dekun/crypto_monitor
0
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat(hub): rolling chat summary to cap AI context and prevent mid-session failures

Browse Source 
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dekun
2026-06-11 21:51:34 +08:00
parent 180aff5310
commit 6a1f2608b5
9 changed files with 297 additions and 50 deletions
Download Patch File Download Diff File Expand all files Collapse all files
manual_trading_hub/hub_ai/archive_quote.py
+35 -10
View File
@@ -3,11 +3,24 @@ from __future__ import annotations
from typing import Any
from hub_ai.chat import _is_ai_error_reply
from hub_ai.client import generate_text, model_label
from hub_ai.config import CHAT_MAX_CONTINUATIONS, CHAT_MAX_OUTPUT_TOKENS, CHAT_TEMPERATURE
from hub_ai.rolling_summary import refresh_session_rolling_summary
from hub_ai.text_util import clip_text, is_ai_error_reply
from hub_ai.config import (
CHAT_MAX_CONTINUATIONS,
CHAT_MAX_OUTPUT_TOKENS,
CHAT_TEMPERATURE,
CHAT_USER_MESSAGE_MAX_CHARS,
)
from hub_ai.prompts import CHAT_SYSTEM, build_archive_quote_review_prompt
from hub_ai.store import CHAT_BOT_TRADING, append_chat_message, create_new_session, list_chat_sessions
from hub_ai.store import (
CHAT_BOT_TRADING,
append_chat_message,
create_new_session,
delete_chat_session,
get_active_session,
list_chat_sessions,
)
from hub_symbol_archive_lib import list_daily_trades
@@ -43,7 +56,10 @@ def format_archive_trades_for_ai(payload: dict[str, Any]) -> str:
if not trades:
lines.append("（该日无交易记录）")
return "\n".join(lines)
for i, t in enumerate(trades, 1):
max_rows = 50
if len(trades) > max_rows:
lines.append(f"（共 {len(trades)} 笔，以下展示最近 {max_rows} 笔）")
for i, t in enumerate(trades[:max_rows], 1):
ex = str(t.get("exchange_key") or t.get("account_exchange_key") or "—")
sym = str(t.get("symbol") or "—")
direction = str(t.get("direction") or "—")
@@ -54,7 +70,7 @@ def format_archive_trades_for_ai(payload: dict[str, Any]) -> str:
pnl = _fmt_pnl(t.get("pnl_amount"))
entry = str(t.get("entry_type") or t.get("entry_reason") or t.get("monitor_type") or "—")
tag = _tag_label(str(t.get("behavior_tag") or ""))
note = str(t.get("note") or "").strip()
note = clip_text(str(t.get("note") or "").strip(), 80)
line = (
f"{i}. {ex} | {sym} | {direction} | 开仓类型 {entry} | "
f"开 {opened} | 平 {closed} | 持仓 {hold} | 结果 {result} | "
@@ -87,13 +103,12 @@ def send_archive_quote_review(
archive_payload = list_daily_trades(trading_day=day, period="today")
archive_trades_text = format_archive_trades_for_ai(archive_payload)
append_chat_message(sid, "user", text)
user_for_prompt = clip_text(text, CHAT_USER_MESSAGE_MAX_CHARS)
user_prompt = build_archive_quote_review_prompt(
quote_date=day,
archive_trades_text=archive_trades_text,
user_message=text,
user_message=user_for_prompt,
)
reply = generate_text(
system=CHAT_SYSTEM,
@@ -102,10 +117,20 @@ def send_archive_quote_review(
max_tokens=CHAT_MAX_OUTPUT_TOKENS,
max_continuations=CHAT_MAX_CONTINUATIONS,
)
if _is_ai_error_reply(reply):
return {"ok": False, "msg": reply, "session_id": sid}
if is_ai_error_reply(reply):
delete_chat_session(sid)
return {"ok": False, "msg": reply}
append_chat_message(sid, "user", text)
