ci: perf workflows

Merge pull request #969 from RockChinQ/perf/unified-persistence-dir
perf: move label file to data dir
2025-11-25 19:37:36 +08:00 · 2025-01-02 11:03:40 +08:00 · 2025-01-02 10:52:16 +08:00 · 2025-01-02 10:51:09 +08:00 · 2025-01-02 10:41:52 +08:00 · 2024-12-29 21:31:47 +08:00
78 changed files with 1799 additions and 377 deletions
--- a/.github/ISSUE_TEMPLATE/bug-report.yml
+++ b/.github/ISSUE_TEMPLATE/bug-report.yml
@@ -1,39 +1,38 @@
 name: 漏洞反馈
-description: 报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭
+description: 报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://docs.langbot.app/deploy/network-details.html  
 title: "[Bug]: "
 labels: ["bug?"]
 body:
  - type: dropdown
    attributes:
      label: 消息平台适配器
-      description: "连接QQ使用的框架"
+      description: "接入的消息平台类型"
      options:
        - 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）
        - yiri-mirai（Mirai）
    validations:
      required: false
  - type: input
    attributes:
      label: 运行环境
      description: 操作系统、系统架构、**Python版本**、**主机地理位置**
      placeholder: 例如： CentOS x64 Python 3.10.3、Docker 的直接写 Docker 就行
    validations:
      required: true
  - type: input
    attributes:
-      label: LangBot 版本
+      label: 运行环境
-      description: LangBot (QChatGPT) 版本号
+      description: LangBot 版本、操作系统、系统架构、**Python版本**、**主机地理位置**
-      placeholder: 例如：v3.3.0，可以使用`!version`命令查看，或者到 pkg/utils/constants.py 查看
+      placeholder: 例如：v3.3.0、CentOS x64 Python 3.10.3、Docker 的系统直接写 Docker 就行
    validations:
      required: true
  - type: textarea
    attributes:
      label: 异常情况
-      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。**
+      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。** 
    validations:
      required: true
  - type: textarea
    attributes:
      label: 复现步骤
      description: 如何重现这个问题，越详细越好
    validations:
      required: false
  - type: textarea
    attributes:
      label: 启用的插件
--- a/.github/workflows/build-dev-image.yaml
+++ b/.github/workflows/build-dev-image.yaml
@@ -7,9 +7,14 @@ on:
 jobs:
  build-dev-image:
    runs-on: ubuntu-latest
    # 如果是tag则跳过
    if: ${{ !startsWith(github.ref, 'refs/tags/') }}
    steps:
      - name: Checkout
        uses: actions/checkout@v2
        with:
          persist-credentials: false
      - name: Generate Tag
        id: generate_tag
        run: |
--- a/.github/workflows/build-docker-image.yml
+++ b/.github/workflows/build-docker-image.yml
@@ -13,6 +13,9 @@ jobs:
    steps:
      - name: Checkout
        uses: actions/checkout@v2
        with:
          persist-credentials: false
      - name: judge has env GITHUB_REF  # 如果没有GITHUB_REF环境变量，则把github.ref变量赋值给GITHUB_REF
        run: |
          if [ -z "$GITHUB_REF" ]; then
--- a/.github/workflows/build-release-artifacts.yaml
+++ b/.github/workflows/build-release-artifacts.yaml
@@ -12,6 +12,8 @@ jobs:
    steps:
      - name: Checkout
        uses: actions/checkout@v2
        with:
          persist-credentials: false
      - name: Check version
        id: check_version
@@ -50,3 +52,11 @@ jobs:
        with:
          name: langbot-${{ steps.check_version.outputs.version }}-all
          path: .
      - name: Upload To Release
        env:
          GH_TOKEN: ${{ secrets.RELEASE_UPLOAD_GITHUB_TOKEN }}
        run: |
          # 本目录下所有文件打包成zip
          zip -r langbot-${{ steps.check_version.outputs.version }}-all.zip .
          gh release upload ${{ github.event.release.tag_name }} langbot-${{ steps.check_version.outputs.version }}-all.zip
--- a/.github/workflows/test-pr.yml
+++ b/.github/workflows/test-pr.yml
@@ -1,80 +0,0 @@
 name: Test Pull Request
 on:
  pull_request:
    types: [ready_for_review]
    paths:
      # 任何py文件改动都会触发
      - '**.py'
  pull_request_review:
    types: [submitted]
  issue_comment:
    types: [created]
  # 允许手动触发
  workflow_dispatch:
 jobs:
  perform-test:
    runs-on: ubuntu-latest
    # 如果事件为pull_request_review且review状态为approved，则执行
    if: >
      github.event_name == 'pull_request' ||
      (github.event_name == 'pull_request_review' && github.event.review.state == 'APPROVED') ||
      github.event_name == 'workflow_dispatch' ||
      (github.event_name == 'issue_comment' && github.event.issue.pull_request != '' && contains(github.event.comment.body, '/test') && github.event.comment.user.login == 'RockChinQ')
    steps:
      # 签出测试工程仓库代码
      - name: Checkout
        uses: actions/checkout@v2
        with:
          # 仓库地址
          repository: RockChinQ/qcg-tester
          # 仓库路径
          path: qcg-tester
      - name: Setup Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.10'
      - name: Install dependencies
        run: |
          cd qcg-tester
          python -m pip install --upgrade pip
          pip install -r requirements.txt
      - name: Get PR details
        id: get-pr
        if: github.event_name == 'issue_comment'
        uses: octokit/request-action@v2.x
        with:
          route: GET /repos/${{ github.repository }}/pulls/${{ github.event.issue.number }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
      - name: Set PR source branch as env variable
        if: github.event_name == 'issue_comment'
        run: |
          PR_SOURCE_BRANCH=$(echo '${{ steps.get-pr.outputs.data }}' | jq -r '.head.ref')
          echo "BRANCH=$PR_SOURCE_BRANCH" >> $GITHUB_ENV
      - name: Set PR Branch as bash env
        if: github.event_name != 'issue_comment'
        run: |
          echo "BRANCH=${{ github.head_ref }}" >> $GITHUB_ENV
      - name: Set OpenAI API Key from Secrets
        run: |
          echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> $GITHUB_ENV
      - name: Set OpenAI Reverse Proxy URL from Secrets
        run: |
          echo "OPENAI_REVERSE_PROXY=${{ secrets.OPENAI_REVERSE_PROXY }}" >> $GITHUB_ENV
      - name: Run test
        run: |
          cd qcg-tester
          python main.py
      - name: Upload coverage reports to Codecov
        run: |
          cd qcg-tester/resource/QChatGPT
          curl -Os https://uploader.codecov.io/latest/linux/codecov
          chmod +x codecov
          ./codecov -t ${{ secrets.CODECOV_TOKEN }}
--- a/.gitignore
+++ b/.gitignore
@@ -2,7 +2,6 @@
 .idea/
 __pycache__/
 database.db
 qchatgpt.log
 langbot.log
 /banlist.py
 /plugins/
@@ -17,8 +16,7 @@ scenario/
 !scenario/default-template.json
 override.json
 cookies.json
-res/announcement_saved
+data/labels/announcement_saved.json
 res/announcement_saved.json
 cmdpriv.json
 tips.py
 .venv
@@ -32,7 +30,7 @@ claude.json
 bard.json
 /*yaml
 !/docker-compose.yaml
-res/instance_id.json
+data/labels/instance_id.json
 .DS_Store
 /data
 botpy.log*
--- a/README.md
+++ b/README.md
@@ -1,33 +1,16 @@
 > [!IMPORTANT]
 > 我们被人在 X.com 和 pump.fun 上冒充了，以下两个账号利用本项目和作者信息在 X.com 上发布数字货币营销信息，请勿相信！我们已向 X 官方举报！我们从未以 LangBot 名义创建任何社交媒体账号或者数字货币。  
 > We have been impersonated on X.com and pump.fun . The following two accounts are using this project and author information to post digital currency marketing information on X.com. Please do not believe that! We have reported to X official! We have never created any social media account or digital currency under the name LangBot.  
 > 1. https://x.com/RockChinQ
 > 2. https://x.com/LangBotAI
 <p align="center">
-<img src="https://docs.langbot.app/chrome-512.png" alt="QChatGPT" width="180" />
+<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
-</p>
+
 <div align="center">
 # LangBot
 <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>
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
 <a href="https://hub.docker.com/repository/docker/rockchin/langbot">
    <img src="https://img.shields.io/docker/pulls/rockchin/langbot?color=blue" alt="docker pull">
  </a>
 ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.docs.langbot.app%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)
 ![Wakapi Count](https://wakapi.rockchin.top/api/badge/RockChinQ/interval:any/project:QChatGPT)
 <br/>
 <img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
 <a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
 <img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-purple">
 </a>
 <a href="https://qm.qq.com/q/PClALFK242">
 <img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-purple">
 </a>
 <a href="https://codecov.io/gh/RockChinQ/QChatGPT" > 
 <img src="https://codecov.io/gh/RockChinQ/QChatGPT/graph/badge.svg?token=pjxYIL2kbC"/> 
 </a>
 ## 使用文档
 <a href="https://docs.langbot.app">项目主页</a> ｜
 <a href="https://docs.langbot.app/insight/intro.htmll">功能介绍</a> ｜
 <a href="https://docs.langbot.app/insight/guide.html">部署文档</a> ｜
@@ -35,12 +18,67 @@
 <a href="https://docs.langbot.app/plugin/plugin-intro.html">插件介绍</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">提交插件</a>
 ## 相关链接
-<a href="https://github.com/RockChinQ/qcg-installer">安装器源码</a> ｜
+<div align="center">
-<a href="https://github.com/RockChinQ/qcg-tester">测试工程源码</a> ｜
+😎高稳定、🧩支持扩展、🦄多模态 - 基于大语言模型的即时通讯机器人平台🤖  
 <a href="https://github.com/RockChinQ/qcg-center">遥测服务端源码</a> ｜
 <a href="https://github.com/the-lazy-me/QChatGPT-Wiki">官方文档储存库</a>
 <img alt="回复效果（带有联网插件）" src="https://docs.langbot.top/QChatGPT-0516.png" width="500px"/>
 </div>
 <br/>
 <a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
 <img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-green">
 </a>
 <a href="https://qm.qq.com/q/PClALFK242">
 <img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-green">
 </a>
 <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=%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">
 </div>
 </p>
 ## ✨ Features
 - 💬 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，后续还将支持微信、WhatsApp、Discord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。
 - 🧩 插件扩展、活跃社区：支持事件驱动、组件扩展等插件机制；丰富生态，目前已有数十个[插件](https://docs.langbot.app/plugin/plugin-intro.html)
 - 😻 [New] Web 管理面板：支持通过浏览器管理 LangBot 实例，具体支持功能，查看[文档](https://docs.langbot.app/webui/intro.html)
 ## 📦 开始使用
 > [!IMPORTANT]
 >
 > 在您开始任何方式部署之前，请务必阅读[新手指引](https://docs.langbot.app/insight/guide.html)。
 #### Docker Compose 部署
 适合熟悉 Docker 的用户，查看文档[Docker 部署](https://docs.langbot.app/deploy/langbot/docker.html)。
 #### 宝塔面板部署
 已上架宝塔面板，若您已安装宝塔面板，可以根据[文档](https://docs.langbot.app/deploy/langbot/one-click/bt.html)使用。
 #### Zeabur 云部署
 社区贡献的 Zeabur 模板。
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 #### Railway 云部署
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 #### 手动部署
 直接使用发行版运行，查看文档[手动部署](https://docs.langbot.app/deploy/langbot/manual.html)。
 ## 📸 效果展示
 <img alt="回复效果（带有联网插件）" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
 - WebUI Demo: https://demo.langbot.dev/
    - 登录信息：邮箱：`demo@langbot.app` 密码：`langbot123456`
    - 注意：仅展示webui效果，公开环境，请不要在其中填入您的任何敏感信息。
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -3,6 +3,7 @@ version: "3"
 services:
  langbot:
    image: rockchin/langbot:latest
    container_name: langbot
    volumes:
      - ./data:/app/data
      - ./plugins:/app/plugins
--- a/libs/LICENSE
+++ b/libs/LICENSE
@@ -0,0 +1,674 @@
                    GNU GENERAL PUBLIC LICENSE
                       Version 3, 29 June 2007
 Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
 Everyone is permitted to copy and distribute verbatim copies
 of this license document, but changing it is not allowed.
                            Preamble
  The GNU General Public License is a free, copyleft license for
 software and other kinds of works.
  The licenses for most software and other practical works are designed
 to take away your freedom to share and change the works.  By contrast,
 the GNU General Public License is intended to guarantee your freedom to
 share and change all versions of a program--to make sure it remains free
 software for all its users.  We, the Free Software Foundation, use the
 GNU General Public License for most of our software; it applies also to
 any other work released this way by its authors.  You can apply it to
 your programs, too.
  When we speak of free software, we are referring to freedom, not
 price.  Our General Public Licenses are designed to make sure that you
 have the freedom to distribute copies of free software (and charge for
 them if you wish), that you receive source code or can get it if you
 want it, that you can change the software or use pieces of it in new
 free programs, and that you know you can do these things.
  To protect your rights, we need to prevent others from denying you
 these rights or asking you to surrender the rights.  Therefore, you have
 certain responsibilities if you distribute copies of the software, or if
 you modify it: responsibilities to respect the freedom of others.
  For example, if you distribute copies of such a program, whether
 gratis or for a fee, you must pass on to the recipients the same
 freedoms that you received.  You must make sure that they, too, receive
 or can get the source code.  And you must show them these terms so they
 know their rights.
  Developers that use the GNU GPL protect your rights with two steps:
 (1) assert copyright on the software, and (2) offer you this License
 giving you legal permission to copy, distribute and/or modify it.
  For the developers' and authors' protection, the GPL clearly explains
 that there is no warranty for this free software.  For both users' and
 authors' sake, the GPL requires that modified versions be marked as
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  Some devices are designed to deny users access to install or run
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 have designed this version of the GPL to prohibit the practice for those
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 stand ready to extend this provision to those domains in future versions
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  Finally, every program is threatened constantly by software patents.
 States should not allow patents to restrict development and use of
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 avoid the special danger that patents applied to a free program could
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 patents cannot be used to render the program non-free.
  The precise terms and conditions for copying, distribution and
 modification follow.
                       TERMS AND CONDITIONS
  0. Definitions.
  "This License" refers to version 3 of the GNU General Public License.
  "Copyright" also means copyright-like laws that apply to other kinds of
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  "The Program" refers to any copyrightable work licensed under this
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--- a/libs/README.md
+++ b/libs/README.md
@@ -0,0 +1,4 @@
 # LangBot/libs
 LangBot 项目下的 libs 目录下的所有代码均遵循本目录下的许可证约束。  
 您在使用、修改、分发本目录下的代码时，需要遵守其中包含的条款。
--- a/libs/dify_service_api/README.md
+++ b/libs/dify_service_api/README.md
@@ -0,0 +1,3 @@
 # Dify Service API Python SDK
 这个 SDK 尚不完全支持 Dify Service API 的所有功能。
--- a/libs/dify_service_api/init.py
+++ b/libs/dify_service_api/init.py
@@ -0,0 +1,2 @@
 from .v1 import client
 from .v1 import errors
--- a/libs/dify_service_api/test.py
+++ b/libs/dify_service_api/test.py
@@ -0,0 +1,44 @@
 from v1 import client
 import asyncio
 import os
 import json
 class TestDifyClient:
    async def test_chat_messages(self):
        cln = client.AsyncDifyServiceClient(api_key=os.getenv("DIFY_API_KEY"), base_url=os.getenv("DIFY_BASE_URL"))
        async for chunk in cln.chat_messages(inputs={}, query="调用工具查看现在几点？", user="test"):
            print(json.dumps(chunk, ensure_ascii=False, indent=4))
    async def test_upload_file(self):
        cln = client.AsyncDifyServiceClient(api_key=os.getenv("DIFY_API_KEY"), base_url=os.getenv("DIFY_BASE_URL"))
        file_bytes = open("img.png", "rb").read()
        print(type(file_bytes))
        file = ("img2.png", file_bytes, "image/png")
        resp = await cln.upload_file(file=file, user="test")
        print(json.dumps(resp, ensure_ascii=False, indent=4))
    async def test_workflow_run(self):
        cln = client.AsyncDifyServiceClient(api_key=os.getenv("DIFY_API_KEY"), base_url=os.getenv("DIFY_BASE_URL"))
        # resp = await cln.workflow_run(inputs={}, user="test")
        # # print(json.dumps(resp, ensure_ascii=False, indent=4))
        # print(resp)
        chunks = []
        ignored_events = ['text_chunk']
        async for chunk in cln.workflow_run(inputs={}, user="test"):
            if chunk['event'] in ignored_events:
                continue
            chunks.append(chunk)
        print(json.dumps(chunks, ensure_ascii=False, indent=4))
 if __name__ == "__main__":
    asyncio.run(TestDifyClient().test_chat_messages())
--- a/pkg/provider/modelmgr/apis/init.py
+++ b/pkg/provider/modelmgr/apis/init.py
--- a/libs/dify_service_api/v1/client.py
+++ b/libs/dify_service_api/v1/client.py
@@ -0,0 +1,126 @@
 from __future__ import annotations
 import httpx
 import typing
 import json
 from .errors import DifyAPIError
 class AsyncDifyServiceClient:
    """Dify Service API 客户端"""
    api_key: str
    base_url: str
    def __init__(
        self,
        api_key: str,
        base_url: str = "https://api.dify.ai/v1",
    ) -> None:
        self.api_key = api_key
        self.base_url = base_url
    async def chat_messages(
        self,
        inputs: dict[str, typing.Any],
        query: str,
        user: str,
        response_mode: str = "streaming",  # 当前不支持 blocking
        conversation_id: str = "",
        files: list[dict[str, typing.Any]] = [],
        timeout: float = 30.0,
    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
        """发送消息"""
        if response_mode != "streaming":
            raise DifyAPIError("当前仅支持 streaming 模式")
        async with httpx.AsyncClient(
            base_url=self.base_url,
            trust_env=True,
            timeout=timeout,
        ) as client:
            async with client.stream(
                "POST",
                "/chat-messages",
                headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
                json={
                    "inputs": inputs,
                    "query": query,
                    "user": user,
                    "response_mode": response_mode,
                    "conversation_id": conversation_id,
                    "files": files,
                },
            ) as r:
                async for chunk in r.aiter_lines():
                    if r.status_code != 200:
                        raise DifyAPIError(f"{r.status_code} {chunk}")
                    if chunk.strip() == "":
                        continue
                    if chunk.startswith("data:"):
                        yield json.loads(chunk[5:])
    async def workflow_run(
        self,
        inputs: dict[str, typing.Any],
        user: str,
        response_mode: str = "streaming",  # 当前不支持 blocking
        files: list[dict[str, typing.Any]] = [],
        timeout: float = 30.0,
    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
        """运行工作流"""
        if response_mode != "streaming":
            raise DifyAPIError("当前仅支持 streaming 模式")
        async with httpx.AsyncClient(
            base_url=self.base_url,
            trust_env=True,
            timeout=timeout,
        ) as client:
            async with client.stream(
                "POST",
                "/workflows/run",
                headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
                json={
                    "inputs": inputs,
                    "user": user,
                    "response_mode": response_mode,
                    "files": files,
                },
            ) as r:
                async for chunk in r.aiter_lines():
                    if r.status_code != 200:
                        raise DifyAPIError(f"{r.status_code} {chunk}")
                    if chunk.strip() == "":
                        continue
                    if chunk.startswith("data:"):
                        yield json.loads(chunk[5:])
    async def upload_file(
        self,
        file: httpx._types.FileTypes,
        user: str,
        timeout: float = 30.0,
    ) -> str:
        """上传文件"""
        async with httpx.AsyncClient(
            base_url=self.base_url,
            trust_env=True,
            timeout=timeout,
        ) as client:
            # multipart/form-data
            response = await client.post(
                "/files/upload",
                headers={"Authorization": f"Bearer {self.api_key}"},
                files={
                    "file": file,
                    "user": (None, user),
                },
            )
            if response.status_code != 201:
                raise DifyAPIError(f"{response.status_code} {response.text}")
            return response.json()
--- a/libs/dify_service_api/v1/client_test.py
+++ b/libs/dify_service_api/v1/client_test.py
@@ -0,0 +1,17 @@
 from . import client
 import asyncio
 import os
 class TestDifyClient:
    async def test_chat_messages(self):
        cln = client.DifyClient(api_key=os.getenv("DIFY_API_KEY"))
        resp = await cln.chat_messages(inputs={}, query="Who are you?", user_id="test")
        print(resp)
 if __name__ == "__main__":
    asyncio.run(TestDifyClient().test_chat_messages())
--- a/libs/dify_service_api/v1/errors.py
+++ b/libs/dify_service_api/v1/errors.py
@@ -0,0 +1,6 @@
 class DifyAPIError(Exception):
    """Dify API 请求失败"""
    def __init__(self, message: str):
        self.message = message
        super().__init__(self.message)
--- a/main.py
+++ b/main.py
@@ -36,6 +36,12 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
        print("已自动安装缺失的依赖包，请重启程序。")
        sys.exit(0)
    # 检查pydantic版本，如果没有 pydantic.v1，则把 pydantic 映射为 v1
    import pydantic.version
    if pydantic.version.VERSION < '2.0':
        import pydantic
        sys.modules['pydantic.v1'] = pydantic
    # 检查配置文件
    from pkg.core.bootutils import files
@@ -43,12 +49,10 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
    generated_files = await files.generate_files()
    if generated_files:
-        print("以下文件不存在，已自动生成，请按需修改配置文件后重启：")
+        print("以下文件不存在，已自动生成：")
        for file in generated_files:
            print("-", file)
        sys.exit(0)
    from pkg.core import boot
    await boot.main(loop)
--- a/pkg/api/http/controller/groups/user.py
+++ b/pkg/api/http/controller/groups/user.py
@@ -1,5 +1,6 @@
 import quart
 import sqlalchemy
 import argon2
 from .. import group
 from .....persistence.entities import user
@@ -32,7 +33,10 @@ class UserRouterGroup(group.RouterGroup):
        async def _() -> str:
            json_data = await quart.request.json
-            token = await self.ap.user_service.authenticate(json_data['user'], json_data['password'])
+            try:
                token = await self.ap.user_service.authenticate(json_data['user'], json_data['password'])
            except argon2.exceptions.VerifyMismatchError:
                return self.fail(1, '用户名或密码错误')
            return self.success(data={
                'token': token
--- a/pkg/api/http/service/user.py
+++ b/pkg/api/http/service/user.py
@@ -51,8 +51,7 @@ class UserService:
        ph = argon2.PasswordHasher()
-        if not ph.verify(user_obj.password, password):
+        ph.verify(user_obj.password, password)
            raise ValueError('密码错误')
        return await self.generate_jwt_token(user_email)
--- a/pkg/audit/identifier.py
+++ b/pkg/audit/identifier.py
@@ -13,14 +13,14 @@ identifier = {
    'instance_create_ts': 0,
 }
-HOST_ID_FILE = os.path.expanduser('~/.qchatgpt/host_id.json')
+HOST_ID_FILE = os.path.expanduser('~/.langbot/host_id.json')
-INSTANCE_ID_FILE = 'res/instance_id.json'
+INSTANCE_ID_FILE = 'data/labels/instance_id.json'
 def init():
    global identifier
-    if not os.path.exists(os.path.expanduser('~/.qchatgpt')):
+    if not os.path.exists(os.path.expanduser('~/.langbot')):
-        os.mkdir(os.path.expanduser('~/.qchatgpt'))
+        os.mkdir(os.path.expanduser('~/.langbot'))
    if not os.path.exists(HOST_ID_FILE):
        new_host_id = 'host_'+str(uuid.uuid4())
--- a/pkg/command/entities.py
+++ b/pkg/command/entities.py
@@ -2,7 +2,7 @@ from __future__ import annotations
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 from ..core import app, entities as core_entities
 from . import errors, operator
--- a/pkg/core/app.py
+++ b/pkg/core/app.py
@@ -143,9 +143,7 @@ class Application:
            self.logger.warning("WebUI 文件缺失，请根据文档获取：https://docs.langbot.app/webui/intro.html")
            return
-        import socket
+        host_ip = "127.0.0.1"
        host_ip = socket.gethostbyname(socket.gethostname())
        public_ip = await ip.get_myip()
--- a/pkg/core/bootutils/files.py
+++ b/pkg/core/bootutils/files.py
@@ -24,6 +24,7 @@ required_paths = [
    "data/scenario",
    "data/logs",
    "data/config",
    "data/labels",
    "plugins"
 ]
--- a/pkg/core/bootutils/log.py
+++ b/pkg/core/bootutils/log.py
@@ -42,8 +42,11 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
    )
    stream_handler = logging.StreamHandler(sys.stdout)
    # stream_handler.setLevel(level)
    # stream_handler.setFormatter(color_formatter)
    stream_handler.stream = open(sys.stdout.fileno(), mode='w', encoding='utf-8', buffering=1)
-    log_handlers: list[logging.Handler] = [stream_handler, logging.FileHandler(log_file_name)]
+    log_handlers: list[logging.Handler] = [stream_handler, logging.FileHandler(log_file_name, encoding='utf-8')]
    log_handlers += extra_handlers if extra_handlers is not None else []
    for handler in log_handlers:
--- a/pkg/core/entities.py
+++ b/pkg/core/entities.py
@@ -5,7 +5,7 @@ import typing
 import datetime
 import asyncio
-import pydantic
+import pydantic.v1 as pydantic
 from ..provider import entities as llm_entities
 from ..provider.modelmgr import entities
@@ -91,7 +91,7 @@ class Query(pydantic.BaseModel):
 class Conversation(pydantic.BaseModel):
-    """对话，包含于 Session 中，一个 Session 可以有多个历史 Conversation，但只有一个当前使用的 Conversation""" 
+    """对话，包含于 Session 中，一个 Session 可以有多个历史 Conversation，但只有一个当前使用的 Conversation"""
    prompt: sysprompt_entities.Prompt
@@ -105,6 +105,9 @@ class Conversation(pydantic.BaseModel):
    use_funcs: typing.Optional[list[tools_entities.LLMFunction]]
    uuid: typing.Optional[str] = None
    """该对话的 uuid，在创建时不会自动生成。而是当使用 Dify API 等由外部管理对话信息的服务时，用于绑定外部的会话。具体如何使用，取决于 Runner。"""
 class Session(pydantic.BaseModel):
    """会话，一个 Session 对应一个 {launcher_type.value}_{launcher_id}"""
--- a/pkg/core/migrations/m015_gitee_ai_config.py
+++ b/pkg/core/migrations/m015_gitee_ai_config.py
@@ -0,0 +1,26 @@
 from __future__ import annotations
 from .. import migration
@migration.migration_class("gitee-ai-config", 15)
 class GiteeAIConfigMigration(migration.Migration):
    """迁移"""
    async def need_migrate(self) -> bool:
        """判断当前环境是否需要运行此迁移"""
        return 'gitee-ai-chat-completions' not in self.ap.provider_cfg.data['requester'] or 'gitee-ai' not in self.ap.provider_cfg.data['keys']
    async def run(self):
        """执行迁移"""
        self.ap.provider_cfg.data['requester']['gitee-ai-chat-completions'] = {
            "base-url": "https://ai.gitee.com/v1",
            "args": {},
            "timeout": 120
        }
        self.ap.provider_cfg.data['keys']['gitee-ai'] = [
            "XXXXX"
        ]
        await self.ap.provider_cfg.dump_config()
--- a/pkg/core/migrations/m016_dify_service_api.py
+++ b/pkg/core/migrations/m016_dify_service_api.py
@@ -0,0 +1,28 @@
 from __future__ import annotations
 from .. import migration
@migration.migration_class("dify-service-api-config", 16)
 class DifyServiceAPICfgMigration(migration.Migration):
    """迁移"""
    async def need_migrate(self) -> bool:
        """判断当前环境是否需要运行此迁移"""
        return 'dify-service-api' not in self.ap.provider_cfg.data
    async def run(self):
        """执行迁移"""
        self.ap.provider_cfg.data['dify-service-api'] = {
            "base-url": "https://api.dify.ai/v1",
            "app-type": "chat",
            "chat": {
                "api-key": "app-1234567890"
            },
            "workflow": {
                "api-key": "app-1234567890",
                "output-key": "summary"
            }
        }
        await self.ap.provider_cfg.dump_config()
--- a/pkg/core/migrations/m017_dify_api_timeout_params.py
+++ b/pkg/core/migrations/m017_dify_api_timeout_params.py
@@ -0,0 +1,24 @@
 from __future__ import annotations
 from .. import migration
@migration.migration_class("dify-api-timeout-params", 17)
 class DifyAPITimeoutParamsMigration(migration.Migration):
    """迁移"""
    async def need_migrate(self) -> bool:
        """判断当前环境是否需要运行此迁移"""
        return 'timeout' not in self.ap.provider_cfg.data['dify-service-api']['chat'] or 'timeout' not in self.ap.provider_cfg.data['dify-service-api']['workflow'] \
            or 'agent' not in self.ap.provider_cfg.data['dify-service-api']
    async def run(self):
        """执行迁移"""
        self.ap.provider_cfg.data['dify-service-api']['chat']['timeout'] = 120
        self.ap.provider_cfg.data['dify-service-api']['workflow']['timeout'] = 120
        self.ap.provider_cfg.data['dify-service-api']['agent'] = {
            "api-key": "app-1234567890",
            "timeout": 120
        }
        await self.ap.provider_cfg.dump_config()
--- a/pkg/core/stages/migrate.py
+++ b/pkg/core/stages/migrate.py
@@ -7,6 +7,7 @@ from .. import migration
 from ..migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
 from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
 from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
 from ..migrations import m015_gitee_ai_config, m016_dify_service_api, m017_dify_api_timeout_params
@stage.stage_class("MigrationStage")
@@ -28,3 +29,4 @@ class MigrationStage(stage.BootingStage):
            if await migration_instance.need_migrate():
                await migration_instance.run()
                print(f'已执行迁移 {migration_instance.name}')
--- a/pkg/pipeline/cntfilter/entities.py
+++ b/pkg/pipeline/cntfilter/entities.py
@@ -2,7 +2,7 @@
 import typing
 import enum
-import pydantic
+import pydantic.v1 as pydantic
 from ...provider import entities as llm_entities
--- a/pkg/pipeline/entities.py
+++ b/pkg/pipeline/entities.py
@@ -3,7 +3,7 @@ from __future__ import annotations
 import enum
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 from ..platform.types import message as platform_message
 from ..core import entities
--- a/pkg/pipeline/longtext/strategies/forward.py
+++ b/pkg/pipeline/longtext/strategies/forward.py
@@ -2,7 +2,7 @@
 from __future__ import annotations
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 from .. import strategy as strategy_model
 from ....core import entities as core_entities
--- a/pkg/pipeline/longtext/strategies/image.py
+++ b/pkg/pipeline/longtext/strategies/image.py
@@ -58,7 +58,7 @@ class Text2ImageStrategy(strategy_model.LongTextStrategy):
        """
        kv = []
        nums = []
-        beforeDatas = re.findall('[\d]+', path)
+        beforeDatas = re.findall('[\\d]+', path)
        for num in beforeDatas:
            indexV = []
            times = path.count(num)
--- a/pkg/pipeline/preproc/preproc.py
+++ b/pkg/pipeline/preproc/preproc.py
@@ -45,7 +45,7 @@ class PreProcessor(stage.PipelineStage):
        # 检查vision是否启用，没启用就删除所有图片
-        if not self.ap.provider_cfg.data['enable-vision'] or not query.use_model.vision_supported:
+        if not self.ap.provider_cfg.data['enable-vision'] or (self.ap.provider_cfg.data['runner'] == 'local-agent' and not query.use_model.vision_supported):
            for msg in query.messages:
                if isinstance(msg.content, list):
                    for me in msg.content:
@@ -60,13 +60,13 @@ class PreProcessor(stage.PipelineStage):
                    llm_entities.ContentElement.from_text(me.text)
                )
            elif isinstance(me, platform_message.Image):
-                if self.ap.provider_cfg.data['enable-vision'] and query.use_model.vision_supported:
+                if self.ap.provider_cfg.data['enable-vision'] and (self.ap.provider_cfg.data['runner'] != 'local-agent' or query.use_model.vision_supported):
-                    if me.url is not None:
+                    if me.base64 is not None:
                        content_list.append(
-                            llm_entities.ContentElement.from_image_url(str(me.url))
+                            llm_entities.ContentElement.from_image_base64(me.base64)
                        )
-        query.user_message = llm_entities.Message(  # TODO 适配多模态输入
+        query.user_message = llm_entities.Message(
            role='user',
            content=content_list
        )
--- a/pkg/pipeline/process/handlers/chat.py
+++ b/pkg/pipeline/process/handlers/chat.py
@@ -91,7 +91,7 @@ class ChatMessageHandler(handler.MessageHandler):
                query.session.using_conversation.messages.extend(query.resp_messages)
            except Exception as e:
-                self.ap.logger.error(f'对话({query.query_id})请求失败: {str(e)}')
+                self.ap.logger.error(f'对话({query.query_id})请求失败: {type(e).__name__} {str(e)}')
                yield entities.StageProcessResult(
                    result_type=entities.ResultType.INTERRUPT,
@@ -105,7 +105,7 @@ class ChatMessageHandler(handler.MessageHandler):
                await self.ap.ctr_mgr.usage.post_query_record(
                    session_type=query.session.launcher_type.value,
                    session_id=str(query.session.launcher_id),
-                    query_ability_provider="QChatGPT.Chat",
+                    query_ability_provider="LangBot.Chat",
                    usage=text_length,
                    model_name=query.use_model.name,
                    response_seconds=int(time.time() - start_time),
--- a/pkg/pipeline/resprule/entities.py
+++ b/pkg/pipeline/resprule/entities.py
@@ -1,4 +1,4 @@
-import pydantic
+import pydantic.v1 as pydantic
 from ...platform.types import message as platform_message
--- a/pkg/pipeline/stagemgr.py
+++ b/pkg/pipeline/stagemgr.py
@@ -1,7 +1,5 @@
 from __future__ import annotations
 import pydantic
 from ..core import app
 from . import stage
 from .resprule import resprule
--- a/pkg/platform/manager.py
+++ b/pkg/platform/manager.py
@@ -50,17 +50,6 @@ class PlatformManager:
                adapter=adapter
            )
        async def on_stranger_message(event: platform_events.StrangerMessage, adapter: msadapter.MessageSourceAdapter):
            await self.ap.query_pool.add_query(
                launcher_type=core_entities.LauncherTypes.PERSON,
                launcher_id=event.sender.id,
                sender_id=event.sender.id,
                message_event=event,
                message_chain=event.message_chain,
                adapter=adapter
            )
        async def on_group_message(event: platform_events.GroupMessage, adapter: msadapter.MessageSourceAdapter):
            await self.ap.query_pool.add_query(
@@ -96,12 +85,6 @@ class PlatformManager:
                        )
                        self.adapters.append(adapter_inst)
                        if adapter_name == 'yiri-mirai':
                            adapter_inst.register_listener(
                                platform_events.StrangerMessage,
                                on_stranger_message
                            )
                        adapter_inst.register_listener(
                            platform_events.FriendMessage,
                            on_friend_message
--- a/pkg/platform/sources/aiocqhttp.py
+++ b/pkg/platform/sources/aiocqhttp.py
@@ -6,6 +6,7 @@ import time
 import datetime
 import aiocqhttp
 import aiohttp
 from .. import adapter
 from ...pipeline.longtext.strategies import forward
@@ -13,12 +14,12 @@ from ...core import app
 from ..types import message as platform_message
 from ..types import events as platform_events
 from ..types import entities as platform_entities
-
+from ...utils import image
 class AiocqhttpMessageConverter(adapter.MessageConverter):
    @staticmethod
-    def yiri2target(message_chain: platform_message.MessageChain) -> typing.Tuple[list, int, datetime.datetime]:
+    async def yiri2target(message_chain: platform_message.MessageChain) -> typing.Tuple[list, int, datetime.datetime]:
        msg_list = aiocqhttp.Message()
        msg_id = 0
@@ -59,7 +60,7 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
            elif type(msg) is forward.Forward:
                for node in msg.node_list:
-                    msg_list.extend(AiocqhttpMessageConverter.yiri2target(node.message_chain)[0])
+                    msg_list.extend((await AiocqhttpMessageConverter.yiri2target(node.message_chain))[0])
            else:
                msg_list.append(aiocqhttp.MessageSegment.text(str(msg)))
@@ -67,7 +68,7 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
        return msg_list, msg_id, msg_time
    @staticmethod
-    def target2yiri(message: str, message_id: int = -1):
+    async def target2yiri(message: str, message_id: int = -1):
        message = aiocqhttp.Message(message)
        yiri_msg_list = []
@@ -89,7 +90,8 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
            elif msg.type == "text":
                yiri_msg_list.append(platform_message.Plain(text=msg.data["text"]))
            elif msg.type == "image":
-                yiri_msg_list.append(platform_message.Image(url=msg.data["url"]))
+                image_base64, image_format = await image.qq_image_url_to_base64(msg.data['url'])
                yiri_msg_list.append(platform_message.Image(base64=f"data:image/{image_format};base64,{image_base64}"))
        chain = platform_message.MessageChain(yiri_msg_list)
@@ -99,9 +101,9 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
 class AiocqhttpEventConverter(adapter.EventConverter):
    @staticmethod
-    def yiri2target(event: platform_events.Event, bot_account_id: int):
+    async def yiri2target(event: platform_events.Event, bot_account_id: int):
-        msg, msg_id, msg_time = AiocqhttpMessageConverter.yiri2target(event.message_chain)
+        msg, msg_id, msg_time = await AiocqhttpMessageConverter.yiri2target(event.message_chain)
        if type(event) is platform_events.GroupMessage:
            role = "member"
@@ -164,8 +166,8 @@ class AiocqhttpEventConverter(adapter.EventConverter):
            return aiocqhttp.Event.from_payload(payload)
    @staticmethod
-    def target2yiri(event: aiocqhttp.Event):
+    async def target2yiri(event: aiocqhttp.Event):
-        yiri_chain = AiocqhttpMessageConverter.target2yiri(
+        yiri_chain = await AiocqhttpMessageConverter.target2yiri(
            event.message, event.message_id
        )
@@ -242,7 +244,7 @@ class AiocqhttpAdapter(adapter.MessageSourceAdapter):
    async def send_message(
        self, target_type: str, target_id: str, message: platform_message.MessageChain
    ):
-        aiocq_msg = AiocqhttpMessageConverter.yiri2target(message)[0]
+        aiocq_msg = (await AiocqhttpMessageConverter.yiri2target(message))[0]
        if target_type == "group":
            await self.bot.send_group_msg(group_id=int(target_id), message=aiocq_msg)
@@ -255,8 +257,8 @@ class AiocqhttpAdapter(adapter.MessageSourceAdapter):
        message: platform_message.MessageChain,
        quote_origin: bool = False,
    ):  
-        aiocq_event = AiocqhttpEventConverter.yiri2target(message_source, self.bot_account_id)
+        aiocq_event = await AiocqhttpEventConverter.yiri2target(message_source, self.bot_account_id)
-        aiocq_msg = AiocqhttpMessageConverter.yiri2target(message)[0]
+        aiocq_msg = (await AiocqhttpMessageConverter.yiri2target(message))[0]
        if quote_origin:
            aiocq_msg = aiocqhttp.MessageSegment.reply(aiocq_event.message_id) + aiocq_msg
@@ -276,7 +278,7 @@ class AiocqhttpAdapter(adapter.MessageSourceAdapter):
        async def on_message(event: aiocqhttp.Event):
            self.bot_account_id = event.self_id
            try:
-                return await callback(self.event_converter.target2yiri(event), self)
+                return await callback(await self.event_converter.target2yiri(event), self)
            except:
                traceback.print_exc()
--- a/pkg/platform/sources/qqbotpy.py
+++ b/pkg/platform/sources/qqbotpy.py
@@ -9,8 +9,6 @@ import traceback
 import botpy
 import botpy.message as botpy_message
 import botpy.types.message as botpy_message_type
 import pydantic
 import pydantic.networks
 from .. import adapter as adapter_model
 from ...pipeline.longtext.strategies import forward
--- a/pkg/platform/types/base.py
+++ b/pkg/platform/types/base.py
@@ -1,8 +1,8 @@
 from typing import Dict, List, Type
-import pydantic.main as pdm
+import pydantic.v1.main as pdm
-from pydantic import BaseModel
+from pydantic.v1 import BaseModel
 class PlatformMetaclass(pdm.ModelMetaclass):
--- a/pkg/platform/types/entities.py
+++ b/pkg/platform/types/entities.py
@@ -7,7 +7,7 @@ from datetime import datetime
 from enum import Enum
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 class Entity(pydantic.BaseModel):
--- a/pkg/platform/types/events.py
+++ b/pkg/platform/types/events.py
@@ -6,7 +6,7 @@ from datetime import datetime
 from enum import Enum
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 from . import entities as platform_entities
 from . import message as platform_message
--- a/pkg/platform/types/message.py
+++ b/pkg/platform/types/message.py
@@ -5,8 +5,7 @@ from enum import Enum
 from pathlib import Path
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 import pydantic.main
 from . import entities as platform_entities
 from .base import PlatformBaseModel, PlatformIndexedMetaclass, PlatformIndexedModel
--- a/pkg/plugin/context.py
+++ b/pkg/plugin/context.py
@@ -2,7 +2,7 @@ from __future__ import annotations
 import typing
 import abc
-import pydantic
+import pydantic.v1 as pydantic
 import enum
 from . import events
@@ -127,16 +127,16 @@ class APIHost:
        Returns:
            bool: 是否满足要求, False时为无法获取版本号，True时为满足要求，报错为不满足要求
        """
-        qchatgpt_version = ""
+        langbot_version = ""
        try:
-            qchatgpt_version = self.ap.ver_mgr.get_current_version()  # 从updater模块获取版本号
+            langbot_version = self.ap.ver_mgr.get_current_version()  # 从updater模块获取版本号
        except:
            return False
-        if self.ap.ver_mgr.compare_version_str(qchatgpt_version, ge) < 0 or \
+        if self.ap.ver_mgr.compare_version_str(langbot_version, ge) < 0 or \
-            (self.ap.ver_mgr.compare_version_str(qchatgpt_version, le) > 0):
+            (self.ap.ver_mgr.compare_version_str(langbot_version, le) > 0):
-            raise Exception("LangBot 版本不满足要求，某些功能（可能是由插件提供的）无法正常使用。（要求版本：{}-{}，但当前版本：{}）".format(ge, le, qchatgpt_version))
+            raise Exception("LangBot 版本不满足要求，某些功能（可能是由插件提供的）无法正常使用。（要求版本：{}-{}，但当前版本：{}）".format(ge, le, langbot_version))
        return True
--- a/pkg/plugin/events.py
+++ b/pkg/plugin/events.py
@@ -2,7 +2,7 @@ from __future__ import annotations
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 from ..core import entities as core_entities
 from ..provider import entities as llm_entities
--- a/pkg/provider/entities.py
+++ b/pkg/provider/entities.py
@@ -2,7 +2,7 @@ from __future__ import annotations
 import typing
 import enum
-import pydantic
+import pydantic.v1 as pydantic
 from ..platform.types import message as platform_message
@@ -38,6 +38,8 @@ class ContentElement(pydantic.BaseModel):
    image_url: typing.Optional[ImageURLContentObject] = None
    image_base64: typing.Optional[str] = None
    def __str__(self):
        if self.type == 'text':
            return self.text
@@ -53,6 +55,10 @@ class ContentElement(pydantic.BaseModel):
    @classmethod
    def from_image_url(cls, image_url: str):
        return cls(type='image_url', image_url=ImageURLContentObject(url=image_url))
    @classmethod
    def from_image_base64(cls, image_base64: str):
        return cls(type='image_base64', image_base64=image_base64)
 class Message(pydantic.BaseModel):
--- a/pkg/provider/modelmgr/entities.py
+++ b/pkg/provider/modelmgr/entities.py
@@ -2,9 +2,9 @@ from __future__ import annotations
 import typing
-import pydantic
+import pydantic.v1 as pydantic
-from . import api
+from . import requester
 from . import token
@@ -17,7 +17,7 @@ class LLMModelInfo(pydantic.BaseModel):
    token_mgr: token.TokenManager
-    requester: api.LLMAPIRequester
+    requester: requester.LLMAPIRequester
    tool_call_supported: typing.Optional[bool] = False
--- a/pkg/provider/modelmgr/modelmgr.py
+++ b/pkg/provider/modelmgr/modelmgr.py
@@ -2,11 +2,11 @@ from __future__ import annotations
 import aiohttp
-from . import entities
+from . import entities, requester
 from ...core import app
-from . import token, api
+from . import token
-from .apis import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat
+from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl
 FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"
@@ -18,7 +18,7 @@ class ModelManager:
    model_list: list[entities.LLMModelInfo]
-    requesters: dict[str, api.LLMAPIRequester]
+    requesters: dict[str, requester.LLMAPIRequester]
    token_mgrs: dict[str, token.TokenManager]
@@ -42,7 +42,7 @@ class ModelManager:
        for k, v in self.ap.provider_cfg.data['keys'].items():
            self.token_mgrs[k] = token.TokenManager(k, v)
-        for api_cls in api.preregistered_requesters:
+        for api_cls in requester.preregistered_requesters:
            api_inst = api_cls(self.ap)
            await api_inst.initialize()
            self.requesters[api_inst.name] = api_inst
@@ -94,7 +94,7 @@ class ModelManager:
                model_name = model.get('model_name', default_model_info.model_name)
                token_mgr = self.token_mgrs[model['token_mgr']] if 'token_mgr' in model else default_model_info.token_mgr
-                requester = self.requesters[model['requester']] if 'requester' in model else default_model_info.requester
+                req = self.requesters[model['requester']] if 'requester' in model else default_model_info.requester
                tool_call_supported = model.get('tool_call_supported', default_model_info.tool_call_supported)
                vision_supported = model.get('vision_supported', default_model_info.vision_supported)
@@ -102,7 +102,7 @@ class ModelManager:
                    name=model['name'],
                    model_name=model_name,
                    token_mgr=token_mgr,
-                    requester=requester,
+                    requester=req,
                    tool_call_supported=tool_call_supported,
                    vision_supported=vision_supported
                )
--- a/pkg/provider/modelmgr/requester.py
+++ b/pkg/provider/modelmgr/requester.py
@@ -48,6 +48,7 @@ class LLMAPIRequester(metaclass=abc.ABCMeta):
    @abc.abstractmethod
    async def call(
        self,
        query: core_entities.Query,
        model: modelmgr_entities.LLMModelInfo,
        messages: typing.List[llm_entities.Message],
        funcs: typing.List[tools_entities.LLMFunction] = None,
--- a/pkg/provider/modelmgr/requesters/init.py
+++ b/pkg/provider/modelmgr/requesters/init.py
--- a/pkg/provider/modelmgr/requesters/anthropicmsgs.py
+++ b/pkg/provider/modelmgr/requesters/anthropicmsgs.py
@@ -2,34 +2,45 @@ from __future__ import annotations
 import typing
 import traceback
 import base64
 import anthropic
 import httpx
-from .. import api, entities, errors
+from .. import entities, errors, requester
-from .. import api, entities, errors
+from .. import entities, errors
 from ....core import entities as core_entities
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 from ....utils import image
-@api.requester_class("anthropic-messages")
+@requester.requester_class("anthropic-messages")
-class AnthropicMessages(api.LLMAPIRequester):
+class AnthropicMessages(requester.LLMAPIRequester):
    """Anthropic Messages API 请求器"""
    client: anthropic.AsyncAnthropic
    async def initialize(self):
        httpx_client = anthropic._base_client.AsyncHttpxClientWrapper(
            base_url=self.ap.provider_cfg.data['requester']['anthropic-messages']['base-url'],
            # cast to a valid type because mypy doesn't understand our type narrowing
            timeout=typing.cast(httpx.Timeout, self.ap.provider_cfg.data['requester']['anthropic-messages']['timeout']),
            limits=anthropic._constants.DEFAULT_CONNECTION_LIMITS,
            follow_redirects=True,
            proxies=self.ap.proxy_mgr.get_forward_proxies()
        )
        self.client = anthropic.AsyncAnthropic(
            api_key="",
-            base_url=self.ap.provider_cfg.data['requester']['anthropic-messages']['base-url'],
+            http_client=httpx_client,
            timeout=self.ap.provider_cfg.data['requester']['anthropic-messages']['timeout'],
            proxies=self.ap.proxy_mgr.get_forward_proxies()
        )
    async def call(
        self,
        query: core_entities.Query,
        model: entities.LLMModelInfo,
        messages: typing.List[llm_entities.Message],
        funcs: typing.List[tools_entities.LLMFunction] = None,
@@ -61,24 +72,20 @@ class AnthropicMessages(api.LLMAPIRequester):
            if isinstance(m.content, str) and m.content.strip() != "":
                req_messages.append(m.dict(exclude_none=True))
            elif isinstance(m.content, list):
                # m.content = [
                #     c for c in m.content if c.type == "text"
                # ]
                # if len(m.content) > 0:
                #     req_messages.append(m.dict(exclude_none=True))
                msg_dict = m.dict(exclude_none=True)
                for i, ce in enumerate(m.content):
-                    if ce.type == "image_url":
+
-                        base64_image, image_format = await image.qq_image_url_to_base64(ce.image_url.url)
+                    if ce.type == "image_base64":
                        image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
                        alter_image_ele = {
                            "type": "image",
                            "source": {
                                "type": "base64",
                                "media_type": f"image/{image_format}",
-                                "data": base64_image
+                                "data": image_b64
                            }
                        }
                        msg_dict["content"][i] = alter_image_ele
--- a/pkg/provider/modelmgr/requesters/chatcmpl.py
+++ b/pkg/provider/modelmgr/requesters/chatcmpl.py
@@ -12,15 +12,15 @@ import httpx
 import aiohttp
 import async_lru
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ....core import entities as core_entities, app
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 from ....utils import image
-@api.requester_class("openai-chat-completions")
+@requester.requester_class("openai-chat-completions")
-class OpenAIChatCompletions(api.LLMAPIRequester):
+class OpenAIChatCompletions(requester.LLMAPIRequester):
    """OpenAI ChatCompletion API 请求器"""
    client: openai.AsyncClient
@@ -65,6 +65,7 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
    async def _closure(
        self,
        query: core_entities.Query,
        req_messages: list[dict],
        use_model: entities.LLMModelInfo,
        use_funcs: list[tools_entities.LLMFunction] = None,
@@ -87,8 +88,12 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
        for msg in messages:
            if 'content' in msg and isinstance(msg["content"], list):
                for me in msg["content"]:
-                    if me["type"] == "image_url":
+                    if me["type"] == "image_base64":
-                        me["image_url"]['url'] = await self.get_base64_str(me["image_url"]['url'])
+                        me["image_url"] = {
                            "url": me["image_base64"]
                        }
                        me["type"] = "image_url"
                        del me["image_base64"]
        args["messages"] = messages
@@ -102,6 +107,7 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
    async def call(
        self,
        query: core_entities.Query,
        model: entities.LLMModelInfo,
        messages: typing.List[llm_entities.Message],
        funcs: typing.List[tools_entities.LLMFunction] = None,
@@ -118,7 +124,7 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
            req_messages.append(msg_dict)
        try:
-            return await self._closure(req_messages, model, funcs)
+            return await self._closure(query=query, req_messages=req_messages, use_model=model, use_funcs=funcs)
        except asyncio.TimeoutError:
            raise errors.RequesterError('请求超时')
        except openai.BadRequestError as e:
@@ -134,11 +140,3 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
            raise errors.RequesterError(f'请求过于频繁或余额不足: {e.message}')
        except openai.APIError as e:
            raise errors.RequesterError(f'请求错误: {e.message}')
    @async_lru.alru_cache(maxsize=128)
    async def get_base64_str(
        self,
        original_url: str,
    ) -> str:
        base64_image, image_format = await image.qq_image_url_to_base64(original_url)
        return f"data:image/{image_format};base64,{base64_image}"
--- a/pkg/provider/modelmgr/requesters/deepseekchatcmpl.py
+++ b/pkg/provider/modelmgr/requesters/deepseekchatcmpl.py
@@ -1,15 +1,13 @@
 from __future__ import annotations
 from ....core import app
 from . import chatcmpl
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ....core import entities as core_entities, app
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
-@api.requester_class("deepseek-chat-completions")
+@requester.requester_class("deepseek-chat-completions")
 class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
    """Deepseek ChatCompletion API 请求器"""
@@ -19,6 +17,7 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
    async def _closure(
        self,
        query: core_entities.Query,
        req_messages: list[dict],
        use_model: entities.LLMModelInfo,
        use_funcs: list[tools_entities.LLMFunction] = None,
--- a/pkg/provider/modelmgr/requesters/giteeaichatcmpl.py
+++ b/pkg/provider/modelmgr/requesters/giteeaichatcmpl.py
@@ -0,0 +1,54 @@
 from __future__ import annotations
 import json
 import asyncio
 import aiohttp
 import typing
 from . import chatcmpl
 from .. import entities, errors, requester
 from ....core import app, entities as core_entities
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 from .. import entities as modelmgr_entities
@requester.requester_class("gitee-ai-chat-completions")
 class GiteeAIChatCompletions(chatcmpl.OpenAIChatCompletions):
    """Gitee AI ChatCompletions API 请求器"""
    def __init__(self, ap: app.Application):
        self.ap = ap
        self.requester_cfg = ap.provider_cfg.data['requester']['gitee-ai-chat-completions'].copy()
    async def _closure(
        self,
        query: core_entities.Query,
        req_messages: list[dict],
        use_model: entities.LLMModelInfo,
        use_funcs: list[tools_entities.LLMFunction] = None,
    ) -> llm_entities.Message:
        self.client.api_key = use_model.token_mgr.get_token()
        args = self.requester_cfg['args'].copy()
        args["model"] = use_model.name if use_model.model_name is None else use_model.model_name
        if use_funcs:
            tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
            if tools:
                args["tools"] = tools
        # gitee 不支持多模态，把content都转换成纯文字
        for m in req_messages:
            if 'content' in m and isinstance(m["content"], list):
                m["content"] = " ".join([c["text"] for c in m["content"]])
        args["messages"] = req_messages
        resp = await self._req(args)
        message = await self._make_msg(resp)
        return message
--- a/pkg/provider/modelmgr/requesters/moonshotchatcmpl.py
+++ b/pkg/provider/modelmgr/requesters/moonshotchatcmpl.py
@@ -3,13 +3,13 @@ from __future__ import annotations
 from ....core import app
 from . import chatcmpl
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ....core import entities as core_entities, app
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
-@api.requester_class("moonshot-chat-completions")
+@requester.requester_class("moonshot-chat-completions")
 class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
    """Moonshot ChatCompletion API 请求器"""
@@ -19,6 +19,7 @@ class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
    async def _closure(
        self,
        query: core_entities.Query,
        req_messages: list[dict],
        use_model: entities.LLMModelInfo,
        use_funcs: list[tools_entities.LLMFunction] = None,
--- a/pkg/provider/modelmgr/requesters/ollamachat.py
+++ b/pkg/provider/modelmgr/requesters/ollamachat.py
@@ -4,21 +4,24 @@ import asyncio
 import os
 import typing
 from typing import Union, Mapping, Any, AsyncIterator
 import uuid
 import json
 import base64
 import async_lru
 import ollama
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
-from ....core import app
+from ....core import app, entities as core_entities
 from ....utils import image
 REQUESTER_NAME: str = "ollama-chat"
-@api.requester_class(REQUESTER_NAME)
+@requester.requester_class(REQUESTER_NAME)
-class OllamaChatCompletions(api.LLMAPIRequester):
+class OllamaChatCompletions(requester.LLMAPIRequester):
    """Ollama平台 ChatCompletion API请求器"""
    client: ollama.AsyncClient
    request_cfg: dict
@@ -41,7 +44,7 @@ class OllamaChatCompletions(api.LLMAPIRequester):
            **args
        )
-    async def _closure(self, req_messages: list[dict], use_model: entities.LLMModelInfo,
+    async def _closure(self, query: core_entities.Query, req_messages: list[dict], use_model: entities.LLMModelInfo,
                       user_funcs: list[tools_entities.LLMFunction] = None) -> (
            llm_entities.Message):
        args: Any = self.request_cfg['args'].copy()
@@ -55,30 +58,59 @@ class OllamaChatCompletions(api.LLMAPIRequester):
                for me in msg["content"]:
                    if me["type"] == "text":
                        text_content.append(me["text"])
-                    elif me["type"] == "image_url":
+                    elif me["type"] == "image_base64":
-                        image_url = await self.get_base64_str(me["image_url"]['url'])
+                        image_urls.append(me["image_base64"])
-                        image_urls.append(image_url)
+                        
                msg["content"] = "\n".join(text_content)
                msg["images"] = [url.split(',')[1] for url in image_urls]
            if 'tool_calls' in msg:  # LangBot 内部以 str 存储 tool_calls 的参数，这里需要转换为 dict
                for tool_call in msg['tool_calls']:
                    tool_call['function']['arguments'] = json.loads(tool_call['function']['arguments'])
        args["messages"] = messages
-        resp: Mapping[str, Any] | AsyncIterator[Mapping[str, Any]] = await self._req(args)
+        args["tools"] = []
        if user_funcs:
            tools = await self.ap.tool_mgr.generate_tools_for_openai(user_funcs)
            if tools:
                args["tools"] = tools
        resp = await self._req(args)
        message: llm_entities.Message = await self._make_msg(resp)
        return message
    async def _make_msg(
            self,
-            chat_completions: Union[Mapping[str, Any], AsyncIterator[Mapping[str, Any]]]) -> llm_entities.Message:
+            chat_completions: ollama.ChatResponse) -> llm_entities.Message:
-        message: Any = chat_completions.pop('message', None)
+        message: ollama.Message = chat_completions.message
        if message is None:
            raise ValueError("chat_completions must contain a 'message' field")
-        message.update(chat_completions)
+        ret_msg: llm_entities.Message = None
-        ret_msg: llm_entities.Message = llm_entities.Message(**message)
+
        if message.content is not None:
            ret_msg = llm_entities.Message(
                role="assistant",
                content=message.content
            )
        if message.tool_calls is not None and len(message.tool_calls) > 0:
            tool_calls: list[llm_entities.ToolCall] = []
            for tool_call in message.tool_calls:
                tool_calls.append(llm_entities.ToolCall(
                    id=uuid.uuid4().hex,
                    type="function",
                    function=llm_entities.FunctionCall(
                        name=tool_call.function.name,
                        arguments=json.dumps(tool_call.function.arguments)
                    )
                ))
            ret_msg.tool_calls = tool_calls
        return ret_msg
    async def call(
            self,
            query: core_entities.Query,
            model: entities.LLMModelInfo,
            messages: typing.List[llm_entities.Message],
            funcs: typing.List[tools_entities.LLMFunction] = None,
@@ -92,14 +124,6 @@ class OllamaChatCompletions(api.LLMAPIRequester):
                    msg_dict["content"] = "\n".join(part["text"] for part in content)
            req_messages.append(msg_dict)
        try:
-            return await self._closure(req_messages, model)
+            return await self._closure(query, req_messages, model, funcs)
        except asyncio.TimeoutError:
            raise errors.RequesterError('请求超时')
    @async_lru.alru_cache(maxsize=128)
    async def get_base64_str(
            self,
            original_url: str,
    ) -> str:
        base64_image, image_format = await image.qq_image_url_to_base64(original_url)
        return f"data:image/{image_format};base64,{base64_image}"
--- a/pkg/provider/modelmgr/token.py
+++ b/pkg/provider/modelmgr/token.py
@@ -2,8 +2,6 @@ from __future__ import annotations
 import typing
 import pydantic
 class TokenManager():
    """鉴权 Token 管理器
--- a/pkg/provider/runnermgr.py
+++ b/pkg/provider/runnermgr.py
@@ -4,7 +4,7 @@ from . import runner
 from ..core import app
 from .runners import localagent
-
+from .runners import difysvapi
 class RunnerManager:
--- a/pkg/provider/runners/difysvapi.py
+++ b/pkg/provider/runners/difysvapi.py
@@ -0,0 +1,278 @@
 from __future__ import annotations
 import typing
 import json
 import uuid
 import base64
 from .. import runner
 from ...core import entities as core_entities
 from .. import entities as llm_entities
 from ...utils import image
 from libs.dify_service_api.v1 import client, errors
@runner.runner_class("dify-service-api")
 class DifyServiceAPIRunner(runner.RequestRunner):
    """Dify Service API 对话请求器"""
    dify_client: client.AsyncDifyServiceClient
    async def initialize(self):
        """初始化"""
        valid_app_types = ["chat", "agent", "workflow"]
        if (
            self.ap.provider_cfg.data["dify-service-api"]["app-type"]
            not in valid_app_types
        ):
            raise errors.DifyAPIError(
                f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}"
            )
        api_key = self.ap.provider_cfg.data["dify-service-api"][
            self.ap.provider_cfg.data["dify-service-api"]["app-type"]
        ]["api-key"]
        self.dify_client = client.AsyncDifyServiceClient(
            api_key=api_key,
            base_url=self.ap.provider_cfg.data["dify-service-api"]["base-url"],
        )
    async def _preprocess_user_message(
        self, query: core_entities.Query
    ) -> tuple[str, list[str]]:
        """预处理用户消息，提取纯文本，并将图片上传到 Dify 服务
        Returns:
            tuple[str, list[str]]: 纯文本和图片的 Dify 服务图片 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)
                    file_bytes = base64.b64decode(image_b64)
                    file = ("img.png", file_bytes, f"image/{image_format}")
                    file_upload_resp = await self.dify_client.upload_file(
                        file,
                        f"{query.session.launcher_type.value}_{query.session.launcher_id}",
                    )
                    image_id = file_upload_resp["id"]
                    image_ids.append(image_id)
        elif isinstance(query.user_message.content, str):
            plain_text = query.user_message.content
        return plain_text, image_ids
    async def _chat_messages(
        self, query: core_entities.Query
    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
        """调用聊天助手"""
        cov_id = query.session.using_conversation.uuid or ""
        plain_text, image_ids = await self._preprocess_user_message(query)
        files = [
            {
                "type": "image",
                "transfer_method": "local_file",
                "upload_file_id": image_id,
            }
            for image_id in image_ids
        ]
        mode = "basic"  # 标记是基础编排还是工作流编排
        basic_mode_pending_chunk = ''
        async for chunk in self.dify_client.chat_messages(
            inputs={},
            query=plain_text,
            user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
            conversation_id=cov_id,
            files=files,
            timeout=self.ap.provider_cfg.data["dify-service-api"]["chat"]["timeout"],
        ):
            self.ap.logger.debug("dify-chat-chunk: ", chunk)
            if chunk['event'] == 'workflow_started':
                mode = "workflow"
            if mode == "workflow":
                if chunk['event'] == 'node_finished':
                    if chunk['data']['node_type'] == 'answer':
                        yield llm_entities.Message(
                            role="assistant",
                            content=chunk['data']['outputs']['answer'],
                        )
            elif mode == "basic":
                if chunk['event'] == 'message':
                    basic_mode_pending_chunk += chunk['answer']
                elif chunk['event'] == 'message_end':
                    yield llm_entities.Message(
                        role="assistant",
                        content=basic_mode_pending_chunk,
                    )
                    basic_mode_pending_chunk = ''
        query.session.using_conversation.uuid = chunk["conversation_id"]
    async def _agent_chat_messages(
        self, query: core_entities.Query
    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
        """调用聊天助手"""
        cov_id = query.session.using_conversation.uuid or ""
        plain_text, image_ids = await self._preprocess_user_message(query)
        files = [
            {
                "type": "image",
                "transfer_method": "local_file",
                "upload_file_id": image_id,
            }
            for image_id in image_ids
        ]
        ignored_events = ["agent_message"]
        async for chunk in self.dify_client.chat_messages(
            inputs={},
            query=plain_text,
            user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
            response_mode="streaming",
            conversation_id=cov_id,
            files=files,
            timeout=self.ap.provider_cfg.data["dify-service-api"]["chat"]["timeout"],
        ):
            self.ap.logger.debug("dify-agent-chunk: ", chunk)
            if chunk["event"] in ignored_events:
                continue
            if chunk["event"] == "agent_thought":
                if chunk['tool'] != '' and chunk['observation'] != '':  # 工具调用结果，跳过
                    continue
                if chunk['thought'].strip() != '':  # 文字回复内容
                    msg = llm_entities.Message(
                        role="assistant",
                        content=chunk["thought"],
                    )
                    yield msg
                if chunk['tool']:
                    msg = llm_entities.Message(
                        role="assistant",
                        tool_calls=[
                            llm_entities.ToolCall(
                                id=chunk['id'],
                                type="function",
                                function=llm_entities.FunctionCall(
                                    name=chunk["tool"],
                                    arguments=json.dumps({}),
                                ),
                            )
                        ],
                    )
                    yield msg
        query.session.using_conversation.uuid = chunk["conversation_id"]
    async def _workflow_messages(
        self, query: core_entities.Query
    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
        """调用工作流"""
        if not query.session.using_conversation.uuid:
            query.session.using_conversation.uuid = str(uuid.uuid4())
        cov_id = query.session.using_conversation.uuid
        plain_text, image_ids = await self._preprocess_user_message(query)
        files = [
            {
                "type": "image",
                "transfer_method": "local_file",
                "upload_file_id": image_id,
            }
            for image_id in image_ids
        ]
        ignored_events = ["text_chunk", "workflow_started"]
        async for chunk in self.dify_client.workflow_run(
            inputs={
                "langbot_user_message_text": plain_text,
                "langbot_session_id": f"{query.session.launcher_type.value}_{query.session.launcher_id}",
                "langbot_conversation_id": cov_id,
            },
            user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
            files=files,
            timeout=self.ap.provider_cfg.data["dify-service-api"]["workflow"]["timeout"],
        ):
            self.ap.logger.debug("dify-workflow-chunk: ", chunk)
            if chunk["event"] in ignored_events:
                continue
            if chunk["event"] == "node_started":
                if (
                    chunk["data"]["node_type"] == "start"
                    or chunk["data"]["node_type"] == "end"
                ):
                    continue
                msg = llm_entities.Message(
                    role="assistant",
                    content=None,
                    tool_calls=[
                        llm_entities.ToolCall(
                            id=chunk["data"]["node_id"],
                            type="function",
                            function=llm_entities.FunctionCall(
                                name=chunk["data"]["title"],
                                arguments=json.dumps({}),
                            ),
                        )
                    ],
                )
                yield msg
            elif chunk["event"] == "workflow_finished":
                if chunk['data']['error']:
                    raise errors.DifyAPIError(chunk['data']['error'])
                msg = llm_entities.Message(
                    role="assistant",
                    content=chunk["data"]["outputs"][
                        self.ap.provider_cfg.data["dify-service-api"]["workflow"][
                            "output-key"
                        ]
                    ],
                )
                yield msg
    async def run(
        self, query: core_entities.Query
    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
        """运行请求"""
