feat: add display names and metadata to agent cards; update agent card parsing logic

python/configs/agent_cards/aswath_damodaran_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "AswathDamodaranAgent",
+    "display_name": "Aswath Damodaran Agent",
     "url": "http://localhost:10010/",
     "description": "Valuation-focused analysis using robust discounted cash flow and intrinsic value methods. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Value Tesla using a DCF with scenario analysis",
                 "What's the intrinsic value range for Nvidia based on conservative growth assumptions?"
             ],
-            "tags": ["valuation", "DCF", "intrinsic value"]
+            "tags": [
+                "valuation",
+                "DCF",
+                "intrinsic value"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/ben_graham_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "BenGrahamAgent",
+    "display_name": "Ben Graham Agent",
     "url": "http://localhost:10011/",
     "description": "Margin-of-safety and value-investing oriented screens and stock selection. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,11 @@
                 "Find stocks trading below intrinsic value with strong balance sheets",
                 "Screen for deep value opportunities in the small-cap universe"
             ],
-            "tags": ["value investing", "margin of safety"]
+            "tags": [
+                "value investing",
+                "margin of safety"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/bill_ackman_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "BillAckmanAgent",
+    "display_name": "Bill Ackman Agent",
     "url": "http://localhost:10012/",
     "description": "Event-driven and activist-investor style analysis focused on catalysts and corporate structure improvements. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Identify potential activist targets with undervalued assets",
                 "What catalysts could unlock value at Company X?"
             ],
-            "tags": ["activist", "event-driven", "catalyst"]
+            "tags": [
+                "activist",
+                "event-driven",
+                "catalyst"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/cathie_wood_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "CathieWoodAgent",
+    "display_name": "Cathie Wood Agent",
     "url": "http://localhost:10013/",
     "description": "High-conviction growth and disruptive-innovation oriented analysis with long-term thematic views. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Assess the long-term growth thesis for ARK-style thematic investments",
                 "How might disruptive technology revenues evolve over the next 5 years?"
             ],
-            "tags": ["growth", "disruption", "thematic"]
+            "tags": [
+                "growth",
+                "disruption",
+                "thematic"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/charlie_munger_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "CharlieMungerAgent",
+    "display_name": "Charlie Munger Agent",
     "url": "http://localhost:10014/",
     "description": "Broad multidisciplinary perspective, focus on high-quality businesses with durable competitive advantages. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Identify companies with long-term competitive moats",
                 "Evaluate management quality and capital allocation decisions"
             ],
-            "tags": ["quality investing", "moat", "capital allocation"]
+            "tags": [
+                "quality investing",
+                "moat",
+                "capital allocation"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/fundamentals_analyst_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "FundamentalsAnalystAgent",
+    "display_name": "Fundamentals Analyst",
     "url": "http://localhost:10023/",
     "description": "Financial-statement-driven analysis covering profitability, cash flows, and balance sheet strength. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Analyze revenue and margin trends for Microsoft",
                 "Assess liquidity and leverage for Boeing"
             ],
-            "tags": ["fundamentals", "financial statements", "metrics"]
+            "tags": [
+                "fundamentals",
+                "financial statements",
+                "metrics"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/michael_burry_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "MichaelBurryAgent",
+    "display_name": "Michael Burry Agent",
     "url": "http://localhost:10015/",
     "description": "Contrarian, deep-research driven value and special-situation analysis. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Find contrarian opportunities overlooked by the market",
                 "Analyze distressed or deeply undervalued securities"
             ],
-            "tags": ["contrarian", "deep value", "special situations"]
+            "tags": [
+                "contrarian",
+                "deep value",
+                "special situations"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/mohnish_pabrai_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "MohnishPabraiAgent",
+    "display_name": "Mohnish Pabrai Agent",
     "url": "http://localhost:10016/",
     "description": "Concentrated, low-risk value investing with a focus on high-upside asymmetric bets. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Build a concentrated portfolio of high-conviction value ideas",
                 "Where are asymmetric risk-reward opportunities today?"
             ],
-            "tags": ["concentrated", "value", "asymmetric"]
+            "tags": [
+                "concentrated",
+                "value",
+                "asymmetric"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/peter_lynch_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "PeterLynchAgent",
+    "display_name": "Peter Lynch Agent",
     "url": "http://localhost:10017/",
     "description": "Bottom-up, growth-at-a-reasonable-price (GARP) style stock picking and idea generation. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Spot consumer-facing growth stories with reasonable valuations",
                 "Which small-cap growth companies show durable revenue expansion?"
             ],
-            "tags": ["GARP", "bottom-up", "growth"]
+            "tags": [
+                "GARP",
+                "bottom-up",
+                "growth"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/phil_fisher_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "PhilFisherAgent",
+    "display_name": "Phil Fisher Agent",
     "url": "http://localhost:10018/",
     "description": "Qualitative growth investing focused on management, R&D, and long-term industry positioning. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Assess a company's management and research capabilities",
                 "What are the long-term secular growth drivers for Company Y?"
             ],
-            "tags": ["qualitative", "management", "R&D"]
+            "tags": [
+                "qualitative",
+                "management",
+                "R&D"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/rakesh_jhunjhunwala_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "RakeshJhunjhunwalaAgent",
+    "display_name": "Rakesh Jhunjhunwala Agent",
     "url": "http://localhost:10019/",
     "description": "Concentrated, conviction-driven investing with an emphasis on high-growth emerging opportunities. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Identify high-growth opportunities in emerging markets",
                 "Which mid-cap names have the potential to scale rapidly?"
             ],
-            "tags": ["emerging markets", "conviction", "growth"]
+            "tags": [
+                "emerging markets",
+                "conviction",
+                "growth"
+            ]
         }
     ],
     "enabled": true
-}
+}

python/configs/agent_cards/sec_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "SecAgent",
+    "display_name": "SEC Agent",
     "url": "http://localhost:10003/",
     "description": "SecAgent can analyze SEC filings like 10-Q, 10-K, 13-F and analyze stock holdings of institutional investment managers. It can chat about stock performance, financial metrics, and market trends or track specific stocks and provide updates.",
     "skills": [
@@ -12,7 +13,11 @@
                 "How has the portfolio of Vanguard Group changed over the last four quarters?",
                 "Can you provide insights on the stock performance of Apple and Microsoft based on recent 13F filings?"
             ],
-            "tags": ["13F", "stock holdings", "institutional investors"]
+            "tags": [
+                "13F",
+                "stock holdings",
+                "institutional investors"
+            ]
         },
         {
             "id": "compare_quarterly_reports",
@@ -23,7 +28,11 @@
                 "Analyze Apple's Q1 vs Q4 financial performance from their 10-Q filings",
                 "What are the key changes in Amazon's quarterly revenue and expenses over the past year?"
             ],
-            "tags": ["10-Q", "quarterly reports", "financial analysis"]
+            "tags": [
+                "10-Q",
+                "quarterly reports",
+                "financial analysis"
+            ]
         },
         {
             "id": "summarize_annual_reports",
@@ -34,7 +43,11 @@
                 "What are the main highlights from Microsoft's annual 10-K filing?",
                 "Provide a comprehensive summary of Meta's business segments from their 10-K report"
             ],
-            "tags": ["10-K", "annual reports", "financial summary"]
+            "tags": [
+                "10-K",
+                "annual reports",
+                "financial summary"
+            ]
         },
         {
             "id": "compare_industry_performance",
@@ -45,7 +58,11 @@
                 "Compare the profitability metrics of JPMorgan, Bank of America, and Wells Fargo",
                 "Analyze the revenue growth rates of Netflix, Disney, and Warner Bros Discovery"
             ],
-            "tags": ["industry comparison", "financial metrics", "competitive analysis"]
+            "tags": [
+                "industry comparison",
+                "financial metrics",
+                "competitive analysis"
+            ]
         },
         {
             "id": "analyze_revenue_mix_evolution",
@@ -56,7 +73,11 @@
                 "Analyze the evolution of Amazon's revenue streams from 2020 to 2023",
                 "What changes occurred in Apple's product revenue mix in the last 5 years?"
             ],
-            "tags": ["revenue mix", "business segments", "financial evolution"]
+            "tags": [
+                "revenue mix",
+                "business segments",
+                "financial evolution"
+            ]
         },
         {
             "id": "assess_financial_health_metrics",
@@ -67,7 +88,11 @@
                 "What do the debt-to-equity ratios tell us about Boeing's financial stability?",
                 "Analyze the cash flow trends and liquidity position of General Electric"
             ],
-            "tags": ["financial health", "liquidity", "debt analysis"]
+            "tags": [
+                "financial health",
+                "liquidity",
+                "debt analysis"
+            ]
         },
         {
             "id": "identify_risk_factors",
@@ -78,9 +103,21 @@
                 "Analyze the regulatory risks mentioned in JPMorgan's annual report",
                 "Compare the risk disclosures between traditional automakers and EV companies"
             ],
-            "tags": ["risk factors", "financial risk", "SEC filings"]
+            "tags": [
+                "risk factors",
+                "financial risk",
+                "SEC filings"
+            ]
         }
     ],
-
-    "enabled": true
+    "enabled": true,
+    "metadata": {
+        "version": "1.0.0",
+        "author": "ValueCell Team",
+        "tags": [
+            "sec",
+            "13f",
+            "fund-analysis"
+        ]
+    }
 }

python/configs/agent_cards/sentiment_analyst_agent.json

@@ -1,5 +1,6 @@
 {
     "name": "SentimentAnalystAgent",
+    "display_name": "Sentiment Analyst",
     "url": "http://localhost:10024/",
     "description": "Market sentiment and positioning analysis using newsflow, social signals, and positioning data. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
     "skills": [
@@ -11,8 +12,12 @@
                 "Gauge retail sentiment around meme stocks",
                 "Summarize recent news sentiment for Amazon"
             ],
-            "tags": ["sentiment", "news", "social"]
+            "tags": [
+                "sentiment",
+                "news",
+                "social"
+            ]
         }
     ],
     "enabled": true
-}
+}