diff --git a/dbm-ui/backend/db_monitor/views/callbacks/mysql.py b/dbm-ui/backend/db_monitor/views/callbacks/mysql.py
index 7434abb6fb1..db57f334393 100644
--- a/dbm-ui/backend/db_monitor/views/callbacks/mysql.py
+++ b/dbm-ui/backend/db_monitor/views/callbacks/mysql.py
@@ -22,9 +22,7 @@
 from backend.db_monitor.views.callbacks.base import AlarmCallback
 from backend.db_report.portrait import MysqlPortraitDimensionCode, ingest_summary
 from backend.db_report.portrait.exceptions import PortraitSDKBaseException
-from backend.dbm_aiagent.agent.commands.commands import MySQLAlarmAnalyzerCommand
 from backend.dbm_aiagent.agent.constants import DBMAgentCode
-from backend.dbm_aiagent.agent.handlers import AgentHandler
 
 logger = logging.getLogger("root")
 
@@ -265,6 +263,10 @@ def call_mysql_alarm_analyzer(callback_data: dict, alarm_base_info: dict):
         return
 
     try:
+        # 延迟导入，避免监控策略视图在单测收集期强依赖 aidev Agent 包
+        from backend.dbm_aiagent.agent.commands.commands import MySQLAlarmAnalyzerCommand
+        from backend.dbm_aiagent.agent.handlers import AgentHandler
+
         # 调用 AI Agent 进行慢查询分析
         user_prompt = extract_callback_key_info(callback_data)
         logger.info(
@@ -325,6 +327,8 @@ def _call_agent_and_notify(
         timeout: Agent 调用超时时间（秒）
     """
     try:
+        from backend.dbm_aiagent.agent.handlers import AgentHandler
+
         logger.info(_("[{}] 告警触发 AI 分析，集群: {}").format(log_tag, cluster_domain))
         agent_output = AgentHandler.ask_agent_with_content(
             agent_code=agent_code,
diff --git a/dbm-ui/backend/db_monitor/views/callbacks/redis.py b/dbm-ui/backend/db_monitor/views/callbacks/redis.py
index ce8a0a5106f..ad312a9ea05 100644
--- a/dbm-ui/backend/db_monitor/views/callbacks/redis.py
+++ b/dbm-ui/backend/db_monitor/views/callbacks/redis.py
@@ -227,6 +227,8 @@ def call_redis_alarm_correlation_analysis(callback_data: dict, alarm_base_info:
         return
 
     try:
+        from backend.dbm_aiagent.agent.handlers import AgentHandler
+
         # 设置去重锁，防止后续同策略告警重复触发
         cache.set(lock_key, 1, DEDUP_LOCK_TTL)
 
@@ -235,8 +237,6 @@ def call_redis_alarm_correlation_analysis(callback_data: dict, alarm_base_info:
             "cluster_domains": list(cluster_domains),
         }
 
-        from backend.dbm_aiagent.agent.handlers import AgentHandler
-
         result_summary = AgentHandler.ask_agent_with_command(
             command=RedisLatencyAlarmRootCauseCommand.command,
             command_params=correlation_input,
diff --git a/dbm-ui/backend/db_periodic_task/local_tasks/ai_mysql_tasks/mysql_slowlog_analysis.py b/dbm-ui/backend/db_periodic_task/local_tasks/ai_mysql_tasks/mysql_slowlog_analysis.py
index 9a9903ba51a..2b5a56958e4 100644
--- a/dbm-ui/backend/db_periodic_task/local_tasks/ai_mysql_tasks/mysql_slowlog_analysis.py
+++ b/dbm-ui/backend/db_periodic_task/local_tasks/ai_mysql_tasks/mysql_slowlog_analysis.py
@@ -15,6 +15,7 @@
 from django.db.models import Count
 from django.utils import timezone
 
+from backend import env
 from backend.db_meta.enums import ClusterType, InstanceRole, TenDBClusterSpiderRole
 from backend.db_periodic_task.local_tasks import register_periodic_task
 from backend.db_periodic_task.local_tasks.mysql_backup.check_ignore import CheckIgnore
@@ -22,7 +23,6 @@
 from backend.db_report.models.mysql_slowlog_ai_analysis import MysqlSlowlogAiAnalysis
 from backend.db_report.models.mysql_slowlog_detail import MysqlSlowlogDetail
 from backend.dbm_aiagent.agent.commands.commands import MySQLSlowLogCommand
-from backend.dbm_aiagent.agent.handlers import AgentHandler
 
 logger = logging.getLogger("root")
 
@@ -33,6 +33,10 @@
 @register_periodic_task(run_every=crontab(minute=0))
 def periodic_mysql_slowlog_ai_analysis():
     """周期任务：从慢日志详情表中查询过去 1 小时内慢查询数量超过阈值的集群，进行 AI 分析"""
+    if not env.ENABLE_DBM_AI:
+        return
+
+    from backend.dbm_aiagent.agent.handlers import AgentHandler
 
     now = timezone.now()
     time_window_start = now - timedelta(hours=1)
diff --git a/dbm-ui/backend/db_periodic_task/local_tasks/ai_tasks/log_analysis.py b/dbm-ui/backend/db_periodic_task/local_tasks/ai_tasks/log_analysis.py
index b6f64b6a866..60bf4291fd3 100644
--- a/dbm-ui/backend/db_periodic_task/local_tasks/ai_tasks/log_analysis.py
+++ b/dbm-ui/backend/db_periodic_task/local_tasks/ai_tasks/log_analysis.py
@@ -10,16 +10,21 @@
 """
 from celery.schedules import crontab
 
+from backend import env
 from backend.db_periodic_task.constants import GET_AND_DELETE_SET_LUA
 from backend.db_periodic_task.local_tasks import register_periodic_task
 from backend.dbm_aiagent.agent.constants import FLOW_LOG_AI_ANALYSIS_KEY
-from backend.dbm_aiagent.agent.services.log_analysis.tasks import pipeline_log_ai_analysis
 from backend.utils.redis import RedisConn
 
 
 @register_periodic_task(run_every=crontab(minute="*"))
 def periodic_pipeline_log_ai_analysis():
     """周期任务错误日志AI分析"""
+    if not env.ENABLE_DBM_AI:
+        return
+
+    from backend.dbm_aiagent.agent.services.log_analysis.tasks import pipeline_log_ai_analysis
+
     script = RedisConn.register_script(GET_AND_DELETE_SET_LUA)
     task_list = script(keys=[FLOW_LOG_AI_ANALYSIS_KEY])
     for root_id in task_list:
diff --git a/dbm-ui/backend/db_periodic_task/local_tasks/mysql_cluster_skew/generate_report/tasks.py b/dbm-ui/backend/db_periodic_task/local_tasks/mysql_cluster_skew/generate_report/tasks.py
index 56636b89829..886e018d79b 100644
--- a/dbm-ui/backend/db_periodic_task/local_tasks/mysql_cluster_skew/generate_report/tasks.py
+++ b/dbm-ui/backend/db_periodic_task/local_tasks/mysql_cluster_skew/generate_report/tasks.py
@@ -37,9 +37,6 @@
 from backend.db_report.models.mysql_cluster_skew_report import MysqlClusterSkewReport
 from backend.db_report.portrait import MysqlPortraitDimensionCode, ingest_summary
 from backend.db_report.portrait.exceptions import PortraitSDKBaseException
-from backend.dbm_aiagent.agent.constants import DBMAgentCode
-from backend.dbm_aiagent.agent.handlers import AgentHandler
-from backend.dbm_aiagent.mcp_tools.mysql.impl.query_cluster_skew_data import has_cluster_skew
 
 logger = logging.getLogger("celery.generate_mysql_skew_report")
 
@@ -167,6 +164,10 @@ def generate_report():
 
 @app.task
 def _generate_cluster_skew_report(cluster_type: str, domain: str, lock_key: str, bk_biz_id: int):
+    from backend.dbm_aiagent.agent.constants import DBMAgentCode
+    from backend.dbm_aiagent.agent.handlers import AgentHandler
+    from backend.dbm_aiagent.mcp_tools.mysql.impl.query_cluster_skew_data import has_cluster_skew
+
     logger.info("generate %s skew report start: lock_key=%s", domain, lock_key)
     try:
         # 本地墙钟时间，不带时区，与 Doris detect_time、倾斜检测写入方式一致
diff --git a/dbm-ui/backend/db_periodic_task/local_tasks/mysql_config_ai_inspect/tasks.py b/dbm-ui/backend/db_periodic_task/local_tasks/mysql_config_ai_inspect/tasks.py
index 3781240ebe5..f3474e19e46 100644
--- a/dbm-ui/backend/db_periodic_task/local_tasks/mysql_config_ai_inspect/tasks.py
+++ b/dbm-ui/backend/db_periodic_task/local_tasks/mysql_config_ai_inspect/tasks.py
@@ -28,7 +28,6 @@
 from backend.db_report.portrait import MysqlPortraitDimensionCode, ingest_summary
 from backend.db_report.portrait.exceptions import PortraitSDKBaseException
 from backend.dbm_aiagent.agent.constants import DEFAULT_AGENT_CHAT_TIMEOUT, DBMAgentCode
-from backend.dbm_aiagent.agent.handlers import AgentHandler
 
 logger = logging.getLogger("celery")
 
@@ -215,6 +214,8 @@ def run_mysql_config_ai_inspect(row_id: int, lock_key: str):
         logger.info(_("配置巡检开始调用 agent: id={} domain={}").format(row.id, row.cluster_domain))
         t_start = time.monotonic()
         try:
+            from backend.dbm_aiagent.agent.handlers import AgentHandler
+
             res = AgentHandler.ask_agent_with_content(
                 agent_code=DBMAgentCode.MYSQL_CONFIG_PERF_TUNER,
                 content=str(content),
diff --git a/dbm-ui/backend/dbm_aiagent/agent/builtin.py b/dbm-ui/backend/dbm_aiagent/agent/builtin.py
index 7b3fc3b928b..f5def8e804c 100644
--- a/dbm-ui/backend/dbm_aiagent/agent/builtin.py
+++ b/dbm-ui/backend/dbm_aiagent/agent/builtin.py
@@ -14,6 +14,7 @@
 from aidev_bkplugin.views.agent import AgentInfoViewSet
 from aidev_bkplugin.views.chat import ChatCompletionViewSet
 from aidev_bkplugin.views.chat_group import ChatGroupViewSet
+from aidev_bkplugin.views.llm import LLMViewSet
 from aidev_bkplugin.views.session import (
     ChatSessionContentFeedbackViewSet,
     ChatSessionContentViewSet,
@@ -108,3 +109,7 @@ class AIChatGroupViewSet(AgentCodeResourceManagerMixin, ChatGroupViewSet):
 
 class AIChatSessionShareView(AgentCodeResourceManagerMixin, ChatSessionShareView):
     pass
+
+
+class AILLMViewSet(AgentCodeResourceManagerMixin, LLMViewSet):
+    pass
diff --git a/dbm-ui/backend/dbm_aiagent/agent/configs/manager.py b/dbm-ui/backend/dbm_aiagent/agent/configs/manager.py
index ec97718a9c9..dbff1bb40f4 100644
--- a/dbm-ui/backend/dbm_aiagent/agent/configs/manager.py
+++ b/dbm-ui/backend/dbm_aiagent/agent/configs/manager.py
@@ -12,8 +12,8 @@
 import logging
 
 from aidev_agent.enums import CredentialType
-from aidev_agent.packages.resource_manager import AgentResourceManager
 from aidev_agent.pydantic_models import AgentConfig
+from aidev_bkplugin.services.agent_builder import LLMOverrideResourceManager
 from aidev_bkplugin.services.agent_session import SessionManager
 from django.conf import settings
 from django.core.cache import cache
@@ -52,15 +52,18 @@
 }
 
 
-class DBMAgentResourceManager(AgentResourceManager):
+class DBMAgentResourceManager(LLMOverrideResourceManager):
     """DBM Agent配置管理器"""
 
-    def __init__(self, username="", agent_code: str = None, agent_secret: str = None):
+    def __init__(self, username="", agent_code: str = None, agent_secret: str = None, model: str = ""):
+        """
+        :param model: 覆盖智能体发布时配置的 chat_model，为空时沿用平台配置
+        """
         agent_code = agent_code or settings.AGENT_APP_CODE
         agent_secret = agent_secret or settings.AGENT_APP_SECRET
         # TODO：这里不能传递真实的username，暂时为空
         username = "" if username == DEFAULT_USERNAME else username
-        super().__init__(app_code=agent_code, app_secret=agent_secret, username=username)
+        super().__init__(app_code=agent_code, app_secret=agent_secret, username=username, model=model)
 
     @classmethod
     def set_backend_mcp_config(cls, agent_config: AgentConfig):
@@ -159,18 +162,19 @@ def get_paas_sbx_client(self, executor_info: dict, **kwargs):
         return client
 
 
-def build_resource_manager(agent_code, username) -> DBMAgentResourceManager:
+def build_resource_manager(agent_code, username, model: str = "") -> DBMAgentResourceManager:
     """
     构建子智能体 resource-manager
     如果没配置，则默认走主智能体调用（快捷指令路由）
     :param agent_code: 子智能体 code，未配置 token 时回退到主智能体
     :param username: 用户名，用于用户态 access_token 注入（view 层透传）
+    :param model: 覆盖智能体发布时配置的 chat_model，为空时沿用平台配置
     """
     agent_token_config = SystemSettings.get_setting_value(key=SystemSettingsEnum.AGENT_TOKEN_CONFIG, default={})
     agent_token = agent_token_config.get(agent_code, "")
     if not agent_token:
-        return DBMAgentResourceManager(username)
-    return DBMAgentResourceManager(username, agent_code, agent_token)
+        return DBMAgentResourceManager(username, model=model)
+    return DBMAgentResourceManager(username, agent_code, agent_token, model=model)
 
 
 def build_session_manager(agent_code, username) -> SessionManager:
diff --git a/dbm-ui/backend/dbm_aiagent/agent/handlers.py b/dbm-ui/backend/dbm_aiagent/agent/handlers.py
index 323bcb44f2f..6c1d6b28a2c 100644
--- a/dbm-ui/backend/dbm_aiagent/agent/handlers.py
+++ b/dbm-ui/backend/dbm_aiagent/agent/handlers.py
@@ -37,17 +37,25 @@ class AgentHandler:
 
     @staticmethod
     def __generate_session_code():
-        """生成session_code"""
+        """生成session_code
+
+        :return: uuid4 字符串，作为 aidev 平台会话的唯一标识
+        """
         return str(uuid.uuid4())
 
     @staticmethod
-    def __build_resource_manager(agent_code, username) -> DBMAgentResourceManager:
-        """创建子智能体 resource manager"""
-        return build_resource_manager(agent_code, username)
+    def __build_resource_manager(agent_code, username, model: str = "") -> DBMAgentResourceManager:
+        """创建子智能体 resource manager
+        resource manager 决定了本次调用使用哪套 app 凭证、以谁的身份换取 access_token，
+        以及最终装配 agent 时使用的模型配置。
+        """
+        return build_resource_manager(agent_code, username, model)
 
     @staticmethod
     def __build_session_manager(agent_code, username) -> SessionManager:
-        """创建session manager"""
+        """创建session manager
+        session manager 只负责会话及会话内容的增删查，不参与 agent 装配，因此无需模型信息。
+        """
         return build_session_manager(agent_code, username)
 
     @classmethod
@@ -57,7 +65,15 @@ def __build_client(cls, agent_code, username):
 
     @classmethod
     def create_temporary_session(cls, username, agent_code):
-        """创建临时会话"""
+        """创建临时会话
+
+        临时会话（is_temporary=True）不会出现在用户的会话列表中，适用于后台任务、
+        单次问答等不需要留存上下文的场景。
+
+        :param username: 会话归属的用户名
+        :param agent_code: 会话使用的智能体 code
+        :return: 新建会话的 session_code
+        """
         session_code = cls.__generate_session_code()
 
         # 创建临时会话
@@ -81,10 +97,27 @@ def create_chat_completion(
         stream: bool = False,
         timeout=DEFAULT_AGENT_CHAT_TIMEOUT,
         username=DEFAULT_USERNAME,
+        *,
+        model: str = "",
     ):
-        """获得本次对话内容，支持流式/非流式"""
+        """获得本次对话内容，支持流式/非流式
+
+        以 session_code 为上下文装配 agent 并执行，会话历史由 SDK 从平台侧拉取，
+        因此调用前需保证用户提问已写入该会话。
+
+        :param agent_code: 应答使用的智能体 code
+        :param session_code: 会话 code，agent 由此还原完整对话上下文
+        :param session_content_id: 本轮用户提问的内容 ID。当前实现未使用（SDK 直接按
+            session_code 拉取会话上下文），保留该参数用于调用链路追溯
+        :param stream: 是否流式返回
+        :param timeout: 单次对话的超时时间（秒）
+        :param username: 调用者用户名，决定 access_token 与工时归属
+        :param model: 指定本次对话使用的 LLM，为空时使用智能体发布时配置的模型
+        :return: 非流式返回 dict（含 choices/model/id/reference_doc）；流式返回事件生成器
+        """
         execute_kwargs = ExecuteKwargs(stream=stream, invoke_timeout=timeout)
-        rm = cls.__build_resource_manager(agent_code, username)
+        # 模型覆盖挂在 resource manager 上，agent 装配时经 get_agent_config 生效
+        rm = cls.__build_resource_manager(agent_code, username, model)
         sm = cls.__build_session_manager(agent_code, username)
         agent_instance = AgentBuilder(
             resource_manager=rm,
@@ -104,8 +137,23 @@ def ask_agent_with_content(
         session_code=None,
         stream: bool = False,
         timeout=DEFAULT_AGENT_CHAT_TIMEOUT,
+        *,
+        model: str = "",
     ):
-        """根据agent直接内容询问agent"""
+        """根据agent直接内容询问agent
+
+        完整链路：准备会话 -> 写入用户提问 -> 触发 AI 应答。
+        未传 session_code 时会新建临时会话，即一次性问答；传入则在既有会话内追加提问。
+
+        :param agent_code: 目标智能体 code。非主智能体时按快捷指令语义记录，用于工时统计
+        :param content: 用户提问内容
+        :param username: 调用者用户名
+        :param session_code: 复用的会话 code，为空时新建临时会话
+        :param stream: 是否流式返回
+        :param timeout: 单次对话的超时时间（秒）
+        :param model: 指定本次对话使用的 LLM，为空时使用智能体发布时配置的模型
+        :return: 非流式返回 AI 回复正文字符串；流式返回 StreamingHttpResponse
+        """
         # 创建临时会话
         session_code = session_code or cls.create_temporary_session(username, agent_code)
 
@@ -129,6 +177,7 @@ def ask_agent_with_content(
             stream=stream,
             timeout=timeout,
             username=username,
+            model=model,
         )
 
         if stream and not isinstance(ai_response, dict):
@@ -144,10 +193,26 @@ def ask_agent_with_content_in_session(
         username=DEFAULT_USERNAME,
         session_code=None,
         timeout=DEFAULT_AGENT_CHAT_TIMEOUT,
+        *,
+        model: str = "",
     ):
-        """根据agent直接内容询问agent, 连续对话"""
+        """根据agent直接内容询问agent, 连续对话
+
+        与 ask_agent_with_content 的差别在于额外返回 session_code，调用方把它带入下一轮
+        即可延续上下文，实现多轮对话。仅支持非流式。
+
+        :param agent_code: 目标智能体 code
+        :param content: 用户提问内容
+        :param username: 调用者用户名
+        :param session_code: 复用的会话 code，为空时新建临时会话
+        :param timeout: 单次对话的超时时间（秒）
+        :param model: 指定本次对话使用的 LLM，为空时使用智能体发布时配置的模型
+        :return: (AI 回复正文, 本轮使用的 session_code)
+        """
         session_code = session_code or cls.create_temporary_session(username, agent_code)
-        ai_response = cls.ask_agent_with_content(agent_code, content, username, session_code, timeout=timeout)
+        ai_response = cls.ask_agent_with_content(
+            agent_code, content, username, session_code, timeout=timeout, model=model
+        )
         return ai_response, session_code
 
     @classmethod
@@ -158,8 +223,24 @@ def ask_agent_with_command(
         username=DEFAULT_USERNAME,
         stream: bool = False,
         timeout=DEFAULT_AGENT_CHAT_TIMEOUT,
+        *,
+        model: str = "",
     ):
-        """根据快捷指令询问agent"""
+        """根据快捷指令询问agent
+
+        与 ask_agent_with_content 的差别在于提问内容不由调用方直接给出，而是把 command_params
+        填入指令注册时声明的模板渲染得到；目标智能体也由指令自身声明，无需调用方指定。
+        每次调用都会新建临时会话，不支持多轮。
+
+        :param command: 快捷指令 code，须已注册到 CommandProcessor
+        :param command_params: 指令模板的填充参数，key 为模板变量名
+        :param username: 调用者用户名
+        :param stream: 是否流式返回
+        :param timeout: 单次对话的超时时间（秒）
+        :param model: 指定本次对话使用的 LLM，为空时使用智能体发布时配置的模型
+        :return: 非流式返回 AI 回复正文字符串；流式返回 StreamingHttpResponse
+        :raises ValueError: 指令未注册到 CommandProcessor
+        """
         if command not in CommandProcessor._handlers:
             raise ValueError(f"Command {command} not found")
         command_handler = CommandProcessor._handlers[command]
@@ -193,6 +274,7 @@ def ask_agent_with_command(
             stream=stream,
             timeout=timeout,
             username=username,
+            model=model,
         )
 
         if stream and not isinstance(ai_response, dict):
@@ -202,6 +284,13 @@ def ask_agent_with_command(
 
     @staticmethod
     def streaming_response(generator):
+        """将 agent 的流式输出包装为 SSE 响应
+
+        关闭客户端缓存与 nginx 缓冲，避免 AI 回复被攒到最后一次性吐出。
+
+        :param generator: agent 执行产生的事件生成器
+        :return: content-type 为 text/event-stream 的流式响应
+        """
         sr = StreamingHttpResponse(generator)
         sr.headers["Cache-Control"] = "no-cache"
         sr.headers["X-Accel-Buffering"] = "no"
@@ -215,6 +304,8 @@ def compare_risk_reports(
         current_report: str,
         username=DEFAULT_USERNAME,
         agent_code: DBMAgentCode = DBMAgentCode.TASK_GUARDIAN,
+        *,
+        model: str = "",
     ) -> dict:
         """
         调用智能体比对两份风险报告是否描述同一风险问题
@@ -228,6 +319,7 @@ def compare_risk_reports(
             current_report: 本次的风险报告内容
             username: 调用智能体的用户名
             agent_code: 智能体代码，默认使用通用单据值守智能体，可传入对应DB组件的单据值守智能体
+            model: 指定本次对话使用的 LLM，为空时使用智能体发布时配置的模型
 
         Returns:
             dict: {"is_same_risk": bool, "reason": str}
@@ -244,6 +336,7 @@ def compare_risk_reports(
                 agent_code=agent_code,
                 content=compare_prompt,
                 username=username,
+                model=model,
             )
             # 从返回中提取 JSON
             json_match = re.search(r'\{.*?"is_same_risk".*?}', ai_response, re.DOTALL)
diff --git a/dbm-ui/backend/dbm_aiagent/agent/urls.py b/dbm-ui/backend/dbm_aiagent/agent/urls.py
index 1a7bfbce3dc..a8dad068c9c 100644
--- a/dbm-ui/backend/dbm_aiagent/agent/urls.py
+++ b/dbm-ui/backend/dbm_aiagent/agent/urls.py
@@ -19,6 +19,7 @@
     AIChatSessionContentViewSet,
     AIChatSessionShareView,
     AIChatSessionViewSet,
+    AILLMViewSet,
 )
 from .services.log_analysis.views import AILogAnalysisViewSet
 
@@ -32,6 +33,8 @@
 router.register("session_feedback", AIChatSessionContentFeedbackViewSet, "chat_session_feedback")
 router.register("chat_group", AIChatGroupViewSet, "chat_group")
 router.register("share", AIChatSessionShareView, "share")
+router.register("llms", AILLMViewSet, "llms")
+
 
 # 日志分析
 router.register("log", AILogAnalysisViewSet, "log_analysis")
diff --git a/dbm-ui/backend/env/__init__.py b/dbm-ui/backend/env/__init__.py
index 1ecb79aa1c5..dead49b6760 100644
--- a/dbm-ui/backend/env/__init__.py
+++ b/dbm-ui/backend/env/__init__.py
@@ -33,6 +33,8 @@
 REDIS_PORT = get_type_env(key="REDIS_PORT", _type=int, default=6379)
 REDIS_PASSWORD = get_type_env(key="REDIS_PASSWORD", _type=str, default="")
 REDIS_URL = f"redis://{f':{REDIS_PASSWORD}@' if REDIS_PASSWORD else ''}{REDIS_HOST}:{REDIS_PORT}/1"
+# aidev redis缓存配置
+MESSAGE_REDIS_URL = get_type_env(key="MESSAGE_REDIS_URL", _type=str, default=REDIS_URL)
 
 # Redis 开发最佳实践文档地址(内网iwiki),开源环境默认留空,内网环境通过环境变量 REDIS_DEV_BEST_PRACTICE_URL 配置
 REDIS_DEV_BEST_PRACTICE_URL = get_type_env(key="REDIS_DEV_BEST_PRACTICE_URL", _type=str, default="")
diff --git a/dbm-ui/backend/ticket/builders/__init__.py b/dbm-ui/backend/ticket/builders/__init__.py
index 6272e154630..08c5448c675 100644
--- a/dbm-ui/backend/ticket/builders/__init__.py
+++ b/dbm-ui/backend/ticket/builders/__init__.py
@@ -26,8 +26,6 @@
 from backend.db_meta.enums import MachineType, TenDBClusterSpiderRole
 from backend.db_meta.models import AppCache, Cluster, Machine, ProxyInstance, StorageInstance
 from backend.db_services.dbbase.constants import IpSource
-from backend.dbm_aiagent.agent.constants import DBMAgentCode
-from backend.dbm_aiagent.agent.handlers import AgentHandler
 from backend.iam_app.dataclass.actions import ActionEnum
 from backend.ticket.constants import TICKET_EXPIRE_DEFAULT_CONFIG, FlowRetryType, FlowType, TicketType
 from backend.ticket.exceptions import TicketResourceApplyException
@@ -533,6 +531,9 @@ def ai_summary_details(cls, ticket: Ticket) -> Union[str, Dict]:
         if not env.ENABLE_DBM_AI:
             return ticket.details
         try:
+            from backend.dbm_aiagent.agent.constants import DBMAgentCode
+            from backend.dbm_aiagent.agent.handlers import AgentHandler
+
             return AgentHandler.ask_agent_with_content(
                 agent_code=DBMAgentCode.LOG_ANALYSIS,
                 content=str(_("{} 总结需求摘要").format(ticket.details)),
diff --git a/dbm-ui/config/default.py b/dbm-ui/config/default.py
index ec5c0cc5845..5a4f4602712 100644
--- a/dbm-ui/config/default.py
+++ b/dbm-ui/config/default.py
@@ -164,9 +164,8 @@
         "backend.dbm_aiagent.apps.SafeAidevBkpluginConfig",
         "backend.dbm_aiagent.apps.DbmAiagentConfig",
     )
-    # 这两张表由 SDK 侧负责创建，dbm 不接管其 schema，故置空跳过该 app 的迁移。
-    # 注：checkpoint 表的联合唯一索引在 utf8mb4 下，超过 InnoDB 单索引 3072 字节上限会导致迁移失败
-    MIGRATION_MODULES = {"aidev_bkplugin": None}
+    # checkpoint / write 两张表的 schema 由 SDK 侧的 migration 维护，dbm 不生成也不修改其迁移文件。
+    # MIGRATION_MODULES = {"aidev_bkplugin": None}
 
