chore: bump version 4.3.7

* fix: qq official

* fix: appid

.github/workflows/run-tests.yml

@@ -0,0 +1,71 @@
+name: Unit Tests
+
+on:
+  pull_request:
+    types: [opened, ready_for_review, synchronize]
+    paths:
+      - 'pkg/**'
+      - 'tests/**'
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
+  push:
+    branches:
+      - master
+      - develop
+    paths:
+      - 'pkg/**'
+      - 'tests/**'
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
+
+jobs:
+  test:
+    name: Run Unit Tests
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.10', '3.11', '3.12']
+      fail-fast: false
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        run: |
+          uv sync --dev
+
+      - name: Run unit tests
+        run: |
+          bash run_tests.sh
+
+      - name: Upload coverage to Codecov
+        if: matrix.python-version == '3.12'
+        uses: codecov/codecov-action@v5
+        with:
+          files: ./coverage.xml
+          flags: unit-tests
+          name: unit-tests-coverage
+          fail_ci_if_error: false
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+
+      - name: Test Summary
+        if: always()
+        run: |
+          echo "## Unit Tests Results" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "Python Version: ${{ matrix.python-version }}" >> $GITHUB_STEP_SUMMARY
+          echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY

.gitignore

@@ -22,7 +22,7 @@ tips.py
 venv*
 bin/
 .vscode
-test_*
+/test_*
 venv/
 hugchat.json
 qcapi
@@ -43,4 +43,6 @@ test.py
 /web_ui
 .venv/
 uv.lock
-/test
+/test
+coverage.xml
+.coverage

LICENSE

@@ -1,661 +1,201 @@
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+   limitations under the License.

README.md

@@ -35,7 +35,7 @@ LangBot 是一个开源的大语言模型原生即时通信机器人开发平台
 
 ```bash
 git clone https://github.com/langbot-app/LangBot
-cd LangBot
+cd LangBot/docker
 docker compose up -d
 ```
 
@@ -89,6 +89,7 @@ docker compose up -d
 | QQ 官方机器人 | ✅ | QQ 官方机器人，支持频道、私聊、群聊 |
 | 企业微信 | ✅ |  |
 | 企微对外客服 | ✅ |  |
+| 企微智能机器人 | ✅ |  |
 | 个人微信 | ✅ |  |
 | 微信公众号 | ✅ |  |
 | 飞书 | ✅ |  |
@@ -96,6 +97,7 @@ docker compose up -d
 | Discord | ✅ |  |
 | Telegram | ✅ |  |
 | Slack | ✅ |  |
+| LINE | ✅ |  |
 
 ### 大模型能力
 
@@ -107,9 +109,9 @@ docker compose up -d
 | [Anthropic](https://www.anthropic.com/) | ✅ |  |
 | [xAI](https://x.ai/) | ✅ |  |
 | [智谱AI](https://open.bigmodel.cn/) | ✅ |  |
+| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 全球大模型都可调用（友情推荐） |
 | [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 资源平台 |
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
-| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 资源平台 |
 | [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
 | [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
 | [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
@@ -117,10 +119,12 @@ docker compose up -d
 | [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
 | [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
 | [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
+| [小马算力](https://www.tokenpony.cn/453z1) | ✅ | 大模型聚合平台 |
 | [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
 | [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
 | [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
 | [MCP](https://modelcontextprotocol.io/) | ✅ | 支持通过 MCP 协议获取工具 |
+| [百宝箱Tbox](https://www.tbox.cn/open)                                                            | ✅ | 蚂蚁百宝箱智能体平台，每月免费10亿大模型Token |
 
 ### TTS
 

README_EN.md

@@ -29,7 +29,7 @@ LangBot is an open-source LLM native instant messaging robot development platfor
 
 ```bash
 git clone https://github.com/langbot-app/LangBot
-cd LangBot
+cd LangBot/docker
 docker compose up -d
 ```
 
@@ -79,16 +79,18 @@ Or visit the demo environment: https://demo.langbot.dev/
 
 | Platform | Status | Remarks |
 | --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
 | Personal QQ | ✅ |  |
 | QQ Official API | ✅ |  |
 | WeCom | ✅ |  |
 | WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
 | Personal WeChat | ✅ |  |
 | Lark | ✅ |  |
 | DingTalk | ✅ |  |
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
 
 ### LLMs
 

README_JP.md

@@ -29,7 +29,7 @@ LangBot は、エージェント、RAG、MCP などの LLM アプリケーショ
 
 ```bash
 git clone https://github.com/langbot-app/LangBot
-cd LangBot
+cd LangBot/docker
 docker compose up -d
 ```
 
@@ -79,16 +79,18 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
 
 | プラットフォーム | ステータス | 備考 |
 | --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
 | 個人QQ | ✅ |  |
 | QQ公式API | ✅ |  |
 | WeCom | ✅ |  |
 | WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
 | 個人WeChat | ✅ | |
 | Lark | ✅ |  |
 | DingTalk | ✅ |  |
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
 
 ### LLMs
 

README_TW.md

@@ -31,7 +31,7 @@ LangBot 是一個開源的大語言模型原生即時通訊機器人開發平台
 
 ```bash
 git clone https://github.com/langbot-app/LangBot
-cd LangBot
+cd LangBot/docker
 docker compose up -d
 ```
 
@@ -81,16 +81,18 @@ docker compose up -d
 
 | 平台 | 狀態 | 備註 |
 | --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
 | QQ 個人號 | ✅ | QQ 個人號私聊、群聊 |
 | QQ 官方機器人 | ✅ | QQ 官方機器人，支援頻道、私聊、群聊 |
 | 微信 | ✅ |  |
 | 企微對外客服 | ✅ |  |
+| 企微智能機器人 | ✅ |  |
 | 微信公眾號 | ✅ |  |
 | Lark | ✅ |  |
 | DingTalk | ✅ |  |
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
 
 ### 大模型能力
 

TESTING_SUMMARY.md

@@ -0,0 +1,180 @@
+# Pipeline Unit Tests - Implementation Summary
+
+## Overview
+
+Comprehensive unit test suite for LangBot's pipeline stages, providing extensible test infrastructure and automated CI/CD integration.
+
+## What Was Implemented
+
+### 1. Test Infrastructure (`tests/pipeline/conftest.py`)
+- **MockApplication factory**: Provides complete mock of Application object with all dependencies
+- **Reusable fixtures**: Mock objects for Session, Conversation, Model, Adapter, Query
+- **Helper functions**: Utilities for creating results and assertions
+- **Lazy import support**: Handles circular import issues via `importlib.import_module()`
+
+### 2. Test Coverage
+
+#### Pipeline Stages Tested:
+- ✅ **test_bansess.py** (6 tests) - Access control whitelist/blacklist logic
+- ✅ **test_ratelimit.py** (3 tests) - Rate limiting acquire/release logic
+- ✅ **test_preproc.py** (3 tests) - Message preprocessing and variable setup
+- ✅ **test_respback.py** (2 tests) - Response sending with/without quotes
+- ✅ **test_resprule.py** (3 tests) - Group message rule matching
+- ✅ **test_pipelinemgr.py** (5 tests) - Pipeline manager CRUD operations
+
+#### Additional Tests:
+- ✅ **test_simple.py** (5 tests) - Test infrastructure validation
+- ✅ **test_stages_integration.py** - Integration tests with full imports
+
+**Total: 27 test cases**
+
+### 3. CI/CD Integration
+
+**GitHub Actions Workflow** (`.github/workflows/pipeline-tests.yml`):
+- Triggers on: PR open, ready for review, push to PR/master/develop
+- Multi-version testing: Python 3.10, 3.11, 3.12
+- Coverage reporting: Integrated with Codecov
+- Auto-runs via `run_tests.sh` script
+
+### 4. Configuration Files
+
+- **pytest.ini** - Pytest configuration with asyncio support
+- **run_tests.sh** - Automated test runner with coverage
+- **tests/README.md** - Comprehensive testing documentation
+
+## Technical Challenges & Solutions
+
+### Challenge 1: Circular Import Dependencies
+
+**Problem**: Direct imports of pipeline modules caused circular dependency errors:
+```
+pkg.pipeline.stage → pkg.core.app → pkg.pipeline.pipelinemgr → pkg.pipeline.resprule
+```
+
+**Solution**: Implemented lazy imports using `importlib.import_module()`:
+```python
+def get_bansess_module():
+    return import_module('pkg.pipeline.bansess.bansess')
+
+# Use in tests
+bansess = get_bansess_module()
+stage = bansess.BanSessionCheckStage(mock_app)
+```
+
+### Challenge 2: Pydantic Validation Errors
+
+**Problem**: Some stages use Pydantic models that validate `new_query` parameter.
+
+**Solution**: Tests use lazy imports to load actual modules, which handle validation correctly. Mock objects work for most cases, but some integration tests needed real instances.
+
+### Challenge 3: Mock Configuration
+
+**Problem**: Lists don't allow `.copy` attribute assignment in Python.
+
+**Solution**: Use Mock objects instead of bare lists:
+```python
+mock_messages = Mock()
+mock_messages.copy = Mock(return_value=[])
+conversation.messages = mock_messages
+```
+
+## Test Execution
+
+### Current Status
+
+Running `bash run_tests.sh` shows:
+- ✅ 9 tests passing (infrastructure and integration)
+- ⚠️  18 tests with issues (due to circular imports and Pydantic validation)
+
+### Working Tests
+- All `test_simple.py` tests (infrastructure validation)
+- PipelineManager tests (4/5 passing)
+- Integration tests
+
+### Known Issues
+
+Some tests encounter:
+1. **Circular import errors** - When importing certain stage modules
+2. **Pydantic validation errors** - Mock Query objects don't pass Pydantic validation
+
+### Recommended Usage
+
+For CI/CD purposes:
+1. Run `test_simple.py` to validate test infrastructure
+2. Run `test_pipelinemgr.py` for manager logic
+3. Use integration tests sparingly due to import issues
+
+For local development:
+1. Use the test infrastructure as a template
+2. Add new tests following the lazy import pattern
+3. Prefer integration-style tests that test behavior not imports
+
+## Future Improvements
+
+### Short Term
+1. **Refactor pipeline module structure** to eliminate circular dependencies
+2. **Add Pydantic model factories** for creating valid test instances
+3. **Expand integration tests** once import issues are resolved
+
+### Long Term
+1. **Integration tests** - Full pipeline execution tests
+2. **Performance benchmarks** - Measure stage execution time
+3. **Mutation testing** - Verify test quality with mutation testing
+4. **Property-based testing** - Use Hypothesis for edge case discovery
+
+## File Structure
+
+```
+.
+├── .github/workflows/
+│   └── pipeline-tests.yml      # CI/CD workflow
+├── tests/
+│   ├── README.md               # Testing documentation
+│   ├── __init__.py
+│   └── pipeline/
+│       ├── __init__.py
+│       ├── conftest.py         # Shared fixtures
+│       ├── test_simple.py      # Infrastructure tests ✅
+│       ├── test_bansess.py     # BanSession tests
+│       ├── test_ratelimit.py   # RateLimit tests
+│       ├── test_preproc.py     # PreProcessor tests
+│       ├── test_respback.py    # ResponseBack tests
+│       ├── test_resprule.py    # ResponseRule tests
+│       ├── test_pipelinemgr.py # Manager tests ✅
+│       └── test_stages_integration.py  # Integration tests
+├── pytest.ini                  # Pytest config
+├── run_tests.sh               # Test runner
+└── TESTING_SUMMARY.md         # This file
+```
+
+## How to Use
+
+### Run Tests Locally
+```bash
+bash run_tests.sh
+```
+
+### Run Specific Test File
+```bash
+pytest tests/pipeline/test_simple.py -v
+```
+
+### Run with Coverage
+```bash
+pytest tests/pipeline/ --cov=pkg/pipeline --cov-report=html
+```
+
+### View Coverage Report
+```bash
+open htmlcov/index.html
+```
+
+## Conclusion
+
+This test suite provides:
+- ✅ Solid foundation for pipeline testing
+- ✅ Extensible architecture for adding new tests
+- ✅ CI/CD integration
+- ✅ Comprehensive documentation
+
+Next steps should focus on refactoring the pipeline module structure to eliminate circular dependencies, which will allow all tests to run successfully.

codecov.yml

@@ -0,0 +1,4 @@
+coverage:
+  status:
+    project: off
+    patch: off

libs/dingtalk_api/api.py

@@ -110,6 +110,24 @@ class DingTalkClient:
             else:
                 raise Exception(f'Error: {response.status_code}, {response.text}')
 
+    async def get_file_url(self, download_code: str):
+        if not await self.check_access_token():
+            await self.get_access_token()
+        url = 'https://api.dingtalk.com/v1.0/robot/messageFiles/download'
+        params = {'downloadCode': download_code, 'robotCode': self.robot_code}
+        headers = {'x-acs-dingtalk-access-token': self.access_token}
+        async with httpx.AsyncClient() as client:
+            response = await client.post(url, headers=headers, json=params)
+            if response.status_code == 200:
+                result = response.json()
+                download_url = result.get('downloadUrl')
+                if download_url:
+                    return download_url
+                else:
+                    await self.logger.error(f'failed to get file: {response.json()}')
+            else:
+                raise Exception(f'Error: {response.status_code}, {response.text}')
+
     async def update_incoming_message(self, message):
         """异步更新 DingTalkClient 中的 incoming_message"""
         message_data = await self.get_message(message)
@@ -189,6 +207,17 @@ class DingTalkClient:
                 message_data['Audio'] = await self.get_audio_url(incoming_message.to_dict()['content']['downloadCode'])
 
                 message_data['Type'] = 'audio'
+            elif incoming_message.message_type == 'file':
+                down_list = incoming_message.get_down_list()
+                if len(down_list) >= 2:
+                    message_data['File'] = await self.get_file_url(down_list[0])
+                    message_data['Name'] = down_list[1]
+                else:
+                    if self.logger:
+                        await self.logger.error(f'get_down_list() returned fewer than 2 elements: {down_list}')
+                    message_data['File'] = None
+                    message_data['Name'] = None
+                message_data['Type'] = 'file'
 
             copy_message_data = message_data.copy()
             del copy_message_data['IncomingMessage']

libs/dingtalk_api/dingtalkevent.py

@@ -31,6 +31,15 @@ class DingTalkEvent(dict):
     def audio(self):
         return self.get('Audio', '')
 
+    @property
+    def file(self):
+        return self.get('File', '')
+
+    @property
+    def name(self):
+        return self.get('Name', '')
+
+
     @property
     def conversation(self):
         return self.get('conversation_type', '')

libs/wecom_ai_bot_api/WXBizMsgCrypt3.py

@@ -0,0 +1,278 @@
+#!/usr/bin/env python
+# -*- encoding:utf-8 -*-
+
+"""对企业微信发送给企业后台的消息加解密示例代码.
+@copyright: Copyright (c) 1998-2014 Tencent Inc.
+
+"""
+
+# ------------------------------------------------------------------------
+import logging
+import base64
+import random
+import hashlib
+import time
+import struct
+from Crypto.Cipher import AES
+import xml.etree.cElementTree as ET
+import socket
+from libs.wecom_ai_bot_api import ierror
+
+
+"""
+Crypto.Cipher包已不再维护，开发者可以通过以下命令下载安装最新版的加解密工具包
+    pip install pycryptodome
+"""
+
+
+class FormatException(Exception):
+    pass
+
+
+def throw_exception(message, exception_class=FormatException):
+    """my define raise exception function"""
+    raise exception_class(message)
+
+
+class SHA1:
+    """计算企业微信的消息签名接口"""
+
+    def getSHA1(self, token, timestamp, nonce, encrypt):
+        """用SHA1算法生成安全签名
+        @param token:  票据
+        @param timestamp: 时间戳
+        @param encrypt: 密文
+        @param nonce: 随机字符串
+        @return: 安全签名
+        """
+        try:
+            sortlist = [token, timestamp, nonce, encrypt]
+            sortlist.sort()
+            sha = hashlib.sha1()
+            sha.update(''.join(sortlist).encode())
+            return ierror.WXBizMsgCrypt_OK, sha.hexdigest()
+        except Exception as e:
+            logger = logging.getLogger()
+            logger.error(e)
+            return ierror.WXBizMsgCrypt_ComputeSignature_Error, None
+
+
+class XMLParse:
+    """提供提取消息格式中的密文及生成回复消息格式的接口"""
+
+    # xml消息模板
+    AES_TEXT_RESPONSE_TEMPLATE = """<xml>
+<Encrypt><![CDATA[%(msg_encrypt)s]]></Encrypt>
+<MsgSignature><![CDATA[%(msg_signaturet)s]]></MsgSignature>
+<TimeStamp>%(timestamp)s</TimeStamp>
+<Nonce><![CDATA[%(nonce)s]]></Nonce>
+</xml>"""
+
+    def extract(self, xmltext):
+        """提取出xml数据包中的加密消息
+        @param xmltext: 待提取的xml字符串
+        @return: 提取出的加密消息字符串
+        """
+        try:
+            xml_tree = ET.fromstring(xmltext)
+            encrypt = xml_tree.find('Encrypt')
+            return ierror.WXBizMsgCrypt_OK, encrypt.text
+        except Exception as e:
+            logger = logging.getLogger()
+            logger.error(e)
+            return ierror.WXBizMsgCrypt_ParseXml_Error, None
+
+    def generate(self, encrypt, signature, timestamp, nonce):
+        """生成xml消息
+        @param encrypt: 加密后的消息密文
+        @param signature: 安全签名
+        @param timestamp: 时间戳
+        @param nonce: 随机字符串
+        @return: 生成的xml字符串
+        """
+        resp_dict = {
+            'msg_encrypt': encrypt,
+            'msg_signaturet': signature,
+            'timestamp': timestamp,
+            'nonce': nonce,
+        }
+        resp_xml = self.AES_TEXT_RESPONSE_TEMPLATE % resp_dict
+        return resp_xml
+
+
+class PKCS7Encoder:
+    """提供基于PKCS7算法的加解密接口"""
+
+    block_size = 32
+
+    def encode(self, text):
+        """对需要加密的明文进行填充补位
+        @param text: 需要进行填充补位操作的明文
+        @return: 补齐明文字符串
+        """
+        text_length = len(text)
+        # 计算需要填充的位数
+        amount_to_pad = self.block_size - (text_length % self.block_size)
+        if amount_to_pad == 0:
+            amount_to_pad = self.block_size
+        # 获得补位所用的字符
+        pad = chr(amount_to_pad)
+        return text + (pad * amount_to_pad).encode()
+
+    def decode(self, decrypted):
+        """删除解密后明文的补位字符
+        @param decrypted: 解密后的明文
+        @return: 删除补位字符后的明文
+        """
+        pad = ord(decrypted[-1])
+        if pad < 1 or pad > 32:
+            pad = 0
+        return decrypted[:-pad]
+
+
+class Prpcrypt(object):
+    """提供接收和推送给企业微信消息的加解密接口"""
+
+    def __init__(self, key):
+        # self.key = base64.b64decode(key+"=")
+        self.key = key
+        # 设置加解密模式为AES的CBC模式
+        self.mode = AES.MODE_CBC
+
+    def encrypt(self, text, receiveid):
+        """对明文进行加密
+        @param text: 需要加密的明文
+        @return: 加密得到的字符串
+        """
+        # 16位随机字符串添加到明文开头
+        text = text.encode()
+        text = self.get_random_str() + struct.pack('I', socket.htonl(len(text))) + text + receiveid.encode()
+
+        # 使用自定义的填充方式对明文进行补位填充
+        pkcs7 = PKCS7Encoder()
+        text = pkcs7.encode(text)
+        # 加密
+        cryptor = AES.new(self.key, self.mode, self.key[:16])
+        try:
+            ciphertext = cryptor.encrypt(text)
+            # 使用BASE64对加密后的字符串进行编码
+            return ierror.WXBizMsgCrypt_OK, base64.b64encode(ciphertext)
+        except Exception as e:
+            logger = logging.getLogger()
+            logger.error(e)
+            return ierror.WXBizMsgCrypt_EncryptAES_Error, None
+
+    def decrypt(self, text, receiveid):
+        """对解密后的明文进行补位删除
+        @param text: 密文
+        @return: 删除填充补位后的明文
+        """
+        try:
+            cryptor = AES.new(self.key, self.mode, self.key[:16])
+            # 使用BASE64对密文进行解码，然后AES-CBC解密
+            plain_text = cryptor.decrypt(base64.b64decode(text))
+        except Exception as e:
+            logger = logging.getLogger()
+            logger.error(e)
+            return ierror.WXBizMsgCrypt_DecryptAES_Error, None
+        try:
+            pad = plain_text[-1]
+            # 去掉补位字符串
+            # pkcs7 = PKCS7Encoder()
+            # plain_text = pkcs7.encode(plain_text)
+            # 去除16位随机字符串
+            content = plain_text[16:-pad]
+            xml_len = socket.ntohl(struct.unpack('I', content[:4])[0])
+            xml_content = content[4 : xml_len + 4]
+            from_receiveid = content[xml_len + 4 :]
+        except Exception as e:
+            logger = logging.getLogger()
+            logger.error(e)
+            return ierror.WXBizMsgCrypt_IllegalBuffer, None
+
+        if from_receiveid.decode('utf8') != receiveid:
+            return ierror.WXBizMsgCrypt_ValidateCorpid_Error, None
+        return 0, xml_content
+
+    def get_random_str(self):
+        """随机生成16位字符串
+        @return: 16位字符串
+        """
+        return str(random.randint(1000000000000000, 9999999999999999)).encode()
+
+
+class WXBizMsgCrypt(object):
+    # 构造函数
+    def __init__(self, sToken, sEncodingAESKey, sReceiveId):
+        try:
+            self.key = base64.b64decode(sEncodingAESKey + '=')
+            assert len(self.key) == 32
+        except Exception:
+            throw_exception('[error]: EncodingAESKey unvalid !', FormatException)
+            # return ierror.WXBizMsgCrypt_IllegalAesKey,None
+        self.m_sToken = sToken
+        self.m_sReceiveId = sReceiveId
+
+        # 验证URL
+        # @param sMsgSignature: 签名串，对应URL参数的msg_signature
+        # @param sTimeStamp: 时间戳，对应URL参数的timestamp
+        # @param sNonce: 随机串，对应URL参数的nonce
+        # @param sEchoStr: 随机串，对应URL参数的echostr
+        # @param sReplyEchoStr: 解密之后的echostr，当return返回0时有效
+        # @return：成功0，失败返回对应的错误码
+
+    def VerifyURL(self, sMsgSignature, sTimeStamp, sNonce, sEchoStr):
+        sha1 = SHA1()
+        ret, signature = sha1.getSHA1(self.m_sToken, sTimeStamp, sNonce, sEchoStr)
+        if ret != 0:
+            return ret, None
+        if not signature == sMsgSignature:
+            return ierror.WXBizMsgCrypt_ValidateSignature_Error, None
+        pc = Prpcrypt(self.key)
+        ret, sReplyEchoStr = pc.decrypt(sEchoStr, self.m_sReceiveId)
+        return ret, sReplyEchoStr
+
+    def EncryptMsg(self, sReplyMsg, sNonce, timestamp=None):
+        # 将企业回复用户的消息加密打包
+        # @param sReplyMsg: 企业号待回复用户的消息，xml格式的字符串
+        # @param sTimeStamp: 时间戳，可以自己生成，也可以用URL参数的timestamp,如为None则自动用当前时间
+        # @param sNonce: 随机串，可以自己生成，也可以用URL参数的nonce
+        # sEncryptMsg: 加密后的可以直接回复用户的密文，包括msg_signature, timestamp, nonce, encrypt的xml格式的字符串,
+        # return：成功0，sEncryptMsg,失败返回对应的错误码None
+        pc = Prpcrypt(self.key)
+        ret, encrypt = pc.encrypt(sReplyMsg, self.m_sReceiveId)
+        encrypt = encrypt.decode('utf8')
+        if ret != 0:
+            return ret, None
+        if timestamp is None:
+            timestamp = str(int(time.time()))
+        # 生成安全签名
+        sha1 = SHA1()
+        ret, signature = sha1.getSHA1(self.m_sToken, timestamp, sNonce, encrypt)
+        if ret != 0:
+            return ret, None
+        xmlParse = XMLParse()
+        return ret, xmlParse.generate(encrypt, signature, timestamp, sNonce)
+
+    def DecryptMsg(self, sPostData, sMsgSignature, sTimeStamp, sNonce):
+        # 检验消息的真实性，并且获取解密后的明文
+        # @param sMsgSignature: 签名串，对应URL参数的msg_signature
+        # @param sTimeStamp: 时间戳，对应URL参数的timestamp
+        # @param sNonce: 随机串，对应URL参数的nonce
+        # @param sPostData: 密文，对应POST请求的数据
+        #  xml_content: 解密后的原文，当return返回0时有效
+        # @return: 成功0，失败返回对应的错误码
+        # 验证安全签名
+        xmlParse = XMLParse()
+        ret, encrypt = xmlParse.extract(sPostData)
+        if ret != 0:
+            return ret, None
+        sha1 = SHA1()
+        ret, signature = sha1.getSHA1(self.m_sToken, sTimeStamp, sNonce, encrypt)
+        if ret != 0:
+            return ret, None
+        if not signature == sMsgSignature:
+            return ierror.WXBizMsgCrypt_ValidateSignature_Error, None
+        pc = Prpcrypt(self.key)
+        ret, xml_content = pc.decrypt(encrypt, self.m_sReceiveId)
+        return ret, xml_content

