```

refactor(core,ai): 调整模块导入路径并移除废弃文件

- 修复 scheduler.py 中的导入路径错误，将 reports.service
  改为 reports.services
- 移除废弃的 app/core/background/task_queue.py 文件
- 移除废弃的 app/modules/ai_agent/adapters.py 文件
- 修复 ai_memory/service.py 中的导入路径错误，将
  events.service 改为 events.services
```

app/modules/ai_agent/adapters/direct_llm.py

@@ -0,0 +1,69 @@
+from typing import Any
+
+from fastapi import HTTPException, status
+
+from app.core.config import Settings
+from app.modules.ai_agent.adapters import httpx
+from app.modules.ai_agent.adapters.base import AIAdapter
+from app.modules.ai_agent.adapters.common import (
+    _chat_completion_payload,
+    _chat_messages,
+)
+from app.modules.ai_agent.constants import (
+    AUTHORIZATION_BEARER_TEMPLATE,
+    DIRECT_LLM_API_KEY_MISSING,
+    UNEXPECTED_HERMES_RESPONSE,
+    AIErrorKey,
+    AIHttpHeader,
+    AIHttpPath,
+    AIHttpPayloadKey,
+    AIProviderName,
+    AIResponseKey,
+)
+
+
+class DirectLLMAdapter(AIAdapter):
+    """Adapter for OpenAI-compatible chat completions APIs."""
+
+    provider_name = AIProviderName.DIRECT_LLM
+
+    def __init__(self, settings: Settings):
+        self.settings = settings
+
+    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
+        if not self.settings.direct_llm_api_key:
+            raise HTTPException(
+                status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+                detail=DIRECT_LLM_API_KEY_MISSING,
+            )
+        url = f"{self.settings.direct_llm_base_url.rstrip('/')}{AIHttpPath.CHAT_COMPLETIONS}"
+        headers = {
+            AIHttpHeader.AUTHORIZATION: AUTHORIZATION_BEARER_TEMPLATE.format(
+                token=self.settings.direct_llm_api_key
+            )
+        }
+        payload = {
+            AIHttpPayloadKey.MODEL: self.settings.direct_llm_model,
+            AIHttpPayloadKey.MESSAGES: _chat_messages(prompt, context),
+        }
+        with httpx.Client(timeout=60, trust_env=False) as client:
+            response = client.post(url, json=payload, headers=headers)
+        if response.status_code >= status.HTTP_400_BAD_REQUEST:
+            raise HTTPException(
+                status_code=status.HTTP_502_BAD_GATEWAY,
+                detail={AIErrorKey.DIRECT_LLM: response.text},
+            )
+        data = _chat_completion_payload(response, AIErrorKey.DIRECT_LLM)
+        try:
+            answer = data[AIHttpPayloadKey.CHOICES][0][AIHttpPayloadKey.MESSAGE][
+                AIHttpPayloadKey.CONTENT
+            ]
+        except (KeyError, IndexError, TypeError) as exc:
+            raise HTTPException(
+                status_code=status.HTTP_502_BAD_GATEWAY,
+                detail={
+                    AIErrorKey.DIRECT_LLM: UNEXPECTED_HERMES_RESPONSE,
+                    AIResponseKey.RAW: data,
+                },
+            ) from exc
+        return {AIResponseKey.ANSWER: answer, AIResponseKey.RAW: data}