cli+dashboard: --panel flag, panel dict keys, TF-dialog panel section

main.py: --panel runs the agent panel on demand (force bypasses
enabled/surface/quality toggles; daily budget + LLM cap still apply),
prints the verdict + persona takes, and report_to_dict carries the four
panel keys — which auto-propagates them into the dashboard's
snapshot.json via report_to_webapp_dict. dashboard_publisher attaches
in scan_tf gated by agent_panel.dashboard (default off); dashboard.html
renders an "AI panel (advisory)" section in the TF detail dialog.

Claude-Session: https://claude.ai/code/session_01SisdfkxnXNL9iZsXxN3T15

main.py

@@ -20,6 +20,7 @@ if hasattr(sys.stdout, "reconfigure"):
 if hasattr(sys.stderr, "reconfigure"):
     sys.stderr.reconfigure(encoding="utf-8")
 
+from agent_panel import attach_panel
 from config import PlatformConfig, Timeframe, SignalStrength, XAUUSD
 from pair_signals import PAIR_PRODUCERS
 from signal_aggregator import SignalAggregator, SignalReport
@@ -163,6 +164,13 @@ def print_signal_report(report: SignalReport, detail: bool = False):
         print(f"  {Colors.MAGENTA}📰{Colors.RESET} {report.news_description}")
     if report.news_summary:
         print(f"  {Colors.MAGENTA}🧠{Colors.RESET} {report.news_summary}")
+    if report.panel_verdict:
+        print(f"  {Colors.CYAN}🤖{Colors.RESET} AI Panel: "
+              f"{Colors.BOLD}{report.panel_verdict}{Colors.RESET} "
+              f"({report.panel_confidence:.0f}%) — {report.panel_rationale}")
+        for t in report.panel_takes:
+            print(f"     {Colors.GRAY}{t['persona']:<11} {t['stance']:<8} "
+                  f"{t['note']}{Colors.RESET}")
 
     # ── 6. DETAIL (only with --detail) ─────────────────────────────
     if detail and report.primary_analysis:
@@ -209,6 +217,10 @@ def report_to_dict(report: SignalReport) -> dict:
         "news_sentiment": round(report.news_sentiment, 3),
         "news_description": report.news_description,
         "news_summary": report.news_summary,
+        "panel_verdict": report.panel_verdict,
+        "panel_confidence": round(report.panel_confidence, 1),
+        "panel_rationale": report.panel_rationale,
+        "panel_takes": report.panel_takes,
         "bullish_reasons": report.bullish_reasons,
         "bearish_reasons": report.bearish_reasons,
         "warnings": report.warnings,
@@ -268,6 +280,9 @@ Examples:
                         help="Primary analysis timeframe (default: H1)")
     parser.add_argument("--detail", action="store_true",
                         help="Show full indicator breakdown")
+    parser.add_argument("--panel", action="store_true",
+                        help="Run the LLM agent panel on the result "
+                             "(advisory only; needs a DeepSeek key)")
     parser.add_argument("--json", action="store_true",
                         help="Output as JSON")
     parser.add_argument("--verbose", "-v", action="store_true",
@@ -323,6 +338,11 @@ def run_live(args, config: PlatformConfig):
     aggregator = SignalAggregator(config)
     report = aggregator.analyze_pair(symbol=config.symbol)
 
+    # Explicit user intent: force bypasses the enabled/surface/quality
+    # toggles, but the daily panel budget and LLM cap still apply.
+    if getattr(args, "panel", False):
+        attach_panel(report, surface="cli", force=True)
+
     if args.json:
         print(json.dumps(report_to_dict(report), indent=2))
         return