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Author SHA1 Message Date
9qeklajc e3ac06342f bump version 2026-07-06 23:00:41 +02:00
9qeklajcandGitHub c81de0de0a Merge pull request #583 from Routstr/fix/cache-pricing-ui
make cache prices configurable
2026-07-04 21:54:30 +02:00
9qeklajc 12c4c1f030 make cache prices configurable 2026-07-04 21:49:05 +02:00
9qeklajcandGitHub 81658d0ba6 Merge pull request #561 from Routstr/fix/refund-truly-empty-responses
fix(payment): refund truly-empty upstream responses billed a non-zero USD cost
2026-07-04 21:42:46 +02:00
9qeklajc ee5ced10c7 refactor(payment): extract shared _empty_cost helper; drop .gitignore change
Address PR #561 review:
- Extract the all-zero refund cost object into _empty_cost(), reused by
  both the no-usage-data path and the truly-empty USD-cost path.
- Revert the .gitignore additions; those belong in a separate PR.
2026-07-04 20:13:01 +02:00
ShroominicandClaude Opus 4.8 e972b62758 fix(payment): refund truly-empty responses with a non-zero USD cost
When an upstream reports a non-zero USD cost but the response carries no
tokens at all (input, output, cache-read and cache-creation all zero), the
USD path billed the full USD-derived amount for an empty response. Return an
all-zero cost (full refund) for that case only.

The gate is tightened relative to the superseded PR #489: a cache-read- or
cache-creation-only turn legitimately reports zero prompt/completion tokens
with a real cost and must still be billed, so the refund only fires when every
token bucket is zero.

Adds unit tests covering both the refund and the still-billed cache-only path.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-20 13:10:24 +08:00
7 changed files with 388 additions and 17 deletions
+1 -1
View File
@@ -1,6 +1,6 @@
[project]
name = "routstr"
version = "0.4.3"
version = "0.4.4"
description = "Payment proxy for your LLM endpoint using cashu and nostr."
readme = "README.md"
requires-python = ">=3.11"
+1 -1
View File
@@ -20,7 +20,7 @@ import subprocess
from functools import lru_cache
from pathlib import Path
BASE_VERSION = "0.4.3"
BASE_VERSION = "0.4.4"
_REPO_ROOT = Path(__file__).resolve().parents[2]
_GIT_TIMEOUT_SECONDS = 2.0
+44 -13
View File
@@ -41,6 +41,28 @@ class CostDataError(BaseModel):
code: str
def _empty_cost(cls: type[CostData] = CostData) -> CostData:
"""Build an all-zero cost object — a full refund for an empty response.
Shared by the two paths that must not bill: an upstream response with no
usage data at all, and one that reports a USD cost but carries zero tokens
in every bucket.
"""
return cls(
base_msats=0,
input_msats=0,
output_msats=0,
total_msats=0,
total_usd=0.0,
input_tokens=0,
output_tokens=0,
cache_read_input_tokens=0,
cache_creation_input_tokens=0,
cache_read_msats=0,
cache_creation_msats=0,
)
async def calculate_cost(
response_data: dict,
max_cost: int,
@@ -83,19 +105,7 @@ async def calculate_cost(
else None,
},
)
return MaxCostData(
base_msats=0,
input_msats=0,
output_msats=0,
total_msats=0,
total_usd=0.0,
input_tokens=0,
output_tokens=0,
cache_read_input_tokens=0,
cache_creation_input_tokens=0,
cache_read_msats=0,
cache_creation_msats=0,
)
return _empty_cost(MaxCostData)
usage_data = response_data.get("usage") or {}
if not isinstance(usage_data, dict):
@@ -109,6 +119,27 @@ async def calculate_cost(
# Try USD cost first
usd_cost = _resolve_usd_cost(usage_data, response_data)
if usd_cost > 0:
truly_empty = (
input_tokens == 0
and output_tokens == 0
and cache_read_tokens == 0
and cache_creation_tokens == 0
)
if truly_empty:
logger.warning(
"Upstream reported a USD cost but the response carries no "
"tokens at all (input, output, cache-read and cache-creation "
"are all zero) — refunding in full rather than billing the "
"USD-derived cost for an empty response.",
extra={
"model": response_data.get("model", "unknown"),
"usd_cost": usd_cost,
"usage_keys": sorted(usage_data.keys())
if isinstance(usage_data, dict)
else None,
},
)
return _empty_cost()
if input_tokens == 0 and output_tokens == 0:
logger.warning(
"Upstream reported a USD cost but no token counts — "
@@ -0,0 +1,229 @@
import json
from datetime import datetime, timedelta, timezone
from unittest.mock import patch
import pytest
from httpx import AsyncClient
from sqlmodel.ext.asyncio.session import AsyncSession
from routstr.core.admin import admin_sessions
from routstr.core.db import ModelRow, UpstreamProviderRow
from routstr.payment.cost_calculation import CostData, calculate_cost
from routstr.proxy import get_model_instance, reinitialize_upstreams
def _admin_headers() -> dict[str, str]:
token = "test-admin-cache-pricing-token"
admin_sessions[token] = int(
(datetime.now(timezone.utc) + timedelta(minutes=5)).timestamp()
)
return {"Authorization": f"Bearer {token}"}
def _model_payload(
provider_id: int,
*,
cache_read: float,
cache_write: float,
) -> dict[str, object]:
return {
"id": "custom-cache-model",
"name": "Custom Cache Model",
"description": "custom model with explicit cache pricing",
"created": 0,
"context_length": 128000,
"architecture": {
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "unknown",
"instruct_type": None,
},
"pricing": {
"prompt": 1.4e-7,
"completion": 2.8e-7,
"input_cache_read": cache_read,
"input_cache_write": cache_write,
"request": 0.0,
"image": 0.0,
"web_search": 0.0,
"internal_reasoning": 0.0,
},
"per_request_limits": None,
"top_provider": None,
"upstream_provider_id": provider_id,
"canonical_slug": None,
"alias_ids": [],
"enabled": True,
"forwarded_model_id": "custom-cache-model",
}
@pytest.mark.integration
@pytest.mark.asyncio
async def test_admin_provider_model_api_persists_cache_pricing_on_create_and_update(
integration_client: AsyncClient,
integration_session: AsyncSession,
) -> None:
provider = UpstreamProviderRow(
provider_type="generic",
base_url="https://custom-upstream.example/v1",
api_key="test-key",
provider_fee=1.0,
)
integration_session.add(provider)
await integration_session.commit()
await integration_session.refresh(provider)
assert provider.id is not None
await reinitialize_upstreams()
headers = _admin_headers()
create_payload = _model_payload(
provider.id,
cache_read=2.8e-9,
cache_write=3.5e-9,
)
with patch("routstr.payment.models.sats_usd_price", return_value=1e-6):
create_response = await integration_client.post(
f"/admin/api/upstream-providers/{provider.id}/models",
headers=headers,
json=create_payload,
)
assert create_response.status_code == 200
create_body = create_response.json()
assert create_body["pricing"]["input_cache_read"] == pytest.approx(2.8e-9)
assert create_body["pricing"]["input_cache_write"] == pytest.approx(3.5e-9)
row = await integration_session.get(ModelRow, ("custom-cache-model", provider.id))
assert row is not None
stored_pricing = json.loads(row.pricing)
assert stored_pricing["input_cache_read"] == pytest.approx(2.8e-9)
assert stored_pricing["input_cache_write"] == pytest.approx(3.5e-9)
update_payload = _model_payload(
provider.id,
cache_read=1.25e-9,
cache_write=4.5e-9,
)
with patch("routstr.payment.models.sats_usd_price", return_value=1e-6):
update_response = await integration_client.post(
f"/admin/api/upstream-providers/{provider.id}/models",
headers=headers,
json=update_payload,
)
assert update_response.status_code == 200
update_body = update_response.json()
assert update_body["pricing"]["input_cache_read"] == pytest.approx(1.25e-9)
assert update_body["pricing"]["input_cache_write"] == pytest.approx(4.5e-9)
await integration_session.refresh(row)
updated_pricing = json.loads(row.pricing)
assert updated_pricing["input_cache_read"] == pytest.approx(1.25e-9)
assert updated_pricing["input_cache_write"] == pytest.approx(4.5e-9)
model = get_model_instance("custom-cache-model")
assert model is not None
assert model.sats_pricing is not None
assert model.sats_pricing.input_cache_read == pytest.approx(0.00125)
assert model.sats_pricing.input_cache_write == pytest.approx(0.0045)
with patch("routstr.payment.cost_calculation.sats_usd_price", return_value=1e-6):
cost = await calculate_cost(
{
"model": "custom-cache-model",
"usage": {
"prompt_tokens": 1000,
"completion_tokens": 100,
"prompt_tokens_details": {"cached_tokens": 800},
},
},
max_cost=1_000_000,
)
assert isinstance(cost, CostData)
assert cost.input_tokens == 200
assert cost.cache_read_input_tokens == 800
assert cost.cache_read_msats == 1000
assert cost.output_msats == 28000
assert cost.input_msats == 29000
assert cost.total_msats == 57000
@pytest.mark.integration
@pytest.mark.asyncio
async def test_upstream_response_cost_uses_model_cache_pricing(
integration_session: AsyncSession,
patched_db_engine: None,
) -> None:
"""A model's configured cache price must discount upstream cached-token usage."""
