chore: release v3.4.6.1

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -11,9 +11,12 @@ body:
         - 其他（或暂未使用）
         - Nakuru（go-cqhttp）
         - aiocqhttp（使用 OneBot 协议接入的）
-        - qq-botpy（QQ官方API）
+        - qq-botpy（QQ官方API WebSocket）
+        - qqofficial（QQ官方API Webhook）
         - lark（飞书）
         - wecom（企业微信）
+        - gewechat（个人微信）
+        - discord
     validations:
       required: true
   - type: input

README.md

@@ -26,11 +26,14 @@
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
  ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=%E4%BD%BF%E7%94%A8%E9%87%8F%EF%BC%887%E6%97%A5%EF%BC%89)
 <img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
+
+[简体中文](README.md) / [English](README_EN.md)
+
 </div>
 
 </p>
 
-## ✨ Features
+## ✨ 特性
 
 - 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态能力，并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道、企业微信、飞书、Discord、个人微信，后续还将支持 WhatsApp、Telegram 等平台。
 - 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。

README_EN.md

@@ -0,0 +1,123 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://trendshift.io/repositories/6187" target="_blank"><img src="https://trendshift.io/api/badge/repositories/6187" alt="RockChinQ%2FQChatGPT | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+<a href="https://docs.langbot.app">Home</a> ｜
+<a href="https://docs.langbot.app/insight/intro.htmll">Features</a> ｜
+<a href="https://docs.langbot.app/insight/guide.html">Deployment</a> ｜
+<a href="https://docs.langbot.app/usage/faq.html">FAQ</a> ｜
+<a href="https://docs.langbot.app/plugin/plugin-intro.html">Plugin</a> ｜
+<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
+
+<div align="center">
+😎High Stability, 🧩Extension Supported, 🦄Multi-modal - LLM Native Instant Messaging Bot Platform🤖  
+</div>
+
+<br/>
+
+
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
+ ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=Usage(7days))
+<img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
+
+[简体中文](README.md) / [English](README_EN.md)
+
+</div>
+
+</p>
+
+## ✨ Features
+
+- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, and multi-modal capabilities. Deeply integrates with [Dify](https://dify.ai). Currently supports QQ, QQ Channel, WeCom, Lark, Discord, personal WeChat, and will support WhatsApp, Telegram, etc. in the future.
+- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods.
+- 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Rich ecology, currently has dozens of [plugins](https://docs.langbot.app/plugin/plugin-intro.html)
+- 😻 [New] Web UI: Support management LangBot instance through the browser, for details, see [documentation](https://docs.langbot.app/webui/intro.html)
+
+## 📦 Getting Started
+
+> [!IMPORTANT]
+>
+> - Before you start deploying in any way, please read the [New User Guide](https://docs.langbot.app/insight/guide.html).  
+> - All documentation is in Chinese, we will provide i18n version in the near future.
+
+#### Docker Compose Deployment
+
+Suitable for users familiar with Docker, see the [Docker Deployment](https://docs.langbot.app/deploy/langbot/docker.html) documentation.
+
+#### One-click Deployment on BTPanel
+
+LangBot has been listed on the BTPanel, if you have installed the BTPanel, you can use the [document](https://docs.langbot.app/deploy/langbot/one-click/bt.html) to use it.
+
+#### Zeabur Cloud Deployment
+
+Community contributed Zeabur template.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+
+#### Railway Cloud Deployment
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### Other Deployment Methods
+
+Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/deploy/langbot/manual.html) documentation.
+
+## 📸 Demo
+
+<img alt="Reply Effect (with Internet Plugin)" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
+
+- WebUI Demo: https://demo.langbot.dev/
+    - Login information: Email: `demo@langbot.app` Password: `langbot123456`
+    - Note: Only the WebUI effect is shown, please do not fill in any sensitive information in the public environment.
+
+## 🔌 Component Compatibility
+
+### Message Platform
+
+| Platform | Status | Remarks |
+| --- | --- | --- |
+| Personal QQ | ✅ |  |
+| QQ Official API | ✅ |  |
+| WeCom | ✅ |  |
+| Lark | ✅ |  |
+| Discord | ✅ |  |
+| Personal WeChat | ✅ | Use [Gewechat](https://github.com/Devo919/Gewechat) to access |
+| Telegram | 🚧 |  |
+| WhatsApp | 🚧 |  |
+| DingTalk | 🚧 |  |
+
+🚧: In development
+
+### LLMs
+
+| LLM | Status | Remarks |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | Available for any OpenAI interface format model |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [Dify](https://dify.ai) | ✅ | LLMOps platform |
+| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
+| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS) |
+
+## 🤝 Community Contribution
+
+Thanks to the following contributors and everyone in the community for their contributions.
+
+
+<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
+</a>
+
+