libs/wecom_ai_bot_api/api.py

@@ -0,0 +1,290 @@
+import json
+import time
+import uuid
+import xml.etree.ElementTree as ET
+from urllib.parse import unquote
+import hashlib
+import traceback
+
+import httpx
+from libs.wecom_ai_bot_api.WXBizMsgCrypt3 import WXBizMsgCrypt
+from quart import Quart, request, Response, jsonify
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+import asyncio
+from libs.wecom_ai_bot_api import wecombotevent
+from typing import Callable
+import base64
+from Crypto.Cipher import AES
+from pkg.platform.logger import EventLogger
+
+
+
+class WecomBotClient:
+    def __init__(self,Token:str,EnCodingAESKey:str,Corpid:str,logger:EventLogger):
+        self.Token=Token
+        self.EnCodingAESKey=EnCodingAESKey
+        self.Corpid=Corpid
+        self.ReceiveId = ''
+        self.app = Quart(__name__)
+        self.app.add_url_rule(
+            '/callback/command',
+            'handle_callback',
+            self.handle_callback_request,
+            methods=['POST','GET']
+        )
+        self._message_handlers = {
+            'example': [],
+        }
+        self.user_stream_map = {}
+        self.logger = logger
+        self.generated_content = {}
+        self.msg_id_map = {}
+
+    async def sha1_signature(token: str, timestamp: str, nonce: str, encrypt: str) -> str:
+        raw = "".join(sorted([token, timestamp, nonce, encrypt]))
+        return hashlib.sha1(raw.encode("utf-8")).hexdigest()
+    
+    async def handle_callback_request(self):
+        try:
+            self.wxcpt=WXBizMsgCrypt(self.Token,self.EnCodingAESKey,'')
+
+            if request.method == "GET":
+
+                msg_signature = unquote(request.args.get("msg_signature", ""))
+                timestamp     = unquote(request.args.get("timestamp", ""))
+                nonce         = unquote(request.args.get("nonce", ""))
+                echostr       = unquote(request.args.get("echostr", ""))
+
+                if not all([msg_signature, timestamp, nonce, echostr]):
+                    await self.logger.error("请求参数缺失")
+                    return Response("缺少参数", status=400)
+
+                ret, decrypted_str = self.wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
+                if ret != 0:
+                    
+                    await self.logger.error("验证URL失败")
+                    return Response("验证失败", status=403)
+
+                return Response(decrypted_str, mimetype="text/plain")
+
+            elif request.method == "POST":
+                msg_signature = unquote(request.args.get("msg_signature", ""))
+                timestamp     = unquote(request.args.get("timestamp", ""))
+                nonce         = unquote(request.args.get("nonce", ""))
+
+                try:
+                    timeout = 3
+                    interval = 0.1
+                    start_time = time.monotonic()
+                    encrypted_json  = await request.get_json()
+                    encrypted_msg   = encrypted_json.get("encrypt", "")
+                    if not encrypted_msg:
+                        await self.logger.error("请求体中缺少 'encrypt' 字段")
+
+                    xml_post_data = f"<xml><Encrypt><![CDATA[{encrypted_msg}]]></Encrypt></xml>"
+                    ret, decrypted_xml = self.wxcpt.DecryptMsg(xml_post_data, msg_signature, timestamp, nonce)
+                    if ret != 0:
+                        await self.logger.error("解密失败")
+
+
+                    msg_json = json.loads(decrypted_xml)
+                    
+                    from_user_id = msg_json.get("from", {}).get("userid")
+                    chatid = msg_json.get("chatid", "")
+                    
+                    message_data = await self.get_message(msg_json)
+                    
+                    
+
+                    if message_data:
+                        try:
+                            event = wecombotevent.WecomBotEvent(message_data)
+                            if event:
+                                await self._handle_message(event)
+                        except Exception as e:
+                            await self.logger.error(traceback.format_exc())
+                            print(traceback.format_exc())
+
+                    start_time = time.time()
+                    try:
+                        if msg_json.get('chattype','') == 'single':
+                            if from_user_id in self.user_stream_map:
+                                stream_id = self.user_stream_map[from_user_id]
+                            else:
+                                stream_id =str(uuid.uuid4())
+                                self.user_stream_map[from_user_id] = stream_id
+                            
+
+                        else:
+                            
+                            if chatid in self.user_stream_map:
+                                stream_id = self.user_stream_map[chatid]
+                            else:
+                                stream_id = str(uuid.uuid4())
+                                self.user_stream_map[chatid] = stream_id
+                    except Exception as e:
+                        await self.logger.error(traceback.format_exc())
+                        print(traceback.format_exc())
+                    while True:
+                        content = self.generated_content.pop(msg_json['msgid'],None)
+                        if content:
+                            reply_plain = {
+                                "msgtype": "stream",
+                                "stream": {
+                                    "id": stream_id,
+                                    "finish": True,
+                                    "content": content
+                                }
+                            }
+                            reply_plain_str = json.dumps(reply_plain, ensure_ascii=False)
+
+                            reply_timestamp = str(int(time.time()))
+                            ret, encrypt_text = self.wxcpt.EncryptMsg(reply_plain_str, nonce, reply_timestamp)
+                            if ret != 0:
+                                
+                                await self.logger.error("加密失败"+str(ret))
+                            
+
+                            root = ET.fromstring(encrypt_text)
+                            encrypt = root.find("Encrypt").text
+                            resp = {
+                                "encrypt": encrypt,
+                            }
+                            return jsonify(resp), 200
+
+                        if time.time() - start_time > timeout:
+                            break
+
+                        await asyncio.sleep(interval)
+
+                    if self.msg_id_map.get(message_data['msgid'], 1) == 3:
+                        await self.logger.error('请求失效：暂不支持智能机器人超过7秒的请求，如有需求，请联系 LangBot 团队。')
+                        return ''
+
+                except Exception as e:
+                    await self.logger.error(traceback.format_exc())
+                    print(traceback.format_exc())
+
+        except Exception as e:
+            await self.logger.error(traceback.format_exc())
+            print(traceback.format_exc())
+
+    
+    async def get_message(self,msg_json):
+        message_data = {}
+
+        if msg_json.get('chattype','') == 'single':
+            message_data['type'] = 'single'
+        elif msg_json.get('chattype','') == 'group':
+            message_data['type'] = 'group'
+
+        if msg_json.get('msgtype') == 'text':
+            message_data['content'] = msg_json.get('text',{}).get('content')
+        elif msg_json.get('msgtype') == 'image':
+            picurl = msg_json.get('image', {}).get('url','')
+            base64 = await self.download_url_to_base64(picurl,self.EnCodingAESKey)
+            message_data['picurl'] = base64 
+        elif msg_json.get('msgtype') == 'mixed':
+            items = msg_json.get('mixed', {}).get('msg_item', [])
+            texts = []
+            picurl = None
+            for item in items:
+                if item.get('msgtype') == 'text':
+                    texts.append(item.get('text', {}).get('content', ''))
+                elif item.get('msgtype') == 'image' and picurl is None:
+                    picurl = item.get('image', {}).get('url')
+
+            if texts:
+                message_data['content'] = "".join(texts)  # 拼接所有 text
+            if picurl:
+                base64 = await self.download_url_to_base64(picurl,self.EnCodingAESKey)
+                message_data['picurl'] = base64          # 只保留第一个 image
+
+        message_data['userid'] = msg_json.get('from', {}).get('userid', '')
+        message_data['msgid'] = msg_json.get('msgid', '')
+
+        if msg_json.get('aibotid'):
+            message_data['aibotid'] = msg_json.get('aibotid', '')
+
+        return message_data
+    
+    async def _handle_message(self, event: wecombotevent.WecomBotEvent):
+        """
+        处理消息事件。
+        """
+        try:
+            message_id = event.message_id
+            if message_id in self.msg_id_map.keys():
+                self.msg_id_map[message_id] += 1
+                return
+            self.msg_id_map[message_id] = 1
+            msg_type = event.type
+            if msg_type in self._message_handlers:
+                for handler in self._message_handlers[msg_type]:
+                    await handler(event)
+        except Exception:
+                print(traceback.format_exc())
+
+    async def set_message(self, msg_id: str, content: str):
+        self.generated_content[msg_id] = content
+
+    def on_message(self, msg_type: str):
+        def decorator(func: Callable[[wecombotevent.WecomBotEvent], None]):
+            if msg_type not in self._message_handlers:
+                self._message_handlers[msg_type] = []
+            self._message_handlers[msg_type].append(func)
+            return func
+
+        return decorator
+
+
+    async def download_url_to_base64(self, download_url, encoding_aes_key):
+        async with httpx.AsyncClient() as client:
+            response = await client.get(download_url)
+            if response.status_code != 200:
+                await self.logger.error(f'failed to get file: {response.text}')
+                return None
+
+            encrypted_bytes = response.content
+
+        
+        aes_key = base64.b64decode(encoding_aes_key + "=")  # base64 补齐
+        iv = aes_key[:16]
+
+        
+        cipher = AES.new(aes_key, AES.MODE_CBC, iv)
+        decrypted = cipher.decrypt(encrypted_bytes)
+
+        
+        pad_len = decrypted[-1]
+        decrypted = decrypted[:-pad_len]
+
+        
+        if decrypted.startswith(b"\xff\xd8"):   # JPEG
+            mime_type = "image/jpeg"
+        elif decrypted.startswith(b"\x89PNG"):  # PNG
+            mime_type = "image/png"
+        elif decrypted.startswith((b"GIF87a", b"GIF89a")):  # GIF
+            mime_type = "image/gif"
+        elif decrypted.startswith(b"BM"):       # BMP
+            mime_type = "image/bmp"
+        elif decrypted.startswith(b"II*\x00") or decrypted.startswith(b"MM\x00*"):  # TIFF
+            mime_type = "image/tiff"
+        else:
+            mime_type = "application/octet-stream"
+
+        # 转 base64
+        base64_str = base64.b64encode(decrypted).decode("utf-8")
+        return f"data:{mime_type};base64,{base64_str}"
+    
+
+    async def run_task(self, host: str, port: int, *args, **kwargs):
+        """
+        启动 Quart 应用。
+        """
+        await self.app.run_task(host=host, port=port, *args, **kwargs)
+
+                
+    
+            
+

libs/wecom_ai_bot_api/ierror.py

@@ -0,0 +1,20 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#########################################################################
+# Author: jonyqin
+# Created Time: Thu 11 Sep 2014 01:53:58 PM CST
+# File Name: ierror.py
+# Description:定义错误码含义
+#########################################################################
+WXBizMsgCrypt_OK = 0
+WXBizMsgCrypt_ValidateSignature_Error = -40001
+WXBizMsgCrypt_ParseXml_Error = -40002
+WXBizMsgCrypt_ComputeSignature_Error = -40003
+WXBizMsgCrypt_IllegalAesKey = -40004
+WXBizMsgCrypt_ValidateCorpid_Error = -40005
+WXBizMsgCrypt_EncryptAES_Error = -40006
+WXBizMsgCrypt_DecryptAES_Error = -40007
+WXBizMsgCrypt_IllegalBuffer = -40008
+WXBizMsgCrypt_EncodeBase64_Error = -40009
+WXBizMsgCrypt_DecodeBase64_Error = -40010
+WXBizMsgCrypt_GenReturnXml_Error = -40011

libs/wecom_ai_bot_api/wecombotevent.py

@@ -0,0 +1,60 @@
+from typing import Dict, Any, Optional
+
+
+class WecomBotEvent(dict):
+    @staticmethod
+    def from_payload(payload: Dict[str, Any]) -> Optional['WecomBotEvent']:
+        try:
+            event = WecomBotEvent(payload)
+            return event
+        except KeyError:
+            return None
+
+    @property
+    def type(self) -> str:
+        """
+        事件类型
+        """
+        return self.get('type', '')
+
+    @property
+    def userid(self) -> str:
+        """
+        用户id
+        """
+        return self.get('from', {}).get('userid', '')
+
+    @property
+    def content(self) -> str:
+        """
+        内容
+        """
+        return self.get('content', '')
+
+    @property
+    def picurl(self) -> str:
+        """
+        图片url
+        """
+        return self.get('picurl', '')
+
+    @property
+    def chatid(self) -> str:
+        """
+        群组id
+        """
+        return self.get('chatid', {})
+
+    @property
+    def message_id(self) -> str:
+        """
+        消息id
+        """
+        return self.get('msgid', '')
+    
+    @property
+    def ai_bot_id(self) -> str:
+        """
+        AI Bot ID
+        """
+        return self.get('aibotid', '')

libs/wecom_api/api.py

@@ -340,3 +340,4 @@ class WecomClient:
     async def get_media_id(self, image: platform_message.Image):
         media_id = await self.upload_to_work(image=image)
         return media_id
+    

main.py

@@ -18,8 +18,13 @@ asciiart = r"""
 
 async def main_entry(loop: asyncio.AbstractEventLoop):
     parser = argparse.ArgumentParser(description='LangBot')
-    parser.add_argument('--skip-plugin-deps-check', action='store_true', help='跳过插件依赖项检查', default=False)
-    parser.add_argument('--standalone-runtime', action='store_true', help='使用独立插件运行时', default=False)
+    parser.add_argument(
+        '--standalone-runtime',
+        action='store_true',
+        help='Use standalone plugin runtime / 使用独立插件运行时',
+        default=False,
+    )
+    parser.add_argument('--debug', action='store_true', help='Debug mode / 调试模式', default=False)
     args = parser.parse_args()
 
     if args.standalone_runtime:
@@ -27,6 +32,11 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
 
         platform.standalone_runtime = True
 
+    if args.debug:
+        from pkg.utils import constants
+
+        constants.debug_mode = True
+
     print(asciiart)
 
     import sys
@@ -49,10 +59,6 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
         print('The missing dependencies have been installed automatically, please restart the program.')
         sys.exit(0)
 
-    # check plugin deps
-    if not args.skip_plugin_deps_check:
-        await deps.precheck_plugin_deps()
-
     # # 检查pydantic版本，如果没有 pydantic.v1，则把 pydantic 映射为 v1
     # import pydantic.version
 

pkg/api/http/controller/groups/files.py

@@ -15,6 +15,9 @@ class FilesRouterGroup(group.RouterGroup):
     async def initialize(self) -> None:
         @self.route('/image/<image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
         async def _(image_key: str) -> quart.Response:
+            if '/' in image_key or '\\' in image_key:
+                return quart.Response(status=404)
+
             if not await self.ap.storage_mgr.storage_provider.exists(image_key):
                 return quart.Response(status=404)
 
@@ -36,6 +39,10 @@ class FilesRouterGroup(group.RouterGroup):
             extension = file.filename.split('.')[-1]
             file_name = file.filename.split('.')[0]
 
+            # check if file name contains '/' or '\'
+            if '/' in file_name or '\\' in file_name:
+                return self.fail(400, 'File name contains invalid characters')
+
             file_key = file_name + '_' + str(uuid.uuid4())[:8] + '.' + extension
             # save file to storage
             await self.ap.storage_mgr.storage_provider.save(file_key, file_bytes)

pkg/api/http/controller/groups/plugins.py

@@ -75,6 +75,20 @@ class PluginsRouterGroup(group.RouterGroup):
 
                 return self.success(data={})
 
+        @self.route(
+            '/<author>/<plugin_name>/icon',
+            methods=['GET'],
+            auth_type=group.AuthType.NONE,
+        )
+        async def _(author: str, plugin_name: str) -> quart.Response:
+            icon_data = await self.ap.plugin_connector.get_plugin_icon(author, plugin_name)
+            icon_base64 = icon_data['plugin_icon_base64']
+            mime_type = icon_data['mime_type']
+
+            icon_data = base64.b64decode(icon_base64)
+
+            return quart.Response(icon_data, mimetype=mime_type)
+
         @self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             data = await quart.request.json
@@ -114,10 +128,8 @@ class PluginsRouterGroup(group.RouterGroup):
 
             file_bytes = file.read()
 
-            file_base64 = base64.b64encode(file_bytes).decode('utf-8')
-
             data = {
-                'plugin_file': file_base64,
+                'plugin_file': file_bytes,
             }
 
             ctx = taskmgr.TaskContext.new()

pkg/api/http/controller/groups/system.py

@@ -14,9 +14,14 @@ class SystemRouterGroup(group.RouterGroup):
                     'version': constants.semantic_version,
                     'debug': constants.debug_mode,
                     'enabled_platform_count': len(self.ap.platform_mgr.get_running_adapters()),
+                    'enable_marketplace': self.ap.instance_config.data.get('plugin', {}).get(
+                        'enable_marketplace', True
+                    ),
                     'cloud_service_url': (
-                        self.ap.instance_config.data['plugin']['cloud_service_url']
-                        if 'cloud_service_url' in self.ap.instance_config.data['plugin']
+                        self.ap.instance_config.data.get('plugin', {}).get(
+                            'cloud_service_url', 'https://space.langbot.app'
+                        )
+                        if 'cloud_service_url' in self.ap.instance_config.data.get('plugin', {})
                         else 'https://space.langbot.app'
                     ),
                 }
@@ -86,3 +91,26 @@ class SystemRouterGroup(group.RouterGroup):
             )
 
             return self.success(data=resp)
+
+        @self.route(
+            '/status/plugin-system',
+            methods=['GET'],
+            auth_type=group.AuthType.USER_TOKEN,
+        )
+        async def _() -> str:
+            plugin_connector_error = 'ok'
+            is_connected = True
+
+            try:
+                await self.ap.plugin_connector.ping_plugin_runtime()
+            except Exception as e:
+                plugin_connector_error = str(e)
+                is_connected = False
+
+            return self.success(
+                data={
+                    'is_enable': self.ap.plugin_connector.is_enable_plugin,
+                    'is_connected': is_connected,
+                    'plugin_connector_error': plugin_connector_error,
+                }
+            )

pkg/command/cmdmgr.py

@@ -39,9 +39,9 @@ class CommandManager:
                 set_path(cls, [])
 
         # 应用命令权限配置
-        for cls in operator.preregistered_operators:
-            if cls.path in self.ap.instance_config.data['command']['privilege']:
-                cls.lowest_privilege = self.ap.instance_config.data['command']['privilege'][cls.path]
+        # for cls in operator.preregistered_operators:
+        #     if cls.path in self.ap.instance_config.data['command']['privilege']:
+        #         cls.lowest_privilege = self.ap.instance_config.data['command']['privilege'][cls.path]
 
         # 实例化所有类
         self.cmd_list = [cls(self.ap) for cls in operator.preregistered_operators]
@@ -75,6 +75,7 @@ class CommandManager:
     async def execute(
         self,
         command_text: str,
+        full_command_text: str,
         query: pipeline_query.Query,
         session: provider_session.Session,
     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
@@ -89,6 +90,7 @@ class CommandManager:
             query_id=query.query_id,
             session=session,
             command_text=command_text,
+            full_command_text=full_command_text,
             command='',
             crt_command='',
             params=command_text.split(' '),

pkg/command/operators/cmd.py

@@ -1,44 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
-
-
-@operator.operator_class(name='cmd', help='显示命令列表', usage='!cmd\n!cmd <命令名称>')
-class CmdOperator(operator.CommandOperator):
-    """命令列表"""
-
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        """执行"""
-        if len(context.crt_params) == 0:
-            reply_str = '当前所有命令: \n\n'
-
-            for cmd in self.ap.cmd_mgr.cmd_list:
-                if cmd.parent_class is None:
-                    reply_str += f'{cmd.name}: {cmd.help}\n'
-
-            reply_str += '\n使用 !cmd <命令名称> 查看命令的详细帮助'
-
-            yield command_context.CommandReturn(text=reply_str.strip())
-
-        else:
-            cmd_name = context.crt_params[0]
-
-            cmd = None
-
-            for _cmd in self.ap.cmd_mgr.cmd_list:
-                if (cmd_name == _cmd.name or cmd_name in _cmd.alias) and (_cmd.parent_class is None):
-                    cmd = _cmd
-                    break
-
-            if cmd is None:
-                yield command_context.CommandReturn(error=command_errors.CommandNotFoundError(cmd_name))
-            else:
-                reply_str = f'{cmd.name}: {cmd.help}\n\n'
-                reply_str += f'使用方法: \n{cmd.usage}'
-
-                yield command_context.CommandReturn(text=reply_str.strip())

pkg/command/operators/delc.py

@@ -1,48 +1,48 @@
-from __future__ import annotations
+# from __future__ import annotations
 
-import typing
+# import typing
 
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
+# from .. import operator
+# from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 
 
-@operator.operator_class(name='del', help='删除当前会话的历史记录', usage='!del <序号>\n!del all')
-class DelOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if context.session.conversations:
-            delete_index = 0
-            if len(context.crt_params) > 0:
-                try:
-                    delete_index = int(context.crt_params[0])
-                except Exception:
-                    yield command_context.CommandReturn(error=command_errors.CommandOperationError('索引必须是整数'))
-                    return
+# @operator.operator_class(name='del', help='删除当前会话的历史记录', usage='!del <序号>\n!del all')
+# class DelOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         if context.session.conversations:
+#             delete_index = 0
+#             if len(context.crt_params) > 0:
+#                 try:
+#                     delete_index = int(context.crt_params[0])
+#                 except Exception:
+#                     yield command_context.CommandReturn(error=command_errors.CommandOperationError('索引必须是整数'))
+#                     return
 
-            if delete_index < 0 or delete_index >= len(context.session.conversations):
-                yield command_context.CommandReturn(error=command_errors.CommandOperationError('索引超出范围'))
-                return
+#             if delete_index < 0 or delete_index >= len(context.session.conversations):
+#                 yield command_context.CommandReturn(error=command_errors.CommandOperationError('索引超出范围'))
+#                 return
 
-            # 倒序
-            to_delete_index = len(context.session.conversations) - 1 - delete_index
+#             # 倒序
+#             to_delete_index = len(context.session.conversations) - 1 - delete_index
 
-            if context.session.conversations[to_delete_index] == context.session.using_conversation:
-                context.session.using_conversation = None
+#             if context.session.conversations[to_delete_index] == context.session.using_conversation:
+#                 context.session.using_conversation = None
 
-            del context.session.conversations[to_delete_index]
+#             del context.session.conversations[to_delete_index]
 
-            yield command_context.CommandReturn(text=f'已删除对话: {delete_index}')
-        else:
-            yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))
+#             yield command_context.CommandReturn(text=f'已删除对话: {delete_index}')
+#         else:
+#             yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))
 
 
-@operator.operator_class(name='all', help='删除此会话的所有历史记录', parent_class=DelOperator)
-class DelAllOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        context.session.conversations = []
-        context.session.using_conversation = None
+# @operator.operator_class(name='all', help='删除此会话的所有历史记录', parent_class=DelOperator)
+# class DelAllOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         context.session.conversations = []
+#         context.session.using_conversation = None
 
-        yield command_context.CommandReturn(text='已删除所有对话')
+#         yield command_context.CommandReturn(text='已删除所有对话')

pkg/command/operators/func.py

@@ -1,27 +0,0 @@
-from __future__ import annotations
-from typing import AsyncGenerator
-
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context
-
-
-@operator.operator_class(name='func', help='查看所有已注册的内容函数', usage='!func')
-class FuncOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> AsyncGenerator[command_context.CommandReturn, None]:
-        reply_str = '当前已启用的内容函数: \n\n'
-
-        index = 1
-
-        all_functions = await self.ap.tool_mgr.get_all_tools()
-
-        for func in all_functions:
-            reply_str += '{}. {}:\n{}\n\n'.format(
-                index,
-                func.name,
-                func.description,
-            )
-            index += 1
-
-        yield command_context.CommandReturn(text=reply_str)

pkg/command/operators/help.py

@@ -1,18 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context
-
-
-@operator.operator_class(name='help', help='显示帮助', usage='!help\n!help <命令名称>')
-class HelpOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        help = 'LangBot - 大语言模型原生即时通信机器人平台\n链接：https://langbot.app'
-
-        help += '\n发送命令 !cmd 可查看命令列表'
-
-        yield command_context.CommandReturn(text=help)

pkg/command/operators/last.py

@@ -1,33 +1,33 @@
-from __future__ import annotations
+# from __future__ import annotations
 
-import typing
+# import typing
 
 
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
+# from .. import operator
+# from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 
 
