feat: cost label showing spend and the next send's projection

Three states stay distinct: blank for a free local model, ? for a cloud
model whose prices were never entered, and a figure when they were.
Collapsing the first two would make an unpriced cloud model read as free.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

1 files changed, 31 insertions, 0 deletions

diff --git a/test_llamachat.py b/test_llamachat.py
index b561b66..18b6f0a 100755
--- a/test_llamachat.py
+++ b/test_llamachat.py
@@ -2025,6 +2025,36 @@ def test_model_dialog_values():
     print("ok  model dialog value conversion")
 
 
+def test_cost_label_text():
+    """The label distinguishes free, unpriced, and a real figure."""
+    from llamachat import ui
+
+    # A local model costs nothing, so the label says nothing.
+    assert ui.cost_text(spent=0.0, projected=0.0, billable=False, priced=False) == ""
+
+    # A cloud model whose price was never entered: ? rather than blank, so
+    # it cannot be mistaken for free.
+    assert ui.cost_text(
+        spent=0.0, projected=0.0, billable=True, priced=False
+    ) == "?"
+
+    # Spent so far, with nothing composed yet.
+    assert ui.cost_text(
+        spent=0.043, projected=0.0, billable=True, priced=True
+    ) == "$0.043"
+
+    # Spent plus what sending the draft would add, kept visually separate.
+    assert ui.cost_text(
+        spent=0.043, projected=0.011, billable=True, priced=True
+    ) == "$0.043 +$0.011"
+
+    # A fresh conversation on a priced model still shows the projection.
+    assert ui.cost_text(
+        spent=0.0, projected=0.002, billable=True, priced=True
+    ) == "$0.000 +$0.002"
+    print("ok  cost label text")
+
+
 class _FakeResponse:
     """Enough of an http.client response for urlopen's context manager."""
 
@@ -2788,6 +2818,7 @@ if __name__ == "__main__":
     test_client_auth_header()
     test_multi_client()
     test_model_dialog_values()
+    test_cost_label_text()
     test_search_tool_schema()
     test_search_results_sanitising()
     test_tool_call_accumulation()