fix: hide_zero_spend now filters models with sub-$0.001 spend

Previously filtered only exact $0.00, which left models with tiny
fractional spend (e.g. $0.0001) visible. Now hides anything below
$0.001 threshold — statistically insignificant noise.

- Changed comparison from == 0 to < 0.001
- Updated docstring and summary text
- Updated README parameter description

README.md

@@ -13,7 +13,7 @@ Get LiteLLM cost breakdown for a date range. Returns per-model and per-day spend
 **Parameters:**
 - `start_date` (str, required): Start date in YYYY-MM-DD format
 - `end_date` (str, required): End date in YYYY-MM-DD format
-- `hide_zero_spend` (bool, default false): Hide models with $0.00 spend. Useful when free-tier or subscription models (e.g. Ollama Cloud) dominate the breakdown with high token counts but zero cost.
+- `hide_zero_spend` (bool, default false): Hide models with sub-$0.001 spend. Useful when free-tier or subscription models (e.g. Ollama Cloud) dominate the breakdown with high token counts but negligible cost.
 
 ### `litellm_history`
 Get recent LiteLLM request history. Returns the most recent N requests with model, call type, status, duration, token counts, cache hit %, and per-request cost. Useful for understanding which models are being called and how much individual requests cost.

litellm_dashboard.py

@@ -125,7 +125,7 @@ class Tools:
         Get LiteLLM cost breakdown for a date range.
         :param start_date: Start date in YYYY-MM-DD format (e.g. "2026-06-01")
         :param end_date: End date in YYYY-MM-DD format (e.g. "2026-06-04")
-        :param hide_zero_spend: Hide models with $0.00 spend (default False). Useful when free-tier or subscription models (e.g. Ollama Cloud) dominate the breakdown with high token counts but zero cost.
+        :param hide_zero_spend: Hide models with sub-$0.001 spend (default False). Useful when free-tier or subscription models (e.g. Ollama Cloud) dominate the breakdown with high token counts but negligible cost.
         Returns formatted cost report with per-model and per-day breakdowns, token counts, cache hit rate, and request stats.
         """
         if not self.valves.litellm_master_key:
@@ -210,7 +210,7 @@ class Tools:
         hidden_count = 0
         for model_name in sorted(model_totals, key=lambda k: model_totals[k]["spend"], reverse=True):
             mt = model_totals[model_name]
-            if hide_zero_spend and mt["spend"] == 0:
+            if hide_zero_spend and mt["spend"] < 0.001:
                 hidden_count += 1
                 continue
             # Strip common provider prefixes for readability
@@ -244,7 +244,7 @@ class Tools:
         lines.append(f'  {"Model":25s} {"Spend":>7s} | {"Requests":>14s} | {"Tokens":>10s}')
         lines.extend(model_lines)
         if hidden_count > 0:
-            lines.append(f"  ... ({hidden_count} model(s) with $0.00 spend hidden)")
+            lines.append(f"  ... ({hidden_count} model(s) with sub-$0.001 spend hidden)")
         lines.append("")
         lines.append("By Date:")
         lines.extend(date_lines)