 # 中间件
 MIDDLEWARE = (
diff --git a/dbm-ui/poetry.lock b/dbm-ui/poetry.lock
index 59909178618..5202a2cb7aa 100644
--- a/dbm-ui/poetry.lock
+++ b/dbm-ui/poetry.lock
@@ -16,13 +16,13 @@ pydantic = ">=2.11.2"
 
 [[package]]
 name = "aidev-agent"
-version = "2.1.0rc85"
+version = "2.2.2rc28"
 description = "bkaidev agent builder"
 optional = false
 python-versions = "<3.12,>=3.11"
 files = [
-    {file = "aidev_agent-2.1.0rc85-py3-none-any.whl", hash = "sha256:4496353a245b62a550a462b54b41c6b6e6d84849f87c48419c7d8d844df2d6ab"},
-    {file = "aidev_agent-2.1.0rc85.tar.gz", hash = "sha256:1c27e6f3ddbe79590f5ce5b1660a44a010e765a148313901016307af9ee046ae"},
+    {file = "aidev_agent-2.2.2rc28-py3-none-any.whl", hash = "sha256:c98aaff8c7f62d524c663b9fdd58a374d68b51caa2da8a4833f8bb6e8a2c8918"},
+    {file = "aidev_agent-2.2.2rc28.tar.gz", hash = "sha256:862a0c6b3bca9da3fb05e11a990483d542123b0abfb9941bef454a2fefe69b36"},
 ]
 
 [package.dependencies]
@@ -47,30 +47,37 @@ mcp = "1.25.0"
 pika = ">=1.3.0"
 pyro4 = ">=4.82,<5.0"
 pytz = ">=2025.2,<2026.0"
+redis = ">=5.3.1,<6.0.0"
+requests = ">=2.28.0"
+rstream = ">=0.40.1,<1.0.0"
 typing-extensions = ">=4.0.0"
 urllib3 = ">=2.6.3"
 werkzeug = ">=3.1.3,<4.0.0"
 wrapt = ">1,<2"
 
 [package.extras]
+a2a = ["a2a-sdk (>=1.1.0)", "agent-client-protocol (>=0.10.1)"]
 opentelemetry = ["opentelemetry-api (==1.33.1)", "opentelemetry-exporter-otlp (==1.33.1)", "opentelemetry-exporter-otlp-proto-common (==1.33.1)", "opentelemetry-exporter-otlp-proto-grpc (==1.33.1)", "opentelemetry-exporter-otlp-proto-http (==1.33.1)", "opentelemetry-instrumentation (==0.54b1)", "opentelemetry-instrumentation-httpx (==0.54b1)", "opentelemetry-instrumentation-langchain (==0.38.10)", "opentelemetry-instrumentation-threading (==0.54b1)", "opentelemetry-sdk (==1.33.1)", "opentelemetry-semantic-conventions (==0.54b1)", "opentelemetry-semantic-conventions-ai (==0.4.3)"]
 
