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Author SHA1 Message Date
9qeklajc f408785409 better rate limit forwarding 2026-06-20 20:03:40 +02:00
16 changed files with 800 additions and 366 deletions
+17 -2
View File
@@ -7,11 +7,26 @@ logger = get_logger(__name__)
class UpstreamError(Exception):
"""Exception raised when an upstream provider fails."""
"""Exception raised when an upstream provider fails.
def __init__(self, message: str, status_code: int = 502):
``code`` carries a stable, machine-readable classification (e.g.
``UPSTREAM_RATE_LIMIT``) so callers can distinguish failure kinds without
string-matching the message. ``details`` holds optional structured,
redaction-safe context. Both default to ``None`` for backwards
compatibility.
"""
def __init__(
self,
message: str,
status_code: int = 502,
code: str | None = None,
details: dict[str, object] | None = None,
):
self.message = message
self.status_code = status_code
self.code = code
self.details = details
super().__init__(message)
+44
View File
@@ -51,6 +51,8 @@ from pythonjsonlogger import jsonlogger
from rich.console import Console
from rich.logging import RichHandler
from .redaction import redact_obj, redact_org_ids
# Only use RichHandler when stdout is a real TTY. In non-TTY contexts
# (docker logs, pipes, CI) Rich pads every line to width and wraps long
# records, producing visually-empty trailing whitespace and split records.
@@ -180,6 +182,37 @@ class RequestIdFilter(logging.Filter):
return True
# Standard ``LogRecord`` attributes that are never user-supplied ``extra``
# fields; skipped when redacting structured extras (``msg``/``message`` are
# handled separately above).
_NON_EXTRA_RECORD_ATTRS = frozenset(
{
"name",
"msg",
"args",
"levelname",
"levelno",
"pathname",
"filename",
"module",
"exc_info",
"exc_text",
"stack_info",
"lineno",
"funcName",
"created",
"msecs",
"relativeCreated",
"thread",
"threadName",
"processName",
"process",
"taskName",
"message",
}
)
class SecurityFilter(logging.Filter):
"""Filter to remove sensitive information from logs."""
@@ -203,6 +236,7 @@ class SecurityFilter(logging.Filter):
"""Filter out sensitive information from log records."""
try:
message = record.getMessage()
message = redact_org_ids(message)
standalone_patterns = [
r"Bearer\s+([a-zA-Z0-9_\-\.]{10,})", # Bearer token (must be 10 characters or more to reduce false-positives)
r"cashu[A-Z]+([a-zA-Z0-9_\-\.=/+]+)", # Cashu tokens
@@ -224,6 +258,16 @@ class SecurityFilter(logging.Filter):
record.msg = message
record.args = ()
# Structured `extra={...}` fields are emitted by the JSON formatter
# straight from the record dict and never pass through the message
# formatting above. Redact organization IDs from any string-valued
# extra so they cannot leak via structured logs.
for attr, value in list(record.__dict__.items()):
if attr in _NON_EXTRA_RECORD_ATTRS:
continue
if isinstance(value, (str, dict, list, tuple)):
record.__dict__[attr] = redact_obj(value)
except Exception:
pass
-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()
+51
View File
@@ -0,0 +1,51 @@
"""Redaction helpers for sensitive provider identifiers.
Single source of truth for stripping account-scoped identifiers (e.g. OpenAI
organization IDs) from any text before it is logged, returned to a caller, or
written to an audit entry.
"""
from __future__ import annotations
import re
from typing import Any
# OpenAI-style organization identifiers look like ``org-<base62>``. Require at
# least 6 trailing chars so the already-redacted literal ``org-[REDACTED]`` is
# never re-matched (``[`` is not in the character class).
_ORG_ID_PATTERN = re.compile(r"\borg-[A-Za-z0-9]{6,}\b")
ORG_ID_PLACEHOLDER = "org-[REDACTED]"
def redact_org_ids(text: str) -> str:
"""Replace OpenAI-style organization IDs with ``org-[REDACTED]``.
Args:
text: Arbitrary text that may embed an ``org-*`` identifier.
Returns:
The text with every organization ID replaced. Non-string input is
returned unchanged after coercion to ``str``.
"""
if not text:
return text
return _ORG_ID_PATTERN.sub(ORG_ID_PLACEHOLDER, text)
def redact_obj(obj: Any) -> Any:
"""Recursively redact organization IDs in arbitrary nested structures.
Strings are redacted in place; dicts and lists/tuples are walked so that
identifiers nested inside structured payloads (e.g. log ``extra`` fields or
error ``details``) are also stripped. Other types are returned unchanged.
"""
if isinstance(obj, str):
return redact_org_ids(obj)
if isinstance(obj, dict):
return {key: redact_obj(value) for key, value in obj.items()}
if isinstance(obj, list):
return [redact_obj(value) for value in obj]
if isinstance(obj, tuple):
return tuple(redact_obj(value) for value in obj)
return obj
+2 -13
View File
@@ -418,21 +418,10 @@ 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,
+36 -6
View File
@@ -11,6 +11,8 @@ from PIL import Image
from sqlmodel.ext.asyncio.session import AsyncSession
from ..core import get_logger
from ..core.exceptions import UpstreamError
from ..core.redaction import redact_org_ids
from ..core.settings import settings
from ..wallet import deserialize_token_from_string
@@ -418,16 +420,27 @@ def create_error_response(
status_code: int,
request: Request,
token: str | None = None,
code: str | int | None = None,
details: dict[str, object] | None = None,
) -> Response:
"""Create a standardized error response."""
"""Create a standardized error response.
``code`` is a stable, machine-readable classification (e.g.
``UPSTREAM_RATE_LIMIT``); when omitted it defaults to the HTTP status code
for backwards compatibility. ``details`` carries optional structured,
redaction-safe context.
"""
error_obj: dict[str, object] = {
"message": redact_org_ids(message),
"type": error_type,
"code": code if code is not None else status_code,
}
if details is not None:
error_obj["details"] = details
return Response(
content=json.dumps(
{
"error": {
"message": message,
"type": error_type,
"code": status_code,
},
"error": error_obj,
"request_id": getattr(request.state, "request_id", "unknown"),
}
),
@@ -435,3 +448,20 @@ def create_error_response(
media_type="application/json",
headers={"X-Cashu": token} if token else {},
)
def create_upstream_error_response(
error: UpstreamError,
request: Request,
fallback_status: int = 502,
) -> Response:
"""Build an error response from an :class:`UpstreamError`, preserving its
structured ``code``, ``details``, and original ``status_code``."""
return create_error_response(
"upstream_error",
str(error),
error.status_code or fallback_status,
request=request,
code=getattr(error, "code", None),
details=getattr(error, "details", None),
)
+7 -13
View File
@@ -24,6 +24,7 @@ from .payment.helpers import (
calculate_discounted_max_cost,
check_token_balance,
create_error_response,
create_upstream_error_response,
get_max_cost_for_model,
)
from .payment.models import Model
@@ -211,9 +212,7 @@ async def proxy(
e,
)
if i == len(all_upstreams) - 1:
last_error_response = create_error_response(
"upstream_error", str(e), 502, request=request
)
last_error_response = create_upstream_error_response(e, request)
continue
return last_error_response or create_error_response(
"upstream_error", "All upstreams failed", 502, request=request
@@ -283,11 +282,10 @@ async def proxy(
last_error = e
continue
if last_error is not None:
return create_upstream_error_response(last_error, request)
return create_error_response(
"upstream_error",
str(last_error) if last_error else "All upstreams failed",
502,
request=request,
"upstream_error", "All upstreams failed", 502, request=request
)
elif auth := headers.get("authorization", None):
@@ -343,9 +341,7 @@ async def proxy(
except UpstreamError as e:
logger.warning(f"Upstream {upstream.provider_type} failed (GET): {e}")
if i == len(upstreams) - 1:
last_error_response = create_error_response(
"upstream_error", str(e), 502, request=request
)
