreateSkillPayloadTool(NeoSkillToolBase):
             "type": "object",
             "properties": {
                 "payload": {
-                    "anyOf": [
-                        {"type": "object"},
-                        {"type": "array", "items": {"type": "object"}},
-                    ],
+                    "anyOf": [{"type": "object"}, {"type": "array"}],
                     "description": (
                         "Skill payload JSON. Typical schema: {skill_markdown, inputs, outputs, meta}. "
                         "This only stores content and returns payload_ref; it does not create a candidate or release."

astrbot/core/config/default.py

@@ -1132,18 +1132,6 @@ CONFIG_METADATA_2 = {
                         "proxy": "",
                         "custom_headers": {},
                     },
-                    "MiniMax": {
-                        "id": "minimax",
-                        "provider": "minimax",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "api_base": "https://api.minimaxi.com/v1",
-                        "timeout": 120,
-                        "proxy": "",
-                        "custom_headers": {},
-                    },
                     "xAI": {
                         "id": "xai",
                         "provider": "xai",

astrbot/core/platform/sources/qqofficial/qqofficial_platform_adapter.py

@@ -391,47 +391,6 @@ class QQOfficialPlatformAdapter(Platform):
                 else:
                     msg.append(File(name=filename, file=url, url=url))
 
-    @staticmethod
-    def _parse_face_message(content: str) -> str:
-        """Parse QQ official face message format and convert to readable text.
-
-        QQ official face message format:
-        <faceType=4,faceId="",ext="eyJ0ZXh0IjoiW+a7oeWktOmXruWPt10ifQ==">
-
-        The ext field contains base64-encoded JSON with a 'text' field
-        describing the emoji (e.g., '[满头问号]').
-
-        Args:
-            content: The message content that may contain face tags.
-
-        Returns:
-            Content with face tags replaced by readable emoji descriptions.
-        """
-        import base64
-        import json
-        import re
-
-        def replace_face(match):
-            face_tag = match.group(0)
-            # Extract ext field from the face tag
-            ext_match = re.search(r'ext="([^"]*)"', face_tag)
-            if ext_match:
-                try:
-                    ext_encoded = ext_match.group(1)
-                    # Decode base64 and parse JSON
-                    ext_decoded = base64.b64decode(ext_encoded).decode("utf-8")
-                    ext_data = json.loads(ext_decoded)
-                    emoji_text = ext_data.get("text", "")
-                    if emoji_text:
-                        return f"[表情:{emoji_text}]"
-                except Exception:
-                    pass
-            # Fallback if parsing fails
-            return "[表情]"
-
-        # Match face tags: <faceType=...>
-        return re.sub(r"<faceType=\d+[^>]*>", replace_face, content)
-
     @staticmethod
     def _parse_from_qqofficial(
         message: botpy.message.Message
@@ -457,10 +416,7 @@ class QQOfficialPlatformAdapter(Platform):
                 abm.group_id = message.group_openid
             else:
                 abm.sender = MessageMember(message.author.user_openid, "")
-            # Parse face messages to readable text
-            abm.message_str = QQOfficialPlatformAdapter._parse_face_message(
-                message.content.strip()
-            )
+            abm.message_str = message.content.strip()
             abm.self_id = "unknown_selfid"
             msg.append(At(qq="qq_official"))
             msg.append(Plain(abm.message_str))
@@ -476,12 +432,10 @@ class QQOfficialPlatformAdapter(Platform):
             else:
                 abm.self_id = ""
 
-            plain_content = QQOfficialPlatformAdapter._parse_face_message(
-                message.content.replace(
-                    "<@!" + str(abm.self_id) + ">",
-                    "",
-                ).strip()
-            )
+            plain_content = message.content.replace(
+                "<@!" + str(abm.self_id) + ">",
+                "",
+            ).strip()
 
             QQOfficialPlatformAdapter._append_attachments(msg, message.attachments)
             abm.message = msg

astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_server.py

@@ -1,6 +1,5 @@
 import asyncio
 import logging
-import time
 from typing import cast
 
 import quart
@@ -40,9 +39,6 @@ class QQOfficialWebhook:
         self.client = botpy_client
         self.event_queue = event_queue
         self.shutdown_event = asyncio.Event()
-        # Deduplication cache for webhook retry callbacks.
-        self._seen_event_ids: dict[str, float] = {}
-        self._dedup_ttl: int = 60  # seconds
 
     async def initialize(self) -> None:
         logger.info("正在登录到 QQ 官方机器人...")
@@ -110,22 +106,6 @@ class QQOfficialWebhook:
             print(signed)
             return signed
 
-        event_id = msg.get("id")
-        if event_id:
-            now = time.monotonic()
-            # Lazily evict expired entries to prevent unbounded growth.
-            expired = [
-                k
-                for k, ts in self._seen_event_ids.items()
-                if now - ts > self._dedup_ttl
-            ]
-            for k in expired:
-                del self._seen_event_ids[k]
-            if event_id in self._seen_event_ids:
-                logger.debug(f"Duplicate webhook event {event_id!r}, skipping.")
-                return {"opcode": 12}
-            self._seen_event_ids[event_id] = now
-
         if event and opcode == BotWebSocket.WS_DISPATCH_EVENT:
             event = msg["t"].lower()
             try:

astrbot/core/platform/sources/telegram/tg_event.py

@@ -25,16 +25,6 @@ from astrbot.api.platform import AstrBotMessage, MessageType, PlatformMetadata
 from astrbot.core.utils.metrics import Metric
 
