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Author SHA1 Message Date
9qeklajc dc0e56e450 add new status code for refund not ready 2026-07-07 15:57:33 +02:00
9qeklajcandGitHub b36bb56a30 Merge pull request #571 from Routstr/fix/security-pip-deps
fix(deps): patch reachable pip security advisories (aiohttp, pyjwt, python-multipart, pydantic-settings)
2026-07-07 14:40:09 +02:00
9qeklajcandGitHub 97172641f8 Merge pull request #581 from jeroenubbink/fix/generic-provider-pricing
Resolve generic provider pricing instead of fabricating it
2026-07-07 14:38:32 +02:00
9qeklajc 65ccf83dbd update lock file 2026-07-07 12:30:02 +02:00
Jeroen UbbinkandClaude Opus 4.8 2baea4149e fix(upstream): break OpenRouter bare-tail ties on combined token cost
The bare-tail tie-break ranked candidates by prompt price alone, so two
entries sharing a tail where one is cheaper on prompt but far dearer on
completion could resolve to the entry that undercharges output-heavy
traffic — contradicting the "highest-priced wins for money safety" promise.

Rank by the combined prompt + completion per-token cost instead, so the
choice stays deterministic and money-safe whichever way traffic leans. As
before there are zero bare-tail collisions in the live feed, so this changes
no resolved price today; it only governs the latent case.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-07 12:25:09 +02:00
Jeroen UbbinkandClaude Opus 4.8 64d9460711 fix(upstream): validate native model_spec prices before trusting them
The generic provider treated any Venice-style model_spec.pricing as
authoritative after only a None check, so a native both-zero price served
the model free, a negative one credited the caller on every request, and a
non-numeric string threw while parsing — the outer catch then dropped the
provider's entire catalog.

Coerce both native prices through the resolver's _as_float and reject
absent / non-numeric / negative / both-zero values, falling through to the
shared litellm→OpenRouter→fail-closed chain instead. This extends the same
money-safety guard the litellm and OpenRouter rungs already apply to the
native source, and keeps one malformed entry from emptying the catalog.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-07 12:24:01 +02:00
9qeklajcandGitHub f55c3e9c8c Merge pull request #587 from Routstr/bump-version
bump version
2026-07-06 23:02:54 +02:00
9qeklajc e3ac06342f bump version 2026-07-06 23:00:41 +02:00
Jeroen UbbinkandClaude Opus 4.8 ec0fd1143b fix(upstream): preserve source modality instead of flattening it
The generic provider computed modality as "text->text" for any vision model
and "text" otherwise, discarding the source's own modality and mislabelling
image-capable models. Carry OpenRouter's modality string through verbatim, and
when a source doesn't supply one, derive it from the captured input/output
modalities in the same "in->out" shape (e.g. "text+image->text").

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 15:40:57 +02:00
Jeroen UbbinkandClaude Opus 4.8 ae9748db02 fix(upstream): break OpenRouter bare-tail ties by highest price
When a bare model id matched several OpenRouter entries by tail, the first feed
entry won, making the resolved price depend on feed order and risking an
undercharge if a cheaper reseller happened to sort first. Pick the
highest-priced candidate instead: deterministic and money-safe, since
undercharging is the hazard. An exact id match still wins ahead of any tail
match. Measured against the live feed there are zero bare-tail collisions
today, so this only governs the latent case.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 15:40:43 +02:00
Jeroen UbbinkandClaude Opus 4.8 ccee76b31e fix(upstream): source litellm context from max_input_tokens only
litellm's max_tokens is the completion cap (it equals max_output_tokens for
~94% of models), not the context window, so falling back to it overstated the
context as the output limit. Take context from max_input_tokens alone; a model
that reports none falls through to the id-based estimate downstream, which is
honest about being a guess rather than mislabelling the output cap.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 15:39:41 +02:00
Jeroen UbbinkandClaude Opus 4.8 9f04525c82 fix(upstream): reject unusable litellm prices instead of resolving them
A litellm cost entry that lists a model but prices both tokens at 0 (free
moderation/rerank tiers) was resolved as a real price, importing the model
enabled and served for free. Reject a both-zero (or negative) litellm hit so
the caller falls through to the next source or fails closed, mirroring the
_has_valid_pricing check the OpenRouter feed already applies.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 15:39:03 +02:00
9qeklajcandGitHub c81de0de0a Merge pull request #583 from Routstr/fix/cache-pricing-ui
make cache prices configurable
2026-07-04 21:54:30 +02:00
9qeklajc 12c4c1f030 make cache prices configurable 2026-07-04 21:49:05 +02:00
9qeklajcandGitHub 81658d0ba6 Merge pull request #561 from Routstr/fix/refund-truly-empty-responses
fix(payment): refund truly-empty upstream responses billed a non-zero USD cost
2026-07-04 21:42:46 +02:00
9qeklajc ee5ced10c7 refactor(payment): extract shared _empty_cost helper; drop .gitignore change
Address PR #561 review:
- Extract the all-zero refund cost object into _empty_cost(), reused by
  both the no-usage-data path and the truly-empty USD-cost path.
- Revert the .gitignore additions; those belong in a separate PR.
2026-07-04 20:13:01 +02:00
Jeroen UbbinkandClaude Opus 4.8 2a27fb239e fix(upstream): resolve generic provider pricing instead of fabricating it
A generic (OpenAI-compatible) upstream whose /models response omits pricing
was silently defaulting to $0.001/M tokens and a 4096 context window. For a
provider like DeepSeek that reports no price, this undercharged real usage by
~280x — a direct money leak — while presenting a plausible-looking price.

Resolve each model through trust-ordered sources instead: the provider's
native schema (Venice's model_spec) first, then litellm's bundled cost map
(curated list prices), then the OpenRouter feed. Capture the richer metadata
those sources carry (cache rates, modalities, max output tokens, context)
rather than only price and context. When no source knows the model, import it
disabled with a warning rather than invent a number, so an operator can price
it before it serves traffic.

Context has no trustworthy source of last resort, but it is not a billing
input, so a model priced without a reported context window falls back to an
id-based estimate. The whole source-incomplete fallback (price chain +
context estimate) lives in one pricing_resolver module so it can later be
hoisted into the base provider unchanged.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-03 14:42:33 +02:00
Jeroen UbbinkandClaude Opus 4.8 ffde661d93 refactor(payment): extract litellm_cost_entry lookup helper
Pull the litellm model_cost lookup (both id spellings + case-insensitive
fallback) out of backfill_cache_pricing into a reusable litellm_cost_entry
helper. No behaviour change; the upstream price resolver reuses the same
lookup semantics.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-03 14:42:17 +02:00
9qeklajcandGitHub b7fcf000af Merge pull request #577 from jeroenubbink/refactor/provider-identity
refactor(upstream): resolve a provider's own row by primary key
2026-07-01 22:11:29 +02:00
9qeklajcandGitHub a1af1383e1 Merge pull request #514 from Routstr/add-provider-indentifier
add provider slug
2026-07-01 17:46:13 +02:00
9qeklajc 5bedbd129f use file path 2026-07-01 17:08:28 +02:00
9qeklajc f588147b41 use slug base 2026-07-01 17:01:32 +02:00
9qeklajc 17bc949597 add test 2026-07-01 16:53:52 +02:00
9qeklajc 7705656016 resolve review comment 2026-07-01 16:40:31 +02:00
Jeroen UbbinkandClaude Opus 4.8 434283c58d refactor(upstream): resolve a provider's own row by primary key
A live upstream provider re-finds its own database row in two places —
PPQ.AI's insufficient-balance self-disable and the base
refresh_models_cache — with WHERE base_url == self.base_url AND
api_key == self.api_key. That uses a rotatable secret as a self-handle:
if the row's key rotates under a live object, it can no longer find
itself.

Carry the row's primary key on the instance as db_id, stamped centrally
by from_db_row via a _build_from_row construction hook that subclasses
override, and look the row up with session.get(UpstreamProviderRow,
db_id). This also closes a latent gap where providers built outside the
init path (auto-topup) never received db_id.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 12:53:31 +02:00
9qeklajc 9fcf870e3f add provider slug 2026-06-29 23:30:09 +02:00
9qeklajcandGitHub 782b233d40 Merge pull request #573 from Routstr/fix-deepseek-calculation
update-pricing
2026-06-29 22:29:42 +02:00
9qeklajc 0c7373675f solidify logic 2026-06-27 22:53:35 +02:00
9qeklajc a33ea5da07 update-pricing 2026-06-27 16:01:45 +02:00
9qeklajcandClaude Opus 4.8 b509581950 fix(deps): bump aiohttp, pyjwt, python-multipart, pydantic-settings for security advisories
Resolves Dependabot alerts:
- aiohttp 3.12.15 -> 3.14.1 (#192-200: websocket/parser/SSRF/CRLF fixes)
- pyjwt 2.10.1 -> 2.13.0 (#183-187: HMAC/JWK forgery, SSRF, DoS)
- python-multipart 0.0.20 -> 0.0.32 (#188-191: quadratic-time DoS, smuggling)
- pydantic-settings 2.14.0 -> 2.14.2 (#210: symlink secrets_dir escape)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-27 14:49:47 +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
43 changed files with 2455 additions and 590 deletions
-8
View File
@@ -34,14 +34,6 @@ UPSTREAM_API_KEY=your-upstream-api-key
# LOG_LEVEL=INFO
# ENABLE_CONSOLE_LOGGING=true
# SentryStr: mirror logs to Nostr relays (requires `pip install sentrystr`).
# Announcements run on a background worker thread so they never block requests.
# ENABLE_SENTRYSTR=false
# SENTRYSTR_LOG_LEVEL=ERROR # defaults to ERROR; keep >= LOG_LEVEL
# SENTRYSTR_RELAYS="wss://relay.damus.io,wss://nos.lol" # defaults to RELAYS
# SENTRYSTR_NSEC=nsec1... # defaults to NSEC; ephemeral key if unset
# SENTRYSTR_RECIPIENT_NPUB=npub1... # if set, log events are NIP-44 encrypted
# Custom Model Management
# BASE_URL=https://openrouter.ai/api/v1
# MODELS_PATH=models.json
@@ -0,0 +1,88 @@
"""add slug to upstream_providers
Revision ID: c6d7e8f9a0b1
Revises: b5e7c9d1f3a2
Create Date: 2026-06-29 00:00:00.000000
"""
from __future__ import annotations
import sqlalchemy as sa
from alembic import op
from routstr.core.provider_slugs import provider_slug_base, provider_slug_candidate
revision = "c6d7e8f9a0b1"
down_revision = "b5e7c9d1f3a2"
branch_labels = None
depends_on = None
def _allocate_backfill_slug(provider_type: str, reserved_slugs: set[str]) -> str:
base = provider_slug_base(provider_type)
suffix_number = 1
while True:
candidate = provider_slug_candidate(base, suffix_number)
if candidate not in reserved_slugs:
reserved_slugs.add(candidate)
return candidate
suffix_number += 1
def _backfill_provider_slugs(conn: sa.Connection) -> None:
existing_rows = conn.execute(
sa.text(
"SELECT slug FROM upstream_providers "
"WHERE slug IS NOT NULL AND slug != ''"
)
)
reserved_slugs = {str(row.slug).lower() for row in existing_rows}
rows_to_backfill = conn.execute(
sa.text(
"SELECT id, provider_type FROM upstream_providers "
"WHERE slug IS NULL OR slug = '' "
"ORDER BY id"
)
)
for row in rows_to_backfill:
slug = _allocate_backfill_slug(str(row.provider_type), reserved_slugs)
conn.execute(
sa.text("UPDATE upstream_providers SET slug = :slug WHERE id = :id"),
{"slug": slug, "id": row.id},
)
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
columns = {c["name"] for c in inspector.get_columns("upstream_providers")}
if "slug" not in columns:
op.add_column(
"upstream_providers",
sa.Column("slug", sa.String(), nullable=True),
)
_backfill_provider_slugs(conn)
existing_indexes = {idx["name"] for idx in inspector.get_indexes("upstream_providers")}
if "ix_upstream_providers_slug" not in existing_indexes:
op.create_index(
"ix_upstream_providers_slug",
"upstream_providers",
["slug"],
unique=True,
)
def downgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
existing_indexes = {idx["name"] for idx in inspector.get_indexes("upstream_providers")}
if "ix_upstream_providers_slug" in existing_indexes:
op.drop_index("ix_upstream_providers_slug", table_name="upstream_providers")
columns = {c["name"] for c in inspector.get_columns("upstream_providers")}
if "slug" in columns:
op.drop_column("upstream_providers", "slug")
+1 -6
View File
@@ -1,6 +1,6 @@
[project]
name = "routstr"
version = "0.4.3"
version = "0.4.4"
description = "Payment proxy for your LLM endpoint using cashu and nostr."
readme = "README.md"
requires-python = ">=3.11"
@@ -23,11 +23,6 @@ dependencies = [
"litellm>=1.55.0",
]
[project.optional-dependencies]
# Decentralized log mirroring to Nostr relays. Enable at runtime with
# ENABLE_SENTRYSTR=true (see routstr/core/logging.py).
sentrystr = ["sentrystr>=0.2.0"]
[dependency-groups]
dev = [
"mypy>=1.15.0",
+41 -1
View File
@@ -259,11 +259,26 @@ async def refund_wallet_endpoint(
)
)
in_tx = in_tx_result.first()
cashu_fingerprint = hashlib.sha256(x_cashu.encode()).hexdigest()[:16]
if in_tx is None:
logger.info(
"refund_wallet_endpoint: x-cashu inbound transaction not found",
extra={"cashu_fingerprint": cashu_fingerprint},
)
raise HTTPException(status_code=404, detail="Refund not found")
# Use the request_id to find the associated "out" (refund) transaction
if in_tx.request_id is None:
logger.info(
"refund_wallet_endpoint: x-cashu inbound transaction has no request_id",
extra={
"cashu_fingerprint": cashu_fingerprint,
"cashu_transaction_id": in_tx.id,
"amount": in_tx.amount,
"unit": in_tx.unit,
"mint_url": in_tx.mint_url,
},
)
raise HTTPException(status_code=404, detail="Refund not found")
out_tx_result = await session.exec(
@@ -274,8 +289,33 @@ async def refund_wallet_endpoint(
)
out_tx = out_tx_result.first()
if out_tx is None:
raise HTTPException(status_code=404, detail="Refund not found")
logger.info(
"refund_wallet_endpoint: x-cashu refund transaction not ready",
extra={
"cashu_fingerprint": cashu_fingerprint,
"cashu_transaction_id": in_tx.id,
"refund_request_id": in_tx.request_id,
"amount": in_tx.amount,
"unit": in_tx.unit,
"mint_url": in_tx.mint_url,
"age_seconds": max(0, int(time.time()) - in_tx.created_at),
},
)
raise HTTPException(
status_code=425,
detail="Refund not ready. Retry later.",
headers={"Retry-After": "5"},
)
if out_tx.swept:
logger.info(
"refund_wallet_endpoint: x-cashu refund transaction already swept",
extra={
"cashu_fingerprint": cashu_fingerprint,
"cashu_transaction_id": in_tx.id,
"refund_transaction_id": out_tx.id,
"refund_request_id": in_tx.request_id,
},
)
raise HTTPException(status_code=410, detail="Refund has been swept")
out_tx.collected = True
+219 -127
View File
@@ -1,5 +1,6 @@
import asyncio
import json
import re
import secrets
from datetime import datetime, timezone
from pathlib import Path
@@ -8,6 +9,7 @@ from fastapi import APIRouter, Depends, HTTPException, Query, Request
from pydantic import BaseModel, RootModel
from pydantic.v1 import ValidationError as PydanticValidationError
from sqlmodel import select
from sqlmodel.ext.asyncio.session import AsyncSession
from ..payment.models import _row_to_model, list_models
from ..proxy import refresh_model_maps, reinitialize_upstreams
@@ -29,6 +31,7 @@ from .db import (
)
from .log_manager import log_manager
from .logging import get_logger
from .provider_slugs import allocate_unique_provider_slug
from .settings import SettingsService, settings
logger = get_logger(__name__)
@@ -456,19 +459,18 @@ class ModelCreate(BaseModel):
dependencies=[Depends(require_admin_api)],
)
async def upsert_provider_model(
provider_id: int, payload: ModelCreate
provider_id: str, payload: ModelCreate
) -> dict[str, object]:
print(payload)
logger.info(
f"UPSERT_PROVIDER_MODEL called: provider_id={provider_id}, model_id={payload.id}"
)
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
provider_pk = _provider_pk(provider)
# Try to get existing model
existing_row = await session.get(ModelRow, (payload.id, provider_id))
existing_row = await session.get(ModelRow, (payload.id, provider_pk))
if existing_row:
# Update existing model
@@ -524,7 +526,7 @@ async def upsert_provider_model(
alias_ids=(
json.dumps(payload.alias_ids) if payload.alias_ids else None
),
upstream_provider_id=provider_id,
upstream_provider_id=provider_pk,
enabled=payload.enabled,
forwarded_model_id=payload.forwarded_model_id or payload.id,
)
@@ -543,7 +545,7 @@ async def upsert_provider_model(
dependencies=[Depends(require_admin_api)],
)
async def update_provider_model_legacy(
provider_id: int, model_id: str, payload: ModelCreate
provider_id: str, model_id: str, payload: ModelCreate
) -> dict[str, object]:
"""Legacy PATCH endpoint - redirects to upsert POST endpoint for backward compatibility."""
logger.info(
@@ -556,13 +558,12 @@ async def update_provider_model_legacy(
"/api/upstream-providers/{provider_id}/models/{model_id:path}",
dependencies=[Depends(require_admin_api)],
)
async def get_provider_model(provider_id: int, model_id: str) -> dict[str, object]:
async def get_provider_model(provider_id: str, model_id: str) -> dict[str, object]:
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
provider_pk = _provider_pk(provider)
row = await session.get(ModelRow, (model_id, provider_id))
row = await session.get(ModelRow, (model_id, provider_pk))
if not row:
raise HTTPException(
status_code=404, detail="Model not found for this provider"
@@ -576,9 +577,11 @@ async def get_provider_model(provider_id: int, model_id: str) -> dict[str, objec
"/api/upstream-providers/{provider_id}/models/{model_id:path}",
dependencies=[Depends(require_admin_api)],
)
async def delete_provider_model(provider_id: int, model_id: str) -> dict[str, object]:
async def delete_provider_model(provider_id: str, model_id: str) -> dict[str, object]:
async with create_session() as session:
row = await session.get(ModelRow, (model_id, provider_id))
provider = await _get_upstream_provider_by_ref(session, provider_id)
provider_pk = _provider_pk(provider)
row = await session.get(ModelRow, (model_id, provider_pk))
if not row:
raise HTTPException(
status_code=404, detail="Model not found for this provider"
@@ -593,10 +596,12 @@ async def delete_provider_model(provider_id: int, model_id: str) -> dict[str, ob
"/api/upstream-providers/{provider_id}/models",
dependencies=[Depends(require_admin_api)],
)
async def delete_all_provider_models(provider_id: int) -> dict[str, object]:
async def delete_all_provider_models(provider_id: str) -> dict[str, object]:
async with create_session() as session:
provider = await _get_upstream_provider_by_ref(session, provider_id)
provider_pk = _provider_pk(provider)
result = await session.exec(
select(ModelRow).where(ModelRow.upstream_provider_id == provider_id)
select(ModelRow).where(ModelRow.upstream_provider_id == provider_pk)
) # type: ignore
rows = result.all()
for row in rows:
@@ -615,7 +620,7 @@ class BatchOverrideRequest(BaseModel):
dependencies=[Depends(require_admin_api)],
)
async def batch_override_provider_models(
provider_id: int, payload: BatchOverrideRequest
provider_id: str, payload: BatchOverrideRequest
) -> dict[str, object]:
"""Batch override models for a specific provider."""
logger.info(
@@ -623,15 +628,14 @@ async def batch_override_provider_models(
)
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
provider_pk = _provider_pk(provider)
overridden_count = 0
for model_data in payload.models:
# Try to get existing model regardless of whether it's enabled or not
existing_row = await session.get(ModelRow, (model_data.id, provider_id))
existing_row = await session.get(ModelRow, (model_data.id, provider_pk))
if existing_row:
# Update existing
@@ -685,7 +689,7 @@ async def batch_override_provider_models(
if model_data.alias_ids
else None
),
upstream_provider_id=provider_id,
upstream_provider_id=provider_pk,
enabled=model_data.enabled,
)
session.add(row)
@@ -702,6 +706,85 @@ async def batch_override_provider_models(
}
_SLUG_PATTERN = re.compile(r"^[a-z0-9][a-z0-9-]{1,62}[a-z0-9]$")
def _validate_slug(value: str) -> str:
candidate = value.strip().lower()
if not _SLUG_PATTERN.fullmatch(candidate):
raise HTTPException(
status_code=400,
detail=(
"slug must be 3-64 chars, lowercase letters/digits/hyphens, "
"and may not start or end with a hyphen"
),
)
if candidate.isdigit():
raise HTTPException(
status_code=400,
detail="slug must not be all digits",
)
return candidate
async def _ensure_unique_slug(
session: AsyncSession, slug: str, exclude_id: int | None = None
) -> None:
stmt = select(UpstreamProviderRow).where(UpstreamProviderRow.slug == slug)
result = await session.exec(stmt)
existing = result.first()
if existing and existing.id != exclude_id:
raise HTTPException(
status_code=409,
detail="Provider with this slug already exists",
)
async def _get_upstream_provider_by_ref(
session: AsyncSession, provider_ref: str
) -> UpstreamProviderRow:
if provider_ref.isdigit():
provider = await session.get(UpstreamProviderRow, int(provider_ref))
else:
slug = _validate_slug(provider_ref)
result = await session.exec(
select(UpstreamProviderRow).where(UpstreamProviderRow.slug == slug)
)
provider = result.first()
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
return provider
def _provider_pk(provider: UpstreamProviderRow) -> int:
if provider.id is None:
raise HTTPException(status_code=500, detail="Provider has no database id")
return provider.id
def _serialize_provider(
provider: UpstreamProviderRow, redact_api_key: bool = True
) -> dict[str, object]:
return {
"id": provider.id,
"slug": provider.slug,
"provider_type": provider.provider_type,
"base_url": provider.base_url,
"api_key": "[REDACTED]"
if (redact_api_key and provider.api_key)
else provider.api_key
if not redact_api_key
else "",
"api_version": provider.api_version,
"enabled": provider.enabled,
"provider_fee": provider.provider_fee,
"provider_settings": json.loads(provider.provider_settings)
if provider.provider_settings
else None,
}
class UpstreamProviderCreate(BaseModel):
provider_type: str
base_url: str
@@ -710,6 +793,7 @@ class UpstreamProviderCreate(BaseModel):
enabled: bool = True
provider_fee: float = 1.01
provider_settings: dict | None = None
slug: str | None = None
class UpstreamProviderUpdate(BaseModel):
@@ -720,6 +804,50 @@ class UpstreamProviderUpdate(BaseModel):
enabled: bool | None = None
provider_fee: float | None = None
provider_settings: dict | None = None
slug: str | None = None
class UpstreamProviderUpdateBySlug(BaseModel):
slug: str
new_slug: str | None = None
provider_type: str | None = None
base_url: str | None = None
api_key: str | None = None
api_version: str | None = None
enabled: bool | None = None
provider_fee: float | None = None
provider_settings: dict | None = None
async def _apply_provider_update(
session: AsyncSession,
provider: UpstreamProviderRow,
payload: UpstreamProviderUpdate,
new_slug: str | None = None,
) -> None:
if new_slug is not None:
validated = _validate_slug(new_slug)
await _ensure_unique_slug(session, validated, exclude_id=provider.id)
provider.slug = validated
if payload.provider_type is not None:
provider.provider_type = payload.provider_type
if payload.base_url is not None:
provider.base_url = payload.base_url
if payload.api_key is not None:
provider.api_key = payload.api_key
if payload.api_version is not None:
provider.api_version = payload.api_version
if payload.enabled is not None:
provider.enabled = payload.enabled
if payload.provider_fee is not None:
provider.provider_fee = payload.provider_fee
if payload.provider_settings is not None:
provider.provider_settings = json.dumps(payload.provider_settings)
session.add(provider)
await session.commit()
await session.refresh(provider)
@admin_router.get("/api/upstream-providers", dependencies=[Depends(require_admin_api)])
@@ -727,21 +855,7 @@ async def get_upstream_providers() -> list[dict[str, object]]:
async with create_session() as session:
result = await session.exec(select(UpstreamProviderRow))
providers = result.all()
return [
{
"id": p.id,
"provider_type": p.provider_type,
"base_url": p.base_url,
"api_key": "[REDACTED]" if p.api_key else "",
"api_version": p.api_version,
"enabled": p.enabled,
"provider_fee": p.provider_fee,
"provider_settings": json.loads(p.provider_settings)
if p.provider_settings
else None,
}
for p in providers
]
return [_serialize_provider(p) for p in providers]
@admin_router.post("/api/upstream-providers", dependencies=[Depends(require_admin_api)])
@@ -761,7 +875,14 @@ async def create_upstream_provider(
detail="Provider with this base URL and API key already exists",
)
if payload.slug:
slug = _validate_slug(payload.slug)
await _ensure_unique_slug(session, slug)
else:
slug = await allocate_unique_provider_slug(session, payload.provider_type)
provider = UpstreamProviderRow(
slug=slug,
provider_type=payload.provider_type,
base_url=payload.base_url,
api_key=payload.api_key,
@@ -778,99 +899,81 @@ async def create_upstream_provider(
await reinitialize_upstreams()
await refresh_model_maps()
return {
"id": provider.id,
"provider_type": provider.provider_type,
"base_url": provider.base_url,
"api_key": "[REDACTED]",
"api_version": provider.api_version,
"enabled": provider.enabled,
"provider_fee": provider.provider_fee,
"provider_settings": payload.provider_settings,
}
return _serialize_provider(provider)
@admin_router.get(
"/api/upstream-providers/{provider_id}", dependencies=[Depends(require_admin_api)]
)
async def get_upstream_provider(provider_id: int) -> dict[str, object]:
async def get_upstream_provider(provider_id: str) -> dict[str, object]:
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
return {
"id": provider.id,
"provider_type": provider.provider_type,
"base_url": provider.base_url,
"api_key": "[REDACTED]" if provider.api_key else "",
"api_version": provider.api_version,
"enabled": provider.enabled,
"provider_fee": provider.provider_fee,
"provider_settings": json.loads(provider.provider_settings)
if provider.provider_settings
else None,
}
provider = await _get_upstream_provider_by_ref(session, provider_id)
return _serialize_provider(provider)
@admin_router.patch(
"/api/upstream-providers/{provider_id}", dependencies=[Depends(require_admin_api)]
)
async def update_upstream_provider(
provider_id: int, payload: UpstreamProviderUpdate
provider_id: str, payload: UpstreamProviderUpdate
) -> dict[str, object]:
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
if payload.provider_type is not None:
provider.provider_type = payload.provider_type
if payload.base_url is not None:
provider.base_url = payload.base_url
if payload.api_key is not None:
provider.api_key = payload.api_key
if payload.api_version is not None:
provider.api_version = payload.api_version
if payload.enabled is not None:
provider.enabled = payload.enabled
if payload.provider_fee is not None:
provider.provider_fee = payload.provider_fee
if payload.provider_settings is not None:
provider.provider_settings = json.dumps(payload.provider_settings)
session.add(provider)
await session.commit()
await session.refresh(provider)
await _apply_provider_update(session, provider, payload, new_slug=payload.slug)
await reinitialize_upstreams()
await refresh_model_maps()
return {
"id": provider.id,
"provider_type": provider.provider_type,
"base_url": provider.base_url,
"api_key": "[REDACTED]",
"api_version": provider.api_version,
"enabled": provider.enabled,
"provider_fee": provider.provider_fee,
"provider_settings": json.loads(provider.provider_settings)
if provider.provider_settings
else None,
}
return _serialize_provider(provider)
@admin_router.patch(
"/api/upstream-providers", dependencies=[Depends(require_admin_api)]
)
async def update_upstream_provider_by_slug(
payload: UpstreamProviderUpdateBySlug,
) -> dict[str, object]:
lookup = _validate_slug(payload.slug)
async with create_session() as session:
result = await session.exec(
select(UpstreamProviderRow).where(
UpstreamProviderRow.slug == lookup
)
)
provider = result.first()
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
update_payload = UpstreamProviderUpdate(
provider_type=payload.provider_type,
base_url=payload.base_url,
api_key=payload.api_key,
api_version=payload.api_version,
enabled=payload.enabled,
provider_fee=payload.provider_fee,
provider_settings=payload.provider_settings,
)
await _apply_provider_update(
session, provider, update_payload, new_slug=payload.new_slug
)
await reinitialize_upstreams()
await refresh_model_maps()
return _serialize_provider(provider)
@admin_router.delete(
"/api/upstream-providers/{provider_id}", dependencies=[Depends(require_admin_api)]
)
async def delete_upstream_provider(provider_id: int) -> dict[str, object]:
async def delete_upstream_provider(provider_id: str) -> dict[str, object]:
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
deleted_id = _provider_pk(provider)
await session.delete(provider)
await session.commit()
await reinitialize_upstreams()
await refresh_model_maps()
return {"ok": True, "deleted_id": provider_id}
return {"ok": True, "deleted_id": deleted_id}
@admin_router.get("/api/provider-types", dependencies=[Depends(require_admin_api)])
@@ -885,17 +988,16 @@ async def get_provider_types() -> list[dict[str, object]]:
"/api/upstream-providers/{provider_id}/models",
dependencies=[Depends(require_admin_api)],
)
async def get_provider_models(provider_id: int) -> dict[str, object]:
async def get_provider_models(provider_id: str) -> dict[str, object]:
from ..upstream.helpers import _instantiate_provider
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
provider_pk = _provider_pk(provider)
db_models = await list_models(
session=session,
upstream_id=provider_id,
upstream_id=provider_pk,
include_disabled=True,
apply_fees=False,
)
@@ -985,13 +1087,11 @@ class TopupTokenRequest(BaseModel):
dependencies=[Depends(require_admin_api)],
)
async def topup_provider_with_token(
provider_id: int, payload: TopupTokenRequest
provider_id: str, payload: TopupTokenRequest
) -> dict:
"""Redeem a Cashu token for an upstream provider."""
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
import httpx
@@ -1022,15 +1122,13 @@ async def topup_provider_with_token(
dependencies=[Depends(require_admin_api)],
)
async def initiate_provider_topup(
provider_id: int, payload: TopupRequest
provider_id: str, payload: TopupRequest
) -> dict[str, object]:
"""Initiate a Lightning Network top-up for the upstream provider account."""
from ..upstream.helpers import _instantiate_provider
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
try:
logger.info(
@@ -1150,15 +1248,13 @@ async def initiate_provider_topup(
"/api/upstream-providers/{provider_id}/topup/{invoice_id}/status",
dependencies=[Depends(require_admin_api)],
)
async def check_topup_status(provider_id: int, invoice_id: str) -> dict[str, object]:
async def check_topup_status(provider_id: str, invoice_id: str) -> dict[str, object]:
"""Check the status of a Lightning Network top-up invoice."""
from ..upstream.helpers import _instantiate_provider
from ..upstream.ppqai import PPQAIUpstreamProvider
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
# For Routstr providers, proxy the status check
if provider.provider_type == "routstr":
@@ -1205,14 +1301,12 @@ async def check_topup_status(provider_id: int, invoice_id: str) -> dict[str, obj
"/api/upstream-providers/{provider_id}/balance",
dependencies=[Depends(require_admin_api)],
)
async def get_provider_balance(provider_id: int) -> dict[str, object]:
async def get_provider_balance(provider_id: str) -> dict[str, object]:
"""Get the current balance for an upstream provider account."""
from ..upstream.helpers import _instantiate_provider
async with create_session() as session:
provider = await session.get(UpstreamProviderRow, provider_id)
if not provider:
raise HTTPException(status_code=404, detail="Provider not found")
provider = await _get_upstream_provider_by_ref(session, provider_id)
# For Routstr providers, proxy the balance check
if provider.provider_type == "routstr":
@@ -1591,15 +1685,13 @@ async def get_lightning_invoices_api(
"/api/upstream-providers/{provider_id}/routstr/refund",
dependencies=[Depends(require_admin_api)],
)
async def refund_routstr_provider_balance(provider_id: int) -> dict[str, object]:
async def refund_routstr_provider_balance(provider_id: str) -> dict[str, object]:
"""Refund balance from an upstream Routstr provider back to the local wallet."""
from ..upstream.helpers import _instantiate_provider
from ..upstream.routstr import RoutstrUpstreamProvider
async with create_session() as session:
provider_row = await session.get(UpstreamProviderRow, provider_id)
if not provider_row:
raise HTTPException(status_code=404, detail="Provider not found")
provider_row = await _get_upstream_provider_by_ref(session, provider_id)
if provider_row.provider_type != "routstr":
raise HTTPException(
+6
View File
@@ -319,6 +319,12 @@ class UpstreamProviderRow(SQLModel, table=True): # type: ignore
),
)
id: int | None = Field(default=None, primary_key=True)
slug: str | None = Field(
default=None,
unique=True,
index=True,
description="Stable external slug used for updates via API key.",
)
provider_type: str = Field(
description="Provider type: custom, openai, anthropic, azure, openrouter, etc."
)
+21 -150
View File
@@ -232,46 +232,31 @@ class SecurityFilter(logging.Filter):
"refund_address",
}
def _scrub(self, message: str) -> str:
"""Redact secrets from a single string."""
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
r"nsec[a-z0-9]+", # Nostr Public / Private Key
]
for pattern in standalone_patterns:
message = re.sub(pattern, "[REDACTED]", message, flags=re.IGNORECASE)
for key in self.SENSITIVE_KEYS:
if key in message.lower():
key_patterns = [
rf"{key}\s*[:=]\s*([a-zA-Z0-9_\-\.=/+]+)", # key:value or key=value (including any variant with spaces)
rf'{key}\s*[:=]\s*["\']([^"\']+)["\']', # key:"value" or key='value' (including any variant with spaces)
]
for pattern in key_patterns:
message = re.sub(
pattern, f"{key}: [REDACTED]", message, flags=re.IGNORECASE
)
return message
def filter(self, record: logging.LogRecord) -> bool:
"""Filter out sensitive information from log records."""
try:
message = redact_org_ids(record.getMessage())
record.msg = self._scrub(message)
record.args = ()
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
r"nsec[a-z0-9]+", # Nostr Public / Private Key
]
for pattern in standalone_patterns:
message = re.sub(pattern, "[REDACTED]", message, flags=re.IGNORECASE)
# The exception traceback is appended by the *formatter* (e.g. when a
# QueueHandler flattens the record before it is announced to the
# public, permanent SentryStr relays), so the message scrub above
# never sees it. Pre-render and redact it here and cache the result
# in `exc_text` so every formatter reuses the scrubbed version.
if record.exc_info and record.exc_info[0] is not None and not record.exc_text:
record.exc_text = logging.Formatter().formatException(record.exc_info)
if record.exc_text:
record.exc_text = self._scrub(redact_org_ids(record.exc_text))
if record.stack_info:
record.stack_info = self._scrub(redact_org_ids(record.stack_info))
for key in self.SENSITIVE_KEYS:
if key in message.lower():
key_patterns = [
rf"{key}\s*[:=]\s*([a-zA-Z0-9_\-\.=/+]+)", # key:value or key=value (including any variant with spaces)
rf'{key}\s*[:=]\s*["\']([^"\']+)["\']', # key:"value" or key='value' (including any variant with spaces)
]
for pattern in key_patterns:
message = re.sub(
pattern, f"{key}: [REDACTED]", message, flags=re.IGNORECASE
)
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
@@ -467,120 +452,6 @@ def setup_logging() -> None:
logging.config.dictConfig(LOGGING_CONFIG)
_install_sentrystr_logging(LOGGING_CONFIG)
# Handle for the background SentryStr logging worker (None when disabled).
_sentrystr_handle: Any = None
# Bound on the in-memory queue feeding the background SentryStr worker. Records
# beyond this are dropped rather than blocking the caller or growing memory
# without limit when a relay is slow or unreachable.
_SENTRYSTR_QUEUE_SIZE = 10_000
# Max seconds to wait for the queued backlog to flush on shutdown before
# abandoning it, so shutdown cannot hang on a slow or unreachable relay.
_SENTRYSTR_SHUTDOWN_TIMEOUT = 10.0
def _install_sentrystr_logging(logging_config: dict[str, Any]) -> None:
"""Mirror routstr application logs to Nostr relays via SentryStr.
Announcing to relays blocks, so SentryStr's installer runs the publish on a
dedicated background worker thread fed by an in-memory queue; the request /
event-loop threads only pay the cost of enqueueing a record. Disabled unless
`ENABLE_SENTRYSTR` is set. Any failure here is swallowed so optional logging
can never take down startup.
"""
global _sentrystr_handle
if _sentrystr_handle is not None:
return
try:
from .settings import settings
except Exception:
return
if not getattr(settings, "enable_sentrystr", False):
return
routstr_logger = logging.getLogger("routstr")
relays = list(settings.sentrystr_relays or settings.relays or [])
if not relays:
routstr_logger.warning(
"SentryStr logging is enabled but no relays are configured; set "
"SENTRYSTR_RELAYS or RELAYS. Skipping SentryStr logging."
)
return
try:
from sentrystr import install_sentrystr_logging
except Exception:
routstr_logger.warning(
"SentryStr logging is enabled but the `sentrystr` package is not "
"installed. Install it with `pip install sentrystr`. Skipping "
"SentryStr logging."
)
return
# Default to ERROR: these events are announced to public, permanent relays,
# so only genuine problems should be mirrored unless the operator opts into
# something more verbose via SENTRYSTR_LOG_LEVEL. (Keep this at or above
# LOG_LEVEL; a lower value is gated out by the routstr loggers' own level.)
level = (settings.sentrystr_log_level or "ERROR").upper()
# routstr application loggers set propagate=False, so the handler must be
# attached to each of them rather than relying on propagation to the root.
routstr_loggers = [
name
for name in logging_config.get("loggers", {})
if name == "routstr" or name.startswith("routstr.")
] or ["routstr"]
try:
_sentrystr_handle = install_sentrystr_logging(
relays=relays,
private_key=(settings.sentrystr_nsec or settings.nsec or None),
level=level,
loggers=routstr_loggers,
recipient_pubkey=(settings.sentrystr_recipient_npub or None),
platform="routstr",
formatter=logging.Formatter("%(message)s"),
# Run the same scrubbing/enrichment filters used by the other
# handlers, on the calling thread, before records are handed to the
# background worker. RequestIdFilter must run here because it reads a
# ContextVar that is only set on the request thread; SecurityFilter
# must run here so secrets are redacted before anything is announced
# to the (public, permanent) relays. Passing them to the installer
# attaches them before the handler goes live, so no record can slip
# through unfiltered during startup.
filters=[RequestIdFilter(), SecurityFilter()],
# Bound the queue so a slow/unreachable relay can't grow memory.
queue_size=_SENTRYSTR_QUEUE_SIZE,
)
except Exception as exc:
routstr_logger.warning("Failed to initialize SentryStr logging: %s", exc)
return
routstr_logger.info(
"SentryStr logging enabled",
extra={"sentrystr_level": level, "sentrystr_relay_count": len(relays)},
)
def shutdown_sentrystr_logging() -> None:
"""Flush and stop the background SentryStr logging worker, if running."""
global _sentrystr_handle
handle = _sentrystr_handle
_sentrystr_handle = None
if handle is not None:
try:
handle.close(timeout=_SENTRYSTR_SHUTDOWN_TIMEOUT)
except Exception:
pass
def get_logger(name: str) -> logging.Logger:
"""Get a logger instance for the given module name."""
-7
View File
@@ -230,13 +230,6 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
extra={"error": str(e), "error_type": type(e).__name__},
)
# Flush and stop the background SentryStr logging worker (no-op when
# SentryStr logging is disabled). Run off the event loop: the drain is
# blocking (though bounded) and must not stall the loop during shutdown.
from .logging import shutdown_sentrystr_logging
await asyncio.to_thread(shutdown_sentrystr_logging)
class _ImmutableStaticFiles(StaticFiles):
"""Static files with long Cache-Control for content-hashed Next.js assets.
+65
View File
@@ -0,0 +1,65 @@
from __future__ import annotations
import re
from itertools import count
from typing import Collection
from sqlmodel import select
from sqlmodel.ext.asyncio.session import AsyncSession
from .db import UpstreamProviderRow
_SLUG_BASE_PATTERN = re.compile(r"[^a-z0-9]+")
_MAX_SLUG_LENGTH = 64
def provider_slug_base(provider_type: str) -> str:
"""Return a deterministic slug base for a provider type."""
base = _SLUG_BASE_PATTERN.sub("-", provider_type.lower()).strip("-")
if not base:
base = "provider"
elif base.isdigit():
base = f"provider-{base}"
elif len(base) < 3:
base = f"{base}-provider"
if len(base) > _MAX_SLUG_LENGTH:
base = base[:_MAX_SLUG_LENGTH].rstrip("-") or "provider"
return base
def provider_slug_candidate(base: str, suffix_number: int) -> str:
if suffix_number == 1:
return base
suffix = f"-{suffix_number}"
max_base_length = _MAX_SLUG_LENGTH - len(suffix)
return f"{base[:max_base_length].rstrip('-')}{suffix}"
async def allocate_unique_provider_slug(
session: AsyncSession,
provider_type: str,
reserved_slugs: Collection[str] = (),
) -> str:
"""Allocate a stable, deterministic provider slug.
The first provider of a type gets ``openai``; later collisions get
``openai-2``, ``openai-3``, etc. ``reserved_slugs`` covers rows staged in
memory but not flushed yet, such as settings/env seeding.
"""
base = provider_slug_base(provider_type)
reserved = {slug.lower() for slug in reserved_slugs}
for suffix_number in count(1):
candidate = provider_slug_candidate(base, suffix_number)
if candidate in reserved:
continue
result = await session.exec(
select(UpstreamProviderRow).where(UpstreamProviderRow.slug == candidate)
)
if result.first() is None:
return candidate
raise RuntimeError("unreachable")
+1 -21
View File
@@ -16,12 +16,7 @@ class Settings(BaseSettings):
@classmethod
def parse_env_var(cls, field_name: str, raw_value: str) -> Any: # type: ignore[override]
if field_name in {
"cashu_mints",
"cors_origins",
"relays",
"sentrystr_relays",
}:
if field_name in {"cashu_mints", "cors_origins", "relays"}:
v = str(raw_value).strip()
if v == "":
return []
@@ -108,21 +103,6 @@ class Settings(BaseSettings):
log_level: str = Field(default="INFO", env="LOG_LEVEL")
enable_console_logging: bool = Field(default=True, env="ENABLE_CONSOLE_LOGGING")
# SentryStr (decentralized logging to Nostr relays). When enabled, routstr
# application logs at `sentrystr_log_level` and above are mirrored to Nostr
# relays on a background worker thread (see routstr/core/logging.py).
enable_sentrystr: bool = Field(default=False, env="ENABLE_SENTRYSTR")
# Minimum level forwarded to relays. Empty -> defaults to ERROR. Should be
# at or above `log_level`, since the routstr loggers gate lower records.
sentrystr_log_level: str = Field(default="", env="SENTRYSTR_LOG_LEVEL")
# Relays to announce to. Empty -> fall back to the discovery `relays`.
sentrystr_relays: list[str] = Field(default_factory=list, env="SENTRYSTR_RELAYS")
# Secret key (nsec or hex) used to sign log events. Empty -> fall back to
# `nsec`; if that is also empty an ephemeral key is generated per process.
sentrystr_nsec: str = Field(default="", env="SENTRYSTR_NSEC")
# Optional recipient npub. When set, log events are NIP-44 encrypted to it.
sentrystr_recipient_npub: str = Field(default="", env="SENTRYSTR_RECIPIENT_NPUB")
# Other
chat_completions_api_version: str = Field(
default="", env="CHAT_COMPLETIONS_API_VERSION"
+1 -1
View File
@@ -20,7 +20,7 @@ import subprocess
from functools import lru_cache
from pathlib import Path
BASE_VERSION = "0.4.3"
BASE_VERSION = "0.4.4"
_REPO_ROOT = Path(__file__).resolve().parents[2]
_GIT_TIMEOUT_SECONDS = 2.0
+44 -13
View File
@@ -41,6 +41,28 @@ class CostDataError(BaseModel):
code: str
def _empty_cost(cls: type[CostData] = CostData) -> CostData:
"""Build an all-zero cost object — a full refund for an empty response.
