Merge pull request #773 from RockChinQ/feat/multi-modal

Feat: 多模态

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"
 
@@ -45,18 +45,18 @@ class DefaultSetOperator(operator.CommandOperator):
         context: entities.ExecuteContext
     ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
             
-            if len(context.crt_params) == 0:
+        if len(context.crt_params) == 0:
-                yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供情景预设名称'))
+            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供情景预设名称'))
-            else:
+        else:
-                prompt_name = context.crt_params[0]
+            prompt_name = context.crt_params[0]
-        
+    
-                try:
+            try:
-                    prompt = await self.ap.prompt_mgr.get_prompt_by_prefix(prompt_name)
+                prompt = await self.ap.prompt_mgr.get_prompt_by_prefix(prompt_name)
-                    if prompt is None:
+                if prompt is None:
-                        yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: 未找到情景预设 {}".format(prompt_name)))
+                    yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: 未找到情景预设 {}".format(prompt_name)))
-                    else:
+                else:
-                        context.session.use_prompt_name = prompt.name
+                    context.session.use_prompt_name = prompt.name
-                        yield entities.CommandReturn(text=f"已设置当前会话默认情景预设为 {prompt_name}, !reset 后生效")
+                    yield entities.CommandReturn(text=f"已设置当前会话默认情景预设为 {prompt_name}, !reset 后生效")
-                except Exception as e:
+            except Exception as e:
-                    traceback.print_exc()
+                traceback.print_exc()
-                    yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: "+str(e)))
+                yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: "+str(e)))

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()
@@ -39,9 +39,11 @@ class JSONConfigFile(file_model.ConfigFile):
         with open(self.config_file_name, "r", encoding="utf-8") as f:
             cfg = json.load(f)
 
-        for key in self.template_data:
+        if completion:
-            if key not in cfg:
+
-                cfg[key] = self.template_data[key]
+            for key in self.template_data:
+                if key not in cfg:
+                    cfg[key] = self.template_data[key]
 
         return 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)
         
@@ -43,18 +43,19 @@ class PythonModuleConfigFile(file_model.ConfigFile):
             cfg[key] = getattr(module, key)
 
         # 从模板模块文件中进行补全
-        module_name = os.path.splitext(os.path.basename(self.template_file_name))[0]
+        if completion:
-        module = importlib.import_module(module_name)
+            module_name = os.path.splitext(os.path.basename(self.template_file_name))[0]
+            module = importlib.import_module(module_name)
 
-        for key in dir(module):
+            for key in dir(module):
-            if key.startswith('__'):
+                if key.startswith('__'):
-                continue
+                    continue
 
-            if not isinstance(getattr(module, key), allowed_types):
+                if not isinstance(getattr(module, key), allowed_types):
-                continue
+                    continue
 
-            if key not in cfg:
+                if key not in cfg:
-                cfg[key] = getattr(module, key)
+                    cfg[key] = getattr(module, key)
 
         return cfg
 

pkg/config/manager.py

@@ -20,8 +20,8 @@ class ConfigManager:
         self.file = cfg_file
         self.data = {}
 
-    async def load_config(self):
+    async def load_config(self, completion: bool=True):
-        self.data = await self.file.load()
+        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/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/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/bootutils/deps.py

@@ -14,6 +14,7 @@ required_deps = {
     "yaml": "pyyaml",
     "aiohttp": "aiohttp",
     "psutil": "psutil",
+    "async_lru": "async-lru",
 }
 
 

pkg/core/entities.py

@@ -70,7 +70,7 @@ class Query(pydantic.BaseModel):
     resp_messages: typing.Optional[list[llm_entities.Message]] = []
     """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
@@ -83,7 +82,6 @@ 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 +90,6 @@ 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.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")
+        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")
+        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")
+        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")
+        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

@@ -4,7 +4,7 @@ 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 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
 
 

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]
 
@@ -130,6 +142,21 @@ 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

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
@@ -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']:
+        elif len(str(query.resp_message_chain[-1])) > 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))
+            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/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
 