 
-def _is_gif(path: str) -> bool:
-    if path.lower().endswith(".gif"):
-        return True
-    try:
-        with open(path, "rb") as f:
-            return f.read(6) in (b"GIF87a", b"GIF89a")
-    except OSError:
-        return False
-
-
 class TelegramPlatformEvent(AstrMessageEvent):
     # Telegram 的最大消息长度限制
     MAX_MESSAGE_LENGTH = 4096
@@ -301,13 +291,7 @@ class TelegramPlatformEvent(AstrMessageEvent):
                         await client.send_message(text=chunk, **cast(Any, payload))
             elif isinstance(i, Image):
                 image_path = await i.convert_to_file_path()
-                if _is_gif(image_path):
-                    send_coro = client.send_animation
-                    media_kwarg = {"animation": image_path}
-                else:
-                    send_coro = client.send_photo
-                    media_kwarg = {"photo": image_path}
-                await send_coro(**media_kwarg, **cast(Any, payload))
+                await client.send_photo(photo=image_path, **cast(Any, payload))
             elif isinstance(i, File):
                 path = await i.get_file()
                 name = i.name or os.path.basename(path)
@@ -422,20 +406,12 @@ class TelegramPlatformEvent(AstrMessageEvent):
                 on_text(i.text)
             elif isinstance(i, Image):
                 image_path = await i.convert_to_file_path()
-                if _is_gif(image_path):
-                    action = ChatAction.UPLOAD_VIDEO
-                    send_coro = self.client.send_animation
-                    media_kwarg = {"animation": image_path}
-                else:
-                    action = ChatAction.UPLOAD_PHOTO
-                    send_coro = self.client.send_photo
-                    media_kwarg = {"photo": image_path}
                 await self._send_media_with_action(
                     self.client,
-                    action,
-                    send_coro,
+                    ChatAction.UPLOAD_PHOTO,
+                    self.client.send_photo,
                     user_name=user_name,
-                    **media_kwarg,
+                    photo=image_path,
                     **cast(Any, payload),
                 )
             elif isinstance(i, File):

astrbot/core/platform/sources/wecom_ai_bot/wecomai_adapter.py

@@ -440,16 +440,9 @@ class WecomAIBotAdapter(Platform):
         )
 
     def _extract_session_id(self, message_data: dict[str, Any]) -> str:
-        """从消息数据中提取会话ID
-        群聊使用 chatid，单聊使用 userid
-        """
-        chattype = message_data.get("chattype", "single")
-        if chattype == "group":
-            chat_id = message_data.get("chatid", "default_group")
-            return format_session_id("wecomai", chat_id)
-        else:
-            user_id = message_data.get("from", {}).get("userid", "default_user")
-            return format_session_id("wecomai", user_id)
+        """从消息数据中提取会话ID"""
+        user_id = message_data.get("from", {}).get("userid", "default_user")
+        return format_session_id("wecomai", user_id)
 
     async def _enqueue_message(
         self,

astrbot/core/provider/manager.py

@@ -808,8 +808,6 @@ class ProviderManager:
             config.save_config()
             # load instance
             await self.load_provider(new_config)
-            # sync in-memory config for API queries (e.g., embedding provider list)
-            self.providers_config = astrbot_config["provider"]
 
     async def terminate(self) -> None:
         if self._mcp_init_task and not self._mcp_init_task.done():

astrbot/core/provider/sources/groq_source.py

@@ -13,11 +13,3 @@ class ProviderGroq(ProviderOpenAIOfficial):
     ) -> None:
         super().__init__(provider_config, provider_settings)
         self.reasoning_key = "reasoning"
-
-    def _finally_convert_payload(self, payloads: dict) -> None:
-        """Groq rejects assistant history items that include reasoning_content."""
-        super()._finally_convert_payload(payloads)
-        for message in payloads.get("messages", []):
-            if message.get("role") == "assistant":
-                message.pop("reasoning_content", None)
-                message.pop("reasoning", None)

astrbot/core/provider/sources/openai_embedding_source.py

@@ -40,46 +40,25 @@ class OpenAIEmbeddingProvider(EmbeddingProvider):
 
     async def get_embedding(self, text: str) -> list[float]:
         """获取文本的嵌入"""
-        kwargs = self._embedding_kwargs()
         embedding = await self.client.embeddings.create(
             input=text,
             model=self.model,
-            **kwargs,
+            dimensions=self.get_dim(),
         )
         return embedding.data[0].embedding
 
     async def get_embeddings(self, text: list[str]) -> list[list[float]]:
         """批量获取文本的嵌入"""
-        kwargs = self._embedding_kwargs()
         embeddings = await self.client.embeddings.create(
             input=text,
             model=self.model,
-            **kwargs,
+            dimensions=self.get_dim(),
         )
         return [item.embedding for item in embeddings.data]
 
-    def _embedding_kwargs(self) -> dict:
-        """构建嵌入请求的可选参数"""
-        kwargs = {}
-        if "embedding_dimensions" in self.provider_config:
-            try:
-                kwargs["dimensions"] = int(self.provider_config["embedding_dimensions"])
-            except (ValueError, TypeError):
-                logger.warning(
-                    f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
-                )
-        return kwargs
-
     def get_dim(self) -> int:
         """获取向量的维度"""
-        if "embedding_dimensions" in self.provider_config:
-            try:
-                return int(self.provider_config["embedding_dimensions"])
-            except (ValueError, TypeError):
-                logger.warning(
-                    f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
-                )
-        return 0
+        return int(self.provider_config.get("embedding_dimensions", 1024))
 
     async def terminate(self):
         if self.client:

astrbot/core/provider/sources/openai_source.py

@@ -311,7 +311,7 @@ class ProviderOpenAIOfficial(Provider):
                 state.handle_chunk(chunk)
             except Exception as e:
                 logger.warning("Saving chunk state error: " + str(e))
-            if not chunk.choices:
+            if len(chunk.choices) == 0:
                 continue
             delta = chunk.choices[0].delta
             # logger.debug(f"chunk delta: {delta}")
@@ -322,7 +322,7 @@ class ProviderOpenAIOfficial(Provider):
             if reasoning:
                 llm_response.reasoning_content = reasoning
                 _y = True
-            if delta and delta.content:
+            if delta.content:
                 # Don't strip streaming chunks to preserve spaces between words
                 completion_text = self._normalize_content(delta.content, strip=False)
                 llm_response.result_chain = MessageChain(
@@ -345,7 +345,7 @@ class ProviderOpenAIOfficial(Provider):
     ) -> str:
         """Extract reasoning content from OpenAI ChatCompletion if available."""
         reasoning_text = ""
-        if not completion.choices:
+        if len(completion.choices) == 0:
             return reasoning_text
         if isinstance(completion, ChatCompletion):
             choice = completion.choices[0]
@@ -468,7 +468,7 @@ class ProviderOpenAIOfficial(Provider):
         """Parse OpenAI ChatCompletion into LLMResponse"""
         llm_response = LLMResponse("assistant")
 
-        if not completion.choices:
+        if len(completion.choices) == 0:
             raise Exception("API 返回的 completion 为空。")
         choice = completion.choices[0]
 

astrbot/core/umop_config_router.py

@@ -25,22 +25,12 @@ class UmopConfigRouter:
         )
         self.umop_to_conf_id = sp_data
 
-    @staticmethod
-    def _split_umo(umo: str) -> tuple[str, str, str] | None:
-        """将 UMO 拆分为 3 个部分，同时保留 session_id 中的 ':'"""
-        if not isinstance(umo, str):
-            return None
-        parts = umo.split(":", 2)
-        if len(parts) != 3:
-            return None
-        return parts[0], parts[1], parts[2]
-
     def _is_umo_match(self, p1: str, p2: str) -> bool:
         """判断 p2 umo 是否逻辑包含于 p1 umo"""
-        p1_ls = self._split_umo(p1)
-        p2_ls = self._split_umo(p2)
+        p1_ls = p1.split(":")
+        p2_ls = p2.split(":")
 
-        if p1_ls is None or p2_ls is None:
+        if len(p1_ls) != 3 or len(p2_ls) != 3:
             return False  # 非法格式
 
         return all(p == "" or fnmatch.fnmatchcase(t, p) for p, t in zip(p1_ls, p2_ls))
@@ -72,7 +62,7 @@ class UmopConfigRouter:
 
         """
         for part in new_routing:
-            if self._split_umo(part) is None:
+            if not isinstance(part, str) or len(part.split(":")) != 3:
                 raise ValueError(
                     "umop keys must be strings in the format [platform_id]:[message_type]:[session_id], with optional wildcards * or empty for all",
                 )
@@ -91,7 +81,7 @@ class UmopConfigRouter:
             ValueError: 如果 umo 格式不正确
 
         """
-        if self._split_umo(umo) is None:
+        if not isinstance(umo, str) or len(umo.split(":")) != 3:
             raise ValueError(
                 "umop must be a string in the format [platform_id]:[message_type]:[session_id], with optional wildcards * or empty for all",
             )
@@ -109,7 +99,7 @@ class UmopConfigRouter:
             ValueError: 当 umo 格式不正确时抛出
         """
 
-        if self._split_umo(umo) is None:
+        if not isinstance(umo, str) or len(umo.split(":")) != 3:
             raise ValueError(
                 "umop must be a string in the format [platform_id]:[message_type]:[session_id], with optional wildcards * or empty for all",
             )

astrbot/dashboard/routes/chat.py

@@ -36,20 +36,6 @@ async def track_conversation(convs: dict, conv_id: str):
         convs.pop(conv_id, None)
 
 
-async def _poll_webchat_stream_result(back_queue, username: str):
-    try:
-        result = await asyncio.wait_for(back_queue.get(), timeout=1)
-    except asyncio.TimeoutError:
-        return None, False
-    except asyncio.CancelledError:
-        logger.debug(f"[WebChat] 用户 {username} 断开聊天长连接。")
-        return None, True
-    except Exception as e:
-        logger.error(f"WebChat stream error: {e}")
-        return None, False
-    return result, False
-
-
 class ChatRoute(Route):
     def __init__(
         self,
@@ -357,12 +343,16 @@ class ChatRoute(Route):
 
                 async with track_conversation(self.running_convs, webchat_conv_id):
                     while True:
-                        result, should_break = await _poll_webchat_stream_result(
-                            back_queue, username
-                        )
-                        if should_break:
+                        try:
+                            result = await asyncio.wait_for(back_queue.get(), timeout=1)
+                        except asyncio.TimeoutError:
+                            continue
+                        except asyncio.CancelledError:
+                            logger.debug(f"[WebChat] 用户 {username} 断开聊天长连接。")
                             client_disconnected = True
-                            break
+                        except Exception as e:
+                            logger.error(f"WebChat stream error: {e}")
+
                         if not result:
                             continue
 

dashboard/package.json

@@ -36,6 +36,7 @@
     "remixicon": "3.5.0",
     "shiki": "^3.20.0",
     "stream-markdown": "^0.0.13",
+    "stream-monaco": "^0.0.17",
     "vee-validate": "4.11.3",
     "vite-plugin-vuetify": "2.1.3",
     "vue": "3.3.4",

dashboard/pnpm-lock.yaml

@@ -81,6 +81,9 @@ importers:
       stream-markdown:
         specifier: ^0.0.13
         version: 0.0.13(shiki@3.22.0)
+      stream-monaco:
+        specifier: ^0.0.17
+        version: 0.0.17(monaco-editor@0.52.2)
       vee-validate:
         specifier: 4.11.3
         version: 4.11.3(vue@3.3.4)
@@ -3297,7 +3300,6 @@ snapshots:
       '@shikijs/core': 3.22.0
       '@shikijs/types': 3.22.0
       '@shikijs/vscode-textmate': 10.0.2
-    optional: true
 
   '@shikijs/themes@3.22.0':
     dependencies:
@@ -3990,8 +3992,7 @@ snapshots:
       json-schema-traverse: 1.0.0
       require-from-string: 2.0.2
 
-  alien-signals@2.0.8:
-    optional: true
+  alien-signals@2.0.8: {}
 
   ansi-regex@5.0.1: {}
 
@@ -5442,7 +5443,6 @@ snapshots:
       alien-signals: 2.0.8
       monaco-editor: 0.52.2
       shiki: 3.22.0
-    optional: true
 
   stringify-entities@4.0.4:
     dependencies:

dashboard/src/components/chat/Chat.vue

@@ -74,7 +74,7 @@
                                 :stagedImagesUrl="stagedImagesUrl"
                                 :stagedAudioUrl="stagedAudioUrl"
                                 :stagedFiles="stagedNonImageFiles"
-                                :disabled="false"
+                                :disabled="isStreaming"
                                 :is-running="isStreaming || isConvRunning"
                                 :enableStreaming="enableStreaming"
                                 :isRecording="isRecording"
@@ -106,7 +106,7 @@
                                 :stagedImagesUrl="stagedImagesUrl"
                                 :stagedAudioUrl="stagedAudioUrl"
                                 :stagedFiles="stagedNonImageFiles"
-                                :disabled="false"
+                                :disabled="isStreaming"
                                 :is-running="isStreaming || isConvRunning"
                                 :enableStreaming="enableStreaming"
                                 :isRecording="isRecording"
@@ -137,7 +137,7 @@
                             :stagedImagesUrl="stagedImagesUrl"
                             :stagedAudioUrl="stagedAudioUrl"
                             :stagedFiles="stagedNonImageFiles"
-                            :disabled="false"
+                            :disabled="isStreaming"
                             :is-running="isStreaming || isConvRunning"
                             :enableStreaming="enableStreaming"
                             :isRecording="isRecording"
@@ -348,12 +348,6 @@ function setSendShortcut(mode: SendShortcut) {
     localStorage.setItem(SEND_SHORTCUT_STORAGE_KEY, mode);
 }
 
-function focusChatInput() {
-    nextTick(() => {
-        chatInputRef.value?.focusInput?.();
-    });
-}
-
 // 检测是否为手机端
 function checkMobile() {
     isMobile.value = window.innerWidth <= 768;
@@ -511,7 +505,6 @@ async function handleSelectConversation(sessionIds: string[]) {
     nextTick(() => {
         messageList.value?.scrollToBottom();
     });
-    focusChatInput();
 }
 
 function handleNewChat() {
@@ -521,7 +514,6 @@ function handleNewChat() {
     // 退出项目视图
     selectedProjectId.value = null;
     projectSessions.value = [];
-    focusChatInput();
 }
 
 async function handleDeleteConversation(sessionId: string) {
@@ -679,11 +671,6 @@ async function handleSendMessage() {
     const selectedProviderId = selection?.providerId || '';
     const selectedModelName = selection?.modelName || '';
 
-    // 点击发送后立即将消息区滚到底部，确保用户看到最新消息
-    nextTick(() => {
-        messageList.value?.scrollToBottom();
-    });
-
     await sendMsg(
         promptToSend,
         filesToSend,
@@ -693,11 +680,6 @@ async function handleSendMessage() {
         replyToSend
     );
 
-    // 发送流程结束后再兜底一次，处理异步渲染场景
-    nextTick(() => {
-        messageList.value?.scrollToBottom();
-    });
-
     // 如果在项目中创建了新会话，将其添加到项目
     if (isCreatingNewSession && currentProjectId && currSessionId.value) {
         await addSessionToProject(currSessionId.value, currentProjectId);

dashboard/src/components/chat/ChatInput.vue

@@ -95,7 +95,7 @@
                             {{ isRecording ? tm('voice.speaking') : tm('voice.startRecording') }}
                         </v-tooltip>
                     </v-btn>
-                    <v-btn icon v-if="isRunning && !canSend" @click="$emit('stop')" variant="tonal" color="primary" class="send-btn">
+                    <v-btn icon v-if="isRunning" @click="$emit('stop')" variant="tonal" color="primary" class="send-btn">
                         <v-icon icon="mdi-stop" variant="text" plain></v-icon>
                         <v-tooltip activator="parent" location="top">
                             {{ tm('input.stopGenerating') }}
@@ -373,11 +373,6 @@ function getCurrentSelection() {
     return providerModelMenuRef.value?.getCurrentSelection();
 }
 
-function focusInput() {
-    if (!inputField.value) return;
-    inputField.value.focus();
-}
-
 onMounted(() => {
     if (inputField.value) {
         inputField.value.addEventListener('paste', handlePaste);
@@ -393,8 +388,7 @@ onBeforeUnmount(() => {
 });
 
 defineExpose({
-    getCurrentSelection,
-    focusInput
+    getCurrentSelection
 });
 </script>
 

dashboard/src/components/chat/MessageList.vue

@@ -180,7 +180,7 @@
 
 <script>
 import { useI18n, useModuleI18n } from '@/i18n/composables';
-import { enableKatex, enableMermaid, MarkdownCodeBlockNode, setCustomComponents } from 'markstream-vue'
+import { enableKatex, enableMermaid, setCustomComponents } from 'markstream-vue'
 import 'markstream-vue/index.css'
 import 'katex/dist/katex.min.css'
 import 'highlight.js/styles/github.css';
@@ -194,11 +194,8 @@ import ActionRef from './message_list_comps/ActionRef.vue';
 enableKatex();
 enableMermaid();
 
-// 注册 message-list 专用组件：引用节点 + Shiki 代码块渲染
-setCustomComponents('message-list', {
-    ref: RefNode,
-    code_block: MarkdownCodeBlockNode
-});
+// 注册自定义 ref 组件
+setCustomComponents('message-list', { ref: RefNode });
 
 export default {
     name: 'MessageList',

dashboard/src/components/chat/StandaloneChat.vue

@@ -22,7 +22,7 @@
                         v-model:prompt="prompt"
                         :stagedImagesUrl="stagedImagesUrl"
                         :stagedAudioUrl="stagedAudioUrl"
-                        :disabled="false"
+                        :disabled="isStreaming"
                         :is-running="isStreaming || isConvRunning"
                         :enableStreaming="enableStreaming"
                         :isRecording="isRecording"

dashboard/src/components/chat/message_list_comps/MessagePartsRenderer.vue

@@ -63,9 +63,8 @@
         <!-- Text (Markdown) -->
         <MarkdownRender
             v-else-if="renderPart.part.type === 'plain' && renderPart.part.text && renderPart.part.text.trim()"
-            :key="`${renderPart.key}-${isDark ? 'dark' : 'light'}`"
             custom-id="message-list" :custom-html-tags="['ref']" :content="renderPart.part.text" :typewriter="false"
-            class="markdown-content" :is-dark="isDark" />
+            class="markdown-content" :is-dark="isDark" :monacoOptions="{ theme: isDark ? 'vs-dark' : 'vs-light' }" />
 
         <!-- Image -->
         <div v-else-if="renderPart.part.type === 'image' && renderPart.part.embedded_url" class="embedded-images">

dashboard/src/components/chat/message_list_comps/ReasoningBlock.vue

@@ -9,7 +9,7 @@
             </span>
         </div>
         <div v-if="isExpanded" class="reasoning-content animate-fade-in">
-            <MarkdownRender :key="`reasoning-${isDark ? 'dark' : 'light'}`" :content="reasoning" class="reasoning-text markdown-content"
+            <MarkdownRender :content="reasoning" class="reasoning-text markdown-content"
                 :typewriter="false" :is-dark="isDark" :style="isDark ? { opacity: '0.85' } : {}" />
         </div>
     </div>

dashboard/src/utils/providerUtils.js

@@ -9,33 +9,33 @@
  */
 export function getProviderIcon(type) {
   const icons = {
-    'openai': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/openai.svg',
-    'azure': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/azure.svg',
-    'xai': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/xai.svg',
-    'anthropic': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/anthropic.svg',
-    'ollama': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/ollama.svg',
-    'google': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/gemini-color.svg',
-    'deepseek': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/deepseek.svg',
-    'modelscope': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/modelscope.svg',
-    'zhipu': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/zhipu.svg',
-    'nvidia': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/nvidia-color.svg',
-    'siliconflow': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/siliconcloud.svg',
-    'moonshot': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/kimi.svg',
-    'ppio': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/ppio.svg',
-    'dify': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/dify-color.svg',
-    "coze": "https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@1.66.0/icons/coze.svg",
-    'dashscope': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/alibabacloud-color.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',
+    'modelscope': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/modelscope.svg',
+    'zhipu': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/zhipu.svg',
+    'nvidia': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/nvidia-color.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',
+    "coze": "https://registry.npmmirror.com/@lobehub/icons-static-svg/1.66.0/files/icons/coze.svg",
+    'dashscope': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/alibabacloud-color.svg',
     'deerflow': 'https://cdn.jsdelivr.net/gh/bytedance/deer-flow@main/frontend/public/images/deer.svg',
-    'fastgpt': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/fastgpt-color.svg',
-    'lm_studio': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/lmstudio.svg',
-    'fishaudio': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/fishaudio.svg',
-    'minimax': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/minimax.svg',
-    '302ai': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@1.53.0/icons/ai302-color.svg',
-    'microsoft': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/microsoft.svg',
-    'vllm': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/vllm.svg',
-    'groq': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/groq.svg',
-    'aihubmix': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/aihubmix-color.svg',
-    'openrouter': 'https://cdn.jsdelivr.net/npm/@lobehub/icons-static-svg@latest/icons/openrouter.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',
+    'vllm': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/vllm.svg',
+    'groq': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/groq.svg',
+    'aihubmix': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/aihubmix-color.svg',
+    'openrouter': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/openrouter.svg',
     "tokenpony": "https://tokenpony.cn/tokenpony-web/logo.png",
     "compshare": "https://compshare.cn/favicon.ico"
   };

docs/en/community.md

@@ -6,7 +6,7 @@ This documentation may not cover all features comprehensively. If you have any q
 
 ### Discord
 
-<https://discord.gg/hAVk6tgV36>
+<https://discord.gg/PxgzhmxJ>
 
 ### GitHub
 

docs/zh/community.md

@@ -21,7 +21,7 @@
 
 ### Discord
 
-https://discord.gg/hAVk6tgV36
+https://discord.gg/PxgzhmxJ
 
 ### Astrbook
 

docs/zh/deploy/astrbot/package.md

@@ -13,5 +13,5 @@
 ```bash
 uv tool install astrbot
 astrbot init # 只需要在第一次部署时执行，后续启动不需要执行
-astrbot run
+astrbot
 ```

docs/zh/deploy/astrbot/rainyun.md

@@ -41,4 +41,4 @@ AstrBot 已经上架至雨云的预装软件列表，支持**一键安装** Astr
 
 ![创建NAT端口映射规则](https://files.astrbot.app/docs/source/images/rainyun/image-2.png)
 
-然后，内网端口填写 `6185`，点击 `创建映射规则`，这样就可以通过 `http://IP:上面设置好的外网端口` 访问 AstrBot 的管理面板了。如果无法打开，请点击`备用地址`，通过备用地址访问管理面板。
+然后，内网端口填写 `6185`，点击 `创建映射规则`，这样就可以通过 `http://IP:上面设置好的外网端口` 访问 AstrBot 的管理面板了。

docs/zh/what-is-astrbot.md

@@ -23,7 +23,7 @@ AstrBot 是一个开源的一站式 Agentic 个人和群聊助手，可在 QQ、
 
 - 部署 AstrBot：阅读部署指南，快速在本地机器或云服务器上部署 AstrBot。
 - 连接 IM 平台：按照说明将 AstrBot 连接到您喜欢的 IM 平台，如 Discord、Telegram、Slack 等。
-- 配置 AI 模型：AstrBot 支持各种 AI 模型。请参阅 [连接模型服务](/providers/start)
+- 配置 AI 模型：AstrBot 支持各种 AI 模型。请参阅 [连接模型服务](/config/providers/start)
 