pkg/core/notes/n003_print_version.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+import typing
+import os
+import sys
+import logging
+
+from .. import note, app
+
+
+@note.note_class("PrintVersion", 3)
+class PrintVersion(note.LaunchNote):
+    """打印版本信息
+    """
+
+    async def need_show(self) -> bool:
+        return True
+
+    async def yield_note(self) -> typing.AsyncGenerator[typing.Tuple[str, int], None]:
+
+        yield f"当前版本：{self.ap.ver_mgr.get_current_version()}", logging.INFO

pkg/core/stages/show_notes.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from .. import stage, app, note
-from ..notes import n001_classic_msgs, n002_selection_mode_on_windows
+from ..notes import n001_classic_msgs, n002_selection_mode_on_windows, n003_print_version
 
 
 @stage.stage_class("ShowNotesStage")

pkg/pipeline/wrapper/wrapper.py

@@ -102,7 +102,7 @@ class ResponseWrapper(stage.PipelineStage):
                                 new_query=query
                             )
 
-                    if result.tool_calls is not None:  # 有函数调用
+                    if result.tool_calls is not None and len(result.tool_calls) > 0:  # 有函数调用
                         
                         function_names = [tc.function.name for tc in result.tool_calls]
 

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -8,6 +8,7 @@ from typing import AsyncGenerator
 
 import openai
 import openai.types.chat.chat_completion as chat_completion
+import openai.types.chat.chat_completion_message_tool_call as chat_completion_message_tool_call
 import httpx
 import aiohttp
 import async_lru
@@ -40,6 +41,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
             timeout=self.requester_cfg['timeout'],
             http_client=httpx.AsyncClient(
                 trust_env=True,
+                timeout=self.requester_cfg['timeout']
             )
         )
 
@@ -47,7 +49,67 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
         self,
         args: dict,
     ) -> chat_completion.ChatCompletion:
-        return await self.client.chat.completions.create(**args)
+        args["stream"] = True
+
+        chunk = None
+
+        pending_content = ""
+
+        tool_calls = []
+
+        resp_gen: openai.AsyncStream = await self.client.chat.completions.create(**args)
+
+        async for chunk in resp_gen:
+            # print(chunk)
+            if not chunk:
+                continue
+
+            if chunk.choices[0].delta.content is not None:
+                pending_content += chunk.choices[0].delta.content
+
+            if chunk.choices[0].delta.tool_calls is not None:
+                for tool_call in chunk.choices[0].delta.tool_calls:
+                    for tc in tool_calls:
+                        if tc.index == tool_call.index:
+                            tc.function.arguments += tool_call.function.arguments
+                            break
+                    else:
+                        tool_calls.append(tool_call)
+
+        real_tool_calls = []
+
+        for tc in tool_calls:
+            function = chat_completion_message_tool_call.Function(
+                name=tc.function.name,
+                arguments=tc.function.arguments
+            )
+            real_tool_calls.append(chat_completion_message_tool_call.ChatCompletionMessageToolCall(
+                id=tc.id,
+                function=function,
+                type="function"
+            ))
+
+        return chat_completion.ChatCompletion(
+            id=chunk.id,
+            object="chat.completion",
+            created=chunk.created,
+            choices=[
+                chat_completion.Choice(
+                    index=0,
+                    message=chat_completion.ChatCompletionMessage(
+                        role="assistant",
+                        content=pending_content,
+                        tool_calls=real_tool_calls if len(real_tool_calls) > 0 else None
+                    ),
+                    finish_reason=chunk.choices[0].finish_reason,
+                    logprobs=chunk.choices[0].logprobs,
+                )
+            ],
+            model=args["model"],
+            service_tier=chunk.service_tier,
+            system_fingerprint=chunk.system_fingerprint,
+            usage=chunk.usage
+        ) if chunk else None
 
     async def _make_msg(
         self,

pkg/provider/modelmgr/requesters/deepseekchatcmpl.py

@@ -46,6 +46,9 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
         # 发送请求
         resp = await self._req(args)
 
+        if resp is None:
+            raise errors.RequesterError('接口返回为空，请确定模型提供商服务是否正常')
+
         # 处理请求结果
         message = await self._make_msg(resp)
 

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.6"
+semantic_version = "v3.4.6.1"
 
 debug_mode = False