BrainSteel Fin v1.0 — 3-agent BTC trading pipeline

- Brief: Market Intelligence (Binance data + LLM analysis)
- Decio: Strategy decision (BUY/HOLD/SELL)
- PaperT: Order executor (Binance API)
- Anime-style Flask dashboard
- Traefik-ready Docker deployment

agents/token_tracker.py

@@ -0,0 +1,78 @@
+"""
+BrainSteel Fin — Token Tracker
+Logs LLM token usage per agent per call.
+"""
+import sqlite3, os
+from datetime import datetime, timedelta
+
+COSTS = {
+    "google/gemma-4-31b-it:free": 0.0,
+    "google/gemma-4-26b-a4b-it:free": 0.0,
+    "deepseek/deepseek-v4-flash:free": 0.0,
+    "anthropic/claude-sonnet-4": 3.0,
+    "default": 0.0,
+}
+
+def log_tokens(agent: str, model: str, usage: dict):
+    prompt_t = usage.get("prompt_tokens", 0)
+    completion_t = usage.get("completion_tokens", 0)
+    total_t = usage.get("total_tokens", prompt_t + completion_t)
+    cost = COSTS.get(model, COSTS["default"]) * total_t / 1_000_000
+    db_path = os.path.join(os.path.dirname(__file__), "..", "data", "executions.db")
+    conn = sqlite3.connect(db_path)
+    c = conn.cursor()
+    c.execute(
+        "INSERT INTO token_usage (timestamp, agent, model, prompt_tokens, completion_tokens, total_tokens, cost_usd) VALUES (?,?,?,?,?,?,?)",
+        (datetime.now().isoformat(), agent, model, prompt_t, completion_t, total_t, cost)
+    )
+    conn.commit()
+    conn.close()
+
+def get_token_stats(days: int = 7) -> dict:
+    db_path = os.path.join(os.path.dirname(__file__), "..", "data", "executions.db")
+    conn = sqlite3.connect(db_path)
+    c = conn.cursor()
+    cutoff = (datetime.now() - timedelta(days=days)).isoformat()
+
+    c.execute("""
+        SELECT DATE(timestamp) as day, agent,
+               SUM(prompt_tokens) as p, SUM(completion_tokens) as c, SUM(total_tokens) as t
+        FROM token_usage
+        WHERE timestamp >= ?
+        GROUP BY day, agent
+        ORDER BY day, agent
+    """, (cutoff,))
+    rows = c.fetchall()
+
+    c.execute("""
+        SELECT DATE(timestamp) as day,
+               SUM(prompt_tokens), SUM(completion_tokens), SUM(total_tokens), SUM(cost_usd)
+        FROM token_usage
+        WHERE timestamp >= ?
+        GROUP BY day ORDER BY day
+    """, (cutoff,))
+    daily = c.fetchall()
+
+    c.execute("SELECT SUM(total_tokens), SUM(cost_usd), COUNT(*) FROM token_usage")
+    total = c.fetchone()
+    conn.close()
+
+    agents = ["Brief", "Decio", "PaperT", "Audit"]
+    days_set = sorted(set(r[0] for r in rows))
+    chart_data = []
+    for day in days_set:
+        entry = {"date": day}
+        for ag in agents:
+            row = next((r for r in rows if r[0] == day and r[1] == ag), None)
+            entry[ag] = row[4] if row else 0
+        chart_data.append(entry)
+
+    return {
+        "total_all_time": total[0] or 0,
+        "total_cost_usd": total[1] or 0.0,
+        "total_calls": total[2] or 0,
+        "daily_totals": [{"date": r[0], "prompt": r[1], "completion": r[2], "total": r[3], "cost": r[4]}
+                         for r in daily],
+        "chart_data": chart_data,
+        "agents": agents,
+    }