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Author SHA1 Message Date
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The gate is tightened relative to the superseded PR #489: a cache-read- or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
9 changed files with 115 additions and 337 deletions
-6
View File
@@ -24,7 +24,6 @@ from ..payment.models import models_router, update_sats_pricing
from ..payment.price import update_prices_periodically
from ..proxy import initialize_upstreams, proxy_router, refresh_model_maps_periodically
from ..upstream.auto_topup import periodic_auto_topup
from ..upstream.deepseek_v4_pricing_shim import register_deepseek_v4_pricing
from ..upstream.litellm_routing import configure_litellm
from ..wallet import periodic_payout, periodic_refund_sweep, periodic_routstr_fee_payout
from .admin import admin_router
@@ -66,11 +65,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
# debug logging) before any upstream provider dispatches a request.
configure_litellm()
# TEMPORARY: backfill DeepSeek V4 pricing missing from litellm's cost
# map (BerriAI/litellm#30430). Remove this call and
# deepseek_v4_pricing_shim.py once litellm ships these models.
register_deepseek_v4_pricing()
# Run database migrations on startup
run_migrations()
+46 -26
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 — "
@@ -418,21 +449,10 @@ def _calculate_from_tokens(
},
)
# Fold the cache-read/write cost into the visible ``input_msats`` so a
# dashboard that renders I / O / T sees ``input + output == total``
# exactly. This mirrors ``_fold_cache_into_input_tokens`` (which rolls the
# cache token counts into the visible prompt total). The standalone
# ``cache_read_msats`` / ``cache_creation_msats`` fields stay populated for
# clients that want the breakdown; nothing sums the components to derive
# ``total_msats`` (it is computed independently above), so this is
# display-only and does not change what is billed.
visible_output_msats = int(calc_output_msats)
visible_input_msats = token_based_cost - visible_output_msats
return CostData(
base_msats=0,
input_msats=visible_input_msats,
output_msats=visible_output_msats,
input_msats=int(calc_input_msats),
output_msats=int(calc_output_msats),
total_msats=token_based_cost,
total_usd=total_usd,
input_tokens=input_tokens,
+6 -33
View File
@@ -766,9 +766,7 @@ class BaseUpstreamProvider:
except Exception:
pass
def _process_event(
raw_event: bytes, final: bool = False
) -> Iterator[bytes]:
def _process_event(raw_event: bytes) -> Iterator[bytes]:
"""Process one complete SSE event block (lines up to a blank line).
Handles arbitrary upstream framing across every supported
@@ -874,12 +872,6 @@ class BaseUpstreamProvider:
return
yield prefix + b"data: " + json.dumps(obj).encode() + b"\n\n"
else:
if final:
# Final flush of a truncated tail: the upstream closed
# mid-event, so ``data`` is incomplete JSON. Emitting it
# as a ``data:`` frame would hand the client invalid
# JSON (the "unexpected token" parse error). Drop it.
return
# Non-JSON data payload (partial fragment already reassembled
# by buffering, or a provider control string). Re-prefix each
# line so multi-line ``data`` stays valid SSE framing - a bare
@@ -898,13 +890,7 @@ class BaseUpstreamProvider:
# boundary-independent for every provider.
buffer = b""
async for chunk in response.aiter_bytes():
# Normalize the *joined* buffer, not each chunk in
# isolation: a CRLF event delimiter can straddle two
# ``aiter_bytes`` chunks (``...\r`` then ``\n...``). A
# per-chunk replace would leave a stray ``\r`` and the
# ``\n\n`` split would miss the delimiter, merging two
# events into one frame and breaking SSE clients.
buffer = (buffer + chunk).replace(b"\r\n", b"\n")
buffer += chunk.replace(b"\r\n", b"\n")
while b"\n\n" in buffer:
raw_event, buffer = buffer.split(b"\n\n", 1)
for out in _process_event(raw_event):
@@ -912,7 +898,7 @@ class BaseUpstreamProvider:
# Flush any trailing event that lacked a final blank line.
if buffer.strip():
for out in _process_event(buffer, final=True):
for out in _process_event(buffer):
yield out
async with create_session() as session:
@@ -1218,9 +1204,7 @@ class BaseUpstreamProvider:
except Exception:
pass
def _process_event(
raw_event: bytes, final: bool = False
) -> Iterator[bytes]:
def _process_event(raw_event: bytes) -> Iterator[bytes]:
"""Process one complete SSE event block for the Responses API.
Buffers full events (delimited by a blank line) so parsing is
@@ -1290,11 +1274,6 @@ class BaseUpstreamProvider:
yield prefix + b"data: " + json.dumps(obj).encode() + b"\n\n"
else:
if final:
# Final flush of a truncated tail: upstream closed
# mid-event, so ``data`` is incomplete JSON. Dropping it
# avoids handing the client an invalid ``data:`` frame.
return
# Re-prefix each line so multi-line ``data`` stays valid SSE
# framing for the client.
body = b"".join(
@@ -1307,20 +1286,14 @@ class BaseUpstreamProvider:
# delimiter so parsing is independent of byte boundaries.
buffer = b""
async for chunk in response.aiter_bytes():
# Normalize the *joined* buffer, not each chunk in
# isolation: a CRLF event delimiter can straddle two
# ``aiter_bytes`` chunks (``...\r`` then ``\n...``). A
# per-chunk replace would leave a stray ``\r`` and the
# ``\n\n`` split would miss the delimiter, merging two
# events into one frame and breaking SSE clients.
buffer = (buffer + chunk).replace(b"\r\n", b"\n")
buffer += chunk.replace(b"\r\n", b"\n")
while b"\n\n" in buffer:
raw_event, buffer = buffer.split(b"\n\n", 1)
for out in _process_event(raw_event):
yield out
if buffer.strip():
for out in _process_event(buffer, final=True):
for out in _process_event(buffer):
yield out
# Always emit a cost-bearing data chunk
@@ -1,66 +0,0 @@
"""TEMPORARY: local DeepSeek V4 pricing shim.
litellm's bundled cost map does not yet ship ``deepseek-v4-flash`` /
``deepseek-v4-pro``. Without an entry, ``backfill_cache_pricing`` cannot find a
``cache_read_input_token_cost`` and cache reads fall back to the full input
rate — a ~60% overcharge on cache hits (DeepSeek hits are ~0.2x input).
This module injects the missing entries into ``litellm.model_cost`` at startup
so the existing backfill path resolves them. Rates mirror the open upstream PR
https://github.com/BerriAI/litellm/pull/26380 (issue
https://github.com/BerriAI/litellm/issues/30430).
=== REMOVAL (once litellm ships these models) ===
Delete this file and the single ``register_deepseek_v4_pricing()`` call in
``routstr/core/main.py``. Nothing else depends on it. Entries are only added
when absent, so a stale shim is harmless after upstream lands — but remove it.
"""
import litellm
from ..core import get_logger
logger = get_logger(__name__)
# USD per token. Source: BerriAI/litellm PR #26380.
_DEEPSEEK_V4_RATES: dict[str, dict[str, float]] = {
"deepseek-v4-flash": {
"input_cost_per_token": 1.4e-07,
"output_cost_per_token": 2.8e-07,
"cache_read_input_token_cost": 2.8e-08,
"cache_creation_input_token_cost": 0.0,
"input_cost_per_token_cache_hit": 2.8e-08,
},
"deepseek-v4-pro": {
"input_cost_per_token": 1.74e-06,
"output_cost_per_token": 3.48e-06,
"cache_read_input_token_cost": 1.4e-07,
"cache_creation_input_token_cost": 0.0,
"input_cost_per_token_cache_hit": 1.4e-07,
},
}
def register_deepseek_v4_pricing() -> None:
"""Inject DeepSeek V4 pricing into ``litellm.model_cost`` if absent.
Idempotent and non-destructive: a key already present in the cost map
(e.g. once litellm ships it) is left untouched. Registers both the bare
(``deepseek-v4-flash``) and prefixed (``deepseek/deepseek-v4-flash``)
spellings since ``backfill_cache_pricing`` tries both.