provider = UpstreamProviderRow(
provider_type="generic",
base_url="https://cache-priced-upstream.example/v1",
api_key="test-key",
provider_fee=1.0,
)
integration_session.add(provider)
await integration_session.commit()
await integration_session.refresh(provider)
assert provider.id is not None
row = ModelRow(
id="cache-priced-model",
name="Cache Priced Model",
description="model seeded with explicit cache pricing",
created=0,
context_length=128000,
architecture=json.dumps(
{
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "unknown",
"instruct_type": None,
}
),
pricing=json.dumps(
{
"prompt": 1.4e-7,
"completion": 2.8e-7,
"input_cache_read": 1.25e-9,
"input_cache_write": 4.5e-9,
}
),
upstream_provider_id=provider.id,
enabled=True,
forwarded_model_id="cache-priced-model",
)
integration_session.add(row)
await integration_session.commit()
with patch("routstr.payment.models.sats_usd_price", return_value=1e-6):
await reinitialize_upstreams()
with patch("routstr.payment.cost_calculation.sats_usd_price", return_value=1e-6):
cost = await calculate_cost(
{
"model": "cache-priced-model",
"usage": {
"prompt_tokens": 1000,
"completion_tokens": 100,
"prompt_tokens_details": {"cached_tokens": 800},
},
},
max_cost=1_000_000,
)
assert isinstance(cost, CostData)
# prompt 1.4e-7 USD/token -> 0.14 sats/token -> 140 msats/token
# cache 1.25e-9 USD/token -> 0.00125 sats/token -> 1.25 msats/token
# completion 2.8e-7 USD/token -> 0.28 sats/token -> 280 msats/token
assert cost.input_tokens == 200
assert cost.cache_read_input_tokens == 800
assert cost.cache_read_msats == 1000
assert cost.input_msats == 29000
assert cost.output_msats == 28000
assert cost.total_msats == 57000
@@ -404,6 +404,67 @@ async def test_deepseek_malformed_hit_tokens_coerce_to_zero() -> None:
assert result.cache_read_input_tokens == 0
# ============================================================================
# Truly-empty response with a non-zero USD cost → full refund
#
# When an upstream reports a USD cost but the response carries NO tokens at all
# (input, output, cache-read and cache-creation all zero), billing the
# USD-derived cost charges the user for nothing. Refund in full. The gate is
# tightened relative to PR #489: a cache-read/-creation-only turn legitimately
# reports zero prompt/completion tokens with a real cost and must still bill.
# ============================================================================
@pytest.mark.asyncio
async def test_truly_empty_usd_cost_response_is_refunded(
mock_fixed_pricing: None,
) -> None:
"""0 input + 0 output + 0 cache tokens with a non-zero USD cost → refund."""
response = {
"model": "gpt-4",
"usage": {
"prompt_tokens": 0,
"completion_tokens": 0,
"total_cost": 0.01, # non-zero USD cost despite no tokens
},
}
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.total_msats == 0 # full refund
assert result.input_msats == 0
assert result.output_msats == 0
assert result.total_usd == 0.0
assert result.input_tokens == 0
assert result.output_tokens == 0
assert result.cache_read_input_tokens == 0
assert result.cache_creation_input_tokens == 0
@pytest.mark.asyncio
async def test_cache_read_only_usd_cost_response_is_billed(
mock_fixed_pricing: None,
) -> None:
"""Cache-read-only turn (0 prompt/completion, non-zero cost) still bills."""
response = {
"model": "claude-3-5-sonnet",
"usage": {
"input_tokens": 0,
"output_tokens": 0,
"cache_read_input_tokens": 1000, # real cached usage
"cache_creation_input_tokens": 0,
"total_cost": 0.01, # non-zero USD cost
},
}
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
# NOT refunded — the USD cost is billed in full. Pinning the exact value
# guards against any future regression that would over-refund a cache-only
# turn (the bug in PR #489, which refunded whenever prompt+completion == 0).
assert result.total_msats == 200000
assert result.total_usd == 0.01
assert result.cache_read_input_tokens == 1000
# ============================================================================
# Test 13: Missing Usage Block
# ============================================================================
@@ -68,6 +68,8 @@ const FormSchema = z.object({
upstream_provider_id: z.string().default(''),
input_cost: z.coerce.number().min(0).default(0),
output_cost: z.coerce.number().min(0).default(0),
cache_read_cost: z.coerce.number().min(0).default(0),
cache_write_cost: z.coerce.number().min(0).default(0),
request_cost: z.coerce.number().min(0).default(0),
image_cost: z.coerce.number().min(0).default(0),
web_search_cost: z.coerce.number().min(0).default(0),
@@ -125,6 +127,8 @@ export function AddProviderModelDialog({
upstream_provider_id: '',
input_cost: 0,
output_cost: 0,
cache_read_cost: 0,
cache_write_cost: 0,
request_cost: 0,
image_cost: 0,
web_search_cost: 0,
@@ -190,6 +194,8 @@ export function AddProviderModelDialog({
: initialData.upstream_provider_id?.toString() || '',
input_cost: pricing?.prompt ?? 0,
output_cost: pricing?.completion ?? 0,
cache_read_cost: pricing?.input_cache_read ?? 0,
cache_write_cost: pricing?.input_cache_write ?? 0,
request_cost: pricing?.request ?? 0,
image_cost: pricing?.image ?? 0,
web_search_cost: pricing?.web_search ?? 0,
@@ -231,6 +237,8 @@ export function AddProviderModelDialog({
upstream_provider_id: '',
input_cost: 0,
output_cost: 0,
cache_read_cost: 0,
cache_write_cost: 0,
request_cost: 0,
image_cost: 0,
web_search_cost: 0,
@@ -294,6 +302,8 @@ export function AddProviderModelDialog({
);
form.setValue('input_cost', pricing?.prompt ?? 0);
form.setValue('output_cost', pricing?.completion ?? 0);
form.setValue('cache_read_cost', pricing?.input_cache_read ?? 0);
form.setValue('cache_write_cost', pricing?.input_cache_write ?? 0);
form.setValue('request_cost', pricing?.request ?? 0);
form.setValue('image_cost', pricing?.image ?? 0);
form.setValue('web_search_cost', pricing?.web_search ?? 0);
@@ -365,6 +375,8 @@ export function AddProviderModelDialog({
pricing: {
prompt: data.input_cost,
completion: data.output_cost,
input_cache_read: data.cache_read_cost,
input_cache_write: data.cache_write_cost,
request: data.request_cost,
image: data.image_cost,
web_search: data.web_search_cost,
@@ -810,6 +822,38 @@ export function AddProviderModelDialog({
</FormItem>
)}
/>
<FormField
control={form.control}
name='cache_read_cost'
render={({ field }) => (
<FormItem>
<FormLabel>Cache Read Cost</FormLabel>
<FormControl>
<Input type='number' step='0.000001' {...field} />
</FormControl>
<FormDescription>
Discounted cached-input read price per 1M tokens.
</FormDescription>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name='cache_write_cost'
render={({ field }) => (
<FormItem>
<FormLabel>Cache Write Cost</FormLabel>
<FormControl>
<Input type='number' step='0.000001' {...field} />
</FormControl>
<FormDescription>
Cached-input creation price per 1M tokens.
</FormDescription>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name='request_cost'
+8 -2
View File
@@ -53,6 +53,8 @@ export const AdminModelPricingSchema = z.object({
image: z.number().optional(),
web_search: z.number().optional(),
internal_reasoning: z.number().optional(),
input_cache_read: z.number().optional(),
input_cache_write: z.number().optional(),
});
export const AdminModelArchitectureSchema = z.object({
@@ -149,7 +151,7 @@ export class AdminService {
if (!pricing) return pricing;
const result = { ...pricing };
// Only prompt and completion are per-token and need scaling to per-1M
// Token-priced fields are stored per-token by the API and shown per-1M in the UI.
const convertField = (field: string) => {
const val = result[field];
if (val !== undefined && val !== null) {
@@ -164,6 +166,8 @@ export class AdminService {
convertField('prompt');
convertField('completion');
convertField('input_cache_read');
convertField('input_cache_write');
// Other fields (request, image, etc.) are already flat fees (per item)
// so we do NOT scale them.
@@ -177,7 +181,7 @@ export class AdminService {
if (!pricing) return pricing;
const result = { ...pricing };
// Only prompt and completion are per-1M in UI and need scaling down to per-token
// Token-priced fields are per-1M in the UI and need scaling down to per-token.
const convertField = (field: string) => {
const val = result[field];
if (val !== undefined && val !== null) {
@@ -190,6 +194,8 @@ export class AdminService {
convertField('prompt');
convertField('completion');
convertField('input_cache_read');
convertField('input_cache_write');
// Other fields stay as flat fees