feat: Yahoo Finance SSH proxy + Xiaomi MiMo LLM support

- Add SSH proxy via foreign server for Yahoo Finance bypass
- Add fallback in load_ohlcv and get_YFin_data_online
- Add LLM JSON decode retry (3 attempts) in NormalizedChatOpenAI
- Add yahoo_proxy.py utility module
- Add test_smoke.py and patches/

test_smoke.py

@@ -0,0 +1,66 @@
+"""Quick smoke test for TradingAgents deployment.
+
+Uses OpenRouter + free Gemini model to minimize cost.
+"""
+import os
+import json
+
+# Load OpenRouter API key from openclaw config
+with open(os.path.expanduser("~/.openclaw/openclaw.json")) as f:
+    oc_config = json.load(f)
+openrouter_key = oc_config.get("env", {}).get("OPENROUTER_API_KEY", "")
+if not openrouter_key:
+    raise RuntimeError("OPENROUTER_API_KEY not found in openclaw.json")
+
+os.environ["OPENROUTER_API_KEY"] = openrouter_key
+os.environ["ALPHA_VANTAGE_API_KEY"] = "W5PTA2J5OB16W02L"
+os.environ["OPENAI_API_KEY"] = "tp-ce6eaqg1gh1uev46i4oexh4sahloyfo2hfpxuc2n9m7yl9dd"
+os.environ["OPENAI_API_BASE"] = "https://token-plan-cn.xiaomimimo.com/v1"
+
+# Import after env var is set
+from tradingagents.graph.trading_graph import TradingAgentsGraph
+from tradingagents.default_config import DEFAULT_CONFIG
+
+# Configure: OpenRouter + Gemini (free/cheap model)
+config = DEFAULT_CONFIG.copy()
+config["llm_provider"] = "openai"
+config["deep_think_llm"] = "mimo-v2.5-pro"
+config["quick_think_llm"] = "mimo-v2.5"
+config["llm_max_retries"] = 6
+config["temperature"] = 0.1  # Lower temperature for more stable output
+config["data_vendors"] = {
+    "core_stock_apis": "yfinance",
+    "technical_indicators": "yfinance",
+    "fundamental_data": "alpha_vantage",
+    "news_data": "yfinance",
+    "macro_data": "fred",
+    "prediction_markets": "polymarket",
+}
+config["max_debate_rounds"] = 1
+config["max_risk_discuss_rounds"] = 1
+config["output_language"] = "Chinese"
+
+print("=" * 60)
+print("TradingAgents Smoke Test")
+print(f"Provider: {config['llm_provider']}")
+print(f"Deep Model: {config['deep_think_llm']}")
+print(f"Quick Model: {config['quick_think_llm']}")
+print("=" * 60)
+
+# Test with a simple A-share ticker
+ta = TradingAgentsGraph(debug=True, config=config)
+
+print("\nRunning analysis for 600519.SS (Kweichow Moutai) on 2026-01-15...")
+print("(This will take several minutes due to multiple LLM calls)\n")
+
+try:
+    _, decision = ta.propagate("AAPL", "2026-01-15")
+    print("\n" + "=" * 60)
+    print("DECISION RESULT:")
+    print("=" * 60)
+    print(decision)
+    print("\n✅ Smoke test PASSED!")
+except Exception as e:
+    print(f"\n❌ Smoke test FAILED: {e}")
+    import traceback
+    traceback.print_exc()