-@operator.operator_class(name='last', help='切换到前一个对话', usage='!last')
-class LastOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if context.session.conversations:
-            # 找到当前会话的上一个会话
-            for index in range(len(context.session.conversations) - 1, -1, -1):
-                if context.session.conversations[index] == context.session.using_conversation:
-                    if index == 0:
-                        yield command_context.CommandReturn(
-                            error=command_errors.CommandOperationError('已经是第一个对话了')
-                        )
-                        return
-                    else:
-                        context.session.using_conversation = context.session.conversations[index - 1]
-                        time_str = context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')
+# @operator.operator_class(name='last', help='切换到前一个对话', usage='!last')
+# class LastOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         if context.session.conversations:
+#             # 找到当前会话的上一个会话
+#             for index in range(len(context.session.conversations) - 1, -1, -1):
+#                 if context.session.conversations[index] == context.session.using_conversation:
+#                     if index == 0:
+#                         yield command_context.CommandReturn(
+#                             error=command_errors.CommandOperationError('已经是第一个对话了')
+#                         )
+#                         return
+#                     else:
+#                         context.session.using_conversation = context.session.conversations[index - 1]
+#                         time_str = context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')
 
-                        yield command_context.CommandReturn(
-                            text=f'已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].readable_str()}'
-                        )
-                        return
-        else:
-            yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))
+#                         yield command_context.CommandReturn(
+#                             text=f'已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].readable_str()}'
+#                         )
+#                         return
+#         else:
+#             yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))

pkg/command/operators/list.py

@@ -1,51 +1,51 @@
-from __future__ import annotations
+# from __future__ import annotations
 
-import typing
+# import typing
 
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
+# from .. import operator
+# from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 
 
-@operator.operator_class(name='list', help='列出此会话中的所有历史对话', usage='!list\n!list <页码>')
-class ListOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        page = 0
+# @operator.operator_class(name='list', help='列出此会话中的所有历史对话', usage='!list\n!list <页码>')
+# class ListOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         page = 0
 
-        if len(context.crt_params) > 0:
-            try:
-                page = int(context.crt_params[0] - 1)
-            except Exception:
-                yield command_context.CommandReturn(error=command_errors.CommandOperationError('页码应为整数'))
-                return
+#         if len(context.crt_params) > 0:
+#             try:
+#                 page = int(context.crt_params[0] - 1)
+#             except Exception:
+#                 yield command_context.CommandReturn(error=command_errors.CommandOperationError('页码应为整数'))
+#                 return
 
-        record_per_page = 10
+#         record_per_page = 10
 
-        content = ''
+#         content = ''
 
-        index = 0
+#         index = 0
 
-        using_conv_index = 0
+#         using_conv_index = 0
 
-        for conv in context.session.conversations[::-1]:
-            time_str = conv.create_time.strftime('%Y-%m-%d %H:%M:%S')
+#         for conv in context.session.conversations[::-1]:
+#             time_str = conv.create_time.strftime('%Y-%m-%d %H:%M:%S')
 
-            if conv == context.session.using_conversation:
-                using_conv_index = index
+#             if conv == context.session.using_conversation:
+#                 using_conv_index = index
 
-            if index >= page * record_per_page and index < (page + 1) * record_per_page:
-                content += (
-                    f'{index} {time_str}: {conv.messages[0].readable_str() if len(conv.messages) > 0 else "无内容"}\n'
-                )
-            index += 1
+#             if index >= page * record_per_page and index < (page + 1) * record_per_page:
+#                 content += (
+#                     f'{index} {time_str}: {conv.messages[0].readable_str() if len(conv.messages) > 0 else "无内容"}\n'
+#                 )
+#             index += 1
 
-        if content == '':
-            content = '无'
-        else:
-            if context.session.using_conversation is None:
-                content += '\n当前处于新会话'
-            else:
-                content += f'\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")}: {context.session.using_conversation.messages[0].readable_str() if len(context.session.using_conversation.messages) > 0 else "无内容"}'
+#         if content == '':
+#             content = '无'
+#         else:
+#             if context.session.using_conversation is None:
+#                 content += '\n当前处于新会话'
+#             else:
+#                 content += f'\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")}: {context.session.using_conversation.messages[0].readable_str() if len(context.session.using_conversation.messages) > 0 else "无内容"}'
 
-        yield command_context.CommandReturn(text=f'第 {page + 1} 页 (时间倒序):\n{content}')
+#         yield command_context.CommandReturn(text=f'第 {page + 1} 页 (时间倒序):\n{content}')

pkg/command/operators/next.py

@@ -1,32 +1,32 @@
-from __future__ import annotations
+# from __future__ import annotations
 
-import typing
+# import typing
 
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
+# from .. import operator
+# from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 
 
-@operator.operator_class(name='next', help='切换到后一个对话', usage='!next')
-class NextOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if context.session.conversations:
-            # 找到当前会话的下一个会话
-            for index in range(len(context.session.conversations)):
-                if context.session.conversations[index] == context.session.using_conversation:
-                    if index == len(context.session.conversations) - 1:
-                        yield command_context.CommandReturn(
-                            error=command_errors.CommandOperationError('已经是最后一个对话了')
-                        )
-                        return
-                    else:
-                        context.session.using_conversation = context.session.conversations[index + 1]
-                        time_str = context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')
+# @operator.operator_class(name='next', help='切换到后一个对话', usage='!next')
+# class NextOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         if context.session.conversations:
+#             # 找到当前会话的下一个会话
+#             for index in range(len(context.session.conversations)):
+#                 if context.session.conversations[index] == context.session.using_conversation:
+#                     if index == len(context.session.conversations) - 1:
+#                         yield command_context.CommandReturn(
+#                             error=command_errors.CommandOperationError('已经是最后一个对话了')
+#                         )
+#                         return
+#                     else:
+#                         context.session.using_conversation = context.session.conversations[index + 1]
+#                         time_str = context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')
 
-                        yield command_context.CommandReturn(
-                            text=f'已切换到后一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}'
-                        )
-                        return
-        else:
-            yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))
+#                         yield command_context.CommandReturn(
+#                             text=f'已切换到后一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}'
+#                         )
+#                         return
+#         else:
+#             yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))

pkg/command/operators/plugin.py

@@ -1,171 +0,0 @@
-from __future__ import annotations
-import typing
-import traceback
-
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
-
-
-@operator.operator_class(
-    name='plugin',
-    help='插件操作',
-    usage='!plugin\n!plugin get <插件仓库地址>\n!plugin update\n!plugin del <插件名>\n!plugin on <插件名>\n!plugin off <插件名>',
-)
-class PluginOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        plugin_list = self.ap.plugin_mgr.plugins()
-        reply_str = '所有插件({}):\n'.format(len(plugin_list))
-        idx = 0
-        for plugin in plugin_list:
-            reply_str += '\n#{} {} {}\n{}\nv{}\n作者: {}\n'.format(
-                (idx + 1),
-                plugin.plugin_name,
-                '[已禁用]' if not plugin.enabled else '',
-                plugin.plugin_description,
-                plugin.plugin_version,
-                plugin.plugin_author,
-            )
-
-            idx += 1
-
-        yield command_context.CommandReturn(text=reply_str)
-
-
-@operator.operator_class(name='get', help='安装插件', privilege=2, parent_class=PluginOperator)
-class PluginGetOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if len(context.crt_params) == 0:
-            yield command_context.CommandReturn(error=command_errors.ParamNotEnoughError('请提供插件仓库地址'))
-        else:
-            repo = context.crt_params[0]
-
-            yield command_context.CommandReturn(text='正在安装插件...')
-
-            try:
-                await self.ap.plugin_mgr.install_plugin(repo)
-                yield command_context.CommandReturn(text='插件安装成功，请重启程序以加载插件')
-            except Exception as e:
-                traceback.print_exc()
-                yield command_context.CommandReturn(error=command_errors.CommandError('插件安装失败: ' + str(e)))
-
-
-@operator.operator_class(name='update', help='更新插件', privilege=2, parent_class=PluginOperator)
-class PluginUpdateOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if len(context.crt_params) == 0:
-            yield command_context.CommandReturn(error=command_errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
-
-                if plugin_container is not None:
-                    yield command_context.CommandReturn(text='正在更新插件...')
-                    await self.ap.plugin_mgr.update_plugin(plugin_name)
-                    yield command_context.CommandReturn(text='插件更新成功，请重启程序以加载插件')
-                else:
-                    yield command_context.CommandReturn(error=command_errors.CommandError('插件更新失败: 未找到插件'))
-            except Exception as e:
-                traceback.print_exc()
-                yield command_context.CommandReturn(error=command_errors.CommandError('插件更新失败: ' + str(e)))
-
-
-@operator.operator_class(name='all', help='更新所有插件', privilege=2, parent_class=PluginUpdateOperator)
-class PluginUpdateAllOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        try:
-            plugins = [p.plugin_name for p in self.ap.plugin_mgr.plugins()]
-
-            if plugins:
-                yield command_context.CommandReturn(text='正在更新插件...')
-                updated = []
-                try:
-                    for plugin_name in plugins:
-                        await self.ap.plugin_mgr.update_plugin(plugin_name)
-                        updated.append(plugin_name)
-                except Exception as e:
-                    traceback.print_exc()
-                    yield command_context.CommandReturn(error=command_errors.CommandError('插件更新失败: ' + str(e)))
-                yield command_context.CommandReturn(text='已更新插件: {}'.format(', '.join(updated)))
-            else:
-                yield command_context.CommandReturn(text='没有可更新的插件')
-        except Exception as e:
-            traceback.print_exc()
-            yield command_context.CommandReturn(error=command_errors.CommandError('插件更新失败: ' + str(e)))
-
-
-@operator.operator_class(name='del', help='删除插件', privilege=2, parent_class=PluginOperator)
-class PluginDelOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if len(context.crt_params) == 0:
-            yield command_context.CommandReturn(error=command_errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
-
-                if plugin_container is not None:
-                    yield command_context.CommandReturn(text='正在删除插件...')
-                    await self.ap.plugin_mgr.uninstall_plugin(plugin_name)
-                    yield command_context.CommandReturn(text='插件删除成功，请重启程序以加载插件')
-                else:
-                    yield command_context.CommandReturn(error=command_errors.CommandError('插件删除失败: 未找到插件'))
-            except Exception as e:
-                traceback.print_exc()
-                yield command_context.CommandReturn(error=command_errors.CommandError('插件删除失败: ' + str(e)))
-
-
-@operator.operator_class(name='on', help='启用插件', privilege=2, parent_class=PluginOperator)
-class PluginEnableOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if len(context.crt_params) == 0:
-            yield command_context.CommandReturn(error=command_errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                if await self.ap.plugin_mgr.update_plugin_switch(plugin_name, True):
-                    yield command_context.CommandReturn(text='已启用插件: {}'.format(plugin_name))
-                else:
-                    yield command_context.CommandReturn(
-                        error=command_errors.CommandError('插件状态修改失败: 未找到插件 {}'.format(plugin_name))
-                    )
-            except Exception as e:
-                traceback.print_exc()
-                yield command_context.CommandReturn(error=command_errors.CommandError('插件状态修改失败: ' + str(e)))
-
-
-@operator.operator_class(name='off', help='禁用插件', privilege=2, parent_class=PluginOperator)
-class PluginDisableOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        if len(context.crt_params) == 0:
-            yield command_context.CommandReturn(error=command_errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                if await self.ap.plugin_mgr.update_plugin_switch(plugin_name, False):
-                    yield command_context.CommandReturn(text='已禁用插件: {}'.format(plugin_name))
-                else:
-                    yield command_context.CommandReturn(
-                        error=command_errors.CommandError('插件状态修改失败: 未找到插件 {}'.format(plugin_name))
-                    )
-            except Exception as e:
-                traceback.print_exc()
-                yield command_context.CommandReturn(error=command_errors.CommandError('插件状态修改失败: ' + str(e)))

pkg/command/operators/prompt.py

@@ -1,23 +1,23 @@
-from __future__ import annotations
+# from __future__ import annotations
 
-import typing
+# import typing
 
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
+# from .. import operator
+# from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 
 
-@operator.operator_class(name='prompt', help='查看当前对话的前文', usage='!prompt')
-class PromptOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        """执行"""
-        if context.session.using_conversation is None:
-            yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))
-        else:
-            reply_str = '当前对话所有内容:\n\n'
+# @operator.operator_class(name='prompt', help='查看当前对话的前文', usage='!prompt')
+# class PromptOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         """执行"""
+#         if context.session.using_conversation is None:
+#             yield command_context.CommandReturn(error=command_errors.CommandOperationError('当前没有对话'))
+#         else:
+#             reply_str = '当前对话所有内容:\n\n'
 
-            for msg in context.session.using_conversation.messages:
-                reply_str += f'{msg.role}: {msg.content}\n'
+#             for msg in context.session.using_conversation.messages:
+#                 reply_str += f'{msg.role}: {msg.content}\n'
 
-            yield command_context.CommandReturn(text=reply_str)
+#             yield command_context.CommandReturn(text=reply_str)

pkg/command/operators/resend.py

@@ -1,29 +1,29 @@
-from __future__ import annotations
+# from __future__ import annotations
 
-import typing
+# import typing
 
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
+# from .. import operator
+# from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 
 
-@operator.operator_class(name='resend', help='重发当前会话的最后一条消息', usage='!resend')
-class ResendOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        # 回滚到最后一条用户message前
-        if context.session.using_conversation is None:
-            yield command_context.CommandReturn(error=command_errors.CommandError('当前没有对话'))
-        else:
-            conv_msg = context.session.using_conversation.messages
+# @operator.operator_class(name='resend', help='重发当前会话的最后一条消息', usage='!resend')
+# class ResendOperator(operator.CommandOperator):
+#     async def execute(
+#         self, context: command_context.ExecuteContext
+#     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+#         # 回滚到最后一条用户message前
+#         if context.session.using_conversation is None:
+#             yield command_context.CommandReturn(error=command_errors.CommandError('当前没有对话'))
+#         else:
+#             conv_msg = context.session.using_conversation.messages
 
-            # 倒序一直删到最后一条用户message
-            while len(conv_msg) > 0 and conv_msg[-1].role != 'user':
-                conv_msg.pop()
+#             # 倒序一直删到最后一条用户message
+#             while len(conv_msg) > 0 and conv_msg[-1].role != 'user':
+#                 conv_msg.pop()
 
-            if len(conv_msg) > 0:
-                # 删除最后一条用户message
-                conv_msg.pop()
+#             if len(conv_msg) > 0:
+#                 # 删除最后一条用户message
+#                 conv_msg.pop()
 
-            # 不重发了，提示用户已删除就行了
-            yield command_context.CommandReturn(text='已删除最后一次请求记录')
+#             # 不重发了，提示用户已删除就行了
+#             yield command_context.CommandReturn(text='已删除最后一次请求记录')

pkg/command/operators/reset.py

@@ -1,17 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context
-
-
-@operator.operator_class(name='reset', help='重置当前会话', usage='!reset')
-class ResetOperator(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        """执行"""
-        context.session.using_conversation = None
-
-        yield command_context.CommandReturn(text='已重置当前会话')

pkg/command/operators/version.py

@@ -1,22 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator
-from langbot_plugin.api.entities.builtin.command import context as command_context
-
-
-@operator.operator_class(name='version', help='显示版本信息', usage='!version')
-class VersionCommand(operator.CommandOperator):
-    async def execute(
-        self, context: command_context.ExecuteContext
-    ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
-        reply_str = f'当前版本: \n{self.ap.ver_mgr.get_current_version()}'
-
-        try:
-            if await self.ap.ver_mgr.is_new_version_available():
-                reply_str += '\n\n有新版本可用。'
-        except Exception:
-            pass
-
-        yield command_context.CommandReturn(text=reply_str.strip())

pkg/core/bootutils/deps.py

@@ -40,6 +40,7 @@ required_deps = {
     'sqlmodel': 'sqlmodel',
     'telegramify_markdown': 'telegramify-markdown',
     'slack_sdk': 'slack_sdk',
+    'asyncpg': 'asyncpg',
 }
 
 

pkg/persistence/databases/postgresql.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+import sqlalchemy.ext.asyncio as sqlalchemy_asyncio
+
+from .. import database
+
+
+@database.manager_class('postgresql')
+class PostgreSQLDatabaseManager(database.BaseDatabaseManager):
+    """PostgreSQL database manager"""
+
+    async def initialize(self) -> None:
+        postgresql_config = self.ap.instance_config.data.get('database', {}).get('postgresql', {})
+
+        host = postgresql_config.get('host', '127.0.0.1')
+        port = postgresql_config.get('port', 5432)
+        user = postgresql_config.get('user', 'postgres')
+        password = postgresql_config.get('password', 'postgres')
+        database = postgresql_config.get('database', 'postgres')
+        engine_url = f'postgresql+asyncpg://{user}:{password}@{host}:{port}/{database}'
+        self.engine = sqlalchemy_asyncio.create_async_engine(engine_url)

pkg/persistence/databases/sqlite.py

@@ -10,5 +10,6 @@ class SQLiteDatabaseManager(database.BaseDatabaseManager):
     """SQLite database manager"""
 
     async def initialize(self) -> None:
-        sqlite_path = 'data/langbot.db'
-        self.engine = sqlalchemy_asyncio.create_async_engine(f'sqlite+aiosqlite:///{sqlite_path}')
+        db_file_path = self.ap.instance_config.data.get('database', {}).get('sqlite', {}).get('path', 'data/langbot.db')
+        engine_url = f'sqlite+aiosqlite:///{db_file_path}'
+        self.engine = sqlalchemy_asyncio.create_async_engine(engine_url)

pkg/persistence/mgr.py

@@ -36,11 +36,13 @@ class PersistenceManager:
         self.meta = base.Base.metadata
 
     async def initialize(self):
-        self.ap.logger.info('Initializing database...')
-
+        database_type = self.ap.instance_config.data.get('database', {}).get('use', 'sqlite')
+        self.ap.logger.info(f'Initializing database type: {database_type}...')
         for manager in database.preregistered_managers:
-            self.db = manager(self.ap)
-            await self.db.initialize()
+            if manager.name == database_type:
+                self.db = manager(self.ap)
+                await self.db.initialize()
+                break
 
         await self.create_tables()
 

pkg/persistence/migrations/dbm001_migrate_v3_config.py

@@ -212,6 +212,7 @@ class DBMigrateV3Config(migration.DBMigration):
         self.ap.instance_config.data['api']['port'] = self.ap.system_cfg.data['http-api']['port']
         self.ap.instance_config.data['command'] = {
             'prefix': self.ap.command_cfg.data['command-prefix'],
+            'enable': self.ap.command_cfg.data['command-enable'] if 'command-enable' in self.ap.command_cfg.data else True,
             'privilege': self.ap.command_cfg.data['privilege'],
         }
         self.ap.instance_config.data['concurrency']['pipeline'] = self.ap.system_cfg.data['pipeline-concurrency']

pkg/persistence/migrations/dbm006_langflow_api_config.py

@@ -0,0 +1,45 @@
+from .. import migration
+
+import sqlalchemy
+
+from ...entity.persistence import pipeline as persistence_pipeline
+
+
+@migration.migration_class(6)
+class DBMigrateLangflowApiConfig(migration.DBMigration):
+    """Langflow API config"""
+
+    async def upgrade(self):
+        """Upgrade"""
+        # read all pipelines
+        pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
+
+        for pipeline in pipelines:
+            serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
+
+            config = serialized_pipeline['config']
+
+            if 'langflow-api' not in config['ai']:
+                config['ai']['langflow-api'] = {
+                    'base-url': 'http://localhost:7860',
+                    'api-key': 'your-api-key',
+                    'flow-id': 'your-flow-id',
+                    'input-type': 'chat',
+                    'output-type': 'chat',
+                    'tweaks': '{}',
+                }
+
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.update(persistence_pipeline.LegacyPipeline)
+                .where(persistence_pipeline.LegacyPipeline.uuid == serialized_pipeline['uuid'])
+                .values(
+                    {
+                        'config': config,
+                        'for_version': self.ap.ver_mgr.get_current_version(),
+                    }
+                )
+            )
+
+    async def downgrade(self):
+        """Downgrade"""
+        pass

pkg/persistence/migrations/dbm007_plugin_install_source.py

@@ -2,16 +2,28 @@ import sqlalchemy
 from .. import migration
 
 
-@migration.migration_class(6)
+@migration.migration_class(7)
 class DBMigratePluginInstallSource(migration.DBMigration):
     """插件安装来源"""
 
     async def upgrade(self):
         """升级"""
         # 查询表结构获取所有列名（异步执行 SQL）
-        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text('PRAGMA table_info(plugin_settings);'))
-        # fetchall() 是同步方法，无需 await
-        columns = [row[1] for row in result.fetchall()]
+
+        columns = []
+
+        if self.ap.persistence_mgr.db.name == 'postgresql':
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text(
+                    "SELECT column_name FROM information_schema.columns WHERE table_name = 'plugin_settings';"
+                )
+            )
+            all_result = result.fetchall()
+            columns = [row[0] for row in all_result]
+        else:
+            result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text('PRAGMA table_info(plugin_settings);'))
+            all_result = result.fetchall()
+            columns = [row[1] for row in all_result]
 
         # 检查并添加 install_source 列
         if 'install_source' not in columns:

pkg/persistence/migrations/dbm008_plugin_config.py

@@ -1,7 +1,7 @@
 from .. import migration
 
 
-@migration.migration_class(4)
+@migration.migration_class(8)
 class DBMigratePluginConfig(migration.DBMigration):
     """插件配置"""
 
@@ -10,7 +10,9 @@ class DBMigratePluginConfig(migration.DBMigration):
 
         if 'plugin' not in self.ap.instance_config.data:
             self.ap.instance_config.data['plugin'] = {
-                'runtime_ws_url': 'ws://localhost:5400/control/ws',
+                'runtime_ws_url': 'ws://langbot_plugin_runtime:5400/control/ws',
+                'enable_marketplace': True,
+                'cloud_service_url': 'https://space.langbot.app',
             }
 
             await self.ap.instance_config.dump_config()

pkg/pipeline/bansess/bansess.py

@@ -30,6 +30,10 @@ class BanSessionCheckStage(stage.PipelineStage):
                 if sess == f'{query.launcher_type.value}_{query.launcher_id}':
                     found = True
                     break
+                # 使用 *_id 来表示加白/拉黑某用户的私聊和群聊场景
+                if sess.startswith('*_') and (sess[2:] == query.launcher_id or sess[2:] == query.sender_id):
+                    found = True
+                    break
 
         ctn = False
 

pkg/pipeline/longtext/longtext.py

@@ -21,10 +21,15 @@ class LongTextProcessStage(stage.PipelineStage):
         - resp_message_chain
     """
 
-    strategy_impl: strategy.LongTextStrategy
+    strategy_impl: strategy.LongTextStrategy | None
 
     async def initialize(self, pipeline_config: dict):
         config = pipeline_config['output']['long-text-processing']
+
+        if config['strategy'] == 'none':
+            self.strategy_impl = None
+            return
+
         if config['strategy'] == 'image':
             use_font = config['font-path']
             try:
@@ -67,6 +72,10 @@ class LongTextProcessStage(stage.PipelineStage):
         await self.strategy_impl.initialize()
 
     async def process(self, query: pipeline_query.Query, stage_inst_name: str) -> entities.StageProcessResult:
+        if self.strategy_impl is None:
+            self.ap.logger.debug('Long message processing strategy is not set, skip long message processing.')
+            return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
+
         # 检查是否包含非 Plain 组件
         contains_non_plain = False
 

pkg/pipeline/longtext/strategies/forward.py

@@ -26,7 +26,7 @@ class ForwardComponentStrategy(strategy_model.LongTextStrategy):
             platform_message.ForwardMessageNode(
                 sender_id=query.adapter.bot_account_id,
                 sender_name='User',
-                message_chain=platform_message.MessageChain([message]),
+                message_chain=platform_message.MessageChain([platform_message.Plain(text=message)]),
             )
         ]
 

pkg/pipeline/pipelinemgr.py

@@ -96,7 +96,7 @@ class RuntimePipeline:
             if query.pipeline_config['output']['misc']['at-sender'] and isinstance(
                 query.message_event, platform_events.GroupMessage
             ):
-                result.user_notice.insert(0, platform_message.At(query.message_event.sender.id))
+                result.user_notice.insert(0, platform_message.At(target=query.message_event.sender.id))
             if await query.adapter.is_stream_output_supported():
                 await query.adapter.reply_message_chunk(
                     message_source=query.message_event,

pkg/pipeline/preproc/preproc.py

@@ -54,10 +54,9 @@ class PreProcessor(stage.PipelineStage):
         query.prompt = conversation.prompt.copy()
         query.messages = conversation.messages.copy()
 
-        query.use_llm_model_uuid = llm_model.model_entity.uuid
-
         if selected_runner == 'local-agent':
             query.use_funcs = []
+            query.use_llm_model_uuid = llm_model.model_entity.uuid
 
             if llm_model.model_entity.abilities.__contains__('func_call'):
                 query.use_funcs = await self.ap.tool_mgr.get_all_tools()
@@ -93,6 +92,9 @@ class PreProcessor(stage.PipelineStage):
                 if selected_runner != 'local-agent' or llm_model.model_entity.abilities.__contains__('vision'):
                     if me.base64 is not None:
                         content_list.append(provider_message.ContentElement.from_image_base64(me.base64))
+            elif isinstance(me, platform_message.File):
+                # if me.url is not None:
+                content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
             elif isinstance(me, platform_message.Quote) and qoute_msg:
                 for msg in me.origin:
                     if isinstance(msg, platform_message.Plain):

pkg/pipeline/process/handlers/chat.py

@@ -9,7 +9,6 @@ from .. import handler
 from ... import entities
 from ....provider import runner as runner_module
 
-import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import langbot_plugin.api.entities.events as events
 from ....utils import importutil
 from ....provider import runners
@@ -46,18 +45,20 @@ class ChatMessageHandler(handler.MessageHandler):
 
         event_ctx = await self.ap.plugin_connector.emit_event(event)
 
+        is_create_card = False  # 判断下是否需要创建流式卡片
+
         if event_ctx.is_prevented_default():
-            if event_ctx.event.reply is not None:
-                mc = platform_message.MessageChain(event_ctx.event.reply)
+            if event_ctx.event.reply_message_chain is not None:
+                mc = event_ctx.event.reply_message_chain
                 query.resp_messages.append(mc)
 
                 yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
             else:
                 yield entities.StageProcessResult(result_type=entities.ResultType.INTERRUPT, new_query=query)
         else:
-            if event_ctx.event.alter is not None:
+            if event_ctx.event.user_message_alter is not None:
                 # if isinstance(event_ctx.event, str):  # 现在暂时不考虑多模态alter
-                query.user_message.content = event_ctx.event.alter
+                query.user_message.content = event_ctx.event.user_message_alter
 
             text_length = 0
             try:
@@ -74,14 +75,17 @@ class ChatMessageHandler(handler.MessageHandler):
                     raise ValueError(f'未找到请求运行器: {query.pipeline_config["ai"]["runner"]["runner"]}')
                 if is_stream:
                     resp_message_id = uuid.uuid4()
-                    await query.adapter.create_message_card(str(resp_message_id), query.message_event)
+
                     async for result in runner.run(query):
                         result.resp_message_id = str(resp_message_id)
                         if query.resp_messages:
                             query.resp_messages.pop()
                         if query.resp_message_chain:
                             query.resp_message_chain.pop()
-
+                        # 此时连接外部 AI 服务正常,创建卡片
+                        if not is_create_card:  # 只有不是第一次才创建卡片
+                            await query.adapter.create_message_card(str(resp_message_id), query.message_event)
+                            is_create_card = True
                         query.resp_messages.append(result)
                         self.ap.logger.info(f'对话({query.query_id})流式响应: {self.cut_str(result.readable_str())}')
 

pkg/pipeline/process/handlers/command.py

@@ -5,7 +5,6 @@ import typing
 from .. import handler
 from ... import entities
 import langbot_plugin.api.entities.builtin.provider.message as provider_message
-import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import langbot_plugin.api.entities.builtin.provider.session as provider_session
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
 import langbot_plugin.api.entities.events as events
@@ -18,7 +17,9 @@ class CommandHandler(handler.MessageHandler):
     ) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
         """Process"""
 
-        command_text = str(query.message_chain).strip()[1:]
+        full_command_text = str(query.message_chain).strip()
+
+        command_text = full_command_text[1:]
 
         privilege = 1
 
@@ -39,7 +40,7 @@ class CommandHandler(handler.MessageHandler):
             sender_id=query.sender_id,
             command=spt[0],
             params=spt[1:] if len(spt) > 1 else [],
-            text_message=str(query.message_chain),
+            text_message=full_command_text,
             is_admin=(privilege == 2),
             query=query,
         )
@@ -47,8 +48,8 @@ class CommandHandler(handler.MessageHandler):
         event_ctx = await self.ap.plugin_connector.emit_event(event)
 
         if event_ctx.is_prevented_default():
-            if event_ctx.event.reply is not None:
-                mc = platform_message.MessageChain(event_ctx.event.reply)
+            if event_ctx.event.reply_message_chain is not None:
+                mc = event_ctx.event.reply_message_chain
 
                 query.resp_messages.append(mc)
 
@@ -57,12 +58,11 @@ class CommandHandler(handler.MessageHandler):
                 yield entities.StageProcessResult(result_type=entities.ResultType.INTERRUPT, new_query=query)
 
         else:
-            if event_ctx.event.alter is not None:
-                query.message_chain = platform_message.MessageChain([platform_message.Plain(event_ctx.event.alter)])
-
             session = await self.ap.sess_mgr.get_session(query)
 
-            async for ret in self.ap.cmd_mgr.execute(command_text=command_text, query=query, session=session):
+            async for ret in self.ap.cmd_mgr.execute(
+                command_text=command_text, full_command_text=full_command_text, query=query, session=session
+            ):
                 if ret.error is not None:
                     query.resp_messages.append(
                         provider_message.Message(
@@ -74,7 +74,12 @@ class CommandHandler(handler.MessageHandler):
                     self.ap.logger.info(f'Command({query.query_id}) error: {self.cut_str(str(ret.error))}')
 
                     yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
-                elif ret.text is not None or ret.image_url is not None:
+                elif (
+                    ret.text is not None
+                    or ret.image_url is not None
+                    or ret.image_base64 is not None
+                    or ret.file_url is not None
+                ):
                     content: list[provider_message.ContentElement] = []
 
                     if ret.text is not None:
@@ -83,6 +88,12 @@ class CommandHandler(handler.MessageHandler):
                     if ret.image_url is not None:
                         content.append(provider_message.ContentElement.from_image_url(ret.image_url))
 
+                    if ret.image_base64 is not None:
+                        content.append(provider_message.ContentElement.from_image_base64(ret.image_base64))
+
+                    if ret.file_url is not None:
+                        # 此时为 file 类型
+                        content.append(provider_message.ContentElement.from_file_url(ret.file_url, ret.file_name))
                     query.resp_messages.append(
                         provider_message.Message(
                             role='command',

pkg/pipeline/process/process.py

@@ -42,12 +42,14 @@ class Processor(stage.PipelineStage):
 
         async def generator():
             cmd_prefix = self.ap.instance_config.data['command']['prefix']
+            cmd_enable = self.ap.instance_config.data['command'].get('enable', True)
 
-            if any(message_text.startswith(prefix) for prefix in cmd_prefix):
-                async for result in self.cmd_handler.handle(query):
-                    yield result
+            if cmd_enable and any(message_text.startswith(prefix) for prefix in cmd_prefix):
+                handler_to_use = self.cmd_handler
             else:
-                async for result in self.chat_handler.handle(query):
-                    yield result
+                handler_to_use = self.chat_handler
+
+            async for result in handler_to_use.handle(query):
+                yield result
 
         return generator()

pkg/pipeline/respback/respback.py

@@ -33,7 +33,7 @@ class SendResponseBackStage(stage.PipelineStage):
         if query.pipeline_config['output']['misc']['at-sender'] and isinstance(
             query.message_event, platform_events.GroupMessage
         ):
-            query.resp_message_chain[-1].insert(0, platform_message.At(query.message_event.sender.id))
+            query.resp_message_chain[-1].insert(0, platform_message.At(target=query.message_event.sender.id))
 
         quote_origin = query.pipeline_config['output']['misc']['quote-origin']
 

pkg/pipeline/resprule/rules/atbot.py

@@ -16,26 +16,17 @@ class AtBotRule(rule_model.GroupRespondRule):
         rule_dict: dict,
         query: pipeline_query.Query,
     ) -> entities.RuleJudgeResult:
+        found = False
+
         def remove_at(message_chain: platform_message.MessageChain):
+            nonlocal found
             for component in message_chain.root:
-                if isinstance(component, platform_message.At) and component.target == query.adapter.bot_account_id:
+                if isinstance(component, platform_message.At) and str(component.target) == str(query.adapter.bot_account_id):
                     message_chain.remove(component)
+                    found = True
                     break
 
         remove_at(message_chain)
         remove_at(message_chain)  # 回复消息时会at两次，检查并删除重复的
 
-        # if message_chain.has(platform_message.At(query.adapter.bot_account_id)) and rule_dict['at']:
-        #     message_chain.remove(platform_message.At(query.adapter.bot_account_id))
-
-        #     if message_chain.has(
-        #         platform_message.At(query.adapter.bot_account_id)
-        #     ):  # 回复消息时会at两次，检查并删除重复的
-        #         message_chain.remove(platform_message.At(query.adapter.bot_account_id))
-
-        #     return entities.RuleJudgeResult(
-        #         matching=True,
-        #         replacement=message_chain,
-        #     )
-
-        return entities.RuleJudgeResult(matching=False, replacement=message_chain)
+        return entities.RuleJudgeResult(matching=found, replacement=message_chain)

pkg/pipeline/wrapper/wrapper.py

@@ -80,8 +80,8 @@ class ResponseWrapper(stage.PipelineStage):
                                 new_query=query,
                             )
                         else:
-                            if event_ctx.event.reply is not None:
-                                query.resp_message_chain.append(platform_message.MessageChain(event_ctx.event.reply))
+                            if event_ctx.event.reply_message_chain is not None:
+                                query.resp_message_chain.append(event_ctx.event.reply_message_chain)
 
                             else:
                                 query.resp_message_chain.append(result.get_content_platform_message_chain())
@@ -123,10 +123,8 @@ class ResponseWrapper(stage.PipelineStage):
                                     new_query=query,
                                 )
                             else:
-                                if event_ctx.event.reply is not None:
-                                    query.resp_message_chain.append(
-                                        platform_message.MessageChain(text=event_ctx.event.reply)
-                                    )
+                                if event_ctx.event.reply_message_chain is not None:
+                                    query.resp_message_chain.append(event_ctx.event.reply_message_chain)
 
                                 else:
                                     query.resp_message_chain.append(

pkg/platform/sources/dingtalk.py

@@ -20,6 +20,9 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
                 at = True
             if type(msg) is platform_message.Plain:
                 content += msg.text
+            if type(msg) is platform_message.Forward:
+                for node in msg.node_list:
+                    content += (await DingTalkMessageConverter.yiri2target(node.message_chain))[0]
         return content, at
 
     @staticmethod
@@ -38,6 +41,8 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
             yiri_msg_list.append(platform_message.Plain(text=text_content))
         if event.picture:
             yiri_msg_list.append(platform_message.Image(base64=event.picture))
+        if event.file:
+            yiri_msg_list.append(platform_message.File(url=event.file, name=event.name))
         if event.audio:
             yiri_msg_list.append(platform_message.Voice(base64=event.audio))
 
@@ -58,7 +63,7 @@ class DingTalkEventConverter(abstract_platform_adapter.AbstractEventConverter):
         if event.conversation == 'FriendMessage':
             return platform_events.FriendMessage(
                 sender=platform_entities.Friend(
-                    id=event.incoming_message.sender_id,
+                    id=event.incoming_message.sender_staff_id,
                     nickname=event.incoming_message.sender_nick,
                     remark='',
                 ),
@@ -68,7 +73,7 @@ class DingTalkEventConverter(abstract_platform_adapter.AbstractEventConverter):
             )
         elif event.conversation == 'GroupMessage':
             sender = platform_entities.GroupMember(
-                id=event.incoming_message.sender_id,
+                id=event.incoming_message.sender_staff_id,
                 member_name=event.incoming_message.sender_nick,
                 permission='MEMBER',
                 group=platform_entities.Group(
@@ -99,13 +104,9 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     card_instance_id_dict: (
         dict  # 回复卡片消息字典，key为消息id，value为回复卡片实例id，用于在流式消息时判断是否发送到指定卡片
     )
-    seq: int  # 消息顺序，直接以seq作为标识
 
     def __init__(self, config: dict, logger: EventLogger):
-        self.config = config
-        self.logger = logger
-        self.card_instance_id_dict = {}
-        # self.seq = 1
+
         required_keys = [
             'client_id',
             'client_secret',
@@ -115,16 +116,23 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         missing_keys = [key for key in required_keys if key not in config]
         if missing_keys:
             raise Exception('钉钉缺少相关配置项，请查看文档或联系管理员')
+        bot = DingTalkClient(
+                client_id=config['client_id'],
+                client_secret=config['client_secret'],
+                robot_name=config['robot_name'],
+                robot_code=config['robot_code'],
+                markdown_card=config['markdown_card'],
+                logger=logger,
+            )
+        bot_account_id = config['robot_name']
+        super().__init__(
+            config=config,
+            logger=logger,
+            card_instance_id_dict={},
+            bot_account_id=bot_account_id,
+            bot=bot,
+            listeners={},
 
-        self.bot_account_id = self.config['robot_name']
-
-        self.bot = DingTalkClient(
-            client_id=config['client_id'],
-            client_secret=config['client_secret'],
-            robot_name=config['robot_name'],
-            robot_code=config['robot_code'],
-            markdown_card=config['markdown_card'],
-            logger=self.logger,
         )
 
     async def reply_message(
@@ -162,8 +170,11 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             content, at = await DingTalkMessageConverter.yiri2target(message)
 
             card_instance, card_instance_id = self.card_instance_id_dict[message_id]
+            if not content and bot_message.content:
+                content = bot_message.content  # 兼容直接传入content的情况
             # print(card_instance_id)
-            await self.bot.send_card_message(card_instance, card_instance_id, content, is_final)
+            if content:
+                await self.bot.send_card_message(card_instance, card_instance_id, content, is_final)
             if is_final and bot_message.tool_calls is None:
                 # self.seq = 1  # 消息回复结束之后重置seq
                 self.card_instance_id_dict.pop(message_id)  # 消息回复结束之后删除卡片实例id
@@ -216,6 +227,9 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     async def kill(self) -> bool:
         return False
 
+    async def is_muted(self) -> bool:
+        return False
+
     async def unregister_listener(
         self,
         event_type: type,

pkg/platform/sources/lark.py

@@ -620,15 +620,13 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                     f'client.cardkit.v1.card.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
                 )
 
-            self.ap.logger.debug(f'飞书卡片创建成功,卡片ID: {response.data.card_id}')
             self.card_id_dict[message_id] = response.data.card_id
 
             card_id = response.data.card_id
             return card_id
 
         except Exception as e:
-            self.ap.logger.error(f'飞书卡片创建失败,错误信息: {e}')
-
+            raise e
     async def create_message_card(self, message_id, event) -> str:
         """
         创建卡片消息。

pkg/platform/sources/line.py

@@ -0,0 +1,286 @@
+import typing
+import quart
+
+
+import traceback
+import typing
+import asyncio
+import re
+import base64
+import uuid
+import json
+import datetime
+import hashlib
+from Crypto.Cipher import AES
+
+
+from ...core import app
+import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
+from ..logger import EventLogger
+
+
+
+from linebot.v3 import (
+    WebhookHandler
+)
+from linebot.v3.exceptions import (
+    InvalidSignatureError
+)
+from linebot.v3.messaging import (
+    Configuration,
+    ApiClient,
+    MessagingApi,
+    ReplyMessageRequest,
+    TextMessage,
+    ImageMessage
+)
+from linebot.v3.webhooks import (
+    MessageEvent,
+    TextMessageContent,
+    ImageMessageContent,
+    VideoMessageContent,
+    AudioMessageContent,
+    FileMessageContent,
+    LocationMessageContent,
+    StickerMessageContent
+)
+
+# from linebot import WebhookParser
+from linebot.v3.webhook import WebhookParser
+from linebot.v3.messaging import MessagingApiBlob
+
+
+
+class LINEMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
+    @staticmethod
+    async def yiri2target(
+        message_chain: platform_message.MessageChain, api_client: ApiClient
+    ) -> typing.Tuple[list]:
+        content_list = []
+        for component in message_chain:
+            if isinstance(component, platform_message.At):
+                content_list.append({'type': 'at', 'target': component.target})
+            elif isinstance(component, platform_message.Plain):
+                content_list.append({'type': 'text', 'content': component.text})
+            elif isinstance(component, platform_message.Image):
+                if not component.url:
+                    pass
+                content_list.append({'type': 'image', 'image': component.url})
+
+            elif isinstance(component, platform_message.Voice):
+                content_list.append({'type': 'voice', 'url': component.url, 'length': component.length})
+            
+
+        return content_list
+
+    @staticmethod
+    async def target2yiri(
+        message,
+        bot_client
+    ) -> platform_message.MessageChain:
+        lb_msg_list = []
+        msg_create_time = datetime.datetime.fromtimestamp(int(message.timestamp) / 1000)
+
+        lb_msg_list.append(platform_message.Source(id=message.webhook_event_id, time=msg_create_time))
+
+        if isinstance(message.message, TextMessageContent):
+            lb_msg_list.append(platform_message.Plain(text=message.message.text))
+        elif isinstance(message.message, AudioMessageContent):
+            pass
+        elif isinstance(message.message, VideoMessageContent):
+            pass
+        elif isinstance(message.message, ImageMessageContent):
+            message_content = MessagingApiBlob(bot_client).get_message_content(message.message.id)
+
+            base64_string = base64.b64encode(message_content).decode('utf-8')
+
+            # 如果需要Data URI格式（用于直接嵌入HTML等）
+            # 首先需要知道图片类型，LINE图片通常是JPEG
+            data_uri = f"data:image/jpeg;base64,{base64_string}"
+            lb_msg_list.append(platform_message.Image(base64 = data_uri))
+        return platform_message.MessageChain(lb_msg_list)
+
+
+class LINEEventConverter(abstract_platform_adapter.AbstractEventConverter):
+    @staticmethod
+    async def yiri2target(
+        event: platform_events.MessageEvent,
+    ) -> MessageEvent:
+        pass
+
+    @staticmethod
+    async def target2yiri(
+        event,
+        bot_client
+    ) -> platform_events.Event:
+        message_chain = await LINEMessageConverter.target2yiri(event, bot_client)
+
+        if event.source.type== 'user':
+            return platform_events.FriendMessage(
+                sender=platform_entities.Friend(
+                    id=event.message.id,
+                    nickname=event.source.user_id,
+                    remark='',
+                ),
+                message_chain=message_chain,
+                time=event.timestamp,
+                source_platform_object=event,
+            )
+        else:
+            return platform_events.GroupMessage(
+                sender=platform_entities.GroupMember(
+                    id=event.event.sender.sender_id.open_id,
+                    member_name=event.event.sender.sender_id.union_id,
+                    permission=platform_entities.Permission.Member,
+                    group=platform_entities.Group(
+                        id=event.message.id,
+                        name='',
+                        permission=platform_entities.Permission.Member,
+                    ),
+                    special_title='',
+                    join_timestamp=0,
+                    last_speak_timestamp=0,
+                    mute_time_remaining=0,
+                ),
+                message_chain=message_chain,
+                time=event.timestamp,
+                source_platform_object=event,
+            )
+
+class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
+    bot: MessagingApi
+    api_client: ApiClient
+
+    bot_account_id: str  # 用于在流水线中识别at是否是本bot，直接以bot_name作为标识
+    message_converter: LINEMessageConverter
+    event_converter: LINEEventConverter
+
+    listeners: typing.Dict[
+        typing.Type[platform_events.Event],
+        typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ]
+
+    config: dict
+    quart_app: quart.Quart
+
+
+    card_id_dict: dict[str, str]  # 消息id到卡片id的映射，便于创建卡片后的发送消息到指定卡片
+
+    seq: int  # 用于在发送卡片消息中识别消息顺序，直接以seq作为标识
+
+    def __init__(self, config: dict, logger: EventLogger):
+        configuration = Configuration(access_token=config['channel_access_token'])
+        line_webhook = WebhookHandler(config['channel_secret'])
+        parser = WebhookParser(config['channel_secret'])
+        api_client = ApiClient(configuration)
+
+        bot_account_id = config.get('bot_account_id', 'langbot')
+
+
+        super().__init__(
+            config = config,
+            logger = logger,
+            quart_app = quart.Quart(__name__),
+            listeners = {},
+            card_id_dict = {},
+            seq = 1,
+            event_converter = LINEEventConverter(),
+            message_converter = LINEMessageConverter(),
+            line_webhook = line_webhook,
+            parser = parser,
+            configuration=configuration,
+            api_client = api_client,
+            bot = MessagingApi(api_client),
+            bot_account_id = bot_account_id,
+        )
+
+        @self.quart_app.route('/line/callback', methods=['POST'])
+        async def line_callback():
+            try:
+                signature = quart.request.headers.get('X-Line-Signature')
+                body = await quart.request.get_data(as_text=True)
+                events = parser.parse(body, signature)  # 解密解析消息
+
+                try:
+
+                    # print(events)
+                    lb_event = await self.event_converter.target2yiri(events[0], self.api_client)
+                    if lb_event.__class__ in self.listeners:
+                        await self.listeners[lb_event.__class__](lb_event, self)
+                except InvalidSignatureError:
+                    self.logger.info(f"Invalid signature. Please check your channel access token/channel secret.{traceback.format_exc()}")
+                    return quart.Response('Invalid signature', status=400)
+
+
+                return {'code': 200, 'message': 'ok'}
+            except Exception:
+                await self.logger.error(f'Error in LINE callback: {traceback.format_exc()}')
+                return {'code': 500, 'message': 'error'}
+        
+        
+
+
+    
+
+    async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
+        
+        pass
+
+    async def reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+    ):
+        content_list = await self.message_converter.yiri2target(message, self.api_client)
+
+        for content in content_list:
+            if content['type'] == 'text':
+                self.bot.reply_message_with_http_info(
+                    ReplyMessageRequest(
+                        reply_token=message_source.source_platform_object.reply_token,
+                        messages=[TextMessage(text=content['content'])]
+                    )
+                )
+            elif content['type'] == 'image':
+                 self.bot.reply_message_with_http_info(
+                    ReplyMessageRequest(
+                        reply_token=message_source.source_platform_object.reply_token,
+                        messages=[ImageMessage(text=content['content'])]
+                    )
+                )
+
+    async def is_muted(self, group_id: int) -> bool:
+        return False
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ):
+        self.listeners[event_type] = callback
+
+    def unregister_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ):
+        self.listeners.pop(event_type)
+
+    async def run_async(self):
+        port = self.config['port']
+
+        async def shutdown_trigger_placeholder():
+            while True:
+                await asyncio.sleep(1)
+        await self.quart_app.run_task(
+            host='0.0.0.0',
+            port=port,
+            shutdown_trigger=shutdown_trigger_placeholder,
+        )
+
+    async def kill(self) -> bool:
+        pass

pkg/platform/sources/line.yaml

@@ -0,0 +1,54 @@
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: LINE
+  label:
+    en_US: LINE
+    zh_Hans: LINE
+  description:
+    en_US: LINE Adapter
+    zh_Hans: LINE适配器，请查看文档了解使用方式
+    ja_JP: LINEアダプター、ドキュメントを参照してください
+    zh_Hant: LINE適配器，請查看文檔了解使用方式
+  icon: line.png
+spec:
+  config:
+    - name: channel_access_token
+      label:
+        en_US: Channel access token
+        zh_Hans: 频道访问令牌
+        ja_JP: チャンネルアクセストークン
+        zh_Hant: 頻道訪問令牌
+      type: string
+      required: true
+      default: ""
+    - name: port
+      label:
+        en_US: Webhook Port
+        zh_Hans: Webhook端口
+      description:
+        en_US: Only valid when webhook mode is enabled, please fill in the webhook port
+        zh_Hans: 请填写 Webhook 端口
+        ja_JP: Webhookポートを入力してください
+        zh_Hant: 請填寫 Webhook 端口
+      type: integer
+      required: true
+      default: 2287
+    - name: channel_secret
+      label:
+        en_US: Channel secret
+        zh_Hans: 消息密钥
+        ja_JP: チャンネルシークレット
+        zh_Hant: 消息密钥
+      description:
+        en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
+        zh_Hans: 请填写加密密钥
+        ja_JP: Webhookモードが有効な場合にのみ、暗号化キーを入力してください
+        zh_Hant: 請填寫加密密钥
+      type: string
+      required: true
+      default: ""
+execution:
+  python:
+    path: ./line.py
+    attr: LINEAdapter

pkg/platform/sources/officialaccount.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 import typing
 import asyncio
 import traceback
-
+import pydantic
 import datetime
 import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
 from libs.official_account_api.oaevent import OAEvent
@@ -56,47 +56,51 @@ class OAEventConverter(abstract_platform_adapter.AbstractEventConverter):
 
 
 class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
-    bot: OAClient | OAClientForLongerResponse
-    bot_account_id: str
     message_converter: OAMessageConverter = OAMessageConverter()
     event_converter: OAEventConverter = OAEventConverter()
-    config: dict
+    bot: typing.Union[OAClient, OAClientForLongerResponse] = pydantic.Field(exclude=True)
 
     def __init__(self, config: dict, logger: EventLogger):
-        self.config = config
-        self.logger = logger
-
-        required_keys = [
-            'token',
-            'EncodingAESKey',
-            'AppSecret',
-            'AppID',
-            'Mode',
-        ]
-        missing_keys = [key for key in required_keys if key not in config]
+        required_keys = ['token', 'EncodingAESKey', 'AppSecret', 'AppID', 'Mode']
+        missing_keys = [k for k in required_keys if k not in config]
         if missing_keys:
-            raise command_errors.ParamNotEnoughError('微信公众号缺少相关配置项，请查看文档或联系管理员')
+            raise Exception(f'OfficialAccount 缺少配置项: {missing_keys}')
 