session = append_chat_message(sid, "assistant", reply)
refresh_session_rolling_summary(
sid,
prior_summary="",
user_text=text,
assistant_text=reply,
bot_mode=CHAT_BOT_TRADING,
)
session = get_active_session() or session
return {
"ok": True,
"trading_day": day,
manual_trading_hub/hub_ai/chat.py
+91 -26
View File
@@ -7,22 +7,30 @@ from hub_ai.attachments import parse_chat_attachments
from hub_ai.client import generate_text, model_label
from hub_ai.config import (
CHAT_CONTEXT_MAX_CHARS,
CHAT_FOLLOWUP_CONTEXT_MAX_CHARS,
CHAT_HISTORY_MAX_CHARS_PER_MSG,
CHAT_MAX_CONTINUATIONS,
CHAT_MAX_HISTORY_TURNS,
CHAT_MAX_OUTPUT_TOKENS,
CHAT_PROMPT_MAX_CHARS,
CHAT_SUMMARY_EXCERPT_MAX_CHARS,
CHAT_TEMPERATURE,
CHAT_USER_MESSAGE_MAX_CHARS,
trading_day_reset_hour,
)
from hub_trades_lib import current_trading_day
from hub_ai.context import build_daily_context, format_chat_context_for_chat
from hub_ai.context import (
build_daily_context,
format_chat_context_for_chat,
format_chat_position_overview,
)
from hub_ai.prompts import (
CHAT_GENERAL_SYSTEM,
CHAT_SYSTEM,
build_chat_user_prompt,
build_general_chat_user_prompt,
)
from hub_ai.rolling_summary import refresh_session_rolling_summary
from hub_ai.store import (
CHAT_BOT_GENERAL,
CHAT_BOT_TRADING,
@@ -36,18 +44,23 @@ from hub_ai.store import (
set_active_session,
summary_excerpt_for_chat,
)
from hub_ai.text_util import clip_text, is_ai_error_reply
def _is_ai_error_reply(text: str) -> bool:
t = (text or "").strip()
return t.startswith("AI 调用失败") or t.startswith("AI 生成失败")
return is_ai_error_reply(text)
def _clip_text(text: str, max_chars: int) -> str:
return clip_text(text, max_chars)
def _history_lines(
messages: list[dict],
max_turns: int = CHAT_MAX_HISTORY_TURNS,
*,
max_chars_per_msg: int = 1500,
max_chars_per_msg: int = CHAT_HISTORY_MAX_CHARS_PER_MSG,
total_max_chars: int | None = None,
) -> str:
rows = [m for m in (messages or []) if m.get("role") in ("user", "assistant")]
rows = rows[-max_turns * 2 :]
@@ -61,17 +74,60 @@ def _history_lines(
if att:
names = "、".join(str(a.get("name") or "附件") for a in att[:3])
content = f"{content} [附件: {names}]".strip()
if len(content) > max_chars_per_msg:
content = content[: max_chars_per_msg - 1].rstrip() + "…"
lines.append(f"{role}：{content}")
content = _clip_text(content, max_chars_per_msg)
if content:
lines.append(f"{role}：{content}")
if total_max_chars and total_max_chars > 0:
while lines and len("\n".join(lines)) > total_max_chars:
lines.pop(0)
return "\n".join(lines)
def _trading_context_bundle(ctx: dict[str, Any], *, prior_count: int) -> tuple[str, str]:
day = str(ctx.get("trading_day") or (ctx.get("totals") or {}).get("trading_day") or "")
if prior_count <= 0:
brief = format_chat_context_for_chat(ctx, max_chars=CHAT_CONTEXT_MAX_CHARS)
excerpt = summary_excerpt_for_chat(day, max_chars=CHAT_SUMMARY_EXCERPT_MAX_CHARS)
return brief, excerpt
totals = ctx.get("totals") or {}
overview = format_chat_position_overview(ctx)
slim = (
f"【续聊快照 {day}】平仓盈亏 {totals.get('total_pnl_u')}U | "
f"笔数 {totals.get('closed_count')} | "
f"持仓 {totals.get('open_position_count', 0)} 仓 | "
f"浮盈亏 {totals.get('float_pnl_u')}U"
)
brief = _clip_text(overview + "\n" + slim, CHAT_FOLLOWUP_CONTEXT_MAX_CHARS)
