Add：AliAppLLM

main/xiaozhi-server/config.yaml

@@ -165,6 +165,18 @@ LLM:
     top_p: 1         
     top_k: 50        
     frequency_penalty: 0  # 频率惩罚
+  AliAppLLM:
+    # 定义LLM API类型
+    type: AliBL
+    base_url: https://dashscope.aliyuncs.com/compatible-mode/v1
+    app_id: 你的app_id
+    # 可在这里找到你的 api_key https://bailian.console.aliyun.com/?apiKey=1#/api-key
+    api_key: 你的api_key
+    # 是否不使用本地prompt：true|false (默不用请在百练应用中设置prompt) 
+    is_No_prompt: true
+    # Ali_memory_id：false（不使用）|你的memory_id（请在百练应用中设置中获取）
+    # Tips！：Ali_memory未实现多用户存储记忆(记忆按id调用)
+    Ali_memory_id: false
   DoubaoLLM:
     # 定义LLM API类型
     type: openai

main/xiaozhi-server/core/providers/llm/AliBL/AliBL.py

@@ -0,0 +1,52 @@
+from config.logger import setup_logging
+from http import HTTPStatus
+from dashscope import Application
+from core.providers.llm.base import LLMProviderBase
+
+TAG = __name__
+logger = setup_logging()
+
+class LLMProvider(LLMProviderBase):
+    def __init__(self, config):
+        self.api_key = config["api_key"]
+        self.app_id = config["app_id"]
+        self.base_url = config.get("base_url")
+        self.is_No_prompt = config.get("is_No_prompt")
+        self.memory_id = config.get("Ali_memory_id")
+
+    def response(self, session_id, dialogue):
+        try:
+            # 处理dialogue
+            if self.is_No_prompt:
+                dialogue.pop(0)
+                logger.bind(tag=TAG).debug(f"【阿里百练API服务】处理后的dialogue: {dialogue}")
+
+            # 构造调用参数
+            call_params = {
+                "api_key": self.api_key,
+                "app_id": self.app_id,
+                "session_id": session_id,
+                "messages": dialogue
+            }
+            if self.memory_id != False:
+                # 百练memory需要prompt参数
+                prompt = dialogue[-1].get("content")
+                call_params["memory_id"] = self.memory_id
+                call_params["prompt"] = prompt
+                logger.bind(tag=TAG).debug(f"【阿里百练API服务】处理后的prompt: {prompt}")
+
+            responses = Application.call(**call_params)
+            if responses.status_code != HTTPStatus.OK:
+                logger.bind(tag=TAG).error(
+                    f"code={responses.status_code}, "
+                    f"message={responses.message}, "
+                    f"请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
+                )
+                yield "【阿里百练API服务响应异常】"
+            else:
+                logger.bind(tag=TAG).debug(f"【阿里百练API服务】构造参数: {call_params}")
+                yield responses.output.text
+
+        except Exception as e:
+            logger.bind(tag=TAG).error(f"【阿里百练API服务】响应异常: {e}")
+            yield "【LLM服务响应异常】"