 ## 它是如何实现的？
 

scripts/generate_changelog.py

@@ -0,0 +1,253 @@
+#!/usr/bin/env python3
+"""
+Auto-generate changelog from git commits using LLM.
+Usage: python scripts/generate_changelog.py [--version VERSION]
+"""
+
+import argparse
+import os
+import re
+import subprocess
+import sys
+from pathlib import Path
+
+
+def get_latest_tag():
+    """Get the latest git tag."""
+    result = subprocess.run(
+        ["git", "describe", "--tags", "--abbrev=0"],
+        capture_output=True,
+        text=True,
+        check=True,
+    )
+    return result.stdout.strip()
+
+
+def get_commits_since_tag(tag):
+    """Get all commit messages since the specified tag."""
+    result = subprocess.run(
+        ["git", "log", f"{tag}..HEAD", "--pretty=format:%H|%s|%b"],
+        capture_output=True,
+        text=True,
+        check=True,
+    )
+    commits = []
+    for line in result.stdout.strip().split("\n"):
+        if not line:
+            continue
+        parts = line.split("|", 2)
+        if len(parts) >= 2:
+            commit_hash = parts[0]
+            subject = parts[1]
+            body = parts[2] if len(parts) > 2 else ""
+            commits.append({"hash": commit_hash[:7], "subject": subject, "body": body})
+    return commits
+
+
+def extract_issue_number(text):
+    """Extract issue number from commit message."""
+    # Match #1234 or (#1234)
+    match = re.search(r"#(\d+)", text)
+    return match.group(1) if match else None
+
+
+def call_llm_for_changelog(commits, version):
+    """Call LLM to generate changelog from commits."""
+    try:
+        # Try to use OpenAI API or other LLM providers
+        import openai
+
+        # Build prompt
+        commits_text = "\n".join([f"- {c['subject']}" for c in commits])
+
+        prompt = f"""Based on the following git commit messages, generate a changelog document in BOTH Chinese and English.
+
+Commit messages:
+{commits_text}
+
+Please organize the changes into these categories:
+- 新增 (New Features)
+- 修复 (Bug Fixes)
+- 优化 (Improvements)
+- 其他 (Others)
+
+Format requirements:
+1. Start with Chinese version under "## What's Changed"
+2. Follow with English version under "## What's Changed (EN)"
+3. Use markdown format with proper bullet points
+4. Keep descriptions concise and user-friendly
+5. If a commit mentions an issue number (#1234), include it in the format ([#1234](https://github.com/AstrBotDevs/AstrBot/issues/1234))
+
+Example format:
+## What's Changed
+
+### 新增
+- 支持某某功能 ([#1234](https://github.com/AstrBotDevs/AstrBot/issues/1234))
+
+### 修复
+- 修复某某问题
+
+## What's Changed (EN)
+
+### New Features
+- Add support for something ([#1234](https://github.com/AstrBotDevs/AstrBot/issues/1234))
+
+### Bug Fixes
+- Fix something
+"""
+
+        client = openai.OpenAI(
+            api_key=os.getenv("OPENAI_API_KEY"),
+            base_url=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1"),
+        )
+
+        response = client.chat.completions.create(
+            model=os.getenv("OPENAI_MODEL", "gpt-4"),
+            messages=[
+                {
+                    "role": "system",
+                    "content": "You are a helpful assistant that generates well-structured changelogs.",
+                },
+                {"role": "user", "content": prompt},
+            ],
+            temperature=0.3,
+        )
+
+        return response.choices[0].message.content
+
+    except ImportError:
+        print(
+            "Warning: openai package not installed. Install it with: pip install openai"
+        )
+        return generate_simple_changelog(commits)
+    except Exception as e:
+        print(f"Warning: Failed to call LLM API: {e}")
+        print("Falling back to simple changelog generation...")
+        return generate_simple_changelog(commits)
+
+
+def generate_simple_changelog(commits):
+    """Generate a simple changelog without LLM."""
+    sections = {
+        "feat": ("新增", "New Features", []),
+        "fix": ("修复", "Bug Fixes", []),
+        "perf": ("优化", "Improvements", []),
+        "docs": ("文档", "Documentation", []),
+        "refactor": ("重构", "Refactoring", []),
+        "test": ("测试", "Tests", []),
+        "chore": ("其他", "Chore", []),
+        "other": ("其他", "Others", []),
+    }
+
+    # Categorize commits by conventional commit type
+    for commit in commits:
+        subject = commit["subject"]
+        issue_num = extract_issue_number(subject)
+        issue_link = (
+            f" ([#{issue_num}](https://github.com/AstrBotDevs/AstrBot/issues/{issue_num}))"
+            if issue_num
+            else ""
+        )
+
+        # Detect conventional commit type
+        matched = False
+        for prefix in ["feat", "fix", "perf", "docs", "refactor", "test", "chore"]:
+            if subject.lower().startswith(f"{prefix}:") or subject.lower().startswith(
+                f"{prefix}("
+            ):
+                # Remove prefix for display
+                clean_subject = re.sub(
+                    r"^[a-z]+(\([^)]+\))?:\s*", "", subject, flags=re.IGNORECASE
+                )
+                sections[prefix][2].append(f"- {clean_subject}{issue_link}")
+                matched = True
+                break
+
+        if not matched:
+            sections["other"][2].append(f"- {subject}{issue_link}")
+
+    # Build Chinese version
+    changelog_zh = "## What's Changed\n\n"
+    for section_key in ["feat", "fix", "perf", "docs", "refactor", "test", "other"]:
+        zh_title, _, items = sections[section_key]
+        if items:
+            changelog_zh += f"### {zh_title}\n\n"
+            changelog_zh += "\n".join(items) + "\n\n"
+
+    # Build English version
+    changelog_en = "## What's Changed (EN)\n\n"
+    for section_key in ["feat", "fix", "perf", "docs", "refactor", "test", "other"]:
+        _, en_title, items = sections[section_key]
+        if items:
+            changelog_en += f"### {en_title}\n\n"
+            changelog_en += "\n".join(items) + "\n\n"
+
+    return changelog_zh + changelog_en
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Generate changelog from git commits")
+    parser.add_argument(
+        "--version", help="Version number for the changelog (e.g., v4.13.3)"
+    )
+    parser.add_argument(
+        "--use-llm",
+        action="store_true",
+        help="Use LLM to generate changelog (requires OpenAI API key)",
+    )
+    args = parser.parse_args()
+
+    # Get latest tag
+    try:
+        latest_tag = get_latest_tag()
+        print(f"Latest tag: {latest_tag}")
+    except subprocess.CalledProcessError:
+        print("Error: No tags found in repository")
+        sys.exit(1)
+
+    # Get commits since tag
+    commits = get_commits_since_tag(latest_tag)
+    if not commits:
+        print(f"No commits found since {latest_tag}")
+        sys.exit(0)
+
+    print(f"Found {len(commits)} commits since {latest_tag}")
+
+    # Determine version
+    if args.version:
+        version = args.version
+    else:
+        # Auto-increment patch version
+        match = re.match(r"v(\d+)\.(\d+)\.(\d+)", latest_tag)
+        if match:
+            major, minor, patch = map(int, match.groups())
+            version = f"v{major}.{minor}.{patch + 1}"
+        else:
+            print(f"Warning: Could not parse version from tag {latest_tag}")
+            version = "vX.X.X"
+
+    print(f"Generating changelog for {version}...")
+
+    # Generate changelog
+    if args.use_llm:
+        changelog_content = call_llm_for_changelog(commits, version)
+    else:
+        changelog_content = generate_simple_changelog(commits)
+
+    # Save to file
+    changelog_dir = Path(__file__).parent.parent / "changelogs"
+    changelog_dir.mkdir(exist_ok=True)
+    changelog_file = changelog_dir / f"{version}.md"
+
+    with open(changelog_file, "w", encoding="utf-8") as f:
+        f.write(changelog_content)
+
+    print(f"\n✓ Changelog generated: {changelog_file}")
+    print("\nPreview:")
+    print("=" * 80)
+    print(changelog_content)
+    print("=" * 80)
+
+
+if __name__ == "__main__":
+    main()

