mirror of
https://github.com/usestrix/strix.git
synced 2026-08-19 18:13:34 +02:00
247 lines
8.8 KiB
Python
247 lines
8.8 KiB
Python
"""Tests for provider-reported LLM cost capture."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from types import SimpleNamespace
|
|
from unittest.mock import MagicMock, patch
|
|
|
|
import litellm
|
|
import pytest
|
|
|
|
import strix.report.state as state_module
|
|
from strix.config.models import (
|
|
_configure_litellm_compatibility,
|
|
_install_openrouter_stream_cost_capture,
|
|
)
|
|
from strix.report.state import (
|
|
litellm_cost_callback,
|
|
openrouter_stream_cost,
|
|
remember_streamed_openrouter_cost,
|
|
)
|
|
|
|
|
|
@pytest.fixture(autouse=True)
|
|
def _clear_streamed_costs() -> None:
|
|
state_module._streamed_openrouter_costs.clear()
|
|
|
|
|
|
def test_streaming_logging_stays_enabled_for_cost_callback() -> None:
|
|
with (
|
|
patch.object(litellm, "disable_streaming_logging", new=True),
|
|
patch("strix.config.models._register_litellm_cost_callback") as register,
|
|
):
|
|
_configure_litellm_compatibility()
|
|
assert litellm.disable_streaming_logging is False
|
|
register.assert_called_once_with()
|
|
|
|
|
|
def test_cost_callback_reads_openrouter_stream_usage_cost() -> None:
|
|
report_state = MagicMock()
|
|
response = SimpleNamespace(
|
|
usage=SimpleNamespace(cost=1.2345),
|
|
_hidden_params={},
|
|
)
|
|
|
|
with patch("strix.report.state.get_global_report_state", return_value=report_state):
|
|
litellm_cost_callback({"response_cost": None}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(1.2345)
|
|
|
|
|
|
def test_cost_callback_reads_usage_cost_from_mapping_response() -> None:
|
|
report_state = MagicMock()
|
|
response = {"usage": {"cost": 0.125}}
|
|
|
|
with patch("strix.report.state.get_global_report_state", return_value=report_state):
|
|
litellm_cost_callback({}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(0.125)
|
|
|
|
|
|
def test_cost_callback_reads_byok_upstream_inference_cost() -> None:
|
|
report_state = MagicMock()
|
|
response = SimpleNamespace(
|
|
usage=SimpleNamespace(
|
|
cost=0,
|
|
is_byok=True,
|
|
cost_details=SimpleNamespace(upstream_inference_cost=6.75e-06),
|
|
),
|
|
_hidden_params={},
|
|
)
|
|
|
|
with patch("strix.report.state.get_global_report_state", return_value=report_state):
|
|
litellm_cost_callback({"response_cost": None}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(6.75e-06)
|
|
|
|
|
|
def test_cost_callback_sums_usage_cost_and_upstream_inference_cost() -> None:
|
|
report_state = MagicMock()
|
|
response = {
|
|
"usage": {
|
|
"cost": 0.01,
|
|
"is_byok": True,
|
|
"cost_details": {"upstream_inference_cost": 0.2},
|
|
}
|
|
}
|
|
|
|
with patch("strix.report.state.get_global_report_state", return_value=report_state):
|
|
litellm_cost_callback({}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(pytest.approx(0.21))
|
|
|
|
|
|
def test_cost_callback_ignores_upstream_cost_for_non_byok_responses() -> None:
|
|
report_state = MagicMock()
|
|
response = {
|
|
"usage": {
|
|
"cost": 0.05,
|
|
"is_byok": False,
|
|
"cost_details": {"upstream_inference_cost": 0.04},
|
|
}
|
|
}
|
|
|
|
with patch("strix.report.state.get_global_report_state", return_value=report_state):
|
|
litellm_cost_callback({}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(0.05)
|
|
|
|
|
|
def test_cost_callback_estimates_cost_with_provider_prefixed_model() -> None:
|
|
report_state = MagicMock()
|
|
response = {"usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15}}
|
|
kwargs = {
|
|
"response_cost": None,
|
|
"model": "anthropic/claude-sonnet-4.5",
|
|
"litellm_params": {"custom_llm_provider": "openrouter"},
|
|
}
|
|
|
|
def fake_completion_cost(**kwargs: object) -> float:
|
|
if kwargs["model"] == "openrouter/anthropic/claude-sonnet-4.5":
|
|
return 0.5
|
|
raise ValueError(kwargs["model"])
|
|
|
|
with (
|
|
patch("strix.report.state.get_global_report_state", return_value=report_state),
|
|
patch("litellm.completion_cost", side_effect=fake_completion_cost),
|
|
):
|
|
litellm_cost_callback(kwargs, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(0.5)
|
|
|
|
|
|
def test_cost_callback_estimates_cost_with_bare_model_fallback() -> None:
|
|
report_state = MagicMock()
|
|
response = {"usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15}}
|
|
kwargs = {
|
|
"response_cost": None,
|
|
"model": "openai/gpt-4o-mini",
|
|
"litellm_params": {"custom_llm_provider": "openrouter"},
|
|
}
|
|
|
|
def fake_completion_cost(**kwargs: object) -> float:
|
|
if kwargs["model"] == "gpt-4o-mini":
|
|
return 0.025
|
|
raise ValueError(kwargs["model"])
|
|
|
|
with (
|
|
patch("strix.report.state.get_global_report_state", return_value=report_state),
|
|
patch("litellm.completion_cost", side_effect=fake_completion_cost),
|
|
):
|
|
litellm_cost_callback(kwargs, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(0.025)
|
|
|
|
|
|
def test_cost_callback_records_nothing_when_no_cost_available() -> None:
|
|
report_state = MagicMock()
|
|
response = {"usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15}}
|
|
|
|
with (
|
|
patch("strix.report.state.get_global_report_state", return_value=report_state),
|
|
patch("litellm.completion_cost", side_effect=ValueError("unknown model")),
|
|
):
|
|
litellm_cost_callback({"response_cost": None, "model": "x/y"}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_not_called()
|
|
|
|
|
|
def test_openrouter_stream_cost_extracts_plain_and_byok_totals() -> None:
|
|
assert openrouter_stream_cost({"cost": 0.003168}) == pytest.approx(0.003168)
|
|
assert openrouter_stream_cost(
|
|
{"cost": 0.01, "is_byok": True, "cost_details": {"upstream_inference_cost": 0.2}}
|
|
) == pytest.approx(0.21)
|
|
# Upstream cost is only added for BYOK responses.
|
|
assert openrouter_stream_cost(
|
|
{"cost": 0.05, "is_byok": False, "cost_details": {"upstream_inference_cost": 0.04}}
|
|
) == pytest.approx(0.05)
|
|
assert openrouter_stream_cost({"prompt_tokens": 10}) is None
|
|
assert openrouter_stream_cost(None) is None
|
|
|
|
|
|
def test_cost_callback_recovers_streamed_openrouter_cost_by_response_id() -> None:
|
|
report_state = MagicMock()
|
|
remember_streamed_openrouter_cost("gen-abc", {"cost": 0.42})
|
|
# LiteLLM strips cost from the rebuilt streamed usage; only the id survives.
|
|
response = SimpleNamespace(id="gen-abc", usage=SimpleNamespace(cost=None), _hidden_params={})
|
|
|
|
with (
|
|
patch("strix.report.state.get_global_report_state", return_value=report_state),
|
|
patch("litellm.completion_cost", side_effect=ValueError("unknown model")),
|
|
):
|
|
litellm_cost_callback({"response_cost": None, "model": "moonshotai/kimi-k3"}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(0.42)
|
|
# The entry is consumed so a later response cannot double-count it.
|
|
assert "gen-abc" not in state_module._streamed_openrouter_costs
|
|
|
|
|
|
def test_streamed_openrouter_cost_prefers_provider_report_over_estimate() -> None:
|
|
report_state = MagicMock()
|
|
remember_streamed_openrouter_cost("gen-xyz", {"cost": 0.9})
|
|
response = SimpleNamespace(
|
|
id="gen-xyz",
|
|
usage=SimpleNamespace(prompt_tokens=10, completion_tokens=5, total_tokens=15),
|
|
_hidden_params={},
|
|
)
|
|
|
|
with (
|
|
patch("strix.report.state.get_global_report_state", return_value=report_state),
|
|
patch("litellm.completion_cost", return_value=0.1) as estimate,
|
|
):
|
|
litellm_cost_callback({"response_cost": None, "model": "moonshotai/kimi-k3"}, response)
|
|
|
|
report_state.record_observed_llm_cost.assert_called_once_with(0.9)
|
|
estimate.assert_not_called()
|
|
|
|
|
|
def test_remember_streamed_openrouter_cost_evicts_oldest_over_limit() -> None:
|
|
limit = state_module._STREAMED_OPENROUTER_COST_LIMIT
|
|
for i in range(limit + 5):
|
|
remember_streamed_openrouter_cost(f"gen-{i}", {"cost": 0.001})
|
|
|
|
assert len(state_module._streamed_openrouter_costs) == limit
|
|
assert "gen-0" not in state_module._streamed_openrouter_costs
|
|
assert f"gen-{limit + 4}" in state_module._streamed_openrouter_costs
|
|
|
|
|
|
def test_openrouter_stream_handler_records_cost() -> None:
|
|
_install_openrouter_stream_cost_capture()
|
|
handler_cls = (
|
|
litellm.OpenrouterConfig()
|
|
.get_model_response_iterator(streaming_response=iter([]), sync_stream=True)
|
|
.__class__
|
|
)
|
|
|
|
chunk = {
|
|
"id": "gen-stream",
|
|
"created": 1,
|
|
"model": "moonshotai/kimi-k3",
|
|
"choices": [{"index": 0, "delta": {"content": None}}],
|
|
"usage": {"prompt_tokens": 89, "completion_tokens": 138, "cost": 0.0035055},
|
|
}
|
|
handler = handler_cls(streaming_response=iter([]), sync_stream=True)
|
|
handler.chunk_parser(chunk)
|
|
|
|
assert state_module._streamed_openrouter_costs["gen-stream"] == pytest.approx(0.0035055)
|