return brief, ""
def _history_budget(*sizes: int) -> int:
used = sum(int(s or 0) for s in sizes) + 2200
return max(1200, CHAT_PROMPT_MAX_CHARS - used)
def _prompt_memory(session: dict, prior_msgs: list[dict]) -> tuple[str, str]:
"""续聊优先用滚动摘要；旧会话无摘要时仅带最近 1 轮兜底。"""
rolling = str(session.get("rolling_summary") or "").strip()
if rolling:
return rolling, ""
prior_count = len([m for m in prior_msgs if m.get("role") in ("user", "assistant")])
if prior_count <= 0:
return "", ""
tail = _history_lines(
prior_msgs,
max_turns=1,
max_chars_per_msg=CHAT_HISTORY_MAX_CHARS_PER_MSG,
)
return "", tail
def get_chat_state() -> dict[str, Any]:
store = load_chat_store()
session = get_active_session()
if session:
session.setdefault("bot_mode", CHAT_BOT_TRADING)
session.setdefault("rolling_summary", "")
return {
"active_session_id": store.get("active_session_id"),
"session": session,
@@ -139,43 +195,38 @@ def send_chat_message(
)
session = ensure_active_session(trading_day=day)
sid = session["id"]
history = _history_lines(
session.get("messages") or [],
max_chars_per_msg=CHAT_HISTORY_MAX_CHARS_PER_MSG,
)
append_chat_message(
sid,
"user",
user_visible,
attachments=parsed.get("attachment_meta") or [],
)
prior_rolling = str(session.get("rolling_summary") or "")
prior_msgs = session.get("messages") or []
prior_count = len([m for m in prior_msgs if m.get("role") in ("user", "assistant")])
user_for_prompt = _clip_text(text or user_visible, CHAT_USER_MESSAGE_MAX_CHARS)
rolling_summary, history_tail = _prompt_memory(session, prior_msgs)
bot_mode = (session.get("bot_mode") or CHAT_BOT_TRADING).strip().lower()
if bot_mode == CHAT_BOT_GENERAL:
user_prompt = build_general_chat_user_prompt(
history_lines=history,
user_message=text or user_visible,
rolling_summary=rolling_summary,
history_lines=history_tail,
user_message=user_for_prompt,
attachment_note=str(parsed.get("attachment_note") or ""),
)
if parsed.get("text_append"):
user_prompt += "\n\n【附件正文】\n" + parsed["text_append"]
user_prompt += "\n\n【附件正文】\n" + _clip_text(parsed["text_append"], 3000)
system_prompt = CHAT_GENERAL_SYSTEM
else:
ctx = build_daily_context(exchanges, trading_day=day)
day = ctx["trading_day"]
brief_ctx = format_chat_context_for_chat(ctx, max_chars=CHAT_CONTEXT_MAX_CHARS)
excerpt = summary_excerpt_for_chat(day, max_chars=CHAT_SUMMARY_EXCERPT_MAX_CHARS)
brief_ctx, excerpt = _trading_context_bundle(ctx, prior_count=prior_count)
user_prompt = build_chat_user_prompt(
context_text=brief_ctx,
trading_day=day,
summary_excerpt=excerpt,
history_lines=history,
user_message=text or user_visible,
rolling_summary=rolling_summary,
history_lines=history_tail,
user_message=user_for_prompt,
attachment_note=str(parsed.get("attachment_note") or ""),
)
if parsed.get("text_append"):
user_prompt += "\n\n【附件正文】\n" + parsed["text_append"]
user_prompt += "\n\n【附件正文】\n" + _clip_text(parsed["text_append"], 3000)
system_prompt = CHAT_SYSTEM
reply = generate_text(
@@ -189,7 +240,21 @@ def send_chat_message(
if _is_ai_error_reply(reply):
return {"ok": False, "msg": reply, "session_id": sid}
append_chat_message(
sid,
"user",
user_visible,
attachments=parsed.get("attachment_meta") or [],
