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12 Commits
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v4.9.5
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2
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
2
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -1,5 +1,5 @@
|
||||
name: 漏洞反馈
|
||||
description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://docs.langbot.app/zh/workshop/network-details.html
|
||||
description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://link.langbot.app/zh/docs/network
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||||
title: "[Bug]: "
|
||||
labels: ["bug?"]
|
||||
body:
|
||||
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||||
2
.github/ISSUE_TEMPLATE/bug-report_en.yml
vendored
2
.github/ISSUE_TEMPLATE/bug-report_en.yml
vendored
@@ -1,5 +1,5 @@
|
||||
name: Bug report
|
||||
description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
|
||||
description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://link.langbot.app/en/docs/network
|
||||
title: "[Bug]: "
|
||||
labels: ["bug?"]
|
||||
body:
|
||||
|
||||
12
README.md
12
README.md
@@ -19,9 +19,9 @@ English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Website</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features">Features</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide">Docs</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme">API</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/features">Features</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/guide">Docs</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app/cloud">Cloud</a> ｜
|
||||
<a href="https://space.langbot.app">Plugin Market</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
|
||||
@@ -45,7 +45,7 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
|
||||
- **Web Management Panel** — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
|
||||
- **Multi-Pipeline Architecture** — Different bots for different scenarios, with comprehensive monitoring and exception handling.
|
||||
|
||||
[→ Learn more about all features](https://docs.langbot.app/en/insight/features)
|
||||
[→ Learn more about all features](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -76,7 +76,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**More options:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt) · [Kubernetes](./docker/README_K8S.md)
|
||||
**More options:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -124,7 +124,7 @@ docker compose up -d
|
||||
| [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |
|
||||
|
||||
[→ View all integrations](https://docs.langbot.app/en/insight/features)
|
||||
[→ View all integrations](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_CN.md
12
README_CN.md
@@ -21,9 +21,9 @@
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">官网</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/zh/docs/features">特性</a> ｜
|
||||
<a href="https://link.langbot.app/zh/docs/guide">文档</a> ｜
|
||||
<a href="https://link.langbot.app/zh/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app/cloud">Cloud</a> ｜
|
||||
<a href="https://space.langbot.app">插件市场</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">路线图</a>
|
||||
@@ -45,7 +45,7 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
|
||||
- **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人，无需手动编辑配置文件。
|
||||
- **多流水线架构** — 不同机器人用于不同场景，具备全面的监控和异常处理能力。
|
||||
|
||||
[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
|
||||
[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -76,7 +76,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [宝塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手动部署](https://link.langbot.app/zh/docs/manual-deploy) · [宝塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -125,7 +125,7 @@ docker compose up -d
|
||||
| [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
|
||||
| [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
|
||||
|
||||
[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
|
||||
[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)
|
||||
|
||||
### TTS（语音合成）
|
||||
|
||||
|
||||
12
README_ES.md
12
README_ES.md
@@ -19,9 +19,9 @@
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Inicio</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Características</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Documentación</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/features">Características</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/guide">Documentación</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">Mercado de Plugins</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Hoja de Ruta</a>
|
||||
|
||||
@@ -44,7 +44,7 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
|
||||
- **Panel de Gestión Web** — Configure, gestione y monitoree sus bots a través de una interfaz de navegador intuitiva. Sin necesidad de editar YAML.
|
||||
- **Arquitectura Multi-Pipeline** — Diferentes bots para diferentes escenarios, con monitoreo completo y manejo de excepciones.
|
||||
|
||||
[→ Conocer más sobre todas las funcionalidades](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -75,7 +75,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**Más opciones:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**Más opciones:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -123,7 +123,7 @@ docker compose up -d
|
||||
| [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
|
||||
|
||||
[→ Ver todas las integraciones](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_FR.md
12
README_FR.md
@@ -19,9 +19,9 @@
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Accueil</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Fonctionnalités</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Documentation</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/features">Fonctionnalités</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/guide">Documentation</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">Marché des Plugins</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Feuille de Route</a>
|
||||
|
||||
@@ -44,7 +44,7 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
|
||||
- **Panneau de Gestion Web** — Configurez, gérez et surveillez vos bots via une interface navigateur intuitive. Aucune édition de YAML requise.
|
||||
- **Architecture Multi-Pipeline** — Différents bots pour différents scénarios, avec surveillance complète et gestion des exceptions.
|
||||
|
||||
[→ En savoir plus sur toutes les fonctionnalités](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -75,7 +75,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**Plus d'options :** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**Plus d'options :** [Docker](https://link.langbot.app/en/docs/docker) · [Manuel](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -123,7 +123,7 @@ docker compose up -d
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
|
||||
|
||||
[→ Voir toutes les intégrations](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Voir toutes les intégrations](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_JP.md
12
README_JP.md
@@ -19,9 +19,9 @@
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">ホーム</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/insight/features.html">機能</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/insight/guide.html">ドキュメント</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/ja/docs/features">機能</a> ｜
|
||||
<a href="https://link.langbot.app/ja/docs/guide">ドキュメント</a> ｜
|
||||
<a href="https://link.langbot.app/ja/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">プラグインマーケット</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">ロードマップ</a>
|
||||
|
||||
@@ -44,7 +44,7 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
|
||||
- **Web管理パネル** — 直感的なブラウザインターフェースからボットの設定、管理、監視が可能。YAML編集は不要。
|
||||
- **マルチパイプラインアーキテクチャ** — 異なるシナリオに異なるボットを配置し、包括的な監視と例外処理を実現。
|
||||
|
||||
[→ すべての機能について詳しく見る](https://docs.langbot.app/ja/insight/features.html)
|
||||
[→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -75,7 +75,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**その他:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**その他:** [Docker](https://link.langbot.app/en/docs/docker) · [手動デプロイ](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -123,7 +123,7 @@ docker compose up -d
|
||||
| [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |
|
||||
|
||||
[→ すべての統合を表示](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ すべての統合を表示](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_KO.md
12
README_KO.md
@@ -19,9 +19,9 @@
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">홈</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">기능</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">문서</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/features">기능</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/guide">문서</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">플러그인 마켓</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">로드맵</a>
|
||||
|
||||
@@ -44,7 +44,7 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
|
||||
- **웹 관리 패널** — 직관적인 브라우저 인터페이스로 봇을 구성, 관리 및 모니터링. YAML 편집 불필요.
|
||||
- **멀티 파이프라인 아키텍처** — 다양한 시나리오에 맞는 다양한 봇 구성, 종합 모니터링 및 예외 처리.
|
||||
|
||||
[→ 모든 기능 자세히 보기](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -75,7 +75,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**더 많은 옵션:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**더 많은 옵션:** [Docker](https://link.langbot.app/en/docs/docker) · [수동 배포](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -123,7 +123,7 @@ docker compose up -d
|
||||
| [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |
|
||||
|
||||
[→ 모든 통합 보기](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ 모든 통합 보기](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_RU.md
12
README_RU.md
@@ -19,9 +19,9 @@
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Главная</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Возможности</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Документация</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/features">Возможности</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/guide">Документация</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">Магазин плагинов</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Дорожная карта</a>
|
||||
|
||||
@@ -44,7 +44,7 @@ LangBot — это **платформа с открытым исходным к
|
||||
- **Веб-панель управления** — Настраивайте, управляйте и мониторьте ваших ботов через интуитивный браузерный интерфейс. Ручное редактирование YAML не требуется.
|
||||
- **Мультиконвейерная архитектура** — Разные боты для разных сценариев с комплексным мониторингом и обработкой исключений.
|
||||
|
||||
[→ Подробнее обо всех возможностях](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -75,7 +75,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**Другие варианты:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Ручная установка](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**Другие варианты:** [Docker](https://link.langbot.app/en/docs/docker) · [Ручная установка](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -123,7 +123,7 @@ docker compose up -d
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |
|
||||
|
||||
[→ Смотреть все интеграции](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Смотреть все интеграции](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_TW.md
12
README_TW.md
@@ -21,9 +21,9 @@
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">官網</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">文件</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/zh/docs/features">特性</a> ｜
|
||||
<a href="https://link.langbot.app/zh/docs/guide">文件</a> ｜
|
||||
<a href="https://link.langbot.app/zh/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">外掛市場</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">路線圖</a>
|
||||
|
||||
@@ -46,7 +46,7 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
|
||||
- **Web 管理面板** — 透過瀏覽器直觀地配置、管理和監控機器人，無需手動編輯設定檔。
|
||||
- **多流水線架構** — 不同機器人用於不同場景，具備全面的監控和異常處理能力。
|
||||
|
||||
[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
|
||||
[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -77,7 +77,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [寶塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手動部署](https://link.langbot.app/zh/docs/manual-deploy) · [寶塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -139,7 +139,7 @@ docker compose up -d
|
||||
|-----------|------|
|
||||
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
|
||||
|
||||
[→ 查看完整整合列表](https://docs.langbot.app/zh/insight/features.html)
|
||||
[→ 查看完整整合列表](https://link.langbot.app/zh/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
12
README_VI.md
12
README_VI.md
@@ -19,9 +19,9 @@
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Trang chủ</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Tính năng</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Tài liệu</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/features">Tính năng</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/guide">Tài liệu</a> ｜
|
||||
<a href="https://link.langbot.app/en/docs/api">API</a> ｜
|
||||
<a href="https://space.langbot.app">Chợ Plugin</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Lộ trình</a>
|
||||
|
||||
@@ -44,7 +44,7 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
|
||||
- **Bảng quản lý Web** — Cấu hình, quản lý và giám sát bot thông qua giao diện trình duyệt trực quan. Không cần chỉnh sửa YAML.
|
||||
- **Kiến trúc đa Pipeline** — Các bot khác nhau cho các kịch bản khác nhau, với giám sát toàn diện và xử lý ngoại lệ.
|
||||
|
||||
[→ Tìm hiểu thêm về tất cả tính năng](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
@@ -75,7 +75,7 @@ docker compose up -d
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**Thêm tùy chọn:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
**Thêm tùy chọn:** [Docker](https://link.langbot.app/en/docs/docker) · [Thủ công](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
@@ -123,7 +123,7 @@ docker compose up -d
|
||||
| [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |
|
||||
|
||||
[→ Xem tất cả tích hợp](https://docs.langbot.app/en/insight/features.html)
|
||||
[→ Xem tất cả tích hợp](https://link.langbot.app/en/docs/features)
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -312,7 +312,7 @@ spec:
|
||||
### 参考资源
|
||||
|
||||
- [LangBot 官方文档](https://docs.langbot.app)
|
||||
- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
|
||||
- [Docker 部署文档](https://link.langbot.app/zh/docs/docker)
|
||||
- [Kubernetes 官方文档](https://kubernetes.io/docs/)
|
||||
|
||||
---
|
||||
@@ -625,5 +625,5 @@ spec:
|
||||
### References
|
||||
|
||||
- [LangBot Official Documentation](https://docs.langbot.app)
|
||||
- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
|
||||
- [Docker Deployment Guide](https://link.langbot.app/zh/docs/docker)
|
||||
- [Kubernetes Official Documentation](https://kubernetes.io/docs/)
|
||||
|
||||
@@ -34,4 +34,4 @@ services:
|
||||
|
||||
networks:
|
||||
langbot_network:
|
||||
driver: bridge
|
||||
driver: bridge
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "langbot"
|
||||
version = "4.9.4"
|
||||
version = "4.9.5"
|
||||
description = "Production-grade platform for building agentic IM bots"
|
||||
readme = "README.md"
|
||||
license-files = ["LICENSE"]
|
||||
@@ -64,7 +64,7 @@ dependencies = [
|
||||
"chromadb>=1.0.0,<2.0.0",
|
||||
"qdrant-client (>=1.15.1,<2.0.0)",
|
||||
"pyseekdb==1.1.0.post3",
|
||||
"langbot-plugin==0.3.5",
|
||||
"langbot-plugin==0.3.6",
|
||||
"asyncpg>=0.30.0",
|
||||
"line-bot-sdk>=3.19.0",
|
||||
"tboxsdk>=0.0.10",
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
"""LangBot - Production-grade platform for building agentic IM bots"""
|
||||
|
||||
__version__ = '4.9.4'
|
||||
__version__ = '4.9.5'
|
||||
|
||||
@@ -64,6 +64,9 @@ class StreamSession:
|
||||
# 缓存最近一次片段，处理重试或超时兜底
|
||||
last_chunk: Optional[StreamChunk] = None
|
||||
|
||||
# 反馈 ID，用于接收用户点赞/点踩反馈
|
||||
feedback_id: Optional[str] = None
|
||||
|
||||
|
||||
class StreamSessionManager:
|
||||
"""管理 stream 会话的生命周期，并负责队列的生产消费。"""
|
||||
@@ -74,6 +77,7 @@ class StreamSessionManager:
|
||||
self.ttl = ttl # 超时时间（秒），超过该时间未被访问的会话会被清理由 cleanup
|
||||
self._sessions: dict[str, StreamSession] = {} # stream_id -> StreamSession 映射
|
||||
self._msg_index: dict[str, str] = {} # msgid -> stream_id 映射，便于流水线根据消息 ID 找到会话
|
||||
self._feedback_index: dict[str, str] = {} # feedback_id -> stream_id 映射
|
||||
|
||||
def get_stream_id_by_msg(self, msg_id: str) -> Optional[str]:
|
||||
if not msg_id:
|
||||
@@ -83,6 +87,32 @@ class StreamSessionManager:
|
||||
def get_session(self, stream_id: str) -> Optional[StreamSession]:
|
||||
return self._sessions.get(stream_id)
|
||||
|
||||
def get_session_by_feedback_id(self, feedback_id: str) -> Optional[StreamSession]:
|
||||
"""根据 feedback_id 查找会话。
|
||||
|
||||
Args:
|
||||
feedback_id: 企业微信反馈事件中的反馈 ID。
|
||||
|
||||
Returns:
|
||||
Optional[StreamSession]: 找到的会话实例，未找到返回 None。
|
||||
"""
|
||||
if not feedback_id:
|
||||
return None
|
||||
stream_id = self._feedback_index.get(feedback_id)
|
||||
if stream_id:
|
||||
return self._sessions.get(stream_id)
|
||||
return None
|
||||
|
||||
def register_feedback_id(self, stream_id: str, feedback_id: str) -> None:
|
||||
"""注册 feedback_id 与 stream_id 的映射。
|
||||
|
||||
Args:
|
||||
stream_id: 企业微信流式会话 ID。
|
||||
feedback_id: 反馈 ID。
|
||||
"""
|
||||
if feedback_id and stream_id:
|
||||
self._feedback_index[feedback_id] = stream_id
|
||||
|
||||
def create_or_get(self, msg_json: dict[str, Any]) -> tuple[StreamSession, bool]:
|
||||
"""根据企业微信回调创建或获取会话。
|
||||
|
||||
@@ -597,14 +627,27 @@ class WecomBotClient:
|
||||
self.stream_sessions = StreamSessionManager(logger=logger)
|
||||
self.stream_poll_timeout = 0.5
|
||||
|
||||
self._feedback_callback: Optional[Callable] = None
|
||||
|
||||
def set_feedback_callback(self, callback: Callable) -> None:
|
||||
"""设置反馈回调函数。
|
||||
|
||||
Args:
|
||||
callback: 反馈回调函数，签名: async def callback(feedback_id, feedback_type, feedback_content, inaccurate_reasons, session)
|
||||
"""
|
||||
self._feedback_callback = callback
|
||||
|
||||
@staticmethod
|
||||
def _build_stream_payload(stream_id: str, content: str, finish: bool) -> dict[str, Any]:
|
||||
def _build_stream_payload(
|
||||
stream_id: str, content: str, finish: bool, feedback_id: Optional[str] = None
|
||||
) -> dict[str, Any]:
|
||||
"""按照企业微信协议拼装返回报文。
|
||||
|
||||
Args:
|
||||
stream_id: 企业微信会话 ID。
|
||||
content: 推送的文本内容。
|
||||
finish: 是否为最终片段。
|
||||
feedback_id: 反馈 ID，用于接收用户点赞/点踩反馈。
|
||||
|
||||
Returns:
|
||||
dict[str, Any]: 可直接加密返回的 payload。
|
||||
@@ -612,13 +655,16 @@ class WecomBotClient:
|
||||
Example:
|
||||
组装 `{'msgtype': 'stream', 'stream': {'id': 'sid', ...}}` 结构。
|
||||
"""
|
||||
stream_payload = {
|
||||
'id': stream_id,
|
||||
'finish': finish,
|
||||
'content': content,
|
||||
}
|
||||
if feedback_id:
|
||||
stream_payload['feedback'] = {'id': feedback_id}
|
||||
return {
|
||||
'msgtype': 'stream',
|
||||
'stream': {
|
||||
'id': stream_id,
|
||||
'finish': finish,
|
||||
'content': content,
|
||||
},
|
||||
'stream': stream_payload,
|
||||
}
|
||||
|
||||
async def _encrypt_and_reply(self, payload: dict[str, Any], nonce: str) -> tuple[Response, int]:
|
||||
@@ -674,9 +720,14 @@ class WecomBotClient:
|
||||
"""
|
||||
session, is_new = self.stream_sessions.create_or_get(msg_json)
|
||||
|
||||
feedback_id = str(uuid.uuid4())
|
||||
session.feedback_id = feedback_id
|
||||
self.stream_sessions.register_feedback_id(session.stream_id, feedback_id)
|
||||
|
||||
message_data = await self.get_message(msg_json)
|
||||
if message_data:
|
||||
message_data['stream_id'] = session.stream_id
|
||||
message_data['feedback_id'] = feedback_id
|
||||
try:
|
||||
event = wecombotevent.WecomBotEvent(message_data)
|
||||
except Exception:
|
||||
@@ -685,7 +736,7 @@ class WecomBotClient:
|
||||
if is_new:
|
||||
asyncio.create_task(self._dispatch_event(event))
|
||||
|
||||
payload = self._build_stream_payload(session.stream_id, '', False)
|
||||
payload = self._build_stream_payload(session.stream_id, '', False, feedback_id)
|
||||
return await self._encrypt_and_reply(payload, nonce)
|
||||
|
||||
async def _handle_post_followup_response(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
|
||||
@@ -810,11 +861,78 @@ class WecomBotClient:
|
||||
|
||||
msg_json = json.loads(decrypted_xml)
|
||||
|
||||
event = msg_json.get('event', {})
|
||||
event_type = event.get('eventtype', '')
|
||||
|
||||
if event_type == 'feedback_event':
|
||||
return await self._handle_feedback_event(msg_json, nonce)
|
||||
|
||||
if msg_json.get('msgtype') == 'stream':
|
||||
return await self._handle_post_followup_response(msg_json, nonce)
|
||||
|
||||
return await self._handle_post_initial_response(msg_json, nonce)
|
||||
|
||||
async def _handle_feedback_event(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
|
||||
"""处理企业微信用户反馈事件（点赞/点踩）。
|
||||
|
||||
Args:
|
||||
msg_json: 解密后的企业微信反馈事件 JSON。
|
||||
nonce: 企业微信回调参数 nonce。
|
||||
|
||||
Returns:
|
||||
Tuple[Response, int]: Quart Response 及状态码。
|
||||
|
||||
Note:
|
||||
企业微信协议要求：反馈事件目前仅支持回复空包。
|
||||
"""
|
||||
try:
|
||||
feedback_event = msg_json.get('event', {}).get('feedback_event', {})
|
||||
feedback_id = feedback_event.get('id', '')
|
||||
feedback_type = feedback_event.get('type', 0)
|
||||
feedback_content = feedback_event.get('content', '')
|
||||
inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
|
||||
|
||||
await self.logger.info(
|
||||
f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
|
||||
f'content={feedback_content}, reasons={inaccurate_reasons}'
|
||||
)
|
||||
|
||||
session = self.stream_sessions.get_session_by_feedback_id(feedback_id)
|
||||
if session:
|
||||
await self.logger.info(
|
||||
f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
|
||||
)
|
||||
for handler in self._message_handlers.get('feedback', []):
|
||||
try:
|
||||
await handler(
|
||||
feedback_id=feedback_id,
|
||||
feedback_type=feedback_type,
|
||||
feedback_content=feedback_content,
|
||||
inaccurate_reasons=inaccurate_reasons,
|
||||
session=session,
|
||||
)
|
||||
except Exception:
|
||||
await self.logger.error(traceback.format_exc())
|
||||
|
||||
if self._feedback_callback:
|
||||
try:
|
||||
await self._feedback_callback(
|
||||
feedback_id=feedback_id,
|
||||
feedback_type=feedback_type,
|
||||
feedback_content=feedback_content,
|
||||
inaccurate_reasons=inaccurate_reasons,
|
||||
session=session,
|
||||
)
|
||||
except Exception:
|
||||
await self.logger.error(traceback.format_exc())
|
||||
else:
|
||||
await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话')
|
||||
|
||||
except Exception:
|
||||
await self.logger.error(traceback.format_exc())
|
||||
|
||||
return await self._encrypt_and_reply({}, nonce)
|
||||
|
||||
async def get_message(self, msg_json):
|
||||
return await parse_wecom_bot_message(msg_json, self.EnCodingAESKey, self.logger)
|
||||
|
||||
@@ -883,6 +1001,15 @@ class WecomBotClient:
|
||||
|
||||
return decorator
|
||||
|
||||
def on_feedback(self):
|
||||
def decorator(func: Callable):
|
||||
if 'feedback' not in self._message_handlers:
|
||||
self._message_handlers['feedback'] = []
|
||||
self._message_handlers['feedback'].append(func)
|
||||
return func
|
||||
|
||||
return decorator
|
||||
|
||||
async def download_url_to_base64(self, download_url, encoding_aes_key):
|
||||
data, _filename = await download_encrypted_file(download_url, encoding_aes_key, self.logger)
|
||||
if data:
|
||||
|
||||
@@ -133,3 +133,17 @@ class WecomBotEvent(dict):
|
||||
AI Bot ID
|
||||
"""
|
||||
return self.get('aibotid', '')
|
||||
|
||||
@property
|
||||
def feedback_id(self) -> str:
|
||||
"""
|
||||
反馈 ID，用于关联用户点赞/点踩反馈
|
||||
"""
|
||||
return self.get('feedback_id', '')
|
||||
|
||||
@property
|
||||
def stream_id(self) -> str:
|
||||
"""
|
||||
流式消息 ID
|
||||
"""
|
||||
return self.get('stream_id', '')
|
||||
|
||||
@@ -456,6 +456,31 @@ class MonitoringRouterGroup(group.RouterGroup):
|
||||
'platform',
|
||||
'user_id',
|
||||
]
|
||||
elif export_type == 'feedback':
|
||||
data = await self.ap.monitoring_service.export_feedback(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
)
|
||||
headers = [
|
||||
'id',
|
||||
'timestamp',
|
||||
'feedback_id',
|
||||
'feedback_type',
|
||||
'feedback_content',
|
||||
'inaccurate_reasons',
|
||||
'bot_id',
|
||||
'bot_name',
|
||||
'pipeline_id',
|
||||
'pipeline_name',
|
||||
'session_id',
|
||||
'message_id',
|
||||
'stream_id',
|
||||
'user_id',
|
||||
'platform',
|
||||
]
|
||||
else:
|
||||
return self.error(message=f'Invalid export type: {export_type}', code=400)
|
||||
|
||||
@@ -486,3 +511,63 @@ class MonitoringRouterGroup(group.RouterGroup):
|
||||
)
|
||||
|
||||
return response, 200
|
||||
|
||||
@self.route('/feedback/stats', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def get_feedback_stats() -> str:
|
||||
"""Get feedback statistics"""
|
||||
# Parse query parameters
|
||||
bot_ids = quart.request.args.getlist('botId')
|
||||
pipeline_ids = quart.request.args.getlist('pipelineId')
|
||||
start_time_str = quart.request.args.get('startTime')
|
||||
end_time_str = quart.request.args.get('endTime')
|
||||
|
||||
# Parse datetime
|
||||
start_time = parse_iso_datetime(start_time_str)
|
||||
end_time = parse_iso_datetime(end_time_str)
|
||||
|
||||
stats = await self.ap.monitoring_service.get_feedback_stats(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
)
|
||||
|
||||
return self.success(data=stats)
|
||||
|
||||
@self.route('/feedback', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def get_feedback() -> str:
|
||||
"""Get feedback list"""
|
||||
# Parse query parameters
|
||||
bot_ids = quart.request.args.getlist('botId')
|
||||
pipeline_ids = quart.request.args.getlist('pipelineId')
|
||||
feedback_type_str = quart.request.args.get('feedbackType')
|
||||
start_time_str = quart.request.args.get('startTime')
|
||||
end_time_str = quart.request.args.get('endTime')
|
||||
limit = int(quart.request.args.get('limit', 100))
|
||||
offset = int(quart.request.args.get('offset', 0))
|
||||
|
||||
# Parse datetime
|
||||
start_time = parse_iso_datetime(start_time_str)
|
||||
end_time = parse_iso_datetime(end_time_str)
|
||||
|
||||
# Parse feedback type
|
||||
feedback_type = int(feedback_type_str) if feedback_type_str else None
|
||||
|
||||
feedback_list, total = await self.ap.monitoring_service.get_feedback_list(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
feedback_type=feedback_type,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
offset=offset,
|
||||
)
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'feedback': feedback_list,
|
||||
'total': total,
|
||||
'limit': limit,
|
||||
'offset': offset,
|
||||
}
|
||||
)
|
||||
|
||||
@@ -1183,3 +1183,261 @@ class MonitoringService:
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
# ========== Feedback Methods ==========
|
||||
|
||||
async def record_feedback(
|
||||
self,
|
||||
feedback_id: str,
|
||||
feedback_type: int,
|
||||
feedback_content: str | None = None,
|
||||
inaccurate_reasons: list[str] | None = None,
|
||||
bot_id: str | None = None,
|
||||
bot_name: str | None = None,
|
||||
pipeline_id: str | None = None,
|
||||
pipeline_name: str | None = None,
|
||||
session_id: str | None = None,
|
||||
message_id: str | None = None,
|
||||
stream_id: str | None = None,
|
||||
user_id: str | None = None,
|
||||
platform: str | None = None,
|
||||
) -> str:
|
||||
"""Record user feedback (like/dislike) from AI Bot conversation.
|
||||
|
||||
Args:
|
||||
feedback_id: Unique feedback identifier from platform (e.g., WeChat Work)
|
||||
feedback_type: 1 = like (thumbs up), 2 = dislike (thumbs down)
|
||||
feedback_content: Optional user feedback text
|
||||
inaccurate_reasons: List of reasons for inaccurate response (for dislike)
|
||||
bot_id: Bot ID
|
||||
bot_name: Bot name
|
||||
pipeline_id: Pipeline ID
|
||||
pipeline_name: Pipeline name
|
||||
session_id: Session ID
|
||||
message_id: Message ID
|
||||
stream_id: Stream ID (for WeChat Work streaming messages)
|
||||
user_id: User ID
|
||||
platform: Platform name (e.g., 'wecom')
|
||||
|
||||
Returns:
|
||||
The record ID
|
||||
"""
|
||||
import json
|
||||
|
||||
record_id = str(uuid.uuid4())
|
||||
record_data = {
|
||||
'id': record_id,
|
||||
'timestamp': datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None),
|
||||
'feedback_id': feedback_id,
|
||||
'feedback_type': feedback_type,
|
||||
'feedback_content': feedback_content,
|
||||
'inaccurate_reasons': json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None,
|
||||
'bot_id': bot_id,
|
||||
'bot_name': bot_name,
|
||||
'pipeline_id': pipeline_id,
|
||||
'pipeline_name': pipeline_name,
|
||||
'session_id': session_id,
|
||||
'message_id': message_id,
|
||||
'stream_id': stream_id,
|
||||
'user_id': user_id,
|
||||
'platform': platform,
|
||||
}
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.insert(persistence_monitoring.MonitoringFeedback).values(record_data)
|
||||
)
|
||||
|
||||
return record_id
|
||||
|
||||
async def get_feedback_stats(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
) -> dict:
|
||||
"""Get feedback statistics.
