chore: release 3.2.3

Release 3.2.3

README.md

@@ -2,11 +2,12 @@
 <p align="center">
 <img src="https://qchatgpt.rockchin.top/logo.png" alt="QChatGPT" width="180" />
 </p>
-
 <div align="center">
 
 # QChatGPT
 
+<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/QChatGPT)](https://github.com/RockChinQ/QChatGPT/releases/latest)
 <a href="https://hub.docker.com/repository/docker/rockchin/qchatgpt">
     <img src="https://img.shields.io/docker/pulls/rockchin/qchatgpt?color=blue" alt="docker pull">
@@ -14,12 +15,12 @@
  ![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)
 ![Wakapi Count](https://wakapi.rockchin.top/api/badge/RockChinQ/interval:any/project:QChatGPT)
 <br/>
-<img src="https://img.shields.io/badge/python-3.9 | 3.10 | 3.11-blue.svg" alt="python">
+<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="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=nC80H57wmKPwRDLFeQrDDjVl81XuC21P&authKey=2wTUTfoQ5v%2BD4C5zfpuR%2BSPMDqdXgDXA%2FS2wHI1NxTfWIG%2B%2FqK08dgyjMMOzhXa9&noverify=0&group_code=248432104">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-248432104-purple">
+<a href="https://qm.qq.com/q/1yxEaIgXMA">
+<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"/> 
@@ -38,7 +39,17 @@
 
 <a href="https://github.com/RockChinQ/qcg-installer">安装器源码</a> ｜
 <a href="https://github.com/RockChinQ/qcg-tester">测试工程源码</a> ｜
+<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://qchatgpt.rockchin.top/assets/image/QChatGPT-1211.png" width="500px"/>
+<hr/>
+
+<div align="center">
+京东云4090单卡15C90G实例 <br/>
+    仅需1.89/小时，包月1225元起  <br/>
+    可选预装Stable Diffusion等应用，随用随停，计费透明，欢迎首选支持 <br/>
+https://3.cn/1ZOi6-Gj
+</div>
+
+<img alt="回复效果（带有联网插件）" src="https://qchatgpt.rockchin.top/assets/image/QChatGPT-0516.png" width="500px"/>
 </div>

main.py

@@ -51,17 +51,6 @@ async def main_entry():
 
 if __name__ == '__main__':
     import os
-    import psutil
-
-    if os.name == 'nt':
-        allowed_parent_process = ['cmd.exe', 'powershell.exe', 'wsl.exe']
-
-        parent_process = psutil.Process(os.getppid()).name()
-
-        if parent_process not in allowed_parent_process:
-            print("请在命令行中运行此程序。")
-            input("按任意键退出...")
-            exit(0)
 
     # 检查本目录是否有main.py，且包含QChatGPT字符串
     invalid_pwd = False
@@ -74,7 +63,7 @@ if __name__ == '__main__':
             if "QChatGPT/main.py" not in content:
                 invalid_pwd = True
     if invalid_pwd:
-        print("请在QChatGPT项目根目录下运行此程序。")
+        print("请在QChatGPT项目根目录下以命令形式运行此程序。")
         input("按任意键退出...")
         exit(0)
 

pkg/audit/center/v2.py

@@ -9,8 +9,6 @@ from .groups import plugin
 from ...core import app
 
 
-BACKEND_URL = "https://api.qchatgpt.rockchin.top/api/v2"
-
 class V2CenterAPI:
     """中央服务器 v2 API 交互类"""
     
@@ -23,7 +21,7 @@ class V2CenterAPI:
     plugin: plugin.V2PluginDataAPI = None
     """插件 API 组"""
 
-    def __init__(self, ap: app.Application, basic_info: dict = None, runtime_info: dict = None):
+    def __init__(self, ap: app.Application, backend_url: str, basic_info: dict = None, runtime_info: dict = None):
         """初始化"""
 
         logging.debug("basic_info: %s, runtime_info: %s", basic_info, runtime_info)
@@ -31,7 +29,7 @@ class V2CenterAPI:
         apigroup.APIGroup._basic_info = basic_info
         apigroup.APIGroup._runtime_info = runtime_info
 
-        self.main = main.V2MainDataAPI(BACKEND_URL, ap)
-        self.usage = usage.V2UsageDataAPI(BACKEND_URL, ap)
-        self.plugin = plugin.V2PluginDataAPI(BACKEND_URL, ap)
+        self.main = main.V2MainDataAPI(backend_url, ap)
+        self.usage = usage.V2UsageDataAPI(backend_url, ap)
+        self.plugin = plugin.V2PluginDataAPI(backend_url, ap)
 

pkg/command/entities.py

@@ -13,11 +13,16 @@ class CommandReturn(pydantic.BaseModel):
     """命令返回值
     """
 
-    text: typing.Optional[str]
+    text: typing.Optional[str] = None
     """文本
     """
 
-    image: typing.Optional[mirai.Image]
+    image: typing.Optional[mirai.Image] = None
+    """弃用"""
+
+    image_url: typing.Optional[str] = None
+    """图片链接
+    """
 
     error: typing.Optional[errors.CommandError]= None
     """错误

pkg/command/operators/default.py

@@ -24,7 +24,7 @@ class DefaultOperator(operator.CommandOperator):
 
             content = ""
             for msg in prompt.messages:
-                content += f"  {msg.role}: {msg.content}"
+                content += f"  {msg.readable_str()}\n"
 
             reply_str += f"名称: {prompt.name}\n内容: \n{content}\n\n"
 

pkg/command/operators/last.py

@@ -30,7 +30,7 @@ class LastOperator(operator.CommandOperator):
                         context.session.using_conversation = context.session.conversations[index-1]
                         time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
 
-                        yield entities.CommandReturn(text=f"已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}")
+                        yield entities.CommandReturn(text=f"已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].readable_str()}")
                         return
         else:
             yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))

pkg/command/operators/list.py

@@ -42,7 +42,7 @@ class ListOperator(operator.CommandOperator):
                 using_conv_index = index
 
             if index >= page * record_per_page and index < (page + 1) * record_per_page:
-                content += f"{index} {time_str}: {conv.messages[0].content if len(conv.messages) > 0 else '无内容'}\n"
+                content += f"{index} {time_str}: {conv.messages[0].readable_str() if len(conv.messages) > 0 else '无内容'}\n"
             index += 1
 
         if content == '':
@@ -51,6 +51,6 @@ class ListOperator(operator.CommandOperator):
             if context.session.using_conversation is None:
                 content += "\n当前处于新会话"
             else:
-                content += f"\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')}: {context.session.using_conversation.messages[0].content if len(context.session.using_conversation.messages) > 0 else '无内容'}"
+                content += f"\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')}: {context.session.using_conversation.messages[0].readable_str() if len(context.session.using_conversation.messages) > 0 else '无内容'}"
         
         yield entities.CommandReturn(text=f"第 {page + 1} 页 (时间倒序):\n{content}")

pkg/config/impls/json.py

@@ -27,7 +27,7 @@ class JSONConfigFile(file_model.ConfigFile):
         else:
             raise ValueError("template_file_name or template_data must be provided")
 
-    async def load(self) -> dict:
+    async def load(self, completion: bool=True) -> dict:
 
         if not self.exists():
             await self.create()
@@ -37,7 +37,12 @@ class JSONConfigFile(file_model.ConfigFile):
                 self.template_data = json.load(f)
 
         with open(self.config_file_name, "r", encoding="utf-8") as f:
+            try:
                 cfg = json.load(f)
+            except json.JSONDecodeError as e:
+                raise Exception(f"配置文件 {self.config_file_name} 语法错误: {e}")
+
+        if completion:
 
             for key in self.template_data:
                 if key not in cfg:

pkg/config/impls/pymodule.py

@@ -25,7 +25,7 @@ class PythonModuleConfigFile(file_model.ConfigFile):
     async def create(self):
         shutil.copyfile(self.template_file_name, self.config_file_name)
 
-    async def load(self) -> dict:
+    async def load(self, completion: bool=True) -> dict:
         module_name = os.path.splitext(os.path.basename(self.config_file_name))[0]
         module = importlib.import_module(module_name)
         
@@ -43,6 +43,7 @@ class PythonModuleConfigFile(file_model.ConfigFile):
             cfg[key] = getattr(module, key)
 
         # 从模板模块文件中进行补全
+        if completion:
             module_name = os.path.splitext(os.path.basename(self.template_file_name))[0]
             module = importlib.import_module(module_name)
 

pkg/config/manager.py

@@ -20,8 +20,8 @@ class ConfigManager:
         self.file = cfg_file
         self.data = {}
 
-    async def load_config(self):
-        self.data = await self.file.load()
+    async def load_config(self, completion: bool=True):
+        self.data = await self.file.load(completion=completion)
 
     async def dump_config(self):
         await self.file.save(self.data)
@@ -30,7 +30,7 @@ class ConfigManager:
         self.file.save_sync(self.data)
 
