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2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
ee5ced10c7 | ||
|
|
e972b62758 |
@@ -24,7 +24,6 @@ from ..payment.models import models_router, update_sats_pricing
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from ..payment.price import update_prices_periodically
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from ..proxy import initialize_upstreams, proxy_router, refresh_model_maps_periodically
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from ..upstream.auto_topup import periodic_auto_topup
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from ..upstream.deepseek_v4_pricing_shim import register_deepseek_v4_pricing
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from ..upstream.litellm_routing import configure_litellm
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from ..wallet import periodic_payout, periodic_refund_sweep, periodic_routstr_fee_payout
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from .admin import admin_router
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@@ -66,11 +65,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
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# debug logging) before any upstream provider dispatches a request.
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configure_litellm()
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# TEMPORARY: backfill DeepSeek V4 pricing missing from litellm's cost
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# map (BerriAI/litellm#30430). Remove this call and
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# deepseek_v4_pricing_shim.py once litellm ships these models.
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register_deepseek_v4_pricing()
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# Run database migrations on startup
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run_migrations()
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@@ -41,6 +41,28 @@ class CostDataError(BaseModel):
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code: str
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def _empty_cost(cls: type[CostData] = CostData) -> CostData:
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"""Build an all-zero cost object — a full refund for an empty response.
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Shared by the two paths that must not bill: an upstream response with no
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usage data at all, and one that reports a USD cost but carries zero tokens
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in every bucket.
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"""
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return cls(
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base_msats=0,
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input_msats=0,
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output_msats=0,
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total_msats=0,
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total_usd=0.0,
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input_tokens=0,
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output_tokens=0,
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cache_read_input_tokens=0,
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cache_creation_input_tokens=0,
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cache_read_msats=0,
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cache_creation_msats=0,
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)
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async def calculate_cost(
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response_data: dict,
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max_cost: int,
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@@ -83,19 +105,7 @@ async def calculate_cost(
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else None,
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},
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)
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return MaxCostData(
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base_msats=0,
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input_msats=0,
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output_msats=0,
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total_msats=0,
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total_usd=0.0,
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input_tokens=0,
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output_tokens=0,
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cache_read_input_tokens=0,
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cache_creation_input_tokens=0,
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cache_read_msats=0,
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cache_creation_msats=0,
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)
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return _empty_cost(MaxCostData)
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usage_data = response_data.get("usage") or {}
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if not isinstance(usage_data, dict):
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@@ -109,6 +119,27 @@ async def calculate_cost(
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# Try USD cost first
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usd_cost = _resolve_usd_cost(usage_data, response_data)
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if usd_cost > 0:
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truly_empty = (
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input_tokens == 0
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and output_tokens == 0
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and cache_read_tokens == 0
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and cache_creation_tokens == 0
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)
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if truly_empty:
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logger.warning(
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"Upstream reported a USD cost but the response carries no "
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"tokens at all (input, output, cache-read and cache-creation "
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"are all zero) — refunding in full rather than billing the "
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"USD-derived cost for an empty response.",
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extra={
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"model": response_data.get("model", "unknown"),
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"usd_cost": usd_cost,
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"usage_keys": sorted(usage_data.keys())
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if isinstance(usage_data, dict)
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else None,
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},
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)
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return _empty_cost()
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if input_tokens == 0 and output_tokens == 0:
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logger.warning(
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"Upstream reported a USD cost but no token counts — "
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@@ -418,21 +449,10 @@ def _calculate_from_tokens(
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},
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)
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# Fold the cache-read/write cost into the visible ``input_msats`` so a
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# dashboard that renders I / O / T sees ``input + output == total``
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# exactly. This mirrors ``_fold_cache_into_input_tokens`` (which rolls the
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# cache token counts into the visible prompt total). The standalone
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# ``cache_read_msats`` / ``cache_creation_msats`` fields stay populated for
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# clients that want the breakdown; nothing sums the components to derive
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# ``total_msats`` (it is computed independently above), so this is
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# display-only and does not change what is billed.