)
session = append_chat_message(sid, "assistant", reply)
refresh_session_rolling_summary(
sid,
prior_summary=prior_rolling,
user_text=user_visible,
assistant_text=reply,
bot_mode=bot_mode,
)
session = get_active_session() or session
return {
"ok": True,
"trading_day": day,
manual_trading_hub/hub_ai/config.py
+10 -4
View File
@@ -15,12 +15,18 @@ def _int_env(key: str, default: int) -> int:
SUMMARY_TEMPERATURE = 0.15
CHAT_TEMPERATURE = 0.5
CHAT_MAX_HISTORY_TURNS = 40
CHAT_MAX_HISTORY_TURNS = _int_env("CHAT_MAX_HISTORY_TURNS", 16)
CHAT_MAX_OUTPUT_TOKENS = _int_env("CHAT_MAX_OUTPUT_TOKENS", 8192)
CHAT_MAX_CONTINUATIONS = _int_env("CHAT_MAX_CONTINUATIONS", 4)
CHAT_CONTEXT_MAX_CHARS = _int_env("CHAT_CONTEXT_MAX_CHARS", 20_000)
CHAT_SUMMARY_EXCERPT_MAX_CHARS = _int_env("CHAT_SUMMARY_EXCERPT_MAX_CHARS", 2000)
CHAT_HISTORY_MAX_CHARS_PER_MSG = _int_env("CHAT_HISTORY_MAX_CHARS_PER_MSG", 1500)
CHAT_CONTEXT_MAX_CHARS = _int_env("CHAT_CONTEXT_MAX_CHARS", 12_000)
CHAT_FOLLOWUP_CONTEXT_MAX_CHARS = _int_env("CHAT_FOLLOWUP_CONTEXT_MAX_CHARS", 4500)
CHAT_PROMPT_MAX_CHARS = _int_env("CHAT_PROMPT_MAX_CHARS", 28_000)
CHAT_USER_MESSAGE_MAX_CHARS = _int_env("CHAT_USER_MESSAGE_MAX_CHARS", 3500)
CHAT_SUMMARY_EXCERPT_MAX_CHARS = _int_env("CHAT_SUMMARY_EXCERPT_MAX_CHARS", 1200)
CHAT_HISTORY_MAX_CHARS_PER_MSG = _int_env("CHAT_HISTORY_MAX_CHARS_PER_MSG", 900)
CHAT_ROLLING_SUMMARY_MAX_CHARS = _int_env("CHAT_ROLLING_SUMMARY_MAX_CHARS", 900)
CHAT_ROLLING_SUMMARY_GEN_MAX_TOKENS = _int_env("CHAT_ROLLING_SUMMARY_GEN_MAX_TOKENS", 512)
CHAT_ROLLING_SUMMARY_TEMPERATURE = 0.2
SUMMARY_RETENTION_DAYS = 90
CHAT_SESSION_RETENTION_DAYS = 60
FUND_HISTORY_DAYS = 180
manual_trading_hub/hub_ai/prompts.py
+53 -9
View File
@@ -49,8 +49,8 @@ CHAT_SYSTEM = """
- 用户口述与快照冲突时，以快照为准并口语说明「我这边看到是空仓/有N仓」。
- 若附带「今日总结摘要」，那是较早生成的缓存，**实盘持仓以【当前多账户快照】里的「实盘持仓总览」为准**，摘要里若提到持仓可能已过时。
- 若用户上传图片，可结合图中可见信息讨论，看不清的明确说看不清。
- **优先接住【用户现在说】和【此前对话】**：用户聊心态、悔单、某笔操作时，先顺着这个话题回应，不要每句都复述账户资金数字。
- **接续对话**：有【此前对话】时须接着聊，不要重复开场白；整段回复必须写完，以句号/问号/感叹号收尾，不得停在半句话；编号列表每条单独一行。
- **优先接住【用户现在说】和【对话核心摘要】**：用户聊心态、悔单、某笔操作时，先顺着这个话题回应，不要每句都复述账户资金数字。
- **接续对话**：有【对话核心摘要】时须接着聊，不要重复开场白；整段回复必须写完，以句号/问号/感叹号收尾，不得停在半句话；编号列表每条单独一行。
- 快照里的盈亏/资金仅在需要核对事实时引用；用户口述与快照冲突时，以快照为准并口语说明。
""".strip()
@@ -73,19 +73,60 @@ CHAT_GENERAL_SYSTEM = """
- 用户未主动聊交易时，不要主动扯合约、仓位、盈亏、盯盘。
- 你没有接入用户的交易账户数据；不要编造持仓、资金或监控状态。若被问到交易事实，说明这边看不到实盘，建议去中控监控区或实例页查看。
- 若用户上传图片或文档，结合可见内容回应；看不清的直说。
- 接续【此前对话】，不要重复开场白；回复须写完整，以句号/问号/感叹号收尾。
- 接续【对话核心摘要】，不要重复开场白；回复须写完整，以句号/问号/感叹号收尾。
""".strip()
ROLLING_SUMMARY_TRADING_SYSTEM = """
你是交易教练的对话记录员。把「此前摘要」与「本轮用户+教练回复」压成一条极短中文摘要。
要求：
- 120~280 字，纯文本一段，不要标题、不要列表、不要寒暄。
- 只保留：用户情绪/困扰、涉及的交易事实、教练核心建议、已达成的共识、待跟进事项。
- 禁止编造未出现的信息；数字与账户名须来自原文。
""".strip()
ROLLING_SUMMARY_GENERAL_SYSTEM = """
你是对话记录员。把「此前摘要」与「本轮用户+助手回复」压成一条极短中文摘要。
要求：
- 100~240 字，纯文本一段，不要标题、不要列表。
- 只保留：话题、用户诉求、助手给出的关键信息、待跟进事项。
""".strip()
def build_rolling_summary_user_prompt(
*,
prior_summary: str,
user_text: str,
assistant_text: str,
) -> str:
parts: list[str] = []
if prior_summary.strip():
parts.extend(["【此前摘要】", prior_summary.strip()])
parts.extend([
"【本轮用户】",
user_text.strip() or "（空）",
"【本轮教练/助手】",
assistant_text.strip() or "（空）",