 
-async def load_python_module_config(config_name: str, template_name: str) -> ConfigManager:
+async def load_python_module_config(config_name: str, template_name: str, completion: bool=True) -> ConfigManager:
     """加载Python模块配置文件"""
     cfg_inst = pymodule.PythonModuleConfigFile(
         config_name,
@@ -38,12 +38,12 @@ async def load_python_module_config(config_name: str, template_name: str) -> Con
     )
 
     cfg_mgr = ConfigManager(cfg_inst)
-    await cfg_mgr.load_config()
+    await cfg_mgr.load_config(completion=completion)
 
     return cfg_mgr
 
 
-async def load_json_config(config_name: str, template_name: str=None, template_data: dict=None) -> ConfigManager:
+async def load_json_config(config_name: str, template_name: str=None, template_data: dict=None, completion: bool=True) -> ConfigManager:
     """加载JSON配置文件"""
     cfg_inst = json_file.JSONConfigFile(
         config_name,
@@ -52,6 +52,6 @@ async def load_json_config(config_name: str, template_name: str=None, template_d
     )
 
     cfg_mgr = ConfigManager(cfg_inst)
-    await cfg_mgr.load_config()
+    await cfg_mgr.load_config(completion=completion)
 
     return cfg_mgr

pkg/config/migrations/m005_deepseek_cfg_completion.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("deepseek-config-completion", 5)
+class DeepseekConfigCompletionMigration(migration.Migration):
+    """OpenAI配置迁移
+    """
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移
+        """
+        return 'deepseek-chat-completions' not in self.ap.provider_cfg.data['requester'] \
+            or 'deepseek' not in self.ap.provider_cfg.data['keys']
+
+    async def run(self):
+        """执行迁移
+        """
+        if 'deepseek-chat-completions' not in self.ap.provider_cfg.data['requester']:
+            self.ap.provider_cfg.data['requester']['deepseek-chat-completions'] = {
+                'base-url': 'https://api.deepseek.com',
+                'args': {},
+                'timeout': 120,
+            }
+
+        if 'deepseek' not in self.ap.provider_cfg.data['keys']:
+            self.ap.provider_cfg.data['keys']['deepseek'] = []
+
+        await self.ap.provider_cfg.dump_config()

pkg/config/migrations/m006_vision_config.py

@@ -0,0 +1,19 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("vision-config", 6)
+class VisionConfigMigration(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 "enable-vision" not in self.ap.provider_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        if "enable-vision" not in self.ap.provider_cfg.data:
+            self.ap.provider_cfg.data["enable-vision"] = False
+
+        await self.ap.provider_cfg.dump_config()

pkg/config/migrations/m007_qcg_center_url.py

@@ -0,0 +1,20 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("qcg-center-url-config", 7)
+class QCGCenterURLConfigMigration(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 "qcg-center-url" not in self.ap.system_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        
+        if "qcg-center-url" not in self.ap.system_cfg.data:
+            self.ap.system_cfg.data["qcg-center-url"] = "https://api.qchatgpt.rockchin.top/api/v2"
+        
+        await self.ap.system_cfg.dump_config()

pkg/config/migrations/m008_ad_fixwin_config_migrate.py

@@ -0,0 +1,29 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("ad-fixwin-cfg-migration", 8)
+class AdFixwinConfigMigration(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 isinstance(
+            self.ap.pipeline_cfg.data["rate-limit"]["fixwin"]["default"],
+            int
+        )
+
+    async def run(self):
+        """执行迁移"""
+        
+        for session_name in self.ap.pipeline_cfg.data["rate-limit"]["fixwin"]:
+
+            temp_dict = {
+                "window-size": 60,
+                "limit": self.ap.pipeline_cfg.data["rate-limit"]["fixwin"][session_name]
+            }
+            
+            self.ap.pipeline_cfg.data["rate-limit"]["fixwin"][session_name] = temp_dict
+
+        await self.ap.pipeline_cfg.dump_config()

pkg/config/migrations/m009_msg_truncator_cfg.py

@@ -0,0 +1,24 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("msg-truncator-cfg-migration", 9)
+class MsgTruncatorConfigMigration(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 'msg-truncate' not in self.ap.pipeline_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        
+        self.ap.pipeline_cfg.data['msg-truncate'] = {
+            'method': 'round',
+            'round': {
+                'max-round': 10
+            }
+        }
+
+        await self.ap.pipeline_cfg.dump_config()

pkg/config/model.py

@@ -22,7 +22,7 @@ class ConfigFile(metaclass=abc.ABCMeta):
         pass
 
     @abc.abstractmethod
-    async def load(self) -> dict:
+    async def load(self, completion: bool=True) -> dict:
         pass
 
     @abc.abstractmethod

pkg/core/boot.py

@@ -1,5 +1,7 @@
 from __future__ import print_function
 
+import traceback
+
 from . import app
 from ..audit import identifier
 from . import stage
@@ -27,6 +29,7 @@ async def make_app() -> app.Application:
     for stage_name in stage_order:
         stage_cls = stage.preregistered_stages[stage_name]
         stage_inst = stage_cls()
+
         await stage_inst.run(ap)
 
     await ap.initialize()
@@ -35,5 +38,8 @@ async def make_app() -> app.Application:
 
 
 async def main():
+    try:
         app_inst = await make_app()
         await app_inst.run()
+    except Exception as e:
+        traceback.print_exc()

pkg/core/bootutils/config.py

@@ -8,16 +8,3 @@ from ...config.impls import pymodule
 
 load_python_module_config = config_mgr.load_python_module_config
 load_json_config = config_mgr.load_json_config
-
-
-async def override_config_manager(cfg_mgr: config_mgr.ConfigManager) -> list[str]:
-    override_json = json.load(open("override.json", "r", encoding="utf-8"))
-    overrided = []
-
-    config = cfg_mgr.data
-    for key in override_json:
-        if key in config:
-            config[key] = override_json[key]
-            overrided.append(key)
-
-    return overrided

pkg/core/bootutils/deps.py

@@ -13,6 +13,8 @@ required_deps = {
     "tiktoken": "tiktoken",
     "yaml": "pyyaml",
     "aiohttp": "aiohttp",
+    "psutil": "psutil",
+    "async_lru": "async-lru",
 }
 
 

pkg/core/entities.py

@@ -67,10 +67,10 @@ class Query(pydantic.BaseModel):
     use_funcs: typing.Optional[list[tools_entities.LLMFunction]] = None
     """使用的函数，由前置处理器阶段设置"""
 
-    resp_messages: typing.Optional[list[llm_entities.Message]] = []
+    resp_messages: typing.Optional[list[llm_entities.Message]] | typing.Optional[list[mirai.MessageChain]] = []
     """由Process阶段生成的回复消息对象列表"""
 
-    resp_message_chain: typing.Optional[mirai.MessageChain] = None
+    resp_message_chain: typing.Optional[list[mirai.MessageChain]] = None
     """回复消息链，从resp_messages包装而得"""
 
     class Config:

pkg/core/stages/build_app.py

@@ -15,7 +15,6 @@ from ...provider.sysprompt import sysprompt as llm_prompt_mgr
 from ...provider.tools import toolmgr as llm_tool_mgr
 from ...platform import manager as im_mgr
 
-
 @stage.stage_class("BuildAppStage")
 class BuildAppStage(stage.BootingStage):
     """构建应用阶段
@@ -35,6 +34,7 @@ class BuildAppStage(stage.BootingStage):
 
         center_v2_api = center_v2.V2CenterAPI(
             ap,
+            backend_url=ap.system_cfg.data["qcg-center-url"],
             basic_info={
                 "host_id": identifier.identifier["host_id"],
                 "instance_id": identifier.identifier["instance_id"],
@@ -83,7 +83,6 @@ class BuildAppStage(stage.BootingStage):
         llm_tool_mgr_inst = llm_tool_mgr.ToolManager(ap)
         await llm_tool_mgr_inst.initialize()
         ap.tool_mgr = llm_tool_mgr_inst
-
         im_mgr_inst = im_mgr.PlatformManager(ap=ap)
         await im_mgr_inst.initialize()
         ap.platform_mgr = im_mgr_inst
@@ -92,5 +91,6 @@ class BuildAppStage(stage.BootingStage):
         await stage_mgr.initialize()
         ap.stage_mgr = stage_mgr
 
+
         ctrl = controller.Controller(ap)
         ap.ctrl = ctrl

pkg/core/stages/load_config.py

@@ -12,11 +12,11 @@ class LoadConfigStage(stage.BootingStage):
     async def run(self, ap: app.Application):
         """启动
         """
-        ap.command_cfg = await config.load_json_config("data/config/command.json", "templates/command.json")
-        ap.pipeline_cfg = await config.load_json_config("data/config/pipeline.json", "templates/pipeline.json")
-        ap.platform_cfg = await config.load_json_config("data/config/platform.json", "templates/platform.json")
-        ap.provider_cfg = await config.load_json_config("data/config/provider.json", "templates/provider.json")
-        ap.system_cfg = await config.load_json_config("data/config/system.json", "templates/system.json")
+        ap.command_cfg = await config.load_json_config("data/config/command.json", "templates/command.json", completion=False)
+        ap.pipeline_cfg = await config.load_json_config("data/config/pipeline.json", "templates/pipeline.json", completion=False)
+        ap.platform_cfg = await config.load_json_config("data/config/platform.json", "templates/platform.json", completion=False)
+        ap.provider_cfg = await config.load_json_config("data/config/provider.json", "templates/provider.json", completion=False)
+        ap.system_cfg = await config.load_json_config("data/config/system.json", "templates/system.json", completion=False)
 
         ap.plugin_setting_meta = await config.load_json_config("plugins/plugins.json", "templates/plugin-settings.json")
         await ap.plugin_setting_meta.dump_config()

pkg/core/stages/migrate.py

@@ -5,6 +5,7 @@ import importlib
 from .. import stage, app
 from ...config import migration
 from ...config.migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
+from ...config.migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
 
 
 @stage.stage_class("MigrationStage")

pkg/pipeline/bansess/bansess.py

@@ -8,7 +8,10 @@ from ...config import manager as cfg_mgr
 
 @stage.stage_class('BanSessionCheckStage')
 class BanSessionCheckStage(stage.PipelineStage):
-    """访问控制处理阶段"""
+    """访问控制处理阶段
+    
+    仅检查query中群号或个人号是否在访问控制列表中。
+    """
 
     async def initialize(self):
         pass

pkg/pipeline/cntfilter/cntfilter.py

@@ -9,12 +9,24 @@ from ...core import entities as core_entities
 from ...config import manager as cfg_mgr
 from . import filter as filter_model, entities as filter_entities
 from .filters import cntignore, banwords, baiduexamine
+from ...provider import entities as llm_entities
 
 
 @stage.stage_class('PostContentFilterStage')
 @stage.stage_class('PreContentFilterStage')
 class ContentFilterStage(stage.PipelineStage):
-    """内容过滤阶段"""
+    """内容过滤阶段
+    
+    前置：
+        检查消息是否符合规则，不符合则拦截。
+        改写：
+            message_chain
+
+    后置：
+        检查AI回复消息是否符合规则，可能进行改写，不符合则拦截。
+        改写：
+            query.resp_messages
+    """
 
     filter_chain: list[filter_model.ContentFilter]
 
@@ -130,19 +142,34 @@ class ContentFilterStage(stage.PipelineStage):
         """处理
         """
         if stage_inst_name == 'PreContentFilterStage':
+            
+            contain_non_text = False
+
+            for me in query.message_chain:
+                if not isinstance(me, mirai.Plain):
+                    contain_non_text = True
+                    break
+            
+            if contain_non_text:
+                self.ap.logger.debug(f"消息中包含非文本消息，跳过内容过滤器检查。")
+                return entities.StageProcessResult(
+                    result_type=entities.ResultType.CONTINUE,
+                    new_query=query
+                )
+
             return await self._pre_process(
                 str(query.message_chain).strip(),
                 query
             )
         elif stage_inst_name == 'PostContentFilterStage':
             # 仅处理 query.resp_messages[-1].content 是 str 的情况
-            if isinstance(query.resp_messages[-1].content, str):
+            if isinstance(query.resp_messages[-1], llm_entities.Message) and isinstance(query.resp_messages[-1].content, str):
                 return await self._post_process(
                     query.resp_messages[-1].content,
                     query
                 )
             else:
-                self.ap.logger.debug(f"resp_messages[-1] 不是 str 类型，跳过内容过滤器检查。")
+                self.ap.logger.debug(f"resp_messages[-1] 不是 Message 类型或 query.resp_messages[-1].content 不是 str 类型，跳过内容过滤器检查。")
                 return entities.StageProcessResult(
                     result_type=entities.ResultType.CONTINUE,
                     new_query=query

pkg/pipeline/cntfilter/entities.py

@@ -4,6 +4,8 @@ import enum
 
 import pydantic
 
+from ...provider import entities as llm_entities
+
 
 class ResultLevel(enum.Enum):
     """结果等级"""
@@ -38,7 +40,7 @@ class FilterResult(pydantic.BaseModel):
     """
 
     replacement: str
-    """替换后的消息
+    """替换后的文本消息
     
     内容过滤器可以进行一些遮掩处理，然后把遮掩后的消息返回。
     若没有修改内容，也需要返回原消息。

pkg/pipeline/cntfilter/filter.py

@@ -5,6 +5,7 @@ import typing
 
 from ...core import app
 from . import entities
+from ...provider import entities as llm_entities
 
 
 preregistered_filters: list[typing.Type[ContentFilter]] = []
@@ -63,7 +64,7 @@ class ContentFilter(metaclass=abc.ABCMeta):
         pass
 
     @abc.abstractmethod
-    async def process(self, message: str) -> entities.FilterResult:
+    async def process(self, message: str=None, image_url=None) -> entities.FilterResult:
         """处理消息
 
         分为前后阶段，具体取决于 enable_stages 的值。
@@ -71,6 +72,7 @@ class ContentFilter(metaclass=abc.ABCMeta):
         
         Args:
             message (str): 需要检查的内容
+            image_url (str): 要检查的图片的 URL
 
         Returns:
             entities.FilterResult: 过滤结果，具体内容请查看 entities.FilterResult 类的文档

pkg/pipeline/cntfilter/filters/banwords.py

@@ -8,7 +8,7 @@ from ....config import manager as cfg_mgr
 
 @filter_model.filter_class("ban-word-filter")
 class BanWordFilter(filter_model.ContentFilter):
-    """根据内容禁言"""
+    """根据内容过滤"""
 
     async def initialize(self):
         pass

pkg/pipeline/longtext/longtext.py

@@ -16,6 +16,9 @@ from ...config import manager as cfg_mgr
 @stage.stage_class("LongTextProcessStage")
 class LongTextProcessStage(stage.PipelineStage):
     """长消息处理阶段
+
+    改写：
+        - resp_message_chain
     """
 
     strategy_impl: strategy.LongTextStrategy
@@ -31,18 +34,18 @@ class LongTextProcessStage(stage.PipelineStage):
                     if os.name == "nt":
                         use_font = "C:/Windows/Fonts/msyh.ttc"
                         if not os.path.exists(use_font):
-                            self.ap.logger.warn("未找到字体文件，且无法使用Windows自带字体，更换为转发消息组件以发送长消息，您可以在config.py中调整相关设置。")
+                            self.ap.logger.warn("未找到字体文件，且无法使用Windows自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。")
                             config['blob_message_strategy'] = "forward"
                         else:
                             self.ap.logger.info("使用Windows自带字体：" + use_font)
                             config['font-path'] = use_font
                     else:
-                        self.ap.logger.warn("未找到字体文件，且无法使用系统自带字体，更换为转发消息组件以发送长消息，您可以在config.py中调整相关设置。")
+                        self.ap.logger.warn("未找到字体文件，且无法使用系统自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。")
 
                         self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
             except:
                 traceback.print_exc()
-                self.ap.logger.error("加载字体文件失败({})，更换为转发消息组件以发送长消息，您可以在config.py中调整相关设置。".format(use_font))
+                self.ap.logger.error("加载字体文件失败({})，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。".format(use_font))
 
                 self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
 
@@ -59,15 +62,15 @@ class LongTextProcessStage(stage.PipelineStage):
         # 检查是否包含非 Plain 组件
         contains_non_plain = False
 
-        for msg in query.resp_message_chain:
+        for msg in query.resp_message_chain[-1]:
             if not isinstance(msg, Plain):
                 contains_non_plain = True
                 break
         
         if contains_non_plain:
             self.ap.logger.debug("消息中包含非 Plain 组件，跳过长消息处理。")
-        elif len(str(query.resp_message_chain)) > self.ap.platform_cfg.data['long-text-process']['threshold']:
-            query.resp_message_chain = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain), query))
+        elif len(str(query.resp_message_chain[-1])) > self.ap.platform_cfg.data['long-text-process']['threshold']:
+            query.resp_message_chain[-1] = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain[-1]), query))
 
         return entities.StageProcessResult(
             result_type=entities.ResultType.CONTINUE,

pkg/pipeline/msgtrun/msgtrun.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+
+from .. import stage, entities, stagemgr
+from ...core import entities as core_entities
+from . import truncator
+from .truncators import round
+
+
+@stage.stage_class("ConversationMessageTruncator")
+class ConversationMessageTruncator(stage.PipelineStage):
+    """会话消息截断器
+
+    用于截断会话消息链，以适应平台消息长度限制。
+    """
+    trun: truncator.Truncator
+
+    async def initialize(self):
+        use_method = self.ap.pipeline_cfg.data['msg-truncate']['method']
+
+        for trun in truncator.preregistered_truncators:
+            if trun.name == use_method:
+                self.trun = trun(self.ap)
+                break
+        else:
+            raise ValueError(f"未知的截断器: {use_method}")
+
+    async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
+        """处理
+        """
+        query = await self.trun.truncate(query)
+
+        return entities.StageProcessResult(
+            result_type=entities.ResultType.CONTINUE,
+            new_query=query
+        )

pkg/pipeline/msgtrun/truncator.py

@@ -0,0 +1,56 @@
+from __future__ import annotations
+
+import typing
+import abc
+
+from ...core import entities as core_entities, app
+
+
+preregistered_truncators: list[typing.Type[Truncator]] = []
+
+
+def truncator_class(
+    name: str
+) -> typing.Callable[[typing.Type[Truncator]], typing.Type[Truncator]]:
+    """截断器类装饰器
+
+    Args:
+        name (str): 截断器名称
+
+    Returns:
+        typing.Callable[[typing.Type[Truncator]], typing.Type[Truncator]]: 装饰器
+    """
+    def decorator(cls: typing.Type[Truncator]) -> typing.Type[Truncator]:
+        assert issubclass(cls, Truncator)
+
+        cls.name = name
+
+        preregistered_truncators.append(cls)
+
+        return cls
+
+    return decorator
+
+
+class Truncator(abc.ABC):
+    """消息截断器基类
+    """
+
+    name: str
+
+    ap: app.Application
+    
+    def __init__(self, ap: app.Application):
+        self.ap = ap
+
+    async def initialize(self):
+        pass
+
+    @abc.abstractmethod
+    async def truncate(self, query: core_entities.Query) -> core_entities.Query:
+        """截断
+
+        一般只需要操作query.messages，也可以扩展操作query.prompt, query.user_message。
+        请勿操作其他字段。
+        """
+        pass

pkg/pipeline/msgtrun/truncators/round.py

@@ -0,0 +1,32 @@
+from __future__ import annotations
+
+from .. import truncator
+from ....core import entities as core_entities
+
+
+@truncator.truncator_class("round")
+class RoundTruncator(truncator.Truncator):
+    """前文回合数阶段器
+    """
+
+    async def truncate(self, query: core_entities.Query) -> core_entities.Query:
+        """截断
+        """
+        max_round = self.ap.pipeline_cfg.data['msg-truncate']['round']['max-round']
+
+        temp_messages = []
+
+        current_round = 0
+
+        # 从后往前遍历
+        for msg in query.messages[::-1]:
+            if current_round < max_round:
+                temp_messages.append(msg)
+                if msg.role == 'user':
+                    current_round += 1
+            else:
+                break
+        
+        query.messages = temp_messages[::-1]
+
+        return query

pkg/pipeline/pool.py

@@ -43,7 +43,7 @@ class QueryPool:
                 message_event=message_event,
                 message_chain=message_chain,
                 resp_messages=[],
-                resp_message_chain=None,
+                resp_message_chain=[],
                 adapter=adapter
             )
             self.queries.append(query)

pkg/pipeline/preproc/preproc.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+import mirai
+
 from .. import stage, entities, stagemgr
 from ...core import entities as core_entities
 from ...provider import entities as llm_entities
@@ -9,6 +11,16 @@ from ...plugin import events
 @stage.stage_class("PreProcessor")
 class PreProcessor(stage.PipelineStage):
     """请求预处理阶段
+
+    签出会话、prompt、上文、模型、内容函数。
+
+    改写：
+        - session
+        - prompt
+        - messages
+        - user_message
+        - use_model
+        - use_funcs
     """
 
     async def process(
@@ -27,21 +39,42 @@ class PreProcessor(stage.PipelineStage):
         query.prompt = conversation.prompt.copy()
         query.messages = conversation.messages.copy()
 
-        query.user_message = llm_entities.Message(
-            role='user',
-            content=str(query.message_chain).strip()
-        )
-
         query.use_model = conversation.use_model
 
-        query.use_funcs = conversation.use_funcs
+        query.use_funcs = conversation.use_funcs if query.use_model.tool_call_supported else None
 
+
+        # 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:
+            for msg in query.messages:
+                if isinstance(msg.content, list):
+                    for me in msg.content:
+                        if me.type == 'image_url':
+                            msg.content.remove(me)
+
+        content_list = []
+
+        for me in query.message_chain:
+            if isinstance(me, mirai.Plain):
+                content_list.append(
+                    llm_entities.ContentElement.from_text(me.text)
+                )
+            elif isinstance(me, mirai.Image):
+                if self.ap.provider_cfg.data['enable-vision'] and query.use_model.vision_supported:
+                    if me.url is not None:
+                        content_list.append(
+                            llm_entities.ContentElement.from_image_url(str(me.url))
+                        )
+
+        query.user_message = llm_entities.Message(  # TODO 适配多模态输入
+            role='user',
+            content=content_list
+        )
         # =========== 触发事件 PromptPreProcessing
-        session = query.session
 
         event_ctx = await self.ap.plugin_mgr.emit_event(
             event=events.PromptPreProcessing(
-                session_name=f'{session.launcher_type.value}_{session.launcher_id}',
+                session_name=f'{query.session.launcher_type.value}_{query.session.launcher_id}',
                 default_prompt=query.prompt.messages,
                 prompt=query.messages,
                 query=query

pkg/pipeline/process/handlers/chat.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import typing
 import time
 import traceback
+import json
 
 import mirai
 
@@ -41,12 +42,7 @@ class ChatMessageHandler(handler.MessageHandler):
             if event_ctx.event.reply is not None:
                 mc = mirai.MessageChain(event_ctx.event.reply)
 
-                query.resp_messages.append(
-                    llm_entities.Message(
-                        role='plugin',
-                        content=mc,
-                    )
-                )
+                query.resp_messages.append(mc)
 
                 yield entities.StageProcessResult(
                     result_type=entities.ResultType.CONTINUE,
@@ -70,17 +66,13 @@ class ChatMessageHandler(handler.MessageHandler):
                     mirai.Plain(event_ctx.event.alter)
                 ])
 
-            query.messages.append(
-                query.user_message
-            )
-
             text_length = 0
 
             start_time = time.time()
 
             try:
 
-                async for result in query.use_model.requester.request(query):
+                async for result in self.runner(query):
                     query.resp_messages.append(result)
 
                     self.ap.logger.info(f'对话({query.query_id})响应: {self.cut_str(result.readable_str())}')
@@ -92,6 +84,9 @@ class ChatMessageHandler(handler.MessageHandler):
                         result_type=entities.ResultType.CONTINUE,
                         new_query=query
                     )
+
+                query.session.using_conversation.messages.append(query.user_message)
+                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)}')
@@ -104,8 +99,6 @@ class ChatMessageHandler(handler.MessageHandler):
                     debug_notice=traceback.format_exc()
                 )
             finally:
-                query.session.using_conversation.messages.append(query.user_message)
-                query.session.using_conversation.messages.extend(query.resp_messages)
 
                 await self.ap.ctr_mgr.usage.post_query_record(
                     session_type=query.session.launcher_type.value,
@@ -116,3 +109,64 @@ class ChatMessageHandler(handler.MessageHandler):
                     response_seconds=int(time.time() - start_time),
                     retry_times=-1,
                 )
+
+    async def runner(
+        self,
+        query: core_entities.Query,
+    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+        """执行一个请求处理过程中的LLM接口请求、函数调用的循环
+        
+        这是临时处理方案，后续可能改为使用LangChain或者自研的工作流处理器
+        """
+        await query.use_model.requester.preprocess(query)
+
+        pending_tool_calls = []
+
+        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)
+
+        yield msg
+
+        pending_tool_calls = msg.tool_calls
+
+        req_messages.append(msg)
+
+        # 持续请求，只要还有待处理的工具调用就继续处理调用
+        while pending_tool_calls:
+            for tool_call in pending_tool_calls:
+                try:
+                    func = tool_call.function
+                    
+                    parameters = json.loads(func.arguments)
+
+                    func_ret = await self.ap.tool_mgr.execute_func_call(
+                        query, func.name, parameters
+                    )
+
+                    msg = llm_entities.Message(
+                        role="tool", content=json.dumps(func_ret, ensure_ascii=False), tool_call_id=tool_call.id
+                    )
+
+                    yield msg
+
+                    req_messages.append(msg)
+                except Exception as e:
+                    # 工具调用出错，添加一个报错信息到 req_messages
+                    err_msg = llm_entities.Message(
+                        role="tool", content=f"err: {e}", tool_call_id=tool_call.id
+                    )
+
+                    yield err_msg
+
+                    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)
+
+            yield msg
+
+            pending_tool_calls = msg.tool_calls
+
+            req_messages.append(msg)

pkg/pipeline/process/handlers/command.py

@@ -48,12 +48,7 @@ class CommandHandler(handler.MessageHandler):
             if event_ctx.event.reply is not None:
                 mc = mirai.MessageChain(event_ctx.event.reply)
 
-                query.resp_messages.append(
-                    llm_entities.Message(
-                        role='command',
-                        content=str(mc),
-                    )
-                )
+                query.resp_messages.append(mc)
 
                 yield entities.StageProcessResult(
                     result_type=entities.ResultType.CONTINUE,
@@ -80,9 +75,6 @@ class CommandHandler(handler.MessageHandler):
                 session=session
             ):
                 if ret.error is not None:
-                    # query.resp_message_chain = mirai.MessageChain([
-                    #     mirai.Plain(str(ret.error))
-                    # ])
                     query.resp_messages.append(
                         llm_entities.Message(
                             role='command',
@@ -96,18 +88,28 @@ class CommandHandler(handler.MessageHandler):
                         result_type=entities.ResultType.CONTINUE,
                         new_query=query
                     )
-                elif ret.text is not None:
-                    # query.resp_message_chain = mirai.MessageChain([
-                    #     mirai.Plain(ret.text)
-                    # ])
+                elif ret.text is not None or ret.image_url is not None:
+
+                    content: list[llm_entities.ContentElement]= []
+
+                    if ret.text is not None:
+                        content.append(
+                            llm_entities.ContentElement.from_text(ret.text)
+                        )
+
+                    if ret.image_url is not None:
+                        content.append(
+                            llm_entities.ContentElement.from_image_url(ret.image_url)
+                        )
+
                     query.resp_messages.append(
                         llm_entities.Message(
                             role='command',
-                            content=ret.text,
+                            content=content,
                         )
                     )
 
-                    self.ap.logger.info(f'命令返回: {self.cut_str(ret.text)}')
+                    self.ap.logger.info(f'命令返回: {self.cut_str(str(content[0]))}')
 
                     yield entities.StageProcessResult(
                         result_type=entities.ResultType.CONTINUE,

pkg/pipeline/process/process.py

@@ -11,7 +11,13 @@ from ...config import manager as cfg_mgr
 
 @stage.stage_class("MessageProcessor")
 class Processor(stage.PipelineStage):
-    """请求实际处理阶段"""
+    """请求实际处理阶段
+    
+    通过命令处理器和聊天处理器处理消息。
+
+    改写：
+        - resp_messages
+    """
 
     cmd_handler: handler.MessageHandler
 

pkg/pipeline/ratelimit/algos/fixedwin.py

@@ -1,18 +1,15 @@
-# 固定窗口算法
 from __future__ import annotations
-
 import asyncio
 import time
-
 from .. import algo
 
-
+# 固定窗口算法
 class SessionContainer:
     
     wait_lock: asyncio.Lock
 
     records: dict[int, int]
-    """访问记录，key为每分钟的起始时间戳，value为访问次数"""
+    """访问记录，key为每窗口长度的起始时间戳，value为访问次数"""
 
     def __init__(self):
         self.wait_lock = asyncio.Lock()
@@ -47,30 +44,34 @@ class FixedWindowAlgo(algo.ReteLimitAlgo):
 
         # 等待锁
         async with container.wait_lock:
+
+            # 获取窗口大小和限制
+            window_size = self.ap.pipeline_cfg.data['rate-limit']['fixwin']['default']['window-size']
+            limitation = self.ap.pipeline_cfg.data['rate-limit']['fixwin']['default']['limit']
+
+            if session_name in self.ap.pipeline_cfg.data['rate-limit']['fixwin']:
+                window_size = self.ap.pipeline_cfg.data['rate-limit']['fixwin'][session_name]['window-size']
+                limitation = self.ap.pipeline_cfg.data['rate-limit']['fixwin'][session_name]['limit']
+
             # 获取当前时间戳
             now = int(time.time())
 
-            # 获取当前分钟的起始时间戳
-            now = now - now % 60
+            # 获取当前窗口的起始时间戳
+            now = now - now % window_size
 
-            # 获取当前分钟的访问次数
+            # 获取当前窗口的访问次数
             count = container.records.get(now, 0)
 
-            limitation = self.ap.pipeline_cfg.data['rate-limit']['fixwin']['default']
-
-            if session_name in self.ap.pipeline_cfg.data['rate-limit']['fixwin']:
-                limitation = self.ap.pipeline_cfg.data['rate-limit']['fixwin'][session_name]
-
             # 如果访问次数超过了限制
             if count >= limitation:
                 if self.ap.pipeline_cfg.data['rate-limit']['strategy'] == 'drop':
                     return False
                 elif self.ap.pipeline_cfg.data['rate-limit']['strategy'] == 'wait':
-                    # 等待下一分钟
-                    await asyncio.sleep(60 - time.time() % 60)
+                    # 等待下一窗口
+                    await asyncio.sleep(window_size - time.time() % window_size)
     
                     now = int(time.time())
-                    now = now - now % 60
+                    now = now - now % window_size
             
             if now not in container.records:
                 container.records = {}

pkg/pipeline/ratelimit/ratelimit.py

@@ -11,7 +11,10 @@ from ...core import entities as core_entities
 @stage.stage_class("RequireRateLimitOccupancy")
 @stage.stage_class("ReleaseRateLimitOccupancy")
 class RateLimit(stage.PipelineStage):
-    """限速器控制阶段"""
+    """限速器控制阶段
+    
+    不改写query，只检查是否需要限速。
+    """
 
     algo: algo.ReteLimitAlgo
 

pkg/pipeline/respback/respback.py

@@ -31,7 +31,7 @@ class SendResponseBackStage(stage.PipelineStage):
 
         await self.ap.platform_mgr.send(
             query.message_event,
-            query.resp_message_chain,
+            query.resp_message_chain[-1],
             adapter=query.adapter
         )
 

pkg/pipeline/resprule/resprule.py

@@ -14,9 +14,12 @@ from ...config import manager as cfg_mgr
 @stage.stage_class("GroupRespondRuleCheckStage")
 class GroupRespondRuleCheckStage(stage.PipelineStage):
     """群组响应规则检查器
+
+    仅检查群消息是否符合规则。
     """
 
     rule_matchers: list[rule.GroupRespondRule]
+    """检查器实例"""
 
     async def initialize(self):
         """初始化检查器
@@ -31,7 +34,7 @@ class GroupRespondRuleCheckStage(stage.PipelineStage):
 
     async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
         
-        if query.launcher_type.value != 'group':
+        if query.launcher_type.value != 'group':  # 只处理群消息
             return entities.StageProcessResult(
                 result_type=entities.ResultType.CONTINUE,
                 new_query=query
@@ -41,8 +44,8 @@ class GroupRespondRuleCheckStage(stage.PipelineStage):
 
         use_rule = rules['default']
 
-        if str(query.launcher_id) in use_rule:
-            use_rule = use_rule[str(query.launcher_id)]
+        if str(query.launcher_id) in rules:
+            use_rule = rules[str(query.launcher_id)]
 
         for rule_matcher in self.rule_matchers:  # 任意一个匹配就放行
             res = await rule_matcher.match(str(query.message_chain), query.message_chain, use_rule, query)

pkg/pipeline/resprule/rules/prefix.py

@@ -20,11 +20,14 @@ class PrefixRule(rule_model.GroupRespondRule):
         for prefix in prefixes:
             if message_text.startswith(prefix):
 
+                # 查找第一个plain元素
+                for me in message_chain:
+                    if isinstance(me, mirai.Plain):
+                        me.text = me.text[len(prefix):]
+
                 return entities.RuleJudgeResult(
                     matching=True,
-                    replacement=mirai.MessageChain([
-                        mirai.Plain(message_text[len(prefix):])
-                    ]),
+                    replacement=message_chain,
                 )
 
         return entities.RuleJudgeResult(

pkg/pipeline/stagemgr.py

@@ -13,21 +13,23 @@ from .respback import respback
 from .wrapper import wrapper
 from .preproc import preproc
 from .ratelimit import ratelimit
+from .msgtrun import msgtrun
 
 
 # 请求处理阶段顺序
 stage_order = [
-    "GroupRespondRuleCheckStage",
-    "BanSessionCheckStage",
-    "PreContentFilterStage",
-    "PreProcessor",
-    "RequireRateLimitOccupancy",
-    "MessageProcessor",
-    "ReleaseRateLimitOccupancy",
-    "PostContentFilterStage",
-    "ResponseWrapper",
-    "LongTextProcessStage",
-    "SendResponseBackStage",
+    "GroupRespondRuleCheckStage",  # 群响应规则检查
+    "BanSessionCheckStage",  # 封禁会话检查
+    "PreContentFilterStage",  # 内容过滤前置阶段
+    "PreProcessor",  # 预处理器
+    "ConversationMessageTruncator",  # 会话消息截断器
+    "RequireRateLimitOccupancy",  # 请求速率限制占用
+    "MessageProcessor",  # 处理器
+    "ReleaseRateLimitOccupancy",  # 释放速率限制占用
+    "PostContentFilterStage",  # 内容过滤后置阶段
+    "ResponseWrapper",  # 响应包装器
+    "LongTextProcessStage",  # 长文本处理
+    "SendResponseBackStage",  # 发送响应
 ]
 
 

pkg/pipeline/wrapper/wrapper.py

@@ -14,6 +14,13 @@ from ...plugin import events
 
 @stage.stage_class("ResponseWrapper")
 class ResponseWrapper(stage.PipelineStage):
+    """回复包装阶段
+
+    把回复的 message 包装成人类识读的形式。
+    
+    改写：
+        - resp_message_chain
+    """
 
     async def initialize(self):
         pass
@@ -26,18 +33,31 @@ class ResponseWrapper(stage.PipelineStage):
         """处理
         """
 
+        # 如果 resp_messages[-1] 已经是 MessageChain 了
+        if isinstance(query.resp_messages[-1], mirai.MessageChain):
+            query.resp_message_chain.append(query.resp_messages[-1])
+
+            yield entities.StageProcessResult(
+                result_type=entities.ResultType.CONTINUE,
+                new_query=query
+            )
+
+        else:
+        
             if query.resp_messages[-1].role == 'command':
-            query.resp_message_chain = mirai.MessageChain("[bot] "+query.resp_messages[-1].content)
+                # query.resp_message_chain.append(mirai.MessageChain("[bot] "+query.resp_messages[-1].content))
+                query.resp_message_chain.append(query.resp_messages[-1].get_content_mirai_message_chain(prefix_text='[bot] '))
 
                 yield entities.StageProcessResult(
                     result_type=entities.ResultType.CONTINUE,
                     new_query=query
                 )
             elif query.resp_messages[-1].role == 'plugin':
-            if not isinstance(query.resp_messages[-1].content, mirai.MessageChain):
-                query.resp_message_chain = mirai.MessageChain(query.resp_messages[-1].content)
-            else:
-                query.resp_message_chain = query.resp_messages[-1].content
+                # if not isinstance(query.resp_messages[-1].content, mirai.MessageChain):
+                #     query.resp_message_chain.append(mirai.MessageChain(query.resp_messages[-1].content))
+                # else:
+                #     query.resp_message_chain.append(query.resp_messages[-1].content)
+                query.resp_message_chain.append(query.resp_messages[-1].get_content_mirai_message_chain())
 
                 yield entities.StageProcessResult(
                     result_type=entities.ResultType.CONTINUE,
@@ -51,8 +71,8 @@ class ResponseWrapper(stage.PipelineStage):
 
                     reply_text = ''
 
-                if result.content is not None:  # 有内容
-                    reply_text = result.content
+                    if result.content:  # 有内容
+                        reply_text = str(result.get_content_mirai_message_chain())
 
                         # ============= 触发插件事件 ===============
                         event_ctx = await self.ap.plugin_mgr.emit_event(
@@ -76,11 +96,11 @@ class ResponseWrapper(stage.PipelineStage):
                         else:
                             if event_ctx.event.reply is not None:
                                 
-                            query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
+                                query.resp_message_chain.append(mirai.MessageChain(event_ctx.event.reply))
 
                             else:
 
-                            query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
+                                query.resp_message_chain.append(result.get_content_mirai_message_chain())
 
                             yield entities.StageProcessResult(
                                 result_type=entities.ResultType.CONTINUE,
@@ -93,7 +113,7 @@ class ResponseWrapper(stage.PipelineStage):
 
                         reply_text = f'调用函数 {".".join(function_names)}...'
 
