refactor: 移除 LiteLLM proxy 架构，后端直连 Provider API

- 移除 backend/scripts/build_litellm_proxy_config.py
- 简化 LiteLLMService，移除 run_completion_with_cost 方法
- AgentScopeRunner 改为从 LlmFactory 获取 api_base 和 api_key
- 部署配置移除 litellm/litellm-config-job 服务
- Flutter 新增 AuthBootScreen 引导页
- Android 添加通知权限 (POST_NOTIFICATIONS, RECEIVE_BOOT_COMPLETED, SCHEDULE_EXACT_ALARM)
- 优化 LocalNotificationService 调度失败 fallback
- 更新 manifest.json (version 3)

backend/tests/unit/core/agentscope/runtime/test_runner.py

@@ -133,6 +133,8 @@ async def test_execute_uses_router_ui_mode_to_select_worker_output_model(
             model_code="qwen3.5-flash"
             if kwargs["agent_type"] == AgentType.ROUTER
             else "deepseek-chat",
+            api_base_url="https://example.com/v1",
+            api_key="sk-test",
             llm_config=SystemAgentLLMConfig(
                 temperature=0.1, max_tokens=256, timeout_seconds=30
             ),
@@ -233,6 +235,8 @@ async def test_execute_passes_runtime_client_time_to_router_and_worker(
         return SystemAgentRuntimeConfig(
             agent_type=kwargs["agent_type"],
             model_code="model-a",
+            api_base_url="https://example.com/v1",
+            api_key="sk-test",
             llm_config=SystemAgentLLMConfig(
                 temperature=0.1, max_tokens=256, timeout_seconds=30
             ),
@@ -296,3 +300,29 @@ async def test_execute_passes_runtime_client_time_to_router_and_worker(
 
     assert captured["router_timezone"] == "America/Los_Angeles"
     assert captured["worker_timezone"] == "America/Los_Angeles"
+
+
+def test_resolve_provider_api_key_maps_volcengine_to_ark(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    monkeypatch.setattr(
+        "core.agentscope.runtime.runner.config.llm.provider_keys",
+        {"ARK": "ark-key", "DASHSCOPE": "dash-key"},
+    )
+
+    assert (
+        AgentScopeRunner._resolve_provider_api_key(factory_name="volcengine")
+        == "ark-key"
+    )
+
+
+def test_resolve_provider_api_key_raises_when_missing(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    monkeypatch.setattr(
+        "core.agentscope.runtime.runner.config.llm.provider_keys",
+        {"DASHSCOPE": "dash-key"},
+    )
+
+    with pytest.raises(RuntimeError, match="provider api key missing"):
+        AgentScopeRunner._resolve_provider_api_key(factory_name="deepseek")

backend/tests/unit/services/test_litellm_service.py

@@ -31,37 +31,6 @@ def test_calculate_cost_uses_second_qwen_tier() -> None:
     assert cost == pytest.approx(0.1856)
 
 
-def test_run_completion_extracts_usage_and_cost() -> None:
-    service = LiteLLMService()
-    captured: dict[str, object] = {}
-
-    def _fake_completion(**kwargs: object) -> dict[str, object]:
-        captured.update(kwargs)
-        return {
-            "model": "dashscope/qwen3.5-flash",
-            "usage": {
-                "prompt_tokens": 2000,
-                "completion_tokens": 100,
-                "total_tokens": 2100,
-                "prompt_tokens_details": {"cached_tokens": 500},
-            },
-            "choices": [{"message": {"content": "ok"}}],
-        }
-
-    result = service.run_completion_with_cost(
-        model="dashscope/qwen3.5-flash",
-        messages=[{"role": "user", "content": "hello"}],
-        response_format={"type": "json_object"},
-        completion_fn=_fake_completion,
-    )
-
-    assert result.usage.prompt_tokens == 2000
-    assert result.usage.completion_tokens == 100
-    assert result.usage.total_tokens == 2100
-    assert result.usage.cost == pytest.approx(0.00051)
-    assert captured["response_format"] == {"type": "json_object"}
-
-
 def test_build_usage_metadata_calculates_cost_from_usage_summary() -> None:
     service = LiteLLMService()