refactor: reorganize backend module boundaries

app/agent/middleware/activity_log.py

@@ -35,7 +35,7 @@ from pydantic import BaseModel, Field
 from app.agent.middleware.utils import append_to_system_message
 from app.agent.policy import sanitize_for_host, summarize_error, summarize_result
 from app.agent.tools.tags import ToolTag
-from app.platform.log import logger
+from app.runtime.log import logger
 
 # 活动日志保留天数
 DEFAULT_RETENTION_DAYS = 7

app/agent/middleware/jobs.py

@@ -17,7 +17,7 @@ from langchain_core.runnables import RunnableConfig
 from langgraph.runtime import Runtime
 
 from app.agent.middleware.utils import append_to_system_message
-from app.platform.log import logger
+from app.runtime.log import logger
 
 # JOB.md 文件最大限制为 1MB
 MAX_JOB_FILE_SIZE = 1 * 1024 * 1024

app/agent/middleware/memory.py

@@ -15,7 +15,7 @@ from langchain_core.runnables import RunnableConfig
 from langgraph.runtime import Runtime
 
 from app.agent.middleware.utils import append_to_system_message
-from app.platform.log import logger
+from app.runtime.log import logger
 
 # 记忆文件最大限制为 100KB，防止单文件过大导致上下文溢出
 MAX_MEMORY_FILE_SIZE = 100 * 1024

app/agent/middleware/skills.py

@@ -31,7 +31,7 @@ from app.agent.skills.metadata import (
     SkillMetadata,
     parse_skill_metadata,
 )
-from app.platform.log import logger
+from app.runtime.log import logger
 
 # 模型返回上限独立于领域层的磁盘读取上限，避免异常内容撑爆上下文。
 MAX_SKILL_RESULT_CHARS = 64 * 1024

app/agent/middleware/subagents.py

@@ -37,7 +37,7 @@ from app.agent.policy import (
 from app.agent.runtime import SubAgentDefinition, agent_runtime_manager
 from app.agent.tools.tags import ToolTag
 from app.agent.tools.catalog import ToolCatalogSnapshot
-from app.platform.log import logger
+from app.runtime.log import logger
 
 
 SUBAGENT_TASK_TOOL_NAME = "task"

app/agent/middleware/summarization.py

@@ -17,7 +17,7 @@ from langgraph.graph.message import REMOVE_ALL_MESSAGES
 from langgraph.types import Command
 
 from app.agent.middleware.usage import UsageMiddleware
-from app.platform.log import logger
+from app.runtime.log import logger
 
 try:
     _internal_call_metadata = import_module(

app/agent/middleware/tool_selection.py

@@ -28,7 +28,7 @@ from typing_extensions import TypedDict  # noqa
 
 from app.agent.llm import LLMHelper
 from app.agent.tools.tags import ToolTag
-from app.platform.log import logger
+from app.runtime.log import logger
 
 MIN_SELECTED_TOOL_COUNT = 4
 RECENT_SELECTION_CONTEXT_MESSAGE_LIMIT = 6

app/agent/middleware/usage.py

@@ -11,7 +11,7 @@ from langchain.agents.middleware.types import (
 from langchain_core.messages import AIMessage
 from langchain_core.messages.utils import count_tokens_approximately
 
-from app.platform.log import logger
+from app.runtime.log import logger
 
 
 class UsageMiddleware(AgentMiddleware):