        if self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "chat":
            async for msg in self._chat_messages(query):
                yield msg
        elif self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "agent":
            async for msg in self._agent_chat_messages(query):
                yield msg
        elif self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "workflow":
            async for msg in self._workflow_messages(query):
                yield msg
        else:
            raise errors.DifyAPIError(
                f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}"
            )
--- a/pkg/provider/runners/localagent.py
+++ b/pkg/provider/runners/localagent.py
@@ -23,7 +23,7 @@ class LocalAgentRunner(runner.RequestRunner):
        req_messages = query.prompt.messages.copy() + query.messages.copy() + [query.user_message]
        # 首次请求
-        msg = await query.use_model.requester.call(query.use_model, req_messages, query.use_funcs)
+        msg = await query.use_model.requester.call(query, query.use_model, req_messages, query.use_funcs)
        yield msg
@@ -61,7 +61,7 @@ class LocalAgentRunner(runner.RequestRunner):
                    req_messages.append(err_msg)
            # 处理完所有调用，再次请求
-            msg = await query.use_model.requester.call(query.use_model, req_messages, query.use_funcs)
+            msg = await query.use_model.requester.call(query, query.use_model, req_messages, query.use_funcs)
            yield msg
--- a/pkg/provider/sysprompt/entities.py
+++ b/pkg/provider/sysprompt/entities.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 from ...provider import entities
--- a/pkg/provider/tools/entities.py
+++ b/pkg/provider/tools/entities.py
@@ -4,7 +4,7 @@ import abc
 import typing
 import asyncio
-import pydantic
+import pydantic.v1 as pydantic
 from ...core import entities as core_entities
--- a/pkg/provider/tools/toolmgr.py
+++ b/pkg/provider/tools/toolmgr.py
@@ -118,10 +118,9 @@ class ToolManager:
            traceback.print_exc()
            return f"error occurred when executing function {name}: {e}"
        finally:
            plugin = None
-            for p in self.ap.plugin_mgr.plugins:
+            for p in self.ap.plugin_mgr.plugins():
                if function in p.content_functions:
                    plugin = p
                    break
@@ -137,4 +136,4 @@ class ToolManager:
                    },
                    function_name=function.name,
                    function_description=function.description,
-                )
+                )
--- a/pkg/utils/announce.py
+++ b/pkg/utils/announce.py
@@ -6,7 +6,7 @@ import os
 import base64
 import logging
-import pydantic
+import pydantic.v1 as pydantic
 import requests
 from ..core import app
@@ -62,11 +62,11 @@ class AnnouncementManager:
    async def fetch_saved(
        self
    ) -> list[Announcement]:
-        if not os.path.exists("res/announcement_saved.json"):
+        if not os.path.exists("data/labels/announcement_saved.json"):
-            with open("res/announcement_saved.json", "w", encoding="utf-8") as f:
+            with open("data/labels/announcement_saved.json", "w", encoding="utf-8") as f:
                f.write("[]")
-        with open("res/announcement_saved.json", "r", encoding="utf-8") as f:
+        with open("data/labels/announcement_saved.json", "r", encoding="utf-8") as f:
            content = f.read()
        if not content:
@@ -79,7 +79,7 @@ class AnnouncementManager:
        content: list[Announcement]
    ):
-        with open("res/announcement_saved.json", "w", encoding="utf-8") as f:
+        with open("data/labels/announcement_saved.json", "w", encoding="utf-8") as f:
            f.write(json.dumps([
                item.to_dict() for item in content
            ], indent=4, ensure_ascii=False))
--- a/pkg/utils/constants.py
+++ b/pkg/utils/constants.py
@@ -1,4 +1,4 @@
-semantic_version = "v3.4.0"
+semantic_version = "v3.4.1.5"
 debug_mode = False
--- a/pkg/utils/image.py
+++ b/pkg/utils/image.py
@@ -1,15 +1,46 @@
 import base64
 import typing
 import io
 from urllib.parse import urlparse, parse_qs
 import ssl
 import aiohttp
 import PIL.Image
 def get_qq_image_downloadable_url(image_url: str) -> tuple[str, dict]:
    """获取QQ图片的下载链接"""
    parsed = urlparse(image_url)
    query = parse_qs(parsed.query)
    return f"http://{parsed.netloc}{parsed.path}", query
 async def get_qq_image_bytes(image_url: str, query: dict={}) -> tuple[bytes, str]:
    """[弃用]获取QQ图片的bytes"""
    image_url, query_in_url = get_qq_image_downloadable_url(image_url)
    query = {**query, **query_in_url}
    ssl_context = ssl.create_default_context()
    ssl_context.check_hostname = False
    ssl_context.verify_mode = ssl.CERT_NONE
    async with aiohttp.ClientSession(trust_env=False) as session:
        async with session.get(image_url, params=query, ssl=ssl_context) as resp:
            resp.raise_for_status()
            file_bytes = await resp.read()
            content_type = resp.headers.get('Content-Type')
            if not content_type:
                image_format = 'jpeg'
            elif not content_type.startswith('image/'):
                pil_img = PIL.Image.open(io.BytesIO(file_bytes))
                image_format = pil_img.format.lower()
            else: 
                image_format = content_type.split('/')[-1]
            return file_bytes, image_format
 async def qq_image_url_to_base64(
    image_url: str
 ) -> typing.Tuple[str, str]:
-    """将QQ图片URL转为base64，并返回图片格式
+    """[弃用]将QQ图片URL转为base64，并返回图片格式
    Args:
        image_url (str): QQ图片URL
@@ -17,30 +48,23 @@ async def qq_image_url_to_base64(
    Returns:
        typing.Tuple[str, str]: base64编码和图片格式
    """
-    parsed = urlparse(image_url)
+    image_url, query = get_qq_image_downloadable_url(image_url)
    query = parse_qs(parsed.query)
    # Flatten the query dictionary
    query = {k: v[0] for k, v in query.items()}
-    ssl_context = ssl.create_default_context()
+    file_bytes, image_format = await get_qq_image_bytes(image_url, query)
    ssl_context.check_hostname = False
    ssl_context.verify_mode = ssl.CERT_NONE
    async with aiohttp.ClientSession(trust_env=False) as session:
        async with session.get(
            f"http://{parsed.netloc}{parsed.path}",
            params=query,
            ssl=ssl_context
        ) as resp:
            resp.raise_for_status()  # 检查HTTP错误
            file_bytes = await resp.read()
            content_type = resp.headers.get('Content-Type')
            if not content_type or not content_type.startswith('image/'):
                image_format = 'jpeg'
            else: 
                image_format = content_type.split('/')[-1]
    base64_str = base64.b64encode(file_bytes).decode()
    return base64_str, image_format
 async def extract_b64_and_format(image_base64_data: str) -> typing.Tuple[str, str]:
    """提取base64编码和图片格式
    data:image/jpeg;base64,xxx
    提取出base64编码和图片格式
    """
    base64_str = image_base64_data.split(',')[-1]
    image_format = image_base64_data.split(':')[-1].split(';')[0].split('/')[-1]
    return base64_str, image_format
--- a/pkg/utils/ip.py
+++ b/pkg/utils/ip.py
@@ -2,7 +2,7 @@ import aiohttp
 async def get_myip() -> str:
    try:
-        async with aiohttp.ClientSession() as session:
+        async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=10)) as session:
            async with session.get("https://ip.useragentinfo.com/myip") as response:
                return await response.text()
    except Exception as e:
--- a/pkg/utils/logcache.py
+++ b/pkg/utils/logcache.py
@@ -1,7 +1,5 @@
 from __future__ import annotations
 import pydantic
 LOG_PAGE_SIZE = 20
 MAX_CACHED_PAGES = 10
--- a/pkg/utils/pkgmgr.py
+++ b/pkg/utils/pkgmgr.py
@@ -22,13 +22,3 @@ def install_requirements(file):
    pipmain(['install', '-r', file, "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
                    "--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
    # log.reset_logging()
 if __name__ == "__main__":
    try:
        install("openai11")
    except Exception as e:
        print(111)
        print(e)
    print(222)
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,4 @@
 # direct
 requests
 openai>1.0.0
 anthropic
@@ -9,7 +10,7 @@ Pillow
 tiktoken
 PyYaml
 aiohttp
-pydantic<2.0
+pydantic>2.0
 websockets
 urllib3
 psutil
@@ -22,4 +23,7 @@ quart-cors
 aiofiles
 aioshutil
 argon2-cffi
-pyjwt
+pyjwt
 # indirect
 taskgroup==0.0.0a4
--- a/res/social.png
+++ b/res/social.png
--- a/templates/metadata/llm-models.json
+++ b/templates/metadata/llm-models.json
@@ -8,69 +8,59 @@
            "vision_supported": false
        },
        {
-            "name": "gpt-3.5-turbo-0125",
+            "name": "gpt-4o",
            "tool_call_supported": true,
-            "vision_supported": false
+            "vision_supported": true
        },
        {
-            "name": "gpt-3.5-turbo",
+            "name": "gpt-4o-2024-11-20",
            "tool_call_supported": true,
-            "vision_supported": false
+            "vision_supported": true
        },
        {
-            "name": "gpt-3.5-turbo-1106",
+            "name": "gpt-4o-2024-08-06",
            "tool_call_supported": true,
-            "vision_supported": false
+            "vision_supported": true
        },
        {
            "name": "gpt-4o-2024-05-13",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "chatgpt-4o-latest",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4o-mini",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "o1-preview",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "o1-mini",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-turbo",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-turbo-2024-04-09",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-turbo-preview",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-0125-preview",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-1106-preview",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
-            "name": "gpt-4o",
+            "name": "gpt-3.5-turbo",
            "tool_call_supported": true,
-            "vision_supported": true
+            "vision_supported": false
        },
        {
            "name": "gpt-4-0613",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-32k",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "name": "gpt-4-32k-0613",
            "tool_call_supported": true,
            "vision_supported": true
        },
        {
            "model_name": "SparkDesk",
@@ -81,19 +71,19 @@
            "name": "OneAPI/gemini-pro"
        },
        {
-            "name": "claude-3-opus-20240229",
+            "name": "claude-3-opus-latest",
            "requester": "anthropic-messages",
            "token_mgr": "anthropic",
            "vision_supported": true
        },
        {
-            "name": "claude-3-sonnet-20240229",
+            "name": "claude-3-5-sonnet-latest",
            "requester": "anthropic-messages",
            "token_mgr": "anthropic",
            "vision_supported": true
        },
        {
-            "name": "claude-3-haiku-20240307",
+            "name": "claude-3-5-haiku-latest",
            "requester": "anthropic-messages",
            "token_mgr": "anthropic",
            "vision_supported": true
@@ -120,6 +110,11 @@
            "name": "deepseek-chat",
            "requester": "deepseek-chat-completions",
            "token_mgr": "deepseek"
        },
        {
            "name": "deepseek-coder",
            "requester": "deepseek-chat-completions",
            "token_mgr": "deepseek"
        }
    ]
 }
--- a/templates/platform.json
+++ b/templates/platform.json
@@ -10,7 +10,7 @@
        },
        {
            "adapter": "aiocqhttp",
-            "enable": false,
+            "enable": true,
            "host": "0.0.0.0",
            "port": 2280,
            "access-token": ""
--- a/templates/provider.json
+++ b/templates/provider.json
@@ -13,6 +13,9 @@
        ],