Shared by the two paths that must not bill: an upstream response with no
usage data at all, and one that reports a USD cost but carries zero tokens
in every bucket.
"""
return cls(
base_msats=0,
input_msats=0,
output_msats=0,
total_msats=0,
total_usd=0.0,
input_tokens=0,
output_tokens=0,
cache_read_input_tokens=0,
cache_creation_input_tokens=0,
cache_read_msats=0,
cache_creation_msats=0,
)
async def calculate_cost(
response_data: dict,
max_cost: int,
@@ -83,19 +105,7 @@ async def calculate_cost(
else None,
},
)
return MaxCostData(
base_msats=0,
input_msats=0,
output_msats=0,
total_msats=0,
total_usd=0.0,
input_tokens=0,
output_tokens=0,
cache_read_input_tokens=0,
cache_creation_input_tokens=0,
cache_read_msats=0,
cache_creation_msats=0,
)
return _empty_cost(MaxCostData)
usage_data = response_data.get("usage") or {}
if not isinstance(usage_data, dict):
@@ -109,6 +119,27 @@ async def calculate_cost(
# Try USD cost first
usd_cost = _resolve_usd_cost(usage_data, response_data)
if usd_cost > 0:
truly_empty = (
input_tokens == 0
and output_tokens == 0
and cache_read_tokens == 0
and cache_creation_tokens == 0
)
if truly_empty:
logger.warning(
"Upstream reported a USD cost but the response carries no "
"tokens at all (input, output, cache-read and cache-creation "
"are all zero) — refunding in full rather than billing the "
"USD-derived cost for an empty response.",
extra={
"model": response_data.get("model", "unknown"),
"usd_cost": usd_cost,
"usage_keys": sorted(usage_data.keys())
if isinstance(usage_data, dict)
else None,
},
)
return _empty_cost()
if input_tokens == 0 and output_tokens == 0:
logger.warning(
"Upstream reported a USD cost but no token counts — "
+46 -14
View File
@@ -85,6 +85,30 @@ class Model(BaseModel):
return hash(self.id)
def litellm_cost_entry(model_id: str) -> dict | None:
"""Look up ``model_id`` in litellm's bundled cost map.
litellm ships per-model USD rates keyed by the exact OpenRouter id
(``deepseek/deepseek-chat``) or the bare model name (``gpt-4o``,
``claude-sonnet-4-5``), so both spellings are tried. Keys are lowercase, so
a mixed-case upstream id (``deepseek-ai/DeepSeek-V4-Flash``) is retried via
a case-insensitive scan. Returns the matched cost dict, or ``None``.
"""
import litellm
candidates = (model_id, model_id.split("/", 1)[-1])
for key in candidates:
info = litellm.model_cost.get(key)
if isinstance(info, dict):
return info
lowered = {c.lower() for c in candidates}
for key, info in litellm.model_cost.items():
if isinstance(key, str) and key.lower() in lowered and isinstance(info, dict):
return info
return None
def backfill_cache_pricing(model_id: str, pricing: Pricing) -> Pricing:
"""Fill missing cache rates from litellm's bundled cost map.
@@ -92,9 +116,8 @@ def backfill_cache_pricing(model_id: str, pricing: Pricing) -> Pricing:
for many models (most DeepSeek entries, openai/gpt-4o, ...). Without a
cache rate, billing falls back to the full input rate, which overcharges
cache reads (DeepSeek hits are 10x cheaper) and undercharges Anthropic
cache writes (1.25x). litellm ships per-model USD rates keyed by the exact
OpenRouter id (deepseek/deepseek-chat) or by the bare model name
(gpt-4o, claude-sonnet-4-5), so both spellings are tried.
cache writes (1.25x). The lookup (see ``litellm_cost_entry``) tries both
id spellings and a case-insensitive fallback.
Rates already present (e.g. provided by OpenRouter) are authoritative and
never overwritten. Unknown models are returned unchanged.
@@ -104,14 +127,7 @@ def backfill_cache_pricing(model_id: str, pricing: Pricing) -> Pricing:
if not (needs_read or needs_write):
return pricing
import litellm
info: dict | None = None
for key in (model_id, model_id.split("/", 1)[-1]):
candidate = litellm.model_cost.get(key)
if isinstance(candidate, dict):
info = candidate
break
info = litellm_cost_entry(model_id)
if info is None:
return pricing
@@ -215,13 +231,29 @@ def _row_to_model(
)
top_provider_dict = json.loads(row.top_provider) if row.top_provider else None
if apply_provider_fee and isinstance(pricing, dict):
pricing = {k: float(v) * provider_fee for k, v in pricing.items()}
if isinstance(pricing, dict) and float(pricing.get("request", 0.0)) <= 0.0:
pricing["request"] = max(pricing.get("request", 0.0), 0.0)
parsed_pricing = Pricing.parse_obj(pricing)
# Fill missing cache-read/write rates from litellm's cost map BEFORE applying
# the provider fee, so they carry the same markup as every other component.
# DB-stored override pricing (e.g. generic providers) omits cache rates;
# without this, ``_row_to_model`` bills cache reads at the full input rate —
# the ``_apply_provider_fee_to_model`` path backfills, but the override path
# used for admin-configured providers did not.
#
# Key on ``forwarded_model_id`` (the actual upstream model name litellm
# prices) when set: an alias row (id="local-alias",
# forwarded_model_id="deepseek-v4-flash") would otherwise look up the alias
# and miss the cache rate.
pricing_model_id = getattr(row, "forwarded_model_id", None) or row.id
parsed_pricing = backfill_cache_pricing(pricing_model_id, parsed_pricing)
if apply_provider_fee:
parsed_pricing = Pricing.parse_obj(
{k: float(v) * provider_fee for k, v in parsed_pricing.dict().items()}
)
model = Model(
id=row.id,
name=row.name,
+1 -1
View File
@@ -24,7 +24,7 @@ class AnthropicUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "AnthropicUpstreamProvider":
return cls(
+2
View File
@@ -97,6 +97,8 @@ async def _check_and_topup(row: UpstreamProviderRow) -> None:
# Instantiate provider and check balance
provider = RoutstrUpstreamProvider.from_db_row(row)
if provider is None:
return
balance = await provider.get_balance()
if balance is None:
+1 -1
View File
@@ -38,7 +38,7 @@ class AzureUpstreamProvider(BaseUpstreamProvider):
self.api_version = api_version
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "AzureUpstreamProvider | None":
if not provider_row.api_version:
+31 -13
View File
@@ -6,13 +6,12 @@ import math
import traceback
import uuid
from collections.abc import AsyncGenerator, AsyncIterator, Iterator
from typing import Any, Mapping, cast
from typing import Any, Mapping, Self, cast
import httpx
from fastapi import BackgroundTasks, HTTPException, Request
from fastapi.responses import Response, StreamingResponse
from pydantic.v1 import BaseModel
from sqlmodel import select
from ..auth import adjust_payment_for_tokens
from ..core import get_logger
@@ -92,6 +91,11 @@ class BaseUpstreamProvider:
base_url: str
api_key: str
provider_fee: float = 1.05
# Primary key of the ``upstream_providers`` row this instance was built
# from. Set by ``from_db_row`` so a live provider can re-find its own row by
# stable identity instead of its rotatable ``api_key``. ``None`` for
# instances not sourced from a row.
db_id: int | None = None
_models_cache: list[Model] = []
_models_by_id: dict[str, Model] = {}
@@ -106,6 +110,7 @@ class BaseUpstreamProvider:
self.base_url = base_url
self.api_key = api_key
self.provider_fee = provider_fee
self.db_id = None
self._models_cache = []
self._models_by_id = {}
@@ -123,10 +128,13 @@ class BaseUpstreamProvider:
return detect_litellm_prefix(self.base_url)
@classmethod
def from_db_row(
cls, provider_row: "UpstreamProviderRow"
) -> "BaseUpstreamProvider | None":
"""Factory method to instantiate provider from database row.
def from_db_row(cls, provider_row: "UpstreamProviderRow") -> "Self | None":
"""Instantiate a provider from a database row, carrying its identity.
Construction itself is delegated to the ``_build_from_row`` hook (which
subclasses override to match their constructor); this wrapper stamps the
row's primary key onto the instance as ``db_id`` so the provider can
later re-find its own row by identity rather than by its ``api_key``.
Args:
provider_row: Database row containing provider configuration
@@ -134,6 +142,19 @@ class BaseUpstreamProvider:
Returns:
Instantiated provider or None if instantiation fails
"""
provider = cls._build_from_row(provider_row)
if provider is not None:
provider.db_id = provider_row.id
return provider
@classmethod
def _build_from_row(cls, provider_row: "UpstreamProviderRow") -> "Self | None":
"""Construct the provider instance from a row (no identity stamping).
Overridden by subclasses whose constructors differ from the base
``(base_url, api_key, provider_fee)`` shape. Callers should use
``from_db_row`` instead, which also attaches ``db_id``.
"""
return cls(
base_url=provider_row.base_url,
api_key=provider_row.api_key,
@@ -4878,14 +4899,11 @@ class BaseUpstreamProvider:
"""Refresh the in-memory models cache from upstream API."""
try:
async with create_session() as session:
stmt = select(UpstreamProviderRow).where(
UpstreamProviderRow.base_url == self.base_url,
UpstreamProviderRow.api_key == self.api_key,
provider = (
await session.get(UpstreamProviderRow, self.db_id)
if self.db_id is not None
else None
)
result = await session.exec(stmt)
# .first() returns the object or None if not found
provider = result.first()
if not provider or not provider.id:
raise HTTPException(status_code=404, detail="Provider not found")
+16 -9
View File
@@ -3,10 +3,15 @@
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).
rate a large overcharge on cache hits (DeepSeek V4 hits are ~0.008-0.02x
input, i.e. cached tokens cost 50-120x less than regular 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
so the existing backfill path resolves them. Rates mirror the canonical
``deepseek`` provider entries now in litellm's ``model_prices`` map
(``input_cost_per_token`` is the cache-*miss* rate;
``cache_read_input_token_cost`` is the cache-*hit* rate), sourced from
https://api-docs.deepseek.com/quick_start/pricing via
https://github.com/BerriAI/litellm/pull/26380 (issue
https://github.com/BerriAI/litellm/issues/30430).
@@ -22,21 +27,23 @@ from ..core import get_logger
logger = get_logger(__name__)
# USD per token. Source: BerriAI/litellm PR #26380.
# USD per token. Mirrors the canonical ``deepseek`` provider entries in
# litellm's model_prices map (source: DeepSeek API pricing docs). Keep these in
# sync with ``litellm.model_cost["deepseek/deepseek-v4-*"]``.
_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_read_input_token_cost": 2.8e-09,
"cache_creation_input_token_cost": 0.0,
"input_cost_per_token_cache_hit": 2.8e-08,
"input_cost_per_token_cache_hit": 2.8e-09,
},
"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,
"input_cost_per_token": 4.35e-07,
"output_cost_per_token": 8.7e-07,
"cache_read_input_token_cost": 3.625e-09,
"cache_creation_input_token_cost": 0.0,
"input_cost_per_token_cache_hit": 1.4e-07,
"input_cost_per_token_cache_hit": 3.625e-09,
},
}
+1 -1
View File
@@ -20,7 +20,7 @@ class FireworksUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "FireworksUpstreamProvider":
return cls(
+1 -1
View File
@@ -51,7 +51,7 @@ class GeminiUpstreamProvider(BaseUpstreamProvider):
return self._client
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "GeminiUpstreamProvider":
return cls(
+92 -45
View File
@@ -5,6 +5,12 @@ from typing import TYPE_CHECKING
import httpx
from .base import BaseUpstreamProvider
from .pricing_resolver import (
FallbackPricingResolver,
ResolvedPricing,
_as_float,
estimate_context_length,
)
if TYPE_CHECKING:
from ..core.db import UpstreamProviderRow
@@ -45,7 +51,7 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "GenericUpstreamProvider":
return cls(
@@ -64,6 +70,40 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
"platform_url": cls.platform_url,
}
def _native_pricing(
self, model_id: str, model_spec: dict
) -> ResolvedPricing | None:
"""Read pricing/metadata from Venice's bespoke ``model_spec`` schema.
Returns ``None`` when the upstream reported no *usable* native price
absent, non-numeric, negative, or both-zero so the caller falls
through to the shared resolution chain instead of fabricating a number
or trusting a bogus one. This mirrors the money-safety guards the
litellm and OpenRouter rungs already apply: a both-zero price would
serve the model free, a negative one would credit the caller, and a
non-numeric string would otherwise throw and drop the whole catalog.
"""
pricing_info = model_spec.get("pricing", {})
input_usd = _as_float(pricing_info.get("input", {}).get("usd"))
output_usd = _as_float(pricing_info.get("output", {}).get("usd"))
if input_usd is None or output_usd is None:
return None
if input_usd < 0 or output_usd < 0 or (input_usd == 0 and output_usd == 0):
return None
capabilities = model_spec.get("capabilities", {})
input_modalities = ["text"]
if capabilities.get("supportsVision", False):
input_modalities.append("image")
return ResolvedPricing(
prompt=input_usd / 1_000_000,
completion=output_usd / 1_000_000,
context_length=model_spec.get("availableContextTokens"),
source="native",
input_modalities=input_modalities,
)
async def fetch_models(self) -> list[Model]:
"""Fetch models from upstream API using /models endpoint."""
from ..payment.models import Architecture, Model, Pricing, TopProvider
@@ -78,6 +118,7 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
response.raise_for_status()
data = response.json()
resolver = FallbackPricingResolver()
models_list = []
for model_data in data.get("data", []):
model_id = model_data.get("id", "")
@@ -89,41 +130,44 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
owned_by = model_data.get("owned_by", "unknown")
model_spec = model_data.get("model_spec", {})
context_length = 4096
if model_spec.get("availableContextTokens"):
context_length = model_spec["availableContextTokens"]
elif any(
pattern in model_id.lower() for pattern in ["32k", "32000"]
):
context_length = 32768
elif any(
pattern in model_id.lower() for pattern in ["16k", "16000"]
):
context_length = 16384
elif any(pattern in model_id.lower() for pattern in ["8k", "8000"]):
context_length = 8192
elif "gpt-4" in model_id.lower():
context_length = 8192
elif "claude" in model_id.lower():
context_length = 200000
resolved = self._native_pricing(model_id, model_spec)
if resolved is None:
resolved = await resolver.resolve(model_id)
pricing_info = model_spec.get("pricing", {})
input_pricing = pricing_info.get("input", {})
output_pricing = pricing_info.get("output", {})
if resolved is None:
# Fail closed: never invent a price. Import the model
# disabled with a warning so the operator can price it
# (the admin UI surfaces disabled remote models).
logger.warning(
f"No pricing source resolved for '{model_id}' from "
f"{self.upstream_name}; importing it disabled",
extra={"model_id": model_id, "base_url": self.base_url},
)
resolved = ResolvedPricing(
prompt=0.0,
completion=0.0,
context_length=None,
source="unresolved",
)
enabled = False
else:
enabled = True
prompt_price = input_pricing.get("usd", 0.001) / 1000000
completion_price = output_pricing.get("usd", 0.001) / 1000000
# Prefer the source's own modality string (OpenRouter ships
# one, e.g. "text+image->text"); otherwise derive it from the
# captured input/output modalities in the same "in->out" shape
# rather than flattening vision models to "text->text".
modality = resolved.modality or (
f"{'+'.join(resolved.input_modalities)}"
f"->{'+'.join(resolved.output_modalities)}"
)
capabilities = model_spec.get("capabilities", {})
input_modalities = ["text"]
output_modalities = ["text"]
if capabilities.get("supportsVision", False):
input_modalities.append("image")
modality = "text"
if capabilities.get("supportsVision", False):
modality = "text->text"
# A source can carry a price but no context (e.g. a litellm
# entry missing max_input_tokens); fall back to an id-based
# estimate so we never persist a zero-length window.
context_length = resolved.context_length or estimate_context_length(
model_id
)
spec_name = model_spec.get("name", model_name)
description = f"{spec_name}"
@@ -139,30 +183,33 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
context_length=context_length,
architecture=Architecture(
modality=modality,
input_modalities=input_modalities,
output_modalities=output_modalities,
tokenizer="unknown",
instruct_type=None,
input_modalities=resolved.input_modalities,
output_modalities=resolved.output_modalities,
tokenizer=resolved.tokenizer,
instruct_type=resolved.instruct_type,
),
pricing=Pricing(
prompt=prompt_price,
completion=completion_price,
prompt=resolved.prompt,
completion=resolved.completion,
request=0.0,
image=0.0,
web_search=0.0,
internal_reasoning=0.0,
max_prompt_cost=0.001,
max_completion_cost=0.001,
max_cost=0.001,
input_cache_read=resolved.input_cache_read,
input_cache_write=resolved.input_cache_write,
),
sats_pricing=None,
per_request_limits=None,
top_provider=TopProvider(
context_length=context_length,
max_completion_tokens=context_length // 2,
is_moderated=False,
max_completion_tokens=(
resolved.max_completion_tokens
if resolved.max_completion_tokens is not None
else context_length // 2
),
is_moderated=bool(resolved.is_moderated),
),
enabled=True,
enabled=enabled,
upstream_provider_id=None,
canonical_slug=None,
)
+1 -1
View File
@@ -20,7 +20,7 @@ class GroqUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(cls, provider_row: "UpstreamProviderRow") -> "GroqUpstreamProvider":
def _build_from_row(cls, provider_row: "UpstreamProviderRow") -> "GroqUpstreamProvider":
return cls(
api_key=provider_row.api_key,
provider_fee=provider_row.provider_fee,
+24 -7
View File
@@ -12,6 +12,7 @@ from sqlmodel import select
from ..core import get_logger
from ..core.db import AsyncSession, ModelRow, UpstreamProviderRow, create_session
from ..core.provider_slugs import allocate_unique_provider_slug
from ..payment.models import Model
from .base import BaseUpstreamProvider
@@ -215,9 +216,6 @@ async def init_upstreams() -> list[BaseUpstreamProvider]:
provider = _instantiate_provider(provider_row)
if provider:
# Keep provider DB id on runtime instance so model mapping can
# bind DB overrides to the correct upstream.
setattr(provider, "db_id", provider_row.id)
await provider.refresh_models_cache()
logger.debug(
f"Initialized {provider_row.provider_type} provider",
@@ -250,6 +248,7 @@ async def _seed_providers_from_settings(
providers_to_add: list[UpstreamProviderRow] = []
seeded_provider_keys: set[tuple[str, str]] = set()
reserved_slugs: set[str] = set()
provider_classes_by_type = {
cls.provider_type: cls
@@ -279,8 +278,13 @@ async def _seed_providers_from_settings(
)
)
if not result.first():
slug = await allocate_unique_provider_slug(
session, provider_type, reserved_slugs
)
reserved_slugs.add(slug)
providers_to_add.append(
UpstreamProviderRow(
slug=slug,
provider_type=provider_type,
base_url=base_url,
api_key=api_key,
@@ -299,8 +303,13 @@ async def _seed_providers_from_settings(
)
)
if not result.first():
slug = await allocate_unique_provider_slug(
session, "ollama", reserved_slugs
)
reserved_slugs.add(slug)
providers_to_add.append(
UpstreamProviderRow(
slug=slug,
provider_type="ollama",
base_url=ollama_base_url,
api_key=ollama_api_key,
@@ -320,8 +329,13 @@ async def _seed_providers_from_settings(
)
)
if not result.first():
slug = await allocate_unique_provider_slug(
session, "azure", reserved_slugs
)
reserved_slugs.add(slug)
providers_to_add.append(
UpstreamProviderRow(
slug=slug,
provider_type="azure",
base_url=base_url,
api_key=api_key,
@@ -342,8 +356,13 @@ async def _seed_providers_from_settings(
)
)
if not result.first():
slug = await allocate_unique_provider_slug(
session, "custom", reserved_slugs
)
reserved_slugs.add(slug)
providers_to_add.append(
UpstreamProviderRow(
slug=slug,
provider_type="custom",
base_url=base_url,
api_key=api_key,
@@ -356,7 +375,7 @@ async def _seed_providers_from_settings(
session.add(provider)
logger.info(
f"Seeding {provider.provider_type} provider", # type: ignore[str-format]
extra={"base_url": provider.base_url},
extra={"base_url": provider.base_url, "slug": provider.slug},
)
@@ -391,9 +410,7 @@ def _instantiate_provider(
return provider
if provider_row.provider_type == "custom":
return BaseUpstreamProvider(
provider_row.base_url, provider_row.api_key, provider_row.provider_fee
)
return BaseUpstreamProvider.from_db_row(provider_row)
logger.error(
f"Unknown provider type: {provider_row.provider_type}",
+1 -1
View File
@@ -43,7 +43,7 @@ class OllamaUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "OllamaUpstreamProvider":
return cls(
+1 -1
View File
@@ -20,7 +20,7 @@ class OpenAIUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "OpenAIUpstreamProvider":
return cls(
+1 -1
View File
@@ -90,7 +90,7 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "OpenRouterUpstreamProvider":
return cls(
+1 -1
View File
@@ -23,7 +23,7 @@ class PerplexityUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "PerplexityUpstreamProvider":
return cls(
+5 -8
View File
@@ -46,7 +46,7 @@ class PPQAIUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "PPQAIUpstreamProvider":
return cls(
@@ -229,17 +229,14 @@ class PPQAIUpstreamProvider(BaseUpstreamProvider):
f"Disabling PPQ.AI provider ({self.base_url}) due to insufficient balance",
extra={"error": error_message},
)
from sqlmodel import select
from ..core.db import UpstreamProviderRow, create_session
async with create_session() as session:
statement = select(UpstreamProviderRow).where(
UpstreamProviderRow.base_url == self.base_url,
UpstreamProviderRow.api_key == self.api_key,
provider = (
await session.get(UpstreamProviderRow, self.db_id)
if self.db_id is not None
else None
)
result = await session.exec(statement)
provider = result.first()
if provider:
provider.enabled = False
+203
View File
@@ -0,0 +1,203 @@
"""Shared price/metadata resolution chain for upstream model discovery.
Most OpenAI-compatible ``/models`` responses carry no pricing. Rather than let
a provider fabricate one, this module resolves a model through decreasingly
trustworthy sources litellm's bundled cost map (curated list prices, mirrors
provider docs), then the OpenRouter feed (resale prices, broader coverage)
and returns ``None`` when none of them know the model, so the caller can fail
closed instead of inventing a number.
Provider-native pricing (a gateway's own ``/models`` schema, e.g. Venice's
``model_spec``) is authoritative and handled by the provider before this chain
is consulted; only the shared fallback lives here so a later refactor can hoist
it into the base provider unchanged.
"""
from __future__ import annotations
from dataclasses import dataclass, field
@dataclass
class ResolvedPricing:
"""Per-token pricing plus whatever metadata the answering source carried.
Prices are USD per token. ``source`` records provenance
(``native``/``litellm``/``openrouter``/``unresolved``) so later work can
surface where each price came from.
"""
prompt: float
completion: float
context_length: int | None
source: str
modality: str | None = None
max_completion_tokens: int | None = None
input_cache_read: float = 0.0
input_cache_write: float = 0.0
input_modalities: list[str] = field(default_factory=lambda: ["text"])
output_modalities: list[str] = field(default_factory=lambda: ["text"])
tokenizer: str = "unknown"
instruct_type: str | None = None
is_moderated: bool | None = None
def estimate_context_length(model_id: str) -> int:
"""Best-effort context window from a model id when no source reports one.
The last rung of the fallback chain, reached only for a model whose price
resolved but whose context did not (or that imported disabled). Context is
not a billing input, so a rough id-based guess is acceptable here where a
guessed *price* never would be.
"""
lowered = model_id.lower()
if any(pattern in lowered for pattern in ["32k", "32000"]):
return 32768
if any(pattern in lowered for pattern in ["16k", "16000"]):
return 16384
if any(pattern in lowered for pattern in ["8k", "8000"]):
return 8192
if "gpt-4" in lowered:
return 8192
if "claude" in lowered:
return 200000
return 4096
def _as_float(value: object) -> float | None:
"""OpenRouter reports prices as strings; coerce, ``None`` if unparseable."""
try:
return float(value) # type: ignore[arg-type]
except (TypeError, ValueError):
return None
def _as_int(value: object) -> int | None:
"""Coerce an already-numeric token count to ``int``, else ``None``."""
return int(value) if isinstance(value, (int, float)) else None
def _from_litellm(model_id: str) -> ResolvedPricing | None:
# Lazy import so the resolver stays import-light and shares the exact
# lookup semantics used by cache-rate backfill.
from ..payment.models import litellm_cost_entry
info = litellm_cost_entry(model_id)
if info is None:
return None
prompt = info.get("input_cost_per_token")
completion = info.get("output_cost_per_token")
if not isinstance(prompt, (int, float)) or not isinstance(completion, (int, float)):
return None
# A both-zero entry is litellm listing a model without a real price (free
# moderation/rerank tiers do this) — treating 0/0 as resolved would serve
# the model for free. Reject it (and any negative) so the caller falls
# through, mirroring async_fetch_openrouter_models' _has_valid_pricing.
if prompt < 0 or completion < 0 or (prompt == 0 and completion == 0):
return None
input_modalities = ["text"]
if info.get("supports_vision"):
input_modalities.append("image")
return ResolvedPricing(
prompt=float(prompt),
completion=float(completion),
# max_input_tokens is the context window; max_tokens is litellm's
# completion cap (it tracks max_output_tokens for ~94% of models), so
# it is never a context source. A missing window falls to the id-based
# estimate downstream rather than borrowing the output cap.
context_length=_as_int(info.get("max_input_tokens")),
source="litellm",
max_completion_tokens=_as_int(info.get("max_output_tokens")),
input_cache_read=float(info.get("cache_read_input_token_cost") or 0.0),
input_cache_write=float(info.get("cache_creation_input_token_cost") or 0.0),
input_modalities=input_modalities,
)
def _match_openrouter(model_id: str, feed: list[dict]) -> dict | None:
"""Find ``model_id`` in the OpenRouter feed, exact id before bare tail.
Bare-tail matching (``deepseek-chat`` ``deepseek/deepseek-chat``) is a
looser, lower-trust match OpenRouter fans a model out across resellers
so an exact id match always wins first. When several entries share the bare
tail, the one with the highest *combined* (prompt + completion) per-token
cost wins: the choice must be deterministic (not feed-order-dependent) and
money-safe whichever way traffic leans, since undercharging is the hazard.
Ranking on prompt alone could pick an entry that is cheap on input but dear
on output. The live feed has no such collisions today; this only governs
the latent case.
"""
bare = model_id.split("/", 1)[-1]
exact = next((m for m in feed if m.get("id") == model_id), None)
if exact is not None:
return exact
matches = [m for m in feed if m.get("id", "").split("/", 1)[-1] == bare]
if not matches:
return None
def _combined_cost(m: dict) -> float:
pricing = m.get("pricing", {})
return (_as_float(pricing.get("prompt")) or 0.0) + (
_as_float(pricing.get("completion")) or 0.0
)
return max(matches, key=_combined_cost)
def _from_openrouter(model_id: str, feed: list[dict]) -> ResolvedPricing | None:
entry = _match_openrouter(model_id, feed)
if entry is None:
return None
pricing = entry.get("pricing", {})
prompt = _as_float(pricing.get("prompt"))
completion = _as_float(pricing.get("completion"))
if prompt is None or completion is None:
return None
architecture = entry.get("architecture", {})
top_provider = entry.get("top_provider", {})
return ResolvedPricing(
prompt=prompt,
completion=completion,
context_length=_as_int(entry.get("context_length")),
source="openrouter",
modality=architecture.get("modality"),
max_completion_tokens=_as_int(top_provider.get("max_completion_tokens")),
input_cache_read=_as_float(pricing.get("input_cache_read")) or 0.0,
input_cache_write=_as_float(pricing.get("input_cache_write")) or 0.0,
input_modalities=architecture.get("input_modalities") or ["text"],
output_modalities=architecture.get("output_modalities") or ["text"],
tokenizer=architecture.get("tokenizer") or "unknown",
instruct_type=architecture.get("instruct_type"),
is_moderated=top_provider.get("is_moderated"),
)
class FallbackPricingResolver:
"""Resolves models via litellm → OpenRouter for one discovery pass.
The OpenRouter catalog is fetched at most once and only when a model
actually misses litellm, so a provider full of litellm-known models never
touches the network. Instantiate one per ``fetch_models`` call.
"""
def __init__(self) -> None:
self._openrouter_feed: list[dict] | None = None
async def resolve(self, model_id: str) -> ResolvedPricing | None:
"""Resolve ``model_id``; ``None`` if no source knows it."""
resolved = _from_litellm(model_id)
if resolved is not None:
return resolved
if self._openrouter_feed is None:
# Lazy import so tests can patch the feed at its source.
from ..payment.models import async_fetch_openrouter_models
self._openrouter_feed = await async_fetch_openrouter_models()
return _from_openrouter(model_id, self._openrouter_feed)
+1 -1
View File
@@ -55,7 +55,7 @@ class RoutstrUpstreamProvider(BaseUpstreamProvider):
return path.lstrip("/")
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "RoutstrUpstreamProvider":
import json
+1 -1
View File
@@ -21,7 +21,7 @@ class XAIUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(cls, provider_row: "UpstreamProviderRow") -> "XAIUpstreamProvider":
def _build_from_row(cls, provider_row: "UpstreamProviderRow") -> "XAIUpstreamProvider":
return cls(
api_key=provider_row.api_key,
provider_fee=provider_row.provider_fee,
@@ -0,0 +1,229 @@
import json
from datetime import datetime, timedelta, timezone
from unittest.mock import patch
import pytest
from httpx import AsyncClient
from sqlmodel.ext.asyncio.session import AsyncSession
from routstr.core.admin import admin_sessions
from routstr.core.db import ModelRow, UpstreamProviderRow
from routstr.payment.cost_calculation import CostData, calculate_cost
from routstr.proxy import get_model_instance, reinitialize_upstreams
def _admin_headers() -> dict[str, str]:
token = "test-admin-cache-pricing-token"
admin_sessions[token] = int(
(datetime.now(timezone.utc) + timedelta(minutes=5)).timestamp()
)
return {"Authorization": f"Bearer {token}"}
def _model_payload(
provider_id: int,
*,
cache_read: float,
cache_write: float,
) -> dict[str, object]:
return {
"id": "custom-cache-model",
"name": "Custom Cache Model",
"description": "custom model with explicit cache pricing",
"created": 0,
"context_length": 128000,
"architecture": {
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "unknown",
"instruct_type": None,
},
"pricing": {
"prompt": 1.4e-7,
"completion": 2.8e-7,
"input_cache_read": cache_read,
"input_cache_write": cache_write,
"request": 0.0,
"image": 0.0,
"web_search": 0.0,
"internal_reasoning": 0.0,
},
"per_request_limits": None,
"top_provider": None,
"upstream_provider_id": provider_id,
"canonical_slug": None,
"alias_ids": [],
"enabled": True,
"forwarded_model_id": "custom-cache-model",
}
@pytest.mark.integration
@pytest.mark.asyncio
async def test_admin_provider_model_api_persists_cache_pricing_on_create_and_update(
integration_client: AsyncClient,
integration_session: AsyncSession,
) -> None:
provider = UpstreamProviderRow(
provider_type="generic",
base_url="https://custom-upstream.example/v1",
api_key="test-key",
provider_fee=1.0,
)
integration_session.add(provider)
await integration_session.commit()
await integration_session.refresh(provider)
assert provider.id is not None
await reinitialize_upstreams()
headers = _admin_headers()
create_payload = _model_payload(
provider.id,
cache_read=2.8e-9,
cache_write=3.5e-9,
)
with patch("routstr.payment.models.sats_usd_price", return_value=1e-6):
create_response = await integration_client.post(
f"/admin/api/upstream-providers/{provider.id}/models",
headers=headers,
json=create_payload,
)
assert create_response.status_code == 200
create_body = create_response.json()
assert create_body["pricing"]["input_cache_read"] == pytest.approx(2.8e-9)
assert create_body["pricing"]["input_cache_write"] == pytest.approx(3.5e-9)
row = await integration_session.get(ModelRow, ("custom-cache-model", provider.id))
assert row is not None
stored_pricing = json.loads(row.pricing)
assert stored_pricing["input_cache_read"] == pytest.approx(2.8e-9)
assert stored_pricing["input_cache_write"] == pytest.approx(3.5e-9)
update_payload = _model_payload(
provider.id,
cache_read=1.25e-9,
cache_write=4.5e-9,
)
with patch("routstr.payment.models.sats_usd_price", return_value=1e-6):
update_response = await integration_client.post(
f"/admin/api/upstream-providers/{provider.id}/models",
headers=headers,
json=update_payload,
)
assert update_response.status_code == 200
update_body = update_response.json()
assert update_body["pricing"]["input_cache_read"] == pytest.approx(1.25e-9)
assert update_body["pricing"]["input_cache_write"] == pytest.approx(4.5e-9)
await integration_session.refresh(row)
updated_pricing = json.loads(row.pricing)
assert updated_pricing["input_cache_read"] == pytest.approx(1.25e-9)
assert updated_pricing["input_cache_write"] == pytest.approx(4.5e-9)
model = get_model_instance("custom-cache-model")
assert model is not None
assert model.sats_pricing is not None
assert model.sats_pricing.input_cache_read == pytest.approx(0.00125)
assert model.sats_pricing.input_cache_write == pytest.approx(0.0045)
with patch("routstr.payment.cost_calculation.sats_usd_price", return_value=1e-6):
cost = await calculate_cost(
{
"model": "custom-cache-model",
"usage": {
"prompt_tokens": 1000,
"completion_tokens": 100,
"prompt_tokens_details": {"cached_tokens": 800},
},
},
max_cost=1_000_000,
)
assert isinstance(cost, CostData)
assert cost.input_tokens == 200
assert cost.cache_read_input_tokens == 800
assert cost.cache_read_msats == 1000
assert cost.output_msats == 28000
assert cost.input_msats == 29000
assert cost.total_msats == 57000
@pytest.mark.integration
@pytest.mark.asyncio
async def test_upstream_response_cost_uses_model_cache_pricing(
integration_session: AsyncSession,
patched_db_engine: None,
) -> None:
"""A model's configured cache price must discount upstream cached-token usage."""
provider = UpstreamProviderRow(
provider_type="generic",
base_url="https://cache-priced-upstream.example/v1",
api_key="test-key",
provider_fee=1.0,
)
integration_session.add(provider)
await integration_session.commit()
await integration_session.refresh(provider)
assert provider.id is not None
row = ModelRow(
id="cache-priced-model",
name="Cache Priced Model",
description="model seeded with explicit cache pricing",
created=0,
context_length=128000,
architecture=json.dumps(
{
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "unknown",
"instruct_type": None,
}
),
pricing=json.dumps(
{
"prompt": 1.4e-7,
"completion": 2.8e-7,
"input_cache_read": 1.25e-9,
"input_cache_write": 4.5e-9,
}
),
upstream_provider_id=provider.id,
enabled=True,
forwarded_model_id="cache-priced-model",
)
integration_session.add(row)
await integration_session.commit()
with patch("routstr.payment.models.sats_usd_price", return_value=1e-6):
await reinitialize_upstreams()
with patch("routstr.payment.cost_calculation.sats_usd_price", return_value=1e-6):
cost = await calculate_cost(
{
"model": "cache-priced-model",
"usage": {
"prompt_tokens": 1000,
"completion_tokens": 100,
"prompt_tokens_details": {"cached_tokens": 800},
},
},
max_cost=1_000_000,
)
assert isinstance(cost, CostData)
# prompt 1.4e-7 USD/token -> 0.14 sats/token -> 140 msats/token
# cache 1.25e-9 USD/token -> 0.00125 sats/token -> 1.25 msats/token
# completion 2.8e-7 USD/token -> 0.28 sats/token -> 280 msats/token
assert cost.input_tokens == 200
assert cost.cache_read_input_tokens == 800
assert cost.cache_read_msats == 1000
assert cost.input_msats == 29000
assert cost.output_msats == 28000
assert cost.total_msats == 57000
@@ -0,0 +1,128 @@
"""A live upstream provider resolves its OWN database row by stable identity
(its primary key), not by its mutable/secret ``api_key``.
Today ``from_db_row`` drops ``provider_row.id`` and the two self-referential
paths PPQ.AI's insufficient-balance self-disable and the base
``refresh_models_cache`` re-find their own row with
``WHERE base_url == self.base_url AND api_key == self.api_key``. That uses a
rotatable secret as a self-handle: the moment the row's key changes underneath a
live object (a rotation racing an in-flight request), the object can no longer
find itself. These tests pin the invariant that a provider looks itself up by
identity, so the lookup survives a key change (and, later, key encryption).
"""
from unittest.mock import AsyncMock, patch
import pytest
from routstr.core.db import UpstreamProviderRow
from routstr.upstream.ppqai import PPQAIUpstreamProvider
@pytest.mark.integration
@pytest.mark.asyncio
async def test_provider_object_carries_its_persistent_identity(
integration_session: object,
patched_db_engine: None,
) -> None:
"""``from_db_row`` gives the in-memory object its row's identity (``db_id``)."""
row = UpstreamProviderRow(
provider_type="ppqai",
base_url="https://api.ppq.ai",
api_key="sk-original",
enabled=True,
provider_fee=1.0,
)
integration_session.add(row) # type: ignore[attr-defined]
await integration_session.commit() # type: ignore[attr-defined]
await integration_session.refresh(row) # type: ignore[attr-defined]
provider = PPQAIUpstreamProvider.from_db_row(row)
assert provider is not None
assert provider.db_id == row.id
@pytest.mark.integration
@pytest.mark.asyncio
async def test_self_disable_targets_own_row_after_key_rotation(
integration_session: object,
patched_db_engine: None,
) -> None:
"""PPQ.AI self-disable must disable *its* row even after the key rotated.
RED (current): the object holds the pre-rotation key, so the
``(base_url, api_key)`` lookup misses the row the provider is never
disabled. GREEN: lookup by ``id`` finds it and disables it.
"""
row = UpstreamProviderRow(
provider_type="ppqai",
base_url="https://api.ppq.ai",
api_key="sk-original",
enabled=True,
provider_fee=1.0,
)
integration_session.add(row) # type: ignore[attr-defined]
await integration_session.commit() # type: ignore[attr-defined]
await integration_session.refresh(row) # type: ignore[attr-defined]
provider = PPQAIUpstreamProvider.from_db_row(row) # captures sk-original
assert provider is not None
# Key is rotated in the DB while `provider` is still live.
row.api_key = "sk-rotated"
integration_session.add(row) # type: ignore[attr-defined]
await integration_session.commit() # type: ignore[attr-defined]
with patch("routstr.proxy.reinitialize_upstreams", new=AsyncMock()):
await provider.on_upstream_error_redirect(402, "Insufficient balance")
await integration_session.refresh(row) # type: ignore[attr-defined]
assert row.enabled is False
@pytest.mark.integration
@pytest.mark.asyncio
async def test_refresh_models_cache_finds_own_row_after_key_rotation(
integration_session: object,
patched_db_engine: None,
) -> None:
"""``refresh_models_cache`` must resolve its own row after a key rotation.
``refresh_models_cache`` swallows every exception (it only logs), so the
observable proof it found its row is that it reaches ``list_models`` which
is called with the row's ``id`` only *after* the row is resolved. RED
(current): the stale-key ``(base_url, api_key)`` lookup returns nothing, the
method raises ``404`` internally and returns before ``list_models`` is ever
called. GREEN: lookup by ``id`` finds the row and ``list_models`` runs for
that ``id``.
"""
row = UpstreamProviderRow(
provider_type="ppqai",
base_url="https://api.ppq.ai",
api_key="sk-original",
enabled=True,
provider_fee=1.0,
)
integration_session.add(row) # type: ignore[attr-defined]
await integration_session.commit() # type: ignore[attr-defined]
await integration_session.refresh(row) # type: ignore[attr-defined]
row_id = row.id
provider = PPQAIUpstreamProvider.from_db_row(row) # captures sk-original
assert provider is not None
row.api_key = "sk-rotated"
integration_session.add(row) # type: ignore[attr-defined]
await integration_session.commit() # type: ignore[attr-defined]
list_models_mock = AsyncMock(return_value=[])
with (
patch.object(provider, "fetch_models", new=AsyncMock(return_value=[])),
patch("routstr.upstream.base.list_models", new=list_models_mock),
):
await provider.refresh_models_cache()
list_models_mock.assert_awaited_once()
assert list_models_mock.await_args is not None
assert list_models_mock.await_args.kwargs["upstream_id"] == row_id
+26 -4
View File
@@ -2,6 +2,7 @@ import json
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from fastapi import HTTPException
from fastapi.responses import JSONResponse
from routstr.balance import refund_wallet_endpoint
@@ -88,8 +89,6 @@ async def test_refund_x_cashu_sat_unit() -> None:
@pytest.mark.asyncio
async def test_refund_x_cashu_not_found_raises_404() -> None:
from fastapi import HTTPException
session = MagicMock()
session.exec = AsyncMock(return_value=_exec_result(None))
@@ -104,9 +103,32 @@ async def test_refund_x_cashu_not_found_raises_404() -> None:
@pytest.mark.asyncio
async def test_refund_x_cashu_swept_raises_410() -> None:
from fastapi import HTTPException
async def test_refund_x_cashu_pending_out_tx_raises_425() -> None:
in_tx = _make_cashu_tx(
token="cashuApending_token",
amount=0,
unit="msat",
type="in",
request_id="req-pending",
)
session = MagicMock()
session.exec = AsyncMock(side_effect=[_exec_result(in_tx), _exec_result(None)])
with pytest.raises(HTTPException) as exc_info:
await refund_wallet_endpoint(
authorization="Bearer sk-somekey",
x_cashu="cashuApending_token",
session=session,
)
assert exc_info.value.status_code == 425
assert exc_info.value.detail == "Refund not ready. Retry later."
assert exc_info.value.headers == {"Retry-After": "5"}
@pytest.mark.asyncio
async def test_refund_x_cashu_swept_raises_410() -> None:
in_tx = _make_cashu_tx(token="cashuAswept_token", amount=0, unit="msat", type="in", request_id="req-swept")
out_tx = _make_cashu_tx(token="cashuAswept", amount=100, unit="msat", type="out", request_id="req-swept", swept=True)
+102
View File
@@ -81,6 +81,21 @@ def test_backfill_strips_vendor_prefix_for_litellm_lookup() -> None:
assert result.input_cache_read == expected
def test_backfill_case_insensitive_lookup() -> None:
"""A generic upstream may report a mixed-case id
(deepseek-ai/DeepSeek-V4-Flash); litellm keys are lowercase. The
case-insensitive fallback still resolves the cache rate."""
pricing = Pricing(prompt=1.4e-07, completion=2.8e-07)
result = backfill_cache_pricing("deepseek-ai/DeepSeek-V4-Flash", pricing)
expected = litellm.model_cost["deepseek-v4-flash"][
"cache_read_input_token_cost"
]
assert result.input_cache_read == expected
assert result.input_cache_read < pricing.prompt # sanity: it's a discount
def test_backfill_fills_cache_write_rate() -> None:
"""Anthropic cache writes cost more than input (1.25x); billing them at
the input rate undercharges. litellm carries the write rate."""
@@ -136,6 +151,93 @@ def test_provider_fee_applies_to_backfilled_cache_rates() -> None:
assert adjusted.pricing.prompt == pytest.approx(2.8e-07 * 2.0)
def test_row_to_model_backfills_cache_rate() -> None:
"""The DB-override path (admin-configured providers, e.g. a generic
upstream) stores pricing without cache rates. ``_row_to_model`` must
backfill them from litellm just like ``_apply_provider_fee_to_model``,
otherwise cache reads bill at the full input rate."""
import json
from routstr.core.db import ModelRow
from routstr.payment.models import _row_to_model
row = ModelRow(
id="deepseek-v4-flash",
name="deepseek-v4-flash",
created=0,
description="",
context_length=1000000,
architecture=json.dumps(
{
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "unknown",
"instruct_type": None,
}
),
# Stored pricing omits input_cache_read (generic provider never sets it).
pricing=json.dumps({"prompt": 1.4e-07, "completion": 2.8e-07}),
enabled=True,
upstream_provider_id=1,
)
with patch(
"routstr.payment.models.sats_usd_price", return_value=5.0e-5
):
model = _row_to_model(row, apply_provider_fee=True, provider_fee=1.0)
litellm_read = litellm.model_cost["deepseek-v4-flash"][
"cache_read_input_token_cost"
]
assert model.pricing.input_cache_read == pytest.approx(litellm_read)
assert model.pricing.input_cache_read < model.pricing.prompt # a discount
assert model.sats_pricing is not None
assert model.sats_pricing.input_cache_read > 0
def test_row_to_model_backfills_via_forwarded_model_id() -> None:
"""An alias row (id != forwarded_model_id) must backfill cache rates from
the *forwarded* model name the real upstream model litellm prices
not the alias id, which litellm doesn't know."""
import json
from routstr.core.db import ModelRow
from routstr.payment.models import _row_to_model
row = ModelRow(
id="local-alias", # litellm has no such key
name="local-alias",
created=0,
description="",
context_length=1000000,
architecture=json.dumps(
{
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "unknown",
"instruct_type": None,
}
),
pricing=json.dumps({"prompt": 1.4e-07, "completion": 2.8e-07}),
enabled=True,
upstream_provider_id=1,
forwarded_model_id="deepseek-v4-flash",
)
with patch(
"routstr.payment.models.sats_usd_price", return_value=5.0e-5
):
model = _row_to_model(row, apply_provider_fee=True, provider_fee=1.0)
litellm_read = litellm.model_cost["deepseek-v4-flash"][
"cache_read_input_token_cost"
]
assert model.pricing.input_cache_read == pytest.approx(litellm_read)
assert model.pricing.input_cache_read < model.pricing.prompt
# ============================================================================
# calculate_cost — cached tokens billed at cache rates
# ============================================================================
@@ -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
# ============================================================================
@@ -0,0 +1,55 @@
from __future__ import annotations
import importlib.util
from pathlib import Path
import sqlalchemy as sa
_MIGRATION_PATH = (
Path(__file__).resolve().parents[2]
/ "migrations"
/ "versions"
/ "c6d7e8f9a0b1_add_slug_to_upstream_providers.py"
)
_spec = importlib.util.spec_from_file_location("provider_slug_migration", _MIGRATION_PATH)
assert _spec is not None and _spec.loader is not None
migration = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(migration)
def test_slug_migration_backfill_uses_api_safe_deterministic_slugs() -> None:
engine = sa.create_engine("sqlite:///:memory:")
with engine.begin() as conn:
conn.execute(
sa.text(
"CREATE TABLE upstream_providers ("
"id INTEGER PRIMARY KEY, "
"provider_type VARCHAR NOT NULL, "
"slug VARCHAR NULL"
")"
)
)
conn.execute(
sa.text(
"INSERT INTO upstream_providers (id, provider_type, slug) VALUES "
"(1, 'OpenAI Compatible', NULL), "
"(2, 'OpenAI Compatible', ''), "
"(3, '123', NULL), "
"(4, 'x', NULL), "
"(5, 'anthropic', 'anthropic')"
)
)
migration._backfill_provider_slugs(conn)
rows = conn.execute(
sa.text("SELECT id, slug FROM upstream_providers ORDER BY id")
).all()
assert rows == [
(1, "openai-compatible"),
(2, "openai-compatible-2"),
(3, "provider-123"),
(4, "x-provider"),
(5, "anthropic"),
]
+144
View File
@@ -0,0 +1,144 @@
from __future__ import annotations
import pytest
from sqlalchemy.ext.asyncio import create_async_engine
from sqlmodel import SQLModel, select
from sqlmodel.ext.asyncio.session import AsyncSession
from routstr.core.admin import _get_upstream_provider_by_ref
from routstr.core.db import UpstreamProviderRow
from routstr.core.provider_slugs import (
allocate_unique_provider_slug,
provider_slug_base,
)
from routstr.upstream.helpers import _seed_providers_from_settings
@pytest.mark.asyncio
async def test_allocate_unique_provider_slug_is_deterministic_with_suffixes() -> None:
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
async with engine.begin() as conn:
await conn.run_sync(SQLModel.metadata.create_all)
async with AsyncSession(engine) as session:
session.add(
UpstreamProviderRow(
slug="openai",
provider_type="openai",
base_url="https://api.openai.com/v1",
api_key="key-1",
)
)
await session.commit()
assert await allocate_unique_provider_slug(session, "openai") == "openai-2"
assert (
await allocate_unique_provider_slug(session, "openai", {"openai-2"})
== "openai-3"
)
await engine.dispose()
def test_provider_slug_base_sanitizes_provider_type() -> None:
assert provider_slug_base("OpenAI Compatible") == "openai-compatible"
assert provider_slug_base("!!!") == "provider"
assert provider_slug_base("AI") == "ai-provider"
assert provider_slug_base("123") == "provider-123"
@pytest.mark.asyncio
async def test_provider_ref_lookup_accepts_existing_numeric_ids_and_slugs() -> None:
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
async with engine.begin() as conn:
await conn.run_sync(SQLModel.metadata.create_all)
async with AsyncSession(engine) as session:
provider = UpstreamProviderRow(
slug="openai",
provider_type="openai",
base_url="https://api.openai.com/v1",
api_key="key-1",
)
session.add(provider)
await session.commit()
await session.refresh(provider)
by_id = await _get_upstream_provider_by_ref(session, str(provider.id))
by_slug = await _get_upstream_provider_by_ref(session, "openai")
assert by_id.id == provider.id
assert by_slug.id == provider.id
await engine.dispose()
@pytest.mark.asyncio
async def test_seed_providers_from_settings_sets_deterministic_slug(
monkeypatch: pytest.MonkeyPatch,
) -> None:
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
async with engine.begin() as conn:
await conn.run_sync(SQLModel.metadata.create_all)
monkeypatch.setenv("OPENAI_API_KEY", "seeded-openai-key")
class SettingsStub:
chat_completions_api_version: str | None = None
upstream_base_url: str | None = None
upstream_api_key: str = ""
async with AsyncSession(engine) as session:
await _seed_providers_from_settings(session, SettingsStub()) # type: ignore[arg-type]
await session.commit()
result = await session.exec(select(UpstreamProviderRow))
providers: list[UpstreamProviderRow] = list(result.all())
assert [(p.provider_type, p.slug) for p in providers] == [("openai", "openai")]
await engine.dispose()
@pytest.mark.asyncio
async def test_seed_providers_from_settings_keeps_slug_stable_on_reseed(
monkeypatch: pytest.MonkeyPatch,
) -> None:
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
async with engine.begin() as conn:
await conn.run_sync(SQLModel.metadata.create_all)
monkeypatch.setenv("OPENAI_API_KEY", "seeded-openai-key")
class SettingsStub:
chat_completions_api_version: str | None = None
upstream_base_url: str | None = None
upstream_api_key: str = ""
async with AsyncSession(engine) as session:
session.add(
UpstreamProviderRow(
slug="openai",
provider_type="openai",
base_url="https://example.invalid/v1",
api_key="other-key",
)
)
await session.commit()
await _seed_providers_from_settings(session, SettingsStub()) # type: ignore[arg-type]
await session.commit()
await _seed_providers_from_settings(session, SettingsStub()) # type: ignore[arg-type]
await session.commit()
result = await session.exec(
select(UpstreamProviderRow).order_by(UpstreamProviderRow.slug)
)
providers: list[UpstreamProviderRow] = list(result.all())
assert [(p.provider_type, p.slug) for p in providers] == [
("openai", "openai"),
("openai", "openai-2"),
]
await engine.dispose()
+524
View File
@@ -0,0 +1,524 @@
"""Unit tests for ``GenericUpstreamProvider.fetch_models`` price/metadata resolution.
A generic upstream is any OpenAI-compatible API. Most (DeepSeek, OpenAI,
Groq, ...) answer ``/models`` with bare ``{id, object, owned_by}`` entries that
carry *no* pricing. The provider must not fabricate a price for those: it
resolves through native ``model_spec`` (Venice's bespoke schema) → litellm's
bundled cost map the OpenRouter feed, and only when every source misses does
it import the model **disabled** with a warning rather than invent a number.
These tests drive that behaviour through the public ``fetch_models`` API. The
``/models`` HTTP call is faked at ``httpx.AsyncClient``; the OpenRouter feed is
patched at its source (``routstr.payment.models.async_fetch_openrouter_models``)
so the resolver's lazy import picks up the stub. litellm's real bundled cost map
is used unmocked the DeepSeek rates it ships are the assertion's ground truth.
"""
from __future__ import annotations
import logging
from typing import Any
from unittest.mock import AsyncMock, patch
import pytest
from routstr.upstream.generic import GenericUpstreamProvider
class _FakeResponse:
def __init__(self, payload: dict[str, Any]) -> None:
self._payload = payload
def raise_for_status(self) -> None:
return None
def json(self) -> dict[str, Any]:
return self._payload
class _FakeAsyncClient:
"""Stand-in for ``httpx.AsyncClient`` returning a canned ``/models`` body."""
def __init__(self, payload: dict[str, Any]) -> None:
self._payload = payload
async def __aenter__(self) -> "_FakeAsyncClient":
return self
async def __aexit__(self, *exc: object) -> bool:
return False
async def get(self, url: str, headers: dict[str, str] | None = None) -> _FakeResponse:
return _FakeResponse(self._payload)
def _patch_models_endpoint(payload: dict[str, Any]) -> Any:
"""Patch the provider's ``httpx.AsyncClient`` to serve ``payload``."""
return patch(
"routstr.upstream.generic.httpx.AsyncClient",
lambda *args, **kwargs: _FakeAsyncClient(payload),
)
def _model_by_id(models: list[Any], model_id: str) -> Any:
return next(m for m in models if m.id == model_id)
# ---------------------------------------------------------------------------
# native model_spec (Venice) — must keep resolving, and capture its metadata
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_native_model_spec_resolves_and_captures_metadata() -> None:
"""A Venice-shaped ``model_spec`` is authoritative: prices/context come
straight from it and vision capability becomes an image input modality."""
payload = {
"data": [
{
"id": "venice-llama",
"owned_by": "venice",
"model_spec": {
"name": "Venice Llama",
"availableContextTokens": 65536,
"pricing": {
"input": {"usd": 0.5},
"output": {"usd": 1.5},
},
"capabilities": {"supportsVision": True},
},
}
]
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch(
"routstr.payment.models.async_fetch_openrouter_models", or_feed
):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "venice-llama")
assert model.enabled is True
assert model.pricing.prompt == pytest.approx(0.5 / 1_000_000)
assert model.pricing.completion == pytest.approx(1.5 / 1_000_000)
assert model.context_length == 65536
assert "image" in model.architecture.input_modalities
# Vision capability must be reflected in the combined modality string, not
# flattened to "text->text".
assert model.architecture.modality == "text+image->text"
# A native price never needs the OpenRouter feed.
or_feed.assert_not_awaited()
# ---------------------------------------------------------------------------
# native model_spec validation — a bogus native price is not authoritative
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_native_both_zero_price_falls_through_to_litellm() -> None:
"""A native ``model_spec`` that prices both tokens at 0 is not a real price
(the same free-tier trap the litellm/OpenRouter rungs already reject). It
must not be treated as authoritative and served free; the resolver falls
through, so a litellm-known model lands on litellm's real rate instead."""
payload = {
"data": [
{
"id": "deepseek-chat",
"owned_by": "deepseek",
"model_spec": {
"pricing": {"input": {"usd": 0}, "output": {"usd": 0}},
},
}
]
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch("routstr.payment.models.async_fetch_openrouter_models", or_feed):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "deepseek-chat")
assert model.enabled is True
assert model.pricing.prompt == pytest.approx(2.8e-07)
assert model.pricing.completion == pytest.approx(4.2e-07)
@pytest.mark.asyncio
async def test_native_negative_price_falls_through_to_litellm() -> None:
"""A negative native price would credit the caller's balance on every
request (a fund drain, not a discount). Reject it like any other unusable
price and fall through to the chain."""
payload = {
"data": [
{
"id": "deepseek-chat",
"owned_by": "deepseek",
"model_spec": {
"pricing": {"input": {"usd": -0.5}, "output": {"usd": -1.5}},
},
}
]
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch("routstr.payment.models.async_fetch_openrouter_models", or_feed):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "deepseek-chat")
assert model.enabled is True
assert model.pricing.prompt == pytest.approx(2.8e-07)
assert model.pricing.completion == pytest.approx(4.2e-07)
@pytest.mark.asyncio
async def test_native_non_numeric_price_does_not_break_catalog() -> None:
"""A non-numeric native price (``"free"``) must not raise while parsing —
an unguarded ``"free" / 1_000_000`` throws and the outer catch drops the
*entire* provider catalog. It has to fail closed for that one model while
every other model in the same response still resolves."""
payload = {
"data": [
{
"id": "broken-price",
"owned_by": "mystery",
"model_spec": {
"pricing": {"input": {"usd": "free"}, "output": {"usd": "free"}},
},
},
{"id": "deepseek-chat", "object": "model", "owned_by": "deepseek"},
]
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch("routstr.payment.models.async_fetch_openrouter_models", or_feed):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
# One malformed entry must not empty the catalog.
assert {m.id for m in models} == {"broken-price", "deepseek-chat"}
broken = _model_by_id(models, "broken-price")
assert broken.enabled is False
healthy = _model_by_id(models, "deepseek-chat")
assert healthy.enabled is True
assert healthy.pricing.prompt == pytest.approx(2.8e-07)
# ---------------------------------------------------------------------------
# litellm rescue — the money-critical case (DeepSeek bare /models)
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_bare_deepseek_resolves_via_litellm() -> None:
"""DeepSeek's ``/models`` carries no pricing. The old code fabricated
``$0.001`` + ctx 4096; the resolver must instead pull DeepSeek's real
rates from litellm's bundled cost map (``$0.28``/``$0.42`` per 1M, ctx
131072) and keep the model enabled."""
payload = {
"data": [
{"id": "deepseek-chat", "object": "model", "owned_by": "deepseek"},
]
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch(
"routstr.payment.models.async_fetch_openrouter_models", or_feed
):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "deepseek-chat")
assert model.enabled is True
assert model.pricing.prompt == pytest.approx(2.8e-07)
assert model.pricing.completion == pytest.approx(4.2e-07)
assert model.context_length == 131072
# Richer metadata than the two base prices is captured too.
assert model.pricing.input_cache_read == pytest.approx(2.8e-08)
assert model.top_provider is not None
assert model.top_provider.max_completion_tokens == 8192
# litellm answered, so the OpenRouter feed is never consulted.
or_feed.assert_not_awaited()
@pytest.mark.asyncio
async def test_litellm_zero_price_entry_fails_closed(
caplog: pytest.LogCaptureFixture,
) -> None:
"""A litellm entry that lists a model but prices it at 0/0 (free-tier
moderation/rerank models do this) is not a real price treating it as one
would silently serve the model for free. The resolver must reject a both-zero
litellm hit and fall through, so the model imports disabled, not at $0."""
payload = {
"data": [
{"id": "omni-moderation-latest", "object": "model", "owned_by": "openai"},
]
}
gen_logger = logging.getLogger("routstr.upstream.generic")
gen_logger.addHandler(caplog.handler)
try:
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch(
"routstr.payment.models.async_fetch_openrouter_models", or_feed
):
models = await GenericUpstreamProvider(
base_url="http://x"
).fetch_models()
finally:
gen_logger.removeHandler(caplog.handler)
model = _model_by_id(models, "omni-moderation-latest")
assert model.enabled is False
assert model.pricing.prompt == 0.0
assert model.pricing.completion == 0.0
assert any(
"omni-moderation-latest" in rec.getMessage()
for rec in caplog.records
if rec.levelno >= logging.WARNING
)
@pytest.mark.asyncio
async def test_litellm_output_cap_not_used_as_context() -> None:
"""litellm's ``max_tokens`` is the completion cap, not the context window
(it tracks ``max_output_tokens`` for ~94% of models). When a model reports
no ``max_input_tokens``, the resolver must not smuggle the output cap in as
the context window; it falls back to the id-based estimate instead, while
``max_tokens`` still feeds the completion limit."""
payload = {
"data": [
{
"id": "gemini/gemini-gemma-2-9b-it",
"object": "model",
"owned_by": "google",
},
]
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch(
"routstr.payment.models.async_fetch_openrouter_models", or_feed
):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "gemini/gemini-gemma-2-9b-it")
assert model.enabled is True
# litellm gives this model max_input_tokens=None, max_tokens=8192 (an output
# cap). Context must come from the estimate (4096), never the 8192 cap.
assert model.context_length == 4096
# The 8192 output cap still lands where it belongs: the completion limit.
assert model.top_provider is not None
assert model.top_provider.max_completion_tokens == 8192
# ---------------------------------------------------------------------------
# OpenRouter fallback — litellm misses, OR carries a full payload
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_unknown_to_litellm_resolves_via_openrouter() -> None:
"""A model litellm has never heard of still resolves if the OpenRouter
feed lists it, pulling price + context from that entry."""
payload = {
"data": [
{"id": "exotic/model-9000", "object": "model", "owned_by": "exotic"},
]
}
or_entry = {
"id": "exotic/model-9000",
"name": "Exotic 9000",
"context_length": 65536,
"architecture": {
"modality": "text+image->text",
"input_modalities": ["text", "image"],
"output_modalities": ["text"],
"tokenizer": "Other",
"instruct_type": None,
},
"pricing": {"prompt": "0.000005", "completion": "0.000010"},
"top_provider": {
"context_length": 65536,
"max_completion_tokens": 4096,
"is_moderated": False,
},
}
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[or_entry])
with patch(
"routstr.payment.models.async_fetch_openrouter_models", or_feed
):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "exotic/model-9000")
assert model.enabled is True
assert model.pricing.prompt == pytest.approx(5e-06)
assert model.pricing.completion == pytest.approx(1e-05)
assert model.context_length == 65536
# The feed's own modality string is carried through verbatim, not recomputed.
assert model.architecture.modality == "text+image->text"
or_feed.assert_awaited()
@pytest.mark.asyncio
async def test_openrouter_bare_tail_collision_picks_highest_price() -> None:
"""When a bare model id matches several OpenRouter entries by tail
(``model`` ``a/model``, ``b/model``), the match must be deterministic and
money-safe: pick the highest-priced candidate regardless of feed order, so
ordering can never leave the node charging below true cost. (The live feed
has zero such collisions today; this guards the latent case.)"""
payload = {
"data": [
{"id": "zzz-phantom-model", "object": "model", "owned_by": "mystery"},
]
}
# Same bare tail, different resellers; the pricier one is listed *second*
# so a first-wins match would pick the cheaper (undercharging) entry.
or_feed = AsyncMock(
return_value=[
{
"id": "cheapco/zzz-phantom-model",
"context_length": 8192,
"pricing": {"prompt": "0.000001", "completion": "0.000002"},
},
{
"id": "premiumco/zzz-phantom-model",
"context_length": 8192,
"pricing": {"prompt": "0.000009", "completion": "0.000010"},
},
]
)
with _patch_models_endpoint(payload):
with patch("routstr.payment.models.async_fetch_openrouter_models", or_feed):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "zzz-phantom-model")
assert model.pricing.prompt == pytest.approx(9e-06)
assert model.pricing.completion == pytest.approx(1e-05)
@pytest.mark.asyncio
async def test_openrouter_bare_tail_tie_breaks_on_combined_cost() -> None:
"""The bare-tail tie-break must weigh *both* rates, not prompt alone.
Given two colliding entries where one is cheaper on prompt but far dearer
on completion, ranking by prompt would pick the entry that undercharges
output-heavy traffic. Pick the highest *combined* per-token cost so the
money-safe choice holds whichever way the traffic leans."""
payload = {
"data": [
{"id": "yyy-phantom-model", "object": "model", "owned_by": "mystery"},
]
}
# dear-overall is listed first with the *lower* prompt, so a prompt-only max
# would wrongly pick the second (cheaper-overall) entry.
or_feed = AsyncMock(
return_value=[
{
"id": "dearco/yyy-phantom-model",
"context_length": 8192,
"pricing": {"prompt": "0.000001", "completion": "0.000100"},
},
{
"id": "cheapco/yyy-phantom-model",
"context_length": 8192,
"pricing": {"prompt": "0.000009", "completion": "0.000002"},
},
]
)
with _patch_models_endpoint(payload):
with patch("routstr.payment.models.async_fetch_openrouter_models", or_feed):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
model = _model_by_id(models, "yyy-phantom-model")
assert model.pricing.prompt == pytest.approx(1e-06)
assert model.pricing.completion == pytest.approx(1e-04)
@pytest.mark.asyncio
async def test_openrouter_feed_fetched_once_per_discovery() -> None:
"""Two models both missing litellm must share a single OpenRouter fetch —
the feed is not re-downloaded per model."""
payload = {
"data": [
{"id": "exotic/model-a", "object": "model", "owned_by": "exotic"},
{"id": "exotic/model-b", "object": "model", "owned_by": "exotic"},
]
}
or_feed = AsyncMock(
return_value=[
{
"id": "exotic/model-a",
"context_length": 8192,
"pricing": {"prompt": "0.000001", "completion": "0.000002"},
},
{
"id": "exotic/model-b",
"context_length": 8192,
"pricing": {"prompt": "0.000003", "completion": "0.000004"},
},
]
)
with _patch_models_endpoint(payload):
with patch("routstr.payment.models.async_fetch_openrouter_models", or_feed):
models = await GenericUpstreamProvider(base_url="http://x").fetch_models()
assert {m.id for m in models} == {"exotic/model-a", "exotic/model-b"}
assert or_feed.await_count == 1
# ---------------------------------------------------------------------------
# fail closed — no source resolves → disabled + warned, never fabricated
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_unresolvable_model_fails_closed(
caplog: pytest.LogCaptureFixture,
) -> None:
"""When native, litellm and OpenRouter all miss, the model is imported
disabled with a warning naming it and no price is invented (the old
``$0.001`` placeholder is gone)."""
payload = {
"data": [
{
"id": "nobody-has-priced-this-xyz",
"object": "model",
"owned_by": "mystery",
},
]
}
# routstr loggers set propagate=False, so caplog's root handler misses
# them; attach its handler to the provider logger directly.
gen_logger = logging.getLogger("routstr.upstream.generic")
gen_logger.addHandler(caplog.handler)
try:
with _patch_models_endpoint(payload):
or_feed = AsyncMock(return_value=[])
with patch(
"routstr.payment.models.async_fetch_openrouter_models", or_feed
):
models = await GenericUpstreamProvider(
base_url="http://x"
).fetch_models()
finally:
gen_logger.removeHandler(caplog.handler)
model = _model_by_id(models, "nobody-has-priced-this-xyz")
assert model.enabled is False
assert model.pricing.prompt == 0.0
assert model.pricing.completion == 0.0
assert any(
"nobody-has-priced-this-xyz" in rec.getMessage()
for rec in caplog.records
if rec.levelno >= logging.WARNING
)
@@ -68,6 +68,8 @@ const FormSchema = z.object({
upstream_provider_id: z.string().default(''),
input_cost: z.coerce.number().min(0).default(0),
output_cost: z.coerce.number().min(0).default(0),
cache_read_cost: z.coerce.number().min(0).default(0),
cache_write_cost: z.coerce.number().min(0).default(0),
request_cost: z.coerce.number().min(0).default(0),
image_cost: z.coerce.number().min(0).default(0),
web_search_cost: z.coerce.number().min(0).default(0),
@@ -125,6 +127,8 @@ export function AddProviderModelDialog({
upstream_provider_id: '',
input_cost: 0,
output_cost: 0,
cache_read_cost: 0,
cache_write_cost: 0,
request_cost: 0,
image_cost: 0,
web_search_cost: 0,
@@ -190,6 +194,8 @@ export function AddProviderModelDialog({
: initialData.upstream_provider_id?.toString() || '',
input_cost: pricing?.prompt ?? 0,
output_cost: pricing?.completion ?? 0,
cache_read_cost: pricing?.input_cache_read ?? 0,
cache_write_cost: pricing?.input_cache_write ?? 0,
request_cost: pricing?.request ?? 0,
image_cost: pricing?.image ?? 0,
web_search_cost: pricing?.web_search ?? 0,
@@ -231,6 +237,8 @@ export function AddProviderModelDialog({
upstream_provider_id: '',
input_cost: 0,
output_cost: 0,
cache_read_cost: 0,
cache_write_cost: 0,
request_cost: 0,
image_cost: 0,
web_search_cost: 0,
@@ -294,6 +302,8 @@ export function AddProviderModelDialog({
);
form.setValue('input_cost', pricing?.prompt ?? 0);
form.setValue('output_cost', pricing?.completion ?? 0);
form.setValue('cache_read_cost', pricing?.input_cache_read ?? 0);
form.setValue('cache_write_cost', pricing?.input_cache_write ?? 0);
form.setValue('request_cost', pricing?.request ?? 0);
form.setValue('image_cost', pricing?.image ?? 0);
form.setValue('web_search_cost', pricing?.web_search ?? 0);
@@ -365,6 +375,8 @@ export function AddProviderModelDialog({
pricing: {
prompt: data.input_cost,
completion: data.output_cost,
input_cache_read: data.cache_read_cost,
input_cache_write: data.cache_write_cost,
request: data.request_cost,
image: data.image_cost,
web_search: data.web_search_cost,
@@ -810,6 +822,38 @@ export function AddProviderModelDialog({
</FormItem>
)}
/>
<FormField
control={form.control}
name='cache_read_cost'
render={({ field }) => (
<FormItem>
<FormLabel>Cache Read Cost</FormLabel>
<FormControl>
<Input type='number' step='0.000001' {...field} />
</FormControl>
<FormDescription>
Discounted cached-input read price per 1M tokens.
</FormDescription>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name='cache_write_cost'
render={({ field }) => (
<FormItem>
<FormLabel>Cache Write Cost</FormLabel>
<FormControl>
<Input type='number' step='0.000001' {...field} />
</FormControl>
<FormDescription>
Cached-input creation price per 1M tokens.
</FormDescription>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name='request_cost'
+20
View File
@@ -118,6 +118,26 @@ export function ProviderFormFields({
/>
)}
<div className='grid gap-2'>
<Label htmlFor={`${idPrefix}slug`}>
Slug {mode === 'create' ? '(optional, auto-generated)' : ''}
</Label>
<Input
id={`${idPrefix}slug`}
value={formData.slug || ''}
onChange={(e) =>
setFormData((prev) => ({
...prev,
slug: e.target.value || undefined,
}))
}
placeholder='e.g. openai-prod'
/>
<p className='text-muted-foreground text-xs'>
Stable external key used to update this provider via the admin API.
</p>
</div>
<div className='grid gap-2'>
<Label htmlFor={`${idPrefix}base_url`}>Base URL</Label>
<Input
+11 -2
View File
@@ -14,6 +14,7 @@ export const ProviderTypeSchema = z.object({
export const UpstreamProviderSchema = z.object({
id: z.number(),
slug: z.string().nullable().optional(),
provider_type: z.string(),
base_url: z.string(),
api_key: z.string().optional(),
@@ -31,6 +32,7 @@ export const CreateUpstreamProviderSchema = z.object({
enabled: z.boolean().default(true),
provider_fee: z.number().optional(),
provider_settings: z.record(z.string(), z.any()).nullable().optional(),
slug: z.string().optional(),
});
export const UpdateUpstreamProviderSchema = z.object({
@@ -41,6 +43,7 @@ export const UpdateUpstreamProviderSchema = z.object({
enabled: z.boolean().optional(),
provider_fee: z.number().optional(),
provider_settings: z.record(z.string(), z.any()).nullable().optional(),
slug: z.string().optional(),
});
export const AdminModelPricingSchema = z.object({
@@ -50,6 +53,8 @@ export const AdminModelPricingSchema = z.object({
image: z.number().optional(),
web_search: z.number().optional(),
internal_reasoning: z.number().optional(),
input_cache_read: z.number().optional(),
input_cache_write: z.number().optional(),
});
export const AdminModelArchitectureSchema = z.object({
@@ -146,7 +151,7 @@ export class AdminService {
if (!pricing) return pricing;
const result = { ...pricing };
// Only prompt and completion are per-token and need scaling to per-1M
// Token-priced fields are stored per-token by the API and shown per-1M in the UI.
const convertField = (field: string) => {
const val = result[field];
if (val !== undefined && val !== null) {
@@ -161,6 +166,8 @@ export class AdminService {
convertField('prompt');
convertField('completion');
convertField('input_cache_read');
convertField('input_cache_write');
// Other fields (request, image, etc.) are already flat fees (per item)
// so we do NOT scale them.
@@ -174,7 +181,7 @@ export class AdminService {
if (!pricing) return pricing;
const result = { ...pricing };
// Only prompt and completion are per-1M in UI and need scaling down to per-token
// Token-priced fields are per-1M in the UI and need scaling down to per-token.
const convertField = (field: string) => {
const val = result[field];
if (val !== undefined && val !== null) {
@@ -187,6 +194,8 @@ export class AdminService {
convertField('prompt');
convertField('completion');
convertField('input_cache_read');
convertField('input_cache_write');
// Other fields stay as flat fees
Generated
+194 -143
View File
@@ -17,7 +17,7 @@ wheels = [
[[package]]
name = "aiohttp"
version = "3.12.15"
version = "3.14.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -26,61 +26,111 @@ dependencies = [
{ name = "frozenlist" },
{ name = "multidict" },
{ name = "propcache" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
{ name = "yarl" },
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