last_error_response = create_upstream_error_response(e, request)
continue
return last_error_response or create_error_response(
"upstream_error", "All upstreams failed", 502, request=request
@@ -525,9 +521,7 @@ async def proxy(
# If this was the last provider
if i == len(upstreams) - 1:
await revert_pay_for_request(key, session, max_cost_for_model)
return create_error_response(
"upstream_error", str(e), 502, request=request
)
return create_upstream_error_response(e, request)
# Otherwise loop continues to next provider
continue
+91 -50
View File
@@ -2,6 +2,7 @@ from __future__ import annotations
import asyncio
import json
import math
import traceback
import uuid
from collections.abc import AsyncGenerator, AsyncIterator, Iterator
@@ -23,6 +24,7 @@ from ..core.db import (
store_cashu_transaction,
)
from ..core.exceptions import UpstreamError
from ..core.redaction import redact_org_ids
from ..payment.cost_calculation import (
CostData,
CostDataError,
@@ -47,6 +49,7 @@ from .cache_breakpoints import (
)
from .count_tokens import count_tokens_locally
from .litellm_routing import detect_litellm_prefix
from .rate_limit import UPSTREAM_RATE_LIMIT, classify_rate_limit
logger = get_logger(__name__)
@@ -582,7 +585,7 @@ class BaseUpstreamProvider:
preview = body_bytes.decode("utf-8", errors="ignore").strip()
if preview:
message = preview[:500]
return message, upstream_code
return redact_org_ids(message), upstream_code
async def on_upstream_error_redirect(
self, status_code: int, error_message: str
@@ -625,10 +628,23 @@ class BaseUpstreamProvider:
body_bytes = b""
body_read_error = f"{type(exc).__name__}: {exc}"
# ``message`` is already redacted by ``_extract_upstream_error_message``;
# the raw body preview is redacted here before it reaches logs or the
# forwarded envelope so provider account identifiers never leak.
message, upstream_code = self._extract_upstream_error_message(body_bytes)
body_preview = body_bytes.decode("utf-8", errors="ignore").strip()[:500]
body_preview = redact_org_ids(
body_bytes.decode("utf-8", errors="ignore").strip()[:500]
)
is_json_body = _is_json_content_type(content_type)
# Classify upstream rate-limit failures into a stable, structured error.
rate_limit = classify_rate_limit(status_code, message, headers)
error_code: str | int = upstream_code or status_code
error_details: dict[str, object] | None = None
if rate_limit is not None:
error_code = UPSTREAM_RATE_LIMIT
error_details = rate_limit.as_details()
logger.warning(
"Upstream %s returned %s for model=%s path=%s: %s",
self.provider_type,
@@ -642,6 +658,7 @@ class BaseUpstreamProvider:
"model": model_id or "unknown",
"upstream_status": status_code,
"upstream_code": upstream_code,
"error_code": error_code,
"upstream_content_type": content_type,
"upstream_request_id": upstream_request_id,
"message_preview": message[:200],
@@ -676,13 +693,41 @@ class BaseUpstreamProvider:
):
headers.pop(header_name, None)
# Propagate a usable retry hint to the caller when the upstream supplied
# one but did not echo a ``Retry-After`` header. RFC 7231 delta-seconds
# is an integer, so round sub-second hints up to a usable ``1``.
if (
rate_limit is not None
and rate_limit.retry_after_seconds is not None
and "retry-after" not in {k.lower() for k in headers}
):
headers["Retry-After"] = str(max(1, math.ceil(rate_limit.retry_after_seconds)))
if is_json_body:
if not content_type:
headers.pop("content-type", None)
headers.pop("Content-Type", None)
media_type = content_type or None
# Re-serialise the body with organization IDs stripped. The narrow
# ``org-*`` regex preserves the surrounding JSON structure.
redacted_text = redact_org_ids(body_bytes.decode("utf-8", errors="ignore"))
redacted_body = redacted_text.encode()
# Surface the stable rate-limit classification on the forwarded
# body so callers can switch on ``error.code`` without parsing the
# provider-specific message. Fall back to the redacted bytes if the
# body is not a JSON object with an ``error`` mapping.
if rate_limit is not None:
try:
parsed = json.loads(redacted_text)
err = parsed.get("error") if isinstance(parsed, dict) else None
if isinstance(err, dict):
err["code"] = UPSTREAM_RATE_LIMIT
err["details"] = error_details
redacted_body = json.dumps(parsed).encode()
except (ValueError, AttributeError):
pass
return Response(
content=body_bytes,
content=redacted_body,
status_code=status_code,
headers=headers,
media_type=media_type,
@@ -693,15 +738,18 @@ class BaseUpstreamProvider:
for header_name in ("content-type", "Content-Type"):
headers.pop(header_name, None)
error_obj: dict[str, object] = {
"message": message or "Upstream returned a non-JSON error response",
"type": "upstream_error",
"code": error_code,
"upstream_status": status_code,
"upstream_content_type": content_type or None,
"upstream_body_preview": body_preview or None,
}
if error_details is not None:
error_obj["details"] = error_details
envelope = {
"error": {
"message": message or "Upstream returned a non-JSON error response",
"type": "upstream_error",
"code": upstream_code or status_code,
"upstream_status": status_code,
"upstream_content_type": content_type or None,
"upstream_body_preview": body_preview or None,
},
"error": error_obj,
"request_id": getattr(request.state, "request_id", None),
}
@@ -766,9 +814,7 @@ 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 +920,6 @@ 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 +938,7 @@ 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 +946,7 @@ 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 +1252,7 @@ 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 +1322,6 @@ 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 +1334,14 @@ 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
@@ -2521,9 +2542,16 @@ class BaseUpstreamProvider:
body_bytes = await response.aread()
except Exception:
body_bytes = b""
body_preview = body_bytes.decode(
"utf-8", errors="ignore"
).strip()[:500]
# Redact provider account identifiers before the body text
# reaches logs or the raised error.
body_preview = redact_org_ids(
body_bytes.decode("utf-8", errors="ignore").strip()[:500]
)
rate_limit = classify_rate_limit(
response.status_code,
body_preview,
dict(response.headers),
)
logger.error(
"Upstream %s returned %s for model=%s path=%s: %s",
self.provider_type,
@@ -2535,6 +2563,7 @@ class BaseUpstreamProvider:
"provider": self.provider_type,
"model": original_model_id or "unknown",
"status_code": response.status_code,
"error_code": rate_limit.code if rate_limit else None,
"reason_phrase": response.reason_phrase,
"path": path,
"body_preview": body_preview,
@@ -2547,6 +2576,8 @@ class BaseUpstreamProvider:
f"for model {original_model_id or 'unknown'}: "
f"{body_preview[:200] or '<empty>'}",
status_code=response.status_code,
code=rate_limit.code if rate_limit else None,
details=rate_limit.as_details() if rate_limit else None,
)
try:
@@ -2843,9 +2874,16 @@ class BaseUpstreamProvider:
body_bytes = await response.aread()
except Exception:
body_bytes = b""
body_preview = body_bytes.decode(
"utf-8", errors="ignore"
).strip()[:500]
# Redact provider account identifiers before the body text
# reaches logs or the raised error.
body_preview = redact_org_ids(
body_bytes.decode("utf-8", errors="ignore").strip()[:500]
)
rate_limit = classify_rate_limit(
response.status_code,
body_preview,
dict(response.headers),
)
logger.error(
"Upstream %s returned %s for model=%s path=%s: %s",
self.provider_type,
@@ -2857,6 +2895,7 @@ class BaseUpstreamProvider:
"provider": self.provider_type,
"model": original_model_id or "unknown",
"status_code": response.status_code,
"error_code": rate_limit.code if rate_limit else None,
"path": path,
"body_preview": body_preview,
},
@@ -2868,6 +2907,8 @@ class BaseUpstreamProvider:
f"for model {original_model_id or 'unknown'}: "
f"{body_preview[:200] or '<empty>'}",
status_code=response.status_code,
code=rate_limit.code if rate_limit else None,
details=rate_limit.as_details() if rate_limit else None,
)
try:
@@ -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},
)
+18 -4
View File
@@ -29,7 +29,9 @@ import litellm
from ..core import get_logger
from ..core.exceptions import UpstreamError
from ..core.redaction import redact_org_ids
from ..payment.models import Model
from .rate_limit import classify_rate_limit
logger = get_logger(__name__)
@@ -505,23 +507,33 @@ async def dispatch_anthropic_messages(
try:
result = await litellm.anthropic.messages.acreate(**kwargs)
except Exception as exc:
exc_message = getattr(exc, "message", None) or str(exc) or repr(exc)
raw_message = getattr(exc, "message", None) or str(exc) or repr(exc)
