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cgae-server

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rb125 commited on 6 days ago

Commit

cfe97b2

1 Parent(s): a556b6c

final cleanup

Browse files

Files changed (32) hide show

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dashboard-next/next.config.ts +1 -10
dashboard-next/out/404.html +1 -0
dashboard-next/out/__next.__PAGE__.txt +9 -0
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requirements.txt +6 -3
scripts/video_demo.py +15 -15
server/api.py +11 -0

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 const POLL_MS = 2000;
 const VIOLET = "#7c3aed";

   ResponsiveContainer, CartesianGrid, Cell, PieChart, Pie,
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 import type { NextConfig } from "next";
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+    "beforeFiles": [],
+    "fallback": []
+  },
+  "sortedPages": [
+    "/_app",
+    "/_error"
+  ]
+};self.__BUILD_MANIFEST_CB && self.__BUILD_MANIFEST_CB()

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1	+ self.__MIDDLEWARE_MATCHERS = [];self.__MIDDLEWARE_MATCHERS_CB && self.__MIDDLEWARE_MATCHERS_CB()

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1	+ self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()

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+ <!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="/_next/static/chunks/0m6jl4eotrv9x.css" data-precedence="next"/><link rel="preload" as="script" fetchPriority="low" href="/_next/static/chunks/11kjahy2ntf0n.js"/><script src="/_next/static/chunks/0loz6vpbrx5_j.js" async=""></script><script src="/_next/static/chunks/0n~dq4kpx9xxx.js" async=""></script><script src="/_next/static/chunks/turbopack-17dice02pll~k.js" async=""></script><script src="/_next/static/chunks/0o~269zocnb95.js" async=""></script><script src="/_next/static/chunks/023.ci~1l._63.js" async=""></script><link rel="preload" href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&family=JetBrains+Mono:wght@400;500&display=swap" as="style"/><link rel="preconnect" href="https://fonts.googleapis.com"/><link rel="preconnect" href="https://fonts.gstatic.com" crossorigin=""/><title>CGAE · Agent Economy</title><meta name="description" content="Comprehension-Gated Agent Economy — 0G Chain"/><link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"/><script src="/_next/static/chunks/03~yq9q893hmn.js" noModule=""></script></head><body class="antialiased min-h-screen" style="font-family:'Inter', system-ui, sans-serif"><div hidden=""></div><div class="min-h-screen" style="background:linear-gradient(135deg, #ede9fe 0%, #e0f2fe 30%, #faf5ff 60%, #fce7f3 100%)"><header class="bg-white/70 backdrop-blur-md border-b border-white/50 px-6 py-3.5 sticky top-0 z-50 shadow-sm"><div class="max-w-7xl mx-auto flex items-center justify-between"><div class="flex items-center gap-5"><div class="flex items-center gap-2.5"><div class="w-8 h-8 rounded-xl bg-gradient-to-br from-violet-600 to-blue-600 flex items-center justify-center text-white text-sm font-black shadow-lg shadow-violet-200">◆</div><div><h1 class="text-sm font-extrabold text-slate-800">CGAE</h1><p class="text-[10px] text-slate-400 font-medium -mt-0.5">Agent Economy</p></div></div><div class="hidden sm:flex items-center gap-3 text-xs border-l border-slate-200 pl-5"><span class="inline-flex items-center gap-1.5 text-xs text-slate-500 font-medium"><span class="h-2 w-2 rounded-full" style="background-color:#94a3b8"></span>connecting</span></div></div><a href="https://chainscan-galileo.0g.ai" target="_blank" rel="noopener noreferrer" class="text-[11px] px-4 py-2 rounded-xl font-bold text-white bg-gradient-to-r from-violet-600 to-blue-600 hover:from-violet-700 hover:to-blue-700 shadow-md shadow-violet-200 transition-all">0G Explorer ↗</a></div></header><nav class="bg-white/50 backdrop-blur-md border-b border-white/40 px-6 sticky top-[57px] z-40"><div class="max-w-7xl mx-auto flex"><button class="px-5 py-3 text-xs font-bold border-b-2 transition-all border-violet-500 text-violet-700">📈 Economy</button><button class="px-5 py-3 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+e:[["$","title","0",{"children":"CGAE · Agent Economy"}],["$","meta","1",{"name":"description","content":"Comprehension-Gated Agent Economy — 0G Chain"}]]

requirements.txt CHANGED Viewed

@@ -1,5 +1,8 @@
-streamlit>=1.30.0
-plotly>=5.18.0
-pandas>=2.0.0
 python-dotenv>=1.0.0
 requests>=2.31.0

+fastapi>=0.101.0
+uvicorn>=0.27.0
 python-dotenv>=1.0.0
 requests>=2.31.0
+web3>=7.0.0
+eth-account>=0.13.0
+openai>=1.0.0
+httpx>=0.25.0

scripts/video_demo.py CHANGED Viewed

@@ -39,7 +39,7 @@ def section(title: str):
     print(f"\n{'='*60}")
     print(f"  {title}")
     print(f"{'='*60}\n")
-    time.sleep(0.5)
 def main():
@@ -91,9 +91,9 @@ def main():
     print("  Registering 5 AI agents with different economic strategies:\n")
     for model, strat in AGENTS.items():
         print(f"    {model:45s} -> {strat}")
-        time.sleep(1.0)
     print()
-    time.sleep(2)
     with api._state_lock:
         api._state["status"] = "setup"
@@ -103,7 +103,7 @@ def main():
     section("Step 2: Live Robustness Audits")
     print("  Querying CDCT, DDFT, and AGT framework APIs for each model...")
     print("  This produces verified CC, ER, AS, IH scores.\n")
-    time.sleep(4)
     runner.setup()
@@ -126,9 +126,9 @@ def main():
         if cid != "n/a":
             print(f"      0G Hash: {cid[:32]}...")
         print()
-        time.sleep(0.5)
-    time.sleep(2)
     # ---- Step 3: Gate Assignment ----
     section("Step 3: Weakest-Link Gate -> Tier Assignment")
@@ -155,7 +155,7 @@ def main():
         print(fmt.format(*row))
     print(sep)
     print()
-    time.sleep(12)
     # ---- Step 4: Economy Rounds ----
     section(f"Step 4: Running {args.rounds} Economy Rounds")
@@ -361,7 +361,7 @@ def main():
                          "DELEGATION_BLOCKED":"\U0001f6ab"}
                 print(f"         {icons.get(etype,'\U0001f4cb')} {etype}: {evt['agent']}")
-        time.sleep(3)
     # Restore logging
     logging.getLogger("server.live_runner").setLevel(logging.INFO)
@@ -381,7 +381,7 @@ def main():
     else:
         print("    No protocol events captured.")
     print()
-    time.sleep(5)
     # ---- Step 6: Audit Certificate Verification ----
     section("Step 6: Audit Certificate Verification (0G Storage)")
@@ -396,10 +396,10 @@ def main():
             print(f"      Merkle root: {rec.audit_cid}")
             print(f"      On-chain:    CC={r.cc:.2f} ER={r.er:.2f} AS={r.as_:.2f} IH={r.ih:.2f}")
             print()
-            time.sleep(1.5)
             shown += 1
     print()
-    time.sleep(3)
     # ---- Step 7: Final Leaderboard ----
     runner._finalize()
@@ -413,7 +413,7 @@ def main():
         print(f"    Total Rewards:    \u039e {econ['total_rewards_paid']:.4f}")
         print(f"    Total Penalties:  \u039e {econ['total_penalties_collected']:.4f}")
         print()
-        time.sleep(2)
         agents_sorted = sorted(runner._final_summary["agents"],
                                key=lambda a: a["total_earned"], reverse=True)
         print(f"    {'Model':<45s} {'Tier':>4s} {'Earned':>8s} {'Balance':>8s} {'W/L':>6s}  Strategy")
@@ -422,9 +422,9 @@ def main():
             strat = a.get("strategy", "?")
             print(f"    {a['model_name']:<45s} {a['tier_name']:>4s} {a['total_earned']:>8.4f} "
                   f"{a['balance']:>8.4f} {a['contracts_completed']:>3d}/{a['contracts_failed']:<3d} {strat}")
-            time.sleep(0.6)
         print()
-        time.sleep(3)
         print("  Theorem Validation:")
         for line in [
             "    \u2705 Theorem 1 (Bounded Exposure): No agent exceeded tier budget ceiling",
@@ -433,7 +433,7 @@ def main():
             "    \u2705 Proposition 2 (Collusion Resistance): Adversarial attempts blocked",
         ]:
             print(line)
-            time.sleep(1.5)
     with api._state_lock:
         api._state["status"] = "done"

