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31
.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.md
vendored
31
.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.md
vendored
@@ -1,31 +0,0 @@
|
||||
---
|
||||
name: '🥳 发布插件'
|
||||
title: "[Plugin] 插件名"
|
||||
about: 提交插件到插件市场
|
||||
labels: [ "plugin-publish" ]
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
欢迎发布插件到插件市场!
|
||||
|
||||
## 插件基本信息
|
||||
|
||||
请将插件信息填写到下方的 Json 代码块中。`tags`(插件标签)和 `social_link`(社交链接)选填。
|
||||
|
||||
```json
|
||||
{
|
||||
"name": "插件名",
|
||||
"desc": "插件介绍",
|
||||
"author": "作者名",
|
||||
"repo": "插件仓库链接",
|
||||
"tags": [],
|
||||
"social_link": ""
|
||||
}
|
||||
```
|
||||
|
||||
## 检查
|
||||
|
||||
- [ ] 我的插件经过完整的测试
|
||||
- [ ] 我的插件不包含恶意代码
|
||||
- [ ] 我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
|
||||
56
.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml
vendored
Normal file
56
.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml
vendored
Normal file
@@ -0,0 +1,56 @@
|
||||
name: 🥳 发布插件
|
||||
description: 提交插件到插件市场
|
||||
title: "[Plugin] 插件名"
|
||||
labels: ["plugin-publish"]
|
||||
assignees: []
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
欢迎发布插件到插件市场!
|
||||
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
## 插件基本信息
|
||||
|
||||
请将插件信息填写到下方的 JSON 代码块中。其中 `tags`(插件标签)和 `social_link`(社交链接)选填。
|
||||
|
||||
不熟悉 JSON ?现在可以从 [这里](https://plugins.astrbot.app/#/submit) 获取你的 JSON 啦!获取到了记得复制粘贴过来哦!
|
||||
|
||||
- type: textarea
|
||||
id: plugin-info
|
||||
attributes:
|
||||
label: 插件信息
|
||||
description: 请在下方代码块中填写您的插件信息,确保反引号包裹了JSON
|
||||
value: |
|
||||
```json
|
||||
{
|
||||
"name": "插件名",
|
||||
"desc": "插件介绍",
|
||||
"author": "作者名",
|
||||
"repo": "插件仓库链接",
|
||||
"tags": [],
|
||||
"social_link": ""
|
||||
}
|
||||
```
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
## 检查
|
||||
|
||||
- type: checkboxes
|
||||
id: checks
|
||||
attributes:
|
||||
label: 插件检查清单
|
||||
description: 请确认以下所有项目
|
||||
options:
|
||||
- label: 我的插件经过完整的测试
|
||||
required: true
|
||||
- label: 我的插件不包含恶意代码
|
||||
required: true
|
||||
- label: 我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
|
||||
required: true
|
||||
63
.github/copilot-instructions.md
vendored
Normal file
63
.github/copilot-instructions.md
vendored
Normal file
@@ -0,0 +1,63 @@
|
||||
# AstrBot Development Instructions
|
||||
|
||||
AstrBot is a multi-platform LLM chatbot and development framework written in Python with a Vue.js dashboard. It supports multiple messaging platforms (QQ, Telegram, Discord, etc.) and various LLM providers (OpenAI, Anthropic, Google Gemini, etc.).
|
||||
|
||||
Always reference these instructions first and fallback to search or bash commands only when you encounter unexpected information that does not match the info here.
|
||||
|
||||
## Working Effectively
|
||||
|
||||
### Bootstrap and Install Dependencies
|
||||
- **Python 3.10+ required** - Check `.python-version` file
|
||||
- Install UV package manager: `pip install uv`
|
||||
- Install project dependencies: `uv sync` -- takes 6-7 minutes. NEVER CANCEL. Set timeout to 10+ minutes.
|
||||
- Create required directories: `mkdir -p data/plugins data/config data/temp`
|
||||
|
||||
### Running the Application
|
||||
- Run main application: `uv run main.py` -- starts in ~3 seconds
|
||||
- Application creates WebUI on http://localhost:6185 (default credentials: `astrbot`/`astrbot`)
|
||||
- Application loads plugins automatically from `packages/` and `data/plugins/` directories
|
||||
|
||||
### Dashboard Build (Vue.js/Node.js)
|
||||
- **Prerequisites**: Node.js 20+ and npm 10+ required
|
||||
- Navigate to dashboard: `cd dashboard`
|
||||
- Install dashboard dependencies: `npm install` -- takes 2-3 minutes. NEVER CANCEL. Set timeout to 5+ minutes.
|
||||
- Build dashboard: `npm run build` -- takes 25-30 seconds. NEVER CANCEL.
|
||||
- Dashboard creates optimized production build in `dashboard/dist/`
|
||||
|
||||
### Testing
|
||||
- Do not generate test files for now.
|
||||
|
||||
### Code Quality and Linting
|
||||
- Install ruff linter: `uv add --dev ruff`
|
||||
- Check code style: `uv run ruff check .` -- takes <1 second
|
||||
- Check formatting: `uv run ruff format --check .` -- takes <1 second
|
||||
- Fix formatting: `uv run ruff format .`
|
||||
- **ALWAYS** run `uv run ruff check .` and `uv run ruff format .` before committing changes
|
||||
|
||||
### Plugin Development
|
||||
- Plugins load from `packages/` (built-in) and `data/plugins/` (user-installed)
|
||||
- Plugin system supports function tools and message handlers
|
||||
- Key plugins: python_interpreter, web_searcher, astrbot, reminder, session_controller
|
||||
|
||||
### Common Issues and Workarounds
|
||||
- **Dashboard download fails**: Known issue with "division by zero" error - application still works
|
||||
- **Import errors in tests**: Ensure `uv run` is used to run tests in proper environment
|
||||
=- **Build timeouts**: Always set appropriate timeouts (10+ minutes for uv sync, 5+ minutes for npm install)
|
||||
|
||||
## CI/CD Integration
|
||||
- GitHub Actions workflows in `.github/workflows/`
|
||||
- Docker builds supported via `Dockerfile`
|
||||
- Pre-commit hooks enforce ruff formatting and linting
|
||||
|
||||
## Docker Support
|
||||
- Primary deployment method: `docker run soulter/astrbot:latest`
|
||||
- Compose file available: `compose.yml`
|
||||
- Exposes ports: 6185 (WebUI), 6195 (WeChat), 6199 (QQ), etc.
|
||||
- Volume mount required: `./data:/AstrBot/data`
|
||||
|
||||
## Multi-language Support
|
||||
- Documentation in Chinese (README.md), English (README_en.md), Japanese (README_ja.md)
|
||||
- UI supports internationalization
|
||||
- Default language is Chinese
|
||||
|
||||
Remember: This is a production chatbot framework with real users. Always test thoroughly and ensure changes don't break existing functionality.
|
||||
4
.github/workflows/auto_release.yml
vendored
4
.github/workflows/auto_release.yml
vendored
@@ -13,7 +13,7 @@ jobs:
|
||||
contents: write
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v5
|
||||
|
||||
- name: Dashboard Build
|
||||
run: |
|
||||
@@ -70,7 +70,7 @@ jobs:
|
||||
needs: build-and-publish-to-github-release
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v5
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
|
||||
2
.github/workflows/codeql.yml
vendored
2
.github/workflows/codeql.yml
vendored
@@ -56,7 +56,7 @@ jobs:
|
||||
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v5
|
||||
|
||||
# Initializes the CodeQL tools for scanning.
|
||||
- name: Initialize CodeQL
|
||||
|
||||
2
.github/workflows/coverage_test.yml
vendored
2
.github/workflows/coverage_test.yml
vendored
@@ -17,7 +17,7 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v5
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
|
||||
2
.github/workflows/dashboard_ci.yml
vendored
2
.github/workflows/dashboard_ci.yml
vendored
@@ -11,7 +11,7 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v5
|
||||
|
||||
- name: npm install, build
|
||||
run: |
|
||||
|
||||
2
.github/workflows/docker-image.yml
vendored
2
.github/workflows/docker-image.yml
vendored
@@ -12,7 +12,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Pull The Codes
|
||||
uses: actions/checkout@v4
|
||||
uses: actions/checkout@v5
|
||||
with:
|
||||
fetch-depth: 0 # Must be 0 so we can fetch tags
|
||||
|
||||
|
||||
85
README.md
85
README.md
@@ -27,57 +27,50 @@ _✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_
|
||||
|
||||
AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用的插件系统和完善的大语言模型(LLM)接入功能的聊天机器人及开发框架。
|
||||
|
||||
|
||||
<!-- [](https://codecov.io/gh/Soulter/AstrBot)
|
||||
-->
|
||||
|
||||
> [!WARNING]
|
||||
>
|
||||
> 请务必修改默认密码以及保证 AstrBot 版本 >= 3.5.13。
|
||||
|
||||
## ✨ 近期更新
|
||||
|
||||
<details><summary>1. AstrBot 现已自带知识库能力</summary>
|
||||
|
||||
📚 详见[文档](https://astrbot.app/use/knowledge-base.html)
|
||||
|
||||

|
||||
|
||||
</details>
|
||||
|
||||
2. AstrBot 现已支持接入 [MCP](https://modelcontextprotocol.io/) 服务器!
|
||||
|
||||
## ✨ 主要功能
|
||||
|
||||
> [!NOTE]
|
||||
> 🪧 我们正基于前沿科研成果,设计并实现适用于角色扮演和情感陪伴的长短期记忆模型及情绪控制模型,旨在提升对话的真实性与情感表达能力。敬请期待 `v3.6.0` 版本!
|
||||
|
||||
1. **大语言模型对话**。支持各种大语言模型,包括 OpenAI API、Google Gemini、Llama、Deepseek、ChatGLM 等,支持接入本地部署的大模型,通过 Ollama、LLMTuner。具有多轮对话、人格情境、多模态能力,支持图片理解、语音转文字(Whisper)。
|
||||
2. **多消息平台接入**。支持接入 QQ(OneBot、QQ 官方机器人平台)、QQ 频道、企业微信、微信公众号、飞书、Telegram、钉钉、Discord、KOOK、VoceChat。支持速率限制、白名单、关键词过滤、百度内容审核。
|
||||
3. **Agent**。原生支持部分 Agent 能力,如代码执行器、自然语言待办、网页搜索。对接 [Dify 平台](https://dify.ai/),便捷接入 Dify 智能助手、知识库和 Dify 工作流。
|
||||
4. **插件扩展**。深度优化的插件机制,支持[开发插件](https://astrbot.app/dev/plugin.html)扩展功能,极简开发。已支持安装多个插件。
|
||||
5. **可视化管理面板**。支持可视化修改配置、插件管理、日志查看等功能,降低配置难度。集成 WebChat,可在面板上与大模型对话。
|
||||
6. **高稳定性、高模块化**。基于事件总线和流水线的架构设计,高度模块化,低耦合。
|
||||
|
||||
> [!TIP]
|
||||
> WebUI 在线体验 Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)
|
||||
>
|
||||
> 用户名: `astrbot`, 密码: `astrbot`。
|
||||
1. **大模型对话**。支持接入多种大模型服务。支持多模态、工具调用、MCP、原生知识库、人设等功能。
|
||||
2. **多消息平台支持**。支持接入 QQ、企业微信、微信公众号、飞书、Telegram、钉钉、Discord、KOOK 等平台。支持速率限制、白名单、百度内容审核。
|
||||
3. **Agent**。完善适配的 Agentic 能力。支持多轮工具调用、内置沙盒代码执行器、网页搜索等功能。
|
||||
4. **插件扩展**。深度优化的插件机制,支持[开发插件](https://astrbot.app/dev/plugin.html)扩展功能,社区插件生态丰富。
|
||||
5. **WebUI**。可视化配置和管理机器人,功能齐全。
|
||||
|
||||
## ✨ 使用方式
|
||||
|
||||
#### Docker 部署
|
||||
|
||||
推荐使用 Docker / Docker Compose 方式部署 AstrBot。
|
||||
|
||||
请参阅官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) 。
|
||||
|
||||
#### 宝塔面板部署
|
||||
|
||||
AstrBot 与宝塔面板合作,已上架至宝塔面板。
|
||||
|
||||
请参阅官方文档 [宝塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html) 。
|
||||
|
||||
#### 1Panel 部署
|
||||
|
||||
AstrBot 已由 1Panel 官方上架至 1Panel 面板。
|
||||
|
||||
请参阅官方文档 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html) 。
|
||||
|
||||
#### 在 雨云 上部署
|
||||
|
||||
AstrBot 已由雨云官方上架至云应用平台,可一键部署。
|
||||
|
||||
[](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
|
||||
|
||||
#### 在 Replit 上部署
|
||||
|
||||
社区贡献的部署方式。
|
||||
|
||||
[](https://repl.it/github/Soulter/AstrBot)
|
||||
|
||||
#### Windows 一键安装器部署
|
||||
|
||||
请参阅官方文档 [使用 Windows 一键安装器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html) 。
|
||||
|
||||
#### 宝塔面板部署
|
||||
|
||||
请参阅官方文档 [宝塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html) 。
|
||||
|
||||
#### CasaOS 部署
|
||||
|
||||
社区贡献的部署方式。
|
||||
@@ -101,24 +94,8 @@ git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
|
||||
uv run main.py
|
||||
```
|
||||
|
||||
或者,直接通过 uvx 安装 AstrBot:
|
||||
|
||||
```bash
|
||||
mkdir astrbot && cd astrbot
|
||||
uvx astrbot init
|
||||
# uvx astrbot run
|
||||
```
|
||||
|
||||
或者请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
|
||||
|
||||
#### 在 Replit 上部署
|
||||
|
||||
[](https://repl.it/github/Soulter/AstrBot)
|
||||
|
||||
#### 在 雨云 上部署
|
||||
|
||||
[](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
|
||||
|
||||
## ⚡ 消息平台支持情况
|
||||
|
||||
| 平台 | 支持性 |
|
||||
|
||||
@@ -117,6 +117,9 @@ def build_plug_list(plugins_dir: Path) -> list:
|
||||
# 从 metadata.yaml 加载元数据
|
||||
metadata = load_yaml_metadata(plugin_dir)
|
||||
|
||||
if "desc" not in metadata and "description" in metadata:
|
||||
metadata["desc"] = metadata["description"]
|
||||
|
||||
# 如果成功加载元数据,添加到结果列表
|
||||
if metadata and all(
|
||||
k in metadata for k in ["name", "desc", "version", "author", "repo"]
|
||||
|
||||
@@ -6,7 +6,7 @@ import os
|
||||
|
||||
from astrbot.core.utils.astrbot_path import get_astrbot_data_path
|
||||
|
||||
VERSION = "3.5.23"
|
||||
VERSION = "3.5.24"
|
||||
DB_PATH = os.path.join(get_astrbot_data_path(), "data_v3.db")
|
||||
|
||||
# 默认配置
|
||||
@@ -65,6 +65,7 @@ DEFAULT_CONFIG = {
|
||||
"show_tool_use_status": False,
|
||||
"streaming_segmented": False,
|
||||
"separate_provider": True,
|
||||
"max_agent_step": 30
|
||||
},
|
||||
"provider_stt_settings": {
|
||||
"enable": False,
|
||||
@@ -599,7 +600,9 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "gpt-4o-mini",
|
||||
"temperature": 0.4
|
||||
},
|
||||
"hint": "也兼容所有与OpenAI API兼容的服务。"
|
||||
},
|
||||
"Azure OpenAI": {
|
||||
"id": "azure",
|
||||
@@ -613,6 +616,7 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "gpt-4o-mini",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"xAI": {
|
||||
@@ -626,9 +630,11 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "grok-2-latest",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"Anthropic": {
|
||||
"hint": "注意Claude系列模型的温度调节范围为0到1.0,超出可能导致报错",
|
||||
"id": "claude",
|
||||
"provider": "anthropic",
|
||||
"type": "anthropic_chat_completion",
|
||||
@@ -640,9 +646,11 @@ CONFIG_METADATA_2 = {
|
||||
"model_config": {
|
||||
"model": "claude-3-5-sonnet-latest",
|
||||
"max_tokens": 4096,
|
||||
"temperature": 0.2
|
||||
},
|
||||
},
|
||||
"Ollama": {
|
||||
"hint":"启用前请确保已正确安装并运行 Ollama 服务端,Ollama默认不带鉴权,无需修改key",
|
||||
"id": "ollama_default",
