refactor: TradingAgentsAdapter and README file

.env.example

@@ -35,4 +35,7 @@ SEC_EMAIL=
 # refer to ./python/third_party/TradingAgents/.env.example for details
 # OpenAI API Key - Required for LLM models and online data search
 # Get your key from: https://platform.openai.com/api-keys
-# OPENAI_API_KEY=
+OPENAI_API_KEY=
+# Finnhub API Key - Required for financial news and insider trading data
+# Get your free key from: https://finnhub.io/register
+FINNHUB_API_KEY=

README.md

@@ -6,7 +6,7 @@
     <a href="https://www.python.org/downloads" target="_blank">
         <img src="https://img.shields.io/badge/python-3.12+-blue.svg"
             alt="Python version"></a>
-    <a href=".LICENSE" target="_blank">
+    <a href="LICENSE" target="_blank">
         <img src="https://img.shields.io/badge/license-Apache2.0-red.svg"
             alt="License: Apache2.0"></a>  
     <br>
@@ -16,7 +16,7 @@
     <a href="https://twitter.com/intent/follow?screen_name=valuecell" target="_blank">
         <img src="https://img.shields.io/twitter/follow/valuecell?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+    <a href="https://www.linkedin.com/company/valuecell/" target="_blank">
         <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
             alt="follow on LinkedIn"></a>
     <a href="https://www.facebook.com/people/ValueCell/61581410516790/" target="_blank">

README.zh.md

@@ -6,7 +6,7 @@
     <a href="https://www.python.org/downloads" target="_blank">
         <img src="https://img.shields.io/badge/python-3.12+-blue.svg"
             alt="Python version"></a>
-    <a href=".LICENSE" target="_blank">
+    <a href="LICENSE" target="_blank">
         <img src="https://img.shields.io/badge/license-Apache2.0-red.svg"
             alt="License: Apache2.0"></a>  
     <br>
@@ -16,7 +16,7 @@
     <a href="https://twitter.com/intent/follow?screen_name=valuecell" target="_blank">
         <img src="https://img.shields.io/twitter/follow/valuecell?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+    <a href="https://www.linkedin.com/company/valuecell/" target="_blank">
         <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
             alt="follow on LinkedIn"></a>
     <a href="https://www.facebook.com/people/ValueCell/61581410516790/" target="_blank">

frontend/src/constants/agent.ts

@@ -66,6 +66,6 @@ export const AGENT_AVATAR_MAP: Record<string, string> = {
   SentimentAnalystAgent: EmotionalAgencyPng,
 
   // System Agents
-  TradingAgentsAdapter: PortfolioManagerPng,
+  TradingAgents: PortfolioManagerPng,
   SECAgent: SecAgentPng,
 };

frontend/src/mock/agent-data.tsx

@@ -4,7 +4,7 @@ import { IconGroupPng, MessageGroupPng, TrendPng } from "@/assets/png";
 
 export const agentSuggestions: AgentSuggestion[] = [
   {
-    id: "TradingAgentsAdapter",
+    id: "TradingAgents",
     title: "Research Report",
     icon: <TrendingUp size={16} className="text-gray-500" />,
     description: "Diversified in-depth analysis reports",

python/configs/agent_cards/trading_agents.json

@@ -1,30 +1,28 @@
 {
-    "name": "TradingAgentsAdapter",
+    "name": "TradingAgents",
     "display_name": "Trading Agents",
     "url": "http://localhost:10002",
     "description": "TradingAgents - Multi-agent trading analysis system with market, sentiment, news and fundamentals analysis",
     "capabilities": {
         "streaming": true,
         "push_notifications": false
     },
-    "skills": [
-        {
-            "id": "trading_agents",
-            "name": "Trading Agents",
-            "description": "Trading Agents - Multi-agent trading analysis system with market, sentiment, news and fundamentals analysis",
-            "examples": [
-                "Analyze APPL using all analysts",
-                "Analyze NVDA using market and fundamentals analysts",
-                "Analyze TSLA using all analysts, date 2024-01-15, enable debug mode"
-            ],
-            "tags": [
-                "analysis",
-                "multi-agent",
-                "stocks",
-                "US market"
-            ]
-        }
-    ],
+    "skills": [{
+        "id": "trading_agents",
+        "name": "Trading Agents",
+        "description": "Trading Agents - Multi-agent trading analysis system with market, sentiment, news and fundamentals analysis",
+        "examples": [
+            "Analyze APPL using all analysts",
+            "Analyze NVDA using market and fundamentals analysts",
+            "Analyze TSLA using all analysts, date 2024-01-15, enable debug mode"
+        ],
+        "tags": [
+            "analysis",
+            "multi-agent",
+            "stocks",
+            "US market"
+        ]
+    }],
     "provider": {
         "organization": "Tauric",
         "url": "https://arxiv.org/abs/2412.20138"

python/scripts/launch.py

@@ -31,7 +31,7 @@
     "WarrenBuffettAgent": "warren_buffett",
 }
 SEC_AGENT_NAME = "SECAgent"
-TRADING_AGENTS_NAME = "TradingAgentsAdapter"
+TRADING_AGENTS_NAME = "TradingAgents"
 AGENTS = list(MAP_NAME_ANALYST.keys()) + [SEC_AGENT_NAME, TRADING_AGENTS_NAME]
 
 PROJECT_DIR = Path(__file__).resolve().parent.parent.parent

python/third_party/TradingAgents/adapter/__main__.py

@@ -181,7 +181,7 @@ class DialogueState(MessagesState):
     current_step: str = "parsing"
 
 
-class TradingAgentsAdapter(BaseAgent):
+class TradingAgents(BaseAgent):
     """TradingAgents adapter for valuecell core agent system"""
 
     def __init__(self):
@@ -540,5 +540,5 @@ def _stream_analysis_results(self, request: TradingRequest, final_state: Dict, p
 
 
 if __name__ == "__main__":
-    agent = create_wrapped_agent(TradingAgentsAdapter)
+    agent = create_wrapped_agent(TradingAgents)
     asyncio.run(agent.serve())

python/third_party/TradingAgents/interactive_client.py

@@ -33,7 +33,7 @@ class TradingAgentsInteractiveClient:
 
     def __init__(self):
         self.connections = RemoteConnections()
-        self.agent_name = "TradingAgentsAdapter"
+        self.agent_name = "TradingAgents"
         self.client: Optional[object] = None
 
         # Configuration options

python/third_party/TradingAgents/start_adapter.py

@@ -20,7 +20,7 @@
 sys.path.insert(0, str(valuecell_root))
 
 from valuecell.core.agent.decorator import create_wrapped_agent
-from adapter.__main__ import TradingAgentsAdapter
+from adapter.__main__ import TradingAgents
 
 # Set logging
 logging.basicConfig(
@@ -47,10 +47,10 @@ async def main():
     try:
         setup_environment()
 
-        logger.info("🚀 Starting TradingAgents Adapter...")
+        logger.info("🚀 Starting TradingAgents ...")
 
         # Create and start agent
-        agent = create_wrapped_agent(TradingAgentsAdapter)
+        agent = create_wrapped_agent(TradingAgents)
         await agent.serve()
 
     except KeyboardInterrupt:

python/valuecell/server/db/README.md

@@ -97,7 +97,7 @@ The Asset model represents financial assets in the ValueCell system, including s
 3. **Create table structure**: Create agents and assets tables based on model definitions
 4. **Initialize default data**:
    - **Agent data**: Insert default Agent records directly from code
-     - Create three default agents: AIHedgeFundAgent, Sec13FundAgent, and TradingAgentsAdapter
+     - Create three default agents: AIHedgeFundAgent, Sec13FundAgent, and TradingAgents
      - Support updating existing Agent configuration information
    - **Asset data**: Insert default Asset records for common financial instruments
      - Create default assets: AAPL, GOOGL, MSFT, SPY, BTC-USD
@@ -114,7 +114,7 @@ The initialization script automatically creates default records directly in the
 
 1. **AIHedgeFundAgent**: AI-powered hedge fund analysis and trading agent
 2. **Sec13FundAgent**: SEC 13F fund analysis and tracking agent  
-3. **TradingAgentsAdapter**: Multi-agent trading analysis system with market, sentiment, news and fundamentals analysis
+3. **TradingAgents**: Multi-agent trading analysis system with market, sentiment, news and fundamentals analysis
 
 #### Default Assets
 
@@ -129,7 +129,7 @@ The initialization script automatically creates default records directly in the
 **Agent data structure example**:
 ```python
 {
-    "name": "TradingAgentsAdapter",
+    "name": "TradingAgents",
     "display_name": "Trading Agents Adapter",
     "description": "TradingAgents - Multi-agent trading analysis system",
     "version": "1.0.0",
@@ -196,7 +196,7 @@ try:
     agents = session.query(Agent).filter(Agent.enabled == True).all()
 
     # Get specific agent
-    trading_agent = session.query(Agent).filter(Agent.name == "TradingAgentsAdapter").first()
+    trading_agent = session.query(Agent).filter(Agent.name == "TradingAgents").first()
 
     # Update agent status
     if trading_agent: