diff --git a/orchestration.py b/orchestration.py
index 51d4380b..dacbd5c9 100644
--- a/orchestration.py
+++ b/orchestration.py
@@ -19,6 +19,20 @@ huey = SqliteHuey(
 # === Token Tracking ===
 TOKEN_LOG = Path.home() / ".hermes" / "token_usage.jsonl"
 
+try:
+    from scripts.token_budget import can_afford, get_remaining, record_usage
+except ImportError:
+    can_afford = None
+    get_remaining = None
+    record_usage = None
+
+try:
+    from scripts.token_tracker import get_db as get_token_tracker_db
+    from scripts.token_tracker import record_usage as token_tracker_record_usage
+except ImportError:
+    get_token_tracker_db = None
+    token_tracker_record_usage = None
+
 
 def log_token_usage(task_name, result):
     """Log token usage from a completed pipeline task.
@@ -26,7 +40,8 @@ def log_token_usage(task_name, result):
     Reads input_tokens/output_tokens from the agent result dict.
     Auto-detects pipeline name from task context.
     Appends to JSONL for downstream analysis.
-    Also records to token_budget for daily enforcement.
+    Also records to token_budget for daily enforcement and token_tracker for
+    pipeline-level usage reporting.
     """
     if not isinstance(result, dict):
         return
@@ -55,18 +70,37 @@ def log_token_usage(task_name, result):
         f.write(json.dumps(entry) + "\n")
 
     # Record to token budget for daily enforcement
-    try:
-        from scripts.token_budget import record_usage
-        record_usage(pipeline, input_tokens, output_tokens)
-        logger.info(f"Budget updated: {pipeline} +{entry['total_tokens']} tokens")
-    except ImportError:
-        logger.debug("token_budget not available, skipping budget update")
+    if record_usage is not None:
+        try:
+            record_usage(pipeline, input_tokens, output_tokens)
+            logger.info(f"Budget updated: {pipeline} +{entry['total_tokens']} tokens")
+        except ImportError:
+            logger.debug("token_budget not available, skipping budget update")
+
+    # Record to token tracker for pipeline dashboard/alerts
+    if get_token_tracker_db is not None and token_tracker_record_usage is not None:
+        conn = None
+        try:
+            conn = get_token_tracker_db()
+            token_tracker_record_usage(conn, pipeline, task_name, entry["total_tokens"])
+            logger.info(f"Token tracker updated: {pipeline}/{task_name} +{entry['total_tokens']} tokens")
+        except ImportError:
+            logger.debug("token_tracker not available, skipping tracker update")
+        except Exception as exc:
+            logger.warning(f"token_tracker update failed for {pipeline}: {exc}")
+        finally:
+            if conn is not None:
+                close = getattr(conn, "close", None)
+                if callable(close):
+                    close()
 
 
 def check_budget(pipeline: str, estimated_tokens: int) -> bool:
     """Check if there's enough budget for a pipeline run."""
+    if can_afford is None or get_remaining is None:
+        return True  # No budget module = no enforcement
+
     try:
-        from scripts.token_budget import can_afford, get_remaining
         remaining = get_remaining()
         if not can_afford(estimated_tokens):
             logger.warning(
@@ -78,7 +112,6 @@ def check_budget(pipeline: str, estimated_tokens: int) -> bool:
     except ImportError:
         return True  # No budget module = no enforcement
 
-
 @huey.signal(signals.SIGNAL_COMPLETE)
 def on_task_complete(signal, task, task_value=None, **kwargs):
     """Huey hook: log token usage after each pipeline task completes."""
diff --git a/tests/test_orchestration_token_tracking.py b/tests/test_orchestration_token_tracking.py
index 5cf63ef9..21b95f3f 100644
--- a/tests/test_orchestration_token_tracking.py
+++ b/tests/test_orchestration_token_tracking.py
@@ -80,6 +80,20 @@ class TestLogTokenUsage:
         line = json.loads(log_file.read_text().strip())
         assert line["pipeline"] == "knowledge-mine"
 
+    def test_records_to_token_tracker(self, tmp_path):
+        """Should record total tokens to token_tracker for automatic pipeline logging."""
+        log_file = tmp_path / "token_usage.jsonl"
+        mock_conn = MagicMock()
+        mock_tracker = MagicMock()
+        with patch("orchestration.TOKEN_LOG", log_file),              patch("orchestration.record_usage"),              patch("orchestration.get_token_tracker_db", return_value=mock_conn),              patch("orchestration.token_tracker_record_usage", mock_tracker):
+            from orchestration import log_token_usage
+            log_token_usage("knowledge_mine_task", {
+                "input_tokens": 10,
+                "output_tokens": 20,
+            })
+
+        mock_tracker.assert_called_once_with(mock_conn, "knowledge-mine", "knowledge_mine_task", 30)
+
 
 class TestCheckBudget:
     """Test check_budget function."""