"请输出更新后的对话核心摘要：",
])
return "\n\n".join(parts)
def build_general_chat_user_prompt(
*,
history_lines: str,
rolling_summary: str = "",
history_lines: str = "",
user_message: str,
attachment_note: str = "",
) -> str:
parts: list[str] = []
if history_lines.strip():
parts.extend(["【此前对话（须接续，勿重复开场）】", history_lines.strip()])
if rolling_summary.strip():
parts.extend(["【对话核心摘要（须接续，勿重复开场）】", rolling_summary.strip()])
elif history_lines.strip():
parts.extend(["【最近对话】", history_lines.strip()])
if attachment_note.strip():
parts.extend(["【用户附件说明】", attachment_note.strip()])
parts.extend(["【用户现在说（优先回应这一条）】", user_message.strip()])
@@ -97,13 +138,16 @@ def build_chat_user_prompt(
context_text: str,
trading_day: str,
summary_excerpt: str,
history_lines: str,
rolling_summary: str = "",
history_lines: str = "",
user_message: str,
attachment_note: str = "",
) -> str:
parts = [f"【交易日】{trading_day}"]
if history_lines.strip():
parts.extend(["【此前对话（须接续，勿重复开场）】", history_lines.strip()])
if rolling_summary.strip():
parts.extend(["【对话核心摘要（须接续，勿重复开场）】", rolling_summary.strip()])
elif history_lines.strip():
parts.extend(["【最近对话】", history_lines.strip()])
parts.extend([
"【当前多账户快照（事实参考；持仓以「实盘持仓总览」为准）】",
context_text.strip() or "（无监控数据）",
manual_trading_hub/hub_ai/rolling_summary.py
+69
View File
@@ -0,0 +1,69 @@
"""聊天滚动摘要：每轮后压缩历史，续聊只带摘要 + 当前消息。"""
from __future__ import annotations
from hub_ai.text_util import clip_text, is_ai_error_reply
from hub_ai.client import generate_text
from hub_ai.config import (
CHAT_ROLLING_SUMMARY_GEN_MAX_TOKENS,
CHAT_ROLLING_SUMMARY_MAX_CHARS,
CHAT_ROLLING_SUMMARY_TEMPERATURE,
)
from hub_ai.prompts import (
ROLLING_SUMMARY_GENERAL_SYSTEM,
ROLLING_SUMMARY_TRADING_SYSTEM,
build_rolling_summary_user_prompt,
)
from hub_ai.store import CHAT_BOT_GENERAL, update_session_rolling_summary
def refresh_session_rolling_summary(
session_id: str,
*,
prior_summary: str,
user_text: str,
assistant_text: str,
bot_mode: str,
) -> str:
"""合并旧摘要与本轮对话，生成新的短摘要并写入会话。"""
user_clip = clip_text(user_text, 1200)
assistant_clip = clip_text(assistant_text, 1800)
if not user_clip and not assistant_clip:
summary = clip_text(prior_summary, CHAT_ROLLING_SUMMARY_MAX_CHARS)
update_session_rolling_summary(session_id, summary)
return summary
system = (
ROLLING_SUMMARY_GENERAL_SYSTEM
if (bot_mode or "").strip().lower() == CHAT_BOT_GENERAL
else ROLLING_SUMMARY_TRADING_SYSTEM
)
raw = generate_text(
system=system,
user=build_rolling_summary_user_prompt(
prior_summary=prior_summary,
user_text=user_clip,
assistant_text=assistant_clip,
),
temperature=CHAT_ROLLING_SUMMARY_TEMPERATURE,
max_tokens=CHAT_ROLLING_SUMMARY_GEN_MAX_TOKENS,
max_continuations=1,
)
if is_ai_error_reply(raw):
fallback = _fallback_summary(prior_summary, user_clip, assistant_clip)
update_session_rolling_summary(session_id, fallback)
return fallback
summary = clip_text(raw, CHAT_ROLLING_SUMMARY_MAX_CHARS)
update_session_rolling_summary(session_id, summary)
return summary
def _fallback_summary(prior: str, user_text: str, assistant_text: str) -> str:
parts: list[str] = []
if prior.strip():
parts.append(prior.strip())
if user_text.strip():
parts.append(f"用户：{clip_text(user_text, 200)}")
if assistant_text.strip():
parts.append(f"教练：{clip_text(assistant_text, 280)}")
return clip_text("\n".join(parts), CHAT_ROLLING_SUMMARY_MAX_CHARS)
manual_trading_hub/hub_ai/store.py
+17
View File
@@ -165,6 +165,7 @@ def create_new_session(
"created_at": _now_str(),
"updated_at": _now_str(),
"messages": [],
"rolling_summary": "",
}
store.setdefault("sessions", []).append(session)
store["active_session_id"] = session["id"]
@@ -179,6 +180,22 @@ def ensure_active_session(*, trading_day: str) -> dict:
return create_new_session(trading_day=trading_day)
def update_session_rolling_summary(session_id: str, summary: str) -> dict:
store = load_chat_store()
target = None
for s in store.get("sessions") or []:
if str(s.get("id")) == str(session_id):
target = s
break
if not target:
raise KeyError("session_not_found")
target["rolling_summary"] = str(summary or "").strip()
target["updated_at"] = _now_str()
store["active_session_id"] = target["id"]
save_chat_store(store)
return target
def append_chat_message(
session_id: str,
role: str,
manual_trading_hub/hub_ai/text_util.py
+14
View File
@@ -0,0 +1,14 @@
"""中控 AI 文本小工具。"""
def is_ai_error_reply(text: str) -> bool:
t = (text or "").strip()
return t.startswith("AI 调用失败") or t.startswith("AI 生成失败")
def clip_text(text: str, max_chars: int) -> str:
s = str(text or "").strip()
limit = max(200, int(max_chars or 0))
if len(s) <= limit:
return s
return s[: limit - 1].rstrip() + "…"
manual_trading_hub/static/app.js
+7
View File
@@ -3498,8 +3498,10 @@
}
const ARCHIVE_QUOTE_AI_KEY = "hub_archive_quote_ai";
let archiveQuoteAiPending = false;
async function consumeArchiveQuoteAiPending() {
if (archiveQuoteAiPending || aiChatLoading) return;
let raw = "";
try {
raw = sessionStorage.getItem(ARCHIVE_QUOTE_AI_KEY) || "";
@@ -3526,6 +3528,7 @@
applyAiMobileTab("trading");
}
archiveQuoteAiPending = true;
setAiChatBusy(true);
renderAiChatMessages(aiChatSessionCache, {
pendingUser: content,
@@ -3547,12 +3550,14 @@
showToast("复盘语录已发送给交易教练");
} catch (e) {
showToast(String(e), true);
if (input) input.value = content;
try {
await loadAiChatSession();
} catch (_) {
renderAiChatMessages(aiChatSessionCache);
}
} finally {
archiveQuoteAiPending = false;
setAiChatBusy(false);
}
}
@@ -3604,6 +3609,7 @@
const files = fileInput && fileInput.files ? Array.from(fileInput.files) : [];
if (!text && !files.length) return;
const pendingAttachments = files.map((f) => ({ name: f.name, kind: f.type.startsWith("image/") ? "image" : "text" }));
const savedText = text;
if (input) input.value = "";
setAiChatBusy(true);
renderAiChatMessages(aiChatSessionCache, {
@@ -3629,6 +3635,7 @@
}
} catch (e) {
showToast(String(e), true);
if (input && savedText) input.value = savedText;
try {
await loadAiChatSession();
} catch (_) {
manual_trading_hub/static/index.html
+1 -1
View File
@@ -594,6 +594,6 @@
<script src="/assets/dashboard.js?v=20260612-dash-monitor-count"></script>
<script src="/assets/ai_review_render.js?v=3"></script>
<script src="/assets/time_close_ui.js?v=2"></script>
<script src="/assets/app.js?v=20260612-archive-ai-chat"></script>
<script src="/assets/app.js?v=20260612-ai-chat-budget"></script>
</body>
</html>