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visible_output_msats = int(calc_output_msats)
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visible_input_msats = token_based_cost - visible_output_msats
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return CostData(
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base_msats=0,
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input_msats=visible_input_msats,
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output_msats=visible_output_msats,
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input_msats=int(calc_input_msats),
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output_msats=int(calc_output_msats),
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total_msats=token_based_cost,
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total_usd=total_usd,
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input_tokens=input_tokens,
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@@ -766,9 +766,7 @@ class BaseUpstreamProvider:
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except Exception:
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pass
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def _process_event(
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raw_event: bytes, final: bool = False
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) -> Iterator[bytes]:
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def _process_event(raw_event: bytes) -> Iterator[bytes]:
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"""Process one complete SSE event block (lines up to a blank line).
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Handles arbitrary upstream framing across every supported
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@@ -874,12 +872,6 @@ class BaseUpstreamProvider:
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return
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yield prefix + b"data: " + json.dumps(obj).encode() + b"\n\n"
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else:
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if final:
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# Final flush of a truncated tail: the upstream closed
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# mid-event, so ``data`` is incomplete JSON. Emitting it
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# as a ``data:`` frame would hand the client invalid
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# JSON (the "unexpected token" parse error). Drop it.
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return
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# Non-JSON data payload (partial fragment already reassembled
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# by buffering, or a provider control string). Re-prefix each
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# line so multi-line ``data`` stays valid SSE framing - a bare
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@@ -898,13 +890,7 @@ class BaseUpstreamProvider:
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# boundary-independent for every provider.
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buffer = b""
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async for chunk in response.aiter_bytes():
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# Normalize the *joined* buffer, not each chunk in
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# isolation: a CRLF event delimiter can straddle two
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# ``aiter_bytes`` chunks (``...\r`` then ``\n...``). A
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# per-chunk replace would leave a stray ``\r`` and the
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# ``\n\n`` split would miss the delimiter, merging two
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# events into one frame and breaking SSE clients.
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buffer = (buffer + chunk).replace(b"\r\n", b"\n")
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buffer += chunk.replace(b"\r\n", b"\n")
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while b"\n\n" in buffer:
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raw_event, buffer = buffer.split(b"\n\n", 1)
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for out in _process_event(raw_event):
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@@ -912,7 +898,7 @@ class BaseUpstreamProvider:
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# Flush any trailing event that lacked a final blank line.
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if buffer.strip():
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for out in _process_event(buffer, final=True):
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for out in _process_event(buffer):
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yield out
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async with create_session() as session:
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@@ -1218,9 +1204,7 @@ class BaseUpstreamProvider:
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except Exception:
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pass
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def _process_event(
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raw_event: bytes, final: bool = False
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) -> Iterator[bytes]:
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def _process_event(raw_event: bytes) -> Iterator[bytes]:
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"""Process one complete SSE event block for the Responses API.
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Buffers full events (delimited by a blank line) so parsing is
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@@ -1290,11 +1274,6 @@ class BaseUpstreamProvider:
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yield prefix + b"data: " + json.dumps(obj).encode() + b"\n\n"
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else:
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if final:
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# Final flush of a truncated tail: upstream closed
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# mid-event, so ``data`` is incomplete JSON. Dropping it
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# avoids handing the client an invalid ``data:`` frame.
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return
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# Re-prefix each line so multi-line ``data`` stays valid SSE
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# framing for the client.
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body = b"".join(
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@@ -1307,20 +1286,14 @@ class BaseUpstreamProvider:
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# delimiter so parsing is independent of byte boundaries.
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buffer = b""
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async for chunk in response.aiter_bytes():
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# Normalize the *joined* buffer, not each chunk in
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# isolation: a CRLF event delimiter can straddle two
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# ``aiter_bytes`` chunks (``...\r`` then ``\n...``). A
|
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# per-chunk replace would leave a stray ``\r`` and the
|
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# ``\n\n`` split would miss the delimiter, merging two
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# events into one frame and breaking SSE clients.
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buffer = (buffer + chunk).replace(b"\r\n", b"\n")
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buffer += chunk.replace(b"\r\n", b"\n")
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while b"\n\n" in buffer:
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raw_event, buffer = buffer.split(b"\n\n", 1)
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for out in _process_event(raw_event):
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yield out
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if buffer.strip():
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for out in _process_event(buffer, final=True):
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for out in _process_event(buffer):
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yield out
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# Always emit a cost-bearing data chunk
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@@ -1,66 +0,0 @@
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"""TEMPORARY: local DeepSeek V4 pricing shim.
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litellm's bundled cost map does not yet ship ``deepseek-v4-flash`` /
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``deepseek-v4-pro``. Without an entry, ``backfill_cache_pricing`` cannot find a
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``cache_read_input_token_cost`` and cache reads fall back to the full input
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rate — a ~60% overcharge on cache hits (DeepSeek hits are ~0.2x input).
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This module injects the missing entries into ``litellm.model_cost`` at startup
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so the existing backfill path resolves them. Rates mirror the open upstream PR
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https://github.com/BerriAI/litellm/pull/26380 (issue
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https://github.com/BerriAI/litellm/issues/30430).
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=== REMOVAL (once litellm ships these models) ===
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Delete this file and the single ``register_deepseek_v4_pricing()`` call in
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``routstr/core/main.py``. Nothing else depends on it. Entries are only added
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when absent, so a stale shim is harmless after upstream lands — but remove it.
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"""
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import litellm
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from ..core import get_logger
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logger = get_logger(__name__)
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# USD per token. Source: BerriAI/litellm PR #26380.
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_DEEPSEEK_V4_RATES: dict[str, dict[str, float]] = {
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"deepseek-v4-flash": {
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"input_cost_per_token": 1.4e-07,
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"output_cost_per_token": 2.8e-07,
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"cache_read_input_token_cost": 2.8e-08,
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"cache_creation_input_token_cost": 0.0,
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"input_cost_per_token_cache_hit": 2.8e-08,
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},
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"deepseek-v4-pro": {
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"input_cost_per_token": 1.74e-06,
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"output_cost_per_token": 3.48e-06,
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"cache_read_input_token_cost": 1.4e-07,
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"cache_creation_input_token_cost": 0.0,
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"input_cost_per_token_cache_hit": 1.4e-07,
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},
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}
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def register_deepseek_v4_pricing() -> None:
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"""Inject DeepSeek V4 pricing into ``litellm.model_cost`` if absent.
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Idempotent and non-destructive: a key already present in the cost map
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(e.g. once litellm ships it) is left untouched. Registers both the bare
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(``deepseek-v4-flash``) and prefixed (``deepseek/deepseek-v4-flash``)
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spellings since ``backfill_cache_pricing`` tries both.
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"""
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added = []
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for bare, rates in _DEEPSEEK_V4_RATES.items():
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for key in (bare, f"deepseek/{bare}"):
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if key in litellm.model_cost:
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continue
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entry: dict[str, object] = dict(rates)
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entry["litellm_provider"] = "deepseek"
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entry["mode"] = "chat"
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litellm.model_cost[key] = entry
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added.append(key)
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if added:
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logger.info(
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"Registered temporary DeepSeek V4 pricing shim",
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extra={"models": added},
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)
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@@ -1,4 +1,3 @@
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import json
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from typing import TYPE_CHECKING
|
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|
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import httpx
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@@ -19,38 +18,6 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
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supports_anthropic_messages = True
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litellm_provider_prefix = "openrouter/"
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|
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def prepare_request_body(
|
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self, body: bytes | None, model_obj: Model
|
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) -> 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
|
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tool use". We leave a client-supplied value untouched.
|
||||
"""
|
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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
|
||||
|
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provider = data.get("provider")
|
||||
if not isinstance(provider, dict):
|
||||
provider = {}
|
||||
|
||||
if "require_parameters" in provider:
|
||||
return body
|
||||
|
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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.
|
||||
|
||||
|
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@@ -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
|
||||
# ============================================================================
|
||||
|
||||
@@ -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"]
|
||||
|
||||
Reference in New Issue
Block a user