|
||||
"provider": "ollama",
|
||||
"type": "openai_chat_completion",
|
||||
@@ -652,6 +660,7 @@ CONFIG_METADATA_2 = {
|
||||
"api_base": "http://localhost:11434/v1",
|
||||
"model_config": {
|
||||
"model": "llama3.1-8b",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"LM Studio": {
|
||||
@@ -677,6 +686,7 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "gemini-1.5-flash",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"Gemini": {
|
||||
@@ -690,6 +700,7 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "gemini-2.0-flash-exp",
|
||||
"temperature": 0.4
|
||||
},
|
||||
"gm_resp_image_modal": False,
|
||||
"gm_native_search": False,
|
||||
@@ -716,6 +727,7 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "deepseek-chat",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"302.AI": {
|
||||
@@ -729,6 +741,7 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "gpt-4.1-mini",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"硅基流动": {
|
||||
@@ -742,6 +755,7 @@ CONFIG_METADATA_2 = {
|
||||
"api_base": "https://api.siliconflow.cn/v1",
|
||||
"model_config": {
|
||||
"model": "deepseek-ai/DeepSeek-V3",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"PPIO派欧云": {
|
||||
@@ -755,6 +769,20 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "deepseek/deepseek-r1",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"优云智算": {
|
||||
"id": "compshare",
|
||||
"provider": "compshare",
|
||||
"type": "openai_chat_completion",
|
||||
"provider_type": "chat_completion",
|
||||
"enable": True,
|
||||
"key": [],
|
||||
"api_base": "https://api.modelverse.cn/v1",
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "moonshotai/Kimi-K2-Instruct",
|
||||
},
|
||||
},
|
||||
"Kimi": {
|
||||
@@ -768,6 +796,7 @@ CONFIG_METADATA_2 = {
|
||||
"api_base": "https://api.moonshot.cn/v1",
|
||||
"model_config": {
|
||||
"model": "moonshot-v1-8k",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"智谱 AI": {
|
||||
@@ -796,6 +825,7 @@ CONFIG_METADATA_2 = {
|
||||
"dify_query_input_key": "astrbot_text_query",
|
||||
"variables": {},
|
||||
"timeout": 60,
|
||||
"hint": "请确保你在 AstrBot 里设置的 APP 类型和 Dify 里面创建的应用的类型一致!"
|
||||
},
|
||||
"阿里云百炼应用": {
|
||||
"id": "dashscope",
|
||||
@@ -814,6 +844,20 @@ CONFIG_METADATA_2 = {
|
||||
"variables": {},
|
||||
"timeout": 60,
|
||||
},
|
||||
"ModelScope": {
|
||||
"id": "modelscope",
|
||||
"provider": "modelscope",
|
||||
"type": "openai_chat_completion",
|
||||
"provider_type": "chat_completion",
|
||||
"enable": True,
|
||||
"key": [],
|
||||
"timeout": 120,
|
||||
"api_base": "https://api-inference.modelscope.cn/v1",
|
||||
"model_config": {
|
||||
"model": "Qwen/Qwen3-32B",
|
||||
"temperature": 0.4
|
||||
},
|
||||
},
|
||||
"FastGPT": {
|
||||
"id": "fastgpt",
|
||||
"provider": "fastgpt",
|
||||
@@ -835,7 +879,7 @@ CONFIG_METADATA_2 = {
|
||||
"model": "whisper-1",
|
||||
},
|
||||
"Whisper(本地加载)": {
|
||||
"whisper_hint": "(不用修改我)",
|
||||
"hint": "启用前请 pip 安装 openai-whisper 库(N卡用户大约下载 2GB,主要是 torch 和 cuda,CPU 用户大约下载 1 GB),并且安装 ffmpeg。否则将无法正常转文字。",
|
||||
"provider": "openai",
|
||||
"type": "openai_whisper_selfhost",
|
||||
"provider_type": "speech_to_text",
|
||||
@@ -844,7 +888,7 @@ CONFIG_METADATA_2 = {
|
||||
"model": "tiny",
|
||||
},
|
||||
"SenseVoice(本地加载)": {
|
||||
"sensevoice_hint": "(不用修改我)",
|
||||
"hint": "启用前请 pip 安装 funasr、funasr_onnx、torchaudio、torch、modelscope、jieba 库(默认使用CPU,大约下载 1 GB),并且安装 ffmpeg。否则将无法正常转文字。",
|
||||
"type": "sensevoice_stt_selfhost",
|
||||
"provider": "sensevoice",
|
||||
"provider_type": "speech_to_text",
|
||||
@@ -866,7 +910,7 @@ CONFIG_METADATA_2 = {
|
||||
"timeout": "20",
|
||||
},
|
||||
"Edge TTS": {
|
||||
"edgetts_hint": "提示:使用这个服务前需要安装有 ffmpeg,并且可以直接在终端调用 ffmpeg 指令。",
|
||||
"hint": "提示:使用这个服务前需要安装有 ffmpeg,并且可以直接在终端调用 ffmpeg 指令。",
|
||||
"id": "edge_tts",
|
||||
"provider": "microsoft",
|
||||
"type": "edge_tts",
|
||||
@@ -1686,6 +1730,10 @@ CONFIG_METADATA_2 = {
|
||||
"type": "bool",
|
||||
"hint": "启用后,若平台不支持流式回复,会分段输出。目前仅支持 aiocqhttp 两个平台,不支持或无需使用流式分段输出的平台会静默忽略此选项",
|
||||
},
|
||||
"max_agent_step": {
|
||||
"description": "工具调用轮数上限",
|
||||
"type": "int",
|
||||
},
|
||||
},
|
||||
},
|
||||
"persona": {
|
||||
|
||||
@@ -2,6 +2,8 @@ import asyncio
|
||||
import os
|
||||
import uuid
|
||||
import time
|
||||
from urllib.parse import urlparse, unquote
|
||||
import platform
|
||||
|
||||
|
||||
class FileTokenService:
|
||||
@@ -15,7 +17,9 @@ class FileTokenService:
|
||||
async def _cleanup_expired_tokens(self):
|
||||
"""清理过期的令牌"""
|
||||
now = time.time()
|
||||
expired_tokens = [token for token, (_, expire) in self.staged_files.items() if expire < now]
|
||||
expired_tokens = [
|
||||
token for token, (_, expire) in self.staged_files.items() if expire < now
|
||||
]
|
||||
for token in expired_tokens:
|
||||
self.staged_files.pop(token, None)
|
||||
|
||||
@@ -32,15 +36,35 @@ class FileTokenService:
|
||||
Raises:
|
||||
FileNotFoundError: 当路径不存在时抛出
|
||||
"""
|
||||
|
||||
# 处理 file:///
|
||||
try:
|
||||
parsed_uri = urlparse(file_path)
|
||||
if parsed_uri.scheme == "file":
|
||||
local_path = unquote(parsed_uri.path)
|
||||
if platform.system() == "Windows" and local_path.startswith("/"):
|
||||
local_path = local_path[1:]
|
||||
else:
|
||||
# 如果没有 file:/// 前缀,则认为是普通路径
|
||||
local_path = file_path
|
||||
except Exception:
|
||||
# 解析失败时,按原路径处理
|
||||
local_path = file_path
|
||||
|
||||
async with self.lock:
|
||||
await self._cleanup_expired_tokens()
|
||||
|
||||
if not os.path.exists(file_path):
|
||||
raise FileNotFoundError(f"文件不存在: {file_path}")
|
||||
if not os.path.exists(local_path):
|
||||
raise FileNotFoundError(
|
||||
f"文件不存在: {local_path} (原始输入: {file_path})"
|
||||
)
|
||||
|
||||
file_token = str(uuid.uuid4())
|
||||
expire_time = time.time() + (timeout if timeout is not None else self.default_timeout)
|
||||
self.staged_files[file_token] = (file_path, expire_time)
|
||||
expire_time = time.time() + (
|
||||
timeout if timeout is not None else self.default_timeout
|
||||
)
|
||||
# 存储转换后的真实路径
|
||||
self.staged_files[file_token] = (local_path, expire_time)
|
||||
return file_token
|
||||
|
||||
async def handle_file(self, file_token: str) -> str:
|
||||
|
||||
@@ -223,9 +223,10 @@ class TelegramPlatformAdapter(Platform):
|
||||
message.type = MessageType.GROUP_MESSAGE
|
||||
message.group_id = str(update.message.chat.id)
|
||||
if update.message.message_thread_id:
|
||||
# Topic Group
|
||||
# Topic Group - keep topic info in group_id for message routing,
|
||||
# but use base group_id for session_id to share conversations
|
||||
message.group_id += "#" + str(update.message.message_thread_id)
|
||||
message.session_id = message.group_id
|
||||
# session_id remains the base group_id for shared conversation
|
||||
|
||||
message.message_id = str(update.message.message_id)
|
||||
message.sender = MessageMember(
|
||||
@@ -349,6 +350,13 @@ class TelegramPlatformAdapter(Platform):
|
||||
session_id=message.session_id,
|
||||
client=self.client,
|
||||
)
|
||||
|
||||
# Store topic information for shared conversations
|
||||
if message.type == MessageType.GROUP_MESSAGE and "#" in message.group_id:
|
||||
group_id, topic_id = message.group_id.split("#")
|
||||
message_event.set_extra("telegram_topic_id", topic_id)
|
||||
message_event.set_extra("telegram_base_group_id", group_id)
|
||||
|
||||
self.commit_event(message_event)
|
||||
|
||||
def get_client(self) -> ExtBot:
|
||||
|
||||
@@ -66,7 +66,9 @@ class TelegramPlatformEvent(AstrMessageEvent):
|
||||
return chunks
|
||||
|
||||
@classmethod
|
||||
async def send_with_client(cls, client: ExtBot, message: MessageChain, user_name: str):
|
||||
async def send_with_client(
|
||||
cls, client: ExtBot, message: MessageChain, user_name: str
|
||||
):
|
||||
image_path = None
|
||||
|
||||
has_reply = False
|
||||
@@ -148,7 +150,7 @@ class TelegramPlatformEvent(AstrMessageEvent):
|
||||
"chat_id": user_name,
|
||||
}
|
||||
if message_thread_id:
|
||||
payload["reply_to_message_id"] = message_thread_id
|
||||
payload["message_thread_id"] = message_thread_id
|
||||
|
||||
delta = ""
|
||||
current_content = ""
|
||||
|
||||
@@ -470,6 +470,10 @@ class ProviderGoogleGenAI(Provider):
|
||||
raise
|
||||
continue
|
||||
|
||||
# Accumulate the complete response text for the final response
|
||||
accumulated_text = ""
|
||||
final_response = None
|
||||
|
||||
async for chunk in result:
|
||||
llm_response = LLMResponse("assistant", is_chunk=True)
|
||||
|
||||
@@ -481,23 +485,37 @@ class ProviderGoogleGenAI(Provider):
|
||||
chunk, llm_response
|
||||
)
|
||||
yield llm_response
|
||||
break
|
||||
return
|
||||
|
||||
if chunk.text:
|
||||
accumulated_text += chunk.text
|
||||
llm_response.result_chain = MessageChain(chain=[Comp.Plain(chunk.text)])
|
||||
yield llm_response
|
||||
|
||||
if chunk.candidates[0].finish_reason:
|
||||
llm_response = LLMResponse("assistant", is_chunk=False)
|
||||
if not chunk.candidates[0].content.parts:
|
||||
llm_response.result_chain = MessageChain(chain=[Comp.Plain(" ")])
|
||||
else:
|
||||
llm_response.result_chain = self._process_content_parts(
|
||||
chunk, llm_response
|
||||
# Process the final chunk for potential tool calls or other content
|
||||
if chunk.candidates[0].content.parts:
|
||||
final_response = LLMResponse("assistant", is_chunk=False)
|
||||
final_response.result_chain = self._process_content_parts(
|
||||
chunk, final_response
|
||||
)
|
||||
yield llm_response
|
||||
break
|
||||
|
||||
# Yield final complete response with accumulated text
|
||||
if not final_response:
|
||||
final_response = LLMResponse("assistant", is_chunk=False)
|
||||
|
||||
# Set the complete accumulated text in the final response
|
||||
if accumulated_text:
|
||||
final_response.result_chain = MessageChain(
|
||||
chain=[Comp.Plain(accumulated_text)]
|
||||
)
|
||||
elif not final_response.result_chain:
|
||||
# If no text was accumulated and no final response was set, provide empty space
|
||||
final_response.result_chain = MessageChain(chain=[Comp.Plain(" ")])
|
||||
|
||||
yield final_response
|
||||
|
||||
async def text_chat(
|
||||
self,
|
||||
prompt: str,
|
||||
|
||||
@@ -99,6 +99,11 @@ class ProviderOpenAIOfficial(Provider):
|
||||
for key in to_del:
|
||||
del payloads[key]
|
||||
|
||||
# 针对 qwen3 模型的特殊处理:非流式调用必须设置 enable_thinking=false
|
||||
model = payloads.get("model", "")
|
||||
if "qwen3" in model.lower():
|
||||
extra_body["enable_thinking"] = False
|
||||
|
||||
completion = await self.client.chat.completions.create(
|
||||
**payloads, stream=False, extra_body=extra_body
|
||||
)
|
||||
@@ -176,7 +181,7 @@ class ProviderOpenAIOfficial(Provider):
|
||||
raise Exception("API 返回的 completion 为空。")
|
||||
choice = completion.choices[0]
|
||||
|
||||
if choice.message.content:
|
||||
if choice.message.content is not None:
|
||||
# text completion
|
||||
completion_text = str(choice.message.content).strip()
|
||||
llm_response.result_chain = MessageChain().message(completion_text)
|
||||
@@ -210,7 +215,7 @@ class ProviderOpenAIOfficial(Provider):
|
||||
"API 返回的 completion 由于内容安全过滤被拒绝(非 AstrBot)。"
|
||||
)
|
||||
|
||||
if not llm_response.completion_text and not llm_response.tools_call_args:
|
||||
if llm_response.completion_text is None and not llm_response.tools_call_args:
|
||||
logger.error(f"API 返回的 completion 无法解析:{completion}。")
|
||||
raise Exception(f"API 返回的 completion 无法解析:{completion}。")
|
||||
|
||||
|
||||
@@ -809,11 +809,11 @@ class PluginManager:
|
||||
if star_metadata.star_cls is None:
|
||||
return
|
||||
|
||||
if hasattr(star_metadata.star_cls, "__del__"):
|
||||
if '__del__' in star_metadata.star_cls_type.__dict__:
|
||||
asyncio.get_event_loop().run_in_executor(
|
||||
None, star_metadata.star_cls.__del__
|
||||
)
|
||||
elif hasattr(star_metadata.star_cls, "terminate"):
|
||||
elif 'terminate' in star_metadata.star_cls_type.__dict__:
|
||||
await star_metadata.star_cls.terminate()
|
||||
|
||||
async def turn_on_plugin(self, plugin_name: str):
|
||||
|
||||
10
changelogs/v3.5.24.md
Normal file
10
changelogs/v3.5.24.md
Normal file
@@ -0,0 +1,10 @@
|
||||
# What's Changed
|
||||
|
||||
> 新版本预告: v4.0.0 即将发布。
|
||||
|
||||
1. 新增: 添加对 ModelScope、Compshare(优云智算)的模版支持。
|
||||
2. 优化: 增加插件数据缓存,优化插件市场数据获取时的稳定性。
|
||||
|
||||
其他更新:
|
||||
|
||||
1. 现已支持在 1Panel 平台通过应用商城快捷部署 AstrBot。详见:[在 1Panel 部署 AstrBot](https://docs.astrbot.app/deploy/astrbot/1panel.html)
|
||||
@@ -1,10 +1,10 @@
|
||||
<script setup>
|
||||
import { VueMonacoEditor } from '@guolao/vue-monaco-editor'
|
||||
import { ref } from 'vue'
|
||||
import { ref, computed } from 'vue'
|
||||
import ListConfigItem from './ListConfigItem.vue'
|
||||
import { useI18n } from '@/i18n/composables'
|
||||
|
||||
defineProps({
|
||||
const props = defineProps({
|
||||
metadata: {
|
||||
type: Object,
|
||||
required: true
|
||||
@@ -16,11 +16,21 @@ defineProps({
|
||||
metadataKey: {
|
||||
type: String,
|
||||
required: true
|
||||
},
|
||||
isEditing: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
})
|
||||
|
||||
const { t } = useI18n()
|
||||
|
||||
const filteredIterable = computed(() => {
|
||||
if (!props.iterable) return {}
|
||||
const { hint, ...rest } = props.iterable
|
||||
return rest
|
||||
})
|
||||
|
||||
const dialog = ref(false)
|
||||
const currentEditingKey = ref('')
|
||||
const currentEditingLanguage = ref('json')
|
||||
@@ -54,7 +64,19 @@ function saveEditedContent() {
|
||||
<v-card-text class="px-0 py-1">
|
||||
<!-- Object Type Configuration -->
|
||||
<div v-if="metadata[metadataKey]?.type === 'object' || metadata[metadataKey]?.config_template" class="object-config">
|
||||
<div v-for="(val, key, index) in iterable" :key="key" class="config-item">
|
||||
<!-- Provider-level hint -->
|
||||
<v-alert
|
||||
v-if="iterable.hint && !isEditing"
|
||||
type="info"
|
||||
variant="tonal"
|
||||
class="mb-4"
|
||||
border="start"
|
||||
density="compact"
|
||||
>
|
||||
{{ iterable.hint }}
|
||||
</v-alert>
|
||||
|
||||
<div v-for="(val, key, index) in filteredIterable" :key="key" class="config-item">
|
||||
<!-- Nested Object -->
|
||||
<div v-if="metadata[metadataKey].items[key]?.type === 'object'" class="nested-object">
|
||||
<div v-if="metadata[metadataKey].items[key] && !metadata[metadataKey].items[key]?.invisible" class="nested-container">
|
||||
|
||||
@@ -24,6 +24,7 @@
|
||||
"addPlatform": "Add Platform Adapter",
|
||||
"connectTitle": "Connect {name}",
|
||||
"viewTutorial": "View Tutorial",
|
||||
"noTemplates": "No platform templates available",
|
||||
"idConflict": {
|
||||
"title": "ID Conflict Warning",
|
||||
"message": "Detected duplicate ID \"{id}\". Please use a new ID.",
|
||||
|
||||
@@ -24,6 +24,7 @@
|
||||
"addPlatform": "添加平台适配器",
|
||||
"connectTitle": "接入 {name}",
|
||||
"viewTutorial": "查看接入教程",
|
||||
"noTemplates": "暂无平台模板",
|
||||
"idConflict": {
|
||||
"title": "ID 冲突警告",
|
||||
"message": "检测到 ID \"{id}\" 重复。请使用一个新的 ID。",
|
||||
|
||||
@@ -233,6 +233,7 @@
|
||||
:iterable="newSelectedProviderConfig"
|
||||
:metadata="metadata['provider_group']?.metadata"
|
||||
metadataKey="provider"
|
||||
:is-editing="updatingMode"
|
||||
/>
|
||||
</v-card-text>
|
||||
|
||||
@@ -549,6 +550,7 @@ export default {
|
||||
'ollama': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/ollama.svg',
|
||||
'google': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/gemini-color.svg',
|
||||
'deepseek': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/deepseek.svg',
|
||||
'modelscope': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/modelscope.svg',
|
||||
'zhipu': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/zhipu.svg',
|
||||
'siliconflow': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/siliconcloud.svg',
|
||||
'moonshot': 'https://registry.npmmirror.com/@lobehub/icons-static-svg/latest/files/icons/kimi.svg',
|
||||
|
||||
@@ -1316,6 +1316,16 @@ UID: {user_id} 此 ID 可用于设置管理员。
|
||||
except BaseException as e:
|
||||
logger.error(f"处理引用图片失败: {e}")
|
||||
|
||||
# Add Telegram topic context for shared conversations
|
||||
if event.get_platform_name() == "telegram":
|
||||
topic_id = event.get_extra("telegram_topic_id")
|
||||
base_group_id = event.get_extra("telegram_base_group_id")
|
||||
if topic_id and base_group_id:
|
||||
req.system_prompt += (
|
||||
f"\n[Context: This message is from Telegram topic "
|
||||
f"#{topic_id} in group {base_group_id}]\n"
|
||||
)
|
||||
|
||||
if self.ltm:
|
||||
try:
|
||||
await self.ltm.on_req_llm(event, req)
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "AstrBot"
|
||||
version = "3.5.23"
|
||||
version = "3.5.24"
|
||||
description = "易上手的多平台 LLM 聊天机器人及开发框架"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
@@ -76,3 +76,11 @@ lint.select = [
|
||||
"Q", # flake8-quotes
|
||||
]
|
||||
target-version = "py310"
|
||||
|
||||
[dependency-groups]
|
||||
dev = [
|
||||
"pytest>=8.4.1",
|
||||
"pytest-asyncio>=1.1.0",
|
||||
"pytest-cov>=6.2.1",
|
||||
"ruff>=0.12.8",
|
||||
]
|
||||
|
||||
216
uv.lock
generated
216
uv.lock
generated
@@ -1,5 +1,5 @@
|
||||
version = 1
|
||||
revision = 2
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
|
||||
[[package]]
|
||||
@@ -204,7 +204,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "astrbot"
|
||||
version = "3.5.23"
|
||||
version = "3.5.24"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "aiocqhttp" },
|
||||
@@ -250,6 +250,14 @@ dependencies = [
|
||||
{ name = "wechatpy" },
|
||||
]
|
||||
|
||||
[package.dev-dependencies]
|
||||
dev = [
|
||||
{ name = "pytest" },
|
||||
{ name = "pytest-asyncio" },
|
||||
{ name = "pytest-cov" },
|
||||
{ name = "ruff" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "aiocqhttp", specifier = ">=1.4.4" },
|
||||
@@ -295,6 +303,14 @@ requires-dist = [
|
||||
{ name = "wechatpy", specifier = ">=1.8.18" },
|
||||
]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
{ name = "pytest", specifier = ">=8.4.1" },
|
||||
{ name = "pytest-asyncio", specifier = ">=1.1.0" },
|
||||
{ name = "pytest-cov", specifier = ">=6.2.1" },
|
||||
{ name = "ruff", specifier = ">=0.12.8" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "async-timeout"
|
||||
version = "5.0.1"
|
||||
@@ -313,6 +329,15 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "backports-asyncio-runner"
|
||||
version = "1.2.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8e/ff/70dca7d7cb1cbc0edb2c6cc0c38b65cba36cccc491eca64cabd5fe7f8670/backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162", size = 69893, upload-time = "2025-07-02T02:27:15.685Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a0/59/76ab57e3fe74484f48a53f8e337171b4a2349e506eabe136d7e01d059086/backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5", size = 12313, upload-time = "2025-07-02T02:27:14.263Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "beautifulsoup4"
|
||||
version = "4.13.4"
|
||||
@@ -513,6 +538,96 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e3/51/9b208e85196941db2f0654ad0357ca6388ab3ed67efdbfc799f35d1f83aa/colorlog-6.9.0-py3-none-any.whl", hash = "sha256:5906e71acd67cb07a71e779c47c4bcb45fb8c2993eebe9e5adcd6a6f1b283eff", size = 11424, upload-time = "2024-10-29T18:34:49.815Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "coverage"
|
||||
version = "7.10.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f4/2c/253cc41cd0f40b84c1c34c5363e0407d73d4a1cae005fed6db3b823175bd/coverage-7.10.3.tar.gz", hash = "sha256:812ba9250532e4a823b070b0420a36499859542335af3dca8f47fc6aa1a05619", size = 822936, upload-time = "2025-08-10T21:27:39.968Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/2f/44/e14576c34b37764c821866909788ff7463228907ab82bae188dab2b421f1/coverage-7.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:53808194afdf948c462215e9403cca27a81cf150d2f9b386aee4dab614ae2ffe", size = 215964, upload-time = "2025-08-10T21:25:22.828Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e6/15/f4f92d9b83100903efe06c9396ee8d8bdba133399d37c186fc5b16d03a87/coverage-7.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f4d1b837d1abf72187a61645dbf799e0d7705aa9232924946e1f57eb09a3bf00", size = 216361, upload-time = "2025-08-10T21:25:25.603Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/3a/c92e8cd5e89acc41cfc026dfb7acedf89661ce2ea1ee0ee13aacb6b2c20c/coverage-7.10.3-cp310-cp310-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:2a90dd4505d3cc68b847ab10c5ee81822a968b5191664e8a0801778fa60459fa", size = 243115, upload-time = "2025-08-10T21:25:27.09Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/23/53/c1d8c2778823b1d95ca81701bb8f42c87dc341a2f170acdf716567523490/coverage-7.10.3-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:d52989685ff5bf909c430e6d7f6550937bc6d6f3e6ecb303c97a86100efd4596", size = 244927, upload-time = "2025-08-10T21:25:28.77Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/79/41/1e115fd809031f432b4ff8e2ca19999fb6196ab95c35ae7ad5e07c001130/coverage-7.10.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdb558a1d97345bde3a9f4d3e8d11c9e5611f748646e9bb61d7d612a796671b5", size = 246784, upload-time = "2025-08-10T21:25:30.195Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/c7/b2/0eba9bdf8f1b327ae2713c74d4b7aa85451bb70622ab4e7b8c000936677c/coverage-7.10.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c9e6331a8f09cb1fc8bda032752af03c366870b48cce908875ba2620d20d0ad4", size = 244828, upload-time = "2025-08-10T21:25:31.785Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/1f/cc/74c56b6bf71f2a53b9aa3df8bc27163994e0861c065b4fe3a8ac290bed35/coverage-7.10.3-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:992f48bf35b720e174e7fae916d943599f1a66501a2710d06c5f8104e0756ee1", size = 242844, upload-time = "2025-08-10T21:25:33.37Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/b6/7b/ac183fbe19ac5596c223cb47af5737f4437e7566100b7e46cc29b66695a5/coverage-7.10.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c5595fc4ad6a39312c786ec3326d7322d0cf10e3ac6a6df70809910026d67cfb", size = 243721, upload-time = "2025-08-10T21:25:34.939Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/57/96/cb90da3b5a885af48f531905234a1e7376acfc1334242183d23154a1c285/coverage-7.10.3-cp310-cp310-win32.whl", hash = "sha256:9e92fa1f2bd5a57df9d00cf9ce1eb4ef6fccca4ceabec1c984837de55329db34", size = 218481, upload-time = "2025-08-10T21:25:36.935Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/15/67/1ba4c7d75745c4819c54a85766e0a88cc2bff79e1760c8a2debc34106dc2/coverage-7.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:b96524d6e4a3ce6a75c56bb15dbd08023b0ae2289c254e15b9fbdddf0c577416", size = 219382, upload-time = "2025-08-10T21:25:38.267Z" },
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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{ url = "https://files.pythonhosted.org/packages/f6/dc/a2873b7c5001c62f46266685863bee2888caf469d1edac84bf3242074be2/ruff-0.12.8-py3-none-win_amd64.whl", hash = "sha256:7209531f1a1fcfbe8e46bcd7ab30e2f43604d8ba1c49029bb420b103d0b5f76e", size = 12740482, upload-time = "2025-08-07T19:05:40.391Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cb/5c/799a1efb8b5abab56e8a9f2a0b72d12bd64bb55815e9476c7d0a2887d2f7/ruff-0.12.8-py3-none-win_arm64.whl", hash = "sha256:c90e1a334683ce41b0e7a04f41790c429bf5073b62c1ae701c9dc5b3d14f0749", size = 11884718, upload-time = "2025-08-07T19:05:42.866Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "silk-python"
|
||||
version = "0.2.6"
|
||||
|
||||
Reference in New Issue
Block a user