        "deepseek": [
            "sk-1234567890"
        ],
        "gitee-ai": [
            "XXXXX"
        ]
    },
    "requester": {
@@ -42,12 +45,34 @@
            "base-url": "http://127.0.0.1:11434",
            "args": {},
            "timeout": 600
        },
        "gitee-ai-chat-completions": {
            "base-url": "https://ai.gitee.com/v1",
            "args": {},
            "timeout": 120
        }
    },
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "prompt-mode": "normal",
    "prompt": {
        "default": "" 
    },
-    "runner": "local-agent"
+    "runner": "local-agent",
    "dify-service-api": {
        "base-url": "https://api.dify.ai/v1",
        "app-type": "chat",
        "chat": {
            "api-key": "app-1234567890",
            "timeout": 120
        },
        "agent": {
            "api-key": "app-1234567890",
            "timeout": 120
        },
        "workflow": {
            "api-key": "app-1234567890",
            "output-key": "summary",
            "timeout": 120
        }
    }
 }
--- a/templates/schema/provider.json
+++ b/templates/schema/provider.json
@@ -54,6 +54,15 @@
                        "type": "string"
                    },
                    "default": []
                },
                "gitee": {
                    "type": "array",
                    "title": "Gitee API 密钥",
                    "description": "Gitee API 密钥",
                    "items": {
                        "type": "string"
                    },
                    "default": []
                }
            }
        },
@@ -160,6 +169,25 @@
                            "default": 600
                        }
                    }
                },
                "gitee-ai-chat-completions": {
                    "type": "object",
                    "title": "Gitee AI API 请求配置",
                    "description": "仅可编辑 URL 和 超时时间，额外请求参数不支持可视化编辑，请到编辑器编辑",
                    "properties": {
                        "base-url": {
                            "type": "string",
                            "title": "API URL"
                        },
                        "args": {
                            "type": "object"
                        },
                        "timeout": {
                            "type": "number",
                            "title": "API 请求超时时间",
                            "default": 120
                        }
                    }
                }
            }
        },
@@ -202,6 +230,73 @@
            "title": "请求运行器",
            "description": "设置请求运行器。值为local-agent时，使用内置默认运行器；支持插件扩展",
            "default": "local-agent"
        },
        "dify-service-api": {
            "type": "object",
            "title": "Dify Service API 配置",
            "properties": {
                "base-url": {
                    "type": "string",
                    "title": "API URL",
                    "description": "Dify Service API 的 基础URL，可以在 Dify 应用 API 页面查看",
                    "default": "https://api.dify.ai/v1"
                },
                "app-type": {
                    "type": "string",
                    "title": "应用类型",
                    "description": "支持 chat 和 workflow，chat：聊天助手（含高级编排）和 Agent；workflow：工作流；请填写下方对应的应用类型 API 参数",
                    "enum": ["chat", "workflow"],
                    "default": "chat"
                },
                "chat": {
                    "type": "object",
                    "title": "聊天助手 API 参数",
                    "properties": {
                        "api-key": {
                            "type": "string",
                            "title": "API 密钥"
                        },
                        "timeout": {
                            "type": "number",
                            "title":"API 请求超时时间"
                        }
                    }
                },
                "agent": {
                    "type": "object",
                    "title": "Agent API 参数",
                    "properties": {
                        "api-key": {
                            "type": "string",
                            "title": "API 密钥"
                        },
                        "timeout": {
                            "type": "number",
                            "title":"API 请求超时时间"
                        }
                    }
                },
                "workflow": {
                    "type": "object",
                    "title": "工作流 API 参数",
                    "properties": {
                        "api-key": {
                            "type": "string",
                            "title": "API 密钥"
                        },
                        "output-key": {
                            "type": "string",
                            "title": "工作流输出键",
                            "description": "设置工作流输出键，用于从 Dify Workflow 结束节点返回的 JSON 数据中提取输出内容",
                            "default": "summary"
                        },
                        "timeout": {
                            "type": "number",
                            "title": "API 请求超时时间"
                        }
                    }
                }
            }
        }
    }
 }
--- a/web/src/components/LoginDialog.vue
+++ b/web/src/components/LoginDialog.vue
@@ -47,17 +47,21 @@ const login = () => {
        user: user.value,
        password: password.value
    }).then(res => {
-        if (res.data.data.token) {
+        if (res.data.code == 0) {
            emit('success', '登录成功')
            localStorage.setItem('user-token', res.data.data.token)
            setTimeout(() => {
                location.reload()
            }, 1000)
        } else {
-            emit('error', '登录失败')
+            emit('error', res.data.msg)
        }
    }).catch(err => {
-        emit('error', err.response.data.message)
+        if (err.response.data.msg) {
            emit('error', err.response.data.msg)
        } else {
            emit('error', '登录失败')
        }
    })
 }
Author	SHA1	Message	Date
Junyan Qin	ed719fd44e	ci: perf workflows	2025-01-02 11:03:40 +08:00
Junyan Qin	5dc6bed0d1	Merge pull request #969 from RockChinQ/perf/unified-persistence-dir perf: move label file to data dir	2025-01-02 10:52:16 +08:00
Junyan Qin	b1244a4d4e	perf: move label file to data dir	2025-01-02 10:51:09 +08:00
Junyan Qin	6aa325a4b1	perf: no exit after files created	2025-01-02 10:41:52 +08:00
Junyan Qin	88a11561f9	chore: remove stranger message callback method	2024-12-29 21:31:47 +08:00
Junyan Qin	fd30022065	fix: potential vulnerabilities in CI	2024-12-27 22:54:48 +08:00
Junyan Qin	9486312737	chore: release v3.4.1.5	2024-12-26 22:08:38 +08:00
Junyan Qin	e37070a985	fix(requester): unmatched params (#967 )	2024-12-26 15:14:06 +08:00
Junyan Qin	ffb98ecca2	chore: release v3.4.1.4	2024-12-24 23:37:23 +08:00
Junyan Qin	29bd69ef97	fix: bad await in aiocqhttp adapter	2024-12-24 23:37:02 +08:00
Junyan Qin	e46c9530cc	更新 README.md	2024-12-24 20:48:18 +08:00
Junyan Qin	7ddd303e2d	Update README.md	2024-12-24 20:46:40 +08:00
Junyan Qin	66798a1d0f	Update README.md	2024-12-24 20:41:21 +08:00
Junyan Qin	bd05afdf14	Update README.md	2024-12-24 20:23:31 +08:00
Junyan Qin	136e48f7ee	Update README.md	2024-12-24 20:19:41 +08:00
Junyan Qin	facb5f177a	Update README.md	2024-12-24 20:16:20 +08:00
Junyan Qin	10ce31cc46	chore: release v3.4.1.3	2024-12-24 19:26:39 +08:00
Junyan Qin	3b4f3c516b	Update README.md	2024-12-24 19:08:35 +08:00
Junyan Qin	a1e3981ce4	chore: 更新issue模板	2024-12-24 15:51:19 +08:00
Junyan Qin	89f26781fe	chore: 更新issue模板	2024-12-24 15:50:41 +08:00
Junyan Qin	914292a80b	chore: 修改issue模板	2024-12-24 15:47:59 +08:00
Junyan Qin	8227e3299b	Merge pull request #963 from RockChinQ/feat/dl-image-by-adapters fix: 下载 QQ 图片时的400问题	2024-12-24 11:28:31 +08:00
Junyan Qin	07ca48d652	fix: 无法传递qq图片的问题	2024-12-24 11:26:33 +08:00
Junyan Qin	243f45c7db	fix: 使用 header 避免400	2024-12-24 11:09:45 +08:00
Junyan Qin	12cfce3622	feat: 重构图片消息传递逻辑 (#957 , #955 )	2024-12-24 10:57:17 +08:00
Junyan Qin	535c4a8a11	fix: anthropic sdk删除proxies导致无法启动 (#962 , #960 )	2024-12-23 21:35:16 +08:00
Junyan Qin	6606c671b2	doc: README添加demo	2024-12-23 10:43:52 +08:00
Junyan Qin	242f24840d	fix: 为dify agent设置项更新schema	2024-12-17 16:24:00 +08:00
Junyan Qin	486f636b2d	doc(README): 添加 railway 部署按钮	2024-12-17 14:49:41 +08:00
Junyan Qin	b293d7a7cd	doc: README	2024-12-17 01:30:39 +08:00
Junyan Qin	f4fa0b42a6	chore: release v3.4.1.2	2024-12-17 01:22:31 +08:00
Junyan Qin	209e89712d	Merge pull request #953 from RockChinQ/perf/dify-sv-api perf: 完善 dify api runner	2024-12-17 01:21:01 +08:00
Junyan Qin	3314a7a9e9	fix: 在设置model为非视觉模型时，非local-agent的runner无法获得图片消息 (#948 )	2024-12-17 01:17:57 +08:00
Junyan Qin	793d64303e	perf: 完善dify api runner	2024-12-17 01:04:08 +08:00
Junyan Qin	6642498f00	feat: 添加对 agent 应用的支持 (#951 )	2024-12-17 00:41:28 +08:00
Junyan Qin	32b400dcb1	fix: dify的timeout无法自定义 (#949 )	2024-12-16 23:54:56 +08:00
Junyan Qin	0dcd2d8179	doc: 添加 zeabur 部署方式	2024-12-16 20:02:04 +08:00
Junyan Qin	736f8b613c	feat: 为 ollama 支持视觉和函数调用 (#950 )	2024-12-15 17:05:56 +08:00
Junyan Qin	9e7d9a937d	chore: release v3.4.1.1	2024-12-15 12:18:41 +08:00
Junyan Qin	4767983279	deps: 限制 taskgroup==0.0.0a4	2024-12-15 11:54:40 +08:00
Junyan Qin	e37f35d95a	doc: 修改使用文档站的social.png	2024-12-14 19:31:31 +08:00
Junyan Qin	ad1e609fb9	doc: 优化 README (#947 ) * doc: update readme * doc: update readme * doc: replace banner * doc: update social * Update README.md * perf: 优化 features * Update README.md * doc: update * Update README.md	2024-12-14 19:28:29 +08:00
Junyan Qin	f9bc4a5acd	chore: release v3.4.1	2024-12-14 18:35:59 +08:00
Junyan Qin	2b79185f6a	typo: dify配置	2024-12-14 18:35:39 +08:00
Junyan Qin	840f638472	Merge pull request #938 from bright141/master 新增difyapi 的Chat 请求运行器	2024-12-14 18:24:27 +08:00
Junyan Qin	908169a55e	chore: 删除 difyapi	2024-12-14 17:52:18 +08:00
Junyan Qin	dbf9f2398e	feat: 添加对 chat 和 workflow 的支持	2024-12-14 17:51:11 +08:00
bright141	2ea3ff0b5c	Update runnermgr.py	2024-12-04 15:50:45 +08:00
Junyan Qin	91bf72c710	Update bug-report.yml	2024-12-02 11:27:51 +08:00
Junyan Qin	baabb70622	Update bug-report.yml	2024-12-02 11:26:54 +08:00
Junyan Qin	94ea64a6a9	Update bug-report.yml	2024-12-02 11:26:14 +08:00
Junyan Qin	f97896b2c7	Update bug-report.yml	2024-12-02 11:25:52 +08:00
bright141	9027db8587	新增difyapi 的Chat 请求运行器	2024-12-01 17:45:49 +08:00
Junyan Qin	cd46e1c131	feat: 默认启用 aiocqhttp 适配器	2024-11-23 12:18:33 +08:00
Junyan Qin	59211191a4	chore: release v3.4.0.2	2024-11-23 00:23:47 +08:00
Junyan Qin	a3ca7e82c7	hotfix: 调用工具时bug	2024-11-23 00:23:08 +08:00
Junyan Qin	0094056def	chore: release v3.4.0.1	2024-11-22 23:55:24 +08:00
Junyan Qin	a9f305a1c6	feat: 添加对pydantic v1的兼容性	2024-11-22 23:37:46 +08:00
Junyan Qin	e8cc048901	deps: bump pydantic to v2	2024-11-22 23:29:12 +08:00
Junyan Qin	05da43f606	chore: 更新模型信息	2024-11-22 22:33:05 +08:00
Junyan Qin	a81faa7d8e	fix: gitee ai 配置 schema	2024-11-22 20:01:35 +08:00
Junyan Qin	18ba7d1da7	Merge pull request #929 from RockChinQ/feat/gitee-ai feat: 添加对 Gitee AI 的支持	2024-11-22 19:59:25 +08:00
Junyan Qin	875adfcbaa	feat: 添加对 Gitee AI 的支持	2024-11-21 23:28:19 +08:00
Junyan Qin	6e9c213893	fix: 登录失败时无提示	2024-11-20 21:03:02 +08:00
Junyan Qin	753066ccb9	fix: webui 访问提示在Windows上的编码问题	2024-11-19 19:33:58 +08:00
Junyan Qin	8b36782c25	chore: 更新 docker-compose.yaml	2024-11-18 23:31:49 +08:00
Junyan Qin	da9dde6bd2	doc: update README	2024-11-17 21:30:53 +08:00
Junyan Qin	07f6e69b93	doc: update README.md	2024-11-17 21:11:21 +08:00
		`@@ -0,0 +1,3 @@`
							`# Dify Service API Python SDK`

							`这个 SDK 尚不完全支持 Dify Service API 的所有功能。`
		`@@ -0,0 +1,2 @@`
							`from .v1 import client`
							`from .v1 import errors`
`@@ -1,4 +1,4 @@`
	`import pydantic`	`import pydantic.v1 as pydantic`

	`from ...platform.types import message as platform_message`	`from ...platform.types import message as platform_message`
`@@ -1,4 +1,4 @@`
	`semantic_version = "v3.4.0"`	`semantic_version = "v3.4.1.5"`

	`debug_mode = False`	`debug_mode = False`