docs: 品牌全量口径统一为「南方基金」+ 作废文档清理

1) 客服 Agent 四份交付文档 + 构建脚手架：品牌由包装占位 XX科技 / 旧名 南方财富
   统一为南方基金（热线 400-889-8899 / 官网 nffund.com），系统名改为「智能服务系统」；
   同步追加 §0.4 修订记录行，工程记录行保留原占位字面以支撑硬编码扫描验收。
2) 开发文档：清理 28 份已作废/残留文档（14 份移出归档 + 14 份仓库副本），
   新增《文档规整方案与开发前待决事项-2026-09-17》。
3) 客服agent 四份交付文档首次纳入本分支。

tools/performance_baseline.py

@@ -0,0 +1,48 @@
+"""Repeatable local baseline for the in-process governance path."""
+import asyncio
+import statistics
+import time
+from dataclasses import dataclass, asdict
+
+from app.core.contracts import AgentDefinition, AgentRequest, CoreResult, RequestContext
+from app.service.agent.base import BaseAgent
+
+
+class BenchmarkAgent(BaseAgent):
+    async def handle(self, request: AgentRequest, context: RequestContext) -> CoreResult:
+        del context
+        return CoreResult(text=request.message)
+
+
+@dataclass(frozen=True)
+class Baseline:
+    iterations: int
+    p50_ms: float
+    p95_ms: float
+    max_ms: float
+
+
+async def run(iterations: int = 200) -> Baseline:
+    agent = BenchmarkAgent(AgentDefinition(agent_type="benchmark", version="1"))
+    request = AgentRequest(
+        agent_type="benchmark", message="ping", session_id="benchmark",
+        idempotency_key="benchmark-key-0001",
+    )
+    context = RequestContext(user_id="1", trace_id="benchmark")
+    samples: list[float] = []
+    for index in range(iterations):
+        started = time.perf_counter()
+        async for _ in agent.execute(request, context, f"run-{index}"):
+            pass
+        samples.append((time.perf_counter() - started) * 1000)
+    ordered = sorted(samples)
+    return Baseline(
+        iterations=iterations,
+        p50_ms=statistics.median(ordered),
+        p95_ms=ordered[min(len(ordered) - 1, int(len(ordered) * 0.95))],
+        max_ms=max(ordered),
+    )
+
+
+if __name__ == "__main__":
+    print(asdict(asyncio.run(run())))