|
||||
|
||||
Returns:
|
||||
Dictionary with total likes, dislikes, and breakdown by bot/pipeline
|
||||
"""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
|
||||
|
||||
# Get total likes (feedback_type = 1)
|
||||
likes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
|
||||
persistence_monitoring.MonitoringFeedback.feedback_type == 1
|
||||
)
|
||||
if conditions:
|
||||
likes_query = likes_query.where(sqlalchemy.and_(*conditions))
|
||||
likes_result = await self.ap.persistence_mgr.execute_async(likes_query)
|
||||
total_likes = likes_result.scalar() or 0
|
||||
|
||||
# Get total dislikes (feedback_type = 2)
|
||||
dislikes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
|
||||
persistence_monitoring.MonitoringFeedback.feedback_type == 2
|
||||
)
|
||||
if conditions:
|
||||
dislikes_query = dislikes_query.where(sqlalchemy.and_(*conditions))
|
||||
dislikes_result = await self.ap.persistence_mgr.execute_async(dislikes_query)
|
||||
total_dislikes = dislikes_result.scalar() or 0
|
||||
|
||||
# Get total feedback count
|
||||
total_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
|
||||
if conditions:
|
||||
total_query = total_query.where(sqlalchemy.and_(*conditions))
|
||||
total_result = await self.ap.persistence_mgr.execute_async(total_query)
|
||||
total_feedback = total_result.scalar() or 0
|
||||
|
||||
# Calculate satisfaction rate
|
||||
satisfaction_rate = (total_likes / total_feedback * 100) if total_feedback > 0 else 0
|
||||
|
||||
# Get feedback by bot
|
||||
bot_stats_query = sqlalchemy.select(
|
||||
persistence_monitoring.MonitoringFeedback.bot_id,
|
||||
persistence_monitoring.MonitoringFeedback.bot_name,
|
||||
sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id).label('total'),
|
||||
sqlalchemy.func.sum(
|
||||
sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 1, 1), else_=0)
|
||||
).label('likes'),
|
||||
sqlalchemy.func.sum(
|
||||
sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 2, 1), else_=0)
|
||||
).label('dislikes'),
|
||||
).group_by(
|
||||
persistence_monitoring.MonitoringFeedback.bot_id,
|
||||
persistence_monitoring.MonitoringFeedback.bot_name,
|
||||
)
|
||||
if conditions:
|
||||
bot_stats_query = bot_stats_query.where(sqlalchemy.and_(*conditions))
|
||||
bot_stats_result = await self.ap.persistence_mgr.execute_async(bot_stats_query)
|
||||
bot_stats = [
|
||||
{
|
||||
'bot_id': row.bot_id,
|
||||
'bot_name': row.bot_name,
|
||||
'total': row.total,
|
||||
'likes': row.likes or 0,
|
||||
'dislikes': row.dislikes or 0,
|
||||
}
|
||||
for row in bot_stats_result.all()
|
||||
]
|
||||
|
||||
return {
|
||||
'total_feedback': total_feedback,
|
||||
'total_likes': total_likes,
|
||||
'total_dislikes': total_dislikes,
|
||||
'satisfaction_rate': round(satisfaction_rate, 2),
|
||||
'by_bot': bot_stats,
|
||||
}
|
||||
|
||||
async def get_feedback_list(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
feedback_type: int | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
limit: int = 100,
|
||||
offset: int = 0,
|
||||
) -> tuple[list[dict], int]:
|
||||
"""Get feedback list with filters."""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
|
||||
if feedback_type is not None:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.feedback_type == feedback_type)
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
|
||||
|
||||
# Get total count
|
||||
count_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
|
||||
if conditions:
|
||||
count_query = count_query.where(sqlalchemy.and_(*conditions))
|
||||
count_result = await self.ap.persistence_mgr.execute_async(count_query)
|
||||
total = count_result.scalar() or 0
|
||||
|
||||
# Get feedback list
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
|
||||
persistence_monitoring.MonitoringFeedback.timestamp.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
query = query.limit(limit).offset(offset)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return (
|
||||
[
|
||||
self.ap.persistence_mgr.serialize_model(
|
||||
persistence_monitoring.MonitoringFeedback, row[0] if isinstance(row, tuple) else row
|
||||
)
|
||||
for row in rows
|
||||
],
|
||||
total,
|
||||
)
|
||||
|
||||
async def export_feedback(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
limit: int = 100000,
|
||||
) -> list[dict]:
|
||||
"""Export feedback as list of dictionaries for CSV conversion."""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
|
||||
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
|
||||
persistence_monitoring.MonitoringFeedback.timestamp.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
query = query.limit(limit)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return [
|
||||
{
|
||||
'id': row[0].id if isinstance(row, tuple) else row.id,
|
||||
'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
|
||||
'feedback_id': row[0].feedback_id if isinstance(row, tuple) else row.feedback_id,
|
||||
'feedback_type': 'like'
|
||||
if (row[0].feedback_type if isinstance(row, tuple) else row.feedback_type) == 1
|
||||
else 'dislike',
|
||||
'feedback_content': row[0].feedback_content if isinstance(row, tuple) else row.feedback_content,
|
||||
'inaccurate_reasons': row[0].inaccurate_reasons if isinstance(row, tuple) else row.inaccurate_reasons,
|
||||
'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
|
||||
'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
|
||||
'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
|
||||
'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
|
||||
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
|
||||
'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
|
||||
'stream_id': row[0].stream_id if isinstance(row, tuple) else row.stream_id,
|
||||
'user_id': row[0].user_id if isinstance(row, tuple) else row.user_id,
|
||||
'platform': row[0].platform if isinstance(row, tuple) else row.platform,
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
@@ -106,3 +106,26 @@ class MonitoringEmbeddingCall(Base):
|
||||
session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
call_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True) # embedding, retrieve
|
||||
|
||||
|
||||
class MonitoringFeedback(Base):
|
||||
"""User feedback records (like/dislike) from AI Bot conversations"""
|
||||
|
||||
__tablename__ = 'monitoring_feedback'
|
||||
|
||||
id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
|
||||
timestamp = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, index=True)
|
||||
feedback_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, unique=True, index=True)
|
||||
feedback_type = sqlalchemy.Column(sqlalchemy.Integer, nullable=False) # 1=like, 2=dislike
|
||||
feedback_content = sqlalchemy.Column(sqlalchemy.Text, nullable=True) # User feedback text
|
||||
inaccurate_reasons = sqlalchemy.Column(sqlalchemy.Text, nullable=True) # JSON list of inaccurate reasons
|
||||
# Context fields
|
||||
bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
bot_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
pipeline_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
stream_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
|
||||
user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True) # e.g., wecom
|
||||
|
||||
@@ -9,6 +9,7 @@ from ..core import app, entities as core_entities, taskmgr
|
||||
from ..discover import engine
|
||||
|
||||
from ..entity.persistence import bot as persistence_bot
|
||||
from ..entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
from ..entity.errors import platform as platform_errors
|
||||
|
||||
@@ -141,6 +142,50 @@ class RuntimeBot:
|
||||
self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
|
||||
self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
|
||||
|
||||
# Register feedback listener (only effective on adapters that support it)
|
||||
async def on_feedback(
|
||||
event: platform_events.FeedbackEvent,
|
||||
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
|
||||
):
|
||||
try:
|
||||
# Resolve pipeline name
|
||||
pipeline_name = ''
|
||||
if self.bot_entity.use_pipeline_uuid:
|
||||
try:
|
||||
pipeline_result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_pipeline.LegacyPipeline.name).where(
|
||||
persistence_pipeline.LegacyPipeline.uuid == self.bot_entity.use_pipeline_uuid
|
||||
)
|
||||
)
|
||||
pipeline_row = pipeline_result.first()
|
||||
if pipeline_row:
|
||||
pipeline_name = pipeline_row[0]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
await self.ap.monitoring_service.record_feedback(
|
||||
feedback_id=event.feedback_id,
|
||||
feedback_type=event.feedback_type,
|
||||
feedback_content=event.feedback_content,
|
||||
inaccurate_reasons=event.inaccurate_reasons,
|
||||
bot_id=self.bot_entity.uuid,
|
||||
bot_name=self.bot_entity.name,
|
||||
pipeline_id=self.bot_entity.use_pipeline_uuid or '',
|
||||
pipeline_name=pipeline_name,
|
||||
session_id=event.session_id,
|
||||
message_id=event.message_id,
|
||||
stream_id=event.stream_id,
|
||||
user_id=event.user_id,
|
||||
platform=adapter.__class__.__name__,
|
||||
)
|
||||
await self.logger.info(
|
||||
f'Recorded feedback: feedback_id={event.feedback_id}, type={event.feedback_type}'
|
||||
)
|
||||
except Exception:
|
||||
await self.logger.error(f'Failed to record feedback: {traceback.format_exc()}')
|
||||
|
||||
self.adapter.register_listener(platform_events.FeedbackEvent, on_feedback)
|
||||
|
||||
async def run(self):
|
||||
async def exception_wrapper():
|
||||
try:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- protocol
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/aiocqhttp
|
||||
en: https://link.langbot.app/en/platforms/aiocqhttp
|
||||
ja: https://link.langbot.app/ja/platforms/aiocqhttp
|
||||
config:
|
||||
- name: host
|
||||
label:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/dingtalk
|
||||
en: https://link.langbot.app/en/platforms/dingtalk
|
||||
ja: https://link.langbot.app/ja/platforms/dingtalk
|
||||
config:
|
||||
- name: client_id
|
||||
label:
|
||||
|
||||
@@ -23,6 +23,10 @@ spec:
|
||||
categories:
|
||||
- popular
|
||||
- global
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/discord
|
||||
en: https://link.langbot.app/en/platforms/discord
|
||||
ja: https://link.langbot.app/ja/platforms/discord
|
||||
config:
|
||||
- name: client_id
|
||||
label:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/kook
|
||||
en: https://link.langbot.app/en/platforms/kook
|
||||
ja: https://link.langbot.app/ja/platforms/kook
|
||||
config:
|
||||
- name: token
|
||||
label:
|
||||
|
||||
@@ -18,6 +18,10 @@ spec:
|
||||
- popular
|
||||
- china
|
||||
- global
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/lark
|
||||
en: https://link.langbot.app/en/platforms/lark
|
||||
ja: https://link.langbot.app/ja/platforms/lark
|
||||
config:
|
||||
- name: app_id
|
||||
label:
|
||||
|
||||
@@ -21,6 +21,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- global
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/line
|
||||
en: https://link.langbot.app/en/platforms/line
|
||||
ja: https://link.langbot.app/ja/platforms/line
|
||||
config:
|
||||
- name: webhook_url
|
||||
label:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/officialaccount
|
||||
en: https://link.langbot.app/en/platforms/officialaccount
|
||||
ja: https://link.langbot.app/ja/platforms/officialaccount
|
||||
config:
|
||||
- name: webhook_url
|
||||
label:
|
||||
|
||||
@@ -15,6 +15,10 @@ spec:
|
||||
categories:
|
||||
- popular
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/openclaw_weixin
|
||||
en: https://link.langbot.app/en/platforms/openclaw_weixin
|
||||
ja: https://link.langbot.app/ja/platforms/openclaw_weixin
|
||||
config:
|
||||
- name: base_url
|
||||
label:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/qqofficial
|
||||
en: https://link.langbot.app/en/platforms/qqofficial
|
||||
ja: https://link.langbot.app/ja/platforms/qqofficial
|
||||
config:
|
||||
- name: webhook_url
|
||||
label:
|
||||
|
||||
@@ -20,6 +20,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- protocol
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/satori
|
||||
en: https://link.langbot.app/en/platforms/satori
|
||||
ja: https://link.langbot.app/ja/platforms/satori
|
||||
config:
|
||||
- name: platform
|
||||
label:
|
||||
|
||||
@@ -23,6 +23,10 @@ spec:
|
||||
categories:
|
||||
- popular
|
||||
- global
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/slack
|
||||
en: https://link.langbot.app/en/platforms/slack
|
||||
ja: https://link.langbot.app/ja/platforms/slack
|
||||
config:
|
||||
- name: webhook_url
|
||||
label:
|
||||
|
||||
@@ -23,6 +23,10 @@ spec:
|
||||
categories:
|
||||
- popular
|
||||
- global
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/telegram
|
||||
en: https://link.langbot.app/en/platforms/telegram
|
||||
ja: https://link.langbot.app/ja/platforms/telegram
|
||||
config:
|
||||
- name: token
|
||||
label:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/wechatpad
|
||||
en: https://link.langbot.app/en/platforms/wechatpad
|
||||
ja: https://link.langbot.app/ja/platforms/wechatpad
|
||||
config:
|
||||
- name: wechatpad_url
|
||||
label:
|
||||
|
||||
@@ -15,6 +15,10 @@ spec:
|
||||
categories:
|
||||
- popular
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/wecom
|
||||
en: https://link.langbot.app/en/platforms/wecom
|
||||
ja: https://link.langbot.app/ja/platforms/wecom
|
||||
config:
|
||||
- name: webhook_url
|
||||
label:
|
||||
|
||||
@@ -311,6 +311,9 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
self.bot.on_message('single')(self.on_message)
|
||||
elif event_type == platform_events.GroupMessage:
|
||||
self.bot.on_message('group')(self.on_message)
|
||||
elif event_type == platform_events.FeedbackEvent:
|
||||
if hasattr(self.bot, 'on_feedback'):
|
||||
self.bot.on_feedback()(self._on_feedback)
|
||||
except Exception:
|
||||
print(traceback.format_exc())
|
||||
|
||||
@@ -318,6 +321,45 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
async def _on_feedback(self, **kwargs):
|
||||
"""Handle feedback event from WeChat Work AI Bot SDK and dispatch as FeedbackEvent."""
|
||||
try:
|
||||
feedback_id = kwargs.get('feedback_id', '')
|
||||
feedback_type = kwargs.get('feedback_type', 0)
|
||||
feedback_content = kwargs.get('feedback_content', '') or None
|
||||
inaccurate_reasons = kwargs.get('inaccurate_reasons', []) or None
|
||||
session = kwargs.get('session')
|
||||
|
||||
session_id = None
|
||||
user_id = None
|
||||
message_id = None
|
||||
stream_id = None
|
||||
if session:
|
||||
if session.chat_id:
|
||||
session_id = f'group_{session.chat_id}'
|
||||
elif session.user_id:
|
||||
session_id = f'person_{session.user_id}'
|
||||
user_id = session.user_id
|
||||
message_id = session.msg_id
|
||||
stream_id = session.stream_id
|
||||
|
||||
event = platform_events.FeedbackEvent(
|
||||
feedback_id=feedback_id,
|
||||
feedback_type=feedback_type,
|
||||
feedback_content=feedback_content,
|
||||
inaccurate_reasons=inaccurate_reasons,
|
||||
user_id=user_id,
|
||||
session_id=session_id,
|
||||
message_id=message_id,
|
||||
stream_id=stream_id,
|
||||
source_platform_object=session,
|
||||
)
|
||||
|
||||
if platform_events.FeedbackEvent in self.listeners:
|
||||
await self.listeners[platform_events.FeedbackEvent](event, self)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in wecombot feedback callback: {traceback.format_exc()}')
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
_ws_mode = not self.config.get('enable-webhook', False)
|
||||
if _ws_mode:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/wecombot
|
||||
en: https://link.langbot.app/en/platforms/wecombot
|
||||
ja: https://link.langbot.app/ja/platforms/wecombot
|
||||
config:
|
||||
- name: BotId
|
||||
label:
|
||||
|
||||
@@ -14,6 +14,10 @@ metadata:
|
||||
spec:
|
||||
categories:
|
||||
- china
|
||||
help_links:
|
||||
zh: https://link.langbot.app/zh/platforms/wecomcs
|
||||
en: https://link.langbot.app/en/platforms/wecomcs
|
||||
ja: https://link.langbot.app/ja/platforms/wecomcs
|
||||
config:
|
||||
- name: webhook_url
|
||||
label:
|
||||
|
||||
@@ -203,7 +203,7 @@ class VersionManager:
|
||||
try:
|
||||
if await self.ap.ver_mgr.is_new_version_available():
|
||||
return (
|
||||
'New version available:\n有新版本可用，根据文档更新: \nhttps://docs.langbot.app/zh/deploy/update.html',
|
||||
'New version available:\n有新版本可用，根据文档更新: \nhttps://link.langbot.app/zh/docs/update',
|
||||
logging.INFO,
|
||||
)
|
||||
|
||||
|
||||
10
uv.lock
generated
10
uv.lock
generated
@@ -1832,7 +1832,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langbot"
|
||||
version = "4.9.4"
|
||||
version = "4.9.5"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "aiocqhttp" },
|
||||
@@ -1937,7 +1937,7 @@ requires-dist = [
|
||||
{ name = "ebooklib", specifier = ">=0.18" },
|
||||
{ name = "gewechat-client", specifier = ">=0.1.5" },
|
||||
{ name = "html2text", specifier = ">=2024.2.26" },
|
||||
{ name = "langbot-plugin", specifier = "==0.3.5" },
|
||||
{ name = "langbot-plugin", specifier = "==0.3.6" },
|
||||
{ name = "langchain", specifier = ">=0.2.0" },
|
||||
{ name = "langchain-text-splitters", specifier = ">=0.0.1" },
|
||||
{ name = "lark-oapi", specifier = ">=1.4.15" },
|
||||
@@ -1993,7 +1993,7 @@ dev = [
|
||||
|
||||
[[package]]
|
||||
name = "langbot-plugin"
|
||||
version = "0.3.5"
|
||||
version = "0.3.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiofiles" },
|
||||
@@ -2011,9 +2011,9 @@ dependencies = [
|
||||
{ name = "watchdog" },
|
||||
{ name = "websockets" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/1c/8f/0a22e4461b0893ac2afb1b6aaebafe04c921df6dbbf4b8bd6c83cf6a97b2/langbot_plugin-0.3.5.tar.gz", hash = "sha256:79c7feb08f788f480435de8cdefc3cfed4de2dfb03978a460251b8c9d1c271d3", size = 171927, upload-time = "2026-03-25T13:53:18.334Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ff/f0/e5561bd1ebda0b9345ad6b98718b5f002bb3ca79b5ec294dc77cc10957b9/langbot_plugin-0.3.6.tar.gz", hash = "sha256:20db981e416a640f22246e54517abc2a095d8ccf5e69e06c2674fb8a443f5dbe", size = 179266, upload-time = "2026-03-30T15:58:58.523Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/cd/93/fdd4eb54434a358a3917aec74190e2e1b64351a5bb955677f634d29fc4fd/langbot_plugin-0.3.5-py3-none-any.whl", hash = "sha256:4d31f92338e1e2dc343ae00982e4facbe7abae84f4d1c4e1375cdcac9d7155d7", size = 146575, upload-time = "2026-03-25T13:53:16.987Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a3/f5/ac424c2620e1be98a54a0b8ec0ed256a9c06cea7cd32a30732a1aea5fdc5/langbot_plugin-0.3.6-py3-none-any.whl", hash = "sha256:3238448436c41d50a0a0cf37438d845f0a1371159d440af3411a984e3d4e9eb7", size = 156752, upload-time = "2026-03-30T15:59:00.229Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -1 +1 @@
|
||||
NEXT_PUBLIC_API_BASE_URL=http://192.168.1.97:5300
|
||||
NEXT_PUBLIC_API_BASE_URL=http://localhost:5300
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
# Debug LangBot Frontend
|
||||
|
||||
Please refer to the [Development Guide](https://docs.langbot.app/en/develop/dev-config.html) for more information.
|
||||
Please refer to the [Development Guide](https://link.langbot.app/en/docs/dev-config) for more information.
|
||||
|
||||
4375
web/pnpm-lock.yaml
generated
4375
web/pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
@@ -1,4 +1,5 @@
|
||||
import React, { useEffect, useMemo, useRef, useState } from 'react';
|
||||
import i18n from 'i18next';
|
||||
import {
|
||||
IChooseAdapterEntity,
|
||||
IPipelineEntity,
|
||||
@@ -13,6 +14,8 @@ import { UUID } from 'uuidjs';
|
||||
import DynamicFormComponent from '@/app/home/components/dynamic-form/DynamicFormComponent';
|
||||
import { httpClient } from '@/app/infra/http/HttpClient';
|
||||
import { Bot } from '@/app/infra/entities/api';
|
||||
import { getAdapterDocUrl } from '@/app/infra/entities/adapter-docs';
|
||||
import { ExternalLink } from 'lucide-react';
|
||||
|
||||
import { zodResolver } from '@hookform/resolvers/zod';
|
||||
import { useForm } from 'react-hook-form';
|
||||
@@ -102,6 +105,9 @@ export default function BotForm({
|
||||
const [adapterDescriptionList, setAdapterDescriptionList] = useState<
|
||||
Record<string, string>
|
||||
>({});
|
||||
const [adapterHelpLinks, setAdapterHelpLinks] = useState<
|
||||
Record<string, Record<string, string>>
|
||||
>({});
|
||||
|
||||
const [pipelineNameList, setPipelineNameList] = useState<IPipelineEntity[]>(
|
||||
[],
|
||||
@@ -209,6 +215,18 @@ export default function BotForm({
|
||||
),
|
||||
);
|
||||
|
||||
setAdapterHelpLinks(
|
||||
adaptersRes.adapters.reduce(
|
||||
(acc, item) => {
|
||||
if (item.spec.help_links) {
|
||||
acc[item.name] = item.spec.help_links;
|
||||
}
|
||||
return acc;
|
||||
},
|
||||
{} as Record<string, Record<string, string>>,
|
||||
),
|
||||
);
|
||||
|
||||
adaptersRes.adapters.forEach((rawAdapter) => {
|
||||
adapterNameToDynamicConfigMap.set(
|
||||
rawAdapter.name,
|
||||
@@ -469,59 +487,81 @@ export default function BotForm({
|
||||
<span className="text-destructive">*</span>
|
||||
</FormLabel>
|
||||
<FormControl>
|
||||
<Select
|
||||
onValueChange={(value) => {
|
||||
field.onChange(value);
|
||||
handleAdapterSelect(value);
|
||||
}}
|
||||
value={field.value}
|
||||
>
|
||||
<SelectTrigger className="w-[240px]">
|
||||
{field.value ? (
|
||||
<div className="flex items-center gap-2">
|
||||
<img
|
||||
src={httpClient.getAdapterIconURL(field.value)}
|
||||
alt=""
|
||||
className="h-5 w-5 rounded"
|
||||
<div className="flex items-center gap-2">
|
||||
<Select
|
||||
onValueChange={(value) => {
|
||||
field.onChange(value);
|
||||
handleAdapterSelect(value);
|
||||
}}
|
||||
value={field.value}
|
||||
>
|
||||
<SelectTrigger className="w-[240px]">
|
||||
{field.value ? (
|
||||
<div className="flex items-center gap-2">
|
||||
<img
|
||||
src={httpClient.getAdapterIconURL(field.value)}
|
||||
alt=""
|
||||
className="h-5 w-5 rounded"
|
||||
/>
|
||||
<span>
|
||||
{adapterNameList.find(
|
||||
(a) => a.value === field.value,
|
||||
)?.label ?? field.value}
|
||||
</span>
|
||||
</div>
|
||||
) : (
|
||||
<SelectValue
|
||||
placeholder={t('bots.selectAdapter')}
|
||||
/>
|
||||
<span>
|
||||
{adapterNameList.find(
|
||||
(a) => a.value === field.value,
|
||||
)?.label ?? field.value}
|
||||
</span>
|
||||
</div>
|
||||
) : (
|
||||
<SelectValue placeholder={t('bots.selectAdapter')} />
|
||||
)}
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
{groupedAdapters.map((group) => (
|
||||
<SelectGroup
|
||||
key={group.categoryId ?? 'uncategorized'}
|
||||
>
|
||||
{group.categoryId && (
|
||||
<SelectLabel>
|
||||
{getCategoryLabel(t, group.categoryId)}
|
||||
</SelectLabel>
|
||||
)}
|
||||
{group.items.map((item) => (
|
||||
<SelectItem key={item.value} value={item.value}>
|
||||
<div className="flex items-center gap-2">
|
||||
<img
|
||||
src={httpClient.getAdapterIconURL(
|
||||
item.value,
|
||||
)}
|
||||
alt=""
|
||||
className="h-5 w-5 rounded"
|
||||
/>
|
||||
<span>{item.label}</span>
|
||||
</div>
|
||||
</SelectItem>
|
||||
))}
|
||||
</SelectGroup>
|
||||
))}
|
||||
</SelectContent>
|
||||
</Select>
|
||||
)}
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
{groupedAdapters.map((group) => (
|
||||
<SelectGroup
|
||||
key={group.categoryId ?? 'uncategorized'}
|
||||
>
|
||||
{group.categoryId && (
|
||||
<SelectLabel>
|
||||
{getCategoryLabel(t, group.categoryId)}
|
||||
</SelectLabel>
|
||||
)}
|
||||
{group.items.map((item) => (
|
||||
<SelectItem key={item.value} value={item.value}>
|
||||
<div className="flex items-center gap-2">
|
||||
<img
|
||||
src={httpClient.getAdapterIconURL(
|
||||
item.value,
|
||||
)}
|
||||
alt=""
|
||||
className="h-5 w-5 rounded"
|
||||
/>
|
||||
<span>{item.label}</span>
|
||||
</div>
|
||||
</SelectItem>
|
||||
))}
|
||||
</SelectGroup>
|
||||
))}
|
||||
</SelectContent>
|
||||
</Select>
|
||||
{currentAdapter &&
|
||||
(() => {
|
||||
const docUrl = getAdapterDocUrl(
|
||||
adapterHelpLinks[currentAdapter],
|
||||
i18n.language,
|
||||
);
|
||||
return docUrl ? (
|
||||
<a
|
||||
href={docUrl}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="inline-flex shrink-0 items-center gap-1 text-xs text-primary hover:underline"
|
||||
>
|
||||
{t('bots.viewAdapterDocs')}
|
||||
<ExternalLink className="h-3 w-3" />
|
||||
</a>
|
||||
) : null;
|
||||
})()}
|
||||
</div>
|
||||
</FormControl>
|
||||
{currentAdapter && adapterDescriptionList[currentAdapter] && (
|
||||
<FormDescription>
|
||||
|
||||
@@ -1423,12 +1423,12 @@ export default function HomeSidebar({
|
||||
localStorage.getItem('langbot_language');
|
||||
if (language === 'zh-Hans' || language === 'zh-Hant') {
|
||||
window.open(
|
||||
'https://docs.langbot.app/zh/insight/guide',
|
||||
'https://link.langbot.app/zh/docs/guide',
|
||||
'_blank',
|
||||
);
|
||||
} else {
|
||||
window.open(
|
||||
'https://docs.langbot.app/en/insight/guide',
|
||||
'https://link.langbot.app/en/docs/guide',
|
||||
'_blank',
|
||||
);
|
||||
}
|
||||
|
||||
@@ -67,9 +67,9 @@ export const sidebarConfigList = [
|
||||
route: '/home/bots',
|
||||
description: t('bots.description'),
|
||||
helpLink: {
|
||||
en_US: 'https://docs.langbot.app/en/usage/platforms/readme',
|
||||
zh_Hans: 'https://docs.langbot.app/zh/usage/platforms/readme',
|
||||
ja_JP: 'https://docs.langbot.app/ja/usage/platforms/readme',
|
||||
en_US: 'https://link.langbot.app/en/docs/platforms',
|
||||
zh_Hans: 'https://link.langbot.app/zh/docs/platforms',
|
||||
ja_JP: 'https://link.langbot.app/ja/docs/platforms',
|
||||
},
|
||||
section: 'home',