# Redact provider account identifiers before the message reaches logs
# or the surfaced error.
exc_message = redact_org_ids(raw_message)
exc_status = getattr(exc, "status_code", None)
exc_response = getattr(exc, "response", None)
response_text = None
if exc_response is not None:
try:
response_text = getattr(exc_response, "text", str(exc_response))
response_text = redact_org_ids(
getattr(exc_response, "text", str(exc_response))
)
except Exception:
response_text = "<unreadable>"
status_for_classify = exc_status if isinstance(exc_status, int) else 502
rate_limit = classify_rate_limit(
status_for_classify, exc_message, getattr(exc, "headers", None)
)
logger.error(
"litellm dispatch failed",
extra={
"error": exc_message,
"error_type": type(exc).__name__,
"status_code": exc_status,
"error_code": rate_limit.code if rate_limit else None,
"llm_provider": getattr(exc, "llm_provider", None),
"body": getattr(exc, "body", None),
"body": redact_org_ids(str(getattr(exc, "body", "") or "")) or None,
"response_text": response_text,
"model": litellm_model,
"api_base": base_url,
@@ -529,7 +541,9 @@ async def dispatch_anthropic_messages(
)
raise UpstreamError(
f"Upstream error via litellm: {exc_message}",
status_code=exc_status if isinstance(exc_status, int) else 502,
status_code=status_for_classify,
code=rate_limit.code if rate_limit else None,
details=rate_limit.as_details() if rate_limit else None,
) from exc
if not client_stream and hasattr(result, "__aiter__"):
-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.
+136
View File
@@ -0,0 +1,136 @@
"""Detection and parsing of upstream provider rate-limit errors.
Upstream OpenAI-compatible providers signal rate limits via HTTP 429 and/or a
human-readable message such as::
Rate limit reached for gpt-5.5-2026-04-23 (for limit gpt-5.5) in organization
org-XXXX on tokens per min (TPM): Limit 180000000, Used 180000000,
Requested 8929. Please try again in 2ms.
This module classifies those failures into a stable :data:`UPSTREAM_RATE_LIMIT`
code and extracts useful debugging fields. All retained text is redacted of
organization IDs first.
"""
from __future__ import annotations
import re
from dataclasses import asdict, dataclass
from ..core.redaction import redact_org_ids
# Stable error code callers can switch on to distinguish upstream rate limits
# from generic request failures. The literal value matches the identifier named
# in issue #555 ("UPSTREAM_RATE_LIMIT") so the public API contract is exact.
UPSTREAM_RATE_LIMIT = "UPSTREAM_RATE_LIMIT"
# Message fragments that indicate a rate-limit even when the status code is not
# 429 (some providers wrap it in a 400/500 envelope).
_RATE_LIMIT_MARKERS = (
"rate limit reached",
"rate_limit_exceeded",
"rate limit exceeded",
"too many requests",
)
_MODEL_RE = re.compile(r"Rate limit reached for ([^\s(]+)", re.IGNORECASE)
_LIMIT_NAME_RE = re.compile(r"\(for limit ([^)]+)\)", re.IGNORECASE)
_METRIC_RE = re.compile(r"on ([a-z ]+\((?:TPM|RPM|TPD|RPD|IPM)\))", re.IGNORECASE)
_LIMIT_RE = re.compile(r"Limit (\d+)", re.IGNORECASE)
_USED_RE = re.compile(r"Used (\d+)", re.IGNORECASE)
_REQUESTED_RE = re.compile(r"Requested (\d+)", re.IGNORECASE)
_RETRY_RE = re.compile(r"try again in ([\d.]+)\s*(ms|s)", re.IGNORECASE)
@dataclass
class RateLimitInfo:
"""Structured, redaction-safe view of an upstream rate-limit error."""
code: str
message: str
model: str | None = None
limit_name: str | None = None
metric: str | None = None
limit: int | None = None
used: int | None = None
requested: int | None = None
retry_after_seconds: float | None = None
def as_details(self) -> dict[str, object]:
"""Return a JSON-serialisable dict for embedding in an error envelope."""
return {k: v for k, v in asdict(self).items() if v is not None}
def _looks_like_rate_limit(status_code: int, message: str) -> bool:
if status_code == 429:
return True
lowered = message.lower()
return any(marker in lowered for marker in _RATE_LIMIT_MARKERS)
def _parse_retry_after_header(headers: dict[str, str] | None) -> float | None:
"""Parse a ``Retry-After`` header (delta-seconds form) into seconds."""
if not headers:
return None
raw = headers.get("retry-after") or headers.get("Retry-After")
if raw is None:
return None
try:
return float(str(raw).strip())
except (TypeError, ValueError):
return None
def _int_or_none(match: re.Match[str] | None) -> int | None:
if match is None:
return None
try:
return int(match.group(1))
except (TypeError, ValueError):
return None
def classify_rate_limit(
status_code: int,
message: str,
headers: dict[str, str] | None = None,
) -> RateLimitInfo | None:
"""Classify an upstream error as a rate-limit and extract its fields.
Args:
status_code: HTTP status code from the upstream response.
message: Upstream error message (may contain sensitive identifiers).
headers: Optional upstream response headers, used for ``Retry-After``.
Returns:
A :class:`RateLimitInfo` when the error is a rate-limit, else ``None``.
"""
message = message or ""
if not _looks_like_rate_limit(status_code, message):
return None
redacted = redact_org_ids(message)
model_match = _MODEL_RE.search(redacted)
metric_match = _METRIC_RE.search(redacted)
retry_after = _parse_retry_after_header(headers)
if retry_after is None:
retry_match = _RETRY_RE.search(redacted)
if retry_match is not None:
value = float(retry_match.group(1))
retry_after = value / 1000.0 if retry_match.group(2).lower() == "ms" else value
limit_name_match = _LIMIT_NAME_RE.search(redacted)
return RateLimitInfo(
code=UPSTREAM_RATE_LIMIT,
message=redacted,
model=model_match.group(1) if model_match else None,
limit_name=limit_name_match.group(1).strip() if limit_name_match else None,
metric=metric_match.group(1).strip() if metric_match else None,
limit=_int_or_none(_LIMIT_RE.search(redacted)),
used=_int_or_none(_USED_RE.search(redacted)),
requested=_int_or_none(_REQUESTED_RE.search(redacted)),
retry_after_seconds=retry_after,
)
+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
-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"]
+396
View File
@@ -0,0 +1,396 @@
"""Tests for upstream rate-limit detection, classification, and org-ID redaction.
Covers issue #555: upstream OpenAI-compatible providers return rate-limit
errors that embed a sensitive organization ID. The proxy must classify these
distinctly (``UPSTREAM_RATE_LIMIT``), preserve useful debugging fields, and
never emit a raw ``org-*`` identifier in logs, errors, or returned bodies.
"""
from __future__ import annotations
import json
from typing import Any
from unittest.mock import AsyncMock, MagicMock, Mock, patch
import httpx
import pytest
from routstr.core.redaction import redact_org_ids
from routstr.upstream.base import BaseUpstreamProvider
from routstr.upstream.rate_limit import (
UPSTREAM_RATE_LIMIT,
RateLimitInfo,
classify_rate_limit,
)
# The exact scenario from the issue, with a realistic (fake) org identifier.
RAW_ORG_ID = "org-abc123XYZ456def"
RATE_LIMIT_MESSAGE = (
f"Rate limit reached for gpt-5.5-2026-04-23 (for limit gpt-5.5) in "
f"organization {RAW_ORG_ID} on tokens per min (TPM): Limit 180000000, "
f"Used 180000000, Requested 8929. Please try again in 2ms. Visit "
f"https://platform.openai.com/account/rate-limits to learn more."
)
def _make_request(request_id: str = "req-123") -> Mock:
request = Mock(spec=["method", "state"])
request.method = "POST"
request.state = Mock()
request.state.request_id = request_id
return request
def _make_upstream_response(
*,
body: bytes,
status_code: int = 429,
content_type: str | None = "application/json",
extra_headers: dict[str, str] | None = None,
) -> httpx.Response:
headers: dict[str, str] = {}
if content_type is not None:
headers["content-type"] = content_type
if extra_headers:
headers.update(extra_headers)
return httpx.Response(status_code=status_code, headers=headers, content=body)
@pytest.fixture
def provider() -> BaseUpstreamProvider:
return BaseUpstreamProvider(
base_url="https://privateprovider.xyz", api_key="k", provider_fee=1.0
)
# --------------------------------------------------------------------------- #
# Redaction
# --------------------------------------------------------------------------- #
def test_redact_org_ids_replaces_identifier() -> None:
assert RAW_ORG_ID not in redact_org_ids(RATE_LIMIT_MESSAGE)
assert "org-[REDACTED]" in redact_org_ids(RATE_LIMIT_MESSAGE)
def test_redact_org_ids_is_idempotent() -> None:
once = redact_org_ids(RATE_LIMIT_MESSAGE)
assert redact_org_ids(once) == once
def test_redact_org_ids_leaves_unrelated_text() -> None:
assert redact_org_ids("organize the org-chart") == "organize the org-chart"
assert redact_org_ids("") == ""
# --------------------------------------------------------------------------- #
# Classification
# --------------------------------------------------------------------------- #
def test_classify_exact_scenario() -> None:
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE)
assert isinstance(info, RateLimitInfo)
assert info.code == UPSTREAM_RATE_LIMIT
assert info.model == "gpt-5.5-2026-04-23"
assert info.limit_name == "gpt-5.5"
assert info.metric == "tokens per min (TPM)"
assert info.limit == 180000000
assert info.used == 180000000
assert info.requested == 8929
assert info.retry_after_seconds == pytest.approx(0.002)
# Redaction-safe: no raw org id survives into the structured view.
assert RAW_ORG_ID not in info.message
assert RAW_ORG_ID not in json.dumps(info.as_details())
def test_classify_by_status_code_without_marker() -> None:
info = classify_rate_limit(429, "slow down")
assert info is not None
assert info.code == UPSTREAM_RATE_LIMIT
def test_classify_by_message_marker_without_429() -> None:
info = classify_rate_limit(400, "rate_limit_exceeded for this key")
assert info is not None
def test_retry_after_header_takes_precedence() -> None:
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE, {"Retry-After": "12"})
assert info is not None
assert info.retry_after_seconds == pytest.approx(12.0)
def test_non_rate_limit_error_is_not_classified() -> None:
assert classify_rate_limit(400, "invalid request: missing field 'model'") is None
assert classify_rate_limit(500, "internal server error") is None
# --------------------------------------------------------------------------- #
# forward_upstream_error_response integration
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_json_rate_limit_body_is_redacted_and_forwarded(
provider: BaseUpstreamProvider,
) -> None:
body = json.dumps(
{"error": {"message": RATE_LIMIT_MESSAGE, "type": "rate_limit_exceeded"}}
).encode()
upstream = _make_upstream_response(body=body, status_code=429)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
assert response.status_code == 429
raw = bytes(response.body).decode()
# No raw organization id may survive in the forwarded body.
assert RAW_ORG_ID not in raw
assert "org-[REDACTED]" in raw
# Body remains valid JSON; the original type is preserved while a stable
# rate-limit code is injected so callers can switch on it.
payload: dict[str, Any] = json.loads(raw)
assert payload["error"]["type"] == "rate_limit_exceeded"
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["model"] == "gpt-5.5-2026-04-23"
# A retry hint extracted from the message is surfaced as a header.
assert "retry-after" in {k.lower() for k in response.headers}
@pytest.mark.asyncio
async def test_non_json_rate_limit_envelope_uses_stable_code(
provider: BaseUpstreamProvider,
) -> None:
upstream = _make_upstream_response(
body=RATE_LIMIT_MESSAGE.encode(),
status_code=429,
content_type="text/plain",
)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["model"] == "gpt-5.5-2026-04-23"
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
@pytest.mark.asyncio
async def test_non_rate_limit_json_error_unchanged(
provider: BaseUpstreamProvider,
) -> None:
body = json.dumps(
{"error": {"message": "missing field 'model'", "type": "invalid_request"}}
).encode()
upstream = _make_upstream_response(body=body, status_code=400)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
assert response.status_code == 400
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "invalid_request"
assert "retry-after" not in {k.lower() for k in response.headers}
# --------------------------------------------------------------------------- #
# UpstreamError -> proxy response (preserves code/details/status)
# --------------------------------------------------------------------------- #
def test_create_upstream_error_response_preserves_structure() -> None:
from routstr.core.exceptions import UpstreamError
from routstr.payment.helpers import create_upstream_error_response
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE)
assert info is not None
err = UpstreamError(
f"Upstream error via litellm: {RATE_LIMIT_MESSAGE}",
status_code=429,
code=info.code,
details=info.as_details(),
)
response = create_upstream_error_response(err, _make_request())
