lingyun14 48ba71ad74 fix: missing dashboard i18n keys, add a key check to CI, and drop orphaned ru-RU entries. (#10505)
* fix(i18n): add missing dashboard translation keys

Several call sites reference keys that exist in no locale bundle, so the
i18n helper returns its truthy "[MISSING: key]" placeholder and the UI
leaks that instead of a translation.

- TemplateListEditor.vue used core.common.collapse/expand for the
  expand/collapse tooltip; neither key existed. Add both to zh-CN,
  en-US, ja-JP and ru-RU.
- BackupDialog.vue alerts core.common.unauthorized, which was absent
  from every bundle. Add it to all four.
- PersonaSelector.vue reads core.shared.personaSelector.editPersona;
  it existed in ru-RU only. Add it to zh-CN, en-US and ja-JP, matching
  the wording of the existing createPersona entries.
- KBList.vue uses create.embeddingModelRequired as the validation rule
  when creating a knowledge base. Sibling keys exist in all four
  bundles but this one was missed.

The unauthorized values mirror the wording already used by the
equivalent messages.errors.auth.unauthorized entries.

* feat(i18n): add a dashboard i18n key check and fix key drift

The i18n helper returns "[MISSING: <key>]" (a truthy string) when a key is
absent, so `t(key) || 'fallback'` never falls back and the placeholder
leaks into the UI. A key missing from *every* locale is invisible to
locale-vs-locale comparison (src/i18n/validator.ts), because all bundles
agree on it, so those defects can only be caught by checking source usage
against the bundles.

Add dashboard/scripts/check-i18n-keys.mjs, run via `pnpm run i18n:check`
and wired into the Dashboard CI workflow. It assembles locale trees by
parsing each locale index.ts (bundle filenames are not runtime
namespaces: features/tool-use.json -> features.tooluse), strips comments
before scanning, respects the module-relative t()/tm() bindings from
useModuleI18n(), and skips plugin-provided strings. It has no dependency
on installed packages, so it runs without node_modules.

It reported two classes of problem, both fixed here:

- Used in source but absent from all four locales:
  features.knowledge-base.detail.retrieval.debugMode and
  .tsneVisualization (RetrievalTab.vue debug switch and t-SNE image alt).
- Locale drift against the zh-CN baseline:
  features.subagent.form.personaPreview missing from en-US and ru-RU, and
  the config-metadata use_markdown description/hint missing from ja-JP.

ru-RU additionally carries ~42 keys with no zh-CN counterpart (notably
agent_runner_type and the per-provider agent runner ids, which the backend
does use). Those are pre-existing and left alone; this check only fails on
keys that source code actually references.

* chore(i18n): remove orphaned ru-RU translation keys

Two groups of ru-RU keys reference paths the dashboard no longer reads,
left behind when zh-CN was migrated and ru-RU was not:

- features.tooluse.dialogs.syncProvider.* (22 leaves)
  The syncProvider subtree now lives at the namespace root, which is what
  McpServersSection.vue reads via useModuleI18n('features/tooluse'). PR #9932
  relocated it for zh-CN but left ru-RU's copy under `dialogs`, so ru-RU
  carried both.

- 20 features.config-metadata entries under provider_settings
  Those paths were restructured into agent_runner.config.* by PR #9821 for
  zh-CN. Only the entries with no zh-CN counterpart are removed here; most
  provider_settings children are still live under their new paths and are
  kept. platform_group.platform.kook_bot_nickname has no backend field at
  all (no reference anywhere in astrbot/).

All four locales now expose an identical key set (4130 leaves each, no
missing and no extra keys), so this also removes the last locale drift the
i18n check could see.

* fix(i18n): make the key check enforce drift and scan injected translators

Addresses both blocking findings from the review.

1. Locale drift did not fail the check. The drift branch only printed its
   results and never set the failure flag, and it compared in one direction
   only (baseline keys absent elsewhere), so a locale could gain keys the
   baseline lacks without any complaint. It now compares both directions and
   fails on either, which is safe to enforce because the key sets are already
   identical across all four locales (4130 leaves each).

2. Keys read through an injected translator were never scanned. The call
   pattern only matched bare `t(` / `tm(`, so `props.tm('models.metadata.image')`
   in ProviderModelsPanel.vue (8 call sites, reached via :tm="tm" from
   ProviderPage / ProviderChatCompletionPanel) escaped validation entirely. A
   key that resolves nowhere previously passed; it is now reported.

   Injected usage carries no local module binding, so the parent's namespace is
   unknown at the call site. Rather than guess it, such a key is only reported
   when it resolves nowhere in any locale under any namespace, which keeps the
   new pass free of false positives. The tradeoff is documented in the script:
   a key that exists in some other namespace but not the injected one is not
   caught.

Verified: deleting a baseline-only key from en-US now fails (was PASS), adding
an extra key to en-US now fails (was ignored), and the injected-translator probe
in ProviderModelsPanel.vue now fails with the call site (was PASS). The clean
tree still passes all three sections.
2026-10-11 22:50:58 +08:00
2023-04-15 15:33:00 +08:00
2026-01-13 12:19:05 +08:00
2025-02-24 00:31:57 +08:00

AstrBot-Logo-Simplified

AstrBot is an open-source all-in-one Agent chatbot platform that integrates with mainstream instant messaging apps. It provides reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Whether you're building a personal AI companion, intelligent customer service, automation assistant, or enterprise knowledge base, AstrBot enables you to quickly build production-ready AI applications within your IM platform workflows.

screenshot_1 5x_postspark_2026-02-27_22-37-45

Key Features

  1. 💯 Free & Open Source.
  2. ✨ AI LLM Conversations, Multimodal, Agent, MCP, Skills, Knowledge Base, Persona Settings, Auto Context Compression.
  3. 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze, and other agent platforms.
  4. 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and more.
  5. 📦 Plugin Extensions with 1000+ plugins available for one-click installation.
  6. 🛡️ Agent Sandbox for isolated, safe execution of code, shell calls, and session-level resource reuse.
  7. 💻 WebUI Support.
  8. 🌈 Web ChatUI Support with built-in agent sandbox and web search.
  9. 🌐 Internationalization (i18n) Support.

Quick Start

One-Click Cloud Deployment (RainYun)

For users who want one-click 24-hour-online deployment and do not want to manage servers themselves, we recommend RainYun's one-click cloud deployment service ☁️:

Deploy on RainYun

One-Click Deployment

Note

Requires uv to be installed. For macOS users: due to macOS security checks, the first run of the astrbot command may take longer (about 10-20s).

For users who want to quickly experience AstrBot, are familiar with command-line usage, and can install a uv environment on their own, we recommend the uv one-click deployment method ⚡️:

uv tool install astrbot --python 3.12
astrbot init # Only execute this command for the first time to initialize the environment
astrbot run

Update astrbot:

uv tool upgrade astrbot --python 3.12

Docker Deployment

For users familiar with containers and looking for a more stable, production-ready deployment method, we recommend deploying AstrBot with Docker / Docker Compose.

Please refer to the official documentation: Deploy AstrBot with Docker.

Desktop Application Deployment

For users who want to use AstrBot on desktop and mainly use ChatUI, we recommend AstrBot App.

Visit AstrBot-desktop to download and install; this method is designed for desktop usage and is not recommended for server scenarios.

Launcher Deployment

For desktop users who also want fast deployment and isolated multi-instance usage, we recommend AstrBot Launcher.

Visit AstrBot Launcher to download and install.

More deployment methods

If you need panel-based management or deeper customization, see BT-Panel Deployment for BT Panel app-store setup, 1Panel Deployment for 1Panel app-market deployment, CasaOS Deployment for NAS/home-server visual deployment, and Manual Deployment for fully custom source-based installation with uv.

❤️ Sponsors

Welcome to sponsor us via Afdian or contact us.

sponsors

Supported Messaging Platforms

Connect AstrBot to your favorite chat platform.

Platform Maintainer
QQ Official
OneBot v11 protocol implementation Official
Telegram Official
Wecom & Wecom AI Bot Official
WeChat Official Accounts Official
Feishu (Lark) Official
DingTalk Official
Slack Official
Discord Official
LINE Official
Satori Official
KOOK Official
Misskey Official
Mattermost Official
WhatsApp (Coming Soon) Official
Matrix Community
Rocket.Chat Community
VoceChat Community

Supported Model Services

Service Type
OpenAI and Compatible Services LLM Services
Anthropic LLM Services
Google Gemini LLM Services
Moonshot AI LLM Services
Zhipu AI LLM Services
DeepSeek LLM Services
Ollama (Self-hosted) LLM Services
LM Studio (Self-hosted) LLM Services
MiraRouter LLM Services (API Gateway, supports all models)
AIHubMix LLM Services (API Gateway, supports all models)
CompShare LLM Services
302.AI LLM Services
TokenPony LLM Services
SiliconFlow LLM Services
PPIO Cloud LLM Services
ModelScope LLM Services
OneAPI LLM Services
Dify LLMOps Platforms
Alibaba Cloud Bailian Applications LLMOps Platforms
Coze LLMOps Platforms
OpenAI Whisper Speech-to-Text Services
SenseVoice Speech-to-Text Services
Xiaomi MiMo Omni Speech-to-Text Services
OpenAI TTS Text-to-Speech Services
Gemini TTS Text-to-Speech Services
GPT-Sovits-Inference Text-to-Speech Services
GPT-Sovits Text-to-Speech Services
FishAudio Text-to-Speech Services
Edge TTS Text-to-Speech Services
Alibaba Cloud Bailian TTS Text-to-Speech Services
Azure TTS Text-to-Speech Services
Minimax TTS Text-to-Speech Services
Xiaomi MiMo TTS Text-to-Speech Services
Volcano Engine TTS Text-to-Speech Services

❤️ Contributing

Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)

How to Contribute

You can contribute by reviewing issues or helping with pull request reviews. Any issues or PRs are welcome to encourage community participation. Of course, these are just suggestions—you can contribute in any way you like. For adding new features, please discuss through an Issue first.

Development Environment

AstrBot uses ruff for code formatting and linting.

git clone https://github.com/AstrBotDevs/AstrBot
pip install pre-commit
pre-commit install

🌍 Community

QQ Groups

We have 15+ chat groups, please see: Community for details.

Discord Server

Discord_community

❤️ Special Thanks

Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️

Open Source Friends ❤️

⭐ Star History

Tip

If this project has helped you in your life or work, or if you're interested in its future development, please give the project a Star. It's the driving force behind maintaining this open-source project <3

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Companionship and capability should never be at odds. What we aim to create is a robot that can understand emotions, provide genuine companionship, and reliably accomplish tasks.

私は、高性能ですから!

S
Description
✨ 一站式 LLM 聊天机器人平台及开发框架 ✨ 支持 QQ、QQ频道、Telegram、企微、飞书、钉钉 | 知识库、MCP 服务器、OpenAI、DeepSeek、Gemini、硅基流动、月之暗面、Ollama、OneAPI、Dify
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