@@ -70,17 +71,13 @@ 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 +89,9 @@ 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 +104,6 @@ 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,
@@ -115,4 +113,65 @@ class ChatMessageHandler(handler.MessageHandler):
                     model_name=query.use_model.name,
                     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

@@ -80,9 +80,6 @@ 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 +93,28 @@ class CommandHandler(handler.MessageHandler):
                         result_type=entities.ResultType.CONTINUE,
                         new_query=query
                     )
-                elif ret.text is not None:
+                elif ret.text is not None or ret.image_url is not None:
-                    # query.resp_message_chain = mirai.MessageChain([
+
-                    #     mirai.Plain(ret.text)
+                    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/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

pkg/pipeline/stagemgr.py

@@ -17,17 +17,17 @@ from .ratelimit import ratelimit
 
 # 请求处理阶段顺序
 stage_order = [
-    "GroupRespondRuleCheckStage",
+    "GroupRespondRuleCheckStage",  # 群响应规则检查
-    "BanSessionCheckStage",
+    "BanSessionCheckStage",  # 封禁会话检查
-    "PreContentFilterStage",
+    "PreContentFilterStage",  # 内容过滤前置阶段
-    "PreProcessor",
+    "PreProcessor",  # 预处理器
-    "RequireRateLimitOccupancy",
+    "RequireRateLimitOccupancy",  # 请求速率限制占用
-    "MessageProcessor",
+    "MessageProcessor",  # 处理器
-    "ReleaseRateLimitOccupancy",
+    "ReleaseRateLimitOccupancy",  # 释放速率限制占用
-    "PostContentFilterStage",
+    "PostContentFilterStage",  # 内容过滤后置阶段
-    "ResponseWrapper",
+    "ResponseWrapper",  # 响应包装器
-    "LongTextProcessStage",
+    "LongTextProcessStage",  # 长文本处理
-    "SendResponseBackStage",
+    "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
@@ -27,17 +34,19 @@ class ResponseWrapper(stage.PipelineStage):
         """
         
         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):
+            # if not isinstance(query.resp_messages[-1].content, mirai.MessageChain):
-                query.resp_message_chain = mirai.MessageChain(query.resp_messages[-1].content)
+            #     query.resp_message_chain.append(mirai.MessageChain(query.resp_messages[-1].content))
-            else:
+            # else:
-                query.resp_message_chain = query.resp_messages[-1].content
+            #     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,
@@ -52,7 +61,7 @@ class ResponseWrapper(stage.PipelineStage):
                 reply_text = ''
 
                 if result.content is not None:  # 有内容
-                    reply_text = result.content
+                    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 +85,11 @@ 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 +102,7 @@ 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']:
                         
@@ -119,13 +128,13 @@ 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,
                                 new_query=query
-                            )
+                            )

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 +73,38 @@ class Message(pydantic.BaseModel):
 
     def readable_str(self) -> str:
         if self.content is not None:
-            return str(self.content)
+            return str(self.role) + ": " + str(self.get_content_mirai_message_chain())
-        elif self.function_call is not None:
-            return f'{self.function_call.name}({self.function_call.arguments})'
         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':
+                    mc.append(mirai.Image(url=ce.image_url))
+            
+            # 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 preprocess(
-    async def request(
         self,
         query: core_entities.Query,
-    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+    ):
-        """请求API
+        """预处理
+        
+        在这里处理特定API对Query对象的兼容性问题。
+        """
+        pass
 
-        对话前文可以从 query 对象中获取。
+    @abc.abstractmethod
-        可以多次yield消息对象。
+    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:
+        Returns:
-            pkg.provider.entities.Message: 返回消息对象
+            llm_entities.Message: 返回消息对象
         """
-        raise NotImplementedError
+        pass

pkg/provider/modelmgr/apis/anthropicmsgs.py

@@ -27,47 +27,60 @@ class AnthropicMessages(api.LLMAPIRequester):
             proxies=self.ap.proxy_mgr.get_forward_proxies()
         )
 