-                    query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
+                        query.resp_message_chain.append(mirai.MessageChain([mirai.Plain(reply_text)]))
 
                         if self.ap.platform_cfg.data['track-function-calls']:
                             
@@ -119,11 +139,11 @@ class ResponseWrapper(stage.PipelineStage):
                             else:
                                 if event_ctx.event.reply is not None:
                                     
-                                query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
+                                    query.resp_message_chain.append(mirai.MessageChain(event_ctx.event.reply))
 
                                 else:
 
-                                query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
+                                    query.resp_message_chain.append(mirai.MessageChain([mirai.Plain(reply_text)]))
 
                                 yield entities.StageProcessResult(
                                     result_type=entities.ResultType.CONTINUE,

pkg/platform/manager.py

@@ -82,8 +82,8 @@ class PlatformManager:
 
             event_ctx = await self.ap.plugin_mgr.emit_event(
                 event=events.GroupMessageReceived(
-                    launcher_type='person',
-                    launcher_id=event.sender.id,
+                    launcher_type='group',
+                    launcher_id=event.group.id,
                     sender_id=event.sender.id,
                     message_chain=event.message_chain,
                     query=None

pkg/platform/sources/aiocqhttp.py

@@ -30,7 +30,16 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
                 msg_id = msg.id
                 msg_time = msg.time
             elif type(msg) is mirai.Image:
-                msg_list.append(aiocqhttp.MessageSegment.image(msg.path))
+                arg = ''
+                if msg.base64:
+                    arg = msg.base64
+                    msg_list.append(aiocqhttp.MessageSegment.image(f"base64://{arg}"))
+                elif msg.url:
+                    arg = msg.url
+                    msg_list.append(aiocqhttp.MessageSegment.image(arg))
+                elif msg.path:
+                    arg = msg.path
+                    msg_list.append(aiocqhttp.MessageSegment.image(arg))
             elif type(msg) is mirai.At:
                 msg_list.append(aiocqhttp.MessageSegment.at(msg.target))
             elif type(msg) is mirai.AtAll:

pkg/platform/sources/nakuru.py

@@ -322,7 +322,7 @@ class NakuruProjectAdapter(adapter_model.MessageSourceAdapter):
                 proxies=None
             )
             if resp.status_code == 403:
-                raise Exception("go-cqhttp拒绝访问，请检查config.py中nakuru_config的token是否与go-cqhttp设置的access-token匹配")
+                raise Exception("go-cqhttp拒绝访问，请检查配置文件中nakuru适配器的配置")
             self.bot_account_id = int(resp.json()['data']['user_id'])
         except Exception as e:
             raise Exception("获取go-cqhttp账号信息失败, 请检查是否已启动go-cqhttp并配置正确")

pkg/provider/entities.py

@@ -21,6 +21,39 @@ class ToolCall(pydantic.BaseModel):
     function: FunctionCall
 
 
+class ImageURLContentObject(pydantic.BaseModel):
+    url: str
+
+    def __str__(self):
+        return self.url[:128] + ('...' if len(self.url) > 128 else '')
+
+
+class ContentElement(pydantic.BaseModel):
+
+    type: str
+    """内容类型"""
+
+    text: typing.Optional[str] = None
+
+    image_url: typing.Optional[ImageURLContentObject] = None
+
+    def __str__(self):
+        if self.type == 'text':
+            return self.text
+        elif self.type == 'image_url':
+            return f'[图片]({self.image_url})'
+        else:
+            return '未知内容'
+
+    @classmethod
+    def from_text(cls, text: str):
+        return cls(type='text', text=text)
+
+    @classmethod
+    def from_image_url(cls, image_url: str):
+        return cls(type='image_url', image_url=ImageURLContentObject(url=image_url))
+
+
 class Message(pydantic.BaseModel):
     """消息"""
 
@@ -30,12 +63,9 @@ class Message(pydantic.BaseModel):
     name: typing.Optional[str] = None
     """名称，仅函数调用返回时设置"""
 
-    content: typing.Optional[str] | typing.Optional[mirai.MessageChain] = None
+    content: typing.Optional[list[ContentElement]] | typing.Optional[str] = None
     """内容"""
 
-    function_call: typing.Optional[FunctionCall] = None
-    """函数调用，不再受支持，请使用tool_calls"""
-
     tool_calls: typing.Optional[list[ToolCall]] = None
     """工具调用"""
 
@@ -43,10 +73,47 @@ class Message(pydantic.BaseModel):
 
     def readable_str(self) -> str:
         if self.content is not None:
-            return str(self.content)
-        elif self.function_call is not None:
-            return f'{self.function_call.name}({self.function_call.arguments})'
+            return str(self.role) + ": " + str(self.get_content_mirai_message_chain())
         elif self.tool_calls is not None:
             return f'调用工具: {self.tool_calls[0].id}'
         else:
             return '未知消息'
+
+    def get_content_mirai_message_chain(self, prefix_text: str="") -> mirai.MessageChain | None:
+        """将内容转换为 Mirai MessageChain 对象
+        
+        Args:
+            prefix_text (str): 首个文字组件的前缀文本
+        """
+
+        if self.content is None:
+            return None
+        elif isinstance(self.content, str):
+            return mirai.MessageChain([mirai.Plain(prefix_text+self.content)])
+        elif isinstance(self.content, list):
+            mc = []
+            for ce in self.content:
+                if ce.type == 'text':
+                    mc.append(mirai.Plain(ce.text))
+                elif ce.type == 'image':
+                    if ce.image_url.url.startswith("http"):
+                        mc.append(mirai.Image(url=ce.image_url.url))
+                    else:  # base64
+                        
+                        b64_str = ce.image_url.url
+
+                        if b64_str.startswith("data:"):
+                            b64_str = b64_str.split(",")[1]
+
+                        mc.append(mirai.Image(base64=b64_str))
+            
+            # 找第一个文字组件
+            if prefix_text:
+                for i, c in enumerate(mc):
+                    if isinstance(c, mirai.Plain):
+                        mc[i] = mirai.Plain(prefix_text+c.text)
+                        break
+                else:
+                    mc.insert(0, mirai.Plain(prefix_text))
+
+            return mirai.MessageChain(mc)

pkg/provider/modelmgr/api.py

@@ -6,6 +6,8 @@ import typing
 from ...core import app
 from ...core import entities as core_entities
 from .. import entities as llm_entities
+from . import entities as modelmgr_entities
+from ..tools import entities as tools_entities
 
 
 preregistered_requesters: list[typing.Type[LLMAPIRequester]] = []
@@ -33,20 +35,31 @@ class LLMAPIRequester(metaclass=abc.ABCMeta):
     async def initialize(self):
         pass
 
-    @abc.abstractmethod
-    async def request(
+    async def preprocess(
         self,
         query: core_entities.Query,
-    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
-        """请求API
+    ):
+        """预处理
         
-        对话前文可以从 query 对象中获取。
-        可以多次yield消息对象。
+        在这里处理特定API对Query对象的兼容性问题。
+        """
+        pass
+
+    @abc.abstractmethod
+    async def call(
+        self,
+        model: modelmgr_entities.LLMModelInfo,
+        messages: typing.List[llm_entities.Message],
+        funcs: typing.List[tools_entities.LLMFunction] = None,
+    ) -> llm_entities.Message:
+        """调用API
 
         Args:
-            query (core_entities.Query): 本次请求的上下文对象
+            model (modelmgr_entities.LLMModelInfo): 使用的模型信息
+            messages (typing.List[llm_entities.Message]): 消息对象列表
+            funcs (typing.List[tools_entities.LLMFunction], optional): 使用的工具函数列表. Defaults to None.
 
-        Yields:
-            pkg.provider.entities.Message: 返回消息对象
+        Returns:
+            llm_entities.Message: 返回消息对象
         """
-        raise NotImplementedError
+        pass

pkg/provider/modelmgr/apis/anthropicmsgs.py

@@ -11,6 +11,7 @@ from .. import api, 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")
@@ -27,47 +28,76 @@ class AnthropicMessages(api.LLMAPIRequester):
             proxies=self.ap.proxy_mgr.get_forward_proxies()
         )
 
-    async def request(
+    async def call(
         self,
-        query: core_entities.Query,
-    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
-        self.client.api_key = query.use_model.token_mgr.get_token()
+        model: entities.LLMModelInfo,
+        messages: typing.List[llm_entities.Message],
+        funcs: typing.List[tools_entities.LLMFunction] = None,
+    ) -> llm_entities.Message:
+        self.client.api_key = model.token_mgr.get_token()
 
         args = self.ap.provider_cfg.data['requester']['anthropic-messages']['args'].copy()
-        args["model"] = query.use_model.name if query.use_model.model_name is None else query.use_model.model_name
+        args["model"] = model.name if model.model_name is None else model.model_name
 
-        req_messages = [  # req_messages 仅用于类内，外部同步由 query.messages 进行
-            m.dict(exclude_none=True) for m in query.prompt.messages if m.content.strip() != ""
-        ] + [m.dict(exclude_none=True) for m in query.messages]
+        # 处理消息
 
-        # 删除所有 role=system & content='' 的消息
-        req_messages = [
-            m for m in req_messages if not (m["role"] == "system" and m["content"].strip() == "")
-        ]
+        # system
+        system_role_message = None
 
-        # 检查是否有 role=system 的消息，若有，改为 role=user，并在后面加一个 role=assistant 的消息
-        system_role_index = []
-        for i, m in enumerate(req_messages):
-            if m["role"] == "system":
-                system_role_index.append(i)
-                m["role"] = "user"
+        for i, m in enumerate(messages):
+            if m.role == "system":
+                system_role_message = m
 
-        if system_role_index:
-            for i in system_role_index[::-1]:
-                req_messages.insert(i + 1, {"role": "assistant", "content": "Okay, I'll follow."})
+                messages.pop(i)
+                break
 
-        # 忽略掉空消息，用户可能发送空消息，而上层未过滤
-        req_messages = [
-            m for m in req_messages if m["content"].strip() != ""
-        ]
+        if isinstance(system_role_message, llm_entities.Message) \
+            and isinstance(system_role_message.content, str):
+            args['system'] = system_role_message.content
+
+        req_messages = []
+
+        for m in messages:
+            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":
+                        alter_image_ele = {
+                            "type": "image",
+                            "source": {
+                                "type": "base64",
+                                "media_type": "image/jpeg",
+                                "data": await image.qq_image_url_to_base64(ce.image_url.url)
+                            }
+                        }
+                        msg_dict["content"][i] = alter_image_ele
+
+                req_messages.append(msg_dict)
 
         args["messages"] = req_messages
 
-        try:
+        # anthropic的tools处在beta阶段，sdk不稳定，故暂时不支持
+        #
+        # if funcs:
+        #     tools = await self.ap.tool_mgr.generate_tools_for_openai(funcs)
 
+        #     if tools:
+        #         args["tools"] = tools
+
+        try:
             resp = await self.client.messages.create(**args)
 
-            yield llm_entities.Message(
+            return llm_entities.Message(
                 content=resp.content[0].text,
                 role=resp.role
             )

pkg/provider/modelmgr/apis/chatcmpl.py

@@ -3,16 +3,20 @@ from __future__ import annotations
 import asyncio
 import typing
 import json
+import base64
 from typing import AsyncGenerator
 
 import openai
 import openai.types.chat.chat_completion as chat_completion
 import httpx
+import aiohttp
+import async_lru
 
 from .. import api, entities, errors
 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")
@@ -43,7 +47,6 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
         self,
         args: dict,
     ) -> chat_completion.ChatCompletion:
-        self.ap.logger.debug(f"req chat_completion with args {args}")
         return await self.client.chat.completions.create(**args)
 
     async def _make_msg(
@@ -67,14 +70,22 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
         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_model.tool_call_supported:
+        if use_funcs:
             tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
 
             if tools:
                 args["tools"] = tools
 
         # 设置此次请求中的messages
-        messages = req_messages
+        messages = req_messages.copy()
+
+        # 检查vision
+        for msg in messages:
+            if 'content' in msg and isinstance(msg["content"], list):
+                for me in msg["content"]:
+                    if me["type"] == "image_url":
+                        me["image_url"]['url'] = await self.get_base64_str(me["image_url"]['url'])
+
         args["messages"] = messages
 
         # 发送请求
@@ -85,72 +96,25 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
 
         return message
     
-    async def _request(
-        self, query: core_entities.Query
-    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
-        """请求"""
+    async def call(
+        self,
+        model: entities.LLMModelInfo,
+        messages: typing.List[llm_entities.Message],
+        funcs: typing.List[tools_entities.LLMFunction] = None,
+    ) -> llm_entities.Message:
+        req_messages = []  # req_messages 仅用于类内，外部同步由 query.messages 进行
+        for m in messages:
+            msg_dict = m.dict(exclude_none=True)
+            content = msg_dict.get("content")
+            if isinstance(content, list):
+                # 检查 content 列表中是否每个部分都是文本
+                if all(isinstance(part, dict) and part.get("type") == "text" for part in content):
+                    # 将所有文本部分合并为一个字符串
+                    msg_dict["content"] = "\n".join(part["text"] for part in content)
+            req_messages.append(msg_dict)
 
-        pending_tool_calls = []
-
-        req_messages = [  # req_messages 仅用于类内，外部同步由 query.messages 进行
-            m.dict(exclude_none=True) for m in query.prompt.messages if m.content.strip() != ""
-        ] + [m.dict(exclude_none=True) for m in query.messages]
-
-        # req_messages.append({"role": "user", "content": str(query.message_chain)})
-
-        # 首次请求
-        msg = await self._closure(req_messages, query.use_model, query.use_funcs)
-
-        yield msg
-
-        pending_tool_calls = msg.tool_calls
-
-        req_messages.append(msg.dict(exclude_none=True))
-
-        # 持续请求，只要还有待处理的工具调用就继续处理调用
-        while pending_tool_calls:
-            for tool_call in pending_tool_calls:
         try:
-                    func = tool_call.function
-
-                    parameters = json.loads(func.arguments)
-
-                    func_ret = await self.ap.tool_mgr.execute_func_call(
-                        query, func.name, parameters
-                    )
-
-                    msg = llm_entities.Message(
-                        role="tool", content=json.dumps(func_ret, ensure_ascii=False), tool_call_id=tool_call.id
-                    )
-
-                    yield msg
-
-                    req_messages.append(msg.dict(exclude_none=True))
-                except Exception as e:
-                    # 出错，添加一个报错信息到 req_messages
-                    err_msg = llm_entities.Message(
-                        role="tool", content=f"err: {e}", tool_call_id=tool_call.id
-                    )
-
-                    yield err_msg
-
-                    req_messages.append(
-                        err_msg.dict(exclude_none=True)
-                    )
-
-            # 处理完所有调用，继续请求
-            msg = await self._closure(req_messages, query.use_model, query.use_funcs)
-
-            yield msg
-
-            pending_tool_calls = msg.tool_calls
-
-            req_messages.append(msg.dict(exclude_none=True))
-
-    async def request(self, query: core_entities.Query) -> AsyncGenerator[llm_entities.Message, None]:
-        try:
-            async for msg in self._request(query):
-                yield msg
+            return await self._closure(req_messages, model, funcs)
         except asyncio.TimeoutError:
             raise errors.RequesterError('请求超时')
         except openai.BadRequestError as e:
@@ -163,6 +127,16 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
         except openai.NotFoundError as e:
             raise errors.RequesterError(f'请求路径错误: {e.message}')
         except openai.RateLimitError as e:
-            raise errors.RequesterError(f'请求过于频繁: {e.message}')
+            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 = await image.qq_image_url_to_base64(original_url)
+
+        return f"data:image/jpeg;base64,{base64_image}"

pkg/provider/modelmgr/apis/deepseekchatcmpl.py

@@ -0,0 +1,53 @@
+from __future__ import annotations
+
+from ....core import app
+
+from . import chatcmpl
+from .. import api, entities, errors
+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")
+class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """Deepseek ChatCompletion API 请求器"""
+
+    def __init__(self, ap: app.Application):
+        self.requester_cfg = ap.provider_cfg.data['requester']['deepseek-chat-completions']
+        self.ap = ap
+
+    async def _closure(
+        self,
+        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
+
+        # 设置此次请求中的messages
+        messages = req_messages
+
+        # deepseek 不支持多模态，把content都转换成纯文字
+        for m in messages:
+            if 'content' in m and isinstance(m["content"], list):
+                m["content"] = " ".join([c["text"] for c in m["content"]])
+
+        args["messages"] = messages
+
+        # 发送请求
+        resp = await self._req(args)
+
+        # 处理请求结果
+        message = await self._make_msg(resp)
+
+        return message

pkg/provider/modelmgr/apis/moonshotchatcmpl.py

@@ -3,7 +3,10 @@ from __future__ import annotations
 from ....core import app
 
 from . import chatcmpl
-from .. import api
+from .. import api, entities, errors
+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")
@@ -13,3 +16,41 @@ class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
     def __init__(self, ap: app.Application):
         self.requester_cfg = ap.provider_cfg.data['requester']['moonshot-chat-completions']
         self.ap = ap
+
+    async def _closure(
+        self,
+        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
+
+        # 设置此次请求中的messages
+        messages = req_messages
+
+        # deepseek 不支持多模态，把content都转换成纯文字
+        for m in messages:
+            if 'content' in m and isinstance(m["content"], list):
+                m["content"] = " ".join([c["text"] for c in m["content"]])
+
+        # 删除空的
+        messages = [m for m in messages if m["content"].strip() != ""]
+
+        args["messages"] = messages
+
+        # 发送请求
+        resp = await self._req(args)
+
+        # 处理请求结果
+        message = await self._make_msg(resp)
+
+        return message

pkg/provider/modelmgr/entities.py

@@ -21,5 +21,7 @@ class LLMModelInfo(pydantic.BaseModel):
 
     tool_call_supported: typing.Optional[bool] = False
 
+    vision_supported: typing.Optional[bool] = False
+
     class Config:
         arbitrary_types_allowed = True

pkg/provider/modelmgr/modelmgr.py

@@ -6,7 +6,7 @@ from . import entities
 from ...core import app
 
 from . import token, api
-from .apis import chatcmpl, anthropicmsgs, moonshotchatcmpl
+from .apis import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl
 
 FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"
 
@@ -83,7 +83,8 @@ class ModelManager:
                     model_name=None,
                     token_mgr=self.token_mgrs[model['token_mgr']],
                     requester=self.requesters[model['requester']],
-                    tool_call_supported=model['tool_call_supported']
+                    tool_call_supported=model['tool_call_supported'],
+                    vision_supported=model['vision_supported']
                 )
                 break
 