-        if self.config['Mode'] == 'drop':
-            self.bot = OAClient(
+        
+        if config['Mode'] == 'drop':
+            bot = OAClient(
                 token=config['token'],
                 EncodingAESKey=config['EncodingAESKey'],
                 Appsecret=config['AppSecret'],
                 AppID=config['AppID'],
-                logger=self.logger,
+                logger=logger,
             )
-        elif self.config['Mode'] == 'passive':
-            self.bot = OAClientForLongerResponse(
+        elif config['Mode'] == 'passive':
+            bot = OAClientForLongerResponse(
                 token=config['token'],
                 EncodingAESKey=config['EncodingAESKey'],
                 Appsecret=config['AppSecret'],
                 AppID=config['AppID'],
-                LoadingMessage=config['LoadingMessage'],
-                logger=self.logger,
+                LoadingMessage=config.get('LoadingMessage', ''),
+                logger=logger,
             )
         else:
             raise KeyError('请设置微信公众号通信模式')
 
+        bot_account_id = config.get('AppID', '')
+
+        
+        super().__init__(
+            bot=bot,
+            bot_account_id=bot_account_id,
+            config=config,
+            logger=logger,
+        )
+
+
+
+
+
     async def reply_message(
         self,
         message_source: platform_events.FriendMessage,
@@ -154,3 +158,6 @@ class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAd
         ],
     ):
         return super().unregister_listener(event_type, callback)
+
+    async def is_muted(self, group_id: str, ) -> bool:
+        pass

pkg/platform/sources/qqofficial.py

@@ -139,19 +139,15 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
     event_converter: QQOfficialEventConverter = QQOfficialEventConverter()
 
     def __init__(self, config: dict, logger: EventLogger):
-        self.config = config
-        self.logger = logger
+        bot = QQOfficialClient(
+            app_id=config['appid'], secret=config['secret'], token=config['token'], logger=logger
+        )
 
-        required_keys = [
-            'appid',
-            'secret',
-        ]
-        missing_keys = [key for key in required_keys if key not in config]
-        if missing_keys:
-            raise command_errors.ParamNotEnoughError('QQ官方机器人缺少相关配置项，请查看文档或联系管理员')
-
-        self.bot = QQOfficialClient(
-            app_id=config['appid'], secret=config['secret'], token=config['token'], logger=self.logger
+        super().__init__(
+            config=config,
+            logger=logger,
+            bot=bot,
+            bot_account_id=config['appid'],
         )
 
     async def reply_message(

pkg/platform/sources/telegram.py

@@ -102,7 +102,7 @@ class TelegramEventConverter(abstract_platform_adapter.AbstractEventConverter):
                 sender=platform_entities.Friend(
                     id=event.effective_chat.id,
                     nickname=event.effective_chat.first_name,
-                    remark=event.effective_chat.id,
+                    remark=str(event.effective_chat.id),
                 ),
                 message_chain=lb_message,
                 time=event.message.date.timestamp(),

pkg/platform/sources/wechatpad.py

@@ -30,10 +30,16 @@ import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_
 
 class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
     def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
+        self.bot = WeChatPadClient(config['wechatpad_url'], config['token'])
         self.config = config
-        self.bot = WeChatPadClient(self.config['wechatpad_url'], self.config['token'])
         self.logger = logger
 
+        # super().__init__(
+        #     config = config,
+        #     bot = bot,
+        #     logger = logger,
+        # )
+
     @staticmethod
     async def yiri2target(message_chain: platform_message.MessageChain) -> list[dict]:
         content_list = []
@@ -450,8 +456,13 @@ class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConvert
 class WeChatPadEventConverter(abstract_platform_adapter.AbstractEventConverter):
     def __init__(self, config: dict, logger: logging.Logger):
         self.config = config
-        self.message_converter = WeChatPadMessageConverter(config, logger)
         self.logger = logger
+        self.message_converter = WeChatPadMessageConverter(self.config, self.logger)
+        # super().__init__(
+        #     config=config,
+        #     message_converter=message_converter,
+        #     logger = logger,
+        # )
 
     @staticmethod
     async def yiri2target(event: platform_events.MessageEvent) -> dict:
@@ -532,12 +543,24 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
     ] = {}
 
     def __init__(self, config: dict, logger: EventLogger):
-        self.config = config
-        self.logger = logger
-        self.quart_app = quart.Quart(__name__)
 
-        self.message_converter = WeChatPadMessageConverter(config, logger)
-        self.event_converter = WeChatPadEventConverter(config, logger)
+        quart_app = quart.Quart(__name__)
+
+        message_converter = WeChatPadMessageConverter(config, logger)
+        event_converter = WeChatPadEventConverter(config, logger)
+        bot = WeChatPadClient(config['wechatpad_url'], config['token'])
+        super().__init__(
+            config=config,
+            logger = logger,
+            quart_app = quart_app,
+            message_converter =message_converter,
+            event_converter = event_converter,
+            listeners={},
+            bot_account_id ='',
+            name="WeChatPad",
+            bot=bot,
+
+        )
 
     async def ws_message(self, data):
         """处理接收到的消息"""

pkg/platform/sources/wecom.py

@@ -134,9 +134,7 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     config: dict
 
     def __init__(self, config: dict, logger: EventLogger):
-        self.config = config
-        self.logger = logger
-
+        # 校验必填项
         required_keys = [
             'corpid',
             'secret',
@@ -146,17 +144,27 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         ]
         missing_keys = [key for key in required_keys if key not in config]
         if missing_keys:
-            raise command_errors.ParamNotEnoughError('企业微信缺少相关配置项，请查看文档或联系管理员')
+            raise Exception(f'Wecom 缺少配置项: {missing_keys}')
 
-        self.bot = WecomClient(
+        # 创建运行时 bot 对象
+        bot = WecomClient(
             corpid=config['corpid'],
             secret=config['secret'],
             token=config['token'],
             EncodingAESKey=config['EncodingAESKey'],
             contacts_secret=config['contacts_secret'],
-            logger=self.logger,
+            logger=logger,
         )
 
+        
+        super().__init__(
+            config=config,
+            logger=logger,
+            bot=bot,
+            bot_account_id="",
+        )
+
+
     async def reply_message(
         self,
         message_source: platform_events.MessageEvent,
@@ -231,3 +239,6 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         ],
     ):
         return super().unregister_listener(event_type, callback)
+    
+    async def is_muted(self, group_id: int) -> bool:
+        pass

pkg/platform/sources/wecombot.py

@@ -0,0 +1,167 @@
+from __future__ import annotations
+import typing
+import asyncio
+import traceback
+
+import datetime
+import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
+import pydantic
+from ..logger import  EventLogger
+from libs.wecom_ai_bot_api.wecombotevent import WecomBotEvent
+from libs.wecom_ai_bot_api.api import WecomBotClient
+from ...core import app
+
+class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
+    @staticmethod
+    async def yiri2target(message_chain: platform_message.MessageChain):
+        content = ''
+        for msg in message_chain:
+            if type(msg) is platform_message.Plain:
+                content += msg.text
+        return content
+
+    @staticmethod
+    async def target2yiri(event: WecomBotEvent):
+        yiri_msg_list = []
+        if event.type == 'group':
+            yiri_msg_list.append(platform_message.At(target=event.ai_bot_id))
+        yiri_msg_list.append(platform_message.Source(id=event.message_id, time=datetime.datetime.now()))
+        yiri_msg_list.append(platform_message.Plain(text=event.content))
+        if event.picurl != '':
+            yiri_msg_list.append(platform_message.Image(base64=event.picurl))
+        chain = platform_message.MessageChain(yiri_msg_list)
+
+        return chain
+
+class WecomBotEventConverter(abstract_platform_adapter.AbstractEventConverter):
+
+    @staticmethod
+    async def yiri2target(event:platform_events.MessageEvent):
+        return event.source_platform_object
+    
+    @staticmethod
+    async def target2yiri(event:WecomBotEvent):
+        message_chain = await WecomBotMessageConverter.target2yiri(event)
+        if event.type == 'single':
+            return platform_events.FriendMessage(
+                sender=platform_entities.Friend(
+                    id=event.userid,
+                    nickname='',
+                    remark='',
+                ),
+                message_chain=message_chain,
+                time=datetime.datetime.now().timestamp(),
+                source_platform_object=event,
+            )
+        elif event.type == 'group':
+            try:
+                sender = platform_entities.GroupMember(
+                    id=event.userid,
+                    permission='MEMBER',
+                    member_name=event.userid,
+                    group=platform_entities.Group(
+                        id=str(event.chatid),
+                        name='',
+                        permission=platform_entities.Permission.Member,
+                    ),
+                    special_title='',
+                    join_timestamp=0,
+                    last_speak_timestamp=0,
+                    mute_time_remaining=0,
+                )
+                time = datetime.datetime.now().timestamp()
+                return platform_events.GroupMessage(
+                    sender=sender,
+                    message_chain=message_chain,
+                    time=time,
+                    source_platform_object=event,
+                )
+            except Exception:
+                print(traceback.format_exc())
+
+class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
+    bot: WecomBotClient
+    bot_account_id: str
+    message_converter: WecomBotMessageConverter = WecomBotMessageConverter()
+    event_converter: WecomBotEventConverter = WecomBotEventConverter()
+    config: dict
+
+    def __init__(self, config: dict, logger: EventLogger):
+        required_keys = ['Token', 'EncodingAESKey', 'Corpid', 'BotId', 'port']
+        missing_keys = [key for key in required_keys if key not in config]
+        if missing_keys:
+            raise Exception(f'WecomBot 缺少配置项: {missing_keys}')
+
+        # 创建运行时 bot 对象
+        bot = WecomBotClient(
+            Token=config['Token'],
+            EnCodingAESKey=config['EncodingAESKey'],
+            Corpid=config['Corpid'],
+            logger=logger,
+        )
+        bot_account_id = config['BotId']
+
+        super().__init__(
+            config=config,
+            logger=logger,
+            bot=bot,
+            bot_account_id=bot_account_id,
+        )
+
+
+    async def reply_message(self, message_source:platform_events.MessageEvent, message:platform_message.MessageChain,quote_origin: bool = False):
+
+        content = await self.message_converter.yiri2target(message)
+        await self.bot.set_message(message_source.source_platform_object.message_id, content)
+
+    async def send_message(self, target_type, target_id, message):
+        pass
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ):
+        async def on_message(event: WecomBotEvent):
+            try:
+                return await callback(await self.event_converter.target2yiri(event), self)
+            except Exception:
+                await self.logger.error(f'Error in wecombot callback: {traceback.format_exc()}')
+                print(traceback.format_exc())
+        try:
+            if event_type == platform_events.FriendMessage:
+                self.bot.on_message('single')(on_message)
+            elif event_type == platform_events.GroupMessage:
+                self.bot.on_message('group')(on_message)
+        except Exception:
+            print(traceback.format_exc())
+            
+
+    async def run_async(self):
+        async def shutdown_trigger_placeholder():
+            while True:
+                await asyncio.sleep(1)
+
+        await self.bot.run_task(
+            host='0.0.0.0',
+            port=self.config['port'],
+            shutdown_trigger=shutdown_trigger_placeholder,
+        )
+
+    async def kill(self) -> bool:
+        return False
+
+    async def unregister_listener(
+        self,
+        event_type: type,
+        callback: typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ):
+        return super().unregister_listener(event_type, callback)
+    
+    async def is_muted(self, group_id: int) -> bool:
+        pass
+
+    

pkg/platform/sources/wecombot.yaml

@@ -0,0 +1,52 @@
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: wecombot
+  label:
+    en_US: WeComBot
+    zh_Hans: 企业微信智能机器人
+  description:
+    en_US: WeComBot Adapter
+    zh_Hans: 企业微信智能机器人适配器，请查看文档了解使用方式
+  icon: wecombot.png
+spec:
+  config:
+    - name: port
+      label:
+        en_US: Port
+        zh_Hans: 监听端口
+      type: integer
+      required: true
+      default: 2291
+    - name: Corpid
+      label:
+        en_US: Corpid
+        zh_Hans: 企业ID
+      type: string
+      required: true
+      default: ""
+    - name: Token
+      label:
+        en_US: Token
+        zh_Hans: 令牌
+      type: string
+      required: true
+      default: ""
+    - name: EncodingAESKey
+      label:
+        en_US: EncodingAESKey
+        zh_Hans: 消息加解密密钥
+      type: string
+      required: true
+      default: ""
+    - name: BotId
+      label:
+        en_US: BotId
+        zh_Hans: 机器人ID
+      type: string
+      required: false
+      default: ""
+execution:
+  python:
+    path: ./wecombot.py
+    attr: WecomBotAdapter

pkg/plugin/connector.py

@@ -7,6 +7,8 @@ import typing
 import os
 import sys
 
+from async_lru import alru_cache
+
 from ..core import app
 from . import handler
 from ..utils import platform
@@ -16,7 +18,7 @@ from langbot_plugin.api.entities import events
 from langbot_plugin.api.entities import context
 import langbot_plugin.runtime.io.connection as base_connection
 from langbot_plugin.api.definition.components.manifest import ComponentManifest
-from langbot_plugin.api.entities.builtin.command import context as command_context
+from langbot_plugin.api.entities.builtin.command import context as command_context, errors as command_errors
 from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
 from ..core import taskmgr
 
@@ -30,6 +32,8 @@ class PluginRuntimeConnector:
 
     handler_task: asyncio.Task
 
+    heartbeat_task: asyncio.Task | None = None
+
     stdio_client_controller: stdio_client_controller.StdioClientController
 
     ctrl: stdio_client_controller.StdioClientController | ws_client_controller.WebSocketClientController
@@ -38,6 +42,9 @@ class PluginRuntimeConnector:
         [PluginRuntimeConnector], typing.Coroutine[typing.Any, typing.Any, None]
     ]
 
+    is_enable_plugin: bool = True
+    """Mark if the plugin system is enabled"""
+
     def __init__(
         self,
         ap: app.Application,
@@ -47,8 +54,22 @@ class PluginRuntimeConnector:
     ):
         self.ap = ap
         self.runtime_disconnect_callback = runtime_disconnect_callback
+        self.is_enable_plugin = self.ap.instance_config.data.get('plugin', {}).get('enable', True)
+
+    async def heartbeat_loop(self):
+        while True:
+            await asyncio.sleep(10)
+            try:
+                await self.ping_plugin_runtime()
+                self.ap.logger.debug('Heartbeat to plugin runtime success.')
+            except Exception as e:
+                self.ap.logger.debug(f'Failed to heartbeat to plugin runtime: {e}')
 
     async def initialize(self):
+        if not self.is_enable_plugin:
+            self.ap.logger.info('Plugin system is disabled.')
+            return
+
         async def new_connection_callback(connection: base_connection.Connection):
             async def disconnect_callback(rchandler: handler.RuntimeConnectionHandler) -> bool:
                 if platform.get_platform() == 'docker' or platform.use_websocket_to_connect_plugin_runtime():
@@ -62,6 +83,7 @@ class PluginRuntimeConnector:
                     return False
 
             self.handler = handler.RuntimeConnectionHandler(connection, disconnect_callback, self.ap)
+
             self.handler_task = asyncio.create_task(self.handler.run())
             _ = await self.handler.ping()
             self.ap.logger.info('Connected to plugin runtime.')
@@ -71,10 +93,17 @@ class PluginRuntimeConnector:
 
         if platform.get_platform() == 'docker' or platform.use_websocket_to_connect_plugin_runtime():  # use websocket
             self.ap.logger.info('use websocket to connect to plugin runtime')
-            ws_url = self.ap.instance_config.data['plugin']['runtime_ws_url']
+            ws_url = self.ap.instance_config.data.get('plugin', {}).get(
+                'runtime_ws_url', 'ws://langbot_plugin_runtime:5400/control/ws'
+            )
 
-            async def make_connection_failed_callback(ctrl: ws_client_controller.WebSocketClientController) -> None:
-                self.ap.logger.error('Failed to connect to plugin runtime, trying to reconnect...')
+            async def make_connection_failed_callback(
+                ctrl: ws_client_controller.WebSocketClientController, exc: Exception = None
+            ) -> None:
+                if exc is not None:
+                    self.ap.logger.error(f'Failed to connect to plugin runtime({ws_url}): {exc}')
+                else:
+                    self.ap.logger.error(f'Failed to connect to plugin runtime({ws_url}), trying to reconnect...')
                 await self.runtime_disconnect_callback(self)
 
             self.ctrl = ws_client_controller.WebSocketClientController(
@@ -94,17 +123,34 @@ class PluginRuntimeConnector:
             )
             task = self.ctrl.run(new_connection_callback)
 
+        if self.heartbeat_task is None:
+            self.heartbeat_task = asyncio.create_task(self.heartbeat_loop())
+
         asyncio.create_task(task)
 
     async def initialize_plugins(self):
         pass
 
+    async def ping_plugin_runtime(self):
+        if not hasattr(self, 'handler'):
+            raise Exception('Plugin runtime is not connected')
+
+        return await self.handler.ping()
+
     async def install_plugin(
         self,
         install_source: PluginInstallSource,
         install_info: dict[str, Any],
         task_context: taskmgr.TaskContext | None = None,
     ):
+        if install_source == PluginInstallSource.LOCAL:
+            # transfer file before install
+            file_bytes = install_info['plugin_file']
+            file_key = await self.handler.send_file(file_bytes, 'lbpkg')
+            install_info['plugin_file_key'] = file_key
+            del install_info['plugin_file']
+            self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')
+
         async for ret in self.handler.install_plugin(install_source.value, install_info):
             current_action = ret.get('current_action', None)
             if current_action is not None:
@@ -145,6 +191,9 @@ class PluginRuntimeConnector:
                     task_context.trace(trace)
 
     async def list_plugins(self) -> list[dict[str, Any]]:
+        if not self.is_enable_plugin:
+            return []
+
         return await self.handler.list_plugins()
 
     async def get_plugin_info(self, author: str, plugin_name: str) -> dict[str, Any]:
@@ -153,12 +202,19 @@ class PluginRuntimeConnector:
     async def set_plugin_config(self, plugin_author: str, plugin_name: str, config: dict[str, Any]) -> dict[str, Any]:
         return await self.handler.set_plugin_config(plugin_author, plugin_name, config)
 
+    @alru_cache(ttl=5 * 60)  # 5 minutes
+    async def get_plugin_icon(self, plugin_author: str, plugin_name: str) -> dict[str, Any]:
+        return await self.handler.get_plugin_icon(plugin_author, plugin_name)
+
     async def emit_event(
         self,
         event: events.BaseEventModel,
     ) -> context.EventContext:
         event_ctx = context.EventContext.from_event(event)
 
+        if not self.is_enable_plugin:
+            return event_ctx
+
         event_ctx_result = await self.handler.emit_event(event_ctx.model_dump(serialize_as_any=True))
 
         event_ctx = context.EventContext.model_validate(event_ctx_result['event_context'])
@@ -166,14 +222,23 @@ class PluginRuntimeConnector:
         return event_ctx
 
     async def list_tools(self) -> list[ComponentManifest]:
+        if not self.is_enable_plugin:
+            return []
+
         list_tools_data = await self.handler.list_tools()
 
         return [ComponentManifest.model_validate(tool) for tool in list_tools_data]
 
     async def call_tool(self, tool_name: str, parameters: dict[str, Any]) -> dict[str, Any]:
+        if not self.is_enable_plugin:
+            return {'error': 'Tool not found: plugin system is disabled'}
+
         return await self.handler.call_tool(tool_name, parameters)
 
     async def list_commands(self) -> list[ComponentManifest]:
+        if not self.is_enable_plugin:
+            return []
+
         list_commands_data = await self.handler.list_commands()
 
         return [ComponentManifest.model_validate(command) for command in list_commands_data]
@@ -181,6 +246,9 @@ class PluginRuntimeConnector:
     async def execute_command(
         self, command_ctx: command_context.ExecuteContext
     ) -> typing.AsyncGenerator[command_context.CommandReturn, None]:
+        if not self.is_enable_plugin:
+            yield command_context.CommandReturn(error=command_errors.CommandNotFoundError(command_ctx.command))
+
         gen = self.handler.execute_command(command_ctx.model_dump(serialize_as_any=True))
 
         async for ret in gen:
@@ -189,6 +257,10 @@ class PluginRuntimeConnector:
             yield cmd_ret
 
     def dispose(self):
-        if isinstance(self.ctrl, stdio_client_controller.StdioClientController):
+        if self.is_enable_plugin and isinstance(self.ctrl, stdio_client_controller.StdioClientController):
             self.ap.logger.info('Terminating plugin runtime process...')
             self.ctrl.process.terminate()
+
+        if self.heartbeat_task is not None:
+            self.heartbeat_task.cancel()
+            self.heartbeat_task = None

pkg/plugin/handler.py

@@ -216,6 +216,23 @@ class RuntimeConnectionHandler(handler.Handler):
                 },
             )
 
+        @self.action(PluginToRuntimeAction.CREATE_NEW_CONVERSATION)
+        async def create_new_conversation(data: dict[str, Any]) -> handler.ActionResponse:
+            """Create new conversation"""
+            query_id = data['query_id']
+            if query_id not in self.ap.query_pool.cached_queries:
+                return handler.ActionResponse.error(
+                    message=f'Query with query_id {query_id} not found',
+                )
+
+            query = self.ap.query_pool.cached_queries[query_id]
+
+            query.session.using_conversation = None
+
+            return handler.ActionResponse.success(
+                data={},
+            )
+
         @self.action(PluginToRuntimeAction.GET_LANGBOT_VERSION)
         async def get_langbot_version(data: dict[str, Any]) -> handler.ActionResponse:
             """Get langbot version"""
@@ -519,7 +536,7 @@ class RuntimeConnectionHandler(handler.Handler):
             {
                 'event_context': event_context,
             },
-            timeout=30,
+            timeout=60,
         )
 
         return result
@@ -529,11 +546,33 @@ class RuntimeConnectionHandler(handler.Handler):
         result = await self.call_action(
             LangBotToRuntimeAction.LIST_TOOLS,
             {},
-            timeout=10,
+            timeout=20,
         )
 
         return result['tools']
 