 [[package]]
 name = "aidev-bkplugin"
-version = "2.1.0rc85"
+version = "2.2.2rc28"
 description = "AiDev Agent Bkplugin builtin functions"
 optional = false
 python-versions = "<3.12,>=3.11"
 files = [
-    {file = "aidev_bkplugin-2.1.0rc85-py3-none-any.whl", hash = "sha256:4ac47b7bee7f2e7ecc83f97ba4355dba76d468673c6b73c1930638f5f4fa67f1"},
-    {file = "aidev_bkplugin-2.1.0rc85.tar.gz", hash = "sha256:a008795e4b7e81b6b67dbda63c7644ca24399cd7161e97149e78c3d470b3a13f"},
+    {file = "aidev_bkplugin-2.2.2rc28-py3-none-any.whl", hash = "sha256:8c9440ecb518300b5e22965a741d50b2d1cc87c364f029788c10aa84143ff380"},
+    {file = "aidev_bkplugin-2.2.2rc28.tar.gz", hash = "sha256:ed8d99de91b07fbda8b40759a4737cce3862248f618cb70b188abc31bd80a3d1"},
 ]
 
 [package.dependencies]
-aidev-agent = ">=2.1.0rc85"
+aidev-agent = ">=2.2.2rc28"
 blueapps = ">=4.15.1,<5.0"
 django = ">=4.2.28,<5.0"
 
+[package.extras]
+opentelemetry = ["aidev-agent[opentelemetry] (>=2.2.2rc17)"]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -3259,6 +3266,130 @@ files = [
     {file = "mistune-0.8.4.tar.gz", hash = "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e"},
 ]
 
+[[package]]
+name = "mmh3"
+version = "5.2.1"
+description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
+optional = false
+python-versions = ">=3.10"
+files = [
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+    {file = "mmh3-5.2.1.tar.gz", hash = "sha256:bbea5b775f0ac84945191fb83f845a6fd9a21a03ea7f2e187defac7e401616ad"},
+]
+
+[package.extras]
+benchmark = ["pymmh3 (==0.0.5)", "pyperf (==2.10.0)", "xxhash (==3.6.0)"]
+docs = ["myst-parser (==5.0.0)", "shibuya (==2026.1.9)", "sphinx (==8.2.3)", "sphinx-copybutton (==0.5.2)"]
+lint = ["actionlint-py (==1.7.11.24)", "clang-format (==22.1.0)", "codespell (==2.4.1)", "pylint (==4.0.5)", "ruff (==0.15.4)"]
+plot = ["matplotlib (==3.10.8)", "pandas (==3.0.1)"]
+test = ["pytest (==9.0.2)", "pytest-sugar (==1.1.1)"]
+type = ["mypy (==1.19.1)"]
+
 [[package]]
 name = "mock"
 version = "3.0.5"
@@ -5667,6 +5798,21 @@ files = [
     {file = "rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84"},
 ]
 
+[[package]]
+name = "rstream"
+version = "0.40.1"
+description = "A python client for RabbitMQ Streams"
+optional = false
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "rstream-0.40.1-py3-none-any.whl", hash = "sha256:7e7d0ea9070b152ad0e4cfb2f55c471ea5c7812ab9f5c2f28d94c6283a4570cc"},
+    {file = "rstream-0.40.1.tar.gz", hash = "sha256:33015d543b2598837933e0959265a98d8ce0a41ef8906a9c7b62d1a526d5f993"},
+]
+
+[package.dependencies]
+mmh3 = ">=5.2.0,<6.0.0"
+typing_extensions = ">=4.15.0,<5.0.0"
+
 [[package]]
 name = "s3transfer"
 version = "0.14.0"
@@ -7189,4 +7335,4 @@ cffi = ["cffi (>=1.17,<2.0)", "cffi (>=2.0.0b)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11.10,<3.12"
-content-hash = "0c82a6bcba3c408669dbdd561114d18193a15552dcc9fdf59b318ee8564f2c4f"
+content-hash = "38b9e03789859280e0ca584d3908ed82a74bd680c4e03a59bb507458719f3ecd"
diff --git a/dbm-ui/pyproject.toml b/dbm-ui/pyproject.toml
index 0f5783677c1..2c4a182ad5c 100644
--- a/dbm-ui/pyproject.toml
+++ b/dbm-ui/pyproject.toml
@@ -77,8 +77,8 @@ django-stubs-ext = "^5.2.7"
 bk-monitor-report = "^1.2.2"
 jsonref = "^1.1.0"
 networkx = "^3.6.1"
-aidev-agent = "2.1.0rc85"
-aidev-bkplugin = "2.1.0rc85"
+aidev-agent = "2.2.2rc28"
+aidev-bkplugin = "2.2.2rc28"
 langchain-mcp-adapters = "0.1.12"
 deprecated = "1.3.1"
 openai = "2.7.1"