Fix supervisor AI empty replies with fallback templates

Skip appending AI error strings to the session and use event-specific fallback commentary when the model returns empty content.

Co-authored-by: Cursor <cursoragent@cursor.com>

manual_trading_hub/hub_ai/supervisor.py

@@ -1,15 +1,23 @@
 """交易监管：AI 评语与用户回聊。"""
 from __future__ import annotations
 
+import sys
+from pathlib import Path
 from typing import Any, Optional
 
+_REPO_ROOT = Path(__file__).resolve().parents[2]
+if str(_REPO_ROOT) not in sys.path:
+    sys.path.insert(0, str(_REPO_ROOT))
+
+from ai_client import ai_generate  # noqa: E402
+
 from hub_ai.client import generate_text, model_label
 from hub_ai.config import (
     CHAT_MAX_OUTPUT_TOKENS,
     CHAT_TEMPERATURE,
     trading_day_reset_hour,
 )
-from hub_ai.context import build_chat_context, format_chat_context_for_chat
+from hub_ai.context import build_chat_context, format_chat_context_for_chat, format_chat_position_overview
 from hub_ai.prompts import SUPERVISOR_SYSTEM, build_supervisor_ai_prompt, build_supervisor_chat_prompt
 from hub_ai.supervisor_store import (
     append_supervisor_ai_message,
@@ -17,8 +25,12 @@ from hub_ai.supervisor_store import (
     get_supervisor_session_state,
 )
 from hub_ai.store import append_chat_message
+from hub_ai.text_util import is_ai_error_reply
+from hub_supervisor_lib import build_supervisor_fallback_reply
 from hub_trades_lib import current_trading_day
 
+SUPERVISOR_AI_MAX_TOKENS = 320
+
 
 def generate_supervisor_ai_reply(
     *,
@@ -29,20 +41,21 @@ def generate_supervisor_ai_reply(
     exchanges: list[dict],
 ) -> str:
     ctx = build_chat_context(exchanges, trading_day=trading_day)
-    brief = format_chat_context_for_chat(ctx, max_chars=6000)
+    brief = format_chat_position_overview(ctx) + "\n" + format_chat_context_for_chat(
+        ctx, max_chars=2400
+    )
     user_prompt = build_supervisor_ai_prompt(
         context_text=brief,
         trading_day=trading_day,
         event=event,
         warnings=warnings,
     )
-    return generate_text(
-        system=SUPERVISOR_SYSTEM,
-        user=user_prompt,
-        temperature=min(0.35, CHAT_TEMPERATURE),
-        max_tokens=min(512, CHAT_MAX_OUTPUT_TOKENS),
-        max_continuations=1,
-    )
+    prompt = f"{SUPERVISOR_SYSTEM.strip()}\n\n---\n\n{user_prompt.strip()}"
+    text = ai_generate(prompt, temperature=0.35, max_tokens=SUPERVISOR_AI_MAX_TOKENS)
+    text = str(text or "").strip()
+    if not text or is_ai_error_reply(text):
+        return build_supervisor_fallback_reply(event, warnings)
+    return text
 
 
 def make_supervisor_ai_reply_fn(exchanges: list[dict]):
@@ -95,16 +108,17 @@ def send_supervisor_chat(
         max_tokens=min(768, CHAT_MAX_OUTPUT_TOKENS),
         max_continuations=1,
     )
-    if not reply or reply.strip().startswith("AI "):
-        return {"ok": False, "msg": reply or "AI 生成失败", "session_id": sid}
+    reply = str(reply or "").strip()
+    if not reply or is_ai_error_reply(reply):
+        return {"ok": False, "msg": "AI 暂时不可用，请稍后再试", "session_id": sid}
     append_chat_message(sid, "user", text)
-    session = append_supervisor_ai_message(sid, reply.strip())
+    session = append_supervisor_ai_message(sid, reply)
     state = get_supervisor_session_state(day)
     return {
         "ok": True,
         "trading_day": day,
         "session": session,
-        "reply": reply.strip(),
+        "reply": reply,
         "model": model_label(),
         "message_count": state.get("message_count"),
         "unread_system": state.get("unread_system"),