4b097011cf
* fix(core): 将空 list modalities 视为未配置，修复图片无法传递到模型的问题 migra_helper 将未配置的 modalities 迁移为空 list []，而新增的 _provider_supports_modality()、_assemble_request_context_for_provider()、 _should_fix_modalities_for_provider()、_func_tool_for_provider() 四个函数 对 [] 和 None 的处理不一致，导致所有未在 WebUI 手动配置 modalities 的 provider 无法传递图片、引用图片被跳过、工具被错误清除。 修改策略：将 [] 与 None 统一视为未配置状态，保持向后兼容。 仅在 modalities 为非空 list 时才启用过滤和修复逻辑。 - _provider_supports_modality: [] 返回 True，默认支持 - _assemble_request_context_for_provider: [] 不过滤图片 - _should_fix_modalities_for_provider: [] 不触发历史上下文修复 - _func_tool_for_provider: [] 不清除工具 复现脚本已确认 Bug 不再复现，82 个相关单元测试全部通过。 * fix(core): 补充修复 tool loop 中 cached images 的 modalities 判断 上一笔 commit 遗漏了 tool_loop_agent_runner.py 第 917 行对 cached images 的 modalities 检查，当 modalities=[] 时，tool call 返回的图片不会被追加到消息中，导致模型看不到 tool 结果中的图片。 修复方式与主修复一致：not modalities or image in modalities 复现脚本和 82 个单元测试全部通过。 * test: 补充 fake_save_image mock 缺少的 mime_type 字段 修复 modalities=[] 导致 cached images 分支变为可达后，暴露 了 test_tool_result_includes_all_calltoolresult_content 中 fake_save_image mock 不完整的问题：返回的 SimpleNamespace 缺少 mime_type 属性，而实际 tool_image_cache.save_image() 始终包含该字段。 --------- Co-authored-by: C₂₂H₂₅NO₆ <Sisyphbaous-DT-Project@users.noreply.github.com>
简体中文 ｜ 繁體中文 ｜ 日本語 ｜ Français ｜ Русский
Documentation ｜ Blog ｜ Roadmap ｜ Issue Tracker ｜ Email Support
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.
Key Features
- 💯 Free & Open Source.
- ✨ AI LLM Conversations, Multimodal, Agent, MCP, Skills, Knowledge Base, Persona Settings, Auto Context Compression.
- 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze, and other agent platforms.
- 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and more.
- 📦 Plugin Extensions with 1000+ plugins available for one-click installation.
- 🛡️ Agent Sandbox for isolated, safe execution of code, shell calls, and session-level resource reuse.
- 💻 WebUI Support.
- 🌈 Web ChatUI Support with built-in agent sandbox and web search.
- 🌐 Internationalization (i18n) Support.
| 💙 Role-playing & Emotional Companionship | ✨ Proactive Agent | 🚀 General Agentic Capabilities | 🧩 1000+ Community Plugins |
|---|---|---|---|
Quick Start
One-Click Deployment
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
Requires uv to be installed. AstrBot requires Python 3.12 or later. The
--python 3.12option ensures thatuvcreates the tool environment with Python 3.12.
Note
For macOS users: due to macOS security checks, the first run of the
astrbotcommand may take longer (about 10-20s).
Update astrbot:
uv tool upgrade astrbot --python 3.12
Warning
AstrBot deployed via
uvdoes not support upgrading through the WebUI. To update, please run the command above from the command line.
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.
Deploy on RainYun
For users who want one-click deployment and do not want to manage servers themselves, we recommend RainYun's one-click cloud deployment service ☁️:
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.
Deploy on Replit
Replit deployment is maintained by the community and is suitable for online demos and lightweight trials.
AUR
AUR deployment targets Arch Linux users who prefer installing AstrBot through the system package workflow.
Run the command below to install astrbot-git, then start AstrBot in your local environment.
yay -S astrbot-git
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.
Supported Messaging Platforms
Connect AstrBot to your favorite chat platform.
| Platform | Maintainer |
|---|---|
| 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 |
| 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 |
❤️ Sponsors
❤️ 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
-
Group 12: 916228568 (New)
-
Group 9: 1076659624 (Full)
-
Group 10: 1078079676 (Full)
-
Group 11: 704659519 (Full)
-
Group 1: 322154837 (Full)
-
Group 3: 630166526 (Full)
-
Group 4: 1077826412 (Full)
-
Group 5: 822130018 (Full)
-
Group 6: 753075035 (Full)
-
Group 7: 743746109 (Full)
-
Group 8: 1030353265 (Full)
-
Developer Group(Chit-chat): 975206796
-
Developer Group(Formal): 1039761811
Discord Server
❤️ Special Thanks
Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️
Additionally, the birth of this project would not have been possible without the help of the following open-source projects:
- NapNeko/NapCatQQ - The amazing cat framework
⭐ 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
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!
