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12 changes: 12 additions & 0 deletions src/minisweagent/models/portkey_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -167,6 +167,18 @@ def _calculate_cost(self, response) -> dict[str, float]:
f"Completion tokens are None for model {self.config.model_name}. Setting to 0. Full response: {response_for_cost_calc.model_dump()}"
)
completion_tokens = 0
if total_tokens is None:
logger.warning(
f"Total tokens are None for model {self.config.model_name}. Setting to sum of prompt and completion tokens. Full response: {response_for_cost_calc.model_dump()}"
)

# Defense: prompt_tokens and completion_tokens are guaranteed to be non-None here
# because they were set to 0 above if they were None. But we use get_token() to
# be extra safe in case of unexpected API responses.
def get_token(val):
return val if val is not None else 0

total_tokens = get_token(prompt_tokens) + get_token(completion_tokens)
if total_tokens - prompt_tokens - completion_tokens != 0:
# This is most likely related to how portkey treats cached tokens: It doesn't count them towards the prompt tokens (?)
logger.warning(
Expand Down
49 changes: 49 additions & 0 deletions tests/models/test_portkey_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -191,3 +191,52 @@ def test_portkey_model_cost_validation_error():

assert "Error calculating cost" in str(exc_info.value)
assert "MSWEA_COST_TRACKING='ignore_errors'" in str(exc_info.value)


def test_portkey_model_total_tokens_none():
"""Test that None total_tokens is handled gracefully in cost calculation."""
mock_portkey_class = MagicMock()
mock_client = MagicMock()
mock_response = MagicMock()
mock_choice = MagicMock()
mock_message = MagicMock()
mock_usage = MagicMock()
mock_tool_call = MagicMock()

mock_tool_call.id = "call_999"
mock_tool_call.function.name = "bash"
mock_tool_call.function.arguments = json.dumps({"command": "echo test"})
mock_message.tool_calls = [mock_tool_call]
mock_message.content = None
mock_message.model_dump.return_value = {
"role": "assistant",
"content": None,
"tool_calls": [{"id": "call_999", "function": {"name": "bash", "arguments": '{"command": "echo test"}'}}],
}
mock_choice.message = mock_message
mock_response.choices = [mock_choice]
mock_response.model_dump.return_value = {"test": "response"}
mock_response.model_copy.return_value = mock_response
mock_response.usage = mock_usage
mock_usage.prompt_tokens = 10
mock_usage.completion_tokens = 20
# Simulate the bug: total_tokens is None
mock_usage.total_tokens = None

mock_client.chat.completions.create.return_value = mock_response
mock_portkey_class.return_value = mock_client

with patch("minisweagent.models.portkey_model.Portkey", mock_portkey_class):
with patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}):
with patch("minisweagent.models.portkey_model.litellm.cost_calculator.completion_cost") as mock_cost:
mock_cost.return_value = 0.01

model = PortkeyModel(model_name="gpt-4o")
messages = [{"role": "user", "content": "test"}]

# This should not raise a TypeError
result = model.query(messages)

# Verify the result is still correct
assert result["extra"]["actions"] == [{"command": "echo test", "tool_call_id": "call_999"}]
assert result["extra"]["cost"] == 0.01
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