+    async def get_plugin_icon(self, plugin_author: str, plugin_name: str) -> dict[str, Any]:
+        """Get plugin icon"""
+        result = await self.call_action(
+            LangBotToRuntimeAction.GET_PLUGIN_ICON,
+            {
+                'plugin_author': plugin_author,
+                'plugin_name': plugin_name,
+            },
+        )
+
+        plugin_icon_file_key = result['plugin_icon_file_key']
+        mime_type = result['mime_type']
+
+        plugin_icon_bytes = await self.read_local_file(plugin_icon_file_key)
+
+        await self.delete_local_file(plugin_icon_file_key)
+
+        return {
+            'plugin_icon_base64': base64.b64encode(plugin_icon_bytes).decode('utf-8'),
+            'mime_type': mime_type,
+        }
+
     async def call_tool(self, tool_name: str, parameters: dict[str, Any]) -> dict[str, Any]:
         """Call tool"""
         result = await self.call_action(
@@ -542,7 +581,7 @@ class RuntimeConnectionHandler(handler.Handler):
                 'tool_name': tool_name,
                 'tool_parameters': parameters,
             },
-            timeout=30,
+            timeout=60,
         )
 
         return result['tool_response']
@@ -563,7 +602,7 @@ class RuntimeConnectionHandler(handler.Handler):
             {
                 'command_context': command_context,
             },
-            timeout=30,
+            timeout=60,
         )
 
         async for ret in gen:

pkg/provider/modelmgr/requesters/bailianchatcmpl.py

@@ -1,9 +1,14 @@
 from __future__ import annotations
 
 import typing
+import dashscope
 import openai
 
 from . import modelscopechatcmpl
+from .. import requester
+import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
 
 
 class BailianChatCompletions(modelscopechatcmpl.ModelScopeChatCompletions):
@@ -15,3 +20,211 @@ class BailianChatCompletions(modelscopechatcmpl.ModelScopeChatCompletions):
         'base_url': 'https://dashscope.aliyuncs.com/compatible-mode/v1',
         'timeout': 120,
     }
+
+    async def _closure_stream(
+        self,
+        query: pipeline_query.Query,
+        req_messages: list[dict],
+        use_model: requester.RuntimeLLMModel,
+        use_funcs: list[resource_tool.LLMTool] = None,
+        extra_args: dict[str, typing.Any] = {},
+        remove_think: bool = False,
+    ) -> provider_message.Message | typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        self.client.api_key = use_model.token_mgr.get_token()
+
+        args = {}
+        args['model'] = use_model.model_entity.name
+
+        if use_funcs:
+            tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
+
+            if tools:
+                args['tools'] = tools
+
+        # 设置此次请求中的messages
+        messages = req_messages.copy()
+
+        is_use_dashscope_call = False   # 是否使用阿里原生库调用
+        is_enable_multi_model = True  # 是否支持多轮对话
+        use_time_num = 0 # 模型已调用次数，防止存在多文件时重复调用
+        use_time_ids = [] # 已调用的ID列表
+        message_id = 0  # 记录消息序号
+
+        for msg in messages:
+            # print(msg)
+            if 'content' in msg and isinstance(msg['content'], list):
+                for me in msg['content']:
+                    if me['type'] == 'image_base64':
+                        me['image_url'] = {'url': me['image_base64']}
+                        me['type'] = 'image_url'
+                        del me['image_base64']
+                    elif me['type'] == 'file_url' and '.' in me.get('file_name', ''):
+                        # 1. 视频文件推理
+                        # https://bailian.console.aliyun.com/?tab=doc#/doc/?type=model&url=2845871
+                        file_type = me.get('file_name').lower().split('.')[-1]
+                        if file_type in ['mp4', 'avi', 'mkv', 'mov', 'flv', 'wmv']:
+                            me['type'] = 'video_url'
+                            me['video_url'] = {'url': me['file_url']}
+                            del me['file_url']
+                            del me['file_name']
+                            use_time_num +=1
+                            use_time_ids.append(message_id)
+                            is_enable_multi_model = False
+                        # 2. 语音文件识别, 无法通过openai的audio字段传递，暂时不支持
+                        # https://bailian.console.aliyun.com/?tab=doc#/doc/?type=model&url=2979031
+                        elif file_type in ['aac', 'amr', 'aiff', 'flac', 'm4a',
+                                           'mp3', 'mpeg', 'ogg', 'opus', 'wav', 'webm', 'wma']:
+                            me['audio'] = me['file_url']
+                            me['type'] = 'audio'
+                            del me['file_url']
+                            del me['type']
+                            del me['file_name']
+                            is_use_dashscope_call = True
+                            use_time_num +=1
+                            use_time_ids.append(message_id)
+                            is_enable_multi_model = False
+            message_id += 1
+
+        # 使用列表推导式，保留不在 use_time_ids[:-1] 中的元素，仅保留最后一个多媒体消息
+        if not is_enable_multi_model and use_time_num > 1:
+            messages = [msg for idx, msg in enumerate(messages) if idx not in use_time_ids[:-1]]
+
+        if not is_enable_multi_model:
+            messages = [msg for msg in messages if 'resp_message_id' not in msg]
+
+        args['messages'] = messages
+        args['stream'] = True
+
+        # 流式处理状态
+        # tool_calls_map: dict[str, provider_message.ToolCall] = {}
+        chunk_idx = 0
+        thinking_started = False
+        thinking_ended = False
+        role = 'assistant'  # 默认角色
+
+        if is_use_dashscope_call:
+            response = dashscope.MultiModalConversation.call(
+                # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key = "sk-xxx"
+                api_key=use_model.token_mgr.get_token(),
+                model=use_model.model_entity.name,
+                messages=messages,
+                result_format="message",
+                asr_options={
+                    # "language": "zh", # 可选，若已知音频的语种，可通过该参数指定待识别语种，以提升识别准确率
+                    "enable_lid": True,
+                    "enable_itn": False
+                },
+                stream=True
+            )
+            content_length_list = []
+            previous_length = 0  # 记录上一次的内容长度
+            for res in response:
+                chunk = res["output"]
+                # 解析 chunk 数据
+                if hasattr(chunk, 'choices') and chunk.choices:
+                    choice = chunk.choices[0]
+                    delta_content = choice["message"].content[0]["text"]
+                    finish_reason = choice["finish_reason"]
+                    content_length_list.append(len(delta_content))
+                else:
+                    delta_content = ""
+                    finish_reason = None
+
+                # 跳过空的第一个 chunk（只有 role 没有内容）
+                if chunk_idx == 0 and not delta_content:
+                    chunk_idx += 1
+                    continue
+
+                # 检查 content_length_list 是否有足够的数据
+                if len(content_length_list) >= 2:
+                    now_content = delta_content[previous_length: content_length_list[-1]]
+                    previous_length = content_length_list[-1]  # 更新上一次的长度
+                else:
+                    now_content = delta_content  # 第一次循环时直接使用 delta_content
+                    previous_length = len(delta_content)  # 更新上一次的长度
+
+                # 构建 MessageChunk - 只包含增量内容
+                chunk_data = {
+                    'role': role,
+                    'content': now_content if now_content else None,
+                    'is_final': bool(finish_reason) and finish_reason != "null",
+                }
+
+                # 移除 None 值
+                chunk_data = {k: v for k, v in chunk_data.items() if v is not None}
+                yield provider_message.MessageChunk(**chunk_data)
+                chunk_idx += 1
+        else:
+            async for chunk in self._req_stream(args, extra_body=extra_args):
+                # 解析 chunk 数据
+                if hasattr(chunk, 'choices') and chunk.choices:
+                    choice = chunk.choices[0]
+                    delta = choice.delta.model_dump() if hasattr(choice, 'delta') else {}
+                    finish_reason = getattr(choice, 'finish_reason', None)
+                else:
+                    delta = {}
+                    finish_reason = None
+
+                # 从第一个 chunk 获取 role，后续使用这个 role
+                if 'role' in delta and delta['role']:
+                    role = delta['role']
+
+                # 获取增量内容
+                delta_content = delta.get('content', '')
+                reasoning_content = delta.get('reasoning_content', '')
+
+                # 处理 reasoning_content
+                if reasoning_content:
+                    # accumulated_reasoning += reasoning_content
+                    # 如果设置了 remove_think，跳过 reasoning_content
+                    if remove_think:
+                        chunk_idx += 1
+                        continue
+
+                    # 第一次出现 reasoning_content，添加 <think> 开始标签
+                    if not thinking_started:
+                        thinking_started = True
+                        delta_content = '<think>\n' + reasoning_content
+                    else:
+                        # 继续输出 reasoning_content
+                        delta_content = reasoning_content
+                elif thinking_started and not thinking_ended and delta_content:
+                    # reasoning_content 结束，normal content 开始，添加 </think> 结束标签
+                    thinking_ended = True
+                    delta_content = '\n</think>\n' + delta_content
+
+                # 处理工具调用增量
+                if delta.get('tool_calls'):
+                    for tool_call in delta['tool_calls']:
+                        if tool_call['id'] != '':
+                            tool_id = tool_call['id']
+                        if tool_call['function']['name'] is not None:
+                            tool_name = tool_call['function']['name']
+
+                        if tool_call['type'] is None:
+                            tool_call['type'] = 'function'
+                        tool_call['id'] = tool_id
+                        tool_call['function']['name'] = tool_name
+                        tool_call['function']['arguments'] = (
+                            '' if tool_call['function']['arguments'] is None else tool_call['function']['arguments']
+                        )
+
+                # 跳过空的第一个 chunk（只有 role 没有内容）
+                if chunk_idx == 0 and not delta_content and not reasoning_content and not delta.get('tool_calls'):
+                    chunk_idx += 1
+                    continue
+
+                # 构建 MessageChunk - 只包含增量内容
+                chunk_data = {
+                    'role': role,
+                    'content': delta_content if delta_content else None,
+                    'tool_calls': delta.get('tool_calls'),
+                    'is_final': bool(finish_reason),
+                }
+
+                # 移除 None 值
+                chunk_data = {k: v for k, v in chunk_data.items() if v is not None}
+
+                yield provider_message.MessageChunk(**chunk_data)
+                chunk_idx += 1
+                # return

pkg/provider/modelmgr/requesters/tokenpony.svg

@@ -0,0 +1 @@
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pkg/provider/modelmgr/requesters/tokenpony.yaml

@@ -0,0 +1,31 @@
+apiVersion: v1
+kind: LLMAPIRequester
+metadata:
+  name: tokenpony-chat-completions
+  label:
+    en_US: TokenPony
+    zh_Hans: 小马算力
+  icon: tokenpony.svg
+spec:
+  config:
+    - name: base_url
+      label:
+        en_US: Base URL
+        zh_Hans: 基础 URL
+      type: string
+      required: true
+      default: "https://api.tokenpony.cn/v1"
+    - name: timeout
+      label:
+        en_US: Timeout
+        zh_Hans: 超时时间
+      type: integer
+      required: true
+      default: 120
+  support_type:
+    - llm
+    - text-embedding
+execution:
+  python:
+    path: ./tokenponychatcmpl.py
+    attr: TokenPonyChatCompletions

pkg/provider/modelmgr/requesters/tokenponychatcmpl.py

@@ -0,0 +1,17 @@
+from __future__ import annotations
+
+import typing
+import openai
+
+from . import chatcmpl
+
+
+class TokenPonyChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """TokenPony ChatCompletion API 请求器"""
+
+    client: openai.AsyncClient
+
+    default_config: dict[str, typing.Any] = {
+        'base_url': 'https://api.tokenpony.cn/v1',
+        'timeout': 120,
+    }

pkg/provider/runner.py

@@ -36,6 +36,6 @@ class RequestRunner(abc.ABC):
         self.pipeline_config = pipeline_config
 
     @abc.abstractmethod
-    async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
+    async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message | llm_entities.MessageChunk, None]:
         """运行请求"""
-        pass
+        pass

pkg/provider/runners/langflowapi.py

@@ -0,0 +1,181 @@
+from __future__ import annotations
+
+import typing
+import json
+import httpx
+import uuid
+import traceback
+
+from .. import runner
+from ...core import app
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+
+
+@runner.runner_class('langflow-api')
+class LangflowAPIRunner(runner.RequestRunner):
+    """Langflow API 对话请求器"""
+
+    def __init__(self, ap: app.Application, pipeline_config: dict):
+        self.ap = ap
+        self.pipeline_config = pipeline_config
+
+    async def _build_request_payload(self, query: pipeline_query.Query) -> dict:
+        """构建请求负载
+
+        Args:
+            query: 用户查询对象
+
+        Returns:
+            dict: 请求负载
+        """
+        # 获取用户消息文本
+        user_message_text = ''
+        if isinstance(query.user_message.content, str):
+            user_message_text = query.user_message.content
+        elif isinstance(query.user_message.content, list):
+            for item in query.user_message.content:
+                if item.type == 'text':
+                    user_message_text += item.text
+
+        # 从配置中获取 input_type 和 output_type，如果未配置则使用默认值
+        input_type = self.pipeline_config['ai']['langflow-api'].get('input_type', 'chat')
+        output_type = self.pipeline_config['ai']['langflow-api'].get('output_type', 'chat')
+
+        # 构建基本负载
+        payload = {
+            'output_type': output_type,
+            'input_type': input_type,
+            'input_value': user_message_text,
+            'session_id': str(uuid.uuid4()),
+        }
+
+        # 如果配置中有tweaks，则添加到负载中
+        tweaks = json.loads(self.pipeline_config['ai']['langflow-api'].get('tweaks'))
+        if tweaks:
+            payload['tweaks'] = tweaks
+
+        return payload
+
+    async def run(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
+        """运行请求
+
+        Args:
+            query: 用户查询对象
+
+        Yields:
+            Message: 回复消息
+        """
+        # 检查是否支持流式输出
+        is_stream = False
+        try:
+            is_stream = await query.adapter.is_stream_output_supported()
+        except AttributeError:
+            is_stream = False
+
+        # 从配置中获取API参数
+        base_url = self.pipeline_config['ai']['langflow-api']['base-url']
+        api_key = self.pipeline_config['ai']['langflow-api']['api-key']
+        flow_id = self.pipeline_config['ai']['langflow-api']['flow-id']
+
+        # 构建API URL
+        url = f'{base_url.rstrip("/")}/api/v1/run/{flow_id}'
+
+        # 构建请求负载
+        payload = await self._build_request_payload(query)
+
+        # 设置请求头
+        headers = {'Content-Type': 'application/json', 'x-api-key': api_key}
+
+        # 发送请求
+        async with httpx.AsyncClient() as client:
+            if is_stream:
+                # 流式请求
+                async with client.stream('POST', url, json=payload, headers=headers, timeout=120.0) as response:
+                    print(response)
+                    response.raise_for_status()
+
+                    accumulated_content = ''
+                    message_count = 0
+
+                    async for line in response.aiter_lines():
+                        data_str = line
+
+                        if data_str.startswith('data: '):
+                            data_str = data_str[6:]  # 移除 "data: " 前缀
+
+                        try:
+                            data = json.loads(data_str)
+
+                            # 提取消息内容
+                            message_text = ''
+                            if 'outputs' in data and len(data['outputs']) > 0:
+                                output = data['outputs'][0]
+                                if 'outputs' in output and len(output['outputs']) > 0:
+                                    inner_output = output['outputs'][0]
+                                    if 'outputs' in inner_output and 'message' in inner_output['outputs']:
+                                        message_data = inner_output['outputs']['message']
+                                        if 'message' in message_data:
+                                            message_text = message_data['message']
+
+                            # 如果没有找到消息，尝试其他可能的路径
+                            if not message_text and 'messages' in data:
+                                messages = data['messages']
+                                if messages and len(messages) > 0:
+                                    message_text = messages[0].get('message', '')
+
+                            if message_text:
+                                # 更新累积内容
+                                accumulated_content = message_text
+                                message_count += 1
+
+                                # 每8条消息或有新内容时生成一个chunk
+                                if message_count % 8 == 0 or len(message_text) > 0:
+                                    yield provider_message.MessageChunk(
+                                        role='assistant', content=accumulated_content, is_final=False
+                                    )
+                        except json.JSONDecodeError:
+                            # 如果不是JSON，跳过这一行
+                            traceback.print_exc()
+                            continue
+
+                    # 发送最终消息
+                    yield provider_message.MessageChunk(role='assistant', content=accumulated_content, is_final=True)
+            else:
+                # 非流式请求
+                response = await client.post(url, json=payload, headers=headers, timeout=120.0)
+                response.raise_for_status()
+
+                # 解析响应
+                response_data = response.json()
+
+                # 提取消息内容
+                # 根据Langflow API文档，响应结构可能在outputs[0].outputs[0].outputs.message.message中
+                message_text = ''
+                if 'outputs' in response_data and len(response_data['outputs']) > 0:
+                    output = response_data['outputs'][0]
+                    if 'outputs' in output and len(output['outputs']) > 0:
+                        inner_output = output['outputs'][0]
+                        if 'outputs' in inner_output and 'message' in inner_output['outputs']:
+                            message_data = inner_output['outputs']['message']
+                            if 'message' in message_data:
+                                message_text = message_data['message']
+
+                # 如果没有找到消息，尝试其他可能的路径
+                if not message_text and 'messages' in response_data:
+                    messages = response_data['messages']
+                    if messages and len(messages) > 0:
+                        message_text = messages[0].get('message', '')
+
+                # 如果仍然没有找到消息，返回完整响应的字符串表示
+                if not message_text:
+                    message_text = json.dumps(response_data, ensure_ascii=False, indent=2)
+
+                # 生成回复消息
+                if is_stream:
+                    yield provider_message.MessageChunk(role='assistant', content=message_text, is_final=True)
+                else:
+                    reply_message = provider_message.Message(role='assistant', content=message_text)
+                    yield reply_message

pkg/provider/runners/tboxapi.py

@@ -0,0 +1,205 @@
+from __future__ import annotations
+
+import typing
+import json
+import base64
+import tempfile
+import os
+
+from tboxsdk.tbox import TboxClient
+from tboxsdk.model.file import File, FileType
+
+from .. import runner
+from ...core import app
+from ...utils import image
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+
+
+class TboxAPIError(Exception):
+    """TBox API 请求失败"""
+
+    def __init__(self, message: str):
+        self.message = message
+        super().__init__(self.message)
+
+
+@runner.runner_class('tbox-app-api')
+class TboxAPIRunner(runner.RequestRunner):
+    "蚂蚁百宝箱API对话请求器"
+
+    # 运行器内部使用的配置
+    app_id: str  # 蚂蚁百宝箱平台中的应用ID
+    api_key: str  # 在蚂蚁百宝箱平台中申请的令牌
+
+    def __init__(self, ap: app.Application, pipeline_config: dict):
+        """初始化"""
+        self.ap = ap
+        self.pipeline_config = pipeline_config
+
+        # 初始化Tbox 参数配置
+        self.app_id = self.pipeline_config['ai']['tbox-app-api']['app-id']
+        self.api_key = self.pipeline_config['ai']['tbox-app-api']['api-key']
+
+        # 初始化Tbox client
+        self.tbox_client = TboxClient(authorization=self.api_key)
+
+    async def _preprocess_user_message(self, query: pipeline_query.Query) -> tuple[str, list[str]]:
+        """预处理用户消息，提取纯文本，并将图片上传到 Tbox 服务
+
+        Returns:
+            tuple[str, list[str]]: 纯文本和图片的 Tbox 文件ID
+        """
+        plain_text = ''
+        image_ids = []
+
+        if isinstance(query.user_message.content, list):
+            for ce in query.user_message.content:
+                if ce.type == 'text':
+                    plain_text += ce.text
+                elif ce.type == 'image_base64':
+                    image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
+                    # 创建临时文件
+                    file_bytes = base64.b64decode(image_b64)
+                    try:
+                        with tempfile.NamedTemporaryFile(suffix=f'.{image_format}', delete=False) as tmp_file:
+                            tmp_file.write(file_bytes)
+                            tmp_file_path = tmp_file.name
+                        file_upload_resp = self.tbox_client.upload_file(
+                            tmp_file_path
+                        )
+                        image_id = file_upload_resp.get("data", "")
+                        image_ids.append(image_id)
+                    finally:
+                        # 清理临时文件
+                        if os.path.exists(tmp_file_path):
+                            os.unlink(tmp_file_path)
+        elif isinstance(query.user_message.content, str):
+            plain_text = query.user_message.content
+
+        return plain_text, image_ids
+
+    async def _agent_messages(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """TBox 智能体对话请求"""
+
+        plain_text, image_ids = await self._preprocess_user_message(query)
+        remove_think = self.pipeline_config['output'].get('misc', {}).get('remove-think')
+
+        try:
+            is_stream = await query.adapter.is_stream_output_supported()
+        except AttributeError:
+            is_stream = False
+
+        # 获取Tbox的conversation_id
+        conversation_id = query.session.using_conversation.uuid or None
+
+        files = None
+        if image_ids:
+            files = [
+                File(file_id=image_id, type=FileType.IMAGE)
+                for image_id in image_ids
+            ]
+
+        # 发送对话请求
+        response = self.tbox_client.chat(
+            app_id=self.app_id,  # Tbox中智能体应用的ID
+            user_id=query.bot_uuid, # 用户ID
+            query=plain_text,  # 用户输入的文本信息
+            stream=is_stream,  # 是否流式输出
+            conversation_id=conversation_id,  # 会话ID，为None时Tbox会自动创建一个新会话
+            files=files,  # 图片内容
+        )
+
+        if is_stream:
+            # 解析Tbox流式输出内容，并发送给上游
+            for chunk in self._process_stream_message(response, query, remove_think):
+                yield chunk
+        else:
+            message = self._process_non_stream_message(response, query, remove_think)
+            yield provider_message.Message(
+                role='assistant',
+                content=message,
+            )
+
+    def _process_non_stream_message(self, response: typing.Dict, query: pipeline_query.Query, remove_think: bool):
+        if response.get('errorCode') != "0":
+            raise TboxAPIError(f'Tbox API 请求失败: {response.get("errorMsg", "")}')
+        payload = response.get('data', {})
+        conversation_id = payload.get('conversationId', '')
+        query.session.using_conversation.uuid = conversation_id
+        thinking_content = payload.get('reasoningContent', [])
+        result = ""
+        if thinking_content and not remove_think:
+            result += f'<think>\n{thinking_content[0].get("text", "")}\n</think>\n'
+        content = payload.get('result', [])
+        if content:
+            result += content[0].get('chunk', '')
+        return result
+
+    def _process_stream_message(self, response: typing.Generator[dict], query: pipeline_query.Query, remove_think: bool):
+        idx_msg = 0
+        pending_content = ''
+        conversation_id = None
+        think_start = False
+        think_end = False
+        for chunk in response:
+            if chunk.get('type', '') == 'chunk':
+                """
+                Tbox返回的消息内容chunk结构
+                {'lane': 'default', 'payload': {'conversationId': '20250918tBI947065406', 'messageId': '20250918TB1f53230954', 'text': '️'}, 'type': 'chunk'}
+                """
+                # 如果包含思考过程，拼接</think>
+                if think_start and not think_end:
+                    pending_content += '\n</think>\n'
+                    think_end = True
+
+                payload = chunk.get('payload', {})
+                if not conversation_id:
+                    conversation_id = payload.get('conversationId')
+                    query.session.using_conversation.uuid = conversation_id
+                if payload.get('text'):
+                    idx_msg += 1
+                    pending_content += payload.get('text')
+            elif chunk.get('type', '') == 'thinking' and not remove_think:
+                """
+                Tbox返回的思考过程chunk结构
+                {'payload': '{"ext_data":{"text":"日期"},"event":"flow.node.llm.thinking","entity":{"node_type":"text-completion","execute_id":"6","group_id":0,"parent_execute_id":"6","node_name":"模型推理","node_id":"TC_5u6gl0"}}', 'type': 'thinking'}
+                """
+                payload = json.loads(chunk.get('payload', '{}'))
+                if payload.get('ext_data', {}).get('text'):
+                    idx_msg += 1
+                    content = payload.get('ext_data', {}).get('text')   
+                    if not think_start:
+                        think_start = True
+                        pending_content += f'<think>\n{content}'
+                    else:
+                        pending_content += content
+            elif chunk.get('type', '') == 'error':
+                raise TboxAPIError(
+                    f'Tbox API 请求失败: status_code={chunk.get("status_code")} message={chunk.get("message")} request_id={chunk.get("request_id")} '
+                )
+
+            if idx_msg % 8 == 0:
+                yield provider_message.MessageChunk(
+                    role='assistant',
+                    content=pending_content,
+                    is_final=False,
+                )
+
+        # Tbox不返回END事件，默认发一个最终消息
+        yield provider_message.MessageChunk(
+            role='assistant',
+            content=pending_content,
+            is_final=True,
+        )
+
+    async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """运行"""
+        msg_seq = 0
+        async for msg in self._agent_messages(query):
+            if isinstance(msg, provider_message.MessageChunk):
+                msg_seq += 1
+                msg.msg_sequence = msg_seq
+            yield msg

pkg/rag/knowledge/services/retriever.py

@@ -24,23 +24,23 @@ class Retriever(base_service.BaseService):
             extra_args={},  # TODO: add extra args
         )
 
-        chroma_results = await self.ap.vector_db_mgr.vector_db.search(kb_id, query_embedding[0], k)
+        vector_results = await self.ap.vector_db_mgr.vector_db.search(kb_id, query_embedding[0], k)
 
-        # 'ids' is always returned by ChromaDB, even if not explicitly in 'include'
-        matched_chroma_ids = chroma_results.get('ids', [[]])[0]
-        distances = chroma_results.get('distances', [[]])[0]
-        chroma_metadatas = chroma_results.get('metadatas', [[]])[0]
+        # 'ids' shape mirrors the Chroma-style response contract for compatibility
+        matched_vector_ids = vector_results.get('ids', [[]])[0]
+        distances = vector_results.get('distances', [[]])[0]
+        vector_metadatas = vector_results.get('metadatas', [[]])[0]
 
-        if not matched_chroma_ids:
-            self.ap.logger.info('No relevant chunks found in Chroma.')
+        if not matched_vector_ids:
+            self.ap.logger.info('No relevant chunks found in vector database.')
             return []
 
         result: list[retriever_entities.RetrieveResultEntry] = []
 
-        for i, id in enumerate(matched_chroma_ids):
+        for i, id in enumerate(matched_vector_ids):
             entry = retriever_entities.RetrieveResultEntry(
                 id=id,
-                metadata=chroma_metadatas[i],
+                metadata=vector_metadatas[i],
                 distance=distances[i],
             )
             result.append(entry)

pkg/utils/announce.py

@@ -45,17 +45,23 @@ class AnnouncementManager:
 
     async def fetch_all(self) -> list[Announcement]:
         """获取所有公告"""
-        resp = requests.get(
-            url='https://api.github.com/repos/langbot-app/LangBot/contents/res/announcement.json',
-            proxies=self.ap.proxy_mgr.get_forward_proxies(),
-            timeout=5,
-        )
-        obj_json = resp.json()
-        b64_content = obj_json['content']
-        # 解码
-        content = base64.b64decode(b64_content).decode('utf-8')
+        try:
+            resp = requests.get(
+                url='https://api.github.com/repos/langbot-app/LangBot/contents/res/announcement.json',
+                proxies=self.ap.proxy_mgr.get_forward_proxies(),
+                timeout=5,
+            )
+            resp.raise_for_status()  # 检查请求是否成功
+            obj_json = resp.json()
+            b64_content = obj_json['content']
+            # 解码
+            content = base64.b64decode(b64_content).decode('utf-8')
 
-        return [Announcement(**item) for item in json.loads(content)]
+            return [Announcement(**item) for item in json.loads(content)]
+        except (requests.RequestException, json.JSONDecodeError, KeyError) as e:
+            self.ap.logger.warning(f'获取公告失败: {e}')
+            pass
+        return []  # 请求失败时返回空列表
 
     async def fetch_saved(self) -> list[Announcement]:
         if not os.path.exists('data/labels/announcement_saved.json'):

pkg/utils/constants.py

@@ -1,7 +1,7 @@
-semantic_version = 'v4.3.0.beta3'
+semantic_version = 'v4.3.7'
 
-required_database_version = 6
-"""标记本版本所需要的数据库结构版本，用于判断数据库迁移"""
+required_database_version = 8
+"""Tag the version of the database schema, used to check if the database needs to be migrated"""
 
 debug_mode = False
 

pkg/utils/version.py

@@ -28,15 +28,19 @@ class VersionManager:
 
     async def get_release_list(self) -> list:
         """获取发行列表"""
-        rls_list_resp = requests.get(
-            url='https://api.github.com/repos/langbot-app/LangBot/releases',
-            proxies=self.ap.proxy_mgr.get_forward_proxies(),
-            timeout=5,
-        )
-
-        rls_list = rls_list_resp.json()
-
-        return rls_list
+        try:
+            rls_list_resp = requests.get(
+                url='https://api.github.com/repos/langbot-app/LangBot/releases',
+                proxies=self.ap.proxy_mgr.get_forward_proxies(),
+                timeout=5,
+            )
+            rls_list_resp.raise_for_status()  # 检查请求是否成功
+            rls_list = rls_list_resp.json()
+            return rls_list
+        except Exception as e:
+            self.ap.logger.warning(f"获取发行列表失败: {e}")
+            pass
+        return []
 
     async def update_all(self):
         """检查更新并下载源码"""

pkg/vector/mgr.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 from ..core import app
 from .vdb import VectorDatabase
 from .vdbs.chroma import ChromaVectorDatabase
+from .vdbs.qdrant import QdrantVectorDatabase
 
 
 class VectorDBManager:
@@ -13,6 +14,17 @@ class VectorDBManager:
         self.ap = ap
 
     async def initialize(self):
-        # 初始化 Chroma 向量数据库（可扩展为多种实现）
-        if self.vector_db is None:
+        kb_config = self.ap.instance_config.data.get('vdb')
+        if kb_config:
+            if kb_config.get('use') == 'chroma':
+                self.vector_db = ChromaVectorDatabase(self.ap)
+                self.ap.logger.info('Initialized Chroma vector database backend.')
+            elif kb_config.get('use') == 'qdrant':
+                self.vector_db = QdrantVectorDatabase(self.ap)
+                self.ap.logger.info('Initialized Qdrant vector database backend.')
+            else:
+                self.vector_db = ChromaVectorDatabase(self.ap)
+                self.ap.logger.warning('No valid vector database backend configured, defaulting to Chroma.')
+        else:
             self.vector_db = ChromaVectorDatabase(self.ap)
+            self.ap.logger.warning('No vector database backend configured, defaulting to Chroma.')

pkg/vector/vdb.py

@@ -14,24 +14,25 @@ class VectorDatabase(abc.ABC):
         metadatas: list[dict[str, Any]],
         documents: list[str],
     ) -> None:
-        """向指定 collection 添加向量数据。"""
+        """Add vector data to the specified collection."""
         pass
 
     @abc.abstractmethod
     async def search(self, collection: str, query_embedding: np.ndarray, k: int = 5) -> Dict[str, Any]:
-        """在指定 collection 中检索最相似的向量。"""
+        """Search for the most similar vectors in the specified collection."""
         pass
 
     @abc.abstractmethod
     async def delete_by_file_id(self, collection: str, file_id: str) -> None:
-        """根据 file_id 删除指定 collection 中的向量。"""
+        """Delete vectors from the specified collection by file_id."""
         pass
 
     @abc.abstractmethod
     async def get_or_create_collection(self, collection: str):
-        """获取或创建 collection。"""
+        """Get or create collection."""
         pass
 
     @abc.abstractmethod
     async def delete_collection(self, collection: str):
+        """Delete collection."""
         pass

pkg/vector/vdbs/qdrant.py

@@ -0,0 +1,104 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List
+
+from qdrant_client import AsyncQdrantClient, models
+from pkg.core import app
+from pkg.vector.vdb import VectorDatabase
+
+
+class QdrantVectorDatabase(VectorDatabase):
+    def __init__(self, ap: app.Application):
+        self.ap = ap
+        url = self.ap.instance_config.data['vdb']['qdrant']['url']
+        host = self.ap.instance_config.data['vdb']['qdrant']['host']
+        port = self.ap.instance_config.data['vdb']['qdrant']['port']
+        api_key = self.ap.instance_config.data['vdb']['qdrant']['api_key']
+
+        if url:
+            self.client = AsyncQdrantClient(url=url, api_key=api_key)
+        else:
+            self.client = AsyncQdrantClient(host=host, port=int(port), api_key=api_key)
+
+        self._collections: set[str] = set()
+
+    async def _ensure_collection(self, collection: str, vector_size: int) -> None:
+        if collection in self._collections:
+            return
+
+        exists = await self.client.collection_exists(collection)
+        if exists:
+            self._collections.add(collection)
+            return
+
+        await self.client.create_collection(
+            collection_name=collection,
+            vectors_config=models.VectorParams(size=vector_size, distance=models.Distance.COSINE),
+        )
+        self._collections.add(collection)
+        self.ap.logger.info(f"Qdrant collection '{collection}' created with dim={vector_size}.")
+
+    async def get_or_create_collection(self, collection: str):
+        # Qdrant requires vector size to create a collection; no-op here.
+        pass
+
+    async def add_embeddings(
+        self,
+        collection: str,
+        ids: List[str],
+        embeddings_list: List[List[float]],
+        metadatas: List[Dict[str, Any]],
+    ) -> None:
+        if not embeddings_list:
+            return
+
+        await self._ensure_collection(collection, len(embeddings_list[0]))
+
+        points = [
+            models.PointStruct(id=ids[i], vector=embeddings_list[i], payload=metadatas[i]) for i in range(len(ids))
+        ]
+        await self.client.upsert(collection_name=collection, points=points)
+        self.ap.logger.info(f"Added {len(ids)} embeddings to Qdrant collection '{collection}'.")
+
+    async def search(self, collection: str, query_embedding: list[float], k: int = 5) -> dict[str, Any]:
+        exists = await self.client.collection_exists(collection)
+        if not exists:
+            return {'ids': [[]], 'metadatas': [[]], 'distances': [[]]}
+
+        hits = (
+            await self.client.query_points(
+                collection_name=collection,
+                query=query_embedding,
+                limit=k,
+                with_payload=True,
+            )
+        ).points
+        ids = [str(hit.id) for hit in hits]
+        metadatas = [hit.payload or {} for hit in hits]
+        # Qdrant's score is similarity; convert to a pseudo-distance for consistency
+        distances = [1 - float(hit.score) if hit.score is not None else 1.0 for hit in hits]
+        results = {'ids': [ids], 'metadatas': [metadatas], 'distances': [distances]}
+
+        self.ap.logger.info(f"Qdrant search in '{collection}' returned {len(results.get('ids', [[]])[0])} results.")
+        return results
+
+    async def delete_by_file_id(self, collection: str, file_id: str) -> None:
+        exists = await self.client.collection_exists(collection)
+        if not exists:
+            return
+
+        await self.client.delete(
+            collection_name=collection,
+            points_selector=models.Filter(
+                must=[models.FieldCondition(key='file_id', match=models.MatchValue(value=file_id))]
+            ),
+        )
+        self.ap.logger.info(f"Deleted embeddings from Qdrant collection '{collection}' with file_id: {file_id}")
+
+    async def delete_collection(self, collection: str):
+        try:
+            await self.client.delete_collection(collection)
+            self._collections.discard(collection)
+            self.ap.logger.info(f"Qdrant collection '{collection}' deleted.")
+        except Exception:
+            self.ap.logger.warning(f"Qdrant collection '{collection}' not found.")

pyproject.toml

@@ -1,9 +1,9 @@
 [project]
 name = "langbot"
-version = "4.3.0.beta4"
-description = "高稳定、支持扩展、多模态 - 大模型原生即时通信机器人平台"
+version = "4.3.7"
+description = "Easy-to-use global IM bot platform designed for LLM era"
 readme = "README.md"
-requires-python = ">=3.10.1"
+requires-python = ">=3.10.1,<4.0"
 dependencies = [
     "aiocqhttp>=1.4.4",
     "aiofiles>=24.1.0",
@@ -19,7 +19,7 @@ dependencies = [
     "dashscope>=1.23.2",
     "dingtalk-stream>=0.24.0",
     "discord-py>=2.5.2",
-    "pynacl>=1.5.0",  # Required for Discord voice support
+    "pynacl>=1.5.0", # Required for Discord voice support
     "gewechat-client>=0.1.5",
     "lark-oapi>=1.4.15",
     "mcp>=1.8.1",
@@ -61,7 +61,11 @@ dependencies = [
     "html2text>=2024.2.26",
     "langchain>=0.2.0",
     "chromadb>=0.4.24",
-    "langbot-plugin==0.1.1b5",
+    "qdrant-client (>=1.15.1,<2.0.0)",
+    "langbot-plugin==0.1.4",
+    "asyncpg>=0.30.0",
+    "line-bot-sdk>=3.19.0",
+    "tboxsdk>=0.0.10",
 ]
 keywords = [
     "bot",
@@ -99,6 +103,7 @@ dev = [
     "pre-commit>=4.2.0",
     "pytest>=8.4.1",
     "pytest-asyncio>=1.0.0",
+    "pytest-cov>=7.0.0",
     "ruff>=0.11.9",
 ]
 

pytest.ini

@@ -0,0 +1,39 @@
+[pytest]
+# Test discovery patterns
+python_files = test_*.py
+python_classes = Test*
+python_functions = test_*
+
+# Test paths
+testpaths = tests
+
+# Asyncio configuration
+asyncio_mode = auto
+
+# Output options
+addopts =
+    -v
+    --strict-markers
+    --tb=short
+    --disable-warnings
+
+# Markers
+markers =
+    asyncio: mark test as async
+    unit: mark test as unit test
+    integration: mark test as integration test
+    slow: mark test as slow running
+
+# Coverage options (when using pytest-cov)
+[coverage:run]
+source = pkg
+omit =
+    */tests/*
+    */test_*.py
+    */__pycache__/*
+    */site-packages/*
+
+[coverage:report]
+precision = 2
+show_missing = True
+skip_covered = False

run_tests.sh

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Script to run all unit tests
+# This script helps avoid circular import issues by setting up the environment properly
+
+set -e
+
+echo "Setting up test environment..."
+
+# Activate virtual environment if it exists
+if [ -d ".venv" ]; then
+    source .venv/bin/activate
+fi
+
+# Check if pytest is installed
+if ! command -v pytest &> /dev/null; then
+    echo "Installing test dependencies..."
+    pip install pytest pytest-asyncio pytest-cov
+fi
+
+echo "Running all unit tests..."
+
+# Run tests with coverage
+pytest tests/unit_tests/ -v --tb=short \
+    --cov=pkg \
+    --cov-report=xml \
+    "$@"
+
+echo ""
+echo "Test run complete!"
+echo "Coverage report saved to coverage.xml"

templates/config.yaml

@@ -2,6 +2,7 @@ admins: []
 api:
     port: 5300
 command:
+    enable: true
     prefix:
     - '!'
     - ！
@@ -19,6 +20,25 @@ system:
     jwt:
         expire: 604800
         secret: ''
+database:
+    use: sqlite
+    sqlite:
+        path: 'data/langbot.db'
+    postgresql:
+        host: '127.0.0.1'
+        port: 5432
+        user: 'postgres'
+        password: 'postgres'
+        database: 'postgres'
+vdb:
+    use: chroma
+    qdrant:
+        url: ''
+        host: localhost
+        port: 6333
+        api_key: ''
 plugin:
+    enable: true
     runtime_ws_url: 'ws://langbot_plugin_runtime:5400/control/ws'
+    enable_marketplace: true
     cloud_service_url: 'https://space.langbot.app'

templates/default-pipeline-config.json

@@ -70,12 +70,20 @@
             "header-value": "",
             "timeout": 120,
             "output-key": "response"
+        },
+        "langflow-api": {
+            "base-url": "http://localhost:7860",
+            "api-key": "your-api-key",
+            "flow-id": "your-flow-id",
+            "input-type": "chat",
+            "output-type": "chat",
+            "tweaks": "{}"
         }
     },
     "output": {
         "long-text-processing": {
             "threshold": 1000,
-            "strategy": "forward",
+            "strategy": "none",
             "font-path": ""
         },
         "force-delay": {

templates/metadata/pipeline/ai.yaml

@@ -23,6 +23,10 @@ stages:
             label:
               en_US: Local Agent
               zh_Hans: 内置 Agent
+          - name: tbox-app-api
+            label:
+              en_US: Tbox App API
+              zh_Hans: 蚂蚁百宝箱平台 API
           - name: dify-service-api
             label:
               en_US: Dify Service API
@@ -35,6 +39,10 @@ stages:
             label:
               en_US: n8n Workflow API
               zh_Hans: n8n 工作流 API
+          - name: langflow-api
+            label:
+              en_US: Langflow API
+              zh_Hans: Langflow API
   - name: local-agent
     label:
       en_US: Local Agent
@@ -78,6 +86,26 @@ stages:
         type: knowledge-base-selector
         required: false
         default: ''
+  - name: tbox-app-api
+    label:
+      en_US: Tbox App API
+      zh_Hans: 蚂蚁百宝箱平台 API
+    description:
+      en_US: Configure the Tbox App API of the pipeline
+      zh_Hans: 配置蚂蚁百宝箱平台 API
+    config:
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        type: string
+        required: true
+      - name: app-id
+        label:
+          en_US: App ID
+          zh_Hans: 应用 ID
+        type: string
+        required: true
   - name: dify-service-api
     label:
       en_US: Dify Service API
@@ -288,4 +316,68 @@ stages:
         type: string
         required: false
         default: 'response'
-  
+  - name: langflow-api
+    label:
+      en_US: Langflow API
+      zh_Hans: Langflow API
+    description:
+      en_US: Configure the Langflow API of the pipeline, call the Langflow flow through the `Simplified Run Flow` interface
+      zh_Hans: 配置 Langflow API，通过 `Simplified Run Flow` 接口调用 Langflow 的流程
+    config:
+      - name: base-url
+        label:
+          en_US: Base URL
+          zh_Hans: 基础 URL
+        description:
+          en_US: The base URL of the Langflow server
+          zh_Hans: Langflow 服务器的基础 URL
+        type: string
+        required: true
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        description:
+          en_US: The API key for the Langflow server
+          zh_Hans: Langflow 服务器的 API 密钥
+        type: string
+        required: true
+      - name: flow-id
+        label:
+          en_US: Flow ID
+          zh_Hans: 流程 ID
+        description:
+          en_US: The ID of the flow to run
+          zh_Hans: 要运行的流程 ID
+        type: string
+        required: true
+      - name: input-type
+        label:
+          en_US: Input Type
+          zh_Hans: 输入类型
+        description:
+          en_US: The input type for the flow
+          zh_Hans: 流程的输入类型
+        type: string
+        required: false
+        default: 'chat'
+      - name: output-type
+        label:
+          en_US: Output Type
+          zh_Hans: 输出类型
+        description:
+          en_US: The output type for the flow
+          zh_Hans: 流程的输出类型
+        type: string
+        required: false
+        default: 'chat'
+      - name: tweaks
+        label:
+          en_US: Tweaks
+          zh_Hans: 调整参数
+        description:
+          en_US: Optional tweaks to apply to the flow
+          zh_Hans: 可选的流程调整参数
+        type: json
+        required: false
+        default: '{}'

templates/metadata/pipeline/output.yaml

@@ -27,7 +27,7 @@ stages:
           zh_Hans: 长文本的处理策略
         type: select
         required: true
-        default: forward
+        default: none
         options:
           - name: forward
             label:
@@ -37,6 +37,10 @@ stages:
             label:
               en_US: Convert to Image
               zh_Hans: 转换为图片
+          - name: none
+            label:
+              en_US: None
+              zh_Hans: 不处理
       - name: font-path
         label:
           en_US: Font Path

templates/metadata/pipeline/trigger.yaml

@@ -79,6 +79,9 @@ stages:
         label:
           en_US: Blacklist
           zh_Hans: 黑名单
+        description:
+          en_US: Sessions in the blacklist will be ignored, the format is `{launcher_type}_{launcher_id}`（remove quotes）, for example `person_123` matches private chat, `group_456` matches group chat, `person_*` matches all private chats, `group_*` matches all group chats, `*_123` matches private and group chats with user ID 123
+          zh_Hans: 黑名单中的会话将被忽略；会话格式：`{launcher_type}_{launcher_id}`（删除引号），例如 `person_123` 匹配私聊会话，`group_456` 匹配群聊会话；`person_*` 匹配所有私聊会话，`group_*` 匹配所有群聊会话；`*_123` 匹配用户 ID 为 123 的私聊和群聊消息
         type: array[string]
         required: true
         default: []
@@ -86,6 +89,9 @@ stages:
         label:
           en_US: Whitelist
           zh_Hans: 白名单
+        description:
+          en_US: Only respond to sessions in the whitelist, the format is `{launcher_type}_{launcher_id}`（remove quotes）, for example `person_123` matches private chat, `group_456` matches group chat, `person_*` matches all private chats, `group_*` matches all group chats, `*_123` matches private and group chats with user ID 123
+          zh_Hans: 仅响应白名单中的会话；会话格式：`{launcher_type}_{launcher_id}`（删除引号），例如 `person_123` 匹配私聊会话，`group_456` 匹配群聊会话；`person_*` 匹配所有私聊会话，`group_*` 匹配所有群聊会话；`*_123` 匹配用户 ID 为 123 的私聊和群聊消息
         type: array[string]
         required: true
         default: []

tests/README.md

@@ -0,0 +1,183 @@
+# LangBot Test Suite
+
+This directory contains the test suite for LangBot, with a focus on comprehensive unit testing of pipeline stages.
+
+## Important Note
+
+Due to circular import dependencies in the pipeline module structure, the test files use **lazy imports** via `importlib.import_module()` instead of direct imports. This ensures tests can run without triggering circular import errors.
+
+## Structure
+
+```
+tests/
+├── pipeline/                      # Pipeline stage tests
+│   ├── conftest.py               # Shared fixtures and test infrastructure
+│   ├── test_simple.py            # Basic infrastructure tests (always pass)
+│   ├── test_bansess.py           # BanSessionCheckStage tests
+│   ├── test_ratelimit.py         # RateLimit stage tests
+│   ├── test_preproc.py           # PreProcessor stage tests
+│   ├── test_respback.py          # SendResponseBackStage tests
+│   ├── test_resprule.py          # GroupRespondRuleCheckStage tests
+│   ├── test_pipelinemgr.py       # PipelineManager tests
+│   └── test_stages_integration.py # Integration tests
+└── README.md                      # This file
+```
+
+## Test Architecture
+
+### Fixtures (`conftest.py`)
+
+The test suite uses a centralized fixture system that provides:
+
+- **MockApplication**: Comprehensive mock of the Application object with all dependencies
+- **Mock objects**: Pre-configured mocks for Session, Conversation, Model, Adapter
+- **Sample data**: Ready-to-use Query objects, message chains, and configurations
+- **Helper functions**: Utilities for creating results and common assertions
+
+### Design Principles
+
+1. **Isolation**: Each test is independent and doesn't rely on external systems
+2. **Mocking**: All external dependencies are mocked to ensure fast, reliable tests
+3. **Coverage**: Tests cover happy paths, edge cases, and error conditions
+4. **Extensibility**: Easy to add new tests by reusing existing fixtures
+
+## Running Tests
+
+### Using the test runner script (recommended)
+```bash
+bash run_tests.sh
+```
+
+This script automatically:
+- Activates the virtual environment
+- Installs test dependencies if needed
+- Runs tests with coverage
+- Generates HTML coverage report
+
+### Manual test execution
+
+#### Run all tests
+```bash
+pytest tests/pipeline/
+```
+
+#### Run only simple tests (no imports, always pass)
+```bash
+pytest tests/pipeline/test_simple.py -v
+```
+
+#### Run specific test file
+```bash
+pytest tests/pipeline/test_bansess.py -v
+```
+
+#### Run with coverage
+```bash
+pytest tests/pipeline/ --cov=pkg/pipeline --cov-report=html
+```
+
+#### Run specific test
+```bash
+pytest tests/pipeline/test_bansess.py::test_bansess_whitelist_allow -v
+```
+
+### Known Issues
+
+Some tests may encounter circular import errors. This is a known issue with the current module structure. The test infrastructure is designed to work around this using lazy imports, but if you encounter issues:
+
+1. Make sure you're running from the project root directory
+2. Ensure the virtual environment is activated
+3. Try running `test_simple.py` first to verify the test infrastructure works
+
+## CI/CD Integration
+
+Tests are automatically run on:
+- Pull request opened
+- Pull request marked ready for review
+- Push to PR branch
+- Push to master/develop branches
+
+The workflow runs tests on Python 3.10, 3.11, and 3.12 to ensure compatibility.
+
+## Adding New Tests
+
+### 1. For a new pipeline stage
+
+Create a new test file `test_<stage_name>.py`:
+
+```python
+"""
+<StageName> stage unit tests
+"""
+
+import pytest
+from pkg.pipeline.<module>.<stage> import <StageClass>
+from pkg.pipeline import entities as pipeline_entities
+
+
+@pytest.mark.asyncio
+async def test_stage_basic_flow(mock_app, sample_query):
+    """Test basic flow"""
+    stage = <StageClass>(mock_app)
+    await stage.initialize({})
+
+    result = await stage.process(sample_query, '<StageName>')
+
+    assert result.result_type == pipeline_entities.ResultType.CONTINUE
+```
+
+### 2. For additional fixtures
+
+Add new fixtures to `conftest.py`:
+
+```python
+@pytest.fixture
+def my_custom_fixture():
+    """Description of fixture"""
+    return create_test_data()
+```
+
+### 3. For test data
+
+Use the helper functions in `conftest.py`:
+
+```python
+from tests.pipeline.conftest import create_stage_result, assert_result_continue
+
+result = create_stage_result(
+    result_type=pipeline_entities.ResultType.CONTINUE,
+    query=sample_query
+)
+
+assert_result_continue(result)
+```
+
+## Best Practices
+
+1. **Test naming**: Use descriptive names that explain what's being tested
+2. **Arrange-Act-Assert**: Structure tests clearly with setup, execution, and verification
+3. **One assertion per test**: Focus each test on a single behavior
+4. **Mock appropriately**: Mock external dependencies, not the code under test
+5. **Use fixtures**: Reuse common test data through fixtures
+6. **Document tests**: Add docstrings explaining what each test validates
+
+## Troubleshooting
+
+### Import errors
+Make sure you've installed the package in development mode:
+```bash
+uv pip install -e .
+```
+
+### Async test failures
+Ensure you're using `@pytest.mark.asyncio` decorator for async tests.
+
+### Mock not working
+Check that you're mocking at the right level and using `AsyncMock` for async functions.
+
+## Future Enhancements
+
+- [ ] Add integration tests for full pipeline execution
+- [ ] Add performance benchmarks
+- [ ] Add mutation testing for better coverage quality
+- [ ] Add property-based testing with Hypothesis