"""
added = []
for bare, rates in _DEEPSEEK_V4_RATES.items():
for key in (bare, f"deepseek/{bare}"):
if key in litellm.model_cost:
continue
entry: dict[str, object] = dict(rates)
entry["litellm_provider"] = "deepseek"
entry["mode"] = "chat"
litellm.model_cost[key] = entry
added.append(key)
if added:
logger.info(
"Registered temporary DeepSeek V4 pricing shim",
extra={"models": added},
)
-33
View File
@@ -1,4 +1,3 @@
import json
from typing import TYPE_CHECKING
import httpx
@@ -19,38 +18,6 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
supports_anthropic_messages = True
litellm_provider_prefix = "openrouter/"
def prepare_request_body(
self, body: bytes | None, model_obj: Model
) -> bytes | None:
"""Set provider.require_parameters on tool-use requests.
Without it OpenRouter can route a tool call to an endpoint that doesn't
support function calling and 404 with "No endpoints found that support
tool use". We leave a client-supplied value untouched.
"""
body = super().prepare_request_body(body, model_obj)
if not body:
return body
try:
data = json.loads(body)
except json.JSONDecodeError:
return body
if not isinstance(data, dict) or not data.get("tools"):
return body
provider = data.get("provider")
if not isinstance(provider, dict):
provider = {}
if "require_parameters" in provider:
return body
provider["require_parameters"] = True
data["provider"] = provider
return json.dumps(data).encode()
def _apply_provider_field(self, response_json: object) -> None:
"""Stamp the ``provider`` field for OpenRouter responses.
+2 -6
View File
@@ -181,14 +181,10 @@ async def test_deepseek_cache_hits_billed_at_cache_rate(model_pricing: Mock) ->
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
# 1000 input @ 1 msat + 9000 cache reads @ 0.1 msat + 500 output @ 2 msat.
# input_msats folds the cache-read cost in (1000 + 900) so a dashboard
# rendering I/O/T sees input + output == total; the cache portion stays
# visible in cache_read_msats.
# 1000 input @ 1 msat + 9000 cache reads @ 0.1 msat + 500 output @ 2 msat
assert result.input_msats == 1000
assert result.cache_read_msats == 900
assert result.output_msats == 1000
assert result.input_msats == 1900
assert result.input_msats + result.output_msats == result.total_msats
assert result.total_msats == 2900
@@ -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
# ============================================================================
-95
View File
@@ -1,95 +0,0 @@
import json
import os
os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
os.environ.setdefault("UPSTREAM_API_KEY", "test")
os.environ.setdefault("LIGHTNING_ADDRESS", "test@stm.to")
from routstr.upstream import GenericUpstreamProvider
from routstr.upstream.openrouter import OpenRouterUpstreamProvider
def _model(model_id: str = "openai/gpt-4o"): # type: ignore[no-untyped-def]
from routstr.payment.models import Architecture, Model, Pricing
return Model(
id=model_id,
name=model_id,
created=0,
description="",
context_length=128000,
architecture=Architecture(
modality="text->text",
input_modalities=["text"],
output_modalities=["text"],
tokenizer="GPT",
instruct_type=None,
),
pricing=Pricing(prompt=0.0, completion=0.0),
)
def _tool_body() -> dict:
return {
"model": "openai/gpt-4o",
"messages": [{"role": "user", "content": "What's the weather?"}],
"tools": [
{
"type": "function",
"function": {"name": "get_weather", "parameters": {}},
}
],
}
def _prepare(provider, body: dict) -> dict: # type: ignore[no-untyped-def]
out = provider.prepare_request_body(json.dumps(body).encode(), _model())
assert out is not None
return json.loads(out)
def test_injects_require_parameters_for_tool_request() -> None:
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), _tool_body())
assert data["provider"]["require_parameters"] is True
def test_generic_provider_on_openrouter_url_is_left_alone() -> None:
# Only OpenRouterUpstreamProvider injects; a generic provider pointed at the
# same base URL doesn't.
provider = GenericUpstreamProvider(base_url="https://openrouter.ai/api/v1")
data = _prepare(provider, _tool_body())
assert "provider" not in data
def test_no_injection_without_tools() -> None:
body = {"model": "openai/gpt-4o", "messages": [{"role": "user", "content": "hi"}]}
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert "provider" not in data
def test_empty_tools_list_does_not_inject() -> None:
body = _tool_body()
body["tools"] = []
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert "provider" not in data
def test_direct_provider_does_not_inject() -> None:
provider = GenericUpstreamProvider(base_url="https://api.openai.com/v1")
data = _prepare(provider, _tool_body())
assert "provider" not in data
def test_keeps_client_set_require_parameters() -> None:
body = _tool_body()
body["provider"] = {"require_parameters": False}
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert data["provider"]["require_parameters"] is False
def test_preserves_other_provider_fields() -> None:
body = _tool_body()
body["provider"] = {"order": ["openai", "azure"]}
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert data["provider"]["order"] == ["openai", "azure"]
assert data["provider"]["require_parameters"] is True
@@ -337,75 +337,3 @@ async def test_multiline_non_json_data_each_line_prefixed() -> None:
continue
assert line.startswith(b"data: "), f"bare line leaked to client: {line!r}"
assert b"data: line one" in blob and b"data: line two" in blob
@pytest.mark.asyncio
async def test_crlf_delimiter_split_across_chunk_boundary() -> None:
"""CRLF event delimiter straddling two TCP reads must not merge events.
Regression: a per-chunk ``replace(b"\\r\\n", b"\\n")`` left a stray ``\\r``
when a ``\\r\\n`` of the ``\\r\\n\\r\\n`` delimiter landed at the very end of
one ``aiter_bytes`` chunk and the matching ``\\n`` opened the next. The
``\\n\\n`` split then missed the boundary, glued two events into one frame
with two ``data:`` lines, and the client's ``JSON.parse`` threw on the
concatenated payload (the "unexpected token"/"Extra data" crash).
"""
e1 = b'data: {"id":"x","choices":[{"delta":{"content":"a"}}]}'
e2 = b'data: {"id":"x","choices":[{"delta":{"content":"b"}}]}'
chunks = [
e1 + b"\r\n\r", # delimiter cut mid-CRLF
b"\n" + e2 + b"\r\n\r\n",
b"data: [DONE]\r\n\r\n",
]
out = await _drive(chunks)
# Client-accurate check: a real SSE client concatenates all ``data:`` lines
# *within one event* (events are ``\n\n``-delimited) before parsing. A
# merged frame would surface here as two objects glued into one payload,
# which ``_assert_clean`` (per-line) would miss.
blob = b"".join(out)
contents: list[str] = []
for event in blob.split(b"\n\n"):
datas = [
ln[len(b"data: ") :]
for ln in event.split(b"\n")
if ln.startswith(b"data: ")
]
if not datas:
continue
payload = b"".join(datas)
if payload.strip() == b"[DONE]":
continue
obj = json.loads(payload) # raises if two events were merged into one
for c in obj.get("choices", []):
if "delta" in c:
contents.append(c["delta"]["content"])
assert contents == ["a", "b"]
@pytest.mark.asyncio
async def test_truncated_json_tail_on_connection_close() -> None:
"""A stream that drops mid-event must not emit the partial JSON downstream.
Regression: the end-of-stream flush ran ``_process_event`` on the leftover
buffer unconditionally. When the upstream connection closed mid-event the
leftover was incomplete JSON, which fell through to the raw-forward path and
handed the client a ``data: {partial`` frame -> ``Unterminated string`` parse
error. The truncated tail must be dropped instead.
"""
chunks = [
b'data: {"id":"x","choices":[{"delta":{"content":"ok"}}]}\n\n',
b'data: {"id":"x","choices":[{"delta":{"con', # connection dies here
]
out = await _drive(chunks)
objs = _assert_clean(out) # raises if the partial tail leaked as a data frame
contents = [
c["delta"]["content"]
for o in objs
for c in o.get("choices", [])
if "delta" in c
]
# The one complete chunk is delivered; the truncated fragment is dropped
# entirely (no second delta), and _assert_clean above guarantees nothing
# non-JSON ever reached the client.
assert contents == ["ok"]