# Original upstream status is preserved (not flattened to 502).
assert response.status_code == 429
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "upstream_error"
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["requested"] == 8929
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
def test_generic_upstream_error_still_defaults_to_502() -> None:
from routstr.core.exceptions import UpstreamError
from routstr.payment.helpers import create_upstream_error_response
err = UpstreamError("connection refused") # status_code defaults to 502
response = create_upstream_error_response(err, _make_request())
assert response.status_code == 502
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "upstream_error"
assert payload["error"]["code"] == 502
assert "details" not in payload["error"]
# --------------------------------------------------------------------------- #
# Structured log-extra redaction
# --------------------------------------------------------------------------- #
def test_security_filter_redacts_org_id_in_extra() -> None:
import logging
from routstr.core.logging import SecurityFilter
record = logging.LogRecord(
name="test",
level=logging.ERROR,
pathname=__file__,
lineno=1,
msg="upstream failed",
args=(),
exc_info=None,
)
# Simulate an ``extra={"body_preview": ...}`` field carrying an org id.
setattr(record, "body_preview", RATE_LIMIT_MESSAGE)
assert SecurityFilter().filter(record) is True
redacted: str = getattr(record, "body_preview")
assert RAW_ORG_ID not in redacted
assert "org-[REDACTED]" in redacted
def test_security_filter_redacts_org_id_in_nested_extra() -> None:
import logging
from routstr.core.logging import SecurityFilter
record = logging.LogRecord(
name="test",
level=logging.ERROR,
pathname=__file__,
lineno=1,
msg="upstream failed",
args=(),
exc_info=None,
)
# Nested structures: dict containing a list containing the org id.
setattr(record, "body", {"error": {"messages": [RATE_LIMIT_MESSAGE]}})
assert SecurityFilter().filter(record) is True
serialized = json.dumps(getattr(record, "body"))
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
# --------------------------------------------------------------------------- #
# 5xx-wrapped rate limit through forward_upstream_error_response
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_5xx_wrapped_rate_limit_is_classified(
provider: BaseUpstreamProvider,
) -> None:
# Some providers wrap a rate-limit in a 5xx envelope; classification must
# key off the message marker, not only the 429 status.
body = json.dumps({"error": {"message": RATE_LIMIT_MESSAGE}}).encode()
upstream = _make_upstream_response(body=body, status_code=500)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
assert response.status_code == 500
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
# --------------------------------------------------------------------------- #
# Real proxy loop: structured error surfaced + reservation reverted once
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_proxy_loop_surfaces_rate_limit_and_reverts_once() -> None:
from routstr import proxy as proxy_module
from routstr.core.db import ApiKey
from routstr.core.exceptions import UpstreamError
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE)
assert info is not None
key = ApiKey(hashed_key="rlkey", balance=10_000)
request = MagicMock()
request.method = "POST"
request.headers = {"authorization": "Bearer sk-rlkey"}
request.body = AsyncMock(return_value=b'{"model": "test-model"}')
request.state = MagicMock()
request.state.request_id = "req-rl"
upstream = MagicMock()
upstream.provider_type = "test"
upstream.prepare_headers = MagicMock(side_effect=lambda h: h)
upstream.forward_request = AsyncMock(
side_effect=UpstreamError(
f"Upstream error via litellm: {RATE_LIMIT_MESSAGE}",
status_code=429,
code=info.code,
details=info.as_details(),
)
)
session = MagicMock()
revert_mock = AsyncMock(return_value=True)
with (
patch.object(proxy_module, "get_model_instance", return_value=MagicMock()),
patch.object(proxy_module, "get_provider_for_model", return_value=[upstream]),
patch.object(
proxy_module, "get_max_cost_for_model", AsyncMock(return_value=1_000)
),
patch.object(
proxy_module,
"calculate_discounted_max_cost",
AsyncMock(return_value=1_000),
),
patch.object(proxy_module, "check_token_balance", MagicMock()),
patch.object(
proxy_module, "get_bearer_token_key", AsyncMock(return_value=key)
),
patch.object(proxy_module, "pay_for_request", AsyncMock(return_value=1_000)),
patch.object(proxy_module, "revert_pay_for_request", revert_mock),
):
response = await proxy_module.proxy(
request, "v1/chat/completions", session=session
)
# Original 429 status and the stable code/details survive to the client.
assert response.status_code == 429
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "upstream_error"
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["requested"] == 8929
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
# Single upstream failed -> reservation reverted exactly once (no double-charge).
revert_mock.assert_awaited_once_with(key, session, 1_000)