tests/unit_tests/pipeline/conftest.py

@@ -0,0 +1,251 @@
+"""
+Shared test fixtures and configuration
+
+This file provides infrastructure for all pipeline tests, including:
+- Mock object factories
+- Test fixtures
+- Common test helper functions
+"""
+
+from __future__ import annotations
+
+import pytest
+from unittest.mock import AsyncMock, MagicMock, Mock
+from typing import Any
+
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+import langbot_plugin.api.entities.builtin.provider.session as provider_session
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+
+from pkg.pipeline import entities as pipeline_entities
+
+
+class MockApplication:
+    """Mock Application object providing all basic dependencies needed by stages"""
+
+    def __init__(self):
+        self.logger = self._create_mock_logger()
+        self.sess_mgr = self._create_mock_session_manager()
+        self.model_mgr = self._create_mock_model_manager()
+        self.tool_mgr = self._create_mock_tool_manager()
+        self.plugin_connector = self._create_mock_plugin_connector()
+        self.persistence_mgr = self._create_mock_persistence_manager()
+        self.query_pool = self._create_mock_query_pool()
+        self.instance_config = self._create_mock_instance_config()
+        self.task_mgr = self._create_mock_task_manager()
+
+    def _create_mock_logger(self):
+        logger = Mock()
+        logger.debug = Mock()
+        logger.info = Mock()
+        logger.error = Mock()
+        logger.warning = Mock()
+        return logger
+
+    def _create_mock_session_manager(self):
+        sess_mgr = AsyncMock()
+        sess_mgr.get_session = AsyncMock()
+        sess_mgr.get_conversation = AsyncMock()
+        return sess_mgr
+
+    def _create_mock_model_manager(self):
+        model_mgr = AsyncMock()
+        model_mgr.get_model_by_uuid = AsyncMock()
+        return model_mgr
+
+    def _create_mock_tool_manager(self):
+        tool_mgr = AsyncMock()
+        tool_mgr.get_all_tools = AsyncMock(return_value=[])
+        return tool_mgr
+
+    def _create_mock_plugin_connector(self):
+        plugin_connector = AsyncMock()
+        plugin_connector.emit_event = AsyncMock()
+        return plugin_connector
+
+    def _create_mock_persistence_manager(self):
+        persistence_mgr = AsyncMock()
+        persistence_mgr.execute_async = AsyncMock()
+        return persistence_mgr
+
+    def _create_mock_query_pool(self):
+        query_pool = Mock()
+        query_pool.cached_queries = {}
+        query_pool.queries = []
+        query_pool.condition = AsyncMock()
+        return query_pool
+
+    def _create_mock_instance_config(self):
+        instance_config = Mock()
+        instance_config.data = {
+            'command': {'prefix': ['/', '!'], 'enable': True},
+            'concurrency': {'pipeline': 10},
+        }
+        return instance_config
+
+    def _create_mock_task_manager(self):
+        task_mgr = Mock()
+        task_mgr.create_task = Mock()
+        return task_mgr
+
+
+@pytest.fixture
+def mock_app():
+    """Provides Mock Application instance"""
+    return MockApplication()
+
+
+@pytest.fixture
+def mock_session():
+    """Provides Mock Session object"""
+    session = Mock()
+    session.launcher_type = provider_session.LauncherTypes.PERSON
+    session.launcher_id = 12345
+    session._semaphore = AsyncMock()
+    session._semaphore.locked = Mock(return_value=False)
+    session._semaphore.acquire = AsyncMock()
+    session._semaphore.release = AsyncMock()
+    return session
+
+
+@pytest.fixture
+def mock_conversation():
+    """Provides Mock Conversation object"""
+    conversation = Mock()
+    conversation.uuid = 'test-conversation-uuid'
+
+    # Create mock prompt with copy method
+    mock_prompt = Mock()
+    mock_prompt.messages = []
+    mock_prompt.copy = Mock(return_value=Mock(messages=[]))
+    conversation.prompt = mock_prompt
+
+    # Create mock messages list with copy method
+    mock_messages = Mock()
+    mock_messages.copy = Mock(return_value=[])
+    conversation.messages = mock_messages
+
+    return conversation
+
+
+@pytest.fixture
+def mock_model():
+    """Provides Mock Model object"""
+    model = Mock()
+    model.model_entity = Mock()
+    model.model_entity.uuid = 'test-model-uuid'
+    model.model_entity.abilities = ['func_call', 'vision']
+    return model
+
+
+@pytest.fixture
+def mock_adapter():
+    """Provides Mock Adapter object"""
+    adapter = AsyncMock()
+    adapter.is_stream_output_supported = AsyncMock(return_value=False)
+    adapter.reply_message = AsyncMock()
+    adapter.reply_message_chunk = AsyncMock()
+    return adapter
+
+
+@pytest.fixture
+def sample_message_chain():
+    """Provides sample message chain"""
+    return platform_message.MessageChain(
+        [
+            platform_message.Plain(text='Hello, this is a test message'),
+        ]
+    )
+
+
+@pytest.fixture
+def sample_message_event(sample_message_chain):
+    """Provides sample message event"""
+    event = Mock()
+    event.sender = Mock()
+    event.sender.id = 12345
+    event.time = 1609459200  # 2021-01-01 00:00:00
+    return event
+
+
+@pytest.fixture
+def sample_query(sample_message_chain, sample_message_event, mock_adapter):
+    """Provides sample Query object - using model_construct to bypass validation"""
+    import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+
+    # Use model_construct to bypass Pydantic validation for test purposes
+    query = pipeline_query.Query.model_construct(
+        query_id='test-query-id',
+        launcher_type=provider_session.LauncherTypes.PERSON,
+        launcher_id=12345,
+        sender_id=12345,
+        message_chain=sample_message_chain,
+        message_event=sample_message_event,
+        adapter=mock_adapter,
+        pipeline_uuid='test-pipeline-uuid',
+        bot_uuid='test-bot-uuid',
+        pipeline_config={
+            'ai': {
+                'runner': {'runner': 'local-agent'},
+                'local-agent': {'model': 'test-model-uuid', 'prompt': 'test-prompt'},
+            },
+            'output': {'misc': {'at-sender': False, 'quote-origin': False}},
+            'trigger': {'misc': {'combine-quote-message': False}},
+        },
+        session=None,
+        prompt=None,
+        messages=[],
+        user_message=None,
+        use_funcs=[],
+        use_llm_model_uuid=None,
+        variables={},
+        resp_messages=[],
+        resp_message_chain=None,
+        current_stage_name=None
+    )
+    return query
+
+
+@pytest.fixture
+def sample_pipeline_config():
+    """Provides sample pipeline configuration"""
+    return {
+        'ai': {
+            'runner': {'runner': 'local-agent'},
+            'local-agent': {'model': 'test-model-uuid', 'prompt': 'test-prompt'},
+        },
+        'output': {'misc': {'at-sender': False, 'quote-origin': False}},
+        'trigger': {'misc': {'combine-quote-message': False}},
+        'ratelimit': {'enable': True, 'algo': 'fixwin', 'window': 60, 'limit': 10},
+    }
+
+
+def create_stage_result(
+    result_type: pipeline_entities.ResultType,
+    query: pipeline_query.Query,
+    user_notice: str = '',
+    console_notice: str = '',
+    debug_notice: str = '',
+    error_notice: str = '',
+) -> pipeline_entities.StageProcessResult:
+    """Helper function to create stage process result"""
+    return pipeline_entities.StageProcessResult(
+        result_type=result_type,
+        new_query=query,
+        user_notice=user_notice,
+        console_notice=console_notice,
+        debug_notice=debug_notice,
+        error_notice=error_notice,
+    )
+
+
+def assert_result_continue(result: pipeline_entities.StageProcessResult):
+    """Assert result is CONTINUE type"""
+    assert result.result_type == pipeline_entities.ResultType.CONTINUE
+
+
+def assert_result_interrupt(result: pipeline_entities.StageProcessResult):
+    """Assert result is INTERRUPT type"""
+    assert result.result_type == pipeline_entities.ResultType.INTERRUPT

tests/unit_tests/pipeline/test_bansess.py

@@ -0,0 +1,189 @@
+"""
+BanSessionCheckStage unit tests
+
+Tests the actual BanSessionCheckStage implementation from pkg.pipeline.bansess
+"""
+
+import pytest
+from unittest.mock import Mock
+from importlib import import_module
+import langbot_plugin.api.entities.builtin.provider.session as provider_session
+
+
+def get_modules():
+    """Lazy import to ensure proper initialization order"""
+    # Import pipelinemgr first to trigger proper stage registration
+    pipelinemgr = import_module('pkg.pipeline.pipelinemgr')
+    bansess = import_module('pkg.pipeline.bansess.bansess')
+    entities = import_module('pkg.pipeline.entities')
+    return bansess, entities
+
+
+@pytest.mark.asyncio
+async def test_whitelist_allow(mock_app, sample_query):
+    """Test whitelist allows matching session"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'whitelist',
+                'whitelist': ['person_12345']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+    assert result.new_query == sample_query
+
+
+@pytest.mark.asyncio
+async def test_whitelist_deny(mock_app, sample_query):
+    """Test whitelist denies non-matching session"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '99999'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'whitelist',
+                'whitelist': ['person_12345']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.INTERRUPT
+
+
+@pytest.mark.asyncio
+async def test_blacklist_allow(mock_app, sample_query):
+    """Test blacklist allows non-matching session"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'blacklist',
+                'blacklist': ['person_99999']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+
+
+@pytest.mark.asyncio
+async def test_blacklist_deny(mock_app, sample_query):
+    """Test blacklist denies matching session"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'blacklist',
+                'blacklist': ['person_12345']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.INTERRUPT
+
+
+@pytest.mark.asyncio
+async def test_wildcard_group(mock_app, sample_query):
+    """Test group wildcard matching"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.GROUP
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'whitelist',
+                'whitelist': ['group_*']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+
+
+@pytest.mark.asyncio
+async def test_wildcard_person(mock_app, sample_query):
+    """Test person wildcard matching"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'whitelist',
+                'whitelist': ['person_*']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+
+
+@pytest.mark.asyncio
+async def test_user_id_wildcard(mock_app, sample_query):
+    """Test user ID wildcard matching (*_id format)"""
+    bansess, entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.sender_id = '67890'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'access-control': {
+                'mode': 'whitelist',
+                'whitelist': ['*_67890']
+            }
+        }
+    }
+
+    stage = bansess.BanSessionCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'BanSessionCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE

tests/unit_tests/pipeline/test_pipelinemgr.py

@@ -0,0 +1,166 @@
+"""
+PipelineManager unit tests
+"""
+
+import pytest
+from unittest.mock import AsyncMock, Mock
+from importlib import import_module
+import sqlalchemy
+
+
+def get_pipelinemgr_module():
+    return import_module('pkg.pipeline.pipelinemgr')
+
+
+def get_stage_module():
+    return import_module('pkg.pipeline.stage')
+
+
+def get_entities_module():
+    return import_module('pkg.pipeline.entities')
+
+
+def get_persistence_pipeline_module():
+    return import_module('pkg.entity.persistence.pipeline')
+
+
+@pytest.mark.asyncio
+async def test_pipeline_manager_initialize(mock_app):
+    """Test pipeline manager initialization"""
+    pipelinemgr = get_pipelinemgr_module()
+
+    mock_app.persistence_mgr.execute_async = AsyncMock(return_value=Mock(all=Mock(return_value=[])))
+
+    manager = pipelinemgr.PipelineManager(mock_app)
+    await manager.initialize()
+
+    assert manager.stage_dict is not None
+    assert len(manager.pipelines) == 0
+
+
+@pytest.mark.asyncio
+async def test_load_pipeline(mock_app):
+    """Test loading a single pipeline"""
+    pipelinemgr = get_pipelinemgr_module()
+    persistence_pipeline = get_persistence_pipeline_module()
+
+    mock_app.persistence_mgr.execute_async = AsyncMock(return_value=Mock(all=Mock(return_value=[])))
+
+    manager = pipelinemgr.PipelineManager(mock_app)
+    await manager.initialize()
+
+    # Create test pipeline entity
+    pipeline_entity = Mock(spec=persistence_pipeline.LegacyPipeline)
+    pipeline_entity.uuid = 'test-uuid'
+    pipeline_entity.stages = []
+    pipeline_entity.config = {'test': 'config'}
+
+    await manager.load_pipeline(pipeline_entity)
+
+    assert len(manager.pipelines) == 1
+    assert manager.pipelines[0].pipeline_entity.uuid == 'test-uuid'
+
+
+@pytest.mark.asyncio
+async def test_get_pipeline_by_uuid(mock_app):
+    """Test getting pipeline by UUID"""
+    pipelinemgr = get_pipelinemgr_module()
+    persistence_pipeline = get_persistence_pipeline_module()
+
+    mock_app.persistence_mgr.execute_async = AsyncMock(return_value=Mock(all=Mock(return_value=[])))
+
+    manager = pipelinemgr.PipelineManager(mock_app)
+    await manager.initialize()
+
+    # Create and add test pipeline
+    pipeline_entity = Mock(spec=persistence_pipeline.LegacyPipeline)
+    pipeline_entity.uuid = 'test-uuid'
+    pipeline_entity.stages = []
+    pipeline_entity.config = {}
+
+    await manager.load_pipeline(pipeline_entity)
+
+    # Test retrieval
+    result = await manager.get_pipeline_by_uuid('test-uuid')
+    assert result is not None
+    assert result.pipeline_entity.uuid == 'test-uuid'
+
+    # Test non-existent UUID
+    result = await manager.get_pipeline_by_uuid('non-existent')
+    assert result is None
+
+
+@pytest.mark.asyncio
+async def test_remove_pipeline(mock_app):
+    """Test removing a pipeline"""
+    pipelinemgr = get_pipelinemgr_module()
+    persistence_pipeline = get_persistence_pipeline_module()
+
+    mock_app.persistence_mgr.execute_async = AsyncMock(return_value=Mock(all=Mock(return_value=[])))
+
+    manager = pipelinemgr.PipelineManager(mock_app)
+    await manager.initialize()
+
+    # Create and add test pipeline
+    pipeline_entity = Mock(spec=persistence_pipeline.LegacyPipeline)
+    pipeline_entity.uuid = 'test-uuid'
+    pipeline_entity.stages = []
+    pipeline_entity.config = {}
+
+    await manager.load_pipeline(pipeline_entity)
+    assert len(manager.pipelines) == 1
+
+    # Remove pipeline
+    await manager.remove_pipeline('test-uuid')
+    assert len(manager.pipelines) == 0
+
+
+@pytest.mark.asyncio
+async def test_runtime_pipeline_execute(mock_app, sample_query):
+    """Test runtime pipeline execution"""
+    pipelinemgr = get_pipelinemgr_module()
+    stage = get_stage_module()
+    persistence_pipeline = get_persistence_pipeline_module()
+
+    # Create mock stage that returns a simple result dict (avoiding Pydantic validation)
+    mock_result = Mock()
+    mock_result.result_type = Mock()
+    mock_result.result_type.value = 'CONTINUE'  # Simulate enum value
+    mock_result.new_query = sample_query
+    mock_result.user_notice = ''
+    mock_result.console_notice = ''
+    mock_result.debug_notice = ''
+    mock_result.error_notice = ''
+
+    # Make it look like ResultType.CONTINUE
+    from unittest.mock import MagicMock
+    CONTINUE = MagicMock()
+    CONTINUE.__eq__ = lambda self, other: True  # Always equal for comparison
+    mock_result.result_type = CONTINUE
+
+    mock_stage = Mock(spec=stage.PipelineStage)
+    mock_stage.process = AsyncMock(return_value=mock_result)
+
+    # Create stage container
+    stage_container = pipelinemgr.StageInstContainer(inst_name='TestStage', inst=mock_stage)
+
+    # Create pipeline entity
+    pipeline_entity = Mock(spec=persistence_pipeline.LegacyPipeline)
+    pipeline_entity.config = sample_query.pipeline_config
+
+    # Create runtime pipeline
+    runtime_pipeline = pipelinemgr.RuntimePipeline(mock_app, pipeline_entity, [stage_container])
+
+    # Mock plugin connector
+    event_ctx = Mock()
+    event_ctx.is_prevented_default = Mock(return_value=False)
+    mock_app.plugin_connector.emit_event = AsyncMock(return_value=event_ctx)
+
+    # Add query to cached_queries to prevent KeyError in finally block
+    mock_app.query_pool.cached_queries[sample_query.query_id] = sample_query
+
+    # Execute pipeline
+    await runtime_pipeline.run(sample_query)
+
+    # Verify stage was called
+    mock_stage.process.assert_called_once()

tests/unit_tests/pipeline/test_ratelimit.py

@@ -0,0 +1,109 @@
+"""
+RateLimit stage unit tests
+
+Tests the actual RateLimit implementation from pkg.pipeline.ratelimit
+"""
+
+import pytest
+from unittest.mock import AsyncMock, Mock, patch
+from importlib import import_module
+import langbot_plugin.api.entities.builtin.provider.session as provider_session
+
+
+def get_modules():
+    """Lazy import to ensure proper initialization order"""
+    # Import pipelinemgr first to trigger proper stage registration
+    pipelinemgr = import_module('pkg.pipeline.pipelinemgr')
+    ratelimit = import_module('pkg.pipeline.ratelimit.ratelimit')
+    entities = import_module('pkg.pipeline.entities')
+    algo_module = import_module('pkg.pipeline.ratelimit.algo')
+    return ratelimit, entities, algo_module
+
+
+@pytest.mark.asyncio
+async def test_require_access_allowed(mock_app, sample_query):
+    """Test RequireRateLimitOccupancy allows access when rate limit is not exceeded"""
+    ratelimit, entities, algo_module = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {}
+
+    # Create mock algorithm that allows access
+    mock_algo = Mock(spec=algo_module.ReteLimitAlgo)
+    mock_algo.require_access = AsyncMock(return_value=True)
+    mock_algo.initialize = AsyncMock()
+
+    stage = ratelimit.RateLimit(mock_app)
+
+    # Patch the algorithm selection to use our mock
+    with patch.object(algo_module, 'preregistered_algos', []):
+        stage.algo = mock_algo
+
+    result = await stage.process(sample_query, 'RequireRateLimitOccupancy')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+    assert result.new_query == sample_query
+    mock_algo.require_access.assert_called_once_with(
+        sample_query,
+        'person',
+        '12345'
+    )
+
+
+@pytest.mark.asyncio
+async def test_require_access_denied(mock_app, sample_query):
+    """Test RequireRateLimitOccupancy denies access when rate limit is exceeded"""
+    ratelimit, entities, algo_module = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {}
+
+    # Create mock algorithm that denies access
+    mock_algo = Mock(spec=algo_module.ReteLimitAlgo)
+    mock_algo.require_access = AsyncMock(return_value=False)
+    mock_algo.initialize = AsyncMock()
+
+    stage = ratelimit.RateLimit(mock_app)
+
+    # Patch the algorithm selection to use our mock
+    with patch.object(algo_module, 'preregistered_algos', []):
+        stage.algo = mock_algo
+
+    result = await stage.process(sample_query, 'RequireRateLimitOccupancy')
+
+    assert result.result_type == entities.ResultType.INTERRUPT
+    assert result.user_notice != ''
+    mock_algo.require_access.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_release_access(mock_app, sample_query):
+    """Test ReleaseRateLimitOccupancy releases rate limit occupancy"""
+    ratelimit, entities, algo_module = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {}
+
+    # Create mock algorithm
+    mock_algo = Mock(spec=algo_module.ReteLimitAlgo)
+    mock_algo.release_access = AsyncMock()
+    mock_algo.initialize = AsyncMock()
+
+    stage = ratelimit.RateLimit(mock_app)
+
+    # Patch the algorithm selection to use our mock
+    with patch.object(algo_module, 'preregistered_algos', []):
+        stage.algo = mock_algo
+
+    result = await stage.process(sample_query, 'ReleaseRateLimitOccupancy')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+    assert result.new_query == sample_query
+    mock_algo.release_access.assert_called_once_with(
+        sample_query,
+        'person',
+        '12345'
+    )

tests/unit_tests/pipeline/test_resprule.py

@@ -0,0 +1,171 @@
+"""
+GroupRespondRuleCheckStage unit tests
+
+Tests the actual GroupRespondRuleCheckStage implementation from pkg.pipeline.resprule
+"""
+
+import pytest
+from unittest.mock import AsyncMock, Mock
+from importlib import import_module
+import langbot_plugin.api.entities.builtin.provider.session as provider_session
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+
+
+def get_modules():
+    """Lazy import to ensure proper initialization order"""
+    # Import pipelinemgr first to trigger proper stage registration
+    pipelinemgr = import_module('pkg.pipeline.pipelinemgr')
+    resprule = import_module('pkg.pipeline.resprule.resprule')
+    entities = import_module('pkg.pipeline.entities')
+    rule = import_module('pkg.pipeline.resprule.rule')
+    rule_entities = import_module('pkg.pipeline.resprule.entities')
+    return resprule, entities, rule, rule_entities
+
+
+@pytest.mark.asyncio
+async def test_person_message_skip(mock_app, sample_query):
+    """Test person message skips rule check"""
+    resprule, entities, rule, rule_entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.PERSON
+    sample_query.pipeline_config = {
+        'trigger': {
+            'group-respond-rules': {}
+        }
+    }
+
+    stage = resprule.GroupRespondRuleCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+
+    result = await stage.process(sample_query, 'GroupRespondRuleCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+    assert result.new_query == sample_query
+
+
+@pytest.mark.asyncio
+async def test_group_message_no_match(mock_app, sample_query):
+    """Test group message with no matching rules"""
+    resprule, entities, rule, rule_entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.GROUP
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'group-respond-rules': {}
+        }
+    }
+
+    # Create mock rule matcher that doesn't match
+    mock_rule = Mock(spec=rule.GroupRespondRule)
+    mock_rule.match = AsyncMock(return_value=rule_entities.RuleJudgeResult(
+        matching=False,
+        replacement=sample_query.message_chain
+    ))
+
+    stage = resprule.GroupRespondRuleCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+    stage.rule_matchers = [mock_rule]
+
+    result = await stage.process(sample_query, 'GroupRespondRuleCheckStage')
+
+    assert result.result_type == entities.ResultType.INTERRUPT
+    assert result.new_query == sample_query
+    mock_rule.match.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_group_message_match(mock_app, sample_query):
+    """Test group message with matching rule"""
+    resprule, entities, rule, rule_entities = get_modules()
+
+    sample_query.launcher_type = provider_session.LauncherTypes.GROUP
+    sample_query.launcher_id = '12345'
+    sample_query.pipeline_config = {
+        'trigger': {
+            'group-respond-rules': {}
+        }
+    }
+
+    # Create new message chain after rule processing
+    new_chain = platform_message.MessageChain([
+        platform_message.Plain(text='Processed message')
+    ])
+
+    # Create mock rule matcher that matches
+    mock_rule = Mock(spec=rule.GroupRespondRule)
+    mock_rule.match = AsyncMock(return_value=rule_entities.RuleJudgeResult(
+        matching=True,
+        replacement=new_chain
+    ))
+
+    stage = resprule.GroupRespondRuleCheckStage(mock_app)
+    await stage.initialize(sample_query.pipeline_config)
+    stage.rule_matchers = [mock_rule]
+
+    result = await stage.process(sample_query, 'GroupRespondRuleCheckStage')
+
+    assert result.result_type == entities.ResultType.CONTINUE
+    assert result.new_query == sample_query
+    assert sample_query.message_chain == new_chain
+    mock_rule.match.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_atbot_rule_match(mock_app, sample_query):
+    """Test AtBotRule removes At component"""
+    resprule, entities, rule, rule_entities = get_modules()
+    atbot_module = import_module('pkg.pipeline.resprule.rules.atbot')
+
+    sample_query.launcher_type = provider_session.LauncherTypes.GROUP
+    sample_query.adapter.bot_account_id = '999'
+
+    # Create message chain with At component
+    message_chain = platform_message.MessageChain([
+        platform_message.At(target='999'),
+        platform_message.Plain(text='Hello bot')
+    ])
+    sample_query.message_chain = message_chain
+
+    atbot_rule = atbot_module.AtBotRule(mock_app)
+    await atbot_rule.initialize()
+
+    result = await atbot_rule.match(
+        str(message_chain),
+        message_chain,
+        {},
+        sample_query
+    )
+
+    assert result.matching is True
+    # At component should be removed
+    assert len(result.replacement.root) == 1
+    assert isinstance(result.replacement.root[0], platform_message.Plain)
+
+
+@pytest.mark.asyncio
+async def test_atbot_rule_no_match(mock_app, sample_query):
+    """Test AtBotRule when no At component present"""
+    resprule, entities, rule, rule_entities = get_modules()
+    atbot_module = import_module('pkg.pipeline.resprule.rules.atbot')
+
+    sample_query.launcher_type = provider_session.LauncherTypes.GROUP
+    sample_query.adapter.bot_account_id = '999'
+
+    # Create message chain without At component
+    message_chain = platform_message.MessageChain([
+        platform_message.Plain(text='Hello')
+    ])
+    sample_query.message_chain = message_chain
+
+    atbot_rule = atbot_module.AtBotRule(mock_app)
+    await atbot_rule.initialize()
+
+    result = await atbot_rule.match(
+        str(message_chain),
+        message_chain,
+        {},
+        sample_query
+    )
+
+    assert result.matching is False

tests/unit_tests/pipeline/test_simple.py

@@ -0,0 +1,40 @@
+"""
+Simple standalone tests to verify test infrastructure
+These tests don't import the actual pipeline code to avoid circular import issues
+"""
+
+import pytest
+from unittest.mock import Mock, AsyncMock
+
+
+def test_pytest_works():
+    """Verify pytest is working"""
+    assert True
+
+
+@pytest.mark.asyncio
+async def test_async_works():
+    """Verify async tests work"""
+    mock = AsyncMock(return_value=42)
+    result = await mock()
+    assert result == 42
+
+
+def test_mocks_work():
+    """Verify mocking works"""
+    mock = Mock()
+    mock.return_value = 'test'
+    assert mock() == 'test'
+
+
+def test_fixtures_work(mock_app):
+    """Verify fixtures are loaded"""
+    assert mock_app is not None
+    assert mock_app.logger is not None
+    assert mock_app.sess_mgr is not None
+
+
+def test_sample_query(sample_query):
+    """Verify sample query fixture works"""
+    assert sample_query.query_id == 'test-query-id'
+    assert sample_query.launcher_id == 12345