Broker usage: expose all_time_spend (member's lifetime total from SpendLogs) in both DB and HTTP paths

app/main.py

@@ -2152,6 +2152,22 @@ async def broker_get_usage(email: str, days: int = 0) -> dict:
                 spend = float(team["spend"] or 0.0)
                 reset_at = team["budget_reset_at"]
             usage = aggregate_model_usage(days=days, team_id=team_id)
+            # All-time spend for this member: total of their spend-log rows
+            # (the team `spend` counter resets with their allowance period).
+            all_time_spend = 0.0
+            try:
+                conn = _pg_connect()
+                try:
+                    with conn.cursor() as cur:
+                        cur.execute(
+                            'SELECT COALESCE(SUM(spend), 0) FROM "LiteLLM_SpendLogs" WHERE team_id = %s',
+                            (team_id,),
+                        )
+                        all_time_spend = float(cur.fetchone()[0] or 0.0)
+                finally:
+                    conn.close()
+            except Exception as e:
+                logger.warning("broker_get_usage: all-time spend query failed: %s", e)
             model_list = [
                 {"model": m["model"], "spend": m["spend"], "tokens": m["tokens"],
                  "calls": m["requests"]}
@@ -2163,6 +2179,7 @@ async def broker_get_usage(email: str, days: int = 0) -> dict:
                 "allowance": allowance,
                 "credits": credits,
                 "spend": spend,
+                "all_time_spend": round(all_time_spend, 2),
                 "remaining": max(balance - spend, 0.0),
                 "total_tokens": usage["totals"]["total_tokens"],
                 "reset_at": reset_at,
@@ -2219,6 +2236,9 @@ async def broker_get_usage(email: str, days: int = 0) -> dict:
         except Exception as e:  # spend logs are best-effort; don't fail the whole view
             logger.warning("spend/logs fetch failed: %s", e)
 
+        # All-time spend from the same log rows (team counter is period-only).
+        all_time_spend = round(sum(m["spend"] for m in models.values()), 2)
+
     # Sort models by spend descending (which models are draining the most).
     model_list = [
         {"model": name, **stats}
@@ -2231,6 +2251,7 @@ async def broker_get_usage(email: str, days: int = 0) -> dict:
         "allowance": allowance,
         "credits": credits,
         "spend": spend,
+        "all_time_spend": all_time_spend,
         "remaining": max(balance - spend, 0.0),
         "total_tokens": total_tokens,
         "reset_at": reset_at,