chore: release 3.2.3

Release 3.2.3

README.md

@@ -39,7 +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>
 
+<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>

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/config/impls/json.py

@@ -37,7 +37,10 @@ class JSONConfigFile(file_model.ConfigFile):
                 self.template_data = json.load(f)
 
         with open(self.config_file_name, "r", encoding="utf-8") as f:
-            cfg = json.load(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:
 

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/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():
-    app_inst = await make_app()
-    await app_inst.run()
+    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/entities.py

@@ -67,7 +67,7 @@ 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[list[mirai.MessageChain]] = None

pkg/core/stages/build_app.py

@@ -34,6 +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"],

pkg/core/stages/migrate.py

@@ -4,8 +4,8 @@ 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, m006_vision_config
-from ...config.migrations import m005_deepseek_cfg_completion
+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/cntfilter/cntfilter.py

@@ -163,13 +163,13 @@ class ContentFilterStage(stage.PipelineStage):
             )
         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/longtext/longtext.py

@@ -34,18 +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"
 

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/process/handlers/chat.py

@@ -42,12 +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,

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,

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/resprule/resprule.py

@@ -44,8 +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

@@ -13,6 +13,7 @@ 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
@@ -21,6 +22,7 @@ stage_order = [
     "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

pkg/pipeline/wrapper/wrapper.py

@@ -32,80 +32,49 @@ class ResponseWrapper(stage.PipelineStage):
     ) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
         """处理
         """
-        
-        if query.resp_messages[-1].role == 'command':
-            # 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] '))
+
+        # 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
             )
-        elif query.resp_messages[-1].role == 'plugin':
-            # 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,
-                new_query=query
-            )
         else:
+        
+            if query.resp_messages[-1].role == 'command':
+                # 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] '))
 
-            if query.resp_messages[-1].role == 'assistant':
-                result = query.resp_messages[-1]
-                session = await self.ap.sess_mgr.get_session(query)
+                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.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())
 
-                reply_text = ''
+                yield entities.StageProcessResult(
+                    result_type=entities.ResultType.CONTINUE,
+                    new_query=query
+                )
+            else:
 
-                if result.content is not None:  # 有内容
-                    reply_text = str(result.get_content_mirai_message_chain())
+                if query.resp_messages[-1].role == 'assistant':
+                    result = query.resp_messages[-1]
+                    session = await self.ap.sess_mgr.get_session(query)
 
-                    # ============= 触发插件事件 ===============
-                    event_ctx = await self.ap.plugin_mgr.emit_event(
-                        event=events.NormalMessageResponded(
-                            launcher_type=query.launcher_type.value,
-                            launcher_id=query.launcher_id,
-                            sender_id=query.sender_id,
-                            session=session,
-                            prefix='',
-                            response_text=reply_text,
-                            finish_reason='stop',
-                            funcs_called=[fc.function.name for fc in result.tool_calls] if result.tool_calls is not None else [],
-                            query=query
-                        )
-                    )
-                    if event_ctx.is_prevented_default():
-                        yield entities.StageProcessResult(
-                            result_type=entities.ResultType.INTERRUPT,
-                            new_query=query
-                        )
-                    else:
-                        if event_ctx.event.reply is not None:
-                            
-                            query.resp_message_chain.append(mirai.MessageChain(event_ctx.event.reply))
+                    reply_text = ''
 
-                        else:
+                    if result.content:  # 有内容
+                        reply_text = str(result.get_content_mirai_message_chain())
 
-                            query.resp_message_chain.append(result.get_content_mirai_message_chain())
-
-                        yield entities.StageProcessResult(
-                            result_type=entities.ResultType.CONTINUE,
-                            new_query=query
-                        )
-
-                if result.tool_calls is not None:  # 有函数调用
-                    
-                    function_names = [tc.function.name for tc in result.tool_calls]
-
-                    reply_text = f'调用函数 {".".join(function_names)}...'
-
-                    query.resp_message_chain.append(mirai.MessageChain([mirai.Plain(reply_text)]))
-
-                    if self.ap.platform_cfg.data['track-function-calls']:
-                        
+                        # ============= 触发插件事件 ===============
                         event_ctx = await self.ap.plugin_mgr.emit_event(
                             event=events.NormalMessageResponded(
                                 launcher_type=query.launcher_type.value,
@@ -119,7 +88,6 @@ class ResponseWrapper(stage.PipelineStage):
                                 query=query
                             )
                         )
-
                         if event_ctx.is_prevented_default():
                             yield entities.StageProcessResult(
                                 result_type=entities.ResultType.INTERRUPT,
@@ -132,9 +100,52 @@ class ResponseWrapper(stage.PipelineStage):
 
