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https://github.com/xinnan-tech/xiaozhi-esp32-server.git
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Function插件自动装载 (#351)
* function call功能完善,增加天气查询,支持插件式扩展 * 增加角色切换功能,通过切换system提示词,修改角色认知 * 增加插件管理系统,可以通过语音加载和卸载插件 * docs: 添加命令操作 (#329) * docs: 添加命令操作 * feat: 添加 docker-setup.sh 脚本以简化服务端部署 - 新增 docker-setup.sh 脚本,自动创建目录结构、下载语音识别模型和配置文件,并检查文件完整性。 - 更新 Deployment.md 文档,提供一键执行脚本的说明和使用示例。 * docs: 更新 Deployment.md,添加环境访问 GitHub 的注意事项 * refactor: 更新 docker-setup.sh 脚本以支持多操作系统下载命令 - 修改脚本以检测操作系统类型,并根据不同系统选择合适的下载命令(curl 或 wget)。 - 优化错误处理,确保在下载失败时提供清晰的提示信息。 - 更新 Deployment.md 文档,调整懒人脚本的使用说明,增加手动部署的步骤。 * Update docker-setup.sh * Update docker-setup.sh --------- Co-authored-by: 欣南科技 <huangrongzhuang@xin-nan.com> * update:优化插件加载的配置提示 * update:增加自动安装脚本的操作说明 * update:优化插件配置,去掉旧版本的时间设定 --------- Co-authored-by: 玄凤科技 <eric230308@gmail.com> Co-authored-by: TinsFox <fox@tinsfox.com> Co-authored-by: hrz <1710360675@qq.com>
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@@ -15,10 +15,12 @@ from core.utils.util import get_string_no_punctuation_or_emoji, extract_json_fro
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from concurrent.futures import ThreadPoolExecutor, TimeoutError
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from core.handle.sendAudioHandle import sendAudioMessage
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from core.handle.receiveAudioHandle import handleAudioMessage
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from core.handle.intentHandler import Action, get_functions, handle_llm_function_call
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from core.handle.functionHandler import FunctionHandler
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from plugins_func.register import Action
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from config.private_config import PrivateConfig
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from core.auth import AuthMiddleware, AuthenticationError
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from core.utils.auth_code_gen import AuthCodeGenerator
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import plugins_func.loadplugins
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TAG = __name__
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@@ -94,6 +96,8 @@ class ConnectionHandler:
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self.use_function_call_mode = False
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if self.config["selected_module"]["Intent"] == 'function_call':
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self.use_function_call_mode = True
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self.func_handler = FunctionHandler(self.config)
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async def handle_connection(self, ws):
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try:
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@@ -185,11 +189,14 @@ class ConnectionHandler:
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self.prompt = self.config["prompt"]
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if self.private_config:
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self.prompt = self.private_config.private_config.get("prompt", self.prompt)
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# 赋予LLM时间观念
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if "{date_time}" in self.prompt:
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date_time = time.strftime("%Y-%m-%d %H:%M", time.localtime())
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self.prompt = self.prompt.replace("{date_time}", date_time)
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self.dialogue.put(Message(role="system", content=self.prompt))
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def change_system_prompt(self, prompt):
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self.prompt = prompt
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# 找到原来的role==system,替换原来的系统提示
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for m in self.dialogue.dialogue:
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if m.role == "system":
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m.content = prompt
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async def _check_and_broadcast_auth_code(self):
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"""检查设备绑定状态并广播认证码"""
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@@ -289,7 +296,7 @@ class ConnectionHandler:
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self.logger.bind(tag=TAG).debug(json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False))
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return True
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def chat_with_function_calling(self, query):
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def chat_with_function_calling(self, query, tool_call = False):
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self.logger.bind(tag=TAG).debug(f"Chat with function calling start: {query}")
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"""Chat with function calling for intent detection using streaming"""
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if self.isNeedAuth():
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@@ -297,11 +304,12 @@ class ConnectionHandler:
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future = asyncio.run_coroutine_threadsafe(self._check_and_broadcast_auth_code(), self.loop)
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future.result()
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return True
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self.dialogue.put(Message(role="user", content=query))
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if not tool_call:
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self.dialogue.put(Message(role="user", content=query))
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# Define intent functions
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functions = get_functions()
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functions = self.func_handler.get_functions()
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response_message = []
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processed_chars = 0 # 跟踪已处理的字符位置
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@@ -337,7 +345,7 @@ class ConnectionHandler:
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for response in llm_responses:
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content, tools_call = response
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if content is not None and len(content)>0:
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if len(response_message)<=0 and content=="```":
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if len(response_message)<=0 and (content=="```" or "<tool_call>" in content):
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tool_call_flag = True
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if tools_call is not None:
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@@ -385,7 +393,38 @@ class ConnectionHandler:
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self.tts_queue.put(future)
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processed_chars += len(segment_text_raw) # 更新已处理字符位置
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# 处理最后剩余的文本
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# 处理function call
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if tool_call_flag:
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bHasError = False
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if function_id is None:
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a = extract_json_from_string(content_arguments)
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if a is not None:
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try:
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content_arguments_json = json.loads(a)
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function_name = content_arguments_json["name"]
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function_arguments = json.dumps(content_arguments_json["arguments"], ensure_ascii=False)
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function_id = str(uuid.uuid4().hex)
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except Exception as e:
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bHasError = True
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response_message.append(a)
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else:
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bHasError = True
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response_message.append(content_arguments)
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if bHasError:
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self.logger.bind(tag=TAG).error(f"function call error: {content_arguments}")
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else:
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function_arguments = json.loads(function_arguments)
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if not bHasError:
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self.logger.bind(tag=TAG).info(f"function_name={function_name}, function_id={function_id}, function_arguments={function_arguments}")
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function_call_data = {
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"name": function_name,
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"id": function_id,
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"arguments": function_arguments
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}
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result = self.func_handler.handle_llm_function_call(self, function_call_data)
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self._handle_function_result(result, function_call_data, text_index+1)
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# 处理最后剩余的文本
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full_text = "".join(response_message)
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remaining_text = full_text[processed_chars:]
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if remaining_text:
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@@ -400,27 +439,6 @@ class ConnectionHandler:
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if len(response_message)>0:
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self.dialogue.put(Message(role="assistant", content="".join(response_message)))
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# 处理function call
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if tool_call_flag:
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if function_id is None:
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a = extract_json_from_string(content_arguments)
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if a is not None:
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content_arguments_json = json.loads(a)
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function_name = content_arguments_json["function_name"]
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function_arguments = json.dumps(content_arguments_json["args"], ensure_ascii=False)
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function_id = str(uuid.uuid4().hex)
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else:
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return []
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function_arguments = json.loads(function_arguments)
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self.logger.bind(tag=TAG).info(f"function_name={function_name}, function_id={function_id}, function_arguments={function_arguments}")
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function_call_data = {
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"name": function_name,
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"id": function_id,
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"arguments": function_arguments
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}
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result = handle_llm_function_call(self, function_call_data)
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self._handle_function_result(result, function_call_data, text_index+1)
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self.llm_finish_task = True
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self.logger.bind(tag=TAG).debug(json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False))
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@@ -434,7 +452,20 @@ class ConnectionHandler:
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self.tts_queue.put(future)
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self.dialogue.put(Message(role="assistant", content=text))
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if result.action == Action.REQLLM: # 调用函数后再请求llm生成回复
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text = result.response
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text = result.result
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if text is not None and len(text) > 0:
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function_id = function_call_data["id"]
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function_name = function_call_data["name"]
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function_arguments = function_call_data["arguments"]
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self.dialogue.put(Message(role='assistant',
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tool_calls=[{"id": function_id,
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"function": {"arguments": function_arguments,"name": function_name},
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"type": 'function',
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"index": 0}]))
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self.dialogue.put(Message(role="tool", tool_call_id=function_id, content=text))
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self.chat_with_function_calling(text, tool_call=True)
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if result.action == Action.NOTFOUND:
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text = result.response
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