tests/test_chat_route.py

@@ -1,56 +0,0 @@
-import asyncio
-
-import pytest
-
-from astrbot.dashboard.routes.chat import _poll_webchat_stream_result
-
-
-class _QueueThatRaises:
-    def __init__(self, exc: BaseException):
-        self._exc = exc
-
-    async def get(self):
-        raise self._exc
-
-
-class _QueueWithResult:
-    def __init__(self, result):
-        self._result = result
-
-    async def get(self):
-        return self._result
-
-
-@pytest.mark.asyncio
-async def test_poll_webchat_stream_result_breaks_on_cancelled_error():
-    result, should_break = await _poll_webchat_stream_result(
-        _QueueThatRaises(asyncio.CancelledError()),
-        "alice",
-    )
-
-    assert result is None
-    assert should_break is True
-
-
-@pytest.mark.asyncio
-async def test_poll_webchat_stream_result_continues_on_generic_exception():
-    result, should_break = await _poll_webchat_stream_result(
-        _QueueThatRaises(RuntimeError("boom")),
-        "alice",
-    )
-
-    assert result is None
-    assert should_break is False
-
-
-@pytest.mark.asyncio
-async def test_poll_webchat_stream_result_returns_queue_payload():
-    payload = {"type": "end", "data": ""}
-
-    result, should_break = await _poll_webchat_stream_result(
-        _QueueWithResult(payload),
-        "alice",
-    )
-
-    assert result == payload
-    assert should_break is False

tests/test_openai_source.py

@@ -2,7 +2,6 @@ from types import SimpleNamespace
 
 import pytest
 
-from astrbot.core.provider.sources.groq_source import ProviderGroq
 from astrbot.core.provider.sources.openai_source import ProviderOpenAIOfficial
 
 
@@ -33,21 +32,6 @@ def _make_provider(overrides: dict | None = None) -> ProviderOpenAIOfficial:
     )
 
 
-def _make_groq_provider(overrides: dict | None = None) -> ProviderGroq:
-    provider_config = {
-        "id": "test-groq",
-        "type": "groq_chat_completion",
-        "model": "qwen/qwen3-32b",
-        "key": ["test-key"],
-    }
-    if overrides:
-        provider_config.update(overrides)
-    return ProviderGroq(
-        provider_config=provider_config,
-        provider_settings={},
-    )
-
-
 @pytest.mark.asyncio
 async def test_handle_api_error_content_moderated_removes_images():
     provider = _make_provider(
@@ -214,57 +198,6 @@ def test_extract_error_text_candidates_truncates_long_response_text():
     )
 
 
-@pytest.mark.asyncio
-async def test_openai_payload_keeps_reasoning_content_in_assistant_history():
-    provider = _make_provider()
-    try:
-        payloads = {
-            "messages": [
-                {
-                    "role": "assistant",
-                    "content": [
-                        {"type": "think", "think": "step 1"},
-                        {"type": "text", "text": "final answer"},
-                    ],
-                }
-            ]
-        }
-
-        provider._finally_convert_payload(payloads)
-
-        assistant_message = payloads["messages"][0]
-        assert assistant_message["content"] == [{"type": "text", "text": "final answer"}]
-        assert assistant_message["reasoning_content"] == "step 1"
-    finally:
-        await provider.terminate()
-
-
-@pytest.mark.asyncio
-async def test_groq_payload_drops_reasoning_content_from_assistant_history():
-    provider = _make_groq_provider()
-    try:
-        payloads = {
-            "messages": [
-                {
-                    "role": "assistant",
-                    "content": [
-                        {"type": "think", "think": "step 1"},
-                        {"type": "text", "text": "final answer"},
-                    ],
-                }
-            ]
-        }
-
-        provider._finally_convert_payload(payloads)
-
-        assistant_message = payloads["messages"][0]
-        assert assistant_message["content"] == [{"type": "text", "text": "final answer"}]
-        assert "reasoning_content" not in assistant_message
-        assert "reasoning" not in assistant_message
-    finally:
-        await provider.terminate()
-
-
 @pytest.mark.asyncio
 async def test_handle_api_error_content_moderated_without_images_raises():
     provider = _make_provider(