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feat(monitoring): 关联反馈记录与消息ID，新增反馈导出 (#2120)
* feat(monitoring): link feedback to LangBot message ID and add feedback export - Add pipeline→adapter notification hook so monitoring message ID is passed back to WecomBotAdapter after creation - Store stream_id→monitoring_message_id mapping with 10-min TTL cleanup - Replace feedback record stream_id with LangBot monitoring message ID so feedback can be linked to actual message records - Rename streamId label to "Related Query ID" in all 7 i18n locales - Remove non-functional message ID jump button from FeedbackList - Add feedback export option to ExportDropdown (backend already implemented) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(monitoring): add combined refresh handler for monitoring and feedback data * fix(wecombot): improve stream ID mapping and error logging in WecomBotAdapter * feat(lark): add monitoring message ID mapping for feedback correlation * feat(lark): rename monitoring message ID mappings for clarity and consistency feat(feedback): add button to view conversation for feedback items * feat(bot-session-monitor): add feedback handling for bot messages with visual indicators * feat(bot-session-monitor): enhance feedback display with hover content for like/dislike indicators * fix(dingtalk): use voice recognition text instead of raw audio binary When DingTalk sends a voice message to the bot, the callback JSON contains a 'recognition' field with the speech-to-text result (powered by Qwen). Previously, LangBot only extracted the 'downloadCode' to download the raw audio binary and passed it as 'file_base64' to LLM APIs, which caused 400 errors since most models don't support this content type. This patch: - Extracts the 'recognition' field from DingTalk audio message content - Uses it as plain text input to the LLM instead of raw audio - Falls back to audio binary only when no recognition text is available - Fixes duplicate text issue for audio messages with recognition Fixes voice messages returning 'Request failed' on all LLM models. * fix: add filereader for dingtalk,lark (#2122) * fix: add filereader for dingtalk * feat: add lark * feat: update uv.lock * chore: update version to 4.9.6 in pyproject.toml, __init__.py, and uv.lock * fix: update langbot-plugin version to 0.3.8 * fix: update langbot-plugin version to 0.3.8 * fix(wecombot): extend StreamSession TTL for feedback sessions to prevent context data loss StreamSessionManager.cleanup() removes sessions after 60s TTL, but feedback events (like → cancel → dislike) can arrive later. When the session expires before the dislike event, all context fields (session_id, user_id, message_id, stream_id) are lost because get_session_by_feedback_id() returns None. Fix: Sessions with registered feedback_ids now use a 10-minute TTL, aligned with the adapter's _stream_to_monitoring_msg TTL in wecombot.py. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: 6mvp6 <13727783693@163.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: fdc310 <2213070223@qq.com> Co-authored-by: haiyangbg <zhouhaiyangaa@gmail.com> Co-authored-by: Guanchao Wang <wangcham233@gmail.com> Co-authored-by: Rock Chin <1010553892@qq.com>
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6mvp6
@@ -1163,7 +1163,7 @@ const enUS = {
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contextInfo: 'Context Info',
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userId: 'User ID',
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messageId: 'Message ID',
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streamId: 'Stream ID',
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streamId: 'Related Query ID',
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inaccurateReasons: 'Inaccurate Reasons',
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platform: 'Platform',
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exportFeedback: 'Export Feedback',
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@@ -1194,6 +1194,7 @@ const enUS = {
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embeddingCalls: 'Embedding Calls',
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errors: 'Error Logs',
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sessions: 'Sessions',
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feedback: 'User Feedback',
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},
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},
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limitation: {
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@@ -1194,7 +1194,7 @@ const esES = {
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contextInfo: 'Información de contexto',
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userId: 'ID de usuario',
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messageId: 'ID de mensaje',
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streamId: 'ID de flujo',
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streamId: 'ID de consulta relacionada',
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inaccurateReasons: 'Razones de inexactitud',
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platform: 'Plataforma',
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exportFeedback: 'Exportar comentarios',
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@@ -1225,6 +1225,7 @@ const esES = {
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embeddingCalls: 'Llamadas Embedding',
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errors: 'Registros de errores',
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sessions: 'Sesiones',
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feedback: 'Comentarios de usuarios',
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},
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},
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limitation: {
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@@ -1166,7 +1166,7 @@
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contextInfo: 'コンテキスト情報',
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userId: 'ユーザーID',
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messageId: 'メッセージID',
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streamId: 'ストリームID',
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streamId: '関連質問ID',
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inaccurateReasons: '不正確な理由',
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platform: 'プラットフォーム',
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exportFeedback: 'フィードバックをエクスポート',
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@@ -1197,6 +1197,7 @@
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embeddingCalls: 'Embedding コール',
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errors: 'エラーログ',
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sessions: 'セッション',
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feedback: 'ユーザーフィードバック',
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},
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},
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limitation: {
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@@ -1142,7 +1142,7 @@ const thTH = {
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contextInfo: 'ข้อมูลบริบท',
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userId: 'ID ผู้ใช้',
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messageId: 'ID ข้อความ',
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streamId: 'ID สตรีม',
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streamId: 'ID คำถามที่เกี่ยวข้อง',
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inaccurateReasons: 'เหตุผลที่ไม่ถูกต้อง',
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platform: 'แพลตฟอร์ม',
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exportFeedback: 'ส่งออกความคิดเห็น',
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@@ -1173,6 +1173,7 @@ const thTH = {
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embeddingCalls: 'การเรียก Embedding',
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errors: 'บันทึกข้อผิดพลาด',
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sessions: 'เซสชัน',
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feedback: 'ความคิดเห็นผู้ใช้',
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},
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},
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limitation: {
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@@ -1163,7 +1163,7 @@ const viVN = {
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contextInfo: 'Thông tin ngữ cảnh',
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userId: 'ID người dùng',
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messageId: 'ID tin nhắn',
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streamId: 'ID luồng',
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streamId: 'ID câu hỏi liên quan',
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inaccurateReasons: 'Lý do không chính xác',
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platform: 'Nền tảng',
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exportFeedback: 'Xuất phản hồi',
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@@ -1194,6 +1194,7 @@ const viVN = {
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embeddingCalls: 'Cuộc gọi Embedding',
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errors: 'Nhật ký lỗi',
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sessions: 'Phiên',
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feedback: 'Phản hồi người dùng',
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},
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},
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limitation: {
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@@ -1110,7 +1110,7 @@ const zhHans = {
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contextInfo: '上下文信息',
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userId: '用户ID',
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messageId: '消息ID',
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streamId: '流ID',
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streamId: '关联提问ID',
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inaccurateReasons: '不准确原因',
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platform: '平台',
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exportFeedback: '导出反馈',
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@@ -1141,6 +1141,7 @@ const zhHans = {
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embeddingCalls: 'Embedding 调用',
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errors: '错误日志',
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sessions: '会话记录',
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feedback: '用户反馈',
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},
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},
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limitation: {
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@@ -1109,7 +1109,7 @@ const zhHant = {
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contextInfo: '上下文資訊',
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userId: '使用者ID',
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messageId: '訊息ID',
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streamId: '串流ID',
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streamId: '關聯提問ID',
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inaccurateReasons: '不準確原因',
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platform: '平台',
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exportFeedback: '匯出反饋',
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@@ -1140,6 +1140,7 @@ const zhHant = {
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embeddingCalls: 'Embedding 呼叫',
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errors: '錯誤日誌',
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sessions: '會話記錄',
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feedback: '使用者回饋',
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},
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},
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limitation: {
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