From 3fbe45e01316b20fdd0b218ffaa282c58219dfd7 Mon Sep 17 00:00:00 2001
From: Harwinder Sekhon <hs.sekhon3@gmail.com>
Date: Fri, 7 Aug 2026 22:32:57 -0400
Subject: [PATCH] telegram: attach AI panel to alert-quality sends (advisory
 block)
MIME-Version: 1.0
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Auto-scan and level-breach alert paths attach the panel AFTER the
quality gate and dedup decision (no LLM spend on suppressed alerts),
via run_in_executor so the event loop stays free. Alert message gains a
two-line 🤖 AI Panel block (verdict + confidence + rationale, persona
votes); /status shows the daily panel budget when the feature is on.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SisdfkxnXNL9iZsXxN3T15
---
 telegram_bot.py | 27 +++++++++++++++++++++++++++
 test_all.py     | 20 ++++++++++++++++++++
 2 files changed, 47 insertions(+)

diff --git a/telegram_bot.py b/telegram_bot.py
index a4d8971..31a06ab 100755
--- a/telegram_bot.py
+++ b/telegram_bot.py
@@ -71,6 +71,7 @@ from app_config import (
     telegram_channel_id,
 )
 from providers import BaseDataProvider, make_data_provider
+from agent_panel import attach_panel, panel_health
 from llm_client import get_llm_client
 from news_engine import FundamentalContext, NewsEngine
 from pair_signals import PAIR_PRODUCERS
@@ -407,6 +408,17 @@ def format_signal_message(report: SignalReport) -> str:
         extra.append(f"⚠️ {_escape_md(w)}")
     if report.news_summary:
         extra.append(f"📰 {_escape_md(report.news_summary)}")
+    if report.panel_verdict:
+        mark = {"AGREE": "✅", "OPPOSE": "⛔", "NEUTRAL": "➖"}.get(
+            report.panel_verdict, "")
+        extra.append(
+            f"🤖 AI Panel {mark} *{_escape_md(report.panel_verdict)}* "
+            f"({report.panel_confidence:.0f}%) — "
+            f"{_escape_md(report.panel_rationale)}")
+        if report.panel_takes:
+            votes = " · ".join(
+                f"{t['persona']}:{t['stance'][:3]}" for t in report.panel_takes)
+            extra.append(f"   _{_escape_md(votes)}_")
     if extra:
         lines += [""] + extra
 
@@ -720,6 +732,13 @@ async def _scan_timeframe(
         async with _alert_lock(key):
             if not _should_alert(key, report):
                 continue
+            # Panel AFTER the quality gate + dedup decision so no LLM
+            # spend on suppressed alerts. Runs on the scan executor to
+            # keep the event loop free; this key's alert lock is held
+            # for the panel's wall time (≤~25 s), which only delays a
+            # same-key duplicate that _should_alert would drop anyway.
+            await asyncio.get_running_loop().run_in_executor(
+                _executor, attach_panel, report)
             detail = format_signal_message(report)
             delivered = False
             for chat_id in _signal_targets():
@@ -855,6 +874,10 @@ async def _handle_breach(bot, pair_symbol: str, price: float, level_name: str) -
         if not _should_alert(key, report):
             return
 
+        # Same post-gate panel attach as the auto-scan path (see
+        # _scan_timeframe for the spend/lock rationale).
+        await asyncio.get_running_loop().run_in_executor(
+            _executor, attach_panel, report)
         header = (
             f"⚡ *LEVEL BREAK* — {_escape_md(display)} crossed "
             f"*{_escape_md(label)}* @ `{_fmt_price(price)}`\n\n"
@@ -1193,6 +1216,10 @@ def _news_health_lines() -> List[str]:
         else:
             lines.append(f"  ✅ DeepSeek: {used}/{cap} calls today,"
                          f" {scored} headlines scored")
+        if get_app_config().agent_panel_settings.get("enabled", False):
+            ph = panel_health()
+            lines.append(f"  🤖 AI panel: {ph['used_today']}/{ph['cap']}"
+                         " panels today")
     return lines
 
 
diff --git a/test_all.py b/test_all.py
index 361c17d..0cb4713 100644
--- a/test_all.py
+++ b/test_all.py
@@ -7235,6 +7235,26 @@ def _():
         ap.reset_panel_state()
 
 
+@test("panel verdict flows to Telegram message; absent verdict silent")
+def _():
+    import telegram_bot as tb
+    report = _panel_report()
+    assert "AI Panel" not in tb.format_signal_message(report)
+    report.panel_verdict = "OPPOSE"
+    report.panel_confidence = 64.0
+    report.panel_rationale = "counter-trend against aligned H4"
+    report.panel_takes = [
+        {"persona": "macro", "stance": "support", "confidence": 60,
+         "note": "n"},
+        {"persona": "technical", "stance": "oppose", "confidence": 80,
+         "note": "n"},
+    ]
+    msg = tb.format_signal_message(report)
+    assert "AI Panel" in msg and "OPPOSE" in msg and "(64%)" in msg
+    assert "counter-trend against aligned H4" in msg
+    assert "macro:sup" in msg and "technical:opp" in msg
+
+
 @test("backtest parity: analyze_from_dataframes never populates panel")
 def _():
     try: