feat:新增投顾agent和nl2sqlagent

scripts/check_advisor_llm.py

@@ -0,0 +1,35 @@
+"""Read-only smoke check for the configured LLM chat and embedding endpoints."""
+from __future__ import annotations
+
+import asyncio
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+from tool.llm import llm
+
+
+async def check() -> None:
+    try:
+        answer = await llm.chat(
+            [
+                {"role": "system", "content": "你是一个合规的基金投顾助手。"},
+                {"role": "user", "content": "只回复：连接正常"},
+            ],
+            temperature=0,
+            max_tokens=16,
+        )
+        print("chat: ok", answer[:32])
+    except Exception as exc:
+        print(f"chat: {type(exc).__name__}: {exc}")
+
+    try:
+        vectors = await llm.embed(["投顾记忆联调"])
+        print("embedding: ok", len(vectors), len(vectors[0]) if vectors else 0)
+    except Exception as exc:
+        print(f"embedding: {type(exc).__name__}: {exc}")
+
+
+if __name__ == "__main__":
+    asyncio.run(check())