mirror of
https://github.com/Routstr/routstr-core.git
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265 lines
9.0 KiB
Python
265 lines
9.0 KiB
Python
import os
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from typing import Any
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from unittest.mock import AsyncMock, Mock, patch
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# Set required env vars before importing
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os.environ["UPSTREAM_BASE_URL"] = "http://test"
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os.environ["UPSTREAM_API_KEY"] = "test"
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from routstr.core.settings import settings # noqa: E402
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from routstr.payment.helpers import get_max_cost_for_model # noqa: E402
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async def test_get_max_cost_for_model_known() -> None:
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from routstr.payment.models import Pricing
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# Mock DB session behavior
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mock_session = AsyncMock()
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# Mock upstream provider rows
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mock_provider_result = Mock()
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mock_provider_result.all = Mock(return_value=[])
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# Mock model row with proper JSON fields
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row = Mock()
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row.id = "gpt-4"
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row.name = "GPT-4"
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row.created = 1234567890
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row.description = "Test model"
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row.context_length = 8192
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row.architecture = '{"modality": "text", "input_modalities": ["text"], "output_modalities": ["text"], "tokenizer": "gpt", "instruct_type": null}'
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row.pricing = '{"prompt": 0.0, "completion": 0.0, "request": 0.0, "image": 0.0, "web_search": 0.0, "internal_reasoning": 0.0, "max_cost": 0.0}'
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row.per_request_limits = None
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row.top_provider = None
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row.enabled = True
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row.upstream_provider_id = 1
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# Mock the exec results to return model row when querying for override
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def mock_exec(query: Any) -> Any:
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result = Mock()
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result.first = Mock(return_value=row)
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result.all = Mock(return_value=[row])
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return result
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mock_session.exec = Mock(side_effect=mock_exec)
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# Mock get for UpstreamProviderRow
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mock_provider = Mock()
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mock_provider.provider_fee = 1.01
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mock_session.get = Mock(return_value=mock_provider)
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# Mock the model with sats_pricing
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mock_pricing = Pricing(
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prompt=0.0,
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completion=0.0,
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request=0.0,
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image=0.0,
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web_search=0.0,
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internal_reasoning=0.0,
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max_cost=500.0,
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)
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mock_model = Mock()
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mock_model.sats_pricing = mock_pricing
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with patch.object(settings, "fixed_pricing", False):
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with patch.object(settings, "tolerance_percentage", 0):
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cost = await get_max_cost_for_model(
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"gpt-4", session=mock_session, model_obj=mock_model
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)
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assert cost == 500000 # 500 sats * 1000 = msats
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async def test_get_max_cost_for_model_unknown() -> None:
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mock_session = AsyncMock()
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# Mock the exec results to return no model override
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async def async_mock_exec(query: Any) -> Any:
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result = Mock()
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result.first = Mock(return_value=None)
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result.all = Mock(return_value=[])
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return result
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mock_session.exec = AsyncMock(side_effect=async_mock_exec)
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mock_session.get = AsyncMock(return_value=None)
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# Mock get_upstreams to return empty list
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with patch("routstr.proxy.get_upstreams", return_value=[]):
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with patch.object(settings, "fixed_cost_per_request", 100):
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with patch.object(settings, "tolerance_percentage", 0):
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cost = await get_max_cost_for_model(
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"unknown-model", session=mock_session, model_obj=None
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)
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assert cost == 100000
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async def test_get_max_cost_for_model_disabled() -> None:
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mock_session = AsyncMock()
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with patch.object(settings, "fixed_pricing", True):
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with patch.object(settings, "fixed_cost_per_request", 200):
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with patch.object(settings, "tolerance_percentage", 0):
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cost = await get_max_cost_for_model("any-model", session=mock_session)
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assert cost == 200000
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async def test_get_max_cost_for_model_tolerance() -> None:
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from routstr.payment.models import Pricing
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mock_session = AsyncMock()
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# Mock the model with sats_pricing
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mock_pricing = Pricing(
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prompt=0.0,
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completion=0.0,
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request=0.0,
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image=0.0,
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web_search=0.0,
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internal_reasoning=0.0,
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max_cost=500.0,
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)
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mock_model = Mock()
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mock_model.sats_pricing = mock_pricing
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with patch.object(settings, "fixed_pricing", False):
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with patch.object(settings, "tolerance_percentage", 10):
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cost = await get_max_cost_for_model(
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"gpt-4", session=mock_session, model_obj=mock_model
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)
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assert cost == 450000 # 500 sats * 1000 * 0.9 = 450000
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async def test_discounted_max_cost_floors_at_min_request_msat() -> None:
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from routstr.payment.helpers import calculate_discounted_max_cost
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pricing = Mock()
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pricing.prompt = 0.001
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pricing.completion = 0.001
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pricing.max_prompt_cost = 100.0
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pricing.max_completion_cost = 100.0
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model_obj = Mock()
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model_obj.sats_pricing = pricing
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model_obj.top_provider = None
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model_obj.context_length = None
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body = {
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"model": "test-model",
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"messages": [{"role": "user", "content": "hi"}],
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"max_tokens": 1,
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}
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with (
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patch.object(settings, "fixed_pricing", False),
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patch.object(settings, "tolerance_percentage", 0),
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patch.object(settings, "min_request_msat", 1000),
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):
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cost = await calculate_discounted_max_cost(150_000, body, model_obj)
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assert cost == 1000
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def test_estimate_prompt_tokens_counts_every_string_in_the_body() -> None:
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from routstr.payment.helpers import estimate_prompt_tokens, estimate_tokens
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hidden = "x" * 3_000 # ~1000 tokens of prompt hidden from the text estimator
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body: dict[str, Any] = {
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"messages": [{"role": "user", "content": "hi"}],
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"tools": [
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{
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"type": "function",
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"function": {
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"name": "f",
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"description": hidden,
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"parameters": {"type": "object", "properties": {hidden: {}}},
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},
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}
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],
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}
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# The text-only estimator sees almost nothing; the conservative one sees it.
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assert estimate_tokens(body["messages"]) < 10
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assert estimate_prompt_tokens(body) >= 1_000
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# No carve-out is exempt: neither a caller-chosen key name nor a caller-chosen
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# value prefix can buy a discount, so both still count in full.
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assert estimate_prompt_tokens({"tools": [{"data": hidden}]}) >= 1_000
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assert estimate_prompt_tokens({"system": "data:" + hidden}) >= 1_000
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async def test_discount_cannot_be_dodged_by_hiding_prompt_in_tools() -> None:
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"""A large prompt moved from messages into tool schemas must reserve the
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same cost — otherwise a caller undercharges by hiding weight from the
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estimator."""
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from routstr.payment.helpers import calculate_discounted_max_cost
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pricing = Mock()
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pricing.prompt = 0.5
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pricing.completion = 0.01
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pricing.max_prompt_cost = 100.0
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pricing.max_completion_cost = 100.0
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model_obj = Mock()
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model_obj.sats_pricing = pricing
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model_obj.top_provider = None
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model_obj.context_length = None
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big_text = "word " * 2_000
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base = {"model": "test-model", "max_tokens": 10}
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in_messages = {
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**base,
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"messages": [{"role": "user", "content": big_text}],
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}
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hiding_places = {
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"tools": {
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**base,
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"messages": [{"role": "user", "content": "hi"}],
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"tools": [
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{"type": "function", "function": {"name": "f", "description": big_text}}
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],
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},
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# Anthropic forwards a top-level system prompt; it is billed like any other.
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"system": {
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**base,
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"messages": [{"role": "user", "content": "hi"}],
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"system": big_text,
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},
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# A key named like an image field must not win an image exclusion.
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"image-named key": {
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**base,
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"messages": [{"role": "user", "content": "hi"}],
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"tools": [{"function": {"parameters": {"data": big_text}}}],
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},
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# Nor may a caller-chosen "data:" prefix, in any field the body allows.
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"data-prefixed content": {
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**base,
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"messages": [{"role": "user", "content": "data:" + big_text}],
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},
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"data-prefixed text block": {
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**base,
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"messages": [
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{
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"role": "user",
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"content": [{"type": "text", "text": "data:" + big_text}],
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}
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],
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},
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"data-prefixed system": {
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**base,
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"messages": [{"role": "user", "content": "hi"}],
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"system": "data:" + big_text,
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},
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}
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with (
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patch.object(settings, "fixed_pricing", False),
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patch.object(settings, "tolerance_percentage", 0),
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patch.object(settings, "min_request_msat", 1000),
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):
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cost_messages = await calculate_discounted_max_cost(
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150_000, in_messages, model_obj
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)
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for where, body in hiding_places.items():
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cost = await calculate_discounted_max_cost(150_000, body, model_obj)
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# Same prompt weight → at least the same reservation, never the floor.
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assert cost >= cost_messages, where
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assert cost > 1000, where
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