     print(f"\n{'='*60}")
     print(f"  {title}")
     print(f"{'='*60}\n")
+    time.sleep(0.2)
 def main():
     print("  Registering 5 AI agents with different economic strategies:\n")
     for model, strat in AGENTS.items():
         print(f"    {model:45s} -> {strat}")
+        time.sleep(0.3)
     print()
+    time.sleep(0.2)
     with api._state_lock:
         api._state["status"] = "setup"
     section("Step 2: Live Robustness Audits")
     print("  Querying CDCT, DDFT, and AGT framework APIs for each model...")
     print("  This produces verified CC, ER, AS, IH scores.\n")
+    time.sleep(1)
     runner.setup()
         if cid != "n/a":
             print(f"      0G Hash: {cid[:32]}...")
         print()
+        time.sleep(0.2)
+    time.sleep(0.2)
     # ---- Step 3: Gate Assignment ----
     section("Step 3: Weakest-Link Gate -> Tier Assignment")
         print(fmt.format(*row))
     print(sep)
     print()
+    time.sleep(1)
     # ---- Step 4: Economy Rounds ----
     section(f"Step 4: Running {args.rounds} Economy Rounds")
                          "DELEGATION_BLOCKED":"\U0001f6ab"}
                 print(f"         {icons.get(etype,'\U0001f4cb')} {etype}: {evt['agent']}")
+        time.sleep(1)
     # Restore logging
     logging.getLogger("server.live_runner").setLevel(logging.INFO)
     else:
         print("    No protocol events captured.")
     print()
+    time.sleep(1)
     # ---- Step 6: Audit Certificate Verification ----
     section("Step 6: Audit Certificate Verification (0G Storage)")
             print(f"      Merkle root: {rec.audit_cid}")
             print(f"      On-chain:    CC={r.cc:.2f} ER={r.er:.2f} AS={r.as_:.2f} IH={r.ih:.2f}")
             print()
+            time.sleep(0.2)
             shown += 1
     print()
+    time.sleep(1)
     # ---- Step 7: Final Leaderboard ----
     runner._finalize()
         print(f"    Total Rewards:    \u039e {econ['total_rewards_paid']:.4f}")
         print(f"    Total Penalties:  \u039e {econ['total_penalties_collected']:.4f}")
         print()
+        time.sleep(0.2)
         agents_sorted = sorted(runner._final_summary["agents"],
                                key=lambda a: a["total_earned"], reverse=True)
         print(f"    {'Model':<45s} {'Tier':>4s} {'Earned':>8s} {'Balance':>8s} {'W/L':>6s}  Strategy")
             strat = a.get("strategy", "?")
             print(f"    {a['model_name']:<45s} {a['tier_name']:>4s} {a['total_earned']:>8.4f} "
                   f"{a['balance']:>8.4f} {a['contracts_completed']:>3d}/{a['contracts_failed']:<3d} {strat}")
+            time.sleep(0.2)
         print()
+        time.sleep(1)
         print("  Theorem Validation:")
         for line in [
             "    \u2705 Theorem 1 (Bounded Exposure): No agent exceeded tier budget ceiling",
             "    \u2705 Proposition 2 (Collusion Resistance): Adversarial attempts blocked",
         ]:
             print(line)
+            time.sleep(0.2)
     with api._state_lock:
         api._state["status"] = "done"

server/api.py CHANGED Viewed

@@ -18,6 +18,8 @@ from pathlib import Path
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 app = FastAPI(title="CGAE Live Economy")
 app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
@@ -222,6 +224,15 @@ async def on_startup():
     start_economy(rounds=rounds)
 if __name__ == "__main__":
     import uvicorn
     parser = argparse.ArgumentParser()

 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
 app = FastAPI(title="CGAE Live Economy")
 app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
     start_economy(rounds=rounds)
+# Serve Next.js static export if available (for HF Spaces / single-container deploy)
+_frontend_dir = Path(__file__).resolve().parent.parent / "dashboard-next" / "out"
+if _frontend_dir.exists():
+    @app.get("/")
+    async def serve_index():
+        return FileResponse(str(_frontend_dir / "index.html"))
+    app.mount("/", StaticFiles(directory=str(_frontend_dir), html=True), name="frontend")
 if __name__ == "__main__":
     import uvicorn
     parser = argparse.ArgumentParser()