@@ -95,13 +96,15 @@ class ModelManager:
                 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
                 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)
 
                 model_info = entities.LLMModelInfo(
                     name=model['name'],
                     model_name=model_name,
                     token_mgr=token_mgr,
                     requester=requester,
-                    tool_call_supported=tool_call_supported
+                    tool_call_supported=tool_call_supported,
+                    vision_supported=vision_supported
                 )
                 self.model_list.append(model_info)
             

pkg/provider/tools/toolmgr.py

@@ -9,8 +9,7 @@ from ...plugin import context as plugin_context
 
 
 class ToolManager:
-    """LLM工具管理器
-    """
+    """LLM工具管理器"""
 
     ap: app.Application
 
@@ -22,25 +21,24 @@ class ToolManager:
         pass
 
     async def get_function(self, name: str) -> entities.LLMFunction:
-        """获取函数
-        """
+        """获取函数"""
         for function in await self.get_all_functions():
             if function.name == name:
                 return function
         return None
 
-    async def get_function_and_plugin(self, name: str) -> typing.Tuple[entities.LLMFunction, plugin_context.BasePlugin]:
-        """获取函数和插件
-        """
+    async def get_function_and_plugin(
+        self, name: str
+    ) -> typing.Tuple[entities.LLMFunction, plugin_context.BasePlugin]:
+        """获取函数和插件"""
         for plugin in self.ap.plugin_mgr.plugins:
             for function in plugin.content_functions:
                 if function.name == name:
-                    return function, plugin
+                    return function, plugin.plugin_inst
         return None, None
 
     async def get_all_functions(self) -> list[entities.LLMFunction]:
-        """获取所有函数
-        """
+        """获取所有函数"""
         all_functions: list[entities.LLMFunction] = []
 
         for plugin in self.ap.plugin_mgr.plugins:
@@ -48,9 +46,8 @@ class ToolManager:
 
         return all_functions
 
-    async def generate_tools_for_openai(self, use_funcs: entities.LLMFunction) -> str:
-        """生成函数列表
-        """
+    async def generate_tools_for_openai(self, use_funcs: list[entities.LLMFunction]) -> list:
+        """生成函数列表"""
         tools = []
 
         for function in use_funcs:
@@ -60,21 +57,55 @@ class ToolManager:
                     "function": {
                         "name": function.name,
                         "description": function.description,
-                        "parameters": function.parameters
+                        "parameters": function.parameters,
+                    },
                 }
+                tools.append(function_schema)
+
+        return tools
+
+    async def generate_tools_for_anthropic(
+        self, use_funcs: list[entities.LLMFunction]
+    ) -> list:
+        """为anthropic生成函数列表
+
+        e.g.
+
+        [
+          {
+            "name": "get_stock_price",
+            "description": "Get the current stock price for a given ticker symbol.",
+            "input_schema": {
+              "type": "object",
+              "properties": {
+                "ticker": {
+                  "type": "string",
+                  "description": "The stock ticker symbol, e.g. AAPL for Apple Inc."
+                }
+              },
+              "required": ["ticker"]
+            }
+          }
+        ]
+        """
+
+        tools = []
+
+        for function in use_funcs:
+            if function.enable:
+                function_schema = {
+                    "name": function.name,
+                    "description": function.description,
+                    "input_schema": function.parameters,
                 }
                 tools.append(function_schema)
 
         return tools
 
     async def execute_func_call(
-        self,
-        query: core_entities.Query,
-        name: str,
-        parameters: dict
+        self, query: core_entities.Query, name: str, parameters: dict
     ) -> typing.Any:
-        """执行函数调用
-        """
+        """执行函数调用"""
 
         try:
 
@@ -84,16 +115,13 @@ class ToolManager:
 
             parameters = parameters.copy()
 
-            parameters = {
-                "query": query,
-                **parameters
-            }
+            parameters = {"query": query, **parameters}
 
             return await function.func(plugin, **parameters)
         except Exception as e:
-            self.ap.logger.error(f'执行函数 {name} 时发生错误: {e}')
+            self.ap.logger.error(f"执行函数 {name} 时发生错误: {e}")
             traceback.print_exc()
-            return f'error occurred when executing function {name}: {e}'
+            return f"error occurred when executing function {name}: {e}"
         finally:
 
             plugin = None
@@ -107,10 +135,10 @@ class ToolManager:
 
                 await self.ap.ctr_mgr.usage.post_function_record(
                     plugin={
-                        'name': plugin.plugin_name,
-                        'remote': plugin.plugin_source,
-                        'version': plugin.plugin_version,
-                        'author': plugin.plugin_author
+                        "name": plugin.plugin_name,
+                        "remote": plugin.plugin_source,
+                        "version": plugin.plugin_version,
+                        "author": plugin.plugin_author,
                     },
                     function_name=function.name,
                     function_description=function.description,

pkg/utils/constants.py

@@ -1 +1 @@
-semantic_version = "v3.1.0.2"
+semantic_version = "v3.2.3"

pkg/utils/image.py

@@ -0,0 +1,41 @@
+import base64
+import typing
+from urllib.parse import urlparse, parse_qs
+import ssl
+
+import aiohttp
+
+
+async def qq_image_url_to_base64(
+    image_url: str
+) -> str:
+    """将QQ图片URL转为base64
+
+    Args:
+        image_url (str): QQ图片URL
+
+    Returns:
+        str: base64编码
+    """
+    parsed = urlparse(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()
+    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()
+
+    base64_str = base64.b64encode(file_bytes).decode()
+
+    return base64_str

requirements.txt

@@ -13,3 +13,5 @@ aiohttp
 pydantic
 websockets
 urllib3
+psutil
+async-lru

templates/metadata/llm-models.json

@@ -4,23 +4,73 @@
             "name": "default",
             "requester": "openai-chat-completions",
             "token_mgr": "openai",
-            "tool_call_supported": false
+            "tool_call_supported": false,
+            "vision_supported": false
+        },
+        {
+            "name": "gpt-3.5-turbo-0125",
+            "tool_call_supported": true,
+            "vision_supported": false
         },
         {
             "name": "gpt-3.5-turbo",
-            "tool_call_supported": true
+            "tool_call_supported": true,
+            "vision_supported": false
         },
         {
-            "name": "gpt-4",
-            "tool_call_supported": true
+            "name": "gpt-3.5-turbo-1106",
+            "tool_call_supported": true,
+            "vision_supported": false
+        },
+        {
+            "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
+            "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",
+            "tool_call_supported": true,
+            "vision_supported": true
+        },
+        {
+            "name": "gpt-4-0613",
+            "tool_call_supported": true,
+            "vision_supported": true
         },
         {
             "name": "gpt-4-32k",
-            "tool_call_supported": true
+            "tool_call_supported": true,
+            "vision_supported": true
+        },
+        {
+            "name": "gpt-4-32k-0613",
+            "tool_call_supported": true,
+            "vision_supported": true
         },
         {
             "model_name": "SparkDesk",
@@ -33,32 +83,43 @@
         {
             "name": "claude-3-opus-20240229",
             "requester": "anthropic-messages",
-            "token_mgr": "anthropic"
+            "token_mgr": "anthropic",
+            "vision_supported": true
         },
         {
             "name": "claude-3-sonnet-20240229",
             "requester": "anthropic-messages",
-            "token_mgr": "anthropic"
+            "token_mgr": "anthropic",
+            "vision_supported": true
         },
         {
             "name": "claude-3-haiku-20240307",
             "requester": "anthropic-messages",
-            "token_mgr": "anthropic"
+            "token_mgr": "anthropic",
+            "vision_supported": true
         },
         {
             "name": "moonshot-v1-8k",
             "requester": "moonshot-chat-completions",
-            "token_mgr": "moonshot"
+            "token_mgr": "moonshot",
+            "tool_call_supported": true
         },
         {
             "name": "moonshot-v1-32k",
             "requester": "moonshot-chat-completions",
-            "token_mgr": "moonshot"
+            "token_mgr": "moonshot",
+            "tool_call_supported": true
         },
         {
             "name": "moonshot-v1-128k",
             "requester": "moonshot-chat-completions",
-            "token_mgr": "moonshot"
+            "token_mgr": "moonshot",
+            "tool_call_supported": true
+        },
+        {
+            "name": "deepseek-chat",
+            "requester": "deepseek-chat-completions",
+            "token_mgr": "deepseek"
         }
     ]
 }

templates/pipeline.json

@@ -25,12 +25,20 @@
         "api-key": "",
         "api-secret": ""
     },
-    "submit-messages-tokens": 3072,
     "rate-limit": {
         "strategy": "drop",
         "algo": "fixwin",
         "fixwin": {
-            "default": 60
+            "default": {
+                "window-size": 60,
+                "limit": 60
+            }
+        }
+    },
+    "msg-truncate": {
+        "method": "round",
+        "round": {
+            "max-round": 10
         }
     }
 }

templates/provider.json

@@ -1,5 +1,6 @@
 {
     "enable-chat": true,
+    "enable-vision": true,
     "keys": {
         "openai": [
             "sk-1234567890"
@@ -9,6 +10,9 @@
         ],
         "moonshot": [
             "sk-1234567890"
+        ],
+        "deepseek": [
+            "sk-1234567890"
         ]
     },
     "requester": {
@@ -28,6 +32,11 @@
             "base-url": "https://api.moonshot.cn/v1",
             "args": {},
             "timeout": 120
+        },
+        "deepseek-chat-completions": {
+            "base-url": "https://api.deepseek.com",
+            "args": {},
+            "timeout": 120
         }
     },
     "model": "gpt-3.5-turbo",

templates/system.json

@@ -10,5 +10,6 @@
         "default": 1
     },
     "pipeline-concurrency": 20,
+    "qcg-center-url": "https://api.qchatgpt.rockchin.top/api/v2",
     "help-message": "QChatGPT - 😎高稳定性、🧩支持插件、🌏实时联网的 ChatGPT QQ 机器人🤖\n链接：https://q.rkcn.top"
 }