update:智控台，intent_llmM供应器增加functions输入框

main/manager-api/src/main/resources/db/changelog/202505091409.sql

@@ -1,27 +1,6 @@
--- 初始化智能体聊天记录
-DROP TABLE IF EXISTS ai_chat_history;
-DROP TABLE IF EXISTS ai_chat_message;
-DROP TABLE IF EXISTS ai_agent_chat_history;
-CREATE TABLE ai_agent_chat_history
-(
-    id          BIGINT AUTO_INCREMENT COMMENT '主键ID' PRIMARY KEY,
-    mac_address VARCHAR(50) COMMENT 'MAC地址',
-    agent_id VARCHAR(32) COMMENT '智能体id',
-    session_id  VARCHAR(50) COMMENT '会话ID',
-    chat_type   TINYINT(3) COMMENT '消息类型: 1-用户, 2-智能体',
-    content     VARCHAR(1024) COMMENT '聊天内容',
-    audio_id    VARCHAR(32) COMMENT '音频ID',
-    created_at  DATETIME(3) DEFAULT CURRENT_TIMESTAMP(3) NOT NULL COMMENT '创建时间',
-    updated_at  DATETIME(3) DEFAULT CURRENT_TIMESTAMP(3) NOT NULL ON UPDATE CURRENT_TIMESTAMP(3) COMMENT '更新时间',
-    INDEX idx_ai_agent_chat_history_mac (mac_address),
-    INDEX idx_ai_agent_chat_history_session_id (session_id),
-    INDEX idx_ai_agent_chat_history_agent_id (agent_id),
-    INDEX idx_ai_agent_chat_history_agent_session_created (agent_id, session_id, created_at)
-) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '智能体聊天记录表';
-
-DROP TABLE IF EXISTS ai_agent_chat_audio;
-CREATE TABLE ai_agent_chat_audio
-(
-    id          VARCHAR(32) COMMENT '主键ID' PRIMARY KEY,
-    audio       LONGBLOB COMMENT '音频opus数据'
-) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '智能体聊天音频数据表'; 
+-- 更新intent_llmM供应器
+update `ai_model_provider` set fields =  '[{"key":"llm","label":"LLM模型","type":"string"},{"key":"functions","label":"函数列表","type":"dict","dict_name":"functions"}]' where  id = 'SYSTEM_Intent_intent_llm';
+-- 更新ChatGLMLLM的意图识别配置
+update `ai_model_config` set config_json =  '{\"type\": \"intent_llm\", \"llm\": \"LLM_ChatGLMLLM\", \"functions\": \"get_weather;get_news_from_newsnow;play_music\"}' where  id = 'Intent_intent_llm';
+-- 更新函数调用意图识别配置
+UPDATE `ai_model_config` SET config_json = REPLACE(config_json, ';get_news;', ';get_news_from_newsnow;') WHERE id = 'Intent_function_call';

main/manager-api/src/main/resources/db/changelog/db.changelog-master.yaml

@@ -99,4 +99,11 @@ databaseChangeLog:
       changes:
         - sqlFile:
             encoding: utf8
-            path: classpath:db/changelog/202505022134.sql
+            path: classpath:db/changelog/202505022134.sql
+  - changeSet:
+      id: 202505091409
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202505091409.sql

main/xiaozhi-server/core/handle/intentHandler.py

@@ -112,7 +112,7 @@ async def process_intent_result(conn, intent_result, original_text):
                     elif result.action == Action.REQLLM:  # 调用函数后再请求llm生成回复
                         text = result.result
                         conn.dialogue.put(Message(role="tool", content=text))
-                        llm_result = conn.intent.replyResult(text)
+                        llm_result = conn.intent.replyResult(text, original_text)
                         if llm_result is None:
                             llm_result = text
                         speak_and_play(conn, llm_result)

main/xiaozhi-server/core/providers/intent/intent_llm/intent_llm.py

@@ -105,10 +105,11 @@ class IntentProvider(IntentProviderBase):
             for key, _ in sorted_items[: len(sorted_items) - self.cache_max_size]:
                 del self.intent_cache[key]
 
-    def replyResult(self, text: str):
+    def replyResult(self, text: str, original_text: str):
         llm_result = self.llm.response_no_stream(
             system_prompt=text,
-            user_prompt="请总结以上内容，像人类一样说话的口吻回复用户，要求简洁，请直接返回结果。",
+            user_prompt="请根据以上内容，像人类一样说话的口吻回复用户，要求简洁，请直接返回结果。用户现在说："
+            + original_text,
         )
         return llm_result