-    async def request(
+    async def call(
         self,
-        query: core_entities.Query,
+        model: entities.LLMModelInfo,
-    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+        messages: typing.List[llm_entities.Message],
-        self.client.api_key = query.use_model.token_mgr.get_token()
+        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
+        # 处理消息
-            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]
 
-        # 删除所有 role=system & content='' 的消息
+        # system
-        req_messages = [
+        system_role_message = None
-            m for m in req_messages if not (m["role"] == "system" and m["content"].strip() == "")
-        ]
 
-        # 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
+        for i, m in enumerate(messages):
-        system_role_index = []
+            if m.role == "system":
-        for i, m in enumerate(req_messages):
+                system_role_message = m
-            if m["role"] == "system":
-                system_role_index.append(i)
-                m["role"] = "user"
 
-        if system_role_index:
+                messages.pop(i)
-            for i in system_role_index[::-1]:
+                break
-                req_messages.insert(i + 1, {"role": "assistant", "content": "Okay, I'll follow."})
 
-        # 忽略掉空消息，用户可能发送空消息，而上层未过滤
+        if isinstance(system_role_message, llm_entities.Message) \
-        req_messages = [
+            and isinstance(system_role_message.content, str):
-            m for m in req_messages if m["content"].strip() != ""
+            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.get("type") == "text"
+                ]
+
+                if len(m.content) > 0:
+                    req_messages.append(m.dict(exclude_none=True))
 
         args["messages"] = req_messages
 
         try:
-
             resp = await self.client.messages.create(**args)
 
-            yield llm_entities.Message(
+            return llm_entities.Message(
                 content=resp.content[0].text,
                 role=resp.role
             )
@@ -79,4 +92,4 @@ class AnthropicMessages(api.LLMAPIRequester):
             if 'model: ' in str(e):
                 raise errors.RequesterError(f'模型无效: {e.message}')
             else:
-                raise errors.RequesterError(f'请求地址无效: {e.message}')
+                raise errors.RequesterError(f'请求地址无效: {e.message}')

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
@@ -84,73 +95,19 @@ class OpenAIChatCompletions(api.LLMAPIRequester):
         message = await self._make_msg(resp)
 
         return message
-
+    
-    async def _request(
+    async def call(
-        self, query: core_entities.Query
+        self,
-    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+        model: entities.LLMModelInfo,
-        """请求"""
+        messages: typing.List[llm_entities.Message],
-
+        funcs: typing.List[tools_entities.LLMFunction] = None,
-        pending_tool_calls = []
+    ) -> 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 query.prompt.messages if m.content.strip() != ""
+            m.dict(exclude_none=True) for m in messages
-        ] + [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):
+            return await self._closure(req_messages, model, funcs)
-                yield msg
         except asyncio.TimeoutError:
             raise errors.RequesterError('请求超时')
         except openai.BadRequestError as e:
@@ -163,6 +120,16 @@ 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

@@ -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("deepseek-chat-completions")
@@ -12,4 +15,39 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
 
     def __init__(self, ap: app.Application):
         self.requester_cfg = ap.provider_cfg.data['requester']['deepseek-chat-completions']
-        self.ap = ap
+        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

@@ -37,7 +37,7 @@ class ModelManager:
         raise ValueError(f"无法确定模型 {name} 的信息，请在元数据中配置")
     
     async def initialize(self):
-        
+
         # 初始化token_mgr, requester
         for k, v in self.ap.provider_cfg.data['keys'].items():
             self.token_mgrs[k] = token.TokenManager(k, v)
@@ -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/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

@@ -13,4 +13,5 @@ aiohttp
 pydantic
 websockets
 urllib3
-psutil
+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",
+            "name": "gpt-3.5-turbo-1106",
-            "tool_call_supported": true
+            "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",

templates/provider.json

@@ -1,5 +1,6 @@
 {
     "enable-chat": true,
+    "enable-vision": true,
     "keys": {
         "openai": [
             "sk-1234567890"