|
||||
}),
|
||||
@@ -89,9 +89,9 @@ export const sidebarConfigList = [
|
||||
route: '/home/pipelines',
|
||||
description: t('pipelines.description'),
|
||||
helpLink: {
|
||||
en_US: 'https://docs.langbot.app/en/usage/pipelines/readme',
|
||||
zh_Hans: 'https://docs.langbot.app/zh/usage/pipelines/readme',
|
||||
ja_JP: 'https://docs.langbot.app/ja/usage/pipelines/readme',
|
||||
en_US: 'https://link.langbot.app/en/docs/pipelines',
|
||||
zh_Hans: 'https://link.langbot.app/zh/docs/pipelines',
|
||||
ja_JP: 'https://link.langbot.app/ja/docs/pipelines',
|
||||
},
|
||||
section: 'home',
|
||||
}),
|
||||
@@ -111,9 +111,9 @@ export const sidebarConfigList = [
|
||||
route: '/home/knowledge',
|
||||
description: t('knowledge.description'),
|
||||
helpLink: {
|
||||
en_US: 'https://docs.langbot.app/en/usage/knowledge/readme',
|
||||
zh_Hans: 'https://docs.langbot.app/zh/usage/knowledge/readme',
|
||||
ja_JP: 'https://docs.langbot.app/ja/usage/knowledge/readme',
|
||||
en_US: 'https://link.langbot.app/en/docs/knowledge',
|
||||
zh_Hans: 'https://link.langbot.app/zh/docs/knowledge',
|
||||
ja_JP: 'https://link.langbot.app/ja/docs/knowledge',
|
||||
},
|
||||
section: 'home',
|
||||
}),
|
||||
@@ -135,9 +135,9 @@ export const sidebarConfigList = [
|
||||
route: '/home/plugins',
|
||||
description: t('plugins.description'),
|
||||
helpLink: {
|
||||
en_US: 'https://docs.langbot.app/en/usage/plugin/plugin-intro',
|
||||
zh_Hans: 'https://docs.langbot.app/zh/usage/plugin/plugin-intro',
|
||||
ja_JP: 'https://docs.langbot.app/ja/usage/plugin/plugin-intro',
|
||||
en_US: 'https://link.langbot.app/en/docs/plugins',
|
||||
zh_Hans: 'https://link.langbot.app/zh/docs/plugins',
|
||||
ja_JP: 'https://link.langbot.app/ja/docs/plugins',
|
||||
},
|
||||
section: 'extensions',
|
||||
}),
|
||||
@@ -157,9 +157,9 @@ export const sidebarConfigList = [
|
||||
route: '/home/market',
|
||||
description: t('plugins.description'),
|
||||
helpLink: {
|
||||
en_US: 'https://docs.langbot.app/en/usage/plugin/plugin-intro',
|
||||
zh_Hans: 'https://docs.langbot.app/zh/usage/plugin/plugin-intro',
|
||||
ja_JP: 'https://docs.langbot.app/ja/usage/plugin/plugin-intro',
|
||||
en_US: 'https://link.langbot.app/en/docs/plugins',
|
||||
zh_Hans: 'https://link.langbot.app/zh/docs/plugins',
|
||||
ja_JP: 'https://link.langbot.app/ja/docs/plugins',
|
||||
},
|
||||
section: 'extensions',
|
||||
}),
|
||||
|
||||
@@ -36,11 +36,11 @@ export default function NewVersionDialog({
|
||||
const getUpdateDocsUrl = () => {
|
||||
const language = i18n.language;
|
||||
if (language === 'zh-Hans' || language === 'zh-Hant') {
|
||||
return 'https://docs.langbot.app/zh/deploy/update';
|
||||
return 'https://link.langbot.app/zh/docs/update';
|
||||
} else if (language === 'ja-JP') {
|
||||
return 'https://docs.langbot.app/ja/deploy/update';
|
||||
return 'https://link.langbot.app/ja/docs/update';
|
||||
} else {
|
||||
return 'https://docs.langbot.app/en/deploy/update';
|
||||
return 'https://link.langbot.app/en/docs/update';
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
187
web/src/app/home/monitoring/components/FeedbackCard.tsx
Normal file
187
web/src/app/home/monitoring/components/FeedbackCard.tsx
Normal file
@@ -0,0 +1,187 @@
|
||||
'use client';
|
||||
|
||||
import React from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import {
|
||||
ThumbsUp,
|
||||
ThumbsDown,
|
||||
TrendingUp,
|
||||
TrendingDown,
|
||||
Minus,
|
||||
} from 'lucide-react';
|
||||
|
||||
interface FeedbackCardProps {
|
||||
title: string;
|
||||
value: number | string;
|
||||
subtitle?: string;
|
||||
icon: React.ReactNode;
|
||||
trend?: {
|
||||
value: number;
|
||||
direction: 'up' | 'down' | 'neutral';
|
||||
};
|
||||
variant?: 'default' | 'success' | 'warning' | 'danger';
|
||||
loading?: boolean;
|
||||
}
|
||||
|
||||
export function FeedbackCard({
|
||||
title,
|
||||
value,
|
||||
subtitle,
|
||||
icon,
|
||||
trend,
|
||||
variant = 'default',
|
||||
loading = false,
|
||||
}: FeedbackCardProps) {
|
||||
const variantStyles = {
|
||||
default: 'bg-white dark:bg-[#2a2a2e] border-gray-200 dark:border-gray-700',
|
||||
success:
|
||||
'bg-green-50 dark:bg-green-900/20 border-green-200 dark:border-green-800',
|
||||
warning:
|
||||
'bg-yellow-50 dark:bg-yellow-900/20 border-yellow-200 dark:border-yellow-800',
|
||||
danger: 'bg-red-50 dark:bg-red-900/20 border-red-200 dark:border-red-800',
|
||||
};
|
||||
|
||||
const iconStyles = {
|
||||
default: 'text-gray-500 dark:text-gray-400',
|
||||
success: 'text-green-500 dark:text-green-400',
|
||||
warning: 'text-yellow-500 dark:text-yellow-400',
|
||||
danger: 'text-red-500 dark:text-red-400',
|
||||
};
|
||||
|
||||
const trendStyles = {
|
||||
up: 'text-green-500',
|
||||
down: 'text-red-500',
|
||||
neutral: 'text-gray-500',
|
||||
};
|
||||
|
||||
if (loading) {
|
||||
return (
|
||||
<div
|
||||
className={`p-6 rounded-xl border shadow-sm ${variantStyles.default} animate-pulse`}
|
||||
>
|
||||
<div className="flex items-start justify-between">
|
||||
<div className="flex-1">
|
||||
<div className="h-4 bg-gray-200 dark:bg-gray-700 rounded w-20 mb-2" />
|
||||
<div className="h-8 bg-gray-200 dark:bg-gray-700 rounded w-16 mb-1" />
|
||||
<div className="h-3 bg-gray-200 dark:bg-gray-700 rounded w-24" />
|
||||
</div>
|
||||
<div className="w-10 h-10 bg-gray-200 dark:bg-gray-700 rounded-lg" />
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
className={`p-6 rounded-xl border shadow-sm ${variantStyles[variant]}`}
|
||||
>
|
||||
<div className="flex items-start justify-between">
|
||||
<div className="flex-1">
|
||||
<p className="text-sm font-medium text-gray-500 dark:text-gray-400 mb-1">
|
||||
{title}
|
||||
</p>
|
||||
<p className="text-2xl font-bold text-gray-900 dark:text-white">
|
||||
{value}
|
||||
</p>
|
||||
{subtitle && (
|
||||
<p className="text-xs text-gray-400 dark:text-gray-500 mt-1">
|
||||
{subtitle}
|
||||
</p>
|
||||
)}
|
||||
{trend && (
|
||||
<div
|
||||
className={`flex items-center mt-2 text-sm ${trendStyles[trend.direction]}`}
|
||||
>
|
||||
{trend.direction === 'up' && (
|
||||
<TrendingUp className="w-4 h-4 mr-1" />
|
||||
)}
|
||||
{trend.direction === 'down' && (
|
||||
<TrendingDown className="w-4 h-4 mr-1" />
|
||||
)}
|
||||
{trend.direction === 'neutral' && (
|
||||
<Minus className="w-4 h-4 mr-1" />
|
||||
)}
|
||||
<span>
|
||||
{trend.value > 0 ? '+' : ''}
|
||||
{trend.value}%
|
||||
</span>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<div
|
||||
className={`p-3 rounded-lg bg-gray-100 dark:bg-gray-800 ${iconStyles[variant]}`}
|
||||
>
|
||||
{icon}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
interface FeedbackStatsProps {
|
||||
stats: {
|
||||
totalFeedback: number;
|
||||
totalLikes: number;
|
||||
totalDislikes: number;
|
||||
satisfactionRate: number;
|
||||
} | null;
|
||||
loading?: boolean;
|
||||
}
|
||||
|
||||
export function FeedbackStatsCards({ stats, loading }: FeedbackStatsProps) {
|
||||
const { t } = useTranslation();
|
||||
|
||||
const cards = [
|
||||
{
|
||||
title: t('monitoring.feedback.totalFeedback'),
|
||||
value: stats?.totalFeedback ?? 0,
|
||||
icon: (
|
||||
<svg className="w-6 h-6" viewBox="0 0 24 24" fill="currentColor">
|
||||
<path d="M12 21.35l-1.45-1.32C5.4 15.36 2 12.28 2 8.5 2 5.42 4.42 3 7.5 3c1.74 0 3.41.81 4.5 2.09C13.09 3.81 14.76 3 16.5 3 19.58 3 22 5.42 22 8.5c0 3.78-3.4 6.86-8.55 11.54L12 21.35z" />
|
||||
</svg>
|
||||
),
|
||||
variant: 'default' as const,
|
||||
},
|
||||
{
|
||||
title: t('monitoring.feedback.totalLikes'),
|
||||
value: stats?.totalLikes ?? 0,
|
||||
icon: <ThumbsUp className="w-6 h-6" />,
|
||||
variant: 'success' as const,
|
||||
},
|
||||
{
|
||||
title: t('monitoring.feedback.totalDislikes'),
|
||||
value: stats?.totalDislikes ?? 0,
|
||||
icon: <ThumbsDown className="w-6 h-6" />,
|
||||
variant: 'danger' as const,
|
||||
},
|
||||
{
|
||||
title: t('monitoring.feedback.satisfactionRate'),
|
||||
value: stats ? `${stats.satisfactionRate}%` : '0%',
|
||||
icon: (
|
||||
<svg className="w-6 h-6" viewBox="0 0 24 24" fill="currentColor">
|
||||
<path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm3.5-9c.83 0 1.5-.67 1.5-1.5S16.33 8 15.5 8 14 8.67 14 9.5s.67 1.5 1.5 1.5zm-7 0c.83 0 1.5-.67 1.5-1.5S9.33 8 8.5 8 7 8.67 7 9.5 7.67 11 8.5 11zm3.5 6.5c2.33 0 4.31-1.46 5.11-3.5H6.89c.8 2.04 2.78 3.5 5.11 3.5z" />
|
||||
</svg>
|
||||
),
|
||||
variant: (stats && stats.satisfactionRate >= 80
|
||||
? 'success'
|
||||
: stats && stats.satisfactionRate >= 50
|
||||
? 'warning'
|
||||
: 'danger') as 'default' | 'success' | 'warning' | 'danger',
|
||||
},
|
||||
];
|
||||
|
||||
return (
|
||||
<div className="grid grid-cols-1 md:grid-cols-2 xl:grid-cols-4 gap-6">
|
||||
{cards.map((card, index) => (
|
||||
<FeedbackCard
|
||||
key={index}
|
||||
title={card.title}
|
||||
value={card.value}
|
||||
icon={card.icon}
|
||||
variant={card.variant}
|
||||
loading={loading}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
275
web/src/app/home/monitoring/components/FeedbackList.tsx
Normal file
275
web/src/app/home/monitoring/components/FeedbackList.tsx
Normal file
@@ -0,0 +1,275 @@
|
||||
'use client';
|
||||
|
||||
import React from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import {
|
||||
ThumbsUp,
|
||||
ThumbsDown,
|
||||
ChevronRight,
|
||||
ChevronDown,
|
||||
ExternalLink,
|
||||
} from 'lucide-react';
|
||||
import { FeedbackRecord } from '../types/monitoring';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import { LoadingSpinner } from '@/components/ui/loading-spinner';
|
||||
|
||||
interface FeedbackListProps {
|
||||
feedback: FeedbackRecord[];
|
||||
loading?: boolean;
|
||||
onViewMessage?: (messageId: string) => void;
|
||||
}
|
||||
|
||||
export function FeedbackList({
|
||||
feedback,
|
||||
loading,
|
||||
onViewMessage,
|
||||
}: FeedbackListProps) {
|
||||
const { t } = useTranslation();
|
||||
const [expandedId, setExpandedId] = React.useState<string | null>(null);
|
||||
|
||||
const toggleExpand = (id: string) => {
|
||||
setExpandedId(expandedId === id ? null : id);
|
||||
};
|
||||
|
||||
if (loading) {
|
||||
return (
|
||||
<div className="py-12 flex justify-center">
|
||||
<LoadingSpinner text={t('common.loading')} />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (!feedback || feedback.length === 0) {
|
||||
return (
|
||||
<div className="text-center text-gray-500 dark:text-gray-400 py-16">
|
||||
<svg
|
||||
className="w-16 h-16 mx-auto mb-4 text-gray-300 dark:text-gray-600"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke="currentColor"
|
||||
>
|
||||
<path
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
strokeWidth={1.5}
|
||||
d="M4.318 6.318a4.5 4.5 0 000 6.364L12 20.364l7.682-7.682a4.5 4.5 0 00-6.364-6.364L12 7.636l-1.318-1.318a4.5 4.5 0 00-6.364 0z"
|
||||
/>
|
||||
</svg>
|
||||
<p className="text-base font-medium mb-2">
|
||||
{t('monitoring.feedback.noFeedback')}
|
||||
</p>
|
||||
<p className="text-sm">
|
||||
{t('monitoring.feedback.noFeedbackDescription')}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="space-y-4">
|
||||
{feedback.map((item) => (
|
||||
<div
|
||||
key={item.id}
|
||||
className={`border rounded-xl overflow-hidden hover:shadow-md transition-all duration-200 ${
|
||||
item.feedbackType === 'like'
|
||||
? 'border-green-200 dark:border-green-900'
|
||||
: 'border-red-200 dark:border-red-900'
|
||||
}`}
|
||||
>
|
||||
{/* Header */}
|
||||
<div
|
||||
className={`p-5 cursor-pointer transition-colors ${
|
||||
item.feedbackType === 'like'
|
||||
? 'hover:bg-green-50 dark:hover:bg-green-950/50 bg-green-50/50 dark:bg-green-950/30'
|
||||
: 'hover:bg-red-50 dark:hover:bg-red-950/50 bg-red-50/50 dark:bg-red-950/30'
|
||||
}`}
|
||||
onClick={() => toggleExpand(item.id)}
|
||||
>
|
||||
<div className="flex items-start justify-between">
|
||||
<div className="flex items-start flex-1">
|
||||
{/* Expand Icon */}
|
||||
<div className="mr-3 mt-0.5">
|
||||
{expandedId === item.id ? (
|
||||
<ChevronDown
|
||||
className={`w-5 h-5 ${item.feedbackType === 'like' ? 'text-green-500' : 'text-red-500'}`}
|
||||
/>
|
||||
) : (
|
||||
<ChevronRight
|
||||
className={`w-5 h-5 ${item.feedbackType === 'like' ? 'text-green-500' : 'text-red-500'}`}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Content */}
|
||||
<div className="flex-1">
|
||||
<div className="flex items-center gap-2 mb-2">
|
||||
{/* Feedback Type Icon */}
|
||||
{item.feedbackType === 'like' ? (
|
||||
<ThumbsUp className="w-5 h-5 text-green-500" />
|
||||
) : (
|
||||
<ThumbsDown className="w-5 h-5 text-red-500" />
|
||||
)}
|
||||
<span
|
||||
className={`text-sm font-medium ${item.feedbackType === 'like' ? 'text-green-600 dark:text-green-400' : 'text-red-600 dark:text-red-400'}`}
|
||||
>
|
||||
{item.feedbackType === 'like'
|
||||
? t('monitoring.feedback.like')
|
||||
: t('monitoring.feedback.dislike')}
|
||||
</span>
|
||||
{item.botName && (
|
||||
<>
|
||||
<span className="text-gray-400">→</span>
|
||||
<span className="text-sm text-gray-600 dark:text-gray-400">
|
||||
{item.botName}
|
||||
</span>
|
||||
</>
|
||||
)}
|
||||
{item.platform && (
|
||||
<span className="text-xs px-2 py-0.5 rounded bg-gray-100 dark:bg-gray-800 text-gray-500 dark:text-gray-400">
|
||||
{item.platform}
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{item.feedbackContent && (
|
||||
<p className="text-sm text-gray-600 dark:text-gray-400 line-clamp-2">
|
||||
{item.feedbackContent}
|
||||
</p>
|
||||
)}
|
||||
|
||||
{item.inaccurateReasons &&
|
||||
item.inaccurateReasons.length > 0 && (
|
||||
<div className="flex flex-wrap gap-1 mt-2">
|
||||
{item.inaccurateReasons.map((reason, idx) => (
|
||||
<span
|
||||
key={idx}
|
||||
className="text-xs px-2 py-0.5 rounded bg-red-100 dark:bg-red-900/30 text-red-600 dark:text-red-400"
|
||||
>
|
||||
{reason}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Timestamp */}
|
||||
<div className="flex flex-col items-end gap-2 ml-4">
|
||||
<span className="text-xs text-gray-500 dark:text-gray-400 whitespace-nowrap">
|
||||
{item.timestamp.toLocaleString()}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Expanded Details */}
|
||||
{expandedId === item.id && (
|
||||
<div
|
||||
className={`border-t p-5 bg-white dark:bg-gray-900 ${
|
||||
item.feedbackType === 'like'
|
||||
? 'border-green-200 dark:border-green-900'
|
||||
: 'border-red-200 dark:border-red-900'
|
||||
}`}
|
||||
>
|
||||
<div className="space-y-4 pl-8 border-l-2 border-gray-200 dark:border-gray-700 ml-4">
|
||||
{/* Context Info */}
|
||||
<div className="bg-gray-50 dark:bg-gray-800 rounded-lg p-3">
|
||||
<h4 className="text-sm font-semibold text-gray-700 dark:text-gray-300 mb-3">
|
||||
{t('monitoring.feedback.contextInfo')}
|
||||
</h4>
|
||||
<div className="grid grid-cols-2 md:grid-cols-3 gap-2 text-xs">
|
||||
{item.botName && (
|
||||
<div className="bg-white dark:bg-gray-900 rounded p-2">
|
||||
<div className="text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.messageList.bot')}
|
||||
</div>
|
||||
<div className="font-medium text-gray-900 dark:text-white truncate">
|
||||
{item.botName}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{item.pipelineName && (
|
||||
<div className="bg-white dark:bg-gray-900 rounded p-2">
|
||||
<div className="text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.messageList.pipeline')}
|
||||
</div>
|
||||
<div className="font-medium text-gray-900 dark:text-white truncate">
|
||||
{item.pipelineName}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{item.sessionId && (
|
||||
<div className="bg-white dark:bg-gray-900 rounded p-2">
|
||||
<div className="text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.sessions.sessionId')}
|
||||
</div>
|
||||
<div className="font-medium text-gray-900 dark:text-white truncate">
|
||||
{item.sessionId}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{item.userId && (
|
||||
<div className="bg-white dark:bg-gray-900 rounded p-2">
|
||||
<div className="text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.feedback.userId')}
|
||||
</div>
|
||||
<div className="font-medium text-gray-900 dark:text-white truncate">
|
||||
{item.userId}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{item.messageId && (
|
||||
<div className="bg-white dark:bg-gray-900 rounded p-2">
|
||||
<div className="text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.feedback.messageId')}
|
||||
</div>
|
||||
<div className="font-medium text-gray-900 dark:text-white truncate flex items-center gap-1">
|
||||
<span className="truncate">{item.messageId}</span>
|
||||
{onViewMessage && (
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
className="h-5 px-1.5 text-xs shrink-0"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onViewMessage(item.messageId!);
|
||||
}}
|
||||
>
|
||||
<ExternalLink className="w-3 h-3" />
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{item.streamId && (
|
||||
<div className="bg-white dark:bg-gray-900 rounded p-2">
|
||||
<div className="text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.feedback.streamId')}
|
||||
</div>
|
||||
<div className="font-medium text-gray-900 dark:text-white truncate">
|
||||
{item.streamId}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Feedback Content */}
|
||||
{item.feedbackContent && (
|
||||
<div className="bg-gray-50 dark:bg-gray-800 rounded-lg p-3">
|
||||
<h4 className="text-sm font-semibold text-gray-700 dark:text-gray-300 mb-3">
|
||||
{t('monitoring.feedback.feedbackContent')}
|
||||
</h4>
|
||||
<p className="text-sm text-gray-600 dark:text-gray-400 whitespace-pre-wrap">
|
||||
{item.feedbackContent}
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
192
web/src/app/home/monitoring/hooks/useFeedbackData.ts
Normal file
192
web/src/app/home/monitoring/hooks/useFeedbackData.ts
Normal file
@@ -0,0 +1,192 @@
|
||||
import { useState, useEffect, useCallback, useMemo } from 'react';
|
||||
import { httpClient } from '@/app/infra/http';
|
||||
import { FeedbackRecord, FeedbackStats } from '../types/monitoring';
|
||||
|
||||
interface UseFeedbackDataParams {
|
||||
botIds?: string[];
|
||||
pipelineIds?: string[];
|
||||
startTime?: string;
|
||||
endTime?: string;
|
||||
feedbackType?: 'like' | 'dislike';
|
||||
limit?: number;
|
||||
offset?: number;
|
||||
}
|
||||
|
||||
interface RawFeedbackRecord {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
feedback_id: string;
|
||||
feedback_type: number;
|
||||
feedback_content?: string;
|
||||
inaccurate_reasons?: string;
|
||||
bot_id?: string;
|
||||
bot_name?: string;
|
||||
pipeline_id?: string;
|
||||
pipeline_name?: string;
|
||||
session_id?: string;
|
||||
message_id?: string;
|
||||
stream_id?: string;
|
||||
user_id?: string;
|
||||
platform?: string;
|
||||
}
|
||||
|
||||
interface RawFeedbackStats {
|
||||
total_feedback: number;
|
||||
total_likes: number;
|
||||
total_dislikes: number;
|
||||
satisfaction_rate: number;
|
||||
by_bot?: Array<{
|
||||
bot_id: string;
|
||||
bot_name: string;
|
||||
total: number;
|
||||
likes: number;
|
||||
dislikes: number;
|
||||
}>;
|
||||
}
|
||||
|
||||
/**
|
||||
* Custom hook for fetching and managing feedback data
|
||||
*/
|
||||
export function useFeedbackData(params: UseFeedbackDataParams = {}) {
|
||||
const [feedback, setFeedback] = useState<FeedbackRecord[]>([]);
|
||||
const [stats, setStats] = useState<FeedbackStats | null>(null);
|
||||
const [total, setTotal] = useState(0);
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [error, setError] = useState<Error | null>(null);
|
||||
|
||||
const paramsStr = useMemo(() => JSON.stringify(params), [params]);
|
||||
|
||||
const fetchStats = useCallback(async () => {
|
||||
try {
|
||||
const queryParams = new URLSearchParams();
|
||||
if (params.botIds) {
|
||||
params.botIds.forEach((id) => queryParams.append('botId', id));
|
||||
}
|
||||
if (params.pipelineIds) {
|
||||
params.pipelineIds.forEach((id) =>
|
||||
queryParams.append('pipelineId', id),
|
||||
);
|
||||
}
|
||||
if (params.startTime) {
|
||||
queryParams.append('startTime', params.startTime);
|
||||
}
|
||||
if (params.endTime) {
|
||||
queryParams.append('endTime', params.endTime);
|
||||
}
|
||||
|
||||
const result = await httpClient.get<RawFeedbackStats>(
|
||||
`/api/v1/monitoring/feedback/stats?${queryParams.toString()}`,
|
||||
);
|
||||
|
||||
if (result) {
|
||||
setStats({
|
||||
totalFeedback: result.total_feedback,
|
||||
totalLikes: result.total_likes,
|
||||
totalDislikes: result.total_dislikes,
|
||||
satisfactionRate: result.satisfaction_rate,
|
||||
byBot: result.by_bot?.map((bot) => ({
|
||||
botId: bot.bot_id,
|
||||
botName: bot.bot_name,
|
||||
totalFeedback: bot.total,
|
||||
totalLikes: bot.likes,
|
||||
totalDislikes: bot.dislikes,
|
||||
satisfactionRate:
|
||||
bot.total > 0 ? Math.round((bot.likes / bot.total) * 100) : 0,
|
||||
})),
|
||||
});
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Failed to fetch feedback stats:', err);
|
||||
}
|
||||
}, [params.botIds, params.pipelineIds, params.startTime, params.endTime]);
|
||||
|
||||
const fetchFeedback = useCallback(async () => {
|
||||
setLoading(true);
|
||||
setError(null);
|
||||
|
||||
try {
|
||||
const queryParams = new URLSearchParams();
|
||||
if (params.botIds) {
|
||||
params.botIds.forEach((id) => queryParams.append('botId', id));
|
||||
}
|
||||
if (params.pipelineIds) {
|
||||
params.pipelineIds.forEach((id) =>
|
||||
queryParams.append('pipelineId', id),
|
||||
);
|
||||
}
|
||||
if (params.startTime) {
|
||||
queryParams.append('startTime', params.startTime);
|
||||
}
|
||||
if (params.endTime) {
|
||||
queryParams.append('endTime', params.endTime);
|
||||
}
|
||||
if (params.feedbackType) {
|
||||
queryParams.append(
|
||||
'feedbackType',
|
||||
params.feedbackType === 'like' ? '1' : '2',
|
||||
);
|
||||
}
|
||||
if (params.limit) {
|
||||
queryParams.append('limit', params.limit.toString());
|
||||
}
|
||||
if (params.offset) {
|
||||
queryParams.append('offset', params.offset.toString());
|
||||
}
|
||||
|
||||
const result = await httpClient.get<{
|
||||
feedback: RawFeedbackRecord[];
|
||||
total: number;
|
||||
}>(`/api/v1/monitoring/feedback?${queryParams.toString()}`);
|
||||
|
||||
if (result) {
|
||||
const transformedFeedback: FeedbackRecord[] = result.feedback.map(
|
||||
(item) => ({
|
||||
id: item.id,
|
||||
timestamp: new Date(item.timestamp),
|
||||
feedbackId: item.feedback_id,
|
||||
feedbackType: item.feedback_type === 1 ? 'like' : 'dislike',
|
||||
feedbackContent: item.feedback_content,
|
||||
inaccurateReasons: item.inaccurate_reasons
|
||||
? JSON.parse(item.inaccurate_reasons)
|
||||
: undefined,
|
||||
botId: item.bot_id,
|
||||
botName: item.bot_name,
|
||||
pipelineId: item.pipeline_id,
|
||||
pipelineName: item.pipeline_name,
|
||||
sessionId: item.session_id,
|
||||
messageId: item.message_id,
|
||||
streamId: item.stream_id,
|
||||
userId: item.user_id,
|
||||
platform: item.platform,
|
||||
}),
|
||||
);
|
||||
|
||||
setFeedback(transformedFeedback);
|
||||
setTotal(result.total);
|
||||
}
|
||||
} catch (err) {
|
||||
setError(err as Error);
|
||||
console.error('Failed to fetch feedback:', err);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
}, [params]);
|
||||
|
||||
const refetch = useCallback(() => {
|
||||
fetchStats();
|
||||
fetchFeedback();
|
||||
}, [fetchStats, fetchFeedback]);
|
||||
|
||||
useEffect(() => {
|
||||
refetch();
|
||||
}, [paramsStr]);
|
||||
|
||||
return {
|
||||
feedback,
|
||||
stats,
|
||||
total,
|
||||
loading,
|
||||
error,
|
||||
refetch,
|
||||
};
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
'use client';
|
||||
|
||||
import React, { Suspense, useState } from 'react';
|
||||
import React, { Suspense, useState, useMemo } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
|
||||
import { Button } from '@/components/ui/button';
|
||||
@@ -10,8 +10,11 @@ import MonitoringFilters from './components/filters/MonitoringFilters';
|
||||
import { ExportDropdown } from './components/ExportDropdown';
|
||||
import { useMonitoringFilters } from './hooks/useMonitoringFilters';
|
||||
import { useMonitoringData } from './hooks/useMonitoringData';
|
||||
import { useFeedbackData } from './hooks/useFeedbackData';
|
||||
import { MessageDetailsCard } from './components/MessageDetailsCard';
|
||||
import { MessageContentRenderer } from './components/MessageContentRenderer';
|
||||
import { FeedbackStatsCards } from './components/FeedbackCard';
|
||||
import { FeedbackList } from './components/FeedbackList';
|
||||
import { MessageDetails } from './types/monitoring';
|
||||
import { httpClient } from '@/app/infra/http/HttpClient';
|
||||
import { LoadingSpinner, LoadingPage } from '@/components/ui/loading-spinner';
|
||||
@@ -68,6 +71,64 @@ function MonitoringPageContent() {
|
||||
useMonitoringFilters();
|
||||
const { data, loading, refetch } = useMonitoringData(filterState);
|
||||
|
||||
// Get time range for feedback data
|
||||
const feedbackTimeRange = useMemo(() => {
|
||||
const now = new Date();
|
||||
let startTime: Date | null = null;
|
||||
|
||||
switch (filterState.timeRange) {
|
||||
case 'lastHour':
|
||||
startTime = new Date(now.getTime() - 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last6Hours':
|
||||
startTime = new Date(now.getTime() - 6 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last24Hours':
|
||||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last7Days':
|
||||
startTime = new Date(now.getTime() - 7 * 24 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last30Days':
|
||||
startTime = new Date(now.getTime() - 30 * 24 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'custom':
|
||||
if (filterState.customDateRange) {
|
||||
startTime = filterState.customDateRange.from;
|
||||
}
|
||||
break;
|
||||
}
|
||||
|
||||
const endTime =
|
||||
filterState.timeRange === 'custom' && filterState.customDateRange
|
||||
? filterState.customDateRange.to
|
||||
: now;
|
||||
|
||||
return {
|
||||
startTime: startTime?.toISOString(),
|
||||
endTime: endTime.toISOString(),
|
||||
};
|
||||
}, [filterState.timeRange, filterState.customDateRange]);
|
||||
|
||||
// Feedback data hook
|
||||
const {
|
||||
feedback: feedbackList,
|
||||
stats: feedbackStats,
|
||||
loading: feedbackLoading,
|
||||
} = useFeedbackData({
|
||||
botIds:
|
||||
filterState.selectedBots.length > 0
|
||||
? filterState.selectedBots
|
||||
: undefined,
|
||||
pipelineIds:
|
||||
filterState.selectedPipelines.length > 0
|
||||
? filterState.selectedPipelines
|
||||
: undefined,
|
||||
startTime: feedbackTimeRange.startTime,
|
||||
endTime: feedbackTimeRange.endTime,
|
||||
limit: 50,
|
||||
});
|
||||
|
||||
const [expandedMessageId, setExpandedMessageId] = useState<string | null>(
|
||||
null,
|
||||
);
|
||||
@@ -249,6 +310,9 @@ function MonitoringPageContent() {
|
||||
<TabsTrigger value="modelCalls" className="px-6 py-2">
|
||||
{t('monitoring.tabs.modelCalls')}
|
||||
</TabsTrigger>
|
||||
<TabsTrigger value="feedback" className="px-6 py-2">
|
||||
{t('monitoring.tabs.feedback')}
|
||||
</TabsTrigger>
|
||||
<TabsTrigger value="errors" className="px-6 py-2">
|
||||
{t('monitoring.tabs.errors')}
|
||||
</TabsTrigger>
|
||||
@@ -609,6 +673,38 @@ function MonitoringPageContent() {
|
||||
</div>
|
||||
</TabsContent>
|
||||
|
||||
<TabsContent value="feedback" className="p-6 m-0">
|
||||
<div>
|
||||
{loading && (
|
||||
<div className="py-12 flex justify-center">
|
||||
<LoadingSpinner text={t('common.loading')} />
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading && (
|
||||
<>
|
||||
{/* Feedback Stats Cards */}
|
||||
<div className="mb-6">
|
||||
<FeedbackStatsCards
|
||||
stats={feedbackStats}
|
||||
loading={feedbackLoading}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{/* Feedback List */}
|
||||
<h3 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">
|
||||
{t('monitoring.feedback.feedbackList')}
|
||||
</h3>
|
||||
<FeedbackList
|
||||
feedback={feedbackList}
|
||||
loading={feedbackLoading}
|
||||
onViewMessage={jumpToMessage}
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
</TabsContent>
|
||||
|
||||
<TabsContent value="errors" className="p-6 m-0">
|
||||
<div>
|
||||
{loading && (
|
||||
|
||||
@@ -162,6 +162,39 @@ export interface DateRange {
|
||||
to: Date;
|
||||
}
|
||||
|
||||
export interface FeedbackRecord {
|
||||
id: string;
|
||||
timestamp: Date;
|
||||
feedbackId: string;
|
||||
feedbackType: 'like' | 'dislike';
|
||||
feedbackContent?: string;
|
||||
inaccurateReasons?: string[];
|
||||
botId?: string;
|
||||
botName?: string;
|
||||
pipelineId?: string;
|
||||
pipelineName?: string;
|
||||
sessionId?: string;
|
||||
messageId?: string;
|
||||
streamId?: string;
|
||||
userId?: string;
|
||||
platform?: string;
|
||||
}
|
||||
|
||||
export interface FeedbackStats {
|
||||
totalFeedback: number;
|
||||
totalLikes: number;
|
||||
totalDislikes: number;
|
||||
satisfactionRate: number;
|
||||
byBot?: Array<{
|
||||
botId: string;
|
||||
botName: string;
|
||||
totalFeedback: number;
|
||||
totalLikes: number;
|
||||
totalDislikes: number;
|
||||
satisfactionRate: number;
|
||||
}>;
|
||||
}
|
||||
|
||||
export interface MonitoringData {
|
||||
overview: OverviewMetrics;
|
||||
messages: MonitoringMessage[];
|
||||
@@ -170,11 +203,14 @@ export interface MonitoringData {
|
||||
modelCalls: ModelCall[];
|
||||
sessions: SessionInfo[];
|
||||
errors: ErrorLog[];
|
||||
feedback?: FeedbackRecord[];
|
||||
feedbackStats?: FeedbackStats;
|
||||
totalCount: {
|
||||
messages: number;
|
||||
llmCalls: number;
|
||||
embeddingCalls: number;
|
||||
sessions: number;
|
||||
errors: number;
|
||||
feedback?: number;
|
||||
};
|
||||
}
|
||||
|
||||
23
web/src/app/infra/entities/adapter-docs.ts
Normal file
23
web/src/app/infra/entities/adapter-docs.ts
Normal file
@@ -0,0 +1,23 @@
|
||||
/**
|
||||
* Resolves the documentation URL for a given adapter from its
|
||||
* spec.help_links map, selecting the best match for the current locale
|
||||
* with a fallback to English.
|
||||
*/
|
||||
export function getAdapterDocUrl(
|
||||
helpLinks: Record<string, string> | undefined,
|
||||
locale: string,
|
||||
): string | null {
|
||||
if (!helpLinks) return null;
|
||||
|
||||
// Map locale to simplified language key
|
||||
let lang: string;
|
||||
if (locale.startsWith('zh')) {
|
||||
lang = 'zh';
|
||||
} else if (locale.startsWith('ja')) {
|
||||
lang = 'ja';
|
||||
} else {
|
||||
lang = 'en';
|
||||
}
|
||||
|
||||
return helpLinks[lang] ?? helpLinks['en'] ?? null;
|
||||
}
|
||||
@@ -118,6 +118,7 @@ export interface Adapter {
|
||||
icon?: string;
|
||||
spec: {
|
||||
categories?: string[];
|
||||
help_links?: Record<string, string>;
|
||||
config: IDynamicFormItemSchema[];
|
||||
};
|
||||
}
|
||||
|
||||
@@ -13,6 +13,7 @@ import {
|
||||
PartyPopper,
|
||||
Loader2,
|
||||
X,
|
||||
ExternalLink,
|
||||
} from 'lucide-react';
|
||||
|
||||
import { httpClient } from '@/app/infra/http/HttpClient';
|
||||
@@ -45,6 +46,8 @@ import {
|
||||
groupByCategory,
|
||||
getCategoryLabel,
|
||||
} from '@/app/infra/entities/adapter-categories';
|
||||
import { getAdapterDocUrl } from '@/app/infra/entities/adapter-docs';
|
||||
import i18n from 'i18next';
|
||||
|
||||
import { Button } from '@/components/ui/button';
|
||||
import {
|
||||
@@ -798,6 +801,24 @@ function StepPlatform({
|
||||
<p className="text-sm text-muted-foreground line-clamp-2">
|
||||
{extractI18nObject(adapter.description)}
|
||||
</p>
|
||||
{(() => {
|
||||
const docUrl = getAdapterDocUrl(
|
||||
adapter.spec.help_links,
|
||||
i18n.language,
|
||||
);
|
||||
return docUrl ? (
|
||||
<a
|
||||
href={docUrl}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="mt-2 inline-flex items-center text-xs text-primary hover:underline"
|
||||
onClick={(e) => e.stopPropagation()}
|
||||
>
|
||||
<ExternalLink className="mr-1 h-3 w-3" />
|
||||
{t('bots.viewAdapterDocs')}
|
||||
</a>
|
||||
) : null;
|
||||
})()}
|
||||
</CardContent>
|
||||
</Card>
|
||||
))}
|
||||
@@ -867,11 +888,34 @@ function StepBotConfig({
|
||||
{adapterConfigItems.length > 0 && (
|
||||
<Card>
|
||||
<CardHeader className="flex flex-col sm:flex-row items-start sm:items-center justify-between gap-2">
|
||||
<CardTitle className="text-base">
|
||||
{t('wizard.config.platformConfig', {
|
||||
platform: adapterLabel,
|
||||
})}
|
||||
</CardTitle>
|
||||
<div className="flex items-center gap-2">
|
||||
<CardTitle className="text-base">
|
||||
{t('wizard.config.platformConfig', {
|
||||
platform: adapterLabel,
|
||||
})}
|
||||
</CardTitle>
|
||||
{selectedAdapterName &&
|
||||
(() => {
|
||||
const selectedAdapter = adapters.find(
|
||||
(a) => a.name === selectedAdapterName,
|
||||
);
|
||||
const docUrl = getAdapterDocUrl(
|
||||
selectedAdapter?.spec.help_links,
|
||||
i18n.language,
|
||||
);
|
||||
return docUrl ? (
|
||||
<a
|
||||
href={docUrl}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="inline-flex items-center text-xs text-primary hover:underline"
|
||||
>
|
||||
<ExternalLink className="mr-1 h-3 w-3" />
|
||||
{t('bots.viewAdapterDocs')}
|
||||
</a>
|
||||
) : null;
|
||||
})()}
|
||||
</div>
|
||||
<Button
|
||||
size="sm"
|
||||
onClick={onSaveBot}
|
||||
|
||||
@@ -65,8 +65,7 @@ const enUS = {
|
||||
privacyPolicy: 'Privacy Policy',
|
||||
and: 'and',
|
||||
dataCollectionPolicy: 'Data Collection Policy',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/en/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/en/docs/data-policy',
|
||||
loading: 'Loading...',
|
||||
fieldRequired: 'This field is required',
|
||||
or: 'or',
|
||||
@@ -289,6 +288,7 @@ const enUS = {
|
||||
platformAdapter: 'Platform/Adapter Selection',
|
||||
selectAdapter: 'Select Adapter',
|
||||
adapterConfig: 'Adapter Configuration',
|
||||
viewAdapterDocs: 'View Docs',
|
||||
bindPipeline: 'Bind Pipeline',
|
||||
selectPipeline: 'Select Pipeline',
|
||||
selectBot: 'Select Bot',
|
||||
@@ -1031,6 +1031,7 @@ const enUS = {
|
||||
llmCalls: 'LLM Calls',
|
||||
embeddingCalls: 'Embedding Calls',
|
||||
modelCalls: 'Model Calls',
|
||||
feedback: 'User Feedback',
|
||||
sessions: 'Session Analysis',
|
||||
errors: 'Error Logs',
|
||||
},
|
||||
@@ -1110,6 +1111,26 @@ const enUS = {
|
||||
noErrors: 'No errors found',
|
||||
stackTrace: 'Stack Trace',
|
||||
},
|
||||
feedback: {
|
||||
title: 'User Feedback',
|
||||
totalFeedback: 'Total Feedback',
|
||||
totalLikes: 'Likes',
|
||||
totalDislikes: 'Dislikes',
|
||||
satisfactionRate: 'Satisfaction Rate',
|
||||
like: 'Like',
|
||||
dislike: 'Dislike',
|
||||
noFeedback: 'No feedback yet',
|
||||
noFeedbackDescription: 'User feedback will appear here',
|
||||
feedbackList: 'Feedback List',
|
||||
feedbackContent: 'Feedback Content',
|
||||
contextInfo: 'Context Info',
|
||||
userId: 'User ID',
|
||||
messageId: 'Message ID',
|
||||
streamId: 'Stream ID',
|
||||
inaccurateReasons: 'Inaccurate Reasons',
|
||||
platform: 'Platform',
|
||||
exportFeedback: 'Export Feedback',
|
||||
},
|
||||
queries: {
|
||||
title: 'Queries',
|
||||
},
|
||||
|
||||
@@ -67,8 +67,7 @@ const esES = {
|
||||
privacyPolicy: 'Política de privacidad',
|
||||
and: 'y',
|
||||
dataCollectionPolicy: 'Política de recopilación de datos',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/en/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/en/docs/data-policy',
|
||||
loading: 'Cargando...',
|
||||
fieldRequired: 'Este campo es obligatorio',
|
||||
or: 'o',
|
||||
@@ -298,6 +297,7 @@ const esES = {
|
||||
platformAdapter: 'Selección de plataforma/adaptador',
|
||||
selectAdapter: 'Seleccionar adaptador',
|
||||
adapterConfig: 'Configuración del adaptador',
|
||||
viewAdapterDocs: 'Ver documentación',
|
||||
bindPipeline: 'Vincular Pipeline',
|
||||
selectPipeline: 'Seleccionar Pipeline',
|
||||
selectBot: 'Seleccionar Bot',
|
||||
@@ -1062,6 +1062,7 @@ const esES = {
|
||||
embeddingCalls: 'Llamadas Embedding',
|
||||
modelCalls: 'Llamadas a modelos',
|
||||
sessions: 'Análisis de sesiones',
|
||||
feedback: 'Comentarios de usuarios',
|
||||
errors: 'Registros de errores',
|
||||
},
|
||||
messageList: {
|
||||
@@ -1141,6 +1142,26 @@ const esES = {
|
||||
noErrors: 'No se encontraron errores',
|
||||
stackTrace: 'Traza de pila',
|
||||
},
|
||||
feedback: {
|
||||
title: 'Comentarios de usuarios',
|
||||
totalFeedback: 'Total de comentarios',
|
||||
totalLikes: 'Me gusta',
|
||||
totalDislikes: 'No me gusta',
|
||||
satisfactionRate: 'Tasa de satisfacción',
|
||||
like: 'Me gusta',
|
||||
dislike: 'No me gusta',
|
||||
noFeedback: 'Aún no hay comentarios',
|
||||
noFeedbackDescription: 'Los comentarios de los usuarios aparecerán aquí',
|
||||
feedbackList: 'Lista de comentarios',
|
||||
feedbackContent: 'Contenido del comentario',
|
||||
contextInfo: 'Información de contexto',
|
||||
userId: 'ID de usuario',
|
||||
messageId: 'ID de mensaje',
|
||||
streamId: 'ID de flujo',
|
||||
inaccurateReasons: 'Razones de inexactitud',
|
||||
platform: 'Plataforma',
|
||||
exportFeedback: 'Exportar comentarios',
|
||||
},
|
||||
queries: {
|
||||
title: 'Consultas',
|
||||
},
|
||||
|
||||
@@ -66,8 +66,7 @@
|
||||
privacyPolicy: 'プライバシーポリシー',
|
||||
and: 'および',
|
||||
dataCollectionPolicy: 'データ収集ポリシー',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/ja/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/ja/docs/data-policy',
|
||||
loading: '読み込み中...',
|
||||
fieldRequired: 'この項目は必須です',
|
||||
or: 'または',
|
||||
@@ -294,6 +293,7 @@
|
||||
platformAdapter: 'プラットフォーム/アダプター選択',
|
||||
selectAdapter: 'アダプターを選択',
|
||||
adapterConfig: 'アダプター設定',
|
||||
viewAdapterDocs: 'ドキュメントを見る',
|
||||
bindPipeline: 'パイプラインを紐付け',
|
||||
selectPipeline: 'パイプラインを選択',
|
||||
selectBot: 'ボットを選択してください',
|
||||
@@ -1024,6 +1024,7 @@
|
||||
embeddingCalls: 'Embedding呼び出し',
|
||||
modelCalls: 'モデル呼び出し',
|
||||
sessions: 'セッション分析',
|
||||
feedback: 'ユーザーフィードバック',
|
||||
errors: 'エラーログ',
|
||||
},
|
||||
messageList: {
|
||||
@@ -1093,6 +1094,26 @@
|
||||
stackTrace: 'スタックトレース',
|
||||
title: 'エラー',
|
||||
},
|
||||
feedback: {
|
||||
title: 'ユーザーフィードバック',
|
||||
totalFeedback: 'フィードバック合計',
|
||||
totalLikes: 'いいね数',
|
||||
totalDislikes: 'よくないね数',
|
||||
satisfactionRate: '満足度',
|
||||
like: 'いいね',
|
||||
dislike: 'よくないね',
|
||||
noFeedback: 'フィードバックはまだありません',
|
||||
noFeedbackDescription: 'ユーザーフィードバックがここに表示されます',
|
||||
feedbackList: 'フィードバック一覧',
|
||||
feedbackContent: 'フィードバック内容',
|
||||
contextInfo: 'コンテキスト情報',
|
||||
userId: 'ユーザーID',
|
||||
messageId: 'メッセージID',
|
||||
streamId: 'ストリームID',
|
||||
inaccurateReasons: '不正確な理由',
|
||||
platform: 'プラットフォーム',
|
||||
exportFeedback: 'フィードバックをエクスポート',
|
||||
},
|
||||
messageDetails: {
|
||||
noData: 'このクエリにはLLM呼び出しやエラーがありません',
|
||||
},
|
||||
|
||||
@@ -65,8 +65,7 @@ const thTH = {
|
||||
privacyPolicy: 'นโยบายความเป็นส่วนตัว',
|
||||
and: 'และ',
|
||||
dataCollectionPolicy: 'นโยบายการเก็บรวบรวมข้อมูล',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/en/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/en/docs/data-policy',
|
||||
loading: 'กำลังโหลด...',
|
||||
fieldRequired: 'ช่องนี้จำเป็นต้องกรอก',
|
||||
or: 'หรือ',
|
||||
@@ -284,6 +283,7 @@ const thTH = {
|
||||
platformAdapter: 'การเลือกแพลตฟอร์ม/อะแดปเตอร์',
|
||||
selectAdapter: 'เลือกอะแดปเตอร์',
|
||||
adapterConfig: 'การกำหนดค่าอะแดปเตอร์',
|
||||
viewAdapterDocs: 'ดูเอกสาร',
|
||||
bindPipeline: 'ผูก Pipeline',
|
||||
selectPipeline: 'เลือก Pipeline',
|
||||
selectBot: 'เลือก Bot',
|
||||
@@ -1011,6 +1011,7 @@ const thTH = {
|
||||
embeddingCalls: 'การเรียก Embedding',
|
||||
modelCalls: 'การเรียกโมเดล',
|
||||
sessions: 'การวิเคราะห์เซสชัน',
|
||||
feedback: 'ความคิดเห็นผู้ใช้',
|
||||
errors: 'บันทึกข้อผิดพลาด',
|
||||
},
|
||||
messageList: {
|
||||
@@ -1089,6 +1090,26 @@ const thTH = {
|
||||
noErrors: 'ไม่พบข้อผิดพลาด',
|
||||
stackTrace: 'Stack Trace',
|
||||
},
|
||||
feedback: {
|
||||
title: 'ความคิดเห็นผู้ใช้',
|
||||
totalFeedback: 'ความคิดเห็นทั้งหมด',
|
||||
totalLikes: 'ถูกใจ',
|
||||
totalDislikes: 'ไม่ถูกใจ',
|
||||
satisfactionRate: 'อัตราความพึงพอใจ',
|
||||
like: 'ถูกใจ',
|
||||
dislike: 'ไม่ถูกใจ',
|
||||
noFeedback: 'ยังไม่มีความคิดเห็น',
|
||||
noFeedbackDescription: 'ความคิดเห็นของผู้ใช้จะแสดงที่นี่',
|
||||
feedbackList: 'รายการความคิดเห็น',
|
||||
feedbackContent: 'เนื้อหาความคิดเห็น',
|
||||
contextInfo: 'ข้อมูลบริบท',
|
||||
userId: 'ID ผู้ใช้',
|
||||
messageId: 'ID ข้อความ',
|
||||
streamId: 'ID สตรีม',
|
||||
inaccurateReasons: 'เหตุผลที่ไม่ถูกต้อง',
|
||||
platform: 'แพลตฟอร์ม',
|
||||
exportFeedback: 'ส่งออกความคิดเห็น',
|
||||
},
|
||||
queries: {
|
||||
title: 'คำค้นหา',
|
||||
},
|
||||
|
||||
@@ -65,8 +65,7 @@ const viVN = {
|
||||
privacyPolicy: 'Chính sách bảo mật',
|
||||
and: 'và',
|
||||
dataCollectionPolicy: 'Chính sách thu thập dữ liệu',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/en/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/en/docs/data-policy',
|
||||
loading: 'Đang tải...',
|
||||
fieldRequired: 'Trường này là bắt buộc',
|
||||
or: 'hoặc',
|
||||
@@ -293,6 +292,7 @@ const viVN = {
|
||||
platformAdapter: 'Nền tảng/Lựa chọn Adapter',
|
||||
selectAdapter: 'Chọn Adapter',
|
||||
adapterConfig: 'Cấu hình Adapter',
|
||||
viewAdapterDocs: 'Xem tài liệu',
|
||||
bindPipeline: 'Liên kết Pipeline',
|
||||
selectPipeline: 'Chọn Pipeline',
|
||||
selectBot: 'Chọn Bot',
|
||||
@@ -1032,6 +1032,7 @@ const viVN = {
|
||||
embeddingCalls: 'Cuộc gọi Embedding',
|
||||
modelCalls: 'Cuộc gọi mô hình',
|
||||
sessions: 'Phân tích phiên',
|
||||
feedback: 'Phản hồi người dùng',
|
||||
errors: 'Nhật ký lỗi',
|
||||
},
|
||||
messageList: {
|
||||
@@ -1110,6 +1111,26 @@ const viVN = {
|
||||
noErrors: 'Không tìm thấy lỗi',
|
||||
stackTrace: 'Stack Trace',
|
||||
},
|
||||
feedback: {
|
||||
title: 'Phản hồi người dùng',
|
||||
totalFeedback: 'Tổng phản hồi',
|
||||
totalLikes: 'Lượt thích',
|
||||
totalDislikes: 'Lượt không thích',
|
||||
satisfactionRate: 'Tỷ lệ hài lòng',
|
||||
like: 'Thích',
|
||||
dislike: 'Không thích',
|
||||
noFeedback: 'Chưa có phản hồi',
|
||||
noFeedbackDescription: 'Phản hồi của người dùng sẽ hiển thị tại đây',
|
||||
feedbackList: 'Danh sách phản hồi',
|
||||
feedbackContent: 'Nội dung phản hồi',
|
||||
contextInfo: 'Thông tin ngữ cảnh',
|
||||
userId: 'ID người dùng',
|
||||
messageId: 'ID tin nhắn',
|
||||
streamId: 'ID luồng',
|
||||
inaccurateReasons: 'Lý do không chính xác',
|
||||
platform: 'Nền tảng',
|
||||
exportFeedback: 'Xuất phản hồi',
|
||||
},
|
||||
queries: {
|
||||
title: 'Truy vấn',
|
||||
},
|
||||
|
||||
@@ -64,8 +64,7 @@ const zhHans = {
|
||||
privacyPolicy: '隐私政策',
|
||||
and: '和',
|
||||
dataCollectionPolicy: '数据收集政策',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/zh/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/zh/docs/data-policy',
|
||||
loading: '加载中...',
|
||||
fieldRequired: '此字段为必填项',
|
||||
or: '或',
|
||||
@@ -277,6 +276,7 @@ const zhHans = {
|
||||
platformAdapter: '平台/适配器选择',
|
||||
selectAdapter: '选择适配器',
|
||||
adapterConfig: '适配器配置',
|
||||
viewAdapterDocs: '查看文档',
|
||||
bindPipeline: '绑定流水线',
|
||||
selectPipeline: '选择流水线',
|
||||
selectBot: '请选择机器人',
|
||||
@@ -977,6 +977,7 @@ const zhHans = {
|
||||
llmCalls: 'LLM调用',
|
||||
embeddingCalls: 'Embedding调用',
|
||||
modelCalls: '模型调用',
|
||||
feedback: '用户反馈',
|
||||
sessions: '会话分析',
|
||||
errors: '错误日志',
|
||||
},
|
||||
@@ -1056,6 +1057,26 @@ const zhHans = {
|
||||
noErrors: '未找到错误',
|
||||
stackTrace: '堆栈追踪',
|
||||
},
|
||||
feedback: {
|
||||
title: '用户反馈',
|
||||
totalFeedback: '总反馈数',
|
||||
totalLikes: '点赞数',
|
||||
totalDislikes: '点踩数',
|
||||
satisfactionRate: '满意度',
|
||||
like: '点赞',
|
||||
dislike: '点踩',
|
||||
noFeedback: '暂无反馈',
|
||||
noFeedbackDescription: '用户反馈将在此显示',
|
||||
feedbackList: '反馈列表',
|
||||
feedbackContent: '反馈内容',
|
||||
contextInfo: '上下文信息',
|
||||
userId: '用户ID',
|
||||
messageId: '消息ID',
|
||||
streamId: '流ID',
|
||||
inaccurateReasons: '不准确原因',
|
||||
platform: '平台',
|
||||
exportFeedback: '导出反馈',
|
||||
},
|
||||
queries: {
|
||||
title: '查询记录',
|
||||
},
|
||||
|
||||
@@ -64,8 +64,7 @@ const zhHant = {
|
||||
privacyPolicy: '隱私政策',
|
||||
and: '和',
|
||||
dataCollectionPolicy: '數據收集政策',
|
||||
dataCollectionPolicyUrl:
|
||||
'https://docs.langbot.app/zh/insight/data-collection-policy',
|
||||
dataCollectionPolicyUrl: 'https://link.langbot.app/zh/docs/data-policy',
|
||||
loading: '載入中...',
|
||||
fieldRequired: '此欄位為必填',
|
||||
or: '或',
|
||||
@@ -276,6 +275,7 @@ const zhHant = {
|
||||
platformAdapter: '平台/適配器選擇',
|
||||
selectAdapter: '選擇適配器',
|
||||
adapterConfig: '適配器設定',
|
||||
viewAdapterDocs: '查看文檔',
|
||||
bindPipeline: '綁定流程線',
|
||||
selectPipeline: '選擇流程線',
|
||||
selectBot: '請選擇機器人',
|
||||
@@ -963,6 +963,7 @@ const zhHant = {
|
||||
embeddingCalls: 'Embedding調用',
|
||||
modelCalls: '模型調用',
|
||||
sessions: '會話分析',
|
||||
feedback: '使用者反饋',
|
||||
errors: '錯誤日誌',
|
||||
},
|
||||
messageList: {
|
||||
@@ -1032,6 +1033,26 @@ const zhHant = {
|
||||
stackTrace: '堆疊追蹤',
|
||||
title: '錯誤',
|
||||
},
|
||||
feedback: {
|
||||
title: '使用者反饋',
|
||||
totalFeedback: '總反饋數',
|
||||
totalLikes: '按讚數',
|
||||
totalDislikes: '按倒讚數',
|
||||
satisfactionRate: '滿意度',
|
||||
like: '按讚',
|
||||
dislike: '按倒讚',
|
||||
noFeedback: '暫無反饋',
|
||||
noFeedbackDescription: '使用者反饋將在此顯示',
|
||||
feedbackList: '反饋列表',
|
||||
feedbackContent: '反饋內容',
|
||||
contextInfo: '上下文資訊',
|
||||
userId: '使用者ID',
|
||||
messageId: '訊息ID',
|
||||
streamId: '串流ID',
|
||||
inaccurateReasons: '不準確原因',
|
||||
platform: '平台',
|
||||
exportFeedback: '匯出反饋',
|
||||
},
|
||||
messageDetails: {
|
||||
noData: '此查詢沒有LLM調用或錯誤記錄',
|
||||
},
|
||||
|
||||
Reference in New Issue
Block a user