                             else:
 
-                                query.resp_message_chain.append(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,
                                 new_query=query
                             )
+
+                    if result.tool_calls is not None:  # 有函数调用
+                        
+                        function_names = [tc.function.name for tc in result.tool_calls]
+
+                        reply_text = f'调用函数 {".".join(function_names)}...'
+
+                        query.resp_message_chain.append(mirai.MessageChain([mirai.Plain(reply_text)]))
+
+                        if self.ap.platform_cfg.data['track-function-calls']:
+                            
+                            event_ctx = await self.ap.plugin_mgr.emit_event(
+                                event=events.NormalMessageResponded(
+                                    launcher_type=query.launcher_type.value,
+                                    launcher_id=query.launcher_id,
+                                    sender_id=query.sender_id,
+                                    session=session,
+                                    prefix='',
+                                    response_text=reply_text,
+                                    finish_reason='stop',
+                                    funcs_called=[fc.function.name for fc in result.tool_calls] if result.tool_calls is not None else [],
+                                    query=query
+                                )
+                            )
+
+                            if event_ctx.is_prevented_default():
+                                yield entities.StageProcessResult(
+                                    result_type=entities.ResultType.INTERRUPT,
+                                    new_query=query
+                                )
+                            else:
+                                if event_ctx.event.reply is not None:
+                                    
+                                    query.resp_message_chain.append(mirai.MessageChain(event_ctx.event.reply))
+
+                                else:
+
+                                    query.resp_message_chain.append(mirai.MessageChain([mirai.Plain(reply_text)]))
+
+                                yield entities.StageProcessResult(
+                                    result_type=entities.ResultType.CONTINUE,
+                                    new_query=query
+                                )

pkg/platform/sources/aiocqhttp.py

@@ -31,13 +31,15 @@ class AiocqhttpMessageConverter(adapter.MessageConverter):
                 msg_time = msg.time
             elif type(msg) is mirai.Image:
                 arg = ''
-
-                if msg.url:
+                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))
+                    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

@@ -96,7 +96,16 @@ class Message(pydantic.BaseModel):
                 if ce.type == 'text':
                     mc.append(mirai.Plain(ce.text))
                 elif ce.type == 'image':
-                    mc.append(mirai.Image(url=ce.image_url))
+                    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:

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")
@@ -54,29 +55,45 @@ class AnthropicMessages(api.LLMAPIRequester):
             and isinstance(system_role_message.content, str):
             args['system'] = system_role_message.content
 
-        # 其他消息
-        # req_messages = [
-        #     m.dict(exclude_none=True) for m in messages \
-        #         if (isinstance(m.content, str) and m.content.strip() != "") \
-        #         or (isinstance(m.content, list) and )
-        # ]
-        # 暂时不支持vision，仅保留纯文字的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):
-                # 删除m.content中的type!=text的元素
-                m.content = [
-                    c for c in m.content if c.type == "text"
-                ]
+                # 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))
+                # 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
 
+        # 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)
 

pkg/provider/modelmgr/apis/chatcmpl.py

@@ -102,9 +102,16 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
         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
-            m.dict(exclude_none=True) for m in messages
-        ]
+        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)
 
         try:
             return await self._closure(req_messages, model, funcs)

pkg/provider/tools/toolmgr.py

@@ -9,11 +9,10 @@ from ...plugin import context as plugin_context
 
 
 class ToolManager:
-    """LLM工具管理器
-    """
+    """LLM工具管理器"""
 
     ap: app.Application
-    
+
     def __init__(self, ap: app.Application):
         self.ap = ap
         self.all_functions = []
@@ -22,35 +21,33 @@ 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.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:
             all_functions.extend(plugin.content_functions)
-        
+
         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:
@@ -60,40 +57,71 @@ 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:
 
             function, plugin = await self.get_function_and_plugin(name)
             if function is None:
                 return None
-            
+
             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
@@ -107,11 +135,11 @@ 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 = "v3.2.0.1"
+semantic_version = "v3.2.3"

templates/metadata/llm-models.json

@@ -83,32 +83,38 @@
         {
             "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",

templates/pipeline.json

@@ -29,7 +29,16 @@
         "strategy": "drop",
         "algo": "fixwin",
         "fixwin": {
-            "default": 60
+            "default": {
+                "window-size": 60,
+                "limit": 60
+            }
+        }
+    },
+    "msg-truncate": {
+        "method": "round",
+        "round": {
+            "max-round": 10
         }
     }
 }

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"
 }